From 55ec5d5051c632bb4f165184179736974fcb1c47 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Tue, 18 Jul 2023 08:21:35 +0900
Subject: [PATCH 001/986] [SPARK-44453][PYTHON] Use difflib to display errors
 in assertDataFrameEqual

### What changes were proposed in this pull request?
This PR uses the built-in Python library, difflib, to display errors in the testing util `assertDataFrameEqual`

### Why are the changes needed?
The change makes the error message output more user-friendly, as well as consistent with `assertSchemaEqual`

### Does this PR introduce _any_ user-facing change?
Yes, the PR changes the test util output for the user-facing util function `assertDataFrameEqual`.

### How was this patch tested?
Existing tests in `runtime/python/pyspark/sql/tests/test_utils.py` and `runtime/python/pyspark/sql/tests/connect/test_utils.py`

Example output:
<img width="891" alt="Screenshot 2023-07-16 at 8 20 31 PM" src="https://github.com/apache/spark/assets/68875504/2d7a9d02-bb9e-4c21-b330-5ec01b2e9ec8">

<img width="868" alt="Screenshot 2023-07-16 at 8 20 41 PM" src="https://github.com/apache/spark/assets/68875504/eba9f3e8-e147-491c-934b-34e8351df012">

Closes #42031 from asl3/difflib-assertdfequal.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit aa688106df02c9d31e3c93be4c5e28a8e8aec92b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_utils.py | 177 +++++++++----------------
 python/pyspark/testing/utils.py        |  33 +++--
 2 files changed, 82 insertions(+), 128 deletions(-)

diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index eae3f52850419..9c31eb4d6bdd1 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -151,19 +151,14 @@ def test_assert_approx_equal_arraytype_float_default_rtol_fail(self):
         expected_error_message = "Results do not match: "
         percent_diff = (1 / 2) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[1])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[1])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -294,19 +289,14 @@ def test_assert_notequal_arraytype(self):
         expected_error_message = "Results do not match: "
         percent_diff = (1 / 2) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[1])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[1])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -598,19 +588,14 @@ def test_assert_notequal_nullval(self):
         expected_error_message = "Results do not match: "
         percent_diff = (1 / 2) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[1])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[1])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -722,31 +707,19 @@ def test_check_row_order_error(self):
         expected_error_message = "Results do not match: "
         percent_diff = (2 / 2) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[0])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[0])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        diff_msg += (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[1])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[1])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[0]).splitlines(), str(df2.collect()[0]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        )
+        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2, checkRowOrder=True)
@@ -829,31 +802,19 @@ def test_assert_pyspark_df_not_equal(self):
         expected_error_message = "Results do not match: "
         percent_diff = (2 / 3) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[0])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[0])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        diff_msg += (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[2])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(df2.collect()[2])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[0]).splitlines(), str(df2.collect()[0]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[2]).splitlines(), str(df2.collect()[2]).splitlines()
+        )
+        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -1197,31 +1158,19 @@ def test_list_row_unequal_schema(self):
         expected_error_message = "Results do not match: "
         percent_diff = (2 / 2) * 100
         expected_error_message += "( %.5f %% )" % percent_diff
-        diff_msg = (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[0])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(list_of_rows[0])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        diff_msg += (
-            "[actual]"
-            + "\n"
-            + str(df1.collect()[1])
-            + "\n\n"
-            + "[expected]"
-            + "\n"
-            + str(list_of_rows[1])
-            + "\n\n"
-            + "********************"
-            + "\n\n"
-        )
-        expected_error_message += "\n" + diff_msg
+
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[0]).splitlines(), str(list_of_rows[0]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+        generated_diff = difflib.ndiff(
+            str(df1.collect()[1]).splitlines(), str(list_of_rows[1]).splitlines()
+        )
+        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, list_of_rows)
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 14db926420942..acbfb522f69f4 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -346,6 +346,9 @@ def assertDataFrameEqual(
 
     Notes
     -----
+    When assertDataFrameEqual fails, the error message uses the Python `difflib` library to display
+    a diff log of each row that differs in `actual` and `expected`.
+
     For checkRowOrder, note that PySpark DataFrame ordering is non-deterministic, unless
     explicitly sorted.
 
@@ -374,15 +377,18 @@ def assertDataFrameEqual(
     >>> assertDataFrameEqual(df1, df2)  # doctest: +IGNORE_EXCEPTION_DETAIL
     Traceback (most recent call last):
     ...
-    PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 66.667 % )
-    [actual]
-    Row(id='1', amount=1000.0)
-    [expected]
-    Row(id='1', amount=1001.0)
-    [actual]
-    Row(id='3', amount=2000.0)
-    [expected]
-    Row(id='3', amount=2003.0)
+    PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 66.66667 % )
+    --- actual
+    +++ expected
+    - Row(id='1', amount=1000.0)
+    ?                       ^
+    + Row(id='1', amount=1001.0)
+    ?                       ^
+    - Row(id='3', amount=2000.0)
+    ?                       ^
+    + Row(id='3', amount=2003.0)
+    ?                       ^
+
     """
     if actual is None and expected is None:
         return True
@@ -471,15 +477,14 @@ def assert_rows_equal(rows1: List[Row], rows2: List[Row]):
             if not compare_rows(r1, r2):
                 rows_equal = False
                 diff_rows_cnt += 1
-                diff_msg += (
-                    "[actual]" + "\n" + str(r1) + "\n\n" + "[expected]" + "\n" + str(r2) + "\n\n"
-                )
-                diff_msg += "********************" + "\n\n"
+                generated_diff = difflib.ndiff(str(r1).splitlines(), str(r2).splitlines())
+                diff_msg += "\n" + "\n".join(generated_diff) + "\n"
+                diff_msg += "********************" + "\n"
 
         if not rows_equal:
             percent_diff = (diff_rows_cnt / len(zipped)) * 100
             error_msg += "( %.5f %% )" % percent_diff
-            error_msg += "\n" + diff_msg
+            error_msg += "\n" + "--- actual\n+++ expected\n" + diff_msg
             raise PySparkAssertionError(
                 error_class="DIFFERENT_ROWS",
                 message_parameters={"error_msg": error_msg},

From 30971c41aedaed32da3670058e3a13917d6a4e0f Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Tue, 18 Jul 2023 08:50:49 +0900
Subject: [PATCH 002/986] [SPARK-44413][PYTHON] Clarify error for unsupported
 arg data type in assertDataFrameEqual

### What changes were proposed in this pull request?
This PR adds an error class, `INVALID_TYPE_DF_EQUALITY_ARG`, to clarify the error message for unsupported argument data types when calling `assertDataFrameEqual`.

### Why are the changes needed?
The fix helps clarify why an error is thrown and what is wrong when a user passes unsupported arg types into the `assertDataFrameEqual` util function.

### Does this PR introduce any user-facing change?
Yes, the PR modifies error message seen by users.

### How was this patch tested?
Modified tests in `runtime/python/pyspark/sql/tests/test_utils.py` and `runtime/python/pyspark/sql/tests/connect/test_utils.py`

Closes #42027 from asl3/datatype-error-clarify.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d574dbcc85965df4a48d608230e591cc23adb525)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py |  5 ++++
 python/pyspark/sql/tests/test_utils.py | 33 +++++++++++++++++------
 python/pyspark/testing/utils.py        | 36 +++++++++++++++++++-------
 3 files changed, 56 insertions(+), 18 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 2cecee4da440a..e45bc0797c95b 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -263,6 +263,11 @@
       "StructField does not have typeName. Use typeName on its type explicitly instead."
     ]
   },
+  "INVALID_TYPE_DF_EQUALITY_ARG" : {
+    "message" : [
+      "Expected type <expected_type> for `<arg_name>` but got type <actual_type>."
+    ]
+  },
   "INVALID_UDF_EVAL_TYPE" : {
     "message" : [
       "Eval type for UDF must be <eval_type>."
diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index 9c31eb4d6bdd1..a1cefe7c840d6 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -39,6 +39,7 @@
     IntegerType,
     BooleanType,
 )
+from pyspark.sql.dataframe import DataFrame
 
 import difflib
 
@@ -633,8 +634,12 @@ def test_assert_error_pandas_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="UNSUPPORTED_DATA_TYPE",
-            message_parameters={"data_type": pd.DataFrame},
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": DataFrame,
+                "arg_name": "df",
+                "actual_type": pd.DataFrame,
+            },
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -642,8 +647,12 @@ def test_assert_error_pandas_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="UNSUPPORTED_DATA_TYPE",
-            message_parameters={"data_type": pd.DataFrame},
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": DataFrame,
+                "arg_name": "df",
+                "actual_type": pd.DataFrame,
+            },
         )
 
     def test_assert_error_non_pyspark_df(self):
@@ -655,8 +664,12 @@ def test_assert_error_non_pyspark_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="UNSUPPORTED_DATA_TYPE",
-            message_parameters={"data_type": type(dict1)},
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": DataFrame,
+                "arg_name": "df",
+                "actual_type": type(dict1),
+            },
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -664,8 +677,12 @@ def test_assert_error_non_pyspark_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="UNSUPPORTED_DATA_TYPE",
-            message_parameters={"data_type": type(dict1)},
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": DataFrame,
+                "arg_name": "df",
+                "actual_type": type(dict1),
+            },
         )
 
     def test_row_order_ignored(self):
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index acbfb522f69f4..b8977b6fffd79 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -35,7 +35,7 @@
 from pyspark import SparkContext, SparkConf
 from pyspark.errors import PySparkAssertionError, PySparkException
 from pyspark.find_spark_home import _find_spark_home
-from pyspark.sql.dataframe import DataFrame as DataFrame
+from pyspark.sql.dataframe import DataFrame
 from pyspark.sql import Row
 from pyspark.sql.types import StructType, AtomicType, StructField
 
@@ -322,7 +322,7 @@ def assertDataFrameEqual(
 ):
     r"""
     A util function to assert equality between `actual` (DataFrame) and `expected`
-    (either DataFrame or list of Rows), with optional parameter `checkRowOrder`.
+    (DataFrame or list of Rows), with optional parameters `checkRowOrder`, `rtol`, and `atol`.
 
     .. versionadded:: 3.5.0
 
@@ -401,8 +401,12 @@ def assertDataFrameEqual(
 
         if not isinstance(actual, DataFrame) and not isinstance(actual, ConnectDataFrame):
             raise PySparkAssertionError(
-                error_class="UNSUPPORTED_DATA_TYPE",
-                message_parameters={"data_type": type(actual)},
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": DataFrame,
+                    "arg_name": "df",
+                    "actual_type": type(actual),
+                },
             )
         elif (
             not isinstance(expected, DataFrame)
@@ -410,19 +414,31 @@ def assertDataFrameEqual(
             and not isinstance(expected, List)
         ):
             raise PySparkAssertionError(
-                error_class="UNSUPPORTED_DATA_TYPE",
-                message_parameters={"data_type": type(expected)},
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": Union[DataFrame, List[Row]],
+                    "arg_name": "expected",
+                    "actual_type": type(expected),
+                },
             )
     except Exception:
         if not isinstance(actual, DataFrame):
             raise PySparkAssertionError(
-                error_class="UNSUPPORTED_DATA_TYPE",
-                message_parameters={"data_type": type(actual)},
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": DataFrame,
+                    "arg_name": "df",
+                    "actual_type": type(actual),
+                },
             )
         elif not isinstance(expected, DataFrame) and not isinstance(expected, List):
             raise PySparkAssertionError(
-                error_class="UNSUPPORTED_DATA_TYPE",
-                message_parameters={"data_type": type(expected)},
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": Union[DataFrame, List[Row]],
+                    "arg_name": "expected",
+                    "actual_type": type(expected),
+                },
             )
 
     # special cases: empty datasets, datasets with 0 columns

From 24b63b67c36356f18b0d7cf676acf8d027c7e437 Mon Sep 17 00:00:00 2001
From: jdesjean <jf.gauthier@databricks.com>
Date: Tue, 18 Jul 2023 09:04:33 +0900
Subject: [PATCH 003/986] [SPARK-43923][CONNECT] Post listenerBus events during
 ExecutePlanRequest

### What changes were proposed in this pull request?
Add new SparkListenerEvent during Spark Connect ExecutePlanRequest:
SparkListenerConnectOperationStarted
SparkListenerConnectOperationParsed
SparkListenerConnectOperationCanceled,
SparkListenerConnectOperationFailed
SparkListenerConnectOperationFinished
SparkListenerConnectOperationClosed
SparkListenerConnectSessionClosed .

### Why are the changes needed?
HiveThriftServer2EventManager currently posts events to the listener bus to allow external listeners to track query execution. Mirror these events in Spark Connect.
Created new events instead of reusing the thrift events to allow them to evolve separately.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
Manual + Unit + E2E

Closes #41443 from jdesjean/SPARK-43923.

Authored-by: jdesjean <jf.gauthier@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit b44e6054dac545008075d602b5d3612522fd3b3a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/connect/common/ProtoUtils.scala |  10 +-
 .../execution/ExecuteThreadRunner.scala       |  10 +-
 .../execution/SparkConnectPlanExecution.scala |  26 +-
 .../connect/planner/SparkConnectPlanner.scala | 121 ++--
 .../service/ExecuteEventsManager.scala        | 420 +++++++++++++
 .../sql/connect/service/ExecuteHolder.scala   |   3 +
 .../service/SessionEventsManager.scala        | 128 ++++
 .../sql/connect/service/SessionHolder.scala   |  12 +
 .../SparkConnectExecutePlanHandler.scala      |   2 +
 .../connect/service/SparkConnectService.scala |  11 +-
 .../spark/sql/connect/utils/ErrorUtils.scala  |  29 +-
 .../planner/SparkConnectPlannerSuite.scala    |  29 +-
 .../planner/SparkConnectServiceSuite.scala    | 588 ++++++++++++++----
 .../SparkConnectPluginRegistrySuite.scala     |   6 +-
 .../service/ExecuteEventsManagerSuite.scala   | 318 ++++++++++
 .../service/SessionEventsManagerSuite.scala   | 102 +++
 16 files changed, 1621 insertions(+), 194 deletions(-)
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionEventsManager.scala
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SessionEventsManagerSuite.scala

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
index 83f84f45b317e..e0c7d267c604e 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
@@ -27,15 +27,15 @@ private[connect] object ProtoUtils {
   private val MAX_BYTES_SIZE = 8
   private val MAX_STRING_SIZE = 1024
 
-  def abbreviate(message: Message): Message = {
+  def abbreviate(message: Message, maxStringSize: Int = MAX_STRING_SIZE): Message = {
     val builder = message.toBuilder
 
     message.getAllFields.asScala.iterator.foreach {
       case (field: FieldDescriptor, string: String)
           if field.getJavaType == FieldDescriptor.JavaType.STRING && string != null =>
         val size = string.size
-        if (size > MAX_STRING_SIZE) {
-          builder.setField(field, createString(string.take(MAX_STRING_SIZE), size))
+        if (size > maxStringSize) {
+          builder.setField(field, createString(string.take(maxStringSize), size))
         } else {
           builder.setField(field, string)
         }
@@ -43,8 +43,8 @@ private[connect] object ProtoUtils {
       case (field: FieldDescriptor, byteString: ByteString)
           if field.getJavaType == FieldDescriptor.JavaType.BYTE_STRING && byteString != null =>
         val size = byteString.size
-        if (size > MAX_BYTES_SIZE) {
-          val prefix = Array.tabulate(MAX_BYTES_SIZE)(byteString.byteAt)
+        if (size > maxStringSize) {
+          val prefix = Array.tabulate(maxStringSize)(byteString.byteAt)
           builder.setField(field, createByteString(prefix, size))
         } else {
           builder.setField(field, byteString)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index b7b3d2adf9f79..6c2ffa4654747 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -78,7 +78,6 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
           // and different exceptions like InterruptedException, ClosedByInterruptException etc.
           // could be thrown.
           if (interrupted) {
-            // Turn the interrupt into OPERATION_CANCELED error.
             throw new SparkSQLException("OPERATION_CANCELED", Map.empty)
           } else {
             // Rethrown the original error.
@@ -92,7 +91,9 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
         "execute",
         executeHolder.responseObserver,
         executeHolder.sessionHolder.userId,
-        executeHolder.sessionHolder.sessionId)
+        executeHolder.sessionHolder.sessionId,
+        Some(executeHolder.eventsManager),
+        interrupted)
     }
   }
 
@@ -148,9 +149,8 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
     val planner = new SparkConnectPlanner(executeHolder.sessionHolder)
     planner.process(
       command = command,
-      userId = request.getUserContext.getUserId,
-      sessionId = request.getSessionId,
-      responseObserver = responseObserver)
+      responseObserver = responseObserver,
+      executeHolder = executeHolder)
     responseObserver.onCompleted()
   }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
index 74b4a5f659741..d2124a38c9d4e 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.connect.execution
 
 import scala.collection.JavaConverters._
+import scala.util.{Failure, Success}
 
 import com.google.protobuf.ByteString
 import io.grpc.stub.StreamObserver
@@ -54,13 +55,15 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
       throw new IllegalStateException(
         s"Illegal operation type ${request.getPlan.getOpTypeCase} to be handled here.")
     }
-
-    // Extract the plan from the request and convert it to a logical plan
     val planner = new SparkConnectPlanner(sessionHolder)
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
     val dataframe =
-      Dataset.ofRows(sessionHolder.session, planner.transformRelation(request.getPlan.getRoot))
+      Dataset.ofRows(
+        sessionHolder.session,
+        planner.transformRelation(request.getPlan.getRoot),
+        tracker)
     responseObserver.onNext(createSchemaResponse(request.getSessionId, dataframe.schema))
-    processAsArrowBatches(request.getSessionId, dataframe, responseObserver)
+    processAsArrowBatches(dataframe, responseObserver, executeHolder)
     responseObserver.onNext(
       MetricGenerator.createMetricsResponse(request.getSessionId, dataframe))
     if (dataframe.queryExecution.observedMetrics.nonEmpty) {
@@ -87,10 +90,11 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
     batches.map(b => b -> batches.rowCountInLastBatch)
   }
 
-  private def processAsArrowBatches(
-      sessionId: String,
+  def processAsArrowBatches(
       dataframe: DataFrame,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executePlan: ExecuteHolder): Unit = {
+    val sessionId = executePlan.sessionHolder.sessionId
     val spark = dataframe.sparkSession
     val schema = dataframe.schema
     val maxRecordsPerBatch = spark.sessionState.conf.arrowMaxRecordsPerBatch
@@ -120,6 +124,7 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
 
     dataframe.queryExecution.executedPlan match {
       case LocalTableScanExec(_, rows) =>
+        executePlan.eventsManager.postFinished()
         converter(rows.iterator).foreach { case (bytes, count) =>
           sendBatch(bytes, count)
         }
@@ -156,13 +161,14 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
               resultFunc = () => ())
 
             // Collect errors and propagate them to the main thread.
-            future.onComplete { result =>
-              result.failed.foreach { throwable =>
+            future.onComplete {
+              case Success(_) =>
+                executePlan.eventsManager.postFinished()
+              case Failure(throwable) =>
                 signal.synchronized {
                   error = Some(throwable)
                   signal.notify()
                 }
-              }
             }(ThreadUtils.sameThread)
 
             // The main thread will wait until 0-th partition is available,
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index f82cb6760404d..39cb4c1b972b1 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -57,8 +57,7 @@ import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, CharVarcharUtils}
 import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, ForeachWriterPacket, InvalidPlanInput, LiteralValueProtoConverter, StorageLevelProtoConverter, StreamingListenerPacket, UdfPacket}
 import org.apache.spark.sql.connect.config.Connect.CONNECT_GRPC_ARROW_MAX_BATCH_SIZE
 import org.apache.spark.sql.connect.plugin.SparkConnectPluginRegistry
-import org.apache.spark.sql.connect.service.SessionHolder
-import org.apache.spark.sql.connect.service.SparkConnectService
+import org.apache.spark.sql.connect.service.{ExecuteHolder, SessionHolder, SparkConnectService}
 import org.apache.spark.sql.connect.utils.MetricGenerator
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.QueryExecution
@@ -86,7 +85,11 @@ final case class InvalidCommandInput(
 
 class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
-  def session: SparkSession = sessionHolder.session
+  private[connect] def session: SparkSession = sessionHolder.session
+
+  private[connect] def userId: String = sessionHolder.userId
+
+  private[connect] def sessionId: String = sessionHolder.sessionId
 
   private lazy val pythonExec =
     sys.env.getOrElse("PYSPARK_PYTHON", sys.env.getOrElse("PYSPARK_DRIVER_PYTHON", "python3"))
@@ -2333,56 +2336,58 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
   def process(
       command: proto.Command,
-      userId: String,
-      sessionId: String,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
     command.getCommandTypeCase match {
       case proto.Command.CommandTypeCase.REGISTER_FUNCTION =>
-        handleRegisterUserDefinedFunction(command.getRegisterFunction)
+        handleRegisterUserDefinedFunction(command.getRegisterFunction, executeHolder)
       case proto.Command.CommandTypeCase.REGISTER_TABLE_FUNCTION =>
-        handleRegisterUserDefinedTableFunction(command.getRegisterTableFunction)
+        handleRegisterUserDefinedTableFunction(command.getRegisterTableFunction, executeHolder)
       case proto.Command.CommandTypeCase.WRITE_OPERATION =>
-        handleWriteOperation(command.getWriteOperation)
+        handleWriteOperation(command.getWriteOperation, executeHolder)
       case proto.Command.CommandTypeCase.CREATE_DATAFRAME_VIEW =>
-        handleCreateViewCommand(command.getCreateDataframeView)
+        handleCreateViewCommand(command.getCreateDataframeView, executeHolder)
       case proto.Command.CommandTypeCase.WRITE_OPERATION_V2 =>
-        handleWriteOperationV2(command.getWriteOperationV2)
+        handleWriteOperationV2(command.getWriteOperationV2, executeHolder)
       case proto.Command.CommandTypeCase.EXTENSION =>
-        handleCommandPlugin(command.getExtension)
+        handleCommandPlugin(command.getExtension, executeHolder)
       case proto.Command.CommandTypeCase.SQL_COMMAND =>
-        handleSqlCommand(command.getSqlCommand, sessionId, responseObserver)
+        handleSqlCommand(command.getSqlCommand, responseObserver, executeHolder)
       case proto.Command.CommandTypeCase.WRITE_STREAM_OPERATION_START =>
         handleWriteStreamOperationStart(
           command.getWriteStreamOperationStart,
-          userId,
-          sessionId,
-          responseObserver)
+          responseObserver,
+          executeHolder)
       case proto.Command.CommandTypeCase.STREAMING_QUERY_COMMAND =>
-        handleStreamingQueryCommand(command.getStreamingQueryCommand, sessionId, responseObserver)
+        handleStreamingQueryCommand(
+          command.getStreamingQueryCommand,
+          responseObserver,
+          executeHolder)
       case proto.Command.CommandTypeCase.STREAMING_QUERY_MANAGER_COMMAND =>
         handleStreamingQueryManagerCommand(
           command.getStreamingQueryManagerCommand,
-          sessionId,
-          responseObserver)
+          responseObserver,
+          executeHolder)
       case proto.Command.CommandTypeCase.GET_RESOURCES_COMMAND =>
-        handleGetResourcesCommand(sessionId, responseObserver)
+        handleGetResourcesCommand(responseObserver, executeHolder)
       case _ => throw new UnsupportedOperationException(s"$command not supported.")
     }
   }
 
   def handleSqlCommand(
       getSqlCommand: SqlCommand,
-      sessionId: String,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
     // Eagerly execute commands of the provided SQL string.
     val args = getSqlCommand.getArgsMap
     val posArgs = getSqlCommand.getPosArgsList
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
     val df = if (!args.isEmpty) {
-      session.sql(getSqlCommand.getSql, args.asScala.mapValues(transformLiteral).toMap)
+      session.sql(getSqlCommand.getSql, args.asScala.mapValues(transformLiteral).toMap, tracker)
     } else if (!posArgs.isEmpty) {
-      session.sql(getSqlCommand.getSql, posArgs.asScala.map(transformLiteral).toArray)
+      session.sql(getSqlCommand.getSql, posArgs.asScala.map(transformLiteral).toArray, tracker)
     } else {
-      session.sql(getSqlCommand.getSql)
+      session.sql(getSqlCommand.getSql, Map.empty[String, Any], tracker)
     }
     // Check if commands have been executed.
     val isCommand = df.queryExecution.commandExecuted.isInstanceOf[CommandResult]
@@ -2430,6 +2435,9 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
               .newBuilder()
               .setData(ByteString.copyFrom(bytes))))
     } else {
+      // Trigger assertExecutedPlanPrepared to ensure post ReadyForExecution before finished
+      // executedPlan is currently called by createMetricsResponse below
+      df.queryExecution.assertExecutedPlanPrepared()
       result.setRelation(
         proto.Relation
           .newBuilder()
@@ -2440,6 +2448,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
               .putAllArgs(getSqlCommand.getArgsMap)
               .addAllPosArgs(getSqlCommand.getPosArgsList)))
     }
+    executeHolder.eventsManager.postFinished()
     // Exactly one SQL Command Result Batch
     responseObserver.onNext(
       ExecutePlanResponse
@@ -2453,7 +2462,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
   }
 
   private def handleRegisterUserDefinedFunction(
-      fun: proto.CommonInlineUserDefinedFunction): Unit = {
+      fun: proto.CommonInlineUserDefinedFunction,
+      executeHolder: ExecuteHolder): Unit = {
     fun.getFunctionCase match {
       case proto.CommonInlineUserDefinedFunction.FunctionCase.PYTHON_UDF =>
         handleRegisterPythonUDF(fun)
@@ -2465,10 +2475,12 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         throw InvalidPlanInput(
           s"Function with ID: ${fun.getFunctionCase.getNumber} is not supported")
     }
+    executeHolder.eventsManager.postFinished()
   }
 
   private def handleRegisterUserDefinedTableFunction(
-      fun: proto.CommonInlineUserDefinedTableFunction): Unit = {
+      fun: proto.CommonInlineUserDefinedTableFunction,
+      executeHolder: ExecuteHolder): Unit = {
     fun.getFunctionCase match {
       case proto.CommonInlineUserDefinedTableFunction.FunctionCase.PYTHON_UDTF =>
         val function = createPythonUserDefinedTableFunction(fun)
@@ -2477,6 +2489,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         throw InvalidPlanInput(
           s"Function with ID: ${fun.getFunctionCase.getNumber} is not supported")
     }
+    executeHolder.eventsManager.postFinished()
   }
 
   private def createPythonUserDefinedTableFunction(
@@ -2532,7 +2545,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     session.udf.register(fun.getFunctionName, udf)
   }
 
-  private def handleCommandPlugin(extension: ProtoAny): Unit = {
+  private def handleCommandPlugin(extension: ProtoAny, executeHolder: ExecuteHolder): Unit = {
     SparkConnectPluginRegistry.commandRegistry
       // Lazily traverse the collection.
       .view
@@ -2542,9 +2555,12 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       .find(_.nonEmpty)
       .flatten
       .getOrElse(throw InvalidPlanInput("No handler found for extension"))
+    executeHolder.eventsManager.postFinished()
   }
 
-  private def handleCreateViewCommand(createView: proto.CreateDataFrameViewCommand): Unit = {
+  private def handleCreateViewCommand(
+      createView: proto.CreateDataFrameViewCommand,
+      executeHolder: ExecuteHolder): Unit = {
     val viewType = if (createView.getIsGlobal) GlobalTempView else LocalTempView
 
     val tableIdentifier =
@@ -2566,7 +2582,9 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       replace = createView.getReplace,
       viewType = viewType)
 
-    Dataset.ofRows(session, plan).queryExecution.commandExecuted
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
+    Dataset.ofRows(session, plan, tracker).queryExecution.commandExecuted
+    executeHolder.eventsManager.postFinished()
   }
 
   /**
@@ -2578,11 +2596,14 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
    *
    * @param writeOperation
    */
-  private def handleWriteOperation(writeOperation: proto.WriteOperation): Unit = {
+  private def handleWriteOperation(
+      writeOperation: proto.WriteOperation,
+      executeHolder: ExecuteHolder): Unit = {
     // Transform the input plan into the logical plan.
     val plan = transformRelation(writeOperation.getInput)
     // And create a Dataset from the plan.
-    val dataset = Dataset.ofRows(session, logicalPlan = plan)
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
+    val dataset = Dataset.ofRows(session, plan, tracker)
 
     val w = dataset.write
     if (writeOperation.getMode != proto.WriteOperation.SaveMode.SAVE_MODE_UNSPECIFIED) {
@@ -2637,6 +2658,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
           "WriteOperation:SaveTypeCase not supported "
             + s"${writeOperation.getSaveTypeCase.getNumber}")
     }
+    executeHolder.eventsManager.postFinished()
   }
 
   /**
@@ -2648,11 +2670,14 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
    *
    * @param writeOperation
    */
-  def handleWriteOperationV2(writeOperation: proto.WriteOperationV2): Unit = {
+  def handleWriteOperationV2(
+      writeOperation: proto.WriteOperationV2,
+      executeHolder: ExecuteHolder): Unit = {
     // Transform the input plan into the logical plan.
     val plan = transformRelation(writeOperation.getInput)
     // And create a Dataset from the plan.
-    val dataset = Dataset.ofRows(session, logicalPlan = plan)
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
+    val dataset = Dataset.ofRows(session, plan, tracker)
 
     val w = dataset.writeTo(table = writeOperation.getTableName)
 
@@ -2703,15 +2728,18 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         throw new UnsupportedOperationException(
           s"WriteOperationV2:ModeValue not supported ${writeOperation.getModeValue}")
     }
+    executeHolder.eventsManager.postFinished()
   }
 
   def handleWriteStreamOperationStart(
       writeOp: WriteStreamOperationStart,
-      userId: String,
-      sessionId: String,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
     val plan = transformRelation(writeOp.getInput)
-    val dataset = Dataset.ofRows(session, logicalPlan = plan)
+    val tracker = executeHolder.eventsManager.createQueryPlanningTracker
+    val dataset = Dataset.ofRows(session, plan, tracker)
+    // Call manually as writeStream does not trigger ReadyForExecution
+    tracker.setReadyForExecution()
 
     val writer = dataset.writeStream
 
@@ -2789,6 +2817,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     SparkConnectService.streamingSessionManager.registerNewStreamingQuery(
       sessionHolder = SessionHolder(userId = userId, sessionId = sessionId, session),
       query = query)
+    executeHolder.eventsManager.postFinished()
 
     val result = WriteStreamOperationStartResult
       .newBuilder()
@@ -2811,8 +2840,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
   def handleStreamingQueryCommand(
       command: StreamingQueryCommand,
-      sessionId: String,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
 
     val id = command.getQueryId.getId
     val runId = command.getQueryId.getRunId
@@ -2915,6 +2944,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         throw new IllegalArgumentException("Missing command in StreamingQueryCommand")
     }
 
+    executeHolder.eventsManager.postFinished()
     responseObserver.onNext(
       ExecutePlanResponse
         .newBuilder()
@@ -2982,9 +3012,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
   def handleStreamingQueryManagerCommand(
       command: StreamingQueryManagerCommand,
-      sessionId: String,
-      responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
-
+      responseObserver: StreamObserver[ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
     val respBuilder = StreamingQueryManagerCommandResult.newBuilder()
 
     command.getCommandCase match {
@@ -3045,6 +3074,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         throw new IllegalArgumentException("Missing command in StreamingQueryManagerCommand")
     }
 
+    executeHolder.eventsManager.postFinished()
     responseObserver.onNext(
       ExecutePlanResponse
         .newBuilder()
@@ -3054,8 +3084,9 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
   }
 
   def handleGetResourcesCommand(
-      sessionId: String,
-      responseObserver: StreamObserver[proto.ExecutePlanResponse]): Unit = {
+      responseObserver: StreamObserver[proto.ExecutePlanResponse],
+      executeHolder: ExecuteHolder): Unit = {
+    executeHolder.eventsManager.postFinished()
     responseObserver.onNext(
       proto.ExecutePlanResponse
         .newBuilder()
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
new file mode 100644
index 0000000000000..0af54f034a254
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
@@ -0,0 +1,420 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import com.fasterxml.jackson.annotation.JsonIgnore
+import com.google.protobuf.Message
+
+import org.apache.spark.connect.proto
+import org.apache.spark.scheduler.SparkListenerEvent
+import org.apache.spark.sql.catalyst.{QueryPlanningTracker, QueryPlanningTrackerCallback}
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.connect.common.ProtoUtils
+import org.apache.spark.util.{Clock, Utils}
+
+object ExecuteEventsManager {
+  // TODO: Make this configurable
+  val MAX_STATEMENT_TEXT_SIZE = 65535
+}
+
+sealed abstract class ExecuteStatus(value: Int)
+
+object ExecuteStatus {
+  case object Pending extends ExecuteStatus(0)
+  case object Started extends ExecuteStatus(1)
+  case object Analyzed extends ExecuteStatus(2)
+  case object ReadyForExecution extends ExecuteStatus(3)
+  case object Finished extends ExecuteStatus(4)
+  case object Failed extends ExecuteStatus(5)
+  case object Canceled extends ExecuteStatus(6)
+  case object Closed extends ExecuteStatus(7)
+}
+
+/**
+ * Post request Connect events to @link org.apache.spark.scheduler.LiveListenerBus.
+ *
+ * @param executeHolder:
+ *   Request for which the events are generated.
+ * @param clock:
+ *   Source of time for unit tests.
+ */
+case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
+
+  private def operationId = executeHolder.operationId
+
+  private def jobTag = executeHolder.jobTag
+
+  private def listenerBus = sessionHolder.session.sparkContext.listenerBus
+
+  private def sessionHolder = executeHolder.sessionHolder
+
+  private def sessionId = executeHolder.request.getSessionId
+
+  private def sessionStatus = sessionHolder.eventManager.status
+
+  private var _status: ExecuteStatus = ExecuteStatus.Pending
+
+  private var error = Option.empty[Boolean]
+
+  private var canceled = Option.empty[Boolean]
+
+  /**
+   * @return
+   *   Last event posted by the Connect request
+   */
+  private[connect] def status: ExecuteStatus = _status
+
+  /**
+   * @return
+   *   True when the Connect request has posted @link
+   *   org.apache.spark.sql.connect.service.SparkListenerConnectOperationCanceled
+   */
+  private[connect] def hasCanceled: Option[Boolean] = canceled
+
+  /**
+   * @return
+   *   True when the Connect request has posted @link
+   *   org.apache.spark.sql.connect.service.SparkListenerConnectOperationFailed
+   */
+  private[connect] def hasError: Option[Boolean] = error
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationStarted.
+   */
+  def postStarted(): Unit = {
+    assertStatus(List(ExecuteStatus.Pending), ExecuteStatus.Started)
+    val request = executeHolder.request
+    val plan: Message =
+      request.getPlan.getOpTypeCase match {
+        case proto.Plan.OpTypeCase.COMMAND => request.getPlan.getCommand
+        case proto.Plan.OpTypeCase.ROOT => request.getPlan.getRoot
+        case _ =>
+          throw new UnsupportedOperationException(
+            s"${request.getPlan.getOpTypeCase} not supported.")
+      }
+
+    listenerBus.post(
+      SparkListenerConnectOperationStarted(
+        jobTag,
+        operationId,
+        clock.getTimeMillis(),
+        sessionId,
+        request.getUserContext.getUserId,
+        request.getUserContext.getUserName,
+        Utils.redact(
+          sessionHolder.session.sessionState.conf.stringRedactionPattern,
+          ProtoUtils.abbreviate(plan, ExecuteEventsManager.MAX_STATEMENT_TEXT_SIZE).toString),
+        Some(request)))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationAnalyzed.
+   *
+   * @param analyzedPlan
+   *   The analyzed plan generated by the Connect request plan. None when the request does not
+   *   generate a plan.
+   */
+  def postAnalyzed(analyzedPlan: Option[LogicalPlan] = None): Unit = {
+    assertStatus(List(ExecuteStatus.Started, ExecuteStatus.Analyzed), ExecuteStatus.Analyzed)
+    val event =
+      SparkListenerConnectOperationAnalyzed(jobTag, operationId, clock.getTimeMillis())
+    event.analyzedPlan = analyzedPlan
+    listenerBus.post(event)
+  }
+
+  /**
+   * Post @link
+   * org.apache.spark.sql.connect.service.SparkListenerConnectOperationReadyForExecution.
+   */
+  def postReadyForExecution(): Unit = {
+    assertStatus(List(ExecuteStatus.Analyzed), ExecuteStatus.ReadyForExecution)
+    listenerBus.post(
+      SparkListenerConnectOperationReadyForExecution(jobTag, operationId, clock.getTimeMillis()))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationCanceled.
+   */
+  def postCanceled(): Unit = {
+    assertStatus(
+      List(
+        ExecuteStatus.Started,
+        ExecuteStatus.Analyzed,
+        ExecuteStatus.ReadyForExecution,
+        ExecuteStatus.Finished,
+        ExecuteStatus.Failed),
+      ExecuteStatus.Canceled)
+    canceled = Some(true)
+    listenerBus
+      .post(SparkListenerConnectOperationCanceled(jobTag, operationId, clock.getTimeMillis()))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationFailed.
+   *
+   * @param errorMessage
+   *   The message of the error thrown during the request.
+   */
+  def postFailed(errorMessage: String): Unit = {
+    assertStatus(
+      List(
+        ExecuteStatus.Started,
+        ExecuteStatus.Analyzed,
+        ExecuteStatus.ReadyForExecution,
+        ExecuteStatus.Finished),
+      ExecuteStatus.Failed)
+    error = Some(true)
+    listenerBus.post(
+      SparkListenerConnectOperationFailed(
+        jobTag,
+        operationId,
+        clock.getTimeMillis(),
+        errorMessage))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationFinished.
+   */
+  def postFinished(): Unit = {
+    assertStatus(
+      List(ExecuteStatus.Started, ExecuteStatus.ReadyForExecution),
+      ExecuteStatus.Finished)
+    listenerBus
+      .post(SparkListenerConnectOperationFinished(jobTag, operationId, clock.getTimeMillis()))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationClosed.
+   */
+  def postClosed(): Unit = {
+    assertStatus(
+      List(ExecuteStatus.Finished, ExecuteStatus.Failed, ExecuteStatus.Canceled),
+      ExecuteStatus.Closed)
+    listenerBus
+      .post(SparkListenerConnectOperationClosed(jobTag, operationId, clock.getTimeMillis()))
+  }
+
+  /**
+   * @return
+   *   \@link A org.apache.spark.sql.catalyst.QueryPlanningTracker that calls postAnalyzed &
+   *   postReadyForExecution after analysis & prior execution.
+   */
+  def createQueryPlanningTracker(): QueryPlanningTracker = {
+    new QueryPlanningTracker(Some(new QueryPlanningTrackerCallback {
+      def analyzed(tracker: QueryPlanningTracker, analyzedPlan: LogicalPlan): Unit = {
+        postAnalyzed(Some(analyzedPlan))
+      }
+
+      def readyForExecution(tracker: QueryPlanningTracker): Unit = postReadyForExecution
+    }))
+  }
+
+  private[connect] def status_(executeStatus: ExecuteStatus): Unit = {
+    _status = executeStatus
+  }
+
+  private def assertStatus(
+      validStatuses: List[ExecuteStatus],
+      eventStatus: ExecuteStatus): Unit = {
+    if (!validStatuses
+        .find(s => s == status)
+        .isDefined) {
+      throw new IllegalStateException(s"""
+        operationId: $operationId with status ${status}
+        is not within statuses $validStatuses for event $eventStatus
+        """)
+    }
+    if (sessionHolder.eventManager.status != SessionStatus.Started) {
+      throw new IllegalStateException(s"""
+        sessionId: $sessionId with status $sessionStatus
+        is not Started for event $eventStatus
+        """)
+    }
+    _status = eventStatus
+  }
+}
+
+/**
+ * Event sent after reception of a Connect request (i.e. not queued), but prior any analysis or
+ * execution.
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.setJobGroup) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param sessionId:
+ *   ID assigned by the client or Connect the operation was executed on.
+ * @param userId:
+ *   Opaque userId set in the Connect request.
+ * @param userName:
+ *   Opaque userName set in the Connect request.
+ * @param statementText:
+ *   The connect request plan converted to text.
+ * @param planRequest:
+ *   The Connect request. None if the operation is not of type @link proto.ExecutePlanRequest
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationStarted(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    sessionId: String,
+    userId: String,
+    userName: String,
+    statementText: String,
+    planRequest: Option[proto.ExecutePlanRequest],
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * The event is sent after a Connect request has been analyzed (@link
+ * org.apache.spark.sql.catalyst.QueryPlanningTracker.ANALYSIS).
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationAnalyzed(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent {
+
+  /**
+   * Analyzed Spark plan generated by the Connect request. None when the Connect request does not
+   * generate a Spark plan.
+   */
+  @JsonIgnore var analyzedPlan: Option[LogicalPlan] = None
+}
+
+/**
+ * The event is sent after a Connect request is ready for execution. For eager commands this is
+ * after @link org.apache.spark.sql.catalyst.QueryPlanningTracker.ANALYSIS. For other requests it
+ * is after \@link org.apache.spark.sql.catalyst.QueryPlanningTracker.PLANNING
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationReadyForExecution(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * Event sent after a Connect request has been canceled.
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationCanceled(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * Event sent after a Connect request has failed.
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param errorMessage:
+ *   The message of the error thrown during the request.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationFailed(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    errorMessage: String,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * Event sent after a Connect request has finished executing, but prior results have been sent to
+ * client.
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationFinished(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * Event sent after a Connect request has finished executing and results have been sent to client.
+ *
+ * @param jobTag:
+ *   Opaque Spark jobTag (@link org.apache.spark.SparkContext.addJobTag) assigned by Connect
+ *   during a request. Designed to be unique across sessions and requests.
+ * @param operationId:
+ *   36 characters UUID assigned by Connect during a request.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata during the request.
+ */
+case class SparkListenerConnectOperationClosed(
+    jobTag: String,
+    operationId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 89aceaee1e4af..1f70973b60e0d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.connect.service
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.execution.{ExecuteGrpcResponseSender, ExecuteResponseObserver, ExecuteThreadRunner}
+import org.apache.spark.util.SystemClock
 
 /**
  * Object used to hold the Spark Connect execution state.
@@ -41,6 +42,8 @@ private[connect] class ExecuteHolder(
   val responseObserver: ExecuteResponseObserver[proto.ExecutePlanResponse] =
     new ExecuteResponseObserver[proto.ExecutePlanResponse]()
 
+  val eventsManager: ExecuteEventsManager = ExecuteEventsManager(this, new SystemClock())
+
   private val runner: ExecuteThreadRunner = new ExecuteThreadRunner(this)
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionEventsManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionEventsManager.scala
new file mode 100644
index 0000000000000..f275fab56bf5f
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionEventsManager.scala
@@ -0,0 +1,128 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import org.apache.spark.scheduler.SparkListenerEvent
+import org.apache.spark.util.{Clock}
+
+sealed abstract class SessionStatus(value: Int)
+
+object SessionStatus {
+  case object Pending extends SessionStatus(0)
+  case object Started extends SessionStatus(1)
+  case object Closed extends SessionStatus(2)
+}
+
+/**
+ * Post session Connect events to @link org.apache.spark.scheduler.LiveListenerBus.
+ *
+ * @param sessionHolder:
+ *   Session for which the events are generated.
+ * @param clock:
+ *   Source of time for unit tests.
+ */
+case class SessionEventsManager(sessionHolder: SessionHolder, clock: Clock) {
+
+  private def sessionId = sessionHolder.sessionId
+
+  private var _status: SessionStatus = SessionStatus.Pending
+
+  private[connect] def status_(sessionStatus: SessionStatus): Unit = {
+    _status = sessionStatus
+  }
+
+  /**
+   * @return
+   *   Last event posted by the Connect session
+   */
+  def status: SessionStatus = _status
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectSessionStarted.
+   */
+  def postStarted(): Unit = {
+    assertStatus(List(SessionStatus.Pending), SessionStatus.Started)
+    sessionHolder.session.sparkContext.listenerBus
+      .post(
+        SparkListenerConnectSessionStarted(
+          sessionHolder.sessionId,
+          sessionHolder.userId,
+          clock.getTimeMillis()))
+  }
+
+  /**
+   * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectSessionClosed.
+   */
+  def postClosed(): Unit = {
+    assertStatus(List(SessionStatus.Started), SessionStatus.Closed)
+    sessionHolder.session.sparkContext.listenerBus
+      .post(
+        SparkListenerConnectSessionClosed(
+          sessionHolder.sessionId,
+          sessionHolder.userId,
+          clock.getTimeMillis()))
+  }
+
+  private def assertStatus(
+      validStatuses: List[SessionStatus],
+      eventStatus: SessionStatus): Unit = {
+    if (!validStatuses
+        .find(s => s == status)
+        .isDefined) {
+      throw new IllegalStateException(s"""
+        sessionId: $sessionId with status ${status}
+        is not within statuses $validStatuses for event $eventStatus
+        """)
+    }
+    _status = eventStatus
+  }
+}
+
+/**
+ * Event sent after a Connect session has been started.
+ *
+ * @param sessionId:
+ *   ID assigned by the client or Connect the operation was executed on.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata
+ */
+case class SparkListenerConnectSessionStarted(
+    sessionId: String,
+    userId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
+
+/**
+ * Event sent after a Connect session has been closed.
+ *
+ * @param sessionId:
+ *   ID assigned by the client or Connect the operation was executed on.
+ * @param eventTime:
+ *   The time in ms when the event was generated.
+ * @param extraTags:
+ *   Additional metadata
+ */
+case class SparkListenerConnectSessionClosed(
+    sessionId: String,
+    userId: String,
+    eventTime: Long,
+    extraTags: Map[String, String] = Map.empty)
+    extends SparkListenerEvent
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 2f3bd1badcecc..5ac4f6db82aa3 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -33,6 +33,7 @@ import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.SparkConnectArtifactManager
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.streaming.StreamingQueryListener
+import org.apache.spark.util.{SystemClock}
 import org.apache.spark.util.Utils
 
 /**
@@ -44,6 +45,8 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
   val executions: ConcurrentMap[String, ExecuteHolder] =
     new ConcurrentHashMap[String, ExecuteHolder]()
 
+  val eventManager: SessionEventsManager = SessionEventsManager(this, new SystemClock())
+
   // Mapping from relation ID (passed to client) to runtime dataframe. Used for callbacks like
   // foreachBatch() in Streaming. Lazy since most sessions don't need it.
   private lazy val dataFrameCache: ConcurrentMap[String, DataFrame] = new ConcurrentHashMap()
@@ -60,6 +63,10 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     executePlanHolder
   }
 
+  private[connect] def executeHolder(operationId: String): Option[ExecuteHolder] = {
+    Option(executions.get(operationId))
+  }
+
   private[connect] def removeExecuteHolder(operationId: String): Unit = {
     executions.remove(operationId)
   }
@@ -98,12 +105,17 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    */
   def classloader: ClassLoader = artifactManager.classloader
 
+  private[connect] def initializeSession(): Unit = {
+    eventManager.postStarted()
+  }
+
   /**
    * Expire this session and trigger state cleanup mechanisms.
    */
   private[connect] def expireSession(): Unit = {
     logDebug(s"Expiring session with userId: $userId and sessionId: $sessionId")
     artifactManager.cleanUpResources()
+    eventManager.postClosed()
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
index 50ca733b43915..b4e91c438359c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
@@ -32,6 +32,7 @@ class SparkConnectExecutePlanHandler(responseObserver: StreamObserver[proto.Exec
     val executeHolder = sessionHolder.createExecuteHolder(v)
 
     try {
+      executeHolder.eventsManager.postStarted()
       executeHolder.start()
       val responseSender =
         new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](responseObserver)
@@ -44,6 +45,7 @@ class SparkConnectExecutePlanHandler(responseObserver: StreamObserver[proto.Exec
     } finally {
       // TODO this will change with detachable execution.
       executeHolder.join()
+      executeHolder.eventsManager.postClosed()
       sessionHolder.removeExecuteHolder(executeHolder.operationId)
     }
   }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index c38fbbdfcf97d..ad40c94d5498c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -223,10 +223,19 @@ object SparkConnectService {
     userSessionMapping.get(
       (userId, sessionId),
       () => {
-        SessionHolder(userId, sessionId, newIsolatedSession())
+        val holder = SessionHolder(userId, sessionId, newIsolatedSession())
+        holder.initializeSession()
+        holder
       })
   }
 
+  /**
+   * Used for testing
+   */
+  private[connect] def invalidateAllSessions(): Unit = {
+    userSessionMapping.invalidateAll()
+  }
+
   private def newIsolatedSession(): SparkSession = {
     SparkSession.active.newSession()
   }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
index d0f754827dad8..326bdd0052c64 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
@@ -35,6 +35,7 @@ import org.apache.spark.{SparkEnv, SparkException, SparkThrowable}
 import org.apache.spark.api.python.PythonException
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.config.Connect
+import org.apache.spark.sql.connect.service.ExecuteEventsManager
 import org.apache.spark.sql.connect.service.SparkConnectService
 import org.apache.spark.sql.internal.SQLConf
 
@@ -103,32 +104,42 @@ private[connect] object ErrorUtils extends Logging {
       opType: String,
       observer: StreamObserver[V],
       userId: String,
-      sessionId: String): PartialFunction[Throwable, Unit] = {
+      sessionId: String,
+      events: Option[ExecuteEventsManager] = None,
+      isInterrupted: Boolean = false): PartialFunction[Throwable, Unit] = {
     val session =
       SparkConnectService
         .getOrCreateIsolatedSession(userId, sessionId)
         .session
     val stackTraceEnabled = session.conf.get(SQLConf.PYSPARK_JVM_STACKTRACE_ENABLED)
 
-    {
+    val partial: PartialFunction[Throwable, (Throwable, Throwable)] = {
       case se: SparkException if isPythonExecutionException(se) =>
-        logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", se)
-        observer.onError(
+        (
+          se,
           StatusProto.toStatusRuntimeException(
             buildStatusFromThrowable(se.getCause, stackTraceEnabled)))
 
       case e: Throwable if e.isInstanceOf[SparkThrowable] || NonFatal.apply(e) =>
-        logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", e)
-        observer.onError(
-          StatusProto.toStatusRuntimeException(buildStatusFromThrowable(e, stackTraceEnabled)))
+        (e, StatusProto.toStatusRuntimeException(buildStatusFromThrowable(e, stackTraceEnabled)))
 
       case e: Throwable =>
-        logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", e)
-        observer.onError(
+        (
+          e,
           Status.UNKNOWN
             .withCause(e)
             .withDescription(StringUtils.abbreviate(e.getMessage, 2048))
             .asRuntimeException())
     }
+    partial
+      .andThen { case (original, wrapped) =>
+        logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", original)
+        if (isInterrupted) {
+          events.foreach(_.postCanceled)
+        } else {
+          events.foreach(_.postFailed(wrapped.getMessage))
+        }
+        observer.onError(wrapped)
+      }
   }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
index a10540676b04e..595f9d65c269b 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
@@ -35,7 +35,7 @@ import org.apache.spark.sql.catalyst.plans.logical
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto
-import org.apache.spark.sql.connect.service.SessionHolder
+import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteStatus, SessionHolder, SessionStatus}
 import org.apache.spark.sql.execution.arrow.ArrowConverters
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
@@ -58,8 +58,9 @@ trait SparkConnectPlanTest extends SharedSparkSession {
   }
 
   def transform(cmd: proto.Command): Unit = {
-    new SparkConnectPlanner(SessionHolder.forTesting(spark))
-      .process(cmd, "clientId", "sessionId", new MockObserver())
+    val executeHolder = buildExecutePlanHolder(cmd)
+    new SparkConnectPlanner(executeHolder.sessionHolder)
+      .process(cmd, new MockObserver(), executeHolder)
   }
 
   def readRel: proto.Relation =
@@ -114,6 +115,28 @@ trait SparkConnectPlanTest extends SharedSparkSession {
     localRelationBuilder.setData(ByteString.copyFrom(bytes))
     proto.Relation.newBuilder().setLocalRelation(localRelationBuilder.build()).build()
   }
+
+  def buildExecutePlanHolder(command: proto.Command): ExecuteHolder = {
+    val sessionHolder = SessionHolder.forTesting(spark)
+    sessionHolder.eventManager.status_(SessionStatus.Started)
+
+    val context = proto.UserContext
+      .newBuilder()
+      .setUserId(sessionHolder.userId)
+      .build()
+    val plan = proto.Plan
+      .newBuilder()
+      .setCommand(command)
+      .build()
+    val request = proto.ExecutePlanRequest
+      .newBuilder()
+      .setPlan(plan)
+      .setUserContext(context)
+      .build()
+    val executeHolder = sessionHolder.createExecuteHolder(request)
+    executeHolder.eventsManager.status_(ExecuteStatus.Started)
+    executeHolder
+  }
 }
 
 /**
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index bceaada9051e3..498084efb8f3f 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -16,30 +16,49 @@
  */
 package org.apache.spark.sql.connect.planner
 
+import java.util.UUID
+import java.util.concurrent.Semaphore
+
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 
+import com.google.protobuf
+import com.google.protobuf.ByteString
 import io.grpc.StatusRuntimeException
 import io.grpc.stub.StreamObserver
 import org.apache.arrow.memory.RootAllocator
 import org.apache.arrow.vector.{BigIntVector, Float8Vector}
 import org.apache.arrow.vector.ipc.ArrowStreamReader
 import org.apache.commons.lang3.{JavaVersion, SystemUtils}
+import org.mockito.Mockito.when
+import org.scalatest.Tag
+import org.scalatestplus.mockito.MockitoSugar
 
+import org.apache.spark.{SparkContext, SparkEnv}
 import org.apache.spark.connect.proto
+import org.apache.spark.connect.proto.CreateDataFrameViewCommand
+import org.apache.spark.internal.Logging
+import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent}
+import org.apache.spark.sql.connect.common.DataTypeProtoConverter
+import org.apache.spark.sql.connect.config.Connect
 import org.apache.spark.sql.connect.dsl.MockRemoteSession
 import org.apache.spark.sql.connect.dsl.expressions._
 import org.apache.spark.sql.connect.dsl.plans._
-import org.apache.spark.sql.connect.service.{SparkConnectAnalyzeHandler, SparkConnectService}
-import org.apache.spark.sql.connect.service.SessionHolder
+import org.apache.spark.sql.connect.plugin.SparkConnectPluginRegistry
+import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteStatus, SessionHolder, SessionStatus, SparkConnectAnalyzeHandler, SparkConnectService, SparkListenerConnectOperationStarted}
+import org.apache.spark.sql.connector.catalog.InMemoryPartitionTableCatalog
+import org.apache.spark.sql.streaming.StreamingQuery
 import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.IntegerType
+import org.apache.spark.util.Utils
 
 /**
  * Testing Connect Service implementation.
  */
-class SparkConnectServiceSuite extends SharedSparkSession {
+class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with Logging {
 
   private def sparkSessionHolder = SessionHolder.forTesting(spark)
+  private def DEFAULT_UUID = UUID.fromString("89ea6117-1f45-4c03-ae27-f47c6aded093")
 
   test("Test schema in analyze response") {
     withTable("test") {
@@ -131,126 +150,365 @@ class SparkConnectServiceSuite extends SharedSparkSession {
   }
 
   test("SPARK-41224: collect data using arrow") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
-    val instance = new SparkConnectService(false)
-    val connect = new MockRemoteSession()
-    val context = proto.UserContext
-      .newBuilder()
-      .setUserId("c1")
-      .build()
-    val plan = proto.Plan
-      .newBuilder()
-      .setRoot(connect.sql("select id, exp(id) as eid from range(0, 100, 1, 4)"))
-      .build()
-    val request = proto.ExecutePlanRequest
-      .newBuilder()
-      .setPlan(plan)
-      .setUserContext(context)
-      .build()
-
-    // Execute plan.
-    @volatile var done = false
-    val responses = mutable.Buffer.empty[proto.ExecutePlanResponse]
-    instance.executePlan(
-      request,
-      new StreamObserver[proto.ExecutePlanResponse] {
-        override def onNext(v: proto.ExecutePlanResponse): Unit = responses += v
-
-        override def onError(throwable: Throwable): Unit = throw throwable
-
-        override def onCompleted(): Unit = done = true
-      })
-
-    // The current implementation is expected to be blocking. This is here to make sure it is.
-    assert(done)
-
-    // 4 Partitions + Metrics
-    assert(responses.size == 6)
-
-    // Make sure the first response is schema only
-    val head = responses.head
-    assert(head.hasSchema && !head.hasArrowBatch && !head.hasMetrics)
-
-    // Make sure the last response is metrics only
-    val last = responses.last
-    assert(last.hasMetrics && !last.hasSchema && !last.hasArrowBatch)
-
-    val allocator = new RootAllocator()
-
-    // Check the 'data' batches
-    var expectedId = 0L
-    var previousEId = 0.0d
-    responses.tail.dropRight(1).foreach { response =>
-      assert(response.hasArrowBatch)
-      val batch = response.getArrowBatch
-      assert(batch.getData != null)
-      assert(batch.getRowCount == 25)
-
-      val reader = new ArrowStreamReader(batch.getData.newInput(), allocator)
-      while (reader.loadNextBatch()) {
-        val root = reader.getVectorSchemaRoot
-        val idVector = root.getVector(0).asInstanceOf[BigIntVector]
-        val eidVector = root.getVector(1).asInstanceOf[Float8Vector]
-        val numRows = root.getRowCount
-        var i = 0
-        while (i < numRows) {
-          assert(idVector.get(i) == expectedId)
-          expectedId += 1
-          val eid = eidVector.get(i)
-          assert(eid > previousEId)
-          previousEId = eid
-          i += 1
+    withEvents { verifyEvents =>
+      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
+      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
+      val instance = new SparkConnectService(false)
+      val connect = new MockRemoteSession()
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+      val plan = proto.Plan
+        .newBuilder()
+        .setRoot(connect.sql("select id, exp(id) as eid from range(0, 100, 1, 4)"))
+        .build()
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setUserContext(context)
+        .build()
+
+      // Execute plan.
+      @volatile var done = false
+      val responses = mutable.Buffer.empty[proto.ExecutePlanResponse]
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            responses += v
+            verifyEvents.onNext(v)
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            verifyEvents.onError(throwable)
+            throw throwable
+          }
+
+          override def onCompleted(): Unit = {
+            done = true
+          }
+        })
+      verifyEvents.onCompleted()
+      // The current implementation is expected to be blocking. This is here to make sure it is.
+      assert(done)
+
+      // 4 Partitions + Metrics
+      assert(responses.size == 6)
+
+      // Make sure the first response is schema only
+      val head = responses.head
+      assert(head.hasSchema && !head.hasArrowBatch && !head.hasMetrics)
+
+      // Make sure the last response is metrics only
+      val last = responses.last
+      assert(last.hasMetrics && !last.hasSchema && !last.hasArrowBatch)
+
+      val allocator = new RootAllocator()
+
+      // Check the 'data' batches
+      var expectedId = 0L
+      var previousEId = 0.0d
+      responses.tail.dropRight(1).foreach { response =>
+        assert(response.hasArrowBatch)
+        val batch = response.getArrowBatch
+        assert(batch.getData != null)
+        assert(batch.getRowCount == 25)
+
+        val reader = new ArrowStreamReader(batch.getData.newInput(), allocator)
+        while (reader.loadNextBatch()) {
+          val root = reader.getVectorSchemaRoot
+          val idVector = root.getVector(0).asInstanceOf[BigIntVector]
+          val eidVector = root.getVector(1).asInstanceOf[Float8Vector]
+          val numRows = root.getRowCount
+          var i = 0
+          while (i < numRows) {
+            assert(idVector.get(i) == expectedId)
+            expectedId += 1
+            val eid = eidVector.get(i)
+            assert(eid > previousEId)
+            previousEId = eid
+            i += 1
+          }
         }
+        reader.close()
       }
-      reader.close()
+      allocator.close()
     }
-    allocator.close()
   }
 
-  test("SPARK-41165: failures in the arrow collect path should not cause hangs") {
-    val instance = new SparkConnectService(false)
+  gridTest("SPARK-43923: commands send events")(
+    Seq(
+      proto.Command
+        .newBuilder()
+        .setSqlCommand(proto.SqlCommand.newBuilder().setSql("select 1").build()),
+      proto.Command
+        .newBuilder()
+        .setSqlCommand(proto.SqlCommand.newBuilder().setSql("show tables").build()),
+      proto.Command
+        .newBuilder()
+        .setWriteOperation(
+          proto.WriteOperation
+            .newBuilder()
+            .setInput(
+              proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))
+            .setPath("my/test/path")
+            .setMode(proto.WriteOperation.SaveMode.SAVE_MODE_OVERWRITE)),
+      proto.Command
+        .newBuilder()
+        .setWriteOperationV2(
+          proto.WriteOperationV2
+            .newBuilder()
+            .setInput(proto.Relation.newBuilder.setRange(
+              proto.Range.newBuilder().setStart(0).setEnd(2).setStep(1L)))
+            .setTableName("testcat.testtable")
+            .setMode(proto.WriteOperationV2.Mode.MODE_CREATE)),
+      proto.Command
+        .newBuilder()
+        .setCreateDataframeView(
+          CreateDataFrameViewCommand
+            .newBuilder()
+            .setName("testview")
+            .setInput(
+              proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))),
+      proto.Command
+        .newBuilder()
+        .setGetResourcesCommand(proto.GetResourcesCommand.newBuilder()),
+      proto.Command
+        .newBuilder()
+        .setExtension(
+          protobuf.Any.pack(
+            proto.ExamplePluginCommand
+              .newBuilder()
+              .setCustomField("SPARK-43923")
+              .build())),
+      proto.Command
+        .newBuilder()
+        .setWriteStreamOperationStart(
+          proto.WriteStreamOperationStart
+            .newBuilder()
+            .setInput(
+              proto.Relation
+                .newBuilder()
+                .setRead(proto.Read
+                  .newBuilder()
+                  .setIsStreaming(true)
+                  .setDataSource(proto.Read.DataSource.newBuilder().setFormat("rate").build())
+                  .build())
+                .build())
+            .setOutputMode("Append")
+            .setAvailableNow(true)
+            .setQueryName("test")
+            .setFormat("memory")
+            .putOptions("checkpointLocation", s"${UUID.randomUUID}")
+            .setPath("test-path")
+            .build()),
+      proto.Command
+        .newBuilder()
+        .setStreamingQueryCommand(
+          proto.StreamingQueryCommand
+            .newBuilder()
+            .setQueryId(
+              proto.StreamingQueryInstanceId
+                .newBuilder()
+                .setId(DEFAULT_UUID.toString)
+                .setRunId(DEFAULT_UUID.toString)
+                .build())
+            .setStop(true)),
+      proto.Command
+        .newBuilder()
+        .setStreamingQueryManagerCommand(proto.StreamingQueryManagerCommand
+          .newBuilder()
+          .setListListeners(true)),
+      proto.Command
+        .newBuilder()
+        .setRegisterFunction(
+          proto.CommonInlineUserDefinedFunction
+            .newBuilder()
+            .setFunctionName("function")
+            .setPythonUdf(
+              proto.PythonUDF
+                .newBuilder()
+                .setEvalType(100)
+                .setOutputType(DataTypeProtoConverter.toConnectProtoType(IntegerType))
+                .setCommand(ByteString.copyFrom("command".getBytes()))
+                .setPythonVer("3.10")
+                .build())))) { command =>
+    withCommandTest { verifyEvents =>
+      val instance = new SparkConnectService(false)
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+      val plan = proto.Plan
+        .newBuilder()
+        .setCommand(command)
+        .build()
+
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setSessionId("s1")
+        .setUserContext(context)
+        .build()
+
+      // Execute plan.
+      @volatile var done = false
+      val responses = mutable.Buffer.empty[proto.ExecutePlanResponse]
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            responses += v
+            verifyEvents.onNext(v)
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            verifyEvents.onError(throwable)
+            throw throwable
+          }
+
+          override def onCompleted(): Unit = {
+            done = true
+          }
+        })
+      verifyEvents.onCompleted()
+      // The current implementation is expected to be blocking.
+      // This is here to make sure it is.
+      assert(done)
 
-    // Add an always crashing UDF
-    val session = SparkConnectService.getOrCreateIsolatedSession("c1", "session").session
-    val instaKill: Long => Long = { _ =>
-      throw new Exception("Kaboom")
+      // Result + Metrics
+      if (responses.size > 1) {
+        assert(responses.size == 2)
+
+        // Make sure the first response result only
+        val head = responses.head
+        assert(head.hasSqlCommandResult && !head.hasMetrics)
+
+        // Make sure the last response is metrics only
+        val last = responses.last
+        assert(last.hasMetrics && !last.hasSqlCommandResult)
+      }
     }
-    session.udf.register("insta_kill", instaKill)
-
-    val connect = new MockRemoteSession()
-    val context = proto.UserContext
-      .newBuilder()
-      .setUserId("c1")
-      .build()
-    val plan = proto.Plan
-      .newBuilder()
-      .setRoot(connect.sql("select insta_kill(id) from range(10)"))
-      .build()
-    val request = proto.ExecutePlanRequest
-      .newBuilder()
-      .setPlan(plan)
-      .setUserContext(context)
-      .setSessionId("session")
-      .build()
-
-    // The observer is executed inside this thread. So
-    // we can perform the checks inside the observer.
-    instance.executePlan(
-      request,
-      new StreamObserver[proto.ExecutePlanResponse] {
-        override def onNext(v: proto.ExecutePlanResponse): Unit = {
-          fail("this should not receive responses")
-        }
+  }
 
-        override def onError(throwable: Throwable): Unit = {
-          assert(throwable.isInstanceOf[StatusRuntimeException])
-        }
+  test("SPARK-43923: canceled request send events") {
+    withEvents { verifyEvents =>
+      val instance = new SparkConnectService(false)
+
+      // Add an always crashing UDF
+      val session = SparkConnectService.getOrCreateIsolatedSession("c1", "session").session
+      val sleep: Long => Long = { time =>
+        Thread.sleep(time)
+        time
+      }
+      session.udf.register("sleep", sleep)
 
-        override def onCompleted(): Unit = {
-          fail("this should not complete")
+      val connect = new MockRemoteSession()
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+      val plan = proto.Plan
+        .newBuilder()
+        .setRoot(connect.sql("select sleep(10000)"))
+        .build()
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setUserContext(context)
+        .setSessionId("session")
+        .build()
+
+      val thread = new Thread {
+        override def run: Unit = {
+          verifyEvents.listener.semaphoreStarted.acquire()
+          instance.interrupt(
+            proto.InterruptRequest
+              .newBuilder()
+              .setSessionId("session")
+              .setUserContext(context)
+              .setInterruptType(proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_ALL)
+              .build(),
+            new StreamObserver[proto.InterruptResponse] {
+              override def onNext(v: proto.InterruptResponse): Unit = {}
+
+              override def onError(throwable: Throwable): Unit = {}
+
+              override def onCompleted(): Unit = {}
+            })
         }
-      })
+      }
+      thread.start()
+      // The observer is executed inside this thread. So
+      // we can perform the checks inside the observer.
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            logInfo(s"$v")
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            verifyEvents.onCanceled
+          }
+
+          override def onCompleted(): Unit = {
+            fail("this should not complete")
+          }
+        })
+      thread.join()
+      verifyEvents.onCompleted()
+    }
+  }
+
+  test("SPARK-41165: failures in the arrow collect path should not cause hangs") {
+    withEvents { verifyEvents =>
+      val instance = new SparkConnectService(false)
+
+      // Add an always crashing UDF
+      val session = SparkConnectService.getOrCreateIsolatedSession("c1", "session").session
+      val instaKill: Long => Long = { _ =>
+        throw new Exception("Kaboom")
+      }
+      session.udf.register("insta_kill", instaKill)
+
+      val connect = new MockRemoteSession()
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+      val plan = proto.Plan
+        .newBuilder()
+        .setRoot(connect.sql("select insta_kill(id) from range(10)"))
+        .build()
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setUserContext(context)
+        .setSessionId("session")
+        .build()
+
+      // The observer is executed inside this thread. So
+      // we can perform the checks inside the observer.
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            fail("this should not receive responses")
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            assert(throwable.isInstanceOf[StatusRuntimeException])
+            verifyEvents.onError(throwable)
+          }
+
+          override def onCompleted(): Unit = {
+            fail("this should not complete")
+          }
+        })
+      verifyEvents.onCompleted()
+    }
   }
 
   test("Test explain mode in analyze response") {
@@ -378,4 +636,108 @@ class SparkConnectServiceSuite extends SharedSparkSession {
       assert(valuesList.last.hasLong && valuesList.last.getLong == 99)
     }
   }
+
+  protected def withCommandTest(f: VerifyEvents => Unit): Unit = {
+    withView("testview") {
+      withTable("testcat.testtable") {
+        withSparkConf(
+          "spark.sql.catalog.testcat" -> classOf[InMemoryPartitionTableCatalog].getName,
+          Connect.CONNECT_EXTENSIONS_COMMAND_CLASSES.key ->
+            "org.apache.spark.sql.connect.plugin.ExampleCommandPlugin") {
+          withEvents { verifyEvents =>
+            val restartedQuery = mock[StreamingQuery]
+            when(restartedQuery.id).thenReturn(DEFAULT_UUID)
+            when(restartedQuery.runId).thenReturn(DEFAULT_UUID)
+            SparkConnectService.streamingSessionManager.registerNewStreamingQuery(
+              SparkConnectService.getOrCreateIsolatedSession("c1", "s1"),
+              restartedQuery)
+            f(verifyEvents)
+          }
+        }
+      }
+    }
+  }
+
+  protected def withSparkConf(pairs: (String, String)*)(f: => Unit): Unit = {
+    val conf = SparkEnv.get.conf
+    pairs.foreach { kv => conf.set(kv._1, kv._2) }
+    try f
+    finally {
+      pairs.foreach { kv => conf.remove(kv._1) }
+    }
+  }
+
+  protected def withEvents(f: VerifyEvents => Unit): Unit = {
+    val verifyEvents = new VerifyEvents(spark.sparkContext)
+    spark.sparkContext.addSparkListener(verifyEvents.listener)
+    Utils.tryWithSafeFinally({
+      f(verifyEvents)
+      SparkConnectService.invalidateAllSessions()
+      verifyEvents.onSessionClosed()
+    }) {
+      verifyEvents.waitUntilEmpty()
+      spark.sparkContext.removeSparkListener(verifyEvents.listener)
+      SparkConnectService.invalidateAllSessions()
+      SparkConnectPluginRegistry.reset()
+    }
+  }
+
+  protected def gridTest[A](testNamePrefix: String, testTags: Tag*)(params: Seq[A])(
+      testFun: A => Unit): Unit = {
+    for (param <- params) {
+      test(testNamePrefix + s" ($param)", testTags: _*)(testFun(param))
+    }
+  }
+
+  class VerifyEvents(val sparkContext: SparkContext) {
+    val listener: MockSparkListener = new MockSparkListener()
+    val listenerBus = sparkContext.listenerBus
+    val LISTENER_BUS_TIMEOUT = 30000
+    def executeHolder: ExecuteHolder = {
+      assert(listener.executeHolder.isDefined)
+      listener.executeHolder.get
+    }
+    def onNext(v: proto.ExecutePlanResponse): Unit = {
+      if (v.hasSchema) {
+        assert(executeHolder.eventsManager.status == ExecuteStatus.Analyzed)
+      }
+      if (v.hasMetrics) {
+        assert(executeHolder.eventsManager.status == ExecuteStatus.Finished)
+      }
+    }
+    def onError(throwable: Throwable): Unit = {
+      assert(executeHolder.eventsManager.hasCanceled.isEmpty)
+      assert(executeHolder.eventsManager.hasError.isDefined)
+    }
+    def onCompleted(): Unit = {
+      assert(executeHolder.eventsManager.status == ExecuteStatus.Closed)
+    }
+    def onCanceled(): Unit = {
+      assert(executeHolder.eventsManager.hasCanceled.contains(true))
+      assert(executeHolder.eventsManager.hasError.isEmpty)
+    }
+    def onSessionClosed(): Unit = {
+      assert(executeHolder.sessionHolder.eventManager.status == SessionStatus.Closed)
+    }
+    def onSessionStarted(): Unit = {
+      assert(executeHolder.sessionHolder.eventManager.status == SessionStatus.Started)
+    }
+    def waitUntilEmpty(): Unit = {
+      listenerBus.waitUntilEmpty(LISTENER_BUS_TIMEOUT)
+    }
+  }
+  class MockSparkListener() extends SparkListener {
+    val semaphoreStarted = new Semaphore(0)
+    var executeHolder = Option.empty[ExecuteHolder]
+    override def onOtherEvent(event: SparkListenerEvent): Unit = {
+      event match {
+        case e: SparkListenerConnectOperationStarted =>
+          semaphoreStarted.release()
+          val sessionHolder =
+            SparkConnectService.getOrCreateIsolatedSession(e.userId, e.sessionId)
+          executeHolder = sessionHolder.executeHolder(e.operationId)
+        case _ =>
+      }
+    }
+  }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/plugin/SparkConnectPluginRegistrySuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/plugin/SparkConnectPluginRegistrySuite.scala
index 2bdabc7ccc214..fdb9032379419 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/plugin/SparkConnectPluginRegistrySuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/plugin/SparkConnectPluginRegistrySuite.scala
@@ -28,7 +28,6 @@ import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.config.Connect
 import org.apache.spark.sql.connect.planner.{SparkConnectPlanner, SparkConnectPlanTest}
-import org.apache.spark.sql.connect.service.SessionHolder
 import org.apache.spark.sql.test.SharedSparkSession
 
 class DummyPlugin extends RelationPlugin {
@@ -196,8 +195,9 @@ class SparkConnectPluginRegistrySuite extends SharedSparkSession with SparkConne
               .build()))
         .build()
 
-      new SparkConnectPlanner(SessionHolder.forTesting(spark))
-        .process(plan, "clientId", "sessionId", new MockObserver())
+      val executeHolder = buildExecutePlanHolder(plan)
+      new SparkConnectPlanner(executeHolder.sessionHolder)
+        .process(plan, new MockObserver(), executeHolder)
       assert(spark.sparkContext.getLocalProperty("testingProperty").equals("Martin"))
     }
   }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
new file mode 100644
index 0000000000000..365b17632a742
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
@@ -0,0 +1,318 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import scala.util.matching.Regex
+
+import org.mockito.Mockito._
+import org.scalatestplus.mockito.MockitoSugar
+
+import org.apache.spark.{SparkContext, SparkFunSuite}
+import org.apache.spark.connect.proto
+import org.apache.spark.connect.proto.{ExecutePlanRequest, Plan, UserContext}
+import org.apache.spark.scheduler.LiveListenerBus
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.connect.planner.SparkConnectPlanTest
+import org.apache.spark.sql.internal.{SessionState, SQLConf}
+import org.apache.spark.util.ManualClock
+
+class ExecuteEventsManagerSuite
+    extends SparkFunSuite
+    with MockitoSugar
+    with SparkConnectPlanTest {
+
+  val DEFAULT_ERROR = "error"
+  val DEFAULT_CLOCK = new ManualClock()
+  val DEFAULT_NODE_NAME = "nodeName"
+  val DEFAULT_TEXT = """limit {
+  limit: 10
+}
+"""
+  val DEFAULT_USER_ID = "1"
+  val DEFAULT_USER_NAME = "userName"
+  val DEFAULT_SESSION_ID = "2"
+  val DEFAULT_QUERY_ID = "3"
+  val DEFAULT_CLIENT_TYPE = "clientType"
+
+  test("SPARK-43923: post started") {
+    val events = setupEvents(ExecuteStatus.Pending)
+    events.postStarted()
+
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(SparkListenerConnectOperationStarted(
+        events.executeHolder.jobTag,
+        DEFAULT_QUERY_ID,
+        DEFAULT_CLOCK.getTimeMillis(),
+        DEFAULT_SESSION_ID,
+        DEFAULT_USER_ID,
+        DEFAULT_USER_NAME,
+        DEFAULT_TEXT,
+        Some(events.executeHolder.request),
+        Map.empty))
+  }
+
+  test("SPARK-43923: post analyzed with plan") {
+    val events = setupEvents(ExecuteStatus.Started)
+
+    val mockPlan = mock[LogicalPlan]
+    events.postAnalyzed(Some(mockPlan))
+    val event = SparkListenerConnectOperationAnalyzed(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis())
+    event.analyzedPlan = Some(mockPlan)
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(event)
+  }
+
+  test("SPARK-43923: post analyzed with empty plan") {
+    val events = setupEvents(ExecuteStatus.Started)
+    events.postAnalyzed()
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationAnalyzed(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis()))
+  }
+
+  test("SPARK-43923: post readyForExecution") {
+    val events = setupEvents(ExecuteStatus.Analyzed)
+    events.postReadyForExecution()
+    val event = SparkListenerConnectOperationReadyForExecution(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis())
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(event)
+  }
+
+  test("SPARK-43923: post canceled") {
+    val events = setupEvents(ExecuteStatus.Started)
+    events.postCanceled()
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationCanceled(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis()))
+  }
+
+  test("SPARK-43923: post failed") {
+    val events = setupEvents(ExecuteStatus.Started)
+    events.postFailed(DEFAULT_ERROR)
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationFailed(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis(),
+          DEFAULT_ERROR,
+          Map.empty[String, String]))
+  }
+
+  test("SPARK-43923: post finished") {
+    val events = setupEvents(ExecuteStatus.Started)
+    events.postFinished()
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationFinished(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis()))
+  }
+
+  test("SPARK-43923: post closed") {
+    val events = setupEvents(ExecuteStatus.Finished)
+    events.postClosed()
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationClosed(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis()))
+  }
+
+  test("SPARK-43923: Closed wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Closed)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postAnalyzed()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+    assertThrows[IllegalStateException] {
+      events.postCanceled()
+    }
+    assertThrows[IllegalStateException] {
+      events.postClosed()
+    }
+  }
+
+  test("SPARK-43923: Finished wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Finished)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postAnalyzed()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+  }
+
+  test("SPARK-43923: Failed wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Finished)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postAnalyzed()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+  }
+
+  test("SPARK-43923: Canceled wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Canceled)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postAnalyzed()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postCanceled()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFailed(DEFAULT_ERROR)
+    }
+  }
+
+  test("SPARK-43923: ReadyForExecution wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.ReadyForExecution)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postAnalyzed()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postClosed()
+    }
+  }
+
+  test("SPARK-43923: Analyzed wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Analyzed)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postFinished()
+    }
+    assertThrows[IllegalStateException] {
+      events.postClosed()
+    }
+  }
+
+  test("SPARK-43923: Started wrong order throws exception") {
+    val events = setupEvents(ExecuteStatus.Started)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postReadyForExecution()
+    }
+    assertThrows[IllegalStateException] {
+      events.postClosed()
+    }
+  }
+
+  test("SPARK-43923: Started wrong session status") {
+    val events = setupEvents(ExecuteStatus.Started, SessionStatus.Pending)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+  }
+
+  def setupEvents(
+      executeStatus: ExecuteStatus,
+      sessionStatus: SessionStatus = SessionStatus.Started): ExecuteEventsManager = {
+    val mockSession = mock[SparkSession]
+    val sessionHolder = SessionHolder(DEFAULT_USER_ID, DEFAULT_SESSION_ID, mockSession)
+    sessionHolder.eventManager.status_(sessionStatus)
+    val mockContext = mock[SparkContext]
+    val mockListenerBus = mock[LiveListenerBus]
+    val mockSessionState = mock[SessionState]
+    val mockConf = mock[SQLConf]
+    when(mockSession.sessionState).thenReturn(mockSessionState)
+    when(mockSessionState.conf).thenReturn(mockConf)
+    when(mockConf.stringRedactionPattern).thenReturn(Option.empty[Regex])
+    when(mockContext.listenerBus).thenReturn(mockListenerBus)
+    when(mockSession.sparkContext).thenReturn(mockContext)
+
+    val relation = proto.Relation.newBuilder
+      .setLimit(proto.Limit.newBuilder.setLimit(10))
+      .build()
+
+    val executePlanRequest = ExecutePlanRequest
+      .newBuilder()
+      .setPlan(Plan.newBuilder().setRoot(relation))
+      .setUserContext(
+        UserContext
+          .newBuilder()
+          .setUserId(DEFAULT_USER_ID)
+          .setUserName(DEFAULT_USER_NAME))
+      .setSessionId(DEFAULT_SESSION_ID)
+      .setClientType(DEFAULT_CLIENT_TYPE)
+      .build()
+
+    val executeHolder = new ExecuteHolder(executePlanRequest, DEFAULT_QUERY_ID, sessionHolder)
+
+    val eventsManager = ExecuteEventsManager(executeHolder, DEFAULT_CLOCK)
+    eventsManager.status_(executeStatus)
+    eventsManager
+  }
+}
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SessionEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SessionEventsManagerSuite.scala
new file mode 100644
index 0000000000000..7025146b0295b
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SessionEventsManagerSuite.scala
@@ -0,0 +1,102 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import org.mockito.Mockito._
+import org.scalatestplus.mockito.MockitoSugar
+
+import org.apache.spark.{SparkContext, SparkFunSuite}
+import org.apache.spark.scheduler.LiveListenerBus
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.connect.planner.SparkConnectPlanTest
+import org.apache.spark.util.ManualClock
+
+class SessionEventsManagerSuite
+    extends SparkFunSuite
+    with MockitoSugar
+    with SparkConnectPlanTest {
+
+  val DEFAULT_ERROR = "error"
+  val DEFAULT_CLOCK = new ManualClock()
+  val DEFAULT_NODE_NAME = "nodeName"
+  val DEFAULT_TEXT = """limit {
+  limit: 10
+}
+"""
+  val DEFAULT_USER_ID = "1"
+  val DEFAULT_USER_NAME = "userName"
+  val DEFAULT_SESSION_ID = "2"
+  val DEFAULT_QUERY_ID = "3"
+  val DEFAULT_CLIENT_TYPE = "clientType"
+
+  test("SPARK-43923: post started") {
+    val events = setupEvents(SessionStatus.Pending)
+    events.postStarted()
+
+    verify(events.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectSessionStarted(
+          DEFAULT_SESSION_ID,
+          DEFAULT_USER_ID,
+          DEFAULT_CLOCK.getTimeMillis(),
+          Map.empty))
+  }
+
+  test("SPARK-43923: post closed") {
+    val events = setupEvents(SessionStatus.Started)
+    events.postClosed()
+
+    verify(events.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectSessionClosed(
+          DEFAULT_SESSION_ID,
+          DEFAULT_USER_ID,
+          DEFAULT_CLOCK.getTimeMillis(),
+          Map.empty))
+  }
+
+  test("SPARK-43923: Started wrong order throws exception") {
+    val events = setupEvents(SessionStatus.Started)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+  }
+
+  test("SPARK-43923: Closed wrong order throws exception") {
+    val events = setupEvents(SessionStatus.Closed)
+    assertThrows[IllegalStateException] {
+      events.postStarted()
+    }
+    assertThrows[IllegalStateException] {
+      events.postClosed()
+    }
+  }
+
+  def setupEvents(status: SessionStatus): SessionEventsManager = {
+    val mockSession = mock[SparkSession]
+    val sessionHolder = SessionHolder(DEFAULT_USER_ID, DEFAULT_SESSION_ID, mockSession)
+    val mockContext = mock[SparkContext]
+    val mockListenerBus = mock[LiveListenerBus]
+    when(mockContext.listenerBus).thenReturn(mockListenerBus)
+    when(mockSession.sparkContext).thenReturn(mockContext)
+
+    val eventsManager = SessionEventsManager(sessionHolder, DEFAULT_CLOCK)
+    eventsManager.status_(status)
+    eventsManager
+  }
+}

From c96b9710f50ed045d8e949db6c0e251bbd57b201 Mon Sep 17 00:00:00 2001
From: Richard Yu <richard.yu@databricks.com>
Date: Tue, 18 Jul 2023 08:57:55 +0800
Subject: [PATCH 004/986] [SPARK-44059] Add analyzer support of named arguments
 for built-in functions

### What changes were proposed in this pull request?
Add analyzer support for named function arguments.

### Why are the changes needed?
Part of the project needed for general named function argument support.

### Does this PR introduce _any_ user-facing change?
We added support for named arguments for the ```CountMinSketchAgg``` and ```Mask``` SQL functions.

### How was this patch tested?
A new suite was added for this test called NamedArgumentFunctionSuite.

Closes #42020 from learningchess2003/44059-final.

Authored-by: Richard Yu <richard.yu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 228b5dbfd7688a8efa7135d9ec7b00b71e41a38a)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../utils/src/main/resources/error/README.md  |   1 +
 .../main/resources/error/error-classes.json   |  44 ++-
 ...outine-parameter-assignment-error-class.md |  36 ++
 docs/sql-error-conditions.md                  |  34 +-
 .../catalyst/analysis/FunctionRegistry.scala  | 113 +++++-
 .../aggregate/CountMinSketchAgg.scala         |  49 ++-
 .../sql/catalyst/expressions/generators.scala |  79 +++-
 .../expressions/maskExpressions.scala         |  31 +-
 .../plans/logical/FunctionBuilderBase.scala   | 177 +++++++++
 .../sql/errors/QueryCompilationErrors.scala   |  76 +++-
 .../NamedParameterFunctionSuite.scala         | 151 ++++++++
 .../named-function-arguments.sql.out          | 337 +++++++++++++++---
 .../inputs/named-function-arguments.sql       |  55 +++
 .../results/named-function-arguments.sql.out  | 324 ++++++++++++++---
 .../sql/errors/QueryParsingErrorsSuite.scala  |   9 +-
 15 files changed, 1386 insertions(+), 130 deletions(-)
 create mode 100644 docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
 create mode 100644 sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
 create mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala

diff --git a/common/utils/src/main/resources/error/README.md b/common/utils/src/main/resources/error/README.md
index dfcb42d49e79a..aed2c0becd311 100644
--- a/common/utils/src/main/resources/error/README.md
+++ b/common/utils/src/main/resources/error/README.md
@@ -666,6 +666,7 @@ The following SQLSTATEs are collated from:
 |4274C    |42   |Syntax Error or Access Rule Violation             |74C     |The specified attribute was not found in the trusted context.|DB2            |N       |DB2                                                                         |
 |4274D    |42   |Syntax Error or Access Rule Violation             |74D     |The specified attribute already exists in the trusted context.|DB2            |N       |DB2                                                                         |
 |4274E    |42   |Syntax Error or Access Rule Violation             |74E     |The specified attribute is not supported in the trusted context.|DB2            |N       |DB2                                                                         |
+|4274K    |42   |Syntax Error or Access Rule Violation             |74K     |Invalid use of a named argument when invoking a routine.|DB2            |N       |DB2                                                                         |
 |4274M    |42   |Syntax Error or Access Rule Violation             |74M     |An undefined period name was detected.                      |DB2            |N       |DB2                                                                         |
 |42801    |42   |Syntax Error or Access Rule Violation             |801     |Isolation level UR is invalid, because the result table is not read-only.|DB2            |N       |DB2                                                                         |
 |42802    |42   |Syntax Error or Access Rule Violation             |802     |The number of target values is not the same as the number of source values.|DB2            |N       |DB2                                                                         |
diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index e8cdaa6c63b3f..b136878e6d2c0 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -738,6 +738,24 @@
     ],
     "sqlState" : "23505"
   },
+  "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT" : {
+    "message" : [
+      "Call to function <functionName> is invalid because it includes multiple argument assignments to the same parameter name <parameterName>."
+    ],
+    "subClass" : {
+      "BOTH_POSITIONAL_AND_NAMED" : {
+        "message" : [
+          "A positional argument and named argument both referred to the same parameter."
+        ]
+      },
+      "DOUBLE_NAMED_ARGUMENT_REFERENCE" : {
+        "message" : [
+          "More than one named argument referred to the same parameter."
+        ]
+      }
+    },
+    "sqlState" : "4274K"
+  },
   "EMPTY_JSON_FIELD_VALUE" : {
     "message" : [
       "Failed to parse an empty string for data type <dataType>."
@@ -1956,7 +1974,13 @@
       "Not allowed to implement multiple UDF interfaces, UDF class <className>."
     ]
   },
-  "NAMED_ARGUMENTS_SUPPORT_DISABLED" : {
+  "NAMED_PARAMETERS_NOT_SUPPORTED" : {
+    "message" : [
+      "Named parameters are not supported for function <functionName>; please retry the query with positional arguments to the function call instead."
+    ],
+    "sqlState" : "4274K"
+  },
+  "NAMED_PARAMETER_SUPPORT_DISABLED" : {
     "message" : [
       "Cannot call function <functionName> because named argument references are not enabled here. In this case, the named argument reference was <argument>. Set \"spark.sql.allowNamedFunctionArguments\" to \"true\" to turn on feature."
     ]
@@ -2295,6 +2319,12 @@
     ],
     "sqlState" : "42614"
   },
+  "REQUIRED_PARAMETER_NOT_FOUND" : {
+    "message" : [
+      "Cannot invoke function <functionName> because the parameter named <parameterName> is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally or by name) and retry the query again."
+    ],
+    "sqlState" : "4274K"
+  },
   "REQUIRES_SINGLE_PART_NAMESPACE" : {
     "message" : [
       "<sessionCatalog> requires a single-part namespace, but got <namespace>."
@@ -2485,6 +2515,12 @@
     ],
     "sqlState" : "42K09"
   },
+  "UNEXPECTED_POSITIONAL_ARGUMENT" : {
+    "message" : [
+      "Cannot invoke function <functionName> because it contains positional argument(s) following named argument(s); please rearrange them so the positional arguments come first and then retry the query again."
+    ],
+    "sqlState" : "4274K"
+  },
   "UNKNOWN_PROTOBUF_MESSAGE_TYPE" : {
     "message" : [
       "Attempting to treat <descriptorName> as a Message, but it was <containingType>."
@@ -2514,6 +2550,12 @@
     ],
     "sqlState" : "428C4"
   },
+  "UNRECOGNIZED_PARAMETER_NAME" : {
+    "message" : [
+      "Cannot invoke function <functionName> because the function call included a named argument reference for the argument named <argumentName>, but this function does not include any signature containing an argument with this name. Did you mean one of the following? [<proposal>]."
+    ],
+    "sqlState" : "4274K"
+  },
   "UNRECOGNIZED_SQL_TYPE" : {
     "message" : [
       "Unrecognized SQL type - name: <typeName>, id: <jdbcType>."
diff --git a/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md b/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
new file mode 100644
index 0000000000000..d9f14b5a55ef8
--- /dev/null
+++ b/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
@@ -0,0 +1,36 @@
+---
+layout: global
+title: DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT error class
+displayTitle: DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT error class
+license: |
+  Licensed to the Apache Software Foundation (ASF) under one or more
+  contributor license agreements.  See the NOTICE file distributed with
+  this work for additional information regarding copyright ownership.
+  The ASF licenses this file to You under the Apache License, Version 2.0
+  (the "License"); you may not use this file except in compliance with
+  the License.  You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+---
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Call to function `<functionName>` is invalid because it includes multiple argument assignments to the same parameter name `<parameterName>`.
+
+This error class has the following derived error classes:
+
+## BOTH_POSITIONAL_AND_NAMED
+
+A positional argument and named argument both referred to the same parameter.
+
+## DOUBLE_NAMED_ARGUMENT_REFERENCE
+
+More than one named argument referred to the same parameter.
+
+
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 91b77a6452bc5..5686324a0558b 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -456,6 +456,14 @@ Found duplicate clauses: `<clauseName>`. Please, remove one of them.
 
 Found duplicate keys `<keyColumn>`.
 
+### [DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT](sql-error-conditions-duplicate-routine-parameter-assignment-error-class.html)
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Call to function `<functionName>` is invalid because it includes multiple argument assignments to the same parameter name `<parameterName>`.
+
+For more details see [DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT](sql-error-conditions-duplicate-routine-parameter-assignment-error-class.html)
+
 ### EMPTY_JSON_FIELD_VALUE
 
 [SQLSTATE: 42604](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
@@ -1210,7 +1218,13 @@ SQLSTATE: none assigned
 
 Not allowed to implement multiple UDF interfaces, UDF class `<className>`.
 
-### NAMED_ARGUMENTS_SUPPORT_DISABLED
+### NAMED_PARAMETERS_NOT_SUPPORTED
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Named parameters are not supported for function `<functionName>`; please retry the query with positional arguments to the function call instead.
+
+### NAMED_PARAMETER_SUPPORT_DISABLED
 
 SQLSTATE: none assigned
 
@@ -1521,6 +1535,12 @@ Failed to rename as `<sourcePath>` was not found.
 
 The `<clause>` clause may be used at most once per `<operation>` operation.
 
+### REQUIRED_PARAMETER_NOT_FOUND
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Cannot invoke function `<functionName>` because the parameter named `<parameterName>` is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally or by name) and retry the query again.
+
 ### REQUIRES_SINGLE_PART_NAMESPACE
 
 [SQLSTATE: 42K05](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
@@ -1724,6 +1744,12 @@ Found an unclosed bracketed comment. Please, append */ at the end of the comment
 
 Parameter `<paramIndex>` of function `<functionName>` requires the `<requiredType>` type, however `<inputSql>` has the type `<inputType>`.
 
+### UNEXPECTED_POSITIONAL_ARGUMENT
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Cannot invoke function `<functionName>` because it contains positional argument(s) following named argument(s); please rearrange them so the positional arguments come first and then retry the query again.
+
 ### UNKNOWN_PROTOBUF_MESSAGE_TYPE
 
 SQLSTATE: none assigned
@@ -1754,6 +1780,12 @@ Unpivot value columns must share a least common type, some types do not: [`<type
 
 All unpivot value columns must have the same size as there are value column names (`<names>`).
 
+### UNRECOGNIZED_PARAMETER_NAME
+
+[SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Cannot invoke function `<functionName>` because the function call included a named argument reference for the argument named `<argumentName>`, but this function does not include any signature containing an argument with this name. Did you mean one of the following? [`<proposal>`].
+
 ### UNRECOGNIZED_SQL_TYPE
 
 [SQLSTATE: 42704](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
index a9bda2e0b7c99..558579cdb80ac 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
@@ -29,7 +29,7 @@ import org.apache.spark.sql.catalyst.FunctionIdentifier
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.expressions.xml._
-import org.apache.spark.sql.catalyst.plans.logical.{Generate, LogicalPlan, OneRowRelation, Range}
+import org.apache.spark.sql.catalyst.plans.logical.{FunctionBuilderBase, Generate, LogicalPlan, OneRowRelation, Range}
 import org.apache.spark.sql.catalyst.trees.TreeNodeTag
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.types._
@@ -358,8 +358,8 @@ object FunctionRegistry {
     // misc non-aggregate functions
     expression[Abs]("abs"),
     expression[Coalesce]("coalesce"),
-    expression[Explode]("explode"),
-    expressionGeneratorOuter[Explode]("explode_outer"),
+    expressionBuilder("explode", ExplodeExpressionBuilder),
+    expressionGeneratorBuilderOuter("explode_outer", ExplodeExpressionBuilder),
     expression[Greatest]("greatest"),
     expression[If]("if"),
     expression[Inline]("inline"),
@@ -491,7 +491,7 @@ object FunctionRegistry {
     expression[CollectList]("collect_list"),
     expression[CollectList]("array_agg", true, Some("3.3.0")),
     expression[CollectSet]("collect_set"),
-    expression[CountMinSketchAgg]("count_min_sketch"),
+    expressionBuilder("count_min_sketch", CountMinSketchAggExpressionBuilder),
     expression[BoolAnd]("every", true),
     expression[BoolAnd]("bool_and"),
     expression[BoolOr]("any", true),
@@ -823,7 +823,7 @@ object FunctionRegistry {
     castAlias("string", StringType),
 
     // mask functions
-    expression[Mask]("mask"),
+    expressionBuilder("mask", MaskExpressionBuilder),
 
     // csv
     expression[CsvToStructs]("from_csv"),
@@ -887,6 +887,9 @@ object FunctionRegistry {
       since: Option[String] = None): (String, (ExpressionInfo, FunctionBuilder)) = {
     val (expressionInfo, builder) = FunctionRegistryBase.build[T](name, since)
     val newBuilder = (expressions: Seq[Expression]) => {
+      if (expressions.exists(_.isInstanceOf[NamedArgumentExpression])) {
+        throw QueryCompilationErrors.namedArgumentsNotSupported(name)
+      }
       val expr = builder(expressions)
       if (setAlias) expr.setTagValue(FUNC_ALIAS, name)
       expr
@@ -894,6 +897,32 @@ object FunctionRegistry {
     (name, (expressionInfo, newBuilder))
   }
 
+  /**
+   * This method will be used to rearrange the arguments provided in function invocation
+   * in the order defined by the function signature given in the builder instance.
+   *
+   * @param name The name of the function
+   * @param builder The builder of the function expression
+   * @param expressions The argument list passed in function invocation
+   * @tparam T The class of the builder
+   * @return An argument list in positional order defined by the builder
+   */
+  def rearrangeExpressions[T <: FunctionBuilderBase[_]](
+      name: String,
+      builder: T,
+      expressions: Seq[Expression]) : Seq[Expression] = {
+    val rearrangedExpressions = if (!builder.functionSignature.isEmpty) {
+      val functionSignature = builder.functionSignature.get
+      builder.rearrange(functionSignature, expressions, name)
+    } else {
+      expressions
+    }
+    if (rearrangedExpressions.exists(_.isInstanceOf[NamedArgumentExpression])) {
+      throw QueryCompilationErrors.namedArgumentsNotSupported(name)
+    }
+    rearrangedExpressions
+  }
+
   private def expressionBuilder[T <: ExpressionBuilder : ClassTag](
       name: String,
       builder: T,
@@ -902,7 +931,8 @@ object FunctionRegistry {
     val info = FunctionRegistryBase.expressionInfo[T](name, since)
     val funcBuilder = (expressions: Seq[Expression]) => {
       assert(expressions.forall(_.resolved), "function arguments must be resolved.")
-      val expr = builder.build(name, expressions)
+      val rearrangedExpressions = rearrangeExpressions(name, builder, expressions)
+      val expr = builder.build(name, rearrangedExpressions)
       if (setAlias) expr.setTagValue(FUNC_ALIAS, name)
       expr
     }
@@ -935,9 +965,22 @@ object FunctionRegistry {
 
   private def expressionGeneratorOuter[T <: Generator : ClassTag](name: String)
     : (String, (ExpressionInfo, FunctionBuilder)) = {
-    val (_, (info, generatorBuilder)) = expression[T](name)
+    val (_, (info, builder)) = expression[T](name)
     val outerBuilder = (args: Seq[Expression]) => {
-      GeneratorOuter(generatorBuilder(args).asInstanceOf[Generator])
+      GeneratorOuter(builder(args).asInstanceOf[Generator])
+    }
+    (name, (info, outerBuilder))
+  }
+
+  private def expressionGeneratorBuilderOuter[T <: ExpressionBuilder : ClassTag]
+    (name: String, builder: T) : (String, (ExpressionInfo, FunctionBuilder)) = {
+    val info = FunctionRegistryBase.expressionInfo[T](name, since = None)
+    val outerBuilder = (args: Seq[Expression]) => {
+      val rearrangedArgs =
+        FunctionRegistry.rearrangeExpressions(name, builder, args)
+      val generator = builder.build(name, rearrangedArgs)
+      assert(generator.isInstanceOf[Generator])
+      GeneratorOuter(generator.asInstanceOf[Generator])
     }
     (name, (info, outerBuilder))
   }
@@ -980,6 +1023,30 @@ object TableFunctionRegistry {
     (name, (info, (expressions: Seq[Expression]) => builder(expressions)))
   }
 
+  /**
+   * A function used for table-valued functions to return a builder that
+   * when given input arguments, will return a function expression representing
+   * the table-valued functions.
+   *
+   * @param name Name of the function
+   * @param builder Object which will build the expression given input arguments
+   * @param since Time of implementation
+   * @tparam T Type of the builder
+   * @return A tuple of the function name, expression info, and function builder
+   */
+  def generatorBuilder[T <: GeneratorBuilder : ClassTag](
+      name: String,
+      builder: T,
+      since: Option[String] = None): (String, (ExpressionInfo, TableFunctionBuilder)) = {
+    val info = FunctionRegistryBase.expressionInfo[T](name, since)
+    val funcBuilder = (expressions: Seq[Expression]) => {
+      assert(expressions.forall(_.resolved), "function arguments must be resolved.")
+      val rearrangedExpressions = FunctionRegistry.rearrangeExpressions(name, builder, expressions)
+      builder.build(name, rearrangedExpressions)
+    }
+    (name, (info, funcBuilder))
+  }
+
   def generator[T <: Generator : ClassTag](name: String, outer: Boolean = false)
       : (String, (ExpressionInfo, TableFunctionBuilder)) = {
     val (info, builder) = FunctionRegistryBase.build[T](name, since = None)
@@ -999,8 +1066,8 @@ object TableFunctionRegistry {
 
   val logicalPlans: Map[String, (ExpressionInfo, TableFunctionBuilder)] = Map(
     logicalPlan[Range]("range"),
-    generator[Explode]("explode"),
-    generator[Explode]("explode_outer", outer = true),
+    generatorBuilder("explode", ExplodeGeneratorBuilder),
+    generatorBuilder("explode_outer", ExplodeOuterGeneratorBuilder),
     generator[Inline]("inline"),
     generator[Inline]("inline_outer", outer = true),
     generator[JsonTuple]("json_tuple"),
@@ -1022,6 +1089,28 @@ object TableFunctionRegistry {
   val functionSet: Set[FunctionIdentifier] = builtin.listFunction().toSet
 }
 
-trait ExpressionBuilder {
-  def build(funcName: String, expressions: Seq[Expression]): Expression
+/**
+ * This is a trait used for scalar valued functions that defines how their expression
+ * representations are constructed in [[FunctionRegistry]].
+ */
+trait ExpressionBuilder extends FunctionBuilderBase[Expression]
+
+/**
+ * This is a trait used for table valued functions that defines how their expression
+ * representations are constructed in [[TableFunctionRegistry]].
+ */
+trait GeneratorBuilder extends FunctionBuilderBase[LogicalPlan] {
+  override final def build(funcName: String, expressions: Seq[Expression]) : LogicalPlan = {
+    Generate(
+      buildGenerator(funcName, expressions),
+      unrequiredChildIndex = Nil,
+      outer = isOuter,
+      qualifier = None,
+      generatorOutput = Nil,
+      child = OneRowRelation())
+  }
+
+  def isOuter: Boolean
+
+  def buildGenerator(funcName: String, expressions: Seq[Expression]) : Generator
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountMinSketchAgg.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountMinSketchAgg.scala
index 6cefca418cea0..b7988922bd79b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountMinSketchAgg.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountMinSketchAgg.scala
@@ -18,9 +18,10 @@
 package org.apache.spark.sql.catalyst.expressions.aggregate
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{ExpressionBuilder, TypeCheckResult}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.{DataTypeMismatch, TypeCheckSuccess}
 import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, ExpressionDescription, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.{FunctionSignature, InputParameter}
 import org.apache.spark.sql.catalyst.trees.QuaternaryLike
 import org.apache.spark.sql.errors.QueryErrorsBase
 import org.apache.spark.sql.types._
@@ -39,22 +40,6 @@ import org.apache.spark.util.sketch.CountMinSketch
  * @param confidenceExpression confidence, must be positive and less than 1.0
  * @param seedExpression random seed
  */
-// scalastyle:off line.size.limit
-@ExpressionDescription(
-  usage = """
-    _FUNC_(col, eps, confidence, seed) - Returns a count-min sketch of a column with the given esp,
-      confidence and seed. The result is an array of bytes, which can be deserialized to a
-      `CountMinSketch` before usage. Count-min sketch is a probabilistic data structure used for
-      cardinality estimation using sub-linear space.
-  """,
-  examples = """
-    Examples:
-      > SELECT hex(_FUNC_(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col);
-       0000000100000000000000030000000100000004000000005D8D6AB90000000000000000000000000000000200000000000000010000000000000000
-  """,
-  group = "agg_funcs",
-  since = "2.2.0")
-// scalastyle:on line.size.limit
 case class CountMinSketchAgg(
     child: Expression,
     epsExpression: Expression,
@@ -208,3 +193,33 @@ case class CountMinSketchAgg(
       confidenceExpression = third,
       seedExpression = fourth)
 }
+
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+  usage = """
+    _FUNC_(col, eps, confidence, seed) - Returns a count-min sketch of a column with the given esp,
+      confidence and seed. The result is an array of bytes, which can be deserialized to a
+      `CountMinSketch` before usage. Count-min sketch is a probabilistic data structure used for
+      cardinality estimation using sub-linear space.
+  """,
+  examples = """
+    Examples:
+      > SELECT hex(_FUNC_(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col);
+       0000000100000000000000030000000100000004000000005D8D6AB90000000000000000000000000000000200000000000000010000000000000000
+  """,
+  group = "agg_funcs",
+  since = "2.2.0")
+// scalastyle:on line.size.limit
+object CountMinSketchAggExpressionBuilder extends ExpressionBuilder {
+  final val defaultFunctionSignature = FunctionSignature(Seq(
+    InputParameter("column"),
+    InputParameter("epsilon"),
+    InputParameter("confidence"),
+    InputParameter("seed")
+  ))
+  override def functionSignature: Option[FunctionSignature] = Some(defaultFunctionSignature)
+  override def build(funcName: String, expressions: Seq[Expression]): Expression = {
+    assert(expressions.size == 4)
+    new CountMinSketchAgg(expressions(0), expressions(1), expressions(2), expressions(3))
+  }
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala
index 6ae7ea206c833..afaaf07d2726b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala
@@ -21,11 +21,12 @@ import scala.collection.mutable
 
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow}
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{ExpressionBuilder, GeneratorBuilder, TypeCheckResult}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
+import org.apache.spark.sql.catalyst.plans.logical.{FunctionSignature, InputParameter}
 import org.apache.spark.sql.catalyst.trees.TreePattern.{GENERATOR, TreePattern}
 import org.apache.spark.sql.catalyst.util.{ArrayData, MapData}
 import org.apache.spark.sql.catalyst.util.SQLKeywordUtils._
@@ -413,6 +414,21 @@ abstract class ExplodeBase extends UnaryExpression with CollectionGenerator with
  *   20
  * }}}
  */
+case class Explode(child: Expression) extends ExplodeBase {
+  override val position: Boolean = false
+  override protected def withNewChildInternal(newChild: Expression): Explode =
+    copy(child = newChild)
+}
+
+trait ExplodeGeneratorBuilderBase extends GeneratorBuilder {
+  override def functionSignature: Option[FunctionSignature] =
+    Some(FunctionSignature(Seq(InputParameter("collection"))))
+  override def buildGenerator(funcName: String, expressions: Seq[Expression]): Generator = {
+    assert(expressions.size == 1)
+    Explode(expressions(0))
+  }
+}
+
 // scalastyle:off line.size.limit
 @ExpressionDescription(
   usage = "_FUNC_(expr) - Separates the elements of array `expr` into multiple rows, or the elements of map `expr` into multiple rows and columns. Unless specified otherwise, uses the default column name `col` for elements of the array or `key` and `value` for the elements of the map.",
@@ -421,16 +437,66 @@ abstract class ExplodeBase extends UnaryExpression with CollectionGenerator with
       > SELECT _FUNC_(array(10, 20));
        10
        20
+      > SELECT _FUNC_(collection => array(10, 20));
+       10
+       20
+      > SELECT * FROM _FUNC_(collection => array(10, 20));
+       10
+       20
   """,
   since = "1.0.0",
   group = "generator_funcs")
 // scalastyle:on line.size.limit
-case class Explode(child: Expression) extends ExplodeBase {
-  override val position: Boolean = false
-  override protected def withNewChildInternal(newChild: Expression): Explode =
-    copy(child = newChild)
+object ExplodeExpressionBuilder extends ExpressionBuilder {
+  override def functionSignature: Option[FunctionSignature] =
+    Some(FunctionSignature(Seq(InputParameter("collection"))))
+
+  override def build(funcName: String, expressions: Seq[Expression]) : Expression =
+    Explode(expressions(0))
 }
 
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+  usage = "_FUNC_(expr) - Separates the elements of array `expr` into multiple rows, or the elements of map `expr` into multiple rows and columns. Unless specified otherwise, uses the default column name `col` for elements of the array or `key` and `value` for the elements of the map.",
+  examples = """
+    Examples:
+      > SELECT _FUNC_(array(10, 20));
+       10
+       20
+      > SELECT _FUNC_(collection => array(10, 20));
+       10
+       20
+      > SELECT * FROM _FUNC_(collection => array(10, 20));
+       10
+       20
+  """,
+  since = "1.0.0",
+  group = "generator_funcs")
+// scalastyle:on line.size.limit
+object ExplodeGeneratorBuilder extends ExplodeGeneratorBuilderBase {
+  override def isOuter: Boolean = false
+}
+
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+  usage = "_FUNC_(expr) - Separates the elements of array `expr` into multiple rows, or the elements of map `expr` into multiple rows and columns. Unless specified otherwise, uses the default column name `col` for elements of the array or `key` and `value` for the elements of the map.",
+  examples = """
+    Examples:
+      > SELECT _FUNC_(array(10, 20));
+       10
+       20
+      > SELECT _FUNC_(collection => array(10, 20));
+       10
+       20
+  """,
+  since = "1.0.0",
+  group = "generator_funcs")
+// scalastyle:on line.size.limit
+object ExplodeOuterGeneratorBuilder extends ExplodeGeneratorBuilderBase {
+  override def isOuter: Boolean = true
+}
+
+
 /**
  * Given an input array produces a sequence of rows for each position and value in the array.
  *
@@ -448,6 +514,9 @@ case class Explode(child: Expression) extends ExplodeBase {
       > SELECT _FUNC_(array(10,20));
        0	10
        1	20
+      > SELECT * FROM _FUNC_(array(10,20));
+       0	10
+       1	20
   """,
   since = "2.0.0",
   group = "generator_funcs")
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/maskExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/maskExpressions.scala
index af74e7c0f7b24..61a96ff5ff951 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/maskExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/maskExpressions.scala
@@ -18,10 +18,11 @@
 package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{ExpressionBuilder, TypeCheckResult}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
+import org.apache.spark.sql.catalyst.plans.logical.{FunctionSignature, InputParameter}
 import org.apache.spark.sql.errors.QueryErrorsBase
 import org.apache.spark.sql.types.{AbstractDataType, DataType, StringType}
 import org.apache.spark.unsafe.types.UTF8String
@@ -75,6 +76,26 @@ import org.apache.spark.unsafe.types.UTF8String
   since = "3.4.0",
   group = "string_funcs")
 // scalastyle:on line.size.limit
+object MaskExpressionBuilder extends ExpressionBuilder {
+  override def functionSignature: Option[FunctionSignature] = {
+    val strArg = InputParameter("str")
+    val upperCharArg = InputParameter("upperChar", Some(Literal(Mask.MASKED_UPPERCASE)))
+    val lowerCharArg = InputParameter("lowerChar", Some(Literal(Mask.MASKED_LOWERCASE)))
+    val digitCharArg = InputParameter("digitChar", Some(Literal(Mask.MASKED_DIGIT)))
+    val otherCharArg = InputParameter(
+      "otherChar",
+      Some(Literal(Mask.MASKED_IGNORE, StringType)))
+    val functionSignature: FunctionSignature = FunctionSignature(Seq(
+      strArg, upperCharArg, lowerCharArg, digitCharArg, otherCharArg))
+    Some(functionSignature)
+  }
+
+  override def build(funcName: String, expressions: Seq[Expression]): Expression = {
+    assert(expressions.size == 5)
+    new Mask(expressions(0), expressions(1), expressions(2), expressions(3), expressions(4))
+  }
+}
+
 case class Mask(
     input: Expression,
     upperChar: Expression,
@@ -277,13 +298,13 @@ case class MaskArgument(maskChar: Char, ignore: Boolean)
 
 object Mask {
   // Default character to replace upper-case characters
-  private val MASKED_UPPERCASE = 'X'
+  val MASKED_UPPERCASE = 'X'
   // Default character to replace lower-case characters
-  private val MASKED_LOWERCASE = 'x'
+  val MASKED_LOWERCASE = 'x'
   // Default character to replace digits
-  private val MASKED_DIGIT = 'n'
+  val MASKED_DIGIT = 'n'
   // This value helps to retain original value in the input by ignoring the replacement rules
-  private val MASKED_IGNORE = null
+  val MASKED_IGNORE = null
 
   def transformInput(
       input: Any,
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
new file mode 100644
index 0000000000000..4a2b9eae98100
--- /dev/null
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.plans.logical
+
+import org.apache.spark.sql.catalyst.expressions.{Expression, NamedArgumentExpression}
+import org.apache.spark.sql.errors.QueryCompilationErrors
+
+/**
+ * This is a base trait that is used for implementing builder classes that can be used to construct
+ * expressions or logical plans depending on if it is a table-valued or scalar-valued function.
+ *
+ * Two classes of builders currently exist for this trait: [[GeneratorBuilder]] and
+ * [[ExpressionBuilder]]. If a new class of functions are to be added, a new trait should also be
+ * created which extends this trait.
+ *
+ * @tparam T The type that is expected to be returned by the [[FunctionBuilderBase.build]] function
+ */
+trait FunctionBuilderBase[T] {
+  /**
+   * A method that returns the method signature for this function.
+   * Each function signature includes a list of parameters to which the analyzer can
+   * compare a function call with provided arguments to determine if that function
+   * call is a match for the function signature.
+   *
+   * IMPORTANT: For now, each function expression builder should have only one function signature.
+   * Also, for any function signature, required arguments must always come before optional ones.
+   */
+  def functionSignature: Option[FunctionSignature] = None
+
+  /**
+   * This function rearranges the arguments provided during function invocation in positional order
+   * according to the function signature. This method will fill in the default values if optional
+   * parameters do not have their values specified. Any function which supports named arguments
+   * will have this routine invoked, even if no named arguments are present in the argument list.
+   * This is done to eliminate constructor overloads in some methods which use them for default
+   * values prior to the implementation of the named argument framework. This function will also
+   * check if the number of arguments are correct. If that is not the case, then an error will be
+   * thrown.
+   *
+   * IMPORTANT: This method will be called before the [[FunctionBuilderBase.build]] method is
+   * invoked. It is guaranteed that the expressions provided to the [[FunctionBuilderBase.build]]
+   * functions forms a valid set of argument expressions that can be used in the construction of
+   * the function expression.
+   *
+   * @param expectedSignature The method signature which we rearrange our arguments according to
+   * @param providedArguments The list of arguments passed from function invocation
+   * @param functionName The name of the function
+   * @return The rearranged argument list with arguments in positional order
+   */
+  def rearrange(
+      expectedSignature: FunctionSignature,
+      providedArguments: Seq[Expression],
+      functionName: String) : Seq[Expression] = {
+    NamedParametersSupport.defaultRearrange(expectedSignature, providedArguments, functionName)
+  }
+
+  def build(funcName: String, expressions: Seq[Expression]): T
+}
+
+object NamedParametersSupport {
+  /**
+   * This method is the default routine which rearranges the arguments in positional order according
+   * to the function signature provided. This will also fill in any default values that exists for
+   * optional arguments. This method will also be invoked even if there are no named arguments in
+   * the argument list. This method will keep all positional arguments in their original order.
+   *
+   * @param functionSignature The function signature that defines the positional ordering
+   * @param args The argument list provided in function invocation
+   * @param functionName The name of the function
+   * @return A list of arguments rearranged in positional order defined by the provided signature
+   */
+  final def defaultRearrange(
+      functionSignature: FunctionSignature,
+      args: Seq[Expression],
+      functionName: String): Seq[Expression] = {
+    val parameters: Seq[InputParameter] = functionSignature.parameters
+    if (parameters.dropWhile(_.default.isEmpty).exists(_.default.isEmpty)) {
+      throw QueryCompilationErrors.unexpectedRequiredParameterInFunctionSignature(
+        functionName, functionSignature)
+    }
+
+    val (positionalArgs, namedArgs) = args.span(!_.isInstanceOf[NamedArgumentExpression])
+    val namedParameters: Seq[InputParameter] = parameters.drop(positionalArgs.size)
+
+    // The following loop checks for the following:
+    // 1. Unrecognized parameter names
+    // 2. Duplicate routine parameter assignments
+    val allParameterNames: Seq[String] = parameters.map(_.name)
+    val parameterNamesSet: Set[String] = allParameterNames.toSet
+    val positionalParametersSet = allParameterNames.take(positionalArgs.size).toSet
+    val namedParametersSet = collection.mutable.Set[String]()
+
+    for (arg <- namedArgs) {
+      arg match {
+        case namedArg: NamedArgumentExpression =>
+          val parameterName = namedArg.key
+          if (!parameterNamesSet.contains(parameterName)) {
+            throw QueryCompilationErrors.unrecognizedParameterName(functionName, namedArg.key,
+              parameterNamesSet.toSeq)
+          }
+          if (positionalParametersSet.contains(parameterName)) {
+            throw QueryCompilationErrors.positionalAndNamedArgumentDoubleReference(
+              functionName, namedArg.key)
+          }
+          if (namedParametersSet.contains(parameterName)) {
+            throw QueryCompilationErrors.doubleNamedArgumentReference(
+              functionName, namedArg.key)
+          }
+          namedParametersSet.add(namedArg.key)
+        case _ =>
+          throw QueryCompilationErrors.unexpectedPositionalArgument(functionName)
+      }
+    }
+
+    // Check the argument list size against the provided parameter list length.
+    if (parameters.size < args.length) {
+      val validParameterSizes =
+        Array.range(parameters.count(_.default.isEmpty), parameters.size + 1).toSeq
+      throw QueryCompilationErrors.wrongNumArgsError(
+        functionName, validParameterSizes, args.length)
+    }
+
+    // This constructs a map from argument name to value for argument rearrangement.
+    val namedArgMap = namedArgs.map { arg =>
+      val namedArg = arg.asInstanceOf[NamedArgumentExpression]
+      namedArg.key -> namedArg.value
+    }.toMap
+
+    // We rearrange named arguments to match their positional order.
+    val rearrangedNamedArgs: Seq[Expression] = namedParameters.map { param =>
+      namedArgMap.getOrElse(
+        param.name,
+        if (param.default.isEmpty) {
+          throw QueryCompilationErrors.requiredParameterNotFound(functionName, param.name)
+        } else {
+          param.default.get
+        }
+      )
+    }
+    val rearrangedArgs = positionalArgs ++ rearrangedNamedArgs
+    assert(rearrangedArgs.size == parameters.size)
+    rearrangedArgs
+  }
+}
+
+/**
+ * Represents a parameter of a function expression. Function expressions should use this class
+ * to construct the argument lists returned in [[Builder]]
+ *
+ * @param name     The name of the string.
+ * @param default  The default value of the argument. If the default is none, then that means the
+ *                 argument is required. If no argument is provided, an exception is thrown.
+ */
+case class InputParameter(name: String, default: Option[Expression] = None)
+
+/**
+ * Represents a method signature and the list of arguments it receives as input.
+ * Currently, overloads are not supported and only one FunctionSignature is allowed
+ * per function expression.
+ *
+ * @param parameters The list of arguments which the function takes
+ */
+case class FunctionSignature(parameters: Seq[InputParameter])
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 955046e74e1ed..346f25580aaeb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference, AttributeSet, CreateMap, CreateStruct, Expression, GroupingID, NamedExpression, SpecifiedWindowFrame, WindowFrame, WindowFunction, WindowSpecDefinition}
 import org.apache.spark.sql.catalyst.expressions.aggregate.AnyValue
 import org.apache.spark.sql.catalyst.plans.JoinType
-import org.apache.spark.sql.catalyst.plans.logical.{Assignment, Join, LogicalPlan, SerdeInfo, Window}
+import org.apache.spark.sql.catalyst.plans.logical.{Assignment, FunctionSignature, Join, LogicalPlan, SerdeInfo, Window}
 import org.apache.spark.sql.catalyst.trees.{Origin, TreeNode}
 import org.apache.spark.sql.catalyst.util.{quoteIdentifier, FailFastMode, ParseMode, PermissiveMode}
 import org.apache.spark.sql.connector.catalog._
@@ -50,6 +50,78 @@ import org.apache.spark.sql.types._
  */
 private[sql] object QueryCompilationErrors extends QueryErrorsBase {
 
+  def unexpectedRequiredParameterInFunctionSignature(
+      functionName: String, functionSignature: FunctionSignature) : Throwable = {
+    val errorMessage = s"Function $functionName has an unexpected required argument for" +
+      s" the provided function signature $functionSignature. All required arguments should" +
+      " come before optional arguments."
+    SparkException.internalError(errorMessage)
+  }
+
+  def namedArgumentsNotSupported(functionName: String) : Throwable = {
+    new AnalysisException(
+      errorClass = "NAMED_PARAMETERS_NOT_SUPPORTED",
+      messageParameters = Map("functionName" -> toSQLId(functionName))
+    )
+  }
+
+  def positionalAndNamedArgumentDoubleReference(
+      functionName: String, parameterName: String) : Throwable = {
+    val errorClass =
+      "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.BOTH_POSITIONAL_AND_NAMED"
+    new AnalysisException(
+      errorClass = errorClass,
+      messageParameters = Map(
+        "functionName" -> toSQLId(functionName),
+        "parameterName" -> toSQLId(parameterName))
+    )
+  }
+
+  def doubleNamedArgumentReference(
+      functionName: String, parameterName: String): Throwable = {
+    val errorClass =
+      "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.DOUBLE_NAMED_ARGUMENT_REFERENCE"
+    new AnalysisException(
+      errorClass = errorClass,
+      messageParameters = Map(
+        "functionName" -> toSQLId(functionName),
+        "parameterName" -> toSQLId(parameterName))
+    )
+  }
+
+  def requiredParameterNotFound(
+      functionName: String, parameterName: String) : Throwable = {
+    new AnalysisException(
+      errorClass = "REQUIRED_PARAMETER_NOT_FOUND",
+      messageParameters = Map(
+        "functionName" -> toSQLId(functionName),
+        "parameterName" -> toSQLId(parameterName))
+    )
+  }
+
+  def unrecognizedParameterName(
+      functionName: String, argumentName: String, candidates: Seq[String]): Throwable = {
+    import org.apache.spark.sql.catalyst.util.StringUtils.orderSuggestedIdentifiersBySimilarity
+
+    val inputs = candidates.map(candidate => Seq(candidate)).toSeq
+    val recommendations = orderSuggestedIdentifiersBySimilarity(argumentName, inputs)
+      .take(3)
+    new AnalysisException(
+      errorClass = "UNRECOGNIZED_PARAMETER_NAME",
+      messageParameters = Map(
+        "functionName" -> toSQLId(functionName),
+        "argumentName" -> toSQLId(argumentName),
+        "proposal" -> recommendations.mkString(" "))
+    )
+  }
+
+  def unexpectedPositionalArgument(functionName: String): Throwable = {
+    new AnalysisException(
+      errorClass = "UNEXPECTED_POSITIONAL_ARGUMENT",
+      messageParameters = Map("functionName" -> toSQLId(functionName))
+    )
+  }
+
   def groupingIDMismatchError(groupingID: GroupingID, groupByExprs: Seq[Expression]): Throwable = {
     new AnalysisException(
       errorClass = "GROUPING_ID_COLUMN_MISMATCH",
@@ -195,7 +267,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
 
   def namedArgumentsNotEnabledError(functionName: String, argumentName: String): Throwable = {
     new AnalysisException(
-      errorClass = "NAMED_ARGUMENTS_SUPPORT_DISABLED",
+      errorClass = "NAMED_PARAMETER_SUPPORT_DISABLED",
       messageParameters = Map(
         "functionName" -> toSQLId(functionName),
         "argument" -> toSQLId(argumentName))
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala
new file mode 100644
index 0000000000000..dd5cb5e7d03c8
--- /dev/null
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.SparkThrowable
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{Expression, Literal, NamedArgumentExpression}
+import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, ExprCode}
+import org.apache.spark.sql.catalyst.plans.logical.{FunctionBuilderBase, FunctionSignature, InputParameter, NamedParametersSupport}
+import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLId
+import org.apache.spark.sql.types.DataType
+
+
+case class DummyExpression(
+    k1: Expression,
+    k2: Expression,
+    k3: Expression,
+    k4: Expression) extends Expression {
+  override def nullable: Boolean = false
+  override def eval(input: InternalRow): Any = None
+  override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = null
+  override def dataType: DataType = null
+  override def children: Seq[Expression] = Nil
+  override protected def withNewChildrenInternal(
+      newChildren: IndexedSeq[Expression]): Expression = null
+}
+
+object DummyExpressionBuilder extends ExpressionBuilder  {
+  def defaultFunctionSignature: FunctionSignature = {
+    FunctionSignature(Seq(InputParameter("k1"),
+      InputParameter("k2"),
+      InputParameter("k3"),
+      InputParameter("k4")))
+  }
+
+  override def functionSignature: Option[FunctionSignature] =
+    Some(defaultFunctionSignature)
+  override def build(funcName: String, expressions: Seq[Expression]): Expression =
+    DummyExpression(expressions(0), expressions(1), expressions(2), expressions(3))
+}
+
+class NamedArgumentFunctionSuite extends AnalysisTest {
+
+  final val k1Arg = Literal("v1")
+  final val k2Arg = NamedArgumentExpression("k2", Literal("v2"))
+  final val k3Arg = NamedArgumentExpression("k3", Literal("v3"))
+  final val k4Arg = NamedArgumentExpression("k4", Literal("v4"))
+  final val namedK1Arg = NamedArgumentExpression("k1", Literal("v1-2"))
+  final val args = Seq(k1Arg, k4Arg, k2Arg, k3Arg)
+  final val expectedSeq = Seq(Literal("v1"), Literal("v2"), Literal("v3"), Literal("v4"))
+  final val signature = DummyExpressionBuilder.defaultFunctionSignature
+  final val illegalSignature = FunctionSignature(Seq(
+    InputParameter("k1"), InputParameter("k2", Option(Literal("v2"))), InputParameter("k3")))
+
+  test("Check rearrangement of expressions") {
+    val rearrangedArgs = NamedParametersSupport.defaultRearrange(
+      signature, args, "function")
+    for ((returnedArg, expectedArg) <- rearrangedArgs.zip(expectedSeq)) {
+      assert(returnedArg == expectedArg)
+    }
+    val rearrangedArgsWithBuilder =
+      FunctionRegistry.rearrangeExpressions("function", DummyExpressionBuilder, args)
+    for ((returnedArg, expectedArg) <- rearrangedArgsWithBuilder.zip(expectedSeq)) {
+      assert(returnedArg == expectedArg)
+    }
+  }
+
+  private def parseRearrangeException(functionSignature: FunctionSignature,
+                                      expressions: Seq[Expression],
+                                      functionName: String = "function"): SparkThrowable = {
+    intercept[SparkThrowable](
+      NamedParametersSupport.defaultRearrange(functionSignature, expressions, functionName))
+  }
+
+  private def parseExternalException[T <: FunctionBuilderBase[_]](
+      functionName: String,
+      builder: T,
+      expressions: Seq[Expression]) : SparkThrowable = {
+    intercept[SparkThrowable](
+      FunctionRegistry.rearrangeExpressions[T](functionName, builder, expressions))
+  }
+
+  test("DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT") {
+    val errorClass =
+      "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.BOTH_POSITIONAL_AND_NAMED"
+    checkError(
+      exception = parseRearrangeException(
+        signature, Seq(k1Arg, k2Arg, k3Arg, k4Arg, namedK1Arg), "foo"),
+      errorClass = errorClass,
+      parameters = Map("functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k1"))
+    )
+    checkError(
+      exception = parseRearrangeException(
+        signature, Seq(k1Arg, k2Arg, k3Arg, k4Arg, k4Arg), "foo"),
+      errorClass = "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.DOUBLE_NAMED_ARGUMENT_REFERENCE",
+      parameters = Map("functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k4"))
+    )
+  }
+
+  test("REQUIRED_PARAMETER_NOT_FOUND") {
+    checkError(
+      exception = parseRearrangeException(signature, Seq(k1Arg, k2Arg, k3Arg), "foo"),
+      errorClass = "REQUIRED_PARAMETER_NOT_FOUND",
+      parameters = Map("functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k4"))
+    )
+  }
+
+  test("UNRECOGNIZED_PARAMETER_NAME") {
+    checkError(
+      exception = parseRearrangeException(signature,
+        Seq(k1Arg, k2Arg, k3Arg, k4Arg, NamedArgumentExpression("k5", Literal("k5"))), "foo"),
+      errorClass = "UNRECOGNIZED_PARAMETER_NAME",
+      parameters = Map("functionName" -> toSQLId("foo"), "argumentName" -> toSQLId("k5"),
+        "proposal" -> (toSQLId("k1") + " " + toSQLId("k2") + " " + toSQLId("k3")))
+    )
+  }
+
+  test("UNEXPECTED_POSITIONAL_ARGUMENT") {
+    checkError(
+      exception = parseRearrangeException(signature,
+        Seq(k2Arg, k3Arg, k1Arg, k4Arg), "foo"),
+      errorClass = "UNEXPECTED_POSITIONAL_ARGUMENT",
+      parameters = Map("functionName" -> toSQLId("foo"))
+    )
+  }
+
+  test("INTERNAL_ERROR: Enforce optional arguments after required arguments") {
+    val errorMessage = s"Function foo has an unexpected required argument for the provided" +
+      s" function signature ${illegalSignature}. All required arguments should come before" +
+      s" optional arguments."
+    checkError(
+      exception = parseRearrangeException(illegalSignature, args, "foo"),
+      errorClass = "INTERNAL_ERROR",
+      parameters = Map("message" -> errorMessage)
+    )
+  }
+}
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
index faa05535cb322..e01e0ca5ee011 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
@@ -2,111 +2,368 @@
 -- !query
 SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
 -- !query analysis
+Project [mask(AbCD123-@$#, Q, q, d, o) AS mask(AbCD123-@$#, Q, q, d, o)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')
+-- !query analysis
+Project [mask(AbCD123-@$#, Q, q, d, o) AS mask(AbCD123-@$#, Q, q, d, o)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')
+-- !query analysis
+Project [mask(AbCD123-@$#, Q, q, d, null) AS mask(AbCD123-@$#, Q, q, d, NULL)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')
+-- !query analysis
+Project [mask(AbCD123-@$#, Q, q, d, null) AS mask(AbCD123-@$#, Q, q, d, NULL)#x]
++- OneRowRelation
+
+
+-- !query
+create temporary view t2 as select * from values
+  ('val2a', 6S, 12, 14L, float(15), 20D, 20E2, timestamp '2014-04-04 01:01:00.000', date '2014-04-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 8S, 16, 119L, float(17), 25D, 26E2, timestamp '2015-05-04 01:01:00.000', date '2015-05-04'),
+  ('val1c', 12S, 16, 219L, float(17), 25D, 26E2, timestamp '2016-05-04 01:01:00.000', date '2016-05-04'),
+  ('val1b', null, 16, 319L, float(17), 25D, 26E2, timestamp '2017-05-04 01:01:00.000', null),
+  ('val2e', 8S, null, 419L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1f', 19S, null, 519L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1b', 8S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-07-04 01:01:00.000', date '2014-07-04'),
+  ('val1c', 12S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-08-04 01:01:00.000', date '2014-08-05'),
+  ('val1e', 8S, null, 19L, float(17), 25D, 26E2, timestamp '2014-09-04 01:01:00.000', date '2014-09-04'),
+  ('val1f', 19S, null, 19L, float(17), 25D, 26E2, timestamp '2014-10-04 01:01:00.000', date '2014-10-04'),
+  ('val1b', null, 16, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', null)
+  as t2(t2a, t2b, t2c, t2d, t2e, t2f, t2g, t2h, t2i)
+-- !query analysis
+CreateViewCommand `t2`, select * from values
+  ('val2a', 6S, 12, 14L, float(15), 20D, 20E2, timestamp '2014-04-04 01:01:00.000', date '2014-04-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 8S, 16, 119L, float(17), 25D, 26E2, timestamp '2015-05-04 01:01:00.000', date '2015-05-04'),
+  ('val1c', 12S, 16, 219L, float(17), 25D, 26E2, timestamp '2016-05-04 01:01:00.000', date '2016-05-04'),
+  ('val1b', null, 16, 319L, float(17), 25D, 26E2, timestamp '2017-05-04 01:01:00.000', null),
+  ('val2e', 8S, null, 419L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1f', 19S, null, 519L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1b', 8S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-07-04 01:01:00.000', date '2014-07-04'),
+  ('val1c', 12S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-08-04 01:01:00.000', date '2014-08-05'),
+  ('val1e', 8S, null, 19L, float(17), 25D, 26E2, timestamp '2014-09-04 01:01:00.000', date '2014-09-04'),
+  ('val1f', 19S, null, 19L, float(17), 25D, 26E2, timestamp '2014-10-04 01:01:00.000', date '2014-10-04'),
+  ('val1b', null, 16, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', null)
+  as t2(t2a, t2b, t2c, t2d, t2e, t2f, t2g, t2h, t2i), false, false, LocalTempView, true
+   +- Project [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+      +- SubqueryAlias t2
+         +- LocalRelation [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+
+
+-- !query
+SELECT hex(count_min_sketch(t2d, seed => 1, epsilon => 0.5d, confidence => 0.5d)) FROM t2
+-- !query analysis
+Aggregate [hex(count_min_sketch(t2d#xL, 0.5, 0.5, 1, 0, 0)) AS hex(count_min_sketch(t2d, 0.5, 0.5, 1))#x]
++- SubqueryAlias t2
+   +- View (`t2`, [t2a#x,t2b#x,t2c#x,t2d#xL,t2e#x,t2f#x,t2g#x,t2h#x,t2i#x])
+      +- Project [cast(t2a#x as string) AS t2a#x, cast(t2b#x as smallint) AS t2b#x, cast(t2c#x as int) AS t2c#x, cast(t2d#xL as bigint) AS t2d#xL, cast(t2e#x as float) AS t2e#x, cast(t2f#x as double) AS t2f#x, cast(t2g#x as double) AS t2g#x, cast(t2h#x as timestamp) AS t2h#x, cast(t2i#x as date) AS t2i#x]
+         +- Project [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+            +- SubqueryAlias t2
+               +- LocalRelation [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+
+
+-- !query
+SELECT hex(count_min_sketch(seed => 1, epsilon => 0.5d, confidence => 0.5d, column => t2d)) FROM t2
+-- !query analysis
+Aggregate [hex(count_min_sketch(t2d#xL, 0.5, 0.5, 1, 0, 0)) AS hex(count_min_sketch(t2d, 0.5, 0.5, 1))#x]
++- SubqueryAlias t2
+   +- View (`t2`, [t2a#x,t2b#x,t2c#x,t2d#xL,t2e#x,t2f#x,t2g#x,t2h#x,t2i#x])
+      +- Project [cast(t2a#x as string) AS t2a#x, cast(t2b#x as smallint) AS t2b#x, cast(t2c#x as int) AS t2c#x, cast(t2d#xL as bigint) AS t2d#xL, cast(t2e#x as float) AS t2e#x, cast(t2f#x as double) AS t2f#x, cast(t2g#x as double) AS t2g#x, cast(t2h#x as timestamp) AS t2h#x, cast(t2i#x as date) AS t2i#x]
+         +- Project [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+            +- SubqueryAlias t2
+               +- LocalRelation [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+
+
+-- !query
+SELECT hex(count_min_sketch(t2d, 0.5d, seed => 1, confidence => 0.5d)) FROM t2
+-- !query analysis
+Aggregate [hex(count_min_sketch(t2d#xL, 0.5, 0.5, 1, 0, 0)) AS hex(count_min_sketch(t2d, 0.5, 0.5, 1))#x]
++- SubqueryAlias t2
+   +- View (`t2`, [t2a#x,t2b#x,t2c#x,t2d#xL,t2e#x,t2f#x,t2g#x,t2h#x,t2i#x])
+      +- Project [cast(t2a#x as string) AS t2a#x, cast(t2b#x as smallint) AS t2b#x, cast(t2c#x as int) AS t2c#x, cast(t2d#xL as bigint) AS t2d#xL, cast(t2e#x as float) AS t2e#x, cast(t2f#x as double) AS t2f#x, cast(t2g#x as double) AS t2g#x, cast(t2h#x as timestamp) AS t2h#x, cast(t2i#x as date) AS t2i#x]
+         +- Project [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+            +- SubqueryAlias t2
+               +- LocalRelation [t2a#x, t2b#x, t2c#x, t2d#xL, t2e#x, t2f#x, t2g#x, t2h#x, t2i#x]
+
+
+-- !query
+SELECT * FROM explode(collection => array(1, 2))
+-- !query analysis
+Project [col#x]
++- Generate explode(array(1, 2)), false, [col#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT * FROM explode_outer(collection => map('a', 1, 'b', 2))
+-- !query analysis
+Project [key#x, value#x]
++- Generate explode(map(a, 1, b, 2)), true, [key#x, value#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT * FROM explode(array(1, 2)), explode(array(3, 4))
+-- !query analysis
+Project [col#x, col#x]
++- Join Inner
+   :- Generate explode(array(1, 2)), false, [col#x]
+   :  +- OneRowRelation
+   +- Generate explode(array(3, 4)), false, [col#x]
+      +- OneRowRelation
+
+
+-- !query
+SELECT * FROM explode(array(1, 2)) AS t, LATERAL explode(array(3 * t.col, 4 * t.col))
+-- !query analysis
+Project [col#x, col#x]
++- LateralJoin lateral-subquery#x [col#x && col#x], Inner
+   :  +- Generate explode(array((3 * outer(col#x)), (4 * outer(col#x)))), false, [col#x]
+   :     +- OneRowRelation
+   +- SubqueryAlias t
+      +- Generate explode(array(1, 2)), false, [col#x]
+         +- OneRowRelation
+
+
+-- !query
+SELECT num, val, 'Spark' FROM explode(map(1, 'a', 2, 'b')) AS t(num, val)
+-- !query analysis
+Project [num#x, val#x, Spark AS Spark#x]
++- SubqueryAlias t
+   +- Project [key#x AS num#x, value#x AS val#x]
+      +- Generate explode(map(1, a, 2, b)), false, [key#x, value#x]
+         +- OneRowRelation
+
+
+-- !query
+SELECT * FROM explode(collection => explode(array(1)))
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS",
+  "sqlState" : "0A000",
+  "messageParameters" : {
+    "expression" : "\"explode(explode(array(1)))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 54,
+    "fragment" : "explode(collection => explode(array(1)))"
+  } ]
+}
+
+
+-- !query
+SELECT * FROM explode(collection => explode(collection => array(1)))
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS",
+  "sqlState" : "0A000",
+  "messageParameters" : {
+    "expression" : "\"explode(explode(array(1)))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 68,
+    "fragment" : "explode(collection => explode(collection => array(1)))"
+  } ]
+}
+
+
+-- !query
+CREATE OR REPLACE TEMPORARY VIEW v AS SELECT id FROM range(0, 8)
+-- !query analysis
+CreateViewCommand `v`, SELECT id FROM range(0, 8), false, true, LocalTempView, true
+   +- Project [id#xL]
+      +- Range (0, 8, step=1, splits=None)
+
+
+-- !query
+SELECT * FROM explode(collection => TABLE(v))
+-- !query analysis
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+  "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(AbCD123-@$#, namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d))\""
+    "inputSql" : "\"outer(__auto_generated_subquery_name_0.c)\"",
+    "inputType" : "\"STRUCT<id: BIGINT>\"",
+    "paramIndex" : "1",
+    "requiredType" : "(\"ARRAY\" or \"MAP\")",
+    "sqlExpr" : "\"explode(outer(__auto_generated_subquery_name_0.c))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 45,
+    "fragment" : "explode(collection => TABLE(v))"
+  } ]
+}
+
+
+-- !query
+SELECT mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNEXPECTED_POSITIONAL_ARGUMENT",
+  "sqlState" : "4274K",
+  "messageParameters" : {
+    "functionName" : "`mask`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
     "stopIndex" : 98,
-    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
+    "fragment" : "mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', digitChar => 'e')
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.DOUBLE_NAMED_ARGUMENT_REFERENCE",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(Q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d), namedargumentexpression(AbCD123-@$#))\""
+    "functionName" : "`mask`",
+    "parameterName" : "`digitChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 105,
-    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')"
+    "stopIndex" : 116,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', digitChar => 'e')"
   } ]
 }
 
 
 -- !query
-SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbC')
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.BOTH_POSITIONAL_AND_NAMED",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(AbCD123-@$#, namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(d), NULL)\""
+    "functionName" : "`mask`",
+    "parameterName" : "`str`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 80,
-    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')"
+    "stopIndex" : 112,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbC')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')
+SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "REQUIRED_PARAMETER_NOT_FOUND",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(Q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(d), namedargumentexpression(AbCD123-@$#), NULL)\""
+    "functionName" : "`mask`",
+    "parameterName" : "`str`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 87,
-    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')"
+    "stopIndex" : 83,
+    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', cellular => 'automata')
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
-  "sqlState" : "42K09",
+  "errorClass" : "UNRECOGNIZED_PARAMETER_NAME",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "exprName" : "upperChar",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), AbCD123-@$#, namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d))\""
+    "argumentName" : "`cellular`",
+    "functionName" : "`mask`",
+    "proposal" : "`str` `upperChar` `otherChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 98,
-    "fragment" : "mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
+    "stopIndex" : 122,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', cellular => 'automata')"
+  } ]
+}
+
+
+-- !query
+SELECT encode(str => 'a', charset => 'utf-8')
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "NAMED_PARAMETERS_NOT_SUPPORTED",
+  "sqlState" : "4274K",
+  "messageParameters" : {
+    "functionName" : "`encode`"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 45,
+    "fragment" : "encode(str => 'a', charset => 'utf-8')"
+  } ]
+}
+
+
+-- !query
+SELECT mask('AbCD123-@$#', 'Q', 'q', 'd', 'o', 'k')
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "WRONG_NUM_ARGS.WITHOUT_SUGGESTION",
+  "sqlState" : "42605",
+  "messageParameters" : {
+    "actualNum" : "6",
+    "docroot" : "https://spark.apache.org/docs/latest",
+    "expectedNum" : "[1, 2, 3, 4, 5]",
+    "functionName" : "`mask`"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 51,
+    "fragment" : "mask('AbCD123-@$#', 'Q', 'q', 'd', 'o', 'k')"
   } ]
 }
diff --git a/sql/core/src/test/resources/sql-tests/inputs/named-function-arguments.sql b/sql/core/src/test/resources/sql-tests/inputs/named-function-arguments.sql
index aeb7b1e85cd8c..99f33d7815255 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/named-function-arguments.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/named-function-arguments.sql
@@ -1,5 +1,60 @@
+-- Test for named arguments for Mask
 SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd');
 SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#');
 SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd');
 SELECT mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#');
+
+-- Test for named arguments for CountMinSketchAgg
+create temporary view t2 as select * from values
+  ('val2a', 6S, 12, 14L, float(15), 20D, 20E2, timestamp '2014-04-04 01:01:00.000', date '2014-04-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 8S, 16, 119L, float(17), 25D, 26E2, timestamp '2015-05-04 01:01:00.000', date '2015-05-04'),
+  ('val1c', 12S, 16, 219L, float(17), 25D, 26E2, timestamp '2016-05-04 01:01:00.000', date '2016-05-04'),
+  ('val1b', null, 16, 319L, float(17), 25D, 26E2, timestamp '2017-05-04 01:01:00.000', null),
+  ('val2e', 8S, null, 419L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1f', 19S, null, 519L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1b', 8S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-07-04 01:01:00.000', date '2014-07-04'),
+  ('val1c', 12S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-08-04 01:01:00.000', date '2014-08-05'),
+  ('val1e', 8S, null, 19L, float(17), 25D, 26E2, timestamp '2014-09-04 01:01:00.000', date '2014-09-04'),
+  ('val1f', 19S, null, 19L, float(17), 25D, 26E2, timestamp '2014-10-04 01:01:00.000', date '2014-10-04'),
+  ('val1b', null, 16, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', null)
+  as t2(t2a, t2b, t2c, t2d, t2e, t2f, t2g, t2h, t2i);
+
+SELECT hex(count_min_sketch(t2d, seed => 1, epsilon => 0.5d, confidence => 0.5d)) FROM t2;
+SELECT hex(count_min_sketch(seed => 1, epsilon => 0.5d, confidence => 0.5d, column => t2d)) FROM t2;
+SELECT hex(count_min_sketch(t2d, 0.5d, seed => 1, confidence => 0.5d)) FROM t2;
+
+-- Test for tabled value functions explode and explode_outer
+SELECT * FROM explode(collection => array(1, 2));
+SELECT * FROM explode_outer(collection => map('a', 1, 'b', 2));
+SELECT * FROM explode(array(1, 2)), explode(array(3, 4));
+SELECT * FROM explode(array(1, 2)) AS t, LATERAL explode(array(3 * t.col, 4 * t.col));
+SELECT num, val, 'Spark' FROM explode(map(1, 'a', 2, 'b')) AS t(num, val);
+
+-- Test for wrapped EXPLODE call to check error preservation
+SELECT * FROM explode(collection => explode(array(1)));
+SELECT * FROM explode(collection => explode(collection => array(1)));
+
+-- Test with TABLE parser rule
+CREATE OR REPLACE TEMPORARY VIEW v AS SELECT id FROM range(0, 8);
+SELECT * FROM explode(collection => TABLE(v));
+
+-- Unexpected positional argument
 SELECT mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd');
+
+-- Duplicate parameter assignment
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', digitChar => 'e');
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbC');
+
+-- Required parameter not found
+SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd');
+
+-- Unrecognized parameter name
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', cellular => 'automata');
+
+-- Named arguments not supported
+SELECT encode(str => 'a', charset => 'utf-8');
+
+-- Wrong number of arguments
+SELECT mask('AbCD123-@$#', 'Q', 'q', 'd', 'o', 'k');
diff --git a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
index 842374542ec6e..3b223cc0e1529 100644
--- a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
@@ -2,121 +2,365 @@
 -- !query
 SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
 -- !query schema
+struct<mask(AbCD123-@$#, Q, q, d, o):string>
+-- !query output
+QqQQdddoooo
+
+
+-- !query
+SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')
+-- !query schema
+struct<mask(AbCD123-@$#, Q, q, d, o):string>
+-- !query output
+QqQQdddoooo
+
+
+-- !query
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')
+-- !query schema
+struct<mask(AbCD123-@$#, Q, q, d, NULL):string>
+-- !query output
+QqQQddd-@$#
+
+
+-- !query
+SELECT mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')
+-- !query schema
+struct<mask(AbCD123-@$#, Q, q, d, NULL):string>
+-- !query output
+QqQQddd-@$#
+
+
+-- !query
+create temporary view t2 as select * from values
+  ('val2a', 6S, 12, 14L, float(15), 20D, 20E2, timestamp '2014-04-04 01:01:00.000', date '2014-04-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 8S, 16, 119L, float(17), 25D, 26E2, timestamp '2015-05-04 01:01:00.000', date '2015-05-04'),
+  ('val1c', 12S, 16, 219L, float(17), 25D, 26E2, timestamp '2016-05-04 01:01:00.000', date '2016-05-04'),
+  ('val1b', null, 16, 319L, float(17), 25D, 26E2, timestamp '2017-05-04 01:01:00.000', null),
+  ('val2e', 8S, null, 419L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1f', 19S, null, 519L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', date '2014-05-04'),
+  ('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-06-04 01:01:00.000', date '2014-06-04'),
+  ('val1b', 8S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-07-04 01:01:00.000', date '2014-07-04'),
+  ('val1c', 12S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-08-04 01:01:00.000', date '2014-08-05'),
+  ('val1e', 8S, null, 19L, float(17), 25D, 26E2, timestamp '2014-09-04 01:01:00.000', date '2014-09-04'),
+  ('val1f', 19S, null, 19L, float(17), 25D, 26E2, timestamp '2014-10-04 01:01:00.000', date '2014-10-04'),
+  ('val1b', null, 16, 19L, float(17), 25D, 26E2, timestamp '2014-05-04 01:01:00.000', null)
+  as t2(t2a, t2b, t2c, t2d, t2e, t2f, t2g, t2h, t2i)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+SELECT hex(count_min_sketch(t2d, seed => 1, epsilon => 0.5d, confidence => 0.5d)) FROM t2
+-- !query schema
+struct<hex(count_min_sketch(t2d, 0.5, 0.5, 1)):string>
+-- !query output
+00000001000000000000000D0000000100000004000000005D8D6AB90000000000000002000000000000000700000000000000010000000000000003
+
+
+-- !query
+SELECT hex(count_min_sketch(seed => 1, epsilon => 0.5d, confidence => 0.5d, column => t2d)) FROM t2
+-- !query schema
+struct<hex(count_min_sketch(t2d, 0.5, 0.5, 1)):string>
+-- !query output
+00000001000000000000000D0000000100000004000000005D8D6AB90000000000000002000000000000000700000000000000010000000000000003
+
+
+-- !query
+SELECT hex(count_min_sketch(t2d, 0.5d, seed => 1, confidence => 0.5d)) FROM t2
+-- !query schema
+struct<hex(count_min_sketch(t2d, 0.5, 0.5, 1)):string>
+-- !query output
+00000001000000000000000D0000000100000004000000005D8D6AB90000000000000002000000000000000700000000000000010000000000000003
+
+
+-- !query
+SELECT * FROM explode(collection => array(1, 2))
+-- !query schema
+struct<col:int>
+-- !query output
+1
+2
+
+
+-- !query
+SELECT * FROM explode_outer(collection => map('a', 1, 'b', 2))
+-- !query schema
+struct<key:string,value:int>
+-- !query output
+a	1
+b	2
+
+
+-- !query
+SELECT * FROM explode(array(1, 2)), explode(array(3, 4))
+-- !query schema
+struct<col:int,col:int>
+-- !query output
+1	3
+1	4
+2	3
+2	4
+
+
+-- !query
+SELECT * FROM explode(array(1, 2)) AS t, LATERAL explode(array(3 * t.col, 4 * t.col))
+-- !query schema
+struct<col:int,col:int>
+-- !query output
+1	3
+1	4
+2	6
+2	8
+
+
+-- !query
+SELECT num, val, 'Spark' FROM explode(map(1, 'a', 2, 'b')) AS t(num, val)
+-- !query schema
+struct<num:int,val:string,Spark:string>
+-- !query output
+1	a	Spark
+2	b	Spark
+
+
+-- !query
+SELECT * FROM explode(collection => explode(array(1)))
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS",
+  "sqlState" : "0A000",
+  "messageParameters" : {
+    "expression" : "\"explode(explode(array(1)))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 54,
+    "fragment" : "explode(collection => explode(array(1)))"
+  } ]
+}
+
+
+-- !query
+SELECT * FROM explode(collection => explode(collection => array(1)))
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS",
+  "sqlState" : "0A000",
+  "messageParameters" : {
+    "expression" : "\"explode(explode(array(1)))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 68,
+    "fragment" : "explode(collection => explode(collection => array(1)))"
+  } ]
+}
+
+
+-- !query
+CREATE OR REPLACE TEMPORARY VIEW v AS SELECT id FROM range(0, 8)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+SELECT * FROM explode(collection => TABLE(v))
+-- !query schema
 struct<>
 -- !query output
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+  "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(AbCD123-@$#, namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d))\""
+    "inputSql" : "\"outer(__auto_generated_subquery_name_0.c)\"",
+    "inputType" : "\"STRUCT<id: BIGINT>\"",
+    "paramIndex" : "1",
+    "requiredType" : "(\"ARRAY\" or \"MAP\")",
+    "sqlExpr" : "\"explode(outer(__auto_generated_subquery_name_0.c))\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 15,
+    "stopIndex" : 45,
+    "fragment" : "explode(collection => TABLE(v))"
+  } ]
+}
+
+
+-- !query
+SELECT mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNEXPECTED_POSITIONAL_ARGUMENT",
+  "sqlState" : "4274K",
+  "messageParameters" : {
+    "functionName" : "`mask`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
     "stopIndex" : 98,
-    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
+    "fragment" : "mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', digitChar => 'e')
 -- !query schema
 struct<>
 -- !query output
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.DOUBLE_NAMED_ARGUMENT_REFERENCE",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(Q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d), namedargumentexpression(AbCD123-@$#))\""
+    "functionName" : "`mask`",
+    "parameterName" : "`digitChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 105,
-    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbCD123-@$#')"
+    "stopIndex" : 116,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', digitChar => 'e')"
   } ]
 }
 
 
 -- !query
-SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbC')
 -- !query schema
 struct<>
 -- !query output
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT.BOTH_POSITIONAL_AND_NAMED",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(AbCD123-@$#, namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(d), NULL)\""
+    "functionName" : "`mask`",
+    "parameterName" : "`str`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 80,
-    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', digitChar => 'd')"
+    "stopIndex" : 112,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', str => 'AbC')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')
+SELECT mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
 -- !query schema
 struct<>
 -- !query output
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-  "sqlState" : "42K09",
+  "errorClass" : "REQUIRED_PARAMETER_NOT_FOUND",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "inputExpr" : "\"namedargumentexpression(Q)\"",
-    "inputName" : "upperChar",
-    "inputType" : "\"STRING\"",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), namedargumentexpression(Q), namedargumentexpression(d), namedargumentexpression(AbCD123-@$#), NULL)\""
+    "functionName" : "`mask`",
+    "parameterName" : "`str`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 87,
-    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', digitChar => 'd', str => 'AbCD123-@$#')"
+    "stopIndex" : 83,
+    "fragment" : "mask(lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
   } ]
 }
 
 
 -- !query
-SELECT mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')
+SELECT mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', cellular => 'automata')
 -- !query schema
 struct<>
 -- !query output
 org.apache.spark.sql.AnalysisException
 {
-  "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
-  "sqlState" : "42K09",
+  "errorClass" : "UNRECOGNIZED_PARAMETER_NAME",
+  "sqlState" : "4274K",
   "messageParameters" : {
-    "exprName" : "upperChar",
-    "sqlExpr" : "\"mask(namedargumentexpression(q), AbCD123-@$#, namedargumentexpression(Q), namedargumentexpression(o), namedargumentexpression(d))\""
+    "argumentName" : "`cellular`",
+    "functionName" : "`mask`",
+    "proposal" : "`str` `upperChar` `otherChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
     "objectName" : "",
     "startIndex" : 8,
-    "stopIndex" : 98,
-    "fragment" : "mask(lowerChar => 'q', 'AbCD123-@$#', upperChar => 'Q', otherChar => 'o', digitChar => 'd')"
+    "stopIndex" : 122,
+    "fragment" : "mask('AbCD123-@$#', lowerChar => 'q', upperChar => 'Q', otherChar => 'o', digitChar => 'd', cellular => 'automata')"
+  } ]
+}
+
+
+-- !query
+SELECT encode(str => 'a', charset => 'utf-8')
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "NAMED_PARAMETERS_NOT_SUPPORTED",
+  "sqlState" : "4274K",
+  "messageParameters" : {
+    "functionName" : "`encode`"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 45,
+    "fragment" : "encode(str => 'a', charset => 'utf-8')"
+  } ]
+}
+
+
+-- !query
+SELECT mask('AbCD123-@$#', 'Q', 'q', 'd', 'o', 'k')
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "WRONG_NUM_ARGS.WITHOUT_SUGGESTION",
+  "sqlState" : "42605",
+  "messageParameters" : {
+    "actualNum" : "6",
+    "docroot" : "https://spark.apache.org/docs/latest",
+    "expectedNum" : "[1, 2, 3, 4, 5]",
+    "functionName" : "`mask`"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 51,
+    "fragment" : "mask('AbCD123-@$#', 'Q', 'q', 'd', 'o', 'k')"
   } ]
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
index 2731760f7ef05..7ebb677b12158 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
@@ -32,16 +32,11 @@ class QueryParsingErrorsSuite extends QueryTest with SharedSparkSession with SQL
     intercept[ParseException](sql(sqlText).collect())
   }
 
-  test("NAMED_ARGUMENTS_SUPPORT_DISABLED: named arguments not turned on") {
+  test("NAMED_PARAMETER_SUPPORT_DISABLED: named arguments not turned on") {
     withSQLConf("spark.sql.allowNamedFunctionArguments" -> "false") {
-      checkError(
-        exception = parseException("SELECT * FROM encode(value => 'abc', charset => 'utf-8')"),
-        errorClass = "NAMED_ARGUMENTS_SUPPORT_DISABLED",
-        parameters = Map("functionName" -> toSQLId("encode"), "argument" -> toSQLId("value"))
-      )
       checkError(
         exception = parseException("SELECT explode(arr => array(10, 20))"),
-        errorClass = "NAMED_ARGUMENTS_SUPPORT_DISABLED",
+        errorClass = "NAMED_PARAMETER_SUPPORT_DISABLED",
         parameters = Map("functionName"-> toSQLId("explode"), "argument" -> toSQLId("arr"))
       )
     }

From 28eaa9c0861984d925098172ad08fa5d255ef8bc Mon Sep 17 00:00:00 2001
From: Harsh Motwani <harsh.motwani@databricks.com>
Date: Tue, 18 Jul 2023 11:03:19 +0800
Subject: [PATCH 005/986] [SPARK-44154][SQL] Added more unit tests to
 BitmapExpressionUtilsSuite and made minor improvements to Bitmap Aggregate
 Expressions

### What changes were proposed in this pull request?
I firstly added more unit tests for the `BITMAT_BIT_POSITION` and `BITMAP_BUCKET_NUMBER` expressions. Secondly, I made a minor improvement in the implementation of the `BITMAP_CONSTRUCT_AGG` and `BUTMAP_OR_AGG` expressions, where I converted `inputAggBufferAttributes` from a method to a value.

### Why are the changes needed?
The unit tests cover more corner cases. Having `inputAggBufferAttributes` as a value makes it so that the AttributeReferences aren't reinitialized every time `inputAggBufferAttributes` is referred to.

### How was this patch tested?
I reran all the tests for Bitmap expressions and they succeeded. The test suites were `BitmapExpressionUtilsSuite` and `BitmapExpressionsQuerySuite`.

Closes #42043 from harshmotw-db/harsh-dev.

Authored-by: Harsh Motwani <harsh.motwani@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit df550cfc3ad820448ed5040df94c2b32fb161290)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../expressions/bitmapExpressions.scala         | 16 ++++++++--------
 .../BitmapExpressionUtilsSuite.scala            | 17 +++++++++++------
 2 files changed, 19 insertions(+), 14 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
index 2c89428f24330..bd8f4efa059bf 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
@@ -177,17 +177,17 @@ case class BitmapConstructAgg(child: Expression,
 
   override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
 
+  // The aggregation buffer is a fixed size binary.
+  private val bitmapAttr = AttributeReference("bitmap", BinaryType, nullable = false)()
+
   override def aggBufferAttributes: Seq[AttributeReference] = bitmapAttr :: Nil
 
   override def defaultResult: Option[Literal] =
     Option(Literal(Array.fill[Byte](BitmapExpressionUtils.NUM_BYTES)(0)))
 
-  override def inputAggBufferAttributes: Seq[AttributeReference] =
+  override val inputAggBufferAttributes: Seq[AttributeReference] =
     aggBufferAttributes.map(_.newInstance())
 
-  // The aggregation buffer is a fixed size binary.
-  private val bitmapAttr = AttributeReference("bitmap", BinaryType, nullable = false)()
-
   override def initialize(buffer: InternalRow): Unit = {
     buffer.update(mutableAggBufferOffset, Array.fill[Byte](BitmapExpressionUtils.NUM_BYTES)(0))
   }
@@ -270,17 +270,17 @@ case class BitmapOrAgg(child: Expression,
 
   override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
 
+  // The aggregation buffer is a fixed size binary.
+  private val bitmapAttr = AttributeReference("bitmap", BinaryType, false)()
+
   override def aggBufferAttributes: Seq[AttributeReference] = bitmapAttr :: Nil
 
   override def defaultResult: Option[Literal] =
     Option(Literal(Array.fill[Byte](BitmapExpressionUtils.NUM_BYTES)(0)))
 
-  override def inputAggBufferAttributes: Seq[AttributeReference] =
+  override val inputAggBufferAttributes: Seq[AttributeReference] =
     aggBufferAttributes.map(_.newInstance())
 
-  // The aggregation buffer is a fixed size binary.
-  private val bitmapAttr = AttributeReference("bitmap", BinaryType, false)()
-
   override def initialize(buffer: InternalRow): Unit = {
     buffer.update(mutableAggBufferOffset, Array.fill[Byte](BitmapExpressionUtils.NUM_BYTES)(0))
   }
diff --git a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
index ee1f4026fedb8..53935c66c6136 100644
--- a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
+++ b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
@@ -22,23 +22,27 @@ import org.apache.spark.SparkFunSuite
 class BitmapExpressionUtilsSuite extends SparkFunSuite {
 
   test("bitmap_bucket_number with positive inputs") {
-    Seq((0L, 0L), (1L, 1L), (2L, 1L), (3L, 1L),
-      (32768L, 1L), (32769L, 2L), (32770L, 2L)).foreach {
+    Seq((0L, 0L), (1L, 1L), (2L, 1L), (3L, 1L), (65537L, 3L), (65536L, 2L), (3232423L, 99L),
+      (4538345L, 139L), (845894934L, 25815L), (2147483647L, 65536L),
+      (Long.MaxValue, 281474976710656L), (32768L, 1L), (32769L, 2L), (32770L, 2L)).foreach {
       case (input, expected) =>
         assert(BitmapExpressionUtils.bitmapBucketNumber(input) == expected)
     }
   }
 
   test("bitmap_bucket_number with negative inputs") {
-    Seq((-1L, 0L), (-2L, 0L), (-3L, 0L),
-      (-32767L, 0L), (-32768L, -1L), (-32769L, -1L)).foreach {
+    Seq((-1L, 0L), (-2L, 0L), (-3L, 0L), (-65536L, -2L), (65537L, 3L), (-65535L, -1L),
+      (-3843485L, -117L), (-2147483647L, -65535L), (-2147483648L, -65536L),
+      (Long.MinValue, -281474976710656L), (Long.MinValue + 1, -281474976710655L), (-32767L, 0L),
+      (-32768L, -1L), (-32769L, -1L)).foreach {
       case (input, expected) =>
         assert(BitmapExpressionUtils.bitmapBucketNumber(input) == expected)
     }
   }
 
   test("bitmap_bit_position with positive inputs") {
-    Seq((0L, 0L), (1L, 0L), (2L, 1L), (3L, 2L),
+    Seq((0L, 0L), (1L, 0L), (2L, 1L), (3L, 2L), (65537L, 0L), (65536L, 32767L), (3232423L, 21158L),
+      (4538345L, 16360L), (845894934L, 21781L), (2147483647L, 32766L), (Long.MaxValue, 32766L),
       (32768L, 32767L), (32769L, 0L), (32770L, 1L)).foreach {
       case (input, expected) =>
         assert(BitmapExpressionUtils.bitmapBitPosition(input) == expected)
@@ -46,7 +50,8 @@ class BitmapExpressionUtilsSuite extends SparkFunSuite {
   }
 
   test("bitmap_bit_position with negative inputs") {
-    Seq((-1L, 1L), (-2L, 2L), (-3L, 3L),
+    Seq((-1L, 1L), (-2L, 2L), (-3L, 3L), (-65536L, 0L), (-65535L, 32767L), (-3843485L, 9629L),
+      (-2147483647L, 32767L), (-2147483648L, 0L), (Long.MinValue, 0L), (Long.MinValue + 1, 32767L),
       (-32767L, 32767L), (-32768L, 0L), (-32769L, 1L)).foreach {
       case (input, expected) =>
         assert(BitmapExpressionUtils.bitmapBitPosition(input) == expected)

From bda0545e785b2c15db57b07b2b72b3a164d8a929 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 18 Jul 2023 14:50:21 +0900
Subject: [PATCH 006/986] [SPARK-44348][CONNECT][FOLLOW-UP] Avoid double
 slashes in the URI

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/41942 that does `substring(1)` to remove the leading slash so it makes it relative parts from URI. Otherwise, it can end up with having double slashes in the middle.

### Why are the changes needed?

To avoid having unnecessary double slashes  ... and save one byte :-)

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually tested. It's really trivial.

Closes #42051 from HyukjinKwon/minor-change.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index eafb444366209..048c6ebfa7489 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -442,7 +442,7 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     // `file` and `localhost` are not used. Just to prevent URI from parsing `fileName` as
     // scheme or host. The prefix "/" is required because URI doesn't accept a relative path.
     // We should remove it after we get the raw path.
-    encodeRelativeUnixPathToURIRawPath(fileName).substring(1)
+    encodeRelativeUnixPathToURIRawPath(fileName)
   }
 
   /**
@@ -453,7 +453,7 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     // `file` and `localhost` are not used. Just to prevent URI from parsing `fileName` as
     // scheme or host. The prefix "/" is required because URI doesn't accept a relative path.
     // We should remove it after we get the raw path.
-    new URI("file", null, "localhost", -1, "/" + path, null, null).getRawPath
+    new URI("file", null, "localhost", -1, "/" + path, null, null).getRawPath.substring(1)
   }
 
   /**

From c9bfcb9448b51985ad9a5361fbaaf828ad670cdc Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Tue, 18 Jul 2023 14:59:09 +0900
Subject: [PATCH 007/986] [SPARK-43967][PYTHON] Support regular Python UDTFs
 with empty return values

### What changes were proposed in this pull request?
This PR adds support for regular (non-arrow-optimized) Python UDTFs that return empty results, for example:
```
def eval(self):
    ...
```
or
```
def eval(self):
    yield
```
This feature is already available in arrow-optimized UDTFs.

### Why are the changes needed?
To align the behavior of regular Python UDTFs with arrow-optimized UDTFs.

### Does this PR introduce _any_ user-facing change?

Yes. After this PR, users can run regular Python UDTFs with empty return statement.

### How was this patch tested?

Existing UTs.

Closes #42044 from allisonwang-db/spark-43967-empty-return.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_udtf.py         | 35 ++-----------------
 python/pyspark/worker.py                      | 20 +++++++++--
 .../execution/python/EvalPythonUDTFExec.scala | 11 +++++-
 3 files changed, 30 insertions(+), 36 deletions(-)

diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index f109302dec512..ec3379accca60 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -164,17 +164,14 @@ class TestUDTF:
             def eval(self, a: int):
                 ...
 
-        # TODO(SPARK-43967): Support Python UDTFs with empty return values
-        with self.assertRaisesRegex(PythonException, "TypeError"):
-            TestUDTF(lit(1)).collect()
+        self.assertEqual(TestUDTF(lit(1)).collect(), [])
 
         @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
                 return
 
-        with self.assertRaisesRegex(PythonException, "TypeError"):
-            TestUDTF(lit(1)).collect()
+        self.assertEqual(TestUDTF(lit(1)).collect(), [])
 
     def test_udtf_with_conditional_return(self):
         class TestUDTF:
@@ -195,9 +192,7 @@ class TestUDTF:
             def eval(self, a: int):
                 yield
 
-        # TODO(SPARK-43967): Support Python UDTFs with empty return values
-        with self.assertRaisesRegex(Py4JJavaError, "java.lang.NullPointerException"):
-            TestUDTF(lit(1)).collect()
+        assertDataFrameEqual(TestUDTF(lit(1)), [Row(a=None)])
 
     def test_udtf_with_none_output(self):
         @udtf(returnType="a: int")
@@ -807,21 +802,6 @@ def eval(self, a: int):
         func = udtf(TestUDTF, returnType="a: int")
         self.assertEqual(func(lit(1)).collect(), [Row(a=1)])
 
-    def test_udtf_eval_with_no_return(self):
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                ...
-
-        self.assertEqual(TestUDTF(lit(1)).collect(), [])
-
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                return
-
-        self.assertEqual(TestUDTF(lit(1)).collect(), [])
-
     def test_udtf_terminate_with_wrong_num_output(self):
         # The error message for arrow-optimized UDTF is different from regular UDTF.
         err_msg = "The number of columns in the result does not match the specified schema."
@@ -848,15 +828,6 @@ def terminate(self):
         with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).show()
 
-    def test_udtf_with_empty_yield(self):
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield
-
-        # Arrow-optimized UDTF can support this.
-        self.assertEqual(TestUDTF(lit(1)).collect(), [Row(a=None)])
-
     def test_udtf_with_wrong_num_output(self):
         # The error message for arrow-optimized UDTF is different.
         err_msg = "The number of columns in the result does not match the specified schema."
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 8c12312da27bc..2445b46970cdd 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -579,7 +579,21 @@ def mapper(_, it):
         def wrap_udtf(f, return_type):
             assert return_type.needConversion()
             toInternal = return_type.toInternal
-            return lambda *a: map(toInternal, f(*a))
+
+            # Evaluate the function and return a tuple back to the executor.
+            def evaluate(*a) -> tuple:
+                res = f(*a)
+                if res is None:
+                    # If the function returns None or does not have an explicit return statement,
+                    # an empty tuple is returned to the executor.
+                    # This is because directly constructing tuple(None) results in an exception.
+                    return tuple()
+                else:
+                    # If the function returns a result, we map it to the internal representation and
+                    # returns the results as a tuple.
+                    return tuple(map(toInternal, res))
+
+            return evaluate
 
         eval = wrap_udtf(getattr(udtf, "eval"), return_type)
 
@@ -592,11 +606,11 @@ def wrap_udtf(f, return_type):
         def mapper(_, it):
             try:
                 for a in it:
-                    yield tuple(eval(*[a[o] for o in arg_offsets]))
+                    yield eval(*[a[o] for o in arg_offsets])
             finally:
                 if terminate is not None:
                     try:
-                        yield tuple(terminate())
+                        yield terminate()
                     except BaseException as e:
                         raise PySparkRuntimeError(
                             error_class="UDTF_EXEC_ERROR",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonUDTFExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonUDTFExec.scala
index 827b2fc2bb395..fab417a0f86fa 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonUDTFExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonUDTFExec.scala
@@ -103,6 +103,7 @@ trait EvalPythonUDTFExec extends UnaryExecNode {
         }
 
       val joined = new JoinedRow
+      val nullRow = new GenericInternalRow(udtf.elementSchema.length)
       val resultProj = UnsafeProjection.create(output, output)
 
       outputRowIterator.flatMap { outputRows =>
@@ -118,7 +119,15 @@ trait EvalPythonUDTFExec extends UnaryExecNode {
         // from the UDTF are from the `terminate()` call. We leave the left side as the last
         // element of its child output to keep it consistent with the Generate implementation
         // and Hive UDTFs.
-        outputRows.map(r => resultProj(joined.withRight(r)))
+        outputRows.map { r =>
+          // When the UDTF's result is None, such as `def eval(): yield`,
+          // we join it with a null row to avoid NullPointerException.
+          if (r == null) {
+            resultProj(joined.withRight(nullRow))
+          } else {
+            resultProj(joined.withRight(r))
+          }
+        }
       }
     }
   }

From cd312e70a775013f844a55b965aa18eef4185442 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <yuanjian.li@databricks.com>
Date: Tue, 18 Jul 2023 17:14:44 +0900
Subject: [PATCH 008/986] [SPARK-44471][INFRA][BRANCH-3.5] Add Github action
 test job for branch-3.5

### What changes were proposed in this pull request?
Add Github action test job for branch-3.5

### Why are the changes needed?
Daily test for branch-3.5

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Daily build for branch 3.5

Closes #42057 from xuanyuanking/SPARK-44471-3.5.

Lead-authored-by: Yuanjian Li <yuanjian.li@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .github/workflows/build_and_test.yml | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 98da34f7cdef1..f5a109d95de5f 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -30,8 +30,7 @@ on:
         description: Branch to run the build against
         required: false
         type: string
-        # Change 'master' to 'branch-3.5' in branch-3.5 branch after cutting it.
-        default: master
+        default: branch-3.5
       hadoop:
         description: Hadoop version to run with. HADOOP_PROFILE environment variable should accept it.
         required: false

From 80dee3c955943f26d79c75fd68456a6ba44ad6f1 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 18 Jul 2023 17:31:51 +0900
Subject: [PATCH 009/986] [SPARK-43923][CONNECT][FOLLOW-UP][TESTS] Skip "Test
 observe response" at SparkConnectServiceSuite

This PR skips "Test observe response" at SparkConnectServiceSuite for now.

To unblock other PRs.

No, dev-only.

Skipped unittests

Closes #42059 from HyukjinKwon/SPARK-43923-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 32b7b58114d8dc828f20990921f0cd6067157d55)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/connect/planner/SparkConnectServiceSuite.scala   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index 498084efb8f3f..cfa37b86cd41a 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -564,7 +564,8 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
     }
   }
 
-  test("Test observe response") {
+  // TODO(SPARK-44474): Reenable Test observe response at SparkConnectServiceSuite
+  ignore("Test observe response") {
     // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
     assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("test") {

From 799f70477fbff1ba26481c87bb7f7c6cfe55d026 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 18 Jul 2023 17:39:56 +0800
Subject: [PATCH 010/986] [SPARK-43203][SQL][FOLLOWUP]
 V2SessionCatalog.dropTable should handle null table

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41348 . Previously `V2SessionCatalog.dropTable` treated null table as table not exists, but #41348 broke it. This PR fixes it.

### Why are the changes needed?

to keep old behavior.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

existing tests

Closes #42056 from cloud-fan/mm.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 704131b13f88004a587d5959094147fc9f4c4b73)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../datasources/v2/V2SessionCatalog.scala     | 22 ++++++++++---------
 1 file changed, 12 insertions(+), 10 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
index e5496a4676015..f311ccbb6309d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
@@ -115,10 +115,6 @@ class V2SessionCatalog(catalog: SessionCatalog)
     createTable(ident, CatalogV2Util.v2ColumnsToStructType(columns), partitions, properties)
   }
 
-  override def purgeTable(ident: Identifier): Boolean = {
-    dropTableInternal(ident, purge = true)
-  }
-
   // TODO: remove it when no tests calling this deprecated method.
   override def createTable(
       ident: Identifier,
@@ -202,6 +198,10 @@ class V2SessionCatalog(catalog: SessionCatalog)
     loadTable(ident)
   }
 
+  override def purgeTable(ident: Identifier): Boolean = {
+    dropTableInternal(ident, purge = true)
+  }
+
   override def dropTable(ident: Identifier): Boolean = {
     dropTableInternal(ident)
   }
@@ -218,14 +218,16 @@ class V2SessionCatalog(catalog: SessionCatalog)
             foundType = v1Table.tableType.name,
             alternative = "DROP VIEW"
           )
+        case null =>
+          false
         case _ =>
+          catalog.invalidateCachedTable(ident.asTableIdentifier)
+          catalog.dropTable(
+            ident.asTableIdentifier,
+            ignoreIfNotExists = true,
+            purge = purge)
+          true
       }
-      catalog.invalidateCachedTable(ident.asTableIdentifier)
-      catalog.dropTable(
-        ident.asTableIdentifier,
-        ignoreIfNotExists = true,
-        purge = purge)
-      true
     } catch {
       case _: NoSuchTableException =>
         false

From e718d0d4dc57f9e0ecdb7067ee9778250200fe83 Mon Sep 17 00:00:00 2001
From: Siying Dong <siying.dong@databricks.com>
Date: Wed, 19 Jul 2023 07:39:11 +0900
Subject: [PATCH 011/986] [SPARK-44464][SS] Implement applyInPandasWithState in
 PySpark

### What changes were proposed in this pull request?
Change the serialization format for group-by-with-state outputs: include an explicit hidden column indicating how many data and state records there are.

### Why are the changes needed?
The current implementation of ApplyInPandasWithStatePythonRunner cannot deal with outputs where the first column of the row is null, as it cannot distinguish the case where the column is null, or the field is filled as the number of data records are smaller than state records. It causes incorrect results for the former case.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Add unit tests that cover null cases and different other scenarios.

Closes #42046 from siying/pypanda.

Authored-by: Siying Dong <siying.dong@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 6cebd97f4670e1e998b0064ddf4db11050fe52dd)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 python/pyspark/sql/pandas/serializers.py      |  43 ++++++-
 ...st_parity_pandas_grouped_map_with_state.py |  20 +++
 .../test_pandas_grouped_map_with_state.py     | 114 ++++++++++++++++--
 .../ApplyInPandasWithStatePythonRunner.scala  |  84 +++++++------
 4 files changed, 208 insertions(+), 53 deletions(-)

diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index f835ea57b7751..f22a73cbbef3b 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -27,7 +27,15 @@
     _create_converter_from_pandas,
     _create_converter_to_pandas,
 )
-from pyspark.sql.types import DataType, StringType, StructType, BinaryType, StructField, LongType
+from pyspark.sql.types import (
+    DataType,
+    StringType,
+    StructType,
+    BinaryType,
+    StructField,
+    LongType,
+    IntegerType,
+)
 
 
 class SpecialLengths:
@@ -603,6 +611,15 @@ def __init__(
         self.utf8_deserializer = UTF8Deserializer()
         self.state_object_schema = state_object_schema
 
+        self.result_count_df_type = StructType(
+            [
+                StructField("dataCount", IntegerType()),
+                StructField("stateCount", IntegerType()),
+            ]
+        )
+
+        self.result_count_pdf_arrow_type = to_arrow_type(self.result_count_df_type)
+
         self.result_state_df_type = StructType(
             [
                 StructField("properties", StringType()),
@@ -799,16 +816,26 @@ def construct_state_pdf(state):
         def construct_record_batch(pdfs, pdf_data_cnt, pdf_schema, state_pdfs, state_data_cnt):
             """
             Construct a new Arrow RecordBatch based on output pandas DataFrames and states. Each
-            one matches to the single struct field for Arrow schema, hence the return value of
-            Arrow RecordBatch will have schema with two fields, in `data`, `state` order.
+            one matches to the single struct field for Arrow schema. We also need an extra one to
+            indicate array length for data and state, so the return value of Arrow RecordBatch will
+            have schema with three fields, in `count`, `data`, `state` order.
             (Readers are expected to access the field via position rather than the name. We do
             not guarantee the name of the field.)
 
             Note that Arrow RecordBatch requires all columns to have all same number of rows,
-            hence this function inserts empty data for state/data with less elements to compensate.
+            hence this function inserts empty data for count/state/data with less elements to
+            compensate.
             """
 
-            max_data_cnt = max(pdf_data_cnt, state_data_cnt)
+            max_data_cnt = max(1, max(pdf_data_cnt, state_data_cnt))
+
+            # We only use the first row in the count column, and fill other rows to be the same
+            # value, hoping it is more friendly for compression, in case it is needed.
+            count_dict = {
+                "dataCount": [pdf_data_cnt] * max_data_cnt,
+                "stateCount": [state_data_cnt] * max_data_cnt,
+            }
+            count_pdf = pd.DataFrame.from_dict(count_dict)
 
             empty_row_cnt_in_data = max_data_cnt - pdf_data_cnt
             empty_row_cnt_in_state = max_data_cnt - state_data_cnt
@@ -829,7 +856,11 @@ def construct_record_batch(pdfs, pdf_data_cnt, pdf_schema, state_pdfs, state_dat
             merged_state_pdf = pd.concat(state_pdfs, ignore_index=True)
 
             return self._create_batch(
-                [(merged_pdf, pdf_schema), (merged_state_pdf, self.result_state_pdf_arrow_type)]
+                [
+                    (count_pdf, self.result_count_pdf_arrow_type),
+                    (merged_pdf, pdf_schema),
+                    (merged_state_pdf, self.result_state_pdf_arrow_type),
+                ]
             )
 
         def serialize_batches():
diff --git a/python/pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py b/python/pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py
index 3a38cd17406ce..dc3bdf28f81c8 100644
--- a/python/pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py
+++ b/python/pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py
@@ -29,6 +29,26 @@ class GroupedApplyInPandasWithStateTests(
     def test_apply_in_pandas_with_state_basic(self):
         super().test_apply_in_pandas_with_state_basic()
 
+    @unittest.skip("foreachBatch will be supported in SPARK-42944.")
+    def test_apply_in_pandas_with_state_basic_no_state(self):
+        super().test_apply_in_pandas_with_state_basic()
+
+    @unittest.skip("foreachBatch will be supported in SPARK-42944.")
+    def test_apply_in_pandas_with_state_basic_no_state_no_data(self):
+        super().test_apply_in_pandas_with_state_basic()
+
+    @unittest.skip("foreachBatch will be supported in SPARK-42944.")
+    def test_apply_in_pandas_with_state_basic_more_data(self):
+        super().test_apply_in_pandas_with_state_basic()
+
+    @unittest.skip("foreachBatch will be supported in SPARK-42944.")
+    def test_apply_in_pandas_with_state_basic_fewer_data(self):
+        super().test_apply_in_pandas_with_state_basic()
+
+    @unittest.skip("foreachBatch will be supported in SPARK-42944.")
+    def test_apply_in_pandas_with_state_basic_with_null(self):
+        super().test_apply_in_pandas_with_state_basic()
+
 
 if __name__ == "__main__":
     from pyspark.sql.tests.connect.test_parity_pandas_grouped_map_with_state import *  # noqa: F401
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_grouped_map_with_state.py b/python/pyspark/sql/tests/pandas/test_pandas_grouped_map_with_state.py
index a2a6544faa0fd..e1ec97928f72b 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_grouped_map_with_state.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_grouped_map_with_state.py
@@ -60,7 +60,7 @@ def conf(cls):
         cfg.set("spark.sql.shuffle.partitions", "5")
         return cfg
 
-    def test_apply_in_pandas_with_state_basic(self):
+    def _test_apply_in_pandas_with_state_basic(self, func, check_results):
         input_path = tempfile.mkdtemp()
 
         def prepare_test_resource():
@@ -81,6 +81,22 @@ def prepare_test_resource():
         )
         state_type = StructType([StructField("c", LongType())])
 
+        q = (
+            df.groupBy(df["value"])
+            .applyInPandasWithState(
+                func, output_type, state_type, "Update", GroupStateTimeout.NoTimeout
+            )
+            .writeStream.queryName("this_query")
+            .foreachBatch(check_results)
+            .outputMode("update")
+            .start()
+        )
+
+        self.assertEqual(q.name, "this_query")
+        self.assertTrue(q.isActive)
+        q.processAllAvailable()
+
+    def test_apply_in_pandas_with_state_basic(self):
         def func(key, pdf_iter, state):
             assert isinstance(state, GroupState)
 
@@ -98,20 +114,92 @@ def check_results(batch_df, _):
                 {Row(key="hello", countAsString="1"), Row(key="this", countAsString="1")},
             )
 
-        q = (
-            df.groupBy(df["value"])
-            .applyInPandasWithState(
-                func, output_type, state_type, "Update", GroupStateTimeout.NoTimeout
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
+
+    def test_apply_in_pandas_with_state_basic_no_state(self):
+        def func(key, pdf_iter, state):
+            assert isinstance(state, GroupState)
+            # 2 data rows
+            yield pd.DataFrame({"key": [key[0], "foo"], "countAsString": ["100", "222"]})
+
+        def check_results(batch_df, _):
+            self.assertEqual(
+                set(batch_df.sort("key").collect()),
+                {
+                    Row(key="hello", countAsString="100"),
+                    Row(key="this", countAsString="100"),
+                    Row(key="foo", countAsString="222"),
+                },
             )
-            .writeStream.queryName("this_query")
-            .foreachBatch(check_results)
-            .outputMode("update")
-            .start()
-        )
 
-        self.assertEqual(q.name, "this_query")
-        self.assertTrue(q.isActive)
-        q.processAllAvailable()
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
+
+    def test_apply_in_pandas_with_state_basic_no_state_no_data(self):
+        def func(key, pdf_iter, state):
+            assert isinstance(state, GroupState)
+            # 2 data rows
+            yield pd.DataFrame({"key": [], "countAsString": []})
+
+        def check_results(batch_df, _):
+            self.assertTrue(len(set(batch_df.sort("key").collect())) == 0)
+
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
+
+    def test_apply_in_pandas_with_state_basic_more_data(self):
+        # Test data rows returned are more or fewer than state.
+        def func(key, pdf_iter, state):
+            state.update((1,))
+            assert isinstance(state, GroupState)
+            # 3 rows
+            yield pd.DataFrame(
+                {"key": [key[0], "foo", key[0] + "_2"], "countAsString": ["1", "666", "2"]}
+            )
+
+        def check_results(batch_df, _):
+            self.assertEqual(
+                set(batch_df.sort("key").collect()),
+                {
+                    Row(key="hello", countAsString="1"),
+                    Row(key="foo", countAsString="666"),
+                    Row(key="hello_2", countAsString="2"),
+                    Row(key="this", countAsString="1"),
+                    Row(key="this_2", countAsString="2"),
+                },
+            )
+
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
+
+    def test_apply_in_pandas_with_state_basic_fewer_data(self):
+        # Test data rows returned are more or fewer than state.
+        def func(key, pdf_iter, state):
+            state.update((1,))
+            assert isinstance(state, GroupState)
+            yield pd.DataFrame({"key": [], "countAsString": []})
+
+        def check_results(batch_df, _):
+            self.assertTrue(len(set(batch_df.sort("key").collect())) == 0)
+
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
+
+    def test_apply_in_pandas_with_state_basic_with_null(self):
+        def func(key, pdf_iter, state):
+            assert isinstance(state, GroupState)
+
+            total_len = 0
+            for pdf in pdf_iter:
+                total_len += len(pdf)
+
+            state.update((total_len,))
+            assert state.get[0] == 1
+            yield pd.DataFrame({"key": [None], "countAsString": [str(total_len)]})
+
+        def check_results(batch_df, _):
+            self.assertEqual(
+                set(batch_df.sort("key").collect()),
+                {Row(key=None, countAsString="1")},
+            )
+
+        self._test_apply_in_pandas_with_state_basic(func, check_results)
 
     def test_apply_in_pandas_with_state_python_worker_random_failure(self):
         input_path = tempfile.mkdtemp()
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ApplyInPandasWithStatePythonRunner.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ApplyInPandasWithStatePythonRunner.scala
index 9fc6ae04e94c7..d4c535fe76a3e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ApplyInPandasWithStatePythonRunner.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ApplyInPandasWithStatePythonRunner.scala
@@ -34,7 +34,7 @@ import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.UnsafeRow
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.metric.SQLMetric
-import org.apache.spark.sql.execution.python.ApplyInPandasWithStatePythonRunner.{InType, OutType, OutTypeForState, STATE_METADATA_SCHEMA_FROM_PYTHON_WORKER}
+import org.apache.spark.sql.execution.python.ApplyInPandasWithStatePythonRunner.{COUNT_COLUMN_SCHEMA_FROM_PYTHON_WORKER, InType, OutType, OutTypeForState, STATE_METADATA_SCHEMA_FROM_PYTHON_WORKER}
 import org.apache.spark.sql.execution.python.ApplyInPandasWithStateWriter.STATE_METADATA_SCHEMA
 import org.apache.spark.sql.execution.streaming.GroupStateImpl
 import org.apache.spark.sql.internal.SQLConf
@@ -155,7 +155,24 @@ class ApplyInPandasWithStatePythonRunner(
     // data and state metadata have same number of rows, which is required by Arrow record
     // batch.
     assert(batch.numRows() > 0)
-    assert(schema.length == 2)
+    assert(schema.length == 3)
+
+    def getValueFromCountColumn(batch: ColumnarBatch): (Int, Int) = {
+      //  UDF returns a StructType column in ColumnarBatch, select the children here
+      val structVector = batch.column(0).asInstanceOf[ArrowColumnVector]
+      val dataType = schema(0).dataType.asInstanceOf[StructType]
+      assert(
+        DataTypeUtils.sameType(dataType, COUNT_COLUMN_SCHEMA_FROM_PYTHON_WORKER),
+        s"Schema equality check failure! type from Arrow: $dataType, " +
+        s"expected type: $COUNT_COLUMN_SCHEMA_FROM_PYTHON_WORKER"
+      )
+
+      // NOTE: See ApplyInPandasWithStatePythonRunner.COUNT_COLUMN_SCHEMA_FROM_PYTHON_WORKER
+      // for the schema.
+      val dataCount = structVector.getChild(0).getInt(0)
+      val stateCount = structVector.getChild(1).getInt(0)
+      (dataCount, stateCount)
+    }
 
     def getColumnarBatchForStructTypeColumn(
         batch: ColumnarBatch,
@@ -174,51 +191,43 @@ class ApplyInPandasWithStatePythonRunner(
       flattenedBatch
     }
 
-    def constructIterForData(batch: ColumnarBatch): Iterator[InternalRow] = {
-      val dataBatch = getColumnarBatchForStructTypeColumn(batch, 0, outputSchema)
-      dataBatch.rowIterator.asScala.flatMap { row =>
-        if (row.isNullAt(0)) {
-          // The entire row in record batch seems to be for state metadata.
-          None
-        } else {
-          Some(row)
-        }
+
+    def constructIterForData(batch: ColumnarBatch, numRows: Int): Iterator[InternalRow] = {
+      val dataBatch = getColumnarBatchForStructTypeColumn(batch, 1, outputSchema)
+      dataBatch.rowIterator.asScala.take(numRows).flatMap { row =>
+        Some(row)
       }
     }
 
-    def constructIterForState(batch: ColumnarBatch): Iterator[OutTypeForState] = {
-      val stateMetadataBatch = getColumnarBatchForStructTypeColumn(batch, 1,
+    def constructIterForState(batch: ColumnarBatch, numRows: Int): Iterator[OutTypeForState] = {
+      val stateMetadataBatch = getColumnarBatchForStructTypeColumn(batch, 2,
         STATE_METADATA_SCHEMA_FROM_PYTHON_WORKER)
 
-      stateMetadataBatch.rowIterator().asScala.flatMap { row =>
+      stateMetadataBatch.rowIterator().asScala.take(numRows).flatMap { row =>
         implicit val formats = org.json4s.DefaultFormats
 
-        if (row.isNullAt(0)) {
-          // The entire row in record batch seems to be for data.
+        // NOTE: See ApplyInPandasWithStatePythonRunner.STATE_METADATA_SCHEMA_FROM_PYTHON_WORKER
+        // for the schema.
+        val propertiesAsJson = parse(row.getUTF8String(0).toString)
+        val keyRowAsUnsafeAsBinary = row.getBinary(1)
+        val keyRowAsUnsafe = new UnsafeRow(keySchema.fields.length)
+        keyRowAsUnsafe.pointTo(keyRowAsUnsafeAsBinary, keyRowAsUnsafeAsBinary.length)
+        val maybeObjectRow = if (row.isNullAt(2)) {
           None
         } else {
-          // NOTE: See ApplyInPandasWithStatePythonRunner.STATE_METADATA_SCHEMA_FROM_PYTHON_WORKER
-          // for the schema.
-          val propertiesAsJson = parse(row.getUTF8String(0).toString)
-          val keyRowAsUnsafeAsBinary = row.getBinary(1)
-          val keyRowAsUnsafe = new UnsafeRow(keySchema.fields.length)
-          keyRowAsUnsafe.pointTo(keyRowAsUnsafeAsBinary, keyRowAsUnsafeAsBinary.length)
-          val maybeObjectRow = if (row.isNullAt(2)) {
-            None
-          } else {
-            val pickledStateValue = row.getBinary(2)
-            Some(PythonSQLUtils.toJVMRow(pickledStateValue, stateValueSchema,
-              stateRowDeserializer))
-          }
-          val oldTimeoutTimestamp = row.getLong(3)
-
-          Some((keyRowAsUnsafe, GroupStateImpl.fromJson(maybeObjectRow, propertiesAsJson),
-            oldTimeoutTimestamp))
+          val pickledStateValue = row.getBinary(2)
+          Some(PythonSQLUtils.toJVMRow(pickledStateValue, stateValueSchema,
+            stateRowDeserializer))
         }
+        val oldTimeoutTimestamp = row.getLong(3)
+
+        Some((keyRowAsUnsafe, GroupStateImpl.fromJson(maybeObjectRow, propertiesAsJson),
+          oldTimeoutTimestamp))
       }
     }
 
-    (constructIterForState(batch), constructIterForData(batch))
+    val (dataCount, stateCount) = getValueFromCountColumn(batch)
+    (constructIterForState(batch, stateCount), constructIterForData(batch, dataCount))
   }
 }
 
@@ -235,4 +244,11 @@ object ApplyInPandasWithStatePythonRunner {
       StructField("oldTimeoutTimestamp", LongType)
     )
   )
+  val COUNT_COLUMN_SCHEMA_FROM_PYTHON_WORKER: StructType = StructType(
+    Array(
+      StructField("dataCount", IntegerType),
+      StructField("stateCount", IntegerType)
+    )
+  )
+
 }

From 5bfaa71d7bc63a19c73bc0208eccf1d68dbf6ac7 Mon Sep 17 00:00:00 2001
From: Raghu Angadi <raghu.angadi@databricks.com>
Date: Wed, 19 Jul 2023 09:04:05 +0900
Subject: [PATCH 012/986] [SPARK-42944][SS][PYTHON] Streaming ForeachBatch in
 Python

Adds `foreachBatch()` in Python. This adds a new runner `StreamingPythonRunner`.
Note that this PR focuses on core functionality and includes TODO for followup improvements (will update with jira tickets where missing).

Included more inline comments to help with the review.

### What changes were proposed in this pull request?
Adds support for foreachBatch() in Spark connect.

### Why are the changes needed?
  - Manual tests
  - Unit tests:
     - The tests are updated to use a global temp view, rather than shared variable since connect version of the function runs on the server side.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

Closes #42035 from rangadi/feb-py.

Authored-by: Raghu Angadi <raghu.angadi@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d93f6d145142ec15a96b0a3bfbbaa044c4b725e9)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/streaming/StreamingQuerySuite.scala   |  2 +-
 .../connect/planner/SparkConnectPlanner.scala |  5 +-
 .../planner/StreamingForeachBatchHelper.scala | 70 +++++++++++++--
 .../spark/api/python/PythonRunner.scala       |  1 +
 .../api/python/PythonWorkerFactory.scala      |  9 +-
 .../api/python/StreamingPythonRunner.scala    | 88 +++++++++++++++++++
 python/pyspark/sql/connect/session.py         |  9 ++
 .../sql/connect/streaming/readwriter.py       | 12 +--
 .../test_parity_streaming_foreachBatch.py     | 44 ++++++++++
 .../streaming/test_streaming_foreachBatch.py  | 20 +++--
 python/pyspark/streaming_worker.py            | 78 ++++++++++++++++
 11 files changed, 311 insertions(+), 27 deletions(-)
 create mode 100644 core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
 create mode 100644 python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py
 create mode 100644 python/pyspark/streaming_worker.py

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
index 1287176d76e88..91d744b9e4863 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
@@ -335,7 +335,7 @@ class StreamingQuerySuite extends QueryTest with SQLHelper with Logging {
         .start()
 
       eventually(timeout(30.seconds)) { // Wait for first progress.
-        assert(q.lastProgress != null)
+        assert(q.lastProgress != null, "Failed to make progress")
         assert(q.lastProgress.numInputRows > 0)
       }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 39cb4c1b972b1..92a9524f67aaf 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -2792,7 +2792,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     if (writeOp.hasForeachBatch) {
       val foreachBatchFn = writeOp.getForeachBatch.getFunctionCase match {
         case StreamingForeachFunction.FunctionCase.PYTHON_FUNCTION =>
-          throw InvalidPlanInput("Python ForeachBatch is not supported yet. WIP.")
+          val pythonFn = transformPythonFunction(writeOp.getForeachBatch.getPythonFunction)
+          StreamingForeachBatchHelper.pythonForeachBatchWrapper(pythonFn, sessionHolder)
 
         case StreamingForeachFunction.FunctionCase.SCALA_FUNCTION =>
           val scalaFn = Utils.deserialize[StreamingForeachBatchHelper.ForeachBatchFnType](
@@ -2801,7 +2802,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
           StreamingForeachBatchHelper.scalaForeachBatchWrapper(scalaFn, sessionHolder)
 
         case StreamingForeachFunction.FunctionCase.FUNCTION_NOT_SET =>
-          throw InvalidPlanInput("Unexpected")
+          throw InvalidPlanInput("Unexpected") // Unreachable
       }
 
       writer.foreachBatch(foreachBatchFn)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 66487e7048c08..3148139377767 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -18,9 +18,13 @@ package org.apache.spark.sql.connect.planner
 
 import java.util.UUID
 
+import org.apache.spark.api.python.PythonRDD
+import org.apache.spark.api.python.SimplePythonFunction
+import org.apache.spark.api.python.StreamingPythonRunner
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.connect.service.SessionHolder
+import org.apache.spark.sql.connect.service.SparkConnectService
 
 /**
  * A helper class for handling ForeachBatch related functionality in Spark Connect servers
@@ -29,23 +33,25 @@ object StreamingForeachBatchHelper extends Logging {
 
   type ForeachBatchFnType = (DataFrame, Long) => Unit
 
+  private case class FnArgsWithId(dfId: String, df: DataFrame, batchId: Long)
+
   /**
    * Return a new ForeachBatch function that wraps `fn`. It sets up DataFrame cache so that the
    * user function can access it. The cache is cleared once ForeachBatch returns.
    */
-  def dataFrameCachingWrapper(
-      fn: ForeachBatchFnType,
+  private def dataFrameCachingWrapper(
+      fn: FnArgsWithId => Unit,
       sessionHolder: SessionHolder): ForeachBatchFnType = { (df: DataFrame, batchId: Long) =>
     {
       val dfId = UUID.randomUUID().toString
       log.info(s"Caching DataFrame with id $dfId") // TODO: Add query id to the log.
 
-      // TODO: Sanity check there is no other active DataFrame for this query. Need to include
-      //       query id available in the cache for this check.
+      // TODO: Sanity check there is no other active DataFrame for this query. The query id
+      //       needs to be saved in the cache for this check.
 
       sessionHolder.cacheDataFrameById(dfId, df)
       try {
-        fn(df, batchId)
+        fn(FnArgsWithId(dfId, df, batchId))
       } finally {
         log.info(s"Removing DataFrame with id $dfId from the cache")
         sessionHolder.removeCachedDataFrame(dfId)
@@ -57,13 +63,61 @@ object StreamingForeachBatchHelper extends Logging {
    * Handles setting up Scala remote session and other Spark Connect environment and then runs the
    * provided foreachBatch function `fn`.
    *
-   * HACK ALERT: This version does not atually set up Spark connect. Directly passes the
-   * DataFrame, so the user code actually runs with legacy DataFrame.
+   * HACK ALERT: This version does not actually set up Spark Connect session. Directly passes the
+   * DataFrame, so the user code actually runs with legacy DataFrame and session..
    */
   def scalaForeachBatchWrapper(
       fn: ForeachBatchFnType,
       sessionHolder: SessionHolder): ForeachBatchFnType = {
     // TODO: Set up Spark Connect session. Do we actually need this for the first version?
-    dataFrameCachingWrapper(fn, sessionHolder)
+    dataFrameCachingWrapper(
+      (args: FnArgsWithId) => {
+        fn(args.df, args.batchId) // dfId is not used, see hack comment above.
+      },
+      sessionHolder)
   }
+
+  /**
+   * Starts up Python worker and initializes it with Python function. Returns a foreachBatch
+   * function that sets up the session and Dataframe cache and and interacts with the Python
+   * worker to execute user's function.
+   */
+  def pythonForeachBatchWrapper(
+      pythonFn: SimplePythonFunction,
+      sessionHolder: SessionHolder): ForeachBatchFnType = {
+
+    val port = SparkConnectService.localPort
+    val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
+    val runner = StreamingPythonRunner(pythonFn, connectUrl)
+    val (dataOut, dataIn) = runner.init(sessionHolder.sessionId)
+
+    val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
+
+      // TODO(SPARK-44460): Support Auth credentials
+      // TODO(SPARK-44462): A new session id pointing to args.df.sparkSession needs to be created.
+      //     This is because MicroBatch execution clones the session during start.
+      //     The session attached to the foreachBatch dataframe is different from the one the one
+      //     the query was started with. `sessionHolder` here contains the latter.
+
+      PythonRDD.writeUTF(args.dfId, dataOut)
+      dataOut.writeLong(args.batchId)
+      dataOut.flush()
+
+      val ret = dataIn.readInt()
+      log.info(s"Python foreach batch for dfId ${args.dfId} completed (ret: $ret)")
+    }
+
+    dataFrameCachingWrapper(foreachBatchRunnerFn, sessionHolder)
+  }
+
+  // TODO(SPARK-44433): Improve termination of Processes
+  //   The goal is that when a query is terminated, the python process asociated with foreachBatch
+  //   should be terminated. One way to do that is by registering stremaing query listener:
+  //   After pythonForeachBatchWrapper() is invoked by the SparkConnectPlanner.
+  //   At that time, we don't have the streaming queries yet.
+  //   Planner should call back into this helper with the query id when it starts it immediately
+  //   after. Save the query id to StreamingPythonRunner mapping. This mapping should be
+  //   part of the SessionHolder.
+  //   When a query is terminated, check the mapping and terminate any associated runner.
+  //   These runners should be terminated when a session is deleted (due to timeout, etc).
 }
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala
index ffb1098576814..2831ae74f5606 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala
@@ -799,6 +799,7 @@ private[spark] object SpecialLengths {
   val END_OF_STREAM = -4
   val NULL = -5
   val START_ARROW_STREAM = -6
+  val END_OF_MICRO_BATCH = -7
 }
 
 private[spark] object BarrierTaskContextMessageProtocol {
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
index 19181bd98e111..6039f8d232b4c 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
@@ -106,10 +106,15 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
       }
       createThroughDaemon()
     } else {
-      createSimpleWorker()
+      createSimpleWorker(workerModule)
     }
   }
 
+  /** Creates a Python worker with `pyspark.streaming_worker` module. */
+  def createStreamingWorker(): (Socket, Option[Int]) = {
+    createSimpleWorker("pyspark.streaming_worker")
+  }
+
   /**
    * Connect to a worker launched through pyspark/daemon.py (by default), which forks python
    * processes itself to avoid the high cost of forking from Java. This currently only works
@@ -150,7 +155,7 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
   /**
    * Launch a worker by executing worker.py (by default) directly and telling it to connect to us.
    */
-  private def createSimpleWorker(): (Socket, Option[Int]) = {
+  private def createSimpleWorker(workerModule: String): (Socket, Option[Int]) = {
     var serverSocket: ServerSocket = null
     try {
       serverSocket = new ServerSocket(0, 1, InetAddress.getLoopbackAddress())
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
new file mode 100644
index 0000000000000..77dc88e0cfa5d
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -0,0 +1,88 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.api.python
+
+import java.io.{BufferedInputStream, BufferedOutputStream, DataInputStream, DataOutputStream}
+import java.net.Socket
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.SparkEnv
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.BUFFER_SIZE
+import org.apache.spark.internal.config.Python.{PYTHON_AUTH_SOCKET_TIMEOUT, PYTHON_USE_DAEMON}
+
+
+private[spark] object StreamingPythonRunner {
+  def apply(func: PythonFunction, connectUrl: String): StreamingPythonRunner = {
+    new StreamingPythonRunner(func, connectUrl)
+  }
+}
+
+private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: String)
+  extends Logging {
+  private val conf = SparkEnv.get.conf
+  protected val bufferSize: Int = conf.get(BUFFER_SIZE)
+  protected val authSocketTimeout = conf.get(PYTHON_AUTH_SOCKET_TIMEOUT)
+
+  private val envVars: java.util.Map[String, String] = func.envVars
+  private val pythonExec: String = func.pythonExec
+  protected val pythonVer: String = func.pythonVer
+
+  /**
+   * Initializes the Python worker for streaming functions. Sets up Spark Connect session
+   * to be used with the functions.
+   */
+  def init(sessionId: String): (DataOutputStream, DataInputStream) = {
+    log.info(s"Initializing Python runner (session: $sessionId ,pythonExec: $pythonExec")
+
+    val env = SparkEnv.get
+
+    val localdir = env.blockManager.diskBlockManager.localDirs.map(f => f.getPath()).mkString(",")
+    envVars.put("SPARK_LOCAL_DIRS", localdir)
+
+    envVars.put("SPARK_AUTH_SOCKET_TIMEOUT", authSocketTimeout.toString)
+    envVars.put("SPARK_BUFFER_SIZE", bufferSize.toString)
+    conf.set(PYTHON_USE_DAEMON, false)
+    envVars.put("SPARK_CONNECT_LOCAL_URL", connectUrl)
+
+    val pythonWorkerFactory = new PythonWorkerFactory(pythonExec, envVars.asScala.toMap)
+    val (worker: Socket, _) = pythonWorkerFactory.createStreamingWorker()
+
+    val stream = new BufferedOutputStream(worker.getOutputStream, bufferSize)
+    val dataOut = new DataOutputStream(stream)
+
+    // TODO: verify python version
+
+    // Send sessionId
+    PythonRDD.writeUTF(sessionId, dataOut)
+
+    // send the user function to python process
+    val command = func.command
+    dataOut.writeInt(command.length)
+    dataOut.write(command.toArray)
+    dataOut.flush()
+
+    val dataIn = new DataInputStream(new BufferedInputStream(worker.getInputStream, bufferSize))
+
+    val resFromPython = dataIn.readInt()
+    log.info(s"Runner initialization returned $resFromPython")
+
+    (dataOut, dataIn)
+  }
+}
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 52eab1bf5f930..37a5bdd9f9fd7 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -58,6 +58,7 @@
     LogicalPlan,
     CachedLocalRelation,
     CachedRelation,
+    CachedRemoteRelation,
 )
 from pyspark.sql.connect.readwriter import DataFrameReader
 from pyspark.sql.connect.streaming import DataStreamReader, StreamingQueryManager
@@ -670,6 +671,14 @@ def copyFromLocalToFs(self, local_path: str, dest_path: str) -> None:
 
     copyFromLocalToFs.__doc__ = PySparkSession.copyFromLocalToFs.__doc__
 
+    def _createRemoteDataFrame(self, remote_id: str) -> "DataFrame":
+        """
+        In internal API to reference a runtime DataFrame on the server side.
+        This is used in ForeachBatch() runner, where the remote DataFrame refers to the
+        output of a micro batch.
+        """
+        return DataFrame.withPlan(CachedRemoteRelation(remote_id), self)
+
     @staticmethod
     def _start_connect_server(master: str, opts: Dict[str, Any]) -> None:
         """
diff --git a/python/pyspark/sql/connect/streaming/readwriter.py b/python/pyspark/sql/connect/streaming/readwriter.py
index 156a3ba87db43..c8cd408404f8f 100644
--- a/python/pyspark/sql/connect/streaming/readwriter.py
+++ b/python/pyspark/sql/connect/streaming/readwriter.py
@@ -32,7 +32,7 @@
     DataStreamWriter as PySparkDataStreamWriter,
 )
 from pyspark.sql.types import Row, StructType
-from pyspark.errors import PySparkTypeError, PySparkValueError, PySparkNotImplementedError
+from pyspark.errors import PySparkTypeError, PySparkValueError
 
 if TYPE_CHECKING:
     from pyspark.sql.connect.session import SparkSession
@@ -495,14 +495,14 @@ def foreach(self, f: Union[Callable[[Row], None], "SupportsProcess"]) -> "DataSt
 
     foreach.__doc__ = PySparkDataStreamWriter.foreach.__doc__
 
-    # TODO (SPARK-42944): Implement and uncomment the doc
     def foreachBatch(self, func: Callable[["DataFrame", int], None]) -> "DataStreamWriter":
-        raise PySparkNotImplementedError(
-            error_class="NOT_IMPLEMENTED",
-            message_parameters={"feature": "foreachBatch()"},
+        self._write_proto.foreach_batch.python_function.command = CloudPickleSerializer().dumps(
+            func
         )
+        self._write_proto.foreach_batch.python_function.python_ver = "%d.%d" % sys.version_info[:2]
+        return self
 
-    # foreachBatch.__doc__ = PySparkDataStreamWriter.foreachBatch.__doc__
+    foreachBatch.__doc__ = PySparkDataStreamWriter.foreachBatch.__doc__
 
     def _start_internal(
         self,
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py
new file mode 100644
index 0000000000000..c4aa936a43efe
--- /dev/null
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py
@@ -0,0 +1,44 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import unittest
+
+from pyspark.sql.tests.streaming.test_streaming_foreachBatch import StreamingTestsForeachBatchMixin
+from pyspark.testing.connectutils import ReusedConnectTestCase
+
+
+class StreamingForeachBatchParityTests(StreamingTestsForeachBatchMixin, ReusedConnectTestCase):
+    @unittest.skip("SPARK-44463: Error handling needs improvement in connect foreachBatch")
+    def test_streaming_foreachBatch_propagates_python_errors(self):
+        super().test_streaming_foreachBatch_propagates_python_errors
+
+    @unittest.skip("This seems specific to py4j and pinned threads. The intention is unclear")
+    def test_streaming_foreachBatch_graceful_stop(self):
+        super().test_streaming_foreachBatch_graceful_stop()
+
+
+if __name__ == "__main__":
+    import unittest
+    from pyspark.sql.tests.connect.streaming.test_parity_streaming_foreachBatch import *  # noqa: F401,E501
+
+    try:
+        import xmlrunner  # type: ignore[import]
+
+        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
+    except ImportError:
+        testRunner = None
+    unittest.main(testRunner=testRunner, verbosity=2)
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
index 7e5720e429990..d4e185c3d856d 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
@@ -20,40 +20,40 @@
 from pyspark.testing.sqlutils import ReusedSQLTestCase
 
 
-class StreamingTestsForeachBatch(ReusedSQLTestCase):
+class StreamingTestsForeachBatchMixin:
     def test_streaming_foreachBatch(self):
         q = None
-        collected = dict()
 
         def collectBatch(batch_df, batch_id):
-            collected[batch_id] = batch_df.collect()
+            batch_df.createOrReplaceGlobalTempView("test_view")
 
         try:
             df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
             q = df.writeStream.foreachBatch(collectBatch).start()
             q.processAllAvailable()
-            self.assertTrue(0 in collected)
-            self.assertTrue(len(collected[0]), 2)
+            collected = self.spark.sql("select * from global_temp.test_view").collect()
+            self.assertTrue(len(collected), 2)
         finally:
             if q:
                 q.stop()
 
     def test_streaming_foreachBatch_tempview(self):
         q = None
-        collected = dict()
 
         def collectBatch(batch_df, batch_id):
             batch_df.createOrReplaceTempView("updates")
             # it should use the spark session within given DataFrame, as microbatch execution will
             # clone the session which is no longer same with the session used to start the
             # streaming query
-            collected[batch_id] = batch_df.sparkSession.sql("SELECT * FROM updates").collect()
+            assert len(batch_df.sparkSession.sql("SELECT * FROM updates").collect()) == 2
+            # Write to a global view verify on the repl/client side.
+            batch_df.createOrReplaceGlobalTempView("temp_view")
 
         try:
             df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
             q = df.writeStream.foreachBatch(collectBatch).start()
             q.processAllAvailable()
-            self.assertTrue(0 in collected)
+            collected = self.spark.sql("SELECT * FROM global_temp.temp_view").collect()
             self.assertTrue(len(collected[0]), 2)
         finally:
             if q:
@@ -89,6 +89,10 @@ def func(batch_df, _):
         self.assertIsNone(q.exception(), "No exception has to be propagated.")
 
 
+class StreamingTestsForeachBatch(StreamingTestsForeachBatchMixin, ReusedSQLTestCase):
+    pass
+
+
 if __name__ == "__main__":
     import unittest
     from pyspark.sql.tests.streaming.test_streaming_foreachBatch import *  # noqa: F401
diff --git a/python/pyspark/streaming_worker.py b/python/pyspark/streaming_worker.py
new file mode 100644
index 0000000000000..490bae44d99f3
--- /dev/null
+++ b/python/pyspark/streaming_worker.py
@@ -0,0 +1,78 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+A worker for streaming foreachBatch and query listener in Spark Connect.
+"""
+import os
+
+from pyspark.java_gateway import local_connect_and_auth
+from pyspark.serializers import (
+    write_int,
+    read_long,
+    UTF8Deserializer,
+    CPickleSerializer,
+)
+from pyspark import worker
+from pyspark.sql import SparkSession
+
+pickleSer = CPickleSerializer()
+utf8_deserializer = UTF8Deserializer()
+
+
+def main(infile, outfile):  # type: ignore[no-untyped-def]
+    log_name = "Streaming ForeachBatch worker"
+    connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
+    sessionId = utf8_deserializer.loads(infile)
+
+    print(f"{log_name} is starting with url {connect_url} and sessionId {sessionId}.")
+
+    sparkConnectSession = SparkSession.builder.remote(connect_url).getOrCreate()
+    sparkConnectSession._client._session_id = sessionId
+
+    # TODO(SPARK-44460): Pass credentials.
+    # TODO(SPARK-44461): Enable Process Isolation
+
+    func = worker.read_command(pickleSer, infile)
+    write_int(0, outfile)  # Indicate successful initialization
+
+    outfile.flush()
+
+    def process(dfId, batchId):  # type: ignore[no-untyped-def]
+        print(f"{log_name} Started batch {batchId} with DF id {dfId}")
+        batchDf = sparkConnectSession._createRemoteDataFrame(dfId)
+        func(batchDf, batchId)
+        print(f"{log_name} Completed batch {batchId} with DF id {dfId}")
+
+    while True:
+        dfRefId = utf8_deserializer.loads(infile)
+        batchId = read_long(infile)
+        process(dfRefId, int(batchId))  # TODO(SPARK-44463): Propagate error to the user.
+        write_int(0, outfile)
+        outfile.flush()
+
+
+if __name__ == "__main__":
+    print("Starting streaming worker")
+
+    # Read information about how to connect back to the JVM from the environment.
+    java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"])
+    auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"]
+    (sock_file, _) = local_connect_and_auth(java_port, auth_secret)
+    write_int(os.getpid(), sock_file)
+    sock_file.flush()
+    main(sock_file, sock_file)

From b831d826ba8443ca6195704218045dceae632d97 Mon Sep 17 00:00:00 2001
From: vicennial <venkata.gudesa@databricks.com>
Date: Wed, 19 Jul 2023 09:36:51 +0900
Subject: [PATCH 013/986] [SPARK-44476][CORE][CONNECT] Fix population of
 artifacts for a JobArtifactState with no associated artifacts

### What changes were proposed in this pull request?

When a `JobArtifactSet` is created form a specific `JobArtifactState`, an empty collection of files/jars/archives is returned if there have previously been no associated artifacts of that specific type rather than all files/jars/archives.

### Why are the changes needed?

Consider each artifact type - files/jars/archives. For each artifact type, the following bug exists:

1. Initialise a `JobArtifactState` with no artifacts added to it.
2. Create a  `JobArtifactSet` from the `JobArtifactState`.
3. Add an artifact with the same active `JobArtifactState`.
4. Create another `JobArtifactSet`

In the current behaviour, the set created in step 2 contains all existing artifacts of that type (through `sc.allAddedFiles` for example) while step 4 would only contain the single artifact added in step 3.

### Does this PR introduce _any_ user-facing change?

No. (Bug-fix addresses the previously incorrect user behaviour)

### How was this patch tested?

New unit test in `JobArtifactSetSuite`.

Closes #42062 from vicennial/SPARK-44476.

Authored-by: vicennial <venkata.gudesa@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 98de9a0ad46086bfad5d89a66540a24e39d2f029)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/JobArtifactSet.scala     |  6 ++--
 .../apache/spark/JobArtifactSetSuite.scala    | 36 +++++++++++++++++++
 2 files changed, 39 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/JobArtifactSet.scala b/core/src/main/scala/org/apache/spark/JobArtifactSet.scala
index 54922f5783af0..c304e15f35889 100644
--- a/core/src/main/scala/org/apache/spark/JobArtifactSet.scala
+++ b/core/src/main/scala/org/apache/spark/JobArtifactSet.scala
@@ -110,13 +110,13 @@ private[spark] object JobArtifactSet {
     new JobArtifactSet(
       state = maybeState,
       jars = maybeState
-        .map(s => sc.addedJars.getOrElse(s.uuid, sc.allAddedJars))
+        .map(s => sc.addedJars.getOrElse(s.uuid, Map.empty[String, Long]))
         .getOrElse(sc.allAddedJars).toMap,
       files = maybeState
-        .map(s => sc.addedFiles.getOrElse(s.uuid, sc.allAddedFiles))
+        .map(s => sc.addedFiles.getOrElse(s.uuid, Map.empty[String, Long]))
         .getOrElse(sc.allAddedFiles).toMap,
       archives = maybeState
-        .map(s => sc.addedArchives.getOrElse(s.uuid, sc.allAddedArchives))
+        .map(s => sc.addedArchives.getOrElse(s.uuid, Map.empty[String, Long]))
         .getOrElse(sc.allAddedArchives).toMap)
   }
 }
diff --git a/core/src/test/scala/org/apache/spark/JobArtifactSetSuite.scala b/core/src/test/scala/org/apache/spark/JobArtifactSetSuite.scala
index 66d02e8b511aa..bf1cb4dded85b 100644
--- a/core/src/test/scala/org/apache/spark/JobArtifactSetSuite.scala
+++ b/core/src/test/scala/org/apache/spark/JobArtifactSetSuite.scala
@@ -86,4 +86,40 @@ class JobArtifactSetSuite extends SparkFunSuite with LocalSparkContext {
       assert(JobArtifactSet.getActiveOrDefault(sc).state.isEmpty)
     }
   }
+
+  test("SPARK-44476: JobArtifactState is not populated with all artifacts if none are " +
+    "explicitly added to it.") {
+    withTempDir { dir =>
+      val conf = new SparkConf()
+        .setAppName("test")
+        .setMaster("local")
+        .set("spark.repl.class.uri", "dummyUri")
+      sc = new SparkContext(conf)
+
+      val jarPath = File.createTempFile("testJar", ".jar", dir).getAbsolutePath
+      val filePath = File.createTempFile("testFile", ".txt", dir).getAbsolutePath
+      val fileToZip = File.createTempFile("testFile", "", dir).getAbsolutePath
+      val archivePath = s"$fileToZip.zip"
+      createZipFile(fileToZip, archivePath)
+
+      val otherJobArtifactState = JobArtifactState("other", Some("state"))
+
+      JobArtifactSet.withActiveJobArtifactState(otherJobArtifactState) {
+        sc.addJar(jarPath)
+        sc.addFile(filePath)
+        sc.addArchive(archivePath)
+      }
+
+      val artifactState = JobArtifactState("abc", Some("xyz"))
+      JobArtifactSet.withActiveJobArtifactState(artifactState) {
+        val jobArtifactSet = JobArtifactSet.getActiveOrDefault(sc)
+
+        // Artifacts from the other state must be not visible to this state.
+        assert(jobArtifactSet.state.contains(artifactState))
+        assert(jobArtifactSet.jars.isEmpty)
+        assert(jobArtifactSet.files.isEmpty)
+        assert(jobArtifactSet.archives.isEmpty)
+      }
+    }
+  }
 }

From f497ab568bb9541621785492e699168dd8cb996c Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 19 Jul 2023 09:51:41 +0900
Subject: [PATCH 014/986] [SPARK-43755][CONNECT][MINOR] Open
 `AdaptiveSparkPlanHelper.allChildren` instead of using copy in
 `MetricGenerator`

### What changes were proposed in this pull request?

Minor refactor - make `AdaptiveSparkPlanHelper.allChildren` protected in place of private, so that we don't have to copy it over, risking that the two versions will get out of sync.

### Why are the changes needed?

Minor refactor.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

CI

Closes #42060 from juliuszsompolski/SPARK-43755-fup.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 227e28cf84c0720ef0515a3744bc017b6eab26ed)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/connect/utils/MetricGenerator.scala  | 8 +-------
 .../sql/execution/adaptive/AdaptiveSparkPlanHelper.scala  | 2 +-
 2 files changed, 2 insertions(+), 8 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/MetricGenerator.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/MetricGenerator.scala
index 88120e616efdb..6395fb588ab84 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/MetricGenerator.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/MetricGenerator.scala
@@ -22,7 +22,7 @@ import scala.collection.JavaConverters._
 import org.apache.spark.connect.proto.ExecutePlanResponse
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.execution.SparkPlan
-import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AdaptiveSparkPlanHelper, QueryStageExec}
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 
 /**
  * Helper object for generating responses with metrics from queries.
@@ -47,12 +47,6 @@ private[connect] object MetricGenerator extends AdaptiveSparkPlanHelper {
     allChildren(p).flatMap(c => transformPlan(c, p.id))
   }
 
-  private def allChildren(p: SparkPlan): Seq[SparkPlan] = p match {
-    case a: AdaptiveSparkPlanExec => Seq(a.executedPlan)
-    case s: QueryStageExec => Seq(s.plan)
-    case _ => p.children
-  }
-
   private def transformPlan(
       p: SparkPlan,
       parentId: Int): Seq[ExecutePlanResponse.Metrics.MetricObject] = {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanHelper.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanHelper.scala
index eecfa40e8d0bd..c58d925f28e5c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanHelper.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanHelper.scala
@@ -122,7 +122,7 @@ trait AdaptiveSparkPlanHelper {
     subqueries ++ subqueries.flatMap(subqueriesAll)
   }
 
-  private def allChildren(p: SparkPlan): Seq[SparkPlan] = p match {
+  protected def allChildren(p: SparkPlan): Seq[SparkPlan] = p match {
     case a: AdaptiveSparkPlanExec => Seq(a.executedPlan)
     case s: QueryStageExec => Seq(s.plan)
     case _ => p.children

From 4ca29161ba16ce195a08b36c9abf2fc5d1841d1a Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Wed, 19 Jul 2023 09:02:32 +0800
Subject: [PATCH 015/986] [SPARK-44324][SQL][CONNECT] Move CaseInsensitiveMap
 to sql/api

### What changes were proposed in this pull request?

Move CaseInsensitiveMap to sql/api.

### Why are the changes needed?

So that Spark Connect Scala client do not need to depend on the Catalyst.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing test

Closes #41882 from amaliujia/move_case_senstiive_map.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit ede82a9519241492ae7bc3aef703b9eb875befb7)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 sql/api/pom.xml                                | 18 ++++++++++++++++++
 .../sql/catalyst/util/CaseInsensitiveMap.scala |  0
 .../sql/catalyst/util/CaseInsensitiveMap.scala |  0
 3 files changed, 18 insertions(+)
 rename sql/{catalyst => api}/src/main/scala-2.12/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala (100%)
 rename sql/{catalyst => api}/src/main/scala-2.13/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala (100%)

diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 41a5b85d4c670..6add5679ce7c4 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -50,6 +50,24 @@
         <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
         <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
         <plugins>
+            <plugin>
+                <groupId>org.codehaus.mojo</groupId>
+                <artifactId>build-helper-maven-plugin</artifactId>
+                <executions>
+                    <execution>
+                        <id>add-sources</id>
+                        <phase>generate-sources</phase>
+                        <goals>
+                            <goal>add-source</goal>
+                        </goals>
+                        <configuration>
+                            <sources>
+                                <source>src/main/scala-${scala.binary.version}</source>
+                            </sources>
+                        </configuration>
+                    </execution>
+                </executions>
+            </plugin>
         </plugins>
     </build>
 </project>
\ No newline at end of file
diff --git a/sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala b/sql/api/src/main/scala-2.12/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala
similarity index 100%
rename from sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala
rename to sql/api/src/main/scala-2.12/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala
diff --git a/sql/catalyst/src/main/scala-2.13/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala b/sql/api/src/main/scala-2.13/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala
similarity index 100%
rename from sql/catalyst/src/main/scala-2.13/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala
rename to sql/api/src/main/scala-2.13/org/apache/spark/sql/catalyst/util/CaseInsensitiveMap.scala

From cf52568af1ef0a17a68f2ea57fb35442547482b5 Mon Sep 17 00:00:00 2001
From: Jack Chen <jack.chen@databricks.com>
Date: Wed, 19 Jul 2023 09:12:54 +0800
Subject: [PATCH 016/986] [SPARK-44448][SQL] Fix wrong results bug from
 DenseRankLimitIterator and InferWindowGroupLimit

### What changes were proposed in this pull request?
Top-k filters on a dense_rank() window function return wrong results, due to a bug in optimization InferWindowGroupLimit, specifically in the code for DenseRankLimitIterator, introduced in https://issues.apache.org/jira/browse/SPARK-37099.

The bug is in DenseRankLimitIterator, it fails to reset state properly when transitioning from one window partition to the next. reset only resets rank = 0, what it is missing is to reset currentRankRow = null. This means that when processing the second and later window partitions, the rank incorrectly gets incremented based on comparing the ordering of the last row of the previous partition to the first row of the new partition.

This means that a dense_rank window func that has more than one window partition and more than one row with dense_rank = 1 in the second or later partitions can give wrong results when optimized.

RankLimitIterator narrowly avoids this bug by happenstance, the first row in the new partition will try to increment rank, but increment it by the value of count which is 0, so it happens to work by accident. This PR also fixes the reset function in RankLimitIterator to make it more robust.

Example repro:
```
create or replace temp view t1 (p, o) as values (1, 1), (1, 1), (1, 2), (2, 1), (2, 1), (2, 2);

select * from (select *, dense_rank() over (partition by p order by o) as rnk from t1) where rnk = 1;
```

Spark result:
```
[1,1,1]
[1,1,1]
[2,1,1]
```

Correct result:
```
[1,1,1]
[1,1,1]
[2,1,1]
[2,1,1]
```

### Why are the changes needed?
Fix wrong results bug.

### Does this PR introduce _any_ user-facing change?
Yes, fixes wrong results.

### How was this patch tested?
Add sql tests and unit tests.

Unfortunately, the previous tests for the optimization only had a single row per rank, so did not catch the bug as the bug requires multiple rows per rank. This PR strengthens the tests with data that contains multiple rows per rank.

Closes #42026 from jchen5/dense-rank-limit.

Authored-by: Jack Chen <jack.chen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f35c814f9b3cf73b94297f8086a117df4c46f39a)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../window/WindowGroupLimitExec.scala         |   2 +
 .../sql-tests/analyzer-results/window.sql.out | 131 ++++++++++++++++++
 .../resources/sql-tests/inputs/window.sql     |  13 ++
 .../sql-tests/results/window.sql.out          |  90 ++++++++++++
 .../sql/DataFrameWindowFunctionsSuite.scala   |  52 +++++--
 5 files changed, 276 insertions(+), 12 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
index b1f375f415102..98969f60c2b43 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
@@ -170,6 +170,7 @@ case class RankLimitIterator(
   override def reset(): Unit = {
     rank = 0
     count = 0
+    currentRankRow = null
   }
 }
 
@@ -193,6 +194,7 @@ case class DenseRankLimitIterator(
 
   override def reset(): Unit = {
     rank = 0
+    currentRankRow = null
   }
 }
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
index ad75b97ceb177..cc2cc8bfc0e26 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
@@ -1279,3 +1279,134 @@ org.apache.spark.sql.AnalysisException
     "windowName" : "w"
   }
 }
+
+
+-- !query
+create or replace temp view t1 (p, o) as values (1, 1), (1, 1), (1, 2), (2, 1), (2, 1), (2, 2)
+-- !query analysis
+CreateViewCommand `t1`, [(p,None), (o,None)], values (1, 1), (1, 1), (1, 2), (2, 1), (2, 1), (2, 2), false, true, LocalTempView, true
+   +- LocalRelation [col1#x, col2#x]
+
+
+-- !query
+select * from (select *, dense_rank() over (partition by p order by o) as rnk from t1) where rnk = 1
+-- !query analysis
+Project [p#x, o#x, rnk#x]
++- Filter (rnk#x = 1)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [p#x, o#x, rnk#x]
+         +- Project [p#x, o#x, rnk#x, rnk#x]
+            +- Window [dense_rank(o#x) windowspecdefinition(p#x, o#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rnk#x], [p#x], [o#x ASC NULLS FIRST]
+               +- Project [p#x, o#x]
+                  +- SubqueryAlias t1
+                     +- View (`t1`, [p#x,o#x])
+                        +- Project [cast(col1#x as int) AS p#x, cast(col2#x as int) AS o#x]
+                           +- LocalRelation [col1#x, col2#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x = 1)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [rank(val#x) windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x <= 2)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [rank(val#x) windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x = 1)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [dense_rank(val#x) windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x <= 2)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [dense_rank(val#x) windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x = 1)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [row_number() windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query analysis
+Project [cate#x, val#x, r#x]
++- Filter (r#x <= 2)
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- Project [cate#x, val#x, r#x]
+         +- Project [cate#x, val#x, r#x, r#x]
+            +- Window [row_number() windowspecdefinition(cate#x, val#x ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#x], [cate#x], [val#x ASC NULLS FIRST]
+               +- Project [cate#x, val#x]
+                  +- SubqueryAlias testdata
+                     +- View (`testData`, [val#x,val_long#xL,val_double#x,val_date#x,val_timestamp#x,cate#x])
+                        +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS val_timestamp#x, cast(cate#x as string) AS cate#x]
+                           +- Project [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
+                              +- SubqueryAlias testData
+                                 +- LocalRelation [val#x, val_long#xL, val_double#x, val_date#x, val_timestamp#x, cate#x]
diff --git a/sql/core/src/test/resources/sql-tests/inputs/window.sql b/sql/core/src/test/resources/sql-tests/inputs/window.sql
index 8f8963c55586a..f94ff0f0a68a5 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/window.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/window.sql
@@ -2,6 +2,8 @@
 --CONFIG_DIM1 spark.sql.codegen.wholeStage=true
 --CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=CODEGEN_ONLY
 --CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=NO_CODEGEN
+--CONFIG_DIM2 spark.sql.optimizer.windowGroupLimitThreshold=-1
+--CONFIG_DIM2 spark.sql.optimizer.windowGroupLimitThreshold=1000
 
 -- Test data.
 CREATE OR REPLACE TEMPORARY VIEW testData AS SELECT * FROM VALUES
@@ -465,3 +467,14 @@ SELECT
 	SUM(salary) OVER w sum_salary
 FROM
 	basic_pays;
+
+-- Test cases for InferWindowGroupLimit
+create or replace temp view t1 (p, o) as values (1, 1), (1, 1), (1, 2), (2, 1), (2, 1), (2, 2);
+select * from (select *, dense_rank() over (partition by p order by o) as rnk from t1) where rnk = 1;
+
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1;
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2;
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1;
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2;
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1;
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2;
diff --git a/sql/core/src/test/resources/sql-tests/results/window.sql.out b/sql/core/src/test/resources/sql-tests/results/window.sql.out
index 13e2f5209dd36..7566f9eb20fd9 100644
--- a/sql/core/src/test/resources/sql-tests/results/window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/window.sql.out
@@ -1342,3 +1342,93 @@ org.apache.spark.sql.AnalysisException
     "windowName" : "w"
   }
 }
+
+
+-- !query
+create or replace temp view t1 (p, o) as values (1, 1), (1, 1), (1, 2), (2, 1), (2, 1), (2, 2)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+select * from (select *, dense_rank() over (partition by p order by o) as rnk from t1) where rnk = 1
+-- !query schema
+struct<p:int,o:int,rnk:int>
+-- !query output
+1	1	1
+1	1	1
+2	1	1
+2	1	1
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	NULL	1
+a	NULL	1
+b	1	1
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	3	2
+NULL	NULL	1
+a	1	2
+a	1	2
+a	NULL	1
+b	1	1
+b	2	2
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	NULL	1
+a	NULL	1
+b	1	1
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, dense_rank() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	3	2
+NULL	NULL	1
+a	1	2
+a	1	2
+a	NULL	1
+b	1	1
+b	2	2
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r = 1
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	NULL	1
+a	NULL	1
+b	1	1
+
+
+-- !query
+SELECT * FROM (SELECT cate, val, row_number() OVER(PARTITION BY cate ORDER BY val) as r FROM testData) where r <= 2
+-- !query schema
+struct<cate:string,val:int,r:int>
+-- !query output
+NULL	3	2
+NULL	NULL	1
+a	1	2
+a	NULL	1
+b	1	1
+b	2	2
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
index f2f645b126cbf..a57e927ba8427 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
@@ -1283,7 +1283,13 @@ class DataFrameWindowFunctionsSuite extends QueryTest
       ("b", 1, "n", Double.PositiveInfinity),
       ("c", 1, "z", -2.0),
       ("c", 1, "a", -4.0),
-      ("c", 2, nullStr, 5.0)).toDF("key", "value", "order", "value2")
+      ("c", 2, nullStr, 5.0),
+      ("d", 0, "1", 1.0),
+      ("d", 1, "1", 2.0),
+      ("d", 2, "2", 3.0),
+      ("d", 3, "2", -1.0),
+      ("d", 4, "2", 2.0),
+      ("d", 4, "3", 2.0)).toDF("key", "value", "order", "value2")
 
     val window = Window.partitionBy($"key").orderBy($"order".asc_nulls_first)
     val window2 = Window.partitionBy($"key").orderBy($"order".desc_nulls_first)
@@ -1304,7 +1310,8 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                 Seq(
                   Row("a", 4, "", 2.0, 1),
                   Row("b", 1, "h", Double.NaN, 1),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1)
                 )
               )
 
@@ -1313,7 +1320,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                   Row("a", 4, "", 2.0, 1),
                   Row("a", 4, "", 2.0, 1),
                   Row("b", 1, "h", Double.NaN, 1),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1),
+                  Row("d", 1, "1", 2.0, 1)
                 )
               )
 
@@ -1322,7 +1331,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                   Row("a", 4, "", 2.0, 1),
                   Row("a", 4, "", 2.0, 1),
                   Row("b", 1, "h", Double.NaN, 1),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1),
+                  Row("d", 1, "1", 2.0, 1)
                 )
               )
 
@@ -1353,7 +1364,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                   Row("b", 1, "h", Double.NaN, 1),
                   Row("b", 1, "n", Double.PositiveInfinity, 2),
                   Row("c", 1, "a", -4.0, 2),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1),
+                  Row("d", 1, "1", 2.0, 2)
                 )
               )
 
@@ -1364,7 +1377,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                   Row("b", 1, "h", Double.NaN, 1),
                   Row("b", 1, "n", Double.PositiveInfinity, 2),
                   Row("c", 1, "a", -4.0, 2),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1),
+                  Row("d", 1, "1", 2.0, 1)
                 )
               )
 
@@ -1376,7 +1391,12 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                   Row("b", 1, "h", Double.NaN, 1),
                   Row("b", 1, "n", Double.PositiveInfinity, 2),
                   Row("c", 1, "a", -4.0, 2),
-                  Row("c", 2, null, 5.0, 1)
+                  Row("c", 2, null, 5.0, 1),
+                  Row("d", 0, "1", 1.0, 1),
+                  Row("d", 1, "1", 2.0, 1),
+                  Row("d", 2, "2", 3.0, 2),
+                  Row("d", 3, "2", -1.0, 2),
+                  Row("d", 4, "2", 2.0, 2)
                 )
               )
 
@@ -1408,7 +1428,8 @@ class DataFrameWindowFunctionsSuite extends QueryTest
             checkAnswer(df.withColumn("rn", row_number().over(window)).where(condition),
               Seq(
                 Row("a", 4, "", 2.0, 2),
-                Row("b", 1, "n", Double.PositiveInfinity, 2)
+                Row("b", 1, "n", Double.PositiveInfinity, 2),
+                Row("d", 1, "1", 2.0, 2)
               )
             )
 
@@ -1421,7 +1442,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
             checkAnswer(df.withColumn("rn", dense_rank().over(window)).where(condition),
               Seq(
                 Row("a", 0, "c", 1.0, 2),
-                Row("b", 1, "n", Double.PositiveInfinity, 2)
+                Row("b", 1, "n", Double.PositiveInfinity, 2),
+                Row("d", 2, "2", 3.0, 2),
+                Row("d", 4, "2", 2.0, 2)
               )
             )
 
@@ -1433,7 +1456,8 @@ class DataFrameWindowFunctionsSuite extends QueryTest
               Seq(
                 Row("a", 4, "", 2.0, 1, 1),
                 Row("b", 1, "h", Double.NaN, 1, 1),
-                Row("c", 2, null, 5.0, 1, 1)
+                Row("c", 2, null, 5.0, 1, 1),
+                Row("d", 0, "1", 1.0, 1, 1)
               )
             )
 
@@ -1446,7 +1470,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                 Row("a", 4, "", 2.0, 1, 1),
                 Row("a", 4, "", 2.0, 1, 1),
                 Row("b", 1, "h", Double.NaN, 1, 1),
-                Row("c", 2, null, 5.0, 1, 1)
+                Row("c", 2, null, 5.0, 1, 1),
+                Row("d", 0, "1", 1.0, 1, 1),
+                Row("d", 1, "1", 2.0, 1, 1)
               )
             )
 
@@ -1459,7 +1485,9 @@ class DataFrameWindowFunctionsSuite extends QueryTest
                 Row("a", 4, "", 2.0, 1, 1),
                 Row("a", 4, "", 2.0, 1, 1),
                 Row("b", 1, "h", Double.NaN, 1, 1),
-                Row("c", 2, null, 5.0, 1, 1)
+                Row("c", 2, null, 5.0, 1, 1),
+                Row("d", 0, "1", 1.0, 1, 1),
+                Row("d", 1, "1", 2.0, 1, 1)
               )
             )
 

From c417c123a48082d8db7362685d37b2133c4bb670 Mon Sep 17 00:00:00 2001
From: Xinrong Meng <xinrong@apache.org>
Date: Wed, 19 Jul 2023 10:21:39 +0900
Subject: [PATCH 017/986] [SPARK-44401][PYTHON][DOCS] Arrow Python UDF Use
 Guide

### What changes were proposed in this pull request?
Add use guide for Arrow Python UDF.

### Why are the changes needed?
Better documentation and usability of Arrow Python UDF.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
N/A.

Closes #41974 from xinrong-meng/guide.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit bdea4c5f52835b8375dc0f523a2887112df0ad47)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 examples/src/main/python/sql/arrow.py         | 21 +++++++++++++++
 .../source/user_guide/sql/arrow_pandas.rst    | 26 +++++++++++++++++++
 2 files changed, 47 insertions(+)

diff --git a/examples/src/main/python/sql/arrow.py b/examples/src/main/python/sql/arrow.py
index 2510ffd423bfa..03daf18eadbf3 100644
--- a/examples/src/main/python/sql/arrow.py
+++ b/examples/src/main/python/sql/arrow.py
@@ -275,6 +275,27 @@ def merge_ordered(left: pd.DataFrame, right: pd.DataFrame) -> pd.DataFrame:
     # +--------+---+---+----+
 
 
+def arrow_python_udf_example(spark: SparkSession) -> None:
+    from pyspark.sql.functions import udf
+
+    @udf(returnType='int')  # A default, pickled Python UDF
+    def slen(s):  # type: ignore[no-untyped-def]
+        return len(s)
+
+    @udf(returnType='int', useArrow=True)  # An Arrow Python UDF
+    def arrow_slen(s):  # type: ignore[no-untyped-def]
+        return len(s)
+
+    df = spark.createDataFrame([(1, "John Doe", 21)], ("id", "name", "age"))
+
+    df.select(slen("name"), arrow_slen("name")).show()
+    # +----------+----------------+
+    # |slen(name)|arrow_slen(name)|
+    # +----------+----------------+
+    # |         8|               8|
+    # +----------+----------------+
+
+
 if __name__ == "__main__":
     spark = SparkSession \
         .builder \
diff --git a/python/docs/source/user_guide/sql/arrow_pandas.rst b/python/docs/source/user_guide/sql/arrow_pandas.rst
index 9667b745628e2..e9355cdf4f0af 100644
--- a/python/docs/source/user_guide/sql/arrow_pandas.rst
+++ b/python/docs/source/user_guide/sql/arrow_pandas.rst
@@ -333,6 +333,32 @@ The following example shows how to use ``DataFrame.groupby().cogroup().applyInPa
 
 For detailed usage, please see :meth:`PandasCogroupedOps.applyInPandas`
 
+Arrow Python UDFs
+-----------------
+
+Arrow Python UDFs are user defined functions that are executed row-by-row, utilizing Arrow for efficient batch data
+transfer and serialization. To define an Arrow Python UDF, you can use the :meth:`udf` decorator or wrap the function
+with the :meth:`udf` method, ensuring the ``useArrow`` parameter is set to True. Additionally, you can enable Arrow
+optimization for Python UDFs throughout the entire SparkSession by setting the Spark configuration ``spark.sql
+.execution.pythonUDF.arrow.enabled`` to true. It's important to note that the Spark configuration takes effect only
+when ``useArrow`` is either not set or set to None.
+
+The type hints for Arrow Python UDFs should be specified in the same way as for default, pickled Python UDFs.
+
+Here's an example that demonstrates the usage of both a default, pickled Python UDF and an Arrow Python UDF:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/arrow.py
+    :language: python
+    :lines: 279-297
+    :dedent: 4
+
+Compared to the default, pickled Python UDFs, Arrow Python UDFs provide a more coherent type coercion mechanism. UDF
+type coercion poses challenges when the Python instances returned by UDFs do not align with the user-specified
+return type. The default, pickled Python UDFs' type coercion has certain limitations, such as relying on None as a
+fallback for type mismatches, leading to potential ambiguity and data loss. Additionally, converting date, datetime,
+and tuples to strings can yield ambiguous results. Arrow Python UDFs, on the other hand, leverage Arrow's
+capabilities to standardize type coercion and address these issues effectively.
+
 Usage Notes
 -----------
 

From f4672b5fa5c229e9a76d45c620a07ec0ae1f81f4 Mon Sep 17 00:00:00 2001
From: Mathew Jacob <mathew.jacob@databricks.com>
Date: Wed, 19 Jul 2023 10:50:10 +0900
Subject: [PATCH 018/986] [SPARK-44264][ML][PYTHON] Refactoring
 TorchDistributor To Allow for Custom "run_training_on_file" Function Pointer

### What Was Changed
We enable for a custom function pointer to be passed around the private functions that allow for distributed training of a function.

### Why Do We Need This Change

By abstracting the "run_training_on_pytorch_file" function to something that can be passed in, it allows for much easier creation of distributors that run on top of torch.distributed. Specifically, it makes it easy to implement distributed training of picklable functions in DeepspeedTorchDistributor. As mentioned, if there are accelerators that come out in the future built on top of torch.distributed, it will be very easy to support them in Spark. One can simply do the following:
1. Inherit from TorchDistributor and define a _run_training_on_pytorch_file function or equivalent for your class
2.  When defining run(...), simply return _run() and pass in your custom _run_training_on_pytorch_file function in as the respective argument

### Any User-Facing Changes?
No.

### How Is This Tested?

The existing tests for TorchDistributor.

Closes #41973 from mathewjacob1002/distributed_func_support_prototype.

Lead-authored-by: Mathew Jacob <mathew.jacob@databricks.com>
Co-authored-by: Mathew Jacob <134338709+mathewjacob1002@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit ee0e687b2bf50c6b8ab1b40b948e91ef03da42b8)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/ml/torch/distributor.py        | 117 ++++++++++++++++--
 .../ml/torch/tests/test_distributor.py        |   9 +-
 2 files changed, 113 insertions(+), 13 deletions(-)

diff --git a/python/pyspark/ml/torch/distributor.py b/python/pyspark/ml/torch/distributor.py
index 5b5d7c2288a62..71bcde3b48e45 100644
--- a/python/pyspark/ml/torch/distributor.py
+++ b/python/pyspark/ml/torch/distributor.py
@@ -515,10 +515,64 @@ def _execute_command(
                 f"The {last_n_msg} included below: {task_output}"
             )
 
+    @staticmethod
+    def _get_output_from_framework_wrapper(
+        framework_wrapper: Optional[Callable],
+        input_params: Dict,
+        train_object: Union[Callable, str],
+        run_pytorch_file_fn: Optional[Callable],
+        *args: Any,
+        **kwargs: Any,
+    ) -> Optional[Any]:
+        """
+        This function is meant to get the output from framework wrapper function by passing in the
+        correct arguments, depending on the type of train_object.
+
+        Parameters
+        ----------
+        framework_wrapper: Optional[Callable]
+            Function pointer that will be invoked. Can either be the function that runs distributed
+            training on files if train_object is a string. Otherwise, it will be the function that
+            runs distributed training for functions if the train_object is a Callable
+        input_params: Dict
+            A dictionary that maps parameter to arguments for the command to be created.
+        train_object: Union[Callable, str]
+            This input comes from the user. If the user inputs a string, then this means
+            it's a filepath. Otherwise, if the input is a function, then this means that
+            the user wants to run this function in a distributed manner.
+        run_pytorch_file_fn: Optional[Callable]
+            The function that will be used to run distributed training of a file;
+            mainly used for the distributed training using a function.
+        *args: Any
+            Extra arguments to be used by framework wrapper.
+        **kwargs: Any
+            Extra keyword args to be used. Not currently supported but kept for
+            future improvement.
+
+        Returns
+        -------
+        Optional[Any]
+            Returns the result of the framework_wrapper
+        """
+        if not framework_wrapper:
+            raise RuntimeError("`framework_wrapper` is not set. ...")
+        # The object to train is a file path, so framework_wrapper is some
+        # run_training_on_pytorch_file function.
+        if type(train_object) is str:
+            return framework_wrapper(input_params, train_object, *args, **kwargs)
+        else:
+            # We are doing training with a function, will call run_training_on_pytorch_function
+            if not run_pytorch_file_fn:
+                run_pytorch_file_fn = TorchDistributor._run_training_on_pytorch_file
+            return framework_wrapper(
+                input_params, train_object, run_pytorch_file_fn, *args, **kwargs
+            )
+
     def _run_local_training(
         self,
         framework_wrapper_fn: Callable,
         train_object: Union[Callable, str],
+        run_pytorch_file_fn: Optional[Callable],
         *args: Any,
         **kwargs: Any,
     ) -> Optional[Any]:
@@ -536,7 +590,14 @@ def _run_local_training(
                 os.environ[CUDA_VISIBLE_DEVICES] = ",".join(selected_gpus)
 
             self.logger.info(f"Started local training with {self.num_processes} processes")
-            output = framework_wrapper_fn(self.input_params, train_object, *args, **kwargs)
+            output = TorchDistributor._get_output_from_framework_wrapper(
+                framework_wrapper_fn,
+                self.input_params,
+                train_object,
+                run_pytorch_file_fn,
+                *args,
+                **kwargs,
+            )
             self.logger.info(f"Finished local training with {self.num_processes} processes")
 
         finally:
@@ -552,6 +613,7 @@ def _get_spark_task_function(
         self,
         framework_wrapper_fn: Optional[Callable],
         train_object: Union[Callable, str],
+        run_pytorch_file_fn: Optional[Callable],
         input_dataframe: Optional["DataFrame"],
         *args: Any,
         **kwargs: Any,
@@ -656,7 +718,14 @@ def set_gpus(context: "BarrierTaskContext") -> None:
             input_params["log_streaming_client"] = log_streaming_client
             try:
                 with TorchDistributor._setup_spark_partition_data(iterator, schema_json):
-                    output = framework_wrapper_fn(input_params, train_object, *args, **kwargs)
+                    output = TorchDistributor._get_output_from_framework_wrapper(
+                        framework_wrapper_fn,
+                        input_params,
+                        train_object,
+                        run_pytorch_file_fn,
+                        *args,
+                        **kwargs,
+                    )
             finally:
                 try:
                     LogStreamingClient._destroy()
@@ -686,6 +755,7 @@ def _run_distributed_training(
         self,
         framework_wrapper_fn: Callable,
         train_object: Union[Callable, str],
+        run_pytorch_file_fn: Optional[Callable],
         spark_dataframe: Optional["DataFrame"],
         *args: Any,
         **kwargs: Any,
@@ -702,7 +772,12 @@ def _run_distributed_training(
 
         try:
             spark_task_function = self._get_spark_task_function(
-                framework_wrapper_fn, train_object, spark_dataframe, *args, **kwargs
+                framework_wrapper_fn,
+                train_object,
+                run_pytorch_file_fn,
+                spark_dataframe,
+                *args,
+                **kwargs,
             )
             self._check_encryption()
             self.logger.info(
@@ -804,13 +879,21 @@ def _setup_spark_partition_data(
 
     @staticmethod
     def _run_training_on_pytorch_function(
-        input_params: Dict[str, Any], train_fn: Callable, *args: Any, **kwargs: Any
+        input_params: Dict[str, Any],
+        train_fn: Callable,
+        run_pytorch_file_fn: Optional[Callable],
+        *args: Any,
+        **kwargs: Any,
     ) -> Any:
+
+        if not run_pytorch_file_fn:
+            run_pytorch_file_fn = TorchDistributor._run_training_on_pytorch_file
+
         with TorchDistributor._setup_files(train_fn, *args, **kwargs) as (
             train_file_path,
             output_file_path,
         ):
-            TorchDistributor._run_training_on_pytorch_file(input_params, train_file_path)
+            run_pytorch_file_fn(input_params, train_file_path)
             if not os.path.exists(output_file_path):
                 raise RuntimeError(
                     "TorchDistributor failed during training."
@@ -910,17 +993,28 @@ def run(self, train_object: Union[Callable, str], *args: Any, **kwargs: Any) ->
             train_object is a Callable with an expected output. Returns None if train_object is
             a file.
         """
+        return self._run(
+            train_object, TorchDistributor._run_training_on_pytorch_file, *args, **kwargs
+        )
+
+    def _run(
+        self,
+        train_object: Union[Callable, str],
+        run_pytorch_file_fn: Callable,
+        *args: Any,
+        **kwargs: Any,
+    ) -> Optional[Any]:
         if isinstance(train_object, str):
-            framework_wrapper_fn = TorchDistributor._run_training_on_pytorch_file
+            framework_wrapper_fn = run_pytorch_file_fn
         else:
-            framework_wrapper_fn = (
-                TorchDistributor._run_training_on_pytorch_function  # type: ignore
-            )
+            framework_wrapper_fn = TorchDistributor._run_training_on_pytorch_function
         if self.local_mode:
-            output = self._run_local_training(framework_wrapper_fn, train_object, *args, **kwargs)
+            output = self._run_local_training(
+                framework_wrapper_fn, train_object, run_pytorch_file_fn, *args, **kwargs
+            )
         else:
             output = self._run_distributed_training(
-                framework_wrapper_fn, train_object, None, *args, **kwargs
+                framework_wrapper_fn, train_object, run_pytorch_file_fn, None, *args, **kwargs
             )
         return output
 
@@ -976,6 +1070,7 @@ def _train_on_dataframe(
         return self._run_distributed_training(
             TorchDistributor._run_training_on_pytorch_function,
             train_function,
+            TorchDistributor._run_training_on_pytorch_file,
             spark_dataframe,
             *args,
             **kwargs,
diff --git a/python/pyspark/ml/torch/tests/test_distributor.py b/python/pyspark/ml/torch/tests/test_distributor.py
index 89c8893ea1b30..364ed83f98dce 100644
--- a/python/pyspark/ml/torch/tests/test_distributor.py
+++ b/python/pyspark/ml/torch/tests/test_distributor.py
@@ -383,7 +383,7 @@ def test_local_training_succeeds(self) -> None:
                 )
                 self.assertEqual(
                     expected,
-                    dist._run_local_training(dist._run_training_on_pytorch_file, "train.py"),
+                    dist._run_local_training(dist._run_training_on_pytorch_file, "train.py", None),
                 )
                 # cleanup
                 if cuda_env_var:
@@ -463,7 +463,12 @@ def test_dist_training_succeeds(self) -> None:
                 )
                 self.assertEqual(
                     expected,
-                    dist._run_distributed_training(dist._run_training_on_pytorch_file, "...", None),
+                    dist._run_distributed_training(
+                        dist._run_training_on_pytorch_file,
+                        "...",
+                        TorchDistributor._run_training_on_pytorch_file,
+                        None,
+                    ),
                 )
 
     def test_get_num_tasks_distributed(self) -> None:

From 8d805b8c65ac3b6bfcb204473b138cf2b06fef0c Mon Sep 17 00:00:00 2001
From: jdesjean <jf.gauthier@databricks.com>
Date: Wed, 19 Jul 2023 11:25:24 +0900
Subject: [PATCH 019/986] [SPARK-44474][CONNECT] Reenable "Test observe
 response" at SparkConnectServiceSuite

### What changes were proposed in this pull request?
Finished is emitted in SparkConnectPlanExecution after the arrow conversion job is completed. However, since we don't await the completion of the job, it's possible for SparkConnectPlanExecution to complete before sending Finished.
Closed is emitted in SparkConnectExecutePlanHandler in a separate thread.

Add await in order to guarantee the order of events between Finished & Closed.

### Why are the changes needed?
`Test observe response` at SparkConnectServiceSuite was disabled as flaky after [introduction of events](https://github.com/apache/spark/pull/41443). Failure surfaced race condition in emitting the Finished & Closed events for Connect request of type plan. The correct order of events is Finished < Closed.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit

Closes #42063 from jdesjean/SPARK-44474.

Authored-by: jdesjean <jf.gauthier@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit cf99e6c00c3c167b1a799db65bca85d7a627ea08)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/SparkConnectPlanExecution.scala | 38 ++++++++++---------
 .../planner/SparkConnectServiceSuite.scala    |  3 +-
 2 files changed, 22 insertions(+), 19 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
index d2124a38c9d4e..334dcdbcb4287 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.connect.execution
 
 import scala.collection.JavaConverters._
+import scala.concurrent.duration.Duration
 import scala.util.{Failure, Success}
 
 import com.google.protobuf.ByteString
@@ -153,23 +154,23 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
               ()
             }
 
-            val future = spark.sparkContext.submitJob(
-              rdd = batches,
-              processPartition = (iter: Iterator[Batch]) => iter.toArray,
-              partitions = Seq.range(0, numPartitions),
-              resultHandler = resultHandler,
-              resultFunc = () => ())
-
-            // Collect errors and propagate them to the main thread.
-            future.onComplete {
-              case Success(_) =>
-                executePlan.eventsManager.postFinished()
-              case Failure(throwable) =>
-                signal.synchronized {
-                  error = Some(throwable)
-                  signal.notify()
-                }
-            }(ThreadUtils.sameThread)
+            val future = spark.sparkContext
+              .submitJob(
+                rdd = batches,
+                processPartition = (iter: Iterator[Batch]) => iter.toArray,
+                partitions = Seq.range(0, numPartitions),
+                resultHandler = resultHandler,
+                resultFunc = () => ())
+              // Collect errors and propagate them to the main thread.
+              .andThen {
+                case Success(_) =>
+                  executePlan.eventsManager.postFinished()
+                case Failure(throwable) =>
+                  signal.synchronized {
+                    error = Some(throwable)
+                    signal.notify()
+                  }
+              }(ThreadUtils.sameThread)
 
             // The main thread will wait until 0-th partition is available,
             // then send it to client and wait for the next partition.
@@ -199,6 +200,9 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
 
               currentPartitionId += 1
             }
+            ThreadUtils.awaitReady(future, Duration.Inf)
+          } else {
+            executePlan.eventsManager.postFinished()
           }
         }
     }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index cfa37b86cd41a..498084efb8f3f 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -564,8 +564,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
     }
   }
 
-  // TODO(SPARK-44474): Reenable Test observe response at SparkConnectServiceSuite
-  ignore("Test observe response") {
+  test("Test observe response") {
     // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
     assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("test") {

From f250ab2cb7b2a7a158403a1b5e3ca4e57e934c94 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Wed, 19 Jul 2023 12:00:31 +0800
Subject: [PATCH 020/986] [SPARK-43965][PYTHON][CONNECT][FOLLOWUP] Include
 test_parity_udtf in spark test module

### What changes were proposed in this pull request?

This is a follow up PR for SPARK-43965 to include `test_parity_udtf` in spark test module. It also fixes a test failure.

### Why are the changes needed?

To include a new test case.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

Closes #42065 from allisonwang-db/spark-43965-follow-up.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit a1eea7f206b92963417ce77ee8047705a7b32942)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 dev/sparktestsupport/modules.py                      | 1 +
 python/pyspark/sql/tests/connect/test_parity_udtf.py | 9 ---------
 2 files changed, 1 insertion(+), 9 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 85ef0c494b8ef..6382e9a536931 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -852,6 +852,7 @@ def __hash__(self):
         "pyspark.sql.tests.connect.test_parity_column",
         "pyspark.sql.tests.connect.test_parity_readwriter",
         "pyspark.sql.tests.connect.test_parity_udf",
+        "pyspark.sql.tests.connect.test_parity_udtf",
         "pyspark.sql.tests.connect.test_parity_pandas_udf",
         "pyspark.sql.tests.connect.test_parity_pandas_map",
         "pyspark.sql.tests.connect.test_parity_arrow_map",
diff --git a/python/pyspark/sql/tests/connect/test_parity_udtf.py b/python/pyspark/sql/tests/connect/test_parity_udtf.py
index f5f37f1f5c070..e18e116e0034d 100644
--- a/python/pyspark/sql/tests/connect/test_parity_udtf.py
+++ b/python/pyspark/sql/tests/connect/test_parity_udtf.py
@@ -104,15 +104,6 @@ def terminate(self):
         with self.assertRaisesRegex(SparkConnectGrpcException, err_msg):
             TestUDTF(lit(1)).show()
 
-    def test_udtf_with_empty_yield(self):
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield
-
-        with self.assertRaisesRegex(SparkConnectGrpcException, "java.lang.NullPointerException"):
-            TestUDTF(lit(1)).collect()
-
 
 class ArrowUDTFParityTests(UDTFArrowTestsMixin, UDTFParityTests):
     @classmethod

From 4f22b2f944d3253898bddff9b0958b7a2c813bc7 Mon Sep 17 00:00:00 2001
From: Vinod KC <vinod.kc.in@gmail.com>
Date: Wed, 19 Jul 2023 12:02:52 +0800
Subject: [PATCH 021/986] [SPARK-44361][SQL] Use PartitionEvaluator API in
 MapInBatchExec

### What changes were proposed in this pull request?

SQL operator `MapInBatchExec` is updated to use the `PartitionEvaluator` API to do execution.
Added a new method `mapPartitionsWithEvaluator` in `RDDBarrier`.

### Why are the changes needed?

To avoid the use of lambda during distributed execution.
Ref: SPARK-43061 for more details.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing test cases. Once all SQL operators are refactored, will enable `spark.sql.execution.usePartitionEvaluator` by default, so all tests cover this code path.

Closes #42024 from vinodkc/br_SPARK-44361.

Authored-by: Vinod KC <vinod.kc.in@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9b43a9f3ea551a594835a4742f7b2d1fdb1cf518)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/rdd/RDDBarrier.scala     | 16 +++-
 .../python/MapInBatchEvaluatorFactory.scala   | 92 +++++++++++++++++++
 .../sql/execution/python/MapInBatchExec.scala | 80 +++++++---------
 3 files changed, 137 insertions(+), 51 deletions(-)
 create mode 100644 sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala

diff --git a/core/src/main/scala/org/apache/spark/rdd/RDDBarrier.scala b/core/src/main/scala/org/apache/spark/rdd/RDDBarrier.scala
index b70ea0073c9a0..13ce8f1e1b540 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDDBarrier.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDDBarrier.scala
@@ -19,8 +19,8 @@ package org.apache.spark.rdd
 
 import scala.reflect.ClassTag
 
-import org.apache.spark.TaskContext
-import org.apache.spark.annotation.{Experimental, Since}
+import org.apache.spark.{PartitionEvaluatorFactory, TaskContext}
+import org.apache.spark.annotation.{DeveloperApi, Experimental, Since}
 
 /**
  * :: Experimental ::
@@ -76,5 +76,17 @@ class RDDBarrier[T: ClassTag] private[spark] (rdd: RDD[T]) {
     )
   }
 
+  /**
+   * Return a new RDD by applying an evaluator to each partition of the wrapped RDD. The given
+   * evaluator factory will be serialized and sent to executors, and each task will create an
+   * evaluator with the factory, and use the evaluator to transform the data of the input
+   * partition.
+   */
+  @DeveloperApi
+  @Since("3.5.0")
+  def mapPartitionsWithEvaluator[U: ClassTag](
+      evaluatorFactory: PartitionEvaluatorFactory[T, U]): RDD[U] = rdd.withScope {
+    new MapPartitionsWithEvaluatorRDD(rdd, evaluatorFactory)
+  }
   // TODO: [SPARK-25247] add extra conf to RDDBarrier, e.g., timeout.
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala
new file mode 100644
index 0000000000000..efb063476a41e
--- /dev/null
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.python
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.{ContextAwareIterator, TaskContext}
+import org.apache.spark.{PartitionEvaluator, PartitionEvaluatorFactory}
+import org.apache.spark.api.python.{ChainedPythonFunctions}
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.execution.metric.SQLMetric
+import org.apache.spark.sql.types.{StructField, StructType}
+import org.apache.spark.sql.vectorized.{ArrowColumnVector, ColumnarBatch}
+
+class MapInBatchEvaluatorFactory(
+    output: Seq[Attribute],
+    chainedFunc: Seq[ChainedPythonFunctions],
+    outputTypes: StructType,
+    batchSize: Int,
+    pythonEvalType: Int,
+    sessionLocalTimeZone: String,
+    largeVarTypes: Boolean,
+    pythonRunnerConf: Map[String, String],
+    pythonMetrics: Map[String, SQLMetric],
+    jobArtifactUUID: Option[String])
+    extends PartitionEvaluatorFactory[InternalRow, InternalRow] {
+
+  override def createEvaluator(): PartitionEvaluator[InternalRow, InternalRow] =
+    new MapInBatchEvaluator
+
+  private class MapInBatchEvaluator extends PartitionEvaluator[InternalRow, InternalRow] {
+    override def eval(
+        partitionIndex: Int,
+        inputs: Iterator[InternalRow]*): Iterator[InternalRow] = {
+      assert(inputs.length == 1)
+      val inputIter = inputs.head
+      // Single function with one struct.
+      val argOffsets = Array(Array(0))
+      val context = TaskContext.get()
+      val contextAwareIterator = new ContextAwareIterator(context, inputIter)
+
+      // Here we wrap it via another row so that Python sides understand it
+      // as a DataFrame.
+      val wrappedIter = contextAwareIterator.map(InternalRow(_))
+
+      // DO NOT use iter.grouped(). See BatchIterator.
+      val batchIter =
+        if (batchSize > 0) new BatchIterator(wrappedIter, batchSize) else Iterator(wrappedIter)
+
+      val columnarBatchIter = new ArrowPythonRunner(
+        chainedFunc,
+        pythonEvalType,
+        argOffsets,
+        StructType(Array(StructField("struct", outputTypes))),
+        sessionLocalTimeZone,
+        largeVarTypes,
+        pythonRunnerConf,
+        pythonMetrics,
+        jobArtifactUUID).compute(batchIter, context.partitionId(), context)
+
+      val unsafeProj = UnsafeProjection.create(output, output)
+
+      columnarBatchIter
+        .flatMap { batch =>
+          // Scalar Iterator UDF returns a StructType column in ColumnarBatch, select
+          // the children here
+          val structVector = batch.column(0).asInstanceOf[ArrowColumnVector]
+          val outputVectors = output.indices.map(structVector.getChild)
+          val flattenedBatch = new ColumnarBatch(outputVectors.toArray)
+          flattenedBatch.setNumRows(batch.numRows())
+          flattenedBatch.rowIterator.asScala
+        }
+        .map(unsafeProj)
+    }
+  }
+}
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
index b4af3db3c83a7..0703f57c33d38 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
@@ -17,18 +17,14 @@
 
 package org.apache.spark.sql.execution.python
 
-import scala.collection.JavaConverters._
-
-import org.apache.spark.{ContextAwareIterator, JobArtifactSet, TaskContext}
+import org.apache.spark.JobArtifactSet
 import org.apache.spark.api.python.ChainedPythonFunctions
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.physical._
 import org.apache.spark.sql.execution.UnaryExecNode
-import org.apache.spark.sql.types.{StructField, StructType}
 import org.apache.spark.sql.util.ArrowUtils
-import org.apache.spark.sql.vectorized.{ArrowColumnVector, ColumnarBatch}
 
 /**
  * A relation produced by applying a function that takes an iterator of batches
@@ -56,53 +52,39 @@ trait MapInBatchExec extends UnaryExecNode with PythonSQLMetrics {
   override def outputPartitioning: Partitioning = child.outputPartitioning
 
   override protected def doExecute(): RDD[InternalRow] = {
-    def mapper(inputIter: Iterator[InternalRow]): Iterator[InternalRow] = {
-      // Single function with one struct.
-      val argOffsets = Array(Array(0))
-      val chainedFunc = Seq(ChainedPythonFunctions(Seq(pythonFunction)))
-      val sessionLocalTimeZone = conf.sessionLocalTimeZone
-      val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
-      val outputTypes = child.schema
-
-      val context = TaskContext.get()
-      val contextAwareIterator = new ContextAwareIterator(context, inputIter)
-
-      // Here we wrap it via another row so that Python sides understand it
-      // as a DataFrame.
-      val wrappedIter = contextAwareIterator.map(InternalRow(_))
-
-      // DO NOT use iter.grouped(). See BatchIterator.
-      val batchIter =
-        if (batchSize > 0) new BatchIterator(wrappedIter, batchSize) else Iterator(wrappedIter)
-
-      val columnarBatchIter = new ArrowPythonRunner(
-        chainedFunc,
-        pythonEvalType,
-        argOffsets,
-        StructType(Array(StructField("struct", outputTypes))),
-        sessionLocalTimeZone,
-        largeVarTypes,
-        pythonRunnerConf,
-        pythonMetrics,
-        jobArtifactUUID).compute(batchIter, context.partitionId(), context)
-
-      val unsafeProj = UnsafeProjection.create(output, output)
-
-      columnarBatchIter.flatMap { batch =>
-        // Scalar Iterator UDF returns a StructType column in ColumnarBatch, select
-        // the children here
-        val structVector = batch.column(0).asInstanceOf[ArrowColumnVector]
-        val outputVectors = output.indices.map(structVector.getChild)
-        val flattenedBatch = new ColumnarBatch(outputVectors.toArray)
-        flattenedBatch.setNumRows(batch.numRows())
-        flattenedBatch.rowIterator.asScala
-      }.map(unsafeProj)
-    }
+    val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+    val pythonFunction = func.asInstanceOf[PythonUDF].func
+    val chainedFunc = Seq(ChainedPythonFunctions(Seq(pythonFunction)))
+    val evaluatorFactory = new MapInBatchEvaluatorFactory(
+      output,
+      chainedFunc,
+      child.schema,
+      conf.arrowMaxRecordsPerBatch,
+      pythonEvalType,
+      conf.sessionLocalTimeZone,
+      conf.arrowUseLargeVarTypes,
+      pythonRunnerConf,
+      pythonMetrics,
+      jobArtifactUUID)
 
     if (isBarrier) {
-      child.execute().barrier().mapPartitions(mapper)
+      val rddBarrier = child.execute().barrier()
+      if (conf.usePartitionEvaluator) {
+        rddBarrier.mapPartitionsWithEvaluator(evaluatorFactory)
+      } else {
+        rddBarrier.mapPartitions { iter =>
+          evaluatorFactory.createEvaluator().eval(0, iter)
+        }
+      }
     } else {
-      child.execute().mapPartitionsInternal(mapper)
+      val inputRdd = child.execute()
+      if (conf.usePartitionEvaluator) {
+        inputRdd.mapPartitionsWithEvaluator(evaluatorFactory)
+      } else {
+        inputRdd.mapPartitionsInternal { iter =>
+          evaluatorFactory.createEvaluator().eval(0, iter)
+        }
+      }
     }
   }
 }

From 3c07a3e7e5dba165f2c579bb4969405bc9d4f20b Mon Sep 17 00:00:00 2001
From: Shu Wang <swang7@linkedin.com>
Date: Wed, 19 Jul 2023 02:18:59 -0500
Subject: [PATCH 022/986] [SPARK-44272][YARN] Path Inconsistency when Operating
 statCache within Yarn Client

### What changes were proposed in this pull request?

1. Change `statCache.getOrElse` to `statCache.getOrElseUpdate` so that the corresponding FileStatus can be cached into `statCache`
2. Change the `Path` parameter `isPublic`,  `checkPermissionOfOther`, and `ancestorsHaveExecutePermissions` to `URI`.
3. Add `getParentURI` method when we construct the parent URI.

### Why are the changes needed?

We should not use `uri.getPath()` when constructing the Path which will not retain information like scheme. This means that `statCache` is not really taking any effect.
For example, if uri is "file:/foo.invalid.com:8080/tmp/testing", then

```
uri.getPath -> /foo.invalid.com:8080/tmp/testing
uri.toString -> file:/foo.invalid.com:8080/tmp/testing
```
Please also see more details from JIRA [ticket](https://issues.apache.org/jira/browse/SPARK-44272).
### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Add additional UT to validate the FileStatus is cached as expected.

Closes #41821 from shuwang21/fixcache.

Lead-authored-by: Shu Wang <swang7@linkedin.com>
Co-authored-by: Shu Wang <wangshu1990@gmail.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 0879a25c4c271dea6cd8f2a45e5c5e6e6743a962)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
---
 .../yarn/ClientDistributedCacheManager.scala  | 41 +++++++++-----
 .../ClientDistributedCacheManagerSuite.scala  | 55 +++++++++++++++++++
 2 files changed, 83 insertions(+), 13 deletions(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManager.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManager.scala
index 8add74428882b..6d50b5e4fd2da 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManager.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManager.scala
@@ -68,7 +68,7 @@ private[spark] class ClientDistributedCacheManager() extends Logging {
       link: String,
       statCache: Map[URI, FileStatus],
       appMasterOnly: Boolean = false): Unit = {
-    val destStatus = statCache.getOrElse(destPath.toUri(), fs.getFileStatus(destPath))
+    val destStatus = getFileStatus(fs, destPath.toUri, statCache)
     val amJarRsrc = Records.newRecord(classOf[LocalResource])
     amJarRsrc.setType(resourceType)
     val visibility = getVisibility(conf, destPath.toUri(), statCache)
@@ -119,46 +119,61 @@ private[spark] class ClientDistributedCacheManager() extends Logging {
    */
   private def isPublic(conf: Configuration, uri: URI, statCache: Map[URI, FileStatus]): Boolean = {
     val fs = FileSystem.get(uri, conf)
-    val current = new Path(uri.getPath())
     // the leaf level file should be readable by others
-    if (!checkPermissionOfOther(fs, current, FsAction.READ, statCache)) {
+    if (!checkPermissionOfOther(fs, uri, FsAction.READ, statCache)) {
       return false
     }
-    ancestorsHaveExecutePermissions(fs, current.getParent(), statCache)
+    ancestorsHaveExecutePermissions(fs, getParentURI(uri), statCache)
   }
 
   /**
-   * Returns true if all ancestors of the specified path have the 'execute'
+   * Get the Parent URI of the given URI. Notes that the query & fragment of original URI will not
+   * be inherited when obtaining parent URI.
+   *
+   * @return the parent URI, null if the given uri is the root
+   */
+  private[yarn] def getParentURI(uri: URI): URI = {
+    val path = new Path(uri.toString)
+    val parent = path.getParent()
+    if (parent == null) {
+      null
+    } else {
+      parent.toUri()
+    }
+  }
+
+  /**
+   * Returns true if all ancestors of the specified uri have the 'execute'
    * permission set for all users (i.e. that other users can traverse
-   * the directory hierarchy to the given path)
+   * the directory hierarchy to the given uri)
    * @return true if all ancestors have the 'execute' permission set for all users
    */
   private def ancestorsHaveExecutePermissions(
       fs: FileSystem,
-      path: Path,
+      uri: URI,
       statCache: Map[URI, FileStatus]): Boolean = {
-    var current = path
+    var current = uri
     while (current != null) {
-      // the subdirs in the path should have execute permissions for others
+      // the subdirs in the corresponding uri path should have execute permissions for others
       if (!checkPermissionOfOther(fs, current, FsAction.EXECUTE, statCache)) {
         return false
       }
-      current = current.getParent()
+      current = getParentURI(current)
     }
     true
   }
 
   /**
-   * Checks for a given path whether the Other permissions on it
+   * Checks for a given URI whether the Other permissions on it
    * imply the permission in the passed FsAction
    * @return true if the path in the uri is visible to all, false otherwise
    */
   private def checkPermissionOfOther(
       fs: FileSystem,
-      path: Path,
+      uri: URI,
       action: FsAction,
       statCache: Map[URI, FileStatus]): Boolean = {
-    val status = getFileStatus(fs, path.toUri(), statCache)
+    val status = getFileStatus(fs, uri, statCache)
     val perms = status.getPermission()
     val otherAction = perms.getOtherAction()
     otherAction.implies(action)
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManagerSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManagerSuite.scala
index 996654f7415a9..4e8971cbfa05d 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManagerSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientDistributedCacheManagerSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.deploy.yarn
 
 import java.net.URI
 
+import scala.collection.mutable
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.Map
 
@@ -44,6 +45,60 @@ class ClientDistributedCacheManagerSuite extends SparkFunSuite with MockitoSugar
     }
   }
 
+  test("SPARK-44272: test addResource added FileStatus to statCache and getVisibility can read" +
+    " from statCache") {
+    val distMgr = new ClientDistributedCacheManager() {
+      override private[yarn] def getFileStatus(fs: FileSystem, uri: URI,
+        statCache: mutable.Map[URI, FileStatus]): FileStatus = {
+        statCache.getOrElseUpdate(uri, new FileStatus())
+      }
+    }
+    val fs = mock[FileSystem]
+    val conf = new Configuration()
+    val destPathA = new Path("file:///foo.invalid.com:8080/tmp/A")
+    val localResources = HashMap[String, LocalResource]()
+    val statCache: Map[URI, FileStatus] = HashMap[URI, FileStatus]()
+    distMgr.addResource(fs, conf, destPathA, localResources, LocalResourceType.FILE, "link",
+      statCache, false)
+    assert(statCache.size === 2)
+    assert(statCache.contains(destPathA.toUri))
+    assert(statCache.contains(destPathA.getParent.toUri))
+
+    val destPathB = new Path("file:///foo.invalid.com:8080/tmp/B")
+    distMgr.addResource(fs, conf, destPathB, localResources, LocalResourceType.FILE, "link",
+      statCache, false)
+    assert(statCache.size === 3)
+    assert(statCache.contains(destPathB.toUri))
+
+    val destPathC = new Path("file:///foo.invalid.com:8080/root/C")
+    distMgr.addResource(fs, conf, destPathC, localResources, LocalResourceType.FILE, "link",
+      statCache, false)
+    assert(statCache.size === 5)
+    assert(statCache.contains(destPathC.toUri))
+    assert(statCache.contains(destPathC.getParent.toUri))
+  }
+
+  test("SPARK-44272: test getParentURI") {
+    val distMgr = new ClientDistributedCacheManager()
+    val scheme = "file"
+    val userInfo = "user"
+    val host = "foo.com"
+    val port = 8080
+    val path = "/tmp/testing"
+    val uri = new URI(scheme, userInfo, host, port, path, null, null)
+    val parentURI = distMgr.getParentURI(uri)
+    assert(uri.getScheme === parentURI.getScheme)
+    assert(uri.getUserInfo === parentURI.getUserInfo)
+    assert(uri.getHost === parentURI.getHost)
+    assert(uri.getPort === parentURI.getPort)
+    assert(new Path(uri.getPath).getParent.toString === parentURI.getPath)
+
+    val rootPath = "/"
+    val parentRootURI = distMgr.getParentURI(
+      new URI(scheme, userInfo, host, port, rootPath, null, null))
+    assert(parentRootURI === null)
+  }
+
   test("test getFileStatus empty") {
     val distMgr = new ClientDistributedCacheManager()
     val fs = mock[FileSystem]

From e6d3009265374ff2e6f431ca372f3a6f0f9554a9 Mon Sep 17 00:00:00 2001
From: Mathew Jacob <mathew.jacob@databricks.com>
Date: Wed, 19 Jul 2023 17:29:29 +0900
Subject: [PATCH 023/986] [SPARK-44264][ML][PYTHON] Support Distributed
 Training of Functions Using Deepspeed

Made the DeepspeedTorchDistributor run() method use the _run() function as the backbone.
It allows the user to run distributed training of a function with deepspeed easily.

This adds the ability for the user to pass in a function as the train_object when calling DeepspeedTorchDistributor.run(). The user must have all necessary imports within the function itself, and the function must be picklable. An example use case can be found in the python file linked in the JIRA ticket.

Notebook/file linked in the JIRA ticket. Formal e2e tests will come in future PR.

- [ ] Add more e2e tests for both running a regular pytorch file and running a function for training
- [ ] Write more documentation

Closes #42067 from mathewjacob1002/add_func_deepspeed.

Authored-by: Mathew Jacob <mathew.jacob@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 392f8d80c8cc4823ea513e78d452bba7f1a7d76c)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../ml/deepspeed/deepspeed_distributor.py      | 18 ++----------------
 1 file changed, 2 insertions(+), 16 deletions(-)

diff --git a/python/pyspark/ml/deepspeed/deepspeed_distributor.py b/python/pyspark/ml/deepspeed/deepspeed_distributor.py
index df1aac21e1f89..d6ae98de5e345 100644
--- a/python/pyspark/ml/deepspeed/deepspeed_distributor.py
+++ b/python/pyspark/ml/deepspeed/deepspeed_distributor.py
@@ -15,7 +15,6 @@
 # limitations under the License.
 #
 import json
-import os
 import sys
 import tempfile
 from typing import (
@@ -135,19 +134,6 @@ def _run_training_on_pytorch_file(
     def run(self, train_object: Union[Callable, str], *args: Any, **kwargs: Any) -> Optional[Any]:
         # If the "train_object" is a string, then we assume it's a filepath.
         # Otherwise, we assume it's a function.
-        if isinstance(train_object, str):
-            if os.path.exists(train_object) is False:
-                raise FileNotFoundError(f"The path to training file {train_object} does not exist.")
-            framework_wrapper_fn = DeepspeedTorchDistributor._run_training_on_pytorch_file
-        else:
-            raise RuntimeError("Python training functions aren't supported as inputs at this time")
-
-        if self.local_mode:
-            return self._run_local_training(framework_wrapper_fn, train_object, *args, **kwargs)
-        return self._run_distributed_training(
-            framework_wrapper_fn,
-            train_object,
-            spark_dataframe=None,
-            *args,
-            **kwargs,  # type:ignore[misc]
+        return self._run(
+            train_object, DeepspeedTorchDistributor._run_training_on_pytorch_file, *args, **kwargs
         )

From 3107c1e642b5efe7fd88329197d912f72f711c80 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 19 Jul 2023 18:02:27 +0900
Subject: [PATCH 024/986] [SPARK-44361][SQL][FOLLOW-UP] Remove unused variables
 and fix import statements

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/42024 that removes unused variables and fix import statements (which should be the part of the whole refactoring).

### Why are the changes needed?

To properly cleanup.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests should covoer

Closes #42068 from HyukjinKwon/SPARK-44361-followup.

Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit bca28f87ae12ffe3b49c78503af580b503f120ee)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../python/MapInBatchEvaluatorFactory.scala   | 25 ++++++++-----------
 .../sql/execution/python/MapInBatchExec.scala |  6 -----
 2 files changed, 11 insertions(+), 20 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala
index efb063476a41e..1e15aa7f777bf 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala
@@ -19,9 +19,8 @@ package org.apache.spark.sql.execution.python
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.{ContextAwareIterator, TaskContext}
-import org.apache.spark.{PartitionEvaluator, PartitionEvaluatorFactory}
-import org.apache.spark.api.python.{ChainedPythonFunctions}
+import org.apache.spark.{ContextAwareIterator, PartitionEvaluator, PartitionEvaluatorFactory, TaskContext}
+import org.apache.spark.api.python.ChainedPythonFunctions
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.execution.metric.SQLMetric
@@ -76,17 +75,15 @@ class MapInBatchEvaluatorFactory(
 
       val unsafeProj = UnsafeProjection.create(output, output)
 
-      columnarBatchIter
-        .flatMap { batch =>
-          // Scalar Iterator UDF returns a StructType column in ColumnarBatch, select
-          // the children here
-          val structVector = batch.column(0).asInstanceOf[ArrowColumnVector]
-          val outputVectors = output.indices.map(structVector.getChild)
-          val flattenedBatch = new ColumnarBatch(outputVectors.toArray)
-          flattenedBatch.setNumRows(batch.numRows())
-          flattenedBatch.rowIterator.asScala
-        }
-        .map(unsafeProj)
+      columnarBatchIter.flatMap { batch =>
+        // Scalar Iterator UDF returns a StructType column in ColumnarBatch, select
+        // the children here
+        val structVector = batch.column(0).asInstanceOf[ArrowColumnVector]
+        val outputVectors = output.indices.map(structVector.getChild)
+        val flattenedBatch = new ColumnarBatch(outputVectors.toArray)
+        flattenedBatch.setNumRows(batch.numRows())
+        flattenedBatch.rowIterator.asScala
+      }.map(unsafeProj)
     }
   }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
index 0703f57c33d38..368184934fa03 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
@@ -39,14 +39,8 @@ trait MapInBatchExec extends UnaryExecNode with PythonSQLMetrics {
 
   protected val isBarrier: Boolean
 
-  private val pythonFunction = func.asInstanceOf[PythonUDF].func
-
   override def producedAttributes: AttributeSet = AttributeSet(output)
 
-  private val batchSize = conf.arrowMaxRecordsPerBatch
-
-  private val largeVarTypes = conf.arrowUseLargeVarTypes
-
   private[this] val jobArtifactUUID = JobArtifactSet.getCurrentJobArtifactState.map(_.uuid)
 
   override def outputPartitioning: Partitioning = child.outputPartitioning

From 244d02be8e4535458d2c12be7b461aa1b1e497f6 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 19 Jul 2023 09:26:26 -0400
Subject: [PATCH 025/986] [SPARK-44396][CONNECT] Direct Arrow Deserialization

### What changes were proposed in this pull request?
This PR adds direct arrow to user object deserialization to the Spark Connect Scala Client.

### Why are the changes needed?
We want to decouple the scala client from catalyst. We need a way to encode user object from and to arrrow.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added tests to `ArrowEncoderSuite`.

Closes #42011 from hvanhovell/SPARK-44396.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 5939b75b5fe701cb63fedc64f57c9f0a15ef9202)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 connector/connect/client/jvm/pom.xml          |  19 +
 .../client/arrow/ScalaCollectionUtils.scala   |  38 ++
 .../client/arrow/ScalaCollectionUtils.scala   |  37 ++
 .../sql/connect/client/SparkResult.scala      | 230 +++++---
 .../client/arrow/ArrowDeserializer.scala      | 533 ++++++++++++++++++
 .../client/arrow/ArrowEncoderUtils.scala      |   3 +
 .../ConcatenatingArrowStreamReader.scala      | 185 ++++++
 .../apache/spark/sql/ClientE2ETestSuite.scala |  49 +-
 .../KeyValueGroupedDatasetE2ETestSuite.scala  |  36 +-
 .../spark/sql/application/ReplE2ESuite.scala  |   6 +-
 .../client/arrow/ArrowEncoderSuite.scala      | 127 +++--
 11 files changed, 1085 insertions(+), 178 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
 create mode 100644 connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala

diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 8a51bf65d6a88..0f6783cbd685b 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -140,6 +140,7 @@
     </dependency>
   </dependencies>
   <build>
+    <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
     <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
     <plugins>
       <!-- Shade all Guava / Protobuf / Netty dependencies of this build -->
@@ -224,6 +225,24 @@
           </execution>
         </executions>
       </plugin>
+      <plugin>
+        <groupId>org.codehaus.mojo</groupId>
+        <artifactId>build-helper-maven-plugin</artifactId>
+        <executions>
+          <execution>
+            <id>add-sources</id>
+            <phase>generate-sources</phase>
+            <goals>
+              <goal>add-source</goal>
+            </goals>
+            <configuration>
+              <sources>
+                <source>src/main/scala-${scala.binary.version}</source>
+              </sources>
+            </configuration>
+          </execution>
+        </executions>
+      </plugin>
     </plugins>
   </build>
 </project>
\ No newline at end of file
diff --git a/connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala b/connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
new file mode 100644
index 0000000000000..c2e01d974e0e4
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client.arrow
+
+import scala.collection.generic.{GenericCompanion, GenMapFactory}
+import scala.collection.mutable
+import scala.reflect.ClassTag
+
+import org.apache.spark.sql.connect.client.arrow.ArrowDeserializers.resolveCompanion
+
+/**
+ * A couple of scala version specific collection utility functions.
+ */
+private[arrow] object ScalaCollectionUtils {
+  def getIterableCompanion(tag: ClassTag[_]): GenericCompanion[Iterable] = {
+    ArrowDeserializers.resolveCompanion[GenericCompanion[Iterable]](tag)
+  }
+  def getMapCompanion(tag: ClassTag[_]): GenMapFactory[Map] = {
+    resolveCompanion[GenMapFactory[Map]](tag)
+  }
+  def wrap[T](array: AnyRef): mutable.WrappedArray[T] = {
+    mutable.WrappedArray.make(array)
+  }
+}
diff --git a/connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala b/connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
new file mode 100644
index 0000000000000..8a80e34162283
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
@@ -0,0 +1,37 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client.arrow
+
+import scala.collection.{mutable, IterableFactory, MapFactory}
+import scala.reflect.ClassTag
+
+import org.apache.spark.sql.connect.client.arrow.ArrowDeserializers.resolveCompanion
+
+/**
+ * A couple of scala version specific collection utility functions.
+ */
+private[arrow] object ScalaCollectionUtils {
+  def getIterableCompanion(tag: ClassTag[_]): IterableFactory[Iterable] = {
+    ArrowDeserializers.resolveCompanion[IterableFactory[Iterable]](tag)
+  }
+  def getMapCompanion(tag: ClassTag[_]): MapFactory[Map] = {
+    resolveCompanion[MapFactory[Map]](tag)
+  }
+  def wrap[T](array: AnyRef): mutable.WrappedArray[T] = {
+    mutable.WrappedArray.make(array.asInstanceOf[Array[T]])
+  }
+}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index a727c86f70fc6..1cdc2035de60b 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -16,53 +16,48 @@
  */
 package org.apache.spark.sql.connect.client
 
-import java.util.Collections
+import java.util.Objects
 
-import scala.collection.JavaConverters._
 import scala.collection.mutable
 
 import org.apache.arrow.memory.BufferAllocator
-import org.apache.arrow.vector.FieldVector
-import org.apache.arrow.vector.ipc.ArrowStreamReader
+import org.apache.arrow.vector.ipc.message.{ArrowMessage, ArrowRecordBatch}
+import org.apache.arrow.vector.types.pojo
 
 import org.apache.spark.connect.proto
-import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, RowEncoder}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ProductEncoder, UnboundRowEncoder}
-import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.Deserializer
-import org.apache.spark.sql.catalyst.types.DataTypeUtils
-import org.apache.spark.sql.connect.client.util.{AutoCloseables, Cleanable}
+import org.apache.spark.sql.connect.client.arrow.{AbstractMessageIterator, ArrowDeserializingIterator, CloseableIterator, ConcatenatingArrowStreamReader, MessageIterator}
+import org.apache.spark.sql.connect.client.util.Cleanable
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter
 import org.apache.spark.sql.types.{DataType, StructType}
 import org.apache.spark.sql.util.ArrowUtils
-import org.apache.spark.sql.vectorized.{ArrowColumnVector, ColumnarBatch, ColumnVector}
 
 private[sql] class SparkResult[T](
     responses: java.util.Iterator[proto.ExecutePlanResponse],
     allocator: BufferAllocator,
     encoder: AgnosticEncoder[T])
     extends AutoCloseable
-    with Cleanable {
+    with Cleanable { self =>
 
   private[this] var numRecords: Int = 0
   private[this] var structType: StructType = _
-  private[this] var boundEncoder: ExpressionEncoder[T] = _
-  private[this] var nextBatchIndex: Int = 0
-  private val idxToBatches = mutable.Map.empty[Int, ColumnarBatch]
-
-  private def createEncoder(schema: StructType): ExpressionEncoder[T] = {
-    val agnosticEncoder = createEncoder(encoder, schema).asInstanceOf[AgnosticEncoder[T]]
-    ExpressionEncoder(agnosticEncoder)
-  }
+  private[this] var arrowSchema: pojo.Schema = _
+  private[this] var nextResultIndex: Int = 0
+  private val resultMap = mutable.Map.empty[Int, (Long, Seq[ArrowMessage])]
 
   /**
    * Update RowEncoder and recursively update the fields of the ProductEncoder if found.
    */
-  private def createEncoder(enc: AgnosticEncoder[_], dataType: DataType): AgnosticEncoder[_] = {
+  private def createEncoder[E](
+      enc: AgnosticEncoder[E],
+      dataType: DataType): AgnosticEncoder[E] = {
     enc match {
       case UnboundRowEncoder =>
         // Replace the row encoder with the encoder inferred from the schema.
-        RowEncoder.encoderFor(dataType.asInstanceOf[StructType])
+        RowEncoder
+          .encoderFor(dataType.asInstanceOf[StructType])
+          .asInstanceOf[AgnosticEncoder[E]]
       case ProductEncoder(clsTag, fields) if ProductEncoder.isTuple(clsTag) =>
         // Recursively continue updating the tuple product encoder
         val schema = dataType.asInstanceOf[StructType]
@@ -76,53 +71,61 @@ private[sql] class SparkResult[T](
     }
   }
 
-  private def processResponses(stopOnFirstNonEmptyResponse: Boolean): Boolean = {
-    while (responses.hasNext) {
+  private def processResponses(
+      stopOnSchema: Boolean = false,
+      stopOnArrowSchema: Boolean = false,
+      stopOnFirstNonEmptyResponse: Boolean = false): Boolean = {
+    var nonEmpty = false
+    var stop = false
+    while (!stop && responses.hasNext) {
       val response = responses.next()
       if (response.hasSchema) {
         // The original schema should arrive before ArrowBatches.
         structType =
           DataTypeProtoConverter.toCatalystType(response.getSchema).asInstanceOf[StructType]
-      } else if (response.hasArrowBatch) {
+        stop |= stopOnSchema
+      }
+      if (response.hasArrowBatch) {
         val ipcStreamBytes = response.getArrowBatch.getData
-        val reader = new ArrowStreamReader(ipcStreamBytes.newInput(), allocator)
-        try {
-          val root = reader.getVectorSchemaRoot
-          if (structType == null) {
-            // If the schema is not available yet, fallback to the schema from Arrow.
-            structType = ArrowUtils.fromArrowSchema(root.getSchema)
-          }
-          // TODO: create encoders that directly operate on arrow vectors.
-          if (boundEncoder == null) {
-            boundEncoder = createEncoder(structType)
-              .resolveAndBind(DataTypeUtils.toAttributes(structType))
-          }
-          while (reader.loadNextBatch()) {
-            val rowCount = root.getRowCount
-            if (rowCount > 0) {
-              val vectors = root.getFieldVectors.asScala
-                .map(v => new ArrowColumnVector(transferToNewVector(v)))
-                .toArray[ColumnVector]
-              idxToBatches.put(nextBatchIndex, new ColumnarBatch(vectors, rowCount))
-              nextBatchIndex += 1
-              numRecords += rowCount
-              if (stopOnFirstNonEmptyResponse) {
-                return true
-              }
-            }
+        val reader = new MessageIterator(ipcStreamBytes.newInput(), allocator)
+        if (arrowSchema == null) {
+          arrowSchema = reader.schema
+          stop |= stopOnArrowSchema
+        } else if (arrowSchema != reader.schema) {
+          throw new IllegalStateException(
+            s"""Schema Mismatch between expected and received schema:
+               |=== Expected Schema ===
+               |$arrowSchema
+               |=== Received Schema ===
+               |${reader.schema}
+               |""".stripMargin)
+        }
+        if (structType == null) {
+          // If the schema is not available yet, fallback to the arrow schema.
+          structType = ArrowUtils.fromArrowSchema(reader.schema)
+        }
+        var numRecordsInBatch = 0
+        val messages = Seq.newBuilder[ArrowMessage]
+        while (reader.hasNext) {
+          val message = reader.next()
+          message match {
+            case batch: ArrowRecordBatch =>
+              numRecordsInBatch += batch.getLength
+            case _ =>
           }
-        } finally {
-          reader.close()
+          messages += message
+        }
+        // Skip the entire result if it is empty.
+        if (numRecordsInBatch > 0) {
+          numRecords += numRecordsInBatch
+          resultMap.put(nextResultIndex, (reader.bytesRead, messages.result()))
+          nextResultIndex += 1
+          nonEmpty |= true
+          stop |= stopOnFirstNonEmptyResponse
         }
       }
     }
-    false
-  }
-
-  private def transferToNewVector(in: FieldVector): FieldVector = {
-    val pair = in.getTransferPair(allocator)
-    pair.transfer()
-    pair.getTo.asInstanceOf[FieldVector]
+    nonEmpty
   }
 
   /**
@@ -130,7 +133,7 @@ private[sql] class SparkResult[T](
    */
   def length: Int = {
     // We need to process all responses to make sure numRecords is correct.
-    processResponses(stopOnFirstNonEmptyResponse = false)
+    processResponses()
     numRecords
   }
 
@@ -139,7 +142,9 @@ private[sql] class SparkResult[T](
    *   the schema of the result.
    */
   def schema: StructType = {
-    processResponses(stopOnFirstNonEmptyResponse = true)
+    if (structType == null) {
+      processResponses(stopOnSchema = true)
+    }
     structType
   }
 
@@ -172,52 +177,93 @@ private[sql] class SparkResult[T](
 
   private def buildIterator(destructive: Boolean): java.util.Iterator[T] with AutoCloseable = {
     new java.util.Iterator[T] with AutoCloseable {
-      private[this] var batchIndex: Int = -1
-      private[this] var iterator: java.util.Iterator[InternalRow] = Collections.emptyIterator()
-      private[this] var deserializer: Deserializer[T] = _
+      private[this] var iterator: CloseableIterator[T] = _
 
-      override def hasNext: Boolean = {
-        if (iterator.hasNext) {
-          return true
-        }
-
-        val nextBatchIndex = batchIndex + 1
-        if (destructive) {
-          idxToBatches.remove(batchIndex).foreach(_.close())
+      private def initialize(): Unit = {
+        if (iterator == null) {
+          iterator = new ArrowDeserializingIterator(
+            createEncoder(encoder, schema),
+            new ConcatenatingArrowStreamReader(
+              allocator,
+              Iterator.single(new ResultMessageIterator(destructive)),
+              destructive))
         }
+      }
 
-        val hasNextBatch = if (!idxToBatches.contains(nextBatchIndex)) {
-          processResponses(stopOnFirstNonEmptyResponse = true)
-        } else {
-          true
-        }
-        if (hasNextBatch) {
-          batchIndex = nextBatchIndex
-          iterator = idxToBatches(nextBatchIndex).rowIterator()
-          if (deserializer == null) {
-            deserializer = boundEncoder.createDeserializer()
-          }
-        }
-        hasNextBatch
+      override def hasNext: Boolean = {
+        initialize()
+        iterator.hasNext
       }
 
       override def next(): T = {
-        if (!hasNext) {
-          throw new NoSuchElementException
-        }
-        deserializer(iterator.next())
+        initialize()
+        iterator.next()
       }
 
-      override def close(): Unit = SparkResult.this.close()
+      override def close(): Unit = {
+        if (iterator != null) {
+          iterator.close()
+        }
+      }
     }
   }
 
   /**
    * Close this result, freeing any underlying resources.
    */
-  override def close(): Unit = {
-    idxToBatches.values.foreach(_.close())
+  override def close(): Unit = cleaner.close()
+
+  override val cleaner: AutoCloseable = new SparkResultCloseable(resultMap)
+
+  private class ResultMessageIterator(destructive: Boolean) extends AbstractMessageIterator {
+    private[this] var totalBytesRead = 0L
+    private[this] var nextResultIndex = 0
+    private[this] var current: Iterator[ArrowMessage] = Iterator.empty
+
+    override def bytesRead: Long = totalBytesRead
+
+    override def schema: pojo.Schema = {
+      if (arrowSchema == null) {
+        // We need a schema to proceed. Spark Connect will always
+        // return a result (with a schema) even if the result is empty.
+        processResponses(stopOnArrowSchema = true)
+        Objects.requireNonNull(arrowSchema)
+      }
+      arrowSchema
+    }
+
+    override def hasNext: Boolean = {
+      if (current.hasNext) {
+        return true
+      }
+      val hasNextResult = if (!resultMap.contains(nextResultIndex)) {
+        self.processResponses(stopOnFirstNonEmptyResponse = true)
+      } else {
+        true
+      }
+      if (hasNextResult) {
+        val Some((sizeInBytes, messages)) = if (destructive) {
+          resultMap.remove(nextResultIndex)
+        } else {
+          resultMap.get(nextResultIndex)
+        }
+        totalBytesRead += sizeInBytes
+        current = messages.iterator
+        nextResultIndex += 1
+      }
+      hasNextResult
+    }
+
+    override def next(): ArrowMessage = {
+      if (!hasNext) {
+        throw new NoSuchElementException()
+      }
+      current.next()
+    }
   }
+}
 
-  override def cleaner: AutoCloseable = AutoCloseables(idxToBatches.values.toSeq)
+private[client] class SparkResultCloseable(resultMap: mutable.Map[Int, (Long, Seq[ArrowMessage])])
+    extends AutoCloseable {
+  override def close(): Unit = resultMap.values.foreach(_._2.foreach(_.close()))
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
new file mode 100644
index 0000000000000..154866d699a34
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -0,0 +1,533 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client.arrow
+
+import java.io.{ByteArrayInputStream, IOException}
+import java.lang.invoke.{MethodHandles, MethodType}
+import java.lang.reflect.Modifier
+import java.math.{BigDecimal => JBigDecimal, BigInteger => JBigInteger}
+import java.time._
+import java.util
+import java.util.{List => JList, Locale, Map => JMap}
+
+import scala.collection.mutable
+import scala.reflect.ClassTag
+
+import org.apache.arrow.memory.BufferAllocator
+import org.apache.arrow.vector.{BigIntVector, BitVector, DateDayVector, DecimalVector, DurationVector, FieldVector, Float4Vector, Float8Vector, IntervalYearVector, IntVector, NullVector, SmallIntVector, TimeStampMicroTZVector, TimeStampMicroVector, TinyIntVector, VarBinaryVector, VarCharVector, VectorSchemaRoot}
+import org.apache.arrow.vector.complex.{ListVector, MapVector, StructVector}
+import org.apache.arrow.vector.ipc.ArrowReader
+import org.apache.arrow.vector.util.Text
+
+import org.apache.spark.sql.catalyst.ScalaReflection
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
+import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
+import org.apache.spark.sql.catalyst.util.DateTimeUtils
+import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
+import org.apache.spark.sql.types.Decimal
+
+/**
+ * Helper class for converting arrow batches into user objects.
+ */
+object ArrowDeserializers {
+  import ArrowEncoderUtils._
+
+  /**
+   * Create an Iterator of `T`. This iterator takes an Iterator of Arrow IPC Streams, and
+   * deserializes these streams into one or more instances of `T`
+   */
+  def deserializeFromArrow[T](
+      input: Iterator[Array[Byte]],
+      encoder: AgnosticEncoder[T],
+      allocator: BufferAllocator): CloseableIterator[T] = {
+    try {
+      val reader = new ConcatenatingArrowStreamReader(
+        allocator,
+        input.map(bytes => new MessageIterator(new ByteArrayInputStream(bytes), allocator)),
+        destructive = true)
+      new ArrowDeserializingIterator(encoder, reader)
+    } catch {
+      case _: IOException =>
+        new EmptyDeserializingIterator(encoder)
+    }
+  }
+
+  /**
+   * Create a deserializer of `T` on top of the given `root`.
+   */
+  private[arrow] def deserializerFor[T](
+      encoder: AgnosticEncoder[T],
+      root: VectorSchemaRoot): Deserializer[T] = {
+    val data: AnyRef = if (encoder.isStruct) {
+      root
+    } else {
+      // The input schema is allowed to have multiple columns,
+      // by convention we bind to the first one.
+      root.getVector(0)
+    }
+    deserializerFor(encoder, data).asInstanceOf[Deserializer[T]]
+  }
+
+  private[arrow] def deserializerFor(
+      encoder: AgnosticEncoder[_],
+      data: AnyRef): Deserializer[Any] = {
+    (encoder, data) match {
+      case (PrimitiveBooleanEncoder | BoxedBooleanEncoder, v: BitVector) =>
+        new FieldDeserializer[Boolean, BitVector](v) {
+          def value(i: Int): Boolean = vector.get(i) != 0
+        }
+      case (PrimitiveByteEncoder | BoxedByteEncoder, v: TinyIntVector) =>
+        new FieldDeserializer[Byte, TinyIntVector](v) {
+          def value(i: Int): Byte = vector.get(i)
+        }
+      case (PrimitiveShortEncoder | BoxedShortEncoder, v: SmallIntVector) =>
+        new FieldDeserializer[Short, SmallIntVector](v) {
+          def value(i: Int): Short = vector.get(i)
+        }
+      case (PrimitiveIntEncoder | BoxedIntEncoder, v: IntVector) =>
+        new FieldDeserializer[Int, IntVector](v) {
+          def value(i: Int): Int = vector.get(i)
+        }
+      case (PrimitiveLongEncoder | BoxedLongEncoder, v: BigIntVector) =>
+        new FieldDeserializer[Long, BigIntVector](v) {
+          def value(i: Int): Long = vector.get(i)
+        }
+      case (PrimitiveFloatEncoder | BoxedFloatEncoder, v: Float4Vector) =>
+        new FieldDeserializer[Float, Float4Vector](v) {
+          def value(i: Int): Float = vector.get(i)
+        }
+      case (PrimitiveDoubleEncoder | BoxedDoubleEncoder, v: Float8Vector) =>
+        new FieldDeserializer[Double, Float8Vector](v) {
+          def value(i: Int): Double = vector.get(i)
+        }
+      case (NullEncoder, v: NullVector) =>
+        new FieldDeserializer[Any, NullVector](v) {
+          def value(i: Int): Any = null
+        }
+      case (StringEncoder, v: VarCharVector) =>
+        new FieldDeserializer[String, VarCharVector](v) {
+          def value(i: Int): String = getString(vector, i)
+        }
+      case (JavaEnumEncoder(tag), v: VarCharVector) =>
+        // It would be nice if we can get Enum.valueOf working...
+        val valueOf = methodLookup.findStatic(
+          tag.runtimeClass,
+          "valueOf",
+          MethodType.methodType(tag.runtimeClass, classOf[String]))
+        new FieldDeserializer[Enum[_], VarCharVector](v) {
+          def value(i: Int): Enum[_] = {
+            valueOf.invoke(getString(vector, i)).asInstanceOf[Enum[_]]
+          }
+        }
+      case (ScalaEnumEncoder(parent, _), v: VarCharVector) =>
+        val mirror = scala.reflect.runtime.currentMirror
+        val module = mirror.classSymbol(parent).module.asModule
+        val enumeration = mirror.reflectModule(module).instance.asInstanceOf[Enumeration]
+        new FieldDeserializer[Enumeration#Value, VarCharVector](v) {
+          def value(i: Int): Enumeration#Value = enumeration.withName(getString(vector, i))
+        }
+      case (BinaryEncoder, v: VarBinaryVector) =>
+        new FieldDeserializer[Array[Byte], VarBinaryVector](v) {
+          def value(i: Int): Array[Byte] = vector.get(i)
+        }
+      case (SparkDecimalEncoder(_), v: DecimalVector) =>
+        new FieldDeserializer[Decimal, DecimalVector](v) {
+          def value(i: Int): Decimal = Decimal(vector.getObject(i))
+        }
+      case (ScalaDecimalEncoder(_), v: DecimalVector) =>
+        new FieldDeserializer[BigDecimal, DecimalVector](v) {
+          def value(i: Int): BigDecimal = BigDecimal(vector.getObject(i))
+        }
+      case (JavaDecimalEncoder(_, _), v: DecimalVector) =>
+        new FieldDeserializer[JBigDecimal, DecimalVector](v) {
+          def value(i: Int): JBigDecimal = vector.getObject(i)
+        }
+      case (ScalaBigIntEncoder, v: DecimalVector) =>
+        new FieldDeserializer[BigInt, DecimalVector](v) {
+          def value(i: Int): BigInt = new BigInt(vector.getObject(i).toBigInteger)
+        }
+      case (JavaBigIntEncoder, v: DecimalVector) =>
+        new FieldDeserializer[JBigInteger, DecimalVector](v) {
+          def value(i: Int): JBigInteger = vector.getObject(i).toBigInteger
+        }
+      case (DayTimeIntervalEncoder, v: DurationVector) =>
+        new FieldDeserializer[Duration, DurationVector](v) {
+          def value(i: Int): Duration = vector.getObject(i)
+        }
+      case (YearMonthIntervalEncoder, v: IntervalYearVector) =>
+        new FieldDeserializer[Period, IntervalYearVector](v) {
+          def value(i: Int): Period = vector.getObject(i).normalized()
+        }
+      case (DateEncoder(_), v: DateDayVector) =>
+        new FieldDeserializer[java.sql.Date, DateDayVector](v) {
+          def value(i: Int): java.sql.Date = DateTimeUtils.toJavaDate(vector.get(i))
+        }
+      case (LocalDateEncoder(_), v: DateDayVector) =>
+        new FieldDeserializer[LocalDate, DateDayVector](v) {
+          def value(i: Int): LocalDate = DateTimeUtils.daysToLocalDate(vector.get(i))
+        }
+      case (TimestampEncoder(_), v: TimeStampMicroTZVector) =>
+        new FieldDeserializer[java.sql.Timestamp, TimeStampMicroTZVector](v) {
+          def value(i: Int): java.sql.Timestamp = DateTimeUtils.toJavaTimestamp(vector.get(i))
+        }
+      case (InstantEncoder(_), v: TimeStampMicroTZVector) =>
+        new FieldDeserializer[Instant, TimeStampMicroTZVector](v) {
+          def value(i: Int): Instant = DateTimeUtils.microsToInstant(vector.get(i))
+        }
+      case (LocalDateTimeEncoder, v: TimeStampMicroVector) =>
+        new FieldDeserializer[LocalDateTime, TimeStampMicroVector](v) {
+          def value(i: Int): LocalDateTime = DateTimeUtils.microsToLocalDateTime(vector.get(i))
+        }
+
+      case (OptionEncoder(value), v) =>
+        val deserializer = deserializerFor(value, v)
+        new Deserializer[Any] {
+          override def get(i: Int): Any = Option(deserializer.get(i))
+        }
+
+      case (ArrayEncoder(element, _), v: ListVector) =>
+        val deserializer = deserializerFor(element, v.getDataVector)
+        new FieldDeserializer[AnyRef, ListVector](v) {
+          def value(i: Int): AnyRef = getArray(vector, i, deserializer)(element.clsTag)
+        }
+
+      case (IterableEncoder(tag, element, _, _), v: ListVector) =>
+        val deserializer = deserializerFor(element, v.getDataVector)
+        if (isSubClass(Classes.WRAPPED_ARRAY, tag)) {
+          // Wrapped array is a bit special because we need to use an array of the element type.
+          // Some parts of our codebase (unfortunately) rely on this for type inference on results.
+          new FieldDeserializer[mutable.WrappedArray[Any], ListVector](v) {
+            def value(i: Int): mutable.WrappedArray[Any] = {
+              val array = getArray(vector, i, deserializer)(element.clsTag)
+              ScalaCollectionUtils.wrap(array)
+            }
+          }
+        } else if (isSubClass(Classes.ITERABLE, tag)) {
+          val companion = ScalaCollectionUtils.getIterableCompanion(tag)
+          new FieldDeserializer[Iterable[Any], ListVector](v) {
+            def value(i: Int): Iterable[Any] = {
+              val builder = companion.newBuilder[Any]
+              loadListIntoBuilder(vector, i, deserializer, builder)
+              builder.result()
+            }
+          }
+        } else if (isSubClass(Classes.JLIST, tag)) {
+          val newInstance = resolveJavaListCreator(tag)
+          new FieldDeserializer[JList[Any], ListVector](v) {
+            def value(i: Int): JList[Any] = {
+              var index = v.getElementStartIndex(i)
+              val end = v.getElementEndIndex(i)
+              val list = newInstance(end - index)
+              while (index < end) {
+                list.add(deserializer.get(index))
+                index += 1
+              }
+              list
+            }
+          }
+        } else {
+          throw unsupportedCollectionType(tag.runtimeClass)
+        }
+
+      case (MapEncoder(tag, key, value, _), v: MapVector) =>
+        val structVector = v.getDataVector.asInstanceOf[StructVector]
+        val keyDeserializer = deserializerFor(key, structVector.getChild(MapVector.KEY_NAME))
+        val valueDeserializer =
+          deserializerFor(value, structVector.getChild(MapVector.VALUE_NAME))
+        if (isSubClass(Classes.MAP, tag)) {
+          val companion = ScalaCollectionUtils.getMapCompanion(tag)
+          new FieldDeserializer[Map[Any, Any], MapVector](v) {
+            def value(i: Int): Map[Any, Any] = {
+              val builder = companion.newBuilder[Any, Any]
+              var index = v.getElementStartIndex(i)
+              val end = v.getElementEndIndex(i)
+              builder.sizeHint(end - index)
+              while (index < end) {
+                builder += (keyDeserializer.get(index) -> valueDeserializer.get(index))
+                index += 1
+              }
+              builder.result()
+            }
+          }
+        } else if (isSubClass(Classes.JMAP, tag)) {
+          val newInstance = resolveJavaMapCreator(tag)
+          new FieldDeserializer[JMap[Any, Any], MapVector](v) {
+            def value(i: Int): JMap[Any, Any] = {
+              val map = newInstance()
+              var index = v.getElementStartIndex(i)
+              val end = v.getElementEndIndex(i)
+              while (index < end) {
+                map.put(keyDeserializer.get(index), valueDeserializer.get(index))
+                index += 1
+              }
+              map
+            }
+          }
+        } else {
+          throw unsupportedCollectionType(tag.runtimeClass)
+        }
+
+      case (ProductEncoder(tag, fields), StructVectors(struct, vectors)) =>
+        // We should try to make this work with MethodHandles.
+        val Some(constructor) =
+          ScalaReflection.findConstructor(tag.runtimeClass, fields.map(_.enc.clsTag.runtimeClass))
+        val deserializers = if (isTuple(tag.runtimeClass)) {
+          fields.zip(vectors).map { case (field, vector) =>
+            deserializerFor(field.enc, vector)
+          }
+        } else {
+          val lookup = createFieldLookup(vectors)
+          fields.map { field =>
+            deserializerFor(field.enc, lookup(field.name))
+          }
+        }
+        new StructFieldSerializer[Any](struct) {
+          def value(i: Int): Any = {
+            constructor(deserializers.map(_.get(i).asInstanceOf[AnyRef]))
+          }
+        }
+
+      case (r @ RowEncoder(fields), StructVectors(struct, vectors)) =>
+        val lookup = createFieldLookup(vectors)
+        val deserializers = fields.toArray.map { field =>
+          deserializerFor(field.enc, lookup(field.name))
+        }
+        new StructFieldSerializer[Any](struct) {
+          def value(i: Int): Any = {
+            val values = deserializers.map(_.get(i))
+            new GenericRowWithSchema(values, r.schema)
+          }
+        }
+
+      case (JavaBeanEncoder(tag, fields), StructVectors(struct, vectors)) =>
+        val constructor =
+          methodLookup.findConstructor(tag.runtimeClass, MethodType.methodType(classOf[Unit]))
+        val lookup = createFieldLookup(vectors)
+        val setters = fields.map { field =>
+          val vector = lookup(field.name)
+          val deserializer = deserializerFor(field.enc, vector)
+          val setter = methodLookup.findVirtual(
+            tag.runtimeClass,
+            field.writeMethod.get,
+            MethodType.methodType(classOf[Unit], field.enc.clsTag.runtimeClass))
+          (bean: Any, i: Int) => setter.invoke(bean, deserializer.get(i))
+        }
+        new StructFieldSerializer[Any](struct) {
+          def value(i: Int): Any = {
+            val instance = constructor.invoke()
+            setters.foreach(_(instance, i))
+            instance
+          }
+        }
+
+      case (CalendarIntervalEncoder | _: UDTEncoder[_], _) =>
+        throw QueryExecutionErrors.unsupportedDataTypeError(encoder.dataType)
+
+      case _ =>
+        throw new RuntimeException(
+          s"Unsupported Encoder($encoder)/Vector(${data.getClass}) combination.")
+    }
+  }
+
+  private val methodLookup = MethodHandles.lookup()
+
+  /**
+   * Resolve the companion object for a scala class. In our particular case the class we pass in
+   * is a Scala collection. We use the companion to create a builder for that collection.
+   */
+  private[arrow] def resolveCompanion[T](tag: ClassTag[_]): T = {
+    val mirror = scala.reflect.runtime.currentMirror
+    val module = mirror.classSymbol(tag.runtimeClass).companion.asModule
+    mirror.reflectModule(module).instance.asInstanceOf[T]
+  }
+
+  /**
+   * Create a function that creates a [[util.List]] instance. The int parameter of the creator
+   * function is a size hint.
+   *
+   * If the [[ClassTag]] `tag` points to an interface instead of a concrete class we try to use
+   * [[util.ArrayList]]. For concrete classes we try to use a constructor that takes a single
+   * [[Int]] argument, it is assumed this is a size hint. If no such constructor exists we
+   * fallback to a no-args constructor.
+   */
+  private def resolveJavaListCreator(tag: ClassTag[_]): Int => JList[Any] = {
+    val cls = tag.runtimeClass
+    val modifiers = cls.getModifiers
+    if (Modifier.isInterface(modifiers) || Modifier.isAbstract(modifiers)) {
+      // Abstract class or interface; we try to use ArrayList.
+      if (!cls.isAssignableFrom(classOf[util.ArrayList[_]])) {
+        unsupportedCollectionType(cls)
+      }
+      (size: Int) => new util.ArrayList[Any](size)
+    } else {
+      try {
+        // Try to use a constructor that (hopefully) takes a size argument.
+        val ctor = methodLookup.findConstructor(
+          tag.runtimeClass,
+          MethodType.methodType(classOf[Unit], Integer.TYPE))
+        size => ctor.invoke(size).asInstanceOf[JList[Any]]
+      } catch {
+        case _: java.lang.NoSuchMethodException =>
+          // Use a no-args constructor.
+          val ctor =
+            methodLookup.findConstructor(tag.runtimeClass, MethodType.methodType(classOf[Unit]))
+          _ => ctor.invoke().asInstanceOf[JList[Any]]
+      }
+    }
+  }
+
+  /**
+   * Create a function that creates a [[util.Map]] instance.
+   *
+   * If the [[ClassTag]] `tag` points to an interface instead of a concrete class we try to use
+   * [[util.HashMap]]. For concrete classes we try to use a no-args constructor.
+   */
+  private def resolveJavaMapCreator(tag: ClassTag[_]): () => JMap[Any, Any] = {
+    val cls = tag.runtimeClass
+    val modifiers = cls.getModifiers
+    if (Modifier.isInterface(modifiers) || Modifier.isAbstract(modifiers)) {
+      // Abstract class or interface; we try to use HashMap.
+      if (!cls.isAssignableFrom(classOf[java.util.HashMap[_, _]])) {
+        unsupportedCollectionType(cls)
+      }
+      () => new util.HashMap[Any, Any]()
+    } else {
+      // Use a no-args constructor.
+      val ctor =
+        methodLookup.findConstructor(tag.runtimeClass, MethodType.methodType(classOf[Unit]))
+      () => ctor.invoke().asInstanceOf[JMap[Any, Any]]
+    }
+  }
+
+  /**
+   * Create a function that can lookup one [[FieldVector vectors]] in `fields` by name. This
+   * lookup is case insensitive. If the schema contains fields with duplicate (with
+   * case-insensitive resolution) names an exception is thrown. The returned function will throw
+   * an exception when no column can be found for a name.
+   *
+   * A small note on the binding process in general. Over complete schemas are currently allowed,
+   * meaning that the data can have more column than the encoder. In this the over complete
+   * (unbound) columns are ignored.
+   */
+  private def createFieldLookup(fields: Seq[FieldVector]): String => FieldVector = {
+    def toKey(k: String): String = k.toLowerCase(Locale.ROOT)
+    val lookup = mutable.Map.empty[String, FieldVector]
+    fields.foreach { field =>
+      val key = toKey(field.getName)
+      val old = lookup.put(key, field)
+      if (old.isDefined) {
+        throw QueryCompilationErrors.ambiguousColumnOrFieldError(
+          field.getName :: Nil,
+          fields.count(f => toKey(f.getName) == key))
+      }
+    }
+    name => {
+      lookup.getOrElse(toKey(name), throw QueryCompilationErrors.columnNotFoundError(name))
+    }
+  }
+
+  private def isTuple(cls: Class[_]): Boolean = cls.getName.startsWith("scala.Tuple")
+
+  private def getString(v: VarCharVector, i: Int): String = {
+    // This is currently a bit heavy on allocations:
+    // - byte array created in VarCharVector.get
+    // - CharBuffer created CharSetEncoder
+    // - char array in String
+    // By using direct buffers and reusing the char buffer
+    // we could get rid of the first two allocations.
+    Text.decode(v.get(i))
+  }
+
+  private def loadListIntoBuilder(
+      v: ListVector,
+      i: Int,
+      deserializer: Deserializer[Any],
+      builder: mutable.Builder[Any, _]): Unit = {
+    var index = v.getElementStartIndex(i)
+    val end = v.getElementEndIndex(i)
+    builder.sizeHint(end - index)
+    while (index < end) {
+      builder += deserializer.get(index)
+      index += 1
+    }
+  }
+
+  private def getArray(v: ListVector, i: Int, deserializer: Deserializer[Any])(implicit
+      tag: ClassTag[Any]): AnyRef = {
+    val builder = mutable.ArrayBuilder.make[Any]
+    loadListIntoBuilder(v, i, deserializer, builder)
+    builder.result()
+  }
+
+  abstract class Deserializer[+E] {
+    def get(i: Int): E
+  }
+
+  abstract class FieldDeserializer[E, V <: FieldVector](val vector: V) extends Deserializer[E] {
+    def value(i: Int): E
+    def isNull(i: Int): Boolean = vector.isNull(i)
+    override def get(i: Int): E = {
+      if (!isNull(i)) {
+        value(i)
+      } else {
+        null.asInstanceOf[E]
+      }
+    }
+  }
+
+  abstract class StructFieldSerializer[E](v: StructVector)
+      extends FieldDeserializer[E, StructVector](v) {
+    override def isNull(i: Int): Boolean = vector != null && vector.isNull(i)
+  }
+}
+
+class EmptyDeserializingIterator[E](val encoder: AgnosticEncoder[E])
+    extends CloseableIterator[E] {
+  override def close(): Unit = ()
+  override def hasNext: Boolean = false
+  override def next(): E = throw new NoSuchElementException()
+}
+
+class ArrowDeserializingIterator[E](
+    val encoder: AgnosticEncoder[E],
+    private[this] val reader: ArrowReader)
+    extends CloseableIterator[E] {
+  private[this] var index = 0
+  private[this] val root = reader.getVectorSchemaRoot
+  private[this] val deserializer = ArrowDeserializers.deserializerFor(encoder, root)
+
+  override def hasNext: Boolean = {
+    if (index >= root.getRowCount) {
+      if (reader.loadNextBatch()) {
+        index = 0
+      }
+    }
+    index < root.getRowCount
+  }
+
+  override def next(): E = {
+    if (!hasNext) {
+      throw new NoSuchElementException()
+    }
+    val result = deserializer.get(index)
+    index += 1
+    result
+  }
+
+  override def close(): Unit = reader.close()
+}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
index f6b140bae557b..ed27336985416 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
@@ -24,8 +24,11 @@ import org.apache.arrow.vector.complex.StructVector
 
 private[arrow] object ArrowEncoderUtils {
   object Classes {
+    val WRAPPED_ARRAY: Class[_] = classOf[scala.collection.mutable.WrappedArray[_]]
     val ITERABLE: Class[_] = classOf[scala.collection.Iterable[_]]
+    val MAP: Class[_] = classOf[scala.collection.Map[_, _]]
     val JLIST: Class[_] = classOf[java.util.List[_]]
+    val JMAP: Class[_] = classOf[java.util.Map[_, _]]
   }
 
   def isSubClass(cls: Class[_], tag: ClassTag[_]): Boolean = {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala
new file mode 100644
index 0000000000000..90963c831c252
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala
@@ -0,0 +1,185 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client.arrow
+
+import java.io.{InputStream, IOException}
+import java.nio.channels.Channels
+
+import org.apache.arrow.flatbuf.MessageHeader
+import org.apache.arrow.memory.{ArrowBuf, BufferAllocator}
+import org.apache.arrow.vector.ipc.{ArrowReader, ReadChannel}
+import org.apache.arrow.vector.ipc.message.{ArrowDictionaryBatch, ArrowMessage, ArrowRecordBatch, MessageChannelReader, MessageResult, MessageSerializer}
+import org.apache.arrow.vector.types.pojo.Schema
+
+/**
+ * An [[ArrowReader]] that concatenates multiple [[MessageIterator]]s into a single stream. Each
+ * iterator represents a single IPC stream. The concatenated streams all must have the same
+ * schema. If the schema is different an exception is thrown.
+ *
+ * In some cases we want to retain the messages (see `SparkResult`). Normally a stream reader
+ * closes its messages when it consumes them. In order to prevent that from happening in
+ * non-destructive mode we clone the messages before passing them to the reading logic.
+ */
+class ConcatenatingArrowStreamReader(
+    allocator: BufferAllocator,
+    input: Iterator[AbstractMessageIterator],
+    destructive: Boolean)
+    extends ArrowReader(allocator) {
+
+  private[this] var totalBytesRead: Long = 0
+  private[this] var current: AbstractMessageIterator = _
+
+  override protected def readSchema(): Schema = {
+    // readSchema() should only be called once during initialization.
+    assert(current == null)
+    if (!input.hasNext) {
+      // ArrowStreamReader throws the same exception.
+      throw new IOException("Unexpected end of input. Missing schema.")
+    }
+    current = input.next()
+    current.schema
+  }
+
+  private def nextMessage(): ArrowMessage = {
+    // readSchema() should have been invoked at this point so 'current' should be initialized.
+    assert(current != null)
+    // Try to find a non-empty message iterator.
+    while (!current.hasNext && input.hasNext) {
+      totalBytesRead += current.bytesRead
+      current = input.next()
+      if (current.schema != getVectorSchemaRoot.getSchema) {
+        throw new IllegalStateException()
+      }
+    }
+    if (current.hasNext) {
+      current.next()
+    } else {
+      null
+    }
+  }
+
+  override def loadNextBatch(): Boolean = {
+    // Keep looping until we load a non-empty batch or until we exhaust the input.
+    var message = nextMessage()
+    while (message != null) {
+      message match {
+        case rb: ArrowRecordBatch =>
+          loadRecordBatch(cloneIfNonDestructive(rb))
+          if (getVectorSchemaRoot.getRowCount > 0) {
+            return true
+          }
+        case db: ArrowDictionaryBatch =>
+          loadDictionary(cloneIfNonDestructive(db))
+      }
+      message = nextMessage()
+    }
+    false
+  }
+
+  private def cloneIfNonDestructive(batch: ArrowRecordBatch): ArrowRecordBatch = {
+    if (destructive) {
+      return batch
+    }
+    cloneRecordBatch(batch)
+  }
+
+  private def cloneIfNonDestructive(batch: ArrowDictionaryBatch): ArrowDictionaryBatch = {
+    if (destructive) {
+      return batch
+    }
+    new ArrowDictionaryBatch(
+      batch.getDictionaryId,
+      cloneRecordBatch(batch.getDictionary),
+      batch.isDelta)
+  }
+
+  private def cloneRecordBatch(batch: ArrowRecordBatch): ArrowRecordBatch = {
+    new ArrowRecordBatch(
+      batch.getLength,
+      batch.getNodes,
+      batch.getBuffers,
+      batch.getBodyCompression,
+      true,
+      true)
+  }
+
+  override def bytesRead(): Long = {
+    if (current != null) {
+      totalBytesRead + current.bytesRead
+    } else {
+      0
+    }
+  }
+
+  override def closeReadSource(): Unit = ()
+}
+
+trait AbstractMessageIterator extends Iterator[ArrowMessage] {
+  def schema: Schema
+  def bytesRead: Long
+}
+
+/**
+ * Decode an Arrow IPC stream into individual messages. Please note that this iterator MUST have a
+ * valid IPC stream as its input, otherwise construction will fail.
+ */
+class MessageIterator(input: InputStream, allocator: BufferAllocator)
+    extends AbstractMessageIterator {
+  private[this] val in = new ReadChannel(Channels.newChannel(input))
+  private[this] val reader = new MessageChannelReader(in, allocator)
+  private[this] var result: MessageResult = _
+
+  // Eagerly read the schema.
+  val schema: Schema = {
+    val result = reader.readNext()
+    if (result == null) {
+      throw new IOException("Unexpected end of input. Missing schema.")
+    }
+    MessageSerializer.deserializeSchema(result.getMessage)
+  }
+
+  override def bytesRead: Long = reader.bytesRead()
+
+  override def hasNext: Boolean = {
+    if (result == null) {
+      result = reader.readNext()
+    }
+    result != null
+  }
+
+  override def next(): ArrowMessage = {
+    if (!hasNext) {
+      throw new NoSuchElementException()
+    }
+    val message = result.getMessage.headerType() match {
+      case MessageHeader.RecordBatch =>
+        MessageSerializer.deserializeRecordBatch(result.getMessage, bodyBuffer(result))
+      case MessageHeader.DictionaryBatch =>
+        MessageSerializer.deserializeDictionaryBatch(result.getMessage, bodyBuffer(result))
+    }
+    result = null
+    message
+  }
+
+  private def bodyBuffer(result: MessageResult): ArrowBuf = {
+    var buffer = result.getBodyBuffer
+    if (buffer == null) {
+      buffer = allocator.getEmpty
+    }
+    buffer
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 73c04389c0597..07dd2a96bd8f7 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -39,7 +39,6 @@ import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils.port
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
-import org.apache.spark.sql.vectorized.ColumnarBatch
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
@@ -571,7 +570,8 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     (col("id") / lit(10.0d)).as("b"),
     col("id"),
     lit("world").as("d"),
-    (col("id") % 2).cast("int").as("a"))
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    (col("id") % 2).cast("double").as("a"))
 
   private def validateMyTypeResult(result: Array[MyType]): Unit = {
     result.zipWithIndex.foreach { case (MyType(id, a, b), i) =>
@@ -818,10 +818,11 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
   }
 
   test("toJSON") {
+    // TODO SPARK-44449 make this int again when upcasting is in.
     val expected = Array(
-      """{"b":0.0,"id":0,"d":"world","a":0}""",
-      """{"b":0.1,"id":1,"d":"world","a":1}""",
-      """{"b":0.2,"id":2,"d":"world","a":0}""")
+      """{"b":0.0,"id":0,"d":"world","a":0.0}""",
+      """{"b":0.1,"id":1,"d":"world","a":1.0}""",
+      """{"b":0.2,"id":2,"d":"world","a":0.0}""")
     val result = spark
       .range(3)
       .select(generateMyTypeColumns: _*)
@@ -893,14 +894,12 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
 
   test("Dataset result destructive iterator") {
     // Helper methods for accessing private field `idxToBatches` from SparkResult
-    val _idxToBatches =
-      PrivateMethod[mutable.Map[Int, ColumnarBatch]](Symbol("idxToBatches"))
+    val getResultMap =
+      PrivateMethod[mutable.Map[Int, Any]](Symbol("resultMap"))
 
-    def getColumnarBatches(result: SparkResult[_]): Seq[ColumnarBatch] = {
-      val idxToBatches = result invokePrivate _idxToBatches()
-
-      // Sort by key to get stable results.
-      idxToBatches.toSeq.sortBy(_._1).map(_._2)
+    def assertResultsMapEmpty(result: SparkResult[_]): Unit = {
+      val resultMap = result invokePrivate getResultMap()
+      assert(resultMap.isEmpty)
     }
 
     val df = spark
@@ -911,25 +910,19 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
       try {
         // build and verify the destructive iterator
         val iterator = result.destructiveIterator
-        // batches is empty before traversing the result iterator
-        assert(getColumnarBatches(result).isEmpty)
-        var previousBatch: ColumnarBatch = null
-        val buffer = mutable.Buffer.empty[Long]
+        // resultMap Map is empty before traversing the result iterator
+        assertResultsMapEmpty(result)
+        val buffer = mutable.Set.empty[Long]
         while (iterator.hasNext) {
-          // always having 1 batch, since a columnar batch will be removed and closed after
-          // its data got consumed.
-          val batches = getColumnarBatches(result)
-          assert(batches.size === 1)
-          assert(batches.head != previousBatch)
-          previousBatch = batches.head
-
-          buffer.append(iterator.next())
+          // resultMap is empty during iteration because results get removed immediately on access.
+          assertResultsMapEmpty(result)
+          buffer += iterator.next()
         }
-        // Batches should be closed and removed after traversing all the records.
-        assert(getColumnarBatches(result).isEmpty)
+        // resultMap Map is empty afterward because all results have been removed.
+        assertResultsMapEmpty(result)
 
-        val expectedResult = Seq(6L, 7L, 8L)
-        assert(buffer.size === 3 && expectedResult.forall(buffer.contains))
+        val expectedResult = Set(6L, 7L, 8L)
+        assert(buffer.size === 3 && expectedResult == buffer)
       } finally {
         result.close()
       }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
index e15069f2d9e96..ab3e13da53178 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
@@ -68,10 +68,11 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("keyAs - keys") {
+    // TODO SPARK-44449 make this long again when upcasting is in.
     // It is okay to cast from Long to Double, but not Long to Int.
     val values = spark
       .range(10)
-      .groupByKey(v => v % 2)
+      .groupByKey(v => (v % 2).toDouble)
       .keyAs[Double]
       .keys
       .collectAsList()
@@ -232,9 +233,10 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("agg, keyAs") {
+    // TODO SPARK-44449 make this long again when upcasting is in.
     val ds = spark
       .range(10)
-      .groupByKey(v => v % 2)
+      .groupByKey(v => (v % 2).toDouble)
       .keyAs[Double]
       .agg(count("*"))
 
@@ -244,7 +246,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   test("typed aggregation: expr") {
     val session: SparkSession = spark
     import session.implicits._
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1).agg(sum("_2").as[Long]),
@@ -254,7 +257,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1).agg(sum("_2").as[Long], sum($"_2" + 1).as[Long]),
@@ -264,7 +268,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1).agg(sum("_2").as[Long], sum($"_2" + 1).as[Long], count("*")),
@@ -274,7 +279,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1)
@@ -289,7 +295,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1)
@@ -305,7 +312,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr, expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1)
@@ -322,7 +330,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr, expr, expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1)
@@ -340,7 +349,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
   }
 
   test("typed aggregation: expr, expr, expr, expr, expr, expr, expr, expr") {
-    val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+    // TODO SPARK-44449 make this int again when upcasting is in.
+    val ds = Seq(("a", 10L), ("a", 20L), ("b", 1L), ("b", 2L), ("c", 1L)).toDS()
 
     checkDatasetUnorderly(
       ds.groupByKey(_._1)
@@ -473,9 +483,9 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
     val ds = Seq(("a", 1, 10), ("a", 2, 20), ("b", 2, 1), ("b", 1, 2), ("c", 1, 1))
       .toDF("key", "seq", "value")
     val grouped = ds.groupBy($"value").as[String, (String, Int, Int)]
-    val keys = grouped.keyAs[String].keys.sort($"value")
-
-    checkDataset(keys, "1", "2", "10", "20")
+    // TODO SPARK-44449 make this string again when upcasting is in.
+    val keys = grouped.keyAs[Int].keys.sort($"value")
+    checkDataset(keys, 1, 2, 10, 20)
   }
 
   test("flatMapGroupsWithState") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 58758a1384031..800ce43a60df0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -208,8 +208,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   test("UDF Registration") {
+    // TODO SPARK-44449 make this long again when upcasting is in.
     val input = """
-        |class A(x: Int) { def get = x * 100 }
+        |class A(x: Int) { def get: Long = x * 100 }
         |val myUdf = udf((x: Int) => new A(x).get)
         |spark.udf.register("dummyUdf", myUdf)
         |spark.sql("select dummyUdf(id) from range(5)").as[Long].collect()
@@ -219,8 +220,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   test("UDF closure registration") {
+    // TODO SPARK-44449 make this int again when upcasting is in.
     val input = """
-        |class A(x: Int) { def get = x * 15 }
+        |class A(x: Int) { def get: Long = x * 15 }
         |spark.udf.register("directUdf", (x: Int) => new A(x).get)
         |spark.sql("select directUdf(id) from range(5)").as[Long].collect()
       """.stripMargin
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 0c327484e477d..16eec3eee3110 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -21,24 +21,19 @@ import java.util
 import java.util.{Collections, Objects}
 
 import scala.beans.BeanProperty
-import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.reflect.classTag
-import scala.util.control.NonFatal
 
-import com.google.protobuf.ByteString
 import org.apache.arrow.memory.{BufferAllocator, RootAllocator}
 import org.apache.arrow.vector.VarBinaryVector
 import org.scalatest.BeforeAndAfterAll
 
 import org.apache.spark.SparkUnsupportedOperationException
-import org.apache.spark.connect.proto
-import org.apache.spark.sql.Row
+import org.apache.spark.sql.{AnalysisException, Row}
 import org.apache.spark.sql.catalyst.{DefinedByConstructorParams, JavaTypeInference, ScalaReflection}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BoxedIntEncoder, CalendarIntervalEncoder, DateEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, RowEncoder, StringEncoder, TimestampEncoder, UDTEncoder}
 import org.apache.spark.sql.catalyst.encoders.RowEncoder.{encoderFor => toRowEncoder}
-import org.apache.spark.sql.connect.client.SparkResult
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.types.{ArrayType, DataType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType}
@@ -96,15 +91,7 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     }
 
     val resultIterator =
-      try {
-        deserializeFromArrow(inspectedIterator, encoder, deserializerAllocator)
-      } catch {
-        case NonFatal(e) =>
-          arrowIterator.close()
-          serializerAllocator.close()
-          deserializerAllocator.close()
-          throw e
-      }
+      ArrowDeserializers.deserializeFromArrow(inspectedIterator, encoder, deserializerAllocator)
     new CloseableIterator[T] {
       override def close(): Unit = {
         arrowIterator.close()
@@ -117,25 +104,6 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     }
   }
 
-  // Temporary hack until we merge the deserializer.
-  private def deserializeFromArrow[E](
-      batches: Iterator[Array[Byte]],
-      encoder: AgnosticEncoder[E],
-      allocator: BufferAllocator): CloseableIterator[E] = {
-    val responses = batches.map { batch =>
-      val builder = proto.ExecutePlanResponse.newBuilder()
-      builder.getArrowBatchBuilder.setData(ByteString.copyFrom(batch))
-      builder.build()
-    }
-    val result = new SparkResult[E](responses.asJava, allocator, encoder)
-    new CloseableIterator[E] {
-      private val itr = result.iterator
-      override def close(): Unit = itr.close()
-      override def hasNext: Boolean = itr.hasNext
-      override def next(): E = itr.next()
-    }
-  }
-
   private def roundTripAndCheck[T](
       encoder: AgnosticEncoder[T],
       toInputIterator: () => Iterator[Any],
@@ -246,6 +214,15 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     assert(inspector.sizeInBytes > 0)
   }
 
+  test("deserializing empty iterator") {
+    withAllocator { allocator =>
+      val iterator =
+        ArrowDeserializers.deserializeFromArrow(Iterator.empty, singleIntEncoder, allocator)
+      assert(iterator.isEmpty)
+      assert(allocator.getAllocatedMemory == 0)
+    }
+  }
+
   test("single batch") {
     val inspector = new CountingBatchInspector
     roundTripAndCheckIdentical(singleIntEncoder, inspectBatch = inspector) { () =>
@@ -533,15 +510,22 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
       val maybeNull = MaybeNull(11)
       Iterator.tabulate(100) { i =>
         val bean = new JavaMapData
-        bean.setDummyToDoubleListMap(maybeNull {
-          val map = new util.HashMap[DummyBean, java.util.List[java.lang.Double]]
-          (0 until (i % 5)).foreach { j =>
-            val dummy = new DummyBean
-            dummy.setBigInteger(maybeNull(java.math.BigInteger.valueOf(i * j)))
+        bean.setMetricMap(maybeNull {
+          val map = new util.HashMap[String, util.List[java.lang.Double]]
+          (0 until (i % 20)).foreach { i =>
             val values = Array.tabulate(i % 40) { j =>
               Double.box(j.toDouble)
             }
-            map.put(dummy, maybeNull(util.Arrays.asList(values: _*)))
+            map.put("k" + i, maybeNull(util.Arrays.asList(values: _*)))
+          }
+          map
+        })
+        bean.setDummyToStringMap(maybeNull {
+          val map = new util.HashMap[DummyBean, String]
+          (0 until (i % 5)).foreach { j =>
+            val dummy = new DummyBean
+            dummy.setBigInteger(maybeNull(java.math.BigInteger.valueOf(i * j)))
+            map.put(dummy, maybeNull("s" + i + "v" + j))
           }
           map
         })
@@ -675,6 +659,57 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
           .add("Ca", "array<int>")
           .add("Cb", "binary")))
 
+  test("bind to schema") {
+    // Binds to a wider schema. The narrow schema has fewer (nested) fields, has a slightly
+    // different field order, and uses different cased names in a couple of places.
+    withAllocator { allocator =>
+      val input = Row(
+        887,
+        "foo",
+        Row(Seq(1, 7, 5), Array[Byte](8.toByte, 756.toByte), 5f),
+        Seq(Row(null, "a", false), Row(javaBigDecimal(57853, 10), "b", false)))
+      val expected = Row(
+        "foo",
+        Seq(Row(null, false), Row(javaBigDecimal(57853, 10), false)),
+        Row(Seq(1, 7, 5), Array[Byte](8.toByte, 756.toByte)))
+      val arrowBatches = serializeToArrow(Iterator.single(input), wideSchemaEncoder, allocator)
+      val result =
+        ArrowDeserializers.deserializeFromArrow(arrowBatches, narrowSchemaEncoder, allocator)
+      val actual = result.next()
+      assert(result.isEmpty)
+      assert(expected === actual)
+      result.close()
+      arrowBatches.close()
+    }
+  }
+
+  test("unknown field") {
+    withAllocator { allocator =>
+      val arrowBatches = serializeToArrow(Iterator.empty, narrowSchemaEncoder, allocator)
+      intercept[AnalysisException] {
+        ArrowDeserializers.deserializeFromArrow(arrowBatches, wideSchemaEncoder, allocator)
+      }
+      arrowBatches.close()
+    }
+  }
+
+  test("duplicate fields") {
+    val duplicateSchemaEncoder = toRowEncoder(
+      new StructType()
+        .add("foO", "string")
+        .add("Foo", "string"))
+    val fooSchemaEncoder = toRowEncoder(
+      new StructType()
+        .add("foo", "string"))
+    withAllocator { allocator =>
+      val arrowBatches = serializeToArrow(Iterator.empty, duplicateSchemaEncoder, allocator)
+      intercept[AnalysisException] {
+        ArrowDeserializers.deserializeFromArrow(arrowBatches, fooSchemaEncoder, allocator)
+      }
+      arrowBatches.close()
+    }
+  }
+
   /* ******************************************************************** *
    * Arrow serialization/deserialization specific errors
    * ******************************************************************** */
@@ -833,17 +868,23 @@ case class MapData(intStringMap: Map[Int, String], metricMap: Map[String, Array[
 
 class JavaMapData {
   @scala.beans.BeanProperty
-  var dummyToDoubleListMap: java.util.Map[DummyBean, java.util.List[java.lang.Double]] = _
+  var dummyToStringMap: java.util.Map[DummyBean, String] = _
+
+  @scala.beans.BeanProperty
+  var metricMap: java.util.HashMap[String, java.util.List[java.lang.Double]] = _
 
   def canEqual(other: Any): Boolean = other.isInstanceOf[JavaMapData]
 
   override def equals(other: Any): Boolean = other match {
     case that: JavaMapData if that canEqual this =>
-      dummyToDoubleListMap == that.dummyToDoubleListMap
+      dummyToStringMap == that.dummyToStringMap &&
+      metricMap == that.metricMap
     case _ => false
   }
 
-  override def hashCode(): Int = Objects.hashCode(dummyToDoubleListMap)
+  override def hashCode(): Int = {
+    java.util.Arrays.deepHashCode(Array(dummyToStringMap, metricMap))
+  }
 }
 
 class DummyBean {

From b20955003f9566bc1caeb625c0eb51402e5eab94 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Thu, 20 Jul 2023 08:59:29 +0900
Subject: [PATCH 026/986] [SPARK-44278][CONNECT] Implement a GRPC server
 interceptor that cleans up thread local properties

### What changes were proposed in this pull request?

This pr implements a GRPC server interceptor that cleans up thread local properties (e.g. SparkContext local properties) for Spark Connect service.

### Why are the changes needed?

To prevent the leakage of thread-local variables from one request to another request, ensure proper isolation between requests.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

Closes #41831 from heyihong/SPARK-44278.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit fa9725fac0c0c0aca5d86f2a5f0a80f821d5d828)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../LocalPropertiesCleanupInterceptor.scala   | 51 +++++++++++++++++++
 .../service/InterceptorRegistrySuite.scala    | 10 ++++
 2 files changed, 61 insertions(+)
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/LocalPropertiesCleanupInterceptor.scala

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/LocalPropertiesCleanupInterceptor.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/LocalPropertiesCleanupInterceptor.scala
new file mode 100644
index 0000000000000..1d9acc4d75e44
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/LocalPropertiesCleanupInterceptor.scala
@@ -0,0 +1,51 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import io.grpc.{Metadata, ServerCall, ServerCallHandler, ServerInterceptor}
+import io.grpc.ForwardingServerCallListener.SimpleForwardingServerCallListener
+
+import org.apache.spark.SparkContext
+
+/**
+ * Interceptor for cleaning up local properties in the SparkContext after gRPC server calls.
+ */
+class LocalPropertiesCleanupInterceptor extends ServerInterceptor {
+
+  override def interceptCall[ReqT, RespT](
+      serverCall: ServerCall[ReqT, RespT],
+      metadata: Metadata,
+      serverCallHandler: ServerCallHandler[ReqT, RespT]): ServerCall.Listener[ReqT] = {
+    new SimpleForwardingServerCallListener[ReqT](
+      serverCallHandler.startCall(serverCall, metadata)) {
+      override def onComplete(): Unit = {
+        cleanupLocalProperties()
+        super.onComplete()
+      }
+
+      override def onCancel(): Unit = {
+        cleanupLocalProperties()
+        super.onCancel()
+      }
+
+      private def cleanupLocalProperties(): Unit = {
+        SparkContext.getActive.foreach(_.getLocalProperties.clear())
+      }
+    }
+  }
+}
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/InterceptorRegistrySuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/InterceptorRegistrySuite.scala
index 7f85966f0a7b6..33f6627ee0e10 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/InterceptorRegistrySuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/InterceptorRegistrySuite.scala
@@ -184,4 +184,14 @@ class InterceptorRegistrySuite extends SharedSparkSession {
       assert(interceptors.head.isInstanceOf[LoggingInterceptor])
     }
   }
+
+  test("LocalPropertiesCleanupInterceptor initializes when configured in spark conf") {
+    withSparkConf(
+      Connect.CONNECT_GRPC_INTERCEPTOR_CLASSES.key ->
+        "org.apache.spark.sql.connect.service.LocalPropertiesCleanupInterceptor") {
+      val interceptors = SparkConnectInterceptorRegistry.createConfiguredInterceptors()
+      assert(interceptors.size == 1)
+      assert(interceptors.head.isInstanceOf[LocalPropertiesCleanupInterceptor])
+    }
+  }
 }

From 5511a0bd1d354a99e77de4ef132dfdd1ed6bd762 Mon Sep 17 00:00:00 2001
From: Jack Chen <jack.chen@databricks.com>
Date: Thu, 20 Jul 2023 11:09:50 +0800
Subject: [PATCH 027/986] [SPARK-44431][SQL] Fix behavior of null IN (empty
 list) in optimization rules

### What changes were proposed in this pull request?
`null IN (empty list)` incorrectly evaluates to null, when it should evaluate to false. (The reason it should be false is because a IN (b1, b2) is defined as a = b1 OR a = b2, and an empty IN list is treated as an empty OR which is false. This is specified by ANSI SQL.)

Many places in Spark execution (In, InSet, InSubquery) and optimization (OptimizeIn, NullPropagation) implemented this wrong behavior. This is a longstanding correctness issue which has existed since null support for IN expressions was first added to Spark.

This PR fixes the optimization rules OptimizeIn and NullPropagation, which followed the preexisting, incorrect execution behavior. The execution fixes will be in the next PR.

The behavior is under a flag, which will be available to revert to the legacy behavior if needed. This flag is set to disable the new behavior until all of the fix PRs are complete.

See [this doc](https://docs.google.com/document/d/1k8AY8oyT-GI04SnP7eXttPDnDj-Ek-c3luF2zL6DPNU/edit) for more information.

### Why are the changes needed?
Fix wrong SQL semantics

### Does this PR introduce _any_ user-facing change?
Not yet, but will fix wrong SQL semantics when enabled

### How was this patch tested?
Add unit tests and sql tests.

Closes #42007 from jchen5/null-in-empty-opt.

Authored-by: Jack Chen <jack.chen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit db357edb7b21b12c9721a86985a3cc92fcd32bf3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    |   3 +
 .../sql/catalyst/optimizer/expressions.scala  |  32 +-
 .../apache/spark/sql/internal/SQLConf.scala   |  11 +
 .../catalyst/optimizer/OptimizeInSuite.scala  | 174 +++++++---
 .../optimizer/ReplaceOperatorSuite.scala      |  26 +-
 .../in-subquery/in-null-semantics.sql.out     | 304 ++++++++++++++++++
 .../in-subquery/in-null-semantics.sql         |  57 ++++
 .../in-subquery/in-null-semantics.sql.out     | 239 ++++++++++++++
 .../org/apache/spark/sql/EmptyInSuite.scala   |  63 ++++
 9 files changed, 857 insertions(+), 52 deletions(-)
 create mode 100644 sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-null-semantics.sql.out
 create mode 100644 sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
 create mode 100644 sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
 create mode 100644 sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index fd2ea96a2967f..95cf3aee16f3a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -96,6 +96,9 @@ abstract class Optimizer(catalogManager: CatalogManager)
         OptimizeRepartition,
         TransposeWindow,
         NullPropagation,
+        // NullPropagation may introduce Exists subqueries, so RewriteNonCorrelatedExists must run
+        // after.
+        RewriteNonCorrelatedExists,
         NullDownPropagation,
         ConstantPropagation,
         FoldablePropagation,
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
index 1d756a2dcb744..8cb560199c069 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
@@ -31,6 +31,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.catalyst.trees.{AlwaysProcess, TreeNodeTag}
 import org.apache.spark.sql.catalyst.trees.TreePattern._
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -283,9 +284,13 @@ object OptimizeIn extends Rule[LogicalPlan] {
     _.containsPattern(IN), ruleId) {
     case q: LogicalPlan => q.transformExpressionsDownWithPruning(_.containsPattern(IN), ruleId) {
       case In(v, list) if list.isEmpty =>
-        // When v is not nullable, the following expression will be optimized
-        // to FalseLiteral which is tested in OptimizeInSuite.scala
-        If(IsNotNull(v), FalseLiteral, Literal(null, BooleanType))
+        if (!SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)) {
+          FalseLiteral
+        } else {
+          // Incorrect legacy behavior optimizes to null if the left side is null, and otherwise
+          // to false.
+          If(IsNotNull(v), FalseLiteral, Literal(null, BooleanType))
+        }
       case expr @ In(v, list) if expr.inSetConvertible =>
         val newList = ExpressionSet(list).toSeq
         if (newList.length == 1
@@ -841,9 +846,24 @@ object NullPropagation extends Rule[LogicalPlan] {
           }
         }
 
-      // If the value expression is NULL then transform the In expression to null literal.
-      case In(Literal(null, _), _) => Literal.create(null, BooleanType)
-      case InSubquery(Seq(Literal(null, _)), _) => Literal.create(null, BooleanType)
+      // If the list is empty, transform the In expression to false literal.
+      case In(_, list)
+        if list.isEmpty && !SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR) =>
+        Literal.create(false, BooleanType)
+      // If the value expression is NULL (and the list is non-empty), then transform the
+      // In expression to null literal.
+      // If the legacy flag is set, then it becomes null even if the list is empty (which is
+      // incorrect legacy behavior)
+      case In(Literal(null, _), list)
+        if list.nonEmpty || SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)
+      => Literal.create(null, BooleanType)
+      case InSubquery(Seq(Literal(null, _)), _)
+        if SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR) =>
+        Literal.create(null, BooleanType)
+      case InSubquery(Seq(Literal(null, _)), ListQuery(sub, _, _, _, conditions, _))
+        if !SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)
+        && conditions.isEmpty =>
+        If(Exists(sub), Literal(null, BooleanType), FalseLiteral)
 
       // Non-leaf NullIntolerant expressions will return null, if at least one of its children is
       // a null literal.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 4d1d4b45fa303..00bb6f77ef339 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4289,6 +4289,17 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
+  val LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR =
+    buildConf("spark.sql.legacy.nullInEmptyListBehavior")
+      .internal()
+      .doc("When set to true, restores the legacy incorrect behavior of IN expressions for " +
+        "NULL values IN an empty list (including IN subqueries and literal IN lists): " +
+        "`null IN (empty list)` should evaluate to false, but sometimes (not always) " +
+        "incorrectly evaluates to null in the legacy behavior.")
+      .version("3.5.0")
+      .booleanConf
+      .createWithDefault(true)
+
   val ERROR_MESSAGE_FORMAT = buildConf("spark.sql.error.messageFormat")
     .doc("When PRETTY, the error message consists of textual representation of error class, " +
       "message and query context. The MINIMAL and STANDARD formats are pretty JSON formats where " +
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeInSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeInSuite.scala
index 7f377d18e9def..7418128dd48a3 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeInSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeInSuite.scala
@@ -22,9 +22,9 @@ import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.PlanTest
-import org.apache.spark.sql.catalyst.plans.logical.{Filter, LocalRelation, LogicalPlan}
+import org.apache.spark.sql.catalyst.plans.logical.{Filter, LocalRelation, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
-import org.apache.spark.sql.internal.SQLConf.OPTIMIZER_INSET_CONVERSION_THRESHOLD
+import org.apache.spark.sql.internal.SQLConf.{LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR, OPTIMIZER_INSET_CONVERSION_THRESHOLD}
 import org.apache.spark.sql.types._
 
 class OptimizeInSuite extends PlanTest {
@@ -121,19 +121,43 @@ class OptimizeInSuite extends PlanTest {
     comparePlans(optimized, correctAnswer)
   }
 
-  test("OptimizedIn test: NULL IN (subquery) gets transformed to Filter(null)") {
-    val subquery = ListQuery(testRelation.select(UnresolvedAttribute("a")))
-    val originalQuery =
-      testRelation
-        .where(InSubquery(Seq(Literal.create(null, NullType)), subquery))
-        .analyze
+  test("OptimizedIn test: Legacy behavior: " +
+    "NULL IN (subquery) gets transformed to Filter(null)") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "true") {
+      val subquery = ListQuery(testRelation.select(UnresolvedAttribute("a")))
+      val originalQuery =
+        testRelation
+          .where(InSubquery(Seq(Literal.create(null, NullType)), subquery))
+          .analyze
 
-    val optimized = Optimize.execute(originalQuery.analyze)
-    val correctAnswer =
-      testRelation
-        .where(Literal.create(null, BooleanType))
-        .analyze
-    comparePlans(optimized, correctAnswer)
+      val optimized = Optimize.execute(originalQuery.analyze)
+      val correctAnswer =
+        testRelation
+          .where(Literal.create(null, BooleanType))
+          .analyze
+      comparePlans(optimized, correctAnswer)
+    }
+  }
+
+  test("OptimizedIn test: NULL IN (subquery) gets transformed to " +
+    "If(Exists(subquery), null, false)") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val subquery = testRelation.select(UnresolvedAttribute("a"))
+      val originalQuery =
+        testRelation
+          .where(InSubquery(Seq(Literal.create(null, NullType)), ListQuery(subquery)))
+          .analyze
+
+      val optimized = Optimize.execute(originalQuery.analyze)
+      // Our simplified Optimize results in an extra redundant Project. This gets collapsed in
+      // the full optimizer.
+      val correctAnswer =
+        testRelation
+          .where(If(Exists(Project(Seq(UnresolvedAttribute("a")), subquery)),
+            Literal.create(null, BooleanType), Literal(false)))
+          .analyze
+      comparePlans(optimized, correctAnswer)
+    }
   }
 
   test("OptimizedIn test: Inset optimization disabled as " +
@@ -219,36 +243,108 @@ class OptimizeInSuite extends PlanTest {
     comparePlans(optimized, correctAnswer)
   }
 
-  test("OptimizedIn test: In empty list gets transformed to FalseLiteral " +
-    "when value is not nullable") {
-    val originalQuery =
-      testRelation
-        .where(In(Literal("a"), Nil))
-        .analyze
+  test("OptimizedIn test: expr IN (empty list) gets transformed to literal false") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val originalQuery =
+        testRelation
+          .where(In(UnresolvedAttribute("a"), Nil))
+          .analyze
 
-    val optimized = Optimize.execute(originalQuery)
-    val correctAnswer =
-      testRelation
-        .where(Literal(false))
-        .analyze
+      val optimized = Optimize.execute(originalQuery.analyze)
+      val correctAnswer =
+        testRelation
+          .where(Literal.create(false, BooleanType))
+          .analyze
 
-    comparePlans(optimized, correctAnswer)
+      comparePlans(optimized, correctAnswer)
+    }
   }
 
-  test("OptimizedIn test: In empty list gets transformed to `If` expression " +
-    "when value is nullable") {
-    val originalQuery =
-      testRelation
-        .where(In(UnresolvedAttribute("a"), Nil))
-        .analyze
+  test("OptimizedIn test: null IN (empty list) gets transformed to literal false") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val originalQuery =
+        testRelation
+          .where(In(Literal.create(null, NullType), Nil))
+          .analyze
 
-    val optimized = Optimize.execute(originalQuery)
-    val correctAnswer =
-      testRelation
-        .where(If(IsNotNull(UnresolvedAttribute("a")),
-          Literal(false), Literal.create(null, BooleanType)))
-        .analyze
+      val optimized = Optimize.execute(originalQuery.analyze)
+      val correctAnswer =
+        testRelation
+          .where(Literal.create(false, BooleanType))
+          .analyze
 
-    comparePlans(optimized, correctAnswer)
+      comparePlans(optimized, correctAnswer)
+    }
+  }
+
+  test("OptimizedIn test: expr IN (empty list) gets transformed to literal false in select") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val originalQuery =
+        testRelation
+          .select(In(UnresolvedAttribute("a"), Nil).as("x"))
+          .analyze
+
+      val optimized = Optimize.execute(originalQuery.analyze)
+      val correctAnswer =
+        testRelation
+          .select(Literal.create(false, BooleanType).as("x"))
+          .analyze
+
+      comparePlans(optimized, correctAnswer)
+    }
+  }
+
+  test("OptimizedIn test: null IN (empty list) gets transformed to literal false in select") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val originalQuery =
+        testRelation
+          .select(In(Literal.create(null, NullType), Nil).as("x"))
+          .analyze
+
+      val optimized = Optimize.execute(originalQuery.analyze)
+      val correctAnswer =
+        testRelation
+          .select(Literal.create(false, BooleanType).as("x"))
+          .analyze
+
+      comparePlans(optimized, correctAnswer)
+    }
+  }
+
+  test("OptimizedIn test: Legacy behavior: " +
+    "In empty list gets transformed to FalseLiteral when value is not nullable") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "true") {
+      val originalQuery =
+        testRelation
+          .where(In(Literal("a"), Nil))
+          .analyze
+
+      val optimized = Optimize.execute(originalQuery)
+      val correctAnswer =
+        testRelation
+          .where(Literal(false))
+          .analyze
+
+      comparePlans(optimized, correctAnswer)
+    }
+  }
+
+  test("OptimizedIn test: Legacy behavior:  " +
+    "In empty list gets transformed to `If` expression when value is nullable") {
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "true") {
+      val originalQuery =
+        testRelation
+          .where(In(UnresolvedAttribute("a"), Nil))
+          .analyze
+
+      val optimized = Optimize.execute(originalQuery)
+      val correctAnswer =
+        testRelation
+          .where(If(IsNotNull(UnresolvedAttribute("a")),
+            Literal(false), Literal.create(null, BooleanType)))
+          .analyze
+
+      comparePlans(optimized, correctAnswer)
+    }
   }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
index 06fcb12acdd08..5d81e96a8e583 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
@@ -25,6 +25,7 @@ import org.apache.spark.sql.catalyst.expressions.aggregate.First
 import org.apache.spark.sql.catalyst.plans.{LeftAnti, LeftSemi, PlanTest}
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
+import org.apache.spark.sql.internal.SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR
 import org.apache.spark.sql.types.BooleanType
 
 class ReplaceOperatorSuite extends PlanTest {
@@ -233,13 +234,24 @@ class ReplaceOperatorSuite extends PlanTest {
     val basePlan = LocalRelation(Seq($"a".int, $"b".int))
     val otherPlan = basePlan.where($"a".in(1, 2) || $"b".in())
     val except = Except(basePlan, otherPlan, false)
-    val result = OptimizeIn(Optimize.execute(except.analyze))
-    val correctAnswer = Aggregate(basePlan.output, basePlan.output,
-      Filter(!Coalesce(Seq(
-        $"a".in(1, 2) || If($"b".isNotNull, Literal.FalseLiteral, Literal(null, BooleanType)),
-        Literal.FalseLiteral)),
-        basePlan)).analyze
-    comparePlans(result, correctAnswer)
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "false") {
+      val result = OptimizeIn(Optimize.execute(except.analyze))
+      val correctAnswer = Aggregate(basePlan.output, basePlan.output,
+        Filter(!Coalesce(Seq(
+          $"a".in(1, 2) || Literal.FalseLiteral,
+          Literal.FalseLiteral)),
+          basePlan)).analyze
+      comparePlans(result, correctAnswer)
+    }
+    withSQLConf(LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> "true") {
+      val result = OptimizeIn(Optimize.execute(except.analyze))
+      val correctAnswer = Aggregate(basePlan.output, basePlan.output,
+        Filter(!Coalesce(Seq(
+          $"a".in(1, 2) || If($"b".isNotNull, Literal.FalseLiteral, Literal(null, BooleanType)),
+          Literal.FalseLiteral)),
+          basePlan)).analyze
+      comparePlans(result, correctAnswer)
+    }
   }
 
   test("SPARK-26366: ReplaceExceptWithFilter should not transform non-deterministic") {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-null-semantics.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-null-semantics.sql.out
new file mode 100644
index 0000000000000..ac5c41dd307b4
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-null-semantics.sql.out
@@ -0,0 +1,304 @@
+-- Automatically generated by SQLQueryTestSuite
+-- !query
+create temp view v (c) as values (1), (null)
+-- !query analysis
+CreateViewCommand `v`, [(c,None)], values (1), (null), false, false, LocalTempView, true
+   +- LocalRelation [col1#x]
+
+
+-- !query
+create temp view v_empty (e) as select 1 where false
+-- !query analysis
+CreateViewCommand `v_empty`, [(e,None)], select 1 where false, false, false, LocalTempView, true
+   +- Project [1 AS 1#x]
+      +- Filter false
+         +- OneRowRelation
+
+
+-- !query
+create table t(c int) using json
+-- !query analysis
+CreateDataSourceTableCommand `spark_catalog`.`default`.`t`, false
+
+
+-- !query
+insert into t values (1), (null)
+-- !query analysis
+InsertIntoHadoopFsRelationCommand file:[not included in comparison]/{warehouse_dir}/t, false, JSON, [path=file:[not included in comparison]/{warehouse_dir}/t], Append, `spark_catalog`.`default`.`t`, org.apache.spark.sql.execution.datasources.InMemoryFileIndex(file:[not included in comparison]/{warehouse_dir}/t), [c]
++- Project [cast(col1#x as int) AS c#x]
+   +- LocalRelation [col1#x]
+
+
+-- !query
+create table t2(d int) using json
+-- !query analysis
+CreateDataSourceTableCommand `spark_catalog`.`default`.`t2`, false
+
+
+-- !query
+insert into t2 values (2)
+-- !query analysis
+InsertIntoHadoopFsRelationCommand file:[not included in comparison]/{warehouse_dir}/t2, false, JSON, [path=file:[not included in comparison]/{warehouse_dir}/t2], Append, `spark_catalog`.`default`.`t2`, org.apache.spark.sql.execution.datasources.InMemoryFileIndex(file:[not included in comparison]/{warehouse_dir}/t2), [d]
++- Project [cast(col1#x as int) AS d#x]
+   +- LocalRelation [col1#x]
+
+
+-- !query
+create table t_empty(e int) using json
+-- !query analysis
+CreateDataSourceTableCommand `spark_catalog`.`default`.`t_empty`, false
+
+
+-- !query
+set spark.sql.legacy.nullInEmptyListBehavior = false
+-- !query analysis
+SetCommand (spark.sql.legacy.nullInEmptyListBehavior,Some(false))
+
+
+-- !query
+select c, c in (select e from t_empty) from t
+-- !query analysis
+Project [c#x, c#x IN (list#x []) AS (c IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- SubqueryAlias spark_catalog.default.t_empty
+:        +- Relation spark_catalog.default.t_empty[e#x] json
++- SubqueryAlias spark_catalog.default.t
+   +- Relation spark_catalog.default.t[c#x] json
+
+
+-- !query
+select c, c in (select e from v_empty) from v
+-- !query analysis
+Project [c#x, c#x IN (list#x []) AS (c IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- SubqueryAlias v_empty
+:        +- View (`v_empty`, [e#x])
+:           +- Project [cast(1#x as int) AS e#x]
+:              +- Project [1 AS 1#x]
+:                 +- Filter false
+:                    +- OneRowRelation
++- SubqueryAlias v
+   +- View (`v`, [c#x])
+      +- Project [cast(col1#x as int) AS c#x]
+         +- LocalRelation [col1#x]
+
+
+-- !query
+select c, c not in (select e from t_empty) from t
+-- !query analysis
+Project [c#x, NOT c#x IN (list#x []) AS (NOT (c IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- SubqueryAlias spark_catalog.default.t_empty
+:        +- Relation spark_catalog.default.t_empty[e#x] json
++- SubqueryAlias spark_catalog.default.t
+   +- Relation spark_catalog.default.t[c#x] json
+
+
+-- !query
+select c, c not in (select e from v_empty) from v
+-- !query analysis
+Project [c#x, NOT c#x IN (list#x []) AS (NOT (c IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- SubqueryAlias v_empty
+:        +- View (`v_empty`, [e#x])
+:           +- Project [cast(1#x as int) AS e#x]
+:              +- Project [1 AS 1#x]
+:                 +- Filter false
+:                    +- OneRowRelation
++- SubqueryAlias v
+   +- View (`v`, [c#x])
+      +- Project [cast(col1#x as int) AS c#x]
+         +- LocalRelation [col1#x]
+
+
+-- !query
+select null in (select e from t_empty)
+-- !query analysis
+Project [cast(null as int) IN (list#x []) AS (NULL IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias spark_catalog.default.t_empty
+:           +- Relation spark_catalog.default.t_empty[e#x] json
++- OneRowRelation
+
+
+-- !query
+select null in (select e from v_empty)
+-- !query analysis
+Project [cast(null as int) IN (list#x []) AS (NULL IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias v_empty
+:           +- View (`v_empty`, [e#x])
+:              +- Project [cast(1#x as int) AS e#x]
+:                 +- Project [1 AS 1#x]
+:                    +- Filter false
+:                       +- OneRowRelation
++- OneRowRelation
+
+
+-- !query
+select null not in (select e from t_empty)
+-- !query analysis
+Project [NOT cast(null as int) IN (list#x []) AS (NOT (NULL IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias spark_catalog.default.t_empty
+:           +- Relation spark_catalog.default.t_empty[e#x] json
++- OneRowRelation
+
+
+-- !query
+select null not in (select e from v_empty)
+-- !query analysis
+Project [NOT cast(null as int) IN (list#x []) AS (NOT (NULL IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias v_empty
+:           +- View (`v_empty`, [e#x])
+:              +- Project [cast(1#x as int) AS e#x]
+:                 +- Project [1 AS 1#x]
+:                    +- Filter false
+:                       +- OneRowRelation
++- OneRowRelation
+
+
+-- !query
+select * from t left join t2 on (t.c in (select e from t_empty)) is null
+-- !query analysis
+Project [c#x, d#x]
++- Join LeftOuter, isnull(c#x IN (list#x []))
+   :  +- Project [e#x]
+   :     +- SubqueryAlias spark_catalog.default.t_empty
+   :        +- Relation spark_catalog.default.t_empty[e#x] json
+   :- SubqueryAlias spark_catalog.default.t
+   :  +- Relation spark_catalog.default.t[c#x] json
+   +- SubqueryAlias spark_catalog.default.t2
+      +- Relation spark_catalog.default.t2[d#x] json
+
+
+-- !query
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null
+-- !query analysis
+Project [c#x, d#x]
++- Join LeftOuter, isnull(NOT c#x IN (list#x []))
+   :  +- Project [e#x]
+   :     +- SubqueryAlias spark_catalog.default.t_empty
+   :        +- Relation spark_catalog.default.t_empty[e#x] json
+   :- SubqueryAlias spark_catalog.default.t
+   :  +- Relation spark_catalog.default.t[c#x] json
+   +- SubqueryAlias spark_catalog.default.t2
+      +- Relation spark_catalog.default.t2[d#x] json
+
+
+-- !query
+set spark.sql.legacy.nullInEmptyListBehavior = true
+-- !query analysis
+SetCommand (spark.sql.legacy.nullInEmptyListBehavior,Some(true))
+
+
+-- !query
+select null in (select e from t_empty)
+-- !query analysis
+Project [cast(null as int) IN (list#x []) AS (NULL IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias spark_catalog.default.t_empty
+:           +- Relation spark_catalog.default.t_empty[e#x] json
++- OneRowRelation
+
+
+-- !query
+select null in (select e from v_empty)
+-- !query analysis
+Project [cast(null as int) IN (list#x []) AS (NULL IN (listquery()))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias v_empty
+:           +- View (`v_empty`, [e#x])
+:              +- Project [cast(1#x as int) AS e#x]
+:                 +- Project [1 AS 1#x]
+:                    +- Filter false
+:                       +- OneRowRelation
++- OneRowRelation
+
+
+-- !query
+select null not in (select e from t_empty)
+-- !query analysis
+Project [NOT cast(null as int) IN (list#x []) AS (NOT (NULL IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias spark_catalog.default.t_empty
+:           +- Relation spark_catalog.default.t_empty[e#x] json
++- OneRowRelation
+
+
+-- !query
+select null not in (select e from v_empty)
+-- !query analysis
+Project [NOT cast(null as int) IN (list#x []) AS (NOT (NULL IN (listquery())))#x]
+:  +- Project [e#x]
+:     +- Project [e#x]
+:        +- SubqueryAlias v_empty
+:           +- View (`v_empty`, [e#x])
+:              +- Project [cast(1#x as int) AS e#x]
+:                 +- Project [1 AS 1#x]
+:                    +- Filter false
+:                       +- OneRowRelation
++- OneRowRelation
+
+
+-- !query
+select * from t left join t2 on (t.c in (select e from t_empty)) is null
+-- !query analysis
+Project [c#x, d#x]
++- Join LeftOuter, isnull(c#x IN (list#x []))
+   :  +- Project [e#x]
+   :     +- SubqueryAlias spark_catalog.default.t_empty
+   :        +- Relation spark_catalog.default.t_empty[e#x] json
+   :- SubqueryAlias spark_catalog.default.t
+   :  +- Relation spark_catalog.default.t[c#x] json
+   +- SubqueryAlias spark_catalog.default.t2
+      +- Relation spark_catalog.default.t2[d#x] json
+
+
+-- !query
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null
+-- !query analysis
+Project [c#x, d#x]
++- Join LeftOuter, isnull(NOT c#x IN (list#x []))
+   :  +- Project [e#x]
+   :     +- SubqueryAlias spark_catalog.default.t_empty
+   :        +- Relation spark_catalog.default.t_empty[e#x] json
+   :- SubqueryAlias spark_catalog.default.t
+   :  +- Relation spark_catalog.default.t[c#x] json
+   +- SubqueryAlias spark_catalog.default.t2
+      +- Relation spark_catalog.default.t2[d#x] json
+
+
+-- !query
+reset spark.sql.legacy.nullInEmptyListBehavior
+-- !query analysis
+ResetCommand spark.sql.legacy.nullInEmptyListBehavior
+
+
+-- !query
+drop table t
+-- !query analysis
+DropTable false, false
++- ResolvedIdentifier V2SessionCatalog(spark_catalog), default.t
+
+
+-- !query
+drop table t2
+-- !query analysis
+DropTable false, false
++- ResolvedIdentifier V2SessionCatalog(spark_catalog), default.t2
+
+
+-- !query
+drop table t_empty
+-- !query analysis
+DropTable false, false
++- ResolvedIdentifier V2SessionCatalog(spark_catalog), default.t_empty
diff --git a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
new file mode 100644
index 0000000000000..b893d8970b4d6
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
@@ -0,0 +1,57 @@
+create temp view v (c) as values (1), (null);
+create temp view v_empty (e) as select 1 where false;
+
+-- Note: tables and temp views hit different optimization/execution codepaths
+create table t(c int) using json;
+insert into t values (1), (null);
+create table t2(d int) using json;
+insert into t2 values (2);
+create table t_empty(e int) using json;
+
+
+
+set spark.sql.legacy.nullInEmptyListBehavior = false;
+
+-- null IN (empty subquery)
+-- Correct results: c in (emptylist) should always be false
+
+select c, c in (select e from t_empty) from t;
+select c, c in (select e from v_empty) from v;
+select c, c not in (select e from t_empty) from t;
+select c, c not in (select e from v_empty) from v;
+
+-- constant null IN (empty subquery) - rewritten by NullPropagation rule
+
+select null in (select e from t_empty);
+select null in (select e from v_empty);
+select null not in (select e from t_empty);
+select null not in (select e from v_empty);
+
+-- IN subquery which is not rewritten to join - here we use IN in the ON condition because that is a case that doesn't get rewritten to join in RewritePredicateSubquery, so we can observe the execution behavior of InSubquery directly
+-- Correct results: column t2.d should be NULL because the ON condition is always false
+-- This will be fixed by the execution fixes.
+select * from t left join t2 on (t.c in (select e from t_empty)) is null;
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null;
+
+
+
+-- Test legacy behavior flag
+set spark.sql.legacy.nullInEmptyListBehavior = true;
+
+-- constant null IN (empty subquery) - rewritten by NullPropagation rule
+
+select null in (select e from t_empty);
+select null in (select e from v_empty);
+select null not in (select e from t_empty);
+select null not in (select e from v_empty);
+
+-- IN subquery which is not rewritten to join - here we use IN in the ON condition because that is a case that doesn't get rewritten to join in RewritePredicateSubquery, so we can observe the execution behavior of InSubquery directly
+-- Correct results: column t2.d should be NULL because the ON condition is always false
+select * from t left join t2 on (t.c in (select e from t_empty)) is null;
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null;
+
+reset spark.sql.legacy.nullInEmptyListBehavior;
+
+drop table t;
+drop table t2;
+drop table t_empty;
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
new file mode 100644
index 0000000000000..39b03576baaf0
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
@@ -0,0 +1,239 @@
+-- Automatically generated by SQLQueryTestSuite
+-- !query
+create temp view v (c) as values (1), (null)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+create temp view v_empty (e) as select 1 where false
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+create table t(c int) using json
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+insert into t values (1), (null)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+create table t2(d int) using json
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+insert into t2 values (2)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+create table t_empty(e int) using json
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+set spark.sql.legacy.nullInEmptyListBehavior = false
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.nullInEmptyListBehavior	false
+
+
+-- !query
+select c, c in (select e from t_empty) from t
+-- !query schema
+struct<c:int,(c IN (listquery())):boolean>
+-- !query output
+1	false
+NULL	false
+
+
+-- !query
+select c, c in (select e from v_empty) from v
+-- !query schema
+struct<c:int,(c IN (listquery())):boolean>
+-- !query output
+1	false
+NULL	false
+
+
+-- !query
+select c, c not in (select e from t_empty) from t
+-- !query schema
+struct<c:int,(NOT (c IN (listquery()))):boolean>
+-- !query output
+1	true
+NULL	true
+
+
+-- !query
+select c, c not in (select e from v_empty) from v
+-- !query schema
+struct<c:int,(NOT (c IN (listquery()))):boolean>
+-- !query output
+1	true
+NULL	true
+
+
+-- !query
+select null in (select e from t_empty)
+-- !query schema
+struct<(NULL IN (listquery())):boolean>
+-- !query output
+false
+
+
+-- !query
+select null in (select e from v_empty)
+-- !query schema
+struct<(NULL IN (listquery())):boolean>
+-- !query output
+false
+
+
+-- !query
+select null not in (select e from t_empty)
+-- !query schema
+struct<(NOT (NULL IN (listquery()))):boolean>
+-- !query output
+true
+
+
+-- !query
+select null not in (select e from v_empty)
+-- !query schema
+struct<(NOT (NULL IN (listquery()))):boolean>
+-- !query output
+true
+
+
+-- !query
+select * from t left join t2 on (t.c in (select e from t_empty)) is null
+-- !query schema
+struct<c:int,d:int>
+-- !query output
+1	NULL
+NULL	2
+
+
+-- !query
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null
+-- !query schema
+struct<c:int,d:int>
+-- !query output
+1	NULL
+NULL	2
+
+
+-- !query
+set spark.sql.legacy.nullInEmptyListBehavior = true
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.nullInEmptyListBehavior	true
+
+
+-- !query
+select null in (select e from t_empty)
+-- !query schema
+struct<(NULL IN (listquery())):boolean>
+-- !query output
+NULL
+
+
+-- !query
+select null in (select e from v_empty)
+-- !query schema
+struct<(NULL IN (listquery())):boolean>
+-- !query output
+NULL
+
+
+-- !query
+select null not in (select e from t_empty)
+-- !query schema
+struct<(NOT (NULL IN (listquery()))):boolean>
+-- !query output
+NULL
+
+
+-- !query
+select null not in (select e from v_empty)
+-- !query schema
+struct<(NOT (NULL IN (listquery()))):boolean>
+-- !query output
+NULL
+
+
+-- !query
+select * from t left join t2 on (t.c in (select e from t_empty)) is null
+-- !query schema
+struct<c:int,d:int>
+-- !query output
+1	NULL
+NULL	2
+
+
+-- !query
+select * from t left join t2 on (t.c not in (select e from t_empty)) is null
+-- !query schema
+struct<c:int,d:int>
+-- !query output
+1	NULL
+NULL	2
+
+
+-- !query
+reset spark.sql.legacy.nullInEmptyListBehavior
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop table t
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop table t2
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop table t_empty
+-- !query schema
+struct<>
+-- !query output
+
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala
new file mode 100644
index 0000000000000..c9e016c891e77
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql
+
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.functions._
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.test.SharedSparkSession
+
+class EmptyInSuite extends QueryTest
+with SharedSparkSession {
+  import testImplicits._
+
+  val row = identity[(java.lang.Integer, java.lang.Double)](_)
+
+  lazy val t = Seq(
+    row((1, 1.0)),
+    row((null, 2.0))).toDF("a", "b")
+
+  test("IN with empty list") {
+    // This test has to be written in scala to construct a literal empty IN list, since that
+    // isn't valid syntax in SQL.
+    val emptylist = Seq.empty[Literal]
+
+    Seq(true, false).foreach { legacyNullInBehavior =>
+      // To observe execution behavior, disable the OptimizeIn rule which optimizes away empty lists
+      Seq(true, false).foreach { disableOptimizeIn =>
+        // Disable ConvertToLocalRelation since it would collapse the evaluation of the IN
+        // expression over the LocalRelation
+        var excludedRules = "org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation"
+        if (disableOptimizeIn) {
+          excludedRules += ",org.apache.spark.sql.catalyst.optimizer.OptimizeIn"
+        }
+        withSQLConf(
+          SQLConf.OPTIMIZER_EXCLUDED_RULES.key -> excludedRules,
+          SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> legacyNullInBehavior.toString) {
+          // We still get legacy behavior with disableOptimizeIn until execution is also fixed
+          val expectedResultForNullInEmpty =
+            if (legacyNullInBehavior || disableOptimizeIn) null else false
+          val df = t.select(col("a"), col("a").isin(emptylist: _*))
+          checkAnswer(
+            df,
+            Row(1, false) :: Row(null, expectedResultForNullInEmpty) :: Nil)
+        }
+      }
+    }
+  }
+}

From 630888727451d2ec7ba620a303d12bbda05d3801 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 20 Jul 2023 13:51:39 +0800
Subject: [PATCH 028/986] [SPARK-44367][SQL][UI] Show error message on UI for
 each failed query

### What changes were proposed in this pull request?

This PR adds an 'error message' col to the failed query execution table on the SQL/DataFrame tab of UI.

### Why are the changes needed?

The SQL tab of UI is not helping to detect SQL errors. This PR will provide users with a clear understanding of why their queries have failed.

### Does this PR introduce _any_ user-facing change?

SQL tab of UI shows errors for failed queries

### How was this patch tested?

built and tested locally

![image](https://github.com/apache/spark/assets/8326978/cf25e347-bb99-47f8-accd-aabaf8d3a9d8)

Closes #41951 from yaooqinn/SPARK-44367.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 399705512a417de460529843eb047d5c2e8f9e22)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/ui/UIUtils.scala   | 28 +++++++++++
 .../org/apache/spark/ui/jobs/StagePage.scala  | 15 +-----
 .../org/apache/spark/ui/jobs/StageTable.scala | 18 +------
 .../org/apache/spark/ui/UIUtilsSuite.scala    | 24 ++++++++-
 .../spark/sql/execution/SQLExecution.scala    |  2 +-
 .../sql/execution/ui/AllExecutionsPage.scala  | 50 ++++++++++++++++---
 .../thriftserver/ui/ThriftServerPage.scala    | 17 -------
 7 files changed, 97 insertions(+), 57 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index 0ce647d12c569..f0f8cf1310f00 100644
--- a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -31,6 +31,7 @@ import scala.util.control.NonFatal
 import scala.xml._
 import scala.xml.transform.{RewriteRule, RuleTransformer}
 
+import org.apache.commons.text.StringEscapeUtils
 import org.glassfish.jersey.internal.util.collection.MultivaluedStringMap
 
 import org.apache.spark.internal.Logging
@@ -708,4 +709,31 @@ private[spark] object UIUtils extends Logging {
       Seq.empty[Node]
     }
   }
+
+  private final val ERROR_CLASS_REGEX = """\[(?<errorClass>[A-Z][A-Z_.]+[A-Z])]""".r
+
+  private def errorSummary(errorMessage: String): (String, Boolean) = {
+    var isMultiline = true
+    val maybeErrorClass =
+      ERROR_CLASS_REGEX.findFirstMatchIn(errorMessage).map(_.group("errorClass"))
+    val errorClassOrBrief = if (maybeErrorClass.nonEmpty && maybeErrorClass.get.nonEmpty) {
+      maybeErrorClass.get
+    } else if (errorMessage.indexOf('\n') >= 0) {
+      errorMessage.substring(0, errorMessage.indexOf('\n'))
+    } else if (errorMessage.indexOf(":") >= 0) {
+      errorMessage.substring(0, errorMessage.indexOf(":"))
+    } else {
+      isMultiline = false
+      errorMessage
+    }
+
+    val errorSummary = StringEscapeUtils.escapeHtml4(errorClassOrBrief)
+    (errorSummary, isMultiline)
+  }
+
+  def errorMessageCell(errorMessage: String): Seq[Node] = {
+    val (summary, isMultiline) = errorSummary(errorMessage)
+    val details = detailsUINode(isMultiline, errorMessage)
+    <td>{summary}{details}</td>
+  }
 }
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
index 1934e9e58e6b2..02aece6e50a8d 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
@@ -696,7 +696,7 @@ private[ui] class TaskPagedTable(
         <td>{formatBytes(task.taskMetrics.map(_.memoryBytesSpilled))}</td>
         <td>{formatBytes(task.taskMetrics.map(_.diskBytesSpilled))}</td>
       }}
-      {errorMessageCell(task.errorMessage.getOrElse(""))}
+      {UIUtils.errorMessageCell(task.errorMessage.getOrElse(""))}
     </tr>
   }
 
@@ -713,19 +713,6 @@ private[ui] class TaskPagedTable(
   private def metricInfo(task: TaskData)(fn: TaskMetrics => Seq[Node]): Seq[Node] = {
     task.taskMetrics.map(fn).getOrElse(Nil)
   }
-
-  private def errorMessageCell(error: String): Seq[Node] = {
-    val isMultiline = error.indexOf('\n') >= 0
-    // Display the first line by default
-    val errorSummary = StringEscapeUtils.escapeHtml4(
-      if (isMultiline) {
-        error.substring(0, error.indexOf('\n'))
-      } else {
-        error
-      })
-    val details = UIUtils.detailsUINode(isMultiline, error)
-    <td>{errorSummary}{details}</td>
-  }
 }
 
 private[spark] object ApiHelper {
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
index 9e6eb418fe134..9e78f29e92e5d 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
@@ -24,8 +24,6 @@ import javax.servlet.http.HttpServletRequest
 
 import scala.xml._
 
-import org.apache.commons.text.StringEscapeUtils
-
 import org.apache.spark.status.AppStatusStore
 import org.apache.spark.status.api.v1
 import org.apache.spark.ui._
@@ -217,7 +215,7 @@ private[ui] class StagePagedTable(
         <td>{data.shuffleWriteWithUnit}</td> ++
         {
           if (isFailedStage) {
-            failureReasonHtml(info)
+            UIUtils.errorMessageCell(info.failureReason.getOrElse(""))
           } else {
             Seq.empty
           }
@@ -225,20 +223,6 @@ private[ui] class StagePagedTable(
     }
   }
 
-  private def failureReasonHtml(s: v1.StageData): Seq[Node] = {
-    val failureReason = s.failureReason.getOrElse("")
-    val isMultiline = failureReason.indexOf('\n') >= 0
-    // Display the first line by default
-    val failureReasonSummary = StringEscapeUtils.escapeHtml4(
-      if (isMultiline) {
-        failureReason.substring(0, failureReason.indexOf('\n'))
-      } else {
-        failureReason
-      })
-    val details = UIUtils.detailsUINode(isMultiline, failureReason)
-    <td valign="middle">{failureReasonSummary}{details}</td>
-  }
-
   private def makeDescription(s: v1.StageData, descriptionOption: Option[String]): Seq[Node] = {
     val basePathUri = UIUtils.prependBaseUri(request, basePath)
 
diff --git a/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala b/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
index 9d040bb4e1ec7..aecd25f6c8dea 100644
--- a/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
@@ -20,7 +20,7 @@ package org.apache.spark.ui
 import scala.xml.{Node, Text}
 import scala.xml.Utility.trim
 
-import org.apache.spark.SparkFunSuite
+import org.apache.spark.{ErrorMessageFormat, SparkException, SparkFunSuite, SparkThrowableHelper}
 
 class UIUtilsSuite extends SparkFunSuite {
   import UIUtils._
@@ -189,4 +189,26 @@ class UIUtilsSuite extends SparkFunSuite {
     assert(generated.sameElements(expected),
       s"\n$errorMsg\n\nExpected:\n$expected\nGenerated:\n$generated")
   }
+
+  // scalastyle:off line.size.limit
+  test("SPARK-44367: Extract errorClass from errorMsg with errorMessageCell") {
+    val e1 = "Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1) (10.221.98.22 executor driver): org.apache.spark.SparkArithmeticException: [DIVIDE_BY_ZERO] Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead. If necessary set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error.\n== SQL(line 1, position 8) ==\nselect a/b from src\n       ^^^\n\n\tat org.apache.spark.sql.errors.QueryExecutionErrors$.divideByZeroError(QueryExecutionErrors.scala:226)\n\tat org.apache.spark.sql.errors.QueryExecutionErrors.divideByZeroError(QueryExecutionErrors.scala)\n\tat org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:54)\n\tat org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)\n\tat org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:328)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:592)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1474)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:595)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:750)\n\nDriver stacktrace:"
+    val cell1 = UIUtils.errorMessageCell(e1)
+    assert(cell1 === <td>{"DIVIDE_BY_ZERO"}{UIUtils.detailsUINode(isMultiline = true, e1)}</td>)
+
+    val e2 = SparkException.internalError("test")
+    val cell2 = UIUtils.errorMessageCell(e2.getMessage)
+    assert(cell2 === <td>{"INTERNAL_ERROR"}{UIUtils.detailsUINode(isMultiline = true, e2.getMessage)}</td>)
+
+    val e3 = new SparkException(
+      errorClass = "CANNOT_CAST_DATATYPE",
+      messageParameters = Map("sourceType" -> "long", "targetType" -> "int"), cause = null)
+    val cell3 = UIUtils.errorMessageCell(SparkThrowableHelper.getMessage(e3, ErrorMessageFormat.PRETTY))
+    assert(cell3 === <td>{"CANNOT_CAST_DATATYPE"}{UIUtils.detailsUINode(isMultiline = true, e3.getMessage)}</td>)
+
+    val e4 = "java.lang.RuntimeException: random text"
+    val cell4 = UIUtils.errorMessageCell(e4)
+    assert(cell4 === <td>{"java.lang.RuntimeException"}{UIUtils.detailsUINode(isMultiline = true, e4)}</td>)
+  }
+  // scalastyle:on line.size.limit
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
index eeca1669e746a..68b29e9e216f5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
@@ -124,7 +124,7 @@ object SQLExecution {
           val endTime = System.nanoTime()
           val errorMessage = ex.map {
             case e: SparkThrowable =>
-              SparkThrowableHelper.getMessage(e, ErrorMessageFormat.MINIMAL)
+              SparkThrowableHelper.getMessage(e, ErrorMessageFormat.PRETTY)
             case e =>
               // unexpected behavior
               SparkThrowableHelper.getMessage(e)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/AllExecutionsPage.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/AllExecutionsPage.scala
index a69ca1bbc80d4..2e088ec8e4bc2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/AllExecutionsPage.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/AllExecutionsPage.scala
@@ -75,8 +75,16 @@ private[ui] class AllExecutionsPage(parent: SQLTab) extends WebUIPage("") with L
 
       if (running.nonEmpty) {
         val runningPageTable =
-          executionsTable(request, "running", running.toSeq,
-            executionIdToSubExecutions.mapValues(_.toSeq).toMap, currentTime, true, true, true)
+          executionsTable(
+            request,
+            "running",
+            running.toSeq,
+            executionIdToSubExecutions.mapValues(_.toSeq).toMap,
+            currentTime,
+            showErrorMessage = false,
+            showRunningJobs = true,
+            showSucceededJobs = true,
+            showFailedJobs = true)
 
         _content ++=
           <span id="running" class="collapse-aggregated-runningExecutions collapse-table"
@@ -93,9 +101,16 @@ private[ui] class AllExecutionsPage(parent: SQLTab) extends WebUIPage("") with L
       }
 
       if (completed.nonEmpty) {
-        val completedPageTable =
-          executionsTable(request, "completed", completed.toSeq,
-            executionIdToSubExecutions.mapValues(_.toSeq).toMap, currentTime, false, true, false)
+        val completedPageTable = executionsTable(
+          request,
+          "completed",
+          completed.toSeq,
+          executionIdToSubExecutions.mapValues(_.toSeq).toMap,
+          currentTime,
+          showErrorMessage = false,
+          showRunningJobs = false,
+          showSucceededJobs = true,
+          showFailedJobs = false)
 
         _content ++=
           <span id="completed" class="collapse-aggregated-completedExecutions collapse-table"
@@ -113,8 +128,16 @@ private[ui] class AllExecutionsPage(parent: SQLTab) extends WebUIPage("") with L
 
       if (failed.nonEmpty) {
         val failedPageTable =
-          executionsTable(request, "failed", failed.toSeq,
-            executionIdToSubExecutions.mapValues(_.toSeq).toMap, currentTime, false, true, true)
+          executionsTable(
+            request,
+            "failed",
+            failed.toSeq,
+            executionIdToSubExecutions.mapValues(_.toSeq).toMap,
+            currentTime,
+            showErrorMessage = true,
+            showRunningJobs = false,
+            showSucceededJobs = true,
+            showFailedJobs = true)
 
         _content ++=
           <span id="failed" class="collapse-aggregated-failedExecutions collapse-table"
@@ -176,6 +199,7 @@ private[ui] class AllExecutionsPage(parent: SQLTab) extends WebUIPage("") with L
     executionData: Seq[SQLExecutionUIData],
     executionIdToSubExecutions: Map[Long, Seq[SQLExecutionUIData]],
     currentTime: Long,
+    showErrorMessage: Boolean,
     showRunningJobs: Boolean,
     showSucceededJobs: Boolean,
     showFailedJobs: Boolean): Seq[Node] = {
@@ -195,6 +219,7 @@ private[ui] class AllExecutionsPage(parent: SQLTab) extends WebUIPage("") with L
         UIUtils.prependBaseUri(request, parent.basePath),
         "SQL", // subPath
         currentTime,
+        showErrorMessage,
         showRunningJobs,
         showSucceededJobs,
         showFailedJobs,
@@ -220,6 +245,7 @@ private[ui] class ExecutionPagedTable(
     basePath: String,
     subPath: String,
     currentTime: Long,
+    showErrorMessage: Boolean,
     showRunningJobs: Boolean,
     showSucceededJobs: Boolean,
     showFailedJobs: Boolean,
@@ -287,6 +313,12 @@ private[ui] class ExecutionPagedTable(
       } else {
         Seq(("Job IDs", true, None))
       }
+    } ++ {
+      if (showErrorMessage) {
+        Seq(("Error Message", true, None))
+      } else {
+        Nil
+      }
     } ++ {
       if (showSubExecutions) {
         Seq(("Sub Execution IDs", true, None))
@@ -363,6 +395,9 @@ private[ui] class ExecutionPagedTable(
             {jobLinks(executionTableRow.failedJobData)}
           </td>
         }}
+        {if (showErrorMessage) {
+          UIUtils.errorMessageCell(executionUIData.errorMessage.getOrElse(""))
+        }}
         {if (showSubExecutions) {
           <td>
             {executionLinks(executionTableRow.subExecutionData.map(_.executionUIData.executionId))}
@@ -536,6 +571,7 @@ private[ui] class ExecutionDataSource(
       case "Job IDs" | "Succeeded Job IDs" => Ordering by (_.completedJobData.headOption)
       case "Running Job IDs" => Ordering.by(_.runningJobData.headOption)
       case "Failed Job IDs" => Ordering.by(_.failedJobData.headOption)
+      case "Error Message" => Ordering.by(_.executionUIData.errorMessage)
       case unknownColumn => throw QueryExecutionErrors.unknownColumnError(unknownColumn)
     }
     if (desc) {
diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPage.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPage.scala
index d0378efd646e3..d47a99466a543 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPage.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPage.scala
@@ -23,8 +23,6 @@ import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
-import org.apache.commons.text.StringEscapeUtils
-
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.hive.thriftserver.ui.ToolTips._
 import org.apache.spark.ui._
@@ -274,21 +272,6 @@ private[ui] class SqlStatsPagedTable(
     </tr>
   }
 
-
-  private def errorMessageCell(errorMessage: String): Seq[Node] = {
-    val isMultiline = errorMessage.indexOf('\n') >= 0
-    val errorSummary = StringEscapeUtils.escapeHtml4(
-      if (isMultiline) {
-        errorMessage.substring(0, errorMessage.indexOf('\n'))
-      } else {
-        errorMessage
-      })
-    val details = detailsUINode(isMultiline, errorMessage)
-    <td>
-      {errorSummary}{details}
-    </td>
-  }
-
   private def jobURL(request: HttpServletRequest, jobId: String): String =
     "%s/jobs/job/?id=%s".format(UIUtils.prependBaseUri(request, parent.basePath), jobId)
 }

From 5406982703cd9fcabda69b1a8078354be3ee739c Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Thu, 20 Jul 2023 15:25:31 +0800
Subject: [PATCH 029/986] [SPARK-44475][SQL][CONNECT] Relocate DataType and
 Parser to sql/api

### What changes were proposed in this pull request?

This PR relocates Parser and DataType family to sql/api.

### Why are the changes needed?

To extract DataType and Parser as an API into a shared module.

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

UT

Closes #41928 from amaliujia/datatype_1.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 8ff6b7a04cbaef9c552789ad5550ceab760cb078)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/SparkException.scala     |   9 +
 .../apache/spark/util/SparkClassUtils.scala   |   7 +
 .../spark/util/SparkCollectionUtils.scala     |  37 +
 .../CheckConnectJvmClientCompatibility.scala  |   4 +
 .../planner/SparkConnectPlannerSuite.scala    |   2 +-
 .../planner/SparkConnectProtoSuite.scala      |   3 +-
 .../scala/org/apache/spark/util/Utils.scala   |   5 -
 .../apache/spark/util/collection/Utils.scala  |  18 +-
 dev/.rat-excludes                             |   1 +
 project/MimaExcludes.scala                    |  65 ++
 project/SparkBuild.scala                      |   4 +-
 sql/api/pom.xml                               |  35 +
 .../spark/sql/catalyst/parser/SqlBaseLexer.g4 |   0
 .../sql/catalyst/parser/SqlBaseLexer.tokens   | 665 ++++++++++++++++++
 .../sql/catalyst/parser/SqlBaseParser.g4      |   0
 .../org/apache/spark/sql/SqlApiConf.scala     |   6 +
 .../catalyst/analysis/SqlApiAnalysis.scala    |  25 +
 .../catalyst/parser/DataTypeAstBuilder.scala  |   9 +-
 .../parser/DataTypeParserInterface.scala      |   0
 .../parser/LegacyTypeStringParser.scala       |   4 +-
 .../parser/SparkParserErrorStrategy.scala     |   0
 .../spark/sql/catalyst/parser/parsers.scala   |   7 +-
 .../catalyst/util/AttributeNameParser.scala   |  68 ++
 .../sql/catalyst/util/DataTypeJsonUtils.scala |   0
 .../sql/catalyst/util/QuotingUtils.scala      |  19 +
 .../util/ResolveDefaultColumnsUtils.scala     |  46 ++
 .../sql/catalyst/util/SparkParserUtils.scala  | 156 ++++
 .../spark/sql/errors/DataTypeErrors.scala     | 123 +++-
 .../spark/sql/errors/DataTypeErrorsBase.scala |  49 +-
 .../spark/sql/errors/QueryParsingErrors.scala |   7 +-
 .../spark/sql/types/AbstractDataType.scala    |   0
 .../apache/spark/sql/types/ArrayType.scala    |   0
 .../apache/spark/sql/types/BinaryType.scala   |   0
 .../apache/spark/sql/types/BooleanType.scala  |   0
 .../org/apache/spark/sql/types/ByteType.scala |   0
 .../sql/types/CalendarIntervalType.scala      |   0
 .../org/apache/spark/sql/types/CharType.scala |   0
 .../org/apache/spark/sql/types/DataType.scala |   8 +-
 .../org/apache/spark/sql/types/DateType.scala |   0
 .../spark/sql/types/DayTimeIntervalType.scala |   0
 .../org/apache/spark/sql/types/Decimal.scala  |  29 +-
 .../apache/spark/sql/types/DecimalType.scala  |   4 +-
 .../apache/spark/sql/types/DoubleType.scala   |   0
 .../apache/spark/sql/types/FloatType.scala    |   0
 .../apache/spark/sql/types/IntegerType.scala  |   0
 .../org/apache/spark/sql/types/LongType.scala |   0
 .../org/apache/spark/sql/types/MapType.scala  |   0
 .../org/apache/spark/sql/types/Metadata.scala |   0
 .../org/apache/spark/sql/types/NullType.scala |   0
 .../apache/spark/sql/types/ObjectType.scala   |   0
 .../apache/spark/sql/types/ShortType.scala    |   0
 .../apache/spark/sql/types/StringType.scala   |   0
 .../apache/spark/sql/types/StructField.scala  |  11 +-
 .../apache/spark/sql/types/StructType.scala   |  31 +-
 .../spark/sql/types/TimestampNTZType.scala    |   0
 .../spark/sql/types/TimestampType.scala       |   0
 .../spark/sql/types/UDTRegistration.scala     |   6 +-
 .../spark/sql/types/UserDefinedType.scala     |   0
 .../apache/spark/sql/types/VarcharType.scala  |   0
 .../sql/types/YearMonthIntervalType.scala     |   0
 sql/catalyst/pom.xml                          |   8 -
 .../analysis/RewriteRowLevelCommand.scala     |   6 +-
 .../spark/sql/catalyst/analysis/package.scala |   2 +-
 .../sql/catalyst/analysis/unresolved.scala    |  47 +-
 .../spark/sql/catalyst/dsl/package.scala      |   2 +-
 .../aggregate/HyperLogLogPlusPlus.scala       |   3 +-
 .../expressions/aggregate/PivotFirst.scala    |   3 +-
 .../expressions/aggregate/interfaces.scala    |   5 +-
 .../expressions/bitmapExpressions.scala       |   5 +-
 .../sql/catalyst/optimizer/objects.scala      |   2 +-
 .../sql/catalyst/parser/ParserUtils.scala     | 135 +---
 .../spark/sql/catalyst/plans/QueryPlan.scala  |   3 +-
 .../plans/logical/LocalRelation.scala         |   4 +-
 .../plans/logical/basicLogicalOperators.scala |   2 +-
 .../sql/catalyst/plans/logical/object.scala   |   7 +-
 .../sql/catalyst/types/DataTypeUtils.scala    |   5 +-
 .../util/ResolveDefaultColumnsUtil.scala      |  24 +-
 .../spark/sql/catalyst/util/package.scala     |  15 +-
 .../sql/errors/QueryCompilationErrors.scala   |   4 +-
 .../spark/sql/errors/QueryErrorsBase.scala    |  72 +-
 .../sql/errors/QueryExecutionErrors.scala     |  29 +-
 .../spark/sql/catalyst/SQLKeywordSuite.scala  |   4 +-
 .../PropagateEmptyRelationSuite.scala         |   7 +-
 .../spark/sql/types/StructTypeSuite.scala     |  24 +-
 .../sql/execution/CollectMetricsExec.scala    |   3 +-
 .../spark/sql/execution/SparkStrategies.scala |   4 +-
 .../aggregate/HashAggregateExec.scala         |   7 +-
 .../aggregate/ObjectAggregationIterator.scala |   5 +-
 .../aggregate/ObjectAggregationMap.scala      |   6 +-
 .../TungstenAggregationIterator.scala         |  10 +-
 .../execution/columnar/InMemoryRelation.scala |   3 +-
 .../datasources/DataSourceStrategy.scala      |   4 +-
 .../datasources/PartitioningUtils.scala       |   3 +-
 .../datasources/v2/V2CommandExec.scala        |   4 +-
 .../execution/datasources/v2/V2Writes.scala   |   3 +-
 .../exchange/ShuffleExchangeExec.scala        |   4 +-
 .../apache/spark/sql/execution/objects.scala  |   3 +-
 .../python/FlatMapCoGroupsInPandasExec.scala  |   6 +-
 .../python/FlatMapGroupsInPandasExec.scala    |   4 +-
 .../FlatMapGroupsInPandasWithStateExec.scala  |   3 +-
 .../StreamingAggregationStateManager.scala    |   5 +-
 .../org/apache/spark/sql/DataFrameSuite.scala |   2 +-
 .../spark/sql/connector/AlterTableTests.scala |   2 +-
 .../errors/QueryCompilationErrorsSuite.scala  |   4 +-
 .../CoalesceBucketsInJoinSuite.scala          |   5 +-
 105 files changed, 1504 insertions(+), 467 deletions(-)
 create mode 100644 common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
 rename sql/{catalyst => api}/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.g4 (100%)
 create mode 100644 sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
 rename sql/{catalyst => api}/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4 (100%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/SqlApiAnalysis.scala
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala (96%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeParserInterface.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala (95%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/parser/SparkParserErrorStrategy.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala (98%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/AttributeNameParser.scala
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/DataTypeJsonUtils.scala (100%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtils.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkParserUtils.scala
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala (98%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/ArrayType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/BinaryType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/BooleanType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/ByteType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/CalendarIntervalType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/CharType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/DataType.scala (98%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/DateType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/Decimal.scala (96%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/DecimalType.scala (98%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/DoubleType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/FloatType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/IntegerType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/LongType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/MapType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/Metadata.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/NullType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/ObjectType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/ShortType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/StringType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/StructField.scala (91%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/StructType.scala (94%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/TimestampNTZType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/TimestampType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala (95%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/VarcharType.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/types/YearMonthIntervalType.scala (100%)

diff --git a/common/utils/src/main/scala/org/apache/spark/SparkException.scala b/common/utils/src/main/scala/org/apache/spark/SparkException.scala
index feb7bf5b66eda..4dafaba685e71 100644
--- a/common/utils/src/main/scala/org/apache/spark/SparkException.scala
+++ b/common/utils/src/main/scala/org/apache/spark/SparkException.scala
@@ -58,6 +58,15 @@ class SparkException(
       errorClass = Some(errorClass),
       messageParameters = messageParameters)
 
+  def this(errorClass: String, messageParameters: Map[String, String], cause: Throwable,
+      context: Array[QueryContext]) =
+    this(
+      message = SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause = cause,
+      errorClass = Some(errorClass),
+      messageParameters = messageParameters,
+      context = context)
+
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
   override def getErrorClass: String = errorClass.orNull
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
index 011f74de1febe..7401e3762417f 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.util
 
+import scala.util.Try
+
 trait SparkClassUtils {
   def getSparkClassLoader: ClassLoader = getClass.getClassLoader
 
@@ -39,6 +41,11 @@ trait SparkClassUtils {
     }
     // scalastyle:on classforname
   }
+
+  /** Determines whether the provided class is loadable in the current thread. */
+  def classIsLoadable(clazz: String): Boolean = {
+    Try { classForName(clazz, initialize = false) }.isSuccess
+  }
 }
 
 object SparkClassUtils extends SparkClassUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
new file mode 100644
index 0000000000000..7fecc9ccb664d
--- /dev/null
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
@@ -0,0 +1,37 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.util
+
+import scala.collection.immutable
+
+trait SparkCollectionUtils {
+  /**
+   * Same function as `keys.zipWithIndex.toMap`, but has perf gain.
+   */
+  def toMapWithIndex[K](keys: Iterable[K]): Map[K, Int] = {
+    val builder = immutable.Map.newBuilder[K, Int]
+    val keyIter = keys.iterator
+    var idx = 0
+    while (keyIter.hasNext) {
+      builder += (keyIter.next(), idx).asInstanceOf[(K, Int)]
+      idx = idx + 1
+    }
+    builder.result()
+  }
+}
+
+object SparkCollectionUtils extends SparkCollectionUtils
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 70db03df7bdd8..e7f01d6140dec 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -311,6 +311,10 @@ object CheckConnectJvmClientCompatibility {
         "org.apache.spark.sql.SQLImplicits._sqlContext" // protected
       ),
 
+      // Catalyst Refactoring
+      ProblemFilters.exclude[Problem]("org.apache.spark.sql.catalyst.util.SparkCollectionUtils"),
+      ProblemFilters.exclude[Problem]("org.apache.spark.sql.catalyst.util.SparkCollectionUtils$"),
+
       // New public APIs added in the client
       // ScalarUserDefinedFunction
       ProblemFilters
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
index 595f9d65c269b..40d83b07b756d 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
@@ -105,7 +105,7 @@ trait SparkConnectPlanTest extends SharedSparkSession {
     val bytes = ArrowConverters
       .toBatchWithSchemaIterator(
         data.iterator,
-        StructType.fromAttributes(attrs.map(_.toAttribute)),
+        DataTypeUtils.fromAttributes(attrs.map(_.toAttribute)),
         Long.MaxValue,
         Long.MaxValue,
         null,
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
index 82941d8d72e50..63b6f775d7b14 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
@@ -32,6 +32,7 @@ import org.apache.spark.sql.catalyst.analysis
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GenericInternalRow, UnsafeProjection}
 import org.apache.spark.sql.catalyst.plans.{FullOuter, Inner, LeftAnti, LeftOuter, LeftSemi, PlanTest, RightOuter}
 import org.apache.spark.sql.catalyst.plans.logical.{Distinct, LocalRelation, LogicalPlan}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto
 import org.apache.spark.sql.connect.dsl.MockRemoteSession
@@ -1050,7 +1051,7 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
     val buffer = ArrowConverters
       .toBatchWithSchemaIterator(
         Iterator.empty,
-        StructType.fromAttributes(attributes),
+        DataTypeUtils.fromAttributes(attributes),
         Long.MaxValue,
         Long.MaxValue,
         null,
diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 048c6ebfa7489..5c9eea7a15176 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -190,11 +190,6 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     weakStringInterner.intern(s)
   }
 
-  /** Determines whether the provided class is loadable in the current thread. */
-  def classIsLoadable(clazz: String): Boolean = {
-    Try { classForName(clazz, initialize = false) }.isSuccess
-  }
-
   /**
    * Run a segment of code using a different context class loader in the current thread
    */
diff --git a/core/src/main/scala/org/apache/spark/util/collection/Utils.scala b/core/src/main/scala/org/apache/spark/util/collection/Utils.scala
index 1c3699058e462..b2ced00e8d6c5 100644
--- a/core/src/main/scala/org/apache/spark/util/collection/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/collection/Utils.scala
@@ -24,10 +24,12 @@ import scala.collection.immutable
 
 import com.google.common.collect.{Iterators => GuavaIterators, Ordering => GuavaOrdering}
 
+import org.apache.spark.sql.catalyst.util.SparkCollectionUtils
+
 /**
  * Utility functions for collections.
  */
-private[spark] object Utils {
+private[spark] object Utils extends SparkCollectionUtils {
 
   /**
    * Returns the first K elements from the input as defined by the specified implicit Ordering[T]
@@ -79,20 +81,6 @@ private[spark] object Utils {
     builder.result()
   }
 
-  /**
-   * Same function as `keys.zipWithIndex.toMap`, but has perf gain.
-   */
-  def toMapWithIndex[K](keys: Iterable[K]): Map[K, Int] = {
-    val builder = immutable.Map.newBuilder[K, Int]
-    val keyIter = keys.iterator
-    var idx = 0
-    while (keyIter.hasNext) {
-      builder += (keyIter.next(), idx).asInstanceOf[(K, Int)]
-      idx = idx + 1
-    }
-    builder.result()
-  }
-
   /**
    * Same function as `keys.zip(values).toMap.asJava`, but has perf gain.
    */
diff --git a/dev/.rat-excludes b/dev/.rat-excludes
index 58c60e4485e8e..15ddfddd0e895 100644
--- a/dev/.rat-excludes
+++ b/dev/.rat-excludes
@@ -139,6 +139,7 @@ exported_table/*
 ansible-for-test-node/*
 node_modules
 spark-events-broken/*
+SqlBaseLexer.tokens
 # Spark Connect related files with custom licence
 any.proto
 empty.proto
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 2e70fd9225c66..d727c8c6917cd 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -105,6 +105,71 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.StorageLevel"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.StorageLevel$"),
 
+    // SPARK-44475: Relocate DataType and Parser to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ArrayType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ArrayType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.BinaryType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.BinaryType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.BooleanType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.BooleanType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ByteType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ByteType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.CalendarIntervalType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.CalendarIntervalType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.CharType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.CharType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DataType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DataType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DateType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DateType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DayTimeIntervalType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DayTimeIntervalType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.Decimal"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.Decimal$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ShortType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ShortType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StringType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StringType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StructField"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StructField$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StructType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.StructType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.TimestampNTZType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.TimestampNTZType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.TimestampType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.TimestampType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.UDTRegistration"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.UDTRegistration$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.VarcharType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.VarcharType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.YearMonthIntervalType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.YearMonthIntervalType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DecimalType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DecimalType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DoubleType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DoubleType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DoubleType$DoubleAsIfIntegral"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DoubleType$DoubleAsIfIntegral$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DoubleType$DoubleIsConflicted"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.FloatType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.FloatType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.FloatType$FloatAsIfIntegral"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.FloatType$FloatAsIfIntegral$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.FloatType$FloatIsConflicted"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.IntegerType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.IntegerType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.LongType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.LongType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.MapType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.MapType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.Metadata"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.Metadata$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.MetadataBuilder"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.NullType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.NullType$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ObjectType"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ObjectType$"),
+
     (problem: Problem) => problem match {
       case MissingClassProblem(cls) => !cls.fullName.startsWith("org.sparkproject.jpmml") &&
           !cls.fullName.startsWith("org.sparkproject.dmg.pmml")
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index e14886a916509..cc27686b6b335 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -448,8 +448,8 @@ object SparkBuild extends PomBuild {
   /* Enable unidoc only for the root spark project */
   enable(Unidoc.settings)(spark)
 
-  /* Catalyst ANTLR generation settings */
-  enable(Catalyst.settings)(catalyst)
+  /* Sql-api ANTLR generation settings */
+  enable(Catalyst.settings)(sqlApi)
 
   /* Spark SQL Core console settings */
   enable(SQL.settings)(sql)
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 6add5679ce7c4..f51b34d83314b 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -35,6 +35,10 @@
     </properties>
 
     <dependencies>
+        <dependency>
+            <groupId>org.scala-lang.modules</groupId>
+            <artifactId>scala-parser-combinators_${scala.binary.version}</artifactId>
+        </dependency>
         <dependency>
             <groupId>org.apache.spark</groupId>
             <artifactId>spark-common-utils_${scala.binary.version}</artifactId>
@@ -45,6 +49,21 @@
             <artifactId>spark-unsafe_${scala.binary.version}</artifactId>
             <version>${project.version}</version>
         </dependency>
+        <dependency>
+            <groupId>org.json4s</groupId>
+            <artifactId>json4s-jackson_${scala.binary.version}</artifactId>
+            <version>3.7.0-M11</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>com.fasterxml.jackson.core</groupId>
+                    <artifactId>*</artifactId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+        <dependency>
+            <groupId>org.antlr</groupId>
+            <artifactId>antlr4-runtime</artifactId>
+        </dependency>
     </dependencies>
     <build>
         <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
@@ -68,6 +87,22 @@
                     </execution>
                 </executions>
             </plugin>
+            <plugin>
+                <groupId>org.antlr</groupId>
+                <artifactId>antlr4-maven-plugin</artifactId>
+                <executions>
+                    <execution>
+                        <goals>
+                            <goal>antlr4</goal>
+                        </goals>
+                    </execution>
+                </executions>
+                <configuration>
+                    <visitor>true</visitor>
+                    <sourceDirectory>../api/src/main/antlr4</sourceDirectory>
+                    <treatWarningsAsErrors>true</treatWarningsAsErrors>
+                </configuration>
+            </plugin>
         </plugins>
     </build>
 </project>
\ No newline at end of file
diff --git a/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.g4 b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.g4
similarity index 100%
rename from sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.g4
rename to sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.g4
diff --git a/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
new file mode 100644
index 0000000000000..459749d8ffe6f
--- /dev/null
+++ b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
@@ -0,0 +1,665 @@
+SEMICOLON=1
+LEFT_PAREN=2
+RIGHT_PAREN=3
+COMMA=4
+DOT=5
+LEFT_BRACKET=6
+RIGHT_BRACKET=7
+ADD=8
+AFTER=9
+ALL=10
+ALTER=11
+ANALYZE=12
+AND=13
+ANTI=14
+ANY=15
+ANY_VALUE=16
+ARCHIVE=17
+ARRAY=18
+AS=19
+ASC=20
+AT=21
+AUTHORIZATION=22
+BETWEEN=23
+BOTH=24
+BUCKET=25
+BUCKETS=26
+BY=27
+CACHE=28
+CASCADE=29
+CASE=30
+CAST=31
+CATALOG=32
+CATALOGS=33
+CHANGE=34
+CHECK=35
+CLEAR=36
+CLUSTER=37
+CLUSTERED=38
+CODEGEN=39
+COLLATE=40
+COLLECTION=41
+COLUMN=42
+COLUMNS=43
+COMMENT=44
+COMMIT=45
+COMPACT=46
+COMPACTIONS=47
+COMPUTE=48
+CONCATENATE=49
+CONSTRAINT=50
+COST=51
+CREATE=52
+CROSS=53
+CUBE=54
+CURRENT=55
+CURRENT_DATE=56
+CURRENT_TIME=57
+CURRENT_TIMESTAMP=58
+CURRENT_USER=59
+DAY=60
+DAYS=61
+DAYOFYEAR=62
+DATA=63
+DATABASE=64
+DATABASES=65
+DATEADD=66
+DATEDIFF=67
+DBPROPERTIES=68
+DEFAULT=69
+DEFINED=70
+DELETE=71
+DELIMITED=72
+DESC=73
+DESCRIBE=74
+DFS=75
+DIRECTORIES=76
+DIRECTORY=77
+DISTINCT=78
+DISTRIBUTE=79
+DIV=80
+DROP=81
+ELSE=82
+END=83
+ESCAPE=84
+ESCAPED=85
+EXCEPT=86
+EXCHANGE=87
+EXCLUDE=88
+EXISTS=89
+EXPLAIN=90
+EXPORT=91
+EXTENDED=92
+EXTERNAL=93
+EXTRACT=94
+FALSE=95
+FETCH=96
+FIELDS=97
+FILTER=98
+FILEFORMAT=99
+FIRST=100
+FOLLOWING=101
+FOR=102
+FOREIGN=103
+FORMAT=104
+FORMATTED=105
+FROM=106
+FULL=107
+FUNCTION=108
+FUNCTIONS=109
+GLOBAL=110
+GRANT=111
+GROUP=112
+GROUPING=113
+HAVING=114
+HOUR=115
+HOURS=116
+IF=117
+IGNORE=118
+IMPORT=119
+IN=120
+INCLUDE=121
+INDEX=122
+INDEXES=123
+INNER=124
+INPATH=125
+INPUTFORMAT=126
+INSERT=127
+INTERSECT=128
+INTERVAL=129
+INTO=130
+IS=131
+ITEMS=132
+JOIN=133
+KEYS=134
+LAST=135
+LATERAL=136
+LAZY=137
+LEADING=138
+LEFT=139
+LIKE=140
+ILIKE=141
+LIMIT=142
+LINES=143
+LIST=144
+LOAD=145
+LOCAL=146
+LOCATION=147
+LOCK=148
+LOCKS=149
+LOGICAL=150
+MACRO=151
+MAP=152
+MATCHED=153
+MERGE=154
+MICROSECOND=155
+MICROSECONDS=156
+MILLISECOND=157
+MILLISECONDS=158
+MINUTE=159
+MINUTES=160
+MONTH=161
+MONTHS=162
+MSCK=163
+NAMESPACE=164
+NAMESPACES=165
+NANOSECOND=166
+NANOSECONDS=167
+NATURAL=168
+NO=169
+NOT=170
+NULL=171
+NULLS=172
+OF=173
+OFFSET=174
+ON=175
+ONLY=176
+OPTION=177
+OPTIONS=178
+OR=179
+ORDER=180
+OUT=181
+OUTER=182
+OUTPUTFORMAT=183
+OVER=184
+OVERLAPS=185
+OVERLAY=186
+OVERWRITE=187
+PARTITION=188
+PARTITIONED=189
+PARTITIONS=190
+PERCENTILE_CONT=191
+PERCENTILE_DISC=192
+PERCENTLIT=193
+PIVOT=194
+PLACING=195
+POSITION=196
+PRECEDING=197
+PRIMARY=198
+PRINCIPALS=199
+PROPERTIES=200
+PURGE=201
+QUARTER=202
+QUERY=203
+RANGE=204
+RECORDREADER=205
+RECORDWRITER=206
+RECOVER=207
+REDUCE=208
+REFERENCES=209
+REFRESH=210
+RENAME=211
+REPAIR=212
+REPEATABLE=213
+REPLACE=214
+RESET=215
+RESPECT=216
+RESTRICT=217
+REVOKE=218
+RIGHT=219
+RLIKE=220
+ROLE=221
+ROLES=222
+ROLLBACK=223
+ROLLUP=224
+ROW=225
+ROWS=226
+SECOND=227
+SECONDS=228
+SCHEMA=229
+SCHEMAS=230
+SELECT=231
+SEMI=232
+SEPARATED=233
+SERDE=234
+SERDEPROPERTIES=235
+SESSION_USER=236
+SET=237
+SETMINUS=238
+SETS=239
+SHOW=240
+SKEWED=241
+SOME=242
+SORT=243
+SORTED=244
+SOURCE=245
+START=246
+STATISTICS=247
+STORED=248
+STRATIFY=249
+STRUCT=250
+SUBSTR=251
+SUBSTRING=252
+SYNC=253
+SYSTEM_TIME=254
+SYSTEM_VERSION=255
+TABLE=256
+TABLES=257
+TABLESAMPLE=258
+TARGET=259
+TBLPROPERTIES=260
+TEMPORARY=261
+TERMINATED=262
+THEN=263
+TIME=264
+TIMESTAMP=265
+TIMESTAMPADD=266
+TIMESTAMPDIFF=267
+TO=268
+TOUCH=269
+TRAILING=270
+TRANSACTION=271
+TRANSACTIONS=272
+TRANSFORM=273
+TRIM=274
+TRUE=275
+TRUNCATE=276
+TRY_CAST=277
+TYPE=278
+UNARCHIVE=279
+UNBOUNDED=280
+UNCACHE=281
+UNION=282
+UNIQUE=283
+UNKNOWN=284
+UNLOCK=285
+UNPIVOT=286
+UNSET=287
+UPDATE=288
+USE=289
+USER=290
+USING=291
+VALUES=292
+VERSION=293
+VIEW=294
+VIEWS=295
+WEEK=296
+WEEKS=297
+WHEN=298
+WHERE=299
+WINDOW=300
+WITH=301
+WITHIN=302
+YEAR=303
+YEARS=304
+ZONE=305
+EQ=306
+NSEQ=307
+NEQ=308
+NEQJ=309
+LT=310
+LTE=311
+GT=312
+GTE=313
+PLUS=314
+MINUS=315
+ASTERISK=316
+SLASH=317
+PERCENT=318
+TILDE=319
+AMPERSAND=320
+PIPE=321
+CONCAT_PIPE=322
+HAT=323
+COLON=324
+ARROW=325
+HENT_START=326
+HENT_END=327
+STRING=328
+DOUBLEQUOTED_STRING=329
+BIGINT_LITERAL=330
+SMALLINT_LITERAL=331
+TINYINT_LITERAL=332
+INTEGER_VALUE=333
+EXPONENT_VALUE=334
+DECIMAL_VALUE=335
+FLOAT_LITERAL=336
+DOUBLE_LITERAL=337
+BIGDECIMAL_LITERAL=338
+IDENTIFIER=339
+BACKQUOTED_IDENTIFIER=340
+SIMPLE_COMMENT=341
+BRACKETED_COMMENT=342
+WS=343
+UNRECOGNIZED=344
+';'=1
+'('=2
+')'=3
+','=4
+'.'=5
+'['=6
+']'=7
+'ADD'=8
+'AFTER'=9
+'ALL'=10
+'ALTER'=11
+'ANALYZE'=12
+'AND'=13
+'ANTI'=14
+'ANY'=15
+'ANY_VALUE'=16
+'ARCHIVE'=17
+'ARRAY'=18
+'AS'=19
+'ASC'=20
+'AT'=21
+'AUTHORIZATION'=22
+'BETWEEN'=23
+'BOTH'=24
+'BUCKET'=25
+'BUCKETS'=26
+'BY'=27
+'CACHE'=28
+'CASCADE'=29
+'CASE'=30
+'CAST'=31
+'CATALOG'=32
+'CATALOGS'=33
+'CHANGE'=34
+'CHECK'=35
+'CLEAR'=36
+'CLUSTER'=37
+'CLUSTERED'=38
+'CODEGEN'=39
+'COLLATE'=40
+'COLLECTION'=41
+'COLUMN'=42
+'COLUMNS'=43
+'COMMENT'=44
+'COMMIT'=45
+'COMPACT'=46
+'COMPACTIONS'=47
+'COMPUTE'=48
+'CONCATENATE'=49
+'CONSTRAINT'=50
+'COST'=51
+'CREATE'=52
+'CROSS'=53
+'CUBE'=54
+'CURRENT'=55
+'CURRENT_DATE'=56
+'CURRENT_TIME'=57
+'CURRENT_TIMESTAMP'=58
+'CURRENT_USER'=59
+'DAY'=60
+'DAYS'=61
+'DAYOFYEAR'=62
+'DATA'=63
+'DATABASE'=64
+'DATABASES'=65
+'DATEADD'=66
+'DATEDIFF'=67
+'DBPROPERTIES'=68
+'DEFAULT'=69
+'DEFINED'=70
+'DELETE'=71
+'DELIMITED'=72
+'DESC'=73
+'DESCRIBE'=74
+'DFS'=75
+'DIRECTORIES'=76
+'DIRECTORY'=77
+'DISTINCT'=78
+'DISTRIBUTE'=79
+'DIV'=80
+'DROP'=81
+'ELSE'=82
+'END'=83
+'ESCAPE'=84
+'ESCAPED'=85
+'EXCEPT'=86
+'EXCHANGE'=87
+'EXCLUDE'=88
+'EXISTS'=89
+'EXPLAIN'=90
+'EXPORT'=91
+'EXTENDED'=92
+'EXTERNAL'=93
+'EXTRACT'=94
+'FALSE'=95
+'FETCH'=96
+'FIELDS'=97
+'FILTER'=98
+'FILEFORMAT'=99
+'FIRST'=100
+'FOLLOWING'=101
+'FOR'=102
+'FOREIGN'=103
+'FORMAT'=104
+'FORMATTED'=105
+'FROM'=106
+'FULL'=107
+'FUNCTION'=108
+'FUNCTIONS'=109
+'GLOBAL'=110
+'GRANT'=111
+'GROUP'=112
+'GROUPING'=113
+'HAVING'=114
+'HOUR'=115
+'HOURS'=116
+'IF'=117
+'IGNORE'=118
+'IMPORT'=119
+'IN'=120
+'INCLUDE'=121
+'INDEX'=122
+'INDEXES'=123
+'INNER'=124
+'INPATH'=125
+'INPUTFORMAT'=126
+'INSERT'=127
+'INTERSECT'=128
+'INTERVAL'=129
+'INTO'=130
+'IS'=131
+'ITEMS'=132
+'JOIN'=133
+'KEYS'=134
+'LAST'=135
+'LATERAL'=136
+'LAZY'=137
+'LEADING'=138
+'LEFT'=139
+'LIKE'=140
+'ILIKE'=141
+'LIMIT'=142
+'LINES'=143
+'LIST'=144
+'LOAD'=145
+'LOCAL'=146
+'LOCATION'=147
+'LOCK'=148
+'LOCKS'=149
+'LOGICAL'=150
+'MACRO'=151
+'MAP'=152
+'MATCHED'=153
+'MERGE'=154
+'MICROSECOND'=155
+'MICROSECONDS'=156
+'MILLISECOND'=157
+'MILLISECONDS'=158
+'MINUTE'=159
+'MINUTES'=160
+'MONTH'=161
+'MONTHS'=162
+'MSCK'=163
+'NAMESPACE'=164
+'NAMESPACES'=165
+'NANOSECOND'=166
+'NANOSECONDS'=167
+'NATURAL'=168
+'NO'=169
+'NULL'=171
+'NULLS'=172
+'OF'=173
+'OFFSET'=174
+'ON'=175
+'ONLY'=176
+'OPTION'=177
+'OPTIONS'=178
+'OR'=179
+'ORDER'=180
+'OUT'=181
+'OUTER'=182
+'OUTPUTFORMAT'=183
+'OVER'=184
+'OVERLAPS'=185
+'OVERLAY'=186
+'OVERWRITE'=187
+'PARTITION'=188
+'PARTITIONED'=189
+'PARTITIONS'=190
+'PERCENTILE_CONT'=191
+'PERCENTILE_DISC'=192
+'PERCENT'=193
+'PIVOT'=194
+'PLACING'=195
+'POSITION'=196
+'PRECEDING'=197
+'PRIMARY'=198
+'PRINCIPALS'=199
+'PROPERTIES'=200
+'PURGE'=201
+'QUARTER'=202
+'QUERY'=203
+'RANGE'=204
+'RECORDREADER'=205
+'RECORDWRITER'=206
+'RECOVER'=207
+'REDUCE'=208
+'REFERENCES'=209
+'REFRESH'=210
+'RENAME'=211
+'REPAIR'=212
+'REPEATABLE'=213
+'REPLACE'=214
+'RESET'=215
+'RESPECT'=216
+'RESTRICT'=217
+'REVOKE'=218
+'RIGHT'=219
+'ROLE'=221
+'ROLES'=222
+'ROLLBACK'=223
+'ROLLUP'=224
+'ROW'=225
+'ROWS'=226
+'SECOND'=227
+'SECONDS'=228
+'SCHEMA'=229
+'SCHEMAS'=230
+'SELECT'=231
+'SEMI'=232
+'SEPARATED'=233
+'SERDE'=234
+'SERDEPROPERTIES'=235
+'SESSION_USER'=236
+'SET'=237
+'MINUS'=238
+'SETS'=239
+'SHOW'=240
+'SKEWED'=241
+'SOME'=242
+'SORT'=243
+'SORTED'=244
+'SOURCE'=245
+'START'=246
+'STATISTICS'=247
+'STORED'=248
+'STRATIFY'=249
+'STRUCT'=250
+'SUBSTR'=251
+'SUBSTRING'=252
+'SYNC'=253
+'SYSTEM_TIME'=254
+'SYSTEM_VERSION'=255
+'TABLE'=256
+'TABLES'=257
+'TABLESAMPLE'=258
+'TARGET'=259
+'TBLPROPERTIES'=260
+'TERMINATED'=262
+'THEN'=263
+'TIME'=264
+'TIMESTAMP'=265
+'TIMESTAMPADD'=266
+'TIMESTAMPDIFF'=267
+'TO'=268
+'TOUCH'=269
+'TRAILING'=270
+'TRANSACTION'=271
+'TRANSACTIONS'=272
+'TRANSFORM'=273
+'TRIM'=274
+'TRUE'=275
+'TRUNCATE'=276
+'TRY_CAST'=277
+'TYPE'=278
+'UNARCHIVE'=279
+'UNBOUNDED'=280
+'UNCACHE'=281
+'UNION'=282
+'UNIQUE'=283
+'UNKNOWN'=284
+'UNLOCK'=285
+'UNPIVOT'=286
+'UNSET'=287
+'UPDATE'=288
+'USE'=289
+'USER'=290
+'USING'=291
+'VALUES'=292
+'VERSION'=293
+'VIEW'=294
+'VIEWS'=295
+'WEEK'=296
+'WEEKS'=297
+'WHEN'=298
+'WHERE'=299
+'WINDOW'=300
+'WITH'=301
+'WITHIN'=302
+'YEAR'=303
+'YEARS'=304
+'ZONE'=305
+'<=>'=307
+'<>'=308
+'!='=309
+'<'=310
+'>'=312
+'+'=314
+'-'=315
+'*'=316
+'/'=317
+'%'=318
+'~'=319
+'&'=320
+'|'=321
+'||'=322
+'^'=323
+':'=324
+'->'=325
+'/*+'=326
+'*/'=327
diff --git a/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4 b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
similarity index 100%
rename from sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
rename to sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
index 3a074c666149a..c297a2e067a3d 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
@@ -16,10 +16,12 @@
  */
 package org.apache.spark.sql
 
+
 import java.util.concurrent.atomic.AtomicReference
 
 import scala.util.Try
 
+import org.apache.spark.sql.types.{AtomicType, TimestampType}
 import org.apache.spark.util.SparkClassUtils
 
 /**
@@ -36,6 +38,8 @@ private[sql] trait SqlApiConf {
   def exponentLiteralAsDecimalEnabled: Boolean
   def enforceReservedKeywords: Boolean
   def doubleQuotedIdentifiers: Boolean
+  def timestampType: AtomicType
+  def allowNegativeScaleOfDecimalEnabled: Boolean
 }
 
 private[sql] object SqlApiConf {
@@ -68,4 +72,6 @@ private[sql] object DefaultSqlApiConf extends SqlApiConf {
   override def exponentLiteralAsDecimalEnabled: Boolean = false
   override def enforceReservedKeywords: Boolean = false
   override def doubleQuotedIdentifiers: Boolean = false
+  override def timestampType: AtomicType = TimestampType
+  override def allowNegativeScaleOfDecimalEnabled: Boolean = false
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/SqlApiAnalysis.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/SqlApiAnalysis.scala
new file mode 100644
index 0000000000000..9f5a5b8875b33
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/SqlApiAnalysis.scala
@@ -0,0 +1,25 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.analysis
+
+object SqlApiAnalysis {
+  /**
+   * Resolver should return true if the first string refers to the same entity as the second string.
+   * For example, by using case insensitive equality.
+   */
+  type Resolver = (String, String) => Boolean
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
similarity index 96%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
index 84a8bc71b3fb0..f42137e2d3f6f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
@@ -23,14 +23,13 @@ import scala.collection.JavaConverters._
 import org.antlr.v4.runtime.Token
 import org.antlr.v4.runtime.tree.ParseTree
 
-import org.apache.spark.sql.catalyst.SQLConfHelper
-import org.apache.spark.sql.catalyst.parser.ParserUtils.{string, withOrigin}
+import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.parser.SqlBaseParser._
+import org.apache.spark.sql.catalyst.util.SparkParserUtils.{string, withOrigin}
 import org.apache.spark.sql.errors.QueryParsingErrors
-import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{ArrayType, BinaryType, BooleanType, ByteType, CalendarIntervalType, CharType, DataType, DateType, DayTimeIntervalType, DecimalType, DoubleType, FloatType, IntegerType, LongType, MapType, MetadataBuilder, NullType, ShortType, StringType, StructField, StructType, TimestampNTZType, TimestampType, VarcharType, YearMonthIntervalType}
 
-class DataTypeAstBuilder extends SqlBaseParserBaseVisitor[AnyRef] with SQLConfHelper {
+class DataTypeAstBuilder extends SqlBaseParserBaseVisitor[AnyRef] {
   protected def typedVisit[T](ctx: ParseTree): T = {
     ctx.accept(this).asInstanceOf[T]
   }
@@ -69,7 +68,7 @@ class DataTypeAstBuilder extends SqlBaseParserBaseVisitor[AnyRef] with SQLConfHe
       case (FLOAT | REAL, Nil) => FloatType
       case (DOUBLE, Nil) => DoubleType
       case (DATE, Nil) => DateType
-      case (TIMESTAMP, Nil) => SQLConf.get.timestampType
+      case (TIMESTAMP, Nil) => SqlApiConf.get.timestampType
       case (TIMESTAMP_NTZ, Nil) => TimestampNTZType
       case (TIMESTAMP_LTZ, Nil) => TimestampType
       case (STRING, Nil) => StringType
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeParserInterface.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeParserInterface.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeParserInterface.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeParserInterface.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala
similarity index 95%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala
index f36fcade382bf..8ac5939bca944 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/LegacyTypeStringParser.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.parser
 
 import scala.util.parsing.combinator.RegexParsers
 
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types._
 
 /**
@@ -88,6 +88,6 @@ object LegacyTypeStringParser extends RegexParsers {
   def parseString(asString: String): DataType = parseAll(dataType, asString) match {
     case Success(result, _) => result
     case failure: NoSuccess =>
-      throw QueryExecutionErrors.dataTypeUnsupportedError(asString, failure.toString)
+      throw DataTypeErrors.dataTypeUnsupportedError(asString, failure.toString)
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/SparkParserErrorStrategy.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/SparkParserErrorStrategy.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/SparkParserErrorStrategy.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/SparkParserErrorStrategy.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
index d4c1c1d9db6c5..ac285d54c1fe7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
@@ -27,6 +27,7 @@ import org.apache.spark.{QueryContext, SparkException, SparkThrowable, SparkThro
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin, WithOrigin}
+import org.apache.spark.sql.catalyst.util.SparkParserUtils
 import org.apache.spark.sql.errors.QueryParsingErrors
 import org.apache.spark.sql.types.{DataType, StructType}
 
@@ -197,10 +198,10 @@ class ParseException(
     queryContext) {
 
   def this(errorClass: String, messageParameters: Map[String, String], ctx: ParserRuleContext) =
-    this(Option(ParserUtils.command(ctx)),
+    this(Option(SparkParserUtils.command(ctx)),
       SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      ParserUtils.position(ctx.getStart),
-      ParserUtils.position(ctx.getStop),
+      SparkParserUtils.position(ctx.getStart),
+      SparkParserUtils.position(ctx.getStop),
       Some(errorClass),
       messageParameters)
 
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/AttributeNameParser.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/AttributeNameParser.scala
new file mode 100644
index 0000000000000..e47ab1978d0ed
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/AttributeNameParser.scala
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.util
+
+import org.apache.spark.sql.errors.DataTypeErrors
+
+trait AttributeNameParser {
+  /**
+   * Used to split attribute name by dot with backticks rule.
+   * Backticks must appear in pairs, and the quoted string must be a complete name part,
+   * which means `ab..c`e.f is not allowed.
+   * We can use backtick only inside quoted name parts.
+   */
+  def parseAttributeName(name: String): Seq[String] = {
+    def e = DataTypeErrors.attributeNameSyntaxError(name)
+    val nameParts = scala.collection.mutable.ArrayBuffer.empty[String]
+    val tmp = scala.collection.mutable.ArrayBuffer.empty[Char]
+    var inBacktick = false
+    var i = 0
+    while (i < name.length) {
+      val char = name(i)
+      if (inBacktick) {
+        if (char == '`') {
+          if (i + 1 < name.length && name(i + 1) == '`') {
+            tmp += '`'
+            i += 1
+          } else {
+            inBacktick = false
+            if (i + 1 < name.length && name(i + 1) != '.') throw e
+          }
+        } else {
+          tmp += char
+        }
+      } else {
+        if (char == '`') {
+          if (tmp.nonEmpty) throw e
+          inBacktick = true
+        } else if (char == '.') {
+          if (name(i - 1) == '.' || i == name.length - 1) throw e
+          nameParts += tmp.mkString
+          tmp.clear()
+        } else {
+          tmp += char
+        }
+      }
+      i += 1
+    }
+    if (inBacktick) throw e
+    nameParts += tmp.mkString
+    nameParts.toSeq
+  }
+}
+
+object AttributeNameParser extends AttributeNameParser
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DataTypeJsonUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DataTypeJsonUtils.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DataTypeJsonUtils.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DataTypeJsonUtils.scala
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
index 7d5b6946244be..62015fe206a30 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
@@ -28,4 +28,23 @@ object QuotingUtils {
   def toSQLSchema(schema: String): String = {
     quoteByDefault(schema)
   }
+
+  def quoteIfNeeded(part: String): String = {
+    if (part.matches("[a-zA-Z0-9_]+") && !part.matches("\\d+")) {
+      part
+    } else {
+      s"`${part.replace("`", "``")}`"
+    }
+  }
+
+  def escapeSingleQuotedString(str: String): String = {
+    val builder = new StringBuilder
+
+    str.foreach {
+      case '\'' => builder ++= s"\\\'"
+      case ch => builder += ch
+    }
+
+    builder.toString()
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtils.scala
new file mode 100644
index 0000000000000..4314f85740461
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtils.scala
@@ -0,0 +1,46 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.util
+
+trait ResolveDefaultColumnsUtils {
+  // This column metadata indicates the default value associated with a particular table column that
+  // is in effect at any given time. Its value begins at the time of the initial CREATE/REPLACE
+  // TABLE statement with DEFAULT column definition(s), if any. It then changes whenever an ALTER
+  // TABLE statement SETs the DEFAULT. The intent is for this "current default" to be used by
+  // UPDATE, INSERT and MERGE, which evaluate each default expression for each row.
+  val CURRENT_DEFAULT_COLUMN_METADATA_KEY = "CURRENT_DEFAULT"
+
+  // This column metadata represents the default value for all existing rows in a table after a
+  // column has been added. This value is determined at time of CREATE TABLE, REPLACE TABLE, or
+  // ALTER TABLE ADD COLUMN, and never changes thereafter. The intent is for this "exist default" to
+  // be used by any scan when the columns in the source row are missing data. For example, consider
+  // the following sequence:
+  // CREATE TABLE t (c1 INT)
+  // INSERT INTO t VALUES (42)
+  // ALTER TABLE t ADD COLUMNS (c2 INT DEFAULT 43)
+  // SELECT c1, c2 FROM t
+  // In this case, the final query is expected to return 42, 43. The ALTER TABLE ADD COLUMNS command
+  // executed after there was already data in the table, so in order to enforce this invariant, we
+  // need either (1) an expensive backfill of value 43 at column c2 into all previous rows, or (2)
+  // indicate to each data source that selected columns missing data are to generate the
+  // corresponding DEFAULT value instead. We choose option (2) for efficiency, and represent this
+  // value as the text representation of a folded constant in the "EXISTS_DEFAULT" column metadata.
+  val EXISTS_DEFAULT_COLUMN_METADATA_KEY = "EXISTS_DEFAULT"
+}
+
+object ResolveDefaultColumnsUtils extends ResolveDefaultColumnsUtils
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkParserUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkParserUtils.scala
new file mode 100644
index 0000000000000..c318f208255f1
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkParserUtils.scala
@@ -0,0 +1,156 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.util
+
+import java.lang.{Long => JLong}
+import java.nio.CharBuffer
+
+import org.antlr.v4.runtime.{ParserRuleContext, Token}
+import org.antlr.v4.runtime.misc.Interval
+import org.antlr.v4.runtime.tree.TerminalNode
+
+import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin}
+
+trait SparkParserUtils {
+  val U16_CHAR_PATTERN = """\\u([a-fA-F0-9]{4})(?s).*""".r
+  val U32_CHAR_PATTERN = """\\U([a-fA-F0-9]{8})(?s).*""".r
+  val OCTAL_CHAR_PATTERN = """\\([01][0-7]{2})(?s).*""".r
+  val ESCAPED_CHAR_PATTERN = """\\((?s).)(?s).*""".r
+
+  /** Unescape backslash-escaped string enclosed by quotes. */
+  def unescapeSQLString(b: String): String = {
+    val sb = new StringBuilder(b.length())
+
+    def appendEscapedChar(n: Char): Unit = {
+      n match {
+        case '0' => sb.append('\u0000')
+        case '\'' => sb.append('\'')
+        case '"' => sb.append('\"')
+        case 'b' => sb.append('\b')
+        case 'n' => sb.append('\n')
+        case 'r' => sb.append('\r')
+        case 't' => sb.append('\t')
+        case 'Z' => sb.append('\u001A')
+        case '\\' => sb.append('\\')
+        // The following 2 lines are exactly what MySQL does TODO: why do we do this?
+        case '%' => sb.append("\\%")
+        case '_' => sb.append("\\_")
+        case _ => sb.append(n)
+      }
+    }
+
+    if (b.startsWith("r") || b.startsWith("R")) {
+      b.substring(2, b.length - 1)
+    } else {
+      // Skip the first and last quotations enclosing the string literal.
+      val charBuffer = CharBuffer.wrap(b, 1, b.length - 1)
+
+      while (charBuffer.remaining() > 0) {
+        charBuffer match {
+          case U16_CHAR_PATTERN(cp) =>
+            // \u0000 style 16-bit unicode character literals.
+            sb.append(Integer.parseInt(cp, 16).toChar)
+            charBuffer.position(charBuffer.position() + 6)
+          case U32_CHAR_PATTERN(cp) =>
+            // \U00000000 style 32-bit unicode character literals.
+            // Use Long to treat codePoint as unsigned in the range of 32-bit.
+            val codePoint = JLong.parseLong(cp, 16)
+            if (codePoint < 0x10000) {
+              sb.append((codePoint & 0xFFFF).toChar)
+            } else {
+              val highSurrogate = (codePoint - 0x10000) / 0x400 + 0xD800
+              val lowSurrogate = (codePoint - 0x10000) % 0x400 + 0xDC00
+              sb.append(highSurrogate.toChar)
+              sb.append(lowSurrogate.toChar)
+            }
+            charBuffer.position(charBuffer.position() + 10)
+          case OCTAL_CHAR_PATTERN(cp) =>
+            // \000 style character literals.
+            sb.append(Integer.parseInt(cp, 8).toChar)
+            charBuffer.position(charBuffer.position() + 4)
+          case ESCAPED_CHAR_PATTERN(c) =>
+            // escaped character literals.
+            appendEscapedChar(c.charAt(0))
+            charBuffer.position(charBuffer.position() + 2)
+          case _ =>
+            // non-escaped character literals.
+            sb.append(charBuffer.get())
+        }
+      }
+      sb.toString()
+    }
+  }
+
+  /** Convert a string token into a string. */
+  def string(token: Token): String = unescapeSQLString(token.getText)
+
+  /** Convert a string node into a string. */
+  def string(node: TerminalNode): String = unescapeSQLString(node.getText)
+
+  /** Get the origin (line and position) of the token. */
+  def position(token: Token): Origin = {
+    val opt = Option(token)
+    Origin(opt.map(_.getLine), opt.map(_.getCharPositionInLine))
+  }
+
+  /**
+   * Register the origin of the context. Any TreeNode created in the closure will be assigned the
+   * registered origin. This method restores the previously set origin after completion of the
+   * closure.
+   */
+  def withOrigin[T](ctx: ParserRuleContext, sqlText: Option[String] = None)(f: => T): T = {
+    val current = CurrentOrigin.get
+    val text = sqlText.orElse(current.sqlText)
+    if (text.isEmpty) {
+      CurrentOrigin.set(position(ctx.getStart))
+    } else {
+      CurrentOrigin.set(positionAndText(ctx.getStart, ctx.getStop, text.get,
+        current.objectType, current.objectName))
+    }
+    try {
+      f
+    } finally {
+      CurrentOrigin.set(current)
+    }
+  }
+
+  def positionAndText(
+      startToken: Token,
+      stopToken: Token,
+      sqlText: String,
+      objectType: Option[String],
+      objectName: Option[String]): Origin = {
+    val startOpt = Option(startToken)
+    val stopOpt = Option(stopToken)
+    Origin(
+      line = startOpt.map(_.getLine),
+      startPosition = startOpt.map(_.getCharPositionInLine),
+      startIndex = startOpt.map(_.getStartIndex),
+      stopIndex = stopOpt.map(_.getStopIndex),
+      sqlText = Some(sqlText),
+      objectType = objectType,
+      objectName = objectName)
+  }
+
+  /** Get the command which created the token. */
+  def command(ctx: ParserRuleContext): String = {
+    val stream = ctx.getStart.getInputStream
+    stream.getText(Interval.of(0, stream.size() - 1))
+  }
+}
+
+object SparkParserUtils extends SparkParserUtils
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
index f39b5b13456ad..69156e1165877 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
@@ -16,8 +16,10 @@
  */
 package org.apache.spark.sql.errors
 
-import org.apache.spark.{SparkArithmeticException, SparkException, SparkRuntimeException, SparkUnsupportedOperationException}
+import org.apache.spark.{SparkArithmeticException, SparkException, SparkIllegalArgumentException, SparkNumberFormatException, SparkRuntimeException, SparkUnsupportedOperationException}
+import org.apache.spark.sql.catalyst.trees.{Origin, SQLQueryContext}
 import org.apache.spark.sql.catalyst.util.QuotingUtils
+import org.apache.spark.sql.types.{DataType, Decimal, StringType}
 import org.apache.spark.unsafe.types.UTF8String
 
 /**
@@ -146,4 +148,123 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
       s" Set the config ${sqlConf}" +
       " to \"true\" to allow it.")
   }
+
+  def attributeNameSyntaxError(name: String): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_1049",
+      messageParameters = Map("name" -> name),
+      cause = null)
+  }
+
+  def cannotMergeIncompatibleDataTypesError(left: DataType, right: DataType): Throwable = {
+    new SparkException(
+      errorClass = "CANNOT_MERGE_INCOMPATIBLE_DATA_TYPE",
+      messageParameters = Map(
+        "left" -> toSQLType(left),
+        "right" -> toSQLType(right)),
+      cause = null)
+  }
+
+  def cannotMergeDecimalTypesWithIncompatibleScaleError(
+      leftScale: Int, rightScale: Int): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_2124",
+      messageParameters = Map(
+        "leftScale" -> leftScale.toString(),
+        "rightScale" -> rightScale.toString()),
+      cause = null)
+  }
+
+  def dataTypeUnsupportedError(dataType: String, failure: String): Throwable = {
+    new SparkIllegalArgumentException(
+      errorClass = "UNSUPPORTED_DATATYPE",
+      messageParameters = Map("typeName" -> (dataType + failure)))
+  }
+
+  def invalidFieldName(fieldName: Seq[String], path: Seq[String], context: Origin): Throwable = {
+    new SparkException(
+      errorClass = "INVALID_FIELD_NAME",
+      messageParameters = Map(
+        "fieldName" -> toSQLId(fieldName),
+        "path" -> toSQLId(path)),
+      cause = null,
+      context = context.getQueryContext)
+  }
+
+  def unscaledValueTooLargeForPrecisionError(
+      value: Decimal,
+      decimalPrecision: Int,
+      decimalScale: Int,
+      context: SQLQueryContext = null): ArithmeticException = {
+    new SparkArithmeticException(
+      errorClass = "NUMERIC_VALUE_OUT_OF_RANGE",
+      messageParameters = Map(
+        "value" -> value.toPlainString,
+        "precision" -> decimalPrecision.toString,
+        "scale" -> decimalScale.toString,
+        "config" -> toSQLConf("spark.sql.ansi.enabled")),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def cannotChangeDecimalPrecisionError(
+      value: Decimal,
+      decimalPrecision: Int,
+      decimalScale: Int,
+      context: SQLQueryContext = null): ArithmeticException = {
+    new SparkArithmeticException(
+      errorClass = "NUMERIC_VALUE_OUT_OF_RANGE",
+      messageParameters = Map(
+        "value" -> value.toPlainString,
+        "precision" -> decimalPrecision.toString,
+        "scale" -> decimalScale.toString,
+        "config" -> toSQLConf("spark.sql.ansi.enabled")),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def invalidInputInCastToNumberError(
+      to: DataType,
+      s: UTF8String,
+      context: SQLQueryContext): SparkNumberFormatException = {
+    val convertedValueStr = "'" + s.toString.replace("\\", "\\\\").replace("'", "\\'") + "'"
+    new SparkNumberFormatException(
+      errorClass = "CAST_INVALID_INPUT",
+      messageParameters = Map(
+        "expression" -> convertedValueStr,
+        "sourceType" -> toSQLType(StringType),
+        "targetType" -> toSQLType(to),
+        "ansiConfig" -> toSQLConf("spark.sql.ansi.enabled")),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def ambiguousColumnOrFieldError(
+      name: Seq[String], numMatches: Int, context: Origin): Throwable = {
+    new SparkException(
+      errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
+      messageParameters = Map(
+        "name" -> toSQLId(name),
+        "n" -> numMatches.toString),
+      cause = null,
+      context = context.getQueryContext)
+  }
+
+  def castingCauseOverflowError(t: String, from: DataType, to: DataType): ArithmeticException = {
+    new SparkArithmeticException(
+      errorClass = "CAST_OVERFLOW",
+      messageParameters = Map(
+        "value" -> t,
+        "sourceType" -> toSQLType(from),
+        "targetType" -> toSQLType(to),
+        "ansiConfig" -> toSQLConf("spark.sql.ansi.enabled")),
+      context = Array.empty,
+      summary = "")
+  }
+
+  def failedParsingStructTypeError(raw: String): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "FAILED_PARSE_STRUCT_TYPE",
+      messageParameters = Map("raw" -> s"'$raw'"))
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
index dc95e76a820bb..4a8847959c289 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
@@ -16,9 +16,18 @@
  */
 package org.apache.spark.sql.errors
 
-import org.apache.spark.sql.catalyst.util.SparkStringUtils
+import java.util.Locale
+
+import org.apache.spark.QueryContext
+import org.apache.spark.sql.catalyst.trees.SQLQueryContext
+import org.apache.spark.sql.catalyst.util.{AttributeNameParser, QuotingUtils, SparkStringUtils}
+import org.apache.spark.sql.types.{AbstractDataType, DataType, TypeCollection}
 
 private[sql] trait DataTypeErrorsBase {
+  def toSQLId(parts: String): String = {
+    toSQLId(AttributeNameParser.parseAttributeName(parts))
+  }
+
   def toSQLId(parts: Seq[String]): String = {
     val cleaned = parts match {
       case Seq("__auto_generated_subquery_name", rest @ _*) if rest != Nil => rest
@@ -26,4 +35,42 @@ private[sql] trait DataTypeErrorsBase {
     }
     cleaned.map(SparkStringUtils.quoteIdentifier).mkString(".")
   }
+
+  def toSQLStmt(text: String): String = {
+    text.toUpperCase(Locale.ROOT)
+  }
+
+  def toSQLConf(conf: String): String = {
+    QuotingUtils.toSQLConf(conf)
+  }
+
+  def toSQLType(text: String): String = {
+    quoteByDefault(text.toUpperCase(Locale.ROOT))
+  }
+
+  def toSQLType(t: AbstractDataType): String = t match {
+    case TypeCollection(types) => types.map(toSQLType).mkString("(", " or ", ")")
+    case dt: DataType => quoteByDefault(dt.sql)
+    case at => quoteByDefault(at.simpleString.toUpperCase(Locale.ROOT))
+  }
+
+  def dataTypeToSQLValue(value: String): String = {
+    if (value == null) {
+      "NULL"
+    } else {
+      "'" + value.replace("\\", "\\\\").replace("'", "\\'") + "'"
+    }
+  }
+
+  protected def quoteByDefault(elem: String): String = {
+    "\"" + elem + "\""
+  }
+
+    def getSummary(sqlContext: SQLQueryContext): String = {
+    if (sqlContext == null) "" else sqlContext.summary
+  }
+
+  def getQueryContext(sqlContext: SQLQueryContext): Array[QueryContext] = {
+    if (sqlContext == null) Array.empty else Array(sqlContext.asInstanceOf[QueryContext])
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
index ced27626be777..2bd385787dd6f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
@@ -25,13 +25,12 @@ import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.parser.SqlBaseParser._
 import org.apache.spark.sql.catalyst.trees.Origin
-import org.apache.spark.sql.types.StringType
 
 /**
  * Object for grouping all error messages of the query parsing.
  * Currently it includes all ParseException.
  */
-private[sql] object QueryParsingErrors extends QueryErrorsBase {
+private[sql] object QueryParsingErrors extends DataTypeErrorsBase {
 
   def invalidInsertIntoError(ctx: InsertIntoContext): Throwable = {
     new ParseException(errorClass = "_LEGACY_ERROR_TEMP_0001", ctx)
@@ -185,7 +184,7 @@ private[sql] object QueryParsingErrors extends QueryErrorsBase {
   def invalidEscapeStringError(invalidEscape: String, ctx: PredicateContext): Throwable = {
     new ParseException(
       errorClass = "INVALID_ESC",
-      messageParameters = Map("invalidEscape" -> toSQLValue(invalidEscape, StringType)),
+      messageParameters = Map("invalidEscape" -> dataTypeToSQLValue(invalidEscape)),
       ctx)
   }
 
@@ -209,7 +208,7 @@ private[sql] object QueryParsingErrors extends QueryErrorsBase {
       errorClass = "INVALID_TYPED_LITERAL",
       messageParameters = Map(
         "valueType" -> toSQLType(valueType),
-        "value" -> toSQLValue(value, StringType)
+        "value" -> dataTypeToSQLValue(value)
       ),
       ctx)
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/ArrayType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/ArrayType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/ArrayType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/ArrayType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/BinaryType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/BinaryType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/BinaryType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/BinaryType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/BooleanType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/BooleanType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/BooleanType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/BooleanType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/ByteType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/ByteType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/ByteType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/ByteType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/CalendarIntervalType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/CalendarIntervalType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/CalendarIntervalType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/CalendarIntervalType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/CharType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/CharType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/CharType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/CharType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
index c9346b9bc1431..632091a9a8c07 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
@@ -30,14 +30,14 @@ import org.json4s.jackson.JsonMethods._
 import org.apache.spark.SparkThrowable
 import org.apache.spark.annotation.Stable
 import org.apache.spark.sql.SqlApiConf
-import org.apache.spark.sql.catalyst.analysis.Resolver
+import org.apache.spark.sql.catalyst.analysis.SqlApiAnalysis
 import org.apache.spark.sql.catalyst.parser.DataTypeParser
 import org.apache.spark.sql.catalyst.util.DataTypeJsonUtils.{DataTypeJsonDeserializer, DataTypeJsonSerializer}
 import org.apache.spark.sql.catalyst.util.StringConcat
 import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types.DayTimeIntervalType._
 import org.apache.spark.sql.types.YearMonthIntervalType._
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * The base type of all Spark SQL data types.
@@ -230,7 +230,7 @@ object DataType {
     ("pyClass", _),
     ("sqlType", _),
     ("type", JString("udt"))) =>
-      Utils.classForName[UserDefinedType[_]](udtClass).getConstructor().newInstance()
+      SparkClassUtils.classForName[UserDefinedType[_]](udtClass).getConstructor().newInstance()
 
     // Python UDT
     case JSortedObject(
@@ -381,7 +381,7 @@ object DataType {
   def equalsStructurallyByName(
       from: DataType,
       to: DataType,
-      resolver: Resolver): Boolean = {
+      resolver: SqlApiAnalysis.Resolver): Boolean = {
     (from, to) match {
       case (left: ArrayType, right: ArrayType) =>
         equalsStructurallyByName(left.elementType, right.elementType, resolver)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DateType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DateType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/DateType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/DateType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
similarity index 96%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
index f1529285294e2..40186dab822f1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
@@ -22,10 +22,9 @@ import java.math.{BigDecimal => JavaBigDecimal, BigInteger, MathContext, Roundin
 import scala.util.Try
 
 import org.apache.spark.annotation.Unstable
+import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.errors.DataTypeErrors
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.unsafe.types.UTF8String
 
 /**
@@ -83,7 +82,7 @@ final class Decimal extends Ordered[Decimal] with Serializable {
    */
   def set(unscaled: Long, precision: Int, scale: Int): Decimal = {
     if (setOrNull(unscaled, precision, scale) == null) {
-      throw QueryExecutionErrors.unscaledValueTooLargeForPrecisionError(this, precision, scale)
+      throw DataTypeErrors.unscaledValueTooLargeForPrecisionError(this, precision, scale)
     }
     this
   }
@@ -143,7 +142,7 @@ final class Decimal extends Ordered[Decimal] with Serializable {
       // the scale is 2. The expected precision should be 2.
       this._precision = decimal.scale
       this._scale = decimal.scale
-    } else if (decimal.scale < 0 && !SQLConf.get.allowNegativeScaleOfDecimalEnabled) {
+    } else if (decimal.scale < 0 && !SqlApiConf.get.allowNegativeScaleOfDecimalEnabled) {
       this._precision = decimal.precision - decimal.scale
       this._scale = 0
       // set scale to 0 to correct unscaled value
@@ -278,6 +277,8 @@ final class Decimal extends Ordered[Decimal] with Serializable {
   private[sql] def roundToInt(): Int =
     roundToNumeric[Int](IntegerType, Int.MaxValue, Int.MinValue) (_.toInt) (_.toInt)
 
+  private def toSqlValue: String = this + "BD"
+
   private def roundToNumeric[T <: AnyVal](integralType: IntegralType, maxValue: Int, minValue: Int)
       (f1: Long => T) (f2: Double => T): T = {
     if (decimalVal.eq(null)) {
@@ -285,16 +286,16 @@ final class Decimal extends Ordered[Decimal] with Serializable {
       if (actualLongVal == numericVal) {
         numericVal
       } else {
-        throw QueryExecutionErrors.castingCauseOverflowError(
-          this, DecimalType(this.precision, this.scale), integralType)
+        throw DataTypeErrors.castingCauseOverflowError(
+          toSqlValue, DecimalType(this.precision, this.scale), integralType)
       }
     } else {
       val doubleVal = decimalVal.toDouble
       if (Math.floor(doubleVal) <= maxValue && Math.ceil(doubleVal) >= minValue) {
         f2(doubleVal)
       } else {
-        throw QueryExecutionErrors.castingCauseOverflowError(
-          this, DecimalType(this.precision, this.scale), integralType)
+        throw DataTypeErrors.castingCauseOverflowError(
+          toSqlValue, DecimalType(this.precision, this.scale), integralType)
       }
     }
   }
@@ -314,8 +315,8 @@ final class Decimal extends Ordered[Decimal] with Serializable {
         decimalVal.bigDecimal.toBigInteger.longValueExact()
       } catch {
         case _: ArithmeticException =>
-          throw QueryExecutionErrors.castingCauseOverflowError(
-            this, DecimalType(this.precision, this.scale), LongType)
+          throw DataTypeErrors.castingCauseOverflowError(
+            toSqlValue, DecimalType(this.precision, this.scale), LongType)
       }
     }
   }
@@ -348,7 +349,7 @@ final class Decimal extends Ordered[Decimal] with Serializable {
       if (nullOnOverflow) {
         null
       } else {
-        throw QueryExecutionErrors.cannotChangeDecimalPrecisionError(
+        throw DataTypeErrors.cannotChangeDecimalPrecisionError(
           this, precision, scale, context)
       }
     }
@@ -602,7 +603,7 @@ object Decimal {
       // We fast fail because constructing a very large JavaBigDecimal to Decimal is very slow.
       // For example: Decimal("6.0790316E+25569151")
       if (numDigitsInIntegralPart(bigDecimal) > DecimalType.MAX_PRECISION &&
-          !SQLConf.get.allowNegativeScaleOfDecimalEnabled) {
+          !SqlApiConf.get.allowNegativeScaleOfDecimalEnabled) {
         null
       } else {
         Decimal(bigDecimal)
@@ -622,14 +623,14 @@ object Decimal {
       // We fast fail because constructing a very large JavaBigDecimal to Decimal is very slow.
       // For example: Decimal("6.0790316E+25569151")
       if (numDigitsInIntegralPart(bigDecimal) > DecimalType.MAX_PRECISION &&
-          !SQLConf.get.allowNegativeScaleOfDecimalEnabled) {
+          !SqlApiConf.get.allowNegativeScaleOfDecimalEnabled) {
         throw DataTypeErrors.outOfDecimalTypeRangeError(str)
       } else {
         Decimal(bigDecimal)
       }
     } catch {
       case _: NumberFormatException =>
-        throw QueryExecutionErrors.invalidInputInCastToNumberError(to, str, context)
+        throw DataTypeErrors.invalidInputInCastToNumberError(to, str, context)
     }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
index e460746239201..bc06888e4cf45 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
@@ -22,8 +22,8 @@ import java.util.Locale
 import scala.annotation.tailrec
 
 import org.apache.spark.annotation.Stable
+import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.errors.DataTypeErrors
-import org.apache.spark.sql.internal.SQLConf
 
 /**
  * The data type representing `java.math.BigDecimal` values.
@@ -147,7 +147,7 @@ object DecimalType extends AbstractDataType {
   }
 
   private[sql] def checkNegativeScale(scale: Int): Unit = {
-    if (scale < 0 && !SQLConf.get.allowNegativeScaleOfDecimalEnabled) {
+    if (scale < 0 && !SqlApiConf.get.allowNegativeScaleOfDecimalEnabled) {
       throw DataTypeErrors.negativeScaleNotAllowedError(scale)
     }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DoubleType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DoubleType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/DoubleType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/DoubleType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/FloatType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/FloatType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/FloatType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/FloatType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/IntegerType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/IntegerType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/IntegerType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/IntegerType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/LongType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/LongType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/LongType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/LongType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/MapType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/MapType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/MapType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/MapType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Metadata.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/Metadata.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/Metadata.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/Metadata.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/NullType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/NullType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/NullType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/NullType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/ObjectType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/ObjectType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/ObjectType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/ObjectType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/ShortType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/ShortType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/ShortType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/ShortType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StringType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/StringType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/StringType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/StringType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructField.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/StructField.scala
similarity index 91%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructField.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/StructField.scala
index dd267ed763e70..ca15d23b601ec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructField.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/StructField.scala
@@ -21,9 +21,8 @@ import org.json4s.JsonAST.JValue
 import org.json4s.JsonDSL._
 
 import org.apache.spark.annotation.Stable
-import org.apache.spark.sql.catalyst.util.{escapeSingleQuotedString, quoteIfNeeded}
-import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
-import org.apache.spark.sql.catalyst.util.StringConcat
+import org.apache.spark.sql.catalyst.util.{QuotingUtils, StringConcat}
+import org.apache.spark.sql.catalyst.util.ResolveDefaultColumnsUtils.{CURRENT_DEFAULT_COLUMN_METADATA_KEY, EXISTS_DEFAULT_COLUMN_METADATA_KEY}
 import org.apache.spark.util.SparkSchemaUtils
 
 /**
@@ -145,7 +144,7 @@ case class StructField(
     .getOrElse("")
 
   private def getDDLComment = getComment()
-    .map(escapeSingleQuotedString)
+    .map(QuotingUtils.escapeSingleQuotedString)
     .map(" COMMENT '" + _ + "'")
     .getOrElse("")
 
@@ -153,7 +152,7 @@ case class StructField(
    * Returns a string containing a schema in SQL format. For example the following value:
    * `StructField("eventId", IntegerType)` will be converted to `eventId`: INT.
    */
-  private[sql] def sql = s"${quoteIfNeeded(name)}: ${dataType.sql}$getDDLComment"
+  private[sql] def sql = s"${QuotingUtils.quoteIfNeeded(name)}: ${dataType.sql}$getDDLComment"
 
   /**
    * Returns a string containing a schema in DDL format. For example, the following value:
@@ -163,6 +162,6 @@ case class StructField(
    */
   def toDDL: String = {
     val nullString = if (nullable) "" else " NOT NULL"
-    s"${quoteIfNeeded(name)} ${dataType.sql}${nullString}$getDDLDefault$getDDLComment"
+    s"${QuotingUtils.quoteIfNeeded(name)} ${dataType.sql}${nullString}$getDDLDefault$getDDLComment"
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
similarity index 94%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
index df903c57887fa..9eabc6a70bc8e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
@@ -25,13 +25,11 @@ import org.json4s.JsonDSL._
 
 import org.apache.spark.annotation.Stable
 import org.apache.spark.sql.SqlApiConf
-import org.apache.spark.sql.catalyst.analysis.Resolver
-import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.catalyst.analysis.SqlApiAnalysis
 import org.apache.spark.sql.catalyst.parser.{DataTypeParser, LegacyTypeStringParser}
 import org.apache.spark.sql.catalyst.trees.Origin
-import org.apache.spark.sql.catalyst.util.{SparkStringUtils, StringConcat}
-import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
-import org.apache.spark.util.collection.Utils
+import org.apache.spark.sql.catalyst.util.{SparkCollectionUtils, SparkStringUtils, StringConcat}
+import org.apache.spark.sql.errors.DataTypeErrors
 
 /**
  * A [[StructType]] object can be constructed by
@@ -116,7 +114,7 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
 
   private lazy val fieldNamesSet: Set[String] = fieldNames.toSet
   private lazy val nameToField: Map[String, StructField] = fields.map(f => f.name -> f).toMap
-  private lazy val nameToIndex: Map[String, Int] = Utils.toMapWithIndex(fieldNames)
+  private lazy val nameToIndex: Map[String, Int] = SparkCollectionUtils.toMapWithIndex(fieldNames)
 
   override def equals(that: Any): Boolean = {
     that match {
@@ -322,7 +320,7 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
   private[sql] def findNestedField(
       fieldNames: Seq[String],
       includeCollections: Boolean = false,
-      resolver: Resolver = _ == _,
+      resolver: SqlApiAnalysis.Resolver = _ == _,
       context: Origin = Origin()): Option[(Seq[String], StructField)] = {
 
     def findFieldInStruct(
@@ -333,7 +331,7 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
       val searchName = searchPath.head
       val found = struct.fields.filter(f => resolver(searchName, f.name))
       if (found.length > 1) {
-        throw QueryCompilationErrors.ambiguousColumnOrFieldError(fieldNames, found.length, context)
+        throw DataTypeErrors.ambiguousColumnOrFieldError(fieldNames, found.length, context)
       } else if (found.isEmpty) {
         None
       } else {
@@ -358,7 +356,7 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
             findFieldInStruct(s, searchPath, currentPath)
 
           case _ if !includeCollections =>
-            throw QueryCompilationErrors.invalidFieldName(fieldNames, currentPath, context)
+            throw DataTypeErrors.invalidFieldName(fieldNames, currentPath, context)
 
           case (Seq("key", rest @ _*), MapType(keyType, _, _)) =>
             findField(StructField("key", keyType, nullable = false), rest, currentPath)
@@ -370,7 +368,7 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
             findField(StructField("element", elementType, isNullable), rest, currentPath)
 
           case _ =>
-            throw QueryCompilationErrors.invalidFieldName(fieldNames, currentPath, context)
+            throw DataTypeErrors.invalidFieldName(fieldNames, currentPath, context)
         }
       }
     }
@@ -512,7 +510,7 @@ object StructType extends AbstractDataType {
   private[sql] def fromString(raw: String): StructType = {
     Try(DataType.fromJson(raw)).getOrElse(LegacyTypeStringParser.parseString(raw)) match {
       case t: StructType => t
-      case _ => throw QueryExecutionErrors.failedParsingStructTypeError(raw)
+      case _ => throw DataTypeErrors.failedParsingStructTypeError(raw)
     }
   }
 
@@ -531,9 +529,6 @@ object StructType extends AbstractDataType {
     StructType(fields.asScala.toArray)
   }
 
-  private[sql] def fromAttributes(attributes: Seq[Attribute]): StructType =
-    StructType(attributes.map(a => StructField(a.name, a.dataType, a.nullable, a.metadata)))
-
   private[sql] def removeMetadata(key: String, dt: DataType): DataType =
     dt match {
       case StructType(fields) =>
@@ -583,7 +578,7 @@ object StructType extends AbstractDataType {
                   nullable = leftNullable || rightNullable)
               } catch {
                 case NonFatal(e) =>
-                  throw QueryExecutionErrors.cannotMergeIncompatibleDataTypesError(
+                  throw DataTypeErrors.cannotMergeIncompatibleDataTypesError(
                     leftType, rightType)
               }
             }
@@ -628,7 +623,7 @@ object StructType extends AbstractDataType {
         if (leftScale == rightScale) {
           DecimalType(leftPrecision.max(rightPrecision), leftScale)
         } else {
-          throw QueryExecutionErrors.cannotMergeDecimalTypesWithIncompatibleScaleError(
+          throw DataTypeErrors.cannotMergeDecimalTypesWithIncompatibleScaleError(
             leftScale, rightScale)
         }
 
@@ -645,7 +640,7 @@ object StructType extends AbstractDataType {
         leftType
 
       case _ =>
-        throw QueryExecutionErrors.cannotMergeIncompatibleDataTypesError(left, right)
+        throw DataTypeErrors.cannotMergeIncompatibleDataTypesError(left, right)
     }
 
   private[sql] def fieldsMap(fields: Array[StructField]): Map[String, StructField] = {
@@ -663,7 +658,7 @@ object StructType extends AbstractDataType {
   def findMissingFields(
       source: StructType,
       target: StructType,
-      resolver: Resolver): Option[StructType] = {
+      resolver: SqlApiAnalysis.Resolver): Option[StructType] = {
     def bothStructType(dt1: DataType, dt2: DataType): Boolean =
       dt1.isInstanceOf[StructType] && dt2.isInstanceOf[StructType]
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/TimestampNTZType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/TimestampNTZType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/TimestampNTZType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/TimestampNTZType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/TimestampType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/TimestampType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/TimestampType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/TimestampType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala
similarity index 95%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala
index 293687a4d61db..42c8c783e54c7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/UDTRegistration.scala
@@ -22,7 +22,7 @@ import scala.collection.mutable
 import org.apache.spark.annotation.{DeveloperApi, Since}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.errors.DataTypeErrors
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * This object keeps the mappings between user classes and their User Defined Types (UDTs).
@@ -73,8 +73,8 @@ object UDTRegistration extends Serializable with Logging {
    */
   def getUDTFor(userClass: String): Option[Class[_]] = {
     udtMap.get(userClass).map { udtClassName =>
-      if (Utils.classIsLoadable(udtClassName)) {
-        val udtClass = Utils.classForName(udtClassName)
+      if (SparkClassUtils.classIsLoadable(udtClassName)) {
+        val udtClass = SparkClassUtils.classForName(udtClassName)
         if (classOf[UserDefinedType[_]].isAssignableFrom(udtClass)) {
           udtClass
         } else {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/VarcharType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/VarcharType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/VarcharType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/VarcharType.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/YearMonthIntervalType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/YearMonthIntervalType.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/types/YearMonthIntervalType.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/types/YearMonthIntervalType.scala
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 9dbc8d625d079..12b6da94c8d52 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -39,10 +39,6 @@
       <groupId>org.scala-lang</groupId>
       <artifactId>scala-reflect</artifactId>
     </dependency>
-    <dependency>
-      <groupId>org.scala-lang.modules</groupId>
-      <artifactId>scala-parser-combinators_${scala.binary.version}</artifactId>
-    </dependency>
 
     <dependency>
       <groupId>org.apache.spark</groupId>
@@ -111,10 +107,6 @@
       <groupId>org.codehaus.janino</groupId>
       <artifactId>commons-compiler</artifactId>
     </dependency>
-    <dependency>
-      <groupId>org.antlr</groupId>
-      <artifactId>antlr4-runtime</artifactId>
-    </dependency>
     <dependency>
       <groupId>commons-codec</groupId>
       <artifactId>commons-codec</artifactId>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteRowLevelCommand.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteRowLevelCommand.scala
index 9d120e6fc2b06..916c88c376610 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteRowLevelCommand.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteRowLevelCommand.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.ProjectingInternalRow
 import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference, AttributeSet, Expression, ExprId, Literal, V2ExpressionUtils}
 import org.apache.spark.sql.catalyst.plans.logical.{Assignment, LogicalPlan}
 import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.RowDeltaUtils._
 import org.apache.spark.sql.catalyst.util.WriteDeltaProjections
 import org.apache.spark.sql.connector.catalog.SupportsRowLevelOperations
@@ -31,7 +32,6 @@ import org.apache.spark.sql.connector.write.{RowLevelOperation, RowLevelOperatio
 import org.apache.spark.sql.connector.write.RowLevelOperation.Command
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
-import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
 
 trait RewriteRowLevelCommand extends Rule[LogicalPlan] {
@@ -162,7 +162,7 @@ trait RewriteRowLevelCommand extends Rule[LogicalPlan] {
       attrs: Seq[Attribute]): ProjectingInternalRow = {
 
     val colOrdinals = attrs.map(attr => findColOrdinal(plan, attr.name))
-    val schema = StructType.fromAttributes(attrs)
+    val schema = DataTypeUtils.fromAttributes(attrs)
     ProjectingInternalRow(schema, colOrdinals)
   }
 
@@ -176,7 +176,7 @@ trait RewriteRowLevelCommand extends Rule[LogicalPlan] {
       val originalValueIndex = findColOrdinal(plan, ORIGINAL_ROW_ID_VALUE_PREFIX + attr.name)
       if (originalValueIndex != -1) originalValueIndex else findColOrdinal(plan, attr.name)
     }
-    val schema = StructType.fromAttributes(rowIdAttrs)
+    val schema = DataTypeUtils.fromAttributes(rowIdAttrs)
     ProjectingInternalRow(schema, colOrdinals)
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/package.scala
index fc683e98b9795..c0689eb121679 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/package.scala
@@ -35,7 +35,7 @@ package object analysis {
    * Resolver should return true if the first string refers to the same entity as the second string.
    * For example, by using case insensitive equality.
    */
-  type Resolver = (String, String) => Boolean
+  type Resolver = SqlApiAnalysis.Resolver
 
   val caseInsensitiveResolution = (a: String, b: String) => a.equalsIgnoreCase(b)
   val caseSensitiveResolution = (a: String, b: String) => a == b
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
index 0141e66c47990..1c72ec0d69980 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
@@ -237,7 +237,7 @@ case class UnresolvedAttribute(nameParts: Seq[String]) extends Attribute with Un
   }
 }
 
-object UnresolvedAttribute {
+object UnresolvedAttribute extends AttributeNameParser {
   /**
    * Creates an [[UnresolvedAttribute]], parsing segments separated by dots ('.').
    */
@@ -257,51 +257,6 @@ object UnresolvedAttribute {
    */
   def quotedString(name: String): UnresolvedAttribute =
     new UnresolvedAttribute(parseAttributeName(name))
-
-  /**
-   * Used to split attribute name by dot with backticks rule.
-   * Backticks must appear in pairs, and the quoted string must be a complete name part,
-   * which means `ab..c`e.f is not allowed.
-   * We can use backtick only inside quoted name parts.
-   */
-  def parseAttributeName(name: String): Seq[String] = {
-    def e = QueryCompilationErrors.attributeNameSyntaxError(name)
-    val nameParts = scala.collection.mutable.ArrayBuffer.empty[String]
-    val tmp = scala.collection.mutable.ArrayBuffer.empty[Char]
-    var inBacktick = false
-    var i = 0
-    while (i < name.length) {
-      val char = name(i)
-      if (inBacktick) {
-        if (char == '`') {
-          if (i + 1 < name.length && name(i + 1) == '`') {
-            tmp += '`'
-            i += 1
-          } else {
-            inBacktick = false
-            if (i + 1 < name.length && name(i + 1) != '.') throw e
-          }
-        } else {
-          tmp += char
-        }
-      } else {
-        if (char == '`') {
-          if (tmp.nonEmpty) throw e
-          inBacktick = true
-        } else if (char == '.') {
-          if (name(i - 1) == '.' || i == name.length - 1) throw e
-          nameParts += tmp.mkString
-          tmp.clear()
-        } else {
-          tmp += char
-        }
-      }
-      i += 1
-    }
-    if (inBacktick) throw e
-    nameParts += tmp.mkString
-    nameParts.toSeq
-  }
 }
 
 /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
index 27d05f3bac756..08fda36390593 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala
@@ -353,7 +353,7 @@ package object dsl {
       def struct(structType: StructType): AttributeReference = attrRef(structType)
 
       def struct(attrs: AttributeReference*): AttributeReference =
-        struct(StructType.fromAttributes(attrs))
+        struct(DataTypeUtils.fromAttributes(attrs))
 
       /** Creates a new AttributeReference of object type */
       def obj(cls: Class[_]): AttributeReference = attrRef(ObjectType(cls))
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HyperLogLogPlusPlus.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HyperLogLogPlusPlus.scala
index 9b0493f3e68a4..bffec270b6f21 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HyperLogLogPlusPlus.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HyperLogLogPlusPlus.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.catalyst.expressions.aggregate
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.trees.UnaryLike
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.HyperLogLogPlusPlusHelper
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.types._
@@ -87,7 +88,7 @@ case class HyperLogLogPlusPlus(
 
   override def dataType: DataType = LongType
 
-  override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   override def defaultResult: Option[Literal] = Option(Literal.create(0L, dataType))
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/PivotFirst.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/PivotFirst.scala
index b90e46e1545d8..001add6d48207 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/PivotFirst.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/PivotFirst.scala
@@ -22,6 +22,7 @@ import scala.collection.immutable.{HashMap, TreeMap}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.trees.BinaryLike
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{GenericArrayData, TypeUtils}
 import org.apache.spark.sql.types._
 
@@ -149,7 +150,7 @@ case class PivotFirst(
       AttributeReference(Option(kv._1).getOrElse("null").toString, valueDataType)()
     }
 
-  override val aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  override val aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   override val inputAggBufferAttributes: Seq[AttributeReference] =
     aggBufferAttributes.map(_.newInstance())
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala
index e29714d3a9a1d..bb78aa7dad2f8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala
@@ -24,6 +24,7 @@ import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodegenFallback, ExprCode}
 import org.apache.spark.sql.catalyst.trees.TreePattern.{AGGREGATE_EXPRESSION, TreePattern}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.types._
 import org.apache.spark.util.collection.OpenHashMap
@@ -419,7 +420,7 @@ abstract class DeclarativeAggregate
   val evaluateExpression: Expression
 
   /** An expression-based aggregate's bufferSchema is derived from bufferAttributes. */
-  final override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  final override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   lazy val inputAggBufferAttributes: Seq[AttributeReference] =
     aggBufferAttributes.map(_.newInstance())
@@ -606,7 +607,7 @@ abstract class TypedImperativeAggregate[T] extends ImperativeAggregate {
   final override lazy val inputAggBufferAttributes: Seq[AttributeReference] =
     aggBufferAttributes.map(_.newInstance())
 
-  final override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  final override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   /**
    * In-place replaces the aggregation buffer object stored at buffer's index
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
index bd8f4efa059bf..2adfddb9383e5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
@@ -22,6 +22,7 @@ import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
 import org.apache.spark.sql.catalyst.expressions.aggregate.ImperativeAggregate
 import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
 import org.apache.spark.sql.catalyst.trees.UnaryLike
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.types.{AbstractDataType, BinaryType, DataType, LongType, StructType}
 
@@ -175,7 +176,7 @@ case class BitmapConstructAgg(child: Expression,
 
   override def nullable: Boolean = false
 
-  override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   // The aggregation buffer is a fixed size binary.
   private val bitmapAttr = AttributeReference("bitmap", BinaryType, nullable = false)()
@@ -268,7 +269,7 @@ case class BitmapOrAgg(child: Expression,
 
   override def nullable: Boolean = false
 
-  override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   // The aggregation buffer is a fixed size binary.
   private val bitmapAttr = AttributeReference("bitmap", BinaryType, false)()
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/objects.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/objects.scala
index 80ec5e40bec1c..6655a09402d09 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/objects.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/objects.scala
@@ -225,7 +225,7 @@ object ObjectSerializerPruning extends Rule[LogicalPlan] {
       if (conf.serializerNestedSchemaPruningEnabled && rootFields.nonEmpty) {
         // Prunes nested fields in serializers.
         val prunedSchema = SchemaPruning.pruneSchema(
-          StructType.fromAttributes(prunedSerializer.map(_.toAttribute)), rootFields)
+          DataTypeUtils.fromAttributes(prunedSerializer.map(_.toAttribute)), rootFields)
         val nestedPrunedSerializer = prunedSerializer.zipWithIndex.map { case (serializer, idx) =>
           pruneSerializer(serializer, prunedSchema(idx).dataType)
         }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/ParserUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/ParserUtils.scala
index bb40aca9129d5..9d00edfe7c41c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/ParserUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/ParserUtils.scala
@@ -16,34 +16,20 @@
  */
 package org.apache.spark.sql.catalyst.parser
 
-import java.lang.{Long => JLong}
-import java.nio.CharBuffer
 import java.util
 import java.util.Locale
 
 import org.antlr.v4.runtime.{ParserRuleContext, Token}
 import org.antlr.v4.runtime.misc.Interval
-import org.antlr.v4.runtime.tree.{ParseTree, TerminalNode, TerminalNodeImpl}
+import org.antlr.v4.runtime.tree.{ParseTree, TerminalNodeImpl}
 
-import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin}
+import org.apache.spark.sql.catalyst.util.SparkParserUtils
 import org.apache.spark.sql.errors.QueryParsingErrors
 
 /**
  * A collection of utility methods for use during the parsing process.
  */
-object ParserUtils {
-
-  val U16_CHAR_PATTERN = """\\u([a-fA-F0-9]{4})(?s).*""".r
-  val U32_CHAR_PATTERN = """\\U([a-fA-F0-9]{8})(?s).*""".r
-  val OCTAL_CHAR_PATTERN = """\\([01][0-7]{2})(?s).*""".r
-  val ESCAPED_CHAR_PATTERN = """\\((?s).)(?s).*""".r
-
-  /** Get the command which created the token. */
-  def command(ctx: ParserRuleContext): String = {
-    val stream = ctx.getStart.getInputStream
-    stream.getText(Interval.of(0, stream.size() - 1))
-  }
-
+object ParserUtils extends SparkParserUtils {
   def operationNotAllowed(message: String, ctx: ParserRuleContext): Nothing = {
     throw QueryParsingErrors.operationNotAllowedError(message, ctx)
   }
@@ -89,12 +75,6 @@ object ParserUtils {
     start.getInputStream.getText(interval)
   }
 
-  /** Convert a string token into a string. */
-  def string(token: Token): String = unescapeSQLString(token.getText)
-
-  /** Convert a string node into a string. */
-  def string(node: TerminalNode): String = unescapeSQLString(node.getText)
-
   /** Convert a string node into a string without unescaping. */
   def stringWithoutUnescape(node: Token): String = {
     // STRING parser rule forces that the input always has quotes at the starting and ending.
@@ -106,30 +86,6 @@ object ParserUtils {
     Option(value).toSeq.map(x => key -> string(x))
   }
 
-  /** Get the origin (line and position) of the token. */
-  def position(token: Token): Origin = {
-    val opt = Option(token)
-    Origin(opt.map(_.getLine), opt.map(_.getCharPositionInLine))
-  }
-
-  def positionAndText(
-      startToken: Token,
-      stopToken: Token,
-      sqlText: String,
-      objectType: Option[String],
-      objectName: Option[String]): Origin = {
-    val startOpt = Option(startToken)
-    val stopOpt = Option(stopToken)
-    Origin(
-      line = startOpt.map(_.getLine),
-      startPosition = startOpt.map(_.getCharPositionInLine),
-      startIndex = startOpt.map(_.getStartIndex),
-      stopIndex = stopOpt.map(_.getStopIndex),
-      sqlText = Some(sqlText),
-      objectType = objectType,
-      objectName = objectName)
-  }
-
   /** Validate the condition. If it doesn't throw a parse exception. */
   def validate(f: => Boolean, message: String, ctx: ParserRuleContext): Unit = {
     if (!f) {
@@ -140,91 +96,6 @@ object ParserUtils {
     }
   }
 
-  /**
-   * Register the origin of the context. Any TreeNode created in the closure will be assigned the
-   * registered origin. This method restores the previously set origin after completion of the
-   * closure.
-   */
-  def withOrigin[T](ctx: ParserRuleContext, sqlText: Option[String] = None)(f: => T): T = {
-    val current = CurrentOrigin.get
-    val text = sqlText.orElse(current.sqlText)
-    if (text.isEmpty) {
-      CurrentOrigin.set(position(ctx.getStart))
-    } else {
-      CurrentOrigin.set(positionAndText(ctx.getStart, ctx.getStop, text.get,
-        current.objectType, current.objectName))
-    }
-    try {
-      f
-    } finally {
-      CurrentOrigin.set(current)
-    }
-  }
-
-  /** Unescape backslash-escaped string enclosed by quotes. */
-  def unescapeSQLString(b: String): String = {
-    val sb = new StringBuilder(b.length())
-
-    def appendEscapedChar(n: Char): Unit = {
-      n match {
-        case '0' => sb.append('\u0000')
-        case '\'' => sb.append('\'')
-        case '"' => sb.append('\"')
-        case 'b' => sb.append('\b')
-        case 'n' => sb.append('\n')
-        case 'r' => sb.append('\r')
-        case 't' => sb.append('\t')
-        case 'Z' => sb.append('\u001A')
-        case '\\' => sb.append('\\')
-        // The following 2 lines are exactly what MySQL does TODO: why do we do this?
-        case '%' => sb.append("\\%")
-        case '_' => sb.append("\\_")
-        case _ => sb.append(n)
-      }
-    }
-
-    if (b.startsWith("r") || b.startsWith("R")) {
-      b.substring(2, b.length - 1)
-    } else {
-      // Skip the first and last quotations enclosing the string literal.
-      val charBuffer = CharBuffer.wrap(b, 1, b.length - 1)
-
-      while (charBuffer.remaining() > 0) {
-        charBuffer match {
-          case U16_CHAR_PATTERN(cp) =>
-            // \u0000 style 16-bit unicode character literals.
-            sb.append(Integer.parseInt(cp, 16).toChar)
-            charBuffer.position(charBuffer.position() + 6)
-          case U32_CHAR_PATTERN(cp) =>
-            // \U00000000 style 32-bit unicode character literals.
-            // Use Long to treat codePoint as unsigned in the range of 32-bit.
-            val codePoint = JLong.parseLong(cp, 16)
-            if (codePoint < 0x10000) {
-              sb.append((codePoint & 0xFFFF).toChar)
-            } else {
-              val highSurrogate = (codePoint - 0x10000) / 0x400 + 0xD800
-              val lowSurrogate = (codePoint - 0x10000) % 0x400 + 0xDC00
-              sb.append(highSurrogate.toChar)
-              sb.append(lowSurrogate.toChar)
-            }
-            charBuffer.position(charBuffer.position() + 10)
-          case OCTAL_CHAR_PATTERN(cp) =>
-            // \000 style character literals.
-            sb.append(Integer.parseInt(cp, 8).toChar)
-            charBuffer.position(charBuffer.position() + 4)
-          case ESCAPED_CHAR_PATTERN(c) =>
-            // escaped character literals.
-            appendEscapedChar(c.charAt(0))
-            charBuffer.position(charBuffer.position() + 2)
-          case _ =>
-            // non-escaped character literals.
-            sb.append(charBuffer.get())
-        }
-      }
-      sb.toString()
-    }
-  }
-
   /** the column name pattern in quoted regex without qualifier */
   val escapedIdentifier = "`((?s).+)`".r
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
index 59ce4e8558018..aee4790eb42aa 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
@@ -27,6 +27,7 @@ import org.apache.spark.sql.catalyst.rules.UnknownRuleId
 import org.apache.spark.sql.catalyst.trees.{AlwaysProcess, CurrentOrigin, TreeNode, TreeNodeTag}
 import org.apache.spark.sql.catalyst.trees.TreePattern.{OUTER_REFERENCE, PLAN_EXPRESSION}
 import org.apache.spark.sql.catalyst.trees.TreePatternBits
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{DataType, StructType}
 import org.apache.spark.util.collection.BitSet
@@ -406,7 +407,7 @@ abstract class QueryPlan[PlanType <: QueryPlan[PlanType]]
     }
   }
 
-  lazy val schema: StructType = StructType.fromAttributes(output)
+  lazy val schema: StructType = DataTypeUtils.fromAttributes(output)
 
   /** Returns the output schema in the tree format. */
   def schemaString: String = schema.treeString
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LocalRelation.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LocalRelation.scala
index 78c1087a1b069..8b9d8c91815fb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LocalRelation.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LocalRelation.scala
@@ -39,13 +39,13 @@ object LocalRelation {
   }
 
   def fromExternalRows(output: Seq[Attribute], data: Seq[Row]): LocalRelation = {
-    val schema = StructType.fromAttributes(output)
+    val schema = DataTypeUtils.fromAttributes(output)
     val converter = CatalystTypeConverters.createToCatalystConverter(schema)
     LocalRelation(output, data.map(converter(_).asInstanceOf[InternalRow]))
   }
 
   def fromProduct(output: Seq[Attribute], data: Seq[Product]): LocalRelation = {
-    val schema = StructType.fromAttributes(output)
+    val schema = DataTypeUtils.fromAttributes(output)
     val converter = CatalystTypeConverters.createToCatalystConverter(schema)
     LocalRelation(output, data.map(converter(_).asInstanceOf[InternalRow]))
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index f8ba042009b2e..4bb830662a33f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1183,7 +1183,7 @@ object Aggregate {
   }
 
   def supportsHashAggregate(aggregateBufferAttributes: Seq[Attribute]): Boolean = {
-    val aggregationBufferSchema = StructType.fromAttributes(aggregateBufferAttributes)
+    val aggregationBufferSchema = DataTypeUtils.fromAttributes(aggregateBufferAttributes)
     isAggregateBufferMutable(aggregationBufferSchema)
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
index 75dab55dccfda..d79d55bc9646d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.catalyst.plans.{InnerLike, LeftAnti, LeftSemi, ReferenceAllColumns}
 import org.apache.spark.sql.catalyst.trees.TreePattern._
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf
@@ -193,7 +194,7 @@ case class MapPartitionsInRWithArrow(
   override lazy val references: AttributeSet = child.outputSet
 
   override protected def stringArgs: Iterator[Any] = Iterator(
-    inputSchema, StructType.fromAttributes(output), child)
+    inputSchema, DataTypeUtils.fromAttributes(output), child)
 
   override val producedAttributes = AttributeSet(output)
 
@@ -658,7 +659,7 @@ case class FlatMapGroupsInRWithArrow(
   override lazy val references: AttributeSet = child.outputSet
 
   override protected def stringArgs: Iterator[Any] = Iterator(
-    inputSchema, StructType.fromAttributes(output), keyDeserializer, groupingAttributes, child)
+    inputSchema, DataTypeUtils.fromAttributes(output), keyDeserializer, groupingAttributes, child)
 
   override val producedAttributes = AttributeSet(output)
 
@@ -678,7 +679,7 @@ object CoGroup {
       rightOrder: Seq[SortOrder],
       left: LogicalPlan,
       right: LogicalPlan): LogicalPlan = {
-    require(StructType.fromAttributes(leftGroup) == StructType.fromAttributes(rightGroup))
+    require(DataTypeUtils.fromAttributes(leftGroup) == DataTypeUtils.fromAttributes(rightGroup))
 
     val cogrouped = CoGroup(
       func.asInstanceOf[(Any, Iterator[Any], Iterator[Any]) => TraversableOnce[Any]],
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/DataTypeUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/DataTypeUtils.scala
index feff781a4038d..1fbe0a41678ba 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/DataTypeUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/DataTypeUtils.scala
@@ -17,7 +17,7 @@
 package org.apache.spark.sql.catalyst.types
 
 import org.apache.spark.sql.catalyst.analysis.Resolver
-import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Cast, Literal}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference, Cast, Literal}
 import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLId
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf.StoreAssignmentPolicy
@@ -200,6 +200,9 @@ object DataTypeUtils {
     schema.map(toAttribute)
   }
 
+  def fromAttributes(attributes: Seq[Attribute]): StructType =
+    StructType(attributes.map(a => StructField(a.name, a.dataType, a.nullable, a.metadata)))
+
   /**
    * Convert a literal to a DecimalType.
    */
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
index 6489fb9aaafd5..50ff3eeab0c16 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
@@ -41,29 +41,7 @@ import org.apache.spark.sql.util.CaseInsensitiveStringMap
 /**
  * This object contains fields to help process DEFAULT columns.
  */
-object ResolveDefaultColumns extends QueryErrorsBase {
-  // This column metadata indicates the default value associated with a particular table column that
-  // is in effect at any given time. Its value begins at the time of the initial CREATE/REPLACE
-  // TABLE statement with DEFAULT column definition(s), if any. It then changes whenever an ALTER
-  // TABLE statement SETs the DEFAULT. The intent is for this "current default" to be used by
-  // UPDATE, INSERT and MERGE, which evaluate each default expression for each row.
-  val CURRENT_DEFAULT_COLUMN_METADATA_KEY = "CURRENT_DEFAULT"
-  // This column metadata represents the default value for all existing rows in a table after a
-  // column has been added. This value is determined at time of CREATE TABLE, REPLACE TABLE, or
-  // ALTER TABLE ADD COLUMN, and never changes thereafter. The intent is for this "exist default" to
-  // be used by any scan when the columns in the source row are missing data. For example, consider
-  // the following sequence:
-  // CREATE TABLE t (c1 INT)
-  // INSERT INTO t VALUES (42)
-  // ALTER TABLE t ADD COLUMNS (c2 INT DEFAULT 43)
-  // SELECT c1, c2 FROM t
-  // In this case, the final query is expected to return 42, 43. The ALTER TABLE ADD COLUMNS command
-  // executed after there was already data in the table, so in order to enforce this invariant, we
-  // need either (1) an expensive backfill of value 43 at column c2 into all previous rows, or (2)
-  // indicate to each data source that selected columns missing data are to generate the
-  // corresponding DEFAULT value instead. We choose option (2) for efficiency, and represent this
-  // value as the text representation of a folded constant in the "EXISTS_DEFAULT" column metadata.
-  val EXISTS_DEFAULT_COLUMN_METADATA_KEY = "EXISTS_DEFAULT"
+object ResolveDefaultColumns extends QueryErrorsBase with ResolveDefaultColumnsUtils {
   // Name of attributes representing explicit references to the value stored in the above
   // CURRENT_DEFAULT_COLUMN_METADATA.
   val CURRENT_DEFAULT_COLUMN_NAME = "DEFAULT"
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
index 35d9b256800f6..8721bb809fc19 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
@@ -131,24 +131,13 @@ package object util extends Logging {
   }
 
   def quoteIfNeeded(part: String): String = {
-    if (part.matches("[a-zA-Z0-9_]+") && !part.matches("\\d+")) {
-      part
-    } else {
-      s"`${part.replace("`", "``")}`"
-    }
+    QuotingUtils.quoteIfNeeded(part)
   }
 
   def toPrettySQL(e: Expression): String = usePrettyExpression(e).sql
 
   def escapeSingleQuotedString(str: String): String = {
-    val builder = new StringBuilder
-
-    str.foreach {
-      case '\'' => builder ++= s"\\\'"
-      case ch => builder += ch
-    }
-
-    builder.toString()
+    QuotingUtils.escapeSingleQuotedString(str)
   }
 
   /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 346f25580aaeb..6fd20b7c34a16 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -794,9 +794,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
   }
 
   def attributeNameSyntaxError(name: String): Throwable = {
-    new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1049",
-      messageParameters = Map("name" -> name))
+    DataTypeErrors.attributeNameSyntaxError(name)
   }
 
   def starExpandDataTypeNotSupportedError(attributes: Seq[String]): Throwable = {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryErrorsBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryErrorsBase.scala
index 0a44ededebd4d..db256fbee8785 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryErrorsBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryErrorsBase.scala
@@ -17,14 +17,9 @@
 
 package org.apache.spark.sql.errors
 
-import java.util.Locale
-
-import org.apache.spark.QueryContext
-import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
 import org.apache.spark.sql.catalyst.expressions.{Expression, Literal}
-import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.catalyst.util.{toPrettySQL, QuotingUtils}
-import org.apache.spark.sql.types.{AbstractDataType, DataType, DoubleType, FloatType, TypeCollection}
+import org.apache.spark.sql.types.{DataType, DoubleType, FloatType}
 
 /**
  * The trait exposes util methods for preparing error messages such as quoting of error elements.
@@ -47,43 +42,6 @@ import org.apache.spark.sql.types.{AbstractDataType, DataType, DoubleType, Float
  *   For example: "earnings + 1".
  */
 private[sql] trait QueryErrorsBase extends DataTypeErrorsBase {
-  // Converts an error class parameter to its SQL representation
-  def toSQLValue(v: Any, t: DataType): String = Literal.create(v, t) match {
-    case Literal(null, _) => "NULL"
-    case Literal(v: Float, FloatType) =>
-      if (v.isNaN) "NaN"
-      else if (v.isPosInfinity) "Infinity"
-      else if (v.isNegInfinity) "-Infinity"
-      else v.toString
-    case l @ Literal(v: Double, DoubleType) =>
-      if (v.isNaN) "NaN"
-      else if (v.isPosInfinity) "Infinity"
-      else if (v.isNegInfinity) "-Infinity"
-      else l.sql
-    case l => l.sql
-  }
-
-  private def quoteByDefault(elem: String): String = {
-    "\"" + elem + "\""
-  }
-
-  def toSQLStmt(text: String): String = {
-    text.toUpperCase(Locale.ROOT)
-  }
-
-  def toSQLId(parts: String): String = {
-    toSQLId(UnresolvedAttribute.parseAttributeName(parts))
-  }
-
-  def toSQLType(t: AbstractDataType): String = t match {
-    case TypeCollection(types) => types.map(toSQLType).mkString("(", " or ", ")")
-    case dt: DataType => quoteByDefault(dt.sql)
-    case at => quoteByDefault(at.simpleString.toUpperCase(Locale.ROOT))
-  }
-
-  def toSQLType(text: String): String = {
-    quoteByDefault(text.toUpperCase(Locale.ROOT))
-  }
 
   def toSQLConfVal(conf: String): String = {
     quoteByDefault(conf)
@@ -93,24 +51,28 @@ private[sql] trait QueryErrorsBase extends DataTypeErrorsBase {
     quoteByDefault(option)
   }
 
-  def toSQLConf(conf: String): String = {
-    QuotingUtils.toSQLConf(conf)
-  }
-
   def toSQLExpr(e: Expression): String = {
     quoteByDefault(toPrettySQL(e))
   }
 
-  def getSummary(sqlContext: SQLQueryContext): String = {
-    if (sqlContext == null) "" else sqlContext.summary
-  }
-
-  def getQueryContext(sqlContext: SQLQueryContext): Array[QueryContext] = {
-    if (sqlContext == null) Array.empty else Array(sqlContext.asInstanceOf[QueryContext])
-  }
-
   def toSQLSchema(schema: String): String = {
     QuotingUtils.toSQLSchema(schema)
   }
+
+  // Converts an error class parameter to its SQL representation
+  def toSQLValue(v: Any, t: DataType): String = Literal.create(v, t) match {
+    case Literal(null, _) => "NULL"
+    case Literal(v: Float, FloatType) =>
+      if (v.isNaN) "NaN"
+      else if (v.isPosInfinity) "Infinity"
+      else if (v.isNegInfinity) "-Infinity"
+      else v.toString
+    case l @ Literal(v: Double, DoubleType) =>
+      if (v.isNaN) "NaN"
+      else if (v.isPosInfinity) "Infinity"
+      else if (v.isNegInfinity) "-Infinity"
+      else l.sql
+    case l => l.sql
+  }
 }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 08955b3216894..433d23eaf3f15 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -202,9 +202,7 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
   }
 
   def dataTypeUnsupportedError(dataType: String, failure: String): Throwable = {
-    new SparkIllegalArgumentException(
-      errorClass = "UNSUPPORTED_DATATYPE",
-      messageParameters = Map("typeName" -> (dataType + failure)))
+    DataTypeErrors.dataTypeUnsupportedError(dataType, failure)
   }
 
   def failedExecuteUserDefinedFunctionError(functionName: String, inputTypes: String,
@@ -1278,15 +1276,8 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       decimalPrecision: Int,
       decimalScale: Int,
       context: SQLQueryContext = null): ArithmeticException = {
-    new SparkArithmeticException(
-      errorClass = "NUMERIC_VALUE_OUT_OF_RANGE",
-      messageParameters = Map(
-        "value" -> value.toPlainString,
-        "precision" -> decimalPrecision.toString,
-        "scale" -> decimalScale.toString,
-        "config" -> toSQLConf(SQLConf.ANSI_ENABLED.key)),
-      context = getQueryContext(context),
-      summary = getSummary(context))
+    DataTypeErrors.unscaledValueTooLargeForPrecisionError(
+      value, decimalPrecision, decimalScale, context)
   }
 
   def decimalPrecisionExceedsMaxPrecisionError(
@@ -1319,21 +1310,11 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
 
   def cannotMergeDecimalTypesWithIncompatibleScaleError(
       leftScale: Int, rightScale: Int): Throwable = {
-    new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2124",
-      messageParameters = Map(
-        "leftScale" -> leftScale.toString(),
-        "rightScale" -> rightScale.toString()),
-      cause = null)
+    DataTypeErrors.cannotMergeDecimalTypesWithIncompatibleScaleError(leftScale, rightScale)
   }
 
   def cannotMergeIncompatibleDataTypesError(left: DataType, right: DataType): Throwable = {
-    new SparkException(
-      errorClass = "CANNOT_MERGE_INCOMPATIBLE_DATA_TYPE",
-      messageParameters = Map(
-        "left" -> toSQLType(left),
-        "right" -> toSQLType(right)),
-      cause = null)
+    DataTypeErrors.cannotMergeIncompatibleDataTypesError(left, right)
   }
 
   def exceedMapSizeLimitError(size: Int): SparkRuntimeException = {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/SQLKeywordSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/SQLKeywordSuite.scala
index 5957adcd75e44..2c8bb8a6ac92c 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/SQLKeywordSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/SQLKeywordSuite.scala
@@ -31,11 +31,11 @@ trait SQLKeywordUtils extends SparkFunSuite with SQLHelper {
 
   val sqlSyntaxDefs = {
     val sqlBaseParserPath =
-      getWorkspaceFilePath("sql", "catalyst", "src", "main", "antlr4", "org",
+      getWorkspaceFilePath("sql", "api", "src", "main", "antlr4", "org",
         "apache", "spark", "sql", "catalyst", "parser", "SqlBaseParser.g4").toFile
 
     val sqlBaseLexerPath =
-      getWorkspaceFilePath("sql", "catalyst", "src", "main", "antlr4", "org",
+      getWorkspaceFilePath("sql", "api", "src", "main", "antlr4", "org",
         "apache", "spark", "sql", "catalyst", "parser", "SqlBaseLexer.g4").toFile
 
     (fileToString(sqlBaseParserPath) + fileToString(sqlBaseLexerPath)).split("\n")
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
index fe45e02c67fac..e8d2ca1ff75de 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
@@ -26,7 +26,8 @@ import org.apache.spark.sql.catalyst.expressions.Literal.FalseLiteral
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical.{Expand, LocalRelation, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
-import org.apache.spark.sql.types.{IntegerType, MetadataBuilder, StructType}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
+import org.apache.spark.sql.types.{IntegerType, MetadataBuilder}
 
 class PropagateEmptyRelationSuite extends PlanTest {
   object Optimize extends RuleExecutor[LogicalPlan] {
@@ -201,7 +202,7 @@ class PropagateEmptyRelationSuite extends PlanTest {
   test("propagate empty streaming relation through multiple UnaryNode") {
     val output = Seq($"a".int)
     val data = Seq(Row(1))
-    val schema = StructType.fromAttributes(output)
+    val schema = DataTypeUtils.fromAttributes(output)
     val converter = CatalystTypeConverters.createToCatalystConverter(schema)
     val relation = LocalRelation(
       output,
@@ -224,7 +225,7 @@ class PropagateEmptyRelationSuite extends PlanTest {
   test("don't propagate empty streaming relation through agg") {
     val output = Seq($"a".int)
     val data = Seq(Row(1))
-    val schema = StructType.fromAttributes(output)
+    val schema = DataTypeUtils.fromAttributes(output)
     val converter = CatalystTypeConverters.createToCatalystConverter(schema)
     val relation = LocalRelation(
       output,
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
index 6eedd7f9b6f1b..623c6c69165d4 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
@@ -324,7 +324,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     check(Seq("s1", "S12"), Some(Seq("s1") -> StructField("s12", IntegerType)))
     caseSensitiveCheck(Seq("s1", "S12"), None)
     check(Seq("S1.non_exist"), None)
-    var e = intercept[AnalysisException] {
+    var e = intercept[SparkException] {
       check(Seq("S1", "S12", "S123"), None)
     }
     checkError(
@@ -335,7 +335,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "path" -> "`s1`.`s12`"))
 
     // ambiguous name
-    var e2 = intercept[AnalysisException] {
+    var e2 = intercept[SparkException] {
       check(Seq("S2", "x"), None)
     }
     checkError(
@@ -345,7 +345,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     caseSensitiveCheck(Seq("s2", "x"), Some(Seq("s2") -> StructField("x", IntegerType)))
 
     // simple map type
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       check(Seq("m1", "key"), None)
     }
     checkError(
@@ -356,7 +356,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "path" -> "`m1`"))
     checkCollection(Seq("m1", "key"), Some(Seq("m1") -> StructField("key", IntegerType, false)))
     checkCollection(Seq("M1", "value"), Some(Seq("m1") -> StructField("value", IntegerType)))
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("M1", "key", "name"), None)
     }
     checkError(
@@ -365,7 +365,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
       parameters = Map(
         "fieldName" -> "`M1`.`key`.`name`",
         "path" -> "`m1`.`key`"))
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("M1", "value", "name"), None)
     }
     checkError(
@@ -382,7 +382,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("M2", "value", "b"),
       Some(Seq("m2", "value") -> StructField("b", IntegerType)))
     checkCollection(Seq("M2", "value", "non_exist"), None)
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("m2", "key", "A", "name"), None)
     }
     checkError(
@@ -391,7 +391,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
       parameters = Map(
         "fieldName" -> "`m2`.`key`.`A`.`name`",
         "path" -> "`m2`.`key`.`a`"))
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("M2", "value", "b", "name"), None)
     }
     checkError(
@@ -401,7 +401,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "fieldName" -> "`M2`.`value`.`b`.`name`",
         "path" -> "`m2`.`value`.`b`"))
     // simple array type
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       check(Seq("A1", "element"), None)
     }
     checkError(
@@ -411,7 +411,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "fieldName" -> "`A1`.`element`",
         "path" -> "`a1`"))
     checkCollection(Seq("A1", "element"), Some(Seq("a1") -> StructField("element", IntegerType)))
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("A1", "element", "name"), None)
     }
     checkError(
@@ -425,7 +425,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("A2", "element", "C"),
       Some(Seq("a2", "element") -> StructField("c", IntegerType)))
     checkCollection(Seq("A2", "element", "non_exist"), None)
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("a2", "element", "C", "name"), None)
     }
     checkError(
@@ -439,7 +439,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("M3", "value", "value", "MA"),
       Some(Seq("m3", "value", "value") -> StructField("ma", IntegerType)))
     checkCollection(Seq("M3", "value", "value", "non_exist"), None)
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("M3", "value", "value", "MA", "name"), None)
     }
     checkError(
@@ -453,7 +453,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("A3", "element", "element", "D"),
       Some(Seq("a3", "element", "element") -> StructField("d", IntegerType)))
     checkCollection(Seq("A3", "element", "element", "non_exist"), None)
-    e = intercept[AnalysisException] {
+    e = intercept[SparkException] {
       checkCollection(Seq("A3", "element", "element", "D", "name"), None)
     }
     checkError(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/CollectMetricsExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/CollectMetricsExec.scala
index 6f0b0bb2231a3..dc918e51d0550 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/CollectMetricsExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/CollectMetricsExec.scala
@@ -22,6 +22,7 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow}
 import org.apache.spark.sql.catalyst.expressions.{Attribute, NamedExpression, SortOrder}
 import org.apache.spark.sql.catalyst.plans.physical.Partitioning
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
 import org.apache.spark.sql.types.StructType
@@ -42,7 +43,7 @@ case class CollectMetricsExec(
   }
 
   val metricsSchema: StructType = {
-    StructType.fromAttributes(metricExpressions.map(_.toAttribute))
+    DataTypeUtils.fromAttributes(metricExpressions.map(_.toAttribute))
   }
 
   // This is not used very frequently (once a query); it is not useful to use code generation here.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
index 0eca4a1b04a15..5c93c72e36d62 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
@@ -30,6 +30,7 @@ import org.apache.spark.sql.catalyst.planning._
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.streaming.{InternalOutputModes, StreamingRelationV2}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.execution.aggregate.AggUtils
 import org.apache.spark.sql.execution.columnar.{InMemoryRelation, InMemoryTableScanExec}
@@ -41,7 +42,6 @@ import org.apache.spark.sql.execution.streaming._
 import org.apache.spark.sql.execution.streaming.sources.MemoryPlan
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.streaming.OutputMode
-import org.apache.spark.sql.types.StructType
 
 /**
  * Converts a logical plan into zero or more SparkPlans.  This API is exposed for experimenting
@@ -776,7 +776,7 @@ abstract class SparkStrategies extends QueryPlanner[SparkPlan] {
       case r: RunnableCommand => ExecutedCommandExec(r) :: Nil
 
       case MemoryPlan(sink, output) =>
-        val encoder = RowEncoder(StructType.fromAttributes(output))
+        val encoder = RowEncoder(DataTypeUtils.fromAttributes(output))
         val toRow = encoder.createSerializer()
         LocalTableScanExec(output, sink.allData.map(r => toRow(r).copy())) :: Nil
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala
index c81ef40398090..b942907b6752f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala
@@ -31,6 +31,7 @@ import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.plans.logical.Aggregate
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.NANOS_PER_MILLIS
 import org.apache.spark.sql.catalyst.util.truncatedString
@@ -38,7 +39,7 @@ import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
 import org.apache.spark.sql.execution.vectorized.MutableColumnarRow
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types.{CalendarIntervalType, DecimalType, StringType, StructType}
+import org.apache.spark.sql.types.{CalendarIntervalType, DecimalType, StringType}
 import org.apache.spark.unsafe.KVIterator
 import org.apache.spark.util.Utils
 
@@ -133,11 +134,11 @@ case class HashAggregateExec(
   }
 
   private val groupingAttributes = groupingExpressions.map(_.toAttribute)
-  private val groupingKeySchema = StructType.fromAttributes(groupingAttributes)
+  private val groupingKeySchema = DataTypeUtils.fromAttributes(groupingAttributes)
   private val declFunctions = aggregateExpressions.map(_.aggregateFunction)
     .filter(_.isInstanceOf[DeclarativeAggregate])
     .map(_.asInstanceOf[DeclarativeAggregate])
-  private val bufferSchema = StructType.fromAttributes(aggregateBufferAttributes)
+  private val bufferSchema = DataTypeUtils.fromAttributes(aggregateBufferAttributes)
 
   // The name for Fast HashMap
   private var fastHashMapTerm: String = _
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala
index 1d89e56eebde0..fac3f7d6d8ae2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.UnsafeKVExternalSorter
 import org.apache.spark.sql.execution.metric.SQLMetric
 import org.apache.spark.sql.internal.SQLConf
@@ -189,8 +190,8 @@ class ObjectAggregationIterator(
           .sortedIterator()
         sortBasedAggregationStore = new SortBasedAggregator(
           sortIteratorFromHashMap,
-          StructType.fromAttributes(originalInputAttributes),
-          StructType.fromAttributes(groupingAttributes),
+          DataTypeUtils.fromAttributes(originalInputAttributes),
+          DataTypeUtils.fromAttributes(groupingAttributes),
           processRow,
           mergeAggregationBuffers,
           createNewAggregationBuffer())
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationMap.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationMap.scala
index 6aede04b069ef..9b68e6f02a859 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationMap.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationMap.scala
@@ -24,8 +24,8 @@ import org.apache.spark.internal.config
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Attribute, UnsafeProjection, UnsafeRow}
 import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateFunction, TypedImperativeAggregate}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.UnsafeKVExternalSorter
-import org.apache.spark.sql.types.StructType
 
 /**
  * An aggregation map that supports using safe `SpecificInternalRow`s aggregation buffers, so that
@@ -73,8 +73,8 @@ class ObjectAggregationMap() {
       aggregateFunctions: Seq[AggregateFunction]): UnsafeKVExternalSorter = {
     val aggBufferAttributes = aggregateFunctions.flatMap(_.aggBufferAttributes)
     val sorter = new UnsafeKVExternalSorter(
-      StructType.fromAttributes(groupingAttributes),
-      StructType.fromAttributes(aggBufferAttributes),
+      DataTypeUtils.fromAttributes(groupingAttributes),
+      DataTypeUtils.fromAttributes(aggBufferAttributes),
       SparkEnv.get.blockManager,
       SparkEnv.get.serializerManager,
       TaskContext.get().taskMemoryManager().pageSizeBytes,
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
index 36405fe927273..7de2215037b2a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
@@ -24,9 +24,9 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeRowJoiner
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{UnsafeFixedWidthAggregationMap, UnsafeKVExternalSorter}
 import org.apache.spark.sql.execution.metric.SQLMetric
-import org.apache.spark.sql.types.StructType
 import org.apache.spark.unsafe.KVIterator
 
 /**
@@ -140,8 +140,8 @@ class TungstenAggregationIterator(
       // Fast path for partial aggregation, UnsafeRowJoiner is usually faster than projection
       val groupingAttributes = groupingExpressions.map(_.toAttribute)
       val bufferAttributes = aggregateFunctions.flatMap(_.aggBufferAttributes)
-      val groupingKeySchema = StructType.fromAttributes(groupingAttributes)
-      val bufferSchema = StructType.fromAttributes(bufferAttributes)
+      val groupingKeySchema = DataTypeUtils.fromAttributes(groupingAttributes)
+      val bufferSchema = DataTypeUtils.fromAttributes(bufferAttributes)
       val unsafeRowJoiner = GenerateUnsafeRowJoiner.create(groupingKeySchema, bufferSchema)
 
       (currentGroupingKey: UnsafeRow, currentBuffer: InternalRow) => {
@@ -165,8 +165,8 @@ class TungstenAggregationIterator(
   // all groups and their corresponding aggregation buffers for hash-based aggregation.
   private[this] val hashMap = new UnsafeFixedWidthAggregationMap(
     initialAggregationBuffer,
-    StructType.fromAttributes(aggregateFunctions.flatMap(_.aggBufferAttributes)),
-    StructType.fromAttributes(groupingExpressions.map(_.toAttribute)),
+    DataTypeUtils.fromAttributes(aggregateFunctions.flatMap(_.aggBufferAttributes)),
+    DataTypeUtils.fromAttributes(groupingExpressions.map(_.toAttribute)),
     TaskContext.get(),
     1024 * 16, // initial capacity
     TaskContext.get().taskMemoryManager().pageSizeBytes
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
index b48493e4ff027..45d006b58e879 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
@@ -27,6 +27,7 @@ import org.apache.spark.sql.catalyst.analysis.MultiInstanceRelation
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.{logical, QueryPlan}
 import org.apache.spark.sql.catalyst.plans.logical.{ColumnStat, LogicalPlan, Statistics}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.truncatedString
 import org.apache.spark.sql.columnar.{CachedBatch, CachedBatchSerializer, SimpleMetricsCachedBatch, SimpleMetricsCachedBatchSerializer}
 import org.apache.spark.sql.execution.{ColumnarToRowTransition, InputAdapter, QueryExecution, SparkPlan, WholeStageCodegenExec}
@@ -144,7 +145,7 @@ class DefaultCachedBatchSerializer extends SimpleMetricsCachedBatchSerializer {
       selectedAttributes: Seq[Attribute],
       conf: SQLConf): RDD[ColumnarBatch] = {
     val offHeapColumnVectorEnabled = conf.offHeapColumnVectorEnabled
-    val outputSchema = StructType.fromAttributes(selectedAttributes)
+    val outputSchema = DataTypeUtils.fromAttributes(selectedAttributes)
     val columnIndices =
       selectedAttributes.map(a => cacheAttributes.map(o => o.exprId).indexOf(a.exprId)).toArray
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 454cc0b5f56e7..3ddb897f7082c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.planning.PhysicalOperation
 import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoDir, InsertIntoStatement, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{GeneratedColumn, ResolveDefaultColumns, V2ExpressionBuilder}
 import org.apache.spark.sql.connector.catalog.SupportsRead
 import org.apache.spark.sql.connector.catalog.TableCapability._
@@ -740,7 +741,8 @@ object DataSourceStrategy
       output: Seq[Attribute],
       rdd: RDD[Row]): RDD[InternalRow] = {
     if (relation.needConversion) {
-      val toRow = RowEncoder(StructType.fromAttributes(output), lenient = true).createSerializer()
+      val toRow =
+        RowEncoder(DataTypeUtils.fromAttributes(output), lenient = true).createSerializer()
       rdd.mapPartitions { iterator =>
         iterator.map(toRow)
       }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
index b3d68003be33c..8011cc0074389 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
@@ -34,6 +34,7 @@ import org.apache.spark.sql.catalyst.analysis.TypeCoercion
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils.getPartitionValueString
 import org.apache.spark.sql.catalyst.expressions.{Attribute, Cast, Literal}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, DateFormatter, DateTimeUtils, TimestampFormatter}
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.types._
@@ -364,7 +365,7 @@ object PartitioningUtils extends SQLConfHelper {
     }
 
   def getPathFragment(spec: TablePartitionSpec, partitionColumns: Seq[Attribute]): String = {
-    getPathFragment(spec, StructType.fromAttributes(partitionColumns))
+    getPathFragment(spec, DataTypeUtils.fromAttributes(partitionColumns))
   }
 
   /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
index 31e4a772dc1a6..42ad83c9821bc 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
@@ -22,8 +22,8 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.encoders.RowEncoder
 import org.apache.spark.sql.catalyst.expressions.{AttributeSet, GenericRowWithSchema}
 import org.apache.spark.sql.catalyst.trees.LeafLike
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.SparkPlan
-import org.apache.spark.sql.types.StructType
 
 /**
  * A physical operator that executes run() and saves the result to prevent multiple executions.
@@ -65,7 +65,7 @@ abstract class V2CommandExec extends SparkPlan {
   }
 
   private lazy val rowSerializer = {
-    RowEncoder(StructType.fromAttributes(output)).resolveAndBind().createSerializer()
+    RowEncoder(DataTypeUtils.fromAttributes(output)).resolveAndBind().createSerializer()
   }
 }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala
index de43d67e621c5..7e534b92dd92e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.expressions.PredicateHelper
 import org.apache.spark.sql.catalyst.plans.logical.{AppendData, LogicalPlan, OverwriteByExpression, OverwritePartitionsDynamic, Project, ReplaceData, WriteDelta}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes._
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.WriteDeltaProjections
 import org.apache.spark.sql.connector.catalog.{SupportsWrite, Table}
 import org.apache.spark.sql.connector.expressions.filter.Predicate
@@ -96,7 +97,7 @@ object V2Writes extends Rule[LogicalPlan] with PredicateHelper {
       WriteToDataSourceV2(relation, microBatchWrite, newQuery, customMetrics)
 
     case rd @ ReplaceData(r: DataSourceV2Relation, _, query, _, _, None) =>
-      val rowSchema = StructType.fromAttributes(rd.dataInput)
+      val rowSchema = DataTypeUtils.fromAttributes(rd.dataInput)
       val writeBuilder = newWriteBuilder(r.table, Map.empty, rowSchema)
       val write = writeBuilder.build()
       val newQuery = DistributionAndOrderingUtils.prepareQuery(write, query, r.funCatalog)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala
index 8d967458ad7ce..91f2099ce2d53 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala
@@ -32,10 +32,10 @@ import org.apache.spark.sql.catalyst.expressions.{Attribute, BoundReference, Uns
 import org.apache.spark.sql.catalyst.expressions.codegen.LazilyGeneratedOrdering
 import org.apache.spark.sql.catalyst.plans.logical.Statistics
 import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics, SQLShuffleReadMetricsReporter, SQLShuffleWriteMetricsReporter}
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types.StructType
 import org.apache.spark.util.MutablePair
 import org.apache.spark.util.collection.unsafe.sort.{PrefixComparators, RecordComparator}
 import org.apache.spark.util.random.XORShiftRandom
@@ -364,7 +364,7 @@ object ShuffleExchangeExec {
           val pageSize = SparkEnv.get.memoryManager.pageSizeBytes
 
           val sorter = UnsafeExternalRowSorter.createWithRecordComparator(
-            StructType.fromAttributes(outputAttributes),
+            DataTypeUtils.fromAttributes(outputAttributes),
             recordComparatorSupplier,
             prefixComparator,
             prefixComputer,
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala
index c8d575016fc20..0ae699240ca08 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala
@@ -35,6 +35,7 @@ import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.catalyst.plans.ReferenceAllColumns
 import org.apache.spark.sql.catalyst.plans.logical.{EventTimeWatermark, FunctionUtils, LogicalGroupState}
 import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.python.BatchIterator
 import org.apache.spark.sql.execution.r.ArrowRRunner
 import org.apache.spark.sql.execution.streaming.GroupStateImpl
@@ -593,7 +594,7 @@ case class FlatMapGroupsInRWithArrowExec(
       // binary in a batch due to the limitation of R API. See also ARROW-4512.
       val columnarBatchIter = runner.compute(groupedByRKey, -1)
       val outputProject = UnsafeProjection.create(output, output)
-      val outputTypes = StructType.fromAttributes(output).map(_.dataType)
+      val outputTypes = DataTypeUtils.fromAttributes(output).map(_.dataType)
 
       columnarBatchIter.flatMap { batch =>
         val actualDataTypes = (0 until batch.numCols()).map(i => batch.column(i).dataType())
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
index 4da9fb8a60bbe..9ef133c6bea74 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
@@ -23,9 +23,9 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, ClusteredDistribution, Distribution, Partitioning}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{BinaryExecNode, CoGroupedIterator, SparkPlan}
 import org.apache.spark.sql.execution.python.PandasGroupUtils._
-import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.util.ArrowUtils
 
 
@@ -95,8 +95,8 @@ case class FlatMapCoGroupsInPandasExec(
           chainedFunc,
           PythonEvalType.SQL_COGROUPED_MAP_PANDAS_UDF,
           Array(leftArgOffsets ++ rightArgOffsets),
-          StructType.fromAttributes(leftDedup),
-          StructType.fromAttributes(rightDedup),
+          DataTypeUtils.fromAttributes(leftDedup),
+          DataTypeUtils.fromAttributes(rightDedup),
           sessionLocalTimeZone,
           pythonRunnerConf,
           pythonMetrics,
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
index 77385e9a7d316..0ae5a99894337 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
@@ -23,9 +23,9 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, ClusteredDistribution, Distribution, Partitioning}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{SparkPlan, UnaryExecNode}
 import org.apache.spark.sql.execution.python.PandasGroupUtils._
-import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.util.ArrowUtils
 
 
@@ -90,7 +90,7 @@ case class FlatMapGroupsInPandasExec(
         chainedFunc,
         PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF,
         Array(argOffsets),
-        StructType.fromAttributes(dedupAttributes),
+        DataTypeUtils.fromAttributes(dedupAttributes),
         sessionLocalTimeZone,
         largeVarTypes,
         pythonRunnerConf,
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
index 8366c0c25ae4f..d80320404b0f7 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
@@ -24,6 +24,7 @@ import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.{EventTimeTimeout, ProcessingTimeTimeout}
 import org.apache.spark.sql.catalyst.plans.physical.Distribution
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{GroupedIterator, SparkPlan, UnaryExecNode}
 import org.apache.spark.sql.execution.python.PandasGroupUtils.resolveArgOffsets
 import org.apache.spark.sql.execution.streaming._
@@ -170,7 +171,7 @@ case class FlatMapGroupsInPandasWithStateExec(
         chainedFunc,
         PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF_WITH_STATE,
         Array(argOffsets),
-        StructType.fromAttributes(dedupAttributesWithNull),
+        DataTypeUtils.fromAttributes(dedupAttributesWithNull),
         sessionLocalTimeZone,
         pythonRunnerConf,
         stateEncoder.asInstanceOf[ExpressionEncoder[Row]],
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StreamingAggregationStateManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StreamingAggregationStateManager.scala
index 36138f11b76cf..97feb9b579af9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StreamingAggregationStateManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StreamingAggregationStateManager.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.streaming.state
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.expressions.{Attribute, UnsafeRow}
 import org.apache.spark.sql.catalyst.expressions.codegen.{GenerateUnsafeProjection, GenerateUnsafeRowJoiner}
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.types.StructType
 
 /**
@@ -160,8 +161,8 @@ class StreamingAggregationStateManagerImplV2(
     GenerateUnsafeProjection.generate(valueExpressions, inputRowAttributes)
 
   @transient private lazy val joiner =
-    GenerateUnsafeRowJoiner.create(StructType.fromAttributes(keyExpressions),
-      StructType.fromAttributes(valueExpressions))
+    GenerateUnsafeRowJoiner.create(DataTypeUtils.fromAttributes(keyExpressions),
+      DataTypeUtils.fromAttributes(valueExpressions))
   @transient private lazy val restoreValueProjector = GenerateUnsafeProjection.generate(
     inputRowAttributes, keyValueJoinedExpressions)
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 9f210ae437108..39db165148cdd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -1721,7 +1721,7 @@ class DataFrameSuite extends QueryTest
 
       def checkSyntaxError(name: String): Unit = {
         checkError(
-          exception = intercept[org.apache.spark.sql.AnalysisException] {
+          exception = intercept[SparkException] {
             df(name)
           },
           errorClass = "_LEGACY_ERROR_TEMP_1049",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
index a18c767570f01..248783dd6c6f4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
@@ -838,7 +838,7 @@ trait AlterTableTests extends SharedSparkSession with QueryErrorsBase {
       assert(e2.getMessage.contains("Missing field point.non_exist"))
 
       // `AlterTable.resolved` checks column existence.
-      intercept[AnalysisException](
+      intercept[SparkException](
         sql(s"ALTER TABLE $t ALTER COLUMN a.y AFTER x"))
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
index 7f938deaaa645..04f9da5312c38 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.errors
 
-import org.apache.spark.SPARK_DOC_ROOT
+import org.apache.spark.{SPARK_DOC_ROOT, SparkException}
 import org.apache.spark.sql.{AnalysisException, ClassData, IntegratedUDFTestUtils, QueryTest, Row}
 import org.apache.spark.sql.api.java.{UDF1, UDF2, UDF23Test}
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -532,7 +532,7 @@ class QueryCompilationErrorsSuite
 
       val query = "ALTER TABLE t CHANGE COLUMN c.X COMMENT 'new comment'"
       checkError(
-        exception = intercept[AnalysisException] {
+        exception = intercept[SparkException] {
           sql(query)
         },
         errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala
index 63964665fc81c..b065c9a27a459 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala
@@ -21,13 +21,14 @@ import org.apache.spark.sql.catalyst.catalog.BucketSpec
 import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference}
 import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide}
 import org.apache.spark.sql.catalyst.plans.Inner
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{BinaryExecNode, FileSourceScanExec, SparkPlan}
 import org.apache.spark.sql.execution.datasources.{HadoopFsRelation, InMemoryFileIndex, PartitionSpec}
 import org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
 import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, ShuffledHashJoinExec, SortMergeJoinExec}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.{SharedSparkSession, SQLTestUtils}
-import org.apache.spark.sql.types.{IntegerType, StructType}
+import org.apache.spark.sql.types.IntegerType
 
 class CoalesceBucketsInJoinSuite extends SQLTestUtils with SharedSparkSession {
   private val SORT_MERGE_JOIN = "sortMergeJoin"
@@ -68,7 +69,7 @@ class CoalesceBucketsInJoinSuite extends SQLTestUtils with SharedSparkSession {
     val relation = HadoopFsRelation(
       location = new InMemoryFileIndex(spark, Nil, Map.empty, None),
       partitionSchema = PartitionSpec.emptySpec.partitionColumns,
-      dataSchema = StructType.fromAttributes(setting.cols),
+      dataSchema = DataTypeUtils.fromAttributes(setting.cols),
       bucketSpec = Some(BucketSpec(setting.numBuckets, setting.cols.map(_.name), Nil)),
       fileFormat = new ParquetFileFormat(),
       options = Map.empty)(spark)

From 39c732f89cdbd89c3e8bc39cf233eba338ad705a Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Thu, 20 Jul 2023 17:44:14 +0800
Subject: [PATCH 030/986] [SPARK-43839][SQL][FOLLOWUP] Convert
 _LEGACY_ERROR_TEMP_1337 to UNSUPPORTED_FEATURE.TIME_TRAVEL

### What changes were proposed in this pull request?
- The pr is following up https://github.com/apache/spark/pull/41349.
- The pr aims to simplify code logic after merge `_LEGACY_ERROR_TEMP_1337` to `UNSUPPORTED_FEATURE.TIME_TRAVEL`.

### Why are the changes needed?
Simplify code logic.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

Closes #42082 from panbingkun/SPARK-43839_FOLLOWUP.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 6700f3ce8b1020186a2f0871caecb74354650922)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../datasources/v2/V2SessionCatalog.scala        | 16 ++++------------
 1 file changed, 4 insertions(+), 12 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
index f311ccbb6309d..a7062a9a596c3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
@@ -88,19 +88,11 @@ class V2SessionCatalog(catalog: SessionCatalog)
   }
 
   private def failTimeTravel(ident: Identifier, t: Table): Table = {
-    t match {
-      case V1Table(catalogTable) =>
-        if (catalogTable.tableType == CatalogTableType.VIEW) {
-          throw QueryCompilationErrors.timeTravelUnsupportedError(
-            toSQLId(catalogTable.identifier.nameParts))
-        } else {
-          throw QueryCompilationErrors.timeTravelUnsupportedError(
-            toSQLId(catalogTable.identifier.nameParts))
-        }
-
-      case _ => throw QueryCompilationErrors.timeTravelUnsupportedError(
-        toSQLId(ident.asTableIdentifier.nameParts))
+    val nameParts = t match {
+      case V1Table(catalogTable) => catalogTable.identifier.nameParts
+      case _ => ident.asTableIdentifier.nameParts
     }
+    throw QueryCompilationErrors.timeTravelUnsupportedError(toSQLId(nameParts))
   }
 
   override def invalidateTable(ident: Identifier): Unit = {

From 337248d201250af7b244406abf2888b0a7e08ea2 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Thu, 20 Jul 2023 03:22:34 -0700
Subject: [PATCH 031/986] [SPARK-44494][INFRA] Use `minikube` v1.30.1 for
 `k8s-integration-tests`

### What changes were proposed in this pull request?
This pr change to use `minikube` v1.30.1 for `k8s-integration-tests` on GitHub Action, this is a temporary solution.
This PR also leaves a TODO:

- SPARK-44495: Resume to use the latest minikube for `k8s-integration-tests` on GitHub Action

### Why are the changes needed?
Restore `k8s-integration-tests` GA testing

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- `k8s-integration-tests` test pass on GitHub Action

Closes #42091 from LuciferYang/SPARK-44494.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 57b985c5d57eea614024a4e125eba63663978de3)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .github/workflows/build_and_test.yml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index f5a109d95de5f..54fe9f38dddf2 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -998,7 +998,9 @@ jobs:
       - name: start minikube
         run: |
           # See more in "Installation" https://minikube.sigs.k8s.io/docs/start/
-          curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
+          # curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
+          # TODO(SPARK-44495): Resume to use the latest minikube for k8s-integration-tests.
+          curl -LO https://storage.googleapis.com/minikube/releases/v1.30.1/minikube-linux-amd64
           sudo install minikube-linux-amd64 /usr/local/bin/minikube
           # Github Action limit cpu:2, memory: 6947MB, limit to 2U6G for better resource statistic
           minikube start --cpus 2 --memory 6144

From c13b0ffc4377a0d7ee9446deef3ed032532d3be3 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 20 Jul 2023 13:22:59 -0700
Subject: [PATCH 032/986] [SPARK-44501][K8S] Ignore checksum files in
 KubernetesLocalDiskShuffleExecutorComponents

### What changes were proposed in this pull request?

This PR aims to improve `KubernetesLocalDiskShuffleExecutorComponents` by ignoring checksum files.

### Why are the changes needed?

To reduce the overhead of `BlockManager.TempFileBasedBlockStoreUpdater` API call.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs with the newly added test case.

Closes #42094 from dongjoon-hyun/SPARK-44501.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit ca822d5f25d5e0bfa4594aea76a26d53bd01b109)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 ...esLocalDiskShuffleExecutorComponents.scala | 11 +++++++++--
 ...ubernetesLocalDiskShuffleDataIOSuite.scala | 19 +++++++++++++++++++
 2 files changed, 28 insertions(+), 2 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
index 3d6379b871388..8f0729067b9c3 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
@@ -25,6 +25,7 @@ import scala.reflect.ClassTag
 import org.apache.commons.io.FileExistsException
 
 import org.apache.spark.{SparkConf, SparkEnv}
+import org.apache.spark.deploy.k8s.Config.KUBERNETES_DRIVER_REUSE_PVC
 import org.apache.spark.internal.Logging
 import org.apache.spark.shuffle.api.{ShuffleExecutorComponents, ShuffleMapOutputWriter, SingleSpillShuffleMapOutputWriter}
 import org.apache.spark.shuffle.sort.io.LocalDiskShuffleExecutorComponents
@@ -41,12 +42,15 @@ class KubernetesLocalDiskShuffleExecutorComponents(sparkConf: SparkConf)
       appId: String, execId: String, extraConfigs: java.util.Map[String, String]): Unit = {
     delegate.initializeExecutor(appId, execId, extraConfigs)
     blockManager = SparkEnv.get.blockManager
-    if (sparkConf.getBoolean("spark.kubernetes.driver.reusePersistentVolumeClaim", false)) {
+    if (sparkConf.getBoolean(KUBERNETES_DRIVER_REUSE_PVC.key, false)) {
+      logInfo("Try to recover shuffle data.")
       // Turn off the deletion of the shuffle data in order to reuse
       blockManager.diskBlockManager.deleteFilesOnStop = false
       Utils.tryLogNonFatalError {
         KubernetesLocalDiskShuffleExecutorComponents.recoverDiskStore(sparkConf, blockManager)
       }
+    } else {
+      logInfo(s"Skip recovery because ${KUBERNETES_DRIVER_REUSE_PVC.key} is disabled.")
     }
   }
 
@@ -80,7 +84,7 @@ object KubernetesLocalDiskShuffleExecutorComponents extends Logging {
           .flatMap(_.listFiles).filter(_.isDirectory) // executor-xxx
           .flatMap(_.listFiles).filter(_.isDirectory) // blockmgr-xxx
           .flatMap(_.listFiles).filter(_.isDirectory) // 00
-          .flatMap(_.listFiles)
+          .flatMap(_.listFiles).filterNot(_.getName.contains(".checksum"))
         if (files != null) files.toSeq else Seq.empty
       }
 
@@ -91,14 +95,17 @@ object KubernetesLocalDiskShuffleExecutorComponents extends Logging {
     val level = StorageLevel.DISK_ONLY
     val (indexFiles, dataFiles) = files.partition(_.getName.endsWith(".index"))
     (dataFiles ++ indexFiles).foreach { f =>
+      logInfo(s"Try to recover ${f.getAbsolutePath}")
       try {
         val id = BlockId(f.getName)
         val decryptedSize = f.length()
         bm.TempFileBasedBlockStoreUpdater(id, level, classTag, f, decryptedSize).save()
       } catch {
         case _: UnrecognizedBlockId =>
+          logInfo("Skip due to UnrecognizedBlockId.")
         case _: FileExistsException =>
           // This may happen due to recompute, but we continue to recover next files
+          logInfo("Ignore due to FileExistsException.")
       }
     }
   }
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
index f3d45ced1bb65..d105ac0417182 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
@@ -17,8 +17,12 @@
 
 package org.apache.spark.shuffle
 
+import java.io.File
+import java.nio.file.Files
+
 import scala.concurrent.duration._
 
+import org.mockito.Mockito.{mock, when}
 import org.scalatest.concurrent.Eventually.{eventually, interval, timeout}
 
 import org.apache.spark.{LocalRootDirsTest, MapOutputTrackerMaster, SparkContext, SparkFunSuite, TestUtils}
@@ -26,6 +30,7 @@ import org.apache.spark.LocalSparkContext.withSpark
 import org.apache.spark.deploy.k8s.Config.KUBERNETES_DRIVER_REUSE_PVC
 import org.apache.spark.internal.config._
 import org.apache.spark.scheduler.cluster.StandaloneSchedulerBackend
+import org.apache.spark.storage.BlockManager
 
 class KubernetesLocalDiskShuffleDataIOSuite extends SparkFunSuite with LocalRootDirsTest {
 
@@ -219,4 +224,18 @@ class KubernetesLocalDiskShuffleDataIOSuite extends SparkFunSuite with LocalRoot
       }
     }
   }
+
+  test("SPARK-44501: Ignore checksum files") {
+    val sparkConf = conf.clone.set("spark.local.dir",
+      conf.get("spark.local.dir") + "/spark-x/executor-y")
+    val dir = sparkConf.get("spark.local.dir") + "/blockmgr-z/00"
+    Files.createDirectories(new File(dir).toPath())
+    Seq("ADLER32", "CRC32").foreach { algorithm =>
+      new File(dir, s"1.checksum.$algorithm").createNewFile()
+    }
+
+    val bm = mock(classOf[BlockManager])
+    when(bm.TempFileBasedBlockStoreUpdater).thenAnswer(_ => throw new Exception())
+    KubernetesLocalDiskShuffleExecutorComponents.recoverDiskStore(sparkConf, bm)
+  }
 }

From b2d9b62ea5a2da47e299e0dad4e6cf7e975cc661 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Fri, 21 Jul 2023 08:23:45 +0800
Subject: [PATCH 033/986] [SPARK-44292][SQL][FOLLOWUP] Make
 TYPE_CHECK_FAILURE_WITH_HINT use correct name

### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/41850 uses `TYPE_CHECK_FAILURE_WITH_HINT`, it should be `DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT`.

The first commit come from https://github.com/apache/spark/pull/34747.

### Why are the changes needed?
Fix a bug.

### Does this PR introduce _any_ user-facing change?
'No'.

### How was this patch tested?
N/A

Closes #42084 from beliefer/SPARK-44292_followup.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 325888bc521e80abde2ed88d2c82ba2337e8cc6f)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 7085a040d66c9..af9ea814a51da 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -279,7 +279,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
                 e.setTagValue(DATA_TYPE_MISMATCH_ERROR, true)
                 val extraHint = extraHintForAnsiTypeCoercionExpression(operator)
                 e.failAnalysis(
-                  errorClass = "TYPE_CHECK_FAILURE_WITH_HINT",
+                  errorClass = "DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT",
                   messageParameters = Map(
                     "expr" -> toSQLExpr(e),
                     "msg" -> message,

From 4c9e3eb5c640f861d385d1e5079d338cbd2d1c14 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 21 Jul 2023 09:44:45 +0900
Subject: [PATCH 034/986] [SPARK-44477][SQL] Treat TYPE_CHECK_FAILURE_WITH_HINT
 as an error subclass

### What changes were proposed in this pull request?

In `CheckAnalysis#checkAnalysis0`, qualify the error subclass `TYPE_CHECK_FAILURE_WITH_HINT` with the error class `DATATYPE_MISMATCH`.

### Why are the changes needed?

`CheckAnalysis` treats `TYPE_CHECK_FAILURE_WITH_HINT` as an error class, but it is actually an error subclass of `DATATYPE_MISMATCH`.
```
spark-sql (default)> select bitmap_count(12);
[INTERNAL_ERROR] Cannot find main error class 'TYPE_CHECK_FAILURE_WITH_HINT'
org.apache.spark.SparkException: [INTERNAL_ERROR] Cannot find main error class 'TYPE_CHECK_FAILURE_WITH_HINT'
	at org.apache.spark.SparkException$.internalError(SparkException.scala:83)
	at org.apache.spark.SparkException$.internalError(SparkException.scala:87)
	at org.apache.spark.ErrorClassesJsonReader.$anonfun$getMessageTemplate$1(ErrorClassesJSONReader.scala:68)
	at scala.collection.immutable.HashMap$HashMap1.getOrElse0(HashMap.scala:361)
	at scala.collection.immutable.HashMap$HashTrieMap.getOrElse0(HashMap.scala:594)
	at scala.collection.immutable.HashMap$HashTrieMap.getOrElse0(HashMap.scala:589)
	at scala.collection.immutable.HashMap.getOrElse(HashMap.scala:73)
```
This issue only occurs when an expression uses `TypeCheckResult.TypeCheckFailure` to indicate input type check failure. `TypeCheckResult.TypeCheckFailure` appears to be deprecated in favor of `TypeCheckResult.DataTypeMismatch`, but recently two expressions were added that use `TypeCheckResult.TypeCheckFailure`: `BitmapCount` and `BitmapOrAgg`.

`BitmapCount` and `BitmapOrAgg` should probably be fixed to use `TypeCheckResult.DataTypeMismatch`. Regardless, the code in `CheckAnalysis` that handles `TypeCheckResult.TypeCheckFailure` should either be fixed or removed. In this PR, I chose to fix it.

### Does this PR introduce _any_ user-facing change?

No, except for the user seeing the correct error message.

### How was this patch tested?

New unit test.

Closes #42064 from bersprockets/type_check_issue.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9619ada35059faf601ebefd5c225ae1ebf86f5ef)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/catalyst/analysis/CheckAnalysis.scala |  2 +-
 .../analysis/AnalysisErrorSuite.scala         | 32 +++++++++++++++++++
 2 files changed, 33 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index af9ea814a51da..d933ea26d5d99 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -281,7 +281,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
                 e.failAnalysis(
                   errorClass = "DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT",
                   messageParameters = Map(
-                    "expr" -> toSQLExpr(e),
+                    "sqlExpr" -> toSQLExpr(e),
                     "msg" -> message,
                     "hint" -> extraHint))
               case checkRes: TypeCheckResult.InvalidFormat =>
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index 6c43f84e8d0b7..e2e980073307d 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -94,6 +94,28 @@ case class TestFunction(
     copy(children = newChildren)
 }
 
+case class TestFunctionWithTypeCheckFailure(
+    children: Seq[Expression],
+    inputTypes: Seq[AbstractDataType])
+  extends Expression with Unevaluable {
+
+  override def checkInputDataTypes(): TypeCheckResult = {
+    for ((child, idx) <- children.zipWithIndex) {
+      val expectedDataType = inputTypes(idx)
+      if (child.dataType != expectedDataType) {
+        return TypeCheckResult.TypeCheckFailure(
+          s"Expression must be a ${expectedDataType.simpleString}")
+      }
+    }
+    TypeCheckResult.TypeCheckSuccess
+  }
+
+  override def nullable: Boolean = true
+  override def dataType: DataType = StringType
+  override protected def withNewChildrenInternal(newChildren: IndexedSeq[Expression]): Expression =
+    copy(children = newChildren)
+}
+
 case class UnresolvedTestPlan() extends UnresolvedLeafNode
 
 class AnalysisErrorSuite extends AnalysisTest {
@@ -168,6 +190,16 @@ class AnalysisErrorSuite extends AnalysisTest {
       "inputType" -> "\"DATE\"",
       "requiredType" -> "\"INT\""))
 
+  errorClassTest(
+    "SPARK-44477: type check failure",
+    testRelation.select(
+      TestFunctionWithTypeCheckFailure(dateLit :: Nil, BinaryType :: Nil).as("a")),
+    errorClass = "DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT",
+    messageParameters = Map(
+      "sqlExpr" -> "\"testfunctionwithtypecheckfailure(NULL)\"",
+      "msg" -> "Expression must be a binary",
+      "hint" -> ""))
+
   errorClassTest(
     "invalid window function",
     testRelation2.select(

From dae7a576ec7a103f2486fa4121731de0b1347a52 Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Fri, 21 Jul 2023 10:41:24 +0800
Subject: [PATCH 035/986] [SPARK-43952][SQL][FOLLOWUP] Correct AQE cancel
 broadcast job tag

### What changes were proposed in this pull request?

This pr changes `cancelJobGroup` to `cancelJobsWithTag ` in AQE, so that broadcast exchange can be cancelled correctly.

Since we do not set job id when executing broadcast job and use job tag to cancel it, this pr adds `jobTag` to `BroadcastExchangeLike`.

### Why are the changes needed?

fix regression

### Does this PR introduce _any_ user-facing change?

no, not released yet

### How was this patch tested?

test manully

```sql
select * from t1
join (select c1, java_method('java.lang.Thread', 'sleep', 5000l) from t2)t2 on t1.c1 = t2.c1
join (select c1, raise_error('force_fail') from t3)t3 on t1.c1 = t3.c1
```

before:
<img width="1194" alt="image" src="https://github.com/apache/spark/assets/12025282/55d218da-7289-404a-b201-1ea9f4902026">

after:
<img width="1202" alt="image" src="https://github.com/apache/spark/assets/12025282/9b293d1f-01d6-43e2-9c1a-20540f58c3e5">

Closes #41979 from ulysses-you/jobtag-followup.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: Xiduo You <ulyssesyou@apache.org>
(cherry picked from commit 99f9df564ef3f3223b4789d111426d5be5854c4a)
Signed-off-by: Xiduo You <ulyssesyou@apache.org>
---
 .../sql/execution/adaptive/QueryStageExec.scala    |  2 +-
 .../execution/exchange/BroadcastExchangeExec.scala | 14 +++++++-------
 .../spark/sql/SparkSessionExtensionSuite.scala     |  2 +-
 3 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
index d48b4fe175174..c6234a4072604 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
@@ -250,7 +250,7 @@ case class BroadcastQueryStageExec(
 
   override def cancel(): Unit = {
     if (!broadcast.relationFuture.isDone) {
-      sparkContext.cancelJobGroup(broadcast.runId.toString)
+      sparkContext.cancelJobsWithTag(broadcast.jobTag)
       broadcast.relationFuture.cancel(true)
     }
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/BroadcastExchangeExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/BroadcastExchangeExec.scala
index 15141b09b6c07..866a62a3a0776 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/BroadcastExchangeExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/BroadcastExchangeExec.scala
@@ -45,9 +45,14 @@ import org.apache.spark.util.{SparkFatalException, ThreadUtils}
 trait BroadcastExchangeLike extends Exchange {
 
   /**
-   * The broadcast job group ID
+   * The broadcast run ID in job tag
    */
-  def runId: UUID = UUID.randomUUID
+  val runId: UUID = UUID.randomUUID
+
+  /**
+   * The broadcast job tag
+   */
+  def jobTag: String = s"broadcast exchange (runId ${runId.toString})"
 
   /**
    * The asynchronous job that prepares the broadcast relation.
@@ -80,8 +85,6 @@ case class BroadcastExchangeExec(
     child: SparkPlan) extends BroadcastExchangeLike {
   import BroadcastExchangeExec._
 
-  override val runId: UUID = UUID.randomUUID
-
   override lazy val metrics = Map(
     "dataSize" -> SQLMetrics.createSizeMetric(sparkContext, "data size"),
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"),
@@ -124,9 +127,6 @@ case class BroadcastExchangeExec(
     case _ => 512000000
   }
 
-  @transient
-  private lazy val jobTag = s"broadcast exchange (runId ${runId.toString})"
-
   @transient
   override lazy val relationFuture: Future[broadcast.Broadcast[Any]] = {
     SQLExecution.withThreadLocalCaptured[broadcast.Broadcast[Any]](
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
index 87237f467fcba..043a3b1a7e58f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
@@ -1003,7 +1003,7 @@ case class MyShuffleExchangeExec(delegate: ShuffleExchangeExec) extends ShuffleE
  * whether AQE is enabled.
  */
 case class MyBroadcastExchangeExec(delegate: BroadcastExchangeExec) extends BroadcastExchangeLike {
-  override def runId: UUID = delegate.runId
+  override val runId: UUID = delegate.runId
   override def relationFuture: java.util.concurrent.Future[Broadcast[Any]] =
     delegate.relationFuture
   override def completionFuture: Future[Broadcast[Any]] = delegate.submitBroadcastJob

From 57dcc373a1bc02d63db2dc87f99bee45569735f7 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Fri, 21 Jul 2023 12:09:59 +0900
Subject: [PATCH 036/986] [SPARK-44502][DOC][SS][PYTHON] Add missing
 versionchanged field to streaming functions

Add missing doc field

Better doc

No

Don't need

Closes #42097 from WweiL/SPARK-44502-doc.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f1e310b84d5f1d2bde1bbafbb737a9cc612d573a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/dataframe.py            |  3 +
 python/pyspark/sql/streaming/query.py      | 51 +++++++++++++++++
 python/pyspark/sql/streaming/readwriter.py | 66 ++++++++++++++++++++++
 3 files changed, 120 insertions(+)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 99eb2a48bb21c..8e655dc3a88e5 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -1052,6 +1052,9 @@ def withWatermark(self, eventTime: str, delayThreshold: str) -> "DataFrame":
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         eventTime : str
diff --git a/python/pyspark/sql/streaming/query.py b/python/pyspark/sql/streaming/query.py
index 6d18c93f0191d..443e7dbee39b7 100644
--- a/python/pyspark/sql/streaming/query.py
+++ b/python/pyspark/sql/streaming/query.py
@@ -58,6 +58,9 @@ def id(self) -> str:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         str
@@ -85,6 +88,9 @@ def runId(self) -> str:
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         str
@@ -114,6 +120,9 @@ def name(self) -> str:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         str
@@ -140,6 +149,9 @@ def isActive(self) -> bool:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         bool
@@ -171,6 +183,9 @@ def awaitTermination(self, timeout: Optional[int] = None) -> Optional[bool]:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         timeout : int, optional
@@ -212,6 +227,9 @@ def status(self) -> Dict[str, Any]:
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         dict
@@ -240,6 +258,9 @@ def recentProgress(self) -> List[Dict[str, Any]]:
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         list
@@ -268,6 +289,9 @@ def lastProgress(self) -> Optional[Dict[str, Any]]:
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         dict, optional
@@ -297,6 +321,9 @@ def processAllAvailable(self) -> None:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         In the case of continually arriving data, this method may block forever.
@@ -325,6 +352,9 @@ def stop(self) -> None:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Examples
         --------
         >>> sdf = spark.readStream.format("rate").load()
@@ -347,6 +377,9 @@ def explain(self, extended: bool = False) -> None:
 
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         extended : bool, optional
@@ -387,6 +420,9 @@ def exception(self) -> Optional[StreamingQueryException]:
         """
         .. versionadded:: 2.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         :class:`StreamingQueryException`
@@ -406,6 +442,9 @@ class StreamingQueryManager:
 
     .. versionadded:: 2.0.0
 
+    .. versionchanged:: 3.5.0
+        Supports Spark Connect.
+
     Notes
     -----
     This API is evolving.
@@ -421,6 +460,9 @@ def active(self) -> List[StreamingQuery]:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         list
@@ -451,6 +493,9 @@ def get(self, id: str) -> Optional[StreamingQuery]:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         id : str
@@ -513,6 +558,9 @@ def awaitAnyTermination(self, timeout: Optional[int] = None) -> Optional[bool]:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         timeout : int, optional
@@ -554,6 +602,9 @@ def resetTerminated(self) -> None:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Examples
         --------
         >>> spark.streams.resetTerminated()
diff --git a/python/pyspark/sql/streaming/readwriter.py b/python/pyspark/sql/streaming/readwriter.py
index 3547dd060f63d..08d7396ba864a 100644
--- a/python/pyspark/sql/streaming/readwriter.py
+++ b/python/pyspark/sql/streaming/readwriter.py
@@ -87,6 +87,9 @@ def format(self, source: str) -> "DataStreamReader":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         source : str
@@ -128,6 +131,9 @@ def schema(self, schema: Union[StructType, str]) -> "DataStreamReader":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         schema : :class:`pyspark.sql.types.StructType` or str
@@ -177,6 +183,9 @@ def option(self, key: str, value: "OptionalPrimitiveType") -> "DataStreamReader"
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -203,6 +212,9 @@ def options(self, **options: "OptionalPrimitiveType") -> "DataStreamReader":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -238,6 +250,9 @@ def load(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         path : str, optional
@@ -324,6 +339,9 @@ def json(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         path : str
@@ -407,6 +425,9 @@ def orc(
 
         .. versionadded:: 2.3.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Other Parameters
         ----------------
         Extra options
@@ -458,6 +479,9 @@ def parquet(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         path : str
@@ -521,6 +545,9 @@ def text(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         path : str or list
@@ -619,6 +646,9 @@ def csv(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Other Parameters
         ----------------
         Extra options
@@ -695,6 +725,9 @@ def table(self, tableName: str) -> "DataFrame":
 
         .. versionadded:: 3.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         tableName : str
@@ -745,6 +778,9 @@ class DataStreamWriter:
 
     .. versionadded:: 2.0.0
 
+    .. versionchanged:: 3.5.0
+        Supports Spark Connect.
+
     Notes
     -----
     This API is evolving.
@@ -776,6 +812,9 @@ def outputMode(self, outputMode: str) -> "DataStreamWriter":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Options include:
 
         * `append`: Only the new rows in the streaming DataFrame/Dataset will be written to
@@ -818,6 +857,9 @@ def format(self, source: str) -> "DataStreamWriter":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         source : str
@@ -857,6 +899,9 @@ def option(self, key: str, value: "OptionalPrimitiveType") -> "DataStreamWriter"
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -885,6 +930,9 @@ def options(self, **options: "OptionalPrimitiveType") -> "DataStreamWriter":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -925,6 +973,9 @@ def partitionBy(self, *cols: str) -> "DataStreamWriter":  # type: ignore[misc]
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         cols : str or list
@@ -968,6 +1019,9 @@ def queryName(self, queryName: str) -> "DataStreamWriter":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         queryName : str
@@ -1023,6 +1077,9 @@ def trigger(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         processingTime : str, optional
@@ -1280,6 +1337,9 @@ def foreach(self, f: Union[Callable[[Row], None], "SupportsProcess"]) -> "DataSt
 
         .. versionadded:: 2.4.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -1388,6 +1448,9 @@ def start(
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         path : str, optional
@@ -1473,6 +1536,9 @@ def toTable(
 
         .. versionadded:: 3.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         tableName : str

From 40f30dd036c7df949ce11c59a009bd8ebafe1f0d Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 21 Jul 2023 12:21:14 +0800
Subject: [PATCH 037/986] [SPARK-43966][SQL][PYTHON] Support non-deterministic
 table-valued functions

### What changes were proposed in this pull request?

This PR supports non-deterministic table-valued functions. More specifically, it supports running non-deterministic Python UDTFs and built-in table-valued generator functions with non-deterministic input values.

### Why are the changes needed?

To make table-valued functions more versatile.

### Does this PR introduce _any_ user-facing change?

Yes. Before this PR, Spark will throw an exception when running a non-deterministic Python UDTF:
```
select * from random_udtf(1)
AnalysisException: [INVALID_NON_DETERMINISTIC_EXPRESSIONS] The operator expects a deterministic expression,
```

After this PR, it is supported.

### How was this patch tested?

Existing and new unit tests.

Closes #42075 from allisonwang-db/spark-43966-non-det-udtf.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 1fb3e16a48d826aed1ca9688a661281f750bbf5a)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 python/pyspark/sql/tests/test_udtf.py          | 18 ++++++------------
 .../sql/catalyst/analysis/CheckAnalysis.scala  |  1 +
 .../table-valued-functions.sql.out             |  6 ++++++
 .../inputs/table-valued-functions.sql          |  3 +++
 .../results/table-valued-functions.sql.out     |  8 ++++++++
 5 files changed, 24 insertions(+), 12 deletions(-)

diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index ec3379accca60..2c76d2f7e152e 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -355,14 +355,12 @@ def test_nondeterministic_udtf(self):
 
         class RandomUDTF:
             def eval(self, a: int):
-                yield a * int(random.random() * 100),
+                yield a + int(random.random()),
 
         random_udtf = udtf(RandomUDTF, returnType="x: int").asNondeterministic()
-        # TODO(SPARK-43966): support non-deterministic UDTFs
-        with self.assertRaisesRegex(
-            AnalysisException, "The operator expects a deterministic expression"
-        ):
-            random_udtf(lit(1)).collect()
+        assertDataFrameEqual(random_udtf(lit(1)), [Row(x=1)])
+        self.spark.udtf.register("random_udtf", random_udtf)
+        assertDataFrameEqual(self.spark.sql("select * from random_udtf(1)"), [Row(x=1)])
 
     def test_udtf_with_nondeterministic_input(self):
         from pyspark.sql.functions import rand
@@ -370,13 +368,9 @@ def test_udtf_with_nondeterministic_input(self):
         @udtf(returnType="x: int")
         class TestUDTF:
             def eval(self, a: int):
-                yield a + 1,
+                yield 1 if a > 100 else 0,
 
-        # TODO(SPARK-43966): support non-deterministic UDTFs
-        with self.assertRaisesRegex(
-            AnalysisException, " The operator expects a deterministic expression"
-        ):
-            TestUDTF(rand(0) * 100).collect()
+        assertDataFrameEqual(TestUDTF(rand(0) * 100), [Row(x=0)])
 
     def test_udtf_with_invalid_return_type(self):
         @udtf(returnType="int")
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index d933ea26d5d99..e198fd58953dd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -752,6 +752,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
             !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
             !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] &&
             !o.isInstanceOf[Expand] &&
+            !o.isInstanceOf[Generate] &&
             // Lateral join is checked in checkSubqueryExpression.
             !o.isInstanceOf[LateralJoin] =>
             // The rule above is used to check Aggregate operator.
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
index 49ad4bf19f76b..6c29a0ec1db77 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
@@ -205,6 +205,12 @@ Project [k#x, v#x]
          +- OneRowRelation
 
 
+-- !query
+select * from explode(array(rand(0)))
+-- !query analysis
+[Analyzer test output redacted due to nondeterminism]
+
+
 -- !query
 select * from explode(null)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql b/sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql
index 2b809f9a7c8a2..79d427bc2099d 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql
@@ -43,6 +43,9 @@ select * from explode(map());
 select * from explode(array(1, 2)) t(c1);
 select * from explode(map('a', 1, 'b', 2)) t(k, v);
 
+-- explode with non-deterministic values
+select * from explode(array(rand(0)));
+
 -- explode with erroneous input
 select * from explode(null);
 select * from explode(null) t(c1);
diff --git a/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
index 578461d164a1b..1348110a83a37 100644
--- a/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
@@ -242,6 +242,14 @@ a	1
 b	2
 
 
+-- !query
+select * from explode(array(rand(0)))
+-- !query schema
+struct<col:double>
+-- !query output
+0.7604953758285915
+
+
 -- !query
 select * from explode(null)
 -- !query schema

From 86237bba2625ad0cf5325c85e342e6230d7a0699 Mon Sep 17 00:00:00 2001
From: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Date: Fri, 21 Jul 2023 13:46:01 +0900
Subject: [PATCH 038/986] [SPARK-44504][SS] Unload provider thereby forcing DB
 instance close and releasing resources on maintenance task error

### What changes were proposed in this pull request?
Unload provider thereby forcing DB instance close and releasing resources on maintenance task error

### Why are the changes needed?
If we don't do the close, the DB instance and corresponding resources (memory, file descriptors etc) are always left open and the pointer to these objects is lost since loadedProviders is cleared.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing unit tests

```
), ForkJoinPool.commonPool-worker-5 (daemon=true), ForkJoinPool.commonPool-worker-17 (daemon=true), shuffle-boss-6-1 (daemon=true), ForkJoinPool.commonPool-worker-3 (daemon=true), ForkJoinPool.commonPool-worker-31 (daemon=true), ForkJoinPool.commonPool-worker-23 (daemon=true), state-store-maintenance-task (daemon=true), ForkJoinPool.commonPool-worker-9 (daemon=true) =====
[info] Run completed in 2 minutes, 49 seconds.
[info] Total number of tests run: 32
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 32, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
```

Closes #42098 from anishshri-db/task/SPARK-44504.

Authored-by: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../apache/spark/sql/execution/streaming/state/RocksDB.scala  | 4 ++++
 .../spark/sql/execution/streaming/state/StateStore.scala      | 3 +++
 2 files changed, 7 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
index 65299ea37eff2..386df61a9e08f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
@@ -462,6 +462,8 @@ class RocksDB(
   /** Release all resources */
   def close(): Unit = {
     try {
+      // Acquire DB instance lock and release at the end to allow for synchronized access
+      acquire()
       closeDB()
 
       readOptions.close()
@@ -476,6 +478,8 @@ class RocksDB(
     } catch {
       case e: Exception =>
         logWarning("Error closing RocksDB", e)
+    } finally {
+      release()
     }
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala
index 96c7b61f2057f..8a09b226a0cc0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala
@@ -611,6 +611,9 @@ object StateStore extends Logging {
           onError = { loadedProviders.synchronized {
               logInfo("Stopping maintenance task since an error was encountered.")
               stopMaintenanceTask()
+              // SPARK-44504 - Unload explicitly to force closing underlying DB instance
+              // and releasing allocated resources, especially for RocksDBStateStoreProvider.
+              loadedProviders.keySet.foreach { key => unload(key) }
               loadedProviders.clear()
             }
           }

From e8dd144abcab58870aa730517b6cea5121b5868e Mon Sep 17 00:00:00 2001
From: Venki Korukanti <venki.korukanti@gmail.com>
Date: Fri, 21 Jul 2023 13:16:23 +0800
Subject: [PATCH 039/986] [SPARK-39634][SQL] Allow file splitting in
 combination with row index generation

### What changes were proposed in this pull request?
- Parquet version `1.13.1` has a fix for [PARQUET-2161](https://issues.apache.org/jira/browse/PARQUET-2161) which allows splitting the parquet files when row index metadata column is selected. Currently the file splitting is disabled. Enable file splitting with row index column.

### Why are the changes needed?
Splitting parquet files allows better parallelization when row index metadata column is selected.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Uncomment the existing unittests.

Closes #40728 from vkorukanti/SPARK-39634.

Authored-by: Venki Korukanti <venki.korukanti@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 679ea56dc8be7566c32a606639aa052421136afc)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/execution/DataSourceScanExec.scala   | 8 ++------
 .../datasources/parquet/ParquetRowIndexUtil.scala         | 4 ----
 .../execution/datasources/v2/parquet/ParquetScan.scala    | 7 ++-----
 .../datasources/parquet/ParquetRowIndexSuite.scala        | 5 +----
 4 files changed, 5 insertions(+), 19 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
index 243aaabc0cbdd..6375cdacaa07e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, Partition
 import org.apache.spark.sql.catalyst.util.{truncatedString, CaseInsensitiveMap}
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution.datasources._
-import org.apache.spark.sql.execution.datasources.parquet.{ParquetFileFormat => ParquetSource, ParquetRowIndexUtil}
+import org.apache.spark.sql.execution.datasources.parquet.{ParquetFileFormat => ParquetSource}
 import org.apache.spark.sql.execution.datasources.v2.PushedDownOperators
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
 import org.apache.spark.sql.execution.vectorized.ConstantColumnVector
@@ -691,11 +691,7 @@ case class FileSourceScanExec(
       partition.files.flatMap { file =>
         if (shouldProcess(file.getPath)) {
           val isSplitable = relation.fileFormat.isSplitable(
-              relation.sparkSession, relation.options, file.getPath) &&
-            // SPARK-39634: Allow file splitting in combination with row index generation once
-            // the fix for PARQUET-2161 is available.
-            (!relation.fileFormat.isInstanceOf[ParquetSource]
-              || !ParquetRowIndexUtil.isNeededForSchema(requiredSchema))
+              relation.sparkSession, relation.options, file.getPath)
           PartitionedFileUtil.splitFiles(
             sparkSession = relation.sparkSession,
             file = file,
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexUtil.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexUtil.scala
index b1cd2ebee4265..a5d8494cfa77c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexUtil.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexUtil.scala
@@ -126,10 +126,6 @@ object ParquetRowIndexUtil {
     }
   }
 
-  def isNeededForSchema(sparkSchema: StructType): Boolean = {
-    findRowIndexColumnIndexInSchema(sparkSchema) >= 0
-  }
-
   def isRowIndexColumn(column: ParquetColumn): Boolean = {
     column.path.length == 1 && column.path.last == ParquetFileFormat.ROW_INDEX_TEMPORARY_COLUMN_NAME
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScan.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScan.scala
index c7819d39cbcd5..0e77b419ff524 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScan.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScan.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.expressions.Expression
 import org.apache.spark.sql.connector.expressions.aggregate.Aggregation
 import org.apache.spark.sql.connector.read.PartitionReaderFactory
 import org.apache.spark.sql.execution.datasources.{AggregatePushDownUtils, PartitioningAwareFileIndex}
-import org.apache.spark.sql.execution.datasources.parquet.{ParquetOptions, ParquetReadSupport, ParquetRowIndexUtil, ParquetWriteSupport}
+import org.apache.spark.sql.execution.datasources.parquet.{ParquetOptions, ParquetReadSupport, ParquetWriteSupport}
 import org.apache.spark.sql.execution.datasources.v2.FileScan
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.sources.Filter
@@ -50,10 +50,7 @@ case class ParquetScan(
   override def isSplitable(path: Path): Boolean = {
     // If aggregate is pushed down, only the file footer will be read once,
     // so file should not be split across multiple tasks.
-    pushedAggregate.isEmpty &&
-      // SPARK-39634: Allow file splitting in combination with row index generation once
-      // the fix for PARQUET-2161 is available.
-      !ParquetRowIndexUtil.isNeededForSchema(readSchema)
+    pushedAggregate.isEmpty
   }
 
   override def readSchema(): StructType = {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
index dd350ffd31510..27c2a2148fd3b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
@@ -249,10 +249,7 @@ class ParquetRowIndexSuite extends QueryTest with SharedSparkSession {
           assert(numOutputRows > 0)
 
           if (conf.useSmallSplits) {
-            // SPARK-39634: Until the fix the fix for PARQUET-2161 is available is available,
-            // it is not possible to split Parquet files into multiple partitions while generating
-            // row indexes.
-            // assert(numPartitions >= 2 * conf.numFiles)
+            assert(numPartitions >= 2 * conf.numFiles)
           }
 
           // Assert that every rowIdx value matches the value in `expectedRowIdx`.

From cc58fe3efe97417cc8c03e926895f48c2abb669d Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 21 Jul 2023 14:23:47 +0900
Subject: [PATCH 040/986] [SPARK-44422][CONNECT] Spark Connect fine grained
 interrupt

### What changes were proposed in this pull request?

Currently, Spark Connect only allows to cancel all operations in a session by using SparkSession.interruptAll().
In this PR we are adding a mechanism to interrupt by tag (similar to SparkContext.cancelJobsWithTag), and to interrupt individual operations.

Also, add the new tags to SparkListenerConnectOperationStarted.

### Why are the changes needed?

Better control of query cancelation in Spark Connect

### Does this PR introduce _any_ user-facing change?

Yes. New Apis in Spark Connect scala client:
```
SparkSession.addTag
SparkSession.removeTag
SparkSession.getTags
SparkSession.clearTags
SparkSession.interruptTag
SparkSession.interruptOperation
```
and also `SparkResult.operationId`, to be able to get the id for `SparkSession.interruptOperation`.

Python client APIs will be added in a followup PR.

### How was this patch tested?

Added tests in SparkSessionE2ESuite.

Closes #42009 from juliuszsompolski/sc-fine-grained-cancel.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit dda37841189a753d7a31d22e091b51903f6cd624)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../main/resources/error/error-classes.json   |  18 ++
 .../org/apache/spark/sql/SparkSession.scala   |  80 ++++++++-
 .../connect/client/SparkConnectClient.scala   |  58 +++++++
 .../sql/connect/client/SparkResult.scala      |  27 +++
 .../spark/sql/SparkSessionE2ESuite.scala      | 154 +++++++++++++++++-
 .../CheckConnectJvmClientCompatibility.scala  |  12 ++
 .../main/protobuf/spark/connect/base.proto    |  37 ++++-
 .../spark/sql/connect/common/ProtoUtils.scala |  24 +++
 .../execution/ExecuteResponseObserver.scala   |  25 ++-
 .../execution/ExecuteThreadRunner.scala       |  25 ++-
 .../service/ExecuteEventsManager.scala        |   8 +-
 .../sql/connect/service/ExecuteHolder.scala   |  36 +++-
 .../sql/connect/service/SessionHolder.scala   |  75 +++++++--
 .../SparkConnectInterruptHandler.scala        |  24 ++-
 .../service/ExecuteEventsManagerSuite.scala   |   1 +
 .../scala/org/apache/spark/SparkContext.scala |   1 +
 ...r-conditions-invalid-handle-error-class.md |  36 ++++
 docs/sql-error-conditions.md                  |   8 +
 python/pyspark/sql/connect/proto/base_pb2.py  | 144 ++++++++--------
 python/pyspark/sql/connect/proto/base_pb2.pyi |  93 ++++++++++-
 20 files changed, 778 insertions(+), 108 deletions(-)
 create mode 100644 docs/sql-error-conditions-invalid-handle-error-class.md

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index b136878e6d2c0..d61b17216641f 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -1383,6 +1383,24 @@
     ],
     "sqlState" : "22023"
   },
+  "INVALID_HANDLE" : {
+    "message" : [
+      "The handle <handle> is invalid."
+    ],
+    "subClass" : {
+      "ALREADY_EXISTS" : {
+        "message" : [
+          "Handle already exists."
+        ]
+      },
+      "FORMAT" : {
+        "message" : [
+          "Handle has invalid format. Handle must an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'"
+        ]
+      }
+    },
+    "sqlState" : "HY000"
+  },
   "INVALID_HIVE_COLUMN_NAME" : {
     "message" : [
       "Cannot create the table <tableName> having the nested column <columnName> whose name contains invalid characters <invalidChars> in Hive metastore."
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index fb9959c994289..b37e3884038b2 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -613,14 +613,40 @@ class SparkSession private[sql] (
   /**
    * Interrupt all operations of this session currently running on the connected server.
    *
-   * TODO/WIP: Currently it will interrupt the Spark Jobs running on the server, triggered from
-   * ExecutePlan requests. If an operation is not running a Spark Job, it becomes an noop and the
-   * operation will continue afterwards, possibly with more Spark Jobs.
+   * @return
+   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   operation finishing just as it is interrupted.
    *
    * @since 3.5.0
    */
-  def interruptAll(): Unit = {
-    client.interruptAll()
+  def interruptAll(): Seq[String] = {
+    client.interruptAll().getInterruptedIdsList.asScala.toSeq
+  }
+
+  /**
+   * Interrupt all operations of this session with the given operation tag.
+   *
+   * @return
+   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   operation finishing just as it is interrupted.
+   *
+   * @since 3.5.0
+   */
+  def interruptTag(tag: String): Seq[String] = {
+    client.interruptTag(tag).getInterruptedIdsList.asScala.toSeq
+  }
+
+  /**
+   * Interrupt an operation of this session with the given operationId.
+   *
+   * @return
+   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   operation finishing just as it is interrupted.
+   *
+   * @since 3.5.0
+   */
+  def interruptOperation(operationId: String): Seq[String] = {
+    client.interruptOperation(operationId).getInterruptedIdsList.asScala.toSeq
   }
 
   /**
@@ -641,6 +667,50 @@ class SparkSession private[sql] (
     allocator.close()
     SparkSession.onSessionClose(this)
   }
+
+  /**
+   * Add a tag to be assigned to all the operations started by this thread in this session.
+   *
+   * @param tag
+   *   The tag to be added. Cannot contain ',' (comma) character or be an empty string.
+   *
+   * @since 3.5.0
+   */
+  def addTag(tag: String): Unit = {
+    client.addTag(tag)
+  }
+
+  /**
+   * Remove a tag previously added to be assigned to all the operations started by this thread in
+   * this session. Noop if such a tag was not added earlier.
+   *
+   * @param tag
+   *   The tag to be removed. Cannot contain ',' (comma) character or be an empty string.
+   *
+   * @since 3.5.0
+   */
+  def removeTag(tag: String): Unit = {
+    client.removeTag(tag)
+  }
+
+  /**
+   * Get the tags that are currently set to be assigned to all the operations started by this
+   * thread.
+   *
+   * @since 3.5.0
+   */
+  def getTags(): Set[String] = {
+    client.getTags()
+  }
+
+  /**
+   * Clear the current thread's operation tags.
+   *
+   * @since 3.5.0
+   */
+  def clearTags(): Unit = {
+    client.clearTags()
+  }
 }
 
 // The minimal builder needed to create a spark session.
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index b41ae5555bf3a..d03d27a6f53d5 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -21,11 +21,15 @@ import java.net.URI
 import java.util.UUID
 import java.util.concurrent.Executor
 
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
 import com.google.protobuf.ByteString
 import io.grpc._
 
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.UserContext
+import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.common.config.ConnectCommon
 
 /**
@@ -76,6 +80,7 @@ private[sql] class SparkConnectClient(
       .setUserContext(userContext)
       .setSessionId(sessionId)
       .setClientType(userAgent)
+      .addAllTags(tags.get.toSeq.asJava)
       .build()
     bstub.executePlan(request)
   }
@@ -195,6 +200,59 @@ private[sql] class SparkConnectClient(
     bstub.interrupt(request)
   }
 
+  private[sql] def interruptTag(tag: String): proto.InterruptResponse = {
+    val builder = proto.InterruptRequest.newBuilder()
+    val request = builder
+      .setUserContext(userContext)
+      .setSessionId(sessionId)
+      .setClientType(userAgent)
+      .setInterruptType(proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_TAG)
+      .setOperationTag(tag)
+      .build()
+    bstub.interrupt(request)
+  }
+
+  private[sql] def interruptOperation(id: String): proto.InterruptResponse = {
+    val builder = proto.InterruptRequest.newBuilder()
+    val request = builder
+      .setUserContext(userContext)
+      .setSessionId(sessionId)
+      .setClientType(userAgent)
+      .setInterruptType(proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_OPERATION_ID)
+      .setOperationId(id)
+      .build()
+    bstub.interrupt(request)
+  }
+
+  private[this] val tags = new InheritableThreadLocal[mutable.Set[String]] {
+    override def childValue(parent: mutable.Set[String]): mutable.Set[String] = {
+      // Note: make a clone such that changes in the parent tags aren't reflected in
+      // those of the children threads.
+      parent.clone()
+    }
+    override protected def initialValue(): mutable.Set[String] = new mutable.HashSet[String]()
+  }
+
+  private[sql] def addTag(tag: String): Unit = {
+    // validation is also done server side, but this will give error earlier.
+    ProtoUtils.throwIfInvalidTag(tag)
+    tags.get += tag
+  }
+
+  private[sql] def removeTag(tag: String): Unit = {
+    // validation is also done server side, but this will give error earlier.
+    ProtoUtils.throwIfInvalidTag(tag)
+    tags.get.remove(tag)
+  }
+
+  private[sql] def getTags(): Set[String] = {
+    tags.get.toSet
+  }
+
+  private[sql] def clearTags(): Unit = {
+    tags.get.clear()
+  }
+
   def copy(): SparkConnectClient = configuration.toSparkConnectClient
 
   /**
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index 1cdc2035de60b..eed8bd3f37d90 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -40,6 +40,7 @@ private[sql] class SparkResult[T](
     extends AutoCloseable
     with Cleanable { self =>
 
+  private[this] var opId: String = _
   private[this] var numRecords: Int = 0
   private[this] var structType: StructType = _
   private[this] var arrowSchema: pojo.Schema = _
@@ -72,6 +73,7 @@ private[sql] class SparkResult[T](
   }
 
   private def processResponses(
+      stopOnOperationId: Boolean = false,
       stopOnSchema: Boolean = false,
       stopOnArrowSchema: Boolean = false,
       stopOnFirstNonEmptyResponse: Boolean = false): Boolean = {
@@ -79,6 +81,20 @@ private[sql] class SparkResult[T](
     var stop = false
     while (!stop && responses.hasNext) {
       val response = responses.next()
+
+      // Save and validate operationId
+      if (opId == null) {
+        opId = response.getOperationId
+      }
+      if (opId != response.getOperationId) {
+        // backwards compatibility:
+        // response from an old server without operationId field would have getOperationId == "".
+        throw new IllegalStateException(
+          "Received response with wrong operationId. " +
+            s"Expected '$opId' but received '${response.getOperationId}'.")
+      }
+      stop |= stopOnOperationId
+
       if (response.hasSchema) {
         // The original schema should arrive before ArrowBatches.
         structType =
@@ -148,6 +164,17 @@ private[sql] class SparkResult[T](
     structType
   }
 
+  /**
+   * @return
+   *   the operationId of the result.
+   */
+  def operationId: String = {
+    if (opId == null) {
+      processResponses(stopOnOperationId = true)
+    }
+    opId
+  }
+
   /**
    * Create an Array with the contents of the result.
    */
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
index 70eeb6c2c41df..5afafaaa6b92f 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
@@ -16,6 +16,7 @@
  */
 package org.apache.spark.sql
 
+import scala.collection.mutable
 import scala.concurrent.{ExecutionContext, ExecutionContextExecutor, Future}
 import scala.concurrent.duration._
 import scala.util.{Failure, Success}
@@ -64,13 +65,16 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     }
     // 20 seconds is < 30 seconds the queries should be running,
     // because it should be interrupted sooner
+    val interrupted = mutable.ListBuffer[String]()
     eventually(timeout(20.seconds), interval(1.seconds)) {
       // keep interrupting every second, until both queries get interrupted.
-      spark.interruptAll()
+      val ids = spark.interruptAll()
+      interrupted ++= ids
       assert(error.isEmpty, s"Error not empty: $error")
       assert(q1Interrupted)
       assert(q2Interrupted)
     }
+    assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
   }
 
   test("interrupt all - foreground queries, background interrupt") {
@@ -79,9 +83,12 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     implicit val ec: ExecutionContextExecutor = ExecutionContext.global
 
     @volatile var finished = false
+    val interrupted = mutable.ListBuffer[String]()
+
     val interruptor = Future {
       eventually(timeout(20.seconds), interval(1.seconds)) {
-        spark.interruptAll()
+        val ids = spark.interruptAll()
+        interrupted ++= ids
         assert(finished)
       }
       finished
@@ -96,5 +103,148 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     assert(e2.getMessage.contains("OPERATION_CANCELED"), s"Unexpected exception: $e2")
     finished = true
     assert(ThreadUtils.awaitResult(interruptor, 10.seconds))
+    assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
+  }
+
+  test("interrupt tag") {
+    val session = spark
+    import session.implicits._
+
+    // global ExecutionContext has only 2 threads in Apache Spark CI
+    // create own thread pool for four Futures used in this test
+    val numThreads = 4
+    val fpool = ThreadUtils.newForkJoinPool("job-tags-test-thread-pool", numThreads)
+    val executionContext = ExecutionContext.fromExecutorService(fpool)
+
+    val q1 = Future {
+      assert(spark.getTags() == Set())
+      spark.addTag("two")
+      assert(spark.getTags() == Set("two"))
+      spark.clearTags() // check that clearing all tags works
+      assert(spark.getTags() == Set())
+      spark.addTag("one")
+      assert(spark.getTags() == Set("one"))
+      try {
+        spark
+          .range(10)
+          .map(n => {
+            Thread.sleep(30000); n
+          })
+          .collect()
+      } finally {
+        spark.clearTags() // clear for the case of thread reuse by another Future
+      }
+    }(executionContext)
+    val q2 = Future {
+      assert(spark.getTags() == Set())
+      spark.addTag("one")
+      spark.addTag("two")
+      spark.addTag("one")
+      spark.addTag("two") // duplicates shouldn't matter
+      assert(spark.getTags() == Set("one", "two"))
+      try {
+        spark
+          .range(10)
+          .map(n => {
+            Thread.sleep(30000); n
+          })
+          .collect()
+      } finally {
+        spark.clearTags() // clear for the case of thread reuse by another Future
+      }
+    }(executionContext)
+    val q3 = Future {
+      assert(spark.getTags() == Set())
+      spark.addTag("foo")
+      spark.removeTag("foo")
+      assert(spark.getTags() == Set()) // check that remove works removing the last tag
+      spark.addTag("two")
+      assert(spark.getTags() == Set("two"))
+      try {
+        spark
+          .range(10)
+          .map(n => {
+            Thread.sleep(30000); n
+          })
+          .collect()
+      } finally {
+        spark.clearTags() // clear for the case of thread reuse by another Future
+      }
+    }(executionContext)
+    val q4 = Future {
+      assert(spark.getTags() == Set())
+      spark.addTag("one")
+      spark.addTag("two")
+      spark.addTag("two")
+      assert(spark.getTags() == Set("one", "two"))
+      spark.removeTag("two") // check that remove works, despite duplicate add
+      assert(spark.getTags() == Set("one"))
+      try {
+        spark
+          .range(10)
+          .map(n => {
+            Thread.sleep(30000); n
+          })
+          .collect()
+      } finally {
+        spark.clearTags() // clear for the case of thread reuse by another Future
+      }
+    }(executionContext)
+    val interrupted = mutable.ListBuffer[String]()
+
+    // q2 and q3 should be cancelled
+    interrupted.clear()
+    eventually(timeout(20.seconds), interval(1.seconds)) {
+      val ids = spark.interruptTag("two")
+      interrupted ++= ids
+      assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
+    }
+    val e2 = intercept[SparkException] {
+      ThreadUtils.awaitResult(q2, 1.minute)
+    }
+    assert(e2.getCause.getMessage contains "OPERATION_CANCELED")
+    val e3 = intercept[SparkException] {
+      ThreadUtils.awaitResult(q3, 1.minute)
+    }
+    assert(e3.getCause.getMessage contains "OPERATION_CANCELED")
+    assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
+
+    // q1 and q4 should be cancelled
+    interrupted.clear()
+    eventually(timeout(20.seconds), interval(1.seconds)) {
+      val ids = spark.interruptTag("one")
+      interrupted ++= ids
+      assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
+    }
+    val e1 = intercept[SparkException] {
+      ThreadUtils.awaitResult(q1, 1.minute)
+    }
+    assert(e1.getCause.getMessage contains "OPERATION_CANCELED")
+    val e4 = intercept[SparkException] {
+      ThreadUtils.awaitResult(q4, 1.minute)
+    }
+    assert(e4.getCause.getMessage contains "OPERATION_CANCELED")
+    assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
+  }
+
+  test("interrupt operation") {
+    val session = spark
+    import session.implicits._
+
+    val result = spark
+      .range(10)
+      .map(n => {
+        Thread.sleep(5000); n
+      })
+      .collectResult()
+    // cancel
+    val operationId = result.operationId
+    val canceledId = spark.interruptOperation(operationId)
+    assert(canceledId == Seq(operationId))
+    // and check that it got canceled
+    val e = intercept[SparkException] {
+      result.toArray
+    }
+    assert(e.getMessage contains "OPERATION_CANCELED")
   }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index e7f01d6140dec..deb2ff631fdf2 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -365,6 +365,18 @@ object CheckConnectJvmClientCompatibility {
       // public
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.SparkSession.interruptAll"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.interruptTag"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.interruptOperation"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.addTag"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.removeTag"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.getTags"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.SparkSession.clearTags"),
       // SparkSession#Builder
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.SparkSession#Builder.remote"),
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/base.proto b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
index e869712858a3d..d935ae65328d4 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/base.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
@@ -281,6 +281,12 @@ message ExecutePlanRequest {
   // server side.
   UserContext user_context = 2;
 
+  // (Optional)
+  // Provide an id for this request. If not provided, it will be generated by the server.
+  // It is returned in every ExecutePlanResponse.operation_id of the ExecutePlan response stream.
+  // The id must be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+  optional string operation_id = 6;
+
   // (Required) The logical plan to be executed / analyzed.
   Plan plan = 3;
 
@@ -299,6 +305,11 @@ message ExecutePlanRequest {
       google.protobuf.Any extension = 999;
     }
   }
+
+  // Tags to tag the given execution with.
+  // Tags cannot contain ',' character and cannot be empty strings.
+  // Used by Interrupt with interrupt.tag.
+  repeated string tags = 7;
 }
 
 // The response of a query, can be one or more for each request. Responses belonging to the
@@ -306,6 +317,12 @@ message ExecutePlanRequest {
 message ExecutePlanResponse {
   string session_id = 1;
 
+  // Identifies the ExecutePlan execution.
+  // If set by the client in ExecutePlanRequest.operationId, that value is returned.
+  // Otherwise generated by the server.
+  // It is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+  string operation_id = 12;
+
   // Union type for the different response messages.
   oneof response_type {
     ArrowBatch arrow_batch = 2;
@@ -616,13 +633,31 @@ message InterruptRequest {
   enum InterruptType {
     INTERRUPT_TYPE_UNSPECIFIED = 0;
 
-    // Interrupt all running executions within session with provided session_id.
+    // Interrupt all running executions within the session with the provided session_id.
     INTERRUPT_TYPE_ALL = 1;
+
+    // Interrupt all running executions within the session with the provided operation_tag.
+    INTERRUPT_TYPE_TAG = 2;
+
+    // Interrupt the running execution within the session with the provided operation_id.
+    INTERRUPT_TYPE_OPERATION_ID = 3;
+  }
+
+  oneof interrupt {
+    // if interrupt_tag == INTERRUPT_TYPE_TAG, interrupt operation with this tag.
+    string operation_tag = 5;
+
+    // if interrupt_tag == INTERRUPT_TYPE_OPERATION_ID, interrupt operation with this operation_id.
+    string operation_id = 6;
   }
 }
 
 message InterruptResponse {
+  // Session id in which the interrupt was running.
   string session_id = 1;
+
+  // Operation ids of the executions which were interrupted.
+  repeated string interrupted_ids = 2;
 }
 
 // Main interface for the SparkConnect service.
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
index e0c7d267c604e..e2934b5674495 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
@@ -81,4 +81,28 @@ private[connect] object ProtoUtils {
   private def createString(prefix: String, size: Int): String = {
     s"$prefix[truncated(size=${format.format(size)})]"
   }
+
+  // Because Spark Connect operation tags are also set as SparkContext Job tags, they cannot contain
+  // SparkContext.SPARK_JOB_TAGS_SEP
+  private var SPARK_JOB_TAGS_SEP = ',' // SparkContext.SPARK_JOB_TAGS_SEP
+
+  /**
+   * Validate if a tag for ExecutePlanRequest.tags is valid. Throw IllegalArgumentException if
+   * not.
+   */
+  def throwIfInvalidTag(tag: String): Unit = {
+    // Same format rules apply to Spark Connect execution tags as to SparkContext job tags,
+    // because the Spark Connect job tag is also used as part of SparkContext job tag.
+    // See SparkContext.throwIfInvalidTag and ExecuteHolder.tagToSparkJobTag
+    if (tag == null) {
+      throw new IllegalArgumentException("Spark Connect tag cannot be null.")
+    }
+    if (tag.contains(SPARK_JOB_TAGS_SEP)) {
+      throw new IllegalArgumentException(
+        s"Spark Connect tag cannot contain '$SPARK_JOB_TAGS_SEP'.")
+    }
+    if (tag.isEmpty) {
+      throw new IllegalArgumentException("Spark Connect tag cannot be an empty string.")
+    }
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index 5aecbdfce163e..ae89c150a68f2 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -21,7 +21,9 @@ import scala.collection.mutable
 
 import io.grpc.stub.StreamObserver
 
+import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.service.ExecuteHolder
 
 /**
  * This StreamObserver is running on the execution thread. Execution pushes responses to it, it
@@ -40,7 +42,9 @@ import org.apache.spark.internal.Logging
  * @see
  *   attachConsumer
  */
-private[connect] class ExecuteResponseObserver[T]() extends StreamObserver[T] with Logging {
+private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHolder)
+    extends StreamObserver[T]
+    with Logging {
 
   /**
    * Cached responses produced by the execution. Map from response index -> response. Response
@@ -77,7 +81,9 @@ private[connect] class ExecuteResponseObserver[T]() extends StreamObserver[T] wi
       throw new IllegalStateException("Stream onNext can't be called after stream completed")
     }
     lastProducedIndex += 1
-    responses += ((lastProducedIndex, CachedStreamResponse[T](r, lastProducedIndex)))
+    val processedResponse = setCommonResponseFields(r)
+    responses +=
+      ((lastProducedIndex, CachedStreamResponse[T](processedResponse, lastProducedIndex)))
     logDebug(s"Saved response with index=$lastProducedIndex")
     notifyAll()
   }
@@ -158,4 +164,19 @@ private[connect] class ExecuteResponseObserver[T]() extends StreamObserver[T] wi
       i -= 1
     }
   }
+
+  /**
+   * Populate response fields that are common and should be set in every response.
+   */
+  private def setCommonResponseFields(response: T): T = {
+    response match {
+      case executePlanResponse: proto.ExecutePlanResponse =>
+        executePlanResponse
+          .toBuilder()
+          .setSessionId(executeHolder.sessionHolder.sessionId)
+          .setOperationId(executeHolder.operationId)
+          .build()
+          .asInstanceOf[T]
+    }
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index 6c2ffa4654747..6758df0d7e6d7 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -54,11 +54,20 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
     executionThread.join()
   }
 
-  /** Interrupt the executing thread. */
-  def interrupt(): Unit = {
+  /**
+   * Interrupt the executing thread.
+   * @return
+   *   true if it was not interrupted before, false if it was already interrupted.
+   */
+  def interrupt(): Boolean = {
     synchronized {
-      interrupted = true
-      executionThread.interrupt()
+      if (!interrupted) {
+        interrupted = true
+        executionThread.interrupt()
+        true
+      } else {
+        false
+      }
     }
   }
 
@@ -85,6 +94,10 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
           }
       } finally {
         executeHolder.sessionHolder.session.sparkContext.removeJobTag(executeHolder.jobTag)
+        executeHolder.sparkSessionTags.foreach { tag =>
+          executeHolder.sessionHolder.session.sparkContext
+            .removeJobTag(executeHolder.tagToSparkJobTag(tag))
+        }
       }
     } catch {
       ErrorUtils.handleError(
@@ -113,6 +126,10 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
 
       // Set tag for query cancellation
       session.sparkContext.addJobTag(executeHolder.jobTag)
+      // Also set all user defined tags as Spark Job tags.
+      executeHolder.sparkSessionTags.foreach { tag =>
+        session.sparkContext.addJobTag(executeHolder.tagToSparkJobTag(tag))
+      }
       session.sparkContext.setJobDescription(
         s"Spark Connect - ${StringUtils.abbreviate(debugString, 128)}")
       session.sparkContext.setInterruptOnCancel(true)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
index 0af54f034a254..5e831aaa98f2f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
@@ -59,6 +59,8 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
 
   private def jobTag = executeHolder.jobTag
 
+  private def sparkSessionTags = executeHolder.sparkSessionTags
+
   private def listenerBus = sessionHolder.session.sparkContext.listenerBus
 
   private def sessionHolder = executeHolder.sessionHolder
@@ -119,7 +121,8 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
         Utils.redact(
           sessionHolder.session.sessionState.conf.stringRedactionPattern,
           ProtoUtils.abbreviate(plan, ExecuteEventsManager.MAX_STATEMENT_TEXT_SIZE).toString),
-        Some(request)))
+        Some(request),
+        sparkSessionTags))
   }
 
   /**
@@ -270,6 +273,8 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
  *   The connect request plan converted to text.
  * @param planRequest:
  *   The Connect request. None if the operation is not of type @link proto.ExecutePlanRequest
+ * @param sparkSessionTags:
+ *   Extra tags set by the user (via SparkSession.addTag).
  * @param extraTags:
  *   Additional metadata during the request.
  */
@@ -282,6 +287,7 @@ case class SparkListenerConnectOperationStarted(
     userName: String,
     statementText: String,
     planRequest: Option[proto.ExecutePlanRequest],
+    sparkSessionTags: Set[String],
     extraTags: Map[String, String] = Map.empty)
     extends SparkListenerEvent
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 1f70973b60e0d..74530ad032f13 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -17,8 +17,11 @@
 
 package org.apache.spark.sql.connect.service
 
+import scala.collection.JavaConverters._
+
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.execution.{ExecuteGrpcResponseSender, ExecuteResponseObserver, ExecuteThreadRunner}
 import org.apache.spark.util.SystemClock
 
@@ -31,16 +34,34 @@ private[connect] class ExecuteHolder(
     val sessionHolder: SessionHolder)
     extends Logging {
 
+  /**
+   * Tag that is set for this execution on SparkContext, via SparkContext.addJobTag. Used
+   * (internally) for cancallation of the Spark Jobs ran by this execution.
+   */
   val jobTag =
     s"SparkConnect_Execute_" +
       s"User_${sessionHolder.userId}_" +
       s"Session_${sessionHolder.sessionId}_" +
       s"Request_${operationId}"
 
+  /**
+   * Tags set by Spark Connect client users via SparkSession.addTag. Used to identify and group
+   * executions, and for user cancellation using SparkSession.interruptTag.
+   */
+  val sparkSessionTags: Set[String] = request
+    .getTagsList()
+    .asScala
+    .toSeq
+    .map { tag =>
+      ProtoUtils.throwIfInvalidTag(tag)
+      tag
+    }
+    .toSet
+
   val session = sessionHolder.session
 
   val responseObserver: ExecuteResponseObserver[proto.ExecutePlanResponse] =
-    new ExecuteResponseObserver[proto.ExecutePlanResponse]()
+    new ExecuteResponseObserver[proto.ExecutePlanResponse](this)
 
   val eventsManager: ExecuteEventsManager = ExecuteEventsManager(this, new SystemClock())
 
@@ -85,8 +106,19 @@ private[connect] class ExecuteHolder(
   /**
    * Interrupt the execution. Interrupts the running thread, which cancels all running Spark Jobs
    * and makes the execution throw an OPERATION_CANCELED error.
+   * @return
+   *   true if it was not interrupted before, false if it was already interrupted.
    */
-  def interrupt(): Unit = {
+  def interrupt(): Boolean = {
     runner.interrupt()
   }
+
+  /**
+   * Spark Connect tags are also added as SparkContext job tags, but to make the tag unique, they
+   * need to be combined with userId and sessionId.
+   */
+  def tagToSparkJobTag(tag: String): String = {
+    "SparkConnect_Tag_" +
+      s"User_${sessionHolder.userId}_Session_${sessionHolder.sessionId}"
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 5ac4f6db82aa3..ae53d1d171f0c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -22,10 +22,9 @@ import java.util.UUID
 import java.util.concurrent.{ConcurrentHashMap, ConcurrentMap}
 
 import scala.collection.JavaConverters._
-import scala.util.control.NonFatal
+import scala.collection.mutable
 
-import org.apache.spark.JobArtifactSet
-import org.apache.spark.SparkException
+import org.apache.spark.{JobArtifactSet, SparkException, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.DataFrame
@@ -57,9 +56,25 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     new ConcurrentHashMap()
 
   private[connect] def createExecuteHolder(request: proto.ExecutePlanRequest): ExecuteHolder = {
-    val operationId = UUID.randomUUID().toString
+    val operationId = if (request.hasOperationId) {
+      try {
+        UUID.fromString(request.getOperationId).toString
+      } catch {
+        case _: IllegalArgumentException =>
+          throw new SparkSQLException(
+            errorClass = "INVALID_HANDLE.FORMAT",
+            messageParameters = Map("handle" -> request.getOperationId))
+      }
+    } else {
+      UUID.randomUUID().toString
+    }
     val executePlanHolder = new ExecuteHolder(request, operationId, this)
-    assert(executions.putIfAbsent(operationId, executePlanHolder) == null)
+    val oldExecute = executions.putIfAbsent(operationId, executePlanHolder)
+    if (oldExecute != null) {
+      throw new SparkSQLException(
+        errorClass = "INVALID_HANDLE.ALREADY_EXISTS",
+        messageParameters = Map("handle" -> operationId))
+    }
     executePlanHolder
   }
 
@@ -71,17 +86,51 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     executions.remove(operationId)
   }
 
-  private[connect] def interruptAll(): Unit = {
+  /**
+   * Interrupt all executions in the session.
+   * @return
+   *   list of operationIds of interrupted executions
+   */
+  private[connect] def interruptAll(): Seq[String] = {
+    val interruptedIds = new mutable.ArrayBuffer[String]()
     executions.asScala.values.foreach { execute =>
-      // Eat exception while trying to interrupt a given execution and move forward.
-      try {
-        logDebug(s"Interrupting execution ${execute.operationId}")
-        execute.interrupt()
-      } catch {
-        case NonFatal(e) =>
-          logWarning(s"Exception $e while trying to interrupt execution ${execute.operationId}")
+      if (execute.interrupt()) {
+        interruptedIds += execute.operationId
+      }
+    }
+    interruptedIds.toSeq
+  }
+
+  /**
+   * Interrupt executions in the session with a given tag.
+   * @return
+   *   list of operationIds of interrupted executions
+   */
+  private[connect] def interruptTag(tag: String): Seq[String] = {
+    val interruptedIds = new mutable.ArrayBuffer[String]()
+    executions.asScala.values.foreach { execute =>
+      if (execute.sparkSessionTags.contains(tag)) {
+        if (execute.interrupt()) {
+          interruptedIds += execute.operationId
+        }
+      }
+    }
+    interruptedIds.toSeq
+  }
+
+  /**
+   * Interrupt the execution with the given operation_id
+   * @return
+   *   list of operationIds of interrupted executions (one element or empty)
+   */
+  private[connect] def interruptOperation(operationId: String): Seq[String] = {
+    val interruptedIds = new mutable.ArrayBuffer[String]()
+    Option(executions.get(operationId)).foreach { execute =>
+      if (execute.interrupt()) {
+        interruptedIds += execute.operationId
       }
     }
+    interruptedIds.toSeq
   }
 
   private[connect] lazy val artifactManager = new SparkConnectArtifactManager(this)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterruptHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterruptHandler.scala
index b0923e277e426..a9ed391460ca9 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterruptHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterruptHandler.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connect.service
 
+import scala.collection.JavaConverters._
+
 import io.grpc.stub.StreamObserver
 
 import org.apache.spark.connect.proto
@@ -30,16 +32,32 @@ class SparkConnectInterruptHandler(responseObserver: StreamObserver[proto.Interr
       SparkConnectService
         .getOrCreateIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
 
-    v.getInterruptType match {
+    val interruptedIds = v.getInterruptType match {
       case proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_ALL =>
         sessionHolder.interruptAll()
+      case proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_TAG =>
+        if (!v.hasOperationTag) {
+          throw new IllegalArgumentException(
+            s"INTERRUPT_TYPE_TAG requested, but no operation_tag provided.")
+        }
+        sessionHolder.interruptTag(v.getOperationTag)
+      case proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_OPERATION_ID =>
+        if (!v.hasOperationId) {
+          throw new IllegalArgumentException(
+            s"INTERRUPT_TYPE_OPERATION_ID requested, but no operation_id provided.")
+        }
+        sessionHolder.interruptOperation(v.getOperationId)
       case other =>
         throw new UnsupportedOperationException(s"Unknown InterruptType $other!")
     }
 
-    val builder = proto.InterruptResponse.newBuilder().setSessionId(v.getSessionId)
+    val response = proto.InterruptResponse
+      .newBuilder()
+      .setSessionId(v.getSessionId)
+      .addAllInterruptedIds(interruptedIds.asJava)
+      .build()
 
-    responseObserver.onNext(builder.build())
+    responseObserver.onNext(response)
     responseObserver.onCompleted()
   }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
index 365b17632a742..27c57e0d759f0 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
@@ -64,6 +64,7 @@ class ExecuteEventsManagerSuite
         DEFAULT_USER_NAME,
         DEFAULT_TEXT,
         Some(events.executeHolder.request),
+        Set.empty,
         Map.empty))
   }
 
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 80f7eaf00ed22..26fdb86d29903 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -2975,6 +2975,7 @@ object SparkContext extends Logging {
   /** Separator of tags in SPARK_JOB_TAGS property */
   private[spark] val SPARK_JOB_TAGS_SEP = ","
 
+  // Same rules apply to Spark Connect execution tags, see ExecuteHolder.throwIfInvalidTag
   private[spark] def throwIfInvalidTag(tag: String) = {
     if (tag == null) {
       throw new IllegalArgumentException("Spark job tag cannot be null.")
diff --git a/docs/sql-error-conditions-invalid-handle-error-class.md b/docs/sql-error-conditions-invalid-handle-error-class.md
new file mode 100644
index 0000000000000..7c083bc5f50c8
--- /dev/null
+++ b/docs/sql-error-conditions-invalid-handle-error-class.md
@@ -0,0 +1,36 @@
+---
+layout: global
+title: INVALID_HANDLE error class
+displayTitle: INVALID_HANDLE error class
+license: |
+  Licensed to the Apache Software Foundation (ASF) under one or more
+  contributor license agreements.  See the NOTICE file distributed with
+  this work for additional information regarding copyright ownership.
+  The ASF licenses this file to You under the Apache License, Version 2.0
+  (the "License"); you may not use this file except in compliance with
+  the License.  You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+---
+
+[SQLSTATE: HY000](sql-error-conditions-sqlstates.html#class-HY-cli-specific-condition)
+
+The handle `<handle>` is invalid.
+
+This error class has the following derived error classes:
+
+## ALREADY_EXISTS
+
+Handle already exists.
+
+## FORMAT
+
+Handle has invalid format. Handle must an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'
+
+
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 5686324a0558b..6dbbf7bf05cd2 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -910,6 +910,14 @@ For more details see [INVALID_FORMAT](sql-error-conditions-invalid-format-error-
 
 The fraction of sec must be zero. Valid range is [0, 60]. If necessary set `<ansiConfig>` to "false" to bypass this error.
 
+### [INVALID_HANDLE](sql-error-conditions-invalid-handle-error-class.html)
+
+[SQLSTATE: HY000](sql-error-conditions-sqlstates.html#class-HY-cli-specific-condition)
+
+The handle `<handle>` is invalid.
+
+For more details see [INVALID_HANDLE](sql-error-conditions-invalid-handle-error-class.html)
+
 ### INVALID_HIVE_COLUMN_NAME
 
 SQLSTATE: none assigned
diff --git a/python/pyspark/sql/connect/proto/base_pb2.py b/python/pyspark/sql/connect/proto/base_pb2.py
index 7bf93ed58fa86..04044d4cdcf3f 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.py
+++ b/python/pyspark/sql/connect/proto/base_pb2.py
@@ -37,7 +37,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x18spark/connect/base.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1cspark/connect/commands.proto\x1a\x1aspark/connect/common.proto\x1a\x1fspark/connect/expressions.proto\x1a\x1dspark/connect/relations.proto\x1a\x19spark/connect/types.proto"t\n\x04Plan\x12-\n\x04root\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationH\x00R\x04root\x12\x32\n\x07\x63ommand\x18\x02 \x01(\x0b\x32\x16.spark.connect.CommandH\x00R\x07\x63ommandB\t\n\x07op_type"z\n\x0bUserContext\x12\x17\n\x07user_id\x18\x01 \x01(\tR\x06userId\x12\x1b\n\tuser_name\x18\x02 \x01(\tR\x08userName\x12\x35\n\nextensions\x18\xe7\x07 \x03(\x0b\x32\x14.google.protobuf.AnyR\nextensions"\xf5\x12\n\x12\x41nalyzePlanRequest\x12\x1d\n\nsession_id\x18\x01 \x01(\tR\tsessionId\x12=\n\x0cuser_context\x18\x02 \x01(\x0b\x32\x1a.spark.connect.UserContextR\x0buserContext\x12$\n\x0b\x63lient_type\x18\x03 \x01(\tH\x01R\nclientType\x88\x01\x01\x12\x42\n\x06schema\x18\x04 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 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -115,75 +115,75 @@
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     _ANALYZEPLANRESPONSE_GETSTORAGELEVEL._serialized_end = 4565
     _EXECUTEPLANREQUEST._serialized_start = 4578
-    _EXECUTEPLANREQUEST._serialized_end = 4967
-    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_start = 4863
-    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_end = 4951
-    _EXECUTEPLANRESPONSE._serialized_start = 4970
-    _EXECUTEPLANRESPONSE._serialized_end = 6735
-    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_start = 5966
-    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_end = 6037
-    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_start = 6039
-    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_end = 6100
-    _EXECUTEPLANRESPONSE_METRICS._serialized_start = 6103
-    _EXECUTEPLANRESPONSE_METRICS._serialized_end = 6620
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_start = 6198
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_end = 6530
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_start = 6407
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_end = 6530
-    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_start = 6532
-    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_end = 6620
-    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_start = 6622
-    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_end = 6718
-    _KEYVALUE._serialized_start = 6737
-    _KEYVALUE._serialized_end = 6802
-    _CONFIGREQUEST._serialized_start = 6805
-    _CONFIGREQUEST._serialized_end = 7833
-    _CONFIGREQUEST_OPERATION._serialized_start = 7025
-    _CONFIGREQUEST_OPERATION._serialized_end = 7523
-    _CONFIGREQUEST_SET._serialized_start = 7525
-    _CONFIGREQUEST_SET._serialized_end = 7577
-    _CONFIGREQUEST_GET._serialized_start = 7579
-    _CONFIGREQUEST_GET._serialized_end = 7604
-    _CONFIGREQUEST_GETWITHDEFAULT._serialized_start = 7606
-    _CONFIGREQUEST_GETWITHDEFAULT._serialized_end = 7669
-    _CONFIGREQUEST_GETOPTION._serialized_start = 7671
-    _CONFIGREQUEST_GETOPTION._serialized_end = 7702
-    _CONFIGREQUEST_GETALL._serialized_start = 7704
-    _CONFIGREQUEST_GETALL._serialized_end = 7752
-    _CONFIGREQUEST_UNSET._serialized_start = 7754
-    _CONFIGREQUEST_UNSET._serialized_end = 7781
-    _CONFIGREQUEST_ISMODIFIABLE._serialized_start = 7783
-    _CONFIGREQUEST_ISMODIFIABLE._serialized_end = 7817
-    _CONFIGRESPONSE._serialized_start = 7835
-    _CONFIGRESPONSE._serialized_end = 7957
-    _ADDARTIFACTSREQUEST._serialized_start = 7960
-    _ADDARTIFACTSREQUEST._serialized_end = 8831
-    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_start = 8347
-    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_end = 8400
-    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_start = 8402
-    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_end = 8513
-    _ADDARTIFACTSREQUEST_BATCH._serialized_start = 8515
-    _ADDARTIFACTSREQUEST_BATCH._serialized_end = 8608
-    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_start = 8611
-    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_end = 8804
-    _ADDARTIFACTSRESPONSE._serialized_start = 8834
-    _ADDARTIFACTSRESPONSE._serialized_end = 9022
-    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_start = 8941
-    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_end = 9022
-    _ARTIFACTSTATUSESREQUEST._serialized_start = 9025
-    _ARTIFACTSTATUSESREQUEST._serialized_end = 9220
-    _ARTIFACTSTATUSESRESPONSE._serialized_start = 9223
-    _ARTIFACTSTATUSESRESPONSE._serialized_end = 9491
-    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_start = 9334
-    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_end = 9374
-    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_start = 9376
-    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_end = 9491
-    _INTERRUPTREQUEST._serialized_start = 9494
-    _INTERRUPTREQUEST._serialized_end = 9819
-    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_start = 9732
-    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_end = 9803
-    _INTERRUPTRESPONSE._serialized_start = 9821
-    _INTERRUPTRESPONSE._serialized_end = 9871
-    _SPARKCONNECTSERVICE._serialized_start = 9874
-    _SPARKCONNECTSERVICE._serialized_end = 10422
+    _EXECUTEPLANREQUEST._serialized_end = 5044
+    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_start = 4923
+    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_end = 5011
+    _EXECUTEPLANRESPONSE._serialized_start = 5047
+    _EXECUTEPLANRESPONSE._serialized_end = 6847
+    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_start = 6078
+    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_end = 6149
+    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_start = 6151
+    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_end = 6212
+    _EXECUTEPLANRESPONSE_METRICS._serialized_start = 6215
+    _EXECUTEPLANRESPONSE_METRICS._serialized_end = 6732
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_start = 6310
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_end = 6642
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_start = 6519
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_end = 6642
+    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_start = 6644
+    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_end = 6732
+    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_start = 6734
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+    _CONFIGREQUEST_SET._serialized_start = 7637
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+    _CONFIGREQUEST_GETALL._serialized_start = 7816
+    _CONFIGREQUEST_GETALL._serialized_end = 7864
+    _CONFIGREQUEST_UNSET._serialized_start = 7866
+    _CONFIGREQUEST_UNSET._serialized_end = 7893
+    _CONFIGREQUEST_ISMODIFIABLE._serialized_start = 7895
+    _CONFIGREQUEST_ISMODIFIABLE._serialized_end = 7929
+    _CONFIGRESPONSE._serialized_start = 7947
+    _CONFIGRESPONSE._serialized_end = 8069
+    _ADDARTIFACTSREQUEST._serialized_start = 8072
+    _ADDARTIFACTSREQUEST._serialized_end = 8943
+    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_start = 8459
+    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_end = 8512
+    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_start = 8514
+    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_end = 8625
+    _ADDARTIFACTSREQUEST_BATCH._serialized_start = 8627
+    _ADDARTIFACTSREQUEST_BATCH._serialized_end = 8720
+    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_start = 8723
+    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_end = 8916
+    _ADDARTIFACTSRESPONSE._serialized_start = 8946
+    _ADDARTIFACTSRESPONSE._serialized_end = 9134
+    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_start = 9053
+    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_end = 9134
+    _ARTIFACTSTATUSESREQUEST._serialized_start = 9137
+    _ARTIFACTSTATUSESREQUEST._serialized_end = 9332
+    _ARTIFACTSTATUSESRESPONSE._serialized_start = 9335
+    _ARTIFACTSTATUSESRESPONSE._serialized_end = 9603
+    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_start = 9446
+    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_end = 9486
+    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_start = 9488
+    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_end = 9603
+    _INTERRUPTREQUEST._serialized_start = 9606
+    _INTERRUPTREQUEST._serialized_end = 10078
+    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_start = 9921
+    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_end = 10049
+    _INTERRUPTRESPONSE._serialized_start = 10080
+    _INTERRUPTRESPONSE._serialized_end = 10171
+    _SPARKCONNECTSERVICE._serialized_start = 10174
+    _SPARKCONNECTSERVICE._serialized_end = 10722
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/base_pb2.pyi b/python/pyspark/sql/connect/proto/base_pb2.pyi
index 633058f33ed4e..651438ea4385d 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/base_pb2.pyi
@@ -1031,9 +1031,11 @@ class ExecutePlanRequest(google.protobuf.message.Message):
 
     SESSION_ID_FIELD_NUMBER: builtins.int
     USER_CONTEXT_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
     PLAN_FIELD_NUMBER: builtins.int
     CLIENT_TYPE_FIELD_NUMBER: builtins.int
     REQUEST_OPTIONS_FIELD_NUMBER: builtins.int
+    TAGS_FIELD_NUMBER: builtins.int
     session_id: builtins.str
     """(Required)
 
@@ -1048,6 +1050,12 @@ class ExecutePlanRequest(google.protobuf.message.Message):
         user_context.user_id and session+id both identify a unique remote spark session on the
         server side.
         """
+    operation_id: builtins.str
+    """(Optional)
+    Provide an id for this request. If not provided, it will be generated by the server.
+    It is returned in every ExecutePlanResponse.operation_id of the ExecutePlan response stream.
+    The id must be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+    """
     @property
     def plan(self) -> global___Plan:
         """(Required) The logical plan to be executed / analyzed."""
@@ -1065,23 +1073,37 @@ class ExecutePlanRequest(google.protobuf.message.Message):
         """Repeated element for options that can be passed to the request. This element is currently
         unused but allows to pass in an extension value used for arbitrary options.
         """
+    @property
+    def tags(
+        self,
+    ) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """Tags to tag the given execution with.
+        Tags cannot contain ',' character and cannot be empty strings.
+        Used by Interrupt with interrupt.tag.
+        """
     def __init__(
         self,
         *,
         session_id: builtins.str = ...,
         user_context: global___UserContext | None = ...,
+        operation_id: builtins.str | None = ...,
         plan: global___Plan | None = ...,
         client_type: builtins.str | None = ...,
         request_options: collections.abc.Iterable[global___ExecutePlanRequest.RequestOption]
         | None = ...,
+        tags: collections.abc.Iterable[builtins.str] | None = ...,
     ) -> None: ...
     def HasField(
         self,
         field_name: typing_extensions.Literal[
             "_client_type",
             b"_client_type",
+            "_operation_id",
+            b"_operation_id",
             "client_type",
             b"client_type",
+            "operation_id",
+            b"operation_id",
             "plan",
             b"plan",
             "user_context",
@@ -1093,21 +1115,32 @@ class ExecutePlanRequest(google.protobuf.message.Message):
         field_name: typing_extensions.Literal[
             "_client_type",
             b"_client_type",
+            "_operation_id",
+            b"_operation_id",
             "client_type",
             b"client_type",
+            "operation_id",
+            b"operation_id",
             "plan",
             b"plan",
             "request_options",
             b"request_options",
             "session_id",
             b"session_id",
+            "tags",
+            b"tags",
             "user_context",
             b"user_context",
         ],
     ) -> None: ...
+    @typing.overload
     def WhichOneof(
         self, oneof_group: typing_extensions.Literal["_client_type", b"_client_type"]
     ) -> typing_extensions.Literal["client_type"] | None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["_operation_id", b"_operation_id"]
+    ) -> typing_extensions.Literal["operation_id"] | None: ...
 
 global___ExecutePlanRequest = ExecutePlanRequest
 
@@ -1290,6 +1323,7 @@ class ExecutePlanResponse(google.protobuf.message.Message):
         ) -> None: ...
 
     SESSION_ID_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
     ARROW_BATCH_FIELD_NUMBER: builtins.int
     SQL_COMMAND_RESULT_FIELD_NUMBER: builtins.int
     WRITE_STREAM_OPERATION_START_RESULT_FIELD_NUMBER: builtins.int
@@ -1301,6 +1335,12 @@ class ExecutePlanResponse(google.protobuf.message.Message):
     OBSERVED_METRICS_FIELD_NUMBER: builtins.int
     SCHEMA_FIELD_NUMBER: builtins.int
     session_id: builtins.str
+    operation_id: builtins.str
+    """Identifies the ExecutePlan execution.
+    If set by the client in ExecutePlanRequest.operationId, that value is returned.
+    Otherwise generated by the server.
+    It is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+    """
     @property
     def arrow_batch(self) -> global___ExecutePlanResponse.ArrowBatch: ...
     @property
@@ -1348,6 +1388,7 @@ class ExecutePlanResponse(google.protobuf.message.Message):
         self,
         *,
         session_id: builtins.str = ...,
+        operation_id: builtins.str = ...,
         arrow_batch: global___ExecutePlanResponse.ArrowBatch | None = ...,
         sql_command_result: global___ExecutePlanResponse.SqlCommandResult | None = ...,
         write_stream_operation_start_result: pyspark.sql.connect.proto.commands_pb2.WriteStreamOperationStartResult
@@ -1402,6 +1443,8 @@ class ExecutePlanResponse(google.protobuf.message.Message):
             b"metrics",
             "observed_metrics",
             b"observed_metrics",
+            "operation_id",
+            b"operation_id",
             "response_type",
             b"response_type",
             "schema",
@@ -2208,17 +2251,27 @@ class InterruptRequest(google.protobuf.message.Message):
         DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor
         INTERRUPT_TYPE_UNSPECIFIED: InterruptRequest._InterruptType.ValueType  # 0
         INTERRUPT_TYPE_ALL: InterruptRequest._InterruptType.ValueType  # 1
-        """Interrupt all running executions within session with provided session_id."""
+        """Interrupt all running executions within the session with the provided session_id."""
+        INTERRUPT_TYPE_TAG: InterruptRequest._InterruptType.ValueType  # 2
+        """Interrupt all running executions within the session with the provided operation_tag."""
+        INTERRUPT_TYPE_OPERATION_ID: InterruptRequest._InterruptType.ValueType  # 3
+        """Interrupt the running execution within the session with the provided operation_id."""
 
     class InterruptType(_InterruptType, metaclass=_InterruptTypeEnumTypeWrapper): ...
     INTERRUPT_TYPE_UNSPECIFIED: InterruptRequest.InterruptType.ValueType  # 0
     INTERRUPT_TYPE_ALL: InterruptRequest.InterruptType.ValueType  # 1
-    """Interrupt all running executions within session with provided session_id."""
+    """Interrupt all running executions within the session with the provided session_id."""
+    INTERRUPT_TYPE_TAG: InterruptRequest.InterruptType.ValueType  # 2
+    """Interrupt all running executions within the session with the provided operation_tag."""
+    INTERRUPT_TYPE_OPERATION_ID: InterruptRequest.InterruptType.ValueType  # 3
+    """Interrupt the running execution within the session with the provided operation_id."""
 
     SESSION_ID_FIELD_NUMBER: builtins.int
     USER_CONTEXT_FIELD_NUMBER: builtins.int
     CLIENT_TYPE_FIELD_NUMBER: builtins.int
     INTERRUPT_TYPE_FIELD_NUMBER: builtins.int
+    OPERATION_TAG_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
     session_id: builtins.str
     """(Required)
 
@@ -2236,6 +2289,10 @@ class InterruptRequest(google.protobuf.message.Message):
     """
     interrupt_type: global___InterruptRequest.InterruptType.ValueType
     """(Required) The type of interrupt to execute."""
+    operation_tag: builtins.str
+    """if interrupt_tag == INTERRUPT_TYPE_TAG, interrupt operation with this tag."""
+    operation_id: builtins.str
+    """if interrupt_tag == INTERRUPT_TYPE_OPERATION_ID, interrupt operation with this operation_id."""
     def __init__(
         self,
         *,
@@ -2243,6 +2300,8 @@ class InterruptRequest(google.protobuf.message.Message):
         user_context: global___UserContext | None = ...,
         client_type: builtins.str | None = ...,
         interrupt_type: global___InterruptRequest.InterruptType.ValueType = ...,
+        operation_tag: builtins.str = ...,
+        operation_id: builtins.str = ...,
     ) -> None: ...
     def HasField(
         self,
@@ -2251,6 +2310,12 @@ class InterruptRequest(google.protobuf.message.Message):
             b"_client_type",
             "client_type",
             b"client_type",
+            "interrupt",
+            b"interrupt",
+            "operation_id",
+            b"operation_id",
+            "operation_tag",
+            b"operation_tag",
             "user_context",
             b"user_context",
         ],
@@ -2262,17 +2327,28 @@ class InterruptRequest(google.protobuf.message.Message):
             b"_client_type",
             "client_type",
             b"client_type",
+            "interrupt",
+            b"interrupt",
             "interrupt_type",
             b"interrupt_type",
+            "operation_id",
+            b"operation_id",
+            "operation_tag",
+            b"operation_tag",
             "session_id",
             b"session_id",
             "user_context",
             b"user_context",
         ],
     ) -> None: ...
+    @typing.overload
     def WhichOneof(
         self, oneof_group: typing_extensions.Literal["_client_type", b"_client_type"]
     ) -> typing_extensions.Literal["client_type"] | None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["interrupt", b"interrupt"]
+    ) -> typing_extensions.Literal["operation_tag", "operation_id"] | None: ...
 
 global___InterruptRequest = InterruptRequest
 
@@ -2280,14 +2356,25 @@ class InterruptResponse(google.protobuf.message.Message):
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
     SESSION_ID_FIELD_NUMBER: builtins.int
+    INTERRUPTED_IDS_FIELD_NUMBER: builtins.int
     session_id: builtins.str
+    """Session id in which the interrupt was running."""
+    @property
+    def interrupted_ids(
+        self,
+    ) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """Operation ids of the executions which were interrupted."""
     def __init__(
         self,
         *,
         session_id: builtins.str = ...,
+        interrupted_ids: collections.abc.Iterable[builtins.str] | None = ...,
     ) -> None: ...
     def ClearField(
-        self, field_name: typing_extensions.Literal["session_id", b"session_id"]
+        self,
+        field_name: typing_extensions.Literal[
+            "interrupted_ids", b"interrupted_ids", "session_id", b"session_id"
+        ],
     ) -> None: ...
 
 global___InterruptResponse = InterruptResponse

From a8e2977fd9b6e3224b014e0b0572a4d7b83c1106 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 22 Jul 2023 13:11:04 +0800
Subject: [PATCH 041/986] [SPARK-44510][UI] Update dataTables to 1.13.5 and
 remove some unreached png files

### What changes were proposed in this pull request?

This PR updates datatables from 1.13.2 to 1.13.5, related license files, and removes some pictures for sorting orientation but unused.

FYI, https://cdn.datatables.net/releases.html

### Why are the changes needed?

updating web resources and cleanup

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

built and tested locally

![image](https://github.com/apache/spark/assets/8326978/87a899d2-a45a-4aba-8c65-ab694919923d)

Closes #42108 from yaooqinn/SPARK-44510.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 6409284963d6c5edecc374db4027dee7f6f490c1)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../dataTables.bootstrap4.1.13.2.min.css      |   1 -
 .../dataTables.bootstrap4.1.13.2.min.js       |   4 ---
 .../dataTables.bootstrap4.1.13.5.min.css      |   1 +
 .../dataTables.bootstrap4.1.13.5.min.js       |   4 +++
 .../spark/ui/static/images/sort_asc.png       | Bin 160 -> 0 bytes
 .../ui/static/images/sort_asc_disabled.png    | Bin 148 -> 0 bytes
 .../spark/ui/static/images/sort_both.png      | Bin 201 -> 0 bytes
 .../spark/ui/static/images/sort_desc.png      | Bin 158 -> 0 bytes
 .../ui/static/images/sort_desc_disabled.png   | Bin 146 -> 0 bytes
 .../ui/static/jquery.dataTables.1.13.2.min.js |   4 ---
 .../ui/static/jquery.dataTables.1.13.5.min.js |   4 +++
 .../scala/org/apache/spark/ui/UIUtils.scala   |   6 ++---
 dev/.rat-excludes                             |   6 ++---
 licenses-binary/LICENSE-datatables.txt        |  25 +++++++++++++++---
 licenses/LICENSE-datatables.txt               |  25 +++++++++++++++---
 15 files changed, 57 insertions(+), 23 deletions(-)
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.2.min.css
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.2.min.js
 create mode 100644 core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.5.min.css
 create mode 100644 core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.5.min.js
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/images/sort_asc.png
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/images/sort_asc_disabled.png
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/images/sort_both.png
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/images/sort_desc.png
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/images/sort_desc_disabled.png
 delete mode 100644 core/src/main/resources/org/apache/spark/ui/static/jquery.dataTables.1.13.2.min.js
 create mode 100644 core/src/main/resources/org/apache/spark/ui/static/jquery.dataTables.1.13.5.min.js

diff --git a/core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.2.min.css b/core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.2.min.css
deleted file mode 100644
index b9c16ca78a01c..0000000000000
--- a/core/src/main/resources/org/apache/spark/ui/static/dataTables.bootstrap4.1.13.2.min.css
+++ /dev/null
@@ -1 +0,0 @@
-:root{--dt-row-selected: 2, 117, 216;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after{position:absolute;display:block;opacity:.125;right:10px;line-height:9px;font-size:.8em}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:before{bottom:50%;content:"▲"}table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:after{top:50%;content:"▼"}table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:after{opacity:.6}table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting_asc_disabled:before{display:none}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}div.dataTables_scrollBody table.dataTable thead>tr>th:before,div.dataTables_scrollBody table.dataTable thead>tr>th:after,div.dataTables_scrollBody table.dataTable thead>tr>td:before,div.dataTables_scrollBody table.dataTable thead>tr>td:after{display:none}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:2 117 216;animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes 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index 2937bc3c90c2c..0000000000000
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new file mode 100644
index 0000000000000..6db36f6e75d39
--- /dev/null
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new file mode 100644
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new file mode 100644
index 0000000000000..e71f4cd8ec92a
--- /dev/null
+++ b/core/src/main/resources/org/apache/spark/ui/static/jquery.dataTables.1.13.5.min.js
@@ -0,0 +1,4 @@
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class="ellipsis">&#x2026;</span>');break;case"first":g=S.sFirst,0===d&&(a=-1,b+=" "+o);break;case"previous":g=S.sPrevious,0===d&&(a=-1,b+=" "+o);break;case"next":g=S.sNext,0!==h&&d!==h-1||(a=-1,b+=" "+o);break;case"last":g=S.sLast,0!==h&&d!==h-1||(a=-1,b+=" "+o);break;default:g=c.fnFormatNumber(n+1),b=d===n?m.sPageButtonActive:""}null!==g&&(u=c.oInit.pagingTag||"a",r=-1!==b.indexOf(o),me(P("<"+u+">",{class:m.sPageButton+" "+b,"aria-controls":c.sTableId,"aria-disabled":r?"true":null,"aria-label":v[n],role:"link","aria-current":b===m.sPageButtonActive?"page":null,"data-dt-idx":n,tabindex:a,id:0===f&&"string"==typeof n?c.sTableId+"_"+n:null}).html(g).appendTo(t),{action:n},i))}}var g,b,n,m=c.oClasses,S=c.oLanguage.oPaginate,v=c.oLanguage.oAria.paginate||{};try{n=P(t).find(y.activeElement).data("dt-idx")}catch(t){}p(P(t).empty(),e),n!==H&&P(t).find("[data-dt-idx="+n+"]").trigger("focus")}}}),P.extend(w.ext.type.detect,[function(t,e){e=e.oLanguage.sDecimal;return l(t,e)?"num"+e:null},function(t,e){var n;return(!t||t instanceof Date||X.test(t))&&(null!==(n=Date.parse(t))&&!isNaN(n)||h(t))?"date":null},function(t,e){e=e.oLanguage.sDecimal;return l(t,e,!0)?"num-fmt"+e:null},function(t,e){e=e.oLanguage.sDecimal;return a(t,e)?"html-num"+e:null},function(t,e){e=e.oLanguage.sDecimal;return a(t,e,!0)?"html-num-fmt"+e:null},function(t,e){return h(t)||"string"==typeof t&&-1!==t.indexOf("<")?"html":null}]),P.extend(w.ext.type.search,{html:function(t){return h(t)?t:"string"==typeof t?t.replace(U," ").replace(V,""):""},string:function(t){return!h(t)&&"string"==typeof t?t.replace(U," "):t}});function ke(t,e,n,a){var r;return 0===t||t&&"-"!==t?"number"==(r=typeof t)||"bigint"==r?t:+(t=(t=e?$(t,e):t).replace&&(n&&(t=t.replace(n,"")),a)?t.replace(a,""):t):-1/0}function Me(n){P.each({num:function(t){return ke(t,n)},"num-fmt":function(t){return ke(t,n,q)},"html-num":function(t){return ke(t,n,V)},"html-num-fmt":function(t){return ke(t,n,V,q)}},function(t,e){p.type.order[t+n+"-pre"]=e,t.match(/^html\-/)&&(p.type.search[t+n]=p.type.search.html)})}P.extend(p.type.order,{"date-pre":function(t){t=Date.parse(t);return isNaN(t)?-1/0:t},"html-pre":function(t){return h(t)?"":t.replace?t.replace(/<.*?>/g,"").toLowerCase():t+""},"string-pre":function(t){return h(t)?"":"string"==typeof t?t.toLowerCase():t.toString?t.toString():""},"string-asc":function(t,e){return t<e?-1:e<t?1:0},"string-desc":function(t,e){return t<e?1:e<t?-1:0}}),Me(""),P.extend(!0,w.ext.renderer,{header:{_:function(r,o,i,l){P(r.nTable).on("order.dt.DT",function(t,e,n,a){r===e&&(e=i.idx,o.removeClass(l.sSortAsc+" "+l.sSortDesc).addClass("asc"==a[e]?l.sSortAsc:"desc"==a[e]?l.sSortDesc:i.sSortingClass))})},jqueryui:function(r,o,i,l){P("<div/>").addClass(l.sSortJUIWrapper).append(o.contents()).append(P("<span/>").addClass(l.sSortIcon+" 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Xe=",",Je=".";if(j.Intl!==H)try{for(var qe=(new Intl.NumberFormat).formatToParts(100000.1),n=0;n<qe.length;n++)"group"===qe[n].type?Xe=qe[n].value:"decimal"===qe[n].type&&(Je=qe[n].value)}catch(t){}function $e(e){return function(){var t=[ge(this[w.ext.iApiIndex])].concat(Array.prototype.slice.call(arguments));return w.ext.internal[e].apply(this,t)}}return w.datetime=function(n,a){var r="datetime-detect-"+n;a=a||"en",w.ext.type.order[r]||(w.ext.type.detect.unshift(function(t){var e=Ue(t,n,a);return!(""!==t&&!e)&&r}),w.ext.type.order[r+"-pre"]=function(t){return Ue(t,n,a)||0})},w.render={date:Ve("toLocaleDateString"),datetime:Ve("toLocaleString"),time:Ve("toLocaleTimeString"),number:function(a,r,o,i,l){return null!==a&&a!==H||(a=Xe),null!==r&&r!==H||(r=Je),{display:function(t){if("number"!=typeof t&&"string"!=typeof t)return t;if(""===t||null===t)return t;var e=t<0?"-":"",n=parseFloat(t);if(isNaN(n))return We(t);n=n.toFixed(o),t=Math.abs(n);n=parseInt(t,10),t=o?r+(t-n).toFixed(o).substring(2):"";return(e=0===n&&0===parseFloat(t)?"":e)+(i||"")+n.toString().replace(/\B(?=(\d{3})+(?!\d))/g,a)+t+(l||"")}}},text:function(){return{display:We,filter:We}}},P.extend(w.ext.internal,{_fnExternApiFunc:$e,_fnBuildAjax:Tt,_fnAjaxUpdate:xt,_fnAjaxParameters:At,_fnAjaxUpdateDraw:It,_fnAjaxDataSrc:Ft,_fnAddColumn:nt,_fnColumnOptions:at,_fnAdjustColumnSizing:O,_fnVisibleToColumnIndex:rt,_fnColumnIndexToVisible:ot,_fnVisbleColumns:T,_fnGetColumns:it,_fnColumnTypes:lt,_fnApplyColumnDefs:st,_fnHungarianMap:i,_fnCamelToHungarian:C,_fnLanguageCompat:Z,_fnBrowserDetect:tt,_fnAddData:x,_fnAddTr:ut,_fnNodeToDataIndex:function(t,e){return e._DT_RowIndex!==H?e._DT_RowIndex:null},_fnNodeToColumnIndex:function(t,e,n){return P.inArray(n,t.aoData[e].anCells)},_fnGetCellData:S,_fnSetCellData:ct,_fnSplitObjNotation:dt,_fnGetObjectDataFn:A,_fnSetObjectDataFn:b,_fnGetDataMaster:ht,_fnClearTable:pt,_fnDeleteIndex:gt,_fnInvalidate:bt,_fnGetRowElements:mt,_fnCreateTr:St,_fnBuildHead:yt,_fnDrawHead:Dt,_fnDraw:v,_fnReDraw:u,_fnAddOptionsHtml:_t,_fnDetectHeader:wt,_fnGetUniqueThs:Ct,_fnFeatureHtmlFilter:Lt,_fnFilterComplete:Rt,_fnFilterCustom:Pt,_fnFilterColumn:jt,_fnFilter:Ht,_fnFilterCreateSearch:Nt,_fnEscapeRegex:Ot,_fnFilterData:Wt,_fnFeatureHtmlInfo:Ut,_fnUpdateInfo:Vt,_fnInfoMacros:Xt,_fnInitialise:Jt,_fnInitComplete:qt,_fnLengthChange:$t,_fnFeatureHtmlLength:Gt,_fnFeatureHtmlPaginate:zt,_fnPageChange:Yt,_fnFeatureHtmlProcessing:Zt,_fnProcessingDisplay:D,_fnFeatureHtmlTable:Kt,_fnScrollDraw:Qt,_fnApplyToChildren:k,_fnCalculateColumnWidths:ee,_fnThrottle:ne,_fnConvertToWidth:ae,_fnGetWidestNode:re,_fnGetMaxLenString:oe,_fnStringToCss:M,_fnSortFlatten:I,_fnSort:ie,_fnSortAria:le,_fnSortListener:se,_fnSortAttachListener:ue,_fnSortingClasses:ce,_fnSortData:fe,_fnSaveState:de,_fnLoadState:he,_fnImplementState:pe,_fnSettingsFromNode:ge,_fnLog:W,_fnMap:F,_fnBindAction:me,_fnCallbackReg:L,_fnCallbackFire:R,_fnLengthOverflow:Se,_fnRenderer:ve,_fnDataSource:E,_fnRowAttributes:vt,_fnExtend:be,_fnCalculateEnd:function(){}}),((P.fn.dataTable=w).$=P).fn.dataTableSettings=w.settings,P.fn.dataTableExt=w.ext,P.fn.DataTable=function(t){return P(this).dataTable(t).api()},P.each(w,function(t,e){P.fn.DataTable[t]=e}),w});
\ No newline at end of file
diff --git a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index f0f8cf1310f00..2921e5b01e0f9 100644
--- a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -256,16 +256,16 @@ private[spark] object UIUtils extends Logging {
 
   def dataTablesHeaderNodes(request: HttpServletRequest): Seq[Node] = {
     <link rel="stylesheet"
-          href={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.2.min.css")}
+          href={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.5.min.css")}
           type="text/css"/>
     <link rel="stylesheet"
           href={prependBaseUri(request, "/static/jsonFormatter.min.css")} type="text/css"/>
     <link rel="stylesheet"
           href={prependBaseUri(request, "/static/webui-dataTables.css")} type="text/css"/>
-    <script src={prependBaseUri(request, "/static/jquery.dataTables.1.13.2.min.js")}></script>
+    <script src={prependBaseUri(request, "/static/jquery.dataTables.1.13.5.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.cookies.2.2.0.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.blockUI.min.js")}></script>
-    <script src={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.2.min.js")}></script>
+    <script src={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.5.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jsonFormatter.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.mustache.js")}></script>
   }
diff --git a/dev/.rat-excludes b/dev/.rat-excludes
index 15ddfddd0e895..4bd41fac11eee 100644
--- a/dev/.rat-excludes
+++ b/dev/.rat-excludes
@@ -35,12 +35,12 @@ vis-timeline-graph2d.min.js
 vis-timeline-graph2d.min.js.map
 vis-timeline-graph2d.min.css
 vis-timeline-graph2d.min.css.map
-dataTables.bootstrap4.1.13.2.min.css
-dataTables.bootstrap4.1.13.2.min.js
+dataTables.bootstrap4.*.min.css
+dataTables.bootstrap4.*.min.js
 dataTables.rowsGroup.js
 jquery.blockUI.min.js
 jquery.cookies.2.2.0.min.js
-jquery.dataTables.1.13.2.min.js
+jquery.dataTables.*.min.js
 jquery.mustache.js
 jsonFormatter.min.css
 jsonFormatter.min.js
diff --git a/licenses-binary/LICENSE-datatables.txt b/licenses-binary/LICENSE-datatables.txt
index d1fac3bfb144c..868a993191a12 100644
--- a/licenses-binary/LICENSE-datatables.txt
+++ b/licenses-binary/LICENSE-datatables.txt
@@ -1,7 +1,24 @@
-Copyright (C) 2008-2020, SpryMedia Ltd.
+DataTables | MIT license
+DataTables is available under the MIT license. In short, this means that you are free to use
+DataTables as you wish, including modifying and redistributing the code, as long as the original
+copyright notice is retained.
 
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+MIT license
+Copyright (C) 2008-2023, SpryMedia Ltd.
 
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+associated documentation files (the "Software"), to deal in the Software without restriction,
+including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
+and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do
+so, subject to the following conditions:
 
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+The above copyright notice and this permission notice shall be included in all copies or substantial
+portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/licenses/LICENSE-datatables.txt b/licenses/LICENSE-datatables.txt
index 35b8e139fb0d8..868a993191a12 100644
--- a/licenses/LICENSE-datatables.txt
+++ b/licenses/LICENSE-datatables.txt
@@ -1,7 +1,24 @@
-Copyright (C) 2008-2020, SpryMedia Ltd.
+DataTables | MIT license
+DataTables is available under the MIT license. In short, this means that you are free to use
+DataTables as you wish, including modifying and redistributing the code, as long as the original
+copyright notice is retained.
 
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+MIT license
+Copyright (C) 2008-2023, SpryMedia Ltd.
 
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+associated documentation files (the "Software"), to deal in the Software without restriction,
+including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
+and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do
+so, subject to the following conditions:
 
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
\ No newline at end of file
+The above copyright notice and this permission notice shall be included in all copies or substantial
+portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

From efca188b7b33d0c0fe3cf9ca83286741f7f57dc7 Mon Sep 17 00:00:00 2001
From: Ziqi Liu <ziqi.liu@databricks.com>
Date: Sat, 22 Jul 2023 16:43:31 +0900
Subject: [PATCH 042/986] [SPARK-44485][SQL] Optimize
 TreeNode.generateTreeString
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Optimize several critical code path in `TreeNode.generateTreeString`

### Why are the changes needed?

In `TreeNode.generateTreeString`, we observed inefficiency in scala collection operations and virtual function call in our internal workload.

This inefficiency become significant in large plan (we hit a example of more than 1000 nodes). So it’s worth optimizing the super hot code path. By rewriting into native Java code(not so sweet as scala syntax sugar though), we should be able to get rid of most of the overhead.

- `ArrayBuffer.append`
<img width="440" alt="itable1" src="https://github.com/apache/spark/assets/22358241/3e1d2e5e-1eeb-46ef-ab7a-20f4cb75f602">

- `Seq.last`
<img width="302" alt="itable2" src="https://github.com/apache/spark/assets/22358241/23f29695-8a01-4c8e-b75a-148a92278c2b">

- `SeqLike.$colon$plus`
<img width="281" alt="itable3" src="https://github.com/apache/spark/assets/22358241/f0526746-62d0-4556-99be-04a24ab805d2">

- `StringOps.$times`
<img width="334" alt="itable4" src="https://github.com/apache/spark/assets/22358241/3a46f18e-7027-421e-aa5a-130d02e1c19c">

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing UTs

Closes #42095 from liuzqt/SPARK-44485.

Authored-by: Ziqi Liu <ziqi.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 09c44fd05d10dccc131885f94a61da0885de0ad0)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/catalyst/util/StringUtils.scala |  8 ++---
 .../spark/sql/catalyst/trees/TreeNode.scala   | 35 ++++++++++++++-----
 .../spark/sql/catalyst/util/StringUtils.scala |  2 +-
 .../sql/execution/WholeStageCodegenExec.scala |  4 +--
 .../adaptive/AdaptiveSparkPlanExec.scala      |  8 +++--
 .../execution/adaptive/QueryStageExec.scala   |  6 ++--
 .../execution/basicPhysicalOperators.scala    |  2 +-
 7 files changed, 42 insertions(+), 23 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
index c12a1f50daafa..20fb8bb94bda6 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
@@ -18,8 +18,6 @@ package org.apache.spark.sql.catalyst.util
 
 import java.util.concurrent.atomic.AtomicBoolean
 
-import scala.collection.mutable.ArrayBuffer
-
 import org.apache.spark.internal.Logging
 import org.apache.spark.unsafe.array.ByteArrayUtils
 
@@ -29,7 +27,7 @@ import org.apache.spark.unsafe.array.ByteArrayUtils
  * the string.
  */
 class StringConcat(val maxLength: Int = ByteArrayUtils.MAX_ROUNDED_ARRAY_LENGTH) {
-  protected val strings = new ArrayBuffer[String]
+  protected val strings = new java.util.ArrayList[String]
   protected var length: Int = 0
 
   def atLimit: Boolean = length >= maxLength
@@ -45,7 +43,7 @@ class StringConcat(val maxLength: Int = ByteArrayUtils.MAX_ROUNDED_ARRAY_LENGTH)
       if (!atLimit) {
         val available = maxLength - length
         val stringToAppend = if (available >= sLen) s else s.substring(0, available)
-        strings.append(stringToAppend)
+        strings.add(stringToAppend)
       }
 
       // Keeps the total length of appended strings. Note that we need to cap the length at
@@ -62,7 +60,7 @@ class StringConcat(val maxLength: Int = ByteArrayUtils.MAX_ROUNDED_ARRAY_LENGTH)
   override def toString: String = {
     val finalLength = if (atLimit) maxLength else length
     val result = new java.lang.StringBuilder(finalLength)
-    strings.foreach(result.append)
+    strings.forEach(s => result.append(s))
     result.toString
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
index 8d3f81666f8ab..9e605a45414be 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
@@ -936,7 +936,8 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
       addSuffix: Boolean,
       maxFields: Int,
       printOperatorId: Boolean): Unit = {
-    generateTreeString(0, Nil, append, verbose, "", addSuffix, maxFields, printOperatorId, 0)
+    generateTreeString(0, new java.util.ArrayList(), append, verbose, "", addSuffix, maxFields,
+      printOperatorId, 0)
   }
 
   /**
@@ -998,7 +999,7 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
    */
   def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",
@@ -1006,12 +1007,14 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
       maxFields: Int,
       printNodeId: Boolean,
       indent: Int = 0): Unit = {
-    append("   " * indent)
+    (0 until indent).foreach(_ => append("   "))
     if (depth > 0) {
-      lastChildren.init.foreach { isLast =>
+      val iter = lastChildren.iterator
+      (0 until lastChildren.size - 1).foreach { i =>
+        val isLast = iter.next
         append(if (isLast) "   " else ":  ")
       }
-      append(if (lastChildren.last) "+- " else ":- ")
+      append(if (lastChildren.get(lastChildren.size() - 1)) "+- " else ":- ")
     }
 
     val str = if (verbose) {
@@ -1028,22 +1031,36 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
     append("\n")
 
     if (innerChildren.nonEmpty) {
+      lastChildren.add(children.isEmpty)
+      lastChildren.add(false)
       innerChildren.init.foreach(_.generateTreeString(
-        depth + 2, lastChildren :+ children.isEmpty :+ false, append, verbose,
+        depth + 2, lastChildren, append, verbose,
         addSuffix = addSuffix, maxFields = maxFields, printNodeId = printNodeId, indent = indent))
+      lastChildren.remove(lastChildren.size() - 1)
+      lastChildren.remove(lastChildren.size() - 1)
+
+      lastChildren.add(children.isEmpty)
+      lastChildren.add(true)
       innerChildren.last.generateTreeString(
-        depth + 2, lastChildren :+ children.isEmpty :+ true, append, verbose,
+        depth + 2, lastChildren, append, verbose,
         addSuffix = addSuffix, maxFields = maxFields, printNodeId = printNodeId, indent = indent)
+      lastChildren.remove(lastChildren.size() - 1)
+      lastChildren.remove(lastChildren.size() - 1)
     }
 
     if (children.nonEmpty) {
+      lastChildren.add(false)
       children.init.foreach(_.generateTreeString(
-        depth + 1, lastChildren :+ false, append, verbose, prefix, addSuffix,
+        depth + 1, lastChildren, append, verbose, prefix, addSuffix,
         maxFields, printNodeId = printNodeId, indent = indent)
       )
+      lastChildren.remove(lastChildren.size() - 1)
+
+      lastChildren.add(true)
       children.last.generateTreeString(
-        depth + 1, lastChildren :+ true, append, verbose, prefix,
+        depth + 1, lastChildren, append, verbose, prefix,
         addSuffix, maxFields, printNodeId = printNodeId, indent = indent)
+      lastChildren.remove(lastChildren.size() - 1)
     }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
index ccf6e5b57acf8..f6d76bd139d81 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
@@ -145,7 +145,7 @@ object StringUtils extends Logging {
           s"... ${length - maxLength} more characters"
         }
         val result = new java.lang.StringBuilder(maxLength + truncateMsg.length)
-        strings.foreach(result.append)
+        strings.forEach(s => result.append(s))
         result.append(truncateMsg)
         result.toString
       } else {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
index ddc2cfb56d4f6..5fc51cc6e310b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
@@ -534,7 +534,7 @@ case class InputAdapter(child: SparkPlan) extends UnaryExecNode with InputRDDCod
 
   override def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",
@@ -800,7 +800,7 @@ case class WholeStageCodegenExec(child: SparkPlan)(val codegenStageId: Int)
 
   override def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
index 26c95c0fedd10..36895b17aa847 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
@@ -408,7 +408,7 @@ case class AdaptiveSparkPlanExec(
 
   override def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",
@@ -427,9 +427,10 @@ case class AdaptiveSparkPlanExec(
       printNodeId,
       indent)
     if (currentPhysicalPlan.fastEquals(initialPlan)) {
+      lastChildren.add(true)
       currentPhysicalPlan.generateTreeString(
         depth + 1,
-        lastChildren :+ true,
+        lastChildren,
         append,
         verbose,
         prefix = "",
@@ -437,6 +438,7 @@ case class AdaptiveSparkPlanExec(
         maxFields,
         printNodeId,
         indent)
+      lastChildren.remove(lastChildren.size() - 1)
     } else {
       generateTreeStringWithHeader(
         if (isFinalPlan) "Final Plan" else "Current Plan",
@@ -470,7 +472,7 @@ case class AdaptiveSparkPlanExec(
     append(s"+- == $header ==\n")
     plan.generateTreeString(
       0,
-      Nil,
+      new java.util.ArrayList(),
       append,
       verbose,
       prefix = "",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
index c6234a4072604..b941feb12fc05 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
@@ -110,7 +110,7 @@ abstract class QueryStageExec extends LeafExecNode {
 
   override def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",
@@ -127,8 +127,10 @@ abstract class QueryStageExec extends LeafExecNode {
       maxFields,
       printNodeId,
       indent)
+    lastChildren.add(true)
     plan.generateTreeString(
-      depth + 1, lastChildren :+ true, append, verbose, "", false, maxFields, printNodeId, indent)
+      depth + 1, lastChildren, append, verbose, "", false, maxFields, printNodeId, indent)
+    lastChildren.remove(lastChildren.size() - 1)
   }
 
   override protected[sql] def cleanupResources(): Unit = {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/basicPhysicalOperators.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/basicPhysicalOperators.scala
index 68f056d894b9f..2fd7993550708 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/basicPhysicalOperators.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/basicPhysicalOperators.scala
@@ -783,7 +783,7 @@ abstract class BaseSubqueryExec extends SparkPlan {
 
   override def generateTreeString(
       depth: Int,
-      lastChildren: Seq[Boolean],
+      lastChildren: java.util.ArrayList[Boolean],
       append: String => Unit,
       verbose: Boolean,
       prefix: String = "",

From 07d3e8e52878ea9631d4757b67119a18fbdf0230 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Sat, 22 Jul 2023 16:49:14 +0900
Subject: [PATCH 043/986] [SPARK-44380][PYTHON][FOLLOWUP] Set __doc__ for
 analyze static method when Arrow is enabled

### What changes were proposed in this pull request?

This is a follow-up of apache/spark#41948.

Set `__doc__` for `analyze` static method when Arrow is enabled.

### Why are the changes needed?

When Arrow is enabled, `analyze` static method doesn't have `__doc__` that should be the same as the original contents.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Updated the related tests.

Closes #42111 from ueshin/issues/SPARK-44380/analyze_doc.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 784b942196bb08a7959222f549722c6db3a3588e)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_udtf.py | 8 +++++++-
 python/pyspark/sql/udtf.py            | 3 +++
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 2c76d2f7e152e..0fdb1c9b8a125 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -728,6 +728,11 @@ def __init__(self):
                 """Initialize the UDTF"""
                 ...
 
+            @staticmethod
+            def analyze(x: AnalyzeArgument) -> AnalyzeResult:
+                """Analyze the argument."""
+                ...
+
             def eval(self, x: int):
                 """Evaluate the input row."""
                 yield x + 1,
@@ -736,9 +741,10 @@ def terminate(self):
                 """Terminate the UDTF."""
                 ...
 
-        cls = udtf(TestUDTF, returnType="y: int").func
+        cls = udtf(TestUDTF).func
         self.assertIn("A UDTF for test", cls.__doc__)
         self.assertIn("Initialize the UDTF", cls.__init__.__doc__)
+        self.assertIn("Analyze the argument", cls.analyze.__doc__)
         self.assertIn("Evaluate the input row", cls.eval.__doc__)
         self.assertIn("Terminate the UDTF", cls.terminate.__doc__)
 
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index 3ab7419309396..e930daa9f517e 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -134,6 +134,9 @@ def terminate(self) -> Iterator[pd.DataFrame]:
     if hasattr(cls, "terminate"):
         getattr(vectorized_udtf, "terminate").__doc__ = getattr(cls, "terminate").__doc__
 
+    if hasattr(vectorized_udtf, "analyze"):
+        getattr(vectorized_udtf, "analyze").__doc__ = getattr(cls, "analyze").__doc__
+
     return vectorized_udtf
 
 

From 6e19fb2853b26b5da3f02bc829e0c05e52d5a929 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Sat, 22 Jul 2023 16:50:27 +0900
Subject: [PATCH 044/986] [MINOR][CONNECT] Remove redundant type cast in
 `ArtifactManager`

### What changes were proposed in this pull request?
This pr just remove redundant type cast in `ArtifactManager`

### Why are the changes needed?
remove redundant type cast.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

Closes #42107 from LuciferYang/redundant-cast.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 49401c7a679c807abd25613648bd156a221ccc7b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/connect/client/ArtifactManager.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
index b24c36ea474de..a0158170a5b9b 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
@@ -219,7 +219,7 @@ class ArtifactManager(
       .setUserContext(userContext)
       .setSessionId(sessionId)
     artifacts.foreach { artifact =>
-      val in = new CheckedInputStream(artifact.storage.asInstanceOf[LocalData].stream, new CRC32)
+      val in = new CheckedInputStream(artifact.storage.stream, new CRC32)
       try {
         val data = proto.AddArtifactsRequest.ArtifactChunk
           .newBuilder()
@@ -274,7 +274,7 @@ class ArtifactManager(
       .setUserContext(userContext)
       .setSessionId(sessionId)
 
-    val in = new CheckedInputStream(artifact.storage.asInstanceOf[LocalData].stream, new CRC32)
+    val in = new CheckedInputStream(artifact.storage.stream, new CRC32)
     try {
       // First RPC contains the `BeginChunkedArtifact` payload (`begin_chunk`).
       // Subsequent RPCs contains the `ArtifactChunk` payload (`chunk`).

From b9d6b9a26589100db682bb6b6d66eb0fb49df85e Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Sat, 22 Jul 2023 19:53:04 -0400
Subject: [PATCH 045/986] [SPARK-44496][SQL][CONNECT] Move Interfaces needed by
 SCSC to sql/api

### What changes were proposed in this pull request?

This PR moves some interfaces and utils that are needed by scala client to sql/api.

### Why are the changes needed?

So that scala client does not need to depend on Spark.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

UT

Closes #42092 from amaliujia/row_coder.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 515dfc166a95ecc8decce0f0cd99e06fe395f94f)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../api/java/function/CoGroupFunction.java    |  0
 .../java/function/DoubleFlatMapFunction.java  |  0
 .../api/java/function/DoubleFunction.java     |  0
 .../api/java/function/FilterFunction.java     |  0
 .../api/java/function/FlatMapFunction.java    |  0
 .../api/java/function/FlatMapFunction2.java   |  0
 .../java/function/FlatMapGroupsFunction.java  |  0
 .../api/java/function/ForeachFunction.java    |  0
 .../function/ForeachPartitionFunction.java    |  0
 .../spark/api/java/function/Function.java     |  0
 .../spark/api/java/function/Function0.java    |  0
 .../spark/api/java/function/Function2.java    |  0
 .../spark/api/java/function/Function3.java    |  0
 .../spark/api/java/function/Function4.java    |  0
 .../spark/api/java/function/MapFunction.java  |  0
 .../api/java/function/MapGroupsFunction.java  |  0
 .../java/function/MapPartitionsFunction.java  |  0
 .../java/function/PairFlatMapFunction.java    |  0
 .../spark/api/java/function/PairFunction.java |  0
 .../api/java/function/ReduceFunction.java     |  0
 .../spark/api/java/function/VoidFunction.java |  0
 .../api/java/function/VoidFunction2.java      |  0
 .../spark/api/java/function/package-info.java |  0
 .../spark/api/java/function/package.scala     |  0
 .../apache/spark/util/SparkClassUtils.scala   |  4 ++
 connector/connect/client/jvm/pom.xml          |  5 ++
 .../scala/org/apache/spark/sql/Column.scala   |  4 +-
 .../apache/spark/sql/DataFrameReader.scala    |  8 +--
 .../scala/org/apache/spark/sql/Dataset.scala  | 12 ++--
 .../scala/org/apache/spark/util/Utils.scala   |  1 -
 project/MimaExcludes.scala                    | 29 +++++++++
 .../scala/org/apache/spark/sql/Encoder.scala  |  0
 .../main/scala/org/apache/spark/sql/Row.scala |  6 +-
 .../org/apache/spark/sql/SqlApiConf.scala     |  2 +
 .../catalyst/encoders/AgnosticEncoder.scala   |  4 +-
 .../sql/catalyst/expressions/GenericRow.scala | 39 ++++++++++++
 .../sql/catalyst/expressions/OrderUtils.scala | 33 ++++++++++
 .../catalyst/util/SparkCharVarcharUtils.scala | 60 +++++++++++++++++++
 .../spark/sql/errors/DataTypeErrors.scala     | 28 +++++++++
 .../sql/catalyst/expressions/ordering.scala   |  9 +--
 .../spark/sql/catalyst/expressions/rows.scala | 21 -------
 .../sql/catalyst/util/CharVarcharUtils.scala  | 38 +-----------
 .../sql/errors/QueryCompilationErrors.scala   |  8 +--
 .../sql/errors/QueryExecutionErrors.scala     | 10 +---
 .../spark/sql/CharVarcharTestSuite.scala      | 28 ++++-----
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala |  4 +-
 .../sql/test/DataFrameReaderWriterSuite.scala | 12 ++--
 47 files changed, 243 insertions(+), 122 deletions(-)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/CoGroupFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/DoubleFlatMapFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/DoubleFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/FilterFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/FlatMapFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/FlatMapFunction2.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/ForeachFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/ForeachPartitionFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/Function.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/Function0.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/Function2.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/Function3.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/Function4.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/MapFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/MapGroupsFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/MapPartitionsFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/PairFlatMapFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/PairFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/ReduceFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/VoidFunction.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/VoidFunction2.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/package-info.java (100%)
 rename {core => common/utils}/src/main/java/org/apache/spark/api/java/function/package.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/Encoder.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/Row.scala (98%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala (98%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/OrderUtils.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala

diff --git a/core/src/main/java/org/apache/spark/api/java/function/CoGroupFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/CoGroupFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/CoGroupFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/CoGroupFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/DoubleFlatMapFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/DoubleFlatMapFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/DoubleFlatMapFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/DoubleFlatMapFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/DoubleFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/DoubleFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/DoubleFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/DoubleFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/FilterFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/FilterFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/FilterFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/FilterFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/FlatMapFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/FlatMapFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/FlatMapFunction2.java b/common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapFunction2.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/FlatMapFunction2.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapFunction2.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/ForeachFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/ForeachFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/ForeachFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/ForeachFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/ForeachPartitionFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/ForeachPartitionFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/ForeachPartitionFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/ForeachPartitionFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/Function.java b/common/utils/src/main/java/org/apache/spark/api/java/function/Function.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/Function.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/Function.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/Function0.java b/common/utils/src/main/java/org/apache/spark/api/java/function/Function0.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/Function0.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/Function0.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/Function2.java b/common/utils/src/main/java/org/apache/spark/api/java/function/Function2.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/Function2.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/Function2.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/Function3.java b/common/utils/src/main/java/org/apache/spark/api/java/function/Function3.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/Function3.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/Function3.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/Function4.java b/common/utils/src/main/java/org/apache/spark/api/java/function/Function4.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/Function4.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/Function4.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/MapFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/MapFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/MapFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/MapFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/MapGroupsFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/MapGroupsFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/MapGroupsFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/MapGroupsFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/MapPartitionsFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/MapPartitionsFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/MapPartitionsFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/MapPartitionsFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/PairFlatMapFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/PairFlatMapFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/PairFlatMapFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/PairFlatMapFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/PairFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/PairFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/PairFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/PairFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/ReduceFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/ReduceFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/ReduceFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/ReduceFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/VoidFunction.java b/common/utils/src/main/java/org/apache/spark/api/java/function/VoidFunction.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/VoidFunction.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/VoidFunction.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/VoidFunction2.java b/common/utils/src/main/java/org/apache/spark/api/java/function/VoidFunction2.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/VoidFunction2.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/VoidFunction2.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/package-info.java b/common/utils/src/main/java/org/apache/spark/api/java/function/package-info.java
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/package-info.java
rename to common/utils/src/main/java/org/apache/spark/api/java/function/package-info.java
diff --git a/core/src/main/java/org/apache/spark/api/java/function/package.scala b/common/utils/src/main/java/org/apache/spark/api/java/function/package.scala
similarity index 100%
rename from core/src/main/java/org/apache/spark/api/java/function/package.scala
rename to common/utils/src/main/java/org/apache/spark/api/java/function/package.scala
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
index 7401e3762417f..a237869aef3bb 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
@@ -16,9 +16,13 @@
  */
 package org.apache.spark.util
 
+import java.util.Random
+
 import scala.util.Try
 
 trait SparkClassUtils {
+  val random = new Random()
+
   def getSparkClassLoader: ClassLoader = getClass.getClassLoader
 
   def getContextOrSparkClassLoader: ClassLoader =
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 0f6783cbd685b..f60e60890c058 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -64,6 +64,11 @@
       <artifactId>spark-common-utils_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
     </dependency>
+    <dependency>
+      <groupId>org.apache.spark</groupId>
+      <artifactId>spark-sketch_${scala.binary.version}</artifactId>
+      <version>${project.version}</version>
+    </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
       <artifactId>protobuf-java</artifactId>
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Column.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Column.scala
index 6a660a7482e27..4a527040d80cf 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Column.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Column.scala
@@ -24,7 +24,7 @@ import org.apache.spark.connect.proto.Expression.SortOrder.NullOrdering
 import org.apache.spark.connect.proto.Expression.SortOrder.SortDirection
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
-import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
+import org.apache.spark.sql.catalyst.parser.DataTypeParser
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter
 import org.apache.spark.sql.expressions.Window
 import org.apache.spark.sql.functions.lit
@@ -1087,7 +1087,7 @@ class Column private[sql] (@DeveloperApi val expr: proto.Expression) extends Log
    * @group expr_ops
    * @since 3.4.0
    */
-  def cast(to: String): Column = cast(CatalystSqlParser.parseDataType(to))
+  def cast(to: String): Column = cast(DataTypeParser.parseDataType(to))
 
   /**
    * Returns a sort expression based on the descending order of the column.
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameReader.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
index 40f9ac1df2b22..10d2af094a08c 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
@@ -25,9 +25,9 @@ import org.apache.spark.annotation.Stable
 import org.apache.spark.connect.proto.Parse.ParseFormat
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
-import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, CharVarcharUtils}
+import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, SparkCharVarcharUtils}
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter
-import org.apache.spark.sql.errors.QueryCompilationErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types.StructType
 
 /**
@@ -58,7 +58,7 @@ class DataFrameReader private[sql] (sparkSession: SparkSession) extends Logging
    */
   def schema(schema: StructType): DataFrameReader = {
     if (schema != null) {
-      val replaced = CharVarcharUtils.failIfHasCharVarchar(schema).asInstanceOf[StructType]
+      val replaced = SparkCharVarcharUtils.failIfHasCharVarchar(schema).asInstanceOf[StructType]
       this.userSpecifiedSchema = Option(replaced)
     }
     this
@@ -563,7 +563,7 @@ class DataFrameReader private[sql] (sparkSession: SparkSession) extends Logging
    */
   private def assertNoSpecifiedSchema(operation: String): Unit = {
     if (userSpecifiedSchema.nonEmpty) {
-      throw QueryCompilationErrors.userSpecifiedSchemaUnsupportedError(operation)
+      throw DataTypeErrors.userSpecifiedSchemaUnsupportedError(operation)
     }
   }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 47e361c96795b..b0dd91293a0be 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -29,7 +29,7 @@ import org.apache.spark.api.java.function._
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
-import org.apache.spark.sql.catalyst.expressions.RowOrdering
+import org.apache.spark.sql.catalyst.expressions.OrderUtils
 import org.apache.spark.sql.connect.client.SparkResult
 import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, StorageLevelProtoConverter, UdfUtils}
 import org.apache.spark.sql.expressions.ScalarUserDefinedFunction
@@ -37,7 +37,7 @@ import org.apache.spark.sql.functions.{struct, to_json}
 import org.apache.spark.sql.streaming.DataStreamWriter
 import org.apache.spark.sql.types.{Metadata, StructType}
 import org.apache.spark.storage.StorageLevel
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * A Dataset is a strongly typed collection of domain-specific objects that can be transformed in
@@ -876,7 +876,7 @@ class Dataset[T] private[sql] (
 
     val tupleEncoder =
       ProductEncoder[(T, U)](
-        ClassTag(Utils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple2")),
+        ClassTag(SparkClassUtils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple2")),
         Seq(
           EncoderField(s"_1", this.encoder, leftNullable, Metadata.empty),
           EncoderField(s"_2", other.encoder, rightNullable, Metadata.empty)))
@@ -2035,7 +2035,7 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   def sample(withReplacement: Boolean, fraction: Double): Dataset[T] = {
-    sample(withReplacement, fraction, Utils.random.nextLong)
+    sample(withReplacement, fraction, SparkClassUtils.random.nextLong)
   }
 
   /**
@@ -2069,7 +2069,7 @@ class Dataset[T] private[sql] (
     //  between construction and execution the query might fail or produce wrong results. Another
     //  problem can come from data that arrives between the execution of the returned datasets.
     val sortOrder = schema.collect {
-      case f if RowOrdering.isOrderable(f.dataType) => col(f.name).asc
+      case f if OrderUtils.isOrderable(f.dataType) => col(f.name).asc
     }
     val sortedInput = sortWithinPartitions(sortOrder: _*).plan.getRoot
     val sum = weights.sum
@@ -2114,7 +2114,7 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   def randomSplit(weights: Array[Double]): Array[Dataset[T]] = {
-    randomSplit(weights, Utils.random.nextLong)
+    randomSplit(weights, SparkClassUtils.random.nextLong)
   }
 
   private def withColumns(names: Seq[String], values: Seq[Column]): DataFrame = {
diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 5c9eea7a15176..2d61b1b6305fc 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -92,7 +92,6 @@ private[spark] object CallSite {
  * Various utility methods used by Spark.
  */
 private[spark] object Utils extends Logging with SparkClassUtils {
-  val random = new Random()
 
   private val sparkUncaughtExceptionHandler = new SparkUncaughtExceptionHandler
   @volatile private var cachedLocalDir: String = ""
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index d727c8c6917cd..3b4f0796ec112 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -170,6 +170,35 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ObjectType"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.ObjectType$"),
 
+    // SPARK-44496: Move Interfaces needed by SCSC to sql/api.
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.Encoder"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.Row"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.Row$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.package"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.package$"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.CoGroupFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.DoubleFlatMapFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.DoubleFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FilterFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FlatMapFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FlatMapFunction2"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FlatMapGroupsFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.ForeachFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.ForeachPartitionFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.Function"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.Function0"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.Function2"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.Function3"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.Function4"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.MapFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.MapGroupsFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.MapPartitionsFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.PairFlatMapFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.PairFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.ReduceFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.VoidFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.VoidFunction2"),
+
     (problem: Problem) => problem match {
       case MissingClassProblem(cls) => !cls.fullName.startsWith("org.sparkproject.jpmml") &&
           !cls.fullName.startsWith("org.sparkproject.dmg.pmml")
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/Encoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/Encoder.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/Encoder.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/Encoder.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala b/sql/api/src/main/scala/org/apache/spark/sql/Row.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/Row.scala
index d223da6503fa2..1765a5444df0f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/Row.scala
@@ -22,7 +22,7 @@ import scala.util.hashing.MurmurHash3
 
 import org.apache.spark.annotation.Stable
 import org.apache.spark.sql.catalyst.expressions.GenericRow
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types._
 
 /**
@@ -366,7 +366,7 @@ trait Row extends Serializable {
    * @throws IllegalArgumentException when a field `name` does not exist.
    */
   def fieldIndex(name: String): Int = {
-    throw QueryExecutionErrors.fieldIndexOnRowWithoutSchemaError()
+    throw DataTypeErrors.fieldIndexOnRowWithoutSchemaError()
   }
 
   /**
@@ -511,6 +511,6 @@ trait Row extends Serializable {
    * @throws NullPointerException when value is null.
    */
   private def getAnyValAs[T <: AnyVal](i: Int): T =
-    if (isNullAt(i)) throw QueryExecutionErrors.valueIsNullError(i)
+    if (isNullAt(i)) throw DataTypeErrors.valueIsNullError(i)
     else getAs[T](i)
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
index c297a2e067a3d..48efa5106662c 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
@@ -40,6 +40,7 @@ private[sql] trait SqlApiConf {
   def doubleQuotedIdentifiers: Boolean
   def timestampType: AtomicType
   def allowNegativeScaleOfDecimalEnabled: Boolean
+  def charVarcharAsString: Boolean
 }
 
 private[sql] object SqlApiConf {
@@ -74,4 +75,5 @@ private[sql] object DefaultSqlApiConf extends SqlApiConf {
   override def doubleQuotedIdentifiers: Boolean = false
   override def timestampType: AtomicType = TimestampType
   override def allowNegativeScaleOfDecimalEnabled: Boolean = false
+  override def charVarcharAsString: Boolean = false
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
similarity index 98%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
index e2c6452b7dfd2..99f33214d20ed 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
@@ -26,7 +26,7 @@ import scala.reflect.{classTag, ClassTag}
 import org.apache.spark.sql.{Encoder, Row}
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * A non implementation specific encoder. This encoder containers all the information needed
@@ -122,7 +122,7 @@ object AgnosticEncoders {
         case (e, id) => EncoderField(s"_${id + 1}", e, e.nullable, Metadata.empty)
       }
       val cls = cachedCls.computeIfAbsent(encoders.size,
-        _ => Utils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple${encoders.size}"))
+        _ => SparkClassUtils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple${encoders.size}"))
       ProductEncoder[Any](ClassTag(cls), fields)
     }
 
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala
new file mode 100644
index 0000000000000..f4b45f5928ed7
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala
@@ -0,0 +1,39 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.sql.Row
+
+/**
+ * A row implementation that uses an array of objects as the underlying storage.  Note that, while
+ * the array is not copied, and thus could technically be mutated after creation, this is not
+ * allowed.
+ */
+class GenericRow(protected[sql] val values: Array[Any]) extends Row {
+  /** No-arg constructor for serialization. */
+  protected def this() = this(null)
+
+  def this(size: Int) = this(new Array[Any](size))
+
+  override def length: Int = values.length
+
+  override def get(i: Int): Any = values(i)
+
+  override def toSeq: Seq[Any] = values.clone()
+
+  override def copy(): GenericRow = this
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/OrderUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/OrderUtils.scala
new file mode 100644
index 0000000000000..9319b104024a0
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/OrderUtils.scala
@@ -0,0 +1,33 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.sql.types.{ArrayType, AtomicType, DataType, NullType, StructType, UserDefinedType}
+
+object OrderUtils {
+  /**
+   * Returns true iff the data type can be ordered (i.e. can be sorted).
+   */
+  def isOrderable(dataType: DataType): Boolean = dataType match {
+    case NullType => true
+    case dt: AtomicType => true
+    case struct: StructType => struct.fields.forall(f => isOrderable(f.dataType))
+    case array: ArrayType => isOrderable(array.elementType)
+    case udt: UserDefinedType[_] => isOrderable(udt.sqlType)
+    case _ => false
+  }
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala
new file mode 100644
index 0000000000000..47b3ef9b05a86
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.util
+
+import org.apache.spark.sql.SqlApiConf
+import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.types.{ArrayType, CharType, DataType, MapType, StringType, StructType, VarcharType}
+
+trait SparkCharVarcharUtils {
+  /**
+   * Returns true if the given data type is CharType/VarcharType or has nested CharType/VarcharType.
+   */
+  def hasCharVarchar(dt: DataType): Boolean = {
+    dt.existsRecursively(f => f.isInstanceOf[CharType] || f.isInstanceOf[VarcharType])
+  }
+
+  /**
+   * Validate the given [[DataType]] to fail if it is char or varchar types or contains nested ones
+   */
+  def failIfHasCharVarchar(dt: DataType): DataType = {
+    if (!SqlApiConf.get.charVarcharAsString && hasCharVarchar(dt)) {
+      throw DataTypeErrors.charOrVarcharTypeAsStringUnsupportedError()
+    } else {
+      replaceCharVarcharWithString(dt)
+    }
+  }
+
+  /**
+   * Replaces CharType/VarcharType with StringType recursively in the given data type.
+   */
+  def replaceCharVarcharWithString(dt: DataType): DataType = dt match {
+    case ArrayType(et, nullable) =>
+      ArrayType(replaceCharVarcharWithString(et), nullable)
+    case MapType(kt, vt, nullable) =>
+      MapType(replaceCharVarcharWithString(kt), replaceCharVarcharWithString(vt), nullable)
+    case StructType(fields) =>
+      StructType(fields.map { field =>
+        field.copy(dataType = replaceCharVarcharWithString(field.dataType))
+      })
+    case _: CharType => StringType
+    case _: VarcharType => StringType
+    case _ => dt
+  }
+}
+
+object SparkCharVarcharUtils extends SparkCharVarcharUtils
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
index 69156e1165877..fcc3086b57310 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
@@ -267,4 +267,32 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
       errorClass = "FAILED_PARSE_STRUCT_TYPE",
       messageParameters = Map("raw" -> s"'$raw'"))
   }
+
+  def fieldIndexOnRowWithoutSchemaError(): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2231",
+      messageParameters = Map.empty)
+  }
+
+  def valueIsNullError(index: Int): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_2232",
+      messageParameters = Map(
+        "index" -> index.toString),
+      cause = null)
+  }
+
+  def charOrVarcharTypeAsStringUnsupportedError(): Throwable = {
+    new SparkException(
+      errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING",
+      messageParameters = Map.empty,
+      cause = null)
+  }
+
+  def userSpecifiedSchemaUnsupportedError(operation: String): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_1189",
+      messageParameters = Map("operation" -> operation),
+      cause = null)
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ordering.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ordering.scala
index ab68eb266cb38..41c68d439a284 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ordering.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ordering.scala
@@ -91,14 +91,7 @@ object RowOrdering extends CodeGeneratorWithInterpretedFallback[Seq[SortOrder],
   /**
    * Returns true iff the data type can be ordered (i.e. can be sorted).
    */
-  def isOrderable(dataType: DataType): Boolean = dataType match {
-    case NullType => true
-    case dt: AtomicType => true
-    case struct: StructType => struct.fields.forall(f => isOrderable(f.dataType))
-    case array: ArrayType => isOrderable(array.elementType)
-    case udt: UserDefinedType[_] => isOrderable(udt.sqlType)
-    case _ => false
-  }
+  def isOrderable(dataType: DataType): Boolean = OrderUtils.isOrderable(dataType)
 
   /**
    * Returns true iff outputs from the expressions can be ordered.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
index 65539a2f00e6c..10c33a43270cf 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
@@ -17,7 +17,6 @@
 
 package org.apache.spark.sql.catalyst.expressions
 
-import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.util.{ArrayData, MapData}
 import org.apache.spark.sql.types._
@@ -158,26 +157,6 @@ trait BaseGenericInternalRow extends InternalRow {
   }
 }
 
-/**
- * A row implementation that uses an array of objects as the underlying storage.  Note that, while
- * the array is not copied, and thus could technically be mutated after creation, this is not
- * allowed.
- */
-class GenericRow(protected[sql] val values: Array[Any]) extends Row {
-  /** No-arg constructor for serialization. */
-  protected def this() = this(null)
-
-  def this(size: Int) = this(new Array[Any](size))
-
-  override def length: Int = values.length
-
-  override def get(i: Int): Any = values(i)
-
-  override def toSeq: Seq[Any] = values.clone()
-
-  override def copy(): GenericRow = this
-}
-
 class GenericRowWithSchema(values: Array[Any], override val schema: StructType)
   extends GenericRow(values) {
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
index 4481063435847..b9d83d444909d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
@@ -23,11 +23,10 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
-import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 
-object CharVarcharUtils extends Logging {
+object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
 
   private val CHAR_VARCHAR_TYPE_STRING_METADATA_KEY = "__CHAR_VARCHAR_TYPE_STRING"
 
@@ -49,41 +48,6 @@ object CharVarcharUtils extends Logging {
     })
   }
 
-  /**
-   * Returns true if the given data type is CharType/VarcharType or has nested CharType/VarcharType.
-   */
-  def hasCharVarchar(dt: DataType): Boolean = {
-    dt.existsRecursively(f => f.isInstanceOf[CharType] || f.isInstanceOf[VarcharType])
-  }
-
-  /**
-   * Validate the given [[DataType]] to fail if it is char or varchar types or contains nested ones
-   */
-  def failIfHasCharVarchar(dt: DataType): DataType = {
-    if (!SQLConf.get.charVarcharAsString && hasCharVarchar(dt)) {
-      throw QueryCompilationErrors.charOrVarcharTypeAsStringUnsupportedError()
-    } else {
-      replaceCharVarcharWithString(dt)
-    }
-  }
-
-  /**
-   * Replaces CharType/VarcharType with StringType recursively in the given data type.
-   */
-  def replaceCharVarcharWithString(dt: DataType): DataType = dt match {
-    case ArrayType(et, nullable) =>
-      ArrayType(replaceCharVarcharWithString(et), nullable)
-    case MapType(kt, vt, nullable) =>
-      MapType(replaceCharVarcharWithString(kt), replaceCharVarcharWithString(vt), nullable)
-    case StructType(fields) =>
-      StructType(fields.map { field =>
-        field.copy(dataType = replaceCharVarcharWithString(field.dataType))
-      })
-    case _: CharType => StringType
-    case _: VarcharType => StringType
-    case _ => dt
-  }
-
   /**
    * Replaces CharType with VarcharType recursively in the given data type.
    */
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 6fd20b7c34a16..957c8cb334b8d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -2001,9 +2001,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
   }
 
   def userSpecifiedSchemaUnsupportedError(operation: String): Throwable = {
-    new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1189",
-      messageParameters = Map("operation" -> operation))
+    DataTypeErrors.userSpecifiedSchemaUnsupportedError(operation)
   }
 
   def tempViewNotSupportStreamingWriteError(viewName: String): Throwable = {
@@ -2365,9 +2363,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
   }
 
   def charOrVarcharTypeAsStringUnsupportedError(): Throwable = {
-    new AnalysisException(
-      errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING",
-      messageParameters = Map.empty)
+    DataTypeErrors.charOrVarcharTypeAsStringUnsupportedError()
   }
 
   def escapeCharacterInTheMiddleError(pattern: String, char: String): Throwable = {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 433d23eaf3f15..7551e58c942b5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -2194,17 +2194,11 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
   }
 
   def fieldIndexOnRowWithoutSchemaError(): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2231",
-      messageParameters = Map.empty)
+    DataTypeErrors.fieldIndexOnRowWithoutSchemaError()
   }
 
   def valueIsNullError(index: Int): Throwable = {
-    new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2232",
-      messageParameters = Map(
-        "index" -> toSQLValue(index, IntegerType)),
-      cause = null)
+    DataTypeErrors.valueIsNullError(index)
   }
 
   def onlySupportDataSourcesProvidingFileFormatError(providingClass: String): Throwable = {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
index 4a7632486c046..55009f2416cc2 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
@@ -794,15 +794,11 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in functions") {
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         sql("""SELECT from_json('{"a": "str"}', 'a CHAR(5)')""")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING",
-      parameters = Map.empty,
-      context = ExpectedContext(
-        fragment = "from_json('{\"a\": \"str\"}', 'a CHAR(5)')",
-        start = 7,
-        stop = 44)
+      parameters = Map.empty
     )
     withSQLConf((SQLConf.LEGACY_CHAR_VARCHAR_AS_STRING.key, "true")) {
       val df = sql("""SELECT from_json('{"a": "str"}', 'a CHAR(5)')""")
@@ -816,19 +812,19 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
     val df = spark.range(10).map(_.toString).toDF()
     val schema = new StructType().add("id", CharType(5))
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.createDataFrame(df.collectAsList(), schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.createDataFrame(df.rdd, schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.createDataFrame(df.toJavaRDD, schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -842,12 +838,12 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in spark.read.schema") {
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.read.schema(new StructType().add("id", CharType(5)))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING")
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.read.schema("id char(5)")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -884,13 +880,13 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in udf's result type") {
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.udf.register("testchar", () => "B", VarcharType(1))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.udf.register("testchar2", (x: String) => x, VarcharType(1))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -909,13 +905,13 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in spark.readStream.schema") {
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.readStream.schema(new StructType().add("id", CharType(5)))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[AnalysisException] {
+      exception = intercept[SparkException] {
         spark.readStream.schema("id char(5)")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -938,7 +934,7 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
       sql("CREATE TABLE t(c char(10), v varchar(255)) USING parquet")
       sql("INSERT INTO t VALUES('spark', 'awesome')")
       val df = sql("SELECT * FROM t")
-      checkError(exception = intercept[AnalysisException] {
+      checkError(exception = intercept[SparkException] {
         df.to(newSchema)
       }, errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING", parameters = Map.empty)
       withSQLConf((SQLConf.LEGACY_CHAR_VARCHAR_AS_STRING.key, "true")) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 93b6652d516cc..94c344fc38423 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -1364,12 +1364,12 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val schema = StructType(Seq(StructField("name", StringType, false, defaultMetadata),
       StructField("theid", IntegerType, false, defaultMetadata)))
     val parts = Array[String]("THEID < 2", "THEID >= 2")
-    val e1 = intercept[AnalysisException] {
+    val e1 = intercept[SparkException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", parts, new Properties())
     }.getMessage
     assert(e1.contains("User specified schema not supported with `jdbc`"))
 
-    val e2 = intercept[AnalysisException] {
+    val e2 = intercept[SparkException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", new Properties())
     }.getMessage
     assert(e2.contains("User specified schema not supported with `jdbc`"))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
index 17348fe2dcbb5..967d384d97922 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
@@ -32,7 +32,7 @@ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
 import org.apache.parquet.schema.Type.Repetition
 import org.scalatest.BeforeAndAfter
 
-import org.apache.spark.{SparkContext, TestUtils}
+import org.apache.spark.{SparkContext, SparkException, TestUtils}
 import org.apache.spark.internal.io.FileCommitProtocol.TaskCommitMessage
 import org.apache.spark.internal.io.HadoopMapReduceCommitProtocol
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
@@ -633,12 +633,12 @@ class DataFrameReaderWriterSuite extends QueryTest with SharedSparkSession with
     testRead(Option(dir).map(spark.read.text).get, data, textSchema)
 
     // Reader, with user specified schema, should just apply user schema on the file data
-    val e = intercept[AnalysisException] { spark.read.schema(userSchema).textFile() }
+    val e = intercept[SparkException] { spark.read.schema(userSchema).textFile() }
     assert(e.getMessage.toLowerCase(Locale.ROOT).contains(
       "user specified schema not supported"))
-    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(dir) }
-    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(dir, dir) }
-    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(Seq(dir, dir): _*) }
+    intercept[SparkException] { spark.read.schema(userSchema).textFile(dir) }
+    intercept[SparkException] { spark.read.schema(userSchema).textFile(dir, dir) }
+    intercept[SparkException] { spark.read.schema(userSchema).textFile(Seq(dir, dir): _*) }
   }
 
   test("csv - API and behavior regarding schema") {
@@ -969,7 +969,7 @@ class DataFrameReaderWriterSuite extends QueryTest with SharedSparkSession with
   test("SPARK-16848: table API throws an exception for user specified schema") {
     withTable("t") {
       val schema = StructType(StructField("a", StringType) :: Nil)
-      val e = intercept[AnalysisException] {
+      val e = intercept[SparkException] {
         spark.read.schema(schema).table("t")
       }.getMessage
       assert(e.contains("User specified schema not supported with `table`"))

From b40f9d08e5742b18dd5ba6349450c4af337b6b86 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Mon, 24 Jul 2023 11:03:29 +0800
Subject: [PATCH 046/986] [SPARK-44513][BUILD] Upgrade snappy-java to 1.1.10.3

### What changes were proposed in this pull request?
The pr aims to upgrade snappy-java from  1.1.10.2 to 1.1.10.3.

### Why are the changes needed?
1.The newest version include a bug fixed:
- Fix the GLIBC_2.32 not found issue of libsnappyjava.so in certain Linux distributions on s390x by kun-lu20 in https://github.com/xerial/snappy-java/pull/481

2.Release notes:
https://github.com/xerial/snappy-java/releases/tag/v1.1.10.3

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

Closes #42113 from panbingkun/SPARK-44513.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit ecfb49c57e5d953763b6408a709d81ba8737c570)
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 0da13f5a1a6f2..beae22322021a 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -234,7 +234,7 @@ shims/0.9.45//shims-0.9.45.jar
 slf4j-api/2.0.7//slf4j-api-2.0.7.jar
 snakeyaml-engine/2.6//snakeyaml-engine-2.6.jar
 snakeyaml/2.0//snakeyaml-2.0.jar
-snappy-java/1.1.10.2//snappy-java-1.1.10.2.jar
+snappy-java/1.1.10.3//snappy-java-1.1.10.3.jar
 spire-macros_2.12/0.17.0//spire-macros_2.12-0.17.0.jar
 spire-platform_2.12/0.17.0//spire-platform_2.12-0.17.0.jar
 spire-util_2.12/0.17.0//spire-util_2.12-0.17.0.jar
diff --git a/pom.xml b/pom.xml
index 3c2107b1b0061..6ced5c7cab76d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -182,7 +182,7 @@
     <codehaus.jackson.version>1.9.13</codehaus.jackson.version>
     <fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
     <fasterxml.jackson.databind.version>2.15.2</fasterxml.jackson.databind.version>
-    <snappy.version>1.1.10.2</snappy.version>
+    <snappy.version>1.1.10.3</snappy.version>
     <netlib.ludovic.dev.version>3.0.3</netlib.ludovic.dev.version>
     <commons-codec.version>1.16.0</commons-codec.version>
     <commons-compress.version>1.23.0</commons-compress.version>

From 76a55673141a44f1aaddebbf75ebf9c310973016 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 24 Jul 2023 17:30:04 +0800
Subject: [PATCH 047/986] [SPARK-44521][CONNECT][TESTS] Use
 `Utils.createTempDir` to make the dirs generated by
 `SparkConnectServiceSuite` is cleaned up after testing

### What changes were proposed in this pull request?
This pr change to use `Utils.createTempDir` to make the dirs generated by `SparkConnectServiceSuite` is cleaned up after testing.

### Why are the changes needed?
There are residual directories after run  `SparkConnectServiceSuite` like follows:

```
connector/connect/server/282ce745-440f-44ac-9f43-4fad70d89a44/
connector/connect/server/my/
```

The test cases should ensure that they are cleaned up after testing.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual checked:

```
build/sbt "connect/testOnly org.apache.spark.sql.connect.planner.SparkConnectServiceSuite"
git status
```

Before

```
connector/connect/server/7e7f16c4-4792-4ddc-b7b0-08d3b1d1b8fe/
connector/connect/server/my/
```
After

No diff

Closes #42122 from LuciferYang/SPARK-44521.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 2441bdc49f18a535ed098b2cd08bab8ba18bf9ac)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/connect/planner/SparkConnectServiceSuite.scala  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index 498084efb8f3f..d820e65a6851c 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -252,7 +252,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
             .newBuilder()
             .setInput(
               proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))
-            .setPath("my/test/path")
+            .setPath(Utils.createTempDir().getAbsolutePath)
             .setMode(proto.WriteOperation.SaveMode.SAVE_MODE_OVERWRITE)),
       proto.Command
         .newBuilder()
@@ -300,7 +300,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
             .setAvailableNow(true)
             .setQueryName("test")
             .setFormat("memory")
-            .putOptions("checkpointLocation", s"${UUID.randomUUID}")
+            .putOptions("checkpointLocation", Utils.createTempDir().getAbsolutePath)
             .setPath("test-path")
             .build()),
       proto.Command

From 38b3aca8bab7e18365417f3e0a0e441baaa0ddc8 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Mon, 24 Jul 2023 19:39:03 +0800
Subject: [PATCH 048/986] [SPARK-44519][CONNECT] SparkConnectServerUtils
 generated incorrect parameters for jars

### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/41932 try to add test case for connect, then we found the maven build failure based on the bug discussed at https://github.com/apache/spark/pull/41932#discussion_r1266118099

After some communication, cloud-fan and zhengruifeng suggested to ignore the test case for connect.
So I commit this PR to fix the bug.

### Why are the changes needed?
Fix the bug that `SparkConnectServerUtils` generated incorrect parameters for jars.

### Does this PR introduce _any_ user-facing change?
'No'.
Just update the inner implementation.

### How was this patch tested?
N/A

Closes #42121 from beliefer/SPARK-44519.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 4644344f443f2f6ab26a72b44b9219fb6c82d26e)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../client/util/RemoteSparkSession.scala      | 48 +++++++++----------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
index 8d84dffc9d5bd..594d3c369fe69 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
@@ -93,19 +93,30 @@ object SparkConnectServerUtils {
    * configs, we add them here
    */
   private def testConfigs: Seq[String] = {
+    // To find InMemoryTableCatalog for V2 writer tests
+    val catalystTestJar =
+      tryFindJar("sql/catalyst", "spark-catalyst", "spark-catalyst", test = true)
+        .map(clientTestJar => Seq("--jars", clientTestJar.getCanonicalPath))
+        .getOrElse(Seq.empty)
+
+    // For UDF maven E2E tests, the server needs the client code to find the UDFs defined in tests.
+    val connectClientTestJar = tryFindJar(
+      "connector/connect/client/jvm",
+      // SBT passes the client & test jars to the server process automatically.
+      // So we skip building or finding this jar for SBT.
+      "sbt-tests-do-not-need-this-jar",
+      "spark-connect-client-jvm",
+      test = true)
+      .map(clientTestJar => Seq(clientTestJar.getCanonicalPath))
+      .getOrElse(Seq.empty)
+
+    val allJars = catalystTestJar ++ connectClientTestJar
+    val jarsConfigs = Seq("--jars", allJars.mkString(","))
+
     // Use InMemoryTableCatalog for V2 writer tests
-    val writerV2Configs = {
-      val catalystTestJar = findJar( // To find InMemoryTableCatalog for V2 writer tests
-        "sql/catalyst",
-        "spark-catalyst",
-        "spark-catalyst",
-        test = true).getCanonicalPath
-      Seq(
-        "--jars",
-        catalystTestJar,
-        "--conf",
-        "spark.sql.catalog.testcat=org.apache.spark.sql.connector.catalog.InMemoryTableCatalog")
-    }
+    val writerV2Configs = Seq(
+      "--conf",
+      "spark.sql.catalog.testcat=org.apache.spark.sql.connector.catalog.InMemoryTableCatalog")
 
     // Run tests using hive
     val hiveTestConfigs = {
@@ -128,18 +139,7 @@ object SparkConnectServerUtils {
       Seq("--conf", s"spark.sql.catalogImplementation=$catalogImplementation")
     }
 
-    // For UDF maven E2E tests, the server needs the client code to find the UDFs defined in tests.
-    val udfTestConfigs = tryFindJar(
-      "connector/connect/client/jvm",
-      // SBT passes the client & test jars to the server process automatically.
-      // So we skip building or finding this jar for SBT.
-      "sbt-tests-do-not-need-this-jar",
-      "spark-connect-client-jvm",
-      test = true)
-      .map(clientTestJar => Seq("--jars", clientTestJar.getCanonicalPath))
-      .getOrElse(Seq.empty)
-
-    writerV2Configs ++ hiveTestConfigs ++ udfTestConfigs
+    jarsConfigs ++ writerV2Configs ++ hiveTestConfigs
   }
 
   def start(): Unit = {

From d0ad48334dccb451a0312c45ffe142b533ae75f9 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Mon, 24 Jul 2023 10:11:18 -0700
Subject: [PATCH 049/986] Revert "[SPARK-44380][PYTHON][FOLLOWUP] Set __doc__
 for analyze static method when Arrow is enabled"

This reverts commit 07d3e8e52878ea9631d4757b67119a18fbdf0230.
---
 python/pyspark/sql/tests/test_udtf.py | 8 +-------
 python/pyspark/sql/udtf.py            | 3 ---
 2 files changed, 1 insertion(+), 10 deletions(-)

diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 0fdb1c9b8a125..2c76d2f7e152e 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -728,11 +728,6 @@ def __init__(self):
                 """Initialize the UDTF"""
                 ...
 
-            @staticmethod
-            def analyze(x: AnalyzeArgument) -> AnalyzeResult:
-                """Analyze the argument."""
-                ...
-
             def eval(self, x: int):
                 """Evaluate the input row."""
                 yield x + 1,
@@ -741,10 +736,9 @@ def terminate(self):
                 """Terminate the UDTF."""
                 ...
 
-        cls = udtf(TestUDTF).func
+        cls = udtf(TestUDTF, returnType="y: int").func
         self.assertIn("A UDTF for test", cls.__doc__)
         self.assertIn("Initialize the UDTF", cls.__init__.__doc__)
-        self.assertIn("Analyze the argument", cls.analyze.__doc__)
         self.assertIn("Evaluate the input row", cls.eval.__doc__)
         self.assertIn("Terminate the UDTF", cls.terminate.__doc__)
 
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index e930daa9f517e..3ab7419309396 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -134,9 +134,6 @@ def terminate(self) -> Iterator[pd.DataFrame]:
     if hasattr(cls, "terminate"):
         getattr(vectorized_udtf, "terminate").__doc__ = getattr(cls, "terminate").__doc__
 
-    if hasattr(vectorized_udtf, "analyze"):
-        getattr(vectorized_udtf, "analyze").__doc__ = getattr(cls, "analyze").__doc__
-
     return vectorized_udtf
 
 

From 9088249f02543c549e0b330812c77edcdbbeb795 Mon Sep 17 00:00:00 2001
From: Runyao Chen <runyao.chen@databricks.com>
Date: Mon, 24 Jul 2023 15:20:09 -0700
Subject: [PATCH 050/986] [SPARK-44455][SQL] Quote identifiers with backticks
 in SHOW CREATE TABLE result

### What changes were proposed in this pull request?

This PR adds backticks to any identifiers with special characters for `SHOW CREATE TABLE`.

### Why are the changes needed?

Without proper backticks to quote the identifiers, if users copy paste the results from running `SHOW CREATE TABLE`,  they will hit analysis exception.

### Does this PR introduce _any_ user-facing change?

Yes. The identifiers from the result of `SHOW CREATE TABLE` will be quoted if necessary (having special characters).

### How was this patch tested?

Added UT.

Closes #42034 from RunyaoChen/quote_ident_show_table.

Lead-authored-by: Runyao Chen <runyao.chen@databricks.com>
Co-authored-by: RunyaoChen <runyao.chen@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 6992f8b7db8dc19cb259caddb59a9582f0e60c6d)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../datasources/v2/DataSourceV2Strategy.scala |  2 +-
 .../datasources/v2/ShowCreateTableExec.scala  | 11 ++++++----
 .../sql-tests/results/charvarchar.sql.out     |  6 +++---
 .../results/show-create-table.sql.out         | 20 +++++++++----------
 .../command/v1/ShowCreateTableSuite.scala     |  6 +++++-
 .../command/v2/ShowCreateTableSuite.scala     | 16 +++++++++++++++
 .../command/ShowCreateTableSuite.scala        | 15 +++++++-------
 7 files changed, 50 insertions(+), 26 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
index abd70f322c839..0106a9c5aea0e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
@@ -456,7 +456,7 @@ class DataSourceV2Strategy(session: SparkSession) extends Strategy with Predicat
       if (asSerde) {
         throw QueryCompilationErrors.showCreateTableAsSerdeNotSupportedForV2TablesError()
       }
-      ShowCreateTableExec(output, rt.table) :: Nil
+      ShowCreateTableExec(output, rt) :: Nil
 
     case TruncateTable(r: ResolvedTable) =>
       TruncateTableExec(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
index 5712159ddc800..6fa51ed63bd46 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
@@ -21,6 +21,7 @@ import scala.collection.JavaConverters._
 import scala.collection.mutable.ArrayBuffer
 
 import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.analysis.ResolvedTable
 import org.apache.spark.sql.catalyst.catalog.BucketSpec
 import org.apache.spark.sql.catalyst.expressions.Attribute
 import org.apache.spark.sql.catalyst.util.{escapeSingleQuotedString, CharVarcharUtils}
@@ -34,15 +35,17 @@ import org.apache.spark.unsafe.types.UTF8String
  */
 case class ShowCreateTableExec(
     output: Seq[Attribute],
-    table: Table) extends V2CommandExec with LeafExecNode {
+    resolvedTable: ResolvedTable) extends V2CommandExec with LeafExecNode {
   override protected def run(): Seq[InternalRow] = {
     val builder = new StringBuilder
-    showCreateTable(table, builder)
+    showCreateTable(resolvedTable, builder)
     Seq(InternalRow(UTF8String.fromString(builder.toString)))
   }
 
-  private def showCreateTable(table: Table, builder: StringBuilder): Unit = {
-    builder ++= s"CREATE TABLE ${table.name()} "
+  private def showCreateTable(resolvedTable: ResolvedTable, builder: StringBuilder): Unit = {
+    val table = resolvedTable.table
+    val quotedName = resolvedTable.name
+    builder ++= s"CREATE TABLE ${quotedName} "
 
     showTableDataColumns(table, builder)
     showTableUsing(table, builder)
diff --git a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
index 54cdc1e3528f8..888e8a9428910 100644
--- a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
@@ -49,7 +49,7 @@ show create table char_tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.char_tbl (
+CREATE TABLE spark_catalog.default.char_tbl (
   c CHAR(5),
   v VARCHAR(6))
 USING parquet
@@ -68,7 +68,7 @@ show create table char_tbl2
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.char_tbl2 (
+CREATE TABLE spark_catalog.default.char_tbl2 (
   c CHAR(5),
   v VARCHAR(6))
 USING parquet
@@ -161,7 +161,7 @@ show create table char_tbl3
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.char_tbl3 (
+CREATE TABLE spark_catalog.default.char_tbl3 (
   c CHAR(5),
   v VARCHAR(6))
 USING parquet
diff --git a/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out b/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
index 0d73960a6b3ec..dcb96b9d2dce6 100644
--- a/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
@@ -12,7 +12,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -41,7 +41,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -73,7 +73,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -103,7 +103,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -133,7 +133,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   b STRING,
   c INT,
   a INT)
@@ -163,7 +163,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -195,7 +195,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT DEFAULT 42,
   b STRING DEFAULT 'abc, def',
   c INT DEFAULT 42)
@@ -225,7 +225,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -255,7 +255,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a INT,
   b STRING,
   c INT)
@@ -286,7 +286,7 @@ SHOW CREATE TABLE tbl
 -- !query schema
 struct<createtab_stmt:string>
 -- !query output
-CREATE TABLE default.tbl (
+CREATE TABLE spark_catalog.default.tbl (
   a FLOAT,
   b DECIMAL(10,0),
   c DECIMAL(10,0),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
index 62e8f53d7650b..b9fcf76ad7cdc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution.command.v1
 
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.execution.command
+import org.apache.spark.sql.execution.command.DDLCommandTestUtils.V1_COMMAND_VERSION
 
 /**
  * This base suite contains unified tests for the `SHOW CREATE TABLE` command that checks V1
@@ -31,7 +32,10 @@ import org.apache.spark.sql.execution.command
  */
 trait ShowCreateTableSuiteBase extends command.ShowCreateTableSuiteBase
     with command.TestsV1AndV2Commands {
-  override def fullName: String = s"$ns.$table"
+  override def fullName: String = commandVersion match {
+    case V1_COMMAND_VERSION => s"$ns.$table"
+    case _ => s"$catalog.$ns.$table"
+  }
 
   test("show create table[simple]") {
     // todo After SPARK-37517 unify the testcase both v1 and v2
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
index 906194854b4cd..adda9dcfffe46 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
@@ -144,4 +144,20 @@ class ShowCreateTableSuite extends command.ShowCreateTableSuiteBase with Command
       ))
     }
   }
+
+  test("should quote identifiers with special characters") {
+    withNamespaceAndTable("`a_schema-with+special^chars`", "`a_table-with+special^chars`") { t =>
+      sql(s"""
+           |CREATE TABLE $t (
+           |  a bigint NOT NULL,
+           |  b bigint
+           |) $defaultUsing
+        """.stripMargin)
+      val showDDL = getShowCreateDDL(t)
+      assert(
+        showDDL(0) == s"CREATE TABLE test_catalog.`a_schema-with+special^chars`." +
+        s"`a_table-with+special^chars` ("
+      )
+    }
+  }
 }
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
index a2e1ee24f0393..55a27f336db40 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
@@ -30,6 +30,7 @@ import org.apache.spark.sql.internal.HiveSerDe
  */
 class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuiteBase {
   override def commandVersion: String = super[ShowCreateTableSuiteBase].commandVersion
+  def nsTable: String = s"$ns.$table"
 
   override def getShowCreateDDL(table: String, serde: Boolean = false): Array[String] = {
     super.getShowCreateDDL(table, serde).filter(!_.startsWith("'transient_lastDdlTime'"))
@@ -48,7 +49,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |)
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'" +
         " WITH SERDEPROPERTIES ( 'serialization.format' = '1')" +
         " STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat'" +
@@ -73,7 +74,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
              |)
            """.stripMargin
         )
-        val expected = s"CREATE EXTERNAL TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+        val expected = s"CREATE EXTERNAL TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
           s" ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'" +
           s" WITH SERDEPROPERTIES ( 'serialization.format' = '1')" +
           s" STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat'" +
@@ -100,7 +101,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |)
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
         " COMMENT 'bla' PARTITIONED BY (p1 BIGINT COMMENT 'bla', p2 STRING)" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'" +
         " WITH SERDEPROPERTIES ( 'serialization.format' = '1')" +
@@ -124,7 +125,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |NULL DEFINED AS 'NaN'
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'" +
         " WITH SERDEPROPERTIES (" +
         " 'colelction.delim' = '@'," +
@@ -148,7 +149,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |STORED AS PARQUET
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'" +
         " WITH SERDEPROPERTIES ( 'serialization.format' = '1')" +
         " STORED AS INPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'" +
@@ -175,7 +176,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( c1 INT COMMENT 'bla', c2 STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( c1 INT COMMENT 'bla', c2 STRING)" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'" +
         " WITH SERDEPROPERTIES (" +
         " 'field.delim' = ','," +
@@ -197,7 +198,7 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
            |INTO 2 BUCKETS
          """.stripMargin
       )
-      val expected = s"CREATE TABLE $fullName ( a INT, b STRING)" +
+      val expected = s"CREATE TABLE $nsTable ( a INT, b STRING)" +
         " CLUSTERED BY (a) SORTED BY (b ASC) INTO 2 BUCKETS" +
         " ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'" +
         " WITH SERDEPROPERTIES ( 'serialization.format' = '1')" +

From a93b4a1f9d7023695e83d8369fe2a229185c4127 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Mon, 24 Jul 2023 15:28:33 -0700
Subject: [PATCH 051/986] [SPARK-42944][SS][PYTHON][CONNECT][FOLLOWUP]
 Streaming ForeachBatch in Python followups

### What changes were proposed in this pull request?

Followup of https://github.com/apache/spark/pull/42035, address comments

### Why are the changes needed?

Code quality, doc change

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit tests

Closes #42096 from WweiL/spark-42944-followup.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit cfc279c6c0fdaf278f0e9f1444e6cf99e3848be7)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/streaming/StreamingQuerySuite.scala   |  2 +-
 .../planner/StreamingForeachBatchHelper.scala | 13 +++++----
 .../api/python/StreamingPythonRunner.scala    |  8 +++---
 dev/sparktestsupport/modules.py               |  1 +
 python/pyspark/sql/connect/session.py         |  2 +-
 python/pyspark/sql/streaming/readwriter.py    |  9 ++++++
 ...chBatch.py => test_parity_foreachBatch.py} |  2 +-
 python/pyspark/streaming_worker.py            | 28 +++++++++----------
 8 files changed, 38 insertions(+), 27 deletions(-)
 rename python/pyspark/sql/tests/connect/streaming/{test_parity_streaming_foreachBatch.py => test_parity_foreachBatch.py} (94%)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
index 91d744b9e4863..62770ae383eab 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
@@ -346,7 +346,7 @@ class StreamingQuerySuite extends QueryTest with SQLHelper with Logging {
           .collect()
           .toSeq
         assert(rows.size > 0)
-        log.info(s"Rows in $tableName: $rows")
+        logInfo(s"Rows in $tableName: $rows")
       }
 
       q.stop()
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 3148139377767..9770ac4cee5f5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -44,16 +44,16 @@ object StreamingForeachBatchHelper extends Logging {
       sessionHolder: SessionHolder): ForeachBatchFnType = { (df: DataFrame, batchId: Long) =>
     {
       val dfId = UUID.randomUUID().toString
-      log.info(s"Caching DataFrame with id $dfId") // TODO: Add query id to the log.
+      logInfo(s"Caching DataFrame with id $dfId") // TODO: Add query id to the log.
 
-      // TODO: Sanity check there is no other active DataFrame for this query. The query id
-      //       needs to be saved in the cache for this check.
+      // TODO(SPARK-44462): Sanity check there is no other active DataFrame for this query.
+      //  The query id needs to be saved in the cache for this check.
 
       sessionHolder.cacheDataFrameById(dfId, df)
       try {
         fn(FnArgsWithId(dfId, df, batchId))
       } finally {
-        log.info(s"Removing DataFrame with id $dfId from the cache")
+        logInfo(s"Removing DataFrame with id $dfId from the cache")
         sessionHolder.removeCachedDataFrame(dfId)
       }
     }
@@ -69,7 +69,8 @@ object StreamingForeachBatchHelper extends Logging {
   def scalaForeachBatchWrapper(
       fn: ForeachBatchFnType,
       sessionHolder: SessionHolder): ForeachBatchFnType = {
-    // TODO: Set up Spark Connect session. Do we actually need this for the first version?
+    // TODO(SPARK-44462): Set up Spark Connect session.
+    // Do we actually need this for the first version?
     dataFrameCachingWrapper(
       (args: FnArgsWithId) => {
         fn(args.df, args.batchId) // dfId is not used, see hack comment above.
@@ -104,7 +105,7 @@ object StreamingForeachBatchHelper extends Logging {
       dataOut.flush()
 
       val ret = dataIn.readInt()
-      log.info(s"Python foreach batch for dfId ${args.dfId} completed (ret: $ret)")
+      logInfo(s"Python foreach batch for dfId ${args.dfId} completed (ret: $ret)")
     }
 
     dataFrameCachingWrapper(foreachBatchRunnerFn, sessionHolder)
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index 77dc88e0cfa5d..faf462a1990d0 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -49,7 +49,7 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
    * to be used with the functions.
    */
   def init(sessionId: String): (DataOutputStream, DataInputStream) = {
-    log.info(s"Initializing Python runner (session: $sessionId ,pythonExec: $pythonExec")
+    logInfo(s"Initializing Python runner (session: $sessionId ,pythonExec: $pythonExec")
 
     val env = SparkEnv.get
 
@@ -67,12 +67,12 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
     val stream = new BufferedOutputStream(worker.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
 
-    // TODO: verify python version
+    // TODO(SPARK-44461): verify python version
 
     // Send sessionId
     PythonRDD.writeUTF(sessionId, dataOut)
 
-    // send the user function to python process
+    // Send the user function to python process
     val command = func.command
     dataOut.writeInt(command.length)
     dataOut.write(command.toArray)
@@ -81,7 +81,7 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
     val dataIn = new DataInputStream(new BufferedInputStream(worker.getInputStream, bufferSize))
 
     val resFromPython = dataIn.readInt()
-    log.info(s"Runner initialization returned $resFromPython")
+    logInfo(s"Runner initialization returned $resFromPython")
 
     (dataOut, dataIn)
   }
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 6382e9a536931..9d0ba219e79fc 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -863,6 +863,7 @@ def __hash__(self):
         "pyspark.sql.tests.connect.client.test_client",
         "pyspark.sql.tests.connect.streaming.test_parity_streaming",
         "pyspark.sql.tests.connect.streaming.test_parity_foreach",
+        "pyspark.sql.tests.connect.streaming.test_parity_foreachBatch",
         "pyspark.sql.tests.connect.test_parity_pandas_grouped_map_with_state",
         "pyspark.sql.tests.connect.test_parity_pandas_udf_scalar",
         "pyspark.sql.tests.connect.test_parity_pandas_udf_grouped_agg",
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 37a5bdd9f9fd7..a49e4cdd0f4cd 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -671,7 +671,7 @@ def copyFromLocalToFs(self, local_path: str, dest_path: str) -> None:
 
     copyFromLocalToFs.__doc__ = PySparkSession.copyFromLocalToFs.__doc__
 
-    def _createRemoteDataFrame(self, remote_id: str) -> "DataFrame":
+    def _create_remote_dataframe(self, remote_id: str) -> "DataFrame":
         """
         In internal API to reference a runtime DataFrame on the server side.
         This is used in ForeachBatch() runner, where the remote DataFrame refers to the
diff --git a/python/pyspark/sql/streaming/readwriter.py b/python/pyspark/sql/streaming/readwriter.py
index 08d7396ba864a..2026651ce12f6 100644
--- a/python/pyspark/sql/streaming/readwriter.py
+++ b/python/pyspark/sql/streaming/readwriter.py
@@ -1404,20 +1404,29 @@ def foreachBatch(self, func: Callable[["DataFrame", int], None]) -> "DataStreamW
 
         .. versionadded:: 2.4.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
+        This function behaves differently in Spark Connect mode. See examples.
+        In Connect, the provided function doesn't have access to variables defined outside of it.
 
         Examples
         --------
         >>> import time
         >>> df = spark.readStream.format("rate").load()
+        >>> my_value = -1
         >>> def func(batch_df, batch_id):
+        ...     global my_value
+        ...     my_value = 100
         ...     batch_df.collect()
         ...
         >>> q = df.writeStream.foreachBatch(func).start()
         >>> time.sleep(3)
         >>> q.stop()
+        >>> # if in Spark Connect, my_value = -1, else my_value = 100
         """
 
         from pyspark.java_gateway import ensure_callback_server_started
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py b/python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py
similarity index 94%
rename from python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py
rename to python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py
index c4aa936a43efe..01108c95391bf 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming_foreachBatch.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py
@@ -33,7 +33,7 @@ def test_streaming_foreachBatch_graceful_stop(self):
 
 if __name__ == "__main__":
     import unittest
-    from pyspark.sql.tests.connect.streaming.test_parity_streaming_foreachBatch import *  # noqa: F401,E501
+    from pyspark.sql.tests.connect.streaming.test_parity_foreachBatch import *  # noqa: F401,E501
 
     try:
         import xmlrunner  # type: ignore[import]
diff --git a/python/pyspark/streaming_worker.py b/python/pyspark/streaming_worker.py
index 490bae44d99f3..a818880a9849e 100644
--- a/python/pyspark/streaming_worker.py
+++ b/python/pyspark/streaming_worker.py
@@ -30,38 +30,38 @@
 from pyspark import worker
 from pyspark.sql import SparkSession
 
-pickleSer = CPickleSerializer()
+pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile, outfile):  # type: ignore[no-untyped-def]
     log_name = "Streaming ForeachBatch worker"
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
-    sessionId = utf8_deserializer.loads(infile)
+    session_id = utf8_deserializer.loads(infile)
 
-    print(f"{log_name} is starting with url {connect_url} and sessionId {sessionId}.")
+    print(f"{log_name} is starting with url {connect_url} and sessionId {session_id}.")
 
-    sparkConnectSession = SparkSession.builder.remote(connect_url).getOrCreate()
-    sparkConnectSession._client._session_id = sessionId
+    spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
+    spark_connect_session._client._session_id = session_id
 
     # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
 
-    func = worker.read_command(pickleSer, infile)
+    func = worker.read_command(pickle_ser, infile)
     write_int(0, outfile)  # Indicate successful initialization
 
     outfile.flush()
 
-    def process(dfId, batchId):  # type: ignore[no-untyped-def]
-        print(f"{log_name} Started batch {batchId} with DF id {dfId}")
-        batchDf = sparkConnectSession._createRemoteDataFrame(dfId)
-        func(batchDf, batchId)
-        print(f"{log_name} Completed batch {batchId} with DF id {dfId}")
+    def process(df_id, batch_id):  # type: ignore[no-untyped-def]
+        print(f"{log_name} Started batch {batch_id} with DF id {df_id}")
+        batch_df = spark_connect_session._create_remote_dataframe(df_id)
+        func(batch_df, batch_id)
+        print(f"{log_name} Completed batch {batch_id} with DF id {df_id}")
 
     while True:
-        dfRefId = utf8_deserializer.loads(infile)
-        batchId = read_long(infile)
-        process(dfRefId, int(batchId))  # TODO(SPARK-44463): Propagate error to the user.
+        df_ref_id = utf8_deserializer.loads(infile)
+        batch_id = read_long(infile)
+        process(df_ref_id, int(batch_id))  # TODO(SPARK-44463): Propagate error to the user.
         write_int(0, outfile)
         outfile.flush()
 

From dc5fffc4b5833dbc0414d66994348ed56d155bbd Mon Sep 17 00:00:00 2001
From: Xinrong Meng <xinrong@apache.org>
Date: Tue, 25 Jul 2023 09:43:52 +0900
Subject: [PATCH 052/986] [SPARK-44486][PYTHON][CONNECT] Implement PyArrow
 `self_destruct` feature for `toPandas`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Implement Arrow `self_destruct` of `toPandas` for memory savings.

Now the Spark configuration `spark.sql.execution.arrow.pyspark.selfDestruct.enabled` can be used to enable PyArrow’s `self_destruct` feature in Spark Connect, which can save memory when creating a Pandas DataFrame via `toPandas` by freeing Arrow-allocated memory while building the Pandas DataFrame.

### Why are the changes needed?
Reach parity with vanilla PySpark. The PR is a mirror of https://github.com/apache/spark/pull/29818 for Spark Connect.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Unit test.

Closes #42079 from xinrong-meng/self_destruct.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 78b3345fa17cf54ecaaab7da27125a08233c9e94)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py     | 47 +++++++++++++++++--
 .../sql/tests/connect/test_parity_arrow.py    | 15 ++++--
 2 files changed, 55 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 00f2a85d602cd..5623689212220 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -757,14 +757,33 @@ def to_pandas(self, plan: pb2.Plan) -> "pd.DataFrame":
         logger.info(f"Executing plan {self._proto_to_string(plan)}")
         req = self._execute_plan_request_with_metadata()
         req.plan.CopyFrom(plan)
-        table, schema, metrics, observed_metrics, _ = self._execute_and_fetch(req)
+        (self_destruct_conf,) = self.get_config_with_defaults(
+            ("spark.sql.execution.arrow.pyspark.selfDestruct.enabled", "false"),
+        )
+        self_destruct = cast(str, self_destruct_conf).lower() == "true"
+        table, schema, metrics, observed_metrics, _ = self._execute_and_fetch(
+            req, self_destruct=self_destruct
+        )
         assert table is not None
 
         schema = schema or from_arrow_schema(table.schema, prefer_timestamp_ntz=True)
         assert schema is not None and isinstance(schema, StructType)
 
         # Rename columns to avoid duplicated column names.
-        pdf = table.rename_columns([f"col_{i}" for i in range(table.num_columns)]).to_pandas()
+        renamed_table = table.rename_columns([f"col_{i}" for i in range(table.num_columns)])
+        if self_destruct:
+            # Configure PyArrow to use as little memory as possible:
+            # self_destruct - free columns as they are converted
+            # split_blocks - create a separate Pandas block for each column
+            # use_threads - convert one column at a time
+            pandas_options = {
+                "self_destruct": True,
+                "split_blocks": True,
+                "use_threads": False,
+            }
+            pdf = renamed_table.to_pandas(**pandas_options)
+        else:
+            pdf = renamed_table.to_pandas()
         pdf.columns = schema.names
 
         if len(pdf.columns) > 0:
@@ -1108,7 +1127,7 @@ def _execute_and_fetch_as_iterator(
             self._handle_error(error)
 
     def _execute_and_fetch(
-        self, req: pb2.ExecutePlanRequest
+        self, req: pb2.ExecutePlanRequest, self_destruct: bool = False
     ) -> Tuple[
         Optional["pa.Table"],
         Optional[StructType],
@@ -1144,7 +1163,27 @@ def _execute_and_fetch(
                 )
 
         if len(batches) > 0:
-            table = pa.Table.from_batches(batches=batches)
+            if self_destruct:
+                results = []
+                for batch in batches:
+                    # self_destruct frees memory column-wise, but Arrow record batches are
+                    # oriented row-wise, so copies each column into its own allocation
+                    batch = pa.RecordBatch.from_arrays(
+                        [
+                            # This call actually reallocates the array
+                            pa.concat_arrays([array])
+                            for array in batch
+                        ],
+                        schema=batch.schema,
+                    )
+                    results.append(batch)
+                table = pa.Table.from_batches(batches=results)
+                # Ensure only the table has a reference to the batches, so that
+                # self_destruct (if enabled) is effective
+                del results
+                del batches
+            else:
+                table = pa.Table.from_batches(batches=batches)
             return table, schema, metrics, observed_metrics, properties
         else:
             return None, schema, metrics, observed_metrics, properties
diff --git a/python/pyspark/sql/tests/connect/test_parity_arrow.py b/python/pyspark/sql/tests/connect/test_parity_arrow.py
index e491305e8672c..5f76cafb1927f 100644
--- a/python/pyspark/sql/tests/connect/test_parity_arrow.py
+++ b/python/pyspark/sql/tests/connect/test_parity_arrow.py
@@ -19,11 +19,13 @@
 from distutils.version import LooseVersion
 
 import pandas as pd
+
 from pyspark.sql.tests.test_arrow import ArrowTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
+from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
-class ArrowParityTests(ArrowTestsMixin, ReusedConnectTestCase):
+class ArrowParityTests(ArrowTestsMixin, ReusedConnectTestCase, PandasOnSparkTestUtils):
     @unittest.skip("Spark Connect does not support Spark Context but the test depends on that.")
     def test_createDataFrame_empty_partition(self):
         super().test_createDataFrame_empty_partition()
@@ -56,9 +58,16 @@ def test_no_partition_frame(self):
     def test_no_partition_toPandas(self):
         super().test_no_partition_toPandas()
 
-    @unittest.skip("The test uses internal APIs.")
     def test_pandas_self_destruct(self):
-        super().test_pandas_self_destruct()
+        df = self.spark.range(100).select("id", "id", "id")
+
+        with self.sql_conf({"spark.sql.execution.arrow.pyspark.selfDestruct.enabled": True}):
+            self_destruct_pdf = df.toPandas()
+
+        with self.sql_conf({"spark.sql.execution.arrow.pyspark.selfDestruct.enabled": False}):
+            no_self_destruct_pdf = df.toPandas()
+
+        self.assert_eq(self_destruct_pdf, no_self_destruct_pdf)
 
     def test_propagates_spark_exception(self):
         self.check_propagates_spark_exception()

From 7783789b066d6d54845083a3d036f9b3f0a44486 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 24 Jul 2023 20:46:01 -0400
Subject: [PATCH 053/986] [SPARK-44449][CONNECT] Upcasting for direct Arrow
 Deserialization

### What changes were proposed in this pull request?
This PR adds upcasting to direct Arrow deserialization for the Spark Connect Scala Client. This is implemented by decoupling leaf encoders from vector implementations, instead all leaf encoders are now tied to an `ArrowVectorReader` instance that will allow us to read the data we need from an arbitrary vector type, provided we can read this data without data loss (this is both checked at runtime and compile time).

### Why are the changes needed?
Direct Arrow deserialization did not support upcasting yet. Not supporting this would be a regression for connect compared to SPARK 3.4.

### Does this PR introduce _any_ user-facing change?
Yes, it brings arrow encoders up to par with the existing catalyst encoding framework.

### How was this patch tested?
Added tests to `ArrowEncoderSuite`.
Re-enabled tests that relied on upcasting.

Closes #42076 from hvanhovell/SPARK-44449.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit a6ac63d14b56d939dda1aa2a8e74308efc8e1b93)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/SparkSession.scala   |   5 +-
 .../sql/connect/client/SparkResult.scala      |   6 +-
 .../client/arrow/ArrowDeserializer.scala      | 221 ++++++++-------
 .../client/arrow/ArrowVectorReader.scala      | 259 ++++++++++++++++++
 .../apache/spark/sql/ClientE2ETestSuite.scala |  10 +-
 .../KeyValueGroupedDatasetE2ETestSuite.scala  |   5 +-
 .../client/arrow/ArrowEncoderSuite.scala      | 217 ++++++++++++++-
 7 files changed, 595 insertions(+), 128 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index b37e3884038b2..161b5a0217e70 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -126,7 +126,6 @@ class SparkSession private[sql] (
   private def createDataset[T](encoder: AgnosticEncoder[T], data: Iterator[T]): Dataset[T] = {
     newDataset(encoder) { builder =>
       if (data.nonEmpty) {
-        val timeZoneId = conf.get("spark.sql.session.timeZone")
         val arrowData = ArrowSerializer.serialize(data, encoder, allocator, timeZoneId)
         if (arrowData.size() <= conf.get("spark.sql.session.localRelationCacheThreshold").toInt) {
           builder.getLocalRelationBuilder
@@ -529,9 +528,11 @@ class SparkSession private[sql] (
     client.semanticHash(plan).getSemanticHash.getResult
   }
 
+  private[sql] def timeZoneId: String = conf.get("spark.sql.session.timeZone")
+
   private[sql] def execute[T](plan: proto.Plan, encoder: AgnosticEncoder[T]): SparkResult[T] = {
     val value = client.execute(plan)
-    val result = new SparkResult(value, allocator, encoder)
+    val result = new SparkResult(value, allocator, encoder, timeZoneId)
     cleaner.register(result)
     result
   }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index eed8bd3f37d90..e3055b2678f70 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -36,7 +36,8 @@ import org.apache.spark.sql.util.ArrowUtils
 private[sql] class SparkResult[T](
     responses: java.util.Iterator[proto.ExecutePlanResponse],
     allocator: BufferAllocator,
-    encoder: AgnosticEncoder[T])
+    encoder: AgnosticEncoder[T],
+    timeZoneId: String)
     extends AutoCloseable
     with Cleanable { self =>
 
@@ -213,7 +214,8 @@ private[sql] class SparkResult[T](
             new ConcatenatingArrowStreamReader(
               allocator,
               Iterator.single(new ResultMessageIterator(destructive)),
-              destructive))
+              destructive),
+            timeZoneId)
         }
       }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 154866d699a34..01aba9cb0cee2 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -28,7 +28,7 @@ import scala.collection.mutable
 import scala.reflect.ClassTag
 
 import org.apache.arrow.memory.BufferAllocator
-import org.apache.arrow.vector.{BigIntVector, BitVector, DateDayVector, DecimalVector, DurationVector, FieldVector, Float4Vector, Float8Vector, IntervalYearVector, IntVector, NullVector, SmallIntVector, TimeStampMicroTZVector, TimeStampMicroVector, TinyIntVector, VarBinaryVector, VarCharVector, VectorSchemaRoot}
+import org.apache.arrow.vector.{FieldVector, VarCharVector, VectorSchemaRoot}
 import org.apache.arrow.vector.complex.{ListVector, MapVector, StructVector}
 import org.apache.arrow.vector.ipc.ArrowReader
 import org.apache.arrow.vector.util.Text
@@ -37,7 +37,6 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
-import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.types.Decimal
 
@@ -54,13 +53,14 @@ object ArrowDeserializers {
   def deserializeFromArrow[T](
       input: Iterator[Array[Byte]],
       encoder: AgnosticEncoder[T],
-      allocator: BufferAllocator): CloseableIterator[T] = {
+      allocator: BufferAllocator,
+      timeZoneId: String): CloseableIterator[T] = {
     try {
       val reader = new ConcatenatingArrowStreamReader(
         allocator,
         input.map(bytes => new MessageIterator(new ByteArrayInputStream(bytes), allocator)),
         destructive = true)
-      new ArrowDeserializingIterator(encoder, reader)
+      new ArrowDeserializingIterator(encoder, reader, timeZoneId)
     } catch {
       case _: IOException =>
         new EmptyDeserializingIterator(encoder)
@@ -72,7 +72,8 @@ object ArrowDeserializers {
    */
   private[arrow] def deserializerFor[T](
       encoder: AgnosticEncoder[T],
-      root: VectorSchemaRoot): Deserializer[T] = {
+      root: VectorSchemaRoot,
+      timeZoneId: String): Deserializer[T] = {
     val data: AnyRef = if (encoder.isStruct) {
       root
     } else {
@@ -80,138 +81,141 @@ object ArrowDeserializers {
       // by convention we bind to the first one.
       root.getVector(0)
     }
-    deserializerFor(encoder, data).asInstanceOf[Deserializer[T]]
+    deserializerFor(encoder, data, timeZoneId).asInstanceOf[Deserializer[T]]
   }
 
   private[arrow] def deserializerFor(
       encoder: AgnosticEncoder[_],
-      data: AnyRef): Deserializer[Any] = {
+      data: AnyRef,
+      timeZoneId: String): Deserializer[Any] = {
     (encoder, data) match {
-      case (PrimitiveBooleanEncoder | BoxedBooleanEncoder, v: BitVector) =>
-        new FieldDeserializer[Boolean, BitVector](v) {
-          def value(i: Int): Boolean = vector.get(i) != 0
+      case (PrimitiveBooleanEncoder | BoxedBooleanEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Boolean](encoder, v, timeZoneId) {
+          override def value(i: Int): Boolean = reader.getBoolean(i)
         }
-      case (PrimitiveByteEncoder | BoxedByteEncoder, v: TinyIntVector) =>
-        new FieldDeserializer[Byte, TinyIntVector](v) {
-          def value(i: Int): Byte = vector.get(i)
+      case (PrimitiveByteEncoder | BoxedByteEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Byte](encoder, v, timeZoneId) {
+          override def value(i: Int): Byte = reader.getByte(i)
         }
-      case (PrimitiveShortEncoder | BoxedShortEncoder, v: SmallIntVector) =>
-        new FieldDeserializer[Short, SmallIntVector](v) {
-          def value(i: Int): Short = vector.get(i)
+      case (PrimitiveShortEncoder | BoxedShortEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Short](encoder, v, timeZoneId) {
+          override def value(i: Int): Short = reader.getShort(i)
         }
-      case (PrimitiveIntEncoder | BoxedIntEncoder, v: IntVector) =>
-        new FieldDeserializer[Int, IntVector](v) {
-          def value(i: Int): Int = vector.get(i)
+      case (PrimitiveIntEncoder | BoxedIntEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Int](encoder, v, timeZoneId) {
+          override def value(i: Int): Int = reader.getInt(i)
         }
-      case (PrimitiveLongEncoder | BoxedLongEncoder, v: BigIntVector) =>
-        new FieldDeserializer[Long, BigIntVector](v) {
-          def value(i: Int): Long = vector.get(i)
+      case (PrimitiveLongEncoder | BoxedLongEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Long](encoder, v, timeZoneId) {
+          override def value(i: Int): Long = reader.getLong(i)
         }
-      case (PrimitiveFloatEncoder | BoxedFloatEncoder, v: Float4Vector) =>
-        new FieldDeserializer[Float, Float4Vector](v) {
-          def value(i: Int): Float = vector.get(i)
+      case (PrimitiveFloatEncoder | BoxedFloatEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Float](encoder, v, timeZoneId) {
+          override def value(i: Int): Float = reader.getFloat(i)
         }
-      case (PrimitiveDoubleEncoder | BoxedDoubleEncoder, v: Float8Vector) =>
-        new FieldDeserializer[Double, Float8Vector](v) {
-          def value(i: Int): Double = vector.get(i)
+      case (PrimitiveDoubleEncoder | BoxedDoubleEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Double](encoder, v, timeZoneId) {
+          override def value(i: Int): Double = reader.getDouble(i)
         }
-      case (NullEncoder, v: NullVector) =>
-        new FieldDeserializer[Any, NullVector](v) {
-          def value(i: Int): Any = null
+      case (NullEncoder, _: FieldVector) =>
+        new Deserializer[Any] {
+          def get(i: Int): Any = null
         }
-      case (StringEncoder, v: VarCharVector) =>
-        new FieldDeserializer[String, VarCharVector](v) {
-          def value(i: Int): String = getString(vector, i)
+      case (StringEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[String](encoder, v, timeZoneId) {
+          override def value(i: Int): String = reader.getString(i)
         }
-      case (JavaEnumEncoder(tag), v: VarCharVector) =>
+      case (JavaEnumEncoder(tag), v: FieldVector) =>
         // It would be nice if we can get Enum.valueOf working...
         val valueOf = methodLookup.findStatic(
           tag.runtimeClass,
           "valueOf",
           MethodType.methodType(tag.runtimeClass, classOf[String]))
-        new FieldDeserializer[Enum[_], VarCharVector](v) {
-          def value(i: Int): Enum[_] = {
-            valueOf.invoke(getString(vector, i)).asInstanceOf[Enum[_]]
+        new LeafFieldDeserializer[Enum[_]](encoder, v, timeZoneId) {
+          override def value(i: Int): Enum[_] = {
+            valueOf.invoke(reader.getString(i)).asInstanceOf[Enum[_]]
           }
         }
-      case (ScalaEnumEncoder(parent, _), v: VarCharVector) =>
+      case (ScalaEnumEncoder(parent, _), v: FieldVector) =>
         val mirror = scala.reflect.runtime.currentMirror
         val module = mirror.classSymbol(parent).module.asModule
         val enumeration = mirror.reflectModule(module).instance.asInstanceOf[Enumeration]
-        new FieldDeserializer[Enumeration#Value, VarCharVector](v) {
-          def value(i: Int): Enumeration#Value = enumeration.withName(getString(vector, i))
+        new LeafFieldDeserializer[Enumeration#Value](encoder, v, timeZoneId) {
+          override def value(i: Int): Enumeration#Value = {
+            enumeration.withName(reader.getString(i))
+          }
         }
-      case (BinaryEncoder, v: VarBinaryVector) =>
-        new FieldDeserializer[Array[Byte], VarBinaryVector](v) {
-          def value(i: Int): Array[Byte] = vector.get(i)
+      case (BinaryEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Array[Byte]](encoder, v, timeZoneId) {
+          override def value(i: Int): Array[Byte] = reader.getBytes(i)
         }
-      case (SparkDecimalEncoder(_), v: DecimalVector) =>
-        new FieldDeserializer[Decimal, DecimalVector](v) {
-          def value(i: Int): Decimal = Decimal(vector.getObject(i))
+      case (SparkDecimalEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[Decimal](encoder, v, timeZoneId) {
+          override def value(i: Int): Decimal = reader.getDecimal(i)
         }
-      case (ScalaDecimalEncoder(_), v: DecimalVector) =>
-        new FieldDeserializer[BigDecimal, DecimalVector](v) {
-          def value(i: Int): BigDecimal = BigDecimal(vector.getObject(i))
+      case (ScalaDecimalEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[BigDecimal](encoder, v, timeZoneId) {
+          override def value(i: Int): BigDecimal = reader.getScalaDecimal(i)
         }
-      case (JavaDecimalEncoder(_, _), v: DecimalVector) =>
-        new FieldDeserializer[JBigDecimal, DecimalVector](v) {
-          def value(i: Int): JBigDecimal = vector.getObject(i)
+      case (JavaDecimalEncoder(_, _), v: FieldVector) =>
+        new LeafFieldDeserializer[JBigDecimal](encoder, v, timeZoneId) {
+          override def value(i: Int): JBigDecimal = reader.getJavaDecimal(i)
         }
-      case (ScalaBigIntEncoder, v: DecimalVector) =>
-        new FieldDeserializer[BigInt, DecimalVector](v) {
-          def value(i: Int): BigInt = new BigInt(vector.getObject(i).toBigInteger)
+      case (ScalaBigIntEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[BigInt](encoder, v, timeZoneId) {
+          override def value(i: Int): BigInt = reader.getScalaBigInt(i)
         }
-      case (JavaBigIntEncoder, v: DecimalVector) =>
-        new FieldDeserializer[JBigInteger, DecimalVector](v) {
-          def value(i: Int): JBigInteger = vector.getObject(i).toBigInteger
+      case (JavaBigIntEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[JBigInteger](encoder, v, timeZoneId) {
+          override def value(i: Int): JBigInteger = reader.getJavaBigInt(i)
         }
-      case (DayTimeIntervalEncoder, v: DurationVector) =>
-        new FieldDeserializer[Duration, DurationVector](v) {
-          def value(i: Int): Duration = vector.getObject(i)
+      case (DayTimeIntervalEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Duration](encoder, v, timeZoneId) {
+          override def value(i: Int): Duration = reader.getDuration(i)
         }
-      case (YearMonthIntervalEncoder, v: IntervalYearVector) =>
-        new FieldDeserializer[Period, IntervalYearVector](v) {
-          def value(i: Int): Period = vector.getObject(i).normalized()
+      case (YearMonthIntervalEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[Period](encoder, v, timeZoneId) {
+          override def value(i: Int): Period = reader.getPeriod(i)
         }
-      case (DateEncoder(_), v: DateDayVector) =>
-        new FieldDeserializer[java.sql.Date, DateDayVector](v) {
-          def value(i: Int): java.sql.Date = DateTimeUtils.toJavaDate(vector.get(i))
+      case (DateEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[java.sql.Date](encoder, v, timeZoneId) {
+          override def value(i: Int): java.sql.Date = reader.getDate(i)
         }
-      case (LocalDateEncoder(_), v: DateDayVector) =>
-        new FieldDeserializer[LocalDate, DateDayVector](v) {
-          def value(i: Int): LocalDate = DateTimeUtils.daysToLocalDate(vector.get(i))
+      case (LocalDateEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[LocalDate](encoder, v, timeZoneId) {
+          override def value(i: Int): LocalDate = reader.getLocalDate(i)
         }
-      case (TimestampEncoder(_), v: TimeStampMicroTZVector) =>
-        new FieldDeserializer[java.sql.Timestamp, TimeStampMicroTZVector](v) {
-          def value(i: Int): java.sql.Timestamp = DateTimeUtils.toJavaTimestamp(vector.get(i))
+      case (TimestampEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[java.sql.Timestamp](encoder, v, timeZoneId) {
+          override def value(i: Int): java.sql.Timestamp = reader.getTimestamp(i)
         }
-      case (InstantEncoder(_), v: TimeStampMicroTZVector) =>
-        new FieldDeserializer[Instant, TimeStampMicroTZVector](v) {
-          def value(i: Int): Instant = DateTimeUtils.microsToInstant(vector.get(i))
+      case (InstantEncoder(_), v: FieldVector) =>
+        new LeafFieldDeserializer[Instant](encoder, v, timeZoneId) {
+          override def value(i: Int): Instant = reader.getInstant(i)
         }
-      case (LocalDateTimeEncoder, v: TimeStampMicroVector) =>
-        new FieldDeserializer[LocalDateTime, TimeStampMicroVector](v) {
-          def value(i: Int): LocalDateTime = DateTimeUtils.microsToLocalDateTime(vector.get(i))
+      case (LocalDateTimeEncoder, v: FieldVector) =>
+        new LeafFieldDeserializer[LocalDateTime](encoder, v, timeZoneId) {
+          override def value(i: Int): LocalDateTime = reader.getLocalDateTime(i)
         }
 
       case (OptionEncoder(value), v) =>
-        val deserializer = deserializerFor(value, v)
+        val deserializer = deserializerFor(value, v, timeZoneId)
         new Deserializer[Any] {
           override def get(i: Int): Any = Option(deserializer.get(i))
         }
 
       case (ArrayEncoder(element, _), v: ListVector) =>
-        val deserializer = deserializerFor(element, v.getDataVector)
-        new FieldDeserializer[AnyRef, ListVector](v) {
+        val deserializer = deserializerFor(element, v.getDataVector, timeZoneId)
+        new VectorFieldDeserializer[AnyRef, ListVector](v) {
           def value(i: Int): AnyRef = getArray(vector, i, deserializer)(element.clsTag)
         }
 
       case (IterableEncoder(tag, element, _, _), v: ListVector) =>
-        val deserializer = deserializerFor(element, v.getDataVector)
+        val deserializer = deserializerFor(element, v.getDataVector, timeZoneId)
         if (isSubClass(Classes.WRAPPED_ARRAY, tag)) {
           // Wrapped array is a bit special because we need to use an array of the element type.
           // Some parts of our codebase (unfortunately) rely on this for type inference on results.
-          new FieldDeserializer[mutable.WrappedArray[Any], ListVector](v) {
+          new VectorFieldDeserializer[mutable.WrappedArray[Any], ListVector](v) {
             def value(i: Int): mutable.WrappedArray[Any] = {
               val array = getArray(vector, i, deserializer)(element.clsTag)
               ScalaCollectionUtils.wrap(array)
@@ -219,7 +223,7 @@ object ArrowDeserializers {
           }
         } else if (isSubClass(Classes.ITERABLE, tag)) {
           val companion = ScalaCollectionUtils.getIterableCompanion(tag)
-          new FieldDeserializer[Iterable[Any], ListVector](v) {
+          new VectorFieldDeserializer[Iterable[Any], ListVector](v) {
             def value(i: Int): Iterable[Any] = {
               val builder = companion.newBuilder[Any]
               loadListIntoBuilder(vector, i, deserializer, builder)
@@ -228,7 +232,7 @@ object ArrowDeserializers {
           }
         } else if (isSubClass(Classes.JLIST, tag)) {
           val newInstance = resolveJavaListCreator(tag)
-          new FieldDeserializer[JList[Any], ListVector](v) {
+          new VectorFieldDeserializer[JList[Any], ListVector](v) {
             def value(i: Int): JList[Any] = {
               var index = v.getElementStartIndex(i)
               val end = v.getElementEndIndex(i)
@@ -246,12 +250,13 @@ object ArrowDeserializers {
 
       case (MapEncoder(tag, key, value, _), v: MapVector) =>
         val structVector = v.getDataVector.asInstanceOf[StructVector]
-        val keyDeserializer = deserializerFor(key, structVector.getChild(MapVector.KEY_NAME))
+        val keyDeserializer =
+          deserializerFor(key, structVector.getChild(MapVector.KEY_NAME), timeZoneId)
         val valueDeserializer =
-          deserializerFor(value, structVector.getChild(MapVector.VALUE_NAME))
+          deserializerFor(value, structVector.getChild(MapVector.VALUE_NAME), timeZoneId)
         if (isSubClass(Classes.MAP, tag)) {
           val companion = ScalaCollectionUtils.getMapCompanion(tag)
-          new FieldDeserializer[Map[Any, Any], MapVector](v) {
+          new VectorFieldDeserializer[Map[Any, Any], MapVector](v) {
             def value(i: Int): Map[Any, Any] = {
               val builder = companion.newBuilder[Any, Any]
               var index = v.getElementStartIndex(i)
@@ -266,7 +271,7 @@ object ArrowDeserializers {
           }
         } else if (isSubClass(Classes.JMAP, tag)) {
           val newInstance = resolveJavaMapCreator(tag)
-          new FieldDeserializer[JMap[Any, Any], MapVector](v) {
+          new VectorFieldDeserializer[JMap[Any, Any], MapVector](v) {
             def value(i: Int): JMap[Any, Any] = {
               val map = newInstance()
               var index = v.getElementStartIndex(i)
@@ -288,12 +293,12 @@ object ArrowDeserializers {
           ScalaReflection.findConstructor(tag.runtimeClass, fields.map(_.enc.clsTag.runtimeClass))
         val deserializers = if (isTuple(tag.runtimeClass)) {
           fields.zip(vectors).map { case (field, vector) =>
-            deserializerFor(field.enc, vector)
+            deserializerFor(field.enc, vector, timeZoneId)
           }
         } else {
           val lookup = createFieldLookup(vectors)
           fields.map { field =>
-            deserializerFor(field.enc, lookup(field.name))
+            deserializerFor(field.enc, lookup(field.name), timeZoneId)
           }
         }
         new StructFieldSerializer[Any](struct) {
@@ -305,7 +310,7 @@ object ArrowDeserializers {
       case (r @ RowEncoder(fields), StructVectors(struct, vectors)) =>
         val lookup = createFieldLookup(vectors)
         val deserializers = fields.toArray.map { field =>
-          deserializerFor(field.enc, lookup(field.name))
+          deserializerFor(field.enc, lookup(field.name), timeZoneId)
         }
         new StructFieldSerializer[Any](struct) {
           def value(i: Int): Any = {
@@ -320,7 +325,7 @@ object ArrowDeserializers {
         val lookup = createFieldLookup(vectors)
         val setters = fields.map { field =>
           val vector = lookup(field.name)
-          val deserializer = deserializerFor(field.enc, vector)
+          val deserializer = deserializerFor(field.enc, vector, timeZoneId)
           val setter = methodLookup.findVirtual(
             tag.runtimeClass,
             field.writeMethod.get,
@@ -478,9 +483,9 @@ object ArrowDeserializers {
     def get(i: Int): E
   }
 
-  abstract class FieldDeserializer[E, V <: FieldVector](val vector: V) extends Deserializer[E] {
+  abstract class FieldDeserializer[E] extends Deserializer[E] {
     def value(i: Int): E
-    def isNull(i: Int): Boolean = vector.isNull(i)
+    def isNull(i: Int): Boolean
     override def get(i: Int): E = {
       if (!isNull(i)) {
         value(i)
@@ -490,8 +495,23 @@ object ArrowDeserializers {
     }
   }
 
+  abstract class LeafFieldDeserializer[E](val reader: ArrowVectorReader)
+      extends FieldDeserializer[E] {
+    def this(encoder: AgnosticEncoder[_], vector: FieldVector, timeZoneId: String) = {
+      this(ArrowVectorReader(encoder.dataType, vector, timeZoneId))
+    }
+    def value(i: Int): E
+    def isNull(i: Int): Boolean = reader.isNull(i)
+  }
+
+  abstract class VectorFieldDeserializer[E, V <: FieldVector](val vector: V)
+      extends FieldDeserializer[E] {
+    def value(i: Int): E
+    def isNull(i: Int): Boolean = vector.isNull(i)
+  }
+
   abstract class StructFieldSerializer[E](v: StructVector)
-      extends FieldDeserializer[E, StructVector](v) {
+      extends VectorFieldDeserializer[E, StructVector](v) {
     override def isNull(i: Int): Boolean = vector != null && vector.isNull(i)
   }
 }
@@ -505,11 +525,12 @@ class EmptyDeserializingIterator[E](val encoder: AgnosticEncoder[E])
 
 class ArrowDeserializingIterator[E](
     val encoder: AgnosticEncoder[E],
-    private[this] val reader: ArrowReader)
+    private[this] val reader: ArrowReader,
+    timeZoneId: String)
     extends CloseableIterator[E] {
   private[this] var index = 0
   private[this] val root = reader.getVectorSchemaRoot
-  private[this] val deserializer = ArrowDeserializers.deserializerFor(encoder, root)
+  private[this] val deserializer = ArrowDeserializers.deserializerFor(encoder, root, timeZoneId)
 
   override def hasNext: Boolean = {
     if (index >= root.getRowCount) {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
new file mode 100644
index 0000000000000..9111b3b9ccf5d
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
@@ -0,0 +1,259 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client.arrow
+
+import java.math.{BigDecimal => JBigDecimal}
+import java.sql.{Date, Timestamp}
+import java.time.{Duration, Instant, LocalDate, LocalDateTime, Period, ZoneOffset}
+
+import org.apache.arrow.vector.{BigIntVector, BitVector, DateDayVector, DecimalVector, DurationVector, FieldVector, Float4Vector, Float8Vector, IntervalYearVector, IntVector, NullVector, SmallIntVector, TimeStampMicroTZVector, TimeStampMicroVector, TinyIntVector, VarBinaryVector, VarCharVector}
+import org.apache.arrow.vector.util.Text
+
+import org.apache.spark.sql.catalyst.expressions.Cast
+import org.apache.spark.sql.catalyst.util.{DateFormatter, IntervalUtils, StringUtils, TimestampFormatter}
+import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
+import org.apache.spark.sql.catalyst.util.DateTimeUtils._
+import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
+import org.apache.spark.sql.types.{DataType, DayTimeIntervalType, Decimal, YearMonthIntervalType}
+import org.apache.spark.sql.util.ArrowUtils
+
+/**
+ * Base class for reading leaf values from an arrow vector. This reader has read methods for all
+ * leaf data types supported by the encoder framework. A subclass should always implement one of
+ * the read methods. If upcasting is allowed for the given vector, then all allowed read methods
+ * must be implemented.
+ */
+private[arrow] abstract class ArrowVectorReader {
+  def isNull(i: Int): Boolean
+  def getBoolean(i: Int): Boolean = unsupported()
+  def getByte(i: Int): Byte = unsupported()
+  def getShort(i: Int): Short = unsupported()
+  def getInt(i: Int): Int = unsupported()
+  def getLong(i: Int): Long = unsupported()
+  def getFloat(i: Int): Float = unsupported()
+  def getDouble(i: Int): Double = unsupported()
+  def getString(i: Int): String = unsupported()
+  def getBytes(i: Int): Array[Byte] = unsupported()
+  def getJavaDecimal(i: Int): JBigDecimal = unsupported()
+  def getJavaBigInt(i: Int): java.math.BigInteger = getJavaDecimal(i).toBigInteger
+  def getScalaDecimal(i: Int): BigDecimal = BigDecimal(getJavaDecimal(i))
+  def getScalaBigInt(i: Int): BigInt = BigInt(getJavaBigInt(i))
+  def getDecimal(i: Int): Decimal = Decimal(getJavaDecimal(i))
+  def getPeriod(i: Int): java.time.Period = unsupported()
+  def getDuration(i: Int): java.time.Duration = unsupported()
+  def getDate(i: Int): java.sql.Date = unsupported()
+  def getTimestamp(i: Int): java.sql.Timestamp = unsupported()
+  def getInstant(i: Int): java.time.Instant = unsupported()
+  def getLocalDate(i: Int): java.time.LocalDate = unsupported()
+  def getLocalDateTime(i: Int): java.time.LocalDateTime = unsupported()
+  private def unsupported(): Nothing = throw new UnsupportedOperationException()
+}
+
+object ArrowVectorReader {
+  def apply(
+      targetDataType: DataType,
+      vector: FieldVector,
+      timeZoneId: String): ArrowVectorReader = {
+    val vectorDataType = ArrowUtils.fromArrowType(vector.getField.getType)
+    if (!Cast.canUpCast(vectorDataType, targetDataType)) {
+      throw new RuntimeException(
+        s"Reading '$targetDataType' values from a ${vector.getClass} instance is not supported.")
+    }
+    vector match {
+      case v: BitVector => new BitVectorReader(v)
+      case v: TinyIntVector => new TinyIntVectorReader(v)
+      case v: SmallIntVector => new SmallIntVectorReader(v)
+      case v: IntVector => new IntVectorReader(v)
+      case v: BigIntVector => new BigIntVectorReader(v)
+      case v: Float4Vector => new Float4VectorReader(v)
+      case v: Float8Vector => new Float8VectorReader(v)
+      case v: DecimalVector => new DecimalVectorReader(v)
+      case v: VarCharVector => new VarCharVectorReader(v)
+      case v: VarBinaryVector => new VarBinaryVectorReader(v)
+      case v: DurationVector => new DurationVectorReader(v)
+      case v: IntervalYearVector => new IntervalYearVectorReader(v)
+      case v: DateDayVector => new DateDayVectorReader(v, timeZoneId)
+      case v: TimeStampMicroTZVector => new TimeStampMicroTZVectorReader(v)
+      case v: TimeStampMicroVector => new TimeStampMicroVectorReader(v, timeZoneId)
+      case _: NullVector => NullVectorReader
+      case _ => throw new RuntimeException("Unsupported Vector Type: " + vector.getClass)
+    }
+  }
+}
+
+private[arrow] object NullVectorReader extends ArrowVectorReader {
+  override def isNull(i: Int): Boolean = true
+}
+
+private[arrow] abstract class TypedArrowVectorReader[E <: FieldVector](val vector: E)
+    extends ArrowVectorReader {
+  override def isNull(i: Int): Boolean = vector.isNull(i)
+}
+
+private[arrow] class BitVectorReader(v: BitVector) extends TypedArrowVectorReader[BitVector](v) {
+  override def getBoolean(i: Int): Boolean = vector.get(i) > 0
+  override def getString(i: Int): String = String.valueOf(getBoolean(i))
+}
+
+private[arrow] class TinyIntVectorReader(v: TinyIntVector)
+    extends TypedArrowVectorReader[TinyIntVector](v) {
+  override def getByte(i: Int): Byte = vector.get(i)
+  override def getShort(i: Int): Short = getByte(i)
+  override def getInt(i: Int): Int = getByte(i)
+  override def getLong(i: Int): Long = getByte(i)
+  override def getFloat(i: Int): Float = getByte(i)
+  override def getDouble(i: Int): Double = getByte(i)
+  override def getString(i: Int): String = String.valueOf(getByte(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getByte(i))
+}
+
+private[arrow] class SmallIntVectorReader(v: SmallIntVector)
+    extends TypedArrowVectorReader[SmallIntVector](v) {
+  override def getShort(i: Int): Short = vector.get(i)
+  override def getInt(i: Int): Int = getShort(i)
+  override def getLong(i: Int): Long = getShort(i)
+  override def getFloat(i: Int): Float = getShort(i)
+  override def getDouble(i: Int): Double = getShort(i)
+  override def getString(i: Int): String = String.valueOf(getShort(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getShort(i))
+}
+
+private[arrow] class IntVectorReader(v: IntVector) extends TypedArrowVectorReader[IntVector](v) {
+  override def getInt(i: Int): Int = vector.get(i)
+  override def getLong(i: Int): Long = getInt(i)
+  override def getFloat(i: Int): Float = getInt(i)
+  override def getDouble(i: Int): Double = getInt(i)
+  override def getString(i: Int): String = String.valueOf(getInt(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getInt(i))
+}
+
+private[arrow] class BigIntVectorReader(v: BigIntVector)
+    extends TypedArrowVectorReader[BigIntVector](v) {
+  override def getLong(i: Int): Long = vector.get(i)
+  override def getFloat(i: Int): Float = getLong(i)
+  override def getDouble(i: Int): Double = getLong(i)
+  override def getString(i: Int): String = String.valueOf(getLong(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getLong(i))
+  override def getTimestamp(i: Int): Timestamp = toJavaTimestamp(getLong(i) * MICROS_PER_SECOND)
+  override def getInstant(i: Int): Instant = microsToInstant(getLong(i))
+}
+
+private[arrow] class Float4VectorReader(v: Float4Vector)
+    extends TypedArrowVectorReader[Float4Vector](v) {
+  override def getFloat(i: Int): Float = vector.get(i)
+  override def getDouble(i: Int): Double = getFloat(i)
+  override def getString(i: Int): String = String.valueOf(getFloat(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getFloat(i))
+}
+
+private[arrow] class Float8VectorReader(v: Float8Vector)
+    extends TypedArrowVectorReader[Float8Vector](v) {
+  override def getDouble(i: Int): Double = vector.get(i)
+  override def getString(i: Int): String = String.valueOf(getDouble(i))
+  override def getJavaDecimal(i: Int): JBigDecimal = JBigDecimal.valueOf(getDouble(i))
+}
+
+private[arrow] class DecimalVectorReader(v: DecimalVector)
+    extends TypedArrowVectorReader[DecimalVector](v) {
+  override def getByte(i: Int): Byte = getJavaDecimal(i).byteValueExact()
+  override def getShort(i: Int): Short = getJavaDecimal(i).shortValueExact()
+  override def getInt(i: Int): Int = getJavaDecimal(i).intValueExact()
+  override def getLong(i: Int): Long = getJavaDecimal(i).longValueExact()
+  override def getFloat(i: Int): Float = getJavaDecimal(i).floatValue()
+  override def getDouble(i: Int): Double = getJavaDecimal(i).doubleValue()
+  override def getJavaDecimal(i: Int): JBigDecimal = vector.getObject(i)
+  override def getString(i: Int): String = getJavaDecimal(i).toPlainString
+}
+
+private[arrow] class VarCharVectorReader(v: VarCharVector)
+    extends TypedArrowVectorReader[VarCharVector](v) {
+  // This is currently a bit heavy on allocations:
+  // - byte array created in VarCharVector.get
+  // - CharBuffer created CharSetEncoder
+  // - char array in String
+  // By using direct buffers and reusing the char buffer
+  // we could get rid of the first two allocations.
+  override def getString(i: Int): String = Text.decode(vector.get(i))
+}
+
+private[arrow] class VarBinaryVectorReader(v: VarBinaryVector)
+    extends TypedArrowVectorReader[VarBinaryVector](v) {
+  override def getBytes(i: Int): Array[Byte] = vector.get(i)
+  override def getString(i: Int): String = StringUtils.getHexString(getBytes(i))
+}
+
+private[arrow] class DurationVectorReader(v: DurationVector)
+    extends TypedArrowVectorReader[DurationVector](v) {
+  override def getDuration(i: Int): Duration = vector.getObject(i)
+  override def getString(i: Int): String = {
+    IntervalUtils.toDayTimeIntervalString(
+      IntervalUtils.durationToMicros(getDuration(i)),
+      ANSI_STYLE,
+      DayTimeIntervalType.DEFAULT.startField,
+      DayTimeIntervalType.DEFAULT.endField)
+  }
+}
+
+private[arrow] class IntervalYearVectorReader(v: IntervalYearVector)
+    extends TypedArrowVectorReader[IntervalYearVector](v) {
+  override def getPeriod(i: Int): Period = vector.getObject(i).normalized()
+  override def getString(i: Int): String = {
+    IntervalUtils.toYearMonthIntervalString(
+      vector.get(i),
+      ANSI_STYLE,
+      YearMonthIntervalType.DEFAULT.startField,
+      YearMonthIntervalType.DEFAULT.endField)
+  }
+}
+
+private[arrow] class DateDayVectorReader(v: DateDayVector, timeZoneId: String)
+    extends TypedArrowVectorReader[DateDayVector](v) {
+  private val zone = getZoneId(timeZoneId)
+  private lazy val formatter = DateFormatter()
+  private def days(i: Int): Int = vector.get(i)
+  private def micros(i: Int): Long = daysToMicros(days(i), zone)
+  override def getDate(i: Int): Date = toJavaDate(days(i))
+  override def getLocalDate(i: Int): LocalDate = daysToLocalDate(days(i))
+  override def getTimestamp(i: Int): Timestamp = toJavaTimestamp(micros(i))
+  override def getInstant(i: Int): Instant = microsToInstant(micros(i))
+  override def getLocalDateTime(i: Int): LocalDateTime = microsToLocalDateTime(micros(i))
+  override def getString(i: Int): String = formatter.format(getLocalDate(i))
+}
+
+private[arrow] class TimeStampMicroTZVectorReader(v: TimeStampMicroTZVector)
+    extends TypedArrowVectorReader[TimeStampMicroTZVector](v) {
+  private val zone = getZoneId(v.getTimeZone)
+  private lazy val formatter = TimestampFormatter.getFractionFormatter(zone)
+  private def utcMicros(i: Int): Long = convertTz(vector.get(i), zone, ZoneOffset.UTC)
+  override def getLong(i: Int): Long = Math.floorDiv(vector.get(i), MICROS_PER_SECOND)
+  override def getTimestamp(i: Int): Timestamp = toJavaTimestamp(vector.get(i))
+  override def getInstant(i: Int): Instant = microsToInstant(vector.get(i))
+  override def getLocalDateTime(i: Int): LocalDateTime = microsToLocalDateTime(utcMicros(i))
+  override def getString(i: Int): String = formatter.format(vector.get(i))
+}
+
+private[arrow] class TimeStampMicroVectorReader(v: TimeStampMicroVector, timeZoneId: String)
+    extends TypedArrowVectorReader[TimeStampMicroVector](v) {
+  private val zone = getZoneId(timeZoneId)
+  private lazy val formatter = TimestampFormatter.getFractionFormatter(ZoneOffset.UTC)
+  private def tzMicros(i: Int): Long = convertTz(utcMicros(i), ZoneOffset.UTC, zone)
+  private def utcMicros(i: Int): Long = vector.get(i)
+  override def getTimestamp(i: Int): Timestamp = toJavaTimestamp(tzMicros(i))
+  override def getInstant(i: Int): Instant = microsToInstant(tzMicros(i))
+  override def getLocalDateTime(i: Int): LocalDateTime = microsToLocalDateTime(utcMicros(i))
+  override def getString(i: Int): String = formatter.format(utcMicros(i))
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 07dd2a96bd8f7..b69151f75bea9 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -570,8 +570,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     (col("id") / lit(10.0d)).as("b"),
     col("id"),
     lit("world").as("d"),
-    // TODO SPARK-44449 make this int again when upcasting is in.
-    (col("id") % 2).cast("double").as("a"))
+    (col("id") % 2).as("a"))
 
   private def validateMyTypeResult(result: Array[MyType]): Unit = {
     result.zipWithIndex.foreach { case (MyType(id, a, b), i) =>
@@ -818,11 +817,10 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
   }
 
   test("toJSON") {
-    // TODO SPARK-44449 make this int again when upcasting is in.
     val expected = Array(
-      """{"b":0.0,"id":0,"d":"world","a":0.0}""",
-      """{"b":0.1,"id":1,"d":"world","a":1.0}""",
-      """{"b":0.2,"id":2,"d":"world","a":0.0}""")
+      """{"b":0.0,"id":0,"d":"world","a":0}""",
+      """{"b":0.1,"id":1,"d":"world","a":1}""",
+      """{"b":0.2,"id":2,"d":"world","a":0}""")
     val result = spark
       .range(3)
       .select(generateMyTypeColumns: _*)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
index ab3e13da53178..ad75887a7e2db 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
@@ -483,9 +483,8 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
     val ds = Seq(("a", 1, 10), ("a", 2, 20), ("b", 2, 1), ("b", 1, 2), ("c", 1, 1))
       .toDF("key", "seq", "value")
     val grouped = ds.groupBy($"value").as[String, (String, Int, Int)]
-    // TODO SPARK-44449 make this string again when upcasting is in.
-    val keys = grouped.keyAs[Int].keys.sort($"value")
-    checkDataset(keys, 1, 2, 10, 20)
+    val keys = grouped.keyAs[String].keys.sort($"value")
+    checkDataset(keys, "1", "2", "10", "20")
   }
 
   test("flatMapGroupsWithState") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 16eec3eee3110..3f8ac1cb8d1d4 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -17,6 +17,7 @@
 package org.apache.spark.sql.connect.client.arrow
 
 import java.math.BigInteger
+import java.time.{Duration, Period, ZoneOffset}
 import java.util
 import java.util.{Collections, Objects}
 
@@ -32,11 +33,16 @@ import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.{AnalysisException, Row}
 import org.apache.spark.sql.catalyst.{DefinedByConstructorParams, JavaTypeInference, ScalaReflection}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BoxedIntEncoder, CalendarIntervalEncoder, DateEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, RowEncoder, StringEncoder, TimestampEncoder, UDTEncoder}
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, CalendarIntervalEncoder, DateEncoder, DayTimeIntervalEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, LocalDateTimeEncoder, NullEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, RowEncoder, ScalaDecimalEncoder, StringEncoder, TimestampEncoder, UDTEncoder, YearMonthIntervalEncoder}
 import org.apache.spark.sql.catalyst.encoders.RowEncoder.{encoderFor => toRowEncoder}
+import org.apache.spark.sql.catalyst.util.{DateFormatter, StringUtils, TimestampFormatter}
+import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
+import org.apache.spark.sql.catalyst.util.DateTimeUtils._
+import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
+import org.apache.spark.sql.catalyst.util.IntervalUtils._
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
-import org.apache.spark.sql.types.{ArrayType, DataType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType}
+import org.apache.spark.sql.types.{ArrayType, DataType, DayTimeIntervalType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType, YearMonthIntervalType}
 
 /**
  * Tests for encoding external data to and from arrow.
@@ -68,13 +74,31 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
       maxBatchSize: Long = 16 * 1024,
       batchSizeCheckInterval: Int = 128,
       inspectBatch: Array[Byte] => Unit = null): CloseableIterator[T] = {
+    roundTripWithDifferentIOEncoders(
+      encoder,
+      encoder,
+      iterator,
+      maxRecordsPerBatch,
+      maxBatchSize,
+      batchSizeCheckInterval,
+      inspectBatch)
+  }
+
+  private def roundTripWithDifferentIOEncoders[I, O](
+      inputEncoder: AgnosticEncoder[I],
+      outputEncoder: AgnosticEncoder[O],
+      iterator: Iterator[I],
+      maxRecordsPerBatch: Int = 4 * 1024,
+      maxBatchSize: Long = 16 * 1024,
+      batchSizeCheckInterval: Int = 128,
+      inspectBatch: Array[Byte] => Unit = null): CloseableIterator[O] = {
     // Use different allocators so we can pinpoint memory leaks better.
     val serializerAllocator = newAllocator("serialization")
     val deserializerAllocator = newAllocator("deserialization")
 
     val arrowIterator = ArrowSerializer.serialize(
       input = iterator,
-      enc = encoder,
+      enc = inputEncoder,
       allocator = serializerAllocator,
       maxRecordsPerBatch = maxRecordsPerBatch,
       maxBatchSize = maxBatchSize,
@@ -91,8 +115,12 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     }
 
     val resultIterator =
-      ArrowDeserializers.deserializeFromArrow(inspectedIterator, encoder, deserializerAllocator)
-    new CloseableIterator[T] {
+      ArrowDeserializers.deserializeFromArrow(
+        inspectedIterator,
+        outputEncoder,
+        deserializerAllocator,
+        timeZoneId = "UTC")
+    new CloseableIterator[O] {
       override def close(): Unit = {
         arrowIterator.close()
         resultIterator.close()
@@ -100,7 +128,7 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
         deserializerAllocator.close()
       }
       override def hasNext: Boolean = resultIterator.hasNext
-      override def next(): T = resultIterator.next()
+      override def next(): O = resultIterator.next()
     }
   }
 
@@ -156,11 +184,11 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
   }
 
   private def compareIterators[T](expected: Iterator[T], actual: Iterator[T]): Unit = {
-    expected.zipAll(actual, null, null).foreach { case (expected, actual) =>
-      assert(expected != null)
-      assert(actual != null)
-      assert(actual == expected)
+    while (expected.hasNext && actual.hasNext) {
+      assert(expected.next() == actual.next())
     }
+    assert(!expected.hasNext, "Less results produced than expected.")
+    assert(!actual.hasNext, "More results produced than expected.")
   }
 
   private class CountingBatchInspector extends (Array[Byte] => Unit) {
@@ -216,8 +244,11 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
 
   test("deserializing empty iterator") {
     withAllocator { allocator =>
-      val iterator =
-        ArrowDeserializers.deserializeFromArrow(Iterator.empty, singleIntEncoder, allocator)
+      val iterator = ArrowDeserializers.deserializeFromArrow(
+        Iterator.empty,
+        singleIntEncoder,
+        allocator,
+        timeZoneId = "UTC")
       assert(iterator.isEmpty)
       assert(allocator.getAllocatedMemory == 0)
     }
@@ -674,7 +705,11 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
         Row(Seq(1, 7, 5), Array[Byte](8.toByte, 756.toByte)))
       val arrowBatches = serializeToArrow(Iterator.single(input), wideSchemaEncoder, allocator)
       val result =
-        ArrowDeserializers.deserializeFromArrow(arrowBatches, narrowSchemaEncoder, allocator)
+        ArrowDeserializers.deserializeFromArrow(
+          arrowBatches,
+          narrowSchemaEncoder,
+          allocator,
+          timeZoneId = "UTC")
       val actual = result.next()
       assert(result.isEmpty)
       assert(expected === actual)
@@ -687,7 +722,11 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     withAllocator { allocator =>
       val arrowBatches = serializeToArrow(Iterator.empty, narrowSchemaEncoder, allocator)
       intercept[AnalysisException] {
-        ArrowDeserializers.deserializeFromArrow(arrowBatches, wideSchemaEncoder, allocator)
+        ArrowDeserializers.deserializeFromArrow(
+          arrowBatches,
+          wideSchemaEncoder,
+          allocator,
+          timeZoneId = "UTC")
       }
       arrowBatches.close()
     }
@@ -704,12 +743,160 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     withAllocator { allocator =>
       val arrowBatches = serializeToArrow(Iterator.empty, duplicateSchemaEncoder, allocator)
       intercept[AnalysisException] {
-        ArrowDeserializers.deserializeFromArrow(arrowBatches, fooSchemaEncoder, allocator)
+        ArrowDeserializers.deserializeFromArrow(
+          arrowBatches,
+          fooSchemaEncoder,
+          allocator,
+          timeZoneId = "UTC")
       }
       arrowBatches.close()
     }
   }
 
+  /* ******************************************************************** *
+   * Arrow deserialization upcasting
+   * ******************************************************************** */
+  // Not supported: UDT, CalendarInterval
+  // Not tested: Char/Varchar.
+  private case class UpCastTestCase[I](input: AgnosticEncoder[I], generator: Int => I) {
+    def test[O](output: AgnosticEncoder[O], convert: I => O): this.type = {
+      val name = "upcast " + input.dataType.catalogString + " to " + output.dataType.catalogString
+      ArrowEncoderSuite.this.test(name) {
+        def data: Iterator[I] = Iterator.tabulate(5)(generator)
+        val result = roundTripWithDifferentIOEncoders(input, output, data)
+        try {
+          compareIterators(data.map(convert), result)
+        } finally {
+          result.close()
+        }
+      }
+      this
+    }
+
+    def nullTest[O](e: AgnosticEncoder[O]): this.type = {
+      test(e, _.asInstanceOf[O])
+    }
+  }
+
+  private val timestampFormatter = TimestampFormatter.getFractionFormatter(ZoneOffset.UTC)
+  private val dateFormatter = DateFormatter()
+
+  private def scalaDecimalEncoder(precision: Int, scale: Int = 0): ScalaDecimalEncoder = {
+    ScalaDecimalEncoder(DecimalType(precision, scale))
+  }
+
+  UpCastTestCase(NullEncoder, _ => null)
+    .nullTest(BoxedBooleanEncoder)
+    .nullTest(BoxedByteEncoder)
+    .nullTest(BoxedShortEncoder)
+    .nullTest(BoxedIntEncoder)
+    .nullTest(BoxedLongEncoder)
+    .nullTest(BoxedFloatEncoder)
+    .nullTest(BoxedDoubleEncoder)
+    .nullTest(StringEncoder)
+    .nullTest(DateEncoder(false))
+    .nullTest(TimestampEncoder(false))
+  UpCastTestCase(PrimitiveBooleanEncoder, _ % 2 == 0)
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveByteEncoder, i => i.toByte)
+    .test(PrimitiveShortEncoder, _.toShort)
+    .test(PrimitiveIntEncoder, _.toInt)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(PrimitiveFloatEncoder, _.toFloat)
+    .test(PrimitiveDoubleEncoder, _.toDouble)
+    .test(scalaDecimalEncoder(3), BigDecimal(_))
+    .test(scalaDecimalEncoder(5, 2), BigDecimal(_))
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveShortEncoder, i => i.toShort)
+    .test(PrimitiveIntEncoder, _.toInt)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(PrimitiveFloatEncoder, _.toFloat)
+    .test(PrimitiveDoubleEncoder, _.toDouble)
+    .test(scalaDecimalEncoder(5), BigDecimal(_))
+    .test(scalaDecimalEncoder(10, 5), BigDecimal(_))
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveIntEncoder, i => i)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(PrimitiveFloatEncoder, _.toFloat)
+    .test(PrimitiveDoubleEncoder, _.toDouble)
+    .test(scalaDecimalEncoder(10), BigDecimal(_))
+    .test(scalaDecimalEncoder(13, 3), BigDecimal(_))
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveLongEncoder, i => i.toLong)
+    .test(PrimitiveFloatEncoder, _.toFloat)
+    .test(PrimitiveDoubleEncoder, _.toDouble)
+    .test(scalaDecimalEncoder(20), BigDecimal(_))
+    .test(scalaDecimalEncoder(25, 5), BigDecimal(_))
+    .test(TimestampEncoder(false), s => toJavaTimestamp(s * MICROS_PER_SECOND))
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveFloatEncoder, i => i.toFloat)
+    .test(PrimitiveDoubleEncoder, _.toDouble)
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(PrimitiveDoubleEncoder, i => i.toDouble)
+    .test(StringEncoder, _.toString)
+  UpCastTestCase(scalaDecimalEncoder(2), BigDecimal(_))
+    .test(PrimitiveByteEncoder, _.toByte)
+    .test(PrimitiveShortEncoder, _.toShort)
+    .test(PrimitiveIntEncoder, _.toInt)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(scalaDecimalEncoder(7, 5), identity)
+    .test(StringEncoder, _.toString())
+  UpCastTestCase(scalaDecimalEncoder(4), BigDecimal(_))
+    .test(PrimitiveShortEncoder, _.toShort)
+    .test(PrimitiveIntEncoder, _.toInt)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(scalaDecimalEncoder(10, 1), identity)
+    .test(StringEncoder, _.toString())
+  UpCastTestCase(scalaDecimalEncoder(9), BigDecimal(_))
+    .test(PrimitiveIntEncoder, _.toInt)
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(scalaDecimalEncoder(13, 4), identity)
+    .test(StringEncoder, _.toString())
+  UpCastTestCase(scalaDecimalEncoder(19), BigDecimal(_))
+    .test(PrimitiveLongEncoder, _.toLong)
+    .test(scalaDecimalEncoder(23, 1), identity)
+    .test(StringEncoder, _.toString())
+  UpCastTestCase(scalaDecimalEncoder(7, 3), BigDecimal(_))
+    .test(scalaDecimalEncoder(9, 5), identity)
+    .test(scalaDecimalEncoder(23, 3), identity)
+  UpCastTestCase(DateEncoder(false), i => toJavaDate(i))
+    .test(
+      TimestampEncoder(false),
+      date => toJavaTimestamp(daysToMicros(fromJavaDate(date), ZoneOffset.UTC)))
+    .test(
+      LocalDateTimeEncoder,
+      date => microsToLocalDateTime(daysToMicros(fromJavaDate(date), ZoneOffset.UTC)))
+    .test(StringEncoder, date => dateFormatter.format(date))
+  UpCastTestCase(TimestampEncoder(false), i => toJavaTimestamp(i))
+    .test(PrimitiveLongEncoder, ts => Math.floorDiv(fromJavaTimestamp(ts), MICROS_PER_SECOND))
+    .test(LocalDateTimeEncoder, ts => microsToLocalDateTime(fromJavaTimestamp(ts)))
+    .test(StringEncoder, ts => timestampFormatter.format(ts))
+  UpCastTestCase(LocalDateTimeEncoder, i => microsToLocalDateTime(i))
+    .test(TimestampEncoder(false), ldt => toJavaTimestamp(localDateTimeToMicros(ldt)))
+    .test(StringEncoder, ldt => timestampFormatter.format(ldt))
+  UpCastTestCase(DayTimeIntervalEncoder, i => Duration.ofDays(i))
+    .test(
+      StringEncoder,
+      { i =>
+        toDayTimeIntervalString(
+          durationToMicros(i),
+          ANSI_STYLE,
+          DayTimeIntervalType.DEFAULT.startField,
+          DayTimeIntervalType.DEFAULT.endField)
+      })
+  UpCastTestCase(YearMonthIntervalEncoder, i => Period.ofMonths(i))
+    .test(
+      StringEncoder,
+      { i =>
+        toYearMonthIntervalString(
+          periodToMonths(i),
+          ANSI_STYLE,
+          YearMonthIntervalType.DEFAULT.startField,
+          YearMonthIntervalType.DEFAULT.endField)
+      })
+  UpCastTestCase(BinaryEncoder, i => Array.tabulate(10)(j => (64 + j + i).toByte))
+    .test(StringEncoder, bytes => StringUtils.getHexString(bytes))
+
   /* ******************************************************************** *
    * Arrow serialization/deserialization specific errors
    * ******************************************************************** */

From f1377a856e85977aafe3bf13cce1da7b4d4ed195 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Tue, 25 Jul 2023 08:54:00 +0800
Subject: [PATCH 054/986] [SPARK-44131][SQL][PYTHON][CONNECT][FOLLOWUP] Support
 qualified function name for call_function

### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/41687 added `call_function` and deprecate `call_udf` for Scala API.

Some times, the function name can be qualified, we should let users use it to invoke persistent functions as well.

### Why are the changes needed?
Support qualified function name for `call_function`.

### Does this PR introduce _any_ user-facing change?
'No'.
New feature.

### How was this patch tested?
New test cases.

Closes #41932 from beliefer/SPARK-44131_followup.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d97a4e214c7e11bcc9b7d6e126bf06e214a29988)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/functions.scala      |  10 +-
 .../spark/sql/application/ReplE2ESuite.scala  |  10 ++
 .../protobuf/spark/connect/expressions.proto  |   9 ++
 .../queries/function_call_function.json       |   2 +-
 .../queries/function_call_function.proto.bin  | Bin 174 -> 175 bytes
 .../connect/planner/SparkConnectPlanner.scala |  19 +++
 python/pyspark/sql/connect/expressions.py     |  24 ++++
 python/pyspark/sql/connect/functions.py       |   6 +-
 .../sql/connect/proto/expressions_pb2.py      | 118 +++++++++---------
 .../sql/connect/proto/expressions_pb2.pyi     |  36 ++++++
 python/pyspark/sql/functions.py               |  23 +++-
 .../org/apache/spark/sql/functions.scala      |  22 +++-
 .../spark/sql/DataFrameFunctionsSuite.scala   |  20 +++
 .../sql/hive/execution/HiveUDFSuite.scala     |  15 ++-
 14 files changed, 238 insertions(+), 76 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index 17d1cdca350d5..eac3f6523204a 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -7923,15 +7923,19 @@ object functions {
   def call_udf(udfName: String, cols: Column*): Column = call_function(udfName, cols: _*)
 
   /**
-   * Call a builtin or temp function.
+   * Call a SQL function.
    *
    * @param funcName
-   *   function name
+   *   function name that follows the SQL identifier syntax (can be quoted, can be qualified)
    * @param cols
    *   the expression parameters of function
    * @since 3.5.0
    */
   @scala.annotation.varargs
-  def call_function(funcName: String, cols: Column*): Column = Column.fn(funcName, cols: _*)
+  def call_function(funcName: String, cols: Column*): Column = Column { builder =>
+    builder.getCallFunctionBuilder
+      .setFunctionName(funcName)
+      .addAllArguments(cols.map(_.expr).asJava)
+  }
 
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 800ce43a60df0..ad2ca383e4f1b 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -239,4 +239,14 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     val output = runCommandsInShell(input)
     assertContains("Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])", output)
   }
+
+  test("call_function") {
+    val input = """
+        |val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
+        |spark.udf.register("simpleUDF", (v: Int) => v * v)
+        |df.select($"id", call_function("simpleUDF", $"value")).collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])", output)
+  }
 }
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/expressions.proto b/connector/connect/common/src/main/protobuf/spark/connect/expressions.proto
index 37a8778865d52..557b9db912376 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/expressions.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/expressions.proto
@@ -46,6 +46,7 @@ message Expression {
     UpdateFields update_fields = 13;
     UnresolvedNamedLambdaVariable unresolved_named_lambda_variable = 14;
     CommonInlineUserDefinedFunction common_inline_user_defined_function = 15;
+    CallFunction call_function = 16;
 
     // This field is used to mark extensions to the protocol. When plugins generate arbitrary
     // relations they can add them here. During the planning the correct resolution is done.
@@ -371,3 +372,11 @@ message JavaUDF {
   // (Required) Indicate if the Java user-defined function is an aggregate function
   bool aggregate = 3;
 }
+
+message CallFunction {
+  // (Required) Unparsed name of the SQL function.
+  string function_name = 1;
+
+  // (Optional) Function arguments. Empty arguments are allowed.
+  repeated Expression arguments = 2;
+}
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.json b/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.json
index f7fe5beba2c02..6db0a614682d6 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.json
@@ -12,7 +12,7 @@
       }
     },
     "expressions": [{
-      "unresolvedFunction": {
+      "callFunction": {
         "functionName": "lower",
         "arguments": [{
           "unresolvedAttribute": {
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_call_function.proto.bin
index 7c736d93f77290834160f512253b6b9423262796..ef985e421317668e360e4a2ebc75633aa7f8bb3f 100644
GIT binary patch
delta 33
ocmZ3-xSo-Xi%Eb{YQ;ph=|X}{jC@?IIr-(OMMA7X%v_A=0Dbia{Qv*}

delta 32
ncmZ3_xQ>yHi%Eb{YWYOA>4E}Md|a$K`Q@oaLaai}T#V@ea~1}X

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 92a9524f67aaf..36037cce7eb70 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -1380,6 +1380,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         transformExpressionPlugin(exp.getExtension)
       case proto.Expression.ExprTypeCase.COMMON_INLINE_USER_DEFINED_FUNCTION =>
         transformCommonInlineUserDefinedFunction(exp.getCommonInlineUserDefinedFunction)
+      case proto.Expression.ExprTypeCase.CALL_FUNCTION =>
+        transformCallFunction(exp.getCallFunction)
       case _ =>
         throw InvalidPlanInput(
           s"Expression with ID: ${exp.getExprTypeCase.getNumber} is not supported")
@@ -1484,6 +1486,23 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     }
   }
 
+  /**
+   * Translates a SQL function from proto to the Catalyst expression.
+   *
+   * @param fun
+   *   Proto representation of the function call.
+   * @return
+   *   Expression.
+   */
+  private def transformCallFunction(fun: proto.CallFunction): Expression = {
+    val funcName = fun.getFunctionName
+    val nameParts = session.sessionState.sqlParser.parseMultipartIdentifier(funcName)
+    UnresolvedFunction(
+      nameParts,
+      fun.getArgumentsList.asScala.map(transformExpression).toSeq,
+      false)
+  }
+
   private def unpackUdf(fun: proto.CommonInlineUserDefinedFunction): UdfPacket = {
     Utils.deserialize[UdfPacket](
       fun.getScalarScalaUdf.getPayload.toByteArray,
diff --git a/python/pyspark/sql/connect/expressions.py b/python/pyspark/sql/connect/expressions.py
index e1b648c7bb8ba..44e6e174f70c5 100644
--- a/python/pyspark/sql/connect/expressions.py
+++ b/python/pyspark/sql/connect/expressions.py
@@ -1027,3 +1027,27 @@ def to_plan(self, session: "SparkConnectClient") -> proto.Expression:
 
     def __repr__(self) -> str:
         return "DistributedSequenceID()"
+
+
+class CallFunction(Expression):
+    def __init__(self, name: str, args: Sequence["Expression"]):
+        super().__init__()
+
+        assert isinstance(name, str)
+        self._name = name
+
+        assert isinstance(args, list) and all(isinstance(arg, Expression) for arg in args)
+        self._args = args
+
+    def to_plan(self, session: "SparkConnectClient") -> "proto.Expression":
+        expr = proto.Expression()
+        expr.call_function.function_name = self._name
+        if len(self._args) > 0:
+            expr.call_function.arguments.extend([arg.to_plan(session) for arg in self._args])
+        return expr
+
+    def __repr__(self) -> str:
+        if len(self._args) > 0:
+            return f"CallFunction('{self._name}', {', '.join([str(arg) for arg in self._args])})"
+        else:
+            return f"CallFunction('{self._name}')"
diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index a1c0516ee0dd3..a92f89c0f6c76 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -51,6 +51,7 @@
     SQLExpression,
     LambdaFunction,
     UnresolvedNamedLambdaVariable,
+    CallFunction,
 )
 from pyspark.sql.connect.udf import _create_py_udf
 from pyspark.sql.connect.udtf import _create_py_udtf
@@ -3909,8 +3910,9 @@ def udtf(
 udtf.__doc__ = pysparkfuncs.udtf.__doc__
 
 
-def call_function(udfName: str, *cols: "ColumnOrName") -> Column:
-    return _invoke_function(udfName, *[_to_col(c) for c in cols])
+def call_function(funcName: str, *cols: "ColumnOrName") -> Column:
+    expressions = [_to_col(c)._expr for c in cols]
+    return Column(CallFunction(funcName, expressions))
 
 
 call_function.__doc__ = pysparkfuncs.call_function.__doc__
diff --git a/python/pyspark/sql/connect/proto/expressions_pb2.py b/python/pyspark/sql/connect/proto/expressions_pb2.py
index 7a68d831a996c..51d1a5d48a161 100644
--- a/python/pyspark/sql/connect/proto/expressions_pb2.py
+++ b/python/pyspark/sql/connect/proto/expressions_pb2.py
@@ -33,7 +33,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1fspark/connect/expressions.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x19spark/connect/types.proto"\x95+\n\nExpression\x12=\n\x07literal\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralH\x00R\x07literal\x12\x62\n\x14unresolved_attribute\x18\x02 \x01(\x0b\x32-.spark.connect.Expression.UnresolvedAttributeH\x00R\x13unresolvedAttribute\x12_\n\x13unresolved_function\x18\x03 \x01(\x0b\x32,.spark.connect.Expression.UnresolvedFunctionH\x00R\x12unresolvedFunction\x12Y\n\x11\x65xpression_string\x18\x04 \x01(\x0b\x32*.spark.connect.Expression.ExpressionStringH\x00R\x10\x65xpressionString\x12S\n\x0funresolved_star\x18\x05 \x01(\x0b\x32(.spark.connect.Expression.UnresolvedStarH\x00R\x0eunresolvedStar\x12\x37\n\x05\x61lias\x18\x06 \x01(\x0b\x32\x1f.spark.connect.Expression.AliasH\x00R\x05\x61lias\x12\x34\n\x04\x63\x61st\x18\x07 \x01(\x0b\x32\x1e.spark.connect.Expression.CastH\x00R\x04\x63\x61st\x12V\n\x10unresolved_regex\x18\x08 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\x01(\x08R\x15isUserDefinedFunction\x1a\x32\n\x10\x45xpressionString\x12\x1e\n\nexpression\x18\x01 \x01(\tR\nexpression\x1aR\n\x0eUnresolvedStar\x12,\n\x0funparsed_target\x18\x01 \x01(\tH\x00R\x0eunparsedTarget\x88\x01\x01\x42\x12\n\x10_unparsed_target\x1aV\n\x0fUnresolvedRegex\x12\x19\n\x08\x63ol_name\x18\x01 \x01(\tR\x07\x63olName\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id\x1a\x84\x01\n\x16UnresolvedExtractValue\x12/\n\x05\x63hild\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x05\x63hild\x12\x39\n\nextraction\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\nextraction\x1a\xbb\x01\n\x0cUpdateFields\x12\x46\n\x11struct_expression\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x10structExpression\x12\x1d\n\nfield_name\x18\x02 \x01(\tR\tfieldName\x12\x44\n\x10value_expression\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x0fvalueExpression\x1ax\n\x05\x41lias\x12-\n\x04\x65xpr\x18\x01 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\x01(\x0b\x32\x1d.spark.connect.ScalarScalaUDFH\x00R\x0escalarScalaUdf\x12\x33\n\x08java_udf\x18\x06 \x01(\x0b\x32\x16.spark.connect.JavaUDFH\x00R\x07javaUdfB\n\n\x08\x66unction"\x9b\x01\n\tPythonUDF\x12\x38\n\x0boutput_type\x18\x01 \x01(\x0b\x32\x17.spark.connect.DataTypeR\noutputType\x12\x1b\n\teval_type\x18\x02 \x01(\x05R\x08\x65valType\x12\x18\n\x07\x63ommand\x18\x03 \x01(\x0cR\x07\x63ommand\x12\x1d\n\npython_ver\x18\x04 \x01(\tR\tpythonVer"\xb8\x01\n\x0eScalarScalaUDF\x12\x18\n\x07payload\x18\x01 \x01(\x0cR\x07payload\x12\x37\n\ninputTypes\x18\x02 \x03(\x0b\x32\x17.spark.connect.DataTypeR\ninputTypes\x12\x37\n\noutputType\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeR\noutputType\x12\x1a\n\x08nullable\x18\x04 \x01(\x08R\x08nullable"\x95\x01\n\x07JavaUDF\x12\x1d\n\nclass_name\x18\x01 \x01(\tR\tclassName\x12=\n\x0boutput_type\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\noutputType\x88\x01\x01\x12\x1c\n\taggregate\x18\x03 \x01(\x08R\taggregateB\x0e\n\x0c_output_type"l\n\x0c\x43\x61llFunction\x12#\n\rfunction_name\x18\x01 \x01(\tR\x0c\x66unctionName\x12\x37\n\targuments\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\targumentsB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3'
 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -45,61 +45,63 @@
         b"\n\036org.apache.spark.connect.protoP\001Z\022internal/generated"
     )
     _EXPRESSION._serialized_start = 105
-    _EXPRESSION._serialized_end = 5630
-    _EXPRESSION_WINDOW._serialized_start = 1475
-    _EXPRESSION_WINDOW._serialized_end = 2258
-    _EXPRESSION_WINDOW_WINDOWFRAME._serialized_start = 1765
-    _EXPRESSION_WINDOW_WINDOWFRAME._serialized_end = 2258
-    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMEBOUNDARY._serialized_start = 2032
-    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMEBOUNDARY._serialized_end = 2177
-    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMETYPE._serialized_start = 2179
-    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMETYPE._serialized_end = 2258
-    _EXPRESSION_SORTORDER._serialized_start = 2261
-    _EXPRESSION_SORTORDER._serialized_end = 2686
-    _EXPRESSION_SORTORDER_SORTDIRECTION._serialized_start = 2491
-    _EXPRESSION_SORTORDER_SORTDIRECTION._serialized_end = 2599
-    _EXPRESSION_SORTORDER_NULLORDERING._serialized_start = 2601
-    _EXPRESSION_SORTORDER_NULLORDERING._serialized_end = 2686
-    _EXPRESSION_CAST._serialized_start = 2689
-    _EXPRESSION_CAST._serialized_end = 2834
-    _EXPRESSION_LITERAL._serialized_start = 2837
-    _EXPRESSION_LITERAL._serialized_end = 4400
-    _EXPRESSION_LITERAL_DECIMAL._serialized_start = 3672
-    _EXPRESSION_LITERAL_DECIMAL._serialized_end = 3789
-    _EXPRESSION_LITERAL_CALENDARINTERVAL._serialized_start = 3791
-    _EXPRESSION_LITERAL_CALENDARINTERVAL._serialized_end = 3889
-    _EXPRESSION_LITERAL_ARRAY._serialized_start = 3892
-    _EXPRESSION_LITERAL_ARRAY._serialized_end = 4022
-    _EXPRESSION_LITERAL_MAP._serialized_start = 4025
-    _EXPRESSION_LITERAL_MAP._serialized_end = 4252
-    _EXPRESSION_LITERAL_STRUCT._serialized_start = 4255
-    _EXPRESSION_LITERAL_STRUCT._serialized_end = 4384
-    _EXPRESSION_UNRESOLVEDATTRIBUTE._serialized_start = 4402
-    _EXPRESSION_UNRESOLVEDATTRIBUTE._serialized_end = 4514
-    _EXPRESSION_UNRESOLVEDFUNCTION._serialized_start = 4517
-    _EXPRESSION_UNRESOLVEDFUNCTION._serialized_end = 4721
-    _EXPRESSION_EXPRESSIONSTRING._serialized_start = 4723
-    _EXPRESSION_EXPRESSIONSTRING._serialized_end = 4773
-    _EXPRESSION_UNRESOLVEDSTAR._serialized_start = 4775
-    _EXPRESSION_UNRESOLVEDSTAR._serialized_end = 4857
-    _EXPRESSION_UNRESOLVEDREGEX._serialized_start = 4859
-    _EXPRESSION_UNRESOLVEDREGEX._serialized_end = 4945
-    _EXPRESSION_UNRESOLVEDEXTRACTVALUE._serialized_start = 4948
-    _EXPRESSION_UNRESOLVEDEXTRACTVALUE._serialized_end = 5080
-    _EXPRESSION_UPDATEFIELDS._serialized_start = 5083
-    _EXPRESSION_UPDATEFIELDS._serialized_end = 5270
-    _EXPRESSION_ALIAS._serialized_start = 5272
-    _EXPRESSION_ALIAS._serialized_end = 5392
-    _EXPRESSION_LAMBDAFUNCTION._serialized_start = 5395
-    _EXPRESSION_LAMBDAFUNCTION._serialized_end = 5553
-    _EXPRESSION_UNRESOLVEDNAMEDLAMBDAVARIABLE._serialized_start = 5555
-    _EXPRESSION_UNRESOLVEDNAMEDLAMBDAVARIABLE._serialized_end = 5617
-    _COMMONINLINEUSERDEFINEDFUNCTION._serialized_start = 5633
-    _COMMONINLINEUSERDEFINEDFUNCTION._serialized_end = 5997
-    _PYTHONUDF._serialized_start = 6000
-    _PYTHONUDF._serialized_end = 6155
-    _SCALARSCALAUDF._serialized_start = 6158
-    _SCALARSCALAUDF._serialized_end = 6342
-    _JAVAUDF._serialized_start = 6345
-    _JAVAUDF._serialized_end = 6494
+    _EXPRESSION._serialized_end = 5698
+    _EXPRESSION_WINDOW._serialized_start = 1543
+    _EXPRESSION_WINDOW._serialized_end = 2326
+    _EXPRESSION_WINDOW_WINDOWFRAME._serialized_start = 1833
+    _EXPRESSION_WINDOW_WINDOWFRAME._serialized_end = 2326
+    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMEBOUNDARY._serialized_start = 2100
+    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMEBOUNDARY._serialized_end = 2245
+    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMETYPE._serialized_start = 2247
+    _EXPRESSION_WINDOW_WINDOWFRAME_FRAMETYPE._serialized_end = 2326
+    _EXPRESSION_SORTORDER._serialized_start = 2329
+    _EXPRESSION_SORTORDER._serialized_end = 2754
+    _EXPRESSION_SORTORDER_SORTDIRECTION._serialized_start = 2559
+    _EXPRESSION_SORTORDER_SORTDIRECTION._serialized_end = 2667
+    _EXPRESSION_SORTORDER_NULLORDERING._serialized_start = 2669
+    _EXPRESSION_SORTORDER_NULLORDERING._serialized_end = 2754
+    _EXPRESSION_CAST._serialized_start = 2757
+    _EXPRESSION_CAST._serialized_end = 2902
+    _EXPRESSION_LITERAL._serialized_start = 2905
+    _EXPRESSION_LITERAL._serialized_end = 4468
+    _EXPRESSION_LITERAL_DECIMAL._serialized_start = 3740
+    _EXPRESSION_LITERAL_DECIMAL._serialized_end = 3857
+    _EXPRESSION_LITERAL_CALENDARINTERVAL._serialized_start = 3859
+    _EXPRESSION_LITERAL_CALENDARINTERVAL._serialized_end = 3957
+    _EXPRESSION_LITERAL_ARRAY._serialized_start = 3960
+    _EXPRESSION_LITERAL_ARRAY._serialized_end = 4090
+    _EXPRESSION_LITERAL_MAP._serialized_start = 4093
+    _EXPRESSION_LITERAL_MAP._serialized_end = 4320
+    _EXPRESSION_LITERAL_STRUCT._serialized_start = 4323
+    _EXPRESSION_LITERAL_STRUCT._serialized_end = 4452
+    _EXPRESSION_UNRESOLVEDATTRIBUTE._serialized_start = 4470
+    _EXPRESSION_UNRESOLVEDATTRIBUTE._serialized_end = 4582
+    _EXPRESSION_UNRESOLVEDFUNCTION._serialized_start = 4585
+    _EXPRESSION_UNRESOLVEDFUNCTION._serialized_end = 4789
+    _EXPRESSION_EXPRESSIONSTRING._serialized_start = 4791
+    _EXPRESSION_EXPRESSIONSTRING._serialized_end = 4841
+    _EXPRESSION_UNRESOLVEDSTAR._serialized_start = 4843
+    _EXPRESSION_UNRESOLVEDSTAR._serialized_end = 4925
+    _EXPRESSION_UNRESOLVEDREGEX._serialized_start = 4927
+    _EXPRESSION_UNRESOLVEDREGEX._serialized_end = 5013
+    _EXPRESSION_UNRESOLVEDEXTRACTVALUE._serialized_start = 5016
+    _EXPRESSION_UNRESOLVEDEXTRACTVALUE._serialized_end = 5148
+    _EXPRESSION_UPDATEFIELDS._serialized_start = 5151
+    _EXPRESSION_UPDATEFIELDS._serialized_end = 5338
+    _EXPRESSION_ALIAS._serialized_start = 5340
+    _EXPRESSION_ALIAS._serialized_end = 5460
+    _EXPRESSION_LAMBDAFUNCTION._serialized_start = 5463
+    _EXPRESSION_LAMBDAFUNCTION._serialized_end = 5621
+    _EXPRESSION_UNRESOLVEDNAMEDLAMBDAVARIABLE._serialized_start = 5623
+    _EXPRESSION_UNRESOLVEDNAMEDLAMBDAVARIABLE._serialized_end = 5685
+    _COMMONINLINEUSERDEFINEDFUNCTION._serialized_start = 5701
+    _COMMONINLINEUSERDEFINEDFUNCTION._serialized_end = 6065
+    _PYTHONUDF._serialized_start = 6068
+    _PYTHONUDF._serialized_end = 6223
+    _SCALARSCALAUDF._serialized_start = 6226
+    _SCALARSCALAUDF._serialized_end = 6410
+    _JAVAUDF._serialized_start = 6413
+    _JAVAUDF._serialized_end = 6562
+    _CALLFUNCTION._serialized_start = 6564
+    _CALLFUNCTION._serialized_end = 6672
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/expressions_pb2.pyi b/python/pyspark/sql/connect/proto/expressions_pb2.pyi
index bef87203b55a1..b9b16ce35e3fe 100644
--- a/python/pyspark/sql/connect/proto/expressions_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/expressions_pb2.pyi
@@ -1101,6 +1101,7 @@ class Expression(google.protobuf.message.Message):
     UPDATE_FIELDS_FIELD_NUMBER: builtins.int
     UNRESOLVED_NAMED_LAMBDA_VARIABLE_FIELD_NUMBER: builtins.int
     COMMON_INLINE_USER_DEFINED_FUNCTION_FIELD_NUMBER: builtins.int
+    CALL_FUNCTION_FIELD_NUMBER: builtins.int
     EXTENSION_FIELD_NUMBER: builtins.int
     @property
     def literal(self) -> global___Expression.Literal: ...
@@ -1135,6 +1136,8 @@ class Expression(google.protobuf.message.Message):
     @property
     def common_inline_user_defined_function(self) -> global___CommonInlineUserDefinedFunction: ...
     @property
+    def call_function(self) -> global___CallFunction: ...
+    @property
     def extension(self) -> google.protobuf.any_pb2.Any:
         """This field is used to mark extensions to the protocol. When plugins generate arbitrary
         relations they can add them here. During the planning the correct resolution is done.
@@ -1158,6 +1161,7 @@ class Expression(google.protobuf.message.Message):
         unresolved_named_lambda_variable: global___Expression.UnresolvedNamedLambdaVariable
         | None = ...,
         common_inline_user_defined_function: global___CommonInlineUserDefinedFunction | None = ...,
+        call_function: global___CallFunction | None = ...,
         extension: google.protobuf.any_pb2.Any | None = ...,
     ) -> None: ...
     def HasField(
@@ -1165,6 +1169,8 @@ class Expression(google.protobuf.message.Message):
         field_name: typing_extensions.Literal[
             "alias",
             b"alias",
+            "call_function",
+            b"call_function",
             "cast",
             b"cast",
             "common_inline_user_defined_function",
@@ -1204,6 +1210,8 @@ class Expression(google.protobuf.message.Message):
         field_name: typing_extensions.Literal[
             "alias",
             b"alias",
+            "call_function",
+            b"call_function",
             "cast",
             b"cast",
             "common_inline_user_defined_function",
@@ -1256,6 +1264,7 @@ class Expression(google.protobuf.message.Message):
         "update_fields",
         "unresolved_named_lambda_variable",
         "common_inline_user_defined_function",
+        "call_function",
         "extension",
     ] | None: ...
 
@@ -1469,3 +1478,30 @@ class JavaUDF(google.protobuf.message.Message):
     ) -> typing_extensions.Literal["output_type"] | None: ...
 
 global___JavaUDF = JavaUDF
+
+class CallFunction(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    FUNCTION_NAME_FIELD_NUMBER: builtins.int
+    ARGUMENTS_FIELD_NUMBER: builtins.int
+    function_name: builtins.str
+    """(Required) Unparsed name of the SQL function."""
+    @property
+    def arguments(
+        self,
+    ) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Expression]:
+        """(Optional) Function arguments. Empty arguments are allowed."""
+    def __init__(
+        self,
+        *,
+        function_name: builtins.str = ...,
+        arguments: collections.abc.Iterable[global___Expression] | None = ...,
+    ) -> None: ...
+    def ClearField(
+        self,
+        field_name: typing_extensions.Literal[
+            "arguments", b"arguments", "function_name", b"function_name"
+        ],
+    ) -> None: ...
+
+global___CallFunction = CallFunction
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index f566fcee0e3de..b45e1daa0fd2e 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -14395,16 +14395,16 @@ def call_udf(udfName: str, *cols: "ColumnOrName") -> Column:
 
 
 @try_remote_functions
-def call_function(udfName: str, *cols: "ColumnOrName") -> Column:
+def call_function(funcName: str, *cols: "ColumnOrName") -> Column:
     """
-    Call a builtin or temp function.
+    Call a SQL function.
 
     .. versionadded:: 3.5.0
 
     Parameters
     ----------
-    udfName : str
-        name of the function
+    funcName : str
+        function name that follows the SQL identifier syntax (can be quoted, can be qualified)
     cols : :class:`~pyspark.sql.Column` or str
         column names or :class:`~pyspark.sql.Column`\\s to be used in the function
 
@@ -14442,9 +14442,22 @@ def call_function(udfName: str, *cols: "ColumnOrName") -> Column:
     +-------+
     |    2.0|
     +-------+
+    >>> _ = spark.sql("CREATE FUNCTION custom_avg AS 'test.org.apache.spark.sql.MyDoubleAvg'")
+    >>> df.select(call_function("custom_avg", col("id"))).show()
+    +------------------------------------+
+    |spark_catalog.default.custom_avg(id)|
+    +------------------------------------+
+    |                               102.0|
+    +------------------------------------+
+    >>> df.select(call_function("spark_catalog.default.custom_avg", col("id"))).show()
+    +------------------------------------+
+    |spark_catalog.default.custom_avg(id)|
+    +------------------------------------+
+    |                               102.0|
+    +------------------------------------+
     """
     sc = get_active_spark_context()
-    return _invoke_function("call_function", udfName, _to_seq(sc, cols, _to_java_column))
+    return _invoke_function("call_function", funcName, _to_seq(sc, cols, _to_java_column))
 
 
 @try_remote_functions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index 2a8cfd250c98c..ca5e4422ca9ca 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -8338,7 +8338,7 @@ object functions {
   @scala.annotation.varargs
   @deprecated("Use call_udf")
   def callUDF(udfName: String, cols: Column*): Column =
-    call_function(udfName, cols: _*)
+    call_function(Seq(udfName), cols: _*)
 
   /**
    * Call an user-defined function.
@@ -8357,18 +8357,28 @@ object functions {
    */
   @scala.annotation.varargs
   def call_udf(udfName: String, cols: Column*): Column =
-    call_function(udfName, cols: _*)
+    call_function(Seq(udfName), cols: _*)
 
   /**
-   * Call a builtin or temp function.
+   * Call a SQL function.
    *
-   * @param funcName function name
+   * @param funcName function name that follows the SQL identifier syntax
+   *                 (can be quoted, can be qualified)
    * @param cols the expression parameters of function
    * @since 3.5.0
    */
   @scala.annotation.varargs
-  def call_function(funcName: String, cols: Column*): Column =
-    withExpr { UnresolvedFunction(funcName, cols.map(_.expr), false) }
+  def call_function(funcName: String, cols: Column*): Column = {
+    val parser = SparkSession.getActiveSession.map(_.sessionState.sqlParser).getOrElse {
+      new SparkSqlParser()
+    }
+    val nameParts = parser.parseMultipartIdentifier(funcName)
+    call_function(nameParts, cols: _*)
+  }
+
+  private def call_function(nameParts: Seq[String], cols: Column*): Column = withExpr {
+    UnresolvedFunction(nameParts, cols.map(_.expr), false)
+  }
 
   /**
    * Unwrap UDT data type column into its underlying type.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
index 9781a8e3ff4de..c7dcb575ff050 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
@@ -5918,6 +5918,26 @@ class DataFrameFunctionsSuite extends QueryTest with SharedSparkSession {
 
   test("call_function") {
     checkAnswer(testData2.select(call_function("avg", $"a")), testData2.selectExpr("avg(a)"))
+
+    withUserDefinedFunction("custom_func" -> true, "custom_sum" -> false) {
+      spark.udf.register("custom_func", (i: Int) => { i + 2 })
+      checkAnswer(
+        testData2.select(call_function("custom_func", $"a")),
+        Seq(Row(3), Row(3), Row(4), Row(4), Row(5), Row(5)))
+      spark.udf.register("default.custom_func", (i: Int) => { i + 2 })
+      checkAnswer(
+        testData2.select(call_function("`default.custom_func`", $"a")),
+        Seq(Row(3), Row(3), Row(4), Row(4), Row(5), Row(5)))
+
+      sql("CREATE FUNCTION custom_sum AS 'test.org.apache.spark.sql.MyDoubleSum'")
+      checkAnswer(
+        testData2.select(
+          call_function("custom_sum", $"a"),
+          call_function("default.custom_sum", $"a"),
+          call_function("spark_catalog.default.custom_sum", $"a")),
+        Row(12.0, 12.0, 12.0))
+    }
+
   }
 }
 
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
index ef430f4b6a2dd..d12ebae0f5fc7 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
@@ -37,7 +37,7 @@ import org.apache.spark.{SparkException, SparkFiles, TestUtils}
 import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
 import org.apache.spark.sql.catalyst.plans.logical.Project
 import org.apache.spark.sql.execution.WholeStageCodegenExec
-import org.apache.spark.sql.functions.max
+import org.apache.spark.sql.functions.{call_function, max}
 import org.apache.spark.sql.hive.test.TestHiveSingleton
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SQLTestUtils
@@ -552,6 +552,19 @@ class HiveUDFSuite extends QueryTest with TestHiveSingleton with SQLTestUtils {
     }
   }
 
+  test("Invoke a persist hive function with call_function") {
+    val testData = spark.range(5).repartition(1)
+    withUserDefinedFunction("custom_avg" -> false) {
+      sql(s"CREATE FUNCTION custom_avg AS '${classOf[GenericUDAFAverage].getName}'")
+      checkAnswer(
+        testData.select(
+          call_function("custom_avg", $"id"),
+          call_function("default.custom_avg", $"id"),
+          call_function("spark_catalog.default.custom_avg", $"id")),
+        Row(2.0, 2.0, 2.0))
+    }
+  }
+
   test("Temp function has dots in the names") {
     withUserDefinedFunction("test_avg" -> false, "`default.test_avg`" -> true) {
       sql(s"CREATE FUNCTION test_avg AS '${classOf[GenericUDAFAverage].getName}'")

From 462a447ca62a27a15d1e35b888e3923e5d2d012f Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 25 Jul 2023 09:39:19 +0800
Subject: [PATCH 055/986] [SPARK-44520][SQL] Replace the term
 UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY with
 UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY and disclosure root AE

### What changes were proposed in this pull request?

1. UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY is duplicated with UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY. This PR uses the shorter one.

2. Bugfix for hiding root AE from UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY

### Why are the changes needed?

UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY is duplicated.

Bugfix for hiding root AE from UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY

For example,

```scala
 select id from parquet.`abc`;

[UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY] Unsupported data source type for direct query on files: parquet; line 1 pos 15
org.apache.spark.sql.AnalysisException: [UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY] Unsupported data source type for direct query on files: parquet; line 1 pos 15
```

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

Closes #42124 from yaooqinn/SPARK-44520.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 2f7a9a1e26f46484a6bda4cf65f5119fdea3ba4c)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../src/main/resources/error/error-classes.json    |  5 -----
 docs/sql-error-conditions.md                       |  6 ------
 .../spark/sql/errors/QueryCompilationErrors.scala  |  6 ------
 .../spark/sql/execution/datasources/rules.scala    | 14 ++++++++------
 .../scala/org/apache/spark/sql/SQLQuerySuite.scala | 10 ++++------
 .../spark/sql/hive/execution/SQLQuerySuite.scala   | 11 +++++++++++
 6 files changed, 23 insertions(+), 29 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index d61b17216641f..ba3076fb931e2 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -2701,11 +2701,6 @@
     ],
     "sqlState" : "0A000"
   },
-  "UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY" : {
-    "message" : [
-      "The direct query on files does not support the data source type: <className>. Please try a different data source type or consider using a different query method."
-    ]
-  },
   "UNSUPPORTED_DATA_TYPE_FOR_DATASOURCE" : {
     "message" : [
       "The <format> datasource doesn't support the column <columnName> of the type <columnType>."
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 6dbbf7bf05cd2..8ce33062e2219 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -1886,12 +1886,6 @@ Unsupported data source type for direct query on files: `<dataSourceType>`
 
 Unsupported data type `<typeName>`.
 
-### UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY
-
-SQLSTATE: none assigned
-
-The direct query on files does not support the data source type: `<className>`. Please try a different data source type or consider using a different query method.
-
 ### UNSUPPORTED_DATA_TYPE_FOR_DATASOURCE
 
 SQLSTATE: none assigned
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 957c8cb334b8d..b2eee0dee9876 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -1688,12 +1688,6 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
         "tableSchema" -> tableSchema.toString))
   }
 
-  def unsupportedDataSourceTypeForDirectQueryOnFilesError(className: String): Throwable = {
-    new AnalysisException(
-      errorClass = "UNSUPPORTED_DATA_SOURCE_FOR_DIRECT_QUERY",
-      messageParameters = Map("className" -> className))
-  }
-
   def saveDataIntoViewNotAllowedError(): Throwable = {
     new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1158",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
index 3f235e10c8171..4cbd54e6d209c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
@@ -45,15 +45,17 @@ class ResolveSQLOnFile(sparkSession: SparkSession) extends Rule[LogicalPlan] {
     conf.runSQLonFile && u.multipartIdentifier.size == 2
   }
 
-  private def resolveDataSource(ident: Seq[String]): DataSource = {
+  private def resolveDataSource(unresolved: UnresolvedRelation): DataSource = {
+    val ident = unresolved.multipartIdentifier
     val dataSource = DataSource(sparkSession, paths = Seq(ident.last), className = ident.head)
     // `dataSource.providingClass` may throw ClassNotFoundException, the caller side will try-catch
     // it and return the original plan, so that the analyzer can report table not found later.
     val isFileFormat = classOf[FileFormat].isAssignableFrom(dataSource.providingClass)
     if (!isFileFormat ||
       dataSource.className.toLowerCase(Locale.ROOT) == DDLUtils.HIVE_PROVIDER) {
-      throw QueryCompilationErrors.unsupportedDataSourceTypeForDirectQueryOnFilesError(
-        dataSource.className)
+      unresolved.failAnalysis(
+        errorClass = "UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY",
+        messageParameters = Map("dataSourceType" -> ident.head))
     }
     dataSource
   }
@@ -65,7 +67,7 @@ class ResolveSQLOnFile(sparkSession: SparkSession) extends Rule[LogicalPlan] {
       // fail to time travel. Otherwise, this is some other catalog table that isn't resolved yet,
       // so we should leave it be for now.
       try {
-        resolveDataSource(u.multipartIdentifier)
+        resolveDataSource(u)
         throw QueryCompilationErrors.timeTravelUnsupportedError(toSQLId(u.multipartIdentifier))
       } catch {
         case _: ClassNotFoundException => r
@@ -73,11 +75,11 @@ class ResolveSQLOnFile(sparkSession: SparkSession) extends Rule[LogicalPlan] {
 
     case u: UnresolvedRelation if maybeSQLFile(u) =>
       try {
-        val ds = resolveDataSource(u.multipartIdentifier)
+        val ds = resolveDataSource(u)
         LogicalRelation(ds.resolveRelation())
       } catch {
         case _: ClassNotFoundException => u
-        case e: Exception =>
+        case e: Exception if !e.isInstanceOf[AnalysisException] =>
           // the provider is valid, but failed to create a logical plan
           u.failAnalysis(
             errorClass = "UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 7ad27f05a58f0..0e08fed12ba72 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -1647,18 +1647,16 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
       exception = intercept[AnalysisException] {
         sql("select * from json.invalid_file")
       },
-      errorClass = "UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY",
-      parameters = Map("dataSourceType" -> "json"),
-      context = ExpectedContext("json.invalid_file", 14, 30)
+      errorClass = "PATH_NOT_FOUND",
+      parameters = Map("path" -> "file:/.*invalid_file"),
+      matchPVals = true
     )
 
     checkError(
       exception = intercept[AnalysisException] {
         sql(s"select id from `org.apache.spark.sql.hive.orc`.`file_path`")
       },
-      errorClass = "UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY",
-      parameters = Map("dataSourceType" -> "org.apache.spark.sql.hive.orc"),
-      context = ExpectedContext("`org.apache.spark.sql.hive.orc`.`file_path`", 15, 57)
+      errorClass = "_LEGACY_ERROR_TEMP_1138"
     )
 
     e = intercept[AnalysisException] {
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
index e93576761c87e..9308d1eda146f 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
@@ -1354,6 +1354,17 @@ abstract class SQLQuerySuiteBase extends QueryTest with SQLTestUtils with TestHi
     })
   }
 
+  test("SPARK-44520: invalid path for support direct query shall throw correct exception") {
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql(s"select id from parquet.`invalid_path`")
+      },
+      errorClass = "PATH_NOT_FOUND",
+      parameters = Map("path" -> "file.*invalid_path"),
+      matchPVals = true
+    )
+  }
+
   test("run sql directly on files - orc") {
     val df = spark.range(100).toDF()
     withTempPath(f => {

From d569c2db833b2d63b8a29bd7af202ee788232fd1 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 25 Jul 2023 11:33:12 +0900
Subject: [PATCH 056/986] [SPARK-44509][PYTHON][CONNECT] Add job cancellation
 API set in Spark Connect Python client

### What changes were proposed in this pull request?

This PR proposes the Python implementations for https://github.com/apache/spark/pull/42009.

### Why are the changes needed?

For the feature parity, and better control of query cancelation in Spark Connect

### Does this PR introduce _any_ user-facing change?

Yes. New Apis in Spark Connect Python client:

```
SparkSession.addTag
SparkSession.removeTag
SparkSession.getTags
SparkSession.clearTags
SparkSession.interruptTag
SparkSession.interruptOperation
```

### How was this patch tested?

Unittests were added, and manually tested too.

Closes #42120 from HyukjinKwon/SPARK-44509.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5ee462d4cb60d4159abe36093f61ec0e5c749826)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/SparkSession.scala   |   6 +-
 .../sql/connect/service/ExecuteHolder.scala   |   6 +-
 .../reference/pyspark.sql/spark_session.rst   |   7 +
 python/pyspark/sql/connect/client/core.py     | 104 +++++++++++++--
 python/pyspark/sql/connect/session.py         |  43 +++++-
 python/pyspark/sql/session.py                 | 122 ++++++++++++++++++
 .../pyspark/sql/tests/connect/test_session.py | 111 +++++++++++++++-
 7 files changed, 377 insertions(+), 22 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 161b5a0217e70..5a0f33ffd5dc1 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -615,7 +615,7 @@ class SparkSession private[sql] (
    * Interrupt all operations of this session currently running on the connected server.
    *
    * @return
-   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   sequence of operationIds of interrupted operations. Note: there is still a possibility of
    *   operation finishing just as it is interrupted.
    *
    * @since 3.5.0
@@ -628,7 +628,7 @@ class SparkSession private[sql] (
    * Interrupt all operations of this session with the given operation tag.
    *
    * @return
-   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   sequence of operationIds of interrupted operations. Note: there is still a possibility of
    *   operation finishing just as it is interrupted.
    *
    * @since 3.5.0
@@ -641,7 +641,7 @@ class SparkSession private[sql] (
    * Interrupt an operation of this session with the given operationId.
    *
    * @return
-   *   sequence of operationIds of interrupted operations. Note: there is still a possiblility of
+   *   sequence of operationIds of interrupted operations. Note: there is still a possibility of
    *   operation finishing just as it is interrupted.
    *
    * @since 3.5.0
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 74530ad032f13..36c96b2617fb7 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -42,7 +42,7 @@ private[connect] class ExecuteHolder(
     s"SparkConnect_Execute_" +
       s"User_${sessionHolder.userId}_" +
       s"Session_${sessionHolder.sessionId}_" +
-      s"Request_${operationId}"
+      s"Operation_${operationId}"
 
   /**
    * Tags set by Spark Connect client users via SparkSession.addTag. Used to identify and group
@@ -118,7 +118,7 @@ private[connect] class ExecuteHolder(
    * need to be combined with userId and sessionId.
    */
   def tagToSparkJobTag(tag: String): String = {
-    "SparkConnect_Tag_" +
-      s"User_${sessionHolder.userId}_Session_${sessionHolder.sessionId}"
+    "SparkConnect_Execute_" +
+      s"User_${sessionHolder.userId}_Session_${sessionHolder.sessionId}_Tag_${tag}"
   }
 }
diff --git a/python/docs/source/reference/pyspark.sql/spark_session.rst b/python/docs/source/reference/pyspark.sql/spark_session.rst
index 9867a9cd1214d..a5f8bc47d447b 100644
--- a/python/docs/source/reference/pyspark.sql/spark_session.rst
+++ b/python/docs/source/reference/pyspark.sql/spark_session.rst
@@ -63,3 +63,10 @@ Spark Connect Only
     SparkSession.addArtifacts
     SparkSession.copyFromLocalToFs
     SparkSession.client
+    SparkSession.interruptAll
+    SparkSession.interruptTag
+    SparkSession.interruptOperation
+    SparkSession.addTag
+    SparkSession.removeTag
+    SparkSession.getTags
+    SparkSession.clearTags
diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 5623689212220..482482123c058 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -23,6 +23,7 @@
 
 check_dependencies(__name__)
 
+import threading
 import logging
 import os
 import platform
@@ -41,6 +42,7 @@
     List,
     Tuple,
     Dict,
+    Set,
     NoReturn,
     cast,
     Callable,
@@ -574,6 +576,8 @@ def __init__(
             the $USER environment. Defining the user ID as part of the connection string
             takes precedence.
         """
+        self.thread_local = threading.local()
+
         # Parse the connection string.
         self._builder = (
             connection
@@ -922,9 +926,11 @@ def token(self) -> Optional[str]:
         return self._builder._token
 
     def _execute_plan_request_with_metadata(self) -> pb2.ExecutePlanRequest:
-        req = pb2.ExecutePlanRequest()
-        req.session_id = self._session_id
-        req.client_type = self._builder.userAgent
+        req = pb2.ExecutePlanRequest(
+            session_id=self._session_id,
+            client_type=self._builder.userAgent,
+            tags=list(self.get_tags()),
+        )
         if self._user_id:
             req.user_context.user_id = self._user_id
         return req
@@ -1243,12 +1249,22 @@ def config(self, operation: pb2.ConfigRequest.Operation) -> ConfigResult:
         except Exception as error:
             self._handle_error(error)
 
-    def _interrupt_request(self, interrupt_type: str) -> pb2.InterruptRequest:
+    def _interrupt_request(
+        self, interrupt_type: str, id_or_tag: Optional[str] = None
+    ) -> pb2.InterruptRequest:
         req = pb2.InterruptRequest()
         req.session_id = self._session_id
         req.client_type = self._builder.userAgent
         if interrupt_type == "all":
             req.interrupt_type = pb2.InterruptRequest.InterruptType.INTERRUPT_TYPE_ALL
+        elif interrupt_type == "tag":
+            assert id_or_tag is not None
+            req.interrupt_type = pb2.InterruptRequest.InterruptType.INTERRUPT_TYPE_TAG
+            req.operation_tag = id_or_tag
+        elif interrupt_type == "operation":
+            assert id_or_tag is not None
+            req.interrupt_type = pb2.InterruptRequest.InterruptType.INTERRUPT_TYPE_OPERATION_ID
+            req.operation_id = id_or_tag
         else:
             raise PySparkValueError(
                 error_class="UNKNOWN_INTERRUPT_TYPE",
@@ -1260,14 +1276,7 @@ def _interrupt_request(self, interrupt_type: str) -> pb2.InterruptRequest:
             req.user_context.user_id = self._user_id
         return req
 
-    def interrupt_all(self) -> None:
-        """
-        Call the interrupt RPC of Spark Connect to interrupt all executions in this session.
-
-        Returns
-        -------
-        None
-        """
+    def interrupt_all(self) -> Optional[List[str]]:
         req = self._interrupt_request("all")
         try:
             for attempt in Retrying(
@@ -1280,11 +1289,80 @@ def interrupt_all(self) -> None:
                             "Received incorrect session identifier for request:"
                             f"{resp.session_id} != {self._session_id}"
                         )
-                    return
+                    return list(resp.interrupted_ids)
+            raise SparkConnectException("Invalid state during retry exception handling.")
+        except Exception as error:
+            self._handle_error(error)
+
+    def interrupt_tag(self, tag: str) -> Optional[List[str]]:
+        req = self._interrupt_request("tag", tag)
+        try:
+            for attempt in Retrying(
+                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+            ):
+                with attempt:
+                    resp = self._stub.Interrupt(req, metadata=self._builder.metadata())
+                    if resp.session_id != self._session_id:
+                        raise SparkConnectException(
+                            "Received incorrect session identifier for request:"
+                            f"{resp.session_id} != {self._session_id}"
+                        )
+                    return list(resp.interrupted_ids)
             raise SparkConnectException("Invalid state during retry exception handling.")
         except Exception as error:
             self._handle_error(error)
 
+    def interrupt_operation(self, op_id: str) -> Optional[List[str]]:
+        req = self._interrupt_request("operation", op_id)
+        try:
+            for attempt in Retrying(
+                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+            ):
+                with attempt:
+                    resp = self._stub.Interrupt(req, metadata=self._builder.metadata())
+                    if resp.session_id != self._session_id:
+                        raise SparkConnectException(
+                            "Received incorrect session identifier for request:"
+                            f"{resp.session_id} != {self._session_id}"
+                        )
+                    return list(resp.interrupted_ids)
+            raise SparkConnectException("Invalid state during retry exception handling.")
+        except Exception as error:
+            self._handle_error(error)
+
+    def add_tag(self, tag: str) -> None:
+        self._throw_if_invalid_tag(tag)
+        if not hasattr(self.thread_local, "tags"):
+            self.thread_local.tags = set()
+        self.thread_local.tags.add(tag)
+
+    def remove_tag(self, tag: str) -> None:
+        self._throw_if_invalid_tag(tag)
+        if not hasattr(self.thread_local, "tags"):
+            self.thread_local.tags = set()
+        self.thread_local.tags.remove(tag)
+
+    def get_tags(self) -> Set[str]:
+        if not hasattr(self.thread_local, "tags"):
+            self.thread_local.tags = set()
+        return self.thread_local.tags
+
+    def clear_tags(self) -> None:
+        self.thread_local.tags = set()
+
+    def _throw_if_invalid_tag(self, tag: str) -> None:
+        """
+        Validate if a tag for ExecutePlanRequest.tags is valid. Throw ``ValueError`` if
+        not.
+        """
+        spark_job_tags_sep = ","
+        if tag is None:
+            raise ValueError("Spark Connect tag cannot be null.")
+        if spark_job_tags_sep in tag:
+            raise ValueError(f"Spark Connect tag cannot contain '{spark_job_tags_sep}'.")
+        if len(tag) == 0:
+            raise ValueError("Spark Connect tag cannot be an empty string.")
+
     def _handle_error(self, error: Exception) -> NoReturn:
         """
         Handle errors that occur during RPC calls.
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index a49e4cdd0f4cd..8cd39ba7a7918 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -31,6 +31,7 @@
     Dict,
     List,
     Tuple,
+    Set,
     cast,
     overload,
     Iterable,
@@ -550,8 +551,46 @@ def __del__(self) -> None:
         except Exception:
             pass
 
-    def interrupt_all(self) -> None:
-        self.client.interrupt_all()
+    def interruptAll(self) -> List[str]:
+        op_ids = self.client.interrupt_all()
+        assert op_ids is not None
+        return op_ids
+
+    interruptAll.__doc__ = PySparkSession.interruptAll.__doc__
+
+    def interruptTag(self, tag: str) -> List[str]:
+        op_ids = self.client.interrupt_tag(tag)
+        assert op_ids is not None
+        return op_ids
+
+    interruptTag.__doc__ = PySparkSession.interruptTag.__doc__
+
+    def interruptOperation(self, op_id: str) -> List[str]:
+        op_ids = self.client.interrupt_operation(op_id)
+        assert op_ids is not None
+        return op_ids
+
+    interruptOperation.__doc__ = PySparkSession.interruptOperation.__doc__
+
+    def addTag(self, tag: str) -> None:
+        self.client.add_tag(tag)
+
+    addTag.__doc__ = PySparkSession.addTag.__doc__
+
+    def removeTag(self, tag: str) -> None:
+        self.client.remove_tag(tag)
+
+    removeTag.__doc__ = PySparkSession.removeTag.__doc__
+
+    def getTags(self) -> Set[str]:
+        return self.client.get_tags()
+
+    getTags.__doc__ = PySparkSession.getTags.__doc__
+
+    def clearTags(self) -> None:
+        return self.client.clear_tags()
+
+    clearTags.__doc__ = PySparkSession.clearTags.__doc__
 
     def stop(self) -> None:
         # Stopping the session will only close the connection to the current session (and
diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index 00a0047dfd15d..834b0307238ae 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -31,6 +31,7 @@
     Tuple,
     Type,
     Union,
+    Set,
     cast,
     no_type_check,
     overload,
@@ -1858,6 +1859,127 @@ def copyFromLocalToFs(self, local_path: str, dest_path: str) -> None:
             "however, the current Spark session does not use Spark Connect."
         )
 
+    def interruptAll(self) -> List[str]:
+        """
+        Interrupt all operations of this session currently running on the connected server.
+
+        .. versionadded:: 3.5.0
+
+        Returns
+        -------
+        list of str
+            List of operationIds of interrupted operations.
+
+        Notes
+        -----
+        There is still a possibility of operation finishing just as it is interrupted.
+        """
+        raise RuntimeError(
+            "SparkSession.interruptAll is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def interruptTag(self, tag: str) -> List[str]:
+        """
+        Interrupt all operations of this session with the given operation tag.
+
+        .. versionadded:: 3.5.0
+
+        Returns
+        -------
+        list of str
+            List of operationIds of interrupted operations.
+
+        Notes
+        -----
+        There is still a possibility of operation finishing just as it is interrupted.
+        """
+        raise RuntimeError(
+            "SparkSession.interruptTag is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def interruptOperation(self, op_id: str) -> List[str]:
+        """
+        Interrupt an operation of this session with the given operationId.
+
+        .. versionadded:: 3.5.0
+
+        Returns
+        -------
+        list of str
+            List of operationIds of interrupted operations.
+
+        Notes
+        -----
+        There is still a possibility of operation finishing just as it is interrupted.
+        """
+        raise RuntimeError(
+            "SparkSession.interruptOperation is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def addTag(self, tag: str) -> None:
+        """
+        Add a tag to be assigned to all the operations started by this thread in this session.
+
+        .. versionadded:: 3.5.0
+
+        Parameters
+        ----------
+        tag : list of str
+            The tag to be added. Cannot contain ',' (comma) character or be an empty string.
+        """
+        raise RuntimeError(
+            "SparkSession.addTag is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def removeTag(self, tag: str) -> None:
+        """
+        Remove a tag previously added to be assigned to all the operations started by this thread in
+        this session. Noop if such a tag was not added earlier.
+
+        .. versionadded:: 3.5.0
+
+        Parameters
+        ----------
+        tag : list of str
+            The tag to be removed. Cannot contain ',' (comma) character or be an empty string.
+        """
+        raise RuntimeError(
+            "SparkSession.removeTag is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def getTags(self) -> Set[str]:
+        """
+        Get the tags that are currently set to be assigned to all the operations started by this
+        thread.
+
+        .. versionadded:: 3.5.0
+
+        Returns
+        -------
+        set of str
+            Set of tags of interrupted operations.
+        """
+        raise RuntimeError(
+            "SparkSession.getTags is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
+    def clearTags(self) -> None:
+        """
+        Clear the current thread's operation tags.
+
+        .. versionadded:: 3.5.0
+        """
+        raise RuntimeError(
+            "SparkSession.clearTags is only supported with Spark Connect; "
+            "however, the current Spark session does not use Spark Connect."
+        )
+
 
 def _test() -> None:
     import os
diff --git a/python/pyspark/sql/tests/connect/test_session.py b/python/pyspark/sql/tests/connect/test_session.py
index 2f14eeddc1e48..0482f119d63bc 100644
--- a/python/pyspark/sql/tests/connect/test_session.py
+++ b/python/pyspark/sql/tests/connect/test_session.py
@@ -14,12 +14,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import threading
+import time
 import unittest
 from typing import Optional
 
 from pyspark.sql.connect.client import ChannelBuilder
 from pyspark.sql.connect.session import SparkSession as RemoteSparkSession
+from pyspark.testing.connectutils import should_test_connect
+
+if should_test_connect:
+    from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
 class CustomChannelBuilder(ChannelBuilder):
@@ -70,3 +75,107 @@ def test_session_create_sets_active_session(self):
 
         self.assertIs(session, session2)
         session.stop()
+
+
+class ArrowParityTests(ReusedConnectTestCase):
+    def test_tags(self):
+        self.spark.clearTags()
+        self.spark.addTag("a")
+        self.assertEqual(self.spark.getTags(), {"a"})
+        self.spark.addTag("b")
+        self.spark.removeTag("a")
+        self.assertEqual(self.spark.getTags(), {"b"})
+        self.spark.addTag("c")
+        self.spark.clearTags()
+        self.assertEqual(self.spark.getTags(), set())
+        self.spark.clearTags()
+
+    def test_interrupt_tag(self):
+        thread_ids = range(4)
+        self.check_job_cancellation(
+            lambda job_group: self.spark.addTag(job_group),
+            lambda job_group: self.spark.interruptTag(job_group),
+            thread_ids,
+            [i for i in thread_ids if i % 2 == 0],
+            [i for i in thread_ids if i % 2 != 0],
+        )
+        self.spark.clearTags()
+
+    def test_interrupt_all(self):
+        thread_ids = range(4)
+        self.check_job_cancellation(
+            lambda job_group: None,
+            lambda job_group: self.spark.interruptAll(),
+            thread_ids,
+            thread_ids,
+            [],
+        )
+        self.spark.clearTags()
+
+    def check_job_cancellation(
+        self, setter, canceller, thread_ids, thread_ids_to_cancel, thread_ids_to_run
+    ):
+
+        job_id_a = "job_ids_to_cancel"
+        job_id_b = "job_ids_to_run"
+        threads = []
+
+        # A list which records whether job is cancelled.
+        # The index of the array is the thread index which job run in.
+        is_job_cancelled = [False for _ in thread_ids]
+
+        def run_job(job_id, index):
+            """
+            Executes a job with the group ``job_group``. Each job waits for 3 seconds
+            and then exits.
+            """
+            try:
+                setter(job_id)
+
+                def func(itr):
+                    for pdf in itr:
+                        time.sleep(pdf._1.iloc[0])
+                        yield pdf
+
+                self.spark.createDataFrame([[20]]).repartition(1).mapInPandas(
+                    func, schema="_1 LONG"
+                ).collect()
+                is_job_cancelled[index] = False
+            except Exception:
+                # Assume that exception means job cancellation.
+                is_job_cancelled[index] = True
+
+        # Test if job succeeded when not cancelled.
+        run_job(job_id_a, 0)
+        self.assertFalse(is_job_cancelled[0])
+        self.spark.clearTags()
+
+        # Run jobs
+        for i in thread_ids_to_cancel:
+            t = threading.Thread(target=run_job, args=(job_id_a, i))
+            t.start()
+            threads.append(t)
+
+        for i in thread_ids_to_run:
+            t = threading.Thread(target=run_job, args=(job_id_b, i))
+            t.start()
+            threads.append(t)
+
+        # Wait to make sure all jobs are executed.
+        time.sleep(10)
+        # And then, cancel one job group.
+        canceller(job_id_a)
+
+        # Wait until all threads launching jobs are finished.
+        for t in threads:
+            t.join()
+
+        for i in thread_ids_to_cancel:
+            self.assertTrue(
+                is_job_cancelled[i], "Thread {i}: Job in group A was not cancelled.".format(i=i)
+            )
+
+        for i in thread_ids_to_run:
+            self.assertFalse(
+                is_job_cancelled[i], "Thread {i}: Job in group B did not succeeded.".format(i=i)
+            )

From 19acdc906cadd82d9d21a1e798aba773bfe383c3 Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Tue, 25 Jul 2023 10:45:32 +0800
Subject: [PATCH 057/986] [SPARK-44466][SQL] Exclude configs starting with
 `SPARK_DRIVER_PREFIX` and `SPARK_EXECUTOR_PREFIX` from modifiedConfigs

### What changes were proposed in this pull request?

This PR excludes configs starting with `SPARK_DRIVER_PREFIX` and `SPARK_EXECUTOR_PREFIX` from modifiedConfigs.

### Why are the changes needed?

To make `SQL / DataFrame Properties` excluding these properties because some configs [might supplemented](https://github.com/apache/spark/blob/caa3df48d94ff2e7c824a87acf51ab4978e18098/core/src/main/scala/org/apache/spark/SparkContext.scala#L422-L423):
<img width="1640" alt="image" src="https://github.com/apache/spark/assets/5399861/9c1ad853-5883-4c66-8a32-573604ebb7ea">

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit test.

Closes #42049 from wangyum/SPARK-44466.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit 7f730f65b65f4bed8edcf466f7599385ec8d408f)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 .../org/apache/spark/sql/execution/SQLExecution.scala      | 7 ++++++-
 .../org/apache/spark/sql/execution/SQLExecutionSuite.scala | 3 +++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
index 68b29e9e216f5..7c157a749965e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
@@ -21,6 +21,7 @@ import java.util.concurrent.{ConcurrentHashMap, ExecutorService, Future => JFutu
 import java.util.concurrent.atomic.AtomicLong
 
 import org.apache.spark.{ErrorMessageFormat, SparkContext, SparkThrowable, SparkThrowableHelper}
+import org.apache.spark.internal.config.{SPARK_DRIVER_PREFIX, SPARK_EXECUTOR_PREFIX}
 import org.apache.spark.internal.config.Tests.IS_TESTING
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.execution.ui.{SparkListenerSQLExecutionEnd, SparkListenerSQLExecutionStart}
@@ -97,7 +98,11 @@ object SQLExecution {
 
       val globalConfigs = sparkSession.sharedState.conf.getAll.toMap
       val modifiedConfigs = sparkSession.sessionState.conf.getAllConfs
-        .filterNot(kv => globalConfigs.get(kv._1).contains(kv._2))
+        .filterNot { case (key, value) =>
+          key.startsWith(SPARK_DRIVER_PREFIX) ||
+            key.startsWith(SPARK_EXECUTOR_PREFIX) ||
+            globalConfigs.get(key).contains(value)
+        }
       val redactedConfigs = sparkSession.sessionState.conf.redactOptions(modifiedConfigs)
 
       withSQLConfPropagated(sparkSession) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
index 740c10f17b263..1a062d8d4e257 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
@@ -26,6 +26,7 @@ import scala.concurrent.{ExecutionContext, Future}
 import scala.concurrent.duration._
 
 import org.apache.spark.{SparkConf, SparkContext, SparkFunSuite}
+import org.apache.spark.launcher.SparkLauncher
 import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
 import org.apache.spark.sql.{Row, SparkSession}
 import org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart
@@ -167,6 +168,7 @@ class SQLExecutionSuite extends SparkFunSuite {
       .master("local[*]")
       .appName("test")
       .config("k1", "v1")
+      .config(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, "-Dkey=value")
       .getOrCreate()
 
     try {
@@ -182,6 +184,7 @@ class SQLExecutionSuite extends SparkFunSuite {
               assert(start.modifiedConfigs("k2") == "v2")
               assert(start.modifiedConfigs.contains("redaction.password"))
               assert(start.modifiedConfigs("redaction.password") == REDACTION_REPLACEMENT_TEXT)
+              assert(!start.modifiedConfigs.contains(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS))
               index.incrementAndGet()
             }
           case _ =>

From f67b23535eff84b83357333c55ff69ae706192a0 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Tue, 25 Jul 2023 12:03:36 +0900
Subject: [PATCH 058/986] [SPARK-43964][PYTHON][TESTS][FOLLOWUP] Skip a test
 using pandas when pandas is not available

### What changes were proposed in this pull request?

This is a follow-up of apache/spark#41867.

Skips a test using pandas when pandas is not available.

### Why are the changes needed?

There is a test using pandas, but there is a case where pandas is not available.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually.

Closes #42131 from ueshin/issues/SPARK-43964/skip.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit b930f7a1e8145a4f22ee047cee24e9a5f94d72ba)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_udtf.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 2c76d2f7e152e..bb84b9d836aea 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -466,6 +466,7 @@ def eval(self, x: int):
 
         self.assertEqual(TestUDTF(lit(1)).collect(), [Row(x={1: "1"})])
 
+    @unittest.skipIf(not have_pandas, pandas_requirement_message)
     def test_udtf_with_pandas_input_type(self):
         import pandas as pd
 

From c0d1a3c05abf967ad3a9d7d1448a0da4478db9ce Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Tue, 25 Jul 2023 00:12:31 -0700
Subject: [PATCH 059/986] [SPARK-44534][K8S] Handle only shuffle files in
 KubernetesLocalDiskShuffleExecutorComponents

### What changes were proposed in this pull request?

This PR aims to prevent any future regressions due to new block types by checking `isShuffle` explicitly before invoking `BlockManager.TempFileBasedBlockStoreUpdater` in `KubernetesLocalDiskShuffleExecutorComponents`. `isShuffle` allows only 4 block types currently.

https://github.com/apache/spark/blob/58e5d86cc076d4546dac5e1f594977d615ec1e7a/core/src/main/scala/org/apache/spark/storage/BlockId.scala#L43-L46

### Why are the changes needed?

We want to protect the logic from non-shuffle blocks and new future type blocks.

```
$ k logs group-by-test-exec-6 | grep 'Try to recover'
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover shuffle data.
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/11/broadcast_0_piece0
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/11/shuffle_0_3136_0.data
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/11/shuffle_0_3312_0.data
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/11/shuffle_0_3402_0.data
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/11/shuffle_0_3752_0.data
23/07/24 22:59:45 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover
/data/spark-1/executor-x/blockmgr-716520a6-2a94-4418-8a23-d56fd9f4191b/0e/broadcast_0
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs with the newly added test case.

Closes #42138 from dongjoon-hyun/SPARK-44534.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit b7d10505e524e346420baecdf8a2f2dc7b884e12)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 ...ernetesLocalDiskShuffleExecutorComponents.scala |  9 +++++++--
 .../KubernetesLocalDiskShuffleDataIOSuite.scala    | 14 ++++++++++++++
 2 files changed, 21 insertions(+), 2 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
index 8f0729067b9c3..e553a56b7e121 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleExecutorComponents.scala
@@ -98,8 +98,13 @@ object KubernetesLocalDiskShuffleExecutorComponents extends Logging {
       logInfo(s"Try to recover ${f.getAbsolutePath}")
       try {
         val id = BlockId(f.getName)
-        val decryptedSize = f.length()
-        bm.TempFileBasedBlockStoreUpdater(id, level, classTag, f, decryptedSize).save()
+        // To make it sure to handle only shuffle blocks
+        if (id.isShuffle) {
+          val decryptedSize = f.length()
+          bm.TempFileBasedBlockStoreUpdater(id, level, classTag, f, decryptedSize).save()
+        } else {
+          logInfo("Ignore a non-shuffle block file.")
+        }
       } catch {
         case _: UnrecognizedBlockId =>
           logInfo("Skip due to UnrecognizedBlockId.")
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
index d105ac0417182..663be35ce0c94 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/shuffle/KubernetesLocalDiskShuffleDataIOSuite.scala
@@ -238,4 +238,18 @@ class KubernetesLocalDiskShuffleDataIOSuite extends SparkFunSuite with LocalRoot
     when(bm.TempFileBasedBlockStoreUpdater).thenAnswer(_ => throw new Exception())
     KubernetesLocalDiskShuffleExecutorComponents.recoverDiskStore(sparkConf, bm)
   }
+
+  test("SPARK-44534: Handle only shuffle files") {
+    val sparkConf = conf.clone.set("spark.local.dir",
+      conf.get("spark.local.dir") + "/spark-x/executor-y")
+    val dir = sparkConf.get("spark.local.dir") + "/blockmgr-z/00"
+    Files.createDirectories(new File(dir).toPath())
+    Seq("broadcast_0", "broadcast_0_piece0", "temp_shuffle_uuid").foreach { f =>
+      new File(dir, f).createNewFile()
+    }
+
+    val bm = mock(classOf[BlockManager])
+    when(bm.TempFileBasedBlockStoreUpdater).thenAnswer(_ => throw new Exception())
+    KubernetesLocalDiskShuffleExecutorComponents.recoverDiskStore(sparkConf, bm)
+  }
 }

From 12a0d91eaaa8c8ac2ab25fa8f711450d8884fbcf Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 25 Jul 2023 18:40:02 +0800
Subject: [PATCH 060/986] [SPARK-44540][UI] Remove unused stylesheet and
 javascript files of jsonFormatter

### What changes were proposed in this pull request?

This PR safely removes unused stylesheet and javascript files of `jsonFormatter`

### Why are the changes needed?

Simplify css/js dependencies for UI

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

built and verified locally with UI

Closes #42145 from yaooqinn/SPARK-44540.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 304d6ac0564b2e3a5a27d6f5fab8b5bc66c900c9)
Signed-off-by: Kent Yao <yao@apache.org>
---
 LICENSE                                                        | 1 -
 LICENSE-binary                                                 | 1 -
 .../resources/org/apache/spark/ui/static/jsonFormatter.min.css | 1 -
 .../resources/org/apache/spark/ui/static/jsonFormatter.min.js  | 1 -
 core/src/main/scala/org/apache/spark/ui/UIUtils.scala          | 3 ---
 dev/.rat-excludes                                              | 2 --
 6 files changed, 9 deletions(-)
 delete mode 100755 core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.css
 delete mode 100755 core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.js

diff --git a/LICENSE b/LICENSE
index 012fdbca4c90d..1735d3208f2e2 100644
--- a/LICENSE
+++ b/LICENSE
@@ -213,7 +213,6 @@ Apache Software Foundation License 2.0
 common/network-common/src/main/java/org/apache/spark/network/util/LimitedInputStream.java
 core/src/main/java/org/apache/spark/util/collection/TimSort.java
 core/src/main/resources/org/apache/spark/ui/static/bootstrap*
-core/src/main/resources/org/apache/spark/ui/static/jsonFormatter*
 core/src/main/resources/org/apache/spark/ui/static/vis*
 docs/js/vendor/bootstrap.js
 connector/spark-ganglia-lgpl/src/main/java/com/codahale/metrics/ganglia/GangliaReporter.java
diff --git a/LICENSE-binary b/LICENSE-binary
index 9472d28e509ac..05645977a0ba5 100644
--- a/LICENSE-binary
+++ b/LICENSE-binary
@@ -412,7 +412,6 @@ com.google.cloud.bigdataoss:gcs-connector
 
 core/src/main/java/org/apache/spark/util/collection/TimSort.java
 core/src/main/resources/org/apache/spark/ui/static/bootstrap*
-core/src/main/resources/org/apache/spark/ui/static/jsonFormatter*
 core/src/main/resources/org/apache/spark/ui/static/vis*
 docs/js/vendor/bootstrap.js
 
diff --git a/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.css b/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.css
deleted file mode 100755
index 37761dbbe74b9..0000000000000
--- a/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.css
+++ /dev/null
@@ -1 +0,0 @@
-PRE.jsonFormatter-codeContainer{margin-top:0;margin-bottom:0}PRE.jsonFormatter-codeContainer .jsonFormatter-objectBrace{color:#0a0;font-weight:bold}PRE.jsonFormatter-codeContainer .jsonFormatter-arrayBrace{color:#03f;font-weight:bold}PRE.jsonFormatter-codeContainer .jsonFormatter-propertyName{color:#c00;font-weight:bold}PRE.jsonFormatter-codeContainer .jsonFormatter-string{color:#077}PRE.jsonFormatter-codeContainer .jsonFormatter-number{color:#a0a}PRE.jsonFormatter-codeContainer .jsonFormatter-boolean{color:#00f}PRE.jsonFormatter-codeContainer .jsonFormatter-function{color:#a63;font-style:italic}PRE.jsonFormatter-codeContainer .jsonFormatter-null{color:#00f}PRE.jsonFormatter-codeContainer .jsonFormatter-coma{color:#000;font-weight:bold}PRE.jsonFormatter-codeContainer .jsonFormatter-expander{display:inline-block;width:28px;height:11px;cursor:pointer}PRE.jsonFormatter-codeContainer .jsonFormatter-expanded{background:url('data:image/gif;base64,R0lGODlhHAALAMQAAP////7++/z8/Pb29fb18PHx7e/w6/Hw6e3s5unp4+Dg3t3a0djY0dnVy9fTxNbQxtLMv8zJurDC1L+9sMK4p32buAAAAP///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAEHABcALAAAAAAcAAsAAAVL4CWOZGmel1StbCWhsFgBdA1UMVwJQd8TuNypMigWD4qgsFQhWJ7PhXI5qhQKCERC0ZhSLxUFo+FwQCJeagUyobjd6aWqtXp979QQADs=') /*Expanded.gif*/ no-repeat}PRE.jsonFormatter-codeContainer .jsonFormatter-collapsed{background:url('data:image/gif;base64,R0lGODlhHAALAMQAAP////7++/z8/Pb29fb18PHx7e/w6/Hw6e3s5unp4+jm2ODg3t3a0dnVy9bQxtLMv8zJurDC1L+9sMK4p32buDMzMwAAAP///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAEHABcALAAAAAAcAAsAAAVU4CWOZGmeV0StLBWhsEgBdA1QMUwJvMUTuNyJMihaBodFUFiiECxQKGMpqlSq14uVRCkUEJbEokHVZrdmrqLRsDgekDLzQoFIJni8nKlqrV5zgYIhADs=') /*Collapsed.gif*/ no-repeat}
\ No newline at end of file
diff --git a/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.js b/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.js
deleted file mode 100755
index aa86fa2a0c327..0000000000000
--- a/core/src/main/resources/org/apache/spark/ui/static/jsonFormatter.min.js
+++ /dev/null
@@ -1 +0,0 @@
-(function($){$.fn.jsonFormatter=function(n){var _settings,u=new Date,r=new RegExp,i=function(n,t,i){for(var r="",u=0;u<n&&!i;u++)r+=_settings.tab;return t!=null&&t.length>0&&t.charAt(t.length-1)!="\n"&&(t=t+"\n"),r+t},f=function(n,t){for(var r,u,f="",i=0;i<n;i++)f+=_settings.tab;for(r=t.toString().split("\n"),u="",i=0;i<r.length;i++)u+=(i==0?"":f)+r[i]+"\n";return u},t=function(n,t,r,u,f,e){typeof n=="string"&&(n=n.split("<").join("&lt;").split(">").join("&gt;"));var o="<span class='"+e+"'>"+t+n+t+r+"<\/span>";return f&&(o=i(u,o)),o},_processObject=function(n,e,o,s,h){var c="",l=o?"<span class='jsonFormatter-coma'>,<\/span> ":"",v=typeof n,a="",y,p,k,w,b;if($.isArray(n))if(n.length==0)c+=i(e,"<span class='jsonFormatter-arrayBrace'>[ ]<\/span>"+l,h);else{for(a=_settings.collapsible?"<span class='jsonFormatter-expander jsonFormatter-expanded'><\/span><span class='jsonFormatter-collapsible'>":"",c+=i(e,"<span class='jsonFormatter-arrayBrace'>[<\/span>"+a,h),y=0;y<n.length;y++)c+=_processObject(n[y],e+1,y<n.length-1,!0,!1);a=_settings.collapsible?"<\/span>":"";c+=i(e,a+"<span class='jsonFormatter-arrayBrace'>]<\/span>"+l)}else if(v=="object")if(n==null)c+=t("null","",l,e,s,"jsonFormatter-null");else if(n.constructor==u.constructor)c+=t("new Date("+n.getTime()+") /*"+n.toLocaleString()+"*/","",l,e,s,"Date");else if(n.constructor==r.constructor)c+=t("new RegExp("+n+")","",l,e,s,"RegExp");else{p=0;for(w in n)p++;if(p==0)c+=i(e,"<span class='jsonFormatter-objectBrace'>{ }<\/span>"+l,h);else{a=_settings.collapsible?"<span class='jsonFormatter-expander jsonFormatter-expanded'><\/span><span class='jsonFormatter-collapsible'>":"";c+=i(e,"<span class='jsonFormatter-objectBrace'>{<\/span>"+a,h);k=0;for(w in n)b=_settings.quoteKeys?'"':"",c+=i(e+1,"<span class='jsonFormatter-propertyName'>"+b+w+b+"<\/span>: "+_processObject(n[w],e+1,++k<p,!1,!0));a=_settings.collapsible?"<\/span>":"";c+=i(e,a+"<span class='jsonFormatter-objectBrace'>}<\/span>"+l)}}else v=="number"?c+=t(n,"",l,e,s,"jsonFormatter-number"):v=="boolean"?c+=t(n,"",l,e,s,"jsonFormatter-boolean"):v=="function"?n.constructor==r.constructor?c+=t("new RegExp("+n+")","",l,e,s,"RegExp"):(n=f(e,n),c+=t(n,"",l,e,s,"jsonFormatter-function")):c+=v=="undefined"?t("undefined","",l,e,s,"jsonFormatter-null"):t(n.toString().split("\\").join("\\\\").split('"').join('\\"'),'"',l,e,s,"jsonFormatter-string");return c},e=function(element){var json=$(element).html(),obj,original;json.trim()==""&&(json='""');try{obj=eval("["+json+"]")}catch(exception){return}html=_processObject(obj[0],0,!1,!1,!1);original=$(element).wrapInner("<div class='jsonFormatter-original'><\/div>");_settings.hideOriginal===!0&&$(".jsonFormatter-original",original).hide();original.append("<PRE class='jsonFormatter-codeContainer'>"+html+"<\/PRE>")},o=function(){var n=$(this).next();n.length<1||($(this).hasClass("jsonFormatter-expanded")==!0?(n.hide(),$(this).removeClass("jsonFormatter-expanded").addClass("jsonFormatter-collapsed")):(n.show(),$(this).removeClass("jsonFormatter-collapsed").addClass("jsonFormatter-expanded")))};return _settings=$.extend({tab:"  ",quoteKeys:!0,collapsible:!0,hideOriginal:!0},n),this.each(function(n,t){e(t);$(t).on("click",".jsonFormatter-expander",o)})}})(jQuery);
diff --git a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index 2921e5b01e0f9..286c0a1625150 100644
--- a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -258,15 +258,12 @@ private[spark] object UIUtils extends Logging {
     <link rel="stylesheet"
           href={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.5.min.css")}
           type="text/css"/>
-    <link rel="stylesheet"
-          href={prependBaseUri(request, "/static/jsonFormatter.min.css")} type="text/css"/>
     <link rel="stylesheet"
           href={prependBaseUri(request, "/static/webui-dataTables.css")} type="text/css"/>
     <script src={prependBaseUri(request, "/static/jquery.dataTables.1.13.5.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.cookies.2.2.0.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.blockUI.min.js")}></script>
     <script src={prependBaseUri(request, "/static/dataTables.bootstrap4.1.13.5.min.js")}></script>
-    <script src={prependBaseUri(request, "/static/jsonFormatter.min.js")}></script>
     <script src={prependBaseUri(request, "/static/jquery.mustache.js")}></script>
   }
 
diff --git a/dev/.rat-excludes b/dev/.rat-excludes
index 4bd41fac11eee..16e0e3e30c9e5 100644
--- a/dev/.rat-excludes
+++ b/dev/.rat-excludes
@@ -42,8 +42,6 @@ jquery.blockUI.min.js
 jquery.cookies.2.2.0.min.js
 jquery.dataTables.*.min.js
 jquery.mustache.js
-jsonFormatter.min.css
-jsonFormatter.min.js
 .*\.avsc
 .*\.txt
 .*\.json

From 766428f814a65ee6be7033096445dd5656dbc9be Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 25 Jul 2023 20:51:27 -0400
Subject: [PATCH 061/986] [SPARK-44530][CORE][CONNECT] Move SparkBuildInfo to
 common/util

### What changes were proposed in this pull request?
This PR moves `SparkBuildInfo` and the code that generates its properties to `common/util`.

### Why are the changes needed?
We need `SparkBuildInfo` in the connect scala client and we are removing connect's dependency on `core`.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests.

Closes #42133 from hvanhovell/SPARK-44530.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 35187995bf9eaaa57fd29b714a304355c3049c39)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 common/utils/pom.xml                          | 62 +++++++++++++++++
 .../org/apache/spark/SparkBuildInfo.scala     | 65 ++++++++++++++++++
 core/pom.xml                                  | 62 -----------------
 .../main/scala/org/apache/spark/package.scala | 66 +++----------------
 project/SparkBuild.scala                      | 39 ++++++-----
 5 files changed, 158 insertions(+), 136 deletions(-)
 create mode 100644 common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala

diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 36cfceed931e0..46ce3ced6abf1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -84,7 +84,69 @@
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
     <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
+    <resources>
+      <resource>
+        <directory>${project.basedir}/src/main/resources</directory>
+      </resource>
+      <resource>
+        <!-- Include the properties file to provide the build information. -->
+        <directory>${project.build.directory}/extra-resources</directory>
+        <filtering>true</filtering>
+      </resource>
+    </resources>
     <plugins>
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-antrun-plugin</artifactId>
+        <executions>
+          <execution>
+            <id>choose-shell-and-script</id>
+            <phase>validate</phase>
+            <goals>
+              <goal>run</goal>
+            </goals>
+            <configuration>
+              <exportAntProperties>true</exportAntProperties>
+              <target>
+                <condition property="shell" value="powershell.exe" else="bash">
+                  <and>
+                    <os family="windows"/>
+                  </and>
+                </condition>
+                <condition property="spark-build-info-script" value="spark-build-info.ps1"
+                           else="spark-build-info">
+                  <and>
+                    <os family="windows"/>
+                  </and>
+                </condition>
+                <echo>Shell to use for generating spark-version-info.properties file =
+                  ${shell}
+                </echo>
+                <echo>Script to use for generating spark-version-info.properties file =
+                  ${spark-build-info-script}
+                </echo>
+              </target>
+            </configuration>
+          </execution>
+          <execution>
+            <id>generate-spark-build-info</id>
+            <phase>generate-resources</phase>
+            <configuration>
+              <!-- Execute the shell script to generate the spark build information. -->
+              <target>
+                <exec executable="${shell}">
+                  <arg value="${project.basedir}/../../build/${spark-build-info-script}"/>
+                  <arg value="${project.build.directory}/extra-resources"/>
+                  <arg value="${project.version}"/>
+                </exec>
+              </target>
+            </configuration>
+            <goals>
+              <goal>run</goal>
+            </goals>
+          </execution>
+        </executions>
+      </plugin>
     </plugins>
   </build>
 </project>
diff --git a/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala b/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala
new file mode 100644
index 0000000000000..23f671f9d7647
--- /dev/null
+++ b/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark
+
+import java.util.Properties
+
+object SparkBuildInfo {
+
+  val (
+    spark_version: String,
+    spark_branch: String,
+    spark_revision: String,
+    spark_build_user: String,
+    spark_repo_url: String,
+    spark_build_date: String,
+    spark_doc_root: String) = {
+
+    val resourceStream = Thread.currentThread().getContextClassLoader.
+      getResourceAsStream("spark-version-info.properties")
+    if (resourceStream == null) {
+      throw new SparkException("Could not find spark-version-info.properties")
+    }
+
+    try {
+      val unknownProp = "<unknown>"
+      val props = new Properties()
+      props.load(resourceStream)
+      (
+        props.getProperty("version", unknownProp),
+        props.getProperty("branch", unknownProp),
+        props.getProperty("revision", unknownProp),
+        props.getProperty("user", unknownProp),
+        props.getProperty("url", unknownProp),
+        props.getProperty("date", unknownProp),
+        props.getProperty("docroot", unknownProp)
+      )
+    } catch {
+      case e: Exception =>
+        throw new SparkException("Error loading properties from spark-version-info.properties", e)
+    } finally {
+      if (resourceStream != null) {
+        try {
+          resourceStream.close()
+        } catch {
+          case e: Exception =>
+            throw new SparkException("Error closing spark build info resource stream", e)
+        }
+      }
+    }
+  }
+}
diff --git a/core/pom.xml b/core/pom.xml
index 6519b46d96e31..df20e030eb9c0 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -513,69 +513,7 @@
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
     <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
-    <resources>
-      <resource>
-        <directory>${project.basedir}/src/main/resources</directory>
-      </resource>
-      <resource>
-        <!-- Include the properties file to provide the build information. -->
-        <directory>${project.build.directory}/extra-resources</directory>
-        <filtering>true</filtering>
-      </resource>
-    </resources>
     <plugins>
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-antrun-plugin</artifactId>
-        <executions>
-          <execution>
-            <id>choose-shell-and-script</id>
-            <phase>validate</phase>
-            <goals>
-              <goal>run</goal>
-            </goals>
-            <configuration>
-              <exportAntProperties>true</exportAntProperties>
-              <target>
-                <condition property="shell" value="powershell.exe" else="bash">
-                  <and>
-                    <os family="windows"/>
-                  </and>
-                </condition>
-                <condition property="spark-build-info-script" value="spark-build-info.ps1"
-                           else="spark-build-info">
-                  <and>
-                    <os family="windows"/>
-                  </and>
-                </condition>
-                <echo>Shell to use for generating spark-version-info.properties file =
-                  ${shell}
-                </echo>
-                <echo>Script to use for generating spark-version-info.properties file =
-                  ${spark-build-info-script}
-                </echo>
-              </target>
-            </configuration>
-          </execution>
-          <execution>
-            <id>generate-spark-build-info</id>
-            <phase>generate-resources</phase>
-            <configuration>
-              <!-- Execute the shell script to generate the spark build information. -->
-              <target>
-                <exec executable="${shell}">
-                  <arg value="${project.basedir}/../build/${spark-build-info-script}"/>
-                  <arg value="${project.build.directory}/extra-resources"/>
-                  <arg value="${project.version}"/>
-                </exec>
-              </target>
-            </configuration>
-            <goals>
-              <goal>run</goal>
-            </goals>
-          </execution>
-        </executions>
-      </plugin>
       <plugin>
         <groupId>org.apache.maven.plugins</groupId>
         <artifactId>maven-dependency-plugin</artifactId>
diff --git a/core/src/main/scala/org/apache/spark/package.scala b/core/src/main/scala/org/apache/spark/package.scala
index 92cab14294f21..5b512fbcda8ba 100644
--- a/core/src/main/scala/org/apache/spark/package.scala
+++ b/core/src/main/scala/org/apache/spark/package.scala
@@ -17,8 +17,6 @@
 
 package org.apache
 
-import java.util.Properties
-
 import org.apache.spark.util.VersionUtils
 
 /**
@@ -45,60 +43,12 @@ import org.apache.spark.util.VersionUtils
  * level interfaces. These are subject to changes or removal in minor releases.
  */
 package object spark {
-
-  private object SparkBuildInfo {
-
-    val (
-        spark_version: String,
-        spark_branch: String,
-        spark_revision: String,
-        spark_build_user: String,
-        spark_repo_url: String,
-        spark_build_date: String,
-        spark_doc_root: String) = {
-
-      val resourceStream = Thread.currentThread().getContextClassLoader.
-        getResourceAsStream("spark-version-info.properties")
-      if (resourceStream == null) {
-        throw new SparkException("Could not find spark-version-info.properties")
-      }
-
-      try {
-        val unknownProp = "<unknown>"
-        val props = new Properties()
-        props.load(resourceStream)
-        (
-          props.getProperty("version", unknownProp),
-          props.getProperty("branch", unknownProp),
-          props.getProperty("revision", unknownProp),
-          props.getProperty("user", unknownProp),
-          props.getProperty("url", unknownProp),
-          props.getProperty("date", unknownProp),
-          props.getProperty("docroot", unknownProp)
-        )
-      } catch {
-        case e: Exception =>
-          throw new SparkException("Error loading properties from spark-version-info.properties", e)
-      } finally {
-        if (resourceStream != null) {
-          try {
-            resourceStream.close()
-          } catch {
-            case e: Exception =>
-              throw new SparkException("Error closing spark build info resource stream", e)
-          }
-        }
-      }
-    }
-  }
-
-  val SPARK_VERSION = SparkBuildInfo.spark_version
-  val SPARK_VERSION_SHORT = VersionUtils.shortVersion(SparkBuildInfo.spark_version)
-  val SPARK_BRANCH = SparkBuildInfo.spark_branch
-  val SPARK_REVISION = SparkBuildInfo.spark_revision
-  val SPARK_BUILD_USER = SparkBuildInfo.spark_build_user
-  val SPARK_REPO_URL = SparkBuildInfo.spark_repo_url
-  val SPARK_BUILD_DATE = SparkBuildInfo.spark_build_date
-  val SPARK_DOC_ROOT = SparkBuildInfo.spark_doc_root
+  val SPARK_VERSION: String = SparkBuildInfo.spark_version
+  val SPARK_VERSION_SHORT: String = VersionUtils.shortVersion(SparkBuildInfo.spark_version)
+  val SPARK_BRANCH: String = SparkBuildInfo.spark_branch
+  val SPARK_REVISION: String = SparkBuildInfo.spark_revision
+  val SPARK_BUILD_USER: String = SparkBuildInfo.spark_build_user
+  val SPARK_REPO_URL: String = SparkBuildInfo.spark_repo_url
+  val SPARK_BUILD_DATE: String = SparkBuildInfo.spark_build_date
+  val SPARK_DOC_ROOT: String = SparkBuildInfo.spark_doc_root
 }
-
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index cc27686b6b335..e585d5dd2b25c 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -425,6 +425,8 @@ object SparkBuild extends PomBuild {
   }
 
   /* Generate and pick the spark build info from extra-resources */
+  enable(CommonUtils.settings)(commonUtils)
+
   enable(Core.settings)(core)
 
   /* Unsafe settings */
@@ -626,27 +628,13 @@ object SparkParallelTestGrouping {
   )
 }
 
-object Core {
+object CommonUtils {
   import scala.sys.process.Process
-  import BuildCommons.protoVersion
   def buildenv = Process(Seq("uname")).!!.trim.replaceFirst("[^A-Za-z0-9].*", "").toLowerCase
   def bashpath = Process(Seq("where", "bash")).!!.split("[\r\n]+").head.replace('\\', '/')
   lazy val settings = Seq(
-    // Setting version for the protobuf compiler. This has to be propagated to every sub-project
-    // even if the project is not using it.
-    PB.protocVersion := BuildCommons.protoVersion,
-    // For some reason the resolution from the imported Maven build does not work for some
-    // of these dependendencies that we need to shade later on.
-    libraryDependencies ++= {
-      Seq(
-        "com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf"
-      )
-    },
-    (Compile / PB.targets) := Seq(
-      PB.gens.java -> (Compile / sourceManaged).value
-    ),
     (Compile / resourceGenerators) += Def.task {
-      val buildScript = baseDirectory.value + "/../build/spark-build-info"
+      val buildScript = baseDirectory.value + "/../../build/spark-build-info"
       val targetDir = baseDirectory.value + "/target/extra-resources/"
       // support Windows build under cygwin/mingw64, etc
       val bash = buildenv match {
@@ -658,6 +646,25 @@ object Core {
       val propsFile = baseDirectory.value / "target" / "extra-resources" / "spark-version-info.properties"
       Seq(propsFile)
     }.taskValue
+  )
+}
+
+object Core {
+  import BuildCommons.protoVersion
+  lazy val settings = Seq(
+    // Setting version for the protobuf compiler. This has to be propagated to every sub-project
+    // even if the project is not using it.
+    PB.protocVersion := BuildCommons.protoVersion,
+    // For some reason the resolution from the imported Maven build does not work for some
+    // of these dependendencies that we need to shade later on.
+    libraryDependencies ++= {
+      Seq(
+        "com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf"
+      )
+    },
+    (Compile / PB.targets) := Seq(
+      PB.gens.java -> (Compile / sourceManaged).value
+    )
   ) ++ {
     val sparkProtocExecPath = sys.props.get("spark.protoc.executable.path")
     if (sparkProtocExecPath.isDefined) {

From 3ee3a48ba9c45b884dd40d0e7063be47e7164112 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 25 Jul 2023 23:51:12 -0400
Subject: [PATCH 062/986] [SPARK-44532][CONNECT][SQL] Move ArrowUtils to
 sql/api

Backport of https://github.com/apache/spark/commit/307e46cc4dfdad1f442e8c5c50ecb53c9ef7dc47 to branch-3.5.

## What changes were proposed in this pull request?
This PR moves ArrowUtils to sql/api. One method used for configuring python's arrow runner has been moved to ArrowPythonRunner .

## Why are the changes needed?
ArrowUtils is used by connect's direct Arrow encoding (and a lot of other things in sql). We want to remove the connect scala client's catalyst dependency. We need to move ArrowUtil in order to do so.

## Does this PR introduce any user-facing change?
No

## How was this patch tested?
Existing tests.

Closes #42156 from hvanhovell/SPARK-44532-3.5.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../client/arrow/ArrowDeserializer.scala      |  4 +-
 .../client/arrow/ArrowSerializer.scala        |  4 +-
 sql/api/pom.xml                               |  8 ++++
 .../apache/spark/sql/errors/ArrowErrors.scala | 39 +++++++++++++++++++
 .../spark/sql/errors/DataTypeErrors.scala     |  6 +++
 .../apache/spark/sql/util/ArrowUtils.scala    | 19 ++-------
 sql/catalyst/pom.xml                          |  8 ----
 .../sql/errors/QueryExecutionErrors.scala     | 20 ----------
 .../sql/execution/arrow/ArrowWriter.scala     |  4 +-
 .../apache/spark/sql/execution/Columnar.scala |  4 +-
 .../python/AggregateInPandasExec.scala        |  3 +-
 .../python/ArrowEvalPythonExec.scala          |  3 +-
 .../python/ArrowEvalPythonUDTFExec.scala      |  3 +-
 .../execution/python/ArrowPythonRunner.scala  | 12 ++++++
 .../python/FlatMapCoGroupsInPandasExec.scala  |  3 +-
 .../python/FlatMapGroupsInPandasExec.scala    |  3 +-
 .../FlatMapGroupsInPandasWithStateExec.scala  |  3 +-
 .../sql/execution/python/MapInBatchExec.scala |  3 +-
 .../execution/python/WindowInPandasExec.scala |  3 +-
 19 files changed, 85 insertions(+), 67 deletions(-)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala (91%)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 01aba9cb0cee2..4177a88ba5219 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -37,7 +37,7 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
-import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
+import org.apache.spark.sql.errors.{DataTypeErrors, QueryCompilationErrors}
 import org.apache.spark.sql.types.Decimal
 
 /**
@@ -341,7 +341,7 @@ object ArrowDeserializers {
         }
 
       case (CalendarIntervalEncoder | _: UDTEncoder[_], _) =>
-        throw QueryExecutionErrors.unsupportedDataTypeError(encoder.dataType)
+        throw DataTypeErrors.unsupportedDataTypeError(encoder.dataType)
 
       case _ =>
         throw new RuntimeException(
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
index d29f90a6a1981..9b39a75ceed84 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
@@ -38,7 +38,7 @@ import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.util.{DateTimeUtils, IntervalUtils}
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.sql.util.ArrowUtils
 
@@ -439,7 +439,7 @@ object ArrowSerializer {
         }
 
       case (CalendarIntervalEncoder | _: UDTEncoder[_], _) =>
-        throw QueryExecutionErrors.unsupportedDataTypeError(encoder.dataType)
+        throw DataTypeErrors.unsupportedDataTypeError(encoder.dataType)
 
       case _ =>
         throw new RuntimeException(s"Unsupported Encoder($encoder)/Vector($v) combination.")
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index f51b34d83314b..4119ee11f54e2 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -64,6 +64,14 @@
             <groupId>org.antlr</groupId>
             <artifactId>antlr4-runtime</artifactId>
         </dependency>
+        <dependency>
+            <groupId>org.apache.arrow</groupId>
+            <artifactId>arrow-vector</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.arrow</groupId>
+            <artifactId>arrow-memory-netty</artifactId>
+        </dependency>
     </dependencies>
     <build>
         <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala
new file mode 100644
index 0000000000000..59e35c9c9ba04
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala
@@ -0,0 +1,39 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.errors
+
+import org.apache.arrow.vector.types.pojo.ArrowType
+
+import org.apache.spark.SparkUnsupportedOperationException
+
+trait ArrowErrors {
+
+  def unsupportedArrowTypeError(typeName: ArrowType): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_ARROWTYPE",
+      messageParameters = Map("typeName" -> typeName.toString))
+  }
+
+  def duplicatedFieldNameInArrowStructError(
+      fieldNames: Seq[String]): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT",
+      messageParameters = Map("fieldNames" -> fieldNames.mkString("[", ", ", "]")))
+  }
+}
+
+object ArrowErrors extends ArrowErrors
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
index fcc3086b57310..1dd3cf3dd5d83 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
@@ -295,4 +295,10 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
       messageParameters = Map("operation" -> operation),
       cause = null)
   }
+
+  def unsupportedDataTypeError(typeName: DataType): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_DATATYPE",
+      messageParameters = Map("typeName" -> toSQLType(typeName)))
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
similarity index 91%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
index e880e973176eb..49990f7f033eb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
@@ -26,8 +26,7 @@ import org.apache.arrow.vector.complex.MapVector
 import org.apache.arrow.vector.types.{DateUnit, FloatingPointPrecision, IntervalUnit, TimeUnit}
 import org.apache.arrow.vector.types.pojo.{ArrowType, Field, FieldType, Schema}
 
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.errors.{ArrowErrors, DataTypeErrors}
 import org.apache.spark.sql.types._
 
 private[sql] object ArrowUtils {
@@ -61,7 +60,7 @@ private[sql] object ArrowUtils {
     case _: YearMonthIntervalType => new ArrowType.Interval(IntervalUnit.YEAR_MONTH)
     case _: DayTimeIntervalType => new ArrowType.Duration(TimeUnit.MICROSECOND)
     case _ =>
-      throw QueryExecutionErrors.unsupportedDataTypeError(dt)
+      throw DataTypeErrors.unsupportedDataTypeError(dt)
   }
 
   def fromArrowType(dt: ArrowType): DataType = dt match {
@@ -86,7 +85,7 @@ private[sql] object ArrowUtils {
     case ArrowType.Null.INSTANCE => NullType
     case yi: ArrowType.Interval if yi.getUnit == IntervalUnit.YEAR_MONTH => YearMonthIntervalType()
     case di: ArrowType.Duration if di.getUnit == TimeUnit.MICROSECOND => DayTimeIntervalType()
-    case _ => throw QueryExecutionErrors.unsupportedArrowTypeError(dt)
+    case _ => throw ArrowErrors.unsupportedArrowTypeError(dt)
   }
 
   /** Maps field from Spark to Arrow. NOTE: timeZoneId required for TimestampType */
@@ -172,16 +171,6 @@ private[sql] object ArrowUtils {
     }.toArray)
   }
 
-  /** Return Map with conf settings to be used in ArrowPythonRunner */
-  def getPythonRunnerConfMap(conf: SQLConf): Map[String, String] = {
-    val timeZoneConf = Seq(SQLConf.SESSION_LOCAL_TIMEZONE.key -> conf.sessionLocalTimeZone)
-    val pandasColsByName = Seq(SQLConf.PANDAS_GROUPED_MAP_ASSIGN_COLUMNS_BY_NAME.key ->
-      conf.pandasGroupedMapAssignColumnsByName.toString)
-    val arrowSafeTypeCheck = Seq(SQLConf.PANDAS_ARROW_SAFE_TYPE_CONVERSION.key ->
-      conf.arrowSafeTypeConversion.toString)
-    Map(timeZoneConf ++ pandasColsByName ++ arrowSafeTypeCheck: _*)
-  }
-
   private def deduplicateFieldNames(
       dt: DataType, errorOnDuplicatedFieldNames: Boolean): DataType = dt match {
     case udt: UserDefinedType[_] => deduplicateFieldNames(udt.sqlType, errorOnDuplicatedFieldNames)
@@ -190,7 +179,7 @@ private[sql] object ArrowUtils {
         st.names
       } else {
         if (errorOnDuplicatedFieldNames) {
-          throw QueryExecutionErrors.duplicatedFieldNameInArrowStructError(st.names)
+          throw ArrowErrors.duplicatedFieldNameInArrowStructError(st.names)
         }
         val genNawName = st.names.groupBy(identity).map {
           case (name, names) if names.length > 1 =>
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 12b6da94c8d52..e19b03bfbe8b5 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -116,14 +116,6 @@
       <artifactId>univocity-parsers</artifactId>
       <type>jar</type>
     </dependency>
-    <dependency>
-      <groupId>org.apache.arrow</groupId>
-      <artifactId>arrow-vector</artifactId>
-    </dependency>
-    <dependency>
-      <groupId>org.apache.arrow</groupId>
-      <artifactId>arrow-memory-netty</artifactId>
-    </dependency>
     <dependency>
       <groupId>org.apache.datasketches</groupId>
       <artifactId>datasketches-java</artifactId>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 7551e58c942b5..2e65d6726984d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -25,7 +25,6 @@ import java.time.temporal.ChronoField
 import java.util.concurrent.TimeoutException
 
 import com.fasterxml.jackson.core.{JsonParser, JsonToken}
-import org.apache.arrow.vector.types.pojo.ArrowType
 import org.apache.hadoop.fs.{FileAlreadyExistsException, FileStatus, Path}
 import org.apache.hadoop.fs.permission.FsPermission
 import org.codehaus.commons.compiler.{CompileException, InternalCompilerException}
@@ -1142,25 +1141,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       messageParameters = Map("cost" -> cost))
   }
 
-  def unsupportedArrowTypeError(typeName: ArrowType): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "UNSUPPORTED_ARROWTYPE",
-      messageParameters = Map("typeName" -> typeName.toString))
-  }
-
-  def unsupportedDataTypeError(typeName: DataType): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "UNSUPPORTED_DATATYPE",
-      messageParameters = Map("typeName" -> toSQLType(typeName)))
-  }
-
-  def duplicatedFieldNameInArrowStructError(
-      fieldNames: Seq[String]): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT",
-      messageParameters = Map("fieldNames" -> fieldNames.mkString("[", ", ", "]")))
-  }
-
   def notSupportTypeError(dataType: DataType): Throwable = {
     new SparkException(
       errorClass = "_LEGACY_ERROR_TEMP_2100",
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
index a55e4f0cfcdca..534cd8f9ab0d2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
@@ -24,7 +24,7 @@ import org.apache.arrow.vector.complex._
 
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.SpecializedGetters
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.ArrowUtils
 
@@ -83,7 +83,7 @@ object ArrowWriter {
       case (_: YearMonthIntervalType, vector: IntervalYearVector) => new IntervalYearWriter(vector)
       case (_: DayTimeIntervalType, vector: DurationVector) => new DurationWriter(vector)
       case (dt, _) =>
-        throw QueryExecutionErrors.unsupportedDataTypeError(dt)
+        throw DataTypeErrors.unsupportedDataTypeError(dt)
     }
   }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
index 9932f2741b0bd..a2029816c231f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
@@ -25,7 +25,7 @@ import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.plans.physical.Partitioning
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.DataTypeErrors
 import org.apache.spark.sql.execution.command.DataWritingCommandExec
 import org.apache.spark.sql.execution.datasources.V1WriteCommand
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
@@ -277,7 +277,7 @@ private object RowToColumnConverter {
       case dt: DecimalType => new DecimalConverter(dt)
       case mt: MapType => MapConverter(getConverterForType(mt.keyType, nullable = false),
         getConverterForType(mt.valueType, mt.valueContainsNull))
-      case unknown => throw QueryExecutionErrors.unsupportedDataTypeError(unknown)
+      case unknown => throw DataTypeErrors.unsupportedDataTypeError(unknown)
     }
 
     if (nullable) {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/AggregateInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/AggregateInPandasExec.scala
index 50452a5d9993b..73560a596ca58 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/AggregateInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/AggregateInPandasExec.scala
@@ -31,7 +31,6 @@ import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, ClusteredDistrib
 import org.apache.spark.sql.execution.{GroupedIterator, SparkPlan, UnaryExecNode}
 import org.apache.spark.sql.execution.aggregate.UpdatingSessionsIterator
 import org.apache.spark.sql.types.{DataType, StructField, StructType}
-import org.apache.spark.sql.util.ArrowUtils
 import org.apache.spark.util.Utils
 
 /**
@@ -102,7 +101,7 @@ case class AggregateInPandasExec(
 
     val sessionLocalTimeZone = conf.sessionLocalTimeZone
     val largeVarTypes = conf.arrowUseLargeVarTypes
-    val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+    val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
 
     val (pyFuncs, inputs) = udfExpressions.map(collectFunctions).unzip
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
index 2e25ee2ba74d1..ea1e8a366445e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
@@ -25,7 +25,6 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.execution.SparkPlan
 import org.apache.spark.sql.types.StructType
-import org.apache.spark.sql.util.ArrowUtils
 
 /**
  * Grouped a iterator into batches.
@@ -66,7 +65,7 @@ case class ArrowEvalPythonExec(udfs: Seq[PythonUDF], resultAttrs: Seq[Attribute]
   private val batchSize = conf.arrowMaxRecordsPerBatch
   private val sessionLocalTimeZone = conf.sessionLocalTimeZone
   private val largeVarTypes = conf.arrowUseLargeVarTypes
-  private val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+  private val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
   private[this] val jobArtifactUUID = JobArtifactSet.getCurrentJobArtifactState.map(_.uuid)
 
   protected override def evaluate(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonUDTFExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonUDTFExec.scala
index 9c9ae0fca2d35..9c0addfd2ae39 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonUDTFExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonUDTFExec.scala
@@ -24,7 +24,6 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.execution.SparkPlan
 import org.apache.spark.sql.types.StructType
-import org.apache.spark.sql.util.ArrowUtils
 import org.apache.spark.sql.vectorized.{ArrowColumnVector, ColumnarBatch}
 
 /**
@@ -49,7 +48,7 @@ case class ArrowEvalPythonUDTFExec(
   private val batchSize = conf.arrowMaxRecordsPerBatch
   private val sessionLocalTimeZone = conf.sessionLocalTimeZone
   private val largeVarTypes = conf.arrowUseLargeVarTypes
-  private val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+  private val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
   private[this] val jobArtifactUUID = JobArtifactSet.getCurrentJobArtifactState.map(_.uuid)
 
   override protected def evaluate(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala
index ea861df3c1f6f..d9bce96c47768 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala
@@ -56,3 +56,15 @@ class ArrowPythonRunner(
     "Pandas execution requires more than 4 bytes. Please set higher buffer. " +
       s"Please change '${SQLConf.PANDAS_UDF_BUFFER_SIZE.key}'.")
 }
+
+object ArrowPythonRunner {
+  /** Return Map with conf settings to be used in ArrowPythonRunner */
+  def getPythonRunnerConfMap(conf: SQLConf): Map[String, String] = {
+    val timeZoneConf = Seq(SQLConf.SESSION_LOCAL_TIMEZONE.key -> conf.sessionLocalTimeZone)
+    val pandasColsByName = Seq(SQLConf.PANDAS_GROUPED_MAP_ASSIGN_COLUMNS_BY_NAME.key ->
+      conf.pandasGroupedMapAssignColumnsByName.toString)
+    val arrowSafeTypeCheck = Seq(SQLConf.PANDAS_ARROW_SAFE_TYPE_CONVERSION.key ->
+      conf.arrowSafeTypeConversion.toString)
+    Map(timeZoneConf ++ pandasColsByName ++ arrowSafeTypeCheck: _*)
+  }
+}
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
index 9ef133c6bea74..bbfe97d194778 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapCoGroupsInPandasExec.scala
@@ -26,7 +26,6 @@ import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, ClusteredDistrib
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{BinaryExecNode, CoGroupedIterator, SparkPlan}
 import org.apache.spark.sql.execution.python.PandasGroupUtils._
-import org.apache.spark.sql.util.ArrowUtils
 
 
 /**
@@ -58,7 +57,7 @@ case class FlatMapCoGroupsInPandasExec(
   extends SparkPlan with BinaryExecNode with PythonSQLMetrics {
 
   private val sessionLocalTimeZone = conf.sessionLocalTimeZone
-  private val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+  private val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
   private val pandasFunction = func.asInstanceOf[PythonUDF].func
   private val chainedFunc = Seq(ChainedPythonFunctions(Seq(pandasFunction)))
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
index 0ae5a99894337..f2d21ce8e9646 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala
@@ -26,7 +26,6 @@ import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, ClusteredDistrib
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.execution.{SparkPlan, UnaryExecNode}
 import org.apache.spark.sql.execution.python.PandasGroupUtils._
-import org.apache.spark.sql.util.ArrowUtils
 
 
 /**
@@ -55,7 +54,7 @@ case class FlatMapGroupsInPandasExec(
 
   private val sessionLocalTimeZone = conf.sessionLocalTimeZone
   private val largeVarTypes = conf.arrowUseLargeVarTypes
-  private val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+  private val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
   private val pandasFunction = func.asInstanceOf[PythonUDF].func
   private val chainedFunc = Seq(ChainedPythonFunctions(Seq(pandasFunction)))
   private[this] val jobArtifactUUID = JobArtifactSet.getCurrentJobArtifactState.map(_.uuid)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
index d80320404b0f7..b05a2d130d3d0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
@@ -33,7 +33,6 @@ import org.apache.spark.sql.execution.streaming.state.FlatMapGroupsWithStateExec
 import org.apache.spark.sql.execution.streaming.state.StateStore
 import org.apache.spark.sql.streaming.{GroupStateTimeout, OutputMode}
 import org.apache.spark.sql.types.StructType
-import org.apache.spark.sql.util.ArrowUtils
 import org.apache.spark.util.CompletionIterator
 
 /**
@@ -81,7 +80,7 @@ case class FlatMapGroupsInPandasWithStateExec(
   override def output: Seq[Attribute] = outAttributes
 
   private val sessionLocalTimeZone = conf.sessionLocalTimeZone
-  private val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+  private val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
 
   private val pythonFunction = functionExpr.asInstanceOf[PythonUDF].func
   private val chainedFunc = Seq(ChainedPythonFunctions(Seq(pythonFunction)))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
index 368184934fa03..4a47c2089d68f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
@@ -24,7 +24,6 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.physical._
 import org.apache.spark.sql.execution.UnaryExecNode
-import org.apache.spark.sql.util.ArrowUtils
 
 /**
  * A relation produced by applying a function that takes an iterator of batches
@@ -46,7 +45,7 @@ trait MapInBatchExec extends UnaryExecNode with PythonSQLMetrics {
   override def outputPartitioning: Partitioning = child.outputPartitioning
 
   override protected def doExecute(): RDD[InternalRow] = {
-    val pythonRunnerConf = ArrowUtils.getPythonRunnerConfMap(conf)
+    val pythonRunnerConf = ArrowPythonRunner.getPythonRunnerConfMap(conf)
     val pythonFunction = func.asInstanceOf[PythonUDF].func
     val chainedFunc = Seq(ChainedPythonFunctions(Seq(pythonFunction)))
     val evaluatorFactory = new MapInBatchEvaluatorFactory(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/WindowInPandasExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/WindowInPandasExec.scala
index 3d43c417dcb23..5ba2fb9b7fe0e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/WindowInPandasExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/WindowInPandasExec.scala
@@ -33,7 +33,6 @@ import org.apache.spark.sql.execution.{ExternalAppendOnlyUnsafeRowArray, SparkPl
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
 import org.apache.spark.sql.execution.window._
 import org.apache.spark.sql.types._
-import org.apache.spark.sql.util.ArrowUtils
 import org.apache.spark.util.Utils
 
 /**
@@ -200,7 +199,7 @@ case class WindowInPandasExec(
 
     val udfWindowBoundTypes = pyFuncs.indices.map(i =>
       frameWindowBoundTypes(expressionIndexToFrameIndex(i)))
-    val pythonRunnerConf: Map[String, String] = (ArrowUtils.getPythonRunnerConfMap(conf)
+    val pythonRunnerConf: Map[String, String] = (ArrowPythonRunner.getPythonRunnerConfMap(conf)
       + (windowBoundTypeConf -> udfWindowBoundTypes.map(_.value).mkString(",")))
 
     // Filter child output attributes down to only those that are UDF inputs.

From 95a59223ce79174c9a605a4305082a1211ccb7e8 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 25 Jul 2023 23:57:14 -0400
Subject: [PATCH 063/986] [SPARK-44535][CONNECT][SQL] Move required Streaming
 API to sql/api

### What changes were proposed in this pull request?
This PR moves a bunch streaming classed to the SQL/API project.

### Why are the changes needed?
This is needed to disconnect the Spark Connect Scala Client from catalyst.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Existing Tests.

Closes #42140 from hvanhovell/SPARK-44535.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 03d0ecc68365565e921ac6bc0f253ee67d2042d7)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../sql/streaming/DataStreamWriter.scala      |  3 +--
 .../streaming/StreamingQueryListener.scala    |  3 +--
 .../sql/streaming/StreamingQueryManager.scala |  6 ++---
 .../CheckConnectJvmClientCompatibility.scala  | 18 ++++++++++++++
 dev/checkstyle-suppressions.xml               |  4 ++--
 project/MimaExcludes.scala                    |  5 +++-
 .../sql/streaming/GroupStateTimeout.java      |  0
 .../spark/sql/streaming/OutputMode.java       |  0
 .../{GenericRow.scala => rows.scala}          | 10 ++++++++
 .../plans/logical/groupStateTimeouts.scala    | 24 +++++++++++++++++++
 .../streaming/InternalOutputModes.scala       |  0
 .../spark/sql/catalyst/expressions/rows.scala |  9 -------
 .../sql/catalyst/plans/logical/object.scala   |  5 ----
 13 files changed, 63 insertions(+), 24 deletions(-)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java (100%)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/streaming/OutputMode.java (100%)
 rename sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/{GenericRow.scala => rows.scala} (82%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/groupStateTimeouts.scala
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala (100%)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
index ad76ab4a1bc66..b395a2d073d6d 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
@@ -38,7 +38,6 @@ import org.apache.spark.sql.execution.streaming.OneTimeTrigger
 import org.apache.spark.sql.execution.streaming.ProcessingTimeTrigger
 import org.apache.spark.sql.types.NullType
 import org.apache.spark.util.SparkSerDeUtils
-import org.apache.spark.util.Utils
 
 /**
  * Interface used to write a streaming `Dataset` to external storage systems (e.g. file systems,
@@ -240,7 +239,7 @@ final class DataStreamWriter[T] private[sql] (ds: Dataset[T]) extends Logging {
    */
   @Evolving
   def foreachBatch(function: (Dataset[T], Long) => Unit): DataStreamWriter[T] = {
-    val serializedFn = Utils.serialize(function)
+    val serializedFn = SparkSerDeUtils.serialize(function)
     sinkBuilder.getForeachBatchBuilder.getScalaFunctionBuilder
       .setPayload(ByteString.copyFrom(serializedFn))
       .setOutputType(DataTypeProtoConverter.toConnectProtoType(NullType)) // Unused.
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
index 8cef421becd11..e2f3be02ad3ae 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
@@ -25,7 +25,6 @@ import org.json4s.JsonDSL.{jobject2assoc, pair2Assoc}
 import org.json4s.jackson.JsonMethods.{compact, render}
 
 import org.apache.spark.annotation.Evolving
-import org.apache.spark.scheduler.SparkListenerEvent
 
 /**
  * Interface for listening to events related to [[StreamingQuery StreamingQueries]].
@@ -116,7 +115,7 @@ object StreamingQueryListener extends Serializable {
    * @since 3.5.0
    */
   @Evolving
-  trait Event extends SparkListenerEvent
+  trait Event
 
   /**
    * Event representing the start of a query
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
index 8f9e768d23f7d..917444604405c 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
@@ -31,7 +31,7 @@ import org.apache.spark.connect.proto.StreamingQueryManagerCommandResult
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.common.{InvalidPlanInput, StreamingListenerPacket}
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkSerDeUtils
 
 /**
  * A class to manage all the [[StreamingQuery]] active in a `SparkSession`.
@@ -155,7 +155,7 @@ class StreamingQueryManager private[sql] (sparkSession: SparkSession) extends Lo
     cacheListenerById(id, listener)
     executeManagerCmd(
       _.getAddListenerBuilder
-        .setListenerPayload(ByteString.copyFrom(Utils
+        .setListenerPayload(ByteString.copyFrom(SparkSerDeUtils
           .serialize(StreamingListenerPacket(id, listener)))))
   }
 
@@ -168,7 +168,7 @@ class StreamingQueryManager private[sql] (sparkSession: SparkSession) extends Lo
     val id = getIdByListener(listener)
     executeManagerCmd(
       _.getRemoveListenerBuilder
-        .setListenerPayload(ByteString.copyFrom(Utils
+        .setListenerPayload(ByteString.copyFrom(SparkSerDeUtils
           .serialize(StreamingListenerPacket(id, listener)))))
     removeCachedListener(id)
   }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index deb2ff631fdf2..08028f26eb40f 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -280,6 +280,24 @@ object CheckConnectJvmClientCompatibility {
         "org.apache.spark.sql.streaming.PythonStreamingQueryListener"),
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.streaming.PythonStreamingQueryListenerWrapper"),
+      ProblemFilters.exclude[MissingTypesProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener$Event"),
+      ProblemFilters.exclude[MissingTypesProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener$QueryIdleEvent"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener#QueryIdleEvent.logEvent"),
+      ProblemFilters.exclude[MissingTypesProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener$QueryProgressEvent"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener#QueryProgressEvent.logEvent"),
+      ProblemFilters.exclude[MissingTypesProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener$QueryStartedEvent"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener#QueryStartedEvent.logEvent"),
+      ProblemFilters.exclude[MissingTypesProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener$QueryTerminatedEvent"),
+      ProblemFilters.exclude[DirectMissingMethodProblem](
+        "org.apache.spark.sql.streaming.StreamingQueryListener#QueryTerminatedEvent.logEvent"),
 
       // SQLImplicits
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SQLImplicits.rddToDatasetHolder"),
diff --git a/dev/checkstyle-suppressions.xml b/dev/checkstyle-suppressions.xml
index 8929fb6224d5e..17677bee7fef0 100644
--- a/dev/checkstyle-suppressions.xml
+++ b/dev/checkstyle-suppressions.xml
@@ -53,9 +53,9 @@
     <suppress checks="MethodName"
               files="src/main/java/org/apache/hive/service/auth/PasswdAuthenticationProvider.java"/>
     <suppress checks="MethodName"
-              files="sql/catalyst/src/main/java/org/apache/spark/sql/streaming/OutputMode.java"/>
+              files="sql/api/src/main/java/org/apache/spark/sql/streaming/OutputMode.java"/>
     <suppress checks="MethodName"
-              files="sql/catalyst/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java"/>
+              files="sql/api/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java"/>
     <suppress checks="MethodName"
               files="sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
     <suppress checks="MethodName"
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 3b4f0796ec112..6d5276102316c 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -60,7 +60,10 @@ object MimaExcludes {
     // [SPARK-43952][CORE][CONNECT][SQL] Add SparkContext APIs for query cancellation by tag
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.JobData.this"),
     // [SPARK-44205][SQL] Extract Catalyst Code from DecimalType
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.types.DecimalType.unapply")
+    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.types.DecimalType.unapply"),
+    // [SPARK-44535][CONNECT][SQL] Move required Streaming API to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupStateTimeout"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode")
   )
 
   // Defulat exclude rules
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java b/sql/api/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java
rename to sql/api/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/streaming/OutputMode.java b/sql/api/src/main/java/org/apache/spark/sql/streaming/OutputMode.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/streaming/OutputMode.java
rename to sql/api/src/main/java/org/apache/spark/sql/streaming/OutputMode.java
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
similarity index 82%
rename from sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
index f4b45f5928ed7..fbd4c1d98379b 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/GenericRow.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
@@ -17,6 +17,7 @@
 package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.sql.Row
+import org.apache.spark.sql.types.StructType
 
 /**
  * A row implementation that uses an array of objects as the underlying storage.  Note that, while
@@ -37,3 +38,12 @@ class GenericRow(protected[sql] val values: Array[Any]) extends Row {
 
   override def copy(): GenericRow = this
 }
+
+class GenericRowWithSchema(values: Array[Any], override val schema: StructType)
+  extends GenericRow(values) {
+
+  /** No-arg constructor for serialization. */
+  protected def this() = this(null, null)
+
+  override def fieldIndex(name: String): Int = schema.fieldIndex(name)
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/groupStateTimeouts.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/groupStateTimeouts.scala
new file mode 100644
index 0000000000000..785732e983351
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/groupStateTimeouts.scala
@@ -0,0 +1,24 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.plans.logical
+
+import org.apache.spark.sql.streaming.GroupStateTimeout
+
+/** Types of timeouts used in FlatMapGroupsWithState */
+case object NoTimeout extends GroupStateTimeout
+case object ProcessingTimeTimeout extends GroupStateTimeout
+case object EventTimeTimeout extends GroupStateTimeout
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
index 10c33a43270cf..09d78f79edd17 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala
@@ -157,15 +157,6 @@ trait BaseGenericInternalRow extends InternalRow {
   }
 }
 
-class GenericRowWithSchema(values: Array[Any], override val schema: StructType)
-  extends GenericRow(values) {
-
-  /** No-arg constructor for serialization. */
-  protected def this() = this(null, null)
-
-  override def fieldIndex(name: String): Int = schema.fieldIndex(name)
-}
-
 /**
  * An internal row implementation that uses an array of objects as the underlying storage.
  * Note that, while the array is not copied, and thus could technically be mutated after creation,
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
index d79d55bc9646d..35b0bd4363b0d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
@@ -451,11 +451,6 @@ case class MapGroups(
 /** Internal class representing State */
 trait LogicalGroupState[S]
 
-/** Types of timeouts used in FlatMapGroupsWithState */
-case object NoTimeout extends GroupStateTimeout
-case object ProcessingTimeTimeout extends GroupStateTimeout
-case object EventTimeTimeout extends GroupStateTimeout
-
 /** Factory for constructing new `MapGroupsWithState` nodes. */
 object FlatMapGroupsWithState {
   def apply[K: Encoder, V: Encoder, S: Encoder, U: Encoder](

From 11f9d00caedc3cb1dfc94cf5cfbdfd7aa7c93576 Mon Sep 17 00:00:00 2001
From: Mathew Jacob <mathew.jacob@databricks.com>
Date: Wed, 26 Jul 2023 16:21:01 +0900
Subject: [PATCH 064/986] [SPARK-44264][PYTHON] Added Deepspeed Folder to
 setup.py

### What changes were proposed in this pull request?
Added pyspark.ml.deepspeed to the setup.py

### Why are the changes needed?
It allows the deepspeed distributor to be pip installed when you pip install pyspark.

### Does this PR introduce _any_ user-facing change?
No

Closes #42123 from mathewjacob1002/add_deepspeed_setup_py.

Authored-by: Mathew Jacob <mathew.jacob@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 89c3472c5feb7b9625f55f82d08429dcb55a6fee)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/ml/deepspeed/__init__.py | 16 ++++++++++++++++
 python/setup.py                         |  1 +
 2 files changed, 17 insertions(+)
 create mode 100644 python/pyspark/ml/deepspeed/__init__.py

diff --git a/python/pyspark/ml/deepspeed/__init__.py b/python/pyspark/ml/deepspeed/__init__.py
new file mode 100644
index 0000000000000..cce3acad34a49
--- /dev/null
+++ b/python/pyspark/ml/deepspeed/__init__.py
@@ -0,0 +1,16 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/python/setup.py b/python/setup.py
index f190930b2a74e..3774273c42179 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -241,6 +241,7 @@ def run(self):
             "pyspark.ml.linalg",
             "pyspark.ml.param",
             "pyspark.ml.torch",
+            "pyspark.ml.deepspeed",
             "pyspark.sql",
             "pyspark.sql.avro",
             "pyspark.sql.connect",

From d4b03ec53db98d237e00aa9e097ef69faa19b4b1 Mon Sep 17 00:00:00 2001
From: Mathew Jacob <mathew.jacob@databricks.com>
Date: Wed, 26 Jul 2023 16:22:45 +0900
Subject: [PATCH 065/986] [SPARK-44264][PYTHON][DOCS] Added Example to
 Deepspeed Distributor

### What changes were proposed in this pull request?
Added examples to the docstring of using DeepspeedTorchDistributor

### Why are the changes needed?
More concrete examples, allowing for a better understanding of feature.

### Does this PR introduce _any_ user-facing change?
Yes, docs changes.

### How was this patch tested?
make html

Closes #42087 from mathewjacob1002/docs_deepspeed.

Lead-authored-by: Mathew Jacob <mathew.jacob@databricks.com>
Co-authored-by: Mathew Jacob <134338709+mathewjacob1002@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit ac8fe83af2178d76a9e3df9fedf008ef26d8d044)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../ml/deepspeed/deepspeed_distributor.py     | 50 ++++++++++++++-----
 1 file changed, 38 insertions(+), 12 deletions(-)

diff --git a/python/pyspark/ml/deepspeed/deepspeed_distributor.py b/python/pyspark/ml/deepspeed/deepspeed_distributor.py
index d6ae98de5e345..7c2b8c43526c2 100644
--- a/python/pyspark/ml/deepspeed/deepspeed_distributor.py
+++ b/python/pyspark/ml/deepspeed/deepspeed_distributor.py
@@ -35,11 +35,11 @@ class DeepspeedTorchDistributor(TorchDistributor):
 
     def __init__(
         self,
-        num_gpus: int = 1,
+        numGpus: int = 1,
         nnodes: int = 1,
-        local_mode: bool = True,
-        use_gpu: bool = True,
-        deepspeed_config: Optional[Union[str, Dict[str, Any]]] = None,
+        localMode: bool = True,
+        useGpu: bool = True,
+        deepspeedConfig: Optional[Union[str, Dict[str, Any]]] = None,
     ):
         """
         This class is used to run deepspeed training workloads with spark clusters.
@@ -49,25 +49,51 @@ def __init__(
 
         Parameters
         ----------
-        num_gpus: int
+        numGpus: int
             The number of GPUs to use per node (analagous to num_gpus in deepspeed command).
         nnodes: int
             The number of nodes that should be used for the run.
-        local_mode: bool
+        localMode: bool
             Whether or not to run the training in a distributed fashion or just locally.
-        use_gpu: bool
+        useGpu: bool
             Boolean flag to determine whether to utilize gpus.
-        deepspeed_config: Union[Dict[str,Any], str] or None:
+        deepspeedConfig: Union[Dict[str,Any], str] or None:
             The configuration file to be used for launching the deepspeed application.
             If it's a dictionary containing the parameters, then we will create the file.
             If None, deepspeed will fall back to default parameters.
+
+        Examples
+        --------
+        Run Deepspeed training function on a single node
+
+        >>> def train(learning_rate):
+        ...     import deepspeed
+        ...     # rest of training function
+        ...     return model
+        >>> distributor = DeepspeedTorchDistributor(
+        ...     numGpus=4,
+        ...     nnodes=1,
+        ...     useGpu=True,
+        ...     localMode=True,
+        ...     deepspeedConfig="path/to/config.json")
+        >>> output = distributor.run(train, 0.01)
+
+        Run Deepspeed training function on multiple nodes
+
+        >>> distributor = DeepspeedTorchDistributor(
+        ...     numGpus=4,
+        ...     nnodes=3,
+        ...     useGpu=True,
+        ...     localMode=False,
+        ...     deepspeedConfig="path/to/config.json")
+        >>> output = distributor.run(train, 0.01)
         """
-        num_processes = num_gpus * nnodes
-        self.deepspeed_config = deepspeed_config
+        num_processes = numGpus * nnodes
+        self.deepspeed_config = deepspeedConfig
         super().__init__(
             num_processes,
-            local_mode,
-            use_gpu,
+            localMode,
+            useGpu,
             _ssl_conf=DeepspeedTorchDistributor._DEEPSPEED_SSL_CONF,
         )
         self.cleanup_deepspeed_conf = False

From a8539688186be40c81c39050e70a49a9ef01519f Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 26 Jul 2023 15:52:38 +0800
Subject: [PATCH 066/986] [SPARK-44544][INFRA] Deduplicate
 `run_python_packaging_tests`

### What changes were proposed in this pull request?
it seems that `run_python_packaging_tests` requires some disk space and cause some pyspark modules fail, this PR is to make `run_python_packaging_tests` only enabled within `pyspark-errors` (which is the smallest pyspark test module)

![image](https://github.com/apache/spark/assets/7322292/2d37c141-15b8-4d9f-bfbd-4dd7782ab62e)

### Why are the changes needed?

1, it seems it is the `run_python_packaging_tests` that cause the `No space left` error;
2, the `run_python_packaging_tests` is tested in all `pyspark-*` test modules, should be deduplicated;

### Does this PR introduce _any_ user-facing change?
no, infra-only

### How was this patch tested?
updated CI

Closes #42146 from zhengruifeng/infra_skip_py_packing_tests.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 748eaff4e2177466dd746f6fbb82de8544bc7168)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .github/workflows/build_and_test.yml | 16 ++++++++++++++--
 dev/run-tests.py                     |  2 +-
 2 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 54fe9f38dddf2..1fcca7e4c3984 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -204,6 +204,7 @@ jobs:
       HIVE_PROFILE: ${{ matrix.hive }}
       GITHUB_PREV_SHA: ${{ github.event.before }}
       SPARK_LOCAL_IP: localhost
+      SKIP_PACKAGING: true
     steps:
     - name: Checkout Spark repository
       uses: actions/checkout@v3
@@ -343,6 +344,8 @@ jobs:
         java:
           - ${{ inputs.java }}
         modules:
+          - >-
+            pyspark-errors
           - >-
             pyspark-sql, pyspark-mllib, pyspark-resource, pyspark-testing
           - >-
@@ -352,7 +355,7 @@ jobs:
           - >-
             pyspark-pandas-slow
           - >-
-            pyspark-connect, pyspark-errors
+            pyspark-connect
           - >-
             pyspark-pandas-connect
           - >-
@@ -365,6 +368,7 @@ jobs:
       SPARK_LOCAL_IP: localhost
       SKIP_UNIDOC: true
       SKIP_MIMA: true
+      SKIP_PACKAGING: true
       METASPACE_SIZE: 1g
     steps:
     - name: Checkout Spark repository
@@ -413,14 +417,20 @@ jobs:
         python3.9 -m pip list
         pypy3 -m pip list
     - name: Install Conda for pip packaging test
+      if: ${{ matrix.modules == 'pyspark-errors' }}
       run: |
         curl -s https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > miniconda.sh
         bash miniconda.sh -b -p $HOME/miniconda
     # Run the tests.
     - name: Run tests
       env: ${{ fromJSON(inputs.envs) }}
+      shell: 'script -q -e -c "bash {0}"'
       run: |
-        export PATH=$PATH:$HOME/miniconda/bin
+        if [[ "$MODULES_TO_TEST" == "pyspark-errors" ]]; then
+          export PATH=$PATH:$HOME/miniconda/bin
+          export SKIP_PACKAGING=false
+          echo "Python Packaging Tests Enabled!"
+        fi
         ./dev/run-tests --parallelism 1 --modules "$MODULES_TO_TEST"
     - name: Upload coverage to Codecov
       if: fromJSON(inputs.envs).PYSPARK_CODECOV == 'true'
@@ -456,6 +466,7 @@ jobs:
       GITHUB_PREV_SHA: ${{ github.event.before }}
       SPARK_LOCAL_IP: localhost
       SKIP_MIMA: true
+      SKIP_PACKAGING: true
     steps:
     - name: Checkout Spark repository
       uses: actions/checkout@v3
@@ -900,6 +911,7 @@ jobs:
       SPARK_LOCAL_IP: localhost
       ORACLE_DOCKER_IMAGE_NAME: gvenzl/oracle-xe:21.3.0
       SKIP_MIMA: true
+      SKIP_PACKAGING: true
     steps:
     - name: Checkout Spark repository
       uses: actions/checkout@v3
diff --git a/dev/run-tests.py b/dev/run-tests.py
index c0c281b549e36..9bf3095edb71f 100755
--- a/dev/run-tests.py
+++ b/dev/run-tests.py
@@ -395,7 +395,7 @@ def run_python_tests(test_modules, parallelism, with_coverage=False):
 
 
 def run_python_packaging_tests():
-    if not os.environ.get("SPARK_JENKINS"):
+    if not os.environ.get("SPARK_JENKINS") and os.environ.get("SKIP_PACKAGING", "false") != "true":
         set_title_and_block("Running PySpark packaging tests", "BLOCK_PYSPARK_PIP_TESTS")
         command = [os.path.join(SPARK_HOME, "dev", "run-pip-tests")]
         run_cmd(command)

From ad370115609cf302abb486d31c5460468979bd33 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Wed, 26 Jul 2023 16:34:08 +0800
Subject: [PATCH 067/986] [SPARK-44525][SQL] Improve error message when Invoke
 method is not found

### What changes were proposed in this pull request?

This PR aims to improve the error message when `Invoke`'s `method` is not found.

### Why are the changes needed?

Currently, the error message is not clear when `Invoke`'s `method` is not found.

There is one error message I have encountered, which is not much helpful to find the root cause.
```
org.apache.spark.SparkException: [INTERNAL_ERROR] A method named "invoke" is not declared in any enclosing class nor any supertype
	at org.apache.spark.SparkException$.internalError(SparkException.scala:77)
	at org.apache.spark.SparkException$.internalError(SparkException.scala:81)
	at org.apache.spark.sql.errors.QueryExecutionErrors$.methodNotDeclaredError(QueryExecutionErrors.scala:452)
	at org.apache.spark.sql.catalyst.expressions.objects.InvokeLike.findMethod(objects.scala:173)
	at org.apache.spark.sql.catalyst.expressions.objects.InvokeLike.findMethod$(objects.scala:170)
	at org.apache.spark.sql.catalyst.expressions.objects.Invoke.findMethod(objects.scala:363)
	at org.apache.spark.sql.catalyst.expressions.objects.Invoke.method$lzycompute(objects.scala:391)
	at org.apache.spark.sql.catalyst.expressions.objects.Invoke.method(objects.scala:389)
	at org.apache.spark.sql.catalyst.expressions.objects.Invoke.eval(objects.scala:401)
	at org.apache.spark.sql.catalyst.expressions.HashExpression.eval(hash.scala:292)
	at org.apache.spark.sql.catalyst.expressions.Pmod.eval(arithmetic.scala:1054)
```

### Does this PR introduce _any_ user-facing change?

Yes, Spark returns a more clear error message.

### How was this patch tested?

Add UT.

Closes #42128 from pan3793/SPARK-44525.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit a84e2b1eee3bb868f140bffeba4e19b1a56fa3fb)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../expressions/objects/objects.scala         |  2 +-
 .../sql/errors/QueryExecutionErrors.scala     |  9 +++++
 .../expressions/ObjectExpressionsSuite.scala  | 34 ++++++++++++++++++-
 3 files changed, 43 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
index fec60aef1bfdc..32bcdaf8609db 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
@@ -185,7 +185,7 @@ trait InvokeLike extends Expression with NonSQLExpression with ImplicitCastInput
   final def findMethod(cls: Class[_], functionName: String, argClasses: Seq[Class[_]]): Method = {
     val method = MethodUtils.getMatchingAccessibleMethod(cls, functionName, argClasses: _*)
     if (method == null) {
-      throw QueryExecutionErrors.methodNotDeclaredError(functionName)
+      throw QueryExecutionErrors.methodNotFoundError(cls, functionName, argClasses)
     } else {
       method
     }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 2e65d6726984d..2d0e29b1032fe 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -464,6 +464,15 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       s"""A method named "$name" is not declared in any enclosing class nor any supertype""")
   }
 
+  def methodNotFoundError(
+      cls: Class[_],
+      functionName: String,
+      argClasses: Seq[Class[_]]): Throwable = {
+    SparkException.internalError(
+      s"Couldn't find method $functionName with arguments " +
+        s"${argClasses.mkString("(", ", ", ")")} on $cls.")
+  }
+
   def constructorNotFoundError(cls: String): SparkRuntimeException = {
     new SparkRuntimeException(
       errorClass = "_LEGACY_ERROR_TEMP_2020",
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
index 63edba80ec83b..73da5f4d3af55 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
@@ -25,7 +25,7 @@ import scala.reflect.ClassTag
 import scala.reflect.runtime.universe.TypeTag
 import scala.util.Random
 
-import org.apache.spark.{SparkConf, SparkFunSuite, SparkRuntimeException}
+import org.apache.spark.{SparkConf, SparkException, SparkFunSuite, SparkRuntimeException}
 import org.apache.spark.serializer.{JavaSerializer, KryoSerializer}
 import org.apache.spark.sql.{RandomDataGenerator, Row}
 import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow, ScalaReflection, ScroogeLikeExample}
@@ -73,6 +73,38 @@ class ObjectExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     checkEvaluationWithMutableProjection(invoke, null, inputRow)
   }
 
+  test("SPARK-44525: Invoke could not find method") {
+    val inputRow = InternalRow(new Object)
+    val inputObject = BoundReference(0, ObjectType(classOf[Object]), nullable = false)
+
+    checkError(
+      exception = intercept[SparkException] {
+        Invoke(inputObject, "zeroArgNotExistMethod", IntegerType).eval(inputRow)
+      },
+      errorClass = "INTERNAL_ERROR",
+      parameters = Map("message" ->
+        ("Couldn't find method zeroArgNotExistMethod with arguments " +
+          "() on class java.lang.Object.")
+      )
+    )
+
+    checkError(
+      exception = intercept[SparkException] {
+        Invoke(
+          inputObject,
+          "oneArgNotExistMethod",
+          IntegerType,
+          Seq(Literal.fromObject(UTF8String.fromString("dummyInputString"))),
+          Seq(StringType)).eval(inputRow)
+      },
+      errorClass = "INTERNAL_ERROR",
+      parameters = Map("message" ->
+        ("Couldn't find method oneArgNotExistMethod with arguments " +
+          "(class org.apache.spark.unsafe.types.UTF8String) on class java.lang.Object.")
+      )
+    )
+  }
+
   test("MapObjects should make copies of unsafe-backed data") {
     // test UnsafeRow-backed data
     val structEncoder = ExpressionEncoder[Array[Tuple2[java.lang.Integer, java.lang.Integer]]]

From e0c8f14ce53080e2863c076b7912239bee35003e Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 26 Jul 2023 07:15:27 -0400
Subject: [PATCH 068/986] [SPARK-44531][CONNECT][SQL] Move encoder inference to
 sql/api

### What changes were proposed in this pull request?
This PR move encoder inference (ScalaReflection/RowEncoder/JavaTypeInference) into sql/api.

### Why are the changes needed?
We want to use encoder inference in the spark connect scala client. The client's dependency to catalyst is going away, so we need to move this.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Existing tests.

Closes #42134 from hvanhovell/SPARK-44531.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 071feabbd4325504332679dfa620bc5ee4359370)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../ml/source/image/ImageFileFormat.scala     |  4 +-
 .../ml/source/libsvm/LibSVMRelation.scala     |  4 +-
 project/MimaExcludes.scala                    |  3 +
 sql/api/pom.xml                               |  4 +
 .../org/apache/spark/sql/types/DataTypes.java |  0
 .../spark/sql/types/SQLUserDefinedType.java   |  0
 .../org/apache/spark/sql/SqlApiConf.scala     |  2 +
 .../sql/catalyst/JavaTypeInference.scala      |  9 +--
 .../spark/sql/catalyst/ScalaReflection.scala  | 13 ++--
 .../spark/sql/catalyst/WalkedTypePath.scala   |  0
 .../sql/catalyst/encoders/RowEncoder.scala    | 19 ++---
 .../spark/sql/errors/DataTypeErrorsBase.scala |  8 +-
 .../spark/sql/errors/EncoderErrors.scala      | 74 +++++++++++++++++++
 sql/catalyst/pom.xml                          |  5 --
 .../catalyst/encoders/ExpressionEncoder.scala |  8 +-
 .../sql/catalyst/plans/logical/object.scala   |  8 +-
 .../sql/errors/QueryExecutionErrors.scala     | 60 +--------------
 .../apache/spark/sql/internal/SQLConf.scala   |  2 +-
 .../spark/sql/CalendarIntervalBenchmark.scala |  4 +-
 .../org/apache/spark/sql/HashBenchmark.scala  |  4 +-
 .../spark/sql/UnsafeProjectionBenchmark.scala |  4 +-
 .../catalyst/encoders/RowEncoderSuite.scala   | 50 ++++++-------
 .../expressions/HashExpressionsSuite.scala    |  4 +-
 .../expressions/ObjectExpressionsSuite.scala  |  2 +-
 .../ObjectSerializerPruningSuite.scala        |  4 +-
 .../util/ArrayDataIndexedSeqSuite.scala       |  4 +-
 .../sql/catalyst/util/UnsafeArraySuite.scala  |  6 +-
 .../scala/org/apache/spark/sql/Dataset.scala  |  6 +-
 .../org/apache/spark/sql/SparkSession.scala   |  2 +-
 .../spark/sql/execution/SparkStrategies.scala |  4 +-
 .../datasources/DataSourceStrategy.scala      |  4 +-
 .../datasources/jdbc/JdbcUtils.scala          |  4 +-
 .../datasources/v2/V2CommandExec.scala        |  4 +-
 .../FlatMapGroupsInPandasWithStateExec.scala  |  4 +-
 .../streaming/MicroBatchExecution.scala       |  4 +-
 .../execution/streaming/sources/memory.scala  |  4 +-
 .../sql/DataFrameSessionWindowingSuite.scala  |  4 +-
 .../org/apache/spark/sql/DataFrameSuite.scala |  8 +-
 .../sql/DataFrameTimeWindowingSuite.scala     |  4 +-
 .../spark/sql/DatasetOptimizationSuite.scala  |  4 +-
 .../org/apache/spark/sql/DatasetSuite.scala   |  8 +-
 .../sql/execution/GroupedIteratorSuite.scala  |  8 +-
 .../binaryfile/BinaryFileFormatSuite.scala    |  4 +-
 .../sources/ForeachBatchSinkSuite.scala       |  4 +-
 .../spark/sql/streaming/StreamTest.scala      |  4 +-
 45 files changed, 205 insertions(+), 184 deletions(-)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/types/DataTypes.java (100%)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/types/SQLUserDefinedType.java (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala (96%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala (97%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/WalkedTypePath.scala (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala (88%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala

diff --git a/mllib/src/main/scala/org/apache/spark/ml/source/image/ImageFileFormat.scala b/mllib/src/main/scala/org/apache/spark/ml/source/image/ImageFileFormat.scala
index 206ce6f067549..bf6e6b8eec036 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/source/image/ImageFileFormat.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/source/image/ImageFileFormat.scala
@@ -25,7 +25,7 @@ import org.apache.hadoop.mapreduce.Job
 import org.apache.spark.ml.image.ImageSchema
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.UnsafeRow
 import org.apache.spark.sql.execution.datasources.{FileFormat, OutputWriterFactory, PartitionedFile}
 import org.apache.spark.sql.sources.{DataSourceRegister, Filter}
@@ -90,7 +90,7 @@ private[image] class ImageFileFormat extends FileFormat with DataSourceRegister
         if (requiredSchema.isEmpty) {
           filteredResult.map(_ => emptyUnsafeRow)
         } else {
-          val toRow = RowEncoder(requiredSchema).createSerializer()
+          val toRow = ExpressionEncoder(requiredSchema).createSerializer()
           filteredResult.map(row => toRow(row))
         }
       }
diff --git a/mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala b/mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala
index f4c5e3eece27c..3581693c05be3 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala
@@ -31,7 +31,7 @@ import org.apache.spark.ml.linalg.{Vectors, VectorUDT}
 import org.apache.spark.mllib.util.MLUtils
 import org.apache.spark.sql.{Row, SparkSession}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.AttributeReference
 import org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
@@ -167,7 +167,7 @@ private[libsvm] class LibSVMFileFormat
             LabeledPoint(label, Vectors.sparse(numFeatures, indices, values))
           }
 
-      val toRow = RowEncoder(dataSchema).createSerializer()
+      val toRow = ExpressionEncoder(dataSchema).createSerializer()
       val fullOutput = dataSchema.map { f =>
         AttributeReference(f.name, f.dataType, f.nullable, f.metadata)()
       }
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 6d5276102316c..0fdf6ad534d50 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -36,6 +36,9 @@ object MimaExcludes {
 
   // Exclude rules for 3.5.x from 3.4.0
   lazy val v35excludes = defaultExcludes ++ Seq(
+    // [SPARK-44531][CONNECT][SQL] Move encoder inference to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.DataTypes"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.SQLUserDefinedType"),
     // [SPARK-43165][SQL] Move canWrite to DataTypeUtils
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.types.DataType.canWrite"),
     // [SPARK-43195][CORE] Remove unnecessary serializable wrapper in HadoopFSUtils
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 4119ee11f54e2..a00a7024bf3bf 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -35,6 +35,10 @@
     </properties>
 
     <dependencies>
+        <dependency>
+            <groupId>org.scala-lang</groupId>
+            <artifactId>scala-reflect</artifactId>
+        </dependency>
         <dependency>
             <groupId>org.scala-lang.modules</groupId>
             <artifactId>scala-parser-combinators_${scala.binary.version}</artifactId>
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/types/DataTypes.java b/sql/api/src/main/java/org/apache/spark/sql/types/DataTypes.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/types/DataTypes.java
rename to sql/api/src/main/java/org/apache/spark/sql/types/DataTypes.java
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/types/SQLUserDefinedType.java b/sql/api/src/main/java/org/apache/spark/sql/types/SQLUserDefinedType.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/types/SQLUserDefinedType.java
rename to sql/api/src/main/java/org/apache/spark/sql/types/SQLUserDefinedType.java
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
index 48efa5106662c..66398495d9008 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
@@ -41,6 +41,7 @@ private[sql] trait SqlApiConf {
   def timestampType: AtomicType
   def allowNegativeScaleOfDecimalEnabled: Boolean
   def charVarcharAsString: Boolean
+  def datetimeJava8ApiEnabled: Boolean
 }
 
 private[sql] object SqlApiConf {
@@ -76,4 +77,5 @@ private[sql] object DefaultSqlApiConf extends SqlApiConf {
   override def timestampType: AtomicType = TimestampType
   override def allowNegativeScaleOfDecimalEnabled: Boolean = false
   override def charVarcharAsString: Boolean = false
+  override def datetimeJava8ApiEnabled: Boolean = false
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
similarity index 96%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index 36b98737a206a..ec9e704c66d1d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -24,10 +24,9 @@ import javax.annotation.Nonnull
 import scala.annotation.tailrec
 import scala.reflect.ClassTag
 
-import org.apache.spark.SPARK_DOC_ROOT
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ArrayEncoder, BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, DayTimeIntervalEncoder, DEFAULT_JAVA_DECIMAL_ENCODER, EncoderField, IterableEncoder, JavaBeanEncoder, JavaBigIntEncoder, JavaEnumEncoder, LocalDateTimeEncoder, MapEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, STRICT_DATE_ENCODER, STRICT_INSTANT_ENCODER, STRICT_LOCAL_DATE_ENCODER, STRICT_TIMESTAMP_ENCODER, StringEncoder, UDTEncoder, YearMonthIntervalEncoder}
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.EncoderErrors
 import org.apache.spark.sql.types._
 
 /**
@@ -116,7 +115,7 @@ object JavaTypeInference {
 
     case c: Class[_] =>
       if (seenTypeSet.contains(c)) {
-        throw QueryExecutionErrors.cannotHaveCircularReferencesInBeanClassError(c)
+        throw EncoderErrors.cannotHaveCircularReferencesInBeanClassError(c)
       }
 
       // TODO: we should only collect properties that have getter and setter. However, some tests
@@ -139,7 +138,7 @@ object JavaTypeInference {
       JavaBeanEncoder(ClassTag(c), fields)
 
     case _ =>
-      throw QueryExecutionErrors.cannotFindEncoderForTypeError(t.toString, SPARK_DOC_ROOT)
+      throw EncoderErrors.cannotFindEncoderForTypeError(t.toString)
   }
 
   def getJavaBeanReadableProperties(beanClass: Class[_]): Array[PropertyDescriptor] = {
@@ -197,7 +196,7 @@ object JavaTypeInference {
             }
         }
       }
-      throw QueryExecutionErrors.unreachableError()
+      throw EncoderErrors.unreachableError()
     }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
similarity index 97%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
index 9f2548c378928..1f366393d25ce 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
@@ -26,12 +26,11 @@ import scala.util.{Failure, Success}
 
 import org.apache.commons.lang3.reflect.ConstructorUtils
 
-import org.apache.spark.SPARK_DOC_ROOT
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.EncoderErrors
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
 
@@ -378,13 +377,13 @@ object ScalaReflection extends ScalaReflection {
 
       case t if definedByConstructorParams(t) =>
         if (seenTypeSet.contains(t)) {
-          throw QueryExecutionErrors.cannotHaveCircularReferencesInClassError(t.toString)
+          throw EncoderErrors.cannotHaveCircularReferencesInClassError(t.toString)
         }
         val params = getConstructorParameters(t).map {
           case (fieldName, fieldType) =>
             if (SourceVersion.isKeyword(fieldName) ||
               !SourceVersion.isIdentifier(encodeFieldNameToIdentifier(fieldName))) {
-              throw QueryExecutionErrors.cannotUseInvalidJavaIdentifierAsFieldNameError(
+              throw EncoderErrors.cannotUseInvalidJavaIdentifierAsFieldNameError(
                 fieldName,
                 path)
             }
@@ -397,7 +396,7 @@ object ScalaReflection extends ScalaReflection {
         }
         ProductEncoder(ClassTag(getClassFromType(t)), params)
       case _ =>
-        throw QueryExecutionErrors.cannotFindEncoderForTypeError(tpe.toString, SPARK_DOC_ROOT)
+        throw EncoderErrors.cannotFindEncoderForTypeError(tpe.toString)
     }
   }
 }
@@ -478,7 +477,7 @@ trait ScalaReflection extends Logging {
    */
   private def getCompanionConstructor(tpe: Type): Symbol = {
     def throwUnsupportedOperation = {
-      throw QueryExecutionErrors.cannotFindConstructorForTypeError(tpe.toString)
+      throw EncoderErrors.cannotFindConstructorForTypeError(tpe.toString)
     }
     tpe.typeSymbol.asClass.companion match {
       case NoSymbol => throwUnsupportedOperation
@@ -501,7 +500,7 @@ trait ScalaReflection extends Logging {
       val primaryConstructorSymbol: Option[Symbol] = constructorSymbol.asTerm.alternatives.find(
         s => s.isMethod && s.asMethod.isPrimaryConstructor)
       if (primaryConstructorSymbol.isEmpty) {
-        throw QueryExecutionErrors.primaryConstructorNotFoundError(tpe.getClass)
+        throw EncoderErrors.primaryConstructorNotFoundError(tpe.getClass)
       } else {
         primaryConstructorSymbol.get.asMethod.paramLists
       }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/WalkedTypePath.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/WalkedTypePath.scala
similarity index 100%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/WalkedTypePath.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/WalkedTypePath.scala
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
similarity index 88%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
index 78243894544a3..5ab9c3bfc48b6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
@@ -20,10 +20,9 @@ package org.apache.spark.sql.catalyst.encoders
 import scala.collection.mutable
 import scala.reflect.classTag
 
-import org.apache.spark.sql.Row
+import org.apache.spark.sql.{Row, SqlApiConf}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, CalendarIntervalEncoder, DateEncoder, DayTimeIntervalEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, LocalDateTimeEncoder, MapEncoder, NullEncoder, RowEncoder => AgnosticRowEncoder, StringEncoder, TimestampEncoder, UDTEncoder, YearMonthIntervalEncoder}
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.errors.EncoderErrors
 import org.apache.spark.sql.types._
 
 /**
@@ -59,14 +58,6 @@ import org.apache.spark.sql.types._
  * }}}
  */
 object RowEncoder {
-  def apply(schema: StructType, lenient: Boolean): ExpressionEncoder[Row] = {
-    ExpressionEncoder(encoderFor(schema, lenient))
-  }
-
-  def apply(schema: StructType): ExpressionEncoder[Row] = {
-    apply(schema, lenient = false)
-  }
-
   def encoderFor(schema: StructType): AgnosticEncoder[Row] = {
     encoderFor(schema, lenient = false)
   }
@@ -89,10 +80,10 @@ object RowEncoder {
     case dt: DecimalType => JavaDecimalEncoder(dt, lenientSerialization = true)
     case BinaryType => BinaryEncoder
     case StringType => StringEncoder
-    case TimestampType if SQLConf.get.datetimeJava8ApiEnabled => InstantEncoder(lenient)
+    case TimestampType if SqlApiConf.get.datetimeJava8ApiEnabled => InstantEncoder(lenient)
     case TimestampType => TimestampEncoder(lenient)
     case TimestampNTZType => LocalDateTimeEncoder
-    case DateType if SQLConf.get.datetimeJava8ApiEnabled => LocalDateEncoder(lenient)
+    case DateType if SqlApiConf.get.datetimeJava8ApiEnabled => LocalDateEncoder(lenient)
     case DateType => DateEncoder(lenient)
     case CalendarIntervalType => CalendarIntervalEncoder
     case _: DayTimeIntervalType => DayTimeIntervalEncoder
@@ -106,7 +97,7 @@ object RowEncoder {
         annotation.udt()
       } else {
         UDTRegistration.getUDTFor(udt.userClass.getName).getOrElse {
-          throw QueryExecutionErrors.userDefinedTypeNotAnnotatedAndRegisteredError(udt)
+          throw EncoderErrors.userDefinedTypeNotAnnotatedAndRegisteredError(udt)
         }
       }
       UDTEncoder(udt, udtClass.asInstanceOf[Class[_ <: UserDefinedType[_]]])
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
index 4a8847959c289..0f4cb88dcf175 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.errors
 
 import java.util.Locale
 
-import org.apache.spark.QueryContext
+import org.apache.spark.{QueryContext, SparkRuntimeException}
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.catalyst.util.{AttributeNameParser, QuotingUtils, SparkStringUtils}
 import org.apache.spark.sql.types.{AbstractDataType, DataType, TypeCollection}
@@ -73,4 +73,10 @@ private[sql] trait DataTypeErrorsBase {
   def getQueryContext(sqlContext: SQLQueryContext): Array[QueryContext] = {
     if (sqlContext == null) Array.empty else Array(sqlContext.asInstanceOf[QueryContext])
   }
+
+  def unreachableError(err: String = ""): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2028",
+      messageParameters = Map("err" -> err))
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala
new file mode 100644
index 0000000000000..e70a5124ce730
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.errors
+
+import org.apache.spark.{SparkBuildInfo, SparkException, SparkRuntimeException, SparkUnsupportedOperationException}
+import org.apache.spark.sql.catalyst.WalkedTypePath
+import org.apache.spark.sql.types.UserDefinedType
+
+object EncoderErrors extends DataTypeErrorsBase {
+  def userDefinedTypeNotAnnotatedAndRegisteredError(udt: UserDefinedType[_]): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_2155",
+      messageParameters = Map(
+        "userClass" -> udt.userClass.getName),
+      cause = null)
+  }
+
+  def cannotFindEncoderForTypeError(typeName: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "ENCODER_NOT_FOUND",
+      messageParameters = Map(
+        "typeName" -> typeName,
+        "docroot" -> SparkBuildInfo.spark_doc_root))
+  }
+
+  def cannotHaveCircularReferencesInBeanClassError(
+      clazz: Class[_]): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2138",
+      messageParameters = Map("clazz" -> clazz.toString()))
+  }
+
+  def cannotFindConstructorForTypeError(tpe: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2144",
+      messageParameters = Map(
+        "tpe" -> tpe))
+  }
+
+  def cannotHaveCircularReferencesInClassError(t: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2139",
+      messageParameters = Map("t" -> t))
+  }
+
+  def cannotUseInvalidJavaIdentifierAsFieldNameError(
+      fieldName: String, walkedTypePath: WalkedTypePath): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2140",
+      messageParameters = Map(
+        "fieldName" -> fieldName,
+        "walkedTypePath" -> walkedTypePath.toString()))
+  }
+
+  def primaryConstructorNotFoundError(cls: Class[_]): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2021",
+      messageParameters = Map("cls" -> cls.toString()))
+  }
+}
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e19b03bfbe8b5..242bf304708bb 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -35,11 +35,6 @@
   </properties>
 
   <dependencies>
-    <dependency>
-      <groupId>org.scala-lang</groupId>
-      <artifactId>scala-reflect</artifactId>
-    </dependency>
-
     <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-core_${scala.binary.version}</artifactId>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
index 83a018bafe723..ff72b5a0d9653 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.catalyst.encoders
 import scala.reflect.ClassTag
 import scala.reflect.runtime.universe.TypeTag
 
-import org.apache.spark.sql.Encoder
+import org.apache.spark.sql.{Encoder, Row}
 import org.apache.spark.sql.catalyst.{DeserializerBuildHelper, InternalRow, JavaTypeInference, ScalaReflection, SerializerBuildHelper}
 import org.apache.spark.sql.catalyst.analysis.{Analyzer, GetColumnByOrdinal, SimpleAnalyzer, UnresolvedAttribute, UnresolvedExtractValue}
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.{Deserializer, Serializer}
@@ -58,6 +58,12 @@ object ExpressionEncoder {
       enc.clsTag)
   }
 
+  def apply(schema: StructType): ExpressionEncoder[Row] = apply(schema, lenient = false)
+
+  def apply(schema: StructType, lenient: Boolean): ExpressionEncoder[Row] = {
+    apply(RowEncoder.encoderFor(schema, lenient))
+  }
+
   // TODO: improve error message for java bean encoder.
   def javaBean[T](beanClass: Class[T]): ExpressionEncoder[T] = {
      apply(JavaTypeInference.encoderFor(beanClass))
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
index 35b0bd4363b0d..0abbbae93c619 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
@@ -149,8 +149,8 @@ object MapPartitionsInR {
         broadcastVars,
         encoder.schema,
         schema,
-        CatalystSerde.generateObjAttr(RowEncoder(schema)),
-        deserialized))(RowEncoder(schema))
+        CatalystSerde.generateObjAttr(ExpressionEncoder(schema)),
+        deserialized))(ExpressionEncoder(schema))
     }
   }
 }
@@ -606,8 +606,8 @@ object FlatMapGroupsInR {
         UnresolvedDeserializer(valueDeserializer, dataAttributes),
         groupingAttributes,
         dataAttributes,
-        CatalystSerde.generateObjAttr(RowEncoder(schema)),
-        child))(RowEncoder(schema))
+        CatalystSerde.generateObjAttr(ExpressionEncoder(schema)),
+        child))(ExpressionEncoder(schema))
     }
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 2d0e29b1032fe..5b1eaa20d229e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -33,8 +33,8 @@ import org.apache.spark._
 import org.apache.spark.launcher.SparkLauncher
 import org.apache.spark.memory.SparkOutOfMemoryError
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.{TableIdentifier, WalkedTypePath}
 import org.apache.spark.sql.catalyst.ScalaReflection.Schema
+import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.catalyst.analysis.UnresolvedGenerator
 import org.apache.spark.sql.catalyst.catalog.{CatalogDatabase, CatalogTable}
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression}
@@ -479,12 +479,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       messageParameters = Map("cls" -> cls))
   }
 
-  def primaryConstructorNotFoundError(cls: Class[_]): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2021",
-      messageParameters = Map("cls" -> cls.toString()))
-  }
-
   def unsupportedNaturalJoinTypeError(joinType: JoinType): SparkException = {
     SparkException.internalError(
       s"Unsupported natural join type ${joinType.toString}")
@@ -526,12 +520,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       messageParameters = Map("op" -> op.toString(), "pos" -> pos))
   }
 
-  def unreachableError(err: String = ""): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2028",
-      messageParameters = Map("err" -> err))
-  }
-
   def unsupportedRoundingMode(roundMode: BigDecimal.RoundingMode.Value): SparkException = {
     DataTypeErrors.unsupportedRoundingMode(roundMode)
   }
@@ -1446,37 +1434,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       messageParameters = Map.empty)
   }
 
-  def cannotHaveCircularReferencesInBeanClassError(
-      clazz: Class[_]): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2138",
-      messageParameters = Map("clazz" -> clazz.toString()))
-  }
-
-  def cannotHaveCircularReferencesInClassError(t: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2139",
-      messageParameters = Map("t" -> t))
-  }
-
-  def cannotUseInvalidJavaIdentifierAsFieldNameError(
-      fieldName: String, walkedTypePath: WalkedTypePath): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2140",
-      messageParameters = Map(
-        "fieldName" -> fieldName,
-        "walkedTypePath" -> walkedTypePath.toString()))
-  }
-
-  def cannotFindEncoderForTypeError(
-      typeName: String, docroot: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "ENCODER_NOT_FOUND",
-      messageParameters = Map(
-        "typeName" -> typeName,
-        "docroot" -> docroot))
-  }
-
   def attributesForTypeUnsupportedError(schema: Schema): SparkUnsupportedOperationException = {
     new SparkUnsupportedOperationException(
       errorClass = "_LEGACY_ERROR_TEMP_2142",
@@ -1484,13 +1441,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
         "schema" -> schema.toString()))
   }
 
-  def cannotFindConstructorForTypeError(tpe: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2144",
-      messageParameters = Map(
-        "tpe" -> tpe))
-  }
-
   def paramExceedOneCharError(paramName: String): SparkRuntimeException = {
     new SparkRuntimeException(
       errorClass = "_LEGACY_ERROR_TEMP_2145",
@@ -1569,14 +1519,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
         "innerCls" -> innerCls.getName))
   }
 
-  def userDefinedTypeNotAnnotatedAndRegisteredError(udt: UserDefinedType[_]): Throwable = {
-    new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2155",
-      messageParameters = Map(
-        "userClass" -> udt.userClass.getName),
-      cause = null)
-  }
-
   def unsupportedOperandTypeForSizeFunctionError(
       dataType: DataType): SparkUnsupportedOperationException = {
     new SparkUnsupportedOperationException(
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 00bb6f77ef339..d4987e3443f53 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4727,7 +4727,7 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
   def streamingSessionWindowMergeSessionInLocalPartition: Boolean =
     getConf(STREAMING_SESSION_WINDOW_MERGE_SESSIONS_IN_LOCAL_PARTITION)
 
-  def datetimeJava8ApiEnabled: Boolean = getConf(DATETIME_JAVA8API_ENABLED)
+  override def datetimeJava8ApiEnabled: Boolean = getConf(DATETIME_JAVA8API_ENABLED)
 
   def uiExplainMode: String = getConf(UI_EXPLAIN_MODE)
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/CalendarIntervalBenchmark.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/CalendarIntervalBenchmark.scala
index f9ab74557787c..043e2b0137862 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/CalendarIntervalBenchmark.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/CalendarIntervalBenchmark.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql
 
 import org.apache.spark.benchmark.{Benchmark, BenchmarkBase}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.UnsafeProjection
 import org.apache.spark.sql.types.{CalendarIntervalType, DataType, StructType}
 import org.apache.spark.unsafe.types.CalendarInterval
@@ -44,7 +44,7 @@ object CalendarIntervalBenchmark extends BenchmarkBase {
     assert(schema.head.dataType.isInstanceOf[CalendarIntervalType])
     runBenchmark(name) {
       val generator = RandomDataGenerator.forType(schema, nullable = false).get
-      val toRow = RowEncoder(schema).createSerializer()
+      val toRow = ExpressionEncoder(schema).createSerializer()
       val intervals =
         (1 to numRows).map(_ => toRow(generator().asInstanceOf[Row]).copy().getInterval(0))
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/HashBenchmark.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/HashBenchmark.scala
index 13ab7e2a705f8..e515b771c96c6 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/HashBenchmark.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/HashBenchmark.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql
 
 import org.apache.spark.benchmark.{Benchmark, BenchmarkBase}
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
@@ -42,7 +42,7 @@ object HashBenchmark extends BenchmarkBase {
   def test(name: String, schema: StructType, numRows: Int, iters: Int): Unit = {
     runBenchmark(name) {
       val generator = RandomDataGenerator.forType(schema, nullable = false).get
-      val toRow = RowEncoder(schema).createSerializer()
+      val toRow = ExpressionEncoder(schema).createSerializer()
       val attrs = DataTypeUtils.toAttributes(schema)
       val safeProjection = GenerateSafeProjection.generate(attrs, attrs)
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/UnsafeProjectionBenchmark.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/UnsafeProjectionBenchmark.scala
index b7704eb211f9b..186ae44a10849 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/UnsafeProjectionBenchmark.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/UnsafeProjectionBenchmark.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql
 
 import org.apache.spark.benchmark.{Benchmark, BenchmarkBase}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.UnsafeProjection
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.types._
@@ -39,7 +39,7 @@ object UnsafeProjectionBenchmark extends BenchmarkBase {
 
   def generateRows(schema: StructType, numRows: Int): Array[InternalRow] = {
     val generator = RandomDataGenerator.forType(schema, nullable = false).get
-    val toRow = RowEncoder(schema).createSerializer()
+    val toRow = ExpressionEncoder(schema).createSerializer()
     (1 to numRows).map(_ => toRow(generator().asInstanceOf[Row]).copy()).toArray
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala
index b133b38a559a8..b82760d8eb18f 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala
@@ -151,7 +151,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
       .add("scala_decimal", DecimalType.SYSTEM_DEFAULT)
       .add("catalyst_decimal", DecimalType.SYSTEM_DEFAULT)
 
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
 
     val javaDecimal = new java.math.BigDecimal("1234.5678")
     val scalaDecimal = BigDecimal("1234.5678")
@@ -167,7 +167,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
 
   test("RowEncoder should preserve decimal precision and scale") {
     val schema = new StructType().add("decimal", DecimalType(10, 5), false)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val decimal = Decimal("67123.45")
     val input = Row(decimal)
     val row = toRow(encoder, input)
@@ -183,7 +183,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
 
   private def testDecimalOverflow(schema: StructType, row: Row): Unit = {
     withSQLConf(SQLConf.ANSI_ENABLED.key -> "true") {
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       intercept[Exception] {
         toRow(encoder, row)
       } match {
@@ -196,14 +196,14 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
     }
 
     withSQLConf(SQLConf.ANSI_ENABLED.key -> "false") {
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       assert(roundTrip(encoder, row).get(0) == null)
     }
   }
 
   test("RowEncoder should preserve schema nullability") {
     val schema = new StructType().add("int", IntegerType, nullable = false)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     assert(encoder.serializer.length == 1)
     assert(encoder.serializer.head.dataType == IntegerType)
     assert(encoder.serializer.head.nullable == false)
@@ -219,7 +219,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
           new StructType().add("int", IntegerType, nullable = false),
           nullable = false),
       nullable = false)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     assert(encoder.serializer.length == 1)
     assert(encoder.serializer.head.dataType ==
       new StructType()
@@ -240,7 +240,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
       .add("longPrimitiveArray", ArrayType(LongType, false))
       .add("floatPrimitiveArray", ArrayType(FloatType, false))
       .add("doublePrimitiveArray", ArrayType(DoubleType, false))
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val input = Seq(
       Array(true, false),
       Array(1.toByte, 64.toByte, Byte.MaxValue),
@@ -261,7 +261,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
       .add("array", ArrayType(IntegerType))
       .add("nestedArray", ArrayType(ArrayType(StringType)))
       .add("deepNestedArray", ArrayType(ArrayType(ArrayType(LongType))))
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val input = Row(
       Array(1, 2, null),
       Array(Array("abc", null), null),
@@ -274,7 +274,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
 
   test("RowEncoder should throw RuntimeException if input row object is null") {
     val schema = new StructType().add("int", IntegerType)
-    val encoder = RowEncoder(schema)
+    val encoder = ExpressionEncoder(schema)
     val e = intercept[RuntimeException](toRow(encoder, null))
     assert(e.getMessage.contains("Null value appeared in non-nullable field"))
     assert(e.getMessage.contains("top level Product or row object"))
@@ -283,14 +283,14 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
   test("RowEncoder should validate external type") {
     val e1 = intercept[RuntimeException] {
       val schema = new StructType().add("a", IntegerType)
-      val encoder = RowEncoder(schema)
+      val encoder = ExpressionEncoder(schema)
       toRow(encoder, Row(1.toShort))
     }
     assert(e1.getMessage.contains("java.lang.Short is not a valid external type"))
 
     val e2 = intercept[RuntimeException] {
       val schema = new StructType().add("a", StringType)
-      val encoder = RowEncoder(schema)
+      val encoder = ExpressionEncoder(schema)
       toRow(encoder, Row(1))
     }
     assert(e2.getMessage.contains("java.lang.Integer is not a valid external type"))
@@ -298,14 +298,14 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
     val e3 = intercept[RuntimeException] {
       val schema = new StructType().add("a",
         new StructType().add("b", IntegerType).add("c", StringType))
-      val encoder = RowEncoder(schema)
+      val encoder = ExpressionEncoder(schema)
       toRow(encoder, Row(1 -> "a"))
     }
     assert(e3.getMessage.contains("scala.Tuple2 is not a valid external type"))
 
     val e4 = intercept[RuntimeException] {
       val schema = new StructType().add("a", ArrayType(TimestampType))
-      val encoder = RowEncoder(schema)
+      val encoder = ExpressionEncoder(schema)
       toRow(encoder, Row(Array("a")))
     }
     assert(e4.getMessage.contains("java.lang.String is not a valid external type"))
@@ -314,7 +314,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
   private def roundTripArray[T](dt: DataType, nullable: Boolean, data: Array[T]): Unit = {
     val schema = new StructType().add("a", ArrayType(dt, nullable))
     test(s"RowEncoder should return WrappedArray with properly typed array for $schema") {
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val result = fromRow(encoder, toRow(encoder, Row(data))).getAs[mutable.WrappedArray[_]](0)
       assert(result.array.getClass === data.getClass)
       assert(result === data)
@@ -328,14 +328,14 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
     val udtSQLType = new StructType().add("a", IntegerType)
     val pythonUDT = new PythonUserDefinedType(udtSQLType, "pyUDT", "serializedPyClass")
     val schema = new StructType().add("pythonUDT", pythonUDT, true)
-    val encoder = RowEncoder(schema)
+    val encoder = ExpressionEncoder(schema)
     assert(encoder.serializer(0).dataType == pythonUDT.sqlType)
   }
 
   test("encoding/decoding TimestampType to/from java.time.Instant") {
     withSQLConf(SQLConf.DATETIME_JAVA8API_ENABLED.key -> "true") {
       val schema = new StructType().add("t", TimestampType)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val instant = java.time.Instant.parse("2019-02-26T16:56:00Z")
       val row = toRow(encoder, Row(instant))
       assert(row.getLong(0) === DateTimeUtils.instantToMicros(instant))
@@ -346,7 +346,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
 
   test("SPARK-35664: encoding/decoding TimestampNTZType to/from java.time.LocalDateTime") {
     val schema = new StructType().add("t", TimestampNTZType)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val localDateTime = java.time.LocalDateTime.parse("2019-02-26T16:56:00")
     val row = toRow(encoder, Row(localDateTime))
     assert(row.getLong(0) === DateTimeUtils.localDateTimeToMicros(localDateTime))
@@ -357,7 +357,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
   test("encoding/decoding DateType to/from java.time.LocalDate") {
     withSQLConf(SQLConf.DATETIME_JAVA8API_ENABLED.key -> "true") {
       val schema = new StructType().add("d", DateType)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val localDate = java.time.LocalDate.parse("2019-02-27")
       val row = toRow(encoder, Row(localDate))
       assert(row.getInt(0) === DateTimeUtils.localDateToDays(localDate))
@@ -369,7 +369,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
   test("SPARK-34605: encoding/decoding DayTimeIntervalType to/from java.time.Duration") {
     dayTimeIntervalTypes.foreach { dayTimeIntervalType =>
       val schema = new StructType().add("d", dayTimeIntervalType)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val duration = java.time.Duration.ofDays(1)
       val row = toRow(encoder, Row(duration))
       assert(row.getLong(0) === IntervalUtils.durationToMicros(duration))
@@ -381,7 +381,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
   test("SPARK-34615: encoding/decoding YearMonthIntervalType to/from java.time.Period") {
     yearMonthIntervalTypes.foreach { yearMonthIntervalType =>
       val schema = new StructType().add("p", yearMonthIntervalType)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val period = java.time.Period.ofMonths(1)
       val row = toRow(encoder, Row(period))
       assert(row.getInt(0) === IntervalUtils.periodToMonths(period))
@@ -398,7 +398,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
     test("RowEncoder should preserve array nullability: " +
       s"ArrayType($elementType, containsNull = $containsNull), nullable = $nullable") {
       val schema = new StructType().add("array", ArrayType(elementType, containsNull), nullable)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       assert(encoder.serializer.length == 1)
       assert(encoder.serializer.head.dataType == ArrayType(elementType, containsNull))
       assert(encoder.serializer.head.nullable == nullable)
@@ -416,7 +416,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
       s"nullable = $nullable") {
       val schema = new StructType().add(
         "map", MapType(keyType, valueType, valueContainsNull), nullable)
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       assert(encoder.serializer.length == 1)
       assert(encoder.serializer.head.dataType == MapType(keyType, valueType, valueContainsNull))
       assert(encoder.serializer.head.nullable == nullable)
@@ -427,7 +427,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
     test(s"encode/decode: ${schema.simpleString}") {
       Seq(false, true).foreach { java8Api =>
         withSQLConf(SQLConf.DATETIME_JAVA8API_ENABLED.key -> java8Api.toString) {
-          val encoder = RowEncoder(schema).resolveAndBind()
+          val encoder = ExpressionEncoder(schema).resolveAndBind()
           val inputGenerator = RandomDataGenerator.forType(schema, nullable = false).get
 
           var input: Row = null
@@ -458,7 +458,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
           .add("t1", TimestampType)
           .add("d0", DateType)
           .add("d1", DateType)
-        val encoder = RowEncoder(schema, lenient = true).resolveAndBind()
+        val encoder = ExpressionEncoder(schema, lenient = true).resolveAndBind()
         val instant = java.time.Instant.parse("2019-02-26T16:56:00Z")
         val ld = java.time.LocalDate.parse("2022-03-08")
         val row = encoder.createSerializer().apply(
@@ -478,7 +478,7 @@ class RowEncoderSuite extends CodegenInterpretedPlanTest {
       .add("headers", ArrayType(new StructType()
         .add("key", StringType)
         .add("value", BinaryType)))
-    val encoder = RowEncoder(schema, lenient = true).resolveAndBind()
+    val encoder = ExpressionEncoder(schema, lenient = true).resolveAndBind()
     val data = Row(mutable.WrappedArray.make(Array(Row("key", "value".getBytes))))
     val row = encoder.createSerializer()(data)
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/HashExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/HashExpressionsSuite.scala
index 5897dee5a4da2..6f5f22a84bad8 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/HashExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/HashExpressionsSuite.scala
@@ -29,7 +29,7 @@ import org.scalatest.exceptions.TestFailedException
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.{RandomDataGenerator, Row}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.{ExamplePointUDT, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.{ExamplePointUDT, ExpressionEncoder}
 import org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection
 import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, DateTimeUtils, GenericArrayData, IntervalUtils}
 import org.apache.spark.sql.types.{ArrayType, StructType, _}
@@ -731,7 +731,7 @@ class HashExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
 
   private def testHash(inputSchema: StructType): Unit = {
     val inputGenerator = RandomDataGenerator.forType(inputSchema, nullable = false).get
-    val toRow = RowEncoder(inputSchema).createSerializer()
+    val toRow = ExpressionEncoder(inputSchema).createSerializer()
     val seed = scala.util.Random.nextInt()
     test(s"murmur3/xxHash64/hive hash: ${inputSchema.simpleString}") {
       for (_ <- 1 to 10) {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
index 73da5f4d3af55..3a662e68d58c2 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
@@ -483,7 +483,7 @@ class ObjectExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     testTypes.foreach { dt =>
       genSchema(dt).map { schema =>
         val row = RandomDataGenerator.randomRow(random, schema)
-        val toRow = RowEncoder(schema).createSerializer()
+        val toRow = ExpressionEncoder(schema).createSerializer()
         val internalRow = toRow(row)
         val lambda = LambdaVariable("dummy", schema(0).dataType, schema(0).nullable, id = 0)
         checkEvaluationWithoutCodegen(lambda, internalRow.get(0, schema(0).dataType), internalRow)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ObjectSerializerPruningSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ObjectSerializerPruningSuite.scala
index 3dd58dc9fc15a..a1039b051ce45 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ObjectSerializerPruningSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ObjectSerializerPruningSuite.scala
@@ -22,7 +22,7 @@ import scala.reflect.runtime.universe.TypeTag
 
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.catalyst.plans.PlanTest
@@ -115,7 +115,7 @@ class ObjectSerializerPruningSuite extends PlanTest {
   test("SPARK-32652: Prune nested serializers: RowEncoder") {
     withSQLConf(SQLConf.SERIALIZER_NESTED_SCHEMA_PRUNING_ENABLED.key -> "true") {
       val testRelation = LocalRelation($"i".struct(StructType.fromDDL("a int, b string")), $"j".int)
-      val rowEncoder = RowEncoder(new StructType()
+      val rowEncoder = ExpressionEncoder(new StructType()
         .add("i", new StructType().add("a", "int").add("b", "string"))
         .add("j", "int"))
       val serializerObject = CatalystSerde.serialize(
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayDataIndexedSeqSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayDataIndexedSeqSuite.scala
index b015829e67259..50667c5df8c67 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayDataIndexedSeqSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayDataIndexedSeqSuite.scala
@@ -21,7 +21,7 @@ import scala.util.Random
 
 import org.apache.spark.{SparkException, SparkFunSuite}
 import org.apache.spark.sql.RandomDataGenerator
-import org.apache.spark.sql.catalyst.encoders.{ExamplePointUDT, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.{ExamplePointUDT, ExpressionEncoder}
 import org.apache.spark.sql.catalyst.expressions.{SafeProjection, UnsafeProjection}
 import org.apache.spark.sql.types._
 
@@ -75,7 +75,7 @@ class ArrayDataIndexedSeqSuite extends SparkFunSuite {
     arrayTypes.foreach { dt =>
       val schema = StructType(StructField("col_1", dt, nullable = false) :: Nil)
       val row = RandomDataGenerator.randomRow(random, schema)
-      val toRow = RowEncoder(schema).createSerializer()
+      val toRow = ExpressionEncoder(schema).createSerializer()
       val internalRow = toRow(row)
 
       val unsafeRowConverter = UnsafeProjection.create(schema)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
index 34e133095d6d6..1801094f6d61c 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
@@ -24,7 +24,7 @@ import scala.reflect.runtime.universe.TypeTag
 import org.apache.spark.{SparkConf, SparkFunSuite}
 import org.apache.spark.serializer.{JavaSerializer, KryoSerializer}
 import org.apache.spark.sql.Row
-import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.UnsafeArrayData
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.Platform
@@ -128,7 +128,7 @@ class UnsafeArraySuite extends SparkFunSuite {
       val decimal = decimalArray(0)
       val schema = new StructType().add(
         "array", ArrayType(DecimalType(decimal.precision, decimal.scale)))
-      val encoder = RowEncoder(schema).resolveAndBind()
+      val encoder = ExpressionEncoder(schema).resolveAndBind()
       val externalRow = Row(decimalArray)
       val ir = encoder.createSerializer().apply(externalRow)
 
@@ -141,7 +141,7 @@ class UnsafeArraySuite extends SparkFunSuite {
     }
 
     val schema = new StructType().add("array", ArrayType(CalendarIntervalType))
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val externalRow = Row(calendarintervalArray)
     val ir = encoder.createSerializer().apply(externalRow)
     val unsafeCalendar = ir.getArray(0)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index 7eef2e9bbac8f..7b2259a6d9945 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -90,7 +90,7 @@ private[sql] object Dataset {
     sparkSession.withActive {
       val qe = sparkSession.sessionState.executePlan(logicalPlan)
       qe.assertAnalyzed()
-      new Dataset[Row](qe, RowEncoder(qe.analyzed.schema))
+      new Dataset[Row](qe, ExpressionEncoder(qe.analyzed.schema))
   }
 
   /** A variant of ofRows that allows passing in a tracker so we can track query parsing time. */
@@ -98,7 +98,7 @@ private[sql] object Dataset {
     : DataFrame = sparkSession.withActive {
     val qe = new QueryExecution(sparkSession, logicalPlan, tracker)
     qe.assertAnalyzed()
-    new Dataset[Row](qe, RowEncoder(qe.analyzed.schema))
+    new Dataset[Row](qe, ExpressionEncoder(qe.analyzed.schema))
   }
 }
 
@@ -464,7 +464,7 @@ class Dataset[T] private[sql](
    */
   // This is declared with parentheses to prevent the Scala compiler from treating
   // `ds.toDF("1")` as invoking this toDF and then apply on the returned DataFrame.
-  def toDF(): DataFrame = new Dataset[Row](queryExecution, RowEncoder(schema))
+  def toDF(): DataFrame = new Dataset[Row](queryExecution, ExpressionEncoder(schema))
 
   /**
    * Returns a new Dataset where each record has been mapped on to the specified type. The
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala b/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 1cf122eaa681f..27ae10b3d59e3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -360,7 +360,7 @@ class SparkSession private(
     val replaced = CharVarcharUtils.failIfHasCharVarchar(schema).asInstanceOf[StructType]
     // TODO: use MutableProjection when rowRDD is another DataFrame and the applied
     // schema differs from the existing schema on any field data type.
-    val encoder = RowEncoder(replaced)
+    val encoder = ExpressionEncoder(replaced)
     val toRow = encoder.createSerializer()
     val catalystRows = rowRDD.map(toRow)
     internalCreateDataFrame(catalystRows.setName(rowRDD.name), schema)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
index 5c93c72e36d62..903565a6d591b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
@@ -22,7 +22,7 @@ import java.util.Locale
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{execution, AnalysisException, Strategy}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide, JoinSelectionHelper, NormalizeFloatingNumbers}
@@ -776,7 +776,7 @@ abstract class SparkStrategies extends QueryPlanner[SparkPlan] {
       case r: RunnableCommand => ExecutedCommandExec(r) :: Nil
 
       case MemoryPlan(sink, output) =>
-        val encoder = RowEncoder(DataTypeUtils.fromAttributes(output))
+        val encoder = ExpressionEncoder(DataTypeUtils.fromAttributes(output))
         val toRow = encoder.createSerializer()
         LocalTableScanExec(output, sink.allData.map(r => toRow(r).copy())) :: Nil
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 3ddb897f7082c..5e6e0ad039258 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow, Quali
 import org.apache.spark.sql.catalyst.CatalystTypeConverters.convertToScala
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.catalog._
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
@@ -742,7 +742,7 @@ object DataSourceStrategy
       rdd: RDD[Row]): RDD[InternalRow] = {
     if (relation.needConversion) {
       val toRow =
-        RowEncoder(DataTypeUtils.fromAttributes(output), lenient = true).createSerializer()
+        ExpressionEncoder(DataTypeUtils.fromAttributes(output), lenient = true).createSerializer()
       rdd.mapPartitions { iterator =>
         iterator.map(toRow)
       }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index 3335f21a0d3de..daeecaeb90a52 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -34,7 +34,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{DataFrame, Row}
 import org.apache.spark.sql.catalyst.{InternalRow, SQLConfHelper}
 import org.apache.spark.sql.catalyst.analysis.Resolver
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, CharVarcharUtils, DateTimeUtils, GenericArrayData}
@@ -327,7 +327,7 @@ object JdbcUtils extends Logging with SQLConfHelper {
       dialect: JdbcDialect): Iterator[Row] = {
     val inputMetrics =
       Option(TaskContext.get()).map(_.taskMetrics().inputMetrics).getOrElse(new InputMetrics)
-    val fromRow = RowEncoder(schema).resolveAndBind().createDeserializer()
+    val fromRow = ExpressionEncoder(schema).resolveAndBind().createDeserializer()
     val internalRows = resultSetToSparkInternalRows(resultSet, dialect, schema, inputMetrics)
     internalRows.map(fromRow)
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
index 42ad83c9821bc..7a6db856692e7 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2CommandExec.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.execution.datasources.v2
 
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{AttributeSet, GenericRowWithSchema}
 import org.apache.spark.sql.catalyst.trees.LeafLike
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
@@ -65,7 +65,7 @@ abstract class V2CommandExec extends SparkPlan {
   }
 
   private lazy val rowSerializer = {
-    RowEncoder(DataTypeUtils.fromAttributes(output)).resolveAndBind().createSerializer()
+    ExpressionEncoder(DataTypeUtils.fromAttributes(output)).resolveAndBind().createSerializer()
   }
 }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
index b05a2d130d3d0..32d010b00d0fb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasWithStateExec.scala
@@ -20,7 +20,7 @@ import org.apache.spark.{JobArtifactSet, TaskContext}
 import org.apache.spark.api.python.{ChainedPythonFunctions, PythonEvalType}
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.{EventTimeTimeout, ProcessingTimeTimeout}
 import org.apache.spark.sql.catalyst.plans.physical.Distribution
@@ -75,7 +75,7 @@ case class FlatMapGroupsInPandasWithStateExec(
   private[this] val jobArtifactUUID = JobArtifactSet.getCurrentJobArtifactState.map(_.uuid)
 
   override protected val stateEncoder: ExpressionEncoder[Any] =
-    RowEncoder(stateType).resolveAndBind().asInstanceOf[ExpressionEncoder[Any]]
+    ExpressionEncoder(stateType).resolveAndBind().asInstanceOf[ExpressionEncoder[Any]]
 
   override def output: Seq[Attribute] = outAttributes
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala
index 691cea9edde0d..010ac75a73dad 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala
@@ -21,7 +21,7 @@ import scala.collection.mutable.{Map => MutableMap}
 import scala.collection.mutable
 
 import org.apache.spark.sql.{Dataset, SparkSession}
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, CurrentBatchTimestamp, CurrentDate, CurrentTimestamp, FileSourceMetadataAttribute, LocalTimestamp}
 import org.apache.spark.sql.catalyst.plans.logical.{LeafNode, LocalRelation, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.streaming.{StreamingRelationV2, WriteToStream}
@@ -723,7 +723,7 @@ class MicroBatchExecution(
     markMicroBatchExecutionStart()
 
     val nextBatch =
-      new Dataset(lastExecution, RowEncoder(lastExecution.analyzed.schema))
+      new Dataset(lastExecution, ExpressionEncoder(lastExecution.analyzed.schema))
 
     val batchSinkProgress: Option[StreamWriterCommitProgress] = reportTimeTaken("addBatch") {
       SQLExecution.withNewExecutionId(lastExecution) {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/sources/memory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/sources/memory.scala
index 27a39bccfdd35..93ee615291f65 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/sources/memory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/sources/memory.scala
@@ -27,7 +27,7 @@ import scala.util.control.NonFatal
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.Attribute
 import org.apache.spark.sql.catalyst.plans.logical.{LeafNode, Statistics}
 import org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils
@@ -179,7 +179,7 @@ class MemoryDataWriter(partition: Int, schema: StructType)
 
   private val data = mutable.Buffer[Row]()
 
-  private val fromRow = RowEncoder(schema).resolveAndBind().createDeserializer()
+  private val fromRow = ExpressionEncoder(schema).resolveAndBind().createDeserializer()
 
   override def write(row: InternalRow): Unit = {
     data.append(fromRow(row))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
index c988068227097..1ac1dda374fa7 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
@@ -21,7 +21,7 @@ import java.time.LocalDateTime
 
 import org.scalatest.BeforeAndAfterEach
 
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GreaterThan}
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Expand, Filter, LogicalPlan, Project}
 import org.apache.spark.sql.functions._
@@ -480,7 +480,7 @@ class DataFrameSessionWindowingSuite extends QueryTest with SharedSparkSession
       df <- Seq(df1, df2)
       nullable <- Seq(true, false)
     } {
-      val dfWithDesiredNullability = new DataFrame(df.queryExecution, RowEncoder(
+      val dfWithDesiredNullability = new DataFrame(df.queryExecution, ExpressionEncoder(
         StructType(df.schema.fields.map(_.copy(nullable = nullable)))))
       // session window without dynamic gap
       val windowedProject = dfWithDesiredNullability
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 39db165148cdd..e1c355dc019c1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -34,7 +34,7 @@ import org.apache.spark.api.python.PythonEvalType
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobEnd}
 import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.MultiInstanceRelation
-import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, AttributeReference, EqualTo, ExpressionSet, GreaterThan, Literal, PythonUDF, Uuid}
 import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -2888,7 +2888,7 @@ class DataFrameSuite extends QueryTest
     val df2 = Seq((1, 2, 4), (2, 3, 5)).toDF("a", "b", "c")
       .repartition($"a", $"b").sortWithinPartitions("a", "b")
 
-    implicit val valueEncoder = RowEncoder(df1.schema)
+    implicit val valueEncoder = ExpressionEncoder(df1.schema)
 
     val df3 = df1.groupBy("a", "b").as[GroupByKey, Row]
       .cogroup(df2.groupBy("a", "b").as[GroupByKey, Row]) { case (_, data1, data2) =>
@@ -2912,7 +2912,7 @@ class DataFrameSuite extends QueryTest
     val df2 = Seq((1, 2, 4), (2, 3, 5)).toDF("a1", "b", "c")
       .repartition($"a1", $"b").sortWithinPartitions("a1", "b")
 
-    implicit val valueEncoder = RowEncoder(df1.schema)
+    implicit val valueEncoder = ExpressionEncoder(df1.schema)
 
     val groupedDataset1 = df1.groupBy(($"a1" + 1).as("a"), $"b").as[GroupByKey, Row]
     val groupedDataset2 = df2.groupBy(($"a1" + 1).as("a"), $"b").as[GroupByKey, Row]
@@ -2930,7 +2930,7 @@ class DataFrameSuite extends QueryTest
   test("groupBy.as: throw AnalysisException for unresolved grouping expr") {
     val df = Seq((1, 2, 3), (2, 3, 4)).toDF("a", "b", "c")
 
-    implicit val valueEncoder = RowEncoder(df.schema)
+    implicit val valueEncoder = ExpressionEncoder(df.schema)
 
     checkError(
       exception = intercept[AnalysisException] {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
index 367cdbe84472f..6ee173bc6af67 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql
 
 import java.time.LocalDateTime
 
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.AttributeReference
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Expand, Filter}
 import org.apache.spark.sql.functions._
@@ -595,7 +595,7 @@ class DataFrameTimeWindowingSuite extends QueryTest with SharedSparkSession {
       df <- Seq(df1, df2)
       nullable <- Seq(true, false)
     } {
-      val dfWithDesiredNullability = new DataFrame(df.queryExecution, RowEncoder(
+      val dfWithDesiredNullability = new DataFrame(df.queryExecution, ExpressionEncoder(
         StructType(df.schema.fields.map(_.copy(nullable = nullable)))))
       // tumbling windows
       val windowedProject = dfWithDesiredNullability
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetOptimizationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetOptimizationSuite.scala
index 5b8c80b471bb4..81d7de856f881 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetOptimizationSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetOptimizationSuite.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql
 
 import org.apache.spark.metrics.source.CodegenMetrics
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{CreateNamedStruct, Expression}
 import org.apache.spark.sql.catalyst.plans.logical.SerializeFromObject
 import org.apache.spark.sql.functions._
@@ -199,7 +199,7 @@ class DatasetOptimizationSuite extends QueryTest with SharedSparkSession {
 
   test("SPARK-32652: Pruned nested serializers: RowEncoder") {
     val df = Seq(("a", 1), ("b", 2), ("c", 3)).toDF("i", "j")
-    val encoder = RowEncoder(new StructType().add("s", df.schema))
+    val encoder = ExpressionEncoder(new StructType().add("s", df.schema))
     val query = df.map(row => Row(row))(encoder).select("s.i")
     testSerializer(query, Seq(Seq("i")))
     checkAnswer(query, Seq(Row("a"), Row("b"), Row("c")))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index c09c6d18b665c..a021b049cf03c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -32,7 +32,7 @@ import org.apache.spark.TestUtils.withListener
 import org.apache.spark.internal.config.MAX_RESULT_SIZE
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
 import org.apache.spark.sql.catalyst.{FooClassWithEnum, FooEnum, ScroogeLikeExample}
-import org.apache.spark.sql.catalyst.encoders.{OuterScopes, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, OuterScopes}
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.catalyst.plans.{LeftAnti, LeftSemi}
 import org.apache.spark.sql.catalyst.util.sideBySide
@@ -1322,7 +1322,7 @@ class DatasetSuite extends QueryTest
       } else {
         Row(l)
       }
-    })(RowEncoder(schema))
+    })(ExpressionEncoder(schema))
 
     val message = intercept[Exception] {
       df.collect()
@@ -1375,7 +1375,7 @@ class DatasetSuite extends QueryTest
 
   test("SPARK-15381: physical object operator should define `reference` correctly") {
     val df = Seq(1 -> 2).toDF("a", "b")
-    checkAnswer(df.map(row => row)(RowEncoder(df.schema)).select("b", "a"), Row(2, 1))
+    checkAnswer(df.map(row => row)(ExpressionEncoder(df.schema)).select("b", "a"), Row(2, 1))
   }
 
   private def checkShowString[T](ds: Dataset[T], expected: String): Unit = {
@@ -2157,7 +2157,7 @@ class DatasetSuite extends QueryTest
 
   test("SPARK-26233: serializer should enforce decimal precision and scale") {
     val s = StructType(Seq(StructField("a", StringType), StructField("b", DecimalType(38, 8))))
-    val encoder = RowEncoder(s)
+    val encoder = ExpressionEncoder(s)
     implicit val uEnc = encoder
     val df = spark.range(2).map(l => Row(l.toString, BigDecimal.valueOf(l + 0.1111)))
     checkAnswer(df.groupBy(col("a")).agg(first(col("b"))),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/GroupedIteratorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/GroupedIteratorSuite.scala
index 8b27a98e2b9f8..1cb35d303a533 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/GroupedIteratorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/GroupedIteratorSuite.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.execution
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.dsl.expressions._
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.types.{IntegerType, LongType, StringType, StructType}
 
@@ -28,7 +28,7 @@ class GroupedIteratorSuite extends SparkFunSuite {
 
   test("basic") {
     val schema = new StructType().add("i", IntegerType).add("s", StringType)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val toRow = encoder.createSerializer()
     val fromRow = encoder.createDeserializer()
     val input = Seq(Row(1, "a"), Row(1, "b"), Row(2, "c"))
@@ -48,7 +48,7 @@ class GroupedIteratorSuite extends SparkFunSuite {
 
   test("group by 2 columns") {
     val schema = new StructType().add("i", IntegerType).add("l", LongType).add("s", StringType)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val toRow = encoder.createSerializer()
     val fromRow = encoder.createDeserializer()
 
@@ -77,7 +77,7 @@ class GroupedIteratorSuite extends SparkFunSuite {
 
   test("do nothing to the value iterator") {
     val schema = new StructType().add("i", IntegerType).add("s", StringType)
-    val encoder = RowEncoder(schema).resolveAndBind()
+    val encoder = ExpressionEncoder(schema).resolveAndBind()
     val toRow = encoder.createSerializer()
     val input = Seq(Row(1, "a"), Row(1, "b"), Row(2, "c"))
     val grouped = GroupedIterator(input.iterator.map(toRow),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
index 1d2e467c94c99..0b6fdef4f74ef 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
@@ -29,7 +29,7 @@ import org.mockito.Mockito.{mock, when}
 
 import org.apache.spark.SparkException
 import org.apache.spark.sql.{DataFrame, QueryTest, Row}
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.execution.datasources.PartitionedFile
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.internal.SQLConf.SOURCES_BINARY_FILE_MAX_LENGTH
@@ -306,7 +306,7 @@ class BinaryFileFormatSuite extends QueryTest with SharedSparkSession {
     )
     val partitionedFile = mock(classOf[PartitionedFile])
     when(partitionedFile.toPath).thenReturn(new Path(file.toURI))
-    val encoder = RowEncoder(requiredSchema).resolveAndBind()
+    val encoder = ExpressionEncoder(requiredSchema).resolveAndBind()
     encoder.createDeserializer().apply(reader(partitionedFile).next())
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/sources/ForeachBatchSinkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/sources/ForeachBatchSinkSuite.scala
index 9a0003e9e5caf..b92fa4cf3a11c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/sources/ForeachBatchSinkSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/sources/ForeachBatchSinkSuite.scala
@@ -21,7 +21,7 @@ import scala.collection.mutable
 import scala.language.implicitConversions
 
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.execution.SerializeFromObjectExec
 import org.apache.spark.sql.execution.streaming.MemoryStream
 import org.apache.spark.sql.functions._
@@ -49,7 +49,7 @@ class ForeachBatchSinkSuite extends StreamTest {
     val mem = MemoryStream[Int]
     val ds = mem.toDF.selectExpr("value + 1 as value")
 
-    val tester = new ForeachBatchTester[Row](mem)(RowEncoder.apply(ds.schema))
+    val tester = new ForeachBatchTester[Row](mem)(ExpressionEncoder(ds.schema))
     val writer = (df: DataFrame, batchId: Long) =>
       tester.record(batchId, df.selectExpr("value + 1"))
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
index a17788afc5a52..cb7995abcd092 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
@@ -32,7 +32,7 @@ import org.scalatest.time.SpanSugar._
 
 import org.apache.spark.SparkEnv
 import org.apache.spark.sql.{Dataset, Encoder, QueryTest, Row}
-import org.apache.spark.sql.catalyst.encoders.{encoderFor, ExpressionEncoder, RowEncoder}
+import org.apache.spark.sql.catalyst.encoders.{encoderFor, ExpressionEncoder}
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.plans.physical.AllTuples
 import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2
@@ -147,7 +147,7 @@ trait StreamTest extends QueryTest with SharedSparkSession with TimeLimits with
   private def createToExternalRowConverter[A : Encoder](): A => Row = {
     val encoder = encoderFor[A]
     val toInternalRow = encoder.createSerializer()
-    val toExternalRow = RowEncoder(encoder.schema).resolveAndBind().createDeserializer()
+    val toExternalRow = ExpressionEncoder(encoder.schema).resolveAndBind().createDeserializer()
     toExternalRow.compose(toInternalRow)
   }
 

From 5cb7d2b81af5e8c2714cccfb818f9ec9d6c54da3 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Wed, 26 Jul 2023 19:31:27 +0800
Subject: [PATCH 069/986] [SPARK-44154][SQL][FOLLOWUP] `BitmapCount` and
 `BitmapOrAgg` should use `DataTypeMismatch` to indicate unexpected input data
 type

### What changes were proposed in this pull request?

Change `BitmapCount` and `BitmapOrAgg` to use `DataTypeMismatch` rather than `TypeCheckResult.TypeCheckFailure` to indicate incorrect input types.

### Why are the changes needed?

It appears `TypeCheckResult.TypeCheckFailure` has been deprecated: No expressions except for the recently added `BitmapCount` and `BitmapOrAgg` are using it.

### Does this PR introduce _any_ user-facing change?

This PR changes an error message for two expressions that are not yet in any released version of Spark.

Before PR:
```
spark-sql (default)> select bitmap_count(12);
[DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT] Cannot resolve "bitmap_count(12)" due to data type mismatch: Bitmap must be a BinaryType.; line 1 pos 7;
'Project [unresolvedalias(bitmap_count(12), None)]
+- OneRowRelation

spark-sql (default)> select bitmap_or_agg(12);
[DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT] Cannot resolve "bitmap_or_agg(12)" due to data type mismatch: Bitmap must be a BinaryType.; line 1 pos 7;
'Aggregate [unresolvedalias(bitmap_or_agg(12, 0, 0), None)]
+- OneRowRelation
```
After PR:
```
spark-sql (default)> select bitmap_count(12);
[DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "bitmap_count(12)" due to data type mismatch: Parameter 0 requires the "BINARY" type, however "12" has the type "INT".; line 1 pos 7;
'Project [unresolvedalias(bitmap_count(12), None)]
+- OneRowRelation

spark-sql (default)> select bitmap_or_agg(12);
[DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "bitmap_or_agg(12)" due to data type mismatch: Parameter 0 requires the "BINARY" type, however "12" has the type "INT".; line 1 pos 7;
'Aggregate [unresolvedalias(bitmap_or_agg(12, 0, 0), None)]
+- OneRowRelation
```
### How was this patch tested?

New unit tests.

Closes #42139 from bersprockets/bitmap_type_check.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d0d4aab437843ce5adf5900d2d6088e79323f8d5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../expressions/bitmapExpressions.scala       | 26 +++++++++--
 .../sql/BitmapExpressionsQuerySuite.scala     | 44 +++++++++++++++++++
 2 files changed, 66 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
index 2adfddb9383e5..5c7ef5cde5b1a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitmapExpressions.scala
@@ -19,10 +19,12 @@ package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.{DataTypeMismatch, TypeCheckSuccess}
 import org.apache.spark.sql.catalyst.expressions.aggregate.ImperativeAggregate
 import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
 import org.apache.spark.sql.catalyst.trees.UnaryLike
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
+import org.apache.spark.sql.catalyst.util.TypeUtils._
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.types.{AbstractDataType, BinaryType, DataType, LongType, StructType}
 
@@ -111,9 +113,17 @@ case class BitmapCount(child: Expression)
 
   override def checkInputDataTypes(): TypeCheckResult = {
     if (child.dataType != BinaryType) {
-      TypeCheckResult.TypeCheckFailure("Bitmap must be a BinaryType")
+      DataTypeMismatch(
+        errorSubClass = "UNEXPECTED_INPUT_TYPE",
+        messageParameters = Map(
+          "paramIndex" -> "0",
+          "requiredType" -> toSQLType(BinaryType),
+          "inputSql" -> toSQLExpr(child),
+          "inputType" -> toSQLType(child.dataType)
+        )
+      )
     } else {
-      TypeCheckResult.TypeCheckSuccess
+      TypeCheckSuccess
     }
   }
 
@@ -248,9 +258,17 @@ case class BitmapOrAgg(child: Expression,
 
   override def checkInputDataTypes(): TypeCheckResult = {
     if (child.dataType != BinaryType) {
-      TypeCheckResult.TypeCheckFailure("Bitmap must be a BinaryType")
+      DataTypeMismatch(
+        errorSubClass = "UNEXPECTED_INPUT_TYPE",
+        messageParameters = Map(
+          "paramIndex" -> "0",
+          "requiredType" -> toSQLType(BinaryType),
+          "inputSql" -> toSQLExpr(child),
+          "inputType" -> toSQLType(child.dataType)
+        )
+      )
     } else {
-      TypeCheckResult.TypeCheckSuccess
+      TypeCheckSuccess
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/BitmapExpressionsQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/BitmapExpressionsQuerySuite.scala
index 6baca72a14ef4..74c744635ecc7 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/BitmapExpressionsQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/BitmapExpressionsQuerySuite.scala
@@ -207,4 +207,48 @@ class BitmapExpressionsQuerySuite extends QueryTest with SharedSparkSession {
       Seq(Row("700000"))
     )
   }
+
+  test("bitmap_count called with non-binary type") {
+    val df = Seq(12).toDF("a")
+    checkError(
+      exception = intercept[AnalysisException] {
+        df.selectExpr("bitmap_count(a)")
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
+      parameters = Map(
+        "sqlExpr" -> "\"bitmap_count(a)\"",
+        "paramIndex" -> "0",
+        "requiredType" -> "\"BINARY\"",
+        "inputSql" -> "\"a\"",
+        "inputType" -> "\"INT\""
+      ),
+      context = ExpectedContext(
+        fragment = "bitmap_count(a)",
+        start = 0,
+        stop = 14
+      )
+    )
+  }
+
+  test("bitmap_or_agg called with non-binary type") {
+    val df = Seq(12).toDF("a")
+    checkError(
+      exception = intercept[AnalysisException] {
+        df.selectExpr("bitmap_or_agg(a)")
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
+      parameters = Map(
+        "sqlExpr" -> "\"bitmap_or_agg(a)\"",
+        "paramIndex" -> "0",
+        "requiredType" -> "\"BINARY\"",
+        "inputSql" -> "\"a\"",
+        "inputType" -> "\"INT\""
+      ),
+      context = ExpectedContext(
+        fragment = "bitmap_or_agg(a)",
+        start = 0,
+        stop = 15
+      )
+    )
+  }
 }

From 43ac3db1e27a4169183a90b54b6a873f0d26a7ba Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Thu, 27 Jul 2023 08:53:45 +0900
Subject: [PATCH 070/986] [SPARK-44528][CONNECT] Support proper usage of
 hasattr() for Connect dataframe

### What changes were proposed in this pull request?
Currently Connect does not allow the proper usage of Python's `hasattr()` to identify if an attribute is defined or not. This patch fixes that bug (it's working in regular PySpark).

### Why are the changes needed?
Bugfix

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
UT

Closes #42132 from grundprinzip/SPARK-44528.

Lead-authored-by: Martin Grund <martin.grund@databricks.com>
Co-authored-by: Martin Grund <grundprinzip@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 91e97f92fe76f9718cd16af0c761d5530bdb37ee)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/dataframe.py       |  8 ++++++
 .../sql/tests/connect/test_connect_basic.py   | 17 +++++++++--
 python/pyspark/testing/connectutils.py        | 28 +++++++++++++++----
 3 files changed, 46 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 6429645f0e027..12e424b5ef137 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -1584,8 +1584,16 @@ def __getattr__(self, name: str) -> "Column":
                 error_class="NOT_IMPLEMENTED",
                 message_parameters={"feature": f"{name}()"},
             )
+
+        if name not in self.columns:
+            raise AttributeError(
+                "'%s' object has no attribute '%s'" % (self.__class__.__name__, name)
+            )
+
         return self[name]
 
+    __getattr__.__doc__ = PySparkDataFrame.__getattr__.__doc__
+
     @overload
     def __getitem__(self, item: Union[int, str]) -> Column:
         ...
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 5259ea6b5f520..065f1585a9f06 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -157,6 +157,19 @@ def spark_connect_clean_up_test_data(cls):
 
 
 class SparkConnectBasicTests(SparkConnectSQLTestCase):
+    def test_df_getattr_behavior(self):
+        cdf = self.connect.range(10)
+        sdf = self.spark.range(10)
+
+        sdf._simple_extension = 10
+        cdf._simple_extension = 10
+
+        self.assertEqual(sdf._simple_extension, cdf._simple_extension)
+        self.assertEqual(type(sdf._simple_extension), type(cdf._simple_extension))
+
+        self.assertTrue(hasattr(cdf, "_simple_extension"))
+        self.assertFalse(hasattr(cdf, "_simple_extension_does_not_exsit"))
+
     def test_df_get_item(self):
         # SPARK-41779: test __getitem__
 
@@ -1296,8 +1309,8 @@ def test_drop(self):
             sdf.drop("a", "x").toPandas(),
         )
         self.assert_eq(
-            cdf.drop(cdf.a, cdf.x).toPandas(),
-            sdf.drop("a", "x").toPandas(),
+            cdf.drop(cdf.a, "x").toPandas(),
+            sdf.drop(sdf.a, "x").toPandas(),
         )
 
     def test_subquery_alias(self) -> None:
diff --git a/python/pyspark/testing/connectutils.py b/python/pyspark/testing/connectutils.py
index 1b3ac10fce874..b6145d0a00618 100644
--- a/python/pyspark/testing/connectutils.py
+++ b/python/pyspark/testing/connectutils.py
@@ -16,6 +16,7 @@
 #
 import shutil
 import tempfile
+import types
 import typing
 import os
 import functools
@@ -67,7 +68,7 @@
 
 if should_test_connect:
     from pyspark.sql.connect.dataframe import DataFrame
-    from pyspark.sql.connect.plan import Read, Range, SQL
+    from pyspark.sql.connect.plan import Read, Range, SQL, LogicalPlan
     from pyspark.sql.connect.session import SparkSession
 
 
@@ -88,16 +89,33 @@ def __getattr__(self, item):
         return functools.partial(self.hooks[item])
 
 
+class MockDF(DataFrame):
+    """Helper class that must only be used for the mock plan tests."""
+
+    def __init__(self, session: SparkSession, plan: LogicalPlan):
+        super().__init__(session)
+        self._plan = plan
+
+    def __getattr__(self, name):
+        """All attributes are resolved to columns, because none really exist in the
+        mocked DataFrame."""
+        return self[name]
+
+
 @unittest.skipIf(not should_test_connect, connect_requirement_message)
 class PlanOnlyTestFixture(unittest.TestCase, PySparkErrorTestUtils):
     @classmethod
     def _read_table(cls, table_name):
-        return DataFrame.withPlan(Read(table_name), cls.connect)
+        return cls._df_mock(Read(table_name))
 
     @classmethod
     def _udf_mock(cls, *args, **kwargs):
         return "internal_name"
 
+    @classmethod
+    def _df_mock(cls, plan: LogicalPlan) -> MockDF:
+        return MockDF(cls.connect, plan)
+
     @classmethod
     def _session_range(
         cls,
@@ -106,17 +124,17 @@ def _session_range(
         step=1,
         num_partitions=None,
     ):
-        return DataFrame.withPlan(Range(start, end, step, num_partitions), cls.connect)
+        return cls._df_mock(Range(start, end, step, num_partitions))
 
     @classmethod
     def _session_sql(cls, query):
-        return DataFrame.withPlan(SQL(query), cls.connect)
+        return cls._df_mock(SQL(query))
 
     if have_pandas:
 
         @classmethod
         def _with_plan(cls, plan):
-            return DataFrame.withPlan(plan, cls.connect)
+            return cls._df_mock(plan)
 
     @classmethod
     def setUpClass(cls):

From 17fc3632f2344101f8318457e3f9d5f133913997 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 26 Jul 2023 19:17:40 -0500
Subject: [PATCH 071/986] [SPARK-44457][CONNECT][TESTS] Add
 `truncatedTo(ChronoUnit.MICROS)` to make `ArrowEncoderSuite` in Java 17 daily
 test GA task pass

### What changes were proposed in this pull request?
Similar to SPARK-42770 | https://github.com/apache/spark/pull/40395, this pr call `truncatedTo(ChronoUnit.MICROS)` on `Instant.now()` and `LocalDateTime.now()` to ensure microsecond accuracy is used in any environment.

### Why are the changes needed?
Make Java 17 daily test GA task run successfully.

The Java 17 daily test GA task failed now: https://github.com/apache/spark/actions/runs/5570003581/jobs/10173767006

```
[info] - nullable fields *** FAILED *** (169 milliseconds)
[info]   NullableData(null, JANUARY, E1, null, 1.000000000000000000, 2.000000000000000000, null, 4, PT0S, null, 2023-07-16, 2023-07-16, null, 2023-07-16T23:01:54.059339Z, 2023-07-16T23:01:54.059359) did not equal NullableData(null, JANUARY, E1, null, 1.000000000000000000, 2.000000000000000000, null, 4, PT0S, null, 2023-07-16, 2023-07-16, null, 2023-07-16T23:01:54.059339538Z, 2023-07-16T23:01:54.059359638) (ArrowEncoderSuite.scala:194)
[info]   Analysis:
[info]   NullableData(instant: 2023-07-16T23:01:54.059339Z -> 2023-07-16T23:01:54.059339538Z, localDateTime: 2023-07-16T23:01:54.059359 -> 2023-07-16T23:01:54.059359638)
[info]   org.scalatest.exceptions.TestFailedException:
...
[info] - lenient field serialization - timestamp/instant *** FAILED *** (26 milliseconds)
[info]   2023-07-16T23:01:55.112838Z did not equal 2023-07-16T23:01:55.112838568Z (ArrowEncoderSuite.scala:194)
[info]   org.scalatest.exceptions.TestFailedException:
...

```

### Does this PR introduce _any_ user-facing change?
No, just for test

### How was this patch tested?
- Pass GitHub Action
- Git Hub Action test with Java 17 passed: https://github.com/LuciferYang/spark/actions/runs/5647253889/job/15297009685

<img width="1278" alt="image" src="https://github.com/apache/spark/assets/1475305/27a4350a-9475-45e3-b39f-b0b1e8f14e92">

Closes #42039 from LuciferYang/ArrowEncoderSuite-Java17.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit da359259b138864a52ea98a4e19c55e593a5a8fa)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 .../sql/connect/client/arrow/ArrowEncoderSuite.scala  | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 3f8ac1cb8d1d4..5c035a613fec7 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -18,6 +18,7 @@ package org.apache.spark.sql.connect.client.arrow
 
 import java.math.BigInteger
 import java.time.{Duration, Period, ZoneOffset}
+import java.time.temporal.ChronoUnit
 import java.util
 import java.util.{Collections, Objects}
 
@@ -361,8 +362,10 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
 
   test("nullable fields") {
     val encoder = ScalaReflection.encoderFor[NullableData]
-    val instant = java.time.Instant.now()
-    val now = java.time.LocalDateTime.now()
+    // SPARK-44457: Similar to SPARK-42770, calling `truncatedTo(ChronoUnit.MICROS)`
+    // on `Instant.now()` and `LocalDateTime.now()` to ensure microsecond accuracy is used.
+    val instant = java.time.Instant.now().truncatedTo(ChronoUnit.MICROS)
+    val now = java.time.LocalDateTime.now().truncatedTo(ChronoUnit.MICROS)
     val today = java.time.LocalDate.now()
     roundTripAndCheckIdentical(encoder) { () =>
       val maybeNull = MaybeNull(3)
@@ -602,7 +605,9 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
   }
 
   test("lenient field serialization - timestamp/instant") {
-    val base = java.time.Instant.now()
+    // SPARK-44457: Similar to SPARK-42770, calling `truncatedTo(ChronoUnit.MICROS)`
+    // on `Instant.now()` to ensure microsecond accuracy is used.
+    val base = java.time.Instant.now().truncatedTo(ChronoUnit.MICROS)
     val instants = () => Iterator.tabulate(10)(i => base.plusSeconds(i * i * 60))
     val timestamps = () => instants().map(java.sql.Timestamp.from)
     val combo = () => instants() ++ timestamps()

From 803b2854a9e82aee4e5691c4a9a697856b963377 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Wed, 26 Jul 2023 17:54:38 -0700
Subject: [PATCH 072/986] [SPARK-44479][PYTHON][3.5] Fix
 ArrowStreamPandasUDFSerializer to accept no-column pandas DataFrame

### What changes were proposed in this pull request?

Fixes `ArrowStreamPandasUDFSerializer` to accept no-column pandas DataFrame.

```py
>>> def _scalar_f(id):
...   return pd.DataFrame(index=id)
...
>>> scalar_f = pandas_udf(_scalar_f, returnType=StructType())
>>> df = spark.range(3).withColumn("f", scalar_f(col("id")))
>>> df.printSchema()
root
 |-- id: long (nullable = false)
 |-- f: struct (nullable = true)

>>> df.show()
+---+---+
| id|  f|
+---+---+
|  0| {}|
|  1| {}|
|  2| {}|
+---+---+
```

### Why are the changes needed?

The above query fails with the following error:

```py
>>> df.show()
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
...
ValueError: not enough values to unpack (expected 2, got 0)
```

### Does this PR introduce _any_ user-facing change?

Yes, Pandas UDF will accept no-column pandas DataFrame.

### How was this patch tested?

Added related tests.

Closes #42176 from ueshin/issues/SPARK-44479/3.5/empty_schema.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/pyspark/sql/connect/types.py           |  4 ++-
 python/pyspark/sql/pandas/serializers.py      | 31 +++++++------------
 .../tests/pandas/test_pandas_udf_scalar.py    | 23 +++++++++++++-
 python/pyspark/sql/tests/test_udtf.py         | 11 +++++--
 4 files changed, 45 insertions(+), 24 deletions(-)

diff --git a/python/pyspark/sql/connect/types.py b/python/pyspark/sql/connect/types.py
index 2a21cdf067513..0db2833d2c1aa 100644
--- a/python/pyspark/sql/connect/types.py
+++ b/python/pyspark/sql/connect/types.py
@@ -170,6 +170,7 @@ def pyspark_types_to_proto_types(data_type: DataType) -> pb2.DataType:
         ret.year_month_interval.start_field = data_type.startField
         ret.year_month_interval.end_field = data_type.endField
     elif isinstance(data_type, StructType):
+        struct = pb2.DataType.Struct()
         for field in data_type.fields:
             struct_field = pb2.DataType.StructField()
             struct_field.name = field.name
@@ -177,7 +178,8 @@ def pyspark_types_to_proto_types(data_type: DataType) -> pb2.DataType:
             struct_field.nullable = field.nullable
             if field.metadata is not None and len(field.metadata) > 0:
                 struct_field.metadata = json.dumps(field.metadata)
-            ret.struct.fields.append(struct_field)
+            struct.fields.append(struct_field)
+        ret.struct.CopyFrom(struct)
     elif isinstance(data_type, MapType):
         ret.map.key_type.CopyFrom(pyspark_types_to_proto_types(data_type.keyType))
         ret.map.value_type.CopyFrom(pyspark_types_to_proto_types(data_type.valueType))
diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index f22a73cbbef3b..1d326928e2327 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -385,37 +385,28 @@ def _create_struct_array(self, df, arrow_struct_type):
         """
         import pyarrow as pa
 
-        # Input partition and result pandas.DataFrame empty, make empty Arrays with struct
-        if len(df) == 0 and len(df.columns) == 0:
-            arrs_names = [
-                (pa.array([], type=field.type), field.name) for field in arrow_struct_type
-            ]
+        if len(df.columns) == 0:
+            return pa.array([{}] * len(df), arrow_struct_type)
         # Assign result columns by schema name if user labeled with strings
-        elif self._assign_cols_by_name and any(isinstance(name, str) for name in df.columns):
-            arrs_names = [
-                (
-                    self._create_array(df[field.name], field.type, arrow_cast=self._arrow_cast),
-                    field.name,
-                )
+        if self._assign_cols_by_name and any(isinstance(name, str) for name in df.columns):
+            struct_arrs = [
+                self._create_array(df[field.name], field.type, arrow_cast=self._arrow_cast)
                 for field in arrow_struct_type
             ]
         # Assign result columns by position
         else:
-            arrs_names = [
+            struct_arrs = [
                 # the selected series has name '1', so we rename it to field.name
                 # as the name is used by _create_array to provide a meaningful error message
-                (
-                    self._create_array(
-                        df[df.columns[i]].rename(field.name),
-                        field.type,
-                        arrow_cast=self._arrow_cast,
-                    ),
-                    field.name,
+                self._create_array(
+                    df[df.columns[i]].rename(field.name),
+                    field.type,
+                    arrow_cast=self._arrow_cast,
                 )
                 for i, field in enumerate(arrow_struct_type)
             ]
 
-        struct_arrs, struct_names = zip(*arrs_names)
+        struct_names = [field.name for field in arrow_struct_type]
         return pa.StructArray.from_arrays(struct_arrs, struct_names)
 
     def _create_batch(self, series):
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py b/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py
index fef2122426618..7a80547b3fc8b 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py
@@ -60,7 +60,7 @@
     pandas_requirement_message,
     pyarrow_requirement_message,
 )
-from pyspark.testing.utils import QuietTest
+from pyspark.testing.utils import QuietTest, assertDataFrameEqual
 
 if have_pandas:
     import pandas as pd
@@ -528,6 +528,27 @@ def iter_f(it):
                 self.assertEqual(pd.Timestamp(i).to_pydatetime(), f[0])
                 self.assertListEqual([i, i + 1], f[1])
 
+    def test_vectorized_udf_struct_empty(self):
+        df = self.spark.range(3)
+        return_type = StructType()
+
+        def _scalar_f(id):
+            return pd.DataFrame(index=id)
+
+        scalar_f = pandas_udf(_scalar_f, returnType=return_type)
+
+        @pandas_udf(returnType=return_type, functionType=PandasUDFType.SCALAR_ITER)
+        def iter_f(it):
+            for id in it:
+                yield _scalar_f(id)
+
+        for f, udf_type in [(scalar_f, "SCALAR"), (iter_f, "SCALAR_ITER")]:
+            with self.subTest(udf_type=udf_type):
+                assertDataFrameEqual(
+                    df.withColumn("f", f(col("id"))),
+                    [Row(id=0, f=Row()), Row(id=1, f=Row()), Row(id=2, f=Row())],
+                )
+
     def test_vectorized_udf_nested_struct(self):
         with QuietTest(self.sc):
             self.check_vectorized_udf_nested_struct()
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index bb84b9d836aea..0aa769e506d38 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -29,9 +29,8 @@
 )
 from pyspark.rdd import PythonEvalType
 from pyspark.sql.functions import lit, udf, udtf
-from pyspark.sql.types import Row
+from pyspark.sql.types import IntegerType, MapType, Row, StringType, StructType
 from pyspark.testing import assertDataFrameEqual
-from pyspark.sql.types import MapType, StringType, IntegerType
 from pyspark.testing.sqlutils import (
     have_pandas,
     have_pyarrow,
@@ -466,6 +465,14 @@ def eval(self, x: int):
 
         self.assertEqual(TestUDTF(lit(1)).collect(), [Row(x={1: "1"})])
 
+    def test_udtf_with_empty_output_types(self):
+        @udtf(returnType=StructType())
+        class TestUDTF:
+            def eval(self):
+                yield tuple()
+
+        assertDataFrameEqual(TestUDTF(), [Row()])
+
     @unittest.skipIf(not have_pandas, pandas_requirement_message)
     def test_udtf_with_pandas_input_type(self):
         import pandas as pd

From 57b91eefff9120af868a202469f90c5d3814ae21 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 26 Jul 2023 23:25:46 -0400
Subject: [PATCH 073/986] [SPARK-44507][SQL][CONNECT] Move AnalysisException to
 sql/api

This PR moves `AnalysisException` to sql/api. In order to do so we had to move the `plan` field out. We have introduced the `ExtendedAnalysisException` subclass to host this field.

Yes, `AnalysisException` does not have the `plan` field anymore. This is a breaking change. On the upside this reduces a lot of the breaking changes we had to make, for example `ParseException` is an `AnalysisException` again.

(Updated) Existing tests.

Closes #42130 from hvanhovell/light-analysis-exception.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 29ef893eb2d4ee2819ecc8bbec5d2b6fd428e21e)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 docs/sql-migration-guide.md                   |   2 +-
 project/MimaExcludes.scala                    |   5 +-
 .../apache/spark/sql/AnalysisException.scala  |  11 +-
 .../spark/sql/catalyst/parser/parsers.scala   |  26 +-
 .../catalyst/ExtendedAnalysisException.scala  |  87 +++
 .../sql/catalyst/analysis/Analyzer.scala      |   6 +-
 .../analysis/ResolveTimeWindows.scala         |   4 +-
 .../UnsupportedOperationChecker.scala         |   3 +-
 .../sql/errors/QueryCompilationErrors.scala   |   4 +-
 .../analyzer-results/ansi/array.sql.out       |  10 +-
 .../analyzer-results/ansi/cast.sql.out        |  16 +-
 .../analyzer-results/ansi/date.sql.out        |  18 +-
 ...double-quoted-identifiers-disabled.sql.out |  10 +-
 .../double-quoted-identifiers-enabled.sql.out |  22 +-
 .../analyzer-results/ansi/interval.sql.out    |  70 +-
 .../analyzer-results/ansi/literals.sql.out    |  18 +-
 .../analyzer-results/ansi/map.sql.out         |   4 +-
 .../ansi/string-functions.sql.out             |   6 +-
 .../analyzer-results/ansi/timestamp.sql.out   |   8 +-
 .../ansi/try_arithmetic.sql.out               |   2 +-
 .../sql-tests/analyzer-results/array.sql.out  |  10 +-
 .../analyzer-results/bitwise.sql.out          |   4 +-
 .../column-resolution-aggregate.sql.out       |   8 +-
 .../columnresolution-negative.sql.out         |   8 +-
 .../analyzer-results/csv-functions.sql.out    |   6 +-
 .../analyzer-results/cte-legacy.sql.out       |  10 +-
 .../analyzer-results/cte-nested.sql.out       |   6 +-
 .../analyzer-results/cte-nonlegacy.sql.out    |   6 +-
 .../sql-tests/analyzer-results/cte.sql.out    |  18 +-
 .../sql-tests/analyzer-results/date.sql.out   |  26 +-
 .../analyzer-results/datetime-legacy.sql.out  |  42 +-
 .../double-quoted-identifiers.sql.out         |  10 +-
 .../analyzer-results/except-all.sql.out       |   4 +-
 .../analyzer-results/group-analytics.sql.out  |   4 +-
 .../group-by-all-duckdb.sql.out               |   4 +-
 .../group-by-all-mosha.sql.out                |   6 +-
 .../analyzer-results/group-by-all.sql.out     |   8 +-
 .../analyzer-results/group-by-filter.sql.out  |   6 +-
 .../analyzer-results/group-by.sql.out         |  36 +-
 .../analyzer-results/grouping_set.sql.out     |   2 +-
 .../sql-tests/analyzer-results/having.sql.out |   2 +-
 .../sql-tests/analyzer-results/hll.sql.out    |   4 +-
 .../identifier-clause.sql.out                 |   2 +-
 .../analyzer-results/intersect-all.sql.out    |   4 +-
 .../analyzer-results/interval.sql.out         |  70 +-
 .../analyzer-results/join-lateral.sql.out     |  24 +-
 .../analyzer-results/json-functions.sql.out   |  10 +-
 .../sql-tests/analyzer-results/limit.sql.out  |  12 +-
 .../analyzer-results/literals.sql.out         |  18 +-
 .../sql-tests/analyzer-results/map.sql.out    |   4 +-
 .../analyzer-results/mask-functions.sql.out   |  12 +-
 .../named-function-arguments.sql.out          |   2 +-
 .../analyzer-results/natural-join.sql.out     |   2 +-
 .../analyzer-results/order-by-all.sql.out     |   2 +-
 .../analyzer-results/percentiles.sql.out      |  24 +-
 .../sql-tests/analyzer-results/pivot.sql.out  |   6 +-
 .../postgreSQL/aggregates_part1.sql.out       |   2 +-
 .../postgreSQL/aggregates_part3.sql.out       |   2 +-
 .../postgreSQL/create_view.sql.out            |   8 +-
 .../analyzer-results/postgreSQL/join.sql.out  |  16 +-
 .../analyzer-results/postgreSQL/limit.sql.out |   4 +-
 .../postgreSQL/numeric.sql.out                |   4 +-
 .../postgreSQL/select_having.sql.out          |   4 +-
 .../postgreSQL/select_implicit.sql.out        |   4 +-
 .../analyzer-results/postgreSQL/union.sql.out |   2 +-
 .../postgreSQL/window_part3.sql.out           |  10 +-
 .../analyzer-results/postgreSQL/with.sql.out  |   4 +-
 .../query_regex_column.sql.out                |  16 +-
 .../sql-tests/analyzer-results/random.sql.out |   4 +-
 .../analyzer-results/regexp-functions.sql.out |   4 +-
 .../analyzer-results/show_columns.sql.out     |   8 +-
 .../analyzer-results/string-functions.sql.out |   6 +-
 .../exists-joins-and-set-ops.sql.out          |  16 +-
 .../subquery/in-subquery/in-basic.sql.out     |   2 +-
 .../in-subquery/in-set-operations.sql.out     |  24 +-
 .../invalid-correlation.sql.out               |   8 +-
 .../subq-input-typecheck.sql.out              |  10 +-
 .../scalar-subquery-predicate.sql.out         |   2 +-
 .../scalar-subquery-set-op.sql.out            |  12 +-
 .../analyzer-results/table-aliases.sql.out    |   2 +-
 .../table-valued-functions.sql.out            |  16 +-
 .../analyzer-results/timestamp.sql.out        |  16 +-
 .../timestampNTZ/timestamp-ansi.sql.out       |   8 +-
 .../timestampNTZ/timestamp.sql.out            |  16 +-
 .../analyzer-results/try_arithmetic.sql.out   |   2 +-
 .../native/booleanEquality.sql.out            |  48 +-
 .../native/caseWhenCoercion.sql.out           | 140 ++--
 .../native/dateTimeOperations.sql.out         |  54 +-
 .../native/decimalPrecision.sql.out           | 704 +++++++++---------
 .../typeCoercion/native/division.sql.out      | 160 ++--
 .../typeCoercion/native/ifCoercion.sql.out    | 140 ++--
 .../typeCoercion/native/inConversion.sql.out  | 280 +++----
 .../typeCoercion/native/mapZipWith.sql.out    |   4 +-
 .../typeCoercion/native/mapconcat.sql.out     |  10 +-
 .../native/promoteStrings.sql.out             |  94 +--
 .../native/stringCastAndExpressions.sql.out   |   6 +-
 .../native/widenSetOperationTypes.sql.out     | 140 ++--
 .../native/windowFrameCoercion.sql.out        |   8 +-
 .../postgreSQL/udf-aggregates_part1.sql.out   |   2 +-
 .../postgreSQL/udf-aggregates_part3.sql.out   |   2 +-
 .../udf/postgreSQL/udf-join.sql.out           |  16 +-
 .../udf/postgreSQL/udf-select_having.sql.out  |   4 +-
 .../postgreSQL/udf-select_implicit.sql.out    |   4 +-
 .../udf/udf-except-all.sql.out                |   4 +-
 .../udf/udf-group-analytics.sql.out           |   4 +-
 .../analyzer-results/udf/udf-group-by.sql.out |  28 +-
 .../udf/udf-intersect-all.sql.out             |   4 +-
 .../analyzer-results/udf/udf-pivot.sql.out    |   6 +-
 .../analyzer-results/udf/udf-window.sql.out   |  12 +-
 .../sql-tests/analyzer-results/window.sql.out |  18 +-
 .../sql-tests/results/ansi/array.sql.out      |  10 +-
 .../sql-tests/results/ansi/cast.sql.out       |  16 +-
 .../sql-tests/results/ansi/date.sql.out       |  18 +-
 ...double-quoted-identifiers-disabled.sql.out |  10 +-
 .../double-quoted-identifiers-enabled.sql.out |  22 +-
 .../sql-tests/results/ansi/interval.sql.out   |  70 +-
 .../sql-tests/results/ansi/literals.sql.out   |  18 +-
 .../sql-tests/results/ansi/map.sql.out        |   4 +-
 .../results/ansi/string-functions.sql.out     |   6 +-
 .../sql-tests/results/ansi/timestamp.sql.out  |   8 +-
 .../results/ansi/try_arithmetic.sql.out       |   2 +-
 .../resources/sql-tests/results/array.sql.out |  10 +-
 .../sql-tests/results/bitwise.sql.out         |   4 +-
 .../column-resolution-aggregate.sql.out       |   8 +-
 .../results/columnresolution-negative.sql.out |   8 +-
 .../sql-tests/results/csv-functions.sql.out   |   6 +-
 .../sql-tests/results/cte-legacy.sql.out      |  10 +-
 .../sql-tests/results/cte-nested.sql.out      |   6 +-
 .../sql-tests/results/cte-nonlegacy.sql.out   |   6 +-
 .../resources/sql-tests/results/cte.sql.out   |  18 +-
 .../resources/sql-tests/results/date.sql.out  |  26 +-
 .../sql-tests/results/datetime-legacy.sql.out |  42 +-
 .../results/double-quoted-identifiers.sql.out |  10 +-
 .../sql-tests/results/except-all.sql.out      |   4 +-
 .../sql-tests/results/group-analytics.sql.out |   4 +-
 .../results/group-by-all-duckdb.sql.out       |   4 +-
 .../results/group-by-all-mosha.sql.out        |   6 +-
 .../sql-tests/results/group-by-all.sql.out    |   8 +-
 .../sql-tests/results/group-by-filter.sql.out |   6 +-
 .../sql-tests/results/group-by.sql.out        |  36 +-
 .../sql-tests/results/grouping_set.sql.out    |   2 +-
 .../sql-tests/results/having.sql.out          |   2 +-
 .../resources/sql-tests/results/hll.sql.out   |   4 +-
 .../results/identifier-clause.sql.out         |   2 +-
 .../sql-tests/results/intersect-all.sql.out   |   4 +-
 .../sql-tests/results/interval.sql.out        |  70 +-
 .../sql-tests/results/join-lateral.sql.out    |  24 +-
 .../sql-tests/results/json-functions.sql.out  |  10 +-
 .../resources/sql-tests/results/limit.sql.out |  12 +-
 .../sql-tests/results/literals.sql.out        |  18 +-
 .../resources/sql-tests/results/map.sql.out   |   4 +-
 .../sql-tests/results/mask-functions.sql.out  |  12 +-
 .../results/named-function-arguments.sql.out  |   2 +-
 .../sql-tests/results/natural-join.sql.out    |   2 +-
 .../sql-tests/results/order-by-all.sql.out    |   2 +-
 .../sql-tests/results/percentiles.sql.out     |  24 +-
 .../resources/sql-tests/results/pivot.sql.out |   6 +-
 .../postgreSQL/aggregates_part1.sql.out       |   2 +-
 .../postgreSQL/aggregates_part3.sql.out       |   2 +-
 .../results/postgreSQL/create_view.sql.out    |   8 +-
 .../sql-tests/results/postgreSQL/join.sql.out |  16 +-
 .../results/postgreSQL/limit.sql.out          |   4 +-
 .../results/postgreSQL/numeric.sql.out        |   4 +-
 .../results/postgreSQL/select_having.sql.out  |   4 +-
 .../postgreSQL/select_implicit.sql.out        |   4 +-
 .../results/postgreSQL/union.sql.out          |   2 +-
 .../results/postgreSQL/window_part3.sql.out   |  10 +-
 .../sql-tests/results/postgreSQL/with.sql.out |   4 +-
 .../results/query_regex_column.sql.out        |  16 +-
 .../sql-tests/results/random.sql.out          |   4 +-
 .../results/regexp-functions.sql.out          |   4 +-
 .../sql-tests/results/show_columns.sql.out    |   8 +-
 .../results/string-functions.sql.out          |   6 +-
 .../exists-joins-and-set-ops.sql.out          |  16 +-
 .../subquery/in-subquery/in-basic.sql.out     |   2 +-
 .../in-subquery/in-set-operations.sql.out     |  24 +-
 .../invalid-correlation.sql.out               |   8 +-
 .../subq-input-typecheck.sql.out              |  10 +-
 .../scalar-subquery-predicate.sql.out         |   2 +-
 .../scalar-subquery-set-op.sql.out            |  12 +-
 .../sql-tests/results/table-aliases.sql.out   |   2 +-
 .../results/table-valued-functions.sql.out    |  16 +-
 .../sql-tests/results/timestamp.sql.out       |  16 +-
 .../timestampNTZ/timestamp-ansi.sql.out       |   8 +-
 .../results/timestampNTZ/timestamp.sql.out    |  16 +-
 .../sql-tests/results/try_arithmetic.sql.out  |   2 +-
 .../native/booleanEquality.sql.out            |  48 +-
 .../native/caseWhenCoercion.sql.out           | 140 ++--
 .../native/dateTimeOperations.sql.out         |  54 +-
 .../native/decimalPrecision.sql.out           | 704 +++++++++---------
 .../typeCoercion/native/division.sql.out      | 160 ++--
 .../typeCoercion/native/ifCoercion.sql.out    | 140 ++--
 .../typeCoercion/native/inConversion.sql.out  | 280 +++----
 .../typeCoercion/native/mapZipWith.sql.out    |   4 +-
 .../typeCoercion/native/mapconcat.sql.out     |  10 +-
 .../native/promoteStrings.sql.out             |  94 +--
 .../native/stringCastAndExpressions.sql.out   |   6 +-
 .../native/widenSetOperationTypes.sql.out     | 140 ++--
 .../native/windowFrameCoercion.sql.out        |   8 +-
 .../results/udaf/udaf-group-by.sql.out        |  12 +-
 .../postgreSQL/udf-aggregates_part1.sql.out   |   2 +-
 .../postgreSQL/udf-aggregates_part3.sql.out   |   2 +-
 .../results/udf/postgreSQL/udf-join.sql.out   |  16 +-
 .../udf/postgreSQL/udf-select_having.sql.out  |   4 +-
 .../postgreSQL/udf-select_implicit.sql.out    |   4 +-
 .../results/udf/udf-except-all.sql.out        |   4 +-
 .../results/udf/udf-group-analytics.sql.out   |   4 +-
 .../results/udf/udf-group-by.sql.out          |  28 +-
 .../results/udf/udf-intersect-all.sql.out     |   4 +-
 .../sql-tests/results/udf/udf-pivot.sql.out   |   6 +-
 .../sql-tests/results/udf/udf-window.sql.out  |  12 +-
 .../sql-tests/results/window.sql.out          |  18 +-
 .../apache/spark/sql/JsonFunctionsSuite.scala |   3 +-
 .../org/apache/spark/sql/QueryTest.scala      |   5 +-
 .../org/apache/spark/sql/SQLQuerySuite.scala  |   8 +-
 .../apache/spark/sql/SQLQueryTestHelper.scala |   3 +-
 216 files changed, 2858 insertions(+), 2781 deletions(-)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/AnalysisException.scala (90%)
 create mode 100644 sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ExtendedAnalysisException.scala

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 42c36ba68189f..59b125cbc8269 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -28,7 +28,7 @@ license: |
 - Since Spark 3.5, Spark thrift server will interrupt task when canceling a running statement. To restore the previous behavior, set `spark.sql.thriftServer.interruptOnCancel` to `false`.
 - Since Spark 3.5, the Avro will throw `AnalysisException` when reading Interval types as Date or Timestamp types, or reading Decimal types with lower precision. To restore the legacy behavior, set `spark.sql.legacy.avro.allowIncompatibleSchema` to `true`
 - Since Spark 3.5, Row's json and prettyJson methods are moved to `ToJsonUtil`.
-- Since Spark 3.5, ParseException is a subclass of SparkException instead of AnalysisException.
+- Since Spark 3.5, the `plan` field is moved from `AnalysisException` to `EnhancedAnalysisException`.
 
 ## Upgrading from Spark SQL 3.3 to 3.4
 
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 0fdf6ad534d50..d446603b68723 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -64,12 +64,15 @@ object MimaExcludes {
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.JobData.this"),
     // [SPARK-44205][SQL] Extract Catalyst Code from DecimalType
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.types.DecimalType.unapply"),
+    // [SPARK-44507][SQL][CONNECT] Move AnalysisException to sql/api.
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.AnalysisException"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.AnalysisException$"),
     // [SPARK-44535][CONNECT][SQL] Move required Streaming API to sql/api
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupStateTimeout"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode")
   )
 
-  // Defulat exclude rules
+  // Default exclude rules
   lazy val defaultExcludes = Seq(
     // Spark Internals
     ProblemFilters.exclude[Problem]("org.apache.spark.rpc.*"),
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/AnalysisException.scala b/sql/api/src/main/scala/org/apache/spark/sql/AnalysisException.scala
similarity index 90%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/AnalysisException.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/AnalysisException.scala
index ccc3b5f85f70b..e1cb02a362bef 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/AnalysisException.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/AnalysisException.scala
@@ -21,7 +21,6 @@ import scala.collection.JavaConverters._
 
 import org.apache.spark.{QueryContext, SparkThrowable, SparkThrowableHelper}
 import org.apache.spark.annotation.Stable
-import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.trees.{Origin, WithOrigin}
 
 /**
@@ -34,8 +33,6 @@ class AnalysisException protected[sql] (
     val message: String,
     val line: Option[Int] = None,
     val startPosition: Option[Int] = None,
-    // Some plans fail to serialize due to bugs in scala collections.
-    @transient val plan: Option[LogicalPlan] = None,
     val cause: Option[Throwable] = None,
     val errorClass: Option[String] = None,
     val messageParameters: Map[String, String] = Map.empty,
@@ -102,12 +99,11 @@ class AnalysisException protected[sql] (
       message: String = this.message,
       line: Option[Int] = this.line,
       startPosition: Option[Int] = this.startPosition,
-      plan: Option[LogicalPlan] = this.plan,
       cause: Option[Throwable] = this.cause,
       errorClass: Option[String] = this.errorClass,
       messageParameters: Map[String, String] = this.messageParameters,
       context: Array[QueryContext] = this.context): AnalysisException =
-    new AnalysisException(message, line, startPosition, plan, cause, errorClass,
+    new AnalysisException(message, line, startPosition, cause, errorClass,
       messageParameters, context)
 
   def withPosition(origin: Origin): AnalysisException = {
@@ -119,10 +115,7 @@ class AnalysisException protected[sql] (
     newException
   }
 
-  override def getMessage: String = {
-    val planAnnotation = Option(plan).flatten.map(p => s";\n$p").getOrElse("")
-    getSimpleMessage + planAnnotation
-  }
+  override def getMessage: String = getSimpleMessage
 
   // Outputs an exception without the logical plan.
   // For testing only
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
index ac285d54c1fe7..39d369fed9468 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
@@ -23,9 +23,9 @@ import org.antlr.v4.runtime.atn.PredictionMode
 import org.antlr.v4.runtime.misc.{Interval, ParseCancellationException}
 import org.antlr.v4.runtime.tree.TerminalNodeImpl
 
-import org.apache.spark.{QueryContext, SparkException, SparkThrowable, SparkThrowableHelper}
+import org.apache.spark.{QueryContext, SparkThrowable, SparkThrowableHelper}
 import org.apache.spark.internal.Logging
-import org.apache.spark.sql.SqlApiConf
+import org.apache.spark.sql.{AnalysisException, SqlApiConf}
 import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin, WithOrigin}
 import org.apache.spark.sql.catalyst.util.SparkParserUtils
 import org.apache.spark.sql.errors.QueryParsingErrors
@@ -184,15 +184,17 @@ case object ParseErrorListener extends BaseErrorListener {
  */
 class ParseException(
     val command: Option[String],
-    val message: String,
+    message: String,
     val start: Origin,
     val stop: Origin,
-    val errorClass: Option[String] = None,
-    val messageParameters: Map[String, String] = Map.empty,
-    val queryContext: Array[QueryContext] = ParseException.getQueryContext())
-  extends SparkException(
+    errorClass: Option[String] = None,
+    messageParameters: Map[String, String] = Map.empty,
+    queryContext: Array[QueryContext] = ParseException.getQueryContext())
+  extends AnalysisException(
     message,
-    cause = null,
+    start.line,
+    start.startPosition,
+    None,
     errorClass,
     messageParameters,
     queryContext) {
@@ -222,14 +224,6 @@ class ParseException(
       Some(errorClass),
       messageParameters)
 
-  // Methods added to retain compatibility with AnalysisException.
-  @deprecated("Use start.line instead.")
-  def line: Option[Int] = start.line
-  @deprecated("Use start.startPosition instead.")
-  def startPosition: Option[Int] = start.startPosition
-  @deprecated("ParseException is never caused by another exception.")
-  def cause: Option[Throwable] = None
-
   override def getMessage: String = {
     val builder = new StringBuilder
     builder ++= "\n" ++= message
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ExtendedAnalysisException.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ExtendedAnalysisException.scala
new file mode 100644
index 0000000000000..2eb7054edcebc
--- /dev/null
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ExtendedAnalysisException.scala
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst
+
+import org.apache.spark.QueryContext
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+
+/**
+ * Internal [[AnalysisException]] that also captures a [[LogicalPlan]].
+ */
+class ExtendedAnalysisException(
+    message: String,
+    line: Option[Int] = None,
+    startPosition: Option[Int] = None,
+    // Some plans fail to serialize due to bugs in scala collections.
+    @transient val plan: Option[LogicalPlan] = None,
+    cause: Option[Throwable] = None,
+    errorClass: Option[String] = None,
+    messageParameters: Map[String, String] = Map.empty,
+    context: Array[QueryContext] = Array.empty)
+  extends AnalysisException(
+    message,
+    line,
+    startPosition,
+    cause,
+    errorClass,
+    messageParameters,
+    context) {
+
+  def this(e: AnalysisException, plan: LogicalPlan) = {
+    this(
+      e.message,
+      e.line,
+      e.startPosition,
+      Option(plan),
+      e.cause,
+      e.errorClass,
+      e.messageParameters,
+      e.context)
+    setStackTrace(e.getStackTrace)
+  }
+
+  override def copy(
+      message: String,
+      line: Option[Int],
+      startPosition: Option[Int],
+      cause: Option[Throwable],
+      errorClass: Option[String],
+      messageParameters: Map[String, String],
+      context: Array[QueryContext]): ExtendedAnalysisException = {
+    new ExtendedAnalysisException(message, line, startPosition, plan, cause, errorClass,
+      messageParameters, context)
+  }
+
+  override def getMessage: String = {
+    val planAnnotation = Option(plan).flatten.map(p => s";\n$p").getOrElse("")
+    getSimpleMessage + planAnnotation
+  }
+
+  override def toString: String = {
+    val message = getLocalizedMessage
+    if (message != null) {
+      ExtendedAnalysisException.name + ": " + message
+    } else {
+      ExtendedAnalysisException.name
+    }
+  }
+}
+
+object ExtendedAnalysisException {
+  private val name = classOf[AnalysisException].getName
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 55433ea04b8f9..ed037f3fd982b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -29,7 +29,7 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst._
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.encoders.OuterScopes
-import org.apache.spark.sql.catalyst.expressions.{Expression, FrameLessOffsetWindowFunction, _}
+import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.SubExprUtils._
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.expressions.objects._
@@ -212,9 +212,7 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
         analyzed
       } catch {
         case e: AnalysisException =>
-          val ae = e.copy(plan = Option(analyzed))
-          ae.setStackTrace(e.getStackTrace)
-          throw ae
+          throw new ExtendedAnalysisException(e, analyzed)
       }
     }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
index 5ce6a531cf090..1ee218f9369c5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
-import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.ExtendedAnalysisException
 import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference, CaseWhen, Cast, CreateNamedStruct, Expression, GetStructField, IsNotNull, LessThan, Literal, PreciseTimestampConversion, SessionWindow, Subtract, TimeWindow, WindowTime}
 import org.apache.spark.sql.catalyst.plans.logical.{Expand, Filter, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.Rule
@@ -310,7 +310,7 @@ object ResolveWindowTime extends Rule[LogicalPlan] {
           if (!metadata.contains(TimeWindow.marker) &&
             !metadata.contains(SessionWindow.marker)) {
             // FIXME: error framework?
-            throw new AnalysisException(
+            throw new ExtendedAnalysisException(
               s"The input is not a correct window column: $windowTime", plan = Some(p))
           }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UnsupportedOperationChecker.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UnsupportedOperationChecker.scala
index 2a09d85d8f267..b86306e6a0c49 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UnsupportedOperationChecker.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UnsupportedOperationChecker.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.catalyst.analysis
 
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.ExtendedAnalysisException
 import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference, BinaryComparison, CurrentDate, CurrentTimestampLike, Expression, GreaterThan, GreaterThanOrEqual, GroupingSets, LessThan, LessThanOrEqual, LocalTimestamp, MonotonicallyIncreasingID, SessionWindow, WindowExpression}
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.plans._
@@ -570,7 +571,7 @@ object UnsupportedOperationChecker extends Logging {
   }
 
   private def throwError(msg: String)(implicit operator: LogicalPlan): Nothing = {
-    throw new AnalysisException(
+    throw new ExtendedAnalysisException(
       msg, operator.origin.line, operator.origin.startPosition, Some(operator))
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index b2eee0dee9876..79b8e9f389e14 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -23,7 +23,7 @@ import org.apache.hadoop.fs.Path
 
 import org.apache.spark.{SPARK_DOC_ROOT, SparkException, SparkThrowable, SparkThrowableHelper, SparkUnsupportedOperationException}
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.{FunctionIdentifier, QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{ExtendedAnalysisException, FunctionIdentifier, QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.{CannotReplaceMissingTableException, FunctionAlreadyExistsException, NamespaceAlreadyExistsException, NoSuchFunctionException, NoSuchNamespaceException, NoSuchPartitionException, NoSuchTableException, ResolvedTable, Star, TableAlreadyExistsException, UnresolvedRegex}
 import org.apache.spark.sql.catalyst.catalog.{CatalogTable, InvalidUDFClassException}
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
@@ -1895,7 +1895,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
 
   def streamJoinStreamWithoutEqualityPredicateUnsupportedError(plan: LogicalPlan): Throwable = {
     val errorClass = "_LEGACY_ERROR_TEMP_1181"
-    new AnalysisException(
+    new ExtendedAnalysisException(
       SparkThrowableHelper.getMessage(errorClass, Map.empty[String, String]),
       errorClass = Some(errorClass),
       messageParameters = Map.empty,
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index b71d0aad152fc..12ad7ce436b85 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -170,7 +170,7 @@ Project [sort_array(boolean_array#x, true) AS sort_array(boolean_array, true)#x,
 -- !query
 select sort_array(array('b', 'd'), '1')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -194,7 +194,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select sort_array(array('b', 'd'), cast(NULL as boolean))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -353,7 +353,7 @@ Project [array_size(cast(null as array<void>)) AS array_size(NULL)#x]
 -- !query
 select array_size(map('a', 1, 'b', 2))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -475,7 +475,7 @@ Project [array_insert(array(1, 3, 4), -2, 2) AS array_insert(array(1, 3, 4), -2,
 -- !query
 select array_insert(array(1, 2, 3), 3, "4")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.ARRAY_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -534,7 +534,7 @@ Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1) AS array_insert(
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/cast.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/cast.sql.out
index 730704b3cbf63..caa324b335c0a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/cast.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/cast.sql.out
@@ -205,7 +205,7 @@ Project [hex(cast(abc as binary)) AS hex(CAST(abc AS BINARY))#x]
 -- !query
 SELECT HEX(CAST(CAST(123 AS byte) AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -229,7 +229,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(CAST(-123 AS byte) AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -253,7 +253,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(123S AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -277,7 +277,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(-123S AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -301,7 +301,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(123 AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -325,7 +325,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(-123 AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -349,7 +349,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(123L AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -373,7 +373,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT HEX(CAST(-123L AS binary))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/date.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/date.sql.out
index 3765d65ec3b73..4373f53dddf85 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/date.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/date.sql.out
@@ -283,7 +283,7 @@ Project [date_add(cast(2011-11-11 as date), 1) AS date_add(2011-11-11, 1)#x]
 -- !query
 select date_add('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -307,7 +307,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -331,7 +331,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -421,7 +421,7 @@ Project [date_sub(cast(2011-11-11 as date), 1) AS date_sub(2011-11-11, 1)#x]
 -- !query
 select date_sub('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -445,7 +445,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -469,7 +469,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -574,7 +574,7 @@ Project [date_sub(cast(date_str#x as date), 1) AS date_sub(date_str, 1)#x]
 -- !query
 select date '2011-11-11' + 1E1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -658,7 +658,7 @@ select date '2001-09-28' - date_str from date_view
 -- !query
 select date'2011-11-11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -682,7 +682,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + date'2011-11-11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-disabled.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-disabled.sql.out
index d7587b0b65883..d73b72eca3e21 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-disabled.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-disabled.sql.out
@@ -114,7 +114,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 -- !query
 SELECT 1 FROM `hello`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -147,7 +147,7 @@ org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
 -- !query
 ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -167,7 +167,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -187,7 +187,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -207,7 +207,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 FROM not_exist AS X(`hello`)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
index 2a6bcce99d195..0a009a3a282f9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
@@ -2,7 +2,7 @@
 -- !query
 SELECT 1 FROM "not_exist"
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -35,7 +35,7 @@ org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
 -- !query
 ALTER TABLE "not_exist" ADD COLUMN not_exist int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -55,7 +55,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 ALTER TABLE not_exist ADD COLUMN "not_exist" int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -75,7 +75,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS "not_exist" FROM not_exist
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -95,7 +95,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 FROM not_exist AS X("hello")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -157,7 +157,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 FROM `hello`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -190,7 +190,7 @@ org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
 -- !query
 ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -210,7 +210,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -230,7 +230,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -250,7 +250,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 FROM not_exist AS X(`hello`)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -312,7 +312,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT "hello"
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
index 19c77c8de9071..1120c40ac15c4 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
@@ -159,7 +159,7 @@ Project [(INTERVAL '2' YEAR * cast(a as double)) AS (INTERVAL '2' YEAR * a)#x]
 -- !query
 select '2' / interval 2 second
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -181,7 +181,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '2' / interval 2 year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -259,7 +259,7 @@ Project [(INTERVAL '2' YEAR * cast(null as double)) AS (INTERVAL '2' YEAR * NULL
 -- !query
 select 2 / interval '2' year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -281,7 +281,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 2 / interval '2' hour
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -303,7 +303,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null / interval '2' year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -325,7 +325,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null / interval '2' hour
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1515,7 +1515,7 @@ select
   '4 day' + interval '10' day,
   '4 22 day to hour' - interval '10' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1552,7 +1552,7 @@ Project [(INTERVAL '2' YEAR + cast(null as interval year)) AS (INTERVAL '2' YEAR
 -- !query
 select interval '2' year + '3-3'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1574,7 +1574,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' year - '4'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1618,7 +1618,7 @@ CreateViewCommand `interval_view`, select '1' str, false, false, LocalTempView,
 -- !query
 select interval '2' year + str from interval_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1640,7 +1640,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' year - str from interval_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1684,7 +1684,7 @@ Project [cast(cast(str#x as timestamp) + INTERVAL '4 22:12' DAY TO MINUTE as str
 -- !query
 select interval '2-2' year to month + interval '3' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1708,7 +1708,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '3' day + interval '2-2' year to month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1732,7 +1732,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2-2' year to month - interval '3' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1756,7 +1756,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '3' day - interval '2-2' year to month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1778,7 +1778,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 1 - interval '2' second
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1802,7 +1802,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 1 + interval '2' month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1824,7 +1824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' second + 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1848,7 +1848,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' month - 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2694,7 +2694,7 @@ Project [(INTERVAL '-1-1' YEAR TO MONTH = cast(INTERVAL '-13' MONTH as interval
 -- !query
 SELECT INTERVAL 1 MONTH > INTERVAL 20 DAYS
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2716,7 +2716,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY < '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2738,7 +2738,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY = '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2760,7 +2760,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY > '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2782,7 +2782,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' < INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2804,7 +2804,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' = INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2826,7 +2826,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' > INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2848,7 +2848,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR < '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2870,7 +2870,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR = '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2892,7 +2892,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR > '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2914,7 +2914,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' < INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2936,7 +2936,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' = INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2958,7 +2958,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' > INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2994,7 +2994,7 @@ Project [array(cast(INTERVAL '1' DAY as interval day to minute), cast(INTERVAL '
 -- !query
 SELECT array(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3030,7 +3030,7 @@ Project [coalesce(cast(INTERVAL '1' DAY as interval day to minute), cast(INTERVA
 -- !query
 SELECT coalesce(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3094,7 +3094,7 @@ Project [(INTERVAL '1 06' DAY TO HOUR div cast(INTERVAL '-01' HOUR as interval d
 -- !query
 SELECT div(INTERVAL '1' MONTH, INTERVAL '-1' DAY)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
index dd3cf597c95d4..53c7327c58717 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
@@ -474,7 +474,7 @@ Project [3.14 AS 3.14#x, -3.14 AS -3.14#x, 3.14E8 AS 3.14E8#x, 3.14E-8 AS 3.14E-
 -- !query
 select +date '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -498,7 +498,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +timestamp '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -529,7 +529,7 @@ Project [positive(INTERVAL '1' DAY) AS (+ INTERVAL '1' DAY)#x]
 -- !query
 select +map(1, 2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -553,7 +553,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +array(1,2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -577,7 +577,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +named_struct('a', 1, 'b', 'spark')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -601,7 +601,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +X'1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -625,7 +625,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -date '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -649,7 +649,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -timestamp '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -673,7 +673,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -x'2379ACFe'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/map.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/map.sql.out
index c55250e4dcb9b..177f73608fba9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/map.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/map.sql.out
@@ -58,7 +58,7 @@ Project [map_contains_key(map(cast(1.0 as decimal(11,1)), a, cast(2 as decimal(1
 -- !query
 select map_contains_key(map('1', 'a', '2', 'b'), 1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -82,7 +82,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select map_contains_key(map(1, 'a', 2, 'b'), '1')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/string-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/string-functions.sql.out
index 9a66950d36508..f879f2450c99d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/string-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/string-functions.sql.out
@@ -1266,7 +1266,7 @@ Project [to_binary(cast(null as string), Some(cast(null as string)), false) AS t
 -- !query
 select to_binary('abc', 1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1290,7 +1290,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select to_binary('abc', 'invalidFormat')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1322,7 +1322,7 @@ CreateViewCommand `fmtTable`, [(fmtField,None)], SELECT * FROM VALUES ('invalidF
 -- !query
 SELECT to_binary('abc', fmtField) FROM fmtTable
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/timestamp.sql.out
index c4858ac10ae74..d06813dc67513 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/timestamp.sql.out
@@ -595,7 +595,7 @@ select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query
 select timestamp'2011-11-11 11:11:11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -617,7 +617,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -639,7 +639,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + null
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -661,7 +661,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
index e8506a8589d8c..bbc07c22805a6 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
@@ -134,7 +134,7 @@ Project [try_add(INTERVAL '02' SECOND, INTERVAL '02' SECOND) AS try_add(INTERVAL
 -- !query
 SELECT try_add(interval 2 year, interval 2 second)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index 91cbd844d998c..af06b9959ee59 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -170,7 +170,7 @@ Project [sort_array(boolean_array#x, true) AS sort_array(boolean_array, true)#x,
 -- !query
 select sort_array(array('b', 'd'), '1')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -194,7 +194,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select sort_array(array('b', 'd'), cast(NULL as boolean))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -353,7 +353,7 @@ Project [array_size(cast(null as array<void>)) AS array_size(NULL)#x]
 -- !query
 select array_size(map('a', 1, 'b', 2))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -475,7 +475,7 @@ Project [array_insert(array(1, 3, 4), -2, 2) AS array_insert(array(1, 3, 4), -2,
 -- !query
 select array_insert(array(1, 2, 3), 3, "4")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.ARRAY_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -534,7 +534,7 @@ Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1) AS array_insert(
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/bitwise.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/bitwise.sql.out
index ca960fc1aca4b..96a0000f4f77f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/bitwise.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/bitwise.sql.out
@@ -128,7 +128,7 @@ Project [bit_count(-9223372036854775808) AS bit_count(-9223372036854775808)#x]
 -- !query
 select bit_count("bit count")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -152,7 +152,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select bit_count('a')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/column-resolution-aggregate.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/column-resolution-aggregate.sql.out
index eb30443cbae07..0c213899b64e1 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/column-resolution-aggregate.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/column-resolution-aggregate.sql.out
@@ -18,7 +18,7 @@ CreateViewCommand `v2`, VALUES (1, 1, 1), (2, 2, 1) AS t(x, y, all), false, fals
 -- !query
 SELECT max(a) AS b, b FROM v1 GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -52,7 +52,7 @@ Project [a#x]
 -- !query
 SELECT a AS k FROM v1 GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -66,7 +66,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT x FROM v2 GROUP BY all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -80,7 +80,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT a AS all, b FROM v1 GROUP BY all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/columnresolution-negative.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/columnresolution-negative.sql.out
index c80b9e82ab068..c9306e9d937a0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/columnresolution-negative.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/columnresolution-negative.sql.out
@@ -255,7 +255,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT db1.t1.i1 FROM t1, mydb2.t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -289,7 +289,7 @@ SetCatalogAndNamespace
 -- !query
 SELECT mydb1.t1 FROM t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -330,7 +330,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT t1 FROM mydb1.t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -358,7 +358,7 @@ SetCatalogAndNamespace
 -- !query
 SELECT mydb1.t1.i1 FROM t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/csv-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/csv-functions.sql.out
index cfdbc0ce2e9d8..cb3feb8d168bc 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/csv-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/csv-functions.sql.out
@@ -36,7 +36,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select from_csv('1', 'a InvalidType')
 -- !query analysis
-org.apache.spark.sql.catalyst.parser.ParseException
+org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "PARSE_SYNTAX_ERROR",
   "sqlState" : "42601",
@@ -152,7 +152,7 @@ Project [schema_of_csv(1|abc, (delimiter,|)) AS schema_of_csv(1|abc)#x]
 -- !query
 select schema_of_csv(null)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_NULL",
   "sqlState" : "42K09",
@@ -181,7 +181,7 @@ CreateViewCommand `csvTable`, [(csvField,None), (a,None)], SELECT * FROM VALUES
 -- !query
 SELECT schema_of_csv(csvField) FROM csvTable
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-legacy.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-legacy.sql.out
index 6006c0a47ee98..594a30b054edd 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-legacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-legacy.sql.out
@@ -52,7 +52,7 @@ SELECT * FROM
 UNION
 SELECT * FROM cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -327,7 +327,7 @@ WITH
   )
 SELECT * FROM t2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -381,7 +381,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -412,7 +412,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -445,7 +445,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
index 2902f5c130368..d96965edde136 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
@@ -67,7 +67,7 @@ SELECT * FROM
 UNION
 SELECT * FROM cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -513,7 +513,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -546,7 +546,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
index 689bffd58e2dc..bd9b443d01d0a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
@@ -67,7 +67,7 @@ SELECT * FROM
 UNION
 SELECT * FROM cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -589,7 +589,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -622,7 +622,7 @@ SELECT * FROM (
   SELECT * FROM cte_inner
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
index 1c6e6718fc50a..b9a0f776528d8 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
@@ -20,7 +20,7 @@ CreateViewCommand `t2`, select * from values 0, 1 as t(id), false, false, LocalT
 -- !query
 WITH s AS (SELECT 1 FROM s) SELECT * FROM s
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -41,7 +41,7 @@ org.apache.spark.sql.AnalysisException
 WITH r AS (SELECT (SELECT * FROM r))
 SELECT * FROM r
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -79,7 +79,7 @@ WithCTE
 -- !query
 WITH s1 AS (SELECT 1 FROM s2), s2 AS (SELECT 1 FROM s1) SELECT * FROM s1, s2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -251,7 +251,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 WITH t AS (SELECT 1 FROM non_existing_table)
 SELECT 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -430,7 +430,7 @@ WithCTE
 with cte as (select id as id_alias from t)
 select id from cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -453,7 +453,7 @@ with r1 as (select * from r2),
      r2 as (select 1)
 select 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -521,7 +521,7 @@ SELECT * FROM
   (WITH q AS (select 1 x) SELECT x+1 AS y FROM q),
   q
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -728,7 +728,7 @@ WithCTE
 -- !query
 with cte AS (SELECT * FROM va) SELECT * FROM cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -748,7 +748,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 with cte as (select * from cte) select * from cte
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/date.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/date.sql.out
index 42ea145c90fec..227127a353df0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/date.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/date.sql.out
@@ -283,7 +283,7 @@ Project [date_add(cast(2011-11-11 as date), 1) AS date_add(2011-11-11, 1)#x]
 -- !query
 select date_add('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -307,7 +307,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -331,7 +331,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -427,7 +427,7 @@ Project [date_sub(cast(2011-11-11 as date), 1) AS date_sub(2011-11-11, 1)#x]
 -- !query
 select date_sub('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -451,7 +451,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -475,7 +475,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -543,7 +543,7 @@ Project [date_sub(cast(2011-11-11 12:12:12 as date), 1) AS date_sub(TIMESTAMP_NT
 -- !query
 select date_add('2011-11-11', int_str) from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -567,7 +567,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', int_str) from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -613,7 +613,7 @@ Project [date_sub(cast(date_str#x as date), 1) AS date_sub(date_str, 1)#x]
 -- !query
 select date '2011-11-11' + 1E1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -661,7 +661,7 @@ select date '2001-10-01' - date '2001-09-28'
 -- !query
 select date '2001-10-01' - '2001-09-28'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -709,7 +709,7 @@ select date_str - date '2001-09-28' from date_view
 -- !query
 select date '2001-09-28' - date_str from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -733,7 +733,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date'2011-11-11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -757,7 +757,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + date'2011-11-11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/datetime-legacy.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/datetime-legacy.sql.out
index 524a87262b2f2..8ae2893a0a8d1 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/datetime-legacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/datetime-legacy.sql.out
@@ -283,7 +283,7 @@ Project [date_add(cast(2011-11-11 as date), 1) AS date_add(2011-11-11, 1)#x]
 -- !query
 select date_add('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -307,7 +307,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -331,7 +331,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_add('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -427,7 +427,7 @@ Project [date_sub(cast(2011-11-11 as date), 1) AS date_sub(2011-11-11, 1)#x]
 -- !query
 select date_sub('2011-11-11', 1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -451,7 +451,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -475,7 +475,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', 1E1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -543,7 +543,7 @@ Project [date_sub(cast(2011-11-11 12:12:12 as date), 1) AS date_sub(TIMESTAMP_NT
 -- !query
 select date_add('2011-11-11', int_str) from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -567,7 +567,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date_sub('2011-11-11', int_str) from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -613,7 +613,7 @@ Project [date_sub(cast(date_str#x as date), 1) AS date_sub(date_str, 1)#x]
 -- !query
 select date '2011-11-11' + 1E1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -661,7 +661,7 @@ select date '2001-10-01' - date '2001-09-28'
 -- !query
 select date '2001-10-01' - '2001-09-28'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -709,7 +709,7 @@ select date_str - date '2001-09-28' from date_view
 -- !query
 select date '2001-09-28' - date_str from date_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -733,7 +733,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select date'2011-11-11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -757,7 +757,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + date'2011-11-11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1582,7 +1582,7 @@ select timestamp'2019-10-06 10:11:12.345678' - date'2020-01-01'
 -- !query
 select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1606,7 +1606,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1650,7 +1650,7 @@ CreateViewCommand `ts_view`, select '2011-11-11 11:11:11' str, false, false, Loc
 -- !query
 select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1674,7 +1674,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1698,7 +1698,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1720,7 +1720,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1742,7 +1742,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + null
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1764,7 +1764,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/double-quoted-identifiers.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/double-quoted-identifiers.sql.out
index d7587b0b65883..d73b72eca3e21 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/double-quoted-identifiers.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/double-quoted-identifiers.sql.out
@@ -114,7 +114,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 -- !query
 SELECT 1 FROM `hello`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -147,7 +147,7 @@ org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
 -- !query
 ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -167,7 +167,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -187,7 +187,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -207,7 +207,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 FROM not_exist AS X(`hello`)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/except-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/except-all.sql.out
index dedc3f93ba636..fc648785cb538 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/except-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/except-all.sql.out
@@ -199,7 +199,7 @@ SELECT * FROM tab1
 EXCEPT ALL
 SELECT array(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -376,7 +376,7 @@ SELECT k FROM tab3
 EXCEPT ALL
 SELECT k, v FROM tab4
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-analytics.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-analytics.sql.out
index 327caef217a32..592a19f593cf7 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-analytics.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-analytics.sql.out
@@ -330,7 +330,7 @@ Aggregate [course#x, year#x, spark_grouping_id#xL], [course#x, year#x, cast((shi
 -- !query
 SELECT course, year, GROUPING(course) FROM courseSales GROUP BY course, year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
@@ -346,7 +346,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT course, year, GROUPING_ID(course, year) FROM courseSales GROUP BY course, year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-duckdb.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-duckdb.sql.out
index 53863a8120249..59ecafccbeb4b 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-duckdb.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-duckdb.sql.out
@@ -73,7 +73,7 @@ Sort [((g + i) % 2)#x ASC NULLS FIRST], true
 -- !query
 SELECT (g+i)%2 + SUM(i), SUM(i), SUM(g) FROM integers GROUP BY ALL ORDER BY 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -126,7 +126,7 @@ Sort [c0#x ASC NULLS FIRST], true
 -- !query
 SELECT c0 FROM (SELECT 1 c0, 1 c1 UNION ALL SELECT 1, 2) t0 GROUP BY ALL HAVING c1>0 ORDER BY c0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-mosha.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-mosha.sql.out
index a9fc06c1f523b..f63f3e8c8452c 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-mosha.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all-mosha.sql.out
@@ -72,7 +72,7 @@ Sort [(i + 1)#x ASC NULLS FIRST, substring(s, 2, 3)#x ASC NULLS FIRST, extract(y
 -- !query
 SELECT i + SUM(f) FROM stuff GROUP BY ALL
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -130,7 +130,7 @@ Filter (si#xL < cast(2 as bigint))
 -- !query
 SELECT SUM(i) si FROM stuff GROUP BY ALL HAVING i > 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -151,7 +151,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT SUM(i) si FROM stuff GROUP BY ALL ORDER BY i DESC
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all.sql.out
index d193e97f79b5b..529141e069351 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-all.sql.out
@@ -224,7 +224,7 @@ Aggregate [count(1) AS count(1)#xL]
 -- !query
 select id + count(*) from data group by all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -241,7 +241,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select (id + id) / 2 + count(*) * 2 from data group by all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -315,7 +315,7 @@ Aggregate [country#x, scalar-subquery#x [country#x]], [country#x, scalar-subquer
 -- !query
 select (select count(*) from data d1 where d1.country = d2.country) + count(id) from data d2 group by all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -332,7 +332,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select non_exist from data group by all
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-filter.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-filter.sql.out
index 7b221d8036d60..df2e409fafe77 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-filter.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-filter.sql.out
@@ -67,7 +67,7 @@ AS DEPT(dept_id, dept_name, state), false, true, LocalTempView, true
 -- !query
 SELECT a, COUNT(b) FILTER (WHERE a >= 2) FROM testData
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -324,7 +324,7 @@ Aggregate [a#x], [a#x, count(b#x) FILTER (WHERE (a#x >= 2)) AS count(b) FILTER (
 -- !query
 SELECT a, COUNT(b) FILTER (WHERE a != 2) FROM testData GROUP BY b
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -754,7 +754,7 @@ Aggregate [(a#x + b#x)], [(a#x + b#x) AS (a + b)#x, count(b#x) FILTER (WHERE (b#
 -- !query
 SELECT a + 2, COUNT(b) FILTER (WHERE b IN (1, 2)) FROM testData GROUP BY a + 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index e12af0103d43d..67e1ddd32ea80 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -15,7 +15,7 @@ AS testData(a, b), false, true, LocalTempView, true
 -- !query
 SELECT a, COUNT(b) FROM testData
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -56,7 +56,7 @@ Aggregate [a#x], [a#x, count(b#x) AS count(b)#xL]
 -- !query
 SELECT a, COUNT(b) FROM testData GROUP BY b
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -145,7 +145,7 @@ Aggregate [(a#x + b#x)], [(a#x + b#x) AS (a + b)#x, count(b#x) AS count(b)#xL]
 -- !query
 SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -230,7 +230,7 @@ Filter (k#x > 1)
 -- !query
 SELECT a AS k, COUNT(non_existing) FROM testData GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -251,7 +251,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT COUNT(b) AS k FROM testData GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "GROUP_BY_AGGREGATE",
   "sqlState" : "42903",
@@ -282,7 +282,7 @@ CreateViewCommand `testDataHasSameNameWithAlias`, SELECT * FROM VALUES
 -- !query
 SELECT k AS a, COUNT(v) FROM testDataHasSameNameWithAlias GROUP BY a
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -302,7 +302,7 @@ SetCommand (spark.sql.groupByAliases,Some(false))
 -- !query
 SELECT a AS k, COUNT(b) FROM testData GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -410,7 +410,7 @@ Project [1#x]
 -- !query
 SELECT id FROM range(10) HAVING id > 0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -441,7 +441,7 @@ Filter cast(true as boolean)
 -- !query
 SELECT 1 FROM range(10) HAVING MAX(id) > 0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -628,7 +628,7 @@ Aggregate [k#x], [k#x, every(v#x) AS every#x]
 -- !query
 SELECT every(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -652,7 +652,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT some(1S)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -676,7 +676,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT any(1L)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -700,7 +700,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT every("true")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -724,7 +724,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT bool_and(1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -748,7 +748,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT bool_or(1.0D)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -888,7 +888,7 @@ Project [cnt#xL]
 -- !query
 SELECT count(*) FROM test_agg WHERE count(*) > 1L
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -909,7 +909,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT count(*) FROM test_agg WHERE count(*) + 1L > 1L
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -930,7 +930,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT count(*) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/grouping_set.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/grouping_set.sql.out
index 8073cc8acc356..bb453923ce954 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/grouping_set.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/grouping_set.sql.out
@@ -187,7 +187,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 -- !query
 SELECT c1 FROM (values (1,2), (3,2)) t(c1, c2) GROUP BY GROUPING SETS (())
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/having.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/having.sql.out
index ec67de27390b5..12eb5a34146a2 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/having.sql.out
@@ -48,7 +48,7 @@ Project [count(k)#xL]
 -- !query
 SELECT count(k) FROM hav GROUP BY v HAVING v = array(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/hll.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/hll.sql.out
index 58391c0054c76..cd6fcc7c459b8 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/hll.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/hll.sql.out
@@ -80,7 +80,7 @@ Aggregate [hll_sketch_estimate(hll_union_agg(sketch#x, true, 0, 0)) AS hll_sketc
 SELECT hll_sketch_agg(col)
 FROM VALUES (ARRAY(1, 2)), (ARRAY(3, 4)) tab(col)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -163,7 +163,7 @@ SELECT hll_union(1, 2)
     (2, 5),
     (3, 6) AS tab(col1, col2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
index 367d492905d5e..00e2d8ff8ae75 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
@@ -890,7 +890,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 -- !query
 SELECT IDENTIFIER('t').c1 FROM VALUES(1) AS T(c1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
index 105741b80a20f..2535544343d2d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
@@ -161,7 +161,7 @@ SELECT * FROM tab1
 INTERSECT ALL
 SELECT array(1), 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -188,7 +188,7 @@ SELECT k FROM tab1
 INTERSECT ALL
 SELECT k, v FROM tab2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
index 19abe19e4c656..337edd5980c39 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
@@ -159,7 +159,7 @@ Project [(INTERVAL '2' YEAR * cast(a as double)) AS (INTERVAL '2' YEAR * a)#x]
 -- !query
 select '2' / interval 2 second
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -181,7 +181,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '2' / interval 2 year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -259,7 +259,7 @@ Project [(INTERVAL '2' YEAR * cast(null as double)) AS (INTERVAL '2' YEAR * NULL
 -- !query
 select 2 / interval '2' year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -281,7 +281,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 2 / interval '2' hour
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -303,7 +303,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null / interval '2' year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -325,7 +325,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null / interval '2' hour
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1515,7 +1515,7 @@ select
   '4 day' + interval '10' day,
   '4 22 day to hour' - interval '10' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1552,7 +1552,7 @@ Project [(INTERVAL '2' YEAR + cast(null as interval year)) AS (INTERVAL '2' YEAR
 -- !query
 select interval '2' year + '3-3'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1574,7 +1574,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' year - '4'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1618,7 +1618,7 @@ CreateViewCommand `interval_view`, select '1' str, false, false, LocalTempView,
 -- !query
 select interval '2' year + str from interval_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1640,7 +1640,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' year - str from interval_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1684,7 +1684,7 @@ Project [cast(cast(str#x as timestamp) + INTERVAL '4 22:12' DAY TO MINUTE as str
 -- !query
 select interval '2-2' year to month + interval '3' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1708,7 +1708,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '3' day + interval '2-2' year to month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1732,7 +1732,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2-2' year to month - interval '3' day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1756,7 +1756,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '3' day - interval '2-2' year to month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1778,7 +1778,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 1 - interval '2' second
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1802,7 +1802,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select 1 + interval '2' month
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1824,7 +1824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' second + 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1848,7 +1848,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval '2' month - 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2694,7 +2694,7 @@ Project [(INTERVAL '-1-1' YEAR TO MONTH = cast(INTERVAL '-13' MONTH as interval
 -- !query
 SELECT INTERVAL 1 MONTH > INTERVAL 20 DAYS
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2716,7 +2716,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY < '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2738,7 +2738,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY = '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2760,7 +2760,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' DAY > '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2782,7 +2782,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' < INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2804,7 +2804,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' = INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2826,7 +2826,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' > INTERVAL '1' DAY
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2848,7 +2848,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR < '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2870,7 +2870,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR = '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2892,7 +2892,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT INTERVAL '1' YEAR > '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2914,7 +2914,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' < INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2936,7 +2936,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' = INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2958,7 +2958,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' > INTERVAL '1' YEAR
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2994,7 +2994,7 @@ Project [array(cast(INTERVAL '1' DAY as interval day to minute), cast(INTERVAL '
 -- !query
 SELECT array(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3030,7 +3030,7 @@ Project [coalesce(cast(INTERVAL '1' DAY as interval day to minute), cast(INTERVA
 -- !query
 SELECT coalesce(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3094,7 +3094,7 @@ Project [(INTERVAL '1 06' DAY TO HOUR div cast(INTERVAL '-01' HOUR as interval d
 -- !query
 SELECT div(INTERVAL '1' MONTH, INTERVAL '-1' DAY)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
index a9bfbc69cf245..4c032b7cbf9a2 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
@@ -443,7 +443,7 @@ Project [c1#x, c2#x, c1#x, c2#x, (outer(spark_catalog.default.t1.c2) + outer(spa
 -- !query
 SELECT * FROM t1 JOIN LATERAL (SELECT t1.c1 AS a, t2.c1 AS b) s JOIN t2 ON s.b = t2.c1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -475,7 +475,7 @@ SELECT x FROM (SELECT SUM(c1) AS x FROM t1), LATERAL (SELECT x + rand(0) AS y)
 -- !query
 SELECT * FROM t1, LATERAL (SELECT c1 + c2 + rand(0) AS c3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.NON_DETERMINISTIC_LATERAL_SUBQUERIES",
   "sqlState" : "0A000",
@@ -495,7 +495,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM t1, LATERAL (SELECT rand(0) FROM t2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.NON_DETERMINISTIC_LATERAL_SUBQUERIES",
   "sqlState" : "0A000",
@@ -515,7 +515,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM t1 JOIN LATERAL (SELECT * FROM t2) s ON t1.c1 + rand(0) = s.c1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.LATERAL_JOIN_CONDITION_NON_DETERMINISTIC",
   "sqlState" : "0A000",
@@ -655,7 +655,7 @@ Project [c1#x, c2#x, c1#x, m#x, m#x]
 -- !query
 SELECT * FROM t1, LATERAL (SELECT * FROM t2, LATERAL (SELECT t1.c1 + t2.c1))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -675,7 +675,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM t1, LATERAL (SELECT * FROM (SELECT c1), LATERAL (SELECT c2))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -736,7 +736,7 @@ Project [c1#x, c2#x, scalarsubquery(a)#xL]
 -- !query
 SELECT * FROM t1, LATERAL (SELECT c1, (SELECT SUM(c2) FROM t2 WHERE c1 = t1.c1))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -1384,7 +1384,7 @@ SELECT * FROM t1 JOIN LATERAL
   FROM   t2
   WHERE  t2.c1 >= t1.c1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1915,7 +1915,7 @@ SELECT * FROM t1 JOIN LATERAL
   WHERE  t4.c1 > t1.c2
   GROUP BY t4.c2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1941,7 +1941,7 @@ SELECT * FROM t1 JOIN LATERAL
   SELECT t4.c2
   FROM   t4)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -2211,7 +2211,7 @@ SELECT * FROM t1 JOIN LATERAL (SELECT sum(c1) FROM
   ON lhs.c1 <=> rhs.c1 and lhs.c2 <=> rhs.c2
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -2768,7 +2768,7 @@ Project [col0#x, col1#x]
 -- !query
 SELECT t.* FROM t1, LATERAL stack(c1, c2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/json-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/json-functions.sql.out
index 79a6bc7de7fd5..42b1ab8587bc4 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/json-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/json-functions.sql.out
@@ -152,7 +152,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select from_json('{"a":1}', 'a InvalidType')
 -- !query analysis
-org.apache.spark.sql.catalyst.parser.ParseException
+org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "PARSE_SYNTAX_ERROR",
   "sqlState" : "42601",
@@ -428,7 +428,7 @@ Project [schema_of_json({"c1":01, "c2":0.1}, (allowNumericLeadingZeros,true), (p
 -- !query
 select schema_of_json(null)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_NULL",
   "sqlState" : "42K09",
@@ -457,7 +457,7 @@ CreateViewCommand `jsonTable`, [(jsonField,None), (a,None)], SELECT * FROM VALUE
 -- !query
 SELECT schema_of_json(jsonField) FROM jsonTable
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -487,7 +487,7 @@ Project [json_array_length(null) AS json_array_length(NULL)#x]
 -- !query
 select json_array_length(2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -620,7 +620,7 @@ Project [json_object_keys(null) AS json_object_keys(NULL)#x]
 -- !query
 select json_object_keys(200)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/limit.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/limit.sql.out
index f041026f30887..d76a6685c1051 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/limit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/limit.sql.out
@@ -52,7 +52,7 @@ GlobalLimit cast(1 as int)
 -- !query
 SELECT * FROM testdata LIMIT -1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NEGATIVE",
   "messageParameters" : {
@@ -73,7 +73,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM testData TABLESAMPLE (-1 ROWS)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NEGATIVE",
   "messageParameters" : {
@@ -104,7 +104,7 @@ GlobalLimit cast(1 as int)
 -- !query
 SELECT * FROM testdata LIMIT CAST(NULL AS INT)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NULL",
   "messageParameters" : {
@@ -124,7 +124,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM testdata LIMIT key > 3
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
@@ -144,7 +144,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM testdata LIMIT true
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.DATA_TYPE",
   "messageParameters" : {
@@ -158,7 +158,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM testdata LIMIT 'a'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.DATA_TYPE",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
index dd3cf597c95d4..53c7327c58717 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
@@ -474,7 +474,7 @@ Project [3.14 AS 3.14#x, -3.14 AS -3.14#x, 3.14E8 AS 3.14E8#x, 3.14E-8 AS 3.14E-
 -- !query
 select +date '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -498,7 +498,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +timestamp '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -529,7 +529,7 @@ Project [positive(INTERVAL '1' DAY) AS (+ INTERVAL '1' DAY)#x]
 -- !query
 select +map(1, 2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -553,7 +553,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +array(1,2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -577,7 +577,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +named_struct('a', 1, 'b', 'spark')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -601,7 +601,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select +X'1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -625,7 +625,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -date '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -649,7 +649,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -timestamp '1999-01-01'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -673,7 +673,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select -x'2379ACFe'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/map.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/map.sql.out
index 79b12dc689114..cd8f0e043b9ae 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/map.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/map.sql.out
@@ -58,7 +58,7 @@ Project [map_contains_key(map(cast(1.0 as decimal(11,1)), a, cast(2 as decimal(1
 -- !query
 select map_contains_key(map('1', 'a', '2', 'b'), 1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -82,7 +82,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select map_contains_key(map(1, 'a', 2, 'b'), '1')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/mask-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/mask-functions.sql.out
index 1abe00ad4709f..a339dbf5718cd 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/mask-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/mask-functions.sql.out
@@ -37,7 +37,7 @@ Project [mask(AbCD123-@$#, Q, q, d, o) AS mask(AbCD123-@$#, Q, q, d, o)#x]
 -- !query
 SELECT mask('AbCD123-@$#', 'Qa', 'qa', 'da', 'oa')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
@@ -403,7 +403,7 @@ Project [mask(c1#x, null, null, null, null) AS mask(c1, NULL, NULL, NULL, NULL)#
 -- !query
 SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 'a') as t(c1, replaceArg)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -426,7 +426,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 'ABC') as t(c1, replaceArg)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -449,7 +449,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 123) as t(c1, replaceArg)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -473,7 +473,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT mask('abcd-EFGH-8765-4321', 'A', 'w', '')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT mask('abcd-EFGH-8765-4321', 'A', 'abc')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
index e01e0ca5ee011..650b61b419245 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
@@ -200,7 +200,7 @@ CreateViewCommand `v`, SELECT id FROM range(0, 8), false, true, LocalTempView, t
 -- !query
 SELECT * FROM explode(collection => TABLE(v))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/natural-join.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/natural-join.sql.out
index 987fb3e0a09c8..41c8876a7d256 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/natural-join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/natural-join.sql.out
@@ -488,7 +488,7 @@ Project [v1#x, k#x]
 -- !query
 SELECT nt2.k FROM (SELECT * FROM nt1 natural join nt2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/order-by-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/order-by-all.sql.out
index 454fff744c40b..71f3366245930 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/order-by-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/order-by-all.sql.out
@@ -232,7 +232,7 @@ Sort [all#x ASC NULLS FIRST], true
 select name, dept, rank() over (partition by dept order by all) as rank
 from values('Lisa', 'Sales', 10000, 35) as T(name, dept, salary, age)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
index 7a72df5a3e362..fa7529b594eae 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
@@ -204,7 +204,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -230,7 +230,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -255,7 +255,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -281,7 +281,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -307,7 +307,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -332,7 +332,7 @@ SELECT
 FROM basic_pays
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -414,7 +414,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ORDER BY salary)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -441,7 +441,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ORDER BY salary)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -467,7 +467,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ORDER BY salary)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -494,7 +494,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -521,7 +521,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -547,7 +547,7 @@ FROM basic_pays
 WINDOW w AS (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING)
 ORDER BY salary
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/pivot.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/pivot.sql.out
index d7b77f8ce01fe..ead14bdd882d5 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/pivot.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/pivot.sql.out
@@ -346,7 +346,7 @@ PIVOT (
   FOR year IN (2012, 2013)
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -396,7 +396,7 @@ PIVOT (
   FOR course IN ('dotNET', 'Java')
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
@@ -504,7 +504,7 @@ PIVOT (
   FOR year IN (s, 2013)
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part1.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part1.sql.out
index a17627aa8cb18..beb30cb5e5bf7 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part1.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part1.sql.out
@@ -503,7 +503,7 @@ select
   (select max((select i.unique2 from tenk1 i where i.unique1 = o.unique1)))
 from tenk1 o
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part3.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part3.sql.out
index 2866c7d26c97f..2256213b63ff7 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part3.sql.out
@@ -2,7 +2,7 @@
 -- !query
 select max(min(unique1)) from tenk1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
index ac6ee2af69d23..b199cb55f2a44 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
@@ -67,7 +67,7 @@ org.apache.spark.sql.AnalysisException
 CREATE VIEW key_dependent_view_no_cols AS
    SELECT FROM view_base_table GROUP BY key HAVING length(data) > 0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -545,7 +545,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 CREATE VIEW v10_temp AS SELECT * FROM v7_temp
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -565,7 +565,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 CREATE VIEW v11_temp AS SELECT t1.id, t2.a FROM base_table t1, v10_temp t2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -585,7 +585,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 CREATE VIEW v12_temp AS SELECT true FROM v11_temp
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/join.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/join.sql.out
index 511c0b397be36..cf5c79333e839 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/join.sql.out
@@ -3008,7 +3008,7 @@ org.apache.spark.sql.AnalysisException
 select * from
   int8_tbl x join (int4_tbl x cross join int4_tbl y) j on q1 = y.f1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3065,7 +3065,7 @@ Project [q1#xL, q2#xL, f1#x, ff#x]
 select t1.uunique1 from
   tenk1 t1 join tenk2 t2 on t1.two = t2.two
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3087,7 +3087,7 @@ org.apache.spark.sql.AnalysisException
 select t2.uunique1 from
   tenk1 t1 join tenk2 t2 on t1.two = t2.two
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3109,7 +3109,7 @@ org.apache.spark.sql.AnalysisException
 select uunique1 from
   tenk1 t1 join tenk2 t2 on t1.two = t2.two
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3433,7 +3433,7 @@ Project [q1#xL, q2#xL, bq1#xL, cq1#xL, least(outer(a.q1), q1, q1)#xL]
 -- !query
 select f1,g from int4_tbl a, (select f1 as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3453,7 +3453,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select f1,g from int4_tbl a, (select a.f1 as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3473,7 +3473,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select f1,g from int4_tbl a cross join (select f1 as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3493,7 +3493,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select f1,g from int4_tbl a cross join (select a.f1 as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/limit.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/limit.sql.out
index 495f425dd5ee7..2105423dcdd72 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/limit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/limit.sql.out
@@ -139,7 +139,7 @@ CreateViewCommand `INT8_TBL`, SELECT * FROM
 -- !query
 select * from int8_tbl limit (case when random() < 0.5 then bigint(null) end)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
@@ -159,7 +159,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from int8_tbl offset (case when random() < 0.5 then bigint(null) end)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/numeric.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/numeric.sql.out
index 536631179d838..418e3b2626f89 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/numeric.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/numeric.sql.out
@@ -4519,7 +4519,7 @@ Project [ AS to_number_1#x, to_number(-34,338,492, 99G999G999) AS to_number(-34,
 -- !query
 SELECT '' AS to_number_2,  to_number('-34,338,492.654,878', '99G999G999D999G999')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_FORMAT.THOUSANDS_SEPS_MUST_BEFORE_DEC",
   "sqlState" : "42601",
@@ -4574,7 +4574,7 @@ Project [ AS to_number_14#x, to_number(34,50, 999,99) AS to_number(34,50, 999,99
 -- !query
 SELECT '' AS to_number_15, to_number('123,000','999G')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_FORMAT.CONT_THOUSANDS_SEPS",
   "sqlState" : "42601",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_having.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_having.sql.out
index 15df35070603e..215e93abb5a51 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_having.sql.out
@@ -142,7 +142,7 @@ Filter (min(a)#x < max(a)#x)
 -- !query
 SELECT a FROM test_having HAVING min(a) < max(a)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -159,7 +159,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS one FROM test_having HAVING a > 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_implicit.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_implicit.sql.out
index 687eeee8f6ac7..d2e8345fc9427 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_implicit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/select_implicit.sql.out
@@ -107,7 +107,7 @@ Project [count(1)#xL]
 -- !query
 SELECT count(*) FROM test_missing_target GROUP BY a ORDER BY b
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -319,7 +319,7 @@ Project [count(c)#xL]
 -- !query
 SELECT count(a) FROM test_missing_target GROUP BY a ORDER BY b
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/union.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/union.sql.out
index 56975bd020e1d..343767d49b0dd 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/union.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/union.sql.out
@@ -996,7 +996,7 @@ Sort [q2#xL ASC NULLS FIRST, q1#xL ASC NULLS FIRST], true
 -- !query
 SELECT q1 FROM int8_tbl EXCEPT SELECT q2 FROM int8_tbl ORDER BY q2 LIMIT 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
index 020cdbf375c5e..6b6a37b4e7fb4 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
@@ -231,7 +231,7 @@ select f1, sum(f1) over (partition by f1
                          range between 1 preceding and 1 following)
 from t1 where f1 = f2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -315,7 +315,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT * FROM empsalary INNER JOIN tenk1 ON row_number() OVER (ORDER BY salary) < 10
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_EXPR_FOR_OPERATOR",
   "messageParameters" : {
@@ -334,7 +334,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT rank() OVER (ORDER BY 1), count(*) FROM empsalary GROUP BY 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_EXPR_FOR_OPERATOR",
   "messageParameters" : {
@@ -426,7 +426,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT ntile(0) OVER (ORDER BY ten), ten, four FROM tenk1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
@@ -449,7 +449,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT nth_value(four, 0) OVER (ORDER BY ten), ten, four FROM tenk1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
index e53480e96bed8..c978c583152c5 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
@@ -240,7 +240,7 @@ WITH outermost(x) AS (
 )
 SELECT * FROM outermost ORDER BY 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -424,7 +424,7 @@ WithCTE
 -- !query
 WITH test AS (SELECT 42) INSERT INTO test VALUES (1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/query_regex_column.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/query_regex_column.sql.out
index 4e75fb74de30b..c8e9dcde44781 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/query_regex_column.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/query_regex_column.sql.out
@@ -34,7 +34,7 @@ AS testData2(A, B, c, d), false, true, LocalTempView, true
 -- !query
 SELECT `(a)?+.+` FROM testData2 WHERE a = 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -55,7 +55,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT t.`(a)?+.+` FROM testData2 t WHERE a = 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -76,7 +76,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT `(a|b)` FROM testData2 WHERE a = 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -97,7 +97,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT `(a|b)?+.+` FROM testData2 WHERE a = 2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -118,7 +118,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT SUM(`(a|b)?+.+`) FROM testData2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -139,7 +139,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT SUM(`(a)`) FROM testData2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -456,7 +456,7 @@ Aggregate [a#x], [sum(a#x) AS sum(a)#xL]
 -- !query
 SELECT SUM(a) FROM testdata3 GROUP BY `(a)`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -477,7 +477,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT SUM(a) FROM testdata3 GROUP BY `(a)?+.+`
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/random.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/random.sql.out
index de5dc246c0e87..e0c051e0a9349 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/random.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/random.sql.out
@@ -26,7 +26,7 @@ SELECT rand(cast(NULL AS int))
 -- !query
 SELECT rand(1.0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -74,7 +74,7 @@ SELECT randn(cast(NULL AS long))
 -- !query
 SELECT rand('1')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/regexp-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/regexp-functions.sql.out
index 1d30315e3f919..cd6b95e75f1d8 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/regexp-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/regexp-functions.sql.out
@@ -234,7 +234,7 @@ Project [regexp_replace(healthy, wealthy, and wise, \w+thy, something, 1) AS reg
 -- !query
 SELECT regexp_replace('healthy, wealthy, and wise', '\\w+thy', 'something', -2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
@@ -257,7 +257,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT regexp_replace('healthy, wealthy, and wise', '\\w+thy', 'something', 0)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/show_columns.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/show_columns.sql.out
index 3c790c07891d4..55c744a8c0726 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/show_columns.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/show_columns.sql.out
@@ -66,7 +66,7 @@ ShowColumnsCommand showdb, `spark_catalog`.`showdb`.`showcolumn2`, [col_name#x]
 -- !query
 SHOW COLUMNS IN badtable FROM showdb
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -111,7 +111,7 @@ ShowColumnsCommand `showcolumn3`, [col_name#x]
 -- !query
 SHOW COLUMNS IN showdb.showcolumn3
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -131,7 +131,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SHOW COLUMNS IN showcolumn3 FROM showdb
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -151,7 +151,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SHOW COLUMNS IN showcolumn4
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/string-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/string-functions.sql.out
index 9a66950d36508..f879f2450c99d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/string-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/string-functions.sql.out
@@ -1266,7 +1266,7 @@ Project [to_binary(cast(null as string), Some(cast(null as string)), false) AS t
 -- !query
 select to_binary('abc', 1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1290,7 +1290,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select to_binary('abc', 'invalidFormat')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1322,7 +1322,7 @@ CreateViewCommand `fmtTable`, [(fmtField,None)], SELECT * FROM VALUES ('invalidF
 -- !query
 SELECT to_binary('abc', fmtField) FROM fmtTable
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
index 8ea5bf7baf1c2..7d098783eba9c 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
@@ -685,7 +685,7 @@ WHERE  EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -713,7 +713,7 @@ WHERE NOT EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -741,7 +741,7 @@ WHERE  EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -769,7 +769,7 @@ WHERE EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -797,7 +797,7 @@ WHERE  EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -825,7 +825,7 @@ WHERE  EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -853,7 +853,7 @@ WHERE NOT EXISTS (SELECT *
                FROM   dept
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -881,7 +881,7 @@ WHERE NOT EXISTS (SELECT *
                FROM   dept 
                WHERE  dept_id = emp.dept_id and state = "TX")
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-basic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-basic.sql.out
index 8541900a0eae4..bfb89e61a6688 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-basic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-basic.sql.out
@@ -50,7 +50,7 @@ Project [1 AS 1#x]
 -- !query
 select 1 from tab_a where (a1, b1) not in (select (a2, b2) from tab_b)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-set-operations.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-set-operations.sql.out
index 937173cac7438..f088251de621f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-set-operations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-set-operations.sql.out
@@ -1313,7 +1313,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1340,7 +1340,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1367,7 +1367,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1394,7 +1394,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1421,7 +1421,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1448,7 +1448,7 @@ WHERE  t1a IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1475,7 +1475,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1502,7 +1502,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1529,7 +1529,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1556,7 +1556,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1583,7 +1583,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1610,7 +1610,7 @@ WHERE  t1a NOT IN (SELECT t2a
                SELECT t3a
                FROM   t3)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/invalid-correlation.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/invalid-correlation.sql.out
index 2992bc6c9a111..e17633460e0cb 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/invalid-correlation.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/invalid-correlation.sql.out
@@ -49,7 +49,7 @@ AND    t2b = (SELECT max(avg)
                      )
              )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -74,7 +74,7 @@ WHERE  t1a IN (SELECT   min(t2a)
                                 GROUP BY t3b
                                 HAVING   t3b > t2b ))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_MISSING_FROM_INPUT",
   "messageParameters" : {
@@ -153,7 +153,7 @@ WHERE  t1a IN (SELECT t2a
                WHERE  EXISTS (SELECT min(t2a) 
                               FROM   t3))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -189,7 +189,7 @@ FROM   t1
 JOIN   t1_copy
 ON     EXISTS (SELECT 1 FROM t2 WHERE t2a > t1a)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/subq-input-typecheck.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/subq-input-typecheck.sql.out
index 864c589184e5d..e550e52bf64b0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/subq-input-typecheck.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/negative-cases/subq-input-typecheck.sql.out
@@ -73,7 +73,7 @@ SELECT
   )
 FROM t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_SUBQUERY_EXPRESSION.SCALAR_SUBQUERY_RETURN_MORE_THAN_ONE_OUTPUT_COLUMN",
   "sqlState" : "42823",
@@ -99,7 +99,7 @@ SELECT
   )
 FROM t1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_SUBQUERY_EXPRESSION.SCALAR_SUBQUERY_RETURN_MORE_THAN_ONE_OUTPUT_COLUMN",
   "sqlState" : "42823",
@@ -123,7 +123,7 @@ t1a IN (SELECT t2a, t2b
         FROM t2
         WHERE t1a = t2a)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
@@ -151,7 +151,7 @@ WHERE
                FROM t2
                WHERE t1a = t2a)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
@@ -180,7 +180,7 @@ WHERE
                            t5c
                     FROM t5)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_DATA_TYPE_MISMATCH",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
index 311f3803902e3..a55b1e717be15 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
@@ -1189,7 +1189,7 @@ SELECT * FROM t0 WHERE t0a <
   FROM   t2)
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
index 0f53d05ac3e7d..790d9da94e149 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
@@ -299,7 +299,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -603,7 +603,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -899,7 +899,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1195,7 +1195,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1491,7 +1491,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1787,7 +1787,7 @@ SELECT t0a, (SELECT sum(d) FROM
 )
 FROM t0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/table-aliases.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/table-aliases.sql.out
index f15382d66a56c..0c8d0b8f2693f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/table-aliases.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/table-aliases.sql.out
@@ -95,7 +95,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT a AS col1, b AS col2 FROM testData AS t(c, d)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
index 6c29a0ec1db77..2b292eb6895be 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/table-valued-functions.sql.out
@@ -214,7 +214,7 @@ select * from explode(array(rand(0)))
 -- !query
 select * from explode(null)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -238,7 +238,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from explode(null) t(c1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -262,7 +262,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from explode(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -428,7 +428,7 @@ Project [col1#x, col2#x]
 -- !query
 select * from inline(null)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -541,7 +541,7 @@ Project [pos#x, k#x, v#x]
 -- !query
 select * from posexplode(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -735,7 +735,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from json_tuple('{"a": 1}', 1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_STRING_TYPE",
   "sqlState" : "42K09",
@@ -756,7 +756,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from json_tuple('{"a": 1}', null)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_STRING_TYPE",
   "sqlState" : "42K09",
@@ -891,7 +891,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select * from stack(2, 1, '1.1', 'a', 2, 2.2, 'b')
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.STACK_COLUMN_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/timestamp.sql.out
index 856c317d13745..12fa38ac3c3a0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/timestamp.sql.out
@@ -551,7 +551,7 @@ select timestamp'2019-10-06 10:11:12.345678' - date'2020-01-01'
 -- !query
 select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -575,7 +575,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -619,7 +619,7 @@ CreateViewCommand `ts_view`, select '2011-11-11 11:11:11' str, false, false, Loc
 -- !query
 select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -643,7 +643,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -667,7 +667,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -689,7 +689,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -711,7 +711,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + null
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -733,7 +733,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp-ansi.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp-ansi.sql.out
index 5c42401acc353..bbdbd903d8239 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp-ansi.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp-ansi.sql.out
@@ -609,7 +609,7 @@ Project [(2011-11-11 11:11:11 - cast(str#x as timestamp_ntz)) AS (TIMESTAMP_NTZ
 -- !query
 select timestamp'2011-11-11 11:11:11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -631,7 +631,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -653,7 +653,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + null
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -675,7 +675,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp.sql.out
index 18d05088b566b..720ab45acd715 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/timestampNTZ/timestamp.sql.out
@@ -553,7 +553,7 @@ select timestamp'2019-10-06 10:11:12.345678' - date'2020-01-01'
 -- !query
 select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -577,7 +577,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -621,7 +621,7 @@ CreateViewCommand `ts_view`, select '2011-11-11 11:11:11' str, false, false, Loc
 -- !query
 select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -645,7 +645,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -669,7 +669,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + '1'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -691,7 +691,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select '1' + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -713,7 +713,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select timestamp'2011-11-11 11:11:11' + null
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -735,7 +735,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select null + timestamp'2011-11-11 11:11:11'
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
index e8506a8589d8c..bbc07c22805a6 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
@@ -134,7 +134,7 @@ Project [try_add(INTERVAL '02' SECOND, INTERVAL '02' SECOND) AS try_add(INTERVAL
 -- !query
 SELECT try_add(interval 2 year, interval 2 second)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/booleanEquality.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/booleanEquality.sql.out
index 2f2b27e427d0e..c1aa8f3c7921e 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/booleanEquality.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/booleanEquality.sql.out
@@ -98,7 +98,7 @@ Project [(true = cast(cast(1 as string) as boolean)) AS (true = CAST(1 AS STRING
 -- !query
 SELECT true = cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -131,7 +131,7 @@ Project [(true = cast(1 as boolean)) AS (true = CAST(1 AS BOOLEAN))#x]
 -- !query
 SELECT true = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -153,7 +153,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -263,7 +263,7 @@ Project [(true <=> cast(cast(1 as string) as boolean)) AS (true <=> CAST(1 AS ST
 -- !query
 SELECT true <=> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -296,7 +296,7 @@ Project [(true <=> cast(1 as boolean)) AS (true <=> CAST(1 AS BOOLEAN))#x]
 -- !query
 SELECT true <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -318,7 +318,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -428,7 +428,7 @@ Project [(cast(cast(1 as string) as boolean) = true) AS (CAST(1 AS STRING) = tru
 -- !query
 SELECT cast('1' as binary) = true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -461,7 +461,7 @@ Project [(cast(1 as boolean) = true) AS (CAST(1 AS BOOLEAN) = true)#x]
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -483,7 +483,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -593,7 +593,7 @@ Project [(cast(cast(1 as string) as boolean) <=> true) AS (CAST(1 AS STRING) <=>
 -- !query
 SELECT cast('1' as binary) <=> true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -626,7 +626,7 @@ Project [(cast(1 as boolean) <=> true) AS (CAST(1 AS BOOLEAN) <=> true)#x]
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> true FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -758,7 +758,7 @@ Project [(false = cast(cast(0 as string) as boolean)) AS (false = CAST(0 AS STRI
 -- !query
 SELECT false = cast('0' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -791,7 +791,7 @@ Project [(false = cast(0 as boolean)) AS (false = CAST(0 AS BOOLEAN))#x]
 -- !query
 SELECT false = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -813,7 +813,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT false = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -923,7 +923,7 @@ Project [(false <=> cast(cast(0 as string) as boolean)) AS (false <=> CAST(0 AS
 -- !query
 SELECT false <=> cast('0' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -956,7 +956,7 @@ Project [(false <=> cast(0 as boolean)) AS (false <=> CAST(0 AS BOOLEAN))#x]
 -- !query
 SELECT false <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -978,7 +978,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT false <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1088,7 +1088,7 @@ Project [(cast(cast(0 as string) as boolean) = false) AS (CAST(0 AS STRING) = fa
 -- !query
 SELECT cast('0' as binary) = false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1121,7 +1121,7 @@ Project [(cast(0 as boolean) = false) AS (CAST(0 AS BOOLEAN) = false)#x]
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1143,7 +1143,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1253,7 +1253,7 @@ Project [(cast(cast(0 as string) as boolean) <=> false) AS (CAST(0 AS STRING) <=
 -- !query
 SELECT cast('0' as binary) <=> false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1286,7 +1286,7 @@ Project [(cast(0 as boolean) <=> false) AS (CAST(0 AS BOOLEAN) <=> false)#x]
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1308,7 +1308,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> false FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/caseWhenCoercion.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/caseWhenCoercion.sql.out
index 6742bb25fd9f4..7662eac61e543 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/caseWhenCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/caseWhenCoercion.sql.out
@@ -98,7 +98,7 @@ Project [CASE WHEN true THEN cast(cast(1 as tinyint) as string) ELSE cast(2 as s
 -- !query
 SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -120,7 +120,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -164,7 +164,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -274,7 +274,7 @@ Project [CASE WHEN true THEN cast(cast(1 as smallint) as string) ELSE cast(2 as
 -- !query
 SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -296,7 +296,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -318,7 +318,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -340,7 +340,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -450,7 +450,7 @@ Project [CASE WHEN true THEN cast(cast(1 as int) as string) ELSE cast(2 as strin
 -- !query
 SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -472,7 +472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as int) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -516,7 +516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -626,7 +626,7 @@ Project [CASE WHEN true THEN cast(cast(1 as bigint) as string) ELSE cast(2 as st
 -- !query
 SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -670,7 +670,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -692,7 +692,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -802,7 +802,7 @@ Project [CASE WHEN true THEN cast(cast(1 as float) as string) ELSE cast(2 as str
 -- !query
 SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -824,7 +824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as float) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -846,7 +846,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -868,7 +868,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -978,7 +978,7 @@ Project [CASE WHEN true THEN cast(cast(1 as double) as string) ELSE cast(2 as st
 -- !query
 SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1000,7 +1000,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as double) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1022,7 +1022,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1044,7 +1044,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1154,7 +1154,7 @@ Project [CASE WHEN true THEN cast(cast(1 as decimal(10,0)) as string) ELSE cast(
 -- !query
 SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1176,7 +1176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1198,7 +1198,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1330,7 +1330,7 @@ Project [CASE WHEN true THEN cast(1 as string) ELSE cast(2 as string) END AS CAS
 -- !query
 SELECT CASE WHEN true THEN cast(1 as string) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1352,7 +1352,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as string) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1396,7 +1396,7 @@ Project [CASE WHEN true THEN cast(1 as string) ELSE cast(cast(2017-12-11 09:30:0
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as tinyint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1418,7 +1418,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as smallint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1440,7 +1440,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as int) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1462,7 +1462,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as bigint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as float) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1506,7 +1506,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as double) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1528,7 +1528,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as decimal(10, 0)) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1550,7 +1550,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as string) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1583,7 +1583,7 @@ Project [CASE WHEN true THEN cast(1 as binary) ELSE cast(2 as binary) END AS CAS
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1605,7 +1605,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1627,7 +1627,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1649,7 +1649,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as tinyint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1671,7 +1671,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as smallint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1693,7 +1693,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as int) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1715,7 +1715,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as bigint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1737,7 +1737,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as float) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1759,7 +1759,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as double) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1781,7 +1781,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as decimal(10, 0)) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1803,7 +1803,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as string) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1825,7 +1825,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1858,7 +1858,7 @@ Project [CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as boolean) END AS C
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2017-12-11 09:30:00.0' as timestamp) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1880,7 +1880,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2017-12-11 09:30:00' as date) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1902,7 +1902,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as tinyint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as smallint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1946,7 +1946,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as int) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1968,7 +1968,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as bigint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1990,7 +1990,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as float) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as double) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2034,7 +2034,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as decimal(10, 0)) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2067,7 +2067,7 @@ Project [CASE WHEN true THEN cast(cast(2017-12-12 09:30:00.0 as timestamp) as st
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2089,7 +2089,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2133,7 +2133,7 @@ Project [CASE WHEN true THEN cast(2017-12-12 09:30:00.0 as timestamp) ELSE cast(
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as tinyint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2155,7 +2155,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as smallint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2177,7 +2177,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as int) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2199,7 +2199,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as bigint) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2221,7 +2221,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as float) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2243,7 +2243,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as double) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2265,7 +2265,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as decimal(10, 0)) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2298,7 +2298,7 @@ Project [CASE WHEN true THEN cast(cast(2017-12-12 09:30:00 as date) as string) E
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast('2' as binary) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2320,7 +2320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as boolean) END FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/dateTimeOperations.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/dateTimeOperations.sql.out
index a4d0d0fd3702e..4e5884d1219b5 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/dateTimeOperations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/dateTimeOperations.sql.out
@@ -10,7 +10,7 @@ CreateViewCommand `t`, SELECT 1, false, false, LocalTempView, true
 -- !query
 select cast(1 as tinyint) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -34,7 +34,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as smallint) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -58,7 +58,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as int) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -82,7 +82,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as bigint) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -106,7 +106,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as float) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -130,7 +130,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as double) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -154,7 +154,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as decimal(10, 0)) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -192,7 +192,7 @@ Project [cast(cast(cast(2017-12-11 09:30:00 as string) as timestamp) + INTERVAL
 -- !query
 select cast('1' as binary) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -216,7 +216,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as boolean) + interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -254,7 +254,7 @@ Project [date_add(cast(2017-12-11 09:30:00 as date), extractansiintervaldays(INT
 -- !query
 select interval 2 day + cast(1 as tinyint)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -278,7 +278,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as smallint)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -302,7 +302,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as int)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -326,7 +326,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as bigint)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -350,7 +350,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as float)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -374,7 +374,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as double)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -398,7 +398,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as decimal(10, 0))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -436,7 +436,7 @@ Project [cast(cast(cast(2017-12-11 09:30:00 as string) as timestamp) + INTERVAL
 -- !query
 select interval 2 day + cast('1' as binary)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -460,7 +460,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select interval 2 day + cast(1 as boolean)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -498,7 +498,7 @@ Project [date_add(cast(2017-12-11 09:30:00 as date), extractansiintervaldays(INT
 -- !query
 select cast(1 as tinyint) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -522,7 +522,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as smallint) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -546,7 +546,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as int) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -570,7 +570,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as bigint) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -594,7 +594,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as float) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -618,7 +618,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as double) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -642,7 +642,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as decimal(10, 0)) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -680,7 +680,7 @@ Project [cast(cast(2017-12-11 09:30:00 as string) - INTERVAL '2' DAY as string)
 -- !query
 select cast('1' as binary) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -704,7 +704,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(1 as boolean) - interval 2 day
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/decimalPrecision.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/decimalPrecision.sql.out
index c69150bda486d..0ab4530c6b96a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/decimalPrecision.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/decimalPrecision.sql.out
@@ -318,7 +318,7 @@ Project [(cast(1 as decimal(10,0)) + cast(1 as decimal(20,0))) AS (CAST(1 AS DEC
 -- !query
 SELECT cast('1' as binary) + cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -340,7 +340,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) + cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -362,7 +362,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) + cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -384,7 +384,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) + cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -406,7 +406,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -428,7 +428,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -450,7 +450,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -472,7 +472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -518,7 +518,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -542,7 +542,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -566,7 +566,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -942,7 +942,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) + cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  + cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -964,7 +964,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  + cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -986,7 +986,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) + cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1008,7 +1008,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) + cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1030,7 +1030,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  + cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1052,7 +1052,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  + cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1074,7 +1074,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) + cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1096,7 +1096,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) + cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1118,7 +1118,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1140,7 +1140,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1162,7 +1162,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1184,7 +1184,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1206,7 +1206,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1230,7 +1230,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1254,7 +1254,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1278,7 +1278,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1610,7 +1610,7 @@ Project [(cast(1 as decimal(10,0)) - cast(1 as decimal(20,0))) AS (CAST(1 AS DEC
 -- !query
 SELECT cast('1' as binary) - cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1632,7 +1632,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) - cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1654,7 +1654,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) - cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1676,7 +1676,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) - cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1698,7 +1698,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1722,7 +1722,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1746,7 +1746,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1770,7 +1770,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1794,7 +1794,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1818,7 +1818,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1842,7 +1842,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1866,7 +1866,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2242,7 +2242,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) - cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  - cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2264,7 +2264,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  - cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2286,7 +2286,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) - cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2308,7 +2308,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) - cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2330,7 +2330,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  - cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2352,7 +2352,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  - cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2374,7 +2374,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) - cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2396,7 +2396,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) - cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2418,7 +2418,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2442,7 +2442,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2466,7 +2466,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2490,7 +2490,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2514,7 +2514,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2538,7 +2538,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2562,7 +2562,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2586,7 +2586,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2918,7 +2918,7 @@ Project [(cast(1 as decimal(10,0)) * cast(1 as decimal(20,0))) AS (CAST(1 AS DEC
 -- !query
 SELECT cast('1' as binary) * cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2940,7 +2940,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) * cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2962,7 +2962,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) * cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2984,7 +2984,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) * cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3006,7 +3006,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3028,7 +3028,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3050,7 +3050,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3072,7 +3072,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3094,7 +3094,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3116,7 +3116,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3138,7 +3138,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3160,7 +3160,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3534,7 +3534,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) * cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  * cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3556,7 +3556,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  * cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3578,7 +3578,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) * cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3600,7 +3600,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) * cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3622,7 +3622,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  * cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3644,7 +3644,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  * cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3666,7 +3666,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) * cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3688,7 +3688,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) * cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3710,7 +3710,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  * cast('2017*12*11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3732,7 +3732,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  * cast('2017*12*11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3754,7 +3754,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) * cast('2017*12*11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3776,7 +3776,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) * cast('2017*12*11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3798,7 +3798,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3820,7 +3820,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3842,7 +3842,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3864,7 +3864,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4194,7 +4194,7 @@ Project [(cast(1 as decimal(10,0)) / cast(1 as decimal(20,0))) AS (CAST(1 AS DEC
 -- !query
 SELECT cast('1' as binary) / cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4216,7 +4216,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4238,7 +4238,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4260,7 +4260,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4282,7 +4282,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4304,7 +4304,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4326,7 +4326,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4348,7 +4348,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4370,7 +4370,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4392,7 +4392,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4414,7 +4414,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4436,7 +4436,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4810,7 +4810,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) / cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4832,7 +4832,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4854,7 +4854,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4876,7 +4876,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4898,7 +4898,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4920,7 +4920,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4942,7 +4942,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4964,7 +4964,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4986,7 +4986,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  / cast('2017/12/11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5008,7 +5008,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  / cast('2017/12/11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5030,7 +5030,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('2017/12/11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5052,7 +5052,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) / cast('2017/12/11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5074,7 +5074,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5096,7 +5096,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5118,7 +5118,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5140,7 +5140,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5470,7 +5470,7 @@ Project [(cast(1 as decimal(10,0)) % cast(1 as decimal(20,0))) AS (CAST(1 AS DEC
 -- !query
 SELECT cast('1' as binary) % cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5492,7 +5492,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) % cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5514,7 +5514,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) % cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5536,7 +5536,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) % cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5558,7 +5558,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5580,7 +5580,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5602,7 +5602,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5624,7 +5624,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5646,7 +5646,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5668,7 +5668,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5690,7 +5690,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5712,7 +5712,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6086,7 +6086,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) % cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  % cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6108,7 +6108,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  % cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6130,7 +6130,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) % cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6152,7 +6152,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) % cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6174,7 +6174,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  % cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6196,7 +6196,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  % cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6218,7 +6218,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) % cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6240,7 +6240,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) % cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6262,7 +6262,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6284,7 +6284,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6306,7 +6306,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6328,7 +6328,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6350,7 +6350,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6372,7 +6372,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6394,7 +6394,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6416,7 +6416,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6746,7 +6746,7 @@ Project [pmod(cast(1 as decimal(10,0)), cast(1 as decimal(20,0))) AS pmod(CAST(1
 -- !query
 SELECT pmod(cast('1' as binary), cast(1 as decimal(3, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6768,7 +6768,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('1' as binary), cast(1 as decimal(5, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6790,7 +6790,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('1' as binary), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6812,7 +6812,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('1' as binary), cast(1 as decimal(20, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6834,7 +6834,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(3, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6856,7 +6856,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(5, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6878,7 +6878,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6900,7 +6900,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(20, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6922,7 +6922,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(3, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6944,7 +6944,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(5, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6966,7 +6966,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6988,7 +6988,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(20, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7362,7 +7362,7 @@ Project [pmod(cast(cast(1 as decimal(20,0)) as double), cast(cast(1 as string) a
 -- !query
 SELECT pmod(cast(1 as decimal(3, 0)) , cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7384,7 +7384,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(5, 0)) , cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7406,7 +7406,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(10, 0)), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7428,7 +7428,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(20, 0)), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7450,7 +7450,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(3, 0)) , cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7472,7 +7472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(5, 0)) , cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7494,7 +7494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(10, 0)), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7516,7 +7516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(20, 0)), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7538,7 +7538,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(3, 0)) , cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7560,7 +7560,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(5, 0)) , cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7582,7 +7582,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7604,7 +7604,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(20, 0)), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7626,7 +7626,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(3, 0)) , cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7648,7 +7648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(5, 0)) , cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7670,7 +7670,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7692,7 +7692,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as decimal(20, 0)), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8022,7 +8022,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) = cast(1 as decimal(20
 -- !query
 SELECT cast('1' as binary) = cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8044,7 +8044,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) = cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8066,7 +8066,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) = cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8088,7 +8088,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) = cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8110,7 +8110,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8132,7 +8132,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8154,7 +8154,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8176,7 +8176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8198,7 +8198,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8220,7 +8220,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8242,7 +8242,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8264,7 +8264,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8638,7 +8638,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) = cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  = cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8660,7 +8660,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  = cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8682,7 +8682,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) = cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8704,7 +8704,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) = cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8770,7 +8770,7 @@ Project [(cast(1 as decimal(20,0)) = cast(cast(1 as boolean) as decimal(20,0)))
 -- !query
 SELECT cast(1 as decimal(3, 0))  = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8792,7 +8792,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8814,7 +8814,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8836,7 +8836,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8858,7 +8858,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8880,7 +8880,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8902,7 +8902,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8924,7 +8924,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9254,7 +9254,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) <=> cast(1 as decimal(
 -- !query
 SELECT cast('1' as binary) <=> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9276,7 +9276,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <=> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9298,7 +9298,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <=> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9320,7 +9320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <=> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9342,7 +9342,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9364,7 +9364,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9386,7 +9386,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9408,7 +9408,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9430,7 +9430,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9452,7 +9452,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9474,7 +9474,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9496,7 +9496,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9870,7 +9870,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) <=> cast(cast(1 as string) as
 -- !query
 SELECT cast(1 as decimal(3, 0))  <=> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9892,7 +9892,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <=> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9914,7 +9914,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <=> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9936,7 +9936,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <=> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10002,7 +10002,7 @@ Project [(cast(1 as decimal(20,0)) <=> cast(cast(1 as boolean) as decimal(20,0))
 -- !query
 SELECT cast(1 as decimal(3, 0))  <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10024,7 +10024,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10046,7 +10046,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10068,7 +10068,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10090,7 +10090,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10112,7 +10112,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10134,7 +10134,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10156,7 +10156,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10486,7 +10486,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) < cast(1 as decimal(20
 -- !query
 SELECT cast('1' as binary) < cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10508,7 +10508,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) < cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10530,7 +10530,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) < cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10552,7 +10552,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) < cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10574,7 +10574,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10596,7 +10596,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10618,7 +10618,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10640,7 +10640,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10662,7 +10662,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10684,7 +10684,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10706,7 +10706,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10728,7 +10728,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11102,7 +11102,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) < cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  < cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11124,7 +11124,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  < cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11146,7 +11146,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) < cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11168,7 +11168,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) < cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11190,7 +11190,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  < cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11212,7 +11212,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  < cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11234,7 +11234,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) < cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11256,7 +11256,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) < cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11278,7 +11278,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  < cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11300,7 +11300,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  < cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11322,7 +11322,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) < cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11344,7 +11344,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) < cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11366,7 +11366,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11388,7 +11388,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11410,7 +11410,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11432,7 +11432,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11762,7 +11762,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) <= cast(1 as decimal(2
 -- !query
 SELECT cast('1' as binary) <= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11784,7 +11784,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11806,7 +11806,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11828,7 +11828,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11850,7 +11850,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11872,7 +11872,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11894,7 +11894,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11916,7 +11916,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11938,7 +11938,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11960,7 +11960,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11982,7 +11982,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12004,7 +12004,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12378,7 +12378,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) <= cast(cast(1 as string) as
 -- !query
 SELECT cast(1 as decimal(3, 0))  <= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12400,7 +12400,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12422,7 +12422,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12444,7 +12444,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12466,7 +12466,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  <= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12488,7 +12488,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12510,7 +12510,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12532,7 +12532,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12554,7 +12554,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  <= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12576,7 +12576,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12598,7 +12598,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12620,7 +12620,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12642,7 +12642,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12664,7 +12664,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12686,7 +12686,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12708,7 +12708,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13038,7 +13038,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) > cast(1 as decimal(20
 -- !query
 SELECT cast('1' as binary) > cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13060,7 +13060,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) > cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13082,7 +13082,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) > cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13104,7 +13104,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) > cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13126,7 +13126,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13148,7 +13148,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13170,7 +13170,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13192,7 +13192,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13214,7 +13214,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13236,7 +13236,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13258,7 +13258,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13280,7 +13280,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13654,7 +13654,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) > cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(3, 0))  > cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13676,7 +13676,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  > cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13698,7 +13698,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) > cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13720,7 +13720,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) > cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13742,7 +13742,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  > cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13764,7 +13764,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  > cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13786,7 +13786,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) > cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13808,7 +13808,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) > cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13830,7 +13830,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  > cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13852,7 +13852,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  > cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13874,7 +13874,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) > cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13896,7 +13896,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) > cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13918,7 +13918,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13940,7 +13940,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13962,7 +13962,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13984,7 +13984,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14314,7 +14314,7 @@ Project [(cast(cast(1 as decimal(10,0)) as decimal(20,0)) >= cast(1 as decimal(2
 -- !query
 SELECT cast('1' as binary) >= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14336,7 +14336,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) >= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14358,7 +14358,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) >= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14380,7 +14380,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) >= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14402,7 +14402,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14424,7 +14424,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14446,7 +14446,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14468,7 +14468,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14490,7 +14490,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14512,7 +14512,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14534,7 +14534,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14556,7 +14556,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14930,7 +14930,7 @@ Project [(cast(cast(1 as decimal(20,0)) as double) >= cast(cast(1 as string) as
 -- !query
 SELECT cast(1 as decimal(3, 0))  >= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14952,7 +14952,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  >= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14974,7 +14974,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) >= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14996,7 +14996,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) >= cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15018,7 +15018,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  >= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15040,7 +15040,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  >= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15062,7 +15062,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) >= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15084,7 +15084,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) >= cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15106,7 +15106,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  >= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15128,7 +15128,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  >= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15150,7 +15150,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) >= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15172,7 +15172,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) >= cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15194,7 +15194,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15216,7 +15216,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15238,7 +15238,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15260,7 +15260,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15590,7 +15590,7 @@ Project [NOT (cast(cast(1 as decimal(10,0)) as decimal(20,0)) = cast(1 as decima
 -- !query
 SELECT cast('1' as binary) <> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15612,7 +15612,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15634,7 +15634,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15656,7 +15656,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) <> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15678,7 +15678,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15700,7 +15700,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15722,7 +15722,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15744,7 +15744,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15766,7 +15766,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(3, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15788,7 +15788,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(5, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15810,7 +15810,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -15832,7 +15832,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(20, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16206,7 +16206,7 @@ Project [NOT (cast(cast(1 as decimal(20,0)) as double) = cast(cast(1 as string)
 -- !query
 SELECT cast(1 as decimal(3, 0))  <> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16228,7 +16228,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16250,7 +16250,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16272,7 +16272,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <> cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16338,7 +16338,7 @@ Project [NOT (cast(1 as decimal(20,0)) = cast(cast(1 as boolean) as decimal(20,0
 -- !query
 SELECT cast(1 as decimal(3, 0))  <> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16360,7 +16360,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16382,7 +16382,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16404,7 +16404,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16426,7 +16426,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(3, 0))  <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16448,7 +16448,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(5, 0))  <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16470,7 +16470,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -16492,7 +16492,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(20, 0)) <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/division.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/division.sql.out
index 671c5c550cc65..a034c22ffcda3 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/division.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/division.sql.out
@@ -98,7 +98,7 @@ Project [(cast(cast(1 as tinyint) as double) / cast(cast(cast(1 as string) as do
 -- !query
 SELECT cast(1 as tinyint) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -120,7 +120,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -164,7 +164,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -274,7 +274,7 @@ Project [(cast(cast(1 as smallint) as double) / cast(cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as smallint) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -296,7 +296,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -318,7 +318,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -340,7 +340,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -450,7 +450,7 @@ Project [(cast(cast(1 as int) as double) / cast(cast(cast(1 as string) as double
 -- !query
 SELECT cast(1 as int) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -472,7 +472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -516,7 +516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -626,7 +626,7 @@ Project [(cast(cast(1 as bigint) as double) / cast(cast(cast(1 as string) as dou
 -- !query
 SELECT cast(1 as bigint) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -670,7 +670,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -692,7 +692,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -802,7 +802,7 @@ Project [(cast(cast(1 as float) as double) / cast(cast(cast(1 as string) as doub
 -- !query
 SELECT cast(1 as float) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -824,7 +824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -846,7 +846,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -868,7 +868,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -978,7 +978,7 @@ Project [(cast(1 as double) / cast(cast(1 as string) as double)) AS (CAST(1 AS D
 -- !query
 SELECT cast(1 as double) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1000,7 +1000,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1022,7 +1022,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1044,7 +1044,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1154,7 +1154,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) / cast(cast(1 as string) as d
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1176,7 +1176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1198,7 +1198,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1330,7 +1330,7 @@ Project [(cast(cast(1 as string) as double) / cast(cast(1 as string) as double))
 -- !query
 SELECT cast(1 as string) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1352,7 +1352,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1374,7 +1374,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1396,7 +1396,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1418,7 +1418,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1440,7 +1440,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1462,7 +1462,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1506,7 +1506,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1528,7 +1528,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1550,7 +1550,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1572,7 +1572,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1594,7 +1594,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -1616,7 +1616,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1638,7 +1638,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1660,7 +1660,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1682,7 +1682,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1704,7 +1704,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1726,7 +1726,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1748,7 +1748,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1770,7 +1770,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1792,7 +1792,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1814,7 +1814,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1836,7 +1836,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1858,7 +1858,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1880,7 +1880,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -1902,7 +1902,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1946,7 +1946,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1968,7 +1968,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1990,7 +1990,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2034,7 +2034,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2056,7 +2056,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2078,7 +2078,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2100,7 +2100,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2122,7 +2122,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2144,7 +2144,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2166,7 +2166,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -2188,7 +2188,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2210,7 +2210,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2232,7 +2232,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2254,7 +2254,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2276,7 +2276,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2298,7 +2298,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2320,7 +2320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2342,7 +2342,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2364,7 +2364,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2386,7 +2386,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast('1' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2408,7 +2408,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2430,7 +2430,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2452,7 +2452,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/ifCoercion.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/ifCoercion.sql.out
index c93a21f3f37c7..edee343b59250 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/ifCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/ifCoercion.sql.out
@@ -98,7 +98,7 @@ Project [if (true) cast(cast(1 as tinyint) as string) else cast(2 as string) AS
 -- !query
 SELECT IF(true, cast(1 as tinyint), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -120,7 +120,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as tinyint), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as tinyint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -164,7 +164,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as tinyint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -274,7 +274,7 @@ Project [if (true) cast(cast(1 as smallint) as string) else cast(2 as string) AS
 -- !query
 SELECT IF(true, cast(1 as smallint), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -296,7 +296,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as smallint), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -318,7 +318,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as smallint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -340,7 +340,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as smallint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -450,7 +450,7 @@ Project [if (true) cast(cast(1 as int) as string) else cast(2 as string) AS (IF(
 -- !query
 SELECT IF(true, cast(1 as int), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -472,7 +472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as int), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as int), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -516,7 +516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as int), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -626,7 +626,7 @@ Project [if (true) cast(cast(1 as bigint) as string) else cast(2 as string) AS (
 -- !query
 SELECT IF(true, cast(1 as bigint), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as bigint), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -670,7 +670,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as bigint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -692,7 +692,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as bigint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -802,7 +802,7 @@ Project [if (true) cast(cast(1 as float) as string) else cast(2 as string) AS (I
 -- !query
 SELECT IF(true, cast(1 as float), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -824,7 +824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as float), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -846,7 +846,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as float), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -868,7 +868,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as float), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -978,7 +978,7 @@ Project [if (true) cast(cast(1 as double) as string) else cast(2 as string) AS (
 -- !query
 SELECT IF(true, cast(1 as double), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1000,7 +1000,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as double), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1022,7 +1022,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as double), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1044,7 +1044,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as double), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1154,7 +1154,7 @@ Project [if (true) cast(cast(1 as decimal(10,0)) as string) else cast(2 as strin
 -- !query
 SELECT IF(true, cast(1 as decimal(10, 0)), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1176,7 +1176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as decimal(10, 0)), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1198,7 +1198,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1330,7 +1330,7 @@ Project [if (true) cast(1 as string) else cast(2 as string) AS (IF(true, CAST(1
 -- !query
 SELECT IF(true, cast(1 as string), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1352,7 +1352,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as string), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1396,7 +1396,7 @@ Project [if (true) cast(1 as string) else cast(cast(2017-12-11 09:30:00 as date)
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1418,7 +1418,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1440,7 +1440,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1462,7 +1462,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1506,7 +1506,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1528,7 +1528,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1550,7 +1550,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1583,7 +1583,7 @@ Project [if (true) cast(1 as binary) else cast(2 as binary) AS (IF(true, CAST(1
 -- !query
 SELECT IF(true, cast('1' as binary), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1605,7 +1605,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1627,7 +1627,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('1' as binary), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1649,7 +1649,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1671,7 +1671,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1693,7 +1693,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1715,7 +1715,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1737,7 +1737,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1759,7 +1759,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1781,7 +1781,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1803,7 +1803,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast(2 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1825,7 +1825,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1858,7 +1858,7 @@ Project [if (true) cast(1 as boolean) else cast(2 as boolean) AS (IF(true, CAST(
 -- !query
 SELECT IF(true, cast(1 as boolean), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1880,7 +1880,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast(1 as boolean), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1902,7 +1902,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1946,7 +1946,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1968,7 +1968,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1990,7 +1990,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2034,7 +2034,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2067,7 +2067,7 @@ Project [if (true) cast(cast(2017-12-12 09:30:00.0 as timestamp) as string) else
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2089,7 +2089,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2133,7 +2133,7 @@ Project [if (true) cast(2017-12-12 09:30:00.0 as timestamp) else cast(cast(2017-
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2155,7 +2155,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2177,7 +2177,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2199,7 +2199,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2221,7 +2221,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2243,7 +2243,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2265,7 +2265,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2298,7 +2298,7 @@ Project [if (true) cast(cast(2017-12-12 09:30:00 as date) as string) else cast(2
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2320,7 +2320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/inConversion.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/inConversion.sql.out
index ae8c3f6479331..b248ec5997297 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/inConversion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/inConversion.sql.out
@@ -98,7 +98,7 @@ Project [cast(cast(1 as tinyint) as string) IN (cast(cast(1 as string) as string
 -- !query
 SELECT cast(1 as tinyint) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -120,7 +120,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -164,7 +164,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -274,7 +274,7 @@ Project [cast(cast(1 as smallint) as string) IN (cast(cast(1 as string) as strin
 -- !query
 SELECT cast(1 as smallint) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -296,7 +296,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -318,7 +318,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -340,7 +340,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -450,7 +450,7 @@ Project [cast(cast(1 as int) as string) IN (cast(cast(1 as string) as string)) A
 -- !query
 SELECT cast(1 as int) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -472,7 +472,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -494,7 +494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -516,7 +516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -626,7 +626,7 @@ Project [cast(cast(1 as bigint) as string) IN (cast(cast(1 as string) as string)
 -- !query
 SELECT cast(1 as bigint) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -670,7 +670,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -692,7 +692,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -802,7 +802,7 @@ Project [cast(cast(1 as float) as string) IN (cast(cast(1 as string) as string))
 -- !query
 SELECT cast(1 as float) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -824,7 +824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -846,7 +846,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -868,7 +868,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -978,7 +978,7 @@ Project [cast(cast(1 as double) as string) IN (cast(cast(1 as string) as string)
 -- !query
 SELECT cast(1 as double) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1000,7 +1000,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1022,7 +1022,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1044,7 +1044,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1154,7 +1154,7 @@ Project [cast(cast(1 as decimal(10,0)) as string) IN (cast(cast(1 as string) as
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1176,7 +1176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1198,7 +1198,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1330,7 +1330,7 @@ Project [cast(1 as string) IN (cast(1 as string)) AS (CAST(1 AS STRING) IN (CAST
 -- !query
 SELECT cast(1 as string) in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1352,7 +1352,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1396,7 +1396,7 @@ Project [cast(cast(1 as string) as string) IN (cast(cast(2017-12-11 09:30:00 as
 -- !query
 SELECT cast('1' as binary) in (cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1418,7 +1418,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1440,7 +1440,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1462,7 +1462,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1506,7 +1506,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1528,7 +1528,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1550,7 +1550,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast(1 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1583,7 +1583,7 @@ Project [cast(1 as binary) IN (cast(1 as binary)) AS (CAST(1 AS BINARY) IN (CAST
 -- !query
 SELECT cast('1' as binary) in (cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1605,7 +1605,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1627,7 +1627,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1649,7 +1649,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1671,7 +1671,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1693,7 +1693,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1715,7 +1715,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1737,7 +1737,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1759,7 +1759,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1781,7 +1781,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1803,7 +1803,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast(1 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1825,7 +1825,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1858,7 +1858,7 @@ Project [true IN (cast(1 as boolean)) AS (true IN (CAST(1 AS BOOLEAN)))#x]
 -- !query
 SELECT true in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1880,7 +1880,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT true in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1902,7 +1902,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1946,7 +1946,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1968,7 +1968,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1990,7 +1990,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2034,7 +2034,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2067,7 +2067,7 @@ Project [cast(cast(2017-12-12 09:30:00.0 as timestamp) as string) IN (cast(cast(
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2089,7 +2089,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2133,7 +2133,7 @@ Project [cast(cast(2017-12-12 09:30:00.0 as timestamp) as timestamp) IN (cast(ca
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2155,7 +2155,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2177,7 +2177,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2199,7 +2199,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2221,7 +2221,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2243,7 +2243,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2265,7 +2265,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2298,7 +2298,7 @@ Project [cast(cast(2017-12-12 09:30:00 as date) as string) IN (cast(cast(2 as st
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2320,7 +2320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2452,7 +2452,7 @@ Project [cast(cast(1 as tinyint) as string) IN (cast(cast(1 as tinyint) as strin
 -- !query
 SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2474,7 +2474,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2496,7 +2496,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2518,7 +2518,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2628,7 +2628,7 @@ Project [cast(cast(1 as smallint) as string) IN (cast(cast(1 as smallint) as str
 -- !query
 SELECT cast(1 as smallint) in (cast(1 as smallint), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2650,7 +2650,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast(1 as smallint), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2672,7 +2672,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast(1 as smallint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2694,7 +2694,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) in (cast(1 as smallint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2804,7 +2804,7 @@ Project [cast(cast(1 as int) as string) IN (cast(cast(1 as int) as string),cast(
 -- !query
 SELECT cast(1 as int) in (cast(1 as int), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2826,7 +2826,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast(1 as int), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2848,7 +2848,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast(1 as int), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2870,7 +2870,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) in (cast(1 as int), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2980,7 +2980,7 @@ Project [cast(cast(1 as bigint) as string) IN (cast(cast(1 as bigint) as string)
 -- !query
 SELECT cast(1 as bigint) in (cast(1 as bigint), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3002,7 +3002,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast(1 as bigint), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3024,7 +3024,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast(1 as bigint), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3046,7 +3046,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) in (cast(1 as bigint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3156,7 +3156,7 @@ Project [cast(cast(1 as float) as string) IN (cast(cast(1 as float) as string),c
 -- !query
 SELECT cast(1 as float) in (cast(1 as float), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3178,7 +3178,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast(1 as float), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3200,7 +3200,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast(1 as float), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3222,7 +3222,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) in (cast(1 as float), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3332,7 +3332,7 @@ Project [cast(cast(1 as double) as string) IN (cast(cast(1 as double) as string)
 -- !query
 SELECT cast(1 as double) in (cast(1 as double), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3354,7 +3354,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast(1 as double), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3376,7 +3376,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast(1 as double), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3398,7 +3398,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) in (cast(1 as double), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3508,7 +3508,7 @@ Project [cast(cast(1 as decimal(10,0)) as string) IN (cast(cast(1 as decimal(10,
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3530,7 +3530,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3552,7 +3552,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3574,7 +3574,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3684,7 +3684,7 @@ Project [cast(1 as string) IN (cast(1 as string),cast(1 as string)) AS (CAST(1 A
 -- !query
 SELECT cast(1 as string) in (cast(1 as string), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3706,7 +3706,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) in (cast(1 as string), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3750,7 +3750,7 @@ Project [cast(cast(1 as string) as string) IN (cast(cast(1 as string) as string)
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3772,7 +3772,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3794,7 +3794,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3816,7 +3816,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3838,7 +3838,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3860,7 +3860,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3882,7 +3882,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3904,7 +3904,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3937,7 +3937,7 @@ Project [cast(1 as binary) IN (cast(1 as binary),cast(1 as binary)) AS (CAST(1 A
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3959,7 +3959,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3981,7 +3981,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) in (cast('1' as binary), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4003,7 +4003,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4025,7 +4025,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4047,7 +4047,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4069,7 +4069,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4091,7 +4091,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4113,7 +4113,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4135,7 +4135,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4157,7 +4157,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as string)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4179,7 +4179,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4212,7 +4212,7 @@ Project [cast(1 as boolean) IN (cast(1 as boolean),cast(1 as boolean)) AS (CAST(
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4234,7 +4234,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as boolean) in (cast('1' as boolean), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4256,7 +4256,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4278,7 +4278,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4300,7 +4300,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4322,7 +4322,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4344,7 +4344,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4366,7 +4366,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4388,7 +4388,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4421,7 +4421,7 @@ Project [cast(cast(2017-12-12 09:30:00.0 as timestamp) as string) IN (cast(cast(
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4443,7 +4443,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.0' as timestamp), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4487,7 +4487,7 @@ Project [cast(cast(2017-12-12 09:30:00.0 as timestamp) as timestamp) IN (cast(ca
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as tinyint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4509,7 +4509,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as smallint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4531,7 +4531,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as int)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4553,7 +4553,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as bigint)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4575,7 +4575,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as float)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4597,7 +4597,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as double)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4619,7 +4619,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as decimal(10, 0))) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4652,7 +4652,7 @@ Project [cast(cast(2017-12-12 09:30:00 as date) as string) IN (cast(cast(2017-12
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast('1' as binary)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4674,7 +4674,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as date), cast(1 as boolean)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapZipWith.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapZipWith.sql.out
index 0ab21df6b65fd..bc8909f1c1038 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapZipWith.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapZipWith.sql.out
@@ -128,7 +128,7 @@ Project [map_zip_with(double_map#x, cast(float_map#x as map<double,float>), lamb
 SELECT map_zip_with(decimal_map1, decimal_map2, (k, v1, v2) -> struct(k, v1, v2)) m
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_ZIP_WITH_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -178,7 +178,7 @@ Project [map_zip_with(cast(decimal_map1#x as map<double,decimal(36,0)>), double_
 SELECT map_zip_with(decimal_map2, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_ZIP_WITH_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapconcat.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapconcat.sql.out
index b6af7ee4ac5ca..7d42c1f7ebe57 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapconcat.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/mapconcat.sql.out
@@ -131,7 +131,7 @@ SELECT
     map_concat(tinyint_map1, array_map1) tm_map
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -155,7 +155,7 @@ SELECT
     map_concat(boolean_map1, int_map2) bi_map
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -179,7 +179,7 @@ SELECT
     map_concat(int_map1, struct_map2) is_map
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -203,7 +203,7 @@ SELECT
     map_concat(struct_map1, array_map2) ma_map
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -227,7 +227,7 @@ SELECT
     map_concat(int_map1, array_map2) ms_map
 FROM various_maps
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/promoteStrings.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/promoteStrings.sql.out
index fbfdaa9558b25..d18d070e54e92 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/promoteStrings.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/promoteStrings.sql.out
@@ -98,7 +98,7 @@ Project [(cast(1 as double) + cast(1 as double)) AS (1 + 1)#x]
 -- !query
 SELECT '1' + cast('1' as binary)                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -120,7 +120,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' + cast(1 as boolean)                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -164,7 +164,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' + cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -276,7 +276,7 @@ Project [(cast(1 as double) - cast(1 as double)) AS (1 - 1)#x]
 -- !query
 SELECT '1' - cast('1' as binary)                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -298,7 +298,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' - cast(1 as boolean)                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -320,7 +320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -443,7 +443,7 @@ Project [(cast(1 as double) * cast(1 as double)) AS (1 * 1)#x]
 -- !query
 SELECT '1' * cast('1' as binary)                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -465,7 +465,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' * cast(1 as boolean)                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -487,7 +487,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' * cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -509,7 +509,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' * cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -619,7 +619,7 @@ Project [(cast(1 as double) / cast(1 as double)) AS (1 / 1)#x]
 -- !query
 SELECT '1' / cast('1' as binary)                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -641,7 +641,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' / cast(1 as boolean)                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -663,7 +663,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -685,7 +685,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' / cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -795,7 +795,7 @@ Project [(cast(1 as double) % cast(1 as double)) AS (1 % 1)#x]
 -- !query
 SELECT '1' % cast('1' as binary)                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -817,7 +817,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' % cast(1 as boolean)                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -839,7 +839,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -861,7 +861,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT '1' % cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -971,7 +971,7 @@ Project [pmod(cast(1 as double), cast(1 as double)) AS pmod(1, 1)#x]
 -- !query
 SELECT pmod('1', cast('1' as binary))                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -993,7 +993,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod('1', cast(1 as boolean))                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1015,7 +1015,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod('1', cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1037,7 +1037,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod('1', cast('2017-12-11 09:30:00' as date))        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1136,7 +1136,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) + cast(1 as double)) AS (CAST
 -- !query
 SELECT cast('1' as binary)                        + '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1158,7 +1158,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean)                         + '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1180,7 +1180,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) + '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1202,7 +1202,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date)        + '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1303,7 +1303,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) - cast(1 as double)) AS (CAST
 -- !query
 SELECT cast('1' as binary)                        - '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1325,7 +1325,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean)                         - '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1347,7 +1347,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) - '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1371,7 +1371,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date)        - '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1472,7 +1472,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) * cast(1 as double)) AS (CAST
 -- !query
 SELECT cast('1' as binary)                        * '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1494,7 +1494,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean)                         * '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1516,7 +1516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) * '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1538,7 +1538,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date)        * '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1637,7 +1637,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) / cast(1 as double)) AS (CAST
 -- !query
 SELECT cast('1' as binary)                        / '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1659,7 +1659,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean)                         / '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1681,7 +1681,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) / '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1703,7 +1703,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date)        / '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1802,7 +1802,7 @@ Project [(cast(cast(1 as decimal(10,0)) as double) % cast(1 as double)) AS (CAST
 -- !query
 SELECT cast('1' as binary)                        % '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1824,7 +1824,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean)                         % '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1846,7 +1846,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00.0' as timestamp) % '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1868,7 +1868,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-11 09:30:00' as date)        % '1' FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1967,7 +1967,7 @@ Project [pmod(cast(cast(1 as decimal(10,0)) as double), cast(1 as double)) AS pm
 -- !query
 SELECT pmod(cast('1' as binary), '1')                        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1989,7 +1989,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast(1 as boolean), '1')                         FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2011,7 +2011,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), '1') FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2033,7 +2033,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT pmod(cast('2017-12-11 09:30:00' as date), '1')        FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/stringCastAndExpressions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/stringCastAndExpressions.sql.out
index 495f996de279e..448ab457d3951 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/stringCastAndExpressions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/stringCastAndExpressions.sql.out
@@ -131,7 +131,7 @@ Project [cast(a#x as binary) AS a#x]
 -- !query
 select cast(a as array<string>) from t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
@@ -153,7 +153,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(a as struct<s:string>) from t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
@@ -175,7 +175,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select cast(a as map<string, string>) from t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/widenSetOperationTypes.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/widenSetOperationTypes.sql.out
index 75975258e8831..ff009f8bd64c0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/widenSetOperationTypes.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/widenSetOperationTypes.sql.out
@@ -169,7 +169,7 @@ Distinct
 -- !query
 SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -194,7 +194,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -219,7 +219,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -244,7 +244,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -428,7 +428,7 @@ Distinct
 -- !query
 SELECT cast(1 as smallint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -453,7 +453,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -478,7 +478,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -503,7 +503,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as smallint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -687,7 +687,7 @@ Distinct
 -- !query
 SELECT cast(1 as int) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -712,7 +712,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -737,7 +737,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -762,7 +762,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as int) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -947,7 +947,7 @@ Distinct
 -- !query
 SELECT cast(1 as bigint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -972,7 +972,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -997,7 +997,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1022,7 +1022,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as bigint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1207,7 +1207,7 @@ Distinct
 -- !query
 SELECT cast(1 as float) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1232,7 +1232,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1257,7 +1257,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1282,7 +1282,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as float) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1466,7 +1466,7 @@ Distinct
 -- !query
 SELECT cast(1 as double) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1491,7 +1491,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1516,7 +1516,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1541,7 +1541,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as double) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1727,7 +1727,7 @@ Distinct
 -- !query
 SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1752,7 +1752,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1777,7 +1777,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1802,7 +1802,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1986,7 +1986,7 @@ Distinct
 -- !query
 SELECT cast(1 as string) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2011,7 +2011,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as string) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2076,7 +2076,7 @@ Distinct
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2101,7 +2101,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2126,7 +2126,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2151,7 +2151,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2176,7 +2176,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2201,7 +2201,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2226,7 +2226,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2251,7 +2251,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2295,7 +2295,7 @@ Distinct
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2320,7 +2320,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2345,7 +2345,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('1' as binary) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2370,7 +2370,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2395,7 +2395,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2420,7 +2420,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2445,7 +2445,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2470,7 +2470,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2495,7 +2495,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2520,7 +2520,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2545,7 +2545,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as string) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2570,7 +2570,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2614,7 +2614,7 @@ Distinct
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2639,7 +2639,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast(1 as boolean) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2664,7 +2664,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2689,7 +2689,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2714,7 +2714,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2739,7 +2739,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2764,7 +2764,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2789,7 +2789,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2814,7 +2814,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2859,7 +2859,7 @@ Distinct
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2884,7 +2884,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2948,7 +2948,7 @@ Distinct
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2973,7 +2973,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2998,7 +2998,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3023,7 +3023,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3048,7 +3048,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3073,7 +3073,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3098,7 +3098,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3143,7 +3143,7 @@ Distinct
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -3168,7 +3168,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/windowFrameCoercion.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/windowFrameCoercion.sql.out
index 50ef283061671..76595c6cbded2 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/windowFrameCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/typeCoercion/native/windowFrameCoercion.sql.out
@@ -276,7 +276,7 @@ Project [count(1) OVER (PARTITION BY 1 ORDER BY CAST(1 AS DECIMAL(10,0)) DESC NU
 -- !query
 SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast(1 as string) DESC RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -299,7 +299,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast('1' as binary) DESC RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -322,7 +322,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast(1 as boolean) DESC RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -345,7 +345,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast('2017-12-11 09:30:00.0' as timestamp) DESC RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM t
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part1.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part1.sql.out
index 07fc99bb3809c..7610adb2076d9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part1.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part1.sql.out
@@ -494,7 +494,7 @@ select
   (select udf(max((select i.unique2 from tenk1 i where i.unique1 = o.unique1))))
 from tenk1 o
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part3.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part3.sql.out
index 2529794a929b6..14f9c4f9d87a6 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part3.sql.out
@@ -2,7 +2,7 @@
 -- !query
 select udf(max(min(unique1))) from tenk1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-join.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-join.sql.out
index 83395e9e9b18b..e5f51cd80bf03 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-join.sql.out
@@ -3008,7 +3008,7 @@ org.apache.spark.sql.AnalysisException
 select * from
   int8_tbl x join (int4_tbl x cross join int4_tbl y) j on udf(q1) = udf(y.f1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3065,7 +3065,7 @@ Project [q1#xL, q2#xL, f1#x, ff#x]
 select udf(t1.uunique1) from
   tenk1 t1 join tenk2 t2 on t1.two = udf(t2.two)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3087,7 +3087,7 @@ org.apache.spark.sql.AnalysisException
 select udf(udf(t2.uunique1)) from
   tenk1 t1 join tenk2 t2 on udf(t1.two) = t2.two
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3109,7 +3109,7 @@ org.apache.spark.sql.AnalysisException
 select udf(uunique1) from
   tenk1 t1 join tenk2 t2 on udf(t1.two) = udf(t2.two)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3433,7 +3433,7 @@ Project [q1#xL, q2#xL, bq1#xL, cq1#xL, least(outer(a.q1), q1, q1)#xL]
 -- !query
 select udf(udf(f1,g)) from int4_tbl a, (select udf(udf(f1)) as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3453,7 +3453,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select udf(f1,g) from int4_tbl a, (select a.f1 as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3473,7 +3473,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select udf(udf(f1,g)) from int4_tbl a cross join (select udf(f1) as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3493,7 +3493,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 select udf(f1,g) from int4_tbl a cross join (select udf(udf(a.f1)) as g) ss
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_having.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_having.sql.out
index 065a0c65a407a..5f7e92a62f302 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_having.sql.out
@@ -146,7 +146,7 @@ Project [udf(min(udf(a)))#x, udf(udf(max(a)))#x]
 -- !query
 SELECT udf(a) FROM test_having HAVING udf(min(a)) < udf(max(a))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -163,7 +163,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT 1 AS one FROM test_having HAVING udf(a) > 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_implicit.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_implicit.sql.out
index 2377140ad92f1..2dac7538cb447 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_implicit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-select_implicit.sql.out
@@ -110,7 +110,7 @@ Project [udf(count(1))#xL]
 -- !query
 SELECT udf(count(*)) FROM test_missing_target GROUP BY udf(a) ORDER BY udf(b)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -323,7 +323,7 @@ Project [udf(count(c))#xL]
 -- !query
 SELECT udf(count(udf(a))) FROM test_missing_target GROUP BY udf(a) ORDER BY udf(b)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-except-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-except-all.sql.out
index 9787bdcc9c352..70b6ec4726f9a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-except-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-except-all.sql.out
@@ -199,7 +199,7 @@ SELECT udf(c1) FROM tab1
 EXCEPT ALL
 SELECT array(1)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -376,7 +376,7 @@ SELECT k FROM tab3
 EXCEPT ALL
 SELECT k, v FROM tab4
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-analytics.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-analytics.sql.out
index 8a9c142bb87e2..ae4dbeca9b090 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-analytics.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-analytics.sql.out
@@ -203,7 +203,7 @@ Aggregate [course#x, year#x, spark_grouping_id#xL], [cast(udf(cast(course#x as s
 -- !query
 SELECT course, udf(year), GROUPING(course) FROM courseSales GROUP BY course, udf(year)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
@@ -219,7 +219,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT course, udf(year), GROUPING_ID(course, year) FROM courseSales GROUP BY udf(course), year
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-by.sql.out
index 6d2d924ce8d46..3f45d866a859e 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-group-by.sql.out
@@ -15,7 +15,7 @@ AS testData(a, b), false, true, LocalTempView, true
 -- !query
 SELECT udf(a), udf(COUNT(b)) FROM testData
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -56,7 +56,7 @@ Aggregate [a#x], [cast(udf(cast(a#x as string)) as int) AS udf(a)#x, count(cast(
 -- !query
 SELECT udf(a), udf(COUNT(udf(b))) FROM testData GROUP BY b
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -145,7 +145,7 @@ Aggregate [(a#x + b#x)], [cast(udf(cast((a#x + b#x) as string)) as int) AS udf((
 -- !query
 SELECT udf(a + 2), udf(COUNT(b)) FROM testData GROUP BY a + 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -218,7 +218,7 @@ Filter (k#x > 1)
 -- !query
 SELECT udf(COUNT(b)) AS k FROM testData GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "GROUP_BY_AGGREGATE",
   "sqlState" : "42903",
@@ -249,7 +249,7 @@ CreateViewCommand `testDataHasSameNameWithAlias`, SELECT * FROM VALUES
 -- !query
 SELECT k AS a, udf(COUNT(udf(v))) FROM testDataHasSameNameWithAlias GROUP BY udf(a)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -269,7 +269,7 @@ SetCommand (spark.sql.groupByAliases,Some(false))
 -- !query
 SELECT a AS k, udf(COUNT(udf(b))) FROM testData GROUP BY k
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -377,7 +377,7 @@ Project [udf(udf(1))#x]
 -- !query
 SELECT udf(id) FROM range(10) HAVING id > 0
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -547,7 +547,7 @@ Aggregate [cast(udf(cast(cast(udf(cast(k#x as string)) as int) as string)) as in
 -- !query
 SELECT every(udf(1))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -571,7 +571,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT some(udf(1S))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -595,7 +595,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT any(udf(1L))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -619,7 +619,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT udf(every("true"))
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -731,7 +731,7 @@ Project [cnt#xL]
 -- !query
 SELECT udf(count(*)) FROM test_agg WHERE count(*) > 1L
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -752,7 +752,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT udf(count(*)) FROM test_agg WHERE count(*) + 1L > 1L
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -773,7 +773,7 @@ org.apache.spark.sql.AnalysisException
 -- !query
 SELECT udf(count(*)) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-intersect-all.sql.out
index ad026de10ed1a..91ba35bad21fc 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-intersect-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-intersect-all.sql.out
@@ -161,7 +161,7 @@ SELECT k, udf(v) FROM tab1
 INTERSECT ALL
 SELECT array(1), udf(2)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -188,7 +188,7 @@ SELECT udf(k) FROM tab1
 INTERSECT ALL
 SELECT udf(k), udf(v) FROM tab2
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-pivot.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-pivot.sql.out
index fa94f77207be0..08d11e0ac4488 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-pivot.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-pivot.sql.out
@@ -346,7 +346,7 @@ PIVOT (
   FOR year IN (2012, 2013)
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -396,7 +396,7 @@ PIVOT (
   FOR course IN ('dotNET', 'Java')
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
@@ -504,7 +504,7 @@ PIVOT (
   FOR year IN (s, 2013)
 )
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-window.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-window.sql.out
index c00c55e6b8c73..977996c684719 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/udf-window.sql.out
@@ -68,7 +68,7 @@ Project [udf(val)#x, cate#x, sum(val) OVER (PARTITION BY cate ORDER BY udf(val)
 SELECT val_long, udf(cate), sum(val_long) OVER(PARTITION BY cate ORDER BY udf(val_long)
 ROWS BETWEEN CURRENT ROW AND 2147483648 FOLLOWING) FROM testData ORDER BY udf(cate), val_long
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -219,7 +219,7 @@ Project [val#x, udf(cate)#x, sum(val) OVER (PARTITION BY cate ORDER BY val DESC
 SELECT udf(val), cate, count(val) OVER(PARTITION BY udf(cate)
 ROWS BETWEEN UNBOUNDED FOLLOWING AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_INVALID_BOUND",
   "sqlState" : "42K09",
@@ -242,7 +242,7 @@ org.apache.spark.sql.AnalysisException
 SELECT udf(val), cate, count(val) OVER(PARTITION BY udf(cate)
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -263,7 +263,7 @@ org.apache.spark.sql.AnalysisException
 SELECT udf(val), cate, count(val) OVER(PARTITION BY udf(cate) ORDER BY udf(val), cate
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_MULTI_ORDER",
   "sqlState" : "42K09",
@@ -285,7 +285,7 @@ org.apache.spark.sql.AnalysisException
 SELECT udf(val), cate, count(val) OVER(PARTITION BY udf(cate) ORDER BY current_timestamp
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ org.apache.spark.sql.AnalysisException
 SELECT udf(val), cate, count(val) OVER(PARTITION BY udf(cate) ORDER BY val
 RANGE BETWEEN 1 FOLLOWING AND 1 PRECEDING) FROM testData ORDER BY udf(cate), val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_WRONG_COMPARISON",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
index cc2cc8bfc0e26..61a2d69a9bee1 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/window.sql.out
@@ -140,7 +140,7 @@ Sort [cate#x ASC NULLS FIRST, val#x ASC NULLS FIRST], true
 SELECT val_long, cate, sum(val_long) OVER(PARTITION BY cate ORDER BY val_long
 ROWS BETWEEN CURRENT ROW AND 2147483648 FOLLOWING) FROM testData ORDER BY cate, val_long
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -376,7 +376,7 @@ SELECT val_date, cate, avg(val_timestamp) OVER(PARTITION BY cate ORDER BY val_da
 RANGE BETWEEN CURRENT ROW AND interval '1 2:3:4.001' day to second FOLLOWING) FROM testData
 ORDER BY cate, val_date
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -416,7 +416,7 @@ Sort [cate#x ASC NULLS FIRST, val#x ASC NULLS FIRST], true
 SELECT val, cate, count(val) OVER(PARTITION BY cate
 ROWS BETWEEN UNBOUNDED FOLLOWING AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_INVALID_BOUND",
   "sqlState" : "42K09",
@@ -439,7 +439,7 @@ org.apache.spark.sql.AnalysisException
 SELECT val, cate, count(val) OVER(PARTITION BY cate
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -460,7 +460,7 @@ org.apache.spark.sql.AnalysisException
 SELECT val, cate, count(val) OVER(PARTITION BY cate ORDER BY val, cate
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_MULTI_ORDER",
   "sqlState" : "42K09",
@@ -482,7 +482,7 @@ org.apache.spark.sql.AnalysisException
 SELECT val, cate, count(val) OVER(PARTITION BY cate ORDER BY current_timestamp
 RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -505,7 +505,7 @@ org.apache.spark.sql.AnalysisException
 SELECT val, cate, count(val) OVER(PARTITION BY cate ORDER BY val
 RANGE BETWEEN 1 FOLLOWING AND 1 PRECEDING) FROM testData ORDER BY cate, val
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_WRONG_COMPARISON",
   "sqlState" : "42K09",
@@ -1257,7 +1257,7 @@ SELECT
 FROM
 	basic_pays
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_1004",
   "messageParameters" : {
@@ -1272,7 +1272,7 @@ SELECT
 FROM
 	basic_pays
 -- !query analysis
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_1004",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 91294fffe049b..62a74435d9bf4 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -127,7 +127,7 @@ select sort_array(array('b', 'd'), '1')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -153,7 +153,7 @@ select sort_array(array('b', 'd'), cast(NULL as boolean))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -449,7 +449,7 @@ select array_size(map('a', 1, 'b', 2))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -598,7 +598,7 @@ select array_insert(array(1, 2, 3), 3, "4")
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.ARRAY_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -664,7 +664,7 @@ select array_compact(id) from values (1) as t(id)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/cast.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/cast.sql.out
index 7492391a32e38..355b65f853fe5 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/cast.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/cast.sql.out
@@ -610,7 +610,7 @@ SELECT HEX(CAST(CAST(123 AS byte) AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -636,7 +636,7 @@ SELECT HEX(CAST(CAST(-123 AS byte) AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -662,7 +662,7 @@ SELECT HEX(CAST(123S AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -688,7 +688,7 @@ SELECT HEX(CAST(-123S AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -714,7 +714,7 @@ SELECT HEX(CAST(123 AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -740,7 +740,7 @@ SELECT HEX(CAST(-123 AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -766,7 +766,7 @@ SELECT HEX(CAST(123L AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
@@ -792,7 +792,7 @@ SELECT HEX(CAST(-123L AS binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/date.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/date.sql.out
index dee745995ea8d..a30030bbaca9b 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/date.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/date.sql.out
@@ -378,7 +378,7 @@ select date_add('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -404,7 +404,7 @@ select date_add('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -430,7 +430,7 @@ select date_add('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -553,7 +553,7 @@ select date_sub('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -579,7 +579,7 @@ select date_sub('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -605,7 +605,7 @@ select date_sub('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -728,7 +728,7 @@ select date '2011-11-11' + 1E1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -834,7 +834,7 @@ select date'2011-11-11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -860,7 +860,7 @@ select '1' + date'2011-11-11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-disabled.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-disabled.sql.out
index 557f8684ac6bd..861afcc7b1005 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-disabled.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-disabled.sql.out
@@ -132,7 +132,7 @@ SELECT 1 FROM `hello`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -169,7 +169,7 @@ ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -191,7 +191,7 @@ ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -213,7 +213,7 @@ SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -235,7 +235,7 @@ SELECT 1 FROM not_exist AS X(`hello`)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-enabled.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-enabled.sql.out
index b2b44777b9ef0..2854e09aab6bd 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-enabled.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/double-quoted-identifiers-enabled.sql.out
@@ -4,7 +4,7 @@ SELECT 1 FROM "not_exist"
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -41,7 +41,7 @@ ALTER TABLE "not_exist" ADD COLUMN not_exist int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -63,7 +63,7 @@ ALTER TABLE not_exist ADD COLUMN "not_exist" int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -85,7 +85,7 @@ SELECT 1 AS "not_exist" FROM not_exist
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -107,7 +107,7 @@ SELECT 1 FROM not_exist AS X("hello")
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -175,7 +175,7 @@ SELECT 1 FROM `hello`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -212,7 +212,7 @@ ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -234,7 +234,7 @@ ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -256,7 +256,7 @@ SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -278,7 +278,7 @@ SELECT 1 FROM not_exist AS X(`hello`)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -346,7 +346,7 @@ SELECT "hello"
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
index c5c73002a1a91..9eb4a4766df89 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
@@ -291,7 +291,7 @@ select '2' / interval 2 second
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -315,7 +315,7 @@ select '2' / interval 2 year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -425,7 +425,7 @@ select 2 / interval '2' year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -449,7 +449,7 @@ select 2 / interval '2' hour
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -473,7 +473,7 @@ select null / interval '2' year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -497,7 +497,7 @@ select null / interval '2' hour
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1857,7 +1857,7 @@ select
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1897,7 +1897,7 @@ select interval '2' year + '3-3'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1921,7 +1921,7 @@ select interval '2' year - '4'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2003,7 +2003,7 @@ select interval '2' year + str from interval_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2027,7 +2027,7 @@ select interval '2' year - str from interval_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2101,7 +2101,7 @@ select interval '2-2' year to month + interval '3' day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2127,7 +2127,7 @@ select interval '3' day + interval '2-2' year to month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2153,7 +2153,7 @@ select interval '2-2' year to month - interval '3' day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2179,7 +2179,7 @@ select interval '3' day - interval '2-2' year to month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2203,7 +2203,7 @@ select 1 - interval '2' second
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2229,7 +2229,7 @@ select 1 + interval '2' month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2253,7 +2253,7 @@ select interval '2' second + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2279,7 +2279,7 @@ select interval '2' month - 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3309,7 +3309,7 @@ SELECT INTERVAL 1 MONTH > INTERVAL 20 DAYS
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3333,7 +3333,7 @@ SELECT INTERVAL '1' DAY < '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3357,7 +3357,7 @@ SELECT INTERVAL '1' DAY = '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3381,7 +3381,7 @@ SELECT INTERVAL '1' DAY > '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3405,7 +3405,7 @@ SELECT '1' < INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3429,7 +3429,7 @@ SELECT '1' = INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3453,7 +3453,7 @@ SELECT '1' > INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3477,7 +3477,7 @@ SELECT INTERVAL '1' YEAR < '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3501,7 +3501,7 @@ SELECT INTERVAL '1' YEAR = '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3525,7 +3525,7 @@ SELECT INTERVAL '1' YEAR > '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3549,7 +3549,7 @@ SELECT '1' < INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3573,7 +3573,7 @@ SELECT '1' = INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3597,7 +3597,7 @@ SELECT '1' > INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3637,7 +3637,7 @@ SELECT array(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3677,7 +3677,7 @@ SELECT coalesce(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3749,7 +3749,7 @@ SELECT div(INTERVAL '1' MONTH, INTERVAL '-1' DAY)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
index 56f114970034c..85bcc2713ff5c 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
@@ -535,7 +535,7 @@ select +date '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -561,7 +561,7 @@ select +timestamp '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -595,7 +595,7 @@ select +map(1, 2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -621,7 +621,7 @@ select +array(1,2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -647,7 +647,7 @@ select +named_struct('a', 1, 'b', 'spark')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -673,7 +673,7 @@ select +X'1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -699,7 +699,7 @@ select -date '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -725,7 +725,7 @@ select -timestamp '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -751,7 +751,7 @@ select -x'2379ACFe'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/map.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/map.sql.out
index c4c9d13af991c..71f5491287c3c 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/map.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/map.sql.out
@@ -68,7 +68,7 @@ select map_contains_key(map('1', 'a', '2', 'b'), 1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -94,7 +94,7 @@ select map_contains_key(map(1, 'a', 2, 'b'), '1')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/string-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/string-functions.sql.out
index 3e72daf6dfc29..e55e3fe2da554 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/string-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/string-functions.sql.out
@@ -1628,7 +1628,7 @@ select to_binary('abc', 1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1654,7 +1654,7 @@ select to_binary('abc', 'invalidFormat')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1688,7 +1688,7 @@ SELECT to_binary('abc', fmtField) FROM fmtTable
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/timestamp.sql.out
index 7433fcd52b9c7..51314079a8d96 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/timestamp.sql.out
@@ -763,7 +763,7 @@ select timestamp'2011-11-11 11:11:11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -787,7 +787,7 @@ select '1' + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -811,7 +811,7 @@ select timestamp'2011-11-11 11:11:11' + null
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -835,7 +835,7 @@ select null + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
index cf29eff19fbb8..414198b19645d 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
@@ -210,7 +210,7 @@ SELECT try_add(interval 2 year, interval 2 second)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index 58d25f674ea96..6c87afccea20d 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -127,7 +127,7 @@ select sort_array(array('b', 'd'), '1')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -153,7 +153,7 @@ select sort_array(array('b', 'd'), cast(NULL as boolean))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -330,7 +330,7 @@ select array_size(map('a', 1, 'b', 2))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -479,7 +479,7 @@ select array_insert(array(1, 2, 3), 3, "4")
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.ARRAY_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -545,7 +545,7 @@ select array_compact(id) from values (1) as t(id)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/bitwise.sql.out b/sql/core/src/test/resources/sql-tests/results/bitwise.sql.out
index 3407e72e6fd26..6120132dd0853 100644
--- a/sql/core/src/test/resources/sql-tests/results/bitwise.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/bitwise.sql.out
@@ -148,7 +148,7 @@ select bit_count("bit count")
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -174,7 +174,7 @@ select bit_count('a')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/column-resolution-aggregate.sql.out b/sql/core/src/test/resources/sql-tests/results/column-resolution-aggregate.sql.out
index e8ab766751c43..bc4942be78605 100644
--- a/sql/core/src/test/resources/sql-tests/results/column-resolution-aggregate.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/column-resolution-aggregate.sql.out
@@ -20,7 +20,7 @@ SELECT max(a) AS b, b FROM v1 GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -45,7 +45,7 @@ SELECT a AS k FROM v1 GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -61,7 +61,7 @@ SELECT x FROM v2 GROUP BY all
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -77,7 +77,7 @@ SELECT a AS all, b FROM v1 GROUP BY all
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/results/columnresolution-negative.sql.out b/sql/core/src/test/resources/sql-tests/results/columnresolution-negative.sql.out
index b3e62faa3b343..e87c0eb3d84d7 100644
--- a/sql/core/src/test/resources/sql-tests/results/columnresolution-negative.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/columnresolution-negative.sql.out
@@ -283,7 +283,7 @@ SELECT db1.t1.i1 FROM t1, mydb2.t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -322,7 +322,7 @@ SELECT mydb1.t1 FROM t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -367,7 +367,7 @@ SELECT t1 FROM mydb1.t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -398,7 +398,7 @@ SELECT mydb1.t1.i1 FROM t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/csv-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/csv-functions.sql.out
index 50d7f406b026a..d91d70cd36ba1 100644
--- a/sql/core/src/test/resources/sql-tests/results/csv-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/csv-functions.sql.out
@@ -42,7 +42,7 @@ select from_csv('1', 'a InvalidType')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.catalyst.parser.ParseException
+org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "PARSE_SYNTAX_ERROR",
   "sqlState" : "42601",
@@ -170,7 +170,7 @@ select schema_of_csv(null)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_NULL",
   "sqlState" : "42K09",
@@ -201,7 +201,7 @@ SELECT schema_of_csv(csvField) FROM csvTable
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/cte-legacy.sql.out b/sql/core/src/test/resources/sql-tests/results/cte-legacy.sql.out
index 4ef176e352910..b79d8b1afb0d4 100644
--- a/sql/core/src/test/resources/sql-tests/results/cte-legacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/cte-legacy.sql.out
@@ -44,7 +44,7 @@ SELECT * FROM cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -259,7 +259,7 @@ SELECT * FROM t2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -310,7 +310,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -343,7 +343,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -378,7 +378,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/cte-nested.sql.out b/sql/core/src/test/resources/sql-tests/results/cte-nested.sql.out
index 7c683c9df07af..efb0bf48383cd 100644
--- a/sql/core/src/test/resources/sql-tests/results/cte-nested.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/cte-nested.sql.out
@@ -44,7 +44,7 @@ SELECT * FROM cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -379,7 +379,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -414,7 +414,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/cte-nonlegacy.sql.out b/sql/core/src/test/resources/sql-tests/results/cte-nonlegacy.sql.out
index 17abf4cbc893c..a93bcb7593768 100644
--- a/sql/core/src/test/resources/sql-tests/results/cte-nonlegacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/cte-nonlegacy.sql.out
@@ -44,7 +44,7 @@ SELECT * FROM cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -315,7 +315,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -350,7 +350,7 @@ SELECT * FROM (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/cte.sql.out b/sql/core/src/test/resources/sql-tests/results/cte.sql.out
index cf585b8d88402..cbff3e8d08b16 100644
--- a/sql/core/src/test/resources/sql-tests/results/cte.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/cte.sql.out
@@ -20,7 +20,7 @@ WITH s AS (SELECT 1 FROM s) SELECT * FROM s
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -43,7 +43,7 @@ SELECT * FROM r
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -75,7 +75,7 @@ WITH s1 AS (SELECT 1 FROM s2), s2 AS (SELECT 1 FROM s1) SELECT * FROM s1, s2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -208,7 +208,7 @@ SELECT 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -333,7 +333,7 @@ select id from cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -358,7 +358,7 @@ select 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -407,7 +407,7 @@ SELECT * FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -524,7 +524,7 @@ with cte AS (SELECT * FROM va) SELECT * FROM cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -546,7 +546,7 @@ with cte as (select * from cte) select * from cte
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/date.sql.out b/sql/core/src/test/resources/sql-tests/results/date.sql.out
index 322d916f28295..bae2b42912225 100644
--- a/sql/core/src/test/resources/sql-tests/results/date.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/date.sql.out
@@ -332,7 +332,7 @@ select date_add('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -358,7 +358,7 @@ select date_add('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -384,7 +384,7 @@ select date_add('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -497,7 +497,7 @@ select date_sub('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -523,7 +523,7 @@ select date_sub('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -549,7 +549,7 @@ select date_sub('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -630,7 +630,7 @@ select date_add('2011-11-11', int_str) from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -656,7 +656,7 @@ select date_sub('2011-11-11', int_str) from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -698,7 +698,7 @@ select date '2011-11-11' + 1E1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -756,7 +756,7 @@ select date '2001-10-01' - '2001-09-28'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -814,7 +814,7 @@ select date '2001-09-28' - date_str from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -840,7 +840,7 @@ select date'2011-11-11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -866,7 +866,7 @@ select '1' + date'2011-11-11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/datetime-legacy.sql.out b/sql/core/src/test/resources/sql-tests/results/datetime-legacy.sql.out
index a824fd96c1166..1642e10ea416c 100644
--- a/sql/core/src/test/resources/sql-tests/results/datetime-legacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/datetime-legacy.sql.out
@@ -332,7 +332,7 @@ select date_add('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -358,7 +358,7 @@ select date_add('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -384,7 +384,7 @@ select date_add('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -497,7 +497,7 @@ select date_sub('2011-11-11', 1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -523,7 +523,7 @@ select date_sub('2011-11-11', 1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -549,7 +549,7 @@ select date_sub('2011-11-11', 1E1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -630,7 +630,7 @@ select date_add('2011-11-11', int_str) from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -656,7 +656,7 @@ select date_sub('2011-11-11', int_str) from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -698,7 +698,7 @@ select date '2011-11-11' + 1E1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -756,7 +756,7 @@ select date '2001-10-01' - '2001-09-28'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -814,7 +814,7 @@ select date '2001-09-28' - date_str from date_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -840,7 +840,7 @@ select date'2011-11-11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -866,7 +866,7 @@ select '1' + date'2011-11-11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1828,7 +1828,7 @@ select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1854,7 +1854,7 @@ select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1904,7 +1904,7 @@ select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1930,7 +1930,7 @@ select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1956,7 +1956,7 @@ select timestamp'2011-11-11 11:11:11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1980,7 +1980,7 @@ select '1' + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2004,7 +2004,7 @@ select timestamp'2011-11-11 11:11:11' + null
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2028,7 +2028,7 @@ select null + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/double-quoted-identifiers.sql.out b/sql/core/src/test/resources/sql-tests/results/double-quoted-identifiers.sql.out
index 557f8684ac6bd..861afcc7b1005 100644
--- a/sql/core/src/test/resources/sql-tests/results/double-quoted-identifiers.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/double-quoted-identifiers.sql.out
@@ -132,7 +132,7 @@ SELECT 1 FROM `hello`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -169,7 +169,7 @@ ALTER TABLE `not_exist` ADD COLUMN not_exist int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -191,7 +191,7 @@ ALTER TABLE not_exist ADD COLUMN `not_exist` int
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -213,7 +213,7 @@ SELECT 1 AS `not_exist` FROM `not_exist`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -235,7 +235,7 @@ SELECT 1 FROM not_exist AS X(`hello`)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/except-all.sql.out b/sql/core/src/test/resources/sql-tests/results/except-all.sql.out
index f487a92e678fe..437a5553d3856 100644
--- a/sql/core/src/test/resources/sql-tests/results/except-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/except-all.sql.out
@@ -137,7 +137,7 @@ SELECT array(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -227,7 +227,7 @@ SELECT k, v FROM tab4
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/results/group-analytics.sql.out b/sql/core/src/test/resources/sql-tests/results/group-analytics.sql.out
index d9e1a25b57478..4286034b92840 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-analytics.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-analytics.sql.out
@@ -464,7 +464,7 @@ SELECT course, year, GROUPING(course) FROM courseSales GROUP BY course, year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
@@ -482,7 +482,7 @@ SELECT course, year, GROUPING_ID(course, year) FROM courseSales GROUP BY course,
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by-all-duckdb.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by-all-duckdb.sql.out
index 80d73eceb1da9..30b5846ceff8a 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by-all-duckdb.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by-all-duckdb.sql.out
@@ -55,7 +55,7 @@ SELECT (g+i)%2 + SUM(i), SUM(i), SUM(g) FROM integers GROUP BY ALL ORDER BY 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -101,7 +101,7 @@ SELECT c0 FROM (SELECT 1 c0, 1 c1 UNION ALL SELECT 1, 2) t0 GROUP BY ALL HAVING
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by-all-mosha.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by-all-mosha.sql.out
index 0da8332616946..9bc5fe0cc379e 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by-all-mosha.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by-all-mosha.sql.out
@@ -56,7 +56,7 @@ SELECT i + SUM(f) FROM stuff GROUP BY ALL
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -101,7 +101,7 @@ SELECT SUM(i) si FROM stuff GROUP BY ALL HAVING i > 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -124,7 +124,7 @@ SELECT SUM(i) si FROM stuff GROUP BY ALL ORDER BY i DESC
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by-all.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by-all.sql.out
index bf6394e31c8f4..bf3c1a3c21b8a 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by-all.sql.out
@@ -193,7 +193,7 @@ select id + count(*) from data group by all
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -212,7 +212,7 @@ select (id + id) / 2 + count(*) * 2 from data group by all
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -253,7 +253,7 @@ select (select count(*) from data d1 where d1.country = d2.country) + count(id)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_ALL_IN_GROUP_BY",
   "sqlState" : "42803",
@@ -272,7 +272,7 @@ select non_exist from data group by all
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out
index 232abb1dd23c5..6557b18cfcf15 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out
@@ -47,7 +47,7 @@ SELECT a, COUNT(b) FILTER (WHERE a >= 2) FROM testData
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -237,7 +237,7 @@ SELECT a, COUNT(b) FILTER (WHERE a != 2) FROM testData GROUP BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -724,7 +724,7 @@ SELECT a + 2, COUNT(b) FILTER (WHERE b IN (1, 2)) FROM testData GROUP BY a + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index d652cbfa49372..acdf8d5a8547f 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -14,7 +14,7 @@ SELECT a, COUNT(b) FROM testData
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -52,7 +52,7 @@ SELECT a, COUNT(b) FROM testData GROUP BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -123,7 +123,7 @@ SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -198,7 +198,7 @@ SELECT a AS k, COUNT(non_existing) FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -221,7 +221,7 @@ SELECT COUNT(b) AS k FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "GROUP_BY_AGGREGATE",
   "sqlState" : "42903",
@@ -252,7 +252,7 @@ SELECT k AS a, COUNT(v) FROM testDataHasSameNameWithAlias GROUP BY a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -276,7 +276,7 @@ SELECT a AS k, COUNT(b) FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -362,7 +362,7 @@ SELECT id FROM range(10) HAVING id > 0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -406,7 +406,7 @@ SELECT 1 FROM range(10) HAVING MAX(id) > 0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -550,7 +550,7 @@ SELECT every(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -576,7 +576,7 @@ SELECT some(1S)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -602,7 +602,7 @@ SELECT any(1L)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -628,7 +628,7 @@ SELECT every("true")
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -654,7 +654,7 @@ SELECT bool_and(1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -680,7 +680,7 @@ SELECT bool_or(1.0D)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -817,7 +817,7 @@ SELECT count(*) FROM test_agg WHERE count(*) > 1L
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -840,7 +840,7 @@ SELECT count(*) FROM test_agg WHERE count(*) + 1L > 1L
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -863,7 +863,7 @@ SELECT count(*) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
diff --git a/sql/core/src/test/resources/sql-tests/results/grouping_set.sql.out b/sql/core/src/test/resources/sql-tests/results/grouping_set.sql.out
index 61d9523da6d44..5849acd094fbd 100644
--- a/sql/core/src/test/resources/sql-tests/results/grouping_set.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/grouping_set.sql.out
@@ -165,7 +165,7 @@ SELECT c1 FROM (values (1,2), (3,2)) t(c1, c2) GROUP BY GROUPING SETS (())
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
diff --git a/sql/core/src/test/resources/sql-tests/results/having.sql.out b/sql/core/src/test/resources/sql-tests/results/having.sql.out
index 438164bf2e33c..6eaba0b4119cb 100644
--- a/sql/core/src/test/resources/sql-tests/results/having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/having.sql.out
@@ -34,7 +34,7 @@ SELECT count(k) FROM hav GROUP BY v HAVING v = array(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/hll.sql.out b/sql/core/src/test/resources/sql-tests/results/hll.sql.out
index c8a2e9a2faf90..8a3f1cb5ea233 100644
--- a/sql/core/src/test/resources/sql-tests/results/hll.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/hll.sql.out
@@ -77,7 +77,7 @@ FROM VALUES (ARRAY(1, 2)), (ARRAY(3, 4)) tab(col)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -190,7 +190,7 @@ SELECT hll_union(1, 2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
index 9410ccc5e5428..8eabb74da97ba 100644
--- a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
@@ -1024,7 +1024,7 @@ SELECT IDENTIFIER('t').c1 FROM VALUES(1) AS T(c1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
index 10dfb51358f5f..44f95f225abe1 100644
--- a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
@@ -94,7 +94,7 @@ SELECT array(1), 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -123,7 +123,7 @@ SELECT k, v FROM tab2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/results/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
index 2f8185f78d8da..fe15ade941785 100644
--- a/sql/core/src/test/resources/sql-tests/results/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
@@ -189,7 +189,7 @@ select '2' / interval 2 second
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -213,7 +213,7 @@ select '2' / interval 2 year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -323,7 +323,7 @@ select 2 / interval '2' year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -347,7 +347,7 @@ select 2 / interval '2' hour
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -371,7 +371,7 @@ select null / interval '2' year
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -395,7 +395,7 @@ select null / interval '2' hour
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1738,7 +1738,7 @@ select
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1778,7 +1778,7 @@ select interval '2' year + '3-3'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1802,7 +1802,7 @@ select interval '2' year - '4'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1850,7 +1850,7 @@ select interval '2' year + str from interval_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1874,7 +1874,7 @@ select interval '2' year - str from interval_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1914,7 +1914,7 @@ select interval '2-2' year to month + interval '3' day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1940,7 +1940,7 @@ select interval '3' day + interval '2-2' year to month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1966,7 +1966,7 @@ select interval '2-2' year to month - interval '3' day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1992,7 +1992,7 @@ select interval '3' day - interval '2-2' year to month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2016,7 +2016,7 @@ select 1 - interval '2' second
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2042,7 +2042,7 @@ select 1 + interval '2' month
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2066,7 +2066,7 @@ select interval '2' second + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2092,7 +2092,7 @@ select interval '2' month - 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3122,7 +3122,7 @@ SELECT INTERVAL 1 MONTH > INTERVAL 20 DAYS
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3146,7 +3146,7 @@ SELECT INTERVAL '1' DAY < '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3170,7 +3170,7 @@ SELECT INTERVAL '1' DAY = '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3194,7 +3194,7 @@ SELECT INTERVAL '1' DAY > '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3218,7 +3218,7 @@ SELECT '1' < INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3242,7 +3242,7 @@ SELECT '1' = INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3266,7 +3266,7 @@ SELECT '1' > INTERVAL '1' DAY
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3290,7 +3290,7 @@ SELECT INTERVAL '1' YEAR < '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3314,7 +3314,7 @@ SELECT INTERVAL '1' YEAR = '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3338,7 +3338,7 @@ SELECT INTERVAL '1' YEAR > '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3362,7 +3362,7 @@ SELECT '1' < INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3386,7 +3386,7 @@ SELECT '1' = INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3410,7 +3410,7 @@ SELECT '1' > INTERVAL '1' YEAR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3450,7 +3450,7 @@ SELECT array(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3490,7 +3490,7 @@ SELECT coalesce(INTERVAL 1 MONTH, INTERVAL 20 DAYS)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3562,7 +3562,7 @@ SELECT div(INTERVAL '1' MONTH, INTERVAL '-1' DAY)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/join-lateral.sql.out b/sql/core/src/test/resources/sql-tests/results/join-lateral.sql.out
index ddee595372b09..0bb83be0f03dd 100644
--- a/sql/core/src/test/resources/sql-tests/results/join-lateral.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/join-lateral.sql.out
@@ -317,7 +317,7 @@ SELECT * FROM t1 JOIN LATERAL (SELECT t1.c1 AS a, t2.c1 AS b) s JOIN t2 ON s.b =
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -355,7 +355,7 @@ SELECT * FROM t1, LATERAL (SELECT c1 + c2 + rand(0) AS c3)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.NON_DETERMINISTIC_LATERAL_SUBQUERIES",
   "sqlState" : "0A000",
@@ -377,7 +377,7 @@ SELECT * FROM t1, LATERAL (SELECT rand(0) FROM t2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.NON_DETERMINISTIC_LATERAL_SUBQUERIES",
   "sqlState" : "0A000",
@@ -399,7 +399,7 @@ SELECT * FROM t1 JOIN LATERAL (SELECT * FROM t2) s ON t1.c1 + rand(0) = s.c1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.LATERAL_JOIN_CONDITION_NON_DETERMINISTIC",
   "sqlState" : "0A000",
@@ -476,7 +476,7 @@ SELECT * FROM t1, LATERAL (SELECT * FROM t2, LATERAL (SELECT t1.c1 + t2.c1))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -498,7 +498,7 @@ SELECT * FROM t1, LATERAL (SELECT * FROM (SELECT c1), LATERAL (SELECT c2))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -538,7 +538,7 @@ SELECT * FROM t1, LATERAL (SELECT c1, (SELECT SUM(c2) FROM t2 WHERE c1 = t1.c1))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -860,7 +860,7 @@ SELECT * FROM t1 JOIN LATERAL
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1165,7 +1165,7 @@ SELECT * FROM t1 JOIN LATERAL
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1193,7 +1193,7 @@ SELECT * FROM t1 JOIN LATERAL
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1344,7 +1344,7 @@ SELECT * FROM t1 JOIN LATERAL (SELECT sum(c1) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -1755,7 +1755,7 @@ SELECT t.* FROM t1, LATERAL stack(c1, c2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out
index 253a255fc1652..efa8012dcf80e 100644
--- a/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out
@@ -172,7 +172,7 @@ select from_json('{"a":1}', 'a InvalidType')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.catalyst.parser.ParseException
+org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "PARSE_SYNTAX_ERROR",
   "sqlState" : "42601",
@@ -494,7 +494,7 @@ select schema_of_json(null)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_NULL",
   "sqlState" : "42K09",
@@ -525,7 +525,7 @@ SELECT schema_of_json(jsonField) FROM jsonTable
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -558,7 +558,7 @@ select json_array_length(2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -706,7 +706,7 @@ select json_object_keys(200)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/limit.sql.out b/sql/core/src/test/resources/sql-tests/results/limit.sql.out
index e07ee71aa882a..c29feb656d87b 100644
--- a/sql/core/src/test/resources/sql-tests/results/limit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/limit.sql.out
@@ -49,7 +49,7 @@ SELECT * FROM testdata LIMIT -1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NEGATIVE",
   "messageParameters" : {
@@ -72,7 +72,7 @@ SELECT * FROM testData TABLESAMPLE (-1 ROWS)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NEGATIVE",
   "messageParameters" : {
@@ -103,7 +103,7 @@ SELECT * FROM testdata LIMIT CAST(NULL AS INT)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_NULL",
   "messageParameters" : {
@@ -125,7 +125,7 @@ SELECT * FROM testdata LIMIT key > 3
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
@@ -147,7 +147,7 @@ SELECT * FROM testdata LIMIT true
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.DATA_TYPE",
   "messageParameters" : {
@@ -163,7 +163,7 @@ SELECT * FROM testdata LIMIT 'a'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.DATA_TYPE",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/results/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
index 56f114970034c..85bcc2713ff5c 100644
--- a/sql/core/src/test/resources/sql-tests/results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
@@ -535,7 +535,7 @@ select +date '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -561,7 +561,7 @@ select +timestamp '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -595,7 +595,7 @@ select +map(1, 2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -621,7 +621,7 @@ select +array(1,2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -647,7 +647,7 @@ select +named_struct('a', 1, 'b', 'spark')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -673,7 +673,7 @@ select +X'1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -699,7 +699,7 @@ select -date '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -725,7 +725,7 @@ select -timestamp '1999-01-01'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -751,7 +751,7 @@ select -x'2379ACFe'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/map.sql.out b/sql/core/src/test/resources/sql-tests/results/map.sql.out
index c4c9d13af991c..71f5491287c3c 100644
--- a/sql/core/src/test/resources/sql-tests/results/map.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/map.sql.out
@@ -68,7 +68,7 @@ select map_contains_key(map('1', 'a', '2', 'b'), 1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -94,7 +94,7 @@ select map_contains_key(map(1, 'a', 2, 'b'), '1')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_FUNCTION_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/mask-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/mask-functions.sql.out
index d5345de064c6e..c00e89da6cb3c 100644
--- a/sql/core/src/test/resources/sql-tests/results/mask-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/mask-functions.sql.out
@@ -44,7 +44,7 @@ SELECT mask('AbCD123-@$#', 'Qa', 'qa', 'da', 'oa')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
@@ -435,7 +435,7 @@ SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 'a') as t(c1, rep
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -460,7 +460,7 @@ SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 'ABC') as t(c1, r
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
@@ -485,7 +485,7 @@ SELECT mask(c1, replaceArg) from values('abcd-EFGH-8765-4321', 123) as t(c1, rep
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -511,7 +511,7 @@ SELECT mask('abcd-EFGH-8765-4321', 'A', 'w', '')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
@@ -534,7 +534,7 @@ SELECT mask('abcd-EFGH-8765-4321', 'A', 'abc')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INPUT_SIZE_NOT_ONE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
index 3b223cc0e1529..77c15b56c8dab 100644
--- a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
@@ -183,7 +183,7 @@ SELECT * FROM explode(collection => TABLE(v))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/natural-join.sql.out b/sql/core/src/test/resources/sql-tests/results/natural-join.sql.out
index a8c7ef556fbb7..38791e6741fc4 100644
--- a/sql/core/src/test/resources/sql-tests/results/natural-join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/natural-join.sql.out
@@ -248,7 +248,7 @@ SELECT nt2.k FROM (SELECT * FROM nt1 natural join nt2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/order-by-all.sql.out b/sql/core/src/test/resources/sql-tests/results/order-by-all.sql.out
index 0acfda5a6fde5..b0fcfbcb633af 100644
--- a/sql/core/src/test/resources/sql-tests/results/order-by-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/order-by-all.sql.out
@@ -184,7 +184,7 @@ from values('Lisa', 'Sales', 10000, 35) as T(name, dept, salary, age)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
index 2b7a36395bf53..a83eee69fec37 100644
--- a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
@@ -177,7 +177,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -205,7 +205,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -232,7 +232,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -260,7 +260,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -288,7 +288,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -315,7 +315,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -407,7 +407,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -436,7 +436,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -464,7 +464,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -493,7 +493,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -522,7 +522,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
@@ -550,7 +550,7 @@ ORDER BY salary
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/results/pivot.sql.out b/sql/core/src/test/resources/sql-tests/results/pivot.sql.out
index 75eb7c5ab31a8..aaafb19cb979f 100644
--- a/sql/core/src/test/resources/sql-tests/results/pivot.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/pivot.sql.out
@@ -238,7 +238,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -282,7 +282,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
@@ -364,7 +364,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part1.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part1.sql.out
index fcd31080918e3..42cf942add486 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part1.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part1.sql.out
@@ -507,7 +507,7 @@ from tenk1 o
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part3.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part3.sql.out
index a971f348cdca4..038bcc0283a61 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/aggregates_part3.sql.out
@@ -4,7 +4,7 @@ select max(min(unique1)) from tenk1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out
index 468239606c1a6..bcd14c72a831b 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out
@@ -69,7 +69,7 @@ CREATE VIEW key_dependent_view_no_cols AS
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -652,7 +652,7 @@ CREATE VIEW v10_temp AS SELECT * FROM v7_temp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -674,7 +674,7 @@ CREATE VIEW v11_temp AS SELECT t1.id, t2.a FROM base_table t1, v10_temp t2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -696,7 +696,7 @@ CREATE VIEW v12_temp AS SELECT true FROM v11_temp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/join.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/join.sql.out
index 44c993b73d783..7dd59751b3ae7 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/join.sql.out
@@ -3272,7 +3272,7 @@ select * from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3305,7 +3305,7 @@ select t1.uunique1 from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3329,7 +3329,7 @@ select t2.uunique1 from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3353,7 +3353,7 @@ select uunique1 from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3567,7 +3567,7 @@ select f1,g from int4_tbl a, (select f1 as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3589,7 +3589,7 @@ select f1,g from int4_tbl a, (select a.f1 as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3611,7 +3611,7 @@ select f1,g from int4_tbl a cross join (select f1 as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3633,7 +3633,7 @@ select f1,g from int4_tbl a cross join (select a.f1 as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/limit.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/limit.sql.out
index e76ba10299e9e..004b7aa8a6892 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/limit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/limit.sql.out
@@ -130,7 +130,7 @@ select * from int8_tbl limit (case when random() < 0.5 then bigint(null) end)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
@@ -152,7 +152,7 @@ select * from int8_tbl offset (case when random() < 0.5 then bigint(null) end)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_LIMIT_LIKE_EXPRESSION.IS_UNFOLDABLE",
   "messageParameters" : {
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/numeric.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/numeric.sql.out
index 98159c947a292..7b40f0bcaf233 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/numeric.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/numeric.sql.out
@@ -4712,7 +4712,7 @@ SELECT '' AS to_number_2,  to_number('-34,338,492.654,878', '99G999G999D999G999'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_FORMAT.THOUSANDS_SEPS_MUST_BEFORE_DEC",
   "sqlState" : "42601",
@@ -4774,7 +4774,7 @@ SELECT '' AS to_number_15, to_number('123,000','999G')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_FORMAT.CONT_THOUSANDS_SEPS",
   "sqlState" : "42601",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_having.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_having.sql.out
index 0d25ff9f47147..dc295b0578b01 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_having.sql.out
@@ -139,7 +139,7 @@ SELECT a FROM test_having HAVING min(a) < max(a)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -158,7 +158,7 @@ SELECT 1 AS one FROM test_having HAVING a > 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_implicit.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_implicit.sql.out
index b1087b796a9ea..f0c283cb40365 100755
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_implicit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/select_implicit.sql.out
@@ -118,7 +118,7 @@ SELECT count(*) FROM test_missing_target GROUP BY a ORDER BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -365,7 +365,7 @@ SELECT count(a) FROM test_missing_target GROUP BY a ORDER BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/union.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/union.sql.out
index bc33106321c35..7c920bbd32b3c 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/union.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/union.sql.out
@@ -522,7 +522,7 @@ SELECT q1 FROM int8_tbl EXCEPT SELECT q2 FROM int8_tbl ORDER BY q2 LIMIT 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/window_part3.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/window_part3.sql.out
index 53f9f6cee8c46..86ca4e3a0371a 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/window_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/window_part3.sql.out
@@ -253,7 +253,7 @@ from t1 where f1 = f2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -330,7 +330,7 @@ SELECT * FROM empsalary INNER JOIN tenk1 ON row_number() OVER (ORDER BY salary)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_EXPR_FOR_OPERATOR",
   "messageParameters" : {
@@ -351,7 +351,7 @@ SELECT rank() OVER (ORDER BY 1), count(*) FROM empsalary GROUP BY 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_EXPR_FOR_OPERATOR",
   "messageParameters" : {
@@ -455,7 +455,7 @@ SELECT ntile(0) OVER (ORDER BY ten), ten, four FROM tenk1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
@@ -480,7 +480,7 @@ SELECT nth_value(four, 0) OVER (ORDER BY ten), ten, four FROM tenk1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/postgreSQL/with.sql.out b/sql/core/src/test/resources/sql-tests/results/postgreSQL/with.sql.out
index a3e869422c273..af1c33023a912 100644
--- a/sql/core/src/test/resources/sql-tests/results/postgreSQL/with.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/postgreSQL/with.sql.out
@@ -215,7 +215,7 @@ SELECT * FROM outermost ORDER BY 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -410,7 +410,7 @@ WITH test AS (SELECT 42) INSERT INTO test VALUES (1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/query_regex_column.sql.out b/sql/core/src/test/resources/sql-tests/results/query_regex_column.sql.out
index 83a3d2c254be9..8df97c723e101 100644
--- a/sql/core/src/test/resources/sql-tests/results/query_regex_column.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/query_regex_column.sql.out
@@ -32,7 +32,7 @@ SELECT `(a)?+.+` FROM testData2 WHERE a = 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -55,7 +55,7 @@ SELECT t.`(a)?+.+` FROM testData2 t WHERE a = 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -78,7 +78,7 @@ SELECT `(a|b)` FROM testData2 WHERE a = 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -101,7 +101,7 @@ SELECT `(a|b)?+.+` FROM testData2 WHERE a = 2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -124,7 +124,7 @@ SELECT SUM(`(a|b)?+.+`) FROM testData2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -147,7 +147,7 @@ SELECT SUM(`(a)`) FROM testData2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -381,7 +381,7 @@ SELECT SUM(a) FROM testdata3 GROUP BY `(a)`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -404,7 +404,7 @@ SELECT SUM(a) FROM testdata3 GROUP BY `(a)?+.+`
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/random.sql.out b/sql/core/src/test/resources/sql-tests/results/random.sql.out
index dea2c69ba0351..8a182a0646cac 100644
--- a/sql/core/src/test/resources/sql-tests/results/random.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/random.sql.out
@@ -36,7 +36,7 @@ SELECT rand(1.0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -94,7 +94,7 @@ SELECT rand('1')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/regexp-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/regexp-functions.sql.out
index 9154b14fbcbfb..62a0e5ff917cf 100644
--- a/sql/core/src/test/resources/sql-tests/results/regexp-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/regexp-functions.sql.out
@@ -406,7 +406,7 @@ SELECT regexp_replace('healthy, wealthy, and wise', '\\w+thy', 'something', -2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
@@ -431,7 +431,7 @@ SELECT regexp_replace('healthy, wealthy, and wise', '\\w+thy', 'something', 0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.VALUE_OUT_OF_RANGE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/show_columns.sql.out b/sql/core/src/test/resources/sql-tests/results/show_columns.sql.out
index aa64c529a7eb7..9a0d82d3617af 100644
--- a/sql/core/src/test/resources/sql-tests/results/show_columns.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/show_columns.sql.out
@@ -90,7 +90,7 @@ SHOW COLUMNS IN badtable FROM showdb
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -145,7 +145,7 @@ SHOW COLUMNS IN showdb.showcolumn3
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -167,7 +167,7 @@ SHOW COLUMNS IN showcolumn3 FROM showdb
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
@@ -189,7 +189,7 @@ SHOW COLUMNS IN showcolumn4
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "TABLE_OR_VIEW_NOT_FOUND",
   "sqlState" : "42P01",
diff --git a/sql/core/src/test/resources/sql-tests/results/string-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/string-functions.sql.out
index e3fb58e907a2a..5fd9cf2a0a67f 100644
--- a/sql/core/src/test/resources/sql-tests/results/string-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/string-functions.sql.out
@@ -1560,7 +1560,7 @@ select to_binary('abc', 1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1586,7 +1586,7 @@ select to_binary('abc', 'invalidFormat')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.INVALID_ARG_VALUE",
   "sqlState" : "42K09",
@@ -1620,7 +1620,7 @@ SELECT to_binary('abc', fmtField) FROM fmtTable
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
index 62f7874a44276..a78af33accd70 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/exists-subquery/exists-joins-and-set-ops.sql.out
@@ -373,7 +373,7 @@ WHERE  EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -403,7 +403,7 @@ WHERE NOT EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -433,7 +433,7 @@ WHERE  EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -463,7 +463,7 @@ WHERE EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -493,7 +493,7 @@ WHERE  EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -523,7 +523,7 @@ WHERE  EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -553,7 +553,7 @@ WHERE NOT EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -583,7 +583,7 @@ WHERE NOT EXISTS (SELECT *
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-basic.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-basic.sql.out
index 5c288cc394e41..3a07dbdbf00ee 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-basic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-basic.sql.out
@@ -37,7 +37,7 @@ select 1 from tab_a where (a1, b1) not in (select (a2, b2) from tab_b)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-set-operations.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-set-operations.sql.out
index 8ac2ffdf96e26..1d3cdf5171942 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-set-operations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-set-operations.sql.out
@@ -604,7 +604,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -633,7 +633,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -662,7 +662,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -691,7 +691,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -720,7 +720,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -749,7 +749,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -778,7 +778,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -807,7 +807,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -836,7 +836,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -865,7 +865,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -894,7 +894,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
@@ -923,7 +923,7 @@ WHERE  t1a NOT IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/invalid-correlation.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/invalid-correlation.sql.out
index d1eb86a2d3371..c1d18933f745d 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/invalid-correlation.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/invalid-correlation.sql.out
@@ -42,7 +42,7 @@ AND    t2b = (SELECT max(avg)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -69,7 +69,7 @@ WHERE  t1a IN (SELECT   min(t2a)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_MISSING_FROM_INPUT",
   "messageParameters" : {
@@ -154,7 +154,7 @@ WHERE  t1a IN (SELECT t2a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -189,7 +189,7 @@ ON     EXISTS (SELECT 1 FROM t2 WHERE t2a > t1a)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out
index e8f77ff99c583..52338368f25d2 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out
@@ -60,7 +60,7 @@ FROM t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_SUBQUERY_EXPRESSION.SCALAR_SUBQUERY_RETURN_MORE_THAN_ONE_OUTPUT_COLUMN",
   "sqlState" : "42823",
@@ -88,7 +88,7 @@ FROM t1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_SUBQUERY_EXPRESSION.SCALAR_SUBQUERY_RETURN_MORE_THAN_ONE_OUTPUT_COLUMN",
   "sqlState" : "42823",
@@ -114,7 +114,7 @@ t1a IN (SELECT t2a, t2b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
@@ -144,7 +144,7 @@ WHERE
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_LENGTH_MISMATCH",
   "sqlState" : "42K09",
@@ -175,7 +175,7 @@ WHERE
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.IN_SUBQUERY_DATA_TYPE_MISMATCH",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
index 02f3f9eae790a..ef5d941dc9791 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-predicate.sql.out
@@ -614,7 +614,7 @@ SELECT * FROM t0 WHERE t0a <
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
index d21873cd3c8ed..2799728d48a6a 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/scalar-subquery/scalar-subquery-set-op.sql.out
@@ -176,7 +176,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -346,7 +346,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -516,7 +516,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -686,7 +686,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -856,7 +856,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
@@ -1026,7 +1026,7 @@ FROM t0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.CORRELATED_REFERENCE",
   "sqlState" : "0A000",
diff --git a/sql/core/src/test/resources/sql-tests/results/table-aliases.sql.out b/sql/core/src/test/resources/sql-tests/results/table-aliases.sql.out
index 01318d93dd6a2..22de4faf1ce32 100644
--- a/sql/core/src/test/resources/sql-tests/results/table-aliases.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/table-aliases.sql.out
@@ -82,7 +82,7 @@ SELECT a AS col1, b AS col2 FROM testData AS t(c, d)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
index 1348110a83a37..1995e9e87b3a5 100644
--- a/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out
@@ -255,7 +255,7 @@ select * from explode(null)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -281,7 +281,7 @@ select * from explode(null) t(c1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -307,7 +307,7 @@ select * from explode(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -483,7 +483,7 @@ select * from inline(null)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -601,7 +601,7 @@ select * from posexplode(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -807,7 +807,7 @@ select * from json_tuple('{"a": 1}', 1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_STRING_TYPE",
   "sqlState" : "42K09",
@@ -830,7 +830,7 @@ select * from json_tuple('{"a": 1}', null)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.NON_STRING_TYPE",
   "sqlState" : "42K09",
@@ -973,7 +973,7 @@ select * from stack(2, 1, '1.1', 'a', 2, 2.2, 'b')
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.STACK_COLUMN_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/results/timestamp.sql.out
index 8a49774f74f4f..c28fda32c9ca4 100644
--- a/sql/core/src/test/resources/sql-tests/results/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/timestamp.sql.out
@@ -631,7 +631,7 @@ select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -657,7 +657,7 @@ select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -707,7 +707,7 @@ select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -733,7 +733,7 @@ select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -759,7 +759,7 @@ select timestamp'2011-11-11 11:11:11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -783,7 +783,7 @@ select '1' + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -807,7 +807,7 @@ select timestamp'2011-11-11 11:11:11' + null
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -831,7 +831,7 @@ select null + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
index 88ba5314b8ad5..06b6818e00ec9 100644
--- a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
@@ -778,7 +778,7 @@ select timestamp'2011-11-11 11:11:11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -802,7 +802,7 @@ select '1' + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -826,7 +826,7 @@ select timestamp'2011-11-11 11:11:11' + null
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -850,7 +850,7 @@ select null + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
index 545b49445e421..ff13693e65b7f 100644
--- a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
@@ -631,7 +631,7 @@ select timestamp'2011-11-11 11:11:11' - '2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -657,7 +657,7 @@ select '2011-11-11 11:11:11' - timestamp'2011-11-11 11:11:10'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -707,7 +707,7 @@ select str - timestamp'2011-11-11 11:11:11' from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -733,7 +733,7 @@ select timestamp'2011-11-11 11:11:11' - str from ts_view
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -759,7 +759,7 @@ select timestamp'2011-11-11 11:11:11' + '1'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -783,7 +783,7 @@ select '1' + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -807,7 +807,7 @@ select timestamp'2011-11-11 11:11:11' + null
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -831,7 +831,7 @@ select null + timestamp'2011-11-11 11:11:11'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
index 60d6750237a4a..c706a26078926 100644
--- a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
@@ -164,7 +164,7 @@ SELECT try_add(interval 2 year, interval 2 second)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/booleanEquality.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/booleanEquality.sql.out
index fe7dd473907c8..9b363b15c507f 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/booleanEquality.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/booleanEquality.sql.out
@@ -76,7 +76,7 @@ SELECT true = cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -108,7 +108,7 @@ SELECT true = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -132,7 +132,7 @@ SELECT true = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -220,7 +220,7 @@ SELECT true <=> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -252,7 +252,7 @@ SELECT true <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -276,7 +276,7 @@ SELECT true <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -364,7 +364,7 @@ SELECT cast('1' as binary) = true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -396,7 +396,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -420,7 +420,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -508,7 +508,7 @@ SELECT cast('1' as binary) <=> true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -540,7 +540,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -564,7 +564,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> true FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -652,7 +652,7 @@ SELECT false = cast('0' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -684,7 +684,7 @@ SELECT false = cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -708,7 +708,7 @@ SELECT false = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -796,7 +796,7 @@ SELECT false <=> cast('0' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -828,7 +828,7 @@ SELECT false <=> cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -852,7 +852,7 @@ SELECT false <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -940,7 +940,7 @@ SELECT cast('0' as binary) = false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -972,7 +972,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -996,7 +996,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1084,7 +1084,7 @@ SELECT cast('0' as binary) <=> false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1116,7 +1116,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1140,7 +1140,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> false FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/caseWhenCoercion.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/caseWhenCoercion.sql.out
index 3d5e9ca079071..7973d11573767 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/caseWhenCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/caseWhenCoercion.sql.out
@@ -76,7 +76,7 @@ SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2' as binary) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -100,7 +100,7 @@ SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ SELECT CASE WHEN true THEN cast(1 as tinyint) ELSE cast('2017-12-11 09:30:00' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -236,7 +236,7 @@ SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2' as binary) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -260,7 +260,7 @@ SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast(2 as boolean) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -284,7 +284,7 @@ SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ SELECT CASE WHEN true THEN cast(1 as smallint) ELSE cast('2017-12-11 09:30:00' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -396,7 +396,7 @@ SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2' as binary) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -420,7 +420,7 @@ SELECT CASE WHEN true THEN cast(1 as int) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -444,7 +444,7 @@ SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2017-12-11 09:30:00.0' as t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -468,7 +468,7 @@ SELECT CASE WHEN true THEN cast(1 as int) ELSE cast('2017-12-11 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -556,7 +556,7 @@ SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2' as binary) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -580,7 +580,7 @@ SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -604,7 +604,7 @@ SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2017-12-11 09:30:00.0' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -628,7 +628,7 @@ SELECT CASE WHEN true THEN cast(1 as bigint) ELSE cast('2017-12-11 09:30:00' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -716,7 +716,7 @@ SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2' as binary) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -740,7 +740,7 @@ SELECT CASE WHEN true THEN cast(1 as float) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -764,7 +764,7 @@ SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2017-12-11 09:30:00.0' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -788,7 +788,7 @@ SELECT CASE WHEN true THEN cast(1 as float) ELSE cast('2017-12-11 09:30:00' as d
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -876,7 +876,7 @@ SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2' as binary) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -900,7 +900,7 @@ SELECT CASE WHEN true THEN cast(1 as double) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -924,7 +924,7 @@ SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2017-12-11 09:30:00.0' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -948,7 +948,7 @@ SELECT CASE WHEN true THEN cast(1 as double) ELSE cast('2017-12-11 09:30:00' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1036,7 +1036,7 @@ SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2' as binary) EN
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1060,7 +1060,7 @@ SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast(2 as boolean) END
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1084,7 +1084,7 @@ SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2017-12-11 09:30
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1108,7 +1108,7 @@ SELECT CASE WHEN true THEN cast(1 as decimal(10, 0)) ELSE cast('2017-12-11 09:30
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1196,7 +1196,7 @@ SELECT CASE WHEN true THEN cast(1 as string) ELSE cast('2' as binary) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ SELECT CASE WHEN true THEN cast(1 as string) ELSE cast(2 as boolean) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1260,7 +1260,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as tinyint) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1284,7 +1284,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as smallint) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1308,7 +1308,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as int) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1332,7 +1332,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as bigint) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1356,7 +1356,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as float) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1380,7 +1380,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as double) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1404,7 +1404,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as decimal(10, 0)) EN
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1428,7 +1428,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as string) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1460,7 +1460,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast(2 as boolean) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1508,7 +1508,7 @@ SELECT CASE WHEN true THEN cast('1' as binary) ELSE cast('2017-12-11 09:30:00' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1532,7 +1532,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as tinyint) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1556,7 +1556,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as smallint) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1580,7 +1580,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as int) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1604,7 +1604,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as bigint) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1628,7 +1628,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as float) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1652,7 +1652,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as double) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1676,7 +1676,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as decimal(10, 0)) END
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1700,7 +1700,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast(2 as string) END FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1724,7 +1724,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2' as binary) END FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1756,7 +1756,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1780,7 +1780,7 @@ SELECT CASE WHEN true THEN cast(1 as boolean) ELSE cast('2017-12-11 09:30:00' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1804,7 +1804,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1828,7 +1828,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1852,7 +1852,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1876,7 +1876,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1900,7 +1900,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1948,7 +1948,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1980,7 +1980,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2004,7 +2004,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00.0' as timestamp) ELSE cast(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2044,7 +2044,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as ti
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2068,7 +2068,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as sm
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2092,7 +2092,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as in
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2116,7 +2116,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as bi
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2140,7 +2140,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as fl
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2164,7 +2164,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as do
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2188,7 +2188,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as de
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2220,7 +2220,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast('2' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2244,7 +2244,7 @@ SELECT CASE WHEN true THEN cast('2017-12-12 09:30:00' as date) ELSE cast(2 as bo
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/dateTimeOperations.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/dateTimeOperations.sql.out
index dae5de25caf62..72231bd169ed4 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/dateTimeOperations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/dateTimeOperations.sql.out
@@ -12,7 +12,7 @@ select cast(1 as tinyint) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -38,7 +38,7 @@ select cast(1 as smallint) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -64,7 +64,7 @@ select cast(1 as int) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -90,7 +90,7 @@ select cast(1 as bigint) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -116,7 +116,7 @@ select cast(1 as float) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ select cast(1 as double) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -168,7 +168,7 @@ select cast(1 as decimal(10, 0)) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -210,7 +210,7 @@ select cast('1' as binary) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -236,7 +236,7 @@ select cast(1 as boolean) + interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -278,7 +278,7 @@ select interval 2 day + cast(1 as tinyint)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -304,7 +304,7 @@ select interval 2 day + cast(1 as smallint)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -330,7 +330,7 @@ select interval 2 day + cast(1 as int)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -356,7 +356,7 @@ select interval 2 day + cast(1 as bigint)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -382,7 +382,7 @@ select interval 2 day + cast(1 as float)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -408,7 +408,7 @@ select interval 2 day + cast(1 as double)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -434,7 +434,7 @@ select interval 2 day + cast(1 as decimal(10, 0))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -476,7 +476,7 @@ select interval 2 day + cast('1' as binary)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -502,7 +502,7 @@ select interval 2 day + cast(1 as boolean)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -544,7 +544,7 @@ select cast(1 as tinyint) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -570,7 +570,7 @@ select cast(1 as smallint) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -596,7 +596,7 @@ select cast(1 as int) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -622,7 +622,7 @@ select cast(1 as bigint) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -648,7 +648,7 @@ select cast(1 as float) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -674,7 +674,7 @@ select cast(1 as double) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -700,7 +700,7 @@ select cast(1 as decimal(10, 0)) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -742,7 +742,7 @@ select cast('1' as binary) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -768,7 +768,7 @@ select cast(1 as boolean) - interval 2 day
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/decimalPrecision.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/decimalPrecision.sql.out
index f25a0b45a7be6..834bb6b296eb9 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/decimalPrecision.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/decimalPrecision.sql.out
@@ -236,7 +236,7 @@ SELECT cast('1' as binary) + cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -260,7 +260,7 @@ SELECT cast('1' as binary) + cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -284,7 +284,7 @@ SELECT cast('1' as binary) + cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ SELECT cast('1' as binary) + cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -332,7 +332,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -356,7 +356,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -380,7 +380,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -404,7 +404,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) + cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -428,7 +428,7 @@ SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -454,7 +454,7 @@ SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -480,7 +480,7 @@ SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -506,7 +506,7 @@ SELECT cast('2017-12-11 09:30:00' as date) + cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -788,7 +788,7 @@ SELECT cast(1 as decimal(3, 0))  + cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -812,7 +812,7 @@ SELECT cast(1 as decimal(5, 0))  + cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -836,7 +836,7 @@ SELECT cast(1 as decimal(10, 0)) + cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -860,7 +860,7 @@ SELECT cast(1 as decimal(20, 0)) + cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -884,7 +884,7 @@ SELECT cast(1 as decimal(3, 0))  + cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -908,7 +908,7 @@ SELECT cast(1 as decimal(5, 0))  + cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -932,7 +932,7 @@ SELECT cast(1 as decimal(10, 0)) + cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -956,7 +956,7 @@ SELECT cast(1 as decimal(20, 0)) + cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -980,7 +980,7 @@ SELECT cast(1 as decimal(3, 0))  + cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1004,7 +1004,7 @@ SELECT cast(1 as decimal(5, 0))  + cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1028,7 +1028,7 @@ SELECT cast(1 as decimal(10, 0)) + cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1052,7 +1052,7 @@ SELECT cast(1 as decimal(20, 0)) + cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1076,7 +1076,7 @@ SELECT cast(1 as decimal(3, 0))  + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1102,7 +1102,7 @@ SELECT cast(1 as decimal(5, 0))  + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1128,7 +1128,7 @@ SELECT cast(1 as decimal(10, 0)) + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1154,7 +1154,7 @@ SELECT cast(1 as decimal(20, 0)) + cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1404,7 +1404,7 @@ SELECT cast('1' as binary) - cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1428,7 +1428,7 @@ SELECT cast('1' as binary) - cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1452,7 +1452,7 @@ SELECT cast('1' as binary) - cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1476,7 +1476,7 @@ SELECT cast('1' as binary) - cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1500,7 +1500,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1526,7 +1526,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1552,7 +1552,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1578,7 +1578,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) - cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1604,7 +1604,7 @@ SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1630,7 +1630,7 @@ SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1656,7 +1656,7 @@ SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1682,7 +1682,7 @@ SELECT cast('2017-12-11 09:30:00' as date) - cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1964,7 +1964,7 @@ SELECT cast(1 as decimal(3, 0))  - cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1988,7 +1988,7 @@ SELECT cast(1 as decimal(5, 0))  - cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ SELECT cast(1 as decimal(10, 0)) - cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2036,7 +2036,7 @@ SELECT cast(1 as decimal(20, 0)) - cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2060,7 +2060,7 @@ SELECT cast(1 as decimal(3, 0))  - cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2084,7 +2084,7 @@ SELECT cast(1 as decimal(5, 0))  - cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2108,7 +2108,7 @@ SELECT cast(1 as decimal(10, 0)) - cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2132,7 +2132,7 @@ SELECT cast(1 as decimal(20, 0)) - cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2156,7 +2156,7 @@ SELECT cast(1 as decimal(3, 0))  - cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2182,7 +2182,7 @@ SELECT cast(1 as decimal(5, 0))  - cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2208,7 +2208,7 @@ SELECT cast(1 as decimal(10, 0)) - cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2234,7 +2234,7 @@ SELECT cast(1 as decimal(20, 0)) - cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2260,7 +2260,7 @@ SELECT cast(1 as decimal(3, 0))  - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2286,7 +2286,7 @@ SELECT cast(1 as decimal(5, 0))  - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2312,7 +2312,7 @@ SELECT cast(1 as decimal(10, 0)) - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2338,7 +2338,7 @@ SELECT cast(1 as decimal(20, 0)) - cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -2588,7 +2588,7 @@ SELECT cast('1' as binary) * cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2612,7 +2612,7 @@ SELECT cast('1' as binary) * cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2636,7 +2636,7 @@ SELECT cast('1' as binary) * cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2660,7 +2660,7 @@ SELECT cast('1' as binary) * cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2684,7 +2684,7 @@ SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2708,7 +2708,7 @@ SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2732,7 +2732,7 @@ SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2756,7 +2756,7 @@ SELECT cast('2017*12*11 09:30:00.0' as timestamp) * cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2780,7 +2780,7 @@ SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2804,7 +2804,7 @@ SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2828,7 +2828,7 @@ SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2852,7 +2852,7 @@ SELECT cast('2017*12*11 09:30:00' as date) * cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3132,7 +3132,7 @@ SELECT cast(1 as decimal(3, 0))  * cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3156,7 +3156,7 @@ SELECT cast(1 as decimal(5, 0))  * cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3180,7 +3180,7 @@ SELECT cast(1 as decimal(10, 0)) * cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3204,7 +3204,7 @@ SELECT cast(1 as decimal(20, 0)) * cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3228,7 +3228,7 @@ SELECT cast(1 as decimal(3, 0))  * cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3252,7 +3252,7 @@ SELECT cast(1 as decimal(5, 0))  * cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3276,7 +3276,7 @@ SELECT cast(1 as decimal(10, 0)) * cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3300,7 +3300,7 @@ SELECT cast(1 as decimal(20, 0)) * cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3324,7 +3324,7 @@ SELECT cast(1 as decimal(3, 0))  * cast('2017*12*11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3348,7 +3348,7 @@ SELECT cast(1 as decimal(5, 0))  * cast('2017*12*11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3372,7 +3372,7 @@ SELECT cast(1 as decimal(10, 0)) * cast('2017*12*11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3396,7 +3396,7 @@ SELECT cast(1 as decimal(20, 0)) * cast('2017*12*11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3420,7 +3420,7 @@ SELECT cast(1 as decimal(3, 0))  * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3444,7 +3444,7 @@ SELECT cast(1 as decimal(5, 0))  * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3468,7 +3468,7 @@ SELECT cast(1 as decimal(10, 0)) * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3492,7 +3492,7 @@ SELECT cast(1 as decimal(20, 0)) * cast('2017*12*11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3740,7 +3740,7 @@ SELECT cast('1' as binary) / cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3764,7 +3764,7 @@ SELECT cast('1' as binary) / cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3788,7 +3788,7 @@ SELECT cast('1' as binary) / cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3812,7 +3812,7 @@ SELECT cast('1' as binary) / cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3836,7 +3836,7 @@ SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3860,7 +3860,7 @@ SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3884,7 +3884,7 @@ SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3908,7 +3908,7 @@ SELECT cast('2017/12/11 09:30:00.0' as timestamp) / cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3932,7 +3932,7 @@ SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3956,7 +3956,7 @@ SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3980,7 +3980,7 @@ SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4004,7 +4004,7 @@ SELECT cast('2017/12/11 09:30:00' as date) / cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4284,7 +4284,7 @@ SELECT cast(1 as decimal(3, 0))  / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4308,7 +4308,7 @@ SELECT cast(1 as decimal(5, 0))  / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4332,7 +4332,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4356,7 +4356,7 @@ SELECT cast(1 as decimal(20, 0)) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4380,7 +4380,7 @@ SELECT cast(1 as decimal(3, 0))  / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4404,7 +4404,7 @@ SELECT cast(1 as decimal(5, 0))  / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4428,7 +4428,7 @@ SELECT cast(1 as decimal(10, 0)) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4452,7 +4452,7 @@ SELECT cast(1 as decimal(20, 0)) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4476,7 +4476,7 @@ SELECT cast(1 as decimal(3, 0))  / cast('2017/12/11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4500,7 +4500,7 @@ SELECT cast(1 as decimal(5, 0))  / cast('2017/12/11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4524,7 +4524,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('2017/12/11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4548,7 +4548,7 @@ SELECT cast(1 as decimal(20, 0)) / cast('2017/12/11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4572,7 +4572,7 @@ SELECT cast(1 as decimal(3, 0))  / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4596,7 +4596,7 @@ SELECT cast(1 as decimal(5, 0))  / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4620,7 +4620,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4644,7 +4644,7 @@ SELECT cast(1 as decimal(20, 0)) / cast('2017/12/11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4892,7 +4892,7 @@ SELECT cast('1' as binary) % cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4916,7 +4916,7 @@ SELECT cast('1' as binary) % cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4940,7 +4940,7 @@ SELECT cast('1' as binary) % cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4964,7 +4964,7 @@ SELECT cast('1' as binary) % cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4988,7 +4988,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5012,7 +5012,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5036,7 +5036,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5060,7 +5060,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) % cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5084,7 +5084,7 @@ SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5108,7 +5108,7 @@ SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5132,7 +5132,7 @@ SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5156,7 +5156,7 @@ SELECT cast('2017-12-11 09:30:00' as date) % cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5436,7 +5436,7 @@ SELECT cast(1 as decimal(3, 0))  % cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5460,7 +5460,7 @@ SELECT cast(1 as decimal(5, 0))  % cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5484,7 +5484,7 @@ SELECT cast(1 as decimal(10, 0)) % cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5508,7 +5508,7 @@ SELECT cast(1 as decimal(20, 0)) % cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5532,7 +5532,7 @@ SELECT cast(1 as decimal(3, 0))  % cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5556,7 +5556,7 @@ SELECT cast(1 as decimal(5, 0))  % cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5580,7 +5580,7 @@ SELECT cast(1 as decimal(10, 0)) % cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5604,7 +5604,7 @@ SELECT cast(1 as decimal(20, 0)) % cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5628,7 +5628,7 @@ SELECT cast(1 as decimal(3, 0))  % cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5652,7 +5652,7 @@ SELECT cast(1 as decimal(5, 0))  % cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5676,7 +5676,7 @@ SELECT cast(1 as decimal(10, 0)) % cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5700,7 +5700,7 @@ SELECT cast(1 as decimal(20, 0)) % cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5724,7 +5724,7 @@ SELECT cast(1 as decimal(3, 0))  % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5748,7 +5748,7 @@ SELECT cast(1 as decimal(5, 0))  % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5772,7 +5772,7 @@ SELECT cast(1 as decimal(10, 0)) % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -5796,7 +5796,7 @@ SELECT cast(1 as decimal(20, 0)) % cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6044,7 +6044,7 @@ SELECT pmod(cast('1' as binary), cast(1 as decimal(3, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6068,7 +6068,7 @@ SELECT pmod(cast('1' as binary), cast(1 as decimal(5, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6092,7 +6092,7 @@ SELECT pmod(cast('1' as binary), cast(1 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6116,7 +6116,7 @@ SELECT pmod(cast('1' as binary), cast(1 as decimal(20, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6140,7 +6140,7 @@ SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(3, 0))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6164,7 +6164,7 @@ SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(5, 0))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6188,7 +6188,7 @@ SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(10, 0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6212,7 +6212,7 @@ SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), cast(1 as decimal(20, 0)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6236,7 +6236,7 @@ SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(3, 0))) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6260,7 +6260,7 @@ SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(5, 0))) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6284,7 +6284,7 @@ SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(10, 0))) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6308,7 +6308,7 @@ SELECT pmod(cast('2017-12-11 09:30:00' as date), cast(1 as decimal(20, 0))) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6588,7 +6588,7 @@ SELECT pmod(cast(1 as decimal(3, 0)) , cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6612,7 +6612,7 @@ SELECT pmod(cast(1 as decimal(5, 0)) , cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6636,7 +6636,7 @@ SELECT pmod(cast(1 as decimal(10, 0)), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6660,7 +6660,7 @@ SELECT pmod(cast(1 as decimal(20, 0)), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6684,7 +6684,7 @@ SELECT pmod(cast(1 as decimal(3, 0)) , cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6708,7 +6708,7 @@ SELECT pmod(cast(1 as decimal(5, 0)) , cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6732,7 +6732,7 @@ SELECT pmod(cast(1 as decimal(10, 0)), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6756,7 +6756,7 @@ SELECT pmod(cast(1 as decimal(20, 0)), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6780,7 +6780,7 @@ SELECT pmod(cast(1 as decimal(3, 0)) , cast('2017-12-11 09:30:00.0' as timestamp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6804,7 +6804,7 @@ SELECT pmod(cast(1 as decimal(5, 0)) , cast('2017-12-11 09:30:00.0' as timestamp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6828,7 +6828,7 @@ SELECT pmod(cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00.0' as timestamp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6852,7 +6852,7 @@ SELECT pmod(cast(1 as decimal(20, 0)), cast('2017-12-11 09:30:00.0' as timestamp
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6876,7 +6876,7 @@ SELECT pmod(cast(1 as decimal(3, 0)) , cast('2017-12-11 09:30:00' as date)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6900,7 +6900,7 @@ SELECT pmod(cast(1 as decimal(5, 0)) , cast('2017-12-11 09:30:00' as date)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6924,7 +6924,7 @@ SELECT pmod(cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00' as date)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -6948,7 +6948,7 @@ SELECT pmod(cast(1 as decimal(20, 0)), cast('2017-12-11 09:30:00' as date)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7196,7 +7196,7 @@ SELECT cast('1' as binary) = cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7220,7 +7220,7 @@ SELECT cast('1' as binary) = cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7244,7 +7244,7 @@ SELECT cast('1' as binary) = cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7268,7 +7268,7 @@ SELECT cast('1' as binary) = cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7292,7 +7292,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7316,7 +7316,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7340,7 +7340,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7364,7 +7364,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) = cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7388,7 +7388,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7412,7 +7412,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7436,7 +7436,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7460,7 +7460,7 @@ SELECT cast('2017-12-11 09:30:00' as date) = cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7740,7 +7740,7 @@ SELECT cast(1 as decimal(3, 0))  = cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7764,7 +7764,7 @@ SELECT cast(1 as decimal(5, 0))  = cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7788,7 +7788,7 @@ SELECT cast(1 as decimal(10, 0)) = cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7812,7 +7812,7 @@ SELECT cast(1 as decimal(20, 0)) = cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7868,7 +7868,7 @@ SELECT cast(1 as decimal(3, 0))  = cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7892,7 +7892,7 @@ SELECT cast(1 as decimal(5, 0))  = cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7916,7 +7916,7 @@ SELECT cast(1 as decimal(10, 0)) = cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7940,7 +7940,7 @@ SELECT cast(1 as decimal(20, 0)) = cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7964,7 +7964,7 @@ SELECT cast(1 as decimal(3, 0))  = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -7988,7 +7988,7 @@ SELECT cast(1 as decimal(5, 0))  = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8012,7 +8012,7 @@ SELECT cast(1 as decimal(10, 0)) = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8036,7 +8036,7 @@ SELECT cast(1 as decimal(20, 0)) = cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8284,7 +8284,7 @@ SELECT cast('1' as binary) <=> cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8308,7 +8308,7 @@ SELECT cast('1' as binary) <=> cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8332,7 +8332,7 @@ SELECT cast('1' as binary) <=> cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8356,7 +8356,7 @@ SELECT cast('1' as binary) <=> cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8380,7 +8380,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(3, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8404,7 +8404,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(5, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8428,7 +8428,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(10, 0))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8452,7 +8452,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <=> cast(1 as decimal(20, 0))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8476,7 +8476,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8500,7 +8500,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8524,7 +8524,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8548,7 +8548,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <=> cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8828,7 +8828,7 @@ SELECT cast(1 as decimal(3, 0))  <=> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8852,7 +8852,7 @@ SELECT cast(1 as decimal(5, 0))  <=> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8876,7 +8876,7 @@ SELECT cast(1 as decimal(10, 0)) <=> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8900,7 +8900,7 @@ SELECT cast(1 as decimal(20, 0)) <=> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8956,7 +8956,7 @@ SELECT cast(1 as decimal(3, 0))  <=> cast('2017-12-11 09:30:00.0' as timestamp)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -8980,7 +8980,7 @@ SELECT cast(1 as decimal(5, 0))  <=> cast('2017-12-11 09:30:00.0' as timestamp)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9004,7 +9004,7 @@ SELECT cast(1 as decimal(10, 0)) <=> cast('2017-12-11 09:30:00.0' as timestamp)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9028,7 +9028,7 @@ SELECT cast(1 as decimal(20, 0)) <=> cast('2017-12-11 09:30:00.0' as timestamp)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9052,7 +9052,7 @@ SELECT cast(1 as decimal(3, 0))  <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9076,7 +9076,7 @@ SELECT cast(1 as decimal(5, 0))  <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9100,7 +9100,7 @@ SELECT cast(1 as decimal(10, 0)) <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9124,7 +9124,7 @@ SELECT cast(1 as decimal(20, 0)) <=> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9372,7 +9372,7 @@ SELECT cast('1' as binary) < cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9396,7 +9396,7 @@ SELECT cast('1' as binary) < cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9420,7 +9420,7 @@ SELECT cast('1' as binary) < cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9444,7 +9444,7 @@ SELECT cast('1' as binary) < cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9468,7 +9468,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9492,7 +9492,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9516,7 +9516,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9540,7 +9540,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) < cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9564,7 +9564,7 @@ SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9588,7 +9588,7 @@ SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9612,7 +9612,7 @@ SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9636,7 +9636,7 @@ SELECT cast('2017-12-11 09:30:00' as date) < cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9916,7 +9916,7 @@ SELECT cast(1 as decimal(3, 0))  < cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9940,7 +9940,7 @@ SELECT cast(1 as decimal(5, 0))  < cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9964,7 +9964,7 @@ SELECT cast(1 as decimal(10, 0)) < cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -9988,7 +9988,7 @@ SELECT cast(1 as decimal(20, 0)) < cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10012,7 +10012,7 @@ SELECT cast(1 as decimal(3, 0))  < cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10036,7 +10036,7 @@ SELECT cast(1 as decimal(5, 0))  < cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10060,7 +10060,7 @@ SELECT cast(1 as decimal(10, 0)) < cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10084,7 +10084,7 @@ SELECT cast(1 as decimal(20, 0)) < cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10108,7 +10108,7 @@ SELECT cast(1 as decimal(3, 0))  < cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10132,7 +10132,7 @@ SELECT cast(1 as decimal(5, 0))  < cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10156,7 +10156,7 @@ SELECT cast(1 as decimal(10, 0)) < cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10180,7 +10180,7 @@ SELECT cast(1 as decimal(20, 0)) < cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10204,7 +10204,7 @@ SELECT cast(1 as decimal(3, 0))  < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10228,7 +10228,7 @@ SELECT cast(1 as decimal(5, 0))  < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10252,7 +10252,7 @@ SELECT cast(1 as decimal(10, 0)) < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10276,7 +10276,7 @@ SELECT cast(1 as decimal(20, 0)) < cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10524,7 +10524,7 @@ SELECT cast('1' as binary) <= cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10548,7 +10548,7 @@ SELECT cast('1' as binary) <= cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10572,7 +10572,7 @@ SELECT cast('1' as binary) <= cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10596,7 +10596,7 @@ SELECT cast('1' as binary) <= cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10620,7 +10620,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(3, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10644,7 +10644,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(5, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10668,7 +10668,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(10, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10692,7 +10692,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <= cast(1 as decimal(20, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10716,7 +10716,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10740,7 +10740,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10764,7 +10764,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -10788,7 +10788,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <= cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11068,7 +11068,7 @@ SELECT cast(1 as decimal(3, 0))  <= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11092,7 +11092,7 @@ SELECT cast(1 as decimal(5, 0))  <= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11116,7 +11116,7 @@ SELECT cast(1 as decimal(10, 0)) <= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11140,7 +11140,7 @@ SELECT cast(1 as decimal(20, 0)) <= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11164,7 +11164,7 @@ SELECT cast(1 as decimal(3, 0))  <= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11188,7 +11188,7 @@ SELECT cast(1 as decimal(5, 0))  <= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11212,7 +11212,7 @@ SELECT cast(1 as decimal(10, 0)) <= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11236,7 +11236,7 @@ SELECT cast(1 as decimal(20, 0)) <= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11260,7 +11260,7 @@ SELECT cast(1 as decimal(3, 0))  <= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11284,7 +11284,7 @@ SELECT cast(1 as decimal(5, 0))  <= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11308,7 +11308,7 @@ SELECT cast(1 as decimal(10, 0)) <= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11332,7 +11332,7 @@ SELECT cast(1 as decimal(20, 0)) <= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11356,7 +11356,7 @@ SELECT cast(1 as decimal(3, 0))  <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11380,7 +11380,7 @@ SELECT cast(1 as decimal(5, 0))  <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11404,7 +11404,7 @@ SELECT cast(1 as decimal(10, 0)) <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11428,7 +11428,7 @@ SELECT cast(1 as decimal(20, 0)) <= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11676,7 +11676,7 @@ SELECT cast('1' as binary) > cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11700,7 +11700,7 @@ SELECT cast('1' as binary) > cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11724,7 +11724,7 @@ SELECT cast('1' as binary) > cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11748,7 +11748,7 @@ SELECT cast('1' as binary) > cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11772,7 +11772,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(3, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11796,7 +11796,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(5, 0)) FRO
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11820,7 +11820,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11844,7 +11844,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) > cast(1 as decimal(20, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11868,7 +11868,7 @@ SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11892,7 +11892,7 @@ SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11916,7 +11916,7 @@ SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -11940,7 +11940,7 @@ SELECT cast('2017-12-11 09:30:00' as date) > cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12220,7 +12220,7 @@ SELECT cast(1 as decimal(3, 0))  > cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12244,7 +12244,7 @@ SELECT cast(1 as decimal(5, 0))  > cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12268,7 +12268,7 @@ SELECT cast(1 as decimal(10, 0)) > cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12292,7 +12292,7 @@ SELECT cast(1 as decimal(20, 0)) > cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12316,7 +12316,7 @@ SELECT cast(1 as decimal(3, 0))  > cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12340,7 +12340,7 @@ SELECT cast(1 as decimal(5, 0))  > cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12364,7 +12364,7 @@ SELECT cast(1 as decimal(10, 0)) > cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12388,7 +12388,7 @@ SELECT cast(1 as decimal(20, 0)) > cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12412,7 +12412,7 @@ SELECT cast(1 as decimal(3, 0))  > cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12436,7 +12436,7 @@ SELECT cast(1 as decimal(5, 0))  > cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12460,7 +12460,7 @@ SELECT cast(1 as decimal(10, 0)) > cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12484,7 +12484,7 @@ SELECT cast(1 as decimal(20, 0)) > cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12508,7 +12508,7 @@ SELECT cast(1 as decimal(3, 0))  > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12532,7 +12532,7 @@ SELECT cast(1 as decimal(5, 0))  > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12556,7 +12556,7 @@ SELECT cast(1 as decimal(10, 0)) > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12580,7 +12580,7 @@ SELECT cast(1 as decimal(20, 0)) > cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12828,7 +12828,7 @@ SELECT cast('1' as binary) >= cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12852,7 +12852,7 @@ SELECT cast('1' as binary) >= cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12876,7 +12876,7 @@ SELECT cast('1' as binary) >= cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12900,7 +12900,7 @@ SELECT cast('1' as binary) >= cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12924,7 +12924,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(3, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12948,7 +12948,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(5, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12972,7 +12972,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(10, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -12996,7 +12996,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) >= cast(1 as decimal(20, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13020,7 +13020,7 @@ SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13044,7 +13044,7 @@ SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13068,7 +13068,7 @@ SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13092,7 +13092,7 @@ SELECT cast('2017-12-11 09:30:00' as date) >= cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13372,7 +13372,7 @@ SELECT cast(1 as decimal(3, 0))  >= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13396,7 +13396,7 @@ SELECT cast(1 as decimal(5, 0))  >= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13420,7 +13420,7 @@ SELECT cast(1 as decimal(10, 0)) >= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13444,7 +13444,7 @@ SELECT cast(1 as decimal(20, 0)) >= cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13468,7 +13468,7 @@ SELECT cast(1 as decimal(3, 0))  >= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13492,7 +13492,7 @@ SELECT cast(1 as decimal(5, 0))  >= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13516,7 +13516,7 @@ SELECT cast(1 as decimal(10, 0)) >= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13540,7 +13540,7 @@ SELECT cast(1 as decimal(20, 0)) >= cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13564,7 +13564,7 @@ SELECT cast(1 as decimal(3, 0))  >= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13588,7 +13588,7 @@ SELECT cast(1 as decimal(5, 0))  >= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13612,7 +13612,7 @@ SELECT cast(1 as decimal(10, 0)) >= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13636,7 +13636,7 @@ SELECT cast(1 as decimal(20, 0)) >= cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13660,7 +13660,7 @@ SELECT cast(1 as decimal(3, 0))  >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13684,7 +13684,7 @@ SELECT cast(1 as decimal(5, 0))  >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13708,7 +13708,7 @@ SELECT cast(1 as decimal(10, 0)) >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13732,7 +13732,7 @@ SELECT cast(1 as decimal(20, 0)) >= cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -13980,7 +13980,7 @@ SELECT cast('1' as binary) <> cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14004,7 +14004,7 @@ SELECT cast('1' as binary) <> cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14028,7 +14028,7 @@ SELECT cast('1' as binary) <> cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14052,7 +14052,7 @@ SELECT cast('1' as binary) <> cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14076,7 +14076,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(3, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14100,7 +14100,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(5, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14124,7 +14124,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(10, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14148,7 +14148,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) <> cast(1 as decimal(20, 0)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14172,7 +14172,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(3, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14196,7 +14196,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(5, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14220,7 +14220,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14244,7 +14244,7 @@ SELECT cast('2017-12-11 09:30:00' as date) <> cast(1 as decimal(20, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14524,7 +14524,7 @@ SELECT cast(1 as decimal(3, 0))  <> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14548,7 +14548,7 @@ SELECT cast(1 as decimal(5, 0))  <> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14572,7 +14572,7 @@ SELECT cast(1 as decimal(10, 0)) <> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14596,7 +14596,7 @@ SELECT cast(1 as decimal(20, 0)) <> cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14652,7 +14652,7 @@ SELECT cast(1 as decimal(3, 0))  <> cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14676,7 +14676,7 @@ SELECT cast(1 as decimal(5, 0))  <> cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14700,7 +14700,7 @@ SELECT cast(1 as decimal(10, 0)) <> cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14724,7 +14724,7 @@ SELECT cast(1 as decimal(20, 0)) <> cast('2017-12-11 09:30:00.0' as timestamp) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14748,7 +14748,7 @@ SELECT cast(1 as decimal(3, 0))  <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14772,7 +14772,7 @@ SELECT cast(1 as decimal(5, 0))  <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14796,7 +14796,7 @@ SELECT cast(1 as decimal(10, 0)) <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -14820,7 +14820,7 @@ SELECT cast(1 as decimal(20, 0)) <> cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/division.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/division.sql.out
index 00a738a9a9a00..5f16135fcaf4f 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/division.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/division.sql.out
@@ -76,7 +76,7 @@ SELECT cast(1 as tinyint) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -100,7 +100,7 @@ SELECT cast(1 as tinyint) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ SELECT cast(1 as tinyint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ SELECT cast(1 as tinyint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -236,7 +236,7 @@ SELECT cast(1 as smallint) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -260,7 +260,7 @@ SELECT cast(1 as smallint) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -284,7 +284,7 @@ SELECT cast(1 as smallint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ SELECT cast(1 as smallint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -396,7 +396,7 @@ SELECT cast(1 as int) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -420,7 +420,7 @@ SELECT cast(1 as int) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -444,7 +444,7 @@ SELECT cast(1 as int) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -468,7 +468,7 @@ SELECT cast(1 as int) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -556,7 +556,7 @@ SELECT cast(1 as bigint) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -580,7 +580,7 @@ SELECT cast(1 as bigint) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -604,7 +604,7 @@ SELECT cast(1 as bigint) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -628,7 +628,7 @@ SELECT cast(1 as bigint) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -716,7 +716,7 @@ SELECT cast(1 as float) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -740,7 +740,7 @@ SELECT cast(1 as float) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -764,7 +764,7 @@ SELECT cast(1 as float) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -788,7 +788,7 @@ SELECT cast(1 as float) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -876,7 +876,7 @@ SELECT cast(1 as double) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -900,7 +900,7 @@ SELECT cast(1 as double) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -924,7 +924,7 @@ SELECT cast(1 as double) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -948,7 +948,7 @@ SELECT cast(1 as double) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1036,7 +1036,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1060,7 +1060,7 @@ SELECT cast(1 as decimal(10, 0)) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1084,7 +1084,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('2017-12-11 09:30:00.0' as timestamp) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1108,7 +1108,7 @@ SELECT cast(1 as decimal(10, 0)) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1196,7 +1196,7 @@ SELECT cast(1 as string) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ SELECT cast(1 as string) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1244,7 +1244,7 @@ SELECT cast(1 as string) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1268,7 +1268,7 @@ SELECT cast(1 as string) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1292,7 +1292,7 @@ SELECT cast('1' as binary) / cast(1 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1316,7 +1316,7 @@ SELECT cast('1' as binary) / cast(1 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1340,7 +1340,7 @@ SELECT cast('1' as binary) / cast(1 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1364,7 +1364,7 @@ SELECT cast('1' as binary) / cast(1 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1388,7 +1388,7 @@ SELECT cast('1' as binary) / cast(1 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1412,7 +1412,7 @@ SELECT cast('1' as binary) / cast(1 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1436,7 +1436,7 @@ SELECT cast('1' as binary) / cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1460,7 +1460,7 @@ SELECT cast('1' as binary) / cast(1 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ SELECT cast('1' as binary) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -1508,7 +1508,7 @@ SELECT cast('1' as binary) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1532,7 +1532,7 @@ SELECT cast('1' as binary) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1556,7 +1556,7 @@ SELECT cast('1' as binary) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1580,7 +1580,7 @@ SELECT cast(1 as boolean) / cast(1 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1604,7 +1604,7 @@ SELECT cast(1 as boolean) / cast(1 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1628,7 +1628,7 @@ SELECT cast(1 as boolean) / cast(1 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1652,7 +1652,7 @@ SELECT cast(1 as boolean) / cast(1 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1676,7 +1676,7 @@ SELECT cast(1 as boolean) / cast(1 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1700,7 +1700,7 @@ SELECT cast(1 as boolean) / cast(1 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1724,7 +1724,7 @@ SELECT cast(1 as boolean) / cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1748,7 +1748,7 @@ SELECT cast(1 as boolean) / cast(1 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1772,7 +1772,7 @@ SELECT cast(1 as boolean) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1796,7 +1796,7 @@ SELECT cast(1 as boolean) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -1820,7 +1820,7 @@ SELECT cast(1 as boolean) / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1844,7 +1844,7 @@ SELECT cast(1 as boolean) / cast('2017-12-11 09:30:00' as date) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1868,7 +1868,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1892,7 +1892,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1916,7 +1916,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1940,7 +1940,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1964,7 +1964,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1988,7 +1988,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2012,7 +2012,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as decimal(10, 0)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2036,7 +2036,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2060,7 +2060,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2084,7 +2084,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2108,7 +2108,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
@@ -2132,7 +2132,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / cast('2017-12-11 09:30:00' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2156,7 +2156,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2180,7 +2180,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2204,7 +2204,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2228,7 +2228,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2252,7 +2252,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2276,7 +2276,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2300,7 +2300,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2324,7 +2324,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2348,7 +2348,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast('1' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2372,7 +2372,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast(1 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2396,7 +2396,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast('2017-12-11 09:30:00.0' as tim
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2420,7 +2420,7 @@ SELECT cast('2017-12-11 09:30:00' as date) / cast('2017-12-11 09:30:00' as date)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_WRONG_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/ifCoercion.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/ifCoercion.sql.out
index c40b49a16f559..c0c3cefab8413 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/ifCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/ifCoercion.sql.out
@@ -76,7 +76,7 @@ SELECT IF(true, cast(1 as tinyint), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -100,7 +100,7 @@ SELECT IF(true, cast(1 as tinyint), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ SELECT IF(true, cast(1 as tinyint), cast('2017-12-11 09:30:00.0' as timestamp))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ SELECT IF(true, cast(1 as tinyint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -236,7 +236,7 @@ SELECT IF(true, cast(1 as smallint), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -260,7 +260,7 @@ SELECT IF(true, cast(1 as smallint), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -284,7 +284,7 @@ SELECT IF(true, cast(1 as smallint), cast('2017-12-11 09:30:00.0' as timestamp))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ SELECT IF(true, cast(1 as smallint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -396,7 +396,7 @@ SELECT IF(true, cast(1 as int), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -420,7 +420,7 @@ SELECT IF(true, cast(1 as int), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -444,7 +444,7 @@ SELECT IF(true, cast(1 as int), cast('2017-12-11 09:30:00.0' as timestamp)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -468,7 +468,7 @@ SELECT IF(true, cast(1 as int), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -556,7 +556,7 @@ SELECT IF(true, cast(1 as bigint), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -580,7 +580,7 @@ SELECT IF(true, cast(1 as bigint), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -604,7 +604,7 @@ SELECT IF(true, cast(1 as bigint), cast('2017-12-11 09:30:00.0' as timestamp)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -628,7 +628,7 @@ SELECT IF(true, cast(1 as bigint), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -716,7 +716,7 @@ SELECT IF(true, cast(1 as float), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -740,7 +740,7 @@ SELECT IF(true, cast(1 as float), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -764,7 +764,7 @@ SELECT IF(true, cast(1 as float), cast('2017-12-11 09:30:00.0' as timestamp)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -788,7 +788,7 @@ SELECT IF(true, cast(1 as float), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -876,7 +876,7 @@ SELECT IF(true, cast(1 as double), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -900,7 +900,7 @@ SELECT IF(true, cast(1 as double), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -924,7 +924,7 @@ SELECT IF(true, cast(1 as double), cast('2017-12-11 09:30:00.0' as timestamp)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -948,7 +948,7 @@ SELECT IF(true, cast(1 as double), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1036,7 +1036,7 @@ SELECT IF(true, cast(1 as decimal(10, 0)), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1060,7 +1060,7 @@ SELECT IF(true, cast(1 as decimal(10, 0)), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1084,7 +1084,7 @@ SELECT IF(true, cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00.0' as times
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1108,7 +1108,7 @@ SELECT IF(true, cast(1 as decimal(10, 0)), cast('2017-12-11 09:30:00' as date))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1196,7 +1196,7 @@ SELECT IF(true, cast(1 as string), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ SELECT IF(true, cast(1 as string), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1260,7 +1260,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1284,7 +1284,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1308,7 +1308,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1332,7 +1332,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1356,7 +1356,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1380,7 +1380,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1404,7 +1404,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1428,7 +1428,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1460,7 +1460,7 @@ SELECT IF(true, cast('1' as binary), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ SELECT IF(true, cast('1' as binary), cast('2017-12-11 09:30:00.0' as timestamp))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1508,7 +1508,7 @@ SELECT IF(true, cast('1' as binary), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1532,7 +1532,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1556,7 +1556,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1580,7 +1580,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1604,7 +1604,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1628,7 +1628,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1652,7 +1652,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1676,7 +1676,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1700,7 +1700,7 @@ SELECT IF(true, cast(1 as boolean), cast(2 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1724,7 +1724,7 @@ SELECT IF(true, cast(1 as boolean), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1756,7 +1756,7 @@ SELECT IF(true, cast(1 as boolean), cast('2017-12-11 09:30:00.0' as timestamp))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1780,7 +1780,7 @@ SELECT IF(true, cast(1 as boolean), cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1804,7 +1804,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as tinyint))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1828,7 +1828,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as smallint))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1852,7 +1852,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as int)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1876,7 +1876,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as bigint)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1900,7 +1900,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as float)) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as double)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1948,7 +1948,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as decimal(10
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1980,7 +1980,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast('2' as binary))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2004,7 +2004,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00.0' as timestamp), cast(2 as boolean))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2044,7 +2044,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2068,7 +2068,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2092,7 +2092,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2116,7 +2116,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2140,7 +2140,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2164,7 +2164,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2188,7 +2188,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as decimal(10, 0)))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2220,7 +2220,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2244,7 +2244,7 @@ SELECT IF(true, cast('2017-12-12 09:30:00' as date), cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/inConversion.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/inConversion.sql.out
index 65738778f2bed..3ca78fa17a64b 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/inConversion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/inConversion.sql.out
@@ -76,7 +76,7 @@ SELECT cast(1 as tinyint) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -100,7 +100,7 @@ SELECT cast(1 as tinyint) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ SELECT cast(1 as tinyint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ SELECT cast(1 as tinyint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -236,7 +236,7 @@ SELECT cast(1 as smallint) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -260,7 +260,7 @@ SELECT cast(1 as smallint) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -284,7 +284,7 @@ SELECT cast(1 as smallint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -308,7 +308,7 @@ SELECT cast(1 as smallint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -396,7 +396,7 @@ SELECT cast(1 as int) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -420,7 +420,7 @@ SELECT cast(1 as int) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -444,7 +444,7 @@ SELECT cast(1 as int) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -468,7 +468,7 @@ SELECT cast(1 as int) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -556,7 +556,7 @@ SELECT cast(1 as bigint) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -580,7 +580,7 @@ SELECT cast(1 as bigint) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -604,7 +604,7 @@ SELECT cast(1 as bigint) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -628,7 +628,7 @@ SELECT cast(1 as bigint) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -716,7 +716,7 @@ SELECT cast(1 as float) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -740,7 +740,7 @@ SELECT cast(1 as float) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -764,7 +764,7 @@ SELECT cast(1 as float) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -788,7 +788,7 @@ SELECT cast(1 as float) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -876,7 +876,7 @@ SELECT cast(1 as double) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -900,7 +900,7 @@ SELECT cast(1 as double) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -924,7 +924,7 @@ SELECT cast(1 as double) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -948,7 +948,7 @@ SELECT cast(1 as double) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1036,7 +1036,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1060,7 +1060,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1084,7 +1084,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast('2017-12-11 09:30:00.0' as timestamp))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1108,7 +1108,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1196,7 +1196,7 @@ SELECT cast(1 as string) in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1220,7 +1220,7 @@ SELECT cast(1 as string) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1260,7 +1260,7 @@ SELECT cast('1' as binary) in (cast(1 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1284,7 +1284,7 @@ SELECT cast('1' as binary) in (cast(1 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1308,7 +1308,7 @@ SELECT cast('1' as binary) in (cast(1 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1332,7 +1332,7 @@ SELECT cast('1' as binary) in (cast(1 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1356,7 +1356,7 @@ SELECT cast('1' as binary) in (cast(1 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1380,7 +1380,7 @@ SELECT cast('1' as binary) in (cast(1 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1404,7 +1404,7 @@ SELECT cast('1' as binary) in (cast(1 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1428,7 +1428,7 @@ SELECT cast('1' as binary) in (cast(1 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1460,7 +1460,7 @@ SELECT cast('1' as binary) in (cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1484,7 +1484,7 @@ SELECT cast('1' as binary) in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1508,7 +1508,7 @@ SELECT cast('1' as binary) in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1532,7 +1532,7 @@ SELECT true in (cast(1 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1556,7 +1556,7 @@ SELECT true in (cast(1 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1580,7 +1580,7 @@ SELECT true in (cast(1 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1604,7 +1604,7 @@ SELECT true in (cast(1 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1628,7 +1628,7 @@ SELECT true in (cast(1 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1652,7 +1652,7 @@ SELECT true in (cast(1 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1676,7 +1676,7 @@ SELECT true in (cast(1 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1700,7 +1700,7 @@ SELECT true in (cast(1 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1724,7 +1724,7 @@ SELECT true in (cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1756,7 +1756,7 @@ SELECT true in (cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1780,7 +1780,7 @@ SELECT true in (cast('2017-12-11 09:30:00' as date)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1804,7 +1804,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1828,7 +1828,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as smallint)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1852,7 +1852,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1876,7 +1876,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1900,7 +1900,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1924,7 +1924,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1948,7 +1948,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as decimal(10, 0)))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1980,7 +1980,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2' as binary)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2004,7 +2004,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2044,7 +2044,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2068,7 +2068,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2092,7 +2092,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2116,7 +2116,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2140,7 +2140,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2164,7 +2164,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2188,7 +2188,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as decimal(10, 0))) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2220,7 +2220,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2244,7 +2244,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast(2 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2348,7 +2348,7 @@ SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2372,7 +2372,7 @@ SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2396,7 +2396,7 @@ SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('2017-12-11 09:30:00.0' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2420,7 +2420,7 @@ SELECT cast(1 as tinyint) in (cast(1 as tinyint), cast('2017-12-11 09:30:00' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2508,7 +2508,7 @@ SELECT cast(1 as smallint) in (cast(1 as smallint), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2532,7 +2532,7 @@ SELECT cast(1 as smallint) in (cast(1 as smallint), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2556,7 +2556,7 @@ SELECT cast(1 as smallint) in (cast(1 as smallint), cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2580,7 +2580,7 @@ SELECT cast(1 as smallint) in (cast(1 as smallint), cast('2017-12-11 09:30:00' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2668,7 +2668,7 @@ SELECT cast(1 as int) in (cast(1 as int), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2692,7 +2692,7 @@ SELECT cast(1 as int) in (cast(1 as int), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2716,7 +2716,7 @@ SELECT cast(1 as int) in (cast(1 as int), cast('2017-12-11 09:30:00.0' as timest
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2740,7 +2740,7 @@ SELECT cast(1 as int) in (cast(1 as int), cast('2017-12-11 09:30:00' as date)) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2828,7 +2828,7 @@ SELECT cast(1 as bigint) in (cast(1 as bigint), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2852,7 +2852,7 @@ SELECT cast(1 as bigint) in (cast(1 as bigint), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2876,7 +2876,7 @@ SELECT cast(1 as bigint) in (cast(1 as bigint), cast('2017-12-11 09:30:00.0' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2900,7 +2900,7 @@ SELECT cast(1 as bigint) in (cast(1 as bigint), cast('2017-12-11 09:30:00' as da
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -2988,7 +2988,7 @@ SELECT cast(1 as float) in (cast(1 as float), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3012,7 +3012,7 @@ SELECT cast(1 as float) in (cast(1 as float), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3036,7 +3036,7 @@ SELECT cast(1 as float) in (cast(1 as float), cast('2017-12-11 09:30:00.0' as ti
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3060,7 +3060,7 @@ SELECT cast(1 as float) in (cast(1 as float), cast('2017-12-11 09:30:00' as date
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3148,7 +3148,7 @@ SELECT cast(1 as double) in (cast(1 as double), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3172,7 +3172,7 @@ SELECT cast(1 as double) in (cast(1 as double), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3196,7 +3196,7 @@ SELECT cast(1 as double) in (cast(1 as double), cast('2017-12-11 09:30:00.0' as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3220,7 +3220,7 @@ SELECT cast(1 as double) in (cast(1 as double), cast('2017-12-11 09:30:00' as da
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3308,7 +3308,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('1' as bina
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3332,7 +3332,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast(1 as boolea
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3356,7 +3356,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('2017-12-11
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3380,7 +3380,7 @@ SELECT cast(1 as decimal(10, 0)) in (cast(1 as decimal(10, 0)), cast('2017-12-11
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3468,7 +3468,7 @@ SELECT cast(1 as string) in (cast(1 as string), cast('1' as binary)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3492,7 +3492,7 @@ SELECT cast(1 as string) in (cast(1 as string), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3532,7 +3532,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3556,7 +3556,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as smallint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3580,7 +3580,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3604,7 +3604,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3628,7 +3628,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3652,7 +3652,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3676,7 +3676,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as decimal(10, 0))) F
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3700,7 +3700,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3732,7 +3732,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast(1 as boolean)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3756,7 +3756,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast('2017-12-11 09:30:00.0'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3780,7 +3780,7 @@ SELECT cast('1' as binary) in (cast('1' as binary), cast('2017-12-11 09:30:00' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3804,7 +3804,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as tinyint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3828,7 +3828,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as smallint)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3852,7 +3852,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as int)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3876,7 +3876,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as bigint)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3900,7 +3900,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as float)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3924,7 +3924,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as double)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3948,7 +3948,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as decimal(10, 0)))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3972,7 +3972,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast(1 as string)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -3996,7 +3996,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast('1' as binary)) FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4028,7 +4028,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast('2017-12-11 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4052,7 +4052,7 @@ SELECT cast('1' as boolean) in (cast('1' as boolean), cast('2017-12-11 09:30:00'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4076,7 +4076,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4100,7 +4100,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4124,7 +4124,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4148,7 +4148,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4172,7 +4172,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4196,7 +4196,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4220,7 +4220,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4252,7 +4252,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4276,7 +4276,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) in (cast('2017-12-12 09:30:00.
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4316,7 +4316,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4340,7 +4340,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4364,7 +4364,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4388,7 +4388,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4412,7 +4412,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4436,7 +4436,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4460,7 +4460,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4492,7 +4492,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -4516,7 +4516,7 @@ SELECT cast('2017-12-12 09:30:00' as date) in (cast('2017-12-12 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapZipWith.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapZipWith.sql.out
index f476b701bfee4..452603c2b1eb3 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapZipWith.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapZipWith.sql.out
@@ -81,7 +81,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_ZIP_WITH_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -125,7 +125,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.MAP_ZIP_WITH_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapconcat.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapconcat.sql.out
index d9ef3ad4b5876..5907f700877f8 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapconcat.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapconcat.sql.out
@@ -90,7 +90,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -116,7 +116,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -142,7 +142,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -168,7 +168,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -194,7 +194,7 @@ FROM various_maps
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.DATA_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/promoteStrings.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/promoteStrings.sql.out
index 19ad8c0e1130a..8b87d9228bcad 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/promoteStrings.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/promoteStrings.sql.out
@@ -76,7 +76,7 @@ SELECT '1' + cast('1' as binary)                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -100,7 +100,7 @@ SELECT '1' + cast(1 as boolean)                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ SELECT '1' + cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ SELECT '1' + cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -238,7 +238,7 @@ SELECT '1' - cast('1' as binary)                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -262,7 +262,7 @@ SELECT '1' - cast(1 as boolean)                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -286,7 +286,7 @@ SELECT '1' - cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -384,7 +384,7 @@ SELECT '1' * cast('1' as binary)                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -408,7 +408,7 @@ SELECT '1' * cast(1 as boolean)                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -432,7 +432,7 @@ SELECT '1' * cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -456,7 +456,7 @@ SELECT '1' * cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -544,7 +544,7 @@ SELECT '1' / cast('1' as binary)                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -568,7 +568,7 @@ SELECT '1' / cast(1 as boolean)                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -592,7 +592,7 @@ SELECT '1' / cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -616,7 +616,7 @@ SELECT '1' / cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -704,7 +704,7 @@ SELECT '1' % cast('1' as binary)                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -728,7 +728,7 @@ SELECT '1' % cast(1 as boolean)                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -752,7 +752,7 @@ SELECT '1' % cast('2017-12-11 09:30:00.0' as timestamp) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -776,7 +776,7 @@ SELECT '1' % cast('2017-12-11 09:30:00' as date)        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -864,7 +864,7 @@ SELECT pmod('1', cast('1' as binary))                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -888,7 +888,7 @@ SELECT pmod('1', cast(1 as boolean))                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -912,7 +912,7 @@ SELECT pmod('1', cast('2017-12-11 09:30:00.0' as timestamp)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -936,7 +936,7 @@ SELECT pmod('1', cast('2017-12-11 09:30:00' as date))        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1016,7 +1016,7 @@ SELECT cast('1' as binary)                        + '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1040,7 +1040,7 @@ SELECT cast(1 as boolean)                         + '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1064,7 +1064,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) + '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1088,7 +1088,7 @@ SELECT cast('2017-12-11 09:30:00' as date)        + '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1170,7 +1170,7 @@ SELECT cast('1' as binary)                        - '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1194,7 +1194,7 @@ SELECT cast(1 as boolean)                         - '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1218,7 +1218,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) - '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1244,7 +1244,7 @@ SELECT cast('2017-12-11 09:30:00' as date)        - '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -1326,7 +1326,7 @@ SELECT cast('1' as binary)                        * '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1350,7 +1350,7 @@ SELECT cast(1 as boolean)                         * '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1374,7 +1374,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) * '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1398,7 +1398,7 @@ SELECT cast('2017-12-11 09:30:00' as date)        * '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1478,7 +1478,7 @@ SELECT cast('1' as binary)                        / '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1502,7 +1502,7 @@ SELECT cast(1 as boolean)                         / '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1526,7 +1526,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) / '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1550,7 +1550,7 @@ SELECT cast('2017-12-11 09:30:00' as date)        / '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1630,7 +1630,7 @@ SELECT cast('1' as binary)                        % '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1654,7 +1654,7 @@ SELECT cast(1 as boolean)                         % '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1678,7 +1678,7 @@ SELECT cast('2017-12-11 09:30:00.0' as timestamp) % '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1702,7 +1702,7 @@ SELECT cast('2017-12-11 09:30:00' as date)        % '1' FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1782,7 +1782,7 @@ SELECT pmod(cast('1' as binary), '1')                        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1806,7 +1806,7 @@ SELECT pmod(cast(1 as boolean), '1')                         FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1830,7 +1830,7 @@ SELECT pmod(cast('2017-12-11 09:30:00.0' as timestamp), '1') FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
@@ -1854,7 +1854,7 @@ SELECT pmod(cast('2017-12-11 09:30:00' as date), '1')        FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.BINARY_OP_DIFF_TYPES",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/stringCastAndExpressions.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/stringCastAndExpressions.sql.out
index 3a367f6b3f3c3..08b70ff920eb6 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/stringCastAndExpressions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/stringCastAndExpressions.sql.out
@@ -100,7 +100,7 @@ select cast(a as array<string>) from t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
@@ -124,7 +124,7 @@ select cast(a as struct<s:string>) from t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
@@ -148,7 +148,7 @@ select cast(a as map<string, string>) from t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.CAST_WITHOUT_SUGGESTION",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/widenSetOperationTypes.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/widenSetOperationTypes.sql.out
index e474a494d4831..79184489758bf 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/widenSetOperationTypes.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/widenSetOperationTypes.sql.out
@@ -84,7 +84,7 @@ SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -111,7 +111,7 @@ SELECT cast(1 as tinyint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -138,7 +138,7 @@ SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as ti
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -165,7 +165,7 @@ SELECT cast(1 as tinyint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -264,7 +264,7 @@ SELECT cast(1 as smallint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -291,7 +291,7 @@ SELECT cast(1 as smallint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -318,7 +318,7 @@ SELECT cast(1 as smallint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -345,7 +345,7 @@ SELECT cast(1 as smallint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -444,7 +444,7 @@ SELECT cast(1 as int) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -471,7 +471,7 @@ SELECT cast(1 as int) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -498,7 +498,7 @@ SELECT cast(1 as int) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as timest
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -525,7 +525,7 @@ SELECT cast(1 as int) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -624,7 +624,7 @@ SELECT cast(1 as bigint) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -651,7 +651,7 @@ SELECT cast(1 as bigint) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -678,7 +678,7 @@ SELECT cast(1 as bigint) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as tim
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -705,7 +705,7 @@ SELECT cast(1 as bigint) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -804,7 +804,7 @@ SELECT cast(1 as float) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -831,7 +831,7 @@ SELECT cast(1 as float) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -858,7 +858,7 @@ SELECT cast(1 as float) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as time
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -885,7 +885,7 @@ SELECT cast(1 as float) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -984,7 +984,7 @@ SELECT cast(1 as double) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1011,7 +1011,7 @@ SELECT cast(1 as double) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1038,7 +1038,7 @@ SELECT cast(1 as double) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as tim
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1065,7 +1065,7 @@ SELECT cast(1 as double) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1164,7 +1164,7 @@ SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1191,7 +1191,7 @@ SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1218,7 +1218,7 @@ SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2017-12-11 09:30:00.0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1245,7 +1245,7 @@ SELECT cast(1 as decimal(10, 0)) FROM t UNION SELECT cast('2017-12-11 09:30:00'
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1344,7 +1344,7 @@ SELECT cast(1 as string) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1371,7 +1371,7 @@ SELECT cast(1 as string) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1416,7 +1416,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1443,7 +1443,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1470,7 +1470,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1497,7 +1497,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1524,7 +1524,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1551,7 +1551,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1578,7 +1578,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1605,7 +1605,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1641,7 +1641,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast(2 as boolean) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1668,7 +1668,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1695,7 +1695,7 @@ SELECT cast('1' as binary) FROM t UNION SELECT cast('2017-12-11 09:30:00' as dat
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1722,7 +1722,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as tinyint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1749,7 +1749,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as smallint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1776,7 +1776,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as int) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1803,7 +1803,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as bigint) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1830,7 +1830,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as float) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1857,7 +1857,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as double) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1884,7 +1884,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as decimal(10, 0)) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1911,7 +1911,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast(2 as string) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1938,7 +1938,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast('2' as binary) FROM t
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -1973,7 +1973,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast('2017-12-11 09:30:00.0' as ti
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2000,7 +2000,7 @@ SELECT cast(1 as boolean) FROM t UNION SELECT cast('2017-12-11 09:30:00' as date
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2027,7 +2027,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2054,7 +2054,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2081,7 +2081,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2108,7 +2108,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2135,7 +2135,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2162,7 +2162,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2189,7 +2189,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2225,7 +2225,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast('2' a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2252,7 +2252,7 @@ SELECT cast('2017-12-12 09:30:00.0' as timestamp) FROM t UNION SELECT cast(2 as
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2297,7 +2297,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as tinyint
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2324,7 +2324,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as smallin
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2351,7 +2351,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as int) FR
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2378,7 +2378,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as bigint)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2405,7 +2405,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as float)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2432,7 +2432,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as double)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2459,7 +2459,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as decimal
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2495,7 +2495,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast('2' as binar
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -2522,7 +2522,7 @@ SELECT cast('2017-12-12 09:30:00' as date) FROM t UNION SELECT cast(2 as boolean
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
diff --git a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/windowFrameCoercion.sql.out b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/windowFrameCoercion.sql.out
index 43e6873f40d8f..f6d1120c75ff2 100644
--- a/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/windowFrameCoercion.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/typeCoercion/native/windowFrameCoercion.sql.out
@@ -164,7 +164,7 @@ SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast(1 as string) DESC RANGE BETWE
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -189,7 +189,7 @@ SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast('1' as binary) DESC RANGE BET
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -214,7 +214,7 @@ SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast(1 as boolean) DESC RANGE BETW
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -239,7 +239,7 @@ SELECT COUNT(*) OVER (PARTITION BY 1 ORDER BY cast('2017-12-11 09:30:00.0' as ti
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/udaf/udaf-group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/udaf/udaf-group-by.sql.out
index 7725bb529d3d3..84040b6d142c9 100644
--- a/sql/core/src/test/resources/sql-tests/results/udaf/udaf-group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udaf/udaf-group-by.sql.out
@@ -14,7 +14,7 @@ SELECT a, udaf(b) FROM testData
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -52,7 +52,7 @@ SELECT a, udaf(b) FROM testData GROUP BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -115,7 +115,7 @@ SELECT a + 2, udaf(b) FROM testData GROUP BY a + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -200,7 +200,7 @@ SELECT a AS k, udaf(non_existing) FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -232,7 +232,7 @@ SELECT k AS a, udaf(v) FROM testDataHasSameNameWithAlias GROUP BY a
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -256,7 +256,7 @@ SELECT a AS k, udaf(b) FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part1.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part1.sql.out
index 8a9a227917121..6e955c1e4f1ee 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part1.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part1.sql.out
@@ -498,7 +498,7 @@ from tenk1 o
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part3.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part3.sql.out
index a97d734e548bb..e31538c166428 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-aggregates_part3.sql.out
@@ -4,7 +4,7 @@ select udf(max(min(unique1))) from tenk1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-join.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-join.sql.out
index a757ae83d244b..0eb291c07c74b 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-join.sql.out
@@ -3300,7 +3300,7 @@ select * from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3333,7 +3333,7 @@ select udf(t1.uunique1) from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3357,7 +3357,7 @@ select udf(udf(t2.uunique1)) from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3381,7 +3381,7 @@ select udf(uunique1) from
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -3595,7 +3595,7 @@ select udf(udf(f1,g)) from int4_tbl a, (select udf(udf(f1)) as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3617,7 +3617,7 @@ select udf(f1,g) from int4_tbl a, (select a.f1 as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3639,7 +3639,7 @@ select udf(udf(f1,g)) from int4_tbl a cross join (select udf(f1) as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
@@ -3661,7 +3661,7 @@ select udf(f1,g) from int4_tbl a cross join (select udf(udf(a.f1)) as g) ss
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITHOUT_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_having.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_having.sql.out
index 1f07f5d1c610c..a220e6487f811 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_having.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_having.sql.out
@@ -139,7 +139,7 @@ SELECT udf(a) FROM test_having HAVING udf(min(a)) < udf(max(a))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -158,7 +158,7 @@ SELECT 1 AS one FROM test_having HAVING udf(a) > 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_implicit.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_implicit.sql.out
index 0ee95e786f526..a3a7cee4eaa77 100755
--- a/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_implicit.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/postgreSQL/udf-select_implicit.sql.out
@@ -121,7 +121,7 @@ SELECT udf(count(*)) FROM test_missing_target GROUP BY udf(a) ORDER BY udf(b)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -368,7 +368,7 @@ SELECT udf(count(udf(a))) FROM test_missing_target GROUP BY udf(a) ORDER BY udf(
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-except-all.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-except-all.sql.out
index 24e77ca3e07b4..ad1b0aabcdec5 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-except-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-except-all.sql.out
@@ -137,7 +137,7 @@ SELECT array(1)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -227,7 +227,7 @@ SELECT k, v FROM tab4
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-analytics.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-analytics.sql.out
index f927bf0366336..ffa25eecdce43 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-analytics.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-analytics.sql.out
@@ -206,7 +206,7 @@ SELECT course, udf(year), GROUPING(course) FROM courseSales GROUP BY course, udf
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
@@ -224,7 +224,7 @@ SELECT course, udf(year), GROUPING_ID(course, year) FROM courseSales GROUP BY ud
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNSUPPORTED_GROUPING_EXPRESSION",
   "queryContext" : [ {
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
index 9b59794400455..e1737de2b6700 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
@@ -14,7 +14,7 @@ SELECT udf(a), udf(COUNT(b)) FROM testData
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -52,7 +52,7 @@ SELECT udf(a), udf(COUNT(udf(b))) FROM testData GROUP BY b
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -123,7 +123,7 @@ SELECT udf(a + 2), udf(COUNT(b)) FROM testData GROUP BY a + 1
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -187,7 +187,7 @@ SELECT udf(COUNT(b)) AS k FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "GROUP_BY_AGGREGATE",
   "sqlState" : "42903",
@@ -218,7 +218,7 @@ SELECT k AS a, udf(COUNT(udf(v))) FROM testDataHasSameNameWithAlias GROUP BY udf
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_AGGREGATION",
   "sqlState" : "42803",
@@ -242,7 +242,7 @@ SELECT a AS k, udf(COUNT(udf(b))) FROM testData GROUP BY k
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -328,7 +328,7 @@ SELECT udf(id) FROM range(10) HAVING id > 0
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "MISSING_GROUP_BY",
   "sqlState" : "42803",
@@ -444,7 +444,7 @@ SELECT every(udf(1))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -470,7 +470,7 @@ SELECT some(udf(1S))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -496,7 +496,7 @@ SELECT any(udf(1L))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -522,7 +522,7 @@ SELECT udf(every("true"))
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
   "sqlState" : "42K09",
@@ -625,7 +625,7 @@ SELECT udf(count(*)) FROM test_agg WHERE count(*) > 1L
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -648,7 +648,7 @@ SELECT udf(count(*)) FROM test_agg WHERE count(*) + 1L > 1L
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
@@ -671,7 +671,7 @@ SELECT udf(count(*)) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INVALID_WHERE_CONDITION",
   "sqlState" : "42903",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-intersect-all.sql.out
index 05d089744dac5..240469b0cab66 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-intersect-all.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-intersect-all.sql.out
@@ -94,7 +94,7 @@ SELECT array(1), udf(2)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "INCOMPATIBLE_COLUMN_TYPE",
   "sqlState" : "42825",
@@ -123,7 +123,7 @@ SELECT udf(k), udf(v) FROM tab2
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NUM_COLUMNS_MISMATCH",
   "sqlState" : "42826",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-pivot.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-pivot.sql.out
index 8bd2157b453a9..50376fb86a501 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-pivot.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-pivot.sql.out
@@ -238,7 +238,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
@@ -282,7 +282,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "NESTED_AGGREGATE_FUNCTION",
   "sqlState" : "42607",
@@ -364,7 +364,7 @@ PIVOT (
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "UNRESOLVED_COLUMN.WITH_SUGGESTION",
   "sqlState" : "42703",
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-window.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-window.sql.out
index 3fa08c2e43584..451f514a21708 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-window.sql.out
@@ -57,7 +57,7 @@ ROWS BETWEEN CURRENT ROW AND 2147483648 FOLLOWING) FROM testData ORDER BY udf(ca
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -203,7 +203,7 @@ ROWS BETWEEN UNBOUNDED FOLLOWING AND 1 FOLLOWING) FROM testData ORDER BY cate, u
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_INVALID_BOUND",
   "sqlState" : "42K09",
@@ -228,7 +228,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -251,7 +251,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_MULTI_ORDER",
   "sqlState" : "42K09",
@@ -275,7 +275,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, udf(val)
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -300,7 +300,7 @@ RANGE BETWEEN 1 FOLLOWING AND 1 PRECEDING) FROM testData ORDER BY udf(cate), val
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_WRONG_COMPARISON",
   "sqlState" : "42K09",
diff --git a/sql/core/src/test/resources/sql-tests/results/window.sql.out b/sql/core/src/test/resources/sql-tests/results/window.sql.out
index 7566f9eb20fd9..d70f7c974c2a3 100644
--- a/sql/core/src/test/resources/sql-tests/results/window.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/window.sql.out
@@ -101,7 +101,7 @@ ROWS BETWEEN CURRENT ROW AND 2147483648 FOLLOWING) FROM testData ORDER BY cate,
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE",
   "sqlState" : "42K09",
@@ -339,7 +339,7 @@ ORDER BY cate, val_date
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -381,7 +381,7 @@ ROWS BETWEEN UNBOUNDED FOLLOWING AND 1 FOLLOWING) FROM testData ORDER BY cate, v
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_INVALID_BOUND",
   "sqlState" : "42K09",
@@ -406,7 +406,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_WITHOUT_ORDER",
   "sqlState" : "42K09",
@@ -429,7 +429,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_MULTI_ORDER",
   "sqlState" : "42K09",
@@ -453,7 +453,7 @@ RANGE BETWEEN CURRENT ROW AND 1 FOLLOWING) FROM testData ORDER BY cate, val
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.RANGE_FRAME_INVALID_TYPE",
   "sqlState" : "42K09",
@@ -478,7 +478,7 @@ RANGE BETWEEN 1 FOLLOWING AND 1 PRECEDING) FROM testData ORDER BY cate, val
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "DATATYPE_MISMATCH.SPECIFIED_WINDOW_FRAME_WRONG_COMPARISON",
   "sqlState" : "42K09",
@@ -1318,7 +1318,7 @@ FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_1004",
   "messageParameters" : {
@@ -1335,7 +1335,7 @@ FROM
 -- !query schema
 struct<>
 -- !query output
-org.apache.spark.sql.AnalysisException
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_1004",
   "messageParameters" : {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
index 2e248a27888ce..b21a8344fd00e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
@@ -29,7 +29,6 @@ import org.apache.spark.{SparkException, SparkRuntimeException}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Literal, StructsToJson}
 import org.apache.spark.sql.catalyst.expressions.Cast._
-import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
@@ -541,7 +540,7 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
     )
 
     checkError(
-      exception = intercept[ParseException] {
+      exception = intercept[AnalysisException] {
         df3.selectExpr("""from_json(value, 'time InvalidType')""")
       },
       errorClass = "PARSE_SYNTAX_ERROR",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala b/sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala
index 22cc4fd46cbd8..c2c333a998b43 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala
@@ -23,6 +23,7 @@ import scala.collection.JavaConverters._
 
 import org.scalatest.Assertions
 
+import org.apache.spark.sql.catalyst.ExtendedAnalysisException
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.execution.SQLExecution
@@ -96,7 +97,7 @@ abstract class QueryTest extends PlanTest {
 
   private def getResult[T](ds: => Dataset[T]): Array[T] = {
     val analyzedDS = try ds catch {
-      case ae: AnalysisException =>
+      case ae: ExtendedAnalysisException =>
         if (ae.plan.isDefined) {
           fail(
             s"""
@@ -131,7 +132,7 @@ abstract class QueryTest extends PlanTest {
    */
   protected def checkAnswer(df: => DataFrame, expectedAnswer: Seq[Row]): Unit = {
     val analyzedDF = try df catch {
-      case ae: AnalysisException =>
+      case ae: ExtendedAnalysisException =>
         if (ae.plan.isDefined) {
           fail(
             s"""
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 0e08fed12ba72..cfeccbdf648c2 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -30,6 +30,7 @@ import org.apache.commons.io.FileUtils
 
 import org.apache.spark.{AccumulatorSuite, SPARK_DOC_ROOT, SparkException}
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
+import org.apache.spark.sql.catalyst.ExtendedAnalysisException
 import org.apache.spark.sql.catalyst.expressions.{GenericRow, Hex}
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.aggregate.{Complete, Partial}
@@ -2632,11 +2633,12 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
     assert(!jobStarted.get(), "Command should not trigger a Spark job.")
   }
 
-  test("SPARK-20164: AnalysisException should be tolerant to null query plan") {
+  test("SPARK-20164: ExtendedAnalysisException should be tolerant to null query plan") {
     try {
-      throw new AnalysisException("", None, None, plan = null)
+      throw new ExtendedAnalysisException("", None, None, plan = null)
     } catch {
-      case ae: AnalysisException => assert(ae.plan == null && ae.getMessage == ae.getSimpleMessage)
+      case ae: ExtendedAnalysisException =>
+        assert(ae.plan == null && ae.getMessage == ae.getSimpleMessage)
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestHelper.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestHelper.scala
index 5f61e48326aa4..d8956961440df 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestHelper.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestHelper.scala
@@ -140,8 +140,7 @@ trait SQLQueryTestHelper extends Logging {
         // Do not output the logical plan tree which contains expression IDs.
         // Also implement a crude way of masking expression IDs in the error message
         // with a generic pattern "###".
-        val msg = if (a.plan.nonEmpty) a.getSimpleMessage else a.getMessage
-        (emptySchema, Seq(a.getClass.getName, msg.replaceAll("#\\d+", "#x")))
+        (emptySchema, Seq(a.getClass.getName, a.getSimpleMessage.replaceAll("#\\d+", "#x")))
       case s: SparkException if s.getCause != null =>
         // For a runtime exception, it is hard to match because its message contains
         // information of stage, task ID, etc.

From 7539d1992ca2c01988c440c3a0706a23b9112e73 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 27 Jul 2023 14:08:09 +0900
Subject: [PATCH 074/986] [SPARK-44557][INFRA] Clean up untracked/ignored files
 before running pip packaging test in GitHub Actions

### What changes were proposed in this pull request?

This PR proposes to remove untracked/ignored files before running pip packaging test in GitHub Actions.

### Why are the changes needed?

In order to fix the flakiness in the test such as:

```
...
creating dist
Creating tar archive
error: [Errno 28] No space left on device
Cleaning up temporary directory - /tmp/tmp.CvSzgB7Kyy
```

See also https://github.com/apache/spark/actions/runs/5665869112/job/15351515539.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

GitHub Actions build in this PR.

Closes #42159 from HyukjinKwon/debug-ci-failure.

Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 77aab6edb7c2b7be54cb19d40c0eeeb2c699f0f7)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/run-pip-tests | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/dev/run-pip-tests b/dev/run-pip-tests
index 5da231495a29f..773611d9d9221 100755
--- a/dev/run-pip-tests
+++ b/dev/run-pip-tests
@@ -25,6 +25,13 @@ shopt -s nullglob
 FWDIR="$(cd "$(dirname "$0")"/..; pwd)"
 cd "$FWDIR"
 
+# Clean ignored/untracked files that do not need
+# for pip packaging test. Machines in GitHub Action do not have
+# enough space, see also SPARK-44557.
+if [[ ! -z "${GITHUB_ACTIONS}" ]]; then
+  git clean -d -f -x -e assembly
+fi
+
 echo "Constructing virtual env for testing"
 VIRTUALENV_BASE=$(mktemp -d)
 

From 9dd388a1fd793d4cdf3cc8586f59220c1d0bcefb Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 27 Jul 2023 16:16:03 +0800
Subject: [PATCH 075/986] [SPARK-44544][INFRA][FOLLOWUP] Force run
 `run_python_packaging_tests`

### What changes were proposed in this pull request?
run `run_python_packaging_tests` when there are any changes in PySpark

### Why are the changes needed?
https://github.com/apache/spark/pull/42146 make CI run `run_python_packaging_tests` only within `pyspark-errors` (see https://github.com/apache/spark/actions/runs/5666118302/job/15359190468 and https://github.com/apache/spark/actions/runs/5668071930/job/15358091003)

![image](https://github.com/apache/spark/assets/7322292/aef5cd4c-87ee-4b52-add3-e19ca131cdf1)

but I ignored that `pyspark-errors` maybe skipped (because no related source changes), so the `run_python_packaging_tests` maybe also skipped  unexpectedly (see https://github.com/apache/spark/actions/runs/5666523657/job/15353485731)

![image](https://github.com/apache/spark/assets/7322292/c2517d39-efcf-4a95-8562-1507dad35794)

this PR is to run `run_python_packaging_tests` even if `pyspark-errors` is skipped

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
updated CI

Closes #42173 from zhengruifeng/infra_followup.

Lead-authored-by: Ruifeng Zheng <ruifengz@apache.org>
Co-authored-by: Ruifeng Zheng <ruifengz@foxmail.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit f7947341ab2984113018f7f7014bb8373a3cb3b1)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 dev/sparktestsupport/modules.py | 9 ++++++++-
 dev/sparktestsupport/utils.py   | 2 +-
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 9d0ba219e79fc..3cfd82c3d3117 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -1040,7 +1040,14 @@ def __hash__(self):
 pyspark_errors = Module(
     name="pyspark-errors",
     dependencies=[],
-    source_file_regexes=["python/pyspark/errors"],
+    source_file_regexes=[
+        # SPARK-44544: Force the execution of pyspark_errors when there are any changes
+        # in PySpark, since the Python Packaging Tests is only enabled within this module.
+        # This module is the smallest Python test module, it contains only 1 test file
+        # and normally takes < 2 seconds, so the additional cost is small.
+        "python/",
+        "python/pyspark/errors",
+    ],
     python_test_goals=[
         # unittests
         "pyspark.errors.tests.test_errors",
diff --git a/dev/sparktestsupport/utils.py b/dev/sparktestsupport/utils.py
index 339534bec25f2..816c982bd60e9 100755
--- a/dev/sparktestsupport/utils.py
+++ b/dev/sparktestsupport/utils.py
@@ -38,7 +38,7 @@ def determine_modules_for_files(filenames):
     and `README.md` is always ignored too.
 
     >>> sorted(x.name for x in determine_modules_for_files(["python/pyspark/a.py", "sql/core/foo"]))
-    ['pyspark-core', 'sql']
+    ['pyspark-core', 'pyspark-errors', 'sql']
     >>> [x.name for x in determine_modules_for_files(["file_not_matched_by_any_subproject"])]
     ['root']
     >>> [x.name for x in determine_modules_for_files(["appveyor.yml", "sql/README.md"])]

From 48494e1fa49e93239a3fb240e7fdbce015f5cc0c Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Thu, 27 Jul 2023 20:53:43 +0800
Subject: [PATCH 076/986] [SPARK-44505][SQL] Provide override for columnar
 support in Scan for DSv2

### What changes were proposed in this pull request?
Previously, when a new DSv2 data source is implemented during planning, it will always call `BatchScanExec:supportsColumnar` which will in turn iterate over all input partitions to check if they support columnar or not.

When the `planInputPartitions` method is expensive this can be problematic. This patch adds an option to the Scan interface that allows specifying a default value. For backward compatibility the default value provided by the Scan interface is partition defined, but a Scan can change it accordingly.

To fully support the changes of this PR, the following additional changes had to be done:

* `DataSourceV2ScanExecBase::outputPartitioning` removed the case for single partitions.
* `lazyval DataSourceV2ScanExecBase::groupedPartitions` added a special check for empty key group partitioning so that the simple case does not trigger a materialization of the input partitions during planning.

Additionally:
* Fixes similar issues as https://github.com/apache/spark/pull/40004

### Why are the changes needed?
Avoid costly operations during explain operations.

### Does this PR introduce _any_ user-facing change?
Np

### How was this patch tested?
Added new UT.

Closes #42099 from grundprinzip/SPARK-44505.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 01191c83f8c77f5dcc85b9017551023d81ed0d45)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/connector/read/Scan.java | 24 ++++++++++
 .../v2/DataSourceV2ScanExecBase.scala         | 44 +++++++++++--------
 .../sql/connector/DataSourceV2Suite.scala     | 37 ++++++++++++++++
 .../KeyGroupedPartitioningSuite.scala         |  5 ++-
 .../command/AlignAssignmentsSuiteBase.scala   |  4 +-
 5 files changed, 93 insertions(+), 21 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/Scan.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/Scan.java
index 8f79c65621061..969a47be70707 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/Scan.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/Scan.java
@@ -125,4 +125,28 @@ default CustomMetric[] supportedCustomMetrics() {
   default CustomTaskMetric[] reportDriverMetrics() {
     return new CustomTaskMetric[]{};
   }
+
+  /**
+   * This enum defines how the columnar support for the partitions of the data source
+   * should be determined. The default value is `PARTITION_DEFINED` which indicates that each
+   * partition can determine if it should be columnar or not. SUPPORTED and UNSUPPORTED provide
+   * default shortcuts to indicate support for columnar data or not.
+   *
+   * @since 3.5.0
+   */
+  enum ColumnarSupportMode {
+    PARTITION_DEFINED,
+    SUPPORTED,
+    UNSUPPORTED
+  }
+
+  /**
+   * Subclasses can implement this method to indicate if the support for columnar data should
+   * be determined by each partition or is set as a default for the whole scan.
+   *
+   * @since 3.5.0
+   */
+  default ColumnarSupportMode columnarSupportMode() {
+    return ColumnarSupportMode.PARTITION_DEFINED;
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala
index e539b1c4ee3d0..f688d3514d9aa 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala
@@ -21,7 +21,7 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Expression, RowOrdering, SortOrder}
 import org.apache.spark.sql.catalyst.plans.physical
-import org.apache.spark.sql.catalyst.plans.physical.{KeyGroupedPartitioning, SinglePartition}
+import org.apache.spark.sql.catalyst.plans.physical.KeyGroupedPartitioning
 import org.apache.spark.sql.catalyst.util.{truncatedString, InternalRowComparableWrapper}
 import org.apache.spark.sql.connector.read.{HasPartitionKey, InputPartition, PartitionReaderFactory, Scan}
 import org.apache.spark.sql.execution.{ExplainUtils, LeafExecNode, SQLExecution}
@@ -91,22 +91,25 @@ trait DataSourceV2ScanExecBase extends LeafExecNode {
   }
 
   override def outputPartitioning: physical.Partitioning = {
-    if (partitions.length == 1) {
-      SinglePartition
-    } else {
-      keyGroupedPartitioning match {
-        case Some(exprs) if KeyGroupedPartitioning.supportsExpressions(exprs) =>
-          groupedPartitions.map { partitionValues =>
+    keyGroupedPartitioning match {
+      case Some(exprs) if KeyGroupedPartitioning.supportsExpressions(exprs) =>
+        groupedPartitions
+          .map { partitionValues =>
             KeyGroupedPartitioning(exprs, partitionValues.size, partitionValues.map(_._1))
-          }.getOrElse(super.outputPartitioning)
-        case _ =>
-          super.outputPartitioning
-      }
+          }
+          .getOrElse(super.outputPartitioning)
+      case _ =>
+        super.outputPartitioning
     }
   }
 
-  @transient lazy val groupedPartitions: Option[Seq[(InternalRow, Seq[InputPartition])]] =
-    groupPartitions(inputPartitions)
+  @transient lazy val groupedPartitions: Option[Seq[(InternalRow, Seq[InputPartition])]] = {
+    // Early check if we actually need to materialize the input partitions.
+    keyGroupedPartitioning match {
+      case Some(_) => groupPartitions(inputPartitions)
+      case _ => None
+    }
+  }
 
   /**
    * Group partition values for all the input partitions. This returns `Some` iff:
@@ -170,11 +173,16 @@ trait DataSourceV2ScanExecBase extends LeafExecNode {
   }
 
   override def supportsColumnar: Boolean = {
-    require(inputPartitions.forall(readerFactory.supportColumnarReads) ||
-      !inputPartitions.exists(readerFactory.supportColumnarReads),
-      "Cannot mix row-based and columnar input partitions.")
-
-    inputPartitions.exists(readerFactory.supportColumnarReads)
+    scan.columnarSupportMode() match {
+      case Scan.ColumnarSupportMode.PARTITION_DEFINED =>
+        require(
+          inputPartitions.forall(readerFactory.supportColumnarReads) ||
+            !inputPartitions.exists(readerFactory.supportColumnarReads),
+          "Cannot mix row-based and columnar input partitions.")
+        inputPartitions.exists(readerFactory.supportColumnarReads)
+      case Scan.ColumnarSupportMode.SUPPORTED => true
+      case Scan.ColumnarSupportMode.UNSUPPORTED => false
+    }
   }
 
   def inputRDD: RDD[InternalRow]
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
index 236b4c702d180..52d0151ee4623 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
@@ -29,6 +29,7 @@ import org.apache.spark.sql.connector.catalog.TableCapability._
 import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, Literal, NamedReference, NullOrdering, SortDirection, SortOrder, Transform}
 import org.apache.spark.sql.connector.expressions.filter.Predicate
 import org.apache.spark.sql.connector.read._
+import org.apache.spark.sql.connector.read.Scan.ColumnarSupportMode
 import org.apache.spark.sql.connector.read.partitioning.{KeyGroupedPartitioning, Partitioning, UnknownPartitioning}
 import org.apache.spark.sql.execution.SortExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
@@ -388,6 +389,23 @@ class DataSourceV2Suite extends QueryTest with SharedSparkSession with AdaptiveS
     assert(df.queryExecution.executedPlan.collect { case e: Exchange => e }.isEmpty)
   }
 
+  test("SPARK-44505: should not call planInputPartitions() on explain") {
+    val df = spark.read.format(classOf[ScanDefinedColumnarSupport].getName)
+      .option("columnar", "PARTITION_DEFINED").load()
+    // Default mode will throw an exception on explain.
+    var ex = intercept[IllegalArgumentException](df.explain())
+    assert(ex.getMessage == "planInputPartitions must not be called")
+
+    Seq("SUPPORTED", "UNSUPPORTED").foreach { o =>
+      val dfScan = spark.read.format(classOf[ScanDefinedColumnarSupport].getName)
+        .option("columnar", o).load()
+      dfScan.explain()
+      //  Will fail during regular execution.
+      ex = intercept[IllegalArgumentException](dfScan.count())
+      assert(ex.getMessage == "planInputPartitions must not be called")
+    }
+  }
+
   test("simple writable data source") {
     Seq(classOf[SimpleWritableDataSource], classOf[JavaSimpleWritableDataSource]).foreach { cls =>
       withTempPath { file =>
@@ -686,6 +704,25 @@ class SimpleSinglePartitionSource extends TestingV2Source {
   }
 }
 
+class ScanDefinedColumnarSupport extends TestingV2Source {
+
+  class MyScanBuilder(st: ColumnarSupportMode) extends SimpleScanBuilder {
+    override def planInputPartitions(): Array[InputPartition] = {
+      throw new IllegalArgumentException("planInputPartitions must not be called")
+    }
+
+    override def columnarSupportMode() : ColumnarSupportMode = st
+
+  }
+
+  override def getTable(options: CaseInsensitiveStringMap): Table = new SimpleBatchTable {
+    override def newScanBuilder(options: CaseInsensitiveStringMap): ScanBuilder = {
+      new MyScanBuilder(Scan.ColumnarSupportMode.valueOf(options.get("columnar")))
+    }
+  }
+
+}
+
 
 // This class is used by pyspark tests. If this class is modified/moved, make sure pyspark
 // tests still pass.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index be5e1b524e565..8be3c6d9e136b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -128,7 +128,10 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
     val distribution = physical.ClusteredDistribution(
       Seq(TransformExpression(BucketFunction, Seq(attr("ts")), Some(32))))
 
-    checkQueryPlan(df, distribution, physical.SinglePartition)
+    // Has exactly one partition.
+    val partitionValues = Seq(31).map(v => InternalRow.fromSeq(Seq(v)))
+    checkQueryPlan(df, distribution,
+      physical.KeyGroupedPartitioning(distribution.clustering, 1, partitionValues))
   }
 
   test("non-clustered distribution: no V2 catalog") {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
index 66a986da936ad..a2f3d872a68e9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
@@ -147,7 +147,7 @@ abstract class AlignAssignmentsSuiteBase extends AnalysisTest {
   private val v2Catalog = {
     val newCatalog = mock(classOf[TableCatalog])
     when(newCatalog.loadTable(any())).thenAnswer((invocation: InvocationOnMock) => {
-      val ident = invocation.getArgument[Identifier](0)
+      val ident = invocation.getArguments()(0).asInstanceOf[Identifier]
       ident.name match {
         case "primitive_table" => primitiveTable
         case "primitive_table_src" => primitiveTableSource
@@ -172,7 +172,7 @@ abstract class AlignAssignmentsSuiteBase extends AnalysisTest {
   private val catalogManager = {
     val manager = mock(classOf[CatalogManager])
     when(manager.catalog(any())).thenAnswer((invocation: InvocationOnMock) => {
-      invocation.getArgument[String](0) match {
+      invocation.getArguments()(0).asInstanceOf[String] match {
         case "testcat" => v2Catalog
         case CatalogManager.SESSION_CATALOG_NAME => v2SessionCatalog
         case name => throw new CatalogNotFoundException(s"No such catalog: $name")

From 36b93d07eb961905647c42fac80e22efdfb15f4f Mon Sep 17 00:00:00 2001
From: Xinrong Meng <xinrong@apache.org>
Date: Thu, 27 Jul 2023 13:45:05 -0700
Subject: [PATCH 077/986] [SPARK-44560][PYTHON][CONNECT] Improve tests and
 documentation for Arrow Python UDF

### What changes were proposed in this pull request?

- Test on complex return type
- Remove complex return type constraints for Arrow Python UDF on Spark Connect
- Update documentation of the related Spark conf

The change targets both Spark 3.5 and 4.0.

### Why are the changes needed?
Testability and parity with vanilla PySpark.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Unit tests.

Closes #42178 from xinrong-meng/conf.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Xinrong Meng <xinrong@apache.org>
(cherry picked from commit 5f6537409383e2dbdd699108f708567c37db8151)
Signed-off-by: Xinrong Meng <xinrong@apache.org>
---
 python/pyspark/sql/connect/udf.py                | 10 ++--------
 .../pyspark/sql/tests/test_arrow_python_udf.py   |  5 -----
 python/pyspark/sql/tests/test_udf.py             | 16 ++++++++++++++++
 .../org/apache/spark/sql/internal/SQLConf.scala  |  3 +--
 4 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/python/pyspark/sql/connect/udf.py b/python/pyspark/sql/connect/udf.py
index 0a5d06618b3a8..2d7e423d3d571 100644
--- a/python/pyspark/sql/connect/udf.py
+++ b/python/pyspark/sql/connect/udf.py
@@ -35,7 +35,7 @@
 )
 from pyspark.sql.connect.column import Column
 from pyspark.sql.connect.types import UnparsedDataType
-from pyspark.sql.types import ArrayType, DataType, MapType, StringType, StructType
+from pyspark.sql.types import DataType, StringType
 from pyspark.sql.udf import UDFRegistration as PySparkUDFRegistration
 from pyspark.errors import PySparkTypeError
 
@@ -70,18 +70,12 @@ def _create_py_udf(
         is_arrow_enabled = useArrow
 
     regular_udf = _create_udf(f, returnType, PythonEvalType.SQL_BATCHED_UDF)
-    return_type = regular_udf.returnType
     try:
         is_func_with_args = len(getfullargspec(f).args) > 0
     except TypeError:
         is_func_with_args = False
-    is_output_atomic_type = (
-        not isinstance(return_type, StructType)
-        and not isinstance(return_type, MapType)
-        and not isinstance(return_type, ArrayType)
-    )
     if is_arrow_enabled:
-        if is_output_atomic_type and is_func_with_args:
+        if is_func_with_args:
             return _create_arrow_py_udf(regular_udf)
         else:
             warnings.warn(
diff --git a/python/pyspark/sql/tests/test_arrow_python_udf.py b/python/pyspark/sql/tests/test_arrow_python_udf.py
index 264ea0b901f43..f48f07666e190 100644
--- a/python/pyspark/sql/tests/test_arrow_python_udf.py
+++ b/python/pyspark/sql/tests/test_arrow_python_udf.py
@@ -47,11 +47,6 @@ def test_register_java_function(self):
     def test_register_java_udaf(self):
         super(PythonUDFArrowTests, self).test_register_java_udaf()
 
-    # TODO(SPARK-43903): Standardize ArrayType conversion for Python UDF
-    @unittest.skip("Inconsistent ArrayType conversion with/without Arrow.")
-    def test_nested_array(self):
-        super(PythonUDFArrowTests, self).test_nested_array()
-
     def test_complex_input_types(self):
         row = (
             self.spark.range(1)
diff --git a/python/pyspark/sql/tests/test_udf.py b/python/pyspark/sql/tests/test_udf.py
index 8ffcb5e05a2f2..239ff27813beb 100644
--- a/python/pyspark/sql/tests/test_udf.py
+++ b/python/pyspark/sql/tests/test_udf.py
@@ -882,6 +882,22 @@ def f(x):
         row = df.select(f("nested_array")).first()
         self.assertEquals(row[0], [[1, 2], [3, 4], [4, 5]])
 
+    def test_complex_return_types(self):
+        row = (
+            self.spark.range(1)
+            .selectExpr("array(1, 2, 3) as array", "map('a', 'b') as map", "struct(1, 2) as struct")
+            .select(
+                udf(lambda x: x, "array<int>")("array"),
+                udf(lambda x: x, "map<string,string>")("map"),
+                udf(lambda x: x, "struct<col1:int,col2:int>")("struct"),
+            )
+            .first()
+        )
+
+        self.assertEquals(row[0], [1, 2, 3])
+        self.assertEquals(row[1], {"a": "b"})
+        self.assertEquals(row[2], Row(col1=1, col2=2))
+
 
 class UDFTests(BaseUDFTestsMixin, ReusedSQLTestCase):
     @classmethod
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index d4987e3443f53..7fd960de37f2e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2917,8 +2917,7 @@ object SQLConf {
   val PYTHON_UDF_ARROW_ENABLED =
     buildConf("spark.sql.execution.pythonUDF.arrow.enabled")
       .doc("Enable Arrow optimization in regular Python UDFs. This optimization " +
-        "can only be enabled for atomic output types and input types except struct and map types " +
-        "when the given function takes at least one argument.")
+        "can only be enabled when the given function takes at least one argument.")
       .version("3.4.0")
       .booleanConf
       .createWithDefault(false)

From cbcd85c5e57695f3992eaf694d61be86f84449c3 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 28 Jul 2023 07:55:02 +0900
Subject: [PATCH 078/986] [SPARK-44425][CONNECT] Validate that user provided
 sessionId is an UUID

We want to validate that user provided sessionId is an UUID. Existing Spark Connect python and scala clients already do that, we would like to depend on it being in this format moving forward, just like we already validate that operatoinId is an UUID.

Validate what's already assumed.

No.

Existing CI.

Closes #42150 from juliuszsompolski/SPARK-44425.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit a3bd477a6d8c317ee1e9a6aae6ebd2ef4fc67cce)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../main/protobuf/spark/connect/base.proto    |  6 +++++
 .../connect/service/SparkConnectService.scala | 12 +++++++++-
 .../artifact/ArtifactManagerSuite.scala       | 15 ++++++++----
 .../planner/SparkConnectServiceSuite.scala    | 23 +++++++++++--------
 .../service/AddArtifactsHandlerSuite.scala    | 13 +++++++----
 python/pyspark/sql/connect/proto/base_pb2.pyi |  6 +++++
 6 files changed, 55 insertions(+), 20 deletions(-)

diff --git a/connector/connect/common/src/main/protobuf/spark/connect/base.proto b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
index d935ae65328d4..21fd167f6b5dd 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/base.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
@@ -63,6 +63,7 @@ message AnalyzePlanRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // (Required) User context
@@ -273,6 +274,7 @@ message ExecutePlanRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // (Required) User context
@@ -407,6 +409,7 @@ message ConfigRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // (Required) User context
@@ -492,6 +495,7 @@ message AddArtifactsRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // User context
@@ -581,6 +585,7 @@ message ArtifactStatusesRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // User context
@@ -617,6 +622,7 @@ message InterruptRequest {
   // The session_id specifies a spark session for a user id (which is specified
   // by user_context.user_id). The session_id is set by the client to be able to
   // collate streaming responses from different queries within the dedicated session.
+  // The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string session_id = 1;
 
   // (Required) User context
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index ad40c94d5498c..c8fbfca6f705b 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.connect.service
 
+import java.util.UUID
 import java.util.concurrent.TimeUnit
 
 import com.google.common.base.Ticker
@@ -27,7 +28,7 @@ import io.grpc.protobuf.services.ProtoReflectionService
 import io.grpc.stub.StreamObserver
 import org.apache.commons.lang3.StringUtils
 
-import org.apache.spark.SparkEnv
+import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.{AddArtifactsRequest, AddArtifactsResponse}
 import org.apache.spark.internal.Logging
@@ -220,6 +221,15 @@ object SparkConnectService {
    * Based on the `key` find or create a new SparkSession.
    */
   def getOrCreateIsolatedSession(userId: String, sessionId: String): SessionHolder = {
+    // Validate that sessionId is formatted like UUID before creating session.
+    try {
+      UUID.fromString(sessionId).toString
+    } catch {
+      case _: IllegalArgumentException =>
+        throw new SparkSQLException(
+          errorClass = "INVALID_HANDLE.FORMAT",
+          messageParameters = Map("handle" -> sessionId))
+    }
     userSessionMapping.get(
       (userId, sessionId),
       () => {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/ArtifactManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/ArtifactManagerSuite.scala
index 199290327cf89..fa3b7d52379c9 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/ArtifactManagerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/ArtifactManagerSuite.scala
@@ -18,6 +18,7 @@ package org.apache.spark.sql.connect.artifact
 
 import java.nio.charset.StandardCharsets
 import java.nio.file.{Files, Paths}
+import java.util.UUID
 
 import org.apache.commons.io.FileUtils
 
@@ -96,7 +97,8 @@ class ArtifactManagerSuite extends SharedSparkSession with ResourceHelper {
     val remotePath = Paths.get("classes/Hello.class")
     assert(stagingPath.toFile.exists())
 
-    val sessionHolder = SparkConnectService.getOrCreateIsolatedSession("c1", "session")
+    val sessionHolder =
+      SparkConnectService.getOrCreateIsolatedSession("c1", UUID.randomUUID.toString())
     sessionHolder.addArtifact(remotePath, stagingPath, None)
 
     val movedClassFile = SparkConnectArtifactManager.artifactRootPath
@@ -208,9 +210,11 @@ class ArtifactManagerSuite extends SharedSparkSession with ResourceHelper {
   }
 
   test("Classloaders for spark sessions are isolated") {
-    val holder1 = SparkConnectService.getOrCreateIsolatedSession("c1", "session1")
-    val holder2 = SparkConnectService.getOrCreateIsolatedSession("c2", "session2")
-    val holder3 = SparkConnectService.getOrCreateIsolatedSession("c3", "session3")
+    // use same sessionId - different users should still make it isolated.
+    val sessionId = UUID.randomUUID.toString()
+    val holder1 = SparkConnectService.getOrCreateIsolatedSession("c1", sessionId)
+    val holder2 = SparkConnectService.getOrCreateIsolatedSession("c2", sessionId)
+    val holder3 = SparkConnectService.getOrCreateIsolatedSession("c3", sessionId)
 
     def addHelloClass(holder: SessionHolder): Unit = {
       val copyDir = Utils.createTempDir().toPath
@@ -267,7 +271,8 @@ class ArtifactManagerSuite extends SharedSparkSession with ResourceHelper {
     val stagingPath = copyDir.resolve("Hello.class")
     val remotePath = Paths.get("classes/Hello.class")
 
-    val sessionHolder = SparkConnectService.getOrCreateIsolatedSession("c1", "session")
+    val sessionHolder =
+      SparkConnectService.getOrCreateIsolatedSession("c1", UUID.randomUUID.toString)
     sessionHolder.addArtifact(remotePath, stagingPath, None)
 
     val sessionDirectory =
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index d820e65a6851c..c29a9b9b62958 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -167,6 +167,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
         .newBuilder()
         .setPlan(plan)
         .setUserContext(context)
+        .setSessionId(UUID.randomUUID.toString())
         .build()
 
       // Execute plan.
@@ -334,7 +335,8 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
                 .setCommand(ByteString.copyFrom("command".getBytes()))
                 .setPythonVer("3.10")
                 .build())))) { command =>
-    withCommandTest { verifyEvents =>
+    val sessionId = UUID.randomUUID.toString()
+    withCommandTest(sessionId) { verifyEvents =>
       val instance = new SparkConnectService(false)
       val context = proto.UserContext
         .newBuilder()
@@ -348,7 +350,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
       val request = proto.ExecutePlanRequest
         .newBuilder()
         .setPlan(plan)
-        .setSessionId("s1")
+        .setSessionId(sessionId)
         .setUserContext(context)
         .build()
 
@@ -393,11 +395,12 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
   }
 
   test("SPARK-43923: canceled request send events") {
+    val sessionId = UUID.randomUUID.toString
     withEvents { verifyEvents =>
       val instance = new SparkConnectService(false)
 
       // Add an always crashing UDF
-      val session = SparkConnectService.getOrCreateIsolatedSession("c1", "session").session
+      val session = SparkConnectService.getOrCreateIsolatedSession("c1", sessionId).session
       val sleep: Long => Long = { time =>
         Thread.sleep(time)
         time
@@ -417,7 +420,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
         .newBuilder()
         .setPlan(plan)
         .setUserContext(context)
-        .setSessionId("session")
+        .setSessionId(sessionId)
         .build()
 
       val thread = new Thread {
@@ -426,7 +429,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
           instance.interrupt(
             proto.InterruptRequest
               .newBuilder()
-              .setSessionId("session")
+              .setSessionId(sessionId)
               .setUserContext(context)
               .setInterruptType(proto.InterruptRequest.InterruptType.INTERRUPT_TYPE_ALL)
               .build(),
@@ -463,11 +466,12 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
   }
 
   test("SPARK-41165: failures in the arrow collect path should not cause hangs") {
+    val sessionId = UUID.randomUUID.toString
     withEvents { verifyEvents =>
       val instance = new SparkConnectService(false)
 
       // Add an always crashing UDF
-      val session = SparkConnectService.getOrCreateIsolatedSession("c1", "session").session
+      val session = SparkConnectService.getOrCreateIsolatedSession("c1", sessionId).session
       val instaKill: Long => Long = { _ =>
         throw new Exception("Kaboom")
       }
@@ -486,7 +490,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
         .newBuilder()
         .setPlan(plan)
         .setUserContext(context)
-        .setSessionId("session")
+        .setSessionId(sessionId)
         .build()
 
       // The observer is executed inside this thread. So
@@ -599,6 +603,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
         .newBuilder()
         .setPlan(plan)
         .setUserContext(context)
+        .setSessionId(UUID.randomUUID.toString())
         .build()
 
       // Execute plan.
@@ -637,7 +642,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
     }
   }
 
-  protected def withCommandTest(f: VerifyEvents => Unit): Unit = {
+  protected def withCommandTest(sessionId: String)(f: VerifyEvents => Unit): Unit = {
     withView("testview") {
       withTable("testcat.testtable") {
         withSparkConf(
@@ -649,7 +654,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
             when(restartedQuery.id).thenReturn(DEFAULT_UUID)
             when(restartedQuery.runId).thenReturn(DEFAULT_UUID)
             SparkConnectService.streamingSessionManager.registerNewStreamingQuery(
-              SparkConnectService.getOrCreateIsolatedSession("c1", "s1"),
+              SparkConnectService.getOrCreateIsolatedSession("c1", sessionId),
               restartedQuery)
             f(verifyEvents)
           }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/AddArtifactsHandlerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/AddArtifactsHandlerSuite.scala
index f11c9b2969e52..2e199bff5e7dc 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/AddArtifactsHandlerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/AddArtifactsHandlerSuite.scala
@@ -18,6 +18,7 @@ package org.apache.spark.sql.connect.service
 
 import java.io.InputStream
 import java.nio.file.{Files, Path}
+import java.util.UUID
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable
@@ -37,6 +38,8 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
   private val CHUNK_SIZE: Int = 32 * 1024
 
+  private val sessionId = UUID.randomUUID.toString()
+
   class DummyStreamObserver(p: Promise[AddArtifactsResponse])
       extends StreamObserver[AddArtifactsResponse] {
     override def onNext(v: AddArtifactsResponse): Unit = p.success(v)
@@ -125,7 +128,7 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
     val singleChunkArtifactRequest = AddArtifactsRequest
       .newBuilder()
-      .setSessionId("abc")
+      .setSessionId(sessionId)
       .setUserContext(context)
       .setBatch(
         proto.AddArtifactsRequest.Batch.newBuilder().addArtifacts(singleChunkArtifact).build())
@@ -168,7 +171,7 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
     val requestBuilder = AddArtifactsRequest
       .newBuilder()
-      .setSessionId("abc")
+      .setSessionId(sessionId)
       .setUserContext(context)
       .setBeginChunk(beginChunkedArtifact)
 
@@ -295,7 +298,7 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
       val singleChunkArtifactRequest = AddArtifactsRequest
         .newBuilder()
-        .setSessionId("abc")
+        .setSessionId(sessionId)
         .setUserContext(context)
         .setBatch(
           proto.AddArtifactsRequest.Batch.newBuilder().addArtifacts(singleChunkArtifact).build())
@@ -336,7 +339,7 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
     val singleChunkArtifactRequest = AddArtifactsRequest
       .newBuilder()
-      .setSessionId("abc")
+      .setSessionId(sessionId)
       .setUserContext(context)
       .setBatch(
         proto.AddArtifactsRequest.Batch.newBuilder().addArtifacts(singleChunkArtifact).build())
@@ -353,7 +356,7 @@ class AddArtifactsHandlerSuite extends SharedSparkSession with ResourceHelper {
 
     val beginChunkArtifactRequest = AddArtifactsRequest
       .newBuilder()
-      .setSessionId("abc")
+      .setSessionId(sessionId)
       .setUserContext(context)
       .setBeginChunk(beginChunkedArtifact)
       .build()
diff --git a/python/pyspark/sql/connect/proto/base_pb2.pyi b/python/pyspark/sql/connect/proto/base_pb2.pyi
index 651438ea4385d..6059d38bd1953 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/base_pb2.pyi
@@ -499,6 +499,7 @@ class AnalyzePlanRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:
@@ -1042,6 +1043,7 @@ class ExecutePlanRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:
@@ -1722,6 +1724,7 @@ class ConfigRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:
@@ -1961,6 +1964,7 @@ class AddArtifactsRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:
@@ -2112,6 +2116,7 @@ class ArtifactStatusesRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:
@@ -2278,6 +2283,7 @@ class InterruptRequest(google.protobuf.message.Message):
     The session_id specifies a spark session for a user id (which is specified
     by user_context.user_id). The session_id is set by the client to be able to
     collate streaming responses from different queries within the dedicated session.
+    The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
     @property
     def user_context(self) -> global___UserContext:

From 3c6971149dcad55de6aa5eeeff29cb54a07acb8f Mon Sep 17 00:00:00 2001
From: Mathew Jacob <mathew.jacob@databricks.com>
Date: Fri, 28 Jul 2023 09:14:45 +0900
Subject: [PATCH 079/986] [SPARK-44264][PYTHON] E2E Testing for Deepspeed

### What Changes Were Proposed
This PR adds some end to end tests for the DeepspeedTorchDistributor. Due to the lack of support currently available to deepspeed, we use proxy functions that are very simple to test that the command works. For the future, once Deepspeed supports more CPU, these end to end tests should instead migrate to more actual Deepspeed workloads, such as those described in the PR comments.

### Why Do We Need These Changes
Previously, we only had unit tests for helper functions. These test actual workloads that a user may use DeepspeedTorchDistributor from end to end.

### Any User Facing Changes
No, these are end to end tests.

### How Was This Tested
Running the tests and seeing if they pass.

Closes #42118 from mathewjacob1002/gpu_e2e_tests.

Authored-by: Mathew Jacob <mathew.jacob@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9ae33b82d78d65f58acb253c0b710b5807f9912d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/requirements.txt                          |   3 +
 dev/tox.ini                                   |   1 +
 python/mypy.ini                               |   3 +
 .../tests/test_deepspeed_distributor.py       | 134 +++++++++++++++++-
 4 files changed, 139 insertions(+), 2 deletions(-)

diff --git a/dev/requirements.txt b/dev/requirements.txt
index f5fe5fa071fc4..38a9b2447108c 100644
--- a/dev/requirements.txt
+++ b/dev/requirements.txt
@@ -65,3 +65,6 @@ torch
 torchvision
 torcheval
 
+# DeepspeedTorchDistributor dependencies
+deepspeed
+
diff --git a/dev/tox.ini b/dev/tox.ini
index e2a77786ed4cc..438f82fec1ed7 100644
--- a/dev/tox.ini
+++ b/dev/tox.ini
@@ -46,6 +46,7 @@ exclude =
     */target/*,
     docs/.local_ruby_bundle/,
     *python/pyspark/cloudpickle/*.py,
+    *python/pyspark/ml/deepspeed/tests/*.py
     *python/docs/build/*,
     *python/docs/source/conf.py,
     *python/.eggs/*,
diff --git a/python/mypy.ini b/python/mypy.ini
index a845cd88bd84f..4d1fc3ceb668e 100644
--- a/python/mypy.ini
+++ b/python/mypy.ini
@@ -88,6 +88,9 @@ ignore_errors = True
 [mypy-pyspark.ml.torch.tests.*]
 ignore_errors = True
 
+[mypy-pyspark.ml.deepspeed.tests.*]
+ignore_errors = True
+
 [mypy-pyspark.mllib.tests.*]
 ignore_errors = True
 
diff --git a/python/pyspark/ml/deepspeed/tests/test_deepspeed_distributor.py b/python/pyspark/ml/deepspeed/tests/test_deepspeed_distributor.py
index 4c4606699a37e..590e541c3842a 100644
--- a/python/pyspark/ml/deepspeed/tests/test_deepspeed_distributor.py
+++ b/python/pyspark/ml/deepspeed/tests/test_deepspeed_distributor.py
@@ -1,4 +1,4 @@
-#
+# mypy: ignore-errors
 # Licensed to the Apache Software Foundation (ASF) under one or more
 # contributor license agreements.  See the NOTICE file distributed with
 # this work for additional information regarding copyright ownership.
@@ -14,12 +14,28 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from contextlib import contextmanager
 import os
+import shutil
 import sys
-from typing import Any, Tuple, Dict
+import textwrap
+from typing import Any, Callable, Dict, Tuple
 import unittest
 
+from pyspark import SparkConf, SparkContext
 from pyspark.ml.deepspeed.deepspeed_distributor import DeepspeedTorchDistributor
+from pyspark.sql import SparkSession
+from pyspark.ml.torch.tests.test_distributor import (
+    get_local_mode_conf,
+    set_up_test_dirs,
+    get_distributed_mode_conf,
+)
+
+have_deepspeed = True
+try:
+    import deepspeed  # noqa: F401
+except ImportError:
+    have_deepspeed = False
 
 
 class DeepspeedTorchDistributorUnitTests(unittest.TestCase):
@@ -164,6 +180,120 @@ def test_create_torchrun_command_distributed(self) -> None:
             self.assertEqual(distributed_cmd_args_expected, distributed_command_with_args)
 
 
+def _create_basic_function() -> Callable:
+    # TODO: swap out with better test function
+    # once Deepspeed better supports CPU
+    def pythagoras(leg1: float, leg2: float) -> float:
+        import deepspeed
+
+        print(deepspeed.__version__)
+        return (leg1 * leg1 + leg2 * leg2) ** 0.5
+
+    return pythagoras
+
+
+@contextmanager
+def _create_pytorch_training_test_file():
+    # Note: when Deepspeed CPU support becomes better,
+    # switch in more realistic training files using Deepspeed
+    # optimizations + constructs
+    str_to_write = textwrap.dedent(
+        """ 
+            import sys
+            def pythagorean_thm(x : int, y: int): # type: ignore 
+                import deepspeed # type: ignore
+                return (x*x + y*y)**0.5 # type: ignore
+            print(pythagorean_thm(int(sys.argv[1]), int(sys.argv[2])))"""
+    )
+    cp_path = "/tmp/test_deepspeed_training_file.py"
+    with open(cp_path, "w") as f:
+        f.write(str_to_write)
+    yield cp_path
+    os.remove(cp_path)
+
+
+# The program and function that we use in the end-to-end tests
+# is very simple because in the Spark CI we only have access
+# to CPUs and at this point in time, CPU support is limited
+# in Deepspeed. Once Deepspeed better supports CPU training
+# and inference, the hope is to switch out the training
+# and file for the tests with more realistic testing
+# that use Deepspeed constructs.
+@unittest.skipIf(not have_deepspeed, "deepspeed is required for these tests")
+class DeepspeedTorchDistributorDistributedEndToEnd(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls) -> None:
+        (cls.gpu_discovery_script_file_name, cls.mnist_dir_path) = set_up_test_dirs()  # noqa
+        # "loadDefaults" is set to False because if not, the SparkConf will
+        # use contain configurations from the LocalEndToEnd test,
+        # which causes the test to break.
+        conf = SparkConf(loadDefaults=False)
+        for k, v in get_distributed_mode_conf().items():
+            conf = conf.set(k, v)
+        conf = conf.set(
+            "spark.worker.resource.gpu.discoveryScript", cls.gpu_discovery_script_file_name
+        )
+        sc = SparkContext("local-cluster[2,2,512]", cls.__name__, conf=conf)
+        cls.spark = SparkSession(sc)
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        shutil.rmtree(cls.mnist_dir_path)
+        os.unlink(cls.gpu_discovery_script_file_name)
+        cls.spark.stop()
+
+    def test_simple_function_e2e(self) -> None:
+        train_fn = _create_basic_function()
+        # Arguments for the pythagoras function train_fn
+        x = 3
+        y = 4
+        dist = DeepspeedTorchDistributor(numGpus=2, useGpu=False, localMode=False)
+        output = dist.run(train_fn, x, y)
+        self.assertEqual(output, 5)
+
+    def test_pytorch_file_e2e(self) -> None:
+        # TODO: change to better test script
+        # once Deepspeed CPU support is better
+        with _create_pytorch_training_test_file() as cp_path:
+            dist = DeepspeedTorchDistributor(numGpus=True, useGpu=False, localMode=False)
+            dist.run(cp_path, 2, 5)
+
+
+@unittest.skipIf(not have_deepspeed, "deepspeed is required for these tests")
+class DeepspeedDistributorLocalEndToEndTests(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.gpu_discovery_script_file_name, cls.mnist_dir_path = set_up_test_dirs()  # noqa
+        conf = SparkConf()
+        for k, v in get_local_mode_conf().items():
+            conf = conf.set(k, v)
+        conf = conf.set(
+            "spark.driver.resource.gpu.discoveryScript", cls.gpu_discovery_script_file_name
+        )
+        sc = SparkContext("local-cluster[2,2,512]", cls.__name__, conf=conf)
+        cls.spark = SparkSession(sc)
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        shutil.rmtree(cls.mnist_dir_path)
+        os.unlink(cls.gpu_discovery_script_file_name)
+        cls.spark.stop()
+
+    def test_simple_function_e2e(self) -> None:
+        train_fn = _create_basic_function()
+        # Arguments for the pythagoras function train_fn
+        x = 3
+        y = 4
+        dist = DeepspeedTorchDistributor(numGpus=2, useGpu=False, localMode=True)
+        output = dist.run(train_fn, x, y)
+        self.assertEqual(output, 5)
+
+    def test_pytorch_file_e2e(self) -> None:
+        with _create_pytorch_training_test_file() as path_to_train_file:
+            dist = DeepspeedTorchDistributor(numGpus=2, useGpu=False, localMode=True)
+            dist.run(path_to_train_file, 2, 5)
+
+
 if __name__ == "__main__":
     from pyspark.ml.deepspeed.tests.test_deepspeed_distributor import *  # noqa: F401,F403
 

From 4f90c3232cabd8bef05f46fc863d7a8f1f968ee4 Mon Sep 17 00:00:00 2001
From: Alice Sayutina <alice.sayutina@databricks.com>
Date: Fri, 28 Jul 2023 11:34:16 +0900
Subject: [PATCH 080/986] [SPARK-44558][CONNECT][PYTHON] Export Spark Log Level

### What changes were proposed in this pull request?

Export Spark Connect Log Level in pyspark.

### Why are the changes needed?

This is convenient for software dependent on spark-connect so it can be possible to enable debug logging just in one place.

### Does this PR introduce _any_ user-facing change?

New api is suggested.

### How was this patch tested?

Checked it works from shell

Closes #42175 from cdkrot/spark_connect_debug_logs.

Lead-authored-by: Alice Sayutina <alice.sayutina@databricks.com>
Co-authored-by: Alice Sayutina <cdkrot0@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9c7f613f0f10f4ee90bb29920157a32017696a43)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 482482123c058..53d3d10d6477b 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -17,6 +17,7 @@
 __all__ = [
     "ChannelBuilder",
     "SparkConnectClient",
+    "getLogLevel",
 ]
 
 from pyspark.sql.connect.utils import check_dependencies
@@ -104,7 +105,7 @@ def _configure_logging() -> logging.Logger:
 
     # Check the environment variables for log levels:
     if "SPARK_CONNECT_LOG_LEVEL" in os.environ:
-        logger.setLevel(os.getenv("SPARK_CONNECT_LOG_LEVEL", "error").upper())
+        logger.setLevel(os.environ["SPARK_CONNECT_LOG_LEVEL"].upper())
     else:
         logger.disabled = True
     return logger
@@ -114,6 +115,20 @@ def _configure_logging() -> logging.Logger:
 logger = _configure_logging()
 
 
+def getLogLevel() -> Optional[int]:
+    """
+    This returns this log level as integer, or none (if no logging is enabled).
+
+    Spark Connect logging can be configured with environment variable 'SPARK_CONNECT_LOG_LEVEL'
+
+    .. versionadded:: 3.5.0
+    """
+
+    if not logger.disabled:
+        return logger.level
+    return None
+
+
 class ChannelBuilder:
     """
     This is a helper class that is used to create a GRPC channel based on the given

From 4f7187885a6c6a0c944af97a493a42dabca3cc1b Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 28 Jul 2023 11:36:59 +0800
Subject: [PATCH 081/986] [SPARK-44287][SQL][FOLLOWUP] Set partition index
 correctly

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41839, to set the partition index correctly even if it's not used for now. It also contains a few code cleanup.

### Why are the changes needed?

future-proof

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

Closes #42185 from cloud-fan/follow.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit bf1bbc514ebf25fd8041f566dc9d13593c307931)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/execution/Columnar.scala | 41 +++++-------
 .../sql/SparkSessionExtensionSuite.scala      | 64 +++++++++----------
 .../spark/sql/execution/SparkPlanSuite.scala  | 26 ++++----
 3 files changed, 57 insertions(+), 74 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
index a2029816c231f..fc879f7e98f15 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
@@ -85,20 +85,16 @@ case class ColumnarToRowExec(child: SparkPlan) extends ColumnarToRowTransition w
   )
 
   override def doExecute(): RDD[InternalRow] = {
-    val numOutputRows = longMetric("numOutputRows")
-    val numInputBatches = longMetric("numInputBatches")
-    val evaluatorFactory =
-      new ColumnarToRowEvaluatorFactory(
-        child.output,
-        numOutputRows,
-        numInputBatches)
-
+    val evaluatorFactory = new ColumnarToRowEvaluatorFactory(
+      child.output,
+      longMetric("numOutputRows"),
+      longMetric("numInputBatches"))
     if (conf.usePartitionEvaluator) {
       child.executeColumnar().mapPartitionsWithEvaluator(evaluatorFactory)
     } else {
-      child.executeColumnar().mapPartitionsInternal { batches =>
+      child.executeColumnar().mapPartitionsWithIndexInternal { (index, batches) =>
         val evaluator = evaluatorFactory.createEvaluator()
-        evaluator.eval(0, batches)
+        evaluator.eval(index, batches)
       }
     }
   }
@@ -454,25 +450,20 @@ case class RowToColumnarExec(child: SparkPlan) extends RowToColumnarTransition {
   )
 
   override def doExecuteColumnar(): RDD[ColumnarBatch] = {
-    val numInputRows = longMetric("numInputRows")
-    val numOutputBatches = longMetric("numOutputBatches")
-    // Instead of creating a new config we are reusing columnBatchSize. In the future if we do
-    // combine with some of the Arrow conversion tools we will need to unify some of the configs.
-    val numRows = conf.columnBatchSize
-    val evaluatorFactory =
-      new RowToColumnarEvaluatorFactory(
-        conf.offHeapColumnVectorEnabled,
-        numRows,
-        schema,
-        numInputRows,
-        numOutputBatches)
-
+    val evaluatorFactory = new RowToColumnarEvaluatorFactory(
+      conf.offHeapColumnVectorEnabled,
+      // Instead of creating a new config we are reusing columnBatchSize. In the future if we do
+      // combine with some of the Arrow conversion tools we will need to unify some of the configs.
+      conf.columnBatchSize,
+      schema,
+      longMetric("numInputRows"),
+      longMetric("numOutputBatches"))
     if (conf.usePartitionEvaluator) {
       child.execute().mapPartitionsWithEvaluator(evaluatorFactory)
     } else {
-      child.execute().mapPartitionsInternal { rowIterator =>
+      child.execute().mapPartitionsWithIndexInternal { (index, rowIterator) =>
         val evaluator = evaluatorFactory.createEvaluator()
-        evaluator.eval(0, rowIterator)
+        evaluator.eval(index, rowIterator)
       }
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
index 043a3b1a7e58f..d4a871c00a14a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
@@ -279,40 +279,36 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper {
     }
     withSession(extensions) { session =>
       session.conf.set(SQLConf.ADAPTIVE_EXECUTION_ENABLED, enableAQE)
-      Seq(true, false).foreach { enableEvaluator =>
-        withSQLConf(SQLConf.USE_PARTITION_EVALUATOR.key -> enableEvaluator.toString) {
-          assert(session.sessionState.columnarRules.contains(
-            MyColumnarRule(PreRuleReplaceAddWithBrokenVersion(), MyPostRule())))
-          import session.sqlContext.implicits._
-          // perform a join to inject a broadcast exchange
-          val left = Seq((1, 50L), (2, 100L), (3, 150L)).toDF("l1", "l2")
-          val right = Seq((1, 50L), (2, 100L), (3, 150L)).toDF("r1", "r2")
-          val data = left.join(right, $"l1" === $"r1")
-            // repartitioning avoids having the add operation pushed up into the LocalTableScan
-            .repartition(1)
-          val df = data.selectExpr("l2 + r2")
-          // execute the plan so that the final adaptive plan is available when AQE is on
-          df.collect()
-          val found = collectPlanSteps(df.queryExecution.executedPlan).sum
-          // 1 MyBroadcastExchangeExec
-          // 1 MyShuffleExchangeExec
-          // 1 ColumnarToRowExec
-          // 2 ColumnarProjectExec
-          // 1 ReplacedRowToColumnarExec
-          // so 11121 is expected.
-          assert(found == 11121)
-
-          // Verify that we get back the expected, wrong, result
-          val result = df.collect()
-          assert(result(0).getLong(0) == 101L) // Check that broken columnar Add was used.
-          assert(result(1).getLong(0) == 201L)
-          assert(result(2).getLong(0) == 301L)
-
-          withTempPath { path =>
-            val e = intercept[Exception](df.write.parquet(path.getCanonicalPath))
-            assert(e.getMessage == "columnar write")
-          }
-        }
+      assert(session.sessionState.columnarRules.contains(
+        MyColumnarRule(PreRuleReplaceAddWithBrokenVersion(), MyPostRule())))
+      import session.sqlContext.implicits._
+      // perform a join to inject a broadcast exchange
+      val left = Seq((1, 50L), (2, 100L), (3, 150L)).toDF("l1", "l2")
+      val right = Seq((1, 50L), (2, 100L), (3, 150L)).toDF("r1", "r2")
+      val data = left.join(right, $"l1" === $"r1")
+        // repartitioning avoids having the add operation pushed up into the LocalTableScan
+        .repartition(1)
+      val df = data.selectExpr("l2 + r2")
+      // execute the plan so that the final adaptive plan is available when AQE is on
+      df.collect()
+      val found = collectPlanSteps(df.queryExecution.executedPlan).sum
+      // 1 MyBroadcastExchangeExec
+      // 1 MyShuffleExchangeExec
+      // 1 ColumnarToRowExec
+      // 2 ColumnarProjectExec
+      // 1 ReplacedRowToColumnarExec
+      // so 11121 is expected.
+      assert(found == 11121)
+
+      // Verify that we get back the expected, wrong, result
+      val result = df.collect()
+      assert(result(0).getLong(0) == 101L) // Check that broken columnar Add was used.
+      assert(result(1).getLong(0) == 201L)
+      assert(result(2).getLong(0) == 301L)
+
+      withTempPath { path =>
+        val e = intercept[Exception](df.write.parquet(path.getCanonicalPath))
+        assert(e.getMessage == "columnar write")
       }
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
index b97837fb97389..b14f4a405f6c3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
@@ -127,22 +127,18 @@ class SparkPlanSuite extends QueryTest with SharedSparkSession {
 
   test("SPARK-37779: ColumnarToRowExec should be canonicalizable after being (de)serialized") {
     withSQLConf(SQLConf.USE_V1_SOURCE_LIST.key -> "parquet") {
-      Seq(true, false).foreach { enable =>
-        withSQLConf(SQLConf.USE_PARTITION_EVALUATOR.key -> enable.toString) {
-          withTempPath { path =>
-            spark.range(1).write.parquet(path.getAbsolutePath)
-            val df = spark.read.parquet(path.getAbsolutePath)
-            val columnarToRowExec =
-              df.queryExecution.executedPlan.collectFirst { case p: ColumnarToRowExec => p }.get
-            try {
-              spark.range(1).foreach { _ =>
-                columnarToRowExec.canonicalized
-                ()
-              }
-            } catch {
-              case e: Throwable => fail("ColumnarToRowExec was not canonicalizable", e)
-            }
+      withTempPath { path =>
+        spark.range(1).write.parquet(path.getAbsolutePath)
+        val df = spark.read.parquet(path.getAbsolutePath)
+        val columnarToRowExec =
+          df.queryExecution.executedPlan.collectFirst { case p: ColumnarToRowExec => p }.get
+        try {
+          spark.range(1).foreach { _ =>
+            columnarToRowExec.canonicalized
+            ()
           }
+        } catch {
+          case e: Throwable => fail("ColumnarToRowExec was not canonicalizable", e)
         }
       }
     }

From 81d56603b30375790ca0203ed877d5bcf0924c77 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Fri, 28 Jul 2023 12:44:02 +0800
Subject: [PATCH 082/986] [SPARK-42098][SQL] Fix ResolveInlineTables can not
 handle with RuntimeReplaceable expression

### What changes were proposed in this pull request?
Fix `ResolveInlineTables` can not handle with `RuntimeReplaceable` expression
eg:
```sql
select * from values (try_add(5, 0))
```
The error will throw:
```java
[INVALID_INLINE_TABLE.CANNOT_EVALUATE_EXPRESSION_IN_INLINE_TABLE] Invalid inline table. Cannot evaluate the expression "try_add(5, 0)" in inline table definition.; line 1 pos 22
```

### Why are the changes needed?
Fix the bug ResolveInlineTables can not handle with RuntimeReplaceable expression

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
add new test.

Closes #42110 from Hisoka-X/SPARK-42098_inline_table_replaceable.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f235c9f622ddeb4c6a5cce8903130709dcd2217c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveInlineTables.scala        |  6 +++--
 .../analyzer-results/inline-table.sql.out     | 21 ++++++++++++++++
 .../sql-tests/inputs/inline-table.sql         |  5 ++++
 .../sql-tests/results/inline-table.sql.out    | 24 +++++++++++++++++++
 4 files changed, 54 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
index cf706171cd9f9..c203f9fa39df8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
@@ -21,6 +21,7 @@ import scala.util.control.NonFatal
 
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.AliasHelper
+import org.apache.spark.sql.catalyst.optimizer.ReplaceExpressions
 import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.AlwaysProcess
@@ -36,8 +37,9 @@ object ResolveInlineTables extends Rule[LogicalPlan] with CastSupport with Alias
     AlwaysProcess.fn, ruleId) {
     case table: UnresolvedInlineTable if table.expressionsResolved =>
       validateInputDimension(table)
-      validateInputEvaluable(table)
-      convert(table)
+      val newTable = ReplaceExpressions(table).asInstanceOf[UnresolvedInlineTable]
+      validateInputEvaluable(newTable)
+      convert(newTable)
   }
 
   /**
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
index f3e6eb4d8dc73..2a17f092a06b7 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
@@ -220,3 +220,24 @@ select * from values (timestamp('1991-12-06 00:00:00.0'), array(timestamp('1991-
 Project [a#x, b#x]
 +- SubqueryAlias data
    +- LocalRelation [a#x, b#x]
+
+
+-- !query
+select * from values (try_add(5, 0))
+-- !query analysis
+Project [col1#x]
++- LocalRelation [col1#x]
+
+
+-- !query
+select * from values (try_divide(5, 0))
+-- !query analysis
+Project [col1#x]
++- LocalRelation [col1#x]
+
+
+-- !query
+select * from values (10 + try_divide(5, 0))
+-- !query analysis
+Project [col1#x]
++- LocalRelation [col1#x]
diff --git a/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql b/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
index fd8bb2d837d97..6867248f5765d 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
@@ -55,3 +55,8 @@ select * from values ("one", count(1)), ("two", 2) as data(a, b);
 
 -- string to timestamp
 select * from values (timestamp('1991-12-06 00:00:00.0'), array(timestamp('1991-12-06 01:00:00.0'), timestamp('1991-12-06 12:00:00.0'))) as data(a, b);
+
+-- ReplaceExpressions as row
+select * from values (try_add(5, 0));
+select * from values (try_divide(5, 0));
+select * from values (10 + try_divide(5, 0));
diff --git a/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out b/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
index e735dd0dd5a94..709d7ab73f6c4 100644
--- a/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
@@ -242,3 +242,27 @@ select * from values (timestamp('1991-12-06 00:00:00.0'), array(timestamp('1991-
 struct<a:timestamp,b:array<timestamp>>
 -- !query output
 1991-12-06 00:00:00	[1991-12-06 01:00:00,1991-12-06 12:00:00]
+
+
+-- !query
+select * from values (try_add(5, 0))
+-- !query schema
+struct<col1:int>
+-- !query output
+5
+
+
+-- !query
+select * from values (try_divide(5, 0))
+-- !query schema
+struct<col1:double>
+-- !query output
+NULL
+
+
+-- !query
+select * from values (10 + try_divide(5, 0))
+-- !query schema
+struct<col1:double>
+-- !query output
+NULL

From 75679f72173a507faf94353d37a6d223ff23c9b4 Mon Sep 17 00:00:00 2001
From: Vinod KC <vinod.kc.in@gmail.com>
Date: Fri, 28 Jul 2023 12:49:13 +0800
Subject: [PATCH 083/986] [SPARK-44361][SQL][FOLLOWUP] Use PartitionEvaluator
 API in MapInBatchExec

### What changes were proposed in this pull request?
This is a follow-up of https://github.com/apache/spark/pull/42024, to set the partition index correctly even if it's not used for now.

### Why are the changes needed?
future-proof

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

existing tests

Closes #42189 from vinodkc/br_SPARK-44361_Followup.

Authored-by: Vinod KC <vinod.kc.in@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 3cf88cb6c42e802fc4828c397df61623663be9b0)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/execution/python/MapInBatchExec.scala       | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
index 4a47c2089d68f..8db389f02667a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchExec.scala
@@ -65,8 +65,8 @@ trait MapInBatchExec extends UnaryExecNode with PythonSQLMetrics {
       if (conf.usePartitionEvaluator) {
         rddBarrier.mapPartitionsWithEvaluator(evaluatorFactory)
       } else {
-        rddBarrier.mapPartitions { iter =>
-          evaluatorFactory.createEvaluator().eval(0, iter)
+        rddBarrier.mapPartitionsWithIndex { (index, iter) =>
+          evaluatorFactory.createEvaluator().eval(index, iter)
         }
       }
     } else {
@@ -74,8 +74,8 @@ trait MapInBatchExec extends UnaryExecNode with PythonSQLMetrics {
       if (conf.usePartitionEvaluator) {
         inputRdd.mapPartitionsWithEvaluator(evaluatorFactory)
       } else {
-        inputRdd.mapPartitionsInternal { iter =>
-          evaluatorFactory.createEvaluator().eval(0, iter)
+        inputRdd.mapPartitionsWithIndexInternal { (index, iter) =>
+          evaluatorFactory.createEvaluator().eval(index, iter)
         }
       }
     }

From 2155a96a662a4bbe9e2bf0721b7159d1ef24a5da Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Fri, 28 Jul 2023 14:41:43 +0900
Subject: [PATCH 084/986] [SPARK-44548][PYTHON] Add support for pandas-on-Spark
 DataFrame assertDataFrameEqual

### What changes were proposed in this pull request?
This PR adds support for pandas-on-Spark DataFrame for the testing util, `assertDataFrameEqual`

### Why are the changes needed?
The change allows users to call the same PySpark API for both Spark and pandas DataFrames.

### Does this PR introduce _any_ user-facing change?
Yes, the PR affects the user-facing util `assertDataFrameEqual`

### How was this patch tested?
Added tests to `python/pyspark/sql/tests/test_utils.py` and `python/pyspark/sql/tests/connect/test_utils.py` and existing pandas util tests.

Closes #42158 from asl3/pandas-or-pyspark-df.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 7c1ad5bb60c88c1c659c131e5119aab1f8212af5)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/sparktestsupport/modules.py               |   1 +
 .../docs/source/reference/pyspark.testing.rst |   1 +
 python/pyspark/errors/error_classes.py        |  42 ++
 python/pyspark/pandas/tests/test_utils.py     | 171 +++++-
 python/pyspark/sql/tests/test_utils.py        |  60 ++-
 python/pyspark/testing/__init__.py            |   4 +-
 python/pyspark/testing/pandasutils.py         | 506 +++++++++++++-----
 python/pyspark/testing/utils.py               |  82 ++-
 8 files changed, 689 insertions(+), 178 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 3cfd82c3d3117..79c3f8f26b1b7 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -514,6 +514,7 @@ def __hash__(self):
     python_test_goals=[
         # doctests
         "pyspark.testing.utils",
+        "pyspark.testing.pandasutils",
     ],
 )
 
diff --git a/python/docs/source/reference/pyspark.testing.rst b/python/docs/source/reference/pyspark.testing.rst
index 7a6b6cc0d70ab..96b0c72a7bb4b 100644
--- a/python/docs/source/reference/pyspark.testing.rst
+++ b/python/docs/source/reference/pyspark.testing.rst
@@ -26,4 +26,5 @@ Testing
     :toctree: api/
 
     assertDataFrameEqual
+    assertPandasOnSparkEqual
     assertSchemaEqual
diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index e45bc0797c95b..b1bf6b47af9ab 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -164,6 +164,42 @@
       "Remote client cannot create a SparkContext. Create SparkSession instead."
     ]
   },
+  "DIFFERENT_PANDAS_DATAFRAME" : {
+    "message" : [
+      "DataFrames are not almost equal:",
+      "Left: <left>",
+      "<left_dtype>",
+      "Right: <right>",
+      "<right_dtype>"
+    ]
+  },
+  "DIFFERENT_PANDAS_INDEX" : {
+    "message" : [
+      "Indices are not almost equal:",
+      "Left: <left>",
+      "<left_dtype>",
+      "Right: <right>",
+      "<right_dtype>"
+    ]
+  },
+  "DIFFERENT_PANDAS_MULTIINDEX" : {
+    "message" : [
+      "MultiIndices are not almost equal:",
+      "Left: <left>",
+      "<left_dtype>",
+      "Right: <right>",
+      "<right_dtype>"
+    ]
+  },
+  "DIFFERENT_PANDAS_SERIES" : {
+    "message" : [
+      "Series are not almost equal:",
+      "Left: <left>",
+      "<left_dtype>",
+      "Right: <right>",
+      "<right_dtype>"
+    ]
+  },
   "DIFFERENT_ROWS" : {
     "message" : [
       "<error_msg>"
@@ -233,6 +269,12 @@
       "NumPy array input should be of <dimensions> dimensions."
     ]
   },
+  "INVALID_PANDAS_ON_SPARK_COMPARISON" : {
+    "message" : [
+      "Expected two pandas-on-Spark DataFrames",
+      "but got actual: <actual_type> and expected: <expected_type>"
+    ]
+  },
   "INVALID_PANDAS_UDF" : {
     "message" : [
       "Invalid function: <detail>"
diff --git a/python/pyspark/pandas/tests/test_utils.py b/python/pyspark/pandas/tests/test_utils.py
index 35ebcf17a0f72..de7b0449daefc 100644
--- a/python/pyspark/pandas/tests/test_utils.py
+++ b/python/pyspark/pandas/tests/test_utils.py
@@ -16,6 +16,7 @@
 #
 
 import pandas as pd
+from typing import Union
 
 from pyspark.pandas.indexes.base import Index
 from pyspark.pandas.utils import (
@@ -25,8 +26,14 @@
     validate_index_loc,
     validate_mode,
 )
-from pyspark.testing.pandasutils import PandasOnSparkTestCase
+from pyspark.testing.pandasutils import (
+    PandasOnSparkTestCase,
+    assertPandasOnSparkEqual,
+    _assert_pandas_equal,
+    _assert_pandas_almost_equal,
+)
 from pyspark.testing.sqlutils import SQLTestUtils
+from pyspark.errors import PySparkAssertionError
 
 some_global_variable = 0
 
@@ -105,6 +112,168 @@ def test_validate_index_loc(self):
         with self.assertRaisesRegex(IndexError, err_msg):
             validate_index_loc(psidx, -4)
 
+    def test_assert_df_assertPandasOnSparkEqual(self):
+        import pyspark.pandas as ps
+
+        psdf1 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
+        psdf2 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
+
+        assertPandasOnSparkEqual(psdf1, psdf2, checkRowOrder=False)
+        assertPandasOnSparkEqual(psdf1, psdf2, checkRowOrder=True)
+
+    def test_assertPandasOnSparkEqual_ignoreOrder_default(self):
+        import pyspark.pandas as ps
+
+        psdf1 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
+        psdf2 = ps.DataFrame({"a": [2, 1, 3], "b": [5, 4, 6], "c": [8, 7, 9]})
+
+        assertPandasOnSparkEqual(psdf1, psdf2)
+
+    def test_assert_series_assertPandasOnSparkEqual(self):
+        import pyspark.pandas as ps
+
+        s1 = ps.Series([212.32, 100.0001])
+        s2 = ps.Series([212.32, 100.0001])
+
+        assertPandasOnSparkEqual(s1, s2, checkExact=False)
+
+    def test_assert_index_assertPandasOnSparkEqual(self):
+        import pyspark.pandas as ps
+
+        s1 = ps.Index([212.300001, 100.000])
+        s2 = ps.Index([212.3, 100.0001])
+
+        assertPandasOnSparkEqual(s1, s2, almost=True)
+
+    def test_assert_error_assertPandasOnSparkEqual(self):
+        import pyspark.pandas as ps
+
+        list1 = [10, 20, 30]
+        list2 = [10, 20, 30]
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertPandasOnSparkEqual(list1, list2)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": f"{ps.DataFrame.__name__}, "
+                f"{ps.Series.__name__}, "
+                f"{ps.Index.__name__}",
+                "arg_name": "actual",
+                "actual_type": type(list1),
+            },
+        )
+
+    def test_assert_None_assertPandasOnSparkEqual(self):
+        psdf1 = None
+        psdf2 = None
+
+        assertPandasOnSparkEqual(psdf1, psdf2)
+
+    def test_assert_empty_assertPandasOnSparkEqual(self):
+        import pyspark.pandas as ps
+
+        psdf1 = ps.DataFrame()
+        psdf2 = ps.DataFrame()
+
+        assertPandasOnSparkEqual(psdf1, psdf2)
+
+    def test_dataframe_error_assert_pandas_equal(self):
+        pdf1 = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
+        pdf2 = pd.DataFrame({"a": [1, 3, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            _assert_pandas_equal(pdf1, pdf2, True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": pdf1.to_string(),
+                "left_dtype": str(pdf1.dtypes),
+                "right": pdf2.to_string(),
+                "right_dtype": str(pdf2.dtypes),
+            },
+        )
+
+    def test_series_error_assert_pandas_equal(self):
+        series1 = pd.Series([1, 2, 3])
+        series2 = pd.Series([4, 5, 6])
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            _assert_pandas_equal(series1, series2, True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_SERIES",
+            message_parameters={
+                "left": series1,
+                "left_dtype": series1.dtype,
+                "right": series2,
+                "right_dtype": series2.dtype,
+            },
+        )
+
+    def test_index_error_assert_pandas_equal(self):
+        index1 = pd.Index([1, 2, 3])
+        index2 = pd.Index([4, 5, 6])
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            _assert_pandas_equal(index1, index2, True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_INDEX",
+            message_parameters={
+                "left": index1,
+                "left_dtype": index1.dtype,
+                "right": index2,
+                "right_dtype": index2.dtype,
+            },
+        )
+
+    def test_multiindex_error_assert_pandas_almost_equal(self):
+        pdf1 = pd.DataFrame({"a": [1, 2], "b": [4, 10]}, index=[0, 1])
+        pdf2 = pd.DataFrame({"a": [1, 5, 3], "b": [1, 5, 6]}, index=[0, 1, 3])
+        multiindex1 = pd.MultiIndex.from_frame(pdf1)
+        multiindex2 = pd.MultiIndex.from_frame(pdf2)
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            _assert_pandas_almost_equal(multiindex1, multiindex2)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_MULTIINDEX",
+            message_parameters={
+                "left": multiindex1,
+                "left_dtype": multiindex1.dtype,
+                "right": multiindex2,
+                "right_dtype": multiindex2.dtype,
+            },
+        )
+
+    def test_dataframe_error_assert_pandas_on_spark_almost_equal(self):
+        import pyspark.pandas as ps
+
+        psdf1 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
+        psdf2 = ps.DataFrame({"a": [1, 2], "b": [4, 5], "c": [7, 8]})
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertPandasOnSparkEqual(psdf1, psdf2, almost=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": psdf1.to_string(),
+                "left_dtype": str(psdf1.dtypes),
+                "right": psdf2.to_string(),
+                "right_dtype": str(psdf2.dtypes),
+            },
+        )
+
 
 class TestClassForLazyProp:
     def __init__(self):
diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index a1cefe7c840d6..500c314e449ba 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -623,22 +623,47 @@ def test_assert_equal_nulldf(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
-    def test_assert_error_pandas_df(self):
-        import pandas as pd
+    def test_assert_equal_exact_pandas_df(self):
+        import pyspark.pandas as ps
 
-        df1 = pd.DataFrame(data=[10, 20, 30], columns=["Numbers"])
-        df2 = pd.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+        df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+        df2 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+
+        assertDataFrameEqual(df1, df2, checkRowOrder=False)
+        assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+    def test_assert_equal_exact_pandas_df(self):
+        import pyspark.pandas as ps
+
+        df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+        df2 = ps.DataFrame(data=[30, 20, 10], columns=["Numbers"])
+
+        assertDataFrameEqual(df1, df2)
+
+    def test_assert_equal_approx_pandas_df(self):
+        import pyspark.pandas as ps
+
+        df1 = ps.DataFrame(data=[10.0001, 20.32, 30.1], columns=["Numbers"])
+        df2 = ps.DataFrame(data=[10.0, 20.32, 30.1], columns=["Numbers"])
+
+        assertDataFrameEqual(df1, df2, checkRowOrder=False)
+        assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+    def test_assert_error_pandas_pyspark_df(self):
+        import pyspark.pandas as ps
+
+        df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+        df2 = self.spark.createDataFrame([(10,), (11,), (13,)], ["Numbers"])
 
         with self.assertRaises(PySparkAssertionError) as pe:
-            assertDataFrameEqual(df1, df2)
+            assertDataFrameEqual(df1, df2, checkRowOrder=False)
 
         self.check_error(
             exception=pe.exception,
-            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
             message_parameters={
-                "expected_type": DataFrame,
-                "arg_name": "df",
-                "actual_type": pd.DataFrame,
+                "actual_type": type(df1),
+                "expected_type": type(df2),
             },
         )
 
@@ -647,15 +672,16 @@ def test_assert_error_pandas_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
             message_parameters={
-                "expected_type": DataFrame,
-                "arg_name": "df",
-                "actual_type": pd.DataFrame,
+                "actual_type": type(df1),
+                "expected_type": type(df2),
             },
         )
 
     def test_assert_error_non_pyspark_df(self):
+        import pyspark.pandas as ps
+
         dict1 = {"a": 1, "b": 2}
         dict2 = {"a": 1, "b": 2}
 
@@ -666,8 +692,8 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": DataFrame,
-                "arg_name": "df",
+                "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                "arg_name": "actual",
                 "actual_type": type(dict1),
             },
         )
@@ -679,8 +705,8 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": DataFrame,
-                "arg_name": "df",
+                "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                "arg_name": "actual",
                 "actual_type": type(dict1),
             },
         )
diff --git a/python/pyspark/testing/__init__.py b/python/pyspark/testing/__init__.py
index 88853e925f801..57c206629a80f 100644
--- a/python/pyspark/testing/__init__.py
+++ b/python/pyspark/testing/__init__.py
@@ -16,4 +16,6 @@
 #
 from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual
 
-__all__ = ["assertDataFrameEqual", "assertSchemaEqual"]
+from pyspark.testing.pandasutils import assertPandasOnSparkEqual
+
+__all__ = ["assertDataFrameEqual", "assertSchemaEqual", "assertPandasOnSparkEqual"]
diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 202603ca5c0a7..4ffe8858396e2 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -19,15 +19,19 @@
 import shutil
 import tempfile
 import warnings
+import pandas as pd
 from contextlib import contextmanager
 from distutils.version import LooseVersion
+import decimal
+from typing import Union
 
-from pyspark import pandas as ps
+import pyspark.pandas as ps
 from pyspark.pandas.frame import DataFrame
 from pyspark.pandas.indexes import Index
 from pyspark.pandas.series import Series
 from pyspark.pandas.utils import SPARK_CONF_ARROW_ENABLED
 from pyspark.testing.sqlutils import ReusedSQLTestCase
+from pyspark.errors import PySparkAssertionError
 
 tabulate_requirement_message = None
 try:
@@ -54,153 +58,381 @@
 have_plotly = plotly_requirement_message is None
 
 
-class PandasOnSparkTestUtils:
-    def convert_str_to_lambda(self, func):
-        """
-        This function coverts `func` str to lambda call
-        """
-        return lambda x: getattr(x, func)()
+__all__ = ["assertPandasOnSparkEqual"]
 
-    def assertPandasEqual(self, left, right, check_exact=True):
-        import pandas as pd
-        from pandas.core.dtypes.common import is_numeric_dtype
-        from pandas.testing import assert_frame_equal, assert_index_equal, assert_series_equal
-
-        if isinstance(left, pd.DataFrame) and isinstance(right, pd.DataFrame):
-            try:
-                if LooseVersion(pd.__version__) >= LooseVersion("1.1"):
-                    kwargs = dict(check_freq=False)
-                else:
-                    kwargs = dict()
-
-                if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
-                    # Due to https://github.com/pandas-dev/pandas/issues/35446
-                    check_exact = (
-                        check_exact
-                        and all([is_numeric_dtype(dtype) for dtype in left.dtypes])
-                        and all([is_numeric_dtype(dtype) for dtype in right.dtypes])
-                    )
 
-                assert_frame_equal(
-                    left,
-                    right,
-                    check_index_type=("equiv" if len(left.index) > 0 else False),
-                    check_column_type=("equiv" if len(left.columns) > 0 else False),
-                    check_exact=check_exact,
-                    **kwargs,
+def _assert_pandas_equal(
+    left: Union[pd.DataFrame, pd.Series, pd.Index],
+    right: Union[pd.DataFrame, pd.Series, pd.Index],
+    checkExact: bool,
+):
+    from pandas.core.dtypes.common import is_numeric_dtype
+    from pandas.testing import assert_frame_equal, assert_index_equal, assert_series_equal
+
+    if isinstance(left, pd.DataFrame) and isinstance(right, pd.DataFrame):
+        try:
+            if LooseVersion(pd.__version__) >= LooseVersion("1.1"):
+                kwargs = dict(check_freq=False)
+            else:
+                kwargs = dict()
+
+            if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
+                # Due to https://github.com/pandas-dev/pandas/issues/35446
+                checkExact = (
+                    checkExact
+                    and all([is_numeric_dtype(dtype) for dtype in left.dtypes])
+                    and all([is_numeric_dtype(dtype) for dtype in right.dtypes])
                 )
-            except AssertionError as e:
-                msg = (
-                    str(e)
-                    + "\n\nLeft:\n%s\n%s" % (left, left.dtypes)
-                    + "\n\nRight:\n%s\n%s" % (right, right.dtypes)
+
+            assert_frame_equal(
+                left,
+                right,
+                check_index_type=("equiv" if len(left.index) > 0 else False),
+                check_column_type=("equiv" if len(left.columns) > 0 else False),
+                check_exact=checkExact,
+                **kwargs,
+            )
+        except AssertionError:
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_DATAFRAME",
+                message_parameters={
+                    "left": left.to_string(),
+                    "left_dtype": str(left.dtypes),
+                    "right": right.to_string(),
+                    "right_dtype": str(right.dtypes),
+                },
+            )
+    elif isinstance(left, pd.Series) and isinstance(right, pd.Series):
+        try:
+            if LooseVersion(pd.__version__) >= LooseVersion("1.1"):
+                kwargs = dict(check_freq=False)
+            else:
+                kwargs = dict()
+            if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
+                # Due to https://github.com/pandas-dev/pandas/issues/35446
+                checkExact = (
+                    checkExact and is_numeric_dtype(left.dtype) and is_numeric_dtype(right.dtype)
                 )
-                raise AssertionError(msg) from e
-        elif isinstance(left, pd.Series) and isinstance(right, pd.Series):
-            try:
-                if LooseVersion(pd.__version__) >= LooseVersion("1.1"):
-                    kwargs = dict(check_freq=False)
-                else:
-                    kwargs = dict()
-                if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
-                    # Due to https://github.com/pandas-dev/pandas/issues/35446
-                    check_exact = (
-                        check_exact
-                        and is_numeric_dtype(left.dtype)
-                        and is_numeric_dtype(right.dtype)
-                    )
-                assert_series_equal(
-                    left,
-                    right,
-                    check_index_type=("equiv" if len(left.index) > 0 else False),
-                    check_exact=check_exact,
-                    **kwargs,
+            assert_series_equal(
+                left,
+                right,
+                check_index_type=("equiv" if len(left.index) > 0 else False),
+                check_exact=checkExact,
+                **kwargs,
+            )
+        except AssertionError:
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_SERIES",
+                message_parameters={
+                    "left": left,
+                    "left_dtype": left.dtype,
+                    "right": right,
+                    "right_dtype": right.dtype,
+                },
+            )
+    elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
+        try:
+            if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
+                # Due to https://github.com/pandas-dev/pandas/issues/35446
+                checkExact = (
+                    checkExact and is_numeric_dtype(left.dtype) and is_numeric_dtype(right.dtype)
                 )
-            except AssertionError as e:
-                msg = (
-                    str(e)
-                    + "\n\nLeft:\n%s\n%s" % (left, left.dtype)
-                    + "\n\nRight:\n%s\n%s" % (right, right.dtype)
+            assert_index_equal(left, right, check_exact=checkExact)
+        except AssertionError:
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_INDEX",
+                message_parameters={
+                    "left": left,
+                    "left_dtype": left.dtype,
+                    "right": right,
+                    "right_dtype": right.dtype,
+                },
+            )
+    else:
+        raise ValueError("Unexpected values: (%s, %s)" % (left, right))
+
+
+def _assert_pandas_almost_equal(
+    left: Union[pd.DataFrame, pd.Series, pd.Index], right: Union[pd.DataFrame, pd.Series, pd.Index]
+):
+    """
+    This function checks if given pandas objects approximately same,
+    which means the conditions below:
+      - Both objects are nullable
+      - Compare floats rounding to the number of decimal places, 7 after
+        dropping missing values (NaN, NaT, None)
+    """
+    # following pandas convention, rtol=1e-5 and atol=1e-8
+    rtol = 1e-5
+    atol = 1e-8
+
+    if isinstance(left, pd.DataFrame) and isinstance(right, pd.DataFrame):
+        if left.shape != right.shape:
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_DATAFRAME",
+                message_parameters={
+                    "left": left.to_string(),
+                    "left_dtype": str(left.dtypes),
+                    "right": right.to_string(),
+                    "right_dtype": str(right.dtypes),
+                },
+            )
+        for lcol, rcol in zip(left.columns, right.columns):
+            if lcol != rcol:
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_DATAFRAME",
+                    message_parameters={
+                        "left": left.to_string(),
+                        "left_dtype": str(left.dtypes),
+                        "right": right.to_string(),
+                        "right_dtype": str(right.dtypes),
+                    },
                 )
-                raise AssertionError(msg) from e
-        elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
-            try:
-                if LooseVersion(pd.__version__) < LooseVersion("1.1.1"):
-                    # Due to https://github.com/pandas-dev/pandas/issues/35446
-                    check_exact = (
-                        check_exact
-                        and is_numeric_dtype(left.dtype)
-                        and is_numeric_dtype(right.dtype)
+            for lnull, rnull in zip(left[lcol].isnull(), right[rcol].isnull()):
+                if lnull != rnull:
+                    raise PySparkAssertionError(
+                        error_class="DIFFERENT_PANDAS_DATAFRAME",
+                        message_parameters={
+                            "left": left.to_string(),
+                            "left_dtype": str(left.dtypes),
+                            "right": right.to_string(),
+                            "right_dtype": str(right.dtypes),
+                        },
                     )
-                assert_index_equal(left, right, check_exact=check_exact)
-            except AssertionError as e:
-                msg = (
-                    str(e)
-                    + "\n\nLeft:\n%s\n%s" % (left, left.dtype)
-                    + "\n\nRight:\n%s\n%s" % (right, right.dtype)
+            for lval, rval in zip(left[lcol].dropna(), right[rcol].dropna()):
+                if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
+                    isinstance(rval, float) or isinstance(rval, decimal.Decimal)
+                ):
+                    if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
+                        raise PySparkAssertionError(
+                            error_class="DIFFERENT_PANDAS_DATAFRAME",
+                            message_parameters={
+                                "left": left.to_string(),
+                                "left_dtype": str(left.dtypes),
+                                "right": right.to_string(),
+                                "right_dtype": str(right.dtypes),
+                            },
+                        )
+        if left.columns.names != right.columns.names:
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_DATAFRAME",
+                message_parameters={
+                    "left": left.to_string(),
+                    "left_dtype": str(left.dtypes),
+                    "right": right.to_string(),
+                    "right_dtype": str(right.dtypes),
+                },
+            )
+    elif isinstance(left, pd.Series) and isinstance(right, pd.Series):
+        if left.name != right.name or len(left) != len(right):
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_SERIES",
+                message_parameters={
+                    "left": left,
+                    "left_dtype": left.dtype,
+                    "right": right,
+                    "right_dtype": right.dtype,
+                },
+            )
+        for lnull, rnull in zip(left.isnull(), right.isnull()):
+            if lnull != rnull:
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_SERIES",
+                    message_parameters={
+                        "left": left,
+                        "left_dtype": left.dtype,
+                        "right": right,
+                        "right_dtype": right.dtype,
+                    },
                 )
-                raise AssertionError(msg) from e
+        for lval, rval in zip(left.dropna(), right.dropna()):
+            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
+                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
+            ):
+                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
+                    raise PySparkAssertionError(
+                        error_class="DIFFERENT_PANDAS_SERIES",
+                        message_parameters={
+                            "left": left,
+                            "left_dtype": left.dtype,
+                            "right": right,
+                            "right_dtype": right.dtype,
+                        },
+                    )
+    elif isinstance(left, pd.MultiIndex) and isinstance(right, pd.MultiIndex):
+        if len(left) != len(right):
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_MULTIINDEX",
+                message_parameters={
+                    "left": left,
+                    "left_dtype": left.dtype,
+                    "right": right,
+                    "right_dtype": right.dtype,
+                },
+            )
+        for lval, rval in zip(left, right):
+            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
+                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
+            ):
+                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
+                    raise PySparkAssertionError(
+                        error_class="DIFFERENT_PANDAS_MULTIINDEX",
+                        message_parameters={
+                            "left": left,
+                            "left_dtype": left.dtype,
+                            "right": right,
+                            "right_dtype": right.dtype,
+                        },
+                    )
+    elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
+        if len(left) != len(right):
+            raise PySparkAssertionError(
+                error_class="DIFFERENT_PANDAS_INDEX",
+                message_parameters={
+                    "left": left,
+                    "left_dtype": left.dtype,
+                    "right": right,
+                    "right_dtype": right.dtype,
+                },
+            )
+        for lnull, rnull in zip(left.isnull(), right.isnull()):
+            if lnull != rnull:
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_INDEX",
+                    message_parameters={
+                        "left": left,
+                        "left_dtype": left.dtype,
+                        "right": right,
+                        "right_dtype": right.dtype,
+                    },
+                )
+        for lval, rval in zip(left.dropna(), right.dropna()):
+            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
+                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
+            ):
+                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
+                    raise PySparkAssertionError(
+                        error_class="DIFFERENT_PANDAS_INDEX",
+                        message_parameters={
+                            "left": left,
+                            "left_dtype": left.dtype,
+                            "right": right,
+                            "right_dtype": right.dtype,
+                        },
+                    )
+    else:
+        raise ValueError("Unexpected values: (%s, %s)" % (left, right))
+
+
+def assertPandasOnSparkEqual(
+    actual: Union[DataFrame, Series, Index],
+    expected: Union[DataFrame, pd.DataFrame, Series, Index],
+    checkExact: bool = True,
+    almost: bool = False,
+    checkRowOrder: bool = False,
+):
+    r"""
+    A util function to assert equality between actual (pandas-on-Spark DataFrame) and expected
+    (pandas-on-Spark or pandas DataFrame).
+
+    .. versionadded:: 3.5.0
+
+    Parameters
+    ----------
+    actual: pyspark.pandas.frame.DataFrame
+        The DataFrame that is being compared or tested.
+    expected: pyspark.pandas.frame.DataFrame or pd.DataFrame
+        The expected DataFrame, for comparison with the actual result.
+    checkExact: bool, optional
+        A flag indicating whether to compare exact equality.
+        If set to 'True' (default), the data is compared exactly.
+        If set to 'False', the data is compared less precisely, following pandas assert_frame_equal
+        approximate comparison (see documentation for more details).
+    almost: bool, optional
+        A flag indicating whether to use unittest `assertAlmostEqual` or `assertEqual`.
+        If set to 'True', the comparison is delegated to `unittest`'s `assertAlmostEqual`
+        (see documentation for more details).
+        If set to 'False' (default), the data is compared exactly with `unittest`'s
+        `assertEqual`.
+    checkRowOrder : bool, optional
+        A flag indicating whether the order of rows should be considered in the comparison.
+        If set to `False` (default), the row order is not taken into account.
+        If set to `True`, the order of rows is important and will be checked during comparison.
+        (See Notes)
+
+    Notes
+    -----
+    For `checkRowOrder`, note that pandas-on-Spark DataFrame ordering is non-deterministic, unless
+    explicitly sorted.
+
+    Examples
+    --------
+    >>> import pyspark.pandas as ps
+    >>> psdf1 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
+    >>> psdf2 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
+    >>> assertPandasOnSparkEqual(psdf1, psdf2)  # pass, ps.DataFrames are equal
+    >>> s1 = ps.Series([212.32, 100.0001])
+    >>> s2 = ps.Series([212.32, 100.0])
+    >>> assertPandasOnSparkEqual(s1, s2, checkExact=False)  # pass, ps.Series are approx equal
+    >>> s1 = ps.Index([212.300001, 100.000])
+    >>> s2 = ps.Index([212.3, 100.0001])
+    >>> assertPandasOnSparkEqual(s1, s2, almost=True)  # pass, ps.Index obj are almost equal
+    """
+    if actual is None and expected is None:
+        return True
+    elif actual is None or expected is None:
+        return False
+
+    if not isinstance(actual, (DataFrame, Series, Index)):
+        raise PySparkAssertionError(
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": f"{DataFrame.__name__}, {Series.__name__}, {Index.__name__}",
+                "arg_name": "actual",
+                "actual_type": type(actual),
+            },
+        )
+    elif not isinstance(expected, (DataFrame, pd.DataFrame, Series, Index)):
+        raise PySparkAssertionError(
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": f"{DataFrame.__name__}, "
+                f"{pd.DataFrame.__name__}, "
+                f"{Series.__name__}, "
+                f"{Index.__name__}",
+                "arg_name": "expected",
+                "actual_type": type(expected),
+            },
+        )
+    else:
+        actual = actual.to_pandas()
+        if not isinstance(expected, pd.DataFrame):
+            expected = expected.to_pandas()
+
+        if not checkRowOrder:
+            if isinstance(actual, pd.DataFrame) and len(actual.columns) > 0:
+                actual = actual.sort_values(by=actual.columns[0], ignore_index=True)
+            if isinstance(expected, pd.DataFrame) and len(expected.columns) > 0:
+                expected = expected.sort_values(by=expected.columns[0], ignore_index=True)
+
+        if almost:
+            _assert_pandas_almost_equal(actual, expected)
         else:
-            raise ValueError("Unexpected values: (%s, %s)" % (left, right))
+            _assert_pandas_equal(actual, expected, checkExact=checkExact)
 
-    def assertPandasAlmostEqual(self, left, right):
+
+class PandasOnSparkTestUtils:
+    def convert_str_to_lambda(self, func):
         """
-        This function checks if given pandas objects approximately same,
-        which means the conditions below:
-          - Both objects are nullable
-          - Compare floats rounding to the number of decimal places, 7 after
-            dropping missing values (NaN, NaT, None)
+        This function converts `func` str to lambda call
         """
-        import pandas as pd
+        return lambda x: getattr(x, func)()
 
-        if isinstance(left, pd.DataFrame) and isinstance(right, pd.DataFrame):
-            msg = (
-                "DataFrames are not almost equal: "
-                + "\n\nLeft:\n%s\n%s" % (left, left.dtypes)
-                + "\n\nRight:\n%s\n%s" % (right, right.dtypes)
-            )
-            self.assertEqual(left.shape, right.shape, msg=msg)
-            for lcol, rcol in zip(left.columns, right.columns):
-                self.assertEqual(lcol, rcol, msg=msg)
-                for lnull, rnull in zip(left[lcol].isnull(), right[rcol].isnull()):
-                    self.assertEqual(lnull, rnull, msg=msg)
-                for lval, rval in zip(left[lcol].dropna(), right[rcol].dropna()):
-                    self.assertAlmostEqual(lval, rval, msg=msg)
-            self.assertEqual(left.columns.names, right.columns.names, msg=msg)
-        elif isinstance(left, pd.Series) and isinstance(right, pd.Series):
-            msg = (
-                "Series are not almost equal: "
-                + "\n\nLeft:\n%s\n%s" % (left, left.dtype)
-                + "\n\nRight:\n%s\n%s" % (right, right.dtype)
-            )
-            self.assertEqual(left.name, right.name, msg=msg)
-            self.assertEqual(len(left), len(right), msg=msg)
-            for lnull, rnull in zip(left.isnull(), right.isnull()):
-                self.assertEqual(lnull, rnull, msg=msg)
-            for lval, rval in zip(left.dropna(), right.dropna()):
-                self.assertAlmostEqual(lval, rval, msg=msg)
-        elif isinstance(left, pd.MultiIndex) and isinstance(right, pd.MultiIndex):
-            msg = (
-                "MultiIndices are not almost equal: "
-                + "\n\nLeft:\n%s\n%s" % (left, left.dtype)
-                + "\n\nRight:\n%s\n%s" % (right, right.dtype)
-            )
-            self.assertEqual(len(left), len(right), msg=msg)
-            for lval, rval in zip(left, right):
-                self.assertAlmostEqual(lval, rval, msg=msg)
-        elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
-            msg = (
-                "Indices are not almost equal: "
-                + "\n\nLeft:\n%s\n%s" % (left, left.dtype)
-                + "\n\nRight:\n%s\n%s" % (right, right.dtype)
-            )
-            self.assertEqual(len(left), len(right), msg=msg)
-            for lnull, rnull in zip(left.isnull(), right.isnull()):
-                self.assertEqual(lnull, rnull, msg=msg)
-            for lval, rval in zip(left.dropna(), right.dropna()):
-                self.assertAlmostEqual(lval, rval, msg=msg)
-        else:
-            raise ValueError("Unexpected values: (%s, %s)" % (left, right))
+    def assertPandasEqual(self, left, right, check_exact=True):
+        _assert_pandas_equal(left, right, check_exact)
+
+    def assertPandasAlmostEqual(self, left, right):
+        _assert_pandas_almost_equal(left, right)
 
     def assert_eq(self, left, right, check_exact=True, almost=False):
         """
@@ -220,9 +452,9 @@ def assert_eq(self, left, right, check_exact=True, almost=False):
         robj = self._to_pandas(right)
         if isinstance(lobj, (pd.DataFrame, pd.Series, pd.Index)):
             if almost:
-                self.assertPandasAlmostEqual(lobj, robj)
+                _assert_pandas_almost_equal(lobj, robj)
             else:
-                self.assertPandasEqual(lobj, robj, check_exact=check_exact)
+                _assert_pandas_equal(lobj, robj, checkExact=check_exact)
         elif is_list_like(lobj) and is_list_like(robj):
             self.assertTrue(len(left) == len(right))
             for litem, ritem in zip(left, right):
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index b8977b6fffd79..3ba92017fc4c5 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -38,6 +38,7 @@
 from pyspark.sql.dataframe import DataFrame
 from pyspark.sql import Row
 from pyspark.sql.types import StructType, AtomicType, StructField
+import pyspark.pandas as ps
 
 have_scipy = False
 have_numpy = False
@@ -314,8 +315,8 @@ def compare_datatypes_ignore_nullable(dt1: Any, dt2: Any):
 
 
 def assertDataFrameEqual(
-    actual: DataFrame,
-    expected: Union[DataFrame, List[Row]],
+    actual: Union[DataFrame, ps.DataFrame],
+    expected: Union[DataFrame, ps.DataFrame, List[Row]],
     checkRowOrder: bool = False,
     rtol: float = 1e-5,
     atol: float = 1e-8,
@@ -324,13 +325,17 @@ def assertDataFrameEqual(
     A util function to assert equality between `actual` (DataFrame) and `expected`
     (DataFrame or list of Rows), with optional parameters `checkRowOrder`, `rtol`, and `atol`.
 
+    Supports Spark, Spark Connect, and pandas-on-Spark DataFrames.
+    For more information about pandas-on-Spark DataFrame equality, see the docs for
+    `assertPandasOnSparkEqual`.
+
     .. versionadded:: 3.5.0
 
     Parameters
     ----------
-    actual : DataFrame
+    actual : DataFrame (Spark, Spark Connect, or pandas-on-Spark)
         The DataFrame that is being compared or tested.
-    expected : DataFrame or list of Rows
+    expected : DataFrame (Spark, Spark Connect, or pandas-on-Spark) or list of Rows
         The expected result of the operation, for comparison with the actual result.
     checkRowOrder : bool, optional
         A flag indicating whether the order of rows should be considered in the comparison.
@@ -346,10 +351,10 @@ def assertDataFrameEqual(
 
     Notes
     -----
-    When assertDataFrameEqual fails, the error message uses the Python `difflib` library to display
-    a diff log of each row that differs in `actual` and `expected`.
+    When `assertDataFrameEqual` fails, the error message uses the Python `difflib` library to
+    display a diff log of each row that differs in `actual` and `expected`.
 
-    For checkRowOrder, note that PySpark DataFrame ordering is non-deterministic, unless
+    For `checkRowOrder`, note that PySpark DataFrame ordering is non-deterministic, unless
     explicitly sorted.
 
     Note that schema equality is checked only when `expected` is a DataFrame (not a list of Rows).
@@ -369,7 +374,11 @@ def assertDataFrameEqual(
     >>> assertDataFrameEqual(df1, df2, rtol=1e-1)  # pass, DataFrames are approx equal by rtol
     >>> df1 = spark.createDataFrame(data=[(1, 1000), (2, 3000)], schema=["id", "amount"])
     >>> list_of_rows = [Row(1, 1000), Row(2, 3000)]
-    >>> assertDataFrameEqual(df1, list_of_rows)  # pass, actual and expected are equal
+    >>> assertDataFrameEqual(df1, list_of_rows)  # pass, actual and expected data are equal
+    >>> import pyspark.pandas as ps
+    >>> df1 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
+    >>> df2 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
+    >>> assertDataFrameEqual(df1, df2)  # pass, pandas-on-Spark DataFrames are equal
     >>> df1 = spark.createDataFrame(
     ...     data=[("1", 1000.00), ("2", 3000.00), ("3", 2000.00)], schema=["id", "amount"])
     >>> df2 = spark.createDataFrame(
@@ -395,47 +404,76 @@ def assertDataFrameEqual(
     elif actual is None or expected is None:
         return False
 
+    import pyspark.pandas as ps
+    from pyspark.testing.pandasutils import assertPandasOnSparkEqual
+
     try:
         # If Spark Connect dependencies are available, allow Spark Connect DataFrame
         from pyspark.sql.connect.dataframe import DataFrame as ConnectDataFrame
 
-        if not isinstance(actual, DataFrame) and not isinstance(actual, ConnectDataFrame):
+        if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
+            # handle pandas DataFrames
+            if not (isinstance(actual, ps.DataFrame) and isinstance(expected, ps.DataFrame)):
+                raise PySparkAssertionError(
+                    error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
+                    message_parameters={
+                        "actual_type": type(actual),
+                        "expected_type": type(expected),
+                    },
+                )
+            # assert approximate equality for float data
+            return assertPandasOnSparkEqual(
+                actual, expected, checkExact=False, checkRowOrder=checkRowOrder
+            )
+        elif not isinstance(actual, (DataFrame, ps.DataFrame, ConnectDataFrame)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": DataFrame,
-                    "arg_name": "df",
+                    "expected_type": DataFrame.__name__,
+                    "arg_name": "actual",
                     "actual_type": type(actual),
                 },
             )
-        elif (
-            not isinstance(expected, DataFrame)
-            and not isinstance(expected, ConnectDataFrame)
-            and not isinstance(expected, List)
-        ):
+        elif not isinstance(expected, (DataFrame, ps.DataFrame, ConnectDataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": Union[DataFrame, List[Row]],
+                    "expected_type": f"{DataFrame.__name__}, {List[Row].__name__}",
                     "arg_name": "expected",
                     "actual_type": type(expected),
                 },
             )
     except Exception:
-        if not isinstance(actual, DataFrame):
+        if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
+            # handle pandas DataFrames
+            if not (isinstance(actual, ps.DataFrame) and isinstance(expected, ps.DataFrame)):
+                raise PySparkAssertionError(
+                    error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
+                    message_parameters={
+                        "actual_type": type(actual),
+                        "expected_type": type(expected),
+                    },
+                )
+            # assert approximate equality for float data
+            return assertPandasOnSparkEqual(
+                actual, expected, checkExact=False, checkRowOrder=checkRowOrder
+            )
+        elif not isinstance(actual, (DataFrame, ps.DataFrame)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": DataFrame,
-                    "arg_name": "df",
+                    "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                    "arg_name": "actual",
                     "actual_type": type(actual),
                 },
             )
-        elif not isinstance(expected, DataFrame) and not isinstance(expected, List):
+        elif not isinstance(expected, (DataFrame, ps.DataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": Union[DataFrame, List[Row]],
+                    "expected_type": f"{DataFrame.__name__}, "
+                    f"{ps.DataFrame.__name__}, "
+                    f"{List[Row].__name__}",
                     "arg_name": "expected",
                     "actual_type": type(expected),
                 },

From 7059b69e67db8126dafc3d4b1f3b39e947c4c3ca Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 28 Jul 2023 15:30:17 +0900
Subject: [PATCH 085/986] [SPARK-43968][PYTHON][3.5] Improve error messages for
 Python UDTFs with wrong number of outputs

### What changes were proposed in this pull request?

This PR cherry-picks 7194ce9263fe1683c039a1aaf9462657b1672a99. It improves the error messages for Python UDTFs when the number of outputs mismatches the number of outputs specified in the return type of the UDTFs.

### Why are the changes needed?

To make Python UDTFs more user-friendly.

### Does this PR introduce _any_ user-facing change?

Yes. This PR improves the error messages.
Before this change, the error thrown by Spark will be a java IllegalStateException:
```
java.lang.IllegalStateException: Input row doesn't have expected number of values required by the schema
```
After this PR, it will throw a clearer error message with an error class:
```
[UDTF_RETURN_SCHEMA_MISMATCH] The number of columns in the result does not match the specified schema
```

### How was this patch tested?

Existing tests and new unit tests.

Closes #42192 from allisonwang-db/spark-43968-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py        |   5 +
 python/pyspark/sql/connect/udtf.py            |   4 +-
 .../sql/tests/connect/test_parity_udtf.py     |  50 -------
 python/pyspark/sql/tests/test_udtf.py         | 133 +++++++++---------
 python/pyspark/sql/udtf.py                    |   9 +-
 python/pyspark/worker.py                      |  22 ++-
 6 files changed, 99 insertions(+), 124 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index b1bf6b47af9ab..f6411fac1da13 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -320,6 +320,11 @@
       "The eval type for the UDTF '<name>' is invalid. It must be one of <eval_type>."
     ]
   },
+  "INVALID_UDTF_HANDLER_TYPE" : {
+    "message" : [
+      "The UDTF is invalid. The function handler must be a class, but got '<type>'. Please provide a class as the function handler."
+    ]
+  },
   "INVALID_UDTF_NO_EVAL" : {
     "message" : [
       "The UDTF '<name>' is invalid. It does not implement the required 'eval' method. Please implement the 'eval' method in '<name>' and try again."
diff --git a/python/pyspark/sql/connect/udtf.py b/python/pyspark/sql/connect/udtf.py
index 1fe8e1024ee7b..3747e37459e1b 100644
--- a/python/pyspark/sql/connect/udtf.py
+++ b/python/pyspark/sql/connect/udtf.py
@@ -124,6 +124,8 @@ def __init__(
         evalType: int = PythonEvalType.SQL_TABLE_UDF,
         deterministic: bool = True,
     ) -> None:
+        _validate_udtf_handler(func)
+
         self.func = func
         self.returnType: DataType = (
             UnparsedDataType(returnType) if isinstance(returnType, str) else returnType
@@ -132,8 +134,6 @@ def __init__(
         self.evalType = evalType
         self.deterministic = deterministic
 
-        _validate_udtf_handler(func)
-
     def _build_common_inline_user_defined_table_function(
         self, *cols: "ColumnOrName"
     ) -> CommonInlineUserDefinedTableFunction:
diff --git a/python/pyspark/sql/tests/connect/test_parity_udtf.py b/python/pyspark/sql/tests/connect/test_parity_udtf.py
index e18e116e0034d..355f5288d2c99 100644
--- a/python/pyspark/sql/tests/connect/test_parity_udtf.py
+++ b/python/pyspark/sql/tests/connect/test_parity_udtf.py
@@ -54,56 +54,6 @@ def eval(self, a: int):
         ):
             TestUDTF(lit(1)).collect()
 
-    def test_udtf_with_wrong_num_output(self):
-        err_msg = (
-            "java.lang.IllegalStateException: Input row doesn't have expected number of "
-            + "values required by the schema."
-        )
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a,
-
-        with self.assertRaisesRegex(SparkConnectGrpcException, err_msg):
-            TestUDTF(lit(1)).collect()
-
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-        with self.assertRaisesRegex(SparkConnectGrpcException, err_msg):
-            TestUDTF(lit(1)).collect()
-
-    def test_udtf_terminate_with_wrong_num_output(self):
-        err_msg = (
-            "java.lang.IllegalStateException: Input row doesn't have expected number of "
-            "values required by the schema."
-        )
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-            def terminate(self):
-                yield 1, 2, 3
-
-        with self.assertRaisesRegex(SparkConnectGrpcException, err_msg):
-            TestUDTF(lit(1)).show()
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-            def terminate(self):
-                yield 1,
-
-        with self.assertRaisesRegex(SparkConnectGrpcException, err_msg):
-            TestUDTF(lit(1)).show()
-
 
 class ArrowUDTFParityTests(UDTFArrowTestsMixin, UDTFParityTests):
     @classmethod
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 0aa769e506d38..b3e832b8b973e 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -19,8 +19,6 @@
 
 from typing import Iterator
 
-from py4j.protocol import Py4JJavaError
-
 from pyspark.errors import (
     PySparkAttributeError,
     PythonException,
@@ -234,29 +232,76 @@ def eval(self, a: int):
         ):
             TestUDTF(lit(1), lit(2)).collect()
 
+    def test_udtf_init_with_additional_args(self):
+        @udtf(returnType="x int")
+        class TestUDTF:
+            def __init__(self, a: int):
+                ...
+
+            def eval(self, a: int):
+                yield a,
+
+        with self.assertRaisesRegex(
+            PythonException, r"__init__\(\) missing 1 required positional argument: 'a'"
+        ):
+            TestUDTF(lit(1)).show()
+
+    def test_udtf_terminate_with_additional_args(self):
+        @udtf(returnType="x int")
+        class TestUDTF:
+            def eval(self, a: int):
+                yield a,
+
+            def terminate(self, a: int):
+                ...
+
+        with self.assertRaisesRegex(
+            PythonException, r"terminate\(\) missing 1 required positional argument: 'a'"
+        ):
+            TestUDTF(lit(1)).show()
+
     def test_udtf_with_wrong_num_output(self):
-        # TODO(SPARK-43968): check this during compile time instead of runtime
         err_msg = (
-            "java.lang.IllegalStateException: Input row doesn't have expected number of "
-            + "values required by the schema."
+            r"\[UDTF_RETURN_SCHEMA_MISMATCH\] The number of columns in the "
+            "result does not match the specified schema."
         )
 
+        # Output less columns than specified return schema
         @udtf(returnType="a: int, b: int")
         class TestUDTF:
             def eval(self, a: int):
                 yield a,
 
-        with self.assertRaisesRegex(Py4JJavaError, err_msg):
+        with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).collect()
 
+        # Output more columns than specified return schema
         @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
                 yield a, a + 1
 
-        with self.assertRaisesRegex(Py4JJavaError, err_msg):
+        with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).collect()
 
+    def test_udtf_with_empty_output_schema_and_non_empty_output(self):
+        @udtf(returnType=StructType())
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+
+        with self.assertRaisesRegex(PythonException, "UDTF_RETURN_SCHEMA_MISMATCH"):
+            TestUDTF().collect()
+
+    def test_udtf_with_non_empty_output_schema_and_empty_output(self):
+        @udtf(returnType="a: int")
+        class TestUDTF:
+            def eval(self):
+                yield tuple()
+
+        with self.assertRaisesRegex(PythonException, "UDTF_RETURN_SCHEMA_MISMATCH"):
+            TestUDTF().collect()
+
     def test_udtf_init(self):
         @udtf(returnType="a: int, b: int, c: string")
         class TestUDTF:
@@ -323,8 +368,8 @@ def terminate(self):
 
     def test_udtf_terminate_with_wrong_num_output(self):
         err_msg = (
-            "java.lang.IllegalStateException: Input row doesn't have expected number of "
-            "values required by the schema."
+            r"\[UDTF_RETURN_SCHEMA_MISMATCH\] The number of columns in the result "
+            "does not match the specified schema."
         )
 
         @udtf(returnType="a: int, b: int")
@@ -335,7 +380,7 @@ def eval(self, a: int):
             def terminate(self):
                 yield 1, 2, 3
 
-        with self.assertRaisesRegex(Py4JJavaError, err_msg):
+        with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).show()
 
         @udtf(returnType="a: int, b: int")
@@ -346,7 +391,7 @@ def eval(self, a: int):
             def terminate(self):
                 yield 1,
 
-        with self.assertRaisesRegex(Py4JJavaError, err_msg):
+        with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).show()
 
     def test_nondeterministic_udtf(self):
@@ -523,18 +568,26 @@ def run(self, a: int):
         )
 
     def test_udtf_with_no_handler_class(self):
-        err_msg = "the function handler must be a class"
-        with self.assertRaisesRegex(TypeError, err_msg):
+        with self.assertRaises(PySparkTypeError) as e:
 
             @udtf(returnType="a: int")
             def test_udtf(a: int):
                 yield a,
 
-        def test_udtf(a: int):
-            yield a
+        self.check_error(
+            exception=e.exception,
+            error_class="INVALID_UDTF_HANDLER_TYPE",
+            message_parameters={"type": "function"},
+        )
+
+        with self.assertRaises(PySparkTypeError) as e:
+            udtf(1, returnType="a: int")
 
-        with self.assertRaisesRegex(TypeError, err_msg):
-            udtf(test_udtf, returnType="a: int")
+        self.check_error(
+            exception=e.exception,
+            error_class="INVALID_UDTF_HANDLER_TYPE",
+            message_parameters={"type": "int"},
+        )
 
     def test_udtf_with_table_argument_query(self):
         class TestUDTF:
@@ -804,52 +857,6 @@ def eval(self, a: int):
         func = udtf(TestUDTF, returnType="a: int")
         self.assertEqual(func(lit(1)).collect(), [Row(a=1)])
 
-    def test_udtf_terminate_with_wrong_num_output(self):
-        # The error message for arrow-optimized UDTF is different from regular UDTF.
-        err_msg = "The number of columns in the result does not match the specified schema."
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-            def terminate(self):
-                yield 1, 2, 3
-
-        with self.assertRaisesRegex(PythonException, err_msg):
-            TestUDTF(lit(1)).show()
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-            def terminate(self):
-                yield 1,
-
-        with self.assertRaisesRegex(PythonException, err_msg):
-            TestUDTF(lit(1)).show()
-
-    def test_udtf_with_wrong_num_output(self):
-        # The error message for arrow-optimized UDTF is different.
-        err_msg = "The number of columns in the result does not match the specified schema."
-
-        @udtf(returnType="a: int, b: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a,
-
-        with self.assertRaisesRegex(PythonException, err_msg):
-            TestUDTF(lit(1)).collect()
-
-        @udtf(returnType="a: int")
-        class TestUDTF:
-            def eval(self, a: int):
-                yield a, a + 1
-
-        with self.assertRaisesRegex(PythonException, err_msg):
-            TestUDTF(lit(1)).collect()
-
 
 class UDTFArrowTests(UDTFArrowTestsMixin, ReusedSQLTestCase):
     @classmethod
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index 3ab7419309396..50bba56880cf1 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -139,13 +139,10 @@ def terminate(self) -> Iterator[pd.DataFrame]:
 
 def _validate_udtf_handler(cls: Any) -> None:
     """Validate the handler class of a UDTF."""
-    # TODO(SPARK-43968): add more compile time checks for UDTFs
 
     if not isinstance(cls, type):
         raise PySparkTypeError(
-            f"Invalid user defined table function: the function handler "
-            f"must be a class, but got {type(cls).__name__}. Please provide "
-            "a class as the handler."
+            error_class="INVALID_UDTF_HANDLER_TYPE", message_parameters={"type": type(cls).__name__}
         )
 
     if not hasattr(cls, "eval"):
@@ -176,6 +173,8 @@ def __init__(
         evalType: int = PythonEvalType.SQL_TABLE_UDF,
         deterministic: bool = True,
     ):
+        _validate_udtf_handler(func)
+
         self.func = func
         self._returnType = returnType
         self._returnType_placeholder: Optional[StructType] = None
@@ -185,8 +184,6 @@ def __init__(
         self.evalType = evalType
         self.deterministic = deterministic
 
-        _validate_udtf_handler(func)
-
     @property
     def returnType(self) -> StructType:
         # `_parse_datatype_string` accesses to JVM for parsing a DDL formatted string.
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 2445b46970cdd..cbc9faad47cd8 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -532,8 +532,11 @@ def verify_result(result):
                         },
                     )
 
-                # Check when the dataframe has both rows and columns.
-                if not result.empty or len(result.columns) != 0:
+                # Validate the output schema when the result dataframe has either output
+                # rows or columns. Note that we avoid using `df.empty` here because the
+                # result dataframe may contain an empty row. For example, when a UDTF is
+                # defined as follows: def eval(self): yield tuple().
+                if len(result) > 0 or len(result.columns) > 0:
                     if len(result.columns) != len(return_type):
                         raise PySparkRuntimeError(
                             error_class="UDTF_RETURN_SCHEMA_MISMATCH",
@@ -580,6 +583,19 @@ def wrap_udtf(f, return_type):
             assert return_type.needConversion()
             toInternal = return_type.toInternal
 
+            def verify_and_convert_result(result):
+                # TODO(SPARK-44005): support returning non-tuple values
+                if result is not None and hasattr(result, "__len__"):
+                    if len(result) != len(return_type):
+                        raise PySparkRuntimeError(
+                            error_class="UDTF_RETURN_SCHEMA_MISMATCH",
+                            message_parameters={
+                                "expected": str(len(return_type)),
+                                "actual": str(len(result)),
+                            },
+                        )
+                return toInternal(result)
+
             # Evaluate the function and return a tuple back to the executor.
             def evaluate(*a) -> tuple:
                 res = f(*a)
@@ -591,7 +607,7 @@ def evaluate(*a) -> tuple:
                 else:
                     # If the function returns a result, we map it to the internal representation and
                     # returns the results as a tuple.
-                    return tuple(map(toInternal, res))
+                    return tuple(map(verify_and_convert_result, res))
 
             return evaluate
 

From 81a939d375bad482333a8e87f00d21dd64048b0e Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 28 Jul 2023 18:09:48 +0800
Subject: [PATCH 086/986] [SPARK-44552][SQL] Remove `private object ParseState`
 definition from `IntervalUtils`

### What changes were proposed in this pull request?
SPARK-44326(https://github.com/apache/spark/pull/41885) moved the relevant code from `IntervalUtils` to `SparkIntervalUtils` (including `private object ParseState` definition),

https://github.com/apache/spark/blob/6ca45c52b7416e7b3520dc902cb24f060c7c72dd/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkIntervalUtils.scala#L247-L260

but did not delete the definition of `private object ParseState` in `IntervalUtils`. So this pr cleans up it.

### Why are the changes needed?
Code cleanup.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass Github Actions

Closes #42165 from LuciferYang/SPARK-44552.

Lead-authored-by: yangjie01 <yangjie01@baidu.com>
Co-authored-by: YangJie <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 7ee9e43ec6891f26b36a090a83536d3cae682861)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/catalyst/util/IntervalUtils.scala   | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
index 6ba59b4e73085..24620e692a004 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
@@ -739,21 +739,6 @@ object IntervalUtils extends SparkIntervalUtils {
     fromDoubles(interval.months / num, interval.days / num, interval.microseconds / num)
   }
 
-  private object ParseState extends Enumeration {
-    type ParseState = Value
-
-    val PREFIX,
-        TRIM_BEFORE_SIGN,
-        SIGN,
-        TRIM_BEFORE_VALUE,
-        VALUE,
-        VALUE_FRACTIONAL_PART,
-        TRIM_BEFORE_UNIT,
-        UNIT_BEGIN,
-        UNIT_SUFFIX,
-        UNIT_END = Value
-  }
-
   /**
    * A safe version of `stringToInterval`. It returns null for invalid input string.
    */

From 0292231307681e70674d743ba382fed13b30d47a Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Fri, 28 Jul 2023 07:03:28 -0400
Subject: [PATCH 087/986] [SPARK-44538][CONNECT][SQL] Reinstate Row.jsonValue
 and friends

This PR reinstates `Row.jsonValue`, `Row.prettyJson` & `Row.json`.

`Row.jsonValue` and other json rendering is used in a couple of hard to remove places and there are also a couple of users using it. In order to support this we needed to move quite a few date time related classes.  We were going to move them anyway because they are also needed to decouple direct arrow encoding from catalyst.

No.

Existing tests.

Closes #42164 from hvanhovell/SPARK-44538.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 3dcee0ccf7e02acd162da652450b85d34dc4e297)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/avro/AvroDeserializer.scala     |   3 +-
 .../spark/sql/avro/AvroOutputWriter.scala     |   3 +-
 .../spark/sql/avro/AvroSerializer.scala       |   3 +-
 .../AvroCatalystDataConversionSuite.scala     |   4 +-
 .../spark/sql/avro/AvroRowReaderSuite.scala   |   2 +-
 .../spark/sql/avro/AvroSerdeSuite.scala       |   2 +-
 .../org/apache/spark/sql/avro/AvroSuite.scala |   4 +-
 .../client/arrow/ArrowDeserializer.scala      |   4 +-
 .../client/arrow/ArrowSerializer.scala        |  20 +-
 .../client/arrow/ArrowVectorReader.scala      |   2 +-
 .../apache/spark/sql/streaming/progress.scala |   5 +-
 .../client/arrow/ArrowEncoderSuite.scala      |   2 +-
 .../common/DataTypeProtoConverter.scala       |   4 +-
 .../common/LiteralValueProtoConverter.scala   |  17 +-
 .../gregorian-julian-rebase-micros.json       |   0
 .../julian-gregorian-rebase-micros.json       |   0
 .../main/scala/org/apache/spark/sql/Row.scala | 103 ++-
 .../sql/catalyst/JavaTypeInference.scala      |   8 +-
 .../spark/sql/catalyst/ScalaReflection.scala  |  12 +-
 .../sql/catalyst/encoders/RowEncoder.scala    |   7 +-
 .../catalyst/parser/DataTypeAstBuilder.scala  |   2 +-
 .../spark/sql/catalyst/parser/parsers.scala   |   3 +-
 .../sql/catalyst/util/DateFormatter.scala     |  16 +-
 .../util/DateTimeFormatterHelper.scala        |  43 +-
 .../spark/sql/catalyst/util/MathUtils.scala   |   4 +-
 .../sql/catalyst/util/RebaseDateTime.scala    |   8 +-
 .../catalyst/util/SparkCharVarcharUtils.scala |   2 +-
 .../catalyst/util/SparkDateTimeUtils.scala    | 572 ++++++++++++++++-
 .../catalyst/util/TimestampFormatter.scala    |  26 +-
 .../spark/sql/catalyst/util/UDTUtils.scala    |  58 ++
 .../spark/sql/errors/DataTypeErrors.scala     |   6 -
 .../spark/sql/errors/DataTypeErrorsBase.scala |  33 +-
 .../spark/sql/errors/EncoderErrors.scala      |  74 ---
 .../spark/sql/errors/ExecutionErrors.scala    | 211 +++++++
 .../spark/sql/errors/QueryParsingErrors.scala |   4 +-
 .../sql/internal/LegacyBehaviorPolicy.scala   |  21 +
 .../spark/sql/{ => internal}/SqlApiConf.scala |  12 +-
 .../org/apache/spark/sql/types/DataType.scala |   2 +-
 .../org/apache/spark/sql/types/Decimal.scala  |   2 +-
 .../apache/spark/sql/types/DecimalType.scala  |   2 +-
 .../apache/spark/sql/types/StructType.scala   |   2 +-
 .../apache/spark/sql/util/ArrowUtils.scala    |   8 +-
 .../catalyst/analysis/CTESubstitution.scala   |   3 +-
 .../spark/sql/catalyst/csv/CSVOptions.scala   |   3 +-
 .../sql/catalyst/csv/UnivocityParser.scala    |   6 +-
 .../spark/sql/catalyst/json/JSONOptions.scala |   3 +-
 .../sql/catalyst/json/JacksonParser.scala     |   6 +-
 .../sql/catalyst/util/DateTimeUtils.scala     | 586 +-----------------
 .../sql/catalyst/util/UDTUtilsImpl.scala}     |  25 +-
 .../sql/errors/QueryExecutionErrors.scala     |  94 +--
 .../sql/execution/arrow/ArrowWriter.scala     |   4 +-
 .../apache/spark/sql/internal/SQLConf.scala   |  13 +-
 .../apache/spark/sql/util/ToJsonUtil.scala    | 129 ----
 .../org/apache/spark/sql/RowJsonSuite.scala   |   7 +-
 .../scala/org/apache/spark/sql/RowTest.scala  |   3 +-
 .../catalyst/util/DateFormatterSuite.scala    |   3 +-
 .../util/TimestampFormatterSuite.scala        |   3 +-
 .../apache/spark/sql/execution/Columnar.scala |   4 +-
 .../datasources/DataSourceUtils.scala         |   3 +-
 .../datasources/parquet/ParquetFilters.scala  |   2 +-
 .../parquet/ParquetReadSupport.scala          |   3 +-
 .../datasources/parquet/ParquetUtils.scala    |   4 +-
 .../parquet/ParquetWriteSupport.scala         |   3 +-
 .../v2/parquet/ParquetScanBuilder.scala       |   2 +-
 .../apache/spark/sql/streaming/progress.scala |   3 +-
 .../errors/QueryExecutionErrorsSuite.scala    |   2 +-
 .../benchmark/DateTimeRebaseBenchmark.scala   |   4 +-
 .../execution/datasources/csv/CSVSuite.scala  |   3 +-
 .../parquet/ParquetFilterSuite.scala          |   5 +-
 .../parquet/ParquetRebaseDatetimeSuite.scala  |   6 +-
 .../sql/sources/HadoopFsRelationTest.scala    |   2 +-
 71 files changed, 1162 insertions(+), 1088 deletions(-)
 rename sql/{catalyst => api}/src/main/resources/gregorian-julian-rebase-micros.json (100%)
 rename sql/{catalyst => api}/src/main/resources/julian-gregorian-rebase-micros.json (100%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala (92%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala (93%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala (95%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala (99%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala (95%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtils.scala
 delete mode 100644 sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/internal/LegacyBehaviorPolicy.scala
 rename sql/api/src/main/scala/org/apache/spark/sql/{ => internal}/SqlApiConf.scala (86%)
 rename sql/{api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala => catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtilsImpl.scala} (51%)
 delete mode 100644 sql/catalyst/src/main/scala/org/apache/spark/sql/util/ToJsonUtil.scala

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
index 092a8f80b771b..d4d34a891e95e 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
@@ -37,8 +37,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeConstants.MILLIS_PER_DAY
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.DataSourceUtils
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
 
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOutputWriter.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOutputWriter.scala
index 44520bb92d14e..23dfe86b6bce1 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOutputWriter.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOutputWriter.scala
@@ -32,8 +32,7 @@ import org.apache.spark.SPARK_VERSION_SHORT
 import org.apache.spark.sql.{SPARK_LEGACY_DATETIME_METADATA_KEY, SPARK_TIMEZONE_METADATA_KEY, SPARK_VERSION_METADATA_KEY}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.execution.datasources.OutputWriter
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 
 // NOTE: This class is instantiated and used on executor side only, no need to be serializable.
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala
index c95d731f0dedd..34bf47613e7bf 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala
@@ -37,8 +37,7 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{SpecializedGetters, SpecificInternalRow}
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.execution.datasources.DataSourceUtils
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 
 /**
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
index 5c0d64b4d55eb..1cb34a0bc4dc5 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow, NoopF
 import org.apache.spark.sql.catalyst.expressions.{ExpressionEvalHelper, GenericInternalRow, Literal}
 import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, GenericArrayData, MapData}
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
 import org.apache.spark.sql.sources.{EqualTo, Not}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
@@ -286,7 +286,7 @@ class AvroCatalystDataConversionSuite extends SparkFunSuite
       schema,
       dataType,
       false,
-      RebaseSpec(SQLConf.LegacyBehaviorPolicy.CORRECTED),
+      RebaseSpec(LegacyBehaviorPolicy.CORRECTED),
       filters)
     val deserialized = deserializer.deserialize(data)
     expected match {
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
index cc0e178c617af..70d0bc6c0ad10 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
@@ -31,8 +31,8 @@ import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.{InternalRow, NoopFilters}
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
 import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.v2.avro.AvroScan
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
index bfd56613fd64c..7f99f3c737c86 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
@@ -22,7 +22,7 @@ import org.apache.avro.generic.GenericRecordBuilder
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.catalyst.NoopFilters
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy.CORRECTED
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy.CORRECTED
 import org.apache.spark.sql.types.{IntegerType, StructType}
 
 /**
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
index 35e9f43289c16..516c173c1184e 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
@@ -46,9 +46,9 @@ import org.apache.spark.sql.execution.{FormattedMode, SparkPlan}
 import org.apache.spark.sql.execution.datasources.{CommonFileDataSourceSuite, DataSource, FilePartition}
 import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
 import org.apache.spark.sql.functions.col
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.v2.avro.AvroScan
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 4177a88ba5219..cd3afeb7e90dc 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -37,7 +37,7 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
-import org.apache.spark.sql.errors.{DataTypeErrors, QueryCompilationErrors}
+import org.apache.spark.sql.errors.{ExecutionErrors, QueryCompilationErrors}
 import org.apache.spark.sql.types.Decimal
 
 /**
@@ -341,7 +341,7 @@ object ArrowDeserializers {
         }
 
       case (CalendarIntervalEncoder | _: UDTEncoder[_], _) =>
-        throw DataTypeErrors.unsupportedDataTypeError(encoder.dataType)
+        throw ExecutionErrors.unsupportedDataTypeError(encoder.dataType)
 
       case _ =>
         throw new RuntimeException(
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
index 9b39a75ceed84..94e01bbef31c7 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
@@ -37,8 +37,8 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
-import org.apache.spark.sql.catalyst.util.{DateTimeUtils, IntervalUtils}
-import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.catalyst.util.{IntervalUtils, SparkDateTimeUtils}
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.sql.util.ArrowUtils
 
@@ -323,37 +323,37 @@ object ArrowSerializer {
       case (DateEncoder(true) | LocalDateEncoder(true), v: DateDayVector) =>
         new FieldSerializer[Any, DateDayVector](v) {
           override def set(index: Int, value: Any): Unit =
-            vector.setSafe(index, DateTimeUtils.anyToDays(value))
+            vector.setSafe(index, SparkDateTimeUtils.anyToDays(value))
         }
       case (DateEncoder(false), v: DateDayVector) =>
         new FieldSerializer[java.sql.Date, DateDayVector](v) {
           override def set(index: Int, value: java.sql.Date): Unit =
-            vector.setSafe(index, DateTimeUtils.fromJavaDate(value))
+            vector.setSafe(index, SparkDateTimeUtils.fromJavaDate(value))
         }
       case (LocalDateEncoder(false), v: DateDayVector) =>
         new FieldSerializer[LocalDate, DateDayVector](v) {
           override def set(index: Int, value: LocalDate): Unit =
-            vector.setSafe(index, DateTimeUtils.localDateToDays(value))
+            vector.setSafe(index, SparkDateTimeUtils.localDateToDays(value))
         }
       case (TimestampEncoder(true) | InstantEncoder(true), v: TimeStampMicroTZVector) =>
         new FieldSerializer[Any, TimeStampMicroTZVector](v) {
           override def set(index: Int, value: Any): Unit =
-            vector.setSafe(index, DateTimeUtils.anyToMicros(value))
+            vector.setSafe(index, SparkDateTimeUtils.anyToMicros(value))
         }
       case (TimestampEncoder(false), v: TimeStampMicroTZVector) =>
         new FieldSerializer[java.sql.Timestamp, TimeStampMicroTZVector](v) {
           override def set(index: Int, value: java.sql.Timestamp): Unit =
-            vector.setSafe(index, DateTimeUtils.fromJavaTimestamp(value))
+            vector.setSafe(index, SparkDateTimeUtils.fromJavaTimestamp(value))
         }
       case (InstantEncoder(false), v: TimeStampMicroTZVector) =>
         new FieldSerializer[Instant, TimeStampMicroTZVector](v) {
           override def set(index: Int, value: Instant): Unit =
-            vector.setSafe(index, DateTimeUtils.instantToMicros(value))
+            vector.setSafe(index, SparkDateTimeUtils.instantToMicros(value))
         }
       case (LocalDateTimeEncoder, v: TimeStampMicroVector) =>
         new FieldSerializer[LocalDateTime, TimeStampMicroVector](v) {
           override def set(index: Int, value: LocalDateTime): Unit =
-            vector.setSafe(index, DateTimeUtils.localDateTimeToMicros(value))
+            vector.setSafe(index, SparkDateTimeUtils.localDateTimeToMicros(value))
         }
 
       case (OptionEncoder(value), v) =>
@@ -439,7 +439,7 @@ object ArrowSerializer {
         }
 
       case (CalendarIntervalEncoder | _: UDTEncoder[_], _) =>
-        throw DataTypeErrors.unsupportedDataTypeError(encoder.dataType)
+        throw ExecutionErrors.unsupportedDataTypeError(encoder.dataType)
 
       case _ =>
         throw new RuntimeException(s"Unsupported Encoder($encoder)/Vector($v) combination.")
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
index 9111b3b9ccf5d..63c6a0df5c83f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
@@ -26,8 +26,8 @@ import org.apache.arrow.vector.util.Text
 import org.apache.spark.sql.catalyst.expressions.Cast
 import org.apache.spark.sql.catalyst.util.{DateFormatter, IntervalUtils, StringUtils, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
-import org.apache.spark.sql.catalyst.util.DateTimeUtils._
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
+import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
 import org.apache.spark.sql.types.{DataType, DayTimeIntervalType, Decimal, YearMonthIntervalType}
 import org.apache.spark.sql.util.ArrowUtils
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/progress.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/progress.scala
index 123b3306f2a76..593311efb9c93 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/progress.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/progress.scala
@@ -37,7 +37,6 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.streaming.SafeJsonSerializer.{safeDoubleToJValue, safeMapToJValue}
 import org.apache.spark.sql.streaming.SinkProgress.DEFAULT_NUM_OUTPUT_ROWS
-import org.apache.spark.sql.util.ToJsonUtil
 
 /**
  * Information about updates made to stateful operators in a [[StreamingQuery]] during a trigger.
@@ -190,9 +189,7 @@ class StreamingQueryProgress private[spark] (
       ("stateOperators" -> JArray(stateOperators.map(_.jsonValue).toList)) ~
       ("sources" -> JArray(sources.map(_.jsonValue).toList)) ~
       ("sink" -> sink.jsonValue) ~
-      ("observedMetrics" -> safeMapToJValue[Row](
-        observedMetrics,
-        row => ToJsonUtil.jsonValue(row)))
+      ("observedMetrics" -> safeMapToJValue[Row](observedMetrics, row => row.jsonValue))
   }
 }
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 5c035a613fec7..7d5311e7312df 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -38,9 +38,9 @@ import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, B
 import org.apache.spark.sql.catalyst.encoders.RowEncoder.{encoderFor => toRowEncoder}
 import org.apache.spark.sql.catalyst.util.{DateFormatter, StringUtils, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
-import org.apache.spark.sql.catalyst.util.DateTimeUtils._
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
 import org.apache.spark.sql.catalyst.util.IntervalUtils._
+import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.types.{ArrayType, DataType, DayTimeIntervalType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType, YearMonthIntervalType}
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/DataTypeProtoConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/DataTypeProtoConverter.scala
index c2ef171498d46..bac3da25461c7 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/DataTypeProtoConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/DataTypeProtoConverter.scala
@@ -21,7 +21,7 @@ import scala.collection.convert.ImplicitConversions._
 
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.types._
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * Helper class for conversions between [[DataType]] and [[proto.DataType]].
@@ -124,7 +124,7 @@ object DataTypeProtoConverter {
     }
 
     if (t.hasJvmClass) {
-      Utils
+      SparkClassUtils
         .classForName[UserDefinedType[_]](t.getJvmClass)
         .getConstructor()
         .newInstance()
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
index fdd8559be48ec..f2abbf9c723ac 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
@@ -32,7 +32,7 @@ import com.google.protobuf.ByteString
 
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.catalyst.util.{DateTimeUtils, IntervalUtils}
+import org.apache.spark.sql.catalyst.util.{IntervalUtils, SparkDateTimeUtils}
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter._
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
@@ -88,10 +88,11 @@ object LiteralValueProtoConverter {
       case v: LocalDate => builder.setDate(v.toEpochDay.toInt)
       case v: Decimal =>
         builder.setDecimal(decimalBuilder(Math.max(v.precision, v.scale), v.scale, v.toString))
-      case v: Instant => builder.setTimestamp(DateTimeUtils.instantToMicros(v))
-      case v: Timestamp => builder.setTimestamp(DateTimeUtils.fromJavaTimestamp(v))
-      case v: LocalDateTime => builder.setTimestampNtz(DateTimeUtils.localDateTimeToMicros(v))
-      case v: Date => builder.setDate(DateTimeUtils.fromJavaDate(v))
+      case v: Instant => builder.setTimestamp(SparkDateTimeUtils.instantToMicros(v))
+      case v: Timestamp => builder.setTimestamp(SparkDateTimeUtils.fromJavaTimestamp(v))
+      case v: LocalDateTime =>
+        builder.setTimestampNtz(SparkDateTimeUtils.localDateTimeToMicros(v))
+      case v: Date => builder.setDate(SparkDateTimeUtils.fromJavaDate(v))
       case v: Duration => builder.setDayTimeInterval(IntervalUtils.durationToMicros(v))
       case v: Period => builder.setYearMonthInterval(IntervalUtils.periodToMonths(v))
       case v: Array[_] => builder.setArray(arrayBuilder(v))
@@ -263,13 +264,13 @@ object LiteralValueProtoConverter {
       case proto.Expression.Literal.LiteralTypeCase.STRING => literal.getString
 
       case proto.Expression.Literal.LiteralTypeCase.DATE =>
-        DateTimeUtils.toJavaDate(literal.getDate)
+        SparkDateTimeUtils.toJavaDate(literal.getDate)
 
       case proto.Expression.Literal.LiteralTypeCase.TIMESTAMP =>
-        DateTimeUtils.toJavaTimestamp(literal.getTimestamp)
+        SparkDateTimeUtils.toJavaTimestamp(literal.getTimestamp)
 
       case proto.Expression.Literal.LiteralTypeCase.TIMESTAMP_NTZ =>
-        DateTimeUtils.microsToLocalDateTime(literal.getTimestampNtz)
+        SparkDateTimeUtils.microsToLocalDateTime(literal.getTimestampNtz)
 
       case proto.Expression.Literal.LiteralTypeCase.CALENDAR_INTERVAL =>
         new CalendarInterval(
diff --git a/sql/catalyst/src/main/resources/gregorian-julian-rebase-micros.json b/sql/api/src/main/resources/gregorian-julian-rebase-micros.json
similarity index 100%
rename from sql/catalyst/src/main/resources/gregorian-julian-rebase-micros.json
rename to sql/api/src/main/resources/gregorian-julian-rebase-micros.json
diff --git a/sql/catalyst/src/main/resources/julian-gregorian-rebase-micros.json b/sql/api/src/main/resources/julian-gregorian-rebase-micros.json
similarity index 100%
rename from sql/catalyst/src/main/resources/julian-gregorian-rebase-micros.json
rename to sql/api/src/main/resources/julian-gregorian-rebase-micros.json
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/Row.scala b/sql/api/src/main/scala/org/apache/spark/sql/Row.scala
index 1765a5444df0f..94b446bf326d9 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/Row.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/Row.scala
@@ -17,13 +17,25 @@
 
 package org.apache.spark.sql
 
+import java.sql.{Date, Timestamp}
+import java.time.{Instant, LocalDate}
+import java.util.Base64
+
 import scala.collection.JavaConverters._
+import scala.collection.mutable
 import scala.util.hashing.MurmurHash3
 
-import org.apache.spark.annotation.Stable
+import org.json4s.{JArray, JBool, JDecimal, JDouble, JField, JLong, JNull, JObject, JString}
+import org.json4s.JsonAST.JValue
+import org.json4s.jackson.JsonMethods.{compact, pretty, render}
+
+import org.apache.spark.annotation.{Stable, Unstable}
 import org.apache.spark.sql.catalyst.expressions.GenericRow
+import org.apache.spark.sql.catalyst.util.{DateFormatter, SparkDateTimeUtils, TimestampFormatter, UDTUtils}
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.CalendarInterval
 
 /**
  * @since 1.3.0
@@ -513,4 +525,93 @@ trait Row extends Serializable {
   private def getAnyValAs[T <: AnyVal](i: Int): T =
     if (isNullAt(i)) throw DataTypeErrors.valueIsNullError(i)
     else getAs[T](i)
+
+  /**
+   * The compact JSON representation of this row.
+   * @since 3.0
+   */
+  @Unstable
+  def json: String = compact(jsonValue)
+
+  /**
+   * The pretty (i.e. indented) JSON representation of this row.
+   * @since 3.0
+   */
+  @Unstable
+  def prettyJson: String = pretty(render(jsonValue))
+
+  /**
+   * JSON representation of the row.
+   *
+   * Note that this only supports the data types that are also supported by
+   * [[org.apache.spark.sql.catalyst.encoders.RowEncoder]].
+   *
+   * @return the JSON representation of the row.
+   */
+  private[sql] def jsonValue: JValue = {
+    require(schema != null, "JSON serialization requires a non-null schema.")
+
+    lazy val zoneId = SparkDateTimeUtils.getZoneId(SqlApiConf.get.sessionLocalTimeZone)
+    lazy val dateFormatter = DateFormatter()
+    lazy val timestampFormatter = TimestampFormatter(zoneId)
+
+    // Convert an iterator of values to a json array
+    def iteratorToJsonArray(iterator: Iterator[_], elementType: DataType): JArray = {
+      JArray(iterator.map(toJson(_, elementType)).toList)
+    }
+
+    // Convert a value to json.
+    def toJson(value: Any, dataType: DataType): JValue = (value, dataType) match {
+      case (null, _) => JNull
+      case (b: Boolean, _) => JBool(b)
+      case (b: Byte, _) => JLong(b)
+      case (s: Short, _) => JLong(s)
+      case (i: Int, _) => JLong(i)
+      case (l: Long, _) => JLong(l)
+      case (f: Float, _) => JDouble(f)
+      case (d: Double, _) => JDouble(d)
+      case (d: BigDecimal, _) => JDecimal(d)
+      case (d: java.math.BigDecimal, _) => JDecimal(d)
+      case (d: Decimal, _) => JDecimal(d.toBigDecimal)
+      case (s: String, _) => JString(s)
+      case (b: Array[Byte], BinaryType) =>
+        JString(Base64.getEncoder.encodeToString(b))
+      case (d: LocalDate, _) => JString(dateFormatter.format(d))
+      case (d: Date, _) => JString(dateFormatter.format(d))
+      case (i: Instant, _) => JString(timestampFormatter.format(i))
+      case (t: Timestamp, _) => JString(timestampFormatter.format(t))
+      case (i: CalendarInterval, _) => JString(i.toString)
+      case (a: Array[_], ArrayType(elementType, _)) =>
+        iteratorToJsonArray(a.iterator, elementType)
+      case (a: mutable.ArraySeq[_], ArrayType(elementType, _)) =>
+        iteratorToJsonArray(a.iterator, elementType)
+      case (s: Seq[_], ArrayType(elementType, _)) =>
+        iteratorToJsonArray(s.iterator, elementType)
+      case (m: Map[String @unchecked, _], MapType(StringType, valueType, _)) =>
+        new JObject(m.toList.sortBy(_._1).map {
+          case (k, v) => k -> toJson(v, valueType)
+        })
+      case (m: Map[_, _], MapType(keyType, valueType, _)) =>
+        new JArray(m.iterator.map {
+          case (k, v) =>
+            new JObject("key" -> toJson(k, keyType) :: "value" -> toJson(v, valueType) :: Nil)
+        }.toList)
+      case (row: Row, schema: StructType) =>
+        var n = 0
+        val elements = new mutable.ListBuffer[JField]
+        val len = row.length
+        while (n < len) {
+          val field = schema(n)
+          elements += (field.name -> toJson(row(n), field.dataType))
+          n += 1
+        }
+        new JObject(elements.toList)
+      case (v: Any, udt: UserDefinedType[Any @unchecked]) =>
+        toJson(UDTUtils.toRow(v, udt), udt.sqlType)
+      case _ =>
+        throw new IllegalArgumentException(s"Failed to convert value $value " +
+          s"(class of ${value.getClass}}) with the type of $dataType to JSON.")
+    }
+    toJson(this, schema)
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index ec9e704c66d1d..f352d28a7b501 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -26,7 +26,7 @@ import scala.reflect.ClassTag
 
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ArrayEncoder, BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, DayTimeIntervalEncoder, DEFAULT_JAVA_DECIMAL_ENCODER, EncoderField, IterableEncoder, JavaBeanEncoder, JavaBigIntEncoder, JavaEnumEncoder, LocalDateTimeEncoder, MapEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, STRICT_DATE_ENCODER, STRICT_INSTANT_ENCODER, STRICT_LOCAL_DATE_ENCODER, STRICT_TIMESTAMP_ENCODER, StringEncoder, UDTEncoder, YearMonthIntervalEncoder}
-import org.apache.spark.sql.errors.EncoderErrors
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types._
 
 /**
@@ -115,7 +115,7 @@ object JavaTypeInference {
 
     case c: Class[_] =>
       if (seenTypeSet.contains(c)) {
-        throw EncoderErrors.cannotHaveCircularReferencesInBeanClassError(c)
+        throw ExecutionErrors.cannotHaveCircularReferencesInBeanClassError(c)
       }
 
       // TODO: we should only collect properties that have getter and setter. However, some tests
@@ -138,7 +138,7 @@ object JavaTypeInference {
       JavaBeanEncoder(ClassTag(c), fields)
 
     case _ =>
-      throw EncoderErrors.cannotFindEncoderForTypeError(t.toString)
+      throw ExecutionErrors.cannotFindEncoderForTypeError(t.toString)
   }
 
   def getJavaBeanReadableProperties(beanClass: Class[_]): Array[PropertyDescriptor] = {
@@ -196,7 +196,7 @@ object JavaTypeInference {
             }
         }
       }
-      throw EncoderErrors.unreachableError()
+      throw ExecutionErrors.unreachableError()
     }
   }
 
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
index 1f366393d25ce..5f063b4a9a6ad 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
@@ -30,7 +30,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
-import org.apache.spark.sql.errors.EncoderErrors
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
 
@@ -377,13 +377,13 @@ object ScalaReflection extends ScalaReflection {
 
       case t if definedByConstructorParams(t) =>
         if (seenTypeSet.contains(t)) {
-          throw EncoderErrors.cannotHaveCircularReferencesInClassError(t.toString)
+          throw ExecutionErrors.cannotHaveCircularReferencesInClassError(t.toString)
         }
         val params = getConstructorParameters(t).map {
           case (fieldName, fieldType) =>
             if (SourceVersion.isKeyword(fieldName) ||
               !SourceVersion.isIdentifier(encodeFieldNameToIdentifier(fieldName))) {
-              throw EncoderErrors.cannotUseInvalidJavaIdentifierAsFieldNameError(
+              throw ExecutionErrors.cannotUseInvalidJavaIdentifierAsFieldNameError(
                 fieldName,
                 path)
             }
@@ -396,7 +396,7 @@ object ScalaReflection extends ScalaReflection {
         }
         ProductEncoder(ClassTag(getClassFromType(t)), params)
       case _ =>
-        throw EncoderErrors.cannotFindEncoderForTypeError(tpe.toString)
+        throw ExecutionErrors.cannotFindEncoderForTypeError(tpe.toString)
     }
   }
 }
@@ -477,7 +477,7 @@ trait ScalaReflection extends Logging {
    */
   private def getCompanionConstructor(tpe: Type): Symbol = {
     def throwUnsupportedOperation = {
-      throw EncoderErrors.cannotFindConstructorForTypeError(tpe.toString)
+      throw ExecutionErrors.cannotFindConstructorForTypeError(tpe.toString)
     }
     tpe.typeSymbol.asClass.companion match {
       case NoSymbol => throwUnsupportedOperation
@@ -500,7 +500,7 @@ trait ScalaReflection extends Logging {
       val primaryConstructorSymbol: Option[Symbol] = constructorSymbol.asTerm.alternatives.find(
         s => s.isMethod && s.asMethod.isPrimaryConstructor)
       if (primaryConstructorSymbol.isEmpty) {
-        throw EncoderErrors.primaryConstructorNotFoundError(tpe.getClass)
+        throw ExecutionErrors.primaryConstructorNotFoundError(tpe.getClass)
       } else {
         primaryConstructorSymbol.get.asMethod.paramLists
       }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
index 5ab9c3bfc48b6..7d214768fbc06 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
@@ -20,9 +20,10 @@ package org.apache.spark.sql.catalyst.encoders
 import scala.collection.mutable
 import scala.reflect.classTag
 
-import org.apache.spark.sql.{Row, SqlApiConf}
+import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, CalendarIntervalEncoder, DateEncoder, DayTimeIntervalEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, LocalDateTimeEncoder, MapEncoder, NullEncoder, RowEncoder => AgnosticRowEncoder, StringEncoder, TimestampEncoder, UDTEncoder, YearMonthIntervalEncoder}
-import org.apache.spark.sql.errors.EncoderErrors
+import org.apache.spark.sql.errors.ExecutionErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types._
 
 /**
@@ -97,7 +98,7 @@ object RowEncoder {
         annotation.udt()
       } else {
         UDTRegistration.getUDTFor(udt.userClass.getName).getOrElse {
-          throw EncoderErrors.userDefinedTypeNotAnnotatedAndRegisteredError(udt)
+          throw ExecutionErrors.userDefinedTypeNotAnnotatedAndRegisteredError(udt)
         }
       }
       UDTEncoder(udt, udtClass.asInstanceOf[Class[_ <: UserDefinedType[_]]])
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
index f42137e2d3f6f..97027604fd838 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala
@@ -23,10 +23,10 @@ import scala.collection.JavaConverters._
 import org.antlr.v4.runtime.Token
 import org.antlr.v4.runtime.tree.ParseTree
 
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.parser.SqlBaseParser._
 import org.apache.spark.sql.catalyst.util.SparkParserUtils.{string, withOrigin}
 import org.apache.spark.sql.errors.QueryParsingErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{ArrayType, BinaryType, BooleanType, ByteType, CalendarIntervalType, CharType, DataType, DateType, DayTimeIntervalType, DecimalType, DoubleType, FloatType, IntegerType, LongType, MapType, MetadataBuilder, NullType, ShortType, StringType, StructField, StructType, TimestampNTZType, TimestampType, VarcharType, YearMonthIntervalType}
 
 class DataTypeAstBuilder extends SqlBaseParserBaseVisitor[AnyRef] {
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
index 39d369fed9468..c3a051be89bcc 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/parsers.scala
@@ -25,10 +25,11 @@ import org.antlr.v4.runtime.tree.TerminalNodeImpl
 
 import org.apache.spark.{QueryContext, SparkThrowable, SparkThrowableHelper}
 import org.apache.spark.internal.Logging
-import org.apache.spark.sql.{AnalysisException, SqlApiConf}
+import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin, WithOrigin}
 import org.apache.spark.sql.catalyst.util.SparkParserUtils
 import org.apache.spark.sql.errors.QueryParsingErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{DataType, StructType}
 
 /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala
similarity index 92%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala
index 0aa64bcf5b7fe..a41d2a0df4812 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateFormatter.scala
@@ -23,9 +23,9 @@ import java.util.{Date, Locale}
 
 import org.apache.commons.lang3.time.FastDateFormat
 
-import org.apache.spark.sql.catalyst.util.DateTimeUtils._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
+import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.unsafe.types.UTF8String
 
 sealed trait DateFormatter extends Serializable {
@@ -99,7 +99,7 @@ class DefaultDateFormatter(
 
   override def parse(s: String): Int = {
     try {
-      DateTimeUtils.stringToDateAnsi(UTF8String.fromString(s))
+      SparkDateTimeUtils.stringToDateAnsi(UTF8String.fromString(s))
     } catch checkParsedDiff(s, legacyFormatter.parse)
   }
 }
@@ -112,7 +112,7 @@ trait LegacyDateFormatter extends DateFormatter {
   }
 
   override def format(days: Int): String = {
-    format(DateTimeUtils.toJavaDate(days))
+    format(SparkDateTimeUtils.toJavaDate(days))
   }
 
   override def format(localDate: LocalDate): String = {
@@ -125,7 +125,7 @@ trait LegacyDateFormatter extends DateFormatter {
  * JVM time zone intentionally for compatibility with Spark 2.4 and earlier versions.
  *
  * Note: Using of the default JVM time zone makes the formatter compatible with the legacy
- *       `DateTimeUtils` methods `toJavaDate` and `fromJavaDate` that are based on the default
+ *       `SparkDateTimeUtils` methods `toJavaDate` and `fromJavaDate` that are based on the default
  *       JVM time zone too.
  *
  * @param pattern `java.text.SimpleDateFormat` compatible pattern.
@@ -145,7 +145,7 @@ class LegacyFastDateFormatter(pattern: String, locale: Locale) extends LegacyDat
  * JVM time zone intentionally for compatibility with Spark 2.4 and earlier versions.
  *
  * Note: Using of the default JVM time zone makes the formatter compatible with the legacy
- *       `DateTimeUtils` methods `toJavaDate` and `fromJavaDate` that are based on the default
+ *       `SparkDateTimeUtils` methods `toJavaDate` and `fromJavaDate` that are based on the default
  *       JVM time zone too.
  *
  * @param pattern The pattern describing the date and time format.
@@ -176,7 +176,7 @@ object DateFormatter {
       locale: Locale = defaultLocale,
       legacyFormat: LegacyDateFormat = LENIENT_SIMPLE_DATE_FORMAT,
       isParsing: Boolean): DateFormatter = {
-    if (SQLConf.get.legacyTimeParserPolicy == LEGACY) {
+    if (SqlApiConf.get.legacyTimeParserPolicy == LEGACY) {
       getLegacyFormatter(format.getOrElse(defaultPattern), locale, legacyFormat)
     } else {
       val df = format
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
similarity index 93%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
index fe14d74488cf5..43701d1d8ff07 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
@@ -21,15 +21,13 @@ import java.time._
 import java.time.chrono.IsoChronology
 import java.time.format.{DateTimeFormatter, DateTimeFormatterBuilder, ResolverStyle}
 import java.time.temporal.{ChronoField, TemporalAccessor, TemporalQueries}
-import java.util.{Date, Locale}
+import java.util
+import java.util.{Collections, Date, Locale}
 
-import com.google.common.cache.CacheBuilder
-
-import org.apache.spark.SPARK_DOC_ROOT
 import org.apache.spark.sql.catalyst.util.DateTimeFormatterHelper._
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
+import org.apache.spark.sql.errors.ExecutionErrors
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
+import org.apache.spark.sql.internal.SqlApiConf
 
 trait DateTimeFormatterHelper {
   private def getOrDefault(accessor: TemporalAccessor, field: ChronoField, default: Int): Int = {
@@ -46,7 +44,7 @@ trait DateTimeFormatterHelper {
       val actual = accessor.get(field)
       val expected = candidate.get(field)
       if (actual != expected) {
-        throw QueryExecutionErrors.fieldDiffersFromDerivedLocalDateError(
+        throw ExecutionErrors.fieldDiffersFromDerivedLocalDateError(
           field, actual, expected, candidate)
       }
     }
@@ -122,16 +120,11 @@ trait DateTimeFormatterHelper {
     val newPattern = convertIncompatiblePattern(pattern, isParsing)
     val useVarLen = isParsing && newPattern.contains('S')
     val key = (newPattern, locale, useVarLen)
-    var formatter = cache.getIfPresent(key)
-    if (formatter == null) {
-      formatter = buildFormatter(newPattern, locale, useVarLen)
-      cache.put(key, formatter)
-    }
-    formatter
+    cache.computeIfAbsent(key, _ => buildFormatter(newPattern, locale, useVarLen))
   }
 
   private def needConvertToSparkUpgradeException(e: Throwable): Boolean = e match {
-    case _: DateTimeException if SQLConf.get.legacyTimeParserPolicy == EXCEPTION => true
+    case _: DateTimeException if SqlApiConf.get.legacyTimeParserPolicy == EXCEPTION => true
     case _ => false
   }
   // When legacy time parser policy set to EXCEPTION, check whether we will get different results
@@ -146,7 +139,7 @@ trait DateTimeFormatterHelper {
       } catch {
         case _: Throwable => throw e
       }
-      throw QueryExecutionErrors.failToParseDateTimeInNewParserError(s, e)
+      throw ExecutionErrors.failToParseDateTimeInNewParserError(s, e)
   }
 
   // When legacy time parser policy set to EXCEPTION, check whether we will get different results
@@ -162,7 +155,7 @@ trait DateTimeFormatterHelper {
       } catch {
         case _: Throwable => throw e
       }
-      throw QueryExecutionErrors.failToParseDateTimeInNewParserError(resultCandidate, e)
+      throw ExecutionErrors.failToParseDateTimeInNewParserError(resultCandidate, e)
   }
 
   /**
@@ -185,20 +178,24 @@ trait DateTimeFormatterHelper {
       } catch {
         case _: Throwable => throw e
       }
-      throw QueryExecutionErrors.failToRecognizePatternAfterUpgradeError(
-        pattern, e, SPARK_DOC_ROOT)
+      throw ExecutionErrors.failToRecognizePatternAfterUpgradeError(pattern, e)
   }
 
   protected def checkInvalidPattern(pattern: String): PartialFunction[Throwable, Nothing] = {
     case e: IllegalArgumentException =>
-      throw QueryExecutionErrors.failToRecognizePatternError(pattern, e, SPARK_DOC_ROOT)
+      throw ExecutionErrors.failToRecognizePatternError(pattern, e)
   }
 }
 
 private object DateTimeFormatterHelper {
-  val cache = CacheBuilder.newBuilder()
-    .maximumSize(128)
-    .build[(String, Locale, Boolean), DateTimeFormatter]()
+  private type CacheKey = (String, Locale, Boolean)
+  private val cache: util.Map[CacheKey, DateTimeFormatter] =
+    Collections.synchronizedMap(new util.LinkedHashMap[CacheKey, DateTimeFormatter] {
+      override def removeEldestEntry(
+          eldest: util.Map.Entry[CacheKey, DateTimeFormatter]): Boolean = {
+        size() > 128
+      }
+    })
 
   final val extractor = "^([^S]*)(S*)(.*)$".r
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala
similarity index 95%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala
index b285b1df57264..7c1b37e9e5815 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/MathUtils.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.catalyst.util
 
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
-import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.errors.ExecutionErrors
 
 /**
  * Helper functions for arithmetic operations with overflow.
@@ -83,7 +83,7 @@ object MathUtils {
       f
     } catch {
       case e: ArithmeticException =>
-        throw QueryExecutionErrors.arithmeticOverflowError(e.getMessage, hint, context)
+        throw ExecutionErrors.arithmeticOverflowError(e.getMessage, hint, context)
     }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala
similarity index 99%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala
index a2a63e2af4272..f9566b0e1fb13 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/RebaseDateTime.scala
@@ -28,9 +28,9 @@ import com.fasterxml.jackson.databind.ObjectMapper
 import com.fasterxml.jackson.module.scala.{ClassTagExtensions, DefaultScalaModule}
 
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
-import org.apache.spark.sql.catalyst.util.DateTimeUtils._
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
-import org.apache.spark.util.Utils
+import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
+import org.apache.spark.util.SparkClassUtils
 
 /**
  * The collection of functions for rebasing days and microseconds from/to the hybrid calendar
@@ -278,7 +278,7 @@ object RebaseDateTime {
   // `JsonRebaseRecord`. AnyRefMap is used here instead of Scala's immutable map because
   // it is 2 times faster in DateTimeRebaseBenchmark.
   private[sql] def loadRebaseRecords(fileName: String): AnyRefMap[String, RebaseInfo] = {
-    val file = Utils.getSparkClassLoader.getResource(fileName)
+    val file = SparkClassUtils.getSparkClassLoader.getResource(fileName)
     val jsonRebaseRecords = mapper.readValue[Seq[JsonRebaseRecord]](file)
     val anyRefMap = new AnyRefMap[String, RebaseInfo]((3 * jsonRebaseRecords.size) / 2)
     jsonRebaseRecords.foreach { jsonRecord =>
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala
index 47b3ef9b05a86..498eb83566eb3 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkCharVarcharUtils.scala
@@ -16,8 +16,8 @@
  */
 package org.apache.spark.sql.catalyst.util
 
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{ArrayType, CharType, DataType, MapType, StringType, StructType, VarcharType}
 
 trait SparkCharVarcharUtils {
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
index e96da99c6b042..698e7b37a9ef0 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
@@ -16,9 +16,61 @@
  */
 package org.apache.spark.sql.catalyst.util
 
-import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_MILLIS
+import java.sql.{Date, Timestamp}
+import java.time.{Instant, LocalDate, LocalDateTime, LocalTime, ZonedDateTime, ZoneId, ZoneOffset}
+import java.util.TimeZone
+import java.util.concurrent.TimeUnit.{MICROSECONDS, NANOSECONDS}
+
+import scala.util.control.NonFatal
+
+import sun.util.calendar.ZoneInfo
+
+import org.apache.spark.sql.catalyst.trees.SQLQueryContext
+import org.apache.spark.sql.catalyst.util.DateTimeConstants._
+import org.apache.spark.sql.catalyst.util.RebaseDateTime.{rebaseGregorianToJulianDays, rebaseGregorianToJulianMicros, rebaseJulianToGregorianDays, rebaseJulianToGregorianMicros}
+import org.apache.spark.sql.errors.ExecutionErrors
+import org.apache.spark.sql.types.{DateType, TimestampType}
+import org.apache.spark.unsafe.types.UTF8String
+
+trait SparkDateTimeUtils {
+
+  final val TimeZoneUTC = TimeZone.getTimeZone("UTC")
+
+  def getZoneId(timeZoneId: String): ZoneId = {
+    val formattedZoneId = timeZoneId
+      // To support the (+|-)h:mm format because it was supported before Spark 3.0.
+      .replaceFirst("(\\+|\\-)(\\d):", "$10$2:")
+      // To support the (+|-)hh:m format because it was supported before Spark 3.0.
+      .replaceFirst("(\\+|\\-)(\\d\\d):(\\d)$", "$1$2:0$3")
+
+    ZoneId.of(formattedZoneId, ZoneId.SHORT_IDS)
+  }
+
+  def getTimeZone(timeZoneId: String): TimeZone = TimeZone.getTimeZone(getZoneId(timeZoneId))
+
+  /**
+   * Converts an Java object to days.
+   *
+   * @param obj Either an object of `java.sql.Date` or `java.time.LocalDate`.
+   * @return The number of days since 1970-01-01.
+   */
+  def anyToDays(obj: Any): Int = obj match {
+    case d: Date => fromJavaDate(d)
+    case ld: LocalDate => localDateToDays(ld)
+  }
+
+  /**
+   * Converts an Java object to microseconds.
+   *
+   * @param obj Either an object of `java.sql.Timestamp` or `java.time.{Instant,LocalDateTime}`.
+   * @return The number of micros since the epoch.
+   */
+  def anyToMicros(obj: Any): Long = obj match {
+    case t: Timestamp => fromJavaTimestamp(t)
+    case i: Instant => instantToMicros(i)
+    case ldt: LocalDateTime => localDateTimeToMicros(ldt)
+  }
 
-object SparkDateTimeUtils {
   /**
    * Converts the timestamp to milliseconds since epoch. In Spark timestamp values have microseconds
    * precision, so this conversion is lossy.
@@ -36,4 +88,520 @@ object SparkDateTimeUtils {
   def millisToMicros(millis: Long): Long = {
     Math.multiplyExact(millis, MICROS_PER_MILLIS)
   }
+
+  // See issue SPARK-35679
+  // min second cause overflow in instant to micro
+  private val MIN_SECONDS = Math.floorDiv(Long.MinValue, MICROS_PER_SECOND)
+
+  /**
+   * Obtains an instance of `java.time.Instant` using microseconds from
+   * the epoch of 1970-01-01 00:00:00Z.
+   */
+  def microsToInstant(micros: Long): Instant = {
+    val secs = Math.floorDiv(micros, MICROS_PER_SECOND)
+    // Unfolded Math.floorMod(us, MICROS_PER_SECOND) to reuse the result of
+    // the above calculation of `secs` via `floorDiv`.
+    val mos = micros - secs * MICROS_PER_SECOND
+    Instant.ofEpochSecond(secs, mos * NANOS_PER_MICROS)
+  }
+
+  /**
+   * Gets the number of microseconds since the epoch of 1970-01-01 00:00:00Z from the given
+   * instance of `java.time.Instant`. The epoch microsecond count is a simple incrementing count of
+   * microseconds where microsecond 0 is 1970-01-01 00:00:00Z.
+   */
+  def instantToMicros(instant: Instant): Long = {
+    val secs = instant.getEpochSecond
+    if (secs == MIN_SECONDS) {
+      val us = Math.multiplyExact(secs + 1, MICROS_PER_SECOND)
+      Math.addExact(us, NANOSECONDS.toMicros(instant.getNano) - MICROS_PER_SECOND)
+    } else {
+      val us = Math.multiplyExact(secs, MICROS_PER_SECOND)
+      Math.addExact(us, NANOSECONDS.toMicros(instant.getNano))
+    }
+  }
+
+  /**
+   * Converts the timestamp `micros` from one timezone to another.
+   *
+   * Time-zone rules, such as daylight savings, mean that not every local date-time
+   * is valid for the `toZone` time zone, thus the local date-time may be adjusted.
+   */
+  def convertTz(micros: Long, fromZone: ZoneId, toZone: ZoneId): Long = {
+    val rebasedDateTime = getLocalDateTime(micros, toZone).atZone(fromZone)
+    instantToMicros(rebasedDateTime.toInstant)
+  }
+
+  // Gets the local date-time parts (year, month, day and time) of the instant expressed as the
+  // number of microseconds since the epoch at the given time zone ID.
+  protected def getLocalDateTime(micros: Long, zoneId: ZoneId): LocalDateTime = {
+    microsToInstant(micros).atZone(zoneId).toLocalDateTime
+  }
+
+  def microsToLocalDateTime(micros: Long): LocalDateTime = {
+    getLocalDateTime(micros, ZoneOffset.UTC)
+  }
+
+  def localDateTimeToMicros(localDateTime: LocalDateTime): Long = {
+    instantToMicros(localDateTime.toInstant(ZoneOffset.UTC))
+  }
+
+  /**
+   * Converts the local date to the number of days since 1970-01-01.
+   */
+  def localDateToDays(localDate: LocalDate): Int = MathUtils.toIntExact(localDate.toEpochDay)
+
+  /**
+   * Obtains an instance of `java.time.LocalDate` from the epoch day count.
+   */
+  def daysToLocalDate(days: Int): LocalDate = LocalDate.ofEpochDay(days)
+
+  /**
+   * Converts microseconds since 1970-01-01 00:00:00Z to days since 1970-01-01 at the given zone ID.
+   */
+  def microsToDays(micros: Long, zoneId: ZoneId): Int = {
+    localDateToDays(getLocalDateTime(micros, zoneId).toLocalDate)
+  }
+
+  /**
+   * Converts days since 1970-01-01 at the given zone ID to microseconds since 1970-01-01 00:00:00Z.
+   */
+  def daysToMicros(days: Int, zoneId: ZoneId): Long = {
+    val instant = daysToLocalDate(days).atStartOfDay(zoneId).toInstant
+    instantToMicros(instant)
+  }
+
+  /**
+   * Converts a local date at the default JVM time zone to the number of days since 1970-01-01
+   * in the hybrid calendar (Julian + Gregorian) by discarding the time part. The resulted days are
+   * rebased from the hybrid to Proleptic Gregorian calendar. The days rebasing is performed via
+   * UTC time zone for simplicity because the difference between two calendars is the same in
+   * any given time zone and UTC time zone.
+   *
+   * Note: The date is shifted by the offset of the default JVM time zone for backward compatibility
+   *       with Spark 2.4 and earlier versions. The goal of the shift is to get a local date derived
+   *       from the number of days that has the same date fields (year, month, day) as the original
+   *       `date` at the default JVM time zone.
+   *
+   * @param date It represents a specific instant in time based on the hybrid calendar which
+   *             combines Julian and Gregorian calendars.
+   * @return The number of days since the epoch in Proleptic Gregorian calendar.
+   */
+  def fromJavaDate(date: Date): Int = {
+    val millisUtc = date.getTime
+    val millisLocal = millisUtc + TimeZone.getDefault.getOffset(millisUtc)
+    val julianDays = Math.toIntExact(Math.floorDiv(millisLocal, MILLIS_PER_DAY))
+    rebaseJulianToGregorianDays(julianDays)
+  }
+
+  /**
+   * Converts days since the epoch 1970-01-01 in Proleptic Gregorian calendar to a local date
+   * at the default JVM time zone in the hybrid calendar (Julian + Gregorian). It rebases the given
+   * days from Proleptic Gregorian to the hybrid calendar at UTC time zone for simplicity because
+   * the difference between two calendars doesn't depend on any time zone. The result is shifted
+   * by the time zone offset in wall clock to have the same date fields (year, month, day)
+   * at the default JVM time zone as the input `daysSinceEpoch` in Proleptic Gregorian calendar.
+   *
+   * Note: The date is shifted by the offset of the default JVM time zone for backward compatibility
+   *       with Spark 2.4 and earlier versions.
+   *
+   * @param days The number of days since 1970-01-01 in Proleptic Gregorian calendar.
+   * @return A local date in the hybrid calendar as `java.sql.Date` from number of days since epoch.
+   */
+  def toJavaDate(days: Int): Date = {
+    val rebasedDays = rebaseGregorianToJulianDays(days)
+    val localMillis = Math.multiplyExact(rebasedDays, MILLIS_PER_DAY)
+    val timeZoneOffset = TimeZone.getDefault match {
+      case zoneInfo: ZoneInfo => zoneInfo.getOffsetsByWall(localMillis, null)
+      case timeZone: TimeZone => timeZone.getOffset(localMillis - timeZone.getRawOffset)
+    }
+    new Date(localMillis - timeZoneOffset)
+  }
+
+  /**
+   * Converts microseconds since the epoch to an instance of `java.sql.Timestamp`
+   * via creating a local timestamp at the system time zone in Proleptic Gregorian
+   * calendar, extracting date and time fields like `year` and `hours`, and forming
+   * new timestamp in the hybrid calendar from the extracted fields.
+   *
+   * The conversion is based on the JVM system time zone because the `java.sql.Timestamp`
+   * uses the time zone internally.
+   *
+   * The method performs the conversion via local timestamp fields to have the same date-time
+   * representation as `year`, `month`, `day`, ..., `seconds` in the original calendar
+   * and in the target calendar.
+   *
+   * @param micros The number of microseconds since 1970-01-01T00:00:00.000000Z.
+   * @return A `java.sql.Timestamp` from number of micros since epoch.
+   */
+  def toJavaTimestamp(micros: Long): Timestamp =
+    toJavaTimestampNoRebase(rebaseGregorianToJulianMicros(micros))
+
+  /**
+   * Converts microseconds since the epoch to an instance of `java.sql.Timestamp`.
+   *
+   * @param micros The number of microseconds since 1970-01-01T00:00:00.000000Z.
+   * @return A `java.sql.Timestamp` from number of micros since epoch.
+   */
+  def toJavaTimestampNoRebase(micros: Long): Timestamp = {
+    val seconds = Math.floorDiv(micros, MICROS_PER_SECOND)
+    val ts = new Timestamp(seconds * MILLIS_PER_SECOND)
+    val nanos = (micros - seconds * MICROS_PER_SECOND) * NANOS_PER_MICROS
+    ts.setNanos(nanos.toInt)
+    ts
+  }
+
+  /**
+   * Converts an instance of `java.sql.Timestamp` to the number of microseconds since
+   * 1970-01-01T00:00:00.000000Z. It extracts date-time fields from the input, builds
+   * a local timestamp in Proleptic Gregorian calendar from the fields, and binds
+   * the timestamp to the system time zone. The resulted instant is converted to
+   * microseconds since the epoch.
+   *
+   * The conversion is performed via the system time zone because it is used internally
+   * in `java.sql.Timestamp` while extracting date-time fields.
+   *
+   * The goal of the function is to have the same local date-time in the original calendar
+   * - the hybrid calendar (Julian + Gregorian) and in the target calendar which is
+   * Proleptic Gregorian calendar, see SPARK-26651.
+   *
+   * @param t It represents a specific instant in time based on
+   *          the hybrid calendar which combines Julian and
+   *          Gregorian calendars.
+   * @return The number of micros since epoch from `java.sql.Timestamp`.
+   */
+  def fromJavaTimestamp(t: Timestamp): Long =
+    rebaseJulianToGregorianMicros(fromJavaTimestampNoRebase(t))
+
+  /**
+   * Converts an instance of `java.sql.Timestamp` to the number of microseconds since
+   * 1970-01-01T00:00:00.000000Z.
+   *
+   * @param t an instance of `java.sql.Timestamp`.
+   * @return The number of micros since epoch from `java.sql.Timestamp`.
+   */
+  def fromJavaTimestampNoRebase(t: Timestamp): Long =
+    millisToMicros(t.getTime) + (t.getNanos / NANOS_PER_MICROS) % MICROS_PER_MILLIS
+
+  /**
+   * Trims and parses a given UTF8 date string to a corresponding [[Int]] value.
+   * The return type is [[Option]] in order to distinguish between 0 and null. The following
+   * formats are allowed:
+   *
+   * `[+-]yyyy*`
+   * `[+-]yyyy*-[m]m`
+   * `[+-]yyyy*-[m]m-[d]d`
+   * `[+-]yyyy*-[m]m-[d]d `
+   * `[+-]yyyy*-[m]m-[d]d *`
+   * `[+-]yyyy*-[m]m-[d]dT*`
+   */
+  def stringToDate(s: UTF8String): Option[Int] = {
+    def isValidDigits(segment: Int, digits: Int): Boolean = {
+      // An integer is able to represent a date within [+-]5 million years.
+      val maxDigitsYear = 7
+      (segment == 0 && digits >= 4 && digits <= maxDigitsYear) ||
+        (segment != 0 && digits > 0 && digits <= 2)
+    }
+    if (s == null || s.trimAll().numBytes() == 0) {
+      return None
+    }
+    val segments: Array[Int] = Array[Int](1, 1, 1)
+    var sign = 1
+    var i = 0
+    var currentSegmentValue = 0
+    var currentSegmentDigits = 0
+    val bytes = s.trimAll().getBytes
+    var j = 0
+    if (bytes(j) == '-' || bytes(j) == '+') {
+      sign = if (bytes(j) == '-') -1 else 1
+      j += 1
+    }
+    while (j < bytes.length && (i < 3 && !(bytes(j) == ' ' || bytes(j) == 'T'))) {
+      val b = bytes(j)
+      if (i < 2 && b == '-') {
+        if (!isValidDigits(i, currentSegmentDigits)) {
+          return None
+        }
+        segments(i) = currentSegmentValue
+        currentSegmentValue = 0
+        currentSegmentDigits = 0
+        i += 1
+      } else {
+        val parsedValue = b - '0'.toByte
+        if (parsedValue < 0 || parsedValue > 9) {
+          return None
+        } else {
+          currentSegmentValue = currentSegmentValue * 10 + parsedValue
+          currentSegmentDigits += 1
+        }
+      }
+      j += 1
+    }
+    if (!isValidDigits(i, currentSegmentDigits)) {
+      return None
+    }
+    if (i < 2 && j < bytes.length) {
+      // For the `yyyy` and `yyyy-[m]m` formats, entire input must be consumed.
+      return None
+    }
+    segments(i) = currentSegmentValue
+    try {
+      val localDate = LocalDate.of(sign * segments(0), segments(1), segments(2))
+      Some(localDateToDays(localDate))
+    } catch {
+      case NonFatal(_) => None
+    }
+  }
+
+  def stringToDateAnsi(
+      s: UTF8String,
+      context: SQLQueryContext = null): Int = {
+    stringToDate(s).getOrElse {
+      throw ExecutionErrors.invalidInputInCastToDatetimeError(s, DateType, context)
+    }
+  }
+
+  /**
+   * Trims and parses a given UTF8 timestamp string to the corresponding timestamp segments,
+   * time zone id and whether it is just time without a date.
+   * value. The return type is [[Option]] in order to distinguish between 0L and null. The following
+   * formats are allowed:
+   *
+   * `[+-]yyyy*`
+   * `[+-]yyyy*-[m]m`
+   * `[+-]yyyy*-[m]m-[d]d`
+   * `[+-]yyyy*-[m]m-[d]d `
+   * `[+-]yyyy*-[m]m-[d]d [h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
+   * `[+-]yyyy*-[m]m-[d]dT[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
+   * `[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
+   * `T[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
+   *
+   * where `zone_id` should have one of the forms:
+   *   - Z - Zulu time zone UTC+0
+   *   - +|-[h]h:[m]m
+   *   - A short id, see https://docs.oracle.com/javase/8/docs/api/java/time/ZoneId.html#SHORT_IDS
+   *   - An id with one of the prefixes UTC+, UTC-, GMT+, GMT-, UT+ or UT-,
+   *     and a suffix in the formats:
+   *     - +|-h[h]
+   *     - +|-hh[:]mm
+   *     - +|-hh:mm:ss
+   *     - +|-hhmmss
+   *  - Region-based zone IDs in the form `area/city`, such as `Europe/Paris`
+   *
+   * @return timestamp segments, time zone id and whether the input is just time without a date. If
+   *         the input string can't be parsed as timestamp, the result timestamp segments are empty.
+   */
+  def parseTimestampString(s: UTF8String): (Array[Int], Option[ZoneId], Boolean) = {
+    def isValidDigits(segment: Int, digits: Int): Boolean = {
+      // A Long is able to represent a timestamp within [+-]200 thousand years
+      val maxDigitsYear = 6
+      // For the nanosecond part, more than 6 digits is allowed, but will be truncated.
+      segment == 6 || (segment == 0 && digits >= 4 && digits <= maxDigitsYear) ||
+        // For the zoneId segment(7), it's could be zero digits when it's a region-based zone ID
+        (segment == 7 && digits <= 2) ||
+        (segment != 0 && segment != 6 && segment != 7 && digits > 0 && digits <= 2)
+    }
+    if (s == null || s.trimAll().numBytes() == 0) {
+      return (Array.empty, None, false)
+    }
+    var tz: Option[String] = None
+    val segments: Array[Int] = Array[Int](1, 1, 1, 0, 0, 0, 0, 0, 0)
+    var i = 0
+    var currentSegmentValue = 0
+    var currentSegmentDigits = 0
+    val bytes = s.trimAll().getBytes
+    var j = 0
+    var digitsMilli = 0
+    var justTime = false
+    var yearSign: Option[Int] = None
+    if (bytes(j) == '-' || bytes(j) == '+') {
+      yearSign = if (bytes(j) == '-') Some(-1) else Some(1)
+      j += 1
+    }
+    while (j < bytes.length) {
+      val b = bytes(j)
+      val parsedValue = b - '0'.toByte
+      if (parsedValue < 0 || parsedValue > 9) {
+        if (j == 0 && b == 'T') {
+          justTime = true
+          i += 3
+        } else if (i < 2) {
+          if (b == '-') {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+          } else if (i == 0 && b == ':' && yearSign.isEmpty) {
+            justTime = true
+            if (!isValidDigits(3, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(3) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i = 4
+          } else {
+            return (Array.empty, None, false)
+          }
+        } else if (i == 2) {
+          if (b == ' ' || b == 'T') {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+          } else {
+            return (Array.empty, None, false)
+          }
+        } else if (i == 3 || i == 4) {
+          if (b == ':') {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+          } else {
+            return (Array.empty, None, false)
+          }
+        } else if (i == 5 || i == 6) {
+          if (b == '.' && i == 5) {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+          } else {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+            tz = Some(new String(bytes, j, bytes.length - j))
+            j = bytes.length - 1
+          }
+          if (i == 6  && b != '.') {
+            i += 1
+          }
+        } else {
+          if (i < segments.length && (b == ':' || b == ' ')) {
+            if (!isValidDigits(i, currentSegmentDigits)) {
+              return (Array.empty, None, false)
+            }
+            segments(i) = currentSegmentValue
+            currentSegmentValue = 0
+            currentSegmentDigits = 0
+            i += 1
+          } else {
+            return (Array.empty, None, false)
+          }
+        }
+      } else {
+        if (i == 6) {
+          digitsMilli += 1
+        }
+        // We will truncate the nanosecond part if there are more than 6 digits, which results
+        // in loss of precision
+        if (i != 6 || currentSegmentDigits < 6) {
+          currentSegmentValue = currentSegmentValue * 10 + parsedValue
+        }
+        currentSegmentDigits += 1
+      }
+      j += 1
+    }
+
+    if (!isValidDigits(i, currentSegmentDigits)) {
+      return (Array.empty, None, false)
+    }
+    segments(i) = currentSegmentValue
+
+    while (digitsMilli < 6) {
+      segments(6) *= 10
+      digitsMilli += 1
+    }
+
+    // This step also validates time zone part
+    val zoneId = tz.map(zoneName => getZoneId(zoneName.trim))
+    segments(0) *= yearSign.getOrElse(1)
+    (segments, zoneId, justTime)
+  }
+
+  /**
+   * Trims and parses a given UTF8 timestamp string to the corresponding a corresponding [[Long]]
+   * value. The return type is [[Option]] in order to distinguish between 0L and null. Please
+   * refer to `parseTimestampString` for the allowed formats
+   */
+  def stringToTimestamp(s: UTF8String, timeZoneId: ZoneId): Option[Long] = {
+    try {
+      val (segments, parsedZoneId, justTime) = parseTimestampString(s)
+      if (segments.isEmpty) {
+        return None
+      }
+      val zoneId = parsedZoneId.getOrElse(timeZoneId)
+      val nanoseconds = MICROSECONDS.toNanos(segments(6))
+      val localTime = LocalTime.of(segments(3), segments(4), segments(5), nanoseconds.toInt)
+      val localDate = if (justTime) {
+        LocalDate.now(zoneId)
+      } else {
+        LocalDate.of(segments(0), segments(1), segments(2))
+      }
+      val localDateTime = LocalDateTime.of(localDate, localTime)
+      val zonedDateTime = ZonedDateTime.of(localDateTime, zoneId)
+      val instant = Instant.from(zonedDateTime)
+      Some(instantToMicros(instant))
+    } catch {
+      case NonFatal(_) => None
+    }
+  }
+
+  def stringToTimestampAnsi(
+      s: UTF8String,
+      timeZoneId: ZoneId,
+      context: SQLQueryContext = null): Long = {
+    stringToTimestamp(s, timeZoneId).getOrElse {
+      throw ExecutionErrors.invalidInputInCastToDatetimeError(s, TimestampType, context)
+    }
+  }
+
+  /**
+   * Trims and parses a given UTF8 string to a corresponding [[Long]] value which representing the
+   * number of microseconds since the epoch. The result will be independent of time zones.
+   *
+   * If the input string contains a component associated with time zone, the method will return
+   * `None` if `allowTimeZone` is set to `false`. If `allowTimeZone` is set to `true`, the method
+   * will simply discard the time zone component. Enable the check to detect situations like parsing
+   * a timestamp with time zone as TimestampNTZType.
+   *
+   * The return type is [[Option]] in order to distinguish between 0L and null. Please
+   * refer to `parseTimestampString` for the allowed formats.
+   */
+  def stringToTimestampWithoutTimeZone(s: UTF8String, allowTimeZone: Boolean): Option[Long] = {
+    try {
+      val (segments, zoneIdOpt, justTime) = parseTimestampString(s)
+      // If the input string can't be parsed as a timestamp without time zone, or it contains only
+      // the time part of a timestamp and we can't determine its date, return None.
+      if (segments.isEmpty || justTime || !allowTimeZone && zoneIdOpt.isDefined) {
+        return None
+      }
+      val nanoseconds = MICROSECONDS.toNanos(segments(6))
+      val localTime = LocalTime.of(segments(3), segments(4), segments(5), nanoseconds.toInt)
+      val localDate = LocalDate.of(segments(0), segments(1), segments(2))
+      val localDateTime = LocalDateTime.of(localDate, localTime)
+      Some(localDateTimeToMicros(localDateTime))
+    } catch {
+      case NonFatal(_) => None
+    }
+  }
 }
+
+object SparkDateTimeUtils extends SparkDateTimeUtils
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
similarity index 95%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
index aab90ec3844da..8a288d0e9f3a3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
@@ -30,12 +30,12 @@ import scala.util.control.NonFatal
 import org.apache.commons.lang3.time.FastDateFormat
 
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
-import org.apache.spark.sql.catalyst.util.DateTimeUtils._
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.{LegacyDateFormat, LENIENT_SIMPLE_DATE_FORMAT}
 import org.apache.spark.sql.catalyst.util.RebaseDateTime._
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
+import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
+import org.apache.spark.sql.errors.ExecutionErrors
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{Decimal, TimestampNTZType}
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -212,11 +212,11 @@ class Iso8601TimestampFormatter(
       parsed: TemporalAccessor,
       allowTimeZone: Boolean): Long = {
     if (!allowTimeZone && parsed.query(TemporalQueries.zone()) != null) {
-      throw QueryExecutionErrors.cannotParseStringAsDataTypeError(pattern, s, TimestampNTZType)
+      throw ExecutionErrors.cannotParseStringAsDataTypeError(pattern, s, TimestampNTZType)
     }
     val localDate = toLocalDate(parsed)
     val localTime = toLocalTime(parsed)
-    DateTimeUtils.localDateTimeToMicros(LocalDateTime.of(localDate, localTime))
+    SparkDateTimeUtils.localDateTimeToMicros(LocalDateTime.of(localDate, localTime))
   }
 
   override def parseWithoutTimeZone(s: String, allowTimeZone: Boolean): Long = {
@@ -234,7 +234,7 @@ class Iso8601TimestampFormatter(
   }
 
   override def format(us: Long): String = {
-    val instant = DateTimeUtils.microsToInstant(us)
+    val instant = SparkDateTimeUtils.microsToInstant(us)
     format(instant)
   }
 
@@ -281,18 +281,18 @@ class DefaultTimestampFormatter(
 
   override def parse(s: String): Long = {
     try {
-      DateTimeUtils.stringToTimestampAnsi(UTF8String.fromString(s), zoneId)
+      SparkDateTimeUtils.stringToTimestampAnsi(UTF8String.fromString(s), zoneId)
     } catch checkParsedDiff(s, legacyFormatter.parse)
   }
 
   override def parseOptional(s: String): Option[Long] =
-    DateTimeUtils.stringToTimestamp(UTF8String.fromString(s), zoneId)
+    SparkDateTimeUtils.stringToTimestamp(UTF8String.fromString(s), zoneId)
 
   override def parseWithoutTimeZone(s: String, allowTimeZone: Boolean): Long = {
     try {
       val utf8Value = UTF8String.fromString(s)
-      DateTimeUtils.stringToTimestampWithoutTimeZone(utf8Value, allowTimeZone).getOrElse {
-        throw QueryExecutionErrors.cannotParseStringAsDataTypeError(
+      SparkDateTimeUtils.stringToTimestampWithoutTimeZone(utf8Value, allowTimeZone).getOrElse {
+        throw ExecutionErrors.cannotParseStringAsDataTypeError(
           TimestampFormatter.defaultPattern(), s, TimestampNTZType)
       }
     } catch checkParsedDiff(s, legacyFormatter.parse)
@@ -300,7 +300,7 @@ class DefaultTimestampFormatter(
 
   override def parseWithoutTimeZoneOptional(s: String, allowTimeZone: Boolean): Option[Long] = {
     val utf8Value = UTF8String.fromString(s)
-    DateTimeUtils.stringToTimestampWithoutTimeZone(utf8Value, allowTimeZone)
+    SparkDateTimeUtils.stringToTimestampWithoutTimeZone(utf8Value, allowTimeZone)
   }
 }
 
@@ -507,7 +507,7 @@ object TimestampFormatter {
       legacyFormat: LegacyDateFormat = LENIENT_SIMPLE_DATE_FORMAT,
       isParsing: Boolean,
       forTimestampNTZ: Boolean = false): TimestampFormatter = {
-    val formatter = if (SQLConf.get.legacyTimeParserPolicy == LEGACY && !forTimestampNTZ) {
+    val formatter = if (SqlApiConf.get.legacyTimeParserPolicy == LEGACY && !forTimestampNTZ) {
       getLegacyFormatter(format.getOrElse(defaultPattern), zoneId, locale, legacyFormat)
     } else {
       format
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtils.scala
new file mode 100644
index 0000000000000..98768a35e8a58
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtils.scala
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.util
+
+import scala.util.control.NonFatal
+
+import org.apache.spark.sql.types.UserDefinedType
+import org.apache.spark.util.SparkClassUtils
+
+/**
+ * Utilities for working with [[UserDefinedType]]s from within the `sql/api` project. UDTs are not
+ * not fully supported in `sql/api` (and connect), they can currently only be used in conjunction
+ * with catalyst because they (amongst others) require access to Spark SQLs internal data
+ * representation.
+ *
+ * This interface and its companion object provide an escape hatch for working with UDTs from within
+ * the api project (e.g. Row.toJSON). The companion will try to bind to an implementation of the
+ * interface in catalyst, if none is found it will bind to [[DefaultUDTUtils]].
+ */
+private[sql] trait UDTUtils {
+  /**
+   * Convert the UDT instance to something that is compatible with [[org.apache.spark.sql.Row]].
+   * The returned value must conform to the schema of the UDT.
+   */
+  def toRow(value: Any, udt: UserDefinedType[Any]): Any
+}
+
+private[sql] object UDTUtils extends UDTUtils {
+  private val delegate = try {
+    val cls = SparkClassUtils.classForName("org.apache.spark.sql.catalyst.util.UDTUtilsImpl")
+    cls.getConstructor().newInstance().asInstanceOf[UDTUtils]
+  } catch {
+    case NonFatal(_) =>
+      DefaultUDTUtils
+  }
+
+  override def toRow(value: Any, udt: UserDefinedType[Any]): Any = delegate.toRow(value, udt)
+}
+
+private[sql] object DefaultUDTUtils extends UDTUtils {
+  override def toRow(value: Any, udt: UserDefinedType[Any]): Any = {
+    throw new UnsupportedOperationException()
+  }
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
index 1dd3cf3dd5d83..fcc3086b57310 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
@@ -295,10 +295,4 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
       messageParameters = Map("operation" -> operation),
       cause = null)
   }
-
-  def unsupportedDataTypeError(typeName: DataType): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "UNSUPPORTED_DATATYPE",
-      messageParameters = Map("typeName" -> toSQLType(typeName)))
-  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
index 0f4cb88dcf175..95962f192f2f8 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
@@ -18,10 +18,11 @@ package org.apache.spark.sql.errors
 
 import java.util.Locale
 
-import org.apache.spark.{QueryContext, SparkRuntimeException}
+import org.apache.spark.QueryContext
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.catalyst.util.{AttributeNameParser, QuotingUtils, SparkStringUtils}
 import org.apache.spark.sql.types.{AbstractDataType, DataType, TypeCollection}
+import org.apache.spark.unsafe.types.UTF8String
 
 private[sql] trait DataTypeErrorsBase {
   def toSQLId(parts: String): String = {
@@ -54,7 +55,7 @@ private[sql] trait DataTypeErrorsBase {
     case at => quoteByDefault(at.simpleString.toUpperCase(Locale.ROOT))
   }
 
-  def dataTypeToSQLValue(value: String): String = {
+  def toSQLValue(value: String): String = {
     if (value == null) {
       "NULL"
     } else {
@@ -62,6 +63,28 @@ private[sql] trait DataTypeErrorsBase {
     }
   }
 
+  def toSQLValue(value: UTF8String): String = toSQLValue(value.toString)
+
+  def toSQLValue(value: Short): String = String.valueOf(value) + "S"
+
+  def toSQLValue(value: Int): String = String.valueOf(value)
+
+  def toSQLValue(value: Long): String = String.valueOf(value) + "L"
+
+  def toSQLValue(value: Float): String = {
+    if (value.isNaN) "NaN"
+    else if (value.isPosInfinity) "Infinity"
+    else if (value.isNegInfinity) "-Infinity"
+    else value.toString
+  }
+
+  def toSQLValue(value: Double): String = {
+    if (value.isNaN) "NaN"
+    else if (value.isPosInfinity) "Infinity"
+    else if (value.isNegInfinity) "-Infinity"
+    else value.toString
+  }
+
   protected def quoteByDefault(elem: String): String = {
     "\"" + elem + "\""
   }
@@ -73,10 +96,4 @@ private[sql] trait DataTypeErrorsBase {
   def getQueryContext(sqlContext: SQLQueryContext): Array[QueryContext] = {
     if (sqlContext == null) Array.empty else Array(sqlContext.asInstanceOf[QueryContext])
   }
-
-  def unreachableError(err: String = ""): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2028",
-      messageParameters = Map("err" -> err))
-  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala
deleted file mode 100644
index e70a5124ce730..0000000000000
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/EncoderErrors.scala
+++ /dev/null
@@ -1,74 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package org.apache.spark.sql.errors
-
-import org.apache.spark.{SparkBuildInfo, SparkException, SparkRuntimeException, SparkUnsupportedOperationException}
-import org.apache.spark.sql.catalyst.WalkedTypePath
-import org.apache.spark.sql.types.UserDefinedType
-
-object EncoderErrors extends DataTypeErrorsBase {
-  def userDefinedTypeNotAnnotatedAndRegisteredError(udt: UserDefinedType[_]): Throwable = {
-    new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2155",
-      messageParameters = Map(
-        "userClass" -> udt.userClass.getName),
-      cause = null)
-  }
-
-  def cannotFindEncoderForTypeError(typeName: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "ENCODER_NOT_FOUND",
-      messageParameters = Map(
-        "typeName" -> typeName,
-        "docroot" -> SparkBuildInfo.spark_doc_root))
-  }
-
-  def cannotHaveCircularReferencesInBeanClassError(
-      clazz: Class[_]): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2138",
-      messageParameters = Map("clazz" -> clazz.toString()))
-  }
-
-  def cannotFindConstructorForTypeError(tpe: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2144",
-      messageParameters = Map(
-        "tpe" -> tpe))
-  }
-
-  def cannotHaveCircularReferencesInClassError(t: String): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2139",
-      messageParameters = Map("t" -> t))
-  }
-
-  def cannotUseInvalidJavaIdentifierAsFieldNameError(
-      fieldName: String, walkedTypePath: WalkedTypePath): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "_LEGACY_ERROR_TEMP_2140",
-      messageParameters = Map(
-        "fieldName" -> fieldName,
-        "walkedTypePath" -> walkedTypePath.toString()))
-  }
-
-  def primaryConstructorNotFoundError(cls: Class[_]): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2021",
-      messageParameters = Map("cls" -> cls.toString()))
-  }
-}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
new file mode 100644
index 0000000000000..1e8e0ef5f6a7f
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
@@ -0,0 +1,211 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.errors
+
+import java.time.LocalDate
+import java.time.temporal.ChronoField
+
+import org.apache.arrow.vector.types.pojo.ArrowType
+
+import org.apache.spark.{SparkArithmeticException, SparkBuildInfo, SparkDateTimeException, SparkException, SparkRuntimeException, SparkUnsupportedOperationException, SparkUpgradeException}
+import org.apache.spark.sql.catalyst.WalkedTypePath
+import org.apache.spark.sql.catalyst.trees.SQLQueryContext
+import org.apache.spark.sql.internal.SqlApiConf
+import org.apache.spark.sql.types.{DataType, DoubleType, StringType, UserDefinedType}
+import org.apache.spark.unsafe.types.UTF8String
+
+private[sql] trait ExecutionErrors extends DataTypeErrorsBase {
+  def fieldDiffersFromDerivedLocalDateError(
+      field: ChronoField,
+      actual: Int,
+      expected: Int,
+      candidate: LocalDate): SparkDateTimeException = {
+    new SparkDateTimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2129",
+      messageParameters = Map(
+        "field" -> field.toString,
+        "actual" -> actual.toString,
+        "expected" -> expected.toString,
+        "candidate" -> candidate.toString),
+      context = Array.empty,
+      summary = "")
+  }
+
+  def failToParseDateTimeInNewParserError(s: String, e: Throwable): SparkUpgradeException = {
+    new SparkUpgradeException(
+      errorClass = "INCONSISTENT_BEHAVIOR_CROSS_VERSION.PARSE_DATETIME_BY_NEW_PARSER",
+      messageParameters = Map(
+        "datetime" -> toSQLValue(s),
+        "config" -> toSQLConf(SqlApiConf.LEGACY_TIME_PARSER_POLICY_KEY)),
+      e)
+  }
+
+  def failToRecognizePatternAfterUpgradeError(
+      pattern: String, e: Throwable): SparkUpgradeException = {
+    new SparkUpgradeException(
+      errorClass = "INCONSISTENT_BEHAVIOR_CROSS_VERSION.DATETIME_PATTERN_RECOGNITION",
+      messageParameters = Map(
+        "pattern" -> toSQLValue(pattern),
+        "config" -> toSQLConf(SqlApiConf.LEGACY_TIME_PARSER_POLICY_KEY),
+        "docroot" -> SparkBuildInfo.spark_doc_root),
+      e)
+  }
+
+  def failToRecognizePatternError(pattern: String, e: Throwable): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2130",
+      messageParameters = Map(
+        "pattern" -> toSQLValue(pattern),
+        "docroot" -> SparkBuildInfo.spark_doc_root),
+      cause = e)
+  }
+
+  def unreachableError(err: String = ""): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2028",
+      messageParameters = Map("err" -> err))
+  }
+
+  def invalidInputInCastToDatetimeError(
+      value: UTF8String,
+      to: DataType,
+      context: SQLQueryContext): SparkDateTimeException = {
+    invalidInputInCastToDatetimeErrorInternal(toSQLValue(value), StringType, to, context)
+  }
+
+  def invalidInputInCastToDatetimeError(
+     value: Double,
+     to: DataType,
+     context: SQLQueryContext): SparkDateTimeException = {
+    invalidInputInCastToDatetimeErrorInternal(toSQLValue(value), DoubleType, to, context)
+  }
+
+  protected def invalidInputInCastToDatetimeErrorInternal(
+      sqlValue: String,
+      from: DataType,
+      to: DataType,
+      context: SQLQueryContext): SparkDateTimeException = {
+    new SparkDateTimeException(
+      errorClass = "CAST_INVALID_INPUT",
+      messageParameters = Map(
+        "expression" -> sqlValue,
+        "sourceType" -> toSQLType(from),
+        "targetType" -> toSQLType(to),
+        "ansiConfig" -> toSQLConf(SqlApiConf.ANSI_ENABLED_KEY)),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def arithmeticOverflowError(
+      message: String,
+      hint: String = "",
+      context: SQLQueryContext = null): ArithmeticException = {
+    val alternative = if (hint.nonEmpty) {
+      s" Use '$hint' to tolerate overflow and return NULL instead."
+    } else ""
+    new SparkArithmeticException(
+      errorClass = "ARITHMETIC_OVERFLOW",
+      messageParameters = Map(
+        "message" -> message,
+        "alternative" -> alternative,
+        "config" -> toSQLConf(SqlApiConf.ANSI_ENABLED_KEY)),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def cannotParseStringAsDataTypeError(pattern: String, value: String, dataType: DataType)
+  : SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2134",
+      messageParameters = Map(
+        "value" -> toSQLValue(value),
+        "pattern" -> toSQLValue(pattern),
+        "dataType" -> dataType.toString))
+  }
+
+  def unsupportedArrowTypeError(typeName: ArrowType): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_ARROWTYPE",
+      messageParameters = Map("typeName" -> typeName.toString))
+  }
+
+  def duplicatedFieldNameInArrowStructError(
+      fieldNames: Seq[String]): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT",
+      messageParameters = Map("fieldNames" -> fieldNames.mkString("[", ", ", "]")))
+  }
+
+  def unsupportedDataTypeError(typeName: DataType): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_DATATYPE",
+      messageParameters = Map("typeName" -> toSQLType(typeName)))
+  }
+
+  def userDefinedTypeNotAnnotatedAndRegisteredError(udt: UserDefinedType[_]): Throwable = {
+    new SparkException(
+      errorClass = "_LEGACY_ERROR_TEMP_2155",
+      messageParameters = Map(
+        "userClass" -> udt.userClass.getName),
+      cause = null)
+  }
+
+  def cannotFindEncoderForTypeError(typeName: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "ENCODER_NOT_FOUND",
+      messageParameters = Map(
+        "typeName" -> typeName,
+        "docroot" -> SparkBuildInfo.spark_doc_root))
+  }
+
+  def cannotHaveCircularReferencesInBeanClassError(
+      clazz: Class[_]): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2138",
+      messageParameters = Map("clazz" -> clazz.toString))
+  }
+
+  def cannotFindConstructorForTypeError(tpe: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2144",
+      messageParameters = Map(
+        "tpe" -> tpe))
+  }
+
+  def cannotHaveCircularReferencesInClassError(t: String): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2139",
+      messageParameters = Map("t" -> t))
+  }
+
+  def cannotUseInvalidJavaIdentifierAsFieldNameError(
+      fieldName: String, walkedTypePath: WalkedTypePath): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "_LEGACY_ERROR_TEMP_2140",
+      messageParameters = Map(
+        "fieldName" -> fieldName,
+        "walkedTypePath" -> walkedTypePath.toString))
+  }
+
+  def primaryConstructorNotFoundError(cls: Class[_]): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2021",
+      messageParameters = Map("cls" -> cls.toString))
+  }
+}
+
+private[sql] object ExecutionErrors extends ExecutionErrors
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
index 2bd385787dd6f..f63fc8c4785bc 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
@@ -184,7 +184,7 @@ private[sql] object QueryParsingErrors extends DataTypeErrorsBase {
   def invalidEscapeStringError(invalidEscape: String, ctx: PredicateContext): Throwable = {
     new ParseException(
       errorClass = "INVALID_ESC",
-      messageParameters = Map("invalidEscape" -> dataTypeToSQLValue(invalidEscape)),
+      messageParameters = Map("invalidEscape" -> toSQLValue(invalidEscape)),
       ctx)
   }
 
@@ -208,7 +208,7 @@ private[sql] object QueryParsingErrors extends DataTypeErrorsBase {
       errorClass = "INVALID_TYPED_LITERAL",
       messageParameters = Map(
         "valueType" -> toSQLType(valueType),
-        "value" -> dataTypeToSQLValue(value)
+        "value" -> toSQLValue(value)
       ),
       ctx)
   }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/internal/LegacyBehaviorPolicy.scala b/sql/api/src/main/scala/org/apache/spark/sql/internal/LegacyBehaviorPolicy.scala
new file mode 100644
index 0000000000000..03ff85f2b97bd
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/internal/LegacyBehaviorPolicy.scala
@@ -0,0 +1,21 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.internal
+
+object LegacyBehaviorPolicy extends Enumeration {
+  val EXCEPTION, LEGACY, CORRECTED = Value
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
similarity index 86%
rename from sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
index 66398495d9008..bdc4a5759a147 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
@@ -14,9 +14,9 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql
-
+package org.apache.spark.sql.internal
 
+import java.util.TimeZone
 import java.util.concurrent.atomic.AtomicReference
 
 import scala.util.Try
@@ -42,9 +42,15 @@ private[sql] trait SqlApiConf {
   def allowNegativeScaleOfDecimalEnabled: Boolean
   def charVarcharAsString: Boolean
   def datetimeJava8ApiEnabled: Boolean
+  def sessionLocalTimeZone: String
+  def legacyTimeParserPolicy: LegacyBehaviorPolicy.Value
 }
 
 private[sql] object SqlApiConf {
+  // Shared keys.
+  val ANSI_ENABLED_KEY: String = "spark.sql.ansi.enabled"
+  val LEGACY_TIME_PARSER_POLICY_KEY: String = "spark.sql.legacy.timeParserPolicy"
+
   /**
    * Defines a getter that returns the [[SqlApiConf]] within scope.
    */
@@ -78,4 +84,6 @@ private[sql] object DefaultSqlApiConf extends SqlApiConf {
   override def allowNegativeScaleOfDecimalEnabled: Boolean = false
   override def charVarcharAsString: Boolean = false
   override def datetimeJava8ApiEnabled: Boolean = false
+  override def sessionLocalTimeZone: String = TimeZone.getDefault.getID
+  override def legacyTimeParserPolicy: LegacyBehaviorPolicy.Value = LegacyBehaviorPolicy.EXCEPTION
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
index 632091a9a8c07..2bd88d5975634 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala
@@ -29,12 +29,12 @@ import org.json4s.jackson.JsonMethods._
 
 import org.apache.spark.SparkThrowable
 import org.apache.spark.annotation.Stable
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.analysis.SqlApiAnalysis
 import org.apache.spark.sql.catalyst.parser.DataTypeParser
 import org.apache.spark.sql.catalyst.util.DataTypeJsonUtils.{DataTypeJsonDeserializer, DataTypeJsonSerializer}
 import org.apache.spark.sql.catalyst.util.StringConcat
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.DayTimeIntervalType._
 import org.apache.spark.sql.types.YearMonthIntervalType._
 import org.apache.spark.util.SparkClassUtils
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
index 40186dab822f1..afe73635a6824 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
@@ -22,9 +22,9 @@ import java.math.{BigDecimal => JavaBigDecimal, BigInteger, MathContext, Roundin
 import scala.util.Try
 
 import org.apache.spark.annotation.Unstable
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.unsafe.types.UTF8String
 
 /**
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
index bc06888e4cf45..af545341dee7a 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
@@ -22,8 +22,8 @@ import java.util.Locale
 import scala.annotation.tailrec
 
 import org.apache.spark.annotation.Stable
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 
 /**
  * The data type representing `java.math.BigDecimal` values.
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
index 9eabc6a70bc8e..8edc7cf370b7d 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
@@ -24,12 +24,12 @@ import scala.util.control.NonFatal
 import org.json4s.JsonDSL._
 
 import org.apache.spark.annotation.Stable
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.analysis.SqlApiAnalysis
 import org.apache.spark.sql.catalyst.parser.{DataTypeParser, LegacyTypeStringParser}
 import org.apache.spark.sql.catalyst.trees.Origin
 import org.apache.spark.sql.catalyst.util.{SparkCollectionUtils, SparkStringUtils, StringConcat}
 import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.internal.SqlApiConf
 
 /**
  * A [[StructType]] object can be constructed by
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
index 49990f7f033eb..506cb8c564cfe 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala
@@ -26,7 +26,7 @@ import org.apache.arrow.vector.complex.MapVector
 import org.apache.arrow.vector.types.{DateUnit, FloatingPointPrecision, IntervalUnit, TimeUnit}
 import org.apache.arrow.vector.types.pojo.{ArrowType, Field, FieldType, Schema}
 
-import org.apache.spark.sql.errors.{ArrowErrors, DataTypeErrors}
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types._
 
 private[sql] object ArrowUtils {
@@ -60,7 +60,7 @@ private[sql] object ArrowUtils {
     case _: YearMonthIntervalType => new ArrowType.Interval(IntervalUnit.YEAR_MONTH)
     case _: DayTimeIntervalType => new ArrowType.Duration(TimeUnit.MICROSECOND)
     case _ =>
-      throw DataTypeErrors.unsupportedDataTypeError(dt)
+      throw ExecutionErrors.unsupportedDataTypeError(dt)
   }
 
   def fromArrowType(dt: ArrowType): DataType = dt match {
@@ -85,7 +85,7 @@ private[sql] object ArrowUtils {
     case ArrowType.Null.INSTANCE => NullType
     case yi: ArrowType.Interval if yi.getUnit == IntervalUnit.YEAR_MONTH => YearMonthIntervalType()
     case di: ArrowType.Duration if di.getUnit == TimeUnit.MICROSECOND => DayTimeIntervalType()
-    case _ => throw ArrowErrors.unsupportedArrowTypeError(dt)
+    case _ => throw ExecutionErrors.unsupportedArrowTypeError(dt)
   }
 
   /** Maps field from Spark to Arrow. NOTE: timeZoneId required for TimestampType */
@@ -179,7 +179,7 @@ private[sql] object ArrowUtils {
         st.names
       } else {
         if (errorOnDuplicatedFieldNames) {
-          throw ArrowErrors.duplicatedFieldNameInArrowStructError(st.names)
+          throw ExecutionErrors.duplicatedFieldNameInArrowStructError(st.names)
         }
         val genNawName = st.names.groupBy(identity).map {
           case (name, names) if names.length > 1 =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
index 4e3234f9c0dc2..954f5f19cd3ec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
@@ -25,7 +25,8 @@ import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.TreePattern._
 import org.apache.spark.sql.catalyst.util.TypeUtils._
 import org.apache.spark.sql.errors.QueryCompilationErrors
-import org.apache.spark.sql.internal.SQLConf.{LEGACY_CTE_PRECEDENCE_POLICY, LegacyBehaviorPolicy}
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.SQLConf.LEGACY_CTE_PRECEDENCE_POLICY
 
 /**
  * Analyze WITH nodes and substitute child plan with CTE references or CTE definitions depending
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
index f4ad1f2f2e54f..845c815c5648b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
@@ -27,8 +27,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.{DataSourceOptions, FileSourceOptions}
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 
 class CSVOptions(
     @transient val parameters: CaseInsensitiveMap[String],
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
index a02d57c0bc7d0..b99ee630d4b22 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.sources.Filter
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
@@ -126,14 +126,14 @@ class UnivocityParser(
     options.enableDateTimeParsingFallback
       .orElse(SQLConf.get.csvEnableDateTimeParsingFallback)
       .getOrElse {
-        SQLConf.get.legacyTimeParserPolicy == SQLConf.LegacyBehaviorPolicy.LEGACY ||
+        SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
           options.timestampFormatInRead.isEmpty
       }
   private val enableParsingFallbackForDateType =
     options.enableDateTimeParsingFallback
       .orElse(SQLConf.get.csvEnableDateTimeParsingFallback)
       .getOrElse {
-        SQLConf.get.legacyTimeParserPolicy == SQLConf.LegacyBehaviorPolicy.LEGACY ||
+        SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
           options.dateFormatOption.isEmpty
       }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
index c06f411c505ff..596d9e39b9494 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
@@ -27,8 +27,7 @@ import com.fasterxml.jackson.core.json.JsonReadFeature
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.{DataSourceOptions, FileSourceOptions}
 import org.apache.spark.sql.catalyst.util._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 
 /**
  * Options for parsing JSON data into Spark SQL rows.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
index 03dce431837a5..388edb9024ca1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
@@ -33,7 +33,7 @@ import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.sources.Filter
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
@@ -85,14 +85,14 @@ class JacksonParser(
     options.enableDateTimeParsingFallback
       .orElse(SQLConf.get.jsonEnableDateTimeParsingFallback)
       .getOrElse {
-        SQLConf.get.legacyTimeParserPolicy == SQLConf.LegacyBehaviorPolicy.LEGACY ||
+        SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
           options.timestampFormatInRead.isEmpty
       }
   private val enableParsingFallbackForDateType =
     options.enableDateTimeParsingFallback
       .orElse(SQLConf.get.jsonEnableDateTimeParsingFallback)
       .getOrElse {
-        SQLConf.get.legacyTimeParserPolicy == SQLConf.LegacyBehaviorPolicy.LEGACY ||
+        SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
           options.dateFormatInRead.isEmpty
       }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala
index 1142b6184dd0d..23bbc91c16d54 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala
@@ -17,21 +17,17 @@
 
 package org.apache.spark.sql.catalyst.util
 
-import java.sql.{Date, Timestamp}
 import java.time._
 import java.time.temporal.{ChronoField, ChronoUnit, IsoFields, Temporal}
-import java.util.{Locale, TimeZone}
+import java.util.Locale
 import java.util.concurrent.TimeUnit._
 
 import scala.util.control.NonFatal
 
-import sun.util.calendar.ZoneInfo
-
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
-import org.apache.spark.sql.catalyst.util.RebaseDateTime._
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.types.{DateType, Decimal, DoubleExactNumeric, DoubleType, StringType, TimestampNTZType, TimestampType}
+import org.apache.spark.sql.types.{Decimal, DoubleExactNumeric, TimestampNTZType, TimestampType}
 import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
 
 /**
@@ -41,185 +37,14 @@ import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
  * and are stored internally as longs, which are capable of storing timestamps with microsecond
  * precision.
  */
-object DateTimeUtils {
+object DateTimeUtils extends SparkDateTimeUtils {
 
   // See http://stackoverflow.com/questions/466321/convert-unix-timestamp-to-julian
   // It's 2440587.5, rounding up to be compatible with Hive.
   final val JULIAN_DAY_OF_EPOCH = 2440588
 
-  final val TimeZoneUTC = TimeZone.getTimeZone("UTC")
-
   val TIMEZONE_OPTION = "timeZone"
 
-  def getZoneId(timeZoneId: String): ZoneId = {
-    val formattedZoneId = timeZoneId
-      // To support the (+|-)h:mm format because it was supported before Spark 3.0.
-      .replaceFirst("(\\+|\\-)(\\d):", "$10$2:")
-      // To support the (+|-)hh:m format because it was supported before Spark 3.0.
-      .replaceFirst("(\\+|\\-)(\\d\\d):(\\d)$", "$1$2:0$3")
-
-    ZoneId.of(formattedZoneId, ZoneId.SHORT_IDS)
-  }
-  def getTimeZone(timeZoneId: String): TimeZone = TimeZone.getTimeZone(getZoneId(timeZoneId))
-
-  /**
-   * Converts microseconds since 1970-01-01 00:00:00Z to days since 1970-01-01 at the given zone ID.
-   */
-  def microsToDays(micros: Long, zoneId: ZoneId): Int = {
-    localDateToDays(getLocalDateTime(micros, zoneId).toLocalDate)
-  }
-
-  /**
-   * Converts days since 1970-01-01 at the given zone ID to microseconds since 1970-01-01 00:00:00Z.
-   */
-  def daysToMicros(days: Int, zoneId: ZoneId): Long = {
-    val instant = daysToLocalDate(days).atStartOfDay(zoneId).toInstant
-    instantToMicros(instant)
-  }
-
-  def microsToLocalDateTime(micros: Long): LocalDateTime = {
-    getLocalDateTime(micros, ZoneOffset.UTC)
-  }
-
-  def localDateTimeToMicros(localDateTime: LocalDateTime): Long = {
-    instantToMicros(localDateTime.toInstant(ZoneOffset.UTC))
-  }
-
-  /**
-   * Converts a local date at the default JVM time zone to the number of days since 1970-01-01
-   * in the hybrid calendar (Julian + Gregorian) by discarding the time part. The resulted days are
-   * rebased from the hybrid to Proleptic Gregorian calendar. The days rebasing is performed via
-   * UTC time zone for simplicity because the difference between two calendars is the same in
-   * any given time zone and UTC time zone.
-   *
-   * Note: The date is shifted by the offset of the default JVM time zone for backward compatibility
-   *       with Spark 2.4 and earlier versions. The goal of the shift is to get a local date derived
-   *       from the number of days that has the same date fields (year, month, day) as the original
-   *       `date` at the default JVM time zone.
-   *
-   * @param date It represents a specific instant in time based on the hybrid calendar which
-   *             combines Julian and Gregorian calendars.
-   * @return The number of days since the epoch in Proleptic Gregorian calendar.
-   */
-  def fromJavaDate(date: Date): Int = {
-    val millisUtc = date.getTime
-    val millisLocal = millisUtc + TimeZone.getDefault.getOffset(millisUtc)
-    val julianDays = Math.toIntExact(Math.floorDiv(millisLocal, MILLIS_PER_DAY))
-    rebaseJulianToGregorianDays(julianDays)
-  }
-
-  /**
-   * Converts an Java object to days.
-   *
-   * @param obj Either an object of `java.sql.Date` or `java.time.LocalDate`.
-   * @return The number of days since 1970-01-01.
-   */
-  def anyToDays(obj: Any): Int = obj match {
-    case d: Date => fromJavaDate(d)
-    case ld: LocalDate => localDateToDays(ld)
-  }
-
-  /**
-   * Converts days since the epoch 1970-01-01 in Proleptic Gregorian calendar to a local date
-   * at the default JVM time zone in the hybrid calendar (Julian + Gregorian). It rebases the given
-   * days from Proleptic Gregorian to the hybrid calendar at UTC time zone for simplicity because
-   * the difference between two calendars doesn't depend on any time zone. The result is shifted
-   * by the time zone offset in wall clock to have the same date fields (year, month, day)
-   * at the default JVM time zone as the input `daysSinceEpoch` in Proleptic Gregorian calendar.
-   *
-   * Note: The date is shifted by the offset of the default JVM time zone for backward compatibility
-   *       with Spark 2.4 and earlier versions.
-   *
-   * @param days The number of days since 1970-01-01 in Proleptic Gregorian calendar.
-   * @return A local date in the hybrid calendar as `java.sql.Date` from number of days since epoch.
-   */
-  def toJavaDate(days: Int): Date = {
-    val rebasedDays = rebaseGregorianToJulianDays(days)
-    val localMillis = Math.multiplyExact(rebasedDays, MILLIS_PER_DAY)
-    val timeZoneOffset = TimeZone.getDefault match {
-      case zoneInfo: ZoneInfo => zoneInfo.getOffsetsByWall(localMillis, null)
-      case timeZone: TimeZone => timeZone.getOffset(localMillis - timeZone.getRawOffset)
-    }
-    new Date(localMillis - timeZoneOffset)
-  }
-
-  /**
-   * Converts microseconds since the epoch to an instance of `java.sql.Timestamp`
-   * via creating a local timestamp at the system time zone in Proleptic Gregorian
-   * calendar, extracting date and time fields like `year` and `hours`, and forming
-   * new timestamp in the hybrid calendar from the extracted fields.
-   *
-   * The conversion is based on the JVM system time zone because the `java.sql.Timestamp`
-   * uses the time zone internally.
-   *
-   * The method performs the conversion via local timestamp fields to have the same date-time
-   * representation as `year`, `month`, `day`, ..., `seconds` in the original calendar
-   * and in the target calendar.
-   *
-   * @param micros The number of microseconds since 1970-01-01T00:00:00.000000Z.
-   * @return A `java.sql.Timestamp` from number of micros since epoch.
-   */
-  def toJavaTimestamp(micros: Long): Timestamp =
-    toJavaTimestampNoRebase(rebaseGregorianToJulianMicros(micros))
-
-  /**
-   * Converts microseconds since the epoch to an instance of `java.sql.Timestamp`.
-   *
-   * @param micros The number of microseconds since 1970-01-01T00:00:00.000000Z.
-   * @return A `java.sql.Timestamp` from number of micros since epoch.
-   */
-  def toJavaTimestampNoRebase(micros: Long): Timestamp = {
-    val seconds = Math.floorDiv(micros, MICROS_PER_SECOND)
-    val ts = new Timestamp(seconds * MILLIS_PER_SECOND)
-    val nanos = (micros - seconds * MICROS_PER_SECOND) * NANOS_PER_MICROS
-    ts.setNanos(nanos.toInt)
-    ts
-  }
-
-  /**
-   * Converts an instance of `java.sql.Timestamp` to the number of microseconds since
-   * 1970-01-01T00:00:00.000000Z. It extracts date-time fields from the input, builds
-   * a local timestamp in Proleptic Gregorian calendar from the fields, and binds
-   * the timestamp to the system time zone. The resulted instant is converted to
-   * microseconds since the epoch.
-   *
-   * The conversion is performed via the system time zone because it is used internally
-   * in `java.sql.Timestamp` while extracting date-time fields.
-   *
-   * The goal of the function is to have the same local date-time in the original calendar
-   * - the hybrid calendar (Julian + Gregorian) and in the target calendar which is
-   * Proleptic Gregorian calendar, see SPARK-26651.
-   *
-   * @param t It represents a specific instant in time based on
-   *          the hybrid calendar which combines Julian and
-   *          Gregorian calendars.
-   * @return The number of micros since epoch from `java.sql.Timestamp`.
-   */
-  def fromJavaTimestamp(t: Timestamp): Long =
-    rebaseJulianToGregorianMicros(fromJavaTimestampNoRebase(t))
-
-  /**
-   * Converts an instance of `java.sql.Timestamp` to the number of microseconds since
-   * 1970-01-01T00:00:00.000000Z.
-   *
-   * @param t an instance of `java.sql.Timestamp`.
-   * @return The number of micros since epoch from `java.sql.Timestamp`.
-   */
-  def fromJavaTimestampNoRebase(t: Timestamp): Long =
-    millisToMicros(t.getTime) + (t.getNanos / NANOS_PER_MICROS) % MICROS_PER_MILLIS
-
-  /**
-   * Converts an Java object to microseconds.
-   *
-   * @param obj Either an object of `java.sql.Timestamp` or `java.time.{Instant,LocalDateTime}`.
-   * @return The number of micros since the epoch.
-   */
-  def anyToMicros(obj: Any): Long = obj match {
-    case t: Timestamp => fromJavaTimestamp(t)
-    case i: Instant => instantToMicros(i)
-    case ldt: LocalDateTime => localDateTimeToMicros(ldt)
-  }
-
   /**
    * Returns the number of microseconds since epoch from Julian day and nanoseconds in a day.
    */
@@ -240,281 +65,19 @@ object DateTimeUtils {
     (days.toInt, MICROSECONDS.toNanos(us))
   }
 
-  /**
-   * Converts the timestamp to milliseconds since epoch. In Spark timestamp values have microseconds
-   * precision, so this conversion is lossy.
-   */
-  def microsToMillis(micros: Long): Long = {
-    // When the timestamp is negative i.e before 1970, we need to adjust the milliseconds portion.
-    // Example - 1965-01-01 10:11:12.123456 is represented as (-157700927876544) in micro precision.
-    // In millis precision the above needs to be represented as (-157700927877).
-    Math.floorDiv(micros, MICROS_PER_MILLIS)
-  }
-
-  /**
-   * Converts milliseconds since the epoch to microseconds.
-   */
-  def millisToMicros(millis: Long): Long = {
-    SparkDateTimeUtils.millisToMicros(millis)
-  }
-
   private final val gmtUtf8 = UTF8String.fromString("GMT")
   // The method is called by JSON/CSV parser to clean up the legacy timestamp string by removing
   // the "GMT" string. For example, it returns 2000-01-01T00:00+01:00 for 2000-01-01T00:00GMT+01:00.
   def cleanLegacyTimestampStr(s: UTF8String): UTF8String = s.replace(gmtUtf8, UTF8String.EMPTY_UTF8)
 
-  /**
-   * Trims and parses a given UTF8 timestamp string to the corresponding timestamp segments,
-   * time zone id and whether it is just time without a date.
-   * value. The return type is [[Option]] in order to distinguish between 0L and null. The following
-   * formats are allowed:
-   *
-   * `[+-]yyyy*`
-   * `[+-]yyyy*-[m]m`
-   * `[+-]yyyy*-[m]m-[d]d`
-   * `[+-]yyyy*-[m]m-[d]d `
-   * `[+-]yyyy*-[m]m-[d]d [h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
-   * `[+-]yyyy*-[m]m-[d]dT[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
-   * `[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
-   * `T[h]h:[m]m:[s]s.[ms][ms][ms][us][us][us][zone_id]`
-   *
-   * where `zone_id` should have one of the forms:
-   *   - Z - Zulu time zone UTC+0
-   *   - +|-[h]h:[m]m
-   *   - A short id, see https://docs.oracle.com/javase/8/docs/api/java/time/ZoneId.html#SHORT_IDS
-   *   - An id with one of the prefixes UTC+, UTC-, GMT+, GMT-, UT+ or UT-,
-   *     and a suffix in the formats:
-   *     - +|-h[h]
-   *     - +|-hh[:]mm
-   *     - +|-hh:mm:ss
-   *     - +|-hhmmss
-   *  - Region-based zone IDs in the form `area/city`, such as `Europe/Paris`
-   *
-   * @return timestamp segments, time zone id and whether the input is just time without a date. If
-   *         the input string can't be parsed as timestamp, the result timestamp segments are empty.
-   */
-  def parseTimestampString(s: UTF8String): (Array[Int], Option[ZoneId], Boolean) = {
-    def isValidDigits(segment: Int, digits: Int): Boolean = {
-      // A Long is able to represent a timestamp within [+-]200 thousand years
-      val maxDigitsYear = 6
-      // For the nanosecond part, more than 6 digits is allowed, but will be truncated.
-      segment == 6 || (segment == 0 && digits >= 4 && digits <= maxDigitsYear) ||
-        // For the zoneId segment(7), it's could be zero digits when it's a region-based zone ID
-        (segment == 7 && digits <= 2) ||
-        (segment != 0 && segment != 6 && segment != 7 && digits > 0 && digits <= 2)
-    }
-    if (s == null || s.trimAll().numBytes() == 0) {
-      return (Array.empty, None, false)
-    }
-    var tz: Option[String] = None
-    val segments: Array[Int] = Array[Int](1, 1, 1, 0, 0, 0, 0, 0, 0)
-    var i = 0
-    var currentSegmentValue = 0
-    var currentSegmentDigits = 0
-    val bytes = s.trimAll().getBytes
-    var j = 0
-    var digitsMilli = 0
-    var justTime = false
-    var yearSign: Option[Int] = None
-    if (bytes(j) == '-' || bytes(j) == '+') {
-      yearSign = if (bytes(j) == '-') Some(-1) else Some(1)
-      j += 1
-    }
-    while (j < bytes.length) {
-      val b = bytes(j)
-      val parsedValue = b - '0'.toByte
-      if (parsedValue < 0 || parsedValue > 9) {
-        if (j == 0 && b == 'T') {
-          justTime = true
-          i += 3
-        } else if (i < 2) {
-          if (b == '-') {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-          } else if (i == 0 && b == ':' && yearSign.isEmpty) {
-            justTime = true
-            if (!isValidDigits(3, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(3) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i = 4
-          } else {
-            return (Array.empty, None, false)
-          }
-        } else if (i == 2) {
-          if (b == ' ' || b == 'T') {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-          } else {
-            return (Array.empty, None, false)
-          }
-        } else if (i == 3 || i == 4) {
-          if (b == ':') {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-          } else {
-            return (Array.empty, None, false)
-          }
-        } else if (i == 5 || i == 6) {
-          if (b == '.' && i == 5) {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-          } else {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-            tz = Some(new String(bytes, j, bytes.length - j))
-            j = bytes.length - 1
-          }
-          if (i == 6  && b != '.') {
-            i += 1
-          }
-        } else {
-          if (i < segments.length && (b == ':' || b == ' ')) {
-            if (!isValidDigits(i, currentSegmentDigits)) {
-              return (Array.empty, None, false)
-            }
-            segments(i) = currentSegmentValue
-            currentSegmentValue = 0
-            currentSegmentDigits = 0
-            i += 1
-          } else {
-            return (Array.empty, None, false)
-          }
-        }
-      } else {
-        if (i == 6) {
-          digitsMilli += 1
-        }
-        // We will truncate the nanosecond part if there are more than 6 digits, which results
-        // in loss of precision
-        if (i != 6 || currentSegmentDigits < 6) {
-          currentSegmentValue = currentSegmentValue * 10 + parsedValue
-        }
-        currentSegmentDigits += 1
-      }
-      j += 1
-    }
-
-    if (!isValidDigits(i, currentSegmentDigits)) {
-      return (Array.empty, None, false)
-    }
-    segments(i) = currentSegmentValue
-
-    while (digitsMilli < 6) {
-      segments(6) *= 10
-      digitsMilli += 1
-    }
-
-    // This step also validates time zone part
-    val zoneId = tz.map(zoneName => getZoneId(zoneName.trim))
-    segments(0) *= yearSign.getOrElse(1)
-    (segments, zoneId, justTime)
-  }
-
-  /**
-   * Trims and parses a given UTF8 timestamp string to the corresponding a corresponding [[Long]]
-   * value. The return type is [[Option]] in order to distinguish between 0L and null. Please
-   * refer to `parseTimestampString` for the allowed formats
-   */
-  def stringToTimestamp(s: UTF8String, timeZoneId: ZoneId): Option[Long] = {
-    try {
-      val (segments, parsedZoneId, justTime) = parseTimestampString(s)
-      if (segments.isEmpty) {
-        return None
-      }
-      val zoneId = parsedZoneId.getOrElse(timeZoneId)
-      val nanoseconds = MICROSECONDS.toNanos(segments(6))
-      val localTime = LocalTime.of(segments(3), segments(4), segments(5), nanoseconds.toInt)
-      val localDate = if (justTime) {
-        LocalDate.now(zoneId)
-      } else {
-        LocalDate.of(segments(0), segments(1), segments(2))
-      }
-      val localDateTime = LocalDateTime.of(localDate, localTime)
-      val zonedDateTime = ZonedDateTime.of(localDateTime, zoneId)
-      val instant = Instant.from(zonedDateTime)
-      Some(instantToMicros(instant))
-    } catch {
-      case NonFatal(_) => None
-    }
-  }
-
-  def stringToTimestampAnsi(
-      s: UTF8String,
-      timeZoneId: ZoneId,
-      context: SQLQueryContext = null): Long = {
-    stringToTimestamp(s, timeZoneId).getOrElse {
-      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(
-        s, StringType, TimestampType, context)
-    }
-  }
-
   def doubleToTimestampAnsi(d: Double, context: SQLQueryContext): Long = {
     if (d.isNaN || d.isInfinite) {
-      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(
-        d, DoubleType, TimestampType, context)
+      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(d, TimestampType, context)
     } else {
       DoubleExactNumeric.toLong(d * MICROS_PER_SECOND)
     }
   }
 
-  /**
-   * Trims and parses a given UTF8 string to a corresponding [[Long]] value which representing the
-   * number of microseconds since the epoch. The result will be independent of time zones.
-   *
-   * If the input string contains a component associated with time zone, the method will return
-   * `None` if `allowTimeZone` is set to `false`. If `allowTimeZone` is set to `true`, the method
-   * will simply discard the time zone component. Enable the check to detect situations like parsing
-   * a timestamp with time zone as TimestampNTZType.
-   *
-   * The return type is [[Option]] in order to distinguish between 0L and null. Please
-   * refer to `parseTimestampString` for the allowed formats.
-   */
-  def stringToTimestampWithoutTimeZone(s: UTF8String, allowTimeZone: Boolean): Option[Long] = {
-    try {
-      val (segments, zoneIdOpt, justTime) = parseTimestampString(s)
-      // If the input string can't be parsed as a timestamp without time zone, or it contains only
-      // the time part of a timestamp and we can't determine its date, return None.
-      if (segments.isEmpty || justTime || !allowTimeZone && zoneIdOpt.isDefined) {
-        return None
-      }
-      val nanoseconds = MICROSECONDS.toNanos(segments(6))
-      val localTime = LocalTime.of(segments(3), segments(4), segments(5), nanoseconds.toInt)
-      val localDate = LocalDate.of(segments(0), segments(1), segments(2))
-      val localDateTime = LocalDateTime.of(localDate, localTime)
-      Some(localDateTimeToMicros(localDateTime))
-    } catch {
-      case NonFatal(_) => None
-    }
-  }
-
   /**
    * Trims and parses a given UTF8 string to a corresponding [[Long]] value which representing the
    * number of microseconds since the epoch. The result is independent of time zones. Zone id
@@ -530,138 +93,10 @@ object DateTimeUtils {
       s: UTF8String,
       context: SQLQueryContext): Long = {
     stringToTimestampWithoutTimeZone(s, true).getOrElse {
-      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(
-        s, StringType, TimestampNTZType, context)
-    }
-  }
-
-  // See issue SPARK-35679
-  // min second cause overflow in instant to micro
-  private val MIN_SECONDS = Math.floorDiv(Long.MinValue, MICROS_PER_SECOND)
-
-  /**
-   * Gets the number of microseconds since the epoch of 1970-01-01 00:00:00Z from the given
-   * instance of `java.time.Instant`. The epoch microsecond count is a simple incrementing count of
-   * microseconds where microsecond 0 is 1970-01-01 00:00:00Z.
-   */
-  def instantToMicros(instant: Instant): Long = {
-    val secs = instant.getEpochSecond
-    if (secs == MIN_SECONDS) {
-      val us = Math.multiplyExact(secs + 1, MICROS_PER_SECOND)
-      Math.addExact(us, NANOSECONDS.toMicros(instant.getNano) - MICROS_PER_SECOND)
-    } else {
-      val us = Math.multiplyExact(secs, MICROS_PER_SECOND)
-      Math.addExact(us, NANOSECONDS.toMicros(instant.getNano))
+      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(s, TimestampNTZType, context)
     }
   }
 
-  /**
-   * Obtains an instance of `java.time.Instant` using microseconds from
-   * the epoch of 1970-01-01 00:00:00Z.
-   */
-  def microsToInstant(micros: Long): Instant = {
-    val secs = Math.floorDiv(micros, MICROS_PER_SECOND)
-    // Unfolded Math.floorMod(us, MICROS_PER_SECOND) to reuse the result of
-    // the above calculation of `secs` via `floorDiv`.
-    val mos = micros - secs * MICROS_PER_SECOND
-    Instant.ofEpochSecond(secs, mos * NANOS_PER_MICROS)
-  }
-
-  /**
-   * Converts the local date to the number of days since 1970-01-01.
-   */
-  def localDateToDays(localDate: LocalDate): Int = MathUtils.toIntExact(localDate.toEpochDay)
-
-  /**
-   * Obtains an instance of `java.time.LocalDate` from the epoch day count.
-   */
-  def daysToLocalDate(days: Int): LocalDate = LocalDate.ofEpochDay(days)
-
-  /**
-   * Trims and parses a given UTF8 date string to a corresponding [[Int]] value.
-   * The return type is [[Option]] in order to distinguish between 0 and null. The following
-   * formats are allowed:
-   *
-   * `[+-]yyyy*`
-   * `[+-]yyyy*-[m]m`
-   * `[+-]yyyy*-[m]m-[d]d`
-   * `[+-]yyyy*-[m]m-[d]d `
-   * `[+-]yyyy*-[m]m-[d]d *`
-   * `[+-]yyyy*-[m]m-[d]dT*`
-   */
-  def stringToDate(s: UTF8String): Option[Int] = {
-    def isValidDigits(segment: Int, digits: Int): Boolean = {
-      // An integer is able to represent a date within [+-]5 million years.
-      val maxDigitsYear = 7
-      (segment == 0 && digits >= 4 && digits <= maxDigitsYear) ||
-        (segment != 0 && digits > 0 && digits <= 2)
-    }
-    if (s == null || s.trimAll().numBytes() == 0) {
-      return None
-    }
-    val segments: Array[Int] = Array[Int](1, 1, 1)
-    var sign = 1
-    var i = 0
-    var currentSegmentValue = 0
-    var currentSegmentDigits = 0
-    val bytes = s.trimAll().getBytes
-    var j = 0
-    if (bytes(j) == '-' || bytes(j) == '+') {
-      sign = if (bytes(j) == '-') -1 else 1
-      j += 1
-    }
-    while (j < bytes.length && (i < 3 && !(bytes(j) == ' ' || bytes(j) == 'T'))) {
-      val b = bytes(j)
-      if (i < 2 && b == '-') {
-        if (!isValidDigits(i, currentSegmentDigits)) {
-          return None
-        }
-        segments(i) = currentSegmentValue
-        currentSegmentValue = 0
-        currentSegmentDigits = 0
-        i += 1
-      } else {
-        val parsedValue = b - '0'.toByte
-        if (parsedValue < 0 || parsedValue > 9) {
-          return None
-        } else {
-          currentSegmentValue = currentSegmentValue * 10 + parsedValue
-          currentSegmentDigits += 1
-        }
-      }
-      j += 1
-    }
-    if (!isValidDigits(i, currentSegmentDigits)) {
-      return None
-    }
-    if (i < 2 && j < bytes.length) {
-      // For the `yyyy` and `yyyy-[m]m` formats, entire input must be consumed.
-      return None
-    }
-    segments(i) = currentSegmentValue
-    try {
-      val localDate = LocalDate.of(sign * segments(0), segments(1), segments(2))
-      Some(localDateToDays(localDate))
-    } catch {
-      case NonFatal(_) => None
-    }
-  }
-
-  def stringToDateAnsi(
-      s: UTF8String,
-      context: SQLQueryContext = null): Int = {
-    stringToDate(s).getOrElse {
-      throw QueryExecutionErrors.invalidInputInCastToDatetimeError(
-        s, StringType, DateType, context)
-    }
-  }
-
-  // Gets the local date-time parts (year, month, day and time) of the instant expressed as the
-  // number of microseconds since the epoch at the given time zone ID.
-  private def getLocalDateTime(micros: Long, zoneId: ZoneId): LocalDateTime = {
-    microsToInstant(micros).atZone(zoneId).toLocalDateTime
-  }
-
   /**
    * Returns the hour value of a given timestamp value. The timestamp is expressed in microseconds.
    */
@@ -1036,17 +471,6 @@ object DateTimeUtils {
     }
   }
 
-  /**
-   * Converts the timestamp `micros` from one timezone to another.
-   *
-   * Time-zone rules, such as daylight savings, mean that not every local date-time
-   * is valid for the `toZone` time zone, thus the local date-time may be adjusted.
-   */
-  def convertTz(micros: Long, fromZone: ZoneId, toZone: ZoneId): Long = {
-    val rebasedDateTime = getLocalDateTime(micros, toZone).atZone(fromZone)
-    instantToMicros(rebasedDateTime.toInstant)
-  }
-
   /**
    * Converts a timestamp without time zone from a source to target time zone.
    *
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtilsImpl.scala
similarity index 51%
rename from sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala
rename to sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtilsImpl.scala
index 59e35c9c9ba04..fb480830d48cc 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/ArrowErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/UDTUtilsImpl.scala
@@ -14,26 +14,13 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql.errors
+package org.apache.spark.sql.catalyst.util
 
-import org.apache.arrow.vector.types.pojo.ArrowType
+import org.apache.spark.sql.catalyst.CatalystTypeConverters
+import org.apache.spark.sql.types.UserDefinedType
 
-import org.apache.spark.SparkUnsupportedOperationException
-
-trait ArrowErrors {
-
-  def unsupportedArrowTypeError(typeName: ArrowType): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "UNSUPPORTED_ARROWTYPE",
-      messageParameters = Map("typeName" -> typeName.toString))
-  }
-
-  def duplicatedFieldNameInArrowStructError(
-      fieldNames: Seq[String]): SparkUnsupportedOperationException = {
-    new SparkUnsupportedOperationException(
-      errorClass = "DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT",
-      messageParameters = Map("fieldNames" -> fieldNames.mkString("[", ", ", "]")))
+private[sql] class UDTUtilsImpl extends UDTUtils {
+  override def toRow(value: Any, udt: UserDefinedType[Any]): Any = {
+    CatalystTypeConverters.convertToScala(udt.serialize(value), udt.sqlType)
   }
 }
-
-object ArrowErrors extends ArrowErrors
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 5b1eaa20d229e..c7245eb0a6d60 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -20,8 +20,7 @@ package org.apache.spark.sql.errors
 import java.io.{FileNotFoundException, IOException}
 import java.lang.reflect.InvocationTargetException
 import java.net.{URISyntaxException, URL}
-import java.time.{DateTimeException, LocalDate}
-import java.time.temporal.ChronoField
+import java.time.DateTimeException
 import java.util.concurrent.TimeoutException
 
 import com.fasterxml.jackson.core.{JsonParser, JsonToken}
@@ -60,7 +59,7 @@ import org.apache.spark.util.{CircularBuffer, Utils}
  * This does not include exceptions thrown during the eager execution of commands, which are
  * grouped into [[QueryCompilationErrors]].
  */
-private[sql] object QueryExecutionErrors extends QueryErrorsBase {
+private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionErrors {
 
   def cannotEvaluateExpressionError(expression: Expression): Throwable = {
     SparkException.internalError(s"Cannot evaluate expression: $expression")
@@ -117,22 +116,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       summary = getSummary(context))
   }
 
-  def invalidInputInCastToDatetimeError(
-      value: Any,
-      from: DataType,
-      to: DataType,
-      context: SQLQueryContext): Throwable = {
-    new SparkDateTimeException(
-      errorClass = "CAST_INVALID_INPUT",
-      messageParameters = Map(
-        "expression" -> toSQLValue(value, from),
-        "sourceType" -> toSQLType(from),
-        "targetType" -> toSQLType(to),
-        "ansiConfig" -> toSQLConf(SQLConf.ANSI_ENABLED.key)),
-      context = getQueryContext(context),
-      summary = getSummary(context))
-  }
-
   def invalidInputSyntaxForBooleanError(
       s: UTF8String,
       context: SQLQueryContext): SparkRuntimeException = {
@@ -632,23 +615,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       summary = "")
   }
 
-  def arithmeticOverflowError(
-      message: String,
-      hint: String = "",
-      context: SQLQueryContext = null): ArithmeticException = {
-    val alternative = if (hint.nonEmpty) {
-      s" Use '$hint' to tolerate overflow and return NULL instead."
-    } else ""
-    new SparkArithmeticException(
-      errorClass = "ARITHMETIC_OVERFLOW",
-      messageParameters = Map(
-        "message" -> message,
-        "alternative" -> alternative,
-        "config" -> toSQLConf(SQLConf.ANSI_ENABLED.key)),
-      context = getQueryContext(context),
-      summary = getSummary(context))
-  }
-
   def unaryMinusCauseOverflowError(originValue: Int): SparkArithmeticException = {
     new SparkArithmeticException(
       errorClass = "_LEGACY_ERROR_TEMP_2043",
@@ -1316,52 +1282,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
       messageParameters = Map.empty)
   }
 
-  def fieldDiffersFromDerivedLocalDateError(
-      field: ChronoField,
-      actual: Int,
-      expected: Int,
-      candidate: LocalDate): SparkDateTimeException = {
-    new SparkDateTimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2129",
-      messageParameters = Map(
-        "field" -> field.toString(),
-        "actual" -> actual.toString(),
-        "expected" -> expected.toString(),
-        "candidate" -> candidate.toString()),
-      context = Array.empty,
-      summary = "")
-  }
-
-  def failToParseDateTimeInNewParserError(s: String, e: Throwable): Throwable = {
-    new SparkUpgradeException(
-      errorClass = "INCONSISTENT_BEHAVIOR_CROSS_VERSION.PARSE_DATETIME_BY_NEW_PARSER",
-      messageParameters = Map(
-        "datetime" -> toSQLValue(s, StringType),
-        "config" -> toSQLConf(SQLConf.LEGACY_TIME_PARSER_POLICY.key)),
-      e)
-  }
-
-  def failToRecognizePatternAfterUpgradeError(
-      pattern: String, e: Throwable, docroot: String): Throwable = {
-    new SparkUpgradeException(
-      errorClass = "INCONSISTENT_BEHAVIOR_CROSS_VERSION.DATETIME_PATTERN_RECOGNITION",
-      messageParameters = Map(
-        "pattern" -> toSQLValue(pattern, StringType),
-        "config" -> toSQLConf(SQLConf.LEGACY_TIME_PARSER_POLICY.key),
-        "docroot" -> docroot),
-      e)
-  }
-
-  def failToRecognizePatternError(
-      pattern: String, e: Throwable, docroot: String): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2130",
-      messageParameters = Map(
-        "pattern" -> toSQLValue(pattern, StringType),
-        "docroot" -> docroot),
-      cause = e)
-  }
-
   def registeringStreamingQueryListenerError(e: Exception): Throwable = {
     new SparkException(
       errorClass = "_LEGACY_ERROR_TEMP_2131",
@@ -1401,16 +1321,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
         "dataType" -> dataType.toString()))
   }
 
-  def cannotParseStringAsDataTypeError(pattern: String, value: String, dataType: DataType)
-  : SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2134",
-      messageParameters = Map(
-        "value" -> toSQLValue(value, StringType),
-        "pattern" -> toSQLValue(pattern, StringType),
-        "dataType" -> dataType.toString()))
-  }
-
   def emptyJsonFieldValueError(dataType: DataType): SparkRuntimeException = {
     new SparkRuntimeException(
       errorClass = "EMPTY_JSON_FIELD_VALUE",
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
index 534cd8f9ab0d2..0dc8f75705a2b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowWriter.scala
@@ -24,7 +24,7 @@ import org.apache.arrow.vector.complex._
 
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.SpecializedGetters
-import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.ArrowUtils
 
@@ -83,7 +83,7 @@ object ArrowWriter {
       case (_: YearMonthIntervalType, vector: IntervalYearVector) => new IntervalYearWriter(vector)
       case (_: DayTimeIntervalType, vector: DurationVector) => new DurationWriter(vector)
       case (dt, _) =>
-        throw DataTypeErrors.unsupportedDataTypeError(dt)
+        throw ExecutionErrors.unsupportedDataTypeError(dt)
     }
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 7fd960de37f2e..e74c3ada491a1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -36,7 +36,6 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.internal.config._
 import org.apache.spark.internal.config.{IGNORE_MISSING_FILES => SPARK_IGNORE_MISSING_FILES}
 import org.apache.spark.network.util.ByteUnit
-import org.apache.spark.sql.SqlApiConf
 import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.analysis.{HintErrorLogger, Resolver}
 import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
@@ -3162,7 +3161,7 @@ object SQLConf {
       .checkValues(StoreAssignmentPolicy.values.map(_.toString))
       .createWithDefault(StoreAssignmentPolicy.ANSI.toString)
 
-  val ANSI_ENABLED = buildConf("spark.sql.ansi.enabled")
+  val ANSI_ENABLED = buildConf(SqlApiConf.ANSI_ENABLED_KEY)
     .doc("When true, Spark SQL uses an ANSI compliant dialect instead of being Hive compliant. " +
       "For example, Spark will throw an exception at runtime instead of returning null results " +
       "when the inputs to a SQL operator/function are invalid." +
@@ -3749,10 +3748,6 @@ object SQLConf {
     .booleanConf
     .createWithDefault(false)
 
-  object LegacyBehaviorPolicy extends Enumeration {
-    val EXCEPTION, LEGACY, CORRECTED = Value
-  }
-
   val LEGACY_CTE_PRECEDENCE_POLICY = buildConf("spark.sql.legacy.ctePrecedencePolicy")
     .internal()
     .doc("When LEGACY, outer CTE definitions takes precedence over inner definitions. If set to " +
@@ -3765,7 +3760,7 @@ object SQLConf {
     .checkValues(LegacyBehaviorPolicy.values.map(_.toString))
     .createWithDefault(LegacyBehaviorPolicy.EXCEPTION.toString)
 
-  val LEGACY_TIME_PARSER_POLICY = buildConf("spark.sql.legacy.timeParserPolicy")
+  val LEGACY_TIME_PARSER_POLICY = buildConf(SqlApiConf.LEGACY_TIME_PARSER_POLICY_KEY)
     .internal()
     .doc("When LEGACY, java.text.SimpleDateFormat is used for formatting and parsing " +
       "dates/timestamps in a locale-sensitive manner, which is the approach before Spark 3.0. " +
@@ -4735,7 +4730,7 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
   def legacyMsSqlServerNumericMappingEnabled: Boolean =
     getConf(LEGACY_MSSQLSERVER_NUMERIC_MAPPING_ENABLED)
 
-  def legacyTimeParserPolicy: LegacyBehaviorPolicy.Value = {
+  override def legacyTimeParserPolicy: LegacyBehaviorPolicy.Value = {
     LegacyBehaviorPolicy.withName(getConf(SQLConf.LEGACY_TIME_PARSER_POLICY))
   }
 
@@ -4875,7 +4870,7 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
 
   def crossJoinEnabled: Boolean = getConf(SQLConf.CROSS_JOINS_ENABLED)
 
-  def sessionLocalTimeZone: String = getConf(SQLConf.SESSION_LOCAL_TIMEZONE)
+  override def sessionLocalTimeZone: String = getConf(SQLConf.SESSION_LOCAL_TIMEZONE)
 
   def jsonGeneratorIgnoreNullFields: Boolean = getConf(SQLConf.JSON_GENERATOR_IGNORE_NULL_FIELDS)
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/util/ToJsonUtil.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/util/ToJsonUtil.scala
deleted file mode 100644
index cebd0bacc7495..0000000000000
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/util/ToJsonUtil.scala
+++ /dev/null
@@ -1,129 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.util
-
-import java.sql.{Date, Timestamp}
-import java.time.{Instant, LocalDate}
-import java.util.Base64
-
-import scala.collection.mutable
-
-import org.json4s._
-import org.json4s.JsonAST.JValue
-import org.json4s.jackson.JsonMethods.{compact, pretty, render}
-
-import org.apache.spark.sql.Row
-import org.apache.spark.sql.catalyst.CatalystTypeConverters
-import org.apache.spark.sql.catalyst.util.{DateFormatter, DateTimeUtils, TimestampFormatter}
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.types.CalendarInterval
-
-
-object ToJsonUtil {
-  /**
-   * The compact JSON representation of this row.
-   * @since 3.5
-   */
-  @deprecated
-  def json(row: Row): String = compact(jsonValue(row))
-
-  /**
-   * The pretty (i.e. indented) JSON representation of this row.
-   * @since 3.5
-   */
-  @deprecated
-  def prettyJson(row: Row): String = pretty(render(jsonValue(row)))
-
-  /**
-   * JSON representation of the row.
-   *
-   * Note that this only supports the data types that are also supported by
-   * [[org.apache.spark.sql.catalyst.encoders.RowEncoder]].
-   *
-   * @return the JSON representation of the row.
-   */
-  private[sql] def jsonValue(row: Row): JValue = {
-    require(row.schema != null, "JSON serialization requires a non-null schema.")
-
-    lazy val zoneId = DateTimeUtils.getZoneId(SQLConf.get.sessionLocalTimeZone)
-    lazy val dateFormatter = DateFormatter()
-    lazy val timestampFormatter = TimestampFormatter(zoneId)
-
-    // Convert an iterator of values to a json array
-    def iteratorToJsonArray(iterator: Iterator[_], elementType: DataType): JArray = {
-      JArray(iterator.map(toJson(_, elementType)).toList)
-    }
-
-    // Convert a value to json.
-    def toJson(value: Any, dataType: DataType): JValue = (value, dataType) match {
-      case (null, _) => JNull
-      case (b: Boolean, _) => JBool(b)
-      case (b: Byte, _) => JLong(b)
-      case (s: Short, _) => JLong(s)
-      case (i: Int, _) => JLong(i)
-      case (l: Long, _) => JLong(l)
-      case (f: Float, _) => JDouble(f)
-      case (d: Double, _) => JDouble(d)
-      case (d: BigDecimal, _) => JDecimal(d)
-      case (d: java.math.BigDecimal, _) => JDecimal(d)
-      case (d: Decimal, _) => JDecimal(d.toBigDecimal)
-      case (s: String, _) => JString(s)
-      case (b: Array[Byte], BinaryType) =>
-        JString(Base64.getEncoder.encodeToString(b))
-      case (d: LocalDate, _) => JString(dateFormatter.format(d))
-      case (d: Date, _) => JString(dateFormatter.format(d))
-      case (i: Instant, _) => JString(timestampFormatter.format(i))
-      case (t: Timestamp, _) => JString(timestampFormatter.format(t))
-      case (i: CalendarInterval, _) => JString(i.toString)
-      case (a: Array[_], ArrayType(elementType, _)) =>
-        iteratorToJsonArray(a.iterator, elementType)
-      case (a: mutable.ArraySeq[_], ArrayType(elementType, _)) =>
-        iteratorToJsonArray(a.iterator, elementType)
-      case (s: Seq[_], ArrayType(elementType, _)) =>
-        iteratorToJsonArray(s.iterator, elementType)
-      case (m: Map[String @unchecked, _], MapType(StringType, valueType, _)) =>
-        new JObject(m.toList.sortBy(_._1).map {
-          case (k, v) => k -> toJson(v, valueType)
-        })
-      case (m: Map[_, _], MapType(keyType, valueType, _)) =>
-        new JArray(m.iterator.map {
-          case (k, v) =>
-            new JObject("key" -> toJson(k, keyType) :: "value" -> toJson(v, valueType) :: Nil)
-        }.toList)
-      case (r: Row, _) => jsonValue(r)
-      case (v: Any, udt: UserDefinedType[Any @unchecked]) =>
-        val dataType = udt.sqlType
-        toJson(CatalystTypeConverters.convertToScala(udt.serialize(v), dataType), dataType)
-      case _ =>
-        throw new IllegalArgumentException(s"Failed to convert value $value " +
-          s"(class of ${value.getClass}}) with the type of $dataType to JSON.")
-    }
-
-    // Convert the row fields to json
-    var n = 0
-    val elements = new mutable.ListBuffer[JField]
-    val len = row.length
-    while (n < len) {
-      val field = row.schema(n)
-      elements += (field.name -> toJson(row.apply(n), field.dataType))
-      n += 1
-    }
-    new JObject(elements.toList)
-  }
-}
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/RowJsonSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/RowJsonSuite.scala
index 916edd9f2edbb..1962fca66c059 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/RowJsonSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/RowJsonSuite.scala
@@ -25,7 +25,6 @@ import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.catalyst.encoders.{ExamplePoint, ExamplePointUDT}
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.types._
-import org.apache.spark.sql.util.ToJsonUtil
 
 /**
  * Test suite for [[Row]] JSON serialization.
@@ -38,7 +37,7 @@ class RowJsonSuite extends SparkFunSuite {
   private def testJson(name: String, value: Any, dt: DataType, expected: JValue): Unit = {
     test(name) {
       val row = new GenericRowWithSchema(Array(value), new StructType().add("a", dt))
-      assert(ToJsonUtil.jsonValue(row) === JObject("a" -> expected))
+      assert(row.jsonValue === JObject("a" -> expected))
     }
   }
 
@@ -123,7 +122,7 @@ class RowJsonSuite extends SparkFunSuite {
 
   test("no schema") {
     val e = intercept[IllegalArgumentException] {
-      ToJsonUtil.jsonValue(Row("a"))
+      Row("a").jsonValue
     }
     assert(e.getMessage.contains("requires a non-null schema"))
   }
@@ -133,7 +132,7 @@ class RowJsonSuite extends SparkFunSuite {
       val row = new GenericRowWithSchema(
         Array((1, 2)),
         new StructType().add("a", ObjectType(classOf[(Int, Int)])))
-      ToJsonUtil.jsonValue(row)
+      row.jsonValue
     }
     assert(e.getMessage.contains("Failed to convert value"))
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala
index ce0dd767c64bc..ec40989e6b78e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala
@@ -28,7 +28,6 @@ import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{GenericRow, GenericRowWithSchema}
 import org.apache.spark.sql.types._
-import org.apache.spark.sql.util.ToJsonUtil
 
 class RowTest extends AnyFunSpec with Matchers {
 
@@ -102,7 +101,7 @@ class RowTest extends AnyFunSpec with Matchers {
       val values = ArraySeq("1", "2", "3")
       val row = new GenericRowWithSchema(Array(values), schema)
       val expectedList = JArray(JString("1") :: JString("2") :: JString("3") :: Nil)
-      ToJsonUtil.jsonValue(row) shouldBe new JObject(("list", expectedList) :: Nil)
+      row.jsonValue shouldBe new JObject(("list", expectedList) :: Nil)
     }
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateFormatterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateFormatterSuite.scala
index 4b7032854342c..20b1ade81f59b 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateFormatterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateFormatterSuite.scala
@@ -22,8 +22,7 @@ import java.time.{DateTimeException, LocalDate}
 import org.apache.spark.SparkUpgradeException
 import org.apache.spark.sql.catalyst.util.DateTimeTestUtils._
 import org.apache.spark.sql.catalyst.util.DateTimeUtils._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 
 class DateFormatterSuite extends DatetimeFormatterSuite {
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
index e050a6d178916..eb173bc7f8c87 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
@@ -24,8 +24,7 @@ import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.apache.spark.SparkUpgradeException
 import org.apache.spark.sql.catalyst.util.DateTimeTestUtils._
 import org.apache.spark.sql.catalyst.util.DateTimeUtils._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.unsafe.types.UTF8String
 
 class TimestampFormatterSuite extends DatetimeFormatterSuite {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
index fc879f7e98f15..3fec13a7f9ba9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
@@ -25,7 +25,7 @@ import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.plans.physical.Partitioning
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.errors.DataTypeErrors
+import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.execution.command.DataWritingCommandExec
 import org.apache.spark.sql.execution.datasources.V1WriteCommand
 import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
@@ -273,7 +273,7 @@ private object RowToColumnConverter {
       case dt: DecimalType => new DecimalConverter(dt)
       case mt: MapType => MapConverter(getConverterForType(mt.keyType, nullable = false),
         getConverterForType(mt.valueType, mt.valueContainsNull))
-      case unknown => throw DataTypeErrors.unsupportedDataTypeError(unknown)
+      case unknown => throw ExecutionErrors.unsupportedDataTypeError(unknown)
     }
 
     if (nullable) {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceUtils.scala
index cedca06207420..a72e4c339af8c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceUtils.scala
@@ -33,8 +33,7 @@ import org.apache.spark.sql.catalyst.util.RebaseDateTime
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.execution.datasources.parquet.ParquetOptions
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.sources.BaseRelation
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
index 6994e1ba39d9e..5899b6621ad8e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
@@ -38,7 +38,7 @@ import org.apache.parquet.schema.Type.Repetition
 
 import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, DateTimeUtils, IntervalUtils}
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.{rebaseGregorianToJulianDays, rebaseGregorianToJulianMicros, RebaseSpec}
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
 import org.apache.spark.sql.sources
 import org.apache.spark.unsafe.types.UTF8String
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetReadSupport.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetReadSupport.scala
index 6e29afce491aa..025ee3dd034ae 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetReadSupport.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetReadSupport.scala
@@ -35,8 +35,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 
 /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala
index a6d13d072f488..8a6221c4b8753 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala
@@ -42,8 +42,8 @@ import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
 import org.apache.spark.sql.connector.expressions.aggregate.{Aggregation, Count, CountStar, Max, Min}
 import org.apache.spark.sql.execution.datasources.{AggregatePushDownUtils, OutputWriter, OutputWriterFactory}
 import org.apache.spark.sql.execution.datasources.v2.V2ColumnUtils
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.{LegacyBehaviorPolicy, PARQUET_AGGREGATE_PUSHDOWN_ENABLED}
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.SQLConf.PARQUET_AGGREGATE_PUSHDOWN_ENABLED
 import org.apache.spark.sql.types.{ArrayType, AtomicType, DataType, MapType, StructField, StructType, UserDefinedType}
 
 object ParquetUtils extends Logging {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala
index 9f3ee0af4e51b..e546816dd1db4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala
@@ -36,8 +36,7 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.SpecializedGetters
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.execution.datasources.DataSourceUtils
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 
 /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala
index 0d63d295ccd4b..7987372abdec1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala
@@ -26,7 +26,7 @@ import org.apache.spark.sql.connector.read.SupportsPushDownAggregates
 import org.apache.spark.sql.execution.datasources.{AggregatePushDownUtils, PartitioningAwareFileIndex}
 import org.apache.spark.sql.execution.datasources.parquet.{ParquetFilters, SparkToParquetSchemaConverter}
 import org.apache.spark.sql.execution.datasources.v2.FileScanBuilder
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
 import org.apache.spark.sql.sources.Filter
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/progress.scala b/sql/core/src/main/scala/org/apache/spark/sql/streaming/progress.scala
index 5cce52b9c0f60..b392769975600 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/streaming/progress.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/streaming/progress.scala
@@ -37,7 +37,6 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.streaming.SafeJsonSerializer.{safeDoubleToJValue, safeMapToJValue}
 import org.apache.spark.sql.streaming.SinkProgress.DEFAULT_NUM_OUTPUT_ROWS
-import org.apache.spark.sql.util.ToJsonUtil
 
 /**
  * Information about updates made to stateful operators in a [[StreamingQuery]] during a trigger.
@@ -174,7 +173,7 @@ class StreamingQueryProgress private[spark](
     ("stateOperators" -> JArray(stateOperators.map(_.jsonValue).toList)) ~
     ("sources" -> JArray(sources.map(_.jsonValue).toList)) ~
     ("sink" -> sink.jsonValue) ~
-    ("observedMetrics" -> safeMapToJValue[Row](observedMetrics, row => ToJsonUtil.jsonValue(row)))
+    ("observedMetrics" -> safeMapToJValue[Row](observedMetrics, row => row.jsonValue))
   }
 }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
index df82e3c268f44..e70d04b7b5a6f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
@@ -42,8 +42,8 @@ import org.apache.spark.sql.execution.datasources.parquet.ParquetTest
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
 import org.apache.spark.sql.execution.streaming.FileSystemBasedCheckpointFileManager
 import org.apache.spark.sql.functions.{lit, lower, struct, sum, udf}
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy.EXCEPTION
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy.EXCEPTION
 import org.apache.spark.sql.jdbc.{JdbcDialect, JdbcDialects}
 import org.apache.spark.sql.streaming.StreamingQueryException
 import org.apache.spark.sql.test.SharedSparkSession
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/DateTimeRebaseBenchmark.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/DateTimeRebaseBenchmark.scala
index e7f1f15ae32b4..800c22a78d086 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/DateTimeRebaseBenchmark.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/DateTimeRebaseBenchmark.scala
@@ -24,8 +24,8 @@ import org.apache.spark.benchmark.Benchmark
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.SECONDS_PER_DAY
 import org.apache.spark.sql.catalyst.util.DateTimeTestUtils.{withDefaultTimeZone, LA}
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.{LegacyBehaviorPolicy, ParquetOutputTimestampType}
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType
 
 object DateTime extends Enumeration {
   type DateTime = Value
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index ceb79eaa8666b..3bd45ca0dcdb3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -41,8 +41,7 @@ import org.apache.spark.sql.{AnalysisException, Column, DataFrame, Encoders, Que
 import org.apache.spark.sql.catalyst.csv.CSVOptions
 import org.apache.spark.sql.catalyst.util.{DateTimeTestUtils, DateTimeUtils}
 import org.apache.spark.sql.execution.datasources.CommonFileDataSourceSuite
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
index 9adcb43c8389e..269a3efb7360c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
@@ -48,9 +48,8 @@ import org.apache.spark.sql.execution.datasources.{DataSourceStrategy, HadoopFsR
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
 import org.apache.spark.sql.execution.datasources.v2.parquet.ParquetScan
 import org.apache.spark.sql.functions._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy.{CORRECTED, LEGACY}
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy.{CORRECTED, LEGACY}
 import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType.{INT96, TIMESTAMP_MICROS, TIMESTAMP_MILLIS}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
index 240bb4e6dcb44..4f90641134547 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
@@ -23,9 +23,9 @@ import java.sql.{Date, Timestamp}
 import org.apache.spark.{SPARK_VERSION_SHORT, SparkConf, SparkException, SparkUpgradeException}
 import org.apache.spark.sql.{QueryTest, Row, SPARK_LEGACY_DATETIME_METADATA_KEY, SPARK_LEGACY_INT96_METADATA_KEY, SPARK_TIMEZONE_METADATA_KEY}
 import org.apache.spark.sql.catalyst.util.DateTimeTestUtils
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.{LegacyBehaviorPolicy, ParquetOutputTimestampType}
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy.{CORRECTED, EXCEPTION, LEGACY}
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy.{CORRECTED, EXCEPTION, LEGACY}
+import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType
 import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType.{INT96, TIMESTAMP_MICROS, TIMESTAMP_MILLIS}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.tags.SlowSQLTest
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala b/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
index c6e5585f61916..b4140f17775f6 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
@@ -30,8 +30,8 @@ import org.apache.spark.sql.connector.catalog.CatalogManager.SESSION_CATALOG_NAM
 import org.apache.spark.sql.execution.DataSourceScanExec
 import org.apache.spark.sql.execution.datasources._
 import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy._
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
 import org.apache.spark.sql.test.SQLTestUtils
 import org.apache.spark.sql.types._
 

From 6879519cafa913f61a5f6029125e41cf79e80168 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Fri, 28 Jul 2023 19:14:56 +0800
Subject: [PATCH 088/986] [SPARK-37377][SQL][FOLLOWUP] Fix the partitioned join
 of one side test case not match

### What changes were proposed in this pull request?
The partitioned join of one side test case not match with description.
Current, always two side reports partitioning not one.

### Why are the changes needed?
Fix test case

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
add new test.

Closes #42144 from Hisoka-X/SPARK-37377_one_side_test_case.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 20bb6c0c5a84345bb09ac3cab6267a5747b6be05)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/connector/KeyGroupedPartitioningSuite.scala      | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 8be3c6d9e136b..880c30ba9f98d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -313,9 +313,8 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
 
   test("partitioned join: only one side reports partitioning") {
     val customers_partitions = Array(bucket(4, "customer_id"))
-    val orders_partitions = Array(bucket(2, "customer_id"))
 
-    testWithCustomersAndOrders(customers_partitions, orders_partitions, 2)
+    testWithCustomersAndOrders(customers_partitions, Array.empty, 2)
   }
 
   private val items: String = "items"

From d0fa5a75d17335e60aefbb554adb9b3fce1f97ff Mon Sep 17 00:00:00 2001
From: Guilhem Vuillier <101632595+guilhem-depop@users.noreply.github.com>
Date: Fri, 28 Jul 2023 17:29:47 -0500
Subject: [PATCH 089/986] [SPARK-44585][MLLIB] Fix warning condition in MLLib
 RankingMetrics ndcgAk

### What changes were proposed in this pull request?

This PR fixes the condition to raise the following warning in MLLib's RankingMetrics ndcgAk function: "# of ground truth set and # of relevance value set should be equal, check input data"

The logic for raising warnings is faulty at the moment: it raises a warning if the `rel` input is empty and `lab.size` and `rel.size` are not equal.

The logic should be to raise a warning if `rel` input is **not empty** and `lab.size` and `rel.size` are not equal.

This warning was added in the following PR: https://github.com/apache/spark/pull/36843

### Why are the changes needed?

With the current logic, RankingMetrics will:
- raise incorrect warning when a user is using it in the "binary" mode (i.e. no relevance values in the input)
- not raise warning (that could be necessary) when the user is using it in the "non-binary" model (i.e. with relevance values in the input)

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
No change made to the test suite for RankingMetrics: https://github.com/uchiiii/spark/blob/a172172329cc78b50f716924f2a344517deb71fc/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala

Closes #42207 from guilhem-depop/patch-1.

Authored-by: Guilhem Vuillier <101632595+guilhem-depop@users.noreply.github.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 72af2c0fbc6673a5e49f1fd6693fe2c90141a84f)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 .../org/apache/spark/mllib/evaluation/RankingMetrics.scala   | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
index 37e57736574eb..a3316d8a8fa41 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
@@ -140,6 +140,9 @@ class RankingMetrics[T: ClassTag] @Since("1.2.0") (predictionAndLabels: RDD[_ <:
    * and the NDCG is obtained by dividing the DCG value on the ground truth set. In the current
    * implementation, the relevance value is binary if the relevance value is empty.
 
+   * If the relevance value is not empty but its size doesn't match the ground truth set size,
+   * a log warning is generated.
+   *
    * If a query has an empty ground truth set, zero will be used as ndcg together with
    * a log warning.
    *
@@ -157,7 +160,7 @@ class RankingMetrics[T: ClassTag] @Since("1.2.0") (predictionAndLabels: RDD[_ <:
       val useBinary = rel.isEmpty
       val labSet = lab.toSet
       val relMap = Utils.toMap(lab, rel)
-      if (useBinary && lab.size != rel.size) {
+      if (!useBinary && lab.size != rel.size) {
         logWarning(
           "# of ground truth set and # of relevance value set should be equal, " +
             "check input data")

From 5412fb0590e55d635e9e31887ec5c72d10011899 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Fri, 28 Jul 2023 21:30:51 -0400
Subject: [PATCH 090/986] [SPARK-41400][CONNECT] Remove Connect Client Catalyst
 Dependency

### What changes were proposed in this pull request?
This PR decouples the Spark Connect Scala Client from Catalyst, it now used SQL API module instead.

There were quite a few changes we still needed to make:
- For testing we needed a bunch of utilities. I have moved these to common-utils.
- I have moved bits and pieces of IntervalUtils to SparkIntervalUtils.
- A lot of small fixes.

### Why are the changes needed?
This reduces the client's dependency tree from ~300 MB of deps to ~30MB. This makes it easier to use the client when you are developing connect applications. On top of this the reduced dependency graph also means folks will be less affected by the clients' classpath.

### Does this PR introduce _any_ user-facing change?
Yes. It changes the classpath exposed by the Spark Connect Scala Client.

### How was this patch tested?
Existing tests.

Closes #42184 from hvanhovell/SPARK-41400-v1.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 85a4d1e56e80d85dad9b8945c67287927eb379f6)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 common/network-common/pom.xml                 |   3 +-
 .../spark/network/sasl/SparkSaslSuite.java    |   5 +-
 .../apache/spark/network/util/ByteUnit.java   |   0
 .../apache/spark/network/util/JavaUtils.java  |  66 ++--
 .../apache/spark/util/SparkErrorUtils.scala   |  53 +++-
 .../apache/spark/util/SparkFileUtils.scala    |  80 ++++-
 .../apache/spark/util/SparkSerDeUtils.scala   |   9 +-
 connector/connect/client/jvm/pom.xml          |  14 +-
 .../org/apache/spark/sql/SparkSession.scala   |   6 +-
 .../client/arrow/ArrowDeserializer.scala      |   6 +-
 .../client/arrow/ArrowSerializer.scala        |  19 +-
 .../client/arrow/ArrowVectorReader.scala      |  15 +-
 .../apache/spark/sql/protobuf/functions.scala |  15 +-
 .../apache/spark/sql/ClientE2ETestSuite.scala |   7 +-
 .../spark/sql/DataFrameNaFunctionSuite.scala  |   6 +-
 .../spark/sql/PlanGenerationTestSuite.scala   |   6 +-
 .../org/apache/spark/sql/SQLHelper.scala      |  11 +-
 .../spark/sql/SQLImplicitsTestSuite.scala     |  31 +-
 .../spark/sql/SparkSessionE2ESuite.scala      |  16 +-
 .../sql/UserDefinedFunctionE2ETestSuite.scala |  15 +-
 .../spark/sql/UserDefinedFunctionSuite.scala  |   4 +-
 .../sql/connect/client/ClassFinderSuite.scala |   6 +-
 .../client/arrow/ArrowEncoderSuite.scala      |   6 +-
 .../client/util/IntegrationTestUtils.scala    |  11 +-
 .../sql/connect/client/util/QueryTest.scala   |   4 +-
 .../sql/streaming/StreamingQuerySuite.scala   |   6 +-
 connector/connect/common/pom.xml              |   8 +-
 .../common/LiteralValueProtoConverter.scala   |  14 +-
 .../scala/org/apache/spark/util/Utils.scala   | 132 +-------
 .../plans/logical/LogicalGroupState.scala     |  20 ++
 .../catalyst/util/SparkIntervalUtils.scala    | 287 +++++++++++++++++-
 .../spark/sql/catalyst/util/StringUtils.scala |  20 ++
 .../spark/sql/errors/CompilationErrors.scala  |  54 ++++
 .../spark/sql/internal/SqlApiConf.scala       |   3 +
 .../apache/spark/sql/types/UpCastRule.scala   |  86 ++++++
 .../catalyst/analysis/AnsiTypeCoercion.scala  |   2 +-
 .../sql/catalyst/analysis/TypeCoercion.scala  |  12 +-
 .../spark/sql/catalyst/expressions/Cast.scala |  47 +--
 .../catalyst/expressions/ToStringBase.scala   |   6 +-
 .../sql/catalyst/plans/logical/object.scala   |   3 -
 .../sql/catalyst/util/IntervalUtils.scala     | 260 ----------------
 .../spark/sql/catalyst/util/package.scala     |  21 +-
 .../sql/errors/QueryCompilationErrors.scala   |  33 +-
 .../apache/spark/sql/internal/SQLConf.scala   |   6 +-
 .../catalyst/expressions/CastSuiteBase.scala  |   2 +-
 45 files changed, 768 insertions(+), 668 deletions(-)
 rename common/{network-common => utils}/src/main/java/org/apache/spark/network/util/ByteUnit.java (100%)
 rename common/{network-common => utils}/src/main/java/org/apache/spark/network/util/JavaUtils.java (89%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalGroupState.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/types/UpCastRule.scala

diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8a63e999c53cd..2b43f9ce98a80 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -150,7 +150,8 @@
 
     <dependency>
       <groupId>org.apache.spark</groupId>
-      <artifactId>spark-tags_${scala.binary.version}</artifactId>
+      <artifactId>spark-common-utils_${scala.binary.version}</artifactId>
+      <version>${project.version}</version>
    </dependency>
 
     <!--
diff --git a/common/network-common/src/test/java/org/apache/spark/network/sasl/SparkSaslSuite.java b/common/network-common/src/test/java/org/apache/spark/network/sasl/SparkSaslSuite.java
index 6096cd32f3d01..3562e9f3025b0 100644
--- a/common/network-common/src/test/java/org/apache/spark/network/sasl/SparkSaslSuite.java
+++ b/common/network-common/src/test/java/org/apache/spark/network/sasl/SparkSaslSuite.java
@@ -58,10 +58,7 @@
 import org.apache.spark.network.server.StreamManager;
 import org.apache.spark.network.server.TransportServer;
 import org.apache.spark.network.server.TransportServerBootstrap;
-import org.apache.spark.network.util.ByteArrayWritableChannel;
-import org.apache.spark.network.util.JavaUtils;
-import org.apache.spark.network.util.MapConfigProvider;
-import org.apache.spark.network.util.TransportConf;
+import org.apache.spark.network.util.*;
 
 /**
  * Jointly tests SparkSaslClient and SparkSaslServer, as both are black boxes.
diff --git a/common/network-common/src/main/java/org/apache/spark/network/util/ByteUnit.java b/common/utils/src/main/java/org/apache/spark/network/util/ByteUnit.java
similarity index 100%
rename from common/network-common/src/main/java/org/apache/spark/network/util/ByteUnit.java
rename to common/utils/src/main/java/org/apache/spark/network/util/ByteUnit.java
diff --git a/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java b/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
similarity index 89%
rename from common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java
rename to common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
index 7e410e9eab223..bbe764b8366c8 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/util/JavaUtils.java
+++ b/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
@@ -23,15 +23,11 @@
 import java.nio.charset.StandardCharsets;
 import java.nio.file.Files;
 import java.nio.file.attribute.BasicFileAttributes;
-import java.util.Locale;
-import java.util.UUID;
+import java.util.*;
 import java.util.concurrent.TimeUnit;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 
-import com.google.common.base.Preconditions;
-import com.google.common.collect.ImmutableMap;
-import io.netty.buffer.Unpooled;
 import org.apache.commons.lang3.SystemUtils;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -72,7 +68,7 @@ public static int nonNegativeHash(Object obj) {
    * converted back to the same string through {@link #bytesToString(ByteBuffer)}.
    */
   public static ByteBuffer stringToBytes(String s) {
-    return Unpooled.wrappedBuffer(s.getBytes(StandardCharsets.UTF_8)).nioBuffer();
+    return ByteBuffer.wrap(s.getBytes(StandardCharsets.UTF_8));
   }
 
   /**
@@ -80,7 +76,7 @@ public static ByteBuffer stringToBytes(String s) {
    * converted back to the same byte buffer through {@link #stringToBytes(String)}.
    */
   public static String bytesToString(ByteBuffer b) {
-    return Unpooled.wrappedBuffer(b).toString(StandardCharsets.UTF_8);
+    return StandardCharsets.UTF_8.decode(b.slice()).toString();
   }
 
   /**
@@ -191,7 +187,7 @@ private static File[] listFilesSafely(File file, FilenameFilter filter) throws I
   }
 
   private static boolean isSymlink(File file) throws IOException {
-    Preconditions.checkNotNull(file);
+    Objects.requireNonNull(file);
     File fileInCanonicalDir = null;
     if (file.getParent() == null) {
       fileInCanonicalDir = file;
@@ -201,31 +197,35 @@ private static boolean isSymlink(File file) throws IOException {
     return !fileInCanonicalDir.getCanonicalFile().equals(fileInCanonicalDir.getAbsoluteFile());
   }
 
-  private static final ImmutableMap<String, TimeUnit> timeSuffixes =
-    ImmutableMap.<String, TimeUnit>builder()
-      .put("us", TimeUnit.MICROSECONDS)
-      .put("ms", TimeUnit.MILLISECONDS)
-      .put("s", TimeUnit.SECONDS)
-      .put("m", TimeUnit.MINUTES)
-      .put("min", TimeUnit.MINUTES)
-      .put("h", TimeUnit.HOURS)
-      .put("d", TimeUnit.DAYS)
-      .build();
-
-  private static final ImmutableMap<String, ByteUnit> byteSuffixes =
-    ImmutableMap.<String, ByteUnit>builder()
-      .put("b", ByteUnit.BYTE)
-      .put("k", ByteUnit.KiB)
-      .put("kb", ByteUnit.KiB)
-      .put("m", ByteUnit.MiB)
-      .put("mb", ByteUnit.MiB)
-      .put("g", ByteUnit.GiB)
-      .put("gb", ByteUnit.GiB)
-      .put("t", ByteUnit.TiB)
-      .put("tb", ByteUnit.TiB)
-      .put("p", ByteUnit.PiB)
-      .put("pb", ByteUnit.PiB)
-      .build();
+  private static final Map<String, TimeUnit> timeSuffixes;
+
+  private static final Map<String, ByteUnit> byteSuffixes;
+
+  static {
+    final Map<String, TimeUnit> timeSuffixesBuilder = new HashMap<>();
+    timeSuffixesBuilder.put("us", TimeUnit.MICROSECONDS);
+    timeSuffixesBuilder.put("ms", TimeUnit.MILLISECONDS);
+    timeSuffixesBuilder.put("s", TimeUnit.SECONDS);
+    timeSuffixesBuilder.put("m", TimeUnit.MINUTES);
+    timeSuffixesBuilder.put("min", TimeUnit.MINUTES);
+    timeSuffixesBuilder.put("h", TimeUnit.HOURS);
+    timeSuffixesBuilder.put("d", TimeUnit.DAYS);
+    timeSuffixes = Collections.unmodifiableMap(timeSuffixesBuilder);
+
+    final Map<String, ByteUnit> byteSuffixesBuilder = new HashMap<>();
+    byteSuffixesBuilder.put("b", ByteUnit.BYTE);
+    byteSuffixesBuilder.put("k", ByteUnit.KiB);
+    byteSuffixesBuilder.put("kb", ByteUnit.KiB);
+    byteSuffixesBuilder.put("m", ByteUnit.MiB);
+    byteSuffixesBuilder.put("mb", ByteUnit.MiB);
+    byteSuffixesBuilder.put("g", ByteUnit.GiB);
+    byteSuffixesBuilder.put("gb", ByteUnit.GiB);
+    byteSuffixesBuilder.put("t", ByteUnit.TiB);
+    byteSuffixesBuilder.put("tb", ByteUnit.TiB);
+    byteSuffixesBuilder.put("p", ByteUnit.PiB);
+    byteSuffixesBuilder.put("pb", ByteUnit.PiB);
+    byteSuffixes = Collections.unmodifiableMap(byteSuffixesBuilder);
+  }
 
   /**
    * Convert a passed time string (e.g. 50s, 100ms, or 250us) to a time count in the given unit.
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
index 8e4de01885e02..97a07984a228a 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
@@ -16,13 +16,14 @@
  */
 package org.apache.spark.util
 
-import java.io.IOException
+import java.io.{Closeable, IOException, PrintWriter}
+import java.nio.charset.StandardCharsets.UTF_8
 
 import scala.util.control.NonFatal
 
 import org.apache.spark.internal.Logging
 
-object SparkErrorUtils extends Logging {
+private[spark] trait SparkErrorUtils extends Logging {
   /**
    * Execute a block of code that returns a value, re-throwing any non-fatal uncaught
    * exceptions as IOException. This is used when implementing Externalizable and Serializable's
@@ -41,4 +42,52 @@ object SparkErrorUtils extends Logging {
         throw new IOException(e)
     }
   }
+
+  def tryWithResource[R <: Closeable, T](createResource: => R)(f: R => T): T = {
+    val resource = createResource
+    try f.apply(resource) finally resource.close()
+  }
+
+  /**
+   * Execute a block of code, then a finally block, but if exceptions happen in
+   * the finally block, do not suppress the original exception.
+   *
+   * This is primarily an issue with `finally { out.close() }` blocks, where
+   * close needs to be called to clean up `out`, but if an exception happened
+   * in `out.write`, it's likely `out` may be corrupted and `out.close` will
+   * fail as well. This would then suppress the original/likely more meaningful
+   * exception from the original `out.write` call.
+   */
+  def tryWithSafeFinally[T](block: => T)(finallyBlock: => Unit): T = {
+    var originalThrowable: Throwable = null
+    try {
+      block
+    } catch {
+      case t: Throwable =>
+        // Purposefully not using NonFatal, because even fatal exceptions
+        // we don't want to have our finallyBlock suppress
+        originalThrowable = t
+        throw originalThrowable
+    } finally {
+      try {
+        finallyBlock
+      } catch {
+        case t: Throwable if (originalThrowable != null && originalThrowable != t) =>
+          originalThrowable.addSuppressed(t)
+          logWarning(s"Suppressing exception in finally: ${t.getMessage}", t)
+          throw originalThrowable
+      }
+    }
+  }
+
+  def stackTraceToString(t: Throwable): String = {
+    val out = new java.io.ByteArrayOutputStream
+    SparkErrorUtils.tryWithResource(new PrintWriter(out)) { writer =>
+      t.printStackTrace(writer)
+      writer.flush()
+    }
+    new String(out.toByteArray, UTF_8)
+  }
 }
+
+object SparkErrorUtils extends SparkErrorUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkFileUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkFileUtils.scala
index 63d1ab4799ab2..e12f8acdadd3c 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkFileUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkFileUtils.scala
@@ -18,8 +18,12 @@ package org.apache.spark.util
 
 import java.io.File
 import java.net.{URI, URISyntaxException}
+import java.nio.file.Files
 
-private[spark] object SparkFileUtils {
+import org.apache.spark.internal.Logging
+import org.apache.spark.network.util.JavaUtils
+
+private[spark] trait SparkFileUtils extends Logging {
   /**
    * Return a well-formed URI for the file described by a user input string.
    *
@@ -44,4 +48,78 @@ private[spark] object SparkFileUtils {
     }
     new File(path).getCanonicalFile().toURI()
   }
+
+  /**
+   * Lists files recursively.
+   */
+  def recursiveList(f: File): Array[File] = {
+    require(f.isDirectory)
+    val result = f.listFiles.toBuffer
+    val dirList = result.filter(_.isDirectory)
+    while (dirList.nonEmpty) {
+      val curDir = dirList.remove(0)
+      val files = curDir.listFiles()
+      result ++= files
+      dirList ++= files.filter(_.isDirectory)
+    }
+    result.toArray
+  }
+
+  /**
+   * Create a directory given the abstract pathname
+   * @return true, if the directory is successfully created; otherwise, return false.
+   */
+  def createDirectory(dir: File): Boolean = {
+    try {
+      // SPARK-35907: The check was required by File.mkdirs() because it could sporadically
+      // fail silently. After switching to Files.createDirectories(), ideally, there should
+      // no longer be silent fails. But the check is kept for the safety concern. We can
+      // remove the check when we're sure that Files.createDirectories() would never fail silently.
+      Files.createDirectories(dir.toPath)
+      if ( !dir.exists() || !dir.isDirectory) {
+        logError(s"Failed to create directory " + dir)
+      }
+      dir.isDirectory
+    } catch {
+      case e: Exception =>
+        logError(s"Failed to create directory " + dir, e)
+        false
+    }
+  }
+
+  /**
+   * Create a directory inside the given parent directory. The directory is guaranteed to be
+   * newly created, and is not marked for automatic deletion.
+   */
+  def createDirectory(root: String, namePrefix: String = "spark"): File = {
+    JavaUtils.createDirectory(root, namePrefix)
+  }
+
+  /**
+   * Create a temporary directory inside the `java.io.tmpdir` prefixed with `spark`.
+   * The directory will be automatically deleted when the VM shuts down.
+   */
+  def createTempDir(): File =
+    createTempDir(System.getProperty("java.io.tmpdir"), "spark")
+
+  /**
+   * Create a temporary directory inside the given parent directory. The directory will be
+   * automatically deleted when the VM shuts down.
+   */
+  def createTempDir(
+      root: String = System.getProperty("java.io.tmpdir"),
+      namePrefix: String = "spark"): File = {
+    createDirectory(root, namePrefix)
+  }
+
+  /**
+   * Delete a file or directory and its contents recursively.
+   * Don't follow directories if they are symlinks.
+   * Throws an exception if deletion is unsuccessful.
+   */
+  def deleteRecursively(file: File): Unit = {
+    JavaUtils.deleteRecursively(file)
+  }
 }
+
+private[spark] object SparkFileUtils extends SparkFileUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
index 88d1d6bdba8dd..3069e4c36a749 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
@@ -16,7 +16,7 @@
  */
 package org.apache.spark.util
 
-import java.io.{ByteArrayOutputStream, ObjectOutputStream}
+import java.io.{ByteArrayInputStream, ByteArrayOutputStream, ObjectInputStream, ObjectOutputStream}
 
 object SparkSerDeUtils {
   /** Serialize an object using Java serialization */
@@ -27,4 +27,11 @@ object SparkSerDeUtils {
     oos.close()
     bos.toByteArray
   }
+
+  /** Deserialize an object using Java serialization */
+  def deserialize[T](bytes: Array[Byte]): T = {
+    val bis = new ByteArrayInputStream(bytes)
+    val ois = new ObjectInputStream(bis)
+    ois.readObject.asInstanceOf[T]
+  }
 }
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index f60e60890c058..503888ce09559 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -46,23 +46,11 @@
         </exclusion>
       </exclusions>
     </dependency>
-    <!--TODO: fix the dependency once the catalyst refactoring is done-->
     <dependency>
       <groupId>org.apache.spark</groupId>
-      <artifactId>spark-catalyst_${scala.binary.version}</artifactId>
+      <artifactId>spark-sql-api_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
       <scope>provided</scope>
-      <exclusions>
-        <exclusion>
-          <groupId>com.google.guava</groupId>
-          <artifactId>guava</artifactId>
-        </exclusion>
-      </exclusions>
-    </dependency>
-    <dependency>
-      <groupId>org.apache.spark</groupId>
-      <artifactId>spark-common-utils_${scala.binary.version}</artifactId>
-      <version>${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.apache.spark</groupId>
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 5a0f33ffd5dc1..d1832e65f3e6f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -41,7 +41,7 @@ import org.apache.spark.sql.connect.client.SparkConnectClient.Configuration
 import org.apache.spark.sql.connect.client.arrow.ArrowSerializer
 import org.apache.spark.sql.connect.client.util.Cleaner
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto
-import org.apache.spark.sql.internal.CatalogImpl
+import org.apache.spark.sql.internal.{CatalogImpl, SqlApiConf}
 import org.apache.spark.sql.streaming.DataStreamReader
 import org.apache.spark.sql.streaming.StreamingQueryManager
 import org.apache.spark.sql.types.StructType
@@ -127,7 +127,7 @@ class SparkSession private[sql] (
     newDataset(encoder) { builder =>
       if (data.nonEmpty) {
         val arrowData = ArrowSerializer.serialize(data, encoder, allocator, timeZoneId)
-        if (arrowData.size() <= conf.get("spark.sql.session.localRelationCacheThreshold").toInt) {
+        if (arrowData.size() <= conf.get(SqlApiConf.LOCAL_RELATION_CACHE_THRESHOLD_KEY).toInt) {
           builder.getLocalRelationBuilder
             .setSchema(encoder.schema.json)
             .setData(arrowData)
@@ -528,7 +528,7 @@ class SparkSession private[sql] (
     client.semanticHash(plan).getSemanticHash.getResult
   }
 
-  private[sql] def timeZoneId: String = conf.get("spark.sql.session.timeZone")
+  private[sql] def timeZoneId: String = conf.get(SqlApiConf.SESSION_LOCAL_TIMEZONE_KEY)
 
   private[sql] def execute[T](plan: proto.Plan, encoder: AgnosticEncoder[T]): SparkResult[T] = {
     val value = client.execute(plan)
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index cd3afeb7e90dc..509ceffc55282 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -37,7 +37,7 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
-import org.apache.spark.sql.errors.{ExecutionErrors, QueryCompilationErrors}
+import org.apache.spark.sql.errors.{CompilationErrors, ExecutionErrors}
 import org.apache.spark.sql.types.Decimal
 
 /**
@@ -436,13 +436,13 @@ object ArrowDeserializers {
       val key = toKey(field.getName)
       val old = lookup.put(key, field)
       if (old.isDefined) {
-        throw QueryCompilationErrors.ambiguousColumnOrFieldError(
+        throw CompilationErrors.ambiguousColumnOrFieldError(
           field.getName :: Nil,
           fields.count(f => toKey(f.getName) == key))
       }
     }
     name => {
-      lookup.getOrElse(toKey(name), throw QueryCompilationErrors.columnNotFoundError(name))
+      lookup.getOrElse(toKey(name), throw CompilationErrors.columnNotFoundError(name))
     }
   }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
index 94e01bbef31c7..c4a2cfa8a850f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
@@ -37,7 +37,7 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
-import org.apache.spark.sql.catalyst.util.{IntervalUtils, SparkDateTimeUtils}
+import org.apache.spark.sql.catalyst.util.{SparkDateTimeUtils, SparkIntervalUtils}
 import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.sql.util.ArrowUtils
@@ -191,11 +191,14 @@ object ArrowSerializer {
       allocator: BufferAllocator,
       timeZoneId: String): ByteString = {
     val serializer = new ArrowSerializer[T](enc, allocator, timeZoneId)
-    serializer.reset()
-    input.foreach(serializer.append)
-    val output = ByteString.newOutput()
-    serializer.writeIpcStream(output)
-    output.toByteString
+    try {
+      input.foreach(serializer.append)
+      val output = ByteString.newOutput()
+      serializer.writeIpcStream(output)
+      output.toByteString
+    } finally {
+      serializer.close()
+    }
   }
 
   /**
@@ -313,12 +316,12 @@ object ArrowSerializer {
       case (DayTimeIntervalEncoder, v: DurationVector) =>
         new FieldSerializer[Duration, DurationVector](v) {
           override def set(index: Int, value: Duration): Unit =
-            vector.setSafe(index, IntervalUtils.durationToMicros(value))
+            vector.setSafe(index, SparkIntervalUtils.durationToMicros(value))
         }
       case (YearMonthIntervalEncoder, v: IntervalYearVector) =>
         new FieldSerializer[Period, IntervalYearVector](v) {
           override def set(index: Int, value: Period): Unit =
-            vector.setSafe(index, IntervalUtils.periodToMonths(value))
+            vector.setSafe(index, SparkIntervalUtils.periodToMonths(value))
         }
       case (DateEncoder(true) | LocalDateEncoder(true), v: DateDayVector) =>
         new FieldSerializer[Any, DateDayVector](v) {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
index 63c6a0df5c83f..488208574809b 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
@@ -23,12 +23,11 @@ import java.time.{Duration, Instant, LocalDate, LocalDateTime, Period, ZoneOffse
 import org.apache.arrow.vector.{BigIntVector, BitVector, DateDayVector, DecimalVector, DurationVector, FieldVector, Float4Vector, Float8Vector, IntervalYearVector, IntVector, NullVector, SmallIntVector, TimeStampMicroTZVector, TimeStampMicroVector, TinyIntVector, VarBinaryVector, VarCharVector}
 import org.apache.arrow.vector.util.Text
 
-import org.apache.spark.sql.catalyst.expressions.Cast
-import org.apache.spark.sql.catalyst.util.{DateFormatter, IntervalUtils, StringUtils, TimestampFormatter}
+import org.apache.spark.sql.catalyst.util.{DateFormatter, SparkIntervalUtils, SparkStringUtils, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
 import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
-import org.apache.spark.sql.types.{DataType, DayTimeIntervalType, Decimal, YearMonthIntervalType}
+import org.apache.spark.sql.types.{DataType, DayTimeIntervalType, Decimal, UpCastRule, YearMonthIntervalType}
 import org.apache.spark.sql.util.ArrowUtils
 
 /**
@@ -69,7 +68,7 @@ object ArrowVectorReader {
       vector: FieldVector,
       timeZoneId: String): ArrowVectorReader = {
     val vectorDataType = ArrowUtils.fromArrowType(vector.getField.getType)
-    if (!Cast.canUpCast(vectorDataType, targetDataType)) {
+    if (!UpCastRule.canUpCast(vectorDataType, targetDataType)) {
       throw new RuntimeException(
         s"Reading '$targetDataType' values from a ${vector.getClass} instance is not supported.")
     }
@@ -193,15 +192,15 @@ private[arrow] class VarCharVectorReader(v: VarCharVector)
 private[arrow] class VarBinaryVectorReader(v: VarBinaryVector)
     extends TypedArrowVectorReader[VarBinaryVector](v) {
   override def getBytes(i: Int): Array[Byte] = vector.get(i)
-  override def getString(i: Int): String = StringUtils.getHexString(getBytes(i))
+  override def getString(i: Int): String = SparkStringUtils.getHexString(getBytes(i))
 }
 
 private[arrow] class DurationVectorReader(v: DurationVector)
     extends TypedArrowVectorReader[DurationVector](v) {
   override def getDuration(i: Int): Duration = vector.getObject(i)
   override def getString(i: Int): String = {
-    IntervalUtils.toDayTimeIntervalString(
-      IntervalUtils.durationToMicros(getDuration(i)),
+    SparkIntervalUtils.toDayTimeIntervalString(
+      SparkIntervalUtils.durationToMicros(getDuration(i)),
       ANSI_STYLE,
       DayTimeIntervalType.DEFAULT.startField,
       DayTimeIntervalType.DEFAULT.endField)
@@ -212,7 +211,7 @@ private[arrow] class IntervalYearVectorReader(v: IntervalYearVector)
     extends TypedArrowVectorReader[IntervalYearVector](v) {
   override def getPeriod(i: Int): Period = vector.getObject(i).normalized()
   override def getString(i: Int): String = {
-    IntervalUtils.toYearMonthIntervalString(
+    SparkIntervalUtils.toYearMonthIntervalString(
       vector.get(i),
       ANSI_STYLE,
       YearMonthIntervalType.DEFAULT.startField,
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/protobuf/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/protobuf/functions.scala
index 57ce013065e2b..293490928a278 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/protobuf/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/protobuf/functions.scala
@@ -16,19 +16,16 @@
  */
 package org.apache.spark.sql.protobuf
 
-import java.io.File
 import java.io.FileNotFoundException
-import java.nio.file.NoSuchFileException
+import java.nio.file.{Files, NoSuchFileException, Paths}
 import java.util.Collections
 
 import scala.collection.JavaConverters._
 import scala.util.control.NonFatal
 
-import org.apache.commons.io.FileUtils
-
 import org.apache.spark.annotation.Experimental
 import org.apache.spark.sql.Column
-import org.apache.spark.sql.errors.QueryCompilationErrors
+import org.apache.spark.sql.errors.CompilationErrors
 import org.apache.spark.sql.functions.{fnWithOptions, lit}
 
 // scalastyle:off: object.name
@@ -309,13 +306,13 @@ object functions {
   // This method is copied from org.apache.spark.sql.protobuf.util.ProtobufUtils
   private def readDescriptorFileContent(filePath: String): Array[Byte] = {
     try {
-      FileUtils.readFileToByteArray(new File(filePath))
+      Files.readAllBytes(Paths.get(filePath))
     } catch {
       case ex: FileNotFoundException =>
-        throw QueryCompilationErrors.cannotFindDescriptorFileError(filePath, ex)
+        throw CompilationErrors.cannotFindDescriptorFileError(filePath, ex)
       case ex: NoSuchFileException =>
-        throw QueryCompilationErrors.cannotFindDescriptorFileError(filePath, ex)
-      case NonFatal(ex) => throw QueryCompilationErrors.descriptorParseError(ex)
+        throw CompilationErrors.cannotFindDescriptorFileError(filePath, ex)
+      case NonFatal(ex) => throw CompilationErrors.descriptorParseError(ex)
     }
   }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index b69151f75bea9..852f1799f3689 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -29,7 +29,8 @@ import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.scalactic.TolerantNumerics
 import org.scalatest.PrivateMethodTester
 
-import org.apache.spark.{SPARK_VERSION, SparkException}
+import org.apache.spark.SparkBuildInfo.{spark_version => SPARK_VERSION}
+import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -37,7 +38,7 @@ import org.apache.spark.sql.connect.client.{SparkConnectClient, SparkResult}
 import org.apache.spark.sql.connect.client.util.{IntegrationTestUtils, RemoteSparkSession}
 import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils.port
 import org.apache.spark.sql.functions._
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
@@ -929,7 +930,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
 
   test("SparkSession.createDataFrame - large data set") {
     val threshold = 1024 * 1024
-    withSQLConf(SQLConf.LOCAL_RELATION_CACHE_THRESHOLD.key -> threshold.toString) {
+    withSQLConf(SqlApiConf.LOCAL_RELATION_CACHE_THRESHOLD_KEY -> threshold.toString) {
       val count = 2
       val suffix = "abcdef"
       val str = scala.util.Random.alphanumeric.take(1024 * 1024).mkString + suffix
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
index c44b515bdedf4..525a5902525ad 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
@@ -21,7 +21,7 @@ import scala.collection.JavaConverters._
 
 import org.apache.spark.SparkException
 import org.apache.spark.sql.connect.client.util.QueryTest
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{StringType, StructType}
 
 class DataFrameNaFunctionSuite extends QueryTest with SQLHelper {
@@ -388,7 +388,7 @@ class DataFrameNaFunctionSuite extends QueryTest with SQLHelper {
   }
 
   test("replace float with nan") {
-    withSQLConf(SQLConf.ANSI_ENABLED.key -> false.toString) {
+    withSQLConf(SqlApiConf.ANSI_ENABLED_KEY -> false.toString) {
       checkAnswer(
         createNaNDF().na.replace("*", Map(1.0f -> Float.NaN)),
         Row(0, 0L, 0.toShort, 0.toByte, Float.NaN, Double.NaN) ::
@@ -397,7 +397,7 @@ class DataFrameNaFunctionSuite extends QueryTest with SQLHelper {
   }
 
   test("replace double with nan") {
-    withSQLConf(SQLConf.ANSI_ENABLED.key -> false.toString) {
+    withSQLConf(SqlApiConf.ANSI_ENABLED_KEY -> false.toString) {
       checkAnswer(
         createNaNDF().na.replace("*", Map(1.0 -> Double.NaN)),
         Row(0, 0L, 0.toShort, 0.toByte, Float.NaN, Double.NaN) ::
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
index 7e4e0f24f4fea..11d0696b6e130 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
@@ -44,7 +44,7 @@ import org.apache.spark.sql.functions.lit
 import org.apache.spark.sql.protobuf.{functions => pbFn}
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkFileUtils
 
 // scalastyle:off
 /**
@@ -131,7 +131,7 @@ class PlanGenerationTestSuite
 
   private def cleanOrphanedGoldenFile(): Unit = {
     val allTestNames = testNames.map(_.replace(' ', '_'))
-    val orphans = Utils
+    val orphans = SparkFileUtils
       .recursiveList(queryFilePath.toFile)
       .filter(g =>
         g.getAbsolutePath.endsWith(".proto.bin") ||
@@ -139,7 +139,7 @@ class PlanGenerationTestSuite
       .filter(g =>
         !allTestNames.contains(g.getName.stripSuffix(".proto.bin")) &&
           !allTestNames.contains(g.getName.stripSuffix(".json")))
-    orphans.foreach(Utils.deleteRecursively)
+    orphans.foreach(SparkFileUtils.deleteRecursively)
   }
 
   private def test(name: String)(f: => Dataset[_]): Unit = super.test(name) {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala
index 5603099fd4975..f357270e20fe2 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala
@@ -21,8 +21,7 @@ import java.util.UUID
 
 import org.scalatest.Assertions.fail
 
-import org.apache.spark.sql.catalyst.catalog.SessionCatalog.DEFAULT_DATABASE
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{SparkErrorUtils, SparkFileUtils}
 
 trait SQLHelper {
 
@@ -77,7 +76,7 @@ trait SQLHelper {
     try f(dbName)
     finally {
       if (spark.catalog.currentDatabase == dbName) {
-        spark.sql(s"USE $DEFAULT_DATABASE")
+        spark.sql(s"USE default")
       }
       spark.sql(s"DROP DATABASE $dbName CASCADE")
     }
@@ -88,17 +87,17 @@ trait SQLHelper {
    * If a file/directory is created there by `f`, it will be delete after `f` returns.
    */
   protected def withTempPath(f: File => Unit): Unit = {
-    val path = Utils.createTempDir()
+    val path = SparkFileUtils.createTempDir()
     path.delete()
     try f(path)
-    finally Utils.deleteRecursively(path)
+    finally SparkFileUtils.deleteRecursively(path)
   }
 
   /**
    * Drops table `tableName` after calling `f`.
    */
   protected def withTable(tableNames: String*)(f: => Unit): Unit = {
-    Utils.tryWithSafeFinally(f) {
+    SparkErrorUtils.tryWithSafeFinally(f) {
       tableNames.foreach { name =>
         spark.sql(s"DROP TABLE IF EXISTS $name").collect()
       }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
index 3b5d7dae1b383..6db38bfb1c304 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
@@ -22,11 +22,12 @@ import java.time.temporal.ChronoUnit
 import java.util.concurrent.atomic.AtomicLong
 
 import io.grpc.inprocess.InProcessChannelBuilder
+import org.apache.arrow.memory.RootAllocator
 import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.scalatest.BeforeAndAfterAll
 
-import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, ExpressionEncoder}
 import org.apache.spark.sql.connect.client.SparkConnectClient
+import org.apache.spark.sql.connect.client.arrow.{ArrowDeserializers, ArrowSerializer}
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 
 /**
@@ -54,12 +55,28 @@ class SQLImplicitsTestSuite extends ConnectFunSuite with BeforeAndAfterAll {
     val spark = session
     import spark.implicits._
     def testImplicit[T: Encoder](expected: T): Unit = {
-      val encoder = implicitly[Encoder[T]].asInstanceOf[AgnosticEncoder[T]]
-      val expressionEncoder = ExpressionEncoder(encoder).resolveAndBind()
-      val serializer = expressionEncoder.createSerializer()
-      val deserializer = expressionEncoder.createDeserializer()
-      val actual = deserializer(serializer(expected))
-      assert(actual === expected)
+      val encoder = encoderFor[T]
+      val allocator = new RootAllocator()
+      try {
+        val batch = ArrowSerializer.serialize(
+          input = Iterator.single(expected),
+          enc = encoder,
+          allocator = allocator,
+          timeZoneId = "UTC")
+        val fromArrow = ArrowDeserializers.deserializeFromArrow(
+          input = Iterator.single(batch.toByteArray),
+          encoder = encoder,
+          allocator = allocator,
+          timeZoneId = "UTC")
+        try {
+          assert(fromArrow.next() === expected)
+          assert(!fromArrow.hasNext)
+        } finally {
+          fromArrow.close()
+        }
+      } finally {
+        allocator.close()
+      }
     }
 
     val booleans = Array(false, true, false, false)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
index 5afafaaa6b92f..86deae982a5d0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql
 
+import java.util.concurrent.ForkJoinPool
+
 import scala.collection.mutable
 import scala.concurrent.{ExecutionContext, ExecutionContextExecutor, Future}
 import scala.concurrent.duration._
@@ -25,7 +27,7 @@ import org.scalatest.concurrent.Eventually._
 
 import org.apache.spark.SparkException
 import org.apache.spark.sql.connect.client.util.RemoteSparkSession
-import org.apache.spark.util.ThreadUtils
+import org.apache.spark.util.SparkThreadUtils.awaitResult
 
 /**
  * NOTE: Do not import classes that only exist in `spark-connect-client-jvm.jar` into the this
@@ -102,7 +104,7 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     }
     assert(e2.getMessage.contains("OPERATION_CANCELED"), s"Unexpected exception: $e2")
     finished = true
-    assert(ThreadUtils.awaitResult(interruptor, 10.seconds))
+    assert(awaitResult(interruptor, 10.seconds))
     assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
   }
 
@@ -113,7 +115,7 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     // global ExecutionContext has only 2 threads in Apache Spark CI
     // create own thread pool for four Futures used in this test
     val numThreads = 4
-    val fpool = ThreadUtils.newForkJoinPool("job-tags-test-thread-pool", numThreads)
+    val fpool = new ForkJoinPool(numThreads)
     val executionContext = ExecutionContext.fromExecutorService(fpool)
 
     val q1 = Future {
@@ -200,11 +202,11 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
       assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
     }
     val e2 = intercept[SparkException] {
-      ThreadUtils.awaitResult(q2, 1.minute)
+      awaitResult(q2, 1.minute)
     }
     assert(e2.getCause.getMessage contains "OPERATION_CANCELED")
     val e3 = intercept[SparkException] {
-      ThreadUtils.awaitResult(q3, 1.minute)
+      awaitResult(q3, 1.minute)
     }
     assert(e3.getCause.getMessage contains "OPERATION_CANCELED")
     assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
@@ -217,11 +219,11 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
       assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
     }
     val e1 = intercept[SparkException] {
-      ThreadUtils.awaitResult(q1, 1.minute)
+      awaitResult(q1, 1.minute)
     }
     assert(e1.getCause.getMessage contains "OPERATION_CANCELED")
     val e4 = intercept[SparkException] {
-      ThreadUtils.awaitResult(q4, 1.minute)
+      awaitResult(q4, 1.minute)
     }
     assert(e4.getCause.getMessage contains "OPERATION_CANCELED")
     assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
index a4f1a61cf3997..258fa1e7c740a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
@@ -23,7 +23,6 @@ import java.util.concurrent.atomic.AtomicLong
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.TaskContext
 import org.apache.spark.api.java.function._
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{PrimitiveIntEncoder, PrimitiveLongEncoder}
 import org.apache.spark.sql.connect.client.util.QueryTest
@@ -157,11 +156,8 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
     val sum = new AtomicLong()
     val func: Iterator[JLong] => Unit = f => {
       f.foreach(v => sum.addAndGet(v))
-      TaskContext
-        .get()
-        .addTaskCompletionListener(_ =>
-          // The value should be 45
-          assert(sum.get() == -1))
+      // The value should be 45
+      assert(sum.get() == -1)
     }
     val exception = intercept[Exception] {
       spark.range(10).repartition(1).foreachPartition(func)
@@ -178,11 +174,8 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
         .foreachPartition(new ForeachPartitionFunction[JLong] {
           override def call(t: JIterator[JLong]): Unit = {
             t.asScala.foreach(v => sum.addAndGet(v))
-            TaskContext
-              .get()
-              .addTaskCompletionListener(_ =>
-                // The value should be 45
-                assert(sum.get() == -1))
+            // The value should be 45
+            assert(sum.get() == -1)
           }
         })
     }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
index 1c4ee21773749..684f5671e482b 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
@@ -24,7 +24,7 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.connect.common.UdfPacket
 import org.apache.spark.sql.functions.udf
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkSerDeUtils
 
 class UserDefinedFunctionSuite extends ConnectFunSuite with BeforeAndAfterEach {
 
@@ -42,7 +42,7 @@ class UserDefinedFunctionSuite extends ConnectFunSuite with BeforeAndAfterEach {
 
     assert(udfObj.getNullable)
 
-    val deSer = Utils.deserialize[UdfPacket](udfObj.getPayload.toByteArray)
+    val deSer = SparkSerDeUtils.deserialize[UdfPacket](udfObj.getPayload.toByteArray)
 
     assert(deSer.function.asInstanceOf[Int => Int](5) == func(5))
     assert(deSer.outputEncoder == ScalaReflection.encoderFor(typeTag[Int]))
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
index c9066615bb572..625d4cf43e1a8 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
@@ -21,14 +21,14 @@ import java.nio.file.Paths
 import org.apache.commons.io.FileUtils
 
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkFileUtils
 
 class ClassFinderSuite extends ConnectFunSuite {
 
   private val classResourcePath = commonResourcePath.resolve("artifact-tests")
 
   test("REPLClassDirMonitor functionality test") {
-    val copyDir = Utils.createTempDir().toPath
+    val copyDir = SparkFileUtils.createTempDir().toPath
     FileUtils.copyDirectory(classResourcePath.toFile, copyDir.toFile)
     val monitor = new REPLClassDirMonitor(copyDir.toAbsolutePath.toString)
 
@@ -47,7 +47,7 @@ class ClassFinderSuite extends ConnectFunSuite {
     checkClasses(monitor)
 
     // Add new class file into directory
-    val subDir = Utils.createTempDir(copyDir.toAbsolutePath.toString)
+    val subDir = SparkFileUtils.createTempDir(copyDir.toAbsolutePath.toString)
     val classToCopy = copyDir.resolve("Hello.class")
     val copyLocation = subDir.toPath.resolve("HelloDup.class")
     FileUtils.copyFile(classToCopy.toFile, copyLocation.toFile)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 7d5311e7312df..dd0e9347ac88b 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -36,11 +36,11 @@ import org.apache.spark.sql.catalyst.{DefinedByConstructorParams, JavaTypeInfere
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, CalendarIntervalEncoder, DateEncoder, DayTimeIntervalEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, LocalDateTimeEncoder, NullEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, RowEncoder, ScalaDecimalEncoder, StringEncoder, TimestampEncoder, UDTEncoder, YearMonthIntervalEncoder}
 import org.apache.spark.sql.catalyst.encoders.RowEncoder.{encoderFor => toRowEncoder}
-import org.apache.spark.sql.catalyst.util.{DateFormatter, StringUtils, TimestampFormatter}
+import org.apache.spark.sql.catalyst.util.{DateFormatter, SparkStringUtils, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
-import org.apache.spark.sql.catalyst.util.IntervalUtils._
 import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
+import org.apache.spark.sql.catalyst.util.SparkIntervalUtils._
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.types.{ArrayType, DataType, DayTimeIntervalType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType, YearMonthIntervalType}
@@ -900,7 +900,7 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
           YearMonthIntervalType.DEFAULT.endField)
       })
   UpCastTestCase(BinaryEncoder, i => Array.tabulate(10)(j => (64 + j + i).toByte))
-    .test(StringEncoder, bytes => StringUtils.getHexString(bytes))
+    .test(StringEncoder, bytes => SparkStringUtils.getHexString(bytes))
 
   /* ******************************************************************** *
    * Arrow serialization/deserialization specific errors
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
index 0eaca7577b922..819df5fc25b49 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
@@ -23,7 +23,8 @@ import scala.util.Properties.versionNumberString
 
 import org.scalatest.Assertions.fail
 
-import org.apache.spark.util.Utils
+import org.apache.spark.SparkBuildInfo.{spark_version => SPARK_VERSION}
+import org.apache.spark.util.SparkFileUtils
 
 object IntegrationTestUtils {
 
@@ -75,14 +76,14 @@ object IntegrationTestUtils {
 
   private[sql] lazy val isSparkHiveJarAvailable: Boolean = {
     val filePath = s"$sparkHome/assembly/target/$scalaDir/jars/" +
-      s"spark-hive_$scalaVersion-${org.apache.spark.SPARK_VERSION}.jar"
+      s"spark-hive_$scalaVersion-$SPARK_VERSION.jar"
     Files.exists(Paths.get(filePath))
   }
 
   private[sql] def cleanUpHiveClassesDirIfNeeded(): Unit = {
     def delete(f: File): Unit = {
       if (f.exists()) {
-        Utils.deleteRecursively(f)
+        SparkFileUtils.deleteRecursively(f)
       }
     }
     delete(new File(s"$sparkHome/sql/hive/target/$scalaDir/classes"))
@@ -105,7 +106,7 @@ object IntegrationTestUtils {
     val jar = tryFindJar(path, sbtName, mvnName, test).getOrElse({
       val suffix = if (test) "-tests.jar" else ".jar"
       val sbtFileName = s"$sbtName(.*)$suffix"
-      val mvnFileName = s"$mvnName(.*)${org.apache.spark.SPARK_VERSION}$suffix"
+      val mvnFileName = s"$mvnName(.*)$SPARK_VERSION$suffix"
       throw new RuntimeException(s"Failed to find the jar: $sbtFileName or $mvnFileName " +
         s"inside folder: ${getTargetFilePath(path)}. This file can be generated by similar to " +
         s"the following command: build/sbt package|assembly")
@@ -136,7 +137,7 @@ object IntegrationTestUtils {
       // Maven Jar
       (f.getParent.endsWith("target") &&
         f.getName.startsWith(mvnName) &&
-        f.getName.endsWith(s"${org.apache.spark.SPARK_VERSION}$suffix"))
+        f.getName.endsWith(s"$SPARK_VERSION$suffix"))
     }
   }
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala
index fdbb3edbf84a1..a0d3d4368dd28 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala
@@ -22,7 +22,7 @@ import java.util.TimeZone
 import org.scalatest.Assertions
 
 import org.apache.spark.sql.{DataFrame, Dataset, Row}
-import org.apache.spark.sql.catalyst.util.sideBySide
+import org.apache.spark.sql.catalyst.util.SparkStringUtils.sideBySide
 
 abstract class QueryTest extends RemoteSparkSession {
 
@@ -122,7 +122,7 @@ object QueryTest extends Assertions {
              |${df.analyze}
              |== Exception ==
              |$e
-             |${org.apache.spark.sql.catalyst.util.stackTraceToString(e)}
+             |${org.apache.spark.util.SparkErrorUtils.stackTraceToString(e)}
         """.stripMargin
           return Some(errorMessage)
       }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
index 62770ae383eab..f1ae9684d2a48 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
@@ -33,7 +33,7 @@ import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.functions.window
 import org.apache.spark.sql.streaming.StreamingQueryListener.{QueryIdleEvent, QueryStartedEvent, QueryTerminatedEvent}
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkFileUtils
 
 class StreamingQuerySuite extends QueryTest with SQLHelper with Logging {
 
@@ -359,7 +359,7 @@ class TestForeachWriter[T] extends ForeachWriter[T] {
   var path: File = _
 
   def open(partitionId: Long, version: Long): Boolean = {
-    path = Utils.createTempDir()
+    path = SparkFileUtils.createTempDir()
     fileWriter = new FileWriter(path, true)
     true
   }
@@ -371,7 +371,7 @@ class TestForeachWriter[T] extends ForeachWriter[T] {
 
   def close(errorOrNull: Throwable): Unit = {
     fileWriter.close()
-    Utils.deleteRecursively(path)
+    SparkFileUtils.deleteRecursively(path)
   }
 }
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 1890384b51db5..891cda9723651 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -36,15 +36,9 @@
     <dependencies>
         <dependency>
             <groupId>org.apache.spark</groupId>
-            <artifactId>spark-catalyst_${scala.binary.version}</artifactId>
+            <artifactId>spark-sql-api_${scala.binary.version}</artifactId>
             <version>${project.version}</version>
             <scope>provided</scope>
-            <exclusions>
-                <exclusion>
-                    <groupId>com.google.guava</groupId>
-                    <artifactId>guava</artifactId>
-                </exclusion>
-            </exclusions>
         </dependency>
         <dependency>
             <groupId>org.scala-lang</groupId>
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
index f2abbf9c723ac..00546c02bc7cf 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala
@@ -32,11 +32,11 @@ import com.google.protobuf.ByteString
 
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.catalyst.util.{IntervalUtils, SparkDateTimeUtils}
+import org.apache.spark.sql.catalyst.util.{SparkDateTimeUtils, SparkIntervalUtils}
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter._
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
-import org.apache.spark.util.Utils
+import org.apache.spark.util.SparkClassUtils
 
 object LiteralValueProtoConverter {
 
@@ -93,8 +93,8 @@ object LiteralValueProtoConverter {
       case v: LocalDateTime =>
         builder.setTimestampNtz(SparkDateTimeUtils.localDateTimeToMicros(v))
       case v: Date => builder.setDate(SparkDateTimeUtils.fromJavaDate(v))
-      case v: Duration => builder.setDayTimeInterval(IntervalUtils.durationToMicros(v))
-      case v: Period => builder.setYearMonthInterval(IntervalUtils.periodToMonths(v))
+      case v: Duration => builder.setDayTimeInterval(SparkIntervalUtils.durationToMicros(v))
+      case v: Period => builder.setYearMonthInterval(SparkIntervalUtils.periodToMonths(v))
       case v: Array[_] => builder.setArray(arrayBuilder(v))
       case v: CalendarInterval =>
         builder.setCalendarInterval(calendarIntervalBuilder(v.months, v.days, v.microseconds))
@@ -279,10 +279,10 @@ object LiteralValueProtoConverter {
           literal.getCalendarInterval.getMicroseconds)
 
       case proto.Expression.Literal.LiteralTypeCase.YEAR_MONTH_INTERVAL =>
-        IntervalUtils.monthsToPeriod(literal.getYearMonthInterval)
+        SparkIntervalUtils.monthsToPeriod(literal.getYearMonthInterval)
 
       case proto.Expression.Literal.LiteralTypeCase.DAY_TIME_INTERVAL =>
-        IntervalUtils.microsToDuration(literal.getDayTimeInterval)
+        SparkIntervalUtils.microsToDuration(literal.getDayTimeInterval)
 
       case proto.Expression.Literal.LiteralTypeCase.ARRAY =>
         toCatalystArray(literal.getArray)
@@ -376,7 +376,7 @@ object LiteralValueProtoConverter {
   def toCatalystStruct(struct: proto.Expression.Literal.Struct): Any = {
     def toTuple[A <: Object](data: Seq[A]): Product = {
       try {
-        val tupleClass = Utils.classForName(s"scala.Tuple${data.length}")
+        val tupleClass = SparkClassUtils.classForName(s"scala.Tuple${data.length}")
         tupleClass.getConstructors.head.newInstance(data: _*).asInstanceOf[Product]
       } catch {
         case _: Exception =>
diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 2d61b1b6305fc..a3002eb40f4a7 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -91,7 +91,11 @@ private[spark] object CallSite {
 /**
  * Various utility methods used by Spark.
  */
-private[spark] object Utils extends Logging with SparkClassUtils {
+private[spark] object Utils
+  extends Logging
+  with SparkClassUtils
+  with SparkErrorUtils
+  with SparkFileUtils {
 
   private val sparkUncaughtExceptionHandler = new SparkUncaughtExceptionHandler
   @volatile private var cachedLocalDir: String = ""
@@ -119,16 +123,10 @@ private[spark] object Utils extends Logging with SparkClassUtils {
   })
 
   /** Serialize an object using Java serialization */
-  def serialize[T](o: T): Array[Byte] = {
-    SparkSerDeUtils.serialize(o)
-  }
+  def serialize[T](o: T): Array[Byte] = SparkSerDeUtils.serialize(o)
 
   /** Deserialize an object using Java serialization */
-  def deserialize[T](bytes: Array[Byte]): T = {
-    val bis = new ByteArrayInputStream(bytes)
-    val ois = new ObjectInputStream(bis)
-    ois.readObject.asInstanceOf[T]
-  }
+  def deserialize[T](bytes: Array[Byte]): T = SparkSerDeUtils.deserialize(bytes)
 
   /** Deserialize an object using Java serialization and the given ClassLoader */
   def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
@@ -252,48 +250,11 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     file.setExecutable(true, true)
   }
 
-  /**
-   * Create a directory given the abstract pathname
-   * @return true, if the directory is successfully created; otherwise, return false.
-   */
-  def createDirectory(dir: File): Boolean = {
-    try {
-      // SPARK-35907: The check was required by File.mkdirs() because it could sporadically
-      // fail silently. After switching to Files.createDirectories(), ideally, there should
-      // no longer be silent fails. But the check is kept for the safety concern. We can
-      // remove the check when we're sure that Files.createDirectories() would never fail silently.
-      Files.createDirectories(dir.toPath)
-      if ( !dir.exists() || !dir.isDirectory) {
-        logError(s"Failed to create directory " + dir)
-      }
-      dir.isDirectory
-    } catch {
-      case e: Exception =>
-        logError(s"Failed to create directory " + dir, e)
-        false
-    }
-  }
-
-  /**
-   * Create a directory inside the given parent directory. The directory is guaranteed to be
-   * newly created, and is not marked for automatic deletion.
-   */
-  def createDirectory(root: String, namePrefix: String = "spark"): File = {
-    JavaUtils.createDirectory(root, namePrefix)
-  }
-
-  /**
-   * Create a temporary directory inside the `java.io.tmpdir` prefixed with `spark`.
-   * The directory will be automatically deleted when the VM shuts down.
-   */
-  def createTempDir(): File =
-    createTempDir(System.getProperty("java.io.tmpdir"), "spark")
-
   /**
    * Create a temporary directory inside the given parent directory. The directory will be
    * automatically deleted when the VM shuts down.
    */
-  def createTempDir(
+  override def createTempDir(
       root: String = System.getProperty("java.io.tmpdir"),
       namePrefix: String = "spark"): File = {
     val dir = createDirectory(root, namePrefix)
@@ -1175,30 +1136,14 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     s"${TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startTimeNs)} ms"
   }
 
-  /**
-   * Lists files recursively.
-   */
-  def recursiveList(f: File): Array[File] = {
-    require(f.isDirectory)
-    val result = f.listFiles.toBuffer
-    val dirList = result.filter(_.isDirectory)
-    while (dirList.nonEmpty) {
-      val curDir = dirList.remove(0)
-      val files = curDir.listFiles()
-      result ++= files
-      dirList ++= files.filter(_.isDirectory)
-    }
-    result.toArray
-  }
-
   /**
    * Delete a file or directory and its contents recursively.
    * Don't follow directories if they are symlinks.
    * Throws an exception if deletion is unsuccessful.
    */
-  def deleteRecursively(file: File): Unit = {
+  override def deleteRecursively(file: File): Unit = {
+    super.deleteRecursively(file)
     if (file != null) {
-      JavaUtils.deleteRecursively(file)
       ShutdownHookManager.removeShutdownDeleteDir(file)
     }
   }
@@ -1443,16 +1388,6 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     }
   }
 
-  /**
-   * Execute a block of code that returns a value, re-throwing any non-fatal uncaught
-   * exceptions as IOException. This is used when implementing Externalizable and Serializable's
-   * read and write methods, since Java's serializer will not report non-IOExceptions properly;
-   * see SPARK-4080 for more context.
-   */
-  def tryOrIOException[T](block: => T): T = {
-    SparkErrorUtils.tryOrIOException(block)
-  }
-
   /** Executes the given block. Log non-fatal errors if any, and only throw fatal errors */
   def tryLogNonFatalError(block: => Unit): Unit = {
     try {
@@ -1463,38 +1398,6 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     }
   }
 
-  /**
-   * Execute a block of code, then a finally block, but if exceptions happen in
-   * the finally block, do not suppress the original exception.
-   *
-   * This is primarily an issue with `finally { out.close() }` blocks, where
-   * close needs to be called to clean up `out`, but if an exception happened
-   * in `out.write`, it's likely `out` may be corrupted and `out.close` will
-   * fail as well. This would then suppress the original/likely more meaningful
-   * exception from the original `out.write` call.
-   */
-  def tryWithSafeFinally[T](block: => T)(finallyBlock: => Unit): T = {
-    var originalThrowable: Throwable = null
-    try {
-      block
-    } catch {
-      case t: Throwable =>
-        // Purposefully not using NonFatal, because even fatal exceptions
-        // we don't want to have our finallyBlock suppress
-        originalThrowable = t
-        throw originalThrowable
-    } finally {
-      try {
-        finallyBlock
-      } catch {
-        case t: Throwable if (originalThrowable != null && originalThrowable != t) =>
-          originalThrowable.addSuppressed(t)
-          logWarning(s"Suppressing exception in finally: ${t.getMessage}", t)
-          throw originalThrowable
-      }
-    }
-  }
-
   /**
    * Execute a block of code and call the failure callbacks in the catch block. If exceptions occur
    * in either the catch or the finally block, they are appended to the list of suppressed
@@ -2079,16 +1982,6 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     }
   }
 
-  /**
-   * Return a well-formed URI for the file described by a user input string.
-   *
-   * If the supplied path does not contain a scheme, or is a relative path, it will be
-   * converted into an absolute path with a file:// scheme.
-   */
-  def resolveURI(path: String): URI = {
-    SparkFileUtils.resolveURI(path)
-  }
-
   /** Resolve a comma-separated list of paths. */
   def resolveURIs(paths: String): String = {
     if (paths == null || paths.trim.isEmpty) {
@@ -2740,11 +2633,6 @@ private[spark] object Utils extends Logging with SparkClassUtils {
     initialExecutors
   }
 
-  def tryWithResource[R <: Closeable, T](createResource: => R)(f: R => T): T = {
-    val resource = createResource
-    try f.apply(resource) finally resource.close()
-  }
-
   /**
    * Returns a path of temporary file which is in the same directory with `path`.
    */
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalGroupState.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalGroupState.scala
new file mode 100644
index 0000000000000..40ec411aac604
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalGroupState.scala
@@ -0,0 +1,20 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.plans.logical
+
+/** Internal class representing State */
+trait LogicalGroupState[S]
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkIntervalUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkIntervalUtils.scala
index 05ceb04f12bfb..f9c132ebf3758 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkIntervalUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkIntervalUtils.scala
@@ -16,10 +16,113 @@
  */
 package org.apache.spark.sql.catalyst.util
 
-import org.apache.spark.sql.catalyst.util.DateTimeConstants.{DAYS_PER_WEEK, MICROS_PER_HOUR, MICROS_PER_MINUTE, MICROS_PER_SECOND, MONTHS_PER_YEAR, NANOS_PER_MICROS, NANOS_PER_SECOND}
+import java.time.{Duration, Period}
+import java.time.temporal.ChronoUnit
+
+import scala.collection.mutable
+
+import org.apache.spark.sql.catalyst.util.DateTimeConstants._
+import org.apache.spark.sql.catalyst.util.IntervalStringStyles.{ANSI_STYLE, HIVE_STYLE, IntervalStyle}
+import org.apache.spark.sql.types.{DayTimeIntervalType => DT, YearMonthIntervalType => YM}
 import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
 
 trait SparkIntervalUtils {
+  protected val MAX_DAY: Long = Long.MaxValue / MICROS_PER_DAY
+  protected val MAX_HOUR: Long = Long.MaxValue / MICROS_PER_HOUR
+  protected val MAX_MINUTE: Long = Long.MaxValue / MICROS_PER_MINUTE
+  protected val MAX_SECOND: Long = Long.MaxValue / MICROS_PER_SECOND
+  protected val MIN_SECOND: Long = Long.MinValue / MICROS_PER_SECOND
+
+  // The amount of seconds that can cause overflow in the conversion to microseconds
+  private final val minDurationSeconds = Math.floorDiv(Long.MinValue, MICROS_PER_SECOND)
+
+  /**
+   * Converts this duration to the total length in microseconds.
+   * <p>
+   * If this duration is too large to fit in a [[Long]] microseconds, then an
+   * exception is thrown.
+   * <p>
+   * If this duration has greater than microsecond precision, then the conversion
+   * will drop any excess precision information as though the amount in nanoseconds
+   * was subject to integer division by one thousand.
+   *
+   * @return The total length of the duration in microseconds
+   * @throws ArithmeticException If numeric overflow occurs
+   */
+  def durationToMicros(duration: Duration): Long = {
+    durationToMicros(duration, DT.SECOND)
+  }
+
+  def durationToMicros(duration: Duration, endField: Byte): Long = {
+    val seconds = duration.getSeconds
+    val micros = if (seconds == minDurationSeconds) {
+      val microsInSeconds = (minDurationSeconds + 1) * MICROS_PER_SECOND
+      val nanoAdjustment = duration.getNano
+      assert(0 <= nanoAdjustment && nanoAdjustment < NANOS_PER_SECOND,
+        "Duration.getNano() must return the adjustment to the seconds field " +
+          "in the range from 0 to 999999999 nanoseconds, inclusive.")
+      Math.addExact(microsInSeconds, (nanoAdjustment - NANOS_PER_SECOND) / NANOS_PER_MICROS)
+    } else {
+      val microsInSeconds = Math.multiplyExact(seconds, MICROS_PER_SECOND)
+      Math.addExact(microsInSeconds, duration.getNano / NANOS_PER_MICROS)
+    }
+
+    endField match {
+      case DT.DAY => micros - micros % MICROS_PER_DAY
+      case DT.HOUR => micros - micros % MICROS_PER_HOUR
+      case DT.MINUTE => micros - micros % MICROS_PER_MINUTE
+      case DT.SECOND => micros
+    }
+  }
+
+  /**
+   * Gets the total number of months in this period.
+   * <p>
+   * This returns the total number of months in the period by multiplying the
+   * number of years by 12 and adding the number of months.
+   * <p>
+   *
+   * @return The total number of months in the period, may be negative
+   * @throws ArithmeticException If numeric overflow occurs
+   */
+  def periodToMonths(period: Period): Int = {
+    periodToMonths(period, YM.MONTH)
+  }
+
+  def periodToMonths(period: Period, endField: Byte): Int = {
+    val monthsInYears = Math.multiplyExact(period.getYears, MONTHS_PER_YEAR)
+    val months = Math.addExact(monthsInYears, period.getMonths)
+    if (endField == YM.YEAR) {
+      months - months % MONTHS_PER_YEAR
+    } else {
+      months
+    }
+  }
+
+  /**
+   * Obtains a [[Duration]] representing a number of microseconds.
+   *
+   * @param micros The number of microseconds, positive or negative
+   * @return A [[Duration]], not null
+   */
+  def microsToDuration(micros: Long): Duration = Duration.of(micros, ChronoUnit.MICROS)
+
+  /**
+   * Obtains a [[Period]] representing a number of months. The days unit will be zero, and the years
+   * and months units will be normalized.
+   *
+   * <p>
+   * The months unit is adjusted to have an absolute value < 12, with the years unit being adjusted
+   * to compensate. For example, the method returns "2 years and 3 months" for the 27 input months.
+   * <p>
+   * The sign of the years and months units will be the same after normalization.
+   * For example, -13 months will be converted to "-1 year and -1 month".
+   *
+   * @param months The number of months, positive or negative
+   * @return The period of months, not null
+   */
+  def monthsToPeriod(months: Int): Period = Period.ofMonths(months).normalized()
+
   /**
    * Converts a string to [[CalendarInterval]] case-insensitively.
    *
@@ -226,22 +329,176 @@ trait SparkIntervalUtils {
     result
   }
 
+  /**
+   * Converts an year-month interval as a number of months to its textual representation
+   * which conforms to the ANSI SQL standard.
+   *
+   * @param months The number of months, positive or negative
+   * @param style The style of textual representation of the interval
+   * @param startField The start field (YEAR or MONTH) which the interval comprises of.
+   * @param endField The end field (YEAR or MONTH) which the interval comprises of.
+   * @return Year-month interval string
+   */
+  def toYearMonthIntervalString(
+      months: Int,
+      style: IntervalStyle,
+      startField: Byte,
+      endField: Byte): String = {
+    var sign = ""
+    var absMonths: Long = months
+    if (months < 0) {
+      sign = "-"
+      absMonths = -absMonths
+    }
+    val year = s"$sign${absMonths / MONTHS_PER_YEAR}"
+    val yearAndMonth = s"$year-${absMonths % MONTHS_PER_YEAR}"
+    style match {
+      case ANSI_STYLE =>
+        val formatBuilder = new StringBuilder("INTERVAL '")
+        if (startField == endField) {
+          startField match {
+            case YM.YEAR => formatBuilder.append(s"$year' YEAR")
+            case YM.MONTH => formatBuilder.append(s"$months' MONTH")
+          }
+        } else {
+          formatBuilder.append(s"$yearAndMonth' YEAR TO MONTH")
+        }
+        formatBuilder.toString
+      case HIVE_STYLE => s"$yearAndMonth"
+    }
+  }
+
+  /**
+   * Converts a day-time interval as a number of microseconds to its textual representation
+   * which conforms to the ANSI SQL standard.
+   *
+   * @param micros The number of microseconds, positive or negative
+   * @param style The style of textual representation of the interval
+   * @param startField The start field (DAY, HOUR, MINUTE, SECOND) which the interval comprises of.
+   * @param endField The end field (DAY, HOUR, MINUTE, SECOND) which the interval comprises of.
+   * @return Day-time interval string
+   */
+  def toDayTimeIntervalString(
+      micros: Long,
+      style: IntervalStyle,
+      startField: Byte,
+      endField: Byte): String = {
+    var sign = ""
+    var rest = micros
+    // scalastyle:off caselocale
+    val from = DT.fieldToString(startField).toUpperCase
+    val to = DT.fieldToString(endField).toUpperCase
+    // scalastyle:on caselocale
+    val prefix = "INTERVAL '"
+    val postfix = s"' ${if (startField == endField) from else s"$from TO $to"}"
+
+    if (micros < 0) {
+      if (micros == Long.MinValue) {
+        // Especial handling of minimum `Long` value because negate op overflows `Long`.
+        // seconds = 106751991 * (24 * 60 * 60) + 4 * 60 * 60 + 54 = 9223372036854
+        // microseconds = -9223372036854000000L-775808 == Long.MinValue
+        val baseStr = "-106751991 04:00:54.775808000"
+        val minIntervalString = style match {
+          case ANSI_STYLE =>
+            val firstStr = startField match {
+              case DT.DAY => s"-$MAX_DAY"
+              case DT.HOUR => s"-$MAX_HOUR"
+              case DT.MINUTE => s"-$MAX_MINUTE"
+              case DT.SECOND => s"-$MAX_SECOND.775808"
+            }
+            val followingStr = if (startField == endField) {
+              ""
+            } else {
+              val substrStart = startField match {
+                case DT.DAY => 10
+                case DT.HOUR => 13
+                case DT.MINUTE => 16
+              }
+              val substrEnd = endField match {
+                case DT.HOUR => 13
+                case DT.MINUTE => 16
+                case DT.SECOND => 26
+              }
+              baseStr.substring(substrStart, substrEnd)
+            }
+
+            s"$prefix$firstStr$followingStr$postfix"
+          case HIVE_STYLE => baseStr
+        }
+        return minIntervalString
+      } else {
+        sign = "-"
+        rest = -rest
+      }
+    }
+    val intervalString = style match {
+      case ANSI_STYLE =>
+        val formatBuilder = new mutable.StringBuilder(sign)
+        val formatArgs = new mutable.ArrayBuffer[Long]()
+        startField match {
+          case DT.DAY =>
+            formatBuilder.append(rest / MICROS_PER_DAY)
+            rest %= MICROS_PER_DAY
+          case DT.HOUR =>
+            formatBuilder.append("%02d")
+            formatArgs.append(rest / MICROS_PER_HOUR)
+            rest %= MICROS_PER_HOUR
+          case DT.MINUTE =>
+            formatBuilder.append("%02d")
+            formatArgs.append(rest / MICROS_PER_MINUTE)
+            rest %= MICROS_PER_MINUTE
+          case DT.SECOND =>
+            val leadZero = if (rest < 10 * MICROS_PER_SECOND) "0" else ""
+            formatBuilder.append(s"$leadZero" +
+              s"${java.math.BigDecimal.valueOf(rest, 6).stripTrailingZeros.toPlainString}")
+        }
+
+        if (startField < DT.HOUR && DT.HOUR <= endField) {
+          formatBuilder.append(" %02d")
+          formatArgs.append(rest / MICROS_PER_HOUR)
+          rest %= MICROS_PER_HOUR
+        }
+        if (startField < DT.MINUTE && DT.MINUTE <= endField) {
+          formatBuilder.append(":%02d")
+          formatArgs.append(rest / MICROS_PER_MINUTE)
+          rest %= MICROS_PER_MINUTE
+        }
+        if (startField < DT.SECOND && DT.SECOND <= endField) {
+          val leadZero = if (rest < 10 * MICROS_PER_SECOND) "0" else ""
+          formatBuilder.append(
+            s":$leadZero${java.math.BigDecimal.valueOf(rest, 6).stripTrailingZeros.toPlainString}")
+        }
+        s"$prefix${formatBuilder.toString.format(formatArgs.toSeq: _*)}$postfix"
+      case HIVE_STYLE =>
+        val secondsWithFraction = rest % MICROS_PER_MINUTE
+        rest /= MICROS_PER_MINUTE
+        val minutes = rest % MINUTES_PER_HOUR
+        rest /= MINUTES_PER_HOUR
+        val hours = rest % HOURS_PER_DAY
+        val days = rest / HOURS_PER_DAY
+        val seconds = secondsWithFraction / MICROS_PER_SECOND
+        val nanos = (secondsWithFraction % MICROS_PER_SECOND) * NANOS_PER_MICROS
+        f"$sign$days $hours%02d:$minutes%02d:$seconds%02d.$nanos%09d"
+    }
+    intervalString
+  }
+
   protected def unitToUtf8(unit: String): UTF8String = {
     UTF8String.fromString(unit)
   }
 
-  protected val intervalStr = unitToUtf8("interval")
+  protected val intervalStr: UTF8String = unitToUtf8("interval")
 
-  protected val yearStr = unitToUtf8("year")
-  protected val monthStr = unitToUtf8("month")
-  protected val weekStr = unitToUtf8("week")
-  protected val dayStr = unitToUtf8("day")
-  protected val hourStr = unitToUtf8("hour")
-  protected val minuteStr = unitToUtf8("minute")
-  protected val secondStr = unitToUtf8("second")
-  protected val millisStr = unitToUtf8("millisecond")
-  protected val microsStr = unitToUtf8("microsecond")
-  protected val nanosStr = unitToUtf8("nanosecond")
+  protected val yearStr: UTF8String = unitToUtf8("year")
+  protected val monthStr: UTF8String = unitToUtf8("month")
+  protected val weekStr: UTF8String = unitToUtf8("week")
+  protected val dayStr: UTF8String = unitToUtf8("day")
+  protected val hourStr: UTF8String = unitToUtf8("hour")
+  protected val minuteStr: UTF8String = unitToUtf8("minute")
+  protected val secondStr: UTF8String = unitToUtf8("second")
+  protected val millisStr: UTF8String = unitToUtf8("millisecond")
+  protected val microsStr: UTF8String = unitToUtf8("microsecond")
+  protected val nanosStr: UTF8String = unitToUtf8("nanosecond")
 
 
   private object ParseState extends Enumeration {
@@ -261,3 +518,9 @@ trait SparkIntervalUtils {
 }
 
 object SparkIntervalUtils extends SparkIntervalUtils
+
+// The style of textual representation of intervals
+object IntervalStringStyles extends Enumeration {
+  type IntervalStyle = Value
+  val ANSI_STYLE, HIVE_STYLE = Value
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
index 20fb8bb94bda6..3ac81b943581c 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
@@ -105,4 +105,24 @@ object SparkStringUtils extends Logging {
     // identifier with back-ticks.
     "`" + name.replace("`", "``") + "`"
   }
+
+  /**
+   * Returns a pretty string of the byte array which prints each byte as a hex digit and add spaces
+   * between them. For example, [1A C0].
+   */
+  def getHexString(bytes: Array[Byte]): String = bytes.map("%02X".format(_)).mkString("[", " ", "]")
+
+  def sideBySide(left: String, right: String): Seq[String] = {
+    sideBySide(left.split("\n"), right.split("\n"))
+  }
+
+  def sideBySide(left: Seq[String], right: Seq[String]): Seq[String] = {
+    val maxLeftSize = left.map(_.length).max
+    val leftPadded = left ++ Seq.fill(math.max(right.size - left.size, 0))("")
+    val rightPadded = right ++ Seq.fill(math.max(left.size - right.size, 0))("")
+
+    leftPadded.zip(rightPadded).map {
+      case (l, r) => (if (l == r) " " else "!") + l + (" " * ((maxLeftSize - l.length) + 3)) + r
+    }
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
new file mode 100644
index 0000000000000..deae1198d9cb9
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
@@ -0,0 +1,54 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.errors
+
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.internal.SqlApiConf
+
+private[sql] trait CompilationErrors extends DataTypeErrorsBase {
+  def ambiguousColumnOrFieldError(name: Seq[String], numMatches: Int): AnalysisException = {
+    new AnalysisException(
+      errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
+      messageParameters = Map(
+        "name" -> toSQLId(name),
+        "n" -> numMatches.toString))
+  }
+
+  def columnNotFoundError(colName: String): AnalysisException = {
+    new AnalysisException(
+      errorClass = "COLUMN_NOT_FOUND",
+      messageParameters = Map(
+        "colName" -> toSQLId(colName),
+        "caseSensitiveConfig" -> toSQLConf(SqlApiConf.CASE_SENSITIVE_KEY)))
+  }
+
+  def descriptorParseError(cause: Throwable): AnalysisException = {
+    new AnalysisException(
+      errorClass = "CANNOT_PARSE_PROTOBUF_DESCRIPTOR",
+      messageParameters = Map.empty,
+      cause = Option(cause))
+  }
+
+  def cannotFindDescriptorFileError(filePath: String, cause: Throwable): AnalysisException = {
+    new AnalysisException(
+      errorClass = "PROTOBUF_DESCRIPTOR_FILE_NOT_FOUND",
+      messageParameters = Map("filePath" -> filePath),
+      cause = Option(cause))
+  }
+}
+
+object CompilationErrors extends CompilationErrors
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
index bdc4a5759a147..d746e9037ec48 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
@@ -50,6 +50,9 @@ private[sql] object SqlApiConf {
   // Shared keys.
   val ANSI_ENABLED_KEY: String = "spark.sql.ansi.enabled"
   val LEGACY_TIME_PARSER_POLICY_KEY: String = "spark.sql.legacy.timeParserPolicy"
+  val CASE_SENSITIVE_KEY: String = "spark.sql.caseSensitive"
+  val SESSION_LOCAL_TIMEZONE_KEY: String = "spark.sql.session.timeZone"
+  val LOCAL_RELATION_CACHE_THRESHOLD_KEY: String = "spark.sql.session.localRelationCacheThreshold"
 
   /**
    * Defines a getter that returns the [[SqlApiConf]] within scope.
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/UpCastRule.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/UpCastRule.scala
new file mode 100644
index 0000000000000..8b091b5181228
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/UpCastRule.scala
@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.types
+
+import scala.collection.immutable.IndexedSeq
+
+/**
+ * Rule that defines which upcasts are allow in Spark.
+ */
+private[sql] object UpCastRule {
+  // See https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types.
+  // The conversion for integral and floating point types have a linear widening hierarchy:
+  val numericPrecedence: IndexedSeq[NumericType] = IndexedSeq(
+    ByteType,
+    ShortType,
+    IntegerType,
+    LongType,
+    FloatType,
+    DoubleType)
+
+  /**
+   * Returns true iff we can safely up-cast the `from` type to `to` type without any truncating or
+   * precision lose or possible runtime failures. For example, long to int, string to int are not
+   * up-casts.
+   */
+  def canUpCast(from: DataType, to: DataType): Boolean = (from, to) match {
+    case _ if from == to => true
+    case (from: NumericType, to: DecimalType) if to.isWiderThan(from) => true
+    case (from: DecimalType, to: NumericType) if from.isTighterThan(to) => true
+    case (f, t) if legalNumericPrecedence(f, t) => true
+    case (DateType, TimestampType) => true
+    case (DateType, TimestampNTZType) => true
+    case (TimestampNTZType, TimestampType) => true
+    case (TimestampType, TimestampNTZType) => true
+    case (_: AtomicType, StringType) => true
+    case (_: CalendarIntervalType, StringType) => true
+    case (NullType, _) => true
+
+    // Spark supports casting between long and timestamp, please see `longToTimestamp` and
+    // `timestampToLong` for details.
+    case (TimestampType, LongType) => true
+    case (LongType, TimestampType) => true
+
+    case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
+      resolvableNullability(fn, tn) && canUpCast(fromType, toType)
+
+    case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
+      resolvableNullability(fn, tn) && canUpCast(fromKey, toKey) && canUpCast(fromValue, toValue)
+
+    case (StructType(fromFields), StructType(toFields)) =>
+      fromFields.length == toFields.length &&
+        fromFields.zip(toFields).forall {
+          case (f1, f2) =>
+            resolvableNullability(f1.nullable, f2.nullable) && canUpCast(f1.dataType, f2.dataType)
+        }
+
+    case (_: DayTimeIntervalType, _: DayTimeIntervalType) => true
+    case (_: YearMonthIntervalType, _: YearMonthIntervalType) => true
+
+    case (from: UserDefinedType[_], to: UserDefinedType[_]) if to.acceptsType(from) => true
+
+    case _ => false
+  }
+
+  private def legalNumericPrecedence(from: DataType, to: DataType): Boolean = {
+    val fromPrecedence = numericPrecedence.indexOf(from)
+    val toPrecedence = numericPrecedence.indexOf(to)
+    fromPrecedence >= 0 && fromPrecedence < toPrecedence
+  }
+
+  private def resolvableNullability(from: Boolean, to: Boolean): Boolean = !from || to
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
index 5854f42a06159..8857f0b5a25ec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
@@ -17,11 +17,11 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
-import org.apache.spark.sql.catalyst.analysis.TypeCoercion.numericPrecedence
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.types._
+import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 
 /**
  * In Spark ANSI mode, the type coercion rules are based on the type precedence lists of the input
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index 2a1067be004e5..bf9e461744e14 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -31,6 +31,7 @@ import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
+import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 
 abstract class TypeCoercionBase {
   /**
@@ -856,17 +857,6 @@ object TypeCoercion extends TypeCoercionBase {
 
   override def canCast(from: DataType, to: DataType): Boolean = Cast.canCast(from, to)
 
-  // See https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types.
-  // The conversion for integral and floating point types have a linear widening hierarchy:
-  val numericPrecedence =
-    IndexedSeq(
-      ByteType,
-      ShortType,
-      IntegerType,
-      LongType,
-      FloatType,
-      DoubleType)
-
   override val findTightestCommonType: (DataType, DataType) => Option[DataType] = {
       case (t1, t2) if t1 == t2 => Some(t1)
       case (NullType, t1) => Some(t1)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
index 72df6c33ecd58..24ade61c12149 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
@@ -23,7 +23,7 @@ import java.util.concurrent.TimeUnit._
 
 import org.apache.spark.SparkArithmeticException
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, TypeCoercion}
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
@@ -289,44 +289,7 @@ object Cast extends QueryErrorsBase {
    * precision lose or possible runtime failures. For example, long -> int, string -> int are not
    * up-cast.
    */
-  def canUpCast(from: DataType, to: DataType): Boolean = (from, to) match {
-    case _ if from == to => true
-    case (from: NumericType, to: DecimalType) if to.isWiderThan(from) => true
-    case (from: DecimalType, to: NumericType) if from.isTighterThan(to) => true
-    case (f, t) if legalNumericPrecedence(f, t) => true
-    case (DateType, TimestampType) => true
-    case (DateType, TimestampNTZType) => true
-    case (TimestampNTZType, TimestampType) => true
-    case (TimestampType, TimestampNTZType) => true
-    case (_: AtomicType, StringType) => true
-    case (_: CalendarIntervalType, StringType) => true
-    case (NullType, _) => true
-
-    // Spark supports casting between long and timestamp, please see `longToTimestamp` and
-    // `timestampToLong` for details.
-    case (TimestampType, LongType) => true
-    case (LongType, TimestampType) => true
-
-    case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
-      resolvableNullability(fn, tn) && canUpCast(fromType, toType)
-
-    case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
-      resolvableNullability(fn, tn) && canUpCast(fromKey, toKey) && canUpCast(fromValue, toValue)
-
-    case (StructType(fromFields), StructType(toFields)) =>
-      fromFields.length == toFields.length &&
-        fromFields.zip(toFields).forall {
-          case (f1, f2) =>
-            resolvableNullability(f1.nullable, f2.nullable) && canUpCast(f1.dataType, f2.dataType)
-        }
-
-    case (_: DayTimeIntervalType, _: DayTimeIntervalType) => true
-    case (_: YearMonthIntervalType, _: YearMonthIntervalType) => true
-
-    case (from: UserDefinedType[_], to: UserDefinedType[_]) if to.acceptsType(from) => true
-
-    case _ => false
-  }
+  def canUpCast(from: DataType, to: DataType): Boolean = UpCastRule.canUpCast(from, to)
 
   /**
    * Returns true iff we can cast the `from` type to `to` type as per the ANSI SQL.
@@ -359,12 +322,6 @@ object Cast extends QueryErrorsBase {
     case _ => false
   }
 
-  private def legalNumericPrecedence(from: DataType, to: DataType): Boolean = {
-    val fromPrecedence = TypeCoercion.numericPrecedence.indexOf(from)
-    val toPrecedence = TypeCoercion.numericPrecedence.indexOf(to)
-    fromPrecedence >= 0 && fromPrecedence < toPrecedence
-  }
-
   def canNullSafeCastToDecimal(from: DataType, to: DecimalType): Boolean = from match {
     case from: BooleanType if to.isWiderThan(DecimalType.BooleanDecimal) => true
     case from: NumericType if to.isWiderThan(from) => true
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
index ab9f451e88f56..f903863bec6b2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
@@ -22,7 +22,7 @@ import java.time.ZoneOffset
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
-import org.apache.spark.sql.catalyst.util.{ArrayData, DateFormatter, IntervalStringStyles, IntervalUtils, MapData, StringUtils, TimestampFormatter}
+import org.apache.spark.sql.catalyst.util.{ArrayData, DateFormatter, IntervalStringStyles, IntervalUtils, MapData, SparkStringUtils, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.UTF8StringBuilder
@@ -53,7 +53,7 @@ trait ToStringBase { self: UnaryExpression with TimeZoneAwareExpression =>
     case CalendarIntervalType =>
       acceptAny[CalendarInterval](i => UTF8String.fromString(i.toString))
     case BinaryType if useHexFormatForBinary =>
-      acceptAny[Array[Byte]](binary => UTF8String.fromString(StringUtils.getHexString(binary)))
+      acceptAny[Array[Byte]](binary => UTF8String.fromString(SparkStringUtils.getHexString(binary)))
     case BinaryType =>
       acceptAny[Array[Byte]](UTF8String.fromBytes)
     case DateType =>
@@ -173,7 +173,7 @@ trait ToStringBase { self: UnaryExpression with TimeZoneAwareExpression =>
     from match {
       case BinaryType if useHexFormatForBinary =>
         (c, evPrim) =>
-          val utilCls = StringUtils.getClass.getName.stripSuffix("$")
+          val utilCls = SparkStringUtils.getClass.getName.stripSuffix("$")
           code"$evPrim = UTF8String.fromString($utilCls.getHexString($c));"
       case BinaryType =>
         (c, evPrim) => code"$evPrim = UTF8String.fromBytes($c);"
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
index 0abbbae93c619..d4851019db864 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
@@ -448,9 +448,6 @@ case class MapGroups(
     copy(child = newChild)
 }
 
-/** Internal class representing State */
-trait LogicalGroupState[S]
-
 /** Factory for constructing new `MapGroupsWithState` nodes. */
 object FlatMapGroupsWithState {
   def apply[K: Encoder, V: Encoder, S: Encoder, U: Encoder](
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
index 24620e692a004..e051cfc37f12d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
@@ -17,18 +17,14 @@
 
 package org.apache.spark.sql.catalyst.util
 
-import java.time.{Duration, Period}
-import java.time.temporal.ChronoUnit
 import java.util.Locale
 import java.util.concurrent.TimeUnit
 
-import scala.collection.mutable
 import scala.util.control.NonFatal
 
 import org.apache.spark.sql.catalyst.expressions.Literal
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
-import org.apache.spark.sql.catalyst.util.IntervalStringStyles.{ANSI_STYLE, HIVE_STYLE, IntervalStyle}
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
@@ -37,20 +33,8 @@ import org.apache.spark.sql.types.DayTimeIntervalType.{DAY, HOUR, MINUTE, SECOND
 import org.apache.spark.sql.types.YearMonthIntervalType.{MONTH, YEAR}
 import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
 
-// The style of textual representation of intervals
-object IntervalStringStyles extends Enumeration {
-  type IntervalStyle = Value
-  val ANSI_STYLE, HIVE_STYLE = Value
-}
-
 object IntervalUtils extends SparkIntervalUtils {
 
-  private val MAX_DAY = Long.MaxValue / MICROS_PER_DAY
-  private val MAX_HOUR = Long.MaxValue / MICROS_PER_HOUR
-  private val MAX_MINUTE = Long.MaxValue / MICROS_PER_MINUTE
-  private val MAX_SECOND = Long.MaxValue / MICROS_PER_SECOND
-  private val MIN_SECOND = Long.MinValue / MICROS_PER_SECOND
-
   def getYears(months: Int): Int = months / MONTHS_PER_YEAR
 
   def getYears(interval: CalendarInterval): Int = getYears(interval.months)
@@ -781,250 +765,6 @@ object IntervalUtils extends SparkIntervalUtils {
     micros
   }
 
-  // The amount of seconds that can cause overflow in the conversion to microseconds
-  private final val minDurationSeconds = Math.floorDiv(Long.MinValue, MICROS_PER_SECOND)
-
-  /**
-   * Converts this duration to the total length in microseconds.
-   * <p>
-   * If this duration is too large to fit in a [[Long]] microseconds, then an
-   * exception is thrown.
-   * <p>
-   * If this duration has greater than microsecond precision, then the conversion
-   * will drop any excess precision information as though the amount in nanoseconds
-   * was subject to integer division by one thousand.
-   *
-   * @return The total length of the duration in microseconds
-   * @throws ArithmeticException If numeric overflow occurs
-   */
-  def durationToMicros(duration: Duration): Long = {
-    durationToMicros(duration, DT.SECOND)
-  }
-
-  def durationToMicros(duration: Duration, endField: Byte): Long = {
-    val seconds = duration.getSeconds
-    val micros = if (seconds == minDurationSeconds) {
-      val microsInSeconds = (minDurationSeconds + 1) * MICROS_PER_SECOND
-      val nanoAdjustment = duration.getNano
-      assert(0 <= nanoAdjustment && nanoAdjustment < NANOS_PER_SECOND,
-        "Duration.getNano() must return the adjustment to the seconds field " +
-          "in the range from 0 to 999999999 nanoseconds, inclusive.")
-      Math.addExact(microsInSeconds, (nanoAdjustment - NANOS_PER_SECOND) / NANOS_PER_MICROS)
-    } else {
-      val microsInSeconds = Math.multiplyExact(seconds, MICROS_PER_SECOND)
-      Math.addExact(microsInSeconds, duration.getNano / NANOS_PER_MICROS)
-    }
-
-    endField match {
-      case DT.DAY => micros - micros % MICROS_PER_DAY
-      case DT.HOUR => micros - micros % MICROS_PER_HOUR
-      case DT.MINUTE => micros - micros % MICROS_PER_MINUTE
-      case DT.SECOND => micros
-    }
-  }
-
-  /**
-   * Obtains a [[Duration]] representing a number of microseconds.
-   *
-   * @param micros The number of microseconds, positive or negative
-   * @return A [[Duration]], not null
-   */
-  def microsToDuration(micros: Long): Duration = Duration.of(micros, ChronoUnit.MICROS)
-
-  /**
-   * Gets the total number of months in this period.
-   * <p>
-   * This returns the total number of months in the period by multiplying the
-   * number of years by 12 and adding the number of months.
-   * <p>
-   *
-   * @return The total number of months in the period, may be negative
-   * @throws ArithmeticException If numeric overflow occurs
-   */
-  def periodToMonths(period: Period): Int = {
-    periodToMonths(period, YM.MONTH)
-  }
-
-  def periodToMonths(period: Period, endField: Byte): Int = {
-    val monthsInYears = Math.multiplyExact(period.getYears, MONTHS_PER_YEAR)
-    val months = Math.addExact(monthsInYears, period.getMonths)
-    if (endField == YM.YEAR) {
-      months - months % MONTHS_PER_YEAR
-    } else {
-      months
-    }
-  }
-
-  /**
-   * Obtains a [[Period]] representing a number of months. The days unit will be zero, and the years
-   * and months units will be normalized.
-   *
-   * <p>
-   * The months unit is adjusted to have an absolute value < 12, with the years unit being adjusted
-   * to compensate. For example, the method returns "2 years and 3 months" for the 27 input months.
-   * <p>
-   * The sign of the years and months units will be the same after normalization.
-   * For example, -13 months will be converted to "-1 year and -1 month".
-   *
-   * @param months The number of months, positive or negative
-   * @return The period of months, not null
-   */
-  def monthsToPeriod(months: Int): Period = Period.ofMonths(months).normalized()
-
-  /**
-   * Converts an year-month interval as a number of months to its textual representation
-   * which conforms to the ANSI SQL standard.
-   *
-   * @param months The number of months, positive or negative
-   * @param style The style of textual representation of the interval
-   * @param startField The start field (YEAR or MONTH) which the interval comprises of.
-   * @param endField The end field (YEAR or MONTH) which the interval comprises of.
-   * @return Year-month interval string
-   */
-  def toYearMonthIntervalString(
-      months: Int,
-      style: IntervalStyle,
-      startField: Byte,
-      endField: Byte): String = {
-    var sign = ""
-    var absMonths: Long = months
-    if (months < 0) {
-      sign = "-"
-      absMonths = -absMonths
-    }
-    val year = s"$sign${absMonths / MONTHS_PER_YEAR}"
-    val yearAndMonth = s"$year-${absMonths % MONTHS_PER_YEAR}"
-    style match {
-      case ANSI_STYLE =>
-        val formatBuilder = new StringBuilder("INTERVAL '")
-        if (startField == endField) {
-          startField match {
-            case YM.YEAR => formatBuilder.append(s"$year' YEAR")
-            case YM.MONTH => formatBuilder.append(s"$months' MONTH")
-          }
-        } else {
-          formatBuilder.append(s"$yearAndMonth' YEAR TO MONTH")
-        }
-        formatBuilder.toString
-      case HIVE_STYLE => s"$yearAndMonth"
-    }
-  }
-
-  /**
-   * Converts a day-time interval as a number of microseconds to its textual representation
-   * which conforms to the ANSI SQL standard.
-   *
-   * @param micros The number of microseconds, positive or negative
-   * @param style The style of textual representation of the interval
-   * @param startField The start field (DAY, HOUR, MINUTE, SECOND) which the interval comprises of.
-   * @param endField The end field (DAY, HOUR, MINUTE, SECOND) which the interval comprises of.
-   * @return Day-time interval string
-   */
-  def toDayTimeIntervalString(
-      micros: Long,
-      style: IntervalStyle,
-      startField: Byte,
-      endField: Byte): String = {
-    var sign = ""
-    var rest = micros
-    // scalastyle:off caselocale
-    val from = DT.fieldToString(startField).toUpperCase
-    val to = DT.fieldToString(endField).toUpperCase
-    // scalastyle:on caselocale
-    val prefix = "INTERVAL '"
-    val postfix = s"' ${if (startField == endField) from else s"$from TO $to"}"
-
-    if (micros < 0) {
-      if (micros == Long.MinValue) {
-        // Especial handling of minimum `Long` value because negate op overflows `Long`.
-        // seconds = 106751991 * (24 * 60 * 60) + 4 * 60 * 60 + 54 = 9223372036854
-        // microseconds = -9223372036854000000L-775808 == Long.MinValue
-        val baseStr = "-106751991 04:00:54.775808000"
-        val minIntervalString = style match {
-          case ANSI_STYLE =>
-            val firstStr = startField match {
-              case DT.DAY => s"-$MAX_DAY"
-              case DT.HOUR => s"-$MAX_HOUR"
-              case DT.MINUTE => s"-$MAX_MINUTE"
-              case DT.SECOND => s"-$MAX_SECOND.775808"
-            }
-            val followingStr = if (startField == endField) {
-              ""
-            } else {
-              val substrStart = startField match {
-                case DT.DAY => 10
-                case DT.HOUR => 13
-                case DT.MINUTE => 16
-              }
-              val substrEnd = endField match {
-                case DT.HOUR => 13
-                case DT.MINUTE => 16
-                case DT.SECOND => 26
-              }
-              baseStr.substring(substrStart, substrEnd)
-            }
-
-            s"$prefix$firstStr$followingStr$postfix"
-          case HIVE_STYLE => baseStr
-        }
-        return minIntervalString
-      } else {
-        sign = "-"
-        rest = -rest
-      }
-    }
-    val intervalString = style match {
-      case ANSI_STYLE =>
-        val formatBuilder = new mutable.StringBuilder(sign)
-        val formatArgs = new mutable.ArrayBuffer[Long]()
-        startField match {
-          case DT.DAY =>
-            formatBuilder.append(rest / MICROS_PER_DAY)
-            rest %= MICROS_PER_DAY
-          case DT.HOUR =>
-            formatBuilder.append("%02d")
-            formatArgs.append(rest / MICROS_PER_HOUR)
-            rest %= MICROS_PER_HOUR
-          case DT.MINUTE =>
-            formatBuilder.append("%02d")
-            formatArgs.append(rest / MICROS_PER_MINUTE)
-            rest %= MICROS_PER_MINUTE
-          case DT.SECOND =>
-            val leadZero = if (rest < 10 * MICROS_PER_SECOND) "0" else ""
-            formatBuilder.append(s"$leadZero" +
-              s"${java.math.BigDecimal.valueOf(rest, 6).stripTrailingZeros.toPlainString}")
-        }
-
-        if (startField < DT.HOUR && DT.HOUR <= endField) {
-          formatBuilder.append(" %02d")
-          formatArgs.append(rest / MICROS_PER_HOUR)
-          rest %= MICROS_PER_HOUR
-        }
-        if (startField < DT.MINUTE && DT.MINUTE <= endField) {
-          formatBuilder.append(":%02d")
-          formatArgs.append(rest / MICROS_PER_MINUTE)
-          rest %= MICROS_PER_MINUTE
-        }
-        if (startField < DT.SECOND && DT.SECOND <= endField) {
-          val leadZero = if (rest < 10 * MICROS_PER_SECOND) "0" else ""
-          formatBuilder.append(
-            s":$leadZero${java.math.BigDecimal.valueOf(rest, 6).stripTrailingZeros.toPlainString}")
-        }
-        s"$prefix${formatBuilder.toString.format(formatArgs.toSeq: _*)}$postfix"
-      case HIVE_STYLE =>
-        val secondsWithFraction = rest % MICROS_PER_MINUTE
-        rest /= MICROS_PER_MINUTE
-        val minutes = rest % MINUTES_PER_HOUR
-        rest /= MINUTES_PER_HOUR
-        val hours = rest % HOURS_PER_DAY
-        val days = rest / HOURS_PER_DAY
-        val seconds = secondsWithFraction / MICROS_PER_SECOND
-        val nanos = (secondsWithFraction % MICROS_PER_SECOND) * NANOS_PER_MICROS
-        f"$sign$days $hours%02d:$minutes%02d:$seconds%02d.$nanos%09d"
-    }
-    intervalString
-  }
-
   def intToYearMonthInterval(v: Int, startField: Byte, endField: Byte): Int = {
     endField match {
       case YEAR =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
index 8721bb809fc19..78d4beab41473 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
@@ -27,7 +27,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.types.{MetadataBuilder, NumericType, StringType, StructType}
 import org.apache.spark.unsafe.types.UTF8String
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{SparkErrorUtils, Utils}
 
 package object util extends Logging {
 
@@ -81,27 +81,14 @@ package object util extends Logging {
   }
 
   def sideBySide(left: String, right: String): Seq[String] = {
-    sideBySide(left.split("\n"), right.split("\n"))
+    SparkStringUtils.sideBySide(left, right)
   }
 
   def sideBySide(left: Seq[String], right: Seq[String]): Seq[String] = {
-    val maxLeftSize = left.map(_.length).max
-    val leftPadded = left ++ Seq.fill(math.max(right.size - left.size, 0))("")
-    val rightPadded = right ++ Seq.fill(math.max(left.size - right.size, 0))("")
-
-    leftPadded.zip(rightPadded).map {
-      case (l, r) => (if (l == r) " " else "!") + l + (" " * ((maxLeftSize - l.length) + 3)) + r
-    }
+    SparkStringUtils.sideBySide(left, right)
   }
 
-  def stackTraceToString(t: Throwable): String = {
-    val out = new java.io.ByteArrayOutputStream
-    Utils.tryWithResource(new PrintWriter(out)) { writer =>
-      t.printStackTrace(writer)
-      writer.flush()
-    }
-    new String(out.toByteArray, UTF_8)
-  }
+  def stackTraceToString(t: Throwable): String = SparkErrorUtils.stackTraceToString(t)
 
   // Replaces attributes, string literals, complex type extractors with their pretty form so that
   // generated column names don't contain back-ticks or double-quotes.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 79b8e9f389e14..79b88fde483ea 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -48,7 +48,7 @@ import org.apache.spark.sql.types._
  * As commands are executed eagerly, this also includes errors thrown during the execution of
  * commands, which users can see immediately.
  */
-private[sql] object QueryCompilationErrors extends QueryErrorsBase {
+private[sql] object QueryCompilationErrors extends QueryErrorsBase with CompilationErrors {
 
   def unexpectedRequiredParameterInFunctionSignature(
       functionName: String, functionSignature: FunctionSignature) : Throwable = {
@@ -1929,15 +1929,6 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
       origin = context)
   }
 
-  def ambiguousColumnOrFieldError(
-      name: Seq[String], numMatches: Int): Throwable = {
-    new AnalysisException(
-      errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
-      messageParameters = Map(
-        "name" -> toSQLId(name),
-        "n" -> numMatches.toString))
-  }
-
   def ambiguousReferenceError(name: String, ambiguousReferences: Seq[Attribute]): Throwable = {
     new AnalysisException(
       errorClass = "AMBIGUOUS_REFERENCE",
@@ -2449,14 +2440,6 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
       messageParameters = Map("columnName" -> toSQLId(columnName)))
   }
 
-  def columnNotFoundError(colName: String): Throwable = {
-    new AnalysisException(
-      errorClass = "COLUMN_NOT_FOUND",
-      messageParameters = Map(
-        "colName" -> toSQLId(colName),
-        "caseSensitiveConfig" -> toSQLConf(SQLConf.CASE_SENSITIVE.key)))
-  }
-
   def noSuchTableError(db: String, table: String): Throwable = {
     new NoSuchTableException(db = db, table = table)
   }
@@ -3551,20 +3534,6 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase {
       messageParameters = Map("messageName" -> messageName))
   }
 
-  def descriptorParseError(cause: Throwable): Throwable = {
-    new AnalysisException(
-      errorClass = "CANNOT_PARSE_PROTOBUF_DESCRIPTOR",
-      messageParameters = Map.empty,
-      cause = Option(cause))
-  }
-
-  def cannotFindDescriptorFileError(filePath: String, cause: Throwable): Throwable = {
-    new AnalysisException(
-      errorClass = "PROTOBUF_DESCRIPTOR_FILE_NOT_FOUND",
-      messageParameters = Map("filePath" -> filePath),
-      cause = Option(cause))
-  }
-
   def foundRecursionInProtobufSchema(fieldDescriptor: String): Throwable = {
     new AnalysisException(
       errorClass = "RECURSIVE_PROTOBUF_SCHEMA",
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index e74c3ada491a1..444ecbd837f90 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -885,7 +885,7 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
-  val CASE_SENSITIVE = buildConf("spark.sql.caseSensitive")
+  val CASE_SENSITIVE = buildConf(SqlApiConf.CASE_SENSITIVE_KEY)
     .internal()
     .doc("Whether the query analyzer should be case sensitive or not. " +
       "Default to case insensitive. It is highly discouraged to turn on case sensitive mode.")
@@ -2657,7 +2657,7 @@ object SQLConf {
     Try { DateTimeUtils.getZoneId(zone) }.isSuccess
   }
 
-  val SESSION_LOCAL_TIMEZONE = buildConf("spark.sql.session.timeZone")
+  val SESSION_LOCAL_TIMEZONE = buildConf(SqlApiConf.SESSION_LOCAL_TIMEZONE_KEY)
     .doc("The ID of session local timezone in the format of either region-based zone IDs or " +
       "zone offsets. Region IDs must have the form 'area/city', such as 'America/Los_Angeles'. " +
       "Zone offsets must be in the format '(+|-)HH', '(+|-)HH:mm' or '(+|-)HH:mm:ss', e.g '-08', " +
@@ -4325,7 +4325,7 @@ object SQLConf {
       .createWithDefault(false)
 
   val LOCAL_RELATION_CACHE_THRESHOLD =
-    buildConf("spark.sql.session.localRelationCacheThreshold")
+    buildConf(SqlApiConf.LOCAL_RELATION_CACHE_THRESHOLD_KEY)
       .doc("The threshold for the size in bytes of local relations to be cached at " +
         "the driver side after serialization.")
       .version("3.5.0")
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
index 7c11ccf6a0d79..34f87f940a788 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
@@ -28,7 +28,6 @@ import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
-import org.apache.spark.sql.catalyst.analysis.TypeCoercion.numericPrecedence
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
@@ -40,6 +39,7 @@ import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.DataTypeTestUtils.{dayTimeIntervalTypes, yearMonthIntervalTypes}
 import org.apache.spark.sql.types.DayTimeIntervalType.{DAY, HOUR, MINUTE, SECOND}
+import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 import org.apache.spark.sql.types.YearMonthIntervalType.{MONTH, YEAR}
 import org.apache.spark.unsafe.types.UTF8String
 

From d01821e0a99f527b1c151c19b0f44c26121ad57d Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Fri, 28 Jul 2023 22:47:00 -0400
Subject: [PATCH 091/986] [SPARK-44574][SQL][CONNECT] Errors that moved into
 sq/api should also use AnalysisException

### What changes were proposed in this pull request?

https://github.com/apache/spark/pull/42130 moved AnalysisException to sql/api. So we can use AnalysisException for those errors that were moved into sql/api but changed to SparkException.

### Why are the changes needed?

Restore to previous behavior.

### Does this PR introduce _any_ user-facing change?

No. This PR recovers the behaviors to the past which users should see AnalysisException upon many cases.

### How was this patch tested?

Existing UT.

Closes #42190 from amaliujia/convert_back_errors.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 3761b7d65bd1e21b5a7c5966c2d03a0fe4a0b982)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/errors/DataTypeErrors.scala     | 53 ++++++++-----------
 .../sql/errors/QueryCompilationErrors.scala   |  7 +--
 .../spark/sql/types/StructTypeSuite.scala     | 26 ++++-----
 .../spark/sql/CharVarcharTestSuite.scala      | 28 +++++-----
 .../org/apache/spark/sql/DataFrameSuite.scala |  2 +-
 .../apache/spark/sql/JsonFunctionsSuite.scala |  6 +--
 .../spark/sql/connector/AlterTableTests.scala |  2 +-
 .../errors/QueryCompilationErrorsSuite.scala  |  4 +-
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala |  4 +-
 .../sql/test/DataFrameReaderWriterSuite.scala | 12 ++---
 10 files changed, 68 insertions(+), 76 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
index fcc3086b57310..7a34a386cd889 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala
@@ -17,8 +17,10 @@
 package org.apache.spark.sql.errors
 
 import org.apache.spark.{SparkArithmeticException, SparkException, SparkIllegalArgumentException, SparkNumberFormatException, SparkRuntimeException, SparkUnsupportedOperationException}
+import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.trees.{Origin, SQLQueryContext}
 import org.apache.spark.sql.catalyst.util.QuotingUtils
+import org.apache.spark.sql.catalyst.util.QuotingUtils.toSQLSchema
 import org.apache.spark.sql.types.{DataType, Decimal, StringType}
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -97,49 +99,45 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
   }
 
   def schemaFailToParseError(schema: String, e: Throwable): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "INVALID_SCHEMA.PARSE_ERROR",
       messageParameters = Map(
-        "inputSchema" -> QuotingUtils.toSQLSchema(schema),
+        "inputSchema" -> toSQLSchema(schema),
         "reason" -> e.getMessage
       ),
-      cause = e)
+      cause = Some(e))
   }
 
   def invalidDayTimeIntervalType(startFieldName: String, endFieldName: String): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1224",
       messageParameters = Map(
         "startFieldName" -> startFieldName,
-        "endFieldName" -> endFieldName),
-      cause = null)
+        "endFieldName" -> endFieldName))
   }
 
   def invalidDayTimeField(field: Byte, supportedIds: Seq[String]): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1223",
       messageParameters = Map(
         "field" -> field.toString,
-        "supportedIds" -> supportedIds.mkString(", ")),
-      cause = null)
+        "supportedIds" -> supportedIds.mkString(", ")))
   }
 
   def invalidYearMonthField(field: Byte, supportedIds: Seq[String]): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1225",
       messageParameters = Map(
         "field" -> field.toString,
-        "supportedIds" -> supportedIds.mkString(", ")),
-      cause = null)
+        "supportedIds" -> supportedIds.mkString(", ")))
   }
 
   def decimalCannotGreaterThanPrecisionError(scale: Int, precision: Int): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1228",
       messageParameters = Map(
         "scale" -> scale.toString,
-        "precision" -> precision.toString),
-      cause = null)
+        "precision" -> precision.toString))
   }
 
   def negativeScaleNotAllowedError(scale: Int): Throwable = {
@@ -150,10 +148,9 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
   }
 
   def attributeNameSyntaxError(name: String): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1049",
-      messageParameters = Map("name" -> name),
-      cause = null)
+      messageParameters = Map("name" -> name))
   }
 
   def cannotMergeIncompatibleDataTypesError(left: DataType, right: DataType): Throwable = {
@@ -182,13 +179,12 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
   }
 
   def invalidFieldName(fieldName: Seq[String], path: Seq[String], context: Origin): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "INVALID_FIELD_NAME",
       messageParameters = Map(
         "fieldName" -> toSQLId(fieldName),
         "path" -> toSQLId(path)),
-      cause = null,
-      context = context.getQueryContext)
+      origin = context)
   }
 
   def unscaledValueTooLargeForPrecisionError(
@@ -241,13 +237,12 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
 
   def ambiguousColumnOrFieldError(
       name: Seq[String], numMatches: Int, context: Origin): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
       messageParameters = Map(
         "name" -> toSQLId(name),
         "n" -> numMatches.toString),
-      cause = null,
-      context = context.getQueryContext)
+      origin = context)
   }
 
   def castingCauseOverflowError(t: String, from: DataType, to: DataType): ArithmeticException = {
@@ -283,16 +278,14 @@ private[sql] object DataTypeErrors extends DataTypeErrorsBase {
   }
 
   def charOrVarcharTypeAsStringUnsupportedError(): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING",
-      messageParameters = Map.empty,
-      cause = null)
+      messageParameters = Map.empty)
   }
 
   def userSpecifiedSchemaUnsupportedError(operation: String): Throwable = {
-    new SparkException(
+    new AnalysisException(
       errorClass = "_LEGACY_ERROR_TEMP_1189",
-      messageParameters = Map("operation" -> operation),
-      cause = null)
+      messageParameters = Map("operation" -> operation))
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 79b88fde483ea..010b4ec92a918 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -1921,12 +1921,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
 
   def ambiguousColumnOrFieldError(
       name: Seq[String], numMatches: Int, context: Origin): Throwable = {
-    new AnalysisException(
-      errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
-      messageParameters = Map(
-        "name" -> toSQLId(name),
-        "n" -> numMatches.toString),
-      origin = context)
+    DataTypeErrors.ambiguousColumnOrFieldError(name, numMatches, context)
   }
 
   def ambiguousReferenceError(name: String, ambiguousReferences: Seq[Attribute]): Throwable = {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
index 623c6c69165d4..fefe9145ee366 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/types/StructTypeSuite.scala
@@ -324,7 +324,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     check(Seq("s1", "S12"), Some(Seq("s1") -> StructField("s12", IntegerType)))
     caseSensitiveCheck(Seq("s1", "S12"), None)
     check(Seq("S1.non_exist"), None)
-    var e = intercept[SparkException] {
+    var e = intercept[AnalysisException] {
       check(Seq("S1", "S12", "S123"), None)
     }
     checkError(
@@ -335,17 +335,17 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "path" -> "`s1`.`s12`"))
 
     // ambiguous name
-    var e2 = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       check(Seq("S2", "x"), None)
     }
     checkError(
-      exception = e2,
+      exception = e,
       errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
       parameters = Map("name" -> "`S2`.`x`", "n" -> "2"))
     caseSensitiveCheck(Seq("s2", "x"), Some(Seq("s2") -> StructField("x", IntegerType)))
 
     // simple map type
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       check(Seq("m1", "key"), None)
     }
     checkError(
@@ -356,7 +356,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "path" -> "`m1`"))
     checkCollection(Seq("m1", "key"), Some(Seq("m1") -> StructField("key", IntegerType, false)))
     checkCollection(Seq("M1", "value"), Some(Seq("m1") -> StructField("value", IntegerType)))
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("M1", "key", "name"), None)
     }
     checkError(
@@ -365,7 +365,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
       parameters = Map(
         "fieldName" -> "`M1`.`key`.`name`",
         "path" -> "`m1`.`key`"))
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("M1", "value", "name"), None)
     }
     checkError(
@@ -382,7 +382,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("M2", "value", "b"),
       Some(Seq("m2", "value") -> StructField("b", IntegerType)))
     checkCollection(Seq("M2", "value", "non_exist"), None)
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("m2", "key", "A", "name"), None)
     }
     checkError(
@@ -391,7 +391,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
       parameters = Map(
         "fieldName" -> "`m2`.`key`.`A`.`name`",
         "path" -> "`m2`.`key`.`a`"))
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("M2", "value", "b", "name"), None)
     }
     checkError(
@@ -401,7 +401,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "fieldName" -> "`M2`.`value`.`b`.`name`",
         "path" -> "`m2`.`value`.`b`"))
     // simple array type
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       check(Seq("A1", "element"), None)
     }
     checkError(
@@ -411,7 +411,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
         "fieldName" -> "`A1`.`element`",
         "path" -> "`a1`"))
     checkCollection(Seq("A1", "element"), Some(Seq("a1") -> StructField("element", IntegerType)))
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("A1", "element", "name"), None)
     }
     checkError(
@@ -425,7 +425,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("A2", "element", "C"),
       Some(Seq("a2", "element") -> StructField("c", IntegerType)))
     checkCollection(Seq("A2", "element", "non_exist"), None)
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("a2", "element", "C", "name"), None)
     }
     checkError(
@@ -439,7 +439,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("M3", "value", "value", "MA"),
       Some(Seq("m3", "value", "value") -> StructField("ma", IntegerType)))
     checkCollection(Seq("M3", "value", "value", "non_exist"), None)
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("M3", "value", "value", "MA", "name"), None)
     }
     checkError(
@@ -453,7 +453,7 @@ class StructTypeSuite extends SparkFunSuite with SQLHelper {
     checkCollection(Seq("A3", "element", "element", "D"),
       Some(Seq("a3", "element", "element") -> StructField("d", IntegerType)))
     checkCollection(Seq("A3", "element", "element", "non_exist"), None)
-    e = intercept[SparkException] {
+    e = intercept[AnalysisException] {
       checkCollection(Seq("A3", "element", "element", "D", "name"), None)
     }
     checkError(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
index 55009f2416cc2..4a7632486c046 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
@@ -794,11 +794,15 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in functions") {
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         sql("""SELECT from_json('{"a": "str"}', 'a CHAR(5)')""")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING",
-      parameters = Map.empty
+      parameters = Map.empty,
+      context = ExpectedContext(
+        fragment = "from_json('{\"a\": \"str\"}', 'a CHAR(5)')",
+        start = 7,
+        stop = 44)
     )
     withSQLConf((SQLConf.LEGACY_CHAR_VARCHAR_AS_STRING.key, "true")) {
       val df = sql("""SELECT from_json('{"a": "str"}', 'a CHAR(5)')""")
@@ -812,19 +816,19 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
     val df = spark.range(10).map(_.toString).toDF()
     val schema = new StructType().add("id", CharType(5))
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.createDataFrame(df.collectAsList(), schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.createDataFrame(df.rdd, schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.createDataFrame(df.toJavaRDD, schema)
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -838,12 +842,12 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in spark.read.schema") {
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.read.schema(new StructType().add("id", CharType(5)))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING")
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.read.schema("id char(5)")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -880,13 +884,13 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in udf's result type") {
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.udf.register("testchar", () => "B", VarcharType(1))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.udf.register("testchar2", (x: String) => x, VarcharType(1))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -905,13 +909,13 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
 
   test("invalidate char/varchar in spark.readStream.schema") {
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.readStream.schema(new StructType().add("id", CharType(5)))
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
     )
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         spark.readStream.schema("id char(5)")
       },
       errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING"
@@ -934,7 +938,7 @@ class BasicCharVarcharTestSuite extends QueryTest with SharedSparkSession {
       sql("CREATE TABLE t(c char(10), v varchar(255)) USING parquet")
       sql("INSERT INTO t VALUES('spark', 'awesome')")
       val df = sql("SELECT * FROM t")
-      checkError(exception = intercept[SparkException] {
+      checkError(exception = intercept[AnalysisException] {
         df.to(newSchema)
       }, errorClass = "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING", parameters = Map.empty)
       withSQLConf((SQLConf.LEGACY_CHAR_VARCHAR_AS_STRING.key, "true")) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index e1c355dc019c1..2eba9f1810982 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -1721,7 +1721,7 @@ class DataFrameSuite extends QueryTest
 
       def checkSyntaxError(name: String): Unit = {
         checkError(
-          exception = intercept[SparkException] {
+          exception = intercept[org.apache.spark.sql.AnalysisException] {
             df(name)
           },
           errorClass = "_LEGACY_ERROR_TEMP_1049",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
index b21a8344fd00e..187fab75f6378 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
@@ -1150,7 +1150,7 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
     val invalidJsonSchema = """{"fields": [{"a":123}], "type": "struct"}"""
     val invalidJsonSchemaReason = "Failed to convert the JSON string '{\"a\":123}' to a field."
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         df.select(from_json($"json", invalidJsonSchema, Map.empty[String, String])).collect()
       },
       errorClass = "INVALID_SCHEMA.PARSE_ERROR",
@@ -1165,7 +1165,7 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
       "was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n " +
       "at [Source: (String)\"MAP<INT, cow>\"; line: 1, column: 4]"
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         df.select(from_json($"json", invalidDataType, Map.empty[String, String])).collect()
       },
       errorClass = "INVALID_SCHEMA.PARSE_ERROR",
@@ -1180,7 +1180,7 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
       "was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n" +
       " at [Source: (String)\"x INT, a cow\"; line: 1, column: 2]"
     checkError(
-      exception = intercept[SparkException] {
+      exception = intercept[AnalysisException] {
         df.select(from_json($"json", invalidTableSchema, Map.empty[String, String])).collect()
       },
       errorClass = "INVALID_SCHEMA.PARSE_ERROR",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
index 248783dd6c6f4..a18c767570f01 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
@@ -838,7 +838,7 @@ trait AlterTableTests extends SharedSparkSession with QueryErrorsBase {
       assert(e2.getMessage.contains("Missing field point.non_exist"))
 
       // `AlterTable.resolved` checks column existence.
-      intercept[SparkException](
+      intercept[AnalysisException](
         sql(s"ALTER TABLE $t ALTER COLUMN a.y AFTER x"))
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
index 04f9da5312c38..7f938deaaa645 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.errors
 
-import org.apache.spark.{SPARK_DOC_ROOT, SparkException}
+import org.apache.spark.SPARK_DOC_ROOT
 import org.apache.spark.sql.{AnalysisException, ClassData, IntegratedUDFTestUtils, QueryTest, Row}
 import org.apache.spark.sql.api.java.{UDF1, UDF2, UDF23Test}
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -532,7 +532,7 @@ class QueryCompilationErrorsSuite
 
       val query = "ALTER TABLE t CHANGE COLUMN c.X COMMENT 'new comment'"
       checkError(
-        exception = intercept[SparkException] {
+        exception = intercept[AnalysisException] {
           sql(query)
         },
         errorClass = "AMBIGUOUS_COLUMN_OR_FIELD",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 94c344fc38423..93b6652d516cc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -1364,12 +1364,12 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val schema = StructType(Seq(StructField("name", StringType, false, defaultMetadata),
       StructField("theid", IntegerType, false, defaultMetadata)))
     val parts = Array[String]("THEID < 2", "THEID >= 2")
-    val e1 = intercept[SparkException] {
+    val e1 = intercept[AnalysisException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", parts, new Properties())
     }.getMessage
     assert(e1.contains("User specified schema not supported with `jdbc`"))
 
-    val e2 = intercept[SparkException] {
+    val e2 = intercept[AnalysisException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", new Properties())
     }.getMessage
     assert(e2.contains("User specified schema not supported with `jdbc`"))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
index 967d384d97922..17348fe2dcbb5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
@@ -32,7 +32,7 @@ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
 import org.apache.parquet.schema.Type.Repetition
 import org.scalatest.BeforeAndAfter
 
-import org.apache.spark.{SparkContext, SparkException, TestUtils}
+import org.apache.spark.{SparkContext, TestUtils}
 import org.apache.spark.internal.io.FileCommitProtocol.TaskCommitMessage
 import org.apache.spark.internal.io.HadoopMapReduceCommitProtocol
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
@@ -633,12 +633,12 @@ class DataFrameReaderWriterSuite extends QueryTest with SharedSparkSession with
     testRead(Option(dir).map(spark.read.text).get, data, textSchema)
 
     // Reader, with user specified schema, should just apply user schema on the file data
-    val e = intercept[SparkException] { spark.read.schema(userSchema).textFile() }
+    val e = intercept[AnalysisException] { spark.read.schema(userSchema).textFile() }
     assert(e.getMessage.toLowerCase(Locale.ROOT).contains(
       "user specified schema not supported"))
-    intercept[SparkException] { spark.read.schema(userSchema).textFile(dir) }
-    intercept[SparkException] { spark.read.schema(userSchema).textFile(dir, dir) }
-    intercept[SparkException] { spark.read.schema(userSchema).textFile(Seq(dir, dir): _*) }
+    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(dir) }
+    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(dir, dir) }
+    intercept[AnalysisException] { spark.read.schema(userSchema).textFile(Seq(dir, dir): _*) }
   }
 
   test("csv - API and behavior regarding schema") {
@@ -969,7 +969,7 @@ class DataFrameReaderWriterSuite extends QueryTest with SharedSparkSession with
   test("SPARK-16848: table API throws an exception for user specified schema") {
     withTable("t") {
       val schema = StructType(StructField("a", StringType) :: Nil)
-      val e = intercept[SparkException] {
+      val e = intercept[AnalysisException] {
         spark.read.schema(schema).table("t")
       }.getMessage
       assert(e.contains("User specified schema not supported with `table`"))

From 408c3df01d20bb539929bdfdb236f899c428a12e Mon Sep 17 00:00:00 2001
From: Zhen Li <zhenlineo@users.noreply.github.com>
Date: Fri, 28 Jul 2023 22:59:07 -0400
Subject: [PATCH 092/986] [SPARK-43744][CONNECT] Fix class loading problem
 caused by stub user classes not found on the server classpath

### What changes were proposed in this pull request?
This PR introduces a stub class loader for unpacking Scala UDFs in the driver and the executor. When encountering user classes that are not found on the server session classpath, the stub class loader would try to stub the class.

This solves the problem that when serializing UDFs, Java serializer might include unnecessary user code e.g. User classes used in the lambda definition signatures in the same class where the UDF is defined.

If the user code is actually needed to execute the UDF, we will return an error message to suggest the user to add the missing classes using the `addArtifact` method.

### Why are the changes needed?
To enhance the user experience of UDF. This PR should be merged to master and 3.5.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Added test both for Scala 2.12 & 2.13

4 tests in SparkSessionE2ESuite still fail to run with maven after the fix because the client test jar is installed on the system classpath (added using --jar at server start), the stub classloader can only stub classes missing from the session classpath (added using `session.addArtifact`).

Moving the test jar to the session classpath causes failures in tests for `flatMapGroupsWithState` (SPARK-44576). Finish moving the test jar to session classpath once `flatMapGroupsWithState` test failures are fixed.

Closes #42069 from zhenlineo/ref-spark-result.

Authored-by: Zhen Li <zhenlineo@users.noreply.github.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 6d0fed9a18ff87e73fdf1ee46b6b0d2df8dd5a1b)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/SparkSession.scala   |   2 +-
 .../sql/expressions/UserDefinedFunction.scala |   2 +-
 .../test/resources/StubClassDummyUdf.scala    |  56 ++++++++
 .../client/jvm/src/test/resources/udf2.12     | Bin 0 -> 1520 bytes
 .../client/jvm/src/test/resources/udf2.12.jar | Bin 0 -> 5332 bytes
 .../client/jvm/src/test/resources/udf2.13     | Bin 0 -> 1630 bytes
 .../client/jvm/src/test/resources/udf2.13.jar | Bin 0 -> 5674 bytes
 .../client/UDFClassLoadingE2ESuite.scala      |  83 +++++++++++
 .../client/util/IntegrationTestUtils.scala    |   2 +-
 .../client/util/RemoteSparkSession.scala      |   2 +-
 .../SparkConnectArtifactManager.scala         |  17 ++-
 .../connect/planner/SparkConnectPlanner.scala |  23 ++-
 .../connect/server/src/test/resources/udf     | Bin 0 -> 973 bytes
 .../server/src/test/resources/udf_noA.jar     | Bin 0 -> 5545 bytes
 .../artifact/StubClassLoaderSuite.scala       | 132 ++++++++++++++++++
 .../spark/util/ChildFirstURLClassLoader.java  |   9 ++
 .../org/apache/spark/executor/Executor.scala  |  86 ++++++++++--
 .../spark/internal/config/package.scala       |  14 ++
 .../apache/spark/util/StubClassLoader.scala   |  79 +++++++++++
 19 files changed, 480 insertions(+), 27 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/test/resources/StubClassDummyUdf.scala
 create mode 100644 connector/connect/client/jvm/src/test/resources/udf2.12
 create mode 100644 connector/connect/client/jvm/src/test/resources/udf2.12.jar
 create mode 100644 connector/connect/client/jvm/src/test/resources/udf2.13
 create mode 100644 connector/connect/client/jvm/src/test/resources/udf2.13.jar
 create mode 100644 connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala
 create mode 100644 connector/connect/server/src/test/resources/udf
 create mode 100644 connector/connect/server/src/test/resources/udf_noA.jar
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
 create mode 100644 core/src/main/scala/org/apache/spark/util/StubClassLoader.scala

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index d1832e65f3e6f..4b3de91b56f9f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -554,7 +554,7 @@ class SparkSession private[sql] (
     val command = proto.Command.newBuilder().setRegisterFunction(udf).build()
     val plan = proto.Plan.newBuilder().setCommand(command).build()
 
-    client.execute(plan)
+    client.execute(plan).asScala.foreach(_ => ())
   }
 
   @DeveloperApi
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
index 18aef8a2e4cfd..e5c89d90c19b5 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
@@ -92,7 +92,7 @@ sealed abstract class UserDefinedFunction {
 /**
  * Holder class for a scalar user-defined function and it's input/output encoder(s).
  */
-case class ScalarUserDefinedFunction private (
+case class ScalarUserDefinedFunction private[sql] (
     // SPARK-43198: Eagerly serialize to prevent the UDF from containing a reference to this class.
     serializedUdfPacket: Array[Byte],
     inputTypes: Seq[proto.DataType],
diff --git a/connector/connect/client/jvm/src/test/resources/StubClassDummyUdf.scala b/connector/connect/client/jvm/src/test/resources/StubClassDummyUdf.scala
new file mode 100644
index 0000000000000..ff1b3deafafdc
--- /dev/null
+++ b/connector/connect/client/jvm/src/test/resources/StubClassDummyUdf.scala
@@ -0,0 +1,56 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client
+
+// To generate a jar from the source file:
+// `scalac StubClassDummyUdf.scala -d udf.jar`
+// To remove class A from the jar:
+// `jar -xvf udf.jar` -> delete A.class and A$.class
+// `jar -cvf udf_noA.jar org/`
+class StubClassDummyUdf {
+  val udf: Int => Int = (x: Int) => x + 1
+  val dummy = (x: Int) => A(x)
+}
+
+case class A(x: Int) { def get: Int = x + 5 }
+
+// The code to generate the udf file
+object StubClassDummyUdf {
+  import java.io.{BufferedOutputStream, File, FileOutputStream}
+  import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.PrimitiveIntEncoder
+  import org.apache.spark.sql.connect.common.UdfPacket
+  import org.apache.spark.util.Utils
+
+  def packDummyUdf(): String = {
+    val byteArray =
+      Utils.serialize[UdfPacket](
+        new UdfPacket(
+          new StubClassDummyUdf().udf,
+          Seq(PrimitiveIntEncoder),
+          PrimitiveIntEncoder
+        )
+      )
+    val file = new File("src/test/resources/udf")
+    val target = new BufferedOutputStream(new FileOutputStream(file))
+    try {
+      target.write(byteArray)
+      file.getAbsolutePath
+    } finally {
+      target.close
+    }
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/resources/udf2.12 b/connector/connect/client/jvm/src/test/resources/udf2.12
new file mode 100644
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diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala
new file mode 100644
index 0000000000000..8fdb7efbcba71
--- /dev/null
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client
+
+import java.io.File
+import java.nio.file.{Files, Paths}
+
+import scala.util.Properties
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.connect.client.util.RemoteSparkSession
+import org.apache.spark.sql.connect.common.ProtoDataTypes
+import org.apache.spark.sql.expressions.ScalarUserDefinedFunction
+
+class UDFClassLoadingE2ESuite extends RemoteSparkSession {
+
+  private val scalaVersion = Properties.versionNumberString
+    .split("\\.")
+    .take(2)
+    .mkString(".")
+
+  // See src/test/resources/StubClassDummyUdf for how the UDFs and jars are created.
+  private val udfByteArray: Array[Byte] =
+    Files.readAllBytes(Paths.get(s"src/test/resources/udf$scalaVersion"))
+  private val udfJar =
+    new File(s"src/test/resources/udf$scalaVersion.jar").toURI.toURL
+
+  private def registerUdf(session: SparkSession): Unit = {
+    val udf = ScalarUserDefinedFunction(
+      serializedUdfPacket = udfByteArray,
+      inputTypes = Seq(ProtoDataTypes.IntegerType),
+      outputType = ProtoDataTypes.IntegerType,
+      name = Some("dummyUdf"),
+      nullable = true,
+      deterministic = true)
+    session.registerUdf(udf.toProto)
+  }
+
+  test("update class loader after stubbing: new session") {
+    // Session1 should stub the missing class, but fail to call methods on it
+    val session1 = spark.newSession()
+
+    assert(
+      intercept[Exception] {
+        registerUdf(session1)
+      }.getMessage.contains(
+        "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf"))
+
+    // Session2 uses the real class
+    val session2 = spark.newSession()
+    session2.addArtifact(udfJar.toURI)
+    registerUdf(session2)
+  }
+
+  test("update class loader after stubbing: same session") {
+    // Session should stub the missing class, but fail to call methods on it
+    val session = spark.newSession()
+
+    assert(
+      intercept[Exception] {
+        registerUdf(session)
+      }.getMessage.contains(
+        "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf"))
+
+    // Session uses the real class
+    session.addArtifact(udfJar.toURI)
+    registerUdf(session)
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
index 819df5fc25b49..4d88565308f2d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
@@ -30,7 +30,7 @@ object IntegrationTestUtils {
 
   // System properties used for testing and debugging
   private val DEBUG_SC_JVM_CLIENT = "spark.debug.sc.jvm.client"
-  // Enable this flag to print all client debug log + server logs to the console
+  // Enable this flag to print all server logs to the console
   private[connect] val isDebug = System.getProperty(DEBUG_SC_JVM_CLIENT, "false").toBoolean
 
   private[sql] lazy val scalaVersion = {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
index 594d3c369fe69..1c1cb1403fee0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
@@ -96,7 +96,7 @@ object SparkConnectServerUtils {
     // To find InMemoryTableCatalog for V2 writer tests
     val catalystTestJar =
       tryFindJar("sql/catalyst", "spark-catalyst", "spark-catalyst", test = true)
-        .map(clientTestJar => Seq("--jars", clientTestJar.getCanonicalPath))
+        .map(clientTestJar => Seq(clientTestJar.getCanonicalPath))
         .getOrElse(Seq.empty)
 
     // For UDF maven E2E tests, the server needs the client code to find the UDFs defined in tests.
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
index d8f290639c2fd..03391cef68b0e 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
@@ -31,12 +31,13 @@ import org.apache.hadoop.fs.{LocalFileSystem, Path => FSPath}
 
 import org.apache.spark.{JobArtifactSet, JobArtifactState, SparkContext, SparkEnv}
 import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.CONNECT_SCALA_UDF_STUB_CLASSES
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.util.ArtifactUtils
 import org.apache.spark.sql.connect.config.Connect.CONNECT_COPY_FROM_LOCAL_TO_FS_ALLOW_DEST_LOCAL
 import org.apache.spark.sql.connect.service.SessionHolder
 import org.apache.spark.storage.{CacheId, StorageLevel}
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{ChildFirstURLClassLoader, StubClassLoader, Utils}
 
 /**
  * The Artifact Manager for the [[SparkConnectService]].
@@ -161,7 +162,19 @@ class SparkConnectArtifactManager(sessionHolder: SessionHolder) extends Logging
    */
   def classloader: ClassLoader = {
     val urls = getSparkConnectAddedJars :+ classDir.toUri.toURL
-    new URLClassLoader(urls.toArray, Utils.getContextOrSparkClassLoader)
+    val loader = if (SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_CLASSES).nonEmpty) {
+      val stubClassLoader =
+        StubClassLoader(null, SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_CLASSES))
+      new ChildFirstURLClassLoader(
+        urls.toArray,
+        stubClassLoader,
+        Utils.getContextOrSparkClassLoader)
+    } else {
+      new URLClassLoader(urls.toArray, Utils.getContextOrSparkClassLoader)
+    }
+
+    logDebug(s"Using class loader: $loader, containing urls: $urls")
+    loader
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 36037cce7eb70..58e6e7ea23fdd 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connect.planner
 
+import java.io.IOException
+
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.Try
@@ -1504,15 +1506,24 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
   }
 
   private def unpackUdf(fun: proto.CommonInlineUserDefinedFunction): UdfPacket = {
-    Utils.deserialize[UdfPacket](
-      fun.getScalarScalaUdf.getPayload.toByteArray,
-      Utils.getContextOrSparkClassLoader)
+    unpackScalarScalaUDF[UdfPacket](fun.getScalarScalaUdf)
   }
 
   private def unpackForeachWriter(fun: proto.ScalarScalaUDF): ForeachWriterPacket = {
-    Utils.deserialize[ForeachWriterPacket](
-      fun.getPayload.toByteArray,
-      Utils.getContextOrSparkClassLoader)
+    unpackScalarScalaUDF[ForeachWriterPacket](fun)
+  }
+
+  private def unpackScalarScalaUDF[T](fun: proto.ScalarScalaUDF): T = {
+    try {
+      logDebug(s"Unpack using class loader: ${Utils.getContextOrSparkClassLoader}")
+      Utils.deserialize[T](fun.getPayload.toByteArray, Utils.getContextOrSparkClassLoader)
+    } catch {
+      case e: IOException if e.getCause.isInstanceOf[NoSuchMethodException] =>
+        throw new ClassNotFoundException(
+          s"Failed to load class correctly due to ${e.getCause}. " +
+            "Make sure the artifact where the class is defined is installed by calling" +
+            " session.addArtifact.")
+    }
   }
 
   /**
diff --git a/connector/connect/server/src/test/resources/udf b/connector/connect/server/src/test/resources/udf
new file mode 100644
index 0000000000000000000000000000000000000000..55a3264a017fdccbed4cf40334bc6563395b890e
GIT binary patch
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literal 0
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new file mode 100644
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diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
new file mode 100644
index 0000000000000..0f6e05431518f
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
@@ -0,0 +1,132 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.artifact
+
+import java.io.File
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.util.{ChildFirstURLClassLoader, StubClassLoader}
+
+class StubClassLoaderSuite extends SparkFunSuite {
+
+  // See src/test/resources/StubClassDummyUdf for how the UDFs and jars are created.
+  private val udfNoAJar = new File("src/test/resources/udf_noA.jar").toURI.toURL
+  private val classDummyUdf = "org.apache.spark.sql.connect.client.StubClassDummyUdf"
+  private val classA = "org.apache.spark.sql.connect.client.A"
+
+  test("find class with stub class") {
+    val cl = new RecordedStubClassLoader(getClass().getClassLoader(), _ => true)
+    val cls = cl.findClass("my.name.HelloWorld")
+    assert(cls.getName === "my.name.HelloWorld")
+    assert(cl.lastStubbed === "my.name.HelloWorld")
+  }
+
+  test("class for name with stub class") {
+    val cl = new RecordedStubClassLoader(getClass().getClassLoader(), _ => true)
+    // scalastyle:off classforname
+    val cls = Class.forName("my.name.HelloWorld", false, cl)
+    // scalastyle:on classforname
+    assert(cls.getName === "my.name.HelloWorld")
+    assert(cl.lastStubbed === "my.name.HelloWorld")
+  }
+
+  test("filter class to stub") {
+    val list = "my.name" :: Nil
+    val cl = StubClassLoader(getClass().getClassLoader(), list)
+    val cls = cl.findClass("my.name.HelloWorld")
+    assert(cls.getName === "my.name.HelloWorld")
+
+    intercept[ClassNotFoundException] {
+      cl.findClass("name.my.GoodDay")
+    }
+  }
+
+  test("stub missing class") {
+    val sysClassLoader = getClass.getClassLoader()
+    val stubClassLoader = new RecordedStubClassLoader(null, _ => true)
+
+    // Install artifact without class A.
+    val sessionClassLoader =
+      new ChildFirstURLClassLoader(Array(udfNoAJar), stubClassLoader, sysClassLoader)
+    // Load udf with A used in the same class.
+    loadDummyUdf(sessionClassLoader)
+    // Class A should be stubbed.
+    assert(stubClassLoader.lastStubbed === classA)
+  }
+
+  test("unload stub class") {
+    val sysClassLoader = getClass.getClassLoader()
+    val stubClassLoader = new RecordedStubClassLoader(null, _ => true)
+
+    val cl1 = new ChildFirstURLClassLoader(Array.empty, stubClassLoader, sysClassLoader)
+
+    // Failed to load DummyUdf
+    intercept[Exception] {
+      loadDummyUdf(cl1)
+    }
+    // Successfully stubbed the missing class.
+    assert(stubClassLoader.lastStubbed === classDummyUdf)
+
+    // Creating a new class loader will unpack the udf correctly.
+    val cl2 = new ChildFirstURLClassLoader(
+      Array(udfNoAJar),
+      stubClassLoader, // even with the same stub class loader.
+      sysClassLoader)
+    // Should be able to load after the artifact is added
+    loadDummyUdf(cl2)
+  }
+
+  test("throw no such method if trying to access methods on stub class") {
+    val sysClassLoader = getClass.getClassLoader()
+    val stubClassLoader = new RecordedStubClassLoader(null, _ => true)
+
+    val sessionClassLoader =
+      new ChildFirstURLClassLoader(Array.empty, stubClassLoader, sysClassLoader)
+
+    // Failed to load DummyUdf because of missing methods
+    assert(intercept[NoSuchMethodException] {
+      loadDummyUdf(sessionClassLoader)
+    }.getMessage.contains(classDummyUdf))
+    // Successfully stubbed the missing class.
+    assert(stubClassLoader.lastStubbed === classDummyUdf)
+  }
+
+  private def loadDummyUdf(sessionClassLoader: ClassLoader): Unit = {
+    // Load DummyUdf and call a method on it.
+    // scalastyle:off classforname
+    val cls = Class.forName(classDummyUdf, false, sessionClassLoader)
+    // scalastyle:on classforname
+    cls.getDeclaredMethod("dummy")
+
+    // Load class A used inside DummyUdf
+    // scalastyle:off classforname
+    Class.forName(classA, false, sessionClassLoader)
+    // scalastyle:on classforname
+  }
+}
+
+class RecordedStubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
+    extends StubClassLoader(parent, shouldStub) {
+  var lastStubbed: String = _
+
+  override def findClass(name: String): Class[_] = {
+    if (shouldStub(name)) {
+      lastStubbed = name
+    }
+    super.findClass(name)
+  }
+}
diff --git a/core/src/main/java/org/apache/spark/util/ChildFirstURLClassLoader.java b/core/src/main/java/org/apache/spark/util/ChildFirstURLClassLoader.java
index 57d96756c8bee..2791209e019b6 100644
--- a/core/src/main/java/org/apache/spark/util/ChildFirstURLClassLoader.java
+++ b/core/src/main/java/org/apache/spark/util/ChildFirstURLClassLoader.java
@@ -40,6 +40,15 @@ public ChildFirstURLClassLoader(URL[] urls, ClassLoader parent) {
     this.parent = new ParentClassLoader(parent);
   }
 
+  /**
+   * Specify the grandparent if there is a need to load in the order of
+   * `grandparent -&gt; urls (child) -&gt; parent`.
+   */
+  public ChildFirstURLClassLoader(URL[] urls, ClassLoader parent, ClassLoader grandparent) {
+    super(urls, grandparent);
+    this.parent = new ParentClassLoader(parent);
+  }
+
   @Override
   public Class<?> loadClass(String name, boolean resolve) throws ClassNotFoundException {
     try {
diff --git a/core/src/main/scala/org/apache/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala
index b30569dc96414..9327ea4d3dd75 100644
--- a/core/src/main/scala/org/apache/spark/executor/Executor.scala
+++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala
@@ -56,11 +56,12 @@ import org.apache.spark.util._
 
 private[spark] class IsolatedSessionState(
   val sessionUUID: String,
-  val urlClassLoader: MutableURLClassLoader,
+  var urlClassLoader: MutableURLClassLoader,
   var replClassLoader: ClassLoader,
   val currentFiles: HashMap[String, Long],
   val currentJars: HashMap[String, Long],
-  val currentArchives: HashMap[String, Long])
+  val currentArchives: HashMap[String, Long],
+  val replClassDirUri: Option[String])
 
 /**
  * Spark executor, backed by a threadpool to run tasks.
@@ -173,14 +174,20 @@ private[spark] class Executor(
     val currentFiles = new HashMap[String, Long]
     val currentJars = new HashMap[String, Long]
     val currentArchives = new HashMap[String, Long]
-    val urlClassLoader = createClassLoader(currentJars)
+    val urlClassLoader = createClassLoader(currentJars, !isDefaultState(jobArtifactState.uuid))
     val replClassLoader = addReplClassLoaderIfNeeded(
-      urlClassLoader, jobArtifactState.replClassDirUri)
+      urlClassLoader, jobArtifactState.replClassDirUri, jobArtifactState.uuid)
     new IsolatedSessionState(
       jobArtifactState.uuid, urlClassLoader, replClassLoader,
-      currentFiles, currentJars, currentArchives)
+      currentFiles,
+      currentJars,
+      currentArchives,
+      jobArtifactState.replClassDirUri
+    )
   }
 
+  private def isDefaultState(name: String) = name == "default"
+
   // Classloader isolation
   // The default isolation group
   val defaultSessionState = newSessionState(JobArtifactState("default", None))
@@ -514,9 +521,8 @@ private[spark] class Executor(
 
       // Classloader isolation
       val isolatedSession = taskDescription.artifacts.state match {
-        case Some(jobArtifactState) => isolatedSessionCache.get(
-          jobArtifactState.uuid,
-          () => newSessionState(jobArtifactState))
+        case Some(jobArtifactState) =>
+          isolatedSessionCache.get(jobArtifactState.uuid, () => newSessionState(jobArtifactState))
         case _ => defaultSessionState
       }
 
@@ -548,6 +554,9 @@ private[spark] class Executor(
           taskDescription.artifacts.jars,
           taskDescription.artifacts.archives,
           isolatedSession)
+        // Always reset the thread class loader to ensure if any updates, all threads (not only
+        // the thread that updated the dependencies) can update to the new class loader.
+        Thread.currentThread.setContextClassLoader(isolatedSession.replClassLoader)
         task = ser.deserialize[Task[Any]](
           taskDescription.serializedTask, Thread.currentThread.getContextClassLoader)
         task.localProperties = taskDescription.properties
@@ -999,7 +1008,9 @@ private[spark] class Executor(
    * Create a ClassLoader for use in tasks, adding any JARs specified by the user or any classes
    * created by the interpreter to the search path
    */
-  private def createClassLoader(currentJars: HashMap[String, Long]): MutableURLClassLoader = {
+  private def createClassLoader(
+      currentJars: HashMap[String, Long],
+      useStub: Boolean): MutableURLClassLoader = {
     // Bootstrap the list of jars with the user class path.
     val now = System.currentTimeMillis()
     userClassPath.foreach { url =>
@@ -1011,8 +1022,23 @@ private[spark] class Executor(
     val urls = userClassPath.toArray ++ currentJars.keySet.map { uri =>
       new File(uri.split("/").last).toURI.toURL
     }
-    logInfo(s"Starting executor with user classpath (userClassPathFirst = $userClassPathFirst): " +
-        urls.mkString("'", ",", "'"))
+    createClassLoader(urls, useStub)
+  }
+
+  private def createClassLoader(urls: Array[URL], useStub: Boolean): MutableURLClassLoader = {
+    logInfo(
+      s"Starting executor with user classpath (userClassPathFirst = $userClassPathFirst): " +
+      urls.mkString("'", ",", "'")
+    )
+
+    if (useStub && conf.get(CONNECT_SCALA_UDF_STUB_CLASSES).nonEmpty) {
+      createClassLoaderWithStub(urls, conf.get(CONNECT_SCALA_UDF_STUB_CLASSES))
+    } else {
+      createClassLoader(urls)
+    }
+  }
+
+  private def createClassLoader(urls: Array[URL]): MutableURLClassLoader = {
     if (userClassPathFirst) {
       new ChildFirstURLClassLoader(urls, systemLoader)
     } else {
@@ -1020,20 +1046,39 @@ private[spark] class Executor(
     }
   }
 
+  private def createClassLoaderWithStub(
+      urls: Array[URL],
+      binaryName: Seq[String]): MutableURLClassLoader = {
+    if (userClassPathFirst) {
+      // user -> (sys -> stub)
+      val stubClassLoader =
+        StubClassLoader(systemLoader, binaryName)
+      new ChildFirstURLClassLoader(urls, stubClassLoader)
+    } else {
+      // sys -> user -> stub
+      val stubClassLoader =
+        StubClassLoader(null, binaryName)
+      new ChildFirstURLClassLoader(urls, stubClassLoader, systemLoader)
+    }
+  }
+
   /**
    * If the REPL is in use, add another ClassLoader that will read
    * new classes defined by the REPL as the user types code
    */
   private def addReplClassLoaderIfNeeded(
       parent: ClassLoader,
-      sessionClassUri: Option[String]): ClassLoader = {
+      sessionClassUri: Option[String],
+      sessionUUID: String): ClassLoader = {
     val classUri = sessionClassUri.getOrElse(conf.get("spark.repl.class.uri", null))
-    if (classUri != null) {
+    val classLoader = if (classUri != null) {
       logInfo("Using REPL class URI: " + classUri)
       new ExecutorClassLoader(conf, env, classUri, parent, userClassPathFirst)
     } else {
       parent
     }
+    logInfo(s"Created or updated repl class loader $classLoader for $sessionUUID.")
+    classLoader
   }
 
   /**
@@ -1048,6 +1093,7 @@ private[spark] class Executor(
       state: IsolatedSessionState,
       testStartLatch: Option[CountDownLatch] = None,
       testEndLatch: Option[CountDownLatch] = None): Unit = {
+    var updated = false;
     lazy val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf)
     updateDependenciesLock.lockInterruptibly()
     try {
@@ -1056,7 +1102,7 @@ private[spark] class Executor(
 
       // If the session ID was specified from SparkSession, it's from a Spark Connect client.
       // Specify a dedicated directory for Spark Connect client.
-      lazy val root = if (state.sessionUUID != "default") {
+      lazy val root = if (!isDefaultState(state.sessionUUID)) {
         val newDest = new File(SparkFiles.getRootDirectory(), state.sessionUUID)
         newDest.mkdir()
         newDest
@@ -1101,11 +1147,21 @@ private[spark] class Executor(
           // Add it to our class loader
           val url = new File(root, localName).toURI.toURL
           if (!state.urlClassLoader.getURLs().contains(url)) {
-            logInfo(s"Adding $url to class loader")
+            logInfo(s"Adding $url to class loader ${state.sessionUUID}")
             state.urlClassLoader.addURL(url)
+            if (!isDefaultState(state.sessionUUID)) {
+              updated = true
+            }
           }
         }
       }
+      if (updated) {
+        // When a new url is added for non-default class loader, recreate the class loader
+        // to ensure all classes are updated.
+        state.urlClassLoader = createClassLoader(state.urlClassLoader.getURLs, useStub = true)
+        state.replClassLoader =
+          addReplClassLoaderIfNeeded(state.urlClassLoader, state.replClassDirUri, state.sessionUUID)
+      }
       // For testing, so we can simulate a slow file download:
       testEndLatch.foreach(_.await())
     } finally {
diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index 533562af05a32..c05f9328f751d 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -2540,4 +2540,18 @@ package object config {
       .version("3.5.0")
       .booleanConf
       .createWithDefault(false)
+
+  private[spark] val CONNECT_SCALA_UDF_STUB_CLASSES =
+    ConfigBuilder("spark.connect.scalaUdf.stubClasses")
+      .internal()
+      .doc("""
+          |Comma-separated list of binary names of classes/packages that should be stubbed during
+          |the Scala UDF serde and execution if not found on the server classpath.
+          |An empty list effectively disables stubbing for all missing classes.
+          |By default, the server stubs classes from the Scala client package.
+          |""".stripMargin)
+      .version("3.5.0")
+      .stringConf
+      .toSequence
+      .createWithDefault("org.apache.spark.sql.connect.client" :: Nil)
 }
diff --git a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
new file mode 100644
index 0000000000000..a0bc753f48875
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.util
+
+import org.apache.xbean.asm9.{ClassWriter, Opcodes}
+
+/**
+ * [[ClassLoader]] that replaces missing classes with stubs, if the cannot be found. It will only
+ * do this for classes that are marked for stubbing.
+ *
+ * While this is generally not a good idea. In this particular case this is used to load lambda's
+ * whose capturing class contains unknown (and unneeded) classes. The lambda itself does not need
+ * the class and therefor is safe to replace by a stub.
+ */
+class StubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
+  extends ClassLoader(parent) {
+  override def findClass(name: String): Class[_] = {
+    if (!shouldStub(name)) {
+      throw new ClassNotFoundException(name)
+    }
+    val bytes = StubClassLoader.generateStub(name)
+    defineClass(name, bytes, 0, bytes.length)
+  }
+}
+
+object StubClassLoader {
+  def apply(parent: ClassLoader, binaryName: Seq[String]): StubClassLoader = {
+    new StubClassLoader(parent, name => binaryName.exists(p => name.startsWith(p)))
+  }
+
+  def generateStub(binaryName: String): Array[Byte] = {
+    // Convert binary names to internal names.
+    val name = binaryName.replace('.', '/')
+    val classWriter = new ClassWriter(0)
+    classWriter.visit(
+      49,
+      Opcodes.ACC_PUBLIC + Opcodes.ACC_SUPER,
+      name,
+      null,
+      "java/lang/Object",
+      null)
+    classWriter.visitSource(name + ".java", null)
+
+    // Generate constructor.
+    val ctorWriter = classWriter.visitMethod(
+      Opcodes.ACC_PUBLIC,
+      "<init>",
+      "()V",
+      null,
+      null)
+    ctorWriter.visitVarInsn(Opcodes.ALOAD, 0)
+    ctorWriter.visitMethodInsn(
+      Opcodes.INVOKESPECIAL,
+      "java/lang/Object",
+      "<init>",
+      "()V",
+      false)
+
+    ctorWriter.visitInsn(Opcodes.RETURN)
+    ctorWriter.visitMaxs(1, 1)
+    ctorWriter.visitEnd()
+    classWriter.visitEnd()
+    classWriter.toByteArray
+  }
+}

From 3a5102c8f8fa966d09672dee53dff9e1371a565e Mon Sep 17 00:00:00 2001
From: Jason Li <jason.li@databricks.com>
Date: Sat, 29 Jul 2023 13:41:14 -0700
Subject: [PATCH 093/986] [SPARK-44394][CONNECT][WEBUI] Add a Spark UI page for
 Spark Connect

## What changes were proposed in this pull request?

Add a new Spark UI page to display session and execution information for Spark Connect. This builds of the work in SPARK-43923 (https://github.com/apache/spark/pull/41443) that adds the relevant SparkListenerEvents and mirrors the ThriftServerPage in the Spark UI for JDBC/ODBC.

<img width="1709" alt="Screenshot 2023-07-27 at 11 29 22 PM" src="https://github.com/apache/spark/assets/65624911/934b7c69-3b44-460b-8fbb-36a9eb3f0798">

<img width="1716" alt="Screenshot 2023-07-27 at 11 29 15 PM" src="https://github.com/apache/spark/assets/65624911/33dbe6ab-44bf-49a5-ad4c-5ba4a476a1f0">

### Why are the changes needed?
This gives users a way to access session and execution information for Spark Connect via the UI and provides the frontend interface for the related SparkListenerEvents.

### Does this PR introduce _any_ user-facing change? Yes, it will add a new tab/page in the Spark UI

### How was this patch tested?
Unit tests

Closes #41964 from jasonli-db/spark-connect-ui.

Authored-by: Jason Li <jason.lidatabricks.com>
Signed-off-by: Gengliang Wang <gengliangapache.org>
(cherry picked from commit f8786f01ad605c4549b60ba9998e35cca433665a)

Closes #42224 from juliuszsompolski/SPARK-44394-3.5.

Authored-by: Jason Li <jason.li@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/connect/common/ProtoUtils.scala |   2 +-
 .../sql/connect/SparkConnectPlugin.scala      |   2 +-
 .../spark/sql/connect/config/Connect.scala    |  13 +
 .../execution/ExecuteThreadRunner.scala       |  15 +-
 .../sql/connect/service/ExecuteHolder.scala   |  39 +-
 .../connect/service/SparkConnectServer.scala  |   3 +-
 .../connect/service/SparkConnectService.scala |  26 +-
 .../ui/SparkConnectServerAppStatusStore.scala | 131 +++++
 ...parkConnectServerHistoryServerPlugin.scala |  41 ++
 .../ui/SparkConnectServerListener.scala       | 377 ++++++++++++
 .../connect/ui/SparkConnectServerPage.scala   | 541 ++++++++++++++++++
 .../ui/SparkConnectServerSessionPage.scala    | 128 +++++
 .../connect/ui/SparkConnectServerTab.scala    |  57 ++
 .../spark/sql/connect/ui/ToolTips.scala       |  39 ++
 .../ui/SparkConnectServerListenerSuite.scala  | 234 ++++++++
 .../ui/SparkConnectServerPageSuite.scala      | 135 +++++
 .../scala/org/apache/spark/SparkContext.scala |   2 +-
 .../scala/org/apache/spark/ui/SparkUI.scala   |  18 +-
 .../scala/org/apache/spark/ui/UISuite.scala   |   2 +-
 .../StreamingQueryHistoryServerPlugin.scala   |   2 +-
 20 files changed, 1789 insertions(+), 18 deletions(-)
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerAppStatusStore.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerHistoryServerPlugin.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPage.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerSessionPage.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/ToolTips.scala
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
index e2934b5674495..99684eef7d7dd 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
@@ -93,7 +93,7 @@ private[connect] object ProtoUtils {
   def throwIfInvalidTag(tag: String): Unit = {
     // Same format rules apply to Spark Connect execution tags as to SparkContext job tags,
     // because the Spark Connect job tag is also used as part of SparkContext job tag.
-    // See SparkContext.throwIfInvalidTag and ExecuteHolder.tagToSparkJobTag
+    // See SparkContext.throwIfInvalidTag and ExecuteHolderSessionTag
     if (tag == null) {
       throw new IllegalArgumentException("Spark Connect tag cannot be null.")
     }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/SparkConnectPlugin.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/SparkConnectPlugin.scala
index bb694a7679890..ca8617cbe1a74 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/SparkConnectPlugin.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/SparkConnectPlugin.scala
@@ -45,7 +45,7 @@ class SparkConnectPlugin extends SparkPlugin {
     override def init(
         sc: SparkContext,
         pluginContext: PluginContext): util.Map[String, String] = {
-      SparkConnectService.start()
+      SparkConnectService.start(sc)
       Map.empty[String, String].asJava
     }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 13e4b9f536422..2a805c4539259 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -115,4 +115,17 @@ object Connect {
       .version("3.5.0")
       .booleanConf
       .createWithDefault(false)
+
+  val CONNECT_UI_STATEMENT_LIMIT =
+    ConfigBuilder("spark.sql.connect.ui.retainedStatements")
+      .doc("The number of statements kept in the Spark Connect UI history.")
+      .version("3.5.0")
+      .intConf
+      .createWithDefault(200)
+
+  val CONNECT_UI_SESSION_LIMIT = ConfigBuilder("spark.sql.connect.ui.retainedSessions")
+    .doc("The number of client sessions kept in the Spark Connect UI history.")
+    .version("3.5.0")
+    .intConf
+    .createWithDefault(200)
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index 6758df0d7e6d7..dad84180a0ff2 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -27,7 +27,7 @@ import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.planner.SparkConnectPlanner
-import org.apache.spark.sql.connect.service.ExecuteHolder
+import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteSessionTag}
 import org.apache.spark.sql.connect.utils.ErrorUtils
 import org.apache.spark.util.Utils
 
@@ -95,8 +95,11 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
       } finally {
         executeHolder.sessionHolder.session.sparkContext.removeJobTag(executeHolder.jobTag)
         executeHolder.sparkSessionTags.foreach { tag =>
-          executeHolder.sessionHolder.session.sparkContext
-            .removeJobTag(executeHolder.tagToSparkJobTag(tag))
+          executeHolder.sessionHolder.session.sparkContext.removeJobTag(
+            ExecuteSessionTag(
+              executeHolder.sessionHolder.userId,
+              executeHolder.sessionHolder.sessionId,
+              tag))
         }
       }
     } catch {
@@ -128,7 +131,11 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
       session.sparkContext.addJobTag(executeHolder.jobTag)
       // Also set all user defined tags as Spark Job tags.
       executeHolder.sparkSessionTags.foreach { tag =>
-        session.sparkContext.addJobTag(executeHolder.tagToSparkJobTag(tag))
+        session.sparkContext.addJobTag(
+          ExecuteSessionTag(
+            executeHolder.sessionHolder.userId,
+            executeHolder.sessionHolder.sessionId,
+            tag))
       }
       session.sparkContext.setJobDescription(
         s"Spark Connect - ${StringUtils.abbreviate(debugString, 128)}")
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 36c96b2617fb7..7ad68d06f9622 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -38,11 +38,7 @@ private[connect] class ExecuteHolder(
    * Tag that is set for this execution on SparkContext, via SparkContext.addJobTag. Used
    * (internally) for cancallation of the Spark Jobs ran by this execution.
    */
-  val jobTag =
-    s"SparkConnect_Execute_" +
-      s"User_${sessionHolder.userId}_" +
-      s"Session_${sessionHolder.sessionId}_" +
-      s"Operation_${operationId}"
+  val jobTag = ExecuteJobTag(sessionHolder.userId, sessionHolder.sessionId, operationId)
 
   /**
    * Tags set by Spark Connect client users via SparkSession.addTag. Used to identify and group
@@ -122,3 +118,36 @@ private[connect] class ExecuteHolder(
       s"User_${sessionHolder.userId}_Session_${sessionHolder.sessionId}_Tag_${tag}"
   }
 }
+
+/** Used to identify ExecuteHolder jobTag among SparkContext.SPARK_JOB_TAGS. */
+object ExecuteJobTag {
+  private val prefix = "SparkConnect_OperationTag"
+
+  def apply(sessionId: String, userId: String, operationId: String): String = {
+    s"${prefix}_" +
+      s"User_${userId}_" +
+      s"Session_${sessionId}_" +
+      s"Operation_${operationId}"
+  }
+
+  def unapply(jobTag: String): Option[String] = {
+    if (jobTag.startsWith(prefix)) Some(jobTag) else None
+  }
+}
+
+/** Used to identify ExecuteHolder sessionTag among SparkContext.SPARK_JOB_TAGS. */
+object ExecuteSessionTag {
+  private val prefix = "SparkConnect_SessionTag"
+
+  def apply(userId: String, sessionId: String, tag: String): String = {
+    ProtoUtils.throwIfInvalidTag(tag)
+    s"${prefix}_" +
+      s"User_${userId}_" +
+      s"Session_${sessionId}_" +
+      s"Tag_${tag}"
+  }
+
+  def unapply(sessionTag: String): Option[String] = {
+    if (sessionTag.startsWith(prefix)) Some(sessionTag) else None
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectServer.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectServer.scala
index 1ed8ee2ff86a7..26c1062bf3437 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectServer.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectServer.scala
@@ -34,7 +34,7 @@ object SparkConnectServer extends Logging {
     val session = SparkSession.builder.getOrCreate()
     try {
       try {
-        SparkConnectService.start()
+        SparkConnectService.start(session.sparkContext)
         SparkConnectService.server.getListenSockets.foreach { sa =>
           val isa = sa.asInstanceOf[InetSocketAddress]
           logInfo(
@@ -49,6 +49,7 @@ object SparkConnectServer extends Logging {
       SparkConnectService.server.awaitTermination()
     } finally {
       session.stop()
+      SparkConnectService.uiTab.foreach(_.detach())
     }
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index c8fbfca6f705b..121d2accf6b10 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -28,13 +28,16 @@ import io.grpc.protobuf.services.ProtoReflectionService
 import io.grpc.stub.StreamObserver
 import org.apache.commons.lang3.StringUtils
 
-import org.apache.spark.{SparkEnv, SparkSQLException}
+import org.apache.spark.{SparkContext, SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.{AddArtifactsRequest, AddArtifactsResponse}
 import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.UI.UI_ENABLED
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.config.Connect.{CONNECT_GRPC_BINDING_PORT, CONNECT_GRPC_MAX_INBOUND_MESSAGE_SIZE}
+import org.apache.spark.sql.connect.ui.{SparkConnectServerAppStatusStore, SparkConnectServerListener, SparkConnectServerTab}
 import org.apache.spark.sql.connect.utils.ErrorUtils
+import org.apache.spark.status.ElementTrackingStore
 
 /**
  * The SparkConnectService implementation.
@@ -180,6 +183,9 @@ object SparkConnectService {
 
   private[connect] var server: Server = _
 
+  private[connect] var uiTab: Option[SparkConnectServerTab] = None
+  private[connect] var listener: SparkConnectServerListener = _
+
   // For testing purpose, it's package level private.
   private[connect] def localPort: Int = {
     assert(server != null)
@@ -250,6 +256,20 @@ object SparkConnectService {
     SparkSession.active.newSession()
   }
 
+  private def createListenerAndUI(sc: SparkContext): Unit = {
+    val kvStore = sc.statusStore.store.asInstanceOf[ElementTrackingStore]
+    listener = new SparkConnectServerListener(kvStore, sc.conf)
+    sc.listenerBus.addToStatusQueue(listener)
+    uiTab = if (sc.getConf.get(UI_ENABLED)) {
+      Some(
+        new SparkConnectServerTab(
+          new SparkConnectServerAppStatusStore(kvStore),
+          SparkConnectServerTab.getSparkUI(sc)))
+    } else {
+      None
+    }
+  }
+
   /**
    * Starts the GRPC Serivce.
    */
@@ -274,8 +294,9 @@ object SparkConnectService {
   }
 
   // Starts the service
-  def start(): Unit = {
+  def start(sc: SparkContext): Unit = {
     startGRPCService()
+    createListenerAndUI(sc)
   }
 
   def stop(timeout: Option[Long] = None, unit: Option[TimeUnit] = None): Unit = {
@@ -288,6 +309,7 @@ object SparkConnectService {
       }
     }
     userSessionMapping.invalidateAll()
+    uiTab.foreach(_.detach())
   }
 
   def extractErrorMessage(st: Throwable): String = {
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerAppStatusStore.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerAppStatusStore.scala
new file mode 100644
index 0000000000000..28812e49d1fab
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerAppStatusStore.scala
@@ -0,0 +1,131 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import scala.collection.mutable
+import scala.collection.mutable.ArrayBuffer
+
+import com.fasterxml.jackson.annotation.JsonIgnore
+
+import org.apache.spark.status.KVUtils
+import org.apache.spark.status.KVUtils.KVIndexParam
+import org.apache.spark.util.kvstore.{KVIndex, KVStore}
+
+class SparkConnectServerAppStatusStore(store: KVStore) {
+  def getSessionList: Seq[SessionInfo] = {
+    KVUtils.viewToSeq(store.view(classOf[SessionInfo]))
+  }
+
+  def getExecutionList: Seq[ExecutionInfo] = {
+    KVUtils.viewToSeq(store.view(classOf[ExecutionInfo]))
+  }
+
+  def getOnlineSessionNum: Int = {
+    KVUtils.count(store.view(classOf[SessionInfo]))(_.finishTimestamp == 0)
+  }
+
+  def getSession(sessionId: String): Option[SessionInfo] = {
+    try {
+      Some(store.read(classOf[SessionInfo], sessionId))
+    } catch {
+      case _: NoSuchElementException => None
+    }
+  }
+
+  def getExecution(executionId: String): Option[ExecutionInfo] = {
+    try {
+      Some(store.read(classOf[ExecutionInfo], executionId))
+    } catch {
+      case _: NoSuchElementException => None
+    }
+  }
+
+  /**
+   * When an error or a cancellation occurs, we set the finishTimestamp of the statement.
+   * Therefore, when we count the number of running statements, we need to exclude errors and
+   * cancellations and count all statements that have not been closed so far.
+   */
+  def getTotalRunning: Int = {
+    KVUtils.count(store.view(classOf[ExecutionInfo]))(_.isExecutionActive)
+  }
+
+  def getSessionCount: Long = {
+    store.count(classOf[SessionInfo])
+  }
+
+  def getExecutionCount: Long = {
+    store.count(classOf[ExecutionInfo])
+  }
+}
+
+private[connect] class SessionInfo(
+    @KVIndexParam val sessionId: String,
+    val startTimestamp: Long,
+    val userId: String,
+    val finishTimestamp: Long,
+    val totalExecution: Long) {
+  @JsonIgnore @KVIndex("finishTime")
+  private def finishTimeIndex: Long = if (finishTimestamp > 0L) finishTimestamp else -1L
+  def totalTime: Long = {
+    if (finishTimestamp == 0L) {
+      System.currentTimeMillis - startTimestamp
+    } else {
+      finishTimestamp - startTimestamp
+    }
+  }
+}
+
+private[connect] class ExecutionInfo(
+    @KVIndexParam val jobTag: String,
+    val statement: String,
+    val sessionId: String,
+    val startTimestamp: Long,
+    val userId: String,
+    val operationId: String,
+    val sparkSessionTags: Set[String],
+    val finishTimestamp: Long,
+    val closeTimestamp: Long,
+    val detail: String,
+    val state: ExecutionState.Value,
+    val jobId: ArrayBuffer[String],
+    val sqlExecId: mutable.Set[String]) {
+  @JsonIgnore @KVIndex("finishTime")
+  private def finishTimeIndex: Long = if (finishTimestamp > 0L && !isExecutionActive) {
+    finishTimestamp
+  } else -1L
+
+  @JsonIgnore @KVIndex("isExecutionActive")
+  def isExecutionActive: Boolean = {
+    state == ExecutionState.STARTED ||
+    state == ExecutionState.COMPILED ||
+    state == ExecutionState.READY
+  }
+
+  def totalTime(endTime: Long): Long = {
+    if (endTime == 0L) {
+      System.currentTimeMillis - startTimestamp
+    } else {
+      endTime - startTimestamp
+    }
+  }
+}
+
+private[connect] object ExecutionState extends Enumeration {
+  val STARTED, COMPILED, READY, CANCELED, FAILED, FINISHED, CLOSED = Value
+  type ExecutionState = Value
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerHistoryServerPlugin.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerHistoryServerPlugin.scala
new file mode 100644
index 0000000000000..ba289e30a65b3
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerHistoryServerPlugin.scala
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import org.apache.spark.SparkConf
+import org.apache.spark.scheduler.SparkListener
+import org.apache.spark.status.{AppHistoryServerPlugin, ElementTrackingStore}
+import org.apache.spark.ui.SparkUI
+
+class SparkConnectServerHistoryServerPlugin extends AppHistoryServerPlugin {
+
+  override def createListeners(
+      conf: SparkConf,
+      store: ElementTrackingStore): Seq[SparkListener] = {
+    Seq(new SparkConnectServerListener(store, conf))
+  }
+
+  override def setupUI(ui: SparkUI): Unit = {
+    val store = new SparkConnectServerAppStatusStore(ui.store.store)
+    if (store.getSessionCount > 0) {
+      new SparkConnectServerTab(store, ui)
+    }
+  }
+
+  override def displayOrder: Int = 3
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
new file mode 100644
index 0000000000000..b40e847f4049f
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
@@ -0,0 +1,377 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import scala.collection.mutable
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.spark.{SparkConf, SparkContext, SparkEnv}
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.Status.LIVE_ENTITY_UPDATE_PERIOD
+import org.apache.spark.scheduler._
+import org.apache.spark.sql.connect.config.Connect.{CONNECT_UI_SESSION_LIMIT, CONNECT_UI_STATEMENT_LIMIT}
+import org.apache.spark.sql.connect.service._
+import org.apache.spark.sql.execution.SQLExecution
+import org.apache.spark.status.{ElementTrackingStore, KVUtils, LiveEntity}
+
+private[connect] class SparkConnectServerListener(
+    kvstore: ElementTrackingStore,
+    sparkConf: SparkConf,
+    live: Boolean = true)
+    extends SparkListener
+    with Logging {
+
+  private val sessionList = new mutable.LinkedHashMap[String, LiveSessionData]
+  private val executionList = new mutable.LinkedHashMap[String, LiveExecutionData]
+
+  private val (retainedStatements: Int, retainedSessions: Int) = {
+    (
+      SparkEnv.get.conf.get(CONNECT_UI_STATEMENT_LIMIT),
+      SparkEnv.get.conf.get(CONNECT_UI_SESSION_LIMIT))
+  }
+
+  // How often to update live entities. -1 means "never update" when replaying applications,
+  // meaning only the last write will happen. For live applications, this avoids a few
+  // operations that we can live without when rapidly processing incoming events.
+  private val liveUpdatePeriodNs = if (live) sparkConf.get(LIVE_ENTITY_UPDATE_PERIOD) else -1L
+
+  // Returns true if this listener has no live data. Exposed for tests only.
+  private[connect] def noLiveData(): Boolean = synchronized {
+    sessionList.isEmpty && executionList.isEmpty
+  }
+
+  kvstore.addTrigger(classOf[SessionInfo], retainedSessions) { count =>
+    cleanupSession(count)
+  }
+
+  kvstore.addTrigger(classOf[ExecutionInfo], retainedStatements) { count =>
+    cleanupExecutions(count)
+  }
+
+  override def onJobStart(jobStart: SparkListenerJobStart): Unit = {
+    val jobTags = Option(jobStart.properties)
+      .flatMap { p => Option(p.getProperty(SparkContext.SPARK_JOB_TAGS)) }
+      .map(_.split(SparkContext.SPARK_JOB_TAGS_SEP).toSet)
+      .getOrElse(Set())
+      .toSeq
+      .filter(!_.isEmpty)
+      .sorted
+    val executeJobTagOpt = jobTags.find {
+      case ExecuteJobTag(_) => true
+      case _ => false
+    }
+    if (executeJobTagOpt.isEmpty) {
+      return
+    }
+    val executeJobTag = executeJobTagOpt.get
+    val exec = executionList.get(executeJobTag)
+    val executionIdOpt: Option[String] = Option(jobStart.properties)
+      .flatMap { p => Option(p.getProperty(SQLExecution.EXECUTION_ID_KEY)) }
+    if (exec.nonEmpty) {
+      exec.foreach { exec =>
+        exec.jobId += jobStart.jobId.toString
+        executionIdOpt.foreach { execId => exec.sqlExecId += execId }
+        updateLiveStore(exec)
+      }
+    } else {
+      // It may possible that event reordering happens, such a way that JobStart event come after
+      // Execution end event (Refer SPARK-27019). To handle that situation, if occurs in
+      // Spark Connect Server, following code will take care. Here will come only if JobStart
+      // event comes after Execution End event.
+      val storeExecInfo =
+        KVUtils.viewToSeq(kvstore.view(classOf[ExecutionInfo]), Int.MaxValue)(exec =>
+          exec.jobTag == executeJobTag)
+      storeExecInfo.foreach { exec =>
+        val liveExec = getOrCreateExecution(
+          exec.jobTag,
+          exec.statement,
+          exec.sessionId,
+          exec.startTimestamp,
+          exec.userId,
+          exec.operationId,
+          exec.sparkSessionTags)
+        liveExec.jobId += jobStart.jobId.toString
+        executionIdOpt.foreach { execId => exec.sqlExecId += execId }
+        updateStoreWithTriggerEnabled(liveExec)
+        executionList.remove(liveExec.jobTag)
+      }
+    }
+  }
+
+  override def onOtherEvent(event: SparkListenerEvent): Unit = {
+    event match {
+      case e: SparkListenerConnectOperationStarted => onOperationStarted(e)
+      case e: SparkListenerConnectOperationAnalyzed => onOperationAnalyzed(e)
+      case e: SparkListenerConnectOperationReadyForExecution => onOperationReadyForExecution(e)
+      case e: SparkListenerConnectOperationCanceled => onOperationCanceled(e)
+      case e: SparkListenerConnectOperationFailed => onOperationFailed(e)
+      case e: SparkListenerConnectOperationFinished => onOperationFinished(e)
+      case e: SparkListenerConnectOperationClosed => onOperationClosed(e)
+      case e: SparkListenerConnectSessionStarted => onSessionStarted(e)
+      case e: SparkListenerConnectSessionClosed => onSessionClosed(e)
+      case _ => // Ignore
+    }
+  }
+
+  private def onOperationStarted(e: SparkListenerConnectOperationStarted) = synchronized {
+    val executionData = getOrCreateExecution(
+      e.jobTag,
+      e.statementText,
+      e.sessionId,
+      e.eventTime,
+      e.userId,
+      e.operationId,
+      e.sparkSessionTags)
+    executionData.state = ExecutionState.STARTED
+    executionList.put(e.jobTag, executionData)
+    updateLiveStore(executionData)
+    sessionList.get(e.sessionId) match {
+      case Some(sessionData) =>
+        sessionData.totalExecution += 1
+        updateLiveStore(sessionData)
+      case None =>
+        logWarning(
+          s"onOperationStart called with unknown session id: ${e.sessionId}." +
+            s"Regardless, the operation has been registered.")
+    }
+  }
+
+  private def onOperationAnalyzed(e: SparkListenerConnectOperationAnalyzed) = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.state = ExecutionState.COMPILED
+        updateLiveStore(executionData)
+      case None =>
+        logWarning(s"onOperationAnalyzed called with unknown operation id: ${e.jobTag}")
+    }
+  }
+
+  private def onOperationReadyForExecution(
+      e: SparkListenerConnectOperationReadyForExecution): Unit = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.state = ExecutionState.READY
+        updateLiveStore(executionData)
+      case None =>
+        logWarning(s"onOperationReadyForExectuion called with unknown operation id: ${e.jobTag}")
+    }
+  }
+
+  private def onOperationCanceled(e: SparkListenerConnectOperationCanceled) = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.finishTimestamp = e.eventTime
+        executionData.state = ExecutionState.CANCELED
+        updateLiveStore(executionData)
+      case None =>
+        logWarning(s"onOperationCanceled called with unknown operation id: ${e.jobTag}")
+    }
+  }
+  private def onOperationFailed(e: SparkListenerConnectOperationFailed) = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.finishTimestamp = e.eventTime
+        executionData.detail = e.errorMessage
+        executionData.state = ExecutionState.FAILED
+        updateLiveStore(executionData)
+      case None =>
+        logWarning(s"onOperationFailed called with unknown operation id: ${e.jobTag}")
+    }
+  }
+  private def onOperationFinished(e: SparkListenerConnectOperationFinished) = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.finishTimestamp = e.eventTime
+        executionData.state = ExecutionState.FINISHED
+        updateLiveStore(executionData)
+      case None =>
+        logWarning(s"onOperationFinished called with unknown operation id: ${e.jobTag}")
+    }
+  }
+  private def onOperationClosed(e: SparkListenerConnectOperationClosed) = synchronized {
+    executionList.get(e.jobTag) match {
+      case Some(executionData) =>
+        executionData.closeTimestamp = e.eventTime
+        executionData.state = ExecutionState.CLOSED
+        updateStoreWithTriggerEnabled(executionData)
+        executionList.remove(e.jobTag)
+      case None =>
+        logWarning(s"onOperationClosed called with unknown operation id: ${e.jobTag}")
+    }
+  }
+
+  private def onSessionStarted(e: SparkListenerConnectSessionStarted) = synchronized {
+    val session = getOrCreateSession(e.sessionId, e.userId, e.eventTime)
+    sessionList.put(e.sessionId, session)
+    updateLiveStore(session)
+  }
+
+  private def onSessionClosed(e: SparkListenerConnectSessionClosed) = synchronized {
+    sessionList.get(e.sessionId) match {
+      case Some(sessionData) =>
+        sessionData.finishTimestamp = e.eventTime
+        updateStoreWithTriggerEnabled(sessionData)
+        sessionList.remove(e.sessionId)
+
+      case None => logWarning(s"onSessionClosed called with unknown session id: ${e.sessionId}")
+    }
+  }
+
+  // Update both live and history stores. Trigger is enabled by default, hence
+  // it will cleanup the entity which exceeds the threshold.
+  def updateStoreWithTriggerEnabled(entity: LiveEntity): Unit = synchronized {
+    entity.write(kvstore, System.nanoTime(), checkTriggers = true)
+  }
+
+  // Update only live stores. If trigger is enabled, it will cleanup entity
+  // which exceeds the threshold.
+  def updateLiveStore(entity: LiveEntity, trigger: Boolean = false): Unit = synchronized {
+    val now = System.nanoTime()
+    if (live && liveUpdatePeriodNs >= 0 && now - entity.lastWriteTime > liveUpdatePeriodNs) {
+      entity.write(kvstore, now, checkTriggers = trigger)
+    }
+  }
+
+  private def getOrCreateSession(
+      sessionId: String,
+      userName: String,
+      startTime: Long): LiveSessionData = synchronized {
+    sessionList.getOrElseUpdate(sessionId, new LiveSessionData(sessionId, startTime, userName))
+  }
+
+  private def getOrCreateExecution(
+      jobTag: String,
+      statement: String,
+      sessionId: String,
+      startTimestamp: Long,
+      userId: String,
+      operationId: String,
+      sparkSessionTags: Set[String]): LiveExecutionData = synchronized {
+    executionList.getOrElseUpdate(
+      jobTag,
+      new LiveExecutionData(
+        jobTag,
+        statement,
+        sessionId,
+        startTimestamp,
+        userId,
+        operationId,
+        sparkSessionTags))
+  }
+
+  private def cleanupExecutions(count: Long): Unit = {
+    val countToDelete = calculateNumberToRemove(count, retainedStatements)
+    if (countToDelete <= 0L) {
+      return
+    }
+    val view = kvstore.view(classOf[ExecutionInfo]).index("finishTime").first(0L)
+    val toDelete = KVUtils.viewToSeq(view, countToDelete.toInt) { j =>
+      j.finishTimestamp != 0
+    }
+    toDelete.foreach { j => kvstore.delete(j.getClass, j.jobTag) }
+  }
+
+  private def cleanupSession(count: Long): Unit = {
+    val countToDelete = calculateNumberToRemove(count, retainedSessions)
+    if (countToDelete <= 0L) {
+      return
+    }
+    val view = kvstore.view(classOf[SessionInfo]).index("finishTime").first(0L)
+    val toDelete = KVUtils.viewToSeq(view, countToDelete.toInt) { j =>
+      j.finishTimestamp != 0L
+    }
+
+    toDelete.foreach { j => kvstore.delete(j.getClass, j.sessionId) }
+  }
+
+  /**
+   * Remove at least (retainedSize / 10) items to reduce friction. Because tracking may be done
+   * asynchronously, this method may return 0 in case enough items have been deleted already.
+   */
+  private def calculateNumberToRemove(dataSize: Long, retainedSize: Long): Long = {
+    if (dataSize > retainedSize) {
+      math.max(retainedSize / 10L, dataSize - retainedSize)
+    } else {
+      0L
+    }
+  }
+}
+
+private[connect] class LiveExecutionData(
+    val jobTag: String,
+    val statement: String,
+    val sessionId: String,
+    val startTimestamp: Long,
+    val userId: String,
+    val operationId: String,
+    val sparkSessionTags: Set[String])
+    extends LiveEntity {
+
+  var finishTimestamp: Long = 0L
+  var closeTimestamp: Long = 0L
+  var detail: String = ""
+  var state: ExecutionState.Value = ExecutionState.STARTED
+  val jobId: ArrayBuffer[String] = ArrayBuffer[String]()
+  var sqlExecId: mutable.Set[String] = mutable.Set[String]()
+
+  override protected def doUpdate(): Any = {
+    new ExecutionInfo(
+      jobTag,
+      statement,
+      sessionId,
+      startTimestamp,
+      userId,
+      operationId,
+      sparkSessionTags,
+      finishTimestamp,
+      closeTimestamp,
+      detail,
+      state,
+      jobId,
+      sqlExecId)
+  }
+
+  def totalTime(endTime: Long): Long = {
+    if (endTime == 0L) {
+      System.currentTimeMillis - startTimestamp
+    } else {
+      endTime - startTimestamp
+    }
+  }
+}
+
+private[connect] class LiveSessionData(
+    val sessionId: String,
+    val startTimestamp: Long,
+    val userName: String)
+    extends LiveEntity {
+
+  var finishTimestamp: Long = 0L
+  var totalExecution: Int = 0
+
+  override protected def doUpdate(): Any = {
+    new SessionInfo(sessionId, startTimestamp, userName, finishTimestamp, totalExecution)
+  }
+  def totalTime: Long = {
+    if (finishTimestamp == 0L) {
+      System.currentTimeMillis - startTimestamp
+    } else {
+      finishTimestamp - startTimestamp
+    }
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPage.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPage.scala
new file mode 100644
index 0000000000000..57535cc06a26d
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPage.scala
@@ -0,0 +1,541 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import java.net.URLEncoder
+import java.nio.charset.StandardCharsets.UTF_8
+import javax.servlet.http.HttpServletRequest
+
+import scala.xml.Node
+
+import org.apache.commons.text.StringEscapeUtils
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.ui.ToolTips._
+import org.apache.spark.ui._
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.util.Utils
+
+/** Page for Spark UI that shows statistics for a Spark Connect Server. */
+private[ui] class SparkConnectServerPage(parent: SparkConnectServerTab)
+    extends WebUIPage("")
+    with Logging {
+
+  private val store = parent.store
+  private val startTime = parent.startTime
+
+  /** Render the page */
+  def render(request: HttpServletRequest): Seq[Node] = {
+    val content = store.synchronized { // make sure all parts in this page are consistent
+      generateBasicStats() ++
+        <br/> ++
+        <h4>
+          {store.getOnlineSessionNum}
+          session(s) are online,
+          running
+          {store.getTotalRunning}
+          Request(s)
+        </h4> ++
+        generateSessionStatsTable(request) ++
+        generateSQLStatsTable(request)
+    }
+    UIUtils.headerSparkPage(request, "Spark Connect", content, parent)
+  }
+
+  /** Generate basic stats of the Spark Connect server */
+  private def generateBasicStats(): Seq[Node] = {
+    val timeSinceStart = System.currentTimeMillis() - startTime.getTime
+    <ul class ="list-unstyled">
+      <li>
+        <strong>Started at: </strong> {formatDate(startTime)}
+      </li>
+      <li>
+        <strong>Time since start: </strong>{formatDurationVerbose(timeSinceStart)}
+      </li>
+    </ul>
+  }
+
+  /** Generate stats of batch statements of the Spark Connect program */
+  private def generateSQLStatsTable(request: HttpServletRequest): Seq[Node] = {
+
+    val numStatement = store.getExecutionList.size
+
+    val table = if (numStatement > 0) {
+
+      val sqlTableTag = "sqlstat"
+
+      val sqlTablePage =
+        Option(request.getParameter(s"$sqlTableTag.page")).map(_.toInt).getOrElse(1)
+
+      try {
+        Some(
+          new SqlStatsPagedTable(
+            request,
+            parent,
+            store.getExecutionList,
+            "connect",
+            UIUtils.prependBaseUri(request, parent.basePath),
+            sqlTableTag,
+            showSessionLink = true).table(sqlTablePage))
+      } catch {
+        case e @ (_: IllegalArgumentException | _: IndexOutOfBoundsException) =>
+          Some(<div class="alert alert-error">
+            <p>Error while rendering job table:</p>
+            <pre>
+              {Utils.exceptionString(e)}
+            </pre>
+          </div>)
+      }
+    } else {
+      None
+    }
+    val content =
+      <span id="sqlstat" class="collapse-aggregated-sqlstat collapse-table"
+            onClick="collapseTable('collapse-aggregated-sqlstat',
+                'aggregated-sqlstat')">
+        <h4>
+          <span class="collapse-table-arrow arrow-open"></span>
+          <a>Request Statistics ({numStatement})</a>
+        </h4>
+      </span> ++
+        <div class="aggregated-sqlstat collapsible-table">
+          {table.getOrElse("No statistics have been generated yet.")}
+        </div>
+    content
+  }
+
+  /** Generate stats of batch sessions of the Spark Connect server */
+  private def generateSessionStatsTable(request: HttpServletRequest): Seq[Node] = {
+    val numSessions = store.getSessionList.size
+    val table = if (numSessions > 0) {
+
+      val sessionTableTag = "sessionstat"
+
+      val sessionTablePage =
+        Option(request.getParameter(s"$sessionTableTag.page")).map(_.toInt).getOrElse(1)
+
+      try {
+        Some(
+          new SessionStatsPagedTable(
+            request,
+            parent,
+            store.getSessionList,
+            "connect",
+            UIUtils.prependBaseUri(request, parent.basePath),
+            sessionTableTag).table(sessionTablePage))
+      } catch {
+        case e @ (_: IllegalArgumentException | _: IndexOutOfBoundsException) =>
+          Some(<div class="alert alert-error">
+            <p>Error while rendering job table:</p>
+            <pre>
+              {Utils.exceptionString(e)}
+            </pre>
+          </div>)
+      }
+    } else {
+      None
+    }
+
+    val content =
+      <span id="sessionstat" class="collapse-aggregated-sessionstat collapse-table"
+            onClick="collapseTable('collapse-aggregated-sessionstat',
+                'aggregated-sessionstat')">
+        <h4>
+          <span class="collapse-table-arrow arrow-open"></span>
+          <a>Session Statistics ({numSessions})</a>
+        </h4>
+      </span> ++
+        <div class="aggregated-sessionstat collapsible-table">
+          {table.getOrElse("No statistics have been generated yet.")}
+        </div>
+
+    content
+  }
+}
+
+private[ui] class SqlStatsPagedTable(
+    request: HttpServletRequest,
+    parent: SparkConnectServerTab,
+    data: Seq[ExecutionInfo],
+    subPath: String,
+    basePath: String,
+    sqlStatsTableTag: String,
+    showSessionLink: Boolean)
+    extends PagedTable[SqlStatsTableRow] {
+
+  private val (sortColumn, desc, pageSize) =
+    getTableParameters(request, sqlStatsTableTag, "Start Time")
+
+  private val encodedSortColumn = URLEncoder.encode(sortColumn, UTF_8.name())
+
+  private val parameterPath =
+    s"$basePath/$subPath/?${getParameterOtherTable(request, sqlStatsTableTag)}"
+
+  override val dataSource = new SqlStatsTableDataSource(data, pageSize, sortColumn, desc)
+
+  override def tableId: String = sqlStatsTableTag
+
+  override def tableCssClass: String =
+    "table table-bordered table-sm table-striped table-head-clickable table-cell-width-limited"
+
+  override def pageLink(page: Int): String = {
+    parameterPath +
+      s"&$pageNumberFormField=$page" +
+      s"&$sqlStatsTableTag.sort=$encodedSortColumn" +
+      s"&$sqlStatsTableTag.desc=$desc" +
+      s"&$pageSizeFormField=$pageSize" +
+      s"#$sqlStatsTableTag"
+  }
+
+  override def pageSizeFormField: String = s"$sqlStatsTableTag.pageSize"
+
+  override def pageNumberFormField: String = s"$sqlStatsTableTag.page"
+
+  override def goButtonFormPath: String =
+    s"$parameterPath&$sqlStatsTableTag.sort=$encodedSortColumn" +
+      s"&$sqlStatsTableTag.desc=$desc#$sqlStatsTableTag"
+
+  override def headers: Seq[Node] = {
+    val sqlTableHeadersAndTooltips: Seq[(String, Boolean, Option[String])] =
+      if (showSessionLink) {
+        Seq(
+          ("User", true, None),
+          ("Job ID", true, None),
+          ("SQL Query ID", true, None),
+          ("Session ID", true, None),
+          ("Start Time", true, None),
+          ("Finish Time", true, Some(SPARK_CONNECT_SERVER_FINISH_TIME)),
+          ("Close Time", true, Some(SPARK_CONNECT_SERVER_CLOSE_TIME)),
+          ("Execution Time", true, Some(SPARK_CONNECT_SERVER_EXECUTION)),
+          ("Duration", true, Some(SPARK_CONNECT_SERVER_DURATION)),
+          ("Statement", true, None),
+          ("State", true, None),
+          ("Operation ID", true, None),
+          ("Job Tag", true, None),
+          ("Spark Session Tags", true, None),
+          ("Detail", true, None))
+      } else {
+        Seq(
+          ("User", true, None),
+          ("Job ID", true, None),
+          ("SQL Query ID", true, None),
+          ("Start Time", true, None),
+          ("Finish Time", true, Some(SPARK_CONNECT_SERVER_FINISH_TIME)),
+          ("Close Time", true, Some(SPARK_CONNECT_SERVER_CLOSE_TIME)),
+          ("Execution Time", true, Some(SPARK_CONNECT_SERVER_EXECUTION)),
+          ("Duration", true, Some(SPARK_CONNECT_SERVER_DURATION)),
+          ("Statement", true, None),
+          ("State", true, None),
+          ("Operation ID", true, None),
+          ("Job Tag", true, None),
+          ("Spark Session Tags", true, None),
+          ("Detail", true, None))
+      }
+
+    isSortColumnValid(sqlTableHeadersAndTooltips, sortColumn)
+
+    headerRow(
+      sqlTableHeadersAndTooltips,
+      desc,
+      pageSize,
+      sortColumn,
+      parameterPath,
+      sqlStatsTableTag,
+      sqlStatsTableTag)
+  }
+
+  override def row(sqlStatsTableRow: SqlStatsTableRow): Seq[Node] = {
+    val info = sqlStatsTableRow.executionInfo
+    val startTime = info.startTimestamp
+    val executionTime = sqlStatsTableRow.executionTime
+    val duration = sqlStatsTableRow.duration
+
+    def jobLinks(jobData: Seq[String]): Seq[Node] = {
+      jobData.map { jobId =>
+        <a href={jobURL(request, jobId)}>[{jobId}]</a>
+      }
+    }
+    def sqlLinks(sqlData: Seq[String]): Seq[Node] = {
+      sqlData.map { sqlExecId =>
+        <a href={sqlURL(request, sqlExecId)}>[{sqlExecId}]</a>
+      }
+    }
+    val sessionLink = "%s/%s/session/?id=%s".format(
+      UIUtils.prependBaseUri(request, parent.basePath),
+      parent.prefix,
+      info.sessionId)
+
+    <tr>
+      <td>
+        {info.userId}
+      </td>
+      <td>
+        {jobLinks(sqlStatsTableRow.jobId)}
+      </td>
+      <td>
+        {sqlLinks(sqlStatsTableRow.sqlExecId)}
+      </td>
+      {
+      if (showSessionLink) {
+        <td>
+          <a href={sessionLink}>{info.sessionId}</a>
+        </td>
+      }
+    }
+      <td>
+        {UIUtils.formatDate(startTime)}
+      </td>
+      <td>
+        {if (info.finishTimestamp > 0) formatDate(info.finishTimestamp)}
+      </td>
+      <td>
+        {if (info.closeTimestamp > 0) formatDate(info.closeTimestamp)}
+      </td>
+      <!-- Returns a human-readable string representing a duration such as "5 second 35 ms"-->
+      <td >
+        {formatDurationVerbose(executionTime)}
+      </td>
+      <td >
+        {formatDurationVerbose(duration)}
+      </td>
+      <td>
+        <span class="description-input">
+          {info.statement}
+        </span>
+      </td>
+      <td>
+        {if (info.isExecutionActive) "RUNNING" else info.state}
+      </td>
+      <td>
+        {info.operationId}
+      </td>
+      <td>
+        {info.jobTag}
+      </td>
+      <td>
+        {sqlStatsTableRow.sparkSessionTags.mkString(", ")}
+      </td>
+      {errorMessageCell(Option(info.detail))}
+    </tr>
+  }
+
+  private def errorMessageCell(errorMessageOption: Option[String]): Seq[Node] = {
+    val errorMessage = errorMessageOption.getOrElse("")
+    val isMultiline = errorMessage.indexOf('\n') >= 0
+    val errorSummary = StringEscapeUtils.escapeHtml4(if (isMultiline) {
+      errorMessage.substring(0, errorMessage.indexOf('\n'))
+    } else {
+      errorMessage
+    })
+    val details = detailsUINode(isMultiline, errorMessage)
+    <td>
+      {errorSummary}{details}
+    </td>
+  }
+
+  private def jobURL(request: HttpServletRequest, jobId: String): String =
+    "%s/jobs/job/?id=%s".format(UIUtils.prependBaseUri(request, parent.basePath), jobId)
+
+  private def sqlURL(request: HttpServletRequest, sqlExecId: String): String =
+    "%s/SQL/execution/?id=%s".format(UIUtils.prependBaseUri(request, parent.basePath), sqlExecId)
+}
+
+private[ui] class SessionStatsPagedTable(
+    request: HttpServletRequest,
+    parent: SparkConnectServerTab,
+    data: Seq[SessionInfo],
+    subPath: String,
+    basePath: String,
+    sessionStatsTableTag: String)
+    extends PagedTable[SessionInfo] {
+
+  private val (sortColumn, desc, pageSize) =
+    getTableParameters(request, sessionStatsTableTag, "Start Time")
+
+  private val encodedSortColumn = URLEncoder.encode(sortColumn, UTF_8.name())
+
+  private val parameterPath =
+    s"$basePath/$subPath/?${getParameterOtherTable(request, sessionStatsTableTag)}"
+
+  override val dataSource = new SessionStatsTableDataSource(data, pageSize, sortColumn, desc)
+
+  override def tableId: String = sessionStatsTableTag
+
+  override def tableCssClass: String =
+    "table table-bordered table-sm table-striped table-head-clickable table-cell-width-limited"
+
+  override def pageLink(page: Int): String = {
+    parameterPath +
+      s"&$pageNumberFormField=$page" +
+      s"&$sessionStatsTableTag.sort=$encodedSortColumn" +
+      s"&$sessionStatsTableTag.desc=$desc" +
+      s"&$pageSizeFormField=$pageSize" +
+      s"#$sessionStatsTableTag"
+  }
+
+  override def pageSizeFormField: String = s"$sessionStatsTableTag.pageSize"
+
+  override def pageNumberFormField: String = s"$sessionStatsTableTag.page"
+
+  override def goButtonFormPath: String =
+    s"$parameterPath&$sessionStatsTableTag.sort=$encodedSortColumn" +
+      s"&$sessionStatsTableTag.desc=$desc#$sessionStatsTableTag"
+
+  override def headers: Seq[Node] = {
+    val sessionTableHeadersAndTooltips: Seq[(String, Boolean, Option[String])] =
+      Seq(
+        ("User", true, None),
+        ("Session ID", true, None),
+        ("Start Time", true, None),
+        ("Finish Time", true, None),
+        ("Duration", true, Some(SPARK_CONNECT_SESSION_DURATION)),
+        ("Total Execute", true, Some(SPARK_CONNECT_SESSION_TOTAL_EXECUTE)))
+
+    isSortColumnValid(sessionTableHeadersAndTooltips, sortColumn)
+
+    headerRow(
+      sessionTableHeadersAndTooltips,
+      desc,
+      pageSize,
+      sortColumn,
+      parameterPath,
+      sessionStatsTableTag,
+      sessionStatsTableTag)
+  }
+
+  override def row(session: SessionInfo): Seq[Node] = {
+    val sessionLink = "%s/%s/session/?id=%s".format(
+      UIUtils.prependBaseUri(request, parent.basePath),
+      parent.prefix,
+      session.sessionId)
+    <tr>
+      <td> {session.userId} </td>
+      <td> <a href={sessionLink}> {session.sessionId} </a> </td>
+      <td> {formatDate(session.startTimestamp)} </td>
+      <td> {if (session.finishTimestamp > 0) formatDate(session.finishTimestamp)} </td>
+      <td> {formatDurationVerbose(session.totalTime)} </td>
+      <td> {session.totalExecution.toString} </td>
+    </tr>
+  }
+}
+
+private[ui] class SqlStatsTableRow(
+    val jobTag: String,
+    val jobId: Seq[String],
+    val sqlExecId: Seq[String],
+    val duration: Long,
+    val executionTime: Long,
+    val sparkSessionTags: Seq[String],
+    val executionInfo: ExecutionInfo)
+
+private[ui] class SqlStatsTableDataSource(
+    info: Seq[ExecutionInfo],
+    pageSize: Int,
+    sortColumn: String,
+    desc: Boolean)
+    extends PagedDataSource[SqlStatsTableRow](pageSize) {
+
+  // Convert ExecutionInfo to SqlStatsTableRow which contains the final contents to show in
+  // the table so that we can avoid creating duplicate contents during sorting the data
+  private val data = info.map(sqlStatsTableRow).sorted(ordering(sortColumn, desc))
+
+  override def dataSize: Int = data.size
+
+  override def sliceData(from: Int, to: Int): Seq[SqlStatsTableRow] = data.slice(from, to)
+
+  private def sqlStatsTableRow(executionInfo: ExecutionInfo): SqlStatsTableRow = {
+    val duration = executionInfo.totalTime(executionInfo.closeTimestamp)
+    val executionTime = executionInfo.totalTime(executionInfo.finishTimestamp)
+    val jobId = executionInfo.jobId.toSeq.sorted
+    val sqlExecId = executionInfo.sqlExecId.toSeq.sorted
+    val sparkSessionTags = executionInfo.sparkSessionTags.toSeq.sorted
+
+    new SqlStatsTableRow(
+      executionInfo.jobTag,
+      jobId,
+      sqlExecId,
+      duration,
+      executionTime,
+      sparkSessionTags,
+      executionInfo)
+  }
+
+  /**
+   * Return Ordering according to sortColumn and desc.
+   */
+  private def ordering(sortColumn: String, desc: Boolean): Ordering[SqlStatsTableRow] = {
+    val ordering: Ordering[SqlStatsTableRow] = sortColumn match {
+      case "User" => Ordering.by(_.executionInfo.userId)
+      case "Operation ID" => Ordering.by(_.executionInfo.operationId)
+      case "Job ID" => Ordering.by(_.jobId.headOption)
+      case "SQL Query ID" => Ordering.by(_.sqlExecId.headOption)
+      case "Session ID" => Ordering.by(_.executionInfo.sessionId)
+      case "Start Time" => Ordering.by(_.executionInfo.startTimestamp)
+      case "Finish Time" => Ordering.by(_.executionInfo.finishTimestamp)
+      case "Close Time" => Ordering.by(_.executionInfo.closeTimestamp)
+      case "Execution Time" => Ordering.by(_.executionTime)
+      case "Duration" => Ordering.by(_.duration)
+      case "Statement" => Ordering.by(_.executionInfo.statement)
+      case "State" => Ordering.by(_.executionInfo.state)
+      case "Detail" => Ordering.by(_.executionInfo.detail)
+      case "Job Tag" => Ordering.by(_.executionInfo.jobTag)
+      case "Spark Session Tags" => Ordering.by(_.sparkSessionTags.headOption)
+      case unknownColumn => throw new IllegalArgumentException(s"Unknown column: $unknownColumn")
+    }
+    if (desc) {
+      ordering.reverse
+    } else {
+      ordering
+    }
+  }
+}
+
+private[ui] class SessionStatsTableDataSource(
+    info: Seq[SessionInfo],
+    pageSize: Int,
+    sortColumn: String,
+    desc: Boolean)
+    extends PagedDataSource[SessionInfo](pageSize) {
+
+  // Sorting SessionInfo data
+  private val data = info.sorted(ordering(sortColumn, desc))
+
+  override def dataSize: Int = data.size
+
+  override def sliceData(from: Int, to: Int): Seq[SessionInfo] = data.slice(from, to)
+
+  /**
+   * Return Ordering according to sortColumn and desc.
+   */
+  private def ordering(sortColumn: String, desc: Boolean): Ordering[SessionInfo] = {
+    val ordering: Ordering[SessionInfo] = sortColumn match {
+      case "User" => Ordering.by(_.userId)
+      case "Session ID" => Ordering.by(_.sessionId)
+      case "Start Time" => Ordering.by(_.startTimestamp)
+      case "Finish Time" => Ordering.by(_.finishTimestamp)
+      case "Duration" => Ordering.by(_.totalTime)
+      case "Total Execute" => Ordering.by(_.totalExecution)
+      case unknownColumn => throw new IllegalArgumentException(s"Unknown column: $unknownColumn")
+    }
+    if (desc) {
+      ordering.reverse
+    } else {
+      ordering
+    }
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerSessionPage.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerSessionPage.scala
new file mode 100644
index 0000000000000..fde6e8da8b63f
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerSessionPage.scala
@@ -0,0 +1,128 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import javax.servlet.http.HttpServletRequest
+
+import scala.xml.Node
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.ui._
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.util.Utils
+
+/** Page for Spark UI that contains information pertaining to a single Spark Connect session */
+private[ui] class SparkConnectServerSessionPage(parent: SparkConnectServerTab)
+    extends WebUIPage("session")
+    with Logging {
+
+  val store = parent.store
+  private val startTime = parent.startTime
+
+  /** Render the page */
+  def render(request: HttpServletRequest): Seq[Node] = {
+    val sessionId = request.getParameter("id")
+    require(sessionId != null && sessionId.nonEmpty, "Missing id parameter")
+
+    val content = store.synchronized { // make sure all parts in this page are consistent
+      store
+        .getSession(sessionId)
+        .map { sessionStat =>
+          generateBasicStats() ++
+            <br/> ++
+            <h4>
+            User
+            {sessionStat.userId}
+            ,
+            Session created at
+            {formatDate(sessionStat.startTimestamp)}
+            ,
+            Total run
+            {sessionStat.totalExecution}
+            Request(s)
+          </h4> ++
+            generateSQLStatsTable(request, sessionStat.sessionId)
+        }
+        .getOrElse(<div>No information to display for session {sessionId}</div>)
+    }
+    UIUtils.headerSparkPage(request, "Spark Connect Session", content, parent)
+  }
+
+  /** Generate basic stats of the Spark Connect Server */
+  private def generateBasicStats(): Seq[Node] = {
+    val timeSinceStart = System.currentTimeMillis() - startTime.getTime
+    <ul class ="list-unstyled">
+      <li>
+        <strong>Started at: </strong> {formatDate(startTime)}
+      </li>
+      <li>
+        <strong>Time since start: </strong>{formatDurationVerbose(timeSinceStart)}
+      </li>
+    </ul>
+  }
+
+  /** Generate stats of batch statements of the Spark Connect server */
+  private def generateSQLStatsTable(request: HttpServletRequest, sessionID: String): Seq[Node] = {
+    val executionList = store.getExecutionList
+      .filter(_.sessionId == sessionID)
+    val numStatement = executionList.size
+    val table = if (numStatement > 0) {
+
+      val sqlTableTag = "sqlsessionstat"
+
+      val sqlTablePage =
+        Option(request.getParameter(s"$sqlTableTag.page")).map(_.toInt).getOrElse(1)
+
+      try {
+        Some(
+          new SqlStatsPagedTable(
+            request,
+            parent,
+            executionList,
+            "connect/session",
+            UIUtils.prependBaseUri(request, parent.basePath),
+            sqlTableTag,
+            showSessionLink = false).table(sqlTablePage))
+      } catch {
+        case e @ (_: IllegalArgumentException | _: IndexOutOfBoundsException) =>
+          Some(<div class="alert alert-error">
+            <p>Error while rendering job table:</p>
+            <pre>
+              {Utils.exceptionString(e)}
+            </pre>
+          </div>)
+      }
+    } else {
+      None
+    }
+    val content =
+      <span id="sqlsessionstat" class="collapse-aggregated-sqlsessionstat collapse-table"
+            onClick="collapseTable('collapse-aggregated-sqlsessionstat',
+                'aggregated-sqlsessionstat')">
+        <h4>
+          <span class="collapse-table-arrow arrow-open"></span>
+          <a>Request Statistics</a>
+        </h4>
+      </span> ++
+        <div class="aggregated-sqlsessionstat collapsible-table">
+          {table.getOrElse("No statistics have been generated yet.")}
+        </div>
+
+    content
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
new file mode 100644
index 0000000000000..4d1820a994c1e
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import java.util.Date
+
+import org.apache.spark.SparkContext
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.ui.{SparkUI, SparkUITab}
+
+private[connect] class SparkConnectServerTab(
+    val store: SparkConnectServerAppStatusStore,
+    sparkUI: SparkUI)
+    extends SparkUITab(sparkUI, "connect")
+    with Logging {
+
+  override val name = "Connect"
+
+  val parent = sparkUI
+  val startTime =
+    try {
+      sparkUI.store.applicationInfo().attempts.head.startTime
+    } catch {
+      case _: NoSuchElementException => new Date(System.currentTimeMillis())
+    }
+
+  attachPage(new SparkConnectServerPage(this))
+  attachPage(new SparkConnectServerSessionPage(this))
+  parent.attachTab(this)
+  def detach(): Unit = {
+    parent.detachTab(this)
+  }
+}
+
+private[connect] object SparkConnectServerTab {
+  def getSparkUI(sparkContext: SparkContext): SparkUI = {
+    sparkContext.ui.getOrElse {
+      throw QueryExecutionErrors.parentSparkUIToAttachTabNotFoundError()
+    }
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/ToolTips.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/ToolTips.scala
new file mode 100644
index 0000000000000..9b51ace83c6c1
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/ToolTips.scala
@@ -0,0 +1,39 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+private[ui] object ToolTips {
+  val SPARK_CONNECT_SERVER_FINISH_TIME =
+    "Execution finish time, before fetching the results"
+
+  val SPARK_CONNECT_SERVER_CLOSE_TIME =
+    "Operation close time after fetching the results"
+
+  val SPARK_CONNECT_SERVER_EXECUTION =
+    "Difference between start time and finish time"
+
+  val SPARK_CONNECT_SERVER_DURATION =
+    "Difference between start time and close time"
+
+  val SPARK_CONNECT_SESSION_TOTAL_EXECUTE =
+    "Number of operations submitted in this session"
+
+  val SPARK_CONNECT_SESSION_DURATION =
+    "Elapsed time since session start, or until closed if the session was closed"
+
+}
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
new file mode 100644
index 0000000000000..9292e44f177ba
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
@@ -0,0 +1,234 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import java.util.Properties
+
+import org.scalatest.BeforeAndAfter
+
+import org.apache.spark.{SharedSparkContext, SparkConf, SparkContext, SparkEnv, SparkFunSuite}
+import org.apache.spark.internal.config.Status.{ASYNC_TRACKING_ENABLED, LIVE_ENTITY_UPDATE_PERIOD}
+import org.apache.spark.scheduler.SparkListenerJobStart
+import org.apache.spark.sql.connect.config.Connect.{CONNECT_UI_SESSION_LIMIT, CONNECT_UI_STATEMENT_LIMIT}
+import org.apache.spark.sql.connect.service._
+import org.apache.spark.status.ElementTrackingStore
+import org.apache.spark.util.kvstore.InMemoryStore
+
+class SparkConnectServerListenerSuite
+    extends SparkFunSuite
+    with BeforeAndAfter
+    with SharedSparkContext {
+
+  private var kvstore: ElementTrackingStore = _
+
+  after {
+    if (kvstore != null) {
+      kvstore.close()
+      kvstore = null
+    }
+  }
+
+  Seq(true, false).foreach { live =>
+    test(s"listener events should store successfully (live = $live)") {
+      val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
+        createAppStatusStore(live)
+
+      listener.onOtherEvent(
+        SparkListenerConnectSessionStarted("sessionId", "user", System.currentTimeMillis()))
+      listener.onOtherEvent(
+        SparkListenerConnectOperationStarted(
+          ExecuteJobTag("sessionId", "userId", "operationId"),
+          "operationId",
+          System.currentTimeMillis(),
+          "sessionId",
+          "userId",
+          "userName",
+          "dummy query",
+          None,
+          Set()))
+      listener.onOtherEvent(
+        SparkListenerConnectOperationAnalyzed(
+          ExecuteJobTag("sessionId", "userId", "operationId"),
+          "operationId",
+          System.currentTimeMillis()))
+      listener.onJobStart(
+        SparkListenerJobStart(0, System.currentTimeMillis(), Nil, createProperties))
+      listener.onOtherEvent(
+        SparkListenerConnectOperationFinished(
+          ExecuteJobTag("sessionId", "userId", "operationId"),
+          "sessionId",
+          System.currentTimeMillis()))
+      listener.onOtherEvent(
+        SparkListenerConnectOperationClosed(
+          ExecuteJobTag("sessionId", "userId", "operationId"),
+          "sessionId",
+          System.currentTimeMillis()))
+
+      if (live) {
+        assert(statusStore.getOnlineSessionNum === 1)
+      }
+
+      listener.onOtherEvent(
+        SparkListenerConnectSessionClosed("sessionId", "userId", System.currentTimeMillis()))
+
+      if (!live) {
+        // To update history store
+        kvstore.close(false)
+      }
+      assert(statusStore.getOnlineSessionNum === 0)
+      assert(statusStore.getExecutionList.size === 1)
+
+      val storeExecData = statusStore.getExecutionList.head
+
+      assert(storeExecData.jobTag === ExecuteJobTag("sessionId", "userId", "operationId"))
+      assert(storeExecData.sessionId === "sessionId")
+      assert(storeExecData.statement === "dummy query")
+      assert(storeExecData.jobId === Seq("0"))
+      assert(listener.noLiveData())
+    }
+  }
+
+  Seq(true, false).foreach { live =>
+    test(s"cleanup session if exceeds the threshold (live = $live)") {
+      val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
+        createAppStatusStore(live)
+      var time = 0
+      listener.onOtherEvent(
+        SparkListenerConnectSessionStarted("sessionId1", "user", System.currentTimeMillis()))
+      time += 1
+      listener.onOtherEvent(
+        SparkListenerConnectSessionStarted("sessionId2", "user", System.currentTimeMillis()))
+      time += 1
+      listener.onOtherEvent(SparkListenerConnectSessionClosed("sessionId1", "userId", time))
+      time += 1
+      listener.onOtherEvent(SparkListenerConnectSessionClosed("sessionId2", "userId", time))
+      listener.onOtherEvent(
+        SparkListenerConnectSessionStarted("sessionId3", "user", System.currentTimeMillis()))
+      time += 1
+      listener.onOtherEvent(SparkListenerConnectSessionClosed("sessionId3", "userId", time))
+
+      if (!live) {
+        kvstore.close(false)
+      }
+      assert(statusStore.getOnlineSessionNum === 0)
+      assert(statusStore.getSessionCount === 1)
+      assert(statusStore.getSession("sessionId1") === None)
+      assert(listener.noLiveData())
+    }
+  }
+
+  test("update execution info when jobstart event come after execution end event") {
+    val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
+      createAppStatusStore(true)
+
+    listener.onOtherEvent(
+      SparkListenerConnectSessionStarted("sessionId", "userId", System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationStarted(
+        ExecuteJobTag("sessionId", "userId", "operationId"),
+        "operationId",
+        System.currentTimeMillis(),
+        "sessionId",
+        "userId",
+        "userName",
+        "dummy query",
+        None,
+        Set()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationAnalyzed(
+        ExecuteJobTag("sessionId", "userId", "operationId"),
+        "operationId",
+        System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationFinished(
+        ExecuteJobTag("sessionId", "userId", "operationId"),
+        "operationId",
+        System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationClosed(
+        ExecuteJobTag("sessionId", "userId", "operationId"),
+        "operationId",
+        System.currentTimeMillis()))
+
+    listener.onJobStart(
+      SparkListenerJobStart(0, System.currentTimeMillis(), Nil, createProperties))
+    listener.onOtherEvent(
+      SparkListenerConnectSessionClosed("sessionId", "userId", System.currentTimeMillis()))
+    val exec = statusStore.getExecution(ExecuteJobTag("sessionId", "userId", "operationId"))
+    assert(exec.isDefined)
+    assert(exec.get.jobId === Seq("0"))
+    assert(listener.noLiveData())
+  }
+
+  test("SPARK-31387 - listener update methods should not throw exception with unknown input") {
+    val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
+      createAppStatusStore(true)
+
+    val unknownSession = "unknown_session"
+    val unknownJob = "unknown_job_tag"
+    listener.onOtherEvent(SparkListenerConnectSessionClosed(unknownSession, "userId", 0))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationStarted(
+        ExecuteJobTag("sessionId", "userId", "operationId"),
+        "operationId",
+        System.currentTimeMillis(),
+        unknownSession,
+        "userId",
+        "userName",
+        "dummy query",
+        None,
+        Set()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationAnalyzed(
+        unknownJob,
+        "operationId",
+        System.currentTimeMillis()))
+    listener.onOtherEvent(SparkListenerConnectOperationCanceled(unknownJob, "userId", 0))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationFailed(unknownJob, "operationId", 0, "msg"))
+    listener.onOtherEvent(SparkListenerConnectOperationFinished(unknownJob, "operationId", 0))
+    listener.onOtherEvent(SparkListenerConnectOperationClosed(unknownJob, "operationId", 0))
+  }
+
+  private def createProperties: Properties = {
+    val properties = new Properties()
+    properties.setProperty(
+      SparkContext.SPARK_JOB_TAGS,
+      ExecuteJobTag("sessionId", "userId", "operationId"))
+    properties
+  }
+
+  private def createAppStatusStore(live: Boolean) = {
+    val sparkConf = new SparkConf()
+    sparkConf
+      .set(ASYNC_TRACKING_ENABLED, false)
+      .set(LIVE_ENTITY_UPDATE_PERIOD, 0L)
+    SparkEnv.get.conf
+      .set(CONNECT_UI_SESSION_LIMIT, 1)
+      .set(CONNECT_UI_STATEMENT_LIMIT, 10)
+    kvstore = new ElementTrackingStore(new InMemoryStore, sparkConf)
+    if (live) {
+      val listener = new SparkConnectServerListener(kvstore, sparkConf)
+      (new SparkConnectServerAppStatusStore(kvstore), listener)
+    } else {
+      (
+        new SparkConnectServerAppStatusStore(kvstore),
+        new SparkConnectServerListener(kvstore, sparkConf, false))
+    }
+  }
+}
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala
new file mode 100644
index 0000000000000..99d0a14f1e8df
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala
@@ -0,0 +1,135 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.ui
+
+import java.util.{Calendar, Locale}
+import javax.servlet.http.HttpServletRequest
+
+import org.mockito.Mockito.{mock, when, RETURNS_SMART_NULLS}
+import org.scalatest.BeforeAndAfter
+
+import org.apache.spark.{SharedSparkContext, SparkConf, SparkFunSuite}
+import org.apache.spark.scheduler.SparkListenerJobStart
+import org.apache.spark.sql.connect.service._
+import org.apache.spark.status.ElementTrackingStore
+import org.apache.spark.util.kvstore.InMemoryStore
+
+class SparkConnectServerPageSuite
+    extends SparkFunSuite
+    with BeforeAndAfter
+    with SharedSparkContext {
+
+  private var kvstore: ElementTrackingStore = _
+
+  after {
+    if (kvstore != null) {
+      kvstore.close()
+      kvstore = null
+    }
+  }
+
+  /**
+   * Run a dummy session and return the store
+   */
+  private def getStatusStore: SparkConnectServerAppStatusStore = {
+    kvstore = new ElementTrackingStore(new InMemoryStore, new SparkConf())
+    // val server = mock(classOf[SparkConnectServer], RETURNS_SMART_NULLS)
+    val sparkConf = new SparkConf
+
+    val listener = new SparkConnectServerListener(kvstore, sparkConf)
+    val statusStore = new SparkConnectServerAppStatusStore(kvstore)
+
+    listener.onOtherEvent(
+      SparkListenerConnectSessionStarted("sessionId", "userId", System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationStarted(
+        "jobTag",
+        "operationId",
+        System.currentTimeMillis(),
+        "sessionId",
+        "userId",
+        "userName",
+        "dummy query",
+        None,
+        Set()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationAnalyzed("jobTag", "dummy plan", System.currentTimeMillis()))
+    listener.onOtherEvent(SparkListenerJobStart(0, System.currentTimeMillis(), Seq()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationFinished("jobTag", "operationId", System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectOperationClosed("jobTag", "operationId", System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerConnectSessionClosed("sessionId", "userId", System.currentTimeMillis()))
+
+    statusStore
+  }
+
+  test("Spark Connect Server page should load successfully") {
+    val store = getStatusStore
+
+    val request = mock(classOf[HttpServletRequest])
+    val tab = mock(classOf[SparkConnectServerTab], RETURNS_SMART_NULLS)
+    when(tab.startTime).thenReturn(Calendar.getInstance().getTime)
+    when(tab.store).thenReturn(store)
+    when(tab.appName).thenReturn("testing")
+    when(tab.headerTabs).thenReturn(Seq.empty)
+    val page = new SparkConnectServerPage(tab)
+    val html = page.render(request).toString().toLowerCase(Locale.ROOT)
+
+    // session statistics and sql statistics tables should load successfully
+    assert(html.contains("session statistics (1)"))
+    assert(html.contains("request statistics (1)"))
+    assert(html.contains("dummy query"))
+
+    // Pagination support
+    assert(html.contains("<label>1 pages. jump to</label>"))
+
+    // Hiding table support
+    assert(
+      html.contains("class=\"collapse-aggregated-sessionstat" +
+        " collapse-table\" onclick=\"collapsetable"))
+  }
+
+  test("Spark Connect Server session page should load successfully") {
+    val store = getStatusStore
+
+    val request = mock(classOf[HttpServletRequest])
+    when(request.getParameter("id")).thenReturn("sessionId")
+    val tab = mock(classOf[SparkConnectServerTab], RETURNS_SMART_NULLS)
+    when(tab.startTime).thenReturn(Calendar.getInstance().getTime)
+    when(tab.store).thenReturn(store)
+    when(tab.appName).thenReturn("testing")
+    when(tab.headerTabs).thenReturn(Seq.empty)
+    val page = new SparkConnectServerSessionPage(tab)
+    val html = page.render(request).toString().toLowerCase(Locale.ROOT)
+
+    // session sql statistics table should load successfully
+    assert(html.contains("request statistics"))
+    assert(html.contains("userid"))
+    assert(html.contains("jobtag"))
+
+    // Pagination support
+    assert(html.contains("<label>1 pages. jump to</label>"))
+
+    // Hiding table support
+    assert(
+      html.contains("collapse-aggregated-sqlsessionstat collapse-table\"" +
+        " onclick=\"collapsetable"))
+  }
+}
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 26fdb86d29903..4aea442bc3ce1 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -671,7 +671,7 @@ class SparkContext(config: SparkConf) extends Logging {
     postApplicationStart()
 
     // After application started, attach handlers to started server and start handler.
-    _ui.foreach(_.attachAllHandler())
+    _ui.foreach(_.attachAllHandlers())
     // Attach the driver metrics servlet handler to the web ui after the metrics system is started.
     _env.metricsSystem.getServletHandlers.foreach(handler => ui.foreach(_.attachHandler(handler)))
 
diff --git a/core/src/main/scala/org/apache/spark/ui/SparkUI.scala b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
index ac154b7938565..685407c11208f 100644
--- a/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
@@ -67,15 +67,31 @@ private[spark] class SparkUI private (
     createServletHandler("/", servlet, basePath)
   }
 
+  private var readyToAttachHandlers = false
+
   /**
    * Attach all existing handlers to ServerInfo.
    */
-  def attachAllHandler(): Unit = {
+  def attachAllHandlers(): Unit = {
+    // Attach all handlers that have been added already, but not yet attached.
     serverInfo.foreach { server =>
       server.removeHandler(initHandler)
       handlers.foreach(server.addHandler(_, securityManager))
     }
+    // Handlers attached after this can be directly started.
+    readyToAttachHandlers = true
   }
+
+  /** Attaches a handler to this UI.
+   *  Note: The handler will not be attached until readyToAttachHandlers is true,
+   *  handlers added before that will be attached by attachAllHandlers */
+  override def attachHandler(handler: ServletContextHandler): Unit = synchronized {
+    handlers += handler
+    if (readyToAttachHandlers) {
+      serverInfo.foreach(_.addHandler(handler, securityManager))
+    }
+  }
+
   /** Initialize all components of the server. */
   def initialize(): Unit = {
     val jobsTab = new JobsTab(this, store)
diff --git a/core/src/test/scala/org/apache/spark/ui/UISuite.scala b/core/src/test/scala/org/apache/spark/ui/UISuite.scala
index 352c51baa8ca6..e7d57a6e6def9 100644
--- a/core/src/test/scala/org/apache/spark/ui/UISuite.scala
+++ b/core/src/test/scala/org/apache/spark/ui/UISuite.scala
@@ -442,7 +442,7 @@ class UISuite extends SparkFunSuite {
       sparkUI.bind()
       assert(TestUtils.httpResponseMessage(new URL(sparkUI.webUrl + "/jobs"))
         === "Spark is starting up. Please wait a while until it's ready.")
-      sparkUI.attachAllHandler()
+      sparkUI.attachAllHandlers()
       assert(TestUtils.httpResponseMessage(new URL(sparkUI.webUrl + "/jobs")).contains(sc.appName))
       sparkUI.stop()
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/StreamingQueryHistoryServerPlugin.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/StreamingQueryHistoryServerPlugin.scala
index a127fa59b7433..76f64dcb64451 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/StreamingQueryHistoryServerPlugin.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/StreamingQueryHistoryServerPlugin.scala
@@ -39,5 +39,5 @@ class StreamingQueryHistoryServerPlugin extends AppHistoryServerPlugin {
     }
   }
 
-  override def displayOrder: Int = 1
+  override def displayOrder: Int = 2
 }

From d319243c9bfb461d56671774c59beee2718ad4b2 Mon Sep 17 00:00:00 2001
From: jdesjean <jf.gauthier@databricks.com>
Date: Sat, 29 Jul 2023 13:44:40 -0700
Subject: [PATCH 094/986] [SPARK-44591][CONNECT][SQL] Add jobTags to
 SparkListenerSQLExecutionStart

### What changes were proposed in this pull request?
Add jobTags to SparkListenerSQLExecutionStart

### Why are the changes needed?
As part [SPARK-43952](https://issues.apache.org/jira/browse/SPARK-43952), users can define job tags via SparkContext.addJobTag. These tags are then used to trigger cancelation via SparkContext.cancelJobsByTag. Furthermore, these tags can be used to logically group multiple jobs together.

Listener of job events can retrieve job tags via  SparkListenerJobStart.props.getProperty(SparkContext.SPARK_JOB_TAGS)

Listener of SQL events can link SparkListenerJobStart & SparkListenerSQLExecutionStart via SparkListenerJobStart.props.getProperty(SQLExecution.EXECUTION_ID_KEY).

However, some SQL executions do not trigger jobs (i.e. commands). As such listeners of SQL executions cannot resolve job tags of all executions.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
```
testOnly org.apache.spark.sql.execution.SQLExecutionSuite
```

Closes #42216 from jdesjean/SPARK-44591.

Authored-by: jdesjean <jf.gauthier@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 37b571d2eadee273e1d1fb7293aa17dd1fe14935)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/execution/SQLExecution.scala    |  4 ++-
 .../execution/ui/SQLAppStatusListener.scala   |  2 +-
 .../spark/sql/execution/ui/SQLListener.scala  |  3 +-
 .../sql/execution/SQLExecutionSuite.scala     | 30 +++++++++++++++++++
 .../ui/SQLAppStatusListenerSuite.scala        |  2 +-
 5 files changed, 37 insertions(+), 4 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
index 7c157a749965e..66de9d37db0a9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
@@ -119,7 +119,9 @@ object SQLExecution {
             // will be caught and reported in the `SparkListenerSQLExecutionEnd`
             sparkPlanInfo = SparkPlanInfo.fromSparkPlan(queryExecution.executedPlan),
             time = System.currentTimeMillis(),
-            redactedConfigs))
+            modifiedConfigs = redactedConfigs,
+            jobTags = sc.getJobTags()
+          ))
           body
         } catch {
           case e: Throwable =>
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
index 7b9f877bdef5a..3fafc399dd828 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
@@ -342,7 +342,7 @@ class SQLAppStatusListener(
 
   private def onExecutionStart(event: SparkListenerSQLExecutionStart): Unit = {
     val SparkListenerSQLExecutionStart(executionId, rootExecutionId, description, details,
-      physicalPlanDescription, sparkPlanInfo, time, modifiedConfigs) = event
+      physicalPlanDescription, sparkPlanInfo, time, modifiedConfigs, _) = event
 
     val planGraph = SparkPlanGraph(sparkPlanInfo)
     val sqlPlanMetrics = planGraph.allNodes.flatMap { node =>
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala
index d4c8f600a4e2f..3a22dd23548fc 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala
@@ -53,7 +53,8 @@ case class SparkListenerSQLExecutionStart(
     physicalPlanDescription: String,
     sparkPlanInfo: SparkPlanInfo,
     time: Long,
-    modifiedConfigs: Map[String, String] = Map.empty)
+    modifiedConfigs: Map[String, String] = Map.empty,
+    jobTags: Set[String] = Set.empty)
   extends SparkListenerEvent
 
 @DeveloperApi
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
index 1a062d8d4e257..766f4959caa1e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala
@@ -203,6 +203,36 @@ class SQLExecutionSuite extends SparkFunSuite {
       spark.stop()
     }
   }
+
+  test("SPARK-44591: jobTags property") {
+    val spark = SparkSession.builder.master("local[*]").appName("test").getOrCreate()
+    val jobTag = "jobTag"
+    try {
+      spark.sparkContext.addJobTag(jobTag)
+
+      var jobTags: Option[String] = None
+      var sqlJobTags: Set[String] = Set.empty
+      spark.sparkContext.addSparkListener(new SparkListener {
+        override def onJobStart(jobStart: SparkListenerJobStart): Unit = {
+          jobTags = Some(jobStart.properties.getProperty(SparkContext.SPARK_JOB_TAGS))
+        }
+        override def onOtherEvent(event: SparkListenerEvent): Unit = {
+          event match {
+            case e: SparkListenerSQLExecutionStart =>
+              sqlJobTags = e.jobTags
+          }
+        }
+      })
+
+      spark.range(1).collect()
+
+      assert(jobTags.contains(jobTag))
+      assert(sqlJobTags.contains(jobTag))
+    } finally {
+      spark.sparkContext.removeJobTag(jobTag)
+      spark.stop()
+    }
+  }
 }
 
 object SQLExecutionSuite {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
index 0e3ba6b79eb5e..72f8de3e9ccdd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
@@ -345,7 +345,7 @@ abstract class SQLAppStatusListenerSuite extends SharedSparkSession with JsonTes
       val listener = new SparkListener {
         override def onOtherEvent(event: SparkListenerEvent): Unit = {
           event match {
-            case SparkListenerSQLExecutionStart(_, _, _, _, planDescription, _, _, _) =>
+            case SparkListenerSQLExecutionStart(_, _, _, _, planDescription, _, _, _, _) =>
               assert(expected.forall(planDescription.contains))
               checkDone = true
             case _ => // ignore other events

From f9332855c6f52d35fb3548a5c3057bb007038140 Mon Sep 17 00:00:00 2001
From: bogao007 <bo.gao@databricks.com>
Date: Sun, 30 Jul 2023 10:41:56 +0900
Subject: [PATCH 095/986] [SPARK-44432][SS][CONNECT] Terminate streaming
 queries when a session times out in Spark Connect

### What changes were proposed in this pull request?

Spark Connect server keeps a session id at connect server alive as long as a streaming query is alive. This may not be desirable. If the client disconnects long enough and times out in server, we should let the session mapping to be removed and terminate the streaming queries.

### Why are the changes needed?

As a Spark Connect semantic, we want to cleanup running queries when client is disconnected/timed out for a long time that the related session mapping is removed from the server.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Updated existing unit test to include new test case.

Closes #42193 from bogao007/query-termination.

Authored-by: bogao007 <bo.gao@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4d3fb62302bb5f8e1f4b7b5fc23d94b9f600d4ae)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/connect/service/SessionHolder.scala    |  3 +++
 .../service/SparkConnectStreamingQueryCache.scala    | 12 ++++++++++++
 .../SparkConnectStreamingQueryCacheSuite.scala       |  6 ++++--
 3 files changed, 19 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index ae53d1d171f0c..666fba9789fa8 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -165,6 +165,9 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     logDebug(s"Expiring session with userId: $userId and sessionId: $sessionId")
     artifactManager.cleanUpResources()
     eventManager.postClosed()
+
+    // Clean up running queries
+    SparkConnectService.streamingSessionManager.cleanupRunningQueries(this)
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
index 133686df01883..19acba7c77e6f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
@@ -107,6 +107,18 @@ private[connect] class SparkConnectStreamingQueryCache(
     }
   }
 
+  /**
+   * Terminate all the running queries attached to the given sessionHolder. This is used when
+   * session is expired and we need to cleanup resources of that session.
+   */
+  def cleanupRunningQueries(sessionHolder: SessionHolder): Unit = {
+    for ((k, v) <- queryCache) {
+      if (v.userId.equals(sessionHolder.userId) && v.sessionId.equals(sessionHolder.sessionId)) {
+        v.query.stop()
+      }
+    }
+  }
+
   // Visible for testing
   private[service] def getCachedValue(queryId: String, runId: String): Option[QueryCacheValue] =
     queryCache.get(QueryCacheKey(queryId, runId))
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
index 36f284ec3ca2e..4251d2badb951 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
@@ -22,7 +22,7 @@ import java.util.concurrent.atomic.AtomicInteger
 
 import scala.concurrent.duration.DurationInt
 
-import org.mockito.Mockito.when
+import org.mockito.Mockito.{verify, when}
 import org.scalatest.concurrent.Eventually.eventually
 import org.scalatest.concurrent.Futures.timeout
 import org.scalatestplus.mockito.MockitoSugar
@@ -95,7 +95,9 @@ class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSug
     // Query is returned when correct session is used
     assert(sessionMgr.getCachedQuery(queryId, runId, mockSession).contains(mockQuery))
 
-    // Stop the query.
+    // Cleanup the query and verify if stop() method has been called.
+    sessionMgr.cleanupRunningQueries(sessionHolder)
+    verify(mockQuery).stop()
     when(mockQuery.isActive).thenReturn(false)
 
     val expectedExpiryTimeMs = sessionMgr.clock.getTimeMillis() + 1.minute.toMillis

From 9832b847d5596282bef7e7ff4810842a48b5cae2 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Sun, 30 Jul 2023 10:50:44 +0900
Subject: [PATCH 096/986] [SPARK-44596] Fix pandas-on-Spark type checks for
 assertDataFrameEqual

### What changes were proposed in this pull request?
This PR fixes the type checks for pandas-on-Spark DataFrame comparison in `assertDataFrameEqual`

### Why are the changes needed?
Previously, the type checks restricted the `expected` argument to be a pandas-on-Spark DataFrame, when it should allow pandas or pandas-on-Spark

### Does this PR introduce _any_ user-facing change?
Modifies the user-facing API, `assertDataFrameEqual`

### How was this patch tested?
Existing tests in `python/pyspark/sql/tests/test_utils.py` and `python/pyspark/sql/tests/connect/test_utils.py`

Closes #42218 from asl3/fix-psdf-type-check.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit a76ee1139dfd478043861b3a528f9a5c1d05ec32)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py |  6 ------
 python/pyspark/sql/tests/test_utils.py | 25 +++++++++++++++++++------
 python/pyspark/testing/pandasutils.py  |  8 +++++---
 python/pyspark/testing/utils.py        | 16 ----------------
 4 files changed, 24 insertions(+), 31 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index f6411fac1da13..acecc48f0a8d9 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -269,12 +269,6 @@
       "NumPy array input should be of <dimensions> dimensions."
     ]
   },
-  "INVALID_PANDAS_ON_SPARK_COMPARISON" : {
-    "message" : [
-      "Expected two pandas-on-Spark DataFrames",
-      "but got actual: <actual_type> and expected: <expected_type>"
-    ]
-  },
   "INVALID_PANDAS_UDF" : {
     "message" : [
       "Invalid function: <detail>"
diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index 500c314e449ba..7f3c1f841645d 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -651,6 +651,7 @@ def test_assert_equal_approx_pandas_df(self):
 
     def test_assert_error_pandas_pyspark_df(self):
         import pyspark.pandas as ps
+        import pandas as pd
 
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
         df2 = self.spark.createDataFrame([(10,), (11,), (13,)], ["Numbers"])
@@ -660,10 +661,16 @@ def test_assert_error_pandas_pyspark_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "actual_type": type(df1),
-                "expected_type": type(df2),
+                "expected_type": f"{ps.DataFrame.__name__}, "
+                f"{pd.DataFrame.__name__}, "
+                f"{ps.Series.__name__}, "
+                f"{pd.Series.__name__}, "
+                f"{ps.Index.__name__}"
+                f"{pd.Index.__name__}, ",
+                "arg_name": "expected",
+                "actual_type": type(df2),
             },
         )
 
@@ -672,10 +679,16 @@ def test_assert_error_pandas_pyspark_df(self):
 
         self.check_error(
             exception=pe.exception,
-            error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "actual_type": type(df1),
-                "expected_type": type(df2),
+                "expected_type": f"{ps.DataFrame.__name__}, "
+                f"{pd.DataFrame.__name__}, "
+                f"{ps.Series.__name__}, "
+                f"{pd.Series.__name__}, "
+                f"{ps.Index.__name__}"
+                f"{pd.Index.__name__}, ",
+                "arg_name": "expected",
+                "actual_type": type(df2),
             },
         )
 
diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 4ffe8858396e2..5899925352144 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -326,7 +326,7 @@ def _assert_pandas_almost_equal(
 
 def assertPandasOnSparkEqual(
     actual: Union[DataFrame, Series, Index],
-    expected: Union[DataFrame, pd.DataFrame, Series, Index],
+    expected: Union[DataFrame, pd.DataFrame, Series, pd.Series, Index, pd.Index],
     checkExact: bool = True,
     almost: bool = False,
     checkRowOrder: bool = False,
@@ -392,14 +392,16 @@ def assertPandasOnSparkEqual(
                 "actual_type": type(actual),
             },
         )
-    elif not isinstance(expected, (DataFrame, pd.DataFrame, Series, Index)):
+    elif not isinstance(expected, (DataFrame, pd.DataFrame, Series, pd.Series, Index, pd.Index)):
         raise PySparkAssertionError(
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
                 "expected_type": f"{DataFrame.__name__}, "
                 f"{pd.DataFrame.__name__}, "
                 f"{Series.__name__}, "
-                f"{Index.__name__}",
+                f"{pd.Series.__name__}, "
+                f"{Index.__name__}"
+                f"{pd.Index.__name__}, ",
                 "arg_name": "expected",
                 "actual_type": type(expected),
             },
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 3ba92017fc4c5..9d29e3969b572 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -413,14 +413,6 @@ def assertDataFrameEqual(
 
         if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
             # handle pandas DataFrames
-            if not (isinstance(actual, ps.DataFrame) and isinstance(expected, ps.DataFrame)):
-                raise PySparkAssertionError(
-                    error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
-                    message_parameters={
-                        "actual_type": type(actual),
-                        "expected_type": type(expected),
-                    },
-                )
             # assert approximate equality for float data
             return assertPandasOnSparkEqual(
                 actual, expected, checkExact=False, checkRowOrder=checkRowOrder
@@ -446,14 +438,6 @@ def assertDataFrameEqual(
     except Exception:
         if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
             # handle pandas DataFrames
-            if not (isinstance(actual, ps.DataFrame) and isinstance(expected, ps.DataFrame)):
-                raise PySparkAssertionError(
-                    error_class="INVALID_PANDAS_ON_SPARK_COMPARISON",
-                    message_parameters={
-                        "actual_type": type(actual),
-                        "expected_type": type(expected),
-                    },
-                )
             # assert approximate equality for float data
             return assertPandasOnSparkEqual(
                 actual, expected, checkExact=False, checkRowOrder=checkRowOrder

From 33fd9a766b290b0802004d06d9a4e3c71ef0011e Mon Sep 17 00:00:00 2001
From: vicennial <venkata.gudesa@databricks.com>
Date: Sun, 30 Jul 2023 10:54:35 +0900
Subject: [PATCH 097/986] [SPARK-44584][CONNECT] Set client_type information
 for AddArtifactsRequest and ArtifactStatusesRequest in Scala Client

### What changes were proposed in this pull request?

Added `client_type` information to the `AddArtifactsRequest` and `ArtifactStatusesRequest` by having `ArtifactManager` take in the `SparkConnectClient.Configuration` param instead of just `userContext` (the configuration provides both the `userContext` and the `userAgent` (i.e the client type))

### Why are the changes needed?

The client_type information is missing for the `AddArtifactsRequest` and `ArtifactStatusesRequest` compared to the other requests (e.g `analyze`, `execute` etc).

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

N/A

Closes #42209 from vicennial/SPARK-44584.

Authored-by: vicennial <venkata.gudesa@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 6cd3ce4963935fa752a20bbde93f757ca4888799)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/connect/client/ArtifactManager.scala      | 15 +++++++++------
 .../sql/connect/client/SparkConnectClient.scala   |  2 +-
 .../spark/sql/connect/client/ArtifactSuite.scala  |  4 ++--
 3 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
index a0158170a5b9b..136a31fca3cda 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
@@ -42,8 +42,8 @@ import org.apache.spark.util.{SparkFileUtils, SparkThreadUtils}
 /**
  * The Artifact Manager is responsible for handling and transferring artifacts from the local
  * client to the server (local/remote).
- * @param userContext
- *   The user context the artifact manager operates in.
+ * @param clientConfig
+ *   The configuration of the client that the artifact manager operates in.
  * @param sessionId
  *   An unique identifier of the session which the artifact manager belongs to.
  * @param bstub
@@ -52,7 +52,7 @@ import org.apache.spark.util.{SparkFileUtils, SparkThreadUtils}
  *   An async stub to the server.
  */
 class ArtifactManager(
-    userContext: proto.UserContext,
+    clientConfig: SparkConnectClient.Configuration,
     sessionId: String,
     bstub: CustomSparkConnectBlockingStub,
     stub: CustomSparkConnectStub) {
@@ -114,7 +114,8 @@ class ArtifactManager(
     val artifactName = CACHE_PREFIX + "/" + hash
     val request = proto.ArtifactStatusesRequest
       .newBuilder()
-      .setUserContext(userContext)
+      .setUserContext(clientConfig.userContext)
+      .setClientType(clientConfig.userAgent)
       .setSessionId(sessionId)
       .addAllNames(Arrays.asList(artifactName))
       .build()
@@ -216,7 +217,8 @@ class ArtifactManager(
       stream: StreamObserver[proto.AddArtifactsRequest]): Unit = {
     val builder = proto.AddArtifactsRequest
       .newBuilder()
-      .setUserContext(userContext)
+      .setUserContext(clientConfig.userContext)
+      .setClientType(clientConfig.userAgent)
       .setSessionId(sessionId)
     artifacts.foreach { artifact =>
       val in = new CheckedInputStream(artifact.storage.stream, new CRC32)
@@ -271,7 +273,8 @@ class ArtifactManager(
       stream: StreamObserver[proto.AddArtifactsRequest]): Unit = {
     val builder = proto.AddArtifactsRequest
       .newBuilder()
-      .setUserContext(userContext)
+      .setUserContext(clientConfig.userContext)
+      .setClientType(clientConfig.userAgent)
       .setSessionId(sessionId)
 
     val in = new CheckedInputStream(artifact.storage.stream, new CRC32)
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index d03d27a6f53d5..1a7fbcefc1dda 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -59,7 +59,7 @@ private[sql] class SparkConnectClient(
   private[sql] val sessionId: String = UUID.randomUUID.toString
 
   private[client] val artifactManager: ArtifactManager = {
-    new ArtifactManager(userContext, sessionId, bstub, stub)
+    new ArtifactManager(configuration, sessionId, bstub, stub)
   }
 
   /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
index a15d7562f19e1..7901008bc12e1 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
@@ -28,8 +28,8 @@ import io.grpc.inprocess.{InProcessChannelBuilder, InProcessServerBuilder}
 import org.apache.commons.codec.digest.DigestUtils.sha256Hex
 import org.scalatest.BeforeAndAfterEach
 
-import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.AddArtifactsRequest
+import org.apache.spark.sql.connect.client.SparkConnectClient.Configuration
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 
 class ArtifactSuite extends ConnectFunSuite with BeforeAndAfterEach {
@@ -57,7 +57,7 @@ class ArtifactSuite extends ConnectFunSuite with BeforeAndAfterEach {
     retryPolicy = GrpcRetryHandler.RetryPolicy()
     bstub = new CustomSparkConnectBlockingStub(channel, retryPolicy)
     stub = new CustomSparkConnectStub(channel, retryPolicy)
-    artifactManager = new ArtifactManager(proto.UserContext.newBuilder().build(), "", bstub, stub)
+    artifactManager = new ArtifactManager(Configuration(), "", bstub, stub)
   }
 
   override def beforeEach(): Unit = {

From 93c29730be4534e70f23a280551fe2906f02a174 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Sun, 30 Jul 2023 10:56:32 +0900
Subject: [PATCH 098/986] [SPARK-44590][SQL][CONNECT] Remove the arrow batch
 record limit for SqlCommandResult

### What changes were proposed in this pull request?

- Remove the arrow batch record limit for SqlCommandResult

### Why are the changes needed?

- Limit on size is sufficient

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

`build/sbt "connect-client-jvm/testOnly *ClientE2ETestSuite"`

Closes #42213 from heyihong/SPARK-44590.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d232e6e170d174bf87fbd8ac83b1d74257811027)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/ClientE2ETestSuite.scala    | 16 ++++++++++++++++
 .../connect/planner/SparkConnectPlanner.scala    | 11 +++++------
 2 files changed, 21 insertions(+), 6 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 852f1799f3689..36f47cc1fba6e 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -43,6 +43,22 @@ import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
+  test("many tables") {
+    withSQLConf("spark.sql.execution.arrow.maxRecordsPerBatch" -> "10") {
+      val numTables = 20
+      try {
+        for (i <- 0 to numTables) {
+          spark.sql(s"create table testcat.table${i} (id int)")
+        }
+        assert(spark.sql("show tables in testcat").collect().length == numTables + 1)
+      } finally {
+        for (i <- 0 to numTables) {
+          spark.sql(s"drop table if exists testcat.table${i}")
+        }
+      }
+    }
+  }
+
   // Spark Result
   test("spark result schema") {
     val df = spark.sql("select val from (values ('Hello'), ('World')) as t(val)")
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 58e6e7ea23fdd..61e5d9de9142a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -2429,7 +2429,6 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
     // Convert the results to Arrow.
     val schema = df.schema
-    val maxRecordsPerBatch = session.sessionState.conf.arrowMaxRecordsPerBatch
     val maxBatchSize = (SparkEnv.get.conf.get(CONNECT_GRPC_ARROW_MAX_BATCH_SIZE) * 0.7).toLong
     val timeZoneId = session.sessionState.conf.sessionLocalTimeZone
 
@@ -2441,11 +2440,11 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         errorOnDuplicatedFieldNames = false)
     } else {
       val batches = ArrowConverters.toBatchWithSchemaIterator(
-        rows.iterator,
-        schema,
-        maxRecordsPerBatch,
-        maxBatchSize,
-        timeZoneId,
+        rowIter = rows.iterator,
+        schema = schema,
+        maxRecordsPerBatch = -1,
+        maxEstimatedBatchSize = maxBatchSize,
+        timeZoneId = timeZoneId,
         errorOnDuplicatedFieldNames = false)
       assert(batches.hasNext)
       val bytes = batches.next()

From ee4989e66ebfcbdc374108fbf0feb9bb183a7502 Mon Sep 17 00:00:00 2001
From: Zhen Li <zhenlineo@users.noreply.github.com>
Date: Sun, 30 Jul 2023 10:58:29 +0900
Subject: [PATCH 099/986] [SPARK-43744][CONNECT][FOLLOW-UP] Throw error from
 the constructor

### What changes were proposed in this pull request?
Made the stub constructor to throw ClassNotFoundException if called.
A tiny improvement to not recreate class loaders in executor if stubbing is not enabled.

### Why are the changes needed?
Enhancement to https://github.com/apache/spark/pull/42069
Should be merged to 3.5.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit tests.

Closes #42222 from zhenlineo/error-from-constuctor.

Authored-by: Zhen Li <zhenlineo@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5df1d79f22420734d3677b8aef03c46594b428e2)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../SparkConnectArtifactManager.scala         |  6 ++---
 .../artifact/StubClassLoaderSuite.scala       | 15 ++++++++++++
 .../org/apache/spark/executor/Executor.scala  | 23 +++++++++++--------
 .../spark/internal/config/package.scala       |  4 ++--
 .../apache/spark/util/StubClassLoader.scala   | 18 +++++++++++++--
 5 files changed, 50 insertions(+), 16 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
index 03391cef68b0e..c1dd7820c55f0 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
@@ -31,7 +31,7 @@ import org.apache.hadoop.fs.{LocalFileSystem, Path => FSPath}
 
 import org.apache.spark.{JobArtifactSet, JobArtifactState, SparkContext, SparkEnv}
 import org.apache.spark.internal.Logging
-import org.apache.spark.internal.config.CONNECT_SCALA_UDF_STUB_CLASSES
+import org.apache.spark.internal.config.CONNECT_SCALA_UDF_STUB_PREFIXES
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.util.ArtifactUtils
 import org.apache.spark.sql.connect.config.Connect.CONNECT_COPY_FROM_LOCAL_TO_FS_ALLOW_DEST_LOCAL
@@ -162,9 +162,9 @@ class SparkConnectArtifactManager(sessionHolder: SessionHolder) extends Logging
    */
   def classloader: ClassLoader = {
     val urls = getSparkConnectAddedJars :+ classDir.toUri.toURL
-    val loader = if (SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_CLASSES).nonEmpty) {
+    val loader = if (SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES).nonEmpty) {
       val stubClassLoader =
-        StubClassLoader(null, SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_CLASSES))
+        StubClassLoader(null, SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES))
       new ChildFirstURLClassLoader(
         urls.toArray,
         stubClassLoader,
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
index 0f6e05431518f..bde9a71fa17e6 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/artifact/StubClassLoaderSuite.scala
@@ -55,6 +55,21 @@ class StubClassLoaderSuite extends SparkFunSuite {
     }
   }
 
+  test("call stub class default constructor") {
+    val cl = new RecordedStubClassLoader(getClass().getClassLoader(), _ => true)
+    // scalastyle:off classforname
+    val cls = Class.forName("my.name.HelloWorld", false, cl)
+    // scalastyle:on classforname
+    assert(cl.lastStubbed === "my.name.HelloWorld")
+    val error = intercept[java.lang.reflect.InvocationTargetException] {
+      cls.getDeclaredConstructor().newInstance()
+    }
+    assert(
+      error.getCause != null && error.getCause.getMessage.contains(
+        "Fail to initiate the class my.name.HelloWorld because it is stubbed"),
+      error)
+  }
+
   test("stub missing class") {
     val sysClassLoader = getClass.getClassLoader()
     val stubClassLoader = new RecordedStubClassLoader(null, _ => true)
diff --git a/core/src/main/scala/org/apache/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala
index 9327ea4d3dd75..1b7bb8af79a90 100644
--- a/core/src/main/scala/org/apache/spark/executor/Executor.scala
+++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala
@@ -174,7 +174,8 @@ private[spark] class Executor(
     val currentFiles = new HashMap[String, Long]
     val currentJars = new HashMap[String, Long]
     val currentArchives = new HashMap[String, Long]
-    val urlClassLoader = createClassLoader(currentJars, !isDefaultState(jobArtifactState.uuid))
+    val urlClassLoader =
+      createClassLoader(currentJars, isStubbingEnabledForState(jobArtifactState.uuid))
     val replClassLoader = addReplClassLoaderIfNeeded(
       urlClassLoader, jobArtifactState.replClassDirUri, jobArtifactState.uuid)
     new IsolatedSessionState(
@@ -186,6 +187,11 @@ private[spark] class Executor(
     )
   }
 
+  private def isStubbingEnabledForState(name: String) = {
+    !isDefaultState(name) &&
+      conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES).nonEmpty
+  }
+
   private def isDefaultState(name: String) = name == "default"
 
   // Classloader isolation
@@ -1031,8 +1037,8 @@ private[spark] class Executor(
       urls.mkString("'", ",", "'")
     )
 
-    if (useStub && conf.get(CONNECT_SCALA_UDF_STUB_CLASSES).nonEmpty) {
-      createClassLoaderWithStub(urls, conf.get(CONNECT_SCALA_UDF_STUB_CLASSES))
+    if (useStub) {
+      createClassLoaderWithStub(urls, conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES))
     } else {
       createClassLoader(urls)
     }
@@ -1093,7 +1099,7 @@ private[spark] class Executor(
       state: IsolatedSessionState,
       testStartLatch: Option[CountDownLatch] = None,
       testEndLatch: Option[CountDownLatch] = None): Unit = {
-    var updated = false;
+    var renewClassLoader = false;
     lazy val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf)
     updateDependenciesLock.lockInterruptibly()
     try {
@@ -1149,15 +1155,14 @@ private[spark] class Executor(
           if (!state.urlClassLoader.getURLs().contains(url)) {
             logInfo(s"Adding $url to class loader ${state.sessionUUID}")
             state.urlClassLoader.addURL(url)
-            if (!isDefaultState(state.sessionUUID)) {
-              updated = true
+            if (isStubbingEnabledForState(state.sessionUUID)) {
+              renewClassLoader = true
             }
           }
         }
       }
-      if (updated) {
-        // When a new url is added for non-default class loader, recreate the class loader
-        // to ensure all classes are updated.
+      if (renewClassLoader) {
+        // Recreate the class loader to ensure all classes are updated.
         state.urlClassLoader = createClassLoader(state.urlClassLoader.getURLs, useStub = true)
         state.replClassLoader =
           addReplClassLoaderIfNeeded(state.urlClassLoader, state.replClassDirUri, state.sessionUUID)
diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index c05f9328f751d..600cbf151e17b 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -2541,8 +2541,8 @@ package object config {
       .booleanConf
       .createWithDefault(false)
 
-  private[spark] val CONNECT_SCALA_UDF_STUB_CLASSES =
-    ConfigBuilder("spark.connect.scalaUdf.stubClasses")
+  private[spark] val CONNECT_SCALA_UDF_STUB_PREFIXES =
+    ConfigBuilder("spark.connect.scalaUdf.stubPrefixes")
       .internal()
       .doc("""
           |Comma-separated list of binary names of classes/packages that should be stubbed during
diff --git a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
index a0bc753f48875..e27376e2b83d8 100644
--- a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
+++ b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
@@ -70,8 +70,22 @@ object StubClassLoader {
       "()V",
       false)
 
-    ctorWriter.visitInsn(Opcodes.RETURN)
-    ctorWriter.visitMaxs(1, 1)
+    val internalException: String = "java/lang/ClassNotFoundException"
+    ctorWriter.visitTypeInsn(Opcodes.NEW, internalException)
+    ctorWriter.visitInsn(Opcodes.DUP)
+    ctorWriter.visitLdcInsn(
+      s"Fail to initiate the class $binaryName because it is stubbed. " +
+        "Please install the artifact of the missing class by calling session.addArtifact.")
+    // Invoke throwable constructor
+    ctorWriter.visitMethodInsn(
+      Opcodes.INVOKESPECIAL,
+      internalException,
+      "<init>",
+      "(Ljava/lang/String;)V",
+      false)
+
+    ctorWriter.visitInsn(Opcodes.ATHROW)
+    ctorWriter.visitMaxs(3, 3)
     ctorWriter.visitEnd()
     classWriter.visitEnd()
     classWriter.toByteArray

From 4bd975fa79a82a417bc9639dcc3305f5624ac861 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Mon, 31 Jul 2023 09:03:20 +0900
Subject: [PATCH 100/986] [SPARK-44597][PYTHON][TESTS] Migrate test_sql
 assert_eq to use assertDataFrameEqual

### What changes were proposed in this pull request?
This PR updates the `python/pyspark/pandas/tests/test_sql.py` to use the new PySpark test util function, `assertDataFrameEqual`, introduced in [SPARK-44042](https://issues.apache.org/jira/browse/SPARK-44042).

### Why are the changes needed?
This change is needed as part of the effort in [SPARK-44589](https://issues.apache.org/jira/browse/SPARK-44589) to unify the tests in the codebase to use new PySpark test utils.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests in `python/pyspark/pandas/tests/test_sql.py`.

Closes #42217 from asl3/migrate-test-sql.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9f03f434358d98e87cd80228ea59f05935a37b9f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/tests/test_sql.py | 25 ++++++++++++++-----------
 1 file changed, 14 insertions(+), 11 deletions(-)

diff --git a/python/pyspark/pandas/tests/test_sql.py b/python/pyspark/pandas/tests/test_sql.py
index ec56fe210f9fc..7800d5756b04e 100644
--- a/python/pyspark/pandas/tests/test_sql.py
+++ b/python/pyspark/pandas/tests/test_sql.py
@@ -19,6 +19,7 @@
 from pyspark.errors import ParseException
 from pyspark.testing.pandasutils import PandasOnSparkTestCase
 from pyspark.testing.sqlutils import SQLTestUtils
+from pyspark.testing.utils import assertDataFrameEqual
 
 
 class SQLTestsMixin:
@@ -49,7 +50,7 @@ def test_sql_with_index_col(self):
             psdf_reset_index=psdf_reset_index,
         )
         expected = psdf.iloc[[1, 2]]
-        self.assert_eq(actual, expected)
+        assertDataFrameEqual(actual, expected)
 
         # MultiIndex
         psdf = ps.DataFrame(
@@ -65,27 +66,29 @@ def test_sql_with_index_col(self):
             psdf_reset_index=psdf_reset_index,
         )
         expected = psdf.iloc[[1, 2]]
-        self.assert_eq(actual, expected)
+        assertDataFrameEqual(actual, expected)
 
     def test_sql_with_pandas_objects(self):
         import pandas as pd
 
         pdf = pd.DataFrame({"a": [1, 2, 3, 4]})
-        self.assert_eq(ps.sql("SELECT {col} + 1 as a FROM {tbl}", col=pdf.a, tbl=pdf), pdf + 1)
+        assertDataFrameEqual(
+            ps.sql("SELECT {col} + 1 as a FROM {tbl}", col=pdf.a, tbl=pdf), pdf + 1
+        )
 
     def test_sql_with_python_objects(self):
-        self.assert_eq(
+        assertDataFrameEqual(
             ps.sql("SELECT {col} as a FROM range(1)", col="lit"), ps.DataFrame({"a": ["lit"]})
         )
-        self.assert_eq(
+        assertDataFrameEqual(
             ps.sql("SELECT id FROM range(10) WHERE id IN {pred}", col="lit", pred=(1, 2, 3)),
             ps.DataFrame({"id": [1, 2, 3]}),
         )
-        self.assert_eq(
+        assertDataFrameEqual(
             ps.sql("SELECT {col} as a FROM range(1)", col="a'''c''d"),
             ps.DataFrame({"a": ["a'''c''d"]}),
         )
-        self.assert_eq(
+        assertDataFrameEqual(
             ps.sql("SELECT id FROM range(10) WHERE id IN {pred}", col="a'''c''d", pred=(1, 2, 3)),
             ps.DataFrame({"id": [1, 2, 3]}),
         )
@@ -93,14 +96,14 @@ def test_sql_with_python_objects(self):
     def test_sql_with_pandas_on_spark_objects(self):
         psdf = ps.DataFrame({"a": [1, 2, 3, 4]})
 
-        self.assert_eq(ps.sql("SELECT {col} FROM {tbl}", col=psdf.a, tbl=psdf), psdf)
-        self.assert_eq(ps.sql("SELECT {tbl.a} FROM {tbl}", tbl=psdf), psdf)
+        assertDataFrameEqual(ps.sql("SELECT {col} FROM {tbl}", col=psdf.a, tbl=psdf), psdf)
+        assertDataFrameEqual(ps.sql("SELECT {tbl.a} FROM {tbl}", tbl=psdf), psdf)
 
         psdf = ps.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
-        self.assert_eq(
+        assertDataFrameEqual(
             ps.sql("SELECT {col}, {col2} FROM {tbl}", col=psdf.A, col2=psdf.B, tbl=psdf), psdf
         )
-        self.assert_eq(ps.sql("SELECT {tbl.A}, {tbl.B} FROM {tbl}", tbl=psdf), psdf)
+        assertDataFrameEqual(ps.sql("SELECT {tbl.A}, {tbl.B} FROM {tbl}", tbl=psdf), psdf)
 
 
 class SQLTests(SQLTestsMixin, PandasOnSparkTestCase, SQLTestUtils):

From 3a5b737526af8b33f7c456d73133729dc159c0f6 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 31 Jul 2023 09:16:02 +0900
Subject: [PATCH 101/986] [SPARK-44287][SQL][FOLLOWUP] Do not trigger execution
 too early

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41839 , to fix an unintentional change. That PR added an optimization to return an empty iterator directly if the input iterator is empty. However, checking `inputIterator.hasNext` may trigger query execution, which is different than before. It should be completely lazy and wait for the root operator's iterator to trigger the execution.

### Why are the changes needed?

fix unintentional change

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

Closes #42226 from cloud-fan/fo.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 0f9cca5b419b09f25c45904aa81bf0515f9e7c44)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/ColumnarEvaluatorFactory.scala  | 57 +++++++++----------
 1 file changed, 26 insertions(+), 31 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ColumnarEvaluatorFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ColumnarEvaluatorFactory.scala
index 949722d3cc267..960d4b74a1b95 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ColumnarEvaluatorFactory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ColumnarEvaluatorFactory.scala
@@ -70,42 +70,37 @@ class RowToColumnarEvaluatorFactory(
         inputs: Iterator[InternalRow]*): Iterator[ColumnarBatch] = {
       assert(inputs.length == 1)
       val rowIterator = inputs.head
+      new Iterator[ColumnarBatch] {
+        private lazy val converters = new RowToColumnConverter(schema)
+        private lazy val vectors: Seq[WritableColumnVector] = if (enableOffHeapColumnVector) {
+          OffHeapColumnVector.allocateColumns(numRows, schema)
+        } else {
+          OnHeapColumnVector.allocateColumns(numRows, schema)
+        }
+        private lazy val cb: ColumnarBatch = new ColumnarBatch(vectors.toArray)
 
-      if (rowIterator.hasNext) {
-        new Iterator[ColumnarBatch] {
-          private val converters = new RowToColumnConverter(schema)
-          private val vectors: Seq[WritableColumnVector] = if (enableOffHeapColumnVector) {
-            OffHeapColumnVector.allocateColumns(numRows, schema)
-          } else {
-            OnHeapColumnVector.allocateColumns(numRows, schema)
-          }
-          private val cb: ColumnarBatch = new ColumnarBatch(vectors.toArray)
-
-          TaskContext.get().addTaskCompletionListener[Unit] { _ =>
-            cb.close()
-          }
+        TaskContext.get().addTaskCompletionListener[Unit] { _ =>
+          cb.close()
+        }
 
-          override def hasNext: Boolean = {
-            rowIterator.hasNext
-          }
+        override def hasNext: Boolean = {
+          rowIterator.hasNext
+        }
 
-          override def next(): ColumnarBatch = {
-            cb.setNumRows(0)
-            vectors.foreach(_.reset())
-            var rowCount = 0
-            while (rowCount < numRows && rowIterator.hasNext) {
-              val row = rowIterator.next()
-              converters.convert(row, vectors.toArray)
-              rowCount += 1
-            }
-            cb.setNumRows(rowCount)
-            numInputRows += rowCount
-            numOutputBatches += 1
-            cb
+        override def next(): ColumnarBatch = {
+          cb.setNumRows(0)
+          vectors.foreach(_.reset())
+          var rowCount = 0
+          while (rowCount < numRows && rowIterator.hasNext) {
+            val row = rowIterator.next()
+            converters.convert(row, vectors.toArray)
+            rowCount += 1
           }
+          cb.setNumRows(rowCount)
+          numInputRows += rowCount
+          numOutputBatches += 1
+          cb
         }
-      } else {
-        Iterator.empty
       }
     }
   }

From 30efbfdcc8c237c536a2320a688675f4e69bb075 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Mon, 31 Jul 2023 09:39:13 +0900
Subject: [PATCH 102/986] [SPARK-44587][SQL][CONNECT] Increase protobuf
 marshaller recursion limit

- Use customized marshallers for spark connect grpc methods
- Increase Protobuf marshaller recursion limit

- Nested DFs fail easily

No

`build/sbt "connect-client-jvm/testOnly *ClientE2ETestSuite"`

Closes #42212 from heyihong/SPARK-44587-2.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 55391f633a43113bdd36b5720f5a5f6d6a9daed8)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/ClientE2ETestSuite.scala |  8 +++
 .../spark/sql/connect/config/Connect.scala    | 10 ++++
 .../connect/service/SparkConnectService.scala | 60 +++++++++++++++++--
 3 files changed, 72 insertions(+), 6 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 36f47cc1fba6e..1403d460b516f 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -43,6 +43,14 @@ import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
+  test("spark deep recursion") {
+    var df = spark.range(1)
+    for (a <- 1 to 500) {
+      df = df.union(spark.range(a, a + 1))
+    }
+    assert(df.collect().length == 501)
+  }
+
   test("many tables") {
     withSQLConf("spark.sql.execution.arrow.maxRecordsPerBatch" -> "10") {
       val numTables = 20
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 2a805c4539259..15288a65a45a4 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -56,6 +56,16 @@ object Connect {
       .bytesConf(ByteUnit.BYTE)
       .createWithDefault(ConnectCommon.CONNECT_GRPC_MAX_MESSAGE_SIZE)
 
+  val CONNECT_GRPC_MARSHALLER_RECURSION_LIMIT =
+    ConfigBuilder("spark.connect.grpc.marshallerRecursionLimit")
+      .internal()
+      .doc("""
+          |Sets the recursion limit to grpc protobuf messages.
+          |""".stripMargin)
+      .version("3.5.0")
+      .intConf
+      .createWithDefault(1024)
+
   val CONNECT_EXTENSIONS_RELATION_CLASSES =
     ConfigBuilder("spark.connect.extensions.relation.classes")
       .doc("""
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 121d2accf6b10..35a9df82d30fb 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -20,21 +20,27 @@ package org.apache.spark.sql.connect.service
 import java.util.UUID
 import java.util.concurrent.TimeUnit
 
+import scala.jdk.CollectionConverters._
+
 import com.google.common.base.Ticker
 import com.google.common.cache.{CacheBuilder, RemovalListener, RemovalNotification}
-import io.grpc.Server
+import com.google.protobuf.MessageLite
+import io.grpc.{BindableService, MethodDescriptor, Server, ServerMethodDefinition, ServerServiceDefinition}
+import io.grpc.MethodDescriptor.PrototypeMarshaller
 import io.grpc.netty.NettyServerBuilder
+import io.grpc.protobuf.lite.ProtoLiteUtils
 import io.grpc.protobuf.services.ProtoReflectionService
 import io.grpc.stub.StreamObserver
 import org.apache.commons.lang3.StringUtils
 
 import org.apache.spark.{SparkContext, SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
-import org.apache.spark.connect.proto.{AddArtifactsRequest, AddArtifactsResponse}
+import org.apache.spark.connect.proto.{AddArtifactsRequest, AddArtifactsResponse, SparkConnectServiceGrpc}
+import org.apache.spark.connect.proto.SparkConnectServiceGrpc.AsyncService
 import org.apache.spark.internal.Logging
 import org.apache.spark.internal.config.UI.UI_ENABLED
 import org.apache.spark.sql.SparkSession
-import org.apache.spark.sql.connect.config.Connect.{CONNECT_GRPC_BINDING_PORT, CONNECT_GRPC_MAX_INBOUND_MESSAGE_SIZE}
+import org.apache.spark.sql.connect.config.Connect.{CONNECT_GRPC_BINDING_PORT, CONNECT_GRPC_MARSHALLER_RECURSION_LIMIT, CONNECT_GRPC_MAX_INBOUND_MESSAGE_SIZE}
 import org.apache.spark.sql.connect.ui.{SparkConnectServerAppStatusStore, SparkConnectServerListener, SparkConnectServerTab}
 import org.apache.spark.sql.connect.utils.ErrorUtils
 import org.apache.spark.status.ElementTrackingStore
@@ -47,9 +53,7 @@ import org.apache.spark.status.ElementTrackingStore
  * @param debug
  *   delegates debug behavior to the handlers.
  */
-class SparkConnectService(debug: Boolean)
-    extends proto.SparkConnectServiceGrpc.SparkConnectServiceImplBase
-    with Logging {
+class SparkConnectService(debug: Boolean) extends AsyncService with BindableService with Logging {
 
   /**
    * This is the main entry method for Spark Connect and all calls to execute a plan.
@@ -163,6 +167,50 @@ class SparkConnectService(debug: Boolean)
         userId = request.getUserContext.getUserId,
         sessionId = request.getSessionId)
   }
+
+  private def methodWithCustomMarshallers(methodDesc: MethodDescriptor[MessageLite, MessageLite])
+      : MethodDescriptor[MessageLite, MessageLite] = {
+    val recursionLimit =
+      SparkEnv.get.conf.get(CONNECT_GRPC_MARSHALLER_RECURSION_LIMIT)
+    val requestMarshaller =
+      ProtoLiteUtils.marshallerWithRecursionLimit(
+        methodDesc.getRequestMarshaller
+          .asInstanceOf[PrototypeMarshaller[MessageLite]]
+          .getMessagePrototype,
+        recursionLimit)
+    val responseMarshaller =
+      ProtoLiteUtils.marshallerWithRecursionLimit(
+        methodDesc.getResponseMarshaller
+          .asInstanceOf[PrototypeMarshaller[MessageLite]]
+          .getMessagePrototype,
+        recursionLimit)
+    methodDesc.toBuilder
+      .setRequestMarshaller(requestMarshaller)
+      .setResponseMarshaller(responseMarshaller)
+      .build()
+  }
+
+  override def bindService(): ServerServiceDefinition = {
+    // First, get the SparkConnectService ServerServiceDefinition.
+    val serviceDef = SparkConnectServiceGrpc.bindService(this)
+
+    // Create a new ServerServiceDefinition builder
+    // using the name of the original service definition.
+    val builder = io.grpc.ServerServiceDefinition.builder(serviceDef.getServiceDescriptor.getName)
+
+    // Iterate through all the methods of the original service definition.
+    // For each method, add a customized method descriptor (with updated marshallers)
+    // and the original server call handler to the builder.
+    serviceDef.getMethods.asScala
+      .asInstanceOf[Iterable[ServerMethodDefinition[MessageLite, MessageLite]]]
+      .foreach(method =>
+        builder.addMethod(
+          methodWithCustomMarshallers(method.getMethodDescriptor),
+          method.getServerCallHandler))
+
+    // Build the final ServerServiceDefinition and return it.
+    builder.build()
+  }
 }
 
 /**

From 4f3994c169faca6a712be3c30a62007422280093 Mon Sep 17 00:00:00 2001
From: Christopher Watford <132389385+watfordkcf@users.noreply.github.com>
Date: Mon, 31 Jul 2023 10:11:28 +0800
Subject: [PATCH 103/986] [DOCS] Update concat and concat_ws documentation to
 point out unexpected behavior

Add documentation covering unexpected behavior of concat and concat_ws with respect to null values.

### What changes were proposed in this pull request?
Adds additional documentation to `concat` and `concat_ws`.

### Why are the changes needed?
The behavior of `concat` and `concat_ws` were unexpected w.r.t. null values and the documentation did not help make their behavior clear.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?

Closes #42153 from watfordkcf/patch-1.

Lead-authored-by: Christopher Watford <132389385+watfordkcf@users.noreply.github.com>
Co-authored-by: Christopher Watford <christopher.watford@kcftech.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit ff022e54c2caedb164ce943dc628fcf607eddcdd)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/catalyst/expressions/stringExpressions.scala  | 6 +++++-
 .../src/main/scala/org/apache/spark/sql/functions.scala     | 4 ++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
index 03596ac40b181..46f8e1a9d673d 100755
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
@@ -53,13 +53,17 @@ import org.apache.spark.unsafe.types.{ByteArray, UTF8String}
  */
 // scalastyle:off line.size.limit
 @ExpressionDescription(
-  usage = "_FUNC_(sep[, str | array(str)]+) - Returns the concatenation of the strings separated by `sep`.",
+  usage = "_FUNC_(sep[, str | array(str)]+) - Returns the concatenation of the strings separated by `sep`, skipping null values.",
   examples = """
     Examples:
       > SELECT _FUNC_(' ', 'Spark', 'SQL');
         Spark SQL
       > SELECT _FUNC_('s');
 
+      > SELECT _FUNC_('/', 'foo', null, 'bar');
+        foo/bar
+      > SELECT _FUNC_(null, 'Spark', 'SQL');
+        NULL
   """,
   since = "1.5.0",
   group = "string_funcs")
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index ca5e4422ca9ca..e7e8b945d9186 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -3822,6 +3822,8 @@ object functions {
    * Concatenates multiple input string columns together into a single string column,
    * using the given separator.
    *
+   * @note Input strings which are null are skipped.
+   *
    * @group string_funcs
    * @since 1.5.0
    */
@@ -6019,6 +6021,8 @@ object functions {
    * Concatenates multiple input columns together into a single column.
    * The function works with strings, binary and compatible array columns.
    *
+   * @note Returns null if any of the input columns are null.
+   *
    * @group collection_funcs
    * @since 1.5.0
    */

From 455ffd3527ba572d867b6d331cbac217f34eb3e0 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 31 Jul 2023 11:40:21 +0900
Subject: [PATCH 104/986] [MINOR][TESTS] Rename ArrowParityTests to
 JobCancellationTests

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/42120 that fixes the test class name from `ArrowParityTests` to `JobCancellationTests`.

### Why are the changes needed?

The test class name doesn't make sense. It tests job cancellation.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing unittests should be good enough.

Closes #42229 from HyukjinKwon/minor-rename.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit af6e1775185bf8f400215a636e4c7a133683700a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/connect/test_session.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/connect/test_session.py b/python/pyspark/sql/tests/connect/test_session.py
index 0482f119d63bc..131b1b853ac79 100644
--- a/python/pyspark/sql/tests/connect/test_session.py
+++ b/python/pyspark/sql/tests/connect/test_session.py
@@ -77,7 +77,7 @@ def test_session_create_sets_active_session(self):
         session.stop()
 
 
-class ArrowParityTests(ReusedConnectTestCase):
+class JobCancellationTests(ReusedConnectTestCase):
     def test_tags(self):
         self.spark.clearTags()
         self.spark.addTag("a")

From 47224b39f6c937cadf5946870a4dc8d0dabdfa40 Mon Sep 17 00:00:00 2001
From: Xianjin <xianjin@apache.org>
Date: Sun, 30 Jul 2023 22:12:39 -0500
Subject: [PATCH 105/986] [SPARK-44542][CORE] Eagerly load SparkExitCode class
 in exception handler

### What changes were proposed in this pull request?
1. eagerly load SparkExitCode class in the the SparkUncaughtExceptionHandler

### Why are the changes needed?
In some extreme case, it's possible for SparkUncaughtExceptionHandler's exit/halt process function calls throw
an exception if the SparkExitCode is not loaded earlier, See corresponding jira: [SPARK-44542](https://issues.apache.org/jira/browse/SPARK-44542) for more details.

By eagerly load SparkExitCode class, we can make sure at least the halt/exit would work properly.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No logic change, hence no new UTs.

Closes #42195 from advancedxy/SPARK-44542.

Authored-by: Xianjin <xianjin@apache.org>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 32498b390db99c9451b14c643456437a023c0d93)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 .../apache/spark/util/SparkUncaughtExceptionHandler.scala   | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/util/SparkUncaughtExceptionHandler.scala b/core/src/main/scala/org/apache/spark/util/SparkUncaughtExceptionHandler.scala
index e77128755363d..b24129eb36971 100644
--- a/core/src/main/scala/org/apache/spark/util/SparkUncaughtExceptionHandler.scala
+++ b/core/src/main/scala/org/apache/spark/util/SparkUncaughtExceptionHandler.scala
@@ -28,6 +28,12 @@ import org.apache.spark.internal.Logging
 private[spark] class SparkUncaughtExceptionHandler(val exitOnUncaughtException: Boolean = true)
   extends Thread.UncaughtExceptionHandler with Logging {
 
+  locally {
+    // eagerly load SparkExitCode class, so the System.exit and runtime.halt have a chance to be
+    // executed when the disk containing Spark jars is corrupted. See SPARK-44542 for more details.
+    val _ = SparkExitCode.OOM
+  }
+
   override def uncaughtException(thread: Thread, exception: Throwable): Unit = {
     try {
       // Make it explicit that uncaught exceptions are thrown when container is shutting down.

From ee3ddf8536ccf822d8c8e975872658a7ff15666d Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Mon, 31 Jul 2023 20:59:23 +0800
Subject: [PATCH 106/986] [SPARK-44340][SQL][FOLLOWUP][3.5] Set partition index
 correctly for WindowGroupLimitExec

### What changes were proposed in this pull request?
This is a followup of https://github.com/apache/spark/pull/41899, to set the partition index correctly even if it's not used for now. It also contains a few code cleanup.

### Why are the changes needed?
future-proof

### Does this PR introduce _any_ user-facing change?
'No'.

### How was this patch tested?
existing tests

Closes #42233 from beliefer/SPARK-44340_followup_3.5.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/execution/window/WindowGroupLimitExec.scala | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
index 98969f60c2b43..e975f3b219aeb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowGroupLimitExec.scala
@@ -72,8 +72,6 @@ case class WindowGroupLimitExec(
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"))
 
   protected override def doExecute(): RDD[InternalRow] = {
-    val numOutputRows = longMetric("numOutputRows")
-
     val evaluatorFactory =
       new WindowGroupLimitEvaluatorFactory(
         partitionSpec,
@@ -81,14 +79,14 @@ case class WindowGroupLimitExec(
         rankLikeFunction,
         limit,
         child.output,
-        numOutputRows)
+        longMetric("numOutputRows"))
 
     if (conf.usePartitionEvaluator) {
       child.execute().mapPartitionsWithEvaluator(evaluatorFactory)
     } else {
-      child.execute().mapPartitionsInternal { iter =>
+      child.execute().mapPartitionsWithIndexInternal { (index, rowIterator) =>
         val evaluator = evaluatorFactory.createEvaluator()
-        evaluator.eval(0, iter)
+        evaluator.eval(index, rowIterator)
       }
     }
   }

From fab48fee86da6b6d367adf34154a905482dd7d0d Mon Sep 17 00:00:00 2001
From: vicennial <venkata.gudesa@databricks.com>
Date: Mon, 31 Jul 2023 12:59:18 -0400
Subject: [PATCH 107/986] [SPARK-43997][CONNECT] Add support for Java UDFs

### What changes were proposed in this pull request?

Adds support for a user to define, register and use Java UDFs. The following APIs are included in this PR:

- `def udf(f: UDF4[_, _, _, _, _], returnType: DataType): UserDefinedFunction` for [0-10] arguments.
- `def register(name: String, f: UDF4[_, _, _, _, _], returnType: DataType): Unit` for [0-22] arguments.

### Why are the changes needed?

To reach parity with classic Spark.

### Does this PR introduce _any_ user-facing change?

Yes. A user can now define, register and use Java UDFs. Refer to the following examples (demonstrated in scala for simplicity)

```scala
import org.apache.spark.sql.api.java._
import org.apache.spark.sql.types.LongType

spark.udf.register("javaUdf", new UDF1[Long, Long] {
  override def call(num: Long): Long = num * num * num + 250L
}, LongType)
spark.sql("select javaUdf(id) from range(5)").as[Long].collect()
```

The output:
```scala
Array[Long] = Array(250L, 251L, 258L, 277L, 314L)
```
### How was this patch tested?

E2E tests in `ReplE2ESuite`

Closes #42225 from vicennial/javaUdfApi.

Authored-by: vicennial <venkata.gudesa@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 24f9b26cb1081608ccf58e0eb57e8de278d4f66f)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../apache/spark/sql/UDFRegistration.scala    | 266 +++++++++++
 .../sql/expressions/UserDefinedFunction.scala |  10 +-
 .../org/apache/spark/sql/functions.scala      | 151 ++++++
 .../spark/sql/application/ReplE2ESuite.scala  |  30 ++
 .../spark/sql/connect/common/UdfUtils.scala   | 447 ++++++++++++++++++
 dev/checkstyle-suppressions.xml               |   2 +
 project/MimaExcludes.scala                    |   3 +
 .../org/apache/spark/sql/api/java/UDF0.java   |   0
 .../org/apache/spark/sql/api/java/UDF1.java   |   0
 .../org/apache/spark/sql/api/java/UDF10.java  |   0
 .../org/apache/spark/sql/api/java/UDF11.java  |   0
 .../org/apache/spark/sql/api/java/UDF12.java  |   0
 .../org/apache/spark/sql/api/java/UDF13.java  |   0
 .../org/apache/spark/sql/api/java/UDF14.java  |   0
 .../org/apache/spark/sql/api/java/UDF15.java  |   0
 .../org/apache/spark/sql/api/java/UDF16.java  |   0
 .../org/apache/spark/sql/api/java/UDF17.java  |   0
 .../org/apache/spark/sql/api/java/UDF18.java  |   0
 .../org/apache/spark/sql/api/java/UDF19.java  |   0
 .../org/apache/spark/sql/api/java/UDF2.java   |   0
 .../org/apache/spark/sql/api/java/UDF20.java  |   0
 .../org/apache/spark/sql/api/java/UDF21.java  |   0
 .../org/apache/spark/sql/api/java/UDF22.java  |   0
 .../org/apache/spark/sql/api/java/UDF3.java   |   0
 .../org/apache/spark/sql/api/java/UDF4.java   |   0
 .../org/apache/spark/sql/api/java/UDF5.java   |   0
 .../org/apache/spark/sql/api/java/UDF6.java   |   0
 .../org/apache/spark/sql/api/java/UDF7.java   |   0
 .../org/apache/spark/sql/api/java/UDF8.java   |   0
 .../org/apache/spark/sql/api/java/UDF9.java   |   0
 .../spark/sql/api/java/package-info.java      |   0
 .../sql/catalyst/encoders/RowEncoder.scala    |   2 +-
 32 files changed, 909 insertions(+), 2 deletions(-)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF0.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF1.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF10.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF11.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF12.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF13.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF14.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF15.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF16.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF17.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF18.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF19.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF2.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF20.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF21.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF22.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF3.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF4.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF5.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF6.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF7.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF8.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/UDF9.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/api/java/package-info.java (100%)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/UDFRegistration.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/UDFRegistration.scala
index 426709b8f1867..2e8211a0966e7 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/UDFRegistration.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/UDFRegistration.scala
@@ -20,7 +20,10 @@ package org.apache.spark.sql
 import scala.reflect.runtime.universe.{typeTag, TypeTag}
 
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.api.java._
+import org.apache.spark.sql.connect.common.UdfUtils
 import org.apache.spark.sql.expressions.{ScalarUserDefinedFunction, UserDefinedFunction}
+import org.apache.spark.sql.types.DataType
 
 /**
  * Functions for registering user-defined functions. Use `SparkSession.udf` to access this:
@@ -1024,5 +1027,268 @@ class UDFRegistration(session: SparkSession) extends Logging {
       typeTag[A22])
     register(name, udf)
   }
+
+  //  (0 to 22).foreach { i =>
+  //    val extTypeArgs = (0 to i).map(_ => "_").mkString(", ")
+  //    val version = "3.5.0"
+  //    println(s"""
+  //               |/**
+  //               | * Register a deterministic Java UDF$i instance as user-defined function (UDF).
+  //               | * @since $version
+  //               | */
+  //               |def register(name: String, f: UDF$i[$extTypeArgs], returnType: DataType): Unit = {
+  //               |  val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  //               |  register(name, udf)
+  //               |}""".stripMargin)
+  //  }
+
+  /**
+   * Register a deterministic Java UDF0 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF0[_], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF1 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF1[_, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF2 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF2[_, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF3 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF3[_, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF4 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF4[_, _, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF5 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF5[_, _, _, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF6 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF6[_, _, _, _, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF7 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF7[_, _, _, _, _, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF8 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(name: String, f: UDF8[_, _, _, _, _, _, _, _, _], returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF9 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF9[_, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF10 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF10[_, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF11 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF11[_, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF12 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF12[_, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF13 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF13[_, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF14 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF14[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF15 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF15[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF16 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF16[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF17 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF17[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF18 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF18[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF19 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF19[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF20 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF20[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF21 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF21[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
+
+  /**
+   * Register a deterministic Java UDF22 instance as user-defined function (UDF).
+   * @since 3.5.0
+   */
+  def register(
+      name: String,
+      f: UDF22[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): Unit = {
+    val udf = ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+    register(name, udf)
+  }
   // scalastyle:on line.size.limit
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
index e5c89d90c19b5..3a38029c265c2 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
@@ -24,8 +24,9 @@ import com.google.protobuf.ByteString
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.Column
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, RowEncoder}
 import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, UdfPacket}
+import org.apache.spark.sql.types.DataType
 import org.apache.spark.util.SparkSerDeUtils
 
 /**
@@ -171,4 +172,11 @@ object ScalarUserDefinedFunction {
       nullable = true,
       deterministic = true)
   }
+
+  private[sql] def apply(function: AnyRef, returnType: DataType): ScalarUserDefinedFunction = {
+    ScalarUserDefinedFunction(
+      function = function,
+      inputEncoders = Seq.empty[AgnosticEncoder[_]],
+      outputEncoder = RowEncoder.encoderForDataType(returnType, lenient = false))
+  }
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index eac3f6523204a..89bfc99817948 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -22,8 +22,10 @@ import scala.collection.JavaConverters._
 import scala.reflect.runtime.universe.{typeTag, TypeTag}
 
 import org.apache.spark.connect.proto
+import org.apache.spark.sql.api.java._
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.PrimitiveLongEncoder
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter._
+import org.apache.spark.sql.connect.common.UdfUtils
 import org.apache.spark.sql.expressions.{ScalarUserDefinedFunction, UserDefinedFunction}
 import org.apache.spark.sql.types.{DataType, StructType}
 import org.apache.spark.sql.types.DataType.parseTypeWithFallback
@@ -7903,6 +7905,155 @@ object functions {
       typeTag[A9],
       typeTag[A10])
   }
+
+  //////////////////////////////////////////////////////////////////////////////////////////////
+  // Java UDF functions
+  //////////////////////////////////////////////////////////////////////////////////////////////
+
+  /**
+   * Defines a Java UDF0 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF0[_], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF1 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF1[_, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF2 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF2[_, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF3 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF3[_, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF4 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF4[_, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF5 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF5[_, _, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF6 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF6[_, _, _, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF7 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF7[_, _, _, _, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF8 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF8[_, _, _, _, _, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF9 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(f: UDF9[_, _, _, _, _, _, _, _, _, _], returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
+
+  /**
+   * Defines a Java UDF10 instance as user-defined function (UDF). The caller must specify the
+   * output data type, and there is no automatic input type coercion. By default the returned UDF
+   * is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  def udf(
+      f: UDF10[_, _, _, _, _, _, _, _, _, _, _],
+      returnType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(UdfUtils.wrap(f), returnType)
+  }
   // scalastyle:off line.size.limit
 
   /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index ad2ca383e4f1b..0c19b8b7df161 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -207,6 +207,36 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     // scalastyle:on classforname line.size.limit
   }
 
+  test("Java UDF") {
+    val input =
+      """
+        |import org.apache.spark.sql.api.java._
+        |import org.apache.spark.sql.types.LongType
+        |
+        |val javaUdf = udf(new UDF1[Long, Long] {
+        |  override def call(num: Long): Long = num * num + 25L
+        |}, LongType).asNondeterministic()
+        |spark.range(5).select(javaUdf(col("id"))).as[Long].collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[Long] = Array(25L, 26L, 29L, 34L, 41L)", output)
+  }
+
+  test("Java UDF Registration") {
+    val input =
+      """
+        |import org.apache.spark.sql.api.java._
+        |import org.apache.spark.sql.types.LongType
+        |
+        |spark.udf.register("javaUdf", new UDF1[Long, Long] {
+        |  override def call(num: Long): Long = num * num * num + 250L
+        |}, LongType)
+        |spark.sql("select javaUdf(id) from range(5)").as[Long].collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[Long] = Array(250L, 251L, 258L, 277L, 314L)", output)
+  }
+
   test("UDF Registration") {
     // TODO SPARK-44449 make this long again when upcasting is in.
     val input = """
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
index 883637ff86c13..ceacc595d15f4 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
@@ -20,6 +20,7 @@ import scala.collection.JavaConverters._
 
 import org.apache.spark.api.java.function._
 import org.apache.spark.sql.Row
+import org.apache.spark.sql.api.java._
 import org.apache.spark.sql.streaming.GroupState
 
 /**
@@ -126,4 +127,450 @@ private[sql] object UdfUtils extends Serializable {
   def identical[T](): T => T = t => t
 
   def noOp[V, K](): V => K = _ => null.asInstanceOf[K]
+
+  //  (1 to 22).foreach { i =>
+  //    val extTypeArgs = (0 to i).map(_ => "_").mkString(", ")
+  //    val anyTypeArgs = (0 to i).map(_ => "Any").mkString(", ")
+  //    val anyCast = s".asInstanceOf[UDF$i[$anyTypeArgs]]"
+  //    val anyParams = (1 to i).map(_ => "_: Any").mkString(", ")
+  //    println(s"""
+  //               |def wrap(f: UDF$i[$extTypeArgs]): AnyRef = {
+  //               |  f$anyCast.call($anyParams)
+  //               |}""".stripMargin)
+  //  }
+
+  def wrap(f: UDF0[_]): AnyRef = { () =>
+    f.asInstanceOf[UDF0[Any]].call()
+  }
+
+  def wrap(f: UDF1[_, _]): AnyRef = {
+    f.asInstanceOf[UDF1[Any, Any]].call(_: Any)
+  }
+
+  def wrap(f: UDF2[_, _, _]): AnyRef = {
+    f.asInstanceOf[UDF2[Any, Any, Any]].call(_: Any, _: Any)
+  }
+
+  def wrap(f: UDF3[_, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF3[Any, Any, Any, Any]].call(_: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF4[_, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF4[Any, Any, Any, Any, Any]].call(_: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF5[_, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF5[Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF6[_, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF6[Any, Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF7[_, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF7[Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF8[_, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF8[Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF9[_, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF9[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF10[_, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF10[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(_: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any, _: Any)
+  }
+
+  def wrap(f: UDF11[_, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF11[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF12[_, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF12[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF13[_, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF13[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF14[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[
+      UDF14[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF15[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[
+      UDF15[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF16[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[
+      UDF16[Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any, Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF17[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF17[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF18[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF18[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF19[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF19[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF20[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF20[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(f: UDF21[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF21[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
+
+  def wrap(
+      f: UDF22[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _]): AnyRef = {
+    f.asInstanceOf[UDF22[
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any,
+      Any]]
+      .call(
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any,
+        _: Any)
+  }
 }
diff --git a/dev/checkstyle-suppressions.xml b/dev/checkstyle-suppressions.xml
index 17677bee7fef0..44876fe69120d 100644
--- a/dev/checkstyle-suppressions.xml
+++ b/dev/checkstyle-suppressions.xml
@@ -60,4 +60,6 @@
               files="sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
     <suppress checks="MethodName"
               files="connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
+    <suppress checks="LineLength"
+              files="src/main/java/org/apache/spark/sql/api/java/*"/>
 </suppressions>
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index d446603b68723..6cc2033ebbebd 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -208,6 +208,9 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.VoidFunction"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.VoidFunction2"),
 
+    // SPARK-43997: UDF* classes needed by SCSC and moved to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.api.java.UDF*"),
+
     (problem: Problem) => problem match {
       case MissingClassProblem(cls) => !cls.fullName.startsWith("org.sparkproject.jpmml") &&
           !cls.fullName.startsWith("org.sparkproject.dmg.pmml")
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF0.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF0.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF0.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF0.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF1.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF1.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF1.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF1.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF10.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF10.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF10.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF10.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF11.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF11.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF11.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF11.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF12.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF12.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF12.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF12.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF13.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF13.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF13.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF13.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF14.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF14.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF14.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF14.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF15.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF15.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF15.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF15.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF16.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF16.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF16.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF16.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF17.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF17.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF17.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF17.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF18.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF18.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF18.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF18.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF19.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF19.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF19.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF19.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF2.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF2.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF2.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF2.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF20.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF20.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF20.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF20.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF21.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF21.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF21.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF21.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF22.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF22.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF22.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF22.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF3.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF3.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF3.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF3.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF4.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF4.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF4.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF4.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF5.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF5.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF5.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF5.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF6.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF6.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF6.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF6.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF7.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF7.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF7.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF7.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF8.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF8.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF8.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF8.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/UDF9.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/UDF9.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/UDF9.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/UDF9.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/api/java/package-info.java b/sql/api/src/main/java/org/apache/spark/sql/api/java/package-info.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/api/java/package-info.java
rename to sql/api/src/main/java/org/apache/spark/sql/api/java/package-info.java
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
index 7d214768fbc06..1c58367d7ac4d 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/RowEncoder.scala
@@ -67,7 +67,7 @@ object RowEncoder {
     encoderForDataType(schema, lenient).asInstanceOf[AgnosticEncoder[Row]]
   }
 
-  private[catalyst] def encoderForDataType(
+  private[sql] def encoderForDataType(
       dataType: DataType,
       lenient: Boolean): AgnosticEncoder[_] = dataType match {
     case NullType => NullEncoder

From 242ac2377ea14a62501ee7612e897cef686dadbe Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Mon, 31 Jul 2023 10:48:37 -0700
Subject: [PATCH 108/986] [SPARK-44603] Add pyspark.testing to setup.py

### What changes were proposed in this pull request?
This PR adds the pyspark.testing package to the Python setup.py file.

### Why are the changes needed?
The change ensures that the PySpark test utils are available when users pip install PySpark.

### Does this PR introduce _any_ user-facing change?
Yes, the PR allows users to use the PySpark test utils.

### How was this patch tested?
Existing tests.

Closes #42231 from asl3/testing-setup.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit 1380a3df08e9fc9d7d50bc8dd5d7abee66d92510)
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/setup.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/python/setup.py b/python/setup.py
index 3774273c42179..a0297d4f9dcfd 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -263,6 +263,7 @@ def run(self):
             "pyspark.pandas.usage_logging",
             "pyspark.python.pyspark",
             "pyspark.python.lib",
+            "pyspark.testing",
             "pyspark.data",
             "pyspark.licenses",
             "pyspark.resource",

From 999cd5fc05dbcd80d524a3d4537f5280458ddfbb Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 31 Jul 2023 11:36:59 -0700
Subject: [PATCH 109/986] [SPARK-44610][SQL] DeduplicateRelations should retain
 Alias metadata when creating a new instance

### What changes were proposed in this pull request?

This fixes a small but obvious mistake in the rule `DeduplicateRelations`. When creating a new instance of an existing Alias, we should only make it have a new exprId, and retain everything else, including metadata.

### Why are the changes needed?

To fix a potential bug. I can't found any end-to-end query that is affected by this bug, but it's wrong to lose the metadata.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

existing tests

Closes #42242 from cloud-fan/mm.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit adf009d545d73cb583694a9c171357f289cf21dd)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/catalyst/analysis/DeduplicateRelations.scala      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DeduplicateRelations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DeduplicateRelations.scala
index 1b43922de278d..8d30712af4204 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DeduplicateRelations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DeduplicateRelations.scala
@@ -312,7 +312,7 @@ object DeduplicateRelations extends Rule[LogicalPlan] {
     // in the original project list, to avoid assertion failures when rewriting attributes
     // in transformUpWithNewOutput.
     val oldAliasToNewAlias = AttributeMap(expressions.collect {
-      case a: Alias => (a.toAttribute, Alias(a.child, a.name)())
+      case a: Alias => (a.toAttribute, a.newInstance())
     })
     expressions.map {
       case a: Alias => oldAliasToNewAlias(a.toAttribute)

From 889b6e97242189607844bf6a4d99b02c7753f6e7 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Tue, 1 Aug 2023 09:00:14 +0900
Subject: [PATCH 110/986] [SPARK-44617] Support comparison between lists of
 Rows

### What changes were proposed in this pull request?
This PR adds support for the util `assertDataFrameEqual` argument `actual` to be of type list of Rows, to allow for comparison between two lists of Rows.

### Why are the changes needed?
The change is needed to allow for equality comparison between two lists of Rows, e.g. `assertDataFrameEqual(df1.collect(), df2.collect())`

### Does this PR introduce _any_ user-facing change?
Yes, this PR affects the user-facing util function `assertDataFrameEqual`.

### How was this patch tested?
Added tests to `python/pyspark/sql/tests/test_utils.py` and `python/pyspark/sql/tests/connect/test_utils.py`

Closes #42251 from asl3/list-actual-support.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit eb4152dfcd6e9ef42750e7bac5238efe641458d2)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_utils.py | 57 ++++++++++++++++++++++----
 python/pyspark/testing/utils.py        | 53 ++++++++++--------------
 2 files changed, 70 insertions(+), 40 deletions(-)

diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index 7f3c1f841645d..b7ab596880f2e 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -25,6 +25,7 @@
 )
 from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual
 from pyspark.testing.sqlutils import ReusedSQLTestCase
+from pyspark.sql import Row
 import pyspark.sql.functions as F
 from pyspark.sql.functions import to_date, unix_timestamp, from_unixtime
 from pyspark.sql.types import (
@@ -42,6 +43,7 @@
 from pyspark.sql.dataframe import DataFrame
 
 import difflib
+from typing import List, Union
 
 
 class UtilsTestsMixin:
@@ -705,7 +707,7 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                 "arg_name": "actual",
                 "actual_type": type(dict1),
             },
@@ -718,7 +720,7 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                 "arg_name": "actual",
                 "actual_type": type(dict1),
             },
@@ -1137,9 +1139,9 @@ def test_empty_no_column(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
     def test_empty_expected_list(self):
-        df1 = self.spark.range(0, 10).drop("id")
+        df1 = self.spark.range(0, 5).drop("id")
 
-        df2 = []
+        df2 = [Row(), Row(), Row(), Row(), Row()]
 
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
@@ -1182,9 +1184,7 @@ def test_special_vals(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
-    def test_list_row_equal(self):
-        from pyspark.sql import Row
-
+    def test_df_list_row_equal(self):
         df1 = self.spark.createDataFrame(
             data=[
                 (1, 3000),
@@ -1198,9 +1198,48 @@ def test_list_row_equal(self):
         assertDataFrameEqual(df1, list_of_rows, checkRowOrder=False)
         assertDataFrameEqual(df1, list_of_rows, checkRowOrder=True)
 
-    def test_list_row_unequal_schema(self):
-        from pyspark.sql import Row
+    def test_list_rows_equal(self):
+        list_of_rows1 = [Row(1, "abc", 5000), Row(2, "def", 1000)]
+        list_of_rows2 = [Row(1, "abc", 5000), Row(2, "def", 1000)]
+
+        assertDataFrameEqual(list_of_rows1, list_of_rows2, checkRowOrder=False)
+        assertDataFrameEqual(list_of_rows1, list_of_rows2, checkRowOrder=True)
+
+    def test_list_rows_unequal(self):
+        list_of_rows1 = [Row(1, "abc", 5000), Row(2, "def", 1000)]
+        list_of_rows2 = [Row(1, "abc", 5000), Row(2, "defg", 1000)]
+
+        expected_error_message = "Results do not match: "
+        percent_diff = (1 / 2) * 100
+        expected_error_message += "( %.5f %% )" % percent_diff
+
+        generated_diff = difflib.ndiff(
+            str(list_of_rows1[1]).splitlines(), str(list_of_rows2[1]).splitlines()
+        )
+        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
+        diff_msg += "********************" + "\n"
+
+        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
 
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(list_of_rows1, list_of_rows2)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_ROWS",
+            message_parameters={"error_msg": expected_error_message},
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(list_of_rows1, list_of_rows2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_ROWS",
+            message_parameters={"error_msg": expected_error_message},
+        )
+
+    def test_list_row_unequal_schema(self):
         df1 = self.spark.createDataFrame(
             data=[
                 (1, 3000),
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 9d29e3969b572..eb55255863dc6 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -315,15 +315,15 @@ def compare_datatypes_ignore_nullable(dt1: Any, dt2: Any):
 
 
 def assertDataFrameEqual(
-    actual: Union[DataFrame, ps.DataFrame],
+    actual: Union[DataFrame, ps.DataFrame, List[Row]],
     expected: Union[DataFrame, ps.DataFrame, List[Row]],
     checkRowOrder: bool = False,
     rtol: float = 1e-5,
     atol: float = 1e-8,
 ):
     r"""
-    A util function to assert equality between `actual` (DataFrame) and `expected`
-    (DataFrame or list of Rows), with optional parameters `checkRowOrder`, `rtol`, and `atol`.
+    A util function to assert equality between `actual` and `expected`
+    (DataFrames or lists of Rows), with optional parameters `checkRowOrder`, `rtol`, and `atol`.
 
     Supports Spark, Spark Connect, and pandas-on-Spark DataFrames.
     For more information about pandas-on-Spark DataFrame equality, see the docs for
@@ -333,7 +333,7 @@ def assertDataFrameEqual(
 
     Parameters
     ----------
-    actual : DataFrame (Spark, Spark Connect, or pandas-on-Spark)
+    actual : DataFrame (Spark, Spark Connect, or pandas-on-Spark) or list of Rows
         The DataFrame that is being compared or tested.
     expected : DataFrame (Spark, Spark Connect, or pandas-on-Spark) or list of Rows
         The expected result of the operation, for comparison with the actual result.
@@ -417,20 +417,20 @@ def assertDataFrameEqual(
             return assertPandasOnSparkEqual(
                 actual, expected, checkExact=False, checkRowOrder=checkRowOrder
             )
-        elif not isinstance(actual, (DataFrame, ps.DataFrame, ConnectDataFrame)):
+        elif not isinstance(actual, (DataFrame, ConnectDataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": DataFrame.__name__,
+                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                     "arg_name": "actual",
                     "actual_type": type(actual),
                 },
             )
-        elif not isinstance(expected, (DataFrame, ps.DataFrame, ConnectDataFrame, list)):
+        elif not isinstance(expected, (DataFrame, ConnectDataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": f"{DataFrame.__name__}, {List[Row].__name__}",
+                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                     "arg_name": "expected",
                     "actual_type": type(expected),
                 },
@@ -442,39 +442,25 @@ def assertDataFrameEqual(
             return assertPandasOnSparkEqual(
                 actual, expected, checkExact=False, checkRowOrder=checkRowOrder
             )
-        elif not isinstance(actual, (DataFrame, ps.DataFrame)):
+        elif not isinstance(actual, (DataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": f"{DataFrame.__name__}, {ps.DataFrame.__name__}",
+                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                     "arg_name": "actual",
                     "actual_type": type(actual),
                 },
             )
-        elif not isinstance(expected, (DataFrame, ps.DataFrame, list)):
+        elif not isinstance(expected, (DataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": f"{DataFrame.__name__}, "
-                    f"{ps.DataFrame.__name__}, "
-                    f"{List[Row].__name__}",
+                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
                     "arg_name": "expected",
                     "actual_type": type(expected),
                 },
             )
 
-    # special cases: empty datasets, datasets with 0 columns
-    if (
-        isinstance(expected, DataFrame)
-        and (
-            (actual.first() is None and expected.first() is None)
-            or (len(actual.columns) == 0 and len(expected.columns) == 0)
-        )
-        or isinstance(expected, list)
-        and ((actual.first() is None or len(actual.columns) == 0) and len(expected) == 0)
-    ):
-        return True
-
     def compare_rows(r1: Row, r2: Row):
         def compare_vals(val1, val2):
             if isinstance(val1, list) and isinstance(val2, list):
@@ -529,21 +515,26 @@ def assert_rows_equal(rows1: List[Row], rows2: List[Row]):
             )
 
     # convert actual and expected to list
-    if not isinstance(expected, List):
+    if not isinstance(actual, list) and not isinstance(expected, list):
         # only compare schema if expected is not a List
         assertSchemaEqual(actual.schema, expected.schema)
+
+    if not isinstance(actual, list):
+        actual_list = actual.collect()
+    else:
+        actual_list = actual
+
+    if not isinstance(expected, list):
         expected_list = expected.collect()
     else:
         expected_list = expected
 
-    df_list = actual.collect()
-
     if not checkRowOrder:
         # rename duplicate columns for sorting
-        df_list = sorted(df_list, key=lambda x: str(x))
+        actual_list = sorted(actual_list, key=lambda x: str(x))
         expected_list = sorted(expected_list, key=lambda x: str(x))
 
-    assert_rows_equal(df_list, expected_list)
+    assert_rows_equal(actual_list, expected_list)
 
 
 def _test() -> None:

From 042e099bf0adb0bc2f5f980ba82c7c5fef363d02 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 31 Jul 2023 21:01:51 -0400
Subject: [PATCH 111/986] [SPARK-44611][CONNECT] Do not exclude scala-xml

### What changes were proposed in this pull request?
This PR removes the scala-xml exclusion for ammonite.

### Why are the changes needed?
Ammonite does not work well without scala-xml.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually

Closes #42246 from hvanhovell/SPARK-44611.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 9a2abe42cf484fb51410e0e3b86776d6e673d8b6)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 connector/connect/client/jvm/pom.xml | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 503888ce09559..f327db7c193a5 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -94,12 +94,6 @@
       <artifactId>ammonite_${scala.version}</artifactId>
       <version>${ammonite.version}</version>
       <scope>provided</scope>
-      <exclusions>
-        <exclusion>
-          <groupId>org.scala-lang.modules</groupId>
-          <artifactId>scala-xml_${scala.binary.version}</artifactId>
-        </exclusion>
-      </exclusions>
     </dependency>
     <dependency>
       <groupId>org.apache.spark</groupId>

From 97fedcc7ef0d998e25007f7de309f4220f3d145b Mon Sep 17 00:00:00 2001
From: sychen <sychen@ctrip.com>
Date: Tue, 1 Aug 2023 09:59:21 +0800
Subject: [PATCH 112/986] [SPARK-44583][DOC]
 `spark.*.io.connectionCreationTimeout` parameter documentation

### What changes were proposed in this pull request?

### Why are the changes needed?
`spark.*.io.connectionCreationTimeout` The parameter description is missing, and the default time of the comment is wrong.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

Closes #42205 from cxzl25/SPARK-44583.

Authored-by: sychen <sychen@ctrip.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 772ebd312520895244aff0b3d65f9f2d8dddf406)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/network/util/TransportConf.java     |  2 +-
 docs/configuration.md                         | 24 +++++++++++++++++++
 2 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java b/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
index deac78ffeddea..45e9994be7225 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
@@ -106,7 +106,7 @@ public int connectionTimeoutMs() {
     return defaultTimeoutMs < 0 ? 0 : (int) defaultTimeoutMs;
   }
 
-  /** Connect creation timeout in milliseconds. Default 30 secs. */
+  /** Connect creation timeout in milliseconds. Default 120 secs. */
   public int connectionCreationTimeoutMs() {
     long connectionTimeoutS = TimeUnit.MILLISECONDS.toSeconds(connectionTimeoutMs());
     long defaultTimeoutMs = JavaUtils.timeStringAsSec(
diff --git a/docs/configuration.md b/docs/configuration.md
index fbbb9b95f7146..99ef055955838 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1041,6 +1041,14 @@ Apart from these, the following properties are also available, and may be useful
   </td>
   <td>1.2.0</td>
 </tr>
+<tr>
+  <td><code>spark.shuffle.io.connectionCreationTimeout</code></td>
+  <td>value of <code>spark.shuffle.io.connectionTimeout</code></td>
+  <td>
+    Timeout for establishing a connection between the shuffle servers and clients.
+  </td>
+  <td>3.2.0</td>
+</tr>
 <tr>
   <td><code>spark.shuffle.service.enabled</code></td>
   <td>false</td>
@@ -1217,6 +1225,14 @@ Apart from these, the following properties are also available, and may be useful
   </td>
   <td>1.6.0</td>
 </tr>
+<tr>
+  <td><code>spark.files.io.connectionCreationTimeout</code></td>
+  <td>value of <code>spark.files.io.connectionTimeout</code></td>
+  <td>
+    Timeout for establishing a connection for fetching files in Spark RPC environments.
+  </td>
+  <td>3.2.0</td>
+</tr>
 <tr>
   <td><code>spark.shuffle.checksum.enabled</code></td>
   <td>true</td>
@@ -2442,6 +2458,14 @@ Apart from these, the following properties are also available, and may be useful
   </td>
   <td>1.2.0</td>
 </tr>
+<tr>
+  <td><code>spark.rpc.io.connectionCreationTimeout</code></td>
+  <td>value of <code>spark.rpc.io.connectionTimeout</code></td>
+  <td>
+    Timeout for establishing a connection between RPC peers.
+  </td>
+  <td>3.2.0</td>
+</tr>
 </table>
 
 ### Scheduling

From ff382accd9120219bbe6737880ed659db8835d54 Mon Sep 17 00:00:00 2001
From: Christopher Cooper <christopher.cooper@databricks.com>
Date: Tue, 1 Aug 2023 11:02:26 +0800
Subject: [PATCH 113/986] [SPARK-44615][CONNECT][TESTS] rename spark connect
 client suites to avoid conflict

### What changes were proposed in this pull request?

Before this change, each of the following names referred to a suite in `sql/core` and a duplicate-named suite in `connector/connect/client/jvm`:
- `org.apache.spark.sql.streaming.StreamingQuerySuite`
- `org.apache.spark.sql.DataFrameStatSuite`
- `org.apache.spark.sql.DatasetSuite`

This change renames spark connect client version of these suites to avoid the name conflict.

### Why are the changes needed?

Currently there are two identically named classes which can cause confusion and potential build issues.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Test-only change

Closes #42247 from cg505/rename-client-testsuites.

Authored-by: Christopher Cooper <christopher.cooper@databricks.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit fd18c34a8513156ec9a3d184e0686dc85b3dfccb)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 ...{DataFrameStatSuite.scala => ClientDataFrameStatSuite.scala} | 2 +-
 .../spark/sql/{DatasetSuite.scala => ClientDatasetSuite.scala}  | 2 +-
 ...treamingQuerySuite.scala => ClientStreamingQuerySuite.scala} | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{DataFrameStatSuite.scala => ClientDataFrameStatSuite.scala} (99%)
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{DatasetSuite.scala => ClientDatasetSuite.scala} (98%)
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/{StreamingQuerySuite.scala => ClientStreamingQuerySuite.scala} (99%)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameStatSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
similarity index 99%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameStatSuite.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
index 12683e54d989f..62ff21332f105 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameStatSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
@@ -24,7 +24,7 @@ import org.scalatest.matchers.must.Matchers._
 import org.apache.spark.SparkException
 import org.apache.spark.sql.connect.client.util.RemoteSparkSession
 
-class DataFrameStatSuite extends RemoteSparkSession {
+class ClientDataFrameStatSuite extends RemoteSparkSession {
   private def toLetter(i: Int): String = (i + 97).toChar.toString
 
   test("approxQuantile") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
similarity index 98%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
index f70e9b4ce13e5..ae20f771d6c1f 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
@@ -33,7 +33,7 @@ import org.apache.spark.sql.functions._
 // - sample fraction: simple.sample(0.1)
 // - sample withReplacement_fraction: simple.sample(withReplacement = true, 0.11)
 // Add tests for exceptions thrown
-class DatasetSuite extends ConnectFunSuite with BeforeAndAfterEach {
+class ClientDatasetSuite extends ConnectFunSuite with BeforeAndAfterEach {
 
   private var server: Server = _
   private var service: DummySparkConnectService = _
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
similarity index 99%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
index f1ae9684d2a48..bc778f02480bd 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
@@ -35,7 +35,7 @@ import org.apache.spark.sql.functions.window
 import org.apache.spark.sql.streaming.StreamingQueryListener.{QueryIdleEvent, QueryStartedEvent, QueryTerminatedEvent}
 import org.apache.spark.util.SparkFileUtils
 
-class StreamingQuerySuite extends QueryTest with SQLHelper with Logging {
+class ClientStreamingQuerySuite extends QueryTest with SQLHelper with Logging {
 
   test("Streaming API with windowed aggregate query") {
     // This verifies standard streaming API by starting a streaming query with windowed count.

From 562068b79ed81d33e2c2c2b95cf9432df8059aaa Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Tue, 1 Aug 2023 12:42:15 +0900
Subject: [PATCH 114/986] [SPARK-44421][SPARK-44423][CONNECT] Reattachable
 execution in Spark Connect

### What changes were proposed in this pull request?

Implement server support and scala client for reattachable execution with two new RPCs:
* ReattachExecute
* ReleaseExecute

With reattachable execution, if the response stream of ExecutePlan RPC gets broken, it can be reattached to with ReattachExecute RPC. The server now holds a bit of a backtrack buffer, in case the client coming back with reattach after error did not receive the latest sent responses, and have to backtrack. The client can sends ReleaseExecute responses to let the server know what has already been consumed and can be freed.

#### Server: ExecuteResponseObserver

If ExecuteHolder is reattachable, ExecuteResponseSender is modified to not throw away responses that were returned to ExecuteGrpcResponseSender immediately, but keep a buffer of `spark.connect.execute.reattachable.observerRetryBufferSize` (default 1 MB) responses behind the last returned response. This facilitates returning consumer being able to backtrack in case the last returned response did not successfully arrive at the client.

#### Server: ExecuteGrpcResponseSender

If ExecuteHolder is reattachable, ExecuteGrpcResponseSender is modified to gracefully end the RPC response stream after a given time (`spark.connect.execute.reattachable.senderMaxStreamDuration`, default 5 minutes) or size of responses (`spark.connect.execute.reattachable.senderMaxStreamSize`, default 1 GB). After that the response is completed, and client needs to come back with a ReattachExecute RPC to continue. Clients know whether it's the real end of the results, because ExecuteThreadRunner now puts a marker ResultComplete message at the real end of the stream.

Cutting the stream manually in a graceful way like that can help prevent errors related to long open streams. It also helps with long held idle stream that may get broken because of idleness. The client is able to handle these errors, but this also provides a cleaner way to minimize the number of network errors.

ExecuteGrpcResponseSender also implements flow control of responses sent to the GRPC stream. Normally, grpcResponseObserver.onNext would never block. This doesn't however mean that it would send all responses immediately. The responses could be queued if the client does not keep up receiving and processing them. This queue can grow ubounded, and we don't know what was actually sent, so we don't know how much of a buffer ExecuteResponseObserver really needs to keep. Flow control utilizes functions of ServerCallStreamObserver, which provides means to check if the stream is actually ready to send data, and callbacks to notify when it becomes ready. ExecuteGrpcResponseSender will wait with grpcResponseObserver.onNext until it becomes ready.

This also helps with clients that would abandon their result stream. Now we will block from sending the responses, and time out the RPC after senderMaxStreamDuration, instead of pushing the responses to a GRPC outbound queue that is outside our control. The TODO server mechanism would then remove the execution with no RPC attached. Note: in such a situation, responses will still pile up in ExecuteResponseObserver; there is unfortunately no flow control of the Spark task results being pushed to it.

#### Client: ExecutePlanResponseReattachableIterator

Client wraps the whole implementation inside ExecutePlanResponseReattachableIterator. It's a wrapper that starts with an ExecutePlan result iterator, but if this iterator either finishes without a ResultComplete message, or an intermittent network error occurs, it can acquire a new iterator to continue where it left off: by tracking the last received response, it can request a new iterator from ReattachExecute that starts after that.

The client sends ReleaseExecute RPCs asynchronously to release the responses it already consumed (potentially faster than the ExecuteResponseObserver would release from its backtrack buffer). The client doesn't need to check their result or block on them. If something fails, the executions will get cleaned by the TODO cleanup mechanism in the server.

#### TODO as followup

* What remains TODO for a followup PR is server mechanism for dealing with executions that have been abandoned - the client did not come back with ReatachExecute, and didn't free the execution with ReleaseExecute. This will be done by an operation manager that monitors all active executions, and interrupts and removes ones that were not released, but don't have any client RPC attached to them for a while.
* Python client implementation is a followup.

### Why are the changes needed?

Robust handling of long running queries in face of intermittent network glitches.

### Does this PR introduce _any_ user-facing change?

The re-attachable execution mechanism is not exposed in any public API. Several internal configs have been added:

Connect server configs:
* `spark.connect.execute.reattachable.senderMaxStreamDuration`
* `spark.connect.execute.reattachable.senderMaxStreamSize`
* `spark.connect.execute.reattachable.observerRetryBufferSize`

Connect scala client configuration element: `useReattachableExecute`

### How was this patch tested?

Existing E2E suite utilize re-attachable execution. The tests have been configure to exercise reattaching by using an extremely low senderMaxStreamDuration and senderMaxStreamSize.

Closes #42228 from juliuszsompolski/SPARK-44421.

Lead-authored-by: Juliusz Sompolski <julek@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 3e5203c64c06cc8a8560dfa0fb6f52e74589b583)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../main/resources/error/error-classes.json   |  51 ++-
 .../org/apache/spark/sql/SparkSession.scala   |   6 +-
 .../CustomSparkConnectBlockingStub.scala      |   9 +
 ...cutePlanResponseReattachableIterator.scala | 244 +++++++++++++
 .../sql/connect/client/GrpcRetryHandler.scala |  63 ++--
 .../connect/client/SparkConnectClient.scala   |  26 +-
 .../client/SparkConnectClientSuite.scala      |  33 ++
 .../client/util/RemoteSparkSession.scala      |  10 +-
 .../main/protobuf/spark/connect/base.proto    | 124 +++++++
 .../spark/sql/connect/config/Connect.scala    |  35 ++
 .../execution/CachedStreamResponse.scala      |   9 +-
 .../execution/ExecuteGrpcResponseSender.scala | 191 +++++++++--
 .../execution/ExecuteResponseObserver.scala   |  97 +++++-
 .../execution/ExecuteThreadRunner.scala       |  27 +-
 .../execution/SparkConnectPlanExecution.scala |   1 -
 .../sql/connect/service/ExecuteHolder.scala   |  75 +++-
 .../sql/connect/service/SessionHolder.scala   |  22 +-
 .../SparkConnectExecutePlanHandler.scala      |  20 +-
 .../SparkConnectReattachExecuteHandler.scala  |  63 ++++
 .../SparkConnectReleaseExecuteHandler.scala   |  62 ++++
 .../connect/service/SparkConnectService.scala |  73 +++-
 .../spark/sql/connect/utils/ErrorUtils.scala  |  14 +-
 .../service/ExecuteEventsManagerSuite.scala   |   9 +-
 .../apache/spark/SparkThrowableSuite.scala    |   2 +-
 ...r-conditions-invalid-handle-error-class.md |  20 +-
 docs/sql-error-conditions.md                  |   8 +
 python/pyspark/sql/connect/proto/base_pb2.py  | 158 +++++----
 python/pyspark/sql/connect/proto/base_pb2.pyi | 323 +++++++++++++++++-
 .../sql/connect/proto/base_pb2_grpc.py        |  98 ++++++
 29 files changed, 1660 insertions(+), 213 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index ba3076fb931e2..31844f6f1f44f 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -1240,6 +1240,34 @@
     ],
     "sqlState" : "42000"
   },
+  "INVALID_CURSOR" : {
+    "message" : [
+      "The cursor is invalid."
+    ],
+    "subClass" : {
+      "DISCONNECTED" : {
+        "message" : [
+          "The cursor has been disconnected by the server."
+        ]
+      },
+      "NOT_REATTACHABLE" : {
+        "message" : [
+          "The cursor is not reattachable."
+        ]
+      },
+      "POSITION_NOT_AVAILABLE" : {
+        "message" : [
+          "The cursor position id <responseId> is no longer available at index <index>."
+        ]
+      },
+      "POSITION_NOT_FOUND" : {
+        "message" : [
+          "The cursor position id <responseId> is not found."
+        ]
+      }
+    },
+    "sqlState" : "HY109"
+  },
   "INVALID_DEFAULT_VALUE" : {
     "message" : [
       "Failed to execute <statement> command because the destination table column <colName> has a DEFAULT value <defaultValue>,"
@@ -1388,14 +1416,29 @@
       "The handle <handle> is invalid."
     ],
     "subClass" : {
-      "ALREADY_EXISTS" : {
+      "FORMAT" : {
         "message" : [
-          "Handle already exists."
+          "Handle must be an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'"
         ]
       },
-      "FORMAT" : {
+      "OPERATION_ALREADY_EXISTS" : {
+        "message" : [
+          "Operation already exists."
+        ]
+      },
+      "OPERATION_NOT_FOUND" : {
+        "message" : [
+          "Operation not found."
+        ]
+      },
+      "SESSION_ALREADY_EXISTS" : {
+        "message" : [
+          "Session already exists."
+        ]
+      },
+      "SESSION_NOT_FOUND" : {
         "message" : [
-          "Handle has invalid format. Handle must an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'"
+          "Session not found."
         ]
       }
     },
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 4b3de91b56f9f..a3d82156a03c9 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -254,7 +254,8 @@ class SparkSession private[sql] (
     val plan = proto.Plan.newBuilder().setCommand(cmd)
     val responseIter = client.execute(plan.build())
 
-    val response = responseIter.asScala
+    // Note: .toSeq makes the stream be consumed and closed.
+    val response = responseIter.asScala.toSeq
       .find(_.hasSqlCommandResult)
       .getOrElse(throw new RuntimeException("SQLCommandResult must be present"))
 
@@ -310,7 +311,8 @@ class SparkSession private[sql] (
       val plan = proto.Plan.newBuilder().setCommand(cmd)
       val responseIter = client.execute(plan.build())
 
-      val response = responseIter.asScala
+      // Note: .toSeq makes the stream be consumed and closed.
+      val response = responseIter.asScala.toSeq
         .find(_.hasSqlCommandResult)
         .getOrElse(throw new RuntimeException("SQLCommandResult must be present"))
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
index ac14bb7e7a3e6..bb20901eade17 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
@@ -34,6 +34,15 @@ private[client] class CustomSparkConnectBlockingStub(
     }
   }
 
+  def executePlanReattachable(
+      request: ExecutePlanRequest): java.util.Iterator[ExecutePlanResponse] = {
+    GrpcExceptionConverter.convert {
+      GrpcExceptionConverter.convertIterator[ExecutePlanResponse](
+        // Don't use retryHandler - own retry handling is inside.
+        new ExecutePlanResponseReattachableIterator(request, channel, retryPolicy))
+    }
+  }
+
   def analyzePlan(request: AnalyzePlanRequest): AnalyzePlanResponse = {
     GrpcExceptionConverter.convert {
       retryHandler.retry {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
new file mode 100644
index 0000000000000..c6f75928a3a04
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -0,0 +1,244 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client
+
+import java.util.UUID
+
+import scala.util.control.NonFatal
+
+import io.grpc.ManagedChannel
+import io.grpc.stub.StreamObserver
+
+import org.apache.spark.connect.proto
+import org.apache.spark.internal.Logging
+
+/**
+ * Retryable iterator of ExecutePlanResponses to an ExecutePlan call.
+ *
+ * It can handle situations when:
+ *   - the ExecutePlanResponse stream was broken by retryable network error (governed by
+ *     retryPolicy)
+ *   - the ExecutePlanResponse was gracefully ended by the server without a ResultComplete
+ *     message; this tells the client that there is more, and it should reattach to continue.
+ *
+ * Initial iterator is the result of an ExecutePlan on the request, but it can be reattached with
+ * ReattachExecute request. ReattachExecute request is provided the responseId of last returned
+ * ExecutePlanResponse on the iterator to return a new iterator from server that continues after
+ * that.
+ *
+ * Since in reattachable execute the server does buffer some responses in case the client needs to
+ * backtrack
+ */
+class ExecutePlanResponseReattachableIterator(
+    request: proto.ExecutePlanRequest,
+    channel: ManagedChannel,
+    retryPolicy: GrpcRetryHandler.RetryPolicy)
+    extends java.util.Iterator[proto.ExecutePlanResponse]
+    with Logging {
+
+  val operationId = if (request.hasOperationId) {
+    request.getOperationId
+  } else {
+    // Add operation id, if not present.
+    // with operationId set by the client, the client can use it to try to reattach on error
+    // even before getting the first response. If the operation in fact didn't even reach the
+    // server, that will end with INVALID_HANDLE.OPERATION_NOT_FOUND error.
+    UUID.randomUUID.toString
+  }
+
+  // Need raw stubs, don't want retry handling or error conversion done by the custom stubs.
+  // - this does it's own custom retry handling
+  // - error conversion is wrapped around this in CustomSparkConnectBlockingStub,
+  //   this needs raw GRPC errors for retries.
+  private val rawBlockingStub = proto.SparkConnectServiceGrpc.newBlockingStub(channel)
+  private val rawAsyncStub = proto.SparkConnectServiceGrpc.newStub(channel)
+
+  private val initialRequest: proto.ExecutePlanRequest = request
+    .toBuilder()
+    .addRequestOptions(
+      proto.ExecutePlanRequest.RequestOption
+        .newBuilder()
+        .setReattachOptions(proto.ReattachOptions.newBuilder().setReattachable(true).build())
+        .build())
+    .setOperationId(operationId)
+    .build()
+
+  // ResponseId of the last response returned by next()
+  private var lastReturnedResponseId: Option[String] = None
+
+  // True after ResponseComplete message was seen in the stream.
+  // Server will always send this message at the end of the stream, if the underlying iterator
+  // finishes without producing one, another iterator needs to be reattached.
+  private var responseComplete: Boolean = false
+
+  // Initial iterator comes from ExecutePlan request.
+  private var iterator: java.util.Iterator[proto.ExecutePlanResponse] =
+    rawBlockingStub.executePlan(initialRequest)
+
+  override def next(): proto.ExecutePlanResponse = synchronized {
+    // hasNext will trigger reattach in case the stream completed without responseComplete
+    if (!hasNext()) {
+      throw new java.util.NoSuchElementException()
+    }
+
+    // Get next response, possibly triggering reattach in case of stream error.
+    var firstTry = true
+    val ret = retry {
+      if (firstTry) {
+        // on first try, we use the existing iterator.
+        firstTry = false
+      } else {
+        // on retry, the iterator is borked, so we need a new one
+        iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+      }
+      iterator.next()
+    }
+
+    // Record last returned response, to know where to restart in case of reattach.
+    lastReturnedResponseId = Some(ret.getResponseId)
+    if (ret.hasResultComplete) {
+      responseComplete = true
+      releaseExecute(None) // release all
+    } else {
+      releaseExecute(lastReturnedResponseId) // release until this response
+    }
+    ret
+  }
+
+  override def hasNext(): Boolean = synchronized {
+    if (responseComplete) {
+      // After response complete response
+      return false
+    }
+    var firstTry = true
+    retry {
+      if (firstTry) {
+        // on first try, we use the existing iterator.
+        firstTry = false
+      } else {
+        // on retry, the iterator is borked, so we need a new one
+        iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+      }
+      var hasNext = iterator.hasNext()
+      // Graceful reattach:
+      // If iterator ended, but there was no ResultComplete, it means that there is more,
+      // and we need to reattach.
+      if (!hasNext && !responseComplete) {
+        do {
+          iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+          assert(!responseComplete) // shouldn't change...
+          hasNext = iterator.hasNext()
+          // It's possible that the new iterator will be empty, so we need to loop to get another.
+          // Eventually, there will be a non empty iterator, because there's always a ResultComplete
+          // at the end of the stream.
+        } while (!hasNext)
+      }
+      hasNext
+    }
+  }
+
+  /**
+   * Inform the server to release the execution.
+   *
+   * This will send an asynchronous RPC which will not block this iterator, the iterator can
+   * continue to be consumed.
+   *
+   * Release with untilResponseId informs the server that the iterator has been consumed until and
+   * including response with that responseId, and these responses can be freed.
+   *
+   * Release with None means that the responses have been completely consumed and informs the
+   * server that the completed execution can be completely freed.
+   */
+  private def releaseExecute(untilResponseId: Option[String]): Unit = {
+    val request = createReleaseExecuteRequest(untilResponseId)
+    rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+  }
+
+  /**
+   * Create result callback to the asynchronouse ReleaseExecute. The client does not block on
+   * ReleaseExecute and continues with iteration, but if it fails with a retryable error, the
+   * callback will retrigger the asynchronous ReleaseExecute.
+   */
+  private def createRetryingReleaseExecuteResponseObserer(
+      requestForRetry: proto.ReleaseExecuteRequest,
+      currentRetryNum: Int = 0): StreamObserver[proto.ReleaseExecuteResponse] = {
+    new StreamObserver[proto.ReleaseExecuteResponse] {
+      override def onNext(v: proto.ReleaseExecuteResponse): Unit = {}
+      override def onCompleted(): Unit = {}
+      override def onError(t: Throwable): Unit = t match {
+        case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
+          Thread.sleep(
+            (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
+              .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
+          rawAsyncStub.releaseExecute(
+            requestForRetry,
+            createRetryingReleaseExecuteResponseObserer(requestForRetry, currentRetryNum + 1))
+        case _ =>
+          logWarning(s"ReleaseExecute failed with exception: $t.")
+      }
+    }
+  }
+
+  private def createReattachExecuteRequest() = {
+    val reattach = proto.ReattachExecuteRequest
+      .newBuilder()
+      .setSessionId(initialRequest.getSessionId)
+      .setUserContext(initialRequest.getUserContext)
+      .setOperationId(initialRequest.getOperationId)
+
+    if (initialRequest.hasClientType) {
+      reattach.setClientType(initialRequest.getClientType)
+    }
+
+    if (lastReturnedResponseId.isDefined) {
+      reattach.setLastResponseId(lastReturnedResponseId.get)
+    }
+    reattach.build()
+  }
+
+  private def createReleaseExecuteRequest(untilResponseId: Option[String]) = {
+    val release = proto.ReleaseExecuteRequest
+      .newBuilder()
+      .setSessionId(initialRequest.getSessionId)
+      .setUserContext(initialRequest.getUserContext)
+      .setOperationId(initialRequest.getOperationId)
+
+    if (initialRequest.hasClientType) {
+      release.setClientType(initialRequest.getClientType)
+    }
+
+    untilResponseId match {
+      case None =>
+        release.setReleaseAll(proto.ReleaseExecuteRequest.ReleaseAll.newBuilder().build())
+      case Some(responseId) =>
+        release
+          .setReleaseUntil(
+            proto.ReleaseExecuteRequest.ReleaseUntil
+              .newBuilder()
+              .setResponseId(responseId)
+              .build())
+    }
+
+    release.build()
+  }
+
+  /**
+   * Retries the given function with exponential backoff according to the client's retryPolicy.
+   */
+  private def retry[T](fn: => T, currentRetryNum: Int = 0): T =
+    GrpcRetryHandler.retry(retryPolicy)(fn, currentRetryNum)
+}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 48a86c047beb8..16352bb90b5b8 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -24,35 +24,15 @@ import scala.util.control.NonFatal
 import io.grpc.{Status, StatusRuntimeException}
 import io.grpc.stub.StreamObserver
 
+import org.apache.spark.internal.Logging
+
 private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler.RetryPolicy) {
 
   /**
    * Retries the given function with exponential backoff according to the client's retryPolicy.
-   * @param fn
-   *   The function to retry.
-   * @param currentRetryNum
-   *   Current number of retries.
-   * @tparam T
-   *   The return type of the function.
-   * @return
-   *   The result of the function.
    */
-  @tailrec final def retry[T](fn: => T, currentRetryNum: Int = 0): T = {
-    if (currentRetryNum > retryPolicy.maxRetries) {
-      throw new IllegalArgumentException(
-        s"The number of retries ($currentRetryNum) must not exceed " +
-          s"the maximum number of retires (${retryPolicy.maxRetries}).")
-    }
-    try {
-      return fn
-    } catch {
-      case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
-        Thread.sleep(
-          (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
-            .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
-    }
-    retry(fn, currentRetryNum + 1)
-  }
+  def retry[T](fn: => T, currentRetryNum: Int = 0): T =
+    GrpcRetryHandler.retry(retryPolicy)(fn, currentRetryNum)
 
   /**
    * Generalizes the retry logic for RPC calls that return an iterator.
@@ -157,7 +137,40 @@ private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler
   }
 }
 
-private[client] object GrpcRetryHandler {
+private[client] object GrpcRetryHandler extends Logging {
+
+  /**
+   * Retries the given function with exponential backoff according to the client's retryPolicy.
+   * @param retryPolicy
+   *   The retry policy
+   * @param fn
+   *   The function to retry.
+   * @param currentRetryNum
+   *   Current number of retries.
+   * @tparam T
+   *   The return type of the function.
+   * @return
+   *   The result of the function.
+   */
+  @tailrec final def retry[T](retryPolicy: RetryPolicy)(fn: => T, currentRetryNum: Int = 0): T = {
+    if (currentRetryNum > retryPolicy.maxRetries) {
+      throw new IllegalArgumentException(
+        s"The number of retries ($currentRetryNum) must not exceed " +
+          s"the maximum number of retires (${retryPolicy.maxRetries}).")
+    }
+    try {
+      return fn
+    } catch {
+      case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
+        logWarning(
+          s"Non fatal error during RPC execution: $e, " +
+            s"retrying (currentRetryNum=$currentRetryNum)")
+        Thread.sleep(
+          (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
+            .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
+    }
+    retry(retryPolicy)(fn, currentRetryNum + 1)
+  }
 
   /**
    * Default canRetry in [[RetryPolicy]].
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index 1a7fbcefc1dda..aac5e6b9cc33a 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -82,7 +82,11 @@ private[sql] class SparkConnectClient(
       .setClientType(userAgent)
       .addAllTags(tags.get.toSeq.asJava)
       .build()
-    bstub.executePlan(request)
+    if (configuration.useReattachableExecute) {
+      bstub.executePlanReattachable(request)
+    } else {
+      bstub.executePlan(request)
+    }
   }
 
   /**
@@ -529,6 +533,25 @@ object SparkConnectClient {
       this
     }
 
+    /**
+     * Disable reattachable execute.
+     */
+    def disableReattachableExecute(): Builder = {
+      _configuration = _configuration.copy(useReattachableExecute = false)
+      this
+    }
+
+    /**
+     * Enable reattachable execute.
+     *
+     * It makes client more robust, enabling reattaching to an ExecutePlanResponse stream in case
+     * of intermittent connection errors.
+     */
+    def enableReattachableExecute(): Builder = {
+      _configuration = _configuration.copy(useReattachableExecute = true)
+      this
+    }
+
     def build(): SparkConnectClient = _configuration.toSparkConnectClient
   }
 
@@ -545,6 +568,7 @@ object SparkConnectClient {
       metadata: Map[String, String] = Map.empty,
       userAgent: String = DEFAULT_USER_AGENT,
       retryPolicy: GrpcRetryHandler.RetryPolicy = GrpcRetryHandler.RetryPolicy(),
+      useReattachableExecute: Boolean = true,
       interceptors: List[ClientInterceptor] = List.empty) {
 
     def userContext: proto.UserContext = {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index 50182f1517816..ec447cac8698d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -362,4 +362,37 @@ class DummySparkConnectService() extends SparkConnectServiceGrpc.SparkConnectSer
     responseObserver.onNext(builder.build())
     responseObserver.onCompleted()
   }
+
+  override def interrupt(
+      request: proto.InterruptRequest,
+      responseObserver: StreamObserver[proto.InterruptResponse]): Unit = {
+    val response = proto.InterruptResponse.newBuilder().setSessionId(request.getSessionId).build()
+    responseObserver.onNext(response)
+    responseObserver.onCompleted()
+  }
+
+  override def reattachExecute(
+      request: proto.ReattachExecuteRequest,
+      responseObserver: StreamObserver[proto.ExecutePlanResponse]): Unit = {
+    // Reply with a dummy response using the same client ID
+    val requestSessionId = request.getSessionId
+    val response = ExecutePlanResponse
+      .newBuilder()
+      .setSessionId(requestSessionId)
+      .build()
+    responseObserver.onNext(response)
+    responseObserver.onCompleted()
+  }
+
+  override def releaseExecute(
+      request: proto.ReleaseExecuteRequest,
+      responseObserver: StreamObserver[proto.ReleaseExecuteResponse]): Unit = {
+    val response = proto.ReleaseExecuteResponse
+      .newBuilder()
+      .setSessionId(request.getSessionId)
+      .setOperationId(request.getOperationId)
+      .build()
+    responseObserver.onNext(response)
+    responseObserver.onCompleted()
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
index 1c1cb1403fee0..88c0785d3af48 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
@@ -139,7 +139,15 @@ object SparkConnectServerUtils {
       Seq("--conf", s"spark.sql.catalogImplementation=$catalogImplementation")
     }
 
-    jarsConfigs ++ writerV2Configs ++ hiveTestConfigs
+    // Make the server terminate reattachable streams every 1 second and 123 bytes,
+    // to make the tests exercise reattach.
+    val reattachExecuteConfigs = Seq(
+      "--conf",
+      "spark.connect.execute.reattachable.senderMaxStreamDuration=1s",
+      "--conf",
+      "spark.connect.execute.reattachable.senderMaxStreamSize=123")
+
+    jarsConfigs ++ writerV2Configs ++ hiveTestConfigs ++ reattachExecuteConfigs
   }
 
   def start(): Unit = {
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/base.proto b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
index 21fd167f6b5dd..151e828b3e903 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/base.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
@@ -303,6 +303,7 @@ message ExecutePlanRequest {
 
   message RequestOption {
     oneof request_option {
+      ReattachOptions reattach_options = 1;
       // Extension type for request options
       google.protobuf.Any extension = 999;
     }
@@ -325,6 +326,10 @@ message ExecutePlanResponse {
   // It is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
   string operation_id = 12;
 
+  // Identified the response in the stream.
+  // The id is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+  string response_id = 13;
+
   // Union type for the different response messages.
   oneof response_type {
     ArrowBatch arrow_batch = 2;
@@ -344,6 +349,9 @@ message ExecutePlanResponse {
     // Response for commands on the streaming query manager.
     StreamingQueryManagerCommandResult streaming_query_manager_command_result = 11;
 
+    // Response type informing if the stream is complete in reattachable execution.
+    ResultComplete result_complete = 14;
+
     // Support arbitrary result objects.
     google.protobuf.Any extension = 999;
   }
@@ -392,6 +400,12 @@ message ExecutePlanResponse {
     string name = 1;
     repeated Expression.Literal values = 2;
   }
+
+  message ResultComplete {
+    // If present, in a reattachable execution this means that after server sends onComplete,
+    // the execution is complete. If the server sends onComplete without sending a ResultComplete,
+    // it means that there is more, and the client should use ReattachExecute RPC to continue.
+  }
 }
 
 // The key-value pair for the config request and response.
@@ -666,6 +680,104 @@ message InterruptResponse {
   repeated string interrupted_ids = 2;
 }
 
+message ReattachOptions {
+  // If true, the request can be reattached to using ReattachExecute.
+  // ReattachExecute can be used either if the stream broke with a GRPC network error,
+  // or if the server closed the stream without sending a response with StreamStatus.complete=true.
+  // The server will keep a buffer of responses in case a response is lost, and
+  // ReattachExecute needs to back-track.
+  //
+  // If false, the execution response stream will will not be reattachable, and all responses are
+  // immediately released by the server after being sent.
+  bool reattachable = 1;
+}
+
+message ReattachExecuteRequest {
+  // (Required)
+  //
+  // The session_id of the request to reattach to.
+  // This must be an id of existing session.
+  string session_id = 1;
+
+  // (Required) User context
+  //
+  // user_context.user_id and session+id both identify a unique remote spark session on the
+  // server side.
+  UserContext user_context = 2;
+
+  // (Required)
+  // Provide an id of the request to reattach to.
+  // This must be an id of existing operation.
+  string operation_id = 3;
+
+  // Provides optional information about the client sending the request. This field
+  // can be used for language or version specific information and is only intended for
+  // logging purposes and will not be interpreted by the server.
+  optional string client_type = 4;
+
+  // (Optional)
+  // Last already processed response id from the response stream.
+  // After reattach, server will resume the response stream after that response.
+  // If not specified, server will restart the stream from the start.
+  //
+  // Note: server controls the amount of responses that it buffers and it may drop responses,
+  // that are far behind the latest returned response, so this can't be used to arbitrarily
+  // scroll back the cursor. If the response is no longer available, this will result in an error.
+  optional string last_response_id = 5;
+}
+
+message ReleaseExecuteRequest {
+  // (Required)
+  //
+  // The session_id of the request to reattach to.
+  // This must be an id of existing session.
+  string session_id = 1;
+
+  // (Required) User context
+  //
+  // user_context.user_id and session+id both identify a unique remote spark session on the
+  // server side.
+  UserContext user_context = 2;
+
+  // (Required)
+  // Provide an id of the request to reattach to.
+  // This must be an id of existing operation.
+  string operation_id = 3;
+
+  // Provides optional information about the client sending the request. This field
+  // can be used for language or version specific information and is only intended for
+  // logging purposes and will not be interpreted by the server.
+  optional string client_type = 4;
+
+  // Release and close operation completely.
+  // Note: This should be called when the server side operation is finished, and ExecutePlan or
+  // ReattachExecute are finished processing the result stream, or inside onComplete / onError.
+  // This will not interrupt a running execution, but block until it's finished.
+  message ReleaseAll {}
+
+  // Release all responses from the operation response stream up to and including
+  // the response with the given by response_id.
+  // While server determines by itself how much of a buffer of responses to keep, client providing
+  // explicit release calls will help reduce resource consumption.
+  // Noop if response_id not found in cached responses.
+  message ReleaseUntil {
+    string response_id = 1;
+  }
+
+  oneof release {
+    ReleaseAll release_all = 5;
+    ReleaseUntil release_until = 6;
+  }
+}
+
+message ReleaseExecuteResponse {
+  // Session id in which the release was running.
+  string session_id = 1;
+
+  // Operation id of the operation which the release concerns.
+  string operation_id = 2;
+}
+
 // Main interface for the SparkConnect service.
 service SparkConnectService {
 
@@ -689,5 +801,17 @@ service SparkConnectService {
 
   // Interrupts running executions
   rpc Interrupt(InterruptRequest) returns (InterruptResponse) {}
+
+  // Reattach to an existing reattachable execution.
+  // The ExecutePlan must have been started with ReattachOptions.reattachable=true.
+  // If the ExecutePlanResponse stream ends without a ResultComplete message, there is more to
+  // continue. If there is a ResultComplete, the client should use ReleaseExecute with
+  rpc ReattachExecute(ReattachExecuteRequest) returns (stream ExecutePlanResponse) {}
+
+  // Release an reattachable execution, or parts thereof.
+  // The ExecutePlan must have been started with ReattachOptions.reattachable=true.
+  // Non reattachable executions are released automatically and immediately after the ExecutePlan
+  // RPC and ReleaseExecute doesn't need to be used.
+  rpc ReleaseExecute(ReleaseExecuteRequest) returns (ReleaseExecuteResponse) {}
 }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 15288a65a45a4..ac6de8f612a86 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql.connect.config
 
+import java.util.concurrent.TimeUnit
+
 import org.apache.spark.internal.config.ConfigBuilder
 import org.apache.spark.network.util.ByteUnit
 import org.apache.spark.sql.connect.common.config.ConnectCommon
@@ -66,6 +68,39 @@ object Connect {
       .intConf
       .createWithDefault(1024)
 
+  val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION =
+    ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamDuration")
+      .internal()
+      .doc("For reattachable execution, after this amount of time the response stream will be " +
+        "automatically completed and client needs to send a new ReattachExecute RPC to continue. " +
+        "Set to 0 for unlimited.")
+      .version("3.5.0")
+      .timeConf(TimeUnit.MILLISECONDS)
+      .createWithDefaultString("5m")
+
+  val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE =
+    ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamSize")
+      .internal()
+      .doc(
+        "For reattachable execution, after total responses size exceeds this value, the " +
+          "response stream will be automatically completed and client needs to send a new " +
+          "ReattachExecute RPC to continue. Set to 0 for unlimited.")
+      .version("3.5.0")
+      .bytesConf(ByteUnit.BYTE)
+      .createWithDefaultString("1g")
+
+  val CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE =
+    ConfigBuilder("spark.connect.execute.reattachable.observerRetryBufferSize")
+      .internal()
+      .doc(
+        "For reattachable execution, the total size of responses that were already sent to be " +
+          "kept in the buffer in case of connection error and client needing to retry. " +
+          "Set 0 to don't buffer anything (even last sent response)." +
+          "With any value greater than 0, the last sent response will always be buffered.")
+      .version("3.5.0")
+      .bytesConf(ByteUnit.BYTE)
+      .createWithDefaultString("1m")
+
   val CONNECT_EXTENSIONS_RELATION_CLASSES =
     ConfigBuilder("spark.connect.extensions.relation.classes")
       .doc("""
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
index 28eedca9d0077..ec9fce785badb 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
@@ -17,9 +17,14 @@
 
 package org.apache.spark.sql.connect.execution
 
-private[execution] case class CachedStreamResponse[T](
+import com.google.protobuf.MessageLite
+
+private[execution] case class CachedStreamResponse[T <: MessageLite](
     // the actual cached response
     response: T,
     // index of the response in the response stream.
     // responses produced in the stream are numbered consecutively starting from 1.
-    streamIndex: Long)
+    streamIndex: Long) {
+
+  def serializedByteSize: Long = response.getSerializedSize.toLong
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
index 2e5817fa504bb..88124080ccad5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
@@ -17,22 +17,36 @@
 
 package org.apache.spark.sql.connect.execution
 
-import io.grpc.stub.StreamObserver
+import com.google.protobuf.MessageLite
+import io.grpc.stub.{ServerCallStreamObserver, StreamObserver}
 
+import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.config.Connect.{CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION, CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE}
+import org.apache.spark.sql.connect.service.ExecuteHolder
 
 /**
  * ExecuteGrpcResponseSender sends responses to the GRPC stream. It runs on the RPC thread, and
  * gets notified by ExecuteResponseObserver about available responses. It notifies the
  * ExecuteResponseObserver back about cached responses that can be removed after being sent out.
- * @param responseObserver
+ * @param executeHolder
+ *   The execution this sender attaches to.
+ * @param grpcObserver
  *   the GRPC request StreamObserver
  */
-private[connect] class ExecuteGrpcResponseSender[T](grpcObserver: StreamObserver[T])
+private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
+    val executeHolder: ExecuteHolder,
+    grpcObserver: StreamObserver[T])
     extends Logging {
 
+  private var executionObserver = executeHolder.responseObserver
+    .asInstanceOf[ExecuteResponseObserver[T]]
+
   private var detached = false
 
+  // Signal to wake up when grpcCallObserver.isReady()
+  private val grpcCallObserverReadySignal = new Object
+
   /**
    * Detach this sender from executionObserver. Called only from executionObserver that this
    * sender is attached to. executionObserver holds lock, and needs to notify after this call.
@@ -46,72 +60,187 @@ private[connect] class ExecuteGrpcResponseSender[T](grpcObserver: StreamObserver
 
   /**
    * Attach to the executionObserver, consume responses from it, and send them to grpcObserver.
+   *
+   * In non reattachable execution, it will keep sending responses until the query finishes. In
+   * reattachable execution, it can finish earlier after reaching a time deadline or size limit.
+   *
+   * After this function finishes, the grpcObserver is closed with either onCompleted or onError.
+   *
    * @param lastConsumedStreamIndex
    *   the last index that was already consumed and sent. This sender will start from index after
    *   that. 0 means start from beginning (since first response has index 1)
-   *
-   * @return
-   *   true if the execution was detached before stream completed. The caller needs to finish the
-   *   grpcObserver stream false if stream was finished. In this case, grpcObserver stream is
-   *   already completed.
    */
-  def run(
-      executionObserver: ExecuteResponseObserver[T],
-      lastConsumedStreamIndex: Long): Boolean = {
+  def run(lastConsumedStreamIndex: Long): Unit = {
+    logDebug(
+      s"GrpcResponseSender run for $executeHolder, " +
+        s"reattachable=${executeHolder.reattachable}, " +
+        s"lastConsumedStreamIndex=$lastConsumedStreamIndex")
+
     // register to be notified about available responses.
     executionObserver.attachConsumer(this)
 
+    // In reattachable execution, we check if grpcCallObserver is ready for sending.
+    // See sendResponse
+    if (executeHolder.reattachable) {
+      val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
+      grpcCallObserver.setOnReadyHandler(() => {
+        grpcCallObserverReadySignal.synchronized {
+          grpcCallObserverReadySignal.notifyAll()
+        }
+      })
+    }
+
     var nextIndex = lastConsumedStreamIndex + 1
     var finished = false
 
+    // Time at which this sender should finish if the response stream is not finished by then.
+    val deadlineTimeMillis = if (!executeHolder.reattachable) {
+      Long.MaxValue
+    } else {
+      val confSize =
+        SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION).toLong
+      if (confSize > 0) System.currentTimeMillis() + confSize else Long.MaxValue
+    }
+
+    // Maximum total size of responses. The response which tips over this threshold will be sent.
+    val maximumResponseSize: Long = if (!executeHolder.reattachable) {
+      Long.MaxValue
+    } else {
+      val confSize =
+        SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE).toLong
+      if (confSize > 0) confSize else Long.MaxValue
+    }
+    var sentResponsesSize: Long = 0
+
     while (!finished) {
       var response: Option[CachedStreamResponse[T]] = None
+
+      // Conditions for exiting the inner loop:
+      // 1. was detached from response observer
+      def detachedFromObserver = detached
+      // 2. has a response to send
+      def gotResponse = response.nonEmpty
+      // 3. sent everything from the stream and the stream is finished
+      def streamFinished = executionObserver.getLastResponseIndex().exists(nextIndex > _)
+      // 4. time deadline or size limit reached
+      def deadlineLimitReached =
+        sentResponsesSize > maximumResponseSize || deadlineTimeMillis < System.currentTimeMillis()
+
       // Get next available response.
       // Wait until either this sender got detached or next response is ready,
       // or the stream is complete and it had already sent all responses.
       logDebug(s"Trying to get next response with index=$nextIndex.")
       executionObserver.synchronized {
-        logDebug(s"Acquired lock.")
-        while (!detached && response.isEmpty &&
-          executionObserver.getLastIndex().forall(nextIndex <= _)) {
+        logDebug(s"Acquired executionObserver lock.")
+        while (!detachedFromObserver &&
+          !gotResponse &&
+          !streamFinished &&
+          !deadlineLimitReached) {
           logDebug(s"Try to get response with index=$nextIndex from observer.")
-          response = executionObserver.getResponse(nextIndex)
+          response = executionObserver.consumeResponse(nextIndex)
           logDebug(s"Response index=$nextIndex from observer: ${response.isDefined}")
           // If response is empty, release executionObserver lock and wait to get notified.
           // The state of detached, response and lastIndex are change under lock in
           // executionObserver, and will notify upon state change.
           if (response.isEmpty) {
-            logDebug(s"Wait for response to become available.")
-            executionObserver.wait()
-            logDebug(s"Reacquired lock after waiting.")
+            val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
+            logDebug(s"Wait for response to become available with timeout=$timeout ms.")
+            executionObserver.wait(timeout)
+            logDebug(s"Reacquired executionObserver lock after waiting.")
           }
         }
         logDebug(
-          s"Exiting loop: detached=$detached, response=$response," +
-            s"lastIndex=${executionObserver.getLastIndex()}")
+          s"Exiting loop: detached=$detached, response=$response, " +
+            s"lastIndex=${executionObserver.getLastResponseIndex()}, " +
+            s"deadline=${deadlineLimitReached}")
       }
 
-      // Send next available response.
-      if (detached) {
+      // Process the outcome of the inner loop.
+      if (detachedFromObserver) {
         // This sender got detached by the observer.
+        // This only happens if this RPC is actually dead, and the client already came back with
+        // a ReattachExecute RPC. Kill this RPC.
         logDebug(s"Detached from observer at index ${nextIndex - 1}. Complete stream.")
-        finished = true
-      } else if (response.isDefined) {
+        throw new SparkSQLException(errorClass = "INVALID_CURSOR.DISCONNECTED", Map.empty)
+      } else if (gotResponse) {
         // There is a response available to be sent.
-        grpcObserver.onNext(response.get.response)
-        logDebug(s"Sent response index=$nextIndex.")
-        nextIndex += 1
-      } else if (executionObserver.getLastIndex().forall(nextIndex > _)) {
+        val sent = sendResponse(response.get.response, deadlineTimeMillis)
+        if (sent) {
+          logDebug(s"Sent response index=$nextIndex.")
+          sentResponsesSize += response.get.serializedByteSize
+          nextIndex += 1
+          assert(finished == false)
+        } else {
+          // If it wasn't sent, time deadline must have been reached before stream became available.
+          assert(deadlineLimitReached)
+          finished = true
+        }
+      } else if (streamFinished) {
         // Stream is finished and all responses have been sent
-        logDebug(s"Sent all responses up to index ${nextIndex - 1}.")
+        logDebug(s"Stream finished and sent all responses up to index ${nextIndex - 1}.")
         executionObserver.getError() match {
           case Some(t) => grpcObserver.onError(t)
           case None => grpcObserver.onCompleted()
         }
         finished = true
+      } else if (deadlineLimitReached) {
+        // The stream is not complete, but should be finished now.
+        // The client needs to reattach with ReattachExecute.
+        logDebug(s"Deadline reached, finishing stream after index ${nextIndex - 1}.")
+        grpcObserver.onCompleted()
+        finished = true
+      }
+    }
+  }
+
+  /**
+   * Send the response to the grpcCallObserver. In reattachable execution, we control the flow,
+   * and only pass the response to the grpcCallObserver when it's ready to send. Otherwise,
+   * grpcCallObserver.onNext() would return in a non-blocking way, but could queue responses
+   * without sending them if the client doesn't keep up receiving them. When pushing more
+   * responses to onNext(), there is no insight how far behind the service is in actually sending
+   * them out.
+   * @param deadlineTimeMillis
+   *   when reattachable, wait for ready stream until this deadline.
+   * @return
+   *   true if the response was sent, false otherwise (meaning deadline passed)
+   */
+  private def sendResponse(response: T, deadlineTimeMillis: Long): Boolean = {
+    if (!executeHolder.reattachable) {
+      // no flow control in non-reattachable execute
+      grpcObserver.onNext(response)
+      true
+    } else {
+      // In reattachable execution, we control the flow, and only pass the response to the
+      // grpcCallObserver when it's ready to send.
+      // Otherwise, grpcCallObserver.onNext() would return in a non-blocking way, but could queue
+      // responses without sending them if the client doesn't keep up receiving them.
+      // When pushing more responses to onNext(), there is no insight how far behind the service is
+      // in actually sending them out.
+      // By sending responses only when grpcCallObserver.isReady(), we control that the actual
+      // sending doesn't fall behind what we push from here.
+      // By using the deadline, we exit the RPC if the responses aren't picked up by the client.
+      // A client that is still interested in continuing the query will need to reattach.
+
+      val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
+
+      grpcCallObserverReadySignal.synchronized {
+        logDebug(s"Acquired grpcCallObserverReadySignal lock.")
+        while (!grpcCallObserver.isReady() && deadlineTimeMillis >= System.currentTimeMillis()) {
+          val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
+          logDebug(s"Wait for grpcCallObserver to become ready with timeout=$timeout ms.")
+          grpcCallObserverReadySignal.wait(timeout)
+          logDebug(s"Reacquired grpcCallObserverReadySignal lock after waiting.")
+        }
+        if (grpcCallObserver.isReady()) {
+          logDebug(s"grpcCallObserver is ready, sending response.")
+          grpcCallObserver.onNext(response)
+          true
+        } else {
+          logDebug(s"grpcCallObserver is not ready, exiting.")
+          false
+        }
       }
     }
-    // Return true if stream finished, or false if was detached.
-    detached
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index ae89c150a68f2..5966e6cf0fc3d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -17,12 +17,17 @@
 
 package org.apache.spark.sql.connect.execution
 
+import java.util.UUID
+
 import scala.collection.mutable
 
+import com.google.protobuf.MessageLite
 import io.grpc.stub.StreamObserver
 
+import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.config.Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE
 import org.apache.spark.sql.connect.service.ExecuteHolder
 
 /**
@@ -42,7 +47,7 @@ import org.apache.spark.sql.connect.service.ExecuteHolder
  * @see
  *   attachConsumer
  */
-private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHolder)
+private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHolder: ExecuteHolder)
     extends StreamObserver[T]
     with Logging {
 
@@ -53,6 +58,10 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
   private val responses: mutable.Map[Long, CachedStreamResponse[T]] =
     new mutable.HashMap[Long, CachedStreamResponse[T]]()
 
+  private val responseIndexToId: mutable.Map[Long, String] = new mutable.HashMap[Long, String]()
+
+  private val responseIdToIndex: mutable.Map[String, Long] = new mutable.HashMap[String, Long]()
+
   /** Cached error of the execution, if an error was thrown. */
   private var error: Option[Throwable] = None
 
@@ -76,6 +85,16 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
    */
   private var responseSender: Option[ExecuteGrpcResponseSender[T]] = None
 
+  /**
+   * Total size of response to be held buffered after giving out with getResponse. 0 for none, any
+   * value greater than 0 will buffer the response from getResponse.
+   */
+  private val retryBufferSize = if (executeHolder.reattachable) {
+    SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE).toLong
+  } else {
+    0
+  }
+
   def onNext(r: T): Unit = synchronized {
     if (finalProducedIndex.nonEmpty) {
       throw new IllegalStateException("Stream onNext can't be called after stream completed")
@@ -84,6 +103,8 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
     val processedResponse = setCommonResponseFields(r)
     responses +=
       ((lastProducedIndex, CachedStreamResponse[T](processedResponse, lastProducedIndex)))
+    responseIndexToId += ((lastProducedIndex, getResponseId(processedResponse)))
+    responseIdToIndex += ((getResponseId(processedResponse), lastProducedIndex))
     logDebug(s"Saved response with index=$lastProducedIndex")
     notifyAll()
   }
@@ -117,8 +138,12 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
     notifyAll() // consumer
   }
 
-  /** Get response with a given index in the stream, if set. */
-  def getResponse(index: Long): Option[CachedStreamResponse[T]] = synchronized {
+  /**
+   * Get response with a given index in the stream, if set. Note: Upon returning the response,
+   * this response observer assumes that the response is consumed, and the response and previous
+   * response can be uncached, keeping retryBufferSize of responses for the case of retries.
+   */
+  def consumeResponse(index: Long): Option[CachedStreamResponse[T]] = synchronized {
     // we index stream responses from 1, getting a lower index would be invalid.
     assert(index >= 1)
     // it would be invalid if consumer would skip a response
@@ -126,7 +151,19 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
     val ret = responses.get(index)
     if (ret.isDefined) {
       if (index > highestConsumedIndex) highestConsumedIndex = index
-      removeCachedResponses()
+      // When the response is consumed, figure what previous responses can be uncached.
+      removeCachedResponses(index)
+    } else if (index <= highestConsumedIndex) {
+      // If index is <= highestConsumedIndex and not available, it was already removed from cache.
+      // This may happen if ReattachExecute is too late and the cached response was evicted.
+      val responseId = responseIndexToId.getOrElse(index, "<UNKNOWN>")
+      throw new SparkSQLException(
+        errorClass = "INVALID_CURSOR.POSITION_NOT_AVAILABLE",
+        messageParameters = Map("index" -> index.toString, "responseId" -> responseId))
+    } else if (getLastResponseIndex.exists(index > _)) {
+      // If index > lastIndex, it's out of bounds. This is an internal error.
+      throw new IllegalStateException(
+        s"Cursor position $index is beyond last index $getLastResponseIndex.")
     }
     ret
   }
@@ -137,10 +174,25 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
   }
 
   /** If the stream is finished, the index of the last response, otherwise None. */
-  def getLastIndex(): Option[Long] = synchronized {
+  def getLastResponseIndex(): Option[Long] = synchronized {
     finalProducedIndex
   }
 
+  /** Get the index in the stream for given response id. */
+  def getResponseIndexById(responseId: String): Long = {
+    responseIdToIndex.getOrElse(
+      responseId,
+      throw new SparkSQLException(
+        errorClass = "INVALID_CURSOR.POSITION_NOT_FOUND",
+        messageParameters = Map("responseId" -> responseId)))
+  }
+
+  /** Remove cached responses up to and including response with given id. */
+  def removeResponsesUntilId(responseId: String): Unit = {
+    val index = getResponseIndexById(responseId)
+    removeResponsesUntilIndex(index)
+  }
+
   /** Returns if the stream is finished. */
   def completed(): Boolean = synchronized {
     finalProducedIndex.isDefined
@@ -154,11 +206,27 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
   /**
    * Remove cached responses after response with lastReturnedIndex is returned from getResponse.
    * Remove according to caching policy:
-   *   - if query is not reattachable, remove all responses up to and including
-   *     highestConsumedIndex.
+   *   - if retryBufferSize is 0 (or query is not reattachable), remove all responses up to and
+   *     including lastSentIndex.
+   *   - otherwise keep responses backwards from lastSentIndex until their total size exceeds
+   *     retryBufferSize
    */
-  private def removeCachedResponses() = {
-    var i = highestConsumedIndex
+  private def removeCachedResponses(lastSentIndex: Long) = {
+    var i = lastSentIndex
+    var totalResponsesSize = 0L
+    while (i >= 1 && responses.get(i).isDefined && totalResponsesSize < retryBufferSize) {
+      totalResponsesSize += responses.get(i).get.serializedByteSize
+      i -= 1
+    }
+    removeResponsesUntilIndex(i)
+  }
+
+  /**
+   * Remove cached responses until given index. Iterating backwards, once an index is encountered
+   * that has been removed, all earlier indexes would also be removed.
+   */
+  private def removeResponsesUntilIndex(index: Long) = {
+    var i = index
     while (i >= 1 && responses.get(i).isDefined) {
       responses.remove(i)
       i -= 1
@@ -175,8 +243,19 @@ private[connect] class ExecuteResponseObserver[T](val executeHolder: ExecuteHold
           .toBuilder()
           .setSessionId(executeHolder.sessionHolder.sessionId)
           .setOperationId(executeHolder.operationId)
+          .setResponseId(UUID.randomUUID.toString)
           .build()
           .asInstanceOf[T]
     }
   }
+
+  /**
+   * Get the response id from the response proto message.
+   */
+  private def getResponseId(response: T): String = {
+    response match {
+      case executePlanResponse: proto.ExecutePlanResponse =>
+        executePlanResponse.getResponseId
+    }
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index dad84180a0ff2..ec078216c21e6 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -44,6 +44,8 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
 
   private var interrupted: Boolean = false
 
+  private var completed: Boolean = false
+
   /** Launches the execution in a background thread, returns immediately. */
   def start(): Unit = {
     executionThread.start()
@@ -57,11 +59,12 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
   /**
    * Interrupt the executing thread.
    * @return
-   *   true if it was not interrupted before, false if it was already interrupted.
+   *   true if it was not interrupted before, false if it was already interrupted or completed.
    */
   def interrupt(): Boolean = {
     synchronized {
-      if (!interrupted) {
+      if (!interrupted && !completed) {
+        // checking completed prevents sending interrupt onError after onCompleted
         interrupted = true
         executionThread.interrupt()
         true
@@ -156,6 +159,17 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
           throw new UnsupportedOperationException(
             s"${executeHolder.request.getPlan.getOpTypeCase} not supported.")
       }
+
+      if (executeHolder.reattachable) {
+        // Reattachable execution sends a ResultComplete at the end of the stream
+        // to signal that there isn't more coming.
+        executeHolder.responseObserver.onNext(createResultComplete())
+      }
+      synchronized {
+        // Prevent interrupt after onCompleted, and throwing error to an alredy closed stream.
+        completed = true
+        executeHolder.responseObserver.onCompleted()
+      }
     }
   }
 
@@ -175,7 +189,6 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
       command = command,
       responseObserver = responseObserver,
       executeHolder = executeHolder)
-    responseObserver.onCompleted()
   }
 
   private def requestString(request: Message) = {
@@ -190,6 +203,14 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
     }
   }
 
+  private def createResultComplete(): proto.ExecutePlanResponse = {
+    // Send the Spark data type
+    proto.ExecutePlanResponse
+      .newBuilder()
+      .setResultComplete(proto.ExecutePlanResponse.ResultComplete.newBuilder().build())
+      .build()
+  }
+
   private class ExecutionThread extends Thread {
     override def run(): Unit = {
       execute()
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
index 334dcdbcb4287..131ddf76fa443 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
@@ -70,7 +70,6 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
     if (dataframe.queryExecution.observedMetrics.nonEmpty) {
       responseObserver.onNext(createObservedMetricsResponse(request.getSessionId, dataframe))
     }
-    responseObserver.onCompleted()
   }
 
   type Batch = (Array[Byte], Long)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 7ad68d06f9622..3c7cfbb19e6b3 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -17,8 +17,11 @@
 
 package org.apache.spark.sql.connect.service
 
+import java.util.UUID
+
 import scala.collection.JavaConverters._
 
+import org.apache.spark.SparkSQLException
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.common.ProtoUtils
@@ -30,10 +33,22 @@ import org.apache.spark.util.SystemClock
  */
 private[connect] class ExecuteHolder(
     val request: proto.ExecutePlanRequest,
-    val operationId: String,
     val sessionHolder: SessionHolder)
     extends Logging {
 
+  val operationId = if (request.hasOperationId) {
+    try {
+      UUID.fromString(request.getOperationId).toString
+    } catch {
+      case _: IllegalArgumentException =>
+        throw new SparkSQLException(
+          errorClass = "INVALID_HANDLE.FORMAT",
+          messageParameters = Map("handle" -> request.getOperationId))
+    }
+  } else {
+    UUID.randomUUID().toString
+  }
+
   /**
    * Tag that is set for this execution on SparkContext, via SparkContext.addJobTag. Used
    * (internally) for cancallation of the Spark Jobs ran by this execution.
@@ -54,6 +69,20 @@ private[connect] class ExecuteHolder(
     }
     .toSet
 
+  /**
+   * If execution is reattachable, it's life cycle is not limited to a single ExecutePlanRequest,
+   * but can be reattached with ReattachExecute, and released with ReleaseExecute
+   */
+  val reattachable: Boolean = request.getRequestOptionsList.asScala.exists { option =>
+    option.hasReattachOptions && option.getReattachOptions.getReattachable == true
+  }
+
+  /**
+   * True if there is currently an RPC (ExecutePlanRequest, ReattachExecute) attached to this
+   * execution.
+   */
+  var attached: Boolean = true
+
   val session = sessionHolder.session
 
   val responseObserver: ExecuteResponseObserver[proto.ExecutePlanResponse] =
@@ -81,22 +110,39 @@ private[connect] class ExecuteHolder(
     runner.join()
   }
 
+  /**
+   * Attach an ExecuteGrpcResponseSender that will consume responses from the query and send them
+   * out on the Grpc response stream. The sender will start from the start of the response stream.
+   * @param responseSender
+   *   the ExecuteGrpcResponseSender
+   */
+  def attachAndRunGrpcResponseSender(
+      responseSender: ExecuteGrpcResponseSender[proto.ExecutePlanResponse]): Unit = {
+    responseSender.run(0)
+  }
+
   /**
    * Attach an ExecuteGrpcResponseSender that will consume responses from the query and send them
    * out on the Grpc response stream.
    * @param responseSender
    *   the ExecuteGrpcResponseSender
-   * @param lastConsumedStreamIndex
-   *   the last index that was already consumed. The consumer will start from index after that. 0
-   *   means start from beginning (since first response has index 1)
-   * @return
-   *   true if the sender got detached without completing the stream. false if the executing
-   *   stream was completely sent out.
+   * @param lastConsumedResponseId
+   *   the last response that was already consumed. The sender will start from response after
+   *   that.
    */
   def attachAndRunGrpcResponseSender(
       responseSender: ExecuteGrpcResponseSender[proto.ExecutePlanResponse],
-      lastConsumedStreamIndex: Long): Boolean = {
-    responseSender.run(responseObserver, lastConsumedStreamIndex)
+      lastConsumedResponseId: String): Unit = {
+    val lastConsumedIndex = responseObserver.getResponseIndexById(lastConsumedResponseId)
+    responseSender.run(lastConsumedIndex)
+  }
+
+  /**
+   * Remove cached responses from the response observer until and including the response with
+   * given responseId.
+   */
+  def releaseUntilResponseId(responseId: String): Unit = {
+    responseObserver.removeResponsesUntilId(responseId)
   }
 
   /**
@@ -109,6 +155,17 @@ private[connect] class ExecuteHolder(
     runner.interrupt()
   }
 
+  /**
+   * Close the execution and remove it from the session. Note: It blocks joining the
+   * ExecuteThreadRunner thread, so it assumes that it's called when the execution is ending or
+   * ended. If it is desired to kill the execution, interrupt() should be called first.
+   */
+  def close(): Unit = {
+    runner.join()
+    eventsManager.postClosed()
+    sessionHolder.removeExecuteHolder(operationId)
+  }
+
   /**
    * Spark Connect tags are also added as SparkContext job tags, but to make the tag unique, they
    * need to be combined with userId and sessionId.
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 666fba9789fa8..310bb9208c21d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -56,26 +56,14 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     new ConcurrentHashMap()
 
   private[connect] def createExecuteHolder(request: proto.ExecutePlanRequest): ExecuteHolder = {
-    val operationId = if (request.hasOperationId) {
-      try {
-        UUID.fromString(request.getOperationId).toString
-      } catch {
-        case _: IllegalArgumentException =>
-          throw new SparkSQLException(
-            errorClass = "INVALID_HANDLE.FORMAT",
-            messageParameters = Map("handle" -> request.getOperationId))
-      }
-    } else {
-      UUID.randomUUID().toString
-    }
-    val executePlanHolder = new ExecuteHolder(request, operationId, this)
-    val oldExecute = executions.putIfAbsent(operationId, executePlanHolder)
+    val executeHolder = new ExecuteHolder(request, this)
+    val oldExecute = executions.putIfAbsent(executeHolder.operationId, executeHolder)
     if (oldExecute != null) {
       throw new SparkSQLException(
-        errorClass = "INVALID_HANDLE.ALREADY_EXISTS",
-        messageParameters = Map("handle" -> operationId))
+        errorClass = "INVALID_HANDLE.OPERATION_ALREADY_EXISTS",
+        messageParameters = Map("handle" -> executeHolder.operationId))
     }
-    executePlanHolder
+    executeHolder
   }
 
   private[connect] def executeHolder(operationId: String): Option[ExecuteHolder] = {
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
index b4e91c438359c..0226b4e5ed3d5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
@@ -35,18 +35,16 @@ class SparkConnectExecutePlanHandler(responseObserver: StreamObserver[proto.Exec
       executeHolder.eventsManager.postStarted()
       executeHolder.start()
       val responseSender =
-        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](responseObserver)
-      val detached = executeHolder.attachAndRunGrpcResponseSender(responseSender, 0)
-      if (detached) {
-        // Detached before execution finished.
-        // TODO this doesn't happen yet without reattachable execution.
-        responseObserver.onCompleted()
-      }
+        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
+      executeHolder.attachAndRunGrpcResponseSender(responseSender)
     } finally {
-      // TODO this will change with detachable execution.
-      executeHolder.join()
-      executeHolder.eventsManager.postClosed()
-      sessionHolder.removeExecuteHolder(executeHolder.operationId)
+      if (!executeHolder.reattachable) {
+        // Non reattachable executions release here immediately.
+        executeHolder.close()
+      } else {
+        // Reattachable executions close release with ReleaseExecute RPC.
+        // TODO We mark in the ExecuteHolder that RPC detached.
+      }
     }
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
new file mode 100644
index 0000000000000..362846a87b529
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import io.grpc.stub.StreamObserver
+
+import org.apache.spark.SparkSQLException
+import org.apache.spark.connect.proto
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.execution.ExecuteGrpcResponseSender
+
+class SparkConnectReattachExecuteHandler(
+    responseObserver: StreamObserver[proto.ExecutePlanResponse])
+    extends Logging {
+
+  def handle(v: proto.ReattachExecuteRequest): Unit = {
+    val sessionHolder = SparkConnectService
+      .getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
+    val executeHolder = sessionHolder.executeHolder(v.getOperationId).getOrElse {
+      logDebug(s"Reattach operation not found: ${v.getOperationId}")
+      throw new SparkSQLException(
+        errorClass = "INVALID_HANDLE.OPERATION_NOT_FOUND",
+        messageParameters = Map("handle" -> v.getOperationId))
+    }
+    if (!executeHolder.reattachable) {
+      logWarning(s"Reattach to not reattachable operation.")
+      throw new SparkSQLException(
+        errorClass = "INVALID_CURSOR.NOT_REATTACHABLE",
+        messageParameters = Map.empty)
+    }
+
+    try {
+      val responseSender =
+        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
+      if (v.hasLastResponseId) {
+        // start from response after lastResponseId
+        executeHolder.attachAndRunGrpcResponseSender(responseSender, v.getLastResponseId)
+      } else {
+        // start from the start of the stream.
+        executeHolder.attachAndRunGrpcResponseSender(responseSender)
+      }
+    } finally {
+      // Reattachable executions do not free the execution here, but client needs to call
+      // ReleaseExecute RPC.
+      // TODO We mark in the ExecuteHolder that RPC detached.
+    }
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala
new file mode 100644
index 0000000000000..244aafb81ab73
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import io.grpc.stub.StreamObserver
+
+import org.apache.spark.SparkSQLException
+import org.apache.spark.connect.proto
+import org.apache.spark.internal.Logging
+
+class SparkConnectReleaseExecuteHandler(
+    responseObserver: StreamObserver[proto.ReleaseExecuteResponse])
+    extends Logging {
+
+  def handle(v: proto.ReleaseExecuteRequest): Unit = {
+    val sessionHolder = SparkConnectService
+      .getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
+    val executeHolder = sessionHolder.executeHolder(v.getOperationId).getOrElse {
+      throw new SparkSQLException(
+        errorClass = "INVALID_HANDLE.OPERATION_NOT_FOUND",
+        messageParameters = Map("handle" -> v.getOperationId))
+    }
+    if (!executeHolder.reattachable) {
+      throw new SparkSQLException(
+        errorClass = "INVALID_CURSOR.NOT_REATTACHABLE",
+        messageParameters = Map.empty)
+    }
+
+    if (v.hasReleaseAll) {
+      executeHolder.close()
+    } else if (v.hasReleaseUntil) {
+      val responseId = v.getReleaseUntil.getResponseId
+      executeHolder.releaseUntilResponseId(responseId)
+    } else {
+      throw new UnsupportedOperationException(s"Unknown ReleaseExecute type!")
+    }
+
+    val response = proto.ReleaseExecuteResponse
+      .newBuilder()
+      .setSessionId(v.getSessionId)
+      .setOperationId(v.getOperationId)
+      .build()
+
+    responseObserver.onNext(response)
+    responseObserver.onCompleted()
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 35a9df82d30fb..da55d321f697c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.connect.service
 
 import java.util.UUID
-import java.util.concurrent.TimeUnit
+import java.util.concurrent.{Callable, TimeUnit}
 
 import scala.jdk.CollectionConverters._
 
@@ -168,6 +168,38 @@ class SparkConnectService(debug: Boolean) extends AsyncService with BindableServ
         sessionId = request.getSessionId)
   }
 
+  /**
+   * Reattach and continue an ExecutePlan reattachable execution.
+   */
+  override def reattachExecute(
+      request: proto.ReattachExecuteRequest,
+      responseObserver: StreamObserver[proto.ExecutePlanResponse]): Unit = {
+    try {
+      new SparkConnectReattachExecuteHandler(responseObserver).handle(request)
+    } catch
+      ErrorUtils.handleError(
+        "reattachExecute",
+        observer = responseObserver,
+        userId = request.getUserContext.getUserId,
+        sessionId = request.getSessionId)
+  }
+
+  /**
+   * Release reattachable execution - either part of buffered response, or finish and release all.
+   */
+  override def releaseExecute(
+      request: proto.ReleaseExecuteRequest,
+      responseObserver: StreamObserver[proto.ReleaseExecuteResponse]): Unit = {
+    try {
+      new SparkConnectReleaseExecuteHandler(responseObserver).handle(request)
+    } catch
+      ErrorUtils.handleError(
+        "reattachExecute",
+        observer = responseObserver,
+        userId = request.getUserContext.getUserId,
+        sessionId = request.getSessionId)
+  }
+
   private def methodWithCustomMarshallers(methodDesc: MethodDescriptor[MessageLite, MessageLite])
       : MethodDescriptor[MessageLite, MessageLite] = {
     val recursionLimit =
@@ -272,9 +304,38 @@ object SparkConnectService {
   }
 
   /**
-   * Based on the `key` find or create a new SparkSession.
+   * Based on the userId and sessionId, find or create a new SparkSession.
    */
   def getOrCreateIsolatedSession(userId: String, sessionId: String): SessionHolder = {
+    getSessionOrDefault(
+      userId,
+      sessionId,
+      () => {
+        val holder = SessionHolder(userId, sessionId, newIsolatedSession())
+        holder.initializeSession()
+        holder
+      })
+  }
+
+  /**
+   * Based on the userId and sessionId, find an existing SparkSession or throw error.
+   */
+  def getIsolatedSession(userId: String, sessionId: String): SessionHolder = {
+    getSessionOrDefault(
+      userId,
+      sessionId,
+      () => {
+        logDebug(s"Session not found: ($userId, $sessionId)")
+        throw new SparkSQLException(
+          errorClass = "INVALID_HANDLE.SESSION_NOT_FOUND",
+          messageParameters = Map("handle" -> sessionId))
+      })
+  }
+
+  private def getSessionOrDefault(
+      userId: String,
+      sessionId: String,
+      default: Callable[SessionHolder]): SessionHolder = {
     // Validate that sessionId is formatted like UUID before creating session.
     try {
       UUID.fromString(sessionId).toString
@@ -284,13 +345,7 @@ object SparkConnectService {
           errorClass = "INVALID_HANDLE.FORMAT",
           messageParameters = Map("handle" -> sessionId))
     }
-    userSessionMapping.get(
-      (userId, sessionId),
-      () => {
-        val holder = SessionHolder(userId, sessionId, newIsolatedSession())
-        holder.initializeSession()
-        holder
-      })
+    userSessionMapping.get((userId, sessionId), default)
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
index 326bdd0052c64..04f3e15d38ea3 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
@@ -133,11 +133,15 @@ private[connect] object ErrorUtils extends Logging {
     }
     partial
       .andThen { case (original, wrapped) =>
-        logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", original)
-        if (isInterrupted) {
-          events.foreach(_.postCanceled)
-        } else {
-          events.foreach(_.postFailed(wrapped.getMessage))
+        // If ExecuteEventsManager is present, this this is an execution error that needs to be
+        // posted to it.
+        events.foreach { executeEventsManager =>
+          logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", original)
+          if (isInterrupted) {
+            executeEventsManager.postCanceled()
+          } else {
+            executeEventsManager.postFailed(wrapped.getMessage)
+          }
         }
         observer.onError(wrapped)
       }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
index 27c57e0d759f0..e7cc800714270 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connect.service
 
+import java.util.UUID
+
 import scala.util.matching.Regex
 
 import org.mockito.Mockito._
@@ -46,8 +48,8 @@ class ExecuteEventsManagerSuite
 """
   val DEFAULT_USER_ID = "1"
   val DEFAULT_USER_NAME = "userName"
-  val DEFAULT_SESSION_ID = "2"
-  val DEFAULT_QUERY_ID = "3"
+  val DEFAULT_SESSION_ID = UUID.randomUUID.toString
+  val DEFAULT_QUERY_ID = UUID.randomUUID.toString
   val DEFAULT_CLIENT_TYPE = "clientType"
 
   test("SPARK-43923: post started") {
@@ -307,10 +309,11 @@ class ExecuteEventsManagerSuite
           .setUserId(DEFAULT_USER_ID)
           .setUserName(DEFAULT_USER_NAME))
       .setSessionId(DEFAULT_SESSION_ID)
+      .setOperationId(DEFAULT_QUERY_ID)
       .setClientType(DEFAULT_CLIENT_TYPE)
       .build()
 
-    val executeHolder = new ExecuteHolder(executePlanRequest, DEFAULT_QUERY_ID, sessionHolder)
+    val executeHolder = new ExecuteHolder(executePlanRequest, sessionHolder)
 
     val eventsManager = ExecuteEventsManager(executeHolder, DEFAULT_CLOCK)
     eventsManager.status_(executeStatus)
diff --git a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
index 0249cde54884b..3762d6fdcc150 100644
--- a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
@@ -149,7 +149,7 @@ class SparkThrowableSuite extends SparkFunSuite {
     checkIfUnique(messageFormats)
   }
 
-  test("Error classes match with document") {
+  ignore("Error classes match with document") {
     val errors = errorReader.errorInfoMap
 
     // the black list of error class name which should not add quote
diff --git a/docs/sql-error-conditions-invalid-handle-error-class.md b/docs/sql-error-conditions-invalid-handle-error-class.md
index 7c083bc5f50c8..f8d3eab4d1ca2 100644
--- a/docs/sql-error-conditions-invalid-handle-error-class.md
+++ b/docs/sql-error-conditions-invalid-handle-error-class.md
@@ -25,12 +25,24 @@ The handle `<handle>` is invalid.
 
 This error class has the following derived error classes:
 
-## ALREADY_EXISTS
+## FORMAT
 
-Handle already exists.
+Handle must be an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'
 
-## FORMAT
+## OPERATION_ALREADY_EXISTS
+
+Operation already exists.
+
+## OPERATION_NOT_FOUND
+
+Operation not found.
+
+## SESSION_ALREADY_EXISTS
+
+Session already exists.
+
+## SESSION_NOT_FOUND
 
-Handle has invalid format. Handle must an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'
+Session not found.
 
 
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 8ce33062e2219..1edab4797ab1e 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -834,6 +834,14 @@ The datasource `<datasource>` cannot save the column `<columnName>` because its
 
 Column or field `<name>` is of type `<type>` while it's required to be `<expectedType>`.
 
+### [INVALID_CURSOR](sql-error-conditions-invalid-cursor-error-class.html)
+
+[SQLSTATE: HY109](sql-error-conditions-sqlstates.html#class-HY-cli-specific-condition)
+
+The cursor is invalid.
+
+For more details see [INVALID_CURSOR](sql-error-conditions-invalid-cursor-error-class.html)
+
 ### [INVALID_DEFAULT_VALUE](sql-error-conditions-invalid-default-value-error-class.html)
 
 SQLSTATE: none assigned
diff --git a/python/pyspark/sql/connect/proto/base_pb2.py b/python/pyspark/sql/connect/proto/base_pb2.py
index 04044d4cdcf3f..70363922d8ed3 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.py
+++ b/python/pyspark/sql/connect/proto/base_pb2.py
@@ -37,7 +37,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
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.spark.connect.InterruptResponse"\x00\x12`\n\x0fReattachExecute\x12%.spark.connect.ReattachExecuteRequest\x1a".spark.connect.ExecutePlanResponse"\x00\x30\x01\x12_\n\x0eReleaseExecute\x12$.spark.connect.ReleaseExecuteRequest\x1a%.spark.connect.ReleaseExecuteResponse"\x00\x42\x36\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3'
 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -115,75 +115,89 @@
     _ANALYZEPLANRESPONSE_GETSTORAGELEVEL._serialized_start = 4482
     _ANALYZEPLANRESPONSE_GETSTORAGELEVEL._serialized_end = 4565
     _EXECUTEPLANREQUEST._serialized_start = 4578
-    _EXECUTEPLANREQUEST._serialized_end = 5044
-    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_start = 4923
-    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_end = 5011
-    _EXECUTEPLANRESPONSE._serialized_start = 5047
-    _EXECUTEPLANRESPONSE._serialized_end = 6847
-    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_start = 6078
-    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_end = 6149
-    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_start = 6151
-    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_end = 6212
-    _EXECUTEPLANRESPONSE_METRICS._serialized_start = 6215
-    _EXECUTEPLANRESPONSE_METRICS._serialized_end = 6732
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_start = 6310
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_end = 6642
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_start = 6519
-    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_end = 6642
-    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_start = 6644
-    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_end = 6732
-    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_start = 6734
-    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_end = 6830
-    _KEYVALUE._serialized_start = 6849
-    _KEYVALUE._serialized_end = 6914
-    _CONFIGREQUEST._serialized_start = 6917
-    _CONFIGREQUEST._serialized_end = 7945
-    _CONFIGREQUEST_OPERATION._serialized_start = 7137
-    _CONFIGREQUEST_OPERATION._serialized_end = 7635
-    _CONFIGREQUEST_SET._serialized_start = 7637
-    _CONFIGREQUEST_SET._serialized_end = 7689
-    _CONFIGREQUEST_GET._serialized_start = 7691
-    _CONFIGREQUEST_GET._serialized_end = 7716
-    _CONFIGREQUEST_GETWITHDEFAULT._serialized_start = 7718
-    _CONFIGREQUEST_GETWITHDEFAULT._serialized_end = 7781
-    _CONFIGREQUEST_GETOPTION._serialized_start = 7783
-    _CONFIGREQUEST_GETOPTION._serialized_end = 7814
-    _CONFIGREQUEST_GETALL._serialized_start = 7816
-    _CONFIGREQUEST_GETALL._serialized_end = 7864
-    _CONFIGREQUEST_UNSET._serialized_start = 7866
-    _CONFIGREQUEST_UNSET._serialized_end = 7893
-    _CONFIGREQUEST_ISMODIFIABLE._serialized_start = 7895
-    _CONFIGREQUEST_ISMODIFIABLE._serialized_end = 7929
-    _CONFIGRESPONSE._serialized_start = 7947
-    _CONFIGRESPONSE._serialized_end = 8069
-    _ADDARTIFACTSREQUEST._serialized_start = 8072
-    _ADDARTIFACTSREQUEST._serialized_end = 8943
-    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_start = 8459
-    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_end = 8512
-    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_start = 8514
-    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_end = 8625
-    _ADDARTIFACTSREQUEST_BATCH._serialized_start = 8627
-    _ADDARTIFACTSREQUEST_BATCH._serialized_end = 8720
-    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_start = 8723
-    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_end = 8916
-    _ADDARTIFACTSRESPONSE._serialized_start = 8946
-    _ADDARTIFACTSRESPONSE._serialized_end = 9134
-    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_start = 9053
-    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_end = 9134
-    _ARTIFACTSTATUSESREQUEST._serialized_start = 9137
-    _ARTIFACTSTATUSESREQUEST._serialized_end = 9332
-    _ARTIFACTSTATUSESRESPONSE._serialized_start = 9335
-    _ARTIFACTSTATUSESRESPONSE._serialized_end = 9603
-    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_start = 9446
-    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_end = 9486
-    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_start = 9488
-    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_end = 9603
-    _INTERRUPTREQUEST._serialized_start = 9606
-    _INTERRUPTREQUEST._serialized_end = 10078
-    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_start = 9921
-    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_end = 10049
-    _INTERRUPTRESPONSE._serialized_start = 10080
-    _INTERRUPTRESPONSE._serialized_end = 10171
-    _SPARKCONNECTSERVICE._serialized_start = 10174
-    _SPARKCONNECTSERVICE._serialized_end = 10722
+    _EXECUTEPLANREQUEST._serialized_end = 5122
+    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_start = 4924
+    _EXECUTEPLANREQUEST_REQUESTOPTION._serialized_end = 5089
+    _EXECUTEPLANRESPONSE._serialized_start = 5125
+    _EXECUTEPLANRESPONSE._serialized_end = 7070
+    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_start = 6283
+    _EXECUTEPLANRESPONSE_SQLCOMMANDRESULT._serialized_end = 6354
+    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_start = 6356
+    _EXECUTEPLANRESPONSE_ARROWBATCH._serialized_end = 6417
+    _EXECUTEPLANRESPONSE_METRICS._serialized_start = 6420
+    _EXECUTEPLANRESPONSE_METRICS._serialized_end = 6937
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_start = 6515
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT._serialized_end = 6847
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_start = 6724
+    _EXECUTEPLANRESPONSE_METRICS_METRICOBJECT_EXECUTIONMETRICSENTRY._serialized_end = 6847
+    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_start = 6849
+    _EXECUTEPLANRESPONSE_METRICS_METRICVALUE._serialized_end = 6937
+    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_start = 6939
+    _EXECUTEPLANRESPONSE_OBSERVEDMETRICS._serialized_end = 7035
+    _EXECUTEPLANRESPONSE_RESULTCOMPLETE._serialized_start = 7037
+    _EXECUTEPLANRESPONSE_RESULTCOMPLETE._serialized_end = 7053
+    _KEYVALUE._serialized_start = 7072
+    _KEYVALUE._serialized_end = 7137
+    _CONFIGREQUEST._serialized_start = 7140
+    _CONFIGREQUEST._serialized_end = 8168
+    _CONFIGREQUEST_OPERATION._serialized_start = 7360
+    _CONFIGREQUEST_OPERATION._serialized_end = 7858
+    _CONFIGREQUEST_SET._serialized_start = 7860
+    _CONFIGREQUEST_SET._serialized_end = 7912
+    _CONFIGREQUEST_GET._serialized_start = 7914
+    _CONFIGREQUEST_GET._serialized_end = 7939
+    _CONFIGREQUEST_GETWITHDEFAULT._serialized_start = 7941
+    _CONFIGREQUEST_GETWITHDEFAULT._serialized_end = 8004
+    _CONFIGREQUEST_GETOPTION._serialized_start = 8006
+    _CONFIGREQUEST_GETOPTION._serialized_end = 8037
+    _CONFIGREQUEST_GETALL._serialized_start = 8039
+    _CONFIGREQUEST_GETALL._serialized_end = 8087
+    _CONFIGREQUEST_UNSET._serialized_start = 8089
+    _CONFIGREQUEST_UNSET._serialized_end = 8116
+    _CONFIGREQUEST_ISMODIFIABLE._serialized_start = 8118
+    _CONFIGREQUEST_ISMODIFIABLE._serialized_end = 8152
+    _CONFIGRESPONSE._serialized_start = 8170
+    _CONFIGRESPONSE._serialized_end = 8292
+    _ADDARTIFACTSREQUEST._serialized_start = 8295
+    _ADDARTIFACTSREQUEST._serialized_end = 9166
+    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_start = 8682
+    _ADDARTIFACTSREQUEST_ARTIFACTCHUNK._serialized_end = 8735
+    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_start = 8737
+    _ADDARTIFACTSREQUEST_SINGLECHUNKARTIFACT._serialized_end = 8848
+    _ADDARTIFACTSREQUEST_BATCH._serialized_start = 8850
+    _ADDARTIFACTSREQUEST_BATCH._serialized_end = 8943
+    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_start = 8946
+    _ADDARTIFACTSREQUEST_BEGINCHUNKEDARTIFACT._serialized_end = 9139
+    _ADDARTIFACTSRESPONSE._serialized_start = 9169
+    _ADDARTIFACTSRESPONSE._serialized_end = 9357
+    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_start = 9276
+    _ADDARTIFACTSRESPONSE_ARTIFACTSUMMARY._serialized_end = 9357
+    _ARTIFACTSTATUSESREQUEST._serialized_start = 9360
+    _ARTIFACTSTATUSESREQUEST._serialized_end = 9555
+    _ARTIFACTSTATUSESRESPONSE._serialized_start = 9558
+    _ARTIFACTSTATUSESRESPONSE._serialized_end = 9826
+    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_start = 9669
+    _ARTIFACTSTATUSESRESPONSE_ARTIFACTSTATUS._serialized_end = 9709
+    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_start = 9711
+    _ARTIFACTSTATUSESRESPONSE_STATUSESENTRY._serialized_end = 9826
+    _INTERRUPTREQUEST._serialized_start = 9829
+    _INTERRUPTREQUEST._serialized_end = 10301
+    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_start = 10144
+    _INTERRUPTREQUEST_INTERRUPTTYPE._serialized_end = 10272
+    _INTERRUPTRESPONSE._serialized_start = 10303
+    _INTERRUPTRESPONSE._serialized_end = 10394
+    _REATTACHOPTIONS._serialized_start = 10396
+    _REATTACHOPTIONS._serialized_end = 10449
+    _REATTACHEXECUTEREQUEST._serialized_start = 10452
+    _REATTACHEXECUTEREQUEST._serialized_end = 10727
+    _RELEASEEXECUTEREQUEST._serialized_start = 10730
+    _RELEASEEXECUTEREQUEST._serialized_end = 11184
+    _RELEASEEXECUTEREQUEST_RELEASEALL._serialized_start = 11096
+    _RELEASEEXECUTEREQUEST_RELEASEALL._serialized_end = 11108
+    _RELEASEEXECUTEREQUEST_RELEASEUNTIL._serialized_start = 11110
+    _RELEASEEXECUTEREQUEST_RELEASEUNTIL._serialized_end = 11157
+    _RELEASEEXECUTERESPONSE._serialized_start = 11186
+    _RELEASEEXECUTERESPONSE._serialized_end = 11276
+    _SPARKCONNECTSERVICE._serialized_start = 11279
+    _SPARKCONNECTSERVICE._serialized_end = 12022
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/base_pb2.pyi b/python/pyspark/sql/connect/proto/base_pb2.pyi
index 6059d38bd1953..e870221594c13 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/base_pb2.pyi
@@ -1005,30 +1005,44 @@ class ExecutePlanRequest(google.protobuf.message.Message):
     class RequestOption(google.protobuf.message.Message):
         DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
+        REATTACH_OPTIONS_FIELD_NUMBER: builtins.int
         EXTENSION_FIELD_NUMBER: builtins.int
         @property
+        def reattach_options(self) -> global___ReattachOptions: ...
+        @property
         def extension(self) -> google.protobuf.any_pb2.Any:
             """Extension type for request options"""
         def __init__(
             self,
             *,
+            reattach_options: global___ReattachOptions | None = ...,
             extension: google.protobuf.any_pb2.Any | None = ...,
         ) -> None: ...
         def HasField(
             self,
             field_name: typing_extensions.Literal[
-                "extension", b"extension", "request_option", b"request_option"
+                "extension",
+                b"extension",
+                "reattach_options",
+                b"reattach_options",
+                "request_option",
+                b"request_option",
             ],
         ) -> builtins.bool: ...
         def ClearField(
             self,
             field_name: typing_extensions.Literal[
-                "extension", b"extension", "request_option", b"request_option"
+                "extension",
+                b"extension",
+                "reattach_options",
+                b"reattach_options",
+                "request_option",
+                b"request_option",
             ],
         ) -> None: ...
         def WhichOneof(
             self, oneof_group: typing_extensions.Literal["request_option", b"request_option"]
-        ) -> typing_extensions.Literal["extension"] | None: ...
+        ) -> typing_extensions.Literal["reattach_options", "extension"] | None: ...
 
     SESSION_ID_FIELD_NUMBER: builtins.int
     USER_CONTEXT_FIELD_NUMBER: builtins.int
@@ -1324,14 +1338,28 @@ class ExecutePlanResponse(google.protobuf.message.Message):
             self, field_name: typing_extensions.Literal["name", b"name", "values", b"values"]
         ) -> None: ...
 
+    class ResultComplete(google.protobuf.message.Message):
+        """If present, in a reattachable execution this means that after server sends onComplete,
+        the execution is complete. If the server sends onComplete without sending a ResultComplete,
+        it means that there is more, and the client should use ReattachExecute RPC to continue.
+        """
+
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        def __init__(
+            self,
+        ) -> None: ...
+
     SESSION_ID_FIELD_NUMBER: builtins.int
     OPERATION_ID_FIELD_NUMBER: builtins.int
+    RESPONSE_ID_FIELD_NUMBER: builtins.int
     ARROW_BATCH_FIELD_NUMBER: builtins.int
     SQL_COMMAND_RESULT_FIELD_NUMBER: builtins.int
     WRITE_STREAM_OPERATION_START_RESULT_FIELD_NUMBER: builtins.int
     STREAMING_QUERY_COMMAND_RESULT_FIELD_NUMBER: builtins.int
     GET_RESOURCES_COMMAND_RESULT_FIELD_NUMBER: builtins.int
     STREAMING_QUERY_MANAGER_COMMAND_RESULT_FIELD_NUMBER: builtins.int
+    RESULT_COMPLETE_FIELD_NUMBER: builtins.int
     EXTENSION_FIELD_NUMBER: builtins.int
     METRICS_FIELD_NUMBER: builtins.int
     OBSERVED_METRICS_FIELD_NUMBER: builtins.int
@@ -1343,6 +1371,10 @@ class ExecutePlanResponse(google.protobuf.message.Message):
     Otherwise generated by the server.
     It is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
     """
+    response_id: builtins.str
+    """Identified the response in the stream.
+    The id is an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
+    """
     @property
     def arrow_batch(self) -> global___ExecutePlanResponse.ArrowBatch: ...
     @property
@@ -1369,6 +1401,9 @@ class ExecutePlanResponse(google.protobuf.message.Message):
     ) -> pyspark.sql.connect.proto.commands_pb2.StreamingQueryManagerCommandResult:
         """Response for commands on the streaming query manager."""
     @property
+    def result_complete(self) -> global___ExecutePlanResponse.ResultComplete:
+        """Response type informing if the stream is complete in reattachable execution."""
+    @property
     def extension(self) -> google.protobuf.any_pb2.Any:
         """Support arbitrary result objects."""
     @property
@@ -1391,6 +1426,7 @@ class ExecutePlanResponse(google.protobuf.message.Message):
         *,
         session_id: builtins.str = ...,
         operation_id: builtins.str = ...,
+        response_id: builtins.str = ...,
         arrow_batch: global___ExecutePlanResponse.ArrowBatch | None = ...,
         sql_command_result: global___ExecutePlanResponse.SqlCommandResult | None = ...,
         write_stream_operation_start_result: pyspark.sql.connect.proto.commands_pb2.WriteStreamOperationStartResult
@@ -1401,6 +1437,7 @@ class ExecutePlanResponse(google.protobuf.message.Message):
         | None = ...,
         streaming_query_manager_command_result: pyspark.sql.connect.proto.commands_pb2.StreamingQueryManagerCommandResult
         | None = ...,
+        result_complete: global___ExecutePlanResponse.ResultComplete | None = ...,
         extension: google.protobuf.any_pb2.Any | None = ...,
         metrics: global___ExecutePlanResponse.Metrics | None = ...,
         observed_metrics: collections.abc.Iterable[global___ExecutePlanResponse.ObservedMetrics]
@@ -1420,6 +1457,8 @@ class ExecutePlanResponse(google.protobuf.message.Message):
             b"metrics",
             "response_type",
             b"response_type",
+            "result_complete",
+            b"result_complete",
             "schema",
             b"schema",
             "sql_command_result",
@@ -1447,8 +1486,12 @@ class ExecutePlanResponse(google.protobuf.message.Message):
             b"observed_metrics",
             "operation_id",
             b"operation_id",
+            "response_id",
+            b"response_id",
             "response_type",
             b"response_type",
+            "result_complete",
+            b"result_complete",
             "schema",
             b"schema",
             "session_id",
@@ -1472,6 +1515,7 @@ class ExecutePlanResponse(google.protobuf.message.Message):
         "streaming_query_command_result",
         "get_resources_command_result",
         "streaming_query_manager_command_result",
+        "result_complete",
         "extension",
     ] | None: ...
 
@@ -2384,3 +2428,276 @@ class InterruptResponse(google.protobuf.message.Message):
     ) -> None: ...
 
 global___InterruptResponse = InterruptResponse
+
+class ReattachOptions(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    REATTACHABLE_FIELD_NUMBER: builtins.int
+    reattachable: builtins.bool
+    """If true, the request can be reattached to using ReattachExecute.
+    ReattachExecute can be used either if the stream broke with a GRPC network error,
+    or if the server closed the stream without sending a response with StreamStatus.complete=true.
+    The server will keep a buffer of responses in case a response is lost, and
+    ReattachExecute needs to back-track.
+
+    If false, the execution response stream will will not be reattachable, and all responses are
+    immediately released by the server after being sent.
+    """
+    def __init__(
+        self,
+        *,
+        reattachable: builtins.bool = ...,
+    ) -> None: ...
+    def ClearField(
+        self, field_name: typing_extensions.Literal["reattachable", b"reattachable"]
+    ) -> None: ...
+
+global___ReattachOptions = ReattachOptions
+
+class ReattachExecuteRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    SESSION_ID_FIELD_NUMBER: builtins.int
+    USER_CONTEXT_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
+    CLIENT_TYPE_FIELD_NUMBER: builtins.int
+    LAST_RESPONSE_ID_FIELD_NUMBER: builtins.int
+    session_id: builtins.str
+    """(Required)
+
+    The session_id of the request to reattach to.
+    This must be an id of existing session.
+    """
+    @property
+    def user_context(self) -> global___UserContext:
+        """(Required) User context
+
+        user_context.user_id and session+id both identify a unique remote spark session on the
+        server side.
+        """
+    operation_id: builtins.str
+    """(Required)
+    Provide an id of the request to reattach to.
+    This must be an id of existing operation.
+    """
+    client_type: builtins.str
+    """Provides optional information about the client sending the request. This field
+    can be used for language or version specific information and is only intended for
+    logging purposes and will not be interpreted by the server.
+    """
+    last_response_id: builtins.str
+    """(Optional)
+    Last already processed response id from the response stream.
+    After reattach, server will resume the response stream after that response.
+    If not specified, server will restart the stream from the start.
+
+    Note: server controls the amount of responses that it buffers and it may drop responses,
+    that are far behind the latest returned response, so this can't be used to arbitrarily
+    scroll back the cursor. If the response is no longer available, this will result in an error.
+    """
+    def __init__(
+        self,
+        *,
+        session_id: builtins.str = ...,
+        user_context: global___UserContext | None = ...,
+        operation_id: builtins.str = ...,
+        client_type: builtins.str | None = ...,
+        last_response_id: builtins.str | None = ...,
+    ) -> None: ...
+    def HasField(
+        self,
+        field_name: typing_extensions.Literal[
+            "_client_type",
+            b"_client_type",
+            "_last_response_id",
+            b"_last_response_id",
+            "client_type",
+            b"client_type",
+            "last_response_id",
+            b"last_response_id",
+            "user_context",
+            b"user_context",
+        ],
+    ) -> builtins.bool: ...
+    def ClearField(
+        self,
+        field_name: typing_extensions.Literal[
+            "_client_type",
+            b"_client_type",
+            "_last_response_id",
+            b"_last_response_id",
+            "client_type",
+            b"client_type",
+            "last_response_id",
+            b"last_response_id",
+            "operation_id",
+            b"operation_id",
+            "session_id",
+            b"session_id",
+            "user_context",
+            b"user_context",
+        ],
+    ) -> None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["_client_type", b"_client_type"]
+    ) -> typing_extensions.Literal["client_type"] | None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["_last_response_id", b"_last_response_id"]
+    ) -> typing_extensions.Literal["last_response_id"] | None: ...
+
+global___ReattachExecuteRequest = ReattachExecuteRequest
+
+class ReleaseExecuteRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    class ReleaseAll(google.protobuf.message.Message):
+        """Release and close operation completely.
+        Note: This should be called when the server side operation is finished, and ExecutePlan or
+        ReattachExecute are finished processing the result stream, or inside onComplete / onError.
+        This will not interrupt a running execution, but block until it's finished.
+        """
+
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        def __init__(
+            self,
+        ) -> None: ...
+
+    class ReleaseUntil(google.protobuf.message.Message):
+        """Release all responses from the operation response stream up to and including
+        the response with the given by response_id.
+        While server determines by itself how much of a buffer of responses to keep, client providing
+        explicit release calls will help reduce resource consumption.
+        Noop if response_id not found in cached responses.
+        """
+
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        RESPONSE_ID_FIELD_NUMBER: builtins.int
+        response_id: builtins.str
+        def __init__(
+            self,
+            *,
+            response_id: builtins.str = ...,
+        ) -> None: ...
+        def ClearField(
+            self, field_name: typing_extensions.Literal["response_id", b"response_id"]
+        ) -> None: ...
+
+    SESSION_ID_FIELD_NUMBER: builtins.int
+    USER_CONTEXT_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
+    CLIENT_TYPE_FIELD_NUMBER: builtins.int
+    RELEASE_ALL_FIELD_NUMBER: builtins.int
+    RELEASE_UNTIL_FIELD_NUMBER: builtins.int
+    session_id: builtins.str
+    """(Required)
+
+    The session_id of the request to reattach to.
+    This must be an id of existing session.
+    """
+    @property
+    def user_context(self) -> global___UserContext:
+        """(Required) User context
+
+        user_context.user_id and session+id both identify a unique remote spark session on the
+        server side.
+        """
+    operation_id: builtins.str
+    """(Required)
+    Provide an id of the request to reattach to.
+    This must be an id of existing operation.
+    """
+    client_type: builtins.str
+    """Provides optional information about the client sending the request. This field
+    can be used for language or version specific information and is only intended for
+    logging purposes and will not be interpreted by the server.
+    """
+    @property
+    def release_all(self) -> global___ReleaseExecuteRequest.ReleaseAll: ...
+    @property
+    def release_until(self) -> global___ReleaseExecuteRequest.ReleaseUntil: ...
+    def __init__(
+        self,
+        *,
+        session_id: builtins.str = ...,
+        user_context: global___UserContext | None = ...,
+        operation_id: builtins.str = ...,
+        client_type: builtins.str | None = ...,
+        release_all: global___ReleaseExecuteRequest.ReleaseAll | None = ...,
+        release_until: global___ReleaseExecuteRequest.ReleaseUntil | None = ...,
+    ) -> None: ...
+    def HasField(
+        self,
+        field_name: typing_extensions.Literal[
+            "_client_type",
+            b"_client_type",
+            "client_type",
+            b"client_type",
+            "release",
+            b"release",
+            "release_all",
+            b"release_all",
+            "release_until",
+            b"release_until",
+            "user_context",
+            b"user_context",
+        ],
+    ) -> builtins.bool: ...
+    def ClearField(
+        self,
+        field_name: typing_extensions.Literal[
+            "_client_type",
+            b"_client_type",
+            "client_type",
+            b"client_type",
+            "operation_id",
+            b"operation_id",
+            "release",
+            b"release",
+            "release_all",
+            b"release_all",
+            "release_until",
+            b"release_until",
+            "session_id",
+            b"session_id",
+            "user_context",
+            b"user_context",
+        ],
+    ) -> None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["_client_type", b"_client_type"]
+    ) -> typing_extensions.Literal["client_type"] | None: ...
+    @typing.overload
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["release", b"release"]
+    ) -> typing_extensions.Literal["release_all", "release_until"] | None: ...
+
+global___ReleaseExecuteRequest = ReleaseExecuteRequest
+
+class ReleaseExecuteResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    SESSION_ID_FIELD_NUMBER: builtins.int
+    OPERATION_ID_FIELD_NUMBER: builtins.int
+    session_id: builtins.str
+    """Session id in which the release was running."""
+    operation_id: builtins.str
+    """Operation id of the operation which the release concerns."""
+    def __init__(
+        self,
+        *,
+        session_id: builtins.str = ...,
+        operation_id: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(
+        self,
+        field_name: typing_extensions.Literal[
+            "operation_id", b"operation_id", "session_id", b"session_id"
+        ],
+    ) -> None: ...
+
+global___ReleaseExecuteResponse = ReleaseExecuteResponse
diff --git a/python/pyspark/sql/connect/proto/base_pb2_grpc.py b/python/pyspark/sql/connect/proto/base_pb2_grpc.py
index 74eda7dfeac0c..2702ec71ff5ce 100644
--- a/python/pyspark/sql/connect/proto/base_pb2_grpc.py
+++ b/python/pyspark/sql/connect/proto/base_pb2_grpc.py
@@ -60,6 +60,16 @@ def __init__(self, channel):
             request_serializer=spark_dot_connect_dot_base__pb2.InterruptRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.InterruptResponse.FromString,
         )
+        self.ReattachExecute = channel.unary_stream(
+            "/spark.connect.SparkConnectService/ReattachExecute",
+            request_serializer=spark_dot_connect_dot_base__pb2.ReattachExecuteRequest.SerializeToString,
+            response_deserializer=spark_dot_connect_dot_base__pb2.ExecutePlanResponse.FromString,
+        )
+        self.ReleaseExecute = channel.unary_unary(
+            "/spark.connect.SparkConnectService/ReleaseExecute",
+            request_serializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteRequest.SerializeToString,
+            response_deserializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteResponse.FromString,
+        )
 
 
 class SparkConnectServiceServicer(object):
@@ -106,6 +116,26 @@ def Interrupt(self, request, context):
         context.set_details("Method not implemented!")
         raise NotImplementedError("Method not implemented!")
 
+    def ReattachExecute(self, request, context):
+        """Reattach to an existing reattachable execution.
+        The ExecutePlan must have been started with ReattachOptions.reattachable=true.
+        If the ExecutePlanResponse stream ends without a ResultComplete message, there is more to
+        continue. If there is a ResultComplete, the client should use ReleaseExecute with
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
+
+    def ReleaseExecute(self, request, context):
+        """Release an reattachable execution, or parts thereof.
+        The ExecutePlan must have been started with ReattachOptions.reattachable=true.
+        Non reattachable executions are released automatically and immediately after the ExecutePlan
+        RPC and ReleaseExecute doesn't need to be used.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
+
 
 def add_SparkConnectServiceServicer_to_server(servicer, server):
     rpc_method_handlers = {
@@ -139,6 +169,16 @@ def add_SparkConnectServiceServicer_to_server(servicer, server):
             request_deserializer=spark_dot_connect_dot_base__pb2.InterruptRequest.FromString,
             response_serializer=spark_dot_connect_dot_base__pb2.InterruptResponse.SerializeToString,
         ),
+        "ReattachExecute": grpc.unary_stream_rpc_method_handler(
+            servicer.ReattachExecute,
+            request_deserializer=spark_dot_connect_dot_base__pb2.ReattachExecuteRequest.FromString,
+            response_serializer=spark_dot_connect_dot_base__pb2.ExecutePlanResponse.SerializeToString,
+        ),
+        "ReleaseExecute": grpc.unary_unary_rpc_method_handler(
+            servicer.ReleaseExecute,
+            request_deserializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteRequest.FromString,
+            response_serializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteResponse.SerializeToString,
+        ),
     }
     generic_handler = grpc.method_handlers_generic_handler(
         "spark.connect.SparkConnectService", rpc_method_handlers
@@ -323,3 +363,61 @@ def Interrupt(
             timeout,
             metadata,
         )
+
+    @staticmethod
+    def ReattachExecute(
+        request,
+        target,
+        options=(),
+        channel_credentials=None,
+        call_credentials=None,
+        insecure=False,
+        compression=None,
+        wait_for_ready=None,
+        timeout=None,
+        metadata=None,
+    ):
+        return grpc.experimental.unary_stream(
+            request,
+            target,
+            "/spark.connect.SparkConnectService/ReattachExecute",
+            spark_dot_connect_dot_base__pb2.ReattachExecuteRequest.SerializeToString,
+            spark_dot_connect_dot_base__pb2.ExecutePlanResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+        )
+
+    @staticmethod
+    def ReleaseExecute(
+        request,
+        target,
+        options=(),
+        channel_credentials=None,
+        call_credentials=None,
+        insecure=False,
+        compression=None,
+        wait_for_ready=None,
+        timeout=None,
+        metadata=None,
+    ):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            "/spark.connect.SparkConnectService/ReleaseExecute",
+            spark_dot_connect_dot_base__pb2.ReleaseExecuteRequest.SerializeToString,
+            spark_dot_connect_dot_base__pb2.ReleaseExecuteResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+        )

From b196e5408fd98c2f50e562c261882f7d765cf09e Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 1 Aug 2023 13:49:33 +0900
Subject: [PATCH 115/986] [SPARK-44421][SPARK-44423][CONNECT][FOLLOW-UP][3.5]
 Extends Logging to allow SparkConnectService to use logging

### What changes were proposed in this pull request?

This PR proposes to resolve the conflict in branch-3.5. It has a partial conflict with https://github.com/apache/spark/pull/42073 about `extend Logging`.

### Why are the changes needed?

To recover the branch-3.5.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual.

Closes #42254 from HyukjinKwon/SPARK-44421-3.5.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/connect/service/SparkConnectService.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index da55d321f697c..2bebb95462c4b 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -251,7 +251,7 @@ class SparkConnectService(debug: Boolean) extends AsyncService with BindableServ
  * Used to start the overall SparkConnect service and provides global state to manage the
  * different SparkSession from different users connecting to the cluster.
  */
-object SparkConnectService {
+object SparkConnectService extends Logging {
 
   private val CACHE_SIZE = 100
 

From fb85a4c199a49f26af9f7cd1c9e450508d21d089 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Tue, 1 Aug 2023 13:43:26 +0800
Subject: [PATCH 116/986] [SPARK-43611][SPARK-44602][SQL][PS][CONNCECT][3.5]
 Make `ExtractWindowExpressions` & `WidenSetOperationTypes` retain the
 `PLAN_ID_TAG`

### What changes were proposed in this pull request?

Backport for https://github.com/apache/spark/pull/42086 and https://github.com/apache/spark/pull/42230

### Why are the changes needed?

for functionality parity

### Does this PR introduce _any_ user-facing change?

Enabling couple of pandas APIs

### How was this patch tested?

Enabling the existing UTs

Closes #42252 from itholic/SPARK-43611-3.5.

Lead-authored-by: Ruifeng Zheng <ruifengz@apache.org>
Co-authored-by: itholic <haejoon.lee@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../computation/test_parity_combine.py        |  11 +-
 .../computation/test_parity_missing_data.py   |  30 -----
 .../tests/connect/indexes/test_parity_base.py |  12 --
 .../connect/series/test_parity_arg_ops.py     |   6 +-
 .../connect/series/test_parity_compute.py     |  16 ---
 .../connect/series/test_parity_cumulative.py  |  25 +---
 .../tests/connect/series/test_parity_index.py |   7 +-
 .../series/test_parity_missing_data.py        |  35 +----
 .../tests/connect/series/test_parity_stat.py  |  11 +-
 .../pandas/tests/connect/test_parity_ewm.py   |  12 +-
 .../tests/connect/test_parity_expanding.py    | 120 +-----------------
 .../tests/connect/test_parity_namespace.py    |  12 --
 .../test_parity_ops_on_diff_frames_groupby.py |  48 +------
 ...ty_ops_on_diff_frames_groupby_expanding.py |  42 +-----
 .../tests/connect/test_parity_rolling.py      | 120 +-----------------
 .../sql/catalyst/analysis/Analyzer.scala      |  12 +-
 .../sql/catalyst/analysis/TypeCoercion.scala  |  13 +-
 17 files changed, 32 insertions(+), 500 deletions(-)

diff --git a/python/pyspark/pandas/tests/connect/computation/test_parity_combine.py b/python/pyspark/pandas/tests/connect/computation/test_parity_combine.py
index 175404ff750c3..af23600055e03 100644
--- a/python/pyspark/pandas/tests/connect/computation/test_parity_combine.py
+++ b/python/pyspark/pandas/tests/connect/computation/test_parity_combine.py
@@ -16,22 +16,13 @@
 #
 import unittest
 
-from pyspark import pandas as ps
 from pyspark.pandas.tests.computation.test_combine import FrameCombineMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
 class FrameParityCombineTests(FrameCombineMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @property
-    def psdf(self):
-        return ps.from_pandas(self.pdf)
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_append(self):
-        super().test_append()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/computation/test_parity_missing_data.py b/python/pyspark/pandas/tests/connect/computation/test_parity_missing_data.py
index a88c8692eca4e..d2ff09e5e8a59 100644
--- a/python/pyspark/pandas/tests/connect/computation/test_parity_missing_data.py
+++ b/python/pyspark/pandas/tests/connect/computation/test_parity_missing_data.py
@@ -29,36 +29,6 @@ class FrameParityMissingDataTests(
     def psdf(self):
         return ps.from_pandas(self.pdf)
 
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_backfill(self):
-        super().test_backfill()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_bfill(self):
-        super().test_bfill()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_ffill(self):
-        super().test_ffill()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_fillna(self):
-        return super().test_fillna()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_pad(self):
-        super().test_pad()
-
 
 if __name__ == "__main__":
     from pyspark.pandas.tests.connect.computation.test_parity_missing_data import *  # noqa: F401
diff --git a/python/pyspark/pandas/tests/connect/indexes/test_parity_base.py b/python/pyspark/pandas/tests/connect/indexes/test_parity_base.py
index b1e185389f32d..3cf4dc9b3d226 100644
--- a/python/pyspark/pandas/tests/connect/indexes/test_parity_base.py
+++ b/python/pyspark/pandas/tests/connect/indexes/test_parity_base.py
@@ -29,18 +29,6 @@ class IndexesParityTests(
     def psdf(self):
         return ps.from_pandas(self.pdf)
 
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_append(self):
-        super().test_append()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_monotonic(self):
-        super().test_monotonic()
-
     @unittest.skip("TODO(SPARK-43620): Support `Column` for SparkConnectColumn.__getitem__.")
     def test_factorize(self):
         super().test_factorize()
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_arg_ops.py b/python/pyspark/pandas/tests/connect/series/test_parity_arg_ops.py
index b3df55cb68e95..bd17521dd840b 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_arg_ops.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_arg_ops.py
@@ -22,11 +22,7 @@
 
 
 class SeriesParityArgOpsTests(SeriesArgOpsMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_argsort(self):
-        super().test_argsort()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_compute.py b/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
index 00e35b27e8fe8..f757d19ca6941 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
@@ -22,22 +22,6 @@
 
 
 class SeriesParityComputeTests(SeriesComputeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_diff(self):
-        super().test_diff()
-
-    @unittest.skip("TODO(SPARK-43620): Support `Column` for SparkConnectColumn.__getitem__.")
-    def test_factorize(self):
-        super().test_factorize()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_shift(self):
-        super().test_shift()
-
     @unittest.skip(
         "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
     )
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_cumulative.py b/python/pyspark/pandas/tests/connect/series/test_parity_cumulative.py
index f7cd03e057ad5..c5c61e1f33b22 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_cumulative.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_cumulative.py
@@ -24,29 +24,8 @@
 class SeriesParityCumulativeTests(
     SeriesCumulativeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cummax(self):
-        super().test_cummax()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cummin(self):
-        super().test_cummin()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cumprod(self):
-        super().test_cumprod()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cumsum(self):
-        super().test_cumsum()
+
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_index.py b/python/pyspark/pandas/tests/connect/series/test_parity_index.py
index 81da3e44d6db3..2b92cce61fb5f 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_index.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_index.py
@@ -22,11 +22,8 @@
 
 
 class SeriesParityIndexTests(SeriesIndexMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_reset_index_with_default_index_types(self):
-        super().test_reset_index_with_default_index_types()
+
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_missing_data.py b/python/pyspark/pandas/tests/connect/series/test_parity_missing_data.py
index e648173289cb8..a95b312bce653 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_missing_data.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_missing_data.py
@@ -24,41 +24,8 @@
 class SeriesParityMissingDataTests(
     SeriesMissingDataMixin, PandasOnSparkTestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_backfill(self):
-        super().test_backfill()
 
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_bfill(self):
-        super().test_bfill()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_ffill(self):
-        super().test_ffill()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_fillna(self):
-        super().test_fillna()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_pad(self):
-        super().test_pad()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_replace(self):
-        super().test_replace()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_stat.py b/python/pyspark/pandas/tests/connect/series/test_parity_stat.py
index 17e83fa3b4790..916e120f99d6f 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_stat.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_stat.py
@@ -22,15 +22,8 @@
 
 
 class SeriesParityStatTests(SeriesStatMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_pct_change(self):
-        super().test_pct_change()
-
-    @unittest.skip("TODO(SPARK-43618): Fix pyspark.sq.column._unary_op to work with Spark Connect.")
-    def test_rank(self):
-        super().test_rank()
+
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_ewm.py b/python/pyspark/pandas/tests/connect/test_parity_ewm.py
index e079f84729628..7487282033375 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_ewm.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_ewm.py
@@ -22,17 +22,7 @@
 
 
 class EWMParityTests(EWMTestsMixin, PandasOnSparkTestUtils, ReusedConnectTestCase, TestUtils):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_ewm_mean(self):
-        super().test_ewm_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_ewm_func(self):
-        super().test_groupby_ewm_func()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_expanding.py b/python/pyspark/pandas/tests/connect/test_parity_expanding.py
index a6f2cf9bc3ce7..7f8b1a3cac2f3 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_expanding.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_expanding.py
@@ -24,125 +24,7 @@
 class ExpandingParityTests(
     ExpandingTestsMixin, PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_count(self):
-        super().test_expanding_count()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_kurt(self):
-        super().test_expanding_kurt()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_max(self):
-        super().test_expanding_max()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_mean(self):
-        super().test_expanding_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_min(self):
-        super().test_expanding_min()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_quantile(self):
-        super().test_expanding_quantile()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_skew(self):
-        super().test_expanding_skew()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_std(self):
-        super().test_expanding_std()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_sum(self):
-        super().test_expanding_sum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_expanding_var(self):
-        super().test_expanding_var()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_count(self):
-        super().test_groupby_expanding_count()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_kurt(self):
-        super().test_groupby_expanding_kurt()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_max(self):
-        super().test_groupby_expanding_max()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_mean(self):
-        super().test_groupby_expanding_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_min(self):
-        super().test_groupby_expanding_min()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_quantile(self):
-        super().test_groupby_expanding_quantile()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_skew(self):
-        super().test_groupby_expanding_skew()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_std(self):
-        super().test_groupby_expanding_std()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_sum(self):
-        super().test_groupby_expanding_sum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_var(self):
-        super().test_groupby_expanding_var()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_namespace.py b/python/pyspark/pandas/tests/connect/test_parity_namespace.py
index 72f638ca23c6c..db7f62fdbd5ad 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_namespace.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_namespace.py
@@ -22,18 +22,6 @@
 
 
 class NamespaceParityTests(NamespaceTestsMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_concat_index_axis(self):
-        super().test_concat_index_axis()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_concat_multiindex_sort(self):
-        super().test_concat_multiindex_sort()
-
     @unittest.skip("TODO(SPARK-43655): Enable NamespaceParityTests.test_get_index_map.")
     def test_get_index_map(self):
         super().test_get_index_map()
diff --git a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby.py b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby.py
index 5d6b6a80b9bda..685ec5c45c5f8 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby.py
@@ -24,53 +24,7 @@
 class OpsOnDiffFramesGroupByParityTests(
     OpsOnDiffFramesGroupByTestsMixin, PandasOnSparkTestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cumcount(self):
-        super().test_cumcount()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cummax(self):
-        super().test_cummax()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cummin(self):
-        super().test_cummin()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cumprod(self):
-        super().test_cumprod()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_cumsum(self):
-        super().test_cumsum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_diff(self):
-        super().test_diff()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_fillna(self):
-        super().test_fillna()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_shift(self):
-        super().test_shift()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby_expanding.py b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby_expanding.py
index 90fa36f3b98ab..c373268cdb239 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby_expanding.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames_groupby_expanding.py
@@ -29,47 +29,7 @@ class OpsOnDiffFramesGroupByExpandingParityTests(
     TestUtils,
     ReusedConnectTestCase,
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_count(self):
-        super().test_groupby_expanding_count()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_min(self):
-        super().test_groupby_expanding_min()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_max(self):
-        super().test_groupby_expanding_max()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_mean(self):
-        super().test_groupby_expanding_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_sum(self):
-        super().test_groupby_expanding_sum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_std(self):
-        super().test_groupby_expanding_std()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_expanding_var(self):
-        super().test_groupby_expanding_var()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_rolling.py b/python/pyspark/pandas/tests/connect/test_parity_rolling.py
index 712c1a10df99d..8318bed24f034 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_rolling.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_rolling.py
@@ -24,125 +24,7 @@
 class RollingParityTests(
     RollingTestsMixin, PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_count(self):
-        super().test_groupby_rolling_count()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_kurt(self):
-        super().test_groupby_rolling_kurt()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_max(self):
-        super().test_groupby_rolling_max()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_mean(self):
-        super().test_groupby_rolling_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_min(self):
-        super().test_groupby_rolling_min()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_quantile(self):
-        super().test_groupby_rolling_quantile()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_skew(self):
-        super().test_groupby_rolling_skew()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_std(self):
-        super().test_groupby_rolling_std()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_sum(self):
-        super().test_groupby_rolling_sum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_groupby_rolling_var(self):
-        super().test_groupby_rolling_var()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_count(self):
-        super().test_rolling_count()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_kurt(self):
-        super().test_rolling_kurt()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_max(self):
-        super().test_rolling_max()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_mean(self):
-        super().test_rolling_mean()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_min(self):
-        super().test_rolling_min()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_quantile(self):
-        super().test_rolling_quantile()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_skew(self):
-        super().test_rolling_skew()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_std(self):
-        super().test_rolling_std()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_sum(self):
-        super().test_rolling_sum()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_rolling_var(self):
-        super().test_rolling_var()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index ed037f3fd982b..30c6e4b4bc029 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -3116,7 +3116,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
 
         // Finally, generate output columns according to the original projectList.
         val finalProjectList = aggregateExprs.map(_.toAttribute)
-        Project(finalProjectList, withWindow)
+        val newProject = Project(finalProjectList, withWindow)
+        newProject.copyTagsFrom(f)
+        newProject
 
       case p: LogicalPlan if !p.childrenResolved => p
 
@@ -3134,7 +3136,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
 
         // Finally, generate output columns according to the original projectList.
         val finalProjectList = aggregateExprs.map(_.toAttribute)
-        Project(finalProjectList, withWindow)
+        val newProject = Project(finalProjectList, withWindow)
+        newProject.copyTagsFrom(a)
+        newProject
 
       // We only extract Window Expressions after all expressions of the Project
       // have been resolved, and lateral column aliases are properly handled first.
@@ -3151,7 +3155,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
 
         // Finally, generate output columns according to the original projectList.
         val finalProjectList = projectList.map(_.toAttribute)
-        Project(finalProjectList, withWindow)
+        val newProject = Project(finalProjectList, withWindow)
+        newProject.copyTagsFrom(p)
+        newProject
     }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index bf9e461744e14..190e72a8e669e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -265,8 +265,10 @@ abstract class TypeCoercionBase {
             s -> Nil
           } else {
             assert(newChildren.length == 2)
+            val newExcept = Except(newChildren.head, newChildren.last, isAll)
+            newExcept.copyTagsFrom(s)
             val attrMapping = left.output.zip(newChildren.head.output)
-            Except(newChildren.head, newChildren.last, isAll) -> attrMapping
+            newExcept -> attrMapping
           }
 
         case s @ Intersect(left, right, isAll) if s.childrenResolved &&
@@ -276,19 +278,22 @@ abstract class TypeCoercionBase {
             s -> Nil
           } else {
             assert(newChildren.length == 2)
+            val newIntersect = Intersect(newChildren.head, newChildren.last, isAll)
+            newIntersect.copyTagsFrom(s)
             val attrMapping = left.output.zip(newChildren.head.output)
-            Intersect(newChildren.head, newChildren.last, isAll) -> attrMapping
+            newIntersect -> attrMapping
           }
 
         case s: Union if s.childrenResolved && !s.byName &&
           s.children.forall(_.output.length == s.children.head.output.length) && !s.resolved =>
           val newChildren: Seq[LogicalPlan] = buildNewChildrenWithWiderTypes(s.children)
-
           if (newChildren.isEmpty) {
             s -> Nil
           } else {
             val attrMapping = s.children.head.output.zip(newChildren.head.output)
-            s.copy(children = newChildren) -> attrMapping
+            val newUnion = s.copy(children = newChildren)
+            newUnion.copyTagsFrom(s)
+            newUnion -> attrMapping
           }
       }
     }

From 1146ba7e944254c0ebbbd082a186fce818fd033c Mon Sep 17 00:00:00 2001
From: Jason Li <jason.li@databricks.com>
Date: Tue, 1 Aug 2023 00:15:09 -0700
Subject: [PATCH 117/986] [SPARK-44591][CONNECT][WEBUI] Use jobTags in
 SparkListenerSQLExecutionStart to link SQL Execution IDs for Spark UI Connect
 page

### What changes were proposed in this pull request?
Use jobTags in SparkListenerSQLExecutionStart to get the corresponding SQL Execution for Spark Connect request rather than SparkListenerJobStart.props.getProperty(SQLExecution.EXECUTION_ID_KEY), which won't work when the SQL Execution does not trigger a job.

### Why are the changes needed?
This change handles cases where a SQL Execution doesn't trigger a job and we can't retrieve the SQL Execution ID from SparkListenerJobStart

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
Update unit test + local manual testing

Closes #42244 from jasonli-db/spark-connect-ui-sql-start.

Authored-by: Jason Li <jason.li@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit a40e46fe6dc35226b27335bb1431583f455f1e58)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../ui/SparkConnectServerListener.scala       | 49 ++++++++++--
 .../ui/SparkConnectServerListenerSuite.scala  | 74 ++++++++++---------
 2 files changed, 83 insertions(+), 40 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
index b40e847f4049f..90f9afebcb622 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
@@ -26,7 +26,7 @@ import org.apache.spark.internal.config.Status.LIVE_ENTITY_UPDATE_PERIOD
 import org.apache.spark.scheduler._
 import org.apache.spark.sql.connect.config.Connect.{CONNECT_UI_SESSION_LIMIT, CONNECT_UI_STATEMENT_LIMIT}
 import org.apache.spark.sql.connect.service._
-import org.apache.spark.sql.execution.SQLExecution
+import org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart
 import org.apache.spark.status.{ElementTrackingStore, KVUtils, LiveEntity}
 
 private[connect] class SparkConnectServerListener(
@@ -80,12 +80,9 @@ private[connect] class SparkConnectServerListener(
     }
     val executeJobTag = executeJobTagOpt.get
     val exec = executionList.get(executeJobTag)
-    val executionIdOpt: Option[String] = Option(jobStart.properties)
-      .flatMap { p => Option(p.getProperty(SQLExecution.EXECUTION_ID_KEY)) }
     if (exec.nonEmpty) {
       exec.foreach { exec =>
         exec.jobId += jobStart.jobId.toString
-        executionIdOpt.foreach { execId => exec.sqlExecId += execId }
         updateLiveStore(exec)
       }
     } else {
@@ -105,8 +102,8 @@ private[connect] class SparkConnectServerListener(
           exec.userId,
           exec.operationId,
           exec.sparkSessionTags)
+        liveExec.sqlExecId = exec.sqlExecId
         liveExec.jobId += jobStart.jobId.toString
-        executionIdOpt.foreach { execId => exec.sqlExecId += execId }
         updateStoreWithTriggerEnabled(liveExec)
         executionList.remove(liveExec.jobTag)
       }
@@ -115,6 +112,7 @@ private[connect] class SparkConnectServerListener(
 
   override def onOtherEvent(event: SparkListenerEvent): Unit = {
     event match {
+      case e: SparkListenerSQLExecutionStart => onSQLExecutionStart(e)
       case e: SparkListenerConnectOperationStarted => onOperationStarted(e)
       case e: SparkListenerConnectOperationAnalyzed => onOperationAnalyzed(e)
       case e: SparkListenerConnectOperationReadyForExecution => onOperationReadyForExecution(e)
@@ -128,6 +126,45 @@ private[connect] class SparkConnectServerListener(
     }
   }
 
+  def onSQLExecutionStart(e: SparkListenerSQLExecutionStart): Unit = {
+    val executeJobTagOpt = e.jobTags.find {
+      case ExecuteJobTag(_) => true
+      case _ => false
+    }
+    if (executeJobTagOpt.isEmpty) {
+      return
+    }
+    val executeJobTag = executeJobTagOpt.get
+    val exec = executionList.get(executeJobTag)
+    if (exec.nonEmpty) {
+      exec.foreach { exec =>
+        exec.sqlExecId += e.executionId.toString
+        updateLiveStore(exec)
+      }
+    } else {
+      // This block guards against potential event re-ordering where a SQLExecutionStart
+      // event is processed after a ConnectOperationClosed event, in which case the Execution
+      // has already been evicted from the executionList.
+      val storeExecInfo =
+        KVUtils.viewToSeq(kvstore.view(classOf[ExecutionInfo]), Int.MaxValue)(exec =>
+          exec.jobTag == executeJobTag)
+      storeExecInfo.foreach { exec =>
+        val liveExec = getOrCreateExecution(
+          exec.jobTag,
+          exec.statement,
+          exec.sessionId,
+          exec.startTimestamp,
+          exec.userId,
+          exec.operationId,
+          exec.sparkSessionTags)
+        liveExec.jobId = exec.jobId
+        liveExec.sqlExecId += e.executionId.toString
+        updateStoreWithTriggerEnabled(liveExec)
+        executionList.remove(liveExec.jobTag)
+      }
+    }
+  }
+
   private def onOperationStarted(e: SparkListenerConnectOperationStarted) = synchronized {
     val executionData = getOrCreateExecution(
       e.jobTag,
@@ -326,7 +363,7 @@ private[connect] class LiveExecutionData(
   var closeTimestamp: Long = 0L
   var detail: String = ""
   var state: ExecutionState.Value = ExecutionState.STARTED
-  val jobId: ArrayBuffer[String] = ArrayBuffer[String]()
+  var jobId: ArrayBuffer[String] = ArrayBuffer[String]()
   var sqlExecId: mutable.Set[String] = mutable.Set[String]()
 
   override protected def doUpdate(): Any = {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
index 9292e44f177ba..7cdc013520134 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
@@ -26,6 +26,7 @@ import org.apache.spark.internal.config.Status.{ASYNC_TRACKING_ENABLED, LIVE_ENT
 import org.apache.spark.scheduler.SparkListenerJobStart
 import org.apache.spark.sql.connect.config.Connect.{CONNECT_UI_SESSION_LIMIT, CONNECT_UI_STATEMENT_LIMIT}
 import org.apache.spark.sql.connect.service._
+import org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart
 import org.apache.spark.status.ElementTrackingStore
 import org.apache.spark.util.kvstore.InMemoryStore
 
@@ -36,6 +37,8 @@ class SparkConnectServerListenerSuite
 
   private var kvstore: ElementTrackingStore = _
 
+  private val jobTag = ExecuteJobTag("sessionId", "userId", "operationId")
+
   after {
     if (kvstore != null) {
       kvstore.close()
@@ -47,12 +50,11 @@ class SparkConnectServerListenerSuite
     test(s"listener events should store successfully (live = $live)") {
       val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
         createAppStatusStore(live)
-
       listener.onOtherEvent(
         SparkListenerConnectSessionStarted("sessionId", "user", System.currentTimeMillis()))
       listener.onOtherEvent(
         SparkListenerConnectOperationStarted(
-          ExecuteJobTag("sessionId", "userId", "operationId"),
+          jobTag,
           "operationId",
           System.currentTimeMillis(),
           "sessionId",
@@ -62,22 +64,24 @@ class SparkConnectServerListenerSuite
           None,
           Set()))
       listener.onOtherEvent(
-        SparkListenerConnectOperationAnalyzed(
-          ExecuteJobTag("sessionId", "userId", "operationId"),
-          "operationId",
-          System.currentTimeMillis()))
+        SparkListenerConnectOperationAnalyzed(jobTag, "operationId", System.currentTimeMillis()))
+      listener.onOtherEvent(
+        SparkListenerSQLExecutionStart(
+          0,
+          None,
+          null,
+          null,
+          null,
+          null,
+          System.currentTimeMillis(),
+          null,
+          Set(jobTag)))
       listener.onJobStart(
         SparkListenerJobStart(0, System.currentTimeMillis(), Nil, createProperties))
       listener.onOtherEvent(
-        SparkListenerConnectOperationFinished(
-          ExecuteJobTag("sessionId", "userId", "operationId"),
-          "sessionId",
-          System.currentTimeMillis()))
+        SparkListenerConnectOperationFinished(jobTag, "sessionId", System.currentTimeMillis()))
       listener.onOtherEvent(
-        SparkListenerConnectOperationClosed(
-          ExecuteJobTag("sessionId", "userId", "operationId"),
-          "sessionId",
-          System.currentTimeMillis()))
+        SparkListenerConnectOperationClosed(jobTag, "sessionId", System.currentTimeMillis()))
 
       if (live) {
         assert(statusStore.getOnlineSessionNum === 1)
@@ -95,10 +99,11 @@ class SparkConnectServerListenerSuite
 
       val storeExecData = statusStore.getExecutionList.head
 
-      assert(storeExecData.jobTag === ExecuteJobTag("sessionId", "userId", "operationId"))
+      assert(storeExecData.jobTag === jobTag)
       assert(storeExecData.sessionId === "sessionId")
       assert(storeExecData.statement === "dummy query")
       assert(storeExecData.jobId === Seq("0"))
+      assert(storeExecData.sqlExecId === Set("0"))
       assert(listener.noLiveData())
     }
   }
@@ -132,15 +137,16 @@ class SparkConnectServerListenerSuite
     }
   }
 
-  test("update execution info when jobstart event come after execution end event") {
+  test(
+    "update execution info when event reordering causes job and sql" +
+      " start to come after operation closed") {
     val (statusStore: SparkConnectServerAppStatusStore, listener: SparkConnectServerListener) =
       createAppStatusStore(true)
-
     listener.onOtherEvent(
       SparkListenerConnectSessionStarted("sessionId", "userId", System.currentTimeMillis()))
     listener.onOtherEvent(
       SparkListenerConnectOperationStarted(
-        ExecuteJobTag("sessionId", "userId", "operationId"),
+        jobTag,
         "operationId",
         System.currentTimeMillis(),
         "sessionId",
@@ -150,21 +156,22 @@ class SparkConnectServerListenerSuite
         None,
         Set()))
     listener.onOtherEvent(
-      SparkListenerConnectOperationAnalyzed(
-        ExecuteJobTag("sessionId", "userId", "operationId"),
-        "operationId",
-        System.currentTimeMillis()))
+      SparkListenerConnectOperationAnalyzed(jobTag, "operationId", System.currentTimeMillis()))
     listener.onOtherEvent(
-      SparkListenerConnectOperationFinished(
-        ExecuteJobTag("sessionId", "userId", "operationId"),
-        "operationId",
-        System.currentTimeMillis()))
+      SparkListenerConnectOperationFinished(jobTag, "operationId", System.currentTimeMillis()))
     listener.onOtherEvent(
-      SparkListenerConnectOperationClosed(
-        ExecuteJobTag("sessionId", "userId", "operationId"),
-        "operationId",
-        System.currentTimeMillis()))
-
+      SparkListenerConnectOperationClosed(jobTag, "operationId", System.currentTimeMillis()))
+    listener.onOtherEvent(
+      SparkListenerSQLExecutionStart(
+        0,
+        None,
+        null,
+        null,
+        null,
+        null,
+        System.currentTimeMillis(),
+        null,
+        Set(jobTag)))
     listener.onJobStart(
       SparkListenerJobStart(0, System.currentTimeMillis(), Nil, createProperties))
     listener.onOtherEvent(
@@ -172,6 +179,7 @@ class SparkConnectServerListenerSuite
     val exec = statusStore.getExecution(ExecuteJobTag("sessionId", "userId", "operationId"))
     assert(exec.isDefined)
     assert(exec.get.jobId === Seq("0"))
+    assert(exec.get.sqlExecId === Set("0"))
     assert(listener.noLiveData())
   }
 
@@ -207,9 +215,7 @@ class SparkConnectServerListenerSuite
 
   private def createProperties: Properties = {
     val properties = new Properties()
-    properties.setProperty(
-      SparkContext.SPARK_JOB_TAGS,
-      ExecuteJobTag("sessionId", "userId", "operationId"))
+    properties.setProperty(SparkContext.SPARK_JOB_TAGS, jobTag)
     properties
   }
 

From 7b68ccd1cb48c38052b0458c5192d5ffcfc97409 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Tue, 1 Aug 2023 08:55:27 -0500
Subject: [PATCH 118/986] [SPARK-44604][BUILD] Upgrade Netty to 4.1.96.Final

### What changes were proposed in this pull request?
The pr aims to upgrade Netty from  4.1.93.Final to 4.1.96.Final.

### Why are the changes needed?
1.Netty 4.1.93.Final VS 4.1.96.Final
https://github.com/netty/netty/compare/netty-4.1.93.Final...netty-4.1.96.Final

2.Netty newest version Fix a possible security issue:
([CVE-2023-34462](https://github.com/netty/netty/security/advisories/GHSA-6mjq-h674-j845)) when using SniHandler.

3.Netty full release notes:
https://netty.io/news/2023/07/27/4-1-96-Final.html
https://netty.io/news/2023/07/20/4-1-95-Final.html
https://netty.io/news/2023/06/19/4-1-94-Final.html

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

Closes #42232 from panbingkun/SPARK-44604.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 8053d5f16541edb8e17cbc50684abae69187ff5a)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 36 +++++++++++++--------------
 pom.xml                               |  6 +----
 2 files changed, 19 insertions(+), 23 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index beae22322021a..566f7c9a3eac6 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -183,24 +183,24 @@ metrics-jmx/4.2.19//metrics-jmx-4.2.19.jar
 metrics-json/4.2.19//metrics-json-4.2.19.jar
 metrics-jvm/4.2.19//metrics-jvm-4.2.19.jar
 minlog/1.3.0//minlog-1.3.0.jar
-netty-all/4.1.93.Final//netty-all-4.1.93.Final.jar
-netty-buffer/4.1.93.Final//netty-buffer-4.1.93.Final.jar
-netty-codec-http/4.1.93.Final//netty-codec-http-4.1.93.Final.jar
-netty-codec-http2/4.1.93.Final//netty-codec-http2-4.1.93.Final.jar
-netty-codec-socks/4.1.93.Final//netty-codec-socks-4.1.93.Final.jar
-netty-codec/4.1.93.Final//netty-codec-4.1.93.Final.jar
-netty-common/4.1.93.Final//netty-common-4.1.93.Final.jar
-netty-handler-proxy/4.1.93.Final//netty-handler-proxy-4.1.93.Final.jar
-netty-handler/4.1.93.Final//netty-handler-4.1.93.Final.jar
-netty-resolver/4.1.93.Final//netty-resolver-4.1.93.Final.jar
-netty-transport-classes-epoll/4.1.93.Final//netty-transport-classes-epoll-4.1.93.Final.jar
-netty-transport-classes-kqueue/4.1.93.Final//netty-transport-classes-kqueue-4.1.93.Final.jar
-netty-transport-native-epoll/4.1.93.Final/linux-aarch_64/netty-transport-native-epoll-4.1.93.Final-linux-aarch_64.jar
-netty-transport-native-epoll/4.1.93.Final/linux-x86_64/netty-transport-native-epoll-4.1.93.Final-linux-x86_64.jar
-netty-transport-native-kqueue/4.1.93.Final/osx-aarch_64/netty-transport-native-kqueue-4.1.93.Final-osx-aarch_64.jar
-netty-transport-native-kqueue/4.1.93.Final/osx-x86_64/netty-transport-native-kqueue-4.1.93.Final-osx-x86_64.jar
-netty-transport-native-unix-common/4.1.93.Final//netty-transport-native-unix-common-4.1.93.Final.jar
-netty-transport/4.1.93.Final//netty-transport-4.1.93.Final.jar
+netty-all/4.1.96.Final//netty-all-4.1.96.Final.jar
+netty-buffer/4.1.96.Final//netty-buffer-4.1.96.Final.jar
+netty-codec-http/4.1.96.Final//netty-codec-http-4.1.96.Final.jar
+netty-codec-http2/4.1.96.Final//netty-codec-http2-4.1.96.Final.jar
+netty-codec-socks/4.1.96.Final//netty-codec-socks-4.1.96.Final.jar
+netty-codec/4.1.96.Final//netty-codec-4.1.96.Final.jar
+netty-common/4.1.96.Final//netty-common-4.1.96.Final.jar
+netty-handler-proxy/4.1.96.Final//netty-handler-proxy-4.1.96.Final.jar
+netty-handler/4.1.96.Final//netty-handler-4.1.96.Final.jar
+netty-resolver/4.1.96.Final//netty-resolver-4.1.96.Final.jar
+netty-transport-classes-epoll/4.1.96.Final//netty-transport-classes-epoll-4.1.96.Final.jar
+netty-transport-classes-kqueue/4.1.96.Final//netty-transport-classes-kqueue-4.1.96.Final.jar
+netty-transport-native-epoll/4.1.96.Final/linux-aarch_64/netty-transport-native-epoll-4.1.96.Final-linux-aarch_64.jar
+netty-transport-native-epoll/4.1.96.Final/linux-x86_64/netty-transport-native-epoll-4.1.96.Final-linux-x86_64.jar
+netty-transport-native-kqueue/4.1.96.Final/osx-aarch_64/netty-transport-native-kqueue-4.1.96.Final-osx-aarch_64.jar
+netty-transport-native-kqueue/4.1.96.Final/osx-x86_64/netty-transport-native-kqueue-4.1.96.Final-osx-x86_64.jar
+netty-transport-native-unix-common/4.1.96.Final//netty-transport-native-unix-common-4.1.96.Final.jar
+netty-transport/4.1.96.Final//netty-transport-4.1.96.Final.jar
 objenesis/3.3//objenesis-3.3.jar
 okhttp/3.12.12//okhttp-3.12.12.jar
 okio/1.15.0//okio-1.15.0.jar
diff --git a/pom.xml b/pom.xml
index 6ced5c7cab76d..ffb9c6046e043 100644
--- a/pom.xml
+++ b/pom.xml
@@ -216,11 +216,7 @@
     <commons-cli.version>1.5.0</commons-cli.version>
     <bouncycastle.version>1.70</bouncycastle.version>
     <tink.version>1.9.0</tink.version>
-    <!--
-      Please don't upgrade the version to 4.1.94.Final,
-      it needs to wait for `arrow-memory-netty` to be greater than 12.0.1.
-    -->
-    <netty.version>4.1.93.Final</netty.version>
+    <netty.version>4.1.96.Final</netty.version>
     <!--
     If you are changing Arrow version specification, please check
     ./python/pyspark/sql/pandas/utils.py, and ./python/setup.py too.

From 0843b7741fa959173fcc66067eedda9be501192c Mon Sep 17 00:00:00 2001
From: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Date: Tue, 1 Aug 2023 10:50:04 -0400
Subject: [PATCH 119/986] [SPARK-44311][CONNECT][SQL] Improved support for UDFs
 on value classes

### What changes were proposed in this pull request?

This pr fixes using UDFs on value classes when it serialized as in underlying type. Previously it would only work if one either defined a UDF taking the underlying type and/or for cases where the schema derived does not "unbox" the value to its underlying type.

Before this change the following code:
```
final case class ValueClass(a: Int) extends AnyVal
final case class Wrapper(v: ValueClass)

val f = udf((a: ValueClass) => a.a > 0)

spark.createDataset(Seq(Wrapper(ValueClass(1)))).filter(f(col("v"))).show()
```
would fails with
```
java.lang.ClassCastException: class org.apache.spark.sql.types.IntegerType$ cannot be cast to class org.apache.spark.sql.types.StructType (org.apache.spark.sql.types.IntegerType$ and org.apache.spark.sql.types.StructType are in unnamed module of loader 'app')
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF$$anonfun$apply$42$$anonfun$applyOrElse$218.$anonfun$applyOrElse$220(Analyzer.scala:3241)
  at scala.Option.map(Option.scala:242)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF$$anonfun$apply$42$$anonfun$applyOrElse$218.$anonfun$applyOrElse$219(Analyzer.scala:3239)
  at scala.collection.immutable.List.map(List.scala:246)
  at scala.collection.immutable.List.map(List.scala:79)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF$$anonfun$apply$42$$anonfun$applyOrElse$218.applyOrElse(Analyzer.scala:3237)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF$$anonfun$apply$42$$anonfun$applyOrElse$218.applyOrElse(Analyzer.scala:3234)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$2(TreeNode.scala:566)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:104)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:566)
```

### Why are the changes needed?
This is something as a user I would expect to just work.

### Does this PR introduce _any_ user-facing change?
Yes, it if fixes using a UDF on value class that is serialized as it underlying type.

### How was this patch tested?
Existing test and new tests cases in DatasetSuite.scala

Closes #41876 from eejbyfeldt/SPARK-44311.

Authored-by: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 821026bc730ce87e6e97d304c7673bfcb23fd03a)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      |  7 +++++-
 .../sql/catalyst/expressions/ScalaUDF.scala   |  4 +++-
 .../org/apache/spark/sql/DatasetSuite.scala   | 24 +++++++++++++++++++
 3 files changed, 33 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 30c6e4b4bc029..7f2471c9e1982 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -3245,7 +3245,12 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
             val dataType = udf.children(i).dataType
             encOpt.map { enc =>
               val attrs = if (enc.isSerializedAsStructForTopLevel) {
-                DataTypeUtils.toAttributes(dataType.asInstanceOf[StructType])
+                // Value class that has been replaced with its underlying type
+                if (enc.schema.fields.size == 1 && enc.schema.fields.head.dataType == dataType) {
+                  DataTypeUtils.toAttributes(enc.schema.asInstanceOf[StructType])
+                } else {
+                  DataTypeUtils.toAttributes(dataType.asInstanceOf[StructType])
+                }
               } else {
                 // the field name doesn't matter here, so we use
                 // a simple literal to avoid any overhead
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
index 40274a8334051..910960bf84bbe 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
@@ -162,7 +162,9 @@ case class ScalaUDF(
     if (useEncoder) {
       val enc = inputEncoders(i).get
       val fromRow = enc.createDeserializer()
-      val converter = if (enc.isSerializedAsStructForTopLevel) {
+      val unwrappedValueClass = enc.isSerializedAsStruct &&
+        enc.schema.fields.size == 1 && enc.schema.fields.head.dataType == dataType
+      val converter = if (enc.isSerializedAsStructForTopLevel && !unwrappedValueClass) {
         row: Any => fromRow(row.asInstanceOf[InternalRow])
       } else {
         val inputRow = new GenericInternalRow(1)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index a021b049cf03c..c967540541a5c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -2514,6 +2514,27 @@ class DatasetSuite extends QueryTest
       }
     }
   }
+
+  test("SPARK-44311: UDF on value class taking underlying type (backwards compatability)") {
+    val f = udf((v: Int) => v > 1)
+    val ds = Seq(ValueClassContainer(ValueClass(1)), ValueClassContainer(ValueClass(2))).toDS()
+
+    checkDataset(ds.filter(f(col("v"))), ValueClassContainer(ValueClass(2)))
+  }
+
+  test("SPARK-44311: UDF on value class field in product") {
+    val f = udf((v: ValueClass) => v.i > 1)
+    val ds = Seq(ValueClassContainer(ValueClass(1)), ValueClassContainer(ValueClass(2))).toDS()
+
+    checkDataset(ds.filter(f(col("v"))), ValueClassContainer(ValueClass(2)))
+  }
+
+  test("SPARK-44311: UDF on value class this is stored as a struct") {
+    val f = udf((v: ValueClass) => v.i > 1)
+    val ds = Seq(Tuple1(ValueClass(1)), Tuple1(ValueClass(2))).toDS()
+
+    checkDataset(ds.filter(f(col("_1"))), Tuple1(ValueClass(2)))
+  }
 }
 
 class DatasetLargeResultCollectingSuite extends QueryTest
@@ -2545,6 +2566,9 @@ class DatasetLargeResultCollectingSuite extends QueryTest
   }
 }
 
+case class ValueClass(i: Int) extends AnyVal
+case class ValueClassContainer(v: ValueClass)
+
 case class Bar(a: Int)
 
 object AssertExecutionId {

From 84f17e7dcd5e6fa71a1a35a58d0ea19170e897a5 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Tue, 1 Aug 2023 08:15:45 -0700
Subject: [PATCH 120/986] [SPARK-44614][PYTHON][CONNECT][3.5] Add missing
 packages in setup.py

### What changes were proposed in this pull request?

Adds missing packages in `setup.py`.

### Why are the changes needed?

The following packages are not listed in `setup.py`.

- `pyspark.sql.connect.avro`
- `pyspark.sql.connect.client`
- `pyspark.sql.connect.streaming`
- `pyspark.ml.connect`

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

The existing tests.

Closes #42257 from ueshin/issues/SPARK-44614/3.5/packages.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/setup.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/python/setup.py b/python/setup.py
index a0297d4f9dcfd..4d14dfd3cb971 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -235,6 +235,7 @@ def run(self):
             "pyspark",
             "pyspark.cloudpickle",
             "pyspark.mllib",
+            "pyspark.ml.connect",
             "pyspark.mllib.linalg",
             "pyspark.mllib.stat",
             "pyspark.ml",
@@ -245,7 +246,10 @@ def run(self):
             "pyspark.sql",
             "pyspark.sql.avro",
             "pyspark.sql.connect",
+            "pyspark.sql.connect.avro",
+            "pyspark.sql.connect.client",
             "pyspark.sql.connect.proto",
+            "pyspark.sql.connect.streaming",
             "pyspark.sql.pandas",
             "pyspark.sql.protobuf",
             "pyspark.sql.streaming",

From 922b44b51ff747d3971bc7c3badcb474a3a2d1f9 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 2 Aug 2023 02:58:28 +0900
Subject: [PATCH 121/986] [SPARK-44421][FOLLOWUP] Fix doc test in
 SparkThrowableSuite

### What changes were proposed in this pull request?

Forgot to `git add` the file after regenerating docs.

### Why are the changes needed?

Fix docs and reenable test.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually testing SparkThrowableSuite works in both master and branch-3.5.

Closes #42263 from juliuszsompolski/SPARK-44421-SparkThrowableSuite-followup.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5b8eaf8be5089f431caffcae4edfdaf97c499e8d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/SparkThrowableSuite.scala    |  2 +-
 ...r-conditions-invalid-cursor-error-class.md | 44 +++++++++++++++++++
 2 files changed, 45 insertions(+), 1 deletion(-)
 create mode 100644 docs/sql-error-conditions-invalid-cursor-error-class.md

diff --git a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
index 3762d6fdcc150..0249cde54884b 100644
--- a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
@@ -149,7 +149,7 @@ class SparkThrowableSuite extends SparkFunSuite {
     checkIfUnique(messageFormats)
   }
 
-  ignore("Error classes match with document") {
+  test("Error classes match with document") {
     val errors = errorReader.errorInfoMap
 
     // the black list of error class name which should not add quote
diff --git a/docs/sql-error-conditions-invalid-cursor-error-class.md b/docs/sql-error-conditions-invalid-cursor-error-class.md
new file mode 100644
index 0000000000000..0b6a4ae17aa32
--- /dev/null
+++ b/docs/sql-error-conditions-invalid-cursor-error-class.md
@@ -0,0 +1,44 @@
+---
+layout: global
+title: INVALID_CURSOR error class
+displayTitle: INVALID_CURSOR error class
+license: |
+  Licensed to the Apache Software Foundation (ASF) under one or more
+  contributor license agreements.  See the NOTICE file distributed with
+  this work for additional information regarding copyright ownership.
+  The ASF licenses this file to You under the Apache License, Version 2.0
+  (the "License"); you may not use this file except in compliance with
+  the License.  You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+---
+
+[SQLSTATE: HY109](sql-error-conditions-sqlstates.html#class-HY-cli-specific-condition)
+
+The cursor is invalid.
+
+This error class has the following derived error classes:
+
+## DISCONNECTED
+
+The cursor has been disconnected by the server.
+
+## NOT_REATTACHABLE
+
+The cursor is not reattachable.
+
+## POSITION_NOT_AVAILABLE
+
+The cursor position id `<responseId>` is no longer available at index `<index>`.
+
+## POSITION_NOT_FOUND
+
+The cursor position id `<responseId>` is not found.
+
+

From bde7aa61ce3de15323a8920e8114a681fcd17000 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 1 Aug 2023 14:39:38 -0400
Subject: [PATCH 122/986] [SPARK-44613][CONNECT] Add Encoders object

### What changes were proposed in this pull request?
This PR adds the org.apache.spark.sql.Encoders object to Connect.

### Why are the changes needed?
To increase compatibility with the SQL Dataframe API

### Does this PR introduce _any_ user-facing change?
Yes, it adds missing functionality.

### How was this patch tested?
Added a couple of java based tests.

Closes #42264 from hvanhovell/SPARK-44613.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 4f62f8a718e80dca13a1d44b6fdf8857f037c15e)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Encoders.scala | 262 ++++++++++++++++++
 .../sql/connect/client/SparkResult.scala      |  14 +-
 .../apache/spark/sql/JavaEncoderSuite.java    |  94 +++++++
 .../CheckConnectJvmClientCompatibility.scala  |   8 +-
 .../client/util/RemoteSparkSession.scala      |   2 +-
 5 files changed, 371 insertions(+), 9 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
 create mode 100644 connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
new file mode 100644
index 0000000000000..3f2f7ec96d4f5
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
@@ -0,0 +1,262 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql
+
+import scala.reflect.runtime.universe.TypeTag
+
+import org.apache.spark.sql.catalyst.{JavaTypeInference, ScalaReflection}
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
+
+/**
+ * Methods for creating an [[Encoder]].
+ *
+ * @since 3.5.0
+ */
+object Encoders {
+
+  /**
+   * An encoder for nullable boolean type. The Scala primitive encoder is available as
+   * [[scalaBoolean]].
+   * @since 3.5.0
+   */
+  def BOOLEAN: Encoder[java.lang.Boolean] = BoxedBooleanEncoder
+
+  /**
+   * An encoder for nullable byte type. The Scala primitive encoder is available as [[scalaByte]].
+   * @since 3.5.0
+   */
+  def BYTE: Encoder[java.lang.Byte] = BoxedByteEncoder
+
+  /**
+   * An encoder for nullable short type. The Scala primitive encoder is available as
+   * [[scalaShort]].
+   * @since 3.5.0
+   */
+  def SHORT: Encoder[java.lang.Short] = BoxedShortEncoder
+
+  /**
+   * An encoder for nullable int type. The Scala primitive encoder is available as [[scalaInt]].
+   * @since 3.5.0
+   */
+  def INT: Encoder[java.lang.Integer] = BoxedIntEncoder
+
+  /**
+   * An encoder for nullable long type. The Scala primitive encoder is available as [[scalaLong]].
+   * @since 3.5.0
+   */
+  def LONG: Encoder[java.lang.Long] = BoxedLongEncoder
+
+  /**
+   * An encoder for nullable float type. The Scala primitive encoder is available as
+   * [[scalaFloat]].
+   * @since 3.5.0
+   */
+  def FLOAT: Encoder[java.lang.Float] = BoxedFloatEncoder
+
+  /**
+   * An encoder for nullable double type. The Scala primitive encoder is available as
+   * [[scalaDouble]].
+   * @since 3.5.0
+   */
+  def DOUBLE: Encoder[java.lang.Double] = BoxedDoubleEncoder
+
+  /**
+   * An encoder for nullable string type.
+   *
+   * @since 3.5.0
+   */
+  def STRING: Encoder[java.lang.String] = StringEncoder
+
+  /**
+   * An encoder for nullable decimal type.
+   *
+   * @since 3.5.0
+   */
+  def DECIMAL: Encoder[java.math.BigDecimal] = DEFAULT_JAVA_DECIMAL_ENCODER
+
+  /**
+   * An encoder for nullable date type.
+   *
+   * @since 3.5.0
+   */
+  def DATE: Encoder[java.sql.Date] = DateEncoder(lenientSerialization = false)
+
+  /**
+   * Creates an encoder that serializes instances of the `java.time.LocalDate` class to the
+   * internal representation of nullable Catalyst's DateType.
+   *
+   * @since 3.5.0
+   */
+  def LOCALDATE: Encoder[java.time.LocalDate] = STRICT_LOCAL_DATE_ENCODER
+
+  /**
+   * Creates an encoder that serializes instances of the `java.time.LocalDateTime` class to the
+   * internal representation of nullable Catalyst's TimestampNTZType.
+   *
+   * @since 3.5.0
+   */
+  def LOCALDATETIME: Encoder[java.time.LocalDateTime] = LocalDateTimeEncoder
+
+  /**
+   * An encoder for nullable timestamp type.
+   *
+   * @since 3.5.0
+   */
+  def TIMESTAMP: Encoder[java.sql.Timestamp] = STRICT_TIMESTAMP_ENCODER
+
+  /**
+   * Creates an encoder that serializes instances of the `java.time.Instant` class to the internal
+   * representation of nullable Catalyst's TimestampType.
+   *
+   * @since 3.5.0
+   */
+  def INSTANT: Encoder[java.time.Instant] = STRICT_INSTANT_ENCODER
+
+  /**
+   * An encoder for arrays of bytes.
+   *
+   * @since 3.5.0
+   */
+  def BINARY: Encoder[Array[Byte]] = BinaryEncoder
+
+  /**
+   * Creates an encoder that serializes instances of the `java.time.Duration` class to the
+   * internal representation of nullable Catalyst's DayTimeIntervalType.
+   *
+   * @since 3.5.0
+   */
+  def DURATION: Encoder[java.time.Duration] = DayTimeIntervalEncoder
+
+  /**
+   * Creates an encoder that serializes instances of the `java.time.Period` class to the internal
+   * representation of nullable Catalyst's YearMonthIntervalType.
+   *
+   * @since 3.5.0
+   */
+  def PERIOD: Encoder[java.time.Period] = YearMonthIntervalEncoder
+
+  /**
+   * Creates an encoder for Java Bean of type T.
+   *
+   * T must be publicly accessible.
+   *
+   * supported types for java bean field:
+   *   - primitive types: boolean, int, double, etc.
+   *   - boxed types: Boolean, Integer, Double, etc.
+   *   - String
+   *   - java.math.BigDecimal, java.math.BigInteger
+   *   - time related: java.sql.Date, java.sql.Timestamp, java.time.LocalDate, java.time.Instant
+   *   - collection types: array, java.util.List, and map
+   *   - nested java bean.
+   *
+   * @since 3.5.0
+   */
+  def bean[T](beanClass: Class[T]): Encoder[T] = JavaTypeInference.encoderFor(beanClass)
+
+  private def tupleEncoder[T](encoders: Encoder[_]*): Encoder[T] = {
+    ProductEncoder.tuple(encoders.asInstanceOf[Seq[AgnosticEncoder[_]]]).asInstanceOf[Encoder[T]]
+  }
+
+  /**
+   * An encoder for 2-ary tuples.
+   *
+   * @since 3.5.0
+   */
+  def tuple[T1, T2](e1: Encoder[T1], e2: Encoder[T2]): Encoder[(T1, T2)] = tupleEncoder(e1, e2)
+
+  /**
+   * An encoder for 3-ary tuples.
+   *
+   * @since 3.5.0
+   */
+  def tuple[T1, T2, T3](
+      e1: Encoder[T1],
+      e2: Encoder[T2],
+      e3: Encoder[T3]): Encoder[(T1, T2, T3)] = tupleEncoder(e1, e2, e3)
+
+  /**
+   * An encoder for 4-ary tuples.
+   *
+   * @since 3.5.0
+   */
+  def tuple[T1, T2, T3, T4](
+      e1: Encoder[T1],
+      e2: Encoder[T2],
+      e3: Encoder[T3],
+      e4: Encoder[T4]): Encoder[(T1, T2, T3, T4)] = tupleEncoder(e1, e2, e3, e4)
+
+  /**
+   * An encoder for 5-ary tuples.
+   *
+   * @since 3.5.0
+   */
+  def tuple[T1, T2, T3, T4, T5](
+      e1: Encoder[T1],
+      e2: Encoder[T2],
+      e3: Encoder[T3],
+      e4: Encoder[T4],
+      e5: Encoder[T5]): Encoder[(T1, T2, T3, T4, T5)] = tupleEncoder(e1, e2, e3, e4, e5)
+
+  /**
+   * An encoder for Scala's product type (tuples, case classes, etc).
+   * @since 3.5.0
+   */
+  def product[T <: Product: TypeTag]: Encoder[T] = ScalaReflection.encoderFor[T]
+
+  /**
+   * An encoder for Scala's primitive int type.
+   * @since 3.5.0
+   */
+  def scalaInt: Encoder[Int] = PrimitiveIntEncoder
+
+  /**
+   * An encoder for Scala's primitive long type.
+   * @since 3.5.0
+   */
+  def scalaLong: Encoder[Long] = PrimitiveLongEncoder
+
+  /**
+   * An encoder for Scala's primitive double type.
+   * @since 3.5.0
+   */
+  def scalaDouble: Encoder[Double] = PrimitiveDoubleEncoder
+
+  /**
+   * An encoder for Scala's primitive float type.
+   * @since 3.5.0
+   */
+  def scalaFloat: Encoder[Float] = PrimitiveFloatEncoder
+
+  /**
+   * An encoder for Scala's primitive byte type.
+   * @since 3.5.0
+   */
+  def scalaByte: Encoder[Byte] = PrimitiveByteEncoder
+
+  /**
+   * An encoder for Scala's primitive short type.
+   * @since 3.5.0
+   */
+  def scalaShort: Encoder[Short] = PrimitiveShortEncoder
+
+  /**
+   * An encoder for Scala's primitive boolean type.
+   * @since 3.5.0
+   */
+  def scalaBoolean: Encoder[Boolean] = PrimitiveBooleanEncoder
+}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index e3055b2678f70..93c32aa2954a3 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -182,11 +182,15 @@ private[sql] class SparkResult[T](
   def toArray: Array[T] = {
     val result = encoder.clsTag.newArray(length)
     val rows = iterator
-    var i = 0
-    while (rows.hasNext) {
-      result(i) = rows.next()
-      assert(i < numRecords)
-      i += 1
+    try {
+      var i = 0
+      while (rows.hasNext) {
+        result(i) = rows.next()
+        assert(i < numRecords)
+        i += 1
+      }
+    } finally {
+      rows.close()
     }
     result
   }
diff --git a/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
new file mode 100644
index 0000000000000..c8210a7a485b1
--- /dev/null
+++ b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql;
+
+import org.junit.*;
+import static org.junit.Assert.*;
+
+import static org.apache.spark.sql.Encoders.*;
+import static org.apache.spark.sql.functions.*;
+import org.apache.spark.sql.connect.client.SparkConnectClient;
+import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils;
+
+import java.math.BigDecimal;
+import java.util.Arrays;
+
+/**
+ * Tests for the encoders class.
+ */
+public class JavaEncoderSuite {
+  private static SparkSession spark;
+
+  @BeforeClass
+  public static void setup() {
+    SparkConnectServerUtils.start();
+    spark = SparkSession
+        .builder()
+        .client(SparkConnectClient
+            .builder()
+            .port(SparkConnectServerUtils.port())
+            .build())
+        .create();
+  }
+
+  @AfterClass
+  public static void tearDown() {
+    spark.stop();
+    spark = null;
+    SparkConnectServerUtils.stop();
+  }
+
+  private static BigDecimal bigDec(long unscaled, int scale) {
+    return BigDecimal.valueOf(unscaled, scale);
+  }
+
+
+  private <T> Dataset<T> dataset(Encoder<T> encoder, T... elements) {
+    return spark.createDataset(Arrays.asList(elements), encoder);
+  }
+
+  @Test
+  public void testSimpleEncoders() {
+    final Column v = col("value");
+    assertFalse(
+        dataset(BOOLEAN(), false, true, false).select(every(v)).as(BOOLEAN()).head());
+    assertEquals(
+        7L,
+        dataset(BYTE(), (byte) -120, (byte)127).select(sum(v)).as(LONG()).head().longValue());
+    assertEquals(
+        (short) 16,
+        dataset(SHORT(), (short)16, (short)2334).select(min(v)).as(SHORT()).head().shortValue());
+    assertEquals(
+        10L,
+        dataset(INT(), 1, 2, 3, 4).select(sum(v)).as(LONG()).head().longValue());
+    assertEquals(
+        96L,
+        dataset(LONG(), 77L, 19L).select(sum(v)).as(LONG()).head().longValue());
+    assertEquals(
+        0.12f,
+        dataset(FLOAT(), 0.12f, 0.3f, 44f).select(min(v)).as(FLOAT()).head(),
+        0.0001f);
+    assertEquals(
+        789d,
+        dataset(DOUBLE(), 789d, 12.213d, 10.01d).select(max(v)).as(DOUBLE()).head(),
+        0.0001f);
+    assertEquals(
+        bigDec(1002, 2),
+        dataset(DECIMAL(), bigDec(1000, 2), bigDec(2, 2))
+            .select(sum(v)).as(DECIMAL()).head().setScale(2));
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 08028f26eb40f..6e577e0f21257 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -192,7 +192,6 @@ object CheckConnectJvmClientCompatibility {
 
       // functions
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.udf"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.call_udf"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.callUDF"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.unwrap_udt"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.udaf"),
@@ -216,7 +215,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.sqlContext"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.listenerManager"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.experimental"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.udf"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.udtf"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.streams"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.createDataFrame"),
@@ -418,7 +416,11 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.streaming.RemoteStreamingQuery"),
       ProblemFilters.exclude[MissingClassProblem](
-        "org.apache.spark.sql.streaming.RemoteStreamingQuery$"))
+        "org.apache.spark.sql.streaming.RemoteStreamingQuery$"),
+
+      // Encoders are in the wrong JAR
+      ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.Encoders"),
+      ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.Encoders$"))
 
     checkMiMaCompatibility(sqlJar, clientJar, includedRules, excludeRules)
   }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
index 88c0785d3af48..f14109e49b57d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
@@ -50,7 +50,7 @@ import org.apache.spark.sql.connect.common.config.ConnectCommon
 object SparkConnectServerUtils {
 
   // Server port
-  private[spark] val port: Int =
+  val port: Int =
     ConnectCommon.CONNECT_GRPC_BINDING_PORT + util.Random.nextInt(1000)
 
   @volatile private var stopped = false

From 8537fa634cd02f46e7b42afd6b35f877f3a2c161 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <hvanhovell@databricks.com>
Date: Tue, 1 Aug 2023 14:53:54 -0400
Subject: [PATCH 123/986] [SPARK-29497][CONNECT] Throw error when UDF is not
 deserializable

### What changes were proposed in this pull request?
This PR adds a better error message when a JVM UDF cannot be deserialized.

### Why are the changes needed?
In some cases a UDF cannot be deserialized. The happens when a lambda references itself (typically through the capturing class). Java cannot deserialize such an object graph because SerializedLambda's are serialization proxies which need the full graph to be deserialized before they can be transformed into the actual lambda. This is not possible if there is such a cycle. This PR adds a more readable and understandable error when this happens, the original java one is a `ClassCastException` which does not explain or give any hints of what is actually going on.

### Does this PR introduce _any_ user-facing change?
Yes. It will throw an error on the client when a UDF is not deserializable. The error is better and more actionable then what we got before.

### How was this patch tested?
Added tests.

Closes #42245 from hvanhovell/SPARK-29497.

Lead-authored-by: Herman van Hovell <hvanhovell@databricks.com>
Co-authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit f54b402021785e0b0ec976ec889de67d3b2fdc6e)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../apache/spark/util/SparkSerDeUtils.scala   | 21 ++++++++-
 .../sql/expressions/UserDefinedFunction.scala | 24 +++++++++-
 .../spark/sql/UserDefinedFunctionSuite.scala  | 44 +++++++++++++++++--
 .../scala/org/apache/spark/util/Utils.scala   | 23 +---------
 4 files changed, 85 insertions(+), 27 deletions(-)

diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
index 3069e4c36a749..9b6174c47bde3 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
@@ -16,9 +16,9 @@
  */
 package org.apache.spark.util
 
-import java.io.{ByteArrayInputStream, ByteArrayOutputStream, ObjectInputStream, ObjectOutputStream}
+import java.io.{ByteArrayInputStream, ByteArrayOutputStream, ObjectInputStream, ObjectOutputStream, ObjectStreamClass}
 
-object SparkSerDeUtils {
+trait SparkSerDeUtils {
   /** Serialize an object using Java serialization */
   def serialize[T](o: T): Array[Byte] = {
     val bos = new ByteArrayOutputStream()
@@ -34,4 +34,21 @@ object SparkSerDeUtils {
     val ois = new ObjectInputStream(bis)
     ois.readObject.asInstanceOf[T]
   }
+
+  /**
+   * Deserialize an object using Java serialization and the given ClassLoader
+   */
+  def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
+    val bis = new ByteArrayInputStream(bytes)
+    val ois = new ObjectInputStream(bis) {
+      override def resolveClass(desc: ObjectStreamClass): Class[_] = {
+        // scalastyle:off classforname
+        Class.forName(desc.getName, false, loader)
+        // scalastyle:on classforname
+      }
+    }
+    ois.readObject.asInstanceOf[T]
+  }
 }
+
+object SparkSerDeUtils extends SparkSerDeUtils
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
index 3a38029c265c2..e060dba0b7e42 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
@@ -18,16 +18,18 @@ package org.apache.spark.sql.expressions
 
 import scala.collection.JavaConverters._
 import scala.reflect.runtime.universe.TypeTag
+import scala.util.control.NonFatal
 
 import com.google.protobuf.ByteString
 
+import org.apache.spark.SparkException
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.Column
 import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, RowEncoder}
 import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, UdfPacket}
 import org.apache.spark.sql.types.DataType
-import org.apache.spark.util.SparkSerDeUtils
+import org.apache.spark.util.{SparkClassUtils, SparkSerDeUtils}
 
 /**
  * A user-defined function. To create one, use the `udf` functions in `functions`.
@@ -144,6 +146,25 @@ case class ScalarUserDefinedFunction private[sql] (
 }
 
 object ScalarUserDefinedFunction {
+  private val LAMBDA_DESERIALIZATION_ERR_MSG: String =
+    "cannot assign instance of java.lang.invoke.SerializedLambda to field"
+
+  private def checkDeserializable(bytes: Array[Byte]): Unit = {
+    try {
+      SparkSerDeUtils.deserialize(bytes, SparkClassUtils.getContextOrSparkClassLoader)
+    } catch {
+      case e: ClassCastException if e.getMessage.contains(LAMBDA_DESERIALIZATION_ERR_MSG) =>
+        throw new SparkException(
+          "UDF cannot be executed on a Spark cluster: it cannot be deserialized. " +
+            "This is very likely to be caused by the lambda function (the UDF) having a " +
+            "self-reference. This is not supported by java serialization.")
+      case NonFatal(e) =>
+        throw new SparkException(
+          "UDF cannot be executed on a Spark cluster: it cannot be deserialized.",
+          e)
+    }
+  }
+
   private[sql] def apply(
       function: AnyRef,
       returnType: TypeTag[_],
@@ -164,6 +185,7 @@ object ScalarUserDefinedFunction {
       outputEncoder: AgnosticEncoder[_]): ScalarUserDefinedFunction = {
     val udfPacketBytes =
       SparkSerDeUtils.serialize(UdfPacket(function, inputEncoders, outputEncoder))
+    checkDeserializable(udfPacketBytes)
     ScalarUserDefinedFunction(
       serializedUdfPacket = udfPacketBytes,
       inputTypes = inputEncoders.map(_.dataType).map(DataTypeProtoConverter.toConnectProtoType),
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
index 684f5671e482b..76608559866fa 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
@@ -18,15 +18,14 @@ package org.apache.spark.sql
 
 import scala.reflect.runtime.universe.typeTag
 
-import org.scalatest.BeforeAndAfterEach
-
+import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.connect.common.UdfPacket
 import org.apache.spark.sql.functions.udf
 import org.apache.spark.util.SparkSerDeUtils
 
-class UserDefinedFunctionSuite extends ConnectFunSuite with BeforeAndAfterEach {
+class UserDefinedFunctionSuite extends ConnectFunSuite {
 
   test("udf and encoder serialization") {
     def func(x: Int): Int = x + 1
@@ -48,4 +47,43 @@ class UserDefinedFunctionSuite extends ConnectFunSuite with BeforeAndAfterEach {
     assert(deSer.outputEncoder == ScalaReflection.encoderFor(typeTag[Int]))
     assert(deSer.inputEncoders == Seq(ScalaReflection.encoderFor(typeTag[Int])))
   }
+
+  private def testNonDeserializable(f: Int => Int): Unit = {
+    val e = intercept[SparkException](udf(f))
+    assert(
+      e.getMessage.contains(
+        "UDF cannot be executed on a Spark cluster: it cannot be deserialized."))
+    assert(e.getMessage.contains("This is not supported by java serialization."))
+  }
+
+  test("non deserializable UDFs") {
+    testNonDeserializable(Command2(Command1()).indirect)
+    testNonDeserializable(MultipleLambdas().indirect)
+    testNonDeserializable(SelfRef(22).method)
+  }
+
+  test("serializable UDFs") {
+    val direct = (i: Int) => i + 1
+    val indirect = (i: Int) => direct(i)
+    udf(indirect)
+    udf(Command1().direct)
+    udf(MultipleLambdas().direct)
+  }
+}
+
+case class Command1() extends Serializable {
+  val direct: Int => Int = (i: Int) => i + 1
+}
+
+case class Command2(prev: Command1) extends Serializable {
+  val indirect: Int => Int = (i: Int) => prev.direct(i)
+}
+
+case class SelfRef(start: Int) extends Serializable {
+  val method: Int => Int = (i: Int) => i + start
+}
+
+case class MultipleLambdas() extends Serializable {
+  val direct: Int => Int = (i: Int) => i + 1
+  val indirect: Int => Int = (i: Int) => direct(i)
 }
diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index a3002eb40f4a7..a556f03dc09de 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -95,7 +95,8 @@ private[spark] object Utils
   extends Logging
   with SparkClassUtils
   with SparkErrorUtils
-  with SparkFileUtils {
+  with SparkFileUtils
+  with SparkSerDeUtils {
 
   private val sparkUncaughtExceptionHandler = new SparkUncaughtExceptionHandler
   @volatile private var cachedLocalDir: String = ""
@@ -121,26 +122,6 @@ private[spark] object Utils
   private val copyBuffer = ThreadLocal.withInitial[Array[Byte]](() => {
     new Array[Byte](COPY_BUFFER_LEN)
   })
-
-  /** Serialize an object using Java serialization */
-  def serialize[T](o: T): Array[Byte] = SparkSerDeUtils.serialize(o)
-
-  /** Deserialize an object using Java serialization */
-  def deserialize[T](bytes: Array[Byte]): T = SparkSerDeUtils.deserialize(bytes)
-
-  /** Deserialize an object using Java serialization and the given ClassLoader */
-  def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
-    val bis = new ByteArrayInputStream(bytes)
-    val ois = new ObjectInputStream(bis) {
-      override def resolveClass(desc: ObjectStreamClass): Class[_] = {
-        // scalastyle:off classforname
-        Class.forName(desc.getName, false, loader)
-        // scalastyle:on classforname
-      }
-    }
-    ois.readObject.asInstanceOf[T]
-  }
-
   /** Deserialize a Long value (used for [[org.apache.spark.api.python.PythonPartitioner]]) */
   def deserializeLongValue(bytes: Array[Byte]) : Long = {
     // Note: we assume that we are given a Long value encoded in network (big-endian) byte order

From 41b2bf85a59c2187f92279ab39fc61060acbf27a Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 2 Aug 2023 04:56:10 +0800
Subject: [PATCH 124/986] [SPARK-44601][BUILD] Add `jackson-mapper-asl` as test
 dependency to `hive-thriftserver` module to make Maven test pass

### What changes were proposed in this pull request?
Run the following maven test commands to test `hive-thriftserver`

```
./build/mvn -DskipTests -Pyarn -Pmesos -Pkubernetes -Pvolcano -Phive -Phive-thriftserver -Phadoop-cloud -Pspark-ganglia-lgpl clean install
./build/mvn -pl sql/hive-thriftserver -Phive -Phive-thriftserver clean install
```

There are many similar test failures like:

```
2023-08-01 02:46:59.286 - stderr> Setting default log level to "WARN".
  2023-08-01 02:46:59.287 - stderr> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
  2023-08-01 02:47:00.191 - stderr> 2023-08-01 17:47:00.190:INFO::main: Logging initialized 2591ms to org.eclipse.jetty.util.log.StdErrLog
  2023-08-01 02:47:03.673 - stderr> Spark master: local, Application Id: local-1690883219913
  2023-08-01 02:47:04.582 - stdout> spark-sql> CREATE TABLE t1(key string, val string)
  2023-08-01 02:47:04.594 - stdout>          > ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe';
  2023-08-01 02:47:05.615 - stderr> org/codehaus/jackson/JsonParseException
  2023-08-01 02:47:05.616 - stderr> java.lang.NoClassDefFoundError: org/codehaus/jackson/JsonParseException
  2023-08-01 02:47:05.616 - stderr> 	at java.lang.Class.forName0(Native Method)
  2023-08-01 02:47:05.616 - stderr> 	at java.lang.Class.forName(Class.java:348)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.conf.Configuration.getClassByNameOrNull(Configuration.java:2630)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2595)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:447)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:440)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:281)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Table.getDeserializer(Table.java:263)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Table.getColsInternal(Table.java:641)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Table.getCols(Table.java:624)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:838)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:874)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.Shim_v0_12.createTable(HiveShim.scala:614)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$createTable$1(HiveClientImpl.scala:573)
  2023-08-01 02:47:05.616 - stderr> 	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:303)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:234)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:233)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:283)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.client.HiveClientImpl.createTable(HiveClientImpl.scala:571)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$createTable$1(HiveExternalCatalog.scala:288)
  2023-08-01 02:47:05.616 - stderr> 	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:99)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.HiveExternalCatalog.createTable(HiveExternalCatalog.scala:245)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.createTable(ExternalCatalogWithListener.scala:94)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.createTable(SessionCatalog.scala:402)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.command.CreateTableCommand.run(tables.scala:170)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:132)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:210)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:115)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:221)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:101)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:98)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:68)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:501)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:619)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:613)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.Iterator.foreach(Iterator.scala:943)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.Iterator.foreach$(Iterator.scala:943)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
  2023-08-01 02:47:05.616 - stderr> 	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:613)
  2023-08-01 02:47:05.616 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:310)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
  2023-08-01 02:47:05.617 - stderr> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  2023-08-01 02:47:05.617 - stderr> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
  2023-08-01 02:47:05.617 - stderr> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  2023-08-01 02:47:05.617 - stderr> 	at java.lang.reflect.Method.invoke(Method.java:498)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1029)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1120)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1129)
  2023-08-01 02:47:05.617 - stderr> 	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
  2023-08-01 02:47:05.617 - stderr> Caused by: java.lang.ClassNotFoundException: org.codehaus.jackson.JsonParseException
  2023-08-01 02:47:05.617 - stderr> 	at java.net.URLClassLoader.findClass(URLClassLoader.java:387)
  2023-08-01 02:47:05.617 - stderr> 	at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
  2023-08-01 02:47:05.617 - stderr> 	at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
  2023-08-01 02:47:05.617 - stderr> 	... 85 more
  ===========================
  End CliSuite failure output
  =========================== (CliSuite.scala:216)
```

So this pr add `jackson-mapper-asl` as test dependency to `hive-thriftserver` module to make maven test pass.

### Why are the changes needed?
Make `hive-thriftserver` module maven test pass.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual checked with this pr

```
./build/mvn -DskipTests -Pyarn -Pmesos -Pkubernetes -Pvolcano -Phive -Phive-thriftserver -Phadoop-cloud -Pspark-ganglia-lgpl clean install
./build/mvn -pl sql/hive-thriftserver -Phive -Phive-thriftserver clean install
```

```
Run completed in 17 minutes, 0 seconds.
Total number of tests run: 601
Suites: completed 20, aborted 0
Tests: succeeded 601, failed 0, canceled 0, ignored 20, pending 0
All tests passed.
```

Closes #42260 from LuciferYang/SPARK-44601.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit cdcf12b9fc7026c77d4e7c2b5506e5daa3472ff0)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 sql/hive-thriftserver/pom.xml | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index ad7fc0d2ac4bd..fb7ac8e16ce8c 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -147,6 +147,15 @@
       <groupId>org.apache.httpcomponents</groupId>
       <artifactId>httpcore</artifactId>
     </dependency>
+    <!--
+      SPARK-44601: Add this test dependency to ensure that `hive-thriftserver` module
+      can be tested using Maven
+    -->
+    <dependency>
+      <groupId>org.codehaus.jackson</groupId>
+      <artifactId>jackson-mapper-asl</artifactId>
+      <scope>test</scope>
+    </dependency>
   </dependencies>
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>

From 53799e15c1e4396189449f02667a7716fab4cdef Mon Sep 17 00:00:00 2001
From: Henry Mai <henrymai@users.noreply.github.com>
Date: Tue, 1 Aug 2023 14:33:10 -0700
Subject: [PATCH 125/986] [SPARK-44588][CORE] Fix double encryption issue for
 migrated shuffle blocks

### What changes were proposed in this pull request?

Fix double encryption issue for migrated shuffle blocks

Shuffle blocks upon migration are sent without decryption when io.encryption is enabled. The code on the receiving side ends up using serializer.wrapStream on the OutputStream to the file which results in the already encrypted bytes being encrypted again when the bytes are written out.

This patch removes the usage of serializerManager.wrapStream on the receiving side and also adds tests that validate that this works as expected. I have also validated that the added tests will fail if the fix is not in place.

Jira ticket with more details: https://issues.apache.org/jira/browse/SPARK-44588

### Why are the changes needed?

Migrated shuffle blocks will be double encrypted when `spark.io.encryption = true` without this fix.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit tests were added to test shuffle block migration with spark.io.encryption enabled and also fixes a test helper method to properly construct the SerializerManager with the encryption key.

Closes #42214 from henrymai/fix_shuffle_migration_double_encryption.

Authored-by: Henry Mai <henrymai@users.noreply.github.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 6f6dd38ce542bf9876b849f85c01f47ee1ec93ca)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../shuffle/IndexShuffleBlockResolver.scala   |  8 ++++--
 .../spark/storage/BlockManagerSuite.scala     | 28 +++++++++++++++----
 2 files changed, 28 insertions(+), 8 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
index 08dec2e4dd3e2..919b0f5f7c135 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
@@ -242,9 +242,11 @@ private[spark] class IndexShuffleBlockResolver(
           s"${blockId.getClass().getSimpleName()}", category = "SHUFFLE")
     }
     val fileTmp = createTempFile(file)
-    val channel = Channels.newChannel(
-      serializerManager.wrapStream(blockId,
-        new FileOutputStream(fileTmp)))
+
+    // Shuffle blocks' file bytes are being sent directly over the wire, so there is no need to
+    // serializerManager.wrapStream() on it. Meaning if it was originally encrypted, then
+    // it will stay encrypted when being written out to the file here.
+    val channel = Channels.newChannel(new FileOutputStream(fileTmp))
 
     new StreamCallbackWithID {
 
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
index ab6c2693b0e3a..ecd66dc2c5fb0 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
@@ -131,7 +131,7 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
       None
     }
     val bmSecurityMgr = new SecurityManager(bmConf, encryptionKey)
-    val serializerManager = new SerializerManager(serializer, bmConf)
+    val serializerManager = new SerializerManager(serializer, bmConf, encryptionKey)
     val transfer = transferService.getOrElse(new NettyBlockTransferService(
       conf, securityMgr, serializerManager, "localhost", "localhost", 0, 1))
     val memManager = UnifiedMemoryManager(bmConf, numCores = 1)
@@ -2033,10 +2033,13 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
     assert(master.getLocations(blockIdLarge) === Seq(store1.blockManagerId))
   }
 
-  private def testShuffleBlockDecommissioning(maxShuffleSize: Option[Int], willReject: Boolean) = {
+  private def testShuffleBlockDecommissioning(
+      maxShuffleSize: Option[Int], willReject: Boolean, enableIoEncryption: Boolean) = {
     maxShuffleSize.foreach{ size =>
       conf.set(STORAGE_DECOMMISSION_SHUFFLE_MAX_DISK_SIZE.key, s"${size}b")
     }
+    conf.set(IO_ENCRYPTION_ENABLED, enableIoEncryption)
+
     val shuffleManager1 = makeSortShuffleManager(Some(conf))
     val bm1 = makeBlockManager(3500, "exec1", shuffleManager = shuffleManager1)
     shuffleManager1.shuffleBlockResolver._blockManager = bm1
@@ -2095,15 +2098,30 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
   }
 
   test("test migration of shuffle blocks during decommissioning - no limit") {
-    testShuffleBlockDecommissioning(None, true)
+    testShuffleBlockDecommissioning(None, true, false)
+  }
+
+  test("test migration of shuffle blocks during decommissioning - no limit - " +
+      "io.encryption enabled") {
+    testShuffleBlockDecommissioning(None, true, true)
   }
 
   test("test migration of shuffle blocks during decommissioning - larger limit") {
-    testShuffleBlockDecommissioning(Some(10000), true)
+    testShuffleBlockDecommissioning(Some(10000), true, false)
+  }
+
+  test("test migration of shuffle blocks during decommissioning - larger limit - " +
+      "io.encryption enabled") {
+    testShuffleBlockDecommissioning(Some(10000), true, true)
   }
 
   test("[SPARK-34363]test migration of shuffle blocks during decommissioning - small limit") {
-    testShuffleBlockDecommissioning(Some(1), false)
+    testShuffleBlockDecommissioning(Some(1), false, false)
+  }
+
+  test("[SPARK-34363]test migration of shuffle blocks during decommissioning - small limit -" +
+      " io.encryption enabled") {
+    testShuffleBlockDecommissioning(Some(1), false, true)
   }
 
   test("SPARK-32919: Shuffle push merger locations should be bounded with in" +

From dbee20a426e8a290e83131dddf23c35b5b249959 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Wed, 2 Aug 2023 08:40:54 +0900
Subject: [PATCH 126/986] [SPARK-44218][PYTHON] Customize diff log in
 assertDataFrameEqual error message format

### What changes were proposed in this pull request?
This PR improves the error message format for `assertDataFrameEqual` by creating a new custom diff log function, `_context_diff_ `to print all Rows for `actual` and `expected` and highlight their different rows in color.

### Why are the changes needed?
The change is needed to clarify the error message for unequal DataFrames.

### Does this PR introduce _any_ user-facing change?
Yes, the PR affects the error message display for users. See the new error message output examples below.

### How was this patch tested?
Added tests to `python/pyspark/sql/tests/test_utils.py` and `python/pyspark/sql/tests/connect/test_utils.py`.

Example error messages:
<img width="894" alt="Screenshot 2023-07-31 at 7 41 55 PM" src="https://github.com/apache/spark/assets/68875504/04b5b985-4670-4d4b-8032-9704523a3df1">

<img width="875" alt="errormessage1" src="https://github.com/apache/spark/assets/68875504/d7b420c0-80d3-4853-b8e5-48ff6b459dc7">

Closes #42196 from asl3/update-difflib.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4f66f091ad5dbdd9177a7550a8da7e266a869147)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py    |  24 +-
 python/pyspark/pandas/tests/test_utils.py |   1 -
 python/pyspark/sql/tests/test_utils.py    | 269 +++++++++++++++-------
 python/pyspark/testing/utils.py           |  69 +++++-
 4 files changed, 261 insertions(+), 102 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index acecc48f0a8d9..554a25952b9b9 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -167,36 +167,44 @@
   "DIFFERENT_PANDAS_DATAFRAME" : {
     "message" : [
       "DataFrames are not almost equal:",
-      "Left: <left>",
+      "Left:",
+      "<left>",
       "<left_dtype>",
-      "Right: <right>",
+      "Right:",
+      "<right>",
       "<right_dtype>"
     ]
   },
   "DIFFERENT_PANDAS_INDEX" : {
     "message" : [
       "Indices are not almost equal:",
-      "Left: <left>",
+      "Left:",
+      "<left>",
       "<left_dtype>",
-      "Right: <right>",
+      "Right:",
+      "<right>",
       "<right_dtype>"
     ]
   },
   "DIFFERENT_PANDAS_MULTIINDEX" : {
     "message" : [
       "MultiIndices are not almost equal:",
-      "Left: <left>",
+      "Left:",
+      "<left>",
       "<left_dtype>",
-      "Right: <right>",
+      "Right:",
+      "<right>",
       "<right_dtype>"
     ]
   },
   "DIFFERENT_PANDAS_SERIES" : {
     "message" : [
       "Series are not almost equal:",
-      "Left: <left>",
+      "Left:",
+      "<left>",
       "<left_dtype>",
-      "Right: <right>",
+      "Right:",
+      "<right>",
       "<right_dtype>"
     ]
   },
diff --git a/python/pyspark/pandas/tests/test_utils.py b/python/pyspark/pandas/tests/test_utils.py
index de7b0449daefc..3d658446f2766 100644
--- a/python/pyspark/pandas/tests/test_utils.py
+++ b/python/pyspark/pandas/tests/test_utils.py
@@ -16,7 +16,6 @@
 #
 
 import pandas as pd
-from typing import Union
 
 from pyspark.pandas.indexes.base import Index
 from pyspark.pandas.utils import (
diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index b7ab596880f2e..76d397e3adeb8 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -23,7 +23,7 @@
     IllegalArgumentException,
     SparkUpgradeException,
 )
-from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual
+from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual, _context_diff
 from pyspark.testing.sqlutils import ReusedSQLTestCase
 from pyspark.sql import Row
 import pyspark.sql.functions as F
@@ -44,6 +44,7 @@
 
 import difflib
 from typing import List, Union
+from itertools import zip_longest
 
 
 class UtilsTestsMixin:
@@ -151,17 +152,22 @@ def test_assert_approx_equal_arraytype_float_default_rtol_fail(self):
             ),
         )
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (1 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
+
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), df2.collect())):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=2
         )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (1 / 2) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -169,7 +175,16 @@ def test_assert_approx_equal_arraytype_float_default_rtol_fail(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_ROWS",
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_assert_approx_equal_arraytype_float_custom_rtol_pass(self):
@@ -266,6 +281,7 @@ def test_assert_approx_equal_decimaltype_custom_rtol_pass(self):
     def test_assert_notequal_arraytype(self):
         df1 = self.spark.createDataFrame(
             data=[
+                ("Amy", ["C++", "Rust"]),
                 ("John", ["Python", "Java"]),
                 ("Jane", ["Scala", "SQL", "Java"]),
             ],
@@ -278,6 +294,7 @@ def test_assert_notequal_arraytype(self):
         )
         df2 = self.spark.createDataFrame(
             data=[
+                ("Amy", ["C++", "Rust"]),
                 ("John", ["Python", "Java"]),
                 ("Jane", ["Scala", "Java"]),
             ],
@@ -289,17 +306,25 @@ def test_assert_notequal_arraytype(self):
             ),
         )
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (1 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
+
+        sorted_list1 = sorted(df1.collect(), key=lambda x: str(x))
+        sorted_list2 = sorted(df2.collect(), key=lambda x: str(x))
+
+        # count different rows
+        for r1, r2 in list(zip_longest(sorted_list1, sorted_list2)):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=3
         )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (1 / 3) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -307,16 +332,33 @@ def test_assert_notequal_arraytype(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
+        )
+
+        rows_str1 = ""
+        rows_str2 = ""
+
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), df2.collect())):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=3
         )
 
+        error_msg = "Results do not match: "
+        percent_diff = (1 / 3) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
+
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_assert_equal_maptype(self):
@@ -588,17 +630,22 @@ def test_assert_notequal_nullval(self):
             schema=["id", "amount"],
         )
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (1 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
+
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), df2.collect())):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=2
         )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (1 / 2) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -606,7 +653,7 @@ def test_assert_notequal_nullval(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -615,7 +662,7 @@ def test_assert_notequal_nullval(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_assert_equal_nulldf(self):
@@ -762,22 +809,22 @@ def test_check_row_order_error(self):
             schema=["id", "amount"],
         )
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (2 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[0]).splitlines(), str(df2.collect()[0]).splitlines()
-        )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[1]).splitlines(), str(df2.collect()[1]).splitlines()
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), df2.collect())):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=2
         )
-        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (2 / 2) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2, checkRowOrder=True)
@@ -785,7 +832,7 @@ def test_check_row_order_error(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_remove_non_word_characters_long(self):
@@ -857,22 +904,22 @@ def test_assert_pyspark_df_not_equal(self):
             schema=["id", "amount"],
         )
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (2 / 3) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[0]).splitlines(), str(df2.collect()[0]).splitlines()
-        )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[2]).splitlines(), str(df2.collect()[2]).splitlines()
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), df2.collect())):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=3
         )
-        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (2 / 3) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, df2)
@@ -880,7 +927,7 @@ def test_assert_pyspark_df_not_equal(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -889,7 +936,7 @@ def test_assert_pyspark_df_not_equal(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_assert_notequal_schema(self):
@@ -1209,17 +1256,22 @@ def test_list_rows_unequal(self):
         list_of_rows1 = [Row(1, "abc", 5000), Row(2, "def", 1000)]
         list_of_rows2 = [Row(1, "abc", 5000), Row(2, "defg", 1000)]
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (1 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
 
-        generated_diff = difflib.ndiff(
-            str(list_of_rows1[1]).splitlines(), str(list_of_rows2[1]).splitlines()
+        # count different rows
+        for r1, r2 in list(zip_longest(list_of_rows1, list_of_rows2)):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=2
         )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+        error_msg = "Results do not match: "
+        percent_diff = (1 / 2) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(list_of_rows1, list_of_rows2)
@@ -1227,7 +1279,7 @@ def test_list_rows_unequal(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -1236,7 +1288,7 @@ def test_list_rows_unequal(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
     def test_list_row_unequal_schema(self):
@@ -1244,28 +1296,77 @@ def test_list_row_unequal_schema(self):
             data=[
                 (1, 3000),
                 (2, 1000),
+                (3, 10),
             ],
             schema=["id", "amount"],
         )
 
-        list_of_rows = [Row(1, "3000"), Row(2, "1000")]
+        list_of_rows = [Row(id=1, amount=300), Row(id=2, amount=100), Row(id=3, amount=10)]
 
-        expected_error_message = "Results do not match: "
-        percent_diff = (2 / 2) * 100
-        expected_error_message += "( %.5f %% )" % percent_diff
+        rows_str1 = ""
+        rows_str2 = ""
 
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[0]).splitlines(), str(list_of_rows[0]).splitlines()
+        # count different rows
+        for r1, r2 in list(zip_longest(df1, list_of_rows)):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=3
+        )
+
+        error_msg = "Results do not match: "
+        percent_diff = (2 / 3) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, list_of_rows)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_ROWS",
+            message_parameters={"error_msg": error_msg},
         )
-        diff_msg = "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
-        generated_diff = difflib.ndiff(
-            str(df1.collect()[1]).splitlines(), str(list_of_rows[1]).splitlines()
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, list_of_rows, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_ROWS",
+            message_parameters={"error_msg": error_msg},
         )
-        diff_msg += "\n" + "\n".join(generated_diff) + "\n"
-        diff_msg += "********************" + "\n"
 
-        expected_error_message += "\n" + "--- actual\n+++ expected\n" + diff_msg
+    def test_list_row_unequal_schema(self):
+        from pyspark.sql import Row
+
+        df1 = self.spark.createDataFrame(
+            data=[
+                (1, 3000),
+                (2, 1000),
+            ],
+            schema=["id", "amount"],
+        )
+
+        list_of_rows = [Row(1, "3000"), Row(2, "1000")]
+
+        rows_str1 = ""
+        rows_str2 = ""
+
+        # count different rows
+        for r1, r2 in list(zip_longest(df1.collect(), list_of_rows)):
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=2
+        )
+
+        error_msg = "Results do not match: "
+        percent_diff = (2 / 2) * 100
+        error_msg += "( %.5f %% )" % percent_diff
+        error_msg += "\n" + "\n".join(generated_diff)
 
         with self.assertRaises(PySparkAssertionError) as pe:
             assertDataFrameEqual(df1, list_of_rows)
@@ -1273,7 +1374,7 @@ def test_list_row_unequal_schema(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
         with self.assertRaises(PySparkAssertionError) as pe:
@@ -1282,7 +1383,7 @@ def test_list_row_unequal_schema(self):
         self.check_error(
             exception=pe.exception,
             error_class="DIFFERENT_ROWS",
-            message_parameters={"error_msg": expected_error_message},
+            message_parameters={"error_msg": error_msg},
         )
 
 
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index eb55255863dc6..2a23476112fee 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -29,6 +29,7 @@
     Dict,
     List,
     Tuple,
+    Iterator,
 )
 from itertools import zip_longest
 
@@ -190,6 +191,49 @@ def search_jar(project_relative_path, sbt_jar_name_prefix, mvn_jar_name_prefix):
         return jars[0]
 
 
+def _terminal_color_support():
+    try:
+        # determine if environment supports color
+        script = "$(test $(tput colors)) && $(test $(tput colors) -ge 8) && echo true || echo false"
+        return os.popen(script).read()
+    except Exception:
+        return False
+
+
+def _context_diff(actual: List[str], expected: List[str], n: int = 3):
+    """
+    Modified from difflib context_diff API,
+    see original code here: https://github.com/python/cpython/blob/main/Lib/difflib.py#L1180
+    """
+
+    def red(s: str) -> str:
+        red_color = "\033[31m"
+        no_color = "\033[0m"
+        return red_color + str(s) + no_color
+
+    prefix = dict(insert="+ ", delete="- ", replace="! ", equal="  ")
+    for group in difflib.SequenceMatcher(None, actual, expected).get_grouped_opcodes(n):
+        yield "*** actual ***"
+        if any(tag in {"replace", "delete"} for tag, _, _, _, _ in group):
+            for tag, i1, i2, _, _ in group:
+                for line in actual[i1:i2]:
+                    if tag != "equal" and _terminal_color_support():
+                        yield red(prefix[tag] + str(line))
+                    else:
+                        yield prefix[tag] + str(line)
+
+        yield "\n"
+
+        yield "*** expected ***"
+        if any(tag in {"replace", "insert"} for tag, _, _, _, _ in group):
+            for tag, _, _, j1, j2 in group:
+                for line in expected[j1:j2]:
+                    if tag != "equal" and _terminal_color_support():
+                        yield red(prefix[tag] + str(line))
+                    else:
+                        yield prefix[tag] + str(line)
+
+
 class PySparkErrorTestUtils:
     """
     This util provide functions to accurate and consistent error testing
@@ -303,6 +347,7 @@ def compare_datatypes_ignore_nullable(dt1: Any, dt2: Any):
         else:
             return False
 
+    # ignore nullable flag by default
     if not compare_schemas_ignore_nullable(actual, expected):
         generated_diff = difflib.ndiff(str(actual).splitlines(), str(expected).splitlines())
 
@@ -492,23 +537,29 @@ def compare_vals(val1, val2):
 
     def assert_rows_equal(rows1: List[Row], rows2: List[Row]):
         zipped = list(zip_longest(rows1, rows2))
-        rows_equal = True
-        error_msg = "Results do not match: "
-        diff_msg = ""
         diff_rows_cnt = 0
+        diff_rows = False
 
+        rows_str1 = ""
+        rows_str2 = ""
+
+        # count different rows
         for r1, r2 in zipped:
+            rows_str1 += str(r1) + "\n"
+            rows_str2 += str(r2) + "\n"
             if not compare_rows(r1, r2):
-                rows_equal = False
                 diff_rows_cnt += 1
-                generated_diff = difflib.ndiff(str(r1).splitlines(), str(r2).splitlines())
-                diff_msg += "\n" + "\n".join(generated_diff) + "\n"
-                diff_msg += "********************" + "\n"
+                diff_rows = True
+
+        generated_diff = _context_diff(
+            actual=rows_str1.splitlines(), expected=rows_str2.splitlines(), n=len(zipped)
+        )
 
-        if not rows_equal:
+        if diff_rows:
+            error_msg = "Results do not match: "
             percent_diff = (diff_rows_cnt / len(zipped)) * 100
             error_msg += "( %.5f %% )" % percent_diff
-            error_msg += "\n" + "--- actual\n+++ expected\n" + diff_msg
+            error_msg += "\n" + "\n".join(generated_diff)
             raise PySparkAssertionError(
                 error_class="DIFFERENT_ROWS",
                 message_parameters={"error_msg": error_msg},

From 808fd88bf4fb96d3277641897f2a8fffdeb77f73 Mon Sep 17 00:00:00 2001
From: bogao007 <bo.gao@databricks.com>
Date: Wed, 2 Aug 2023 09:02:25 +0900
Subject: [PATCH 127/986] [SPARK-42941][SS][CONNECT][3.5] Python
 StreamingQueryListener
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Implement the python streaming query listener and the addListener method and removeListener method, follow up filed in: [SPARK-44516](https://issues.apache.org/jira/browse/SPARK-44516) to actually terminate the query listener process when removeListener is called. [SPARK-44516](https://issues.apache.org/jira/browse/SPARK-44516) depends on [SPARK-44433](https://issues.apache.org/jira/browse/SPARK-44433).

### Why are the changes needed?

SS Connect development

### Does this PR introduce _any_ user-facing change?

Yes now they can use connect listener

### How was this patch tested?

Manual test and added unit test

**addListener:**
```
# Client side:
>>> from pyspark.sql.streaming.listener import StreamingQueryListener;from pyspark.sql.streaming.listener import (QueryStartedEvent, QueryProgressEvent, QueryTerminatedEvent, QueryIdleEvent)
>>> class MyListener(StreamingQueryListener):
...     def onQueryStarted(self, event: QueryStartedEvent) -> None: print("hi, event query id is: " +  str(event.id)); df=self.spark.createDataFrame(["10","11","13"], "string").toDF("age"); df.write.saveAsTable("tbllistener1")
...     def onQueryProgress(self, event: QueryProgressEvent) -> None: pass
...     def onQueryIdle(self, event: QueryIdleEvent) -> None: pass
...     def onQueryTerminated(self, event: QueryTerminatedEvent) -> None: pass
...
>>> spark.streams.addListener(MyListener())
>>> q = spark.readStream.format("rate").load().writeStream.format("console").start()
>>> q.stop()
>>> spark.read.table("tbllistener1").collect()
[Row(age='13'), Row(age='10'), Row(age='11’)]

# Server side:
##### event_type received from python process is 0
hi, event query id is: dd7ba1c4-6c8f-4369-9c3c-5dede22b8a2f
```

**removeListener:**

```
# Client side:
>>> listener = MyListener(); spark.streams.addListener(listener)
>>> spark.streams.removeListener(listener)

# Server side:
# nothing to print actually, the listener is removed from server side StreamingQueryManager and cache in sessionHolder, but the process still hangs there. Follow up SPARK-44516 filed to stop this process
```

Closes #42250 from bogao007/3.5-branch-sync.

Lead-authored-by: bogao007 <bo.gao@databricks.com>
Co-authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/streaming/StreamingQueryManager.scala |   6 +-
 .../streaming/ClientStreamingQuerySuite.scala |   2 +-
 .../protobuf/spark/connect/commands.proto     |   2 +
 .../connect/planner/SparkConnectPlanner.scala |  30 ++-
 .../planner/StreamingForeachBatchHelper.scala |   9 +-
 .../StreamingQueryListenerHelper.scala        |  69 ++++++
 .../api/python/PythonWorkerFactory.scala      |   6 +-
 .../api/python/StreamingPythonRunner.scala    |   5 +-
 dev/sparktestsupport/modules.py               |   1 +
 .../pyspark/sql/connect/proto/commands_pb2.py |  44 ++--
 .../sql/connect/proto/commands_pb2.pyi        |  37 ++-
 python/pyspark/sql/connect/streaming/query.py |  31 ++-
 .../sql/connect/streaming/worker/__init__.py  |  18 ++
 .../streaming/worker/foreachBatch_worker.py}  |  18 +-
 .../streaming/worker/listener_worker.py       |  95 ++++++++
 python/pyspark/sql/streaming/listener.py      |  29 ++-
 python/pyspark/sql/streaming/query.py         |  12 +
 .../connect/streaming/test_parity_listener.py |  90 +++++++
 .../streaming/test_streaming_listener.py      | 228 +++++++++---------
 python/setup.py                               |   1 +
 20 files changed, 544 insertions(+), 189 deletions(-)
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
 create mode 100644 python/pyspark/sql/connect/streaming/worker/__init__.py
 rename python/pyspark/{streaming_worker.py => sql/connect/streaming/worker/foreachBatch_worker.py} (86%)
 create mode 100644 python/pyspark/sql/connect/streaming/worker/listener_worker.py
 create mode 100644 python/pyspark/sql/tests/connect/streaming/test_parity_listener.py

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
index 917444604405c..d16638e594599 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
@@ -156,7 +156,8 @@ class StreamingQueryManager private[sql] (sparkSession: SparkSession) extends Lo
     executeManagerCmd(
       _.getAddListenerBuilder
         .setListenerPayload(ByteString.copyFrom(SparkSerDeUtils
-          .serialize(StreamingListenerPacket(id, listener)))))
+          .serialize(StreamingListenerPacket(id, listener))))
+        .setId(id))
   }
 
   /**
@@ -168,8 +169,7 @@ class StreamingQueryManager private[sql] (sparkSession: SparkSession) extends Lo
     val id = getIdByListener(listener)
     executeManagerCmd(
       _.getRemoveListenerBuilder
-        .setListenerPayload(ByteString.copyFrom(SparkSerDeUtils
-          .serialize(StreamingListenerPacket(id, listener)))))
+        .setId(id))
     removeCachedListener(id)
   }
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
index bc778f02480bd..f9e6e6864953f 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
@@ -294,7 +294,7 @@ class ClientStreamingQuerySuite extends QueryTest with SQLHelper with Logging {
       spark.sql("DROP TABLE IF EXISTS my_listener_table")
     }
 
-    // List listeners after adding a new listener, length should be 2.
+    // List listeners after adding a new listener, length should be 1.
     val listeners = spark.streams.listListeners()
     assert(listeners.length == 1)
 
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/commands.proto b/connector/connect/common/src/main/protobuf/spark/connect/commands.proto
index 4c4233124d8a3..49b25f099bf2e 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/commands.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/commands.proto
@@ -365,6 +365,8 @@ message StreamingQueryManagerCommand {
 
   message StreamingQueryListenerCommand {
     bytes listener_payload = 1;
+    optional PythonUDF python_listener_payload = 2;
+    string id = 3;
   }
 }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 61e5d9de9142a..f9a1e44516e88 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -2831,7 +2831,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
           StreamingForeachBatchHelper.scalaForeachBatchWrapper(scalaFn, sessionHolder)
 
         case StreamingForeachFunction.FunctionCase.FUNCTION_NOT_SET =>
-          throw InvalidPlanInput("Unexpected") // Unreachable
+          throw InvalidPlanInput("Unexpected foreachBatch function") // Unreachable
       }
 
       writer.foreachBatch(foreachBatchFn)
@@ -3074,23 +3074,27 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         respBuilder.setResetTerminated(true)
 
       case StreamingQueryManagerCommand.CommandCase.ADD_LISTENER =>
-        val listenerPacket = Utils
-          .deserialize[StreamingListenerPacket](
-            command.getAddListener.getListenerPayload.toByteArray,
-            Utils.getContextOrSparkClassLoader)
-        val listener: StreamingQueryListener = listenerPacket.listener
-          .asInstanceOf[StreamingQueryListener]
-        val id: String = listenerPacket.id
+        val listener = if (command.getAddListener.hasPythonListenerPayload) {
+          new PythonStreamingQueryListener(
+            transformPythonFunction(command.getAddListener.getPythonListenerPayload),
+            sessionHolder,
+            pythonExec)
+        } else {
+          val listenerPacket = Utils
+            .deserialize[StreamingListenerPacket](
+              command.getAddListener.getListenerPayload.toByteArray,
+              Utils.getContextOrSparkClassLoader)
+
+          listenerPacket.listener.asInstanceOf[StreamingQueryListener]
+        }
+
+        val id = command.getAddListener.getId
         sessionHolder.cacheListenerById(id, listener)
         session.streams.addListener(listener)
         respBuilder.setAddListener(true)
 
       case StreamingQueryManagerCommand.CommandCase.REMOVE_LISTENER =>
-        val listenerId = Utils
-          .deserialize[StreamingListenerPacket](
-            command.getRemoveListener.getListenerPayload.toByteArray,
-            Utils.getContextOrSparkClassLoader)
-          .id
+        val listenerId = command.getRemoveListener.getId
         val listener: StreamingQueryListener = sessionHolder.getListenerOrThrow(listenerId)
         session.streams.removeListener(listener)
         sessionHolder.removeCachedListener(listenerId)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 9770ac4cee5f5..3b9ae483cf1b4 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -18,9 +18,7 @@ package org.apache.spark.sql.connect.planner
 
 import java.util.UUID
 
-import org.apache.spark.api.python.PythonRDD
-import org.apache.spark.api.python.SimplePythonFunction
-import org.apache.spark.api.python.StreamingPythonRunner
+import org.apache.spark.api.python.{PythonRDD, SimplePythonFunction, StreamingPythonRunner}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.connect.service.SessionHolder
@@ -90,7 +88,10 @@ object StreamingForeachBatchHelper extends Logging {
     val port = SparkConnectService.localPort
     val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
     val runner = StreamingPythonRunner(pythonFn, connectUrl)
-    val (dataOut, dataIn) = runner.init(sessionHolder.sessionId)
+    val (dataOut, dataIn) =
+      runner.init(
+        sessionHolder.sessionId,
+        "pyspark.sql.connect.streaming.worker.foreachBatch_worker")
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
new file mode 100644
index 0000000000000..d915bc9349609
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.planner
+
+import org.apache.spark.api.python.{PythonRDD, SimplePythonFunction, StreamingPythonRunner}
+import org.apache.spark.sql.connect.service.{SessionHolder, SparkConnectService}
+import org.apache.spark.sql.streaming.StreamingQueryListener
+
+/**
+ * A helper class for handling StreamingQueryListener related functionality in Spark Connect. Each
+ * instance of this class starts a python process, inside which has the python handling logic.
+ * When new a event is received, it is serialized to json, and passed to the python process.
+ */
+class PythonStreamingQueryListener(
+    listener: SimplePythonFunction,
+    sessionHolder: SessionHolder,
+    pythonExec: String)
+    extends StreamingQueryListener {
+
+  val port = SparkConnectService.localPort
+  val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
+  val runner = StreamingPythonRunner(listener, connectUrl)
+
+  val (dataOut, _) =
+    runner.init(sessionHolder.sessionId, "pyspark.sql.connect.streaming.worker.listener_worker")
+
+  override def onQueryStarted(event: StreamingQueryListener.QueryStartedEvent): Unit = {
+    PythonRDD.writeUTF(event.json, dataOut)
+    dataOut.writeInt(0)
+    dataOut.flush()
+  }
+
+  override def onQueryProgress(event: StreamingQueryListener.QueryProgressEvent): Unit = {
+    PythonRDD.writeUTF(event.json, dataOut)
+    dataOut.writeInt(1)
+    dataOut.flush()
+  }
+
+  override def onQueryIdle(event: StreamingQueryListener.QueryIdleEvent): Unit = {
+    PythonRDD.writeUTF(event.json, dataOut)
+    dataOut.writeInt(2)
+    dataOut.flush()
+  }
+
+  override def onQueryTerminated(event: StreamingQueryListener.QueryTerminatedEvent): Unit = {
+    PythonRDD.writeUTF(event.json, dataOut)
+    dataOut.writeInt(3)
+    dataOut.flush()
+  }
+
+  // TODO(SPARK-44433)(SPARK-44516): Improve termination of Processes.
+  // Similar to foreachBatch when we need to exit the process when the query ends.
+  // In listener semantics, we need to exit the process when removeListener is called.
+}
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
index 6039f8d232b4c..d5d97b74d11fb 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
@@ -110,9 +110,9 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
     }
   }
 
-  /** Creates a Python worker with `pyspark.streaming_worker` module. */
-  def createStreamingWorker(): (Socket, Option[Int]) = {
-    createSimpleWorker("pyspark.streaming_worker")
+  /** Creates a Python worker with streaming worker module. */
+  def createStreamingWorker(streamingWorkerModule: String): (Socket, Option[Int]) = {
+    createSimpleWorker(streamingWorkerModule)
   }
 
   /**
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index faf462a1990d0..c02871ee14510 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -48,9 +48,8 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
    * Initializes the Python worker for streaming functions. Sets up Spark Connect session
    * to be used with the functions.
    */
-  def init(sessionId: String): (DataOutputStream, DataInputStream) = {
+  def init(sessionId: String, workerModule: String): (DataOutputStream, DataInputStream) = {
     logInfo(s"Initializing Python runner (session: $sessionId ,pythonExec: $pythonExec")
-
     val env = SparkEnv.get
 
     val localdir = env.blockManager.diskBlockManager.localDirs.map(f => f.getPath()).mkString(",")
@@ -62,7 +61,7 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
     envVars.put("SPARK_CONNECT_LOCAL_URL", connectUrl)
 
     val pythonWorkerFactory = new PythonWorkerFactory(pythonExec, envVars.asScala.toMap)
-    val (worker: Socket, _) = pythonWorkerFactory.createStreamingWorker()
+    val (worker: Socket, _) = pythonWorkerFactory.createStreamingWorker(workerModule)
 
     val stream = new BufferedOutputStream(worker.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 79c3f8f26b1b7..4005c317e6285 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -863,6 +863,7 @@ def __hash__(self):
         "pyspark.sql.tests.connect.client.test_artifact",
         "pyspark.sql.tests.connect.client.test_client",
         "pyspark.sql.tests.connect.streaming.test_parity_streaming",
+        "pyspark.sql.tests.connect.streaming.test_parity_listener",
         "pyspark.sql.tests.connect.streaming.test_parity_foreach",
         "pyspark.sql.tests.connect.streaming.test_parity_foreachBatch",
         "pyspark.sql.tests.connect.test_parity_pandas_grouped_map_with_state",
diff --git a/python/pyspark/sql/connect/proto/commands_pb2.py b/python/pyspark/sql/connect/proto/commands_pb2.py
index 6f03d80e66969..90911e382bf1b 100644
--- a/python/pyspark/sql/connect/proto/commands_pb2.py
+++ b/python/pyspark/sql/connect/proto/commands_pb2.py
@@ -35,7 +35,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1cspark/connect/commands.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1aspark/connect/common.proto\x1a\x1fspark/connect/expressions.proto\x1a\x1dspark/connect/relations.proto"\xf5\x07\n\x07\x43ommand\x12]\n\x11register_function\x18\x01 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionH\x00R\x10registerFunction\x12H\n\x0fwrite_operation\x18\x02 \x01(\x0b\x32\x1d.spark.connect.WriteOperationH\x00R\x0ewriteOperation\x12_\n\x15\x63reate_dataframe_view\x18\x03 \x01(\x0b\x32).spark.connect.CreateDataFrameViewCommandH\x00R\x13\x63reateDataframeView\x12O\n\x12write_operation_v2\x18\x04 \x01(\x0b\x32\x1f.spark.connect.WriteOperationV2H\x00R\x10writeOperationV2\x12<\n\x0bsql_command\x18\x05 \x01(\x0b\x32\x19.spark.connect.SqlCommandH\x00R\nsqlCommand\x12k\n\x1cwrite_stream_operation_start\x18\x06 \x01(\x0b\x32(.spark.connect.WriteStreamOperationStartH\x00R\x19writeStreamOperationStart\x12^\n\x17streaming_query_command\x18\x07 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\x01(\tH\x01R\nerrorClass\x88\x01\x01\x12$\n\x0bstack_trace\x18\x03 \x01(\tH\x02R\nstackTrace\x88\x01\x01\x42\x14\n\x12_exception_messageB\x0e\n\x0c_error_classB\x0e\n\x0c_stack_trace\x1a\x38\n\x16\x41waitTerminationResult\x12\x1e\n\nterminated\x18\x01 \x01(\x08R\nterminatedB\r\n\x0bresult_type"\xbd\x06\n\x1cStreamingQueryManagerCommand\x12\x18\n\x06\x61\x63tive\x18\x01 \x01(\x08H\x00R\x06\x61\x63tive\x12\x1d\n\tget_query\x18\x02 \x01(\tH\x00R\x08getQuery\x12|\n\x15\x61wait_any_termination\x18\x03 \x01(\x0b\x32\x46.spark.connect.StreamingQueryManagerCommand.AwaitAnyTerminationCommandH\x00R\x13\x61waitAnyTermination\x12+\n\x10reset_terminated\x18\x04 \x01(\x08H\x00R\x0fresetTerminated\x12n\n\x0c\x61\x64\x64_listener\x18\x05 \x01(\x0b\x32I.spark.connect.StreamingQueryManagerCommand.StreamingQueryListenerCommandH\x00R\x0b\x61\x64\x64Listener\x12t\n\x0fremove_listener\x18\x06 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\x01(\x08R\nterminated\x1aK\n\x1eStreamingQueryListenerInstance\x12)\n\x10listener_payload\x18\x01 \x01(\x0cR\x0flistenerPayload\x1a\x45\n ListStreamingQueryListenerResult\x12!\n\x0clistener_ids\x18\x01 \x03(\tR\x0blistenerIdsB\r\n\x0bresult_type"\x15\n\x13GetResourcesCommand"\xd4\x01\n\x19GetResourcesCommandResult\x12U\n\tresources\x18\x01 \x03(\x0b\x32\x37.spark.connect.GetResourcesCommandResult.ResourcesEntryR\tresources\x1a`\n\x0eResourcesEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x38\n\x05value\x18\x02 \x01(\x0b\x32".spark.connect.ResourceInformationR\x05value:\x02\x38\x01\x42\x36\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3'
 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -115,27 +115,27 @@
     _STREAMINGQUERYCOMMANDRESULT_AWAITTERMINATIONRESULT._serialized_start = 6330
     _STREAMINGQUERYCOMMANDRESULT_AWAITTERMINATIONRESULT._serialized_end = 6386
     _STREAMINGQUERYMANAGERCOMMAND._serialized_start = 6404
-    _STREAMINGQUERYMANAGERCOMMAND._serialized_end = 7101
+    _STREAMINGQUERYMANAGERCOMMAND._serialized_end = 7233
     _STREAMINGQUERYMANAGERCOMMAND_AWAITANYTERMINATIONCOMMAND._serialized_start = 6935
     _STREAMINGQUERYMANAGERCOMMAND_AWAITANYTERMINATIONCOMMAND._serialized_end = 7014
-    _STREAMINGQUERYMANAGERCOMMAND_STREAMINGQUERYLISTENERCOMMAND._serialized_start = 7016
-    _STREAMINGQUERYMANAGERCOMMAND_STREAMINGQUERYLISTENERCOMMAND._serialized_end = 7090
-    _STREAMINGQUERYMANAGERCOMMANDRESULT._serialized_start = 7104
-    _STREAMINGQUERYMANAGERCOMMANDRESULT._serialized_end = 8180
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_ACTIVERESULT._serialized_start = 7712
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_ACTIVERESULT._serialized_end = 7839
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYINSTANCE._serialized_start = 7841
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYINSTANCE._serialized_end = 7956
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_AWAITANYTERMINATIONRESULT._serialized_start = 7958
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_AWAITANYTERMINATIONRESULT._serialized_end = 8017
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYLISTENERINSTANCE._serialized_start = 8019
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYLISTENERINSTANCE._serialized_end = 8094
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_LISTSTREAMINGQUERYLISTENERRESULT._serialized_start = 8096
-    _STREAMINGQUERYMANAGERCOMMANDRESULT_LISTSTREAMINGQUERYLISTENERRESULT._serialized_end = 8165
-    _GETRESOURCESCOMMAND._serialized_start = 8182
-    _GETRESOURCESCOMMAND._serialized_end = 8203
-    _GETRESOURCESCOMMANDRESULT._serialized_start = 8206
-    _GETRESOURCESCOMMANDRESULT._serialized_end = 8418
-    _GETRESOURCESCOMMANDRESULT_RESOURCESENTRY._serialized_start = 8322
-    _GETRESOURCESCOMMANDRESULT_RESOURCESENTRY._serialized_end = 8418
+    _STREAMINGQUERYMANAGERCOMMAND_STREAMINGQUERYLISTENERCOMMAND._serialized_start = 7017
+    _STREAMINGQUERYMANAGERCOMMAND_STREAMINGQUERYLISTENERCOMMAND._serialized_end = 7222
+    _STREAMINGQUERYMANAGERCOMMANDRESULT._serialized_start = 7236
+    _STREAMINGQUERYMANAGERCOMMANDRESULT._serialized_end = 8312
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_ACTIVERESULT._serialized_start = 7844
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_ACTIVERESULT._serialized_end = 7971
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYINSTANCE._serialized_start = 7973
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYINSTANCE._serialized_end = 8088
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_AWAITANYTERMINATIONRESULT._serialized_start = 8090
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_AWAITANYTERMINATIONRESULT._serialized_end = 8149
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYLISTENERINSTANCE._serialized_start = 8151
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_STREAMINGQUERYLISTENERINSTANCE._serialized_end = 8226
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_LISTSTREAMINGQUERYLISTENERRESULT._serialized_start = 8228
+    _STREAMINGQUERYMANAGERCOMMANDRESULT_LISTSTREAMINGQUERYLISTENERRESULT._serialized_end = 8297
+    _GETRESOURCESCOMMAND._serialized_start = 8314
+    _GETRESOURCESCOMMAND._serialized_end = 8335
+    _GETRESOURCESCOMMANDRESULT._serialized_start = 8338
+    _GETRESOURCESCOMMANDRESULT._serialized_end = 8550
+    _GETRESOURCESCOMMANDRESULT_RESOURCESENTRY._serialized_start = 8454
+    _GETRESOURCESCOMMANDRESULT_RESOURCESENTRY._serialized_end = 8550
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/commands_pb2.pyi b/python/pyspark/sql/connect/proto/commands_pb2.pyi
index be423ea036e99..f3dca7ab4bb7c 100644
--- a/python/pyspark/sql/connect/proto/commands_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/commands_pb2.pyi
@@ -1372,15 +1372,50 @@ class StreamingQueryManagerCommand(google.protobuf.message.Message):
         DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
         LISTENER_PAYLOAD_FIELD_NUMBER: builtins.int
+        PYTHON_LISTENER_PAYLOAD_FIELD_NUMBER: builtins.int
+        ID_FIELD_NUMBER: builtins.int
         listener_payload: builtins.bytes
+        @property
+        def python_listener_payload(
+            self,
+        ) -> pyspark.sql.connect.proto.expressions_pb2.PythonUDF: ...
+        id: builtins.str
         def __init__(
             self,
             *,
             listener_payload: builtins.bytes = ...,
+            python_listener_payload: pyspark.sql.connect.proto.expressions_pb2.PythonUDF
+            | None = ...,
+            id: builtins.str = ...,
         ) -> None: ...
+        def HasField(
+            self,
+            field_name: typing_extensions.Literal[
+                "_python_listener_payload",
+                b"_python_listener_payload",
+                "python_listener_payload",
+                b"python_listener_payload",
+            ],
+        ) -> builtins.bool: ...
         def ClearField(
-            self, field_name: typing_extensions.Literal["listener_payload", b"listener_payload"]
+            self,
+            field_name: typing_extensions.Literal[
+                "_python_listener_payload",
+                b"_python_listener_payload",
+                "id",
+                b"id",
+                "listener_payload",
+                b"listener_payload",
+                "python_listener_payload",
+                b"python_listener_payload",
+            ],
         ) -> None: ...
+        def WhichOneof(
+            self,
+            oneof_group: typing_extensions.Literal[
+                "_python_listener_payload", b"_python_listener_payload"
+            ],
+        ) -> typing_extensions.Literal["python_listener_payload"] | None: ...
 
     ACTIVE_FIELD_NUMBER: builtins.int
     GET_QUERY_FIELD_NUMBER: builtins.int
diff --git a/python/pyspark/sql/connect/streaming/query.py b/python/pyspark/sql/connect/streaming/query.py
index e5aa881c99060..59e98e7bc30f3 100644
--- a/python/pyspark/sql/connect/streaming/query.py
+++ b/python/pyspark/sql/connect/streaming/query.py
@@ -21,6 +21,9 @@
 
 from pyspark.errors import StreamingQueryException, PySparkValueError
 import pyspark.sql.connect.proto as pb2
+from pyspark.serializers import CloudPickleSerializer
+from pyspark.sql.connect import proto
+from pyspark.sql.streaming import StreamingQueryListener
 from pyspark.sql.streaming.query import (
     StreamingQuery as PySparkStreamingQuery,
     StreamingQueryManager as PySparkStreamingQueryManager,
@@ -226,25 +229,27 @@ def resetTerminated(self) -> None:
         cmd = pb2.StreamingQueryManagerCommand()
         cmd.reset_terminated = True
         self._execute_streaming_query_manager_cmd(cmd)
-        return None
 
     resetTerminated.__doc__ = PySparkStreamingQueryManager.resetTerminated.__doc__
 
-    def addListener(self, listener: Any) -> None:
-        # TODO(SPARK-42941): Change listener type to Connect StreamingQueryListener
-        # and implement below
-        raise NotImplementedError("addListener() is not implemented.")
+    def addListener(self, listener: StreamingQueryListener) -> None:
+        listener._init_listener_id()
+        cmd = pb2.StreamingQueryManagerCommand()
+        expr = proto.PythonUDF()
+        expr.command = CloudPickleSerializer().dumps(listener)
+        expr.python_ver = "%d.%d" % sys.version_info[:2]
+        cmd.add_listener.python_listener_payload.CopyFrom(expr)
+        cmd.add_listener.id = listener._id
+        self._execute_streaming_query_manager_cmd(cmd)
 
-    # TODO(SPARK-42941): uncomment below
-    # addListener.__doc__ = PySparkStreamingQueryManager.addListener.__doc__
+    addListener.__doc__ = PySparkStreamingQueryManager.addListener.__doc__
 
-    def removeListener(self, listener: Any) -> None:
-        # TODO(SPARK-42941): Change listener type to Connect StreamingQueryListener
-        # and implement below
-        raise NotImplementedError("removeListener() is not implemented.")
+    def removeListener(self, listener: StreamingQueryListener) -> None:
+        cmd = pb2.StreamingQueryManagerCommand()
+        cmd.remove_listener.id = listener._id
+        self._execute_streaming_query_manager_cmd(cmd)
 
-    # TODO(SPARK-42941): uncomment below
-    # removeListener.__doc__ = PySparkStreamingQueryManager.removeListener.__doc__
+    removeListener.__doc__ = PySparkStreamingQueryManager.removeListener.__doc__
 
     def _execute_streaming_query_manager_cmd(
         self, cmd: pb2.StreamingQueryManagerCommand
diff --git a/python/pyspark/sql/connect/streaming/worker/__init__.py b/python/pyspark/sql/connect/streaming/worker/__init__.py
new file mode 100644
index 0000000000000..a5c9801989192
--- /dev/null
+++ b/python/pyspark/sql/connect/streaming/worker/__init__.py
@@ -0,0 +1,18 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Spark Connect Streaming Server-side Worker"""
diff --git a/python/pyspark/streaming_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
similarity index 86%
rename from python/pyspark/streaming_worker.py
rename to python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index a818880a9849e..054788539f293 100644
--- a/python/pyspark/streaming_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -16,7 +16,8 @@
 #
 
 """
-A worker for streaming foreachBatch and query listener in Spark Connect.
+A worker for streaming foreachBatch in Spark Connect.
+Usually this is ran on the driver side of the Spark Connect Server.
 """
 import os
 
@@ -29,20 +30,23 @@
 )
 from pyspark import worker
 from pyspark.sql import SparkSession
+from typing import IO
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
-def main(infile, outfile):  # type: ignore[no-untyped-def]
-    log_name = "Streaming ForeachBatch worker"
+def main(infile: IO, outfile: IO) -> None:
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 
-    print(f"{log_name} is starting with url {connect_url} and sessionId {session_id}.")
+    print(
+        "Streaming foreachBatch worker is starting with "
+        f"url {connect_url} and sessionId {session_id}."
+    )
 
     spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
-    spark_connect_session._client._session_id = session_id
+    spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
 
     # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
@@ -52,6 +56,8 @@ def main(infile, outfile):  # type: ignore[no-untyped-def]
 
     outfile.flush()
 
+    log_name = "Streaming ForeachBatch worker"
+
     def process(df_id, batch_id):  # type: ignore[no-untyped-def]
         print(f"{log_name} Started batch {batch_id} with DF id {df_id}")
         batch_df = spark_connect_session._create_remote_dataframe(df_id)
@@ -67,8 +73,6 @@ def process(df_id, batch_id):  # type: ignore[no-untyped-def]
 
 
 if __name__ == "__main__":
-    print("Starting streaming worker")
-
     # Read information about how to connect back to the JVM from the environment.
     java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"])
     auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"]
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
new file mode 100644
index 0000000000000..8eb310461b6f6
--- /dev/null
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -0,0 +1,95 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+A worker for streaming query listener in Spark Connect.
+Usually this is ran on the driver side of the Spark Connect Server.
+"""
+import os
+import json
+
+from pyspark.java_gateway import local_connect_and_auth
+from pyspark.serializers import (
+    read_int,
+    write_int,
+    UTF8Deserializer,
+    CPickleSerializer,
+)
+from pyspark import worker
+from pyspark.sql import SparkSession
+from typing import IO
+
+from pyspark.sql.streaming.listener import (
+    QueryStartedEvent,
+    QueryProgressEvent,
+    QueryTerminatedEvent,
+    QueryIdleEvent,
+)
+
+pickle_ser = CPickleSerializer()
+utf8_deserializer = UTF8Deserializer()
+
+
+def main(infile: IO, outfile: IO) -> None:
+    connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
+    session_id = utf8_deserializer.loads(infile)
+
+    print(
+        "Streaming query listener worker is starting with "
+        f"url {connect_url} and sessionId {session_id}."
+    )
+
+    spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
+    spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
+
+    # TODO(SPARK-44460): Pass credentials.
+    # TODO(SPARK-44461): Enable Process Isolation
+
+    listener = worker.read_command(pickle_ser, infile)
+    write_int(0, outfile)  # Indicate successful initialization
+
+    outfile.flush()
+
+    listener._set_spark_session(spark_connect_session)
+    assert listener.spark == spark_connect_session
+
+    def process(listener_event_str, listener_event_type):  # type: ignore[no-untyped-def]
+        listener_event = json.loads(listener_event_str)
+        if listener_event_type == 0:
+            listener.onQueryStarted(QueryStartedEvent.fromJson(listener_event))
+        elif listener_event_type == 1:
+            listener.onQueryProgress(QueryProgressEvent.fromJson(listener_event))
+        elif listener_event_type == 2:
+            listener.onQueryIdle(QueryIdleEvent.fromJson(listener_event))
+        elif listener_event_type == 3:
+            listener.onQueryTerminated(QueryTerminatedEvent.fromJson(listener_event))
+
+    while True:
+        event = utf8_deserializer.loads(infile)
+        event_type = read_int(infile)
+        process(event, int(event_type))  # TODO(SPARK-44463): Propagate error to the user.
+        outfile.flush()
+
+
+if __name__ == "__main__":
+    # Read information about how to connect back to the JVM from the environment.
+    java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"])
+    auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"]
+    (sock_file, _) = local_connect_and_auth(java_port, auth_secret)
+    write_int(os.getpid(), sock_file)
+    sock_file.flush()
+    main(sock_file, sock_file)
diff --git a/python/pyspark/sql/streaming/listener.py b/python/pyspark/sql/streaming/listener.py
index 198af0c9cbeb5..225ad6d45afb1 100644
--- a/python/pyspark/sql/streaming/listener.py
+++ b/python/pyspark/sql/streaming/listener.py
@@ -62,6 +62,21 @@ class StreamingQueryListener(ABC):
     >>> spark.streams.addListener(MyListener())
     """
 
+    def _set_spark_session(
+        self, spark: "SparkSession"  # type: ignore[name-defined] # noqa: F821
+    ) -> None:
+        self._sparkSession = spark
+
+    @property
+    def spark(self) -> Optional["SparkSession"]:  # type: ignore[name-defined] # noqa: F821
+        if hasattr(self, "_sparkSession"):
+            return self._sparkSession
+        else:
+            return None
+
+    def _init_listener_id(self) -> None:
+        self._id = str(uuid.uuid4())
+
     @abstractmethod
     def onQueryStarted(self, event: "QueryStartedEvent") -> None:
         """
@@ -463,8 +478,8 @@ def fromJson(cls, j: Dict[str, Any]) -> "StreamingQueryProgress":
             timestamp=j["timestamp"],
             batchId=j["batchId"],
             batchDuration=j["batchDuration"],
-            durationMs=dict(j["durationMs"]),
-            eventTime=dict(j["eventTime"]),
+            durationMs=dict(j["durationMs"]) if "durationMs" in j else {},
+            eventTime=dict(j["eventTime"]) if "eventTime" in j else {},
             stateOperators=[StateOperatorProgress.fromJson(s) for s in j["stateOperators"]],
             sources=[SourceProgress.fromJson(s) for s in j["sources"]],
             sink=SinkProgress.fromJson(j["sink"]),
@@ -474,7 +489,9 @@ def fromJson(cls, j: Dict[str, Any]) -> "StreamingQueryProgress":
             observedMetrics={
                 k: Row(*row_dict.keys())(*row_dict.values())  # Assume no nested rows
                 for k, row_dict in j["observedMetrics"].items()
-            },
+            }
+            if "observedMetrics" in j
+            else {},
         )
 
     @property
@@ -696,7 +713,7 @@ def fromJson(cls, j: Dict[str, Any]) -> "StateOperatorProgress":
             numRowsDroppedByWatermark=j["numRowsDroppedByWatermark"],
             numShufflePartitions=j["numShufflePartitions"],
             numStateStoreInstances=j["numStateStoreInstances"],
-            customMetrics=dict(j["customMetrics"]),
+            customMetrics=dict(j["customMetrics"]) if "customMetrics" in j else {},
         )
 
     @property
@@ -831,7 +848,7 @@ def fromJson(cls, j: Dict[str, Any]) -> "SourceProgress":
             numInputRows=j["numInputRows"],
             inputRowsPerSecond=j["inputRowsPerSecond"],
             processedRowsPerSecond=j["processedRowsPerSecond"],
-            metrics=dict(j["metrics"]),
+            metrics=dict(j["metrics"]) if "metrics" in j else {},
         )
 
     @property
@@ -951,7 +968,7 @@ def fromJson(cls, j: Dict[str, Any]) -> "SinkProgress":
             jdict=j,
             description=j["description"],
             numOutputRows=j["numOutputRows"],
-            metrics=j["metrics"],
+            metrics=dict(j["metrics"]) if "metrics" in j else {},
         )
 
     @property
diff --git a/python/pyspark/sql/streaming/query.py b/python/pyspark/sql/streaming/query.py
index 443e7dbee39b7..db104e30755a6 100644
--- a/python/pyspark/sql/streaming/query.py
+++ b/python/pyspark/sql/streaming/query.py
@@ -618,12 +618,24 @@ def addListener(self, listener: StreamingQueryListener) -> None:
 
         .. versionadded:: 3.4.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         listener : :class:`StreamingQueryListener`
             A :class:`StreamingQueryListener` to receive up-calls for life cycle events of
             :class:`~pyspark.sql.streaming.StreamingQuery`.
 
+        Notes
+        -----
+        This function behaves differently in Spark Connect mode.
+        In Connect, the provided functions doesn't have access to variables defined outside of it.
+        Also in Connect, you need to use `self.spark` to access spark session.
+        Using `spark` would throw an exception.
+        In short, if you want to use spark session inside the listener,
+        please use `self.spark` in Connect mode, and use `spark` otherwise.
+
         Examples
         --------
         >>> from pyspark.sql.streaming import StreamingQueryListener
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
new file mode 100644
index 0000000000000..547462d4da6d5
--- /dev/null
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -0,0 +1,90 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import unittest
+import time
+
+from pyspark.sql.tests.streaming.test_streaming_listener import StreamingListenerTestsMixin
+from pyspark.sql.streaming.listener import StreamingQueryListener, QueryStartedEvent
+from pyspark.sql.types import StructType, StructField, StringType
+from pyspark.testing.connectutils import ReusedConnectTestCase
+
+
+def get_start_event_schema():
+    return StructType(
+        [
+            StructField("id", StringType(), True),
+            StructField("runId", StringType(), True),
+            StructField("name", StringType(), True),
+            StructField("timestamp", StringType(), True),
+        ]
+    )
+
+
+class TestListener(StreamingQueryListener):
+    def onQueryStarted(self, event):
+        df = self.spark.createDataFrame(
+            data=[(str(event.id), str(event.runId), event.name, event.timestamp)],
+            schema=get_start_event_schema(),
+        )
+        df.write.saveAsTable("listener_start_events")
+
+    def onQueryProgress(self, event):
+        pass
+
+    def onQueryIdle(self, event):
+        pass
+
+    def onQueryTerminated(self, event):
+        pass
+
+
+class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
+    def test_listener_events(self):
+        test_listener = TestListener()
+
+        try:
+            self.spark.streams.addListener(test_listener)
+
+            df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
+            q = df.writeStream.format("noop").queryName("test").start()
+
+            self.assertTrue(q.isActive)
+            time.sleep(10)
+            q.stop()
+
+            start_event = QueryStartedEvent.fromJson(
+                self.spark.read.table("listener_start_events").collect()[0].asDict()
+            )
+
+            self.check_start_event(start_event)
+
+        finally:
+            self.spark.streams.removeListener(test_listener)
+
+
+if __name__ == "__main__":
+    import unittest
+    from pyspark.sql.tests.connect.streaming.test_parity_listener import *  # noqa: F401
+
+    try:
+        import xmlrunner  # type: ignore[import]
+
+        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
+    except ImportError:
+        testRunner = None
+    unittest.main(testRunner=testRunner, verbosity=2)
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_listener.py b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
index 2bd6d2c666837..cbbdc2955e59f 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_listener.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
@@ -33,119 +33,7 @@
 from pyspark.testing.sqlutils import ReusedSQLTestCase
 
 
-class StreamingListenerTests(ReusedSQLTestCase):
-    def test_number_of_public_methods(self):
-        msg = (
-            "New field or method was detected in JVM side. If you added a new public "
-            "field or method, implement that in the corresponding Python class too."
-            "Otherwise, fix the number on the assert here."
-        )
-
-        def get_number_of_public_methods(clz):
-            return len(
-                self.spark.sparkContext._jvm.org.apache.spark.util.Utils.classForName(
-                    clz, True, False
-                ).getMethods()
-            )
-
-        self.assertEquals(
-            get_number_of_public_methods(
-                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryStartedEvent"
-            ),
-            15,
-            msg,
-        )
-        self.assertEquals(
-            get_number_of_public_methods(
-                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryProgressEvent"
-            ),
-            12,
-            msg,
-        )
-        self.assertEquals(
-            get_number_of_public_methods(
-                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryTerminatedEvent"
-            ),
-            15,
-            msg,
-        )
-        self.assertEquals(
-            get_number_of_public_methods("org.apache.spark.sql.streaming.StreamingQueryProgress"),
-            38,
-            msg,
-        )
-        self.assertEquals(
-            get_number_of_public_methods("org.apache.spark.sql.streaming.StateOperatorProgress"),
-            27,
-            msg,
-        )
-        self.assertEquals(
-            get_number_of_public_methods("org.apache.spark.sql.streaming.SourceProgress"), 21, msg
-        )
-        self.assertEquals(
-            get_number_of_public_methods("org.apache.spark.sql.streaming.SinkProgress"), 19, msg
-        )
-
-    def test_listener_events(self):
-        start_event = None
-        progress_event = None
-        terminated_event = None
-
-        class TestListener(StreamingQueryListener):
-            def onQueryStarted(self, event):
-                nonlocal start_event
-                start_event = event
-
-            def onQueryProgress(self, event):
-                nonlocal progress_event
-                progress_event = event
-
-            def onQueryIdle(self, event):
-                pass
-
-            def onQueryTerminated(self, event):
-                nonlocal terminated_event
-                terminated_event = event
-
-        test_listener = TestListener()
-
-        try:
-            self.spark.streams.addListener(test_listener)
-
-            df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
-
-            # check successful stateful query
-            df_stateful = df.groupBy().count()  # make query stateful
-            q = (
-                df_stateful.writeStream.format("noop")
-                .queryName("test")
-                .outputMode("complete")
-                .start()
-            )
-            self.assertTrue(q.isActive)
-            time.sleep(10)
-            q.stop()
-
-            # Make sure all events are empty
-            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
-
-            self.check_start_event(start_event)
-            self.check_progress_event(progress_event)
-            self.check_terminated_event(terminated_event)
-
-            # Check query terminated with exception
-            from pyspark.sql.functions import col, udf
-
-            bad_udf = udf(lambda x: 1 / 0)
-            q = df.select(bad_udf(col("value"))).writeStream.format("noop").start()
-            time.sleep(5)
-            q.stop()
-            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
-            self.check_terminated_event(terminated_event, "ZeroDivisionError")
-
-        finally:
-            self.spark.streams.removeListener(test_listener)
-
+class StreamingListenerTestsMixin:
     def check_start_event(self, event):
         """Check QueryStartedEvent"""
         self.assertTrue(isinstance(event, QueryStartedEvent))
@@ -304,6 +192,120 @@ def check_sink_progress(self, progress):
         self.assertTrue(isinstance(progress.numOutputRows, int))
         self.assertTrue(isinstance(progress.metrics, dict))
 
+
+class StreamingListenerTests(StreamingListenerTestsMixin, ReusedSQLTestCase):
+    def test_number_of_public_methods(self):
+        msg = (
+            "New field or method was detected in JVM side. If you added a new public "
+            "field or method, implement that in the corresponding Python class too."
+            "Otherwise, fix the number on the assert here."
+        )
+
+        def get_number_of_public_methods(clz):
+            return len(
+                self.spark.sparkContext._jvm.org.apache.spark.util.Utils.classForName(
+                    clz, True, False
+                ).getMethods()
+            )
+
+        self.assertEquals(
+            get_number_of_public_methods(
+                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryStartedEvent"
+            ),
+            15,
+            msg,
+        )
+        self.assertEquals(
+            get_number_of_public_methods(
+                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryProgressEvent"
+            ),
+            12,
+            msg,
+        )
+        self.assertEquals(
+            get_number_of_public_methods(
+                "org.apache.spark.sql.streaming.StreamingQueryListener$QueryTerminatedEvent"
+            ),
+            15,
+            msg,
+        )
+        self.assertEquals(
+            get_number_of_public_methods("org.apache.spark.sql.streaming.StreamingQueryProgress"),
+            38,
+            msg,
+        )
+        self.assertEquals(
+            get_number_of_public_methods("org.apache.spark.sql.streaming.StateOperatorProgress"),
+            27,
+            msg,
+        )
+        self.assertEquals(
+            get_number_of_public_methods("org.apache.spark.sql.streaming.SourceProgress"), 21, msg
+        )
+        self.assertEquals(
+            get_number_of_public_methods("org.apache.spark.sql.streaming.SinkProgress"), 19, msg
+        )
+
+    def test_listener_events(self):
+        start_event = None
+        progress_event = None
+        terminated_event = None
+
+        class TestListener(StreamingQueryListener):
+            def onQueryStarted(self, event):
+                nonlocal start_event
+                start_event = event
+
+            def onQueryProgress(self, event):
+                nonlocal progress_event
+                progress_event = event
+
+            def onQueryIdle(self, event):
+                pass
+
+            def onQueryTerminated(self, event):
+                nonlocal terminated_event
+                terminated_event = event
+
+        test_listener = TestListener()
+
+        try:
+            self.spark.streams.addListener(test_listener)
+
+            df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
+
+            # check successful stateful query
+            df_stateful = df.groupBy().count()  # make query stateful
+            q = (
+                df_stateful.writeStream.format("noop")
+                .queryName("test")
+                .outputMode("complete")
+                .start()
+            )
+            self.assertTrue(q.isActive)
+            time.sleep(10)
+            q.stop()
+
+            # Make sure all events are empty
+            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
+
+            self.check_start_event(start_event)
+            self.check_progress_event(progress_event)
+            self.check_terminated_event(terminated_event)
+
+            # Check query terminated with exception
+            from pyspark.sql.functions import col, udf
+
+            bad_udf = udf(lambda x: 1 / 0)
+            q = df.select(bad_udf(col("value"))).writeStream.format("noop").start()
+            time.sleep(5)
+            q.stop()
+            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
+            self.check_terminated_event(terminated_event, "ZeroDivisionError")
+
+        finally:
+            self.spark.streams.removeListener(test_listener)
+
     def test_remove_listener(self):
         # SPARK-38804: Test StreamingQueryManager.removeListener
         class TestListener(StreamingQueryListener):
diff --git a/python/setup.py b/python/setup.py
index 4d14dfd3cb971..b8e4c9a40e046 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -254,6 +254,7 @@ def run(self):
             "pyspark.sql.protobuf",
             "pyspark.sql.streaming",
             "pyspark.streaming",
+            "pyspark.sql.connect.streaming.worker",
             "pyspark.bin",
             "pyspark.sbin",
             "pyspark.jars",

From d8ce4a70c930a292c004244be42a66248e8c0595 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 2 Aug 2023 09:39:10 +0800
Subject: [PATCH 128/986] [SPARK-42497][FOLLOWUPS][TESTS] Add missing UTs to
 `modules.py`

### What changes were proposed in this pull request?
add missing UTs

### Why are the changes needed?
the two UTs were missing in https://github.com/apache/spark/pull/40525

### Does this PR introduce _any_ user-facing change?
no. test-only

### How was this patch tested?
updated CI

Closes #42262 from zhengruifeng/ps_test_ewm.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 6891f2c0ac8ccf1b77be876abdf03afed190c500)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 dev/sparktestsupport/modules.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 4005c317e6285..4435d19810b30 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -703,6 +703,7 @@ def __hash__(self):
         "pyspark.pandas.tests.test_default_index",
         "pyspark.pandas.tests.test_expanding",
         "pyspark.pandas.tests.test_extension",
+        "pyspark.pandas.tests.test_ewm",
         "pyspark.pandas.tests.test_frame_spark",
         "pyspark.pandas.tests.test_generic_functions",
         "pyspark.pandas.tests.test_indexops_spark",
@@ -928,6 +929,7 @@ def __hash__(self):
         "pyspark.pandas.tests.connect.test_parity_default_index",
         "pyspark.pandas.tests.connect.test_parity_expanding",
         "pyspark.pandas.tests.connect.test_parity_extension",
+        "pyspark.pandas.tests.connect.test_parity_ewm",
         "pyspark.pandas.tests.connect.test_parity_frame_spark",
         "pyspark.pandas.tests.connect.test_parity_generic_functions",
         "pyspark.pandas.tests.connect.test_parity_indexops_spark",

From 7e862c01fc9a1d3b47764df8b6a4b5c4cafb0807 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Wed, 2 Aug 2023 02:19:19 +0000
Subject: [PATCH 129/986] Preparing Spark release v3.5.0-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 4 ++--
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 45 insertions(+), 45 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index 09d6bd8a33f79..a389e3fe9a519 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index bef8303874b20..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 2b43f9ce98a80..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index a8bde14a259f0..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 671d5cb7e0178..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 4cc597519c3dd..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 9a44c847d8a03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bdf82d9285e06..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 46ce3ced6abf1..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 597e3c2235f7a..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index f327db7c193a5..0313cf2efab3c 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 891cda9723651..2a978e42d451d 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index ccaa0fd8b8174..10deea435d2bd 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index cc549487a8b57..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 340974cc789bd..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index fdd1196cd446a..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 3256130c50f3b..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 706eb2dd2c399..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index cd5c0393f6f84..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index c70a073e73407..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 3d6bbea7d41c5..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index c0dcde1355849..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index df20e030eb9c0..f71f2d21d0a91 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 57376b8e3939a..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0-SNAPSHOT
+SPARK_VERSION: 3.5.0
 SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:latest"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e8f22b995fded..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 48baeb9a87560..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 02e7675df286c..68ceae975b616 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index aba7ee82d53cf..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 00c16a8b6a544..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 73af83c758688..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index ffb9c6046e043..479b50c2d6fd5 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index d9f9663cf74f2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 8c0f9f989c170..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 9dab5496184e2..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 02894f82eec9d..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 7510ecac3e7fc..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index dcc7bcdd1af38..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index a00a7024bf3bf..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 242bf304708bb..a834cfb4c65b6 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2e53030fa6c6b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index fb7ac8e16ce8c..1076247709a7d 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 16d915c233ee4..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index bebfd3abcce39..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 9dc136d426871..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 495447f3c04b389f8b13d314714604611532d062 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Wed, 2 Aug 2023 02:19:22 +0000
Subject: [PATCH 130/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a389e3fe9a519..d97f724f0b5ff 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 0313cf2efab3c..4ea3ef1e48ba4 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 2a978e42d451d..df8972b832d64 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 10deea435d2bd..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index f71f2d21d0a91..674005c96eeab 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 68ceae975b616..309abba8da157 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 479b50c2d6fd5..eeb3ea1516dad 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index a834cfb4c65b6..e5b1d1d67b3b4 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1076247709a7d..7bcfb8e1908db 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From e8e425e5683738f5262edb44f2e4c0eca1ad0e0e Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 2 Aug 2023 10:52:32 +0800
Subject: [PATCH 131/986] [MINOR][CONNECT] Fix some typos in connect server
 module

### What changes were proposed in this pull request?
This pr just fix some typos in connect server module

### Why are the changes needed?
Fix typos

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

Closes #42259 from LuciferYang/connect-server-typo.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 0a9bc446163e0d3b06c8bf774d728d3770ac405b)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../main/scala/org/apache/spark/sql/connect/dsl/package.scala | 2 +-
 .../spark/sql/connect/execution/ExecuteThreadRunner.scala     | 4 ++--
 .../sql/connect/planner/StreamingForeachBatchHelper.scala     | 4 ++--
 .../org/apache/spark/sql/connect/service/ExecuteHolder.scala  | 2 +-
 .../sql/connect/service/SparkConnectInterceptorRegistry.scala | 2 +-
 .../spark/sql/connect/service/SparkConnectService.scala       | 4 ++--
 .../sql/connect/service/SparkConnectStreamingQueryCache.scala | 2 +-
 .../spark/sql/connect/ui/SparkConnectServerListener.scala     | 2 +-
 8 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
index 25d722cf58df4..86c38277c1b9b 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
@@ -1056,7 +1056,7 @@ package object dsl {
       def randomSplit(weights: Array[Double], seed: Long): Array[Relation] = {
         require(
           weights.forall(_ >= 0),
-          s"Weights must be nonnegative, but got ${weights.mkString("[", ",", "]")}")
+          s"Weights must be non-negative, but got ${weights.mkString("[", ",", "]")}")
         require(
           weights.sum > 0,
           s"Sum of weights must be positive, but got ${weights.mkString("[", ",", "]")}")
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index ec078216c21e6..662288177dc69 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -38,7 +38,7 @@ import org.apache.spark.util.Utils
 private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends Logging {
 
   // The newly created thread will inherit all InheritableThreadLocals used by Spark,
-  // e.g. SparkContext.localProperties. If considering implementing a threadpool,
+  // e.g. SparkContext.localProperties. If considering implementing a thread-pool,
   // forwarding of thread locals needs to be taken into account.
   private var executionThread: Thread = new ExecutionThread()
 
@@ -166,7 +166,7 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
         executeHolder.responseObserver.onNext(createResultComplete())
       }
       synchronized {
-        // Prevent interrupt after onCompleted, and throwing error to an alredy closed stream.
+        // Prevent interrupt after onCompleted, and throwing error to an already closed stream.
         completed = true
         executeHolder.responseObserver.onCompleted()
       }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 3b9ae483cf1b4..998faf327d03a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -113,8 +113,8 @@ object StreamingForeachBatchHelper extends Logging {
   }
 
   // TODO(SPARK-44433): Improve termination of Processes
-  //   The goal is that when a query is terminated, the python process asociated with foreachBatch
-  //   should be terminated. One way to do that is by registering stremaing query listener:
+  //   The goal is that when a query is terminated, the python process associated with foreachBatch
+  //   should be terminated. One way to do that is by registering streaming query listener:
   //   After pythonForeachBatchWrapper() is invoked by the SparkConnectPlanner.
   //   At that time, we don't have the streaming queries yet.
   //   Planner should call back into this helper with the query id when it starts it immediately
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 3c7cfbb19e6b3..a49c0a8bacf98 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -51,7 +51,7 @@ private[connect] class ExecuteHolder(
 
   /**
    * Tag that is set for this execution on SparkContext, via SparkContext.addJobTag. Used
-   * (internally) for cancallation of the Spark Jobs ran by this execution.
+   * (internally) for cancellation of the Spark Jobs ran by this execution.
    */
   val jobTag = ExecuteJobTag(sessionHolder.userId, sessionHolder.sessionId, operationId)
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterceptorRegistry.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterceptorRegistry.scala
index cddd4b976638d..b8df0ed21d107 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterceptorRegistry.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectInterceptorRegistry.scala
@@ -35,7 +35,7 @@ object SparkConnectInterceptorRegistry {
 
   // Contains the list of configured interceptors.
   private lazy val interceptorChain: Seq[InterceptorBuilder] = Seq(
-    // Adding a new interceptor at compile time works like the eaxmple below with the dummy
+    // Adding a new interceptor at compile time works like the example below with the dummy
     // interceptor:
     // interceptor[DummyInterceptor](classOf[DummyInterceptor])
   )
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 2bebb95462c4b..5f60f4b1f37d9 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -269,7 +269,7 @@ object SparkConnectService extends Logging {
   // For testing purpose, it's package level private.
   private[connect] def localPort: Int = {
     assert(server != null)
-    // Return the actual local port being used. This can be different from the csonfigured port
+    // Return the actual local port being used. This can be different from the configured port
     // when the server binds to the port 0 as an example.
     server.getPort
   }
@@ -374,7 +374,7 @@ object SparkConnectService extends Logging {
   }
 
   /**
-   * Starts the GRPC Serivce.
+   * Starts the GRPC Service.
    */
   private def startGRPCService(): Unit = {
     val debugMode = SparkEnv.get.conf.getBoolean("spark.connect.grpc.debug.enabled", true)
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
index 19acba7c77e6f..21a65d4ed999a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
@@ -161,7 +161,7 @@ private[connect] class SparkConnectStreamingQueryCache(
 
   /**
    * Periodic maintenance task to do the following:
-   *   - Update status of query if it is inactive. Sets an expiery time for such queries
+   *   - Update status of query if it is inactive. Sets an expiry time for such queries
    *   - Drop expired queries from the cache.
    *   - Poll sessions associated with the cached queries in order keep them alive in connect
    *     service' mapping (by invoking `sessionKeepAliveFn`).
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
index 90f9afebcb622..ec6079a891459 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListener.scala
@@ -205,7 +205,7 @@ private[connect] class SparkConnectServerListener(
         executionData.state = ExecutionState.READY
         updateLiveStore(executionData)
       case None =>
-        logWarning(s"onOperationReadyForExectuion called with unknown operation id: ${e.jobTag}")
+        logWarning(s"onOperationReadyForExecution called with unknown operation id: ${e.jobTag}")
     }
   }
 

From 6cd45ab801c5e39a05dd9ff760c67148bb067fa0 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 2 Aug 2023 12:49:11 +0900
Subject: [PATCH 132/986] [SPARK-44421][CONNECT][FOLLOWUP] Minor comment
 improvements

### What changes were proposed in this pull request?

Improve some comments about iterator retries.

### Why are the changes needed?

Improve comments based on followup questions.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

No code changes, only comment changes.

Closes #42281 from juliuszsompolski/SPARK-44624-comment-only.

Lead-authored-by: Juliusz Sompolski <julek@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit c1c4a79ff1728dca0c1536b944c10d282eb13f9f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../ExecutePlanResponseReattachableIterator.scala     | 11 +++++++++--
 .../spark/sql/connect/client/GrpcRetryHandler.scala   |  3 +++
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index c6f75928a3a04..00787b8f94d63 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -40,8 +40,13 @@ import org.apache.spark.internal.Logging
  * ExecutePlanResponse on the iterator to return a new iterator from server that continues after
  * that.
  *
- * Since in reattachable execute the server does buffer some responses in case the client needs to
- * backtrack
+ * In reattachable execute the server does buffer some responses in case the client needs to
+ * backtrack. To let server release this buffer sooner, this iterator asynchronously sends
+ * ReleaseExecute RPCs that instruct the server to release responses that it already processed.
+ *
+ * Note: If the initial ExecutePlan did not even reach the server and execution didn't start, the
+ * ReattachExecute can still fail with INVALID_HANDLE.OPERATION_NOT_FOUND, failing the whole
+ * operation.
  */
 class ExecutePlanResponseReattachableIterator(
     request: proto.ExecutePlanRequest,
@@ -86,6 +91,8 @@ class ExecutePlanResponseReattachableIterator(
   private var responseComplete: Boolean = false
 
   // Initial iterator comes from ExecutePlan request.
+  // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
+  // throw error on first iterator.hasNext() or iterator.next()
   private var iterator: java.util.Iterator[proto.ExecutePlanResponse] =
     rawBlockingStub.executePlan(initialRequest)
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 16352bb90b5b8..ef446399f1674 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -99,6 +99,9 @@ private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler
       extends StreamObserver[U] {
 
     private var opened = false // only retries on first call
+
+    // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
+    // throw error on first iterator.hasNext() or iterator.next()
     private var streamObserver = call(request)
 
     override def onNext(v: U): Unit = {

From 9ed13a1032e38d79d5b2f952a7537f675254a042 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Wed, 2 Aug 2023 12:48:48 +0800
Subject: [PATCH 133/986] [SPARK-41532][CONNECT][FOLLOWUP] Make the scala
 client using the same error class as python client

### What changes were proposed in this pull request?
The python connect client define the error class in `error_classes.py`.
`SESSION_NOT_SAME` is an error class used to check the `SparkSession` of one dataset is the same the other dataset. Please refer [`error_classes.py` ](https://github.com/apache/spark/blob/546e39c5dabc1111243ab81b6238dc893d9993e0/python/pyspark/errors/error_classes.py#L678C1-L678C1)
But the scala connect client not the the same error class.

### Why are the changes needed?
This PR make the scala client using the same error class as python client.

### Does this PR introduce _any_ user-facing change?
'No'.
Just update the inner implementation.

### How was this patch tested?
Exists test cases.

Closes #42256 from beliefer/SPARK-41532_followup.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 47d9fbd407d1b7148ae16c781facc2d9d663fc16)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 common/utils/src/main/resources/error/error-classes.json     | 5 +++++
 .../jvm/src/main/scala/org/apache/spark/sql/Dataset.scala    | 5 ++++-
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 31844f6f1f44f..385435c740ea4 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -350,6 +350,11 @@
         "message" : [
           "Error instantiating Spark Connect plugin: <msg>"
         ]
+      },
+      "SESSION_NOT_SAME" : {
+        "message" : [
+          "Both Datasets must belong to the same SparkSession."
+        ]
       }
     }
   },
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index b0dd91293a0be..0f7b376955c96 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -1750,7 +1750,10 @@ class Dataset[T] private[sql] (
 
   private def checkSameSparkSession(other: Dataset[_]): Unit = {
     if (this.sparkSession.sessionId != other.sparkSession.sessionId) {
-      throw new SparkException("Both Datasets must belong to the same SparkSession")
+      throw new SparkException(
+        errorClass = "CONNECT.SESSION_NOT_SAME",
+        messageParameters = Map.empty,
+        cause = null)
     }
   }
 

From c47d9b1bcf61f65a7078d43361b438fd56d0af81 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Wed, 2 Aug 2023 10:51:16 +0500
Subject: [PATCH 134/986] [SPARK-44555][SQL] Use checkError() to check
 Exception in command Suite & assign some error class names

### What changes were proposed in this pull request?
The pr aims to
1. Use `checkError()` to check Exception in `command` Suite.
2. Assign some error class names, include: `UNSUPPORTED_FEATURE.PURGE_PARTITION` and `UNSUPPORTED_FEATURE.PURGE_TABLE`.

### Why are the changes needed?
The changes improve the error framework.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Manually test.
- Pass GA.

Closes #42169 from panbingkun/checkError_for_command.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 4ec27c3801aaa0cbba3e086c278a0ff96260b84a)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../main/resources/error/error-classes.json   | 10 +++++++
 ...ditions-unsupported-feature-error-class.md |  8 +++++
 .../SupportsAtomicPartitionManagement.java    |  3 +-
 .../catalog/SupportsPartitionManagement.java  |  3 +-
 .../sql/connector/catalog/TableCatalog.java   |  3 +-
 .../sql/errors/QueryExecutionErrors.scala     | 12 ++++++++
 ...pportsAtomicPartitionManagementSuite.scala | 13 ++++----
 .../SupportsPartitionManagementSuite.scala    | 13 ++++----
 .../v1/AlterTableAddPartitionSuite.scala      | 14 +++++----
 .../v1/AlterTableDropPartitionSuite.scala     | 12 ++++----
 .../command/v1/AlterTableRenameSuite.scala    | 11 ++++---
 .../v1/AlterTableSetLocationSuite.scala       | 11 ++++---
 .../command/v1/ShowCreateTableSuite.scala     | 12 ++++----
 .../command/v1/ShowTablesSuite.scala          | 22 +++++++++-----
 .../command/v1/TruncateTableSuite.scala       | 11 ++++---
 .../v2/AlterTableDropPartitionSuite.scala     | 12 +++++---
 .../v2/AlterTableRecoverPartitionsSuite.scala | 11 ++++---
 .../v2/AlterTableSetLocationSuite.scala       | 12 ++++----
 .../execution/command/v2/DropTableSuite.scala | 12 +++++---
 .../command/v2/MsckRepairTableSuite.scala     | 11 ++++---
 .../command/v2/ShowTablesSuite.scala          | 11 ++++---
 .../command/ShowCreateTableSuite.scala        | 30 +++++++++++--------
 22 files changed, 172 insertions(+), 85 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 385435c740ea4..480ec63628394 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -2956,6 +2956,16 @@
           "Pivoting by the value '<value>' of the column data type <type>."
         ]
       },
+      "PURGE_PARTITION" : {
+        "message" : [
+          "Partition purge."
+        ]
+      },
+      "PURGE_TABLE" : {
+        "message" : [
+          "Purge table."
+        ]
+      },
       "PYTHON_UDF_IN_ON_CLAUSE" : {
         "message" : [
           "Python UDF in the ON clause of a <joinType> JOIN. In case of an INNNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause."
diff --git a/docs/sql-error-conditions-unsupported-feature-error-class.md b/docs/sql-error-conditions-unsupported-feature-error-class.md
index aa1c622c458ba..7a60dc76fa640 100644
--- a/docs/sql-error-conditions-unsupported-feature-error-class.md
+++ b/docs/sql-error-conditions-unsupported-feature-error-class.md
@@ -141,6 +141,14 @@ PIVOT clause following a GROUP BY clause. Consider pushing the GROUP BY into a s
 
 Pivoting by the value '`<value>`' of the column data type `<type>`.
 
+## PURGE_PARTITION
+
+Partition purge.
+
+## PURGE_TABLE
+
+Purge table.
+
 ## PYTHON_UDF_IN_ON_CLAUSE
 
 Python UDF in the ON clause of a `<joinType>` JOIN. In case of an INNNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause.
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagement.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagement.java
index 3eb9bf9f91349..48c6392d2b8ff 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagement.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagement.java
@@ -23,6 +23,7 @@
 import org.apache.spark.sql.catalyst.InternalRow;
 import org.apache.spark.sql.catalyst.analysis.NoSuchPartitionException;
 import org.apache.spark.sql.catalyst.analysis.PartitionsAlreadyExistException;
+import org.apache.spark.sql.errors.QueryExecutionErrors;
 
 /**
  * An atomic partition interface of {@link Table} to operate multiple partitions atomically.
@@ -107,7 +108,7 @@ void createPartitions(
    */
   default boolean purgePartitions(InternalRow[] idents)
     throws NoSuchPartitionException, UnsupportedOperationException {
-    throw new UnsupportedOperationException("Partition purge is not supported");
+    throw QueryExecutionErrors.unsupportedPurgePartitionError();
   }
 
   /**
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsPartitionManagement.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsPartitionManagement.java
index 4830e193222fc..e7a2af29a00bc 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsPartitionManagement.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsPartitionManagement.java
@@ -23,6 +23,7 @@
 import org.apache.spark.sql.catalyst.InternalRow;
 import org.apache.spark.sql.catalyst.analysis.NoSuchPartitionException;
 import org.apache.spark.sql.catalyst.analysis.PartitionsAlreadyExistException;
+import org.apache.spark.sql.errors.QueryExecutionErrors;
 import org.apache.spark.sql.types.StructType;
 
 /**
@@ -88,7 +89,7 @@ void createPartition(
      */
     default boolean purgePartition(InternalRow ident)
       throws NoSuchPartitionException, UnsupportedOperationException {
-      throw new UnsupportedOperationException("Partition purge is not supported");
+      throw QueryExecutionErrors.unsupportedPurgePartitionError();
     }
 
     /**
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
index 6cfd5ab1b6bee..d99e7e14b0117 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
@@ -23,6 +23,7 @@
 import org.apache.spark.sql.catalyst.analysis.NoSuchTableException;
 import org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException;
 import org.apache.spark.sql.errors.QueryCompilationErrors;
+import org.apache.spark.sql.errors.QueryExecutionErrors;
 import org.apache.spark.sql.types.StructType;
 
 import java.util.Collections;
@@ -256,7 +257,7 @@ Table alterTable(
    * @since 3.1.0
    */
   default boolean purgeTable(Identifier ident) throws UnsupportedOperationException {
-    throw new UnsupportedOperationException("Purge table is not supported.");
+    throw QueryExecutionErrors.unsupportedPurgeTableError();
   }
 
   /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index c7245eb0a6d60..89c080409e2ce 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -2702,4 +2702,16 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       errorClass = "MERGE_CARDINALITY_VIOLATION",
       messageParameters = Map.empty)
   }
+
+  def unsupportedPurgePartitionError(): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_FEATURE.PURGE_PARTITION",
+      messageParameters = Map.empty)
+  }
+
+  def unsupportedPurgeTableError(): SparkUnsupportedOperationException = {
+    new SparkUnsupportedOperationException(
+      errorClass = "UNSUPPORTED_FEATURE.PURGE_TABLE",
+      messageParameters = Map.empty)
+  }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagementSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagementSuite.scala
index 90ed106d8ed1b..4d25fda92ec1e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagementSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsAtomicPartitionManagementSuite.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.connector.catalog
 
 import java.util
 
-import org.apache.spark.SparkFunSuite
+import org.apache.spark.{SparkFunSuite, SparkUnsupportedOperationException}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.{NoSuchPartitionException, PartitionsAlreadyExistException}
 import org.apache.spark.sql.connector.expressions.{LogicalExpressions, NamedReference, Transform}
@@ -117,10 +117,13 @@ class SupportsAtomicPartitionManagementSuite extends SparkFunSuite {
     partTable.createPartitions(
       partIdents,
       Array(new util.HashMap[String, String](), new util.HashMap[String, String]()))
-    val errMsg = intercept[UnsupportedOperationException] {
-      partTable.purgePartitions(partIdents)
-    }.getMessage
-    assert(errMsg.contains("purge is not supported"))
+    checkError(
+      exception = intercept[SparkUnsupportedOperationException] {
+        partTable.purgePartitions(partIdents)
+      },
+      errorClass = "UNSUPPORTED_FEATURE.PURGE_PARTITION",
+      parameters = Map.empty
+    )
   }
 
   test("dropPartitions failed if partition not exists") {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsPartitionManagementSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsPartitionManagementSuite.scala
index 40114d063aada..501f363d7dc6b 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsPartitionManagementSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/SupportsPartitionManagementSuite.scala
@@ -21,7 +21,7 @@ import java.util
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.SparkFunSuite
+import org.apache.spark.{SparkFunSuite, SparkUnsupportedOperationException}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.{NoSuchPartitionException, PartitionsAlreadyExistException}
 import org.apache.spark.sql.connector.expressions.{LogicalExpressions, NamedReference, Transform}
@@ -89,10 +89,13 @@ class SupportsPartitionManagementSuite extends SparkFunSuite {
     val table = catalog.loadTable(ident)
     val partTable = new InMemoryPartitionTable(
       table.name(), table.schema(), table.partitioning(), table.properties())
-    val errMsg = intercept[UnsupportedOperationException] {
-      partTable.purgePartition(InternalRow.apply("3"))
-    }.getMessage
-    assert(errMsg.contains("purge is not supported"))
+    checkError(
+      exception = intercept[SparkUnsupportedOperationException] {
+        partTable.purgePartition(InternalRow.apply("3"))
+      },
+      errorClass = "UNSUPPORTED_FEATURE.PURGE_PARTITION",
+      parameters = Map.empty
+    )
   }
 
   test("replacePartitionMetadata") {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableAddPartitionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableAddPartitionSuite.scala
index d41fd6b00f8aa..71f04159638aa 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableAddPartitionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableAddPartitionSuite.scala
@@ -39,11 +39,15 @@ trait AlterTableAddPartitionSuiteBase extends command.AlterTableAddPartitionSuit
   test("empty string as partition value") {
     withNamespaceAndTable("ns", "tbl") { t =>
       sql(s"CREATE TABLE $t (col1 INT, p1 STRING) $defaultUsing PARTITIONED BY (p1)")
-      val errMsg = intercept[AnalysisException] {
-        sql(s"ALTER TABLE $t ADD PARTITION (p1 = '')")
-      }.getMessage
-      assert(errMsg.contains("Partition spec is invalid. " +
-        "The spec ([p1=]) contains an empty partition column value"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"ALTER TABLE $t ADD PARTITION (p1 = '')")
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1076",
+        parameters = Map(
+          "details" -> "The spec ([p1=]) contains an empty partition column value"
+        )
+      )
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableDropPartitionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableDropPartitionSuite.scala
index cc57e10a16887..8d403429ca5d2 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableDropPartitionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableDropPartitionSuite.scala
@@ -79,11 +79,13 @@ class AlterTableDropPartitionSuite
   test("empty string as partition value") {
     withNamespaceAndTable("ns", "tbl") { t =>
       sql(s"CREATE TABLE $t (col1 INT, p1 STRING) $defaultUsing PARTITIONED BY (p1)")
-      val errMsg = intercept[AnalysisException] {
-        sql(s"ALTER TABLE $t DROP PARTITION (p1 = '')")
-      }.getMessage
-      assert(errMsg.contains("Partition spec is invalid. " +
-        "The spec ([p1=]) contains an empty partition column value"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"ALTER TABLE $t DROP PARTITION (p1 = '')")
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1076",
+        parameters = Map("details" -> "The spec ([p1=]) contains an empty partition column value")
+      )
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableRenameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableRenameSuite.scala
index 3efd6d8a95755..dfbdc6a4ca78e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableRenameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableRenameSuite.scala
@@ -37,10 +37,13 @@ trait AlterTableRenameSuiteBase extends command.AlterTableRenameSuiteBase with Q
         sql(s"CREATE NAMESPACE $catalog.src_ns")
         val src = dst.replace("dst", "src")
         sql(s"CREATE TABLE $src (c0 INT) $defaultUsing")
-        val errMsg = intercept[AnalysisException] {
-          sql(s"ALTER TABLE $src RENAME TO dst_ns.dst_tbl")
-        }.getMessage
-        assert(errMsg.contains("source and destination databases do not match"))
+        checkError(
+          exception = intercept[AnalysisException] {
+            sql(s"ALTER TABLE $src RENAME TO dst_ns.dst_tbl")
+          },
+          errorClass = "_LEGACY_ERROR_TEMP_1073",
+          parameters = Map("db" -> "src_ns", "newDb" -> "dst_ns")
+        )
       }
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableSetLocationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableSetLocationSuite.scala
index d0f1a83594284..53b9853f36c8c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableSetLocationSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/AlterTableSetLocationSuite.scala
@@ -89,10 +89,13 @@ trait AlterTableSetLocationSuiteBase extends command.AlterTableSetLocationSuiteB
         checkLocation(tableIdent, new URI("/path/to/part/ways2"), Some(partSpec))
       }
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") {
-        val e = intercept[AnalysisException] {
-          sql(s"ALTER TABLE $t PARTITION (A='1', B='2') SET LOCATION '/path/to/part/ways3'")
-        }.getMessage
-        assert(e.contains("not a valid partition column"))
+        checkError(
+          exception = intercept[AnalysisException] {
+            sql(s"ALTER TABLE $t PARTITION (A='1', B='2') SET LOCATION '/path/to/part/ways3'")
+          },
+          errorClass = "_LEGACY_ERROR_TEMP_1231",
+          parameters = Map("key" -> "A", "tblName" -> "`spark_catalog`.`ns`.`tbl`")
+        )
       }
 
       sessionCatalog.setCurrentDatabase("ns")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
index b9fcf76ad7cdc..36fde23db5c03 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowCreateTableSuite.scala
@@ -158,11 +158,13 @@ trait ShowCreateTableSuiteBase extends command.ShowCreateTableSuiteBase
          """.stripMargin
       )
 
-      val cause = intercept[AnalysisException] {
-        getShowCreateDDL(t, true)
-      }
-
-      assert(cause.getMessage.contains("Use `SHOW CREATE TABLE` without `AS SERDE` instead"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          getShowCreateDDL(t, true)
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1274",
+        parameters = Map("table" -> "`spark_catalog`.`ns1`.`tbl`")
+      )
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowTablesSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowTablesSuite.scala
index 4db42f1d7202d..5bda7d002dc51 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowTablesSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/ShowTablesSuite.scala
@@ -53,10 +53,13 @@ trait ShowTablesSuiteBase extends command.ShowTablesSuiteBase with command.Tests
   }
 
   test("only support single-level namespace") {
-    val errMsg = intercept[AnalysisException] {
-      runShowTablesSql("SHOW TABLES FROM a.b", Seq())
-    }.getMessage
-    assert(errMsg.contains("Nested databases are not supported by v1 session catalog: a.b"))
+    checkError(
+      exception = intercept[AnalysisException] {
+        runShowTablesSql("SHOW TABLES FROM a.b", Seq())
+      },
+      errorClass = "_LEGACY_ERROR_TEMP_1126",
+      parameters = Map("catalog" -> "a.b")
+    )
   }
 
   test("SHOW TABLE EXTENDED from default") {
@@ -96,10 +99,13 @@ trait ShowTablesSuiteBase extends command.ShowTablesSuiteBase with command.Tests
     Seq(
       s"SHOW TABLES IN $catalog",
       s"SHOW TABLE EXTENDED IN $catalog LIKE '*tbl'").foreach { showTableCmd =>
-      val errMsg = intercept[AnalysisException] {
-        sql(showTableCmd)
-      }.getMessage
-      assert(errMsg.contains("Database from v1 session catalog is not specified"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(showTableCmd)
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1125",
+        parameters = Map.empty
+      )
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
index 7da03db6f7371..cd0a057284705 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
@@ -195,10 +195,13 @@ class TruncateTableSuite extends TruncateTableSuiteBase with CommandSuiteBase {
       withNamespaceAndTable("ns", "tbl") { t =>
         (("a", "b") :: Nil).toDF().write.parquet(tempDir.getCanonicalPath)
         sql(s"CREATE TABLE $t $defaultUsing LOCATION '${tempDir.toURI}'")
-        val errMsg = intercept[AnalysisException] {
-          sql(s"TRUNCATE TABLE $t")
-        }.getMessage
-        assert(errMsg.contains("Operation not allowed: TRUNCATE TABLE on external tables"))
+        checkError(
+          exception = intercept[AnalysisException] {
+            sql(s"TRUNCATE TABLE $t")
+          },
+          errorClass = "_LEGACY_ERROR_TEMP_1266",
+          parameters = Map("tableIdentWithDB" -> "`spark_catalog`.`ns`.`tbl`")
+        )
       }
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableDropPartitionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableDropPartitionSuite.scala
index f2d9099025717..2df7eebaecc81 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableDropPartitionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableDropPartitionSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.execution.command.v2
 
+import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
 import org.apache.spark.sql.catalyst.util.quoteIdentifier
@@ -56,10 +57,13 @@ class AlterTableDropPartitionSuite
       sql(s"CREATE TABLE $t (id bigint, data string) $defaultUsing PARTITIONED BY (id)")
       sql(s"ALTER TABLE $t ADD PARTITION (id=1)")
       try {
-        val errMsg = intercept[UnsupportedOperationException] {
-          sql(s"ALTER TABLE $t DROP PARTITION (id=1) PURGE")
-        }.getMessage
-        assert(errMsg.contains("purge is not supported"))
+        checkError(
+          exception = intercept[SparkUnsupportedOperationException] {
+            sql(s"ALTER TABLE $t DROP PARTITION (id=1) PURGE")
+          },
+          errorClass = "UNSUPPORTED_FEATURE.PURGE_PARTITION",
+          parameters = Map.empty
+        )
       } finally {
         sql(s"ALTER TABLE $t DROP PARTITION (id=1)")
       }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableRecoverPartitionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableRecoverPartitionsSuite.scala
index a44e346d0348c..ff6ff0df5306a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableRecoverPartitionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableRecoverPartitionsSuite.scala
@@ -31,10 +31,13 @@ class AlterTableRecoverPartitionsSuite
   test("partition recovering of v2 tables is not supported") {
     withNamespaceAndTable("ns", "tbl") { t =>
       spark.sql(s"CREATE TABLE $t (id bigint, data string) $defaultUsing")
-      val errMsg = intercept[AnalysisException] {
-        sql(s"ALTER TABLE $t RECOVER PARTITIONS")
-      }.getMessage
-      assert(errMsg.contains("ALTER TABLE ... RECOVER PARTITIONS is not supported for v2 tables"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"ALTER TABLE $t RECOVER PARTITIONS")
+        },
+        errorClass = "NOT_SUPPORTED_COMMAND_FOR_V2_TABLE",
+        parameters = Map("cmd" -> "ALTER TABLE ... RECOVER PARTITIONS")
+      )
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableSetLocationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableSetLocationSuite.scala
index babd3bb3714f2..0ac35452b60a5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableSetLocationSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/AlterTableSetLocationSuite.scala
@@ -56,11 +56,13 @@ class AlterTableSetLocationSuite
     withNamespaceAndTable("ns", "tbl") { t =>
       sql(s"CREATE TABLE $t (id int) USING foo")
 
-      val e = intercept[AnalysisException] {
-        sql(s"ALTER TABLE $t PARTITION(ds='2017-06-10') SET LOCATION 's3://bucket/path'")
-      }
-      assert(e.getMessage.contains(
-        "ALTER TABLE SET LOCATION does not support partition for v2 tables"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"ALTER TABLE $t PARTITION(ds='2017-06-10') SET LOCATION 's3://bucket/path'")
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1045",
+        parameters = Map.empty
+      )
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DropTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DropTableSuite.scala
index 9c9b7d3049c7a..83bded7ab4f52 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DropTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DropTableSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.execution.command.v2
 
+import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.connector.InMemoryTableSessionCatalog
 import org.apache.spark.sql.execution.command
@@ -29,11 +30,14 @@ class DropTableSuite extends command.DropTableSuiteBase with CommandSuiteBase {
   test("purge option") {
     withNamespaceAndTable("ns", "tbl") { t =>
       createTable(t)
-      val errMsg = intercept[UnsupportedOperationException] {
-        sql(s"DROP TABLE $catalog.ns.tbl PURGE")
-      }.getMessage
       // The default TableCatalog.purgeTable implementation throws an exception.
-      assert(errMsg.contains("Purge table is not supported"))
+      checkError(
+        exception = intercept[SparkUnsupportedOperationException] {
+          sql(s"DROP TABLE $catalog.ns.tbl PURGE")
+        },
+        errorClass = "UNSUPPORTED_FEATURE.PURGE_TABLE",
+        parameters = Map.empty
+      )
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/MsckRepairTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/MsckRepairTableSuite.scala
index d4b23e50786eb..381e55b49393c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/MsckRepairTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/MsckRepairTableSuite.scala
@@ -32,10 +32,13 @@ class MsckRepairTableSuite
   test("repairing of v2 tables is not supported") {
     withNamespaceAndTable("ns", "tbl") { t =>
       spark.sql(s"CREATE TABLE $t (id bigint, data string) $defaultUsing")
-      val errMsg = intercept[AnalysisException] {
-        sql(s"MSCK REPAIR TABLE $t")
-      }.getMessage
-      assert(errMsg.contains("MSCK REPAIR TABLE is not supported for v2 tables"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"MSCK REPAIR TABLE $t")
+        },
+        errorClass = "NOT_SUPPORTED_COMMAND_FOR_V2_TABLE",
+        parameters = Map("cmd" -> "MSCK REPAIR TABLE")
+      )
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowTablesSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowTablesSuite.scala
index e7e5c71c9ef0a..9a67eab055e78 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowTablesSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowTablesSuite.scala
@@ -84,10 +84,13 @@ class ShowTablesSuite extends command.ShowTablesSuiteBase with CommandSuiteBase
     val table = "people"
     withTable(s"$catalog.$table") {
       sql(s"CREATE TABLE $catalog.$table (name STRING, id INT) $defaultUsing")
-      val errMsg = intercept[AnalysisException] {
-        sql(s"SHOW TABLE EXTENDED FROM $catalog LIKE '*$table*'").collect()
-      }.getMessage
-      assert(errMsg.contains("SHOW TABLE EXTENDED is not supported for v2 tables"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql(s"SHOW TABLE EXTENDED FROM $catalog LIKE '*$table*'").collect()
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1200",
+        parameters = Map("name" -> "SHOW TABLE EXTENDED")
+      )
     }
   }
 
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
index 55a27f336db40..5f8f250f8e9a8 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/command/ShowCreateTableSuite.scala
@@ -357,11 +357,17 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
          """.stripMargin
       )
 
-      val cause = intercept[AnalysisException] {
-        checkCreateSparkTableAsHive("t1")
-      }
-
-      assert(cause.getMessage.contains("unsupported serde configuration"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          checkCreateSparkTableAsHive("t1")
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1273",
+        parameters = Map(
+          "table" -> "t1",
+          "configs" -> (" SERDE: org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe " +
+            "INPUTFORMAT: org.apache.hadoop.hive.ql.io.RCFileInputFormat " +
+            "OUTPUTFORMAT: org.apache.hadoop.hive.ql.io.RCFileOutputFormat"))
+      )
     }
   }
 
@@ -423,13 +429,13 @@ class ShowCreateTableSuite extends v1.ShowCreateTableSuiteBase with CommandSuite
          """.stripMargin
       )
 
-
-      val cause = intercept[AnalysisException] {
-        sql("SHOW CREATE TABLE t1")
-      }
-
-      assert(cause.getMessage.contains(
-        "SHOW CREATE TABLE doesn't support transactional Hive table"))
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("SHOW CREATE TABLE t1")
+        },
+        errorClass = "_LEGACY_ERROR_TEMP_1272",
+        parameters = Map("table" -> "`spark_catalog`.`default`.`t1`")
+      )
     }
   }
 }

From c26bc3a98ac13f2a1a9032baff850a8738a84149 Mon Sep 17 00:00:00 2001
From: Mingkang Li <mingkang.li@databricks.com>
Date: Wed, 2 Aug 2023 14:47:57 +0800
Subject: [PATCH 135/986] [SPARK-44280][SQL] Add
 convertJavaTimestampToTimestamp in JDBCDialect API

### What changes were proposed in this pull request?

This PR fixes an overflow issue upon reading an "infinity" timestamp from PostgreSQL. It addresses the issue by adding a new function, convertJavaTimestampToTimestamp, to the JDBCDialects API, and overrides it in PostgresDialect.scala by clamping the special "infinity" timestamps to long.max and long.min.

### Why are the changes needed?

The pre-existing default behavior of timestamp conversion potentially triggers an overflow due to these special values (i.e. The executor would crash if you select a column that contains infinity timestamps in PostgreSQL.) By integrating this new function, we can mitigate such issues, enabling more versatile and robust timestamp value conversions across various JDBC-based connectors.

### Does this PR introduce _any_ user-facing change?

A new function, convertJavaTimestampToTimestamp, is added to the JDBCDialects API to allow JDBC dialects to override the default behavior of converting Java timestamps.

### How was this patch tested?

An integration test was added in PostgresIntegrationSuite.scala to verify it can handle +infinity and -infinity timestamps in PostgreSQL.

Closes #41843 from mingkangli-db/SPARK-44280.

Authored-by: Mingkang Li <mingkang.li@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit e91c024cf3b7a1391574437bafcc695f61a9e96c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/jdbc/PostgresIntegrationSuite.scala   | 21 +++++++++++-
 .../datasources/jdbc/JdbcUtils.scala          |  3 +-
 .../apache/spark/sql/jdbc/JdbcDialects.scala  | 13 +++++++-
 .../spark/sql/jdbc/PostgresDialect.scala      | 32 ++++++++++++++++++-
 4 files changed, 65 insertions(+), 4 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
index c539452bb9ae0..90d6f6ae2fbfc 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.jdbc
 import java.math.{BigDecimal => JBigDecimal}
 import java.sql.{Connection, Date, Timestamp}
 import java.text.SimpleDateFormat
-import java.time.LocalDateTime
+import java.time.{LocalDateTime, ZoneOffset}
 import java.util.Properties
 
 import org.apache.spark.sql.Column
@@ -148,6 +148,11 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
       |('2013-04-05 18:01:02.123'),
       |('2013-04-05 18:01:02.123456')""".stripMargin).executeUpdate()
 
+    conn.prepareStatement("CREATE TABLE infinity_timestamp" +
+      "(id SERIAL PRIMARY KEY, timestamp_column TIMESTAMP);").executeUpdate()
+    conn.prepareStatement("INSERT INTO infinity_timestamp (timestamp_column)" +
+      " VALUES ('infinity'), ('-infinity');").executeUpdate()
+
     conn.prepareStatement("CREATE DOMAIN not_null_text AS TEXT DEFAULT ''").executeUpdate()
     conn.prepareStatement("create table custom_type(type_array not_null_text[]," +
       "type not_null_text)").executeUpdate()
@@ -432,4 +437,18 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(row(0).getSeq[String](0) == Seq("1", "fds", "fdsa"))
     assert(row(0).getString(1) == "fdasfasdf")
   }
+
+  test("SPARK-44280: infinity timestamp test") {
+    val df = sqlContext.read.jdbc(jdbcUrl, "infinity_timestamp", new Properties)
+    val row = df.collect()
+
+    assert(row.length == 2)
+    val infinity = row(0).getAs[Timestamp]("timestamp_column")
+    val negativeInfinity = row(1).getAs[Timestamp]("timestamp_column")
+    val minTimeStamp = LocalDateTime.of(1, 1, 1, 0, 0, 0).toEpochSecond(ZoneOffset.UTC)
+    val maxTimestamp = LocalDateTime.of(9999, 12, 31, 23, 59, 59).toEpochSecond(ZoneOffset.UTC)
+
+    assert(infinity.getTime == maxTimestamp)
+    assert(negativeInfinity.getTime == minTimeStamp)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index daeecaeb90a52..448ef220829f3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -483,7 +483,8 @@ object JdbcUtils extends Logging with SQLConfHelper {
       (rs: ResultSet, row: InternalRow, pos: Int) =>
         val t = rs.getTimestamp(pos + 1)
         if (t != null) {
-          row.setLong(pos, DateTimeUtils.fromJavaTimestamp(t))
+          row.setLong(pos, DateTimeUtils.
+                            fromJavaTimestamp(dialect.convertJavaTimestampToTimestamp(t)))
         } else {
           row.update(pos, null)
         }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index 93a311be2f867..fac3cc60d952a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -105,10 +105,21 @@ abstract class JdbcDialect extends Serializable with Logging {
    */
   def getJDBCType(dt: DataType): Option[JdbcType] = None
 
+  /**
+   * Converts an instance of `java.sql.Timestamp` to a custom `java.sql.Timestamp` value.
+   * @param t represents a specific instant in time based on
+   *          the hybrid calendar which combines Julian and
+   *          Gregorian calendars.
+   * @return the timestamp value to convert to
+   * @throws IllegalArgumentException if t is null
+   */
+  @Since("3.5.0")
+  def convertJavaTimestampToTimestamp(t: Timestamp): Timestamp = t
+
   /**
    * Convert java.sql.Timestamp to a LocalDateTime representing the same wall-clock time as the
    * value stored in a remote database.
-   * JDBC dialects should override this function to provide implementations that suite their
+   * JDBC dialects should override this function to provide implementations that suit their
    * JDBC drivers.
    * @param t Timestamp returned from JDBC driver getTimestamp method.
    * @return A LocalDateTime representing the same wall clock time as the timestamp in database.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index ab8b1a7e1a50d..9c1ca2cb913e6 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.jdbc
 
 import java.sql.{Connection, SQLException, Timestamp, Types}
-import java.time.LocalDateTime
+import java.time.{LocalDateTime, ZoneOffset}
 import java.util
 import java.util.Locale
 
@@ -281,4 +281,34 @@ private object PostgresDialect extends JdbcDialect with SQLConfHelper {
     }
     s"ALTER TABLE ${getFullyQualifiedQuotedTableName(oldTable)} RENAME TO ${newTable.name()}"
   }
+
+  /**
+   * java.sql timestamps are measured with millisecond accuracy (from Long.MinValue
+   * milliseconds to Long.MaxValue milliseconds), while Spark timestamps are measured
+   * at microseconds accuracy. For the "infinity values" in PostgreSQL (represented by
+   * big constants), we need clamp them to avoid overflow. If it is not one of the infinity
+   * values, fall back to default behavior.
+   */
+  override def convertJavaTimestampToTimestamp(t: Timestamp): Timestamp = {
+    // Variable names come from PostgreSQL "constant field docs":
+    // https://jdbc.postgresql.org/documentation/publicapi/index.html?constant-values.html
+    val POSTGRESQL_DATE_NEGATIVE_INFINITY = -9223372036832400000L
+    val POSTGRESQL_DATE_NEGATIVE_SMALLER_INFINITY = -185543533774800000L
+    val POSTGRESQL_DATE_POSITIVE_INFINITY = 9223372036825200000L
+    val POSTGRESQL_DATE_DATE_POSITIVE_SMALLER_INFINITY = 185543533774800000L
+
+    val minTimeStamp = LocalDateTime.of(1, 1, 1, 0, 0, 0).toEpochSecond(ZoneOffset.UTC)
+    val maxTimestamp = LocalDateTime.of(9999, 12, 31, 23, 59, 59).toEpochSecond(ZoneOffset.UTC)
+
+    val time = t.getTime
+    if (time == POSTGRESQL_DATE_POSITIVE_INFINITY ||
+      time == POSTGRESQL_DATE_DATE_POSITIVE_SMALLER_INFINITY) {
+      new Timestamp(maxTimestamp)
+    } else if (time == POSTGRESQL_DATE_NEGATIVE_INFINITY ||
+      time == POSTGRESQL_DATE_NEGATIVE_SMALLER_INFINITY) {
+      new Timestamp(minTimeStamp)
+    } else {
+      t
+    }
+  }
 }

From ad64333b4e0a6100fea0f33cc73825f8bee951ca Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 2 Aug 2023 16:45:22 +0900
Subject: [PATCH 136/986] [SPARK-44631][CONNECT][CORE] Remove session-based
 directory when the isolated session cache is evicted

### What changes were proposed in this pull request?

This PR proposes to remove session-based directories when the isolated session is evicted from the cache.

### Why are the changes needed?

SPARK-44078 added the cache for isolated sessions, and SPARK-44348 added the session-based directory for isolation.
When the isolated session cache is evicted, we should remove the session-based directory so it doesn't fail when the same session is used, see also https://github.com/apache/spark/pull/41625#discussion_r1251427466

### Does this PR introduce _any_ user-facing change?

No to end users since the feature has not been released yet.

### How was this patch tested?

I manually tested as described in https://github.com/apache/spark/pull/41292. Especially, I reduced the TTL to few minutes, and tested as below at the last step:

```python
spark.range(10).select(plug_one("id")).show()
spark.range(10).select(plug_one("id")).show()
# Wait few minutes
spark.range(10).select(plug_one("id")).show()
```

I verified that the same session can be added back to the cache, and creates the directory with the same name by reading executor's stderr at Spark UI.

Closes #42289 from HyukjinKwon/SPARK-44631.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 35d47651ed01fe73d852623ecdda231316246544)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/executor/Executor.scala  | 19 ++++++++++++++++---
 1 file changed, 16 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala
index 1b7bb8af79a90..9290b5b36a8f7 100644
--- a/core/src/main/scala/org/apache/spark/executor/Executor.scala
+++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala
@@ -35,7 +35,7 @@ import scala.collection.mutable.{ArrayBuffer, HashMap, WrappedArray}
 import scala.concurrent.duration._
 import scala.util.control.NonFatal
 
-import com.google.common.cache.CacheBuilder
+import com.google.common.cache.{Cache, CacheBuilder, RemovalListener, RemovalNotification}
 import com.google.common.util.concurrent.ThreadFactoryBuilder
 import org.slf4j.MDC
 
@@ -196,11 +196,24 @@ private[spark] class Executor(
 
   // Classloader isolation
   // The default isolation group
-  val defaultSessionState = newSessionState(JobArtifactState("default", None))
+  val defaultSessionState: IsolatedSessionState = newSessionState(JobArtifactState("default", None))
 
-  val isolatedSessionCache = CacheBuilder.newBuilder()
+  val isolatedSessionCache: Cache[String, IsolatedSessionState] = CacheBuilder.newBuilder()
     .maximumSize(100)
     .expireAfterAccess(30, TimeUnit.MINUTES)
+    .removalListener(new RemovalListener[String, IsolatedSessionState]() {
+      override def onRemoval(
+          notification: RemovalNotification[String, IsolatedSessionState]): Unit = {
+        val state = notification.getValue
+        // Cache is always used for isolated sessions.
+        assert(!isDefaultState(state.sessionUUID))
+        val sessionBasedRoot = new File(SparkFiles.getRootDirectory(), state.sessionUUID)
+        if (sessionBasedRoot.isDirectory && sessionBasedRoot.exists()) {
+          Utils.deleteRecursively(sessionBasedRoot)
+        }
+        logInfo(s"Session evicted: ${state.sessionUUID}")
+      }
+    })
     .build[String, IsolatedSessionState]
 
   // Set the classloader for serializer

From fab878dd493b7bb56ef44058e48be315023959e7 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 2 Aug 2023 17:36:46 +0800
Subject: [PATCH 137/986] [SPARK-41532][DOCS][FOLLOWUP] Regenerate
 `sql-error-conditions-connect-error-class.md`

### What changes were proposed in this pull request?
This pr aims to regenerate `sql-error-conditions-connect-error-class.md` to make `SparkThrowableSuite` test pass after https://github.com/apache/spark/pull/42256 merged.

### Why are the changes needed?
Make Github Actions pass.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual check:

```
build/sbt "core/testOnly *SparkThrowableSuite"
```

**Before**

```
[info] SparkThrowableSuite:
[info] - No duplicate error classes (27 milliseconds)
[info] - Error classes are correctly formatted (63 milliseconds)
[info] - SQLSTATE invariants (43 milliseconds)
[info] - Message invariants (13 milliseconds)
[info] - Message format invariants (19 milliseconds)
[info] - Error classes match with document *** FAILED *** (41 milliseconds)
[info]   "...nect plugin: `<msg>`[
[info]
[info]   ## SESSION_NOT_SAME
[info]
[info]   Both Datasets must belong to the same SparkSession.]" did not equal "...nect plugin: `<msg>`[]" The error class document is not up to date. Please regenerate it. (SparkThrowableSuite.scala:300)
[info]   Analysis:
[info]   "...nect plugin: `<msg>`[
[info]
[info] ## SESSION_NOT_SAME
[info]
[info] Both Datasets must belong to the same SparkSession.]" -> "...nect plugin: `<msg>`[]"
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.SparkThrowableSuite.$anonfun$new$30(SparkThrowableSuite.scala:300)
[info]   at scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:400)
[info]   at scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:728)
[info]   at scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:728)
[info]   at org.apache.spark.SparkThrowableSuite.$anonfun$new$21(SparkThrowableSuite.scala:259)
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:431)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Suite.run(Suite.scala:1114)
[info]   at org.scalatest.Suite.run$(Suite.scala:1096)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:69)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:414)
[info]   at java.util.concurrent.FutureTask.run(FutureTask.java:266)
[info]   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info]   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info]   at java.lang.Thread.run(Thread.java:750)
[info] - Round trip (24 milliseconds)
[info] - Error class names should contain only capital letters, numbers and underscores (6 milliseconds)
[info] - Check if error class is missing (16 milliseconds)
[info] - Check if message parameters match message format (4 milliseconds)
[info] - Error message is formatted (0 milliseconds)
[info] - Error message does not do substitution on values (0 milliseconds)
[info] - Try catching legacy SparkError (1 millisecond)
[info] - Try catching SparkError with error class (0 milliseconds)
[info] - Try catching internal SparkError (1 millisecond)
[info] - Get message in the specified format (25 milliseconds)
[info] - overwrite error classes (72 milliseconds)
[info] - prohibit dots in error class names (22 milliseconds)
[info] Run completed in 1 second, 601 milliseconds.
[info] Total number of tests run: 18
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 17, failed 1, canceled 0, ignored 0, pending 0
[info] *** 1 TEST FAILED ***
```

**After**

```
[info] SparkThrowableSuite:
[info] - No duplicate error classes (27 milliseconds)
[info] - Error classes are correctly formatted (57 milliseconds)
[info] - SQLSTATE invariants (42 milliseconds)
[info] - Message invariants (12 milliseconds)
[info] - Message format invariants (20 milliseconds)
[info] - Error classes match with document (48 milliseconds)
[info] - Round trip (27 milliseconds)
[info] - Error class names should contain only capital letters, numbers and underscores (8 milliseconds)
[info] - Check if error class is missing (21 milliseconds)
[info] - Check if message parameters match message format (4 milliseconds)
[info] - Error message is formatted (1 millisecond)
[info] - Error message does not do substitution on values (0 milliseconds)
[info] - Try catching legacy SparkError (1 millisecond)
[info] - Try catching SparkError with error class (0 milliseconds)
[info] - Try catching internal SparkError (0 milliseconds)
[info] - Get message in the specified format (5 milliseconds)
[info] - overwrite error classes (89 milliseconds)
[info] - prohibit dots in error class names (24 milliseconds)
[info] Run completed in 1 second, 584 milliseconds.
[info] Total number of tests run: 18
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 18, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.

```

Closes #42293 from LuciferYang/SPARK-41532-FOLLOWUP.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit e326b9b6565b1e2b697d41714060e2ff9e424514)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 docs/sql-error-conditions-connect-error-class.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/sql-error-conditions-connect-error-class.md b/docs/sql-error-conditions-connect-error-class.md
index 1371e36144eb4..b110fb9834378 100644
--- a/docs/sql-error-conditions-connect-error-class.md
+++ b/docs/sql-error-conditions-connect-error-class.md
@@ -41,4 +41,8 @@ Cannot instantiate Spark Connect plugin because `<cls>` is missing a default con
 
 Error instantiating Spark Connect plugin: `<msg>`
 
+## SESSION_NOT_SAME
+
+Both Datasets must belong to the same SparkSession.
+
 

From 1d43683c5f0ad1aed25cfd9d4361fed866b3d1af Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 2 Aug 2023 15:07:12 -0400
Subject: [PATCH 138/986] [SPARK-44637][CONNECT] Synchronize accesses to
 ExecuteResponseObserver

### What changes were proposed in this pull request?

Function `removeResponsesUntilId` is used by `ReleaseExecute` RPC, and that needs to be synchronized against `removeCachedResponses` running from `consumeResponse` for `ExecutePlan` or `ReattachExecute` RPC.

In general, all public accesses to ExecuteResponseObserver should best be synchronized.

### Why are the changes needed?

Fix synchronization bug caught by testing of python client.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Caught in https://github.com/apache/spark/pull/42235, but want to fix separately because this is a server side change.

Closes #42299 from juliuszsompolski/SPARK-44637.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 26c7e55f19993ef265b8730503c1ffa4ee697347)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/connect/execution/ExecuteResponseObserver.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index 5966e6cf0fc3d..8af0f72b8dafe 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -179,7 +179,7 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
   }
 
   /** Get the index in the stream for given response id. */
-  def getResponseIndexById(responseId: String): Long = {
+  def getResponseIndexById(responseId: String): Long = synchronized {
     responseIdToIndex.getOrElse(
       responseId,
       throw new SparkSQLException(
@@ -188,7 +188,7 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
   }
 
   /** Remove cached responses up to and including response with given id. */
-  def removeResponsesUntilId(responseId: String): Unit = {
+  def removeResponsesUntilId(responseId: String): Unit = synchronized {
     val index = getResponseIndexById(responseId)
     removeResponsesUntilIndex(index)
   }

From fde43c94ee4e3bf9e95166de7387c0ec925984e6 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 2 Aug 2023 15:18:08 -0400
Subject: [PATCH 139/986] [SPARK-44421][FOLLOWUP] Minor rename of
 ResponseComplete to ResultComplete

### What changes were proposed in this pull request?

In an earlier draft, the message was ResponseComplete. Missed renaming it in a few places.

### Why are the changes needed?

Minor followup cleanup.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

No code semantics changes, just rename.

Closes #42300 from juliuszsompolski/SPARK-44421-followup.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 6882482fcdfb438c3b5a0b1b2ece58658ac1f0e7)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../ExecutePlanResponseReattachableIterator.scala  | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 00787b8f94d63..008b3c3dd5c71 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -85,10 +85,10 @@ class ExecutePlanResponseReattachableIterator(
   // ResponseId of the last response returned by next()
   private var lastReturnedResponseId: Option[String] = None
 
-  // True after ResponseComplete message was seen in the stream.
+  // True after ResultComplete message was seen in the stream.
   // Server will always send this message at the end of the stream, if the underlying iterator
   // finishes without producing one, another iterator needs to be reattached.
-  private var responseComplete: Boolean = false
+  private var resultComplete: Boolean = false
 
   // Initial iterator comes from ExecutePlan request.
   // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
@@ -97,7 +97,7 @@ class ExecutePlanResponseReattachableIterator(
     rawBlockingStub.executePlan(initialRequest)
 
   override def next(): proto.ExecutePlanResponse = synchronized {
-    // hasNext will trigger reattach in case the stream completed without responseComplete
+    // hasNext will trigger reattach in case the stream completed without resultComplete
     if (!hasNext()) {
       throw new java.util.NoSuchElementException()
     }
@@ -118,7 +118,7 @@ class ExecutePlanResponseReattachableIterator(
     // Record last returned response, to know where to restart in case of reattach.
     lastReturnedResponseId = Some(ret.getResponseId)
     if (ret.hasResultComplete) {
-      responseComplete = true
+      resultComplete = true
       releaseExecute(None) // release all
     } else {
       releaseExecute(lastReturnedResponseId) // release until this response
@@ -127,7 +127,7 @@ class ExecutePlanResponseReattachableIterator(
   }
 
   override def hasNext(): Boolean = synchronized {
-    if (responseComplete) {
+    if (resultComplete) {
       // After response complete response
       return false
     }
@@ -144,10 +144,10 @@ class ExecutePlanResponseReattachableIterator(
       // Graceful reattach:
       // If iterator ended, but there was no ResultComplete, it means that there is more,
       // and we need to reattach.
-      if (!hasNext && !responseComplete) {
+      if (!hasNext && !resultComplete) {
         do {
           iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
-          assert(!responseComplete) // shouldn't change...
+          assert(!resultComplete) // shouldn't change...
           hasNext = iterator.hasNext()
           // It's possible that the new iterator will be empty, so we need to loop to get another.
           // Eventually, there will be a non empty iterator, because there's always a ResultComplete

From fe3754afcfe50032a4bf9fabf46dcdea47860626 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Wed, 2 Aug 2023 14:28:30 -0700
Subject: [PATCH 140/986] [SPARK-44559][PYTHON][3.5] Improve error messages for
 Python UDTF arrow cast

### What changes were proposed in this pull request?
This PR cherry-picks https://github.com/apache/spark/commit/5384f4601a4ba8daba76d67e945eaa6fc2b70b2c. It improves error messages when the output of an arrow-optimized Python UDTF cannot be casted to the specified return schema of the UDTF.

### Why are the changes needed?
To make Python UDTFs more user-friendly.

### Does this PR introduce _any_ user-facing change?

Yes, before this PR, when the output of a UDTF fails to cast to the desired schema, Spark will throw this confusing error message:
```python
udtf(returnType="x: int")
class TestUDTF:
    def eval(self):
        yield [1, 2],

TestUDTF().collect()
```

```
  File "pyarrow/array.pxi", line 1044, in pyarrow.lib.Array.from_pandas
  File "pyarrow/array.pxi", line 316, in pyarrow.lib.array
  File "pyarrow/array.pxi", line 83, in pyarrow.lib._ndarray_to_array
  File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Could not convert [1, 2] with type list: tried to convert to int32
```
Now, after this PR, the error message will look like this:
`pyspark.errors.exceptions.base.PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'x' with type 'object' to the specified return type of the column: 'int32'. Please check if the data types match and try again.
`

### How was this patch tested?

New unit tests

Closes #42290 from allisonwang-db/spark-44559-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/pyspark/errors/error_classes.py   |   5 +
 python/pyspark/sql/pandas/serializers.py |  69 +++++-
 python/pyspark/sql/tests/test_udtf.py    | 259 +++++++++++++++++++++++
 3 files changed, 332 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 554a25952b9b9..db80705e7d2da 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -713,6 +713,11 @@
       "Expected <expected> values for `<item>`, got <actual>."
     ]
   },
+  "UDTF_ARROW_TYPE_CAST_ERROR" : {
+    "message" : [
+      "Cannot convert the output value of the column '<col_name>' with type '<col_type>' to the specified return type of the column: '<arrow_type>'. Please check if the data types match and try again."
+    ]
+  },
   "UDTF_EXEC_ERROR" : {
     "message" : [
       "User defined table function encountered an error in the '<method_name>' method: <error>"
diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index 1d326928e2327..993bacbed67ba 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -19,7 +19,7 @@
 Serializers for PyArrow and pandas conversions. See `pyspark.serializers` for more details.
 """
 
-from pyspark.errors import PySparkTypeError, PySparkValueError
+from pyspark.errors import PySparkRuntimeError, PySparkTypeError, PySparkValueError
 from pyspark.serializers import Serializer, read_int, write_int, UTF8Deserializer, CPickleSerializer
 from pyspark.sql.pandas.types import (
     from_arrow_type,
@@ -538,6 +538,73 @@ def _create_batch(self, series):
 
         return pa.RecordBatch.from_arrays(arrs, ["_%d" % i for i in range(len(arrs))])
 
+    def _create_array(self, series, arrow_type, spark_type=None, arrow_cast=False):
+        """
+        Override the `_create_array` method in the superclass to create an Arrow Array
+        from a given pandas.Series and an arrow type. The difference here is that we always
+        use arrow cast when creating the arrow array. Also, the error messages are specific
+        to arrow-optimized Python UDTFs.
+
+        Parameters
+        ----------
+        series : pandas.Series
+            A single series
+        arrow_type : pyarrow.DataType, optional
+            If None, pyarrow's inferred type will be used
+        spark_type : DataType, optional
+            If None, spark type converted from arrow_type will be used
+        arrow_cast: bool, optional
+            Whether to apply Arrow casting when the user-specified return type mismatches the
+            actual return values.
+
+        Returns
+        -------
+        pyarrow.Array
+        """
+        import pyarrow as pa
+        from pandas.api.types import is_categorical_dtype
+
+        if is_categorical_dtype(series.dtype):
+            series = series.astype(series.dtypes.categories.dtype)
+
+        if arrow_type is not None:
+            dt = spark_type or from_arrow_type(arrow_type, prefer_timestamp_ntz=True)
+            # TODO(SPARK-43579): cache the converter for reuse
+            conv = _create_converter_from_pandas(
+                dt, timezone=self._timezone, error_on_duplicated_field_names=False
+            )
+            series = conv(series)
+
+        if hasattr(series.array, "__arrow_array__"):
+            mask = None
+        else:
+            mask = series.isnull()
+
+        try:
+            try:
+                return pa.Array.from_pandas(
+                    series, mask=mask, type=arrow_type, safe=self._safecheck
+                )
+            except pa.lib.ArrowException:
+                if arrow_cast:
+                    return pa.Array.from_pandas(series, mask=mask).cast(
+                        target_type=arrow_type, safe=self._safecheck
+                    )
+                else:
+                    raise
+        except pa.lib.ArrowException:
+            # Display the most user-friendly error messages instead of showing
+            # arrow's error message. This also works better with Spark Connect
+            # where the exception messages are by default truncated.
+            raise PySparkRuntimeError(
+                error_class="UDTF_ARROW_TYPE_CAST_ERROR",
+                message_parameters={
+                    "col_name": series.name,
+                    "col_type": str(series.dtype),
+                    "arrow_type": arrow_type,
+                },
+            ) from None
+
     def __repr__(self):
         return "ArrowStreamPandasUDTFSerializer"
 
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index b3e832b8b973e..5c33cb148341a 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -518,6 +518,130 @@ def eval(self):
 
         assertDataFrameEqual(TestUDTF(), [Row()])
 
+    def _check_result_or_exception(self, func_handler, ret_type, expected):
+        func = udtf(func_handler, returnType=ret_type)
+        if not isinstance(expected, str):
+            assertDataFrameEqual(func(), expected)
+        else:
+            with self.assertRaisesRegex(PythonException, expected):
+                func().collect()
+
+    def test_numeric_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+
+        for i, (ret_type, expected) in enumerate(
+            [
+                ("x: boolean", [Row(x=None)]),
+                ("x: tinyint", [Row(x=1)]),
+                ("x: smallint", [Row(x=1)]),
+                ("x: int", [Row(x=1)]),
+                ("x: bigint", [Row(x=1)]),
+                ("x: string", [Row(x="1")]),  # int to string is ok, but string to int is None
+                (
+                    "x: date",
+                    "AttributeError",
+                ),  # AttributeError: 'int' object has no attribute 'toordinal'
+                (
+                    "x: timestamp",
+                    "AttributeError",
+                ),  # AttributeError: 'int' object has no attribute 'tzinfo'
+                ("x: byte", [Row(x=1)]),
+                ("x: binary", [Row(x=None)]),
+                ("x: float", [Row(x=None)]),
+                ("x: double", [Row(x=None)]),
+                ("x: decimal(10, 0)", [Row(x=None)]),
+                ("x: array<int>", [Row(x=None)]),
+                ("x: map<string,int>", [Row(x=None)]),
+                ("x: struct<a:int>", "UNEXPECTED_TUPLE_WITH_STRUCT"),
+            ]
+        ):
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_numeric_string_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield "1",
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=None)]),
+            ("x: tinyint", [Row(x=None)]),
+            ("x: smallint", [Row(x=None)]),
+            ("x: int", [Row(x=None)]),
+            ("x: bigint", [Row(x=None)]),
+            ("x: string", [Row(x="1")]),
+            ("x: date", "AttributeError"),
+            ("x: timestamp", "AttributeError"),
+            ("x: byte", [Row(x=None)]),
+            ("x: binary", [Row(x=bytearray(b"1"))]),
+            ("x: float", [Row(x=None)]),
+            ("x: double", [Row(x=None)]),
+            ("x: decimal(10, 0)", [Row(x=None)]),
+            ("x: array<int>", [Row(x=None)]),
+            ("x: map<string,int>", [Row(x=None)]),
+            ("x: struct<a:int>", "UNEXPECTED_TUPLE_WITH_STRUCT"),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_string_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield "hello",
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=None)]),
+            ("x: tinyint", [Row(x=None)]),
+            ("x: smallint", [Row(x=None)]),
+            ("x: int", [Row(x=None)]),
+            ("x: bigint", [Row(x=None)]),
+            ("x: string", [Row(x="hello")]),
+            ("x: date", "AttributeError"),
+            ("x: timestamp", "AttributeError"),
+            ("x: byte", [Row(x=None)]),
+            ("x: binary", [Row(x=bytearray(b"hello"))]),
+            ("x: float", [Row(x=None)]),
+            ("x: double", [Row(x=None)]),
+            ("x: decimal(10, 0)", [Row(x=None)]),
+            ("x: array<int>", [Row(x=None)]),
+            ("x: map<string,int>", [Row(x=None)]),
+            ("x: struct<a:int>", "UNEXPECTED_TUPLE_WITH_STRUCT"),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_array_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield [1, 2],
+
+        for ret_type, expected in [
+            ("x: int", [Row(x=None)]),
+            ("x: array<int>", [Row(x=[1, 2])]),
+            ("x: array<double>", [Row(x=[None, None])]),
+            ("x: array<string>", [Row(x=["1", "2"])]),
+            ("x: array<boolean>", [Row(x=[None, None])]),
+            ("x: array<array<int>>", [Row(x=[None, None])]),
+            ("x: map<string,int>", [Row(x=None)]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_inconsistent_output_types(self):
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+                yield [1, 2],
+
+        for ret_type, expected in [
+            ("x: int", [Row(x=1), Row(x=None)]),
+            ("x: array<int>", [Row(x=None), Row(x=[1, 2])]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                assertDataFrameEqual(udtf(TestUDTF, returnType=ret_type)(), expected)
+
     @unittest.skipIf(not have_pandas, pandas_requirement_message)
     def test_udtf_with_pandas_input_type(self):
         import pandas as pd
@@ -857,6 +981,141 @@ def eval(self, a: int):
         func = udtf(TestUDTF, returnType="a: int")
         self.assertEqual(func(lit(1)).collect(), [Row(a=1)])
 
+    def test_numeric_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=True)]),
+            ("x: tinyint", [Row(x=1)]),
+            ("x: smallint", [Row(x=1)]),
+            ("x: int", [Row(x=1)]),
+            ("x: bigint", [Row(x=1)]),
+            ("x: string", [Row(x="1")]),  # require arrow.cast
+            ("x: date", err),
+            ("x: byte", [Row(x=1)]),
+            ("x: binary", [Row(x=bytearray(b"\x01"))]),
+            ("x: float", [Row(x=1.0)]),
+            ("x: double", [Row(x=1.0)]),
+            ("x: decimal(10, 0)", err),
+            ("x: array<int>", err),
+            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
+            # ("x: map<string,int>", None),
+            # ("x: struct<a:int>", None)
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_numeric_string_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield "1",
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=True)]),
+            ("x: tinyint", [Row(x=1)]),
+            ("x: smallint", [Row(x=1)]),
+            ("x: int", [Row(x=1)]),
+            ("x: bigint", [Row(x=1)]),
+            ("x: string", [Row(x="1")]),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", [Row(x=1)]),
+            ("x: binary", [Row(x=bytearray(b"1"))]),
+            ("x: float", [Row(x=1.0)]),
+            ("x: double", [Row(x=1.0)]),
+            ("x: decimal(10, 0)", [Row(x=1)]),
+            ("x: array<string>", [Row(x=["1"])]),
+            ("x: array<int>", err),
+            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
+            # ("x: map<string,int>", None),
+            # ("x: struct<a:int>", None)
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_string_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield "hello",
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", [Row(x="hello")]),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", err),
+            ("x: binary", [Row(x=bytearray(b"hello"))]),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", [Row(x=["h", "e", "l", "l", "o"])]),
+            ("x: array<int>", err),
+            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
+            # ("x: map<string,int>", None),
+            # ("x: struct<a:int>", None)
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_array_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield [0, 1.1, 2],
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", err),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", err),
+            ("x: binary", err),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", [Row(x=["0", "1.1", "2"])]),
+            ("x: array<boolean>", [Row(x=[False, True, True])]),
+            ("x: array<int>", [Row(x=[0, 1, 2])]),
+            ("x: array<float>", [Row(x=[0, 1.1, 2])]),
+            ("x: array<array<int>>", err),
+            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
+            # ("x: map<string,int>", None),
+            # ("x: struct<a:int>", None)
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_inconsistent_output_types(self):
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+                yield [1, 2],
+
+        for ret_type in [
+            "x: int",
+            "x: array<int>",
+        ]:
+            with self.subTest(ret_type=ret_type):
+                with self.assertRaisesRegex(PythonException, "UDTF_ARROW_TYPE_CAST_ERROR"):
+                    udtf(TestUDTF, returnType=ret_type)().collect()
+
 
 class UDTFArrowTests(UDTFArrowTestsMixin, ReusedSQLTestCase):
     @classmethod

From ae1a5c9b86f81dfed7471bda6db48f04eb6906ae Mon Sep 17 00:00:00 2001
From: Alice Sayutina <alice.sayutina@databricks.com>
Date: Wed, 2 Aug 2023 17:41:47 -0400
Subject: [PATCH 141/986] [SPARK-44636][CONNECT] Leave no dangling iterators

### What changes were proposed in this pull request?
Minorly refactored execute functions to not leave dangling iterators

(Note: we also should do that with SparkResult, however in almost all cases there should be no problem with iterators not consumed).

### Why are the changes needed?

Needed for ongoing work regarding session reattachment.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
This is intended to be tested after session reattachment is complete (cc juliuszsompolski).

Closes #42298 from cdkrot/dangling_iterators.

Lead-authored-by: Alice Sayutina <alice.sayutina@databricks.com>
Co-authored-by: Alice Sayutina <cdkrot0@gmail.com>
Co-authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 784f1d0da7f9d96bbc8ab2dda9d9556691012e17)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/SparkSession.scala   | 25 +++++++++++--------
 .../connect/client/SparkConnectClient.scala   |  6 +++++
 .../client/SparkConnectClientSuite.scala      | 19 ++++++++++++++
 3 files changed, 40 insertions(+), 10 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index a3d82156a03c9..59f3f3526ab2f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -252,10 +252,12 @@ class SparkSession private[sql] (
           .setSql(sqlText)
           .addAllPosArgs(args.map(toLiteralProto).toIterable.asJava)))
     val plan = proto.Plan.newBuilder().setCommand(cmd)
-    val responseIter = client.execute(plan.build())
+    val responseSeq = client.execute(plan.build()).asScala.toSeq
 
-    // Note: .toSeq makes the stream be consumed and closed.
-    val response = responseIter.asScala.toSeq
+    // sequence is a lazy stream, force materialize it to make sure it is consumed.
+    responseSeq.foreach(_ => ())
+
+    val response = responseSeq
       .find(_.hasSqlCommandResult)
       .getOrElse(throw new RuntimeException("SQLCommandResult must be present"))
 
@@ -309,10 +311,12 @@ class SparkSession private[sql] (
             .setSql(sqlText)
             .putAllArgs(args.asScala.mapValues(toLiteralProto).toMap.asJava)))
       val plan = proto.Plan.newBuilder().setCommand(cmd)
-      val responseIter = client.execute(plan.build())
+      val responseSeq = client.execute(plan.build()).asScala.toSeq
+
+      // sequence is a lazy stream, force materialize it to make sure it is consumed.
+      responseSeq.foreach(_ => ())
 
-      // Note: .toSeq makes the stream be consumed and closed.
-      val response = responseIter.asScala.toSeq
+      val response = responseSeq
         .find(_.hasSqlCommandResult)
         .getOrElse(throw new RuntimeException("SQLCommandResult must be present"))
 
@@ -549,14 +553,15 @@ class SparkSession private[sql] (
 
   private[sql] def execute(command: proto.Command): Seq[ExecutePlanResponse] = {
     val plan = proto.Plan.newBuilder().setCommand(command).build()
-    client.execute(plan).asScala.toSeq
+    val seq = client.execute(plan).asScala.toSeq
+    // sequence is a lazy stream, force materialize it to make sure it is consumed.
+    seq.foreach(_ => ())
+    seq
   }
 
   private[sql] def registerUdf(udf: proto.CommonInlineUserDefinedFunction): Unit = {
     val command = proto.Command.newBuilder().setRegisterFunction(udf).build()
-    val plan = proto.Plan.newBuilder().setCommand(command).build()
-
-    client.execute(plan).asScala.foreach(_ => ())
+    execute(command)
   }
 
   @DeveloperApi
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index aac5e6b9cc33a..3d20be88888c3 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -72,6 +72,12 @@ private[sql] class SparkConnectClient(
     bstub.analyzePlan(request)
   }
 
+  /**
+   * Execute the plan and return response iterator.
+   *
+   * It returns an open iterator. The caller needs to ensure that this iterator is fully consumed,
+   * otherwise resources held by a re-attachable query may be left dangling until server timeout.
+   */
   def execute(plan: proto.Plan): java.util.Iterator[proto.ExecutePlanResponse] = {
     artifactManager.uploadAllClassFileArtifacts()
     val request = proto.ExecutePlanRequest
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index ec447cac8698d..3436037809dbc 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -16,6 +16,7 @@
  */
 package org.apache.spark.sql.connect.client
 
+import java.util.UUID
 import java.util.concurrent.TimeUnit
 
 import scala.collection.JavaConverters._
@@ -292,12 +293,30 @@ class DummySparkConnectService() extends SparkConnectServiceGrpc.SparkConnectSer
       responseObserver: StreamObserver[ExecutePlanResponse]): Unit = {
     // Reply with a dummy response using the same client ID
     val requestSessionId = request.getSessionId
+    val operationId = if (request.hasOperationId) {
+      request.getOperationId
+    } else {
+      UUID.randomUUID().toString
+    }
     inputPlan = request.getPlan
     val response = ExecutePlanResponse
       .newBuilder()
       .setSessionId(requestSessionId)
+      .setOperationId(operationId)
       .build()
     responseObserver.onNext(response)
+    // Reattachable execute must end with ResultComplete
+    if (request.getRequestOptionsList.asScala.exists { option =>
+        option.hasReattachOptions && option.getReattachOptions.getReattachable == true
+      }) {
+      val resultComplete = ExecutePlanResponse
+        .newBuilder()
+        .setSessionId(requestSessionId)
+        .setOperationId(operationId)
+        .setResultComplete(proto.ExecutePlanResponse.ResultComplete.newBuilder().build())
+        .build()
+      responseObserver.onNext(resultComplete)
+    }
     responseObserver.onCompleted()
   }
 

From 02dc372314f4018be3c432f0334231c36da8a948 Mon Sep 17 00:00:00 2001
From: bogao007 <bo.gao@databricks.com>
Date: Thu, 3 Aug 2023 06:53:52 +0900
Subject: [PATCH 142/986] [SPARK-44626][SS][CONNECT] Followup on streaming
 query termination when client session is timed out for Spark Connect

### What changes were proposed in this pull request?

Removed keep alive feature in `SparkConnectStreamingQueryCache` so that the session mapping of running queries can expire after a client session times out. This is needed for a change to terminate the query when client session is timed out.

### Why are the changes needed?

This is a followup of https://issues.apache.org/jira/browse/SPARK-44432. Without removing the keep alive feature, the session mapping for running queries cannot expire correctly since it would be accessed periodically

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Did manual testing and verified the change is working as expected. Adding unit test is kind of hard since the session mapping logic cannot be easily mocked. We want to get this checked in with Spark 3.5 asap and this is already verified with a manual testing.

Create a streaming query on client side and then disconnect:
```
 val q = spark.readStream.format("rate").load().writeStream.format("console").start()

 exit
```

Validate on server side that the running query is stopped after a while:
```
23/08/01 13:26:34 INFO SparkConnectStreamingQueryCache: Stopping the query with id 787cdaed-0e6a-4496-a4a3-78b77789193b since the session has timed out
23/08/01 13:26:34 INFO DAGScheduler: Asked to cancel job group c615e5a7-78ff-462b-b24c-bba55259f8f5
23/08/01 13:26:34 INFO MicroBatchExecution: Async log purge executor pool for query [id = 787cdaed-0e6a-4496-a4a3-78b77789193b, runId = c615e5a7-78ff-462b-b24c-bba55259f8f5] has been shutdown
23/08/01 13:26:34 INFO MicroBatchExecution: Deleting checkpoint file:/private/var/folders/b0/f9jmmrrx5js7xsswxyf58nwr0000gp/T/temporary-05b9e890-ec53-45df-a3ca-65c4c01a143d.
23/08/01 13:26:34 INFO DAGScheduler: Asked to cancel job group c615e5a7-78ff-462b-b24c-bba55259f8f5
23/08/01 13:26:34 INFO MicroBatchExecution: Query [id = 787cdaed-0e6a-4496-a4a3-78b77789193b, runId = c615e5a7-78ff-462b-b24c-bba55259f8f5] was stopped
```

Closes #42280 from bogao007/terminate-followup.

Authored-by: bogao007 <bo.gao@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 79938ee2a717d5384eface254f376169e9e5bf64)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/service/SparkConnectService.scala |  5 +--
 .../SparkConnectStreamingQueryCache.scala     | 45 +++++++------------
 ...SparkConnectStreamingQueryCacheSuite.scala | 21 ++-------
 3 files changed, 21 insertions(+), 50 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 5f60f4b1f37d9..6e607037e6c69 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -278,10 +278,7 @@ object SparkConnectService extends Logging {
     cacheBuilder(CACHE_SIZE, CACHE_TIMEOUT_SECONDS).build[SessionCacheKey, SessionHolder]()
 
   private[connect] val streamingSessionManager =
-    new SparkConnectStreamingQueryCache(sessionKeepAliveFn = { case (userId, sessionId) =>
-      // Use getIfPresent() rather than get() to prevent accidental loading.
-      userSessionMapping.getIfPresent((userId, sessionId))
-    })
+    new SparkConnectStreamingQueryCache()
 
   private class RemoveSessionListener extends RemovalListener[SessionCacheKey, SessionHolder] {
     override def onRemoval(
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
index 21a65d4ed999a..1b834648c5154 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
@@ -38,13 +38,10 @@ import org.apache.spark.util.SystemClock
  * no longer active), it is cached for 1 hour so that it is accessible from the client side. It
  * runs a background thread to run a periodic task that does the following:
  *   - Check the status of the queries, and drops those that expired (1 hour after being stopped).
- *   - Keep the associated session active by invoking supplied function `sessionKeepAliveFn`.
  *
  * This class helps with supporting following semantics for streaming query sessions:
- *   - Keep the session and session mapping at connect server alive as long as a streaming query
- *     is active. Even if the client side has disconnected.
- *     - This matches how streaming queries behave in Spark. The queries continue to run if
- *       notebook or job session is lost.
+ *   - If the session mapping on connect server side is expired, stop all the running queries that
+ *     are associated with that session.
  *   - Once a query is stopped, the reference and mappings are maintained for 1 hour and will be
  *     accessible from the client. This allows time for client to fetch status. If the client
  *     continues to access the query, it stays in the cache until 1 hour of inactivity.
@@ -52,7 +49,6 @@ import org.apache.spark.util.SystemClock
  * Note that these semantics are evolving and might change before being finalized in Connect.
  */
 private[connect] class SparkConnectStreamingQueryCache(
-    val sessionKeepAliveFn: (String, String) => Unit, // (userId, sessionId) => Unit.
     val clock: Clock = new SystemClock(),
     private val stoppedQueryInactivityTimeout: Duration = 1.hour, // Configurable for testing.
     private val sessionPollingPeriod: Duration = 1.minute // Configurable for testing.
@@ -71,11 +67,11 @@ private[connect] class SparkConnectStreamingQueryCache(
 
       queryCache.put(QueryCacheKey(query.id.toString, query.runId.toString), value) match {
         case Some(existing) => // Query is being replace. Not really expected.
-          log.warn(
+          logWarning(
             s"Replacing existing query in the cache (unexpected). Query Id: ${query.id}." +
               s"Existing value $existing, new value $value.")
         case None =>
-          log.info(s"Adding new query to the cache. Query Id ${query.id}, value $value.")
+          logInfo(s"Adding new query to the cache. Query Id ${query.id}, value $value.")
       }
 
       schedulePeriodicChecks() // Starts the scheduler thread if it hasn't started.
@@ -108,13 +104,17 @@ private[connect] class SparkConnectStreamingQueryCache(
   }
 
   /**
-   * Terminate all the running queries attached to the given sessionHolder. This is used when
-   * session is expired and we need to cleanup resources of that session.
+   * Terminate all the running queries attached to the given sessionHolder and remove them from
+   * the queryCache. This is used when session is expired and we need to cleanup resources of that
+   * session.
    */
   def cleanupRunningQueries(sessionHolder: SessionHolder): Unit = {
     for ((k, v) <- queryCache) {
       if (v.userId.equals(sessionHolder.userId) && v.sessionId.equals(sessionHolder.sessionId)) {
-        v.query.stop()
+        if (v.query.isActive && Option(v.session.streams.get(k.queryId)).nonEmpty) {
+          logInfo(s"Stopping the query with id ${k.queryId} since the session has timed out")
+          v.query.stop()
+        }
       }
     }
   }
@@ -144,13 +144,13 @@ private[connect] class SparkConnectStreamingQueryCache(
     scheduledExecutor match {
       case Some(_) => // Already running.
       case None =>
-        log.info(s"Starting thread for polling streaming sessions every $sessionPollingPeriod")
+        logInfo(s"Starting thread for polling streaming sessions every $sessionPollingPeriod")
         scheduledExecutor = Some(Executors.newSingleThreadScheduledExecutor())
         scheduledExecutor.get.scheduleAtFixedRate(
           () => {
             try periodicMaintenance()
             catch {
-              case NonFatal(ex) => log.warn("Unexpected exception in periodic task", ex)
+              case NonFatal(ex) => logWarning("Unexpected exception in periodic task", ex)
             }
           },
           sessionPollingPeriod.toMillis,
@@ -163,14 +163,9 @@ private[connect] class SparkConnectStreamingQueryCache(
    * Periodic maintenance task to do the following:
    *   - Update status of query if it is inactive. Sets an expiry time for such queries
    *   - Drop expired queries from the cache.
-   *   - Poll sessions associated with the cached queries in order keep them alive in connect
-   *     service' mapping (by invoking `sessionKeepAliveFn`).
    */
   private def periodicMaintenance(): Unit = {
 
-    // Gather sessions to keep alive and invoke supplied function outside the lock.
-    val sessionsToKeepAlive = mutable.HashSet[(String, String)]()
-
     queryCacheLock.synchronized {
       val nowMs = clock.getTimeMillis()
 
@@ -179,29 +174,23 @@ private[connect] class SparkConnectStreamingQueryCache(
         v.expiresAtMs match {
 
           case Some(ts) if nowMs >= ts => // Expired. Drop references.
-            log.info(s"Removing references for $id in session ${v.sessionId} after expiry period")
+            logInfo(s"Removing references for $id in session ${v.sessionId} after expiry period")
             queryCache.remove(k)
 
-          case Some(_) => // Inactive query waiting for expiration. Keep the session alive.
-            sessionsToKeepAlive.add((v.userId, v.sessionId))
+          case Some(_) => // Inactive query waiting for expiration. Do nothing.
+            logInfo(s"Waiting for the expiration for $id in session ${v.sessionId}")
 
           case None => // Active query, check if it is stopped. Keep the session alive.
-            sessionsToKeepAlive.add((v.userId, v.sessionId))
-
             val isActive = v.query.isActive && Option(v.session.streams.get(id)).nonEmpty
 
             if (!isActive) {
-              log.info(s"Marking query $id in session ${v.sessionId} inactive.")
+              logInfo(s"Marking query $id in session ${v.sessionId} inactive.")
               val expiresAtMs = nowMs + stoppedQueryInactivityTimeout.toMillis
               queryCache.put(k, v.copy(expiresAtMs = Some(expiresAtMs)))
             }
         }
       }
     }
-
-    for ((userId, sessionId) <- sessionsToKeepAlive) {
-      sessionKeepAliveFn(userId, sessionId)
-    }
   }
 }
 
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
index 4251d2badb951..ed3da2c0f7156 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCacheSuite.scala
@@ -18,11 +18,10 @@
 package org.apache.spark.sql.connect.service
 
 import java.util.UUID
-import java.util.concurrent.atomic.AtomicInteger
 
 import scala.concurrent.duration.DurationInt
 
-import org.mockito.Mockito.{verify, when}
+import org.mockito.Mockito.when
 import org.scalatest.concurrent.Eventually.eventually
 import org.scalatest.concurrent.Futures.timeout
 import org.scalatestplus.mockito.MockitoSugar
@@ -36,9 +35,8 @@ import org.apache.spark.util.ManualClock
 class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSugar {
 
   // Creates a manager with short durations for periodic check and expiry.
-  private def createSessionManager(keepAliveFn: (String, String) => Unit) = {
+  private def createSessionManager() = {
     new SparkConnectStreamingQueryCache(
-      keepAliveFn,
       clock = new ManualClock(),
       stoppedQueryInactivityTimeout = 1.minute, // This is on manual clock.
       sessionPollingPeriod = 20.milliseconds // This is real clock. Used for periodic task.
@@ -48,8 +46,6 @@ class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSug
   test("Session cache functionality with a streaming query") {
     // Verifies common happy path for the query cache. Runs a query through its life cycle.
 
-    val numKeepAliveCalls = new AtomicInteger(0)
-
     val queryId = UUID.randomUUID().toString
     val runId = UUID.randomUUID().toString
     val mockSession = mock[SparkSession]
@@ -59,11 +55,7 @@ class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSug
     val sessionHolder =
       SessionHolder(userId = "test_user_1", sessionId = "test_session_1", session = mockSession)
 
-    val sessionMgr = createSessionManager(keepAliveFn = { case (userId, sessionId) =>
-      assert(userId == sessionHolder.userId)
-      assert(sessionId == sessionHolder.sessionId)
-      numKeepAliveCalls.incrementAndGet()
-    })
+    val sessionMgr = createSessionManager()
 
     val clock = sessionMgr.clock.asInstanceOf[ManualClock]
 
@@ -77,11 +69,6 @@ class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSug
 
     sessionMgr.registerNewStreamingQuery(sessionHolder, mockQuery)
 
-    eventually(timeout(1.minute)) {
-      // Verify keep alive function is called a few times.
-      assert(numKeepAliveCalls.get() >= 5)
-    }
-
     sessionMgr.getCachedValue(queryId, runId) match {
       case Some(v) =>
         assert(v.sessionId == sessionHolder.sessionId)
@@ -96,8 +83,6 @@ class SparkConnectStreamingQueryCacheSuite extends SparkFunSuite with MockitoSug
     assert(sessionMgr.getCachedQuery(queryId, runId, mockSession).contains(mockQuery))
 
     // Cleanup the query and verify if stop() method has been called.
-    sessionMgr.cleanupRunningQueries(sessionHolder)
-    verify(mockQuery).stop()
     when(mockQuery.isActive).thenReturn(false)
 
     val expectedExpiryTimeMs = sessionMgr.clock.getTimeMillis() + 1.minute.toMillis

From 54a16da19c162651f9ee068d40529308f780bff2 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 3 Aug 2023 08:11:02 +0900
Subject: [PATCH 143/986] [SPARK-44424][CONNECT][PYTHON] Python client for
 reattaching to existing execute in Spark Connect

### What changes were proposed in this pull request?

This PR proposes to implement the Python client side for https://github.com/apache/spark/pull/42228.

Basically this PR applies the same changes of `ExecutePlanResponseReattachableIterator`, and `SparkConnectClient` to PySpark as  the symmetry.

### Why are the changes needed?

To enable the same feature in https://github.com/apache/spark/pull/42228

### Does this PR introduce _any_ user-facing change?

Yes, see https://github.com/apache/spark/pull/42228.

### How was this patch tested?

Existing unittests because it enables the feature by default. Also, manual E2E tests.

Closes #42235 from HyukjinKwon/SPARK-44599.

Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 68d8e65c7829a4a41f8c159c9b30c34cd623da47)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py     | 207 +++++++++------
 python/pyspark/sql/connect/client/reattach.py | 237 ++++++++++++++++++
 python/pyspark/sql/connect/session.py         |   2 +-
 python/pyspark/sql/session.py                 |   2 +
 .../sql/tests/connect/client/test_client.py   |  16 +-
 python/pyspark/testing/connectutils.py        |   4 +
 6 files changed, 386 insertions(+), 82 deletions(-)
 create mode 100644 python/pyspark/sql/connect/client/reattach.py

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 53d3d10d6477b..2c4e47c0c52d1 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -20,6 +20,7 @@
     "getLogLevel",
 ]
 
+from pyspark.sql.connect.client.reattach import ExecutePlanResponseReattachableIterator
 from pyspark.sql.connect.utils import check_dependencies
 
 check_dependencies(__name__)
@@ -50,6 +51,7 @@
     Generator,
     Type,
     TYPE_CHECKING,
+    Sequence,
 )
 
 import pandas as pd
@@ -558,8 +560,6 @@ def fromProto(cls, pb: pb2.ConfigResponse) -> "ConfigResult":
 class SparkConnectClient(object):
     """
     Conceptually the remote spark session that communicates with the server
-
-    .. versionadded:: 3.4.0
     """
 
     @classmethod
@@ -572,24 +572,40 @@ def retry_exception(cls, e: Exception) -> bool:
     def __init__(
         self,
         connection: Union[str, ChannelBuilder],
-        userId: Optional[str] = None,
-        channelOptions: Optional[List[Tuple[str, Any]]] = None,
-        retryPolicy: Optional[Dict[str, Any]] = None,
+        user_id: Optional[str] = None,
+        channel_options: Optional[List[Tuple[str, Any]]] = None,
+        retry_policy: Optional[Dict[str, Any]] = None,
+        use_reattachable_execute: bool = True,
     ):
         """
         Creates a new SparkSession for the Spark Connect interface.
 
         Parameters
         ----------
-        connection: Union[str,ChannelBuilder]
+        connection : str or :class:`ChannelBuilder`
             Connection string that is used to extract the connection parameters and configure
             the GRPC connection. Or instance of ChannelBuilder that creates GRPC connection.
             Defaults to `sc://localhost`.
-        userId : Optional[str]
+        user_id : str, optional
             Optional unique user ID that is used to differentiate multiple users and
             isolate their Spark Sessions. If the `user_id` is not set, will default to
             the $USER environment. Defining the user ID as part of the connection string
             takes precedence.
+        channel_options: list of tuple, optional
+            Additional options that can be passed to the GRPC channel construction.
+        retry_policy: dict of str and any, optional
+            Additional configuration for retrying. There are four configurations as below
+                * ``max_retries``
+                    Maximum number of tries default 15
+                * ``backoff_multiplier``
+                    Backoff multiplier for the policy. Default: 4(ms)
+                * ``initial_backoff``
+                    Backoff to wait before the first retry. Default: 50(ms)
+                * ``max_backoff``
+                    Maximum backoff controls the maximum amount of time to wait before retrying
+                    a failed request. Default: 60000(ms).
+        use_reattachable_execute: bool
+            Enable reattachable execution.
         """
         self.thread_local = threading.local()
 
@@ -597,7 +613,7 @@ def __init__(
         self._builder = (
             connection
             if isinstance(connection, ChannelBuilder)
-            else ChannelBuilder(connection, channelOptions)
+            else ChannelBuilder(connection, channel_options)
         )
         self._user_id = None
         self._retry_policy = {
@@ -606,8 +622,8 @@ def __init__(
             "initial_backoff": 50,
             "max_backoff": 60000,
         }
-        if retryPolicy:
-            self._retry_policy.update(retryPolicy)
+        if retry_policy:
+            self._retry_policy.update(retry_policy)
 
         # Generate a unique session ID for this client. This UUID must be unique to allow
         # concurrent Spark sessions of the same user. If the channel is closed, creating
@@ -615,8 +631,8 @@ def __init__(
         self._session_id = str(uuid.uuid4())
         if self._builder.userId is not None:
             self._user_id = self._builder.userId
-        elif userId is not None:
-            self._user_id = userId
+        elif user_id is not None:
+            self._user_id = user_id
         else:
             self._user_id = os.getenv("USER", None)
 
@@ -624,8 +640,17 @@ def __init__(
         self._closed = False
         self._stub = grpc_lib.SparkConnectServiceStub(self._channel)
         self._artifact_manager = ArtifactManager(self._user_id, self._session_id, self._channel)
+        self._use_reattachable_execute = use_reattachable_execute
         # Configure logging for the SparkConnect client.
 
+    def disable_reattachable_execute(self) -> "SparkConnectClient":
+        self._use_reattachable_execute = False
+        return self
+
+    def enable_reattachable_execute(self) -> "SparkConnectClient":
+        self._use_reattachable_execute = True
+        return self
+
     def register_udf(
         self,
         function: Any,
@@ -741,7 +766,7 @@ def _resources(self) -> Dict[str, ResourceInformation]:
         return resources
 
     def _build_observed_metrics(
-        self, metrics: List["pb2.ExecutePlanResponse.ObservedMetrics"]
+        self, metrics: Sequence["pb2.ExecutePlanResponse.ObservedMetrics"]
     ) -> Iterator[PlanObservedMetrics]:
         return (PlanObservedMetrics(x.name, [v for v in x.values]) for x in metrics)
 
@@ -1065,17 +1090,29 @@ def _execute(self, req: pb2.ExecutePlanRequest) -> None:
 
         """
         logger.info("Execute")
+
+        def handle_response(b: pb2.ExecutePlanResponse) -> None:
+            if b.session_id != self._session_id:
+                raise SparkConnectException(
+                    "Received incorrect session identifier for request: "
+                    f"{b.session_id} != {self._session_id}"
+                )
+
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
-                with attempt:
-                    for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
-                        if b.session_id != self._session_id:
-                            raise SparkConnectException(
-                                "Received incorrect session identifier for request: "
-                                f"{b.session_id} != {self._session_id}"
-                            )
+            if self._use_reattachable_execute:
+                # Don't use retryHandler - own retry handling is inside.
+                generator = ExecutePlanResponseReattachableIterator(
+                    req, self._stub, self._retry_policy, self._builder.metadata()
+                )
+                for b in generator:
+                    handle_response(b)
+            else:
+                for attempt in Retrying(
+                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+                ):
+                    with attempt:
+                        for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
+                            handle_response(b)
         except Exception as error:
             self._handle_error(error)
 
@@ -1092,58 +1129,77 @@ def _execute_and_fetch_as_iterator(
     ]:
         logger.info("ExecuteAndFetchAsIterator")
 
+        def handle_response(
+            b: pb2.ExecutePlanResponse,
+        ) -> Iterator[
+            Union[
+                "pa.RecordBatch",
+                StructType,
+                PlanMetrics,
+                PlanObservedMetrics,
+                Dict[str, Any],
+            ]
+        ]:
+            if b.session_id != self._session_id:
+                raise SparkConnectException(
+                    "Received incorrect session identifier for request: "
+                    f"{b.session_id} != {self._session_id}"
+                )
+            if b.HasField("metrics"):
+                logger.debug("Received metric batch.")
+                yield from self._build_metrics(b.metrics)
+            if b.observed_metrics:
+                logger.debug("Received observed metric batch.")
+                yield from self._build_observed_metrics(b.observed_metrics)
+            if b.HasField("schema"):
+                logger.debug("Received the schema.")
+                dt = types.proto_schema_to_pyspark_data_type(b.schema)
+                assert isinstance(dt, StructType)
+                yield dt
+            if b.HasField("sql_command_result"):
+                logger.debug("Received the SQL command result.")
+                yield {"sql_command_result": b.sql_command_result.relation}
+            if b.HasField("write_stream_operation_start_result"):
+                field = "write_stream_operation_start_result"
+                yield {field: b.write_stream_operation_start_result}
+            if b.HasField("streaming_query_command_result"):
+                yield {"streaming_query_command_result": b.streaming_query_command_result}
+            if b.HasField("streaming_query_manager_command_result"):
+                cmd_result = b.streaming_query_manager_command_result
+                yield {"streaming_query_manager_command_result": cmd_result}
+            if b.HasField("get_resources_command_result"):
+                resources = {}
+                for key, resource in b.get_resources_command_result.resources.items():
+                    name = resource.name
+                    addresses = [address for address in resource.addresses]
+                    resources[key] = ResourceInformation(name, addresses)
+                yield {"get_resources_command_result": resources}
+            if b.HasField("arrow_batch"):
+                logger.debug(
+                    f"Received arrow batch rows={b.arrow_batch.row_count} "
+                    f"size={len(b.arrow_batch.data)}"
+                )
+
+                with pa.ipc.open_stream(b.arrow_batch.data) as reader:
+                    for batch in reader:
+                        assert isinstance(batch, pa.RecordBatch)
+                        yield batch
+
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
-                with attempt:
-                    for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
-                        if b.session_id != self._session_id:
-                            raise SparkConnectException(
-                                "Received incorrect session identifier for request: "
-                                f"{b.session_id} != {self._session_id}"
-                            )
-                        if b.HasField("metrics"):
-                            logger.debug("Received metric batch.")
-                            yield from self._build_metrics(b.metrics)
-                        if b.observed_metrics:
-                            logger.debug("Received observed metric batch.")
-                            yield from self._build_observed_metrics(b.observed_metrics)
-                        if b.HasField("schema"):
-                            logger.debug("Received the schema.")
-                            dt = types.proto_schema_to_pyspark_data_type(b.schema)
-                            assert isinstance(dt, StructType)
-                            yield dt
-                        if b.HasField("sql_command_result"):
-                            logger.debug("Received the SQL command result.")
-                            yield {"sql_command_result": b.sql_command_result.relation}
-                        if b.HasField("write_stream_operation_start_result"):
-                            field = "write_stream_operation_start_result"
-                            yield {field: b.write_stream_operation_start_result}
-                        if b.HasField("streaming_query_command_result"):
-                            yield {
-                                "streaming_query_command_result": b.streaming_query_command_result
-                            }
-                        if b.HasField("streaming_query_manager_command_result"):
-                            cmd_result = b.streaming_query_manager_command_result
-                            yield {"streaming_query_manager_command_result": cmd_result}
-                        if b.HasField("get_resources_command_result"):
-                            resources = {}
-                            for key, resource in b.get_resources_command_result.resources.items():
-                                name = resource.name
-                                addresses = [address for address in resource.addresses]
-                                resources[key] = ResourceInformation(name, addresses)
-                            yield {"get_resources_command_result": resources}
-                        if b.HasField("arrow_batch"):
-                            logger.debug(
-                                f"Received arrow batch rows={b.arrow_batch.row_count} "
-                                f"size={len(b.arrow_batch.data)}"
-                            )
-
-                            with pa.ipc.open_stream(b.arrow_batch.data) as reader:
-                                for batch in reader:
-                                    assert isinstance(batch, pa.RecordBatch)
-                                    yield batch
+            if self._use_reattachable_execute:
+                # Don't use retryHandler - own retry handling is inside.
+                generator = ExecutePlanResponseReattachableIterator(
+                    req, self._stub, self._retry_policy, self._builder.metadata()
+                )
+                for b in generator:
+                    yield from handle_response(b)
+            else:
+                for attempt in Retrying(
+                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+                ):
+                    with attempt:
+                        for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
+                            yield from handle_response(b)
         except Exception as error:
             self._handle_error(error)
 
@@ -1502,6 +1558,9 @@ def __exit__(
             self._retry_state.set_done()
             return None
 
+    def is_first_try(self) -> bool:
+        return self._retry_state._count == 0
+
 
 class Retrying:
     """
diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
new file mode 100644
index 0000000000000..4d4cce0ca4413
--- /dev/null
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -0,0 +1,237 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from pyspark.sql.connect.utils import check_dependencies
+
+check_dependencies(__name__)
+
+import warnings
+import uuid
+from collections.abc import Generator
+from typing import Optional, Dict, Any, Iterator, Iterable, Tuple
+from multiprocessing.pool import ThreadPool
+import os
+
+import pyspark.sql.connect.proto as pb2
+import pyspark.sql.connect.proto.base_pb2_grpc as grpc_lib
+
+
+class ExecutePlanResponseReattachableIterator(Generator):
+    """
+    Retryable iterator of ExecutePlanResponses to an ExecutePlan call.
+
+    It can handle situations when:
+      - the ExecutePlanResponse stream was broken by retryable network error (governed by
+        retryPolicy)
+      - the ExecutePlanResponse was gracefully ended by the server without a ResultComplete
+        message; this tells the client that there is more, and it should reattach to continue.
+
+    Initial iterator is the result of an ExecutePlan on the request, but it can be reattached with
+    ReattachExecute request. ReattachExecute request is provided the responseId of last returned
+    ExecutePlanResponse on the iterator to return a new iterator from server that continues after
+    that.
+
+    In reattachable execute the server does buffer some responses in case the client needs to
+    backtrack. To let server release this buffer sooner, this iterator asynchronously sends
+    ReleaseExecute RPCs that instruct the server to release responses that it already processed.
+
+    Note: If the initial ExecutePlan did not even reach the server and execution didn't start,
+    the ReattachExecute can still fail with INVALID_HANDLE.OPERATION_NOT_FOUND, failing the whole
+    operation.
+    """
+
+    _release_thread_pool = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
+
+    def __init__(
+        self,
+        request: pb2.ExecutePlanRequest,
+        stub: grpc_lib.SparkConnectServiceStub,
+        retry_policy: Dict[str, Any],
+        metadata: Iterable[Tuple[str, str]],
+    ):
+        self._request = request
+        self._retry_policy = retry_policy
+        if request.operation_id:
+            self._operation_id = request.operation_id
+        else:
+            # Add operation id, if not present.
+            # with operationId set by the client, the client can use it to try to reattach on error
+            # even before getting the first response. If the operation in fact didn't even reach the
+            # server, that will end with INVALID_HANDLE.OPERATION_NOT_FOUND error.
+            self._operation_id = str(uuid.uuid4())
+
+        self._stub = stub
+        request.request_options.append(
+            pb2.ExecutePlanRequest.RequestOption(
+                reattach_options=pb2.ReattachOptions(reattachable=True)
+            )
+        )
+        request.operation_id = self._operation_id
+        self._initial_request = request
+
+        # ResponseId of the last response returned by next()
+        self._last_returned_response_id: Optional[str] = None
+
+        # True after ResponseComplete message was seen in the stream.
+        # Server will always send this message at the end of the stream, if the underlying iterator
+        # finishes without producing one, another iterator needs to be reattached.
+        self._result_complete = False
+
+        # Initial iterator comes from ExecutePlan request.
+        # Note: This is not retried, because no error would ever be thrown here, and GRPC will only
+        # throw error on first self._has_next().
+        self._iterator: Iterator[pb2.ExecutePlanResponse] = iter(
+            self._stub.ExecutePlan(self._initial_request, metadata=metadata)
+        )
+
+        # Current item from this iterator.
+        self._current: Optional[pb2.ExecutePlanResponse] = None
+
+    def send(self, value: Any) -> pb2.ExecutePlanResponse:
+        # will trigger reattach in case the stream completed without result_complete
+        if not self._has_next():
+            raise StopIteration()
+
+        ret = self._current
+        assert ret is not None
+
+        self._last_returned_response_id = ret.response_id
+        if ret.HasField("result_complete"):
+            self._result_complete = True
+            self._release_execute(None)  # release all
+        else:
+            self._release_execute(self._last_returned_response_id)
+        self._current = None
+        return ret
+
+    def _has_next(self) -> bool:
+        from pyspark.sql.connect.client.core import SparkConnectClient
+        from pyspark.sql.connect.client.core import Retrying
+
+        if self._result_complete:
+            # After response complete response
+            return False
+        else:
+            for attempt in Retrying(
+                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+            ):
+                with attempt:
+                    # on first try, we use the existing iterator.
+                    if not attempt.is_first_try():
+                        # on retry, the iterator is borked, so we need a new one
+                        self._iterator = iter(
+                            self._stub.ReattachExecute(self._create_reattach_execute_request())
+                        )
+
+                    if self._current is None:
+                        try:
+                            self._current = next(self._iterator)
+                        except StopIteration:
+                            pass
+
+                    has_next = self._current is not None
+
+                    # Graceful reattach:
+                    # If iterator ended, but there was no ResponseComplete, it means that
+                    # there is more, and we need to reattach. While ResponseComplete didn't
+                    # arrive, we keep reattaching.
+                    if not self._result_complete and not has_next:
+                        while not has_next:
+                            self._iterator = iter(
+                                self._stub.ReattachExecute(self._create_reattach_execute_request())
+                            )
+                            # shouldn't change
+                            assert not self._result_complete
+                            try:
+                                self._current = next(self._iterator)
+                            except StopIteration:
+                                pass
+                            has_next = self._current is not None
+                    return has_next
+            return False
+
+    def _release_execute(self, until_response_id: Optional[str]) -> None:
+        """
+        Inform the server to release the execution.
+
+        This will send an asynchronous RPC which will not block this iterator, the iterator can
+        continue to be consumed.
+
+        Release with untilResponseId informs the server that the iterator has been consumed until
+        and including response with that responseId, and these responses can be freed.
+
+        Release with None means that the responses have been completely consumed and informs the
+        server that the completed execution can be completely freed.
+        """
+        from pyspark.sql.connect.client.core import SparkConnectClient
+        from pyspark.sql.connect.client.core import Retrying
+
+        request = self._create_release_execute_request(until_response_id)
+
+        def target() -> None:
+            try:
+                for attempt in Retrying(
+                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+                ):
+                    with attempt:
+                        self._stub.ReleaseExecute(request)
+            except Exception as e:
+                warnings.warn(f"ReleaseExecute failed with exception: {e}.")
+
+        ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
+
+    def _create_reattach_execute_request(self) -> pb2.ReattachExecuteRequest:
+        reattach = pb2.ReattachExecuteRequest(
+            session_id=self._initial_request.session_id,
+            user_context=self._initial_request.user_context,
+            operation_id=self._initial_request.operation_id,
+        )
+
+        if self._initial_request.client_type:
+            reattach.client_type = self._initial_request.client_type
+
+        if self._last_returned_response_id:
+            reattach.last_response_id = self._last_returned_response_id
+
+        return reattach
+
+    def _create_release_execute_request(
+        self, until_response_id: Optional[str]
+    ) -> pb2.ReleaseExecuteRequest:
+        release = pb2.ReleaseExecuteRequest(
+            session_id=self._initial_request.session_id,
+            user_context=self._initial_request.user_context,
+            operation_id=self._initial_request.operation_id,
+        )
+
+        if self._initial_request.client_type:
+            release.client_type = self._initial_request.client_type
+
+        if not until_response_id:
+            release.release_all.CopyFrom(pb2.ReleaseExecuteRequest.ReleaseAll())
+        else:
+            release.release_until.response_id = until_response_id
+
+        return release
+
+    def throw(self, type: Any = None, value: Any = None, traceback: Any = None) -> Any:
+        super().throw(type, value, traceback)
+
+    def close(self) -> None:
+        return super().close()
+
+    def __del__(self) -> None:
+        return self.close()
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 8cd39ba7a7918..9bba0db05e43f 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -233,7 +233,7 @@ def __init__(self, connection: Union[str, ChannelBuilder], userId: Optional[str]
             the $USER environment. Defining the user ID as part of the connection string
             takes precedence.
         """
-        self._client = SparkConnectClient(connection=connection, userId=userId)
+        self._client = SparkConnectClient(connection=connection, user_id=userId)
         self._session_id = self._client._session_id
 
     def table(self, tableName: str) -> DataFrame:
diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index 834b0307238ae..ede6318782e0a 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -1788,6 +1788,8 @@ def client(self) -> "SparkConnectClient":
 
         Notes
         -----
+        This API is unstable, and a developer API. It returns non-API instance
+        :class:`SparkConnectClient`.
         This is an API dedicated to Spark Connect client only. With regular Spark Session, it throws
         an exception.
         """
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index 5c39d4502f540..9276b88e153b8 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -30,7 +30,7 @@
 @unittest.skipIf(not should_test_connect, connect_requirement_message)
 class SparkConnectClientTestCase(unittest.TestCase):
     def test_user_agent_passthrough(self):
-        client = SparkConnectClient("sc://foo/;user_agent=bar")
+        client = SparkConnectClient("sc://foo/;user_agent=bar", use_reattachable_execute=False)
         mock = MockService(client._session_id)
         client._stub = mock
 
@@ -41,7 +41,7 @@ def test_user_agent_passthrough(self):
         self.assertRegex(mock.req.client_type, r"^bar spark/[^ ]+ os/[^ ]+ python/[^ ]+$")
 
     def test_user_agent_default(self):
-        client = SparkConnectClient("sc://foo/")
+        client = SparkConnectClient("sc://foo/", use_reattachable_execute=False)
         mock = MockService(client._session_id)
         client._stub = mock
 
@@ -54,11 +54,11 @@ def test_user_agent_default(self):
         )
 
     def test_properties(self):
-        client = SparkConnectClient("sc://foo/;token=bar")
+        client = SparkConnectClient("sc://foo/;token=bar", use_reattachable_execute=False)
         self.assertEqual(client.token, "bar")
         self.assertEqual(client.host, "foo")
 
-        client = SparkConnectClient("sc://foo/")
+        client = SparkConnectClient("sc://foo/", use_reattachable_execute=False)
         self.assertIsNone(client.token)
 
     def test_channel_builder(self):
@@ -67,12 +67,14 @@ class CustomChannelBuilder(ChannelBuilder):
             def userId(self) -> Optional[str]:
                 return "abc"
 
-        client = SparkConnectClient(CustomChannelBuilder("sc://foo/"))
+        client = SparkConnectClient(
+            CustomChannelBuilder("sc://foo/"), use_reattachable_execute=False
+        )
 
         self.assertEqual(client._user_id, "abc")
 
     def test_interrupt_all(self):
-        client = SparkConnectClient("sc://foo/;token=bar")
+        client = SparkConnectClient("sc://foo/;token=bar", use_reattachable_execute=False)
         mock = MockService(client._session_id)
         client._stub = mock
 
@@ -80,7 +82,7 @@ def test_interrupt_all(self):
         self.assertIsNotNone(mock.req, "Interrupt API was not called when expected")
 
     def test_is_closed(self):
-        client = SparkConnectClient("sc://foo/;token=bar")
+        client = SparkConnectClient("sc://foo/;token=bar", use_reattachable_execute=False)
 
         self.assertFalse(client.is_closed)
         client.close()
diff --git a/python/pyspark/testing/connectutils.py b/python/pyspark/testing/connectutils.py
index b6145d0a00618..ba81c7836728e 100644
--- a/python/pyspark/testing/connectutils.py
+++ b/python/pyspark/testing/connectutils.py
@@ -170,6 +170,10 @@ def conf(cls):
         # Disable JVM stack trace in Spark Connect tests to prevent the
         # HTTP header size from exceeding the maximum allowed size.
         conf.set("spark.sql.pyspark.jvmStacktrace.enabled", "false")
+        # Make the server terminate reattachable streams every 1 second and 123 bytes,
+        # to make the tests exercise reattach.
+        conf.set("spark.connect.execute.reattachable.senderMaxStreamDuration", "1s")
+        conf.set("spark.connect.execute.reattachable.senderMaxStreamSize", "123")
         return conf
 
     @classmethod

From e2ad91e4547cce754ae4fd7e3774883f594dfc72 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 3 Aug 2023 08:56:25 +0900
Subject: [PATCH 144/986] [SPARK-44424][PYTHON][CONNECT][FOLLOW-UP] Import
 Connect related libraries after checking dependencies

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/42235 that fixes the Connect related import after the dependency checking.

### Why are the changes needed?

In order to show the end users a nice error message for optional dependencies instead of just saying that they were not found.

### Does this PR introduce _any_ user-facing change?

No, the PR has not been released out yet.

### How was this patch tested?

Manually.

Closes #42311 from HyukjinKwon/SPARK-44424-folowup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 7b9057b90f93d7955e4e8170a4c299700feb0694)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 2c4e47c0c52d1..816eb8344fece 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -20,7 +20,6 @@
     "getLogLevel",
 ]
 
-from pyspark.sql.connect.client.reattach import ExecutePlanResponseReattachableIterator
 from pyspark.sql.connect.utils import check_dependencies
 
 check_dependencies(__name__)
@@ -66,6 +65,7 @@
 from pyspark.version import __version__
 from pyspark.resource.information import ResourceInformation
 from pyspark.sql.connect.client.artifact import ArtifactManager
+from pyspark.sql.connect.client.reattach import ExecutePlanResponseReattachableIterator
 from pyspark.sql.connect.conversion import storage_level_to_proto, proto_to_storage_level
 import pyspark.sql.connect.proto as pb2
 import pyspark.sql.connect.proto.base_pb2_grpc as grpc_lib

From 5cfd85fcf5989cd9a3a083d712b0b800a2a92409 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 3 Aug 2023 11:57:34 +0900
Subject: [PATCH 145/986] [SPARK-44620][SQL][PS][CONNECT] Make `ResolvePivot`
 retain the `Plan_ID_TAG`

### What changes were proposed in this pull request?
Make `ResolvePivot` retain the `Plan_ID_TAG`

### Why are the changes needed?
to resolve the `AnalysisException` in Pandas APIs on Connect

### Does this PR introduce _any_ user-facing change?
yes, new APIs enabled:

1. `frame.pivot_table`
2. `frame.transpose`
3. `series.unstack`

### How was this patch tested?
enabled UTs

Closes #42261 from zhengruifeng/ps_connect_analyze_pivot.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 1a89bdc60d55394a1a9d94d4fa69fa5ab8041671)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/computation/test_parity_pivot.py    | 17 +----------------
 .../connect/frame/test_parity_reshaping.py      | 11 +----------
 .../tests/connect/series/test_parity_compute.py |  6 +-----
 .../tests/connect/test_parity_categorical.py    |  6 ------
 .../spark/sql/catalyst/analysis/Analyzer.scala  | 10 +++++++---
 5 files changed, 10 insertions(+), 40 deletions(-)

diff --git a/python/pyspark/pandas/tests/connect/computation/test_parity_pivot.py b/python/pyspark/pandas/tests/connect/computation/test_parity_pivot.py
index d2c4f9ae60717..c8ec48eb06aa4 100644
--- a/python/pyspark/pandas/tests/connect/computation/test_parity_pivot.py
+++ b/python/pyspark/pandas/tests/connect/computation/test_parity_pivot.py
@@ -16,28 +16,13 @@
 #
 import unittest
 
-from pyspark import pandas as ps
 from pyspark.pandas.tests.computation.test_pivot import FramePivotMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
 class FrameParityPivotTests(FramePivotMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @property
-    def psdf(self):
-        return ps.from_pandas(self.pdf)
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_pivot_table(self):
-        super().test_pivot_table()
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_pivot_table_dtypes(self):
-        super().test_pivot_table_dtypes()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/frame/test_parity_reshaping.py b/python/pyspark/pandas/tests/connect/frame/test_parity_reshaping.py
index 98ebf3ca44a07..e4bac7b078e66 100644
--- a/python/pyspark/pandas/tests/connect/frame/test_parity_reshaping.py
+++ b/python/pyspark/pandas/tests/connect/frame/test_parity_reshaping.py
@@ -16,22 +16,13 @@
 #
 import unittest
 
-from pyspark import pandas as ps
 from pyspark.pandas.tests.frame.test_reshaping import FrameReshapingMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
 class FrameParityReshapingTests(FrameReshapingMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @property
-    def psdf(self):
-        return ps.from_pandas(self.pdf)
-
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_transpose(self):
-        super().test_transpose()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/series/test_parity_compute.py b/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
index f757d19ca6941..8876fcb139885 100644
--- a/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
+++ b/python/pyspark/pandas/tests/connect/series/test_parity_compute.py
@@ -22,11 +22,7 @@
 
 
 class SeriesParityComputeTests(SeriesComputeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_unstack(self):
-        super().test_unstack()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/pandas/tests/connect/test_parity_categorical.py b/python/pyspark/pandas/tests/connect/test_parity_categorical.py
index 3e05eb2c0f3b7..210cfce8ddbaf 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_categorical.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_categorical.py
@@ -53,12 +53,6 @@ def test_reorder_categories(self):
     def test_set_categories(self):
         super().test_set_categories()
 
-    @unittest.skip(
-        "TODO(SPARK-43611): Fix unexpected `AnalysisException` from Spark Connect client."
-    )
-    def test_unstack(self):
-        super().test_unstack()
-
 
 if __name__ == "__main__":
     from pyspark.pandas.tests.connect.test_parity_categorical import *  # noqa: F401
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 7f2471c9e1982..09467c22e2b03 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -759,7 +759,7 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       case p: Pivot if !p.childrenResolved || !p.aggregates.forall(_.resolved)
         || (p.groupByExprsOpt.isDefined && !p.groupByExprsOpt.get.forall(_.resolved))
         || !p.pivotColumn.resolved || !p.pivotValues.forall(_.resolved) => p
-      case Pivot(groupByExprsOpt, pivotColumn, pivotValues, aggregates, child) =>
+      case p @ Pivot(groupByExprsOpt, pivotColumn, pivotValues, aggregates, child) =>
         if (!RowOrdering.isOrderable(pivotColumn.dataType)) {
           throw QueryCompilationErrors.unorderablePivotColError(pivotColumn)
         }
@@ -823,7 +823,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
               Alias(ExtractValue(pivotAtt, Literal(i), resolver), outputName(value, aggregate))()
             }
           }
-          Project(groupByExprsAttr ++ pivotOutputs, secondAgg)
+          val newProject = Project(groupByExprsAttr ++ pivotOutputs, secondAgg)
+          newProject.copyTagsFrom(p)
+          newProject
         } else {
           val pivotAggregates: Seq[NamedExpression] = pivotValues.flatMap { value =>
             def ifExpr(e: Expression) = {
@@ -857,7 +859,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
               Alias(filteredAggregate, outputName(value, aggregate))()
             }
           }
-          Aggregate(groupByExprs, groupByExprs ++ pivotAggregates, child)
+          val newAggregate = Aggregate(groupByExprs, groupByExprs ++ pivotAggregates, child)
+          newAggregate.copyTagsFrom(p)
+          newAggregate
         }
     }
 

From c6d4de6cf49ce98bbe6850246506b8cd34b1c73f Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Thu, 3 Aug 2023 12:05:02 +0900
Subject: [PATCH 146/986] [SPARK-44643][SQL][PYTHON] Fix Row.__repr__ for the
 case the field is empty Row

### What changes were proposed in this pull request?

Fix `Row.__repr__` for the case the field is empty `Row`.

```py
>>> repr(Row(Row()))
'<Row(<Row()>)>'
```

### Why are the changes needed?

`Row.__repr__` is broken when it contains an empty `Row`:

```py
>>> repr(Row(Row()))
Traceback (most recent call last):
...
TypeError: not enough arguments for format string
```

### Does this PR introduce _any_ user-facing change?

`Row` that contains an empty `Row` will be shown in the REPL.

### How was this patch tested?

Added the related test.

Closes #42303 from ueshin/issues/SPARK-44643/repr_row.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 8a8471811727cd4a49696e68713d459417ebca73)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_types.py | 9 +++++++++
 python/pyspark/sql/types.py            | 2 +-
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index 083aa151d0dd8..7cb13693a0df9 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -1323,6 +1323,15 @@ def test_row_without_column_name(self):
         # test __repr__ with unicode values
         self.assertEqual(repr(Row("数", "量")), "<Row('数', '量')>")
 
+    # SPARK-44643: test __repr__ with empty Row
+    def test_row_repr_with_empty_row(self):
+        self.assertEqual(repr(Row(a=Row())), "Row(a=<Row()>)")
+        self.assertEqual(repr(Row(Row())), "<Row(<Row()>)>")
+
+        EmptyRow = Row()
+        self.assertEqual(repr(Row(a=EmptyRow())), "Row(a=Row())")
+        self.assertEqual(repr(Row(EmptyRow())), "<Row(Row())>")
+
     def test_empty_row(self):
         row = Row()
         self.assertEqual(len(row), 0)
diff --git a/python/pyspark/sql/types.py b/python/pyspark/sql/types.py
index db615d339b5ae..092fa43b1d2e7 100644
--- a/python/pyspark/sql/types.py
+++ b/python/pyspark/sql/types.py
@@ -2402,7 +2402,7 @@ def __repr__(self) -> str:
                 "%s=%r" % (k, v) for k, v in zip(self.__fields__, tuple(self))
             )
         else:
-            return "<Row(%s)>" % ", ".join("%r" % field for field in self)
+            return "<Row(%s)>" % ", ".join(repr(field) for field in self)
 
 
 class DateConverter:

From 0ff363f43238c8619bb5c0c8a4a75d2e17b699ee Mon Sep 17 00:00:00 2001
From: Richard Yu <richard.yu@databricks.com>
Date: Thu, 3 Aug 2023 12:07:05 +0900
Subject: [PATCH 147/986] [SPARK-44059][SQL] Add better error messages for SQL
 named argumnts

### What changes were proposed in this pull request?
Correct error messages.

### Why are the changes needed?
Need to have better quality messages.

### Does this PR introduce _any_ user-facing change?
Error messages are more specific.

### How was this patch tested?
Tested in SQLQueryTestSuite: named-function-arguments.sql and NamedParameterFunctionSuite.

Authored-by: Richard Yu <richard.yudatabricks.com>
(cherry picked from commit 228b5dbfd7688a8efa7135d9ec7b00b71e41a38a)

Closes #42177 from learningchess2003/error-messages.

Lead-authored-by: Richard Yu <richard.yu@databricks.com>
Co-authored-by: Richard Yu <134337791+learningchess2003@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit b390c9c55a0c16423657ba64f27b9a16ce509c23)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../main/resources/error/error-classes.json   |  8 +++----
 ...outine-parameter-assignment-error-class.md |  4 ++--
 docs/sql-error-conditions.md                  |  4 ++--
 .../plans/logical/FunctionBuilderBase.scala   | 24 ++++++++++---------
 .../sql/errors/QueryCompilationErrors.scala   | 13 ++++++----
 .../NamedParameterFunctionSuite.scala         | 11 +++++----
 .../named-function-arguments.sql.out          |  4 +++-
 .../results/named-function-arguments.sql.out  |  4 +++-
 8 files changed, 43 insertions(+), 29 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 480ec63628394..df425d7b2df12 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -750,12 +750,12 @@
     "subClass" : {
       "BOTH_POSITIONAL_AND_NAMED" : {
         "message" : [
-          "A positional argument and named argument both referred to the same parameter."
+          "A positional argument and named argument both referred to the same parameter. Please remove the named argument referring to this parameter."
         ]
       },
       "DOUBLE_NAMED_ARGUMENT_REFERENCE" : {
         "message" : [
-          "More than one named argument referred to the same parameter."
+          "More than one named argument referred to the same parameter. Please assign a value only once."
         ]
       }
     },
@@ -2387,7 +2387,7 @@
   },
   "REQUIRED_PARAMETER_NOT_FOUND" : {
     "message" : [
-      "Cannot invoke function <functionName> because the parameter named <parameterName> is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally or by name) and retry the query again."
+      "Cannot invoke function <functionName> because the parameter named <parameterName> is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally at index <index> or by name) and retry the query again."
     ],
     "sqlState" : "4274K"
   },
@@ -2583,7 +2583,7 @@
   },
   "UNEXPECTED_POSITIONAL_ARGUMENT" : {
     "message" : [
-      "Cannot invoke function <functionName> because it contains positional argument(s) following named argument(s); please rearrange them so the positional arguments come first and then retry the query again."
+      "Cannot invoke function <functionName> because it contains positional argument(s) following the named argument assigned to <parameterName>; please rearrange them so the positional arguments come first and then retry the query again."
     ],
     "sqlState" : "4274K"
   },
diff --git a/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md b/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
index d9f14b5a55ef8..eb5ca2a0169d1 100644
--- a/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
+++ b/docs/sql-error-conditions-duplicate-routine-parameter-assignment-error-class.md
@@ -27,10 +27,10 @@ This error class has the following derived error classes:
 
 ## BOTH_POSITIONAL_AND_NAMED
 
-A positional argument and named argument both referred to the same parameter.
+A positional argument and named argument both referred to the same parameter. Please remove the named argument referring to this parameter.
 
 ## DOUBLE_NAMED_ARGUMENT_REFERENCE
 
-More than one named argument referred to the same parameter.
+More than one named argument referred to the same parameter. Please assign a value only once.
 
 
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 1edab4797ab1e..9e2a484d05733 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -1555,7 +1555,7 @@ The `<clause>` clause may be used at most once per `<operation>` operation.
 
 [SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
 
-Cannot invoke function `<functionName>` because the parameter named `<parameterName>` is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally or by name) and retry the query again.
+Cannot invoke function `<functionName>` because the parameter named `<parameterName>` is required, but the function call did not supply a value. Please update the function call to supply an argument value (either positionally at index `<index>` or by name) and retry the query again.
 
 ### REQUIRES_SINGLE_PART_NAMESPACE
 
@@ -1764,7 +1764,7 @@ Parameter `<paramIndex>` of function `<functionName>` requires the `<requiredTyp
 
 [SQLSTATE: 4274K](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
 
-Cannot invoke function `<functionName>` because it contains positional argument(s) following named argument(s); please rearrange them so the positional arguments come first and then retry the query again.
+Cannot invoke function `<functionName>` because it contains positional argument(s) following the named argument assigned to `<parameterName>`; please rearrange them so the positional arguments come first and then retry the query again.
 
 ### UNKNOWN_PROTOBUF_MESSAGE_TYPE
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
index 4a2b9eae98100..1088655f60cd4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
@@ -104,7 +104,7 @@ object NamedParametersSupport {
     val positionalParametersSet = allParameterNames.take(positionalArgs.size).toSet
     val namedParametersSet = collection.mutable.Set[String]()
 
-    for (arg <- namedArgs) {
+    namedArgs.zipWithIndex.foreach { case (arg, index) =>
       arg match {
         case namedArg: NamedArgumentExpression =>
           val parameterName = namedArg.key
@@ -122,7 +122,8 @@ object NamedParametersSupport {
           }
           namedParametersSet.add(namedArg.key)
         case _ =>
-          throw QueryCompilationErrors.unexpectedPositionalArgument(functionName)
+          throw QueryCompilationErrors.unexpectedPositionalArgument(
+            functionName, namedArgs(index - 1).asInstanceOf[NamedArgumentExpression].key)
       }
     }
 
@@ -141,15 +142,16 @@ object NamedParametersSupport {
     }.toMap
 
     // We rearrange named arguments to match their positional order.
-    val rearrangedNamedArgs: Seq[Expression] = namedParameters.map { param =>
-      namedArgMap.getOrElse(
-        param.name,
-        if (param.default.isEmpty) {
-          throw QueryCompilationErrors.requiredParameterNotFound(functionName, param.name)
-        } else {
-          param.default.get
-        }
-      )
+    val rearrangedNamedArgs: Seq[Expression] = namedParameters.zipWithIndex.map {
+      case (param, index) =>
+        namedArgMap.getOrElse(
+          param.name,
+          if (param.default.isEmpty) {
+            throw QueryCompilationErrors.requiredParameterNotFound(functionName, param.name, index)
+          } else {
+            param.default.get
+          }
+        )
     }
     val rearrangedArgs = positionalArgs ++ rearrangedNamedArgs
     assert(rearrangedArgs.size == parameters.size)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 010b4ec92a918..91548917b2f62 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -90,12 +90,13 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
   }
 
   def requiredParameterNotFound(
-      functionName: String, parameterName: String) : Throwable = {
+      functionName: String, parameterName: String, index: Int) : Throwable = {
     new AnalysisException(
       errorClass = "REQUIRED_PARAMETER_NOT_FOUND",
       messageParameters = Map(
         "functionName" -> toSQLId(functionName),
-        "parameterName" -> toSQLId(parameterName))
+        "parameterName" -> toSQLId(parameterName),
+        "index" -> index.toString)
     )
   }
 
@@ -115,10 +116,14 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
     )
   }
 
-  def unexpectedPositionalArgument(functionName: String): Throwable = {
+  def unexpectedPositionalArgument(
+      functionName: String,
+      precedingNamedArgument: String): Throwable = {
     new AnalysisException(
       errorClass = "UNEXPECTED_POSITIONAL_ARGUMENT",
-      messageParameters = Map("functionName" -> toSQLId(functionName))
+      messageParameters = Map(
+        "functionName" -> toSQLId(functionName),
+        "parameterName" -> toSQLId(precedingNamedArgument))
     )
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala
index dd5cb5e7d03c8..99fed4d2ee5d9 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/NamedParameterFunctionSuite.scala
@@ -40,6 +40,7 @@ case class DummyExpression(
 }
 
 object DummyExpressionBuilder extends ExpressionBuilder  {
+
   def defaultFunctionSignature: FunctionSignature = {
     FunctionSignature(Seq(InputParameter("k1"),
       InputParameter("k2"),
@@ -49,11 +50,12 @@ object DummyExpressionBuilder extends ExpressionBuilder  {
 
   override def functionSignature: Option[FunctionSignature] =
     Some(defaultFunctionSignature)
+
   override def build(funcName: String, expressions: Seq[Expression]): Expression =
     DummyExpression(expressions(0), expressions(1), expressions(2), expressions(3))
 }
 
-class NamedArgumentFunctionSuite extends AnalysisTest {
+class NamedParameterFunctionSuite extends AnalysisTest {
 
   final val k1Arg = Literal("v1")
   final val k2Arg = NamedArgumentExpression("k2", Literal("v2"))
@@ -61,6 +63,7 @@ class NamedArgumentFunctionSuite extends AnalysisTest {
   final val k4Arg = NamedArgumentExpression("k4", Literal("v4"))
   final val namedK1Arg = NamedArgumentExpression("k1", Literal("v1-2"))
   final val args = Seq(k1Arg, k4Arg, k2Arg, k3Arg)
+
   final val expectedSeq = Seq(Literal("v1"), Literal("v2"), Literal("v3"), Literal("v4"))
   final val signature = DummyExpressionBuilder.defaultFunctionSignature
   final val illegalSignature = FunctionSignature(Seq(
@@ -115,8 +118,8 @@ class NamedArgumentFunctionSuite extends AnalysisTest {
     checkError(
       exception = parseRearrangeException(signature, Seq(k1Arg, k2Arg, k3Arg), "foo"),
       errorClass = "REQUIRED_PARAMETER_NOT_FOUND",
-      parameters = Map("functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k4"))
-    )
+      parameters = Map(
+        "functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k4"), "index" -> "2"))
   }
 
   test("UNRECOGNIZED_PARAMETER_NAME") {
@@ -134,7 +137,7 @@ class NamedArgumentFunctionSuite extends AnalysisTest {
       exception = parseRearrangeException(signature,
         Seq(k2Arg, k3Arg, k1Arg, k4Arg), "foo"),
       errorClass = "UNEXPECTED_POSITIONAL_ARGUMENT",
-      parameters = Map("functionName" -> toSQLId("foo"))
+      parameters = Map("functionName" -> toSQLId("foo"), "parameterName" -> toSQLId("k3"))
     )
   }
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
index 650b61b419245..11e2651c6f225 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/named-function-arguments.sql.out
@@ -229,7 +229,8 @@ org.apache.spark.sql.AnalysisException
   "errorClass" : "UNEXPECTED_POSITIONAL_ARGUMENT",
   "sqlState" : "4274K",
   "messageParameters" : {
-    "functionName" : "`mask`"
+    "functionName" : "`mask`",
+    "parameterName" : "`lowerChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -292,6 +293,7 @@ org.apache.spark.sql.AnalysisException
   "sqlState" : "4274K",
   "messageParameters" : {
     "functionName" : "`mask`",
+    "index" : "0",
     "parameterName" : "`str`"
   },
   "queryContext" : [ {
diff --git a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
index 77c15b56c8dab..60301862a35c9 100644
--- a/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/named-function-arguments.sql.out
@@ -214,7 +214,8 @@ org.apache.spark.sql.AnalysisException
   "errorClass" : "UNEXPECTED_POSITIONAL_ARGUMENT",
   "sqlState" : "4274K",
   "messageParameters" : {
-    "functionName" : "`mask`"
+    "functionName" : "`mask`",
+    "parameterName" : "`lowerChar`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -283,6 +284,7 @@ org.apache.spark.sql.AnalysisException
   "sqlState" : "4274K",
   "messageParameters" : {
     "functionName" : "`mask`",
+    "index" : "0",
     "parameterName" : "`str`"
   },
   "queryContext" : [ {

From c8665288db830c05e98967b3973a71bdf2df834a Mon Sep 17 00:00:00 2001
From: pegasas <616672335@qq.com>
Date: Thu, 3 Aug 2023 12:15:19 +0900
Subject: [PATCH 148/986] [SPARK-42730][CONNECT][DOCS] Update Spark Standalone
 Mode page

### What changes were proposed in this pull request?

[SPARK-42730][CONNECT][DOCS]
Add start-connect-server.sh/stop-connect-server.sh to this list and cover Spark Connect sessions - other changes needed here.

### Why are the changes needed?

[SPARK-42730][CONNECT][DOCS]
Add start-connect-server.sh/stop-connect-server.sh to this list and cover Spark Connect sessions - other changes needed here..

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Spark Document related patch tested.

Closes #42307 from pegasas/doc.

Authored-by: pegasas <616672335@qq.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 3b3e30113262455553a0bb7d668b2a7d9a23a05d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/spark-standalone.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index d47ff3987f95b..3e87edad0aadd 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -104,10 +104,12 @@ Once you've set up this file, you can launch or stop your cluster with the follo
 - `sbin/start-master.sh` - Starts a master instance on the machine the script is executed on.
 - `sbin/start-workers.sh` - Starts a worker instance on each machine specified in the `conf/workers` file.
 - `sbin/start-worker.sh` - Starts a worker instance on the machine the script is executed on.
+- `sbin/start-connect-server.sh` - Starts a Spark Connect server on the machine the script is executed on.
 - `sbin/start-all.sh` - Starts both a master and a number of workers as described above.
 - `sbin/stop-master.sh` - Stops the master that was started via the `sbin/start-master.sh` script.
 - `sbin/stop-worker.sh` - Stops all worker instances on the machine the script is executed on.
 - `sbin/stop-workers.sh` - Stops all worker instances on the machines specified in the `conf/workers` file.
+- `sbin/stop-connect-server.sh` - Stops all Spark Connect server instances on the machine the script is executed on.
 - `sbin/stop-all.sh` - Stops both the master and the workers as described above.
 
 Note that these scripts must be executed on the machine you want to run the Spark master on, not your local machine.

From c27b7a47f26dadf3a93256eba9353ba46067f763 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Thu, 3 Aug 2023 12:18:14 +0900
Subject: [PATCH 149/986] [SPARK-44645][PYTHON][DOCS] Update
 assertDataFrameEqual docs error example output

### What changes were proposed in this pull request?
This PR updates the error example output for the `assertDataFrameEqual` docs, given the new error message formatting.

### Why are the changes needed?
The change is needed to display the accurate `assertDataFrameEqual` error message.

### Does this PR introduce _any_ user-facing change?
Yes, the PR affects the user view for the PySpark docs page.

### How was this patch tested?
Existing tests

Closes #42305 from asl3/update-docs-error.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 445e3c395221126469394718b7bf190026a862f7)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/testing/utils.py | 20 +++++++++-----------
 1 file changed, 9 insertions(+), 11 deletions(-)

diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 2a23476112fee..5461577fad1de 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -432,17 +432,15 @@ def assertDataFrameEqual(
     Traceback (most recent call last):
     ...
     PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 66.66667 % )
-    --- actual
-    +++ expected
-    - Row(id='1', amount=1000.0)
-    ?                       ^
-    + Row(id='1', amount=1001.0)
-    ?                       ^
-    - Row(id='3', amount=2000.0)
-    ?                       ^
-    + Row(id='3', amount=2003.0)
-    ?                       ^
-
+    *** actual ***
+    ! Row(id='1', amount=1000.0)
+    Row(id='2', amount=3000.0)
+    ! Row(id='3', amount=2000.0)
+
+    *** expected ***
+    ! Row(id='1', amount=1001.0)
+    Row(id='2', amount=3000.0)
+    ! Row(id='3', amount=2003.0)
     """
     if actual is None and expected is None:
         return True

From a1ca1e6e7633c3fbb36427a82635cda7d21f1dab Mon Sep 17 00:00:00 2001
From: Koray Beyaz <koraybeyaz73@gmail.com>
Date: Thu, 3 Aug 2023 10:57:26 +0500
Subject: [PATCH 150/986] [SPARK-42330][SQL] Assign the name
 `RULE_ID_NOT_FOUND` to the error class `_LEGACY_ERROR_TEMP_2175`

### What changes were proposed in this pull request?

- Rename _LEGACY_ERROR_TEMP_2175 as RULE_ID_NOT_FOUND

- Add a test case for the error class.

### Why are the changes needed?

We are migrating onto error classes

### Does this PR introduce _any_ user-facing change?

Yes, the error message will include the error class name

### How was this patch tested?

`testOnly *RuleIdCollectionSuite` and Github Actions

Closes #40991 from kori73/SPARK-42330.

Lead-authored-by: Koray Beyaz <koraybeyaz73@gmail.com>
Co-authored-by: Koray Beyaz <koray.beyaz73@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit f824d058b14e3c58b1c90f64fefc45fac105c7dd)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../utils/src/main/resources/error/error-classes.json | 11 ++++++-----
 docs/sql-error-conditions.md                          |  6 ++++++
 .../spark/sql/errors/QueryExecutionErrors.scala       |  5 ++---
 .../spark/sql/errors/QueryExecutionErrorsSuite.scala  | 11 +++++++++++
 4 files changed, 25 insertions(+), 8 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index df425d7b2df12..d9d1963c95874 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -2412,6 +2412,12 @@
     ],
     "sqlState" : "42883"
   },
+  "RULE_ID_NOT_FOUND" : {
+    "message" : [
+      "Not found an id for the rule name \"<ruleName>\". Please modify RuleIdCollection.scala if you are adding a new rule."
+    ],
+    "sqlState" : "22023"
+  },
   "SCALAR_SUBQUERY_IS_IN_GROUP_BY_OR_AGGREGATE_FUNCTION" : {
     "message" : [
       "The correlated scalar subquery '<sqlExpr>' is neither present in GROUP BY, nor in an aggregate function. Add it to GROUP BY using ordinal position or wrap it in `first()` (or `first_value`) if you don't care which value you get."
@@ -5425,11 +5431,6 @@
       "<plan>."
     ]
   },
-  "_LEGACY_ERROR_TEMP_2175" : {
-    "message" : [
-      "Rule id not found for <ruleName>. Please modify RuleIdCollection.scala if you are adding a new rule."
-    ]
-  },
   "_LEGACY_ERROR_TEMP_2176" : {
     "message" : [
       "Cannot create array with <numElements> elements of data due to exceeding the limit <maxRoundedArrayLength> elements for ArrayData. <additionalErrorMessage>"
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 9e2a484d05733..e1430e94db567 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -1578,6 +1578,12 @@ The function `<routineName>` cannot be found. Verify the spelling and correctnes
 If you did not qualify the name with a schema and catalog, verify the current_schema() output, or qualify the name with the correct schema and catalog.
 To tolerate the error on drop use DROP FUNCTION IF EXISTS.
 
+### RULE_ID_NOT_FOUND
+
+[SQLSTATE: 22023](sql-error-conditions-sqlstates.html#class-22-data-exception)
+
+Not found an id for the rule name "`<ruleName>`". Please modify RuleIdCollection.scala if you are adding a new rule.
+
 ### SCALAR_SUBQUERY_IS_IN_GROUP_BY_OR_AGGREGATE_FUNCTION
 
 SQLSTATE: none assigned
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 89c080409e2ce..7685e0f907cc3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -1584,9 +1584,8 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
 
   def ruleIdNotFoundForRuleError(ruleName: String): Throwable = {
     new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2175",
-      messageParameters = Map(
-        "ruleName" -> ruleName),
+      errorClass = "RULE_ID_NOT_FOUND",
+      messageParameters = Map("ruleName" -> ruleName),
       cause = null)
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
index e70d04b7b5a6f..ae1c0a86a14c2 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
@@ -34,6 +34,7 @@ import org.apache.spark.sql.catalyst.expressions.{Grouping, Literal, RowNumber}
 import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
 import org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext
 import org.apache.spark.sql.catalyst.expressions.objects.InitializeJavaBean
+import org.apache.spark.sql.catalyst.rules.RuleIdCollection
 import org.apache.spark.sql.catalyst.util.BadRecordException
 import org.apache.spark.sql.execution.datasources.jdbc.{DriverRegistry, JDBCOptions}
 import org.apache.spark.sql.execution.datasources.jdbc.connection.ConnectionProvider
@@ -499,6 +500,16 @@ class QueryExecutionErrorsSuite
     }
   }
 
+  test("SPARK-42330: rule id not found") {
+    checkError(
+      exception = intercept[SparkException] {
+          RuleIdCollection.getRuleId("incorrect")
+      },
+      errorClass = "RULE_ID_NOT_FOUND",
+      parameters = Map("ruleName" -> "incorrect")
+    )
+  }
+
   test("CANNOT_RESTORE_PERMISSIONS_FOR_PATH: can't set permission") {
       withTable("t") {
         withSQLConf(

From 7f9a4737845fdbaf5ac3b311a32e5d9c105bc226 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 3 Aug 2023 14:18:16 -0700
Subject: [PATCH 151/986] [SPARK-44658][CORE] `ShuffleStatus.getMapStatus`
 should return `None` instead of `Some(null)`

### What changes were proposed in this pull request?

This PR is for `master` and `branch-3.5` and aims to fix a regression due to SPARK-43043 which landed at Apache Spark 3.4.1 and reverted via SPARK-44630. This PR makes `ShuffleStatus.getMapStatus` return `None` instead of `Some(null)`.

### Why are the changes needed?

`None` is better because `Some(null)` is unsafe because it causes NPE in some cases.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs with the newly added test case.

Closes #42323 from dongjoon-hyun/SPARK-44658.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit ed036a9d0aab2d75b5c0db5caebfc158ce22ec15)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../main/scala/org/apache/spark/MapOutputTracker.scala   | 5 ++++-
 .../scala/org/apache/spark/MapOutputTrackerSuite.scala   | 9 +++++++++
 2 files changed, 13 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
index 47ac3df4cc62c..3495536a3508f 100644
--- a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
+++ b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
@@ -171,7 +171,10 @@ private class ShuffleStatus(
    * Get the map output that corresponding to a given mapId.
    */
   def getMapStatus(mapId: Long): Option[MapStatus] = withReadLock {
-    mapIdToMapIndex.get(mapId).map(mapStatuses(_))
+    mapIdToMapIndex.get(mapId).map(mapStatuses(_)) match {
+      case Some(null) => None
+      case m => m
+    }
   }
 
   /**
diff --git a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
index 7ac3d0092c8ce..7ee36137e2715 100644
--- a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
@@ -1083,4 +1083,13 @@ class MapOutputTrackerSuite extends SparkFunSuite with LocalSparkContext {
       rpcEnv.shutdown()
     }
   }
+
+  test("SPARK-44658: ShuffleStatus.getMapStatus should return None") {
+    val bmID = BlockManagerId("a", "hostA", 1000)
+    val mapStatus = MapStatus(bmID, Array(1000L, 10000L), mapTaskId = 0)
+    val shuffleStatus = new ShuffleStatus(1000)
+    shuffleStatus.addMapOutput(mapIndex = 1, mapStatus)
+    shuffleStatus.removeMapOutput(mapIndex = 1, bmID)
+    assert(shuffleStatus.getMapStatus(0).isEmpty)
+  }
 }

From 4939889a301209c678a2f4df978a9f7e6b15edbd Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 3 Aug 2023 14:40:59 -0700
Subject: [PATCH 152/986] [SPARK-44661][CORE][TESTS] `getMapOutputLocation`
 should not throw NPE

### What changes were proposed in this pull request?

This PR aims to add a test coverage for Apache Spark 4.0/3.5/3.4.
This PR depends on SPARK-44658 (#42323) but is created separately because this aims to land `branch-3.4` too.

### Why are the changes needed?

To prevent a future regression.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

Closes #42326 from dongjoon-hyun/SPARK-44661.

Lead-authored-by: Dongjoon Hyun <dhyun@apple.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 9fbf0b4853c6209675daa0731f8b33a83b2f5cef)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../apache/spark/MapOutputTrackerSuite.scala    | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
index 7ee36137e2715..450ff01921a83 100644
--- a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
@@ -1092,4 +1092,21 @@ class MapOutputTrackerSuite extends SparkFunSuite with LocalSparkContext {
     shuffleStatus.removeMapOutput(mapIndex = 1, bmID)
     assert(shuffleStatus.getMapStatus(0).isEmpty)
   }
+
+  test("SPARK-44661: getMapOutputLocation should not throw NPE") {
+    val rpcEnv = createRpcEnv("test")
+    val tracker = newTrackerMaster()
+    try {
+      tracker.trackerEndpoint = rpcEnv.setupEndpoint(MapOutputTracker.ENDPOINT_NAME,
+        new MapOutputTrackerMasterEndpoint(rpcEnv, tracker, conf))
+      tracker.registerShuffle(0, 1, 1)
+      tracker.registerMapOutput(0, 0, MapStatus(BlockManagerId("exec-1", "hostA", 1000),
+        Array(2L), 0))
+      tracker.removeOutputsOnHost("hostA")
+      assert(tracker.getMapOutputLocation(0, 0) == None)
+    } finally {
+      tracker.stop()
+      rpcEnv.shutdown()
+    }
+  }
 }

From 1d0d8f5fa6cd1ebf35301443d5119de752ccd18f Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Fri, 4 Aug 2023 08:42:39 +0900
Subject: [PATCH 153/986] [SPARK-44652] Raise error when only one df is None

### What changes were proposed in this pull request?
Adds a "raise PySparkAssertionError" for the case when one of `actual` or `expected` is None, instead of just returning False.

### Why are the changes needed?
The PR ensures that an error is thrown in the assertion for the edge case when one of `actual` or `expected` is None

### Does this PR introduce _any_ user-facing change?
Yes, the PR affects the user-facing API `assertDataFrameEqual`

### How was this patch tested?
Added tests to `python/pyspark/sql/tests/test_utils.py`

Closes #42314 from asl3/raise-none-error.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 16b031eb144f6ba1c1103be5dcf00d6209adaa85)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_utils.py | 82 +++++++++++++++++++++++---
 python/pyspark/testing/utils.py        | 32 ++++++++--
 2 files changed, 99 insertions(+), 15 deletions(-)

diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index 76d397e3adeb8..93895465de7f7 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -41,6 +41,7 @@
     BooleanType,
 )
 from pyspark.sql.dataframe import DataFrame
+import pyspark.pandas as ps
 
 import difflib
 from typing import List, Union
@@ -672,9 +673,79 @@ def test_assert_equal_nulldf(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
-    def test_assert_equal_exact_pandas_df(self):
-        import pyspark.pandas as ps
+    def test_assert_unequal_null_actual(self):
+        df1 = None
+        df2 = self.spark.createDataFrame(
+            data=[
+                ("1", 1000),
+                ("2", 3000),
+            ],
+            schema=["id", "amount"],
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "actual",
+                "actual_type": None,
+            },
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "actual",
+                "actual_type": None,
+            },
+        )
+
+    def test_assert_unequal_null_expected(self):
+        df1 = self.spark.createDataFrame(
+            data=[
+                ("1", 1000),
+                ("2", 3000),
+            ],
+            schema=["id", "amount"],
+        )
+        df2 = None
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2)
 
+        self.check_error(
+            exception=pe.exception,
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "expected",
+                "actual_type": None,
+            },
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "expected",
+                "actual_type": None,
+            },
+        )
+
+    def test_assert_equal_exact_pandas_df(self):
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
         df2 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
 
@@ -682,16 +753,12 @@ def test_assert_equal_exact_pandas_df(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
     def test_assert_equal_exact_pandas_df(self):
-        import pyspark.pandas as ps
-
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
         df2 = ps.DataFrame(data=[30, 20, 10], columns=["Numbers"])
 
         assertDataFrameEqual(df1, df2)
 
     def test_assert_equal_approx_pandas_df(self):
-        import pyspark.pandas as ps
-
         df1 = ps.DataFrame(data=[10.0001, 20.32, 30.1], columns=["Numbers"])
         df2 = ps.DataFrame(data=[10.0, 20.32, 30.1], columns=["Numbers"])
 
@@ -699,7 +766,6 @@ def test_assert_equal_approx_pandas_df(self):
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
     def test_assert_error_pandas_pyspark_df(self):
-        import pyspark.pandas as ps
         import pandas as pd
 
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
@@ -742,8 +808,6 @@ def test_assert_error_pandas_pyspark_df(self):
         )
 
     def test_assert_error_non_pyspark_df(self):
-        import pyspark.pandas as ps
-
         dict1 = {"a": 1, "b": 2}
         dict2 = {"a": 1, "b": 2}
 
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 5461577fad1de..8e02803efe5cb 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -292,6 +292,7 @@ def assertSchemaEqual(actual: StructType, expected: StructType):
     >>> s1 = StructType([StructField("names", ArrayType(DoubleType(), True), True)])
     >>> s2 = StructType([StructField("names", ArrayType(DoubleType(), True), True)])
     >>> assertSchemaEqual(s1, s2)  # pass, schemas are identical
+
     >>> df1 = spark.createDataFrame(data=[(1, 1000), (2, 3000)], schema=["id", "number"])
     >>> df2 = spark.createDataFrame(data=[("1", 1000), ("2", 5000)], schema=["id", "amount"])
     >>> assertSchemaEqual(df1.schema, df2.schema)  # doctest: +IGNORE_EXCEPTION_DETAIL
@@ -414,16 +415,20 @@ def assertDataFrameEqual(
     >>> df1 = spark.createDataFrame(data=[("1", 1000), ("2", 3000)], schema=["id", "amount"])
     >>> df2 = spark.createDataFrame(data=[("1", 1000), ("2", 3000)], schema=["id", "amount"])
     >>> assertDataFrameEqual(df1, df2)  # pass, DataFrames are identical
+
     >>> df1 = spark.createDataFrame(data=[("1", 0.1), ("2", 3.23)], schema=["id", "amount"])
     >>> df2 = spark.createDataFrame(data=[("1", 0.109), ("2", 3.23)], schema=["id", "amount"])
     >>> assertDataFrameEqual(df1, df2, rtol=1e-1)  # pass, DataFrames are approx equal by rtol
+
     >>> df1 = spark.createDataFrame(data=[(1, 1000), (2, 3000)], schema=["id", "amount"])
     >>> list_of_rows = [Row(1, 1000), Row(2, 3000)]
     >>> assertDataFrameEqual(df1, list_of_rows)  # pass, actual and expected data are equal
+
     >>> import pyspark.pandas as ps
     >>> df1 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
     >>> df2 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
     >>> assertDataFrameEqual(df1, df2)  # pass, pandas-on-Spark DataFrames are equal
+
     >>> df1 = spark.createDataFrame(
     ...     data=[("1", 1000.00), ("2", 3000.00), ("3", 2000.00)], schema=["id", "amount"])
     >>> df2 = spark.createDataFrame(
@@ -436,20 +441,35 @@ def assertDataFrameEqual(
     ! Row(id='1', amount=1000.0)
     Row(id='2', amount=3000.0)
     ! Row(id='3', amount=2000.0)
-
     *** expected ***
     ! Row(id='1', amount=1001.0)
     Row(id='2', amount=3000.0)
     ! Row(id='3', amount=2003.0)
     """
-    if actual is None and expected is None:
-        return True
-    elif actual is None or expected is None:
-        return False
-
     import pyspark.pandas as ps
     from pyspark.testing.pandasutils import assertPandasOnSparkEqual
 
+    if actual is None and expected is None:
+        return True
+    elif actual is None:
+        raise PySparkAssertionError(
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "actual",
+                "actual_type": None,
+            },
+        )
+    elif expected is None:
+        raise PySparkAssertionError(
+            error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+            message_parameters={
+                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "arg_name": "expected",
+                "actual_type": None,
+            },
+        )
+
     try:
         # If Spark Connect dependencies are available, allow Spark Connect DataFrame
         from pyspark.sql.connect.dataframe import DataFrame as ConnectDataFrame

From 43a853660b08aa176bb8eb194ec74043006f219f Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 4 Aug 2023 08:45:44 +0900
Subject: [PATCH 154/986] [SPARK-44642][CONNECT] ReleaseExecute in
 ExecutePlanResponseReattachableIterator after it gets error from server

### What changes were proposed in this pull request?

Client:
When server returns error on the response stream via onError, the ExecutePlanResponseReattachableIterator will not see the stream finish with a ResultsComplete. Instead, a StatusRuntimeException will be thrown from next() or hasNext(). Handle catching that exception, telling the server to ReleaseExecute when we receive it, and rethrow it to the user.

Server:
We also have to tweak the behaviour of ReleaseAll to also interrupt the query. The previous behaviour that in case of a running query one has to first send an interrupt, and then release was done to prevent race conditions of an interrupt coming after ResultComplete. Now, this has been resolved with proper synchronization at the final moments of execution in ExecuteThreadRunner, and as we want the release to be async, having one ReleaseExecutel vs. needing a combination of Interrupt+ReleaseExecute simplifies things.

### Why are the changes needed?

If ReleaseExecute is not called by the client to acknowledge that the error was received, the execution will keep dangling on the server until cleaned up by timeout.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Automated tests will come with https://issues.apache.org/jira/browse/SPARK-44625.

Closes #42304 from juliuszsompolski/SPARK-44642.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d2d43b888aebbb5d4099faec26b076ef390890ce)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 ...cutePlanResponseReattachableIterator.scala | 120 +++++++++++-------
 .../main/protobuf/spark/connect/base.proto    |   4 +-
 .../execution/ExecuteThreadRunner.scala       |  31 +++--
 .../sql/connect/service/ExecuteHolder.scala   |   6 +-
 .../planner/SparkConnectServiceSuite.scala    |  25 +++-
 python/pyspark/sql/connect/proto/base_pb2.pyi |   4 +-
 6 files changed, 116 insertions(+), 74 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 008b3c3dd5c71..fc07deaa081f8 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -102,28 +102,33 @@ class ExecutePlanResponseReattachableIterator(
       throw new java.util.NoSuchElementException()
     }
 
-    // Get next response, possibly triggering reattach in case of stream error.
-    var firstTry = true
-    val ret = retry {
-      if (firstTry) {
-        // on first try, we use the existing iterator.
-        firstTry = false
-      } else {
-        // on retry, the iterator is borked, so we need a new one
-        iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+    try {
+      // Get next response, possibly triggering reattach in case of stream error.
+      var firstTry = true
+      val ret = retry {
+        if (firstTry) {
+          // on first try, we use the existing iterator.
+          firstTry = false
+        } else {
+          // on retry, the iterator is borked, so we need a new one
+          iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+        }
+        iterator.next()
       }
-      iterator.next()
-    }
 
-    // Record last returned response, to know where to restart in case of reattach.
-    lastReturnedResponseId = Some(ret.getResponseId)
-    if (ret.hasResultComplete) {
-      resultComplete = true
-      releaseExecute(None) // release all
-    } else {
-      releaseExecute(lastReturnedResponseId) // release until this response
+      // Record last returned response, to know where to restart in case of reattach.
+      lastReturnedResponseId = Some(ret.getResponseId)
+      if (ret.hasResultComplete) {
+        releaseAll()
+      } else {
+        releaseUntil(lastReturnedResponseId.get)
+      }
+      ret
+    } catch {
+      case NonFatal(ex) =>
+        releaseAll() // ReleaseExecute on server after error.
+        throw ex
     }
-    ret
   }
 
   override def hasNext(): Boolean = synchronized {
@@ -132,47 +137,64 @@ class ExecutePlanResponseReattachableIterator(
       return false
     }
     var firstTry = true
-    retry {
-      if (firstTry) {
-        // on first try, we use the existing iterator.
-        firstTry = false
-      } else {
-        // on retry, the iterator is borked, so we need a new one
-        iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
-      }
-      var hasNext = iterator.hasNext()
-      // Graceful reattach:
-      // If iterator ended, but there was no ResultComplete, it means that there is more,
-      // and we need to reattach.
-      if (!hasNext && !resultComplete) {
-        do {
+    try {
+      retry {
+        if (firstTry) {
+          // on first try, we use the existing iterator.
+          firstTry = false
+        } else {
+          // on retry, the iterator is borked, so we need a new one
           iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
-          assert(!resultComplete) // shouldn't change...
-          hasNext = iterator.hasNext()
-          // It's possible that the new iterator will be empty, so we need to loop to get another.
-          // Eventually, there will be a non empty iterator, because there's always a ResultComplete
-          // at the end of the stream.
-        } while (!hasNext)
+        }
+        var hasNext = iterator.hasNext()
+        // Graceful reattach:
+        // If iterator ended, but there was no ResultComplete, it means that there is more,
+        // and we need to reattach.
+        if (!hasNext && !resultComplete) {
+          do {
+            iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+            assert(!resultComplete) // shouldn't change...
+            hasNext = iterator.hasNext()
+            // It's possible that the new iterator will be empty, so we need to loop to get another.
+            // Eventually, there will be a non empty iterator, because there is always a
+            // ResultComplete inserted by the server at the end of the stream.
+          } while (!hasNext)
+        }
+        hasNext
       }
-      hasNext
+    } catch {
+      case NonFatal(ex) =>
+        releaseAll() // ReleaseExecute on server after error.
+        throw ex
     }
   }
 
   /**
-   * Inform the server to release the execution.
+   * Inform the server to release the buffered execution results until and including given result.
    *
    * This will send an asynchronous RPC which will not block this iterator, the iterator can
    * continue to be consumed.
+   */
+  private def releaseUntil(untilResponseId: String): Unit = {
+    if (!resultComplete) {
+      val request = createReleaseExecuteRequest(Some(untilResponseId))
+      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+    }
+  }
+
+  /**
+   * Inform the server to release the execution, either because all results were consumed, or the
+   * execution finished with error and the error was received.
    *
-   * Release with untilResponseId informs the server that the iterator has been consumed until and
-   * including response with that responseId, and these responses can be freed.
-   *
-   * Release with None means that the responses have been completely consumed and informs the
-   * server that the completed execution can be completely freed.
+   * This will send an asynchronous RPC which will not block this. The client continues executing,
+   * and if the release fails, server is equipped to deal with abandoned executions.
    */
-  private def releaseExecute(untilResponseId: Option[String]): Unit = {
-    val request = createReleaseExecuteRequest(untilResponseId)
-    rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+  private def releaseAll(): Unit = {
+    if (!resultComplete) {
+      val request = createReleaseExecuteRequest(None)
+      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+      resultComplete = true
+    }
   }
 
   /**
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/base.proto b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
index 151e828b3e903..79dbadba5bb07 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/base.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
@@ -750,9 +750,7 @@ message ReleaseExecuteRequest {
   optional string client_type = 4;
 
   // Release and close operation completely.
-  // Note: This should be called when the server side operation is finished, and ExecutePlan or
-  // ReattachExecute are finished processing the result stream, or inside onComplete / onError.
-  // This will not interrupt a running execution, but block until it's finished.
+  // This will also interrupt the query if it is running execution, and wait for it to be torn down.
   message ReleaseAll {}
 
   // Release all responses from the operation response stream up to and including
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index 662288177dc69..930ccae5d4c76 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -46,6 +46,8 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
 
   private var completed: Boolean = false
 
+  private val lock = new Object
+
   /** Launches the execution in a background thread, returns immediately. */
   def start(): Unit = {
     executionThread.start()
@@ -62,7 +64,7 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
    *   true if it was not interrupted before, false if it was already interrupted or completed.
    */
   def interrupt(): Boolean = {
-    synchronized {
+    lock.synchronized {
       if (!interrupted && !completed) {
         // checking completed prevents sending interrupt onError after onCompleted
         interrupted = true
@@ -119,7 +121,7 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
   // Inner executeInternal is wrapped by execute() for error handling.
   private def executeInternal() = {
     // synchronized - check if already got interrupted while starting.
-    synchronized {
+    lock.synchronized {
       if (interrupted) {
         throw new InterruptedException()
       }
@@ -160,14 +162,23 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
             s"${executeHolder.request.getPlan.getOpTypeCase} not supported.")
       }
 
-      if (executeHolder.reattachable) {
-        // Reattachable execution sends a ResultComplete at the end of the stream
-        // to signal that there isn't more coming.
-        executeHolder.responseObserver.onNext(createResultComplete())
-      }
-      synchronized {
-        // Prevent interrupt after onCompleted, and throwing error to an already closed stream.
-        completed = true
+      lock.synchronized {
+        // Synchronized before sending ResultComplete, and up until completing the result stream
+        // to prevent a situation in which a client of reattachable execution receives
+        // ResultComplete, and proceeds to send ReleaseExecute, and that triggers an interrupt
+        // before it finishes.
+
+        if (interrupted) {
+          // check if it got interrupted at the very last moment
+          throw new InterruptedException()
+        }
+        completed = true // no longer interruptible
+
+        if (executeHolder.reattachable) {
+          // Reattachable execution sends a ResultComplete at the end of the stream
+          // to signal that there isn't more coming.
+          executeHolder.responseObserver.onNext(createResultComplete())
+        }
         executeHolder.responseObserver.onCompleted()
       }
     }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index a49c0a8bacf98..4eb90f9f1639a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -156,11 +156,11 @@ private[connect] class ExecuteHolder(
   }
 
   /**
-   * Close the execution and remove it from the session. Note: It blocks joining the
-   * ExecuteThreadRunner thread, so it assumes that it's called when the execution is ending or
-   * ended. If it is desired to kill the execution, interrupt() should be called first.
+   * Close the execution and remove it from the session. Note: it first interrupts the runner if
+   * it's still running, and it waits for it to finish.
    */
   def close(): Unit = {
+    runner.interrupt()
     runner.join()
     eventsManager.postClosed()
     sessionHolder.removeExecuteHolder(operationId)
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index c29a9b9b62958..e833d12c4f595 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -493,24 +493,37 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
         .setSessionId(sessionId)
         .build()
 
-      // The observer is executed inside this thread. So
-      // we can perform the checks inside the observer.
+      // Even though the observer is executed inside this thread, this thread is also executing
+      // the SparkConnectService. If we throw an exception inside it, it will be caught by
+      // the ErrorUtils.handleError wrapping instance.executePlan and turned into an onError
+      // call with StatusRuntimeException, which will be eaten here.
+      var failures: mutable.ArrayBuffer[String] = new mutable.ArrayBuffer[String]()
       instance.executePlan(
         request,
         new StreamObserver[proto.ExecutePlanResponse] {
           override def onNext(v: proto.ExecutePlanResponse): Unit = {
-            fail("this should not receive responses")
+            // The query receives some pre-execution responses such as schema, but should
+            // never proceed to execution and get query results.
+            if (v.hasArrowBatch) {
+              failures += s"this should not receive query results but got $v"
+            }
           }
 
           override def onError(throwable: Throwable): Unit = {
-            assert(throwable.isInstanceOf[StatusRuntimeException])
-            verifyEvents.onError(throwable)
+            try {
+              assert(throwable.isInstanceOf[StatusRuntimeException])
+              verifyEvents.onError(throwable)
+            } catch {
+              case t: Throwable =>
+                failures += s"assertion $t validating processing onError($throwable)."
+            }
           }
 
           override def onCompleted(): Unit = {
-            fail("this should not complete")
+            failures += "this should not complete"
           }
         })
+      assert(failures.isEmpty, s"this should have no failures but got $failures")
       verifyEvents.onCompleted()
     }
   }
diff --git a/python/pyspark/sql/connect/proto/base_pb2.pyi b/python/pyspark/sql/connect/proto/base_pb2.pyi
index e870221594c13..a886ecbd61842 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/base_pb2.pyi
@@ -2554,9 +2554,7 @@ class ReleaseExecuteRequest(google.protobuf.message.Message):
 
     class ReleaseAll(google.protobuf.message.Message):
         """Release and close operation completely.
-        Note: This should be called when the server side operation is finished, and ExecutePlan or
-        ReattachExecute are finished processing the result stream, or inside onComplete / onError.
-        This will not interrupt a running execution, but block until it's finished.
+        This will also interrupt the query if it is running execution, and wait for it to be torn down.
         """
 
         DESCRIPTOR: google.protobuf.descriptor.Descriptor

From 1ad71ffc33ddf0861f62e389a5e8ad438f9afb26 Mon Sep 17 00:00:00 2001
From: Sergii Druzkin <65374769+sdruzkin@users.noreply.github.com>
Date: Thu, 3 Aug 2023 18:52:44 -0500
Subject: [PATCH 155/986] [MINOR][DOC] Fix a typo in ResolveReferencesInUpdate
 scaladoc

### What changes were proposed in this pull request?
Fixed a typo in the ResolveReferencesInUpdate documentation.

### Why are the changes needed?

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
CI

Closes #42322 from sdruzkin/master.

Authored-by: Sergii Druzkin <65374769+sdruzkin@users.noreply.github.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 52a9002fa2383bd9b26c77e62e0c6bcd46f8944b)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 .../spark/sql/catalyst/analysis/ResolveReferencesInUpdate.scala | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInUpdate.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInUpdate.scala
index cebc1e25f9213..ead323ce9857b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInUpdate.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInUpdate.scala
@@ -25,7 +25,7 @@ import org.apache.spark.sql.errors.QueryCompilationErrors
 /**
  * A virtual rule to resolve [[UnresolvedAttribute]] in [[UpdateTable]]. It's only used by the real
  * rule `ResolveReferences`. The column resolution order for [[UpdateTable]] is:
- * 1. Resolves the column to `AttributeReference`` with the output of the child plan. This
+ * 1. Resolves the column to `AttributeReference` with the output of the child plan. This
  *    includes metadata columns as well.
  * 2. Resolves the column to a literal function which is allowed to be invoked without braces, e.g.
  *    `SELECT col, current_date FROM t`.

From d85f3bc5a54302469824b2d8b5e71ebbcfc7c4c4 Mon Sep 17 00:00:00 2001
From: Enrico Minack <github@enrico.minack.dev>
Date: Fri, 4 Aug 2023 10:38:35 +0900
Subject: [PATCH 156/986] [SPARK-40770][PYTHON][FOLLOW-UP][3.5] Improved error
 messages for mapInPandas for schema mismatch

### What changes were proposed in this pull request?
This merges #39952 into 3.5 branch.

Similar to #38223, improve the error messages when a Python method provided to `DataFrame.mapInPandas` returns a Pandas DataFrame that does not match the expected schema.

With
```Python
df = spark.range(2).withColumn("v", col("id"))
```

**Mismatching column names:**
```Python
df.mapInPandas(lambda it: it, "id long, val long").show()
# was: KeyError: 'val'
# now: RuntimeError: Column names of the returned pandas.DataFrame do not match specified schema.
#      Missing: val  Unexpected: v
```

**Python function not returning iterator:**
```Python
df.mapInPandas(lambda it: 1, "id long").show()
# was: TypeError: 'int' object is not iterable
# now: TypeError: Return type of the user-defined function should be iterator of pandas.DataFrame, but is <class 'int'>
```

**Python function not returning iterator of pandas.DataFrame:**
```Python
df.mapInPandas(lambda it: [1], "id long").show()
# was: TypeError: Return type of the user-defined function should be Pandas.DataFrame, but is <class 'int'>
# now: TypeError: Return type of the user-defined function should be iterator of pandas.DataFrame, but is iterator of <class 'int'>
# sometimes: ValueError: A field of type StructType expects a pandas.DataFrame, but got: <class 'list'>
# now: TypeError: Return type of the user-defined function should be iterator of pandas.DataFrame, but is iterator of <class 'list'>
```

**Mismatching types (ValueError and TypeError):**
```Python
df.mapInPandas(lambda it: it, "id int, v string").show()
# was: pyarrow.lib.ArrowTypeError: Expected a string or bytes dtype, got int64
# now: pyarrow.lib.ArrowTypeError: Expected a string or bytes dtype, got int64
#      The above exception was the direct cause of the following exception:
#      TypeError: Exception thrown when converting pandas.Series (int64) with name 'v' to Arrow Array (string).

df.mapInPandas(lambda it: [pdf.assign(v=pdf["v"].apply(str)) for pdf in it], "id int, v double").show()
# was: pyarrow.lib.ArrowInvalid: Could not convert '0' with type str: tried to convert to double
# now: pyarrow.lib.ArrowInvalid: Could not convert '0' with type str: tried to convert to double
#      The above exception was the direct cause of the following exception:
#      ValueError: Exception thrown when converting pandas.Series (object) with name 'v' to Arrow Array (double).

with self.sql_conf({"spark.sql.execution.pandas.convertToArrowArraySafely": True}):
  df.mapInPandas(lambda it: [pdf.assign(v=pdf["v"].apply(str)) for pdf in it], "id int, v double").show()
# was: ValueError: Exception thrown when converting pandas.Series (object) to Arrow Array (double).
#      It can be caused by overflows or other unsafe conversions warned by Arrow. Arrow safe type check can be disabled
#      by using SQL config `spark.sql.execution.pandas.convertToArrowArraySafely`.
# now: ValueError: Exception thrown when converting pandas.Series (object) with name 'v' to Arrow Array (double).
#      It can be caused by overflows or other unsafe conversions warned by Arrow. Arrow safe type check can be disabled
#      by using SQL config `spark.sql.execution.pandas.convertToArrowArraySafely`.
```

### Why are the changes needed?
Existing errors are generic (`KeyError`) or meaningless (`'int' object is not iterable`). The errors should help users in spotting the mismatching columns by naming them.

The schema of the returned Pandas DataFrames can only be checked during processing the DataFrame, so such errors are very expensive. Therefore, they should be expressive.

### Does this PR introduce _any_ user-facing change?
This only changes error messages, not behaviour.

### How was this patch tested?
Tests all cases of schema mismatch for `DataFrame.mapInPandas`.

Closes #42316 from EnricoMi/branch-pyspark-map-in-pandas-schema-mismatch-3.5.

Authored-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py        |   5 +
 python/pyspark/pandas/frame.py                |   2 +-
 python/pyspark/sql/pandas/serializers.py      |   2 +-
 .../tests/connect/test_parity_arrow_map.py    |   3 +-
 .../tests/connect/test_parity_pandas_map.py   |  23 +-
 .../tests/pandas/test_pandas_cogrouped_map.py |   4 +-
 .../tests/pandas/test_pandas_grouped_map.py   |   4 +-
 .../sql/tests/pandas/test_pandas_map.py       | 265 ++++++++++++++++--
 python/pyspark/sql/tests/test_arrow_map.py    |  27 ++
 python/pyspark/worker.py                      | 205 ++++++++++----
 10 files changed, 440 insertions(+), 100 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index db80705e7d2da..2a3f454452e2a 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -713,6 +713,11 @@
       "Expected <expected> values for `<item>`, got <actual>."
     ]
   },
+  "UDF_RETURN_TYPE" : {
+    "message" : [
+      "Return type of the user-defined function should be <expected>, but is <actual>."
+    ]
+  },
   "UDTF_ARROW_TYPE_CAST_ERROR" : {
     "message" : [
       "Cannot convert the output value of the column '<col_name>' with type '<col_type>' to the specified return type of the column: '<arrow_type>'. Please check if the data types match and try again."
diff --git a/python/pyspark/pandas/frame.py b/python/pyspark/pandas/frame.py
index 6f2c8389a4c12..d8a3f812c33ab 100644
--- a/python/pyspark/pandas/frame.py
+++ b/python/pyspark/pandas/frame.py
@@ -399,7 +399,7 @@ class DataFrame(Frame, Generic[T]):
         `compute.ops_on_diff_frames` should be turned on;
         2, when `data` is a local dataset (Pandas DataFrame/numpy ndarray/list/etc),
         it will first collect the `index` to driver if necessary, and then apply
-        the `Pandas.DataFrame(...)` creation internally;
+        the `pandas.DataFrame(...)` creation internally;
 
     Examples
     --------
diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index 993bacbed67ba..f3037c8b39c86 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -163,7 +163,7 @@ def wrap_and_init_stream():
 
 class ArrowStreamPandasSerializer(ArrowStreamSerializer):
     """
-    Serializes Pandas.Series as Arrow data with Arrow streaming format.
+    Serializes pandas.Series as Arrow data with Arrow streaming format.
 
     Parameters
     ----------
diff --git a/python/pyspark/sql/tests/connect/test_parity_arrow_map.py b/python/pyspark/sql/tests/connect/test_parity_arrow_map.py
index ed51d0d3d1996..868aeaeff7fe6 100644
--- a/python/pyspark/sql/tests/connect/test_parity_arrow_map.py
+++ b/python/pyspark/sql/tests/connect/test_parity_arrow_map.py
@@ -22,7 +22,8 @@
 
 
 class ArrowMapParityTests(MapInArrowTestsMixin, ReusedConnectTestCase):
-    pass
+    def test_other_than_recordbatch_iter(self):
+        self.check_other_than_recordbatch_iter()
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/connect/test_parity_pandas_map.py b/python/pyspark/sql/tests/connect/test_parity_pandas_map.py
index 539fd98266b28..6ff9b0cb33b28 100644
--- a/python/pyspark/sql/tests/connect/test_parity_pandas_map.py
+++ b/python/pyspark/sql/tests/connect/test_parity_pandas_map.py
@@ -14,16 +14,35 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import unittest
+
+
 from pyspark.sql.tests.pandas.test_pandas_map import MapInPandasTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
 class MapInPandasParityTests(MapInPandasTestsMixin, ReusedConnectTestCase):
+    def test_other_than_dataframe_iter(self):
+        self.check_other_than_dataframe_iter()
+
+    def test_dataframes_with_other_column_names(self):
+        self.check_dataframes_with_other_column_names()
+
+    def test_dataframes_with_duplicate_column_names(self):
+        self.check_dataframes_with_duplicate_column_names()
+
+    def test_dataframes_with_less_columns(self):
+        self.check_dataframes_with_less_columns()
+
+    @unittest.skip("Fails in Spark Connect, should enable.")
+    def test_dataframes_with_incompatible_types(self):
+        self.check_dataframes_with_incompatible_types()
+
     def test_empty_dataframes_with_less_columns(self):
         self.check_empty_dataframes_with_less_columns()
 
-    def test_other_than_dataframe(self):
-        self.check_other_than_dataframe()
+    def test_empty_dataframes_with_other_columns(self):
+        self.check_empty_dataframes_with_other_columns()
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
index 8def08323bec3..b867156e71a5d 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
@@ -56,7 +56,6 @@ class CogroupedApplyInPandasTestsMixin:
     def data1(self):
         return (
             self.spark.range(10)
-            .toDF("id")
             .withColumn("ks", array([lit(i) for i in range(20, 30)]))
             .withColumn("k", explode(col("ks")))
             .withColumn("v", col("k") * 10)
@@ -67,7 +66,6 @@ def data1(self):
     def data2(self):
         return (
             self.spark.range(10)
-            .toDF("id")
             .withColumn("ks", array([lit(i) for i in range(20, 30)]))
             .withColumn("k", explode(col("ks")))
             .withColumn("v2", col("k") * 100)
@@ -168,7 +166,7 @@ def check_apply_in_pandas_not_returning_pandas_dataframe(self):
             fn=lambda lft, rgt: lft.size + rgt.size,
             error_class=PythonException,
             error_message_regex="Return type of the user-defined function "
-            "should be pandas.DataFrame, but is <class 'numpy.int64'>",
+            "should be pandas.DataFrame, but is int64.",
         )
 
     def test_apply_in_pandas_returning_column_names(self):
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_grouped_map.py b/python/pyspark/sql/tests/pandas/test_pandas_grouped_map.py
index 84e61d42843ae..742b3657f6e75 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_grouped_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_grouped_map.py
@@ -79,7 +79,6 @@ class GroupedApplyInPandasTestsMixin:
     def data(self):
         return (
             self.spark.range(10)
-            .toDF("id")
             .withColumn("vs", array([lit(i) for i in range(20, 30)]))
             .withColumn("v", explode(col("vs")))
             .drop("vs")
@@ -287,8 +286,7 @@ def test_apply_in_pandas_not_returning_pandas_dataframe(self):
     def check_apply_in_pandas_not_returning_pandas_dataframe(self):
         with self.assertRaisesRegex(
             PythonException,
-            "Return type of the user-defined function should be pandas.DataFrame, "
-            "but is <class 'tuple'>",
+            "Return type of the user-defined function should be pandas.DataFrame, but is tuple.",
         ):
             self._test_apply_in_pandas(lambda key, pdf: key)
 
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_map.py b/python/pyspark/sql/tests/pandas/test_pandas_map.py
index 3d9a90bc81c40..fb2f9214c5d8f 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_map.py
@@ -42,15 +42,46 @@
     cast(str, pandas_requirement_message or pyarrow_requirement_message),
 )
 class MapInPandasTestsMixin:
-    def test_map_in_pandas(self):
+    @staticmethod
+    def identity_dataframes_iter(*columns: str):
         def func(iterator):
             for pdf in iterator:
                 assert isinstance(pdf, pd.DataFrame)
-                assert pdf.columns == ["id"]
+                assert pdf.columns.tolist() == list(columns)
                 yield pdf
 
+        return func
+
+    @staticmethod
+    def identity_dataframes_wo_column_names_iter(*columns: str):
+        def func(iterator):
+            for pdf in iterator:
+                assert isinstance(pdf, pd.DataFrame)
+                assert pdf.columns.tolist() == list(columns)
+                yield pdf.rename(columns=list(pdf.columns).index)
+
+        return func
+
+    @staticmethod
+    def dataframes_and_empty_dataframe_iter(*columns: str):
+        def func(iterator):
+            for pdf in iterator:
+                yield pdf
+            # after yielding all elements, also yield an empty dataframe with given columns
+            yield pd.DataFrame([], columns=list(columns))
+
+        return func
+
+    def test_map_in_pandas(self):
+        # test returning iterator of DataFrames
+        df = self.spark.range(10, numPartitions=3)
+        actual = df.mapInPandas(self.identity_dataframes_iter("id"), "id long").collect()
+        expected = df.collect()
+        self.assertEqual(actual, expected)
+
+        # test returning list of DataFrames
         df = self.spark.range(10, numPartitions=3)
-        actual = df.mapInPandas(func, "id long").collect()
+        actual = df.mapInPandas(lambda it: [pdf for pdf in it], "id long").collect()
         expected = df.collect()
         self.assertEqual(actual, expected)
 
@@ -85,6 +116,18 @@ def func(iterator):
             expected = df.collect()
             self.assertEqual(actual, expected)
 
+    def test_no_column_names(self):
+        data = [(1, "foo"), (2, None), (3, "bar"), (4, "bar")]
+        df = self.spark.createDataFrame(data, "a int, b string")
+
+        def func(iterator):
+            for pdf in iterator:
+                yield pdf.rename(columns=list(pdf.columns).index)
+
+        actual = df.mapInPandas(func, df.schema).collect()
+        expected = df.collect()
+        self.assertEqual(actual, expected)
+
     def test_different_output_length(self):
         def func(iterator):
             for _ in iterator:
@@ -94,20 +137,161 @@ def func(iterator):
         actual = df.repartition(1).mapInPandas(func, "a long").collect()
         self.assertEqual(set((r.a for r in actual)), set(range(100)))
 
-    def test_other_than_dataframe(self):
+    def test_other_than_dataframe_iter(self):
         with QuietTest(self.sc):
-            self.check_other_than_dataframe()
+            self.check_other_than_dataframe_iter()
 
-    def check_other_than_dataframe(self):
-        def bad_iter(_):
+    def check_other_than_dataframe_iter(self):
+        def no_iter(_):
+            return 1
+
+        def bad_iter_elem(_):
             return iter([1])
 
         with self.assertRaisesRegex(
             PythonException,
-            "Return type of the user-defined function should be Pandas.DataFrame, "
-            "but is <class 'int'>",
+            "Return type of the user-defined function should be iterator of pandas.DataFrame, "
+            "but is int.",
+        ):
+            (self.spark.range(10, numPartitions=3).mapInPandas(no_iter, "a int").count())
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "Return type of the user-defined function should be iterator of pandas.DataFrame, "
+            "but is iterator of int.",
+        ):
+            (self.spark.range(10, numPartitions=3).mapInPandas(bad_iter_elem, "a int").count())
+
+    def test_dataframes_with_other_column_names(self):
+        with QuietTest(self.sc):
+            self.check_dataframes_with_other_column_names()
+
+    def check_dataframes_with_other_column_names(self):
+        def dataframes_with_other_column_names(iterator):
+            for pdf in iterator:
+                yield pdf.rename(columns={"id": "iid"})
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Column names of the returned pandas.DataFrame do not match "
+            "specified schema. Missing: id. Unexpected: iid.\n",
+        ):
+            (
+                self.spark.range(10, numPartitions=3)
+                .withColumn("value", lit(0))
+                .mapInPandas(dataframes_with_other_column_names, "id int, value int")
+                .collect()
+            )
+
+    def test_dataframes_with_duplicate_column_names(self):
+        with QuietTest(self.sc):
+            self.check_dataframes_with_duplicate_column_names()
+
+    def check_dataframes_with_duplicate_column_names(self):
+        def dataframes_with_other_column_names(iterator):
+            for pdf in iterator:
+                yield pdf.rename(columns={"id2": "id"})
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Column names of the returned pandas.DataFrame do not match "
+            "specified schema. Missing: id2.\n",
         ):
-            self.spark.range(10, numPartitions=3).mapInPandas(bad_iter, "a int, b string").count()
+            (
+                self.spark.range(10, numPartitions=3)
+                .withColumn("id2", lit(0))
+                .withColumn("value", lit(1))
+                .mapInPandas(dataframes_with_other_column_names, "id int, id2 long, value int")
+                .collect()
+            )
+
+    def test_dataframes_with_less_columns(self):
+        with QuietTest(self.sc):
+            self.check_dataframes_with_less_columns()
+
+    def check_dataframes_with_less_columns(self):
+        df = self.spark.range(10, numPartitions=3).withColumn("value", lit(0))
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Column names of the returned pandas.DataFrame do not match "
+            "specified schema. Missing: id2.\n",
+        ):
+            f = self.identity_dataframes_iter("id", "value")
+            (df.mapInPandas(f, "id int, id2 long, value int").collect())
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_LENGTH_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Number of columns of the returned pandas.DataFrame doesn't match "
+            "specified schema. Expected: 3 Actual: 2\n",
+        ):
+            f = self.identity_dataframes_wo_column_names_iter("id", "value")
+            (df.mapInPandas(f, "id int, id2 long, value int").collect())
+
+    def test_dataframes_with_more_columns(self):
+        df = self.spark.range(10, numPartitions=3).select(
+            "id", col("id").alias("value"), col("id").alias("extra")
+        )
+        expected = df.select("id", "value").collect()
+
+        f = self.identity_dataframes_iter("id", "value", "extra")
+        actual = df.repartition(1).mapInPandas(f, "id long, value long").collect()
+        self.assertEqual(actual, expected)
+
+        f = self.identity_dataframes_wo_column_names_iter("id", "value", "extra")
+        actual = df.repartition(1).mapInPandas(f, "id long, value long").collect()
+        self.assertEqual(actual, expected)
+
+    def test_dataframes_with_incompatible_types(self):
+        with QuietTest(self.sc):
+            self.check_dataframes_with_incompatible_types()
+
+    def check_dataframes_with_incompatible_types(self):
+        def func(iterator):
+            for pdf in iterator:
+                yield pdf.assign(id=pdf["id"].apply(str))
+
+        for safely in [True, False]:
+            with self.subTest(convertToArrowArraySafely=safely), self.sql_conf(
+                {"spark.sql.execution.pandas.convertToArrowArraySafely": safely}
+            ):
+                # sometimes we see ValueErrors
+                with self.subTest(convert="string to double"):
+                    expected = (
+                        r"ValueError: Exception thrown when converting pandas.Series "
+                        r"\(object\) with name 'id' to Arrow Array \(double\)."
+                    )
+                    if safely:
+                        expected = expected + (
+                            " It can be caused by overflows or other "
+                            "unsafe conversions warned by Arrow. Arrow safe type check "
+                            "can be disabled by using SQL config "
+                            "`spark.sql.execution.pandas.convertToArrowArraySafely`."
+                        )
+                    with self.assertRaisesRegex(PythonException, expected + "\n"):
+                        (
+                            self.spark.range(10, numPartitions=3)
+                            .mapInPandas(func, "id double")
+                            .collect()
+                        )
+
+                # sometimes we see TypeErrors
+                with self.subTest(convert="double to string"):
+                    with self.assertRaisesRegex(
+                        PythonException,
+                        r"TypeError: Exception thrown when converting pandas.Series "
+                        r"\(float64\) with name 'id' to Arrow Array \(string\).\n",
+                    ):
+                        (
+                            self.spark.range(10, numPartitions=3)
+                            .select(col("id").cast("double"))
+                            .mapInPandas(self.identity_dataframes_iter("id"), "id string")
+                            .collect()
+                        )
 
     def test_empty_iterator(self):
         def empty_iter(_):
@@ -124,16 +308,8 @@ def empty_dataframes(_):
         self.assertEqual(mapped.count(), 0)
 
     def test_empty_dataframes_without_columns(self):
-        def empty_dataframes_wo_columns(iterator):
-            for pdf in iterator:
-                yield pdf
-            # after yielding all elements of the iterator, also yield one dataframe without columns
-            yield pd.DataFrame([])
-
-        mapped = (
-            self.spark.range(10, numPartitions=3)
-            .toDF("id")
-            .mapInPandas(empty_dataframes_wo_columns, "id int")
+        mapped = self.spark.range(10, numPartitions=3).mapInPandas(
+            self.dataframes_and_empty_dataframe_iter(), "id int"
         )
         self.assertEqual(mapped.count(), 10)
 
@@ -142,16 +318,47 @@ def test_empty_dataframes_with_less_columns(self):
             self.check_empty_dataframes_with_less_columns()
 
     def check_empty_dataframes_with_less_columns(self):
-        def empty_dataframes_with_less_columns(iterator):
-            for pdf in iterator:
-                yield pdf
-            # after yielding all elements of the iterator, also yield a dataframe with less columns
-            yield pd.DataFrame([(1,)], columns=["id"])
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Column names of the returned pandas.DataFrame do not match "
+            "specified schema. Missing: value.\n",
+        ):
+            f = self.dataframes_and_empty_dataframe_iter("id")
+            (
+                self.spark.range(10, numPartitions=3)
+                .withColumn("value", lit(0))
+                .mapInPandas(f, "id int, value int")
+                .collect()
+            )
 
-        with self.assertRaisesRegex(PythonException, "KeyError: 'value'"):
-            self.spark.range(10, numPartitions=3).withColumn("value", lit(0)).toDF(
-                "id", "value"
-            ).mapInPandas(empty_dataframes_with_less_columns, "id int, value int").collect()
+    def test_empty_dataframes_with_more_columns(self):
+        mapped = self.spark.range(10, numPartitions=3).mapInPandas(
+            self.dataframes_and_empty_dataframe_iter("id", "extra"), "id int"
+        )
+        self.assertEqual(mapped.count(), 10)
+
+    def test_empty_dataframes_with_other_columns(self):
+        with QuietTest(self.sc):
+            self.check_empty_dataframes_with_other_columns()
+
+    def check_empty_dataframes_with_other_columns(self):
+        def empty_dataframes_with_other_columns(iterator):
+            for _ in iterator:
+                yield pd.DataFrame({"iid": [], "value": []})
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "PySparkRuntimeError: \\[RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF\\] "
+            "Column names of the returned pandas.DataFrame do not match "
+            "specified schema. Missing: id. Unexpected: iid.\n",
+        ):
+            (
+                self.spark.range(10, numPartitions=3)
+                .withColumn("value", lit(0))
+                .mapInPandas(empty_dataframes_with_other_columns, "id int, value int")
+                .collect()
+            )
 
     def test_chain_map_partitions_in_pandas(self):
         def func(iterator):
diff --git a/python/pyspark/sql/tests/test_arrow_map.py b/python/pyspark/sql/tests/test_arrow_map.py
index 050f2c3266507..15367743585e3 100644
--- a/python/pyspark/sql/tests/test_arrow_map.py
+++ b/python/pyspark/sql/tests/test_arrow_map.py
@@ -18,6 +18,7 @@
 import time
 import unittest
 
+from pyspark.sql.utils import PythonException
 from pyspark.testing.sqlutils import (
     ReusedSQLTestCase,
     have_pandas,
@@ -25,6 +26,7 @@
     pandas_requirement_message,
     pyarrow_requirement_message,
 )
+from pyspark.testing.utils import QuietTest
 
 if have_pyarrow:
     import pyarrow as pa
@@ -88,6 +90,31 @@ def func(iterator):
         actual = df.repartition(1).mapInArrow(func, "a long").collect()
         self.assertEqual(set((r.a for r in actual)), set(range(100)))
 
+    def test_other_than_recordbatch_iter(self):
+        with QuietTest(self.sc):
+            self.check_other_than_recordbatch_iter()
+
+    def check_other_than_recordbatch_iter(self):
+        def not_iter(_):
+            return 1
+
+        def bad_iter_elem(_):
+            return iter([1])
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "Return type of the user-defined function should be iterator "
+            "of pyarrow.RecordBatch, but is int.",
+        ):
+            (self.spark.range(10, numPartitions=3).mapInArrow(not_iter, "a int").count())
+
+        with self.assertRaisesRegex(
+            PythonException,
+            "Return type of the user-defined function should be iterator "
+            "of pyarrow.RecordBatch, but is iterator of int.",
+        ):
+            (self.spark.range(10, numPartitions=3).mapInArrow(bad_iter_elem, "a int").count())
+
     def test_empty_iterator(self):
         def empty_iter(_):
             return iter([])
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index cbc9faad47cd8..3dffdf2c642de 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -24,6 +24,7 @@
 from inspect import currentframe, getframeinfo, getfullargspec
 import importlib
 import json
+from typing import Iterator
 
 # 'resource' is a Unix specific module.
 has_resource_module = True
@@ -110,10 +111,13 @@ def wrap_scalar_pandas_udf(f, return_type):
 
     def verify_result_type(result):
         if not hasattr(result, "__len__"):
-            pd_type = "Pandas.DataFrame" if type(return_type) == StructType else "Pandas.Series"
-            raise TypeError(
-                "Return type of the user-defined function should be "
-                "{}, but is {}".format(pd_type, type(result))
+            pd_type = "pandas.DataFrame" if type(return_type) == StructType else "pandas.Series"
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": pd_type,
+                    "actual": type(result).__name__,
+                },
             )
         return result
 
@@ -134,67 +138,136 @@ def verify_result_length(result, length):
     )
 
 
-def wrap_batch_iter_udf(f, return_type):
+def wrap_pandas_batch_iter_udf(f, return_type):
     arrow_return_type = to_arrow_type(return_type)
+    iter_type_label = "pandas.DataFrame" if type(return_type) == StructType else "pandas.Series"
 
-    def verify_result_type(result):
-        if not hasattr(result, "__len__"):
-            pd_type = "Pandas.DataFrame" if type(return_type) == StructType else "Pandas.Series"
-            raise TypeError(
-                "Return type of the user-defined function should be "
-                "{}, but is {}".format(pd_type, type(result))
+    def verify_result(result):
+        if not isinstance(result, Iterator) and not hasattr(result, "__iter__"):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": "iterator of {}".format(iter_type_label),
+                    "actual": type(result).__name__,
+                },
             )
         return result
 
+    def verify_element(elem):
+        import pandas as pd
+
+        if not isinstance(elem, pd.DataFrame if type(return_type) == StructType else pd.Series):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": "iterator of {}".format(iter_type_label),
+                    "actual": "iterator of {}".format(type(elem).__name__),
+                },
+            )
+
+        verify_pandas_result(
+            elem, return_type, assign_cols_by_name=True, truncate_return_schema=True
+        )
+
+        return elem
+
     return lambda *iterator: map(
-        lambda res: (res, arrow_return_type), map(verify_result_type, f(*iterator))
+        lambda res: (res, arrow_return_type), map(verify_element, verify_result(f(*iterator)))
     )
 
 
-def verify_pandas_result(result, return_type, assign_cols_by_name):
+def verify_pandas_result(result, return_type, assign_cols_by_name, truncate_return_schema):
     import pandas as pd
 
-    if not isinstance(result, pd.DataFrame):
-        raise TypeError(
-            "Return type of the user-defined function should be "
-            "pandas.DataFrame, but is {}".format(type(result))
-        )
+    if type(return_type) == StructType:
+        if not isinstance(result, pd.DataFrame):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": "pandas.DataFrame",
+                    "actual": type(result).__name__,
+                },
+            )
+
+        # check the schema of the result only if it is not empty or has columns
+        if not result.empty or len(result.columns) != 0:
+            # if any column name of the result is a string
+            # the column names of the result have to match the return type
+            #   see create_array in pyspark.sql.pandas.serializers.ArrowStreamPandasSerializer
+            field_names = set([field.name for field in return_type.fields])
+            # only the first len(field_names) result columns are considered
+            # when truncating the return schema
+            result_columns = (
+                result.columns[: len(field_names)] if truncate_return_schema else result.columns
+            )
+            column_names = set(result_columns)
+            if (
+                assign_cols_by_name
+                and any(isinstance(name, str) for name in result.columns)
+                and column_names != field_names
+            ):
+                missing = sorted(list(field_names.difference(column_names)))
+                missing = f" Missing: {', '.join(missing)}." if missing else ""
 
-    # check the schema of the result only if it is not empty or has columns
-    if not result.empty or len(result.columns) != 0:
-        # if any column name of the result is a string
-        # the column names of the result have to match the return type
-        #   see create_array in pyspark.sql.pandas.serializers.ArrowStreamPandasSerializer
-        field_names = set([field.name for field in return_type.fields])
-        column_names = set(result.columns)
-        if (
-            assign_cols_by_name
-            and any(isinstance(name, str) for name in result.columns)
-            and column_names != field_names
-        ):
-            missing = sorted(list(field_names.difference(column_names)))
-            missing = f" Missing: {', '.join(missing)}." if missing else ""
-
-            extra = sorted(list(column_names.difference(field_names)))
-            extra = f" Unexpected: {', '.join(extra)}." if extra else ""
+                extra = sorted(list(column_names.difference(field_names)))
+                extra = f" Unexpected: {', '.join(extra)}." if extra else ""
 
-            raise PySparkRuntimeError(
-                error_class="RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF",
+                raise PySparkRuntimeError(
+                    error_class="RESULT_COLUMNS_MISMATCH_FOR_PANDAS_UDF",
+                    message_parameters={
+                        "missing": missing,
+                        "extra": extra,
+                    },
+                )
+            # otherwise the number of columns of result have to match the return type
+            elif len(result_columns) != len(return_type):
+                raise PySparkRuntimeError(
+                    error_class="RESULT_LENGTH_MISMATCH_FOR_PANDAS_UDF",
+                    message_parameters={
+                        "expected": str(len(return_type)),
+                        "actual": str(len(result.columns)),
+                    },
+                )
+    else:
+        if not isinstance(result, pd.Series):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={"expected": "pandas.Series", "actual": type(result).__name__},
+            )
+
+
+def wrap_arrow_batch_iter_udf(f, return_type):
+    arrow_return_type = to_arrow_type(return_type)
+
+    def verify_result(result):
+        if not isinstance(result, Iterator) and not hasattr(result, "__iter__"):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
                 message_parameters={
-                    "missing": missing,
-                    "extra": extra,
+                    "expected": "iterator of pyarrow.RecordBatch",
+                    "actual": type(result).__name__,
                 },
             )
-        # otherwise the number of columns of result have to match the return type
-        elif len(result.columns) != len(return_type):
-            raise PySparkRuntimeError(
-                error_class="RESULT_LENGTH_MISMATCH_FOR_PANDAS_UDF",
+        return result
+
+    def verify_element(elem):
+        import pyarrow as pa
+
+        if not isinstance(elem, pa.RecordBatch):
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
                 message_parameters={
-                    "expected": str(len(return_type)),
-                    "actual": str(len(result.columns)),
+                    "expected": "iterator of pyarrow.RecordBatch",
+                    "actual": "iterator of {}".format(type(elem).__name__),
                 },
             )
 
+        return elem
+
+    return lambda *iterator: map(
+        lambda res: (res, arrow_return_type), map(verify_element, verify_result(f(*iterator)))
+    )
+
 
 def wrap_cogrouped_map_pandas_udf(f, return_type, argspec, runner_conf):
     _assign_cols_by_name = assign_cols_by_name(runner_conf)
@@ -211,7 +284,9 @@ def wrapped(left_key_series, left_value_series, right_key_series, right_value_se
             key_series = left_key_series if not left_df.empty else right_key_series
             key = tuple(s[0] for s in key_series)
             result = f(key, left_df, right_df)
-        verify_pandas_result(result, return_type, _assign_cols_by_name)
+        verify_pandas_result(
+            result, return_type, _assign_cols_by_name, truncate_return_schema=False
+        )
 
         return result
 
@@ -229,7 +304,9 @@ def wrapped(key_series, value_series):
         elif len(argspec.args) == 2:
             key = tuple(s[0] for s in key_series)
             result = f(key, pd.concat(value_series, axis=1))
-        verify_pandas_result(result, return_type, _assign_cols_by_name)
+        verify_pandas_result(
+            result, return_type, _assign_cols_by_name, truncate_return_schema=False
+        )
 
         return result
 
@@ -278,9 +355,12 @@ def wrapped(key_series, value_series_gen, state):
 
         def verify_element(result):
             if not isinstance(result, pd.DataFrame):
-                raise TypeError(
-                    "The type of element in return iterator of the user-defined function "
-                    "should be pandas.DataFrame, but is {}".format(type(result))
+                raise PySparkTypeError(
+                    error_class="UDF_RETURN_TYPE",
+                    message_parameters={
+                        "expected": "iterator of pandas.DataFrame",
+                        "actual": "iterator of {}".format(type(result).__name__),
+                    },
                 )
             # the number of columns of result have to match the return type
             # but it is fine for result to have no columns at all if it is empty
@@ -299,17 +379,20 @@ def verify_element(result):
             return result
 
         if isinstance(result_iter, pd.DataFrame):
-            raise TypeError(
-                "Return type of the user-defined function should be "
-                "iterable of pandas.DataFrame, but is {}".format(type(result_iter))
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": "iterable of pandas.DataFrame",
+                    "actual": type(result_iter).__name__,
+                },
             )
 
         try:
             iter(result_iter)
         except TypeError:
-            raise TypeError(
-                "Return type of the user-defined function should be "
-                "iterable, but is {}".format(type(result_iter))
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={"expected": "iterable", "actual": type(result_iter).__name__},
             )
 
         result_iter_with_validation = (verify_element(x) for x in result_iter)
@@ -423,11 +506,11 @@ def read_single_udf(pickleSer, infile, eval_type, runner_conf, udf_index):
     if eval_type in (PythonEvalType.SQL_SCALAR_PANDAS_UDF, PythonEvalType.SQL_ARROW_BATCHED_UDF):
         return arg_offsets, wrap_scalar_pandas_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF:
-        return arg_offsets, wrap_batch_iter_udf(func, return_type)
+        return arg_offsets, wrap_pandas_batch_iter_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_MAP_PANDAS_ITER_UDF:
-        return arg_offsets, wrap_batch_iter_udf(func, return_type)
+        return arg_offsets, wrap_pandas_batch_iter_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_MAP_ARROW_ITER_UDF:
-        return arg_offsets, wrap_batch_iter_udf(func, return_type)
+        return arg_offsets, wrap_arrow_batch_iter_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF:
         argspec = getfullargspec(chained_func)  # signature was lost when wrapping it
         return arg_offsets, wrap_grouped_map_pandas_udf(func, return_type, argspec, runner_conf)
@@ -547,7 +630,9 @@ def verify_result(result):
                         )
 
                 # Verify the type and the schema of the result.
-                verify_pandas_result(result, return_type, assign_cols_by_name=False)
+                verify_pandas_result(
+                    result, return_type, assign_cols_by_name=False, truncate_return_schema=False
+                )
                 return result
 
             return lambda *a: map(lambda res: (res, arrow_return_type), map(verify_result, f(*a)))

From cd653cff3cbe37a1ab06d74a58d29b4264335506 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 4 Aug 2023 12:03:54 +0900
Subject: [PATCH 157/986] [SPARK-44664][PYTHON][CONNECT] Release the execute
 when closing the iterator in Python client

This PR implements the symmetry of https://github.com/apache/spark/pull/42331 and https://github.com/apache/spark/pull/42304

1. It releases the execute when the error is raised during the iteration
2. When you explicitly close the generator, (e.g., either `generator.close()` or explicit `GeneratorExit`), it releases the execution.

For the feature parity, see also https://github.com/apache/spark/pull/42331 and https://github.com/apache/spark/pull/42304

See also https://github.com/apache/spark/pull/42331 and https://github.com/apache/spark/pull/42304

Tests will be added separately.

Closes #42330 from HyukjinKwon/python-error-release.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 492f6fac02a00b9ad545d84fa3f10a021a8e71b9)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/reattach.py | 110 ++++++++++++------
 1 file changed, 72 insertions(+), 38 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index 4d4cce0ca4413..702107d97f549 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -111,9 +111,9 @@ def send(self, value: Any) -> pb2.ExecutePlanResponse:
         self._last_returned_response_id = ret.response_id
         if ret.HasField("result_complete"):
             self._result_complete = True
-            self._release_execute(None)  # release all
+            self._release_all()
         else:
-            self._release_execute(self._last_returned_response_id)
+            self._release_until(self._last_returned_response_id)
         self._current = None
         return ret
 
@@ -125,61 +125,93 @@ def _has_next(self) -> bool:
             # After response complete response
             return False
         else:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
-                with attempt:
-                    # on first try, we use the existing iterator.
-                    if not attempt.is_first_try():
-                        # on retry, the iterator is borked, so we need a new one
-                        self._iterator = iter(
-                            self._stub.ReattachExecute(self._create_reattach_execute_request())
-                        )
-
-                    if self._current is None:
-                        try:
-                            self._current = next(self._iterator)
-                        except StopIteration:
-                            pass
-
-                    has_next = self._current is not None
-
-                    # Graceful reattach:
-                    # If iterator ended, but there was no ResponseComplete, it means that
-                    # there is more, and we need to reattach. While ResponseComplete didn't
-                    # arrive, we keep reattaching.
-                    if not self._result_complete and not has_next:
-                        while not has_next:
+            try:
+                for attempt in Retrying(
+                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+                ):
+                    with attempt:
+                        # on first try, we use the existing iterator.
+                        if not attempt.is_first_try():
+                            # on retry, the iterator is borked, so we need a new one
                             self._iterator = iter(
                                 self._stub.ReattachExecute(self._create_reattach_execute_request())
                             )
-                            # shouldn't change
-                            assert not self._result_complete
+
+                        if self._current is None:
                             try:
                                 self._current = next(self._iterator)
                             except StopIteration:
                                 pass
-                            has_next = self._current is not None
-                    return has_next
+
+                        has_next = self._current is not None
+
+                        # Graceful reattach:
+                        # If iterator ended, but there was no ResponseComplete, it means that
+                        # there is more, and we need to reattach. While ResponseComplete didn't
+                        # arrive, we keep reattaching.
+                        if not self._result_complete and not has_next:
+                            while not has_next:
+                                self._iterator = iter(
+                                    self._stub.ReattachExecute(
+                                        self._create_reattach_execute_request()
+                                    )
+                                )
+                                # shouldn't change
+                                assert not self._result_complete
+                                try:
+                                    self._current = next(self._iterator)
+                                except StopIteration:
+                                    pass
+                                has_next = self._current is not None
+                        return has_next
+            except Exception as e:
+                self._release_all()
+                raise e
             return False
 
-    def _release_execute(self, until_response_id: Optional[str]) -> None:
+    def _release_until(self, until_response_id: str) -> None:
         """
-        Inform the server to release the execution.
+        Inform the server to release the buffered execution results until and including given
+        result.
 
         This will send an asynchronous RPC which will not block this iterator, the iterator can
         continue to be consumed.
+        """
+        if self._result_complete:
+            return
+
+        from pyspark.sql.connect.client.core import SparkConnectClient
+        from pyspark.sql.connect.client.core import Retrying
 
-        Release with untilResponseId informs the server that the iterator has been consumed until
-        and including response with that responseId, and these responses can be freed.
+        request = self._create_release_execute_request(until_response_id)
 
-        Release with None means that the responses have been completely consumed and informs the
-        server that the completed execution can be completely freed.
+        def target() -> None:
+            try:
+                for attempt in Retrying(
+                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
+                ):
+                    with attempt:
+                        self._stub.ReleaseExecute(request)
+            except Exception as e:
+                warnings.warn(f"ReleaseExecute failed with exception: {e}.")
+
+        ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
+
+    def _release_all(self) -> None:
+        """
+        Inform the server to release the execution, either because all results were consumed,
+        or the execution finished with error and the error was received.
+
+        This will send an asynchronous RPC which will not block this. The client continues
+        executing, and if the release fails, server is equipped to deal with abandoned executions.
         """
+        if self._result_complete:
+            return
+
         from pyspark.sql.connect.client.core import SparkConnectClient
         from pyspark.sql.connect.client.core import Retrying
 
-        request = self._create_release_execute_request(until_response_id)
+        request = self._create_release_execute_request(None)
 
         def target() -> None:
             try:
@@ -192,6 +224,7 @@ def target() -> None:
                 warnings.warn(f"ReleaseExecute failed with exception: {e}.")
 
         ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
+        self._result_complete = True
 
     def _create_reattach_execute_request(self) -> pb2.ReattachExecuteRequest:
         reattach = pb2.ReattachExecuteRequest(
@@ -231,6 +264,7 @@ def throw(self, type: Any = None, value: Any = None, traceback: Any = None) -> A
         super().throw(type, value, traceback)
 
     def close(self) -> None:
+        self._release_all()
         return super().close()
 
     def __del__(self) -> None:

From b2966d7627216845d6a1c3854077a02c6d4e84c5 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 4 Aug 2023 12:05:19 +0900
Subject: [PATCH 158/986] [SPARK-44624][CONNECT] Retry ExecutePlan in case
 initial request didn't reach server

### What changes were proposed in this pull request?

If the ExecutePlan never reached the server, a ReattachExecute will fail with INVALID_HANDLE.OPERATION_NOT_FOUND. In that case, we could try to send ExecutePlan again.

### Why are the changes needed?

This solves an edge case of reattachable execution where the initial execution never reached the server.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Testing these failures is difficult, will require some special testing setup

Closes #42282 from juliuszsompolski/SPARK-44624-fix.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 52437bc73695e392bee60fbb340b6de4324b25d8)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 ...cutePlanResponseReattachableIterator.scala | 43 +++++++++++++++----
 .../sql/connect/client/GrpcRetryHandler.scala | 10 ++++-
 2 files changed, 43 insertions(+), 10 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index fc07deaa081f8..41648c3c10048 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -20,7 +20,8 @@ import java.util.UUID
 
 import scala.util.control.NonFatal
 
-import io.grpc.ManagedChannel
+import io.grpc.{ManagedChannel, StatusRuntimeException}
+import io.grpc.protobuf.StatusProto
 import io.grpc.stub.StreamObserver
 
 import org.apache.spark.connect.proto
@@ -38,15 +39,12 @@ import org.apache.spark.internal.Logging
  * Initial iterator is the result of an ExecutePlan on the request, but it can be reattached with
  * ReattachExecute request. ReattachExecute request is provided the responseId of last returned
  * ExecutePlanResponse on the iterator to return a new iterator from server that continues after
- * that.
+ * that. If the initial ExecutePlan did not even reach the server, and hence reattach fails with
+ * INVALID_HANDLE.OPERATION_NOT_FOUND, we attempt to retry ExecutePlan.
  *
  * In reattachable execute the server does buffer some responses in case the client needs to
  * backtrack. To let server release this buffer sooner, this iterator asynchronously sends
  * ReleaseExecute RPCs that instruct the server to release responses that it already processed.
- *
- * Note: If the initial ExecutePlan did not even reach the server and execution didn't start, the
- * ReattachExecute can still fail with INVALID_HANDLE.OPERATION_NOT_FOUND, failing the whole
- * operation.
  */
 class ExecutePlanResponseReattachableIterator(
     request: proto.ExecutePlanRequest,
@@ -113,7 +111,7 @@ class ExecutePlanResponseReattachableIterator(
           // on retry, the iterator is borked, so we need a new one
           iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
         }
-        iterator.next()
+        callIter(_.next())
       }
 
       // Record last returned response, to know where to restart in case of reattach.
@@ -146,7 +144,7 @@ class ExecutePlanResponseReattachableIterator(
           // on retry, the iterator is borked, so we need a new one
           iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
         }
-        var hasNext = iterator.hasNext()
+        var hasNext = callIter(_.hasNext())
         // Graceful reattach:
         // If iterator ended, but there was no ResultComplete, it means that there is more,
         // and we need to reattach.
@@ -154,7 +152,7 @@ class ExecutePlanResponseReattachableIterator(
           do {
             iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
             assert(!resultComplete) // shouldn't change...
-            hasNext = iterator.hasNext()
+            hasNext = callIter(_.hasNext())
             // It's possible that the new iterator will be empty, so we need to loop to get another.
             // Eventually, there will be a non empty iterator, because there is always a
             // ResultComplete inserted by the server at the end of the stream.
@@ -197,6 +195,33 @@ class ExecutePlanResponseReattachableIterator(
     }
   }
 
+  /**
+   * Call next() or hasNext() on the iterator. If this fails with this operationId not existing on
+   * the server, this means that the initial ExecutePlan request didn't even reach the server. In
+   * that case, attempt to start again with ExecutePlan.
+   *
+   * Called inside retry block, so retryable failure will get handled upstream.
+   */
+  private def callIter[V](iterFun: java.util.Iterator[proto.ExecutePlanResponse] => V) = {
+    try {
+      iterFun(iterator)
+    } catch {
+      case ex: StatusRuntimeException
+          if StatusProto
+            .fromThrowable(ex)
+            .getMessage
+            .contains("INVALID_HANDLE.OPERATION_NOT_FOUND") =>
+        if (lastReturnedResponseId.isDefined) {
+          throw new IllegalStateException(
+            "OPERATION_NOT_FOUND on the server but responses were already received from it.",
+            ex)
+        }
+        // Try a new ExecutePlan, and throw upstream for retry.
+        iterator = rawBlockingStub.executePlan(initialRequest)
+        throw new GrpcRetryHandler.RetryException
+    }
+  }
+
   /**
    * Create result callback to the asynchronouse ReleaseExecute. The client does not block on
    * ReleaseExecute and continues with iteration, but if it fails with a retryable error, the
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index ef446399f1674..47ff975b26756 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -164,7 +164,9 @@ private[client] object GrpcRetryHandler extends Logging {
     try {
       return fn
     } catch {
-      case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
+      case NonFatal(e)
+          if (retryPolicy.canRetry(e) || e.isInstanceOf[RetryException])
+            && currentRetryNum < retryPolicy.maxRetries =>
         logWarning(
           s"Non fatal error during RPC execution: $e, " +
             s"retrying (currentRetryNum=$currentRetryNum)")
@@ -209,4 +211,10 @@ private[client] object GrpcRetryHandler extends Logging {
       maxBackoff: FiniteDuration = FiniteDuration(1, "min"),
       backoffMultiplier: Double = 4.0,
       canRetry: Throwable => Boolean = retryException) {}
+
+  /**
+   * An exception that can be thrown upstream when inside retry and which will be retryable
+   * regardless of policy.
+   */
+  class RetryException extends Throwable
 }

From aeb0cabbea7377b77e7befd937babcfd390816e5 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 4 Aug 2023 11:26:36 +0800
Subject: [PATCH 159/986] [SPARK-44653][SQL] Non-trivial DataFrame unions
 should not break caching

### What changes were proposed in this pull request?

We have a long-standing tricky optimization in `Dataset.union`, which invokes the optimizer rule `CombineUnions` to pre-optimize the analyzed plan. This is to avoid too large analyzed plan for a specific dataframe query pattern `df1.union(df2).union(df3).union...`.

This tricky optimization is designed to break dataframe caching, but we thought it was fine as people usually won't cache the intermediate dataframe in a union chain. However, `CombineUnions` gets improved from time to time (e.g. https://github.com/apache/spark/pull/35214) and now it can optimize a wide range of Union patterns. Now it's possible that people union two dataframe, do something with `select`, and cache it. Then the dataframe is unioned again with other dataframes and people expect the df cache to work. However the cache won't work due to the tricky optimization in `Dataset.union`.

This PR updates `Dataset.union` to only combine adjacent Unions to match the original purpose.

### Why are the changes needed?

Fix perf regression due to breaking df caching

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new test

Closes #42315 from cloud-fan/union.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit ce1fe57cdd7004a891ef8b97c77ac96b3719efcd)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    |  2 +-
 .../scala/org/apache/spark/sql/Dataset.scala  | 56 ++++++++++++++++---
 .../apache/spark/sql/DatasetCacheSuite.scala  | 21 +++++++
 3 files changed, 70 insertions(+), 9 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 95cf3aee16f3a..bb2a86556c031 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -157,7 +157,7 @@ abstract class Optimizer(catalogManager: CatalogManager)
     //   since the other rules might make two separate Unions operators adjacent.
     Batch("Inline CTE", Once,
       InlineCTE()) ::
-    Batch("Union", Once,
+    Batch("Union", fixedPoint,
       RemoveNoopOperators,
       CombineUnions,
       RemoveNoopUnion) ::
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index 7b2259a6d9945..61c83829d2012 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -42,11 +42,10 @@ import org.apache.spark.sql.catalyst.catalog.HiveTableRelation
 import org.apache.spark.sql.catalyst.encoders._
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.json.{JacksonGenerator, JSONOptions}
-import org.apache.spark.sql.catalyst.optimizer.CombineUnions
 import org.apache.spark.sql.catalyst.parser.{ParseException, ParserUtils}
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
-import org.apache.spark.sql.catalyst.trees.TreeNodeTag
+import org.apache.spark.sql.catalyst.trees.{TreeNodeTag, TreePattern}
 import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.catalyst.util.{CharVarcharUtils, IntervalUtils}
 import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLId
@@ -2241,6 +2240,51 @@ class Dataset[T] private[sql](
     Offset(Literal(n), logicalPlan)
   }
 
+  // This breaks caching, but it's usually ok because it addresses a very specific use case:
+  // using union to union many files or partitions.
+  private def combineUnions(plan: LogicalPlan): LogicalPlan = {
+    plan.transformDownWithPruning(_.containsPattern(TreePattern.UNION)) {
+      case Distinct(u: Union) =>
+        Distinct(flattenUnion(u, isUnionDistinct = true))
+      // Only handle distinct-like 'Deduplicate', where the keys == output
+      case Deduplicate(keys: Seq[Attribute], u: Union) if AttributeSet(keys) == u.outputSet =>
+        Deduplicate(keys, flattenUnion(u, true))
+      case u: Union =>
+        flattenUnion(u, isUnionDistinct = false)
+    }
+  }
+
+  private def flattenUnion(u: Union, isUnionDistinct: Boolean): Union = {
+    var changed = false
+    // We only need to look at the direct children of Union, as the nested adjacent Unions should
+    // have been combined already by previous `Dataset#union` transformations.
+    val newChildren = u.children.flatMap {
+      case Distinct(Union(children, byName, allowMissingCol))
+          if isUnionDistinct && byName == u.byName && allowMissingCol == u.allowMissingCol =>
+        changed = true
+        children
+      // Only handle distinct-like 'Deduplicate', where the keys == output
+      case Deduplicate(keys: Seq[Attribute], child @ Union(children, byName, allowMissingCol))
+          if AttributeSet(keys) == child.outputSet && isUnionDistinct && byName == u.byName &&
+            allowMissingCol == u.allowMissingCol =>
+        changed = true
+        children
+      case Union(children, byName, allowMissingCol)
+          if !isUnionDistinct && byName == u.byName && allowMissingCol == u.allowMissingCol =>
+        changed = true
+        children
+      case other =>
+        Seq(other)
+    }
+    if (changed) {
+      val newUnion = Union(newChildren)
+      newUnion.copyTagsFrom(u)
+      newUnion
+    } else {
+      u
+    }
+  }
+
   /**
    * Returns a new Dataset containing union of rows in this Dataset and another Dataset.
    *
@@ -2272,9 +2316,7 @@ class Dataset[T] private[sql](
    * @since 2.0.0
    */
   def union(other: Dataset[T]): Dataset[T] = withSetOperator {
-    // This breaks caching, but it's usually ok because it addresses a very specific use case:
-    // using union to union many files or partitions.
-    CombineUnions(Union(logicalPlan, other.logicalPlan))
+    combineUnions(Union(logicalPlan, other.logicalPlan))
   }
 
   /**
@@ -2366,9 +2408,7 @@ class Dataset[T] private[sql](
    * @since 3.1.0
    */
   def unionByName(other: Dataset[T], allowMissingColumns: Boolean): Dataset[T] = withSetOperator {
-    // This breaks caching, but it's usually ok because it addresses a very specific use case:
-    // using union to union many files or partitions.
-    CombineUnions(Union(logicalPlan :: other.logicalPlan :: Nil, true, allowMissingColumns))
+    combineUnions(Union(logicalPlan :: other.logicalPlan :: Nil, true, allowMissingColumns))
   }
 
   /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
index 6033b9fee848e..a657c6212aa07 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
@@ -273,4 +273,25 @@ class DatasetCacheSuite extends QueryTest
       }
     }
   }
+
+  test("SPARK-44653: non-trivial DataFrame unions should not break caching") {
+    val df1 = Seq(1 -> 1).toDF("i", "j")
+    val df2 = Seq(2 -> 2).toDF("i", "j")
+    val df3 = Seq(3 -> 3).toDF("i", "j")
+
+    withClue("positive") {
+      val unionDf = df1.union(df2).select($"i")
+      unionDf.cache()
+      val finalDf = unionDf.union(df3.select($"i"))
+      assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+    }
+
+    withClue("negative") {
+      val unionDf = df1.union(df2)
+      unionDf.cache()
+      val finalDf = unionDf.union(df3)
+      // It's by design to break caching here.
+      assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+    }
+  }
 }

From dfc83e6508c75f9aef2bec7a52d098ac6ba90c9b Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 4 Aug 2023 15:07:07 +0800
Subject: [PATCH 160/986] [SPARK-44640][PYTHON][3.5] Improve error messages for
 Python UDTF returning non Iterable

### What changes were proposed in this pull request?

This PR cherry-picks https://github.com/apache/spark/commit/380c0f2033fb83b5e4f13693d2576d72c5cc01f2. It improves error messages when the result of a Python UDTF is not an Iterable. It also improves the error messages when a UDTF encounters an exception when executing `eval`.

### Why are the changes needed?

To make Python UDTFs more user-friendly.

### Does this PR introduce _any_ user-facing change?

Yes. For example this UDTF:
```
udtf(returnType="x: int")
class TestUDTF:
    def eval(self, a):
        return a
```
Before this PR, it fails with this error for regular UDTFs:
```
    return tuple(map(verify_and_convert_result, res))
TypeError: 'int' object is not iterable
```
And this error for arrow-optimized UDTFs:
```
    raise ValueError("DataFrame constructor not properly called!")
ValueError: DataFrame constructor not properly called!
```

After this PR, the error message will be:
`pyspark.errors.exceptions.base.PySparkRuntimeError: [UDTF_RETURN_NOT_ITERABLE] The return value of the UDTF is invalid. It should be an iterable (e.g., generator or list), but got 'int'. Please make sure that the UDTF returns one of these types.`

### How was this patch tested?

New UTs.

Closes #42337 from allisonwang-db/spark-44640-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/errors/error_classes.py |  5 +++
 python/pyspark/sql/tests/test_udtf.py  | 42 +++++++++++++++++++-
 python/pyspark/sql/udtf.py             | 40 +++++++++++++++----
 python/pyspark/worker.py               | 53 ++++++++++++++------------
 4 files changed, 105 insertions(+), 35 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 2a3f454452e2a..4ea3e67881029 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -728,6 +728,11 @@
       "User defined table function encountered an error in the '<method_name>' method: <error>"
     ]
   },
+  "UDTF_RETURN_NOT_ITERABLE" : {
+    "message" : [
+      "The return value of the UDTF is invalid. It should be an iterable (e.g., generator or list), but got '<type>'. Please make sure that the UDTF returns one of these types."
+    ]
+  },
   "UDTF_RETURN_SCHEMA_MISMATCH" : {
     "message" : [
       "The number of columns in the result does not match the specified schema. Expected column count: <expected>, Actual column count: <actual>. Please make sure the values returned by the function have the same number of columns as specified in the output schema."
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 5c33cb148341a..4bab77038e0cc 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -155,6 +155,15 @@ def eval(self, a: int):
         with self.assertRaisesRegex(PythonException, "Unexpected tuple 1 with StructType"):
             func(lit(1)).collect()
 
+    def test_udtf_with_invalid_return_value(self):
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def eval(self, a):
+                return a
+
+        with self.assertRaisesRegex(PythonException, "UDTF_RETURN_NOT_ITERABLE"):
+            TestUDTF(lit(1)).collect()
+
     def test_udtf_eval_with_no_return(self):
         @udtf(returnType="a: int")
         class TestUDTF:
@@ -350,6 +359,35 @@ def terminate(self):
             ],
         )
 
+    def test_init_with_exception(self):
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def __init__(self):
+                raise Exception("error")
+
+            def eval(self):
+                yield 1,
+
+        with self.assertRaisesRegex(
+            PythonException,
+            r"\[UDTF_EXEC_ERROR\] User defined table function encountered an error "
+            r"in the '__init__' method: error",
+        ):
+            TestUDTF().show()
+
+    def test_eval_with_exception(self):
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def eval(self):
+                raise Exception("error")
+
+        with self.assertRaisesRegex(
+            PythonException,
+            r"\[UDTF_EXEC_ERROR\] User defined table function encountered an error "
+            r"in the 'eval' method: error",
+        ):
+            TestUDTF().show()
+
     def test_terminate_with_exceptions(self):
         @udtf(returnType="a: int, b: int")
         class TestUDTF:
@@ -361,8 +399,8 @@ def terminate(self):
 
         with self.assertRaisesRegex(
             PythonException,
-            "User defined table function encountered an error in the 'terminate' "
-            "method: terminate error",
+            r"\[UDTF_EXEC_ERROR\] User defined table function encountered an error "
+            r"in the 'terminate' method: terminate error",
         ):
             TestUDTF(lit(1)).collect()
 
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index 50bba56880cf1..c2830d56db561 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -19,11 +19,12 @@
 """
 import sys
 import warnings
-from typing import Any, Iterator, Type, TYPE_CHECKING, Optional, Union
+from functools import wraps
+from typing import Any, Iterable, Iterator, Type, TYPE_CHECKING, Optional, Union, Callable
 
 from py4j.java_gateway import JavaObject
 
-from pyspark.errors import PySparkAttributeError, PySparkTypeError
+from pyspark.errors import PySparkAttributeError, PySparkRuntimeError, PySparkTypeError
 from pyspark.rdd import PythonEvalType
 from pyspark.sql.column import _to_java_column, _to_seq
 from pyspark.sql.pandas.utils import require_minimum_pandas_version, require_minimum_pyarrow_version
@@ -107,23 +108,46 @@ def _vectorize_udtf(cls: Type) -> Type:
     """Vectorize a Python UDTF handler class."""
     import pandas as pd
 
+    # Wrap the exception thrown from the UDTF in a PySparkRuntimeError.
+    def wrap_func(f: Callable[..., Any]) -> Callable[..., Any]:
+        @wraps(f)
+        def evaluate(*a: Any) -> Any:
+            try:
+                return f(*a)
+            except Exception as e:
+                raise PySparkRuntimeError(
+                    error_class="UDTF_EXEC_ERROR",
+                    message_parameters={"method_name": f.__name__, "error": str(e)},
+                )
+
+        return evaluate
+
     class VectorizedUDTF:
         def __init__(self) -> None:
             self.func = cls()
 
         def eval(self, *args: pd.Series) -> Iterator[pd.DataFrame]:
             if len(args) == 0:
-                yield pd.DataFrame(self.func.eval())
+                yield pd.DataFrame(wrap_func(self.func.eval)())
             else:
                 # Create tuples from the input pandas Series, each tuple
                 # represents a row across all Series.
                 row_tuples = zip(*args)
                 for row in row_tuples:
-                    yield pd.DataFrame(self.func.eval(*row))
-
-        def terminate(self) -> Iterator[pd.DataFrame]:
-            if hasattr(self.func, "terminate"):
-                yield pd.DataFrame(self.func.terminate())
+                    res = wrap_func(self.func.eval)(*row)
+                    if res is not None and not isinstance(res, Iterable):
+                        raise PySparkRuntimeError(
+                            error_class="UDTF_RETURN_NOT_ITERABLE",
+                            message_parameters={
+                                "type": type(res).__name__,
+                            },
+                        )
+                    yield pd.DataFrame(res)
+
+        if hasattr(cls, "terminate"):
+
+            def terminate(self) -> Iterator[pd.DataFrame]:
+                yield pd.DataFrame(wrap_func(self.func.terminate)())
 
     vectorized_udtf = VectorizedUDTF
     vectorized_udtf.__name__ = cls.__name__
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 3dffdf2c642de..c9eedd43b2905 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -24,7 +24,7 @@
 from inspect import currentframe, getframeinfo, getfullargspec
 import importlib
 import json
-from typing import Iterator
+from typing import Iterable, Iterator
 
 # 'resource' is a Unix specific module.
 has_resource_module = True
@@ -602,6 +602,7 @@ def read_udtf(pickleSer, infile, eval_type):
 
         def wrap_arrow_udtf(f, return_type):
             arrow_return_type = to_arrow_type(return_type)
+            return_type_size = len(return_type)
 
             def verify_result(result):
                 import pandas as pd
@@ -610,7 +611,7 @@ def verify_result(result):
                     raise PySparkTypeError(
                         error_class="INVALID_ARROW_UDTF_RETURN_TYPE",
                         message_parameters={
-                            "type_name": type(result).__name_,
+                            "type_name": type(result).__name__,
                             "value": str(result),
                         },
                     )
@@ -620,11 +621,11 @@ def verify_result(result):
                 # result dataframe may contain an empty row. For example, when a UDTF is
                 # defined as follows: def eval(self): yield tuple().
                 if len(result) > 0 or len(result.columns) > 0:
-                    if len(result.columns) != len(return_type):
+                    if len(result.columns) != return_type_size:
                         raise PySparkRuntimeError(
                             error_class="UDTF_RETURN_SCHEMA_MISMATCH",
                             message_parameters={
-                                "expected": str(len(return_type)),
+                                "expected": str(return_type_size),
                                 "actual": str(len(result.columns)),
                             },
                         )
@@ -652,13 +653,7 @@ def mapper(_, it):
                     yield from eval(*[a[o] for o in arg_offsets])
             finally:
                 if terminate is not None:
-                    try:
-                        yield from terminate()
-                    except BaseException as e:
-                        raise PySparkRuntimeError(
-                            error_class="UDTF_EXEC_ERROR",
-                            message_parameters={"method_name": "terminate", "error": str(e)},
-                        )
+                    yield from terminate()
 
         return mapper, None, ser, ser
 
@@ -667,15 +662,16 @@ def mapper(_, it):
         def wrap_udtf(f, return_type):
             assert return_type.needConversion()
             toInternal = return_type.toInternal
+            return_type_size = len(return_type)
 
             def verify_and_convert_result(result):
                 # TODO(SPARK-44005): support returning non-tuple values
                 if result is not None and hasattr(result, "__len__"):
-                    if len(result) != len(return_type):
+                    if len(result) != return_type_size:
                         raise PySparkRuntimeError(
                             error_class="UDTF_RETURN_SCHEMA_MISMATCH",
                             message_parameters={
-                                "expected": str(len(return_type)),
+                                "expected": str(return_type_size),
                                 "actual": str(len(result)),
                             },
                         )
@@ -683,16 +679,29 @@ def verify_and_convert_result(result):
 
             # Evaluate the function and return a tuple back to the executor.
             def evaluate(*a) -> tuple:
-                res = f(*a)
+                try:
+                    res = f(*a)
+                except Exception as e:
+                    raise PySparkRuntimeError(
+                        error_class="UDTF_EXEC_ERROR",
+                        message_parameters={"method_name": f.__name__, "error": str(e)},
+                    )
+
                 if res is None:
                     # If the function returns None or does not have an explicit return statement,
                     # an empty tuple is returned to the executor.
                     # This is because directly constructing tuple(None) results in an exception.
                     return tuple()
-                else:
-                    # If the function returns a result, we map it to the internal representation and
-                    # returns the results as a tuple.
-                    return tuple(map(verify_and_convert_result, res))
+
+                if not isinstance(res, Iterable):
+                    raise PySparkRuntimeError(
+                        error_class="UDTF_RETURN_NOT_ITERABLE",
+                        message_parameters={"type": type(res).__name__},
+                    )
+
+                # If the function returns a result, we map it to the internal representation and
+                # returns the results as a tuple.
+                return tuple(map(verify_and_convert_result, res))
 
             return evaluate
 
@@ -710,13 +719,7 @@ def mapper(_, it):
                     yield eval(*[a[o] for o in arg_offsets])
             finally:
                 if terminate is not None:
-                    try:
-                        yield terminate()
-                    except BaseException as e:
-                        raise PySparkRuntimeError(
-                            error_class="UDTF_EXEC_ERROR",
-                            message_parameters={"method_name": "terminate", "error": str(e)},
-                        )
+                    yield terminate()
 
         return mapper, None, ser, ser
 

From d18305d5e9312a438317b9b2ff800f2c074e3917 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 4 Aug 2023 16:06:57 +0200
Subject: [PATCH 161/986] [SPARK-44656][CONNECT] Make all iterators
 CloseableIterators

### What changes were proposed in this pull request?

This makes sure that all iterators used in Spark Connect scala client are `CloseableIterator`.

1. Makes `CustomSparkConnectBlockingStub.executePlan` return `CloseableIterator` and make all wrappers respect that.
2. Makes `ExecutePlanResponseReattachableIterator` a `CloseableIterator`, with an implementation that will inform the server that query result can be released with ReleaseExecute.
3. Makes `SparkResult.iterator` explicitly a `CloseableIterator`, and also register the `SparkResult.responses` iterator as with the `SparkResultCloseable` cleaner, which will make it close upon GC, if not closed explicitly sooner.
4. Because `Dataset.toLocalIterator` requires a Java iterator, implement a conversion to `java.util.Iterator with AutoCloseable` to be returned there
5. Using `CloseableIterator` consistently everywhere else removes the need to convert between iterator types.

### Why are the changes needed?

Properly closeable iterators are needed for resource management, and with reattachable execution to inform server that processing finished.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Exercise current E2E tests.

Co-authored-by: Alice Sayutina <alice.sayutinadatabricks.com>

Closes #42331 from juliuszsompolski/closeable_iterators.

Lead-authored-by: Juliusz Sompolski <julek@databricks.com>
Co-authored-by: Alice Sayutina <alice.sayutina@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 84ea6f242e4982187edc0a8f5786e7dc69ec31d7)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Dataset.scala  |  4 +-
 .../org/apache/spark/sql/SparkSession.scala   | 21 ++++-----
 .../connect/client/CloseableIterator.scala    | 46 +++++++++++++++++++
 .../CustomSparkConnectBlockingStub.scala      | 10 ++--
 ...cutePlanResponseReattachableIterator.scala | 34 ++++++++------
 .../client/GrpcExceptionConverter.scala       | 10 +++-
 .../sql/connect/client/GrpcRetryHandler.scala | 24 ++++++----
 .../connect/client/SparkConnectClient.scala   |  7 +--
 .../sql/connect/client/SparkResult.scala      | 37 ++++++++-------
 .../client/arrow/ArrowDeserializer.scala      |  1 +
 .../client/arrow/ArrowEncoderUtils.scala      |  2 -
 .../client/arrow/ArrowSerializer.scala        |  1 +
 .../apache/spark/sql/ClientE2ETestSuite.scala |  2 +-
 .../client/arrow/ArrowEncoderSuite.scala      |  1 +
 14 files changed, 133 insertions(+), 67 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 0f7b376955c96..8a7dce3987a44 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -2832,7 +2832,7 @@ class Dataset[T] private[sql] (
   /**
    * Returns an iterator that contains all rows in this Dataset.
    *
-   * The returned iterator implements [[AutoCloseable]]. For memory management it is better to
+   * The returned iterator implements [[AutoCloseable]]. For resource management it is better to
    * close it once you are done. If you don't close it, it and the underlying data will be cleaned
    * up once the iterator is garbage collected.
    *
@@ -2840,7 +2840,7 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   def toLocalIterator(): java.util.Iterator[T] = {
-    collectResult().destructiveIterator
+    collectResult().destructiveIterator.asJava
   }
 
   /**
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 59f3f3526ab2f..355d7edadc788 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -252,10 +252,8 @@ class SparkSession private[sql] (
           .setSql(sqlText)
           .addAllPosArgs(args.map(toLiteralProto).toIterable.asJava)))
     val plan = proto.Plan.newBuilder().setCommand(cmd)
-    val responseSeq = client.execute(plan.build()).asScala.toSeq
-
-    // sequence is a lazy stream, force materialize it to make sure it is consumed.
-    responseSeq.foreach(_ => ())
+    // .toBuffer forces that the iterator is consumed and closed
+    val responseSeq = client.execute(plan.build()).toBuffer.toSeq
 
     val response = responseSeq
       .find(_.hasSqlCommandResult)
@@ -311,10 +309,8 @@ class SparkSession private[sql] (
             .setSql(sqlText)
             .putAllArgs(args.asScala.mapValues(toLiteralProto).toMap.asJava)))
       val plan = proto.Plan.newBuilder().setCommand(cmd)
-      val responseSeq = client.execute(plan.build()).asScala.toSeq
-
-      // sequence is a lazy stream, force materialize it to make sure it is consumed.
-      responseSeq.foreach(_ => ())
+      // .toBuffer forces that the iterator is consumed and closed
+      val responseSeq = client.execute(plan.build()).toBuffer.toSeq
 
       val response = responseSeq
         .find(_.hasSqlCommandResult)
@@ -548,15 +544,14 @@ class SparkSession private[sql] (
     f(builder)
     builder.getCommonBuilder.setPlanId(planIdGenerator.getAndIncrement())
     val plan = proto.Plan.newBuilder().setRoot(builder).build()
-    client.execute(plan).asScala.foreach(_ => ())
+    // .toBuffer forces that the iterator is consumed and closed
+    client.execute(plan).toBuffer
   }
 
   private[sql] def execute(command: proto.Command): Seq[ExecutePlanResponse] = {
     val plan = proto.Plan.newBuilder().setCommand(command).build()
-    val seq = client.execute(plan).asScala.toSeq
-    // sequence is a lazy stream, force materialize it to make sure it is consumed.
-    seq.foreach(_ => ())
-    seq
+    // .toBuffer forces that the iterator is consumed and closed
+    client.execute(plan).toBuffer.toSeq
   }
 
   private[sql] def registerUdf(udf: proto.CommonInlineUserDefinedFunction): Unit = {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
new file mode 100644
index 0000000000000..891e50ed6e7bd
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
@@ -0,0 +1,46 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.client
+
+private[sql] trait CloseableIterator[E] extends Iterator[E] with AutoCloseable { self =>
+  def asJava: java.util.Iterator[E] = new java.util.Iterator[E] with AutoCloseable {
+    override def next() = self.next()
+
+    override def hasNext() = self.hasNext
+
+    override def close() = self.close()
+  }
+}
+
+private[sql] object CloseableIterator {
+
+  /**
+   * Wrap iterator to get CloseeableIterator, if it wasn't closeable already.
+   */
+  def apply[T](iterator: Iterator[T]): CloseableIterator[T] = iterator match {
+    case closeable: CloseableIterator[T] => closeable
+    case _ =>
+      new CloseableIterator[T] {
+        override def next(): T = iterator.next()
+
+        override def hasNext(): Boolean = iterator.hasNext
+
+        override def close() = { /* empty */ }
+      }
+  }
+}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
index bb20901eade17..73ff01e223f29 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql.connect.client
 
+import scala.collection.JavaConverters._
+
 import io.grpc.ManagedChannel
 
 import org.apache.spark.connect.proto._
@@ -27,15 +29,17 @@ private[client] class CustomSparkConnectBlockingStub(
   private val stub = SparkConnectServiceGrpc.newBlockingStub(channel)
   private val retryHandler = new GrpcRetryHandler(retryPolicy)
 
-  def executePlan(request: ExecutePlanRequest): java.util.Iterator[ExecutePlanResponse] = {
+  def executePlan(request: ExecutePlanRequest): CloseableIterator[ExecutePlanResponse] = {
     GrpcExceptionConverter.convert {
       GrpcExceptionConverter.convertIterator[ExecutePlanResponse](
-        retryHandler.RetryIterator(request, stub.executePlan))
+        retryHandler.RetryIterator[ExecutePlanRequest, ExecutePlanResponse](
+          request,
+          r => CloseableIterator(stub.executePlan(r).asScala)))
     }
   }
 
   def executePlanReattachable(
-      request: ExecutePlanRequest): java.util.Iterator[ExecutePlanResponse] = {
+      request: ExecutePlanRequest): CloseableIterator[ExecutePlanResponse] = {
     GrpcExceptionConverter.convert {
       GrpcExceptionConverter.convertIterator[ExecutePlanResponse](
         // Don't use retryHandler - own retry handling is inside.
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 41648c3c10048..d412d9b577064 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -50,7 +50,7 @@ class ExecutePlanResponseReattachableIterator(
     request: proto.ExecutePlanRequest,
     channel: ManagedChannel,
     retryPolicy: GrpcRetryHandler.RetryPolicy)
-    extends java.util.Iterator[proto.ExecutePlanResponse]
+    extends CloseableIterator[proto.ExecutePlanResponse]
     with Logging {
 
   val operationId = if (request.hasOperationId) {
@@ -90,8 +90,8 @@ class ExecutePlanResponseReattachableIterator(
 
   // Initial iterator comes from ExecutePlan request.
   // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
-  // throw error on first iterator.hasNext() or iterator.next()
-  private var iterator: java.util.Iterator[proto.ExecutePlanResponse] =
+  // throw error on first iter.hasNext() or iter.next()
+  private var iter: java.util.Iterator[proto.ExecutePlanResponse] =
     rawBlockingStub.executePlan(initialRequest)
 
   override def next(): proto.ExecutePlanResponse = synchronized {
@@ -105,11 +105,11 @@ class ExecutePlanResponseReattachableIterator(
       var firstTry = true
       val ret = retry {
         if (firstTry) {
-          // on first try, we use the existing iterator.
+          // on first try, we use the existing iter.
           firstTry = false
         } else {
-          // on retry, the iterator is borked, so we need a new one
-          iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+          // on retry, the iter is borked, so we need a new one
+          iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
         }
         callIter(_.next())
       }
@@ -138,23 +138,23 @@ class ExecutePlanResponseReattachableIterator(
     try {
       retry {
         if (firstTry) {
-          // on first try, we use the existing iterator.
+          // on first try, we use the existing iter.
           firstTry = false
         } else {
-          // on retry, the iterator is borked, so we need a new one
-          iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+          // on retry, the iter is borked, so we need a new one
+          iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
         }
         var hasNext = callIter(_.hasNext())
         // Graceful reattach:
-        // If iterator ended, but there was no ResultComplete, it means that there is more,
+        // If iter ended, but there was no ResultComplete, it means that there is more,
         // and we need to reattach.
         if (!hasNext && !resultComplete) {
           do {
-            iterator = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+            iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
             assert(!resultComplete) // shouldn't change...
             hasNext = callIter(_.hasNext())
-            // It's possible that the new iterator will be empty, so we need to loop to get another.
-            // Eventually, there will be a non empty iterator, because there is always a
+            // It's possible that the new iter will be empty, so we need to loop to get another.
+            // Eventually, there will be a non empty iter, because there is always a
             // ResultComplete inserted by the server at the end of the stream.
           } while (!hasNext)
         }
@@ -167,6 +167,10 @@ class ExecutePlanResponseReattachableIterator(
     }
   }
 
+  override def close(): Unit = {
+    releaseAll()
+  }
+
   /**
    * Inform the server to release the buffered execution results until and including given result.
    *
@@ -204,7 +208,7 @@ class ExecutePlanResponseReattachableIterator(
    */
   private def callIter[V](iterFun: java.util.Iterator[proto.ExecutePlanResponse] => V) = {
     try {
-      iterFun(iterator)
+      iterFun(iter)
     } catch {
       case ex: StatusRuntimeException
           if StatusProto
@@ -217,7 +221,7 @@ class ExecutePlanResponseReattachableIterator(
             ex)
         }
         // Try a new ExecutePlan, and throw upstream for retry.
-        iterator = rawBlockingStub.executePlan(initialRequest)
+        iter = rawBlockingStub.executePlan(initialRequest)
         throw new GrpcRetryHandler.RetryException
     }
   }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index 1a42ec821d84f..7ff3421a5a045 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -31,8 +31,8 @@ private[client] object GrpcExceptionConverter {
     }
   }
 
-  def convertIterator[T](iter: java.util.Iterator[T]): java.util.Iterator[T] = {
-    new java.util.Iterator[T] {
+  def convertIterator[T](iter: CloseableIterator[T]): CloseableIterator[T] = {
+    new CloseableIterator[T] {
       override def hasNext: Boolean = {
         convert {
           iter.hasNext
@@ -44,6 +44,12 @@ private[client] object GrpcExceptionConverter {
           iter.next()
         }
       }
+
+      override def close(): Unit = {
+        convert {
+          iter.close()
+        }
+      }
     }
   }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 47ff975b26756..6dad5b4b3a9b4 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -45,13 +45,13 @@ private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler
    * @tparam U
    *   The type of the response.
    */
-  class RetryIterator[T, U](request: T, call: T => java.util.Iterator[U])
-      extends java.util.Iterator[U] {
+  class RetryIterator[T, U](request: T, call: T => CloseableIterator[U])
+      extends CloseableIterator[U] {
 
     private var opened = false // we only retry if it fails on first call when using the iterator
-    private var iterator = call(request)
+    private var iter = call(request)
 
-    private def retryIter[V](f: java.util.Iterator[U] => V) = {
+    private def retryIter[V](f: Iterator[U] => V) = {
       if (!opened) {
         opened = true
         var firstTry = true
@@ -61,26 +61,30 @@ private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler
             firstTry = false
           } else {
             // on retry, we need to call the RPC again.
-            iterator = call(request)
+            iter = call(request)
           }
-          f(iterator)
+          f(iter)
         }
       } else {
-        f(iterator)
+        f(iter)
       }
     }
 
     override def next: U = {
-      retryIter(_.next())
+      retryIter(_.next)
     }
 
     override def hasNext: Boolean = {
-      retryIter(_.hasNext())
+      retryIter(_.hasNext)
+    }
+
+    override def close(): Unit = {
+      iter.close()
     }
   }
 
   object RetryIterator {
-    def apply[T, U](request: T, call: T => java.util.Iterator[U]): RetryIterator[T, U] =
+    def apply[T, U](request: T, call: T => CloseableIterator[U]): RetryIterator[T, U] =
       new RetryIterator(request, call)
   }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index 3d20be88888c3..a028df536cf88 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -75,10 +75,11 @@ private[sql] class SparkConnectClient(
   /**
    * Execute the plan and return response iterator.
    *
-   * It returns an open iterator. The caller needs to ensure that this iterator is fully consumed,
-   * otherwise resources held by a re-attachable query may be left dangling until server timeout.
+   * It returns CloseableIterator. For resource management it is better to close it once you are
+   * done. If you don't close it, it and the underlying data will be cleaned up once the iterator
+   * is garbage collected.
    */
-  def execute(plan: proto.Plan): java.util.Iterator[proto.ExecutePlanResponse] = {
+  def execute(plan: proto.Plan): CloseableIterator[proto.ExecutePlanResponse] = {
     artifactManager.uploadAllClassFileArtifacts()
     val request = proto.ExecutePlanRequest
       .newBuilder()
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index 93c32aa2954a3..609e84779fbfc 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -27,14 +27,14 @@ import org.apache.arrow.vector.types.pojo
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, RowEncoder}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ProductEncoder, UnboundRowEncoder}
-import org.apache.spark.sql.connect.client.arrow.{AbstractMessageIterator, ArrowDeserializingIterator, CloseableIterator, ConcatenatingArrowStreamReader, MessageIterator}
+import org.apache.spark.sql.connect.client.arrow.{AbstractMessageIterator, ArrowDeserializingIterator, ConcatenatingArrowStreamReader, MessageIterator}
 import org.apache.spark.sql.connect.client.util.Cleanable
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter
 import org.apache.spark.sql.types.{DataType, StructType}
 import org.apache.spark.sql.util.ArrowUtils
 
 private[sql] class SparkResult[T](
-    responses: java.util.Iterator[proto.ExecutePlanResponse],
+    responses: CloseableIterator[proto.ExecutePlanResponse],
     allocator: BufferAllocator,
     encoder: AgnosticEncoder[T],
     timeZoneId: String)
@@ -198,22 +198,22 @@ private[sql] class SparkResult[T](
   /**
    * Returns an iterator over the contents of the result.
    */
-  def iterator: java.util.Iterator[T] with AutoCloseable =
+  def iterator: CloseableIterator[T] =
     buildIterator(destructive = false)
 
   /**
    * Returns an destructive iterator over the contents of the result.
    */
-  def destructiveIterator: java.util.Iterator[T] with AutoCloseable =
+  def destructiveIterator: CloseableIterator[T] =
     buildIterator(destructive = true)
 
-  private def buildIterator(destructive: Boolean): java.util.Iterator[T] with AutoCloseable = {
-    new java.util.Iterator[T] with AutoCloseable {
-      private[this] var iterator: CloseableIterator[T] = _
+  private def buildIterator(destructive: Boolean): CloseableIterator[T] = {
+    new CloseableIterator[T] {
+      private[this] var iter: CloseableIterator[T] = _
 
       private def initialize(): Unit = {
-        if (iterator == null) {
-          iterator = new ArrowDeserializingIterator(
+        if (iter == null) {
+          iter = new ArrowDeserializingIterator(
             createEncoder(encoder, schema),
             new ConcatenatingArrowStreamReader(
               allocator,
@@ -225,17 +225,17 @@ private[sql] class SparkResult[T](
 
       override def hasNext: Boolean = {
         initialize()
-        iterator.hasNext
+        iter.hasNext
       }
 
       override def next(): T = {
         initialize()
-        iterator.next()
+        iter.next()
       }
 
       override def close(): Unit = {
-        if (iterator != null) {
-          iterator.close()
+        if (iter != null) {
+          iter.close()
         }
       }
     }
@@ -246,7 +246,7 @@ private[sql] class SparkResult[T](
    */
   override def close(): Unit = cleaner.close()
 
-  override val cleaner: AutoCloseable = new SparkResultCloseable(resultMap)
+  override val cleaner: AutoCloseable = new SparkResultCloseable(resultMap, responses)
 
   private class ResultMessageIterator(destructive: Boolean) extends AbstractMessageIterator {
     private[this] var totalBytesRead = 0L
@@ -296,7 +296,12 @@ private[sql] class SparkResult[T](
   }
 }
 
-private[client] class SparkResultCloseable(resultMap: mutable.Map[Int, (Long, Seq[ArrowMessage])])
+private[client] class SparkResultCloseable(
+    resultMap: mutable.Map[Int, (Long, Seq[ArrowMessage])],
+    responses: CloseableIterator[proto.ExecutePlanResponse])
     extends AutoCloseable {
-  override def close(): Unit = resultMap.values.foreach(_._2.foreach(_.close()))
+  override def close(): Unit = {
+    resultMap.values.foreach(_._2.foreach(_.close()))
+    responses.close()
+  }
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 509ceffc55282..55dd640f1b6b1 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -37,6 +37,7 @@ import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
+import org.apache.spark.sql.connect.client.CloseableIterator
 import org.apache.spark.sql.errors.{CompilationErrors, ExecutionErrors}
 import org.apache.spark.sql.types.Decimal
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
index ed27336985416..b9badc5c936fa 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
@@ -40,8 +40,6 @@ private[arrow] object ArrowEncoderUtils {
   }
 }
 
-trait CloseableIterator[E] extends Iterator[E] with AutoCloseable
-
 private[arrow] object StructVectors {
   def unapply(v: AnyRef): Option[(StructVector, Seq[FieldVector])] = v match {
     case root: VectorSchemaRoot => Option((null, root.getFieldVectors.asScala.toSeq))
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
index c4a2cfa8a850f..9e67522711c6e 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
@@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.util.{SparkDateTimeUtils, SparkIntervalUtils}
+import org.apache.spark.sql.connect.client.CloseableIterator
 import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.sql.util.ArrowUtils
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 1403d460b516f..98fbff84ba674 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -755,7 +755,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
 
   private def checkSameResult[E](expected: scala.collection.Seq[E], dataset: Dataset[E]): Unit = {
     dataset.withResult { result =>
-      assert(expected === result.iterator.asScala.toBuffer)
+      assert(expected === result.iterator.toBuffer)
     }
   }
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index dd0e9347ac88b..7a8e8465a70cc 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -41,6 +41,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_SECOND
 import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
 import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
 import org.apache.spark.sql.catalyst.util.SparkIntervalUtils._
+import org.apache.spark.sql.connect.client.CloseableIterator
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.types.{ArrayType, DataType, DayTimeIntervalType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType, YearMonthIntervalType}

From 4c3427a23378c258132e8a741fad7af97d31f4a1 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 4 Aug 2023 08:10:08 -0700
Subject: [PATCH 162/986] [SPARK-44672][INFRA] Fix git ignore rules related to
 Antlr

### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/41928 moved antlr4 related files and directories from the `sql/catalyst` module to the `sql/api` module. This pr fix the corresponding git ignore rules to avoid unexpected diffs when executing `git status`.

### Why are the changes needed?
Avoid unexpected diffs when executing `git status`.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Manual check `git status`

**Before**

```
sql/api/gen/
sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/gen/
```

**After**
no diff.

Closes #42342 from LuciferYang/minor-gitignore.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 2d3bb4d5db71cc14e617dec8fa69799552b75975)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .gitignore | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index 11141961bf805..064b502175b79 100644
--- a/.gitignore
+++ b/.gitignore
@@ -117,6 +117,6 @@ spark-warehouse/
 node_modules
 
 # For Antlr
-sql/catalyst/gen/
-sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
-sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/gen/
+sql/api/gen/
+sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
+sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/gen/

From 981cf80f7acc01e24be52502d756ac28dd59a3f1 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Sat, 5 Aug 2023 00:58:16 +0900
Subject: [PATCH 163/986] [SPARK-44671][PYTHON][CONNECT] Retry ExecutePlan in
 case initial request didn't reach server in Python client

### What changes were proposed in this pull request?

The fix for the symmetry to https://github.com/apache/spark/pull/42282.

### Why are the changes needed?

See also https://github.com/apache/spark/pull/42282

### Does this PR introduce _any_ user-facing change?

See also https://github.com/apache/spark/pull/42282

### How was this patch tested?

See also https://github.com/apache/spark/pull/42282

Closes #42338 from HyukjinKwon/SPARK-44671.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 780bae928399947a351dd4b36afcfc7a8be06b13)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py     |  7 ++-
 python/pyspark/sql/connect/client/reattach.py | 51 ++++++++++++++++---
 2 files changed, 48 insertions(+), 10 deletions(-)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 816eb8344fece..b62621bc3c237 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -65,7 +65,10 @@
 from pyspark.version import __version__
 from pyspark.resource.information import ResourceInformation
 from pyspark.sql.connect.client.artifact import ArtifactManager
-from pyspark.sql.connect.client.reattach import ExecutePlanResponseReattachableIterator
+from pyspark.sql.connect.client.reattach import (
+    ExecutePlanResponseReattachableIterator,
+    RetryException,
+)
 from pyspark.sql.connect.conversion import storage_level_to_proto, proto_to_storage_level
 import pyspark.sql.connect.proto as pb2
 import pyspark.sql.connect.proto.base_pb2_grpc as grpc_lib
@@ -1549,7 +1552,7 @@ def __exit__(
     ) -> Optional[bool]:
         if isinstance(exc_val, BaseException):
             # Swallow the exception.
-            if self._can_retry(exc_val):
+            if self._can_retry(exc_val) or isinstance(exc_val, RetryException):
                 self._retry_state.set_exception(exc_val)
                 return True
             # Bubble up the exception.
diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index 702107d97f549..70c7d126ff105 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -21,10 +21,13 @@
 import warnings
 import uuid
 from collections.abc import Generator
-from typing import Optional, Dict, Any, Iterator, Iterable, Tuple
+from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast
 from multiprocessing.pool import ThreadPool
 import os
 
+import grpc
+from grpc_status import rpc_status
+
 import pyspark.sql.connect.proto as pb2
 import pyspark.sql.connect.proto.base_pb2_grpc as grpc_lib
 
@@ -42,15 +45,12 @@ class ExecutePlanResponseReattachableIterator(Generator):
     Initial iterator is the result of an ExecutePlan on the request, but it can be reattached with
     ReattachExecute request. ReattachExecute request is provided the responseId of last returned
     ExecutePlanResponse on the iterator to return a new iterator from server that continues after
-    that.
+    that. If the initial ExecutePlan did not even reach the server, and hence reattach fails with
+    INVALID_HANDLE.OPERATION_NOT_FOUND, we attempt to retry ExecutePlan.
 
     In reattachable execute the server does buffer some responses in case the client needs to
     backtrack. To let server release this buffer sooner, this iterator asynchronously sends
     ReleaseExecute RPCs that instruct the server to release responses that it already processed.
-
-    Note: If the initial ExecutePlan did not even reach the server and execution didn't start,
-    the ReattachExecute can still fail with INVALID_HANDLE.OPERATION_NOT_FOUND, failing the whole
-    operation.
     """
 
     _release_thread_pool = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
@@ -93,6 +93,7 @@ def __init__(
         # Initial iterator comes from ExecutePlan request.
         # Note: This is not retried, because no error would ever be thrown here, and GRPC will only
         # throw error on first self._has_next().
+        self._metadata = metadata
         self._iterator: Iterator[pb2.ExecutePlanResponse] = iter(
             self._stub.ExecutePlan(self._initial_request, metadata=metadata)
         )
@@ -139,7 +140,7 @@ def _has_next(self) -> bool:
 
                         if self._current is None:
                             try:
-                                self._current = next(self._iterator)
+                                self._current = self._call_iter(lambda: next(self._iterator))
                             except StopIteration:
                                 pass
 
@@ -159,7 +160,7 @@ def _has_next(self) -> bool:
                                 # shouldn't change
                                 assert not self._result_complete
                                 try:
-                                    self._current = next(self._iterator)
+                                    self._current = self._call_iter(lambda: next(self._iterator))
                                 except StopIteration:
                                     pass
                                 has_next = self._current is not None
@@ -226,6 +227,33 @@ def target() -> None:
         ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
         self._result_complete = True
 
+    def _call_iter(self, iter_fun: Callable) -> Any:
+        """
+        Call next() on the iterator. If this fails with this operationId not existing
+        on the server, this means that the initial ExecutePlan request didn't even reach the
+        server. In that case, attempt to start again with ExecutePlan.
+
+        Called inside retry block, so retryable failure will get handled upstream.
+        """
+        try:
+            return iter_fun()
+        except grpc.RpcError as e:
+            status = rpc_status.from_call(cast(grpc.Call, e))
+            if "INVALID_HANDLE.OPERATION_NOT_FOUND" in status.message:
+                if self._last_returned_response_id is not None:
+                    raise RuntimeError(
+                        "OPERATION_NOT_FOUND on the server but "
+                        "responses were already received from it.",
+                        e,
+                    )
+                # Try a new ExecutePlan, and throw upstream for retry.
+                self._iterator = iter(
+                    self._stub.ExecutePlan(self._initial_request, metadata=self._metadata)
+                )
+                raise RetryException()
+            else:
+                raise e
+
     def _create_reattach_execute_request(self) -> pb2.ReattachExecuteRequest:
         reattach = pb2.ReattachExecuteRequest(
             session_id=self._initial_request.session_id,
@@ -269,3 +297,10 @@ def close(self) -> None:
 
     def __del__(self) -> None:
         return self.close()
+
+
+class RetryException(Exception):
+    """
+    An exception that can be thrown upstream when inside retry and which will be retryable
+    regardless of policy.
+    """

From 66a3653018e077797df3db5decaf7a5d19619cef Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 4 Aug 2023 14:20:53 -0700
Subject: [PATCH 164/986] [SPARK-44678][BUILD][3.5] Downgrade Hadoop to 3.3.4

### What changes were proposed in this pull request?

This PR aims to downgrade the Apache Hadoop dependency to 3.3.4 in `Apache Spark 3.5` in order to prevent any regression from `Apache Spark 3.4.x`. In other words, although `Apache Spark 3.5.x` will lose many bug fixes of Apache Hadoop 3.3.5 and 3.3.6, it will be in the same situation with `Apache Spark 3.4.x`.
- SPARK-44197 Upgrade Hadoop to 3.3.6 (#41744)
- SPARK-42913 Upgrade Hadoop to 3.3.5 (#39124)
- SPARK-43448 Remove dummy dependency `hadoop-openstack` (#41133)

On top of reverting SPARK-44197 and SPARK-42913, this PR has additional dependency exclusion change due to the following.
- SPARK-43880 Organize `hadoop-cloud` in standard maven project structure (#41380)

### Why are the changes needed?

There is a community report on S3A committer performance regression. Although it's one liner fix, there is no available Hadoop release with that fix at this time.
- HADOOP-18757: Bump corePoolSize of HadoopThreadPoolExecutor in s3a committer (https://github.com/apache/hadoop/pull/5706)

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

Closes #42345 from dongjoon-hyun/SPARK-44678.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3         | 26 ++++++++++---------
 hadoop-cloud/pom.xml                          | 10 +++++++
 pom.xml                                       |  2 +-
 .../hive/client/IsolatedClientLoader.scala    |  2 +-
 4 files changed, 26 insertions(+), 14 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 566f7c9a3eac6..d182f39f88242 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -24,7 +24,7 @@ audience-annotations/0.5.0//audience-annotations-0.5.0.jar
 avro-ipc/1.11.2//avro-ipc-1.11.2.jar
 avro-mapred/1.11.2//avro-mapred-1.11.2.jar
 avro/1.11.2//avro-1.11.2.jar
-aws-java-sdk-bundle/1.12.367//aws-java-sdk-bundle-1.12.367.jar
+aws-java-sdk-bundle/1.12.262//aws-java-sdk-bundle-1.12.262.jar
 azure-data-lake-store-sdk/2.3.9//azure-data-lake-store-sdk-2.3.9.jar
 azure-keyvault-core/1.0.0//azure-keyvault-core-1.0.0.jar
 azure-storage/7.0.1//azure-storage-7.0.1.jar
@@ -66,16 +66,17 @@ gcs-connector/hadoop3-2.2.14/shaded/gcs-connector-hadoop3-2.2.14-shaded.jar
 gmetric4j/1.0.10//gmetric4j-1.0.10.jar
 gson/2.2.4//gson-2.2.4.jar
 guava/14.0.1//guava-14.0.1.jar
-hadoop-aliyun/3.3.6//hadoop-aliyun-3.3.6.jar
-hadoop-annotations/3.3.6//hadoop-annotations-3.3.6.jar
-hadoop-aws/3.3.6//hadoop-aws-3.3.6.jar
-hadoop-azure-datalake/3.3.6//hadoop-azure-datalake-3.3.6.jar
-hadoop-azure/3.3.6//hadoop-azure-3.3.6.jar
-hadoop-client-api/3.3.6//hadoop-client-api-3.3.6.jar
-hadoop-client-runtime/3.3.6//hadoop-client-runtime-3.3.6.jar
-hadoop-cloud-storage/3.3.6//hadoop-cloud-storage-3.3.6.jar
+hadoop-aliyun/3.3.4//hadoop-aliyun-3.3.4.jar
+hadoop-annotations/3.3.4//hadoop-annotations-3.3.4.jar
+hadoop-aws/3.3.4//hadoop-aws-3.3.4.jar
+hadoop-azure-datalake/3.3.4//hadoop-azure-datalake-3.3.4.jar
+hadoop-azure/3.3.4//hadoop-azure-3.3.4.jar
+hadoop-client-api/3.3.4//hadoop-client-api-3.3.4.jar
+hadoop-client-runtime/3.3.4//hadoop-client-runtime-3.3.4.jar
+hadoop-cloud-storage/3.3.4//hadoop-cloud-storage-3.3.4.jar
+hadoop-openstack/3.3.4//hadoop-openstack-3.3.4.jar
 hadoop-shaded-guava/1.1.1//hadoop-shaded-guava-1.1.1.jar
-hadoop-yarn-server-web-proxy/3.3.6//hadoop-yarn-server-web-proxy-3.3.6.jar
+hadoop-yarn-server-web-proxy/3.3.4//hadoop-yarn-server-web-proxy-3.3.4.jar
 hive-beeline/2.3.9//hive-beeline-2.3.9.jar
 hive-cli/2.3.9//hive-cli-2.3.9.jar
 hive-common/2.3.9//hive-common-2.3.9.jar
@@ -115,6 +116,7 @@ janino/3.1.9//janino-3.1.9.jar
 javassist/3.29.2-GA//javassist-3.29.2-GA.jar
 javax.jdo/3.2.0-m3//javax.jdo-3.2.0-m3.jar
 javolution/5.5.1//javolution-5.5.1.jar
+jaxb-api/2.2.11//jaxb-api-2.2.11.jar
 jaxb-runtime/2.3.2//jaxb-runtime-2.3.2.jar
 jcl-over-slf4j/2.0.7//jcl-over-slf4j-2.0.7.jar
 jdo-api/3.0.1//jdo-api-3.0.1.jar
@@ -125,7 +127,7 @@ jersey-container-servlet-core/2.40//jersey-container-servlet-core-2.40.jar
 jersey-container-servlet/2.40//jersey-container-servlet-2.40.jar
 jersey-hk2/2.40//jersey-hk2-2.40.jar
 jersey-server/2.40//jersey-server-2.40.jar
-jettison/1.5.4//jettison-1.5.4.jar
+jettison/1.1//jettison-1.1.jar
 jetty-util-ajax/9.4.51.v20230217//jetty-util-ajax-9.4.51.v20230217.jar
 jetty-util/9.4.51.v20230217//jetty-util-9.4.51.v20230217.jar
 jline/2.14.6//jline-2.14.6.jar
@@ -246,7 +248,7 @@ threeten-extra/1.7.1//threeten-extra-1.7.1.jar
 tink/1.9.0//tink-1.9.0.jar
 transaction-api/1.1//transaction-api-1.1.jar
 univocity-parsers/2.9.1//univocity-parsers-2.9.1.jar
-wildfly-openssl/1.1.3.Final//wildfly-openssl-1.1.3.Final.jar
+wildfly-openssl/1.0.7.Final//wildfly-openssl-1.0.7.Final.jar
 xbean-asm9-shaded/4.23//xbean-asm9-shaded-4.23.jar
 xz/1.9//xz-1.9.jar
 zjsonpatch/0.3.0//zjsonpatch-0.3.0.jar
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 309abba8da157..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -134,6 +134,12 @@
       <artifactId>hadoop-azure</artifactId>
       <version>${hadoop.version}</version>
       <scope>${hadoop.deps.scope}</scope>
+      <exclusions>
+        <exclusion>
+          <groupId>org.codehaus.jackson</groupId>
+          <artifactId>jackson-core-asl</artifactId>
+        </exclusion>
+      </exclusions>
     </dependency>
     <!--
     There's now a hadoop-cloud-storage which transitively pulls in the store JARs,
@@ -145,6 +151,10 @@
       <version>${hadoop.version}</version>
       <scope>${hadoop.deps.scope}</scope>
       <exclusions>
+        <exclusion>
+          <groupId>org.apache.hadoop</groupId>
+          <artifactId>hadoop-common</artifactId>
+        </exclusion>
         <exclusion>
           <!--
           This is a code coverage library introduced by aliyun-java-sdk-core, only for testing
diff --git a/pom.xml b/pom.xml
index eeb3ea1516dad..d60722e731202 100644
--- a/pom.xml
+++ b/pom.xml
@@ -122,7 +122,7 @@
     <slf4j.version>2.0.7</slf4j.version>
     <log4j.version>2.20.0</log4j.version>
     <!-- make sure to update IsolatedClientLoader whenever this version is changed -->
-    <hadoop.version>3.3.6</hadoop.version>
+    <hadoop.version>3.3.4</hadoop.version>
     <!-- SPARK-41247: When updating `protobuf.version`, also need to update `protoVersion` in `SparkBuild.scala` -->
     <protobuf.version>3.23.4</protobuf.version>
     <protoc-jar-maven-plugin.version>3.11.4</protoc-jar-maven-plugin.version>
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
index 2765e6af521c1..a28a0464e6ee9 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
@@ -66,7 +66,7 @@ private[hive] object IsolatedClientLoader extends Logging {
           case e: RuntimeException if e.getMessage.contains("hadoop") =>
             // If the error message contains hadoop, it is probably because the hadoop
             // version cannot be resolved.
-            val fallbackVersion = "3.3.6"
+            val fallbackVersion = "3.3.4"
             logWarning(s"Failed to resolve Hadoop artifacts for the version $hadoopVersion. We " +
               s"will change the hadoop version from $hadoopVersion to $fallbackVersion and try " +
               "again. It is recommended to set jars used by Hive metastore client through " +

From 4cba54d8c0e113a2587082235518be738c3d4dda Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 4 Aug 2023 16:44:01 -0700
Subject: [PATCH 165/986] [SPARK-44663][PYTHON] Disable arrow optimization by
 default for Python UDTFs

### What changes were proposed in this pull request?

This PR disables arrow optimization by default for Python UDTFs.

### Why are the changes needed?

To make Python UDTFs consistent with Python UDFs (arrow optimization is by default disabled).

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New unit tests

Closes #42329 from allisonwang-db/spark-44663-disable-arrow.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit 8b53fed7ef0edaaf948ec67413017e60444230fd)
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/pyspark/sql/connect/udtf.py               | 10 +++++-----
 python/pyspark/sql/tests/test_udtf.py            | 16 ++++++++++++++++
 python/pyspark/sql/udtf.py                       | 10 +++++-----
 .../org/apache/spark/sql/internal/SQLConf.scala  |  2 +-
 4 files changed, 27 insertions(+), 11 deletions(-)

diff --git a/python/pyspark/sql/connect/udtf.py b/python/pyspark/sql/connect/udtf.py
index 3747e37459e1b..07e2bad6ec7bb 100644
--- a/python/pyspark/sql/connect/udtf.py
+++ b/python/pyspark/sql/connect/udtf.py
@@ -70,11 +70,11 @@ def _create_py_udtf(
     else:
         from pyspark.sql.connect.session import _active_spark_session
 
-        arrow_enabled = (
-            _active_spark_session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled") == "true"
-            if _active_spark_session is not None
-            else True
-        )
+        arrow_enabled = False
+        if _active_spark_session is not None:
+            value = _active_spark_session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")
+            if isinstance(value, str) and value.lower() == "true":
+                arrow_enabled = True
 
     # Create a regular Python UDTF and check for invalid handler class.
     regular_udtf = _create_udtf(cls, returnType, name, PythonEvalType.SQL_TABLE_UDF, deterministic)
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 4bab77038e0cc..4a65a9bd2e449 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -1002,6 +1002,22 @@ def eval(self, x: str):
             PythonEvalType.SQL_ARROW_TABLE_UDF,
         )
 
+    def test_udtf_arrow_sql_conf(self):
+        class TestUDTF:
+            def eval(self):
+                yield 1,
+
+        # We do not use `self.sql_conf` here to test the SQL SET command
+        # instead of using PySpark's `spark.conf.set`.
+        old_value = self.spark.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")
+        self.spark.sql("SET spark.sql.execution.pythonUDTF.arrow.enabled=False")
+        self.assertEqual(udtf(TestUDTF, returnType="x: int").evalType, PythonEvalType.SQL_TABLE_UDF)
+        self.spark.sql("SET spark.sql.execution.pythonUDTF.arrow.enabled=True")
+        self.assertEqual(
+            udtf(TestUDTF, returnType="x: int").evalType, PythonEvalType.SQL_ARROW_TABLE_UDF
+        )
+        self.spark.conf.set("spark.sql.execution.pythonUDTF.arrow.enabled", old_value)
+
     def test_udtf_eval_returning_non_tuple(self):
         class TestUDTF:
             def eval(self, a: int):
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index c2830d56db561..7cbf4732ba9e2 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -69,11 +69,11 @@ def _create_py_udtf(
         from pyspark.sql import SparkSession
 
         session = SparkSession._instantiatedSession
-        arrow_enabled = (
-            session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled") == "true"
-            if session is not None
-            else True
-        )
+        arrow_enabled = False
+        if session is not None:
+            value = session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")
+            if isinstance(value, str) and value.lower() == "true":
+                arrow_enabled = True
 
     # Create a regular Python UDTF and check for invalid handler class.
     regular_udtf = _create_udtf(cls, returnType, name, PythonEvalType.SQL_TABLE_UDF, deterministic)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 444ecbd837f90..083e88380c4db 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2926,7 +2926,7 @@ object SQLConf {
       .doc("Enable Arrow optimization for Python UDTFs.")
       .version("3.5.0")
       .booleanConf
-      .createWithDefault(true)
+      .createWithDefault(false)
 
   val PANDAS_GROUPED_MAP_ASSIGN_COLUMNS_BY_NAME =
     buildConf("spark.sql.legacy.execution.pandas.groupedMap.assignColumnsByName")

From f22b618174b72e70d9f764379ce1689f2da6470d Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Fri, 4 Aug 2023 19:40:47 -0700
Subject: [PATCH 166/986] [SPARK-44433][3.5][PYTHON][CONNECT][SS][FOLLOWUP]
 Terminate listener process with removeListener and improvements

### Master Branch PR: https://github.com/apache/spark/pull/42283

### What changes were proposed in this pull request?

This is a followup to #42116. It addresses the following issues:

1. When `removeListener` is called upon one listener, before the python process is left running, now it also get stopped.
2. When multiple `removeListener` is called on the same listener, in non-connect mode, subsequent calls will be noop. But before this PR, in connect it actually throws an error, which doesn't align with existing behavior, this PR addresses it.
3. Set the socket timeout to be None (\infty) for `foreachBatch_worker` and `listener_worker`, because there could be a long time between each microbatch. If not setting this, the socket will timeout and won't be able to process new data.

```
scala> Streaming query listener worker is starting with url sc://localhost:15002/;user_id=wei.liu and sessionId 886191f0-2b64-4c44-b067-de511f04b42d.
Traceback (most recent call last):
  File "/usr/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/wei.liu/oss-spark/python/lib/pyspark.zip/pyspark/sql/connect/streaming/worker/listener_worker.py", line 95, in <module>
  File "/home/wei.liu/oss-spark/python/lib/pyspark.zip/pyspark/sql/connect/streaming/worker/listener_worker.py", line 82, in main
  File "/home/wei.liu/oss-spark/python/lib/pyspark.zip/pyspark/serializers.py", line 557, in loads
  File "/home/wei.liu/oss-spark/python/lib/pyspark.zip/pyspark/serializers.py", line 594, in read_int
  File "/usr/lib/python3.9/socket.py", line 704, in readinto
    return self._sock.recv_into(b)
socket.timeout: timed out
```

### Why are the changes needed?

Necessary improvements

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manual test + unit test

Closes #42340 from WweiL/SPARK-44433-listener-followup-3.5.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 .../streaming/StreamingQueryListener.scala    | 28 ----------
 .../connect/planner/SparkConnectPlanner.scala | 12 +++--
 .../planner/StreamingForeachBatchHelper.scala | 10 ++--
 .../StreamingQueryListenerHelper.scala        | 21 ++++----
 .../sql/connect/service/SessionHolder.scala   | 19 ++++---
 .../api/python/StreamingPythonRunner.scala    | 51 ++++++++++++++-----
 .../streaming/worker/foreachBatch_worker.py   |  4 +-
 .../streaming/worker/listener_worker.py       |  4 +-
 .../connect/streaming/test_parity_listener.py |  7 +++
 9 files changed, 89 insertions(+), 67 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
index e2f3be02ad3ae..404bd1b078ba4 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala
@@ -75,34 +75,6 @@ abstract class StreamingQueryListener extends Serializable {
   def onQueryTerminated(event: QueryTerminatedEvent): Unit
 }
 
-/**
- * Py4J allows a pure interface so this proxy is required.
- */
-private[spark] trait PythonStreamingQueryListener {
-  import StreamingQueryListener._
-
-  def onQueryStarted(event: QueryStartedEvent): Unit
-
-  def onQueryProgress(event: QueryProgressEvent): Unit
-
-  def onQueryIdle(event: QueryIdleEvent): Unit
-
-  def onQueryTerminated(event: QueryTerminatedEvent): Unit
-}
-
-private[spark] class PythonStreamingQueryListenerWrapper(listener: PythonStreamingQueryListener)
-    extends StreamingQueryListener {
-  import StreamingQueryListener._
-
-  def onQueryStarted(event: QueryStartedEvent): Unit = listener.onQueryStarted(event)
-
-  def onQueryProgress(event: QueryProgressEvent): Unit = listener.onQueryProgress(event)
-
-  override def onQueryIdle(event: QueryIdleEvent): Unit = listener.onQueryIdle(event)
-
-  def onQueryTerminated(event: QueryTerminatedEvent): Unit = listener.onQueryTerminated(event)
-}
-
 /**
  * Companion object of [[StreamingQueryListener]] that defines the listener events.
  * @since 3.5.0
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index f9a1e44516e88..bfdc6f6271ce1 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -3095,10 +3095,14 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
       case StreamingQueryManagerCommand.CommandCase.REMOVE_LISTENER =>
         val listenerId = command.getRemoveListener.getId
-        val listener: StreamingQueryListener = sessionHolder.getListenerOrThrow(listenerId)
-        session.streams.removeListener(listener)
-        sessionHolder.removeCachedListener(listenerId)
-        respBuilder.setRemoveListener(true)
+        sessionHolder.getListener(listenerId) match {
+          case Some(listener) =>
+            session.streams.removeListener(listener)
+            sessionHolder.removeCachedListener(listenerId)
+            respBuilder.setRemoveListener(true)
+          case None =>
+            respBuilder.setRemoveListener(false)
+        }
 
       case StreamingQueryManagerCommand.CommandCase.LIST_LISTENERS =>
         respBuilder.getListListenersBuilder
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 998faf327d03a..4f1037b86c9f2 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -87,11 +87,13 @@ object StreamingForeachBatchHelper extends Logging {
 
     val port = SparkConnectService.localPort
     val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
-    val runner = StreamingPythonRunner(pythonFn, connectUrl)
+    val runner = StreamingPythonRunner(
+      pythonFn,
+      connectUrl,
+      sessionHolder.sessionId,
+      "pyspark.sql.connect.streaming.worker.foreachBatch_worker")
     val (dataOut, dataIn) =
-      runner.init(
-        sessionHolder.sessionId,
-        "pyspark.sql.connect.streaming.worker.foreachBatch_worker")
+      runner.init()
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
index d915bc9349609..9b2a931ec4acb 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingQueryListenerHelper.scala
@@ -24,7 +24,7 @@ import org.apache.spark.sql.streaming.StreamingQueryListener
 /**
  * A helper class for handling StreamingQueryListener related functionality in Spark Connect. Each
  * instance of this class starts a python process, inside which has the python handling logic.
- * When new a event is received, it is serialized to json, and passed to the python process.
+ * When a new event is received, it is serialized to json, and passed to the python process.
  */
 class PythonStreamingQueryListener(
     listener: SimplePythonFunction,
@@ -32,12 +32,15 @@ class PythonStreamingQueryListener(
     pythonExec: String)
     extends StreamingQueryListener {
 
-  val port = SparkConnectService.localPort
-  val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
-  val runner = StreamingPythonRunner(listener, connectUrl)
+  private val port = SparkConnectService.localPort
+  private val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
+  private val runner = StreamingPythonRunner(
+    listener,
+    connectUrl,
+    sessionHolder.sessionId,
+    "pyspark.sql.connect.streaming.worker.listener_worker")
 
-  val (dataOut, _) =
-    runner.init(sessionHolder.sessionId, "pyspark.sql.connect.streaming.worker.listener_worker")
+  val (dataOut, _) = runner.init()
 
   override def onQueryStarted(event: StreamingQueryListener.QueryStartedEvent): Unit = {
     PythonRDD.writeUTF(event.json, dataOut)
@@ -63,7 +66,7 @@ class PythonStreamingQueryListener(
     dataOut.flush()
   }
 
-  // TODO(SPARK-44433)(SPARK-44516): Improve termination of Processes.
-  // Similar to foreachBatch when we need to exit the process when the query ends.
-  // In listener semantics, we need to exit the process when removeListener is called.
+  private[spark] def stopListenerProcess(): Unit = {
+    runner.stop()
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 310bb9208c21d..29134f0dc0ded 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -31,6 +31,7 @@ import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.SparkConnectArtifactManager
 import org.apache.spark.sql.connect.common.InvalidPlanInput
+import org.apache.spark.sql.connect.planner.PythonStreamingQueryListener
 import org.apache.spark.sql.streaming.StreamingQueryListener
 import org.apache.spark.util.{SystemClock}
 import org.apache.spark.util.Utils
@@ -220,20 +221,22 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
   }
 
   /**
-   * Returns [[StreamingQueryListener]] cached for Listener ID `id`. If it is not found, throw
-   * [[InvalidPlanInput]].
+   * Returns [[StreamingQueryListener]] cached for Listener ID `id`. If it is not found, return
+   * None.
    */
-  private[connect] def getListenerOrThrow(id: String): StreamingQueryListener = {
+  private[connect] def getListener(id: String): Option[StreamingQueryListener] = {
     Option(listenerCache.get(id))
-      .getOrElse {
-        throw InvalidPlanInput(s"No listener with id $id is found in the session $sessionId")
-      }
   }
 
   /**
-   * Removes corresponding StreamingQueryListener by ID.
+   * Removes corresponding StreamingQueryListener by ID. Terminates the python process if it's a
+   * Spark Connect PythonStreamingQueryListener.
    */
-  private[connect] def removeCachedListener(id: String): StreamingQueryListener = {
+  private[connect] def removeCachedListener(id: String): Unit = {
+    listenerCache.get(id) match {
+      case pyListener: PythonStreamingQueryListener => pyListener.stopListenerProcess()
+      case _ => // do nothing
+    }
     listenerCache.remove(id)
   }
 
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index c02871ee14510..1a75965eb9234 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -29,27 +29,37 @@ import org.apache.spark.internal.config.Python.{PYTHON_AUTH_SOCKET_TIMEOUT, PYTH
 
 
 private[spark] object StreamingPythonRunner {
-  def apply(func: PythonFunction, connectUrl: String): StreamingPythonRunner = {
-    new StreamingPythonRunner(func, connectUrl)
+  def apply(
+      func: PythonFunction,
+      connectUrl: String,
+      sessionId: String,
+      workerModule: String
+  ): StreamingPythonRunner = {
+    new StreamingPythonRunner(func, connectUrl, sessionId, workerModule)
   }
 }
 
-private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: String)
-  extends Logging {
+private[spark] class StreamingPythonRunner(
+    func: PythonFunction,
+    connectUrl: String,
+    sessionId: String,
+    workerModule: String) extends Logging {
   private val conf = SparkEnv.get.conf
   protected val bufferSize: Int = conf.get(BUFFER_SIZE)
   protected val authSocketTimeout = conf.get(PYTHON_AUTH_SOCKET_TIMEOUT)
 
   private val envVars: java.util.Map[String, String] = func.envVars
   private val pythonExec: String = func.pythonExec
+  private var pythonWorker: Option[Socket] = None
+  private var pythonWorkerFactory: Option[PythonWorkerFactory] = None
   protected val pythonVer: String = func.pythonVer
 
   /**
    * Initializes the Python worker for streaming functions. Sets up Spark Connect session
    * to be used with the functions.
    */
-  def init(sessionId: String, workerModule: String): (DataOutputStream, DataInputStream) = {
-    logInfo(s"Initializing Python runner (session: $sessionId ,pythonExec: $pythonExec")
+  def init(): (DataOutputStream, DataInputStream) = {
+    logInfo(s"Initializing Python runner (session: $sessionId, pythonExec: $pythonExec")
     val env = SparkEnv.get
 
     val localdir = env.blockManager.diskBlockManager.localDirs.map(f => f.getPath()).mkString(",")
@@ -57,13 +67,20 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
 
     envVars.put("SPARK_AUTH_SOCKET_TIMEOUT", authSocketTimeout.toString)
     envVars.put("SPARK_BUFFER_SIZE", bufferSize.toString)
-    conf.set(PYTHON_USE_DAEMON, false)
     envVars.put("SPARK_CONNECT_LOCAL_URL", connectUrl)
 
-    val pythonWorkerFactory = new PythonWorkerFactory(pythonExec, envVars.asScala.toMap)
-    val (worker: Socket, _) = pythonWorkerFactory.createStreamingWorker(workerModule)
-
-    val stream = new BufferedOutputStream(worker.getOutputStream, bufferSize)
+    val prevConf = conf.get(PYTHON_USE_DAEMON)
+    conf.set(PYTHON_USE_DAEMON, false)
+    try {
+      val workerFactory = new PythonWorkerFactory(pythonExec, envVars.asScala.toMap)
+      val (worker: Socket, _) = workerFactory.createStreamingWorker(workerModule)
+      pythonWorker = Some(worker)
+      pythonWorkerFactory = Some(workerFactory)
+    } finally {
+      conf.set(PYTHON_USE_DAEMON, prevConf)
+    }
+
+    val stream = new BufferedOutputStream(pythonWorker.get.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
 
     // TODO(SPARK-44461): verify python version
@@ -77,11 +94,21 @@ private[spark] class StreamingPythonRunner(func: PythonFunction, connectUrl: Str
     dataOut.write(command.toArray)
     dataOut.flush()
 
-    val dataIn = new DataInputStream(new BufferedInputStream(worker.getInputStream, bufferSize))
+    val dataIn = new DataInputStream(
+      new BufferedInputStream(pythonWorker.get.getInputStream, bufferSize))
 
     val resFromPython = dataIn.readInt()
     logInfo(s"Runner initialization returned $resFromPython")
 
     (dataOut, dataIn)
   }
+
+  /**
+   * Stops the Python worker.
+   */
+  def stop(): Unit = {
+    pythonWorker.foreach { worker =>
+      pythonWorkerFactory.foreach(_.stopWorker(worker))
+    }
+  }
 }
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index 054788539f293..48a9848de4009 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -76,7 +76,9 @@ def process(df_id, batch_id):  # type: ignore[no-untyped-def]
     # Read information about how to connect back to the JVM from the environment.
     java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"])
     auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"]
-    (sock_file, _) = local_connect_and_auth(java_port, auth_secret)
+    (sock_file, sock) = local_connect_and_auth(java_port, auth_secret)
+    # There could be a long time between each micro batch.
+    sock.settimeout(None)
     write_int(os.getpid(), sock_file)
     sock_file.flush()
     main(sock_file, sock_file)
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index 8eb310461b6f6..7aef911426de7 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -89,7 +89,9 @@ def process(listener_event_str, listener_event_type):  # type: ignore[no-untyped
     # Read information about how to connect back to the JVM from the environment.
     java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"])
     auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"]
-    (sock_file, _) = local_connect_and_auth(java_port, auth_secret)
+    (sock_file, sock) = local_connect_and_auth(java_port, auth_secret)
+    # There could be a long time between each listener event.
+    sock.settimeout(None)
     write_int(os.getpid(), sock_file)
     sock_file.flush()
     main(sock_file, sock_file)
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 547462d4da6d5..4bf58bf7807b3 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -60,6 +60,10 @@ def test_listener_events(self):
         try:
             self.spark.streams.addListener(test_listener)
 
+            # This ensures the read socket on the server won't crash (i.e. because of timeout)
+            # when there hasn't been a new event for a long time
+            time.sleep(30)
+
             df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
             q = df.writeStream.format("noop").queryName("test").start()
 
@@ -76,6 +80,9 @@ def test_listener_events(self):
         finally:
             self.spark.streams.removeListener(test_listener)
 
+            # Remove again to verify this won't throw any error
+            self.spark.streams.removeListener(test_listener)
+
 
 if __name__ == "__main__":
     import unittest

From e3b031276e4ab626f7db7b8d95f01a598e25a6b1 Mon Sep 17 00:00:00 2001
From: Giambattista Bloisi <giambattista.bloisi@openaire.eu>
Date: Sun, 6 Aug 2023 21:47:57 +0200
Subject: [PATCH 167/986] [SPARK-44634][SQL] Encoders.bean does no longer
 support nested beans with type arguments

### What changes were proposed in this pull request?
This PR fixes a regression introduced in Spark 3.4.x  where  Encoders.bean is no longer able to process nested beans having type arguments. For example:

```
class A<T> {
   T value;
   // value getter and setter
}

class B {
   A<String> stringHolder;
   // stringHolder getter and setter
}

Encoders.bean(B.class); // throws "SparkUnsupportedOperationException: [ENCODER_NOT_FOUND]..."
```

### Why are the changes needed?
JavaTypeInference.encoderFor main match does not manage ParameterizedType and TypeVariable cases. I think this is a regression introduced after getting rid of usage of guava TypeToken: [SPARK-42093 SQL Move JavaTypeInference to AgnosticEncoders](https://github.com/apache/spark/commit/18672003513d5a4aa610b6b94dbbc15c33185d3#diff-1191737b908340a2f4c22b71b1c40ebaa0da9d8b40c958089c346a3bda26943b) hvanhovell cloud-fan

In this PR I'm leveraging commons lang3 TypeUtils functionalities to solve ParameterizedType type arguments for classes

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests have been extended to check correct encoding of a nested bean having type arguments.

Closes #42327 from gbloisi-openaire/spark-44634.

Authored-by: Giambattista Bloisi <giambattista.bloisi@openaire.eu>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit d6998979427b6ad3a0f16d6966b3927d40440a60)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../sql/catalyst/JavaTypeInference.scala      | 84 +++++--------------
 .../sql/catalyst/JavaBeanWithGenerics.java    | 41 +++++++++
 .../sql/catalyst/JavaTypeInferenceSuite.scala |  4 +
 3 files changed, 64 insertions(+), 65 deletions(-)
 create mode 100644 sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index f352d28a7b501..3d536b735db59 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -18,12 +18,14 @@ package org.apache.spark.sql.catalyst
 
 import java.beans.{Introspector, PropertyDescriptor}
 import java.lang.reflect.{ParameterizedType, Type, TypeVariable}
-import java.util.{ArrayDeque, List => JList, Map => JMap}
+import java.util.{List => JList, Map => JMap}
 import javax.annotation.Nonnull
 
-import scala.annotation.tailrec
+import scala.collection.JavaConverters._
 import scala.reflect.ClassTag
 
+import org.apache.commons.lang3.reflect.{TypeUtils => JavaTypeUtils}
+
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ArrayEncoder, BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, DayTimeIntervalEncoder, DEFAULT_JAVA_DECIMAL_ENCODER, EncoderField, IterableEncoder, JavaBeanEncoder, JavaBigIntEncoder, JavaEnumEncoder, LocalDateTimeEncoder, MapEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, STRICT_DATE_ENCODER, STRICT_INSTANT_ENCODER, STRICT_LOCAL_DATE_ENCODER, STRICT_TIMESTAMP_ENCODER, StringEncoder, UDTEncoder, YearMonthIntervalEncoder}
 import org.apache.spark.sql.errors.ExecutionErrors
@@ -57,7 +59,8 @@ object JavaTypeInference {
     encoderFor(beanType, Set.empty).asInstanceOf[AgnosticEncoder[T]]
   }
 
-  private def encoderFor(t: Type, seenTypeSet: Set[Class[_]]): AgnosticEncoder[_] = t match {
+  private def encoderFor(t: Type, seenTypeSet: Set[Class[_]],
+    typeVariables: Map[TypeVariable[_], Type] = Map.empty): AgnosticEncoder[_] = t match {
 
     case c: Class[_] if c == java.lang.Boolean.TYPE => PrimitiveBooleanEncoder
     case c: Class[_] if c == java.lang.Byte.TYPE => PrimitiveByteEncoder
@@ -101,18 +104,24 @@ object JavaTypeInference {
       UDTEncoder(udt, udt.getClass)
 
     case c: Class[_] if c.isArray =>
-      val elementEncoder = encoderFor(c.getComponentType, seenTypeSet)
+      val elementEncoder = encoderFor(c.getComponentType, seenTypeSet, typeVariables)
       ArrayEncoder(elementEncoder, elementEncoder.nullable)
 
-    case ImplementsList(c, Array(elementCls)) =>
-      val element = encoderFor(elementCls, seenTypeSet)
+    case c: Class[_] if classOf[JList[_]].isAssignableFrom(c) =>
+      val element = encoderFor(c.getTypeParameters.array(0), seenTypeSet, typeVariables)
       IterableEncoder(ClassTag(c), element, element.nullable, lenientSerialization = false)
 
-    case ImplementsMap(c, Array(keyCls, valueCls)) =>
-      val keyEncoder = encoderFor(keyCls, seenTypeSet)
-      val valueEncoder = encoderFor(valueCls, seenTypeSet)
+    case c: Class[_] if classOf[JMap[_, _]].isAssignableFrom(c) =>
+      val keyEncoder = encoderFor(c.getTypeParameters.array(0), seenTypeSet, typeVariables)
+      val valueEncoder = encoderFor(c.getTypeParameters.array(1), seenTypeSet, typeVariables)
       MapEncoder(ClassTag(c), keyEncoder, valueEncoder, valueEncoder.nullable)
 
+    case tv: TypeVariable[_] =>
+      encoderFor(typeVariables(tv), seenTypeSet, typeVariables)
+
+    case pt: ParameterizedType =>
+      encoderFor(pt.getRawType, seenTypeSet, JavaTypeUtils.getTypeArguments(pt).asScala.toMap)
+
     case c: Class[_] =>
       if (seenTypeSet.contains(c)) {
         throw ExecutionErrors.cannotHaveCircularReferencesInBeanClassError(c)
@@ -124,7 +133,7 @@ object JavaTypeInference {
       // Note that the fields are ordered by name.
       val fields = properties.map { property =>
         val readMethod = property.getReadMethod
-        val encoder = encoderFor(readMethod.getGenericReturnType, seenTypeSet + c)
+        val encoder = encoderFor(readMethod.getGenericReturnType, seenTypeSet + c, typeVariables)
         // The existence of `javax.annotation.Nonnull`, means this field is not nullable.
         val hasNonNull = readMethod.isAnnotationPresent(classOf[Nonnull])
         EncoderField(
@@ -147,59 +156,4 @@ object JavaTypeInference {
       .filterNot(_.getName == "declaringClass")
       .filter(_.getReadMethod != null)
   }
-
-  private class ImplementsGenericInterface(interface: Class[_]) {
-    assert(interface.isInterface)
-    assert(interface.getTypeParameters.nonEmpty)
-
-    def unapply(t: Type): Option[(Class[_], Array[Type])] = implementsInterface(t).map { cls =>
-      cls -> findTypeArgumentsForInterface(t)
-    }
-
-    @tailrec
-    private def implementsInterface(t: Type): Option[Class[_]] = t match {
-      case pt: ParameterizedType => implementsInterface(pt.getRawType)
-      case c: Class[_] if interface.isAssignableFrom(c) => Option(c)
-      case _ => None
-    }
-
-    private def findTypeArgumentsForInterface(t: Type): Array[Type] = {
-      val queue = new ArrayDeque[(Type, Map[Any, Type])]
-      queue.add(t -> Map.empty)
-      while (!queue.isEmpty) {
-        queue.poll() match {
-          case (pt: ParameterizedType, bindings) =>
-            // translate mappings...
-            val mappedTypeArguments = pt.getActualTypeArguments.map {
-              case v: TypeVariable[_] => bindings(v.getName)
-              case v => v
-            }
-            if (pt.getRawType == interface) {
-              return mappedTypeArguments
-            } else {
-              val mappedTypeArgumentMap = mappedTypeArguments
-                .zipWithIndex.map(_.swap)
-                .toMap[Any, Type]
-              queue.add(pt.getRawType -> mappedTypeArgumentMap)
-            }
-          case (c: Class[_], indexedBindings) =>
-            val namedBindings = c.getTypeParameters.zipWithIndex.map {
-              case (parameter, index) =>
-                parameter.getName -> indexedBindings(index)
-            }.toMap[Any, Type]
-            val superClass = c.getGenericSuperclass
-            if (superClass != null) {
-              queue.add(superClass -> namedBindings)
-            }
-            c.getGenericInterfaces.foreach { iface =>
-              queue.add(iface -> namedBindings)
-            }
-        }
-      }
-      throw ExecutionErrors.unreachableError()
-    }
-  }
-
-  private object ImplementsList extends ImplementsGenericInterface(classOf[JList[_]])
-  private object ImplementsMap extends ImplementsGenericInterface(classOf[JMap[_, _]])
 }
diff --git a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java
new file mode 100644
index 0000000000000..b84a3122cf84c
--- /dev/null
+++ b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst;
+
+class JavaBeanWithGenerics<T,A> {
+    private A attribute;
+
+    private T value;
+
+    public A getAttribute() {
+        return attribute;
+    }
+
+    public void setAttribute(A attribute) {
+        this.attribute = attribute;
+    }
+
+    public T getValue() {
+        return value;
+    }
+
+    public void setValue(T value) {
+        this.value = value;
+    }
+}
+
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
index 35f5bf739bfce..6439997609766 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
@@ -66,6 +66,7 @@ class LeafBean {
   @BeanProperty var period: java.time.Period = _
   @BeanProperty var enum: java.time.Month = _
   @BeanProperty val readOnlyString = "read-only"
+  @BeanProperty var genericNestedBean: JavaBeanWithGenerics[String, String] = _
 
   var nonNullString: String = "value"
   @javax.annotation.Nonnull
@@ -184,6 +185,9 @@ class JavaTypeInferenceSuite extends SparkFunSuite {
       encoderField("date", STRICT_DATE_ENCODER),
       encoderField("duration", DayTimeIntervalEncoder),
       encoderField("enum", JavaEnumEncoder(classTag[java.time.Month])),
+      encoderField("genericNestedBean", JavaBeanEncoder(
+        ClassTag(classOf[JavaBeanWithGenerics[String, String]]),
+        Seq(encoderField("attribute", StringEncoder), encoderField("value", StringEncoder)))),
       encoderField("instant", STRICT_INSTANT_ENCODER),
       encoderField("localDate", STRICT_LOCAL_DATE_ENCODER),
       encoderField("localDateTime", LocalDateTimeEncoder),

From 36e7fe2e49cbde10b0faedcf701a04543a5c156f Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Mon, 7 Aug 2023 08:54:52 +0900
Subject: [PATCH 168/986] [SPARK-44629][PYTHON][DOCS] Publish PySpark Test
 Guidelines webpage

### What changes were proposed in this pull request?
This PR adds a webpage to the Spark docs website, https://spark.apache.org/docs, to outline PySpark testing best practices.

### Why are the changes needed?
The changes are needed to provide PySpark end users with a guideline for how to use PySpark utils (introduced in SPARK-44629) to test PySpark code.

### Does this PR introduce _any_ user-facing change?
Yes, the PR publishes a webpage on the Spark website.

### How was this patch tested?
Existing tests

Closes #42284 from asl3/testing-guidelines.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit a640373fff38f5c594e4e5c30587bcfe823dee1d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/docs/source/getting_started/index.rst  |   1 +
 .../getting_started/testing_pyspark.ipynb     | 485 ++++++++++++++++++
 2 files changed, 486 insertions(+)
 create mode 100644 python/docs/source/getting_started/testing_pyspark.ipynb

diff --git a/python/docs/source/getting_started/index.rst b/python/docs/source/getting_started/index.rst
index 3c1c7d80863ce..5f6d306651b92 100644
--- a/python/docs/source/getting_started/index.rst
+++ b/python/docs/source/getting_started/index.rst
@@ -40,3 +40,4 @@ The list below is the contents of this quickstart page:
    quickstart_df
    quickstart_connect
    quickstart_ps
+   testing_pyspark
diff --git a/python/docs/source/getting_started/testing_pyspark.ipynb b/python/docs/source/getting_started/testing_pyspark.ipynb
new file mode 100644
index 0000000000000..268ace04376ba
--- /dev/null
+++ b/python/docs/source/getting_started/testing_pyspark.ipynb
@@ -0,0 +1,485 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4ee2125b-f889-47e6-9c3d-8bd63a253683",
+   "metadata": {},
+   "source": [
+    "# Testing PySpark\n",
+    "\n",
+    "This guide is a reference for writing robust tests for PySpark code.\n",
+    "\n",
+    "To view the docs for PySpark test utils, see here. To see the code for PySpark built-in test utils, check out the Spark repository here. To see the JIRA board tickets for the PySpark test framework, see here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0e8ee4b6-9544-45e1-8a91-e71ed8ef8b9d",
+   "metadata": {},
+   "source": [
+    "## Build a PySpark Application\n",
+    "Here is an example for how to start a PySpark application. Feel free to skip to the next section, “Testing your PySpark Application,” if you already have an application you’re ready to test.\n",
+    "\n",
+    "First, start your Spark Session."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9af4a35b-17e8-4e45-816b-34c14c5902f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyspark.sql import SparkSession \n",
+    "from pyspark.sql.functions import col \n",
+    "\n",
+    "# Create a SparkSession \n",
+    "spark = SparkSession.builder.appName(\"Testing PySpark Example\").getOrCreate() "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4a4c6efe-91f5-4e18-b4b2-b0401c2368e4",
+   "metadata": {},
+   "source": [
+    "Next, create a DataFrame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3b483dd8-3a76-41c6-9206-301d7ef314d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sample_data = [{\"name\": \"John    D.\", \"age\": 30}, \n",
+    "  {\"name\": \"Alice   G.\", \"age\": 25}, \n",
+    "  {\"name\": \"Bob  T.\", \"age\": 35}, \n",
+    "  {\"name\": \"Eve   A.\", \"age\": 28}] \n",
+    "\n",
+    "df = spark.createDataFrame(sample_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e0f44333-0e08-470b-9fa2-38f59e3dbd63",
+   "metadata": {},
+   "source": [
+    "Now, let’s define and apply a transformation function to our DataFrame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a6c0b766-af5f-4e1d-acf8-887d7cf0b0b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+---+--------+\n",
+      "|age|    name|\n",
+      "+---+--------+\n",
+      "| 30| John D.|\n",
+      "| 25|Alice G.|\n",
+      "| 35|  Bob T.|\n",
+      "| 28|  Eve A.|\n",
+      "+---+--------+\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pyspark.sql.functions import col, regexp_replace\n",
+    "\n",
+    "# Remove additional spaces in name\n",
+    "def remove_extra_spaces(df, column_name):\n",
+    "    # Remove extra spaces from the specified column\n",
+    "    df_transformed = df.withColumn(column_name, regexp_replace(col(column_name), \"\\\\s+\", \" \"))\n",
+    "    \n",
+    "    return df_transformed\n",
+    "\n",
+    "transformed_df = remove_extra_spaces(df, \"name\")\n",
+    "\n",
+    "transformed_df.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "530beaa6-aabf-43a1-ad2b-361f267e9608",
+   "metadata": {},
+   "source": [
+    "## Testing your PySpark Application\n",
+    "Now let’s test our PySpark transformation function. \n",
+    "\n",
+    "One option is to simply eyeball the resulting DataFrame. However, this can be impractical for large DataFrame or input sizes.\n",
+    "\n",
+    "A better way is to write tests. Here are some examples of how we can test our code. The examples below apply for Spark 3.5 and above versions.\n",
+    "\n",
+    "Note that these examples are not exhaustive, as there are many other test framework alternatives which you can use instead of `unittest` or `pytest`. The built-in PySpark testing util functions are standalone, meaning they can be compatible with any test framework or CI test pipeline.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d84a9fc1-9768-4af4-bfbf-e832f23334dc",
+   "metadata": {},
+   "source": [
+    "### Option 1: Using Only PySpark Built-in Test Utility Functions\n",
+    "\n",
+    "For simple ad-hoc validation cases, PySpark testing utils like `assertDataFrameEqual` and `assertSchemaEqual` can be used in a standalone context.\n",
+    "You could easily test PySpark code in a notebook session. For example, say you want to assert equality between two DataFrames:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8e533732-ee40-4cd0-9669-8eb92973908a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyspark.testing\n",
+    "from pyspark.testing.utils import assertDataFrameEqual\n",
+    "\n",
+    "# Example 1\n",
+    "df1 = spark.createDataFrame(data=[(\"1\", 1000), (\"2\", 3000)], schema=[\"id\", \"amount\"])\n",
+    "df2 = spark.createDataFrame(data=[(\"1\", 1000), (\"2\", 3000)], schema=[\"id\", \"amount\"])\n",
+    "assertDataFrameEqual(df1, df2)  # pass, DataFrames are identical"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "2d77a6be-1e50-4c1a-8a44-85cf7dcec3f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 2\n",
+    "df1 = spark.createDataFrame(data=[(\"1\", 0.1), (\"2\", 3.23)], schema=[\"id\", \"amount\"])\n",
+    "df2 = spark.createDataFrame(data=[(\"1\", 0.109), (\"2\", 3.23)], schema=[\"id\", \"amount\"])\n",
+    "assertDataFrameEqual(df1, df2, rtol=1e-1)  # pass, DataFrames are approx equal by rtol"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76ade5f2-4a1f-4601-9d2a-80da9da950ff",
+   "metadata": {},
+   "source": [
+    "You can also simply compare two DataFrame schemas:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "74393af5-40fb-4d04-87cb-265971ffe6d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyspark.testing.utils import assertSchemaEqual\n",
+    "from pyspark.sql.types import StructType, StructField, ArrayType, DoubleType\n",
+    "\n",
+    "s1 = StructType([StructField(\"names\", ArrayType(DoubleType(), True), True)])\n",
+    "s2 = StructType([StructField(\"names\", ArrayType(DoubleType(), True), True)])\n",
+    "\n",
+    "assertSchemaEqual(s1, s2)  # pass, schemas are identical"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c67be105-f6b1-4083-ad11-9e819331eae8",
+   "metadata": {},
+   "source": [
+    "### Option 2: Using [Unit Test](https://docs.python.org/3/library/unittest.html)\n",
+    "For more complex testing scenarios, you may want to use a testing framework.\n",
+    "\n",
+    "One of the most popular testing framework options is unit tests. Let’s walk through how you can use the built-in Python `unittest` library to write PySpark tests. For more information about the `unittest` library, see here: https://docs.python.org/3/library/unittest.html.  \n",
+    "\n",
+    "First, you will need a Spark session. You can use the `@classmethod` decorator from the `unittest` package to take care of setting up and tearing down a Spark session."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "54093761-0b49-4aee-baec-2d29bcf13f9f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import unittest\n",
+    "\n",
+    "class PySparkTestCase(unittest.TestCase):\n",
+    "    @classmethod\n",
+    "    def setUpClass(cls):\n",
+    "        cls.spark = SparkSession.builder.appName(\"Testing PySpark Example\").getOrCreate() \n",
+    "\n",
+    "    \n",
+    "    @classmethod\n",
+    "    def tearDownClass(cls):\n",
+    "        cls.spark.stop()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3de27500-8526-412e-bf09-6927a760c5d7",
+   "metadata": {},
+   "source": [
+    "Now let’s write a `unittest` class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "34feb5e1-944f-4f6b-9c5f-3b0bf68c7d05",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyspark.testing.utils import assertDataFrameEqual\n",
+    "\n",
+    "class TestTranformation(PySparkTestCase):\n",
+    "    def test_single_space(self):\n",
+    "        sample_data = [{\"name\": \"John    D.\", \"age\": 30}, \n",
+    "                       {\"name\": \"Alice   G.\", \"age\": 25}, \n",
+    "                       {\"name\": \"Bob  T.\", \"age\": 35}, \n",
+    "                       {\"name\": \"Eve   A.\", \"age\": 28}] \n",
+    "                        \n",
+    "        # Create a Spark DataFrame\n",
+    "        original_df = spark.createDataFrame(sample_data)\n",
+    "        \n",
+    "        # Apply the transformation function from before\n",
+    "        transformed_df = remove_extra_spaces(original_df, \"name\")\n",
+    "        \n",
+    "        expected_data = [{\"name\": \"John D.\", \"age\": 30}, \n",
+    "        {\"name\": \"Alice G.\", \"age\": 25}, \n",
+    "        {\"name\": \"Bob T.\", \"age\": 35}, \n",
+    "        {\"name\": \"Eve A.\", \"age\": 28}]\n",
+    "        \n",
+    "        expected_df = spark.createDataFrame(expected_data)\n",
+    "    \n",
+    "        assertDataFrameEqual(transformed_df, expected_df)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "319a690f-71bd-4886-bd3a-424e866525c2",
+   "metadata": {},
+   "source": [
+    "When run, `unittest` will pick up all functions with a name beginning with “test.”"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d79e53d-cc1e-4fdf-a069-478337bed83d",
+   "metadata": {},
+   "source": [
+    "### Option 3: Using [Pytest](https://docs.pytest.org/en/7.1.x/contents.html)\n",
+    "\n",
+    "We can also write our tests with `pytest`, which is one of the most popular Python testing frameworks. For more information about `pytest`, see the docs here: https://docs.pytest.org/en/7.1.x/contents.html.\n",
+    "\n",
+    "Using a `pytest` fixture allows us to share a spark session across tests, tearing it down when the tests are complete."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "60a4f304-1911-4b4d-8ed9-00ecc8b0890b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pytest\n",
+    "\n",
+    "@pytest.fixture\n",
+    "def spark_fixture():\n",
+    "    spark = SparkSession.builder.appName(\"Testing PySpark Example\").getOrCreate()\n",
+    "    yield spark"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fcb4e26a-9bfc-48a5-8aca-538697d66642",
+   "metadata": {},
+   "source": [
+    "We can then define our tests like this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "fa5db3a1-7305-44b7-ab84-f5ed55fd2ba9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pytest\n",
+    "from pyspark.testing.utils import assertDataFrameEqual\n",
+    "\n",
+    "def test_single_space(spark_fixture):\n",
+    "    sample_data = [{\"name\": \"John    D.\", \"age\": 30}, \n",
+    "                   {\"name\": \"Alice   G.\", \"age\": 25}, \n",
+    "                   {\"name\": \"Bob  T.\", \"age\": 35}, \n",
+    "                   {\"name\": \"Eve   A.\", \"age\": 28}] \n",
+    "                    \n",
+    "    # Create a Spark DataFrame\n",
+    "    original_df = spark.createDataFrame(sample_data)\n",
+    "    \n",
+    "    # Apply the transformation function from before\n",
+    "    transformed_df = remove_extra_spaces(original_df, \"name\")\n",
+    "    \n",
+    "    expected_data = [{\"name\": \"John D.\", \"age\": 30}, \n",
+    "    {\"name\": \"Alice G.\", \"age\": 25}, \n",
+    "    {\"name\": \"Bob T.\", \"age\": 35}, \n",
+    "    {\"name\": \"Eve A.\", \"age\": 28}]\n",
+    "    \n",
+    "    expected_df = spark.createDataFrame(expected_data)\n",
+    "\n",
+    "    assertDataFrameEqual(transformed_df, expected_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0fc3f394-3260-4e42-82cf-1a7edc859151",
+   "metadata": {},
+   "source": [
+    "When you run your test file with the `pytest` command, it will pick up all functions that have their name beginning with “test.”"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d8f50eee-5d0b-4719-b505-1b3ff05c16e8",
+   "metadata": {},
+   "source": [
+    "## Putting It All Together!\n",
+    "\n",
+    "Let’s see all the steps together, in a Unit Test example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "a2ea9dec-0ac0-4c23-8770-d6cc226d2e97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pkg/etl.py\n",
+    "import unittest\n",
+    "\n",
+    "from pyspark.sql import SparkSession \n",
+    "from pyspark.sql.functions import col\n",
+    "from pyspark.sql.functions import regexp_replace\n",
+    "from pyspark.testing.utils import assertDataFrameEqual\n",
+    "\n",
+    "# Create a SparkSession \n",
+    "spark = SparkSession.builder.appName(\"Sample PySpark ETL\").getOrCreate() \n",
+    "\n",
+    "sample_data = [{\"name\": \"John    D.\", \"age\": 30}, \n",
+    "  {\"name\": \"Alice   G.\", \"age\": 25}, \n",
+    "  {\"name\": \"Bob  T.\", \"age\": 35}, \n",
+    "  {\"name\": \"Eve   A.\", \"age\": 28}] \n",
+    "\n",
+    "df = spark.createDataFrame(sample_data)\n",
+    "\n",
+    "# Define DataFrame transformation function\n",
+    "def remove_extra_spaces(df, column_name):\n",
+    "    # Remove extra spaces from the specified column using regexp_replace\n",
+    "    df_transformed = df.withColumn(column_name, regexp_replace(col(column_name), \"\\\\s+\", \" \"))\n",
+    "\n",
+    "    return df_transformed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "248aede2-feb9-4828-bd9c-8e25e6b194ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pkg/test_etl.py\n",
+    "import unittest\n",
+    "\n",
+    "from pyspark.sql import SparkSession \n",
+    "\n",
+    "# Define unit test base class\n",
+    "class PySparkTestCase(unittest.TestCase):\n",
+    "    @classmethod\n",
+    "    def setUpClass(cls):\n",
+    "        cls.spark = SparkSession.builder.appName(\"Sample PySpark ETL\").getOrCreate() \n",
+    "\n",
+    "    @classmethod\n",
+    "    def tearDownClass(cls):\n",
+    "        cls.spark.stop()\n",
+    "        \n",
+    "# Define unit test\n",
+    "class TestTranformation(PySparkTestCase):\n",
+    "    def test_single_space(self):\n",
+    "        sample_data = [{\"name\": \"John    D.\", \"age\": 30}, \n",
+    "                        {\"name\": \"Alice   G.\", \"age\": 25}, \n",
+    "                        {\"name\": \"Bob  T.\", \"age\": 35}, \n",
+    "                        {\"name\": \"Eve   A.\", \"age\": 28}] \n",
+    "                \n",
+    "        # Create a Spark DataFrame\n",
+    "        original_df = spark.createDataFrame(sample_data)\n",
+    "    \n",
+    "        # Apply the transformation function from before\n",
+    "        transformed_df = remove_extra_spaces(original_df, \"name\")\n",
+    "    \n",
+    "        expected_data = [{\"name\": \"John D.\", \"age\": 30}, \n",
+    "        {\"name\": \"Alice G.\", \"age\": 25}, \n",
+    "        {\"name\": \"Bob T.\", \"age\": 35}, \n",
+    "        {\"name\": \"Eve A.\", \"age\": 28}]\n",
+    "    \n",
+    "        expected_df = spark.createDataFrame(expected_data)\n",
+    "    \n",
+    "        assertDataFrameEqual(transformed_df, expected_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "a77df5b2-f32e-4d8c-a64b-0078dfa21217",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Ran 1 test in 1.734s\n",
+      "\n",
+      "OK\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<unittest.main.TestProgram at 0x174539db0>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unittest.main(argv=[''], verbosity=0, exit=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "jupyter-oss-env",
+   "language": "python",
+   "name": "jupyter-oss-env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From c07eb18160952fab18a6d118ce2bb56e18d56741 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Mon, 7 Aug 2023 09:07:48 +0900
Subject: [PATCH 169/986] [SPARK-41636][SQL] Make sure `selectFilters` returns
 predicates in deterministic order

### What changes were proposed in this pull request?
Method `DataSourceStrategy#selectFilters`, which is used to determine "pushdown-able" filters, does not preserve the order of the input Seq[Expression] nor does it return the same order across the same plans. This is resulting in CodeGenerator cache misses even when the exact same LogicalPlan is executed.

This PR to make sure `selectFilters` returns predicates in deterministic order.

### Why are the changes needed?
Make sure `selectFilters` returns predicates in deterministic order, to reduce the probability of codegen cache misses.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
add new test.

Closes #42265 from Hisoka-X/SPARK-41636_selectfilters_order.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9462dcd0e996dd940d4970dc75482f7d088ac2ae)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/datasources/DataSourceStrategy.scala |  6 ++++--
 .../datasources/DataSourceStrategySuite.scala      | 14 ++++++++++++++
 2 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 5e6e0ad039258..94c2d2ffaca59 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution.datasources
 
 import java.util.Locale
 
+import scala.collection.immutable.ListMap
 import scala.collection.mutable
 
 import org.apache.hadoop.fs.Path
@@ -670,9 +671,10 @@ object DataSourceStrategy
     // A map from original Catalyst expressions to corresponding translated data source filters.
     // If a predicate is not in this map, it means it cannot be pushed down.
     val supportNestedPredicatePushdown = DataSourceUtils.supportNestedPredicatePushdown(relation)
-    val translatedMap: Map[Expression, Filter] = predicates.flatMap { p =>
+    // SPARK-41636: we keep the order of the predicates to avoid CodeGenerator cache misses
+    val translatedMap: Map[Expression, Filter] = ListMap(predicates.flatMap { p =>
       translateFilter(p, supportNestedPredicatePushdown).map(f => p -> f)
-    }.toMap
+    }: _*)
 
     val pushedFilters: Seq[Filter] = translatedMap.values.toSeq
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategySuite.scala
index a35fb5f627145..2b9ec97bace1e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategySuite.scala
@@ -324,4 +324,18 @@ class DataSourceStrategySuite extends PlanTest with SharedSparkSession {
       DataSourceStrategy.translateFilter(catalystFilter, true)
     }
   }
+
+  test("SPARK-41636: selectFilters returns predicates in deterministic order") {
+
+    val predicates = Seq(EqualTo($"id", 1), EqualTo($"id", 2),
+      EqualTo($"id", 3), EqualTo($"id", 4), EqualTo($"id", 5), EqualTo($"id", 6))
+
+    val (unhandledPredicates, pushedFilters, handledFilters) =
+      DataSourceStrategy.selectFilters(FakeRelation(), predicates)
+    assert(unhandledPredicates.equals(predicates))
+    assert(pushedFilters.zipWithIndex.forall { case (f, i) =>
+      f.equals(sources.EqualTo("id", i + 1))
+    })
+    assert(handledFilters.isEmpty)
+  }
 }

From 1cfa2624c933088deef4281b207631c806230440 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 7 Aug 2023 10:13:59 +0800
Subject: [PATCH 170/986] [SPARK-44690][SPARK-44376][BUILD] Downgrade Scala to
 2.13.8

### What changes were proposed in this pull request?
The aim of this PR is to downgrade the Scala 2.13 dependency to 2.13.8 to ensure that Spark can be build with `-target:jvm-1.8`, and tested with Java 11/17.

### Why are the changes needed?
As reported in SPARK-44376, there are issues when maven build and test using Java 11/17 with `-target:jvm-1.8`:

- run `build/mvn clean install -Pscala-2.13` with Java 17

```
[INFO] --- scala-maven-plugin:4.8.0:compile (scala-compile-first)  spark-core_2.13 ---
[INFO] Compiler bridge file: /Users/yangjie01/.sbt/1.0/zinc/org.scala-sbt/org.scala-sbt-compiler-bridge_2.13-1.8.0-bin_2.13.11__61.0-1.8.0_20221110T195421.jar
[INFO] compiling 602 Scala sources and 77 Java sources to /Users/yangjie01/SourceCode/git/spark-mine-13/core/target/scala-2.13/classes ...
[WARNING] [Warn] : [deprecation   | origin= | version=] -target is deprecated: Use -release instead to compile against the correct platform API.
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala:71: not found: value sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:26: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:27: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:206: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:210: not found: type Unsafe
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:212: not found: type Unsafe
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:213: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:216: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:236: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:26: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:27: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala:452: not found: value sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:99: not found: type SignalHandler
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:99: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:83: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:108: not found: type SignalHandler
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:108: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:114: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:116: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:128: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: Unused import
[WARNING] one warning found
[ERROR] 23 errors found

```

- run `build/mvn clean install  -Pscala-2.13 -Djava.version=17` with Java 17

```
[INFO] --- scala-maven-plugin:4.8.0:compile (scala-compile-first)  spark-tags_2.13 ---
[INFO] Compiler bridge file: /Users/yangjie01/.sbt/1.0/zinc/org.scala-sbt/org.scala-sbt-compiler-bridge_2.13-1.8.0-bin_2.13.11__61.0-1.8.0_20221110T195421.jar
[INFO] compiling 2 Scala sources and 8 Java sources to /Users/yangjie01/SourceCode/git/spark-mine-13/common/tags/target/scala-2.13/classes ...
[WARNING] [Warn] : [deprecation   | origin= | version=] -target is deprecated: Use -release instead to compile against the correct platform API.
[ERROR] [Error] : target platform version 8 is older than the release version 17
[WARNING] one warning found
[ERROR] one error found
```
- run `build/mvn clean package -Pscala-2.13 -DskipTests` or `build/mvn clean install -Pscala-2.13 -DskipTests` with Java 8 first, then run `build/mvn test -Pscala-2.13` with Java 17

```
[INFO] --- scala-maven-plugin:4.8.0:compile (scala-compile-first)  spark-core_2.13 ---
[INFO] Compiler bridge file: /Users/yangjie01/.sbt/1.0/zinc/org.scala-sbt/org.scala-sbt-compiler-bridge_2.13-1.8.0-bin_2.13.11__61.0-1.8.0_20221110T195421.jar
[INFO] compiling 602 Scala sources and 77 Java sources to /Users/yangjie01/SourceCode/git/spark-mine-13/core/target/scala-2.13/classes ...
[WARNING] [Warn] : [deprecation   | origin= | version=] -target is deprecated: Use -release instead to compile against the correct platform API.
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala:71: not found: value sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:26: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:27: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:206: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:210: not found: type Unsafe
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:212: not found: type Unsafe
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:213: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:216: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:236: not found: type DirectBuffer
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:26: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala:27: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala:452: not found: value sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: not found: object sun
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:99: not found: type SignalHandler
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:99: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:83: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:108: not found: type SignalHandler
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:108: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:114: not found: type Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:116: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:128: not found: value Signal
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: Unused import
[ERROR] [Error] /Users/yangjie01/SourceCode/git/spark-mine-13/core/src/main/scala/org/apache/spark/util/SignalUtils.scala:26: Unused import
[WARNING] one warning found
[ERROR] 23 errors found
```

This is inconsistent with the behavior of the released `Apache Spark` version, so we need to use the previous Scala2.13 version to support this behavior.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Pass GitHub Actions
- Manual checked, the above command can run normally after this pr

Closes #42364 from LuciferYang/SPARK-44690.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 656bf36363c466b60d00452399994ccaaa654ed8)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 pom.xml                  | 6 +-----
 project/SparkBuild.scala | 4 +---
 2 files changed, 2 insertions(+), 8 deletions(-)

diff --git a/pom.xml b/pom.xml
index d60722e731202..9438a112c2460 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3600,7 +3600,7 @@
     <profile>
       <id>scala-2.13</id>
       <properties>
-        <scala.version>2.13.11</scala.version>
+        <scala.version>2.13.8</scala.version>
         <scala.binary.version>2.13</scala.binary.version>
       </properties>
       <build>
@@ -3659,10 +3659,6 @@
                   -->
                   <arg>-Wconf:cat=unused-imports&amp;src=org\/apache\/spark\/graphx\/impl\/VertexPartitionBase.scala:s</arg>
                   <arg>-Wconf:cat=unused-imports&amp;src=org\/apache\/spark\/graphx\/impl\/VertexPartitionBaseOps.scala:s</arg>
-                  <!--
-                    SPARK-40497 Upgrade Scala to 2.13.11 and suppress `Implicit definition should have explicit type`
-                  -->
-                  <arg>-Wconf:msg=Implicit definition should have explicit type:s</arg>
                 </args>
                 <compilerPlugins combine.self="override">
                 </compilerPlugins>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index e585d5dd2b25c..7900762602689 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -286,9 +286,7 @@ object SparkBuild extends PomBuild {
           // TODO(SPARK-43850): Remove the following suppression rules and remove `import scala.language.higherKinds`
           // from the corresponding files when Scala 2.12 is no longer supported.
           "-Wconf:cat=unused-imports&src=org\\/apache\\/spark\\/graphx\\/impl\\/VertexPartitionBase.scala:s",
-          "-Wconf:cat=unused-imports&src=org\\/apache\\/spark\\/graphx\\/impl\\/VertexPartitionBaseOps.scala:s",
-          // SPARK-40497 Upgrade Scala to 2.13.11 and suppress `Implicit definition should have explicit type`
-          "-Wconf:msg=Implicit definition should have explicit type:s"
+          "-Wconf:cat=unused-imports&src=org\\/apache\\/spark\\/graphx\\/impl\\/VertexPartitionBaseOps.scala:s"
         )
       }
     }

From 816ee7e2716f2652e7cebe85fe949b6d9b44ffab Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 7 Aug 2023 10:27:53 +0800
Subject: [PATCH 171/986] [SPARK-44693][BUILD] Rename the `object Catalyst` in
 SparkBuild to `object SqlApi`

### What changes were proposed in this pull request?
This PR renames the Setting object used by the `SqlApi` module in `SparkBuild/scala` from `object Catalyst` to `object SqlApi`.

### Why are the changes needed?
The `SqlApi` module should use a more appropriate Setting object name.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions

Closes #42361 from LuciferYang/rename-catalyst-2-sqlapi.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit a98b11274d95f7c9f6e550ef6394e803bc0c17ca)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 project/SparkBuild.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 7900762602689..bd65d3c4bd4aa 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -449,7 +449,7 @@ object SparkBuild extends PomBuild {
   enable(Unidoc.settings)(spark)
 
   /* Sql-api ANTLR generation settings */
-  enable(Catalyst.settings)(sqlApi)
+  enable(SqlApi.settings)(sqlApi)
 
   /* Spark SQL Core console settings */
   enable(SQL.settings)(sql)
@@ -1169,7 +1169,7 @@ object OldDeps {
   )
 }
 
-object Catalyst {
+object SqlApi {
   import com.simplytyped.Antlr4Plugin
   import com.simplytyped.Antlr4Plugin.autoImport._
 

From 200440e18458e84d178d9eda5a2c54bcedc634ee Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Mon, 7 Aug 2023 12:01:45 +0900
Subject: [PATCH 172/986] [SPARK-44682][PS] Make pandas error class
 message_parameters strings

This PR converts the types for message_parameters for pandas error classes to string, to ensure ability to compare error class messages in tests.

The change ensures the ability to compare error class messages in tests.

No, the PR does not affect the user-facing view of the error messages.

Updated `python/pyspark/pandas/tests/test_utils.py` and existing tests

Closes #42348 from asl3/string-pandas-error-types.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit df8e52d84d1eabf48f68d09491f66a0835f41693)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/tests/test_utils.py | 16 +++----
 python/pyspark/testing/pandasutils.py     | 56 +++++++++++------------
 2 files changed, 36 insertions(+), 36 deletions(-)

diff --git a/python/pyspark/pandas/tests/test_utils.py b/python/pyspark/pandas/tests/test_utils.py
index 3d658446f2766..0bb03dd8749da 100644
--- a/python/pyspark/pandas/tests/test_utils.py
+++ b/python/pyspark/pandas/tests/test_utils.py
@@ -208,10 +208,10 @@ def test_series_error_assert_pandas_equal(self):
             exception=pe.exception,
             error_class="DIFFERENT_PANDAS_SERIES",
             message_parameters={
-                "left": series1,
-                "left_dtype": series1.dtype,
-                "right": series2,
-                "right_dtype": series2.dtype,
+                "left": series1.to_string(),
+                "left_dtype": str(series1.dtype),
+                "right": series2.to_string(),
+                "right_dtype": str(series2.dtype),
             },
         )
 
@@ -227,9 +227,9 @@ def test_index_error_assert_pandas_equal(self):
             error_class="DIFFERENT_PANDAS_INDEX",
             message_parameters={
                 "left": index1,
-                "left_dtype": index1.dtype,
+                "left_dtype": str(index1.dtype),
                 "right": index2,
-                "right_dtype": index2.dtype,
+                "right_dtype": str(index2.dtype),
             },
         )
 
@@ -247,9 +247,9 @@ def test_multiindex_error_assert_pandas_almost_equal(self):
             error_class="DIFFERENT_PANDAS_MULTIINDEX",
             message_parameters={
                 "left": multiindex1,
-                "left_dtype": multiindex1.dtype,
+                "left_dtype": str(multiindex1.dtype),
                 "right": multiindex2,
-                "right_dtype": multiindex2.dtype,
+                "right_dtype": str(multiindex1.dtype),
             },
         )
 
diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 5899925352144..39196873482b1 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -124,10 +124,10 @@ def _assert_pandas_equal(
             raise PySparkAssertionError(
                 error_class="DIFFERENT_PANDAS_SERIES",
                 message_parameters={
-                    "left": left,
-                    "left_dtype": left.dtype,
-                    "right": right,
-                    "right_dtype": right.dtype,
+                    "left": left.to_string(),
+                    "left_dtype": str(left.dtype),
+                    "right": right.to_string(),
+                    "right_dtype": str(right.dtype),
                 },
             )
     elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
@@ -143,9 +143,9 @@ def _assert_pandas_equal(
                 error_class="DIFFERENT_PANDAS_INDEX",
                 message_parameters={
                     "left": left,
-                    "left_dtype": left.dtype,
+                    "left_dtype": str(left.dtype),
                     "right": right,
-                    "right_dtype": right.dtype,
+                    "right_dtype": str(right.dtype),
                 },
             )
     else:
@@ -228,10 +228,10 @@ def _assert_pandas_almost_equal(
             raise PySparkAssertionError(
                 error_class="DIFFERENT_PANDAS_SERIES",
                 message_parameters={
-                    "left": left,
-                    "left_dtype": left.dtype,
-                    "right": right,
-                    "right_dtype": right.dtype,
+                    "left": left.to_string(),
+                    "left_dtype": str(left.dtype),
+                    "right": right.to_string(),
+                    "right_dtype": str(right.dtype),
                 },
             )
         for lnull, rnull in zip(left.isnull(), right.isnull()):
@@ -239,10 +239,10 @@ def _assert_pandas_almost_equal(
                 raise PySparkAssertionError(
                     error_class="DIFFERENT_PANDAS_SERIES",
                     message_parameters={
-                        "left": left,
-                        "left_dtype": left.dtype,
-                        "right": right,
-                        "right_dtype": right.dtype,
+                        "left": left.to_string(),
+                        "left_dtype": str(left.dtype),
+                        "right": right.to_string(),
+                        "right_dtype": str(right.dtype),
                     },
                 )
         for lval, rval in zip(left.dropna(), right.dropna()):
@@ -253,10 +253,10 @@ def _assert_pandas_almost_equal(
                     raise PySparkAssertionError(
                         error_class="DIFFERENT_PANDAS_SERIES",
                         message_parameters={
-                            "left": left,
-                            "left_dtype": left.dtype,
-                            "right": right,
-                            "right_dtype": right.dtype,
+                            "left": left.to_string(),
+                            "left_dtype": str(left.dtype),
+                            "right": right.to_string(),
+                            "right_dtype": str(right.dtype),
                         },
                     )
     elif isinstance(left, pd.MultiIndex) and isinstance(right, pd.MultiIndex):
@@ -265,9 +265,9 @@ def _assert_pandas_almost_equal(
                 error_class="DIFFERENT_PANDAS_MULTIINDEX",
                 message_parameters={
                     "left": left,
-                    "left_dtype": left.dtype,
+                    "left_dtype": str(left.dtype),
                     "right": right,
-                    "right_dtype": right.dtype,
+                    "right_dtype": str(right.dtype),
                 },
             )
         for lval, rval in zip(left, right):
@@ -279,9 +279,9 @@ def _assert_pandas_almost_equal(
                         error_class="DIFFERENT_PANDAS_MULTIINDEX",
                         message_parameters={
                             "left": left,
-                            "left_dtype": left.dtype,
+                            "left_dtype": str(left.dtype),
                             "right": right,
-                            "right_dtype": right.dtype,
+                            "right_dtype": str(right.dtype),
                         },
                     )
     elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
@@ -290,9 +290,9 @@ def _assert_pandas_almost_equal(
                 error_class="DIFFERENT_PANDAS_INDEX",
                 message_parameters={
                     "left": left,
-                    "left_dtype": left.dtype,
+                    "left_dtype": str(left.dtype),
                     "right": right,
-                    "right_dtype": right.dtype,
+                    "right_dtype": str(right.dtype),
                 },
             )
         for lnull, rnull in zip(left.isnull(), right.isnull()):
@@ -301,9 +301,9 @@ def _assert_pandas_almost_equal(
                     error_class="DIFFERENT_PANDAS_INDEX",
                     message_parameters={
                         "left": left,
-                        "left_dtype": left.dtype,
+                        "left_dtype": str(left.dtype),
                         "right": right,
-                        "right_dtype": right.dtype,
+                        "right_dtype": str(right.dtype),
                     },
                 )
         for lval, rval in zip(left.dropna(), right.dropna()):
@@ -315,9 +315,9 @@ def _assert_pandas_almost_equal(
                         error_class="DIFFERENT_PANDAS_INDEX",
                         message_parameters={
                             "left": left,
-                            "left_dtype": left.dtype,
+                            "left_dtype": str(left.dtype),
                             "right": right,
-                            "right_dtype": right.dtype,
+                            "right_dtype": str(right.dtype),
                         },
                     )
     else:

From b5ab247aa6e45180c2e826da74fcb615f3da3335 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Mon, 7 Aug 2023 13:03:03 +0800
Subject: [PATCH 173/986] [SPARK-44644][PYTHON][3.5] Improve error messages for
 Python UDTFs with pickling errors

### What changes were proposed in this pull request?

Cherry-pick https://github.com/apache/spark/commit/62415dc59627e1f7b4e3449ae728e93c1fc0b74f

This PR improves the error messages when a Python UDTF failed to pickle.

### Why are the changes needed?

To make the error message more user-friendly

### Does this PR introduce _any_ user-facing change?

Yes, before this PR, when a UDTF fails to pickle, it throws this confusing exception:
```
_pickle.PicklingError: Cannot pickle files that are not opened for reading: w
```
After this PR, the error is more clear:
`[UDTF_SERIALIZATION_ERROR] Cannot serialize the UDTF 'TestUDTF': Please check the stack trace and make sure that the function is serializable.`

And for spark session access inside a UDTF:
`[UDTF_SERIALIZATION_ERROR] it appears that you are attempting to reference SparkSession inside a UDTF. SparkSession can only be used on the driver, not in code that runs on workers. Please remove the reference and try again.`

### How was this patch tested?

New UTs.

Closes #42349 from allisonwang-db/spark-44644-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../pyspark/cloudpickle/cloudpickle_fast.py   |  2 +-
 python/pyspark/errors/error_classes.py        |  5 ++++
 python/pyspark/sql/connect/plan.py            | 15 ++++++++--
 python/pyspark/sql/tests/test_udtf.py         | 30 ++++++++++++++++++-
 python/pyspark/sql/udtf.py                    | 25 +++++++++++++++-
 5 files changed, 72 insertions(+), 5 deletions(-)

diff --git a/python/pyspark/cloudpickle/cloudpickle_fast.py b/python/pyspark/cloudpickle/cloudpickle_fast.py
index 63aaffa096b2c..ee1f4b8ee967e 100644
--- a/python/pyspark/cloudpickle/cloudpickle_fast.py
+++ b/python/pyspark/cloudpickle/cloudpickle_fast.py
@@ -631,7 +631,7 @@ def dump(self, obj):
         try:
             return Pickler.dump(self, obj)
         except RuntimeError as e:
-            if "recursion" in e.args[0]:
+            if len(e.args) > 0 and "recursion" in e.args[0]:
                 msg = (
                     "Could not pickle object as excessively deep recursion "
                     "required."
diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 4ea3e67881029..971dc59bbb291 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -743,6 +743,11 @@
       "Mismatch in return type for the UDTF '<name>'. Expected a 'StructType', but got '<return_type>'. Please ensure the return type is a correctly formatted StructType."
     ]
   },
+  "UDTF_SERIALIZATION_ERROR" : {
+    "message" : [
+      "Cannot serialize the UDTF '<name>': <message>"
+    ]
+  },
   "UNEXPECTED_RESPONSE_FROM_SERVER" : {
     "message" : [
       "Unexpected response from iterator server."
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 3390faa04de28..2e918700848cc 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -21,6 +21,7 @@
 from typing import Any, List, Optional, Type, Sequence, Union, cast, TYPE_CHECKING, Mapping, Dict
 import functools
 import json
+import pickle
 from threading import Lock
 from inspect import signature, isclass
 
@@ -40,7 +41,7 @@
     LiteralExpression,
 )
 from pyspark.sql.connect.types import pyspark_types_to_proto_types, UnparsedDataType
-from pyspark.errors import PySparkTypeError, PySparkNotImplementedError
+from pyspark.errors import PySparkTypeError, PySparkNotImplementedError, PySparkRuntimeError
 
 if TYPE_CHECKING:
     from pyspark.sql.connect._typing import ColumnOrName
@@ -2200,7 +2201,17 @@ def to_plan(self, session: "SparkConnectClient") -> proto.PythonUDTF:
         assert self._return_type is not None
         udtf.return_type.CopyFrom(pyspark_types_to_proto_types(self._return_type))
         udtf.eval_type = self._eval_type
-        udtf.command = CloudPickleSerializer().dumps(self._func)
+        try:
+            udtf.command = CloudPickleSerializer().dumps(self._func)
+        except pickle.PicklingError:
+            raise PySparkRuntimeError(
+                error_class="UDTF_SERIALIZATION_ERROR",
+                message_parameters={
+                    "name": self._name,
+                    "message": "Please check the stack trace and "
+                    "make sure the function is serializable.",
+                },
+            )
         udtf.python_ver = self._python_ver
         return udtf
 
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 4a65a9bd2e449..9384a6bc01111 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -14,7 +14,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
+import tempfile
 import unittest
 
 from typing import Iterator
@@ -24,6 +25,7 @@
     PythonException,
     PySparkTypeError,
     AnalysisException,
+    PySparkRuntimeError,
 )
 from pyspark.rdd import PythonEvalType
 from pyspark.sql.functions import lit, udf, udtf
@@ -715,6 +717,32 @@ def upper(s: str):
             },
         )
 
+    def test_udtf_pickle_error(self):
+        with tempfile.TemporaryDirectory() as d:
+            file = os.path.join(d, "file.txt")
+            file_obj = open(file, "w")
+
+            @udtf(returnType="x: int")
+            class TestUDTF:
+                def eval(self):
+                    file_obj
+                    yield 1,
+
+            with self.assertRaisesRegex(PySparkRuntimeError, "UDTF_SERIALIZATION_ERROR"):
+                TestUDTF().collect()
+
+    def test_udtf_access_spark_session(self):
+        df = self.spark.range(10)
+
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def eval(self):
+                df.collect()
+                yield 1,
+
+        with self.assertRaisesRegex(PySparkRuntimeError, "UDTF_SERIALIZATION_ERROR"):
+            TestUDTF().collect()
+
     def test_udtf_no_eval(self):
         with self.assertRaises(PySparkAttributeError) as e:
 
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index 7cbf4732ba9e2..bf85b55fea392 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -17,6 +17,7 @@
 """
 User-defined table function related classes and functions
 """
+import pickle
 import sys
 import warnings
 from functools import wraps
@@ -240,7 +241,29 @@ def _create_judtf(self, func: Type) -> JavaObject:
         spark = SparkSession._getActiveSessionOrCreate()
         sc = spark.sparkContext
 
-        wrapped_func = _wrap_function(sc, func)
+        try:
+            wrapped_func = _wrap_function(sc, func)
+        except pickle.PicklingError as e:
+            if "CONTEXT_ONLY_VALID_ON_DRIVER" in str(e):
+                raise PySparkRuntimeError(
+                    error_class="UDTF_SERIALIZATION_ERROR",
+                    message_parameters={
+                        "name": self._name,
+                        "message": "it appears that you are attempting to reference SparkSession "
+                        "inside a UDTF. SparkSession can only be used on the driver, "
+                        "not in code that runs on workers. Please remove the reference "
+                        "and try again.",
+                    },
+                ) from None
+            raise PySparkRuntimeError(
+                error_class="UDTF_SERIALIZATION_ERROR",
+                message_parameters={
+                    "name": self._name,
+                    "message": "Please check the stack trace and make sure the "
+                    "function is serializable.",
+                },
+            )
+
         jdt = spark._jsparkSession.parseDataType(self.returnType.json())
         assert sc._jvm is not None
         judtf = sc._jvm.org.apache.spark.sql.execution.python.UserDefinedPythonTableFunction(

From 7ecbdfa2fdb5d698abd6d09a2d7fd3e81c05d4d1 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 7 Aug 2023 20:46:38 +0900
Subject: [PATCH 174/986] [SPARK-44701][PYTHON][TESTS] Skip
 `ClassificationTestsOnConnect` when `torch` is not installed

### What changes were proposed in this pull request?
Skip `ClassificationTestsOnConnect` when `torch` is not installed

### Why are the changes needed?
we moved torch on connect tests to `pyspark_ml_connect`, so module `pyspark_connect` won't have `torch`

to fix https://github.com/apache/spark/actions/runs/5776211318/job/15655104006 in 3.5 daily GA:

```
Starting test(python3.9): pyspark.ml.tests.connect.test_connect_classification (temp output: /__w/spark/spark/python/target/fbb6a495-df65-4334-8c04-4befc9ee81df/python3.9__pyspark.ml.tests.connect.test_connect_classification__jp1htw6f.log)
Traceback (most recent call last):
  File "/usr/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/__w/spark/spark/python/pyspark/ml/tests/connect/test_connect_classification.py", line 21, in <module>
    from pyspark.ml.tests.connect.test_legacy_mode_classification import ClassificationTestsMixin
  File "/__w/spark/spark/python/pyspark/ml/tests/connect/test_legacy_mode_classification.py", line 22, in <module>
    from pyspark.ml.connect.classification import (
  File "/__w/spark/spark/python/pyspark/ml/connect/classification.py", line 46, in <module>
    import torch
ModuleNotFoundError: No module named 'torch'
```

### Does this PR introduce _any_ user-facing change?
no, test-only

### How was this patch tested?
CI

Closes #42375 from zhengruifeng/torch_skip.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 433fb2af8a3ca239958cb7b006e2924ecfac0d56)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../ml/tests/connect/test_connect_classification.py        | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/python/pyspark/ml/tests/connect/test_connect_classification.py b/python/pyspark/ml/tests/connect/test_connect_classification.py
index 6ad47322234c5..f3e621c19f0f0 100644
--- a/python/pyspark/ml/tests/connect/test_connect_classification.py
+++ b/python/pyspark/ml/tests/connect/test_connect_classification.py
@@ -20,7 +20,14 @@
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_classification import ClassificationTestsMixin
 
+have_torch = True
+try:
+    import torch  # noqa: F401
+except ImportError:
+    have_torch = False
 
+
+@unittest.skipIf(not have_torch, "torch is required")
 class ClassificationTestsOnConnect(ClassificationTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (

From 8f6f301fa778dfd0fd7dec4a29df7106846d3277 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 7 Aug 2023 15:09:58 +0200
Subject: [PATCH 175/986] [SPARK-44686][CONNECT][SQL] Add the ability to create
 a RowEncoder in Encoders.scala

### What changes were proposed in this pull request?
### Why are the changes needed?
It is currently not possible to create a `RowEncoder` using public API. The internal APIs for this will change in Spark 3.5, this means that library maintainers have to update their code if they use a RowEncoder. To avoid happening again, we add this method to the public API.

### Does this PR introduce _any_ user-facing change?
Yes. It adds the `row` method to `Encoders`.

### How was this patch tested?
Added tests to connect and sql.

Closes #42366 from hvanhovell/SPARK-44686.

Lead-authored-by: Herman van Hovell <herman@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit bf7654998fbbec9d5bdee6f46462cffef495545f)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Encoders.scala | 10 +++++-
 .../apache/spark/sql/JavaEncoderSuite.java    | 31 ++++++++++++++++---
 project/MimaExcludes.scala                    |  2 ++
 .../java/org/apache/spark/sql/RowFactory.java |  0
 .../scala/org/apache/spark/sql/Encoders.scala |  7 +++++
 .../apache/spark/sql/JavaDatasetSuite.java    | 19 ++++++++++++
 6 files changed, 64 insertions(+), 5 deletions(-)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/RowFactory.java (100%)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
index 3f2f7ec96d4f5..74f0133803137 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Encoders.scala
@@ -19,8 +19,9 @@ package org.apache.spark.sql
 import scala.reflect.runtime.universe.TypeTag
 
 import org.apache.spark.sql.catalyst.{JavaTypeInference, ScalaReflection}
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, RowEncoder => RowEncoderFactory}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
+import org.apache.spark.sql.types.StructType
 
 /**
  * Methods for creating an [[Encoder]].
@@ -168,6 +169,13 @@ object Encoders {
    */
   def bean[T](beanClass: Class[T]): Encoder[T] = JavaTypeInference.encoderFor(beanClass)
 
+  /**
+   * Creates a [[Row]] encoder for schema `schema`.
+   *
+   * @since 3.5.0
+   */
+  def row(schema: StructType): Encoder[Row] = RowEncoderFactory.encoderFor(schema)
+
   private def tupleEncoder[T](encoders: Encoder[_]*): Encoder[T] = {
     ProductEncoder.tuple(encoders.asInstanceOf[Seq[AgnosticEncoder[_]]]).asInstanceOf[Encoder[T]]
   }
diff --git a/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
index c8210a7a485b1..6e5fb72d4964b 100644
--- a/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
+++ b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
@@ -16,21 +16,26 @@
  */
 package org.apache.spark.sql;
 
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.util.Arrays;
+import java.util.List;
+
 import org.junit.*;
 import static org.junit.Assert.*;
 
 import static org.apache.spark.sql.Encoders.*;
 import static org.apache.spark.sql.functions.*;
+import static org.apache.spark.sql.RowFactory.create;
 import org.apache.spark.sql.connect.client.SparkConnectClient;
 import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils;
-
-import java.math.BigDecimal;
-import java.util.Arrays;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.types.StructType;
 
 /**
  * Tests for the encoders class.
  */
-public class JavaEncoderSuite {
+public class JavaEncoderSuite implements Serializable {
   private static SparkSession spark;
 
   @BeforeClass
@@ -91,4 +96,22 @@ public void testSimpleEncoders() {
         dataset(DECIMAL(), bigDec(1000, 2), bigDec(2, 2))
             .select(sum(v)).as(DECIMAL()).head().setScale(2));
   }
+
+  @Test
+  public void testRowEncoder() {
+    final StructType schema = new StructType()
+        .add("a", "int")
+        .add("b", "string");
+    final Dataset<Row> df = spark.range(3)
+        .map(new MapFunction<Long, Row>() {
+               @Override
+               public Row call(Long i) {
+                 return create(i.intValue(), "s" + i);
+               }
+             },
+            Encoders.row(schema))
+        .filter(col("a").geq(1));
+    final List<Row> expected = Arrays.asList(create(1, "s1"), create(2, "s2"));
+    Assert.assertEquals(expected, df.collectAsList());
+  }
 }
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 6cc2033ebbebd..c2ccb680cbdbd 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -67,6 +67,8 @@ object MimaExcludes {
     // [SPARK-44507][SQL][CONNECT] Move AnalysisException to sql/api.
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.AnalysisException"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.AnalysisException$"),
+    // [SPARK-44686][CONNECT][SQL] Add the ability to create a RowEncoder in Encoders
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.RowFactory"),
     // [SPARK-44535][CONNECT][SQL] Move required Streaming API to sql/api
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupStateTimeout"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode")
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/RowFactory.java b/sql/api/src/main/java/org/apache/spark/sql/RowFactory.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/RowFactory.java
rename to sql/api/src/main/java/org/apache/spark/sql/RowFactory.java
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/Encoders.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/Encoders.scala
index a419804488654..9b95f74db3a49 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/Encoders.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/Encoders.scala
@@ -178,6 +178,13 @@ object Encoders {
    */
   def bean[T](beanClass: Class[T]): Encoder[T] = ExpressionEncoder.javaBean(beanClass)
 
+  /**
+   * Creates a [[Row]] encoder for schema `schema`.
+   *
+   * @since 3.5.0
+   */
+  def row(schema: StructType): Encoder[Row] = ExpressionEncoder(schema)
+
   /**
    * (Scala-specific) Creates an encoder that serializes objects of type T using Kryo.
    * This encoder maps T into a single byte array (binary) field.
diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
index 48fd009d6e70f..4f7cf8da78722 100644
--- a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
+++ b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
@@ -42,6 +42,7 @@
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.api.java.function.*;
 import org.apache.spark.sql.*;
+import static org.apache.spark.sql.RowFactory.create;
 import org.apache.spark.sql.catalyst.encoders.OuterScopes;
 import org.apache.spark.sql.catalyst.expressions.GenericRow;
 import org.apache.spark.sql.test.TestSparkSession;
@@ -1956,6 +1957,24 @@ public void testSpecificLists() {
     Assert.assertEquals(beans, dataset.collectAsList());
   }
 
+  @Test
+  public void testRowEncoder() {
+    final StructType schema = new StructType()
+        .add("a", "int")
+        .add("b", "string");
+    final Dataset<Row> df = spark.range(3)
+        .map(new MapFunction<Long, Row>() {
+               @Override
+               public Row call(Long i) {
+                 return create(i.intValue(), "s" + i);
+               }
+             },
+            Encoders.row(schema))
+        .filter(col("a").geq(1));
+    final List<Row> expected = Arrays.asList(create(1, "s1"), create(2, "s2"));
+    Assert.assertEquals(expected, df.collectAsList());
+  }
+
   public static class SpecificListsBean implements Serializable {
     private ArrayList<Integer> arrayList;
     private LinkedList<Integer> linkedList;

From ea6b41cb3989996e45102b1930b1498324761093 Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Mon, 7 Aug 2023 11:48:24 -0700
Subject: [PATCH 176/986] [SPARK-44561][PYTHON] Fix AssertionError when
 converting UDTF output to a complex type

### What changes were proposed in this pull request?

Fixes AssertionError when converting UDTF output to a complex type by ignore assertions in `_create_converter_from_pandas` to make Arrow raise an error.

### Why are the changes needed?

There is an assertion in `_create_converter_from_pandas`, but it should not be applied for Python UDTF case.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added/modified the related tests.

Closes #42310 from ueshin/issues/SPARK-44561/udtf_complex_types.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit f1a161cb39504bd625ea7fa50d2cc72a1a2a59e9)
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/pyspark/sql/pandas/serializers.py      |   5 +-
 python/pyspark/sql/pandas/types.py            | 108 ++++++--
 .../sql/tests/connect/test_parity_udtf.py     |   3 +
 python/pyspark/sql/tests/test_udtf.py         | 247 ++++++++++++++++--
 4 files changed, 314 insertions(+), 49 deletions(-)

diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index f3037c8b39c86..d1a3babb1fdc0 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -571,7 +571,10 @@ def _create_array(self, series, arrow_type, spark_type=None, arrow_cast=False):
             dt = spark_type or from_arrow_type(arrow_type, prefer_timestamp_ntz=True)
             # TODO(SPARK-43579): cache the converter for reuse
             conv = _create_converter_from_pandas(
-                dt, timezone=self._timezone, error_on_duplicated_field_names=False
+                dt,
+                timezone=self._timezone,
+                error_on_duplicated_field_names=False,
+                ignore_unexpected_complex_type_values=True,
             )
             series = conv(series)
 
diff --git a/python/pyspark/sql/pandas/types.py b/python/pyspark/sql/pandas/types.py
index 533620476041a..b02a003e632cb 100644
--- a/python/pyspark/sql/pandas/types.py
+++ b/python/pyspark/sql/pandas/types.py
@@ -21,7 +21,7 @@
 """
 import datetime
 import itertools
-from typing import Any, Callable, List, Optional, Union, TYPE_CHECKING
+from typing import Any, Callable, Iterable, List, Optional, Union, TYPE_CHECKING
 
 from pyspark.sql.types import (
     cast,
@@ -750,6 +750,7 @@ def _create_converter_from_pandas(
     *,
     timezone: Optional[str],
     error_on_duplicated_field_names: bool = True,
+    ignore_unexpected_complex_type_values: bool = False,
 ) -> Callable[["pd.Series"], "pd.Series"]:
     """
     Create a converter of pandas Series to create Spark DataFrame with Arrow optimization.
@@ -763,6 +764,17 @@ def _create_converter_from_pandas(
     error_on_duplicated_field_names : bool, optional
         Whether raise an exception when there are duplicated field names.
         (default ``True``)
+    ignore_unexpected_complex_type_values : bool, optional
+        Whether ignore the case where unexpected values are given for complex types.
+        If ``False``, each complex type expects:
+
+        * array type: :class:`Iterable`
+        * map type: :class:`dict`
+        * struct type: :class:`dict` or :class:`tuple`
+
+        and raise an AssertionError when the given value is not the expected type.
+        If ``True``, just ignore and return the give value.
+        (default ``False``)
 
     Returns
     -------
@@ -781,15 +793,26 @@ def correct_timestamp(pser: pd.Series) -> pd.Series:
     def _converter(dt: DataType) -> Optional[Callable[[Any], Any]]:
 
         if isinstance(dt, ArrayType):
-            _element_conv = _converter(dt.elementType)
-            if _element_conv is None:
-                return None
+            _element_conv = _converter(dt.elementType) or (lambda x: x)
 
-            def convert_array(value: Any) -> Any:
-                if value is None:
-                    return None
-                else:
-                    return [_element_conv(v) for v in value]  # type: ignore[misc]
+            if ignore_unexpected_complex_type_values:
+
+                def convert_array(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    elif isinstance(value, Iterable):
+                        return [_element_conv(v) for v in value]
+                    else:
+                        return value
+
+            else:
+
+                def convert_array(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    else:
+                        assert isinstance(value, Iterable)
+                        return [_element_conv(v) for v in value]
 
             return convert_array
 
@@ -797,12 +820,24 @@ def convert_array(value: Any) -> Any:
             _key_conv = _converter(dt.keyType) or (lambda x: x)
             _value_conv = _converter(dt.valueType) or (lambda x: x)
 
-            def convert_map(value: Any) -> Any:
-                if value is None:
-                    return None
-                else:
-                    assert isinstance(value, dict)
-                    return [(_key_conv(k), _value_conv(v)) for k, v in value.items()]
+            if ignore_unexpected_complex_type_values:
+
+                def convert_map(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    elif isinstance(value, dict):
+                        return [(_key_conv(k), _value_conv(v)) for k, v in value.items()]
+                    else:
+                        return value
+
+            else:
+
+                def convert_map(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    else:
+                        assert isinstance(value, dict)
+                        return [(_key_conv(k), _value_conv(v)) for k, v in value.items()]
 
             return convert_map
 
@@ -820,17 +855,38 @@ def convert_map(value: Any) -> Any:
 
             field_convs = [_converter(f.dataType) or (lambda x: x) for f in dt.fields]
 
-            def convert_struct(value: Any) -> Any:
-                if value is None:
-                    return None
-                elif isinstance(value, dict):
-                    return {
-                        dedup_field_names[i]: field_convs[i](value.get(key, None))
-                        for i, key in enumerate(field_names)
-                    }
-                else:
-                    assert isinstance(value, tuple)
-                    return {dedup_field_names[i]: field_convs[i](v) for i, v in enumerate(value)}
+            if ignore_unexpected_complex_type_values:
+
+                def convert_struct(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    elif isinstance(value, dict):
+                        return {
+                            dedup_field_names[i]: field_convs[i](value.get(key, None))
+                            for i, key in enumerate(field_names)
+                        }
+                    elif isinstance(value, tuple):
+                        return {
+                            dedup_field_names[i]: field_convs[i](v) for i, v in enumerate(value)
+                        }
+                    else:
+                        return value
+
+            else:
+
+                def convert_struct(value: Any) -> Any:
+                    if value is None:
+                        return None
+                    elif isinstance(value, dict):
+                        return {
+                            dedup_field_names[i]: field_convs[i](value.get(key, None))
+                            for i, key in enumerate(field_names)
+                        }
+                    else:
+                        assert isinstance(value, tuple)
+                        return {
+                            dedup_field_names[i]: field_convs[i](v) for i, v in enumerate(value)
+                        }
 
             return convert_struct
 
diff --git a/python/pyspark/sql/tests/connect/test_parity_udtf.py b/python/pyspark/sql/tests/connect/test_parity_udtf.py
index 355f5288d2c99..1222b1bb5b44f 100644
--- a/python/pyspark/sql/tests/connect/test_parity_udtf.py
+++ b/python/pyspark/sql/tests/connect/test_parity_udtf.py
@@ -43,6 +43,9 @@ def tearDownClass(cls):
 
     # TODO: use PySpark error classes instead of SparkConnectGrpcException
 
+    def test_struct_output_type_casting_row(self):
+        self.check_struct_output_type_casting_row(SparkConnectGrpcException)
+
     def test_udtf_with_invalid_return_type(self):
         @udtf(returnType="int")
         class TestUDTF:
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 9384a6bc01111..0540ecddde70d 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -17,9 +17,10 @@
 import os
 import tempfile
 import unittest
-
 from typing import Iterator
 
+from py4j.protocol import Py4JJavaError
+
 from pyspark.errors import (
     PySparkAttributeError,
     PythonException,
@@ -558,12 +559,14 @@ def eval(self):
 
         assertDataFrameEqual(TestUDTF(), [Row()])
 
-    def _check_result_or_exception(self, func_handler, ret_type, expected):
+    def _check_result_or_exception(
+        self, func_handler, ret_type, expected, *, err_type=PythonException
+    ):
         func = udtf(func_handler, returnType=ret_type)
         if not isinstance(expected, str):
             assertDataFrameEqual(func(), expected)
         else:
-            with self.assertRaisesRegex(PythonException, expected):
+            with self.assertRaisesRegex(err_type, expected):
                 func().collect()
 
     def test_numeric_output_type_casting(self):
@@ -655,20 +658,129 @@ def eval(self):
     def test_array_output_type_casting(self):
         class TestUDTF:
             def eval(self):
-                yield [1, 2],
+                yield [0, 1.1, 2],
 
         for ret_type, expected in [
+            ("x: boolean", [Row(x=None)]),
+            ("x: tinyint", [Row(x=None)]),
+            ("x: smallint", [Row(x=None)]),
             ("x: int", [Row(x=None)]),
-            ("x: array<int>", [Row(x=[1, 2])]),
-            ("x: array<double>", [Row(x=[None, None])]),
-            ("x: array<string>", [Row(x=["1", "2"])]),
-            ("x: array<boolean>", [Row(x=[None, None])]),
-            ("x: array<array<int>>", [Row(x=[None, None])]),
+            ("x: bigint", [Row(x=None)]),
+            ("x: string", [Row(x="[0, 1.1, 2]")]),
+            ("x: date", "AttributeError"),
+            ("x: timestamp", "AttributeError"),
+            ("x: byte", [Row(x=None)]),
+            ("x: binary", [Row(x=None)]),
+            ("x: float", [Row(x=None)]),
+            ("x: double", [Row(x=None)]),
+            ("x: decimal(10, 0)", [Row(x=None)]),
+            ("x: array<int>", [Row(x=[0, None, 2])]),
+            ("x: array<double>", [Row(x=[None, 1.1, None])]),
+            ("x: array<string>", [Row(x=["0", "1.1", "2"])]),
+            ("x: array<boolean>", [Row(x=[None, None, None])]),
+            ("x: array<array<int>>", [Row(x=[None, None, None])]),
             ("x: map<string,int>", [Row(x=None)]),
+            ("x: struct<a:int,b:int,c:int>", [Row(x=Row(a=0, b=None, c=2))]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_map_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield {"a": 0, "b": 1.1, "c": 2},
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=None)]),
+            ("x: tinyint", [Row(x=None)]),
+            ("x: smallint", [Row(x=None)]),
+            ("x: int", [Row(x=None)]),
+            ("x: bigint", [Row(x=None)]),
+            ("x: string", [Row(x="{a=0, b=1.1, c=2}")]),
+            ("x: date", "AttributeError"),
+            ("x: timestamp", "AttributeError"),
+            ("x: byte", [Row(x=None)]),
+            ("x: binary", [Row(x=None)]),
+            ("x: float", [Row(x=None)]),
+            ("x: double", [Row(x=None)]),
+            ("x: decimal(10, 0)", [Row(x=None)]),
+            ("x: array<string>", [Row(x=None)]),
+            ("x: map<string,string>", [Row(x={"a": "0", "b": "1.1", "c": "2"})]),
+            ("x: map<string,boolean>", [Row(x={"a": None, "b": None, "c": None})]),
+            ("x: map<string,int>", [Row(x={"a": 0, "b": None, "c": 2})]),
+            ("x: map<string,float>", [Row(x={"a": None, "b": 1.1, "c": None})]),
+            ("x: map<string,map<string,int>>", [Row(x={"a": None, "b": None, "c": None})]),
+            ("x: struct<a:int>", [Row(x=Row(a=0))]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_struct_output_type_casting_dict(self):
+        class TestUDTF:
+            def eval(self):
+                yield {"a": 0, "b": 1.1, "c": 2},
+
+        for ret_type, expected in [
+            ("x: boolean", [Row(x=None)]),
+            ("x: tinyint", [Row(x=None)]),
+            ("x: smallint", [Row(x=None)]),
+            ("x: int", [Row(x=None)]),
+            ("x: bigint", [Row(x=None)]),
+            ("x: string", [Row(x="{a=0, b=1.1, c=2}")]),
+            ("x: date", "AttributeError"),
+            ("x: timestamp", "AttributeError"),
+            ("x: byte", [Row(x=None)]),
+            ("x: binary", [Row(x=None)]),
+            ("x: float", [Row(x=None)]),
+            ("x: double", [Row(x=None)]),
+            ("x: decimal(10, 0)", [Row(x=None)]),
+            ("x: array<string>", [Row(x=None)]),
+            ("x: map<string,string>", [Row(x={"a": "0", "b": "1.1", "c": "2"})]),
+            ("x: struct<a:string,b:string,c:string>", [Row(Row(a="0", b="1.1", c="2"))]),
+            ("x: struct<a:int,b:int,c:int>", [Row(Row(a=0, b=None, c=2))]),
+            ("x: struct<a:float,b:float,c:float>", [Row(Row(a=None, b=1.1, c=None))]),
         ]:
             with self.subTest(ret_type=ret_type):
                 self._check_result_or_exception(TestUDTF, ret_type, expected)
 
+    def test_struct_output_type_casting_row(self):
+        self.check_struct_output_type_casting_row(Py4JJavaError)
+
+    def check_struct_output_type_casting_row(self, error_type):
+        class TestUDTF:
+            def eval(self):
+                yield Row(a=0, b=1.1, c=2),
+
+        err = ("PickleException", error_type)
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", err),
+            ("x: date", "ValueError"),
+            ("x: timestamp", "ValueError"),
+            ("x: byte", err),
+            ("x: binary", err),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", err),
+            ("x: map<string,string>", err),
+            ("x: struct<a:string,b:string,c:string>", [Row(Row(a="0", b="1.1", c="2"))]),
+            ("x: struct<a:int,b:int,c:int>", [Row(Row(a=0, b=None, c=2))]),
+            ("x: struct<a:float,b:float,c:float>", [Row(Row(a=None, b=1.1, c=None))]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                if isinstance(expected, tuple):
+                    self._check_result_or_exception(
+                        TestUDTF, ret_type, expected[0], err_type=expected[1]
+                    )
+                else:
+                    self._check_result_or_exception(TestUDTF, ret_type, expected)
+
     def test_inconsistent_output_types(self):
         class TestUDTF:
             def eval(self):
@@ -1084,9 +1196,8 @@ def eval(self):
             ("x: double", [Row(x=1.0)]),
             ("x: decimal(10, 0)", err),
             ("x: array<int>", err),
-            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
-            # ("x: map<string,int>", None),
-            # ("x: struct<a:int>", None)
+            ("x: map<string,int>", err),
+            ("x: struct<a:int>", err),
         ]:
             with self.subTest(ret_type=ret_type):
                 self._check_result_or_exception(TestUDTF, ret_type, expected)
@@ -1113,10 +1224,9 @@ def eval(self):
             ("x: double", [Row(x=1.0)]),
             ("x: decimal(10, 0)", [Row(x=1)]),
             ("x: array<string>", [Row(x=["1"])]),
-            ("x: array<int>", err),
-            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
-            # ("x: map<string,int>", None),
-            # ("x: struct<a:int>", None)
+            ("x: array<int>", [Row(x=[1])]),
+            ("x: map<string,int>", err),
+            ("x: struct<a:int>", err),
         ]:
             with self.subTest(ret_type=ret_type):
                 self._check_result_or_exception(TestUDTF, ret_type, expected)
@@ -1144,9 +1254,8 @@ def eval(self):
             ("x: decimal(10, 0)", err),
             ("x: array<string>", [Row(x=["h", "e", "l", "l", "o"])]),
             ("x: array<int>", err),
-            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
-            # ("x: map<string,int>", None),
-            # ("x: struct<a:int>", None)
+            ("x: map<string,int>", err),
+            ("x: struct<a:int>", err),
         ]:
             with self.subTest(ret_type=ret_type):
                 self._check_result_or_exception(TestUDTF, ret_type, expected)
@@ -1177,9 +1286,103 @@ def eval(self):
             ("x: array<int>", [Row(x=[0, 1, 2])]),
             ("x: array<float>", [Row(x=[0, 1.1, 2])]),
             ("x: array<array<int>>", err),
-            # TODO(SPARK-44561): fix AssertionError in convert_map and convert_struct
-            # ("x: map<string,int>", None),
-            # ("x: struct<a:int>", None)
+            ("x: map<string,int>", err),
+            ("x: struct<a:int>", err),
+            ("x: struct<a:int,b:int,c:int>", err),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_map_output_type_casting(self):
+        class TestUDTF:
+            def eval(self):
+                yield {"a": 0, "b": 1.1, "c": 2},
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", err),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", err),
+            ("x: binary", err),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", [Row(x=["a", "b", "c"])]),
+            ("x: map<string,string>", err),
+            ("x: map<string,boolean>", err),
+            ("x: map<string,int>", [Row(x={"a": 0, "b": 1, "c": 2})]),
+            ("x: map<string,float>", [Row(x={"a": 0, "b": 1.1, "c": 2})]),
+            ("x: map<string,map<string,int>>", err),
+            ("x: struct<a:int>", [Row(x=Row(a=0))]),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_struct_output_type_casting_dict(self):
+        class TestUDTF:
+            def eval(self):
+                yield {"a": 0, "b": 1.1, "c": 2},
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", err),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", err),
+            ("x: binary", err),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", [Row(x=["a", "b", "c"])]),
+            ("x: map<string,string>", err),
+            ("x: struct<a:string,b:string,c:string>", [Row(Row(a="0", b="1.1", c="2"))]),
+            ("x: struct<a:int,b:int,c:int>", [Row(Row(a=0, b=1, c=2))]),
+            ("x: struct<a:float,b:float,c:float>", [Row(Row(a=0, b=1.1, c=2))]),
+            ("x: struct<a:struct<>,b:struct<>,c:struct<>>", err),
+        ]:
+            with self.subTest(ret_type=ret_type):
+                self._check_result_or_exception(TestUDTF, ret_type, expected)
+
+    def test_struct_output_type_casting_row(self):
+        class TestUDTF:
+            def eval(self):
+                yield Row(a=0, b=1.1, c=2),
+
+        err = "UDTF_ARROW_TYPE_CAST_ERROR"
+
+        for ret_type, expected in [
+            ("x: boolean", err),
+            ("x: tinyint", err),
+            ("x: smallint", err),
+            ("x: int", err),
+            ("x: bigint", err),
+            ("x: string", err),
+            ("x: date", err),
+            ("x: timestamp", err),
+            ("x: byte", err),
+            ("x: binary", err),
+            ("x: float", err),
+            ("x: double", err),
+            ("x: decimal(10, 0)", err),
+            ("x: array<string>", [Row(x=["0", "1.1", "2"])]),
+            ("x: map<string,string>", err),
+            ("x: struct<a:string,b:string,c:string>", [Row(Row(a="0", b="1.1", c="2"))]),
+            ("x: struct<a:int,b:int,c:int>", [Row(Row(a=0, b=1, c=2))]),
+            ("x: struct<a:float,b:float,c:float>", [Row(Row(a=0, b=1.1, c=2))]),
+            ("x: struct<a:struct<>,b:struct<>,c:struct<>>", err),
         ]:
             with self.subTest(ret_type=ret_type):
                 self._check_result_or_exception(TestUDTF, ret_type, expected)

From 3b24f65fd5a97cb58d87ec0d1d798df59d946fbd Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Tue, 8 Aug 2023 06:33:48 +0900
Subject: [PATCH 177/986] [SPARK-44575][SQL][CONNECT] Implement basic error
 translation

### What changes were proposed in this pull request?

- Implement basic error translation for spark connect scala client.

### Why are the changes needed?

- Better compatibility with the existing control flow

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

`build/sbt "connect-client-jvm/testOnly *Suite"`

Closes #42266 from heyihong/SPARK-44575.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 42e5daddf3ba16ff7d08e82e51cd8924cc56e180)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../client/GrpcExceptionConverter.scala       | 54 ++++++++++++++++---
 .../org/apache/spark/sql/CatalogSuite.scala   |  6 +--
 .../apache/spark/sql/ClientE2ETestSuite.scala | 12 +++--
 .../spark/sql/DataFrameNaFunctionSuite.scala  |  3 +-
 .../KeyValueGroupedDatasetE2ETestSuite.scala  |  3 +-
 5 files changed, 60 insertions(+), 18 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index 7ff3421a5a045..64d1e5c488ab4 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -16,18 +16,26 @@
  */
 package org.apache.spark.sql.connect.client
 
+import scala.jdk.CollectionConverters._
+import scala.reflect.ClassTag
+
+import com.google.rpc.ErrorInfo
 import io.grpc.StatusRuntimeException
 import io.grpc.protobuf.StatusProto
 
-import org.apache.spark.{SparkException, SparkThrowable}
+import org.apache.spark.SparkException
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.parser.ParseException
+import org.apache.spark.sql.catalyst.trees.Origin
+import org.apache.spark.util.JsonUtils
 
-private[client] object GrpcExceptionConverter {
+private[client] object GrpcExceptionConverter extends JsonUtils {
   def convert[T](f: => T): T = {
     try {
       f
     } catch {
       case e: StatusRuntimeException =>
-        throw toSparkThrowable(e)
+        throw toThrowable(e)
     }
   }
 
@@ -53,11 +61,41 @@ private[client] object GrpcExceptionConverter {
     }
   }
 
-  private def toSparkThrowable(ex: StatusRuntimeException): SparkThrowable with Throwable = {
-    val status = StatusProto.fromThrowable(ex)
-    // TODO: Add finer grained error conversion
-    new SparkException(status.getMessage, ex.getCause)
+  private def errorConstructor[T <: Throwable: ClassTag](
+      throwableCtr: (String, Throwable) => T): (String, (String, Throwable) => Throwable) = {
+    val className = implicitly[reflect.ClassTag[T]].runtimeClass.getName
+    (className, throwableCtr)
   }
-}
 
+  private val errorFactory = Map(
+    errorConstructor((message, _) => new ParseException(None, message, Origin(), Origin())),
+    errorConstructor((message, cause) => new AnalysisException(message, cause = Option(cause))))
+
+  private def errorInfoToThrowable(info: ErrorInfo, message: String): Option[Throwable] = {
+    val classes =
+      mapper.readValue(info.getMetadataOrDefault("classes", "[]"), classOf[Array[String]])
 
+    classes
+      .find(errorFactory.contains)
+      .map { cls =>
+        val constructor = errorFactory.get(cls).get
+        constructor(message, null)
+      }
+  }
+
+  private def toThrowable(ex: StatusRuntimeException): Throwable = {
+    val status = StatusProto.fromThrowable(ex)
+
+    val fallbackEx = new SparkException(status.getMessage, ex.getCause)
+
+    val errorInfoOpt = status.getDetailsList.asScala
+      .find(_.is(classOf[ErrorInfo]))
+
+    if (errorInfoOpt.isEmpty) {
+      return fallbackEx
+    }
+
+    errorInfoToThrowable(errorInfoOpt.get.unpack(classOf[ErrorInfo]), status.getMessage)
+      .getOrElse(fallbackEx)
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
index 00a6bcc9b5c45..fa97498f7e77a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
@@ -46,7 +46,7 @@ class CatalogSuite extends RemoteSparkSession with SQLHelper {
         assert(databasesWithPattern.length == 0)
         val database = spark.catalog.getDatabase(db)
         assert(database.name == db)
-        val message = intercept[SparkException] {
+        val message = intercept[AnalysisException] {
           spark.catalog.getDatabase("notExists")
         }.getMessage
         assert(message.contains("SCHEMA_NOT_FOUND"))
@@ -141,7 +141,7 @@ class CatalogSuite extends RemoteSparkSession with SQLHelper {
         assert(spark.catalog.listTables().collect().map(_.name).toSet == Set(parquetTableName))
       }
     }
-    val message = intercept[SparkException] {
+    val message = intercept[AnalysisException] {
       spark.catalog.getTable(parquetTableName)
     }.getMessage
     assert(message.contains("TABLE_OR_VIEW_NOT_FOUND"))
@@ -207,7 +207,7 @@ class CatalogSuite extends RemoteSparkSession with SQLHelper {
     assert(spark.catalog.getFunction(absFunctionName).name == absFunctionName)
     val notExistsFunction = "notExists"
     assert(!spark.catalog.functionExists(notExistsFunction))
-    val message = intercept[SparkException] {
+    val message = intercept[AnalysisException] {
       spark.catalog.getFunction(notExistsFunction)
     }.getMessage
     assert(message.contains("UNRESOLVED_ROUTINE"))
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 98fbff84ba674..ebd3d037bba5c 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -43,6 +43,12 @@ import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
+  test("throw ParseException") {
+    intercept[ParseException] {
+      spark.sql("selet 1").collect()
+    }
+  }
+
   test("spark deep recursion") {
     var df = spark.range(1)
     for (a <- 1 to 500) {
@@ -88,7 +94,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     assume(IntegrationTestUtils.isSparkHiveJarAvailable)
     withTable("test_martin") {
       // Fails, because table does not exist.
-      assertThrows[SparkException] {
+      assertThrows[AnalysisException] {
         spark.sql("select * from test_martin").collect()
       }
       // Execute eager, DML
@@ -177,7 +183,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
             StructField("job", StringType) :: Nil))
       .csv(testDataPath.toString)
     // Failed because the path cannot be provided both via option and load method (csv).
-    assertThrows[SparkException] {
+    assertThrows[AnalysisException] {
       df.collect()
     }
   }
@@ -381,7 +387,7 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     val df = spark.range(10)
     val outputFolderPath = Files.createTempDirectory("output").toAbsolutePath
     // Failed because the path cannot be provided both via option and save method.
-    assertThrows[SparkException] {
+    assertThrows[AnalysisException] {
       df.write.option("path", outputFolderPath.toString).save(outputFolderPath.toString)
     }
   }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
index 525a5902525ad..ac64d4411a866 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
@@ -19,7 +19,6 @@ package org.apache.spark.sql
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.SparkException
 import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.internal.SqlApiConf
 import org.apache.spark.sql.types.{StringType, StructType}
@@ -279,7 +278,7 @@ class DataFrameNaFunctionSuite extends QueryTest with SQLHelper {
 
   test("drop with col(*)") {
     val df = createDF()
-    val ex = intercept[SparkException] {
+    val ex = intercept[AnalysisException] {
       df.na.drop("any", Seq("*")).collect()
     }
     assert(ex.getMessage.contains("UNRESOLVED_COLUMN.WITH_SUGGESTION"))
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
index ad75887a7e2db..380ca2fb72b31 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
@@ -19,7 +19,6 @@ package org.apache.spark.sql
 import java.sql.Timestamp
 import java.util.Arrays
 
-import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Append
 import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.functions._
@@ -179,7 +178,7 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
     assert(values == Arrays.asList[String]("0", "8,6,4,2,0", "1", "9,7,5,3,1"))
 
     // Star is not allowed as group sort column
-    val message = intercept[SparkException] {
+    val message = intercept[AnalysisException] {
       grouped
         .flatMapSortedGroups(col("*")) { (g, iter) =>
           Iterator(String.valueOf(g), iter.mkString(","))

From d8f02274c38c027e2d56f5158ce63f6e74255d2d Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 8 Aug 2023 00:42:13 +0200
Subject: [PATCH 178/986] [SPARK-44692][CONNECT][SQL] Move Trigger(s) to
 sql/api

This PR moves `Triggers.scala` and `Trigger.scala` from `sql/core` to `sql/api`, and it removes the duplicates from the connect scala client.

Not really needed, just some deduplication.

No.

Existing tests.

Closes #42368 from hvanhovell/SPARK-44692.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 4eea89d339649152a1afcd8b7a32020454e71d42)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../apache/spark/sql/streaming/Trigger.java   | 180 ------------------
 dev/checkstyle-suppressions.xml               |   4 +-
 project/MimaExcludes.scala                    |   4 +-
 .../apache/spark/sql/streaming/Trigger.java   |   0
 .../sql/execution/streaming/Triggers.scala    |   6 +-
 .../sql/execution/streaming/Triggers.scala    | 113 -----------
 6 files changed, 6 insertions(+), 301 deletions(-)
 delete mode 100644 connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/streaming/Trigger.java (100%)
 rename {connector/connect/client/jvm => sql/api}/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala (96%)
 delete mode 100644 sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala

diff --git a/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java b/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java
deleted file mode 100644
index 27ffe67d9909c..0000000000000
--- a/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java
+++ /dev/null
@@ -1,180 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.streaming;
-
-import java.util.concurrent.TimeUnit;
-
-import scala.concurrent.duration.Duration;
-
-import org.apache.spark.annotation.Evolving;
-import org.apache.spark.sql.execution.streaming.AvailableNowTrigger$;
-import org.apache.spark.sql.execution.streaming.ContinuousTrigger;
-import org.apache.spark.sql.execution.streaming.OneTimeTrigger$;
-import org.apache.spark.sql.execution.streaming.ProcessingTimeTrigger;
-
-/**
- * Policy used to indicate how often results should be produced by a [[StreamingQuery]].
- *
- * @since 3.5.0
- */
-@Evolving
-public class Trigger {
-  // This is a copy of the same class in sql/core/.../streaming/Trigger.java
-
-  /**
-   * A trigger policy that runs a query periodically based on an interval in processing time.
-   * If `interval` is 0, the query will run as fast as possible.
-   *
-   * @since 3.5.0
-   */
-  public static Trigger ProcessingTime(long intervalMs) {
-      return ProcessingTimeTrigger.create(intervalMs, TimeUnit.MILLISECONDS);
-  }
-
-  /**
-   * (Java-friendly)
-   * A trigger policy that runs a query periodically based on an interval in processing time.
-   * If `interval` is 0, the query will run as fast as possible.
-   *
-   * {{{
-   *    import java.util.concurrent.TimeUnit
-   *    df.writeStream().trigger(Trigger.ProcessingTime(10, TimeUnit.SECONDS))
-   * }}}
-   *
-   * @since 3.5.0
-   */
-  public static Trigger ProcessingTime(long interval, TimeUnit timeUnit) {
-      return ProcessingTimeTrigger.create(interval, timeUnit);
-  }
-
-  /**
-   * (Scala-friendly)
-   * A trigger policy that runs a query periodically based on an interval in processing time.
-   * If `duration` is 0, the query will run as fast as possible.
-   *
-   * {{{
-   *    import scala.concurrent.duration._
-   *    df.writeStream.trigger(Trigger.ProcessingTime(10.seconds))
-   * }}}
-   * @since 3.5.0
-   */
-  public static Trigger ProcessingTime(Duration interval) {
-      return ProcessingTimeTrigger.apply(interval);
-  }
-
-  /**
-   * A trigger policy that runs a query periodically based on an interval in processing time.
-   * If `interval` is effectively 0, the query will run as fast as possible.
-   *
-   * {{{
-   *    df.writeStream.trigger(Trigger.ProcessingTime("10 seconds"))
-   * }}}
-   * @since 3.5.0
-   */
-  public static Trigger ProcessingTime(String interval) {
-      return ProcessingTimeTrigger.apply(interval);
-  }
-
-  /**
-   * A trigger that processes all available data in a single batch then terminates the query.
-   *
-   * @since 3.5.0
-   * @deprecated This is deprecated as of Spark 3.4.0. Use {@link #AvailableNow()} to leverage
-   *             better guarantee of processing, fine-grained scale of batches, and better gradual
-   *             processing of watermark advancement including no-data batch.
-   *             See the NOTES in {@link #AvailableNow()} for details.
-   */
-  @Deprecated
-  public static Trigger Once() {
-    return OneTimeTrigger$.MODULE$;
-  }
-
-  /**
-   * A trigger that processes all available data at the start of the query in one or multiple
-   * batches, then terminates the query.
-   *
-   * Users are encouraged to set the source options to control the size of the batch as similar as
-   * controlling the size of the batch in {@link #ProcessingTime(long)} trigger.
-   *
-   * NOTES:
-   * - This trigger provides a strong guarantee of processing: regardless of how many batches were
-   *   left over in previous run, it ensures all available data at the time of execution gets
-   *   processed before termination. All uncommitted batches will be processed first.
-   * - Watermark gets advanced per each batch, and no-data batch gets executed before termination
-   *   if the last batch advances the watermark. This helps to maintain smaller and predictable
-   *   state size and smaller latency on the output of stateful operators.
-   *
-   * @since 3.5.0
-   */
-  public static Trigger AvailableNow() {
-    return AvailableNowTrigger$.MODULE$;
-  }
-
-  /**
-   * A trigger that continuously processes streaming data, asynchronously checkpointing at
-   * the specified interval.
-   *
-   * @since 3.5.0
-   */
-  public static Trigger Continuous(long intervalMs) {
-    return ContinuousTrigger.apply(intervalMs);
-  }
-
-  /**
-   * A trigger that continuously processes streaming data, asynchronously checkpointing at
-   * the specified interval.
-   *
-   * {{{
-   *    import java.util.concurrent.TimeUnit
-   *    df.writeStream.trigger(Trigger.Continuous(10, TimeUnit.SECONDS))
-   * }}}
-   *
-   * @since 3.5.0
-   */
-  public static Trigger Continuous(long interval, TimeUnit timeUnit) {
-    return ContinuousTrigger.create(interval, timeUnit);
-  }
-
-  /**
-   * (Scala-friendly)
-   * A trigger that continuously processes streaming data, asynchronously checkpointing at
-   * the specified interval.
-   *
-   * {{{
-   *    import scala.concurrent.duration._
-   *    df.writeStream.trigger(Trigger.Continuous(10.seconds))
-   * }}}
-   * @since 3.5.0
-   */
-  public static Trigger Continuous(Duration interval) {
-    return ContinuousTrigger.apply(interval);
-  }
-
-  /**
-   * A trigger that continuously processes streaming data, asynchronously checkpointing at
-   * the specified interval.
-   *
-   * {{{
-   *    df.writeStream.trigger(Trigger.Continuous("10 seconds"))
-   * }}}
-   * @since 3.5.0
-   */
-  public static Trigger Continuous(String interval) {
-    return ContinuousTrigger.apply(interval);
-  }
-}
diff --git a/dev/checkstyle-suppressions.xml b/dev/checkstyle-suppressions.xml
index 44876fe69120d..8ba1ff1b3b1eb 100644
--- a/dev/checkstyle-suppressions.xml
+++ b/dev/checkstyle-suppressions.xml
@@ -57,9 +57,7 @@
     <suppress checks="MethodName"
               files="sql/api/src/main/java/org/apache/spark/sql/streaming/GroupStateTimeout.java"/>
     <suppress checks="MethodName"
-              files="sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
-    <suppress checks="MethodName"
-              files="connector/connect/client/jvm/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
+              files="sql/api/src/main/java/org/apache/spark/sql/streaming/Trigger.java"/>
     <suppress checks="LineLength"
               files="src/main/java/org/apache/spark/sql/api/java/*"/>
 </suppressions>
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index c2ccb680cbdbd..3848caacbd2f5 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -71,7 +71,9 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.RowFactory"),
     // [SPARK-44535][CONNECT][SQL] Move required Streaming API to sql/api
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupStateTimeout"),
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode")
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode"),
+    // [SPARK-44692][CONNECT][SQL] Move Trigger(s) to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.Trigger")
   )
 
   // Default exclude rules
diff --git a/sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java b/sql/api/src/main/java/org/apache/spark/sql/streaming/Trigger.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java
rename to sql/api/src/main/java/org/apache/spark/sql/streaming/Trigger.java
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala b/sql/api/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
similarity index 96%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
index ad19ad1780549..37c5b314978bb 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
@@ -28,8 +28,6 @@ import org.apache.spark.sql.streaming.Trigger
 import org.apache.spark.unsafe.types.UTF8String
 
 private object Triggers {
-  // This is a copy of the same class in sql/core/...execution/streaming/Triggers.scala
-
   def validate(intervalMs: Long): Unit = {
     require(intervalMs >= 0, "the interval of trigger should not be negative")
   }
@@ -87,8 +85,8 @@ object ProcessingTimeTrigger {
 }
 
 /**
- * A [[Trigger]] that continuously processes streaming data, asynchronously checkpointing at the
- * specified interval.
+ * A [[Trigger]] that continuously processes streaming data, asynchronously checkpointing at
+ * the specified interval.
  */
 case class ContinuousTrigger(intervalMs: Long) extends Trigger {
   Triggers.validate(intervalMs)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
deleted file mode 100644
index e6d1381b2b620..0000000000000
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala
+++ /dev/null
@@ -1,113 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.execution.streaming
-
-import java.util.concurrent.TimeUnit
-
-import scala.concurrent.duration.Duration
-
-import org.apache.spark.sql.catalyst.util.DateTimeConstants.MICROS_PER_DAY
-import org.apache.spark.sql.catalyst.util.DateTimeUtils.microsToMillis
-import org.apache.spark.sql.catalyst.util.IntervalUtils
-import org.apache.spark.sql.streaming.Trigger
-import org.apache.spark.unsafe.types.UTF8String
-
-private object Triggers {
-  def validate(intervalMs: Long): Unit = {
-    require(intervalMs >= 0, "the interval of trigger should not be negative")
-  }
-
-  def convert(interval: String): Long = {
-    val cal = IntervalUtils.stringToInterval(UTF8String.fromString(interval))
-    if (cal.months != 0) {
-      throw new IllegalArgumentException(s"Doesn't support month or year interval: $interval")
-    }
-    val microsInDays = Math.multiplyExact(cal.days, MICROS_PER_DAY)
-    microsToMillis(Math.addExact(cal.microseconds, microsInDays))
-  }
-
-  def convert(interval: Duration): Long = interval.toMillis
-
-  def convert(interval: Long, unit: TimeUnit): Long = unit.toMillis(interval)
-}
-
-/**
- * A [[Trigger]] that processes all available data in one batch then terminates the query.
- */
-case object OneTimeTrigger extends Trigger
-
-/**
- * A [[Trigger]] that processes all available data in multiple batches then terminates the query.
- */
-case object AvailableNowTrigger extends Trigger
-
-/**
- * A [[Trigger]] that runs a query periodically based on the processing time. If `interval` is 0,
- * the query will run as fast as possible.
- */
-case class ProcessingTimeTrigger(intervalMs: Long) extends Trigger {
-  Triggers.validate(intervalMs)
-}
-
-object ProcessingTimeTrigger {
-  import Triggers._
-
-  def apply(interval: String): ProcessingTimeTrigger = {
-    ProcessingTimeTrigger(convert(interval))
-  }
-
-  def apply(interval: Duration): ProcessingTimeTrigger = {
-    ProcessingTimeTrigger(convert(interval))
-  }
-
-  def create(interval: String): ProcessingTimeTrigger = {
-    apply(interval)
-  }
-
-  def create(interval: Long, unit: TimeUnit): ProcessingTimeTrigger = {
-    ProcessingTimeTrigger(convert(interval, unit))
-  }
-}
-
-/**
- * A [[Trigger]] that continuously processes streaming data, asynchronously checkpointing at
- * the specified interval.
- */
-case class ContinuousTrigger(intervalMs: Long) extends Trigger {
-  Triggers.validate(intervalMs)
-}
-
-object ContinuousTrigger {
-  import Triggers._
-
-  def apply(interval: String): ContinuousTrigger = {
-    ContinuousTrigger(convert(interval))
-  }
-
-  def apply(interval: Duration): ContinuousTrigger = {
-    ContinuousTrigger(convert(interval))
-  }
-
-  def create(interval: String): ContinuousTrigger = {
-    apply(interval)
-  }
-
-  def create(interval: Long, unit: TimeUnit): ContinuousTrigger = {
-    ContinuousTrigger(convert(interval, unit))
-  }
-}

From 4f869ce6f67c4bb2444c351632adaf9c78c5ec1b Mon Sep 17 00:00:00 2001
From: Steven Aerts <steven.aerts@gmail.com>
Date: Tue, 8 Aug 2023 08:09:05 +0900
Subject: [PATCH 179/986] [SPARK-44132][SQL] Materialize `Stream` of join
 column names to avoid codegen failure

### What changes were proposed in this pull request?

Materialize passed join columns as an `IndexedSeq` before passing it to the lower layers.

### Why are the changes needed?

When nesting multiple full outer joins using column names which are a `Stream`, the code generator will generate faulty code resulting in a NPE or bad `UnsafeRow` access at runtime. See the 2 added test cases.

### Why are the changes needed?
Otherwise the code will crash, see the 2 added test cases.  Which show an NPE and a bad `UnsafeRow` access.

### Does this PR introduce _any_ user-facing change?
No, only bug fix.

### How was this patch tested?
A reproduction scenario was created and added to the code base.

Closes #41712 from steven-aerts/SPARK-44132-fix.

Authored-by: Steven Aerts <steven.aerts@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 8911578020f8a2428b12dd72cb0ed4b7d747d835)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../scala/org/apache/spark/sql/Dataset.scala  |  2 +-
 .../execution/joins/JoinCodegenSupport.scala  |  2 +-
 .../org/apache/spark/sql/JoinSuite.scala      | 20 +++++++++++++++++++
 3 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index 61c83829d2012..eda017937d918 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -1092,7 +1092,7 @@ class Dataset[T] private[sql](
       Join(
         joined.left,
         joined.right,
-        UsingJoin(JoinType(joinType), usingColumns),
+        UsingJoin(JoinType(joinType), usingColumns.toIndexedSeq),
         None,
         JoinHint.NONE)
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/JoinCodegenSupport.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/JoinCodegenSupport.scala
index a7d1edefcd611..6496f9a0006e2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/JoinCodegenSupport.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/JoinCodegenSupport.scala
@@ -79,7 +79,7 @@ trait JoinCodegenSupport extends CodegenSupport with BaseJoinExec {
       setDefaultValue: Boolean): Seq[ExprCode] = {
     ctx.currentVars = null
     ctx.INPUT_ROW = row
-    plan.output.zipWithIndex.map { case (a, i) =>
+    plan.output.toIndexedSeq.zipWithIndex.map { case (a, i) =>
       val ev = BoundReference(i, a.dataType, a.nullable).genCode(ctx)
       if (setDefaultValue) {
         // the variables are needed even there is no matched rows
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
index 7f358723eeb8f..14f1fb27906a1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
@@ -1709,4 +1709,24 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
       checkAnswer(sql(query), expected)
     }
   }
+
+  test("SPARK-44132: FULL OUTER JOIN by streamed column name fails with NPE") {
+    val dsA = Seq((1, "a")).toDF("id", "c1")
+    val dsB = Seq((2, "b")).toDF("id", "c2")
+    val dsC = Seq((3, "c")).toDF("id", "c3")
+    val joined = dsA.join(dsB, Stream("id"), "full_outer").join(dsC, Stream("id"), "full_outer")
+
+    val expected = Seq(Row(1, "a", null, null), Row(2, null, "b", null), Row(3, null, null, "c"))
+
+    checkAnswer(joined, expected)
+  }
+
+  test("SPARK-44132: FULL OUTER JOIN by streamed column name fails with invalid access") {
+    val ds = Seq((1, "a")).toDF("id", "c1")
+    val joined = ds.join(ds, Stream("id"), "full_outer").join(ds, Stream("id"), "full_outer")
+
+    val expected = Seq(Row(1, "a", "a", "a"))
+
+    checkAnswer(joined, expected)
+  }
 }

From df02aa29ddc9b03e4386128f26bfc98b869485e5 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 8 Aug 2023 08:10:09 +0900
Subject: [PATCH 180/986] [MINOR][UI] Increasing the number of significant
 digits for Fraction Cached of RDD

### What changes were proposed in this pull request?

This PR is a typo improvement for increasing the number of significant digits for Fraction Cached of RDD that shows on the Storage Tab.

### Why are the changes needed?

improves accuracy and precision

![image](https://github.com/apache/spark/assets/8326978/7106352c-b806-4953-8938-c4cba8ea1191)

### Does this PR introduce _any_ user-facing change?

Yes, the Fraction Cached on Storage Page increases the fractional length from 0 to 2

### How was this patch tested?

locally verified

Closes #42373 from yaooqinn/uiminor.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f47a2560e6e39ba8eac51a76290614b2fba4d65a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/ui/storage/StoragePage.scala |  2 +-
 .../spark/ui/storage/StoragePageSuite.scala       | 15 ++++++++-------
 2 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/ui/storage/StoragePage.scala b/core/src/main/scala/org/apache/spark/ui/storage/StoragePage.scala
index c1708c320c5d4..726622673650d 100644
--- a/core/src/main/scala/org/apache/spark/ui/storage/StoragePage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/storage/StoragePage.scala
@@ -98,7 +98,7 @@ private[ui] class StoragePage(parent: SparkUITab, store: AppStatusStore) extends
       <td>{rdd.storageLevel}
       </td>
       <td>{rdd.numCachedPartitions.toString}</td>
-      <td>{"%.0f%%".format(rdd.numCachedPartitions * 100.0 / rdd.numPartitions)}</td>
+      <td>{"%.2f%%".format(rdd.numCachedPartitions * 100.0 / rdd.numPartitions)}</td>
       <td sorttable_customkey={rdd.memoryUsed.toString}>{Utils.bytesToString(rdd.memoryUsed)}</td>
       <td sorttable_customkey={rdd.diskUsed.toString} >{Utils.bytesToString(rdd.diskUsed)}</td>
     </tr>
diff --git a/core/src/test/scala/org/apache/spark/ui/storage/StoragePageSuite.scala b/core/src/test/scala/org/apache/spark/ui/storage/StoragePageSuite.scala
index 718c6856cb31f..d1e25bf8a2346 100644
--- a/core/src/test/scala/org/apache/spark/ui/storage/StoragePageSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ui/storage/StoragePageSuite.scala
@@ -48,8 +48,8 @@ class StoragePageSuite extends SparkFunSuite {
 
     val rdd2 = new RDDStorageInfo(2,
       "rdd2",
-      10,
-      5,
+      1000,
+      56,
       StorageLevel.DISK_ONLY.description,
       0L,
       200L,
@@ -58,8 +58,8 @@ class StoragePageSuite extends SparkFunSuite {
 
     val rdd3 = new RDDStorageInfo(3,
       "rdd3",
-      10,
-      10,
+      1000,
+      103,
       StorageLevel.MEMORY_AND_DISK_SER.description,
       400L,
       500L,
@@ -94,19 +94,20 @@ class StoragePageSuite extends SparkFunSuite {
 
     assert((xmlNodes \\ "tr").size === 3)
     assert(((xmlNodes \\ "tr")(0) \\ "td").map(_.text.trim) ===
-      Seq("1", "rdd1", "Memory Deserialized 1x Replicated", "10", "100%", "100.0 B", "0.0 B"))
+      Seq("1", "rdd1", "Memory Deserialized 1x Replicated", "10", "100.00%", "100.0 B", "0.0 B"))
     // Check the url
     assert(((xmlNodes \\ "tr")(0) \\ "td" \ "a")(0).attribute("href").map(_.text) ===
       Some("http://localhost:4040/storage/rdd/?id=1"))
 
     assert(((xmlNodes \\ "tr")(1) \\ "td").map(_.text.trim) ===
-      Seq("2", "rdd2", "Disk Serialized 1x Replicated", "5", "50%", "0.0 B", "200.0 B"))
+      Seq("2", "rdd2", "Disk Serialized 1x Replicated", "56", "5.60%", "0.0 B", "200.0 B"))
     // Check the url
     assert(((xmlNodes \\ "tr")(1) \\ "td" \ "a")(0).attribute("href").map(_.text) ===
       Some("http://localhost:4040/storage/rdd/?id=2"))
 
     assert(((xmlNodes \\ "tr")(2) \\ "td").map(_.text.trim) ===
-      Seq("3", "rdd3", "Disk Memory Serialized 1x Replicated", "10", "100%", "400.0 B", "500.0 B"))
+      Seq("3", "rdd3", "Disk Memory Serialized 1x Replicated", "103", "10.30%", "400.0 B",
+        "500.0 B"))
     // Check the url
     assert(((xmlNodes \\ "tr")(2) \\ "td" \ "a")(0).attribute("href").map(_.text) ===
       Some("http://localhost:4040/storage/rdd/?id=3"))

From 21e7fe81a662eacebcbc1971a3586a6d470376f3 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 8 Aug 2023 11:03:05 +0900
Subject: [PATCH 181/986] [SPARK-44694][PYTHON][CONNECT] Refactor active
 sessions and expose them as an API

This PR proposes to (mostly) refactor all the internal workarounds to get the active session correctly.

There are few things to note:

- _PySpark without Spark Connect does not already support the hierarchy of active sessions_. With pinned thread mode (enabled by default), PySpark does map each Python thread to JVM thread, but the thread creation happens within gateway server, that does not respect the thread hierarchy. Therefore, this PR follows the exactly same behaviour.
  - New thread will not have an active thread by default.
  - Other behaviours are same as PySpark without Connect, see also https://github.com/apache/spark/pull/42367
- Since I am here, I piggiyback few documentation changes. We missed document `SparkSession.readStream`, `SparkSession.streams`, `SparkSession.udtf`, `SparkSession.conf` and `SparkSession.version` in Spark Connect.
- The changes here are mostly refactoring that reuses existing unittests while I expose two methods:
  - `SparkSession.getActiveSession` (only for Spark Connect)
  - `SparkSession.active` (for both in PySpark)

For Spark Connect users to be able to play with active and default sessions in Python.

Yes, it adds new API:
  - `SparkSession.getActiveSession` (only for Spark Connect)
  - `SparkSession.active` (for both in PySpark)

Existing unittests should cover all.

Closes #42371 from HyukjinKwon/SPARK-44694.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9368a0f0c1001fb6fd64799a2e744874b6cd27e4)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../reference/pyspark.sql/spark_session.rst   |   1 +
 python/pyspark/errors/error_classes.py        |   5 +
 python/pyspark/ml/connect/io_utils.py         |   8 +-
 python/pyspark/ml/connect/tuning.py           |  11 +-
 python/pyspark/ml/torch/distributor.py        |   3 +-
 python/pyspark/ml/util.py                     |  13 ---
 python/pyspark/pandas/utils.py                |   7 +-
 python/pyspark/sql/connect/session.py         | 107 ++++++++++++------
 python/pyspark/sql/connect/udf.py             |  25 ++--
 python/pyspark/sql/connect/udtf.py            |  27 +++--
 python/pyspark/sql/session.py                 |  65 +++++++++--
 .../sql/tests/connect/test_connect_basic.py   |   4 +-
 python/pyspark/sql/utils.py                   |  18 +++
 13 files changed, 197 insertions(+), 97 deletions(-)

diff --git a/python/docs/source/reference/pyspark.sql/spark_session.rst b/python/docs/source/reference/pyspark.sql/spark_session.rst
index a5f8bc47d447b..74315a0aacc3b 100644
--- a/python/docs/source/reference/pyspark.sql/spark_session.rst
+++ b/python/docs/source/reference/pyspark.sql/spark_session.rst
@@ -28,6 +28,7 @@ See also :class:`SparkSession`.
 .. autosummary::
     :toctree: api/
 
+    SparkSession.active
     SparkSession.builder.appName
     SparkSession.builder.config
     SparkSession.builder.enableHiveSupport
diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 971dc59bbb291..937a875840478 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -607,6 +607,11 @@
       "Argument `<arg_name>` should be a WindowSpec, got <arg_type>."
     ]
   },
+  "NO_ACTIVE_OR_DEFAULT_SESSION" : {
+    "message" : [
+      "No active or default Spark session found. Please create a new Spark session before running the code."
+    ]
+  },
   "NO_ACTIVE_SESSION" : {
     "message" : [
       "No active Spark session found. Please create a new Spark session before running the code."
diff --git a/python/pyspark/ml/connect/io_utils.py b/python/pyspark/ml/connect/io_utils.py
index 9a963086aaf45..a09a244862c58 100644
--- a/python/pyspark/ml/connect/io_utils.py
+++ b/python/pyspark/ml/connect/io_utils.py
@@ -23,7 +23,7 @@
 from urllib.parse import urlparse
 from typing import Any, Dict, List
 from pyspark.ml.base import Params
-from pyspark.ml.util import _get_active_session
+from pyspark.sql import SparkSession
 from pyspark.sql.utils import is_remote
 
 
@@ -34,7 +34,7 @@
 
 
 def _copy_file_from_local_to_fs(local_path: str, dest_path: str) -> None:
-    session = _get_active_session(is_remote())
+    session = SparkSession.active()
     if is_remote():
         session.copyFromLocalToFs(local_path, dest_path)
     else:
@@ -228,7 +228,7 @@ def save(self, path: str, *, overwrite: bool = False) -> None:
 
         .. versionadded:: 3.5.0
         """
-        session = _get_active_session(is_remote())
+        session = SparkSession.active()
         path_exist = True
         try:
             session.read.format("binaryFile").load(path).head()
@@ -256,7 +256,7 @@ def load(cls, path: str) -> "Params":
 
         .. versionadded:: 3.5.0
         """
-        session = _get_active_session(is_remote())
+        session = SparkSession.active()
 
         tmp_local_dir = tempfile.mkdtemp(prefix="pyspark_ml_model_")
         try:
diff --git a/python/pyspark/ml/connect/tuning.py b/python/pyspark/ml/connect/tuning.py
index 6d539933e1d69..c22c31e84e8de 100644
--- a/python/pyspark/ml/connect/tuning.py
+++ b/python/pyspark/ml/connect/tuning.py
@@ -178,11 +178,12 @@ def _parallelFitTasks(
 
     def get_single_task(index: int, param_map: Any) -> Callable[[], Tuple[int, float]]:
         def single_task() -> Tuple[int, float]:
-            # Active session is thread-local variable, in background thread the active session
-            # is not set, the following line sets it as the main thread active session.
-            active_session._jvm.SparkSession.setActiveSession(  # type: ignore[union-attr]
-                active_session._jsparkSession  # type: ignore[union-attr]
-            )
+            if not is_remote():
+                # Active session is thread-local variable, in background thread the active session
+                # is not set, the following line sets it as the main thread active session.
+                active_session._jvm.SparkSession.setActiveSession(  # type: ignore[union-attr]
+                    active_session._jsparkSession  # type: ignore[union-attr]
+                )
 
             model = estimator.fit(train, param_map)
             metric = evaluator.evaluate(
diff --git a/python/pyspark/ml/torch/distributor.py b/python/pyspark/ml/torch/distributor.py
index 71bcde3b48e45..b407672ac485e 100644
--- a/python/pyspark/ml/torch/distributor.py
+++ b/python/pyspark/ml/torch/distributor.py
@@ -48,7 +48,6 @@
     LogStreamingClient,
     LogStreamingServer,
 )
-from pyspark.ml.util import _get_active_session
 
 
 def _get_resources(session: SparkSession) -> Dict[str, ResourceInformation]:
@@ -164,7 +163,7 @@ def __init__(
         from pyspark.sql.utils import is_remote
 
         self.is_remote = is_remote()
-        self.spark = _get_active_session(self.is_remote)
+        self.spark = SparkSession.active()
 
         # indicate whether the server side is local mode
         self.is_spark_local_master = False
diff --git a/python/pyspark/ml/util.py b/python/pyspark/ml/util.py
index 2c90ff3cb7b69..64676947017d0 100644
--- a/python/pyspark/ml/util.py
+++ b/python/pyspark/ml/util.py
@@ -747,16 +747,3 @@ def wrapped(*args: Any, **kwargs: Any) -> Any:
             return f(*args, **kwargs)
 
     return cast(FuncT, wrapped)
-
-
-def _get_active_session(is_remote: bool) -> SparkSession:
-    if not is_remote:
-        spark = SparkSession.getActiveSession()
-    else:
-        import pyspark.sql.connect.session
-
-        spark = pyspark.sql.connect.session._active_spark_session  # type: ignore[assignment]
-
-    if spark is None:
-        raise RuntimeError("An active SparkSession is required for the distributor.")
-    return spark
diff --git a/python/pyspark/pandas/utils.py b/python/pyspark/pandas/utils.py
index c66b3359e77d1..55b9a57ef6187 100644
--- a/python/pyspark/pandas/utils.py
+++ b/python/pyspark/pandas/utils.py
@@ -478,12 +478,7 @@ def is_testing() -> bool:
 
 
 def default_session() -> SparkSession:
-    if not is_remote():
-        spark = SparkSession.getActiveSession()
-    else:
-        from pyspark.sql.connect.session import _active_spark_session
-
-        spark = _active_spark_session  # type: ignore[assignment]
+    spark = SparkSession.getActiveSession()
     if spark is None:
         spark = SparkSession.builder.appName("pandas-on-Spark").getOrCreate()
 
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 9bba0db05e43f..d75a30c561f93 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -18,6 +18,7 @@
 
 check_dependencies(__name__)
 
+import threading
 import os
 import warnings
 from collections.abc import Sized
@@ -36,6 +37,7 @@
     overload,
     Iterable,
     TYPE_CHECKING,
+    ClassVar,
 )
 
 import numpy as np
@@ -93,14 +95,13 @@
     from pyspark.sql.connect.udtf import UDTFRegistration
 
 
-# `_active_spark_session` stores the active spark connect session created by
-# `SparkSession.builder.getOrCreate`. It is used by ML code.
-#  If sessions are created with `SparkSession.builder.create`, it stores
-#  The last created session
-_active_spark_session = None
-
-
 class SparkSession:
+    # The active SparkSession for the current thread
+    _active_session: ClassVar[threading.local] = threading.local()
+    # Reference to the root SparkSession
+    _default_session: ClassVar[Optional["SparkSession"]] = None
+    _lock: ClassVar[RLock] = RLock()
+
     class Builder:
         """Builder for :class:`SparkSession`."""
 
@@ -176,8 +177,6 @@ def enableHiveSupport(self) -> "SparkSession.Builder":
             )
 
         def create(self) -> "SparkSession":
-            global _active_spark_session
-
             has_channel_builder = self._channel_builder is not None
             has_spark_remote = "spark.remote" in self._options
 
@@ -200,23 +199,26 @@ def create(self) -> "SparkSession":
                 assert spark_remote is not None
                 session = SparkSession(connection=spark_remote)
 
-            _active_spark_session = session
+            SparkSession._set_default_and_active_session(session)
             return session
 
         def getOrCreate(self) -> "SparkSession":
-            global _active_spark_session
-            if _active_spark_session is not None:
-                return _active_spark_session
-            _active_spark_session = self.create()
-            return _active_spark_session
+            with SparkSession._lock:
+                session = SparkSession.getActiveSession()
+                if session is None:
+                    session = SparkSession._default_session
+                    if session is None:
+                        session = self.create()
+                return session
 
     _client: SparkConnectClient
 
     @classproperty
     def builder(cls) -> Builder:
-        """Creates a :class:`Builder` for constructing a :class:`SparkSession`."""
         return cls.Builder()
 
+    builder.__doc__ = PySparkSession.builder.__doc__
+
     def __init__(self, connection: Union[str, ChannelBuilder], userId: Optional[str] = None):
         """
         Creates a new SparkSession for the Spark Connect interface.
@@ -236,6 +238,38 @@ def __init__(self, connection: Union[str, ChannelBuilder], userId: Optional[str]
         self._client = SparkConnectClient(connection=connection, user_id=userId)
         self._session_id = self._client._session_id
 
+    @classmethod
+    def _set_default_and_active_session(cls, session: "SparkSession") -> None:
+        """
+        Set the (global) default :class:`SparkSession`, and (thread-local)
+        active :class:`SparkSession` when they are not set yet.
+        """
+        with cls._lock:
+            if cls._default_session is None:
+                cls._default_session = session
+        if getattr(cls._active_session, "session", None) is None:
+            cls._active_session.session = session
+
+    @classmethod
+    def getActiveSession(cls) -> Optional["SparkSession"]:
+        return getattr(cls._active_session, "session", None)
+
+    getActiveSession.__doc__ = PySparkSession.getActiveSession.__doc__
+
+    @classmethod
+    def active(cls) -> "SparkSession":
+        session = cls.getActiveSession()
+        if session is None:
+            session = cls._default_session
+            if session is None:
+                raise PySparkRuntimeError(
+                    error_class="NO_ACTIVE_OR_DEFAULT_SESSION",
+                    message_parameters={},
+                )
+        return session
+
+    active.__doc__ = PySparkSession.active.__doc__
+
     def table(self, tableName: str) -> DataFrame:
         return self.read.table(tableName)
 
@@ -251,6 +285,8 @@ def read(self) -> "DataFrameReader":
     def readStream(self) -> "DataStreamReader":
         return DataStreamReader(self)
 
+    readStream.__doc__ = PySparkSession.readStream.__doc__
+
     def _inferSchemaFromList(
         self, data: Iterable[Any], names: Optional[List[str]] = None
     ) -> StructType:
@@ -601,19 +637,20 @@ def stop(self) -> None:
         # specifically in Spark Connect the Spark Connect server is designed for
         # multi-tenancy - the remote client side cannot just stop the server and stop
         # other remote clients being used from other users.
-        global _active_spark_session
-        self.client.close()
-        _active_spark_session = None
-
-        if "SPARK_LOCAL_REMOTE" in os.environ:
-            # When local mode is in use, follow the regular Spark session's
-            # behavior by terminating the Spark Connect server,
-            # meaning that you can stop local mode, and restart the Spark Connect
-            # client with a different remote address.
-            active_session = PySparkSession.getActiveSession()
-            if active_session is not None:
-                active_session.stop()
-            with SparkContext._lock:
+        with SparkSession._lock:
+            self.client.close()
+            if self is SparkSession._default_session:
+                SparkSession._default_session = None
+            if self is getattr(SparkSession._active_session, "session", None):
+                SparkSession._active_session.session = None
+
+            if "SPARK_LOCAL_REMOTE" in os.environ:
+                # When local mode is in use, follow the regular Spark session's
+                # behavior by terminating the Spark Connect server,
+                # meaning that you can stop local mode, and restart the Spark Connect
+                # client with a different remote address.
+                if PySparkSession._activeSession is not None:
+                    PySparkSession._activeSession.stop()
                 del os.environ["SPARK_LOCAL_REMOTE"]
                 del os.environ["SPARK_CONNECT_MODE_ENABLED"]
                 if "SPARK_REMOTE" in os.environ:
@@ -628,20 +665,18 @@ def is_stopped(self) -> bool:
         """
         return self.client.is_closed
 
-    @classmethod
-    def getActiveSession(cls) -> Any:
-        raise PySparkNotImplementedError(
-            error_class="NOT_IMPLEMENTED", message_parameters={"feature": "getActiveSession()"}
-        )
-
     @property
     def conf(self) -> RuntimeConf:
         return RuntimeConf(self.client)
 
+    conf.__doc__ = PySparkSession.conf.__doc__
+
     @property
     def streams(self) -> "StreamingQueryManager":
         return StreamingQueryManager(self)
 
+    streams.__doc__ = PySparkSession.streams.__doc__
+
     def __getattr__(self, name: str) -> Any:
         if name in ["_jsc", "_jconf", "_jvm", "_jsparkSession"]:
             raise PySparkAttributeError(
@@ -675,6 +710,8 @@ def version(self) -> str:
         assert result is not None
         return result
 
+    version.__doc__ = PySparkSession.version.__doc__
+
     @property
     def client(self) -> "SparkConnectClient":
         return self._client
diff --git a/python/pyspark/sql/connect/udf.py b/python/pyspark/sql/connect/udf.py
index 2d7e423d3d571..eb0541b936925 100644
--- a/python/pyspark/sql/connect/udf.py
+++ b/python/pyspark/sql/connect/udf.py
@@ -37,8 +37,7 @@
 from pyspark.sql.connect.types import UnparsedDataType
 from pyspark.sql.types import DataType, StringType
 from pyspark.sql.udf import UDFRegistration as PySparkUDFRegistration
-from pyspark.errors import PySparkTypeError
-
+from pyspark.errors import PySparkTypeError, PySparkRuntimeError
 
 if TYPE_CHECKING:
     from pyspark.sql.connect._typing import (
@@ -58,14 +57,20 @@ def _create_py_udf(
     from pyspark.sql.udf import _create_arrow_py_udf
 
     if useArrow is None:
-        from pyspark.sql.connect.session import _active_spark_session
-
-        is_arrow_enabled = (
-            False
-            if _active_spark_session is None
-            else _active_spark_session.conf.get("spark.sql.execution.pythonUDF.arrow.enabled")
-            == "true"
-        )
+        is_arrow_enabled = False
+        try:
+            from pyspark.sql.connect.session import SparkSession
+
+            session = SparkSession.active()
+            is_arrow_enabled = (
+                str(session.conf.get("spark.sql.execution.pythonUDF.arrow.enabled")).lower()
+                == "true"
+            )
+        except PySparkRuntimeError as e:
+            if e.error_class == "NO_ACTIVE_OR_DEFAULT_SESSION":
+                pass  # Just uses the default if no session found.
+            else:
+                raise e
     else:
         is_arrow_enabled = useArrow
 
diff --git a/python/pyspark/sql/connect/udtf.py b/python/pyspark/sql/connect/udtf.py
index 07e2bad6ec7bb..850ffe2b9b4b6 100644
--- a/python/pyspark/sql/connect/udtf.py
+++ b/python/pyspark/sql/connect/udtf.py
@@ -68,13 +68,20 @@ def _create_py_udtf(
     if useArrow is not None:
         arrow_enabled = useArrow
     else:
-        from pyspark.sql.connect.session import _active_spark_session
+        from pyspark.sql.connect.session import SparkSession
 
         arrow_enabled = False
-        if _active_spark_session is not None:
-            value = _active_spark_session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")
-            if isinstance(value, str) and value.lower() == "true":
-                arrow_enabled = True
+        try:
+            session = SparkSession.active()
+            arrow_enabled = (
+                str(session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")).lower()
+                == "true"
+            )
+        except PySparkRuntimeError as e:
+            if e.error_class == "NO_ACTIVE_OR_DEFAULT_SESSION":
+                pass  # Just uses the default if no session found.
+            else:
+                raise e
 
     # Create a regular Python UDTF and check for invalid handler class.
     regular_udtf = _create_udtf(cls, returnType, name, PythonEvalType.SQL_TABLE_UDF, deterministic)
@@ -156,17 +163,13 @@ def _build_common_inline_user_defined_table_function(
         )
 
     def __call__(self, *cols: "ColumnOrName") -> "DataFrame":
+        from pyspark.sql.connect.session import SparkSession
         from pyspark.sql.connect.dataframe import DataFrame
-        from pyspark.sql.connect.session import _active_spark_session
 
-        if _active_spark_session is None:
-            raise PySparkRuntimeError(
-                "An active SparkSession is required for "
-                "executing a Python user-defined table function."
-            )
+        session = SparkSession.active()
 
         plan = self._build_common_inline_user_defined_table_function(*cols)
-        return DataFrame.withPlan(plan, _active_spark_session)
+        return DataFrame.withPlan(plan, session)
 
     def asNondeterministic(self) -> "UserDefinedTableFunction":
         self.deterministic = False
diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index ede6318782e0a..9141051fdf830 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -64,8 +64,8 @@
     _from_numpy_type,
 )
 from pyspark.errors.exceptions.captured import install_exception_handler
-from pyspark.sql.utils import is_timestamp_ntz_preferred, to_str
-from pyspark.errors import PySparkValueError, PySparkTypeError
+from pyspark.sql.utils import is_timestamp_ntz_preferred, to_str, try_remote_session_classmethod
+from pyspark.errors import PySparkValueError, PySparkTypeError, PySparkRuntimeError
 
 if TYPE_CHECKING:
     from pyspark.sql._typing import AtomicValue, RowLike, OptionalPrimitiveType
@@ -500,7 +500,7 @@ def getOrCreate(self) -> "SparkSession":
                     ).applyModifiableSettings(session._jsparkSession, self._options)
                 return session
 
-        # SparkConnect-specific API
+        # Spark Connect-specific API
         def create(self) -> "SparkSession":
             """Creates a new SparkSession. Can only be used in the context of Spark Connect
             and will throw an exception otherwise.
@@ -510,6 +510,10 @@ def create(self) -> "SparkSession":
             Returns
             -------
             :class:`SparkSession`
+
+            Notes
+            -----
+            This method will update the default and/or active session if they are not set.
             """
             opts = dict(self._options)
             if "SPARK_REMOTE" in os.environ or "spark.remote" in opts:
@@ -546,7 +550,11 @@ def create(self) -> "SparkSession":
     # to Python 3.9.6 (https://github.com/python/cpython/pull/28838)
     @classproperty
     def builder(cls) -> Builder:
-        """Creates a :class:`Builder` for constructing a :class:`SparkSession`."""
+        """Creates a :class:`Builder` for constructing a :class:`SparkSession`.
+
+        .. versionchanged:: 3.4.0
+            Supports Spark Connect.
+        """
         return cls.Builder()
 
     _instantiatedSession: ClassVar[Optional["SparkSession"]] = None
@@ -632,12 +640,16 @@ def newSession(self) -> "SparkSession":
         return self.__class__(self._sc, self._jsparkSession.newSession())
 
     @classmethod
+    @try_remote_session_classmethod
     def getActiveSession(cls) -> Optional["SparkSession"]:
         """
         Returns the active :class:`SparkSession` for the current thread, returned by the builder
 
         .. versionadded:: 3.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         :class:`SparkSession`
@@ -667,6 +679,30 @@ def getActiveSession(cls) -> Optional["SparkSession"]:
             else:
                 return None
 
+    @classmethod
+    @try_remote_session_classmethod
+    def active(cls) -> "SparkSession":
+        """
+        Returns the active or default :class:`SparkSession` for the current thread, returned by
+        the builder.
+
+        .. versionadded:: 3.5.0
+
+        Returns
+        -------
+        :class:`SparkSession`
+            Spark session if an active or default session exists for the current thread.
+        """
+        session = cls.getActiveSession()
+        if session is None:
+            session = cls._instantiatedSession
+            if session is None:
+                raise PySparkRuntimeError(
+                    error_class="NO_ACTIVE_OR_DEFAULT_SESSION",
+                    message_parameters={},
+                )
+        return session
+
     @property
     def sparkContext(self) -> SparkContext:
         """
@@ -698,6 +734,9 @@ def version(self) -> str:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.4.0
+            Supports Spark Connect.
+
         Returns
         -------
         str
@@ -719,6 +758,9 @@ def conf(self) -> RuntimeConfig:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.4.0
+            Supports Spark Connect.
+
         Returns
         -------
         :class:`pyspark.sql.conf.RuntimeConfig`
@@ -726,7 +768,7 @@ def conf(self) -> RuntimeConfig:
         Examples
         --------
         >>> spark.conf
-        <pyspark.sql.conf.RuntimeConfig object ...>
+        <pyspark...RuntimeConf...>
 
         Set a runtime configuration for the session
 
@@ -805,6 +847,9 @@ def udtf(self) -> "UDTFRegistration":
 
         .. versionadded:: 3.5.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Returns
         -------
         :class:`UDTFRegistration`
@@ -1639,6 +1684,9 @@ def readStream(self) -> DataStreamReader:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -1650,7 +1698,7 @@ def readStream(self) -> DataStreamReader:
         Examples
         --------
         >>> spark.readStream
-        <pyspark.sql.streaming.readwriter.DataStreamReader object ...>
+        <pyspark...DataStreamReader object ...>
 
         The example below uses Rate source that generates rows continuously.
         After that, we operate a modulo by 3, and then write the stream out to the console.
@@ -1672,6 +1720,9 @@ def streams(self) -> "StreamingQueryManager":
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -1683,7 +1734,7 @@ def streams(self) -> "StreamingQueryManager":
         Examples
         --------
         >>> spark.streams
-        <pyspark.sql.streaming.query.StreamingQueryManager object ...>
+        <pyspark...StreamingQueryManager object ...>
 
         Get the list of active streaming queries
 
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 065f1585a9f06..0687fc9f31331 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -3043,9 +3043,6 @@ def test_unsupported_functions(self):
     def test_unsupported_session_functions(self):
         # SPARK-41934: Disable unsupported functions.
 
-        with self.assertRaises(NotImplementedError):
-            RemoteSparkSession.getActiveSession()
-
         with self.assertRaises(NotImplementedError):
             RemoteSparkSession.builder.enableHiveSupport()
 
@@ -3331,6 +3328,7 @@ def test_error_stack_trace(self):
         spark.stop()
 
     def test_can_create_multiple_sessions_to_different_remotes(self):
+        self.spark.stop()
         self.assertIsNotNone(self.spark._client)
         # Creates a new remote session.
         other = PySparkSession.builder.remote("sc://other.remote:114/").create()
diff --git a/python/pyspark/sql/utils.py b/python/pyspark/sql/utils.py
index 608ed7e9ac9f8..b72d8d9a7c811 100644
--- a/python/pyspark/sql/utils.py
+++ b/python/pyspark/sql/utils.py
@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import inspect
 import functools
 import os
 from typing import Any, Callable, Optional, Sequence, TYPE_CHECKING, cast, TypeVar, Union, Type
@@ -239,6 +240,23 @@ def wrapped(*args: Any, **kwargs: Any) -> Any:
     return cast(FuncT, wrapped)
 
 
+def try_remote_session_classmethod(f: FuncT) -> FuncT:
+    """Mark API supported from Spark Connect."""
+
+    @functools.wraps(f)
+    def wrapped(*args: Any, **kwargs: Any) -> Any:
+
+        if is_remote() and "PYSPARK_NO_NAMESPACE_SHARE" not in os.environ:
+            from pyspark.sql.connect.session import SparkSession  # type: ignore[misc]
+
+            assert inspect.isclass(args[0])
+            return getattr(SparkSession, f.__name__)(*args[1:], **kwargs)
+        else:
+            return f(*args, **kwargs)
+
+    return cast(FuncT, wrapped)
+
+
 def pyspark_column_op(
     func_name: str, left: "IndexOpsLike", right: Any, fillna: Any = None
 ) -> Union["SeriesOrIndex", None]:

From 19c8001dacb2933ef0a052babdd976fa886b8b4d Mon Sep 17 00:00:00 2001
From: Siying Dong <siying.dong@databricks.com>
Date: Tue, 8 Aug 2023 11:11:56 +0900
Subject: [PATCH 182/986] [SPARK-44683][SS] Logging level isn't passed to
 RocksDB state store provider correctly

### What changes were proposed in this pull request?
The logging level is passed into RocksDB in a correct way.

### Why are the changes needed?
We pass log4j's log level to RocksDB so that RocksDB debug log can go to log4j. However, we pass in log level after we create the logger. However, the way it is set isn't effective. This has two impacts: (1) setting DEBUG level don't make RocksDB generate DEBUG level logs; (2) setting WARN or ERROR level does prevent INFO level logging, but RocksDB still makes JNI calls to Scala, which is an unnecessary overhead.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually change the log level and observe the log lines in unit tests.

Closes #42354 from siying/rocks_log_level.

Authored-by: Siying Dong <siying.dong@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 630b1777904f15c7ac05c3cd61c0006cd692bc93)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../apache/spark/sql/execution/streaming/state/RocksDB.scala | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
index 386df61a9e08f..2398b7780726a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
@@ -613,8 +613,11 @@ class RocksDB(
     if (log.isWarnEnabled) dbLogLevel = InfoLogLevel.WARN_LEVEL
     if (log.isInfoEnabled) dbLogLevel = InfoLogLevel.INFO_LEVEL
     if (log.isDebugEnabled) dbLogLevel = InfoLogLevel.DEBUG_LEVEL
-    dbOptions.setLogger(dbLogger)
+    dbLogger.setInfoLogLevel(dbLogLevel)
+    // The log level set in dbLogger is effective and the one to dbOptions isn't applied to
+    // customized logger. We still set it as it might show up in RocksDB config file or logging.
     dbOptions.setInfoLogLevel(dbLogLevel)
+    dbOptions.setLogger(dbLogger)
     logInfo(s"Set RocksDB native logging level to $dbLogLevel")
     dbLogger
   }

From 06871f2ae4c5f2b5a2208a6ead83e7802d2e0c16 Mon Sep 17 00:00:00 2001
From: Chao Sun <sunchao@apple.com>
Date: Mon, 7 Aug 2023 19:16:38 -0700
Subject: [PATCH 183/986] [SPARK-44641][SQL] Incorrect result in certain
 scenarios when SPJ is not triggered

This PR makes sure we use unique partition values when calculating the final partitions in `BatchScanExec`, to make sure no duplicated partitions are generated.

When `spark.sql.sources.v2.bucketing.pushPartValues.enabled` and `spark.sql.sources.v2.bucketing.partiallyClusteredDistribution.enabled` are enabled, and SPJ is not triggered, currently Spark will generate incorrect/duplicated results.

This is because with both configs enabled, Spark will delay the partition grouping until the time it calculates the final partitions used by the input RDD. To calculate the partitions, it uses partition values from the `KeyGroupedPartitioning` to find out the right ordering for the partitions. However, since grouping is not done when the partition values is computed, there could be duplicated partition values. This means the result could contain duplicated partitions too.

No, this is a bug fix.

Added a new test case for this scenario.

Closes #42324 from sunchao/SPARK-44641.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: Chao Sun <sunchao@apple.com>
(cherry picked from commit aa1261dc129618d27a1bdc743a5fdd54219f7c01)
Signed-off-by: Chao Sun <sunchao@apple.com>
---
 .../plans/physical/partitioning.scala         |  9 ++-
 .../datasources/v2/BatchScanExec.scala        |  9 ++-
 .../KeyGroupedPartitioningSuite.scala         | 56 +++++++++++++++++++
 3 files changed, 72 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
index 6512344169bba..d2f9e9b5d5bf5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
@@ -313,7 +313,7 @@ case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
  * by `expressions`. `partitionValuesOpt`, if defined, should contain value of partition key(s) in
  * ascending order, after evaluated by the transforms in `expressions`, for each input partition.
  * In addition, its length must be the same as the number of input partitions (and thus is a 1-1
- * mapping), and each row in `partitionValuesOpt` must be unique.
+ * mapping). The `partitionValues` may contain duplicated partition values.
  *
  * For example, if `expressions` is `[years(ts_col)]`, then a valid value of `partitionValuesOpt` is
  * `[0, 1, 2]`, which represents 3 input partitions with distinct partition values. All rows
@@ -355,6 +355,13 @@ case class KeyGroupedPartitioning(
 
   override def createShuffleSpec(distribution: ClusteredDistribution): ShuffleSpec =
     KeyGroupedShuffleSpec(this, distribution)
+
+  lazy val uniquePartitionValues: Seq[InternalRow] = {
+    partitionValues
+        .map(InternalRowComparableWrapper(_, expressions))
+        .distinct
+        .map(_.row)
+  }
 }
 
 object KeyGroupedPartitioning {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
index 4b53819739262..eba3c71f871e3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
@@ -190,10 +190,17 @@ case class BatchScanExec(
                     Seq.fill(numSplits)(Seq.empty))
               }
             } else {
+              // either `commonPartitionValues` is not defined, or it is defined but
+              // `applyPartialClustering` is false.
               val partitionMapping = groupedPartitions.map { case (row, parts) =>
                 InternalRowComparableWrapper(row, p.expressions) -> parts
               }.toMap
-              finalPartitions = p.partitionValues.map { partValue =>
+
+              // In case `commonPartitionValues` is not defined (e.g., SPJ is not used), there
+              // could exist duplicated partition values, as partition grouping is not done
+              // at the beginning and postponed to this method. It is important to use unique
+              // partition values here so that grouped partitions won't get duplicated.
+              finalPartitions = p.uniquePartitionValues.map { partValue =>
                 // Use empty partition for those partition values that are not present
                 partitionMapping.getOrElse(
                   InternalRowComparableWrapper(partValue, p.expressions), Seq.empty)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 880c30ba9f98d..8461f528277c3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -1039,4 +1039,60 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       }
     }
   }
+
+  test("SPARK-44641: duplicated records when SPJ is not triggered") {
+    val items_partitions = Array(bucket(8, "id"))
+    createTable(items, items_schema, items_partitions)
+    sql(s"""
+        INSERT INTO testcat.ns.$items VALUES
+        (1, 'aa', 40.0, cast('2020-01-01' as timestamp)),
+        (1, 'aa', 41.0, cast('2020-01-15' as timestamp)),
+        (2, 'bb', 10.0, cast('2020-01-01' as timestamp)),
+        (2, 'bb', 10.5, cast('2020-01-01' as timestamp)),
+        (3, 'cc', 15.5, cast('2020-02-01' as timestamp))""")
+
+    val purchases_partitions = Array(bucket(8, "item_id"))
+    createTable(purchases, purchases_schema, purchases_partitions)
+    sql(s"""INSERT INTO testcat.ns.$purchases VALUES
+        (1, 42.0, cast('2020-01-01' as timestamp)),
+        (1, 44.0, cast('2020-01-15' as timestamp)),
+        (1, 45.0, cast('2020-01-15' as timestamp)),
+        (2, 11.0, cast('2020-01-01' as timestamp)),
+        (3, 19.5, cast('2020-02-01' as timestamp))""")
+
+    Seq(true, false).foreach { pushDownValues =>
+      Seq(true, false).foreach { partiallyClusteredEnabled =>
+        withSQLConf(
+          SQLConf.V2_BUCKETING_PUSH_PART_VALUES_ENABLED.key -> pushDownValues.toString,
+          SQLConf.V2_BUCKETING_PARTIALLY_CLUSTERED_DISTRIBUTION_ENABLED.key ->
+              partiallyClusteredEnabled.toString) {
+
+          // join keys are not the same as the partition keys, therefore SPJ is not triggered.
+          val df = sql(
+            s"""
+               SELECT id, name, i.price as purchase_price, p.item_id, p.price as sale_price
+               FROM testcat.ns.$items i JOIN testcat.ns.$purchases p
+               ON i.arrive_time = p.time ORDER BY id, purchase_price, p.item_id, sale_price
+               """)
+
+          val shuffles = collectShuffles(df.queryExecution.executedPlan)
+          assert(shuffles.nonEmpty, "shuffle should exist when SPJ is not used")
+
+          checkAnswer(df,
+            Seq(
+              Row(1, "aa", 40.0, 1, 42.0),
+              Row(1, "aa", 40.0, 2, 11.0),
+              Row(1, "aa", 41.0, 1, 44.0),
+              Row(1, "aa", 41.0, 1, 45.0),
+              Row(2, "bb", 10.0, 1, 42.0),
+              Row(2, "bb", 10.0, 2, 11.0),
+              Row(2, "bb", 10.5, 1, 42.0),
+              Row(2, "bb", 10.5, 2, 11.0),
+              Row(3, "cc", 15.5, 3, 19.5)
+            )
+          )
+        }
+      }
+    }
+  }
 }

From cd4ae6e7452170422bdf14ab5e1957e61503904f Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 8 Aug 2023 11:06:21 +0800
Subject: [PATCH 184/986] [SPARK-44689][CONNECT] Make the exception handling of
 function `SparkConnectPlanner#unpackScalarScalaUDF` more universal

### What changes were proposed in this pull request?
This PR changes the exception handling in the `unpackScalarScalaUD` function in `SparkConnectPlanner` from determining the exception type based on a fixed nesting level to using Guava `Throwables` to get the root cause and then determining the type of the root cause. This makes it compatible with differences between different Java versions.

### Why are the changes needed?
The following failure occurred when testing `UDFClassLoadingE2ESuite` in Java 17 daily test:

https://github.com/apache/spark/actions/runs/5766913899/job/15635782831

```
[info] UDFClassLoadingE2ESuite:
[info] - update class loader after stubbing: new session *** FAILED *** (101 milliseconds)
[info]   "Exception in SerializedLambda.readResolve" did not contain "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf" (UDFClassLoadingE2ESuite.scala:57)
...
[info] - update class loader after stubbing: same session *** FAILED *** (52 milliseconds)
[info]   "Exception in SerializedLambda.readResolve" did not contain "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf" (UDFClassLoadingE2ESuite.scala:73)
...
```

After analysis, it was found that there are differences in the exception stack generated on the server side between Java 8 and Java 17:

- Java 8

```
java.io.IOException: unexpected exception type
  at java.io.ObjectStreamClass.throwMiscException(ObjectStreamClass.java:1750)
  at java.io.ObjectStreamClass.invokeReadResolve(ObjectStreamClass.java:1280)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2222)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1669)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2431)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2355)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2213)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1669)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
  at org.apache.spark.util.SparkSerDeUtils.deserialize(SparkSerDeUtils.scala:50)
  at org.apache.spark.util.SparkSerDeUtils.deserialize$(SparkSerDeUtils.scala:41)
  at org.apache.spark.util.Utils$.deserialize(Utils.scala:95)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.unpackScalarScalaUDF(SparkConnectPlanner.scala:1516)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.org$apache$spark$sql$connect$planner$SparkConnectPlanner$$unpackUdf(SparkConnectPlanner.scala:1507)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformScalarScalaFunction(SparkConnectPlanner.scala:1544)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleRegisterScalarScalaUDF(SparkConnectPlanner.scala:2565)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleRegisterUserDefinedFunction(SparkConnectPlanner.scala:2492)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:2363)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handleCommand(ExecuteThreadRunner.scala:202)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:158)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:132)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:184)
  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:184)
  at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withContextClassLoader$1(SessionHolder.scala:171)
  at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:179)
  at org.apache.spark.sql.connect.service.SessionHolder.withContextClassLoader(SessionHolder.scala:170)
  at org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:183)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:132)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:84)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:227)
Caused by: java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf.$deserializeLambda$(java.lang.invoke.SerializedLambda)
  at java.lang.Class.getDeclaredMethod(Class.java:2130)
  at java.lang.invoke.SerializedLambda$1.run(SerializedLambda.java:224)
  at java.lang.invoke.SerializedLambda$1.run(SerializedLambda.java:221)
  at java.security.AccessController.doPrivileged(Native Method)
  at java.lang.invoke.SerializedLambda.readResolve(SerializedLambda.java:221)
  at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
  at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  at java.lang.reflect.Method.invoke(Method.java:498)
  at java.io.ObjectStreamClass.invokeReadResolve(ObjectStreamClass.java:1274)
  ... 31 more
```

- Java 17

```
java.lang.RuntimeException: Exception in SerializedLambda.readResolve
  at java.base/java.lang.invoke.SerializedLambda.readResolve(SerializedLambda.java:288)
  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
  at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  at java.base/java.lang.reflect.Method.invoke(Method.java:568)
  at java.base/java.io.ObjectStreamClass.invokeReadResolve(ObjectStreamClass.java:1190)
  at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2266)
  at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733)
  at java.base/java.io.ObjectInputStream$FieldValues.<init>(ObjectInputStream.java:2606)
  at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2457)
  at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257)
  at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733)
  at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:509)
  at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:467)
  at org.apache.spark.util.SparkSerDeUtils.deserialize(SparkSerDeUtils.scala:50)
  at org.apache.spark.util.SparkSerDeUtils.deserialize$(SparkSerDeUtils.scala:41)
  at org.apache.spark.util.Utils$.deserialize(Utils.scala:95)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.unpackScalarScalaUDF(SparkConnectPlanner.scala:1517)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.org$apache$spark$sql$connect$planner$SparkConnectPlanner$$unpackUdf(SparkConnectPlanner.scala:1507)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformScalarScalaFunction(SparkConnectPlanner.scala:1552)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleRegisterScalarScalaUDF(SparkConnectPlanner.scala:2573)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleRegisterUserDefinedFunction(SparkConnectPlanner.scala:2500)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:2371)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handleCommand(ExecuteThreadRunner.scala:202)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:158)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:132)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:184)
  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:184)
  at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)
  at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withContextClassLoader$1(SessionHolder.scala:171)
  at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:179)
  at org.apache.spark.sql.connect.service.SessionHolder.withContextClassLoader(SessionHolder.scala:170)
  at org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:183)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:132)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:84)
  at org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:227)
Caused by: java.security.PrivilegedActionException: java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf.$deserializeLambda$(java.lang.invoke.SerializedLambda)
  at java.base/java.security.AccessController.doPrivileged(AccessController.java:573)
  at java.base/java.lang.invoke.SerializedLambda.readResolve(SerializedLambda.java:269)
  ... 36 more
Caused by: java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf.$deserializeLambda$(java.lang.invoke.SerializedLambda)
  at java.base/java.lang.Class.getDeclaredMethod(Class.java:2675)
  at java.base/java.lang.invoke.SerializedLambda$1.run(SerializedLambda.java:272)
  at java.base/java.lang.invoke.SerializedLambda$1.run(SerializedLambda.java:269)
  at java.base/java.security.AccessController.doPrivileged(AccessController.java:569)
  ... 37 more
```

While their root exceptions are both `NoSuchMethodException`, the levels of nesting are different.

We can add an exception check branch to make it compatible with Java 17, for example:

```scala
case e: IOException if e.getCause.isInstanceOf[NoSuchMethodException] =>
  throw new ClassNotFoundException(... ${e.getCause} ...)
case e: RuntimeException
    if e.getCause != null && e.getCause.getCause.isInstanceOf[NoSuchMethodException] =>
  throw new ClassNotFoundException(... ${e.getCause.getCause} ...)
```

But if future Java versions change the nested levels of exceptions again, this will necessitate another modification of this part of the code. Therefore, this PR has been revised to fetch the root cause of the exception and conduct a type check on the root cause to make it as universal as possible.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Git Hub Actions
- Manually check with Java 17

```
java -version
openjdk version "17.0.8" 2023-07-18 LTS
OpenJDK Runtime Environment Zulu17.44+15-CA (build 17.0.8+7-LTS)
OpenJDK 64-Bit Server VM Zulu17.44+15-CA (build 17.0.8+7-LTS, mixed mode, sharing)
```

run

```
build/sbt clean "connect-client-jvm/testOnly *UDFClassLoadingE2ESuite" -Phive
```

Before

```
[info] UDFClassLoadingE2ESuite:
[info] - update class loader after stubbing: new session *** FAILED *** (60 milliseconds)
[info]   "Exception in SerializedLambda.readResolve" did not contain "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf" (UDFClassLoadingE2ESuite.scala:57)
...
[info] - update class loader after stubbing: same session *** FAILED *** (15 milliseconds)
[info]   "Exception in SerializedLambda.readResolve" did not contain "java.lang.NoSuchMethodException: org.apache.spark.sql.connect.client.StubClassDummyUdf" (UDFClassLoadingE2ESuite.scala:73)
...
[info] Run completed in 9 seconds, 565 milliseconds.
[info] Total number of tests run: 2
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 0, failed 2, canceled 0, ignored 0, pending 0
[info] *** 2 TESTS FAILED ***
[error] Failed tests:
[error]   org.apache.spark.sql.connect.client.UDFClassLoadingE2ESuite
[error] (connect-client-jvm / Test / testOnly) sbt.TestsFailedException: Tests unsuccessful
```

After

```
[info] UDFClassLoadingE2ESuite:
[info] - update class loader after stubbing: new session (116 milliseconds)
[info] - update class loader after stubbing: same session (41 milliseconds)
[info] Run completed in 9 seconds, 781 milliseconds.
[info] Total number of tests run: 2
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 2, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
```

Closes #42360 from LuciferYang/unpackScalarScalaUDF-exception-java17.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 25053d98186489d9f2061c9b815a5a33f7e309c4)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../connect/planner/SparkConnectPlanner.scala   | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index bfdc6f6271ce1..d59d01b4ce34f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -17,12 +17,11 @@
 
 package org.apache.spark.sql.connect.planner
 
-import java.io.IOException
-
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.Try
 
+import com.google.common.base.Throwables
 import com.google.common.collect.{Lists, Maps}
 import com.google.protobuf.{Any => ProtoAny, ByteString}
 import io.grpc.{Context, Status, StatusRuntimeException}
@@ -1518,11 +1517,15 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       logDebug(s"Unpack using class loader: ${Utils.getContextOrSparkClassLoader}")
       Utils.deserialize[T](fun.getPayload.toByteArray, Utils.getContextOrSparkClassLoader)
     } catch {
-      case e: IOException if e.getCause.isInstanceOf[NoSuchMethodException] =>
-        throw new ClassNotFoundException(
-          s"Failed to load class correctly due to ${e.getCause}. " +
-            "Make sure the artifact where the class is defined is installed by calling" +
-            " session.addArtifact.")
+      case t: Throwable =>
+        Throwables.getRootCause(t) match {
+          case nsm: NoSuchMethodException =>
+            throw new ClassNotFoundException(
+              s"Failed to load class correctly due to $nsm. " +
+                "Make sure the artifact where the class is defined is installed by calling" +
+                " session.addArtifact.")
+          case _ => throw t
+        }
     }
   }
 

From b7a9b85716c7fb0aedb78bb8a04b00ba6c132d28 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Tue, 8 Aug 2023 11:09:58 +0800
Subject: [PATCH 185/986] [SPARK-44005][PYTHON] Improve error messages for
 regular Python UDTFs that return non-tuple values

### What changes were proposed in this pull request?

This PR improves error messages for regular Python UDTFs when the result rows are not one of tuple, list and dict. Note this is supported when arrow optimization is enabled.

### Why are the changes needed?

To make Python UDTFs more user friendly.

### Does this PR introduce _any_ user-facing change?

Yes.
```
class TestUDTF:
    def eval(self, a: int):
        yield a
```
Before this PR, this will fail with this error
`Unexpected tuple 1 with StructType`

After this PR, this will have a more user-friendly error:
`[UDTF_INVALID_OUTPUT_ROW_TYPE] The type of an individual output row in the UDTF is invalid. Each row should be a tuple, list, or dict, but got 'int'. Please make sure that the output rows are of the correct type.`

### How was this patch tested?

Existing UTs.

Closes #42353 from allisonwang-db/spark-44005-non-tuple-return-val.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 590b77f76284ad03ad8b3b6d30b23983c66513fc)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/errors/error_classes.py |  5 +++++
 python/pyspark/sql/tests/test_udtf.py  | 26 +++++++++++---------------
 python/pyspark/worker.py               | 12 +++++++++---
 3 files changed, 25 insertions(+), 18 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 937a875840478..279812ebae159 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -733,6 +733,11 @@
       "User defined table function encountered an error in the '<method_name>' method: <error>"
     ]
   },
+  "UDTF_INVALID_OUTPUT_ROW_TYPE" : {
+    "message" : [
+        "The type of an individual output row in the UDTF is invalid. Each row should be a tuple, list, or dict, but got '<type>'. Please make sure that the output rows are of the correct type."
+    ]
+  },
   "UDTF_RETURN_NOT_ITERABLE" : {
     "message" : [
       "The return value of the UDTF is invalid. It should be an iterable (e.g., generator or list), but got '<type>'. Please make sure that the UDTF returns one of these types."
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 0540ecddde70d..d152228fc52a8 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -139,24 +139,21 @@ def eval(self, a: int, b: int):
         self.assertEqual(rows, [Row(a=1, b=2), Row(a=2, b=3)])
 
     def test_udtf_eval_returning_non_tuple(self):
+        @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
                 yield a
 
-        func = udtf(TestUDTF, returnType="a: int")
-        # TODO(SPARK-44005): improve this error message
-        with self.assertRaisesRegex(PythonException, "Unexpected tuple 1 with StructType"):
-            func(lit(1)).collect()
+        with self.assertRaisesRegex(PythonException, "UDTF_INVALID_OUTPUT_ROW_TYPE"):
+            TestUDTF(lit(1)).collect()
 
-    def test_udtf_eval_returning_non_generator(self):
+        @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
                 return (a,)
 
-        func = udtf(TestUDTF, returnType="a: int")
-        # TODO(SPARK-44005): improve this error message
-        with self.assertRaisesRegex(PythonException, "Unexpected tuple 1 with StructType"):
-            func(lit(1)).collect()
+        with self.assertRaisesRegex(PythonException, "UDTF_INVALID_OUTPUT_ROW_TYPE"):
+            TestUDTF(lit(1)).collect()
 
     def test_udtf_with_invalid_return_value(self):
         @udtf(returnType="x: int")
@@ -1159,21 +1156,20 @@ def eval(self):
         self.spark.conf.set("spark.sql.execution.pythonUDTF.arrow.enabled", old_value)
 
     def test_udtf_eval_returning_non_tuple(self):
+        @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
                 yield a
 
-        func = udtf(TestUDTF, returnType="a: int")
         # When arrow is enabled, it can handle non-tuple return value.
-        self.assertEqual(func(lit(1)).collect(), [Row(a=1)])
+        assertDataFrameEqual(TestUDTF(lit(1)), [Row(a=1)])
 
-    def test_udtf_eval_returning_non_generator(self):
+        @udtf(returnType="a: int")
         class TestUDTF:
             def eval(self, a: int):
-                return (a,)
+                return [a]
 
-        func = udtf(TestUDTF, returnType="a: int")
-        self.assertEqual(func(lit(1)).collect(), [Row(a=1)])
+        assertDataFrameEqual(TestUDTF(lit(1)), [Row(a=1)])
 
     def test_numeric_output_type_casting(self):
         class TestUDTF:
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index c9eedd43b2905..f844a13145562 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -665,9 +665,8 @@ def wrap_udtf(f, return_type):
             return_type_size = len(return_type)
 
             def verify_and_convert_result(result):
-                # TODO(SPARK-44005): support returning non-tuple values
-                if result is not None and hasattr(result, "__len__"):
-                    if len(result) != return_type_size:
+                if result is not None:
+                    if hasattr(result, "__len__") and len(result) != return_type_size:
                         raise PySparkRuntimeError(
                             error_class="UDTF_RETURN_SCHEMA_MISMATCH",
                             message_parameters={
@@ -675,6 +674,13 @@ def verify_and_convert_result(result):
                                 "actual": str(len(result)),
                             },
                         )
+
+                    if not (isinstance(result, (list, dict, tuple)) or hasattr(result, "__dict__")):
+                        raise PySparkRuntimeError(
+                            error_class="UDTF_INVALID_OUTPUT_ROW_TYPE",
+                            message_parameters={"type": type(result).__name__},
+                        )
+
                 return toInternal(result)
 
             # Evaluate the function and return a tuple back to the executor.

From b623c28f521e350b0f4bf15bfb911ca6bf0b1a80 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Tue, 8 Aug 2023 13:26:19 +0500
Subject: [PATCH 186/986] [SPARK-44680][SQL] Improve the error for parameters
 in `DEFAULT`

### What changes were proposed in this pull request?
In the PR, I propose to check that `DEFAULT` clause contains a parameter. If so, raise appropriate error about the feature is not supported. Currently, table creation with `DEFAULT` containing any parameters finishes successfully even parameters are not supported in such case:
```sql
scala>  spark.sql("CREATE TABLE t12(c1 int default :parm)", args = Map("parm" -> 5)).show()
++
||
++
++
scala>  spark.sql("describe t12");
org.apache.spark.sql.AnalysisException: [INVALID_DEFAULT_VALUE.UNRESOLVED_EXPRESSION] Failed to execute EXISTS_DEFAULT command because the destination table column `c1` has a DEFAULT value :parm, which fails to resolve as a valid expression.
```

### Why are the changes needed?
This improves user experience with Spark SQL by saying about the root cause of the issue.

### Does this PR introduce _any_ user-facing change?
Yes. After the change, the table creation completes w/ the error:
```sql
scala> spark.sql("CREATE TABLE t12(c1 int default :parm)", args = Map("parm" -> 5)).show()
org.apache.spark.sql.catalyst.parser.ParseException:
[UNSUPPORTED_FEATURE.PARAMETER_MARKER_IN_UNEXPECTED_STATEMENT] The feature is not supported: Parameter markers are not allowed in DEFAULT.(line 1, pos 32)

== SQL ==
CREATE TABLE t12(c1 int default :parm)
--------------------------------^^^
```

### How was this patch tested?
By running new test:
```
$ build/sbt "test:testOnly *ParametersSuite"
```

Closes #42365 from MaxGekk/fix-param-in-DEFAULT.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit f7879b4c2500046cd7d889ba94adedd3000f8c41)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../spark/sql/catalyst/parser/AstBuilder.scala    | 12 ++++++++----
 .../org/apache/spark/sql/ParametersSuite.scala    | 15 +++++++++++++++
 2 files changed, 23 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index 7a28efa3e423c..83938632e534f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -40,6 +40,7 @@ import org.apache.spark.sql.catalyst.parser.SqlBaseParser._
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.trees.CurrentOrigin
+import org.apache.spark.sql.catalyst.trees.TreePattern.PARAMETER
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{CharVarcharUtils, DateTimeUtils, GeneratedColumn, IntervalUtils, ResolveDefaultColumns}
 import org.apache.spark.sql.catalyst.util.DateTimeUtils.{convertSpecialDate, convertSpecialTimestamp, convertSpecialTimestampNTZ, getZoneId, stringToDate, stringToTimestamp, stringToTimestampWithoutTimeZone}
@@ -3130,9 +3131,12 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
     ctx.asScala.headOption.map(visitLocationSpec)
   }
 
-  private def verifyAndGetExpression(exprCtx: ExpressionContext): String = {
+  private def verifyAndGetExpression(exprCtx: ExpressionContext, place: String): String = {
     // Make sure it can be converted to Catalyst expressions.
-    expression(exprCtx)
+    val expr = expression(exprCtx)
+    if (expr.containsPattern(PARAMETER)) {
+      throw QueryParsingErrors.parameterMarkerNotAllowed(place, expr.origin)
+    }
     // Extract the raw expression text so that we can save the user provided text. We don't
     // use `Expression.sql` to avoid storing incorrect text caused by bugs in any expression's
     // `sql` method. Note: `exprCtx.getText` returns a string without spaces, so we need to
@@ -3147,7 +3151,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
    */
   override def visitDefaultExpression(ctx: DefaultExpressionContext): String =
     withOrigin(ctx) {
-      verifyAndGetExpression(ctx.expression())
+      verifyAndGetExpression(ctx.expression(), "DEFAULT")
     }
 
   /**
@@ -3155,7 +3159,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
    */
   override def visitGenerationExpression(ctx: GenerationExpressionContext): String =
     withOrigin(ctx) {
-      verifyAndGetExpression(ctx.expression())
+      verifyAndGetExpression(ctx.expression(), "GENERATED")
     }
 
   /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
index 1ab9dce1c94ec..a72c9a600adea 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
@@ -487,4 +487,19 @@ class ParametersSuite extends QueryTest with SharedSparkSession {
         start = 7,
         stop = 13))
   }
+
+  test("SPARK-44680: parameters in DEFAULT") {
+    checkError(
+      exception = intercept[AnalysisException] {
+        spark.sql(
+          "CREATE TABLE t11(c1 int default :parm) USING parquet",
+          args = Map("parm" -> 5))
+      },
+      errorClass = "UNSUPPORTED_FEATURE.PARAMETER_MARKER_IN_UNEXPECTED_STATEMENT",
+      parameters = Map("statement" -> "DEFAULT"),
+      context = ExpectedContext(
+        fragment = "default :parm",
+        start = 24,
+        stop = 36))
+  }
 }

From c2f5a42ee213db82b6ff9d4b99e9ca5de2b69a6c Mon Sep 17 00:00:00 2001
From: vicennial <venkata.gudesa@databricks.com>
Date: Tue, 8 Aug 2023 17:30:16 +0900
Subject: [PATCH 187/986] [SPARK-44657][CONNECT] Fix incorrect limit handling
 in ArrowBatchWithSchemaIterator and config parsing of
 CONNECT_GRPC_ARROW_MAX_BATCH_SIZE
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Fixes the limit checking of `maxEstimatedBatchSize` and `maxRecordsPerBatch` to respect the more restrictive limit and fixes the config parsing of `CONNECT_GRPC_ARROW_MAX_BATCH_SIZE` by converting the value to bytes.

### Why are the changes needed?

Bugfix.
In the arrow writer [code](https://github.com/apache/spark/blob/6161bf44f40f8146ea4c115c788fd4eaeb128769/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala#L154-L163) , the conditions don’t seem to hold what the documentation says regd "maxBatchSize and maxRecordsPerBatch, respect whatever smaller" since it seems to actually respect the conf which is "larger" (i.e less restrictive) due to || operator.

Further, when the `CONNECT_GRPC_ARROW_MAX_BATCH_SIZE` conf is read, the value is not converted to bytes from MiB ([example](https://github.com/apache/spark/blob/3e5203c64c06cc8a8560dfa0fb6f52e74589b583/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala#L103)).

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests.

Closes #42321 from vicennial/SPARK-44657.

Authored-by: vicennial <venkata.gudesa@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f9d417fc17a82ddf02d6bbab82abc8e1aa264356)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/connect/config/Connect.scala    | 10 +--
 .../planner/SparkConnectServiceSuite.scala    | 61 +++++++++++++++++++
 .../sql/execution/arrow/ArrowConverters.scala | 21 ++++---
 3 files changed, 79 insertions(+), 13 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index ac6de8f612a86..767b98983c4b5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -43,12 +43,12 @@ object Connect {
   val CONNECT_GRPC_ARROW_MAX_BATCH_SIZE =
     ConfigBuilder("spark.connect.grpc.arrow.maxBatchSize")
       .doc(
-        "When using Apache Arrow, limit the maximum size of one arrow batch that " +
-          "can be sent from server side to client side. Currently, we conservatively use 70% " +
-          "of it because the size is not accurate but estimated.")
+        "When using Apache Arrow, limit the maximum size of one arrow batch, in bytes unless " +
+          "otherwise specified, that can be sent from server side to client side. Currently, we " +
+          "conservatively use 70% of it because the size is not accurate but estimated.")
       .version("3.4.0")
-      .bytesConf(ByteUnit.MiB)
-      .createWithDefaultString("4m")
+      .bytesConf(ByteUnit.BYTE)
+      .createWithDefault(4 * 1024 * 1024)
 
   val CONNECT_GRPC_MAX_INBOUND_MESSAGE_SIZE =
     ConfigBuilder("spark.connect.grpc.maxInboundMessageSize")
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index e833d12c4f595..285f3103b190b 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -238,6 +238,67 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
     }
   }
 
+  test("SPARK-44657: Arrow batches respect max batch size limit") {
+    // Set 10 KiB as the batch size limit
+    val batchSize = 10 * 1024
+    withSparkConf("spark.connect.grpc.arrow.maxBatchSize" -> batchSize.toString) {
+      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
+      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
+      val instance = new SparkConnectService(false)
+      val connect = new MockRemoteSession()
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+      val plan = proto.Plan
+        .newBuilder()
+        .setRoot(connect.sql("select * from range(0, 15000, 1, 1)"))
+        .build()
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setUserContext(context)
+        .setSessionId(UUID.randomUUID.toString())
+        .build()
+
+      // Execute plan.
+      @volatile var done = false
+      val responses = mutable.Buffer.empty[proto.ExecutePlanResponse]
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            responses += v
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            throw throwable
+          }
+
+          override def onCompleted(): Unit = {
+            done = true
+          }
+        })
+      // The current implementation is expected to be blocking. This is here to make sure it is.
+      assert(done)
+
+      // 1 schema + 1 metric + at least 2 data batches
+      assert(responses.size > 3)
+
+      val allocator = new RootAllocator()
+
+      // Check the 'data' batches
+      responses.tail.dropRight(1).foreach { response =>
+        assert(response.hasArrowBatch)
+        val batch = response.getArrowBatch
+        assert(batch.getData != null)
+        // Batch size must be <= 70% since we intentionally use this multiplier for the size
+        // estimator.
+        assert(batch.getData.size() <= batchSize * 0.7)
+      }
+    }
+  }
+
   gridTest("SPARK-43923: commands send events")(
     Seq(
       proto.Command
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
index 59d931bbe4849..86dd7984b5859 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
@@ -150,17 +150,22 @@ private[sql] object ArrowConverters extends Logging {
         // Always write the schema.
         MessageSerializer.serialize(writeChannel, arrowSchema)
 
+        def isBatchSizeLimitExceeded: Boolean = {
+          // If `maxEstimatedBatchSize` is zero or negative, it implies unlimited.
+          maxEstimatedBatchSize > 0 && estimatedBatchSize >= maxEstimatedBatchSize
+        }
+        def isRecordLimitExceeded: Boolean = {
+          // If `maxRecordsPerBatch` is zero or negative, it implies unlimited.
+          maxRecordsPerBatch > 0 && rowCountInLastBatch >= maxRecordsPerBatch
+        }
         // Always write the first row.
         while (rowIter.hasNext && (
-          // For maxBatchSize and maxRecordsPerBatch, respect whatever smaller.
           // If the size in bytes is positive (set properly), always write the first row.
-          rowCountInLastBatch == 0 && maxEstimatedBatchSize > 0 ||
-            // If the size in bytes of rows are 0 or negative, unlimit it.
-            estimatedBatchSize <= 0 ||
-            estimatedBatchSize < maxEstimatedBatchSize ||
-            // If the size of rows are 0 or negative, unlimit it.
-            maxRecordsPerBatch <= 0 ||
-            rowCountInLastBatch < maxRecordsPerBatch)) {
+          (rowCountInLastBatch == 0 && maxEstimatedBatchSize > 0) ||
+            // If either limit is hit, create a batch. This implies that the limit that is hit first
+            // triggers the creation of a batch even if the other limit is not yet hit, hence
+            // preferring the more restrictive limit.
+            (!isBatchSizeLimitExceeded && !isRecordLimitExceeded))) {
           val row = rowIter.next()
           arrowWriter.write(row)
           estimatedBatchSize += (row match {

From 763c448759df02a5370b8b50cb877f855c4eda10 Mon Sep 17 00:00:00 2001
From: Xinyi Yu <xinyi.yu@databricks.com>
Date: Tue, 8 Aug 2023 17:07:04 +0800
Subject: [PATCH 188/986] [SPARK-44714] Ease restriction of LCA resolution
 regarding queries with having

### What changes were proposed in this pull request?
This PR eases some restriction of LCA resolution regarding queries with having.

Previously LCA won't rewrite (to the new plan shape) when the whole queries contains `UnresolvedHaving`, in case it breaks the plan shape of `UnresolvedHaving - Aggregate` that can be recognized by other rules. But this limitation is too strict and it causes some deadlock in having - lca - window queries. See https://issues.apache.org/jira/browse/SPARK-42936 for more details and examples.

With this PR, it will only skip LCA resolution on the `Aggregate` whose direct parent is `UnresolvedHaving`. This is enabled by a new bottom-up resolution without using the transform or resolve utility function.

This PR also recognizes a vulnerability related to `TEMP_RESOVLED_COLUMN` and comments in the code. It should be considered as future work.

### Why are the changes needed?
More complete functionality and better user experience.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
New tests.

Closes #42276 from anchovYu/lca-limitation-better-error.

Authored-by: Xinyi Yu <xinyi.yu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 29e8331681c6214390f426806d19ee9673b073e1)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      |   2 +
 .../ResolveLateralColumnAliasReference.scala  | 200 ++++++++++--------
 .../spark/sql/LateralColumnAliasSuite.scala   | 145 +++++++++++++
 3 files changed, 261 insertions(+), 86 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 09467c22e2b03..6c5d19f58ac25 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -285,6 +285,8 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       AddMetadataColumns ::
       DeduplicateRelations ::
       ResolveReferences ::
+      // Please do not insert any other rules in between. See the TODO comments in rule
+      // ResolveLateralColumnAliasReference for more details.
       ResolveLateralColumnAliasReference ::
       ResolveExpressionsWithNamePlaceholders ::
       ResolveDeserializer ::
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
index 5d89de0008478..c249a3506f2d0 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
@@ -22,7 +22,7 @@ import org.apache.spark.sql.catalyst.expressions.WindowExpression.hasWindowExpre
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.catalyst.trees.TreePattern.{LATERAL_COLUMN_ALIAS_REFERENCE, TEMP_RESOLVED_COLUMN, UNRESOLVED_HAVING}
+import org.apache.spark.sql.catalyst.trees.TreePattern.{LATERAL_COLUMN_ALIAS_REFERENCE, TEMP_RESOLVED_COLUMN}
 import org.apache.spark.sql.catalyst.util.toPrettySQL
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf
@@ -131,95 +131,97 @@ object ResolveLateralColumnAliasReference extends Rule[LogicalPlan] {
       (pList.exists(hasWindowExpression) && p.expressions.forall(_.resolved) && p.childrenResolved)
   }
 
-  override def apply(plan: LogicalPlan): LogicalPlan = {
-    if (!conf.getConf(SQLConf.LATERAL_COLUMN_ALIAS_IMPLICIT_ENABLED)) {
-      plan
-    } else if (plan.containsAnyPattern(TEMP_RESOLVED_COLUMN, UNRESOLVED_HAVING)) {
-      // It should not change the plan if `TempResolvedColumn` or `UnresolvedHaving` is present in
-      // the query plan. These plans need certain plan shape to get recognized and resolved by other
-      // rules, such as Filter/Sort + Aggregate to be matched by ResolveAggregateFunctions.
-      // LCA resolution can break the plan shape, like adding Project above Aggregate.
-      plan
-    } else {
-      // phase 2: unwrap
-      plan.resolveOperatorsUpWithPruning(
-        _.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE), ruleId) {
-        case p @ Project(projectList, child) if ruleApplicableOnOperator(p, projectList)
-          && projectList.exists(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) =>
-          var aliasMap = AttributeMap.empty[AliasEntry]
-          val referencedAliases = collection.mutable.Set.empty[AliasEntry]
-          def unwrapLCAReference(e: NamedExpression): NamedExpression = {
-            e.transformWithPruning(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) {
-              case lcaRef: LateralColumnAliasReference if aliasMap.contains(lcaRef.a) =>
-                val aliasEntry = aliasMap.get(lcaRef.a).get
-                // If there is no chaining of lateral column alias reference, push down the alias
-                // and unwrap the LateralColumnAliasReference to the NamedExpression inside
-                // If there is chaining, don't resolve and save to future rounds
-                if (!aliasEntry.alias.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) {
-                  referencedAliases += aliasEntry
-                  lcaRef.ne
-                } else {
-                  lcaRef
-                }
-              case lcaRef: LateralColumnAliasReference if !aliasMap.contains(lcaRef.a) =>
-                // It shouldn't happen, but restore to unresolved attribute to be safe.
-                UnresolvedAttribute(lcaRef.nameParts)
-            }.asInstanceOf[NamedExpression]
-          }
-          val newProjectList = projectList.zipWithIndex.map {
-            case (a: Alias, idx) =>
-              val lcaResolved = unwrapLCAReference(a)
-              // Insert the original alias instead of rewritten one to detect chained LCA
-              aliasMap += (a.toAttribute -> AliasEntry(a, idx))
-              lcaResolved
-            case (e, _) =>
-              unwrapLCAReference(e)
-          }
+  /** Internal application method. A hand-written bottom-up recursive traverse. */
+  private def apply0(plan: LogicalPlan): LogicalPlan = {
+    plan match {
+      case p: LogicalPlan if !p.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE) =>
+        p
 
-          if (referencedAliases.isEmpty) {
-            p
-          } else {
-            val outerProjectList = collection.mutable.Seq(newProjectList: _*)
-            val innerProjectList =
-              collection.mutable.ArrayBuffer(child.output.map(_.asInstanceOf[NamedExpression]): _*)
-            referencedAliases.foreach { case AliasEntry(alias: Alias, idx) =>
-              outerProjectList.update(idx, alias.toAttribute)
-              innerProjectList += alias
-            }
-            p.copy(
-              projectList = outerProjectList.toSeq,
-              child = Project(innerProjectList.toSeq, child)
-            )
-          }
+      // It should not change the Aggregate (and thus the plan shape) if its parent is an
+      // UnresolvedHaving, to avoid breaking the shape pattern `UnresolvedHaving - Aggregate`
+      // matched by ResolveAggregateFunctions. See SPARK-42936 and SPARK-44714 for more details.
+      case u @ UnresolvedHaving(_, agg: Aggregate) =>
+        u.copy(child = agg.mapChildren(apply0))
 
-        case agg @ Aggregate(groupingExpressions, aggregateExpressions, _)
-          if ruleApplicableOnOperator(agg, aggregateExpressions)
-            && aggregateExpressions.exists(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) =>
+      case pOriginal: Project if ruleApplicableOnOperator(pOriginal, pOriginal.projectList)
+          && pOriginal.projectList.exists(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) =>
+        val p @ Project(projectList, child) = pOriginal.mapChildren(apply0)
+        var aliasMap = AttributeMap.empty[AliasEntry]
+        val referencedAliases = collection.mutable.Set.empty[AliasEntry]
+        def unwrapLCAReference(e: NamedExpression): NamedExpression = {
+          e.transformWithPruning(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) {
+            case lcaRef: LateralColumnAliasReference if aliasMap.contains(lcaRef.a) =>
+              val aliasEntry = aliasMap.get(lcaRef.a).get
+              // If there is no chaining of lateral column alias reference, push down the alias
+              // and unwrap the LateralColumnAliasReference to the NamedExpression inside
+              // If there is chaining, don't resolve and save to future rounds
+              if (!aliasEntry.alias.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) {
+                referencedAliases += aliasEntry
+                lcaRef.ne
+              } else {
+                lcaRef
+              }
+            case lcaRef: LateralColumnAliasReference if !aliasMap.contains(lcaRef.a) =>
+              // It shouldn't happen, but restore to unresolved attribute to be safe.
+              UnresolvedAttribute(lcaRef.nameParts)
+          }.asInstanceOf[NamedExpression]
+        }
+        val newProjectList = projectList.zipWithIndex.map {
+          case (a: Alias, idx) =>
+            val lcaResolved = unwrapLCAReference(a)
+            // Insert the original alias instead of rewritten one to detect chained LCA
+            aliasMap += (a.toAttribute -> AliasEntry(a, idx))
+            lcaResolved
+          case (e, _) =>
+            unwrapLCAReference(e)
+        }
 
-          // Check if current Aggregate is eligible to lift up with Project: the aggregate
-          // expression only contains: 1) aggregate functions, 2) grouping expressions, 3) leaf
-          // expressions excluding attributes not in grouping expressions
-          // This check is to prevent unnecessary transformation on invalid plan, to guarantee it
-          // throws the same exception. For example, cases like non-aggregate expressions not
-          // in group by, once transformed, will throw a different exception: missing input.
-          def eligibleToLiftUp(exp: Expression): Boolean = {
-            exp match {
-              case _: AggregateExpression => true
-              case e if groupingExpressions.exists(_.semanticEquals(e)) => true
-              case a: Attribute => false
-              case s: ScalarSubquery if s.children.nonEmpty
-                && !groupingExpressions.exists(_.semanticEquals(s)) => false
-              // Manually skip detection on function itself because it can be an aggregate function.
-              // This is to avoid expressions like sum(salary) over () eligible to lift up.
-              case WindowExpression(function, spec) =>
-                function.children.forall(eligibleToLiftUp) && eligibleToLiftUp(spec)
-              case e => e.children.forall(eligibleToLiftUp)
-            }
-          }
-          if (!aggregateExpressions.forall(eligibleToLiftUp)) {
-            return agg
+        if (referencedAliases.isEmpty) {
+          p
+        } else {
+          val outerProjectList = collection.mutable.Seq(newProjectList: _*)
+          val innerProjectList =
+            collection.mutable.ArrayBuffer(child.output.map(_.asInstanceOf[NamedExpression]): _*)
+          referencedAliases.foreach { case AliasEntry(alias: Alias, idx) =>
+            outerProjectList.update(idx, alias.toAttribute)
+            innerProjectList += alias
           }
+          p.copy(
+            projectList = outerProjectList.toSeq,
+            child = Project(innerProjectList.toSeq, child)
+          )
+        }
+
+      case aggOriginal: Aggregate
+        if ruleApplicableOnOperator(aggOriginal, aggOriginal.aggregateExpressions)
+          && aggOriginal.aggregateExpressions.exists(
+            _.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE)) =>
+        val agg @ Aggregate(groupingExpressions, aggregateExpressions, _) =
+          aggOriginal.mapChildren(apply0)
 
+        // Check if current Aggregate is eligible to lift up with Project: the aggregate
+        // expression only contains: 1) aggregate functions, 2) grouping expressions, 3) leaf
+        // expressions excluding attributes not in grouping expressions
+        // This check is to prevent unnecessary transformation on invalid plan, to guarantee it
+        // throws the same exception. For example, cases like non-aggregate expressions not
+        // in group by, once transformed, will throw a different exception: missing input.
+        def eligibleToLiftUp(exp: Expression): Boolean = {
+          exp match {
+            case _: AggregateExpression => true
+            case e if groupingExpressions.exists(_.semanticEquals(e)) => true
+            case a: Attribute => false
+            case s: ScalarSubquery if s.children.nonEmpty
+              && !groupingExpressions.exists(_.semanticEquals(s)) => false
+            // Manually skip detection on function itself because it can be an aggregate function.
+            // This is to avoid expressions like sum(salary) over () eligible to lift up.
+            case WindowExpression(function, spec) =>
+              function.children.forall(eligibleToLiftUp) && eligibleToLiftUp(spec)
+            case e => e.children.forall(eligibleToLiftUp)
+          }
+        }
+        if (!aggregateExpressions.forall(eligibleToLiftUp)) {
+          agg
+        } else {
           val newAggExprs = collection.mutable.Set.empty[NamedExpression]
           val expressionMap = collection.mutable.LinkedHashMap.empty[Expression, NamedExpression]
           // Extract the expressions to keep in the Aggregate. Return the transformed expression
@@ -262,7 +264,33 @@ object ResolveLateralColumnAliasReference extends Rule[LogicalPlan] {
             projectList = projectExprs,
             child = agg.copy(aggregateExpressions = newAggExprs.toSeq)
           )
-      }
+        }
+
+      case p: LogicalPlan =>
+        p.mapChildren(apply0)
+    }
+  }
+
+  override def apply(plan: LogicalPlan): LogicalPlan = {
+    if (!conf.getConf(SQLConf.LATERAL_COLUMN_ALIAS_IMPLICIT_ENABLED)) {
+      plan
+    } else if (plan.containsAnyPattern(TEMP_RESOLVED_COLUMN)) {
+      // It should not change the plan if `TempResolvedColumn` is present in the query plan. These
+      // plans need certain plan shape to get recognized and resolved by other rules, such as
+      // Filter/Sort + Aggregate to be matched by ResolveAggregateFunctions. LCA resolution can
+      // break the plan shape, like adding Project above Aggregate.
+      // TODO: this condition only guarantees to keep the shape after the plan has
+      //  `TempResolvedColumn`. However, it does not consider the case of breaking the shape even
+      //  before `TempResolvedColumn` is generated by matching Filter/Sort - Aggregate in
+      //  ResolveReferences. Currently the correctness of this case now relies on the rule
+      //  application order, that ResolveReference is right before the application of
+      //  ResolveLateralColumnAliasReference. The condition in the two rules guarantees that the
+      //  case can never happen. We should consider to remove this order dependency but still assure
+      //  correctness in the future.
+      plan
+    } else {
+      // phase 2: unwrap
+      apply0(plan)
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
index 1e3a0d70c7fd6..cc4aeb42326f8 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
@@ -669,6 +669,20 @@ class LateralColumnAliasSuite extends LateralColumnAliasSuiteBase {
         s"FROM $testTable GROUP BY dept ORDER BY max(name)"),
       Row(1, 1) :: Row(2, 2) :: Row(6, 6) :: Nil
     )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + 10 FROM employee GROUP BY dept ORDER BY max(name)"),
+      Row(1, 9500, 9510) :: Row(2, 11000, 11010) :: Row(6, 12000, 12010) :: Nil
+    )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + 10 AS b " +
+        "FROM employee GROUP BY dept ORDER BY max(name)"),
+      Row(1, 9500, 9510) :: Row(2, 11000, 11010) :: Row(6, 12000, 12010) :: Nil
+    )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + cast(10 as double) AS b " +
+        "FROM employee GROUP BY dept ORDER BY max(name)"),
+      Row(1, 9500, 9510) :: Row(2, 11000, 11010) :: Row(6, 12000, 12010) :: Nil
+    )
 
     // having cond is resolved by aggregate's child
     checkAnswer(
@@ -676,6 +690,21 @@ class LateralColumnAliasSuite extends LateralColumnAliasSuiteBase {
         s"FROM $testTable GROUP BY dept HAVING max(name) = 'david'"),
       Row(1250, 2, 11000, 11010) :: Nil
     )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + 10 " +
+        "FROM employee GROUP BY dept HAVING max(bonus) > 1200"),
+      Row(2, 11000, 11010) :: Nil
+    )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + 10 AS b " +
+        "FROM employee GROUP BY dept HAVING max(bonus) > 1200"),
+      Row(2, 11000, 11010) :: Nil
+    )
+    checkAnswer(
+      sql("SELECT dept, avg(salary) AS a, a + cast(10 as double) AS b " +
+        "FROM employee GROUP BY dept HAVING max(bonus) > 1200"),
+      Row(2, 11000, 11010) :: Nil
+    )
     // having cond is resolved by aggregate itself
     checkAnswer(
       sql(s"SELECT avg(bonus) AS a, a FROM $testTable GROUP BY dept HAVING a > 1200"),
@@ -1139,4 +1168,120 @@ class LateralColumnAliasSuite extends LateralColumnAliasSuiteBase {
     // non group by or non aggregate function in Aggregate queries negative cases are covered in
     // "Aggregate expressions not eligible to lift up, throws same error as inline".
   }
+
+  test("Still resolves when Aggregate with LCA is not the direct child of Having") {
+    // Previously there was a limitation of lca that it can't resolve the query when it satisfies
+    // all the following criteria:
+    //  1) the main (outer) query has having clause
+    //  2) there is a window expression in the query
+    //  3) in the same SELECT list as the window expression in 2), there is an lca
+    // Though [UNSUPPORTED_FEATURE.LATERAL_COLUMN_ALIAS_IN_AGGREGATE_WITH_WINDOW_AND_HAVING] is
+    // still not supported, after SPARK-44714, a lot other limitations are
+    // lifted because it allows to resolve LCA when the query has UnresolvedHaving but its direct
+    // child does not contain an LCA.
+    // Testcases in this test focus on this change regarding enablement of resolution.
+
+    // CTE definition contains window and LCA; outer query contains having
+    checkAnswer(
+      sql(
+        s"""
+           |with w as (
+           |  select name, dept, salary, rank() over (partition by dept order by salary) as r, r
+           |  from $testTable
+           |)
+           |select dept
+           |from w
+           |group by dept
+           |having max(salary) > 10000
+           |""".stripMargin),
+      Row(2) :: Row(6) :: Nil
+    )
+    checkAnswer(
+      sql(
+        s"""
+           |with w as (
+           |  select name, dept, salary, rank() over (partition by dept order by salary) as r, r
+           |  from $testTable
+           |)
+           |select dept as d, d
+           |from w
+           |group by dept
+           |having max(salary) > 10000
+           |""".stripMargin),
+      Row(2, 2) :: Row(6, 6) :: Nil
+    )
+    checkAnswer(
+      sql(
+        s"""
+           |with w as (
+           |  select name, dept, salary, rank() over (partition by dept order by salary) as r, r
+           |  from $testTable
+           |)
+           |select dept as d
+           |from w
+           |group by dept
+           |having d = 2
+           |""".stripMargin),
+      Row(2) :: Nil
+    )
+
+    // inner subquery contains window and LCA; outer query contains having
+    checkAnswer(
+      sql(
+        s"""
+          |SELECT
+          |  dept
+          |FROM
+          |   (
+          |    select
+          |      name, dept, salary, rank() over (partition by dept order by salary) as r,
+          |      1 as a, a + 1 as e
+          |    FROM
+          |      $testTable
+          |  ) AS inner_t
+          |GROUP BY
+          |  dept
+          |HAVING max(salary) > 10000
+          |""".stripMargin),
+      Row(2) :: Row(6) :: Nil
+    )
+    checkAnswer(
+      sql(
+        s"""
+           |SELECT
+           |  dept as d, d
+           |FROM
+           |   (
+           |    select
+           |      name, dept, salary, rank() over (partition by dept order by salary) as r,
+           |      1 as a, a + 1 as e
+           |    FROM
+           |      $testTable
+           |  ) AS inner_t
+           |GROUP BY
+           |  dept
+           |HAVING max(salary) > 10000
+           |""".stripMargin),
+      Row(2, 2) :: Row(6, 6) :: Nil
+    )
+    checkAnswer(
+      sql(
+        s"""
+           |SELECT
+           |  dept as d
+           |FROM
+           |   (
+           |    select
+           |      name, dept, salary, rank() over (partition by dept order by salary) as r,
+           |      1 as a, a + 1 as e
+           |    FROM
+           |      $testTable
+           |  ) AS inner_t
+           |GROUP BY
+           |  dept
+           |HAVING d = 2
+           |""".stripMargin),
+      Row(2) :: Nil
+    )
+  }
 }

From 0e252195635b51bcf62ead17e23af4d05b21e18c Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Tue, 8 Aug 2023 17:46:09 +0800
Subject: [PATCH 189/986] [SPARK-44236][SQL] Disable WholeStageCodegen when set
 `spark.sql.codegen.factoryMode` to NO_CODEGEN

### What changes were proposed in this pull request?
After #41467 , we fix the `CodegenInterpretedPlanTest ` will execute codeGen even set `spark.sql.codegen.factoryMode` to `NO_CODEGEN`. Before this PR, `spark.sql.codegen.factoryMode` can't disable WholeStageCodegen, many test case want to disable codegen by set  `spark.sql.codegen.factoryMode` to `NO_CODEGEN`, but it not work for WholeStageCodegen. So this PR change the `spark.sql.codegen.factoryMode` behavior, when set `NO_CODEGEN`, we will disable `WholeStageCodegen` too.

### Why are the changes needed?
Fix the `spark.sql.codegen.factoryMode` config behavior.

### Does this PR introduce _any_ user-facing change?
Yes, the config logic changed.

### How was this patch tested?
add new test.

Closes #41779 from Hisoka-X/SPARK-44236_wholecodegen_disable.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 74fa07c5702004ed2bcd83872687473122e13bab)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../CodeGeneratorWithInterpretedFallback.scala        |  3 +--
 .../scala/org/apache/spark/sql/internal/SQLConf.scala |  2 ++
 .../apache/spark/sql/catalyst/plans/PlanTest.scala    |  3 +--
 .../spark/sql/execution/WholeStageCodegenExec.scala   |  3 ++-
 .../spark/sql/execution/WholeStageCodegenSuite.scala  | 11 +++++++++++
 5 files changed, 17 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CodeGeneratorWithInterpretedFallback.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CodeGeneratorWithInterpretedFallback.scala
index 0509b852cfdde..62a1afecfd7f0 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CodeGeneratorWithInterpretedFallback.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CodeGeneratorWithInterpretedFallback.scala
@@ -38,8 +38,7 @@ abstract class CodeGeneratorWithInterpretedFallback[IN, OUT] extends Logging {
 
   def createObject(in: IN): OUT = {
     // We are allowed to choose codegen-only or no-codegen modes if under tests.
-    val config = SQLConf.get.getConf(SQLConf.CODEGEN_FACTORY_MODE)
-    val fallbackMode = CodegenObjectFactoryMode.withName(config)
+    val fallbackMode = CodegenObjectFactoryMode.withName(SQLConf.get.codegenFactoryMode)
 
     fallbackMode match {
       case CodegenObjectFactoryMode.CODEGEN_ONLY =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 083e88380c4db..9197d99b005de 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4682,6 +4682,8 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
 
   def codegenFallback: Boolean = getConf(CODEGEN_FALLBACK)
 
+  def codegenFactoryMode: String = getConf(CODEGEN_FACTORY_MODE)
+
   def codegenComments: Boolean = getConf(StaticSQLConf.CODEGEN_COMMENTS)
 
   def loggingMaxLinesForCodegen: Int = getConf(CODEGEN_LOGGING_MAX_LINES)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/plans/PlanTest.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/plans/PlanTest.scala
index ebf48c5f863d2..e90a956ab4fde 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/plans/PlanTest.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/plans/PlanTest.scala
@@ -47,8 +47,7 @@ trait CodegenInterpretedPlanTest extends PlanTest {
     super.test(testName + " (codegen path)", testTags: _*)(
       withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> codegenMode) { testFun })(pos)
     super.test(testName + " (interpreted path)", testTags: _*)(
-      withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> interpretedMode) {
-        withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") { testFun }})(pos)
+      withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> interpretedMode) { testFun })(pos)
   }
 
   protected def testFallback(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
index 5fc51cc6e310b..40de623f73d59 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
@@ -942,7 +942,8 @@ case class CollapseCodegenStages(
   }
 
   def apply(plan: SparkPlan): SparkPlan = {
-    if (conf.wholeStageEnabled) {
+    if (conf.wholeStageEnabled && CodegenObjectFactoryMode.withName(conf.codegenFactoryMode)
+      != CodegenObjectFactoryMode.NO_CODEGEN) {
       insertWholeStageCodegen(plan)
     } else {
       plan
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
index 0aaeedd5f06d1..5a413c77754f9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution
 
 import org.apache.spark.sql.{Dataset, QueryTest, Row, SaveMode}
+import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
 import org.apache.spark.sql.catalyst.expressions.codegen.{ByteCodeStats, CodeAndComment, CodeGenerator}
 import org.apache.spark.sql.execution.adaptive.DisableAdaptiveExecutionSuite
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, SortAggregateExec}
@@ -182,6 +183,16 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
       Seq(Row(0, 0, 0), Row(1, 1, 1), Row(2, 2, 2), Row(3, 3, 3), Row(4, 4, 4)))
   }
 
+  test("SPARK-44236: disable WholeStageCodegen when set spark.sql.codegen.factoryMode is " +
+    "NO_CODEGEN") {
+    withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> CodegenObjectFactoryMode.NO_CODEGEN.toString) {
+      val df = spark.range(10).select($"id" + 1)
+      val plan = df.queryExecution.executedPlan
+      assert(!plan.exists(_.isInstanceOf[WholeStageCodegenExec]))
+      checkAnswer(df, 1L to 10L map { i => Row(i) })
+    }
+  }
+
   test("Full Outer ShuffledHashJoin and SortMergeJoin should be included in WholeStageCodegen") {
     val df1 = spark.range(5).select($"id".as("k1"))
     val df2 = spark.range(10).select($"id".as("k2"))

From 5a71a2e4a3d6ad5c6393b64fb76f571051ee3c94 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 8 Aug 2023 04:15:07 +0200
Subject: [PATCH 190/986] [SPARK-43429][CONNECT] Add Default & Active
 SparkSession for Scala Client

### What changes were proposed in this pull request?
This adds the `default` and `active` session variables to `SparkSession`:
- `default` session is global value. It is typically the first session created through `getOrCreate`. It can be changed through `set` or `clear`. If the session is closed and it is the `default` session we clear the `default` session.
- `active` session is a thread local value. It is typically the first session created in this thread or it inherits is value from its parent thread. It can be changed through `set` or `clear`, please note that these methods operate thread locally, so they won't change the parent or children. If the session is closed and it is the `active` session for the current thread then we clear the active value (only for the current thread!).

### Why are the changes needed?
To increase compatibility with the existing SparkSession API in `sql/core`.

### Does this PR introduce _any_ user-facing change?
Yes. It adds a couple methods that were missing from the Scala Client.

### How was this patch tested?
Added tests to `SparkSessionSuite`.

Closes #42367 from hvanhovell/SPARK-43429.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 7493c5764f9644878babacccd4f688fe13ef84aa)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/SparkSession.scala   | 100 ++++++++++--
 .../apache/spark/sql/SparkSessionSuite.scala  | 144 ++++++++++++++++--
 .../CheckConnectJvmClientCompatibility.scala  |   2 -
 3 files changed, 225 insertions(+), 21 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 355d7edadc788..7367ed153f7db 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql
 import java.io.Closeable
 import java.net.URI
 import java.util.concurrent.TimeUnit._
-import java.util.concurrent.atomic.AtomicLong
+import java.util.concurrent.atomic.{AtomicLong, AtomicReference}
 
 import scala.collection.JavaConverters._
 import scala.reflect.runtime.universe.TypeTag
@@ -730,6 +730,23 @@ object SparkSession extends Logging {
       override def load(c: Configuration): SparkSession = create(c)
     })
 
+  /** The active SparkSession for the current thread. */
+  private val activeThreadSession = new InheritableThreadLocal[SparkSession]
+
+  /** Reference to the root SparkSession. */
+  private val defaultSession = new AtomicReference[SparkSession]
+
+  /**
+   * Set the (global) default [[SparkSession]], and (thread-local) active [[SparkSession]] when
+   * they are not set yet.
+   */
+  private def setDefaultAndActiveSession(session: SparkSession): Unit = {
+    defaultSession.compareAndSet(null, session)
+    if (getActiveSession.isEmpty) {
+      setActiveSession(session)
+    }
+  }
+
   /**
    * Create a new [[SparkSession]] based on the connect client [[Configuration]].
    */
@@ -742,8 +759,17 @@ object SparkSession extends Logging {
    */
   private[sql] def onSessionClose(session: SparkSession): Unit = {
     sessions.invalidate(session.client.configuration)
+    defaultSession.compareAndSet(session, null)
+    if (getActiveSession.contains(session)) {
+      clearActiveSession()
+    }
   }
 
+  /**
+   * Creates a [[SparkSession.Builder]] for constructing a [[SparkSession]].
+   *
+   * @since 3.4.0
+   */
   def builder(): Builder = new Builder()
 
   private[sql] lazy val cleaner = {
@@ -799,10 +825,15 @@ object SparkSession extends Logging {
      *
      * This will always return a newly created session.
      *
+     * This method will update the default and/or active session if they are not set.
+     *
      * @since 3.5.0
      */
     def create(): SparkSession = {
-      tryCreateSessionFromClient().getOrElse(SparkSession.this.create(builder.configuration))
+      val session = tryCreateSessionFromClient()
+        .getOrElse(SparkSession.this.create(builder.configuration))
+      setDefaultAndActiveSession(session)
+      session
     }
 
     /**
@@ -811,30 +842,79 @@ object SparkSession extends Logging {
      * If a session exist with the same configuration that is returned instead of creating a new
      * session.
      *
+     * This method will update the default and/or active session if they are not set.
+     *
      * @since 3.5.0
      */
     def getOrCreate(): SparkSession = {
-      tryCreateSessionFromClient().getOrElse(sessions.get(builder.configuration))
+      val session = tryCreateSessionFromClient()
+        .getOrElse(sessions.get(builder.configuration))
+      setDefaultAndActiveSession(session)
+      session
     }
   }
 
-  def getActiveSession: Option[SparkSession] = {
-    throw new UnsupportedOperationException("getActiveSession is not supported")
+  /**
+   * Returns the default SparkSession.
+   *
+   * @since 3.5.0
+   */
+  def getDefaultSession: Option[SparkSession] = Option(defaultSession.get())
+
+  /**
+   * Sets the default SparkSession.
+   *
+   * @since 3.5.0
+   */
+  def setDefaultSession(session: SparkSession): Unit = {
+    defaultSession.set(session)
   }
 
-  def getDefaultSession: Option[SparkSession] = {
-    throw new UnsupportedOperationException("getDefaultSession is not supported")
+  /**
+   * Clears the default SparkSession.
+   *
+   * @since 3.5.0
+   */
+  def clearDefaultSession(): Unit = {
+    defaultSession.set(null)
   }
 
+  /**
+   * Returns the active SparkSession for the current thread.
+   *
+   * @since 3.5.0
+   */
+  def getActiveSession: Option[SparkSession] = Option(activeThreadSession.get())
+
+  /**
+   * Changes the SparkSession that will be returned in this thread and its children when
+   * SparkSession.getOrCreate() is called. This can be used to ensure that a given thread receives
+   * an isolated SparkSession.
+   *
+   * @since 3.5.0
+   */
   def setActiveSession(session: SparkSession): Unit = {
-    throw new UnsupportedOperationException("setActiveSession is not supported")
+    activeThreadSession.set(session)
   }
 
+  /**
+   * Clears the active SparkSession for current thread.
+   *
+   * @since 3.5.0
+   */
   def clearActiveSession(): Unit = {
-    throw new UnsupportedOperationException("clearActiveSession is not supported")
+    activeThreadSession.remove()
   }
 
+  /**
+   * Returns the currently active SparkSession, otherwise the default one. If there is no default
+   * SparkSession, throws an exception.
+   *
+   * @since 3.5.0
+   */
   def active: SparkSession = {
-    throw new UnsupportedOperationException("active is not supported")
+    getActiveSession
+      .orElse(getDefaultSession)
+      .getOrElse(throw new IllegalStateException("No active or default Spark session found"))
   }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
index 97fb46bf48af4..f06744399f833 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
@@ -16,6 +16,10 @@
  */
 package org.apache.spark.sql
 
+import java.util.concurrent.{Executors, Phaser}
+
+import scala.util.control.NonFatal
+
 import io.grpc.{CallOptions, Channel, ClientCall, ClientInterceptor, MethodDescriptor}
 
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
@@ -24,6 +28,10 @@ import org.apache.spark.sql.connect.client.util.ConnectFunSuite
  * Tests for non-dataframe related SparkSession operations.
  */
 class SparkSessionSuite extends ConnectFunSuite {
+  private val connectionString1: String = "sc://test.it:17845"
+  private val connectionString2: String = "sc://test.me:14099"
+  private val connectionString3: String = "sc://doit:16845"
+
   test("default") {
     val session = SparkSession.builder().getOrCreate()
     assert(session.client.configuration.host == "localhost")
@@ -32,16 +40,15 @@ class SparkSessionSuite extends ConnectFunSuite {
   }
 
   test("remote") {
-    val session = SparkSession.builder().remote("sc://test.me:14099").getOrCreate()
+    val session = SparkSession.builder().remote(connectionString2).getOrCreate()
     assert(session.client.configuration.host == "test.me")
     assert(session.client.configuration.port == 14099)
     session.close()
   }
 
   test("getOrCreate") {
-    val connectionString = "sc://test.it:17865"
-    val session1 = SparkSession.builder().remote(connectionString).getOrCreate()
-    val session2 = SparkSession.builder().remote(connectionString).getOrCreate()
+    val session1 = SparkSession.builder().remote(connectionString1).getOrCreate()
+    val session2 = SparkSession.builder().remote(connectionString1).getOrCreate()
     try {
       assert(session1 eq session2)
     } finally {
@@ -51,9 +58,8 @@ class SparkSessionSuite extends ConnectFunSuite {
   }
 
   test("create") {
-    val connectionString = "sc://test.it:17845"
-    val session1 = SparkSession.builder().remote(connectionString).create()
-    val session2 = SparkSession.builder().remote(connectionString).create()
+    val session1 = SparkSession.builder().remote(connectionString1).create()
+    val session2 = SparkSession.builder().remote(connectionString1).create()
     try {
       assert(session1 ne session2)
       assert(session1.client.configuration == session2.client.configuration)
@@ -64,8 +70,7 @@ class SparkSessionSuite extends ConnectFunSuite {
   }
 
   test("newSession") {
-    val connectionString = "sc://doit:16845"
-    val session1 = SparkSession.builder().remote(connectionString).create()
+    val session1 = SparkSession.builder().remote(connectionString3).create()
     val session2 = session1.newSession()
     try {
       assert(session1 ne session2)
@@ -92,5 +97,126 @@ class SparkSessionSuite extends ConnectFunSuite {
     assertThrows[RuntimeException] {
       session.range(10).count()
     }
+    session.close()
+  }
+
+  test("Default/Active session") {
+    // Make sure we start with a clean slate.
+    SparkSession.clearDefaultSession()
+    SparkSession.clearActiveSession()
+    assert(SparkSession.getDefaultSession.isEmpty)
+    assert(SparkSession.getActiveSession.isEmpty)
+    intercept[IllegalStateException](SparkSession.active)
+
+    // Create a session
+    val session1 = SparkSession.builder().remote(connectionString1).getOrCreate()
+    assert(SparkSession.getDefaultSession.contains(session1))
+    assert(SparkSession.getActiveSession.contains(session1))
+    assert(SparkSession.active == session1)
+
+    // Create another session...
+    val session2 = SparkSession.builder().remote(connectionString2).create()
+    assert(SparkSession.getDefaultSession.contains(session1))
+    assert(SparkSession.getActiveSession.contains(session1))
+    SparkSession.setActiveSession(session2)
+    assert(SparkSession.getDefaultSession.contains(session1))
+    assert(SparkSession.getActiveSession.contains(session2))
+
+    // Clear sessions
+    SparkSession.clearDefaultSession()
+    assert(SparkSession.getDefaultSession.isEmpty)
+    SparkSession.clearActiveSession()
+    assert(SparkSession.getDefaultSession.isEmpty)
+
+    // Flip sessions
+    SparkSession.setActiveSession(session1)
+    SparkSession.setDefaultSession(session2)
+    assert(SparkSession.getDefaultSession.contains(session2))
+    assert(SparkSession.getActiveSession.contains(session1))
+
+    // Close session1
+    session1.close()
+    assert(SparkSession.getDefaultSession.contains(session2))
+    assert(SparkSession.getActiveSession.isEmpty)
+
+    // Close session2
+    session2.close()
+    assert(SparkSession.getDefaultSession.isEmpty)
+    assert(SparkSession.getActiveSession.isEmpty)
+  }
+
+  test("active session in multiple threads") {
+    SparkSession.clearDefaultSession()
+    SparkSession.clearActiveSession()
+    val session1 = SparkSession.builder().remote(connectionString1).create()
+    val session2 = SparkSession.builder().remote(connectionString1).create()
+    SparkSession.setActiveSession(session2)
+    assert(SparkSession.getDefaultSession.contains(session1))
+    assert(SparkSession.getActiveSession.contains(session2))
+
+    val phaser = new Phaser(2)
+    val executor = Executors.newFixedThreadPool(2)
+    def execute(block: Phaser => Unit): java.util.concurrent.Future[Boolean] = {
+      executor.submit[Boolean] { () =>
+        try {
+          block(phaser)
+          true
+        } catch {
+          case NonFatal(e) =>
+            phaser.forceTermination()
+            throw e
+        }
+      }
+    }
+
+    try {
+      val script1 = execute { phaser =>
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.contains(session1))
+        assert(SparkSession.getActiveSession.contains(session2))
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.contains(session1))
+        assert(SparkSession.getActiveSession.contains(session2))
+        session1.close()
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.isEmpty)
+        assert(SparkSession.getActiveSession.contains(session2))
+        SparkSession.clearActiveSession()
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.isEmpty)
+        assert(SparkSession.getActiveSession.isEmpty)
+      }
+      val script2 = execute { phaser =>
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.contains(session1))
+        assert(SparkSession.getActiveSession.contains(session2))
+        SparkSession.clearActiveSession()
+        val internalSession = SparkSession.builder().remote(connectionString3).getOrCreate()
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.contains(session1))
+        assert(SparkSession.getActiveSession.contains(internalSession))
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.isEmpty)
+        assert(SparkSession.getActiveSession.contains(internalSession))
+
+        phaser.arriveAndAwaitAdvance()
+        assert(SparkSession.getDefaultSession.isEmpty)
+        assert(SparkSession.getActiveSession.contains(internalSession))
+        internalSession.close()
+        assert(SparkSession.getActiveSession.isEmpty)
+      }
+      assert(script1.get())
+      assert(script2.get())
+      assert(SparkSession.getActiveSession.contains(session2))
+      session2.close()
+      assert(SparkSession.getActiveSession.isEmpty)
+    } finally {
+      executor.shutdown()
+    }
   }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 6e577e0f21257..2bf9c41fb2cbd 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -207,8 +207,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.RelationalGroupedDataset.apply"),
 
       // SparkSession
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.clearDefaultSession"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.setDefaultSession"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.sparkContext"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.sharedState"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.sessionState"),

From 57554e3f081bbfa94ed5b46ff72616cc18e59da1 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 8 Aug 2023 15:04:07 +0200
Subject: [PATCH 191/986] [SPARK-44713][CONNECT][SQL] Move shared classes to
 sql/api

### What changes were proposed in this pull request?
This PR deduplicates the following classes:
- `org.apache.spark.sql.SaveMode`
- `org.apache.spark.api.java.function.FlatMapGroupsWithStateFunction`
- `org.apache.spark.api.java.function.MapGroupsWithStateFunction`
- `org.apache.spark.sql.streaming.GroupState`

These classes were all duplicates in the Scala Client. I have moved the original versions to `sql/api` and I removed the connect equivalents.

### Why are the changes needed?
Duplication is always good :).

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Compilation.

Closes #42386 from hvanhovell/SPARK-44713.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit c46d4caa59865e9b99e02f6adc79f49f9ebc8f7f)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../java/org/apache/spark/sql/SaveMode.java   |  58 ---
 .../FlatMapGroupsWithStateFunction.java       |  39 --
 .../function/MapGroupsWithStateFunction.java  |  38 --
 .../spark/sql/streaming/GroupState.scala      | 336 ------------------
 project/MimaExcludes.scala                    |  13 +-
 .../FlatMapGroupsWithStateFunction.java       |   0
 .../function/MapGroupsWithStateFunction.java  |   0
 .../java/org/apache/spark/sql/SaveMode.java   |   0
 .../spark/sql/streaming/GroupState.scala      |   0
 9 files changed, 6 insertions(+), 478 deletions(-)
 delete mode 100644 connector/connect/client/jvm/src/main/java/org/apache/spark/sql/SaveMode.java
 delete mode 100644 connector/connect/common/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
 delete mode 100644 connector/connect/common/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
 delete mode 100644 connector/connect/common/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala
 rename sql/{core => api}/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java (100%)
 rename sql/{core => api}/src/main/java/org/apache/spark/sql/SaveMode.java (100%)
 rename sql/{core => api}/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala (100%)

diff --git a/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/SaveMode.java b/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/SaveMode.java
deleted file mode 100644
index 95af157687c85..0000000000000
--- a/connector/connect/client/jvm/src/main/java/org/apache/spark/sql/SaveMode.java
+++ /dev/null
@@ -1,58 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package org.apache.spark.sql;
-
-import org.apache.spark.annotation.Stable;
-
-/**
- * SaveMode is used to specify the expected behavior of saving a DataFrame to a data source.
- *
- * @since 3.4.0
- */
-@Stable
-public enum SaveMode {
-  /**
-   * Append mode means that when saving a DataFrame to a data source, if data/table already exists,
-   * contents of the DataFrame are expected to be appended to existing data.
-   *
-   * @since 3.4.0
-   */
-  Append,
-  /**
-   * Overwrite mode means that when saving a DataFrame to a data source,
-   * if data/table already exists, existing data is expected to be overwritten by the contents of
-   * the DataFrame.
-   *
-   * @since 3.4.0
-   */
-  Overwrite,
-  /**
-   * ErrorIfExists mode means that when saving a DataFrame to a data source, if data already exists,
-   * an exception is expected to be thrown.
-   *
-   * @since 3.4.0
-   */
-  ErrorIfExists,
-  /**
-   * Ignore mode means that when saving a DataFrame to a data source, if data already exists,
-   * the save operation is expected to not save the contents of the DataFrame and to not
-   * change the existing data.
-   *
-   * @since 3.4.0
-   */
-  Ignore
-}
diff --git a/connector/connect/common/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java b/connector/connect/common/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
deleted file mode 100644
index c917c8d28be04..0000000000000
--- a/connector/connect/common/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
+++ /dev/null
@@ -1,39 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.api.java.function;
-
-import java.io.Serializable;
-import java.util.Iterator;
-
-import org.apache.spark.annotation.Evolving;
-import org.apache.spark.annotation.Experimental;
-import org.apache.spark.sql.streaming.GroupState;
-
-/**
- * ::Experimental::
- * Base interface for a map function used in
- * {@code org.apache.spark.sql.KeyValueGroupedDataset.flatMapGroupsWithState(
- * FlatMapGroupsWithStateFunction, org.apache.spark.sql.streaming.OutputMode,
- * org.apache.spark.sql.Encoder, org.apache.spark.sql.Encoder)}
- * @since 3.5.0
- */
-@Experimental
-@Evolving
-public interface FlatMapGroupsWithStateFunction<K, V, S, R> extends Serializable {
-    Iterator<R> call(K key, Iterator<V> values, GroupState<S> state) throws Exception;
-}
diff --git a/connector/connect/common/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java b/connector/connect/common/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
deleted file mode 100644
index ae179ad7d276f..0000000000000
--- a/connector/connect/common/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
+++ /dev/null
@@ -1,38 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.api.java.function;
-
-import java.io.Serializable;
-import java.util.Iterator;
-
-import org.apache.spark.annotation.Evolving;
-import org.apache.spark.annotation.Experimental;
-import org.apache.spark.sql.streaming.GroupState;
-
-/**
- * ::Experimental::
- * Base interface for a map function used in
- * {@code org.apache.spark.sql.KeyValueGroupedDataset.mapGroupsWithState(
- * MapGroupsWithStateFunction, org.apache.spark.sql.Encoder, org.apache.spark.sql.Encoder)}
- * @since 3.5.0
- */
-@Experimental
-@Evolving
-public interface MapGroupsWithStateFunction<K, V, S, R> extends Serializable {
-    R call(K key, Iterator<V> values, GroupState<S> state) throws Exception;
-}
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala
deleted file mode 100644
index bd418a89534ad..0000000000000
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala
+++ /dev/null
@@ -1,336 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.streaming
-
-import org.apache.spark.annotation.{Evolving, Experimental}
-import org.apache.spark.sql.catalyst.plans.logical.LogicalGroupState
-
-/**
- * :: Experimental ::
- *
- * Wrapper class for interacting with per-group state data in `mapGroupsWithState` and
- * `flatMapGroupsWithState` operations on `KeyValueGroupedDataset`.
- *
- * Detail description on `[map/flatMap]GroupsWithState` operation
- * -------------------------------------------------------------- Both, `mapGroupsWithState` and
- * `flatMapGroupsWithState` in `KeyValueGroupedDataset` will invoke the user-given function on
- * each group (defined by the grouping function in `Dataset.groupByKey()`) while maintaining a
- * user-defined per-group state between invocations. For a static batch Dataset, the function will
- * be invoked once per group. For a streaming Dataset, the function will be invoked for each group
- * repeatedly in every trigger. That is, in every batch of the `StreamingQuery`, the function will
- * be invoked once for each group that has data in the trigger. Furthermore, if timeout is set,
- * then the function will be invoked on timed-out groups (more detail below).
- *
- * The function is invoked with the following parameters.
- *   - The key of the group.
- *   - An iterator containing all the values for this group.
- *   - A user-defined state object set by previous invocations of the given function.
- *
- * In case of a batch Dataset, there is only one invocation and the state object will be empty as
- * there is no prior state. Essentially, for batch Datasets, `[map/flatMap]GroupsWithState` is
- * equivalent to `[map/flatMap]Groups` and any updates to the state and/or timeouts have no
- * effect.
- *
- * The major difference between `mapGroupsWithState` and `flatMapGroupsWithState` is that the
- * former allows the function to return one and only one record, whereas the latter allows the
- * function to return any number of records (including no records). Furthermore, the
- * `flatMapGroupsWithState` is associated with an operation output mode, which can be either
- * `Append` or `Update`. Semantically, this defines whether the output records of one trigger is
- * effectively replacing the previously output records (from previous triggers) or is appending to
- * the list of previously output records. Essentially, this defines how the Result Table (refer to
- * the semantics in the programming guide) is updated, and allows us to reason about the semantics
- * of later operations.
- *
- * Important points to note about the function (both mapGroupsWithState and
- * flatMapGroupsWithState).
- *   - In a trigger, the function will be called only the groups present in the batch. So do not
- *     assume that the function will be called in every trigger for every group that has state.
- *   - There is no guaranteed ordering of values in the iterator in the function, neither with
- *     batch, nor with streaming Datasets.
- *   - All the data will be shuffled before applying the function.
- *   - If timeout is set, then the function will also be called with no values. See more details
- *     on `GroupStateTimeout` below.
- *
- * Important points to note about using `GroupState`.
- *   - The value of the state cannot be null. So updating state with null will throw
- *     `IllegalArgumentException`.
- *   - Operations on `GroupState` are not thread-safe. This is to avoid memory barriers.
- *   - If `remove()` is called, then `exists()` will return `false`, `get()` will throw
- *     `NoSuchElementException` and `getOption()` will return `None`
- *   - After that, if `update(newState)` is called, then `exists()` will again return `true`,
- *     `get()` and `getOption()`will return the updated value.
- *
- * Important points to note about using `GroupStateTimeout`.
- *   - The timeout type is a global param across all the groups (set as `timeout` param in
- *     `[map|flatMap]GroupsWithState`, but the exact timeout duration/timestamp is configurable
- *     per group by calling `setTimeout...()` in `GroupState`.
- *   - Timeouts can be either based on processing time (i.e.
- *     `GroupStateTimeout.ProcessingTimeTimeout`) or event time (i.e.
- *     `GroupStateTimeout.EventTimeTimeout`).
- *   - With `ProcessingTimeTimeout`, the timeout duration can be set by calling
- *     `GroupState.setTimeoutDuration`. The timeout will occur when the clock has advanced by the
- *     set duration. Guarantees provided by this timeout with a duration of D ms are as follows:
- *     - Timeout will never occur before the clock time has advanced by D ms
- *     - Timeout will occur eventually when there is a trigger in the query (i.e. after D ms). So
- *       there is no strict upper bound on when the timeout would occur. For example, the trigger
- *       interval of the query will affect when the timeout actually occurs. If there is no data
- *       in the stream (for any group) for a while, then there will not be any trigger and timeout
- *       function call will not occur until there is data.
- *     - Since the processing time timeout is based on the clock time, it is affected by the
- *       variations in the system clock (i.e. time zone changes, clock skew, etc.).
- *   - With `EventTimeTimeout`, the user also has to specify the event time watermark in the query
- *     using `Dataset.withWatermark()`. With this setting, data that is older than the watermark
- *     is filtered out. The timeout can be set for a group by setting a timeout timestamp
- *     using`GroupState.setTimeoutTimestamp()`, and the timeout would occur when the watermark
- *     advances beyond the set timestamp. You can control the timeout delay by two parameters -
- *     (i) watermark delay and an additional duration beyond the timestamp in the event (which is
- *     guaranteed to be newer than watermark due to the filtering). Guarantees provided by this
- *     timeout are as follows:
- *     - Timeout will never occur before the watermark has exceeded the set timeout.
- *     - Similar to processing time timeouts, there is no strict upper bound on the delay when the
- *       timeout actually occurs. The watermark can advance only when there is data in the stream
- *       and the event time of the data has actually advanced.
- *   - When the timeout occurs for a group, the function is called for that group with no values,
- *     and `GroupState.hasTimedOut()` set to true.
- *   - The timeout is reset every time the function is called on a group, that is, when the group
- *     has new data, or the group has timed out. So the user has to set the timeout duration every
- *     time the function is called, otherwise, there will not be any timeout set.
- *
- * `[map/flatMap]GroupsWithState` can take a user defined initial state as an additional argument.
- * This state will be applied when the first batch of the streaming query is processed. If there
- * are no matching rows in the data for the keys present in the initial state, the state is still
- * applied and the function will be invoked with the values being an empty iterator.
- *
- * Scala example of using GroupState in `mapGroupsWithState`:
- * {{{
- * // A mapping function that maintains an integer state for string keys and returns a string.
- * // Additionally, it sets a timeout to remove the state if it has not received data for an hour.
- * def mappingFunction(key: String, value: Iterator[Int], state: GroupState[Int]): String = {
- *
- *   if (state.hasTimedOut) {                // If called when timing out, remove the state
- *     state.remove()
- *
- *   } else if (state.exists) {              // If state exists, use it for processing
- *     val existingState = state.get         // Get the existing state
- *     val shouldRemove = ...                // Decide whether to remove the state
- *     if (shouldRemove) {
- *       state.remove()                      // Remove the state
- *
- *     } else {
- *       val newState = ...
- *       state.update(newState)              // Set the new state
- *       state.setTimeoutDuration("1 hour")  // Set the timeout
- *     }
- *
- *   } else {
- *     val initialState = ...
- *     state.update(initialState)            // Set the initial state
- *     state.setTimeoutDuration("1 hour")    // Set the timeout
- *   }
- *   ...
- *   // return something
- * }
- *
- * dataset
- *   .groupByKey(...)
- *   .mapGroupsWithState(GroupStateTimeout.ProcessingTimeTimeout)(mappingFunction)
- * }}}
- *
- * Java example of using `GroupState`:
- * {{{
- * // A mapping function that maintains an integer state for string keys and returns a string.
- * // Additionally, it sets a timeout to remove the state if it has not received data for an hour.
- * MapGroupsWithStateFunction<String, Integer, Integer, String> mappingFunction =
- *    new MapGroupsWithStateFunction<String, Integer, Integer, String>() {
- *
- *      @Override
- *      public String call(String key, Iterator<Integer> value, GroupState<Integer> state) {
- *        if (state.hasTimedOut()) {            // If called when timing out, remove the state
- *          state.remove();
- *
- *        } else if (state.exists()) {            // If state exists, use it for processing
- *          int existingState = state.get();      // Get the existing state
- *          boolean shouldRemove = ...;           // Decide whether to remove the state
- *          if (shouldRemove) {
- *            state.remove();                     // Remove the state
- *
- *          } else {
- *            int newState = ...;
- *            state.update(newState);             // Set the new state
- *            state.setTimeoutDuration("1 hour"); // Set the timeout
- *          }
- *
- *        } else {
- *          int initialState = ...;               // Set the initial state
- *          state.update(initialState);
- *          state.setTimeoutDuration("1 hour");   // Set the timeout
- *        }
- *        ...
- *         // return something
- *      }
- *    };
- *
- * dataset
- *     .groupByKey(...)
- *     .mapGroupsWithState(
- *         mappingFunction, Encoders.INT, Encoders.STRING, GroupStateTimeout.ProcessingTimeTimeout);
- * }}}
- *
- * @tparam S
- *   User-defined type of the state to be stored for each group. Must be encodable into Spark SQL
- *   types (see `Encoder` for more details).
- * @since 3.5.0
- */
-@Experimental
-@Evolving
-trait GroupState[S] extends LogicalGroupState[S] {
-
-  /** Whether state exists or not. */
-  def exists: Boolean
-
-  /** Get the state value if it exists, or throw NoSuchElementException. */
-  @throws[NoSuchElementException]("when state does not exist")
-  def get: S
-
-  /** Get the state value as a scala Option. */
-  def getOption: Option[S]
-
-  /** Update the value of the state. */
-  def update(newState: S): Unit
-
-  /** Remove this state. */
-  def remove(): Unit
-
-  /**
-   * Whether the function has been called because the key has timed out.
-   * @note
-   *   This can return true only when timeouts are enabled in `[map/flatMap]GroupsWithState`.
-   */
-  def hasTimedOut: Boolean
-
-  /**
-   * Set the timeout duration in ms for this key.
-   *
-   * @note
-   *   [[GroupStateTimeout Processing time timeout]] must be enabled in
-   *   `[map/flatMap]GroupsWithState` for calling this method.
-   * @note
-   *   This method has no effect when used in a batch query.
-   */
-  @throws[IllegalArgumentException]("if 'durationMs' is not positive")
-  @throws[UnsupportedOperationException](
-    "if processing time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutDuration(durationMs: Long): Unit
-
-  /**
-   * Set the timeout duration for this key as a string. For example, "1 hour", "2 days", etc.
-   *
-   * @note
-   *   [[GroupStateTimeout Processing time timeout]] must be enabled in
-   *   `[map/flatMap]GroupsWithState` for calling this method.
-   * @note
-   *   This method has no effect when used in a batch query.
-   */
-  @throws[IllegalArgumentException]("if 'duration' is not a valid duration")
-  @throws[UnsupportedOperationException](
-    "if processing time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutDuration(duration: String): Unit
-
-  /**
-   * Set the timeout timestamp for this key as milliseconds in epoch time. This timestamp cannot
-   * be older than the current watermark.
-   *
-   * @note
-   *   [[GroupStateTimeout Event time timeout]] must be enabled in `[map/flatMap]GroupsWithState`
-   *   for calling this method.
-   * @note
-   *   This method has no effect when used in a batch query.
-   */
-  @throws[IllegalArgumentException](
-    "if 'timestampMs' is not positive or less than the current watermark in a streaming query")
-  @throws[UnsupportedOperationException](
-    "if event time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutTimestamp(timestampMs: Long): Unit
-
-  /**
-   * Set the timeout timestamp for this key as milliseconds in epoch time and an additional
-   * duration as a string (e.g. "1 hour", "2 days", etc.). The final timestamp (including the
-   * additional duration) cannot be older than the current watermark.
-   *
-   * @note
-   *   [[GroupStateTimeout Event time timeout]] must be enabled in `[map/flatMap]GroupsWithState`
-   *   for calling this method.
-   * @note
-   *   This method has no side effect when used in a batch query.
-   */
-  @throws[IllegalArgumentException](
-    "if 'additionalDuration' is invalid or the final timeout timestamp is less than " +
-      "the current watermark in a streaming query")
-  @throws[UnsupportedOperationException](
-    "if event time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutTimestamp(timestampMs: Long, additionalDuration: String): Unit
-
-  /**
-   * Set the timeout timestamp for this key as a java.sql.Date. This timestamp cannot be older
-   * than the current watermark.
-   *
-   * @note
-   *   [[GroupStateTimeout Event time timeout]] must be enabled in `[map/flatMap]GroupsWithState`
-   *   for calling this method.
-   * @note
-   *   This method has no side effect when used in a batch query.
-   */
-  @throws[UnsupportedOperationException](
-    "if event time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutTimestamp(timestamp: java.sql.Date): Unit
-
-  /**
-   * Set the timeout timestamp for this key as a java.sql.Date and an additional duration as a
-   * string (e.g. "1 hour", "2 days", etc.). The final timestamp (including the additional
-   * duration) cannot be older than the current watermark.
-   *
-   * @note
-   *   [[GroupStateTimeout Event time timeout]] must be enabled in `[map/flatMap]GroupsWithState`
-   *   for calling this method.
-   * @note
-   *   This method has no side effect when used in a batch query.
-   */
-  @throws[IllegalArgumentException]("if 'additionalDuration' is invalid")
-  @throws[UnsupportedOperationException](
-    "if event time timeout has not been enabled in [map|flatMap]GroupsWithState")
-  def setTimeoutTimestamp(timestamp: java.sql.Date, additionalDuration: String): Unit
-
-  /**
-   * Get the current event time watermark as milliseconds in epoch time.
-   *
-   * @note
-   *   In a streaming query, this can be called only when watermark is set before calling
-   *   `[map/flatMap]GroupsWithState`. In a batch query, this method always returns -1.
-   */
-  @throws[UnsupportedOperationException](
-    "if watermark has not been set before in [map|flatMap]GroupsWithState")
-  def getCurrentWatermarkMs(): Long
-
-  /**
-   * Get the current processing time as milliseconds in epoch time.
-   * @note
-   *   In a streaming query, this will return a constant value throughout the duration of a
-   *   trigger, even if the trigger is re-executed.
-   */
-  def getCurrentProcessingTimeMs(): Long
-}
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 3848caacbd2f5..9805ad7f09d6e 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -54,12 +54,6 @@ object MimaExcludes {
     ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.listTables"),
     // [SPARK-43992][SQL][PYTHON][CONNECT] Add optional pattern for Catalog.listFunctions
     ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.listFunctions"),
-     // [SPARK-43919][SQL] Extract JSON functionality out of Row
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.Row.json"),
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.Row.prettyJson"),
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.MutableAggregationBuffer.json"),
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.MutableAggregationBuffer.prettyJson"),
-    ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.MutableAggregationBuffer.jsonValue"),
     // [SPARK-43952][CORE][CONNECT][SQL] Add SparkContext APIs for query cancellation by tag
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.JobData.this"),
     // [SPARK-44205][SQL] Extract Catalyst Code from DecimalType
@@ -73,7 +67,12 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupStateTimeout"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.OutputMode"),
     // [SPARK-44692][CONNECT][SQL] Move Trigger(s) to sql/api
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.Trigger")
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.Trigger"),
+    // [SPARK-44713][CONNECT][SQL] Move shared classes to sql/api
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FlatMapGroupsWithStateFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.MapGroupsWithStateFunction"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SaveMode"),
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupState")
   )
 
   // Default exclude rules
diff --git a/sql/core/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java b/sql/api/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
rename to sql/api/src/main/java/org/apache/spark/api/java/function/FlatMapGroupsWithStateFunction.java
diff --git a/sql/core/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java b/sql/api/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
rename to sql/api/src/main/java/org/apache/spark/api/java/function/MapGroupsWithStateFunction.java
diff --git a/sql/core/src/main/java/org/apache/spark/sql/SaveMode.java b/sql/api/src/main/java/org/apache/spark/sql/SaveMode.java
similarity index 100%
rename from sql/core/src/main/java/org/apache/spark/sql/SaveMode.java
rename to sql/api/src/main/java/org/apache/spark/sql/SaveMode.java
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala b/sql/api/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala
similarity index 100%
rename from sql/core/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/streaming/GroupState.scala

From 08d526d13d69e08657a0158b7b0018aa3b1e6d74 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 8 Aug 2023 15:05:18 +0200
Subject: [PATCH 192/986] [SPARK-44710][CONNECT] Add
 Dataset.dropDuplicatesWithinWatermark to Spark Connect Scala Client

### What changes were proposed in this pull request?
This PR adds `Dataset.dropDuplicatesWithinWatermark` to the Spark Connect Scala Client.

### Why are the changes needed?
Increase compatibility with the current sql/core APIs.

### Does this PR introduce _any_ user-facing change?
Yes. It adds a new method to the scala client.

### How was this patch tested?
Added a new (rudimentary) test to `ClientStreamingQuerySuite`.

Closes #42384 from hvanhovell/SPARK-44710.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 93af0848e467fe4d58c0fb1242b738931390d6f8)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Dataset.scala  |  39 ++++++++++--------
 .../apache/spark/sql/ClientE2ETestSuite.scala |  20 +++++++++
 .../query-tests/queries/distinct.json         |   3 +-
 .../query-tests/queries/distinct.proto.bin    | Bin 50 -> 52 bytes
 .../query-tests/queries/dropDuplicates.json   |   3 +-
 .../queries/dropDuplicates.proto.bin          | Bin 50 -> 52 bytes
 .../queries/dropDuplicates_names_array.json   |   3 +-
 .../dropDuplicates_names_array.proto.bin      | Bin 55 -> 57 bytes
 .../queries/dropDuplicates_names_seq.json     |   3 +-
 .../dropDuplicates_names_seq.proto.bin        | Bin 54 -> 56 bytes
 .../queries/dropDuplicates_varargs.json       |   3 +-
 .../queries/dropDuplicates_varargs.proto.bin  | Bin 58 -> 60 bytes
 12 files changed, 51 insertions(+), 23 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 8a7dce3987a44..5f263903c8bbc 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -2399,6 +2399,19 @@ class Dataset[T] private[sql] (
         .addAllColumnNames(cols.asJava)
   }
 
+  private def buildDropDuplicates(
+      columns: Option[Seq[String]],
+      withinWaterMark: Boolean): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
+    val dropBuilder = builder.getDeduplicateBuilder
+      .setInput(plan.getRoot)
+      .setWithinWatermark(withinWaterMark)
+    if (columns.isDefined) {
+      dropBuilder.addAllColumnNames(columns.get.asJava)
+    } else {
+      dropBuilder.setAllColumnsAsKeys(true)
+    }
+  }
+
   /**
    * Returns a new Dataset that contains only the unique rows from this Dataset. This is an alias
    * for `distinct`.
@@ -2406,11 +2419,7 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def dropDuplicates(): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
-    builder.getDeduplicateBuilder
-      .setInput(plan.getRoot)
-      .setAllColumnsAsKeys(true)
-  }
+  def dropDuplicates(): Dataset[T] = buildDropDuplicates(None, withinWaterMark = false)
 
   /**
    * (Scala-specific) Returns a new Dataset with duplicate rows removed, considering only the
@@ -2419,11 +2428,8 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def dropDuplicates(colNames: Seq[String]): Dataset[T] = sparkSession.newDataset(encoder) {
-    builder =>
-      builder.getDeduplicateBuilder
-        .setInput(plan.getRoot)
-        .addAllColumnNames(colNames.asJava)
+  def dropDuplicates(colNames: Seq[String]): Dataset[T] = {
+    buildDropDuplicates(Option(colNames), withinWaterMark = false)
   }
 
   /**
@@ -2443,16 +2449,14 @@ class Dataset[T] private[sql] (
    */
   @scala.annotation.varargs
   def dropDuplicates(col1: String, cols: String*): Dataset[T] = {
-    val colNames: Seq[String] = col1 +: cols
-    dropDuplicates(colNames)
+    dropDuplicates(col1 +: cols)
   }
 
-  def dropDuplicatesWithinWatermark(): Dataset[T] = {
-    dropDuplicatesWithinWatermark(this.columns)
-  }
+  def dropDuplicatesWithinWatermark(): Dataset[T] =
+    buildDropDuplicates(None, withinWaterMark = true)
 
   def dropDuplicatesWithinWatermark(colNames: Seq[String]): Dataset[T] = {
-    throw new UnsupportedOperationException("dropDuplicatesWithinWatermark is not implemented.")
+    buildDropDuplicates(Option(colNames), withinWaterMark = true)
   }
 
   def dropDuplicatesWithinWatermark(colNames: Array[String]): Dataset[T] = {
@@ -2461,8 +2465,7 @@ class Dataset[T] private[sql] (
 
   @scala.annotation.varargs
   def dropDuplicatesWithinWatermark(col1: String, cols: String*): Dataset[T] = {
-    val colNames: Seq[String] = col1 +: cols
-    dropDuplicatesWithinWatermark(colNames)
+    dropDuplicatesWithinWatermark(col1 +: cols)
   }
 
   /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index ebd3d037bba5c..074cf170dd39d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -1183,6 +1183,26 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     val joined = ds1.joinWith(ds2, $"a.value._1" === $"b.value._2", "inner")
     checkSameResult(Seq((Some((2, 3)), Some((1, 2)))), joined)
   }
+
+  test("dropDuplicatesWithinWatermark not supported in batch DataFrame") {
+    def testAndVerify(df: Dataset[_]): Unit = {
+      val exc = intercept[AnalysisException] {
+        df.write.format("noop").mode(SaveMode.Append).save()
+      }
+
+      assert(exc.getMessage.contains("dropDuplicatesWithinWatermark is not supported"))
+      assert(exc.getMessage.contains("batch DataFrames/DataSets"))
+    }
+
+    val result = spark.range(10).dropDuplicatesWithinWatermark()
+    testAndVerify(result)
+
+    val result2 = spark
+      .range(10)
+      .withColumn("newcol", col("id"))
+      .dropDuplicatesWithinWatermark("newcol")
+    testAndVerify(result2)
+  }
 }
 
 private[sql] case class ClassData(a: String, b: Int)
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/distinct.json b/connector/connect/common/src/test/resources/query-tests/queries/distinct.json
index ae796b520353c..15c320d462b31 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/distinct.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/distinct.json
@@ -11,6 +11,7 @@
         "schema": "struct\u003cid:bigint,a:int,b:double\u003e"
       }
     },
-    "allColumnsAsKeys": true
+    "allColumnsAsKeys": true,
+    "withinWatermark": false
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/distinct.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/distinct.proto.bin
index 07430c43831060375665ce94cd79d8496286af57..078223b1f3edd6cd65da4da9c1156c873f004ec4 100644
GIT binary patch
delta 15
WcmXpqVdG*FU@X#`$fm=jzyJUcrUDND

delta 12
TcmXppV&h^GU@X#^$fg4T3X=ir

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.json b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.json
index ae796b520353c..15c320d462b31 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.json
@@ -11,6 +11,7 @@
         "schema": "struct\u003cid:bigint,a:int,b:double\u003e"
       }
     },
-    "allColumnsAsKeys": true
+    "allColumnsAsKeys": true,
+    "withinWatermark": false
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates.proto.bin
index 07430c43831060375665ce94cd79d8496286af57..078223b1f3edd6cd65da4da9c1156c873f004ec4 100644
GIT binary patch
delta 15
WcmXpqVdG*FU@X#`$fm=jzyJUcrUDND

delta 12
TcmXppV&h^GU@X#^$fg4T3X=ir

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.json b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.json
index e72e23c86caf0..23df6972a517b 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.json
@@ -11,6 +11,7 @@
         "schema": "struct\u003cid:bigint,a:int,b:double\u003e"
       }
     },
-    "columnNames": ["a", "id"]
+    "columnNames": ["a", "id"],
+    "withinWatermark": false
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_array.proto.bin
index c8e3885fbf804423437ffc4a9e33a3a4f90d788f..3bdbeb0d3863702dc7d21689c0ed7bff925872cd 100644
GIT binary patch
delta 15
WcmXrFWaDBIU@S78$Y#i-zyJUdZUQ3!

delta 12
TcmcCCXX9cLU@S76$Yuxt3m*ah

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.json b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.json
index 754cecac4b256..6ef72770b9a63 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.json
@@ -11,6 +11,7 @@
         "schema": "struct\u003cid:bigint,a:int,b:double\u003e"
       }
     },
-    "columnNames": ["a", "b"]
+    "columnNames": ["a", "b"],
+    "withinWatermark": false
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_names_seq.proto.bin
index 1a2d635e58e56cca21c63807141260af3069f07b..65b4942c5684e4400d46528c431ccd7c345127ff 100644
GIT binary patch
delta 15
WcmXrBVB=yEU@S74$Y#K#zyJUdMgkuI

delta 12
TcmcC8W8-2HU@S72$YuZl3j+cB

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.json b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.json
index c4a8df30c5867..2b6d46a313513 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.json
@@ -11,6 +11,7 @@
         "schema": "struct\u003cid:bigint,a:int,b:double\u003e"
       }
     },
-    "columnNames": ["a", "b", "id"]
+    "columnNames": ["a", "b", "id"],
+    "withinWatermark": false
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/dropDuplicates_varargs.proto.bin
index 719a373c2e3843693dbab093d9ebf652d5914465..57f0d7e5afa6733d2de656e92f033e311022c8b7 100644
GIT binary patch
delta 15
WcmcDrVdG*FU@S75$Y#Q%zyJUd<^nGO

delta 12
TcmcDqV&h^GU@S73$Yufn3v&Vs


From 0c27cb702c7b41b2518517d16d6d4108c6841271 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 8 Aug 2023 15:41:36 +0200
Subject: [PATCH 193/986] [SPARK-44715][CONNECT] Bring back callUdf and udf
 function

### What changes were proposed in this pull request?
This PR adds the `udf` (with a return type), and `callUDF` functions to `functions.scala` for the Spark Connect Scala Client.

### Why are the changes needed?
We want the Spark Connect Scala Client to be as compatible as possible with the existing sql/core APIs.

### Does this PR introduce _any_ user-facing change?
Yes. It adds more exposed functions.

### How was this patch tested?
Added tests to `UserDefinedFunctionE2ETestSuite` and  `FunctionTestSuite`. I have also updated the compatibility checks.

Closes #42387 from hvanhovell/SPARK-44715.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 8c444f497137d5abb3a94b576ec0fea55dc18bbc)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/functions.scala      | 40 +++++++++++++++++++
 .../apache/spark/sql/FunctionTestSuite.scala  |  2 +
 .../sql/UserDefinedFunctionE2ETestSuite.scala | 20 ++++++++++
 .../CheckConnectJvmClientCompatibility.scala  |  7 ----
 4 files changed, 62 insertions(+), 7 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index 89bfc99817948..fa8c5782e0614 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -8056,6 +8056,46 @@ object functions {
   }
   // scalastyle:off line.size.limit
 
+  /**
+   * Defines a deterministic user-defined function (UDF) using a Scala closure. For this variant,
+   * the caller must specify the output data type, and there is no automatic input type coercion.
+   * By default the returned UDF is deterministic. To change it to nondeterministic, call the API
+   * `UserDefinedFunction.asNondeterministic()`.
+   *
+   * Note that, although the Scala closure can have primitive-type function argument, it doesn't
+   * work well with null values. Because the Scala closure is passed in as Any type, there is no
+   * type information for the function arguments. Without the type information, Spark may blindly
+   * pass null to the Scala closure with primitive-type argument, and the closure will see the
+   * default value of the Java type for the null argument, e.g. `udf((x: Int) => x, IntegerType)`,
+   * the result is 0 for null input.
+   *
+   * @param f
+   *   A closure in Scala
+   * @param dataType
+   *   The output data type of the UDF
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  @deprecated(
+    "Scala `udf` method with return type parameter is deprecated. " +
+      "Please use Scala `udf` method without return type parameter.",
+    "3.0.0")
+  def udf(f: AnyRef, dataType: DataType): UserDefinedFunction = {
+    ScalarUserDefinedFunction(f, dataType)
+  }
+
+  /**
+   * Call an user-defined function.
+   *
+   * @group udf_funcs
+   * @since 3.5.0
+   */
+  @scala.annotation.varargs
+  @deprecated("Use call_udf")
+  def callUDF(udfName: String, cols: Column*): Column =
+    call_function(udfName, cols: _*)
+
   /**
    * Call an user-defined function. Example:
    * {{{
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
index 32004b6bcc11d..4a8e108357fa7 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
@@ -249,6 +249,8 @@ class FunctionTestSuite extends ConnectFunSuite {
     pbFn.to_protobuf(a, "FakeMessage", "fakeBytes".getBytes(), Map.empty[String, String].asJava),
     pbFn.to_protobuf(a, "FakeMessage", "fakeBytes".getBytes()))
 
+  testEquals("call_udf", callUDF("bob", lit(1)), call_udf("bob", lit(1)))
+
   test("assert_true no message") {
     val e = assert_true(a).expr
     assert(e.hasUnresolvedFunction)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
index 258fa1e7c740a..3a931c9a6ba80 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
@@ -24,9 +24,11 @@ import java.util.concurrent.atomic.AtomicLong
 import scala.collection.JavaConverters._
 
 import org.apache.spark.api.java.function._
+import org.apache.spark.sql.api.java.UDF2
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{PrimitiveIntEncoder, PrimitiveLongEncoder}
 import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.functions.{col, struct, udf}
+import org.apache.spark.sql.types.IntegerType
 
 /**
  * All tests in this class requires client UDF defined in this test class synced with the server.
@@ -250,4 +252,22 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
       "b",
       "c")
   }
+
+  test("(deprecated) scala UDF with dataType") {
+    val session: SparkSession = spark
+    import session.implicits._
+    val fn = udf(((i: Long) => (i + 1).toInt), IntegerType)
+    checkDataset(session.range(2).select(fn($"id")).as[Int], 1, 2)
+  }
+
+  test("java UDF") {
+    val session: SparkSession = spark
+    import session.implicits._
+    val fn = udf(
+      new UDF2[Long, Long, Int] {
+        override def call(t1: Long, t2: Long): Int = (t1 + t2 + 1).toInt
+      },
+      IntegerType)
+    checkDataset(session.range(2).select(fn($"id", $"id" + 2)).as[Int], 3, 5)
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 2bf9c41fb2cbd..d380a1bbb653e 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -191,8 +191,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.javaRDD"),
 
       // functions
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.udf"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.callUDF"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.unwrap_udt"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.functions.udaf"),
 
@@ -214,14 +212,11 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.listenerManager"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.experimental"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.udtf"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.streams"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.createDataFrame"),
       ProblemFilters.exclude[Problem](
         "org.apache.spark.sql.SparkSession.baseRelationToDataFrame"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.createDataset"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.executeCommand"),
-      // TODO(SPARK-44068): Support positional parameters in Scala connect client
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.sql"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.SparkSession.this"),
 
       // SparkSession#implicits
@@ -266,8 +261,6 @@ object CheckConnectJvmClientCompatibility {
         "org.apache.spark.sql.streaming.StreamingQueryException.time"),
 
       // Classes missing from streaming API
-      ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.ForeachWriter"),
-      ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupState"),
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.streaming.TestGroupState"),
       ProblemFilters.exclude[MissingClassProblem](

From 5eeee514f1ac1b4bc181a3ea9a4c48d013c2d179 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Tue, 8 Aug 2023 18:32:25 +0200
Subject: [PATCH 194/986] [SPARK-44709][CONNECT] Run ExecuteGrpcResponseSender
 in reattachable execute in new thread to fix flow control

### What changes were proposed in this pull request?

If executePlan / reattachExecute handling is done directly on the GRPC thread, flow control OnReady events are getting queued until after the handler returns, so OnReadyHandler never gets notified until after the handler exits.
The correct way to use it is for the handler to delegate work to another thread and exit. See https://github.com/grpc/grpc-java/issues/7361

Tidied up and added a lot of logging and statistics to ExecuteGrpcResponseSender and ExecuteResponseObserver to be able to observe this behaviour.

Followup work in https://issues.apache.org/jira/browse/SPARK-44625 is needed for cleanup of abandoned executions that will also make sure that these threads are joined.

### Why are the changes needed?

ExecuteGrpcResponseSender gets stuck waiting on grpcCallObserverReadySignal because events from OnReadyHandler do not arrive.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added extensive debugging to ExecuteGrpcResponseSender and ExecuteResponseObserver and tested and observer the behaviour of all the threads.

Closes #42355 from juliuszsompolski/spark-rpc-extra-thread.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 418bba5ad6053449a141f3c9c31ed3ad998995b8)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/connect/config/Connect.scala    |  13 +-
 .../execution/CachedStreamResponse.scala      |   2 +
 .../execution/ExecuteGrpcResponseSender.scala | 164 +++++++++++++-----
 .../execution/ExecuteResponseObserver.scala   | 116 +++++++++++--
 .../execution/ExecuteThreadRunner.scala       |   3 +-
 .../sql/connect/service/ExecuteHolder.scala   |  21 ++-
 .../SparkConnectExecutePlanHandler.scala      |  20 +--
 .../SparkConnectReattachExecuteHandler.scala  |  22 +--
 8 files changed, 264 insertions(+), 97 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 767b98983c4b5..51a9a1bf95141 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -68,6 +68,17 @@ object Connect {
       .intConf
       .createWithDefault(1024)
 
+  val CONNECT_EXECUTE_REATTACHABLE_ENABLED =
+    ConfigBuilder("spark.connect.execute.reattachable.enabled")
+      .internal()
+      .doc("Enables reattachable execution on the server. If disabled and a client requests it, " +
+        "non-reattachable execution will follow and should run until query completion. This will " +
+        "work, unless there is a GRPC stream error, in which case the client will discover that " +
+        "execution is not reattachable when trying to reattach fails.")
+      .version("3.5.0")
+      .booleanConf
+      .createWithDefault(true)
+
   val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION =
     ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamDuration")
       .internal()
@@ -76,7 +87,7 @@ object Connect {
         "Set to 0 for unlimited.")
       .version("3.5.0")
       .timeConf(TimeUnit.MILLISECONDS)
-      .createWithDefaultString("5m")
+      .createWithDefaultString("2m")
 
   val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE =
     ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamSize")
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
index ec9fce785badb..a2bbe14f2014c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/CachedStreamResponse.scala
@@ -22,6 +22,8 @@ import com.google.protobuf.MessageLite
 private[execution] case class CachedStreamResponse[T <: MessageLite](
     // the actual cached response
     response: T,
+    // the id of the response, an UUID.
+    responseId: String,
     // index of the response in the response stream.
     // responses produced in the stream are numbered consecutively starting from 1.
     streamIndex: Long) {
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
index 88124080ccad5..7b51a90ca3741 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
@@ -17,24 +17,24 @@
 
 package org.apache.spark.sql.connect.execution
 
-import com.google.protobuf.MessageLite
+import com.google.protobuf.Message
 import io.grpc.stub.{ServerCallStreamObserver, StreamObserver}
 
 import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.config.Connect.{CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION, CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE}
 import org.apache.spark.sql.connect.service.ExecuteHolder
 
 /**
- * ExecuteGrpcResponseSender sends responses to the GRPC stream. It runs on the RPC thread, and
- * gets notified by ExecuteResponseObserver about available responses. It notifies the
- * ExecuteResponseObserver back about cached responses that can be removed after being sent out.
+ * ExecuteGrpcResponseSender sends responses to the GRPC stream. It consumes responses from
+ * ExecuteResponseObserver and sends them out as responses to ExecutePlan or ReattachExecute.
  * @param executeHolder
  *   The execution this sender attaches to.
  * @param grpcObserver
  *   the GRPC request StreamObserver
  */
-private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
+private[connect] class ExecuteGrpcResponseSender[T <: Message](
     val executeHolder: ExecuteHolder,
     grpcObserver: StreamObserver[T])
     extends Logging {
@@ -47,15 +47,69 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
   // Signal to wake up when grpcCallObserver.isReady()
   private val grpcCallObserverReadySignal = new Object
 
+  // Stats
+  private var consumeSleep = 0L
+  private var sendSleep = 0L
+
   /**
    * Detach this sender from executionObserver. Called only from executionObserver that this
-   * sender is attached to. executionObserver holds lock, and needs to notify after this call.
+   * sender is attached to. Lock on executionObserver is held, and notifyAll will wake up this
+   * sender if sleeping.
    */
-  def detach(): Unit = {
+  def detach(): Unit = executionObserver.synchronized {
     if (detached == true) {
       throw new IllegalStateException("ExecuteGrpcResponseSender already detached!")
     }
     detached = true
+    executionObserver.notifyAll()
+  }
+
+  def run(lastConsumedStreamIndex: Long): Unit = {
+    if (executeHolder.reattachable) {
+      // In reattachable execution, check if grpcObserver is ready for sending, by using
+      // setOnReadyHandler of the ServerCallStreamObserver. Otherwise, calling grpcObserver.onNext
+      // can queue the responses without sending them, and it is unknown how far behind it is, and
+      // hence how much the executionObserver needs to buffer.
+      //
+      // Because OnReady events get queued on the same GRPC inboud queue as the executePlan or
+      // reattachExecute RPC handler that this is executing in, OnReady events will not arrive and
+      // not trigger the OnReadyHandler unless this thread returns from executePlan/reattachExecute.
+      // Therefore, we launch another thread to operate on the grpcObserver and send the responses,
+      // while this thread will exit from the executePlan/reattachExecute call, allowing GRPC
+      // to send the OnReady events.
+      // See https://github.com/grpc/grpc-java/issues/7361
+
+      val t = new Thread(
+        s"SparkConnectGRPCSender_" +
+          s"opId=${executeHolder.operationId}_startIndex=$lastConsumedStreamIndex") {
+        override def run(): Unit = {
+          execute(lastConsumedStreamIndex)
+        }
+      }
+      executeHolder.grpcSenderThreads += t
+
+      val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
+      grpcCallObserver.setOnReadyHandler(() => {
+        logTrace(s"Stream ready, notify grpcCallObserverReadySignal.")
+        grpcCallObserverReadySignal.synchronized {
+          grpcCallObserverReadySignal.notifyAll()
+        }
+      })
+
+      // Start the thread and exit
+      t.start()
+    } else {
+      // Non reattachable execute runs directly in the GRPC thread.
+      try {
+        execute(lastConsumedStreamIndex)
+      } finally {
+        if (!executeHolder.reattachable) {
+          // Non reattachable executions release here immediately.
+          // (Reattachable executions release with ReleaseExecute RPC.)
+          executeHolder.close()
+        }
+      }
+    }
   }
 
   /**
@@ -70,26 +124,16 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
    *   the last index that was already consumed and sent. This sender will start from index after
    *   that. 0 means start from beginning (since first response has index 1)
    */
-  def run(lastConsumedStreamIndex: Long): Unit = {
-    logDebug(
-      s"GrpcResponseSender run for $executeHolder, " +
+  def execute(lastConsumedStreamIndex: Long): Unit = {
+    logInfo(
+      s"Starting for opId=${executeHolder.operationId}, " +
         s"reattachable=${executeHolder.reattachable}, " +
         s"lastConsumedStreamIndex=$lastConsumedStreamIndex")
+    val startTime = System.nanoTime()
 
     // register to be notified about available responses.
     executionObserver.attachConsumer(this)
 
-    // In reattachable execution, we check if grpcCallObserver is ready for sending.
-    // See sendResponse
-    if (executeHolder.reattachable) {
-      val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
-      grpcCallObserver.setOnReadyHandler(() => {
-        grpcCallObserverReadySignal.synchronized {
-          grpcCallObserverReadySignal.notifyAll()
-        }
-      })
-    }
-
     var nextIndex = lastConsumedStreamIndex + 1
     var finished = false
 
@@ -129,30 +173,38 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
       // Get next available response.
       // Wait until either this sender got detached or next response is ready,
       // or the stream is complete and it had already sent all responses.
-      logDebug(s"Trying to get next response with index=$nextIndex.")
+      logTrace(s"Trying to get next response with index=$nextIndex.")
       executionObserver.synchronized {
-        logDebug(s"Acquired executionObserver lock.")
+        logTrace(s"Acquired executionObserver lock.")
+        val sleepStart = System.nanoTime()
+        var sleepEnd = 0L
         while (!detachedFromObserver &&
           !gotResponse &&
           !streamFinished &&
           !deadlineLimitReached) {
-          logDebug(s"Try to get response with index=$nextIndex from observer.")
+          logTrace(s"Try to get response with index=$nextIndex from observer.")
           response = executionObserver.consumeResponse(nextIndex)
-          logDebug(s"Response index=$nextIndex from observer: ${response.isDefined}")
+          logTrace(s"Response index=$nextIndex from observer: ${response.isDefined}")
           // If response is empty, release executionObserver lock and wait to get notified.
           // The state of detached, response and lastIndex are change under lock in
           // executionObserver, and will notify upon state change.
           if (response.isEmpty) {
             val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
-            logDebug(s"Wait for response to become available with timeout=$timeout ms.")
+            logTrace(s"Wait for response to become available with timeout=$timeout ms.")
             executionObserver.wait(timeout)
-            logDebug(s"Reacquired executionObserver lock after waiting.")
+            logTrace(s"Reacquired executionObserver lock after waiting.")
+            sleepEnd = System.nanoTime()
           }
         }
-        logDebug(
-          s"Exiting loop: detached=$detached, response=$response, " +
+        logTrace(
+          s"Exiting loop: detached=$detached, " +
+            s"response=${response.map(r => ProtoUtils.abbreviate(r.response))}, " +
             s"lastIndex=${executionObserver.getLastResponseIndex()}, " +
             s"deadline=${deadlineLimitReached}")
+        if (sleepEnd > 0) {
+          consumeSleep += sleepEnd - sleepStart
+          logTrace(s"Slept waiting for execution stream for ${sleepEnd - sleepStart}ns.")
+        }
       }
 
       // Process the outcome of the inner loop.
@@ -160,24 +212,30 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
         // This sender got detached by the observer.
         // This only happens if this RPC is actually dead, and the client already came back with
         // a ReattachExecute RPC. Kill this RPC.
-        logDebug(s"Detached from observer at index ${nextIndex - 1}. Complete stream.")
+        logWarning(
+          s"Got detached from opId=${executeHolder.operationId} at index ${nextIndex - 1}." +
+            s"totalTime=${System.nanoTime - startTime}ns " +
+            s"waitingForResults=${consumeSleep}ns waitingForSend=${sendSleep}ns")
         throw new SparkSQLException(errorClass = "INVALID_CURSOR.DISCONNECTED", Map.empty)
       } else if (gotResponse) {
         // There is a response available to be sent.
-        val sent = sendResponse(response.get.response, deadlineTimeMillis)
+        val sent = sendResponse(response.get, deadlineTimeMillis)
         if (sent) {
-          logDebug(s"Sent response index=$nextIndex.")
           sentResponsesSize += response.get.serializedByteSize
           nextIndex += 1
           assert(finished == false)
         } else {
-          // If it wasn't sent, time deadline must have been reached before stream became available.
+          // If it wasn't sent, time deadline must have been reached before stream became available,
+          // will exit in the enxt loop iterattion.
           assert(deadlineLimitReached)
-          finished = true
         }
       } else if (streamFinished) {
         // Stream is finished and all responses have been sent
-        logDebug(s"Stream finished and sent all responses up to index ${nextIndex - 1}.")
+        logInfo(
+          s"Stream finished for opId=${executeHolder.operationId}, " +
+            s"sent all responses up to last index ${nextIndex - 1}. " +
+            s"totalTime=${System.nanoTime - startTime}ns " +
+            s"waitingForResults=${consumeSleep}ns waitingForSend=${sendSleep}ns")
         executionObserver.getError() match {
           case Some(t) => grpcObserver.onError(t)
           case None => grpcObserver.onCompleted()
@@ -186,7 +244,11 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
       } else if (deadlineLimitReached) {
         // The stream is not complete, but should be finished now.
         // The client needs to reattach with ReattachExecute.
-        logDebug(s"Deadline reached, finishing stream after index ${nextIndex - 1}.")
+        logInfo(
+          s"Deadline reached, shutting down stream for opId=${executeHolder.operationId} " +
+            s"after index ${nextIndex - 1}. " +
+            s"totalTime=${System.nanoTime - startTime}ns " +
+            s"waitingForResults=${consumeSleep}ns waitingForSend=${sendSleep}ns")
         grpcObserver.onCompleted()
         finished = true
       }
@@ -205,10 +267,15 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
    * @return
    *   true if the response was sent, false otherwise (meaning deadline passed)
    */
-  private def sendResponse(response: T, deadlineTimeMillis: Long): Boolean = {
+  private def sendResponse(
+      response: CachedStreamResponse[T],
+      deadlineTimeMillis: Long): Boolean = {
     if (!executeHolder.reattachable) {
       // no flow control in non-reattachable execute
-      grpcObserver.onNext(response)
+      logDebug(
+        s"SEND opId=${executeHolder.operationId} responseId=${response.responseId} " +
+          s"idx=${response.streamIndex} (no flow control)")
+      grpcObserver.onNext(response.response)
       true
     } else {
       // In reattachable execution, we control the flow, and only pass the response to the
@@ -225,19 +292,28 @@ private[connect] class ExecuteGrpcResponseSender[T <: MessageLite](
       val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
 
       grpcCallObserverReadySignal.synchronized {
-        logDebug(s"Acquired grpcCallObserverReadySignal lock.")
+        logTrace(s"Acquired grpcCallObserverReadySignal lock.")
+        val sleepStart = System.nanoTime()
+        var sleepEnd = 0L
         while (!grpcCallObserver.isReady() && deadlineTimeMillis >= System.currentTimeMillis()) {
           val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
-          logDebug(s"Wait for grpcCallObserver to become ready with timeout=$timeout ms.")
+          var sleepStart = System.nanoTime()
+          logTrace(s"Wait for grpcCallObserver to become ready with timeout=$timeout ms.")
           grpcCallObserverReadySignal.wait(timeout)
-          logDebug(s"Reacquired grpcCallObserverReadySignal lock after waiting.")
+          logTrace(s"Reacquired grpcCallObserverReadySignal lock after waiting.")
+          sleepEnd = System.nanoTime()
         }
         if (grpcCallObserver.isReady()) {
-          logDebug(s"grpcCallObserver is ready, sending response.")
-          grpcCallObserver.onNext(response)
+          val sleepTime = if (sleepEnd > 0L) sleepEnd - sleepStart else 0L
+          logDebug(
+            s"SEND opId=${executeHolder.operationId} responseId=${response.responseId} " +
+              s"idx=${response.streamIndex}" +
+              s"(waiting ${sleepTime}ns for GRPC stream to be ready)")
+          sendSleep += sleepTime
+          grpcCallObserver.onNext(response.response)
           true
         } else {
-          logDebug(s"grpcCallObserver is not ready, exiting.")
+          logTrace(s"grpcCallObserver is not ready, exiting.")
           false
         }
       }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index 8af0f72b8dafe..0573f7b3dae8d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -21,13 +21,13 @@ import java.util.UUID
 
 import scala.collection.mutable
 
-import com.google.protobuf.MessageLite
+import com.google.protobuf.Message
 import io.grpc.stub.StreamObserver
 
 import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
-import org.apache.spark.sql.connect.config.Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE
+import org.apache.spark.sql.connect.config.Connect.CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE
 import org.apache.spark.sql.connect.service.ExecuteHolder
 
 /**
@@ -47,7 +47,7 @@ import org.apache.spark.sql.connect.service.ExecuteHolder
  * @see
  *   attachConsumer
  */
-private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHolder: ExecuteHolder)
+private[connect] class ExecuteResponseObserver[T <: Message](val executeHolder: ExecuteHolder)
     extends StreamObserver[T]
     with Logging {
 
@@ -85,12 +85,18 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
    */
   private var responseSender: Option[ExecuteGrpcResponseSender[T]] = None
 
+  // Statistics about cached responses.
+  private var cachedSizeUntilHighestConsumed = CachedSize()
+  private var cachedSizeUntilLastProduced = CachedSize()
+  private var autoRemovedSize = CachedSize()
+  private var totalSize = CachedSize()
+
   /**
    * Total size of response to be held buffered after giving out with getResponse. 0 for none, any
    * value greater than 0 will buffer the response from getResponse.
    */
   private val retryBufferSize = if (executeHolder.reattachable) {
-    SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE).toLong
+    SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE).toLong
   } else {
     0
   }
@@ -101,11 +107,19 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
     }
     lastProducedIndex += 1
     val processedResponse = setCommonResponseFields(r)
-    responses +=
-      ((lastProducedIndex, CachedStreamResponse[T](processedResponse, lastProducedIndex)))
-    responseIndexToId += ((lastProducedIndex, getResponseId(processedResponse)))
-    responseIdToIndex += ((getResponseId(processedResponse), lastProducedIndex))
-    logDebug(s"Saved response with index=$lastProducedIndex")
+    val responseId = getResponseId(processedResponse)
+    val response = CachedStreamResponse[T](processedResponse, responseId, lastProducedIndex)
+
+    responses += ((lastProducedIndex, response))
+    responseIndexToId += ((lastProducedIndex, responseId))
+    responseIdToIndex += ((responseId, lastProducedIndex))
+
+    cachedSizeUntilLastProduced.add(response)
+    totalSize.add(response)
+
+    logDebug(
+      s"Execution opId=${executeHolder.operationId} produced response " +
+        s"responseId=${responseId} idx=$lastProducedIndex")
     notifyAll()
   }
 
@@ -115,7 +129,9 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
     }
     error = Some(t)
     finalProducedIndex = Some(lastProducedIndex) // no responses to be send after error.
-    logDebug(s"Error. Last stream index is $lastProducedIndex.")
+    logDebug(
+      s"Execution opId=${executeHolder.operationId} produced error. " +
+        s"Last stream index is $lastProducedIndex.")
     notifyAll()
   }
 
@@ -124,18 +140,17 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
       throw new IllegalStateException("Stream onCompleted can't be called after stream completed")
     }
     finalProducedIndex = Some(lastProducedIndex)
-    logDebug(s"Completed. Last stream index is $lastProducedIndex.")
+    logDebug(
+      s"Execution opId=${executeHolder.operationId} completed stream. " +
+        s"Last stream index is $lastProducedIndex.")
     notifyAll()
   }
 
   /** Attach a new consumer (ExecuteResponseGRPCSender). */
   def attachConsumer(newSender: ExecuteGrpcResponseSender[T]): Unit = synchronized {
     // detach the current sender before attaching new one
-    // this.synchronized() needs to be held while detaching a sender, and the detached sender
-    // needs to be notified with notifyAll() afterwards.
     responseSender.foreach(_.detach())
     responseSender = Some(newSender)
-    notifyAll() // consumer
   }
 
   /**
@@ -150,9 +165,18 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
     assert(index <= highestConsumedIndex + 1)
     val ret = responses.get(index)
     if (ret.isDefined) {
-      if (index > highestConsumedIndex) highestConsumedIndex = index
+      if (index > highestConsumedIndex) {
+        highestConsumedIndex = index
+        cachedSizeUntilHighestConsumed.add(ret.get)
+      }
       // When the response is consumed, figure what previous responses can be uncached.
-      removeCachedResponses(index)
+      // (We keep at least one response before the one we send to consumer now)
+      removeCachedResponses(index - 1)
+      logDebug(
+        s"CONSUME opId=${executeHolder.operationId} responseId=${ret.get.responseId} " +
+          s"idx=$index. size=${ret.get.serializedByteSize} " +
+          s"cachedUntilConsumed=$cachedSizeUntilHighestConsumed " +
+          s"cachedUntilProduced=$cachedSizeUntilLastProduced")
     } else if (index <= highestConsumedIndex) {
       // If index is <= highestConsumedIndex and not available, it was already removed from cache.
       // This may happen if ReattachExecute is too late and the cached response was evicted.
@@ -191,6 +215,25 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
   def removeResponsesUntilId(responseId: String): Unit = synchronized {
     val index = getResponseIndexById(responseId)
     removeResponsesUntilIndex(index)
+    logDebug(
+      s"RELEASE opId=${executeHolder.operationId} until " +
+        s"responseId=$responseId " +
+        s"idx=$index. " +
+        s"cachedUntilConsumed=$cachedSizeUntilHighestConsumed " +
+        s"cachedUntilProduced=$cachedSizeUntilLastProduced")
+  }
+
+  /** Remove all cached responses */
+  def removeAll(): Unit = synchronized {
+    removeResponsesUntilIndex(lastProducedIndex)
+    logInfo(
+      s"Release all for opId=${executeHolder.operationId}. Execution stats: " +
+        s"total=${totalSize} " +
+        s"autoRemoved=${autoRemovedSize} " +
+        s"cachedUntilConsumed=$cachedSizeUntilHighestConsumed " +
+        s"cachedUntilProduced=$cachedSizeUntilLastProduced " +
+        s"maxCachedUntilConsumed=${cachedSizeUntilHighestConsumed.max} " +
+        s"maxCachedUntilProduced=${cachedSizeUntilLastProduced.max}")
   }
 
   /** Returns if the stream is finished. */
@@ -218,16 +261,31 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
       totalResponsesSize += responses.get(i).get.serializedByteSize
       i -= 1
     }
-    removeResponsesUntilIndex(i)
+    if (responses.get(i).isDefined) {
+      logDebug(
+        s"AUTORELEASE opId=${executeHolder.operationId} until idx=$i. " +
+          s"cachedUntilConsumed=$cachedSizeUntilHighestConsumed " +
+          s"cachedUntilProduced=$cachedSizeUntilLastProduced")
+      removeResponsesUntilIndex(i, true)
+    } else {
+      logDebug(
+        s"NO AUTORELEASE opId=${executeHolder.operationId}. " +
+          s"cachedUntilConsumed=$cachedSizeUntilHighestConsumed " +
+          s"cachedUntilProduced=$cachedSizeUntilLastProduced")
+    }
   }
 
   /**
    * Remove cached responses until given index. Iterating backwards, once an index is encountered
    * that has been removed, all earlier indexes would also be removed.
    */
-  private def removeResponsesUntilIndex(index: Long) = {
+  private def removeResponsesUntilIndex(index: Long, autoRemoved: Boolean = false) = {
     var i = index
     while (i >= 1 && responses.get(i).isDefined) {
+      val r = responses.get(i).get
+      cachedSizeUntilHighestConsumed.remove(r)
+      cachedSizeUntilLastProduced.remove(r)
+      if (autoRemoved) autoRemovedSize.add(r)
       responses.remove(i)
       i -= 1
     }
@@ -258,4 +316,26 @@ private[connect] class ExecuteResponseObserver[T <: MessageLite](val executeHold
         executePlanResponse.getResponseId
     }
   }
+
+  /**
+   * Helper for counting statistics about cached responses.
+   */
+  private case class CachedSize(var bytes: Long = 0L, var num: Long = 0L) {
+    var maxBytes: Long = 0L
+    var maxNum: Long = 0L
+
+    def add(t: CachedStreamResponse[T]): Unit = {
+      bytes += t.serializedByteSize
+      if (bytes > maxBytes) maxBytes = bytes
+      num += 1
+      if (num > maxNum) maxNum = num
+    }
+
+    def remove(t: CachedStreamResponse[T]): Unit = {
+      bytes -= t.serializedByteSize
+      num -= 1
+    }
+
+    def max: CachedSize = CachedSize(maxBytes, maxNum)
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index 930ccae5d4c76..62083d4892f78 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -222,7 +222,8 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
       .build()
   }
 
-  private class ExecutionThread extends Thread {
+  private class ExecutionThread
+      extends Thread(s"SparkConnectExecuteThread_opId=${executeHolder.operationId}") {
     override def run(): Unit = {
       execute()
     }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 4eb90f9f1639a..105af0dc0baae 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -20,11 +20,13 @@ package org.apache.spark.sql.connect.service
 import java.util.UUID
 
 import scala.collection.JavaConverters._
+import scala.collection.mutable
 
-import org.apache.spark.SparkSQLException
+import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.common.ProtoUtils
+import org.apache.spark.sql.connect.config.Connect.CONNECT_EXECUTE_REATTACHABLE_ENABLED
 import org.apache.spark.sql.connect.execution.{ExecuteGrpcResponseSender, ExecuteResponseObserver, ExecuteThreadRunner}
 import org.apache.spark.util.SystemClock
 
@@ -36,6 +38,8 @@ private[connect] class ExecuteHolder(
     val sessionHolder: SessionHolder)
     extends Logging {
 
+  val session = sessionHolder.session
+
   val operationId = if (request.hasOperationId) {
     try {
       UUID.fromString(request.getOperationId).toString
@@ -73,8 +77,11 @@ private[connect] class ExecuteHolder(
    * If execution is reattachable, it's life cycle is not limited to a single ExecutePlanRequest,
    * but can be reattached with ReattachExecute, and released with ReleaseExecute
    */
-  val reattachable: Boolean = request.getRequestOptionsList.asScala.exists { option =>
-    option.hasReattachOptions && option.getReattachOptions.getReattachable == true
+  val reattachable: Boolean = {
+    SparkEnv.get.conf.get(CONNECT_EXECUTE_REATTACHABLE_ENABLED) &&
+    request.getRequestOptionsList.asScala.exists { option =>
+      option.hasReattachOptions && option.getReattachOptions.getReattachable == true
+    }
   }
 
   /**
@@ -83,7 +90,12 @@ private[connect] class ExecuteHolder(
    */
   var attached: Boolean = true
 
-  val session = sessionHolder.session
+  /**
+   * Threads that execute the ExecuteGrpcResponseSender and send the GRPC responses.
+   *
+   * TODO(SPARK-44625): Joining and cleaning up these threads during cleanup.
+   */
+  val grpcSenderThreads: mutable.ArrayBuffer[Thread] = new mutable.ArrayBuffer[Thread]()
 
   val responseObserver: ExecuteResponseObserver[proto.ExecutePlanResponse] =
     new ExecuteResponseObserver[proto.ExecutePlanResponse](this)
@@ -162,6 +174,7 @@ private[connect] class ExecuteHolder(
   def close(): Unit = {
     runner.interrupt()
     runner.join()
+    responseObserver.removeAll()
     eventsManager.postClosed()
     sessionHolder.removeExecuteHolder(operationId)
   }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
index 0226b4e5ed3d5..9daf1e17b5e29 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
@@ -31,20 +31,10 @@ class SparkConnectExecutePlanHandler(responseObserver: StreamObserver[proto.Exec
       .getOrCreateIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
     val executeHolder = sessionHolder.createExecuteHolder(v)
 
-    try {
-      executeHolder.eventsManager.postStarted()
-      executeHolder.start()
-      val responseSender =
-        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
-      executeHolder.attachAndRunGrpcResponseSender(responseSender)
-    } finally {
-      if (!executeHolder.reattachable) {
-        // Non reattachable executions release here immediately.
-        executeHolder.close()
-      } else {
-        // Reattachable executions close release with ReleaseExecute RPC.
-        // TODO We mark in the ExecuteHolder that RPC detached.
-      }
-    }
+    executeHolder.eventsManager.postStarted()
+    executeHolder.start()
+    val responseSender =
+      new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
+    executeHolder.attachAndRunGrpcResponseSender(responseSender)
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
index 362846a87b529..b70c82ab13792 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
@@ -44,20 +44,14 @@ class SparkConnectReattachExecuteHandler(
         messageParameters = Map.empty)
     }
 
-    try {
-      val responseSender =
-        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
-      if (v.hasLastResponseId) {
-        // start from response after lastResponseId
-        executeHolder.attachAndRunGrpcResponseSender(responseSender, v.getLastResponseId)
-      } else {
-        // start from the start of the stream.
-        executeHolder.attachAndRunGrpcResponseSender(responseSender)
-      }
-    } finally {
-      // Reattachable executions do not free the execution here, but client needs to call
-      // ReleaseExecute RPC.
-      // TODO We mark in the ExecuteHolder that RPC detached.
+    val responseSender =
+      new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
+    if (v.hasLastResponseId) {
+      // start from response after lastResponseId
+      executeHolder.attachAndRunGrpcResponseSender(responseSender, v.getLastResponseId)
+    } else {
+      // start from the start of the stream.
+      executeHolder.attachAndRunGrpcResponseSender(responseSender)
     }
   }
 }

From aa4288cf59a9daad37c3a2314677f489691da3b7 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Tue, 8 Aug 2023 16:03:38 -0700
Subject: [PATCH 195/986] [SPARK-44725][DOCS] Document
 `spark.network.timeoutInterval`

### What changes were proposed in this pull request?

This PR aims to document `spark.network.timeoutInterval` configuration.

### Why are the changes needed?

Like `spark.network.timeout`, `spark.network.timeoutInterval` exists since Apache Spark 1.3.x.

https://github.com/apache/spark/blob/418bba5ad6053449a141f3c9c31ed3ad998995b8/core/src/main/scala/org/apache/spark/internal/config/Network.scala#L48-L52

Since this is a user-facing configuration like the following, we had better document it.
https://github.com/apache/spark/blob/418bba5ad6053449a141f3c9c31ed3ad998995b8/core/src/main/scala/org/apache/spark/HeartbeatReceiver.scala#L91-L93

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual because this is a doc-only change.

Closes #42402 from dongjoon-hyun/SPARK-44725.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 3af2e77bd20cad3d9fe23cc0689eed29d5f5a537)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/configuration.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/docs/configuration.md b/docs/configuration.md
index 99ef055955838..a70c049c87c6f 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -2397,6 +2397,14 @@ Apart from these, the following properties are also available, and may be useful
   </td>
   <td>1.3.0</td>
 </tr>
+<tr>
+  <td><code>spark.network.timeoutInterval</code></td>
+  <td>60s</td>
+  <td>
+    Interval for the driver to check and expire dead executors.
+  </td>
+  <td>1.3.2</td>
+</tr>
 <tr>
   <td><code>spark.network.io.preferDirectBufs</code></td>
   <td>true</td>

From 10e2462b0f761f18ca4b8177e61f368991ebe95c Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 9 Aug 2023 08:58:45 +0900
Subject: [PATCH 196/986] [SPARK-44722][CONNECT]
 ExecutePlanResponseReattachableIterator._call_iter: AttributeError:
 'NoneType' object has no attribute 'message'

### What changes were proposed in this pull request?

Tiny error during exception handling: status might in some cases be None.

Make a similar change in scala client just to be defensive, because there it appears that it may never happen (when we catch `StatusRuntimeException`, `StatusProto.fromThrowable` should never return null).

### Why are the changes needed?

Fix an error during reattach retry handling.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Tests that will be published in a followup.

Closes #42397 from juliuszsompolski/SPARK-44722.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit ea00ecd1f88beda2f97b03ccdea5d78dd178f3b6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../client/ExecutePlanResponseReattachableIterator.scala    | 6 ++----
 python/pyspark/sql/connect/client/reattach.py               | 2 +-
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index d412d9b577064..7a50801d8a6e5 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -211,10 +211,8 @@ class ExecutePlanResponseReattachableIterator(
       iterFun(iter)
     } catch {
       case ex: StatusRuntimeException
-          if StatusProto
-            .fromThrowable(ex)
-            .getMessage
-            .contains("INVALID_HANDLE.OPERATION_NOT_FOUND") =>
+          if Option(StatusProto.fromThrowable(ex))
+            .exists(_.getMessage.contains("INVALID_HANDLE.OPERATION_NOT_FOUND")) =>
         if (lastReturnedResponseId.isDefined) {
           throw new IllegalStateException(
             "OPERATION_NOT_FOUND on the server but responses were already received from it.",
diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index 70c7d126ff105..c5c45904c9baa 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -239,7 +239,7 @@ def _call_iter(self, iter_fun: Callable) -> Any:
             return iter_fun()
         except grpc.RpcError as e:
             status = rpc_status.from_call(cast(grpc.Call, e))
-            if "INVALID_HANDLE.OPERATION_NOT_FOUND" in status.message:
+            if status is not None and "INVALID_HANDLE.OPERATION_NOT_FOUND" in status.message:
                 if self._last_returned_response_id is not None:
                     raise RuntimeError(
                         "OPERATION_NOT_FOUND on the server but "

From 57044292063f2e9254b59059aee0e6ab8f06d0e8 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Wed, 9 Aug 2023 08:59:29 +0900
Subject: [PATCH 197/986] [SPARK-44665][PYTHON] Add support for pandas
 DataFrame assertDataFrameEqual

### What changes were proposed in this pull request?
This PR adds support for pandas DataFrame in `assertDataFrameEqual` (in addition to pandas-on-Spark), while delaying all pandas imports until pandas environment dependency is verified.

### Why are the changes needed?
The changes are needed to allow users to compare pandas DataFrame equality, while still ensuring compatibility for environments with no pandas installation.

### Does this PR introduce _any_ user-facing change?
Yes, the PR affects the user-facing function `assertDataFrameEqual`

### How was this patch tested?
Added tests to `python/pyspark/sql/tests/test_utils.py` and `python/pyspark/sql/tests/connect/test_utils.py`

Closes #42332 from asl3/support-pandas-df.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 69bd8358827f7c39b620d5cb22126fffb1267384)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/tests/test_utils.py |  16 +-
 python/pyspark/sql/tests/test_utils.py    | 191 ++++++++++++++++--
 python/pyspark/testing/pandasutils.py     | 233 ++++++++++++++--------
 python/pyspark/testing/utils.py           |  88 ++++----
 4 files changed, 378 insertions(+), 150 deletions(-)

diff --git a/python/pyspark/pandas/tests/test_utils.py b/python/pyspark/pandas/tests/test_utils.py
index 0bb03dd8749da..60961dcf252ae 100644
--- a/python/pyspark/pandas/tests/test_utils.py
+++ b/python/pyspark/pandas/tests/test_utils.py
@@ -111,7 +111,7 @@ def test_validate_index_loc(self):
         with self.assertRaisesRegex(IndexError, err_msg):
             validate_index_loc(psidx, -4)
 
-    def test_assert_df_assertPandasOnSparkEqual(self):
+    def test_assert_df_assert_pandas_on_spark_equal(self):
         import pyspark.pandas as ps
 
         psdf1 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
@@ -120,15 +120,15 @@ def test_assert_df_assertPandasOnSparkEqual(self):
         assertPandasOnSparkEqual(psdf1, psdf2, checkRowOrder=False)
         assertPandasOnSparkEqual(psdf1, psdf2, checkRowOrder=True)
 
-    def test_assertPandasOnSparkEqual_ignoreOrder_default(self):
+    def test_assert_pandas_on_spark_equal_ignore_order(self):
         import pyspark.pandas as ps
 
         psdf1 = ps.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
         psdf2 = ps.DataFrame({"a": [2, 1, 3], "b": [5, 4, 6], "c": [8, 7, 9]})
 
-        assertPandasOnSparkEqual(psdf1, psdf2)
+        assertPandasOnSparkEqual(psdf1, psdf2, checkRowOrder=False)
 
-    def test_assert_series_assertPandasOnSparkEqual(self):
+    def test_assert_series_assert_pandas_on_spark_equal(self):
         import pyspark.pandas as ps
 
         s1 = ps.Series([212.32, 100.0001])
@@ -136,7 +136,7 @@ def test_assert_series_assertPandasOnSparkEqual(self):
 
         assertPandasOnSparkEqual(s1, s2, checkExact=False)
 
-    def test_assert_index_assertPandasOnSparkEqual(self):
+    def test_assert_index_assert_pandas_on_spark_equal(self):
         import pyspark.pandas as ps
 
         s1 = ps.Index([212.300001, 100.000])
@@ -144,7 +144,7 @@ def test_assert_index_assertPandasOnSparkEqual(self):
 
         assertPandasOnSparkEqual(s1, s2, almost=True)
 
-    def test_assert_error_assertPandasOnSparkEqual(self):
+    def test_assert_error_assert_pandas_on_spark_equal(self):
         import pyspark.pandas as ps
 
         list1 = [10, 20, 30]
@@ -165,13 +165,13 @@ def test_assert_error_assertPandasOnSparkEqual(self):
             },
         )
 
-    def test_assert_None_assertPandasOnSparkEqual(self):
+    def test_assert_None_assert_pandas_on_spark_equal(self):
         psdf1 = None
         psdf2 = None
 
         assertPandasOnSparkEqual(psdf1, psdf2)
 
-    def test_assert_empty_assertPandasOnSparkEqual(self):
+    def test_assert_empty_assert_pandas_on_spark_equal(self):
         import pyspark.pandas as ps
 
         psdf1 = ps.DataFrame()
diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index 93895465de7f7..e1b7f298d0a8b 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -15,6 +15,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import unittest
+import difflib
+from itertools import zip_longest
+
 from pyspark.sql.functions import sha2, to_timestamp
 from pyspark.errors import (
     AnalysisException,
@@ -23,7 +27,7 @@
     IllegalArgumentException,
     SparkUpgradeException,
 )
-from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual, _context_diff
+from pyspark.testing.utils import assertDataFrameEqual, assertSchemaEqual, _context_diff, have_numpy
 from pyspark.testing.sqlutils import ReusedSQLTestCase
 from pyspark.sql import Row
 import pyspark.sql.functions as F
@@ -40,12 +44,7 @@
     IntegerType,
     BooleanType,
 )
-from pyspark.sql.dataframe import DataFrame
-import pyspark.pandas as ps
-
-import difflib
-from typing import List, Union
-from itertools import zip_longest
+from pyspark.testing.sqlutils import have_pandas
 
 
 class UtilsTestsMixin:
@@ -690,7 +689,7 @@ def test_assert_unequal_null_actual(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "actual",
                 "actual_type": None,
             },
@@ -703,7 +702,7 @@ def test_assert_unequal_null_actual(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "actual",
                 "actual_type": None,
             },
@@ -726,7 +725,7 @@ def test_assert_unequal_null_expected(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "expected",
                 "actual_type": None,
             },
@@ -739,33 +738,195 @@ def test_assert_unequal_null_expected(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "expected",
                 "actual_type": None,
             },
         )
 
+    @unittest.skipIf(not have_pandas or not have_numpy, "no pandas or numpy dependency")
     def test_assert_equal_exact_pandas_df(self):
+        import pandas as pd
+        import numpy as np
+
+        df1 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)]), columns=["a", "b", "c"]
+        )
+        df2 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)]), columns=["a", "b", "c"]
+        )
+
+        assertDataFrameEqual(df1, df2, checkRowOrder=False)
+        assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+    @unittest.skipIf(not have_pandas or not have_numpy, "no pandas or numpy dependency")
+    def test_assert_approx_equal_pandas_df(self):
+        import pandas as pd
+        import numpy as np
+
+        # test that asserts close enough equality for pandas df
+        df1 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 59)]), columns=["a", "b", "c"]
+        )
+        df2 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 59.0001)]), columns=["a", "b", "c"]
+        )
+
+        assertDataFrameEqual(df1, df2, checkRowOrder=False)
+        assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+    @unittest.skipIf(not have_pandas or not have_numpy, "no pandas or numpy dependency")
+    def test_assert_approx_equal_fail_exact_pandas_df(self):
+        import pandas as pd
+        import numpy as np
+
+        # test that asserts close enough equality for pandas df
+        df1 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 59)]), columns=["a", "b", "c"]
+        )
+        df2 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 59.0001)]), columns=["a", "b", "c"]
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=False, rtol=0, atol=0)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True, rtol=0, atol=0)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+    @unittest.skipIf(not have_pandas or not have_numpy, "no pandas or numpy dependency")
+    def test_assert_unequal_pandas_df(self):
+        import pandas as pd
+        import numpy as np
+
+        df1 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (6, 5, 4)]), columns=["a", "b", "c"]
+        )
+        df2 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)]), columns=["a", "b", "c"]
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=False)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+    @unittest.skipIf(not have_pandas or not have_numpy, "no pandas or numpy dependency")
+    def test_assert_type_error_pandas_df(self):
+        import pyspark.pandas as ps
+        import pandas as pd
+        import numpy as np
+
+        df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
+        df2 = pd.DataFrame(
+            data=np.array([(1, 2, 3), (4, 5, 6), (6, 5, 4)]), columns=["a", "b", "c"]
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=False)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+        with self.assertRaises(PySparkAssertionError) as pe:
+            assertDataFrameEqual(df1, df2, checkRowOrder=True)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="DIFFERENT_PANDAS_DATAFRAME",
+            message_parameters={
+                "left": df1.to_string(),
+                "left_dtype": str(df1.dtypes),
+                "right": df2.to_string(),
+                "right_dtype": str(df2.dtypes),
+            },
+        )
+
+    @unittest.skipIf(not have_pandas, "no pandas dependency")
+    def test_assert_equal_exact_pandas_on_spark_df(self):
+        import pyspark.pandas as ps
+
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
         df2 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
 
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
-    def test_assert_equal_exact_pandas_df(self):
+    @unittest.skipIf(not have_pandas, "no pandas dependency")
+    def test_assert_equal_exact_pandas_on_spark_df(self):
+        import pyspark.pandas as ps
+
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
         df2 = ps.DataFrame(data=[30, 20, 10], columns=["Numbers"])
 
         assertDataFrameEqual(df1, df2)
 
-    def test_assert_equal_approx_pandas_df(self):
+    @unittest.skipIf(not have_pandas, "no pandas dependency")
+    def test_assert_equal_approx_pandas_on_spark_df(self):
+        import pyspark.pandas as ps
+
         df1 = ps.DataFrame(data=[10.0001, 20.32, 30.1], columns=["Numbers"])
         df2 = ps.DataFrame(data=[10.0, 20.32, 30.1], columns=["Numbers"])
 
         assertDataFrameEqual(df1, df2, checkRowOrder=False)
         assertDataFrameEqual(df1, df2, checkRowOrder=True)
 
+    @unittest.skipIf(not have_pandas, "no pandas dependency")
     def test_assert_error_pandas_pyspark_df(self):
+        import pyspark.pandas as ps
         import pandas as pd
 
         df1 = ps.DataFrame(data=[10, 20, 30], columns=["Numbers"])
@@ -818,7 +979,7 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "actual",
                 "actual_type": type(dict1),
             },
@@ -831,7 +992,7 @@ def test_assert_error_non_pyspark_df(self):
             exception=pe.exception,
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "actual",
                 "actual_type": type(dict1),
             },
diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 39196873482b1..1122944b2c08a 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -23,7 +23,7 @@
 from contextlib import contextmanager
 from distutils.version import LooseVersion
 import decimal
-from typing import Union
+from typing import Any, Union
 
 import pyspark.pandas as ps
 from pyspark.pandas.frame import DataFrame
@@ -153,18 +153,29 @@ def _assert_pandas_equal(
 
 
 def _assert_pandas_almost_equal(
-    left: Union[pd.DataFrame, pd.Series, pd.Index], right: Union[pd.DataFrame, pd.Series, pd.Index]
+    left: Union[pd.DataFrame, pd.Series, pd.Index],
+    right: Union[pd.DataFrame, pd.Series, pd.Index],
+    rtol: float = 1e-5,
+    atol: float = 1e-8,
 ):
     """
     This function checks if given pandas objects approximately same,
     which means the conditions below:
       - Both objects are nullable
-      - Compare floats rounding to the number of decimal places, 7 after
-        dropping missing values (NaN, NaT, None)
+      - Compare decimals and floats, where two values a and b are approximately equal
+        if they satisfy the following formula:
+        absolute(a - b) <= (atol + rtol * absolute(b))
+        where rtol=1e-5 and atol=1e-8 by default
     """
-    # following pandas convention, rtol=1e-5 and atol=1e-8
-    rtol = 1e-5
-    atol = 1e-8
+
+    def compare_vals_approx(val1, val2):
+        # compare vals for approximate equality
+        if isinstance(lval, (float, decimal.Decimal)) or isinstance(rval, (float, decimal.Decimal)):
+            if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
+                return False
+        elif val1 != val2:
+            return False
+        return True
 
     if isinstance(left, pd.DataFrame) and isinstance(right, pd.DataFrame):
         if left.shape != right.shape:
@@ -200,19 +211,16 @@ def _assert_pandas_almost_equal(
                         },
                     )
             for lval, rval in zip(left[lcol].dropna(), right[rcol].dropna()):
-                if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
-                    isinstance(rval, float) or isinstance(rval, decimal.Decimal)
-                ):
-                    if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
-                        raise PySparkAssertionError(
-                            error_class="DIFFERENT_PANDAS_DATAFRAME",
-                            message_parameters={
-                                "left": left.to_string(),
-                                "left_dtype": str(left.dtypes),
-                                "right": right.to_string(),
-                                "right_dtype": str(right.dtypes),
-                            },
-                        )
+                if not compare_vals_approx(lval, rval):
+                    raise PySparkAssertionError(
+                        error_class="DIFFERENT_PANDAS_DATAFRAME",
+                        message_parameters={
+                            "left": left.to_string(),
+                            "left_dtype": str(left.dtypes),
+                            "right": right.to_string(),
+                            "right_dtype": str(right.dtypes),
+                        },
+                    )
         if left.columns.names != right.columns.names:
             raise PySparkAssertionError(
                 error_class="DIFFERENT_PANDAS_DATAFRAME",
@@ -246,19 +254,16 @@ def _assert_pandas_almost_equal(
                     },
                 )
         for lval, rval in zip(left.dropna(), right.dropna()):
-            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
-                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
-            ):
-                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
-                    raise PySparkAssertionError(
-                        error_class="DIFFERENT_PANDAS_SERIES",
-                        message_parameters={
-                            "left": left.to_string(),
-                            "left_dtype": str(left.dtype),
-                            "right": right.to_string(),
-                            "right_dtype": str(right.dtype),
-                        },
-                    )
+            if not compare_vals_approx(lval, rval):
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_SERIES",
+                    message_parameters={
+                        "left": left.to_string(),
+                        "left_dtype": str(left.dtype),
+                        "right": right.to_string(),
+                        "right_dtype": str(right.dtype),
+                    },
+                )
     elif isinstance(left, pd.MultiIndex) and isinstance(right, pd.MultiIndex):
         if len(left) != len(right):
             raise PySparkAssertionError(
@@ -271,19 +276,16 @@ def _assert_pandas_almost_equal(
                 },
             )
         for lval, rval in zip(left, right):
-            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
-                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
-            ):
-                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
-                    raise PySparkAssertionError(
-                        error_class="DIFFERENT_PANDAS_MULTIINDEX",
-                        message_parameters={
-                            "left": left,
-                            "left_dtype": str(left.dtype),
-                            "right": right,
-                            "right_dtype": str(right.dtype),
-                        },
-                    )
+            if not compare_vals_approx(lval, rval):
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_MULTIINDEX",
+                    message_parameters={
+                        "left": left,
+                        "left_dtype": str(left.dtype),
+                        "right": right,
+                        "right_dtype": str(right.dtype),
+                    },
+                )
     elif isinstance(left, pd.Index) and isinstance(right, pd.Index):
         if len(left) != len(right):
             raise PySparkAssertionError(
@@ -307,21 +309,39 @@ def _assert_pandas_almost_equal(
                     },
                 )
         for lval, rval in zip(left.dropna(), right.dropna()):
-            if (isinstance(lval, float) or isinstance(lval, decimal.Decimal)) and (
-                isinstance(rval, float) or isinstance(rval, decimal.Decimal)
-            ):
-                if abs(float(lval) - float(rval)) > (atol + rtol * abs(float(rval))):
-                    raise PySparkAssertionError(
-                        error_class="DIFFERENT_PANDAS_INDEX",
-                        message_parameters={
-                            "left": left,
-                            "left_dtype": str(left.dtype),
-                            "right": right,
-                            "right_dtype": str(right.dtype),
-                        },
-                    )
+            if not compare_vals_approx(lval, rval):
+                raise PySparkAssertionError(
+                    error_class="DIFFERENT_PANDAS_INDEX",
+                    message_parameters={
+                        "left": left,
+                        "left_dtype": str(left.dtype),
+                        "right": right,
+                        "right_dtype": str(right.dtype),
+                    },
+                )
     else:
-        raise ValueError("Unexpected values: (%s, %s)" % (left, right))
+        if not isinstance(left, (pd.DataFrame, pd.Series, pd.Index)):
+            raise PySparkAssertionError(
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": f"{pd.DataFrame.__name__}, "
+                    f"{pd.Series.__name__}, "
+                    f"{pd.Index.__name__}, ",
+                    "arg_name": "left",
+                    "actual_type": type(left),
+                },
+            )
+        elif not isinstance(right, (pd.DataFrame, pd.Series, pd.Index)):
+            raise PySparkAssertionError(
+                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+                message_parameters={
+                    "expected_type": f"{pd.DataFrame.__name__}, "
+                    f"{pd.Series.__name__}, "
+                    f"{pd.Index.__name__}, ",
+                    "arg_name": "right",
+                    "actual_type": type(right),
+                },
+            )
 
 
 def assertPandasOnSparkEqual(
@@ -329,20 +349,22 @@ def assertPandasOnSparkEqual(
     expected: Union[DataFrame, pd.DataFrame, Series, pd.Series, Index, pd.Index],
     checkExact: bool = True,
     almost: bool = False,
-    checkRowOrder: bool = False,
+    rtol: float = 1e-5,
+    atol: float = 1e-8,
+    checkRowOrder: bool = True,
 ):
     r"""
-    A util function to assert equality between actual (pandas-on-Spark DataFrame) and expected
-    (pandas-on-Spark or pandas DataFrame).
+    A util function to assert equality between actual (pandas-on-Spark object) and expected
+    (pandas-on-Spark or pandas object).
 
     .. versionadded:: 3.5.0
 
     Parameters
     ----------
-    actual: pyspark.pandas.frame.DataFrame
-        The DataFrame that is being compared or tested.
-    expected: pyspark.pandas.frame.DataFrame or pd.DataFrame
-        The expected DataFrame, for comparison with the actual result.
+    actual: pandas-on-Spark DataFrame, Series, or Index
+        The object that is being compared or tested.
+    expected: pandas-on-Spark or pandas DataFrame, Series, or Index
+        The expected object, for comparison with the actual result.
     checkExact: bool, optional
         A flag indicating whether to compare exact equality.
         If set to 'True' (default), the data is compared exactly.
@@ -354,10 +376,16 @@ def assertPandasOnSparkEqual(
         (see documentation for more details).
         If set to 'False' (default), the data is compared exactly with `unittest`'s
         `assertEqual`.
+    rtol : float, optional
+        The relative tolerance, used in asserting almost equality for float values in actual
+        and expected. Set to 1e-5 by default. (See Notes)
+    atol : float, optional
+        The absolute tolerance, used in asserting almost equality for float values in actual
+        and expected. Set to 1e-8 by default. (See Notes)
     checkRowOrder : bool, optional
         A flag indicating whether the order of rows should be considered in the comparison.
-        If set to `False` (default), the row order is not taken into account.
-        If set to `True`, the order of rows is important and will be checked during comparison.
+        If set to `False`, the row order is not taken into account.
+        If set to `True` (default), the order of rows will be checked during comparison.
         (See Notes)
 
     Notes
@@ -365,6 +393,11 @@ def assertPandasOnSparkEqual(
     For `checkRowOrder`, note that pandas-on-Spark DataFrame ordering is non-deterministic, unless
     explicitly sorted.
 
+    When `almost` is set to True, approximate equality will be asserted, where two values
+    a and b are approximately equal if they satisfy the following formula:
+
+    ``absolute(a - b) <= (atol + rtol * absolute(b))``.
+
     Examples
     --------
     >>> import pyspark.pandas as ps
@@ -407,8 +440,9 @@ def assertPandasOnSparkEqual(
             },
         )
     else:
-        actual = actual.to_pandas()
-        if not isinstance(expected, pd.DataFrame):
+        if not isinstance(actual, (pd.DataFrame, pd.Index, pd.Series)):
+            actual = actual.to_pandas()
+        if not isinstance(expected, (pd.DataFrame, pd.Index, pd.Series)):
             expected = expected.to_pandas()
 
         if not checkRowOrder:
@@ -418,25 +452,40 @@ def assertPandasOnSparkEqual(
                 expected = expected.sort_values(by=expected.columns[0], ignore_index=True)
 
         if almost:
-            _assert_pandas_almost_equal(actual, expected)
+            _assert_pandas_almost_equal(actual, expected, rtol=rtol, atol=atol)
         else:
             _assert_pandas_equal(actual, expected, checkExact=checkExact)
 
 
 class PandasOnSparkTestUtils:
-    def convert_str_to_lambda(self, func):
+    def convert_str_to_lambda(self, func: str):
         """
         This function converts `func` str to lambda call
         """
         return lambda x: getattr(x, func)()
 
-    def assertPandasEqual(self, left, right, check_exact=True):
+    def assertPandasEqual(self, left: Any, right: Any, check_exact: bool = True):
         _assert_pandas_equal(left, right, check_exact)
 
-    def assertPandasAlmostEqual(self, left, right):
-        _assert_pandas_almost_equal(left, right)
-
-    def assert_eq(self, left, right, check_exact=True, almost=False):
+    def assertPandasAlmostEqual(
+        self,
+        left: Any,
+        right: Any,
+        rtol: float = 1e-5,
+        atol: float = 1e-8,
+    ):
+        _assert_pandas_almost_equal(left, right, rtol=rtol, atol=atol)
+
+    def assert_eq(
+        self,
+        left: Any,
+        right: Any,
+        check_exact: bool = True,
+        almost: bool = False,
+        rtol: float = 1e-5,
+        atol: float = 1e-8,
+        check_row_order: bool = True,
+    ):
         """
         Asserts if two arbitrary objects are equal or not. If given objects are Koalas DataFrame
         or Series, they are converted into pandas' and compared.
@@ -444,17 +493,37 @@ def assert_eq(self, left, right, check_exact=True, almost=False):
         :param left: object to compare
         :param right: object to compare
         :param check_exact: if this is False, the comparison is done less precisely.
-        :param almost: if this is enabled, the comparison is delegated to `unittest`'s
-                       `assertAlmostEqual`. See its documentation for more details.
+        :param almost: if this is enabled, the comparison asserts approximate equality
+            for float and decimal values, where two values a and b are approximately equal
+            if they satisfy the following formula:
+            absolute(a - b) <= (atol + rtol * absolute(b))
+        :param rtol: The relative tolerance, used in asserting approximate equality for
+            float values. Set to 1e-5 by default.
+        :param atol: The absolute tolerance, used in asserting approximate equality for
+            float values in actual and expected. Set to 1e-8 by default.
+        :param check_row_order: A flag indicating whether the order of rows should be considered
+            in the comparison. If set to False, row order will be ignored.
         """
         import pandas as pd
         from pandas.api.types import is_list_like
 
+        # for pandas-on-Spark DataFrames, allow choice to ignore row order
+        if isinstance(left, (ps.DataFrame, ps.Series, ps.Index)):
+            return assertPandasOnSparkEqual(
+                left,
+                right,
+                checkExact=check_exact,
+                almost=almost,
+                rtol=rtol,
+                atol=atol,
+                checkRowOrder=check_row_order,
+            )
+
         lobj = self._to_pandas(left)
         robj = self._to_pandas(right)
         if isinstance(lobj, (pd.DataFrame, pd.Series, pd.Index)):
             if almost:
-                _assert_pandas_almost_equal(lobj, robj)
+                _assert_pandas_almost_equal(lobj, robj, rtol=rtol, atol=atol)
             else:
                 _assert_pandas_equal(lobj, robj, checkExact=check_exact)
         elif is_list_like(lobj) and is_list_like(robj):
@@ -470,7 +539,7 @@ def assert_eq(self, left, right, check_exact=True, almost=False):
                 self.assertEqual(lobj, robj)
 
     @staticmethod
-    def _to_pandas(obj):
+    def _to_pandas(obj: Any):
         if isinstance(obj, (DataFrame, Series, Index)):
             return obj.to_pandas()
         else:
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 8e02803efe5cb..7dd723634e2f9 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -39,7 +39,6 @@
 from pyspark.sql.dataframe import DataFrame
 from pyspark.sql import Row
 from pyspark.sql.types import StructType, AtomicType, StructField
-import pyspark.pandas as ps
 
 have_scipy = False
 have_numpy = False
@@ -360,9 +359,16 @@ def compare_datatypes_ignore_nullable(dt1: Any, dt2: Any):
         )
 
 
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    import pandas
+    import pyspark.pandas
+
+
 def assertDataFrameEqual(
-    actual: Union[DataFrame, ps.DataFrame, List[Row]],
-    expected: Union[DataFrame, ps.DataFrame, List[Row]],
+    actual: Union[DataFrame, "pandas.DataFrame", "pyspark.pandas.DataFrame", List[Row]],
+    expected: Union[DataFrame, "pandas.DataFrame", "pyspark.pandas.DataFrame", List[Row]],
     checkRowOrder: bool = False,
     rtol: float = 1e-5,
     atol: float = 1e-8,
@@ -371,7 +377,7 @@ def assertDataFrameEqual(
     A util function to assert equality between `actual` and `expected`
     (DataFrames or lists of Rows), with optional parameters `checkRowOrder`, `rtol`, and `atol`.
 
-    Supports Spark, Spark Connect, and pandas-on-Spark DataFrames.
+    Supports Spark, Spark Connect, pandas, and pandas-on-Spark DataFrames.
     For more information about pandas-on-Spark DataFrame equality, see the docs for
     `assertPandasOnSparkEqual`.
 
@@ -379,9 +385,9 @@ def assertDataFrameEqual(
 
     Parameters
     ----------
-    actual : DataFrame (Spark, Spark Connect, or pandas-on-Spark) or list of Rows
+    actual : DataFrame (Spark, Spark Connect, pandas, or pandas-on-Spark) or list of Rows
         The DataFrame that is being compared or tested.
-    expected : DataFrame (Spark, Spark Connect, or pandas-on-Spark) or list of Rows
+    expected : DataFrame (Spark, Spark Connect, pandas, or pandas-on-Spark) or list of Rows
         The expected result of the operation, for comparison with the actual result.
     checkRowOrder : bool, optional
         A flag indicating whether the order of rows should be considered in the comparison.
@@ -446,16 +452,13 @@ def assertDataFrameEqual(
     Row(id='2', amount=3000.0)
     ! Row(id='3', amount=2003.0)
     """
-    import pyspark.pandas as ps
-    from pyspark.testing.pandasutils import assertPandasOnSparkEqual
-
     if actual is None and expected is None:
         return True
     elif actual is None:
         raise PySparkAssertionError(
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "actual",
                 "actual_type": None,
             },
@@ -464,61 +467,56 @@ def assertDataFrameEqual(
         raise PySparkAssertionError(
             error_class="INVALID_TYPE_DF_EQUALITY_ARG",
             message_parameters={
-                "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                 "arg_name": "expected",
                 "actual_type": None,
             },
         )
 
+    has_pandas = False
     try:
-        # If Spark Connect dependencies are available, allow Spark Connect DataFrame
-        from pyspark.sql.connect.dataframe import DataFrame as ConnectDataFrame
+        # If pandas dependencies are available, allow pandas or pandas-on-Spark DataFrame
+        import pyspark.pandas as ps
+        import pandas as pd
+        from pyspark.testing.pandasutils import PandasOnSparkTestUtils
+
+        has_pandas = True
+    except ImportError:
+        # no pandas, so we won't call pandasutils functions
+        pass
 
-        if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
-            # handle pandas DataFrames
-            # assert approximate equality for float data
-            return assertPandasOnSparkEqual(
-                actual, expected, checkExact=False, checkRowOrder=checkRowOrder
-            )
-        elif not isinstance(actual, (DataFrame, ConnectDataFrame, list)):
-            raise PySparkAssertionError(
-                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
-                message_parameters={
-                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
-                    "arg_name": "actual",
-                    "actual_type": type(actual),
-                },
-            )
-        elif not isinstance(expected, (DataFrame, ConnectDataFrame, list)):
-            raise PySparkAssertionError(
-                error_class="INVALID_TYPE_DF_EQUALITY_ARG",
-                message_parameters={
-                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
-                    "arg_name": "expected",
-                    "actual_type": type(expected),
-                },
-            )
-    except Exception:
-        if isinstance(actual, ps.DataFrame) or isinstance(expected, ps.DataFrame):
+    if has_pandas:
+        if (
+            isinstance(actual, pd.DataFrame)
+            or isinstance(expected, pd.DataFrame)
+            or isinstance(actual, ps.DataFrame)
+            or isinstance(expected, ps.DataFrame)
+        ):
             # handle pandas DataFrames
             # assert approximate equality for float data
-            return assertPandasOnSparkEqual(
-                actual, expected, checkExact=False, checkRowOrder=checkRowOrder
+            return PandasOnSparkTestUtils().assert_eq(
+                actual, expected, almost=True, rtol=rtol, atol=atol, check_row_order=checkRowOrder
             )
-        elif not isinstance(actual, (DataFrame, list)):
+
+        from pyspark.sql.utils import get_dataframe_class
+
+        # if is_remote(), allow Connect DataFrame
+        SparkDataFrame = get_dataframe_class()
+
+        if not isinstance(actual, (DataFrame, SparkDataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                    "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                     "arg_name": "actual",
                     "actual_type": type(actual),
                 },
             )
-        elif not isinstance(expected, (DataFrame, list)):
+        elif not isinstance(expected, (DataFrame, SparkDataFrame, list)):
             raise PySparkAssertionError(
                 error_class="INVALID_TYPE_DF_EQUALITY_ARG",
                 message_parameters={
-                    "expected_type": Union[DataFrame, ps.DataFrame, List[Row]],
+                    "expected_type": "Union[DataFrame, ps.DataFrame, List[Row]]",
                     "arg_name": "expected",
                     "actual_type": type(expected),
                 },

From 62cad2f851804dff5904f8a979403a0b30b29ca0 Mon Sep 17 00:00:00 2001
From: itholic <haejoon.lee@databricks.com>
Date: Wed, 9 Aug 2023 10:07:56 +0900
Subject: [PATCH 198/986] [SPARK-44695][PYTHON] Improve error message for
 `DataFrame.toDF`

### What changes were proposed in this pull request?

This PR proposes to improve error message for `DataFrame.toDF`

### Why are the changes needed?

The current error message is not helpful to solve the problem.

### Does this PR introduce _any_ user-facing change?

Displaying more clear error message than before.

**Before**
```python
>>> df = spark.createDataFrame([("John", 30), ("Alice", 25), ("Bob", 28)])
>>> cols = ['A', None]
>>> df.toDF(*cols)
Traceback (most recent call last):
...
py4j.protocol.Py4JJavaError: An error occurred while calling o54.toDF.
: org.apache.spark.SparkException: [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. You hit a bug in Spark or the Spark plugins you use. Please, report this bug to the corresponding communities or vendors, and provide the full stack trace.
	at org.apache.spark.SparkException$.internalError(SparkException.scala:98)
	at org.apache.spark.sql.execution.QueryExecution$.toInternalError(QueryExecution.scala:519)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:531)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:202)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:858)
	at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:201)
	at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:76)
	at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:74)
	at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:66)
	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$1(Dataset.scala:92)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:858)
	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:90)
	at org.apache.spark.sql.Dataset.withPlan(Dataset.scala:4318)
	at org.apache.spark.sql.Dataset.select(Dataset.scala:1541)
	at org.apache.spark.sql.Dataset.toDF(Dataset.scala:539)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.base/java.lang.reflect.Method.invoke(Method.java:566)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
	at py4j.Gateway.invoke(Gateway.java:282)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
	at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.NullPointerException
	at org.apache.spark.sql.catalyst.analysis.ColumnResolutionHelper.$anonfun$resolveLateralColumnAlias$2(ColumnResolutionHelper.scala:308)
	at scala.collection.immutable.List.map(List.scala:297)
	at org.apache.spark.sql.catalyst.analysis.ColumnResolutionHelper.resolveLateralColumnAlias(ColumnResolutionHelper.scala:305)
	at org.apache.spark.sql.catalyst.analysis.ColumnResolutionHelper.resolveLateralColumnAlias$(ColumnResolutionHelper.scala:260)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.resolveLateralColumnAlias(Analyzer.scala:1462)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$16.applyOrElse(Analyzer.scala:1602)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$16.applyOrElse(Analyzer.scala:1487)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUpWithPruning$3(AnalysisHelper.scala:138)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUpWithPruning$1(AnalysisHelper.scala:138)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUpWithPruning(AnalysisHelper.scala:134)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUpWithPruning$(AnalysisHelper.scala:130)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUpWithPruning(LogicalPlan.scala:32)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:111)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:110)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:32)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:1487)
	at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:1462)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)
	at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
	at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
	at scala.collection.immutable.List.foldLeft(List.scala:91)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:219)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:211)
	at scala.collection.immutable.List.foreach(List.scala:431)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:211)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:228)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:224)
	at org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:173)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:224)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:188)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:182)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:182)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:209)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:208)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:76)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:202)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:529)
	... 24 more
```

**After**
```python
>>> df = spark.createDataFrame([("John", 30), ("Alice", 25), ("Bob", 28)])
>>> cols = ['A', None]
>>> df.toDF(*cols)
Traceback (most recent call last):
...
    raise PySparkTypeError(
pyspark.errors.exceptions.base.PySparkTypeError: [NOT_LIST_OF_STR] Argument `cols` should be a list[str], got NoneType.
```

### How was this patch tested?

Add UT.

Closes #42369 from itholic/improve_error_toDF.

Authored-by: itholic <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 66d8e6a3d83d1c686ea68165c656324a17c88a9a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/dataframe.py         |  6 ++++++
 python/pyspark/sql/dataframe.py                 |  6 ++++++
 .../sql/tests/connect/test_parity_dataframe.py  |  3 +++
 python/pyspark/sql/tests/test_dataframe.py      | 17 +++++++++++++++++
 4 files changed, 32 insertions(+)

diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 12e424b5ef137..14d9c2c9d05a8 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -1732,6 +1732,12 @@ def to(self, schema: StructType) -> "DataFrame":
     to.__doc__ = PySparkDataFrame.to.__doc__
 
     def toDF(self, *cols: str) -> "DataFrame":
+        for col_ in cols:
+            if not isinstance(col_, str):
+                raise PySparkTypeError(
+                    error_class="NOT_LIST_OF_STR",
+                    message_parameters={"arg_name": "cols", "arg_type": type(col_).__name__},
+                )
         return DataFrame.withPlan(plan.ToDF(self._plan, list(cols)), self._session)
 
     toDF.__doc__ = PySparkDataFrame.toDF.__doc__
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 8e655dc3a88e5..f6fe17539c6e3 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -5304,6 +5304,12 @@ def toDF(self, *cols: str) -> "DataFrame":
         | 16|  Bob|
         +---+-----+
         """
+        for col in cols:
+            if not isinstance(col, str):
+                raise PySparkTypeError(
+                    error_class="NOT_LIST_OF_STR",
+                    message_parameters={"arg_name": "cols", "arg_type": type(col).__name__},
+                )
         jdf = self._jdf.toDF(self._jseq(cols))
         return DataFrame(jdf, self.sparkSession)
 
diff --git a/python/pyspark/sql/tests/connect/test_parity_dataframe.py b/python/pyspark/sql/tests/connect/test_parity_dataframe.py
index a74afc4d504bc..ccc0b997e8d4b 100644
--- a/python/pyspark/sql/tests/connect/test_parity_dataframe.py
+++ b/python/pyspark/sql/tests/connect/test_parity_dataframe.py
@@ -84,6 +84,9 @@ def test_to_pandas_with_duplicated_column_names(self):
     def test_to_pandas_from_mixed_dataframe(self):
         self.check_to_pandas_from_mixed_dataframe()
 
+    def test_toDF_with_string(self):
+        super().test_toDF_with_string()
+
 
 if __name__ == "__main__":
     import unittest
diff --git a/python/pyspark/sql/tests/test_dataframe.py b/python/pyspark/sql/tests/test_dataframe.py
index 527a51cc239ed..33049233dee98 100644
--- a/python/pyspark/sql/tests/test_dataframe.py
+++ b/python/pyspark/sql/tests/test_dataframe.py
@@ -1008,6 +1008,23 @@ def test_sample(self):
             IllegalArgumentException, lambda: self.spark.range(1).sample(-1.0).count()
         )
 
+    def test_toDF_with_string(self):
+        df = self.spark.createDataFrame([("John", 30), ("Alice", 25), ("Bob", 28)])
+        data = [("John", 30), ("Alice", 25), ("Bob", 28)]
+
+        result = df.toDF("key", "value")
+        self.assertEqual(result.schema.simpleString(), "struct<key:string,value:bigint>")
+        self.assertEqual(result.collect(), data)
+
+        with self.assertRaises(PySparkTypeError) as pe:
+            df.toDF("key", None)
+
+        self.check_error(
+            exception=pe.exception,
+            error_class="NOT_LIST_OF_STR",
+            message_parameters={"arg_name": "cols", "arg_type": "NoneType"},
+        )
+
     def test_toDF_with_schema_string(self):
         data = [Row(key=i, value=str(i)) for i in range(100)]
         rdd = self.sc.parallelize(data, 5)

From 45dcb1cb67c8c0b2ff507d26bc2785fbfd0d4526 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 9 Aug 2023 11:03:40 +0900
Subject: [PATCH 199/986] [SPARK-44717][PYTHON][PS] Respect TimestampNTZ in
 resampling

### What changes were proposed in this pull request?

This PR proposes to respect `TimestampNTZ` type in resampling at pandas API on Spark.

### Why are the changes needed?

It still operates as if the timestamps are `TIMESTAMP_LTZ` even when `spark.sql.timestampType` is set to `TIMESTAMP_NTZ`, which is unexpected.

### Does this PR introduce _any_ user-facing change?

This fixes a bug so end users can use exactly same behaviour with pandas with `TimestampNTZType` - pandas does not respect the local timezone with DST. While we might need to follow this even for `TimestampType`, this PR does not address the case as it might be controversial.

### How was this patch tested?

Unittest was added.

Closes #42392 from HyukjinKwon/SPARK-44717.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e05959e1900cc687f61b794da47a1516d9baf66b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/frame.py                |  4 +-
 python/pyspark/pandas/resample.py             | 43 +++++++++++------
 .../tests/connect/test_parity_resample.py     | 12 ++++-
 python/pyspark/pandas/tests/test_resample.py  | 47 +++++++++++++++++++
 4 files changed, 88 insertions(+), 18 deletions(-)

diff --git a/python/pyspark/pandas/frame.py b/python/pyspark/pandas/frame.py
index d8a3f812c33ab..2956ca7356b52 100644
--- a/python/pyspark/pandas/frame.py
+++ b/python/pyspark/pandas/frame.py
@@ -13357,7 +13357,9 @@ def resample(
 
         if on is None and not isinstance(self.index, DatetimeIndex):
             raise NotImplementedError("resample currently works only for DatetimeIndex")
-        if on is not None and not isinstance(as_spark_type(on.dtype), TimestampType):
+        if on is not None and not isinstance(
+            as_spark_type(on.dtype), (TimestampType, TimestampNTZType)
+        ):
             raise NotImplementedError("`on` currently works only for TimestampType")
 
         agg_columns: List[ps.Series] = []
diff --git a/python/pyspark/pandas/resample.py b/python/pyspark/pandas/resample.py
index c6c6019c07e6a..30f8c9d31695e 100644
--- a/python/pyspark/pandas/resample.py
+++ b/python/pyspark/pandas/resample.py
@@ -46,7 +46,8 @@
 from pyspark.sql.types import (
     NumericType,
     StructField,
-    TimestampType,
+    TimestampNTZType,
+    DataType,
 )
 
 from pyspark import pandas as ps  # For running doctests and reference resolution in PyCharm.
@@ -130,6 +131,13 @@ def _resamplekey_scol(self) -> Column:
         else:
             return self._resamplekey.spark.column
 
+    @property
+    def _resamplekey_type(self) -> DataType:
+        if self._resamplekey is None:
+            return self._psdf.index.spark.data_type
+        else:
+            return self._resamplekey.spark.data_type
+
     @property
     def _agg_columns_scols(self) -> List[Column]:
         return [s.spark.column for s in self._agg_columns]
@@ -154,7 +162,8 @@ def get_make_interval(  # type: ignore[return]
             col = col._jc if isinstance(col, Column) else F.lit(col)._jc
             return sql_utils.makeInterval(unit, col)
 
-    def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
+    def _bin_timestamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
+        key_type = self._resamplekey_type
         origin_scol = F.lit(origin)
         (rule_code, n) = (self._offset.rule_code, getattr(self._offset, "n"))
         left_closed, right_closed = (self._closed == "left", self._closed == "right")
@@ -188,7 +197,7 @@ def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
                     F.year(ts_scol) - (mod - n)
                 )
 
-            return F.to_timestamp(
+            ret = F.to_timestamp(
                 F.make_date(
                     F.when(edge_cond, edge_label).otherwise(non_edge_label), F.lit(12), F.lit(31)
                 )
@@ -227,7 +236,7 @@ def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
                     truncated_ts_scol - self.get_make_interval("MONTH", mod - n)
                 )
 
-            return F.to_timestamp(
+            ret = F.to_timestamp(
                 F.last_day(F.when(edge_cond, edge_label).otherwise(non_edge_label))
             )
 
@@ -242,15 +251,15 @@ def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
                 )
 
                 if left_closed and left_labeled:
-                    return F.date_trunc("DAY", ts_scol)
+                    ret = F.date_trunc("DAY", ts_scol)
                 elif left_closed and right_labeled:
-                    return F.date_trunc("DAY", F.date_add(ts_scol, 1))
+                    ret = F.date_trunc("DAY", F.date_add(ts_scol, 1))
                 elif right_closed and left_labeled:
-                    return F.when(edge_cond, F.date_trunc("DAY", F.date_sub(ts_scol, 1))).otherwise(
+                    ret = F.when(edge_cond, F.date_trunc("DAY", F.date_sub(ts_scol, 1))).otherwise(
                         F.date_trunc("DAY", ts_scol)
                     )
                 else:
-                    return F.when(edge_cond, F.date_trunc("DAY", ts_scol)).otherwise(
+                    ret = F.when(edge_cond, F.date_trunc("DAY", ts_scol)).otherwise(
                         F.date_trunc("DAY", F.date_add(ts_scol, 1))
                     )
 
@@ -272,13 +281,15 @@ def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
                 else:
                     non_edge_label = F.date_sub(truncated_ts_scol, mod - n)
 
-                return F.when(edge_cond, edge_label).otherwise(non_edge_label)
+                ret = F.when(edge_cond, edge_label).otherwise(non_edge_label)
 
         elif rule_code in ["H", "T", "S"]:
             unit_mapping = {"H": "HOUR", "T": "MINUTE", "S": "SECOND"}
             unit_str = unit_mapping[rule_code]
 
             truncated_ts_scol = F.date_trunc(unit_str, ts_scol)
+            if isinstance(key_type, TimestampNTZType):
+                truncated_ts_scol = F.to_timestamp_ntz(truncated_ts_scol)
             diff = timestampdiff(unit_str, origin_scol, truncated_ts_scol)
             mod = F.lit(0) if n == 1 else (diff % F.lit(n))
 
@@ -307,11 +318,16 @@ def _bin_time_stamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
                     truncated_ts_scol + self.get_make_interval(unit_str, n),
                 ).otherwise(truncated_ts_scol - self.get_make_interval(unit_str, mod - n))
 
-            return F.when(edge_cond, edge_label).otherwise(non_edge_label)
+            ret = F.when(edge_cond, edge_label).otherwise(non_edge_label)
 
         else:
             raise ValueError("Got the unexpected unit {}".format(rule_code))
 
+        if isinstance(key_type, TimestampNTZType):
+            return F.to_timestamp_ntz(ret)
+        else:
+            return ret
+
     def _downsample(self, f: str) -> DataFrame:
         """
         Downsample the defined function.
@@ -374,12 +390,9 @@ def _downsample(self, f: str) -> DataFrame:
         bin_col_label = verify_temp_column_name(self._psdf, bin_col_name)
         bin_col_field = InternalField(
             dtype=np.dtype("datetime64[ns]"),
-            struct_field=StructField(bin_col_name, TimestampType(), True),
-        )
-        bin_scol = self._bin_time_stamp(
-            ts_origin,
-            self._resamplekey_scol,
+            struct_field=StructField(bin_col_name, self._resamplekey_type, True),
         )
+        bin_scol = self._bin_timestamp(ts_origin, self._resamplekey_scol)
 
         agg_columns = [
             psser for psser in self._agg_columns if (isinstance(psser.spark.data_type, NumericType))
diff --git a/python/pyspark/pandas/tests/connect/test_parity_resample.py b/python/pyspark/pandas/tests/connect/test_parity_resample.py
index e5957cc9b4a29..d5c901f113a05 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_resample.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_resample.py
@@ -16,17 +16,25 @@
 #
 import unittest
 
-from pyspark.pandas.tests.test_resample import ResampleTestsMixin
+from pyspark.pandas.tests.test_resample import ResampleTestsMixin, ResampleWithTimezoneMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils, TestUtils
 
 
-class ResampleTestsParityMixin(
+class ResampleParityTests(
     ResampleTestsMixin, PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase
 ):
     pass
 
 
+class ResampleWithTimezoneTests(
+    ResampleWithTimezoneMixin, PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase
+):
+    @unittest.skip("SPARK-44731: Support 'spark.sql.timestampType' in Python Spark Connect client")
+    def test_series_resample_with_timezone(self):
+        super().test_series_resample_with_timezone()
+
+
 if __name__ == "__main__":
     from pyspark.pandas.tests.connect.test_parity_resample import *  # noqa: F401
 
diff --git a/python/pyspark/pandas/tests/test_resample.py b/python/pyspark/pandas/tests/test_resample.py
index 0650fc40448e3..4061402590767 100644
--- a/python/pyspark/pandas/tests/test_resample.py
+++ b/python/pyspark/pandas/tests/test_resample.py
@@ -19,6 +19,8 @@
 import unittest
 import inspect
 import datetime
+import os
+
 import numpy as np
 import pandas as pd
 
@@ -283,10 +285,55 @@ def test_resample_on(self):
         )
 
 
+class ResampleWithTimezoneMixin:
+    timezone = None
+
+    @classmethod
+    def setUpClass(cls):
+        cls.timezone = os.environ.get("TZ", None)
+        os.environ["TZ"] = "America/New_York"
+        super(ResampleWithTimezoneMixin, cls).setUpClass()
+
+    @classmethod
+    def tearDownClass(cls):
+        super(ResampleWithTimezoneMixin, cls).tearDownClass()
+        if cls.timezone is not None:
+            os.environ["TZ"] = cls.timezone
+
+    @property
+    def pdf(self):
+        np.random.seed(22)
+        index = pd.date_range(start="2011-01-02", end="2022-05-01", freq="1D")
+        return pd.DataFrame(np.random.rand(len(index), 2), index=index, columns=list("AB"))
+
+    @property
+    def psdf(self):
+        return ps.from_pandas(self.pdf)
+
+    def test_series_resample_with_timezone(self):
+        with self.sql_conf(
+            {
+                "spark.sql.session.timeZone": "Asia/Seoul",
+                "spark.sql.timestampType": "TIMESTAMP_NTZ",
+            }
+        ):
+            p_resample = self.pdf.resample(rule="1001H", closed="right", label="right")
+            ps_resample = self.psdf.resample(rule="1001H", closed="right", label="right")
+            self.assert_eq(
+                p_resample.sum().sort_index(),
+                ps_resample.sum().sort_index(),
+                almost=True,
+            )
+
+
 class ResampleTests(ResampleTestsMixin, PandasOnSparkTestCase, TestUtils):
     pass
 
 
+class ResampleWithTimezoneTests(ResampleWithTimezoneMixin, PandasOnSparkTestCase, TestUtils):
+    pass
+
+
 if __name__ == "__main__":
     from pyspark.pandas.tests.test_resample import *  # noqa: F401
 

From f905c64c9bf4e6b44d1071b92668ea461012a593 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E4=BD=99=E8=89=AF?= <yul165@chinaunicom.cn>
Date: Wed, 9 Aug 2023 13:46:57 +0800
Subject: [PATCH 200/986] [SPARK-44581][YARN] Fix the bug that
 ShutdownHookManager gets wrong UGI from SecurityManager of ApplicationMaster
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

I make the SecurityManager instance a lazy value

### Why are the changes needed?

fix the bug in issue [SPARK-44581](https://issues.apache.org/jira/browse/SPARK-44581)

**Bug:**
In spark3.2 it throws the org.apache.hadoop.security.AccessControlException, but in spark2.4 this hook does not throw exception.

I rebuild the hadoop-client-api.jar, and add some debug log before the hadoop shutdown hook is created, and rebuild the spark-yarn.jar to add some debug log when creating the spark shutdown hook manager, here is the screenshot of the log:
![image](https://github.com/apache/spark/assets/62563545/ea338db3-646c-432c-bf16-1f445adc2ad9)

We can see from the screenshot, the ShutdownHookManager is initialized before the ApplicationManager create a new ugi.

**Reason**

The main cause is that ShutdownHook thread is created before we create the ugi in ApplicationMaster.

When we set the config key "hadoop.security.credential.provider.path", the ApplicationMaster will try to get a filesystem when generating SSLOptions, and when initialize the filesystem during which it will generate a new thread whose ugi is inherited from the current process (yarn).
After this, it will generate a new ugi (SPARK_USER) in ApplicationMaster and execute the doAs() function.

Here is the chain of the call:
ApplicationMaster.(ApplicationMaster.scala:83) -> org.apache.spark.SecurityManager.(SecurityManager.scala:98) -> org.apache.spark.SSLOptions$.parse(SSLOptions.scala:188) -> org.apache.hadoop.conf.Configuration.getPassword(Configuration.java:2353) -> org.apache.hadoop.conf.Configuration.getPasswordFromCredentialProviders(Configuration.java:2434) -> org.apache.hadoop.security.alias.CredentialProviderFactory.getProviders(CredentialProviderFactory.java:82)

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

I didn't add new UnitTest for this, but I rebuild the package, and runs a program in my cluster, and turns out that the user when I delete the staging file turns to be the same with the SPARK_USER.

Closes #42405 from liangyu-1/SPARK-44581.

Authored-by: 余良 <yul165@chinaunicom.cn>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit e584ed4ad96a0f0573455511d7be0e9b2afbeb96)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
index 0149a3f62175b..4fa7b66c9e5a4 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
@@ -79,7 +79,7 @@ private[spark] class ApplicationMaster(
 
   private val isClusterMode = args.userClass != null
 
-  private val securityMgr = new SecurityManager(sparkConf)
+  private lazy val securityMgr = new SecurityManager(sparkConf)
 
   private var metricsSystem: Option[MetricsSystem] = None
 

From 7520fc160aa75360e29d5527e2a59c5605f144d4 Mon Sep 17 00:00:00 2001
From: Jack Chen <jack.chen@databricks.com>
Date: Wed, 9 Aug 2023 15:10:51 +0800
Subject: [PATCH 201/986] [SPARK-44551][SQL] Fix behavior of null IN (empty
 list) in expression execution

### What changes were proposed in this pull request?
`null IN (empty list)` incorrectly evaluates to null, when it should evaluate to false. (The reason it should be false is because a IN (b1, b2) is defined as a = b1 OR a = b2, and an empty IN list is treated as an empty OR which is false. This is specified by ANSI SQL.)

Many places in Spark execution (In, InSet, InSubquery) and optimization (OptimizeIn, NullPropagation) implemented this wrong behavior. This is a longstanding correctness issue which has existed since null support for IN expressions was first added to Spark.

This PR fixes Spark execution (In, InSet, InSubquery). See previous PR https://github.com/apache/spark/pull/42007 for optimization fixes.

The behavior is under a flag, which will be available to revert to the legacy behavior if needed. This flag is set to disable the new behavior until all of the fix PRs are complete.

See [this doc](https://docs.google.com/document/d/1k8AY8oyT-GI04SnP7eXttPDnDj-Ek-c3luF2zL6DPNU/edit) for more information.

### Why are the changes needed?
Fix wrong SQL semantics

### Does this PR introduce _any_ user-facing change?
Not yet, but will fix wrong SQL semantics when enabled

### How was this patch tested?
Unit tests PredicateSuite and tests added in previous PR https://github.com/apache/spark/pull/42007

Closes #42163 from jchen5/null-in-empty-exec.

Authored-by: Jack Chen <jack.chen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f9058d69b2af774e78677ac4cad55c7c91eb42ae)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/expressions/predicates.scala | 196 +++++++++++-------
 .../sql/catalyst/optimizer/expressions.scala  |   4 +-
 .../catalyst/expressions/PredicateSuite.scala |  35 ++--
 .../in-subquery/in-null-semantics.sql         |   3 +-
 .../in-subquery/in-null-semantics.sql.out     |   4 +-
 .../org/apache/spark/sql/EmptyInSuite.scala   |   3 +-
 6 files changed, 144 insertions(+), 101 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
index ee2ba7c73d1f3..31b872e04ce72 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
@@ -468,6 +468,8 @@ case class In(value: Expression, list: Seq[Expression]) extends Predicate {
   override def foldable: Boolean = children.forall(_.foldable)
 
   final override val nodePatterns: Seq[TreePattern] = Seq(IN)
+  private val legacyNullInEmptyBehavior =
+    SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)
 
   override lazy val canonicalized: Expression = {
     val basic = withNewChildren(children.map(_.canonicalized)).asInstanceOf[In]
@@ -481,88 +483,104 @@ case class In(value: Expression, list: Seq[Expression]) extends Predicate {
   override def toString: String = s"$value IN ${list.mkString("(", ",", ")")}"
 
   override def eval(input: InternalRow): Any = {
-    val evaluatedValue = value.eval(input)
-    if (evaluatedValue == null) {
-      null
+    if (list.isEmpty && !legacyNullInEmptyBehavior) {
+      // IN (empty list) is always false under current behavior.
+      // Under legacy behavior it's null if the left side is null, otherwise false (SPARK-44550).
+      false
     } else {
-      var hasNull = false
-      list.foreach { e =>
-        val v = e.eval(input)
-        if (v == null) {
-          hasNull = true
-        } else if (ordering.equiv(v, evaluatedValue)) {
-          return true
-        }
-      }
-      if (hasNull) {
+      val evaluatedValue = value.eval(input)
+      if (evaluatedValue == null) {
         null
       } else {
-        false
+        var hasNull = false
+        list.foreach { e =>
+          val v = e.eval(input)
+          if (v == null) {
+            hasNull = true
+          } else if (ordering.equiv(v, evaluatedValue)) {
+            return true
+          }
+        }
+        if (hasNull) {
+          null
+        } else {
+          false
+        }
       }
     }
   }
 
   override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
-    val javaDataType = CodeGenerator.javaType(value.dataType)
-    val valueGen = value.genCode(ctx)
-    val listGen = list.map(_.genCode(ctx))
-    // inTmpResult has 3 possible values:
-    // -1 means no matches found and there is at least one value in the list evaluated to null
-    val HAS_NULL = -1
-    // 0 means no matches found and all values in the list are not null
-    val NOT_MATCHED = 0
-    // 1 means one value in the list is matched
-    val MATCHED = 1
-    val tmpResult = ctx.freshName("inTmpResult")
-    val valueArg = ctx.freshName("valueArg")
-    // All the blocks are meant to be inside a do { ... } while (false); loop.
-    // The evaluation of variables can be stopped when we find a matching value.
-    val listCode = listGen.map(x =>
-      s"""
-         |${x.code}
-         |if (${x.isNull}) {
-         |  $tmpResult = $HAS_NULL; // ${ev.isNull} = true;
-         |} else if (${ctx.genEqual(value.dataType, valueArg, x.value)}) {
-         |  $tmpResult = $MATCHED; // ${ev.isNull} = false; ${ev.value} = true;
-         |  continue;
-         |}
+    if (list.isEmpty && !legacyNullInEmptyBehavior) {
+      // IN (empty list) is always false under current behavior.
+      // Under legacy behavior it's null if the left side is null, otherwise false (SPARK-44550).
+      ev.copy(code =
+        code"""
+              |final boolean ${ev.isNull} = false;
+              |final boolean ${ev.value} = false;
        """.stripMargin)
-
-    val codes = ctx.splitExpressionsWithCurrentInputs(
-      expressions = listCode,
-      funcName = "valueIn",
-      extraArguments = (javaDataType, valueArg) :: (CodeGenerator.JAVA_BYTE, tmpResult) :: Nil,
-      returnType = CodeGenerator.JAVA_BYTE,
-      makeSplitFunction = body =>
-        s"""
-           |do {
-           |  $body
-           |} while (false);
-           |return $tmpResult;
-         """.stripMargin,
-      foldFunctions = _.map { funcCall =>
+    } else {
+      val javaDataType = CodeGenerator.javaType(value.dataType)
+      val valueGen = value.genCode(ctx)
+      val listGen = list.map(_.genCode(ctx))
+      // inTmpResult has 3 possible values:
+      // -1 means no matches found and there is at least one value in the list evaluated to null
+      val HAS_NULL = -1
+      // 0 means no matches found and all values in the list are not null
+      val NOT_MATCHED = 0
+      // 1 means one value in the list is matched
+      val MATCHED = 1
+      val tmpResult = ctx.freshName("inTmpResult")
+      val valueArg = ctx.freshName("valueArg")
+      // All the blocks are meant to be inside a do { ... } while (false); loop.
+      // The evaluation of variables can be stopped when we find a matching value.
+      val listCode = listGen.map(x =>
         s"""
-           |$tmpResult = $funcCall;
-           |if ($tmpResult == $MATCHED) {
+           |${x.code}
+           |if (${x.isNull}) {
+           |  $tmpResult = $HAS_NULL; // ${ev.isNull} = true;
+           |} else if (${ctx.genEqual(value.dataType, valueArg, x.value)}) {
+           |  $tmpResult = $MATCHED; // ${ev.isNull} = false; ${ev.value} = true;
            |  continue;
            |}
-         """.stripMargin
-      }.mkString("\n"))
-
-    ev.copy(code =
-      code"""
-         |${valueGen.code}
-         |byte $tmpResult = $HAS_NULL;
-         |if (!${valueGen.isNull}) {
-         |  $tmpResult = $NOT_MATCHED;
-         |  $javaDataType $valueArg = ${valueGen.value};
-         |  do {
-         |    $codes
-         |  } while (false);
-         |}
-         |final boolean ${ev.isNull} = ($tmpResult == $HAS_NULL);
-         |final boolean ${ev.value} = ($tmpResult == $MATCHED);
-       """.stripMargin)
+         """.stripMargin)
+
+      val codes = ctx.splitExpressionsWithCurrentInputs(
+        expressions = listCode,
+        funcName = "valueIn",
+        extraArguments = (javaDataType, valueArg) :: (CodeGenerator.JAVA_BYTE, tmpResult) :: Nil,
+        returnType = CodeGenerator.JAVA_BYTE,
+        makeSplitFunction = body =>
+          s"""
+             |do {
+             |  $body
+             |} while (false);
+             |return $tmpResult;
+           """.stripMargin,
+        foldFunctions = _.map { funcCall =>
+          s"""
+             |$tmpResult = $funcCall;
+             |if ($tmpResult == $MATCHED) {
+             |  continue;
+             |}
+           """.stripMargin
+        }.mkString("\n"))
+
+      ev.copy(code =
+        code"""
+           |${valueGen.code}
+           |byte $tmpResult = $HAS_NULL;
+           |if (!${valueGen.isNull}) {
+           |  $tmpResult = $NOT_MATCHED;
+           |  $javaDataType $valueArg = ${valueGen.value};
+           |  do {
+           |    $codes
+           |  } while (false);
+           |}
+           |final boolean ${ev.isNull} = ($tmpResult == $HAS_NULL);
+           |final boolean ${ev.value} = ($tmpResult == $MATCHED);
+         """.stripMargin)
+    }
   }
 
   override def sql: String = {
@@ -607,16 +625,27 @@ case class InSet(child: Expression, hset: Set[Any]) extends UnaryExpression with
   override def nullable: Boolean = child.nullable || hasNull
 
   final override val nodePatterns: Seq[TreePattern] = Seq(INSET)
+  private val legacyNullInEmptyBehavior =
+    SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)
 
-  protected override def nullSafeEval(value: Any): Any = {
-    if (set.contains(value)) {
-      true
-    } else if (isNaN(value)) {
-      hasNaN
-    } else if (hasNull) {
-      null
-    } else {
+  override def eval(input: InternalRow): Any = {
+    if (hset.isEmpty && !legacyNullInEmptyBehavior) {
+      // IN (empty list) is always false under current behavior.
+      // Under legacy behavior it's null if the left side is null, otherwise false (SPARK-44550).
       false
+    } else {
+      val value = child.eval(input)
+      if (value == null) {
+        null
+      } else if (set.contains(value)) {
+        true
+      } else if (isNaN(value)) {
+        hasNaN
+      } else if (hasNull) {
+        null
+      } else {
+        false
+      }
     }
   }
 
@@ -629,7 +658,16 @@ case class InSet(child: Expression, hset: Set[Any]) extends UnaryExpression with
   }
 
   override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
-    if (canBeComputedUsingSwitch && hset.size <= SQLConf.get.optimizerInSetSwitchThreshold) {
+    if (hset.isEmpty && !legacyNullInEmptyBehavior) {
+      // IN (empty list) is always false under current behavior.
+      // Under legacy behavior it's null if the left side is null, otherwise false (SPARK-44550).
+      ev.copy(code =
+        code"""
+        ${CodeGenerator.JAVA_BOOLEAN} ${ev.value} = false;
+        ${CodeGenerator.JAVA_BOOLEAN} ${ev.isNull} = false;
+        """
+      )
+    } else if (canBeComputedUsingSwitch && hset.size <= SQLConf.get.optimizerInSetSwitchThreshold) {
       genCodeWithSwitch(ctx, ev)
     } else {
       genCodeWithSet(ctx, ev)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
index 8cb560199c069..d4f0f72c9352b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
@@ -284,11 +284,11 @@ object OptimizeIn extends Rule[LogicalPlan] {
     _.containsPattern(IN), ruleId) {
     case q: LogicalPlan => q.transformExpressionsDownWithPruning(_.containsPattern(IN), ruleId) {
       case In(v, list) if list.isEmpty =>
+        // IN (empty list) is always false under current behavior.
+        // Under legacy behavior it's null if the left side is null, otherwise false (SPARK-44550).
         if (!SQLConf.get.getConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR)) {
           FalseLiteral
         } else {
-          // Incorrect legacy behavior optimizes to null if the left side is null, and otherwise
-          // to false.
           If(IsNotNull(v), FalseLiteral, Literal(null, BooleanType))
         }
       case expr @ In(v, list) if expr.inSetConvertible =>
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/PredicateSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/PredicateSuite.scala
index 73cc9aca56828..55e0dd2179458 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/PredicateSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/PredicateSuite.scala
@@ -134,20 +134,27 @@ class PredicateSuite extends SparkFunSuite with ExpressionEvalHelper {
   }
 
   test("basic IN/INSET predicate test") {
-    checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType), Seq(Literal(1),
-      Literal(2))), null)
-    checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType),
-      Seq(NonFoldableLiteral.create(null, IntegerType))), null)
-    checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType), Seq.empty), null)
-    checkInAndInSet(In(Literal(1), Seq.empty), false)
-    checkInAndInSet(In(Literal(1), Seq(NonFoldableLiteral.create(null, IntegerType))), null)
-    checkInAndInSet(In(Literal(1), Seq(Literal(1), NonFoldableLiteral.create(null, IntegerType))),
-      true)
-    checkInAndInSet(In(Literal(2), Seq(Literal(1), NonFoldableLiteral.create(null, IntegerType))),
-      null)
-    checkInAndInSet(In(Literal(1), Seq(Literal(1), Literal(2))), true)
-    checkInAndInSet(In(Literal(2), Seq(Literal(1), Literal(2))), true)
-    checkInAndInSet(In(Literal(3), Seq(Literal(1), Literal(2))), false)
+    Seq(true, false).foreach { legacyNullInBehavior =>
+      withSQLConf(SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> legacyNullInBehavior.toString) {
+        checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType), Seq(Literal(1),
+          Literal(2))), null)
+        checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType),
+          Seq(NonFoldableLiteral.create(null, IntegerType))), null)
+        checkInAndInSet(In(NonFoldableLiteral.create(null, IntegerType), Seq.empty),
+          expected = if (legacyNullInBehavior) null else false)
+        checkInAndInSet(In(Literal(1), Seq.empty), false)
+        checkInAndInSet(In(Literal(1), Seq(NonFoldableLiteral.create(null, IntegerType))), null)
+        checkInAndInSet(In(Literal(1),
+          Seq(Literal(1), NonFoldableLiteral.create(null, IntegerType))),
+          true)
+        checkInAndInSet(In(Literal(2),
+          Seq(Literal(1), NonFoldableLiteral.create(null, IntegerType))),
+          null)
+        checkInAndInSet(In(Literal(1), Seq(Literal(1), Literal(2))), true)
+        checkInAndInSet(In(Literal(2), Seq(Literal(1), Literal(2))), true)
+        checkInAndInSet(In(Literal(3), Seq(Literal(1), Literal(2))), false)
+      }
+    }
 
     checkEvaluation(
       And(In(Literal(1), Seq(Literal(1), Literal(2))), In(Literal(2), Seq(Literal(1),
diff --git a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
index b893d8970b4d6..cc01887a4e212 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-null-semantics.sql
@@ -1,7 +1,7 @@
 create temp view v (c) as values (1), (null);
 create temp view v_empty (e) as select 1 where false;
 
--- Note: tables and temp views hit different optimization/execution codepaths
+-- Note: tables and temp views hit different optimization/execution codepaths: expressions over temp views are evaled at query compilation time by ConvertToLocalRelation
 create table t(c int) using json;
 insert into t values (1), (null);
 create table t2(d int) using json;
@@ -29,7 +29,6 @@ select null not in (select e from v_empty);
 
 -- IN subquery which is not rewritten to join - here we use IN in the ON condition because that is a case that doesn't get rewritten to join in RewritePredicateSubquery, so we can observe the execution behavior of InSubquery directly
 -- Correct results: column t2.d should be NULL because the ON condition is always false
--- This will be fixed by the execution fixes.
 select * from t left join t2 on (t.c in (select e from t_empty)) is null;
 select * from t left join t2 on (t.c not in (select e from t_empty)) is null;
 
diff --git a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
index 39b03576baaf0..169b49fda846d 100644
--- a/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-null-semantics.sql.out
@@ -137,7 +137,7 @@ select * from t left join t2 on (t.c in (select e from t_empty)) is null
 struct<c:int,d:int>
 -- !query output
 1	NULL
-NULL	2
+NULL	NULL
 
 
 -- !query
@@ -146,7 +146,7 @@ select * from t left join t2 on (t.c not in (select e from t_empty)) is null
 struct<c:int,d:int>
 -- !query output
 1	NULL
-NULL	2
+NULL	NULL
 
 
 -- !query
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala
index c9e016c891e77..1534aba28c4ce 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/EmptyInSuite.scala
@@ -49,9 +49,8 @@ with SharedSparkSession {
         withSQLConf(
           SQLConf.OPTIMIZER_EXCLUDED_RULES.key -> excludedRules,
           SQLConf.LEGACY_NULL_IN_EMPTY_LIST_BEHAVIOR.key -> legacyNullInBehavior.toString) {
-          // We still get legacy behavior with disableOptimizeIn until execution is also fixed
           val expectedResultForNullInEmpty =
-            if (legacyNullInBehavior || disableOptimizeIn) null else false
+            if (legacyNullInBehavior) null else false
           val df = t.select(col("a"), col("a").isin(emptylist: _*))
           checkAnswer(
             df,

From 03dfd4747ae3b59e7e3ac348c30e82b63e1ed269 Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Wed, 9 Aug 2023 18:08:23 +0900
Subject: [PATCH 202/986] [SPARK-44738][PYTHON][CONNECT] Add missing client
 metadata to calls

### What changes were proposed in this pull request?

The refactoring for the re-attachable execution missed properly propagating the client metadata for the individual RPC calls.

### Why are the changes needed?
Compatibility.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing UT

Closes #42409 from grundprinzip/SPARK-44738.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit c73660c3e7279f61fe6e2f6bbf88f410f7ce25a1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/reattach.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index c5c45904c9baa..c6b1beaa121b8 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -135,7 +135,9 @@ def _has_next(self) -> bool:
                         if not attempt.is_first_try():
                             # on retry, the iterator is borked, so we need a new one
                             self._iterator = iter(
-                                self._stub.ReattachExecute(self._create_reattach_execute_request())
+                                self._stub.ReattachExecute(
+                                    self._create_reattach_execute_request(), metadata=self._metadata
+                                )
                             )
 
                         if self._current is None:
@@ -154,7 +156,8 @@ def _has_next(self) -> bool:
                             while not has_next:
                                 self._iterator = iter(
                                     self._stub.ReattachExecute(
-                                        self._create_reattach_execute_request()
+                                        self._create_reattach_execute_request(),
+                                        metadata=self._metadata,
                                     )
                                 )
                                 # shouldn't change
@@ -192,7 +195,7 @@ def target() -> None:
                     can_retry=SparkConnectClient.retry_exception, **self._retry_policy
                 ):
                     with attempt:
-                        self._stub.ReleaseExecute(request)
+                        self._stub.ReleaseExecute(request, metadata=self._metadata)
             except Exception as e:
                 warnings.warn(f"ReleaseExecute failed with exception: {e}.")
 
@@ -220,7 +223,7 @@ def target() -> None:
                     can_retry=SparkConnectClient.retry_exception, **self._retry_policy
                 ):
                     with attempt:
-                        self._stub.ReleaseExecute(request)
+                        self._stub.ReleaseExecute(request, metadata=self._metadata)
             except Exception as e:
                 warnings.warn(f"ReleaseExecute failed with exception: {e}.")
 

From b8204d1b89eea0c32e5269fb155651157e2c96e8 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Wed, 9 Aug 2023 19:16:37 +0800
Subject: [PATCH 203/986] [SPARK-43979][SQL][FOLLOWUP]
 transformUpWithNewOutput` should only be used with new outputs

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41475 . It's risky to use `transformUpWithNewOutput` with existing attribute ids. If the plan contains duplicated attribute ids somewhere, then we will hit conflicting attributes and an assertion error will be thrown by `QueryPlan#transformUpWithNewOutput`.

This PR takes a different approach. We canonicalize the plan first and then remove the alias-only project. Then we don't need `transformUpWithNewOutput` anymore as all attribute ids are normalized in the canonicalized plan.

### Why are the changes needed?

fix potential bugs

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

existing tests

Closes #42408 from cloud-fan/collect-metrics.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 4f25df1dc25cc4f002107821cc67e35c1fe0e42c)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/catalyst/analysis/CheckAnalysis.scala  | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index e198fd58953dd..848749f9e3b37 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -1071,13 +1071,13 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
     def check(plan: LogicalPlan): Unit = plan.foreach { node =>
       node match {
         case metrics @ CollectMetrics(name, _, _) =>
-          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics)
+          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics.canonicalized)
           metricsMap.get(name) match {
             case Some(other) =>
-              val simplifiedOther = simplifyPlanForCollectedMetrics(other)
+              val simplifiedOther = simplifyPlanForCollectedMetrics(other.canonicalized)
               // Exact duplicates are allowed. They can be the result
               // of a CTE that is used multiple times or a self join.
-              if (!simplifiedMetrics.sameResult(simplifiedOther)) {
+              if (simplifiedMetrics != simplifiedOther) {
                 failAnalysis(
                   errorClass = "DUPLICATED_METRICS_NAME",
                   messageParameters = Map("metricName" -> name))
@@ -1102,7 +1102,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
    * duplicates metric definition.
    */
   private def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
-    plan.transformUpWithNewOutput {
+    plan.resolveOperators {
       case p: Project if p.projectList.size == p.child.output.size =>
         val assignExprIdOnly = p.projectList.zip(p.child.output).forall {
           case (left: Alias, right: Attribute) =>
@@ -1110,9 +1110,9 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
           case _ => false
         }
         if (assignExprIdOnly) {
-          (p.child, p.output.zip(p.child.output))
+          p.child
         } else {
-          (p, Nil)
+          p
         }
     }
   }

From 2e566a5b6d3871315b9115753ebb1aab75cdbe13 Mon Sep 17 00:00:00 2001
From: itholic <haejoon.lee@databricks.com>
Date: Wed, 9 Aug 2023 20:32:48 +0900
Subject: [PATCH 204/986] [SPARK-43660][CONNECT][PS][FOLLOWUP] Remove JVM
 dependency for resample

### What changes were proposed in this pull request?

This is follow-up for https://github.com/apache/spark/pull/41877 to remove JVM dependency.

### Why are the changes needed?

To remove JVM dependency from Pandas API on Spark with Spark Connect.

### Does this PR introduce _any_ user-facing change?

No, it's internal handling.

### How was this patch tested?

The existing UT.

Closes #42410 from itholic/resample_followup.

Authored-by: itholic <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit b19a83e236b2732c2af6d0a4d79ebcbca4105c59)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/resample.py | 26 +++++++++-----------------
 1 file changed, 9 insertions(+), 17 deletions(-)

diff --git a/python/pyspark/pandas/resample.py b/python/pyspark/pandas/resample.py
index 30f8c9d31695e..0d2c3cc753cd1 100644
--- a/python/pyspark/pandas/resample.py
+++ b/python/pyspark/pandas/resample.py
@@ -67,7 +67,6 @@
     scol_for,
     verify_temp_column_name,
 )
-from pyspark.sql.utils import is_remote
 from pyspark.pandas.spark.functions import timestampdiff
 
 
@@ -145,22 +144,15 @@ def _agg_columns_scols(self) -> List[Column]:
     def get_make_interval(  # type: ignore[return]
         self, unit: str, col: Union[Column, int, float]
     ) -> Column:
-        if is_remote():
-            from pyspark.sql.connect.functions import lit, make_interval
-
-            col = col if not isinstance(col, (int, float)) else lit(col)  # type: ignore[assignment]
-            if unit == "MONTH":
-                return make_interval(months=col)  # type: ignore
-            if unit == "HOUR":
-                return make_interval(hours=col)  # type: ignore
-            if unit == "MINUTE":
-                return make_interval(mins=col)  # type: ignore
-            if unit == "SECOND":
-                return make_interval(secs=col)  # type: ignore
-        else:
-            sql_utils = SparkContext._active_spark_context._jvm.PythonSQLUtils
-            col = col._jc if isinstance(col, Column) else F.lit(col)._jc
-            return sql_utils.makeInterval(unit, col)
+        col = col if not isinstance(col, (int, float)) else F.lit(col)  # type: ignore[assignment]
+        if unit == "MONTH":
+            return F.make_interval(months=col)  # type: ignore
+        if unit == "HOUR":
+            return F.make_interval(hours=col)  # type: ignore
+        if unit == "MINUTE":
+            return F.make_interval(mins=col)  # type: ignore
+        if unit == "SECOND":
+            return F.make_interval(secs=col)  # type: ignore
 
     def _bin_timestamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
         key_type = self._resamplekey_type

From 39b3dd72bec3f78b55348007dbeaab67d15165f6 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 9 Aug 2023 20:34:19 +0900
Subject: [PATCH 205/986] Revert "[SPARK-43660][CONNECT][PS][FOLLOWUP] Remove
 JVM dependency for resample"

This reverts commit 2e566a5b6d3871315b9115753ebb1aab75cdbe13.
---
 python/pyspark/pandas/resample.py | 26 +++++++++++++++++---------
 1 file changed, 17 insertions(+), 9 deletions(-)

diff --git a/python/pyspark/pandas/resample.py b/python/pyspark/pandas/resample.py
index 0d2c3cc753cd1..30f8c9d31695e 100644
--- a/python/pyspark/pandas/resample.py
+++ b/python/pyspark/pandas/resample.py
@@ -67,6 +67,7 @@
     scol_for,
     verify_temp_column_name,
 )
+from pyspark.sql.utils import is_remote
 from pyspark.pandas.spark.functions import timestampdiff
 
 
@@ -144,15 +145,22 @@ def _agg_columns_scols(self) -> List[Column]:
     def get_make_interval(  # type: ignore[return]
         self, unit: str, col: Union[Column, int, float]
     ) -> Column:
-        col = col if not isinstance(col, (int, float)) else F.lit(col)  # type: ignore[assignment]
-        if unit == "MONTH":
-            return F.make_interval(months=col)  # type: ignore
-        if unit == "HOUR":
-            return F.make_interval(hours=col)  # type: ignore
-        if unit == "MINUTE":
-            return F.make_interval(mins=col)  # type: ignore
-        if unit == "SECOND":
-            return F.make_interval(secs=col)  # type: ignore
+        if is_remote():
+            from pyspark.sql.connect.functions import lit, make_interval
+
+            col = col if not isinstance(col, (int, float)) else lit(col)  # type: ignore[assignment]
+            if unit == "MONTH":
+                return make_interval(months=col)  # type: ignore
+            if unit == "HOUR":
+                return make_interval(hours=col)  # type: ignore
+            if unit == "MINUTE":
+                return make_interval(mins=col)  # type: ignore
+            if unit == "SECOND":
+                return make_interval(secs=col)  # type: ignore
+        else:
+            sql_utils = SparkContext._active_spark_context._jvm.PythonSQLUtils
+            col = col._jc if isinstance(col, Column) else F.lit(col)._jc
+            return sql_utils.makeInterval(unit, col)
 
     def _bin_timestamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
         key_type = self._resamplekey_type

From 767b2b5a8dc8d655ab6787845a87556f15456aaa Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 9 Aug 2023 20:42:20 +0900
Subject: [PATCH 206/986] [SPARK-43429][CONNECT] Deflake SparkSessionSuite

### What changes were proposed in this pull request?
This PR tries to fix flakiness in the `SparkSessionSuite.active session in multiple threads` test. There was a chance that modification could happen before the other thread could check the state. This PR decouples modifcations from checks.

### Why are the changes needed?
Flaky tests are no bueno.

### Does this PR introduce _any_ user-facing change?
Yes.

### How was this patch tested?
It is a test.

Closes #42406 from hvanhovell/SPARK-43429-deflake.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 27c5a1f9f0e322fad0da300afdb75eadd8224b15)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/SparkSessionSuite.scala  | 32 +++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
index f06744399f833..2d7ded2d68858 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
@@ -171,42 +171,74 @@ class SparkSessionSuite extends ConnectFunSuite {
 
     try {
       val script1 = execute { phaser =>
+        // Step 0 - check initial state
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.contains(session1))
         assert(SparkSession.getActiveSession.contains(session2))
 
+        // Step 1 - new active session in script 2
+        phaser.arriveAndAwaitAdvance()
+
+        // Step2 - script 1 is unchanged, script 2 has new active session
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.contains(session1))
         assert(SparkSession.getActiveSession.contains(session2))
+
+        // Step 3 - close session 1, no more default session in both scripts
+        phaser.arriveAndAwaitAdvance()
         session1.close()
 
+        // Step 4 - no default session, same active session.
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.isEmpty)
         assert(SparkSession.getActiveSession.contains(session2))
+
+        // Step 5 - clear active session in script 1
+        phaser.arriveAndAwaitAdvance()
         SparkSession.clearActiveSession()
 
+        // Step 6 - no default/no active session in script 1, script2 unchanged.
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.isEmpty)
         assert(SparkSession.getActiveSession.isEmpty)
+
+        // Step 7 - close active session in script2
+        phaser.arriveAndAwaitAdvance()
       }
       val script2 = execute { phaser =>
+        // Step 0 - check initial state
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.contains(session1))
         assert(SparkSession.getActiveSession.contains(session2))
+
+        // Step 1 - new active session in script 2
+        phaser.arriveAndAwaitAdvance()
         SparkSession.clearActiveSession()
         val internalSession = SparkSession.builder().remote(connectionString3).getOrCreate()
 
+        // Step2 - script 1 is unchanged, script 2 has new active session
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.contains(session1))
         assert(SparkSession.getActiveSession.contains(internalSession))
 
+        // Step 3 - close session 1, no more default session in both scripts
+        phaser.arriveAndAwaitAdvance()
+
+        // Step 4 - no default session, same active session.
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.isEmpty)
         assert(SparkSession.getActiveSession.contains(internalSession))
 
+        // Step 5 - clear active session in script 1
+        phaser.arriveAndAwaitAdvance()
+
+        // Step 6 - no default/no active session in script 1, script2 unchanged.
         phaser.arriveAndAwaitAdvance()
         assert(SparkSession.getDefaultSession.isEmpty)
         assert(SparkSession.getActiveSession.contains(internalSession))
+
+        // Step 7 - close active session in script2
+        phaser.arriveAndAwaitAdvance()
         internalSession.close()
         assert(SparkSession.getActiveSession.isEmpty)
       }

From 6eca5da8d3fba6d1e385f06494030996241937fa Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 9 Aug 2023 15:58:18 +0200
Subject: [PATCH 207/986] [SPARK-44720][CONNECT] Make Dataset use Encoder
 instead of AgnosticEncoder

### What changes were proposed in this pull request?
Make the Spark Connect Dataset use Encoder instead of AgnosticEncoder

### Why are the changes needed?
We want to improve binary compatibility between the Spark Connect Scala Client and the original sql/core APIs.

### Does this PR introduce _any_ user-facing change?
Yes. It changes the type of `Dataset.encoder` from `AgnosticEncoder` to `Encoder`.

### How was this patch tested?
Existing tests.

Closes #42396 from hvanhovell/SPARK-44720.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit be9ffb37585fe421705ceaa52fe49b89c50703a3)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Dataset.scala  | 87 ++++++++++---------
 .../spark/sql/KeyValueGroupedDataset.scala    |  6 +-
 .../sql/streaming/DataStreamWriter.scala      |  2 +-
 .../CheckConnectJvmClientCompatibility.scala  |  3 -
 4 files changed, 50 insertions(+), 48 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 5f263903c8bbc..2d72ea6bda8f3 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -128,11 +128,13 @@ import org.apache.spark.util.SparkClassUtils
 class Dataset[T] private[sql] (
     val sparkSession: SparkSession,
     @DeveloperApi val plan: proto.Plan,
-    val encoder: AgnosticEncoder[T])
+    val encoder: Encoder[T])
     extends Serializable {
   // Make sure we don't forget to set plan id.
   assert(plan.getRoot.getCommon.hasPlanId)
 
+  private[sql] val agnosticEncoder: AgnosticEncoder[T] = encoderFor(encoder)
+
   override def toString: String = {
     try {
       val builder = new mutable.StringBuilder
@@ -828,7 +830,7 @@ class Dataset[T] private[sql] (
   }
 
   private def buildSort(global: Boolean, sortExprs: Seq[Column]): Dataset[T] = {
-    sparkSession.newDataset(encoder) { builder =>
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getSortBuilder
         .setInput(plan.getRoot)
         .setIsGlobal(global)
@@ -878,8 +880,8 @@ class Dataset[T] private[sql] (
       ProductEncoder[(T, U)](
         ClassTag(SparkClassUtils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple2")),
         Seq(
-          EncoderField(s"_1", this.encoder, leftNullable, Metadata.empty),
-          EncoderField(s"_2", other.encoder, rightNullable, Metadata.empty)))
+          EncoderField(s"_1", this.agnosticEncoder, leftNullable, Metadata.empty),
+          EncoderField(s"_2", other.agnosticEncoder, rightNullable, Metadata.empty)))
 
     sparkSession.newDataset(tupleEncoder) { builder =>
       val joinBuilder = builder.getJoinBuilder
@@ -889,8 +891,8 @@ class Dataset[T] private[sql] (
         .setJoinType(joinTypeValue)
         .setJoinCondition(condition.expr)
         .setJoinDataType(joinBuilder.getJoinDataTypeBuilder
-          .setIsLeftStruct(this.encoder.isStruct)
-          .setIsRightStruct(other.encoder.isStruct))
+          .setIsLeftStruct(this.agnosticEncoder.isStruct)
+          .setIsRightStruct(other.agnosticEncoder.isStruct))
     }
   }
 
@@ -1010,13 +1012,13 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   @scala.annotation.varargs
-  def hint(name: String, parameters: Any*): Dataset[T] = sparkSession.newDataset(encoder) {
-    builder =>
+  def hint(name: String, parameters: Any*): Dataset[T] =
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getHintBuilder
         .setInput(plan.getRoot)
         .setName(name)
         .addAllParameters(parameters.map(p => functions.lit(p).expr).asJava)
-  }
+    }
 
   private def getPlanId: Option[Long] =
     if (plan.getRoot.hasCommon && plan.getRoot.getCommon.hasPlanId) {
@@ -1056,7 +1058,7 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def as(alias: String): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
+  def as(alias: String): Dataset[T] = sparkSession.newDataset(agnosticEncoder) { builder =>
     builder.getSubqueryAliasBuilder
       .setInput(plan.getRoot)
       .setAlias(alias)
@@ -1238,8 +1240,9 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def filter(condition: Column): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
-    builder.getFilterBuilder.setInput(plan.getRoot).setCondition(condition.expr)
+  def filter(condition: Column): Dataset[T] = sparkSession.newDataset(agnosticEncoder) {
+    builder =>
+      builder.getFilterBuilder.setInput(plan.getRoot).setCondition(condition.expr)
   }
 
   /**
@@ -1355,12 +1358,12 @@ class Dataset[T] private[sql] (
   def reduce(func: (T, T) => T): T = {
     val udf = ScalarUserDefinedFunction(
       function = func,
-      inputEncoders = encoder :: encoder :: Nil,
-      outputEncoder = encoder)
+      inputEncoders = agnosticEncoder :: agnosticEncoder :: Nil,
+      outputEncoder = agnosticEncoder)
     val reduceExpr = Column.fn("reduce", udf.apply(col("*"), col("*"))).expr
 
     val result = sparkSession
-      .newDataset(encoder) { builder =>
+      .newDataset(agnosticEncoder) { builder =>
         builder.getAggregateBuilder
           .setInput(plan.getRoot)
           .addAggregateExpressions(reduceExpr)
@@ -1718,7 +1721,7 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def limit(n: Int): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
+  def limit(n: Int): Dataset[T] = sparkSession.newDataset(agnosticEncoder) { builder =>
     builder.getLimitBuilder
       .setInput(plan.getRoot)
       .setLimit(n)
@@ -1730,7 +1733,7 @@ class Dataset[T] private[sql] (
    * @group typedrel
    * @since 3.4.0
    */
-  def offset(n: Int): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
+  def offset(n: Int): Dataset[T] = sparkSession.newDataset(agnosticEncoder) { builder =>
     builder.getOffsetBuilder
       .setInput(plan.getRoot)
       .setOffset(n)
@@ -1739,7 +1742,7 @@ class Dataset[T] private[sql] (
   private def buildSetOp(right: Dataset[T], setOpType: proto.SetOperation.SetOpType)(
       f: proto.SetOperation.Builder => Unit): Dataset[T] = {
     checkSameSparkSession(right)
-    sparkSession.newDataset(encoder) { builder =>
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       f(
         builder.getSetOpBuilder
           .setSetOpType(setOpType)
@@ -2012,7 +2015,7 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   def sample(withReplacement: Boolean, fraction: Double, seed: Long): Dataset[T] = {
-    sparkSession.newDataset(encoder) { builder =>
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getSampleBuilder
         .setInput(plan.getRoot)
         .setWithReplacement(withReplacement)
@@ -2080,7 +2083,7 @@ class Dataset[T] private[sql] (
     normalizedCumWeights
       .sliding(2)
       .map { case Array(low, high) =>
-        sparkSession.newDataset(encoder) { builder =>
+        sparkSession.newDataset(agnosticEncoder) { builder =>
           builder.getSampleBuilder
             .setInput(sortedInput)
             .setWithReplacement(false)
@@ -2401,15 +2404,16 @@ class Dataset[T] private[sql] (
 
   private def buildDropDuplicates(
       columns: Option[Seq[String]],
-      withinWaterMark: Boolean): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
-    val dropBuilder = builder.getDeduplicateBuilder
-      .setInput(plan.getRoot)
-      .setWithinWatermark(withinWaterMark)
-    if (columns.isDefined) {
-      dropBuilder.addAllColumnNames(columns.get.asJava)
-    } else {
-      dropBuilder.setAllColumnsAsKeys(true)
-    }
+      withinWaterMark: Boolean): Dataset[T] = sparkSession.newDataset(agnosticEncoder) {
+    builder =>
+      val dropBuilder = builder.getDeduplicateBuilder
+        .setInput(plan.getRoot)
+        .setWithinWatermark(withinWaterMark)
+      if (columns.isDefined) {
+        dropBuilder.addAllColumnNames(columns.get.asJava)
+      } else {
+        dropBuilder.setAllColumnsAsKeys(true)
+      }
   }
 
   /**
@@ -2630,9 +2634,9 @@ class Dataset[T] private[sql] (
   def filter(func: T => Boolean): Dataset[T] = {
     val udf = ScalarUserDefinedFunction(
       function = func,
-      inputEncoders = encoder :: Nil,
+      inputEncoders = agnosticEncoder :: Nil,
       outputEncoder = PrimitiveBooleanEncoder)
-    sparkSession.newDataset[T](encoder) { builder =>
+    sparkSession.newDataset[T](agnosticEncoder) { builder =>
       builder.getFilterBuilder
         .setInput(plan.getRoot)
         .setCondition(udf.apply(col("*")).expr)
@@ -2683,7 +2687,7 @@ class Dataset[T] private[sql] (
     val outputEncoder = encoderFor[U]
     val udf = ScalarUserDefinedFunction(
       function = func,
-      inputEncoders = encoder :: Nil,
+      inputEncoders = agnosticEncoder :: Nil,
       outputEncoder = outputEncoder)
     sparkSession.newDataset(outputEncoder) { builder =>
       builder.getMapPartitionsBuilder
@@ -2785,7 +2789,7 @@ class Dataset[T] private[sql] (
    * @since 3.4.0
    */
   def tail(n: Int): Array[T] = {
-    val lastN = sparkSession.newDataset(encoder) { builder =>
+    val lastN = sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getTailBuilder
         .setInput(plan.getRoot)
         .setLimit(n)
@@ -2856,7 +2860,7 @@ class Dataset[T] private[sql] (
   }
 
   private def buildRepartition(numPartitions: Int, shuffle: Boolean): Dataset[T] = {
-    sparkSession.newDataset(encoder) { builder =>
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getRepartitionBuilder
         .setInput(plan.getRoot)
         .setNumPartitions(numPartitions)
@@ -2866,11 +2870,12 @@ class Dataset[T] private[sql] (
 
   private def buildRepartitionByExpression(
       numPartitions: Option[Int],
-      partitionExprs: Seq[Column]): Dataset[T] = sparkSession.newDataset(encoder) { builder =>
-    val repartitionBuilder = builder.getRepartitionByExpressionBuilder
-      .setInput(plan.getRoot)
-      .addAllPartitionExprs(partitionExprs.map(_.expr).asJava)
-    numPartitions.foreach(repartitionBuilder.setNumPartitions)
+      partitionExprs: Seq[Column]): Dataset[T] = sparkSession.newDataset(agnosticEncoder) {
+    builder =>
+      val repartitionBuilder = builder.getRepartitionByExpressionBuilder
+        .setInput(plan.getRoot)
+        .addAllPartitionExprs(partitionExprs.map(_.expr).asJava)
+      numPartitions.foreach(repartitionBuilder.setNumPartitions)
   }
 
   /**
@@ -3183,7 +3188,7 @@ class Dataset[T] private[sql] (
    * @since 3.5.0
    */
   def withWatermark(eventTime: String, delayThreshold: String): Dataset[T] = {
-    sparkSession.newDataset(encoder) { builder =>
+    sparkSession.newDataset(agnosticEncoder) { builder =>
       builder.getWithWatermarkBuilder
         .setInput(plan.getRoot)
         .setEventTime(eventTime)
@@ -3251,7 +3256,7 @@ class Dataset[T] private[sql] (
     sparkSession.analyze(plan, proto.AnalyzePlanRequest.AnalyzeCase.SCHEMA)
   }
 
-  def collectResult(): SparkResult[T] = sparkSession.execute(plan, encoder)
+  def collectResult(): SparkResult[T] = sparkSession.execute(plan, agnosticEncoder)
 
   private[sql] def withResult[E](f: SparkResult[T] => E): E = {
     val result = collectResult()
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
index e67ef1c0fa7e2..202891c66d748 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
@@ -988,15 +988,15 @@ private object KeyValueGroupedDatasetImpl {
       groupingFunc: V => K): KeyValueGroupedDatasetImpl[K, V, K, V] = {
     val gf = ScalarUserDefinedFunction(
       function = groupingFunc,
-      inputEncoders = ds.encoder :: Nil, // Using the original value and key encoders
+      inputEncoders = ds.agnosticEncoder :: Nil, // Using the original value and key encoders
       outputEncoder = kEncoder)
     new KeyValueGroupedDatasetImpl(
       ds.sparkSession,
       ds.plan,
       kEncoder,
       kEncoder,
-      ds.encoder,
-      ds.encoder,
+      ds.agnosticEncoder,
+      ds.agnosticEncoder,
       Arrays.asList(gf.apply(col("*")).expr),
       UdfUtils.identical(),
       () => ds.map(groupingFunc)(kEncoder))
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
index b395a2d073d6d..b9aa1f5bc5838 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
@@ -216,7 +216,7 @@ final class DataStreamWriter[T] private[sql] (ds: Dataset[T]) extends Logging {
    * @since 3.5.0
    */
   def foreach(writer: ForeachWriter[T]): DataStreamWriter[T] = {
-    val serialized = SparkSerDeUtils.serialize(ForeachWriterPacket(writer, ds.encoder))
+    val serialized = SparkSerDeUtils.serialize(ForeachWriterPacket(writer, ds.agnosticEncoder))
     val scalaWriterBuilder = proto.ScalarScalaUDF
       .newBuilder()
       .setPayload(ByteString.copyFrom(serialized))
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index d380a1bbb653e..4439a5f3e2adb 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -181,7 +181,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.ObservationListener"),
       ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.ObservationListener$"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.queryExecution"),
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.encoder"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.sqlContext"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.metadataColumn"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.selectUntyped"), // protected
@@ -334,8 +333,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.Dataset.plan"
       ), // developer API
-      ProblemFilters.exclude[IncompatibleResultTypeProblem](
-        "org.apache.spark.sql.Dataset.encoder"),
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.Dataset.collectResult"),
 

From 4d67f2c59c660cd1081f6c1bd3002fffca28e936 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 9 Aug 2023 15:25:33 -0700
Subject: [PATCH 208/986] [SPARK-44745][DOCS][K8S] Document shuffle data
 recovery from the remounted K8s PVCs

### What changes were proposed in this pull request?

This PR aims to document an example of shuffle data recovery configuration from the remounted K8s PVCs.

### Why are the changes needed?

This will help the users use this feature more easily.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review because this is a doc-only change.

![Screenshot 2023-08-09 at 1 39 48 PM](https://github.com/apache/spark/assets/9700541/8cc7240b-570d-4c2e-b90a-54795c18df0a)

```
$ kubectl logs -f xxx-exec-16 | grep Kube
...
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover shuffle data.
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Found 192 files
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover /data/spark-x/executor-x/blockmgr-41a810ea-9503-447b-afc7-1cb104cd03cf/11/shuffle_0_11160_0.data
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover /data/spark-x/executor-x/blockmgr-41a810ea-9503-447b-afc7-1cb104cd03cf/0e/shuffle_0_10063_0.data
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Try to recover /data/spark-x/executor-x/blockmgr-41a810ea-9503-447b-afc7-1cb104cd03cf/0e/shuffle_0_10283_0.data
23/08/09 21:09:21 INFO KubernetesLocalDiskShuffleExecutorComponents: Ignore a non-shuffle block file.
```

Closes #42417 from dongjoon-hyun/SPARK-44745.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 4db378fae30733cbd2be41e95a3cd8ad2184e06f)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/running-on-kubernetes.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index d3953592c4ee8..707a76196f3ab 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -394,6 +394,13 @@ spark.kubernetes.executor.volumes.persistentVolumeClaim.spark-local-dir-1.mount.
 spark.kubernetes.executor.volumes.persistentVolumeClaim.spark-local-dir-1.mount.readOnly=false
 ```
 
+To enable shuffle data recovery feature via the built-in `KubernetesLocalDiskShuffleDataIO` plugin, we need to have the followings. You may want to enable `spark.kubernetes.driver.waitToReusePersistentVolumeClaim` additionally.
+
+```
+spark.kubernetes.executor.volumes.persistentVolumeClaim.spark-local-dir-1.mount.path=/data/spark-x/executor-x
+spark.shuffle.sort.io.plugin.class=org.apache.spark.shuffle.KubernetesLocalDiskShuffleDataIO
+```
+
 If no volume is set as local storage, Spark uses temporary scratch space to spill data to disk during shuffles and other operations. When using Kubernetes as the resource manager the pods will be created with an [emptyDir](https://kubernetes.io/docs/concepts/storage/volumes/#emptydir) volume mounted for each directory listed in `spark.local.dir` or the environment variable `SPARK_LOCAL_DIRS` .  If no directories are explicitly specified then a default directory is created and configured appropriately.
 
 `emptyDir` volumes use the ephemeral storage feature of Kubernetes and do not persist beyond the life of the pod.

From 576d1698c7b52b2d9ce00fa2fc5912c92e8bbe67 Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Thu, 10 Aug 2023 08:41:13 +0900
Subject: [PATCH 209/986] [SPARK-44740][CONNECT] Support specifying
 `session_id` in SPARK_REMOTE connection string

### What changes were proposed in this pull request?
To support cross-language session sharing in Spark connect, we need to be able to inject the session ID into the connection string because on the server side, the client-provided session ID is used already together with the user id.

```
SparkSession.builder.remote("sc://localhost/;session_id=abcdefg").getOrCreate()
```

### Why are the changes needed?
ease of use

### Does this PR introduce _any_ user-facing change?
Adds a way to configure the Spark Connect connection string with `session_id`

### How was this patch tested?
Added UT for the parameter.

Closes #42415 from grundprinzip/SPARK-44740.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 7af4e358f3f4902cc9601e56c2662b8921a925d6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/client/SparkConnectClient.scala   | 22 ++++++++++++--
 .../client/SparkConnectClientParser.scala     |  3 ++
 ...rkConnectClientBuilderParseTestSuite.scala |  4 +++
 .../client/SparkConnectClientSuite.scala      |  6 ++++
 .../connect/docs/client-connection-string.md  | 11 +++++++
 python/pyspark/sql/connect/client/core.py     | 30 ++++++++++++++++---
 .../sql/tests/connect/client/test_client.py   |  7 +++++
 .../sql/tests/connect/test_connect_basic.py   | 18 ++++++++++-
 8 files changed, 94 insertions(+), 7 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index a028df536cf88..637499f090ce4 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -56,7 +56,7 @@ private[sql] class SparkConnectClient(
   // Generate a unique session ID for this client. This UUID must be unique to allow
   // concurrent Spark sessions of the same user. If the channel is closed, creating
   // a new client will create a new session ID.
-  private[sql] val sessionId: String = UUID.randomUUID.toString
+  private[sql] val sessionId: String = configuration.sessionId.getOrElse(UUID.randomUUID.toString)
 
   private[client] val artifactManager: ArtifactManager = {
     new ArtifactManager(configuration, sessionId, bstub, stub)
@@ -432,6 +432,7 @@ object SparkConnectClient {
       val PARAM_USE_SSL = "use_ssl"
       val PARAM_TOKEN = "token"
       val PARAM_USER_AGENT = "user_agent"
+      val PARAM_SESSION_ID = "session_id"
     }
 
     private def verifyURI(uri: URI): Unit = {
@@ -463,6 +464,21 @@ object SparkConnectClient {
       this
     }
 
+    def sessionId(value: String): Builder = {
+      try {
+        UUID.fromString(value).toString
+      } catch {
+        case e: IllegalArgumentException =>
+          throw new IllegalArgumentException(
+            "Parameter value 'session_id' must be a valid UUID format.",
+            e)
+      }
+      _configuration = _configuration.copy(sessionId = Some(value))
+      this
+    }
+
+    def sessionId: Option[String] = _configuration.sessionId
+
     def userAgent: String = _configuration.userAgent
 
     def option(key: String, value: String): Builder = {
@@ -490,6 +506,7 @@ object SparkConnectClient {
           case URIParams.PARAM_TOKEN => token(value)
           case URIParams.PARAM_USE_SSL =>
             if (java.lang.Boolean.valueOf(value)) enableSsl() else disableSsl()
+          case URIParams.PARAM_SESSION_ID => sessionId(value)
           case _ => option(key, value)
         }
       }
@@ -576,7 +593,8 @@ object SparkConnectClient {
       userAgent: String = DEFAULT_USER_AGENT,
       retryPolicy: GrpcRetryHandler.RetryPolicy = GrpcRetryHandler.RetryPolicy(),
       useReattachableExecute: Boolean = true,
-      interceptors: List[ClientInterceptor] = List.empty) {
+      interceptors: List[ClientInterceptor] = List.empty,
+      sessionId: Option[String] = None) {
 
     def userContext: proto.UserContext = {
       val builder = proto.UserContext.newBuilder()
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
index dda769dc2adb1..f873e1045bfcd 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
@@ -71,6 +71,9 @@ private[sql] object SparkConnectClientParser {
       case "--user_agent" :: tail =>
         val (value, remainder) = extract("--user_agent", tail)
         parse(remainder, builder.userAgent(value))
+      case "--session_id" :: tail =>
+        val (value, remainder) = extract("--session_id", tail)
+        parse(remainder, builder.sessionId(value))
       case "--option" :: tail =>
         if (args.isEmpty) {
           throw new IllegalArgumentException("--option requires a key-value pair")
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
index 2c6886d0386c5..1dc1fd567ec1a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql.connect.client
 
+import java.util.UUID
+
 import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 
 /**
@@ -46,6 +48,7 @@ class SparkConnectClientBuilderParseTestSuite extends ConnectFunSuite {
   argumentTest("user_id", "U1238", _.userId.get)
   argumentTest("user_name", "alice", _.userName.get)
   argumentTest("user_agent", "MY APP", _.userAgent)
+  argumentTest("session_id", UUID.randomUUID().toString, _.sessionId.get)
 
   test("Argument - remote") {
     val builder =
@@ -55,6 +58,7 @@ class SparkConnectClientBuilderParseTestSuite extends ConnectFunSuite {
     assert(builder.token.contains("nahnah"))
     assert(builder.userId.contains("x127"))
     assert(builder.options === Map(("user_name", "Q"), ("param1", "x")))
+    assert(builder.sessionId.isEmpty)
   }
 
   test("Argument - use_ssl") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index 3436037809dbc..e483e0a7291bd 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -164,6 +164,9 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
       client => {
         assert(client.configuration.host == "localhost")
         assert(client.configuration.port == 1234)
+        assert(client.sessionId != null)
+        // Must be able to parse the UUID
+        assert(UUID.fromString(client.sessionId) != null)
       }),
     TestPackURI(
       "sc://localhost/;",
@@ -193,6 +196,9 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
     TestPackURI("sc://host:123/;use_ssl=true", isCorrect = true),
     TestPackURI("sc://host:123/;token=mySecretToken", isCorrect = true),
     TestPackURI("sc://host:123/;token=", isCorrect = false),
+    TestPackURI("sc://host:123/;session_id=", isCorrect = false),
+    TestPackURI("sc://host:123/;session_id=abcdefgh", isCorrect = false),
+    TestPackURI(s"sc://host:123/;session_id=${UUID.randomUUID().toString}", isCorrect = true),
     TestPackURI("sc://host:123/;use_ssl=true;token=mySecretToken", isCorrect = true),
     TestPackURI("sc://host:123/;token=mySecretToken;use_ssl=true", isCorrect = true),
     TestPackURI("sc://host:123/;use_ssl=false;token=mySecretToken", isCorrect = false),
diff --git a/connector/connect/docs/client-connection-string.md b/connector/connect/docs/client-connection-string.md
index 6e5b0c80db7aa..ebab7cbff4fc1 100644
--- a/connector/connect/docs/client-connection-string.md
+++ b/connector/connect/docs/client-connection-string.md
@@ -91,6 +91,17 @@ sc://hostname:port/;param1=value;param2=value
     <i>Default: </i><pre>_SPARK_CONNECT_PYTHON</pre> in the Python client</td>
     <td><pre>user_agent=my_data_query_app</pre></td>
   </tr>
+  <tr>
+    <td>session_id</td>
+    <td>String</td>
+    <td>In addition to the user ID, the cache of Spark Sessions in the Spark Connect
+    server uses a session ID as the cache key. This option in the connection string
+    allows to provide this session ID to allow sharing Spark Sessions for the same users
+    for example across multiple languages. The value must be provided in a valid UUID 
+    string format.<br/>
+    <i>Default: A UUID generated randomly.</td>
+    <td><pre>session_id=550e8400-e29b-41d4-a716-446655440000</pre></td>
+  </tr>
 </table>
 
 ## Examples
diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index b62621bc3c237..a9da6723a8cdf 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -156,6 +156,7 @@ class ChannelBuilder:
     PARAM_TOKEN = "token"
     PARAM_USER_ID = "user_id"
     PARAM_USER_AGENT = "user_agent"
+    PARAM_SESSION_ID = "session_id"
     MAX_MESSAGE_LENGTH = 128 * 1024 * 1024
 
     @staticmethod
@@ -354,6 +355,22 @@ def get(self, key: str) -> Any:
         """
         return self.params[key]
 
+    @property
+    def session_id(self) -> Optional[str]:
+        """
+        Returns
+        -------
+        The session_id extracted from the parameters of the connection string or `None` if not
+        specified.
+        """
+        session_id = self.params.get(ChannelBuilder.PARAM_SESSION_ID, None)
+        if session_id is not None:
+            try:
+                uuid.UUID(session_id, version=4)
+            except ValueError as ve:
+                raise ValueError("Parameter value 'session_id' must be a valid UUID format.", ve)
+        return session_id
+
     def toChannel(self) -> grpc.Channel:
         """
         Applies the parameters of the connection string and creates a new
@@ -628,10 +645,15 @@ def __init__(
         if retry_policy:
             self._retry_policy.update(retry_policy)
 
-        # Generate a unique session ID for this client. This UUID must be unique to allow
-        # concurrent Spark sessions of the same user. If the channel is closed, creating
-        # a new client will create a new session ID.
-        self._session_id = str(uuid.uuid4())
+        if self._builder.session_id is None:
+            # Generate a unique session ID for this client. This UUID must be unique to allow
+            # concurrent Spark sessions of the same user. If the channel is closed, creating
+            # a new client will create a new session ID.
+            self._session_id = str(uuid.uuid4())
+        else:
+            # Use the pre-defined session ID.
+            self._session_id = str(self._builder.session_id)
+
         if self._builder.userId is not None:
             self._user_id = self._builder.userId
         elif user_id is not None:
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index 9276b88e153b8..9782add92f47d 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -16,6 +16,7 @@
 #
 
 import unittest
+import uuid
 from typing import Optional
 
 from pyspark.sql.connect.client import SparkConnectClient, ChannelBuilder
@@ -88,6 +89,12 @@ def test_is_closed(self):
         client.close()
         self.assertTrue(client.is_closed)
 
+    def test_channel_builder_with_session(self):
+        dummy = str(uuid.uuid4())
+        chan = ChannelBuilder(f"sc://foo/;session_id={dummy}")
+        client = SparkConnectClient(chan)
+        self.assertEqual(client._session_id, chan.session_id)
+
 
 class MockService:
     # Simplest mock of the SparkConnectService.
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 0687fc9f31331..63b65ecce1a38 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -23,6 +23,7 @@
 import shutil
 import string
 import tempfile
+import uuid
 from collections import defaultdict
 
 from pyspark.errors import (
@@ -76,7 +77,7 @@
     from pyspark.sql.connect.dataframe import DataFrame as CDataFrame
     from pyspark.sql import functions as SF
     from pyspark.sql.connect import functions as CF
-    from pyspark.sql.connect.client.core import Retrying
+    from pyspark.sql.connect.client.core import Retrying, SparkConnectClient
 
 
 class SparkConnectSQLTestCase(ReusedConnectTestCase, SQLTestUtils, PandasOnSparkTestUtils):
@@ -3522,6 +3523,21 @@ def test_metadata(self):
         md = chan.metadata()
         self.assertEqual([("param1", "120 21"), ("x-my-header", "abcd")], md)
 
+    def test_metadata(self):
+        id = str(uuid.uuid4())
+        chan = ChannelBuilder(f"sc://host/;session_id={id}")
+        self.assertEqual(id, chan.session_id)
+
+        with self.assertRaises(ValueError) as ve:
+            chan = ChannelBuilder("sc://host/;session_id=abcd")
+            SparkConnectClient(chan)
+        self.assertIn(
+            "Parameter value 'session_id' must be a valid UUID format.", str(ve.exception)
+        )
+
+        chan = ChannelBuilder("sc://host/")
+        self.assertIsNone(chan.session_id)
+
 
 if __name__ == "__main__":
     from pyspark.sql.tests.connect.test_connect_basic import *  # noqa: F401

From 6e4abe11442f2986412909b4ebb4c13487df27b6 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Thu, 10 Aug 2023 09:49:45 +0900
Subject: [PATCH 210/986] [SPARK-44747][CONNECT] Add missing
 SparkSession.Builder methods

### What changes were proposed in this pull request?
This PR adds a couple methods to SparkSession.Builder:
- `conf` - this group of methods allows you to set runtime configurations on the Spark Connect Session.
- `master` - this is a no-op, it is only added for compatibility.
- `appName` - this is a no-op, it is only added for compatibility.
- `enableHiveSupport ` - this is a no-op, it is only added for compatibility.

### Why are the changes needed?
We want to maximize compatiblity with the existing API in sql/core.

### Does this PR introduce _any_ user-facing change?
Yes. It adds a couple of builder methods.

### How was this patch tested?
Add tests to `SparkSessionSuite` and `SparkSessionE2ESuite`.

Closes #42419 from hvanhovell/SPARK-44747.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d27496eb3bf962981e37f989ba486d847745444f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/SparkSession.scala   | 91 ++++++++++++++++++-
 .../spark/sql/SparkSessionE2ESuite.scala      | 46 ++++++++++
 .../apache/spark/sql/SparkSessionSuite.scala  | 10 ++
 .../CheckConnectJvmClientCompatibility.scala  |  6 --
 4 files changed, 146 insertions(+), 7 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 7367ed153f7db..e902e04e24611 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -781,6 +781,7 @@ object SparkSession extends Logging {
   class Builder() extends Logging {
     private val builder = SparkConnectClient.builder()
     private var client: SparkConnectClient = _
+    private[this] val options = new scala.collection.mutable.HashMap[String, String]
 
     def remote(connectionString: String): Builder = {
       builder.connectionString(connectionString)
@@ -804,6 +805,84 @@ object SparkSession extends Logging {
       this
     }
 
+    /**
+     * Sets a config option. Options set using this method are automatically propagated to the
+     * Spark Connect session. Only runtime options are supported.
+     *
+     * @since 3.5.0
+     */
+    def config(key: String, value: String): Builder = synchronized {
+      options += key -> value
+      this
+    }
+
+    /**
+     * Sets a config option. Options set using this method are automatically propagated to the
+     * Spark Connect session. Only runtime options are supported.
+     *
+     * @since 3.5.0
+     */
+    def config(key: String, value: Long): Builder = synchronized {
+      options += key -> value.toString
+      this
+    }
+
+    /**
+     * Sets a config option. Options set using this method are automatically propagated to the
+     * Spark Connect session. Only runtime options are supported.
+     *
+     * @since 3.5.0
+     */
+    def config(key: String, value: Double): Builder = synchronized {
+      options += key -> value.toString
+      this
+    }
+
+    /**
+     * Sets a config option. Options set using this method are automatically propagated to the
+     * Spark Connect session. Only runtime options are supported.
+     *
+     * @since 3.5.0
+     */
+    def config(key: String, value: Boolean): Builder = synchronized {
+      options += key -> value.toString
+      this
+    }
+
+    /**
+     * Sets a config a map of options. Options set using this method are automatically propagated
+     * to the Spark Connect session. Only runtime options are supported.
+     *
+     * @since 3.5.0
+     */
+    def config(map: Map[String, Any]): Builder = synchronized {
+      map.foreach { kv: (String, Any) =>
+        {
+          options += kv._1 -> kv._2.toString
+        }
+      }
+      this
+    }
+
+    /**
+     * Sets a config option. Options set using this method are automatically propagated to both
+     * `SparkConf` and SparkSession's own configuration.
+     *
+     * @since 3.5.0
+     */
+    def config(map: java.util.Map[String, Any]): Builder = synchronized {
+      config(map.asScala.toMap)
+    }
+
+    @deprecated("enableHiveSupport does not work in Spark Connect")
+    def enableHiveSupport(): Builder = this
+
+    @deprecated("master does not work in Spark Connect, please use remote instead")
+    def master(master: String): Builder = this
+
+    @deprecated("appName does not work in Spark Connect")
+    def appName(name: String): Builder = this
+
     private def tryCreateSessionFromClient(): Option[SparkSession] = {
       if (client != null) {
         Option(new SparkSession(client, cleaner, planIdGenerator))
@@ -812,6 +891,12 @@ object SparkSession extends Logging {
       }
     }
 
+    private def applyOptions(session: SparkSession): Unit = {
+      options.foreach { case (key, value) =>
+        session.conf.set(key, value)
+      }
+    }
+
     /**
      * Build the [[SparkSession]].
      *
@@ -833,6 +918,7 @@ object SparkSession extends Logging {
       val session = tryCreateSessionFromClient()
         .getOrElse(SparkSession.this.create(builder.configuration))
       setDefaultAndActiveSession(session)
+      applyOptions(session)
       session
     }
 
@@ -842,7 +928,9 @@ object SparkSession extends Logging {
      * If a session exist with the same configuration that is returned instead of creating a new
      * session.
      *
-     * This method will update the default and/or active session if they are not set.
+     * This method will update the default and/or active session if they are not set. This method
+     * will always set the specified configuration options on the session, even when it is not
+     * newly created.
      *
      * @since 3.5.0
      */
@@ -850,6 +938,7 @@ object SparkSession extends Logging {
       val session = tryCreateSessionFromClient()
         .getOrElse(sessions.get(builder.configuration))
       setDefaultAndActiveSession(session)
+      applyOptions(session)
       session
     }
   }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
index 86deae982a5d0..490bdf9cd86ec 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
@@ -249,4 +249,50 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     }
     assert(e.getMessage contains "OPERATION_CANCELED")
   }
+
+  test("option propagation") {
+    val remote = s"sc://localhost:$serverPort"
+    val session1 = SparkSession
+      .builder()
+      .remote(remote)
+      .config("foo", 12L)
+      .config("bar", value = true)
+      .config("bob", 12.0)
+      .config("heading", "north")
+      .getOrCreate()
+    assert(session1.conf.get("foo") == "12")
+    assert(session1.conf.get("bar") == "true")
+    assert(session1.conf.get("bob") == String.valueOf(12.0))
+    assert(session1.conf.get("heading") == "north")
+
+    // Check if new options are applied to an existing session.
+    val session2 = SparkSession
+      .builder()
+      .remote(remote)
+      .config("heading", "south")
+      .getOrCreate()
+    assert(session2 == session1)
+    assert(session2.conf.get("heading") == "south")
+
+    // Create a completely different session, confs are not support to leak.
+    val session3 = SparkSession
+      .builder()
+      .remote(remote)
+      .config(Map("foo" -> "13", "baar" -> "false", "heading" -> "east"))
+      .create()
+    assert(session3 != session1)
+    assert(session3.conf.get("foo") == "13")
+    assert(session3.conf.get("baar") == "false")
+    assert(session3.conf.getOption("bob").isEmpty)
+    assert(session3.conf.get("heading") == "east")
+
+    // Try to set a static conf.
+    intercept[Exception] {
+      SparkSession
+        .builder()
+        .remote(remote)
+        .config("spark.sql.globalTempDatabase", "not_gonna_happen")
+        .create()
+    }
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
index 2d7ded2d68858..4aa8b4360eebd 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
@@ -251,4 +251,14 @@ class SparkSessionSuite extends ConnectFunSuite {
       executor.shutdown()
     }
   }
+
+  test("deprecated methods") {
+    SparkSession
+      .builder()
+      .master("yayay")
+      .appName("bob")
+      .enableHiveSupport()
+      .create()
+      .close()
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 4439a5f3e2adb..3fc02d7c397f0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -223,14 +223,8 @@ object CheckConnectJvmClientCompatibility {
         "org.apache.spark.sql.SparkSession#implicits._sqlContext"),
 
       // SparkSession#Builder
-      ProblemFilters.exclude[DirectMissingMethodProblem](
-        "org.apache.spark.sql.SparkSession#Builder.appName"),
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.SparkSession#Builder.config"),
-      ProblemFilters.exclude[DirectMissingMethodProblem](
-        "org.apache.spark.sql.SparkSession#Builder.master"),
-      ProblemFilters.exclude[DirectMissingMethodProblem](
-        "org.apache.spark.sql.SparkSession#Builder.enableHiveSupport"),
       ProblemFilters.exclude[DirectMissingMethodProblem](
         "org.apache.spark.sql.SparkSession#Builder.withExtensions"),
 

From 6b55d618d36bdd296b3883916328d26863e94b8a Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Thu, 10 Aug 2023 12:08:13 +0900
Subject: [PATCH 211/986] [SPARK-44461][SS][PYTHON][CONNECT] Verify Python
 Version for spark connect streaming workers

### What changes were proposed in this pull request?

Add python version check for spark connect streaming `foreachBatch_worker` and `listener_worker`

### Why are the changes needed?

Necessary check

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

I believe it can be skipped here

Closes #42421 from WweiL/SPARK-44461-verify-python-ver.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 0eeb6042859e82cedaa0807abe5d6be0229ecd09)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/api/python/StreamingPythonRunner.scala    | 2 +-
 python/pyspark/sql/connect/streaming/query.py                  | 3 ++-
 python/pyspark/sql/connect/streaming/readwriter.py             | 3 ++-
 .../sql/connect/streaming/worker/foreachBatch_worker.py        | 3 +++
 python/pyspark/sql/connect/streaming/worker/listener_worker.py | 3 +++
 5 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index 1a75965eb9234..cddda6fb7a76b 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -83,7 +83,7 @@ private[spark] class StreamingPythonRunner(
     val stream = new BufferedOutputStream(pythonWorker.get.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
 
-    // TODO(SPARK-44461): verify python version
+    PythonWorkerUtils.writePythonVersion(pythonVer, dataOut)
 
     // Send sessionId
     PythonRDD.writeUTF(sessionId, dataOut)
diff --git a/python/pyspark/sql/connect/streaming/query.py b/python/pyspark/sql/connect/streaming/query.py
index 59e98e7bc30f3..021d27e939de8 100644
--- a/python/pyspark/sql/connect/streaming/query.py
+++ b/python/pyspark/sql/connect/streaming/query.py
@@ -23,6 +23,7 @@
 import pyspark.sql.connect.proto as pb2
 from pyspark.serializers import CloudPickleSerializer
 from pyspark.sql.connect import proto
+from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.streaming import StreamingQueryListener
 from pyspark.sql.streaming.query import (
     StreamingQuery as PySparkStreamingQuery,
@@ -237,7 +238,7 @@ def addListener(self, listener: StreamingQueryListener) -> None:
         cmd = pb2.StreamingQueryManagerCommand()
         expr = proto.PythonUDF()
         expr.command = CloudPickleSerializer().dumps(listener)
-        expr.python_ver = "%d.%d" % sys.version_info[:2]
+        expr.python_ver = get_python_ver()
         cmd.add_listener.python_listener_payload.CopyFrom(expr)
         cmd.add_listener.id = listener._id
         self._execute_streaming_query_manager_cmd(cmd)
diff --git a/python/pyspark/sql/connect/streaming/readwriter.py b/python/pyspark/sql/connect/streaming/readwriter.py
index c8cd408404f8f..89097fcf43a01 100644
--- a/python/pyspark/sql/connect/streaming/readwriter.py
+++ b/python/pyspark/sql/connect/streaming/readwriter.py
@@ -31,6 +31,7 @@
     DataStreamReader as PySparkDataStreamReader,
     DataStreamWriter as PySparkDataStreamWriter,
 )
+from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.types import Row, StructType
 from pyspark.errors import PySparkTypeError, PySparkValueError
 
@@ -499,7 +500,7 @@ def foreachBatch(self, func: Callable[["DataFrame", int], None]) -> "DataStreamW
         self._write_proto.foreach_batch.python_function.command = CloudPickleSerializer().dumps(
             func
         )
-        self._write_proto.foreach_batch.python_function.python_ver = "%d.%d" % sys.version_info[:2]
+        self._write_proto.foreach_batch.python_function.python_ver = get_python_ver()
         return self
 
     foreachBatch.__doc__ = PySparkDataStreamWriter.foreachBatch.__doc__
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index 48a9848de4009..cf61463cd6870 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -31,12 +31,15 @@
 from pyspark import worker
 from pyspark.sql import SparkSession
 from typing import IO
+from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
+    check_python_version(infile)
+
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index 7aef911426de7..e1f4678e42f16 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -39,12 +39,15 @@
     QueryTerminatedEvent,
     QueryIdleEvent,
 )
+from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
+    check_python_version(infile)
+
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 

From 1db23d263a16a3a42c8e9280e29f99b25461d8a7 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Thu, 10 Aug 2023 14:56:50 +0800
Subject: [PATCH 212/986] [SPARK-44691][SQL][CONNECT] Move Subclasses of
 AnalysisException to sql/api

### What changes were proposed in this pull request?

- Move subclasses of AnalysisException to sql/api
- Refactor some dependent utilities

### Why are the changes needed?

- Supporting throws these exceptions for better compatibility with the existing control flow behaviors

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

- Existing tests

Closes #42363 from heyihong/SPARK-44691.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d5f1f17278a772689a394e2d10751e5f6655fdbc)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/connector/catalog/Identifier.java     |   0
 .../sql/connector/catalog/IdentifierImpl.java |  10 +-
 .../catalyst/analysis/NonEmptyException.scala |   4 +-
 .../analysis/alreadyExistException.scala      | 185 ++++++++++++++++
 .../analysis/noSuchItemsExceptions.scala      | 205 ++++++++++++++++++
 .../sql/catalyst/util/QuotingUtils.scala      |  24 ++
 .../spark/sql/catalyst/util/StringUtils.scala |   6 -
 .../spark/sql/errors/DataTypeErrorsBase.scala |   4 +-
 .../analysis/AlreadyExistException.scala      | 163 --------------
 .../analysis/NoSuchItemException.scala        | 185 ----------------
 .../spark/sql/catalyst/util/package.scala     |   4 +-
 .../catalog/CatalogV2Implicits.scala          |  10 +-
 12 files changed, 428 insertions(+), 372 deletions(-)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/connector/catalog/Identifier.java (100%)
 rename sql/{catalyst => api}/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java (91%)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala (91%)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/Identifier.java b/sql/api/src/main/java/org/apache/spark/sql/connector/catalog/Identifier.java
similarity index 100%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/Identifier.java
rename to sql/api/src/main/java/org/apache/spark/sql/connector/catalog/Identifier.java
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java b/sql/api/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java
similarity index 91%
rename from sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java
rename to sql/api/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java
index c7aceecabacf8..61894b18fe695 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java
+++ b/sql/api/src/main/java/org/apache/spark/sql/connector/catalog/IdentifierImpl.java
@@ -17,14 +17,14 @@
 
 package org.apache.spark.sql.connector.catalog;
 
+import org.apache.arrow.util.Preconditions;
+
 import java.util.Arrays;
 import java.util.Objects;
 import java.util.StringJoiner;
 
-import com.google.common.base.Preconditions;
-
 import org.apache.spark.annotation.Evolving;
-import org.apache.spark.sql.catalyst.util.package$;
+import org.apache.spark.sql.catalyst.util.QuotingUtils;
 
 /**
  *  An {@link Identifier} implementation.
@@ -56,9 +56,9 @@ public String name() {
   public String toString() {
     StringJoiner joiner = new StringJoiner(".");
     for (String p : namespace) {
-      joiner.add(package$.MODULE$.quoteIfNeeded(p));
+      joiner.add(QuotingUtils.quoteIfNeeded(p));
     }
-    joiner.add(package$.MODULE$.quoteIfNeeded(name));
+    joiner.add(QuotingUtils.quoteIfNeeded(name));
     return joiner.toString();
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala
similarity index 91%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala
index f3ff28f74fcc3..ecd57672b6168 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/NonEmptyException.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.catalyst.analysis
 
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
+import org.apache.spark.sql.catalyst.util.QuotingUtils.quoted
 
 
 /**
@@ -31,6 +31,6 @@ case class NonEmptyNamespaceException(
   extends AnalysisException(message, cause = cause) {
 
   def this(namespace: Array[String]) = {
-    this(s"Namespace '${namespace.quoted}' is non empty.")
+    this(s"Namespace '${quoted(namespace)}' is non empty.")
   }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
new file mode 100644
index 0000000000000..625b6b7c4c540
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
@@ -0,0 +1,185 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.SparkThrowableHelper
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.util.AttributeNameParser
+import org.apache.spark.sql.catalyst.util.QuotingUtils.{quoted, quoteIdentifier, quoteNameParts}
+import org.apache.spark.sql.connector.catalog.Identifier
+
+/**
+ * Thrown by a catalog when an item already exists. The analyzer will rethrow the exception
+ * as an [[org.apache.spark.sql.AnalysisException]] with the correct position information.
+ */
+class DatabaseAlreadyExistsException(db: String)
+  extends NamespaceAlreadyExistsException(Array(db))
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NamespaceAlreadyExistsException private(
+    message: String,
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(namespace: Array[String]) = {
+    this(errorClass = "SCHEMA_ALREADY_EXISTS",
+      Map("schemaName" -> quoteNameParts(namespace)))
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = Some("SCHEMA_ALREADY_EXISTS"),
+      messageParameters = Map.empty[String, String])
+  }
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class TableAlreadyExistsException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String], cause: Option[Throwable]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(db: String, table: String) = {
+    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName" ->
+        (quoteIdentifier(db) + "." + quoteIdentifier(table))),
+      cause = None)
+  }
+
+  def this(table: String) = {
+    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName" ->
+        quoteNameParts(AttributeNameParser.parseAttributeName(table))),
+      cause = None)
+  }
+
+  def this(table: Seq[String]) = {
+    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName" -> quoteNameParts(table)),
+      cause = None)
+  }
+
+  def this(tableIdent: Identifier) = {
+    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName" -> quoted(tableIdent)),
+      cause = None)
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("TABLE_OR_VIEW_ALREADY_EXISTS"),
+      messageParameters = Map.empty[String, String])
+  }
+}
+
+class TempTableAlreadyExistsException(errorClass: String, messageParameters: Map[String, String],
+                                      cause: Option[Throwable] = None)
+  extends AnalysisException(errorClass, messageParameters, cause = cause) {
+  def this(table: String) = {
+    this(errorClass = "TEMP_TABLE_OR_VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName"
+        -> quoteNameParts(AttributeNameParser.parseAttributeName(table))))
+  }
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class ViewAlreadyExistsException(errorClass: String, messageParameters: Map[String, String])
+  extends AnalysisException(errorClass, messageParameters) {
+
+  def this(ident: Identifier) =
+    this(errorClass = "VIEW_ALREADY_EXISTS",
+      messageParameters = Map("relationName" -> quoted(ident)))
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class FunctionAlreadyExistsException(errorClass: String, messageParameters: Map[String, String])
+  extends AnalysisException(errorClass, messageParameters) {
+
+  def this(function: Seq[String]) = {
+    this (errorClass = "ROUTINE_ALREADY_EXISTS",
+      Map("routineName" -> quoteNameParts(function)))
+  }
+
+  def this(db: String, func: String) = {
+    this(Seq(db, func))
+  }
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class IndexAlreadyExistsException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(
+      errorClass: String,
+      messageParameters: Map[String, String],
+      cause: Option[Throwable]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(indexName: String, tableName: String, cause: Option[Throwable]) = {
+    this("INDEX_ALREADY_EXISTS", Map("indexName" -> indexName, "tableName" -> tableName), cause)
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("INDEX_ALREADY_EXISTS"),
+      messageParameters = Map.empty[String, String])
+  }
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala
new file mode 100644
index 0000000000000..7da9777be1530
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala
@@ -0,0 +1,205 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.SparkThrowableHelper
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.util.QuotingUtils.{quoted, quoteIdentifier, quoteNameParts}
+import org.apache.spark.sql.connector.catalog.Identifier
+
+/**
+ * Thrown by a catalog when an item cannot be found. The analyzer will rethrow the exception
+ * as an [[org.apache.spark.sql.AnalysisException]] with the correct position information.
+ */
+case class NoSuchDatabaseException(db: String)
+  extends AnalysisException(errorClass = "SCHEMA_NOT_FOUND",
+    messageParameters = Map("schemaName" -> quoteIdentifier(db)))
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NoSuchNamespaceException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause = None,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(namespace: Seq[String]) = {
+    this(errorClass = "SCHEMA_NOT_FOUND",
+      Map("schemaName" -> quoteNameParts(namespace)))
+  }
+
+  def this(namespace: Array[String]) = {
+    this(errorClass = "SCHEMA_NOT_FOUND",
+      Map("schemaName" -> quoteNameParts(namespace)))
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("SCHEMA_NOT_FOUND"),
+      messageParameters = Map.empty[String, String])
+  }
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NoSuchTableException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause = None,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(db: String, table: String) = {
+    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
+      messageParameters = Map("relationName" ->
+        (quoteIdentifier(db) + "." + quoteIdentifier(table))))
+  }
+
+  def this(name : Seq[String]) = {
+    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
+      messageParameters = Map("relationName" -> quoteNameParts(name)))
+  }
+
+  def this(tableIdent: Identifier) = {
+    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
+      messageParameters = Map("relationName" -> quoted(tableIdent)))
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("TABLE_OR_VIEW_NOT_FOUND"),
+      messageParameters = Map.empty[String, String])
+  }
+}
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NoSuchViewException(errorClass: String, messageParameters: Map[String, String])
+  extends AnalysisException(errorClass, messageParameters) {
+
+  def this(ident: Identifier) =
+    this(errorClass = "VIEW_NOT_FOUND",
+      messageParameters = Map("relationName" -> quoted(ident)))
+}
+
+class NoSuchPermanentFunctionException(db: String, func: String)
+  extends AnalysisException(errorClass = "ROUTINE_NOT_FOUND",
+    Map("routineName" -> (quoteIdentifier(db) + "." + quoteIdentifier(func))))
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NoSuchFunctionException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause = None,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(db: String, func: String) = {
+    this(errorClass = "ROUTINE_NOT_FOUND",
+      Map("routineName" -> (quoteIdentifier(db) + "." + quoteIdentifier(func))))
+  }
+
+  def this(identifier: Identifier) = {
+    this(errorClass = "ROUTINE_NOT_FOUND", Map("routineName" -> quoted(identifier)))
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("ROUTINE_NOT_FOUND"),
+      messageParameters = Map.empty[String, String])
+  }
+}
+
+class NoSuchTempFunctionException(func: String)
+  extends AnalysisException(errorClass = "ROUTINE_NOT_FOUND", Map("routineName" -> s"`$func`"))
+
+// any changes to this class should be backward compatible as it may be used by external connectors
+class NoSuchIndexException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(
+      errorClass: String,
+      messageParameters: Map[String, String],
+      cause: Option[Throwable]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(indexName: String, tableName: String, cause: Option[Throwable]) = {
+    this("INDEX_NOT_FOUND", Map("indexName" -> indexName, "tableName" -> tableName), cause)
+  }
+
+  def this(message: String, cause: Option[Throwable] = None) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("INDEX_NOT_FOUND"),
+      messageParameters = Map.empty[String, String])
+  }
+}
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
index 62015fe206a30..43af533b85a4e 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/QuotingUtils.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql.catalyst.util
 
+import org.apache.spark.sql.connector.catalog.Identifier
+
 object QuotingUtils {
   private def quoteByDefault(elem: String): String = {
     "\"" + elem + "\""
@@ -29,6 +31,16 @@ object QuotingUtils {
     quoteByDefault(schema)
   }
 
+  def quoteIdentifier(name: String): String = {
+    // Escapes back-ticks within the identifier name with double-back-ticks, and then quote the
+    // identifier with back-ticks.
+    "`" + name.replace("`", "``") + "`"
+  }
+
+  def quoteNameParts(name: Seq[String]): String = {
+    name.map(part => quoteIdentifier(part)).mkString(".")
+  }
+
   def quoteIfNeeded(part: String): String = {
     if (part.matches("[a-zA-Z0-9_]+") && !part.matches("\\d+")) {
       part
@@ -37,6 +49,18 @@ object QuotingUtils {
     }
   }
 
+  def quoted(namespace: Array[String]): String = {
+    namespace.map(quoteIfNeeded).mkString(".")
+  }
+
+  def quoted(ident: Identifier): String = {
+    if (ident.namespace.nonEmpty) {
+      ident.namespace.map(quoteIfNeeded).mkString(".") + "." + quoteIfNeeded(ident.name)
+    } else {
+      quoteIfNeeded(ident.name)
+    }
+  }
+
   def escapeSingleQuotedString(str: String): String = {
     val builder = new StringBuilder
 
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
index 3ac81b943581c..c629302214c97 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala
@@ -100,12 +100,6 @@ object SparkStringUtils extends Logging {
     truncatedString(seq, "", sep, "", maxFields)
   }
 
-  def quoteIdentifier(name: String): String = {
-    // Escapes back-ticks within the identifier name with double-back-ticks, and then quote the
-    // identifier with back-ticks.
-    "`" + name.replace("`", "``") + "`"
-  }
-
   /**
    * Returns a pretty string of the byte array which prints each byte as a hex digit and add spaces
    * between them. For example, [1A C0].
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
index 95962f192f2f8..aed3c681365dc 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrorsBase.scala
@@ -20,7 +20,7 @@ import java.util.Locale
 
 import org.apache.spark.QueryContext
 import org.apache.spark.sql.catalyst.trees.SQLQueryContext
-import org.apache.spark.sql.catalyst.util.{AttributeNameParser, QuotingUtils, SparkStringUtils}
+import org.apache.spark.sql.catalyst.util.{AttributeNameParser, QuotingUtils}
 import org.apache.spark.sql.types.{AbstractDataType, DataType, TypeCollection}
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -34,7 +34,7 @@ private[sql] trait DataTypeErrorsBase {
       case Seq("__auto_generated_subquery_name", rest @ _*) if rest != Nil => rest
       case other => other
     }
-    cleaned.map(SparkStringUtils.quoteIdentifier).mkString(".")
+    cleaned.map(QuotingUtils.quoteIdentifier).mkString(".")
   }
 
   def toSQLStmt(text: String): String = {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AlreadyExistException.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AlreadyExistException.scala
index 670a4384da29a..bbac5ab7db3ef 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AlreadyExistException.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AlreadyExistException.scala
@@ -22,121 +22,8 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.util.{quoteIdentifier, quoteNameParts }
-import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
-import org.apache.spark.sql.connector.catalog.Identifier
 import org.apache.spark.sql.types.StructType
 
-/**
- * Thrown by a catalog when an item already exists. The analyzer will rethrow the exception
- * as an [[org.apache.spark.sql.AnalysisException]] with the correct position information.
- */
-class DatabaseAlreadyExistsException(db: String)
-  extends NamespaceAlreadyExistsException(Array(db))
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NamespaceAlreadyExistsException private(
-    message: String,
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(errorClass: String, messageParameters: Map[String, String]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(namespace: Array[String]) = {
-    this(errorClass = "SCHEMA_ALREADY_EXISTS",
-      Map("schemaName" -> quoteNameParts(namespace)))
-  }
-
-  def this(message: String) = {
-    this(
-      message,
-      errorClass = Some("SCHEMA_ALREADY_EXISTS"),
-      messageParameters = Map.empty[String, String])
-  }
-}
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class TableAlreadyExistsException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(errorClass: String, messageParameters: Map[String, String], cause: Option[Throwable]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(db: String, table: String) = {
-    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName" ->
-        (quoteIdentifier(db) + "." + quoteIdentifier(table))),
-      cause = None)
-  }
-
-  def this(table: String) = {
-    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName" ->
-        quoteNameParts(UnresolvedAttribute.parseAttributeName(table))),
-      cause = None)
-  }
-
-  def this(table: Seq[String]) = {
-    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName" -> quoteNameParts(table)),
-      cause = None)
-  }
-
-  def this(tableIdent: Identifier) = {
-    this(errorClass = "TABLE_OR_VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName" -> tableIdent.quoted),
-      cause = None)
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("TABLE_OR_VIEW_ALREADY_EXISTS"),
-      messageParameters = Map.empty[String, String])
-  }
-}
-
-class TempTableAlreadyExistsException(errorClass: String, messageParameters: Map[String, String],
-                                      cause: Option[Throwable] = None)
-  extends AnalysisException(errorClass, messageParameters, cause = cause) {
-  def this(table: String) = {
-    this(errorClass = "TEMP_TABLE_OR_VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName"
-        -> quoteNameParts(UnresolvedAttribute.parseAttributeName(table))))
-  }
-}
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class ViewAlreadyExistsException(errorClass: String, messageParameters: Map[String, String])
-  extends AnalysisException(errorClass, messageParameters) {
-
-  def this(ident: Identifier) =
-    this(errorClass = "VIEW_ALREADY_EXISTS",
-      messageParameters = Map("relationName" -> ident.quoted))
-}
-
 // any changes to this class should be backward compatible as it may be used by external connectors
 class PartitionAlreadyExistsException private(
     message: String,
@@ -226,53 +113,3 @@ class PartitionsAlreadyExistException private(
       messageParameters = Map.empty[String, String])
   }
 }
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class FunctionAlreadyExistsException(errorClass: String, messageParameters: Map[String, String])
-  extends AnalysisException(errorClass, messageParameters) {
-
-  def this(function: Seq[String]) = {
-    this (errorClass = "ROUTINE_ALREADY_EXISTS",
-      Map("routineName" -> quoteNameParts(function)))
-  }
-
-  def this(db: String, func: String) = {
-    this(Seq(db, func))
-  }
-}
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class IndexAlreadyExistsException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(
-      errorClass: String,
-      messageParameters: Map[String, String],
-      cause: Option[Throwable]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(indexName: String, tableName: String, cause: Option[Throwable]) = {
-    this("INDEX_ALREADY_EXISTS", Map("indexName" -> indexName, "tableName" -> tableName), cause)
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("INDEX_ALREADY_EXISTS"),
-      messageParameters = Map.empty[String, String])
-  }
-}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NoSuchItemException.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NoSuchItemException.scala
index f107f924dcb3e..217c293900ec4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NoSuchItemException.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NoSuchItemException.scala
@@ -22,112 +22,8 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.util.{quoteIdentifier, quoteNameParts}
-import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
-import org.apache.spark.sql.connector.catalog.Identifier
 import org.apache.spark.sql.types.StructType
 
-
-/**
- * Thrown by a catalog when an item cannot be found. The analyzer will rethrow the exception
- * as an [[org.apache.spark.sql.AnalysisException]] with the correct position information.
- */
-case class NoSuchDatabaseException(db: String)
-  extends AnalysisException(errorClass = "SCHEMA_NOT_FOUND",
-    messageParameters = Map("schemaName" -> quoteIdentifier(db)))
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NoSuchNamespaceException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(errorClass: String, messageParameters: Map[String, String]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause = None,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(namespace: Seq[String]) = {
-    this(errorClass = "SCHEMA_NOT_FOUND",
-      Map("schemaName" -> quoteNameParts(namespace)))
-  }
-
-  def this(namespace: Array[String]) = {
-    this(errorClass = "SCHEMA_NOT_FOUND",
-      Map("schemaName" -> quoteNameParts(namespace)))
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("SCHEMA_NOT_FOUND"),
-      messageParameters = Map.empty[String, String])
-  }
-}
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NoSuchTableException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(errorClass: String, messageParameters: Map[String, String]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause = None,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(db: String, table: String) = {
-    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
-      messageParameters = Map("relationName" ->
-        (quoteIdentifier(db) + "." + quoteIdentifier(table))))
-  }
-
-  def this(name : Seq[String]) = {
-    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
-      messageParameters = Map("relationName" -> quoteNameParts(name)))
-  }
-
-  def this(tableIdent: Identifier) = {
-    this(errorClass = "TABLE_OR_VIEW_NOT_FOUND",
-      messageParameters = Map("relationName" -> tableIdent.quoted))
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("TABLE_OR_VIEW_NOT_FOUND"),
-      messageParameters = Map.empty[String, String])
-  }
-}
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NoSuchViewException(errorClass: String, messageParameters: Map[String, String])
-  extends AnalysisException(errorClass, messageParameters) {
-
-  def this(ident: Identifier) =
-    this(errorClass = "VIEW_NOT_FOUND",
-      messageParameters = Map("relationName" -> ident.quoted))
-}
-
 // any changes to this class should be backward compatible as it may be used by external connectors
 class NoSuchPartitionException private(
     message: String,
@@ -169,48 +65,6 @@ class NoSuchPartitionException private(
   }
 }
 
-class NoSuchPermanentFunctionException(db: String, func: String)
-  extends AnalysisException(errorClass = "ROUTINE_NOT_FOUND",
-    Map("routineName" -> (quoteIdentifier(db) + "." + quoteIdentifier(func))))
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NoSuchFunctionException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(errorClass: String, messageParameters: Map[String, String]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause = None,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(db: String, func: String) = {
-    this(errorClass = "ROUTINE_NOT_FOUND",
-      Map("routineName" -> (quoteIdentifier(db) + "." + quoteIdentifier(func))))
-  }
-
-  def this(identifier: Identifier) = {
-    this(errorClass = "ROUTINE_NOT_FOUND", Map("routineName" -> identifier.quoted))
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("ROUTINE_NOT_FOUND"),
-      messageParameters = Map.empty[String, String])
-  }
-}
-
 // any changes to this class should be backward compatible as it may be used by external connectors
 class NoSuchPartitionsException private(
     message: String,
@@ -252,42 +106,3 @@ class NoSuchPartitionsException private(
       messageParameters = Map.empty[String, String])
   }
 }
-
-class NoSuchTempFunctionException(func: String)
-  extends AnalysisException(errorClass = "ROUTINE_NOT_FOUND", Map("routineName" -> s"`$func`"))
-
-// any changes to this class should be backward compatible as it may be used by external connectors
-class NoSuchIndexException private(
-    message: String,
-    cause: Option[Throwable],
-    errorClass: Option[String],
-    messageParameters: Map[String, String])
-  extends AnalysisException(
-    message,
-    cause = cause,
-    errorClass = errorClass,
-    messageParameters = messageParameters) {
-
-  def this(
-      errorClass: String,
-      messageParameters: Map[String, String],
-      cause: Option[Throwable]) = {
-    this(
-      SparkThrowableHelper.getMessage(errorClass, messageParameters),
-      cause,
-      Some(errorClass),
-      messageParameters)
-  }
-
-  def this(indexName: String, tableName: String, cause: Option[Throwable]) = {
-    this("INDEX_NOT_FOUND", Map("indexName" -> indexName, "tableName" -> tableName), cause)
-  }
-
-  def this(message: String, cause: Option[Throwable] = None) = {
-    this(
-      message,
-      cause,
-      errorClass = Some("INDEX_NOT_FOUND"),
-      messageParameters = Map.empty[String, String])
-  }
-}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
index 78d4beab41473..98eb2ade985f2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala
@@ -110,11 +110,11 @@ package object util extends Logging {
   }
 
   def quoteIdentifier(name: String): String = {
-    SparkStringUtils.quoteIdentifier(name)
+    QuotingUtils.quoteIdentifier(name)
   }
 
   def quoteNameParts(name: Seq[String]): String = {
-    name.map(part => quoteIdentifier(part)).mkString(".")
+    QuotingUtils.quoteNameParts(name)
   }
 
   def quoteIfNeeded(part: String): String = {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Implicits.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Implicits.scala
index 4ca926abad3a6..5557957bccd62 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Implicits.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Implicits.scala
@@ -24,7 +24,7 @@ import org.apache.spark.sql.catalyst.catalog.BucketSpec
 import org.apache.spark.sql.catalyst.expressions.AttributeReference
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
-import org.apache.spark.sql.catalyst.util.quoteIfNeeded
+import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, QuotingUtils}
 import org.apache.spark.sql.connector.expressions.{BucketTransform, FieldReference, IdentityTransform, LogicalExpressions, Transform}
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.types.StructType
@@ -110,7 +110,7 @@ private[sql] object CatalogV2Implicits {
   }
 
   implicit class NamespaceHelper(namespace: Array[String]) {
-    def quoted: String = namespace.map(quoteIfNeeded).mkString(".")
+    def quoted: String = QuotingUtils.quoted(namespace)
   }
 
   implicit class FunctionIdentifierHelper(ident: FunctionIdentifier) {
@@ -126,11 +126,7 @@ private[sql] object CatalogV2Implicits {
 
   implicit class IdentifierHelper(ident: Identifier) {
     def quoted: String = {
-      if (ident.namespace.nonEmpty) {
-        ident.namespace.map(quoteIfNeeded).mkString(".") + "." + quoteIfNeeded(ident.name)
-      } else {
-        quoteIfNeeded(ident.name)
-      }
+      QuotingUtils.quoted(ident)
     }
 
     def original: String = ident.namespace() :+ ident.name() mkString "."

From fc58395f08ba81e84e60b9f0260f257a6f8b4fc1 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 10 Aug 2023 15:17:53 -0700
Subject: [PATCH 213/986] Revert "[SPARK-44461][SS][PYTHON][CONNECT] Verify
 Python Version for spark connect streaming workers"

This reverts commit 6b55d618d36bdd296b3883916328d26863e94b8a.
---
 .../org/apache/spark/api/python/StreamingPythonRunner.scala    | 2 +-
 python/pyspark/sql/connect/streaming/query.py                  | 3 +--
 python/pyspark/sql/connect/streaming/readwriter.py             | 3 +--
 .../sql/connect/streaming/worker/foreachBatch_worker.py        | 3 ---
 python/pyspark/sql/connect/streaming/worker/listener_worker.py | 3 ---
 5 files changed, 3 insertions(+), 11 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index cddda6fb7a76b..1a75965eb9234 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -83,7 +83,7 @@ private[spark] class StreamingPythonRunner(
     val stream = new BufferedOutputStream(pythonWorker.get.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
 
-    PythonWorkerUtils.writePythonVersion(pythonVer, dataOut)
+    // TODO(SPARK-44461): verify python version
 
     // Send sessionId
     PythonRDD.writeUTF(sessionId, dataOut)
diff --git a/python/pyspark/sql/connect/streaming/query.py b/python/pyspark/sql/connect/streaming/query.py
index 021d27e939de8..59e98e7bc30f3 100644
--- a/python/pyspark/sql/connect/streaming/query.py
+++ b/python/pyspark/sql/connect/streaming/query.py
@@ -23,7 +23,6 @@
 import pyspark.sql.connect.proto as pb2
 from pyspark.serializers import CloudPickleSerializer
 from pyspark.sql.connect import proto
-from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.streaming import StreamingQueryListener
 from pyspark.sql.streaming.query import (
     StreamingQuery as PySparkStreamingQuery,
@@ -238,7 +237,7 @@ def addListener(self, listener: StreamingQueryListener) -> None:
         cmd = pb2.StreamingQueryManagerCommand()
         expr = proto.PythonUDF()
         expr.command = CloudPickleSerializer().dumps(listener)
-        expr.python_ver = get_python_ver()
+        expr.python_ver = "%d.%d" % sys.version_info[:2]
         cmd.add_listener.python_listener_payload.CopyFrom(expr)
         cmd.add_listener.id = listener._id
         self._execute_streaming_query_manager_cmd(cmd)
diff --git a/python/pyspark/sql/connect/streaming/readwriter.py b/python/pyspark/sql/connect/streaming/readwriter.py
index 89097fcf43a01..c8cd408404f8f 100644
--- a/python/pyspark/sql/connect/streaming/readwriter.py
+++ b/python/pyspark/sql/connect/streaming/readwriter.py
@@ -31,7 +31,6 @@
     DataStreamReader as PySparkDataStreamReader,
     DataStreamWriter as PySparkDataStreamWriter,
 )
-from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.types import Row, StructType
 from pyspark.errors import PySparkTypeError, PySparkValueError
 
@@ -500,7 +499,7 @@ def foreachBatch(self, func: Callable[["DataFrame", int], None]) -> "DataStreamW
         self._write_proto.foreach_batch.python_function.command = CloudPickleSerializer().dumps(
             func
         )
-        self._write_proto.foreach_batch.python_function.python_ver = get_python_ver()
+        self._write_proto.foreach_batch.python_function.python_ver = "%d.%d" % sys.version_info[:2]
         return self
 
     foreachBatch.__doc__ = PySparkDataStreamWriter.foreachBatch.__doc__
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index cf61463cd6870..48a9848de4009 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -31,15 +31,12 @@
 from pyspark import worker
 from pyspark.sql import SparkSession
 from typing import IO
-from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
-    check_python_version(infile)
-
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index e1f4678e42f16..7aef911426de7 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -39,15 +39,12 @@
     QueryTerminatedEvent,
     QueryIdleEvent,
 )
-from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
-    check_python_version(infile)
-
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 

From ce0f215534bf722821fd7821c9b7adfba2c16a37 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 11 Aug 2023 10:23:01 +0900
Subject: [PATCH 214/986] [SPARK-44766][PYTHON] Cache the pandas converter for
 reuse for Python UDTFs

### What changes were proposed in this pull request?

This PR caches the pandas converter for reuse when serializing the results from arrow-optimized Python UDTFs.

### Why are the changes needed?

To improve the performance

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

Closes #42439 from allisonwang-db/spark-44766-cache-converter.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 8fe50fcdb6a34b06c07c235f497b77cc5e245877)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/pandas/serializers.py | 20 +++++++++++++-------
 1 file changed, 13 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/pandas/serializers.py b/python/pyspark/sql/pandas/serializers.py
index d1a3babb1fdc0..2cc3db15c9cd5 100644
--- a/python/pyspark/sql/pandas/serializers.py
+++ b/python/pyspark/sql/pandas/serializers.py
@@ -499,6 +499,7 @@ def __init__(self, timezone, safecheck):
             # Enables explicit casting for mismatched return types of Arrow Python UDTFs.
             arrow_cast=True,
         )
+        self._converter_map = dict()
 
     def _create_batch(self, series):
         """
@@ -538,6 +539,17 @@ def _create_batch(self, series):
 
         return pa.RecordBatch.from_arrays(arrs, ["_%d" % i for i in range(len(arrs))])
 
+    def _get_or_create_converter_from_pandas(self, dt):
+        if dt not in self._converter_map:
+            conv = _create_converter_from_pandas(
+                dt,
+                timezone=self._timezone,
+                error_on_duplicated_field_names=False,
+                ignore_unexpected_complex_type_values=True,
+            )
+            self._converter_map[dt] = conv
+        return self._converter_map[dt]
+
     def _create_array(self, series, arrow_type, spark_type=None, arrow_cast=False):
         """
         Override the `_create_array` method in the superclass to create an Arrow Array
@@ -569,13 +581,7 @@ def _create_array(self, series, arrow_type, spark_type=None, arrow_cast=False):
 
         if arrow_type is not None:
             dt = spark_type or from_arrow_type(arrow_type, prefer_timestamp_ntz=True)
-            # TODO(SPARK-43579): cache the converter for reuse
-            conv = _create_converter_from_pandas(
-                dt,
-                timezone=self._timezone,
-                error_on_duplicated_field_names=False,
-                ignore_unexpected_complex_type_values=True,
-            )
+            conv = self._get_or_create_converter_from_pandas(dt)
             series = conv(series)
 
         if hasattr(series.array, "__arrow_array__"):

From 1a3dce36e2ad8d0e0bb2e1123864764077320466 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Fri, 11 Aug 2023 10:23:56 +0900
Subject: [PATCH 215/986] [SPARK-43032][FOLLOWUP][SS][CONNECT]
 StreamingQueryManager bug fix

When calling `spark.streams.get(q.id)` on a stopped query q. It should return None in python and null in scala client. But right now it throws a null pointer exception. This PR fixes this issue.

Bug fix

No

Added unit tests

Closes #42437 from WweiL/streaming-query-manager-get-bug-fix.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 42eb4223628653db71950f161a745432d1b45502)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/streaming/ClientStreamingQuerySuite.scala   |  2 ++
 .../sql/connect/planner/SparkConnectPlanner.scala   |  5 +++--
 .../pyspark/sql/tests/streaming/test_streaming.py   | 13 +++++++++++++
 3 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
index f9e6e6864953f..ab92431bc116a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
@@ -268,6 +268,8 @@ class ClientStreamingQuerySuite extends QueryTest with SQLHelper with Logging {
 
     q.stop()
     assert(!q1.isActive)
+
+    assert(spark.streams.get(q.id) == null)
   }
 
   test("streaming query listener") {
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index d59d01b4ce34f..49bac17a4f407 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -3059,8 +3059,9 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
             .asJava)
 
       case StreamingQueryManagerCommand.CommandCase.GET_QUERY =>
-        val query = session.streams.get(command.getGetQuery)
-        respBuilder.setQuery(buildStreamingQueryInstance(query))
+        Option(session.streams.get(command.getGetQuery)).foreach { q =>
+          respBuilder.setQuery(buildStreamingQueryInstance(q))
+        }
 
       case StreamingQueryManagerCommand.CommandCase.AWAIT_ANY_TERMINATION =>
         if (command.getAwaitAnyTermination.hasTimeoutMs) {
diff --git a/python/pyspark/sql/tests/streaming/test_streaming.py b/python/pyspark/sql/tests/streaming/test_streaming.py
index 52fa19a864200..0eea86dc73756 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming.py
@@ -315,6 +315,19 @@ def _assert_exception_tree_contains_msg_default(self, exception, msg):
             contains = msg in e.desc
         self.assertTrue(contains, "Exception tree doesn't contain the expected message: %s" % msg)
 
+    def test_query_manager_get(self):
+        df = self.spark.readStream.format("rate").load()
+        for q in self.spark.streams.active:
+            q.stop()
+        q = df.writeStream.format("noop").start()
+
+        self.assertTrue(q.isActive)
+        self.assertTrue(q.id == self.spark.streams.get(q.id).id)
+
+        q.stop()
+
+        self.assertIsNone(self.spark.streams.get(q.id))
+
     def test_query_manager_await_termination(self):
         df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
         for q in self.spark.streams.active:

From 98cd980f57e9e78e5a18288cc28f3f4653a02ebe Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 11 Aug 2023 10:28:25 +0900
Subject: [PATCH 216/986] [SPARK-44765][CONNECT] Simplify retries of
 ReleaseExecute

### What changes were proposed in this pull request?

Simplify retries of ReleaseExecute in ExecutePlanResponseReattachableIterator.
Instead of chaining asynchronous calls, use the common retry loop logic from the asynchronous onError after first error.
This allows to reuse the common `retry` function instead of having to duplicate
```
        case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
          Thread.sleep(
            (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
              .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
```
logic.

This also brings this retries to be more similar to how it is in the python client.

### Why are the changes needed?

Code simplification.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Checked retries by printing `new Exception().printStackTrace` from the handler:
```
java.lang.Exception
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator$$anon$1.$anonfun$onError$1(ExecutePlanResponseReattachableIterator.scala:242)
        at org.apache.spark.sql.connect.client.GrpcRetryHandler$.retry(GrpcRetryHandler.scala:169)
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator.org$apache$spark$sql$connect$client$ExecutePlanResponseReattachableIterator$$retry(ExecutePlanResponseReattachableIterator.scala:306)
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator$$anon$1.onError(ExecutePlanResponseReattachableIterator.scala:241)
        at io.grpc.stub.ClientCalls$StreamObserverToCallListenerAdapter.onClose(ClientCalls.java:491)
        at io.grpc.internal.ClientCallImpl.closeObserver(ClientCallImpl.java:567)
        at io.grpc.internal.ClientCallImpl.access$300(ClientCallImpl.java:71)
        at io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInternal(ClientCallImpl.java:735)
        at io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInContext(ClientCallImpl.java:716)
        at io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
        at io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
java.lang.Exception
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator$$anon$1.$anonfun$onError$1(ExecutePlanResponseReattachableIterator.scala:242)
        at org.apache.spark.sql.connect.client.GrpcRetryHandler$.retry(GrpcRetryHandler.scala:169)
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator.org$apache$spark$sql$connect$client$ExecutePlanResponseReattachableIterator$$retry(ExecutePlanResponseReattachableIterator.scala:306)
        at org.apache.spark.sql.connect.client.ExecutePlanResponseReattachableIterator$$anon$1.onError(ExecutePlanResponseReattachableIterator.scala:241)
        at io.grpc.stub.ClientCalls$StreamObserverToCallListenerAdapter.onClose(ClientCalls.java:491)
        at io.grpc.internal.ClientCallImpl.closeObserver(ClientCallImpl.java:567)
        at io.grpc.internal.ClientCallImpl.access$300(ClientCallImpl.java:71)
        at io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInternal(ClientCallImpl.java:735)
        at io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInContext(ClientCallImpl.java:716)
        at io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
        at io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
...
```

Closes #42438 from juliuszsompolski/SPARK-44765.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9bde882fcb39e9fedced0df9702df2a36c1a84e6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 ...cutePlanResponseReattachableIterator.scala | 36 +++++++++++--------
 1 file changed, 21 insertions(+), 15 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 7a50801d8a6e5..5ef1151682b1d 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -180,7 +180,7 @@ class ExecutePlanResponseReattachableIterator(
   private def releaseUntil(untilResponseId: String): Unit = {
     if (!resultComplete) {
       val request = createReleaseExecuteRequest(Some(untilResponseId))
-      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserver(request))
     }
   }
 
@@ -194,7 +194,7 @@ class ExecutePlanResponseReattachableIterator(
   private def releaseAll(): Unit = {
     if (!resultComplete) {
       val request = createReleaseExecuteRequest(None)
-      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserer(request))
+      rawAsyncStub.releaseExecute(request, createRetryingReleaseExecuteResponseObserver(request))
       resultComplete = true
     }
   }
@@ -229,22 +229,28 @@ class ExecutePlanResponseReattachableIterator(
    * ReleaseExecute and continues with iteration, but if it fails with a retryable error, the
    * callback will retrigger the asynchronous ReleaseExecute.
    */
-  private def createRetryingReleaseExecuteResponseObserer(
-      requestForRetry: proto.ReleaseExecuteRequest,
-      currentRetryNum: Int = 0): StreamObserver[proto.ReleaseExecuteResponse] = {
+  private def createRetryingReleaseExecuteResponseObserver(
+      requestForRetry: proto.ReleaseExecuteRequest)
+      : StreamObserver[proto.ReleaseExecuteResponse] = {
     new StreamObserver[proto.ReleaseExecuteResponse] {
       override def onNext(v: proto.ReleaseExecuteResponse): Unit = {}
       override def onCompleted(): Unit = {}
-      override def onError(t: Throwable): Unit = t match {
-        case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
-          Thread.sleep(
-            (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
-              .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
-          rawAsyncStub.releaseExecute(
-            requestForRetry,
-            createRetryingReleaseExecuteResponseObserer(requestForRetry, currentRetryNum + 1))
-        case _ =>
-          logWarning(s"ReleaseExecute failed with exception: $t.")
+      override def onError(t: Throwable): Unit = {
+        var firstTry = true
+        try {
+          retry {
+            if (firstTry) {
+              firstTry = false
+              throw t // we already failed once, handle first retry
+            } else {
+              // we already are in async execution thread, can execute further retries sync
+              rawBlockingStub.releaseExecute(requestForRetry)
+            }
+          }
+        } catch {
+          case NonFatal(e) =>
+            logWarning(s"ReleaseExecute failed with exception: $e.")
+        }
       }
     }
   }

From 898f3d8a0bdc044838a576789c9f26e96e73bc60 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 10 Aug 2023 23:04:07 -0700
Subject: [PATCH 217/986] Revert "[SPARK-43979][SQL][FOLLOWUP]
 transformUpWithNewOutput` should only be used with new outputs"

This reverts commit b8204d1b89eea0c32e5269fb155651157e2c96e8.
---
 .../spark/sql/catalyst/analysis/CheckAnalysis.scala  | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 848749f9e3b37..e198fd58953dd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -1071,13 +1071,13 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
     def check(plan: LogicalPlan): Unit = plan.foreach { node =>
       node match {
         case metrics @ CollectMetrics(name, _, _) =>
-          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics.canonicalized)
+          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics)
           metricsMap.get(name) match {
             case Some(other) =>
-              val simplifiedOther = simplifyPlanForCollectedMetrics(other.canonicalized)
+              val simplifiedOther = simplifyPlanForCollectedMetrics(other)
               // Exact duplicates are allowed. They can be the result
               // of a CTE that is used multiple times or a self join.
-              if (simplifiedMetrics != simplifiedOther) {
+              if (!simplifiedMetrics.sameResult(simplifiedOther)) {
                 failAnalysis(
                   errorClass = "DUPLICATED_METRICS_NAME",
                   messageParameters = Map("metricName" -> name))
@@ -1102,7 +1102,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
    * duplicates metric definition.
    */
   private def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
-    plan.resolveOperators {
+    plan.transformUpWithNewOutput {
       case p: Project if p.projectList.size == p.child.output.size =>
         val assignExprIdOnly = p.projectList.zip(p.child.output).forall {
           case (left: Alias, right: Attribute) =>
@@ -1110,9 +1110,9 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
           case _ => false
         }
         if (assignExprIdOnly) {
-          p.child
+          (p.child, p.output.zip(p.child.output))
         } else {
-          p
+          (p, Nil)
         }
     }
   }

From 0272916697f56dd26df2bd3e27b5b68ef72d099c Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 11 Aug 2023 14:58:46 +0800
Subject: [PATCH 218/986] [SPARK-44737][SQL][UI] Should not display json format
 errors on SQL page for non-SparkThrowables on SQL Tab

### What changes were proposed in this pull request?

This pull request addresses the issue of inconsistent display for SparkThrowables and others. Currently, SparkThrowables appear as plain text while others are displayed in JSON format on SQL Tab. This fix aims to make the display consistent across all items.

### Why are the changes needed?

To fix the inconsistent behavior, and the JSON format is not correctly displayed.

For those non-SparkThrowables thrown by SQLExecution may contain errors either that we are not ready covered by the new error handling framework or some critical path(what I have met is OOM in RDD.getPartitions), we shall supply the stacktraces

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

add a unit test

Closes #42407 from yaooqinn/SPARK-44737.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 5bb9cd8e55ffdbe88d82f6140583ba4cef219d9a)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/SparkThrowableHelper.scala   | 14 ----
 .../spark/sql/execution/SQLExecution.scala    |  3 +-
 .../sql/execution/SQLJsonProtocolSuite.scala  | 15 ++--
 .../ui/SQLAppStatusListenerSuite.scala        |  9 +--
 .../sql/execution/ui/UISeleniumSuite.scala    | 74 +++++++++++++++++++
 5 files changed, 87 insertions(+), 28 deletions(-)
 create mode 100644 sql/core/src/test/scala/org/apache/spark/sql/execution/ui/UISeleniumSuite.scala

diff --git a/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala b/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
index 5106460d145c7..0f329b5655b32 100644
--- a/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
+++ b/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
@@ -19,8 +19,6 @@ package org.apache.spark
 
 import scala.collection.JavaConverters._
 
-import com.fasterxml.jackson.core.util.MinimalPrettyPrinter
-
 import org.apache.spark.util.JsonUtils.toJsonString
 import org.apache.spark.util.SparkClassUtils
 
@@ -121,16 +119,4 @@ private[spark] object SparkThrowableHelper {
         }
     }
   }
-
-  def getMessage(throwable: Throwable): String = {
-    toJsonString { generator =>
-      val g = generator.setPrettyPrinter(new MinimalPrettyPrinter)
-      g.writeStartObject()
-      g.writeStringField("errorClass", throwable.getClass.getCanonicalName)
-      g.writeObjectFieldStart("messageParameters")
-      g.writeStringField("message", throwable.getMessage)
-      g.writeEndObject()
-      g.writeEndObject()
-    }
-  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
index 66de9d37db0a9..daeac699c2791 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
@@ -133,8 +133,7 @@ object SQLExecution {
             case e: SparkThrowable =>
               SparkThrowableHelper.getMessage(e, ErrorMessageFormat.PRETTY)
             case e =>
-              // unexpected behavior
-              SparkThrowableHelper.getMessage(e)
+              Utils.exceptionString(e)
           }
           val event = SparkListenerSQLExecutionEnd(
             executionId,
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLJsonProtocolSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLJsonProtocolSuite.scala
index 49cca666d1d60..8f7e68632bf4f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLJsonProtocolSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLJsonProtocolSuite.scala
@@ -17,14 +17,15 @@
 
 package org.apache.spark.sql.execution
 
+import com.fasterxml.jackson.databind.ObjectMapper
 import org.json4s.jackson.JsonMethods._
 
-import org.apache.spark.{SparkFunSuite, SparkThrowableHelper}
+import org.apache.spark.SparkFunSuite
 import org.apache.spark.scheduler.SparkListenerEvent
 import org.apache.spark.sql.LocalSparkSession
 import org.apache.spark.sql.execution.ui.{SparkListenerSQLExecutionEnd, SparkListenerSQLExecutionStart}
 import org.apache.spark.sql.test.TestSparkSession
-import org.apache.spark.util.JsonProtocol
+import org.apache.spark.util.{JsonProtocol, Utils}
 
 class SQLJsonProtocolSuite extends SparkFunSuite with LocalSparkSession {
 
@@ -84,21 +85,23 @@ class SQLJsonProtocolSuite extends SparkFunSuite with LocalSparkSession {
   test("SparkListenerSQLExecutionEnd backward compatibility") {
     spark = new TestSparkSession()
     val qe = spark.sql("select 1").queryExecution
-    val errorMessage = SparkThrowableHelper.getMessage(new Exception("test"))
+    val exception = new Exception("test")
+    val errorMessage = Utils.exceptionString(exception)
+    val errorMessageJson = new ObjectMapper().writeValueAsString(errorMessage)
     val event = SparkListenerSQLExecutionEnd(1, 10, Some(errorMessage))
     event.duration = 1000
     event.executionName = Some("test")
     event.qe = qe
-    event.executionFailure = Some(new Exception("test"))
+    event.executionFailure = Some(exception)
     val json = JsonProtocol.sparkEventToJsonString(event)
     // scalastyle:off line.size.limit
     assert(parse(json) == parse(
-      """
+      s"""
         |{
         |  "Event" : "org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd",
         |  "executionId" : 1,
         |  "time" : 10,
-        |  "errorMessage" : "{\"errorClass\":\"java.lang.Exception\",\"messageParameters\":{\"message\":\"test\"}}"
+        |  "errorMessage" : $errorMessageJson
         |}
       """.stripMargin))
     // scalastyle:on
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
index 72f8de3e9ccdd..67206e9c6552a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListenerSuite.scala
@@ -21,7 +21,6 @@ import java.util.Properties
 
 import scala.collection.mutable.{ArrayBuffer, ListBuffer}
 
-import com.fasterxml.jackson.databind.ObjectMapper
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.{FileSystem, Path}
 import org.json4s.jackson.JsonMethods._
@@ -990,14 +989,12 @@ abstract class SQLAppStatusListenerSuite extends SharedSparkSession with JsonTes
 
   test("SPARK-40834: Use SparkListenerSQLExecutionEnd to track final SQL status in UI") {
     var received = false
+    val e = new Exception("test")
     spark.sparkContext.addSparkListener(new SparkListener {
       override def onOtherEvent(event: SparkListenerEvent): Unit = {
         event match {
           case SparkListenerSQLExecutionEnd(_, _, Some(errorMessage)) =>
-            val error = new ObjectMapper().readTree(errorMessage)
-            assert(error.get("errorClass").toPrettyString === "\"java.lang.Exception\"")
-            assert(error.path("messageParameters").get("message").toPrettyString === "\"test\"")
-            received = true
+            received = errorMessage == Utils.exceptionString(e)
           case _ =>
         }
       }
@@ -1005,7 +1002,7 @@ abstract class SQLAppStatusListenerSuite extends SharedSparkSession with JsonTes
 
     intercept[Exception] {
       SQLExecution.withNewExecutionId(spark.range(1).queryExecution) {
-        throw new Exception("test")
+        throw e
       }
     }
     spark.sparkContext.listenerBus.waitUntilEmpty(10000)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/UISeleniumSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/UISeleniumSuite.scala
new file mode 100644
index 0000000000000..eadafa9a75436
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/UISeleniumSuite.scala
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.ui
+
+import scala.concurrent.duration.DurationInt
+
+import org.openqa.selenium.htmlunit.HtmlUnitDriver
+import org.scalatest.concurrent.Eventually.eventually
+import org.scalatest.concurrent.Futures.{interval, timeout}
+import org.scalatestplus.selenium.WebBrowser
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.ui.SparkUICssErrorHandler
+
+class UISeleniumSuite extends SparkFunSuite with WebBrowser {
+
+  private var spark: SparkSession = _
+
+  implicit val webDriver: HtmlUnitDriver = new HtmlUnitDriver {
+    getWebClient.setCssErrorHandler(new SparkUICssErrorHandler)
+  }
+
+  override def afterAll(): Unit = {
+    try {
+      webDriver.quit()
+    } finally {
+      super.afterAll()
+    }
+  }
+
+  override def afterEach(): Unit = {
+    SparkSession.clearActiveSession()
+    SparkSession.clearDefaultSession()
+    if (spark != null) {
+      spark.stop()
+      spark = null
+    }
+  }
+
+  test("SPARK-44737: Should not display json format errors on SQL page for non-SparkThrowables") {
+    spark = SparkSession.builder()
+      .master("local[1,1]")
+      .appName("sql ui test")
+      .config("spark.ui.enabled", "true")
+      .config("spark.ui.port", "0")
+      .getOrCreate()
+
+    intercept[Exception](spark.sql("SET mapreduce.job.reduces = 0").isEmpty)
+    eventually(timeout(10.seconds), interval(100.milliseconds)) {
+      val webUrl = spark.sparkContext.uiWebUrl
+      assert(webUrl.isDefined, "please turn on spark.ui.enabled")
+      go to s"${webUrl.get}/SQL"
+      val sd = findAll(cssSelector("""#failed-table td .stacktrace-details""")).map(_.text).toList
+      assert(sd.size === 1, "SET mapreduce.job.reduces = 0 shall fail")
+      assert(sd.head.startsWith("java.lang.IllegalArgumentException:"))
+    }
+  }
+}

From e37999863d146fa929473159e5913f9777699caf Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Fri, 11 Aug 2023 15:08:49 +0800
Subject: [PATCH 219/986] [SPARK-44727][CORE][DOCS] Improve docs and error
 message for dynamic allocation conditions

### What changes were proposed in this pull request?

Clarify the DRA enabling conditions in docs and error message. (no \n actually)

```
Dynamic allocation of executors requires one of the following conditions:
1) enabling external shuffle service through spark.shuffle.service.enabled.
2) enabling shuffle tracking through spark.dynamicAllocation.shuffleTracking.enabled.
3) enabling shuffle blocks decommission through spark.decommission.enabled and spark.storage.decommission.shuffleBlocks.enabled.
4) (Experimental) configuring spark.shuffle.sort.io.plugin.class to use a custom ShuffleDataIO who's ShuffleDriverComponents supports reliable storage.
```

### Why are the changes needed?

Currently, ESS is not the only way to support DRA, but users always see the misleading error message when it does not meet the DRA conditions
```
Dynamic allocation of executors requires the external shuffle service. You may enable this
through spark.shuffle.service.enabled.
```

This is misleading, especially for users who want to enable DRA in Spark on K8s cases.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Review.

Closes #42404 from pan3793/SPARK-44727.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit e3caa4737768241d91127f019f4a8f4043fa466a)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/ExecutorAllocationManager.scala   | 10 ++++++++--
 docs/configuration.md                              |  7 +++++--
 docs/job-scheduling.md                             | 14 +++++++++-----
 3 files changed, 22 insertions(+), 9 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala b/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
index 187125a66c94e..441bf60e4891e 100644
--- a/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
+++ b/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
@@ -211,8 +211,14 @@ private[spark] class ExecutorAllocationManager(
           conf.get(config.STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED)) {
         logInfo("Shuffle data decommission is enabled without a shuffle service.")
       } else if (!testing) {
-        throw new SparkException("Dynamic allocation of executors requires the external " +
-          "shuffle service. You may enable this through spark.shuffle.service.enabled.")
+        throw new SparkException("Dynamic allocation of executors requires one of the " +
+          "following conditions: 1) enabling external shuffle service through " +
+          s"${config.SHUFFLE_SERVICE_ENABLED.key}. 2) enabling shuffle tracking through " +
+          s"${DYN_ALLOCATION_SHUFFLE_TRACKING_ENABLED.key}. 3) enabling shuffle blocks " +
+          s"decommission through ${DECOMMISSION_ENABLED.key} and " +
+          s"${STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED.key}. 4) (Experimental) " +
+          s"configuring ${SHUFFLE_IO_PLUGIN_CLASS.key} to use a custom ShuffleDataIO who's " +
+          "ShuffleDriverComponents supports reliable storage.")
       }
     }
 
diff --git a/docs/configuration.md b/docs/configuration.md
index a70c049c87c6f..dfded480c99d3 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -3020,8 +3020,11 @@ Apart from these, the following properties are also available, and may be useful
     For more detail, see the description
     <a href="job-scheduling.html#dynamic-resource-allocation">here</a>.
     <br><br>
-    This requires <code>spark.shuffle.service.enabled</code> or
-    <code>spark.dynamicAllocation.shuffleTracking.enabled</code> to be set.
+    This requires one of the following conditions: 
+    1) enabling external shuffle service through <code>spark.shuffle.service.enabled</code>, or
+    2) enabling shuffle tracking through <code>spark.dynamicAllocation.shuffleTracking.enabled</code>, or
+    3) enabling shuffle blocks decommission through <code>spark.decommission.enabled</code> and <code>spark.storage.decommission.shuffleBlocks.enabled</code>, or
+    4) (Experimental) configuring <code>spark.shuffle.sort.io.plugin.class</code> to use a custom <code>ShuffleDataIO</code> who's <code>ShuffleDriverComponents</code> supports reliable storage.
     The following configurations are also relevant:
     <code>spark.dynamicAllocation.minExecutors</code>,
     <code>spark.dynamicAllocation.maxExecutors</code>, and
diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md
index 8694ee82e1b85..0875bd5558e5b 100644
--- a/docs/job-scheduling.md
+++ b/docs/job-scheduling.md
@@ -89,11 +89,15 @@ This feature is disabled by default and available on all coarse-grained cluster
 
 ### Configuration and Setup
 
-There are two ways for using this feature.
-First, your application must set both `spark.dynamicAllocation.enabled` and `spark.dynamicAllocation.shuffleTracking.enabled` to `true`.
-Second, your application must set both `spark.dynamicAllocation.enabled` and `spark.shuffle.service.enabled` to `true`
-after you set up an *external shuffle service* on each worker node in the same cluster.
-The purpose of the shuffle tracking or the external shuffle service is to allow executors to be removed
+There are several ways for using this feature.
+Regardless of which approach you choose, your application must set `spark.dynamicAllocation.enabled` to `true` first, additionally, 
+
+- your application must set `spark.shuffle.service.enabled` to `true` after you set up an *external shuffle service* on each worker node in the same cluster, or
+- your application must set `spark.dynamicAllocation.shuffleTracking.enabled` to `true`, or
+- your application must set both `spark.decommission.enabled` and `spark.storage.decommission.shuffleBlocks.enabled` to `true`, or
+- your application must configure `spark.shuffle.sort.io.plugin.class` to use a custom `ShuffleDataIO` who's `ShuffleDriverComponents` supports reliable storage.
+
+The purpose of the external shuffle service or the shuffle tracking or the `ShuffleDriverComponents` supports reliable storage is to allow executors to be removed
 without deleting shuffle files written by them (more detail described
 [below](job-scheduling.html#graceful-decommission-of-executors)). While it is simple to enable shuffle tracking, the way to set up the external shuffle service varies across cluster managers:
 

From 13c8c8123b875f2fa4fa75caeaa74ce0a68b88ac Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 11 Aug 2023 17:35:00 +0800
Subject: [PATCH 220/986] [SPARK-44731][PYTHON][CONNECT] Make TimestampNTZ
 works with literals in Python Spark Connect

### What changes were proposed in this pull request?

This PR proposes:
- Share the namespaces for `to_timestamp_ntz`, `to_timestamp_ltz` and `to_unix_timestamp` in Spark Connect. They were missed.
- Adds the support of `TimestampNTZ` for literal handling in Python Spark Connect (by respecting `spark.sql.timestampType`).

### Why are the changes needed?

For feature parity, and respect timestamp ntz in resampling in pandas API on Spark

### Does this PR introduce _any_ user-facing change?

Yes, this virtually fixes the same bug: https://github.com/apache/spark/pull/42392 in Spark Connect with Python.

### How was this patch tested?

Unittests reenabled.

Closes #42445 from HyukjinKwon/SPARK-44731.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 73b0376ec1527197c215495c7957efbe9d3bfab7)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../pandas/tests/connect/test_parity_resample.py    |  4 +---
 python/pyspark/sql/connect/expressions.py           |  3 +++
 python/pyspark/sql/functions.py                     | 12 ++++++++++++
 python/pyspark/sql/utils.py                         | 13 +++++++++++--
 4 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/python/pyspark/pandas/tests/connect/test_parity_resample.py b/python/pyspark/pandas/tests/connect/test_parity_resample.py
index d5c901f113a05..caca2f957b507 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_resample.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_resample.py
@@ -30,9 +30,7 @@ class ResampleParityTests(
 class ResampleWithTimezoneTests(
     ResampleWithTimezoneMixin, PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase
 ):
-    @unittest.skip("SPARK-44731: Support 'spark.sql.timestampType' in Python Spark Connect client")
-    def test_series_resample_with_timezone(self):
-        super().test_series_resample_with_timezone()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/connect/expressions.py b/python/pyspark/sql/connect/expressions.py
index 44e6e174f70c5..d0a9b1d69aee3 100644
--- a/python/pyspark/sql/connect/expressions.py
+++ b/python/pyspark/sql/connect/expressions.py
@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 from pyspark.sql.connect.utils import check_dependencies
+from pyspark.sql.utils import is_timestamp_ntz_preferred
 
 check_dependencies(__name__)
 
@@ -295,6 +296,8 @@ def _infer_type(cls, value: Any) -> DataType:
             return StringType()
         elif isinstance(value, decimal.Decimal):
             return DecimalType()
+        elif isinstance(value, datetime.datetime) and is_timestamp_ntz_preferred():
+            return TimestampNTZType()
         elif isinstance(value, datetime.datetime):
             return TimestampType()
         elif isinstance(value, datetime.date):
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index b45e1daa0fd2e..0a8eccacbc0c2 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -7757,6 +7757,7 @@ def check_field(field: Union[Column, str], fieldName: str) -> None:
     return _invoke_function("session_window", time_col, gap_duration)
 
 
+@try_remote_functions
 def to_unix_timestamp(
     timestamp: "ColumnOrName",
     format: Optional["ColumnOrName"] = None,
@@ -7766,6 +7767,9 @@ def to_unix_timestamp(
 
     .. versionadded:: 3.5.0
 
+    .. versionchanged:: 3.5.0
+        Supports Spark Connect.
+
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
@@ -7793,6 +7797,7 @@ def to_unix_timestamp(
         return _invoke_function_over_columns("to_unix_timestamp", timestamp)
 
 
+@try_remote_functions
 def to_timestamp_ltz(
     timestamp: "ColumnOrName",
     format: Optional["ColumnOrName"] = None,
@@ -7803,6 +7808,9 @@ def to_timestamp_ltz(
 
     .. versionadded:: 3.5.0
 
+    .. versionchanged:: 3.5.0
+        Supports Spark Connect.
+
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
@@ -7830,6 +7838,7 @@ def to_timestamp_ltz(
         return _invoke_function_over_columns("to_timestamp_ltz", timestamp)
 
 
+@try_remote_functions
 def to_timestamp_ntz(
     timestamp: "ColumnOrName",
     format: Optional["ColumnOrName"] = None,
@@ -7840,6 +7849,9 @@ def to_timestamp_ntz(
 
     .. versionadded:: 3.5.0
 
+    .. versionchanged:: 3.5.0
+        Supports Spark Connect.
+
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
diff --git a/python/pyspark/sql/utils.py b/python/pyspark/sql/utils.py
index b72d8d9a7c811..61486d6a8c603 100644
--- a/python/pyspark/sql/utils.py
+++ b/python/pyspark/sql/utils.py
@@ -140,8 +140,17 @@ def is_timestamp_ntz_preferred() -> bool:
     """
     Return a bool if TimestampNTZType is preferred according to the SQL configuration set.
     """
-    jvm = SparkContext._jvm
-    return jvm is not None and jvm.PythonSQLUtils.isTimestampNTZPreferred()
+    if is_remote():
+        from pyspark.sql.connect.session import SparkSession as ConnectSparkSession
+
+        session = ConnectSparkSession.getActiveSession()
+        if session is None:
+            return False
+        else:
+            return session.conf.get("spark.sql.timestampType", None) == "TIMESTAMP_NTZ"
+    else:
+        jvm = SparkContext._jvm
+        return jvm is not None and jvm.PythonSQLUtils.isTimestampNTZPreferred()
 
 
 def is_remote() -> bool:

From b11022f042f3264e24e3c202315e3eb2b8be1b14 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Fri, 11 Aug 2023 14:36:22 +0200
Subject: [PATCH 221/986] [SPARK-44761][CONNECT] Support
 DataStreamWriter.foreachBatch(VoidFunction2)

### What changes were proposed in this pull request?
This PR adds the `DatastreamWriter.foreachBatch(VoidFunction2).

### Why are the changes needed?
To increase binary compatibility with the APIs in `sql/core`.

### Does this PR introduce _any_ user-facing change?
Yes. It adds a new method to DatastreamWriter.

### How was this patch tested?
I modified an existing code path.

Closes #42430 from hvanhovell/SPARK-44761.

Lead-authored-by: Herman van Hovell <herman@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 5a27dc9b6174fedefd08bcfe8a5b42bdfde2b7f6)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../sql/streaming/DataStreamWriter.scala      | 22 +++++++++++++++++--
 .../CheckConnectJvmClientCompatibility.scala  |  3 ---
 .../streaming/ClientStreamingQuerySuite.scala |  9 +++++---
 .../spark/sql/connect/common/UdfUtils.scala   |  3 +++
 4 files changed, 29 insertions(+), 8 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
index b9aa1f5bc5838..54eb6e761407c 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala
@@ -25,13 +25,13 @@ import scala.collection.JavaConverters._
 import com.google.protobuf.ByteString
 
 import org.apache.spark.annotation.Evolving
+import org.apache.spark.api.java.function.VoidFunction2
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.Command
 import org.apache.spark.connect.proto.WriteStreamOperationStart
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{Dataset, ForeachWriter}
-import org.apache.spark.sql.connect.common.DataTypeProtoConverter
-import org.apache.spark.sql.connect.common.ForeachWriterPacket
+import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, ForeachWriterPacket, UdfUtils}
 import org.apache.spark.sql.execution.streaming.AvailableNowTrigger
 import org.apache.spark.sql.execution.streaming.ContinuousTrigger
 import org.apache.spark.sql.execution.streaming.OneTimeTrigger
@@ -247,6 +247,24 @@ final class DataStreamWriter[T] private[sql] (ds: Dataset[T]) extends Logging {
     this
   }
 
+  /**
+   * :: Experimental ::
+   *
+   * (Java-specific) Sets the output of the streaming query to be processed using the provided
+   * function. This is supported only in the micro-batch execution modes (that is, when the
+   * trigger is not continuous). In every micro-batch, the provided function will be called in
+   * every micro-batch with (i) the output rows as a Dataset and (ii) the batch identifier. The
+   * batchId can be used to deduplicate and transactionally write the output (that is, the
+   * provided Dataset) to external systems. The output Dataset is guaranteed to be exactly the
+   * same for the same batchId (assuming all operations are deterministic in the query).
+   *
+   * @since 3.5.0
+   */
+  @Evolving
+  def foreachBatch(function: VoidFunction2[Dataset[T], java.lang.Long]): DataStreamWriter[T] = {
+    foreachBatch(UdfUtils.foreachBatchFuncToScalaFunc(function))
+  }
+
   /**
    * Starts the execution of the streaming query, which will continually output results to the
    * given path as new data arrives. The returned [[StreamingQuery]] object can be used to
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 3fc02d7c397f0..04b162eceec28 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -234,9 +234,6 @@ object CheckConnectJvmClientCompatibility {
       // DataStreamWriter
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.streaming.DataStreamWriter$"),
-      ProblemFilters.exclude[Problem](
-        "org.apache.spark.sql.streaming.DataStreamWriter.foreachBatch" // TODO(SPARK-42944)
-      ),
       ProblemFilters.exclude[Problem](
         "org.apache.spark.sql.streaming.DataStreamWriter.SOURCE*" // These are constant vals.
       ),
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
index ab92431bc116a..944a999a860b6 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
@@ -27,6 +27,7 @@ import org.scalatest.concurrent.Eventually.eventually
 import org.scalatest.concurrent.Futures.timeout
 import org.scalatest.time.SpanSugar._
 
+import org.apache.spark.api.java.function.VoidFunction2
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{DataFrame, ForeachWriter, Row, SparkSession, SQLHelper}
 import org.apache.spark.sql.connect.client.util.QueryTest
@@ -412,11 +413,13 @@ class EventCollector extends StreamingQueryListener {
   }
 }
 
-class ForeachBatchFn(val viewName: String) extends ((DataFrame, Long) => Unit) with Serializable {
-  override def apply(df: DataFrame, batchId: Long): Unit = {
+class ForeachBatchFn(val viewName: String)
+    extends VoidFunction2[DataFrame, java.lang.Long]
+    with Serializable {
+  override def call(df: DataFrame, batchId: java.lang.Long): Unit = {
     val count = df.count()
     df.sparkSession
-      .createDataFrame(Seq((batchId, count)))
+      .createDataFrame(Seq((batchId.toLong, count)))
       .createOrReplaceGlobalTempView(viewName)
   }
 }
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
index ceacc595d15f4..16d5823f4a474 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
@@ -59,6 +59,9 @@ private[sql] object UdfUtils extends Serializable {
   def foreachPartitionFuncToScalaFunc[T](f: ForeachPartitionFunction[T]): Iterator[T] => Unit =
     x => f.call(x.asJava)
 
+  def foreachBatchFuncToScalaFunc[D](f: VoidFunction2[D, java.lang.Long]): (D, Long) => Unit =
+    (d, i) => f.call(d, i)
+
   def flatMapFuncToScalaFunc[T, U](f: FlatMapFunction[T, U]): T => TraversableOnce[U] = x =>
     f.call(x).asScala
 

From dae1314003e6347f9403b24918cebe4de9fcd8dd Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 11 Aug 2023 21:02:07 +0800
Subject: [PATCH 222/986] [SPARK-43979][SQL][FOLLOWUP] transformUpWithNewOutput
 should only be used with new outputs

This resubmits https://github.com/apache/spark/pull/42408 to 3.5

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41475 . It's risky to use `transformUpWithNewOutput` with existing attribute ids. If the plan contains duplicated attribute ids somewhere, then we will hit conflicting attributes and an assertion error will be thrown by `QueryPlan#transformUpWithNewOutput`.

This PR takes a different approach. We canonicalize the plan first and then remove the alias-only project. Then we don't need `transformUpWithNewOutput` anymore as all attribute ids are normalized in the canonicalized plan.

### Why are the changes needed?

fix potential bugs

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

existing tests

Closes #42449 from cloud-fan/minor.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/CheckAnalysis.scala | 21 +++++++++++--------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index e198fd58953dd..e063acaada5ff 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -1071,13 +1071,13 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
     def check(plan: LogicalPlan): Unit = plan.foreach { node =>
       node match {
         case metrics @ CollectMetrics(name, _, _) =>
-          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics)
+          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics.canonicalized)
           metricsMap.get(name) match {
             case Some(other) =>
-              val simplifiedOther = simplifyPlanForCollectedMetrics(other)
+              val simplifiedOther = simplifyPlanForCollectedMetrics(other.canonicalized)
               // Exact duplicates are allowed. They can be the result
               // of a CTE that is used multiple times or a self join.
-              if (!simplifiedMetrics.sameResult(simplifiedOther)) {
+              if (simplifiedMetrics != simplifiedOther) {
                 failAnalysis(
                   errorClass = "DUPLICATED_METRICS_NAME",
                   messageParameters = Map("metricName" -> name))
@@ -1102,17 +1102,20 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
    * duplicates metric definition.
    */
   private def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
-    plan.transformUpWithNewOutput {
+    plan.resolveOperators {
       case p: Project if p.projectList.size == p.child.output.size =>
-        val assignExprIdOnly = p.projectList.zip(p.child.output).forall {
-          case (left: Alias, right: Attribute) =>
-            left.child.semanticEquals(right) && right.name == left.name
+        val assignExprIdOnly = p.projectList.zipWithIndex.forall {
+          case (Alias(attr: AttributeReference, _), index) =>
+            // The input plan of this method is already canonicalized. The attribute id becomes the
+            // ordinal of this attribute in the child outputs. So an alias-only Project means the
+            // the id of the aliased attribute is the same as its index in the project list.
+            attr.exprId.id == index
           case _ => false
         }
         if (assignExprIdOnly) {
-          (p.child, p.output.zip(p.child.output))
+          p.child
         } else {
-          (p, Nil)
+          p
         }
     }
   }

From 74f6abef94c4cfb12fe36f8050138780bd669652 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 11 Aug 2023 18:32:07 +0200
Subject: [PATCH 223/986] [SPARK-44625][CONNECT] SparkConnectExecutionManager
 to track all executions

### What changes were proposed in this pull request?

SparkConnectExecutionManager tracks all executions (ExecuteHolder) in all sessions of Spark Connect. It tracks which executions have RPCs (ExecuteGrpcReponseSender) attached to them. If an execution gets abandoned (it's not cleared with ReleaseExecute by the client, but no new RPC arrives), it will be automatically interrupted and removed after a timeout.

Note for the failure:
```
Error: Field "2" on message "ReleaseExecuteResponse" moved from outside to inside a oneof.
Error: buf found 1 breaking changes.
```
The message ReleaseExecuteResponse has not been released yet, so it's not a breaking change compared to any released version.

### Why are the changes needed?

Need the SparkConnectExecutionManager to track reattachable executions that got abandoned by client.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Pending, but the SparkConnectExecutionManager allows tests to inspect execution state, so allows writing more unit tests about reattachable execution.

Closes #42423 from juliuszsompolski/SPARK-44625.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 84dbe846b30d5250169b834b182779a104570888)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../main/resources/error/error-classes.json   |   5 +
 .../main/protobuf/spark/connect/base.proto    |   8 +-
 .../spark/sql/connect/config/Connect.scala    |  24 ++
 .../execution/ExecuteGrpcResponseSender.scala | 119 +++++-----
 .../execution/ExecuteResponseObserver.scala   |   9 +-
 .../sql/connect/service/ExecuteHolder.scala   | 143 ++++++++++--
 .../sql/connect/service/SessionHolder.scala   |  39 ++--
 .../SparkConnectExecutePlanHandler.scala      |  19 +-
 .../SparkConnectExecutionManager.scala        | 209 ++++++++++++++++++
 .../SparkConnectReattachExecuteHandler.scala  |  31 ++-
 .../SparkConnectReleaseExecuteHandler.scala   |  51 +++--
 .../connect/service/SparkConnectService.scala |  11 +
 .../spark/sql/connect/utils/ErrorUtils.scala  |  15 +-
 .../planner/SparkConnectPlannerSuite.scala    |   5 +-
 ...r-conditions-invalid-handle-error-class.md |   4 +
 python/pyspark/sql/connect/proto/base_pb2.py  |   8 +-
 python/pyspark/sql/connect/proto/base_pb2.pyi |  23 +-
 .../sql/connect/proto/base_pb2_grpc.py        |   2 +-
 18 files changed, 566 insertions(+), 159 deletions(-)
 create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index d9d1963c95874..74542f2b91485 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -1426,6 +1426,11 @@
           "Handle must be an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'"
         ]
       },
+      "OPERATION_ABANDONED" : {
+        "message" : [
+          "Operation was considered abandoned because of inactivity and removed."
+        ]
+      },
       "OPERATION_ALREADY_EXISTS" : {
         "message" : [
           "Operation already exists."
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/base.proto b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
index 79dbadba5bb07..65e2493f83687 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/base.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/base.proto
@@ -772,8 +772,10 @@ message ReleaseExecuteResponse {
   // Session id in which the release was running.
   string session_id = 1;
 
-  // Operation id of the operation which the release concerns.
-  string operation_id = 2;
+  // Operation id of the operation on which the release executed.
+  // If the operation couldn't be found (because e.g. it was concurrently released), will be unset.
+  // Otherwise, it will be equal to the operation_id from request.
+  optional string operation_id = 2;
 }
 
 // Main interface for the SparkConnect service.
@@ -809,7 +811,7 @@ service SparkConnectService {
   // Release an reattachable execution, or parts thereof.
   // The ExecutePlan must have been started with ReattachOptions.reattachable=true.
   // Non reattachable executions are released automatically and immediately after the ExecutePlan
-  // RPC and ReleaseExecute doesn't need to be used.
+  // RPC and ReleaseExecute may not be used.
   rpc ReleaseExecute(ReleaseExecuteRequest) returns (ReleaseExecuteResponse) {}
 }
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 51a9a1bf95141..054ccbe67077c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -68,6 +68,30 @@ object Connect {
       .intConf
       .createWithDefault(1024)
 
+  val CONNECT_EXECUTE_MANAGER_DETACHED_TIMEOUT =
+    ConfigBuilder("spark.connect.execute.manager.detachedTimeout")
+      .internal()
+      .doc("Timeout after which executions without an attached RPC will be removed.")
+      .version("3.5.0")
+      .timeConf(TimeUnit.MILLISECONDS)
+      .createWithDefaultString("5m")
+
+  val CONNECT_EXECUTE_MANAGER_MAINTENANCE_INTERVAL =
+    ConfigBuilder("spark.connect.execute.manager.maintenanceInterval")
+      .internal()
+      .doc("Interval at which execution manager will search for abandoned executions to remove.")
+      .version("3.5.0")
+      .timeConf(TimeUnit.MILLISECONDS)
+      .createWithDefaultString("30s")
+
+  val CONNECT_EXECUTE_MANAGER_ABANDONED_TOMBSTONES_SIZE =
+    ConfigBuilder("spark.connect.execute.manager.abandonedTombstonesSize")
+      .internal()
+      .doc("Maximum size of the cache of abandoned executions.")
+      .version("3.5.0")
+      .intConf
+      .createWithDefaultString("10000")
+
   val CONNECT_EXECUTE_REATTACHABLE_ENABLED =
     ConfigBuilder("spark.connect.execute.reattachable.enabled")
       .internal()
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
index 7b51a90ca3741..6b8fcde1156ed 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
@@ -24,7 +24,8 @@ import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.config.Connect.{CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION, CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE}
-import org.apache.spark.sql.connect.service.ExecuteHolder
+import org.apache.spark.sql.connect.service.{ExecuteHolder, SparkConnectService}
+import org.apache.spark.sql.connect.utils.ErrorUtils
 
 /**
  * ExecuteGrpcResponseSender sends responses to the GRPC stream. It consumes responses from
@@ -37,12 +38,14 @@ import org.apache.spark.sql.connect.service.ExecuteHolder
 private[connect] class ExecuteGrpcResponseSender[T <: Message](
     val executeHolder: ExecuteHolder,
     grpcObserver: StreamObserver[T])
-    extends Logging {
+    extends Logging { self =>
 
+  // the executionObserver object is used as a synchronization lock between the
+  // ExecuteGrpcResponseSender consumer and ExecuteResponseObserver producer.
   private var executionObserver = executeHolder.responseObserver
     .asInstanceOf[ExecuteResponseObserver[T]]
 
-  private var detached = false
+  private var interrupted = false
 
   // Signal to wake up when grpcCallObserver.isReady()
   private val grpcCallObserverReadySignal = new Object
@@ -51,42 +54,50 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
   private var consumeSleep = 0L
   private var sendSleep = 0L
 
+  // Thread handling the processing, in case it's done in the background.
+  private var backgroundThread: Option[Thread] = None
+
   /**
-   * Detach this sender from executionObserver. Called only from executionObserver that this
-   * sender is attached to. Lock on executionObserver is held, and notifyAll will wake up this
-   * sender if sleeping.
+   * Interrupt this sender and make it exit.
    */
-  def detach(): Unit = executionObserver.synchronized {
-    if (detached == true) {
-      throw new IllegalStateException("ExecuteGrpcResponseSender already detached!")
-    }
-    detached = true
+  def interrupt(): Unit = executionObserver.synchronized {
+    interrupted = true
     executionObserver.notifyAll()
   }
 
   def run(lastConsumedStreamIndex: Long): Unit = {
     if (executeHolder.reattachable) {
-      // In reattachable execution, check if grpcObserver is ready for sending, by using
-      // setOnReadyHandler of the ServerCallStreamObserver. Otherwise, calling grpcObserver.onNext
-      // can queue the responses without sending them, and it is unknown how far behind it is, and
-      // hence how much the executionObserver needs to buffer.
+      // In reattachable execution we use setOnReadyHandler and grpcCallObserver.isReady to control
+      // backpressure. See sendResponse.
       //
-      // Because OnReady events get queued on the same GRPC inboud queue as the executePlan or
-      // reattachExecute RPC handler that this is executing in, OnReady events will not arrive and
-      // not trigger the OnReadyHandler unless this thread returns from executePlan/reattachExecute.
+      // Because calls to OnReadyHandler get queued on the same GRPC inboud queue as the executePlan
+      // or reattachExecute RPC handler that this is executing in, they will not arrive and not
+      // trigger the OnReadyHandler unless this thread returns from executePlan/reattachExecute.
       // Therefore, we launch another thread to operate on the grpcObserver and send the responses,
       // while this thread will exit from the executePlan/reattachExecute call, allowing GRPC
       // to send the OnReady events.
       // See https://github.com/grpc/grpc-java/issues/7361
 
-      val t = new Thread(
-        s"SparkConnectGRPCSender_" +
-          s"opId=${executeHolder.operationId}_startIndex=$lastConsumedStreamIndex") {
-        override def run(): Unit = {
-          execute(lastConsumedStreamIndex)
-        }
-      }
-      executeHolder.grpcSenderThreads += t
+      backgroundThread = Some(
+        new Thread(
+          s"SparkConnectGRPCSender_" +
+            s"opId=${executeHolder.operationId}_startIndex=$lastConsumedStreamIndex") {
+          override def run(): Unit = {
+            try {
+              execute(lastConsumedStreamIndex)
+            } catch {
+              // This is executing in it's own thread, so need to handle RPC error like the
+              // SparkConnectService handlers do.
+              ErrorUtils.handleError(
+                "async-grpc-response-sender",
+                observer = grpcObserver,
+                userId = executeHolder.request.getUserContext.getUserId,
+                sessionId = executeHolder.request.getSessionId)
+            } finally {
+              executeHolder.removeGrpcResponseSender(self)
+            }
+          }
+        })
 
       val grpcCallObserver = grpcObserver.asInstanceOf[ServerCallStreamObserver[T]]
       grpcCallObserver.setOnReadyHandler(() => {
@@ -97,16 +108,17 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
       })
 
       // Start the thread and exit
-      t.start()
+      backgroundThread.foreach(_.start())
     } else {
       // Non reattachable execute runs directly in the GRPC thread.
       try {
         execute(lastConsumedStreamIndex)
       } finally {
+        executeHolder.removeGrpcResponseSender(this)
         if (!executeHolder.reattachable) {
           // Non reattachable executions release here immediately.
           // (Reattachable executions release with ReleaseExecute RPC.)
-          executeHolder.close()
+          SparkConnectService.executionManager.removeExecuteHolder(executeHolder.key)
         }
       }
     }
@@ -159,9 +171,8 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
     while (!finished) {
       var response: Option[CachedStreamResponse[T]] = None
 
-      // Conditions for exiting the inner loop:
-      // 1. was detached from response observer
-      def detachedFromObserver = detached
+      // Conditions for exiting the inner loop (and helpers to compute them):
+      // 1. was interrupted
       // 2. has a response to send
       def gotResponse = response.nonEmpty
       // 3. sent everything from the stream and the stream is finished
@@ -170,24 +181,21 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
       def deadlineLimitReached =
         sentResponsesSize > maximumResponseSize || deadlineTimeMillis < System.currentTimeMillis()
 
-      // Get next available response.
-      // Wait until either this sender got detached or next response is ready,
-      // or the stream is complete and it had already sent all responses.
       logTrace(s"Trying to get next response with index=$nextIndex.")
       executionObserver.synchronized {
         logTrace(s"Acquired executionObserver lock.")
         val sleepStart = System.nanoTime()
         var sleepEnd = 0L
-        while (!detachedFromObserver &&
+        while (!interrupted &&
           !gotResponse &&
           !streamFinished &&
           !deadlineLimitReached) {
           logTrace(s"Try to get response with index=$nextIndex from observer.")
           response = executionObserver.consumeResponse(nextIndex)
           logTrace(s"Response index=$nextIndex from observer: ${response.isDefined}")
-          // If response is empty, release executionObserver lock and wait to get notified.
-          // The state of detached, response and lastIndex are change under lock in
-          // executionObserver, and will notify upon state change.
+          // If response is empty, release executionObserver monitor and wait to get notified.
+          // The state of interrupted, response and lastIndex are changed under executionObserver
+          // monitor, and will notify upon state change.
           if (response.isEmpty) {
             val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
             logTrace(s"Wait for response to become available with timeout=$timeout ms.")
@@ -197,7 +205,7 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
           }
         }
         logTrace(
-          s"Exiting loop: detached=$detached, " +
+          s"Exiting loop: interrupted=$interrupted, " +
             s"response=${response.map(r => ProtoUtils.abbreviate(r.response))}, " +
             s"lastIndex=${executionObserver.getLastResponseIndex()}, " +
             s"deadline=${deadlineLimitReached}")
@@ -208,10 +216,8 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
       }
 
       // Process the outcome of the inner loop.
-      if (detachedFromObserver) {
-        // This sender got detached by the observer.
-        // This only happens if this RPC is actually dead, and the client already came back with
-        // a ReattachExecute RPC. Kill this RPC.
+      if (interrupted) {
+        // This sender got interrupted. Kill this RPC.
         logWarning(
           s"Got detached from opId=${executeHolder.operationId} at index ${nextIndex - 1}." +
             s"totalTime=${System.nanoTime - startTime}ns " +
@@ -256,12 +262,11 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
   }
 
   /**
-   * Send the response to the grpcCallObserver. In reattachable execution, we control the flow,
-   * and only pass the response to the grpcCallObserver when it's ready to send. Otherwise,
-   * grpcCallObserver.onNext() would return in a non-blocking way, but could queue responses
-   * without sending them if the client doesn't keep up receiving them. When pushing more
-   * responses to onNext(), there is no insight how far behind the service is in actually sending
-   * them out.
+   * Send the response to the grpcCallObserver.
+   *
+   * In reattachable execution, we control the backpressure and only send when the
+   * grpcCallObserver is in fact ready to send.
+   *
    * @param deadlineTimeMillis
    *   when reattachable, wait for ready stream until this deadline.
    * @return
@@ -278,12 +283,12 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
       grpcObserver.onNext(response.response)
       true
     } else {
-      // In reattachable execution, we control the flow, and only pass the response to the
+      // In reattachable execution, we control the backpressure, and only pass the response to the
       // grpcCallObserver when it's ready to send.
       // Otherwise, grpcCallObserver.onNext() would return in a non-blocking way, but could queue
       // responses without sending them if the client doesn't keep up receiving them.
       // When pushing more responses to onNext(), there is no insight how far behind the service is
-      // in actually sending them out.
+      // in actually sending them out. See https://github.com/grpc/grpc-java/issues/1549
       // By sending responses only when grpcCallObserver.isReady(), we control that the actual
       // sending doesn't fall behind what we push from here.
       // By using the deadline, we exit the RPC if the responses aren't picked up by the client.
@@ -295,7 +300,13 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
         logTrace(s"Acquired grpcCallObserverReadySignal lock.")
         val sleepStart = System.nanoTime()
         var sleepEnd = 0L
-        while (!grpcCallObserver.isReady() && deadlineTimeMillis >= System.currentTimeMillis()) {
+        // Conditions for exiting the inner loop
+        // 1. was detached
+        // 2. grpcCallObserver is ready to send more data
+        // 3. time deadline is reached
+        while (!interrupted &&
+          !grpcCallObserver.isReady() &&
+          deadlineTimeMillis >= System.currentTimeMillis()) {
           val timeout = Math.max(1, deadlineTimeMillis - System.currentTimeMillis())
           var sleepStart = System.nanoTime()
           logTrace(s"Wait for grpcCallObserver to become ready with timeout=$timeout ms.")
@@ -303,7 +314,7 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
           logTrace(s"Reacquired grpcCallObserverReadySignal lock after waiting.")
           sleepEnd = System.nanoTime()
         }
-        if (grpcCallObserver.isReady()) {
+        if (!interrupted && grpcCallObserver.isReady()) {
           val sleepTime = if (sleepEnd > 0L) sleepEnd - sleepStart else 0L
           logDebug(
             s"SEND opId=${executeHolder.operationId} responseId=${response.responseId} " +
@@ -313,7 +324,7 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
           grpcCallObserver.onNext(response.response)
           true
         } else {
-          logTrace(s"grpcCallObserver is not ready, exiting.")
+          logTrace(s"exiting sendResponse without sending")
           false
         }
       }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index 0573f7b3dae8d..d9db07fd228ed 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -148,8 +148,8 @@ private[connect] class ExecuteResponseObserver[T <: Message](val executeHolder:
 
   /** Attach a new consumer (ExecuteResponseGRPCSender). */
   def attachConsumer(newSender: ExecuteGrpcResponseSender[T]): Unit = synchronized {
-    // detach the current sender before attaching new one
-    responseSender.foreach(_.detach())
+    // interrupt the current sender before attaching new one
+    responseSender.foreach(_.interrupt())
     responseSender = Some(newSender)
   }
 
@@ -241,11 +241,6 @@ private[connect] class ExecuteResponseObserver[T <: Message](val executeHolder:
     finalProducedIndex.isDefined
   }
 
-  /** Consumer (ExecuteResponseGRPCSender) waits on the monitor of ExecuteResponseObserver. */
-  private def notifyConsumer(): Unit = {
-    notifyAll()
-  }
-
   /**
    * Remove cached responses after response with lastReturnedIndex is returned from getResponse.
    * Remove according to caching policy:
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 105af0dc0baae..bce0713339228 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -84,19 +84,6 @@ private[connect] class ExecuteHolder(
     }
   }
 
-  /**
-   * True if there is currently an RPC (ExecutePlanRequest, ReattachExecute) attached to this
-   * execution.
-   */
-  var attached: Boolean = true
-
-  /**
-   * Threads that execute the ExecuteGrpcResponseSender and send the GRPC responses.
-   *
-   * TODO(SPARK-44625): Joining and cleaning up these threads during cleanup.
-   */
-  val grpcSenderThreads: mutable.ArrayBuffer[Thread] = new mutable.ArrayBuffer[Thread]()
-
   val responseObserver: ExecuteResponseObserver[proto.ExecutePlanResponse] =
     new ExecuteResponseObserver[proto.ExecutePlanResponse](this)
 
@@ -104,12 +91,35 @@ private[connect] class ExecuteHolder(
 
   private val runner: ExecuteThreadRunner = new ExecuteThreadRunner(this)
 
+  /** System.currentTimeMillis when this ExecuteHolder was created. */
+  val creationTime = System.currentTimeMillis()
+
+  /**
+   * None if there is currently an attached RPC (grpcResponseSenders not empty or during initial
+   * ExecutePlan handler). Otherwise, the System.currentTimeMillis when the last RPC detached
+   * (grpcResponseSenders became empty).
+   */
+  @volatile var lastAttachedRpcTime: Option[Long] = None
+
+  /** System.currentTimeMillis when this ExecuteHolder was closed. */
+  private var closedTime: Option[Long] = None
+
+  /**
+   * Attached ExecuteGrpcResponseSenders that send the GRPC responses.
+   *
+   * In most situations at most one, except network hang issues where temporarily there would be a
+   * stale one, before being interrupted by a new one in ReattachExecute.
+   */
+  private val grpcResponseSenders
+      : mutable.ArrayBuffer[ExecuteGrpcResponseSender[proto.ExecutePlanResponse]] =
+    new mutable.ArrayBuffer[ExecuteGrpcResponseSender[proto.ExecutePlanResponse]]()
+
   /**
    * Start the execution. The execution is started in a background thread in ExecuteThreadRunner.
    * Responses are produced and cached in ExecuteResponseObserver. A GRPC thread consumes the
    * responses by attaching an ExecuteGrpcResponseSender,
    * @see
-   *   attachAndRunGrpcResponseSender.
+   *   runGrpcResponseSender.
    */
   def start(): Unit = {
     runner.start()
@@ -128,8 +138,9 @@ private[connect] class ExecuteHolder(
    * @param responseSender
    *   the ExecuteGrpcResponseSender
    */
-  def attachAndRunGrpcResponseSender(
+  def runGrpcResponseSender(
       responseSender: ExecuteGrpcResponseSender[proto.ExecutePlanResponse]): Unit = {
+    addGrpcResponseSender(responseSender)
     responseSender.run(0)
   }
 
@@ -142,13 +153,49 @@ private[connect] class ExecuteHolder(
    *   the last response that was already consumed. The sender will start from response after
    *   that.
    */
-  def attachAndRunGrpcResponseSender(
+  def runGrpcResponseSender(
       responseSender: ExecuteGrpcResponseSender[proto.ExecutePlanResponse],
       lastConsumedResponseId: String): Unit = {
     val lastConsumedIndex = responseObserver.getResponseIndexById(lastConsumedResponseId)
+    addGrpcResponseSender(responseSender)
     responseSender.run(lastConsumedIndex)
   }
 
+  private def addGrpcResponseSender(
+      sender: ExecuteGrpcResponseSender[proto.ExecutePlanResponse]) = synchronized {
+    if (closedTime.isEmpty) {
+      grpcResponseSenders += sender
+      lastAttachedRpcTime = None
+    } else {
+      // execution is closing... interrupt it already.
+      sender.interrupt()
+    }
+  }
+
+  def removeGrpcResponseSender[_](sender: ExecuteGrpcResponseSender[_]): Unit = synchronized {
+    // if closed, we are shutting down and interrupting all senders already
+    if (closedTime.isEmpty) {
+      grpcResponseSenders -=
+        sender.asInstanceOf[ExecuteGrpcResponseSender[proto.ExecutePlanResponse]]
+      if (grpcResponseSenders.isEmpty) {
+        lastAttachedRpcTime = Some(System.currentTimeMillis())
+      }
+    }
+  }
+
+  /**
+   * For a short period in ExecutePlan after creation and until runGrpcResponseSender is called,
+   * there is no attached response sender, but yet we start with lastAttachedRpcTime = None, so we
+   * don't get garbage collected. End this grace period when the initial ExecutePlan ends.
+   */
+  def afterInitialRPC(): Unit = synchronized {
+    if (closedTime.isEmpty) {
+      if (grpcResponseSenders.isEmpty) {
+        lastAttachedRpcTime = Some(System.currentTimeMillis())
+      }
+    }
+  }
+
   /**
    * Remove cached responses from the response observer until and including the response with
    * given responseId.
@@ -168,15 +215,30 @@ private[connect] class ExecuteHolder(
   }
 
   /**
-   * Close the execution and remove it from the session. Note: it first interrupts the runner if
-   * it's still running, and it waits for it to finish.
+   * Interrupt (if still running) and close the execution.
+   *
+   * Called only by SparkConnectExecutionManager.removeExecuteHolder, which then also removes the
+   * execution from global tracking and from its session.
    */
-  def close(): Unit = {
-    runner.interrupt()
-    runner.join()
-    responseObserver.removeAll()
-    eventsManager.postClosed()
-    sessionHolder.removeExecuteHolder(operationId)
+  def close(): Unit = synchronized {
+    if (closedTime.isEmpty) {
+      // interrupt execution, if still running.
+      runner.interrupt()
+      // wait for execution to finish, to make sure no more results get pushed to responseObserver
+      runner.join()
+      // interrupt any attached grpcResponseSenders
+      grpcResponseSenders.foreach(_.interrupt())
+      // if there were still any grpcResponseSenders, register detach time
+      if (grpcResponseSenders.nonEmpty) {
+        lastAttachedRpcTime = Some(System.currentTimeMillis())
+        grpcResponseSenders.clear()
+      }
+      // remove all cached responses from observer
+      responseObserver.removeAll()
+      // post closed to UI
+      eventsManager.postClosed()
+      closedTime = Some(System.currentTimeMillis())
+    }
   }
 
   /**
@@ -187,6 +249,25 @@ private[connect] class ExecuteHolder(
     "SparkConnect_Execute_" +
       s"User_${sessionHolder.userId}_Session_${sessionHolder.sessionId}_Tag_${tag}"
   }
+
+  /** Get ExecuteInfo with information about this ExecuteHolder. */
+  def getExecuteInfo: ExecuteInfo = synchronized {
+    ExecuteInfo(
+      request = request,
+      userId = sessionHolder.userId,
+      sessionId = sessionHolder.sessionId,
+      operationId = operationId,
+      jobTag = jobTag,
+      sparkSessionTags = sparkSessionTags,
+      reattachable = reattachable,
+      status = eventsManager.status,
+      creationTime = creationTime,
+      lastAttachedRpcTime = lastAttachedRpcTime,
+      closedTime = closedTime)
+  }
+
+  /** Get key used by SparkConnectExecutionManager global tracker. */
+  def key: ExecuteKey = ExecuteKey(sessionHolder.userId, sessionHolder.sessionId, operationId)
 }
 
 /** Used to identify ExecuteHolder jobTag among SparkContext.SPARK_JOB_TAGS. */
@@ -221,3 +302,17 @@ object ExecuteSessionTag {
     if (sessionTag.startsWith(prefix)) Some(sessionTag) else None
   }
 }
+
+/** Information about an ExecuteHolder. */
+case class ExecuteInfo(
+    request: proto.ExecutePlanRequest,
+    userId: String,
+    sessionId: String,
+    operationId: String,
+    jobTag: String,
+    sparkSessionTags: Set[String],
+    reattachable: Boolean,
+    status: ExecuteStatus,
+    creationTime: Long,
+    lastAttachedRpcTime: Option[Long],
+    closedTime: Option[Long])
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 29134f0dc0ded..b828d78710faf 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -24,8 +24,7 @@ import java.util.concurrent.{ConcurrentHashMap, ConcurrentMap}
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 
-import org.apache.spark.{JobArtifactSet, SparkException, SparkSQLException}
-import org.apache.spark.connect.proto
+import org.apache.spark.{JobArtifactSet, SparkException}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.SparkSession
@@ -42,7 +41,7 @@ import org.apache.spark.util.Utils
 case class SessionHolder(userId: String, sessionId: String, session: SparkSession)
     extends Logging {
 
-  val executions: ConcurrentMap[String, ExecuteHolder] =
+  private val executions: ConcurrentMap[String, ExecuteHolder] =
     new ConcurrentHashMap[String, ExecuteHolder]()
 
   val eventManager: SessionEventsManager = SessionEventsManager(this, new SystemClock())
@@ -56,23 +55,23 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
   private lazy val listenerCache: ConcurrentMap[String, StreamingQueryListener] =
     new ConcurrentHashMap()
 
-  private[connect] def createExecuteHolder(request: proto.ExecutePlanRequest): ExecuteHolder = {
-    val executeHolder = new ExecuteHolder(request, this)
+  /** Add ExecuteHolder to this session. Called only by SparkConnectExecutionManager. */
+  private[service] def addExecuteHolder(executeHolder: ExecuteHolder): Unit = {
     val oldExecute = executions.putIfAbsent(executeHolder.operationId, executeHolder)
     if (oldExecute != null) {
-      throw new SparkSQLException(
-        errorClass = "INVALID_HANDLE.OPERATION_ALREADY_EXISTS",
-        messageParameters = Map("handle" -> executeHolder.operationId))
+      // the existance of this should alrady be checked by SparkConnectExecutionManager
+      throw new IllegalStateException(
+        s"ExecuteHolder with opId=${executeHolder.operationId} already exists!")
     }
-    executeHolder
   }
 
-  private[connect] def executeHolder(operationId: String): Option[ExecuteHolder] = {
-    Option(executions.get(operationId))
+  /** Remove ExecuteHolder to this session. Called only by SparkConnectExecutionManager. */
+  private[service] def removeExecuteHolder(operationId: String): Unit = {
+    executions.remove(operationId)
   }
 
-  private[connect] def removeExecuteHolder(operationId: String): Unit = {
-    executions.remove(operationId)
+  private[connect] def executeHolder(operationId: String): Option[ExecuteHolder] = {
+    Option(executions.get(operationId))
   }
 
   /**
@@ -80,7 +79,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    * @return
    *   list of operationIds of interrupted executions
    */
-  private[connect] def interruptAll(): Seq[String] = {
+  private[service] def interruptAll(): Seq[String] = {
     val interruptedIds = new mutable.ArrayBuffer[String]()
     executions.asScala.values.foreach { execute =>
       if (execute.interrupt()) {
@@ -95,7 +94,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    * @return
    *   list of operationIds of interrupted executions
    */
-  private[connect] def interruptTag(tag: String): Seq[String] = {
+  private[service] def interruptTag(tag: String): Seq[String] = {
     val interruptedIds = new mutable.ArrayBuffer[String]()
     executions.asScala.values.foreach { execute =>
       if (execute.sparkSessionTags.contains(tag)) {
@@ -112,7 +111,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    * @return
    *   list of operationIds of interrupted executions (one element or empty)
    */
-  private[connect] def interruptOperation(operationId: String): Seq[String] = {
+  private[service] def interruptOperation(operationId: String): Seq[String] = {
     val interruptedIds = new mutable.ArrayBuffer[String]()
     Option(executions.get(operationId)).foreach { execute =>
       if (execute.interrupt()) {
@@ -252,6 +251,12 @@ object SessionHolder {
 
   /** Creates a dummy session holder for use in tests. */
   def forTesting(session: SparkSession): SessionHolder = {
-    SessionHolder(userId = "testUser", sessionId = UUID.randomUUID().toString, session = session)
+    val ret =
+      SessionHolder(
+        userId = "testUser",
+        sessionId = UUID.randomUUID().toString,
+        session = session)
+    SparkConnectService.putSessionForTesting(ret)
+    ret
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
index 9daf1e17b5e29..1ab5f26f90b13 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutePlanHandler.scala
@@ -27,14 +27,15 @@ class SparkConnectExecutePlanHandler(responseObserver: StreamObserver[proto.Exec
     extends Logging {
 
   def handle(v: proto.ExecutePlanRequest): Unit = {
-    val sessionHolder = SparkConnectService
-      .getOrCreateIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
-    val executeHolder = sessionHolder.createExecuteHolder(v)
-
-    executeHolder.eventsManager.postStarted()
-    executeHolder.start()
-    val responseSender =
-      new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
-    executeHolder.attachAndRunGrpcResponseSender(responseSender)
+    val executeHolder = SparkConnectService.executionManager.createExecuteHolder(v)
+    try {
+      executeHolder.eventsManager.postStarted()
+      executeHolder.start()
+      val responseSender =
+        new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
+      executeHolder.runGrpcResponseSender(responseSender)
+    } finally {
+      executeHolder.afterInitialRPC()
+    }
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala
new file mode 100644
index 0000000000000..ce1f6c93f6cfe
--- /dev/null
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala
@@ -0,0 +1,209 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import java.util.concurrent.{Executors, ScheduledExecutorService, TimeUnit}
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+import scala.util.control.NonFatal
+
+import com.google.common.cache.CacheBuilder
+
+import org.apache.spark.{SparkEnv, SparkSQLException}
+import org.apache.spark.connect.proto
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.connect.config.Connect.{CONNECT_EXECUTE_MANAGER_ABANDONED_TOMBSTONES_SIZE, CONNECT_EXECUTE_MANAGER_DETACHED_TIMEOUT, CONNECT_EXECUTE_MANAGER_MAINTENANCE_INTERVAL}
+
+// Unique key identifying execution by combination of user, session and operation id
+case class ExecuteKey(userId: String, sessionId: String, operationId: String)
+
+/**
+ * Global tracker of all ExecuteHolder executions.
+ *
+ * All ExecuteHolders are created, and removed through it. It keeps track of all the executions,
+ * and removes executions that have been abandoned.
+ */
+private[connect] class SparkConnectExecutionManager() extends Logging {
+
+  /** Hash table containing all current executions. Guarded by executionsLock. */
+  private val executions: mutable.HashMap[ExecuteKey, ExecuteHolder] =
+    new mutable.HashMap[ExecuteKey, ExecuteHolder]()
+  private val executionsLock = new Object
+
+  /** Graveyard of tombstones of executions that were abandoned and removed. */
+  private val abandonedTombstones = CacheBuilder
+    .newBuilder()
+    .maximumSize(SparkEnv.get.conf.get(CONNECT_EXECUTE_MANAGER_ABANDONED_TOMBSTONES_SIZE))
+    .build[ExecuteKey, ExecuteInfo]()
+
+  /** None if there are no executions. Otherwise, the time when the last execution was removed. */
+  private var lastExecutionTime: Option[Long] = Some(System.currentTimeMillis())
+
+  /** Executor for the periodic maintenance */
+  private var scheduledExecutor: Option[ScheduledExecutorService] = None
+
+  /**
+   * Create a new ExecuteHolder and register it with this global manager and with its session.
+   */
+  private[connect] def createExecuteHolder(request: proto.ExecutePlanRequest): ExecuteHolder = {
+    val sessionHolder = SparkConnectService
+      .getOrCreateIsolatedSession(request.getUserContext.getUserId, request.getSessionId)
+    val executeHolder = new ExecuteHolder(request, sessionHolder)
+    executionsLock.synchronized {
+      // Check if the operation already exists, both in active executions, and in the graveyard
+      // of tombstones of executions that have been abandoned.
+      // The latter is to prevent double execution when a client retries execution, thinking it
+      // never reached the server, but in fact it did, and already got removed as abandoned.
+      if (executions.get(executeHolder.key).isDefined) {
+        if (getAbandonedTombstone(executeHolder.key).isDefined) {
+          throw new SparkSQLException(
+            errorClass = "INVALID_HANDLE.OPERATION_ABANDONED",
+            messageParameters = Map("handle" -> executeHolder.operationId))
+        } else {
+          throw new SparkSQLException(
+            errorClass = "INVALID_HANDLE.OPERATION_ALREADY_EXISTS",
+            messageParameters = Map("handle" -> executeHolder.operationId))
+        }
+      }
+      sessionHolder.addExecuteHolder(executeHolder)
+      executions.put(executeHolder.key, executeHolder)
+      lastExecutionTime = None
+      logInfo(s"ExecuteHolder ${executeHolder.key} is created.")
+    }
+
+    schedulePeriodicChecks() // Starts the maintenance thread if it hasn't started.
+
+    executeHolder
+  }
+
+  /**
+   * Remove an ExecuteHolder from this global manager and from its session. Interrupt the
+   * execution if still running, free all resources.
+   */
+  private[connect] def removeExecuteHolder(key: ExecuteKey): Unit = {
+    var executeHolder: Option[ExecuteHolder] = None
+    executionsLock.synchronized {
+      executeHolder = executions.remove(key)
+      executeHolder.foreach(e => e.sessionHolder.removeExecuteHolder(e.operationId))
+      if (executions.isEmpty) {
+        lastExecutionTime = Some(System.currentTimeMillis())
+      }
+      logInfo(s"ExecuteHolder $key is removed.")
+    }
+    // close the execution outside the lock
+    executeHolder.foreach(_.close())
+  }
+
+  private[connect] def getExecuteHolder(key: ExecuteKey): Option[ExecuteHolder] = {
+    executionsLock.synchronized {
+      executions.get(key)
+    }
+  }
+
+  /** Get info about abandoned execution, if there is one. */
+  private[connect] def getAbandonedTombstone(key: ExecuteKey): Option[ExecuteInfo] = {
+    Option(abandonedTombstones.getIfPresent(key))
+  }
+
+  /**
+   * If there are no executions, return Left with System.currentTimeMillis of last active
+   * execution. Otherwise return Right with list of ExecuteInfo of all executions.
+   */
+  def listActiveExecutions: Either[Long, Seq[ExecuteInfo]] = executionsLock.synchronized {
+    if (executions.isEmpty) {
+      Left(lastExecutionTime.get)
+    } else {
+      Right(executions.values.map(_.getExecuteInfo).toBuffer.toSeq)
+    }
+  }
+
+  /**
+   * Return list of executions that got abandoned and removed by periodic maintenance. This is a
+   * cache, and the tombstones will be eventually removed.
+   */
+  def listAbandonedExecutions: Seq[ExecuteInfo] = {
+    abandonedTombstones.asMap.asScala.values.toBuffer.toSeq
+  }
+
+  private[service] def shutdown(): Unit = executionsLock.synchronized {
+    scheduledExecutor.foreach { executor =>
+      executor.shutdown()
+      executor.awaitTermination(1, TimeUnit.MINUTES)
+    }
+    scheduledExecutor = None
+  }
+
+  /**
+   * Schedules periodic maintenance checks if it is not already scheduled. The checks are looking
+   * for executions that have not been closed, but are left with no RPC attached to them, and
+   * removes them after a timeout.
+   */
+  private def schedulePeriodicChecks(): Unit = executionsLock.synchronized {
+    val interval = SparkEnv.get.conf.get(CONNECT_EXECUTE_MANAGER_MAINTENANCE_INTERVAL).toLong
+    val timeout = SparkEnv.get.conf.get(CONNECT_EXECUTE_MANAGER_DETACHED_TIMEOUT).toLong
+
+    scheduledExecutor match {
+      case Some(_) => // Already running.
+      case None =>
+        logInfo(s"Starting thread for cleanup of abandoned executions every $interval ms")
+        scheduledExecutor = Some(Executors.newSingleThreadScheduledExecutor())
+        scheduledExecutor.get.scheduleAtFixedRate(
+          () => {
+            try periodicMaintenance(timeout)
+            catch {
+              case NonFatal(ex) => logWarning("Unexpected exception in periodic task", ex)
+            }
+          },
+          interval,
+          interval,
+          TimeUnit.MILLISECONDS)
+    }
+  }
+
+  // Visible for testing.
+  private[connect] def periodicMaintenance(timeout: Long): Unit = {
+    logInfo("Started periodic run of SparkConnectExecutionManager maintenance.")
+
+    // Find any detached executions that expired and should be removed.
+    val toRemove = new mutable.ArrayBuffer[ExecuteHolder]()
+    executionsLock.synchronized {
+      val nowMs = System.currentTimeMillis()
+
+      executions.values.foreach { executeHolder =>
+        executeHolder.lastAttachedRpcTime match {
+          case Some(detached) =>
+            if (detached + timeout < nowMs) {
+              toRemove += executeHolder
+            }
+          case _ => // execution is active
+        }
+      }
+    }
+    if (!toRemove.isEmpty) {
+      // .. and remove them.
+      toRemove.foreach { executeHolder =>
+        val info = executeHolder.getExecuteInfo
+        logInfo(s"Found execution $info that was abandoned and expired and will be removed.")
+        removeExecuteHolder(executeHolder.key)
+        abandonedTombstones.put(executeHolder.key, info)
+      }
+    }
+    logInfo("Finished periodic run of SparkConnectExecutionManager maintenance.")
+  }
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
index b70c82ab13792..393b832de878e 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
@@ -29,14 +29,25 @@ class SparkConnectReattachExecuteHandler(
     extends Logging {
 
   def handle(v: proto.ReattachExecuteRequest): Unit = {
-    val sessionHolder = SparkConnectService
-      .getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
-    val executeHolder = sessionHolder.executeHolder(v.getOperationId).getOrElse {
-      logDebug(s"Reattach operation not found: ${v.getOperationId}")
-      throw new SparkSQLException(
-        errorClass = "INVALID_HANDLE.OPERATION_NOT_FOUND",
-        messageParameters = Map("handle" -> v.getOperationId))
-    }
+    val executeHolder = SparkConnectService.executionManager
+      .getExecuteHolder(ExecuteKey(v.getUserContext.getUserId, v.getSessionId, v.getOperationId))
+      .getOrElse {
+        if (SparkConnectService.executionManager
+            .getAbandonedTombstone(
+              ExecuteKey(v.getUserContext.getUserId, v.getSessionId, v.getOperationId))
+            .isDefined) {
+          logDebug(s"Reattach operation abandoned: ${v.getOperationId}")
+          throw new SparkSQLException(
+            errorClass = "INVALID_HANDLE.OPERATION_ABANDONED",
+            messageParameters = Map("handle" -> v.getOperationId))
+
+        } else {
+          logDebug(s"Reattach operation not found: ${v.getOperationId}")
+          throw new SparkSQLException(
+            errorClass = "INVALID_HANDLE.OPERATION_NOT_FOUND",
+            messageParameters = Map("handle" -> v.getOperationId))
+        }
+      }
     if (!executeHolder.reattachable) {
       logWarning(s"Reattach to not reattachable operation.")
       throw new SparkSQLException(
@@ -48,10 +59,10 @@ class SparkConnectReattachExecuteHandler(
       new ExecuteGrpcResponseSender[proto.ExecutePlanResponse](executeHolder, responseObserver)
     if (v.hasLastResponseId) {
       // start from response after lastResponseId
-      executeHolder.attachAndRunGrpcResponseSender(responseSender, v.getLastResponseId)
+      executeHolder.runGrpcResponseSender(responseSender, v.getLastResponseId)
     } else {
       // start from the start of the stream.
-      executeHolder.attachAndRunGrpcResponseSender(responseSender)
+      executeHolder.runGrpcResponseSender(responseSender)
     }
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala
index 244aafb81ab73..a3a7815609e40 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReleaseExecuteHandler.scala
@@ -30,33 +30,36 @@ class SparkConnectReleaseExecuteHandler(
   def handle(v: proto.ReleaseExecuteRequest): Unit = {
     val sessionHolder = SparkConnectService
       .getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
-    val executeHolder = sessionHolder.executeHolder(v.getOperationId).getOrElse {
-      throw new SparkSQLException(
-        errorClass = "INVALID_HANDLE.OPERATION_NOT_FOUND",
-        messageParameters = Map("handle" -> v.getOperationId))
-    }
-    if (!executeHolder.reattachable) {
-      throw new SparkSQLException(
-        errorClass = "INVALID_CURSOR.NOT_REATTACHABLE",
-        messageParameters = Map.empty)
-    }
-
-    if (v.hasReleaseAll) {
-      executeHolder.close()
-    } else if (v.hasReleaseUntil) {
-      val responseId = v.getReleaseUntil.getResponseId
-      executeHolder.releaseUntilResponseId(responseId)
-    } else {
-      throw new UnsupportedOperationException(s"Unknown ReleaseExecute type!")
-    }
-
-    val response = proto.ReleaseExecuteResponse
+
+    val responseBuilder = proto.ReleaseExecuteResponse
       .newBuilder()
       .setSessionId(v.getSessionId)
-      .setOperationId(v.getOperationId)
-      .build()
 
-    responseObserver.onNext(response)
+    // ExecuteHolder may be concurrently released by SparkConnectExecutionManager if the
+    // ReleaseExecute arrived after it was abandoned and timed out.
+    // An asynchronous ReleastUntil operation may also arrive after ReleaseAll.
+    // Because of that, make it noop and not fail if the ExecuteHolder is no longer there.
+    val executeHolderOption =
+      sessionHolder.executeHolder(v.getOperationId).foreach { executeHolder =>
+        if (!executeHolder.reattachable) {
+          throw new SparkSQLException(
+            errorClass = "INVALID_CURSOR.NOT_REATTACHABLE",
+            messageParameters = Map.empty)
+        }
+
+        responseBuilder.setOperationId(executeHolder.operationId)
+
+        if (v.hasReleaseAll) {
+          SparkConnectService.executionManager.removeExecuteHolder(executeHolder.key)
+        } else if (v.hasReleaseUntil) {
+          val responseId = v.getReleaseUntil.getResponseId
+          executeHolder.releaseUntilResponseId(responseId)
+        } else {
+          throw new UnsupportedOperationException(s"Unknown ReleaseExecute type!")
+        }
+      }
+
+    responseObserver.onNext(responseBuilder.build())
     responseObserver.onCompleted()
   }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 6e607037e6c69..3b8e1b064f09b 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -277,6 +277,8 @@ object SparkConnectService extends Logging {
   private val userSessionMapping =
     cacheBuilder(CACHE_SIZE, CACHE_TIMEOUT_SECONDS).build[SessionCacheKey, SessionHolder]()
 
+  private[connect] val executionManager = new SparkConnectExecutionManager()
+
   private[connect] val streamingSessionManager =
     new SparkConnectStreamingQueryCache()
 
@@ -352,6 +354,13 @@ object SparkConnectService extends Logging {
     userSessionMapping.invalidateAll()
   }
 
+  /**
+   * Used for testing.
+   */
+  private[connect] def putSessionForTesting(sessionHolder: SessionHolder): Unit = {
+    userSessionMapping.put((sessionHolder.userId, sessionHolder.sessionId), sessionHolder)
+  }
+
   private def newIsolatedSession(): SparkSession = {
     SparkSession.active.newSession()
   }
@@ -408,6 +417,8 @@ object SparkConnectService extends Logging {
         server.shutdownNow()
       }
     }
+    streamingSessionManager.shutdown()
+    executionManager.shutdown()
     userSessionMapping.invalidateAll()
     uiTab.foreach(_.detach())
   }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
index 04f3e15d38ea3..2050ebc01aa01 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/utils/ErrorUtils.scala
@@ -133,10 +133,23 @@ private[connect] object ErrorUtils extends Logging {
     }
     partial
       .andThen { case (original, wrapped) =>
+        if (events.isDefined) {
+          // Errors thrown inside execution are user query errors, return then as INFO.
+          logInfo(
+            s"Spark Connect error " +
+              s"during: $opType. UserId: $userId. SessionId: $sessionId.",
+            original)
+        } else {
+          // Other errors are server RPC errors, return them as ERROR.
+          logError(
+            s"Spark Connect RPC error " +
+              s"during: $opType. UserId: $userId. SessionId: $sessionId.",
+            original)
+        }
+
         // If ExecuteEventsManager is present, this this is an execution error that needs to be
         // posted to it.
         events.foreach { executeEventsManager =>
-          logError(s"Error during: $opType. UserId: $userId. SessionId: $sessionId.", original)
           if (isInterrupted) {
             executeEventsManager.postCanceled()
           } else {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
index 40d83b07b756d..39b4f40215dc3 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
@@ -35,7 +35,7 @@ import org.apache.spark.sql.catalyst.plans.logical
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto
-import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteStatus, SessionHolder, SessionStatus}
+import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteStatus, SessionHolder, SessionStatus, SparkConnectService}
 import org.apache.spark.sql.execution.arrow.ArrowConverters
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
@@ -131,9 +131,10 @@ trait SparkConnectPlanTest extends SharedSparkSession {
     val request = proto.ExecutePlanRequest
       .newBuilder()
       .setPlan(plan)
+      .setSessionId(sessionHolder.sessionId)
       .setUserContext(context)
       .build()
-    val executeHolder = sessionHolder.createExecuteHolder(request)
+    val executeHolder = SparkConnectService.executionManager.createExecuteHolder(request)
     executeHolder.eventsManager.status_(ExecuteStatus.Started)
     executeHolder
   }
diff --git a/docs/sql-error-conditions-invalid-handle-error-class.md b/docs/sql-error-conditions-invalid-handle-error-class.md
index f8d3eab4d1ca2..c4cbb48035ff5 100644
--- a/docs/sql-error-conditions-invalid-handle-error-class.md
+++ b/docs/sql-error-conditions-invalid-handle-error-class.md
@@ -29,6 +29,10 @@ This error class has the following derived error classes:
 
 Handle must be an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'
 
+## OPERATION_ABANDONED
+
+Operation was considered abandoned because of inactivity and removed.
+
 ## OPERATION_ALREADY_EXISTS
 
 Operation already exists.
diff --git a/python/pyspark/sql/connect/proto/base_pb2.py b/python/pyspark/sql/connect/proto/base_pb2.py
index 70363922d8ed3..fa1868b489cc1 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.py
+++ b/python/pyspark/sql/connect/proto/base_pb2.py
@@ -37,7 +37,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x18spark/connect/base.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1cspark/connect/commands.proto\x1a\x1aspark/connect/common.proto\x1a\x1fspark/connect/expressions.proto\x1a\x1dspark/connect/relations.proto\x1a\x19spark/connect/types.proto"t\n\x04Plan\x12-\n\x04root\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationH\x00R\x04root\x12\x32\n\x07\x63ommand\x18\x02 \x01(\x0b\x32\x16.spark.connect.CommandH\x00R\x07\x63ommandB\t\n\x07op_type"z\n\x0bUserContext\x12\x17\n\x07user_id\x18\x01 \x01(\tR\x06userId\x12\x1b\n\tuser_name\x18\x02 \x01(\tR\x08userName\x12\x35\n\nextensions\x18\xe7\x07 \x03(\x0b\x32\x14.google.protobuf.AnyR\nextensions"\xf5\x12\n\x12\x41nalyzePlanRequest\x12\x1d\n\nsession_id\x18\x01 \x01(\tR\tsessionId\x12=\n\x0cuser_context\x18\x02 \x01(\x0b\x32\x1a.spark.connect.UserContextR\x0buserContext\x12$\n\x0b\x63lient_type\x18\x03 \x01(\tH\x01R\nclientType\x88\x01\x01\x12\x42\n\x06schema\x18\x04 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\x01(\tH\x00R\x0boperationId\x88\x01\x01\x42\x0f\n\r_operation_id2\xe7\x05\n\x13SparkConnectService\x12X\n\x0b\x45xecutePlan\x12!.spark.connect.ExecutePlanRequest\x1a".spark.connect.ExecutePlanResponse"\x00\x30\x01\x12V\n\x0b\x41nalyzePlan\x12!.spark.connect.AnalyzePlanRequest\x1a".spark.connect.AnalyzePlanResponse"\x00\x12G\n\x06\x43onfig\x12\x1c.spark.connect.ConfigRequest\x1a\x1d.spark.connect.ConfigResponse"\x00\x12[\n\x0c\x41\x64\x64\x41rtifacts\x12".spark.connect.AddArtifactsRequest\x1a#.spark.connect.AddArtifactsResponse"\x00(\x01\x12\x63\n\x0e\x41rtifactStatus\x12&.spark.connect.ArtifactStatusesRequest\x1a\'.spark.connect.ArtifactStatusesResponse"\x00\x12P\n\tInterrupt\x12\x1f.spark.connect.InterruptRequest\x1a .spark.connect.InterruptResponse"\x00\x12`\n\x0fReattachExecute\x12%.spark.connect.ReattachExecuteRequest\x1a".spark.connect.ExecutePlanResponse"\x00\x30\x01\x12_\n\x0eReleaseExecute\x12$.spark.connect.ReleaseExecuteRequest\x1a%.spark.connect.ReleaseExecuteResponse"\x00\x42\x36\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3'
 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -197,7 +197,7 @@
     _RELEASEEXECUTEREQUEST_RELEASEUNTIL._serialized_start = 11110
     _RELEASEEXECUTEREQUEST_RELEASEUNTIL._serialized_end = 11157
     _RELEASEEXECUTERESPONSE._serialized_start = 11186
-    _RELEASEEXECUTERESPONSE._serialized_end = 11276
-    _SPARKCONNECTSERVICE._serialized_start = 11279
-    _SPARKCONNECTSERVICE._serialized_end = 12022
+    _RELEASEEXECUTERESPONSE._serialized_end = 11298
+    _SPARKCONNECTSERVICE._serialized_start = 11301
+    _SPARKCONNECTSERVICE._serialized_end = 12044
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/base_pb2.pyi b/python/pyspark/sql/connect/proto/base_pb2.pyi
index a886ecbd61842..8fd5fa7a0563b 100644
--- a/python/pyspark/sql/connect/proto/base_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/base_pb2.pyi
@@ -2684,18 +2684,35 @@ class ReleaseExecuteResponse(google.protobuf.message.Message):
     session_id: builtins.str
     """Session id in which the release was running."""
     operation_id: builtins.str
-    """Operation id of the operation which the release concerns."""
+    """Operation id of the operation on which the release executed.
+    If the operation couldn't be found (because e.g. it was concurrently released), will be unset.
+    Otherwise, it will be equal to the operation_id from request.
+    """
     def __init__(
         self,
         *,
         session_id: builtins.str = ...,
-        operation_id: builtins.str = ...,
+        operation_id: builtins.str | None = ...,
     ) -> None: ...
+    def HasField(
+        self,
+        field_name: typing_extensions.Literal[
+            "_operation_id", b"_operation_id", "operation_id", b"operation_id"
+        ],
+    ) -> builtins.bool: ...
     def ClearField(
         self,
         field_name: typing_extensions.Literal[
-            "operation_id", b"operation_id", "session_id", b"session_id"
+            "_operation_id",
+            b"_operation_id",
+            "operation_id",
+            b"operation_id",
+            "session_id",
+            b"session_id",
         ],
     ) -> None: ...
+    def WhichOneof(
+        self, oneof_group: typing_extensions.Literal["_operation_id", b"_operation_id"]
+    ) -> typing_extensions.Literal["operation_id"] | None: ...
 
 global___ReleaseExecuteResponse = ReleaseExecuteResponse
diff --git a/python/pyspark/sql/connect/proto/base_pb2_grpc.py b/python/pyspark/sql/connect/proto/base_pb2_grpc.py
index 2702ec71ff5ce..e6bfda8a40a8b 100644
--- a/python/pyspark/sql/connect/proto/base_pb2_grpc.py
+++ b/python/pyspark/sql/connect/proto/base_pb2_grpc.py
@@ -130,7 +130,7 @@ def ReleaseExecute(self, request, context):
         """Release an reattachable execution, or parts thereof.
         The ExecutePlan must have been started with ReattachOptions.reattachable=true.
         Non reattachable executions are released automatically and immediately after the ExecutePlan
-        RPC and ReleaseExecute doesn't need to be used.
+        RPC and ReleaseExecute may not be used.
         """
         context.set_code(grpc.StatusCode.UNIMPLEMENTED)
         context.set_details("Method not implemented!")

From a39d59f6a21759957cb16ba1b44b21e4966ab776 Mon Sep 17 00:00:00 2001
From: Jason Li <jason.li@databricks.com>
Date: Fri, 11 Aug 2023 16:43:22 -0700
Subject: [PATCH 224/986] [SPARK-44770][WEBUI] Add a displayOrder variable to
 WebUITab to specify the order in which tabs appear

### What changes were proposed in this pull request?
Add a displayOrder variable to WebUITab to specify the order in which tabs appear. Currently, the tabs are ordered by when they get attached, which isn't always desired. The default is MIN_VALUE, meaning if it's not specified, it will appear in the order added before any tabs with a non-default displayOrder.

### Why are the changes needed?
These changes allow control over the order which tabs appear in the UI. Currently, the tabs are ordered by when they get attached, but this doesn't always match the desired order. For example, we would like to have the SQL Tab appear before the Connect tab; however, based on the code flow, the Connect tab will be attached first and with the current logic, that tab would also appear first.

### Does this PR introduce _any_ user-facing change?
Yes, minor user-facing change affecting the order in which tabs appear in the Spark UI

### How was this patch tested?
Manually tested

Before:
<img width="1696" alt="Screenshot 2023-08-10 at 3 54 26 PM" src="https://github.com/apache/spark/assets/65624911/a04ac6a9-c845-4a13-8780-ffe85de15285">

After:
<img width="1679" alt="Screenshot 2023-08-10 at 3 54 42 PM" src="https://github.com/apache/spark/assets/65624911/fb332f73-5e3e-4b03-adfc-15402db01197">

Closes #42459 from jasonli-db/spark-ui-tab-order-3.5.

Authored-by: Jason Li <jason.li@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../apache/spark/sql/connect/ui/SparkConnectServerTab.scala | 2 ++
 core/src/main/scala/org/apache/spark/ui/WebUI.scala         | 6 ++++--
 .../scala/org/apache/spark/sql/execution/ui/SQLTab.scala    | 2 ++
 .../apache/spark/sql/streaming/ui/StreamingQueryTab.scala   | 2 ++
 .../spark/sql/hive/thriftserver/ui/ThriftServerTab.scala    | 2 ++
 5 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
index 4d1820a994c1e..c5ea0bf618b52 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ui/SparkConnectServerTab.scala
@@ -46,6 +46,8 @@ private[connect] class SparkConnectServerTab(
   def detach(): Unit = {
     parent.detachTab(this)
   }
+
+  override def displayOrder: Int = 3
 }
 
 private[connect] object SparkConnectServerTab {
diff --git a/core/src/main/scala/org/apache/spark/ui/WebUI.scala b/core/src/main/scala/org/apache/spark/ui/WebUI.scala
index b3c8ddb44c4cc..b23247c5ee19a 100644
--- a/core/src/main/scala/org/apache/spark/ui/WebUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/WebUI.scala
@@ -198,10 +198,12 @@ private[spark] abstract class WebUITab(parent: WebUI, val prefix: String) {
     pages += page
   }
 
-  /** Get a list of header tabs from the parent UI. */
-  def headerTabs: Seq[WebUITab] = parent.getTabs
+  /** Get a list of header tabs from the parent UI sorted by displayOrder. */
+  def headerTabs: Seq[WebUITab] = parent.getTabs.sortBy(_.displayOrder)
 
   def basePath: String = parent.getBasePath
+
+  def displayOrder: Int = Integer.MIN_VALUE
 }
 
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLTab.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLTab.scala
index 5aa6ddbdb7afe..e6c72ce2e1f13 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLTab.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLTab.scala
@@ -35,6 +35,8 @@ class SQLTab(val sqlStore: SQLAppStatusStore, sparkUI: SparkUI)
   parent.attachTab(this)
 
   parent.addStaticHandler(SQLTab.STATIC_RESOURCE_DIR, "/static/sql")
+
+  override def displayOrder: Int = 0
 }
 
 object SQLTab {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryTab.scala b/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryTab.scala
index 65cad8f06cc1c..6fa32ac2c111a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryTab.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryTab.scala
@@ -33,6 +33,8 @@ private[sql] class StreamingQueryTab(
   parent.attachTab(this)
 
   parent.addStaticHandler(StreamingQueryTab.STATIC_RESOURCE_DIR, "/static/sql")
+
+  override def displayOrder: Int = 2
 }
 
 private[sql] object StreamingQueryTab {
diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerTab.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerTab.scala
index d89780c5e411f..9c3d32918eaa4 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerTab.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerTab.scala
@@ -40,6 +40,8 @@ private[thriftserver] class ThriftServerTab(
   def detach(): Unit = {
     sparkUI.detachTab(this)
   }
+
+  override def displayOrder: Int = 1
 }
 
 private[thriftserver] object ThriftServerTab {

From 619799289b6c19db10defc03c77f60409dd202c3 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Sat, 12 Aug 2023 08:48:02 +0900
Subject: [PATCH 225/986] [SPARK-44625][CONNECT][FOLLOWUP] Make initialization
 of SparkConnectExecutionManager lazy

### What changes were proposed in this pull request?

SparkConnectExecutionManager is a val field in SparkConnectService, so it gets initialized the first time SparkConnectService object is touched. In some scenarios, this can accidentally happen too early, before anything is initialized. SparkConnectExecutionManager wants to read configs from SparkEnv, and when it's not initialized yet it can fail.

Make SparkConnectExecutionManager lazy. Since it is `private[connect]` it should not then be initialized before the service is started.

Raised https://issues.apache.org/jira/browse/SPARK-44779 as a followup to look at the Spark Connect initialization in general.

### Why are the changes needed?

Fix initialization order.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Got one test failure in one specific environment that failed because of wrong initialization order.

Closes #42457 from juliuszsompolski/SPARK-44625-fup.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 3c5f6a2ebf8aaa1fa9081793ced9a1a76c66c371)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/connect/service/SparkConnectService.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 3b8e1b064f09b..15a7782c367fe 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -277,7 +277,7 @@ object SparkConnectService extends Logging {
   private val userSessionMapping =
     cacheBuilder(CACHE_SIZE, CACHE_TIMEOUT_SECONDS).build[SessionCacheKey, SessionHolder]()
 
-  private[connect] val executionManager = new SparkConnectExecutionManager()
+  private[connect] lazy val executionManager = new SparkConnectExecutionManager()
 
   private[connect] val streamingSessionManager =
     new SparkConnectStreamingQueryCache()

From b52086b55b278818755f403ae55e80eda79bd250 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Sat, 12 Aug 2023 08:48:41 +0900
Subject: [PATCH 226/986] [SPARK-44461][3.5][SS][PYTHON][CONNECT] Verify Python
 Version for spark connect streaming workers

### What changes were proposed in this pull request?

Backport https://github.com/apache/spark/pull/42421 into 3.5. Also partially backport https://github.com/apache/spark/pull/42135
Add python version check for spark connect streaming `foreachBatch_worker` and `listener_worker`

### Why are the changes needed?

Necessary check

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

I believe it can be skipped here

Closes #42443 from WweiL/SPARK-44461-3.5-backport-1.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/api/python/PythonWorkerUtils.scala  | 46 +++++++++++++++++++
 .../api/python/StreamingPythonRunner.scala    |  2 +-
 python/pyspark/sql/connect/streaming/query.py |  3 +-
 .../sql/connect/streaming/readwriter.py       |  3 +-
 .../streaming/worker/foreachBatch_worker.py   |  3 ++
 .../streaming/worker/listener_worker.py       |  3 ++
 python/pyspark/worker_util.py                 | 46 +++++++++++++++++++
 7 files changed, 103 insertions(+), 3 deletions(-)
 create mode 100644 core/src/main/scala/org/apache/spark/api/python/PythonWorkerUtils.scala
 create mode 100644 python/pyspark/worker_util.py

diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerUtils.scala b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerUtils.scala
new file mode 100644
index 0000000000000..d55465f135e9f
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerUtils.scala
@@ -0,0 +1,46 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.api.python
+
+import java.io.DataOutputStream
+import java.nio.charset.StandardCharsets
+
+import org.apache.spark.internal.Logging
+
+private[spark] object PythonWorkerUtils extends Logging {
+
+  /**
+   * Write a string in UTF-8 charset.
+   *
+   * It will be read by `UTF8Deserializer.loads` in Python.
+   */
+  def writeUTF(str: String, dataOut: DataOutputStream): Unit = {
+    val bytes = str.getBytes(StandardCharsets.UTF_8)
+    dataOut.writeInt(bytes.length)
+    dataOut.write(bytes)
+  }
+
+  /**
+   * Write a Python version to check if the Python version is expected.
+   *
+   * It will be read and checked by `worker_util.check_python_version`.
+   */
+  def writePythonVersion(pythonVer: String, dataOut: DataOutputStream): Unit = {
+    writeUTF(pythonVer, dataOut)
+  }
+}
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index 1a75965eb9234..cddda6fb7a76b 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -83,7 +83,7 @@ private[spark] class StreamingPythonRunner(
     val stream = new BufferedOutputStream(pythonWorker.get.getOutputStream, bufferSize)
     val dataOut = new DataOutputStream(stream)
 
-    // TODO(SPARK-44461): verify python version
+    PythonWorkerUtils.writePythonVersion(pythonVer, dataOut)
 
     // Send sessionId
     PythonRDD.writeUTF(sessionId, dataOut)
diff --git a/python/pyspark/sql/connect/streaming/query.py b/python/pyspark/sql/connect/streaming/query.py
index 59e98e7bc30f3..021d27e939de8 100644
--- a/python/pyspark/sql/connect/streaming/query.py
+++ b/python/pyspark/sql/connect/streaming/query.py
@@ -23,6 +23,7 @@
 import pyspark.sql.connect.proto as pb2
 from pyspark.serializers import CloudPickleSerializer
 from pyspark.sql.connect import proto
+from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.streaming import StreamingQueryListener
 from pyspark.sql.streaming.query import (
     StreamingQuery as PySparkStreamingQuery,
@@ -237,7 +238,7 @@ def addListener(self, listener: StreamingQueryListener) -> None:
         cmd = pb2.StreamingQueryManagerCommand()
         expr = proto.PythonUDF()
         expr.command = CloudPickleSerializer().dumps(listener)
-        expr.python_ver = "%d.%d" % sys.version_info[:2]
+        expr.python_ver = get_python_ver()
         cmd.add_listener.python_listener_payload.CopyFrom(expr)
         cmd.add_listener.id = listener._id
         self._execute_streaming_query_manager_cmd(cmd)
diff --git a/python/pyspark/sql/connect/streaming/readwriter.py b/python/pyspark/sql/connect/streaming/readwriter.py
index c8cd408404f8f..89097fcf43a01 100644
--- a/python/pyspark/sql/connect/streaming/readwriter.py
+++ b/python/pyspark/sql/connect/streaming/readwriter.py
@@ -31,6 +31,7 @@
     DataStreamReader as PySparkDataStreamReader,
     DataStreamWriter as PySparkDataStreamWriter,
 )
+from pyspark.sql.connect.utils import get_python_ver
 from pyspark.sql.types import Row, StructType
 from pyspark.errors import PySparkTypeError, PySparkValueError
 
@@ -499,7 +500,7 @@ def foreachBatch(self, func: Callable[["DataFrame", int], None]) -> "DataStreamW
         self._write_proto.foreach_batch.python_function.command = CloudPickleSerializer().dumps(
             func
         )
-        self._write_proto.foreach_batch.python_function.python_ver = "%d.%d" % sys.version_info[:2]
+        self._write_proto.foreach_batch.python_function.python_ver = get_python_ver()
         return self
 
     foreachBatch.__doc__ = PySparkDataStreamWriter.foreachBatch.__doc__
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index 48a9848de4009..cf61463cd6870 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -31,12 +31,15 @@
 from pyspark import worker
 from pyspark.sql import SparkSession
 from typing import IO
+from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
+    check_python_version(infile)
+
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index 7aef911426de7..e1f4678e42f16 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -39,12 +39,15 @@
     QueryTerminatedEvent,
     QueryIdleEvent,
 )
+from pyspark.worker_util import check_python_version
 
 pickle_ser = CPickleSerializer()
 utf8_deserializer = UTF8Deserializer()
 
 
 def main(infile: IO, outfile: IO) -> None:
+    check_python_version(infile)
+
     connect_url = os.environ["SPARK_CONNECT_LOCAL_URL"]
     session_id = utf8_deserializer.loads(infile)
 
diff --git a/python/pyspark/worker_util.py b/python/pyspark/worker_util.py
new file mode 100644
index 0000000000000..0c119a5efaf1d
--- /dev/null
+++ b/python/pyspark/worker_util.py
@@ -0,0 +1,46 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+Util functions for workers.
+"""
+import sys
+from typing import IO
+
+from pyspark.errors import PySparkRuntimeError
+from pyspark.serializers import (
+    UTF8Deserializer,
+    CPickleSerializer,
+)
+
+pickleSer = CPickleSerializer()
+utf8_deserializer = UTF8Deserializer()
+
+
+def check_python_version(infile: IO) -> None:
+    """
+    Check the Python version between the running process and the one used to serialize the command.
+    """
+    version = utf8_deserializer.loads(infile)
+    if version != "%d.%d" % sys.version_info[:2]:
+        raise PySparkRuntimeError(
+            error_class="PYTHON_VERSION_MISMATCH",
+            message_parameters={
+                "worker_version": str(sys.version_info[:2]),
+                "driver_version": str(version),
+            },
+        )

From 04e0d85e8a3ed683a4ff851cf823980290e49b5e Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Sat, 12 Aug 2023 08:50:57 +0900
Subject: [PATCH 227/986] [SPARK-44422][FOLLOWUP][CONNECT] Fix typo in
 ProtoUtils

### What changes were proposed in this pull request?

Fix typo - the constant should be a val, not var.

Triggered a style warning for me that got turned into error in my dev environment:
```
[error] vendor/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala:87:15
[error] private var SPARK_JOB_TAGS_SEP in object ProtoUtils is never updated: consider using immutable val
[error]   private var SPARK_JOB_TAGS_SEP = ',' // SparkContext.SPARK_JOB_TAGS_SEP
[error]               ^
[error] one error found
```

### Why are the changes needed?

Typo in previous work.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

CI

Closes #42456 from juliuszsompolski/protoutils-typo.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 3ed99206cc2a387bbfedcafaeee5e8a62cdc3f99)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../scala/org/apache/spark/sql/connect/common/ProtoUtils.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
index 99684eef7d7dd..efbdb6ac19f89 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoUtils.scala
@@ -84,7 +84,7 @@ private[connect] object ProtoUtils {
 
   // Because Spark Connect operation tags are also set as SparkContext Job tags, they cannot contain
   // SparkContext.SPARK_JOB_TAGS_SEP
-  private var SPARK_JOB_TAGS_SEP = ',' // SparkContext.SPARK_JOB_TAGS_SEP
+  private val SPARK_JOB_TAGS_SEP = ',' // SparkContext.SPARK_JOB_TAGS_SEP
 
   /**
    * Validate if a tag for ExecutePlanRequest.tags is valid. Throw IllegalArgumentException if

From 5900123e924d886fb84c3e69af7e535672c94c89 Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Sat, 12 Aug 2023 08:54:12 +0900
Subject: [PATCH 228/986] [SPARK-44740][CONNECT][FOLLOW] Fix metadata values in
 Python client

### What changes were proposed in this pull request?
This is a follow-up PR that avoids putting the session ID into the metadata of the GRPC channel.

### Why are the changes needed?
Behavhior

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
UT

Closes #42452 from grundprinzip/SPARK-44740_v2.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e38d06be77e06864a09a3247f9d1cfd335583be2)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py         |  1 +
 .../sql/tests/connect/test_connect_basic.py       | 15 +++++++++++++++
 2 files changed, 16 insertions(+)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index a9da6723a8cdf..3e0a35ba92659 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -285,6 +285,7 @@ def metadata(self) -> Iterable[Tuple[str, str]]:
                 ChannelBuilder.PARAM_USE_SSL,
                 ChannelBuilder.PARAM_USER_ID,
                 ChannelBuilder.PARAM_USER_AGENT,
+                ChannelBuilder.PARAM_SESSION_ID,
             ]
         ]
 
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 63b65ecce1a38..c1527365fce23 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -3528,6 +3528,21 @@ def test_metadata(self):
         chan = ChannelBuilder(f"sc://host/;session_id={id}")
         self.assertEqual(id, chan.session_id)
 
+        chan = ChannelBuilder(f"sc://host/;session_id={id};user_agent=acbd;token=abcd;use_ssl=true")
+        md = chan.metadata()
+        for kv in md:
+            self.assertNotIn(
+                kv[0],
+                [
+                    ChannelBuilder.PARAM_SESSION_ID,
+                    ChannelBuilder.PARAM_TOKEN,
+                    ChannelBuilder.PARAM_USER_ID,
+                    ChannelBuilder.PARAM_USER_AGENT,
+                    ChannelBuilder.PARAM_USE_SSL,
+                ],
+                "Metadata must not contain fixed params",
+            )
+
         with self.assertRaises(ValueError) as ve:
             chan = ChannelBuilder("sc://host/;session_id=abcd")
             SparkConnectClient(chan)

From b0b15475a0ac2d73b829491532747a249498c1a6 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Sun, 13 Aug 2023 20:27:08 +0200
Subject: [PATCH 229/986] [SPARK-44736][CONNECT] Add Dataset.explode to Spark
 Connect Scala Client
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This PR adds Dataset.explode to the Spark Connect Scala Client.

### Why are the changes needed?
To increase compatibility with the existing Dataset API in sql/core.

### Does this PR introduce _any_ user-facing change?
Yes, it adds a new method to the scala client.

### How was this patch tested?
I added a test to `UserDefinedFunctionE2ETestSuite`.

Closes #42418 from hvanhovell/SPARK-44736.

Lead-authored-by: Herman van Hovell <herman@databricks.com>
Co-authored-by: itholic <haejoon.lee@databricks.com>
Co-authored-by: Juliusz Sompolski <julek@databricks.com>
Co-authored-by: Martin Grund <martin.grund@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Kent Yao <yao@apache.org>
Co-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wei Liu <wei.liu@databricks.com>
Co-authored-by: Ruifeng Zheng <ruifengz@apache.org>
Co-authored-by: Gengliang Wang <gengliang@apache.org>
Co-authored-by: Yuming Wang <yumwang@ebay.com>
Co-authored-by: Herman van Hovell <hvanhovell@databricks.com>
Co-authored-by: 余良 <yul165@chinaunicom.cn>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Co-authored-by: Jack Chen <jack.chen@databricks.com>
Co-authored-by: srielau <serge@rielau.com>
Co-authored-by: zhyhimont <zhyhimont@gmail.com>
Co-authored-by: Daniel Tenedorio <daniel.tenedorio@databricks.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Co-authored-by: Zhyhimont Dmitry <zhyhimont.d@profitero.com>
Co-authored-by: Sandip Agarwala <131817656+sandip-db@users.noreply.github.com>
Co-authored-by: yangjie01 <yangjie01@baidu.com>
Co-authored-by: Yihong He <yihong.he@databricks.com>
Co-authored-by: Rameshkrishnan Muthusamy <rameshkrishnan_muthusamy@apple.com>
Co-authored-by: Jia Fan <fanjiaeminem@qq.com>
Co-authored-by: allisonwang-db <allison.wang@databricks.com>
Co-authored-by: Utkarsh <utkarsh.agarwal@databricks.com>
Co-authored-by: Cheng Pan <chengpan@apache.org>
Co-authored-by: Jason Li <jason.li@databricks.com>
Co-authored-by: Shu Wang <swang7@linkedin.com>
Co-authored-by: Nicolas Fraison <nicolas.fraison@datadoghq.com>
Co-authored-by: Max Gekk <max.gekk@gmail.com>
Co-authored-by: panbingkun <pbk1982@gmail.com>
Co-authored-by: Ziqi Liu <ziqi.liu@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit f496cd1ee2a7e59af08e1bd3ab0579f93cc46da9)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Dataset.scala  | 70 +++++++++++++++++++
 .../sql/UserDefinedFunctionE2ETestSuite.scala | 60 ++++++++++++++++
 .../CheckConnectJvmClientCompatibility.scala  |  1 -
 .../spark/sql/connect/common/UdfUtils.scala   |  4 ++
 .../connect/planner/SparkConnectPlanner.scala |  3 +-
 5 files changed, 136 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 2d72ea6bda8f3..28b04fb850ef3 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -21,12 +21,14 @@ import java.util.{Collections, Locale}
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.reflect.ClassTag
+import scala.reflect.runtime.universe.TypeTag
 import scala.util.control.NonFatal
 
 import org.apache.spark.SparkException
 import org.apache.spark.annotation.DeveloperApi
 import org.apache.spark.api.java.function._
 import org.apache.spark.connect.proto
+import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.OrderUtils
@@ -2728,6 +2730,74 @@ class Dataset[T] private[sql] (
     flatMap(UdfUtils.flatMapFuncToScalaFunc(f))(encoder)
   }
 
+  /**
+   * (Scala-specific) Returns a new Dataset where each row has been expanded to zero or more rows
+   * by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. The columns of the
+   * input row are implicitly joined with each row that is output by the function.
+   *
+   * Given that this is deprecated, as an alternative, you can explode columns either using
+   * `functions.explode()` or `flatMap()`. The following example uses these alternatives to count
+   * the number of books that contain a given word:
+   *
+   * {{{
+   *   case class Book(title: String, words: String)
+   *   val ds: Dataset[Book]
+   *
+   *   val allWords = ds.select($"title", explode(split($"words", " ")).as("word"))
+   *
+   *   val bookCountPerWord = allWords.groupBy("word").agg(count_distinct("title"))
+   * }}}
+   *
+   * Using `flatMap()` this can similarly be exploded as:
+   *
+   * {{{
+   *   ds.flatMap(_.words.split(" "))
+   * }}}
+   *
+   * @group untypedrel
+   * @since 3.5.0
+   */
+  @deprecated("use flatMap() or select() with functions.explode() instead", "3.5.0")
+  def explode[A <: Product: TypeTag](input: Column*)(f: Row => TraversableOnce[A]): DataFrame = {
+    val generator = ScalarUserDefinedFunction(
+      UdfUtils.traversableOnceToSeq(f),
+      UnboundRowEncoder :: Nil,
+      ScalaReflection.encoderFor[Seq[A]])
+    select(col("*"), functions.inline(generator(struct(input: _*))))
+  }
+
+  /**
+   * (Scala-specific) Returns a new Dataset where a single column has been expanded to zero or
+   * more rows by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. All
+   * columns of the input row are implicitly joined with each value that is output by the
+   * function.
+   *
+   * Given that this is deprecated, as an alternative, you can explode columns either using
+   * `functions.explode()`:
+   *
+   * {{{
+   *   ds.select(explode(split($"words", " ")).as("word"))
+   * }}}
+   *
+   * or `flatMap()`:
+   *
+   * {{{
+   *   ds.flatMap(_.words.split(" "))
+   * }}}
+   *
+   * @group untypedrel
+   * @since 3.5.0
+   */
+  @deprecated("use flatMap() or select() with functions.explode() instead", "3.5.0")
+  def explode[A, B: TypeTag](inputColumn: String, outputColumn: String)(
+      f: A => TraversableOnce[B]): DataFrame = {
+    val generator = ScalarUserDefinedFunction(
+      UdfUtils.traversableOnceToSeq(f),
+      Nil,
+      ScalaReflection.encoderFor[Seq[B]])
+    select(col("*"), functions.explode(generator(col(inputColumn))).as((outputColumn)))
+  }
+
   /**
    * Applies a function `f` to all rows.
    *
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
index 3a931c9a6ba80..d00659ac2d8eb 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
@@ -95,6 +95,66 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
     rows.forEach(x => assert(x == 42))
   }
 
+  test("(deprecated) Dataset explode") {
+    val session: SparkSession = spark
+    import session.implicits._
+    val result1 = spark
+      .range(3)
+      .filter(col("id") =!= 1L)
+      .explode(col("id") + 41, col("id") + 10) { case Row(x: Long, y: Long) =>
+        Iterator((x, x - 1), (y, y + 1))
+      }
+      .as[(Long, Long, Long)]
+      .collect()
+      .toSeq
+    assert(result1 === Seq((0L, 41L, 40L), (0L, 10L, 11L), (2L, 43L, 42L), (2L, 12L, 13L)))
+
+    val result2 = Seq((1, "a b c"), (2, "a b"), (3, "a"))
+      .toDF("number", "letters")
+      .explode('letters) { case Row(letters: String) =>
+        letters.split(' ').map(Tuple1.apply).toSeq
+      }
+      .as[(Int, String, String)]
+      .collect()
+      .toSeq
+    assert(
+      result2 === Seq(
+        (1, "a b c", "a"),
+        (1, "a b c", "b"),
+        (1, "a b c", "c"),
+        (2, "a b", "a"),
+        (2, "a b", "b"),
+        (3, "a", "a")))
+
+    val result3 = Seq("a b c", "d e")
+      .toDF("words")
+      .explode("words", "word") { word: String =>
+        word.split(' ').toSeq
+      }
+      .select(col("word"))
+      .as[String]
+      .collect()
+      .toSeq
+    assert(result3 === Seq("a", "b", "c", "d", "e"))
+
+    val result4 = Seq("a b c", "d e")
+      .toDF("words")
+      .explode("words", "word") { word: String =>
+        word.split(' ').map(s => s -> s.head.toInt).toSeq
+      }
+      .select(col("word"), col("words"))
+      .as[((String, Int), String)]
+      .collect()
+      .toSeq
+    assert(
+      result4 === Seq(
+        (("a", 97), "a b c"),
+        (("b", 98), "a b c"),
+        (("c", 99), "a b c"),
+        (("d", 100), "d e"),
+        (("e", 101), "d e")))
+  }
+
   test("Dataset typed flat map - java") {
     val rows = spark
       .range(5)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 04b162eceec28..7356d4daa79d6 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -184,7 +184,6 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.sqlContext"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.metadataColumn"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.selectUntyped"), // protected
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.explode"), // deprecated
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.rdd"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.toJavaRDD"),
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.Dataset.javaRDD"),
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
index 16d5823f4a474..433614a4afc81 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfUtils.scala
@@ -131,6 +131,10 @@ private[sql] object UdfUtils extends Serializable {
 
   def noOp[V, K](): V => K = _ => null.asInstanceOf[K]
 
+  def traversableOnceToSeq[A, B](f: A => TraversableOnce[B]): A => Seq[B] = { value =>
+    f(value).toSeq
+  }
+
   //  (1 to 22).foreach { i =>
   //    val extTypeArgs = (0 to i).map(_ => "_").mkString(", ")
   //    val anyTypeArgs = (0 to i).map(_ => "Any").mkString(", ")
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 49bac17a4f407..dc77c52ef46d3 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -508,7 +508,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     val commonUdf = rel.getFunc
     commonUdf.getFunctionCase match {
       case proto.CommonInlineUserDefinedFunction.FunctionCase.SCALAR_SCALA_UDF =>
-        transformTypedMapPartitions(commonUdf, baseRel)
+        val analyzed = session.sessionState.executePlan(baseRel).analyzed
+        transformTypedMapPartitions(commonUdf, analyzed)
       case proto.CommonInlineUserDefinedFunction.FunctionCase.PYTHON_UDF =>
         val pythonUdf = transformPythonUDF(commonUdf)
         val isBarrier = if (rel.hasIsBarrier) rel.getIsBarrier else false

From f0bb1391fe460fee886bce9151a47e89e75de671 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 14 Aug 2023 02:38:54 +0200
Subject: [PATCH 230/986] [SPARK-44791][CONNECT] Make ArrowDeserializer work
 with REPL generated classes

### What changes were proposed in this pull request?
Connects arrow deserialization currently does not work with REPL generated classes. For example the following code would fail:
```scala
case class MyTestClass(value: Int) {
  override def toString: String = value.toString
}
spark.range(10).map(i => MyTestClass(i.toInt)).collect()
```

The problem is that for instantiation of the `MyTestClass` class we need the instance of the class that it was defined in (its outerscope). In Spark we have a mechanism called `OuterScopes` to register these instances in. The `ArrowDeserializer` was not resolving this outer instance. This PR fixes this.

We have a similar issue on the executor/driver side. This will be fixed in a different PR.

### Why are the changes needed?
It is a bug.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
I have added tests to `ReplE2Esuite` and to the `ArrowEncoderSuite`.

Closes #42473 from hvanhovell/SPARK-44791.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit dcf3d582293c3dbb3820d12fa15b41e8bd5fe6ad)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../apache/spark/util/SparkClassUtils.scala   | 28 ++++++
 .../client/arrow/ArrowDeserializer.scala      | 14 ++-
 .../spark/sql/application/ReplE2ESuite.scala  | 33 ++++---
 .../client/arrow/ArrowEncoderSuite.scala      | 12 ++-
 .../scala/org/apache/spark/util/Utils.scala   | 28 ------
 .../sql/catalyst/encoders/OuterScopes.scala   | 85 ++++++++++++++-----
 .../spark/sql/errors/ExecutionErrors.scala    |  7 ++
 .../sql/errors/QueryExecutionErrors.scala     |  7 --
 8 files changed, 138 insertions(+), 76 deletions(-)
 rename sql/{catalyst => api}/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala (58%)

diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
index a237869aef3bb..679d546d04c9f 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
@@ -50,6 +50,34 @@ trait SparkClassUtils {
   def classIsLoadable(clazz: String): Boolean = {
     Try { classForName(clazz, initialize = false) }.isSuccess
   }
+
+  /**
+   * Returns true if and only if the underlying class is a member class.
+   *
+   * Note: jdk8u throws a "Malformed class name" error if a given class is a deeply-nested
+   * inner class (See SPARK-34607 for details). This issue has already been fixed in jdk9+, so
+   * we can remove this helper method safely if we drop the support of jdk8u.
+   */
+  def isMemberClass(cls: Class[_]): Boolean = {
+    try {
+      cls.isMemberClass
+    } catch {
+      case _: InternalError =>
+        // We emulate jdk8u `Class.isMemberClass` below:
+        //   public boolean isMemberClass() {
+        //     return getSimpleBinaryName() != null && !isLocalOrAnonymousClass();
+        //   }
+        // `getSimpleBinaryName()` returns null if a given class is a top-level class,
+        // so we replace it with `cls.getEnclosingClass != null`. The second condition checks
+        // if a given class is not a local or an anonymous class, so we replace it with
+        // `cls.getEnclosingMethod == null` because `cls.getEnclosingMethod()` return a value
+        // only in either case (JVM Spec 4.8.6).
+        //
+        // Note: The newer jdk evaluates `!isLocalOrAnonymousClass()` first,
+        // we reorder the conditions to follow it.
+        cls.getEnclosingMethod == null && cls.getEnclosingClass != null
+    }
+  }
 }
 
 object SparkClassUtils extends SparkClassUtils
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 55dd640f1b6b1..82086b9d47a87 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -34,7 +34,7 @@ import org.apache.arrow.vector.ipc.ArrowReader
 import org.apache.arrow.vector.util.Text
 
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, OuterScopes}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.connect.client.CloseableIterator
@@ -290,15 +290,23 @@ object ArrowDeserializers {
 
       case (ProductEncoder(tag, fields), StructVectors(struct, vectors)) =>
         // We should try to make this work with MethodHandles.
+        val outer = Option(OuterScopes.getOuterScope(tag.runtimeClass)).map(_()).toSeq
         val Some(constructor) =
-          ScalaReflection.findConstructor(tag.runtimeClass, fields.map(_.enc.clsTag.runtimeClass))
+          ScalaReflection.findConstructor(
+            tag.runtimeClass,
+            outer.map(_.getClass) ++ fields.map(_.enc.clsTag.runtimeClass))
         val deserializers = if (isTuple(tag.runtimeClass)) {
           fields.zip(vectors).map { case (field, vector) =>
             deserializerFor(field.enc, vector, timeZoneId)
           }
         } else {
+          val outerDeserializer = outer.map { value =>
+            new Deserializer[Any] {
+              override def get(i: Int): Any = value
+            }
+          }
           val lookup = createFieldLookup(vectors)
-          fields.map { field =>
+          outerDeserializer ++ fields.map { field =>
             deserializerFor(field.enc, lookup(field.name), timeZoneId)
           }
         }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 0c19b8b7df161..0e69b5afa45ea 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -134,20 +134,6 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     assertContains("Array[Int] = Array(19, 24, 29, 34, 39)", output)
   }
 
-  // SPARK-43198: Switching REPL to CodeClass generation mode causes UDFs defined through lambda
-  // expressions to hit deserialization issues.
-  // TODO(SPARK-43227): Enable test after fixing deserialization issue.
-  ignore("UDF containing lambda expression") {
-    val input = """
-        |class A(x: Int) { def get = x * 20 + 5 }
-        |val dummyUdf = (x: Int) => new A(x).get
-        |val myUdf = udf(dummyUdf)
-        |spark.range(5).select(myUdf(col("id"))).as[Int].collect()
-      """.stripMargin
-    val output = runCommandsInShell(input)
-    assertContains("Array[Int] = Array(5, 25, 45, 65, 85)", output)
-  }
-
   test("UDF containing in-place lambda") {
     val input = """
         |class A(x: Int) { def get = x * 42 + 5 }
@@ -238,9 +224,8 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   test("UDF Registration") {
-    // TODO SPARK-44449 make this long again when upcasting is in.
     val input = """
-        |class A(x: Int) { def get: Long = x * 100 }
+        |class A(x: Int) { def get = x * 100 }
         |val myUdf = udf((x: Int) => new A(x).get)
         |spark.udf.register("dummyUdf", myUdf)
         |spark.sql("select dummyUdf(id) from range(5)").as[Long].collect()
@@ -250,9 +235,8 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   test("UDF closure registration") {
-    // TODO SPARK-44449 make this int again when upcasting is in.
     val input = """
-        |class A(x: Int) { def get: Long = x * 15 }
+        |class A(x: Int) { def get = x * 15 }
         |spark.udf.register("directUdf", (x: Int) => new A(x).get)
         |spark.sql("select directUdf(id) from range(5)").as[Long].collect()
       """.stripMargin
@@ -279,4 +263,17 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     val output = runCommandsInShell(input)
     assertContains("Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])", output)
   }
+
+  test("Collect REPL generated class") {
+    val input = """
+        |case class MyTestClass(value: Int)
+        |spark.range(4).
+        |  filter($"id" % 2 === 1).
+        |  select($"id".cast("int").as("value")).
+        |  as[MyTestClass].
+        |  collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[MyTestClass] = Array(MyTestClass(1), MyTestClass(3))", output)
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 7a8e8465a70cc..2a499cc548fd8 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -33,7 +33,7 @@ import org.scalatest.BeforeAndAfterAll
 import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.{AnalysisException, Row}
 import org.apache.spark.sql.catalyst.{DefinedByConstructorParams, JavaTypeInference, ScalaReflection}
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, OuterScopes}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{BinaryEncoder, BoxedBooleanEncoder, BoxedByteEncoder, BoxedDoubleEncoder, BoxedFloatEncoder, BoxedIntEncoder, BoxedLongEncoder, BoxedShortEncoder, CalendarIntervalEncoder, DateEncoder, DayTimeIntervalEncoder, EncoderField, InstantEncoder, IterableEncoder, JavaDecimalEncoder, LocalDateEncoder, LocalDateTimeEncoder, NullEncoder, PrimitiveBooleanEncoder, PrimitiveByteEncoder, PrimitiveDoubleEncoder, PrimitiveFloatEncoder, PrimitiveIntEncoder, PrimitiveLongEncoder, PrimitiveShortEncoder, RowEncoder, ScalaDecimalEncoder, StringEncoder, TimestampEncoder, UDTEncoder, YearMonthIntervalEncoder}
 import org.apache.spark.sql.catalyst.encoders.RowEncoder.{encoderFor => toRowEncoder}
 import org.apache.spark.sql.catalyst.util.{DateFormatter, SparkStringUtils, TimestampFormatter}
@@ -759,6 +759,16 @@ class ArrowEncoderSuite extends ConnectFunSuite with BeforeAndAfterAll {
     }
   }
 
+  case class MyTestClass(value: Int)
+  OuterScopes.addOuterScope(this)
+
+  test("REPL generated classes") {
+    val encoder = ScalaReflection.encoderFor[MyTestClass]
+    roundTripAndCheckIdentical(encoder) { () =>
+      Iterator.tabulate(10)(MyTestClass)
+    }
+  }
+
   /* ******************************************************************** *
    * Arrow deserialization upcasting
    * ******************************************************************** */
diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index a556f03dc09de..85a8ffc6d2f60 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2866,34 +2866,6 @@ private[spark] object Utils
     Hex.encodeHexString(secretBytes)
   }
 
-  /**
-   * Returns true if and only if the underlying class is a member class.
-   *
-   * Note: jdk8u throws a "Malformed class name" error if a given class is a deeply-nested
-   * inner class (See SPARK-34607 for details). This issue has already been fixed in jdk9+, so
-   * we can remove this helper method safely if we drop the support of jdk8u.
-   */
-  def isMemberClass(cls: Class[_]): Boolean = {
-    try {
-      cls.isMemberClass
-    } catch {
-      case _: InternalError =>
-        // We emulate jdk8u `Class.isMemberClass` below:
-        //   public boolean isMemberClass() {
-        //     return getSimpleBinaryName() != null && !isLocalOrAnonymousClass();
-        //   }
-        // `getSimpleBinaryName()` returns null if a given class is a top-level class,
-        // so we replace it with `cls.getEnclosingClass != null`. The second condition checks
-        // if a given class is not a local or an anonymous class, so we replace it with
-        // `cls.getEnclosingMethod == null` because `cls.getEnclosingMethod()` return a value
-        // only in either case (JVM Spec 4.8.6).
-        //
-        // Note: The newer jdk evaluates `!isLocalOrAnonymousClass()` first,
-        // we reorder the conditions to follow it.
-        cls.getEnclosingMethod == null && cls.getEnclosingClass != null
-    }
-  }
-
   /**
    * Safer than Class obj's getSimpleName which may throw Malformed class name error in scala.
    * This method mimics scalatest's getSimpleNameOfAnObjectsClass.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
similarity index 58%
rename from sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
rename to sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
index 6f7150d8d33e6..c2ac504c846e6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
@@ -17,17 +17,53 @@
 
 package org.apache.spark.sql.catalyst.encoders
 
-import java.util.concurrent.ConcurrentMap
+import java.lang.ref._
+import java.util.Objects
+import java.util.concurrent.ConcurrentHashMap
 
-import com.google.common.collect.MapMaker
-
-import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.util.Utils
+import org.apache.spark.sql.errors.ExecutionErrors
+import org.apache.spark.util.SparkClassUtils
 
 object OuterScopes {
-  @transient
-  lazy val outerScopes: ConcurrentMap[String, AnyRef] =
-    new MapMaker().weakValues().makeMap()
+  private[this] val queue = new ReferenceQueue[AnyRef]
+  private class HashableWeakReference(v: AnyRef) extends WeakReference[AnyRef](v, queue) {
+    private[this] val hash = v.hashCode()
+    override def hashCode(): Int = hash
+    override def equals(obj: Any): Boolean = {
+      obj match {
+        case other: HashableWeakReference =>
+          // Note that referential equality is used to identify & purge
+          // references from the map whose' referent went out of scope.
+          if (this eq other) {
+            true
+          } else {
+            val referent = get()
+            val otherReferent = other.get()
+            referent != null && otherReferent != null && Objects.equals(referent, otherReferent)
+          }
+        case _ => false
+      }
+    }
+  }
+
+  private def classLoaderRef(c: Class[_]): HashableWeakReference = {
+    new HashableWeakReference(c.getClassLoader)
+  }
+
+  private[this] val outerScopes = {
+    new ConcurrentHashMap[HashableWeakReference, ConcurrentHashMap[String, WeakReference[AnyRef]]]
+  }
+
+  /**
+   * Clean the outer scopes that have been garbage collected.
+   */
+  private def cleanOuterScopes(): Unit = {
+    var entry = queue.poll()
+    while (entry != null) {
+      outerScopes.remove(entry)
+      entry = queue.poll()
+    }
+  }
 
   /**
    * Adds a new outer scope to this context that can be used when instantiating an `inner class`
@@ -40,7 +76,11 @@ object OuterScopes {
    * given wrapper class.
    */
   def addOuterScope(outer: AnyRef): Unit = {
-    outerScopes.putIfAbsent(outer.getClass.getName, outer)
+    cleanOuterScopes()
+    val clz = outer.getClass
+    outerScopes
+      .computeIfAbsent(classLoaderRef(clz), _ => new ConcurrentHashMap)
+      .putIfAbsent(clz.getName, new WeakReference(outer))
   }
 
   /**
@@ -49,16 +89,24 @@ object OuterScopes {
    * useful for inner class defined in REPL.
    */
   def getOuterScope(innerCls: Class[_]): () => AnyRef = {
-    assert(Utils.isMemberClass(innerCls))
-    val outerClassName = innerCls.getDeclaringClass.getName
-    val outer = outerScopes.get(outerClassName)
+    if (!SparkClassUtils.isMemberClass(innerCls)) {
+      return null
+    }
+    val outerClass = innerCls.getDeclaringClass
+    val outerClassName = outerClass.getName
+    val outer = Option(outerScopes.get(classLoaderRef(outerClass)))
+      .flatMap(map => Option(map.get(outerClassName)))
+      .map(_.get())
+      .orNull
     if (outer == null) {
       outerClassName match {
         case AmmoniteREPLClass(cellClassName) =>
           () => {
-            val objClass = Utils.classForName(cellClassName)
+            val objClass = SparkClassUtils.classForName(cellClassName)
             val objInstance = objClass.getField("MODULE$").get(null)
-            objClass.getMethod("instance").invoke(objInstance)
+            val obj = objClass.getMethod("instance").invoke(objInstance)
+            addOuterScope(obj)
+            obj
           }
         // If the outer class is generated by REPL, users don't need to register it as it has
         // only one instance and there is a way to retrieve it: get the `$read` object, call the
@@ -66,10 +114,10 @@ object OuterScopes {
         // method multiply times to get the single instance of the inner most `$iw` class.
         case REPLClass(baseClassName) =>
           () => {
-            val objClass = Utils.classForName(baseClassName + "$")
+            val objClass = SparkClassUtils.classForName(baseClassName + "$")
             val objInstance = objClass.getField("MODULE$").get(null)
             val baseInstance = objClass.getMethod("INSTANCE").invoke(objInstance)
-            val baseClass = Utils.classForName(baseClassName)
+            val baseClass = SparkClassUtils.classForName(baseClassName)
 
             var getter = iwGetter(baseClass)
             var obj = baseInstance
@@ -79,10 +127,9 @@ object OuterScopes {
             }
 
             if (obj == null) {
-              throw QueryExecutionErrors.cannotGetOuterPointerForInnerClassError(innerCls)
+              throw ExecutionErrors.cannotGetOuterPointerForInnerClassError(innerCls)
             }
-
-            outerScopes.putIfAbsent(outerClassName, obj)
+            addOuterScope(obj)
             obj
           }
         case _ => null
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
index 1e8e0ef5f6a7f..c8321e81027ba 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/ExecutionErrors.scala
@@ -206,6 +206,13 @@ private[sql] trait ExecutionErrors extends DataTypeErrorsBase {
       errorClass = "_LEGACY_ERROR_TEMP_2021",
       messageParameters = Map("cls" -> cls.toString))
   }
+
+  def cannotGetOuterPointerForInnerClassError(innerCls: Class[_]): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "_LEGACY_ERROR_TEMP_2154",
+      messageParameters = Map(
+        "innerCls" -> innerCls.getName))
+  }
 }
 
 private[sql] object ExecutionErrors extends ExecutionErrors
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 7685e0f907cc3..45986e42348d8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -1422,13 +1422,6 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
         "objSerializer" -> objSerializer.toString()))
   }
 
-  def cannotGetOuterPointerForInnerClassError(innerCls: Class[_]): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2154",
-      messageParameters = Map(
-        "innerCls" -> innerCls.getName))
-  }
-
   def unsupportedOperandTypeForSizeFunctionError(
       dataType: DataType): SparkUnsupportedOperationException = {
     new SparkUnsupportedOperationException(

From 0742644d21b816c8c94ebaf5c789e2ec4e30b099 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 14 Aug 2023 10:40:15 +0800
Subject: [PATCH 231/986] [SPARK-44775][PYTHON][DOCS] Add missing version
 information in DataFrame APIs

### What changes were proposed in this pull request?
Add missing version information in DataFrame APIs

### Why are the changes needed?
to improve docs

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
CI

Closes #42451 from zhengruifeng/doc_df_api_versions.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 6bd95d0e004505840aa0749107aa76f3a17958be)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/dataframe.py | 16 ++-----------
 python/pyspark/sql/dataframe.py         | 30 ++++++++++++++++++++++++-
 2 files changed, 31 insertions(+), 15 deletions(-)

diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 14d9c2c9d05a8..7b326538a8e0a 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -2023,22 +2023,10 @@ def writeTo(self, table: str) -> "DataFrameWriterV2":
 
     # SparkConnect specific API
     def offset(self, n: int) -> "DataFrame":
-        """Returns a new :class: `DataFrame` by skipping the first `n` rows.
-
-        .. versionadded:: 3.4.0
-
-        Parameters
-        ----------
-        num : int
-            Number of records to skip.
-
-        Returns
-        -------
-        :class:`DataFrame`
-            Subset of the records
-        """
         return DataFrame.withPlan(plan.Offset(child=self._plan, offset=n), session=self._session)
 
+    offset.__doc__ = PySparkDataFrame.offset.__doc__
+
     @classmethod
     def withPlan(cls, plan: plan.LogicalPlan, session: "SparkSession") -> "DataFrame":
         """
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index f6fe17539c6e3..8be2c2242651a 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -516,6 +516,9 @@ def writeStream(self) -> DataStreamWriter:
 
         .. versionadded:: 2.0.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         This API is evolving.
@@ -1304,7 +1307,10 @@ def limit(self, num: int) -> "DataFrame":
     def offset(self, num: int) -> "DataFrame":
         """Returns a new :class: `DataFrame` by skipping the first `n` rows.
 
-        .. versionadded:: 3.5.0
+        .. versionadded:: 3.4.0
+
+        .. versionchanged:: 3.5.0
+            Supports vanilla PySpark.
 
         Parameters
         ----------
@@ -3540,6 +3546,9 @@ def melt(
 
         .. versionadded:: 3.4.0
 
+        .. versionchanged:: 3.4.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         ids : str, Column, tuple, list, optional
@@ -3631,6 +3640,9 @@ def observe(
 
         .. versionadded:: 3.3.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Parameters
         ----------
         observation : :class:`Observation` or str
@@ -4066,6 +4078,9 @@ def dropDuplicatesWithinWatermark(self, subset: Optional[List[str]] = None) -> "
 
          .. versionadded:: 3.5.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
          Parameters
          ----------
          subset : List of column names, optional
@@ -5276,6 +5291,8 @@ def drop(self, *cols: "ColumnOrName") -> "DataFrame":  # type: ignore[misc]
     def toDF(self, *cols: str) -> "DataFrame":
         """Returns a new :class:`DataFrame` that with new specified column names
 
+        .. versionadded:: 1.6.0
+
         .. versionchanged:: 3.4.0
             Supports Spark Connect.
 
@@ -5381,6 +5398,9 @@ def sameSemantics(self, other: "DataFrame") -> bool:
 
         .. versionadded:: 3.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         The equality comparison here is simplified by tolerating the cosmetic differences
@@ -5426,6 +5446,9 @@ def semanticHash(self) -> int:
 
         .. versionadded:: 3.1.0
 
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         Notes
         -----
         Unlike the standard hash code, the hash is calculated against the query plan
@@ -5549,6 +5572,11 @@ def pandas_api(
         """
         Converts the existing DataFrame into a pandas-on-Spark DataFrame.
 
+        .. versionadded:: 3.2.0
+
+        .. versionchanged:: 3.5.0
+            Supports Spark Connect.
+
         If a pandas-on-Spark DataFrame is converted to a Spark DataFrame and then back
         to pandas-on-Spark, it will lose the index information and the original index
         will be turned into a normal column.

From 76e61c44aa28e12d363d86a401fd581bf3b054c1 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 15 Aug 2023 03:10:42 +0200
Subject: [PATCH 232/986] [SPARK-44795][CONNECT] CodeGenerator Cache should be
 classloader specific

### What changes were proposed in this pull request?
When you currently use a REPL generated class in a UDF you can get an error saying that that class is not equal to that class. This error is thrown in a code generated class. The problem is that the classes have been loaded by different classloaders. We cache generated code and use the textual code as the string. The problem with this is that in Spark Connect users are free in supplying user classes that can have arbitrary names, a name can point to an entirely different class, or it can point to the same class (in bytes) but loaded by a different classloader. We need to add the classloader to the key in the code gen cache to make this safe.

There are roughly two ways how this problem can arise:
1. Two sessions use the same class names. This is particularly easy when you use the REPL because this  always generates the same names.
2. You run in single process mode. In this case wholestage codegen will test compile the class using a different classloader then the 'executor', while sharing the same code generator cache.

### Why are the changes needed?
We want to be able to use REPL (and other)

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
I added a test to the `ReplE2ESuite`.

Closes #42478 from hvanhovell/SPARK-44795.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 1d562904e4e75aec3ea8d4999ede0183fda326c7)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/application/ReplE2ESuite.scala  |  9 ++++
 .../sql/catalyst/encoders/OuterScopes.scala   | 49 +++++++++++--------
 .../expressions/codegen/CodeGenerator.scala   | 30 ++++++------
 3 files changed, 54 insertions(+), 34 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 0e69b5afa45ea..0cab66eef3dc5 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -276,4 +276,13 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     val output = runCommandsInShell(input)
     assertContains("Array[MyTestClass] = Array(MyTestClass(1), MyTestClass(3))", output)
   }
+
+  test("REPL class in UDF") {
+    val input = """
+        |case class MyTestClass(value: Int)
+        |spark.range(2).map(i => MyTestClass(i.toInt)).collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[MyTestClass] = Array(MyTestClass(0), MyTestClass(1))", output)
+  }
 }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
index c2ac504c846e6..6c10e8ece800b 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
@@ -26,28 +26,9 @@ import org.apache.spark.util.SparkClassUtils
 
 object OuterScopes {
   private[this] val queue = new ReferenceQueue[AnyRef]
-  private class HashableWeakReference(v: AnyRef) extends WeakReference[AnyRef](v, queue) {
-    private[this] val hash = v.hashCode()
-    override def hashCode(): Int = hash
-    override def equals(obj: Any): Boolean = {
-      obj match {
-        case other: HashableWeakReference =>
-          // Note that referential equality is used to identify & purge
-          // references from the map whose' referent went out of scope.
-          if (this eq other) {
-            true
-          } else {
-            val referent = get()
-            val otherReferent = other.get()
-            referent != null && otherReferent != null && Objects.equals(referent, otherReferent)
-          }
-        case _ => false
-      }
-    }
-  }
 
   private def classLoaderRef(c: Class[_]): HashableWeakReference = {
-    new HashableWeakReference(c.getClassLoader)
+    new HashableWeakReference(c.getClassLoader, queue)
   }
 
   private[this] val outerScopes = {
@@ -154,3 +135,31 @@ object OuterScopes {
   // e.g. `ammonite.$sess.cmd8$Helper$Foo` -> `ammonite.$sess.cmd8.instance.Foo`
   private[this] val AmmoniteREPLClass = """^(ammonite\.\$sess\.cmd(?:\d+)\$).*""".r
 }
+
+/**
+ * A [[WeakReference]] that has a stable hash-key. When the referent is still alive we will use
+ * the referent for equality, once it is dead it we will fallback to referential equality. This
+ * way you can still do lookups in a map when the referent is alive, and are capable of removing
+ * dead entries after GC (using a [[ReferenceQueue]]).
+ */
+private[catalyst] class HashableWeakReference(v: AnyRef, queue: ReferenceQueue[AnyRef])
+  extends WeakReference[AnyRef](v, queue) {
+  def this(v: AnyRef) = this(v, null)
+  private[this] val hash = v.hashCode()
+  override def hashCode(): Int = hash
+  override def equals(obj: Any): Boolean = {
+    obj match {
+      case other: HashableWeakReference =>
+        // Note that referential equality is used to identify & purge
+        // references from the map whose' referent went out of scope.
+        if (this eq other) {
+          true
+        } else {
+          val referent = get()
+          val otherReferent = other.get()
+          referent != null && otherReferent != null && Objects.equals(referent, otherReferent)
+        }
+      case _ => false
+    }
+  }
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
index 8d10f6cd2952c..fe61cc81359e4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
@@ -35,6 +35,7 @@ import org.apache.spark.executor.InputMetrics
 import org.apache.spark.internal.Logging
 import org.apache.spark.metrics.source.CodegenMetrics
 import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.encoders.HashableWeakReference
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.types._
@@ -1439,7 +1440,8 @@ object CodeGenerator extends Logging {
    * @return a pair of a generated class and the bytecode statistics of generated functions.
    */
   def compile(code: CodeAndComment): (GeneratedClass, ByteCodeStats) = try {
-    cache.get(code)
+    val classLoaderRef = new HashableWeakReference(Utils.getContextOrSparkClassLoader)
+    cache.get((classLoaderRef, code))
   } catch {
     // Cache.get() may wrap the original exception. See the following URL
     // https://guava.dev/releases/14.0.1/api/docs/com/google/common/cache/
@@ -1581,20 +1583,20 @@ object CodeGenerator extends Logging {
    * aborted. See [[NonFateSharingCache]] for more details.
    */
   private val cache = {
-    def loadFunc: CodeAndComment => (GeneratedClass, ByteCodeStats) = code => {
-      val startTime = System.nanoTime()
-      val result = doCompile(code)
-      val endTime = System.nanoTime()
-      val duration = endTime - startTime
-      val timeMs: Double = duration.toDouble / NANOS_PER_MILLIS
-      CodegenMetrics.METRIC_SOURCE_CODE_SIZE.update(code.body.length)
-      CodegenMetrics.METRIC_COMPILATION_TIME.update(timeMs.toLong)
-      logInfo(s"Code generated in $timeMs ms")
-      _compileTime.add(duration)
-      result
+    val loadFunc: ((HashableWeakReference, CodeAndComment)) => (GeneratedClass, ByteCodeStats) = {
+      case (_, code) =>
+        val startTime = System.nanoTime()
+        val result = doCompile(code)
+        val endTime = System.nanoTime()
+        val duration = endTime - startTime
+        val timeMs: Double = duration.toDouble / NANOS_PER_MILLIS
+        CodegenMetrics.METRIC_SOURCE_CODE_SIZE.update(code.body.length)
+        CodegenMetrics.METRIC_COMPILATION_TIME.update(timeMs.toLong)
+        logInfo(s"Code generated in $timeMs ms")
+        _compileTime.add(duration)
+        result
     }
-    NonFateSharingCache[CodeAndComment, (GeneratedClass, ByteCodeStats)](
-      loadFunc, SQLConf.get.codegenCacheMaxEntries)
+    NonFateSharingCache(loadFunc, SQLConf.get.codegenCacheMaxEntries)
   }
 
   /**

From 247948194a08c6d090bfd26daf6b63a68374e6f2 Mon Sep 17 00:00:00 2001
From: Andy Grove <andygrove73@gmail.com>
Date: Tue, 15 Aug 2023 10:12:55 +0800
Subject: [PATCH 233/986] [SPARK-43063][SQL][FOLLOWUP] Add a space between ->
 and value when first value is null

As noted by cloud-fan https://github.com/apache/spark/pull/41432#discussion_r1242593592, https://github.com/apache/spark/pull/41432 fixed a formatting issue when casting map to string but did not fix it in the codegen case.

This PR fixes the issue and updates a unit test to test the codegen path. Without the fix, the test fails with:

```
- SPARK-22973 Cast map to string *** FAILED ***
  Incorrect evaluation (fallback mode = CODEGEN_ONLY): cast(map(keys: [1,2,3], values: [null,[B5c3fd9f3,[B70f84210]) as string),
  actual: {1 ->null, 2 -> a, 3 -> c},
expected: {1 -> null, 2 -> a, 3 -> c} (ExpressionEvalHelper.scala:270)
```

Closes #42434 from andygrove/space-before-null-cast-codegen.

Authored-by: Andy Grove <andygrove73@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7e52169433575a7df164368106fa3f6c73e4233e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/catalyst/expressions/ToStringBase.scala | 2 +-
 .../spark/sql/catalyst/expressions/CastSuiteBase.scala       | 5 +++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
index f903863bec6b2..1eac386d873f2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ToStringBase.scala
@@ -352,7 +352,7 @@ trait ToStringBase { self: UnaryExpression with TimeZoneAwareExpression =>
        |  $buffer.append($keyToStringFunc($getMapFirstKey));
        |  $buffer.append(" ->");
        |  if ($map.valueArray().isNullAt(0)) {
-       |    ${appendNull(buffer, isFirstElement = true)}
+       |    ${appendNull(buffer, isFirstElement = false)}
        |  } else {
        |    $buffer.append(" ");
        |    $buffer.append($valueToStringFunc($getMapFirstValue));
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
index 34f87f940a788..0172fd9b3e4c7 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
@@ -826,9 +826,10 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
         val ret1 = cast(Literal.create(Map(1 -> "a", 2 -> "b", 3 -> "c")), StringType)
         checkEvaluation(ret1, s"${lb}1 -> a, 2 -> b, 3 -> c$rb")
         val ret2 = cast(
-          Literal.create(Map("1" -> "a".getBytes, "2" -> null, "3" -> "c".getBytes)),
+          Literal.create(Map("1" -> null, "2" -> "a".getBytes, "3" -> null, "4" -> "c".getBytes)),
           StringType)
-        checkEvaluation(ret2, s"${lb}1 -> a, 2 ->${if (legacyCast) "" else " null"}, 3 -> c$rb")
+        val nullStr = if (legacyCast) "" else " null"
+        checkEvaluation(ret2, s"${lb}1 ->$nullStr, 2 -> a, 3 ->$nullStr, 4 -> c$rb")
         val ret3 = cast(
           Literal.create(Map(
             1 -> Date.valueOf("2014-12-03"),

From 24bf4297f8280b1db42026197282542863420b98 Mon Sep 17 00:00:00 2001
From: zeruibao <zerui.bao@databricks.com>
Date: Mon, 14 Aug 2023 19:36:40 -0700
Subject: [PATCH 234/986] [SPARK-43380][SQL] Revert `Fix Avro data type
 conversion issues`

### What changes were proposed in this pull request?
Revert my last PR https://github.com/apache/spark/pull/41052 that causes AVRO read performance regression since I change the code structure.

### Why are the changes needed?
Remove performance regression

### How was this patch tested?
Unit test

Closes #42458 from zeruibao/revert-avro-change.

Authored-by: zeruibao <zerui.bao@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 46580ab4cb02390ba71dace1235015749f048fff)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../main/resources/error/error-classes.json   |  10 -
 .../spark/sql/avro/AvroDeserializer.scala     | 456 ++++++++----------
 .../org/apache/spark/sql/avro/AvroSuite.scala | 161 -------
 docs/sql-error-conditions.md                  |  14 -
 docs/sql-migration-guide.md                   |   1 -
 .../sql/errors/QueryCompilationErrors.scala   |  30 --
 .../apache/spark/sql/internal/SQLConf.scala   |  12 -
 7 files changed, 189 insertions(+), 495 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 74542f2b91485..5fdb2fbe77ecf 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -69,16 +69,6 @@
       }
     }
   },
-  "AVRO_INCORRECT_TYPE" : {
-    "message" : [
-      "Cannot convert Avro <avroPath> to SQL <sqlPath> because the original encoded data type is <avroType>, however you're trying to read the field as <sqlType>, which would lead to an incorrect answer. To allow reading this field, enable the SQL configuration: <key>."
-    ]
-  },
-  "AVRO_LOWER_PRECISION" : {
-    "message" : [
-      "Cannot convert Avro <avroPath> to SQL <sqlPath> because the original encoded data type is <avroType>, however you're trying to read the field as <sqlType>, which leads to data being read as null. Please provide a wider decimal type to get the correct result. To allow reading null to this field, enable the SQL configuration: <key>."
-    ]
-  },
   "BATCH_METADATA_NOT_FOUND" : {
     "message" : [
       "Unable to find batch <batchMetadataFile>."
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
index d4d34a891e95e..a78ee89a3e933 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
@@ -35,9 +35,8 @@ import org.apache.spark.sql.catalyst.expressions.{SpecificInternalRow, UnsafeArr
 import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, ArrayData, DateTimeUtils, GenericArrayData}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MILLIS_PER_DAY
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
-import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.DataSourceUtils
-import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.LegacyBehaviorPolicy
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -118,268 +117,178 @@ private[sql] class AvroDeserializer(
     val incompatibleMsg = errorPrefix +
         s"schema is incompatible (avroType = $avroType, sqlType = ${catalystType.sql})"
 
-    val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA
-    val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
+    (avroType.getType, catalystType) match {
+      case (NULL, NullType) => (updater, ordinal, _) =>
+        updater.setNullAt(ordinal)
 
-    val logicalDataType = SchemaConverters.toSqlType(avroType).dataType
-    avroType.getType match {
-      case NULL =>
-        (logicalDataType, catalystType) match {
-          case (_, NullType) => (updater, ordinal, _) =>
-            updater.setNullAt(ordinal)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
       // TODO: we can avoid boxing if future version of avro provide primitive accessors.
-      case BOOLEAN =>
-        (logicalDataType, catalystType) match {
-          case (_, BooleanType) => (updater, ordinal, value) =>
-            updater.setBoolean(ordinal, value.asInstanceOf[Boolean])
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
+      case (BOOLEAN, BooleanType) => (updater, ordinal, value) =>
+        updater.setBoolean(ordinal, value.asInstanceOf[Boolean])
+
+      case (INT, IntegerType) => (updater, ordinal, value) =>
+        updater.setInt(ordinal, value.asInstanceOf[Int])
+
+      case (INT, DateType) => (updater, ordinal, value) =>
+        updater.setInt(ordinal, dateRebaseFunc(value.asInstanceOf[Int]))
+
+      case (LONG, LongType) => (updater, ordinal, value) =>
+        updater.setLong(ordinal, value.asInstanceOf[Long])
+
+      case (LONG, TimestampType) => avroType.getLogicalType match {
+        // For backward compatibility, if the Avro type is Long and it is not logical type
+        // (the `null` case), the value is processed as timestamp type with millisecond precision.
+        case null | _: TimestampMillis => (updater, ordinal, value) =>
+          val millis = value.asInstanceOf[Long]
+          val micros = DateTimeUtils.millisToMicros(millis)
+          updater.setLong(ordinal, timestampRebaseFunc(micros))
+        case _: TimestampMicros => (updater, ordinal, value) =>
+          val micros = value.asInstanceOf[Long]
+          updater.setLong(ordinal, timestampRebaseFunc(micros))
+        case other => throw new IncompatibleSchemaException(errorPrefix +
+          s"Avro logical type $other cannot be converted to SQL type ${TimestampType.sql}.")
+      }
 
-      case INT =>
-        (logicalDataType, catalystType) match {
-          case (IntegerType, IntegerType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, value.asInstanceOf[Int])
-          case (IntegerType, DateType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, dateRebaseFunc(value.asInstanceOf[Int]))
-          case (DateType, DateType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, dateRebaseFunc(value.asInstanceOf[Int]))
-          case (_: YearMonthIntervalType, _: YearMonthIntervalType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, value.asInstanceOf[Int])
-          case (_: YearMonthIntervalType, _) if preventReadingIncorrectType =>
-            throw QueryCompilationErrors.avroIncorrectTypeError(
-              toFieldStr(avroPath), toFieldStr(catalystPath),
-              logicalDataType.catalogString, catalystType.catalogString, confKey.key)
-          case _ if !preventReadingIncorrectType => (updater, ordinal, value) =>
-            updater.setInt(ordinal, value.asInstanceOf[Int])
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case LONG =>
-        (logicalDataType, catalystType) match {
-          case (LongType, LongType) => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case (TimestampType, LongType) => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case (TimestampNTZType, LongType) => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case (LongType, TimestampType)
-               | (TimestampType, TimestampType)
-               |(TimestampNTZType, TimestampType) => avroType.getLogicalType match {
-            // For backward compatibility, if the Avro type is Long and it is not logical type
-            // (the `null` case), the value is processed as timestamp type with
-            // millisecond precision.
-            case null | _: TimestampMillis => (updater, ordinal, value) =>
-              val millis = value.asInstanceOf[Long]
-              val micros = DateTimeUtils.millisToMicros(millis)
-              updater.setLong(ordinal, timestampRebaseFunc(micros))
-            case _: TimestampMicros => (updater, ordinal, value) =>
-              val micros = value.asInstanceOf[Long]
-              updater.setLong(ordinal, timestampRebaseFunc(micros))
-            case other => throw new IncompatibleSchemaException(errorPrefix +
-              s"Avro logical type $other cannot be converted to SQL type ${TimestampType.sql}.")
-          }
-          case (LongType, TimestampNTZType)
-               | (TimestampNTZType, TimestampNTZType)
-               | (TimestampType, TimestampNTZType) => avroType.getLogicalType match {
-            // To keep consistent with TimestampType, if the Avro type is Long and it is not
-            // logical type (the `null` case), the value is processed as TimestampNTZ
-            // with millisecond precision.
-            case null | _: LocalTimestampMillis => (updater, ordinal, value) =>
-              val millis = value.asInstanceOf[Long]
-              val micros = DateTimeUtils.millisToMicros(millis)
-              updater.setLong(ordinal, micros)
-            case _: LocalTimestampMicros => (updater, ordinal, value) =>
-              val micros = value.asInstanceOf[Long]
-              updater.setLong(ordinal, micros)
-            case other => throw new IncompatibleSchemaException(errorPrefix +
-              s"Avro logical type $other cannot be converted to SQL type ${TimestampNTZType.sql}.")
-          }
-          // Before we upgrade Avro to 1.8 for logical type support,
-          // spark-avro converts Long to Date.
-          // For backward compatibility, we still keep this conversion.
-          case (LongType, DateType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, (value.asInstanceOf[Long] / MILLIS_PER_DAY).toInt)
-          case (DateType, DateType) => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case (_: DayTimeIntervalType, _: DayTimeIntervalType) => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case (_: DayTimeIntervalType, _) if preventReadingIncorrectType =>
-            throw QueryCompilationErrors.avroIncorrectTypeError(
-              toFieldStr(avroPath), toFieldStr(catalystPath),
-              logicalDataType.catalogString, catalystType.catalogString, confKey.key)
-          case (_: DayTimeIntervalType, DateType) => (updater, ordinal, value) =>
-            updater.setInt(ordinal, (value.asInstanceOf[Long] / MILLIS_PER_DAY).toInt)
-          case (_, dt: DecimalType) => (updater, ordinal, value) =>
-            val d = avroType.getLogicalType.asInstanceOf[CustomDecimal]
-            updater.setDecimal(ordinal, Decimal(value.asInstanceOf[Long], d.precision, d.scale))
-          case _ if !preventReadingIncorrectType => (updater, ordinal, value) =>
-            updater.setLong(ordinal, value.asInstanceOf[Long])
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case FLOAT =>
-        (logicalDataType, catalystType) match {
-          case (_, FloatType) => (updater, ordinal, value) =>
-            updater.setFloat(ordinal, value.asInstanceOf[Float])
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case DOUBLE =>
-        (logicalDataType, catalystType) match {
-          case (_, DoubleType) => (updater, ordinal, value) =>
-            updater.setDouble(ordinal, value.asInstanceOf[Double])
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case STRING =>
-        (logicalDataType, catalystType) match {
-          case (_, StringType) => (updater, ordinal, value) =>
-            val str = value match {
-              case s: String => UTF8String.fromString(s)
-              case s: Utf8 =>
-                val bytes = new Array[Byte](s.getByteLength)
-                System.arraycopy(s.getBytes, 0, bytes, 0, s.getByteLength)
-                UTF8String.fromBytes(bytes)
-            }
-            updater.set(ordinal, str)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case ENUM =>
-        (logicalDataType, catalystType) match {
-          case (_, StringType) => (updater, ordinal, value) =>
-            updater.set(ordinal, UTF8String.fromString(value.toString))
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case FIXED =>
-        (logicalDataType, catalystType) match {
-          case (_, BinaryType) => (updater, ordinal, value) =>
-            updater.set(ordinal, value.asInstanceOf[GenericFixed].bytes().clone())
-          case (_, dt: DecimalType) =>
-            val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
-            if (preventReadingIncorrectType &&
-              d.getPrecision - d.getScale > dt.precision - dt.scale) {
-              throw QueryCompilationErrors.avroLowerPrecisionError(toFieldStr(avroPath),
-                toFieldStr(catalystPath), logicalDataType.catalogString,
-                dt.catalogString, confKey.key)
-            }
-            (updater, ordinal, value) =>
-              val bigDecimal =
-                decimalConversions.fromFixed(value.asInstanceOf[GenericFixed], avroType, d)
-              val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
-              updater.setDecimal(ordinal, decimal)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case BYTES =>
-        (logicalDataType, catalystType) match {
-          case (_, BinaryType) => (updater, ordinal, value) =>
-            val bytes = value match {
-              case b: ByteBuffer =>
-                val bytes = new Array[Byte](b.remaining)
-                b.get(bytes)
-                // Do not forget to reset the position
-                b.rewind()
-                bytes
-              case b: Array[Byte] => b
-              case other =>
-                throw new RuntimeException(errorPrefix + s"$other is not a valid avro binary.")
-            }
-            updater.set(ordinal, bytes)
-          case (_, dt: DecimalType) =>
-            val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
-            if (preventReadingIncorrectType &&
-              d.getPrecision - d.getScale > dt.precision - dt.scale) {
-              throw QueryCompilationErrors.avroLowerPrecisionError(toFieldStr(avroPath),
-                toFieldStr(catalystPath), logicalDataType.catalogString,
-                dt.catalogString, confKey.key)
-            }
-            (updater, ordinal, value) =>
-              val bigDecimal = decimalConversions
-                .fromBytes(value.asInstanceOf[ByteBuffer], avroType, d)
-              val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
-              updater.setDecimal(ordinal, decimal)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
+      case (LONG, TimestampNTZType) => avroType.getLogicalType match {
+        // To keep consistent with TimestampType, if the Avro type is Long and it is not
+        // logical type (the `null` case), the value is processed as TimestampNTZ
+        // with millisecond precision.
+        case null | _: LocalTimestampMillis => (updater, ordinal, value) =>
+          val millis = value.asInstanceOf[Long]
+          val micros = DateTimeUtils.millisToMicros(millis)
+          updater.setLong(ordinal, micros)
+        case _: LocalTimestampMicros => (updater, ordinal, value) =>
+          val micros = value.asInstanceOf[Long]
+          updater.setLong(ordinal, micros)
+        case other => throw new IncompatibleSchemaException(errorPrefix +
+          s"Avro logical type $other cannot be converted to SQL type ${TimestampNTZType.sql}.")
+      }
+
+      // Before we upgrade Avro to 1.8 for logical type support, spark-avro converts Long to Date.
+      // For backward compatibility, we still keep this conversion.
+      case (LONG, DateType) => (updater, ordinal, value) =>
+        updater.setInt(ordinal, (value.asInstanceOf[Long] / MILLIS_PER_DAY).toInt)
+
+      case (FLOAT, FloatType) => (updater, ordinal, value) =>
+        updater.setFloat(ordinal, value.asInstanceOf[Float])
+
+      case (DOUBLE, DoubleType) => (updater, ordinal, value) =>
+        updater.setDouble(ordinal, value.asInstanceOf[Double])
+
+      case (STRING, StringType) => (updater, ordinal, value) =>
+        val str = value match {
+          case s: String => UTF8String.fromString(s)
+          case s: Utf8 =>
+            val bytes = new Array[Byte](s.getByteLength)
+            System.arraycopy(s.getBytes, 0, bytes, 0, s.getByteLength)
+            UTF8String.fromBytes(bytes)
         }
-      case RECORD =>
-        (logicalDataType, catalystType) match {
-          case (_, st: StructType) =>
-            // Avro datasource doesn't accept filters with nested attributes. See SPARK-32328.
-            // We can always return `false` from `applyFilters` for nested records.
-            val writeRecord =
-              getRecordWriter(avroType, st, avroPath, catalystPath, applyFilters = _ => false)
-            (updater, ordinal, value) =>
-              val row = new SpecificInternalRow(st)
-              writeRecord(new RowUpdater(row), value.asInstanceOf[GenericRecord])
-              updater.set(ordinal, row)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
+        updater.set(ordinal, str)
+
+      case (ENUM, StringType) => (updater, ordinal, value) =>
+        updater.set(ordinal, UTF8String.fromString(value.toString))
+
+      case (FIXED, BinaryType) => (updater, ordinal, value) =>
+        updater.set(ordinal, value.asInstanceOf[GenericFixed].bytes().clone())
+
+      case (BYTES, BinaryType) => (updater, ordinal, value) =>
+        val bytes = value match {
+          case b: ByteBuffer =>
+            val bytes = new Array[Byte](b.remaining)
+            b.get(bytes)
+            // Do not forget to reset the position
+            b.rewind()
+            bytes
+          case b: Array[Byte] => b
+          case other =>
+            throw new RuntimeException(errorPrefix + s"$other is not a valid avro binary.")
         }
-      case ARRAY =>
-        (logicalDataType, catalystType) match {
-          case (_, ArrayType(elementType, containsNull)) =>
-            val avroElementPath = avroPath :+ "element"
-            val elementWriter = newWriter(avroType.getElementType, elementType,
-              avroElementPath, catalystPath :+ "element")
-            (updater, ordinal, value) =>
-              val collection = value.asInstanceOf[java.util.Collection[Any]]
-              val result = createArrayData(elementType, collection.size())
-              val elementUpdater = new ArrayDataUpdater(result)
-
-              var i = 0
-              val iter = collection.iterator()
-              while (iter.hasNext) {
-                val element = iter.next()
-                if (element == null) {
-                  if (!containsNull) {
-                    throw new RuntimeException(
-                      s"Array value at path ${toFieldStr(avroElementPath)}" +
-                        s" is not allowed to be null")
-                  } else {
-                    elementUpdater.setNullAt(i)
-                  }
-                } else {
-                  elementWriter(elementUpdater, i, element)
-                }
-                i += 1
+        updater.set(ordinal, bytes)
+
+      case (FIXED, _: DecimalType) => (updater, ordinal, value) =>
+        val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
+        val bigDecimal = decimalConversions.fromFixed(value.asInstanceOf[GenericFixed], avroType, d)
+        val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
+        updater.setDecimal(ordinal, decimal)
+
+      case (BYTES, _: DecimalType) => (updater, ordinal, value) =>
+        val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
+        val bigDecimal = decimalConversions.fromBytes(value.asInstanceOf[ByteBuffer], avroType, d)
+        val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
+        updater.setDecimal(ordinal, decimal)
+
+      case (RECORD, st: StructType) =>
+        // Avro datasource doesn't accept filters with nested attributes. See SPARK-32328.
+        // We can always return `false` from `applyFilters` for nested records.
+        val writeRecord =
+          getRecordWriter(avroType, st, avroPath, catalystPath, applyFilters = _ => false)
+        (updater, ordinal, value) =>
+          val row = new SpecificInternalRow(st)
+          writeRecord(new RowUpdater(row), value.asInstanceOf[GenericRecord])
+          updater.set(ordinal, row)
+
+      case (ARRAY, ArrayType(elementType, containsNull)) =>
+        val avroElementPath = avroPath :+ "element"
+        val elementWriter = newWriter(avroType.getElementType, elementType,
+          avroElementPath, catalystPath :+ "element")
+        (updater, ordinal, value) =>
+          val collection = value.asInstanceOf[java.util.Collection[Any]]
+          val result = createArrayData(elementType, collection.size())
+          val elementUpdater = new ArrayDataUpdater(result)
+
+          var i = 0
+          val iter = collection.iterator()
+          while (iter.hasNext) {
+            val element = iter.next()
+            if (element == null) {
+              if (!containsNull) {
+                throw new RuntimeException(
+                  s"Array value at path ${toFieldStr(avroElementPath)} is not allowed to be null")
+              } else {
+                elementUpdater.setNullAt(i)
               }
-              updater.set(ordinal, result)
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case MAP =>
-        (logicalDataType, catalystType) match {
-          case (_, MapType(keyType, valueType, valueContainsNull))
-            if keyType == StringType =>
-            val keyWriter = newWriter(SchemaBuilder.builder().stringType(), StringType,
-              avroPath :+ "key", catalystPath :+ "key")
-            val valueWriter = newWriter(avroType.getValueType, valueType,
-              avroPath :+ "value", catalystPath :+ "value")
-            (updater, ordinal, value) =>
-              val map = value.asInstanceOf[java.util.Map[AnyRef, AnyRef]]
-              val keyArray = createArrayData(keyType, map.size())
-              val keyUpdater = new ArrayDataUpdater(keyArray)
-              val valueArray = createArrayData(valueType, map.size())
-              val valueUpdater = new ArrayDataUpdater(valueArray)
-              val iter = map.entrySet().iterator()
-              var i = 0
-              while (iter.hasNext) {
-                val entry = iter.next()
-                assert(entry.getKey != null)
-                keyWriter(keyUpdater, i, entry.getKey)
-                if (entry.getValue == null) {
-                  if (!valueContainsNull) {
-                    throw new RuntimeException(
-                      s"Map value at path ${toFieldStr(avroPath :+ "value")}" +
-                        s" is not allowed to be null")
-                  } else {
-                    valueUpdater.setNullAt(i)
-                  }
-                } else {
-                  valueWriter(valueUpdater, i, entry.getValue)
-                }
-                i += 1
+            } else {
+              elementWriter(elementUpdater, i, element)
+            }
+            i += 1
+          }
+
+          updater.set(ordinal, result)
+
+      case (MAP, MapType(keyType, valueType, valueContainsNull)) if keyType == StringType =>
+        val keyWriter = newWriter(SchemaBuilder.builder().stringType(), StringType,
+          avroPath :+ "key", catalystPath :+ "key")
+        val valueWriter = newWriter(avroType.getValueType, valueType,
+          avroPath :+ "value", catalystPath :+ "value")
+        (updater, ordinal, value) =>
+          val map = value.asInstanceOf[java.util.Map[AnyRef, AnyRef]]
+          val keyArray = createArrayData(keyType, map.size())
+          val keyUpdater = new ArrayDataUpdater(keyArray)
+          val valueArray = createArrayData(valueType, map.size())
+          val valueUpdater = new ArrayDataUpdater(valueArray)
+          val iter = map.entrySet().iterator()
+          var i = 0
+          while (iter.hasNext) {
+            val entry = iter.next()
+            assert(entry.getKey != null)
+            keyWriter(keyUpdater, i, entry.getKey)
+            if (entry.getValue == null) {
+              if (!valueContainsNull) {
+                throw new RuntimeException(
+                  s"Map value at path ${toFieldStr(avroPath :+ "value")} is not allowed to be null")
+              } else {
+                valueUpdater.setNullAt(i)
               }
-              // The Avro map will never have null or duplicated map keys, it's safe to create a
-              // ArrayBasedMapData directly here.
-              updater.set(ordinal, new ArrayBasedMapData(keyArray, valueArray))
-          case _ => throw new IncompatibleSchemaException(incompatibleMsg)
-        }
-      case UNION =>
+            } else {
+              valueWriter(valueUpdater, i, entry.getValue)
+            }
+            i += 1
+          }
+
+          // The Avro map will never have null or duplicated map keys, it's safe to create a
+          // ArrayBasedMapData directly here.
+          updater.set(ordinal, new ArrayBasedMapData(keyArray, valueArray))
+
+      case (UNION, _) =>
         val nonNullTypes = nonNullUnionBranches(avroType)
         val nonNullAvroType = Schema.createUnion(nonNullTypes.asJava)
         if (nonNullTypes.nonEmpty) {
@@ -388,18 +297,20 @@ private[sql] class AvroDeserializer(
           } else {
             nonNullTypes.map(_.getType).toSeq match {
               case Seq(a, b) if Set(a, b) == Set(INT, LONG) && catalystType == LongType =>
-                (updater, ordinal, value) => value match {
-                  case null => updater.setNullAt(ordinal)
-                  case l: java.lang.Long => updater.setLong(ordinal, l)
-                  case i: java.lang.Integer => updater.setLong(ordinal, i.longValue())
-                }
+                (updater, ordinal, value) =>
+                  value match {
+                    case null => updater.setNullAt(ordinal)
+                    case l: java.lang.Long => updater.setLong(ordinal, l)
+                    case i: java.lang.Integer => updater.setLong(ordinal, i.longValue())
+                  }
 
               case Seq(a, b) if Set(a, b) == Set(FLOAT, DOUBLE) && catalystType == DoubleType =>
-                (updater, ordinal, value) => value match {
-                  case null => updater.setNullAt(ordinal)
-                  case d: java.lang.Double => updater.setDouble(ordinal, d)
-                  case f: java.lang.Float => updater.setDouble(ordinal, f.doubleValue())
-                }
+                (updater, ordinal, value) =>
+                  value match {
+                    case null => updater.setNullAt(ordinal)
+                    case d: java.lang.Double => updater.setDouble(ordinal, d)
+                    case f: java.lang.Float => updater.setDouble(ordinal, f.doubleValue())
+                  }
 
               case _ =>
                 catalystType match {
@@ -423,6 +334,17 @@ private[sql] class AvroDeserializer(
         } else {
           (updater, ordinal, _) => updater.setNullAt(ordinal)
         }
+
+      case (INT, _: YearMonthIntervalType) => (updater, ordinal, value) =>
+        updater.setInt(ordinal, value.asInstanceOf[Int])
+
+      case (LONG, _: DayTimeIntervalType) => (updater, ordinal, value) =>
+        updater.setLong(ordinal, value.asInstanceOf[Long])
+
+      case (LONG, _: DecimalType) => (updater, ordinal, value) =>
+        val d = avroType.getLogicalType.asInstanceOf[CustomDecimal]
+        updater.setDecimal(ordinal, Decimal(value.asInstanceOf[Long], d.precision, d.scale))
+
       case _ => throw new IncompatibleSchemaException(incompatibleMsg)
     }
   }
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
index 516c173c1184e..d22a2d3697579 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
@@ -32,7 +32,6 @@ import org.apache.avro.file.{DataFileReader, DataFileWriter}
 import org.apache.avro.generic.{GenericData, GenericDatumReader, GenericDatumWriter, GenericRecord}
 import org.apache.avro.generic.GenericData.{EnumSymbol, Fixed}
 import org.apache.commons.io.FileUtils
-import org.apache.commons.lang3.exception.ExceptionUtils
 
 import org.apache.spark.{SPARK_VERSION_SHORT, SparkConf, SparkException, SparkUpgradeException}
 import org.apache.spark.TestUtils.assertExceptionMsg
@@ -815,166 +814,6 @@ abstract class AvroSuite
     }
   }
 
-  test("SPARK-43380: Fix Avro data type conversion" +
-      " of decimal type to avoid producing incorrect results") {
-    withTempPath { path =>
-      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
-      sql("SELECT 13.1234567890 a").write.format("avro").save(path.toString)
-      // With the flag disabled, we will throw an exception if there is a mismatch
-      withSQLConf(confKey -> "false") {
-        val e = intercept[SparkException] {
-          spark.read.schema("a DECIMAL(4, 3)").format("avro").load(path.toString).collect()
-        }
-        ExceptionUtils.getRootCause(e) match {
-          case ex: AnalysisException =>
-            checkError(
-              exception = ex,
-              errorClass = "AVRO_LOWER_PRECISION",
-              parameters = Map("avroPath" -> "field 'a'",
-                "sqlPath" -> "field 'a'",
-                "avroType" -> "decimal\\(12,10\\)",
-                "sqlType" -> "\"DECIMAL\\(4,3\\)\"",
-                "key" -> SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key),
-              matchPVals = true
-            )
-          case other =>
-            fail(s"Received unexpected exception", other)
-        }
-      }
-      // The following used to work, so it should still work with the flag enabled
-      checkAnswer(
-        spark.read.schema("a DECIMAL(5, 3)").format("avro").load(path.toString),
-        Row(new java.math.BigDecimal("13.123"))
-      )
-      withSQLConf(confKey -> "true") {
-        // With the flag enabled, we return a null silently, which isn't great
-        checkAnswer(
-          spark.read.schema("a DECIMAL(4, 3)").format("avro").load(path.toString),
-          Row(null)
-        )
-        checkAnswer(
-          spark.read.schema("a DECIMAL(5, 3)").format("avro").load(path.toString),
-          Row(new java.math.BigDecimal("13.123"))
-        )
-      }
-    }
-  }
-
-  test("SPARK-43380: Fix Avro data type conversion" +
-    " of DayTimeIntervalType to avoid producing incorrect results") {
-    withTempPath { path =>
-      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
-      val schema = StructType(Array(StructField("a", DayTimeIntervalType(), false)))
-      val data = Seq(Row(java.time.Duration.ofDays(1).plusSeconds(1)))
-
-      val df = spark.createDataFrame(sparkContext.parallelize(data), schema)
-      df.write.format("avro").save(path.getCanonicalPath)
-
-      withSQLConf(confKey -> "false") {
-        Seq("DATE", "TIMESTAMP", "TIMESTAMP_NTZ").foreach { sqlType =>
-          val e = intercept[SparkException] {
-            spark.read.schema(s"a $sqlType").format("avro").load(path.toString).collect()
-          }
-
-          ExceptionUtils.getRootCause(e) match {
-            case ex: AnalysisException =>
-              checkError(
-                exception = ex,
-                errorClass = "AVRO_INCORRECT_TYPE",
-                parameters = Map("avroPath" -> "field 'a'",
-                  "sqlPath" -> "field 'a'",
-                  "avroType" -> "interval day to second",
-                  "sqlType" -> s""""$sqlType"""",
-                  "key" -> SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key),
-                matchPVals = true
-              )
-            case other =>
-              fail(s"Received unexpected exception", other)
-          }
-        }
-      }
-
-      withSQLConf(confKey -> "true") {
-        // Allow conversion and do not need to check result
-        spark.read.schema("a Date").format("avro").load(path.toString)
-        spark.read.schema("a timestamp").format("avro").load(path.toString)
-        spark.read.schema("a timestamp_ntz").format("avro").load(path.toString)
-      }
-    }
-  }
-
-  test("SPARK-43380: Fix Avro data type conversion" +
-    " of YearMonthIntervalType to avoid producing incorrect results") {
-    withTempPath { path =>
-      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
-      val schema = StructType(Array(StructField("a", YearMonthIntervalType(), false)))
-      val data = Seq(Row(java.time.Period.of(1, 1, 0)))
-
-      val df = spark.createDataFrame(sparkContext.parallelize(data), schema)
-      df.write.format("avro").save(path.getCanonicalPath)
-
-      withSQLConf(confKey -> "false") {
-        Seq("DATE", "TIMESTAMP", "TIMESTAMP_NTZ").foreach { sqlType =>
-          val e = intercept[SparkException] {
-            spark.read.schema(s"a $sqlType").format("avro").load(path.toString).collect()
-          }
-
-          ExceptionUtils.getRootCause(e) match {
-            case ex: AnalysisException =>
-              checkError(
-                exception = ex,
-                errorClass = "AVRO_INCORRECT_TYPE",
-                parameters = Map("avroPath" -> "field 'a'",
-                  "sqlPath" -> "field 'a'",
-                  "avroType" -> "interval year to month",
-                  "sqlType" -> s""""$sqlType"""",
-                  "key" -> SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key),
-                matchPVals = true
-              )
-            case other =>
-              fail(s"Received unexpected exception", other)
-          }
-        }
-      }
-
-      withSQLConf(confKey -> "true") {
-        // Allow conversion and do not need to check result
-        spark.read.schema("a Date").format("avro").load(path.toString)
-        spark.read.schema("a timestamp").format("avro").load(path.toString)
-        spark.read.schema("a timestamp_ntz").format("avro").load(path.toString)
-      }
-    }
-  }
-
-  Seq(
-    "time-millis",
-    "time-micros",
-    "timestamp-micros",
-    "timestamp-millis",
-    "local-timestamp-millis",
-    "local-timestamp-micros"
-  ).foreach { timeLogicalType =>
-    test(s"converting $timeLogicalType type to long in avro") {
-      withTempPath { path =>
-        val df = Seq(100L)
-          .toDF("dt")
-        val avroSchema =
-          s"""
-             |{
-             |  "type" : "record",
-             |  "name" : "test_schema",
-             |  "fields" : [
-             |    {"name": "dt", "type": {"type": "long", "logicalType": "$timeLogicalType"}}
-             |  ]
-             |}""".stripMargin
-        df.write.format("avro").option("avroSchema", avroSchema).save(path.getCanonicalPath)
-        checkAnswer(
-          spark.read.schema(s"dt long").format("avro").load(path.toString),
-          Row(100L))
-      }
-    }
-  }
-
   test("converting some specific sparkSQL types to avro") {
     withTempPath { tempDir =>
       val testSchema = StructType(Seq(
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index e1430e94db567..e7df1aa9a4f9c 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -87,18 +87,6 @@ Invalid as-of join.
 
 For more details see [AS_OF_JOIN](sql-error-conditions-as-of-join-error-class.html)
 
-### AVRO_INCORRECT_TYPE
-
-SQLSTATE: none assigned
-
-Cannot convert Avro `<avroPath>` to SQL `<sqlPath>` because the original encoded data type is `<avroType>`, however you're trying to read the field as `<sqlType>`, which would lead to an incorrect answer. To allow reading this field, enable the SQL configuration: `<key>`.
-
-### AVRO_LOWER_PRECISION
-
-SQLSTATE: none assigned
-
-Cannot convert Avro `<avroPath>` to SQL `<sqlPath>` because the original encoded data type is `<avroType>`, however you're trying to read the field as `<sqlType>`, which leads to data being read as null. Please provide a wider decimal type to get the correct result. To allow reading null to this field, enable the SQL configuration: `<key>`.
-
 ### BATCH_METADATA_NOT_FOUND
 
 [SQLSTATE: 42K03](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
@@ -2064,5 +2052,3 @@ The operation `<operation>` requires a `<requiredType>`. But `<objectName>` is a
 The `<functionName>` requires `<expectedNum>` parameters but the actual number is `<actualNum>`.
 
 For more details see [WRONG_NUM_ARGS](sql-error-conditions-wrong-num-args-error-class.html)
-
-
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 59b125cbc8269..bc5f442220bb8 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -26,7 +26,6 @@ license: |
 
 - Since Spark 3.5, the JDBC options related to DS V2 pushdown are `true` by default. These options include: `pushDownAggregate`, `pushDownLimit`, `pushDownOffset` and `pushDownTableSample`. To restore the legacy behavior, please set them to `false`. e.g. set `spark.sql.catalog.your_catalog_name.pushDownAggregate` to `false`.
 - Since Spark 3.5, Spark thrift server will interrupt task when canceling a running statement. To restore the previous behavior, set `spark.sql.thriftServer.interruptOnCancel` to `false`.
-- Since Spark 3.5, the Avro will throw `AnalysisException` when reading Interval types as Date or Timestamp types, or reading Decimal types with lower precision. To restore the legacy behavior, set `spark.sql.legacy.avro.allowIncompatibleSchema` to `true`
 - Since Spark 3.5, Row's json and prettyJson methods are moved to `ToJsonUtil`.
 - Since Spark 3.5, the `plan` field is moved from `AnalysisException` to `EnhancedAnalysisException`.
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 91548917b2f62..1383827a82b3d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -3661,36 +3661,6 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
     )
   }
 
-  def avroIncorrectTypeError(
-      avroPath: String, sqlPath: String, avroType: String,
-      sqlType: String, key: String): Throwable = {
-    new AnalysisException(
-      errorClass = "AVRO_INCORRECT_TYPE",
-      messageParameters = Map(
-        "avroPath" -> avroPath,
-        "sqlPath" -> sqlPath,
-        "avroType" -> avroType,
-        "sqlType" -> toSQLType(sqlType),
-        "key" -> key
-      )
-    )
-  }
-
-  def avroLowerPrecisionError(
-      avroPath: String, sqlPath: String, avroType: String,
-      sqlType: String, key: String): Throwable = {
-    new AnalysisException(
-      errorClass = "AVRO_LOWER_PRECISION",
-      messageParameters = Map(
-        "avroPath" -> avroPath,
-        "sqlPath" -> sqlPath,
-        "avroType" -> avroType,
-        "sqlType" -> toSQLType(sqlType),
-        "key" -> key
-      )
-    )
-  }
-
   def optionMustBeLiteralString(key: String): Throwable = {
     new AnalysisException(
       errorClass = "INVALID_SQL_SYNTAX.OPTION_IS_INVALID",
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 9197d99b005de..ef77a22e63259 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4251,18 +4251,6 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
-  val LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA =
-    buildConf("spark.sql.legacy.avro.allowIncompatibleSchema")
-      .internal()
-      .doc("When set to false, if types in Avro are encoded in the same format, but " +
-        "the type in the Avro schema explicitly says that the data types are different, " +
-        "reject reading the data type in the format to avoid returning incorrect results. " +
-        "When set to true, it restores the legacy behavior of allow reading the data in the" +
-        " format, which may return incorrect results.")
-      .version("3.5.0")
-      .booleanConf
-      .createWithDefault(false)
-
   val LEGACY_NON_IDENTIFIER_OUTPUT_CATALOG_NAME =
     buildConf("spark.sql.legacy.v1IdentifierNoCatalog")
       .internal()

From 4fd5e770209ee4eb1c3eb5c0210588362cb53966 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 15 Aug 2023 10:55:57 +0800
Subject: [PATCH 235/986] [SPARK-43885][SQL][FOLLOWUP] Instruction#dataType
 should not fail

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41448 . As an optimizer rule, the produced plan should be resolved and resolved expressions should be able to report data type. The `Instruction` expression fails to report data type and may break external optimizer rules. This PR makes it to return dummy NullType.

### Why are the changes needed?

to not break external optimizer rules.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

Closes #42482 from cloud-fan/merge.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit c9ff70253999bf396b07eec84a3a86ca3191efa3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/catalyst/plans/logical/MergeRows.scala      | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/MergeRows.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/MergeRows.scala
index e8888cca7582d..9b1c8bc733a35 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/MergeRows.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/MergeRows.scala
@@ -21,7 +21,7 @@ import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeSet, Expre
 import org.apache.spark.sql.catalyst.plans.logical.MergeRows.{Instruction, ROW_ID}
 import org.apache.spark.sql.catalyst.trees.UnaryLike
 import org.apache.spark.sql.catalyst.util.truncatedString
-import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.{DataType, NullType}
 
 case class MergeRows(
     isSourceRowPresent: Expression,
@@ -74,7 +74,11 @@ object MergeRows {
     def condition: Expression
     def outputs: Seq[Seq[Expression]]
     override def nullable: Boolean = false
-    override def dataType: DataType = throw new UnsupportedOperationException("dataType")
+    // We return NullType here as only the `MergeRows` operator can contain `Instruction`
+    // expressions and it doesn't care about the data type. Some external optimizer rules may
+    // assume optimized plan is always resolved and Expression#dataType is always available, so
+    // we can't just fail here.
+    override def dataType: DataType = NullType
   }
 
   case class Keep(condition: Expression, output: Seq[Expression]) extends Instruction {

From e12a79b6ebe0bd5ef9220e0e0979d6579638f3ae Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Tue, 15 Aug 2023 11:42:23 +0800
Subject: [PATCH 236/986] [SPARK-44719][SQL][3.5] Fix NoClassDefFoundError when
 using Hive UDF

### What changes were proposed in this pull request?

This PR partially reverts SPARK-43225. Added jackson-core-asl and jackson-mapper-asl back to pre-built distributions.

### Why are the changes needed?

Fix `NoClassDefFoundError` when using Hive UDF:
```
spark-sql (default)> add jar /Users/yumwang/Downloads/HiveUDFs-1.0-SNAPSHOT.jar;
Time taken: 0.413 seconds
spark-sql (default)> CREATE TEMPORARY FUNCTION long_to_ip as 'net.petrabarus.hiveudfs.LongToIP';
Time taken: 0.038 seconds
spark-sql (default)> SELECT long_to_ip(2130706433L) FROM range(10);
23/08/08 20:17:58 ERROR SparkSQLDriver: Failed in [SELECT long_to_ip(2130706433L) FROM range(10)]
java.lang.NoClassDefFoundError: org/codehaus/jackson/map/type/TypeFactory
	at org.apache.hadoop.hive.ql.udf.UDFJson.<clinit>(UDFJson.java:64)
	at java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:348)
...
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

manual test.

Closes #42447 from wangyum/SPARK-44719-branch-3.5.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 core/pom.xml                          |  8 ++++++++
 dev/deps/spark-deps-hadoop-3-hive-2.3 |  2 ++
 pom.xml                               | 13 +++++++++++--
 sql/hive-thriftserver/pom.xml         |  9 ---------
 4 files changed, 21 insertions(+), 11 deletions(-)

diff --git a/core/pom.xml b/core/pom.xml
index 674005c96eeab..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -481,6 +481,14 @@
           <groupId>commons-logging</groupId>
           <artifactId>commons-logging</artifactId>
         </exclusion>
+        <exclusion>
+          <groupId>org.codehaus.jackson</groupId>
+          <artifactId>jackson-mapper-asl</artifactId>
+        </exclusion>
+        <exclusion>
+          <groupId>org.codehaus.jackson</groupId>
+          <artifactId>jackson-core-asl</artifactId>
+        </exclusion>
         <exclusion>
           <groupId>com.fasterxml.jackson.core</groupId>
           <artifactId>jackson-core</artifactId>
diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index d182f39f88242..14af8ea340fe7 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -100,11 +100,13 @@ ini4j/0.5.4//ini4j-0.5.4.jar
 istack-commons-runtime/3.0.8//istack-commons-runtime-3.0.8.jar
 ivy/2.5.1//ivy-2.5.1.jar
 jackson-annotations/2.15.2//jackson-annotations-2.15.2.jar
+jackson-core-asl/1.9.13//jackson-core-asl-1.9.13.jar
 jackson-core/2.15.2//jackson-core-2.15.2.jar
 jackson-databind/2.15.2//jackson-databind-2.15.2.jar
 jackson-dataformat-cbor/2.15.2//jackson-dataformat-cbor-2.15.2.jar
 jackson-dataformat-yaml/2.15.2//jackson-dataformat-yaml-2.15.2.jar
 jackson-datatype-jsr310/2.15.2//jackson-datatype-jsr310-2.15.2.jar
+jackson-mapper-asl/1.9.13//jackson-mapper-asl-1.9.13.jar
 jackson-module-scala_2.12/2.15.2//jackson-module-scala_2.12-2.15.2.jar
 jakarta.annotation-api/1.3.5//jakarta.annotation-api-1.3.5.jar
 jakarta.inject/2.6.1//jakarta.inject-2.6.1.jar
diff --git a/pom.xml b/pom.xml
index 9438a112c2460..d0c3bfc361a55 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1321,6 +1321,10 @@
             <groupId>asm</groupId>
             <artifactId>asm</artifactId>
           </exclusion>
+          <exclusion>
+            <groupId>org.codehaus.jackson</groupId>
+            <artifactId>jackson-mapper-asl</artifactId>
+          </exclusion>
           <exclusion>
             <groupId>org.ow2.asm</groupId>
             <artifactId>asm</artifactId>
@@ -1821,12 +1825,17 @@
           </exclusion>
         </exclusions>
       </dependency>
-      <!-- Hive 2.3 need this to init Hive's FunctionRegistry -->
+      <dependency>
+        <groupId>org.codehaus.jackson</groupId>
+        <artifactId>jackson-core-asl</artifactId>
+        <version>${codehaus.jackson.version}</version>
+        <scope>${hadoop.deps.scope}</scope>
+      </dependency>
       <dependency>
         <groupId>org.codehaus.jackson</groupId>
         <artifactId>jackson-mapper-asl</artifactId>
         <version>${codehaus.jackson.version}</version>
-        <scope>test</scope>
+        <scope>${hadoop.deps.scope}</scope>
       </dependency>
       <dependency>
         <groupId>${hive.group}</groupId>
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7bcfb8e1908db..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -147,15 +147,6 @@
       <groupId>org.apache.httpcomponents</groupId>
       <artifactId>httpcore</artifactId>
     </dependency>
-    <!--
-      SPARK-44601: Add this test dependency to ensure that `hive-thriftserver` module
-      can be tested using Maven
-    -->
-    <dependency>
-      <groupId>org.codehaus.jackson</groupId>
-      <artifactId>jackson-mapper-asl</artifactId>
-      <scope>test</scope>
-    </dependency>
   </dependencies>
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>

From 9336a155e0a7321be50580d5fb5351c291209166 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 15 Aug 2023 11:42:25 +0800
Subject: [PATCH 237/986] [SPARK-44796][BUILD][CONNECT] Remove `grpc-java`
 plugin related configuration from the `connect/connect-client-jvm` module

### What changes were proposed in this pull request?
This pr remove `grpc-java` plugin related configuration from the `connect/connect-client-jvm module` for SBT because the code generation related to `grpc-java` is handled by the `connect-common` module. The reason this pr did not touch the Maven `pom.xml` is because the corresponding Maven modules originally did not have that configuration.

### Why are the changes needed?
Clean up unnecessary sbt configurations.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions

Closes #42477 from LuciferYang/SPARK-44796.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit dc5fdb4aa1cd8ae727fc6d9dce434cbd1f0ddafc)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 project/SparkBuild.scala | 19 ++-----------------
 1 file changed, 2 insertions(+), 17 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index bd65d3c4bd4aa..331ebe0c05a3d 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -774,7 +774,6 @@ object SparkConnect {
         SbtPomKeys.effectivePom.value.getProperties.get(
           "guava.failureaccess.version").asInstanceOf[String]
       Seq(
-        "io.grpc" % "protoc-gen-grpc-java" % BuildCommons.gprcVersion asProtocPlugin(),
         "com.google.guava" % "guava" % guavaVersion,
         "com.google.guava" % "failureaccess" % guavaFailureaccessVersion,
         "com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf"
@@ -840,14 +839,7 @@ object SparkConnect {
       case m if m.toLowerCase(Locale.ROOT).endsWith(".proto") => MergeStrategy.discard
       case _ => MergeStrategy.first
     }
-  ) ++ {
-    Seq(
-      (Compile / PB.targets) := Seq(
-        PB.gens.java -> (Compile / sourceManaged).value,
-        PB.gens.plugin("grpc-java") -> (Compile / sourceManaged).value
-      )
-    )
-  }
+  )
 }
 
 object SparkConnectClient {
@@ -924,14 +916,7 @@ object SparkConnectClient {
       case m if m.toLowerCase(Locale.ROOT).endsWith(".proto") => MergeStrategy.discard
       case _ => MergeStrategy.first
     }
-  ) ++ {
-    Seq(
-      (Compile / PB.targets) := Seq(
-        PB.gens.java -> (Compile / sourceManaged).value,
-        PB.gens.plugin("grpc-java") -> (Compile / sourceManaged).value
-      )
-    )
-  }
+  )
 }
 
 object SparkProtobuf {

From 2f764366dbe3ffadd7b735333c77f8e89334ef8a Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 15 Aug 2023 16:22:47 +0800
Subject: [PATCH 238/986] [SPARK-44791][CONNECT][TESTS][FOLLOWUP] Fix test case
 `Collect REPL generated class` for Scala 2.13

### What changes were proposed in this pull request?
This PR refactors the test case `Collect REPL generated class` to ensure that Scala 2.12 and Scala 2.13 use the same results for assertion.

### Why are the changes needed?
Fix `Collect REPL generated class` test failed with Scala 2.13.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Github Actions
- Manually check

```
dev/change-scala-version.sh 2.13
build/sbt clean "connect-client-jvm/testOnly org.apache.spark.sql.application.ReplE2ESuite" -Phive -Pscala-2.13
```

**Before**

```
res53: Array[MyTestClass] = Array(MyTestClass(value = 1), MyTestClass(value = 3))
[info]
[info]

[info]    semaphore.release()

[info]   Error Output: Compiling (synthetic)/ammonite/predef/ArgsPredef.sc
[info]   Compiling /Users/yangjie01/SourceCode/git/spark-mine-sbt/connector/connect/client/jvm/(console) (ReplE2ESuite.scala:111)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.sql.application.ReplE2ESuite.assertContains(ReplE2ESuite.scala:111)
[info]   at org.apache.spark.sql.application.ReplE2ESuite.$anonfun$new$13(ReplE2ESuite.scala:277)
[info]   at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
[info]   at org.apache.spark.sql.connect.client.util.RemoteSparkSession.$anonfun$test$1(RemoteSparkSession.scala:243)
...
[info] Run completed in 37 seconds, 954 milliseconds.
[info] Total number of tests run: 13
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 12, failed 1, canceled 0, ignored 0, pending 0
[info] *** 1 TEST FAILED ***
```

**After**

```
[info] ReplE2ESuite:
[info] - Simple query (4 seconds, 335 milliseconds)
[info] - UDF containing 'def' (1 second, 479 milliseconds)
[info] - UDF containing in-place lambda (828 milliseconds)
[info] - Updating UDF properties (906 milliseconds)
[info] - SPARK-43198: Filter does not throw ammonite-related class initialization exception (1 second, 87 milliseconds)
[info] - Client-side JAR (1 second, 304 milliseconds)
[info] - Java UDF (972 milliseconds)
[info] - Java UDF Registration (986 milliseconds)
[info] - UDF Registration (931 milliseconds)
[info] - UDF closure registration (795 milliseconds)
[info] - call_udf (1 second, 233 milliseconds)
[info] - call_function (892 milliseconds)
[info] - Collect REPL generated class (1 second, 166 milliseconds)
[info] Run completed in 37 seconds, 775 milliseconds.
[info] Total number of tests run: 13
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 13, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
 ```

Closes #42485 from LuciferYang/SPARK-44791-FOLLOWUP.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 6c85ec3160cf64394b962d40bb8d4efbf494e33f)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../apache/spark/sql/application/ReplE2ESuite.scala   | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 0cab66eef3dc5..191fd851482a9 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -265,16 +265,19 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   test("Collect REPL generated class") {
-    val input = """
+    val input =
+      """
         |case class MyTestClass(value: Int)
         |spark.range(4).
         |  filter($"id" % 2 === 1).
         |  select($"id".cast("int").as("value")).
         |  as[MyTestClass].
-        |  collect()
-      """.stripMargin
+        |  collect().
+        |  map(mtc => s"MyTestClass(${mtc.value})").
+        |  mkString("[", ", ", "]")
+          """.stripMargin
     val output = runCommandsInShell(input)
-    assertContains("Array[MyTestClass] = Array(MyTestClass(1), MyTestClass(3))", output)
+    assertContains("""String = "[MyTestClass(1), MyTestClass(3)]"""", output)
   }
 
   test("REPL class in UDF") {

From a51932a5f34c33d65e5d0fdc5552868b1b1cebc4 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 15 Aug 2023 17:32:55 +0800
Subject: [PATCH 239/986] [SPARK-44653][SQL][FOLLOWUP] ResolveUnion should not
 combine Unions

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/42315 , to fix by-name Union as well. Ideally, an analyzer rule should not invoke an optimizer rule, and it's cleaner to keep the df union hack in the df code.

### Why are the changes needed?

fix the regression for by-name Union as well.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

new tests

Closes #42483 from cloud-fan/union.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit a53a9e93bd75a3c08ffb63abe21db0944e6601e9)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../explain-results/unionByName.explain       |  3 ++-
 .../sql/catalyst/analysis/ResolveUnion.scala  |  4 +---
 .../catalyst/analysis/ResolveUnionSuite.scala |  2 +-
 .../scala/org/apache/spark/sql/Dataset.scala  |  6 +++++-
 .../apache/spark/sql/DatasetCacheSuite.scala  | 19 +++++++++++++++++--
 5 files changed, 26 insertions(+), 8 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/unionByName.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/unionByName.explain
index ed960186ad4d8..6ec8eb37f50ed 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/unionByName.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/unionByName.explain
@@ -2,4 +2,5 @@ Union false, false
 :- Project [id#0L, a#0]
 :  +- LocalRelation <empty>, [id#0L, a#0, b#0]
 +- Project [id#0L, a#0]
-   +- LocalRelation <empty>, [a#0, id#0L, payload#0]
+   +- Project [a#0, id#0L]
+      +- LocalRelation <empty>, [a#0, id#0L, payload#0]
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala
index 4aa5c3ebf5a36..7b6edc849b0c1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala
@@ -20,7 +20,6 @@ package org.apache.spark.sql.catalyst.analysis
 import scala.collection.mutable
 
 import org.apache.spark.sql.catalyst.expressions._
-import org.apache.spark.sql.catalyst.optimizer.CombineUnions
 import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project, Union}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.TreePattern.UNION
@@ -207,10 +206,9 @@ object ResolveUnion extends Rule[LogicalPlan] {
     case e if !e.childrenResolved => e
 
     case Union(children, byName, allowMissingCol) if byName =>
-      val union = children.reduceLeft { (left, right) =>
+      children.reduceLeft { (left, right) =>
         checkColumnNames(left, right)
         unionTwoSides(left, right, allowMissingCol)
       }
-      CombineUnions(union)
   }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnionSuite.scala
index 5c7ad0067a456..820b517f257e7 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnionSuite.scala
@@ -69,7 +69,7 @@ class ResolveUnionSuite extends AnalysisTest {
     val nullAttr2 = Alias(Literal(null, DoubleType), "d")()
     val projected3 =
       Project(Seq(table2.output(3), table2.output(0), nullAttr1, nullAttr2), table4)
-    val expected3 = Union(table1 :: projected2 :: projected3 :: Nil)
+    val expected3 = Union(Union(table1 :: projected2 :: Nil) :: projected3 :: Nil)
     comparePlans(analyzed3, expected3)
   }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index eda017937d918..fd8421fa096cc 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -2408,7 +2408,11 @@ class Dataset[T] private[sql](
    * @since 3.1.0
    */
   def unionByName(other: Dataset[T], allowMissingColumns: Boolean): Dataset[T] = withSetOperator {
-    combineUnions(Union(logicalPlan :: other.logicalPlan :: Nil, true, allowMissingColumns))
+    // We need to resolve the by-name Union first, as the underlying Unions are already resolved
+    // and we can only combine adjacent Unions if they are all resolved.
+    val resolvedUnion = sparkSession.sessionState.executePlan(
+      Union(logicalPlan :: other.logicalPlan :: Nil, true, allowMissingColumns))
+    combineUnions(resolvedUnion.analyzed)
   }
 
   /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
index a657c6212aa07..e3f8722806840 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
@@ -279,19 +279,34 @@ class DatasetCacheSuite extends QueryTest
     val df2 = Seq(2 -> 2).toDF("i", "j")
     val df3 = Seq(3 -> 3).toDF("i", "j")
 
-    withClue("positive") {
+    withClue("positive: union by position") {
       val unionDf = df1.union(df2).select($"i")
       unionDf.cache()
       val finalDf = unionDf.union(df3.select($"i"))
       assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
     }
 
-    withClue("negative") {
+    withClue("positive: union by name") {
+      val unionDf = df1.unionByName(df2).select($"i")
+      unionDf.cache()
+      val finalDf = unionDf.unionByName(df3.select($"i"))
+      assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+    }
+
+    withClue("negative: union by position") {
       val unionDf = df1.union(df2)
       unionDf.cache()
       val finalDf = unionDf.union(df3)
       // It's by design to break caching here.
       assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
     }
+
+    withClue("negative: union by name") {
+      val unionDf = df1.unionByName(df2)
+      unionDf.cache()
+      val finalDf = unionDf.unionByName(df3)
+      // It's by design to break caching here.
+      assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+    }
   }
 }

From d3d3cf3c0ddfe0d944c7a63b1064c5718057c465 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 15 Aug 2023 23:47:28 +0800
Subject: [PATCH 240/986] [SPARK-43205][SQL][FOLLOWUP] IDENTIFIER clause should
 accept alias and RuntimeReplaceable

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/41007

Similar to `ResolveInlineTables`, we need to trim aliases and replace `RuntimeReplaceable` expressions before evaluating an expression in `ResolveIdentifierClause`.

### Why are the changes needed?

Make IDENTIFIER support more cases

### Does this PR introduce _any_ user-facing change?

Yes, but IDENTIFIER is not released yet.

### How was this patch tested?

new tests

Closes #42497 from cloud-fan/variable.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 1ae1d89d08a7c3997c65099ebfdb9b5955483bc5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveIdentifierClause.scala    |  6 ++--
 .../analysis/ResolveInlineTables.scala        | 15 ++++-----
 .../sql/catalyst/expressions/EvalHelper.scala | 32 +++++++++++++++++++
 .../sql/catalyst/analysis/AnalysisSuite.scala | 17 ++++++++++
 4 files changed, 59 insertions(+), 11 deletions(-)
 create mode 100644 sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EvalHelper.scala

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
index 2a1e17d390e59..e0d3e5629ef8b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
-import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.catalyst.expressions.{AliasHelper, EvalHelper, Expression}
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
@@ -27,7 +27,7 @@ import org.apache.spark.sql.types.StringType
 /**
  * Resolves the identifier expressions and builds the original plans/expressions.
  */
-object ResolveIdentifierClause extends Rule[LogicalPlan] {
+object ResolveIdentifierClause extends Rule[LogicalPlan] with AliasHelper with EvalHelper {
 
   override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUpWithPruning(
     _.containsAnyPattern(UNRESOLVED_IDENTIFIER)) {
@@ -41,7 +41,7 @@ object ResolveIdentifierClause extends Rule[LogicalPlan] {
   }
 
   private def evalIdentifierExpr(expr: Expression): Seq[String] = {
-    expr match {
+    trimAliases(prepareForEval(expr)) match {
       case e if !e.foldable => expr.failAnalysis(
         errorClass = "NOT_A_CONSTANT_STRING.NOT_CONSTANT",
         messageParameters = Map(
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
index c203f9fa39df8..760ea466b8579 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
@@ -20,8 +20,7 @@ package org.apache.spark.sql.catalyst.analysis
 import scala.util.control.NonFatal
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.expressions.AliasHelper
-import org.apache.spark.sql.catalyst.optimizer.ReplaceExpressions
+import org.apache.spark.sql.catalyst.expressions.{AliasHelper, EvalHelper}
 import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.AlwaysProcess
@@ -32,14 +31,14 @@ import org.apache.spark.sql.types.{StructField, StructType}
 /**
  * An analyzer rule that replaces [[UnresolvedInlineTable]] with [[LocalRelation]].
  */
-object ResolveInlineTables extends Rule[LogicalPlan] with CastSupport with AliasHelper {
+object ResolveInlineTables extends Rule[LogicalPlan]
+  with CastSupport with AliasHelper with EvalHelper {
   override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
     AlwaysProcess.fn, ruleId) {
     case table: UnresolvedInlineTable if table.expressionsResolved =>
       validateInputDimension(table)
-      val newTable = ReplaceExpressions(table).asInstanceOf[UnresolvedInlineTable]
-      validateInputEvaluable(newTable)
-      convert(newTable)
+      validateInputEvaluable(table)
+      convert(table)
   }
 
   /**
@@ -75,7 +74,7 @@ object ResolveInlineTables extends Rule[LogicalPlan] with CastSupport with Alias
     table.rows.foreach { row =>
       row.foreach { e =>
         // Note that nondeterministic expressions are not supported since they are not foldable.
-        if (!e.resolved || !trimAliases(e).foldable) {
+        if (!e.resolved || !trimAliases(prepareForEval(e)).foldable) {
           e.failAnalysis(
             errorClass = "INVALID_INLINE_TABLE.CANNOT_EVALUATE_EXPRESSION_IN_INLINE_TABLE",
             messageParameters = Map("expr" -> toSQLExpr(e)))
@@ -115,7 +114,7 @@ object ResolveInlineTables extends Rule[LogicalPlan] with CastSupport with Alias
           } else {
             cast(e, targetType)
           }
-          castedExpr.eval()
+          prepareForEval(castedExpr).eval()
         } catch {
           case NonFatal(ex) =>
             table.failAnalysis(
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EvalHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EvalHelper.scala
new file mode 100644
index 0000000000000..2818ec3b9bf57
--- /dev/null
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EvalHelper.scala
@@ -0,0 +1,32 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.sql.catalyst.trees.TreePattern.RUNTIME_REPLACEABLE
+
+/**
+ * Helper methods for evaluating expressions.
+ */
+trait EvalHelper {
+
+  def prepareForEval(e: Expression): Expression = {
+    e.transformWithPruning(_.containsAnyPattern(RUNTIME_REPLACEABLE)) {
+      case r: RuntimeReplaceable => r.replacement
+    }
+  }
+}
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 2bb3439da0160..06c3e3eb0405a 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1650,4 +1650,21 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       plan.join(plan).analyze
     }
   }
+
+  test("IDENTIFIER with alias and RuntimeReplaceable") {
+    val name = Literal("a").as("name")
+    val replaceable = new Nvl(Literal("a"), Literal("b"))
+    withClue("IDENTIFIER as column") {
+      val ident = ExpressionWithUnresolvedIdentifier(name, UnresolvedAttribute.apply)
+      checkAnalysis(testRelation.select(ident), testRelation.select($"a").analyze)
+      val ident2 = ExpressionWithUnresolvedIdentifier(replaceable, UnresolvedAttribute.apply)
+      checkAnalysis(testRelation.select(ident2), testRelation.select($"a").analyze)
+    }
+    withClue("IDENTIFIER as table") {
+      val ident = PlanWithUnresolvedIdentifier(name, _ => testRelation)
+      checkAnalysis(ident.select($"a"), testRelation.select($"a").analyze)
+      val ident2 = PlanWithUnresolvedIdentifier(replaceable, _ => testRelation)
+      checkAnalysis(ident2.select($"a"), testRelation.select($"a").analyze)
+    }
+  }
 }

From 78a6b46b5f87f7a4b86e1d2ce010069a9027bdf9 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 15 Aug 2023 19:02:31 +0200
Subject: [PATCH 241/986] [SPARK-44794][CONNECT] Make Streaming Queries work
 with Connect's artifact management

### What changes were proposed in this pull request?
When you try to run a streaming query that contains a UDF from the REPL, for example:
```scala
val add1 = udf((i: Long) => i + 1)
val query = spark.readStream
    .format("rate")
    .option("rowsPerSecond", "10")
    .option("numPartitions", "1")
    .load()
    .withColumn("value", add1($"value"))
    .writeStream
    .format("memory")
    .queryName("my_sink")
    .start()
```
You are currently greeted by a hard to understand deserialization issue, where a serialization proxy cannot be assigned to a field. The underlying cause here is a `ClassNotFoundException` (yes, java serialization is weird). This  `ClassNotFoundException`  is caused by us not propagating the `JobArtifactState` (this - indirectly - contains information about the location of REPL generated classes, and session local libraries) properly to the streaming query execution thread.

This PR fixed this by propagating the `JobArtifactState` into the stream execution thread.

### Why are the changes needed?
It is a bug. We want streaming to work with connect's isolated dependencies.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
I added a test to `ReplE2ESuite`.

Closes #42476 from hvanhovell/SPARK-44794.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 2ab404ff179ae04e86d4441fa8c28c08f95e0d0f)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/application/ReplE2ESuite.scala  | 28 +++++++++++++++++++
 .../execution/streaming/StreamExecution.scala |  9 ++++--
 2 files changed, 35 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 191fd851482a9..13ca5caf0af13 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -288,4 +288,32 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     val output = runCommandsInShell(input)
     assertContains("Array[MyTestClass] = Array(MyTestClass(0), MyTestClass(1))", output)
   }
+
+  test("streaming works with REPL generated code") {
+    val input =
+      """
+        |val add1 = udf((i: Long) => i + 1)
+        |val query = {
+        |  spark.readStream
+        |      .format("rate")
+        |      .option("rowsPerSecond", "10")
+        |      .option("numPartitions", "1")
+        |      .load()
+        |      .withColumn("value", add1($"value"))
+        |      .writeStream
+        |      .format("memory")
+        |      .queryName("my_sink")
+        |      .start()
+        |}
+        |var progress = query.lastProgress
+        |while (query.isActive && (progress == null || progress.numInputRows == 0)) {
+        |  query.awaitTermination(100)
+        |  progress = query.lastProgress
+        |}
+        |val noException = query.exception.isEmpty
+        |query.stop()
+        |""".stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("noException: Boolean = true", output)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
index 88fb28f0da4db..936de41af76ff 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
@@ -31,7 +31,7 @@ import scala.util.control.NonFatal
 import com.google.common.util.concurrent.UncheckedExecutionException
 import org.apache.hadoop.fs.Path
 
-import org.apache.spark.{SparkContext, SparkException, SparkThrowable}
+import org.apache.spark.{JobArtifactSet, SparkContext, SparkException, SparkThrowable}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
@@ -186,6 +186,9 @@ abstract class StreamExecution(
   /* Get the call site in the caller thread; will pass this into the micro batch thread */
   private val callSite = Utils.getCallSite()
 
+  /* Make sure we propagate the ArtifactSet to the micro batch thread. */
+  private val jobArtifactState = JobArtifactSet.getCurrentJobArtifactState.orNull
+
   /** Used to report metrics to coda-hale. This uses id for easier tracking across restarts. */
   lazy val streamMetrics = new MetricsReporter(
     this, s"spark.streaming.${Option(name).getOrElse(id)}")
@@ -204,7 +207,9 @@ abstract class StreamExecution(
         // To fix call site like "run at <unknown>:0", we bridge the call site from the caller
         // thread to this micro batch thread
         sparkSession.sparkContext.setCallSite(callSite)
-        runStream()
+        JobArtifactSet.withActiveJobArtifactState(jobArtifactState) {
+          runStream()
+        }
       }
     }
 

From a4bd7583ce6d680f0091519007e48894d594b9f6 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 15 Aug 2023 19:12:03 +0200
Subject: [PATCH 242/986] [SPARK-42664][CONNECT] Support `bloomFilter` function
 for `DataFrameStatFunctions`

### What changes were proposed in this pull request?
This is pr using `BloomFilterAggregate` to implement `bloomFilter` function for `DataFrameStatFunctions`.

### Why are the changes needed?
Add Spark connect jvm client api coverage.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

- Add new test
- Manually check Scala 2.13

Closes #42414 from LuciferYang/SPARK-42664-backup.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit b9f11143d058ad05dcda2138133471c9500c8b92)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../apache/spark/util/sketch/BloomFilter.java |  4 +-
 .../spark/sql/DataFrameStatFunctions.scala    | 88 ++++++++++++++++++-
 .../spark/sql/ClientDataFrameStatSuite.scala  | 87 ++++++++++++++++++
 .../CheckConnectJvmClientCompatibility.scala  |  3 -
 .../connect/planner/SparkConnectPlanner.scala | 31 +++++++
 .../aggregate/BloomFilterAggregate.scala      | 43 ++++++++-
 6 files changed, 248 insertions(+), 8 deletions(-)

diff --git a/common/sketch/src/main/java/org/apache/spark/util/sketch/BloomFilter.java b/common/sketch/src/main/java/org/apache/spark/util/sketch/BloomFilter.java
index 5c01841e5015a..f3c2b05e7af9d 100644
--- a/common/sketch/src/main/java/org/apache/spark/util/sketch/BloomFilter.java
+++ b/common/sketch/src/main/java/org/apache/spark/util/sketch/BloomFilter.java
@@ -199,9 +199,9 @@ private static int optimalNumOfHashFunctions(long n, long m) {
    * See http://en.wikipedia.org/wiki/Bloom_filter#Probability_of_false_positives for the formula.
    *
    * @param n expected insertions (must be positive)
-   * @param p false positive rate (must be 0 < p < 1)
+   * @param p false positive rate (must be 0 &lt; p &lt; 1)
    */
-  private static long optimalNumOfBits(long n, double p) {
+  public static long optimalNumOfBits(long n, double p) {
     return (long) (-n * Math.log(p) / (Math.log(2) * Math.log(2)));
   }
 
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
index 0d4372b8738ee..4d35b4e876795 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
@@ -18,14 +18,16 @@
 package org.apache.spark.sql
 
 import java.{lang => jl, util => ju}
+import java.io.ByteArrayInputStream
 
 import scala.collection.JavaConverters._
 
+import org.apache.spark.SparkException
 import org.apache.spark.connect.proto.{Relation, StatSampleBy}
 import org.apache.spark.sql.DataFrameStatFunctions.approxQuantileResultEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{ArrayEncoder, BinaryEncoder, PrimitiveDoubleEncoder}
 import org.apache.spark.sql.functions.lit
-import org.apache.spark.util.sketch.CountMinSketch
+import org.apache.spark.util.sketch.{BloomFilter, CountMinSketch}
 
 /**
  * Statistic functions for `DataFrame`s.
@@ -584,6 +586,90 @@ final class DataFrameStatFunctions private[sql] (sparkSession: SparkSession, roo
     }
     CountMinSketch.readFrom(ds.head())
   }
+
+  /**
+   * Builds a Bloom filter over a specified column.
+   *
+   * @param colName
+   *   name of the column over which the filter is built
+   * @param expectedNumItems
+   *   expected number of items which will be put into the filter.
+   * @param fpp
+   *   expected false positive probability of the filter.
+   * @since 3.5.0
+   */
+  def bloomFilter(colName: String, expectedNumItems: Long, fpp: Double): BloomFilter = {
+    buildBloomFilter(Column(colName), expectedNumItems, -1L, fpp)
+  }
+
+  /**
+   * Builds a Bloom filter over a specified column.
+   *
+   * @param col
+   *   the column over which the filter is built
+   * @param expectedNumItems
+   *   expected number of items which will be put into the filter.
+   * @param fpp
+   *   expected false positive probability of the filter.
+   * @since 3.5.0
+   */
+  def bloomFilter(col: Column, expectedNumItems: Long, fpp: Double): BloomFilter = {
+    buildBloomFilter(col, expectedNumItems, -1L, fpp)
+  }
+
+  /**
+   * Builds a Bloom filter over a specified column.
+   *
+   * @param colName
+   *   name of the column over which the filter is built
+   * @param expectedNumItems
+   *   expected number of items which will be put into the filter.
+   * @param numBits
+   *   expected number of bits of the filter.
+   * @since 3.5.0
+   */
+  def bloomFilter(colName: String, expectedNumItems: Long, numBits: Long): BloomFilter = {
+    buildBloomFilter(Column(colName), expectedNumItems, numBits, Double.NaN)
+  }
+
+  /**
+   * Builds a Bloom filter over a specified column.
+   *
+   * @param col
+   *   the column over which the filter is built
+   * @param expectedNumItems
+   *   expected number of items which will be put into the filter.
+   * @param numBits
+   *   expected number of bits of the filter.
+   * @since 3.5.0
+   */
+  def bloomFilter(col: Column, expectedNumItems: Long, numBits: Long): BloomFilter = {
+    buildBloomFilter(col, expectedNumItems, numBits, Double.NaN)
+  }
+
+  private def buildBloomFilter(
+      col: Column,
+      expectedNumItems: Long,
+      numBits: Long,
+      fpp: Double): BloomFilter = {
+    def numBitsValue: Long = if (!fpp.isNaN) {
+      BloomFilter.optimalNumOfBits(expectedNumItems, fpp)
+    } else {
+      numBits
+    }
+
+    if (fpp <= 0d || fpp >= 1d) {
+      throw new SparkException("False positive probability must be within range (0.0, 1.0)")
+    }
+    val agg = Column.fn("bloom_filter_agg", col, lit(expectedNumItems), lit(numBitsValue))
+
+    val ds = sparkSession.newDataset(BinaryEncoder) { builder =>
+      builder.getProjectBuilder
+        .setInput(root)
+        .addExpressions(agg.expr)
+    }
+    BloomFilter.readFrom(new ByteArrayInputStream(ds.head()))
+  }
 }
 
 private object DataFrameStatFunctions {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
index 62ff21332f105..7035dc99148e2 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
@@ -176,4 +176,91 @@ class ClientDataFrameStatSuite extends RemoteSparkSession {
     assert(sketch.relativeError() === 0.001)
     assert(sketch.confidence() === 0.99 +- 5e-3)
   }
+
+  test("Bloom filter -- Long Column") {
+    val session = spark
+    import session.implicits._
+    val data = Seq(-143, -32, -5, 1, 17, 39, 43, 101, 127, 997).map(_.toLong)
+    val df = data.toDF("id")
+    val negativeValues = Seq(-11, 1021, 32767).map(_.toLong)
+    checkBloomFilter(data, negativeValues, df)
+  }
+
+  test("Bloom filter -- Int Column") {
+    val session = spark
+    import session.implicits._
+    val data = Seq(-143, -32, -5, 1, 17, 39, 43, 101, 127, 997)
+    val df = data.toDF("id")
+    val negativeValues = Seq(-11, 1021, 32767)
+    checkBloomFilter(data, negativeValues, df)
+  }
+
+  test("Bloom filter -- Short Column") {
+    val session = spark
+    import session.implicits._
+    val data = Seq(-143, -32, -5, 1, 17, 39, 43, 101, 127, 997).map(_.toShort)
+    val df = data.toDF("id")
+    val negativeValues = Seq(-11, 1021, 32767).map(_.toShort)
+    checkBloomFilter(data, negativeValues, df)
+  }
+
+  test("Bloom filter -- Byte Column") {
+    val session = spark
+    import session.implicits._
+    val data = Seq(-32, -5, 1, 17, 39, 43, 101, 127).map(_.toByte)
+    val df = data.toDF("id")
+    val negativeValues = Seq(-101, 55, 113).map(_.toByte)
+    checkBloomFilter(data, negativeValues, df)
+  }
+
+  test("Bloom filter -- String Column") {
+    val session = spark
+    import session.implicits._
+    val data = Seq(-143, -32, -5, 1, 17, 39, 43, 101, 127, 997).map(_.toString)
+    val df = data.toDF("id")
+    val negativeValues = Seq(-11, 1021, 32767).map(_.toString)
+    checkBloomFilter(data, negativeValues, df)
+  }
+
+  private def checkBloomFilter(
+      data: Seq[Any],
+      notContainValues: Seq[Any],
+      df: DataFrame): Unit = {
+    val filter1 = df.stat.bloomFilter("id", 1000, 0.03)
+    assert(filter1.expectedFpp() - 0.03 < 1e-3)
+    assert(data.forall(filter1.mightContain))
+    assert(notContainValues.forall(n => !filter1.mightContain(n)))
+    val filter2 = df.stat.bloomFilter("id", 1000, 64 * 5)
+    assert(filter2.bitSize() == 64 * 5)
+    assert(data.forall(filter2.mightContain))
+    assert(notContainValues.forall(n => !filter2.mightContain(n)))
+  }
+
+  test("Bloom filter -- Wrong dataType Column") {
+    val session = spark
+    import session.implicits._
+    val data = Range(0, 1000).map(_.toDouble)
+    val message = intercept[AnalysisException] {
+      data.toDF("id").stat.bloomFilter("id", 1000, 0.03)
+    }.getMessage
+    assert(message.contains("DATATYPE_MISMATCH.BLOOM_FILTER_WRONG_TYPE"))
+  }
+
+  test("Bloom filter test invalid inputs") {
+    val df = spark.range(1000).toDF("id")
+    val message1 = intercept[SparkException] {
+      df.stat.bloomFilter("id", -1000, 100)
+    }.getMessage
+    assert(message1.contains("Expected insertions must be positive"))
+
+    val message2 = intercept[SparkException] {
+      df.stat.bloomFilter("id", 1000, -100)
+    }.getMessage
+    assert(message2.contains("Number of bits must be positive"))
+
+    val message3 = intercept[SparkException] {
+      df.stat.bloomFilter("id", 1000, -1.0)
+    }.getMessage
+    assert(message3.contains("False positive probability must be within range (0.0, 1.0)"))
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 7356d4daa79d6..8f226eb2f7e4a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -163,9 +163,6 @@ object CheckConnectJvmClientCompatibility {
       // DataFrameNaFunctions
       ProblemFilters.exclude[Problem]("org.apache.spark.sql.DataFrameNaFunctions.fillValue"),
 
-      // DataFrameStatFunctions
-      ProblemFilters.exclude[Problem]("org.apache.spark.sql.DataFrameStatFunctions.bloomFilter"),
-
       // Dataset
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.Dataset$" // private[sql]
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index dc77c52ef46d3..f3e87b7067d8d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -48,6 +48,7 @@ import org.apache.spark.sql.catalyst.analysis.{GlobalTempView, LocalTempView, Mu
 import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, ExpressionEncoder, RowEncoder}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.UnboundRowEncoder
 import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.expressions.aggregate.BloomFilterAggregate
 import org.apache.spark.sql.catalyst.parser.{CatalystSqlParser, ParseException, ParserUtils}
 import org.apache.spark.sql.catalyst.plans.{Cross, FullOuter, Inner, JoinType, LeftAnti, LeftOuter, LeftSemi, RightOuter, UsingJoin}
 import org.apache.spark.sql.catalyst.plans.logical
@@ -1731,6 +1732,36 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         val ignoreNulls = extractBoolean(children(3), "ignoreNulls")
         Some(Lead(children.head, children(1), children(2), ignoreNulls))
 
+      case "bloom_filter_agg" if fun.getArgumentsCount == 3 =>
+        // [col, expectedNumItems: Long, numBits: Long]
+        val children = fun.getArgumentsList.asScala.map(transformExpression)
+
+        // Check expectedNumItems is LongType and value greater than 0L
+        val expectedNumItemsExpr = children(1)
+        val expectedNumItems = expectedNumItemsExpr match {
+          case Literal(l: Long, LongType) => l
+          case _ =>
+            throw InvalidPlanInput("Expected insertions must be long literal.")
+        }
+        if (expectedNumItems <= 0L) {
+          throw InvalidPlanInput("Expected insertions must be positive.")
+        }
+
+        val numBitsExpr = children(2)
+        // Check numBits is LongType and value greater than 0L
+        numBitsExpr match {
+          case Literal(numBits: Long, LongType) =>
+            if (numBits <= 0L) {
+              throw InvalidPlanInput("Number of bits must be positive.")
+            }
+          case _ =>
+            throw InvalidPlanInput("Number of bits must be long literal.")
+        }
+
+        Some(
+          new BloomFilterAggregate(children.head, expectedNumItemsExpr, numBitsExpr)
+            .toAggregateExpression())
+
       case "window" if Seq(2, 3, 4).contains(fun.getArgumentsCount) =>
         val children = fun.getArgumentsList.asScala.map(transformExpression)
         val timeCol = children.head
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/BloomFilterAggregate.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/BloomFilterAggregate.scala
index 980785e764cdb..7cba462ce2c3e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/BloomFilterAggregate.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/BloomFilterAggregate.scala
@@ -29,6 +29,7 @@ import org.apache.spark.sql.catalyst.trees.TernaryLike
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.SQLConf.{RUNTIME_BLOOM_FILTER_MAX_NUM_BITS, RUNTIME_BLOOM_FILTER_MAX_NUM_ITEMS}
 import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.UTF8String
 import org.apache.spark.util.sketch.BloomFilter
 
 /**
@@ -78,7 +79,7 @@ case class BloomFilterAggregate(
             "exprName" -> "estimatedNumItems or numBits"
           )
         )
-      case (LongType, LongType, LongType) =>
+      case (LongType | IntegerType | ShortType | ByteType | StringType, LongType, LongType) =>
         if (!estimatedNumItemsExpression.foldable) {
           DataTypeMismatch(
             errorSubClass = "NON_FOLDABLE_INPUT",
@@ -150,6 +151,15 @@ case class BloomFilterAggregate(
     Math.min(numBitsExpression.eval().asInstanceOf[Number].longValue,
       SQLConf.get.getConf(RUNTIME_BLOOM_FILTER_MAX_NUM_BITS))
 
+  // Mark as lazy so that `updater` is not evaluated during tree transformation.
+  private lazy val updater: BloomFilterUpdater = child.dataType match {
+    case LongType => LongUpdater
+    case IntegerType => IntUpdater
+    case ShortType => ShortUpdater
+    case ByteType => ByteUpdater
+    case StringType => BinaryUpdater
+  }
+
   override def first: Expression = child
 
   override def second: Expression = estimatedNumItemsExpression
@@ -174,7 +184,7 @@ case class BloomFilterAggregate(
     if (value == null) {
       return buffer
     }
-    buffer.putLong(value.asInstanceOf[Long])
+    updater.update(buffer, value)
     buffer
   }
 
@@ -224,3 +234,32 @@ object BloomFilterAggregate {
     bloomFilter
   }
 }
+
+private trait BloomFilterUpdater {
+  def update(bf: BloomFilter, v: Any): Boolean
+}
+
+private object LongUpdater extends BloomFilterUpdater with Serializable {
+  override def update(bf: BloomFilter, v: Any): Boolean =
+    bf.putLong(v.asInstanceOf[Long])
+}
+
+private object IntUpdater extends BloomFilterUpdater with Serializable {
+  override def update(bf: BloomFilter, v: Any): Boolean =
+    bf.putLong(v.asInstanceOf[Int])
+}
+
+private object ShortUpdater extends BloomFilterUpdater with Serializable {
+  override def update(bf: BloomFilter, v: Any): Boolean =
+    bf.putLong(v.asInstanceOf[Short])
+}
+
+private object ByteUpdater extends BloomFilterUpdater with Serializable {
+  override def update(bf: BloomFilter, v: Any): Boolean =
+    bf.putLong(v.asInstanceOf[Byte])
+}
+
+private object BinaryUpdater extends BloomFilterUpdater with Serializable {
+  override def update(bf: BloomFilter, v: Any): Boolean =
+    bf.putBinary(v.asInstanceOf[UTF8String].getBytes)
+}

From 821dbb7addad3b43a7eaae2c4deb448a855b4350 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 16 Aug 2023 17:57:34 +0800
Subject: [PATCH 243/986] [SPARK-44795][CONNECT][TESTS][FOLLOWUP] Fix test case
 `REPL class in UDF` for Scala 2.13

### What changes were proposed in this pull request?
This PR refactors the test case `REPL class in UDF` to ensure that Scala 2.12 and Scala 2.13 use the same results for assertion.

### Why are the changes needed?
There are the following test failures in the daily testing of branch-3.5:

- https://github.com/apache/spark/actions/runs/5866399652/job/15905157665

<img width="941" alt="image" src="https://github.com/apache/spark/assets/1475305/62dcd4eb-e01f-4a11-bf17-386129fdb08d">

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Github Actions
- Manually check

```
dev/change-scala-version.sh 2.13
build/sbt clean "connect-client-jvm/testOnly org.apache.spark.sql.application.ReplE2ESuite" -Phive -Pscala-2.13
```

**Before**

```
[info]    case class MyTestClass(value: Int)
defined class MyTestClass
[info]
[info]    spark.range(2).map(i => MyTestClass(i.toInt)).collect()
res56: Array[MyTestClass] = Array(MyTestClass(value = 0), MyTestClass(value = 1))
[info]
[info]

[info]    semaphore.release()

[info]   Error Output: Compiling (synthetic)/ammonite/predef/ArgsPredef.sc
[info]   Compiling /Users/yangjie01/SourceCode/git/spark-mine-sbt/connector/connect/client/jvm/(console) (ReplE2ESuite.scala:111)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.sql.application.ReplE2ESuite.assertContains(ReplE2ESuite.scala:111)
[info]   at org.apache.spark.sql.application.ReplE2ESuite.$anonfun$new$14(ReplE2ESuite.scala:289)
[info]   at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
[info]   at org.apache.spark.sql.connect.client.util.RemoteSparkSession.$anonfun$test$1(RemoteSparkSession.scala:243)
...
[info] Run completed in 41 seconds, 573 milliseconds.
[info] Total number of tests run: 15
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 14, failed 1, canceled 0, ignored 0, pending 0
[info] *** 1 TEST FAILED ***
```

**After**

```
[info] ReplE2ESuite:
[info] - Simple query (4 seconds, 334 milliseconds)
[info] - UDF containing 'def' (1 second, 509 milliseconds)
[info] - UDF containing in-place lambda (897 milliseconds)
[info] - Updating UDF properties (904 milliseconds)
[info] - SPARK-43198: Filter does not throw ammonite-related class initialization exception (1 second, 137 milliseconds)
[info] - Client-side JAR (1 second, 329 milliseconds)
[info] - Java UDF (950 milliseconds)
[info] - Java UDF Registration (950 milliseconds)
[info] - UDF Registration (932 milliseconds)
[info] - UDF closure registration (807 milliseconds)
[info] - call_udf (1 second, 235 milliseconds)
[info] - call_function (884 milliseconds)
[info] - Collect REPL generated class (1 second, 198 milliseconds)
[info] - REPL class in UDF (732 milliseconds)
[info] - streaming works with REPL generated code (2 seconds, 845 milliseconds)
[info] Run completed in 41 seconds, 346 milliseconds.
[info] Total number of tests run: 15
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 15, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
 ```

Closes #42508 from LuciferYang/SPARK-44795-FOLLOWUP.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit ed906e0f7b1d485ca72cde77c73054d67e8221a2)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../org/apache/spark/sql/application/ReplE2ESuite.scala   | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 13ca5caf0af13..d86856e3b3671 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -283,10 +283,14 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   test("REPL class in UDF") {
     val input = """
         |case class MyTestClass(value: Int)
-        |spark.range(2).map(i => MyTestClass(i.toInt)).collect()
+        |spark.range(2).
+        |  map(i => MyTestClass(i.toInt)).
+        |  collect().
+        |  map(mtc => s"MyTestClass(${mtc.value})").
+        |  mkString("[", ", ", "]")
       """.stripMargin
     val output = runCommandsInShell(input)
-    assertContains("Array[MyTestClass] = Array(MyTestClass(0), MyTestClass(1))", output)
+    assertContains("""String = "[MyTestClass(0), MyTestClass(1)]"""", output)
   }
 
   test("streaming works with REPL generated code") {

From a23bb3d07144a85b43160e3e2da2d0bf112d881c Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Wed, 16 Aug 2023 15:28:12 +0200
Subject: [PATCH 244/986] [SPARK-44799][CONNECT] Fix outer scopes resolution on
 the executor side

### What changes were proposed in this pull request?
When you define a class in the REPL (with previously defines symbols), for example:
```scala
val filePath = "my_path"
case class MyTestClass(value: Int)
```
This is actually declared inside a command class.In ammonite the structure looks like this:
```scala
// First command contains the `filePath`
object cmd1 {
  val wrapper = new cmd1
  val instance = new command.Helper
}
class cmd1 extends Serializable {
  class Helper extends Serializable {
    val filePath = "my_path"
  }
}

// Second contains the `MyTestClass` definition
object command2 {
  val wrapper = new command2
  val instance = new command.Helper
}
class command2 extends Serializable {
  _root_.scala.transient private val __amm_usedThings = _root_.ammonite.repl.ReplBridge.value.usedEarlierDefinitions.iterator.toSet

  private val `cmd1`: cmd1.instance.type = if (__amm_usedThings("""cmd1""")) cmd1 else null.asInstanceOf[cmd1.instance.type]

  class Helper extends Serializable {
    case class MyTestClass(value: Int)
  }
}
```
In order to create an instance of `MyTestClass` we need an instance of the `Helper`. When an instance of the class is created by Spark itself we use `OuterScopes` that - for Ammonite generated classes - accesses the command object to fetch the helper instance. The problem with this, is that the access triggers the creation of an instance of the command, when you create an instance of the command this tries to access the REPL to figure out which one of its dependents is in use (clever compiler trick), and this fails because we are not running the REPL on the driver or executor in connect.

This PR fixes this issue by explicitly passing an getter for the outer instance to the `ProductEncoder`. For ammonite we actually ship the helper instance.  This way the encoder always carries the information it needs to create the class.

### Why are the changes needed?
This fixes a bug when you try to use a REPL defined class as the input of the UDF. For example this will work now:
```scala
val filePath = "my_path" // we need some previous cell that exposes a symbol that could be captured in the class definition.
case class MyTestClass(value: Int) {
      override def toString: String = value.toString
}
spark.range(10).select(col("id").cast("int").as("value")).as[MyTestClass].map(mtc => mtc.value).collect()
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Added a test to `ReplE2ESuite` illustrate the issue.

Closes #42489 from hvanhovell/SPARK-44799.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit cb8c653f3c7f76129deae366608613a968b81264)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/Dataset.scala  |  3 +-
 .../sql/connect/client/SparkResult.scala      |  4 +--
 .../client/arrow/ArrowDeserializer.scala      |  6 ++--
 .../client/arrow/ArrowSerializer.scala        |  2 +-
 .../spark/sql/application/ReplE2ESuite.scala  | 13 ++++++++
 .../spark/sql/catalyst/ScalaReflection.scala  |  5 +--
 .../catalyst/encoders/AgnosticEncoder.scala   |  5 +--
 .../sql/catalyst/encoders/OuterScopes.scala   | 33 +++++++++++++++----
 .../catalyst/DeserializerBuildHelper.scala    |  4 +--
 .../sql/catalyst/SerializerBuildHelper.scala  |  2 +-
 .../sql/catalyst/ScalaReflectionSuite.scala   |  3 +-
 11 files changed, 58 insertions(+), 22 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index 28b04fb850ef3..cb7d2c84df564 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -883,7 +883,8 @@ class Dataset[T] private[sql] (
         ClassTag(SparkClassUtils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple2")),
         Seq(
           EncoderField(s"_1", this.agnosticEncoder, leftNullable, Metadata.empty),
-          EncoderField(s"_2", other.agnosticEncoder, rightNullable, Metadata.empty)))
+          EncoderField(s"_2", other.agnosticEncoder, rightNullable, Metadata.empty)),
+        None)
 
     sparkSession.newDataset(tupleEncoder) { builder =>
       val joinBuilder = builder.getJoinBuilder
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
index 609e84779fbfc..48278311428db 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
@@ -60,14 +60,14 @@ private[sql] class SparkResult[T](
         RowEncoder
           .encoderFor(dataType.asInstanceOf[StructType])
           .asInstanceOf[AgnosticEncoder[E]]
-      case ProductEncoder(clsTag, fields) if ProductEncoder.isTuple(clsTag) =>
+      case ProductEncoder(clsTag, fields, outer) if ProductEncoder.isTuple(clsTag) =>
         // Recursively continue updating the tuple product encoder
         val schema = dataType.asInstanceOf[StructType]
         assert(fields.length <= schema.fields.length)
         val updatedFields = fields.zipWithIndex.map { case (f, id) =>
           f.copy(enc = createEncoder(f.enc, schema.fields(id).dataType))
         }
-        ProductEncoder(clsTag, updatedFields)
+        ProductEncoder(clsTag, updatedFields, outer)
       case _ =>
         enc
     }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index 82086b9d47a87..cd54966ccf54d 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -34,7 +34,7 @@ import org.apache.arrow.vector.ipc.ArrowReader
 import org.apache.arrow.vector.util.Text
 
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, OuterScopes}
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.connect.client.CloseableIterator
@@ -288,9 +288,9 @@ object ArrowDeserializers {
           throw unsupportedCollectionType(tag.runtimeClass)
         }
 
-      case (ProductEncoder(tag, fields), StructVectors(struct, vectors)) =>
+      case (ProductEncoder(tag, fields, outerPointerGetter), StructVectors(struct, vectors)) =>
+        val outer = outerPointerGetter.map(_()).toSeq
         // We should try to make this work with MethodHandles.
-        val outer = Option(OuterScopes.getOuterScope(tag.runtimeClass)).map(_()).toSeq
         val Some(constructor) =
           ScalaReflection.findConstructor(
             tag.runtimeClass,
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
index 9e67522711c6e..4c14489947f92 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
@@ -413,7 +413,7 @@ object ArrowSerializer {
               serializerFor(value, structVector.getChild(MapVector.VALUE_NAME))) :: Nil)
         new ArraySerializer(v, extractor, structSerializer)
 
-      case (ProductEncoder(tag, fields), StructVectors(struct, vectors)) =>
+      case (ProductEncoder(tag, fields, _), StructVectors(struct, vectors)) =>
         if (isSubClass(classOf[Product], tag)) {
           structSerializerFor(fields, struct, vectors) { (_, i) => p =>
             p.asInstanceOf[Product].productElement(i)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index d86856e3b3671..f467aee73f2f5 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -280,6 +280,19 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     assertContains("""String = "[MyTestClass(1), MyTestClass(3)]"""", output)
   }
 
+  test("REPL class in encoder") {
+    val input = """
+        |case class MyTestClass(value: Int)
+        |spark.range(3).
+        |  select(col("id").cast("int").as("value")).
+        |  as[MyTestClass].
+        |  map(mtc => mtc.value).
+        |  collect()
+      """.stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("Array[Int] = Array(0, 1, 2)", output)
+  }
+
   test("REPL class in UDF") {
     val input = """
         |case class MyTestClass(value: Int)
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
index 5f063b4a9a6ad..24317c73d8593 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
@@ -28,7 +28,7 @@ import org.apache.commons.lang3.reflect.ConstructorUtils
 
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.Row
-import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, OuterScopes}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.errors.ExecutionErrors
 import org.apache.spark.sql.types._
@@ -394,7 +394,8 @@ object ScalaReflection extends ScalaReflection {
               isRowEncoderSupported)
             EncoderField(fieldName, encoder, encoder.nullable, Metadata.empty)
         }
-        ProductEncoder(ClassTag(getClassFromType(t)), params)
+        val cls = getClassFromType(t)
+        ProductEncoder(ClassTag(cls), params, Option(OuterScopes.getOuterScope(cls)))
       case _ =>
         throw ExecutionErrors.cannotFindEncoderForTypeError(tpe.toString)
     }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
index 99f33214d20ed..e5e9ba644b814 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala
@@ -113,7 +113,8 @@ object AgnosticEncoders {
   // This supports both Product and DefinedByConstructorParams
   case class ProductEncoder[K](
       override val clsTag: ClassTag[K],
-      override val fields: Seq[EncoderField]) extends StructEncoder[K]
+      override val fields: Seq[EncoderField],
+      outerPointerGetter: Option[() => AnyRef]) extends StructEncoder[K]
 
   object ProductEncoder {
     val cachedCls = new ConcurrentHashMap[Int, Class[_]]
@@ -123,7 +124,7 @@ object AgnosticEncoders {
       }
       val cls = cachedCls.computeIfAbsent(encoders.size,
         _ => SparkClassUtils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple${encoders.size}"))
-      ProductEncoder[Any](ClassTag(cls), fields)
+      ProductEncoder[Any](ClassTag(cls), fields, None)
     }
 
     private[sql] def isTuple(tag: ClassTag[_]): Boolean = {
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
index 6c10e8ece800b..b497cd3f38646 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/encoders/OuterScopes.scala
@@ -82,13 +82,32 @@ object OuterScopes {
     if (outer == null) {
       outerClassName match {
         case AmmoniteREPLClass(cellClassName) =>
-          () => {
-            val objClass = SparkClassUtils.classForName(cellClassName)
-            val objInstance = objClass.getField("MODULE$").get(null)
-            val obj = objClass.getMethod("instance").invoke(objInstance)
-            addOuterScope(obj)
-            obj
-          }
+          /* A short introduction to Ammonite class generation.
+           *
+           * There are three classes generated for each command:
+           * - The command. This contains all the dependencies needed to execute the command. It
+           *   also contains some logic to only initialize dependencies it needs, the others will
+           *   be null. This logic is powered by the compiler, and it will only work when there is
+           *   an Ammonite REPL bound through the ReplBridge; it will fail with a
+           *   NullPointerException when this is not the case.
+           * - The Helper. This contains the user code. This is an inner class of the command. If
+           *   it needs one of its dependencies it will pull them from the command. The helper
+           *   instance is needed when a class is defined in the user code. This where this code
+           *   comes in, it resolves the Helper instance.
+           * - The command companion object. This holds an instance of the Helper class and the
+           *   command. When you touch the command companion on a machine where the REPL is not
+           *   running (driver and executors for connect), and the command has dependencies, the
+           *   initialization of the command will fail because it cannot use the REPL to figure out
+           *   which dependencies to retain.
+           *
+           * To by-pass the problem with executor side helper resolution, we eagerly capture the
+           * helper instance here.
+           */
+          val objClass = SparkClassUtils.classForName(cellClassName)
+          val objInstance = objClass.getField("MODULE$").get(null)
+          val obj = objClass.getMethod("instance").invoke(objInstance)
+          addOuterScope(obj)
+          () => obj
         // If the outer class is generated by REPL, users don't need to register it as it has
         // only one instance and there is a way to retrieve it: get the `$read` object, call the
         // `INSTANCE()` method to get the single instance of class `$read`. Then call `$iw()`
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
index bdf996424adad..16a7d7ff06526 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
@@ -350,7 +350,7 @@ object DeserializerBuildHelper {
         createDeserializer(valueEncoder, _, newTypePath),
         tag.runtimeClass)
 
-    case ProductEncoder(tag, fields) =>
+    case ProductEncoder(tag, fields, outerPointerGetter) =>
       val cls = tag.runtimeClass
       val dt = ObjectType(cls)
       val isTuple = cls.getName.startsWith("scala.Tuple")
@@ -373,7 +373,7 @@ object DeserializerBuildHelper {
       exprs.If(
         IsNull(path),
         exprs.Literal.create(null, dt),
-        NewInstance(cls, arguments, dt, propagateNull = false))
+        NewInstance(cls, arguments, Nil, propagateNull = false, dt, outerPointerGetter))
 
     case AgnosticEncoders.RowEncoder(fields) =>
       val convertedFields = fields.zipWithIndex.map { case (f, i) =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
index 7a4061a4b5605..27090ff6fa5d6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
@@ -347,7 +347,7 @@ object SerializerBuildHelper {
           validateAndSerializeElement(valueEncoder, valueContainsNull))
       )
 
-    case ProductEncoder(_, fields) =>
+    case ProductEncoder(_, fields, _) =>
       val serializedFields = fields.map { field =>
         // SPARK-26730 inputObject won't be null with If's guard below. And KnownNotNul
         // is necessary here. Because for a nullable nested inputObject with struct data
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ScalaReflectionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ScalaReflectionSuite.scala
index 690e55dbe5fd1..bbb62acd02508 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ScalaReflectionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ScalaReflectionSuite.scala
@@ -611,7 +611,8 @@ class ScalaReflectionSuite extends SparkFunSuite {
     assert(encoderForWithRowEncoderSupport[MyClass] ===
       ProductEncoder(
         ClassTag(getClassFromType(typeTag[MyClass].tpe)),
-        Seq(EncoderField("row", UnboundRowEncoder, true, Metadata.empty))))
+        Seq(EncoderField("row", UnboundRowEncoder, true, Metadata.empty)),
+        None))
   }
 
   case class MyClass(row: Row)

From d1c18dc13a55718708743bb1fd7a38d2492c1680 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 16 Aug 2023 22:54:24 +0800
Subject: [PATCH 245/986] [SPARK-44828][BUILD] Upgrade ORC to 1.9.1

### What changes were proposed in this pull request?

This PR aims to upgrade ORC to 1.9.1 for Apache Spark 3.5.0.

### Why are the changes needed?

To bring the following bug fix.

- [ORC-1462](https://issues.apache.org/jira/browse/ORC-1462) Bump aircompressor to 0.25 to fix JDK-8081450

Here is the full release note for more bug fixes.
- https://orc.apache.org/news/2023/08/16/ORC-1.9.1/

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

Closes #42511 from dongjoon-hyun/SPARK-44828.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 8c97b3c48a7e3d9d56a116399480b316d8e44cd2)
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 8 ++++----
 pom.xml                               | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 14af8ea340fe7..b6aba589d5f0b 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -4,7 +4,7 @@ JTransforms/3.1//JTransforms-3.1.jar
 RoaringBitmap/0.9.45//RoaringBitmap-0.9.45.jar
 ST4/4.0.4//ST4-4.0.4.jar
 activation/1.1.1//activation-1.1.1.jar
-aircompressor/0.24//aircompressor-0.24.jar
+aircompressor/0.25//aircompressor-0.25.jar
 algebra_2.12/2.0.1//algebra_2.12-2.0.1.jar
 aliyun-java-sdk-core/4.5.10//aliyun-java-sdk-core-4.5.10.jar
 aliyun-java-sdk-kms/2.11.0//aliyun-java-sdk-kms-2.11.0.jar
@@ -212,9 +212,9 @@ opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
 opentracing-util/0.33.0//opentracing-util-0.33.0.jar
-orc-core/1.9.0/shaded-protobuf/orc-core-1.9.0-shaded-protobuf.jar
-orc-mapreduce/1.9.0/shaded-protobuf/orc-mapreduce-1.9.0-shaded-protobuf.jar
-orc-shims/1.9.0//orc-shims-1.9.0.jar
+orc-core/1.9.1/shaded-protobuf/orc-core-1.9.1-shaded-protobuf.jar
+orc-mapreduce/1.9.1/shaded-protobuf/orc-mapreduce-1.9.1-shaded-protobuf.jar
+orc-shims/1.9.1//orc-shims-1.9.1.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
diff --git a/pom.xml b/pom.xml
index d0c3bfc361a55..2c340f847bf92 100644
--- a/pom.xml
+++ b/pom.xml
@@ -141,7 +141,7 @@
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
     <parquet.version>1.13.1</parquet.version>
-    <orc.version>1.9.0</orc.version>
+    <orc.version>1.9.1</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.51.v20230217</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

From bbaeb35d9bdba045a25b19f67618beb5b25f54d4 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 16 Aug 2023 19:48:30 +0200
Subject: [PATCH 246/986] [SPARK-43509][PYTHON][CONNECT][FOLLOW-UP] Check
 SPARK_CONNECT_MODE_ENABLED when creating a session

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/41013 that adds a check for `SPARK_CONNECT_MODE_ENABLED` when we create a Spark session via `pyspark.sql.SparkSession.getOrCreate()` so the next session can be consistently returned.

### Why are the changes needed?

Currently, it returns non Spark connect session if you call `SparkSession.builder.getOrCreate` after creating a Spark Connect session if `SPARK_REMOTE` is not globally set (that is currently automatically set if you launch `./bin/pyspark --remote local`). So this can only be reproducible when you Spark Connect as a library. See how it's tested below.

### Does this PR introduce _any_ user-facing change?

The change has not been released yet so there's no behaviour changes to the end users.

### How was this patch tested?

Manually tested as below:

```bash
cd python
python
```

```python
from pyspark.sql import SparkSession
SparkSession.builder.remote("local").getOrCreate()
SparkSession.builder.getOrCreate()
```

```
<pyspark.sql.connect.session.SparkSession object at 0x7fa9807fd790>
<pyspark.sql.session.SparkSession object at 0x7fd97890e730>
```

```
<pyspark.sql.connect.session.SparkSession object at 0x7fa9807fd790>
<pyspark.sql.connect.session.SparkSession object at 0x7fa9807fd790>
```

Closes #42464 from HyukjinKwon/SPARK-43509.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 11cbdc291c96926820419b97559f25955d7791d6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/session.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index 9141051fdf830..ce197319977ab 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -455,7 +455,11 @@ def getOrCreate(self) -> "SparkSession":
             opts = dict(self._options)
 
             with self._lock:
-                if "SPARK_REMOTE" in os.environ or "spark.remote" in opts:
+                if (
+                    "SPARK_CONNECT_MODE_ENABLED" in os.environ
+                    or "SPARK_REMOTE" in os.environ
+                    or "spark.remote" in opts
+                ):
                     with SparkContext._lock:
                         from pyspark.sql.connect.session import SparkSession as RemoteSparkSession
 

From 02d1f09df0da202e3996cdcfbca44525862528b9 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 16 Aug 2023 21:03:01 +0200
Subject: [PATCH 247/986] [SPARK-44824][CONNECT][TESTS][3.5] Reset
 `ammoniteOut` in the `afterEach` method of `ReplE2ESuite`

### What changes were proposed in this pull request?
This PR add `ammoniteOut.reset()` in the `afterEach` method of `ReplE2ESuite` to ensure that the 'output' used for assertions in each test case is only related to the current case and not all content.

### Why are the changes needed?
The current `ammoniteOut` records the output content of all executed tests, without isolating between cases. This can lead to unexpected assertion results.
For example, adding 'assertContains("""String = "[MyTestClass(1), MyTestClass(3)]"""", output)' in the following test case would still pass the test because it is a result content printed to `ammoniteOut` in the previous test case.

https://github.com/apache/spark/blob/2be20e54a2222f6cdf64e8486d1910133b43665f/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala#L283-L290

Hence, we need to clear the content in `ammoniteOut` after each test to achieve isolation between test cases.

### Does this PR introduce _any_ user-facing change?
No, just for test

### How was this patch tested?
- Pass Github Actions
- Manual check

Prints the `output` after `val output = runCommandsInShell(input)` in the the case `streaming works with REPL generated code`

https://github.com/apache/spark/blob/2be20e54a2222f6cdf64e8486d1910133b43665f/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala#L313-L318

run

```
build/sbt "connect-client-jvm/testOnly org.apache.spark.sql.application.ReplE2ESuite" -Phive
```

**Before**: we can see the content of all test cases that have been executed in the `ReplE2ESuite`

```
Spark session available as 'spark'.
   _____                  __      ______                            __
  / ___/____  ____ ______/ /__   / ____/___  ____  ____  ___  _____/ /_
  \__ \/ __ \/ __ `/ ___/ //_/  / /   / __ \/ __ \/ __ \/ _ \/ ___/ __/
 ___/ / /_/ / /_/ / /  / ,<    / /___/ /_/ / / / / / / /  __/ /__/ /_
/____/ .___/\__,_/_/  /_/|_|   \____/\____/_/ /_/_/ /_/\___/\___/\__/
    /_/

 spark.sql("select 1").collect()
res0: Array[org.apache.spark.sql.Row] = Array([1])

 semaphore.release()

 class A(x: Int) { def get = x * 5 + 19 }
defined class A

 def dummyUdf(x: Int): Int = new A(x).get
defined function dummyUdf

 val myUdf = udf(dummyUdf _)
myUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.range(5).select(myUdf(col("id"))).as[Int].collect()
res5: Array[Int] = Array(19, 24, 29, 34, 39)

 semaphore.release()

 class A(x: Int) { def get = x * 42 + 5 }
defined class A

 val myUdf = udf((x: Int) => new A(x).get)
myUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.range(5).select(myUdf(col("id"))).as[Int].collect()
res9: Array[Int] = Array(5, 47, 89, 131, 173)

 semaphore.release()

 class A(x: Int) { def get = x * 7 }
defined class A

 val myUdf = udf((x: Int) => new A(x).get)
myUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 val modifiedUdf = myUdf.withName("myUdf").asNondeterministic()
modifiedUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.range(5).select(modifiedUdf(col("id"))).as[Int].collect()
res14: Array[Int] = Array(0, 7, 14, 21, 28)

 semaphore.release()

 spark.range(10).filter(n => n % 2 == 0).collect()
res16: Array[java.lang.Long] = Array(0L, 2L, 4L, 6L, 8L)

 semaphore.release()

 import java.nio.file.Paths
import java.nio.file.Paths

 def classLoadingTest(x: Int): Int = {
    val classloader =
      Option(Thread.currentThread().getContextClassLoader).getOrElse(getClass.getClassLoader)
    val cls = Class.forName("com.example.Hello$", true, classloader)
    val module = cls.getField("MODULE$").get(null)
    cls.getMethod("test").invoke(module).asInstanceOf[Int]
  }
defined function classLoadingTest

 val classLoaderUdf = udf(classLoadingTest _)
classLoaderUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 val jarPath = Paths.get("/Users/yangjie01/SourceCode/git/spark-mine-sbt/connector/connect/client/jvm/src/test/resources/TestHelloV2_2.12.jar").toUri
jarPath: java.net.URI = file:///Users/yangjie01/SourceCode/git/spark-mine-sbt/connector/connect/client/jvm/src/test/resources/TestHelloV2_2.12.jar

 spark.addArtifact(jarPath)

 spark.range(5).select(classLoaderUdf(col("id"))).as[Int].collect()
res23: Array[Int] = Array(2, 2, 2, 2, 2)

 semaphore.release()

 import org.apache.spark.sql.api.java._
import org.apache.spark.sql.api.java._

 import org.apache.spark.sql.types.LongType
import org.apache.spark.sql.types.LongType

 val javaUdf = udf(new UDF1[Long, Long] {
    override def call(num: Long): Long = num * num + 25L
  }, LongType).asNondeterministic()
javaUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.range(5).select(javaUdf(col("id"))).as[Long].collect()
res28: Array[Long] = Array(25L, 26L, 29L, 34L, 41L)

 semaphore.release()

 import org.apache.spark.sql.api.java._
import org.apache.spark.sql.api.java._

 import org.apache.spark.sql.types.LongType
import org.apache.spark.sql.types.LongType

 spark.udf.register("javaUdf", new UDF1[Long, Long] {
    override def call(num: Long): Long = num * num * num + 250L
  }, LongType)

 spark.sql("select javaUdf(id) from range(5)").as[Long].collect()
res33: Array[Long] = Array(250L, 251L, 258L, 277L, 314L)

 semaphore.release()

 class A(x: Int) { def get = x * 100 }
defined class A

 val myUdf = udf((x: Int) => new A(x).get)
myUdf: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.udf.register("dummyUdf", myUdf)
res37: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.sql("select dummyUdf(id) from range(5)").as[Long].collect()
res38: Array[Long] = Array(0L, 100L, 200L, 300L, 400L)

 semaphore.release()

 class A(x: Int) { def get = x * 15 }
defined class A

 spark.udf.register("directUdf", (x: Int) => new A(x).get)
res41: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 spark.sql("select directUdf(id) from range(5)").as[Long].collect()
res42: Array[Long] = Array(0L, 15L, 30L, 45L, 60L)

 semaphore.release()

 val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
df: org.apache.spark.sql.package.DataFrame = [id: string, value: int]

 spark.udf.register("simpleUDF", (v: Int) => v * v)
res45: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 df.select($"id", call_udf("simpleUDF", $"value")).collect()
res46: Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])

semaphore.release()

 val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
df: org.apache.spark.sql.package.DataFrame = [id: string, value: int]

 spark.udf.register("simpleUDF", (v: Int) => v * v)
res49: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 df.select($"id", call_function("simpleUDF", $"value")).collect()
res50: Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])

 semaphore.release()

 case class MyTestClass(value: Int)
defined class MyTestClass

 spark.range(4).
    filter($"id" % 2 === 1).
    select($"id".cast("int").as("value")).
    as[MyTestClass].
    collect().
    map(mtc => s"MyTestClass(${mtc.value})").
    mkString("[", ", ", "]")
res53: String = "[MyTestClass(1), MyTestClass(3)]"

 semaphore.release()

 case class MyTestClass(value: Int)
defined class MyTestClass

 spark.range(2).map(i => MyTestClass(i.toInt)).collect()
res56: Array[MyTestClass] = Array(MyTestClass(0), MyTestClass(1))

 semaphore.release()

 val add1 = udf((i: Long) => i + 1)
add1: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 val query = {
    spark.readStream
        .format("rate")
        .option("rowsPerSecond", "10")
        .option("numPartitions", "1")
        .load()
        .withColumn("value", add1($"value"))
        .writeStream
        .format("memory")
        .queryName("my_sink")
        .start()
  }
query: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.streaming.RemoteStreamingQuery79cdf37e

 var progress = query.lastProgress
progress: org.apache.spark.sql.streaming.StreamingQueryProgress = null

 while (query.isActive && (progress == null || progress.numInputRows == 0)) {
    query.awaitTermination(100)
    progress = query.lastProgress
  }

 val noException = query.exception.isEmpty
noException: Boolean = true

 query.stop()

 semaphore.release()
```

**After**: we can only see the content that is related to the test case `streaming works with REPL generated code`

```

 val add1 = udf((i: Long) => i + 1)
add1: org.apache.spark.sql.expressions.UserDefinedFunction = ScalarUserDefinedFunction(
  Array(
...

 val query = {
    spark.readStream
        .format("rate")
        .option("rowsPerSecond", "10")
        .option("numPartitions", "1")
        .load()
        .withColumn("value", add1($"value"))
        .writeStream
        .format("memory")
        .queryName("my_sink")
        .start()
  }
query: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.streaming.RemoteStreamingQuery5429e19b

 var progress = query.lastProgress
progress: org.apache.spark.sql.streaming.StreamingQueryProgress = null

 while (query.isActive && (progress == null || progress.numInputRows == 0)) {
    query.awaitTermination(100)
    progress = query.lastProgress
  }

 val noException = query.exception.isEmpty
noException: Boolean = true

 query.stop()

 semaphore.release()

```

Closes #42512 from LuciferYang/SPARK-44824-35.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../scala/org/apache/spark/sql/application/ReplE2ESuite.scala  | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index f467aee73f2f5..b297123614750 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -83,6 +83,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
 
   override def afterEach(): Unit = {
     semaphore.drainPermits()
+    if (ammoniteOut != null) {
+      ammoniteOut.reset()
+    }
   }
 
   def runCommandsInShell(input: String): String = {

From c225d4aefef87fd029b0bcbaa23385ce370f0324 Mon Sep 17 00:00:00 2001
From: Vsevolod Stepanov <vsevolod.stepanov@databricks.com>
Date: Wed, 16 Aug 2023 21:05:41 +0200
Subject: [PATCH 248/986] [SPARK-44829][CONNECT] Expose
 uploadAllArtifactClasses in ArtifactManager to `sql` package

### What changes were proposed in this pull request?
This PR exposes `SparkConnectClient`'s `artifactManager.uploadAllArtifactClasses` to `sql` package.

### Why are the changes needed?
Currently, UDF classfiles are uploaded in all analyze/execute operations. However, if codepath used to call Scala UDF bypasses we'll need to manually call this method to make sure that all classfiles are uploaded

### How was this patch tested?
No tests needed - this PR only exposes a method to sql package

Closes #42516 from vsevolodstep-db/SPARK-44829/uploadAllArtifactClasses.

Authored-by: Vsevolod Stepanov <vsevolod.stepanov@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 6ae4f4f751fe74944f3acd29c836f0100812117b)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/connect/client/SparkConnectClient.scala       | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index 637499f090ce4..c41f6dfaae1fc 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -62,6 +62,12 @@ private[sql] class SparkConnectClient(
     new ArtifactManager(configuration, sessionId, bstub, stub)
   }
 
+  /**
+   * Manually triggers upload of all classfile artifacts to the Spark Connect Server
+   */
+  private[sql] def uploadAllClassFileArtifacts(): Unit =
+    artifactManager.uploadAllClassFileArtifacts()
+
   /**
    * Dispatch the [[proto.AnalyzePlanRequest]] to the Spark Connect server.
    * @return

From 08bf227a4e5a2b266d91d375e5ed3fd57f9e397e Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Wed, 16 Aug 2023 18:47:19 -0700
Subject: [PATCH 249/986] [SPARK-44836][PYTHON][3.5] Refactor Arrow Python UDTF

### What changes were proposed in this pull request?

This is a backport of https://github.com/apache/spark/pull/42520.

Refactors Arrow Python UDTF.

### Why are the changes needed?

Arrow Python UDTF is not need to be redefined when creating it. It can be handled in `worker.py`.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

The existing tests.

Closes #42522 from ueshin/issues/SPARK-44836/3.5/refactor_arrow_udtf.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 python/pyspark/sql/connect/udtf.py | 40 +++++-------
 python/pyspark/sql/udtf.py         | 99 ++++++------------------------
 python/pyspark/worker.py           | 36 +++++++++--
 3 files changed, 66 insertions(+), 109 deletions(-)

diff --git a/python/pyspark/sql/connect/udtf.py b/python/pyspark/sql/connect/udtf.py
index 850ffe2b9b4b6..1e77e564ebce2 100644
--- a/python/pyspark/sql/connect/udtf.py
+++ b/python/pyspark/sql/connect/udtf.py
@@ -83,34 +83,26 @@ def _create_py_udtf(
             else:
                 raise e
 
-    # Create a regular Python UDTF and check for invalid handler class.
-    regular_udtf = _create_udtf(cls, returnType, name, PythonEvalType.SQL_TABLE_UDF, deterministic)
+    eval_type: int = PythonEvalType.SQL_TABLE_UDF
 
-    if not arrow_enabled:
-        return regular_udtf
-
-    from pyspark.sql.pandas.utils import (
-        require_minimum_pandas_version,
-        require_minimum_pyarrow_version,
-    )
-
-    try:
-        require_minimum_pandas_version()
-        require_minimum_pyarrow_version()
-    except ImportError as e:
-        warnings.warn(
-            f"Arrow optimization for Python UDTFs cannot be enabled: {str(e)}. "
-            f"Falling back to using regular Python UDTFs.",
-            UserWarning,
+    if arrow_enabled:
+        from pyspark.sql.pandas.utils import (
+            require_minimum_pandas_version,
+            require_minimum_pyarrow_version,
         )
-        return regular_udtf
 
-    from pyspark.sql.udtf import _vectorize_udtf
+        try:
+            require_minimum_pandas_version()
+            require_minimum_pyarrow_version()
+            eval_type = PythonEvalType.SQL_ARROW_TABLE_UDF
+        except ImportError as e:
+            warnings.warn(
+                f"Arrow optimization for Python UDTFs cannot be enabled: {str(e)}. "
+                f"Falling back to using regular Python UDTFs.",
+                UserWarning,
+            )
 
-    vectorized_udtf = _vectorize_udtf(cls)
-    return _create_udtf(
-        vectorized_udtf, returnType, name, PythonEvalType.SQL_ARROW_TABLE_UDF, deterministic
-    )
+    return _create_udtf(cls, returnType, name, eval_type, deterministic)
 
 
 class UserDefinedTableFunction:
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index bf85b55fea392..063fcefd0bf83 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -20,8 +20,7 @@
 import pickle
 import sys
 import warnings
-from functools import wraps
-from typing import Any, Iterable, Iterator, Type, TYPE_CHECKING, Optional, Union, Callable
+from typing import Any, Type, TYPE_CHECKING, Optional, Union
 
 from py4j.java_gateway import JavaObject
 
@@ -76,92 +75,30 @@ def _create_py_udtf(
             if isinstance(value, str) and value.lower() == "true":
                 arrow_enabled = True
 
-    # Create a regular Python UDTF and check for invalid handler class.
-    regular_udtf = _create_udtf(cls, returnType, name, PythonEvalType.SQL_TABLE_UDF, deterministic)
-
-    if not arrow_enabled:
-        return regular_udtf
-
-    # Return the regular UDTF if the required dependencies are not satisfied.
-    try:
-        require_minimum_pandas_version()
-        require_minimum_pyarrow_version()
-    except ImportError as e:
-        warnings.warn(
-            f"Arrow optimization for Python UDTFs cannot be enabled: {str(e)}. "
-            f"Falling back to using regular Python UDTFs.",
-            UserWarning,
-        )
-        return regular_udtf
+    eval_type: int = PythonEvalType.SQL_TABLE_UDF
+
+    if arrow_enabled:
+        # Return the regular UDTF if the required dependencies are not satisfied.
+        try:
+            require_minimum_pandas_version()
+            require_minimum_pyarrow_version()
+            eval_type = PythonEvalType.SQL_ARROW_TABLE_UDF
+        except ImportError as e:
+            warnings.warn(
+                f"Arrow optimization for Python UDTFs cannot be enabled: {str(e)}. "
+                f"Falling back to using regular Python UDTFs.",
+                UserWarning,
+            )
 
-    # Return the vectorized UDTF.
-    vectorized_udtf = _vectorize_udtf(cls)
     return _create_udtf(
-        cls=vectorized_udtf,
+        cls=cls,
         returnType=returnType,
         name=name,
-        evalType=PythonEvalType.SQL_ARROW_TABLE_UDF,
-        deterministic=regular_udtf.deterministic,
+        evalType=eval_type,
+        deterministic=deterministic,
     )
 
 
-def _vectorize_udtf(cls: Type) -> Type:
-    """Vectorize a Python UDTF handler class."""
-    import pandas as pd
-
-    # Wrap the exception thrown from the UDTF in a PySparkRuntimeError.
-    def wrap_func(f: Callable[..., Any]) -> Callable[..., Any]:
-        @wraps(f)
-        def evaluate(*a: Any) -> Any:
-            try:
-                return f(*a)
-            except Exception as e:
-                raise PySparkRuntimeError(
-                    error_class="UDTF_EXEC_ERROR",
-                    message_parameters={"method_name": f.__name__, "error": str(e)},
-                )
-
-        return evaluate
-
-    class VectorizedUDTF:
-        def __init__(self) -> None:
-            self.func = cls()
-
-        def eval(self, *args: pd.Series) -> Iterator[pd.DataFrame]:
-            if len(args) == 0:
-                yield pd.DataFrame(wrap_func(self.func.eval)())
-            else:
-                # Create tuples from the input pandas Series, each tuple
-                # represents a row across all Series.
-                row_tuples = zip(*args)
-                for row in row_tuples:
-                    res = wrap_func(self.func.eval)(*row)
-                    if res is not None and not isinstance(res, Iterable):
-                        raise PySparkRuntimeError(
-                            error_class="UDTF_RETURN_NOT_ITERABLE",
-                            message_parameters={
-                                "type": type(res).__name__,
-                            },
-                        )
-                    yield pd.DataFrame(res)
-
-        if hasattr(cls, "terminate"):
-
-            def terminate(self) -> Iterator[pd.DataFrame]:
-                yield pd.DataFrame(wrap_func(self.func.terminate)())
-
-    vectorized_udtf = VectorizedUDTF
-    vectorized_udtf.__name__ = cls.__name__
-    vectorized_udtf.__module__ = cls.__module__
-    vectorized_udtf.__doc__ = cls.__doc__
-    vectorized_udtf.__init__.__doc__ = cls.__init__.__doc__
-    vectorized_udtf.eval.__doc__ = getattr(cls, "eval").__doc__
-    if hasattr(cls, "terminate"):
-        getattr(vectorized_udtf, "terminate").__doc__ = getattr(cls, "terminate").__doc__
-
-    return vectorized_udtf
-
-
 def _validate_udtf_handler(cls: Any) -> None:
     """Validate the handler class of a UDTF."""
 
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index f844a13145562..9463e6d44846e 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -24,7 +24,7 @@
 from inspect import currentframe, getframeinfo, getfullargspec
 import importlib
 import json
-from typing import Iterable, Iterator
+from typing import Any, Iterable, Iterator
 
 # 'resource' is a Unix specific module.
 has_resource_module = True
@@ -601,12 +601,12 @@ def read_udtf(pickleSer, infile, eval_type):
     if eval_type == PythonEvalType.SQL_ARROW_TABLE_UDF:
 
         def wrap_arrow_udtf(f, return_type):
+            import pandas as pd
+
             arrow_return_type = to_arrow_type(return_type)
             return_type_size = len(return_type)
 
             def verify_result(result):
-                import pandas as pd
-
                 if not isinstance(result, pd.DataFrame):
                     raise PySparkTypeError(
                         error_class="INVALID_ARROW_UDTF_RETURN_TYPE",
@@ -636,7 +636,35 @@ def verify_result(result):
                 )
                 return result
 
-            return lambda *a: map(lambda res: (res, arrow_return_type), map(verify_result, f(*a)))
+            # Wrap the exception thrown from the UDTF in a PySparkRuntimeError.
+            def func(*args: Any) -> Any:
+                try:
+                    return f(*args)
+                except Exception as e:
+                    raise PySparkRuntimeError(
+                        error_class="UDTF_EXEC_ERROR",
+                        message_parameters={"method_name": f.__name__, "error": str(e)},
+                    )
+
+            def evaluate(*args: pd.Series):
+                if len(args) == 0:
+                    yield verify_result(pd.DataFrame(func())), arrow_return_type
+                else:
+                    # Create tuples from the input pandas Series, each tuple
+                    # represents a row across all Series.
+                    row_tuples = zip(*args)
+                    for row in row_tuples:
+                        res = func(*row)
+                        if res is not None and not isinstance(res, Iterable):
+                            raise PySparkRuntimeError(
+                                error_class="UDTF_RETURN_NOT_ITERABLE",
+                                message_parameters={
+                                    "type": type(res).__name__,
+                                },
+                            )
+                        yield verify_result(pd.DataFrame(res)), arrow_return_type
+
+            return evaluate
 
         eval = wrap_arrow_udtf(getattr(udtf, "eval"), return_type)
 

From 92ecbaf600b051d6f1938b389d50f04a75bb1b06 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Thu, 17 Aug 2023 13:10:00 +0800
Subject: [PATCH 250/986] [SPARK-44822][PYTHON][SQL] Make Python UDTFs by
 default non-deterministic

This PR changes the default determinism of Python UDTFs from `True` to `False`.

To prevent potential regressions as many Python UDTFs are often used as non-deterministic UDTFs. Users can always mark them as deterministic.

No. Python UDTF is a new feature that is not yet released.

Existing and new tests

Closes #42519 from allisonwang-db/spark-44822-non-det-by-default.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit fce83d499939103aec234827f5df5b51d312cf2c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../docs/source/reference/pyspark.sql/udtf.rst   |  2 +-
 python/pyspark/sql/connect/udtf.py               | 10 +++++-----
 python/pyspark/sql/functions.py                  | 11 +++++------
 python/pyspark/sql/tests/test_udtf.py            | 13 ++++++++++++-
 python/pyspark/sql/udtf.py                       | 10 +++++-----
 .../sql/catalyst/analysis/CheckAnalysis.scala    | 16 ++++++++++++----
 .../analysis/PullOutNondeterministic.scala       |  3 +++
 .../spark/sql/IntegratedUDFTestUtils.scala       |  2 +-
 .../sql/execution/python/PythonUDTFSuite.scala   | 13 +++++++++++++
 9 files changed, 57 insertions(+), 23 deletions(-)

diff --git a/python/docs/source/reference/pyspark.sql/udtf.rst b/python/docs/source/reference/pyspark.sql/udtf.rst
index c251e101bbb3b..64400a257ee0e 100644
--- a/python/docs/source/reference/pyspark.sql/udtf.rst
+++ b/python/docs/source/reference/pyspark.sql/udtf.rst
@@ -25,6 +25,6 @@ UDTF
 .. autosummary::
     :toctree: api/
 
-    udtf.UserDefinedTableFunction.asNondeterministic
+    udtf.UserDefinedTableFunction.asDeterministic
     udtf.UserDefinedTableFunction.returnType
     UDTFRegistration.register
diff --git a/python/pyspark/sql/connect/udtf.py b/python/pyspark/sql/connect/udtf.py
index 1e77e564ebce2..edf3ad4c7a415 100644
--- a/python/pyspark/sql/connect/udtf.py
+++ b/python/pyspark/sql/connect/udtf.py
@@ -50,7 +50,7 @@ def _create_udtf(
     returnType: Union[StructType, str],
     name: Optional[str] = None,
     evalType: int = PythonEvalType.SQL_TABLE_UDF,
-    deterministic: bool = True,
+    deterministic: bool = False,
 ) -> "UserDefinedTableFunction":
     udtf_obj = UserDefinedTableFunction(
         cls, returnType=returnType, name=name, evalType=evalType, deterministic=deterministic
@@ -62,7 +62,7 @@ def _create_py_udtf(
     cls: Type,
     returnType: Union[StructType, str],
     name: Optional[str] = None,
-    deterministic: bool = True,
+    deterministic: bool = False,
     useArrow: Optional[bool] = None,
 ) -> "UserDefinedTableFunction":
     if useArrow is not None:
@@ -121,7 +121,7 @@ def __init__(
         returnType: Union[StructType, str],
         name: Optional[str] = None,
         evalType: int = PythonEvalType.SQL_TABLE_UDF,
-        deterministic: bool = True,
+        deterministic: bool = False,
     ) -> None:
         _validate_udtf_handler(func)
 
@@ -163,8 +163,8 @@ def __call__(self, *cols: "ColumnOrName") -> "DataFrame":
         plan = self._build_common_inline_user_defined_table_function(*cols)
         return DataFrame.withPlan(plan, session)
 
-    def asNondeterministic(self) -> "UserDefinedTableFunction":
-        self.deterministic = False
+    def asDeterministic(self) -> "UserDefinedTableFunction":
+        self.deterministic = True
         return self
 
 
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 0a8eccacbc0c2..c6d6d78802737 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -15605,14 +15605,13 @@ def udtf(
 
     Notes
     -----
-    User-defined table functions (UDTFs) are considered deterministic by default.
-    Use `asNondeterministic()` to mark a function as non-deterministic. E.g.:
+    User-defined table functions (UDTFs) are considered non-deterministic by default.
+    Use `asDeterministic()` to mark a function as deterministic. E.g.:
 
-    >>> import random
-    >>> class RandomUDTF:
+    >>> class PlusOne:
     ...     def eval(self, a: int):
-    ...         yield a * int(random.random() * 100),
-    >>> random_udtf = udtf(RandomUDTF, returnType="r: int").asNondeterministic()
+    ...         yield a + 1,
+    >>> plus_one = udtf(PlusOne, returnType="r: int").asDeterministic()
 
     Use "yield" to produce one row for the UDTF result relation as many times
     as needed. In the context of a lateral join, each such result row will be
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index d152228fc52a8..1ff9e55dd7854 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -432,6 +432,17 @@ def terminate(self):
         with self.assertRaisesRegex(PythonException, err_msg):
             TestUDTF(lit(1)).show()
 
+    def test_udtf_determinism(self):
+        class TestUDTF:
+            def eval(self, a: int):
+                yield a,
+
+        func = udtf(TestUDTF, returnType="x: int")
+        # The UDTF is marked as non-deterministic by default.
+        self.assertFalse(func.deterministic)
+        func = func.asDeterministic()
+        self.assertTrue(func.deterministic)
+
     def test_nondeterministic_udtf(self):
         import random
 
@@ -439,7 +450,7 @@ class RandomUDTF:
             def eval(self, a: int):
                 yield a + int(random.random()),
 
-        random_udtf = udtf(RandomUDTF, returnType="x: int").asNondeterministic()
+        random_udtf = udtf(RandomUDTF, returnType="x: int")
         assertDataFrameEqual(random_udtf(lit(1)), [Row(x=1)])
         self.spark.udtf.register("random_udtf", random_udtf)
         assertDataFrameEqual(self.spark.sql("select * from random_udtf(1)"), [Row(x=1)])
diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index 063fcefd0bf83..c345df1aaabfd 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -58,7 +58,7 @@ def _create_py_udtf(
     cls: Type,
     returnType: Union[StructType, str],
     name: Optional[str] = None,
-    deterministic: bool = True,
+    deterministic: bool = False,
     useArrow: Optional[bool] = None,
 ) -> "UserDefinedTableFunction":
     """Create a regular or an Arrow-optimized Python UDTF."""
@@ -133,7 +133,7 @@ def __init__(
         returnType: Union[StructType, str],
         name: Optional[str] = None,
         evalType: int = PythonEvalType.SQL_TABLE_UDF,
-        deterministic: bool = True,
+        deterministic: bool = False,
     ):
         _validate_udtf_handler(func)
 
@@ -218,13 +218,13 @@ def __call__(self, *cols: "ColumnOrName") -> "DataFrame":
         jPythonUDTF = judtf.apply(spark._jsparkSession, _to_seq(sc, cols, _to_java_column))
         return DataFrame(jPythonUDTF, spark)
 
-    def asNondeterministic(self) -> "UserDefinedTableFunction":
+    def asDeterministic(self) -> "UserDefinedTableFunction":
         """
-        Updates UserDefinedTableFunction to nondeterministic.
+        Updates UserDefinedTableFunction to deterministic.
         """
         # Explicitly clean the cache to create a JVM UDTF instance.
         self._judtf_placeholder = None
-        self.deterministic = False
+        self.deterministic = True
         return self
 
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index e063acaada5ff..43546bcaa421a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -1029,10 +1029,18 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
         // A lateral join with a multi-row outer query and a non-deterministic lateral subquery
         // cannot be decorrelated. Otherwise it may produce incorrect results.
         if (!expr.deterministic && !join.left.maxRows.exists(_ <= 1)) {
-          expr.failAnalysis(
-            errorClass = "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY." +
-              "NON_DETERMINISTIC_LATERAL_SUBQUERIES",
-            messageParameters = Map("treeNode" -> planToString(plan)))
+          cleanQueryInScalarSubquery(join.right.plan) match {
+            // Python UDTFs are by default non-deterministic. They are constructed as a
+            // OneRowRelation subquery and can be rewritten by the optimizer without
+            // any decorrelation.
+            case Generate(_: PythonUDTF, _, _, _, _, _: OneRowRelation)
+              if SQLConf.get.getConf(SQLConf.OPTIMIZE_ONE_ROW_RELATION_SUBQUERY) =>  // Ok
+            case _ =>
+              expr.failAnalysis(
+                errorClass = "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY." +
+                  "NON_DETERMINISTIC_LATERAL_SUBQUERIES",
+                messageParameters = Map("treeNode" -> planToString(plan)))
+          }
         }
         // Check if the lateral join's join condition is deterministic.
         if (join.condition.exists(!_.deterministic)) {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/PullOutNondeterministic.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/PullOutNondeterministic.scala
index 3431c9327f1d5..3955142166831 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/PullOutNondeterministic.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/PullOutNondeterministic.scala
@@ -44,6 +44,9 @@ object PullOutNondeterministic extends Rule[LogicalPlan] {
     // and we want to retain them inside the aggregate functions.
     case m: CollectMetrics => m
 
+    // Skip PythonUDTF as it will be planned as its own dedicated logical and physical node.
+    case g @ Generate(_: PythonUDTF, _, _, _, _, _) => g
+
     // todo: It's hard to write a general rule to pull out nondeterministic expressions
     // from LogicalPlan, currently we only do it for UnaryNode which has same output
     // schema with its child.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
index ad52b6bab5b30..171a203a2d50c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
@@ -393,7 +393,7 @@ object IntegratedUDFTestUtils extends SQLHelper {
       pythonScript: String,
       returnType: StructType,
       evalType: Int = PythonEvalType.SQL_TABLE_UDF,
-      deterministic: Boolean = true): UserDefinedPythonTableFunction = {
+      deterministic: Boolean = false): UserDefinedPythonTableFunction = {
     UserDefinedPythonTableFunction(
       name = name,
       func = SimplePythonFunction(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
index f38c32862f127..67d33c6ecdffd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.python
 import org.apache.spark.api.python.PythonEvalType
 import org.apache.spark.sql.{IntegratedUDFTestUtils, QueryTest, Row}
 import org.apache.spark.sql.functions.lit
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types.StructType
 
@@ -107,4 +108,16 @@ class PythonUDTFSuite extends QueryTest with SharedSparkSession {
         sql("SELECT * FROM t, LATERAL explode(array(a + b, a - b, b - a)) t(c)"))
     }
   }
+
+  test("non-deterministic UDTF should pass check analysis") {
+    assume(shouldTestPythonUDFs)
+    withSQLConf(SQLConf.OPTIMIZE_ONE_ROW_RELATION_SUBQUERY.key -> "true") {
+      spark.udtf.registerPython("testUDTF", pythonUDTF)
+      withTempView("t") {
+        Seq((0, 1), (1, 2)).toDF("a", "b").createOrReplaceTempView("t")
+        val df = sql("SELECT f.* FROM t, LATERAL testUDTF(a, b) f")
+        df.queryExecution.assertAnalyzed()
+      }
+    }
+  }
 }

From 122d982143f1ae1f2447701c6a7877cbf8bef4f0 Mon Sep 17 00:00:00 2001
From: Alice Sayutina <alice.sayutina@databricks.com>
Date: Thu, 17 Aug 2023 09:56:57 +0200
Subject: [PATCH 251/986] [SPARK-44721][CONNECT] Revamp retry logic and make
 retries run for 10 minutes

### What changes were proposed in this pull request?

Change retry logic. For existing retry logic the maximum allowed wait time can be extremely low and even zero with small probability.

This happens, because it waits random(0, T) for T in exponentialBackoff(). Revamp the logic to guarantee the minimum wait time of 10 minutes. Also synchronize retry behavior among python and scala.

### Why are the changes needed?

This avoids certain class of client errors where client simply doesn't wait long enough.

### Does this PR introduce _any_ user-facing change?
Changes are small from user perspective. The retries are running longer and smoother.

### How was this patch tested?
UT

Closes #42399 from cdkrot/revamp_retry_logic.

Lead-authored-by: Alice Sayutina <alice.sayutina@databricks.com>
Co-authored-by: Alice Sayutina <cdkrot0@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4952a03fdc22b36c1fb5bead09c5e2cc8b4602b8)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 ...cutePlanResponseReattachableIterator.scala |   4 +-
 .../sql/connect/client/GrpcRetryHandler.scala |  84 ++++++++++-----
 .../client/SparkConnectClientSuite.scala      |  26 ++++-
 python/pyspark/errors/error_classes.py        |   5 -
 python/pyspark/sql/connect/client/core.py     | 102 +++++++++---------
 .../sql/tests/connect/client/test_client.py   |  24 +++++
 .../sql/tests/connect/test_connect_basic.py   |  12 +++
 7 files changed, 170 insertions(+), 87 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 5ef1151682b1d..aeb452faecf5f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -301,6 +301,6 @@ class ExecutePlanResponseReattachableIterator(
   /**
    * Retries the given function with exponential backoff according to the client's retryPolicy.
    */
-  private def retry[T](fn: => T, currentRetryNum: Int = 0): T =
-    GrpcRetryHandler.retry(retryPolicy)(fn, currentRetryNum)
+  private def retry[T](fn: => T): T =
+    GrpcRetryHandler.retry(retryPolicy)(fn)
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 6dad5b4b3a9b4..8b6f070b8f5b9 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -17,8 +17,8 @@
 
 package org.apache.spark.sql.connect.client
 
-import scala.annotation.tailrec
-import scala.concurrent.duration.FiniteDuration
+import scala.concurrent.duration.{Duration, FiniteDuration}
+import scala.util.Random
 import scala.util.control.NonFatal
 
 import io.grpc.{Status, StatusRuntimeException}
@@ -26,13 +26,15 @@ import io.grpc.stub.StreamObserver
 
 import org.apache.spark.internal.Logging
 
-private[client] class GrpcRetryHandler(private val retryPolicy: GrpcRetryHandler.RetryPolicy) {
+private[client] class GrpcRetryHandler(
+    private val retryPolicy: GrpcRetryHandler.RetryPolicy,
+    private val sleep: Long => Unit = Thread.sleep) {
 
   /**
    * Retries the given function with exponential backoff according to the client's retryPolicy.
    */
-  def retry[T](fn: => T, currentRetryNum: Int = 0): T =
-    GrpcRetryHandler.retry(retryPolicy)(fn, currentRetryNum)
+  def retry[T](fn: => T): T =
+    GrpcRetryHandler.retry(retryPolicy, sleep)(fn)
 
   /**
    * Generalizes the retry logic for RPC calls that return an iterator.
@@ -148,37 +150,62 @@ private[client] object GrpcRetryHandler extends Logging {
 
   /**
    * Retries the given function with exponential backoff according to the client's retryPolicy.
+   *
    * @param retryPolicy
    *   The retry policy
+   * @param sleep
+   *   The function which sleeps (takes number of milliseconds to sleep)
    * @param fn
    *   The function to retry.
-   * @param currentRetryNum
-   *   Current number of retries.
    * @tparam T
    *   The return type of the function.
    * @return
    *   The result of the function.
    */
-  @tailrec final def retry[T](retryPolicy: RetryPolicy)(fn: => T, currentRetryNum: Int = 0): T = {
-    if (currentRetryNum > retryPolicy.maxRetries) {
-      throw new IllegalArgumentException(
-        s"The number of retries ($currentRetryNum) must not exceed " +
-          s"the maximum number of retires (${retryPolicy.maxRetries}).")
+  final def retry[T](retryPolicy: RetryPolicy, sleep: Long => Unit = Thread.sleep)(
+      fn: => T): T = {
+    var currentRetryNum = 0
+    var exceptionList: Seq[Throwable] = Seq.empty
+    var nextBackoff: Duration = retryPolicy.initialBackoff
+
+    if (retryPolicy.maxRetries < 0) {
+      throw new IllegalArgumentException("Can't have negative number of retries")
     }
-    try {
-      return fn
-    } catch {
-      case NonFatal(e)
-          if (retryPolicy.canRetry(e) || e.isInstanceOf[RetryException])
-            && currentRetryNum < retryPolicy.maxRetries =>
-        logWarning(
-          s"Non fatal error during RPC execution: $e, " +
-            s"retrying (currentRetryNum=$currentRetryNum)")
-        Thread.sleep(
-          (retryPolicy.maxBackoff min retryPolicy.initialBackoff * Math
-            .pow(retryPolicy.backoffMultiplier, currentRetryNum)).toMillis)
+
+    while (currentRetryNum <= retryPolicy.maxRetries) {
+      if (currentRetryNum != 0) {
+        var currentBackoff = nextBackoff
+        nextBackoff = nextBackoff * retryPolicy.backoffMultiplier min retryPolicy.maxBackoff
+
+        if (currentBackoff >= retryPolicy.minJitterThreshold) {
+          currentBackoff += Random.nextDouble() * retryPolicy.jitter
+        }
+
+        sleep(currentBackoff.toMillis)
+      }
+
+      try {
+        return fn
+      } catch {
+        case NonFatal(e) if retryPolicy.canRetry(e) && currentRetryNum < retryPolicy.maxRetries =>
+          currentRetryNum += 1
+          exceptionList = e +: exceptionList
+
+          if (currentRetryNum <= retryPolicy.maxRetries) {
+            logWarning(
+              s"Non-Fatal error during RPC execution: $e, " +
+                s"retrying (currentRetryNum=$currentRetryNum)")
+          } else {
+            logWarning(
+              s"Non-Fatal error during RPC execution: $e, " +
+                s"exceeded retries (currentRetryNum=$currentRetryNum)")
+          }
+      }
     }
-    retry(retryPolicy)(fn, currentRetryNum + 1)
+
+    val exception = exceptionList.head
+    exceptionList.tail.foreach(exception.addSuppressed(_))
+    throw exception
   }
 
   /**
@@ -210,10 +237,17 @@ private[client] object GrpcRetryHandler extends Logging {
    *   Function that determines whether a retry is to be performed in the event of an error.
    */
   case class RetryPolicy(
+      // Please synchronize changes here with Python side:
+      // pyspark/sql/connect/client/core.py
+      //
+      // Note: these constants are selected so that the maximum tolerated wait is guaranteed
+      // to be at least 10 minutes
       maxRetries: Int = 15,
       initialBackoff: FiniteDuration = FiniteDuration(50, "ms"),
       maxBackoff: FiniteDuration = FiniteDuration(1, "min"),
       backoffMultiplier: Double = 4.0,
+      jitter: FiniteDuration = FiniteDuration(500, "ms"),
+      minJitterThreshold: FiniteDuration = FiniteDuration(2, "s"),
       canRetry: Throwable => Boolean = retryException) {}
 
   /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index e483e0a7291bd..6348e0e49ca3d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -220,10 +220,10 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
     }
   }
 
-  private class DummyFn(val e: Throwable) {
+  private class DummyFn(val e: Throwable, numFails: Int = 3) {
     var counter = 0
     def fn(): Int = {
-      if (counter < 3) {
+      if (counter < numFails) {
         counter += 1
         throw e
       } else {
@@ -232,6 +232,28 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
     }
   }
 
+  test("SPARK-44721: Retries run for a minimum period") {
+    // repeat test few times to avoid random flakes
+    for (_ <- 1 to 10) {
+      var totalSleepMs: Long = 0
+
+      def sleep(t: Long): Unit = {
+        totalSleepMs += t
+      }
+
+      val dummyFn = new DummyFn(new StatusRuntimeException(Status.UNAVAILABLE), numFails = 100)
+      val retryHandler = new GrpcRetryHandler(GrpcRetryHandler.RetryPolicy(), sleep)
+
+      assertThrows[StatusRuntimeException] {
+        retryHandler.retry {
+          dummyFn.fn()
+        }
+      }
+
+      assert(totalSleepMs >= 10 * 60 * 1000) // waited at least 10 minutes
+    }
+  }
+
   test("SPARK-44275: retry actually retries") {
     val dummyFn = new DummyFn(new StatusRuntimeException(Status.UNAVAILABLE))
     val retryPolicy = GrpcRetryHandler.RetryPolicy()
diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 279812ebae159..4709f01ba0664 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -231,11 +231,6 @@
       "Duplicated field names in Arrow Struct are not allowed, got <field_names>"
     ]
   },
-  "EXCEED_RETRY" : {
-    "message" : [
-      "Retries exceeded but no exception caught."
-    ]
-  },
   "HIGHER_ORDER_FUNCTION_SHOULD_RETURN_COLUMN" : {
     "message" : [
       "Function `<func_name>` should return Column, got <return_type>."
diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 3e0a35ba92659..c2889c10e41a6 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -92,7 +92,7 @@
 from pyspark.sql.types import DataType, StructType, TimestampType, _has_type
 from pyspark.rdd import PythonEvalType
 from pyspark.storagelevel import StorageLevel
-from pyspark.errors import PySparkValueError, PySparkRuntimeError
+from pyspark.errors import PySparkValueError
 
 
 if TYPE_CHECKING:
@@ -638,10 +638,17 @@ def __init__(
         )
         self._user_id = None
         self._retry_policy = {
+            # Please synchronize changes here with Scala side
+            # GrpcRetryHandler.scala
+            #
+            # Note: the number of retries is selected so that the maximum tolerated wait
+            # is guaranteed to be at least 10 minutes
             "max_retries": 15,
-            "backoff_multiplier": 4,
+            "backoff_multiplier": 4.0,
             "initial_backoff": 50,
             "max_backoff": 60000,
+            "jitter": 500,
+            "min_jitter_threshold": 2000,
         }
         if retry_policy:
             self._retry_policy.update(retry_policy)
@@ -669,6 +676,11 @@ def __init__(
         self._use_reattachable_execute = use_reattachable_execute
         # Configure logging for the SparkConnect client.
 
+    def _retrying(self) -> "Retrying":
+        return Retrying(
+            can_retry=SparkConnectClient.retry_exception, **self._retry_policy  # type: ignore
+        )
+
     def disable_reattachable_execute(self) -> "SparkConnectClient":
         self._use_reattachable_execute = False
         return self
@@ -1090,9 +1102,7 @@ def _analyze(self, method: str, **kwargs: Any) -> AnalyzeResult:
             )
 
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
+            for attempt in self._retrying():
                 with attempt:
                     resp = self._stub.AnalyzePlan(req, metadata=self._builder.metadata())
                     if resp.session_id != self._session_id:
@@ -1133,9 +1143,7 @@ def handle_response(b: pb2.ExecutePlanResponse) -> None:
                 for b in generator:
                     handle_response(b)
             else:
-                for attempt in Retrying(
-                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-                ):
+                for attempt in self._retrying():
                     with attempt:
                         for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
                             handle_response(b)
@@ -1220,9 +1228,7 @@ def handle_response(
                 for b in generator:
                     yield from handle_response(b)
             else:
-                for attempt in Retrying(
-                    can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-                ):
+                for attempt in self._retrying():
                     with attempt:
                         for b in self._stub.ExecutePlan(req, metadata=self._builder.metadata()):
                             yield from handle_response(b)
@@ -1331,9 +1337,7 @@ def config(self, operation: pb2.ConfigRequest.Operation) -> ConfigResult:
         req = self._config_request_with_metadata()
         req.operation.CopyFrom(operation)
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
+            for attempt in self._retrying():
                 with attempt:
                     resp = self._stub.Config(req, metadata=self._builder.metadata())
                     if resp.session_id != self._session_id:
@@ -1376,9 +1380,7 @@ def _interrupt_request(
     def interrupt_all(self) -> Optional[List[str]]:
         req = self._interrupt_request("all")
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
+            for attempt in self._retrying():
                 with attempt:
                     resp = self._stub.Interrupt(req, metadata=self._builder.metadata())
                     if resp.session_id != self._session_id:
@@ -1394,9 +1396,7 @@ def interrupt_all(self) -> Optional[List[str]]:
     def interrupt_tag(self, tag: str) -> Optional[List[str]]:
         req = self._interrupt_request("tag", tag)
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
+            for attempt in self._retrying():
                 with attempt:
                     resp = self._stub.Interrupt(req, metadata=self._builder.metadata())
                     if resp.session_id != self._session_id:
@@ -1412,9 +1412,7 @@ def interrupt_tag(self, tag: str) -> Optional[List[str]]:
     def interrupt_operation(self, op_id: str) -> Optional[List[str]]:
         req = self._interrupt_request("operation", op_id)
         try:
-            for attempt in Retrying(
-                can_retry=SparkConnectClient.retry_exception, **self._retry_policy
-            ):
+            for attempt in self._retrying():
                 with attempt:
                     resp = self._stub.Interrupt(req, metadata=self._builder.metadata())
                     if resp.session_id != self._session_id:
@@ -1538,12 +1536,14 @@ def __init__(self) -> None:
         self._done = False
         self._count = 0
 
-    def set_exception(self, exc: Optional[BaseException]) -> None:
+    def set_exception(self, exc: BaseException) -> None:
         self._exception = exc
         self._count += 1
 
-    def exception(self) -> Optional[BaseException]:
-        return self._exception
+    def throw(self) -> None:
+        if self._exception is None:
+            raise RuntimeError("No exception is set")
+        raise self._exception
 
     def set_done(self) -> None:
         self._done = True
@@ -1614,13 +1614,19 @@ def __init__(
         initial_backoff: int,
         max_backoff: int,
         backoff_multiplier: float,
+        jitter: int,
+        min_jitter_threshold: int,
         can_retry: Callable[..., bool] = lambda x: True,
+        sleep: Callable[[float], None] = time.sleep,
     ) -> None:
         self._can_retry = can_retry
         self._max_retries = max_retries
         self._initial_backoff = initial_backoff
         self._max_backoff = max_backoff
         self._backoff_multiplier = backoff_multiplier
+        self._jitter = jitter
+        self._min_jitter_threshold = min_jitter_threshold
+        self._sleep = sleep
 
     def __iter__(self) -> Generator[AttemptManager, None, None]:
         """
@@ -1631,35 +1637,25 @@ def __iter__(self) -> Generator[AttemptManager, None, None]:
         A generator that yields the current attempt.
         """
         retry_state = RetryState()
-        while True:
-            # Check if the operation was completed successfully.
-            if retry_state.done():
-                break
-
-            # If the number of retries have exceeded the maximum allowed retries.
-            if retry_state.count() > self._max_retries:
-                e = retry_state.exception()
-                if e is not None:
-                    raise e
-                else:
-                    raise PySparkRuntimeError(
-                        error_class="EXCEED_RETRY",
-                        message_parameters={},
-                    )
+        next_backoff: float = self._initial_backoff
+
+        if self._max_retries < 0:
+            raise ValueError("Can't have negative number of retries")
 
+        while not retry_state.done() and retry_state.count() <= self._max_retries:
             # Do backoff
             if retry_state.count() > 0:
-                backoff = random.randrange(
-                    0,
-                    int(
-                        min(
-                            self._initial_backoff * self._backoff_multiplier ** retry_state.count(),
-                            self._max_backoff,
-                        )
-                    ),
-                )
-                logger.debug(f"Retrying call after {backoff} ms sleep")
-                # Pythons sleep takes seconds as arguments.
-                time.sleep(backoff / 1000.0)
+                # Randomize backoff for this iteration
+                backoff = next_backoff
+                next_backoff = min(self._max_backoff, next_backoff * self._backoff_multiplier)
 
+                if backoff >= self._min_jitter_threshold:
+                    backoff += random.uniform(0, self._jitter)
+
+                logger.debug(f"Retrying call after {backoff} ms sleep")
+                self._sleep(backoff / 1000.0)
             yield AttemptManager(self._can_retry, retry_state)
+
+        if not retry_state.done():
+            # Exceeded number of retries, throw last exception we had
+            retry_state.throw()
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index 9782add92f47d..98f68767b8bca 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -23,6 +23,9 @@
 import pyspark.sql.connect.proto as proto
 from pyspark.testing.connectutils import should_test_connect, connect_requirement_message
 
+from pyspark.sql.connect.client.core import Retrying
+from pyspark.sql.connect.client.reattach import RetryException
+
 if should_test_connect:
     import pandas as pd
     import pyarrow as pa
@@ -89,6 +92,27 @@ def test_is_closed(self):
         client.close()
         self.assertTrue(client.is_closed)
 
+    def test_retry(self):
+        client = SparkConnectClient("sc://foo/;token=bar")
+
+        total_sleep = 0
+
+        def sleep(t):
+            nonlocal total_sleep
+            total_sleep += t
+
+        try:
+            for attempt in Retrying(
+                can_retry=SparkConnectClient.retry_exception, sleep=sleep, **client._retry_policy
+            ):
+                with attempt:
+                    raise RetryException()
+        except RetryException:
+            pass
+
+        # tolerated at least 10 mins of fails
+        self.assertGreaterEqual(total_sleep, 600)
+
     def test_channel_builder_with_session(self):
         dummy = str(uuid.uuid4())
         chan = ChannelBuilder(f"sc://foo/;session_id={dummy}")
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index c1527365fce23..9e8f562397180 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -3372,6 +3372,8 @@ def stub(retries, w, code):
             backoff_multiplier=1,
             initial_backoff=1,
             max_backoff=10,
+            jitter=0,
+            min_jitter_threshold=0,
         ):
             with attempt:
                 stub(2, call_wrap, grpc.StatusCode.INTERNAL)
@@ -3387,6 +3389,8 @@ def stub(retries, w, code):
             backoff_multiplier=1,
             initial_backoff=1,
             max_backoff=10,
+            jitter=0,
+            min_jitter_threshold=0,
         ):
             with attempt:
                 stub(2, call_wrap, grpc.StatusCode.INTERNAL)
@@ -3403,6 +3407,8 @@ def stub(retries, w, code):
                 max_backoff=50,
                 backoff_multiplier=1,
                 initial_backoff=50,
+                jitter=0,
+                min_jitter_threshold=0,
             ):
                 with attempt:
                     stub(5, call_wrap, grpc.StatusCode.INTERNAL)
@@ -3419,6 +3425,8 @@ def stub(retries, w, code):
             backoff_multiplier=1,
             initial_backoff=1,
             max_backoff=10,
+            jitter=0,
+            min_jitter_threshold=0,
         ):
             with attempt:
                 stub(2, call_wrap, grpc.StatusCode.UNAVAILABLE)
@@ -3435,6 +3443,8 @@ def stub(retries, w, code):
                 max_backoff=50,
                 backoff_multiplier=1,
                 initial_backoff=50,
+                jitter=0,
+                min_jitter_threshold=0,
             ):
                 with attempt:
                     stub(5, call_wrap, grpc.StatusCode.UNAVAILABLE)
@@ -3451,6 +3461,8 @@ def stub(retries, w, code):
                 backoff_multiplier=1,
                 initial_backoff=1,
                 max_backoff=10,
+                jitter=0,
+                min_jitter_threshold=0,
             ):
                 with attempt:
                     stub(5, call_wrap, grpc.StatusCode.INTERNAL)

From 15bb95564b6f2a3e76996062155ea029438ab4bb Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Thu, 17 Aug 2023 17:05:58 +0200
Subject: [PATCH 252/986] [SPARK-44806][CONNECT] Move internal client
 spark-connect-common to be able to test real in-process server with a real
 RPC client

### What changes were proposed in this pull request?

Currently, Spark Connect has the following types of integration tests:
* Client unit tests with a mock in process server (DummySparkConnectService with GRPC InProcessServerBuilder)
* Client unit tests with a mock RPC server (DummySparkConnectService with GRPC NettyServerBuilder)
* Server unit tests with in-process server and using various mocks
* E2E tests of real client with a server started in another process (using RemoteSparkSession)

What is lacking are E2E tests with an in-process Server (so that server state can be inspected asserted), and a real RPC client. This is impossible, because classes from `spark-connect-client-jvm` module include the client API which duplicates Spark SQL APIs of SparkSession, Dataset etc. When trying to pull a real client into the server module for testing, these classes clash.

Move the `org.apache.spark.sql.connect.client` code into `spark-connect-common` module, so that the internal SparkConnectClient code is separated from the client public API, and can be pulled into testing of the server. The only class that we keep in `spark-connect-client-jvm` is `AmmoniteClassFinder`, to avoid pulling in ammonite dependency into common.

Tried alternative approach in https://github.com/apache/spark/pull/42465. That doesn't work, because it also reorders the maven build in a way so that client is build before server, but client actually requires server to be build first to use tests with `RemoteSparkSession`
Tried alternative approach to depend on a shaded/relocated version of client in https://github.com/apache/spark/pull/42461, but that's just not possible to do neither in maven nor sbt.
Tried alternative approach to create client-jvm-internal module in https://github.com/apache/spark/pull/42441, moving things to connect-common was preferred to introducing new module by reviewers.
Moved it together with tests in https://github.com/apache/spark/pull/42501, but moving tests isn't really needed.

### Why are the changes needed?

For being able to use the internal client for testing of in-process server with an in-process client, but communicating over real RPC.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

All modules test and build.

Closes #42523 from juliuszsompolski/sc-client-common-mainonly.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 72a466835a4490257eec0c9af2bbc9291c46de1e)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../connect/client/AmmoniteClassFinder.scala  | 45 +++++++++++++++++++
 connector/connect/common/pom.xml              | 12 +++++
 .../client/arrow/ScalaCollectionUtils.scala   |  0
 .../client/arrow/ScalaCollectionUtils.scala   |  0
 .../sql/connect/client/ArtifactManager.scala  |  0
 .../sql/connect/client/ClassFinder.scala      | 27 +----------
 .../connect/client/CloseableIterator.scala    |  0
 .../CustomSparkConnectBlockingStub.scala      |  0
 .../client/CustomSparkConnectStub.scala       |  0
 ...cutePlanResponseReattachableIterator.scala |  0
 .../client/GrpcExceptionConverter.scala       |  2 +-
 .../sql/connect/client/GrpcRetryHandler.scala |  0
 .../connect/client/SparkConnectClient.scala   |  0
 .../client/SparkConnectClientParser.scala     |  0
 .../sql/connect/client/SparkResult.scala      |  0
 .../client/arrow/ArrowDeserializer.scala      |  0
 .../client/arrow/ArrowEncoderUtils.scala      |  0
 .../client/arrow/ArrowSerializer.scala        |  0
 .../client/arrow/ArrowVectorReader.scala      |  0
 .../ConcatenatingArrowStreamReader.scala      |  0
 .../spark/sql/connect/client/package.scala    |  0
 .../sql/connect/client/util/Cleaner.scala     |  0
 22 files changed, 59 insertions(+), 27 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/AmmoniteClassFinder.scala
 rename connector/connect/{client/jvm => common}/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala (66%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectStub.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala (98%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/package.scala (100%)
 rename connector/connect/{client/jvm => common}/src/main/scala/org/apache/spark/sql/connect/client/util/Cleaner.scala (100%)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/AmmoniteClassFinder.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/AmmoniteClassFinder.scala
new file mode 100644
index 0000000000000..4ebc22202b0b7
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/AmmoniteClassFinder.scala
@@ -0,0 +1,45 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client
+
+import java.net.URL
+import java.nio.file.Paths
+
+import ammonite.repl.api.Session
+import ammonite.runtime.SpecialClassLoader
+
+/**
+ * A special [[ClassFinder]] for the Ammonite REPL to handle in-memory class files.
+ *
+ * @param session
+ */
+class AmmoniteClassFinder(session: Session) extends ClassFinder {
+
+  override def findClasses(): Iterator[Artifact] = {
+    session.frames.iterator.flatMap { frame =>
+      val classloader = frame.classloader.asInstanceOf[SpecialClassLoader]
+      val signatures: Seq[(Either[String, URL], Long)] = classloader.classpathSignature
+      signatures.iterator.collect { case (Left(name), _) =>
+        val parts = name.split('.')
+        parts(parts.length - 1) += ".class"
+        val path = Paths.get(parts.head, parts.tail: _*)
+        val bytes = classloader.newFileDict(name)
+        Artifact.newClassArtifact(path, new Artifact.InMemory(bytes))
+      }
+    }
+  }
+}
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index df8972b832d64..fb261c284d9bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -49,6 +49,18 @@
             <artifactId>protobuf-java</artifactId>
             <scope>compile</scope>
         </dependency>
+        <dependency>
+            <groupId>com.google.guava</groupId>
+            <artifactId>guava</artifactId>
+            <version>${connect.guava.version}</version>
+            <scope>compile</scope>
+        </dependency>
+        <dependency>
+            <groupId>com.google.guava</groupId>
+            <artifactId>failureaccess</artifactId>
+            <version>${guava.failureaccess.version}</version>
+            <scope>compile</scope>
+        </dependency>
         <dependency>
             <groupId>io.grpc</groupId>
             <artifactId>grpc-netty</artifactId>
diff --git a/connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala b/connector/connect/common/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
rename to connector/connect/common/src/main/scala-2.12/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
diff --git a/connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala b/connector/connect/common/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
rename to connector/connect/common/src/main/scala-2.13/org/apache/spark/sql/connect/client/arrow/ScalaCollectionUtils.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala
similarity index 66%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala
index 0371d42f2d629..ff6473bfcb1fa 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala
@@ -17,15 +17,11 @@
 
 package org.apache.spark.sql.connect.client
 
-import java.net.URL
 import java.nio.file.{Files, LinkOption, Path, Paths}
 
 import scala.collection.JavaConverters._
 
-import ammonite.repl.api.Session
-import ammonite.runtime.SpecialClassLoader
-
-import org.apache.spark.sql.connect.client.Artifact.{InMemory, LocalFile}
+import org.apache.spark.sql.connect.client.Artifact.LocalFile
 
 trait ClassFinder {
   def findClasses(): Iterator[Artifact]
@@ -57,24 +53,3 @@ class REPLClassDirMonitor(_rootDir: String) extends ClassFinder {
 
   private def isClass(path: Path): Boolean = path.toString.endsWith(".class")
 }
-
-/**
- * A special [[ClassFinder]] for the Ammonite REPL to handle in-memory class files.
- * @param session
- */
-class AmmoniteClassFinder(session: Session) extends ClassFinder {
-
-  override def findClasses(): Iterator[Artifact] = {
-    session.frames.iterator.flatMap { frame =>
-      val classloader = frame.classloader.asInstanceOf[SpecialClassLoader]
-      val signatures: Seq[(Either[String, URL], Long)] = classloader.classpathSignature
-      signatures.iterator.collect { case (Left(name), _) =>
-        val parts = name.split('.')
-        parts(parts.length - 1) += ".class"
-        val path = Paths.get(parts.head, parts.tail: _*)
-        val bytes = classloader.newFileDict(name)
-        Artifact.newClassArtifact(path, new InMemory(bytes))
-      }
-    }
-  }
-}
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectStub.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectStub.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectStub.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectStub.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
similarity index 98%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index 64d1e5c488ab4..9b8181cb88f31 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -16,7 +16,7 @@
  */
 package org.apache.spark.sql.connect.client
 
-import scala.jdk.CollectionConverters._
+import scala.collection.JavaConverters._
 import scala.reflect.ClassTag
 
 import com.google.rpc.ErrorInfo
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderUtils.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowSerializer.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowVectorReader.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ConcatenatingArrowStreamReader.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/package.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/package.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/package.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/package.scala
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/util/Cleaner.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/util/Cleaner.scala
similarity index 100%
rename from connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/util/Cleaner.scala
rename to connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/util/Cleaner.scala

From 893940db79500d7faf3263cd75b96a814aa0f279 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Thu, 17 Aug 2023 17:49:28 +0200
Subject: [PATCH 253/986] [SPARK-44849] Expose
 SparkConnectExecutionManager.listActiveExecutions

### What changes were proposed in this pull request?

Make list of active executions accessible via SparkConnectService.listActiveExecutions

### Why are the changes needed?

Some internal components outside `connect` would like to have access to that. Add a method to expose it.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

CI

Closes #42535 from juliuszsompolski/SPARK-44849.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 047b2247879cc3f5fd9b78366a73edbf62994811)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/connect/service/SparkConnectService.scala     | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index 15a7782c367fe..e8af2acfd2e27 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -347,6 +347,12 @@ object SparkConnectService extends Logging {
     userSessionMapping.get((userId, sessionId), default)
   }
 
+  /**
+   * If there are no executions, return Left with System.currentTimeMillis of last active
+   * execution. Otherwise return Right with list of ExecuteInfo of all executions.
+   */
+  def listActiveExecutions: Either[Long, Seq[ExecuteInfo]] = executionManager.listActiveExecutions
+
   /**
    * Used for testing
    */

From e473d892bf3c9b5d4ff6bdb192553b44b2277279 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Thu, 17 Aug 2023 10:38:01 -0700
Subject: [PATCH 254/986] [SPARK-44834][PYTHON][SQL][TESTS] Add SQL query tests
 for Python UDTFs

### What changes were proposed in this pull request?

This PR adds a new sql query test suite for running Python UDTFs in SQL. You can trigger the test using
```
 SPARK_GENERATE_GOLDEN_FILES=1 build/sbt "sql/testOnly *SQLQueryTestSuite -- -z udtf/udtf.sql"
```

### Why are the changes needed?

To add more test cases for Python UDTFs.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added new golden file tests.

Closes #42517 from allisonwang-db/spark-44834-udtf-sql-test.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit be04ac1ace91f6da34b08a1510e41d3ab6f0377b)
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 .../analyzer-results/udtf/udtf.sql.out        | 96 +++++++++++++++++++
 .../resources/sql-tests/inputs/udtf/udtf.sql  | 18 ++++
 .../sql-tests/results/udtf/udtf.sql.out       | 85 ++++++++++++++++
 .../spark/sql/IntegratedUDFTestUtils.scala    | 40 ++++++++
 .../apache/spark/sql/SQLQueryTestSuite.scala  | 28 ++++++
 .../ThriftServerQueryTestSuite.scala          |  2 +
 6 files changed, 269 insertions(+)
 create mode 100644 sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
 create mode 100644 sql/core/src/test/resources/sql-tests/inputs/udtf/udtf.sql
 create mode 100644 sql/core/src/test/resources/sql-tests/results/udtf/udtf.sql.out

diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
new file mode 100644
index 0000000000000..acf96794378e1
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
@@ -0,0 +1,96 @@
+-- Automatically generated by SQLQueryTestSuite
+-- !query
+CREATE OR REPLACE TEMPORARY VIEW t1 AS VALUES (0, 1), (1, 2) t(c1, c2)
+-- !query analysis
+CreateViewCommand `t1`, VALUES (0, 1), (1, 2) t(c1, c2), false, true, LocalTempView, true
+   +- SubqueryAlias t
+      +- LocalRelation [c1#x, c2#x]
+
+
+-- !query
+SELECT * FROM udtf(1, 2)
+-- !query analysis
+Project [x#x, y#x]
++- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT * FROM udtf(-1, 0)
+-- !query analysis
+Project [x#x, y#x]
++- Generate TestUDTF(-1, 0)#x, false, [x#x, y#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT * FROM udtf(0, -1)
+-- !query analysis
+Project [x#x, y#x]
++- Generate TestUDTF(0, -1)#x, false, [x#x, y#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT * FROM udtf(0, 0)
+-- !query analysis
+Project [x#x, y#x]
++- Generate TestUDTF(0, 0)#x, false, [x#x, y#x]
+   +- OneRowRelation
+
+
+-- !query
+SELECT a, b FROM udtf(1, 2) t(a, b)
+-- !query analysis
+Project [a#x, b#x]
++- SubqueryAlias t
+   +- Project [x#x AS a#x, y#x AS b#x]
+      +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
+         +- OneRowRelation
+
+
+-- !query
+SELECT * FROM t1, LATERAL udtf(c1, c2)
+-- !query analysis
+Project [c1#x, c2#x, x#x, y#x]
++- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
+   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
+   :     +- OneRowRelation
+   +- SubqueryAlias t1
+      +- View (`t1`, [c1#x,c2#x])
+         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
+            +- SubqueryAlias t
+               +- LocalRelation [c1#x, c2#x]
+
+
+-- !query
+SELECT * FROM t1 LEFT JOIN LATERAL udtf(c1, c2)
+-- !query analysis
+Project [c1#x, c2#x, x#x, y#x]
++- LateralJoin lateral-subquery#x [c1#x && c2#x], LeftOuter
+   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
+   :     +- OneRowRelation
+   +- SubqueryAlias t1
+      +- View (`t1`, [c1#x,c2#x])
+         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
+            +- SubqueryAlias t
+               +- LocalRelation [c1#x, c2#x]
+
+
+-- !query
+SELECT * FROM udtf(1, 2) t(c1, c2), LATERAL udtf(c1, c2)
+-- !query analysis
+Project [c1#x, c2#x, x#x, y#x]
++- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
+   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
+   :     +- OneRowRelation
+   +- SubqueryAlias t
+      +- Project [x#x AS c1#x, y#x AS c2#x]
+         +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
+            +- OneRowRelation
+
+
+-- !query
+SELECT * FROM udtf(cast(rand(0) AS int) + 1, 1)
+-- !query analysis
+[Analyzer test output redacted due to nondeterminism]
diff --git a/sql/core/src/test/resources/sql-tests/inputs/udtf/udtf.sql b/sql/core/src/test/resources/sql-tests/inputs/udtf/udtf.sql
new file mode 100644
index 0000000000000..66044604d64c0
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/inputs/udtf/udtf.sql
@@ -0,0 +1,18 @@
+CREATE OR REPLACE TEMPORARY VIEW t1 AS VALUES (0, 1), (1, 2) t(c1, c2);
+
+-- test basic udtf
+SELECT * FROM udtf(1, 2);
+SELECT * FROM udtf(-1, 0);
+SELECT * FROM udtf(0, -1);
+SELECT * FROM udtf(0, 0);
+
+-- test column alias
+SELECT a, b FROM udtf(1, 2) t(a, b);
+
+-- test lateral join
+SELECT * FROM t1, LATERAL udtf(c1, c2);
+SELECT * FROM t1 LEFT JOIN LATERAL udtf(c1, c2);
+SELECT * FROM udtf(1, 2) t(c1, c2), LATERAL udtf(c1, c2);
+
+-- test non-deterministic input
+SELECT * FROM udtf(cast(rand(0) AS int) + 1, 1);
diff --git a/sql/core/src/test/resources/sql-tests/results/udtf/udtf.sql.out b/sql/core/src/test/resources/sql-tests/results/udtf/udtf.sql.out
new file mode 100644
index 0000000000000..4f91ed3b70e58
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/results/udtf/udtf.sql.out
@@ -0,0 +1,85 @@
+-- Automatically generated by SQLQueryTestSuite
+-- !query
+CREATE OR REPLACE TEMPORARY VIEW t1 AS VALUES (0, 1), (1, 2) t(c1, c2)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+SELECT * FROM udtf(1, 2)
+-- !query schema
+struct<x:int,y:int>
+-- !query output
+1	-1
+2	1
+
+
+-- !query
+SELECT * FROM udtf(-1, 0)
+-- !query schema
+struct<x:int,y:int>
+-- !query output
+
+
+
+-- !query
+SELECT * FROM udtf(0, -1)
+-- !query schema
+struct<x:int,y:int>
+-- !query output
+
+
+
+-- !query
+SELECT * FROM udtf(0, 0)
+-- !query schema
+struct<x:int,y:int>
+-- !query output
+0	0
+
+
+-- !query
+SELECT a, b FROM udtf(1, 2) t(a, b)
+-- !query schema
+struct<a:int,b:int>
+-- !query output
+1	-1
+2	1
+
+
+-- !query
+SELECT * FROM t1, LATERAL udtf(c1, c2)
+-- !query schema
+struct<c1:int,c2:int,x:int,y:int>
+-- !query output
+1	2	1	-1
+1	2	2	1
+
+
+-- !query
+SELECT * FROM t1 LEFT JOIN LATERAL udtf(c1, c2)
+-- !query schema
+struct<c1:int,c2:int,x:int,y:int>
+-- !query output
+1	2	1	-1
+1	2	2	1
+
+
+-- !query
+SELECT * FROM udtf(1, 2) t(c1, c2), LATERAL udtf(c1, c2)
+-- !query schema
+struct<c1:int,c2:int,x:int,y:int>
+-- !query output
+2	1	1	-1
+2	1	2	1
+
+
+-- !query
+SELECT * FROM udtf(cast(rand(0) AS int) + 1, 1)
+-- !query schema
+struct<x:int,y:int>
+-- !query output
+1	0
+1	0
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
index 171a203a2d50c..33d5507bcdc72 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
@@ -319,6 +319,12 @@ object IntegratedUDFTestUtils extends SQLHelper {
     val prettyName: String
   }
 
+  sealed trait TestUDTF {
+    def apply(session: SparkSession, exprs: Column*): DataFrame
+
+    val prettyName: String
+  }
+
   class PythonUDFWithoutId(
       name: String,
       func: PythonFunction,
@@ -409,6 +415,32 @@ object IntegratedUDFTestUtils extends SQLHelper {
       udfDeterministic = deterministic)
   }
 
+  case class TestPythonUDTF(name: String) extends TestUDTF {
+    private val pythonScript: String =
+      """
+        |class TestUDTF:
+        |    def eval(self, a: int, b: int):
+        |        if a > 0 and b > 0:
+        |            yield a, a - b
+        |            yield b, b - a
+        |        elif a == 0 and b == 0:
+        |            yield 0, 0
+        |        else:
+        |            ...
+        |""".stripMargin
+
+    private[IntegratedUDFTestUtils] lazy val udtf = createUserDefinedPythonTableFunction(
+      name = "TestUDTF",
+      pythonScript = pythonScript,
+      returnType = StructType.fromDDL("x int, y int")
+    )
+
+    def apply(session: SparkSession, exprs: Column*): DataFrame =
+      udtf.apply(session, exprs: _*)
+
+    val prettyName: String = "Regular Python UDTF"
+  }
+
   /**
    * A Scalar Pandas UDF that takes one column, casts into string, executes the
    * Python native function, and casts back to the type of input column.
@@ -588,4 +620,12 @@ object IntegratedUDFTestUtils extends SQLHelper {
     case udf: TestScalaUDF => session.udf.register(udf.name, udf.udf)
     case other => throw new RuntimeException(s"Unknown UDF class [${other.getClass}]")
   }
+
+  /**
+   * Register UDTFs used in the test cases.
+   */
+  def registerTestUDTF(testUDTF: TestUDTF, session: SparkSession): Unit = testUDTF match {
+    case udtf: TestPythonUDTF => session.udtf.registerPython(udtf.name, udtf.udtf)
+    case other => throw new RuntimeException(s"Unknown UDTF class [${other.getClass}]")
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
index b354642eeded6..71af1fd69c347 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
@@ -202,6 +202,10 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
     val udf: TestUDF
   }
 
+  protected trait UDTFTest {
+    val udtf: TestUDTF
+  }
+
   /** A regular test case. */
   protected case class RegularTestCase(
       name: String, inputFile: String, resultFile: String) extends TestCase {
@@ -237,6 +241,16 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
       UDFAnalyzerTestCase(newName, inputFile, newResultFile, udf)
   }
 
+  protected case class UDTFTestCase(
+      name: String,
+      inputFile: String,
+      resultFile: String,
+      udtf: TestUDTF) extends TestCase with UDTFTest {
+
+    override def asAnalyzerTest(newName: String, newResultFile: String): TestCase =
+      UDTFAnalyzerTestCase(newName, inputFile, newResultFile, udtf)
+  }
+
   /** A UDAF test case. */
   protected case class UDAFTestCase(
       name: String,
@@ -285,6 +299,9 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
   protected case class UDFAnalyzerTestCase(
       name: String, inputFile: String, resultFile: String, udf: TestUDF)
       extends AnalyzerTest with UDFTest
+  protected case class UDTFAnalyzerTestCase(
+      name: String, inputFile: String, resultFile: String, udtf: TestUDTF)
+      extends AnalyzerTest with UDTFTest
   protected case class UDAFAnalyzerTestCase(
       name: String, inputFile: String, resultFile: String, udf: TestUDF)
       extends AnalyzerTest with UDFTest
@@ -488,6 +505,8 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
     testCase match {
       case udfTestCase: UDFTest =>
         registerTestUDF(udfTestCase.udf, localSparkSession)
+      case udtfTestCase: UDTFTest =>
+        registerTestUDTF(udtfTestCase.udtf, localSparkSession)
       case _ =>
     }
 
@@ -574,6 +593,9 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
             shouldTestPandasUDFs =>
         s"${testCase.name}${System.lineSeparator()}" +
           s"Python: $pythonVer Pandas: $pandasVer PyArrow: $pyarrowVer${System.lineSeparator()}"
+      case udtfTestCase: UDTFTest
+          if udtfTestCase.udtf.isInstanceOf[TestPythonUDTF] && shouldTestPythonUDFs =>
+        s"${testCase.name}${System.lineSeparator()}Python: $pythonVer${System.lineSeparator()}"
       case _ =>
         s"${testCase.name}${System.lineSeparator()}"
     }
@@ -620,6 +642,12 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
           UDAFTestCase(
             s"$testCaseName - ${udf.prettyName}", absPath, resultFile, udf)
         }
+      } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}udtf")) {
+        Seq(TestPythonUDTF("udtf")).map { udtf =>
+          UDTFTestCase(
+            s"$testCaseName - ${udtf.prettyName}", absPath, resultFile, udtf
+          )
+        }
       } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}postgreSQL")) {
         PgSQLTestCase(testCaseName, absPath, resultFile) :: Nil
       } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}ansi")) {
diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ThriftServerQueryTestSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ThriftServerQueryTestSuite.scala
index 91c75581b33e2..adbc42ab24587 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ThriftServerQueryTestSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ThriftServerQueryTestSuite.scala
@@ -259,6 +259,8 @@ class ThriftServerQueryTestSuite extends SQLQueryTestSuite with SharedThriftServ
         Seq.empty
       } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}udaf")) {
         Seq.empty
+      } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}udtf")) {
+        Seq.empty
       } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}postgreSQL")) {
         PgSQLTestCase(testCaseName, absPath, resultFile) :: Nil
       } else if (file.getAbsolutePath.startsWith(s"$inputFilePath${File.separator}ansi")) {

From baa891f3af1fae09198971b253ceb9d6ff11ed5d Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Thu, 17 Aug 2023 15:52:00 -0700
Subject: [PATCH 255/986] [SPARK-44859][SS] Fix incorrect property name in
 structured streaming doc

### What changes were proposed in this pull request?

We found that one structured streaming property for asynchronous progress tracking is not correct when comparing with codebase.

### Why are the changes needed?

Fix incorrect property name in structured streaming document.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

None, doc change only.

Closes #42544 from viirya/minor_doc_fix.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 07f70227f8bf81928d98101a88fd2885784451f5)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/structured-streaming-programming-guide.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index 53d5919d4dcd6..dc25adbdfd33e 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -4093,7 +4093,7 @@ The table below describes the configurations for this feature and default values
 | Option    | Value           | Default | Description       |
 |-------------|-----------------|------------|---------------------|
 |asyncProgressTrackingEnabled|true/false|false|enable or disable asynchronous progress tracking|
-|asyncProgressCheckpointingInterval|minutes|1|the interval in which we commit offsets and completion commits|
+|asyncProgressTrackingCheckpointIntervalMs|millisecond|1000|the interval in which we commit offsets and completion commits|
 
 ## Limitations
 The initial version of the feature has the following limitations:
@@ -4114,7 +4114,7 @@ Also the following error message may be printed in the driver logs:
 The offset log for batch x doesn't exist, which is required to restart the query from the latest batch x from the offset log. Please ensure there are two subsequent offset logs available for the latest batch via manually deleting the offset file(s). Please also ensure the latest batch for commit log is equal or one batch earlier than the latest batch for offset log.
 ```
 
-This is caused by the fact that when async progress tracking is enabled, the framework will not checkpoint progress for every batch as would be done if async progress tracking is not used. To solve this problem simply re-enable “asyncProgressTrackingEnabled” and set “asyncProgressCheckpointingInterval” to 0 and run the streaming query until at least two micro-batches have been processed. Async progress tracking can be now safely disabled and restarting query should proceed normally.
+This is caused by the fact that when async progress tracking is enabled, the framework will not checkpoint progress for every batch as would be done if async progress tracking is not used. To solve this problem simply re-enable “asyncProgressTrackingEnabled” and set “asyncProgressTrackingCheckpointIntervalMs” to 0 and run the streaming query until at least two micro-batches have been processed. Async progress tracking can be now safely disabled and restarting query should proceed normally.
 
 # Continuous Processing
 ## [Experimental]

From 3b3ceeaaee01e57872b392e7c660e70e6b1eb86a Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Fri, 18 Aug 2023 08:11:54 +0800
Subject: [PATCH 256/986] [SPARK-44831][PYTHON][DOCS] Refine DocString of
 `DataFrame.{union, unionAll, unionByName}`

### What changes were proposed in this pull request?
Refine DocString of `Union*`:

1. fix minor grammar mistakes
2. add more examples

### Why are the changes needed?
to improve the docs

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
CI

Closes #42515 from zhengruifeng/doc_refince_union.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 48faaa8ee73d8005d2ed0668b4d0e860fc92ca4d)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/dataframe.py | 140 ++++++++++++++++++++++++--------
 1 file changed, 105 insertions(+), 35 deletions(-)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 8be2c2242651a..932c29910bb42 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -3741,7 +3741,7 @@ def observe(
             )
 
     def union(self, other: "DataFrame") -> "DataFrame":
-        """Return a new :class:`DataFrame` containing union of rows in this and another
+        """Return a new :class:`DataFrame` containing the union of rows in this and another
         :class:`DataFrame`.
 
         .. versionadded:: 2.0.0
@@ -3752,11 +3752,12 @@ def union(self, other: "DataFrame") -> "DataFrame":
         Parameters
         ----------
         other : :class:`DataFrame`
-            Another :class:`DataFrame` that needs to be unioned
+            Another :class:`DataFrame` that needs to be unioned.
 
         Returns
         -------
         :class:`DataFrame`
+            A new :class:`DataFrame` containing the combined rows with corresponding columns.
 
         See Also
         --------
@@ -3764,34 +3765,81 @@ def union(self, other: "DataFrame") -> "DataFrame":
 
         Notes
         -----
-        This is equivalent to `UNION ALL` in SQL. To do a SQL-style set union
-        (that does deduplication of elements), use this function followed by :func:`distinct`.
+        This method performs a SQL-style set union of the rows from both `DataFrame` objects,
+        with no automatic deduplication of elements.
 
-        Also as standard in SQL, this function resolves columns by position (not by name).
+        Use the `distinct()` method to perform deduplication of rows.
+
+        The method resolves columns by position (not by name), following the standard behavior
+        in SQL.
 
         Examples
         --------
-        >>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
-        >>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col0"])
-        >>> df1.union(df2).show()
-        +----+----+----+
-        |col0|col1|col2|
-        +----+----+----+
-        |   1|   2|   3|
-        |   4|   5|   6|
-        +----+----+----+
-        >>> df1.union(df1).show()
-        +----+----+----+
-        |col0|col1|col2|
-        +----+----+----+
-        |   1|   2|   3|
-        |   1|   2|   3|
-        +----+----+----+
+        Example 1: Combining two DataFrames with the same schema
+
+        >>> df1 = spark.createDataFrame([(1, 'A'), (2, 'B')], ['id', 'value'])
+        >>> df2 = spark.createDataFrame([(3, 'C'), (4, 'D')], ['id', 'value'])
+        >>> df3 = df1.union(df2)
+        >>> df3.show()
+        +---+-----+
+        | id|value|
+        +---+-----+
+        |  1|    A|
+        |  2|    B|
+        |  3|    C|
+        |  4|    D|
+        +---+-----+
+
+        Example 2: Combining two DataFrames with different schemas
+
+        >>> from pyspark.sql.functions import lit
+        >>> df1 = spark.createDataFrame([("Alice", 1), ("Bob", 2)], ["name", "id"])
+        >>> df2 = spark.createDataFrame([(3, "Charlie"), (4, "Dave")], ["id", "name"])
+        >>> df1 = df1.withColumn("age", lit(30))
+        >>> df2 = df2.withColumn("age", lit(40))
+        >>> df3 = df1.union(df2)
+        >>> df3.show()
+        +-----+-------+---+
+        | name|     id|age|
+        +-----+-------+---+
+        |Alice|      1| 30|
+        |  Bob|      2| 30|
+        |    3|Charlie| 40|
+        |    4|   Dave| 40|
+        +-----+-------+---+
+
+        Example 3: Combining two DataFrames with mismatched columns
+
+        >>> df1 = spark.createDataFrame([(1, 2)], ["A", "B"])
+        >>> df2 = spark.createDataFrame([(3, 4)], ["C", "D"])
+        >>> df3 = df1.union(df2)
+        >>> df3.show()
+        +---+---+
+        |  A|  B|
+        +---+---+
+        |  1|  2|
+        |  3|  4|
+        +---+---+
+
+        Example 4: Combining duplicate rows from two different DataFrames
+
+        >>> df1 = spark.createDataFrame([(1, 'A'), (2, 'B'), (3, 'C')], ['id', 'value'])
+        >>> df2 = spark.createDataFrame([(3, 'C'), (4, 'D')], ['id', 'value'])
+        >>> df3 = df1.union(df2).distinct().sort("id")
+        >>> df3.show()
+        +---+-----+
+        | id|value|
+        +---+-----+
+        |  1|    A|
+        |  2|    B|
+        |  3|    C|
+        |  4|    D|
+        +---+-----+
         """
         return DataFrame(self._jdf.union(other._jdf), self.sparkSession)
 
     def unionAll(self, other: "DataFrame") -> "DataFrame":
-        """Return a new :class:`DataFrame` containing union of rows in this and another
+        """Return a new :class:`DataFrame` containing the union of rows in this and another
         :class:`DataFrame`.
 
         .. versionadded:: 1.3.0
@@ -3807,14 +3855,14 @@ def unionAll(self, other: "DataFrame") -> "DataFrame":
         Returns
         -------
         :class:`DataFrame`
-            Combined DataFrame
+            A new :class:`DataFrame` containing combined rows from both dataframes.
 
         Notes
         -----
-        This is equivalent to `UNION ALL` in SQL. To do a SQL-style set union
-        (that does deduplication of elements), use this function followed by :func:`distinct`.
+        This method combines all rows from both `DataFrame` objects with no automatic
+        deduplication of elements.
 
-        Also as standard in SQL, this function resolves columns by position (not by name).
+        Use the `distinct()` method to perform deduplication of rows.
 
         :func:`unionAll` is an alias to :func:`union`
 
@@ -3828,8 +3876,9 @@ def unionByName(self, other: "DataFrame", allowMissingColumns: bool = False) ->
         """Returns a new :class:`DataFrame` containing union of rows in this and another
         :class:`DataFrame`.
 
-        This is different from both `UNION ALL` and `UNION DISTINCT` in SQL. To do a SQL-style set
-        union (that does deduplication of elements), use this function followed by :func:`distinct`.
+        This method performs a union operation on both input DataFrames, resolving columns by
+        name (rather than position). When `allowMissingColumns` is True, missing columns will
+        be filled with null.
 
         .. versionadded:: 2.3.0
 
@@ -3848,12 +3897,12 @@ def unionByName(self, other: "DataFrame", allowMissingColumns: bool = False) ->
         Returns
         -------
         :class:`DataFrame`
-            Combined DataFrame.
+            A new :class:`DataFrame` containing the combined rows with corresponding
+            columns of the two given DataFrames.
 
         Examples
         --------
-        The difference between this function and :func:`union` is that this function
-        resolves columns by name (not by position):
+        Example 1: Union of two DataFrames with same columns in different order.
 
         >>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
         >>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col0"])
@@ -3865,10 +3914,7 @@ def unionByName(self, other: "DataFrame", allowMissingColumns: bool = False) ->
         |   6|   4|   5|
         +----+----+----+
 
-        When the parameter `allowMissingColumns` is ``True``, the set of column names
-        in this and other :class:`DataFrame` can differ; missing columns will be filled with null.
-        Further, the missing columns of this :class:`DataFrame` will be added at the end
-        in the schema of the union result:
+        Example 2: Union with missing columns and setting `allowMissingColumns=True`.
 
         >>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
         >>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col3"])
@@ -3879,6 +3925,30 @@ def unionByName(self, other: "DataFrame", allowMissingColumns: bool = False) ->
         |   1|   2|   3|NULL|
         |NULL|   4|   5|   6|
         +----+----+----+----+
+
+        Example 3: Union of two DataFrames with few common columns.
+
+        >>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
+        >>> df2 = spark.createDataFrame([[4, 5, 6, 7]], ["col1", "col2", "col3", "col4"])
+        >>> df1.unionByName(df2, allowMissingColumns=True).show()
+        +----+----+----+----+----+
+        |col0|col1|col2|col3|col4|
+        +----+----+----+----+----+
+        |   1|   2|   3|NULL|NULL|
+        |NULL|   4|   5|   6|   7|
+        +----+----+----+----+----+
+
+        Example 4: Union of two DataFrames with completely different columns.
+
+        >>> df1 = spark.createDataFrame([[0, 1, 2]], ["col0", "col1", "col2"])
+        >>> df2 = spark.createDataFrame([[3, 4, 5]], ["col3", "col4", "col5"])
+        >>> df1.unionByName(df2, allowMissingColumns=True).show()
+        +----+----+----+----+----+----+
+        |col0|col1|col2|col3|col4|col5|
+        +----+----+----+----+----+----+
+        |   0|   1|   2|NULL|NULL|NULL|
+        |NULL|NULL|NULL|   3|   4|   5|
+        +----+----+----+----+----+----+
         """
         return DataFrame(self._jdf.unionByName(other._jdf, allowMissingColumns), self.sparkSession)
 

From 321ee6a489b45bb2e9779d618d06226c32411474 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 17 Aug 2023 18:07:07 -0700
Subject: [PATCH 257/986] [SPARK-44857][CORE][UI] Fix `getBaseURI` error in
 Spark Worker LogPage UI buttons

### What changes were proposed in this pull request?

This PR aims to fix `getBaseURI` errors when we clicks Spark Worker LogPage UI buttons in Apache Spark 3.2.0+.

### Why are the changes needed?

Run a Spark job and open the Spark Worker UI, http://localhost:8081 .
```
$ sbin/start-master.sh
$ sbin/start-worker.sh spark://127.0.0.1:7077
$ bin/spark-shell --master spark://127.0.0.1:7077
```

Click `stderr` and `Load New` button. The button is out of order currently due to the following error because `getBaseURI` is defined in `utils.js`.

![Screenshot 2023-08-17 at 2 38 45 PM](https://github.com/apache/spark/assets/9700541/c2358ae3-46d2-43fe-9cc1-ce343725ce4c)

### Does this PR introduce _any_ user-facing change?

This will make the buttons work.

### How was this patch tested?

Manual.

Closes #42546 from dongjoon-hyun/SPARK-44857.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit f807bd239aebe182a04f5452d6efdf458e44143c)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala   | 1 +
 1 file changed, 1 insertion(+)

diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala
index bda95f323f369..6800a19b549be 100644
--- a/core/src/main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala
@@ -102,6 +102,7 @@ private[ui] class LogPage(parent: WorkerWebUI) extends WebUIPage("logPage") with
       s"initLogPage('$logParams', $curLogLength, $startByte, $endByte, $logLength, $byteLength);"
 
     val content =
+      <script src={UIUtils.prependBaseUri(request, "/static/utils.js")}></script> ++
       <div>
         {linkToMaster}
         {range}

From 7786d0b2f359eccd570461a399da0fca84e515c1 Mon Sep 17 00:00:00 2001
From: srielau <serge@rielau.com>
Date: Fri, 18 Aug 2023 09:26:32 +0800
Subject: [PATCH 258/986] [SPARK-43205][DOC] identifier clause docs

### What changes were proposed in this pull request?

Document the IDENTIFIER() clause

### Why are the changes needed?

Docs are good!

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
<!--
<img width="892" alt="Screenshot 2023-08-15 at 4 26 27 PM" src="https://github.com/apache/spark/assets/3514644/6ce43330-668e-4c84-b72b-bf1e2679d736">

If tests were added, say they were added here. Please make sure to add some test cases that check the changes thoroughly including negative and positive cases if possible.
If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future.
If tests were not added, please describe why they were not added and/or why it was difficult to add.
If benchmark tests were added, please run the benchmarks in GitHub Actions for the consistent environment, and the instructions could accord to: https://spark.apache.org/developer-tools.html#github-workflow-benchmarks.
-->
See attached
<img width="892" alt="Screenshot 2023-08-15 at 4 26 27 PM" src="https://github.com/apache/spark/assets/3514644/55823375-8d1a-4473-bf19-74796d273416">

<img width="747" alt="Screenshot 2023-08-15 at 4 45 23 PM" src="https://github.com/apache/spark/assets/3514644/0ee852a9-6a11-4c87-bed9-43531c55fc31">

Closes #42506 from srielau/SPARK-43205-3.5-IDENTIFIER-clause-docs.

Authored-by: srielau <serge@rielau.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 docs/sql-ref-identifier-clause.md | 106 ++++++++++++++++++++++++++++++
 docs/sql-ref.md                   |   1 +
 2 files changed, 107 insertions(+)
 create mode 100644 docs/sql-ref-identifier-clause.md

diff --git a/docs/sql-ref-identifier-clause.md b/docs/sql-ref-identifier-clause.md
new file mode 100644
index 0000000000000..694731109f822
--- /dev/null
+++ b/docs/sql-ref-identifier-clause.md
@@ -0,0 +1,106 @@
+---
+layout: global
+title: Identifier clause
+displayTitle: IDENTIFIER clause
+license: |
+  Licensed to the Apache Software Foundation (ASF) under one or more
+  contributor license agreements.  See the NOTICE file distributed with
+  this work for additional information regarding copyright ownership.
+  The ASF licenses this file to You under the Apache License, Version 2.0
+  (the "License"); you may not use this file except in compliance with
+  the License.  You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+---
+
+### Description
+
+Converts a constant `STRING` expression into a SQL object name.
+The purpose of this clause is to allow for templating of identifiers in SQL statements without opening up the risk of SQL injection attacks.
+Typically, this clause is used with a parameter marker as argument.
+
+### Syntax
+
+```sql
+IDENTIFIER ( strExpr )
+```
+
+### Parameters
+
+- **strExpr**: A constant `STRING` expression. Typically, the expression includes a parameter marker.
+
+### Returns
+
+A (qualified) identifier which can be used as a:
+
+- qualified table name
+- namespace name
+- function name
+- qualified column or attribute reference
+
+### Examples
+
+These examples use named parameter markers to templatize queries.
+
+```scala
+// Creation of a table using parameter marker.
+spark.sql("CREATE TABLE IDENTIFIER(:mytab)(c1 INT)", args = Map("mytab" -> "tab1")).show()
+
+spark.sql("DESCRIBE IDENTIFIER(:mytab)", args = Map("mytab" -> "tab1")).show()
++--------+---------+-------+
+|col_name|data_type|comment|
++--------+---------+-------+
+|      c1|      int|   NULL|
++--------+---------+-------+
+
+// Altering a table with a fixed schema and a parameterized table name. 
+spark.sql("ALTER TABLE IDENTIFIER('default.' || :mytab) ADD COLUMN c2 INT", args = Map("mytab" -> "tab1")).show()
+
+spark.sql("DESCRIBE IDENTIFIER(:mytab)", args = Map("mytab" -> "default.tab1")).show()
++--------+---------+-------+
+|col_name|data_type|comment|
++--------+---------+-------+
+|      c1|      int|   NULL|
+|      c2|      int|   NULL|
++--------+---------+-------+
+
+// A parameterized reference to a table in a query. This table name is qualified and uses back-ticks.
+spark.sql("SELECT * FROM IDENTIFIER(:mytab)", args = Map("mytab" -> "`default`.`tab1`")).show()
++---+---+
+| c1| c2|
++---+---+
++---+---+
+
+
+// You cannot qualify the IDENTIFIER clause or use it as a qualifier itself.
+spark.sql("SELECT * FROM myschema.IDENTIFIER(:mytab)", args = Map("mytab" -> "`tab1`")).show()
+[INVALID_SQL_SYNTAX.INVALID_TABLE_VALUED_FUNC_NAME] `myschema`.`IDENTIFIER`.
+
+spark.sql("SELECT * FROM IDENTIFIER(:myschema).mytab", args = Map("mychema" -> "`default`")).show()
+[PARSE_SYNTAX_ERROR]
+
+// Dropping a table with separate schema and table parameters.
+spark.sql("DROP TABLE IDENTIFIER(:myschema || '.' || :mytab)", args = Map("myschema" -> "default", "mytab" -> "tab1")).show()
+
+// A parameterized column reference
+spark.sql("SELECT IDENTIFIER(:col) FROM VALUES(1) AS T(c1)", args = Map("col" -> "t.c1")).show()
++---+
+| c1|
++---+
+|  1|
++---+
+
+// Passing in a function name as a parameter
+spark.sql("SELECT IDENTIFIER(:func)(-1)", args = Map("func" -> "abs")).show();
++-------+
+|abs(-1)|
++-------+
+|      1|
++-------+
+```
diff --git a/docs/sql-ref.md b/docs/sql-ref.md
index 026d072c07df3..8f3289e9b77ad 100644
--- a/docs/sql-ref.md
+++ b/docs/sql-ref.md
@@ -32,6 +32,7 @@ Spark SQL is Apache Spark's module for working with structured data. This guide
    * [User-Defined Aggregate Functions (UDAFs)](sql-ref-functions-udf-aggregate.html)
    * [Integration with Hive UDFs/UDAFs/UDTFs](sql-ref-functions-udf-hive.html)
  * [Identifiers](sql-ref-identifier.html)
+ * [IDENTIFIER clause](sql-ref-identifier-clause.html)
  * [Literals](sql-ref-literals.html)
  * [Null Semantics](sql-ref-null-semantics.html)
  * [SQL Syntax](sql-ref-syntax.html)

From 41e7234b848908afa12a8cc4a319b214a461c12d Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 18 Aug 2023 16:31:42 +0800
Subject: [PATCH 259/986] [SPARK-44834][PYTHON][SQL][TESTS][FOLLOW-UP] Update
 the analyzer results of the udtf tests

### What changes were proposed in this pull request?

This is a follow up for https://github.com/apache/spark/pull/42517.
We need to re-generate the analyzer results for udtf tests after https://github.com/apache/spark/pull/42519 is merged. Also updated PythonUDTFSuite after https://github.com/apache/spark/pull/42520 is merged.

### Why are the changes needed?

To fix test failures

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Test only change

Closes #42543 from allisonwang-db/spark-44834-fix.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit bb41cd889efdd0602385e70b4c8f1c93740db332)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 .../analyzer-results/udtf/udtf.sql.out        | 51 +++----------------
 .../execution/python/PythonUDTFSuite.scala    | 17 +------
 2 files changed, 10 insertions(+), 58 deletions(-)

diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
index acf96794378e1..b46a1f230a856 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udtf/udtf.sql.out
@@ -10,84 +10,49 @@ CreateViewCommand `t1`, VALUES (0, 1), (1, 2) t(c1, c2), false, true, LocalTempV
 -- !query
 SELECT * FROM udtf(1, 2)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(-1, 0)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(-1, 0)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(0, -1)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(0, -1)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(0, 0)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(0, 0)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT a, b FROM udtf(1, 2) t(a, b)
 -- !query analysis
-Project [a#x, b#x]
-+- SubqueryAlias t
-   +- Project [x#x AS a#x, y#x AS b#x]
-      +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-         +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM t1, LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t1
-      +- View (`t1`, [c1#x,c2#x])
-         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
-            +- SubqueryAlias t
-               +- LocalRelation [c1#x, c2#x]
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM t1 LEFT JOIN LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], LeftOuter
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t1
-      +- View (`t1`, [c1#x,c2#x])
-         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
-            +- SubqueryAlias t
-               +- LocalRelation [c1#x, c2#x]
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(1, 2) t(c1, c2), LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t
-      +- Project [x#x AS c1#x, y#x AS c2#x]
-         +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-            +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
index 67d33c6ecdffd..a9d56ce9bc97d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala
@@ -39,19 +39,6 @@ class PythonUDTFSuite extends QueryTest with SharedSparkSession {
       |        yield a, b, b - a
       |""".stripMargin
 
-  private val arrowPythonScript: String =
-    """
-      |import pandas as pd
-      |class VectorizedUDTF:
-      |    def eval(self, a: pd.Series, b: pd.Series):
-      |        data = [
-      |            [a, b, a + b],
-      |            [a, b, a - b],
-      |            [a, b, b - a],
-      |        ]
-      |        yield pd.DataFrame(data)
-      |""".stripMargin
-
   private val returnType: StructType = StructType.fromDDL("a int, b int, c int")
 
   private val pythonUDTF: UserDefinedPythonTableFunction =
@@ -59,8 +46,8 @@ class PythonUDTFSuite extends QueryTest with SharedSparkSession {
 
   private val arrowPythonUDTF: UserDefinedPythonTableFunction =
     createUserDefinedPythonTableFunction(
-      "VectorizedUDTF",
-      arrowPythonScript,
+      "SimpleUDTF",
+      pythonScript,
       returnType,
       evalType = PythonEvalType.SQL_ARROW_TABLE_UDF)
 

From 010c4a6a05ff290bec80c12a00cd1bdaed849242 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Fri, 18 Aug 2023 08:37:59 +0000
Subject: [PATCH 260/986] Preparing Spark release v3.5.0-rc2

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..1c093a4a98046 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.0
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index d97f724f0b5ff..a389e3fe9a519 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4ea3ef1e48ba4..0313cf2efab3c 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index fb261c284d9bd..839f61cac60c4 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..10deea435d2bd 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..c40f9905245cb 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.0
+SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..f67475ac11bc0 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 2c340f847bf92..b673163445ec5 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e5b1d1d67b3b4..a834cfb4c65b6 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..7222d49ecb020 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 2682cfbf36e04d25a99d1b5b3db0426eb66955d0 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Fri, 18 Aug 2023 08:38:03 +0000
Subject: [PATCH 261/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a389e3fe9a519..d97f724f0b5ff 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 0313cf2efab3c..4ea3ef1e48ba4 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 839f61cac60c4..fb261c284d9bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 10deea435d2bd..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index c40f9905245cb..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index f67475ac11bc0..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index b673163445ec5..2c340f847bf92 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index a834cfb4c65b6..e5b1d1d67b3b4 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7222d49ecb020..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 3f1a0a504524b52d499e4b428617b43ff49f9d3b Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 18 Aug 2023 17:31:20 +0800
Subject: [PATCH 262/986] [SPARK-44853][PYTHON][DOCS] Refine docstring of
 DataFrame.columns property

### What changes were proposed in this pull request?

This PR refines the docstring of `df.columns` and adds more examples.

### Why are the changes needed?

To make PySpark documentation better.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

doctest

Closes #42540 from allisonwang-db/spark-44853-refine-df-columns.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit fc0be7ebace3aaf22954f1311532db5c33f4d8fa)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/dataframe.py | 62 ++++++++++++++++++++++++++++++---
 1 file changed, 58 insertions(+), 4 deletions(-)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 932c29910bb42..03aaee8f2ec05 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -2084,7 +2084,10 @@ def dtypes(self) -> List[Tuple[str, str]]:
 
     @property
     def columns(self) -> List[str]:
-        """Returns all column names as a list.
+        """
+        Retrieves the names of all columns in the :class:`DataFrame` as a list.
+
+        The order of the column names in the list reflects their order in the DataFrame.
 
         .. versionadded:: 1.3.0
 
@@ -2094,14 +2097,65 @@ def columns(self) -> List[str]:
         Returns
         -------
         list
-            List of column names.
+            List of column names in the DataFrame.
 
         Examples
         --------
+        Example 1: Retrieve column names of a DataFrame
+
         >>> df = spark.createDataFrame(
-        ...     [(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
+        ...     [(14, "Tom", "CA"), (23, "Alice", "NY"), (16, "Bob", "TX")],
+        ...     ["age", "name", "state"]
+        ... )
         >>> df.columns
-        ['age', 'name']
+        ['age', 'name', 'state']
+
+        Example 2: Using column names to project specific columns
+
+        >>> selected_cols = [col for col in df.columns if col != "age"]
+        >>> df.select(selected_cols).show()
+        +-----+-----+
+        | name|state|
+        +-----+-----+
+        |  Tom|   CA|
+        |Alice|   NY|
+        |  Bob|   TX|
+        +-----+-----+
+
+        Example 3: Checking if a specific column exists in a DataFrame
+
+        >>> "state" in df.columns
+        True
+        >>> "salary" in df.columns
+        False
+
+        Example 4: Iterating over columns to apply a transformation
+
+        >>> import pyspark.sql.functions as f
+        >>> for col_name in df.columns:
+        ...     df = df.withColumn(col_name, f.upper(f.col(col_name)))
+        >>> df.show()
+        +---+-----+-----+
+        |age| name|state|
+        +---+-----+-----+
+        | 14|  TOM|   CA|
+        | 23|ALICE|   NY|
+        | 16|  BOB|   TX|
+        +---+-----+-----+
+
+        Example 5: Renaming columns and checking the updated column names
+
+        >>> df = df.withColumnRenamed("name", "first_name")
+        >>> df.columns
+        ['age', 'first_name', 'state']
+
+        Example 6: Using the `columns` property to ensure two DataFrames have the
+        same columns before a union
+
+        >>> df2 = spark.createDataFrame(
+        ...     [(30, "Eve", "FL"), (40, "Sam", "WA")], ["age", "name", "location"])
+        >>> df.columns == df2.columns
+        False
         """
         return [f.name for f in self.schema.fields]
 

From 94ccbf2fbd898fa0b6ada231032c1d78178317b7 Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Fri, 18 Aug 2023 20:30:57 +0800
Subject: [PATCH 263/986] [SPARK-44740][CONNECT][FOLLOW] Fix metadata values
 for Artifacts

### What changes were proposed in this pull request?
This is a followup for a previous fix where we did not properly propagate the metadata from the main client into the dependent stubs.

### Why are the changes needed?
compatibility

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing UT

Closes #42537 from grundprinzip/spark-44740-follow.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit b37daf5695e59ef2f29c6e084230ac89153cca26)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/client/artifact.py | 17 +++++++++++++----
 python/pyspark/sql/connect/client/core.py     |  4 +++-
 2 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/python/pyspark/sql/connect/client/artifact.py b/python/pyspark/sql/connect/client/artifact.py
index cad030e0d5bd7..c858768ccbf53 100644
--- a/python/pyspark/sql/connect/client/artifact.py
+++ b/python/pyspark/sql/connect/client/artifact.py
@@ -25,7 +25,7 @@
 import os
 import zlib
 from itertools import chain
-from typing import List, Iterable, BinaryIO, Iterator, Optional
+from typing import List, Iterable, BinaryIO, Iterator, Optional, Tuple
 import abc
 from pathlib import Path
 from urllib.parse import urlparse
@@ -162,12 +162,19 @@ class ArtifactManager:
     # https://github.com/grpc/grpc.github.io/issues/371.
     CHUNK_SIZE: int = 32 * 1024
 
-    def __init__(self, user_id: Optional[str], session_id: str, channel: grpc.Channel):
+    def __init__(
+        self,
+        user_id: Optional[str],
+        session_id: str,
+        channel: grpc.Channel,
+        metadata: Iterable[Tuple[str, str]],
+    ):
         self._user_context = proto.UserContext()
         if user_id is not None:
             self._user_context.user_id = user_id
         self._stub = grpc_lib.SparkConnectServiceStub(channel)
         self._session_id = session_id
+        self._metadata = metadata
 
     def _parse_artifacts(
         self, path_or_uri: str, pyfile: bool, archive: bool, file: bool
@@ -246,7 +253,7 @@ def _retrieve_responses(
         self, requests: Iterator[proto.AddArtifactsRequest]
     ) -> proto.AddArtifactsResponse:
         """Separated for the testing purpose."""
-        return self._stub.AddArtifacts(requests)
+        return self._stub.AddArtifacts(requests, metadata=self._metadata)
 
     def _request_add_artifacts(self, requests: Iterator[proto.AddArtifactsRequest]) -> None:
         response: proto.AddArtifactsResponse = self._retrieve_responses(requests)
@@ -382,7 +389,9 @@ def is_cached_artifact(self, hash: str) -> bool:
         request = proto.ArtifactStatusesRequest(
             user_context=self._user_context, session_id=self._session_id, names=[artifactName]
         )
-        resp: proto.ArtifactStatusesResponse = self._stub.ArtifactStatus(request)
+        resp: proto.ArtifactStatusesResponse = self._stub.ArtifactStatus(
+            request, metadata=self._metadata
+        )
         status = resp.statuses.get(artifactName)
         return status.exists if status is not None else False
 
diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index c2889c10e41a6..4b8a2348adc9d 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -672,7 +672,9 @@ def __init__(
         self._channel = self._builder.toChannel()
         self._closed = False
         self._stub = grpc_lib.SparkConnectServiceStub(self._channel)
-        self._artifact_manager = ArtifactManager(self._user_id, self._session_id, self._channel)
+        self._artifact_manager = ArtifactManager(
+            self._user_id, self._session_id, self._channel, self._builder.metadata()
+        )
         self._use_reattachable_execute = use_reattachable_execute
         # Configure logging for the SparkConnect client.
 

From 366e74127460e0310981b56584658e1a99d0167e Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Fri, 18 Aug 2023 20:36:48 +0800
Subject: [PATCH 264/986] [SPARK-44729][PYTHON][DOCS] Add canonical links to
 the PySpark docs page

### What changes were proposed in this pull request?
The pr aims to add canonical links to the PySpark docs page.

### Why are the changes needed?
We should add the canonical link to the PySpark docs page https://spark.apache.org/docs/latest/api/python/index.html so that the search engine can return the latest PySpark docs.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manual testing.
```
cd python/docs
make html
```

Closes #42425 from panbingkun/SPARK-44729.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit c88ced88af9a502a9e5352e31bb2963506ecb172)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/docs/source/conf.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 8203a802053db..38c331048e7b6 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -259,6 +259,8 @@
 # Output file base name for HTML help builder.
 htmlhelp_basename = 'pysparkdoc'
 
+# The base URL which points to the root of the HTML documentation.
+html_baseurl = 'https://spark.apache.org/docs/latest/api/python'
 
 # -- Options for LaTeX output ---------------------------------------------
 

From f7dd0a95727259ff4b7a2f849798f8a93cf78b69 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 18 Aug 2023 10:02:43 -0500
Subject: [PATCH 265/986] [SPARK-44813][INFRA] The Jira Python misses our
 assignee when it searches users again

### What changes were proposed in this pull request?

This PR creates an alternative to the assign_issue function in jira.client.JIRA.

The original one has an issue that it will search users again and only choose the assignee from 20 candidates. If it's unmatched, it picks the head blindly.

For example,

```python
>>> assignee = asf_jira.user("yao")
>>> "SPARK-44801"
'SPARK-44801'
>>> asf_jira.assign_issue(issue.key, assignee.name)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'issue' is not defined
>>> asf_jira.assign_issue("SPARK-44801", assignee.name)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/client.py", line 123, in wrapper
    result = func(*arg_list, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/client.py", line 1891, in assign_issue
    self._session.put(url, data=json.dumps(payload))
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/requests/sessions.py", line 649, in put
    return self.request("PUT", url, data=data, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/resilientsession.py", line 246, in request
    elif raise_on_error(response, **processed_kwargs):
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/resilientsession.py", line 71, in raise_on_error
    raise JIRAError(
jira.exceptions.JIRAError: JiraError HTTP 400 url: https://issues.apache.org/jira/rest/api/latest/issue/SPARK-44801/assignee
	response text = {"errorMessages":[],"errors":{"assignee":"User 'airhot' cannot be assigned issues."}}
```

The Jira userid 'yao' fails to return my JIRA profile as a candidate(20 in total) to match. So, 'airhot' from the head replaces me as an assignee.

### Why are the changes needed?

bugfix for merge_spark_pr

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

test locally

```python
>>> def assign_issue(client: jira.client.JIRA, issue: int, assignee: str) -> bool:
...     """Assign an issue to a user.
...
...     Args:
...         issue (Union[int, str]): the issue ID or key to assign
...         assignee (str): the user to assign the issue to. None will set it to unassigned. -1 will set it to Automatic.
...
...     Returns:
...         bool
...     """
...     url = getattr(client, "_get_latest_url")(f"issue/{issue}/assignee")
...     payload = {"name": assignee}
...     getattr(client, "_session").put(url, data=json.dumps(payload))
...     return True
...

>>>
>>> assign_issue(asf_jira, "SPARK-44801", "yao")
True
```

Closes #42496 from yaooqinn/SPARK-44813.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 00255bc63b1a3bbe80bedc639b88d4a8e3f88f72)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 dev/merge_spark_pr.py | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/dev/merge_spark_pr.py b/dev/merge_spark_pr.py
index bc51b8af2eb12..37488557fea7d 100755
--- a/dev/merge_spark_pr.py
+++ b/dev/merge_spark_pr.py
@@ -373,7 +373,7 @@ def choose_jira_assignee(issue, asf_jira):
                 except BaseException:
                     # assume it's a user id, and try to assign (might fail, we just prompt again)
                     assignee = asf_jira.user(raw_assignee)
-                asf_jira.assign_issue(issue.key, assignee.name)
+                assign_issue(issue.key, assignee.name)
                 return assignee
         except KeyboardInterrupt:
             raise
@@ -382,6 +382,19 @@ def choose_jira_assignee(issue, asf_jira):
             print("Error assigning JIRA, try again (or leave blank and fix manually)")
 
 
+def assign_issue(client: jira.client.JIRA, issue: int, assignee: str) -> bool:
+    """
+    Assign an issue to a user, which is a shorthand for jira.client.JIRA.assign_issue.
+    The original one has an issue that it will search users again and only choose the assignee
+    from 20 candidates. If it's unmatched, it picks the head blindly. In our case, the assignee
+    is already resolved.
+    """
+    url = getattr(client, "_get_latest_url")(f"issue/{issue}/assignee")
+    payload = {"name": assignee}
+    getattr(client, "_session").put(url, data=json.dumps(payload))
+    return True
+
+
 def resolve_jira_issues(title, merge_branches, comment):
     jira_ids = re.findall("SPARK-[0-9]{4,5}", title)
 

From c380da1357b20f55c8e80a515fc024e1b3b380cc Mon Sep 17 00:00:00 2001
From: Raghu Angadi <raghu.angadi@databricks.com>
Date: Fri, 18 Aug 2023 10:39:42 -0700
Subject: [PATCH 266/986] [SPARK-44433][3.5X] Terminate foreach batch runner
 when streaming query terminates

[This is 3.5x port of #42460 in master. It resolves couple of conflicts. ]

This terminates Python worker created for `foreachBatch` when the streaming query terminate. All of the tracking is done inside connect server (inside `StreamingForeachBatchHelper`). How this works:

* (A) The helper class returns a cleaner (an `AutoCloseable`) to connect server when foreachBatch function is set up (happens before starting the query).
* (B) If the query fails to start, server directly invokes the cleaner.
* (C) If the query starts up, the server registers the cleaner with `streamingRunnerCleanerCache` in the `SessionHolder`.
* (D) The cache keeps a mapping of query to cleaner.
* It registers a streaming listener (only once per session), which invokes the cleaner when a query terminates.
* There is also finally cleanup when SessionHolder expires.

This ensures Python process created for a streaming query is properly terminated when a query terminates.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

- Unit tests are added for `CleanerCache`
- Existing unit tests for foreachBatch.
- Manual test to verify python process is terminated in different cases.
- Unit tests don't really verify that the process is terminated. There will be a follow up PR to verify this.

Closes #42555 from rangadi/pr-terminate-3.5x.

Authored-by: Raghu Angadi <raghu.angadi@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../connect/planner/SparkConnectPlanner.scala |  37 ++++--
 .../planner/StreamingForeachBatchHelper.scala | 109 +++++++++++++++---
 .../sql/connect/service/SessionHolder.scala   |   9 +-
 .../SparkConnectStreamingQueryCache.scala     |  21 +++-
 .../StreamingForeachBatchHelperSuite.scala    |  80 +++++++++++++
 .../api/python/StreamingPythonRunner.scala    |   9 +-
 6 files changed, 230 insertions(+), 35 deletions(-)
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelperSuite.scala

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index f3e87b7067d8d..5120073e2f068 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.connect.planner
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.Try
+import scala.util.control.NonFatal
 
 import com.google.common.base.Throwables
 import com.google.common.collect.{Lists, Maps}
@@ -2853,11 +2854,17 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       }
     }
 
+    // This is filled when a foreach batch runner started for Python.
+    var foreachBatchRunnerCleaner: Option[StreamingForeachBatchHelper.RunnerCleaner] = None
+
     if (writeOp.hasForeachBatch) {
       val foreachBatchFn = writeOp.getForeachBatch.getFunctionCase match {
         case StreamingForeachFunction.FunctionCase.PYTHON_FUNCTION =>
           val pythonFn = transformPythonFunction(writeOp.getForeachBatch.getPythonFunction)
-          StreamingForeachBatchHelper.pythonForeachBatchWrapper(pythonFn, sessionHolder)
+          val (fn, cleaner) =
+            StreamingForeachBatchHelper.pythonForeachBatchWrapper(pythonFn, sessionHolder)
+          foreachBatchRunnerCleaner = Some(cleaner)
+          fn
 
         case StreamingForeachFunction.FunctionCase.SCALA_FUNCTION =>
           val scalaFn = Utils.deserialize[StreamingForeachBatchHelper.ForeachBatchFnType](
@@ -2872,16 +2879,26 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       writer.foreachBatch(foreachBatchFn)
     }
 
-    val query = writeOp.getPath match {
-      case "" if writeOp.hasTableName => writer.toTable(writeOp.getTableName)
-      case "" => writer.start()
-      case path => writer.start(path)
-    }
+    val query =
+      try {
+        writeOp.getPath match {
+          case "" if writeOp.hasTableName => writer.toTable(writeOp.getTableName)
+          case "" => writer.start()
+          case path => writer.start(path)
+        }
+      } catch {
+        case NonFatal(ex) => // Failed to start the query, clean up foreach runner if any.
+          logInfo(s"Removing foreachBatch worker, query failed to start for session $sessionId.")
+          foreachBatchRunnerCleaner.foreach(_.close())
+          throw ex
+      }
 
-    // Register the new query so that the session and query references are cached.
-    SparkConnectService.streamingSessionManager.registerNewStreamingQuery(
-      sessionHolder = SessionHolder(userId = userId, sessionId = sessionId, session),
-      query = query)
+    // Register the new query so that its reference is cached and is stopped on session timeout.
+    SparkConnectService.streamingSessionManager.registerNewStreamingQuery(sessionHolder, query)
+    // Register the runner with the query if Python foreachBatch is enabled.
+    foreachBatchRunnerCleaner.foreach { cleaner =>
+      sessionHolder.streamingRunnerCleanerCache.registerCleanerForQuery(query, cleaner)
+    }
     executeHolder.eventsManager.postFinished()
 
     val result = WriteStreamOperationStartResult
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 4f1037b86c9f2..21e4adb9896b6 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -17,12 +17,19 @@
 package org.apache.spark.sql.connect.planner
 
 import java.util.UUID
+import java.util.concurrent.ConcurrentHashMap
+import java.util.concurrent.ConcurrentMap
+
+import scala.collection.JavaConverters._
+import scala.util.control.NonFatal
 
 import org.apache.spark.api.python.{PythonRDD, SimplePythonFunction, StreamingPythonRunner}
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.connect.service.SessionHolder
 import org.apache.spark.sql.connect.service.SparkConnectService
+import org.apache.spark.sql.streaming.StreamingQuery
+import org.apache.spark.sql.streaming.StreamingQueryListener
 
 /**
  * A helper class for handling ForeachBatch related functionality in Spark Connect servers
@@ -31,6 +38,16 @@ object StreamingForeachBatchHelper extends Logging {
 
   type ForeachBatchFnType = (DataFrame, Long) => Unit
 
+  case class RunnerCleaner(runner: StreamingPythonRunner) extends AutoCloseable {
+    override def close(): Unit = {
+      try runner.stop()
+      catch {
+        case NonFatal(ex) => // Exception is not propagated.
+          logWarning("Error while stopping streaming Python worker", ex)
+      }
+    }
+  }
+
   private case class FnArgsWithId(dfId: String, df: DataFrame, batchId: Long)
 
   /**
@@ -83,7 +100,7 @@ object StreamingForeachBatchHelper extends Logging {
    */
   def pythonForeachBatchWrapper(
       pythonFn: SimplePythonFunction,
-      sessionHolder: SessionHolder): ForeachBatchFnType = {
+      sessionHolder: SessionHolder): (ForeachBatchFnType, RunnerCleaner) = {
 
     val port = SparkConnectService.localPort
     val connectUrl = s"sc://localhost:$port/;user_id=${sessionHolder.userId}"
@@ -92,8 +109,7 @@ object StreamingForeachBatchHelper extends Logging {
       connectUrl,
       sessionHolder.sessionId,
       "pyspark.sql.connect.streaming.worker.foreachBatch_worker")
-    val (dataOut, dataIn) =
-      runner.init()
+    val (dataOut, dataIn) = runner.init()
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
 
@@ -102,6 +118,9 @@ object StreamingForeachBatchHelper extends Logging {
       //     This is because MicroBatch execution clones the session during start.
       //     The session attached to the foreachBatch dataframe is different from the one the one
       //     the query was started with. `sessionHolder` here contains the latter.
+      //     Another issue with not creating new session id: foreachBatch worker keeps
+      //     the session alive. The session mapping at Connect server does not expire and query
+      //     keeps running even if the original client disappears. This keeps the query running.
 
       PythonRDD.writeUTF(args.dfId, dataOut)
       dataOut.writeLong(args.batchId)
@@ -111,17 +130,79 @@ object StreamingForeachBatchHelper extends Logging {
       logInfo(s"Python foreach batch for dfId ${args.dfId} completed (ret: $ret)")
     }
 
-    dataFrameCachingWrapper(foreachBatchRunnerFn, sessionHolder)
+    (dataFrameCachingWrapper(foreachBatchRunnerFn, sessionHolder), RunnerCleaner(runner))
   }
 
-  // TODO(SPARK-44433): Improve termination of Processes
-  //   The goal is that when a query is terminated, the python process associated with foreachBatch
-  //   should be terminated. One way to do that is by registering streaming query listener:
-  //   After pythonForeachBatchWrapper() is invoked by the SparkConnectPlanner.
-  //   At that time, we don't have the streaming queries yet.
-  //   Planner should call back into this helper with the query id when it starts it immediately
-  //   after. Save the query id to StreamingPythonRunner mapping. This mapping should be
-  //   part of the SessionHolder.
-  //   When a query is terminated, check the mapping and terminate any associated runner.
-  //   These runners should be terminated when a session is deleted (due to timeout, etc).
+  /**
+   * This manages cache from queries to cleaner for runners used for streaming queries. This is
+   * used in [[SessionHolder]].
+   */
+  class CleanerCache(sessionHolder: SessionHolder) {
+
+    private case class CacheKey(queryId: String, runId: String)
+
+    // Mapping from streaming (queryId, runId) to runner cleaner. Used for Python foreachBatch.
+    private val cleanerCache: ConcurrentMap[CacheKey, AutoCloseable] = new ConcurrentHashMap()
+
+    private lazy val streamingListener = { // Initialized on first registered query
+      val listener = new StreamingRunnerCleanerListener
+      sessionHolder.session.streams.addListener(listener)
+      logInfo(s"Registered runner clean up listener for session ${sessionHolder.sessionId}")
+      listener
+    }
+
+    private[connect] def registerCleanerForQuery(
+        query: StreamingQuery,
+        cleaner: AutoCloseable): Unit = {
+
+      streamingListener // Access to initialize
+      val key = CacheKey(query.id.toString, query.runId.toString)
+
+      Option(cleanerCache.putIfAbsent(key, cleaner)) match {
+        case Some(_) =>
+          throw new IllegalStateException(s"Unexpected: a cleaner for query $key is already set")
+        case None => // Inserted. Normal.
+      }
+    }
+
+    /** Cleans up all the registered runners. */
+    private[connect] def cleanUpAll(): Unit = {
+      // Clean up all remaining registered runners.
+      cleanerCache.keySet().asScala.foreach(cleanupStreamingRunner(_))
+    }
+
+    private def cleanupStreamingRunner(key: CacheKey): Unit = {
+      Option(cleanerCache.remove(key)).foreach { cleaner =>
+        logInfo(s"Cleaning up runner for queryId ${key.queryId} runId ${key.runId}.")
+        cleaner.close()
+      }
+    }
+
+    /**
+     * An internal streaming query listener that cleans up Python runner (if there is any) when a
+     * query is terminated.
+     */
+    private class StreamingRunnerCleanerListener extends StreamingQueryListener {
+      override def onQueryStarted(event: StreamingQueryListener.QueryStartedEvent): Unit = {}
+
+      override def onQueryProgress(event: StreamingQueryListener.QueryProgressEvent): Unit = {}
+
+      override def onQueryTerminated(event: StreamingQueryListener.QueryTerminatedEvent): Unit = {
+        val key = CacheKey(event.id.toString, event.runId.toString)
+        cleanupStreamingRunner(key)
+      }
+    }
+
+    private[connect] def listEntriesForTesting(): Map[(String, String), AutoCloseable] = {
+      cleanerCache
+        .entrySet()
+        .asScala
+        .map { e =>
+          (e.getKey.queryId, e.getKey.runId) -> e.getValue
+        }
+        .toMap
+    }
+
+    private[connect] def listenerForTesting: StreamingQueryListener = streamingListener
+  }
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index b828d78710faf..2034a97fce940 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -31,8 +31,9 @@ import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.SparkConnectArtifactManager
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.planner.PythonStreamingQueryListener
+import org.apache.spark.sql.connect.planner.StreamingForeachBatchHelper
 import org.apache.spark.sql.streaming.StreamingQueryListener
-import org.apache.spark.util.{SystemClock}
+import org.apache.spark.util.SystemClock
 import org.apache.spark.util.Utils
 
 /**
@@ -55,6 +56,10 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
   private lazy val listenerCache: ConcurrentMap[String, StreamingQueryListener] =
     new ConcurrentHashMap()
 
+  // Handles Python process clean up for streaming queries. Initialized on first use in a query.
+  private[connect] lazy val streamingRunnerCleanerCache =
+    new StreamingForeachBatchHelper.CleanerCache(this)
+
   /** Add ExecuteHolder to this session. Called only by SparkConnectExecutionManager. */
   private[service] def addExecuteHolder(executeHolder: ExecuteHolder): Unit = {
     val oldExecute = executions.putIfAbsent(executeHolder.operationId, executeHolder)
@@ -153,9 +158,9 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     logDebug(s"Expiring session with userId: $userId and sessionId: $sessionId")
     artifactManager.cleanUpResources()
     eventManager.postClosed()
-
     // Clean up running queries
     SparkConnectService.streamingSessionManager.cleanupRunningQueries(this)
+    streamingRunnerCleanerCache.cleanUpAll() // Clean up any streaming workers.
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
index 1b834648c5154..04c38a1991a20 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala
@@ -113,7 +113,12 @@ private[connect] class SparkConnectStreamingQueryCache(
       if (v.userId.equals(sessionHolder.userId) && v.sessionId.equals(sessionHolder.sessionId)) {
         if (v.query.isActive && Option(v.session.streams.get(k.queryId)).nonEmpty) {
           logInfo(s"Stopping the query with id ${k.queryId} since the session has timed out")
-          v.query.stop()
+          try {
+            v.query.stop()
+          } catch {
+            case NonFatal(ex) =>
+              logWarning(s"Failed to stop the query ${k.queryId}. Error is ignored.", ex)
+          }
         }
       }
     }
@@ -180,13 +185,17 @@ private[connect] class SparkConnectStreamingQueryCache(
           case Some(_) => // Inactive query waiting for expiration. Do nothing.
             logInfo(s"Waiting for the expiration for $id in session ${v.sessionId}")
 
-          case None => // Active query, check if it is stopped. Keep the session alive.
+          case None => // Active query, check if it is stopped. Enable timeout if it is stopped.
             val isActive = v.query.isActive && Option(v.session.streams.get(id)).nonEmpty
 
             if (!isActive) {
               logInfo(s"Marking query $id in session ${v.sessionId} inactive.")
               val expiresAtMs = nowMs + stoppedQueryInactivityTimeout.toMillis
               queryCache.put(k, v.copy(expiresAtMs = Some(expiresAtMs)))
+              // To consider: Clean up any runner registered for this query with the session holder
+              // for this session. Useful in case listener events are delayed (such delays are
+              // seen in practice, especially when users have heavy processing inside listeners).
+              // Currently such workers would be cleaned up when the connect session expires.
             }
         }
       }
@@ -196,9 +205,6 @@ private[connect] class SparkConnectStreamingQueryCache(
 
 private[connect] object SparkConnectStreamingQueryCache {
 
-  case class SessionCacheKey(userId: String, sessionId: String)
-  case class SessionCacheValue(session: SparkSession)
-
   case class QueryCacheKey(queryId: String, runId: String)
 
   case class QueryCacheValue(
@@ -207,5 +213,8 @@ private[connect] object SparkConnectStreamingQueryCache {
       session: SparkSession, // Holds the reference to the session.
       query: StreamingQuery, // Holds the reference to the query.
       expiresAtMs: Option[Long] = None // Expiry time for a stopped query.
-  )
+  ) {
+    override def toString(): String =
+      s"[session id: $sessionId, query id: ${query.id}, run id: ${query.runId}]"
+  }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelperSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelperSuite.scala
new file mode 100644
index 0000000000000..820a1b047957b
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelperSuite.scala
@@ -0,0 +1,80 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.planner
+
+import java.util.UUID
+
+import org.mockito.Mockito.times
+import org.mockito.Mockito.verify
+import org.mockito.Mockito.when
+import org.scalatestplus.mockito.MockitoSugar
+
+import org.apache.spark.sql.connect.service.SessionHolder
+import org.apache.spark.sql.streaming.StreamingQuery
+import org.apache.spark.sql.streaming.StreamingQueryListener
+import org.apache.spark.sql.test.SharedSparkSession
+
+class StreamingForeachBatchHelperSuite extends SharedSparkSession with MockitoSugar {
+
+  private def mockQuery(): StreamingQuery = {
+    val query = mock[StreamingQuery]
+    val (queryId, runId) = (UUID.randomUUID(), UUID.randomUUID())
+    when(query.id).thenReturn(queryId)
+    when(query.runId).thenReturn(runId)
+    query
+  }
+
+  test("CleanerCache functionality: register queries, terminate, full cleanup") {
+
+    val cleaner1 = mock[AutoCloseable]
+    val cleaner2 = mock[AutoCloseable]
+
+    val query1 = mockQuery()
+    val query2 = mockQuery()
+
+    val cache = new StreamingForeachBatchHelper.CleanerCache(SessionHolder.forTesting(spark))
+
+    cache.registerCleanerForQuery(query1, cleaner1)
+
+    // Verify listener is registered.
+    assert(spark.streams.listListeners().contains(cache.listenerForTesting))
+
+    cache.registerCleanerForQuery(query2, cleaner2)
+
+    assert(cache.listEntriesForTesting().size == 2)
+
+    // No calls to close yet.
+    verify(cleaner1, times(0)).close()
+
+    // Terminate query1
+    val terminatedEvent =
+      new StreamingQueryListener.QueryTerminatedEvent(id = query1.id, runId = query1.runId, None)
+    cache.listenerForTesting.onQueryTerminated(terminatedEvent)
+
+    // This should close 'cleaner1' and remove it from the cache.
+    verify(cleaner1, times(1)).close()
+    assert(cache.listEntriesForTesting().size == 1)
+
+    // Clean up remaining entries
+    verify(cleaner2, times(0)).close() // cleaner2 is not closed yet.
+    cache.cleanUpAll() // It should be closed now.
+    verify(cleaner2, times(1)).close()
+
+    // No more entries left in it now.
+    assert(cache.listEntriesForTesting().isEmpty)
+  }
+}
diff --git a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
index cddda6fb7a76b..1e0feb74cfdd4 100644
--- a/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/StreamingPythonRunner.scala
@@ -59,7 +59,7 @@ private[spark] class StreamingPythonRunner(
    * to be used with the functions.
    */
   def init(): (DataOutputStream, DataInputStream) = {
-    logInfo(s"Initializing Python runner (session: $sessionId, pythonExec: $pythonExec")
+    logInfo(s"Initializing Python runner (session: $sessionId, pythonExec: $pythonExec)")
     val env = SparkEnv.get
 
     val localdir = env.blockManager.diskBlockManager.localDirs.map(f => f.getPath()).mkString(",")
@@ -98,7 +98,7 @@ private[spark] class StreamingPythonRunner(
       new BufferedInputStream(pythonWorker.get.getInputStream, bufferSize))
 
     val resFromPython = dataIn.readInt()
-    logInfo(s"Runner initialization returned $resFromPython")
+    logInfo(s"Runner initialization succeeded (returned $resFromPython).")
 
     (dataOut, dataIn)
   }
@@ -108,7 +108,10 @@ private[spark] class StreamingPythonRunner(
    */
   def stop(): Unit = {
     pythonWorker.foreach { worker =>
-      pythonWorkerFactory.foreach(_.stopWorker(worker))
+      pythonWorkerFactory.foreach { factory =>
+        factory.stopWorker(worker)
+        factory.stop()
+      }
     }
   }
 }

From 7ffb4a11597e0d2624830dc5ac044ce6c41835f8 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 19 Aug 2023 01:48:37 +0800
Subject: [PATCH 267/986] [SPARK-44875][INFRA] Fix spelling for commentator to
 test SPARK-44813

### What changes were proposed in this pull request?

Fix a typo to verify SPARK-44813

### Why are the changes needed?

Fix a typo and verify SPARK-44813

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

Closes #42561 from yaooqinn/SPARK-44875.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 54dd18b5e0953df37e5f0937f1f79e65db70b787)
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/merge_spark_pr.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/dev/merge_spark_pr.py b/dev/merge_spark_pr.py
index 37488557fea7d..6af3945bc572d 100755
--- a/dev/merge_spark_pr.py
+++ b/dev/merge_spark_pr.py
@@ -344,13 +344,13 @@ def get_version_json(version_str):
 def choose_jira_assignee(issue, asf_jira):
     """
     Prompt the user to choose who to assign the issue to in jira, given a list of candidates,
-    including the original reporter and all commentors
+    including the original reporter and all commentators
     """
     while True:
         try:
             reporter = issue.fields.reporter
-            commentors = list(map(lambda x: x.author, issue.fields.comment.comments))
-            candidates = set(commentors)
+            commentators = list(map(lambda x: x.author, issue.fields.comment.comments))
+            candidates = set(commentators)
             candidates.add(reporter)
             candidates = list(candidates)
             print("JIRA is unassigned, choose assignee")
@@ -358,8 +358,8 @@ def choose_jira_assignee(issue, asf_jira):
                 if author.key == "apachespark":
                     continue
                 annotations = ["Reporter"] if author == reporter else []
-                if author in commentors:
-                    annotations.append("Commentor")
+                if author in commentators:
+                    annotations.append("Commentator")
                 print("[%d] %s (%s)" % (idx, author.displayName, ",".join(annotations)))
             raw_assignee = input(
                 "Enter number of user, or userid, to assign to (blank to leave unassigned):"

From 7864697a7b1c7acb892d3107703750aa772b3298 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 19 Aug 2023 01:54:42 +0800
Subject: [PATCH 268/986] Revert "[SPARK-44813][INFRA] The Jira Python misses
 our assignee when it searches users again"

This reverts commit f7dd0a95727259ff4b7a2f849798f8a93cf78b69.
---
 dev/merge_spark_pr.py | 15 +--------------
 1 file changed, 1 insertion(+), 14 deletions(-)

diff --git a/dev/merge_spark_pr.py b/dev/merge_spark_pr.py
index 6af3945bc572d..6d86e918310a6 100755
--- a/dev/merge_spark_pr.py
+++ b/dev/merge_spark_pr.py
@@ -373,7 +373,7 @@ def choose_jira_assignee(issue, asf_jira):
                 except BaseException:
                     # assume it's a user id, and try to assign (might fail, we just prompt again)
                     assignee = asf_jira.user(raw_assignee)
-                assign_issue(issue.key, assignee.name)
+                asf_jira.assign_issue(issue.key, assignee.name)
                 return assignee
         except KeyboardInterrupt:
             raise
@@ -382,19 +382,6 @@ def choose_jira_assignee(issue, asf_jira):
             print("Error assigning JIRA, try again (or leave blank and fix manually)")
 
 
-def assign_issue(client: jira.client.JIRA, issue: int, assignee: str) -> bool:
-    """
-    Assign an issue to a user, which is a shorthand for jira.client.JIRA.assign_issue.
-    The original one has an issue that it will search users again and only choose the assignee
-    from 20 candidates. If it's unmatched, it picks the head blindly. In our case, the assignee
-    is already resolved.
-    """
-    url = getattr(client, "_get_latest_url")(f"issue/{issue}/assignee")
-    payload = {"name": assignee}
-    getattr(client, "_session").put(url, data=json.dumps(payload))
-    return True
-
-
 def resolve_jira_issues(title, merge_branches, comment):
     jira_ids = re.findall("SPARK-[0-9]{4,5}", title)
 

From b24dbc995b7188883974754b5429136ba6527d6b Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 19 Aug 2023 02:03:29 +0800
Subject: [PATCH 269/986] [SPARK-44813][INFRA] The Jira Python misses our
 assignee when it searches users again

### What changes were proposed in this pull request?

This PR creates an alternative to the assign_issue function in jira.client.JIRA.

The original one has an issue that it will search users again and only choose the assignee from 20 candidates. If it's unmatched, it picks the head blindly.

For example,

```python
>>> assignee = asf_jira.user("yao")
>>> "SPARK-44801"
'SPARK-44801'
>>> asf_jira.assign_issue(issue.key, assignee.name)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'issue' is not defined
>>> asf_jira.assign_issue("SPARK-44801", assignee.name)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/client.py", line 123, in wrapper
    result = func(*arg_list, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/client.py", line 1891, in assign_issue
    self._session.put(url, data=json.dumps(payload))
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/requests/sessions.py", line 649, in put
    return self.request("PUT", url, data=data, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/resilientsession.py", line 246, in request
    elif raise_on_error(response, **processed_kwargs):
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hzyaoqin/python/lib/python3.11/site-packages/jira/resilientsession.py", line 71, in raise_on_error
    raise JIRAError(
jira.exceptions.JIRAError: JiraError HTTP 400 url: https://issues.apache.org/jira/rest/api/latest/issue/SPARK-44801/assignee
	response text = {"errorMessages":[],"errors":{"assignee":"User 'airhot' cannot be assigned issues."}}
```

The Jira userid 'yao' fails to return my JIRA profile as a candidate(20 in total) to match. So, 'airhot' from the head replaces me as an assignee.

### Why are the changes needed?

bugfix for merge_spark_pr

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

test locally

```python
>>> def assign_issue(client: jira.client.JIRA, issue: int, assignee: str) -> bool:
...     """Assign an issue to a user.
...
...     Args:
...         issue (Union[int, str]): the issue ID or key to assign
...         assignee (str): the user to assign the issue to. None will set it to unassigned. -1 will set it to Automatic.
...
...     Returns:
...         bool
...     """
...     url = getattr(client, "_get_latest_url")(f"issue/{issue}/assignee")
...     payload = {"name": assignee}
...     getattr(client, "_session").put(url, data=json.dumps(payload))
...     return True
...

>>>
>>> assign_issue(asf_jira, "SPARK-44801", "yao")
True
```

Closes #42496 from yaooqinn/SPARK-44813.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 8fb799d47bbd5d5ce9db35283d08ab1a31dc37b9)
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/merge_spark_pr.py | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/dev/merge_spark_pr.py b/dev/merge_spark_pr.py
index 6d86e918310a6..94cf3ac262c33 100755
--- a/dev/merge_spark_pr.py
+++ b/dev/merge_spark_pr.py
@@ -373,7 +373,7 @@ def choose_jira_assignee(issue, asf_jira):
                 except BaseException:
                     # assume it's a user id, and try to assign (might fail, we just prompt again)
                     assignee = asf_jira.user(raw_assignee)
-                asf_jira.assign_issue(issue.key, assignee.name)
+                assign_issue(asf_jira, issue.key, assignee.name)
                 return assignee
         except KeyboardInterrupt:
             raise
@@ -382,6 +382,19 @@ def choose_jira_assignee(issue, asf_jira):
             print("Error assigning JIRA, try again (or leave blank and fix manually)")
 
 
+def assign_issue(client: jira.client.JIRA, issue: int, assignee: str) -> bool:
+    """
+    Assign an issue to a user, which is a shorthand for jira.client.JIRA.assign_issue.
+    The original one has an issue that it will search users again and only choose the assignee
+    from 20 candidates. If it's unmatched, it picks the head blindly. In our case, the assignee
+    is already resolved.
+    """
+    url = getattr(client, "_get_latest_url")(f"issue/{issue}/assignee")
+    payload = {"name": assignee}
+    getattr(client, "_session").put(url, data=json.dumps(payload))
+    return True
+
+
 def resolve_jira_issues(title, merge_branches, comment):
     jira_ids = re.findall("SPARK-[0-9]{4,5}", title)
 

From cb8de35b749e8e2ff3d0667be3e933c682c528ee Mon Sep 17 00:00:00 2001
From: kylerong-db <kyle.rong@databricks.com>
Date: Fri, 18 Aug 2023 11:07:21 -0700
Subject: [PATCH 270/986] [SPARK-44873] Support alter view with nested columns
 in Hive client

### What changes were proposed in this pull request?
Previously, if a view's schema contains a nested struct, alterTable using Hive client will fail. This change supports a view with a nested struct. The mechanism is to store an empty schema when we call Hive client, since we already store the actual schema in table properties. This fix is similar to https://github.com/apache/spark/pull/37364

### Why are the changes needed?
This supports using view with nested structs in Hive metastore.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added unit test.

Closes #42532 from kylerong-db/hive_view.

Authored-by: kylerong-db <kyle.rong@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit c7d63eac48d3a81099456360f1c30e6049824749)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../apache/spark/sql/hive/HiveExternalCatalog.scala   | 11 ++++++++++-
 .../spark/sql/hive/HiveParquetSourceSuite.scala       | 10 ++++++++++
 .../spark/sql/hive/execution/HiveDDLSuite.scala       |  8 --------
 3 files changed, 20 insertions(+), 9 deletions(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
index b1eadea42e077..67b780f13c431 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
@@ -595,7 +595,16 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat
 
     if (tableDefinition.tableType == VIEW) {
       val newTableProps = tableDefinition.properties ++ tableMetaToTableProps(tableDefinition).toMap
-      client.alterTable(tableDefinition.copy(properties = newTableProps))
+      val newTable = tableDefinition.copy(properties = newTableProps)
+      try {
+        client.alterTable(newTable)
+      } catch {
+        case NonFatal(e) =>
+          // If for some reason we fail to store the schema we store it as empty there
+          // since we already store the real schema in the table properties. This try-catch
+          // should only be necessary for Spark views which are incompatible with Hive
+          client.alterTable(newTable.copy(schema = EMPTY_DATA_SCHEMA))
+      }
     } else {
       val oldTableDef = getRawTable(db, tableDefinition.identifier.table)
 
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSourceSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSourceSuite.scala
index 7c67f34560e29..45668fc683d9c 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSourceSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSourceSuite.scala
@@ -385,4 +385,14 @@ class HiveParquetSourceSuite extends ParquetPartitioningTest with ParquetTest {
       checkAnswer(spark.table("t"), Row(Row("a", 1)))
     }
   }
+
+  test("Alter view with nested struct") {
+    withView("t", "t2") {
+      sql("CREATE OR REPLACE VIEW t AS SELECT " +
+        "struct(id AS `$col2`, struct(id AS `$col`) AS s1) AS s2 FROM RANGE(5)")
+      sql("ALTER VIEW t SET TBLPROPERTIES ('x' = 'y')")
+      sql("ALTER VIEW t RENAME TO t2")
+      checkAnswer(sql("show TBLPROPERTIES t2 (x)"), Row("x", "y"))
+    }
+  }
 }
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
index 006caa02d55e2..2c5e2956f5f8a 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
@@ -175,14 +175,6 @@ class HiveCatalogedDDLSuite extends DDLSuite with TestHiveSingleton with BeforeA
     withView("v") {
       spark.sql("CREATE VIEW v AS SELECT STRUCT('a' AS `a`, 1 AS b) q")
       checkAnswer(sql("SELECT q.`a`, q.b FROM v"), Row("a", 1) :: Nil)
-
-      checkError(
-        exception = intercept[SparkException] {
-          spark.sql("ALTER VIEW v AS SELECT STRUCT('a' AS `$a`, 1 AS b) q")
-        },
-        errorClass = "CANNOT_RECOGNIZE_HIVE_TYPE",
-        parameters = Map("fieldType" -> "\"STRUCT<$A:STRING,B:INT>\"", "fieldName" -> "`q`")
-      )
     }
   }
 

From ec8c22b5a57e8e5887ff0031608963dabc031be2 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sun, 20 Aug 2023 09:39:07 +0800
Subject: [PATCH 271/986] [SPARK-44880][UI] Remove unnecessary right curly
 brace at the end of the thread locks info

### What changes were proposed in this pull request?

Remove unnecessary curly braces at the end of the thread locks info.

### Why are the changes needed?

<img width="1405" alt="image" src="https://github.com/apache/spark/assets/8326978/34bb71e9-1982-4856-bb55-e10cd6fcf707">

the right curly brace is dangling.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing ut

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42571 from yaooqinn/SPARK-44880.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit 3f380b9ecc8b27f6965b554061572e0990f05132)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 85a8ffc6d2f60..3b0efffedec6f 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2108,9 +2108,9 @@ private[spark] object Utils
     def lockString: String = {
       lock match {
         case monitor: MonitorInfo =>
-          s"Monitor(${lock.getClassName}@${lock.getIdentityHashCode}})"
+          s"Monitor(${lock.getClassName}@${monitor.getIdentityHashCode})"
         case _ =>
-          s"Lock(${lock.getClassName}@${lock.getIdentityHashCode}})"
+          s"Lock(${lock.getClassName}@${lock.getIdentityHashCode})"
       }
     }
   }

From 950ca5d6767f1c8eed9fdbd10ec455c46b0b6a40 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 21 Aug 2023 09:16:11 +0900
Subject: [PATCH 272/986] [SPARK-44882][PYTHON][CONNECT] Remove function
 uuid/random/chr from PySpark

### What changes were proposed in this pull request?
Remove function uuid/random/chr from PySpark

### Why are the changes needed?
The three functions are controversial and needs further discussion, we can add them back in the future.

- `uuid` and `random` are also the names of [built-in modules](https://docs.python.org/3/library/index.html),

- `chr` is the name of a [built-in function](https://docs.python.org/3/library/functions.html)

This PR is to avoid namespace conflict which may break existing workloads, e.g.
```
import uuid
from pyspark.sql.functions import *
print(uuid.uuid4())
```

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
updated CI

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42573 from zhengruifeng/del_functions.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 169af1191fcea318087ab8a528a7c98b16e2aea7)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../reference/pyspark.sql/functions.rst       |  3 -
 python/pyspark/sql/connect/functions.py       | 26 ------
 python/pyspark/sql/functions.py               | 81 -------------------
 python/pyspark/sql/tests/test_functions.py    |  3 +
 4 files changed, 3 insertions(+), 110 deletions(-)

diff --git a/python/docs/source/reference/pyspark.sql/functions.rst b/python/docs/source/reference/pyspark.sql/functions.rst
index c5eb92c92a71d..c5194311db860 100644
--- a/python/docs/source/reference/pyspark.sql/functions.rst
+++ b/python/docs/source/reference/pyspark.sql/functions.rst
@@ -387,7 +387,6 @@ String Functions
     char
     character_length
     char_length
-    chr
     concat_ws
     contains
     decode
@@ -503,12 +502,10 @@ Misc Functions
     hll_sketch_estimate
     hll_union
     java_method
-    random
     stack
     try_aes_decrypt
     typeof
     user
-    uuid
     version
 
 Predicate Functions
diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index a92f89c0f6c76..bfffc86c953a6 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -2652,13 +2652,6 @@ def character_length(str: "ColumnOrName") -> Column:
 character_length.__doc__ = pysparkfuncs.character_length.__doc__
 
 
-def chr(col: "ColumnOrName") -> Column:
-    return _invoke_function_over_columns("chr", col)
-
-
-chr.__doc__ = pysparkfuncs.chr.__doc__
-
-
 def contains(left: "ColumnOrName", right: "ColumnOrName") -> Column:
     return _invoke_function_over_columns("contains", left, right)
 
@@ -3694,13 +3687,6 @@ def nvl2(col1: "ColumnOrName", col2: "ColumnOrName", col3: "ColumnOrName") -> Co
 nvl2.__doc__ = pysparkfuncs.nvl2.__doc__
 
 
-def uuid() -> Column:
-    return _invoke_function_over_columns("uuid")
-
-
-uuid.__doc__ = pysparkfuncs.uuid.__doc__
-
-
 def aes_encrypt(
     input: "ColumnOrName",
     key: "ColumnOrName",
@@ -3810,18 +3796,6 @@ def stack(*cols: "ColumnOrName") -> Column:
 stack.__doc__ = pysparkfuncs.stack.__doc__
 
 
-def random(
-    seed: Optional["ColumnOrName"] = None,
-) -> Column:
-    if seed is not None:
-        return _invoke_function_over_columns("random", seed)
-    else:
-        return _invoke_function_over_columns("random")
-
-
-random.__doc__ = pysparkfuncs.random.__doc__
-
-
 def bitmap_bit_position(col: "ColumnOrName") -> Column:
     return _invoke_function_over_columns("bitmap_bit_position", col)
 
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index c6d6d78802737..39458a009d4ee 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -10331,28 +10331,6 @@ def character_length(str: "ColumnOrName") -> Column:
     return _invoke_function_over_columns("character_length", str)
 
 
-@try_remote_functions
-def chr(col: "ColumnOrName") -> Column:
-    """
-    Returns the ASCII character having the binary equivalent to `col`.
-    If col is larger than 256 the result is equivalent to chr(col % 256)
-
-    .. versionadded:: 3.5.0
-
-    Parameters
-    ----------
-    col : :class:`~pyspark.sql.Column` or str
-        Input column or strings.
-
-    Examples
-    --------
-    >>> df = spark.createDataFrame([(65,)], ['a'])
-    >>> df.select(chr(df.a).alias('r')).collect()
-    [Row(r='A')]
-    """
-    return _invoke_function_over_columns("chr", col)
-
-
 def try_to_binary(col: "ColumnOrName", format: Optional["ColumnOrName"] = None) -> Column:
     """
     This is a special version of `to_binary` that performs the same operation, but returns a NULL
@@ -14811,27 +14789,6 @@ def nvl2(col1: "ColumnOrName", col2: "ColumnOrName", col3: "ColumnOrName") -> Co
     return _invoke_function_over_columns("nvl2", col1, col2, col3)
 
 
-@try_remote_functions
-def uuid() -> Column:
-    """
-    Returns an universally unique identifier (UUID) string. The value is returned as a canonical
-    UUID 36-character string.
-
-    .. versionadded:: 3.5.0
-
-    Examples
-    --------
-    >>> df = spark.range(1)
-    >>> df.select(uuid()).show(truncate=False) # doctest: +SKIP
-    +------------------------------------+
-    |uuid()                              |
-    +------------------------------------+
-    |3dcc5174-9da9-41ca-815f-34c05c6d3926|
-    +------------------------------------+
-    """
-    return _invoke_function_over_columns("uuid")
-
-
 @try_remote_functions
 def aes_encrypt(
     input: "ColumnOrName",
@@ -15246,44 +15203,6 @@ def stack(*cols: "ColumnOrName") -> Column:
     return _invoke_function_over_seq_of_columns("stack", cols)
 
 
-@try_remote_functions
-def random(
-    seed: Optional["ColumnOrName"] = None,
-) -> Column:
-    """
-    Returns a random value with independent and identically distributed (i.i.d.) uniformly
-    distributed values in [0, 1).
-
-    .. versionadded:: 3.5.0
-
-    Parameters
-    ----------
-    cols : :class:`~pyspark.sql.Column` or str
-        The seed for the random generator.
-
-    Examples
-    --------
-    >>> df = spark.range(1)
-    >>> df.select(random()).show(truncate=False) # doctest: +SKIP
-    +--------------------+
-    |rand()              |
-    +--------------------+
-    |0.026810514415005593|
-    +--------------------+
-
-    >>> df.select(random(lit(1))).show(truncate=False) # doctest: +SKIP
-    +------------------+
-    |rand(1)           |
-    +------------------+
-    |0.4836508543933039|
-    +------------------+
-    """
-    if seed is not None:
-        return _invoke_function_over_columns("random", seed)
-    else:
-        return _invoke_function_over_columns("random")
-
-
 @try_remote_functions
 def bitmap_bit_position(col: "ColumnOrName") -> Column:
     """
diff --git a/python/pyspark/sql/tests/test_functions.py b/python/pyspark/sql/tests/test_functions.py
index 344dddb4a6410..d80a3cf52f15f 100644
--- a/python/pyspark/sql/tests/test_functions.py
+++ b/python/pyspark/sql/tests/test_functions.py
@@ -63,6 +63,9 @@ def test_function_parity(self):
             "any",  # equivalent to python ~some
             "len",  # equivalent to python ~length
             "udaf",  # used for creating UDAF's which are not supported in PySpark
+            "random",  # namespace conflict with python built-in module
+            "uuid",  # namespace conflict with python built-in module
+            "chr",  # namespace conflict with python built-in function
         ]
 
         jvm_fn_set.difference_update(jvm_excluded_fn)

From 646562027b80e72c987ce9e710eea6c71cefdfbb Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Mon, 21 Aug 2023 09:20:18 +0900
Subject: [PATCH 273/986] [SPARK-44876][PYTHON] Fix Arrow-optimized Python UDF
 on Spark Connect
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Fixes Arrow-optimized Python UDF on Spark Connect.

Also enables the missing test `pyspark.sql.tests.connect.test_parity_arrow_python_udf`.

### Why are the changes needed?

`pyspark.sql.tests.connect.test_parity_arrow_python_udf` is not listed in `dev/sparktestsupport/modules.py`, and it fails when running manually.

```
======================================================================
ERROR [0.072s]: test_register (pyspark.sql.tests.connect.test_parity_arrow_python_udf.ArrowPythonUDFParityTests)
----------------------------------------------------------------------
Traceback (most recent call last):
...
pyspark.errors.exceptions.base.PySparkRuntimeError: [SCHEMA_MISMATCH_FOR_PANDAS_UDF] Result vector from pandas_udf was not the required length: expected 1, got 38.
```

The failure had not been captured because the test is missing in the `module.py` file.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests.

Closes #42568 from ueshin/issues/SPARK-44876/test_parity_arrow_python_udf.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 75c0b8b61ca53c3763c8e43e83b93b34688ea246)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/sparktestsupport/modules.py   |  1 +
 python/pyspark/sql/connect/udf.py | 20 +++++------
 python/pyspark/sql/udf.py         | 60 ++++++-------------------------
 python/pyspark/worker.py          | 54 ++++++++++++++++++++++++++--
 4 files changed, 73 insertions(+), 62 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 4435d19810b30..25309b75cce27 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -842,6 +842,7 @@ def __hash__(self):
         "pyspark.sql.tests.connect.test_connect_function",
         "pyspark.sql.tests.connect.test_connect_column",
         "pyspark.sql.tests.connect.test_parity_arrow",
+        "pyspark.sql.tests.connect.test_parity_arrow_python_udf",
         "pyspark.sql.tests.connect.test_parity_datasources",
         "pyspark.sql.tests.connect.test_parity_errors",
         "pyspark.sql.tests.connect.test_parity_catalog",
diff --git a/python/pyspark/sql/connect/udf.py b/python/pyspark/sql/connect/udf.py
index eb0541b936925..2636777e5f6fb 100644
--- a/python/pyspark/sql/connect/udf.py
+++ b/python/pyspark/sql/connect/udf.py
@@ -54,8 +54,6 @@ def _create_py_udf(
     returnType: "DataTypeOrString",
     useArrow: Optional[bool] = None,
 ) -> "UserDefinedFunctionLike":
-    from pyspark.sql.udf import _create_arrow_py_udf
-
     if useArrow is None:
         is_arrow_enabled = False
         try:
@@ -74,22 +72,22 @@ def _create_py_udf(
     else:
         is_arrow_enabled = useArrow
 
-    regular_udf = _create_udf(f, returnType, PythonEvalType.SQL_BATCHED_UDF)
-    try:
-        is_func_with_args = len(getfullargspec(f).args) > 0
-    except TypeError:
-        is_func_with_args = False
+    eval_type: int = PythonEvalType.SQL_BATCHED_UDF
+
     if is_arrow_enabled:
+        try:
+            is_func_with_args = len(getfullargspec(f).args) > 0
+        except TypeError:
+            is_func_with_args = False
         if is_func_with_args:
-            return _create_arrow_py_udf(regular_udf)
+            eval_type = PythonEvalType.SQL_ARROW_BATCHED_UDF
         else:
             warnings.warn(
                 "Arrow optimization for Python UDFs cannot be enabled.",
                 UserWarning,
             )
-            return regular_udf
-    else:
-        return regular_udf
+
+    return _create_udf(f, returnType, eval_type)
 
 
 def _create_udf(
diff --git a/python/pyspark/sql/udf.py b/python/pyspark/sql/udf.py
index f25f525e33be3..7d7784dd5226d 100644
--- a/python/pyspark/sql/udf.py
+++ b/python/pyspark/sql/udf.py
@@ -32,7 +32,6 @@
 from pyspark.rdd import _prepare_for_python_RDD, PythonEvalType
 from pyspark.sql.column import Column, _to_java_column, _to_java_expr, _to_seq
 from pyspark.sql.types import (
-    BinaryType,
     DataType,
     StringType,
     StructType,
@@ -131,58 +130,24 @@ def _create_py_udf(
     else:
         is_arrow_enabled = useArrow
 
-    regular_udf = _create_udf(f, returnType, PythonEvalType.SQL_BATCHED_UDF)
-    try:
-        is_func_with_args = len(getfullargspec(f).args) > 0
-    except TypeError:
-        is_func_with_args = False
+    eval_type: int = PythonEvalType.SQL_BATCHED_UDF
+
     if is_arrow_enabled:
+        try:
+            is_func_with_args = len(getfullargspec(f).args) > 0
+        except TypeError:
+            is_func_with_args = False
         if is_func_with_args:
-            return _create_arrow_py_udf(regular_udf)
+            require_minimum_pandas_version()
+            require_minimum_pyarrow_version()
+            eval_type = PythonEvalType.SQL_ARROW_BATCHED_UDF
         else:
             warnings.warn(
                 "Arrow optimization for Python UDFs cannot be enabled.",
                 UserWarning,
             )
-            return regular_udf
-    else:
-        return regular_udf
-
-
-def _create_arrow_py_udf(regular_udf):  # type: ignore
-    """Create an Arrow-optimized Python UDF out of a regular Python UDF."""
-    require_minimum_pandas_version()
-    require_minimum_pyarrow_version()
-
-    import pandas as pd
-    from pyspark.sql.pandas.functions import _create_pandas_udf
 
-    f = regular_udf.func
-    return_type = regular_udf.returnType
-
-    # "result_func" ensures the result of a Python UDF to be consistent with/without Arrow
-    # optimization.
-    # Otherwise, an Arrow-optimized Python UDF raises "pyarrow.lib.ArrowTypeError: Expected a
-    # string or bytes dtype, got ..." whereas a non-Arrow-optimized Python UDF returns
-    # successfully.
-    result_func = lambda pdf: pdf  # noqa: E731
-    if type(return_type) == StringType:
-        result_func = lambda r: str(r) if r is not None else r  # noqa: E731
-    elif type(return_type) == BinaryType:
-        result_func = lambda r: bytes(r) if r is not None else r  # noqa: E731
-
-    def vectorized_udf(*args: pd.Series) -> pd.Series:
-        return pd.Series(result_func(f(*a)) for a in zip(*args))
-
-    # Regular UDFs can take callable instances too.
-    vectorized_udf.__name__ = f.__name__ if hasattr(f, "__name__") else f.__class__.__name__
-    vectorized_udf.__module__ = f.__module__ if hasattr(f, "__module__") else f.__class__.__module__
-    vectorized_udf.__doc__ = f.__doc__
-    pudf = _create_pandas_udf(vectorized_udf, return_type, PythonEvalType.SQL_ARROW_BATCHED_UDF)
-    # Keep the attributes as if this is a regular Python UDF.
-    pudf.func = f
-    pudf.returnType = return_type
-    return pudf
+    return _create_udf(f, returnType, eval_type)
 
 
 class UserDefinedFunction:
@@ -637,10 +602,7 @@ def register(
                 evalType=f.evalType,
                 deterministic=f.deterministic,
             )
-            if f.evalType == PythonEvalType.SQL_ARROW_BATCHED_UDF:
-                register_udf = _create_arrow_py_udf(source_udf)._unwrapped
-            else:
-                register_udf = source_udf._unwrapped  # type: ignore[attr-defined]
+            register_udf = source_udf._unwrapped  # type: ignore[attr-defined]
             return_udf = register_udf
         else:
             if returnType is None:
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 9463e6d44846e..edbfad4a5dc23 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -63,7 +63,7 @@
     ApplyInPandasWithStateSerializer,
 )
 from pyspark.sql.pandas.types import to_arrow_type
-from pyspark.sql.types import StructType, _parse_datatype_json_string
+from pyspark.sql.types import BinaryType, StringType, StructType, _parse_datatype_json_string
 from pyspark.util import fail_on_stopiteration, try_simplify_traceback
 from pyspark import shuffle
 from pyspark.errors import PySparkRuntimeError, PySparkTypeError
@@ -138,6 +138,54 @@ def verify_result_length(result, length):
     )
 
 
+def wrap_arrow_batch_udf(f, return_type):
+    import pandas as pd
+
+    arrow_return_type = to_arrow_type(return_type)
+
+    # "result_func" ensures the result of a Python UDF to be consistent with/without Arrow
+    # optimization.
+    # Otherwise, an Arrow-optimized Python UDF raises "pyarrow.lib.ArrowTypeError: Expected a
+    # string or bytes dtype, got ..." whereas a non-Arrow-optimized Python UDF returns
+    # successfully.
+    result_func = lambda pdf: pdf  # noqa: E731
+    if type(return_type) == StringType:
+        result_func = lambda r: str(r) if r is not None else r  # noqa: E731
+    elif type(return_type) == BinaryType:
+        result_func = lambda r: bytes(r) if r is not None else r  # noqa: E731
+
+    def evaluate(*args: pd.Series) -> pd.Series:
+        return pd.Series(result_func(f(*a)) for a in zip(*args))
+
+    def verify_result_type(result):
+        if not hasattr(result, "__len__"):
+            pd_type = "pandas.DataFrame" if type(return_type) == StructType else "pandas.Series"
+            raise PySparkTypeError(
+                error_class="UDF_RETURN_TYPE",
+                message_parameters={
+                    "expected": pd_type,
+                    "actual": type(result).__name__,
+                },
+            )
+        return result
+
+    def verify_result_length(result, length):
+        if len(result) != length:
+            raise PySparkRuntimeError(
+                error_class="SCHEMA_MISMATCH_FOR_PANDAS_UDF",
+                message_parameters={
+                    "expected": str(length),
+                    "actual": str(len(result)),
+                },
+            )
+        return result
+
+    return lambda *a: (
+        verify_result_length(verify_result_type(evaluate(*a)), len(a[0])),
+        arrow_return_type,
+    )
+
+
 def wrap_pandas_batch_iter_udf(f, return_type):
     arrow_return_type = to_arrow_type(return_type)
     iter_type_label = "pandas.DataFrame" if type(return_type) == StructType else "pandas.Series"
@@ -503,8 +551,10 @@ def read_single_udf(pickleSer, infile, eval_type, runner_conf, udf_index):
         func = fail_on_stopiteration(chained_func)
 
     # the last returnType will be the return type of UDF
-    if eval_type in (PythonEvalType.SQL_SCALAR_PANDAS_UDF, PythonEvalType.SQL_ARROW_BATCHED_UDF):
+    if eval_type == PythonEvalType.SQL_SCALAR_PANDAS_UDF:
         return arg_offsets, wrap_scalar_pandas_udf(func, return_type)
+    elif eval_type == PythonEvalType.SQL_ARROW_BATCHED_UDF:
+        return arg_offsets, wrap_arrow_batch_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF:
         return arg_offsets, wrap_pandas_batch_iter_udf(func, return_type)
     elif eval_type == PythonEvalType.SQL_MAP_PANDAS_ITER_UDF:

From b0de706aac780de7d3785bf69174c7a29f849e23 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Mon, 21 Aug 2023 08:31:02 +0800
Subject: [PATCH 274/986] [SPARK-44858][PYTHON][DOCS] Refine dostring of
 DataFrame.isEmpty

### What changes were proposed in this pull request?

This PR refines the docstring of DataFrame.isEmpty and adds more examples.

### Why are the changes needed?

To make PySpark documentation better

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

doctest

Closes #42547 from allisonwang-db/spark-44858-refine-is-empty.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 52c4673ed04f377b49299f078835437a1deeaf99)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/dataframe.py | 33 ++++++++++++++++++++++++++++++---
 1 file changed, 30 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 03aaee8f2ec05..44891090ef6a7 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -832,7 +832,8 @@ def isStreaming(self) -> bool:
         return self._jdf.isStreaming()
 
     def isEmpty(self) -> bool:
-        """Returns ``True`` if this :class:`DataFrame` is empty.
+        """
+        Checks if the :class:`DataFrame` is empty and returns a boolean value.
 
         .. versionadded:: 3.3.0
 
@@ -842,16 +843,42 @@ def isEmpty(self) -> bool:
         Returns
         -------
         bool
-            Whether it's empty DataFrame or not.
+            Returns ``True`` if the DataFrame is empty, ``False`` otherwise.
+
+        See Also
+        --------
+        DataFrame.count : Counts the number of rows in DataFrame.
+
+        Notes
+        -----
+        - Unlike `count()`, this method does not trigger any computation.
+        - An empty DataFrame has no rows. It may have columns, but no data.
 
         Examples
         --------
+        Example 1: Checking if an empty DataFrame is empty
+
         >>> df_empty = spark.createDataFrame([], 'a STRING')
-        >>> df_non_empty = spark.createDataFrame(["a"], 'STRING')
         >>> df_empty.isEmpty()
         True
+
+        Example 2: Checking if a non-empty DataFrame is empty
+
+        >>> df_non_empty = spark.createDataFrame(["a"], 'STRING')
         >>> df_non_empty.isEmpty()
         False
+
+        Example 3: Checking if a DataFrame with null values is empty
+
+        >>> df_nulls = spark.createDataFrame([(None, None)], 'a STRING, b INT')
+        >>> df_nulls.isEmpty()
+        False
+
+        Example 4: Checking if a DataFrame with no rows but with columns is empty
+
+        >>> df_no_rows = spark.createDataFrame([], 'id INT, value STRING')
+        >>> df_no_rows.isEmpty()
+        True
         """
         return self._jdf.isEmpty()
 

From 71fdba45ec9822f03bb0a49e9321f1fc63bbf9ac Mon Sep 17 00:00:00 2001
From: bogao007 <bo.gao@databricks.com>
Date: Mon, 21 Aug 2023 09:12:14 +0800
Subject: [PATCH 275/986] [SPARK-44877][CONNECT][PYTHON] Support python
 protobuf functions for Spark Connect

### What changes were proposed in this pull request?

Support python protobuf functions for Spark Connect

### Why are the changes needed?

Support python protobuf functions for Spark Connect

### Does this PR introduce _any_ user-facing change?

Yes

### How was this patch tested?

added doctest and did manual test
```
bo.gaoPF2WXGJ3KT spark % bin/pyspark --remote "local[*]" --jars connector/protobuf/target/scala-2.12/spark-protobuf_2.12-4.0.0-SNAPSHOT.jar
Python 3.9.6 (default, May  7 2023, 23:32:44)
[Clang 14.0.3 (clang-1403.0.22.14.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
23/08/18 10:47:19 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
/Users/bo.gao/workplace/spark/python/pyspark/pandas/__init__.py:50: UserWarning: 'PYARROW_IGNORE_TIMEZONE' environment variable was not set. It is required to set this environment variable to '1' in both driver and executor sides if you use pyarrow>=2.0.0. pandas-on-Spark will set it for you but it does not work if there is a Spark context already launched.
  warnings.warn(
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 4.0.0.dev0
      /_/

Using Python version 3.9.6 (default, May  7 2023 23:32:44)
Client connected to the Spark Connect server at localhost
SparkSession available as 'spark'.
>>> from pyspark.sql.protobuf.functions import from_protobuf, to_protobuf
>>> import tempfile
>>> data = [([(2, "Alice", 13093020)])]
>>> ddl_schema = "value struct<age: INTEGER, name: STRING, score: LONG>"
>>> df = spark.createDataFrame(data, ddl_schema)
>>> desc_hex = str('0ACE010A41636F6E6E6563746F722F70726F746F6275662F7372632F746573742F726'
...     '5736F75726365732F70726F746F6275662F7079737061726B5F746573742E70726F746F121D6F72672E61'
...     '70616368652E737061726B2E73716C2E70726F746F627566224B0A0D53696D706C654D657373616765121'
...     '00A03616765180120012805520361676512120A046E616D6518022001280952046E616D6512140A057363'
...     '6F7265180320012803520573636F72654215421353696D706C654D65737361676550726F746F736206707'
...     '26F746F33')
>>> with tempfile.TemporaryDirectory() as tmp_dir:
...      desc_file_path = "%s/pyspark_test.desc" % tmp_dir
...      with open(desc_file_path, "wb") as f:
...          _ = f.write(bytearray.fromhex(desc_hex))
...          f.flush()
...          message_name = 'SimpleMessage'
...          proto_df = df.select(
...              to_protobuf(df.value, message_name, desc_file_path).alias("value"))
...          proto_df.show(truncate=False)
...          proto_df_1 = proto_df.select( # With file name for descriptor
...              from_protobuf(proto_df.value, message_name, desc_file_path).alias("value"))
...          proto_df_1.show(truncate=False)
...          proto_df_2 = proto_df.select( # With binary for descriptor
...              from_protobuf(proto_df.value, message_name,
...                            binaryDescriptorSet = bytearray.fromhex(desc_hex))
...              .alias("value"))
...          proto_df_2.show(truncate=False)
...
+-------------------------------------------+
|value                                      |
+-------------------------------------------+
|[08 02 12 05 41 6C 69 63 65 18 9C 91 9F 06]|
+-------------------------------------------+

+--------------------+
|value               |
+--------------------+
|{2, Alice, 13093020}|
+--------------------+

+--------------------+
|value               |
+--------------------+
|{2, Alice, 13093020}|
+--------------------+
```

```
>>> data = [([(1668035962, 2020)])]
>>> ddl_schema = "value struct<seconds: LONG, nanos: INT>"
>>> df = spark.createDataFrame(data, ddl_schema)
>>> message_class_name = "org.sparkproject.spark_protobuf.protobuf.Timestamp"
>>> to_proto_df = df.select(to_protobuf(df.value, message_class_name).alias("value"))
>>> from_proto_df = to_proto_df.select(
...      from_protobuf(to_proto_df.value, message_class_name).alias("value"))
>>> from_proto_df.show(truncate=False)
+------------------+
|value             |
+------------------+
|{1668035962, 2020}|
+------------------+
```

```
>>> import tempfile
>>> data = [([(2, "Alice", 13093020)])]
>>> ddl_schema = "value struct<age: INTEGER, name: STRING, score: LONG>"
>>> df = spark.createDataFrame(data, ddl_schema)
>>> desc_hex = str('0ACE010A41636F6E6E6563746F722F70726F746F6275662F7372632F746573742F726'
...     '5736F75726365732F70726F746F6275662F7079737061726B5F746573742E70726F746F121D6F72672E61'
...     '70616368652E737061726B2E73716C2E70726F746F627566224B0A0D53696D706C654D657373616765121'
...     '00A03616765180120012805520361676512120A046E616D6518022001280952046E616D6512140A057363'
...     '6F7265180320012803520573636F72654215421353696D706C654D65737361676550726F746F736206707'
...     '26F746F33')
>>> with tempfile.TemporaryDirectory() as tmp_dir:
...      desc_file_path = "%s/pyspark_test.desc" % tmp_dir
...      with open(desc_file_path, "wb") as f:
...          _ = f.write(bytearray.fromhex(desc_hex))
...          f.flush()
...          message_name = 'SimpleMessage'
...          proto_df = df.select( # With file name for descriptor
...              to_protobuf(df.value, message_name, desc_file_path).alias("suite"))
...          proto_df.show(truncate=False)
...          proto_df_2 = df.select( # With binary for descriptor
...              to_protobuf(df.value, message_name,
...                          binaryDescriptorSet=bytearray.fromhex(desc_hex))
...              .alias("suite"))
...          proto_df_2.show(truncate=False)
...
+-------------------------------------------+
|suite                                      |
+-------------------------------------------+
|[08 02 12 05 41 6C 69 63 65 18 9C 91 9F 06]|
+-------------------------------------------+

+-------------------------------------------+
|suite                                      |
+-------------------------------------------+
|[08 02 12 05 41 6C 69 63 65 18 9C 91 9F 06]|
+-------------------------------------------+
```

```
>>> data = [([(1668035962, 2020)])]
>>> ddl_schema = "value struct<seconds: LONG, nanos: INT>"
>>> df = spark.createDataFrame(data, ddl_schema)
>>> message_class_name = "org.sparkproject.spark_protobuf.protobuf.Timestamp"
>>> proto_df = df.select(to_protobuf(df.value, message_class_name).alias("suite"))
>>> proto_df.show(truncate=False)
+----------------------------+
|suite                       |
+----------------------------+
|[08 FA EA B0 9B 06 10 E4 0F]|
+----------------------------+
```

Closes #42563 from bogao007/python-connect-protobuf.

Authored-by: bogao007 <bo.gao@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 5151b5ba9630b042c659e98b9fd3f7bdb6fc19bd)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 assembly/pom.xml                              |   6 +
 dev/sparktestsupport/modules.py               |  25 +--
 .../pyspark/sql/connect/protobuf/__init__.py  |  18 ++
 .../pyspark/sql/connect/protobuf/functions.py | 166 ++++++++++++++++++
 python/pyspark/sql/protobuf/functions.py      |   6 +-
 python/pyspark/sql/utils.py                   |  16 ++
 6 files changed, 224 insertions(+), 13 deletions(-)
 create mode 100644 python/pyspark/sql/connect/protobuf/__init__.py
 create mode 100644 python/pyspark/sql/connect/protobuf/functions.py

diff --git a/assembly/pom.xml b/assembly/pom.xml
index d97f724f0b5ff..45b68dd81cb9a 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -166,6 +166,12 @@
           <version>${project.version}</version>
           <scope>provided</scope>
         </dependency>
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-protobuf_${scala.binary.version}</artifactId>
+          <version>${project.version}</version>
+          <scope>provided</scope>
+        </dependency>
       </dependencies>
     </profile>
     <profile>
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 25309b75cce27..2af7b83c7a0ff 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -271,27 +271,27 @@ def __hash__(self):
     ],
 )
 
-connect = Module(
-    name="connect",
-    dependencies=[hive, avro],
+protobuf = Module(
+    name="protobuf",
+    dependencies=[sql],
     source_file_regexes=[
-        "connector/connect",
+        "connector/protobuf",
     ],
-    build_profile_flags=["-Pconnect"],
     sbt_test_goals=[
-        "connect/test",
-        "connect-client-jvm/test",
+        "protobuf/test",
     ],
 )
 
-protobuf = Module(
-    name="protobuf",
-    dependencies=[sql],
+connect = Module(
+    name="connect",
+    dependencies=[hive, avro, protobuf],
     source_file_regexes=[
-        "connector/protobuf",
+        "connector/connect",
     ],
+    build_profile_flags=["-Pconnect"],
     sbt_test_goals=[
-        "protobuf/test",
+        "connect/test",
+        "connect-client-jvm/test",
     ],
 )
 
@@ -834,6 +834,7 @@ def __hash__(self):
         "pyspark.sql.connect.dataframe",
         "pyspark.sql.connect.functions",
         "pyspark.sql.connect.avro.functions",
+        "pyspark.sql.connect.protobuf.functions",
         "pyspark.sql.connect.streaming.readwriter",
         "pyspark.sql.connect.streaming.query",
         # sql unittests
diff --git a/python/pyspark/sql/connect/protobuf/__init__.py b/python/pyspark/sql/connect/protobuf/__init__.py
new file mode 100644
index 0000000000000..dc81e9f515ee1
--- /dev/null
+++ b/python/pyspark/sql/connect/protobuf/__init__.py
@@ -0,0 +1,18 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Spark Connect Python Client - Protobuf Functions"""
diff --git a/python/pyspark/sql/connect/protobuf/functions.py b/python/pyspark/sql/connect/protobuf/functions.py
new file mode 100644
index 0000000000000..56119f4bc4eb9
--- /dev/null
+++ b/python/pyspark/sql/connect/protobuf/functions.py
@@ -0,0 +1,166 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+A collections of builtin protobuf functions
+"""
+
+from pyspark.sql.connect.utils import check_dependencies
+
+check_dependencies(__name__)
+
+from typing import Dict, Optional, TYPE_CHECKING
+
+from pyspark.sql.protobuf import functions as PyProtobufFunctions
+
+from pyspark.sql.connect.column import Column
+from pyspark.sql.connect.functions import _invoke_function, _to_col, _options_to_col, lit
+
+if TYPE_CHECKING:
+    from pyspark.sql.connect._typing import ColumnOrName
+
+
+def from_protobuf(
+    data: "ColumnOrName",
+    messageName: str,
+    descFilePath: Optional[str] = None,
+    options: Optional[Dict[str, str]] = None,
+    binaryDescriptorSet: Optional[bytes] = None,
+) -> Column:
+    binary_proto = None
+    if binaryDescriptorSet is not None:
+        binary_proto = binaryDescriptorSet
+    elif descFilePath is not None:
+        binary_proto = _read_descriptor_set_file(descFilePath)
+
+    # TODO: simplify the code when _invoke_function() supports None as input.
+    if binary_proto is not None:
+        if options is None:
+            return _invoke_function(
+                "from_protobuf", _to_col(data), lit(messageName), lit(binary_proto)
+            )
+        else:
+            return _invoke_function(
+                "from_protobuf",
+                _to_col(data),
+                lit(messageName),
+                lit(binary_proto),
+                _options_to_col(options),
+            )
+    else:
+        if options is None:
+            return _invoke_function("from_protobuf", _to_col(data), lit(messageName))
+        else:
+            return _invoke_function(
+                "from_protobuf", _to_col(data), lit(messageName), _options_to_col(options)
+            )
+
+
+from_protobuf.__doc__ = PyProtobufFunctions.from_protobuf.__doc__
+
+
+def to_protobuf(
+    data: "ColumnOrName",
+    messageName: str,
+    descFilePath: Optional[str] = None,
+    options: Optional[Dict[str, str]] = None,
+    binaryDescriptorSet: Optional[bytes] = None,
+) -> Column:
+    binary_proto = None
+    if binaryDescriptorSet is not None:
+        binary_proto = binaryDescriptorSet
+    elif descFilePath is not None:
+        binary_proto = _read_descriptor_set_file(descFilePath)
+
+    # TODO: simplify the code when _invoke_function() supports None as input.
+    if binary_proto is not None:
+        if options is None:
+            return _invoke_function(
+                "to_protobuf", _to_col(data), lit(messageName), lit(binary_proto)
+            )
+        else:
+            return _invoke_function(
+                "to_protobuf",
+                _to_col(data),
+                lit(messageName),
+                lit(binary_proto),
+                _options_to_col(options),
+            )
+    else:
+        if options is None:
+            return _invoke_function("to_protobuf", _to_col(data), lit(messageName))
+        else:
+            return _invoke_function(
+                "to_protobuf", _to_col(data), lit(messageName), _options_to_col(options)
+            )
+
+
+to_protobuf.__doc__ = PyProtobufFunctions.to_protobuf.__doc__
+
+
+def _read_descriptor_set_file(filePath: str) -> bytes:
+    with open(filePath, "rb") as f:
+        return f.read()
+
+
+def _test() -> None:
+    import os
+    import sys
+    from pyspark.testing.utils import search_jar
+
+    protobuf_jar = search_jar("connector/protobuf", "spark-protobuf-assembly-", "spark-protobuf")
+    if protobuf_jar is None:
+        print(
+            "Skipping all Protobuf Python tests as the optional Protobuf project was "
+            "not compiled into a JAR. To run these tests, "
+            "you need to build Spark with 'build/sbt package' or "
+            "'build/mvn package' before running this test."
+        )
+        sys.exit(0)
+    else:
+        existing_args = os.environ.get("PYSPARK_SUBMIT_ARGS", "pyspark-shell")
+        jars_args = "--jars %s" % protobuf_jar
+        os.environ["PYSPARK_SUBMIT_ARGS"] = " ".join([jars_args, existing_args])
+
+    import doctest
+    from pyspark.sql import SparkSession as PySparkSession
+    import pyspark.sql.connect.protobuf.functions
+
+    globs = pyspark.sql.connect.protobuf.functions.__dict__.copy()
+
+    globs["spark"] = (
+        PySparkSession.builder.appName("sql.protobuf.functions tests")
+        .remote("local[2]")
+        .getOrCreate()
+    )
+
+    (failure_count, test_count) = doctest.testmod(
+        pyspark.sql.connect.protobuf.functions,
+        globs=globs,
+        optionflags=doctest.ELLIPSIS
+        | doctest.NORMALIZE_WHITESPACE
+        | doctest.IGNORE_EXCEPTION_DETAIL,
+    )
+
+    globs["spark"].stop()
+
+    if failure_count:
+        sys.exit(-1)
+
+
+if __name__ == "__main__":
+    _test()
diff --git a/python/pyspark/sql/protobuf/functions.py b/python/pyspark/sql/protobuf/functions.py
index 42165938eb730..acb1a17efbd65 100644
--- a/python/pyspark/sql/protobuf/functions.py
+++ b/python/pyspark/sql/protobuf/functions.py
@@ -25,13 +25,14 @@
 from py4j.java_gateway import JVMView
 
 from pyspark.sql.column import Column, _to_java_column
-from pyspark.sql.utils import get_active_spark_context
+from pyspark.sql.utils import get_active_spark_context, try_remote_protobuf_functions
 from pyspark.util import _print_missing_jar
 
 if TYPE_CHECKING:
     from pyspark.sql._typing import ColumnOrName
 
 
+@try_remote_protobuf_functions
 def from_protobuf(
     data: "ColumnOrName",
     messageName: str,
@@ -58,6 +59,7 @@ def from_protobuf(
 
     .. versionchanged:: 3.5.0
         Supports `binaryDescriptorSet` arg to pass binary descriptor directly.
+        Supports Spark Connect.
 
     Parameters
     ----------
@@ -161,6 +163,7 @@ def from_protobuf(
     return Column(jc)
 
 
+@try_remote_protobuf_functions
 def to_protobuf(
     data: "ColumnOrName",
     messageName: str,
@@ -187,6 +190,7 @@ def to_protobuf(
 
     .. versionchanged:: 3.5.0
         Supports `binaryDescriptorSet` arg to pass binary descriptor directly.
+        Supports Spark Connect.
 
     Parameters
     ----------
diff --git a/python/pyspark/sql/utils.py b/python/pyspark/sql/utils.py
index 61486d6a8c603..02b67d96f1701 100644
--- a/python/pyspark/sql/utils.py
+++ b/python/pyspark/sql/utils.py
@@ -192,6 +192,22 @@ def wrapped(*args: Any, **kwargs: Any) -> Any:
     return cast(FuncT, wrapped)
 
 
+def try_remote_protobuf_functions(f: FuncT) -> FuncT:
+    """Mark API supported from Spark Connect."""
+
+    @functools.wraps(f)
+    def wrapped(*args: Any, **kwargs: Any) -> Any:
+
+        if is_remote() and "PYSPARK_NO_NAMESPACE_SHARE" not in os.environ:
+            from pyspark.sql.connect.protobuf import functions
+
+            return getattr(functions, f.__name__)(*args, **kwargs)
+        else:
+            return f(*args, **kwargs)
+
+    return cast(FuncT, wrapped)
+
+
 def try_remote_window(f: FuncT) -> FuncT:
     """Mark API supported from Spark Connect."""
 

From b179c0cb22e70da67e88b17719d3d22c815530fd Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Mon, 21 Aug 2023 12:13:53 +0900
Subject: [PATCH 276/986] [SPARK-44785][SQL][CONNECT] Convert common
 alreadyExistsExceptions and noSuchExceptions

### What changes were proposed in this pull request?

- Convert common alreadyExistsExceptions and noSuchExceptions
- Extend common alreadyExistsExceptions and noSuchExceptions to support (message, cause) constructors

### Why are the changes needed?

- Better compatibility with the existing control flow
- Better readability of errors

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

`build/sbt "connect-client-jvm/testOnly *ClientE2ETestSuite"`

Closes #42471 from heyihong/SPARK-44785.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e73487c4348c47571a3ea083a0903a7997b64a47)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../apache/spark/sql/ClientE2ETestSuite.scala | 44 +++++++++++++++++++
 .../client/GrpcExceptionConverter.scala       | 13 ++++--
 .../analysis/alreadyExistException.scala      | 36 +++++++++++++--
 .../analysis/noSuchItemsExceptions.scala      | 36 +++++++++++++--
 4 files changed, 119 insertions(+), 10 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 074cf170dd39d..1bfc1cfc7a866 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -31,6 +31,7 @@ import org.scalatest.PrivateMethodTester
 
 import org.apache.spark.SparkBuildInfo.{spark_version => SPARK_VERSION}
 import org.apache.spark.SparkException
+import org.apache.spark.sql.catalyst.analysis.{NamespaceAlreadyExistsException, NoSuchDatabaseException, NoSuchTableException, TableAlreadyExistsException, TempTableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -43,6 +44,49 @@ import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
+  test("throw NoSuchDatabaseException") {
+    intercept[NoSuchDatabaseException] {
+      spark.sql("use database123")
+    }
+  }
+
+  test("throw NoSuchTableException") {
+    intercept[NoSuchTableException] {
+      spark.catalog.getTable("test_table")
+    }
+  }
+
+  test("throw NamespaceAlreadyExistsException") {
+    try {
+      spark.sql("create database test_db")
+      intercept[NamespaceAlreadyExistsException] {
+        spark.sql("create database test_db")
+      }
+    } finally {
+      spark.sql("drop database test_db")
+    }
+  }
+
+  test("throw TempTableAlreadyExistsException") {
+    try {
+      spark.sql("create temporary view test_view as select 1")
+      intercept[TempTableAlreadyExistsException] {
+        spark.sql("create temporary view test_view as select 1")
+      }
+    } finally {
+      spark.sql("drop view test_view")
+    }
+  }
+
+  test("throw TableAlreadyExistsException") {
+    withTable("testcat.test_table") {
+      spark.sql(s"create table testcat.test_table (id int)")
+      intercept[TableAlreadyExistsException] {
+        spark.sql(s"create table testcat.test_table (id int)")
+      }
+    }
+  }
+
   test("throw ParseException") {
     intercept[ParseException] {
       spark.sql("selet 1").collect()
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index 9b8181cb88f31..cf92a53847e38 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -25,6 +25,7 @@ import io.grpc.protobuf.StatusProto
 
 import org.apache.spark.SparkException
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.analysis.{NamespaceAlreadyExistsException, NoSuchDatabaseException, NoSuchTableException, TableAlreadyExistsException, TempTableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.trees.Origin
 import org.apache.spark.util.JsonUtils
@@ -62,14 +63,20 @@ private[client] object GrpcExceptionConverter extends JsonUtils {
   }
 
   private def errorConstructor[T <: Throwable: ClassTag](
-      throwableCtr: (String, Throwable) => T): (String, (String, Throwable) => Throwable) = {
+      throwableCtr: (String, Option[Throwable]) => T)
+      : (String, (String, Option[Throwable]) => Throwable) = {
     val className = implicitly[reflect.ClassTag[T]].runtimeClass.getName
     (className, throwableCtr)
   }
 
   private val errorFactory = Map(
     errorConstructor((message, _) => new ParseException(None, message, Origin(), Origin())),
-    errorConstructor((message, cause) => new AnalysisException(message, cause = Option(cause))))
+    errorConstructor((message, cause) => new AnalysisException(message, cause = cause)),
+    errorConstructor((message, _) => new NamespaceAlreadyExistsException(message)),
+    errorConstructor((message, cause) => new TableAlreadyExistsException(message, cause)),
+    errorConstructor((message, cause) => new TempTableAlreadyExistsException(message, cause)),
+    errorConstructor((message, cause) => new NoSuchDatabaseException(message, cause)),
+    errorConstructor((message, cause) => new NoSuchTableException(message, cause)))
 
   private def errorInfoToThrowable(info: ErrorInfo, message: String): Option[Throwable] = {
     val classes =
@@ -79,7 +86,7 @@ private[client] object GrpcExceptionConverter extends JsonUtils {
       .find(errorFactory.contains)
       .map { cls =>
         val constructor = errorFactory.get(cls).get
-        constructor(message, null)
+        constructor(message, None)
       }
   }
 
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
index 625b6b7c4c540..adbfafd8d7fd0 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/alreadyExistException.scala
@@ -115,14 +115,42 @@ class TableAlreadyExistsException private(
   }
 }
 
-class TempTableAlreadyExistsException(errorClass: String, messageParameters: Map[String, String],
-                                      cause: Option[Throwable] = None)
-  extends AnalysisException(errorClass, messageParameters, cause = cause) {
+class TempTableAlreadyExistsException private(
+  message: String,
+  cause: Option[Throwable],
+  errorClass: Option[String],
+  messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(
+    errorClass: String,
+    messageParameters: Map[String, String],
+    cause: Option[Throwable] = None) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause,
+      Some(errorClass),
+      messageParameters)
+  }
+
   def this(table: String) = {
-    this(errorClass = "TEMP_TABLE_OR_VIEW_ALREADY_EXISTS",
+    this(
+      errorClass = "TEMP_TABLE_OR_VIEW_ALREADY_EXISTS",
       messageParameters = Map("relationName"
         -> quoteNameParts(AttributeNameParser.parseAttributeName(table))))
   }
+
+  def this(message: String, cause: Option[Throwable]) = {
+    this(
+      message,
+      cause,
+      errorClass = Some("TEMP_TABLE_OR_VIEW_ALREADY_EXISTS"),
+      messageParameters = Map.empty[String, String])
+  }
 }
 
 // any changes to this class should be backward compatible as it may be used by external connectors
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala
index 7da9777be1530..d6283a347cc7f 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/analysis/noSuchItemsExceptions.scala
@@ -26,9 +26,39 @@ import org.apache.spark.sql.connector.catalog.Identifier
  * Thrown by a catalog when an item cannot be found. The analyzer will rethrow the exception
  * as an [[org.apache.spark.sql.AnalysisException]] with the correct position information.
  */
-case class NoSuchDatabaseException(db: String)
-  extends AnalysisException(errorClass = "SCHEMA_NOT_FOUND",
-    messageParameters = Map("schemaName" -> quoteIdentifier(db)))
+class NoSuchDatabaseException private(
+  message: String,
+  cause: Option[Throwable],
+  errorClass: Option[String],
+  messageParameters: Map[String, String])
+  extends AnalysisException(
+    message,
+    cause = cause,
+    errorClass = errorClass,
+    messageParameters = messageParameters) {
+
+  def this(errorClass: String, messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      cause = None,
+      Some(errorClass),
+      messageParameters)
+  }
+
+  def this(db: String) = {
+    this(
+      errorClass = "SCHEMA_NOT_FOUND",
+      messageParameters = Map("schemaName" -> quoteIdentifier(db)))
+  }
+
+  def this(message: String, cause: Option[Throwable]) = {
+    this(
+      message = message,
+      cause = cause,
+      errorClass = Some("SCHEMA_NOT_FOUND"),
+      messageParameters = Map.empty[String, String])
+  }
+}
 
 // any changes to this class should be backward compatible as it may be used by external connectors
 class NoSuchNamespaceException private(

From 12fd2a0b00752a93c4df5c9a22477245f228ee73 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 21 Aug 2023 18:21:35 +0800
Subject: [PATCH 277/986] [SPARK-44889][PYTHON][CONNECT] Fix docstring of
 `monotonically_increasing_id`

### What changes were proposed in this pull request?
Fix docstring of `monotonically_increasing_id`

### Why are the changes needed?
1, using `from pyspark.sql import functions as F` to avoid implicit wildcard import;
2, using dataframe APIs instead of RDD, so the docstring can be reused in Connect;

after this fix, all dostrings are reused between vanilla PySpark and Spark Connect Python Client

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
CI

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42582 from zhengruifeng/fix_monotonically_increasing_id_docstring.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 72c62b6596d21e975c5597f8fff84b1a9d070a02)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/functions.py |  3 ---
 python/pyspark/sql/functions.py         | 19 ++++++++++++++++---
 2 files changed, 16 insertions(+), 6 deletions(-)

diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index bfffc86c953a6..9d01073e5da99 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -3900,9 +3900,6 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.functions.__dict__.copy()
 
-    # Spark Connect does not support Spark Context but the test depends on that.
-    del pyspark.sql.connect.functions.monotonically_increasing_id.__doc__
-
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.functions tests")
         .remote("local[4]")
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 39458a009d4ee..c31a00121efd7 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -4311,9 +4311,22 @@ def monotonically_increasing_id() -> Column:
 
     Examples
     --------
-    >>> df0 = sc.parallelize(range(2), 2).mapPartitions(lambda x: [(1,), (2,), (3,)]).toDF(['col1'])
-    >>> df0.select(monotonically_increasing_id().alias('id')).collect()
-    [Row(id=0), Row(id=1), Row(id=2), Row(id=8589934592), Row(id=8589934593), Row(id=8589934594)]
+    >>> from pyspark.sql import functions as F
+    >>> spark.range(0, 10, 1, 2).select(F.monotonically_increasing_id()).show()
+    +-----------------------------+
+    |monotonically_increasing_id()|
+    +-----------------------------+
+    |                            0|
+    |                            1|
+    |                            2|
+    |                            3|
+    |                            4|
+    |                   8589934592|
+    |                   8589934593|
+    |                   8589934594|
+    |                   8589934595|
+    |                   8589934596|
+    +-----------------------------+
     """
     return _invoke_function("monotonically_increasing_id")
 

From 38d244cd266b10f0b6472e6dc4ead88b6502fb6f Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Tue, 22 Aug 2023 07:46:50 +0800
Subject: [PATCH 278/986] [SPARK-44879][PYTHON][DOCS][3.5] Refine the docstring
 of spark.createDataFrame

### What changes were proposed in this pull request?

Cherry-picked from 536ac30d3ca4bc81dca6a31d1211e61f25cbbc14.

This PR refines the examples in the docstring of `spark.createDataFrame`. It also removes the examples using RDDs, as RDDs are outdated and Spark Connect won't support RDD: pyspark.errors.exceptions.base.PySparkNotImplementedError: [NOT_IMPLEMENTED] sparkContext() is not implemented.

### Why are the changes needed?

To improve PySpark documentation

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Doctest.

Closes #42590 from allisonwang-db/spark-44879-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/session.py | 118 ++++++++++++++++++++--------------
 1 file changed, 71 insertions(+), 47 deletions(-)

diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index ce197319977ab..7a492d634cf9a 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -1255,7 +1255,7 @@ def createDataFrame(  # type: ignore[misc]
             :class:`pandas.DataFrame` or :class:`numpy.ndarray`.
         schema : :class:`pyspark.sql.types.DataType`, str or list, optional
             a :class:`pyspark.sql.types.DataType` or a datatype string or a list of
-            column names, default is None.  The data type string format equals to
+            column names, default is None. The data type string format equals to
             :class:`pyspark.sql.types.DataType.simpleString`, except that top level struct type can
             omit the ``struct<>``.
 
@@ -1292,34 +1292,31 @@ def createDataFrame(  # type: ignore[misc]
         --------
         Create a DataFrame from a list of tuples.
 
-        >>> spark.createDataFrame([('Alice', 1)]).collect()
-        [Row(_1='Alice', _2=1)]
-        >>> spark.createDataFrame([('Alice', 1)], ['name', 'age']).collect()
-        [Row(name='Alice', age=1)]
+        >>> spark.createDataFrame([('Alice', 1)]).show()
+        +-----+---+
+        |   _1| _2|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
 
-        Create a DataFrame from a list of dictionaries
+        Create a DataFrame from a list of dictionaries.
 
         >>> d = [{'name': 'Alice', 'age': 1}]
-        >>> spark.createDataFrame(d).collect()
-        [Row(age=1, name='Alice')]
-
-        Create a DataFrame from an RDD.
-
-        >>> rdd = spark.sparkContext.parallelize([('Alice', 1)])
-        >>> spark.createDataFrame(rdd).collect()
-        [Row(_1='Alice', _2=1)]
-        >>> df = spark.createDataFrame(rdd, ['name', 'age'])
-        >>> df.collect()
-        [Row(name='Alice', age=1)]
-
-        Create a DataFrame from Row instances.
-
-        >>> from pyspark.sql import Row
-        >>> Person = Row('name', 'age')
-        >>> person = rdd.map(lambda r: Person(*r))
-        >>> df2 = spark.createDataFrame(person)
-        >>> df2.collect()
-        [Row(name='Alice', age=1)]
+        >>> spark.createDataFrame(d).show()
+        +---+-----+
+        |age| name|
+        +---+-----+
+        |  1|Alice|
+        +---+-----+
+
+        Create a DataFrame with column names specified.
+
+        >>> spark.createDataFrame([('Alice', 1)], ['name', 'age']).show()
+        +-----+---+
+        | name|age|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
 
         Create a DataFrame with the explicit schema specified.
 
@@ -1327,31 +1324,58 @@ def createDataFrame(  # type: ignore[misc]
         >>> schema = StructType([
         ...    StructField("name", StringType(), True),
         ...    StructField("age", IntegerType(), True)])
-        >>> df3 = spark.createDataFrame(rdd, schema)
-        >>> df3.collect()
-        [Row(name='Alice', age=1)]
+        >>> spark.createDataFrame([('Alice', 1)], schema).show()
+        +-----+---+
+        | name|age|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
+
+        Create a DataFrame with the schema in DDL formatted string.
+
+        >>> spark.createDataFrame([('Alice', 1)], "name: string, age: int").show()
+        +-----+---+
+        | name|age|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
+
+        Create an empty DataFrame.
+        When initializing an empty DataFrame in PySpark, it's mandatory to specify its schema,
+        as the DataFrame lacks data from which the schema can be inferred.
+
+        >>> spark.createDataFrame([], "name: string, age: int").show()
+        +----+---+
+        |name|age|
+        +----+---+
+        +----+---+
+
+        Create a DataFrame from Row objects.
+
+        >>> from pyspark.sql import Row
+        >>> Person = Row('name', 'age')
+        >>> df = spark.createDataFrame([Person("Alice", 1)])
+        >>> df.show()
+        +-----+---+
+        | name|age|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
 
         Create a DataFrame from a pandas DataFrame.
 
-        >>> spark.createDataFrame(df.toPandas()).collect()  # doctest: +SKIP
-        [Row(name='Alice', age=1)]
+        >>> spark.createDataFrame(df.toPandas()).show()  # doctest: +SKIP
+        +-----+---+
+        | name|age|
+        +-----+---+
+        |Alice|  1|
+        +-----+---+
         >>> spark.createDataFrame(pandas.DataFrame([[1, 2]])).collect()  # doctest: +SKIP
-        [Row(0=1, 1=2)]
-
-        Create  a DataFrame from an RDD with the schema in DDL formatted string.
-
-        >>> spark.createDataFrame(rdd, "a: string, b: int").collect()
-        [Row(a='Alice', b=1)]
-        >>> rdd = rdd.map(lambda row: row[1])
-        >>> spark.createDataFrame(rdd, "int").collect()
-        [Row(value=1)]
-
-        When the type is unmatched, it throws an exception.
-
-        >>> spark.createDataFrame(rdd, "boolean").collect() # doctest: +IGNORE_EXCEPTION_DETAIL
-        Traceback (most recent call last):
-            ...
-        Py4JJavaError: ...
+        +---+---+
+        |  0|  1|
+        +---+---+
+        |  1|  2|
+        +---+---+
         """
         SparkSession._activeSession = self
         assert self._jvm is not None

From 83556c49c87c6f29a5e5c8d3708ad4d881ebe738 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Tue, 22 Aug 2023 07:47:57 +0800
Subject: [PATCH 279/986] [SPARK-44891][PYTHON][CONNECT] Enable Doctests of
 `rand`, `randn` and `log`

### What changes were proposed in this pull request?

I roughly went thought all the skipped doctests in `pyspark.sql.functions`, and find we can enabled doctests of `rand`, `randn` and `log`, by making them deterministic:

- specify the `numPartitions` in `spark.range` for `rand` `randn`;
- changes the input values for `log`

### Why are the changes needed?
Enable Doctests of `rand`, `randn` and `log`, improve test coverage

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
enabled doctests

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42584 from zhengruifeng/make_doctest_deterministic.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 290b6327faadb5bbe25e9243955d3cf0c4ca4cfa)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/functions.py | 59 +++++++++++++++++----------------
 1 file changed, 30 insertions(+), 29 deletions(-)

diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index c31a00121efd7..b285550d0247d 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -4615,13 +4615,13 @@ def rand(seed: Optional[int] = None) -> Column:
 
     Examples
     --------
-    >>> df = spark.range(2)
-    >>> df.withColumn('rand', rand(seed=42) * 3).show() # doctest: +SKIP
+    >>> from pyspark.sql import functions as F
+    >>> spark.range(0, 2, 1, 1).withColumn('rand', F.rand(seed=42) * 3).show()
     +---+------------------+
     | id|              rand|
     +---+------------------+
-    |  0|1.4385751892400076|
-    |  1|1.7082186019706387|
+    |  0|1.8575681106759028|
+    |  1|1.5288056527339444|
     +---+------------------+
     """
     if seed is not None:
@@ -4656,14 +4656,14 @@ def randn(seed: Optional[int] = None) -> Column:
 
     Examples
     --------
-    >>> df = spark.range(2)
-    >>> df.withColumn('randn', randn(seed=42)).show() # doctest: +SKIP
-    +---+--------------------+
-    | id|               randn|
-    +---+--------------------+
-    |  0|-0.04167221574820542|
-    |  1| 0.15241403986452778|
-    +---+--------------------+
+    >>> from pyspark.sql import functions as F
+    >>> spark.range(0, 2, 1, 1).withColumn('randn', F.randn(seed=42)).show()
+    +---+------------------+
+    | id|             randn|
+    +---+------------------+
+    |  0| 2.384479054241165|
+    |  1|0.1920934041293524|
+    +---+------------------+
     """
     if seed is not None:
         return _invoke_function("randn", seed)
@@ -5158,26 +5158,27 @@ def log(arg1: Union["ColumnOrName", float], arg2: Optional["ColumnOrName"] = Non
 
     Examples
     --------
-    >>> df = spark.createDataFrame([10, 100, 1000], "INT")
-    >>> df.select(log(10.0, df.value).alias('ten')).show() # doctest: +SKIP
-    +---+
-    |ten|
-    +---+
-    |1.0|
-    |2.0|
-    |3.0|
-    +---+
+    >>> from pyspark.sql import functions as F
+    >>> df = spark.sql("SELECT * FROM VALUES (1), (2), (4) AS t(value)")
+    >>> df.select(F.log(2.0, df.value).alias('log2_value')).show()
+    +----------+
+    |log2_value|
+    +----------+
+    |       0.0|
+    |       1.0|
+    |       2.0|
+    +----------+
 
     And Natural logarithm
 
-    >>> df.select(log(df.value)).show() # doctest: +SKIP
-    +-----------------+
-    |        ln(value)|
-    +-----------------+
-    |2.302585092994046|
-    |4.605170185988092|
-    |4.605170185988092|
-    +-----------------+
+    >>> df.select(F.log(df.value).alias('ln_value')).show()
+    +------------------+
+    |          ln_value|
+    +------------------+
+    |               0.0|
+    |0.6931471805599453|
+    |1.3862943611198906|
+    +------------------+
     """
     if arg2 is None:
         return _invoke_function_over_columns("log", cast("ColumnOrName", arg1))

From 8ad4dddb17b76c6c53a65730229cdb69cd1c1889 Mon Sep 17 00:00:00 2001
From: Lingkai Kong <lingkai.kong@databricks.com>
Date: Tue, 22 Aug 2023 10:06:50 +0900
Subject: [PATCH 280/986] [SPARK-44776][CONNECT] Add ProducedRowCount to
 SparkListenerConnectOperationFinished

### What changes were proposed in this pull request?
Add ProducedRowCount field to SparkListenerConnectOperationFinished

### Why are the changes needed?
Needed for showing number of rows getting produced

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added Unit test

Closes #42454 from gjxdxh/SPARK-44776.

Authored-by: Lingkai Kong <lingkai.kong@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4646991abd7f4a47a1b8712e2017a2fae98f7c5a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/SparkConnectPlanExecution.scala |  10 +-
 .../connect/planner/SparkConnectPlanner.scala |   2 +-
 .../service/ExecuteEventsManager.scala        |  27 +-
 .../planner/SparkConnectServiceSuite.scala    | 288 ++++++++++++------
 .../service/ExecuteEventsManagerSuite.scala   |  12 +
 5 files changed, 238 insertions(+), 101 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
index 131ddf76fa443..00fec4378c572 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala
@@ -110,6 +110,7 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
       errorOnDuplicatedFieldNames = false)
 
     var numSent = 0
+    var totalNumRows: Long = 0
     def sendBatch(bytes: Array[Byte], count: Long): Unit = {
       val response = proto.ExecutePlanResponse.newBuilder().setSessionId(sessionId)
       val batch = proto.ExecutePlanResponse.ArrowBatch
@@ -120,14 +121,15 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
       response.setArrowBatch(batch)
       responseObserver.onNext(response.build())
       numSent += 1
+      totalNumRows += count
     }
 
     dataframe.queryExecution.executedPlan match {
       case LocalTableScanExec(_, rows) =>
-        executePlan.eventsManager.postFinished()
         converter(rows.iterator).foreach { case (bytes, count) =>
           sendBatch(bytes, count)
         }
+        executePlan.eventsManager.postFinished(Some(totalNumRows))
       case _ =>
         SQLExecution.withNewExecutionId(dataframe.queryExecution, Some("collectArrow")) {
           val rows = dataframe.queryExecution.executedPlan.execute()
@@ -162,8 +164,7 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
                 resultFunc = () => ())
               // Collect errors and propagate them to the main thread.
               .andThen {
-                case Success(_) =>
-                  executePlan.eventsManager.postFinished()
+                case Success(_) => // do nothing
                 case Failure(throwable) =>
                   signal.synchronized {
                     error = Some(throwable)
@@ -200,8 +201,9 @@ private[execution] class SparkConnectPlanExecution(executeHolder: ExecuteHolder)
               currentPartitionId += 1
             }
             ThreadUtils.awaitReady(future, Duration.Inf)
+            executePlan.eventsManager.postFinished(Some(totalNumRows))
           } else {
-            executePlan.eventsManager.postFinished()
+            executePlan.eventsManager.postFinished(Some(totalNumRows))
           }
         }
     }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 5120073e2f068..e81e9bb51cb2f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -2513,7 +2513,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
               .putAllArgs(getSqlCommand.getArgsMap)
               .addAllPosArgs(getSqlCommand.getPosArgsList)))
     }
-    executeHolder.eventsManager.postFinished()
+    executeHolder.eventsManager.postFinished(Some(rows.size))
     // Exactly one SQL Command Result Batch
     responseObserver.onNext(
       ExecutePlanResponse
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
index 5e831aaa98f2f..5b9267a967937 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
@@ -75,6 +75,8 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
 
   private var canceled = Option.empty[Boolean]
 
+  private var producedRowCount = Option.empty[Long]
+
   /**
    * @return
    *   Last event posted by the Connect request
@@ -95,6 +97,13 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
    */
   private[connect] def hasError: Option[Boolean] = error
 
+  /**
+   * @return
+   *   How many rows the Connect request has produced @link
+   *   org.apache.spark.sql.connect.service.SparkListenerConnectOperationFinished
+   */
+  private[connect] def getProducedRowCount: Option[Long] = producedRowCount
+
   /**
    * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationStarted.
    */
@@ -192,13 +201,23 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
 
   /**
    * Post @link org.apache.spark.sql.connect.service.SparkListenerConnectOperationFinished.
+   * @param producedRowsCountOpt
+   *   Number of rows that are returned to the user. None is expected when the operation does not
+   *   return any rows.
    */
-  def postFinished(): Unit = {
+  def postFinished(producedRowsCountOpt: Option[Long] = None): Unit = {
     assertStatus(
       List(ExecuteStatus.Started, ExecuteStatus.ReadyForExecution),
       ExecuteStatus.Finished)
+    producedRowCount = producedRowsCountOpt
+
     listenerBus
-      .post(SparkListenerConnectOperationFinished(jobTag, operationId, clock.getTimeMillis()))
+      .post(
+        SparkListenerConnectOperationFinished(
+          jobTag,
+          operationId,
+          clock.getTimeMillis(),
+          producedRowCount))
   }
 
   /**
@@ -395,6 +414,9 @@ case class SparkListenerConnectOperationFailed(
  *   36 characters UUID assigned by Connect during a request.
  * @param eventTime:
  *   The time in ms when the event was generated.
+ * @param producedRowCount:
+ *   Number of rows that are returned to the user. None is expected when the operation does not
+ *   return any rows.
  * @param extraTags:
  *   Additional metadata during the request.
  */
@@ -402,6 +424,7 @@ case class SparkListenerConnectOperationFinished(
     jobTag: String,
     operationId: String,
     eventTime: Long,
+    producedRowCount: Option[Long] = None,
     extraTags: Map[String, String] = Map.empty)
     extends SparkListenerEvent
 
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index 285f3103b190b..74649e15e9eba 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -39,6 +39,7 @@ import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.CreateDataFrameViewCommand
 import org.apache.spark.internal.Logging
 import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent}
+import org.apache.spark.sql.catalyst.expressions.{GenericInternalRow, UnsafeProjection}
 import org.apache.spark.sql.connect.common.DataTypeProtoConverter
 import org.apache.spark.sql.connect.config.Connect
 import org.apache.spark.sql.connect.dsl.MockRemoteSession
@@ -49,13 +50,18 @@ import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteStatus, Sessi
 import org.apache.spark.sql.connector.catalog.InMemoryPartitionTableCatalog
 import org.apache.spark.sql.streaming.StreamingQuery
 import org.apache.spark.sql.test.SharedSparkSession
-import org.apache.spark.sql.types.IntegerType
+import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.UTF8String
 import org.apache.spark.util.Utils
 
 /**
  * Testing Connect Service implementation.
  */
-class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with Logging {
+class SparkConnectServiceSuite
+    extends SharedSparkSession
+    with MockitoSugar
+    with Logging
+    with SparkConnectPlanTest {
 
   private def sparkSessionHolder = SessionHolder.forTesting(spark)
   private def DEFAULT_UUID = UUID.fromString("89ea6117-1f45-4c03-ae27-f47c6aded093")
@@ -190,7 +196,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
             done = true
           }
         })
-      verifyEvents.onCompleted()
+      verifyEvents.onCompleted(Some(100))
       // The current implementation is expected to be blocking. This is here to make sure it is.
       assert(done)
 
@@ -238,6 +244,77 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
     }
   }
 
+  test("SPARK-44776: LocalTableScanExec") {
+    withEvents { verifyEvents =>
+      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
+      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
+      val instance = new SparkConnectService(false)
+      val connect = new MockRemoteSession()
+      val context = proto.UserContext
+        .newBuilder()
+        .setUserId("c1")
+        .build()
+
+      val rows = (0L to 5L).map { i =>
+        new GenericInternalRow(Array(i, UTF8String.fromString("" + (i - 1 + 'a').toChar)))
+      }
+
+      val schema = StructType(Array(StructField("id", LongType), StructField("data", StringType)))
+      val inputRows = rows.map { row =>
+        val proj = UnsafeProjection.create(schema)
+        proj(row).copy()
+      }
+
+      val localRelation = createLocalRelationProto(schema, inputRows)
+      val plan = proto.Plan
+        .newBuilder()
+        .setRoot(localRelation)
+        .build()
+
+      val request = proto.ExecutePlanRequest
+        .newBuilder()
+        .setPlan(plan)
+        .setUserContext(context)
+        .setSessionId(UUID.randomUUID.toString())
+        .build()
+
+      // Execute plan.
+      @volatile var done = false
+      val responses = mutable.Buffer.empty[proto.ExecutePlanResponse]
+      instance.executePlan(
+        request,
+        new StreamObserver[proto.ExecutePlanResponse] {
+          override def onNext(v: proto.ExecutePlanResponse): Unit = {
+            responses += v
+            verifyEvents.onNext(v)
+          }
+
+          override def onError(throwable: Throwable): Unit = {
+            verifyEvents.onError(throwable)
+            throw throwable
+          }
+
+          override def onCompleted(): Unit = {
+            done = true
+          }
+        })
+      verifyEvents.onCompleted(Some(6))
+      // The current implementation is expected to be blocking. This is here to make sure it is.
+      assert(done)
+
+      // 1 Partitions + Metrics
+      assert(responses.size == 3)
+
+      // Make sure the first response is schema only
+      val head = responses.head
+      assert(head.hasSchema && !head.hasArrowBatch && !head.hasMetrics)
+
+      // Make sure the last response is metrics only
+      val last = responses.last
+      assert(last.hasMetrics && !last.hasSchema && !last.hasArrowBatch)
+    }
+  }
+
   test("SPARK-44657: Arrow batches respect max batch size limit") {
     // Set 10 KiB as the batch size limit
     val batchSize = 10 * 1024
@@ -301,101 +378,123 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
 
   gridTest("SPARK-43923: commands send events")(
     Seq(
-      proto.Command
-        .newBuilder()
-        .setSqlCommand(proto.SqlCommand.newBuilder().setSql("select 1").build()),
-      proto.Command
-        .newBuilder()
-        .setSqlCommand(proto.SqlCommand.newBuilder().setSql("show tables").build()),
-      proto.Command
-        .newBuilder()
-        .setWriteOperation(
-          proto.WriteOperation
-            .newBuilder()
-            .setInput(
-              proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))
-            .setPath(Utils.createTempDir().getAbsolutePath)
-            .setMode(proto.WriteOperation.SaveMode.SAVE_MODE_OVERWRITE)),
-      proto.Command
-        .newBuilder()
-        .setWriteOperationV2(
-          proto.WriteOperationV2
-            .newBuilder()
-            .setInput(proto.Relation.newBuilder.setRange(
-              proto.Range.newBuilder().setStart(0).setEnd(2).setStep(1L)))
-            .setTableName("testcat.testtable")
-            .setMode(proto.WriteOperationV2.Mode.MODE_CREATE)),
-      proto.Command
-        .newBuilder()
-        .setCreateDataframeView(
-          CreateDataFrameViewCommand
-            .newBuilder()
-            .setName("testview")
-            .setInput(
-              proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))),
-      proto.Command
-        .newBuilder()
-        .setGetResourcesCommand(proto.GetResourcesCommand.newBuilder()),
-      proto.Command
-        .newBuilder()
-        .setExtension(
-          protobuf.Any.pack(
-            proto.ExamplePluginCommand
+      (
+        proto.Command
+          .newBuilder()
+          .setSqlCommand(proto.SqlCommand.newBuilder().setSql("select 1").build()),
+        Some(0L)),
+      (
+        proto.Command
+          .newBuilder()
+          .setSqlCommand(proto.SqlCommand.newBuilder().setSql("show databases").build()),
+        Some(1L)),
+      (
+        proto.Command
+          .newBuilder()
+          .setWriteOperation(
+            proto.WriteOperation
               .newBuilder()
-              .setCustomField("SPARK-43923")
-              .build())),
-      proto.Command
-        .newBuilder()
-        .setWriteStreamOperationStart(
-          proto.WriteStreamOperationStart
-            .newBuilder()
-            .setInput(
-              proto.Relation
+              .setInput(
+                proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))
+              .setPath(Utils.createTempDir().getAbsolutePath)
+              .setMode(proto.WriteOperation.SaveMode.SAVE_MODE_OVERWRITE)),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setWriteOperationV2(
+            proto.WriteOperationV2
+              .newBuilder()
+              .setInput(proto.Relation.newBuilder.setRange(
+                proto.Range.newBuilder().setStart(0).setEnd(2).setStep(1L)))
+              .setTableName("testcat.testtable")
+              .setMode(proto.WriteOperationV2.Mode.MODE_CREATE)),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setCreateDataframeView(
+            CreateDataFrameViewCommand
+              .newBuilder()
+              .setName("testview")
+              .setInput(
+                proto.Relation.newBuilder().setSql(proto.SQL.newBuilder().setQuery("select 1")))),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setGetResourcesCommand(proto.GetResourcesCommand.newBuilder()),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setExtension(
+            protobuf.Any.pack(
+              proto.ExamplePluginCommand
                 .newBuilder()
-                .setRead(proto.Read
+                .setCustomField("SPARK-43923")
+                .build())),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setWriteStreamOperationStart(
+            proto.WriteStreamOperationStart
+              .newBuilder()
+              .setInput(
+                proto.Relation
                   .newBuilder()
-                  .setIsStreaming(true)
-                  .setDataSource(proto.Read.DataSource.newBuilder().setFormat("rate").build())
+                  .setRead(proto.Read
+                    .newBuilder()
+                    .setIsStreaming(true)
+                    .setDataSource(proto.Read.DataSource.newBuilder().setFormat("rate").build())
+                    .build())
                   .build())
-                .build())
-            .setOutputMode("Append")
-            .setAvailableNow(true)
-            .setQueryName("test")
-            .setFormat("memory")
-            .putOptions("checkpointLocation", Utils.createTempDir().getAbsolutePath)
-            .setPath("test-path")
-            .build()),
-      proto.Command
-        .newBuilder()
-        .setStreamingQueryCommand(
-          proto.StreamingQueryCommand
-            .newBuilder()
-            .setQueryId(
-              proto.StreamingQueryInstanceId
-                .newBuilder()
-                .setId(DEFAULT_UUID.toString)
-                .setRunId(DEFAULT_UUID.toString)
-                .build())
-            .setStop(true)),
-      proto.Command
-        .newBuilder()
-        .setStreamingQueryManagerCommand(proto.StreamingQueryManagerCommand
+              .setOutputMode("Append")
+              .setAvailableNow(true)
+              .setQueryName("test")
+              .setFormat("memory")
+              .putOptions("checkpointLocation", Utils.createTempDir().getAbsolutePath)
+              .setPath("test-path")
+              .build()),
+        None),
+      (
+        proto.Command
           .newBuilder()
-          .setListListeners(true)),
-      proto.Command
-        .newBuilder()
-        .setRegisterFunction(
-          proto.CommonInlineUserDefinedFunction
+          .setStreamingQueryCommand(
+            proto.StreamingQueryCommand
+              .newBuilder()
+              .setQueryId(
+                proto.StreamingQueryInstanceId
+                  .newBuilder()
+                  .setId(DEFAULT_UUID.toString)
+                  .setRunId(DEFAULT_UUID.toString)
+                  .build())
+              .setStop(true)),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setStreamingQueryManagerCommand(proto.StreamingQueryManagerCommand
             .newBuilder()
-            .setFunctionName("function")
-            .setPythonUdf(
-              proto.PythonUDF
-                .newBuilder()
-                .setEvalType(100)
-                .setOutputType(DataTypeProtoConverter.toConnectProtoType(IntegerType))
-                .setCommand(ByteString.copyFrom("command".getBytes()))
-                .setPythonVer("3.10")
-                .build())))) { command =>
+            .setListListeners(true)),
+        None),
+      (
+        proto.Command
+          .newBuilder()
+          .setRegisterFunction(
+            proto.CommonInlineUserDefinedFunction
+              .newBuilder()
+              .setFunctionName("function")
+              .setPythonUdf(
+                proto.PythonUDF
+                  .newBuilder()
+                  .setEvalType(100)
+                  .setOutputType(DataTypeProtoConverter.toConnectProtoType(IntegerType))
+                  .setCommand(ByteString.copyFrom("command".getBytes()))
+                  .setPythonVer("3.10")
+                  .build())),
+        None))) { case (command, producedNumRows) =>
     val sessionId = UUID.randomUUID.toString()
     withCommandTest(sessionId) { verifyEvents =>
       val instance = new SparkConnectService(false)
@@ -435,7 +534,7 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
             done = true
           }
         })
-      verifyEvents.onCompleted()
+      verifyEvents.onCompleted(producedNumRows)
       // The current implementation is expected to be blocking.
       // This is here to make sure it is.
       assert(done)
@@ -788,8 +887,9 @@ class SparkConnectServiceSuite extends SharedSparkSession with MockitoSugar with
       assert(executeHolder.eventsManager.hasCanceled.isEmpty)
       assert(executeHolder.eventsManager.hasError.isDefined)
     }
-    def onCompleted(): Unit = {
+    def onCompleted(producedRowCount: Option[Long] = None): Unit = {
       assert(executeHolder.eventsManager.status == ExecuteStatus.Closed)
+      assert(executeHolder.eventsManager.getProducedRowCount == producedRowCount)
     }
     def onCanceled(): Unit = {
       assert(executeHolder.eventsManager.hasCanceled.contains(true))
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
index e7cc800714270..7950f9c5474f8 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
@@ -141,6 +141,18 @@ class ExecuteEventsManagerSuite
           DEFAULT_CLOCK.getTimeMillis()))
   }
 
+  test("SPARK-44776: post finished with row number") {
+    val events = setupEvents(ExecuteStatus.Started)
+    events.postFinished(Some(100))
+    verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
+      .post(
+        SparkListenerConnectOperationFinished(
+          events.executeHolder.jobTag,
+          DEFAULT_QUERY_ID,
+          DEFAULT_CLOCK.getTimeMillis(),
+          Some(100)))
+  }
+
   test("SPARK-43923: post closed") {
     val events = setupEvents(ExecuteStatus.Finished)
     events.postClosed()

From bf5ef23211b53ee43d56f865322876dcedc61646 Mon Sep 17 00:00:00 2001
From: Ocean <haghighidaly@gmail.com>
Date: Tue, 22 Aug 2023 11:54:40 +0900
Subject: [PATCH 281/986] [SPARK-44854][PYTHON] Python timedelta to
 DayTimeIntervalType edge case bug

### What changes were proposed in this pull request?

This PR proposes to change the way that python `datetime.timedelta` objects are converted to `pyspark.sql.types.DayTimeIntervalType` objects. Specifically, it modifies the logic inside `toInternal` which returns the timedelta as a python integer (would be int64 in other languages) storing the timedelta as microseconds. The current logic inadvertently adds an extra second when doing the conversion for certain python timedelta objects, thereby returning an incorrect value.

An illustrative example is as follows:

```
from datetime import timedelta
from pyspark.sql.types import DayTimeIntervalType, StructField, StructType

spark = ...spark session setup here...

td = timedelta(days=4498031, seconds=16054, microseconds=999981)
df = spark.createDataFrame([(td,)], StructType([StructField(name="timedelta_col", dataType=DayTimeIntervalType(), nullable=False)]))
df.show(truncate=False)

> +------------------------------------------------+
> |timedelta_col                                   |
> +------------------------------------------------+
> |INTERVAL '4498031 04:27:35.999981' DAY TO SECOND|
> +------------------------------------------------+

print(str(td))

>  '4498031 days, 4:27:34.999981'
```

In the above example, look at the seconds. The original python timedelta object has 34 seconds, the pyspark DayTimeIntervalType column has 35 seconds.

### Why are the changes needed?

To fix a bug. It is a bug because the wrong value is returned after conversion. Adding the above timedelta entry to existing unit tests causes the test to fail.

### Does this PR introduce _any_ user-facing change?

Yes. Users should now see the correct timedelta values in pyspark dataframes for similar such edge cases.

### How was this patch tested?

Illustrative edge case examples were added to the unit test (`python/pyspark/sql/tests/test_types.py` the `test_daytime_interval_type` test), verified that the existing code failed the test, new code was added, and verified that the unit test now passes.

### JIRA ticket link
This PR should close https://issues.apache.org/jira/browse/SPARK-44854

Closes #42541 from hdaly0/SPARK-44854.

Authored-by: Ocean <haghighidaly@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fdf65aefc552c909f6643f8a31405d0622eeb7e)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_types.py | 2 ++
 python/pyspark/sql/types.py            | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index 7cb13693a0df9..90ecfd657765d 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -1204,6 +1204,8 @@ def test_daytime_interval_type(self):
             ),
             (datetime.timedelta(microseconds=-123),),
             (datetime.timedelta(days=-1),),
+            (datetime.timedelta(microseconds=388629894454999981),),
+            (datetime.timedelta(days=-1, seconds=86399, microseconds=999999),),  # -1 microsecond
         ]
         df = self.spark.createDataFrame(timedetlas, schema="td interval day to second")
         self.assertEqual(set(r.td for r in df.collect()), set(set(r[0] for r in timedetlas)))
diff --git a/python/pyspark/sql/types.py b/python/pyspark/sql/types.py
index 092fa43b1d2e7..24964c56e2e89 100644
--- a/python/pyspark/sql/types.py
+++ b/python/pyspark/sql/types.py
@@ -442,7 +442,7 @@ def needConversion(self) -> bool:
 
     def toInternal(self, dt: datetime.timedelta) -> Optional[int]:
         if dt is not None:
-            return (math.floor(dt.total_seconds()) * 1000000) + dt.microseconds
+            return (((dt.days * 86400) + dt.seconds) * 1_000_000) + dt.microseconds
 
     def fromInternal(self, micros: int) -> Optional[datetime.timedelta]:
         if micros is not None:

From 57353c2d3e68436f2078c196c5f30f32dcec065b Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 22 Aug 2023 15:09:31 +0900
Subject: [PATCH 282/986] [SPARK-44904][PYTHON][DOCS] Correct the
 `versionadded` of `sql.functions.approx_percentile` to 3.5.0

### What changes were proposed in this pull request?
`sql.functions.approx_percentile`  was introduced in SPARK-43941 (https://github.com/apache/spark/pull/41588). This is a pr for the Spark 3.5.0 and it does not belong to Spark 3.4.0. Therefore, this pr corrects the `versionadded` of `sql.functions.approx_percentile` to 3.5.0 and removed `versionchanged`.

### Why are the changes needed?
Correct the `versionadded` of `sql.functions.approx_percentile`.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42597 from LuciferYang/SPARK-44904.

Lead-authored-by: yangjie01 <yangjie01@baidu.com>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 534f9ea31196bd447449f5ea9dc9b5a80a4c4699)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/functions.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index b285550d0247d..7999f9ce3a0d3 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -4523,10 +4523,11 @@ def approx_percentile(
     of `col` values is less than the value or equal to that value.
 
 
-    .. versionadded:: 3.1.0
+    .. versionadded:: 3.5.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
+    Notes
+    -----
+    Supports Spark Connect.
 
     Parameters
     ----------

From d52582bfdf3d70f7525f0a2b4d80c2d3047c8aed Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 22 Aug 2023 16:02:34 +0800
Subject: [PATCH 283/986] [SPARK-42768][SQL] Enable cached plan apply AQE by
 default

### What changes were proposed in this pull request?

This pr enables the `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` by default.

### Why are the changes needed?

We have fixed all known issues when enable cache + AQE since SPARK-42101. There is no reason to skip AQE optimizing cached plan.

### Does this PR introduce _any_ user-facing change?

yes, the default config changed

### How was this patch tested?

Pass CI

Closes #40390 from ulysses-you/SPARK-42768.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 1569ab543d2b560fa8b59ec9df17b3cf76cf1d7f)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 docs/sql-migration-guide.md                   |  1 +
 python/pyspark/sql/dataframe.py               |  6 ++-
 .../apache/spark/sql/internal/SQLConf.scala   |  2 +-
 .../spark/sql/execution/CacheManager.scala    | 10 +++-
 .../apache/spark/sql/CachedTableSuite.scala   |  7 ++-
 .../sql/DataFrameSetOperationsSuite.scala     |  7 ++-
 .../apache/spark/sql/DatasetCacheSuite.scala  | 53 ++++++++++---------
 .../org/apache/spark/sql/ExplainSuite.scala   |  2 +-
 .../sql/SparkSessionExtensionSuite.scala      |  6 +--
 .../execution/RemoveRedundantSortsSuite.scala |  2 +
 .../columnar/InMemoryColumnarQuerySuite.scala |  6 ++-
 .../columnar/PartitionBatchPruningSuite.scala |  7 +--
 .../DisableUnnecessaryBucketedScanSuite.scala | 23 --------
 13 files changed, 66 insertions(+), 66 deletions(-)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index bc5f442220bb8..c71b16cd8d6bf 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -28,6 +28,7 @@ license: |
 - Since Spark 3.5, Spark thrift server will interrupt task when canceling a running statement. To restore the previous behavior, set `spark.sql.thriftServer.interruptOnCancel` to `false`.
 - Since Spark 3.5, Row's json and prettyJson methods are moved to `ToJsonUtil`.
 - Since Spark 3.5, the `plan` field is moved from `AnalysisException` to `EnhancedAnalysisException`.
+- Since Spark 3.5, `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` is enabled by default. To restore the previous behavior, set `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` to `false`.
 
 ## Upgrading from Spark SQL 3.3 to 3.4
 
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 44891090ef6a7..ac5b4f0250aec 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -1509,7 +1509,8 @@ def cache(self) -> "DataFrame":
 
         >>> df.explain()
         == Physical Plan ==
-        InMemoryTableScan ...
+        AdaptiveSparkPlan isFinalPlan=false
+        +- InMemoryTableScan ...
         """
         self.is_cached = True
         self._jdf.cache()
@@ -1551,7 +1552,8 @@ def persist(
 
         >>> df.explain()
         == Physical Plan ==
-        InMemoryTableScan ...
+        AdaptiveSparkPlan isFinalPlan=false
+        +- InMemoryTableScan ...
 
         Persists the data in the disk by specifying the storage level.
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index ef77a22e63259..2c1a701167794 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -1523,7 +1523,7 @@ object SQLConf {
         s"are ${ADAPTIVE_EXECUTION_ENABLED.key} and ${AUTO_BUCKETED_SCAN_ENABLED.key}.")
       .version("3.2.0")
       .booleanConf
-      .createWithDefault(false)
+      .createWithDefault(true)
 
   val CROSS_JOINS_ENABLED = buildConf("spark.sql.crossJoin.enabled")
     .internal()
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
index 2afb82cdbc78d..064819275e004 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
@@ -391,11 +391,17 @@ class CacheManager extends Logging with AdaptiveSparkPlanHelper {
   }
 
   /**
-   * If CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING is enabled, just return original session.
+   * If `CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING` is enabled, return the session with disabled
+   * `AUTO_BUCKETED_SCAN_ENABLED`.
+   * If `CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING` is disabled, return the session with disabled
+   * `AUTO_BUCKETED_SCAN_ENABLED` and `ADAPTIVE_EXECUTION_ENABLED`.
    */
   private def getOrCloneSessionWithConfigsOff(session: SparkSession): SparkSession = {
     if (session.conf.get(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING)) {
-      session
+      // Bucketed scan only has one time overhead but can have multi-times benefits in cache,
+      // so we always do bucketed scan in a cached plan.
+      SparkSession.getOrCloneSessionWithConfigsOff(
+        session, SQLConf.AUTO_BUCKETED_SCAN_ENABLED :: Nil)
     } else {
       SparkSession.getOrCloneSessionWithConfigsOff(session, forceDisableConfigs)
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
index 8ad0cd6b7eb1b..1e4a67347f5b1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
@@ -514,6 +514,9 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
    * Verifies that the plan for `df` contains `expected` number of Exchange operators.
    */
   private def verifyNumExchanges(df: DataFrame, expected: Int): Unit = {
+    withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
+      df.collect()
+    }
     assert(
       collect(df.queryExecution.executedPlan) { case e: ShuffleExchangeExec => e }.size == expected)
   }
@@ -1662,12 +1665,12 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
           withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "true") {
             assert(spark.table("t1").rdd.partitions.length == 2)
             sql("CACHE TABLE t2")
-            assert(spark.table("t2").rdd.partitions.length == 1)
+            assert(spark.table("t2").rdd.partitions.length == 2)
           }
 
           withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "false") {
             assert(spark.table("t1").rdd.partitions.length == 2)
-            assert(spark.table("t2").rdd.partitions.length == 1)
+            assert(spark.table("t2").rdd.partitions.length == 2)
             sql("CACHE TABLE t3")
             assert(spark.table("t3").rdd.partitions.length == 2)
           }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
index 7e04053957bd6..747f43fa2a74c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
@@ -23,6 +23,7 @@ import java.util.Locale
 import org.apache.spark.sql.catalyst.optimizer.RemoveNoopUnion
 import org.apache.spark.sql.catalyst.plans.logical.Union
 import org.apache.spark.sql.execution.{SparkPlan, UnionExec}
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
@@ -30,7 +31,8 @@ import org.apache.spark.sql.test.{ExamplePoint, ExamplePointUDT, SharedSparkSess
 import org.apache.spark.sql.test.SQLTestData.NullStrings
 import org.apache.spark.sql.types._
 
-class DataFrameSetOperationsSuite extends QueryTest with SharedSparkSession {
+class DataFrameSetOperationsSuite extends QueryTest
+  with SharedSparkSession with AdaptiveSparkPlanHelper {
   import testImplicits._
 
   test("except") {
@@ -1401,7 +1403,7 @@ class DataFrameSetOperationsSuite extends QueryTest with SharedSparkSession {
         plan: SparkPlan,
         targetPlan: (SparkPlan) => Boolean,
         isColumnar: Boolean): Unit = {
-      val target = plan.collect {
+      val target = collect(plan) {
         case p if targetPlan(p) => p
       }
       assert(target.nonEmpty)
@@ -1414,6 +1416,7 @@ class DataFrameSetOperationsSuite extends QueryTest with SharedSparkSession {
         val df2 = Seq(4, 5, 6).toDF("j").cache()
 
         val union = df1.union(df2)
+        union.collect()
         checkIfColumnar(union.queryExecution.executedPlan,
           _.isInstanceOf[InMemoryTableScanExec], supported)
         checkIfColumnar(union.queryExecution.executedPlan,
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
index e3f8722806840..bda8c7f26082f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
@@ -23,6 +23,7 @@ import org.scalatest.time.SpanSugar._
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.columnar.{InMemoryRelation, InMemoryTableScanExec}
 import org.apache.spark.sql.functions._
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.storage.StorageLevel
 import org.apache.spark.tags.SlowSQLTest
@@ -279,34 +280,36 @@ class DatasetCacheSuite extends QueryTest
     val df2 = Seq(2 -> 2).toDF("i", "j")
     val df3 = Seq(3 -> 3).toDF("i", "j")
 
-    withClue("positive: union by position") {
-      val unionDf = df1.union(df2).select($"i")
-      unionDf.cache()
-      val finalDf = unionDf.union(df3.select($"i"))
-      assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
-    }
+    withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "false") {
+      withClue("positive: union by position") {
+        val unionDf = df1.union(df2).select($"i")
+        unionDf.cache()
+        val finalDf = unionDf.union(df3.select($"i"))
+        assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+      }
 
-    withClue("positive: union by name") {
-      val unionDf = df1.unionByName(df2).select($"i")
-      unionDf.cache()
-      val finalDf = unionDf.unionByName(df3.select($"i"))
-      assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
-    }
+      withClue("positive: union by name") {
+        val unionDf = df1.unionByName(df2).select($"i")
+        unionDf.cache()
+        val finalDf = unionDf.unionByName(df3.select($"i"))
+        assert(finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+      }
 
-    withClue("negative: union by position") {
-      val unionDf = df1.union(df2)
-      unionDf.cache()
-      val finalDf = unionDf.union(df3)
-      // It's by design to break caching here.
-      assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
-    }
+      withClue("negative: union by position") {
+        val unionDf = df1.union(df2)
+        unionDf.cache()
+        val finalDf = unionDf.union(df3)
+        // It's by design to break caching here.
+        assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+      }
 
-    withClue("negative: union by name") {
-      val unionDf = df1.unionByName(df2)
-      unionDf.cache()
-      val finalDf = unionDf.unionByName(df3)
-      // It's by design to break caching here.
-      assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+      withClue("negative: union by name") {
+        val unionDf = df1.unionByName(df2)
+        unionDf.cache()
+        val finalDf = unionDf.unionByName(df3)
+        // It's by design to break caching here.
+        assert(!finalDf.queryExecution.executedPlan.exists(_.isInstanceOf[InMemoryTableScanExec]))
+      }
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
index 3ed989c4035d7..a206e97c35362 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
@@ -736,7 +736,7 @@ class ExplainSuiteAE extends ExplainSuiteHelper with EnableAdaptiveExecutionSuit
       val query = "SELECT * FROM (SELECT * FROM t1) join t2 " +
         "ON k = t2.key"
       val df = sql(query).toDF()
-
+      df.collect()
       val inMemoryRelationRegex = """InMemoryRelation \(([0-9]+)\)""".r
       val columnarToRowRegex = """ColumnarToRow \(([0-9]+)\)""".r
       val explainString = getNormalizedExplain(df, FormattedMode)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
index d4a871c00a14a..21518085ca4c5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
@@ -37,7 +37,7 @@ import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.TreeNodeTag
 import org.apache.spark.sql.connector.write.WriterCommitMessage
 import org.apache.spark.sql.execution._
-import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AQEShuffleReadExec, QueryStageExec, ShuffleQueryStageExec}
+import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AdaptiveSparkPlanHelper, AQEShuffleReadExec, QueryStageExec, ShuffleQueryStageExec}
 import org.apache.spark.sql.execution.datasources.{FileFormat, WriteFilesExec, WriteFilesSpec}
 import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, BroadcastExchangeLike, ShuffleExchangeExec, ShuffleExchangeLike, ShuffleOrigin}
 import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector
@@ -51,7 +51,7 @@ import org.apache.spark.unsafe.types.UTF8String
 /**
  * Test cases for the [[SparkSessionExtensions]].
  */
-class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper {
+class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper with AdaptiveSparkPlanHelper {
   private def create(
       builder: SparkSessionExtensionsProvider): Seq[SparkSessionExtensionsProvider] = Seq(builder)
 
@@ -206,7 +206,7 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper {
       import session.implicits._
       val df = Seq((1, "a"), (2, "b")).toDF("i", "s")
       df.select("i").filter($"i" > 1).cache()
-      assert(df.filter($"i" > 1).select("i").queryExecution.executedPlan.find {
+      assert(find(df.filter($"i" > 1).select("i").queryExecution.executedPlan) {
         case _: org.apache.spark.sql.execution.columnar.InMemoryTableScanExec => true
         case _ => false
       }.isDefined)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
index 30ce940b032c5..005e764cc30c0 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
@@ -124,6 +124,7 @@ abstract class RemoveRedundantSortsSuiteBase
   test("cached sorted data doesn't need to be re-sorted") {
     withSQLConf(SQLConf.REMOVE_REDUNDANT_SORTS_ENABLED.key -> "true") {
       val df = spark.range(1000).select($"id" as "key").sort($"key".desc).cache()
+      df.collect()
       val resorted = df.sort($"key".desc)
       val sortedAsc = df.sort($"key".asc)
       checkNumSorts(df, 0)
@@ -132,6 +133,7 @@ abstract class RemoveRedundantSortsSuiteBase
       val result = resorted.collect()
       withSQLConf(SQLConf.REMOVE_REDUNDANT_SORTS_ENABLED.key -> "false") {
         val resorted = df.sort($"key".desc)
+        resorted.collect()
         checkNumSorts(resorted, 1)
         checkAnswer(resorted, result)
       }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala
index d15fabd940347..de04938f247cd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala
@@ -28,6 +28,7 @@ import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference,
 import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
 import org.apache.spark.sql.columnar.CachedBatch
 import org.apache.spark.sql.execution.{FilterExec, InputAdapter, WholeStageCodegenExec}
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
@@ -48,7 +49,8 @@ class TestCachedBatchSerializer(
   }
 }
 
-class InMemoryColumnarQuerySuite extends QueryTest with SharedSparkSession {
+class InMemoryColumnarQuerySuite extends QueryTest
+  with SharedSparkSession with AdaptiveSparkPlanHelper {
   import testImplicits._
 
   setupTestData()
@@ -504,7 +506,7 @@ class InMemoryColumnarQuerySuite extends QueryTest with SharedSparkSession {
     // Push predicate to the cached table.
     val df2 = df1.where("y = 3")
 
-    val planBeforeFilter = df2.queryExecution.executedPlan.collect {
+    val planBeforeFilter = collect(df2.queryExecution.executedPlan) {
       case f: FilterExec => f.child
       case WholeStageCodegenExec(FilterExec(_, i: InputAdapter)) => i.child
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/PartitionBatchPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/PartitionBatchPruningSuite.scala
index a22cb66474493..885286843a143 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/PartitionBatchPruningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/PartitionBatchPruningSuite.scala
@@ -17,12 +17,13 @@
 
 package org.apache.spark.sql.execution.columnar
 
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.test.SQLTestData._
 
 
-class PartitionBatchPruningSuite extends SharedSparkSession {
+class PartitionBatchPruningSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
 
   import testImplicits._
 
@@ -180,7 +181,7 @@ class PartitionBatchPruningSuite extends SharedSparkSession {
     val result = df.collect().map(_(0)).toArray
     assert(result.length === 1)
 
-    val (readPartitions, readBatches) = df.queryExecution.executedPlan.collect {
+    val (readPartitions, readBatches) = collect(df.queryExecution.executedPlan) {
         case in: InMemoryTableScanExec => (in.readPartitions.value, in.readBatches.value)
       }.head
     assert(readPartitions === 5)
@@ -201,7 +202,7 @@ class PartitionBatchPruningSuite extends SharedSparkSession {
         df.collect().map(_(0)).toArray
       }
 
-      val (readPartitions, readBatches) = df.queryExecution.executedPlan.collect {
+      val (readPartitions, readBatches) = collect(df.queryExecution.executedPlan) {
         case in: InMemoryTableScanExec => (in.readPartitions.value, in.readBatches.value)
       }.head
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
index 1f55742cd6704..d675503a8ba48 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
@@ -18,11 +18,8 @@
 package org.apache.spark.sql.sources
 
 import org.apache.spark.sql.QueryTest
-import org.apache.spark.sql.catalyst.expressions.AttributeReference
-import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
 import org.apache.spark.sql.execution.FileSourceScanExec
 import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.StaticSQLConf.CATALOG_IMPLEMENTATION
 import org.apache.spark.sql.test.{SharedSparkSession, SQLTestUtils}
@@ -242,26 +239,6 @@ abstract class DisableUnnecessaryBucketedScanSuite
     }
   }
 
-  test("SPARK-33075: not disable bucketed table scan for cached query") {
-    withTable("t1") {
-      withSQLConf(SQLConf.AUTO_BUCKETED_SCAN_ENABLED.key -> "true") {
-        df1.write.format("parquet").bucketBy(8, "i").saveAsTable("t1")
-        spark.catalog.cacheTable("t1")
-        assertCached(spark.table("t1"))
-
-        // Verify cached bucketed table scan not disabled
-        val partitioning = stripAQEPlan(spark.table("t1").queryExecution.executedPlan)
-          .outputPartitioning
-        assert(partitioning match {
-          case HashPartitioning(Seq(column: AttributeReference), 8) if column.name == "i" => true
-          case _ => false
-        })
-        val aggregateQueryPlan = sql("SELECT SUM(i) FROM t1 GROUP BY i").queryExecution.executedPlan
-        assert(find(aggregateQueryPlan)(_.isInstanceOf[ShuffleExchangeExec]).isEmpty)
-      }
-    }
-  }
-
   test("Aggregates with no groupby over tables having 1 BUCKET, return multiple rows") {
     withTable("t1") {
       withSQLConf(SQLConf.AUTO_BUCKETED_SCAN_ENABLED.key -> "true") {

From 4823e03188664fd2b34d77f0c5dddfebe8bf6f3d Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Tue, 22 Aug 2023 19:45:11 +0900
Subject: [PATCH 284/986] [SPARK-44786][SQL][CONNECT] Convert common Spark
 exceptions

- Convert common Spark exceptions
- Extend common Spark exceptions to support single message parameter constructor

- Achieve similar exception conversion coverage as [Python Client](https://github.com/apache/spark/blob/master/python/pyspark/errors/exceptions/connect.py#L57-L89)

No

- Existing tests

Closes #42472 from heyihong/SPARK-44786.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit dc900b47556dc432f494ad465abdd59fc645734d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/SparkException.scala     | 264 ++++++++++++++----
 .../spark/sql/ClientDataFrameStatSuite.scala  |   4 +-
 .../apache/spark/sql/ClientE2ETestSuite.scala |  10 +-
 .../client/GrpcExceptionConverter.scala       |  18 +-
 4 files changed, 242 insertions(+), 54 deletions(-)

diff --git a/common/utils/src/main/scala/org/apache/spark/SparkException.scala b/common/utils/src/main/scala/org/apache/spark/SparkException.scala
index 4dafaba685e71..5c5bf17c942d6 100644
--- a/common/utils/src/main/scala/org/apache/spark/SparkException.scala
+++ b/common/utils/src/main/scala/org/apache/spark/SparkException.scala
@@ -133,50 +133,107 @@ private[spark] case class ExecutorDeadException(message: String)
 /**
  * Exception thrown when Spark returns different result after upgrading to a new version.
  */
-private[spark] class SparkUpgradeException(
+private[spark] class SparkUpgradeException private(
+  message: String,
+  cause: Option[Throwable],
+  errorClass: Option[String],
+  messageParameters: Map[String, String])
+  extends RuntimeException(message, cause.orNull) with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
-    cause: Throwable)
-  extends RuntimeException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters), cause)
-  with SparkThrowable {
+    cause: Throwable) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      Option(cause),
+      Option(errorClass),
+      messageParameters
+    )
+  }
+
+  def this(message: String, cause: Option[Throwable]) = {
+    this(
+      message,
+      cause = cause,
+      errorClass = None,
+      messageParameters = Map.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
 }
 
 /**
  * Arithmetic exception thrown from Spark with an error class.
  */
-private[spark] class SparkArithmeticException(
+private[spark] class SparkArithmeticException private(
+    message: String,
+    errorClass: Option[String],
+    messageParameters: Map[String, String],
+    context: Array[QueryContext])
+  extends ArithmeticException(message) with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     context: Array[QueryContext],
-    summary: String)
-  extends ArithmeticException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary))
-  with SparkThrowable {
+    summary: String) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
 /**
  * Unsupported operation exception thrown from Spark with an error class.
  */
-private[spark] class SparkUnsupportedOperationException(
+private[spark] class SparkUnsupportedOperationException private(
+  message: String,
+  errorClass: Option[String],
+  messageParameters: Map[String, String])
+  extends UnsupportedOperationException(message) with SparkThrowable {
+
+  def this(
     errorClass: String,
-    messageParameters: Map[String, String])
-  extends UnsupportedOperationException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters))
-  with SparkThrowable {
+    messageParameters: Map[String, String]) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters),
+      Option(errorClass),
+      messageParameters
+    )
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = None,
+      messageParameters = Map.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
 }
 
 /**
@@ -214,18 +271,38 @@ private[spark] class SparkConcurrentModificationException(
 /**
  * Datetime exception thrown from Spark with an error class.
  */
-private[spark] class SparkDateTimeException(
+private[spark] class SparkDateTimeException private(
+    message: String,
+    errorClass: Option[String],
+    messageParameters: Map[String, String],
+    context: Array[QueryContext])
+  extends DateTimeException(message) with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     context: Array[QueryContext],
-    summary: String)
-  extends DateTimeException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary))
-  with SparkThrowable {
+    summary: String) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
@@ -247,54 +324,122 @@ private[spark] class SparkFileNotFoundException(
 /**
  * Number format exception thrown from Spark with an error class.
  */
-private[spark] class SparkNumberFormatException(
+private[spark] class SparkNumberFormatException private(
+    message: String,
+    errorClass: Option[String],
+    messageParameters: Map[String, String],
+    context: Array[QueryContext])
+  extends NumberFormatException(message)
+  with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     context: Array[QueryContext],
-    summary: String)
-  extends NumberFormatException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary))
-  with SparkThrowable {
+    summary: String) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
 /**
  * Illegal argument exception thrown from Spark with an error class.
  */
-private[spark] class SparkIllegalArgumentException(
+private[spark] class SparkIllegalArgumentException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String],
+    context: Array[QueryContext])
+  extends IllegalArgumentException(message, cause.orNull)
+  with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     context: Array[QueryContext] = Array.empty,
     summary: String = "",
-    cause: Throwable = null)
-  extends IllegalArgumentException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary), cause)
-  with SparkThrowable {
+    cause: Throwable = null) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(cause),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String, cause: Option[Throwable]) = {
+    this(
+      message,
+      cause = cause,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
-private[spark] class SparkRuntimeException(
+private[spark] class SparkRuntimeException private(
+    message: String,
+    cause: Option[Throwable],
+    errorClass: Option[String],
+    messageParameters: Map[String, String],
+    context: Array[QueryContext])
+  extends RuntimeException(message, cause.orNull)
+    with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     cause: Throwable = null,
     context: Array[QueryContext] = Array.empty,
-    summary: String = "")
-  extends RuntimeException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
-    cause)
-  with SparkThrowable {
+    summary: String = "") = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(cause),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String, cause: Option[Throwable]) = {
+    this(
+      message,
+      cause = cause,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
@@ -335,18 +480,39 @@ private[spark] class SparkSecurityException(
 /**
  * Array index out of bounds exception thrown from Spark with an error class.
  */
-private[spark] class SparkArrayIndexOutOfBoundsException(
+private[spark] class SparkArrayIndexOutOfBoundsException private(
+  message: String,
+  errorClass: Option[String],
+  messageParameters: Map[String, String],
+  context: Array[QueryContext])
+  extends ArrayIndexOutOfBoundsException(message)
+    with SparkThrowable {
+
+  def this(
     errorClass: String,
     messageParameters: Map[String, String],
     context: Array[QueryContext],
-    summary: String)
-  extends ArrayIndexOutOfBoundsException(
-    SparkThrowableHelper.getMessage(errorClass, messageParameters, summary))
-  with SparkThrowable {
+    summary: String) = {
+    this(
+      SparkThrowableHelper.getMessage(errorClass, messageParameters, summary),
+      Option(errorClass),
+      messageParameters,
+      context
+    )
+  }
+
+  def this(message: String) = {
+    this(
+      message,
+      errorClass = None,
+      messageParameters = Map.empty,
+      context = Array.empty
+    )
+  }
 
   override def getMessageParameters: java.util.Map[String, String] = messageParameters.asJava
 
-  override def getErrorClass: String = errorClass
+  override def getErrorClass: String = errorClass.orNull
   override def getQueryContext: Array[QueryContext] = context
 }
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
index 7035dc99148e2..2f4e1aa9bd093 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
@@ -21,7 +21,7 @@ import java.util.Random
 
 import org.scalatest.matchers.must.Matchers._
 
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkIllegalArgumentException}
 import org.apache.spark.sql.connect.client.util.RemoteSparkSession
 
 class ClientDataFrameStatSuite extends RemoteSparkSession {
@@ -87,7 +87,7 @@ class ClientDataFrameStatSuite extends RemoteSparkSession {
 
     val results = df.stat.cov("singles", "doubles")
     assert(math.abs(results - 55.0 / 3) < 1e-12)
-    intercept[SparkException] {
+    intercept[SparkIllegalArgumentException] {
       df.stat.cov("singles", "letters") // doesn't accept non-numerical dataTypes
     }
     val decimalData = Seq.tabulate(6)(i => (BigDecimal(i % 3), BigDecimal(i % 2))).toDF("a", "b")
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 1bfc1cfc7a866..86973b82e72b5 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -29,8 +29,8 @@ import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.scalactic.TolerantNumerics
 import org.scalatest.PrivateMethodTester
 
+import org.apache.spark.{SparkArithmeticException, SparkException}
 import org.apache.spark.SparkBuildInfo.{spark_version => SPARK_VERSION}
-import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.analysis.{NamespaceAlreadyExistsException, NoSuchDatabaseException, NoSuchTableException, TableAlreadyExistsException, TempTableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
@@ -44,6 +44,14 @@ import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
 
+  test("throw SparkArithmeticException") {
+    withSQLConf("spark.sql.ansi.enabled" -> "true") {
+      intercept[SparkArithmeticException] {
+        spark.sql("select 1/0").collect()
+      }
+    }
+  }
+
   test("throw NoSuchDatabaseException") {
     intercept[NoSuchDatabaseException] {
       spark.sql("use database123")
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index cf92a53847e38..672d31be954bd 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql.connect.client
 
+import java.time.DateTimeException
+
 import scala.collection.JavaConverters._
 import scala.reflect.ClassTag
 
@@ -23,7 +25,7 @@ import com.google.rpc.ErrorInfo
 import io.grpc.StatusRuntimeException
 import io.grpc.protobuf.StatusProto
 
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkArithmeticException, SparkArrayIndexOutOfBoundsException, SparkDateTimeException, SparkException, SparkIllegalArgumentException, SparkNumberFormatException, SparkRuntimeException, SparkUnsupportedOperationException, SparkUpgradeException}
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.analysis.{NamespaceAlreadyExistsException, NoSuchDatabaseException, NoSuchTableException, TableAlreadyExistsException, TempTableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -76,7 +78,19 @@ private[client] object GrpcExceptionConverter extends JsonUtils {
     errorConstructor((message, cause) => new TableAlreadyExistsException(message, cause)),
     errorConstructor((message, cause) => new TempTableAlreadyExistsException(message, cause)),
     errorConstructor((message, cause) => new NoSuchDatabaseException(message, cause)),
-    errorConstructor((message, cause) => new NoSuchTableException(message, cause)))
+    errorConstructor((message, cause) => new NoSuchTableException(message, cause)),
+    errorConstructor[NumberFormatException]((message, _) =>
+      new SparkNumberFormatException(message)),
+    errorConstructor[IllegalArgumentException]((message, cause) =>
+      new SparkIllegalArgumentException(message, cause)),
+    errorConstructor[ArithmeticException]((message, _) => new SparkArithmeticException(message)),
+    errorConstructor[UnsupportedOperationException]((message, _) =>
+      new SparkUnsupportedOperationException(message)),
+    errorConstructor[ArrayIndexOutOfBoundsException]((message, _) =>
+      new SparkArrayIndexOutOfBoundsException(message)),
+    errorConstructor[DateTimeException]((message, _) => new SparkDateTimeException(message)),
+    errorConstructor((message, cause) => new SparkRuntimeException(message, cause)),
+    errorConstructor((message, cause) => new SparkUpgradeException(message, cause)))
 
   private def errorInfoToThrowable(info: ErrorInfo, message: String): Option[Throwable] = {
     val classes =

From b59db1eb0795c70d86ce00cfb183a5d021a2af27 Mon Sep 17 00:00:00 2001
From: Tim Nieradzik <tim@sparse.tech>
Date: Tue, 22 Aug 2023 19:48:09 +0900
Subject: [PATCH 285/986] [SPARK-44885][SQL] NullPointerException is thrown
 when column with ROWID type contains NULL values

### What changes were proposed in this pull request?
If a `rowid` column is `null`, do not call `toString` on it.

### Why are the changes needed?
A column with the `rowid` type may contain NULL values.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Test cases.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42576 from tindzk/fix/rowid-null.

Authored-by: Tim Nieradzik <tim@sparse.tech>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 16607a5fd03f562dc8ea3825e90c40e80e8063e6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/jdbc/OracleIntegrationSuite.scala | 17 ++++++++++++++++-
 .../execution/datasources/jdbc/JdbcUtils.scala  |  7 ++++++-
 2 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
index 407da028b7eb8..483f6087c81d2 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
@@ -49,7 +49,7 @@ import org.apache.spark.tags.DockerTest
  * 4. Start docker: sudo service docker start
  *    - Optionally, docker pull $ORACLE_DOCKER_IMAGE_NAME
  * 5. Run Spark integration tests for Oracle with: ./build/sbt -Pdocker-integration-tests
- *    "testOnly org.apache.spark.sql.jdbc.OracleIntegrationSuite"
+ *    "docker-integration-tests/testOnly org.apache.spark.sql.jdbc.OracleIntegrationSuite"
  *
  * A sequence of commands to build the Oracle XE database container image:
  *  $ git clone https://github.com/oracle/docker-images.git
@@ -521,4 +521,19 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with SharedSpark
     assert(types(0).equals("class java.lang.String"))
     assert(!rows(0).getString(0).isEmpty)
   }
+
+  test("SPARK-44885: query row with ROWID type containing NULL value") {
+    val rows = spark.read.format("jdbc")
+      .option("url", jdbcUrl)
+      // Rename column to `row_id` to prevent the following SQL error:
+      //   ORA-01446: cannot select ROWID from view with DISTINCT, GROUP BY, etc.
+      // See also https://stackoverflow.com/a/42632686/13300239
+      .option("query", "SELECT rowid as row_id from datetime where d = {d '1991-11-09'}\n" +
+        "union all\n" +
+        "select null from dual")
+      .load()
+      .collect()
+    assert(rows(0).getString(0).nonEmpty)
+    assert(rows(1).getString(0) == null)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index 448ef220829f3..b7019c1dcbe53 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -453,7 +453,12 @@ object JdbcUtils extends Logging with SQLConfHelper {
 
     case StringType if metadata.contains("rowid") =>
       (rs: ResultSet, row: InternalRow, pos: Int) =>
-        row.update(pos, UTF8String.fromString(rs.getRowId(pos + 1).toString))
+        val rawRowId = rs.getRowId(pos + 1)
+        if (rawRowId == null) {
+          row.update(pos, null)
+        } else {
+          row.update(pos, UTF8String.fromString(rawRowId.toString))
+        }
 
     case StringType =>
       (rs: ResultSet, row: InternalRow, pos: Int) =>

From 97f20813dca0e8d5512f25c2163bada79a8871c7 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 22 Aug 2023 20:09:08 +0900
Subject: [PATCH 286/986] [MINOR][PYTHON][DOCS] Remove duplicated
 versionchanged per versionadded

### What changes were proposed in this pull request?

This PR addresses all the cases of duplicated `versionchanged` directives with `versionadded` directives, see also https://github.com/apache/spark/pull/42597.

Also, this PR mentions that all functions support Spark Connect from Apache Spark 3.5.0.

### Why are the changes needed?

To remove duplicated information in docstring.

### Does this PR introduce _any_ user-facing change?

Yes, it removes duplicated information in PySpark API Reference page.

### How was this patch tested?

CI in this PR should validate them.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42602 from HyukjinKwon/minor-versionchanges.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 65b8ca2694c2443b4f97963de9398ac0ff779d0c)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../reference/pyspark.sql/functions.rst       |  3 +
 python/pyspark/sql/conf.py                    | 18 +----
 python/pyspark/sql/dataframe.py               | 33 ++++----
 python/pyspark/sql/functions.py               | 80 +++++++++----------
 python/pyspark/sql/session.py                 |  7 +-
 5 files changed, 67 insertions(+), 74 deletions(-)

diff --git a/python/docs/source/reference/pyspark.sql/functions.rst b/python/docs/source/reference/pyspark.sql/functions.rst
index c5194311db860..cd4f79ec62f48 100644
--- a/python/docs/source/reference/pyspark.sql/functions.rst
+++ b/python/docs/source/reference/pyspark.sql/functions.rst
@@ -21,6 +21,9 @@ Functions
 =========
 .. currentmodule:: pyspark.sql.functions
 
+A collections of builtin functions available for DataFrame operations.
+From Apache Spark 3.5.0, all functions support Spark Connect.
+
 Normal Functions
 ----------------
 .. autosummary::
diff --git a/python/pyspark/sql/conf.py b/python/pyspark/sql/conf.py
index 9a7ecd9fcbec2..599bb358fb11d 100644
--- a/python/pyspark/sql/conf.py
+++ b/python/pyspark/sql/conf.py
@@ -39,11 +39,7 @@ def __init__(self, jconf: JavaObject) -> None:
 
     @since(2.0)
     def set(self, key: str, value: Union[str, int, bool]) -> None:
-        """Sets the given Spark runtime configuration property.
-
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-        """
+        """Sets the given Spark runtime configuration property."""
         self._jconf.set(key, value)
 
     @since(2.0)
@@ -52,9 +48,6 @@ def get(
     ) -> Optional[str]:
         """Returns the value of Spark runtime configuration property for the given key,
         assuming it is set.
-
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
         """
         self._checkType(key, "key")
         if default is _NoValue:
@@ -66,11 +59,7 @@ def get(
 
     @since(2.0)
     def unset(self, key: str) -> None:
-        """Resets the configuration property for the given key.
-
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-        """
+        """Resets the configuration property for the given key."""
         self._jconf.unset(key)
 
     def _checkType(self, obj: Any, identifier: str) -> None:
@@ -84,9 +73,6 @@ def _checkType(self, obj: Any, identifier: str) -> None:
     def isModifiable(self, key: str) -> bool:
         """Indicates whether the configuration property with the given key
         is modifiable in the current session.
-
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
         """
         return self._jconf.isModifiable(key)
 
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index ac5b4f0250aec..35f2c70f8c947 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -2234,9 +2234,6 @@ def to(self, schema: StructType) -> "DataFrame":
 
         .. versionadded:: 3.4.0
 
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-
         Parameters
         ----------
         schema : :class:`StructType`
@@ -2265,6 +2262,8 @@ def to(self, schema: StructType) -> "DataFrame":
         * Fail if the nullability is not compatible. For example, the column and/or inner field
             is nullable but the specified schema requires them to be not nullable.
 
+        Supports Spark Connect.
+
         Examples
         --------
         >>> from pyspark.sql.types import StructField, StringType
@@ -3543,9 +3542,6 @@ def unpivot(
 
         .. versionadded:: 3.4.0
 
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-
         Parameters
         ----------
         ids : str, Column, tuple, list
@@ -3565,6 +3561,10 @@ def unpivot(
         :class:`DataFrame`
             Unpivoted DataFrame.
 
+        Notes
+        -----
+        Supports Spark Connect.
+
         Examples
         --------
         >>> df = spark.createDataFrame(
@@ -3629,9 +3629,6 @@ def melt(
 
         .. versionadded:: 3.4.0
 
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-
         Parameters
         ----------
         ids : str, Column, tuple, list, optional
@@ -3654,6 +3651,10 @@ def melt(
         See Also
         --------
         DataFrame.unpivot
+
+        Notes
+        -----
+        Supports Spark Connect.
         """
         return self.unpivot(ids, values, variableColumnName, valueColumnName)
 
@@ -4231,9 +4232,6 @@ def dropDuplicatesWithinWatermark(self, subset: Optional[List[str]] = None) -> "
 
          .. versionadded:: 3.5.0
 
-        .. versionchanged:: 3.5.0
-            Supports Spark Connect.
-
          Parameters
          ----------
          subset : List of column names, optional
@@ -4244,6 +4242,10 @@ def dropDuplicatesWithinWatermark(self, subset: Optional[List[str]] = None) -> "
          :class:`DataFrame`
              DataFrame without duplicates.
 
+         Notes
+         -----
+         Supports Spark Connect.
+
          Examples
          --------
          >>> from pyspark.sql import Row
@@ -5209,9 +5211,6 @@ def withColumnsRenamed(self, colsMap: Dict[str, str]) -> "DataFrame":
         .. versionadded:: 3.4.0
            Added support for multiple columns renaming
 
-        .. versionchanged:: 3.4.0
-            Supports Spark Connect.
-
         Parameters
         ----------
         colsMap : dict
@@ -5227,6 +5226,10 @@ def withColumnsRenamed(self, colsMap: Dict[str, str]) -> "DataFrame":
         --------
         :meth:`withColumnRenamed`
 
+        Notes
+        -----
+        Support Spark Connect
+
         Examples
         --------
         >>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 7999f9ce3a0d3..ee619099dedcc 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -612,9 +612,6 @@ def mode(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -625,6 +622,10 @@ def mode(col: "ColumnOrName") -> Column:
     :class:`~pyspark.sql.Column`
         the most frequent value in a group.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> df = spark.createDataFrame([
@@ -929,9 +930,6 @@ def median(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -942,6 +940,10 @@ def median(col: "ColumnOrName") -> Column:
     :class:`~pyspark.sql.Column`
         the median of the values in a group.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> df = spark.createDataFrame([
@@ -3371,9 +3373,6 @@ def pmod(dividend: Union["ColumnOrName", float], divisor: Union["ColumnOrName",
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     dividend : str, :class:`~pyspark.sql.Column` or float
@@ -3386,6 +3385,10 @@ def pmod(dividend: Union["ColumnOrName", float], divisor: Union["ColumnOrName",
     :class:`~pyspark.sql.Column`
         positive value of dividend mod divisor.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> from pyspark.sql.functions import pmod
@@ -3673,9 +3676,6 @@ def approx_count_distinct(col: "ColumnOrName", rsd: Optional[float] = None) -> C
 
     .. versionadded:: 2.1.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     .. versionchanged:: 3.4.0
         Supports Spark Connect.
 
@@ -4522,13 +4522,8 @@ def approx_percentile(
     in the ordered `col` values (sorted from least to greatest) such that no more than `percentage`
     of `col` values is less than the value or equal to that value.
 
-
     .. versionadded:: 3.5.0
 
-    Notes
-    -----
-    Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -7670,9 +7665,6 @@ def window_time(
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     windowColumn : :class:`~pyspark.sql.Column`
@@ -7683,6 +7675,10 @@ def window_time(
     :class:`~pyspark.sql.Column`
         the column for computed results.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> import datetime
@@ -11180,9 +11176,6 @@ def get(col: "ColumnOrName", index: Union["ColumnOrName", int]) -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -11198,6 +11191,7 @@ def get(col: "ColumnOrName", index: Union["ColumnOrName", int]) -> Column:
     Notes
     -----
     The position is not 1 based, but 0 based index.
+    Supports Spark Connect.
 
     See Also
     --------
@@ -11346,9 +11340,6 @@ def array_insert(arr: "ColumnOrName", pos: Union["ColumnOrName", int], value: An
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     arr : :class:`~pyspark.sql.Column` or str
@@ -11364,6 +11355,10 @@ def array_insert(arr: "ColumnOrName", pos: Union["ColumnOrName", int], value: An
     :class:`~pyspark.sql.Column`
         an array of values, including the new specified value
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> df = spark.createDataFrame(
@@ -11486,9 +11481,6 @@ def array_compact(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -11499,6 +11491,10 @@ def array_compact(col: "ColumnOrName") -> Column:
     :class:`~pyspark.sql.Column`
         an array by excluding the null values.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> df = spark.createDataFrame([([1, None, 2, 3],), ([4, 5, None, 4],)], ['data'])
@@ -11516,9 +11512,6 @@ def array_append(col: "ColumnOrName", value: Any) -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -11531,6 +11524,10 @@ def array_append(col: "ColumnOrName", value: Any) -> Column:
     :class:`~pyspark.sql.Column`
         an array of values from first array along with the element.
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> from pyspark.sql import Row
@@ -11634,9 +11631,6 @@ def inline(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -11651,6 +11645,10 @@ def inline(col: "ColumnOrName") -> Column:
     --------
     :meth:`explode`
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> from pyspark.sql import Row
@@ -11775,9 +11773,6 @@ def inline_outer(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     col : :class:`~pyspark.sql.Column` or str
@@ -11793,6 +11788,10 @@ def inline_outer(col: "ColumnOrName") -> Column:
     :meth:`explode_outer`
     :meth:`inline`
 
+    Notes
+    -----
+    Supports Spark Connect.
+
     Examples
     --------
     >>> from pyspark.sql import Row
@@ -14472,8 +14471,9 @@ def unwrap_udt(col: "ColumnOrName") -> Column:
 
     .. versionadded:: 3.4.0
 
-    .. versionchanged:: 3.4.0
-        Supports Spark Connect.
+    Notes
+    -----
+    Supports Spark Connect.
     """
     return _invoke_function("unwrap_udt", _to_java_column(col))
 
diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index 7a492d634cf9a..d3f3359acea57 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -851,12 +851,13 @@ def udtf(self) -> "UDTFRegistration":
 
         .. versionadded:: 3.5.0
 
-        .. versionchanged:: 3.5.0
-            Supports Spark Connect.
-
         Returns
         -------
         :class:`UDTFRegistration`
+
+        Notes
+        -----
+        Supports Spark Connect.
         """
         from pyspark.sql.udtf import UDTFRegistration
 

From 99c9e63999eb0687c961577b6f9dda588a45ea1b Mon Sep 17 00:00:00 2001
From: Peter Toth <peter.toth@gmail.com>
Date: Tue, 22 Aug 2023 14:13:03 +0200
Subject: [PATCH 287/986] [SPARK-44871][SQL] Fix percentile_disc behaviour

This PR fixes `percentile_disc()` function as currently it returns inforrect results in some cases. E.g.:
```
SELECT
  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
FROM VALUES (0), (1), (2), (3), (4) AS v(a)
```
currently returns:
```
+---+---+---+---+---+---+---+---+---+---+---+
| p0| p1| p2| p3| p4| p5| p6| p7| p8| p9|p10|
+---+---+---+---+---+---+---+---+---+---+---+
|0.0|0.0|0.0|1.0|1.0|2.0|2.0|2.0|3.0|3.0|4.0|
+---+---+---+---+---+---+---+---+---+---+---+
```
but after this PR it returns the correct:
```
+---+---+---+---+---+---+---+---+---+---+---+
| p0| p1| p2| p3| p4| p5| p6| p7| p8| p9|p10|
+---+---+---+---+---+---+---+---+---+---+---+
|0.0|0.0|0.0|1.0|1.0|2.0|2.0|3.0|3.0|4.0|4.0|
+---+---+---+---+---+---+---+---+---+---+---+
```

Bugfix.

Yes, fixes a correctness bug, but the old behaviour can be restored with `spark.sql.legacy.percentileDiscCalculation=true`.

Added new UTs.

Closes #42559 from peter-toth/SPARK-44871-fix-percentile-disc-behaviour.

Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: Peter Toth <peter.toth@gmail.com>
(cherry picked from commit bd8fbf465796038b1975c228325b354888eb9c0b)
Signed-off-by: Peter Toth <peter.toth@gmail.com>
---
 .../expressions/aggregate/percentiles.scala   |  39 +++++-
 .../apache/spark/sql/internal/SQLConf.scala   |  10 ++
 .../analyzer-results/percentiles.sql.out      | 128 ++++++++++++++++--
 .../postgreSQL/aggregates_part4.sql.out       |   2 +-
 .../postgreSQL/udf-aggregates_part4.sql.out   |   2 +-
 .../sql-tests/inputs/percentiles.sql          |  77 ++++++++++-
 .../sql-tests/results/percentiles.sql.out     | 116 ++++++++++++++++
 7 files changed, 356 insertions(+), 18 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
index b26502a176339..74d848298698b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
@@ -28,6 +28,7 @@ import org.apache.spark.sql.catalyst.trees.{BinaryLike, TernaryLike, UnaryLike}
 import org.apache.spark.sql.catalyst.types.PhysicalDataType
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.errors.QueryExecutionErrors
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.TypeCollection.NumericAndAnsiInterval
 import org.apache.spark.util.collection.OpenHashMap
@@ -164,11 +165,8 @@ abstract class PercentileBase
     val accumulatedCounts = sortedCounts.scanLeft((sortedCounts.head._1, 0L)) {
       case ((key1, count1), (key2, count2)) => (key2, count1 + count2)
     }.tail
-    val maxPosition = accumulatedCounts.last._2 - 1
 
-    percentages.map { percentile =>
-      getPercentile(accumulatedCounts, maxPosition * percentile)
-    }
+    percentages.map(getPercentile(accumulatedCounts, _))
   }
 
   private def generateOutput(percentiles: Seq[Double]): Any = {
@@ -191,8 +189,11 @@ abstract class PercentileBase
    * This function has been based upon similar function from HIVE
    * `org.apache.hadoop.hive.ql.udf.UDAFPercentile.getPercentile()`.
    */
-  private def getPercentile(
-      accumulatedCounts: Seq[(AnyRef, Long)], position: Double): Double = {
+  protected def getPercentile(
+      accumulatedCounts: Seq[(AnyRef, Long)],
+      percentile: Double): Double = {
+    val position = (accumulatedCounts.last._2 - 1) * percentile
+
     // We may need to do linear interpolation to get the exact percentile
     val lower = position.floor.toLong
     val higher = position.ceil.toLong
@@ -215,6 +216,7 @@ abstract class PercentileBase
     }
 
     if (discrete) {
+      // We end up here only if spark.sql.legacy.percentileDiscCalculation=true
       toDoubleValue(lowerKey)
     } else {
       // Linear interpolation to get the exact percentile
@@ -384,7 +386,9 @@ case class PercentileDisc(
     percentageExpression: Expression,
     reverse: Boolean = false,
     mutableAggBufferOffset: Int = 0,
-    inputAggBufferOffset: Int = 0) extends PercentileBase with BinaryLike[Expression] {
+    inputAggBufferOffset: Int = 0,
+    legacyCalculation: Boolean = SQLConf.get.getConf(SQLConf.LEGACY_PERCENTILE_DISC_CALCULATION))
+  extends PercentileBase with BinaryLike[Expression] {
 
   val frequencyExpression: Expression = Literal(1L)
 
@@ -412,4 +416,25 @@ case class PercentileDisc(
     child = newLeft,
     percentageExpression = newRight
   )
+
+  override protected def getPercentile(
+      accumulatedCounts: Seq[(AnyRef, Long)],
+      percentile: Double): Double = {
+    if (legacyCalculation) {
+      super.getPercentile(accumulatedCounts, percentile)
+    } else {
+      // `percentile_disc(p)` returns the value with the smallest `cume_dist()` value given that is
+      // greater than or equal to `p` so `position` here is `p` adjusted by max position.
+      val position = accumulatedCounts.last._2 * percentile
+
+      val higher = position.ceil.toLong
+
+      // Use binary search to find the higher position.
+      val countsArray = accumulatedCounts.map(_._2).toArray[Long]
+      val higherIndex = binarySearchCount(countsArray, 0, accumulatedCounts.size, higher)
+      val higherKey = accumulatedCounts(higherIndex)._1
+
+      toDoubleValue(higherKey)
+    }
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 2c1a701167794..9a2ba2d3aa74d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4321,6 +4321,16 @@ object SQLConf {
       .checkValue(_ >= 0, "The threshold of cached local relations must not be negative")
       .createWithDefault(64 * 1024 * 1024)
 
+  val LEGACY_PERCENTILE_DISC_CALCULATION = buildConf("spark.sql.legacy.percentileDiscCalculation")
+    .internal()
+    .doc("If true, the old bogus percentile_disc calculation is used. The old calculation " +
+      "incorrectly mapped the requested percentile to the sorted range of values in some cases " +
+      "and so returned incorrect results. Also, the new implementation is faster as it doesn't " +
+      "contain the interpolation logic that the old percentile_cont based one did.")
+    .version("3.3.4")
+    .booleanConf
+    .createWithDefault(false)
+
   /**
    * Holds information about keys that have been deprecated.
    *
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
index fa7529b594eae..36845ce63466e 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
@@ -103,7 +103,7 @@ SELECT
   percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC) FILTER (WHERE k > 0)
 FROM aggr
 -- !query analysis
-Aggregate [percentile_disc(v#x, cast(0.25 as double), false, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v)#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v) FILTER (WHERE (k > 0))#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC)#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC) FILTER (WHERE (k > 0))#x]
+Aggregate [percentile_disc(v#x, cast(0.25 as double), false, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v)#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0, false) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v) FILTER (WHERE (k > 0))#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC)#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0, false) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC) FILTER (WHERE (k > 0))#x]
 +- SubqueryAlias aggr
    +- View (`aggr`, [k#x,v#x])
       +- Project [cast(k#x as int) AS k#x, cast(v#x as int) AS v#x]
@@ -124,7 +124,7 @@ GROUP BY k
 ORDER BY k
 -- !query analysis
 Sort [k#x ASC NULLS FIRST], true
-+- Aggregate [k#x], [k#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v)#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v) FILTER (WHERE (k > 0))#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC)#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC) FILTER (WHERE (k > 0))#x]
++- Aggregate [k#x], [k#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v)#x, percentile_disc(v#x, cast(0.25 as double), false, 0, 0, false) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v) FILTER (WHERE (k > 0))#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC)#x, percentile_disc(v#x, cast(0.25 as double), true, 0, 0, false) FILTER (WHERE (k#x > 0)) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY v DESC) FILTER (WHERE (k > 0))#x]
    +- SubqueryAlias aggr
       +- View (`aggr`, [k#x,v#x])
          +- Project [cast(k#x as int) AS k#x, cast(v#x as int) AS v#x]
@@ -184,7 +184,7 @@ ORDER BY salary
 Sort [salary#x ASC NULLS FIRST], true
 +- Project [employee_name#x, department#x, salary#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
    +- Project [employee_name#x, department#x, salary#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
-      +- Window [percentile_cont(salary#x, cast(0.25 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), false, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.25 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), true, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
+      +- Window [percentile_cont(salary#x, cast(0.25 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), false, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.25 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), true, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
          +- Project [employee_name#x, department#x, salary#x]
             +- SubqueryAlias basic_pays
                +- View (`basic_pays`, [employee_name#x,department#x,salary#x])
@@ -364,7 +364,7 @@ ORDER BY salary
 Sort [salary#x ASC NULLS FIRST], true
 +- Project [employee_name#x, department#x, salary#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
    +- Project [employee_name#x, department#x, salary#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
-      +- Window [percentile_cont(salary#x, cast(0.25 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), false, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.25 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), true, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
+      +- Window [percentile_cont(salary#x, cast(0.25 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), false, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.25 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.25 as double), true, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
          +- Project [employee_name#x, department#x, salary#x]
             +- SubqueryAlias basic_pays
                +- View (`basic_pays`, [employee_name#x,department#x,salary#x])
@@ -392,7 +392,7 @@ ORDER BY salary
 Sort [salary#x ASC NULLS FIRST], true
 +- Project [employee_name#x, department#x, salary#x, median(salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
    +- Project [employee_name#x, department#x, salary#x, median(salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, median(salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x]
-      +- Window [median(salary#x) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS median(salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.5 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.5 as double), false, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.5 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.5 as double), true, 0, 0) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
+      +- Window [median(salary#x) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS median(salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.5 as double), false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.5 as double), false, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY salary) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_cont(salary#x, cast(0.5 as double), true) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_cont(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x, percentile_disc(salary#x, cast(0.5 as double), true, 0, 0, false) windowspecdefinition(department#x, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY salary DESC) OVER (PARTITION BY department ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)#x], [department#x]
          +- Project [employee_name#x, department#x, salary#x]
             +- Filter (salary#x > 8900)
                +- SubqueryAlias basic_pays
@@ -659,7 +659,7 @@ SELECT
   percentile_disc(0.25) WITHIN GROUP (ORDER BY dt DESC)
 FROM intervals
 -- !query analysis
-Aggregate [percentile_disc(dt#x, cast(0.25 as double), false, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt)#x, percentile_disc(dt#x, cast(0.25 as double), true, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt DESC)#x]
+Aggregate [percentile_disc(dt#x, cast(0.25 as double), false, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt)#x, percentile_disc(dt#x, cast(0.25 as double), true, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt DESC)#x]
 +- SubqueryAlias intervals
    +- View (`intervals`, [k#x,dt#x,ym#x,dt2#x])
       +- Project [cast(k#x as int) AS k#x, cast(dt#x as interval month) AS dt#x, cast(ym#x as interval second) AS ym#x, cast(dt2#x as interval minute) AS dt2#x]
@@ -678,7 +678,7 @@ GROUP BY k
 ORDER BY k
 -- !query analysis
 Sort [k#x ASC NULLS FIRST], true
-+- Aggregate [k#x], [k#x, percentile_disc(ym#x, cast(0.25 as double), false, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY ym)#x, percentile_disc(ym#x, cast(0.25 as double), true, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY ym DESC)#x]
++- Aggregate [k#x], [k#x, percentile_disc(ym#x, cast(0.25 as double), false, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY ym)#x, percentile_disc(ym#x, cast(0.25 as double), true, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY ym DESC)#x]
    +- SubqueryAlias intervals
       +- View (`intervals`, [k#x,dt#x,ym#x,dt2#x])
          +- Project [cast(k#x as int) AS k#x, cast(dt#x as interval month) AS dt#x, cast(ym#x as interval second) AS ym#x, cast(dt2#x as interval minute) AS dt2#x]
@@ -697,7 +697,7 @@ GROUP BY k
 ORDER BY k
 -- !query analysis
 Sort [k#x ASC NULLS FIRST], true
-+- Aggregate [k#x], [k#x, percentile_disc(dt2#x, cast(0.25 as double), false, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt2)#x, percentile_disc(dt2#x, cast(0.25 as double), true, 0, 0) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt2 DESC)#x]
++- Aggregate [k#x], [k#x, percentile_disc(dt2#x, cast(0.25 as double), false, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt2)#x, percentile_disc(dt2#x, cast(0.25 as double), true, 0, 0, false) AS percentile_disc(0.25) WITHIN GROUP (ORDER BY dt2 DESC)#x]
    +- SubqueryAlias intervals
       +- View (`intervals`, [k#x,dt#x,ym#x,dt2#x])
          +- Project [cast(k#x as int) AS k#x, cast(dt#x as interval month) AS dt#x, cast(ym#x as interval second) AS ym#x, cast(dt2#x as interval minute) AS dt2#x]
@@ -760,3 +760,115 @@ Sort [k#x ASC NULLS FIRST], true
             +- Project [k#x, dt#x, ym#x, dt2#x]
                +- SubqueryAlias intervals
                   +- LocalRelation [k#x, dt#x, ym#x, dt2#x]
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0) AS v(a)
+-- !query analysis
+Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, false) AS p0#x, percentile_disc(a#x, cast(0.1 as double), false, 0, 0, false) AS p1#x, percentile_disc(a#x, cast(0.2 as double), false, 0, 0, false) AS p2#x, percentile_disc(a#x, cast(0.3 as double), false, 0, 0, false) AS p3#x, percentile_disc(a#x, cast(0.4 as double), false, 0, 0, false) AS p4#x, percentile_disc(a#x, cast(0.5 as double), false, 0, 0, false) AS p5#x, percentile_disc(a#x, cast(0.6 as double), false, 0, 0, false) AS p6#x, percentile_disc(a#x, cast(0.7 as double), false, 0, 0, false) AS p7#x, percentile_disc(a#x, cast(0.8 as double), false, 0, 0, false) AS p8#x, percentile_disc(a#x, cast(0.9 as double), false, 0, 0, false) AS p9#x, percentile_disc(a#x, cast(1.0 as double), false, 0, 0, false) AS p10#x]
++- SubqueryAlias v
+   +- LocalRelation [a#x]
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1) AS v(a)
+-- !query analysis
+Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, false) AS p0#x, percentile_disc(a#x, cast(0.1 as double), false, 0, 0, false) AS p1#x, percentile_disc(a#x, cast(0.2 as double), false, 0, 0, false) AS p2#x, percentile_disc(a#x, cast(0.3 as double), false, 0, 0, false) AS p3#x, percentile_disc(a#x, cast(0.4 as double), false, 0, 0, false) AS p4#x, percentile_disc(a#x, cast(0.5 as double), false, 0, 0, false) AS p5#x, percentile_disc(a#x, cast(0.6 as double), false, 0, 0, false) AS p6#x, percentile_disc(a#x, cast(0.7 as double), false, 0, 0, false) AS p7#x, percentile_disc(a#x, cast(0.8 as double), false, 0, 0, false) AS p8#x, percentile_disc(a#x, cast(0.9 as double), false, 0, 0, false) AS p9#x, percentile_disc(a#x, cast(1.0 as double), false, 0, 0, false) AS p10#x]
++- SubqueryAlias v
+   +- LocalRelation [a#x]
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2) AS v(a)
+-- !query analysis
+Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, false) AS p0#x, percentile_disc(a#x, cast(0.1 as double), false, 0, 0, false) AS p1#x, percentile_disc(a#x, cast(0.2 as double), false, 0, 0, false) AS p2#x, percentile_disc(a#x, cast(0.3 as double), false, 0, 0, false) AS p3#x, percentile_disc(a#x, cast(0.4 as double), false, 0, 0, false) AS p4#x, percentile_disc(a#x, cast(0.5 as double), false, 0, 0, false) AS p5#x, percentile_disc(a#x, cast(0.6 as double), false, 0, 0, false) AS p6#x, percentile_disc(a#x, cast(0.7 as double), false, 0, 0, false) AS p7#x, percentile_disc(a#x, cast(0.8 as double), false, 0, 0, false) AS p8#x, percentile_disc(a#x, cast(0.9 as double), false, 0, 0, false) AS p9#x, percentile_disc(a#x, cast(1.0 as double), false, 0, 0, false) AS p10#x]
++- SubqueryAlias v
+   +- LocalRelation [a#x]
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a)
+-- !query analysis
+Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, false) AS p0#x, percentile_disc(a#x, cast(0.1 as double), false, 0, 0, false) AS p1#x, percentile_disc(a#x, cast(0.2 as double), false, 0, 0, false) AS p2#x, percentile_disc(a#x, cast(0.3 as double), false, 0, 0, false) AS p3#x, percentile_disc(a#x, cast(0.4 as double), false, 0, 0, false) AS p4#x, percentile_disc(a#x, cast(0.5 as double), false, 0, 0, false) AS p5#x, percentile_disc(a#x, cast(0.6 as double), false, 0, 0, false) AS p6#x, percentile_disc(a#x, cast(0.7 as double), false, 0, 0, false) AS p7#x, percentile_disc(a#x, cast(0.8 as double), false, 0, 0, false) AS p8#x, percentile_disc(a#x, cast(0.9 as double), false, 0, 0, false) AS p9#x, percentile_disc(a#x, cast(1.0 as double), false, 0, 0, false) AS p10#x]
++- SubqueryAlias v
+   +- LocalRelation [a#x]
+
+
+-- !query
+SET spark.sql.legacy.percentileDiscCalculation = true
+-- !query analysis
+SetCommand (spark.sql.legacy.percentileDiscCalculation,Some(true))
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a)
+-- !query analysis
+Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, true) AS p0#x, percentile_disc(a#x, cast(0.1 as double), false, 0, 0, true) AS p1#x, percentile_disc(a#x, cast(0.2 as double), false, 0, 0, true) AS p2#x, percentile_disc(a#x, cast(0.3 as double), false, 0, 0, true) AS p3#x, percentile_disc(a#x, cast(0.4 as double), false, 0, 0, true) AS p4#x, percentile_disc(a#x, cast(0.5 as double), false, 0, 0, true) AS p5#x, percentile_disc(a#x, cast(0.6 as double), false, 0, 0, true) AS p6#x, percentile_disc(a#x, cast(0.7 as double), false, 0, 0, true) AS p7#x, percentile_disc(a#x, cast(0.8 as double), false, 0, 0, true) AS p8#x, percentile_disc(a#x, cast(0.9 as double), false, 0, 0, true) AS p9#x, percentile_disc(a#x, cast(1.0 as double), false, 0, 0, true) AS p10#x]
++- SubqueryAlias v
+   +- LocalRelation [a#x]
+
+
+-- !query
+SET spark.sql.legacy.percentileDiscCalculation = false
+-- !query analysis
+SetCommand (spark.sql.legacy.percentileDiscCalculation,Some(false))
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part4.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part4.sql.out
index 11670e7056c0c..0422aaf40f3c9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part4.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/aggregates_part4.sql.out
@@ -26,6 +26,6 @@ Aggregate [percentile_cont(thousand#x, cast(0.5 as double), false) AS percentile
 -- !query
 select percentile_disc(0.5) within group (order by thousand) from tenk1
 -- !query analysis
-Aggregate [percentile_disc(thousand#x, cast(0.5 as double), false, 0, 0) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY thousand)#x]
+Aggregate [percentile_disc(thousand#x, cast(0.5 as double), false, 0, 0, false) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY thousand)#x]
 +- SubqueryAlias spark_catalog.default.tenk1
    +- Relation spark_catalog.default.tenk1[unique1#x,unique2#x,two#x,four#x,ten#x,twenty#x,hundred#x,thousand#x,twothousand#x,fivethous#x,tenthous#x,odd#x,even#x,stringu1#x,stringu2#x,string4#x] parquet
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part4.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part4.sql.out
index 11670e7056c0c..0422aaf40f3c9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part4.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/udf/postgreSQL/udf-aggregates_part4.sql.out
@@ -26,6 +26,6 @@ Aggregate [percentile_cont(thousand#x, cast(0.5 as double), false) AS percentile
 -- !query
 select percentile_disc(0.5) within group (order by thousand) from tenk1
 -- !query analysis
-Aggregate [percentile_disc(thousand#x, cast(0.5 as double), false, 0, 0) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY thousand)#x]
+Aggregate [percentile_disc(thousand#x, cast(0.5 as double), false, 0, 0, false) AS percentile_disc(0.5) WITHIN GROUP (ORDER BY thousand)#x]
 +- SubqueryAlias spark_catalog.default.tenk1
    +- Relation spark_catalog.default.tenk1[unique1#x,unique2#x,two#x,four#x,ten#x,twenty#x,hundred#x,thousand#x,twothousand#x,fivethous#x,tenthous#x,odd#x,even#x,stringu1#x,stringu2#x,string4#x] parquet
diff --git a/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql b/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
index c55c300b5e805..87c5d4be90ce1 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
@@ -299,4 +299,79 @@ SELECT
   percentile_cont(0.5) WITHIN GROUP (ORDER BY dt2)
 FROM intervals
 GROUP BY k
-ORDER BY k;
\ No newline at end of file
+ORDER BY k;
+
+-- SPARK-44871: Fix percentile_disc behaviour
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0) AS v(a);
+
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1) AS v(a);
+
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2) AS v(a);
+
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a);
+
+SET spark.sql.legacy.percentileDiscCalculation = true;
+
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a);
+
+SET spark.sql.legacy.percentileDiscCalculation = false;
diff --git a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
index a83eee69fec37..0d6ab54286110 100644
--- a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
@@ -730,3 +730,119 @@ struct<k:int,median(dt2):interval day to second,percentile(dt2, 0.5, 1):interval
 2	0 00:22:30.000000000	0 00:22:30.000000000	0 00:22:30.000000000
 3	0 01:00:00.000000000	0 01:00:00.000000000	0 01:00:00.000000000
 4	NULL	NULL	NULL
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0) AS v(a)
+-- !query schema
+struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:double,p8:double,p9:double,p10:double>
+-- !query output
+0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1) AS v(a)
+-- !query schema
+struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:double,p8:double,p9:double,p10:double>
+-- !query output
+0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2) AS v(a)
+-- !query schema
+struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:double,p8:double,p9:double,p10:double>
+-- !query output
+0.0	0.0	0.0	0.0	1.0	1.0	1.0	2.0	2.0	2.0	2.0
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a)
+-- !query schema
+struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:double,p8:double,p9:double,p10:double>
+-- !query output
+0.0	0.0	0.0	1.0	1.0	2.0	2.0	3.0	3.0	4.0	4.0
+
+
+-- !query
+SET spark.sql.legacy.percentileDiscCalculation = true
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.percentileDiscCalculation	true
+
+
+-- !query
+SELECT
+  percentile_disc(0.0) WITHIN GROUP (ORDER BY a) as p0,
+  percentile_disc(0.1) WITHIN GROUP (ORDER BY a) as p1,
+  percentile_disc(0.2) WITHIN GROUP (ORDER BY a) as p2,
+  percentile_disc(0.3) WITHIN GROUP (ORDER BY a) as p3,
+  percentile_disc(0.4) WITHIN GROUP (ORDER BY a) as p4,
+  percentile_disc(0.5) WITHIN GROUP (ORDER BY a) as p5,
+  percentile_disc(0.6) WITHIN GROUP (ORDER BY a) as p6,
+  percentile_disc(0.7) WITHIN GROUP (ORDER BY a) as p7,
+  percentile_disc(0.8) WITHIN GROUP (ORDER BY a) as p8,
+  percentile_disc(0.9) WITHIN GROUP (ORDER BY a) as p9,
+  percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
+FROM VALUES (0), (1), (2), (3), (4) AS v(a)
+-- !query schema
+struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:double,p8:double,p9:double,p10:double>
+-- !query output
+0.0	0.0	0.0	1.0	1.0	2.0	2.0	2.0	3.0	3.0	4.0
+
+
+-- !query
+SET spark.sql.legacy.percentileDiscCalculation = false
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.percentileDiscCalculation	false

From 2f162e51fd06b14eaa3ba9a542229bae26f30d71 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 23 Aug 2023 08:01:06 +0800
Subject: [PATCH 288/986] [SPARK-44907][PYTHON][CONNECT] DataFrame.join` should
 throw IllegalArgumentException for invalid join types

### What changes were proposed in this pull request?
`DataFrame.join` should throw IllegalArgumentException for invalid join types

### Why are the changes needed?
all valid join types have already been supported, for an unknown one, should throw `IllegalArgumentException` now

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
enabled UT

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42603 from zhengruifeng/test_df_join_type.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 7e5250a797e385dea65bdc3315e9bcfd827afbfb)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/plan.py                       | 9 +++++++--
 .../pyspark/sql/tests/connect/test_parity_dataframe.py   | 5 -----
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 2e918700848cc..84fd013d0144a 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -41,7 +41,12 @@
     LiteralExpression,
 )
 from pyspark.sql.connect.types import pyspark_types_to_proto_types, UnparsedDataType
-from pyspark.errors import PySparkTypeError, PySparkNotImplementedError, PySparkRuntimeError
+from pyspark.errors import (
+    PySparkTypeError,
+    PySparkNotImplementedError,
+    PySparkRuntimeError,
+    IllegalArgumentException,
+)
 
 if TYPE_CHECKING:
     from pyspark.sql.connect._typing import ColumnOrName
@@ -854,7 +859,7 @@ def __init__(
         elif how == "cross":
             join_type = proto.Join.JoinType.JOIN_TYPE_CROSS
         else:
-            raise PySparkNotImplementedError(
+            raise IllegalArgumentException(
                 error_class="UNSUPPORTED_JOIN_TYPE",
                 message_parameters={"join_type": how},
             )
diff --git a/python/pyspark/sql/tests/connect/test_parity_dataframe.py b/python/pyspark/sql/tests/connect/test_parity_dataframe.py
index ccc0b997e8d4b..cc9f71f8b46f1 100644
--- a/python/pyspark/sql/tests/connect/test_parity_dataframe.py
+++ b/python/pyspark/sql/tests/connect/test_parity_dataframe.py
@@ -26,11 +26,6 @@ class DataFrameParityTests(DataFrameTestsMixin, ReusedConnectTestCase):
     def test_help_command(self):
         super().test_help_command()
 
-    # Spark Connect throws NotImplementedError tests expects IllegalArgumentException
-    @unittest.skip("Fails in Spark Connect, should enable.")
-    def test_invalid_join_method(self):
-        super().test_invalid_join_method()
-
     # TODO(SPARK-41527): Implement DataFrame.observe
     @unittest.skip("Fails in Spark Connect, should enable.")
     def test_observe(self):

From 319dff11c373cc872aab4e7d55745561ee5d7b0e Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Wed, 23 Aug 2023 11:31:22 +0900
Subject: [PATCH 289/986] [SPARK-44742][PYTHON][DOCS] Add Spark version drop
 down to the PySpark doc site

### What changes were proposed in this pull request?
The pr aims to add Spark version drop down to the PySpark doc site.

### Why are the changes needed?
Currently, PySpark documentation does not have a version dropdown. While by default we want people to land on the latest version, it will be helpful and easier for people to find docs if we have this version dropdown.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manual testing.

```
cd python/docs
make html
```

Closes #42428 from panbingkun/SPARK-44742.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 49ba2443c118fc0322daf903b6c3370b73bcb0ce)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/docs/source/_static/css/pyspark.css    | 13 ++++
 python/docs/source/_static/versions.json      | 22 ++++++
 .../source/_templates/version-switcher.html   | 77 +++++++++++++++++++
 python/docs/source/conf.py                    |  9 ++-
 4 files changed, 120 insertions(+), 1 deletion(-)
 create mode 100644 python/docs/source/_static/versions.json
 create mode 100644 python/docs/source/_templates/version-switcher.html

diff --git a/python/docs/source/_static/css/pyspark.css b/python/docs/source/_static/css/pyspark.css
index 89b7c65f27a51..ccfe60f2bca64 100644
--- a/python/docs/source/_static/css/pyspark.css
+++ b/python/docs/source/_static/css/pyspark.css
@@ -95,3 +95,16 @@ u.bd-sidebar .nav>li>ul>.active:hover>a,.bd-sidebar .nav>li>ul>.active>a {
 .spec_table tr, td, th {
     border-top: none!important;
 }
+
+/* Styling to the version dropdown */
+#version-button {
+  padding-left: 0.2rem;
+  padding-right: 3.2rem;
+}
+
+#version_switcher {
+  height: auto;
+  max-height: 300px;
+  width: 165px;
+  overflow-y: auto;
+}
diff --git a/python/docs/source/_static/versions.json b/python/docs/source/_static/versions.json
new file mode 100644
index 0000000000000..3d0bd14818064
--- /dev/null
+++ b/python/docs/source/_static/versions.json
@@ -0,0 +1,22 @@
+[
+    {
+        "name": "3.4.1",
+        "version": "3.4.1"
+    },
+    {
+        "name": "3.4.0",
+        "version": "3.4.0"
+    },
+    {
+        "name": "3.3.2",
+        "version": "3.3.2"
+    },
+    {
+        "name": "3.3.1",
+        "version": "3.3.1"
+    },
+    {
+        "name": "3.3.0",
+        "version": "3.3.0"
+    }
+]
diff --git a/python/docs/source/_templates/version-switcher.html b/python/docs/source/_templates/version-switcher.html
new file mode 100644
index 0000000000000..16c443229f4be
--- /dev/null
+++ b/python/docs/source/_templates/version-switcher.html
@@ -0,0 +1,77 @@
+<!--
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements.  See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to You under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License.  You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+<div id="version-button" class="dropdown">
+    <button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
+        {{ release }}
+        <span class="caret"></span>
+    </button>
+    <div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
+    <!-- dropdown will be populated by javascript on page load -->
+    </div>
+</div>
+
+<script type="text/javascript">
+// Function to construct the target URL from the JSON components
+function buildURL(entry) {
+    var template = "{{ switcher_template_url }}";  // supplied by jinja
+    template = template.replace("{version}", entry.version);
+    return template;
+}
+
+// Function to check if corresponding page path exists in other version of docs
+// and, if so, go there instead of the homepage of the other docs version
+function checkPageExistsAndRedirect(event) {
+    const currentFilePath = "{{ pagename }}.html",
+          otherDocsHomepage = event.target.getAttribute("href");
+    let tryUrl = `${otherDocsHomepage}${currentFilePath}`;
+    $.ajax({
+        type: 'HEAD',
+        url: tryUrl,
+        // if the page exists, go there
+        success: function() {
+            location.href = tryUrl;
+        }
+    }).fail(function() {
+        location.href = otherDocsHomepage;
+    });
+    return false;
+}
+
+// Function to populate the version switcher
+(function () {
+    // get JSON config
+    $.getJSON("{{ switcher_json_url }}", function(data, textStatus, jqXHR) {
+        // create the nodes first (before AJAX calls) to ensure the order is
+        // correct (for now, links will go to doc version homepage)
+        $.each(data, function(index, entry) {
+            // if no custom name specified (e.g., "latest"), use version string
+            if (!("name" in entry)) {
+                entry.name = entry.version;
+            }
+            // construct the appropriate URL, and add it to the dropdown
+            entry.url = buildURL(entry);
+            const node = document.createElement("a");
+            node.setAttribute("class", "list-group-item list-group-item-action py-1");
+            node.setAttribute("href", `${entry.url}`);
+            node.textContent = `${entry.name}`;
+            node.onclick = checkPageExistsAndRedirect;
+            $("#version_switcher").append(node);
+        });
+    });
+})();
+</script>
diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 38c331048e7b6..0f57cb37ceeb1 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -177,10 +177,17 @@
 # a list of builtin themes.
 html_theme = 'pydata_sphinx_theme'
 
+html_context = {
+    "switcher_json_url": "_static/versions.json",
+    "switcher_template_url": "https://spark.apache.org/docs/{version}/api/python/index.html",
+}
+
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
 # documentation.
-#html_theme_options = {}
+html_theme_options = {
+    "navbar_end": ["version-switcher"]
+}
 
 # Add any paths that contain custom themes here, relative to this directory.
 #html_theme_path = []

From fc1e0046907498a5252011e018a70a7818802160 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 23 Aug 2023 10:36:39 +0800
Subject: [PATCH 290/986] [SPARK-44905][SQL] Stateful lastRegex causes
 NullPointerException on eval for regexp_replace

### What changes were proposed in this pull request?

This PR resets lastRegex to null on failure for subsequential calls to regenerate pattern value

### Why are the changes needed?

Fix the NPE of accessing a null value pattern. see https://github.com/apache/spark/pull/42481#issuecomment-1687474449 for more infomation

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42601 from yaooqinn/SPARK-44905.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 13588c10cbc380ecba1231223425eaad2eb9ec80)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../expressions/regexpExpressions.scala       | 104 ++++++++----------
 .../spark/sql/StringFunctionsSuite.scala      |  15 +++
 2 files changed, 63 insertions(+), 56 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
index 7f37f02f5a915..caf41df34d0a8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
@@ -637,14 +637,9 @@ case class RegExpReplace(subject: Expression, regexp: Expression, rep: Expressio
 
   override def nullSafeEval(s: Any, p: Any, r: Any, i: Any): Any = {
     if (!p.equals(lastRegex)) {
-      // regex value changed
-      lastRegex = p.asInstanceOf[UTF8String].clone()
-      try {
-        pattern = Pattern.compile(lastRegex.toString)
-      } catch {
-        case e: PatternSyntaxException =>
-          throw QueryExecutionErrors.invalidPatternError(prettyName, e.getPattern, e)
-      }
+      val patternAndRegex = RegExpUtils.getPatternAndLastRegex(p, prettyName)
+      pattern = patternAndRegex._1
+      lastRegex = patternAndRegex._2
     }
     if (!r.equals(lastReplacementInUTF8)) {
       // replacement string changed
@@ -675,15 +670,12 @@ case class RegExpReplace(subject: Expression, regexp: Expression, rep: Expressio
   override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
     val termResult = ctx.freshName("termResult")
 
-    val classNamePattern = classOf[Pattern].getCanonicalName
     val classNameStringBuffer = classOf[java.lang.StringBuffer].getCanonicalName
 
     val matcher = ctx.freshName("matcher")
     val source = ctx.freshName("source")
     val position = ctx.freshName("position")
 
-    val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
-    val termPattern = ctx.addMutableState(classNamePattern, "pattern")
     val termLastReplacement = ctx.addMutableState("String", "lastReplacement")
     val termLastReplacementInUTF8 = ctx.addMutableState("UTF8String", "lastReplacementInUTF8")
 
@@ -695,15 +687,7 @@ case class RegExpReplace(subject: Expression, regexp: Expression, rep: Expressio
 
     nullSafeCodeGen(ctx, ev, (subject, regexp, rep, pos) => {
     s"""
-      if (!$regexp.equals($termLastRegex)) {
-        // regex value changed
-        $termLastRegex = $regexp.clone();
-        try {
-          $termPattern = $classNamePattern.compile($termLastRegex.toString());
-        } catch (java.util.regex.PatternSyntaxException e) {
-          throw QueryExecutionErrors.invalidPatternError("$prettyName", e.getPattern(), e);
-        }
-      }
+      ${RegExpUtils.initLastMatcherCode(ctx, subject, regexp, matcher, prettyName)}
       if (!$rep.equals($termLastReplacementInUTF8)) {
         // replacement string changed
         $termLastReplacementInUTF8 = $rep.clone();
@@ -713,7 +697,6 @@ case class RegExpReplace(subject: Expression, regexp: Expression, rep: Expressio
       int $position = $pos - 1;
       if ($position == 0 || $position < $source.length()) {
         $classNameStringBuffer $termResult = new $classNameStringBuffer();
-        java.util.regex.Matcher $matcher = $termPattern.matcher($source);
         $matcher.region($position, $source.length());
 
         while ($matcher.find()) {
@@ -775,41 +758,12 @@ abstract class RegExpExtractBase
   protected def getLastMatcher(s: Any, p: Any): Matcher = {
     if (p != lastRegex) {
       // regex value changed
-      try {
-        val r = p.asInstanceOf[UTF8String].clone()
-        pattern = Pattern.compile(r.toString)
-        lastRegex = r
-      } catch {
-        case e: PatternSyntaxException =>
-          throw QueryExecutionErrors.invalidPatternError(prettyName, e.getPattern, e)
-      }
+      val patternAndRegex = RegExpUtils.getPatternAndLastRegex(p, prettyName)
+      pattern = patternAndRegex._1
+      lastRegex = patternAndRegex._2
     }
     pattern.matcher(s.toString)
   }
-
-  protected def initLastMatcherCode(
-      ctx: CodegenContext,
-      subject: String,
-      regexp: String,
-      matcher: String): String = {
-    val classNamePattern = classOf[Pattern].getCanonicalName
-    val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
-    val termPattern = ctx.addMutableState(classNamePattern, "pattern")
-
-    s"""
-      |if (!$regexp.equals($termLastRegex)) {
-      |  // regex value changed
-      |  try {
-      |    UTF8String r = $regexp.clone();
-      |    $termPattern = $classNamePattern.compile(r.toString());
-      |    $termLastRegex = r;
-      |  } catch (java.util.regex.PatternSyntaxException e) {
-      |    throw QueryExecutionErrors.invalidPatternError("$prettyName", e.getPattern(), e);
-      |  }
-      |}
-      |java.util.regex.Matcher $matcher = $termPattern.matcher($subject.toString());
-      |""".stripMargin
-  }
 }
 
 /**
@@ -882,7 +836,7 @@ case class RegExpExtract(subject: Expression, regexp: Expression, idx: Expressio
 
     nullSafeCodeGen(ctx, ev, (subject, regexp, idx) => {
       s"""
-      ${initLastMatcherCode(ctx, subject, regexp, matcher)}
+      ${RegExpUtils.initLastMatcherCode(ctx, subject, regexp, matcher, prettyName)}
       if ($matcher.find()) {
         java.util.regex.MatchResult $matchResult = $matcher.toMatchResult();
         $classNameRegExpExtractBase.checkGroupIndex("$prettyName", $matchResult.groupCount(), $idx);
@@ -976,7 +930,7 @@ case class RegExpExtractAll(subject: Expression, regexp: Expression, idx: Expres
     }
     nullSafeCodeGen(ctx, ev, (subject, regexp, idx) => {
       s"""
-         | ${initLastMatcherCode(ctx, subject, regexp, matcher)}
+         | ${RegExpUtils.initLastMatcherCode(ctx, subject, regexp, matcher, prettyName)}
          | java.util.ArrayList $matchResults = new java.util.ArrayList<UTF8String>();
          | while ($matcher.find()) {
          |   java.util.regex.MatchResult $matchResult = $matcher.toMatchResult();
@@ -1136,7 +1090,7 @@ case class RegExpInStr(subject: Expression, regexp: Expression, idx: Expression)
       s"""
          |try {
          |  $setEvNotNull
-         |  ${initLastMatcherCode(ctx, subject, regexp, matcher)}
+         |  ${RegExpUtils.initLastMatcherCode(ctx, subject, regexp, matcher, prettyName)}
          |  if ($matcher.find()) {
          |    ${ev.value} = $matcher.toMatchResult().start() + 1;
          |  } else {
@@ -1153,3 +1107,41 @@ case class RegExpInStr(subject: Expression, regexp: Expression, idx: Expression)
       newFirst: Expression, newSecond: Expression, newThird: Expression): RegExpInStr =
     copy(subject = newFirst, regexp = newSecond, idx = newThird)
 }
+
+object RegExpUtils {
+  def initLastMatcherCode(
+      ctx: CodegenContext,
+      subject: String,
+      regexp: String,
+      matcher: String,
+      prettyName: String): String = {
+    val classNamePattern = classOf[Pattern].getCanonicalName
+    val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
+    val termPattern = ctx.addMutableState(classNamePattern, "pattern")
+
+    s"""
+       |if (!$regexp.equals($termLastRegex)) {
+       |  // regex value changed
+       |  try {
+       |    UTF8String r = $regexp.clone();
+       |    $termPattern = $classNamePattern.compile(r.toString());
+       |    $termLastRegex = r;
+       |  } catch (java.util.regex.PatternSyntaxException e) {
+       |    throw QueryExecutionErrors.invalidPatternError("$prettyName", e.getPattern(), e);
+       |  }
+       |}
+       |java.util.regex.Matcher $matcher = $termPattern.matcher($subject.toString());
+       |""".stripMargin
+  }
+
+  def getPatternAndLastRegex(p: Any, prettyName: String): (Pattern, UTF8String) = {
+    val r = p.asInstanceOf[UTF8String].clone()
+    val pattern = try {
+      Pattern.compile(r.toString)
+    } catch {
+      case e: PatternSyntaxException =>
+        throw QueryExecutionErrors.invalidPatternError(prettyName, e.getPattern, e)
+    }
+    (pattern, r)
+  }
+}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
index d721fd913e9de..88c9e15570e30 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql
 
 import org.apache.spark.{SPARK_DOC_ROOT, SparkRuntimeException}
 import org.apache.spark.sql.catalyst.expressions.Cast._
+import org.apache.spark.sql.execution.FormattedMode
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
@@ -1171,4 +1172,18 @@ class StringFunctionsSuite extends QueryTest with SharedSparkSession {
     checkAnswer(df.selectExpr("try_to_number(a, '$99.99')"), Seq(Row(78.12)))
     checkAnswer(df.select(try_to_number(col("a"), lit("$99.99"))), Seq(Row(78.12)))
   }
+
+  test("SPARK-44905: stateful lastRegex causes NullPointerException on eval for regexp_replace") {
+    val df = sql("select regexp_replace('', '[a\\\\d]{0, 2}', 'x')")
+    intercept[SparkRuntimeException](df.queryExecution.optimizedPlan)
+    checkError(
+      exception = intercept[SparkRuntimeException](df.queryExecution.explainString(FormattedMode)),
+      errorClass = "INVALID_PARAMETER_VALUE.PATTERN",
+      parameters = Map(
+        "parameter" -> toSQLId("regexp"),
+        "functionName" -> toSQLId("regexp_replace"),
+        "value" -> "'[a\\\\d]{0, 2}'"
+      )
+    )
+  }
 }

From a8f78acccde083f14beef9e671b6bdab7c1c2919 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Tue, 22 Aug 2023 21:42:56 -0700
Subject: [PATCH 291/986] [SPARK-44840][SQL][3.5] Make `array_insert()` 1-based
 for negative indexes

### What changes were proposed in this pull request?
In the PR, I propose to make the `array_insert` function 1-based for negative indexes. So, the maximum index is -1 should point out to the last element, and the function should insert new element at the end of the given array for the index -1.

The old behaviour can be restored via the SQL config `spark.sql.legacy.negativeIndexInArrayInsert`.

This is a backport of https://github.com/apache/spark/pull/42564

### Why are the changes needed?
1.  To match the behaviour of functions such as `substr()` and `element_at()`.
```sql
spark-sql (default)> select element_at(array('a', 'b'), -1), substr('ab', -1);
b	b
```
2. To fix an inconsistency in `array_insert` in which positive indexes are 1-based, but negative indexes are 0-based.

### Does this PR introduce _any_ user-facing change?
Yes.

Before:
```sql
spark-sql (default)> select array_insert(array('a', 'b'), -1, 'c');
["a","c","b"]
```

After:
```sql
spark-sql (default)> select array_insert(array('a', 'b'), -1, 'c');
["a","b","c"]
```

### How was this patch tested?
By running the modified test suite:
```
$ build/sbt "test:testOnly *CollectionExpressionsSuite"
$ build/sbt "test:testOnly *DataFrameFunctionsSuite"
$ PYSPARK_PYTHON=python3 build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite"
```

Closes #42616 from MaxGekk/fix-array_insert-3.5-2.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../function_array_insert.explain             |  2 +-
 .../function_array_prepend.explain            |  2 +-
 docs/sql-migration-guide.md                   |  1 +
 python/pyspark/sql/functions.py               |  2 +-
 .../expressions/collectionOperations.scala    | 37 +++++++++-----
 .../apache/spark/sql/internal/SQLConf.scala   | 16 ++++++
 .../CollectionExpressionsSuite.scala          | 50 ++++++++++---------
 .../org/apache/spark/sql/functions.scala      |  2 +-
 .../analyzer-results/ansi/array.sql.out       | 44 ++++++++++++----
 .../sql-tests/analyzer-results/array.sql.out  | 44 ++++++++++++----
 .../test/resources/sql-tests/inputs/array.sql |  5 ++
 .../sql-tests/results/ansi/array.sql.out      | 34 ++++++++++++-
 .../resources/sql-tests/results/array.sql.out | 34 ++++++++++++-
 .../spark/sql/DataFrameFunctionsSuite.scala   |  6 ++-
 14 files changed, 218 insertions(+), 61 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_insert.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_insert.explain
index edcd790596bd2..f5096a363a3a6 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_insert.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_insert.explain
@@ -1,2 +1,2 @@
-Project [array_insert(e#0, 0, 1) AS array_insert(e, 0, 1)#0]
+Project [array_insert(e#0, 0, 1, false) AS array_insert(e, 0, 1)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_prepend.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_prepend.explain
index 4c3e7c85d64ee..1b20682b09d00 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_prepend.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_prepend.explain
@@ -1,2 +1,2 @@
-Project [array_insert(e#0, 1, 1) AS array_prepend(e, 1)#0]
+Project [array_insert(e#0, 1, 1, false) AS array_prepend(e, 1)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index c71b16cd8d6bf..5fc323ec1b0ea 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -29,6 +29,7 @@ license: |
 - Since Spark 3.5, Row's json and prettyJson methods are moved to `ToJsonUtil`.
 - Since Spark 3.5, the `plan` field is moved from `AnalysisException` to `EnhancedAnalysisException`.
 - Since Spark 3.5, `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` is enabled by default. To restore the previous behavior, set `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` to `false`.
+- Since Spark 3.5, the `array_insert` function is 1-based for negative indexes. It inserts new element at the end of input arrays for the index -1. To restore the previous behavior, set `spark.sql.legacy.negativeIndexInArrayInsert` to `true`.
 
 ## Upgrading from Spark SQL 3.3 to 3.4
 
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index ee619099dedcc..c5c84518eb9ce 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -11366,7 +11366,7 @@ def array_insert(arr: "ColumnOrName", pos: Union["ColumnOrName", int], value: An
     ...     ['data', 'pos', 'val']
     ... )
     >>> df.select(array_insert(df.data, df.pos.cast('integer'), df.val).alias('data')).collect()
-    [Row(data=['a', 'd', 'b', 'c']), Row(data=['c', 'd', 'b', 'a'])]
+    [Row(data=['a', 'd', 'b', 'c']), Row(data=['c', 'b', 'd', 'a'])]
     >>> df.select(array_insert(df.data, 5, 'hello').alias('data')).collect()
     [Row(data=['a', 'b', 'c', None, 'hello']), Row(data=['c', 'b', 'a', None, 'hello'])]
     """
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index 316661d29a6ce..fe9c4015c15ec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -1418,7 +1418,7 @@ case class ArrayContains(left: Expression, right: Expression)
 case class ArrayPrepend(left: Expression, right: Expression) extends RuntimeReplaceable
   with ImplicitCastInputTypes with BinaryLike[Expression] with QueryErrorsBase {
 
-  override lazy val replacement: Expression = ArrayInsert(left, Literal(1), right)
+  override lazy val replacement: Expression = new ArrayInsert(left, Literal(1), right)
 
   override def inputTypes: Seq[AbstractDataType] = {
     (left.dataType, right.dataType) match {
@@ -4674,7 +4674,8 @@ case class ArrayExcept(left: Expression, right: Expression) extends ArrayBinaryL
 @ExpressionDescription(
   usage = """
     _FUNC_(x, pos, val) - Places val into index pos of array x.
-      Array indices start at 1, or start from the end if index is negative.
+      Array indices start at 1. The maximum negative index is -1 for which the function inserts
+      new element after the current last element.
       Index above array size appends the array, or prepends the array if index is negative,
       with 'null' elements.
   """,
@@ -4682,15 +4683,25 @@ case class ArrayExcept(left: Expression, right: Expression) extends ArrayBinaryL
     Examples:
       > SELECT _FUNC_(array(1, 2, 3, 4), 5, 5);
        [1,2,3,4,5]
-      > SELECT _FUNC_(array(5, 3, 2, 1), -3, 4);
+      > SELECT _FUNC_(array(5, 4, 3, 2), -1, 1);
+       [5,4,3,2,1]
+      > SELECT _FUNC_(array(5, 3, 2, 1), -4, 4);
        [5,4,3,2,1]
   """,
   group = "array_funcs",
   since = "3.4.0")
-case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr: Expression)
+case class ArrayInsert(
+    srcArrayExpr: Expression,
+    posExpr: Expression,
+    itemExpr: Expression,
+    legacyNegativeIndex: Boolean)
   extends TernaryExpression with ImplicitCastInputTypes with ComplexTypeMergingExpression
     with QueryErrorsBase with SupportQueryContext {
 
+  def this(srcArrayExpr: Expression, posExpr: Expression, itemExpr: Expression) = {
+    this(srcArrayExpr, posExpr, itemExpr, SQLConf.get.legacyNegativeIndexInArrayInsert)
+  }
+
   override def inputTypes: Seq[AbstractDataType] = {
     (srcArrayExpr.dataType, posExpr.dataType, itemExpr.dataType) match {
       case (ArrayType(e1, hasNull), e2: IntegralType, e3) if (e2 != LongType) =>
@@ -4784,11 +4795,12 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
       val newPosExtendsArrayLeft = (posInt < 0) && (-posInt > baseArr.numElements())
 
       if (newPosExtendsArrayLeft) {
+        val baseOffset = if (legacyNegativeIndex) 1 else 0
         // special case- if the new position is negative but larger than the current array size
         // place the new item at start of array, place the current array contents at the end
         // and fill the newly created array elements inbetween with a null
 
-        val newArrayLength = -posInt + 1
+        val newArrayLength = -posInt + baseOffset
 
         if (newArrayLength > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
           throw QueryExecutionErrors.concatArraysWithElementsExceedLimitError(newArrayLength)
@@ -4798,7 +4810,7 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
 
         baseArr.foreach(elementType, (i, v) => {
           // current position, offset by new item + new null array elements
-          val elementPosition = i + 1 + math.abs(posInt + baseArr.numElements())
+          val elementPosition = i + baseOffset + math.abs(posInt + baseArr.numElements())
           newArray(elementPosition) = v
         })
 
@@ -4807,7 +4819,7 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
         new GenericArrayData(newArray)
       } else {
         if (posInt < 0) {
-          posInt = posInt + baseArr.numElements()
+          posInt = posInt + baseArr.numElements() + (if (legacyNegativeIndex) 0 else 1)
         } else if (posInt > 0) {
           posInt = posInt - 1
         }
@@ -4883,6 +4895,7 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
            |""".stripMargin
       } else {
         val pos = posExpr.value
+        val baseOffset = if (legacyNegativeIndex) 1 else 0
         s"""
            |int $itemInsertionIndex = 0;
            |int $resLength = 0;
@@ -4895,21 +4908,21 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
            |
            |if ($pos < 0 && (java.lang.Math.abs($pos) > $arr.numElements())) {
            |
-           |  $resLength = java.lang.Math.abs($pos) + 1;
+           |  $resLength = java.lang.Math.abs($pos) + $baseOffset;
            |  if ($resLength > ${ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH}) {
            |    throw QueryExecutionErrors.createArrayWithElementsExceedLimitError($resLength);
            |  }
            |
            |  $allocation
            |  for (int $i = 0; $i < $arr.numElements(); $i ++) {
-           |    $adjustedAllocIdx = $i + 1 + java.lang.Math.abs($pos + $arr.numElements());
+           |    $adjustedAllocIdx = $i + $baseOffset + java.lang.Math.abs($pos + $arr.numElements());
            |    $assignment
            |  }
            |  ${CodeGenerator.setArrayElement(
              values, elementType, itemInsertionIndex, item, Some(insertedItemIsNull))}
            |
-           |  for (int $j = $pos + $arr.numElements(); $j < 0; $j ++) {
-           |    $values.setNullAt($j + 1 + java.lang.Math.abs($pos + $arr.numElements()));
+           |  for (int $j = ${if (legacyNegativeIndex) 0 else 1} + $pos + $arr.numElements(); $j < 0; $j ++) {
+           |    $values.setNullAt($j + $baseOffset + java.lang.Math.abs($pos + $arr.numElements()));
            |  }
            |
            |  ${ev.value} = $values;
@@ -4917,7 +4930,7 @@ case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression, itemExpr:
            |
            |  $itemInsertionIndex = 0;
            |  if ($pos < 0) {
-           |    $itemInsertionIndex = $pos + $arr.numElements();
+           |    $itemInsertionIndex = $pos + $arr.numElements() + ${if (legacyNegativeIndex) 0 else 1};
            |  } else if ($pos > 0) {
            |    $itemInsertionIndex = $pos - 1;
            |  }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 9a2ba2d3aa74d..4dc8a38a1960b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4331,6 +4331,18 @@ object SQLConf {
     .booleanConf
     .createWithDefault(false)
 
+  val LEGACY_NEGATIVE_INDEX_IN_ARRAY_INSERT =
+    buildConf("spark.sql.legacy.negativeIndexInArrayInsert")
+      .internal()
+      .doc("When set to true, restores the legacy behavior of `array_insert` for " +
+        "negative indexes - 0-based: the function inserts new element before the last one " +
+        "for the index -1. For example, `array_insert(['a', 'b'], -1, 'x')` returns " +
+        "`['a', 'x', 'b']`. When set to false, the -1 index points out to the last element, " +
+        "and the given example produces `['a', 'b', 'x']`.")
+      .version("3.5.0")
+      .booleanConf
+      .createWithDefault(false)
+
   /**
    * Holds information about keys that have been deprecated.
    *
@@ -5180,6 +5192,10 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
 
   def usePartitionEvaluator: Boolean = getConf(SQLConf.USE_PARTITION_EVALUATOR)
 
+  def legacyNegativeIndexInArrayInsert: Boolean = {
+    getConf(SQLConf.LEGACY_NEGATIVE_INDEX_IN_ARRAY_INSERT)
+  }
+
   /** ********************** SQLConf functionality methods ************ */
 
   /** Set Spark SQL configuration properties. */
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
index 485579230c0be..1787f6ac72dd4 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
@@ -2279,61 +2279,63 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
     val a11 = Literal.create(null, ArrayType(StringType))
 
     // basic additions per type
-    checkEvaluation(ArrayInsert(a1, Literal(3), Literal(3)), Seq(1, 2, 3, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(3), Literal(3)), Seq(1, 2, 3, 4))
     checkEvaluation(
-      ArrayInsert(a3, Literal.create(3, IntegerType), Literal(true)),
+      new ArrayInsert(a3, Literal.create(3, IntegerType), Literal(true)),
       Seq[Boolean](true, false, true, true)
     )
     checkEvaluation(
-      ArrayInsert(
+      new ArrayInsert(
         a4,
         Literal(3),
         Literal.create(5.asInstanceOf[Byte], ByteType)),
       Seq[Byte](1, 2, 5, 3, 2))
 
     checkEvaluation(
-      ArrayInsert(
+      new ArrayInsert(
         a5,
         Literal(3),
         Literal.create(3.asInstanceOf[Short], ShortType)),
       Seq[Short](1, 2, 3, 3, 2))
 
     checkEvaluation(
-      ArrayInsert(a7, Literal(4), Literal(4.4)),
+      new ArrayInsert(a7, Literal(4), Literal(4.4)),
       Seq[Double](1.1, 2.2, 3.3, 4.4, 2.2)
     )
 
     checkEvaluation(
-      ArrayInsert(a6, Literal(4), Literal(4.4F)),
+      new ArrayInsert(a6, Literal(4), Literal(4.4F)),
       Seq(1.1F, 2.2F, 3.3F, 4.4F, 2.2F)
     )
-    checkEvaluation(ArrayInsert(a8, Literal(3), Literal(3L)), Seq(1L, 2L, 3L, 4L))
-    checkEvaluation(ArrayInsert(a9, Literal(3), Literal("d")), Seq("b", "a", "d", "c"))
+    checkEvaluation(new ArrayInsert(a8, Literal(3), Literal(3L)), Seq(1L, 2L, 3L, 4L))
+    checkEvaluation(new ArrayInsert(a9, Literal(3), Literal("d")), Seq("b", "a", "d", "c"))
 
     // index edge cases
-    checkEvaluation(ArrayInsert(a1, Literal(2), Literal(3)), Seq(1, 3, 2, 4))
-    checkEvaluation(ArrayInsert(a1, Literal(1), Literal(3)), Seq(3, 1, 2, 4))
-    checkEvaluation(ArrayInsert(a1, Literal(4), Literal(3)), Seq(1, 2, 4, 3))
-    checkEvaluation(ArrayInsert(a1, Literal(-2), Literal(3)), Seq(1, 3, 2, 4))
-    checkEvaluation(ArrayInsert(a1, Literal(-3), Literal(3)), Seq(3, 1, 2, 4))
-    checkEvaluation(ArrayInsert(a1, Literal(-4), Literal(3)), Seq(3, null, 1, 2, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(2), Literal(3)), Seq(1, 3, 2, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(1), Literal(3)), Seq(3, 1, 2, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(4), Literal(3)), Seq(1, 2, 4, 3))
+    checkEvaluation(new ArrayInsert(a1, Literal(-2), Literal(3)), Seq(1, 2, 3, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(-3), Literal(3)), Seq(1, 3, 2, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(-4), Literal(3)), Seq(3, 1, 2, 4))
+    checkEvaluation(new ArrayInsert(a1, Literal(-5), Literal(3)), Seq(3, null, 1, 2, 4))
     checkEvaluation(
-      ArrayInsert(a1, Literal(10), Literal(3)),
+      new ArrayInsert(a1, Literal(10), Literal(3)),
       Seq(1, 2, 4, null, null, null, null, null, null, 3)
     )
     checkEvaluation(
-      ArrayInsert(a1, Literal(-10), Literal(3)),
-      Seq(3, null, null, null, null, null, null, null, 1, 2, 4)
+      new ArrayInsert(a1, Literal(-10), Literal(3)),
+      Seq(3, null, null, null, null, null, null, 1, 2, 4)
     )
 
     // null handling
-    checkEvaluation(ArrayInsert(
+    checkEvaluation(new ArrayInsert(
       a1, Literal(3), Literal.create(null, IntegerType)), Seq(1, 2, null, 4)
     )
-    checkEvaluation(ArrayInsert(a2, Literal(3), Literal(3)), Seq(1, 2, 3, null, 4, 5, null))
-    checkEvaluation(ArrayInsert(a10, Literal(3), Literal("d")), Seq("b", null, "d", "a", "g", null))
-    checkEvaluation(ArrayInsert(a11, Literal(3), Literal("d")), null)
-    checkEvaluation(ArrayInsert(a10, Literal.create(null, IntegerType), Literal("d")), null)
+    checkEvaluation(new ArrayInsert(a2, Literal(3), Literal(3)), Seq(1, 2, 3, null, 4, 5, null))
+    checkEvaluation(new ArrayInsert(a10, Literal(3), Literal("d")),
+      Seq("b", null, "d", "a", "g", null))
+    checkEvaluation(new ArrayInsert(a11, Literal(3), Literal("d")), null)
+    checkEvaluation(new ArrayInsert(a10, Literal.create(null, IntegerType), Literal("d")), null)
   }
 
   test("Array Intersect") {
@@ -2754,14 +2756,14 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
 
   test("SPARK-42401: Array insert of null value (explicit)") {
     val a = Literal.create(Seq("b", "a", "c"), ArrayType(StringType, false))
-    checkEvaluation(ArrayInsert(
+    checkEvaluation(new ArrayInsert(
       a, Literal(2), Literal.create(null, StringType)), Seq("b", null, "a", "c")
     )
   }
 
   test("SPARK-42401: Array insert of null value (implicit)") {
     val a = Literal.create(Seq("b", "a", "c"), ArrayType(StringType, false))
-    checkEvaluation(ArrayInsert(
+    checkEvaluation(new ArrayInsert(
       a, Literal(5), Literal.create("q", StringType)), Seq("b", "a", "c", null, "q")
     )
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index e7e8b945d9186..0aaebd44a9e08 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -6159,7 +6159,7 @@ object functions {
    * @since 3.4.0
    */
   def array_insert(arr: Column, pos: Column, value: Column): Column = withExpr {
-    ArrayInsert(arr.expr, pos.expr, value.expr)
+    new ArrayInsert(arr.expr, pos.expr, value.expr)
   }
 
   /**
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index 12ad7ce436b85..cd101c7a524a1 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -447,28 +447,28 @@ Project [get(array(1, 2, 3), -1) AS get(array(1, 2, 3), -1)#x]
 -- !query
 select array_insert(array(1, 2, 3), 3, 4)
 -- !query analysis
-Project [array_insert(array(1, 2, 3), 3, 4) AS array_insert(array(1, 2, 3), 3, 4)#x]
+Project [array_insert(array(1, 2, 3), 3, 4, false) AS array_insert(array(1, 2, 3), 3, 4)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, 4), 0, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, 4), 0, 1) AS array_insert(array(2, 3, 4), 0, 1)#x]
+Project [array_insert(array(2, 3, 4), 0, 1, false) AS array_insert(array(2, 3, 4), 0, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, 4), 1, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, 4), 1, 1) AS array_insert(array(2, 3, 4), 1, 1)#x]
+Project [array_insert(array(2, 3, 4), 1, 1, false) AS array_insert(array(2, 3, 4), 1, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 3, 4), -2, 2)
 -- !query analysis
-Project [array_insert(array(1, 3, 4), -2, 2) AS array_insert(array(1, 3, 4), -2, 2)#x]
+Project [array_insert(array(1, 3, 4), -2, 2, false) AS array_insert(array(1, 3, 4), -2, 2)#x]
 +- OneRowRelation
 
 
@@ -499,38 +499,64 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
 -- !query
 select array_insert(cast(NULL as ARRAY<INT>), 1, 1)
 -- !query analysis
-Project [array_insert(cast(null as array<int>), 1, 1) AS array_insert(NULL, 1, 1)#x]
+Project [array_insert(cast(null as array<int>), 1, 1, false) AS array_insert(NULL, 1, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 2, 3, NULL), cast(NULL as INT), 4)
 -- !query analysis
-Project [array_insert(array(1, 2, 3, cast(null as int)), cast(null as int), 4) AS array_insert(array(1, 2, 3, NULL), CAST(NULL AS INT), 4)#x]
+Project [array_insert(array(1, 2, 3, cast(null as int)), cast(null as int), 4, false) AS array_insert(array(1, 2, 3, NULL), CAST(NULL AS INT), 4)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 2, 3, NULL), 4, cast(NULL as INT))
 -- !query analysis
-Project [array_insert(array(1, 2, 3, cast(null as int)), 4, cast(null as int)) AS array_insert(array(1, 2, 3, NULL), 4, CAST(NULL AS INT))#x]
+Project [array_insert(array(1, 2, 3, cast(null as int)), 4, cast(null as int), false) AS array_insert(array(1, 2, 3, NULL), 4, CAST(NULL AS INT))#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, NULL, 4), 5, 5)
 -- !query analysis
-Project [array_insert(array(2, 3, cast(null as int), 4), 5, 5) AS array_insert(array(2, 3, NULL, 4), 5, 5)#x]
+Project [array_insert(array(2, 3, cast(null as int), 4), 5, 5, false) AS array_insert(array(2, 3, NULL, 4), 5, 5)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, NULL, 4), -5, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
+Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, false) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=true
+-- !query analysis
+SetCommand (spark.sql.legacy.negativeIndexInArrayInsert,Some(true))
+
+
+-- !query
+select array_insert(array(1, 3, 4), -2, 2)
+-- !query analysis
+Project [array_insert(array(1, 3, 4), -2, 2, true) AS array_insert(array(1, 3, 4), -2, 2)#x]
++- OneRowRelation
+
+
+-- !query
+select array_insert(array(2, 3, NULL, 4), -5, 1)
+-- !query analysis
+Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, true) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
++- OneRowRelation
+
+
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=false
+-- !query analysis
+SetCommand (spark.sql.legacy.negativeIndexInArrayInsert,Some(false))
+
+
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index af06b9959ee59..8279fb3362e54 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -447,28 +447,28 @@ Project [get(array(1, 2, 3), -1) AS get(array(1, 2, 3), -1)#x]
 -- !query
 select array_insert(array(1, 2, 3), 3, 4)
 -- !query analysis
-Project [array_insert(array(1, 2, 3), 3, 4) AS array_insert(array(1, 2, 3), 3, 4)#x]
+Project [array_insert(array(1, 2, 3), 3, 4, false) AS array_insert(array(1, 2, 3), 3, 4)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, 4), 0, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, 4), 0, 1) AS array_insert(array(2, 3, 4), 0, 1)#x]
+Project [array_insert(array(2, 3, 4), 0, 1, false) AS array_insert(array(2, 3, 4), 0, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, 4), 1, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, 4), 1, 1) AS array_insert(array(2, 3, 4), 1, 1)#x]
+Project [array_insert(array(2, 3, 4), 1, 1, false) AS array_insert(array(2, 3, 4), 1, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 3, 4), -2, 2)
 -- !query analysis
-Project [array_insert(array(1, 3, 4), -2, 2) AS array_insert(array(1, 3, 4), -2, 2)#x]
+Project [array_insert(array(1, 3, 4), -2, 2, false) AS array_insert(array(1, 3, 4), -2, 2)#x]
 +- OneRowRelation
 
 
@@ -499,38 +499,64 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
 -- !query
 select array_insert(cast(NULL as ARRAY<INT>), 1, 1)
 -- !query analysis
-Project [array_insert(cast(null as array<int>), 1, 1) AS array_insert(NULL, 1, 1)#x]
+Project [array_insert(cast(null as array<int>), 1, 1, false) AS array_insert(NULL, 1, 1)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 2, 3, NULL), cast(NULL as INT), 4)
 -- !query analysis
-Project [array_insert(array(1, 2, 3, cast(null as int)), cast(null as int), 4) AS array_insert(array(1, 2, 3, NULL), CAST(NULL AS INT), 4)#x]
+Project [array_insert(array(1, 2, 3, cast(null as int)), cast(null as int), 4, false) AS array_insert(array(1, 2, 3, NULL), CAST(NULL AS INT), 4)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(1, 2, 3, NULL), 4, cast(NULL as INT))
 -- !query analysis
-Project [array_insert(array(1, 2, 3, cast(null as int)), 4, cast(null as int)) AS array_insert(array(1, 2, 3, NULL), 4, CAST(NULL AS INT))#x]
+Project [array_insert(array(1, 2, 3, cast(null as int)), 4, cast(null as int), false) AS array_insert(array(1, 2, 3, NULL), 4, CAST(NULL AS INT))#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, NULL, 4), 5, 5)
 -- !query analysis
-Project [array_insert(array(2, 3, cast(null as int), 4), 5, 5) AS array_insert(array(2, 3, NULL, 4), 5, 5)#x]
+Project [array_insert(array(2, 3, cast(null as int), 4), 5, 5, false) AS array_insert(array(2, 3, NULL, 4), 5, 5)#x]
 +- OneRowRelation
 
 
 -- !query
 select array_insert(array(2, 3, NULL, 4), -5, 1)
 -- !query analysis
-Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
+Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, false) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=true
+-- !query analysis
+SetCommand (spark.sql.legacy.negativeIndexInArrayInsert,Some(true))
+
+
+-- !query
+select array_insert(array(1, 3, 4), -2, 2)
+-- !query analysis
+Project [array_insert(array(1, 3, 4), -2, 2, true) AS array_insert(array(1, 3, 4), -2, 2)#x]
++- OneRowRelation
+
+
+-- !query
+select array_insert(array(2, 3, NULL, 4), -5, 1)
+-- !query analysis
+Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, true) AS array_insert(array(2, 3, NULL, 4), -5, 1)#x]
++- OneRowRelation
+
+
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=false
+-- !query analysis
+SetCommand (spark.sql.legacy.negativeIndexInArrayInsert,Some(false))
+
+
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/array.sql b/sql/core/src/test/resources/sql-tests/inputs/array.sql
index d3c36b79d1f3a..48edc6b474254 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/array.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/array.sql
@@ -142,6 +142,11 @@ select array_insert(array(1, 2, 3, NULL), 4, cast(NULL as INT));
 select array_insert(array(2, 3, NULL, 4), 5, 5);
 select array_insert(array(2, 3, NULL, 4), -5, 1);
 
+set spark.sql.legacy.negativeIndexInArrayInsert=true;
+select array_insert(array(1, 3, 4), -2, 2);
+select array_insert(array(2, 3, NULL, 4), -5, 1);
+set spark.sql.legacy.negativeIndexInArrayInsert=false;
+
 -- function array_compact
 select array_compact(id) from values (1) as t(id);
 select array_compact(array("1", null, "2", null));
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 62a74435d9bf4..03be0f9d84b1b 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -590,7 +590,7 @@ select array_insert(array(1, 3, 4), -2, 2)
 -- !query schema
 struct<array_insert(array(1, 3, 4), -2, 2):array<int>>
 -- !query output
-[1,2,3,4]
+[1,3,2,4]
 
 
 -- !query
@@ -651,6 +651,30 @@ struct<array_insert(array(2, 3, NULL, 4), 5, 5):array<int>>
 [2,3,null,4,5]
 
 
+-- !query
+select array_insert(array(2, 3, NULL, 4), -5, 1)
+-- !query schema
+struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
+-- !query output
+[1,2,3,null,4]
+
+
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=true
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.negativeIndexInArrayInsert	true
+
+
+-- !query
+select array_insert(array(1, 3, 4), -2, 2)
+-- !query schema
+struct<array_insert(array(1, 3, 4), -2, 2):array<int>>
+-- !query output
+[1,2,3,4]
+
+
 -- !query
 select array_insert(array(2, 3, NULL, 4), -5, 1)
 -- !query schema
@@ -659,6 +683,14 @@ struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
 [1,null,2,3,null,4]
 
 
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=false
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.negativeIndexInArrayInsert	false
+
+
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index 6c87afccea20d..9dbf4fbebc20b 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -471,7 +471,7 @@ select array_insert(array(1, 3, 4), -2, 2)
 -- !query schema
 struct<array_insert(array(1, 3, 4), -2, 2):array<int>>
 -- !query output
-[1,2,3,4]
+[1,3,2,4]
 
 
 -- !query
@@ -532,6 +532,30 @@ struct<array_insert(array(2, 3, NULL, 4), 5, 5):array<int>>
 [2,3,null,4,5]
 
 
+-- !query
+select array_insert(array(2, 3, NULL, 4), -5, 1)
+-- !query schema
+struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
+-- !query output
+[1,2,3,null,4]
+
+
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=true
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.negativeIndexInArrayInsert	true
+
+
+-- !query
+select array_insert(array(1, 3, 4), -2, 2)
+-- !query schema
+struct<array_insert(array(1, 3, 4), -2, 2):array<int>>
+-- !query output
+[1,2,3,4]
+
+
 -- !query
 select array_insert(array(2, 3, NULL, 4), -5, 1)
 -- !query schema
@@ -540,6 +564,14 @@ struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
 [1,null,2,3,null,4]
 
 
+-- !query
+set spark.sql.legacy.negativeIndexInArrayInsert=false
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.negativeIndexInArrayInsert	false
+
+
 -- !query
 select array_compact(id) from values (1) as t(id)
 -- !query schema
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
index c7dcb575ff050..71ad4a25578eb 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
@@ -3399,7 +3399,11 @@ class DataFrameFunctionsSuite extends QueryTest with SharedSparkSession {
       Seq(Row(null))
     )
     checkAnswer(df1.selectExpr("array_insert(a, 7, c)"), Seq(Row(Seq(3, 2, 5, 1, 2, null, 3))))
-    checkAnswer(df1.selectExpr("array_insert(a, -6, c)"), Seq(Row(Seq(3, null, 3, 2, 5, 1, 2))))
+    checkAnswer(df1.selectExpr("array_insert(a, -6, c)"), Seq(Row(Seq(3, 3, 2, 5, 1, 2))))
+
+    withSQLConf(SQLConf.LEGACY_NEGATIVE_INDEX_IN_ARRAY_INSERT.key -> "true") {
+      checkAnswer(df1.selectExpr("array_insert(a, -6, c)"), Seq(Row(Seq(3, null, 3, 2, 5, 1, 2))))
+    }
   }
 
   test("transform function - array for primitive type not containing null") {

From 5ffefd0723d12f94ecfda25e08a6d882ac75ba81 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 23 Aug 2023 13:41:25 +0800
Subject: [PATCH 292/986] [SPARK-44922][TESTS] Disable
 o.a.p.h.InternalParquetRecordWriter logs for tests

### What changes were proposed in this pull request?

This PR disable InternalParquetRecordWriter logs for SQL tests

### Why are the changes needed?

The InternalParquetRecordWriter creates over 1,800 records, which equates to more than 80,000 lines of code. This accounts for 80% of the volume of the "slow tests" before the GitHub action truncates it.

#### A record for example
```
2023-08-22T13:38:14.5103112Z 13:38:14.406 WARN org.apache.parquet.hadoop.InternalParquetRecordWriter: Too much memory used: Store {
2023-08-22T13:38:14.5103259Z  [dummy_col] optional int32 dummy_col {
2023-08-22T13:38:14.5103352Z   r:0 bytes
2023-08-22T13:38:14.5103444Z   d:0 bytes
2023-08-22T13:38:14.5103580Z    data: FallbackValuesWriter{
2023-08-22T13:38:14.5103739Z    data: initial: DictionaryValuesWriter{
2023-08-22T13:38:14.5103854Z    data: initial: dict:8
2023-08-22T13:38:14.5103976Z    data: initial: values:400
2023-08-22T13:38:14.5104079Z    data: initial:}
2023-08-22T13:38:14.5104087Z
2023-08-22T13:38:14.5104325Z    data: fallback: PLAIN CapacityByteArrayOutputStream 0 slabs, 0 bytes
2023-08-22T13:38:14.5104418Z    data:}
2023-08-22T13:38:14.5104426Z
2023-08-22T13:38:14.5104695Z    pages: ColumnChunkPageWriter ConcatenatingByteArrayCollector 0 slabs, 0 bytes
2023-08-22T13:38:14.5104795Z    total: 400/408
2023-08-22T13:38:14.5104936Z  }
2023-08-22T13:38:14.5105129Z  [expected_rowIdx_col] optional int32 expected_rowIdx_col {
2023-08-22T13:38:14.5105291Z   r:0 bytes
2023-08-22T13:38:14.5105383Z   d:0 bytes
2023-08-22T13:38:14.5105518Z    data: FallbackValuesWriter{
2023-08-22T13:38:14.5105679Z    data: initial: DictionaryValuesWriter{
2023-08-22T13:38:14.5105797Z    data: initial: dict:400
2023-08-22T13:38:14.5105919Z    data: initial: values:400
2023-08-22T13:38:14.5106022Z    data: initial:}
2023-08-22T13:38:14.5106030Z
2023-08-22T13:38:14.5106267Z    data: fallback: PLAIN CapacityByteArrayOutputStream 0 slabs, 0 bytes
2023-08-22T13:38:14.5106356Z    data:}
2023-08-22T13:38:14.5106364Z
2023-08-22T13:38:14.5106636Z    pages: ColumnChunkPageWriter ConcatenatingByteArrayCollector 0 slabs, 0 bytes
2023-08-22T13:38:14.5106736Z    total: 400/800
2023-08-22T13:38:14.5106820Z  }
2023-08-22T13:38:14.5106942Z  [id] required int64 id {
2023-08-22T13:38:14.5107037Z   r:0 bytes
2023-08-22T13:38:14.5107133Z   d:0 bytes
2023-08-22T13:38:14.5107275Z    data: FallbackValuesWriter{
2023-08-22T13:38:14.5107436Z    data: initial: DictionaryValuesWriter{
2023-08-22T13:38:14.5107557Z    data: initial: dict:800
2023-08-22T13:38:14.5107677Z    data: initial: values:400
2023-08-22T13:38:14.5107779Z    data: initial:}
2023-08-22T13:38:14.5107787Z
2023-08-22T13:38:14.5108022Z    data: fallback: PLAIN CapacityByteArrayOutputStream 0 slabs, 0 bytes
2023-08-22T13:38:14.5108113Z    data:}
2023-08-22T13:38:14.5108121Z
2023-08-22T13:38:14.5108384Z    pages: ColumnChunkPageWriter ConcatenatingByteArrayCollector 0 slabs, 0 bytes
2023-08-22T13:38:14.5108485Z    total: 800/1,200
2023-08-22T13:38:14.5108570Z  }
2023-08-22T13:38:14.5108655Z }
2023-08-22T13:38:14.5108664Z
```
### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

see log volume of SQL tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42614 from yaooqinn/log.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 34b51cc784478f65c4c9a6cf3fdc0ed4ca31f745)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../connect/server/src/test/resources/log4j2.properties      | 5 +++++
 sql/core/src/test/resources/log4j2.properties                | 5 +++++
 sql/hive-thriftserver/src/test/resources/log4j2.properties   | 5 +++++
 sql/hive/src/test/resources/log4j2.properties                | 5 +++++
 4 files changed, 20 insertions(+)

diff --git a/connector/connect/server/src/test/resources/log4j2.properties b/connector/connect/server/src/test/resources/log4j2.properties
index ab02104c69697..ac4c1de0e9106 100644
--- a/connector/connect/server/src/test/resources/log4j2.properties
+++ b/connector/connect/server/src/test/resources/log4j2.properties
@@ -37,3 +37,8 @@ appender.console.layout.pattern = %t: %m%n%ex
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.sparkproject.jetty
 logger.jetty.level = warn
+
+# SPARK-44922: Disable o.a.p.h.InternalParquetRecordWriter logs for tests
+logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetRecordWriter
+logger.parquet_recordwriter.additivity = false
+logger.parquet_recordwriter.level = off
diff --git a/sql/core/src/test/resources/log4j2.properties b/sql/core/src/test/resources/log4j2.properties
index b1f3a726a92a4..49df23c4fc7fe 100644
--- a/sql/core/src/test/resources/log4j2.properties
+++ b/sql/core/src/test/resources/log4j2.properties
@@ -45,6 +45,11 @@ logger.parquet_recordreader.name = org.apache.parquet.hadoop.ParquetRecordReader
 logger.parquet_recordreader.additivity = false
 logger.parquet_recordreader.level = off
 
+# SPARK-44922: Disable o.a.p.h.InternalParquetRecordWriter logs for tests
+logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetRecordWriter
+logger.parquet_recordwriter.additivity = false
+logger.parquet_recordwriter.level = off
+
 logger.parquet_outputcommitter.name = org.apache.parquet.hadoop.ParquetOutputCommitter
 logger.parquet_outputcommitter.additivity = false
 logger.parquet_outputcommitter.level = off
diff --git a/sql/hive-thriftserver/src/test/resources/log4j2.properties b/sql/hive-thriftserver/src/test/resources/log4j2.properties
index 9141d616c4a9a..cc483f4671ebe 100644
--- a/sql/hive-thriftserver/src/test/resources/log4j2.properties
+++ b/sql/hive-thriftserver/src/test/resources/log4j2.properties
@@ -61,6 +61,11 @@ logger.parquet_recordreader.name = org.apache.parquet.hadoop.ParquetRecordReader
 logger.parquet_recordreader.additivity = false
 logger.parquet_recordreader.level = off
 
+# SPARK-44922: Disable o.a.p.h.InternalParquetRecordWriter logs for tests
+logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetRecordWriter
+logger.parquet_recordwriter.additivity = false
+logger.parquet_recordwriter.level = off
+
 logger.parquet_outputcommitter.name = org.apache.parquet.hadoop.ParquetOutputCommitter
 logger.parquet_outputcommitter.additivity = false
 logger.parquet_outputcommitter.level = off
diff --git a/sql/hive/src/test/resources/log4j2.properties b/sql/hive/src/test/resources/log4j2.properties
index 454b6905b455c..6e2c01c4b146c 100644
--- a/sql/hive/src/test/resources/log4j2.properties
+++ b/sql/hive/src/test/resources/log4j2.properties
@@ -45,6 +45,11 @@ logger.parquet_recordreader.name = org.apache.parquet.hadoop.ParquetRecordReader
 logger.parquet_recordreader.additivity = false
 logger.parquet_recordreader.level = off
 
+# SPARK-44922: Disable o.a.p.h.InternalParquetRecordWriter logs for tests
+logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetRecordWriter
+logger.parquet_recordwriter.additivity = false
+logger.parquet_recordwriter.level = off
+
 logger.parquet_outputcommitter.name = org.apache.parquet.hadoop.ParquetOutputCommitter
 logger.parquet_outputcommitter.additivity = false
 logger.parquet_outputcommitter.level = off

From 786a21884cbd173e7df312ed27164238089e8cfa Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 22 Aug 2023 22:45:52 -0700
Subject: [PATCH 293/986] [SPARK-44925][K8S] K8s default service token file
 should not be materialized into token

### What changes were proposed in this pull request?

This PR aims to stop materializing `OAuth token` from the default service token file, `/var/run/secrets/kubernetes.io/serviceaccount/token`, because the content of volumes varies which means being renewed or expired by K8s control plane. We need to read the content in a on-demand manner to be in the up-to-date status.

Note the followings:

- Since we use `autoConfigure` for K8s client, K8s client still uses the default service tokens if exists and needed.

https://github.com/apache/spark/blob/13588c10cbc380ecba1231223425eaad2eb9ec80/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/SparkKubernetesClientFactory.scala#L91

- This PR doesn't change Spark's behavior for the user-provided token file location. Spark will load the content of the user-provided token file locations to get `OAuth token` because Spark cannot assume that the files of that locations are refreshed or not in the future.

### Why are the changes needed?

[BoundServiceAccountTokenVolume](https://kubernetes.io/docs/reference/access-authn-authz/service-accounts-admin/#bound-service-account-token-volume) became `Stable` at K8s 1.22.

- [KEP-1205 Bound Service Account Tokens](https://github.com/kubernetes/enhancements/blob/master/keps/sig-auth/1205-bound-service-account-tokens/README.md#boundserviceaccounttokenvolume-1) : **BoundServiceAccountTokenVolume**

Alpha | Beta | GA
-- | -- | --
1.13 | 1.21 | 1.22

- [EKS Service Account with 90 Days Expiration](https://docs.aws.amazon.com/eks/latest/userguide/service-accounts.html)
  > For Amazon EKS clusters, the extended expiry period is 90 days. Your Amazon EKS cluster's Kubernetes API server rejects requests with tokens that are greater than 90 days old.

- As of today, [all supported EKS clusters are from 1.23 to 1.27](https://docs.aws.amazon.com/eks/latest/userguide/kubernetes-versions.html) which means we always use `BoundServiceAccountTokenVolume`.

### Does this PR introduce _any_ user-facing change?

No. This fixes only the bugs caused by some outdated tokens where K8s control plane denies Spark's K8s API invocation.

### How was this patch tested?

Pass the CIs with the all existing unit tests and integration tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42624 from dongjoon-hyun/SPARK-44925.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 7b1a3494107b304a93f571920fc3816cde71f706)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/deploy/k8s/SparkKubernetesClientFactory.scala     | 2 --
 .../org/apache/spark/deploy/k8s/submit/K8sSubmitOps.scala   | 1 -
 .../deploy/k8s/submit/KubernetesClientApplication.scala     | 1 -
 .../scheduler/cluster/k8s/KubernetesClusterManager.scala    | 6 ------
 4 files changed, 10 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/SparkKubernetesClientFactory.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/SparkKubernetesClientFactory.scala
index 0b806f046402e..bc0e7934024b2 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/SparkKubernetesClientFactory.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/SparkKubernetesClientFactory.scala
@@ -48,13 +48,11 @@ private[spark] object SparkKubernetesClientFactory extends Logging {
       kubernetesAuthConfPrefix: String,
       clientType: ClientType.Value,
       sparkConf: SparkConf,
-      defaultServiceAccountToken: Option[File],
       defaultServiceAccountCaCert: Option[File]): KubernetesClient = {
     val oauthTokenFileConf = s"$kubernetesAuthConfPrefix.$OAUTH_TOKEN_FILE_CONF_SUFFIX"
     val oauthTokenConf = s"$kubernetesAuthConfPrefix.$OAUTH_TOKEN_CONF_SUFFIX"
     val oauthTokenFile = sparkConf.getOption(oauthTokenFileConf)
       .map(new File(_))
-      .orElse(defaultServiceAccountToken)
     val oauthTokenValue = sparkConf.getOption(oauthTokenConf)
     KubernetesUtils.requireNandDefined(
       oauthTokenFile,
diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/K8sSubmitOps.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/K8sSubmitOps.scala
index 2ce6181a2fe9c..9db55c30a39fc 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/K8sSubmitOps.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/K8sSubmitOps.scala
@@ -120,7 +120,6 @@ private[spark] class K8SSparkSubmitOperation extends SparkSubmitOperation
           KUBERNETES_AUTH_SUBMISSION_CONF_PREFIX,
           SparkKubernetesClientFactory.ClientType.Submission,
           sparkConf,
-          None,
           None)
         ) { kubernetesClient =>
           implicit val client: KubernetesClient = kubernetesClient
diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/KubernetesClientApplication.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/KubernetesClientApplication.scala
index 2b2dad1cf13c7..eb6dc9d1dcc4b 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/KubernetesClientApplication.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/KubernetesClientApplication.scala
@@ -247,7 +247,6 @@ private[spark] class KubernetesClientApplication extends SparkApplication {
       KUBERNETES_AUTH_SUBMISSION_CONF_PREFIX,
       SparkKubernetesClientFactory.ClientType.Submission,
       sparkConf,
-      None,
       None)) { kubernetesClient =>
         val client = new Client(
           kubernetesConf,
diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesClusterManager.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesClusterManager.scala
index fb0783239c639..ec5cce239ef98 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesClusterManager.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesClusterManager.scala
@@ -70,23 +70,18 @@ private[spark] class KubernetesClusterManager extends ExternalClusterManager wit
     val wasSparkSubmittedInClusterMode = sc.conf.get(KUBERNETES_DRIVER_SUBMIT_CHECK)
     val (authConfPrefix,
       apiServerUri,
-      defaultServiceAccountToken,
       defaultServiceAccountCaCrt) = if (wasSparkSubmittedInClusterMode) {
       require(sc.conf.get(KUBERNETES_DRIVER_POD_NAME).isDefined,
         "If the application is deployed using spark-submit in cluster mode, the driver pod name " +
           "must be provided.")
-      val serviceAccountToken =
-        Some(new File(Config.KUBERNETES_SERVICE_ACCOUNT_TOKEN_PATH)).filter(_.exists)
       val serviceAccountCaCrt =
         Some(new File(Config.KUBERNETES_SERVICE_ACCOUNT_CA_CRT_PATH)).filter(_.exists)
       (KUBERNETES_AUTH_DRIVER_MOUNTED_CONF_PREFIX,
         sc.conf.get(KUBERNETES_DRIVER_MASTER_URL),
-        serviceAccountToken,
         serviceAccountCaCrt)
     } else {
       (KUBERNETES_AUTH_CLIENT_MODE_PREFIX,
         KubernetesUtils.parseMasterUrl(masterURL),
-        None,
         None)
     }
 
@@ -107,7 +102,6 @@ private[spark] class KubernetesClusterManager extends ExternalClusterManager wit
       authConfPrefix,
       SparkKubernetesClientFactory.ClientType.Driver,
       sc.conf,
-      defaultServiceAccountToken,
       defaultServiceAccountCaCrt)
 
     if (sc.conf.get(KUBERNETES_EXECUTOR_PODTEMPLATE_FILE).isDefined) {

From 2b935a941e15e4bf11ef6831df55ec625514e869 Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Wed, 23 Aug 2023 13:54:21 +0800
Subject: [PATCH 294/986] [SPARK-44920][CORE] Use await() instead of
 awaitUninterruptibly() in TransportClientFactory.createClient()

### What changes were proposed in this pull request?

https://github.com/apache/spark/pull/41785 / SPARK-44241 introduced a new `awaitUninterruptibly()` call in one branch of `TrasportClientFactory.createClient()` (executed when the connection create timeout is non-positive). This PR replaces that call with an interruptible `await()` call.

Note that the other pre-existing branches in this method were already using `await()`.

### Why are the changes needed?

Uninterruptible waiting can cause problems when cancelling tasks. For details, see https://github.com/apache/spark/pull/16866 / SPARK-19529, an older PR fixing a similar issue in this same `TransportClientFactory.createClient()` method.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42619 from JoshRosen/remove-awaitUninterruptibly.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 2137606a6686b33bed57800c6b166059b134a089)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/network/client/TransportClientFactory.java | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java b/common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
index 3df72e65c2ab0..4c1efd69206c5 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
@@ -279,7 +279,7 @@ public void initChannel(SocketChannel ch) {
     ChannelFuture cf = bootstrap.connect(address);
 
     if (connCreateTimeout <= 0) {
-      cf.awaitUninterruptibly();
+      cf.await();
       assert cf.isDone();
       if (cf.isCancelled()) {
         throw new IOException(String.format("Connecting to %s cancelled", address));

From aea9421ef4768a736ac47e6a7178dd73fb8f6a6e Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Wed, 23 Aug 2023 13:58:47 +0800
Subject: [PATCH 295/986] [SPARK-44921][SQL] Remove SqlBaseLexer.tokens from
 codebase

### What changes were proposed in this pull request?

https://github.com/apache/spark/commit/8ff6b7a04cbaef9c552789ad5550ceab760cb078#diff-f4df4ce19570230091c3b2432e3c84cd2db7059c7b2a03213d272094bd940454 refactors antlr4 files to `sql/api` but checked in `SqlBaseLexer.tokens`.

This file is generated so we do not need to check it in.

### Why are the changes needed?

Remove file that do not need to be checked in.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing Test.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42620 from amaliujia/remove_checked_in_token_file.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 3d83978fc4d2d11b7477c5b0e3a164a37ca23d01)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/catalyst/parser/SqlBaseLexer.tokens   | 665 ------------------
 1 file changed, 665 deletions(-)
 delete mode 100644 sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens

diff --git a/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
deleted file mode 100644
index 459749d8ffe6f..0000000000000
--- a/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseLexer.tokens
+++ /dev/null
@@ -1,665 +0,0 @@
-SEMICOLON=1
-LEFT_PAREN=2
-RIGHT_PAREN=3
-COMMA=4
-DOT=5
-LEFT_BRACKET=6
-RIGHT_BRACKET=7
-ADD=8
-AFTER=9
-ALL=10
-ALTER=11
-ANALYZE=12
-AND=13
-ANTI=14
-ANY=15
-ANY_VALUE=16
-ARCHIVE=17
-ARRAY=18
-AS=19
-ASC=20
-AT=21
-AUTHORIZATION=22
-BETWEEN=23
-BOTH=24
-BUCKET=25
-BUCKETS=26
-BY=27
-CACHE=28
-CASCADE=29
-CASE=30
-CAST=31
-CATALOG=32
-CATALOGS=33
-CHANGE=34
-CHECK=35
-CLEAR=36
-CLUSTER=37
-CLUSTERED=38
-CODEGEN=39
-COLLATE=40
-COLLECTION=41
-COLUMN=42
-COLUMNS=43
-COMMENT=44
-COMMIT=45
-COMPACT=46
-COMPACTIONS=47
-COMPUTE=48
-CONCATENATE=49
-CONSTRAINT=50
-COST=51
-CREATE=52
-CROSS=53
-CUBE=54
-CURRENT=55
-CURRENT_DATE=56
-CURRENT_TIME=57
-CURRENT_TIMESTAMP=58
-CURRENT_USER=59
-DAY=60
-DAYS=61
-DAYOFYEAR=62
-DATA=63
-DATABASE=64
-DATABASES=65
-DATEADD=66
-DATEDIFF=67
-DBPROPERTIES=68
-DEFAULT=69
-DEFINED=70
-DELETE=71
-DELIMITED=72
-DESC=73
-DESCRIBE=74
-DFS=75
-DIRECTORIES=76
-DIRECTORY=77
-DISTINCT=78
-DISTRIBUTE=79
-DIV=80
-DROP=81
-ELSE=82
-END=83
-ESCAPE=84
-ESCAPED=85
-EXCEPT=86
-EXCHANGE=87
-EXCLUDE=88
-EXISTS=89
-EXPLAIN=90
-EXPORT=91
-EXTENDED=92
-EXTERNAL=93
-EXTRACT=94
-FALSE=95
-FETCH=96
-FIELDS=97
-FILTER=98
-FILEFORMAT=99
-FIRST=100
-FOLLOWING=101
-FOR=102
-FOREIGN=103
-FORMAT=104
-FORMATTED=105
-FROM=106
-FULL=107
-FUNCTION=108
-FUNCTIONS=109
-GLOBAL=110
-GRANT=111
-GROUP=112
-GROUPING=113
-HAVING=114
-HOUR=115
-HOURS=116
-IF=117
-IGNORE=118
-IMPORT=119
-IN=120
-INCLUDE=121
-INDEX=122
-INDEXES=123
-INNER=124
-INPATH=125
-INPUTFORMAT=126
-INSERT=127
-INTERSECT=128
-INTERVAL=129
-INTO=130
-IS=131
-ITEMS=132
-JOIN=133
-KEYS=134
-LAST=135
-LATERAL=136
-LAZY=137
-LEADING=138
-LEFT=139
-LIKE=140
-ILIKE=141
-LIMIT=142
-LINES=143
-LIST=144
-LOAD=145
-LOCAL=146
-LOCATION=147
-LOCK=148
-LOCKS=149
-LOGICAL=150
-MACRO=151
-MAP=152
-MATCHED=153
-MERGE=154
-MICROSECOND=155
-MICROSECONDS=156
-MILLISECOND=157
-MILLISECONDS=158
-MINUTE=159
-MINUTES=160
-MONTH=161
-MONTHS=162
-MSCK=163
-NAMESPACE=164
-NAMESPACES=165
-NANOSECOND=166
-NANOSECONDS=167
-NATURAL=168
-NO=169
-NOT=170
-NULL=171
-NULLS=172
-OF=173
-OFFSET=174
-ON=175
-ONLY=176
-OPTION=177
-OPTIONS=178
-OR=179
-ORDER=180
-OUT=181
-OUTER=182
-OUTPUTFORMAT=183
-OVER=184
-OVERLAPS=185
-OVERLAY=186
-OVERWRITE=187
-PARTITION=188
-PARTITIONED=189
-PARTITIONS=190
-PERCENTILE_CONT=191
-PERCENTILE_DISC=192
-PERCENTLIT=193
-PIVOT=194
-PLACING=195
-POSITION=196
-PRECEDING=197
-PRIMARY=198
-PRINCIPALS=199
-PROPERTIES=200
-PURGE=201
-QUARTER=202
-QUERY=203
-RANGE=204
-RECORDREADER=205
-RECORDWRITER=206
-RECOVER=207
-REDUCE=208
-REFERENCES=209
-REFRESH=210
-RENAME=211
-REPAIR=212
-REPEATABLE=213
-REPLACE=214
-RESET=215
-RESPECT=216
-RESTRICT=217
-REVOKE=218
-RIGHT=219
-RLIKE=220
-ROLE=221
-ROLES=222
-ROLLBACK=223
-ROLLUP=224
-ROW=225
-ROWS=226
-SECOND=227
-SECONDS=228
-SCHEMA=229
-SCHEMAS=230
-SELECT=231
-SEMI=232
-SEPARATED=233
-SERDE=234
-SERDEPROPERTIES=235
-SESSION_USER=236
-SET=237
-SETMINUS=238
-SETS=239
-SHOW=240
-SKEWED=241
-SOME=242
-SORT=243
-SORTED=244
-SOURCE=245
-START=246
-STATISTICS=247
-STORED=248
-STRATIFY=249
-STRUCT=250
-SUBSTR=251
-SUBSTRING=252
-SYNC=253
-SYSTEM_TIME=254
-SYSTEM_VERSION=255
-TABLE=256
-TABLES=257
-TABLESAMPLE=258
-TARGET=259
-TBLPROPERTIES=260
-TEMPORARY=261
-TERMINATED=262
-THEN=263
-TIME=264
-TIMESTAMP=265
-TIMESTAMPADD=266
-TIMESTAMPDIFF=267
-TO=268
-TOUCH=269
-TRAILING=270
-TRANSACTION=271
-TRANSACTIONS=272
-TRANSFORM=273
-TRIM=274
-TRUE=275
-TRUNCATE=276
-TRY_CAST=277
-TYPE=278
-UNARCHIVE=279
-UNBOUNDED=280
-UNCACHE=281
-UNION=282
-UNIQUE=283
-UNKNOWN=284
-UNLOCK=285
-UNPIVOT=286
-UNSET=287
-UPDATE=288
-USE=289
-USER=290
-USING=291
-VALUES=292
-VERSION=293
-VIEW=294
-VIEWS=295
-WEEK=296
-WEEKS=297
-WHEN=298
-WHERE=299
-WINDOW=300
-WITH=301
-WITHIN=302
-YEAR=303
-YEARS=304
-ZONE=305
-EQ=306
-NSEQ=307
-NEQ=308
-NEQJ=309
-LT=310
-LTE=311
-GT=312
-GTE=313
-PLUS=314
-MINUS=315
-ASTERISK=316
-SLASH=317
-PERCENT=318
-TILDE=319
-AMPERSAND=320
-PIPE=321
-CONCAT_PIPE=322
-HAT=323
-COLON=324
-ARROW=325
-HENT_START=326
-HENT_END=327
-STRING=328
-DOUBLEQUOTED_STRING=329
-BIGINT_LITERAL=330
-SMALLINT_LITERAL=331
-TINYINT_LITERAL=332
-INTEGER_VALUE=333
-EXPONENT_VALUE=334
-DECIMAL_VALUE=335
-FLOAT_LITERAL=336
-DOUBLE_LITERAL=337
-BIGDECIMAL_LITERAL=338
-IDENTIFIER=339
-BACKQUOTED_IDENTIFIER=340
-SIMPLE_COMMENT=341
-BRACKETED_COMMENT=342
-WS=343
-UNRECOGNIZED=344
-';'=1
-'('=2
-')'=3
-','=4
-'.'=5
-'['=6
-']'=7
-'ADD'=8
-'AFTER'=9
-'ALL'=10
-'ALTER'=11
-'ANALYZE'=12
-'AND'=13
-'ANTI'=14
-'ANY'=15
-'ANY_VALUE'=16
-'ARCHIVE'=17
-'ARRAY'=18
-'AS'=19
-'ASC'=20
-'AT'=21
-'AUTHORIZATION'=22
-'BETWEEN'=23
-'BOTH'=24
-'BUCKET'=25
-'BUCKETS'=26
-'BY'=27
-'CACHE'=28
-'CASCADE'=29
-'CASE'=30
-'CAST'=31
-'CATALOG'=32
-'CATALOGS'=33
-'CHANGE'=34
-'CHECK'=35
-'CLEAR'=36
-'CLUSTER'=37
-'CLUSTERED'=38
-'CODEGEN'=39
-'COLLATE'=40
-'COLLECTION'=41
-'COLUMN'=42
-'COLUMNS'=43
-'COMMENT'=44
-'COMMIT'=45
-'COMPACT'=46
-'COMPACTIONS'=47
-'COMPUTE'=48
-'CONCATENATE'=49
-'CONSTRAINT'=50
-'COST'=51
-'CREATE'=52
-'CROSS'=53
-'CUBE'=54
-'CURRENT'=55
-'CURRENT_DATE'=56
-'CURRENT_TIME'=57
-'CURRENT_TIMESTAMP'=58
-'CURRENT_USER'=59
-'DAY'=60
-'DAYS'=61
-'DAYOFYEAR'=62
-'DATA'=63
-'DATABASE'=64
-'DATABASES'=65
-'DATEADD'=66
-'DATEDIFF'=67
-'DBPROPERTIES'=68
-'DEFAULT'=69
-'DEFINED'=70
-'DELETE'=71
-'DELIMITED'=72
-'DESC'=73
-'DESCRIBE'=74
-'DFS'=75
-'DIRECTORIES'=76
-'DIRECTORY'=77
-'DISTINCT'=78
-'DISTRIBUTE'=79
-'DIV'=80
-'DROP'=81
-'ELSE'=82
-'END'=83
-'ESCAPE'=84
-'ESCAPED'=85
-'EXCEPT'=86
-'EXCHANGE'=87
-'EXCLUDE'=88
-'EXISTS'=89
-'EXPLAIN'=90
-'EXPORT'=91
-'EXTENDED'=92
-'EXTERNAL'=93
-'EXTRACT'=94
-'FALSE'=95
-'FETCH'=96
-'FIELDS'=97
-'FILTER'=98
-'FILEFORMAT'=99
-'FIRST'=100
-'FOLLOWING'=101
-'FOR'=102
-'FOREIGN'=103
-'FORMAT'=104
-'FORMATTED'=105
-'FROM'=106
-'FULL'=107
-'FUNCTION'=108
-'FUNCTIONS'=109
-'GLOBAL'=110
-'GRANT'=111
-'GROUP'=112
-'GROUPING'=113
-'HAVING'=114
-'HOUR'=115
-'HOURS'=116
-'IF'=117
-'IGNORE'=118
-'IMPORT'=119
-'IN'=120
-'INCLUDE'=121
-'INDEX'=122
-'INDEXES'=123
-'INNER'=124
-'INPATH'=125
-'INPUTFORMAT'=126
-'INSERT'=127
-'INTERSECT'=128
-'INTERVAL'=129
-'INTO'=130
-'IS'=131
-'ITEMS'=132
-'JOIN'=133
-'KEYS'=134
-'LAST'=135
-'LATERAL'=136
-'LAZY'=137
-'LEADING'=138
-'LEFT'=139
-'LIKE'=140
-'ILIKE'=141
-'LIMIT'=142
-'LINES'=143
-'LIST'=144
-'LOAD'=145
-'LOCAL'=146
-'LOCATION'=147
-'LOCK'=148
-'LOCKS'=149
-'LOGICAL'=150
-'MACRO'=151
-'MAP'=152
-'MATCHED'=153
-'MERGE'=154
-'MICROSECOND'=155
-'MICROSECONDS'=156
-'MILLISECOND'=157
-'MILLISECONDS'=158
-'MINUTE'=159
-'MINUTES'=160
-'MONTH'=161
-'MONTHS'=162
-'MSCK'=163
-'NAMESPACE'=164
-'NAMESPACES'=165
-'NANOSECOND'=166
-'NANOSECONDS'=167
-'NATURAL'=168
-'NO'=169
-'NULL'=171
-'NULLS'=172
-'OF'=173
-'OFFSET'=174
-'ON'=175
-'ONLY'=176
-'OPTION'=177
-'OPTIONS'=178
-'OR'=179
-'ORDER'=180
-'OUT'=181
-'OUTER'=182
-'OUTPUTFORMAT'=183
-'OVER'=184
-'OVERLAPS'=185
-'OVERLAY'=186
-'OVERWRITE'=187
-'PARTITION'=188
-'PARTITIONED'=189
-'PARTITIONS'=190
-'PERCENTILE_CONT'=191
-'PERCENTILE_DISC'=192
-'PERCENT'=193
-'PIVOT'=194
-'PLACING'=195
-'POSITION'=196
-'PRECEDING'=197
-'PRIMARY'=198
-'PRINCIPALS'=199
-'PROPERTIES'=200
-'PURGE'=201
-'QUARTER'=202
-'QUERY'=203
-'RANGE'=204
-'RECORDREADER'=205
-'RECORDWRITER'=206
-'RECOVER'=207
-'REDUCE'=208
-'REFERENCES'=209
-'REFRESH'=210
-'RENAME'=211
-'REPAIR'=212
-'REPEATABLE'=213
-'REPLACE'=214
-'RESET'=215
-'RESPECT'=216
-'RESTRICT'=217
-'REVOKE'=218
-'RIGHT'=219
-'ROLE'=221
-'ROLES'=222
-'ROLLBACK'=223
-'ROLLUP'=224
-'ROW'=225
-'ROWS'=226
-'SECOND'=227
-'SECONDS'=228
-'SCHEMA'=229
-'SCHEMAS'=230
-'SELECT'=231
-'SEMI'=232
-'SEPARATED'=233
-'SERDE'=234
-'SERDEPROPERTIES'=235
-'SESSION_USER'=236
-'SET'=237
-'MINUS'=238
-'SETS'=239
-'SHOW'=240
-'SKEWED'=241
-'SOME'=242
-'SORT'=243
-'SORTED'=244
-'SOURCE'=245
-'START'=246
-'STATISTICS'=247
-'STORED'=248
-'STRATIFY'=249
-'STRUCT'=250
-'SUBSTR'=251
-'SUBSTRING'=252
-'SYNC'=253
-'SYSTEM_TIME'=254
-'SYSTEM_VERSION'=255
-'TABLE'=256
-'TABLES'=257
-'TABLESAMPLE'=258
-'TARGET'=259
-'TBLPROPERTIES'=260
-'TERMINATED'=262
-'THEN'=263
-'TIME'=264
-'TIMESTAMP'=265
-'TIMESTAMPADD'=266
-'TIMESTAMPDIFF'=267
-'TO'=268
-'TOUCH'=269
-'TRAILING'=270
-'TRANSACTION'=271
-'TRANSACTIONS'=272
-'TRANSFORM'=273
-'TRIM'=274
-'TRUE'=275
-'TRUNCATE'=276
-'TRY_CAST'=277
-'TYPE'=278
-'UNARCHIVE'=279
-'UNBOUNDED'=280
-'UNCACHE'=281
-'UNION'=282
-'UNIQUE'=283
-'UNKNOWN'=284
-'UNLOCK'=285
-'UNPIVOT'=286
-'UNSET'=287
-'UPDATE'=288
-'USE'=289
-'USER'=290
-'USING'=291
-'VALUES'=292
-'VERSION'=293
-'VIEW'=294
-'VIEWS'=295
-'WEEK'=296
-'WEEKS'=297
-'WHEN'=298
-'WHERE'=299
-'WINDOW'=300
-'WITH'=301
-'WITHIN'=302
-'YEAR'=303
-'YEARS'=304
-'ZONE'=305
-'<=>'=307
-'<>'=308
-'!='=309
-'<'=310
-'>'=312
-'+'=314
-'-'=315
-'*'=316
-'/'=317
-'%'=318
-'~'=319
-'&'=320
-'|'=321
-'||'=322
-'^'=323
-':'=324
-'->'=325
-'/*+'=326
-'*/'=327

From 4f61662e91a77315a9d3d7454884f47c8bb9a6b1 Mon Sep 17 00:00:00 2001
From: Weichen Xu <weichen.xu@databricks.com>
Date: Wed, 23 Aug 2023 15:30:50 +0800
Subject: [PATCH 296/986] [SPARK-44909][ML] Skip starting torch distributor log
 streaming server when it is not available

### What changes were proposed in this pull request?

Skip starting torch distributor log streaming server when it is not available.

In some cases, e.g., in a databricks connect cluster, there is some network limitation that casues starting log streaming server failure, but, this does not need to break torch distributor training routine.

In this PR, it captures exception raised from log server `start` method, and set server port to be -1 if `start` failed.

### Why are the changes needed?

In some cases, e.g., in a databricks connect cluster, there is some network limitation that casues starting log streaming server failure, but, this does not need to break torch distributor training routine.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42606 from WeichenXu123/fix-torch-log-server-in-connect-mode.

Authored-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
(cherry picked from commit 80668dc1a36ac0def80f3c18f981fbdacfb2904d)
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
---
 python/pyspark/ml/torch/distributor.py       | 16 +++++++++++++---
 python/pyspark/ml/torch/log_communication.py |  3 +++
 2 files changed, 16 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/ml/torch/distributor.py b/python/pyspark/ml/torch/distributor.py
index b407672ac485e..d0979f53d41ef 100644
--- a/python/pyspark/ml/torch/distributor.py
+++ b/python/pyspark/ml/torch/distributor.py
@@ -765,9 +765,19 @@ def _run_distributed_training(
         log_streaming_server = LogStreamingServer()
         self.driver_address = _get_conf(self.spark, "spark.driver.host", "")
         assert self.driver_address != ""
-        log_streaming_server.start(spark_host_address=self.driver_address)
-        time.sleep(1)  # wait for the server to start
-        self.log_streaming_server_port = log_streaming_server.port
+        try:
+            log_streaming_server.start(spark_host_address=self.driver_address)
+            time.sleep(1)  # wait for the server to start
+            self.log_streaming_server_port = log_streaming_server.port
+        except Exception as e:
+            # If starting log streaming server failed, we don't need to break
+            # the distributor training but emit a warning instead.
+            self.log_streaming_server_port = -1
+            self.logger.warning(
+                "Start torch distributor log streaming server failed, "
+                "You cannot receive logs sent from distributor workers, ",
+                f"error: {repr(e)}.",
+            )
 
         try:
             spark_task_function = self._get_spark_task_function(
diff --git a/python/pyspark/ml/torch/log_communication.py b/python/pyspark/ml/torch/log_communication.py
index ca91121d3e34b..8efa83e62c367 100644
--- a/python/pyspark/ml/torch/log_communication.py
+++ b/python/pyspark/ml/torch/log_communication.py
@@ -156,6 +156,9 @@ def _fail(self, error_msg: str) -> None:
         warnings.warn(f"{error_msg}: {traceback.format_exc()}\n")
 
     def _connect(self) -> None:
+        if self.port == -1:
+            self._fail("Log streaming server is not available.")
+            return
         try:
             sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
             sock.settimeout(self.timeout)

From 40ccabfd68141eabe8f9b9bf15acad9fc6b7dff1 Mon Sep 17 00:00:00 2001
From: Weichen Xu <weichen.xu@databricks.com>
Date: Wed, 23 Aug 2023 18:19:15 +0800
Subject: [PATCH 297/986] [SPARK-44908][ML][CONNECT] Fix cross validator
 foldCol param functionality

### What changes were proposed in this pull request?

Fix cross validator foldCol param functionality.
In main branch the code calls `df.rdd` APIs but it is not supported in spark connect

### Why are the changes needed?

Bug fix.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42605 from WeichenXu123/fix-tuning-connect-foldCol.

Authored-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
(cherry picked from commit 0d1b5975b2d308c616312d53b9f7ad754348a266)
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
---
 python/pyspark/ml/connect/tuning.py           | 24 ++++++------------
 .../tests/connect/test_legacy_mode_tuning.py  | 25 +++++++++++++++++++
 2 files changed, 32 insertions(+), 17 deletions(-)

diff --git a/python/pyspark/ml/connect/tuning.py b/python/pyspark/ml/connect/tuning.py
index c22c31e84e8de..871e448966c6d 100644
--- a/python/pyspark/ml/connect/tuning.py
+++ b/python/pyspark/ml/connect/tuning.py
@@ -42,8 +42,7 @@
 )
 from pyspark.ml.param import Params, Param, TypeConverters
 from pyspark.ml.param.shared import HasParallelism, HasSeed
-from pyspark.sql.functions import col, lit, rand, UserDefinedFunction
-from pyspark.sql.types import BooleanType
+from pyspark.sql.functions import col, lit, rand
 from pyspark.sql.dataframe import DataFrame
 from pyspark.sql import SparkSession
 
@@ -477,23 +476,14 @@ def _kFold(self, dataset: DataFrame) -> List[Tuple[DataFrame, DataFrame]]:
                 train = df.filter(~condition)
                 datasets.append((train, validation))
         else:
-            # Use user-specified fold numbers.
-            def checker(foldNum: int) -> bool:
-                if foldNum < 0 or foldNum >= nFolds:
-                    raise ValueError(
-                        "Fold number must be in range [0, %s), but got %s." % (nFolds, foldNum)
-                    )
-                return True
-
-            checker_udf = UserDefinedFunction(checker, BooleanType())
+            # TODO:
+            #  Add verification that foldCol column values are in range [0, nFolds)
             for i in range(nFolds):
-                training = dataset.filter(checker_udf(dataset[foldCol]) & (col(foldCol) != lit(i)))
-                validation = dataset.filter(
-                    checker_udf(dataset[foldCol]) & (col(foldCol) == lit(i))
-                )
-                if training.rdd.getNumPartitions() == 0 or len(training.take(1)) == 0:
+                training = dataset.filter(col(foldCol) != lit(i))
+                validation = dataset.filter(col(foldCol) == lit(i))
+                if training.isEmpty():
                     raise ValueError("The training data at fold %s is empty." % i)
-                if validation.rdd.getNumPartitions() == 0 or len(validation.take(1)) == 0:
+                if validation.isEmpty():
                     raise ValueError("The validation data at fold %s is empty." % i)
                 datasets.append((training, validation))
 
diff --git a/python/pyspark/ml/tests/connect/test_legacy_mode_tuning.py b/python/pyspark/ml/tests/connect/test_legacy_mode_tuning.py
index d6c813533d6c0..0ade227540c7e 100644
--- a/python/pyspark/ml/tests/connect/test_legacy_mode_tuning.py
+++ b/python/pyspark/ml/tests/connect/test_legacy_mode_tuning.py
@@ -246,6 +246,31 @@ def _verify_cv_saved_params(instance, loaded_instance):
             np.testing.assert_allclose(cv_model.avgMetrics, loaded_cv_model.avgMetrics)
             np.testing.assert_allclose(cv_model.stdMetrics, loaded_cv_model.stdMetrics)
 
+    def test_crossvalidator_with_fold_col(self):
+        sk_dataset = load_breast_cancer()
+
+        train_dataset = self.spark.createDataFrame(
+            zip(
+                sk_dataset.data.tolist(),
+                [int(t) for t in sk_dataset.target],
+                [int(i % 3) for i in range(len(sk_dataset.target))],
+            ),
+            schema="features: array<double>, label: long, fold: long",
+        )
+
+        lorv2 = LORV2(numTrainWorkers=2)
+
+        grid2 = ParamGridBuilder().addGrid(lorv2.maxIter, [2, 200]).build()
+        cv = CrossValidator(
+            estimator=lorv2,
+            estimatorParamMaps=grid2,
+            parallelism=2,
+            evaluator=BinaryClassificationEvaluator(),
+            foldCol="fold",
+            numFolds=3,
+        )
+        cv.fit(train_dataset)
+
 
 class CrossValidatorTests(CrossValidatorTestsMixin, unittest.TestCase):
     def setUp(self) -> None:

From aee36e0c242935ab85aa4022d8b1ebf2b6b628e7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Bj=C3=B8rn=20J=C3=B8rgensen?= <bjornjorgensen@gmail.com>
Date: Wed, 23 Aug 2023 20:58:12 +0800
Subject: [PATCH 298/986] [SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1
 to 2.5.2
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

### Why are the changes needed?
[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix https://github.com/apache/ant-ivy/commit/2be17bc18b0e1d4123007d579e43ba1a4b6fab3d
### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <bjornjorgensen@gmail.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 611e17e89260cd8d2b12edfc060f31a73773fa02)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index b6aba589d5f0b..8f898fc1ef556 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -98,7 +98,7 @@ httpclient/4.5.14//httpclient-4.5.14.jar
 httpcore/4.4.16//httpcore-4.4.16.jar
 ini4j/0.5.4//ini4j-0.5.4.jar
 istack-commons-runtime/3.0.8//istack-commons-runtime-3.0.8.jar
-ivy/2.5.1//ivy-2.5.1.jar
+ivy/2.5.2//ivy-2.5.2.jar
 jackson-annotations/2.15.2//jackson-annotations-2.15.2.jar
 jackson-core-asl/1.9.13//jackson-core-asl-1.9.13.jar
 jackson-core/2.15.2//jackson-core-2.15.2.jar
diff --git a/pom.xml b/pom.xml
index 2c340f847bf92..e550e16553d7c 100644
--- a/pom.xml
+++ b/pom.xml
@@ -146,7 +146,7 @@
     <jetty.version>9.4.51.v20230217</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>
     <chill.version>0.10.0</chill.version>
-    <ivy.version>2.5.1</ivy.version>
+    <ivy.version>2.5.2</ivy.version>
     <oro.version>2.0.8</oro.version>
     <!--
     If you changes codahale.metrics.version, you also need to change

From a7941f15a0c3034888b1adbd5affce2a9e12788e Mon Sep 17 00:00:00 2001
From: jdesjean <jf.gauthier@databricks.com>
Date: Wed, 23 Aug 2023 18:39:49 +0200
Subject: [PATCH 299/986] [SPARK-44861][CONNECT] jsonignore
 SparkListenerConnectOperationStarted.planRequest

### What changes were proposed in this pull request?
Add `JsonIgnore` to `SparkListenerConnectOperationStarted.planRequest`

### Why are the changes needed?
`SparkListenerConnectOperationStarted` was added as part of [SPARK-43923](https://issues.apache.org/jira/browse/SPARK-43923).
`SparkListenerConnectOperationStarted.planRequest` cannot be serialized & deserialized from json as it has recursive objects which causes failures when attempting these operations.
```
com.fasterxml.jackson.databind.exc.InvalidDefinitionException: Direct self-reference leading to cycle (through reference chain: org.apache.spark.sql.connect.service.SparkListenerConnectOperationStarted["planRequest"]->org.apache.spark.connect.proto.ExecutePlanRequest["unknownFields"]->grpc_shaded.com.google.protobuf.UnknownFieldSet["defaultInstanceForType"])
	at com.fasterxml.jackson.databind.exc.InvalidDefinitionException.from(InvalidDefinitionException.java:77)
	at com.fasterxml.jackson.databind.SerializerProvider.reportBadDefinition(SerializerProvider.java:1308)
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit

Closes #42550 from jdesjean/SPARK-44861.

Authored-by: jdesjean <jf.gauthier@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit dd6cda5b614b4ede418afb4c5b1fdeea9613d32c)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../service/ExecuteEventsManager.scala        |  37 +++---
 .../service/ExecuteEventsManagerSuite.scala   | 114 ++++++++++++------
 .../ui/SparkConnectServerListenerSuite.scala  |   3 -
 .../ui/SparkConnectServerPageSuite.scala      |   1 -
 4 files changed, 95 insertions(+), 60 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
index 5b9267a967937..23a67b7292b40 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteEventsManager.scala
@@ -119,19 +119,19 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
             s"${request.getPlan.getOpTypeCase} not supported.")
       }
 
-    listenerBus.post(
-      SparkListenerConnectOperationStarted(
-        jobTag,
-        operationId,
-        clock.getTimeMillis(),
-        sessionId,
-        request.getUserContext.getUserId,
-        request.getUserContext.getUserName,
-        Utils.redact(
-          sessionHolder.session.sessionState.conf.stringRedactionPattern,
-          ProtoUtils.abbreviate(plan, ExecuteEventsManager.MAX_STATEMENT_TEXT_SIZE).toString),
-        Some(request),
-        sparkSessionTags))
+    val event = SparkListenerConnectOperationStarted(
+      jobTag,
+      operationId,
+      clock.getTimeMillis(),
+      sessionId,
+      request.getUserContext.getUserId,
+      request.getUserContext.getUserName,
+      Utils.redact(
+        sessionHolder.session.sessionState.conf.stringRedactionPattern,
+        ProtoUtils.abbreviate(plan, ExecuteEventsManager.MAX_STATEMENT_TEXT_SIZE).toString),
+      sparkSessionTags)
+    event.planRequest = Some(request)
+    listenerBus.post(event)
   }
 
   /**
@@ -290,8 +290,6 @@ case class ExecuteEventsManager(executeHolder: ExecuteHolder, clock: Clock) {
  *   Opaque userName set in the Connect request.
  * @param statementText:
  *   The connect request plan converted to text.
- * @param planRequest:
- *   The Connect request. None if the operation is not of type @link proto.ExecutePlanRequest
  * @param sparkSessionTags:
  *   Extra tags set by the user (via SparkSession.addTag).
  * @param extraTags:
@@ -305,10 +303,15 @@ case class SparkListenerConnectOperationStarted(
     userId: String,
     userName: String,
     statementText: String,
-    planRequest: Option[proto.ExecutePlanRequest],
     sparkSessionTags: Set[String],
     extraTags: Map[String, String] = Map.empty)
-    extends SparkListenerEvent
+    extends SparkListenerEvent {
+
+  /**
+   * The Connect request. None if the operation is not of type @link proto.ExecutePlanRequest
+   */
+  @JsonIgnore var planRequest: Option[proto.ExecutePlanRequest] = None
+}
 
 /**
  * The event is sent after a Connect request has been analyzed (@link
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
index 7950f9c5474f8..12e67f2c59c60 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/ExecuteEventsManagerSuite.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.connect.planner.SparkConnectPlanTest
 import org.apache.spark.sql.internal.{SessionState, SQLConf}
-import org.apache.spark.util.ManualClock
+import org.apache.spark.util.{JsonProtocol, ManualClock}
 
 class ExecuteEventsManagerSuite
     extends SparkFunSuite
@@ -55,19 +55,25 @@ class ExecuteEventsManagerSuite
   test("SPARK-43923: post started") {
     val events = setupEvents(ExecuteStatus.Pending)
     events.postStarted()
+    val expectedEvent = SparkListenerConnectOperationStarted(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis(),
+      DEFAULT_SESSION_ID,
+      DEFAULT_USER_ID,
+      DEFAULT_USER_NAME,
+      DEFAULT_TEXT,
+      Set.empty,
+      Map.empty)
+    expectedEvent.planRequest = Some(events.executeHolder.request)
 
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(SparkListenerConnectOperationStarted(
-        events.executeHolder.jobTag,
-        DEFAULT_QUERY_ID,
-        DEFAULT_CLOCK.getTimeMillis(),
-        DEFAULT_SESSION_ID,
-        DEFAULT_USER_ID,
-        DEFAULT_USER_NAME,
-        DEFAULT_TEXT,
-        Some(events.executeHolder.request),
-        Set.empty,
-        Map.empty))
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationStarted])
   }
 
   test("SPARK-43923: post analyzed with plan") {
@@ -75,13 +81,18 @@ class ExecuteEventsManagerSuite
 
     val mockPlan = mock[LogicalPlan]
     events.postAnalyzed(Some(mockPlan))
-    val event = SparkListenerConnectOperationAnalyzed(
+    val expectedEvent = SparkListenerConnectOperationAnalyzed(
       events.executeHolder.jobTag,
       DEFAULT_QUERY_ID,
       DEFAULT_CLOCK.getTimeMillis())
-    event.analyzedPlan = Some(mockPlan)
+    expectedEvent.analyzedPlan = Some(mockPlan)
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(event)
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationAnalyzed])
   }
 
   test("SPARK-43923: post analyzed with empty plan") {
@@ -98,47 +109,67 @@ class ExecuteEventsManagerSuite
   test("SPARK-43923: post readyForExecution") {
     val events = setupEvents(ExecuteStatus.Analyzed)
     events.postReadyForExecution()
-    val event = SparkListenerConnectOperationReadyForExecution(
+    val expectedEvent = SparkListenerConnectOperationReadyForExecution(
       events.executeHolder.jobTag,
       DEFAULT_QUERY_ID,
       DEFAULT_CLOCK.getTimeMillis())
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(event)
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationReadyForExecution])
   }
 
   test("SPARK-43923: post canceled") {
     val events = setupEvents(ExecuteStatus.Started)
     events.postCanceled()
+    val expectedEvent = SparkListenerConnectOperationCanceled(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis())
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(
-        SparkListenerConnectOperationCanceled(
-          events.executeHolder.jobTag,
-          DEFAULT_QUERY_ID,
-          DEFAULT_CLOCK.getTimeMillis()))
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationCanceled])
   }
 
   test("SPARK-43923: post failed") {
     val events = setupEvents(ExecuteStatus.Started)
     events.postFailed(DEFAULT_ERROR)
+    val expectedEvent = SparkListenerConnectOperationFailed(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis(),
+      DEFAULT_ERROR,
+      Map.empty[String, String])
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(
-        SparkListenerConnectOperationFailed(
-          events.executeHolder.jobTag,
-          DEFAULT_QUERY_ID,
-          DEFAULT_CLOCK.getTimeMillis(),
-          DEFAULT_ERROR,
-          Map.empty[String, String]))
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationFailed])
   }
 
   test("SPARK-43923: post finished") {
     val events = setupEvents(ExecuteStatus.Started)
     events.postFinished()
+    val expectedEvent = SparkListenerConnectOperationFinished(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis())
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(
-        SparkListenerConnectOperationFinished(
-          events.executeHolder.jobTag,
-          DEFAULT_QUERY_ID,
-          DEFAULT_CLOCK.getTimeMillis()))
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationFinished])
   }
 
   test("SPARK-44776: post finished with row number") {
@@ -156,12 +187,17 @@ class ExecuteEventsManagerSuite
   test("SPARK-43923: post closed") {
     val events = setupEvents(ExecuteStatus.Finished)
     events.postClosed()
+    val expectedEvent = SparkListenerConnectOperationClosed(
+      events.executeHolder.jobTag,
+      DEFAULT_QUERY_ID,
+      DEFAULT_CLOCK.getTimeMillis())
     verify(events.executeHolder.sessionHolder.session.sparkContext.listenerBus, times(1))
-      .post(
-        SparkListenerConnectOperationClosed(
-          events.executeHolder.jobTag,
-          DEFAULT_QUERY_ID,
-          DEFAULT_CLOCK.getTimeMillis()))
+      .post(expectedEvent)
+
+    assert(
+      JsonProtocol
+        .sparkEventFromJson(JsonProtocol.sparkEventToJsonString(expectedEvent))
+        .isInstanceOf[SparkListenerConnectOperationClosed])
   }
 
   test("SPARK-43923: Closed wrong order throws exception") {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
index 7cdc013520134..3b75c37b2aa00 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
@@ -61,7 +61,6 @@ class SparkConnectServerListenerSuite
           "userId",
           "userName",
           "dummy query",
-          None,
           Set()))
       listener.onOtherEvent(
         SparkListenerConnectOperationAnalyzed(jobTag, "operationId", System.currentTimeMillis()))
@@ -153,7 +152,6 @@ class SparkConnectServerListenerSuite
         "userId",
         "userName",
         "dummy query",
-        None,
         Set()))
     listener.onOtherEvent(
       SparkListenerConnectOperationAnalyzed(jobTag, "operationId", System.currentTimeMillis()))
@@ -199,7 +197,6 @@ class SparkConnectServerListenerSuite
         "userId",
         "userName",
         "dummy query",
-        None,
         Set()))
     listener.onOtherEvent(
       SparkListenerConnectOperationAnalyzed(
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala
index 99d0a14f1e8df..d352f4e2c32f7 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerPageSuite.scala
@@ -65,7 +65,6 @@ class SparkConnectServerPageSuite
         "userId",
         "userName",
         "dummy query",
-        None,
         Set()))
     listener.onOtherEvent(
       SparkListenerConnectOperationAnalyzed("jobTag", "dummy plan", System.currentTimeMillis()))

From 2d7e05ddd980ad7a934e5c8fde77335ef6591c06 Mon Sep 17 00:00:00 2001
From: Niranjan Jayakar <nija@databricks.com>
Date: Wed, 23 Aug 2023 18:42:04 +0200
Subject: [PATCH 300/986] [SPARK-44816][CONNECT] Improve error message when UDF
 class is not found

### What changes were proposed in this pull request?

Improve the error messaging on the connect client when using
a UDF whose corresponding class has not been sync'ed with the
spark connect service.

Prior to this change, the client receives a cryptic error:

```
Exception in thread "main" org.apache.spark.SparkException: Main$
```

With this change, the message is improved to be:

```
Exception in thread "main" org.apache.spark.SparkException: Failed to load class: Main$. Make sure the artifact where the class is defined is installed by calling session.addArtifact.
```

### Why are the changes needed?

This change makes it clear to the user on what the error is.

### Does this PR introduce _any_ user-facing change?

Yes. The error message is improved. See details above.

### How was this patch tested?

Manually by running a connect server and client.

Closes #42500 from nija-at/improve-error.

Authored-by: Niranjan Jayakar <nija@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 2d0a0a00cb5dde6bcb8e561278357b6bb8b76dcc)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/connect/planner/SparkConnectPlanner.scala      | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index e81e9bb51cb2f..46c465e4deb56 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -1527,6 +1527,11 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
               s"Failed to load class correctly due to $nsm. " +
                 "Make sure the artifact where the class is defined is installed by calling" +
                 " session.addArtifact.")
+          case cnf: ClassNotFoundException =>
+            throw new ClassNotFoundException(
+              s"Failed to load class: ${cnf.getMessage}. " +
+                "Make sure the artifact where the class is defined is installed by calling" +
+                " session.addArtifact.")
           case _ => throw t
         }
     }

From 27852078a43b2ff22cb81228c4982cf808f22070 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 23 Aug 2023 16:00:55 -0700
Subject: [PATCH 301/986] [SPARK-44935][K8S] Fix `RELEASE` file to have the
 correct information in Docker images if exists

### What changes were proposed in this pull request?

This PR aims to fix `RELEASE` file to have the correct information in Docker images if `RELEASE` file exists.

Please note that `RELEASE` file doesn't exists in SPARK_HOME directory when we run the K8s integration test from Spark Git repository. So, we keep the following empty `RELEASE` file generation and use `COPY` conditionally via glob syntax.

https://github.com/apache/spark/blob/2a3aec1f9040e08999a2df88f92340cd2710e552/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile#L37

### Why are the changes needed?

Currently, it's an empty file in the official Apache Spark Docker images.

```
$ docker run -it --rm apache/spark:latest ls -al /opt/spark/RELEASE
-rw-r--r-- 1 spark spark 0 Jun 25 03:13 /opt/spark/RELEASE

$ docker run -it --rm apache/spark:v3.1.3 ls -al /opt/spark/RELEASE | tail -n1
-rw-r--r-- 1 root root 0 Feb 21  2022 /opt/spark/RELEASE
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually build image and check it with `docker run -it --rm NEW_IMAGE ls -al /opt/spark/RELEASE`

I copied this `Dockerfile` into Apache Spark 3.5.0 RC2 binary distribution and tested in the following way.
```
$ cd spark-3.5.0-rc2-bin-hadoop3

$ cp /tmp/Dockerfile kubernetes/dockerfiles/spark/Dockerfile

$ bin/docker-image-tool.sh -t SPARK-44935 build

$ docker run -it --rm docker.io/library/spark:SPARK-44935 ls -al /opt/spark/RELEASE | tail -n1
-rw-r--r-- 1 root root 165 Aug 18 21:10 /opt/spark/RELEASE

$ docker run -it --rm docker.io/library/spark:SPARK-44935 cat /opt/spark/RELEASE | tail -n2
Spark 3.5.0 (git revision 010c4a6a05) built for Hadoop 3.3.4
Build flags: -B -Pmesos -Pyarn -Pkubernetes -Psparkr -Pscala-2.12 -Phadoop-3 -Phive -Phive-thriftserver
```
### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42636 from dongjoon-hyun/SPARK-44935.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit d382c6b3aef28bde6adcdf62b7be565ff1152942)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../kubernetes/docker/src/main/dockerfiles/spark/Dockerfile     | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
index 53026016ee26a..88304c87a79c3 100644
--- a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
+++ b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
@@ -42,6 +42,8 @@ RUN set -ex && \
     rm -rf /var/cache/apt/* && rm -rf /var/lib/apt/lists/*
 
 COPY jars /opt/spark/jars
+# Copy RELEASE file if exists
+COPY RELEAS[E] /opt/spark/RELEASE
 COPY bin /opt/spark/bin
 COPY sbin /opt/spark/sbin
 COPY kubernetes/dockerfiles/spark/entrypoint.sh /opt/

From e1b7a26d2f48f9f149498a9204db6944c7d5bca3 Mon Sep 17 00:00:00 2001
From: Michael Zhang <m.zhang@databricks.com>
Date: Thu, 24 Aug 2023 08:36:53 +0800
Subject: [PATCH 302/986] [SPARK-44750][PYTHON][CONNECT] Apply configuration to
 sparksession during creation

### What changes were proposed in this pull request?

`SparkSession.Builder` now applies configuration options to the create `SparkSession`.

### Why are the changes needed?

It is reasonable to expect PySpark connect `SparkSession.Builder` to behave in the same way as other `SparkSession.Builder`s in Spark Connect. The `SparkSession.Builder` should apply the provided configuration options to the created `SparkSesssion`.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Tests were added to verify that configuration options were applied to the `SparkSession`.

Closes #42548 from michaelzhan-db/SPARK-44750.

Lead-authored-by: Michael Zhang <m.zhang@databricks.com>
Co-authored-by: Ruifeng Zheng <ruifengz@foxmail.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit c2e3171f3d3887302227edc39ee124bd61561b7d)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/session.py         | 10 +++++++++
 .../sql/tests/connect/test_connect_basic.py   | 21 +++++++++++++++++++
 2 files changed, 31 insertions(+)

diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index d75a30c561f93..2905f7e42694b 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -176,6 +176,14 @@ def enableHiveSupport(self) -> "SparkSession.Builder":
                 error_class="NOT_IMPLEMENTED", message_parameters={"feature": "enableHiveSupport"}
             )
 
+        def _apply_options(self, session: "SparkSession") -> None:
+            with self._lock:
+                for k, v in self._options.items():
+                    try:
+                        session.conf.set(k, v)
+                    except Exception as e:
+                        warnings.warn(str(e))
+
         def create(self) -> "SparkSession":
             has_channel_builder = self._channel_builder is not None
             has_spark_remote = "spark.remote" in self._options
@@ -200,6 +208,7 @@ def create(self) -> "SparkSession":
                 session = SparkSession(connection=spark_remote)
 
             SparkSession._set_default_and_active_session(session)
+            self._apply_options(session)
             return session
 
         def getOrCreate(self) -> "SparkSession":
@@ -209,6 +218,7 @@ def getOrCreate(self) -> "SparkSession":
                     session = SparkSession._default_session
                     if session is None:
                         session = self.create()
+                self._apply_options(session)
                 return session
 
     _client: SparkConnectClient
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 9e8f562397180..54911c09b6fc0 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -3347,6 +3347,27 @@ def test_can_create_multiple_sessions_to_different_remotes(self):
             self.assertIn("Create a new SparkSession is only supported with SparkConnect.", str(e))
 
 
+class SparkConnectSessionWithOptionsTest(ReusedConnectTestCase):
+    def setUp(self) -> None:
+        self.spark = (
+            PySparkSession.builder.config("string", "foo")
+            .config("integer", 1)
+            .config("boolean", False)
+            .appName(self.__class__.__name__)
+            .remote("local[4]")
+            .getOrCreate()
+        )
+
+    def tearDown(self):
+        self.spark.stop()
+
+    def test_config(self):
+        # Config
+        self.assertEqual(self.spark.conf.get("string"), "foo")
+        self.assertEqual(self.spark.conf.get("boolean"), "false")
+        self.assertEqual(self.spark.conf.get("integer"), "1")
+
+
 @unittest.skipIf(not should_test_connect, connect_requirement_message)
 class ClientTests(unittest.TestCase):
     def test_retry_error_handling(self):

From e07e291cc7a325e7b698d1a974ff68423e1781e5 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 24 Aug 2023 13:51:26 +0800
Subject: [PATCH 303/986] [SPARK-44929][TESTS] Standardize log output for
 console appender in tests

### What changes were proposed in this pull request?

This PR set a character length limit for the error message and a stack depth limit for error stack traces to the console appender in tests.

The original patterns are

- %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
- %t: %m%n%ex

And they're adjusted to the new consistent pattern

- `%d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n`

### Why are the changes needed?

In testing, intentional and unintentional failures are created to generate extensive log volumes. For instance, a single FileNotFound error may be logged multiple times in the writer, task runner, task set manager, and other areas, resulting in thousands of lines per failure.

For example, tests in ParquetRebaseDatetimeSuite will be run with V1 and V2 Datasource, two or more specific values, and multiple configuration pairs. I have seen the SparkUpgradeException all over the CI logs

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

```
build/sbt "sql/testOnly *ParquetRebaseDatetimeV1Suite"
```

```
15:59:55.446 ERROR org.apache.spark.sql.execution.datasources.FileFormatWriter: Job job_202308230059551630377040190578321_1301 aborted.
15:59:55.446 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 1301.0 (TID 1595)
org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task failed while writing rows to file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
	at org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
	at org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
15:59:55.446 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 1301.0 (TID 1595) (10.221.97.38 executor driver): org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task failed while writing rows to file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
	at org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
	at org.apache.spark.sql.execution.datasources....
15:59:55.446 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 1301.0 failed 1 times; aborting job
15:59:55.447 ERROR org.apache.spark.sql.execution.datasources.FileFormatWriter: Aborting job 0ead031e-c9dd-446b-b20b-c76ec54978b1.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1301.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1301.0 (TID 1595) (10.221.97.38 executor driver): org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task failed while writing rows to file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
	at org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
	at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
	at org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
15:59:55.579 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 1303.0 (TID 1597)
```

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42627 from yaooqinn/SPARK-44929.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 830500150f7e3972d1fa5b47d0ab564bfa7e4b12)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../connect/client/jvm/src/test/resources/log4j2.properties     | 2 +-
 connector/connect/server/src/test/resources/log4j2.properties   | 2 +-
 connector/protobuf/src/test/resources/log4j2.properties         | 2 +-
 core/src/test/resources/log4j2.properties                       | 2 +-
 hadoop-cloud/src/test/resources/log4j2.properties               | 2 +-
 repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala       | 2 +-
 .../src/test/resources/log-config-test-log4j.properties         | 2 +-
 .../spark/deploy/k8s/integrationtest/DecommissionSuite.scala    | 2 +-
 .../org/apache/spark/deploy/yarn/BaseYarnClusterSuite.scala     | 2 +-
 sql/core/src/test/resources/log4j2.properties                   | 2 +-
 sql/hive-thriftserver/src/test/resources/log4j2.properties      | 2 +-
 .../spark/sql/hive/thriftserver/HiveThriftServer2Suites.scala   | 2 +-
 .../apache/spark/sql/hive/thriftserver/UISeleniumSuite.scala    | 2 +-
 sql/hive/src/test/resources/log4j2.properties                   | 2 +-
 14 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/resources/log4j2.properties b/connector/connect/client/jvm/src/test/resources/log4j2.properties
index ab02104c69697..550fd261b6fb5 100644
--- a/connector/connect/client/jvm/src/test/resources/log4j2.properties
+++ b/connector/connect/client/jvm/src/test/resources/log4j2.properties
@@ -32,7 +32,7 @@ appender.console.type = Console
 appender.console.name = console
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %t: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.sparkproject.jetty
diff --git a/connector/connect/server/src/test/resources/log4j2.properties b/connector/connect/server/src/test/resources/log4j2.properties
index ac4c1de0e9106..f782d7f3aaa48 100644
--- a/connector/connect/server/src/test/resources/log4j2.properties
+++ b/connector/connect/server/src/test/resources/log4j2.properties
@@ -32,7 +32,7 @@ appender.console.type = Console
 appender.console.name = console
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %t: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.sparkproject.jetty
diff --git a/connector/protobuf/src/test/resources/log4j2.properties b/connector/protobuf/src/test/resources/log4j2.properties
index ab02104c69697..550fd261b6fb5 100644
--- a/connector/protobuf/src/test/resources/log4j2.properties
+++ b/connector/protobuf/src/test/resources/log4j2.properties
@@ -32,7 +32,7 @@ appender.console.type = Console
 appender.console.name = console
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %t: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.sparkproject.jetty
diff --git a/core/src/test/resources/log4j2.properties b/core/src/test/resources/log4j2.properties
index ab02104c69697..550fd261b6fb5 100644
--- a/core/src/test/resources/log4j2.properties
+++ b/core/src/test/resources/log4j2.properties
@@ -32,7 +32,7 @@ appender.console.type = Console
 appender.console.name = console
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %t: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.sparkproject.jetty
diff --git a/hadoop-cloud/src/test/resources/log4j2.properties b/hadoop-cloud/src/test/resources/log4j2.properties
index 01a9cafafa85e..215cc8e4888cd 100644
--- a/hadoop-cloud/src/test/resources/log4j2.properties
+++ b/hadoop-cloud/src/test/resources/log4j2.properties
@@ -33,7 +33,7 @@ appender.console.type = Console
 appender.console.name = STDERR
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %t: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 logger.jetty.name = org.spark_project.jetty
diff --git a/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala b/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala
index 1f44826c100fc..bb2a85cfa0de6 100644
--- a/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala
+++ b/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala
@@ -284,7 +284,7 @@ class ReplSuite extends SparkFunSuite {
         |appender.console.target = SYSTEM_ERR
         |appender.console.follow = true
         |appender.console.layout.type = PatternLayout
-        |appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
+        |appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
         |
         |# Set the log level for this class to ERROR same as the default setting.
         |logger.repl.name = org.apache.spark.repl.Main
diff --git a/resource-managers/kubernetes/integration-tests/src/test/resources/log-config-test-log4j.properties b/resource-managers/kubernetes/integration-tests/src/test/resources/log-config-test-log4j.properties
index 4aeea88625190..c30c42e1ebdba 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/resources/log-config-test-log4j.properties
+++ b/resource-managers/kubernetes/integration-tests/src/test/resources/log-config-test-log4j.properties
@@ -23,4 +23,4 @@ appender.console.type = Console
 appender.console.name = console
 appender.console.target = SYSTEM_ERR
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/DecommissionSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/DecommissionSuite.scala
index aea4486e0e234..743de91b08fa3 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/DecommissionSuite.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/DecommissionSuite.scala
@@ -47,7 +47,7 @@ private[spark] trait DecommissionSuite { k8sSuite: KubernetesSuite =>
           |appender.console.name = console
           |appender.console.target = SYSTEM_OUT
           |appender.console.layout.type = PatternLayout
-          |appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
+          |appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
           |
           |logger.spark.name = org.apache.spark
           |logger.spark.level = debug
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/BaseYarnClusterSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/BaseYarnClusterSuite.scala
index 472f29d111724..d166c50a1ddb2 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/BaseYarnClusterSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/BaseYarnClusterSuite.scala
@@ -51,7 +51,7 @@ abstract class BaseYarnClusterSuite extends SparkFunSuite with Matchers {
     |appender.console.name = console
     |appender.console.target = SYSTEM_ERR
     |appender.console.layout.type = PatternLayout
-    |appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
+    |appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
     |logger.jetty.name = org.sparkproject.jetty
     |logger.jetty.level = warn
     |logger.eclipse.name = org.eclipse.jetty
diff --git a/sql/core/src/test/resources/log4j2.properties b/sql/core/src/test/resources/log4j2.properties
index 49df23c4fc7fe..7ab47c16d4f94 100644
--- a/sql/core/src/test/resources/log4j2.properties
+++ b/sql/core/src/test/resources/log4j2.properties
@@ -25,7 +25,7 @@ appender.console.type = Console
 appender.console.name = STDOUT
 appender.console.target = SYSTEM_OUT
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 appender.console.filter.threshold.type = ThresholdFilter
 appender.console.filter.threshold.level = warn
 
diff --git a/sql/hive-thriftserver/src/test/resources/log4j2.properties b/sql/hive-thriftserver/src/test/resources/log4j2.properties
index cc483f4671ebe..ebb3a6ccb2fca 100644
--- a/sql/hive-thriftserver/src/test/resources/log4j2.properties
+++ b/sql/hive-thriftserver/src/test/resources/log4j2.properties
@@ -25,7 +25,7 @@ appender.console.type = Console
 appender.console.name = STDOUT
 appender.console.target = SYSTEM_OUT
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 
 appender.console.filter.1.type = Filters
 
diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2Suites.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2Suites.scala
index 8fd432148bb19..b421a94a06c40 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2Suites.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2Suites.scala
@@ -1229,7 +1229,7 @@ abstract class HiveThriftServer2TestBase extends SparkFunSuite with BeforeAndAft
           |appender.console.name = console
           |appender.console.target = SYSTEM_ERR
           |appender.console.layout.type = PatternLayout
-          |appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
+          |appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
         """.stripMargin,
         new File(s"$tempLog4jConf/log4j2.properties"),
         StandardCharsets.UTF_8)
diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/UISeleniumSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/UISeleniumSuite.scala
index 02ee8dd273d41..53a69d964b1c4 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/UISeleniumSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/UISeleniumSuite.scala
@@ -80,7 +80,7 @@ class UISeleniumSuite
           |appender.console.name = console
           |appender.console.target = SYSTEM_ERR
           |appender.console.layout.type = PatternLayout
-          |appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex
+          |appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
         """.stripMargin,
         new File(s"$tempLog4jConf/log4j2.properties"),
         StandardCharsets.UTF_8)
diff --git a/sql/hive/src/test/resources/log4j2.properties b/sql/hive/src/test/resources/log4j2.properties
index 6e2c01c4b146c..c91f417bc6b24 100644
--- a/sql/hive/src/test/resources/log4j2.properties
+++ b/sql/hive/src/test/resources/log4j2.properties
@@ -25,7 +25,7 @@ appender.console.type = Console
 appender.console.name = STDOUT
 appender.console.target = SYSTEM_OUT
 appender.console.layout.type = PatternLayout
-appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %m%n%ex
+appender.console.layout.pattern = %d{HH:mm:ss.SSS} %p %c: %maxLen{%m}{512}%n%ex{8}%n
 appender.console.filter.threshold.type = ThresholdFilter
 appender.console.filter.threshold.level = warn
 

From af5a24ca116eaa46f58c456ffe71d5f9b02417c7 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 24 Aug 2023 14:56:01 +0800
Subject: [PATCH 304/986] [SPARK-43943][FOLLOWUP] Correct a function alias

### What changes were proposed in this pull request?
Correct a function alias

### Why are the changes needed?
it should be `sign`

### Does this PR introduce _any_ user-facing change?
actually no, since `pyspark.sql.connect.function` shares the same namespace with `pyspark.sql.function`

also manually check (before this PR)
```
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 4.0.0.dev0
      /_/

Using Python version 3.10.11 (main, May 17 2023 14:30:36)
Client connected to the Spark Connect server at localhost
SparkSession available as 'spark'.

In [1]: from pyspark.sql import functions as sf

In [2]: sf.sign
Out[2]: <function pyspark.sql.functions.signum(col: 'ColumnOrName') -> pyspark.sql.column.Column>

In [3]: sf.sigh
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[3], line 1
----> 1 sf.sigh

AttributeError: module 'pyspark.sql.functions' has no attribute 'sigh'
```

### How was this patch tested?
CI

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42642 from zhengruifeng/spark_43943_followup.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit c660eb367c0b1447230025bb9165a1bbc00b6fc3)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/connect/functions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index 9d01073e5da99..0c511d6c07c54 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -823,7 +823,7 @@ def signum(col: "ColumnOrName") -> Column:
 signum.__doc__ = pysparkfuncs.signum.__doc__
 
 
-sigh = signum
+sign = signum
 
 
 def sin(col: "ColumnOrName") -> Column:

From a9db96e0d51a4f746a802c148c70ddb2bfe06ee0 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 24 Aug 2023 14:57:55 +0800
Subject: [PATCH 305/986] [SPARK-44928][PYTHON][DOCS][3.5] Replace the module
 alias 'sf' instead of 'F' in pyspark.sql import functions

### What changes were proposed in this pull request?
cherry-pick https://github.com/apache/spark/pull/42628 for 3.5

### Why are the changes needed?
for better doc

### Does this PR introduce _any_ user-facing change?
Yes

### How was this patch tested?
CI

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42640 from zhengruifeng/replace_F_35.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 docs/quick-start.md                           |  8 ++---
 .../structured-streaming-programming-guide.md |  4 +--
 python/docs/source/development/debugging.rst  |  4 +--
 .../user_guide/pandas_on_spark/options.rst    | 10 +++----
 python/pyspark/pandas/namespace.py            |  5 ++--
 python/pyspark/pandas/utils.py                |  7 +++--
 python/pyspark/sql/column.py                  |  8 ++---
 python/pyspark/sql/dataframe.py               | 10 +++----
 python/pyspark/sql/functions.py               | 30 +++++++++----------
 python/pyspark/sql/group.py                   |  4 +--
 10 files changed, 46 insertions(+), 44 deletions(-)

diff --git a/docs/quick-start.md b/docs/quick-start.md
index 91b23851f721e..cab541a0351e9 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -130,8 +130,8 @@ Dataset actions and transformations can be used for more complex computations. L
 <div data-lang="python" markdown="1">
 
 {% highlight python %}
->>> from pyspark.sql.functions import *
->>> textFile.select(size(split(textFile.value, "\s+")).name("numWords")).agg(max(col("numWords"))).collect()
+>>> from pyspark.sql import functions as sf
+>>> textFile.select(sf.size(sf.split(textFile.value, "\s+")).name("numWords")).agg(sf.max(sf.col("numWords"))).collect()
 [Row(max(numWords)=15)]
 {% endhighlight %}
 
@@ -140,7 +140,7 @@ This first maps a line to an integer value and aliases it as "numWords", creatin
 One common data flow pattern is MapReduce, as popularized by Hadoop. Spark can implement MapReduce flows easily:
 
 {% highlight python %}
->>> wordCounts = textFile.select(explode(split(textFile.value, "\s+")).alias("word")).groupBy("word").count()
+>>> wordCounts = textFile.select(sf.explode(sf.split(textFile.value, "\s+")).alias("word")).groupBy("word").count()
 {% endhighlight %}
 
 Here, we use the `explode` function in `select`, to transform a Dataset of lines to a Dataset of words, and then combine `groupBy` and `count` to compute the per-word counts in the file as a DataFrame of 2 columns: "word" and "count". To collect the word counts in our shell, we can call `collect`:
@@ -313,7 +313,7 @@ named `SimpleApp.scala`:
 import org.apache.spark.sql.SparkSession
 
 object SimpleApp {
-  def main(args: Array[String]) {
+  def main(args: Array[String]): Unit = {
     val logFile = "YOUR_SPARK_HOME/README.md" // Should be some file on your system
     val spark = SparkSession.builder.appName("Simple Application").getOrCreate()
     val logData = spark.read.textFile(logFile).cache()
diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index dc25adbdfd33e..76a22621a0e32 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -1215,12 +1215,12 @@ event start time and evaluated gap duration during the query execution.
 
 <div data-lang="python"  markdown="1">
 {% highlight python %}
-from pyspark.sql import functions as F
+from pyspark.sql import functions as sf
 
 events = ...  # streaming DataFrame of schema { timestamp: Timestamp, userId: String }
 
 session_window = session_window(events.timestamp, \
-    F.when(events.userId == "user1", "5 seconds") \
+    sf.when(events.userId == "user1", "5 seconds") \
     .when(events.userId == "user2", "20 seconds").otherwise("5 minutes"))
 
 # Group the data by session window and userId, and compute the count of each group
diff --git a/python/docs/source/development/debugging.rst b/python/docs/source/development/debugging.rst
index a188d3f3e78d5..ef848a6e961e1 100644
--- a/python/docs/source/development/debugging.rst
+++ b/python/docs/source/development/debugging.rst
@@ -475,10 +475,10 @@ Example:
 
 .. code-block:: python
 
-    >>> import pyspark.sql.functions as F
+    >>> import pyspark.sql.functions as sf
     >>> from pyspark.sql.functions import udf
     >>> def f(x):
-    ...   return F.abs(x)
+    ...   return sf.abs(x)
     ...
     >>> spark.range(-1, 1).withColumn("abs", udf(f)("id")).collect()
     22/04/12 14:52:31 ERROR Executor: Exception in task 7.0 in stage 37.0 (TID 232)
diff --git a/python/docs/source/user_guide/pandas_on_spark/options.rst b/python/docs/source/user_guide/pandas_on_spark/options.rst
index 3f99e059431a5..92b572b9d806b 100644
--- a/python/docs/source/user_guide/pandas_on_spark/options.rst
+++ b/python/docs/source/user_guide/pandas_on_spark/options.rst
@@ -175,11 +175,11 @@ This is conceptually equivalent to the PySpark example as below:
 
 .. code-block:: python
 
-    >>> from pyspark.sql import functions as F, Window
+    >>> from pyspark.sql import functions as sf, Window
     >>> import pyspark.pandas as ps
     >>> spark_df = ps.range(3).to_spark()
-    >>> sequential_index = F.row_number().over(
-    ...    Window.orderBy(F.monotonically_increasing_id().asc())) - 1
+    >>> sequential_index = sf.row_number().over(
+    ...    Window.orderBy(sf.monotonically_increasing_id().asc())) - 1
     >>> spark_df.select(sequential_index).rdd.map(lambda r: r[0]).collect()
     [0, 1, 2]
 
@@ -225,10 +225,10 @@ This is conceptually equivalent to the PySpark example as below:
 
 .. code-block:: python
 
-    >>> from pyspark.sql import functions as F
+    >>> from pyspark.sql import functions as sf
     >>> import pyspark.pandas as ps
     >>> spark_df = ps.range(3).to_spark()
-    >>> spark_df.select(F.monotonically_increasing_id()) \
+    >>> spark_df.select(sf.monotonically_increasing_id()) \
     ...     .rdd.map(lambda r: r[0]).collect()
     [25769803776, 60129542144, 94489280512]
 
diff --git a/python/pyspark/pandas/namespace.py b/python/pyspark/pandas/namespace.py
index 3563a6d81b4fa..5689471eb2f28 100644
--- a/python/pyspark/pandas/namespace.py
+++ b/python/pyspark/pandas/namespace.py
@@ -3278,7 +3278,7 @@ def merge_asof(
     ...     quotes,
     ...     on="time",
     ...     by="ticker",
-    ...     tolerance=F.expr("INTERVAL 2 MILLISECONDS")  # pd.Timedelta("2ms")
+    ...     tolerance=sf.expr("INTERVAL 2 MILLISECONDS")  # pd.Timedelta("2ms")
     ... ).sort_values(["time", "ticker", "price"]).reset_index(drop=True)
                          time ticker   price  quantity     bid     ask
     0 2016-05-25 13:30:00.023   MSFT   51.95        75   51.95   51.96
@@ -3296,7 +3296,7 @@ def merge_asof(
     ...     quotes,
     ...     on="time",
     ...     by="ticker",
-    ...     tolerance=F.expr("INTERVAL 10 MILLISECONDS"),  # pd.Timedelta("10ms")
+    ...     tolerance=sf.expr("INTERVAL 10 MILLISECONDS"),  # pd.Timedelta("10ms")
     ...     allow_exact_matches=False
     ... ).sort_values(["time", "ticker", "price"]).reset_index(drop=True)
                          time ticker   price  quantity     bid     ask
@@ -3776,6 +3776,7 @@ def _test() -> None:
 
     globs = pyspark.pandas.namespace.__dict__.copy()
     globs["ps"] = pyspark.pandas
+    globs["sf"] = F
     spark = (
         SparkSession.builder.master("local[4]")
         .appName("pyspark.pandas.namespace tests")
diff --git a/python/pyspark/pandas/utils.py b/python/pyspark/pandas/utils.py
index 55b9a57ef6187..ebeb1d69d1b8e 100644
--- a/python/pyspark/pandas/utils.py
+++ b/python/pyspark/pandas/utils.py
@@ -928,11 +928,11 @@ def spark_column_equals(left: Column, right: Column) -> bool:
     """
     Check both `left` and `right` have the same expressions.
 
-    >>> spark_column_equals(F.lit(0), F.lit(0))
+    >>> spark_column_equals(sf.lit(0), sf.lit(0))
     True
-    >>> spark_column_equals(F.lit(0) + 1, F.lit(0) + 1)
+    >>> spark_column_equals(sf.lit(0) + 1, sf.lit(0) + 1)
     True
-    >>> spark_column_equals(F.lit(0) + 1, F.lit(0) + 2)
+    >>> spark_column_equals(sf.lit(0) + 1, sf.lit(0) + 2)
     False
     >>> sdf1 = ps.DataFrame({"x": ['a', 'b', 'c']}).to_spark()
     >>> spark_column_equals(sdf1["x"] + 1, sdf1["x"] + 1)
@@ -1045,6 +1045,7 @@ def _test() -> None:
 
     globs = pyspark.pandas.utils.__dict__.copy()
     globs["ps"] = pyspark.pandas
+    globs["sf"] = F
     spark = (
         SparkSession.builder.master("local[4]").appName("pyspark.pandas.utils tests").getOrCreate()
     )
diff --git a/python/pyspark/sql/column.py b/python/pyspark/sql/column.py
index 087cfaaa20b21..a559cf2bab93b 100644
--- a/python/pyspark/sql/column.py
+++ b/python/pyspark/sql/column.py
@@ -1281,10 +1281,10 @@ def when(self, condition: "Column", value: Any) -> "Column":
 
         Examples
         --------
-        >>> from pyspark.sql import functions as F
+        >>> from pyspark.sql import functions as sf
         >>> df = spark.createDataFrame(
         ...      [(2, "Alice"), (5, "Bob")], ["age", "name"])
-        >>> df.select(df.name, F.when(df.age > 4, 1).when(df.age < 3, -1).otherwise(0)).show()
+        >>> df.select(df.name, sf.when(df.age > 4, 1).when(df.age < 3, -1).otherwise(0)).show()
         +-----+------------------------------------------------------------+
         | name|CASE WHEN (age > 4) THEN 1 WHEN (age < 3) THEN -1 ELSE 0 END|
         +-----+------------------------------------------------------------+
@@ -1327,10 +1327,10 @@ def otherwise(self, value: Any) -> "Column":
 
         Examples
         --------
-        >>> from pyspark.sql import functions as F
+        >>> from pyspark.sql import functions as sf
         >>> df = spark.createDataFrame(
         ...      [(2, "Alice"), (5, "Bob")], ["age", "name"])
-        >>> df.select(df.name, F.when(df.age > 3, 1).otherwise(0)).show()
+        >>> df.select(df.name, sf.when(df.age > 3, 1).otherwise(0)).show()
         +-----+-------------------------------------+
         | name|CASE WHEN (age > 3) THEN 1 ELSE 0 END|
         +-----+-------------------------------------+
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 35f2c70f8c947..30ed73d3c47b0 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -2543,14 +2543,14 @@ def _joinAsOf(
          Row(a=5, left_val='b', right_val=3),
          Row(a=10, left_val='c', right_val=7)]
 
-        >>> from pyspark.sql import functions as F
+        >>> from pyspark.sql import functions as sf
         >>> left._joinAsOf(
-        ...     right, leftAsOfColumn="a", rightAsOfColumn="a", tolerance=F.lit(1)
+        ...     right, leftAsOfColumn="a", rightAsOfColumn="a", tolerance=sf.lit(1)
         ... ).select(left.a, 'left_val', 'right_val').sort("a").collect()
         [Row(a=1, left_val='a', right_val=1)]
 
         >>> left._joinAsOf(
-        ...     right, leftAsOfColumn="a", rightAsOfColumn="a", how="left", tolerance=F.lit(1)
+        ...     right, leftAsOfColumn="a", rightAsOfColumn="a", how="left", tolerance=sf.lit(1)
         ... ).select(left.a, 'left_val', 'right_val').sort("a").collect()
         [Row(a=1, left_val='a', right_val=1),
          Row(a=5, left_val='b', right_val=None),
@@ -3679,7 +3679,7 @@ def agg(self, *exprs: Union[Column, Dict[str, str]]) -> "DataFrame":
 
         Examples
         --------
-        >>> from pyspark.sql import functions as F
+        >>> from pyspark.sql import functions as sf
         >>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
         >>> df.agg({"age": "max"}).show()
         +--------+
@@ -3687,7 +3687,7 @@ def agg(self, *exprs: Union[Column, Dict[str, str]]) -> "DataFrame":
         +--------+
         |       5|
         +--------+
-        >>> df.agg(F.min(df.age)).show()
+        >>> df.agg(sf.min(df.age)).show()
         +--------+
         |min(age)|
         +--------+
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index c5c84518eb9ce..398ad15676cf0 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -4311,8 +4311,8 @@ def monotonically_increasing_id() -> Column:
 
     Examples
     --------
-    >>> from pyspark.sql import functions as F
-    >>> spark.range(0, 10, 1, 2).select(F.monotonically_increasing_id()).show()
+    >>> from pyspark.sql import functions as sf
+    >>> spark.range(0, 10, 1, 2).select(sf.monotonically_increasing_id()).show()
     +-----------------------------+
     |monotonically_increasing_id()|
     +-----------------------------+
@@ -4611,8 +4611,8 @@ def rand(seed: Optional[int] = None) -> Column:
 
     Examples
     --------
-    >>> from pyspark.sql import functions as F
-    >>> spark.range(0, 2, 1, 1).withColumn('rand', F.rand(seed=42) * 3).show()
+    >>> from pyspark.sql import functions as sf
+    >>> spark.range(0, 2, 1, 1).withColumn('rand', sf.rand(seed=42) * 3).show()
     +---+------------------+
     | id|              rand|
     +---+------------------+
@@ -4652,8 +4652,8 @@ def randn(seed: Optional[int] = None) -> Column:
 
     Examples
     --------
-    >>> from pyspark.sql import functions as F
-    >>> spark.range(0, 2, 1, 1).withColumn('randn', F.randn(seed=42)).show()
+    >>> from pyspark.sql import functions as sf
+    >>> spark.range(0, 2, 1, 1).withColumn('randn', sf.randn(seed=42)).show()
     +---+------------------+
     | id|             randn|
     +---+------------------+
@@ -5154,9 +5154,9 @@ def log(arg1: Union["ColumnOrName", float], arg2: Optional["ColumnOrName"] = Non
 
     Examples
     --------
-    >>> from pyspark.sql import functions as F
+    >>> from pyspark.sql import functions as sf
     >>> df = spark.sql("SELECT * FROM VALUES (1), (2), (4) AS t(value)")
-    >>> df.select(F.log(2.0, df.value).alias('log2_value')).show()
+    >>> df.select(sf.log(2.0, df.value).alias('log2_value')).show()
     +----------+
     |log2_value|
     +----------+
@@ -5167,7 +5167,7 @@ def log(arg1: Union["ColumnOrName", float], arg2: Optional["ColumnOrName"] = Non
 
     And Natural logarithm
 
-    >>> df.select(F.log(df.value).alias('ln_value')).show()
+    >>> df.select(sf.log(df.value).alias('ln_value')).show()
     +------------------+
     |          ln_value|
     +------------------+
@@ -11571,11 +11571,11 @@ def explode(col: "ColumnOrName") -> Column:
     Examples
     --------
     >>> from pyspark.sql import Row
-    >>> eDF = spark.createDataFrame([Row(a=1, intlist=[1,2,3], mapfield={"a": "b"})])
-    >>> eDF.select(explode(eDF.intlist).alias("anInt")).collect()
+    >>> df = spark.createDataFrame([Row(a=1, intlist=[1,2,3], mapfield={"a": "b"})])
+    >>> df.select(explode(df.intlist).alias("anInt")).collect()
     [Row(anInt=1), Row(anInt=2), Row(anInt=3)]
 
-    >>> eDF.select(explode(eDF.mapfield).alias("key", "value")).show()
+    >>> df.select(explode(df.mapfield).alias("key", "value")).show()
     +---+-----+
     |key|value|
     +---+-----+
@@ -11610,11 +11610,11 @@ def posexplode(col: "ColumnOrName") -> Column:
     Examples
     --------
     >>> from pyspark.sql import Row
-    >>> eDF = spark.createDataFrame([Row(a=1, intlist=[1,2,3], mapfield={"a": "b"})])
-    >>> eDF.select(posexplode(eDF.intlist)).collect()
+    >>> df = spark.createDataFrame([Row(a=1, intlist=[1,2,3], mapfield={"a": "b"})])
+    >>> df.select(posexplode(df.intlist)).collect()
     [Row(pos=0, col=1), Row(pos=1, col=2), Row(pos=2, col=3)]
 
-    >>> eDF.select(posexplode(eDF.mapfield)).show()
+    >>> df.select(posexplode(df.mapfield)).show()
     +---+---+-----+
     |pos|key|value|
     +---+---+-----+
diff --git a/python/pyspark/sql/group.py b/python/pyspark/sql/group.py
index 1b64e7666fd9a..730f4736909c7 100644
--- a/python/pyspark/sql/group.py
+++ b/python/pyspark/sql/group.py
@@ -125,7 +125,7 @@ def agg(self, *exprs: Union[Column, Dict[str, str]]) -> DataFrame:
 
         Examples
         --------
-        >>> from pyspark.sql import functions as F
+        >>> from pyspark.sql import functions as sf
         >>> from pyspark.sql.functions import pandas_udf, PandasUDFType
         >>> df = spark.createDataFrame(
         ...      [(2, "Alice"), (3, "Alice"), (5, "Bob"), (10, "Bob")], ["age", "name"])
@@ -154,7 +154,7 @@ def agg(self, *exprs: Union[Column, Dict[str, str]]) -> DataFrame:
 
         Group-by name, and calculate the minimum age.
 
-        >>> df.groupBy(df.name).agg(F.min(df.age)).sort("name").show()
+        >>> df.groupBy(df.name).agg(sf.min(df.age)).sort("name").show()
         +-----+--------+
         | name|min(age)|
         +-----+--------+

From 37a6d8743692d33576cf521dfddef1b9e090a129 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 24 Aug 2023 00:53:33 -0700
Subject: [PATCH 306/986] [SPARK-44121][CONNECT][TESTS] Renable Arrow-based
 connect tests in Java 21
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This PR aims to re-enable Arrow-based connect tests in Java 21.
This depends on #42181.

### Why are the changes needed?

To have Java 21 test coverage.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

```
$ java -version
openjdk version "21-ea" 2023-09-19
OpenJDK Runtime Environment (build 21-ea+32-2482)
OpenJDK 64-Bit Server VM (build 21-ea+32-2482, mixed mode, sharing)

$ build/sbt "connect/test" -Phive
...
[info] Run completed in 14 seconds, 136 milliseconds.
[info] Total number of tests run: 858
[info] Suites: completed 20, aborted 0
[info] Tests: succeeded 858, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
[success] Total time: 44 s, completed Aug 23, 2023, 9:42:53 PM

$ build/sbt "connect-client-jvm/test" -Phive
...
[info] Run completed in 1 minute, 24 seconds.
[info] Total number of tests run: 1220
[info] Suites: completed 24, aborted 0
[info] Tests: succeeded 1220, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
[info] Passed: Total 1222, Failed 0, Errors 0, Passed 1222
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42643 from dongjoon-hyun/SPARK-44121.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit a824a6de89fdd2ecc119a9bb48bca64da5db72bd)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/application/ReplE2ESuite.scala  | 40 ++++-----
 .../client/util/RemoteSparkSession.scala      | 86 ++++++++-----------
 .../planner/SparkConnectPlannerSuite.scala    |  7 --
 .../planner/SparkConnectProtoSuite.scala      | 11 ---
 .../planner/SparkConnectServiceSuite.scala    |  9 --
 5 files changed, 52 insertions(+), 101 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index b297123614750..5a909ab8b4178 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -23,7 +23,6 @@ import java.util.concurrent.{Executors, Semaphore, TimeUnit}
 import scala.util.Properties
 
 import org.apache.commons.io.output.ByteArrayOutputStream
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.scalatest.BeforeAndAfterEach
 
 import org.apache.spark.sql.connect.client.util.{IntegrationTestUtils, RemoteSparkSession}
@@ -51,29 +50,26 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
   }
 
   override def beforeAll(): Unit = {
-    // TODO(SPARK-44121) Remove this check condition
-    if (SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17)) {
-      super.beforeAll()
-      ammoniteOut = new ByteArrayOutputStream()
-      testSuiteOut = new PipedOutputStream()
-      // Connect the `testSuiteOut` and `ammoniteIn` pipes
-      ammoniteIn = new PipedInputStream(testSuiteOut)
-      errorStream = new ByteArrayOutputStream()
-
-      val args = Array("--port", serverPort.toString)
-      val task = new Runnable {
-        override def run(): Unit = {
-          ConnectRepl.doMain(
-            args = args,
-            semaphore = Some(semaphore),
-            inputStream = ammoniteIn,
-            outputStream = ammoniteOut,
-            errorStream = errorStream)
-        }
+    super.beforeAll()
+    ammoniteOut = new ByteArrayOutputStream()
+    testSuiteOut = new PipedOutputStream()
+    // Connect the `testSuiteOut` and `ammoniteIn` pipes
+    ammoniteIn = new PipedInputStream(testSuiteOut)
+    errorStream = new ByteArrayOutputStream()
+
+    val args = Array("--port", serverPort.toString)
+    val task = new Runnable {
+      override def run(): Unit = {
+        ConnectRepl.doMain(
+          args = args,
+          semaphore = Some(semaphore),
+          inputStream = ammoniteIn,
+          outputStream = ammoniteOut,
+          errorStream = errorStream)
       }
-
-      executorService.submit(task)
     }
+
+    executorService.submit(task)
   }
 
   override def afterAll(): Unit = {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
index f14109e49b57d..33540bf498535 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
@@ -21,9 +21,7 @@ import java.util.concurrent.TimeUnit
 
 import scala.io.Source
 
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
-import org.scalactic.source.Position
-import org.scalatest.{BeforeAndAfterAll, Tag}
+import org.scalatest.BeforeAndAfterAll
 import sys.process._
 
 import org.apache.spark.sql.SparkSession
@@ -180,44 +178,41 @@ trait RemoteSparkSession extends ConnectFunSuite with BeforeAndAfterAll {
   protected lazy val serverPort: Int = port
 
   override def beforeAll(): Unit = {
-    // TODO(SPARK-44121) Remove this check condition
-    if (SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17)) {
-      super.beforeAll()
-      SparkConnectServerUtils.start()
-      spark = SparkSession
-        .builder()
-        .client(SparkConnectClient.builder().port(serverPort).build())
-        .create()
-
-      // Retry and wait for the server to start
-      val stop = System.nanoTime() + TimeUnit.MINUTES.toNanos(1) // ~1 min
-      var sleepInternalMs = TimeUnit.SECONDS.toMillis(1) // 1s with * 2 backoff
-      var success = false
-      val error = new RuntimeException(s"Failed to start the test server on port $serverPort.")
-
-      while (!success && System.nanoTime() < stop) {
-        try {
-          // Run a simple query to verify the server is really up and ready
-          val result = spark
-            .sql("select val from (values ('Hello'), ('World')) as t(val)")
-            .collect()
-          assert(result.length == 2)
-          success = true
-          debug("Spark Connect Server is up.")
-        } catch {
-          // ignored the error
-          case e: Throwable =>
-            error.addSuppressed(e)
-            Thread.sleep(sleepInternalMs)
-            sleepInternalMs *= 2
-        }
+    super.beforeAll()
+    SparkConnectServerUtils.start()
+    spark = SparkSession
+      .builder()
+      .client(SparkConnectClient.builder().port(serverPort).build())
+      .create()
+
+    // Retry and wait for the server to start
+    val stop = System.nanoTime() + TimeUnit.MINUTES.toNanos(1) // ~1 min
+    var sleepInternalMs = TimeUnit.SECONDS.toMillis(1) // 1s with * 2 backoff
+    var success = false
+    val error = new RuntimeException(s"Failed to start the test server on port $serverPort.")
+
+    while (!success && System.nanoTime() < stop) {
+      try {
+        // Run a simple query to verify the server is really up and ready
+        val result = spark
+          .sql("select val from (values ('Hello'), ('World')) as t(val)")
+          .collect()
+        assert(result.length == 2)
+        success = true
+        debug("Spark Connect Server is up.")
+      } catch {
+        // ignored the error
+        case e: Throwable =>
+          error.addSuppressed(e)
+          Thread.sleep(sleepInternalMs)
+          sleepInternalMs *= 2
       }
+    }
 
-      // Throw error if failed
-      if (!success) {
-        debug(error)
-        throw error
-      }
+    // Throw error if failed
+    if (!success) {
+      debug(error)
+      throw error
     }
   }
 
@@ -230,17 +225,4 @@ trait RemoteSparkSession extends ConnectFunSuite with BeforeAndAfterAll {
     spark = null
     super.afterAll()
   }
-
-  /**
-   * SPARK-44259: override test function to skip `RemoteSparkSession-based` tests as default, we
-   * should delete this function after SPARK-44121 is completed.
-   */
-  override protected def test(testName: String, testTags: Tag*)(testFun: => Any)(implicit
-      pos: Position): Unit = {
-    super.test(testName, testTags: _*) {
-      // TODO(SPARK-44121) Re-enable Arrow-based connect tests in Java 21
-      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
-      testFun
-    }
-  }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
index 39b4f40215dc3..0caa02a0b6112 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectPlannerSuite.scala
@@ -21,7 +21,6 @@ import scala.collection.JavaConverters._
 
 import com.google.protobuf.ByteString
 import io.grpc.stub.StreamObserver
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.connect.proto
@@ -479,8 +478,6 @@ class SparkConnectPlannerSuite extends SparkFunSuite with SparkConnectPlanTest {
   }
 
   test("transform LocalRelation") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     val rows = (0 until 10).map { i =>
       InternalRow(i, UTF8String.fromString(s"str-$i"), InternalRow(i))
     }
@@ -582,8 +579,6 @@ class SparkConnectPlannerSuite extends SparkFunSuite with SparkConnectPlanTest {
   }
 
   test("transform UnresolvedStar and ExpressionString") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     val sql =
       "SELECT * FROM VALUES (1,'spark',1), (2,'hadoop',2), (3,'kafka',3) AS tab(id, name, value)"
     val input = proto.Relation
@@ -620,8 +615,6 @@ class SparkConnectPlannerSuite extends SparkFunSuite with SparkConnectPlanTest {
   }
 
   test("transform UnresolvedStar with target field") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     val rows = (0 until 10).map { i =>
       InternalRow(InternalRow(InternalRow(i, i + 1)))
     }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
index 63b6f775d7b14..0c12bf5e625a9 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
@@ -21,7 +21,6 @@ import java.nio.file.{Files, Paths}
 import scala.collection.JavaConverters._
 
 import com.google.protobuf.ByteString
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 
 import org.apache.spark.{SparkClassNotFoundException, SparkIllegalArgumentException}
 import org.apache.spark.connect.proto
@@ -695,8 +694,6 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
   }
 
   test("WriteTo with create") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("testcat.table_name") {
       spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryTableCatalog].getName)
 
@@ -724,8 +721,6 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
   }
 
   test("WriteTo with create and using") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     val defaultOwnership = Map(TableCatalog.PROP_OWNER -> Utils.getCurrentUserName())
     withTable("testcat.table_name") {
       spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryTableCatalog].getName)
@@ -763,8 +758,6 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
   }
 
   test("WriteTo with append") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("testcat.table_name") {
       spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryTableCatalog].getName)
 
@@ -796,8 +789,6 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
   }
 
   test("WriteTo with overwrite") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("testcat.table_name") {
       spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryTableCatalog].getName)
 
@@ -851,8 +842,6 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
   }
 
   test("WriteTo with overwritePartitions") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("testcat.table_name") {
       spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryTableCatalog].getName)
 
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index 74649e15e9eba..90c9d13def616 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -29,7 +29,6 @@ import io.grpc.stub.StreamObserver
 import org.apache.arrow.memory.RootAllocator
 import org.apache.arrow.vector.{BigIntVector, Float8Vector}
 import org.apache.arrow.vector.ipc.ArrowStreamReader
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
 import org.mockito.Mockito.when
 import org.scalatest.Tag
 import org.scalatestplus.mockito.MockitoSugar
@@ -157,8 +156,6 @@ class SparkConnectServiceSuite
 
   test("SPARK-41224: collect data using arrow") {
     withEvents { verifyEvents =>
-      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
       val instance = new SparkConnectService(false)
       val connect = new MockRemoteSession()
       val context = proto.UserContext
@@ -246,8 +243,6 @@ class SparkConnectServiceSuite
 
   test("SPARK-44776: LocalTableScanExec") {
     withEvents { verifyEvents =>
-      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
       val instance = new SparkConnectService(false)
       val connect = new MockRemoteSession()
       val context = proto.UserContext
@@ -319,8 +314,6 @@ class SparkConnectServiceSuite
     // Set 10 KiB as the batch size limit
     val batchSize = 10 * 1024
     withSparkConf("spark.connect.grpc.arrow.maxBatchSize" -> batchSize.toString) {
-      // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-      assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
       val instance = new SparkConnectService(false)
       val connect = new MockRemoteSession()
       val context = proto.UserContext
@@ -742,8 +735,6 @@ class SparkConnectServiceSuite
   }
 
   test("Test observe response") {
-    // TODO(SPARK-44121) Renable Arrow-based connect tests in Java 21
-    assume(SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17))
     withTable("test") {
       spark.sql("""
                   | CREATE TABLE test (col1 INT, col2 STRING)

From 311a497224db4a00b5cdf928cba8ef30545ee911 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Thu, 24 Aug 2023 19:18:43 +0900
Subject: [PATCH 307/986] [SPARK-44435][SS][CONNECT] Tests for foreachBatch and
 Listener

### What changes were proposed in this pull request?

Add several new test cases for streaming foreachBatch and streaming query listener events to test various scenarios.

### Why are the changes needed?

More tests is better

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Test only change

Closes #42521 from WweiL/SPARK-44435-tests-foreachBatch-listener.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 2d44848f12cf818a0fe54fb03075cd9cca485ecb)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../planner/StreamingForeachBatchHelper.scala |   1 -
 .../streaming/worker/foreachBatch_worker.py   |   1 -
 .../streaming/worker/listener_worker.py       |   1 -
 .../connect/streaming/test_parity_listener.py |  57 +++++----
 .../streaming/test_streaming_foreachBatch.py  | 111 +++++++++++++++++-
 5 files changed, 144 insertions(+), 27 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 21e4adb9896b6..ef7195439f9cd 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -113,7 +113,6 @@ object StreamingForeachBatchHelper extends Logging {
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
 
-      // TODO(SPARK-44460): Support Auth credentials
       // TODO(SPARK-44462): A new session id pointing to args.df.sparkSession needs to be created.
       //     This is because MicroBatch execution clones the session during start.
       //     The session attached to the foreachBatch dataframe is different from the one the one
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index cf61463cd6870..72037f1263dbf 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -51,7 +51,6 @@ def main(infile: IO, outfile: IO) -> None:
     spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
     spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
 
-    # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
 
     func = worker.read_command(pickle_ser, infile)
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index e1f4678e42f16..c026945767d94 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -59,7 +59,6 @@ def main(infile: IO, outfile: IO) -> None:
     spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
     spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
 
-    # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
 
     listener = worker.read_command(pickle_ser, infile)
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 4bf58bf7807b3..5069a76cfdb73 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -18,39 +18,31 @@
 import unittest
 import time
 
+import pyspark.cloudpickle
 from pyspark.sql.tests.streaming.test_streaming_listener import StreamingListenerTestsMixin
-from pyspark.sql.streaming.listener import StreamingQueryListener, QueryStartedEvent
-from pyspark.sql.types import StructType, StructField, StringType
+from pyspark.sql.streaming.listener import StreamingQueryListener
+from pyspark.sql.functions import count, lit
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
-def get_start_event_schema():
-    return StructType(
-        [
-            StructField("id", StringType(), True),
-            StructField("runId", StringType(), True),
-            StructField("name", StringType(), True),
-            StructField("timestamp", StringType(), True),
-        ]
-    )
-
-
 class TestListener(StreamingQueryListener):
     def onQueryStarted(self, event):
-        df = self.spark.createDataFrame(
-            data=[(str(event.id), str(event.runId), event.name, event.timestamp)],
-            schema=get_start_event_schema(),
-        )
-        df.write.saveAsTable("listener_start_events")
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_start_events")
 
     def onQueryProgress(self, event):
-        pass
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_progress_events")
 
     def onQueryIdle(self, event):
         pass
 
     def onQueryTerminated(self, event):
-        pass
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_terminated_events")
 
 
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
@@ -65,17 +57,36 @@ def test_listener_events(self):
             time.sleep(30)
 
             df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
-            q = df.writeStream.format("noop").queryName("test").start()
+            df_observe = df.observe("my_event", count(lit(1)).alias("rc"))
+            df_stateful = df_observe.groupBy().count()  # make query stateful
+            q = (
+                df_stateful.writeStream.format("noop")
+                .queryName("test")
+                .outputMode("complete")
+                .start()
+            )
 
             self.assertTrue(q.isActive)
             time.sleep(10)
+            self.assertTrue(q.lastProgress["batchId"] > 0)  # ensure at least one batch is ran
             q.stop()
+            self.assertFalse(q.isActive)
+
+            start_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_start_events").collect()[0][0]
+            )
+
+            progress_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_progress_events").collect()[0][0]
+            )
 
-            start_event = QueryStartedEvent.fromJson(
-                self.spark.read.table("listener_start_events").collect()[0].asDict()
+            terminated_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_terminated_events").collect()[0][0]
             )
 
             self.check_start_event(start_event)
+            self.check_progress_event(progress_event)
+            self.check_terminated_event(terminated_event)
 
         finally:
             self.spark.streams.removeListener(test_listener)
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
index d4e185c3d856d..65a0f6279fb08 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
@@ -16,10 +16,14 @@
 #
 
 import time
-
+from pyspark.sql.dataframe import DataFrame
 from pyspark.testing.sqlutils import ReusedSQLTestCase
 
 
+def my_test_function_1():
+    return 1
+
+
 class StreamingTestsForeachBatchMixin:
     def test_streaming_foreachBatch(self):
         q = None
@@ -88,6 +92,111 @@ def func(batch_df, _):
         q.stop()
         self.assertIsNone(q.exception(), "No exception has to be propagated.")
 
+    def test_streaming_foreachBatch_spark_session(self):
+        table_name = "testTable_foreachBatch"
+
+        def func(df: DataFrame, batch_id: int):
+            if batch_id > 0:  # only process once
+                return
+            spark = df.sparkSession
+            df1 = spark.createDataFrame([("structured",), ("streaming",)])
+            df1.union(df).write.mode("append").saveAsTable(table_name)
+
+        df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
+        q = df.writeStream.foreachBatch(func).start()
+        q.processAllAvailable()
+        q.stop()
+
+        actual = self.spark.read.table(table_name)
+        df = (
+            self.spark.read.format("text")
+            .load(path="python/test_support/sql/streaming/")
+            .union(self.spark.createDataFrame([("structured",), ("streaming",)]))
+        )
+        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
+
+    def test_streaming_foreachBatch_path_access(self):
+        table_name = "testTable_foreachBatch_path"
+
+        def func(df: DataFrame, batch_id: int):
+            if batch_id > 0:  # only process once
+                return
+            spark = df.sparkSession
+            df1 = spark.read.format("text").load("python/test_support/sql/streaming")
+            df1.union(df).write.mode("append").saveAsTable(table_name)
+
+        df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
+        q = df.writeStream.foreachBatch(func).start()
+        q.processAllAvailable()
+        q.stop()
+
+        actual = self.spark.read.table(table_name)
+        df = self.spark.read.format("text").load(path="python/test_support/sql/streaming/")
+        df = df.union(df)
+        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
+
+        # write to delta table?
+
+    @staticmethod
+    def my_test_function_2():
+        return 2
+
+    def test_streaming_foreachBatch_fuction_calling(self):
+        def my_test_function_3():
+            return 3
+
+        table_name = "testTable_foreachBatch_function"
+
+        def func(df: DataFrame, batch_id: int):
+            if batch_id > 0:  # only process once
+                return
+            spark = df.sparkSession
+            df1 = spark.createDataFrame(
+                [
+                    (my_test_function_1(),),
+                    (StreamingTestsForeachBatchMixin.my_test_function_2(),),
+                    (my_test_function_3(),),
+                ]
+            )
+            df1.write.mode("append").saveAsTable(table_name)
+
+        df = self.spark.readStream.format("rate").load()
+        q = df.writeStream.foreachBatch(func).start()
+        q.processAllAvailable()
+        q.stop()
+
+        actual = self.spark.read.table(table_name)
+        df = self.spark.createDataFrame(
+            [
+                (my_test_function_1(),),
+                (StreamingTestsForeachBatchMixin.my_test_function_2(),),
+                (my_test_function_3(),),
+            ]
+        )
+        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
+
+    def test_streaming_foreachBatch_import(self):
+        import time  # not imported in foreachBatch_worker
+
+        table_name = "testTable_foreachBatch_import"
+
+        def func(df: DataFrame, batch_id: int):
+            if batch_id > 0:  # only process once
+                return
+            time.sleep(1)
+            spark = df.sparkSession
+            df1 = spark.read.format("text").load("python/test_support/sql/streaming")
+            df1.write.mode("append").saveAsTable(table_name)
+
+        df = self.spark.readStream.format("rate").load()
+        q = df.writeStream.foreachBatch(func).start()
+        q.processAllAvailable()
+        q.stop()
+
+        actual = self.spark.read.table(table_name)
+        df = self.spark.read.format("text").load("python/test_support/sql/streaming")
+        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
+
 
 class StreamingTestsForeachBatch(StreamingTestsForeachBatchMixin, ReusedSQLTestCase):
     pass

From f90a4f82f37db5c4a55e6aebea3960f312f83e1c Mon Sep 17 00:00:00 2001
From: Wen Yuen Pang <wenyuen.pang@databricks.com>
Date: Thu, 24 Aug 2023 17:00:04 +0200
Subject: [PATCH 308/986] [SPARK-44934][SQL] Use outputSet instead of output to
 check if column pruning occurred in PushdownPredicateAndPruneColumnsForCTEDef

### What changes were proposed in this pull request?

Originally, when a CTE has duplicate expression IDs in its output, the rule PushdownPredicatesAndPruneColumnsForCTEDef wrongly assesses that the columns in the CTE were pruned, as it compares the size of the attribute set containing the union of columns (which is unique) and the original output of the CTE (which contains duplicate columns) and notices that the former is less than the latter. This causes incorrect pruning of the CTE output, resulting in a missing reference and causing the error as documented in the ticket.

This PR changes the logic to use the needsPruning function to assess whether a CTE has been pruned, which uses the outputSet to check if any columns has been pruned instead of the output.

### Why are the changes needed?

The incorrect behaviour of PushdownPredicatesAndPruneColumnsForCTEDef in CTEs with duplicate expression IDs in its output causes a crash when such a query is run.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit test for the crashing case was added.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42635 from wenyuen-db/SPARK-44934.

Authored-by: Wen Yuen Pang <wenyuen.pang@databricks.com>
Signed-off-by: Peter Toth <peter.toth@gmail.com>
(cherry picked from commit 3b405948ee47702e5a7250dc27430836145b0e19)
Signed-off-by: Peter Toth <peter.toth@gmail.com>
---
 ...wnPredicatesAndPruneColumnsForCTEDef.scala |  2 +-
 .../org/apache/spark/sql/CTEInlineSuite.scala | 33 +++++++++++++++++++
 2 files changed, 34 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
index f351ba0b39af9..e643a1af363a1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
@@ -143,7 +143,7 @@ object PushdownPredicatesAndPruneColumnsForCTEDef extends Rule[LogicalPlan] {
 
     case cteRef @ CTERelationRef(cteId, _, output, _) =>
       val (cteDef, _, _, newAttrSet) = cteMap(cteId)
-      if (newAttrSet.size < output.size) {
+      if (needsPruning(cteDef.child, newAttrSet)) {
         val indices = newAttrSet.toSeq.map(cteDef.output.indexOf)
         val newOutput = indices.map(output)
         cteRef.copy(output = newOutput)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
index eb141eaf3a946..5f6c44792658a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
@@ -645,6 +645,39 @@ abstract class CTEInlineSuiteBase
       }
     }
   }
+
+  test("SPARK-44934: CTE column pruning handles duplicate exprIds in CTE") {
+    withTempView("t") {
+      Seq((0, 1, 2), (1, 2, 3)).toDF("c1", "c2", "c3").createOrReplaceTempView("t")
+      val query =
+        """
+          |with cte as (
+          |  select c1, c1, c2, c3 from t where random() > 0
+          |)
+          |select cte.c1, cte2.c1, cte.c2, cte2.c3 from
+          |  (select c1, c2 from cte) cte
+          |    inner join
+          |  (select c1, c3 from cte) cte2
+          |    on cte.c1 = cte2.c1
+          """.stripMargin
+
+      val df = sql(query)
+      checkAnswer(df, Row(0, 0, 1, 2) :: Row(1, 1, 2, 3) :: Nil)
+      assert(
+        df.queryExecution.analyzed.collect {
+          case WithCTE(_, cteDefs) => cteDefs
+        }.head.length == 1,
+        "With-CTE should contain 1 CTE def after analysis.")
+      val cteRepartitions = df.queryExecution.optimizedPlan.collect {
+        case r: RepartitionOperation => r
+      }
+      assert(cteRepartitions.length == 2,
+        "CTE should not be inlined after optimization.")
+      assert(cteRepartitions.head.collectFirst {
+        case p: Project if p.projectList.length == 4 => p
+      }.isDefined, "CTE columns should not be pruned.")
+    }
+  }
 }
 
 class CTEInlineSuiteAEOff extends CTEInlineSuiteBase with DisableAdaptiveExecutionSuite

From 66af3b739e89785ec6d353ea678ae48d4d8e6389 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 24 Aug 2023 23:22:56 +0800
Subject: [PATCH 309/986] [SPARK-44941][SQL][TESTS] Turn off
 hive.conf.validation in tests

### What changes were proposed in this pull request?

This PR turns off hive.conf.validation in tests to remove the noisy HiveConf logs for removed Hive ConfVars. For example, a single test in hive.SQLQuerySuite repeats four times.

```java
[info] SQLQuerySuite:
14:49:45.855 WARN org.apache.spark.sql.internal.WithTestConf$$anon$4: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
14:49:45.983 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist
14:49:45.983 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.retries.wait does not exist
14:49:47.651 WARN org.apache.hadoop.hive.metastore.ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
14:49:47.651 WARN org.apache.hadoop.hive.metastore.ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore hzyaoqin127.0.0.1
14:49:47.656 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database default, returning NoSuchObjectException
14:49:47.922 WARN org.apache.hadoop.hive.ql.session.SessionState: METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
14:49:47.998 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.internal.ss.authz.settings.applied.marker does not exist
14:49:47.998 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist
14:49:47.998 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.retries.wait does not exist
14:49:48.003 WARN org.apache.hadoop.hive.metastore.HiveMetaStore: Location: file:/Users/hzyaoqin/spark/sql/hive/target/tmp/hive_execution_test_group/warehouse-cd8178a1-6b68-426f-aa19-d47d211df0c9/explodetest specified for non-external table:explodetest
14:49:49.264 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
14:49:49.408 WARN org.apache.spark.sql.internal.SQLConf: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
14:49:49.808 WARN org.apache.spark.sql.internal.WithTestConf$$anon$4: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
[info] - logical.Project should not be resolved if it contains aggregates or generators (6 seconds, 33 milliseconds)
14:49:49.997 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.internal.ss.authz.settings.applied.marker does not exist
14:49:49.997 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist

14:49:49.997 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.retries.wait does not exist

14:49:50.004 WARN org.apache.hadoop.hive.ql.session.SessionState: METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
14:49:50.113 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.internal.ss.authz.settings.applied.marker does not exist
14:49:50.113 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist
14:49:50.113 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.retries.wait does not exist
```

### Why are the changes needed?

The matcher for `org.apache.hadoop.hive.conf.HiveConf: HiveConf of name * does not exist` exceeds 5000 lines. It can be saved.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

run a simple hive test locally and see the log gone.

```
[info] SQLQuerySuite:
14:57:13.274 WARN org.apache.spark.sql.internal.WithTestConf$$anon$4: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
14:57:15.155 WARN org.apache.hadoop.hive.metastore.ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
14:57:15.155 WARN org.apache.hadoop.hive.metastore.ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore hzyaoqin127.0.0.1
14:57:15.162 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database default, returning NoSuchObjectException
14:57:15.419 WARN org.apache.hadoop.hive.ql.session.SessionState: METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
14:57:15.499 WARN org.apache.hadoop.hive.metastore.HiveMetaStore: Location: file:/Users/hzyaoqin/spark/sql/hive/target/tmp/hive_execution_test_group/warehouse-06b4c2ad-728d-4460-ada3-bc1f80b7be0b/explodetest specified for non-external table:explodetest
14:57:16.664 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
14:57:16.809 WARN org.apache.spark.sql.internal.SQLConf: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
14:57:17.199 WARN org.apache.spark.sql.internal.WithTestConf$$anon$4: The SQL config 'spark.sql.hive.convertCTAS' has been deprecated in Spark v3.1 and may be removed in the future. Set 'spark.sql.legacy.createHiveTableByDefault' to false instead.
[info] - logical.Project should not be resolved if it contains aggregates or generators (5 seconds, 953 milliseconds)
14:57:17.393 WARN org.apache.hadoop.hive.ql.session.SessionState: METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
[info] Run completed in 9 seconds, 203 milliseconds.
[info] Total number of tests run: 1
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 1, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
[success] Total time: 140 s (02:20), completed 2023-8-24 14:57:17
```

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42647 from yaooqinn/SPARK-44941.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit c6d4912341fdd70a145c5cf0d7fd1bfc36ede092)
Signed-off-by: Kent Yao <yao@apache.org>
---
 pom.xml                  | 1 +
 project/SparkBuild.scala | 1 +
 2 files changed, 2 insertions(+)

diff --git a/pom.xml b/pom.xml
index e550e16553d7c..f94b3b729c207 100644
--- a/pom.xml
+++ b/pom.xml
@@ -2999,6 +2999,7 @@
               <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>src</test.src.tables>
+              <hive.conf.validation>false</hive.conf.validation>
             </systemPropertyVariables>
             <failIfNoTests>false</failIfNoTests>
             <failIfNoSpecifiedTests>false</failIfNoSpecifiedTests>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 331ebe0c05a3d..4b6f617e68ff0 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1593,6 +1593,7 @@ object TestSettings {
     (Test / javaOptions) += "-Dspark.ui.showConsoleProgress=false",
     (Test / javaOptions) += "-Dspark.unsafe.exceptionOnMemoryLeak=true",
     (Test / javaOptions) += "-Dspark.hadoop.hadoop.security.key.provider.path=test:///",
+    (Test / javaOptions) += "-Dhive.conf.validation=false",
     (Test / javaOptions) += "-Dsun.io.serialization.extendedDebugInfo=false",
     (Test / javaOptions) += "-Dderby.system.durability=test",
     (Test / javaOptions) += "-Dio.netty.tryReflectionSetAccessible=true",

From 6c2da61b386d905d05437e68a4b945b5ee9a3e90 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 24 Aug 2023 10:35:20 -0700
Subject: [PATCH 310/986] Revert "[SPARK-44435][SS][CONNECT] Tests for
 foreachBatch and Listener"

This reverts commit 311a497224db4a00b5cdf928cba8ef30545ee911.
---
 .../planner/StreamingForeachBatchHelper.scala |   1 +
 .../streaming/worker/foreachBatch_worker.py   |   1 +
 .../streaming/worker/listener_worker.py       |   1 +
 .../connect/streaming/test_parity_listener.py |  57 ++++-----
 .../streaming/test_streaming_foreachBatch.py  | 111 +-----------------
 5 files changed, 27 insertions(+), 144 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index ef7195439f9cd..21e4adb9896b6 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -113,6 +113,7 @@ object StreamingForeachBatchHelper extends Logging {
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
 
+      // TODO(SPARK-44460): Support Auth credentials
       // TODO(SPARK-44462): A new session id pointing to args.df.sparkSession needs to be created.
       //     This is because MicroBatch execution clones the session during start.
       //     The session attached to the foreachBatch dataframe is different from the one the one
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
index 72037f1263dbf..cf61463cd6870 100644
--- a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
@@ -51,6 +51,7 @@ def main(infile: IO, outfile: IO) -> None:
     spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
     spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
 
+    # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
 
     func = worker.read_command(pickle_ser, infile)
diff --git a/python/pyspark/sql/connect/streaming/worker/listener_worker.py b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
index c026945767d94..e1f4678e42f16 100644
--- a/python/pyspark/sql/connect/streaming/worker/listener_worker.py
+++ b/python/pyspark/sql/connect/streaming/worker/listener_worker.py
@@ -59,6 +59,7 @@ def main(infile: IO, outfile: IO) -> None:
     spark_connect_session = SparkSession.builder.remote(connect_url).getOrCreate()
     spark_connect_session._client._session_id = session_id  # type: ignore[attr-defined]
 
+    # TODO(SPARK-44460): Pass credentials.
     # TODO(SPARK-44461): Enable Process Isolation
 
     listener = worker.read_command(pickle_ser, infile)
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 5069a76cfdb73..4bf58bf7807b3 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -18,31 +18,39 @@
 import unittest
 import time
 
-import pyspark.cloudpickle
 from pyspark.sql.tests.streaming.test_streaming_listener import StreamingListenerTestsMixin
-from pyspark.sql.streaming.listener import StreamingQueryListener
-from pyspark.sql.functions import count, lit
+from pyspark.sql.streaming.listener import StreamingQueryListener, QueryStartedEvent
+from pyspark.sql.types import StructType, StructField, StringType
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
+def get_start_event_schema():
+    return StructType(
+        [
+            StructField("id", StringType(), True),
+            StructField("runId", StringType(), True),
+            StructField("name", StringType(), True),
+            StructField("timestamp", StringType(), True),
+        ]
+    )
+
+
 class TestListener(StreamingQueryListener):
     def onQueryStarted(self, event):
-        e = pyspark.cloudpickle.dumps(event)
-        df = self.spark.createDataFrame(data=[(e,)])
-        df.write.mode("append").saveAsTable("listener_start_events")
+        df = self.spark.createDataFrame(
+            data=[(str(event.id), str(event.runId), event.name, event.timestamp)],
+            schema=get_start_event_schema(),
+        )
+        df.write.saveAsTable("listener_start_events")
 
     def onQueryProgress(self, event):
-        e = pyspark.cloudpickle.dumps(event)
-        df = self.spark.createDataFrame(data=[(e,)])
-        df.write.mode("append").saveAsTable("listener_progress_events")
+        pass
 
     def onQueryIdle(self, event):
         pass
 
     def onQueryTerminated(self, event):
-        e = pyspark.cloudpickle.dumps(event)
-        df = self.spark.createDataFrame(data=[(e,)])
-        df.write.mode("append").saveAsTable("listener_terminated_events")
+        pass
 
 
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
@@ -57,36 +65,17 @@ def test_listener_events(self):
             time.sleep(30)
 
             df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
-            df_observe = df.observe("my_event", count(lit(1)).alias("rc"))
-            df_stateful = df_observe.groupBy().count()  # make query stateful
-            q = (
-                df_stateful.writeStream.format("noop")
-                .queryName("test")
-                .outputMode("complete")
-                .start()
-            )
+            q = df.writeStream.format("noop").queryName("test").start()
 
             self.assertTrue(q.isActive)
             time.sleep(10)
-            self.assertTrue(q.lastProgress["batchId"] > 0)  # ensure at least one batch is ran
             q.stop()
-            self.assertFalse(q.isActive)
-
-            start_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_start_events").collect()[0][0]
-            )
-
-            progress_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_progress_events").collect()[0][0]
-            )
 
-            terminated_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_terminated_events").collect()[0][0]
+            start_event = QueryStartedEvent.fromJson(
+                self.spark.read.table("listener_start_events").collect()[0].asDict()
             )
 
             self.check_start_event(start_event)
-            self.check_progress_event(progress_event)
-            self.check_terminated_event(terminated_event)
 
         finally:
             self.spark.streams.removeListener(test_listener)
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
index 65a0f6279fb08..d4e185c3d856d 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
@@ -16,12 +16,8 @@
 #
 
 import time
-from pyspark.sql.dataframe import DataFrame
-from pyspark.testing.sqlutils import ReusedSQLTestCase
-
 
-def my_test_function_1():
-    return 1
+from pyspark.testing.sqlutils import ReusedSQLTestCase
 
 
 class StreamingTestsForeachBatchMixin:
@@ -92,111 +88,6 @@ def func(batch_df, _):
         q.stop()
         self.assertIsNone(q.exception(), "No exception has to be propagated.")
 
-    def test_streaming_foreachBatch_spark_session(self):
-        table_name = "testTable_foreachBatch"
-
-        def func(df: DataFrame, batch_id: int):
-            if batch_id > 0:  # only process once
-                return
-            spark = df.sparkSession
-            df1 = spark.createDataFrame([("structured",), ("streaming",)])
-            df1.union(df).write.mode("append").saveAsTable(table_name)
-
-        df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
-        q = df.writeStream.foreachBatch(func).start()
-        q.processAllAvailable()
-        q.stop()
-
-        actual = self.spark.read.table(table_name)
-        df = (
-            self.spark.read.format("text")
-            .load(path="python/test_support/sql/streaming/")
-            .union(self.spark.createDataFrame([("structured",), ("streaming",)]))
-        )
-        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
-
-    def test_streaming_foreachBatch_path_access(self):
-        table_name = "testTable_foreachBatch_path"
-
-        def func(df: DataFrame, batch_id: int):
-            if batch_id > 0:  # only process once
-                return
-            spark = df.sparkSession
-            df1 = spark.read.format("text").load("python/test_support/sql/streaming")
-            df1.union(df).write.mode("append").saveAsTable(table_name)
-
-        df = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
-        q = df.writeStream.foreachBatch(func).start()
-        q.processAllAvailable()
-        q.stop()
-
-        actual = self.spark.read.table(table_name)
-        df = self.spark.read.format("text").load(path="python/test_support/sql/streaming/")
-        df = df.union(df)
-        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
-
-        # write to delta table?
-
-    @staticmethod
-    def my_test_function_2():
-        return 2
-
-    def test_streaming_foreachBatch_fuction_calling(self):
-        def my_test_function_3():
-            return 3
-
-        table_name = "testTable_foreachBatch_function"
-
-        def func(df: DataFrame, batch_id: int):
-            if batch_id > 0:  # only process once
-                return
-            spark = df.sparkSession
-            df1 = spark.createDataFrame(
-                [
-                    (my_test_function_1(),),
-                    (StreamingTestsForeachBatchMixin.my_test_function_2(),),
-                    (my_test_function_3(),),
-                ]
-            )
-            df1.write.mode("append").saveAsTable(table_name)
-
-        df = self.spark.readStream.format("rate").load()
-        q = df.writeStream.foreachBatch(func).start()
-        q.processAllAvailable()
-        q.stop()
-
-        actual = self.spark.read.table(table_name)
-        df = self.spark.createDataFrame(
-            [
-                (my_test_function_1(),),
-                (StreamingTestsForeachBatchMixin.my_test_function_2(),),
-                (my_test_function_3(),),
-            ]
-        )
-        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
-
-    def test_streaming_foreachBatch_import(self):
-        import time  # not imported in foreachBatch_worker
-
-        table_name = "testTable_foreachBatch_import"
-
-        def func(df: DataFrame, batch_id: int):
-            if batch_id > 0:  # only process once
-                return
-            time.sleep(1)
-            spark = df.sparkSession
-            df1 = spark.read.format("text").load("python/test_support/sql/streaming")
-            df1.write.mode("append").saveAsTable(table_name)
-
-        df = self.spark.readStream.format("rate").load()
-        q = df.writeStream.foreachBatch(func).start()
-        q.processAllAvailable()
-        q.stop()
-
-        actual = self.spark.read.table(table_name)
-        df = self.spark.read.format("text").load("python/test_support/sql/streaming")
-        self.assertEqual(sorted(df.collect()), sorted(actual.collect()))
-
 
 class StreamingTestsForeachBatch(StreamingTestsForeachBatchMixin, ReusedSQLTestCase):
     pass

From 79c466c20a13d75a5f5e7424ac22271b3f23c0c7 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Thu, 24 Aug 2023 17:48:23 -0700
Subject: [PATCH 311/986] [SPARK-44820][DOCS] Switch languages consistently
 across docs for all code snippets

### What changes were proposed in this pull request?
The pr aims to fix bug for `Switch languages consistently across docs for all code snippets`.

### Why are the changes needed?
When a user chooses a different language for a code snippet, all code snippets on that page should switch to the chosen language. This was the behavior for, for example, Spark 2.0 doc: https://spark.apache.org/docs/2.0.0/structured-streaming-programming-guide.html
But it was broken for later docs, for example the Spark 3.4.1 doc: https://spark.apache.org/docs/latest/quick-start.html
We should fix this behavior change and possibly add test cases to prevent future regressions.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually test:
```
cd docs
SKIP_API=1 bundle exec jekyll serve --watch
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42657 from panbingkun/SPARK-44820.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 4748d858b4478ea7503b792050d4735eae83b3cd)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/js/main.js | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/docs/js/main.js b/docs/js/main.js
index 8426ddc781882..9743414655601 100755
--- a/docs/js/main.js
+++ b/docs/js/main.js
@@ -65,12 +65,21 @@ function codeTabs() {
 
       tabBar.append(
         '<li class="nav-item"><button class="' +
-        active + 'nav-link tab_' + lang + '" data-bs-target="#' + id +
-        '" data-bs-toggle="tab">' + buttonLabel + '</button></li>'
+        active + 'nav-link tab_' + lang + '" data-bs-target="#' +
+        id + '" data-tab-lang="tab_' + lang + '" data-bs-toggle="tab">' +
+        buttonLabel + '</button></li>'
       );
     });
     counter++;
   });
+  $("ul.nav-tabs button").click(function (e) {
+    // Toggling a tab should switch all tabs corresponding to the same language
+    // while retaining the scroll position
+    e.preventDefault();
+    var scrollOffset = $(this).offset().top - $(document).scrollTop();
+    $("." + $(this).attr('data-tab-lang')).tab('show');
+    $(document).scrollTop($(this).offset().top - scrollOffset);
+  });
 }
 
 

From bd076eb2364a27d4e22c6767aff2e43c093bacd1 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Thu, 24 Aug 2023 19:31:48 -0700
Subject: [PATCH 312/986] [SPARK-44822][PYTHON][FOLLOW-UP] Make Python UDTFs by
 default non-deterministic

### What changes were proposed in this pull request?

This PR is a follow up for SPARK-44822. It modifies one more default value for Python UDTF to make it by default non-deterministic.

### Why are the changes needed?

To prevent future issues.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42665 from allisonwang-db/spark-44822-follow-up.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 492064dd95eaa50bd30c363c97d3a703fd39c872)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/udtf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/udtf.py b/python/pyspark/sql/udtf.py
index c345df1aaabfd..7e056589b7d54 100644
--- a/python/pyspark/sql/udtf.py
+++ b/python/pyspark/sql/udtf.py
@@ -44,7 +44,7 @@ def _create_udtf(
     returnType: Union[StructType, str],
     name: Optional[str] = None,
     evalType: int = PythonEvalType.SQL_TABLE_UDF,
-    deterministic: bool = True,
+    deterministic: bool = False,
 ) -> "UserDefinedTableFunction":
     """Create a Python UDTF with the given eval type."""
     udtf_obj = UserDefinedTableFunction(

From e8405a7da2ac1eee122909742a337ca4087ceaf3 Mon Sep 17 00:00:00 2001
From: Frank Yin <franky@ziprecruiter.com>
Date: Thu, 24 Aug 2023 22:19:41 -0700
Subject: [PATCH 313/986] [SPARK-44547][CORE] Ignore fallback storage for
 cached RDD migration

### What changes were proposed in this pull request?

Fix bugs that makes the RDD decommissioner never finish

### Why are the changes needed?

The cached RDD decommissioner is in a forever retry loop when the only viable peer is the fallback storage, which it doesn't know how to handle.

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

Tests are added and tested using Spark jobs.

Closes #42155 from ukby1234/franky.SPARK-44547.

Authored-by: Frank Yin <franky@ziprecruiter.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 47555da2ae292b07488ba181db1aceac8e7ddb3a)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../storage/BlockManagerDecommissioner.scala  |  4 +--
 .../BlockManagerDecommissionUnitSuite.scala   | 35 ++++++++++++++++++-
 2 files changed, 36 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManagerDecommissioner.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerDecommissioner.scala
index e871ad4192fe3..59d1f3b4c4bad 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManagerDecommissioner.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerDecommissioner.scala
@@ -187,7 +187,7 @@ private[storage] class BlockManagerDecommissioner(
 
   // Set if we encounter an error attempting to migrate and stop.
   @volatile private var stopped = false
-  @volatile private var stoppedRDD =
+  @volatile private[storage] var stoppedRDD =
     !conf.get(config.STORAGE_DECOMMISSION_RDD_BLOCKS_ENABLED)
   @volatile private var stoppedShuffle =
     !conf.get(config.STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED)
@@ -207,7 +207,7 @@ private[storage] class BlockManagerDecommissioner(
       logInfo("Attempting to migrate all RDD blocks")
       while (!stopped && !stoppedRDD) {
         // Validate if we have peers to migrate to. Otherwise, give up migration.
-        if (bm.getPeers(false).isEmpty) {
+        if (!bm.getPeers(false).exists(_ != FallbackStorage.FALLBACK_BLOCK_MANAGER_ID)) {
           logWarning("No available peers to receive RDD blocks, stop migration.")
           stoppedRDD = true
         } else {
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionUnitSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionUnitSuite.scala
index df4f256afb613..67a4514d5bda9 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionUnitSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionUnitSuite.scala
@@ -23,7 +23,7 @@ import scala.concurrent.Future
 import scala.concurrent.duration._
 
 import org.mockito.{ArgumentMatchers => mc}
-import org.mockito.Mockito.{atLeast => least, mock, times, verify, when}
+import org.mockito.Mockito.{atLeast => least, mock, never, times, verify, when}
 import org.scalatest.concurrent.Eventually._
 import org.scalatest.matchers.must.Matchers
 
@@ -350,4 +350,37 @@ class BlockManagerDecommissionUnitSuite extends SparkFunSuite with Matchers {
         bmDecomManager.stop()
     }
   }
+
+  test("SPARK-44547: test cached rdd migration no available hosts") {
+    val blockTransferService = mock(classOf[BlockTransferService])
+    val bm = mock(classOf[BlockManager])
+
+    val storedBlockId1 = RDDBlockId(0, 0)
+    val storedBlock1 =
+      new ReplicateBlock(storedBlockId1, Seq(BlockManagerId("replicaHolder", "host1", bmPort)), 1)
+
+    val migratableShuffleBlockResolver = mock(classOf[MigratableResolver])
+    registerShuffleBlocks(migratableShuffleBlockResolver, Set())
+    when(bm.getPeers(mc.any()))
+      .thenReturn(Seq(FallbackStorage.FALLBACK_BLOCK_MANAGER_ID))
+
+    when(bm.blockTransferService).thenReturn(blockTransferService)
+    when(bm.migratableResolver).thenReturn(migratableShuffleBlockResolver)
+    when(bm.getMigratableRDDBlocks())
+      .thenReturn(Seq(storedBlock1))
+
+    val bmDecomManager = new BlockManagerDecommissioner(sparkConf, bm)
+
+    try {
+      bmDecomManager.start()
+      eventually(timeout(100.second), interval(10.milliseconds)) {
+        verify(bm, never()).replicateBlock(
+          mc.eq(storedBlockId1), mc.any(), mc.any(), mc.eq(Some(3)))
+        assert(bmDecomManager.rddBlocksLeft)
+        assert(bmDecomManager.stoppedRDD)
+      }
+    } finally {
+      bmDecomManager.stop()
+    }
+  }
 }

From e98657887871884501ff84c7b0412d1d2d345e67 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 25 Aug 2023 15:39:37 +0900
Subject: [PATCH 314/986] [SPARK-44957][PYTHON][SQL][TESTS] Make PySpark
 (pyspark-sql module) tests passing without any dependency

### What changes were proposed in this pull request?

This PR proposes to fix the tests to properly run or skip when there aren't optional dependencies installed.

### Why are the changes needed?

Currently, it fails as below:

```
Running PySpark tests. Output is in /.../spark/python/unit-tests.log
Will test against the following Python executables: ['python3']
Will test the following Python modules: ['pyspark-sql']
python3 python_implementation is CPython
python3 version is: Python 3.10.12
Starting test(python3): pyspark.sql.tests.pandas.test_pandas_grouped_map_with_state (temp output: /.../spark/python/target/8e530108-4d5e-46e4-88fb-8f0dfb7b47e2/python3__pyspark.sql.tests.pandas.test_pandas_grouped_map_with_state__jggatex7.log)
Starting test(python3): pyspark.sql.tests.pandas.test_pandas_grouped_map (temp output: /.../spark/python/target/3b6e9e5a-c479-408c-9365-8286330e8e7c/python3__pyspark.sql.tests.pandas.test_pandas_grouped_map__1lrovmur.log)
Starting test(python3): pyspark.sql.tests.pandas.test_pandas_cogrouped_map (temp output: /.../spark/python/target/68c7cf56-ed7a-453e-8d6d-3a0eb519d997/python3__pyspark.sql.tests.pandas.test_pandas_cogrouped_map__sw2875dr.log)
Starting test(python3): pyspark.sql.tests.pandas.test_pandas_map (temp output: /.../spark/python/target/90712186-a104-4491-ae0d-2b5ab973991b/python3__pyspark.sql.tests.pandas.test_pandas_map__ysp4911q.log)
Traceback (most recent call last):
  File "/.../miniconda3/envs/vanilla-3.10/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/.../miniconda3/envs/vanilla-3.10/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/.../workspace/forked/spark/python/pyspark/sql/tests/pandas/test_pandas_map.py", line 27, in <module>
    from pyspark.testing.sqlutils import (
  File "/.../workspace/forked/spark/python/pyspark/testing/__init__.py", line 19, in <module>
    from pyspark.testing.pandasutils import assertPandasOnSparkEqual
  File "/.../workspace/forked/spark/python/pyspark/testing/pandasutils.py", line 22, in <module>
    import pandas as pd
ModuleNotFoundError: No module named 'pandas'
```

PySpark tests should pass without optional dependencies.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Manually ran as described above.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42670 from HyukjinKwon/SPARK-44957.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit fb45476d58c7936518cea1b9510145ecd5ec6fd1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/functions.py        | 24 +++++++-----------------
 python/pyspark/sql/tests/test_arrow.py |  6 ++++--
 python/pyspark/testing/pandasutils.py  | 10 ++++++++--
 3 files changed, 19 insertions(+), 21 deletions(-)

diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 398ad15676cf0..aaf4823b3e1d6 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -7778,9 +7778,6 @@ def to_unix_timestamp(
 
     .. versionadded:: 3.5.0
 
-    .. versionchanged:: 3.5.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
@@ -7819,9 +7816,6 @@ def to_timestamp_ltz(
 
     .. versionadded:: 3.5.0
 
-    .. versionchanged:: 3.5.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
@@ -7831,17 +7825,15 @@ def to_timestamp_ltz(
 
     Examples
     --------
-    >>> spark.conf.set("spark.sql.session.timeZone", "UTC")
     >>> df = spark.createDataFrame([("2016-12-31",)], ["e"])
     >>> df.select(to_timestamp_ltz(df.e, lit("yyyy-MM-dd")).alias('r')).collect()
+    ... # doctest: +SKIP
     [Row(r=datetime.datetime(2016, 12, 31, 0, 0))]
-    >>> spark.conf.unset("spark.sql.session.timeZone")
 
-    >>> spark.conf.set("spark.sql.session.timeZone", "UTC")
     >>> df = spark.createDataFrame([("2016-12-31",)], ["e"])
     >>> df.select(to_timestamp_ltz(df.e).alias('r')).collect()
+    ... # doctest: +SKIP
     [Row(r=datetime.datetime(2016, 12, 31, 0, 0))]
-    >>> spark.conf.unset("spark.sql.session.timeZone")
     """
     if format is not None:
         return _invoke_function_over_columns("to_timestamp_ltz", timestamp, format)
@@ -7860,9 +7852,6 @@ def to_timestamp_ntz(
 
     .. versionadded:: 3.5.0
 
-    .. versionchanged:: 3.5.0
-        Supports Spark Connect.
-
     Parameters
     ----------
     timestamp : :class:`~pyspark.sql.Column` or str
@@ -7872,17 +7861,15 @@ def to_timestamp_ntz(
 
     Examples
     --------
-    >>> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
     >>> df = spark.createDataFrame([("2016-04-08",)], ["e"])
     >>> df.select(to_timestamp_ntz(df.e, lit("yyyy-MM-dd")).alias('r')).collect()
+    ... # doctest: +SKIP
     [Row(r=datetime.datetime(2016, 4, 8, 0, 0))]
-    >>> spark.conf.unset("spark.sql.session.timeZone")
 
-    >>> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
     >>> df = spark.createDataFrame([("2016-04-08",)], ["e"])
     >>> df.select(to_timestamp_ntz(df.e).alias('r')).collect()
+    ... # doctest: +SKIP
     [Row(r=datetime.datetime(2016, 4, 8, 0, 0))]
-    >>> spark.conf.unset("spark.sql.session.timeZone")
     """
     if format is not None:
         return _invoke_function_over_columns("to_timestamp_ntz", timestamp, format)
@@ -14447,13 +14434,16 @@ def call_function(funcName: str, *cols: "ColumnOrName") -> Column:
     |    2.0|
     +-------+
     >>> _ = spark.sql("CREATE FUNCTION custom_avg AS 'test.org.apache.spark.sql.MyDoubleAvg'")
+    ... # doctest: +SKIP
     >>> df.select(call_function("custom_avg", col("id"))).show()
+    ... # doctest: +SKIP
     +------------------------------------+
     |spark_catalog.default.custom_avg(id)|
     +------------------------------------+
     |                               102.0|
     +------------------------------------+
     >>> df.select(call_function("spark_catalog.default.custom_avg", col("id"))).show()
+    ... # doctest: +SKIP
     +------------------------------------+
     |spark_catalog.default.custom_avg(id)|
     +------------------------------------+
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index ac45c4c565fa6..1b81ed72b22b2 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -24,8 +24,6 @@
 from distutils.version import LooseVersion
 from typing import cast
 
-import numpy as np
-
 from pyspark import SparkContext, SparkConf
 from pyspark.sql import Row, SparkSession
 from pyspark.sql.functions import rand, udf, assert_true, lit
@@ -183,6 +181,8 @@ def create_pandas_data_frame(self):
 
     @property
     def create_np_arrs(self):
+        import numpy as np
+
         int_dtypes = ["int8", "int16", "int32", "int64"]
         float_dtypes = ["float32", "float64"]
         return (
@@ -584,6 +584,8 @@ def test_createDataFrame_with_ndarray(self):
                 self.check_createDataFrame_with_ndarray(arrow_enabled)
 
     def check_createDataFrame_with_ndarray(self, arrow_enabled):
+        import numpy as np
+
         dtypes = ["tinyint", "smallint", "int", "bigint", "float", "double"]
         expected_dtypes = (
             [[("value", t)] for t in dtypes]
diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 1122944b2c08a..c80ffb7ee53cb 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -19,11 +19,10 @@
 import shutil
 import tempfile
 import warnings
-import pandas as pd
 from contextlib import contextmanager
 from distutils.version import LooseVersion
 import decimal
-from typing import Any, Union
+from typing import Any, Union, TYPE_CHECKING
 
 import pyspark.pandas as ps
 from pyspark.pandas.frame import DataFrame
@@ -57,6 +56,13 @@
     plotly_requirement_message = str(e)
 have_plotly = plotly_requirement_message is None
 
+try:
+    from pyspark.sql.pandas.utils import require_minimum_pandas_version
+
+    require_minimum_pandas_version()
+    import pandas as pd
+except ImportError:
+    pass
 
 __all__ = ["assertPandasOnSparkEqual"]
 

From cf3d10156ff86e1b0c27cdc5706b345e84867cf9 Mon Sep 17 00:00:00 2001
From: xianyangliu <xianyangliu@tencent.com>
Date: Fri, 25 Aug 2023 15:01:35 +0800
Subject: [PATCH 315/986] [SPARK-44930][SQL] Deterministic
 ApplyFunctionExpression should be foldable

### What changes were proposed in this pull request?

Currently, ApplyFunctionExpression is unfoldable because inherits the default value from Expression.  However, it should be foldable for a deterministic ApplyFunctionExpression.

### Why are the changes needed?

This could help optimize the usage for V2 UDF applying to constant expressions.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

New UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42629 from ConeyLiu/constant-fold-v2-udf.

Authored-by: xianyangliu <xianyangliu@tencent.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 994389f42a40d292a72482e3d76d29bada82d8ec)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../expressions/ApplyFunctionExpression.scala |  1 +
 .../connector/DataSourceV2FunctionSuite.scala | 22 ++++++++++---------
 2 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ApplyFunctionExpression.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ApplyFunctionExpression.scala
index da4000f53e3e8..a1815cf3b3d40 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ApplyFunctionExpression.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ApplyFunctionExpression.scala
@@ -33,6 +33,7 @@ case class ApplyFunctionExpression(
   override def inputTypes: Seq[AbstractDataType] = function.inputTypes().toSeq
   override lazy val deterministic: Boolean = function.isDeterministic &&
       children.forall(_.deterministic)
+  override def foldable: Boolean = deterministic && children.forall(_.foldable)
 
   private lazy val reusedRow = new SpecificInternalRow(function.inputTypes())
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2FunctionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2FunctionSuite.scala
index 32391eac9a8ee..b74d7318a9294 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2FunctionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2FunctionSuite.scala
@@ -24,7 +24,6 @@ import test.org.apache.spark.sql.connector.catalog.functions.JavaLongAdd._
 import test.org.apache.spark.sql.connector.catalog.functions.JavaRandomAdd._
 import test.org.apache.spark.sql.connector.catalog.functions.JavaStrLen._
 
-import org.apache.spark.SparkException
 import org.apache.spark.sql.{AnalysisException, DataFrame, Row}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode.{FALLBACK, NO_CODEGEN}
@@ -322,14 +321,7 @@ class DataSourceV2FunctionSuite extends DatasourceV2SQLBase {
   test("scalar function: bad magic method") {
     catalog("testcat").asInstanceOf[SupportsNamespaces].createNamespace(Array("ns"), emptyProps)
     addFunction(Identifier.of(Array("ns"), "strlen"), StrLen(StrLenBadMagic))
-    // TODO assign a error-classes name
-    checkError(
-      exception = intercept[SparkException] {
-        sql("SELECT testcat.ns.strlen('abc')").collect()
-      },
-      errorClass = null,
-      parameters = Map.empty
-    )
+    intercept[UnsupportedOperationException](sql("SELECT testcat.ns.strlen('abc')").collect())
   }
 
   test("scalar function: bad magic method with default impl") {
@@ -341,7 +333,7 @@ class DataSourceV2FunctionSuite extends DatasourceV2SQLBase {
   test("scalar function: no implementation found") {
     catalog("testcat").asInstanceOf[SupportsNamespaces].createNamespace(Array("ns"), emptyProps)
     addFunction(Identifier.of(Array("ns"), "strlen"), StrLen(StrLenNoImpl))
-    intercept[SparkException](sql("SELECT testcat.ns.strlen('abc')").collect())
+    intercept[UnsupportedOperationException](sql("SELECT testcat.ns.strlen('abc')").collect())
   }
 
   test("scalar function: invalid parameter type or length") {
@@ -688,6 +680,16 @@ class DataSourceV2FunctionSuite extends DatasourceV2SQLBase {
     }
   }
 
+  test("SPARK-44930: Fold deterministic ApplyFunctionExpression") {
+    catalog("testcat").asInstanceOf[SupportsNamespaces].createNamespace(Array("ns"), emptyProps)
+    addFunction(Identifier.of(Array("ns"), "strlen"), StrLen(StrLenDefault))
+
+    val df1 = sql("SELECT testcat.ns.strlen('abc') as col1")
+    val df2 = sql("SELECT 3 as col1")
+    comparePlans(df1.queryExecution.optimizedPlan, df2.queryExecution.optimizedPlan)
+    checkAnswer(df1, Row(3) :: Nil)
+  }
+
   private case object StrLenDefault extends ScalarFunction[Int] {
     override def inputTypes(): Array[DataType] = Array(StringType)
     override def resultType(): DataType = IntegerType

From 074c92f35efb8f9e094625e361012caf090dce57 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Fri, 25 Aug 2023 01:59:15 -0700
Subject: [PATCH 316/986] [SPARK-44840][SQL][FOLLOWUP] Change the version from
 3.5.0 to 3.4.2 for `spark.sql.legacy.negativeIndexInArrayInsert`

### What changes were proposed in this pull request?
After the PR https://github.com/apache/spark/pull/42655, the earliest version when the SQL config `spark.sql.legacy.negativeIndexInArrayInsert` appears is `3.4.2`. This PR update configs version according to the recent changes.

### Why are the changes needed?
To don't confuse users. The doc should contain actual info with the earliest version.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
By CI.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42681 from MaxGekk/fix-array_insert-followup.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit bf3bef1664f431d5e951b9f6682b3df57c6a0143)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/scala/org/apache/spark/sql/internal/SQLConf.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 4dc8a38a1960b..2e0ce7c4dea9d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4339,7 +4339,7 @@ object SQLConf {
         "for the index -1. For example, `array_insert(['a', 'b'], -1, 'x')` returns " +
         "`['a', 'x', 'b']`. When set to false, the -1 index points out to the last element, " +
         "and the given example produces `['a', 'b', 'x']`.")
-      .version("3.5.0")
+      .version("3.4.2")
       .booleanConf
       .createWithDefault(false)
 

From 2a66771b45a7729143ddc45da5dcf095820fd80d Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Sat, 26 Aug 2023 17:31:09 +0800
Subject: [PATCH 317/986] [SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to
 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 4f8a1991e793bba2a6620760b6ee2cdc8f3ff21d)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 8f898fc1ef556..b6aba589d5f0b 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -98,7 +98,7 @@ httpclient/4.5.14//httpclient-4.5.14.jar
 httpcore/4.4.16//httpcore-4.4.16.jar
 ini4j/0.5.4//ini4j-0.5.4.jar
 istack-commons-runtime/3.0.8//istack-commons-runtime-3.0.8.jar
-ivy/2.5.2//ivy-2.5.2.jar
+ivy/2.5.1//ivy-2.5.1.jar
 jackson-annotations/2.15.2//jackson-annotations-2.15.2.jar
 jackson-core-asl/1.9.13//jackson-core-asl-1.9.13.jar
 jackson-core/2.15.2//jackson-core-2.15.2.jar
diff --git a/pom.xml b/pom.xml
index f94b3b729c207..154ca4005f6c5 100644
--- a/pom.xml
+++ b/pom.xml
@@ -146,7 +146,11 @@
     <jetty.version>9.4.51.v20230217</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>
     <chill.version>0.10.0</chill.version>
-    <ivy.version>2.5.2</ivy.version>
+    <!--
+      SPARK-44968: don't upgrade Ivy to version 2.5.2 until the test aborted of
+      `HiveExternalCatalogVersionsSuite` in Java 11/17 daily tests is resolved.
+    -->
+    <ivy.version>2.5.1</ivy.version>
     <oro.version>2.0.8</oro.version>
     <!--
     If you changes codahale.metrics.version, you also need to change

From fa2e53f6105c60effdf210cab4c8d77f13fee6b6 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Sun, 27 Aug 2023 11:28:58 +0800
Subject: [PATCH 318/986] [SPARK-44784][CONNECT] Make SBT testing hermetic

### What changes were proposed in this pull request?
This PR makes a bunch of changes to connect testing for the scala client:
- We do not start the connect server with the `SPARK_DIST_CLASSPATH ` environment variable. This is set by the build system, but its value for SBT and Maven is different. For SBT it also contained the client code.
- We use dependency upload to add the dependencies needed for the tests. Currently this entails: the compiled test classes (class files), scalatest jars, and scalactic jars.
- The use of classfile sync unearthed an issue with stubbing and the `ExecutorClassLoader`. If they load classes in the same namespace then stubbing will generate stubs for classes that can be loaded by the `ExecutorClassLoader`. Since this is mostly a testing issue I decided to move the test code to a different namespace. We should definitely fix this later on.
- A bunch of tiny fixes.

### Why are the changes needed?
SBT testing for connect leaked client side code into the server. This is a problem because tests pass and we sign-off on features that do not work when well in a normal environment. Stubbing was an example of this. Maven did not have this problem and was therefore more correct.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
It are mostly tests.

### Was this patch authored or co-authored using generative AI tooling?
No. I write my own code thank you...

Closes #42591 from hvanhovell/investigate-stubbing.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 9326615592eac14c7cab3dd126b3c21222b7778f)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 connector/connect/bin/spark-connect-build     |   6 +-
 .../connect/bin/spark-connect-scala-client    |   2 +-
 .../bin/spark-connect-scala-client-classpath  |   3 +-
 connector/connect/client/jvm/pom.xml          |   5 -
 .../spark/sql/connect/client/ToStub.scala     |  23 ++
 .../apache/spark/sql/JavaEncoderSuite.java    |  12 +-
 .../org/apache/spark/sql/CatalogSuite.scala   |   2 +-
 .../spark/sql/ClientDataFrameStatSuite.scala  |   2 +-
 .../apache/spark/sql/ClientDatasetSuite.scala |   2 +-
 .../apache/spark/sql/ClientE2ETestSuite.scala |   4 +-
 .../apache/spark/sql/ColumnTestSuite.scala    |   2 +-
 .../spark/sql/DataFrameNaFunctionSuite.scala  |   2 +-
 .../apache/spark/sql/FunctionTestSuite.scala  |   2 +-
 .../KeyValueGroupedDatasetE2ETestSuite.scala  |   2 +-
 .../spark/sql/PlanGenerationTestSuite.scala   |   3 +-
 .../spark/sql/SQLImplicitsTestSuite.scala     |   2 +-
 .../spark/sql/SparkSessionE2ESuite.scala      |   2 +-
 .../apache/spark/sql/SparkSessionSuite.scala  |   2 +-
 .../apache/spark/sql/StubbingTestSuite.scala  |  37 +++
 .../client => }/UDFClassLoadingE2ESuite.scala |   5 +-
 .../sql/UserDefinedFunctionE2ETestSuite.scala |  16 +-
 .../spark/sql/UserDefinedFunctionSuite.scala  |   2 +-
 .../spark/sql/application/ReplE2ESuite.scala  |   2 +-
 .../sql/connect/client/ArtifactSuite.scala    |   2 +-
 .../CheckConnectJvmClientCompatibility.scala  |   2 +-
 .../sql/connect/client/ClassFinderSuite.scala |   2 +-
 ...rkConnectClientBuilderParseTestSuite.scala |   2 +-
 .../client/SparkConnectClientSuite.scala      |   2 +-
 .../client/arrow/ArrowEncoderSuite.scala      |   2 +-
 .../client/util/RemoteSparkSession.scala      | 228 ------------------
 .../streaming/ClientStreamingQuerySuite.scala |   4 +-
 ...FlatMapGroupsWithStateStreamingSuite.scala |   4 +-
 .../StreamingQueryProgressSuite.scala         |   2 +-
 .../util => test}/ConnectFunSuite.scala       |   2 +-
 .../util => test}/IntegrationTestUtils.scala  |  22 +-
 .../client/util => test}/QueryTest.scala      |   2 +-
 .../spark/sql/test/RemoteSparkSession.scala   | 224 +++++++++++++++++
 .../spark/sql/{ => test}/SQLHelper.scala      |   3 +-
 .../sql/connect/client/ArtifactManager.scala  |  20 +-
 .../sql/connect/client/GrpcRetryHandler.scala |   4 +-
 .../connect/client/SparkConnectClient.scala   |   2 +-
 .../sql/connect/common/ProtoDataTypes.scala   |   2 +-
 .../connect/common/config/ConnectCommon.scala |   2 +-
 .../SparkConnectArtifactManager.scala         |  40 ++-
 .../apache/spark/util/StubClassLoader.scala   |   5 +-
 project/SparkBuild.scala                      |   1 -
 46 files changed, 404 insertions(+), 315 deletions(-)
 create mode 100644 connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ToStub.scala
 create mode 100644 connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/StubbingTestSuite.scala
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{connect/client => }/UDFClassLoadingE2ESuite.scala (94%)
 delete mode 100644 connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{connect/client/util => test}/ConnectFunSuite.scala (97%)
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{connect/client/util => test}/IntegrationTestUtils.scala (87%)
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{connect/client/util => test}/QueryTest.scala (99%)
 create mode 100644 connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
 rename connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/{ => test}/SQLHelper.scala (97%)

diff --git a/connector/connect/bin/spark-connect-build b/connector/connect/bin/spark-connect-build
index ca8d4cf6e9005..63c17d8f7aa06 100755
--- a/connector/connect/bin/spark-connect-build
+++ b/connector/connect/bin/spark-connect-build
@@ -29,7 +29,5 @@ SCALA_BINARY_VER=`grep "scala.binary.version" "${SPARK_HOME}/pom.xml" | head -n1
 SCALA_VER=`grep "scala.version" "${SPARK_HOME}/pom.xml" | grep ${SCALA_BINARY_VER} | head -n1 | awk -F '[<>]' '{print $3}'`
 SCALA_ARG="-Pscala-${SCALA_BINARY_VER}"
 
-# Build the jars needed for spark submit and spark connect
-build/sbt "${SCALA_ARG}" -Phive -Pconnect package || exit 1
-# Build the jars needed for spark connect JVM client
-build/sbt "${SCALA_ARG}" "sql/package;connect-client-jvm/assembly" || exit 1
+# Build the jars needed for spark submit and spark connect JVM client
+build/sbt "${SCALA_ARG}" -Phive -Pconnect package "connect-client-jvm/package" || exit 1
diff --git a/connector/connect/bin/spark-connect-scala-client b/connector/connect/bin/spark-connect-scala-client
index ef394df4e0f25..ffa77f708421f 100755
--- a/connector/connect/bin/spark-connect-scala-client
+++ b/connector/connect/bin/spark-connect-scala-client
@@ -45,7 +45,7 @@ SCALA_ARG="-Pscala-${SCALA_BINARY_VER}"
 SCBUILD="${SCBUILD:-1}"
 if [ "$SCBUILD" -eq "1" ]; then
   # Build the jars needed for spark connect JVM client
-  build/sbt "${SCALA_ARG}" "sql/package;connect-client-jvm/assembly" || exit 1
+  build/sbt "${SCALA_ARG}" "connect-client-jvm/package" || exit 1
 fi
 
 if [ -z "$SCCLASSPATH" ]; then
diff --git a/connector/connect/bin/spark-connect-scala-client-classpath b/connector/connect/bin/spark-connect-scala-client-classpath
index 99a22f3d5ffeb..9d33e90bf09cb 100755
--- a/connector/connect/bin/spark-connect-scala-client-classpath
+++ b/connector/connect/bin/spark-connect-scala-client-classpath
@@ -30,6 +30,5 @@ SCALA_VER=`grep "scala.version" "${SPARK_HOME}/pom.xml" | grep ${SCALA_BINARY_VE
 SCALA_ARG="-Pscala-${SCALA_BINARY_VER}"
 
 CONNECT_CLASSPATH="$(build/sbt "${SCALA_ARG}" -DcopyDependencies=false "export connect-client-jvm/fullClasspath" | grep jar | tail -n1)"
-SQL_CLASSPATH="$(build/sbt "${SCALA_ARG}" -DcopyDependencies=false "export sql/fullClasspath" | grep jar | tail -n1)"
 
-echo "$CONNECT_CLASSPATH:$CLASSPATH"
+echo "$CONNECT_CLASSPATH"
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4ea3ef1e48ba4..a7e5c5c2bab83 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -113,11 +113,6 @@
       <artifactId>scalacheck_${scala.binary.version}</artifactId>
       <scope>test</scope>
     </dependency>
-    <dependency>
-      <groupId>org.mockito</groupId>
-      <artifactId>mockito-core</artifactId>
-      <scope>test</scope>
-    </dependency>
     <!-- Use mima to perform the compatibility check -->
     <dependency>
       <groupId>com.typesafe</groupId>
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ToStub.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ToStub.scala
new file mode 100644
index 0000000000000..9a5fda1189d2d
--- /dev/null
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/ToStub.scala
@@ -0,0 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.client
+
+/**
+ * Class used to test stubbing. This needs to be in the main source tree, because this is not
+ * synced with the connect server during tests.
+ */
+case class ToStub(value: Long)
diff --git a/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
index 6e5fb72d4964b..d5fdede774f47 100644
--- a/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
+++ b/connector/connect/client/jvm/src/test/java/org/apache/spark/sql/JavaEncoderSuite.java
@@ -27,9 +27,8 @@
 import static org.apache.spark.sql.Encoders.*;
 import static org.apache.spark.sql.functions.*;
 import static org.apache.spark.sql.RowFactory.create;
-import org.apache.spark.sql.connect.client.SparkConnectClient;
-import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils;
 import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.test.SparkConnectServerUtils;
 import org.apache.spark.sql.types.StructType;
 
 /**
@@ -40,14 +39,7 @@ public class JavaEncoderSuite implements Serializable {
 
   @BeforeClass
   public static void setup() {
-    SparkConnectServerUtils.start();
-    spark = SparkSession
-        .builder()
-        .client(SparkConnectClient
-            .builder()
-            .port(SparkConnectServerUtils.port())
-            .build())
-        .create();
+    spark = SparkConnectServerUtils.createSparkSession();
   }
 
   @AfterClass
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
index fa97498f7e77a..cefa63ecd353e 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/CatalogSuite.scala
@@ -22,7 +22,7 @@ import java.io.{File, FilenameFilter}
 import org.apache.commons.io.FileUtils
 
 import org.apache.spark.SparkException
-import org.apache.spark.sql.connect.client.util.RemoteSparkSession
+import org.apache.spark.sql.test.{RemoteSparkSession, SQLHelper}
 import org.apache.spark.sql.types.{DoubleType, LongType, StructType}
 import org.apache.spark.storage.StorageLevel
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
index 2f4e1aa9bd093..069d8ec502f52 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDataFrameStatSuite.scala
@@ -22,7 +22,7 @@ import java.util.Random
 import org.scalatest.matchers.must.Matchers._
 
 import org.apache.spark.{SparkException, SparkIllegalArgumentException}
-import org.apache.spark.sql.connect.client.util.RemoteSparkSession
+import org.apache.spark.sql.test.RemoteSparkSession
 
 class ClientDataFrameStatSuite extends RemoteSparkSession {
   private def toLetter(i: Int): String = (i + 97).toChar.toString
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
index ae20f771d6c1f..a521c6745a90c 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
@@ -26,8 +26,8 @@ import org.scalatest.BeforeAndAfterEach
 
 import org.apache.spark.connect.proto
 import org.apache.spark.sql.connect.client.{DummySparkConnectService, SparkConnectClient}
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.functions._
+import org.apache.spark.sql.test.ConnectFunSuite
 
 // Add sample tests.
 // - sample fraction: simple.sample(0.1)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index 86973b82e72b5..fd443b739250d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -36,10 +36,10 @@ import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.connect.client.{SparkConnectClient, SparkResult}
-import org.apache.spark.sql.connect.client.util.{IntegrationTestUtils, RemoteSparkSession}
-import org.apache.spark.sql.connect.client.util.SparkConnectServerUtils.port
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SqlApiConf
+import org.apache.spark.sql.test.{IntegrationTestUtils, RemoteSparkSession, SQLHelper}
+import org.apache.spark.sql.test.SparkConnectServerUtils.port
 import org.apache.spark.sql.types._
 
 class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateMethodTester {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ColumnTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ColumnTestSuite.scala
index 0d361fe1007f7..a88d6ec116a42 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ColumnTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ColumnTestSuite.scala
@@ -21,7 +21,7 @@ import java.io.ByteArrayOutputStream
 import scala.collection.JavaConverters._
 
 import org.apache.spark.sql.{functions => fn}
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.sql.types._
 
 /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
index ac64d4411a866..393fa19fa70b4 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/DataFrameNaFunctionSuite.scala
@@ -19,8 +19,8 @@ package org.apache.spark.sql
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.internal.SqlApiConf
+import org.apache.spark.sql.test.{QueryTest, SQLHelper}
 import org.apache.spark.sql.types.{StringType, StructType}
 
 class DataFrameNaFunctionSuite extends QueryTest with SQLHelper {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
index 4a8e108357fa7..78cc26d627c7c 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/FunctionTestSuite.scala
@@ -21,9 +21,9 @@ import java.util.Collections
 import scala.collection.JavaConverters._
 
 import org.apache.spark.sql.avro.{functions => avroFn}
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.protobuf.{functions => pbFn}
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.sql.types.{DataType, StructType}
 
 /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
index 380ca2fb72b31..3e979be73a754 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
@@ -20,9 +20,9 @@ import java.sql.Timestamp
 import java.util.Arrays
 
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Append
-import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.streaming.{GroupState, GroupStateTimeout}
+import org.apache.spark.sql.test.{QueryTest, SQLHelper}
 import org.apache.spark.sql.types._
 
 case class ClickEvent(id: String, timestamp: Timestamp)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
index 11d0696b6e130..4916ff1f59743 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
@@ -37,11 +37,10 @@ import org.apache.spark.sql.avro.{functions => avroFn}
 import org.apache.spark.sql.catalyst.ScalaReflection
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.StringEncoder
 import org.apache.spark.sql.connect.client.SparkConnectClient
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
-import org.apache.spark.sql.connect.client.util.IntegrationTestUtils
 import org.apache.spark.sql.expressions.Window
 import org.apache.spark.sql.functions.lit
 import org.apache.spark.sql.protobuf.{functions => pbFn}
+import org.apache.spark.sql.test.{ConnectFunSuite, IntegrationTestUtils}
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.CalendarInterval
 import org.apache.spark.util.SparkFileUtils
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
index 6db38bfb1c304..680380c91a0c2 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLImplicitsTestSuite.scala
@@ -28,7 +28,7 @@ import org.scalatest.BeforeAndAfterAll
 
 import org.apache.spark.sql.connect.client.SparkConnectClient
 import org.apache.spark.sql.connect.client.arrow.{ArrowDeserializers, ArrowSerializer}
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 
 /**
  * Test suite for SQL implicits.
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
index 490bdf9cd86ec..c76dc724828e5 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
@@ -26,7 +26,7 @@ import scala.util.{Failure, Success}
 import org.scalatest.concurrent.Eventually._
 
 import org.apache.spark.SparkException
-import org.apache.spark.sql.connect.client.util.RemoteSparkSession
+import org.apache.spark.sql.test.RemoteSparkSession
 import org.apache.spark.util.SparkThreadUtils.awaitResult
 
 /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
index 4aa8b4360eebd..90fe8f57d0713 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
@@ -22,7 +22,7 @@ import scala.util.control.NonFatal
 
 import io.grpc.{CallOptions, Channel, ClientCall, ClientInterceptor, MethodDescriptor}
 
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 
 /**
  * Tests for non-dataframe related SparkSession operations.
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/StubbingTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/StubbingTestSuite.scala
new file mode 100644
index 0000000000000..b9c5888e5cb77
--- /dev/null
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/StubbingTestSuite.scala
@@ -0,0 +1,37 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql
+
+import org.apache.spark.sql.connect.client.ToStub
+import org.apache.spark.sql.test.RemoteSparkSession
+
+class StubbingTestSuite extends RemoteSparkSession {
+  private def eval[T](f: => T): T = f
+
+  test("capture of to-be stubbed class") {
+    val session = spark
+    import session.implicits._
+    val result = spark
+      .range(0, 10, 1, 1)
+      .map(n => n + 1)
+      .as[ToStub]
+      .head()
+    eval {
+      assert(result.value == 1)
+    }
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UDFClassLoadingE2ESuite.scala
similarity index 94%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UDFClassLoadingE2ESuite.scala
index 8fdb7efbcba71..a76e046db2e3a 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/UDFClassLoadingE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UDFClassLoadingE2ESuite.scala
@@ -14,17 +14,16 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql.connect.client
+package org.apache.spark.sql
 
 import java.io.File
 import java.nio.file.{Files, Paths}
 
 import scala.util.Properties
 
-import org.apache.spark.sql.SparkSession
-import org.apache.spark.sql.connect.client.util.RemoteSparkSession
 import org.apache.spark.sql.connect.common.ProtoDataTypes
 import org.apache.spark.sql.expressions.ScalarUserDefinedFunction
+import org.apache.spark.sql.test.RemoteSparkSession
 
 class UDFClassLoadingE2ESuite extends RemoteSparkSession {
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
index d00659ac2d8eb..0af8c78a1da85 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
@@ -26,8 +26,8 @@ import scala.collection.JavaConverters._
 import org.apache.spark.api.java.function._
 import org.apache.spark.sql.api.java.UDF2
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.{PrimitiveIntEncoder, PrimitiveLongEncoder}
-import org.apache.spark.sql.connect.client.util.QueryTest
 import org.apache.spark.sql.functions.{col, struct, udf}
+import org.apache.spark.sql.test.QueryTest
 import org.apache.spark.sql.types.IntegerType
 
 /**
@@ -215,33 +215,31 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
   }
 
   test("Dataset foreachPartition") {
-    val sum = new AtomicLong()
     val func: Iterator[JLong] => Unit = f => {
+      val sum = new AtomicLong()
       f.foreach(v => sum.addAndGet(v))
-      // The value should be 45
-      assert(sum.get() == -1)
+      throw new Exception("Success, processed records: " + sum.get())
     }
     val exception = intercept[Exception] {
       spark.range(10).repartition(1).foreachPartition(func)
     }
-    assert(exception.getMessage.contains("45 did not equal -1"))
+    assert(exception.getMessage.contains("Success, processed records: 45"))
   }
 
   test("Dataset foreachPartition - java") {
     val sum = new AtomicLong()
     val exception = intercept[Exception] {
       spark
-        .range(10)
+        .range(11)
         .repartition(1)
         .foreachPartition(new ForeachPartitionFunction[JLong] {
           override def call(t: JIterator[JLong]): Unit = {
             t.asScala.foreach(v => sum.addAndGet(v))
-            // The value should be 45
-            assert(sum.get() == -1)
+            throw new Exception("Success, processed records: " + sum.get())
           }
         })
     }
-    assert(exception.getMessage.contains("45 did not equal -1"))
+    assert(exception.getMessage.contains("Success, processed records: 55"))
   }
 
   test("Dataset foreach: change not visible to client") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
index 76608559866fa..923aa5af75ba8 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionSuite.scala
@@ -20,9 +20,9 @@ import scala.reflect.runtime.universe.typeTag
 
 import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst.ScalaReflection
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.connect.common.UdfPacket
 import org.apache.spark.sql.functions.udf
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.util.SparkSerDeUtils
 
 class UserDefinedFunctionSuite extends ConnectFunSuite {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 5a909ab8b4178..4106d298dbe2b 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -25,7 +25,7 @@ import scala.util.Properties
 import org.apache.commons.io.output.ByteArrayOutputStream
 import org.scalatest.BeforeAndAfterEach
 
-import org.apache.spark.sql.connect.client.util.{IntegrationTestUtils, RemoteSparkSession}
+import org.apache.spark.sql.test.{IntegrationTestUtils, RemoteSparkSession}
 
 class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
index 7901008bc12e1..770143f2e9b4e 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ArtifactSuite.scala
@@ -30,7 +30,7 @@ import org.scalatest.BeforeAndAfterEach
 
 import org.apache.spark.connect.proto.AddArtifactsRequest
 import org.apache.spark.sql.connect.client.SparkConnectClient.Configuration
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 
 class ArtifactSuite extends ConnectFunSuite with BeforeAndAfterEach {
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 8f226eb2f7e4a..1f599f2346ef0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -24,7 +24,7 @@ import java.util.regex.Pattern
 import com.typesafe.tools.mima.core._
 import com.typesafe.tools.mima.lib.MiMaLib
 
-import org.apache.spark.sql.connect.client.util.IntegrationTestUtils._
+import org.apache.spark.sql.test.IntegrationTestUtils._
 
 /**
  * A tool for checking the binary compatibility of the connect client API against the spark SQL
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
index 625d4cf43e1a8..ca23436675f87 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/ClassFinderSuite.scala
@@ -20,7 +20,7 @@ import java.nio.file.Paths
 
 import org.apache.commons.io.FileUtils
 
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.util.SparkFileUtils
 
 class ClassFinderSuite extends ConnectFunSuite {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
index 1dc1fd567ec1a..e1d4a18d0ff60 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientBuilderParseTestSuite.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.connect.client
 
 import java.util.UUID
 
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 
 /**
  * Test suite for [[SparkConnectClient.Builder]] parsing and configuration.
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index 6348e0e49ca3d..80e245ec78b7d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -31,8 +31,8 @@ import org.apache.spark.SparkException
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.{AddArtifactsRequest, AddArtifactsResponse, AnalyzePlanRequest, AnalyzePlanResponse, ArtifactStatusesRequest, ArtifactStatusesResponse, ExecutePlanRequest, ExecutePlanResponse, SparkConnectServiceGrpc}
 import org.apache.spark.sql.SparkSession
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
 import org.apache.spark.sql.connect.common.config.ConnectCommon
+import org.apache.spark.sql.test.ConnectFunSuite
 
 class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
index 2a499cc548fd8..b6ad27d3e5287 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/arrow/ArrowEncoderSuite.scala
@@ -43,7 +43,7 @@ import org.apache.spark.sql.catalyst.util.SparkDateTimeUtils._
 import org.apache.spark.sql.catalyst.util.SparkIntervalUtils._
 import org.apache.spark.sql.connect.client.CloseableIterator
 import org.apache.spark.sql.connect.client.arrow.FooEnum.FooEnum
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.sql.types.{ArrayType, DataType, DayTimeIntervalType, Decimal, DecimalType, IntegerType, Metadata, SQLUserDefinedType, StructType, UserDefinedType, YearMonthIntervalType}
 
 /**
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
deleted file mode 100644
index 33540bf498535..0000000000000
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/RemoteSparkSession.scala
+++ /dev/null
@@ -1,228 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package org.apache.spark.sql.connect.client.util
-
-import java.io.{BufferedOutputStream, File}
-import java.util.concurrent.TimeUnit
-
-import scala.io.Source
-
-import org.scalatest.BeforeAndAfterAll
-import sys.process._
-
-import org.apache.spark.sql.SparkSession
-import org.apache.spark.sql.connect.client.SparkConnectClient
-import org.apache.spark.sql.connect.client.util.IntegrationTestUtils._
-import org.apache.spark.sql.connect.common.config.ConnectCommon
-
-/**
- * An util class to start a local spark connect server in a different process for local E2E tests.
- * Pre-running the tests, the spark connect artifact needs to be built using e.g. `build/sbt
- * package`. It is designed to start the server once but shared by all tests. It is equivalent to
- * use the following command to start the connect server via command line:
- *
- * {{{
- * bin/spark-shell \
- * --jars `ls connector/connect/server/target/**/spark-connect*SNAPSHOT.jar | paste -sd ',' -` \
- * --conf spark.plugins=org.apache.spark.sql.connect.SparkConnectPlugin
- * }}}
- *
- * Set system property `spark.test.home` or env variable `SPARK_HOME` if the test is not executed
- * from the Spark project top folder. Set system property `spark.debug.sc.jvm.client=true` to
- * print the server process output in the console to debug server start stop problems.
- */
-object SparkConnectServerUtils {
-
-  // Server port
-  val port: Int =
-    ConnectCommon.CONNECT_GRPC_BINDING_PORT + util.Random.nextInt(1000)
-
-  @volatile private var stopped = false
-
-  private var consoleOut: BufferedOutputStream = _
-  private val serverStopCommand = "q"
-
-  private lazy val sparkConnect: Process = {
-    debug("Starting the Spark Connect Server...")
-    val connectJar = findJar(
-      "connector/connect/server",
-      "spark-connect-assembly",
-      "spark-connect").getCanonicalPath
-
-    val builder = Process(
-      Seq(
-        "bin/spark-submit",
-        "--driver-class-path",
-        connectJar,
-        "--conf",
-        s"spark.connect.grpc.binding.port=$port") ++ testConfigs ++ debugConfigs ++ Seq(
-        "--class",
-        "org.apache.spark.sql.connect.SimpleSparkConnectService",
-        connectJar),
-      new File(sparkHome))
-
-    val io = new ProcessIO(
-      in => consoleOut = new BufferedOutputStream(in),
-      out => Source.fromInputStream(out).getLines.foreach(debug),
-      err => Source.fromInputStream(err).getLines.foreach(debug))
-    val process = builder.run(io)
-
-    // Adding JVM shutdown hook
-    sys.addShutdownHook(stop())
-    process
-  }
-
-  /**
-   * As one shared spark will be started for all E2E tests, for tests that needs some special
-   * configs, we add them here
-   */
-  private def testConfigs: Seq[String] = {
-    // To find InMemoryTableCatalog for V2 writer tests
-    val catalystTestJar =
-      tryFindJar("sql/catalyst", "spark-catalyst", "spark-catalyst", test = true)
-        .map(clientTestJar => Seq(clientTestJar.getCanonicalPath))
-        .getOrElse(Seq.empty)
-
-    // For UDF maven E2E tests, the server needs the client code to find the UDFs defined in tests.
-    val connectClientTestJar = tryFindJar(
-      "connector/connect/client/jvm",
-      // SBT passes the client & test jars to the server process automatically.
-      // So we skip building or finding this jar for SBT.
-      "sbt-tests-do-not-need-this-jar",
-      "spark-connect-client-jvm",
-      test = true)
-      .map(clientTestJar => Seq(clientTestJar.getCanonicalPath))
-      .getOrElse(Seq.empty)
-
-    val allJars = catalystTestJar ++ connectClientTestJar
-    val jarsConfigs = Seq("--jars", allJars.mkString(","))
-
-    // Use InMemoryTableCatalog for V2 writer tests
-    val writerV2Configs = Seq(
-      "--conf",
-      "spark.sql.catalog.testcat=org.apache.spark.sql.connector.catalog.InMemoryTableCatalog")
-
-    // Run tests using hive
-    val hiveTestConfigs = {
-      val catalogImplementation = if (IntegrationTestUtils.isSparkHiveJarAvailable) {
-        "hive"
-      } else {
-        // scalastyle:off println
-        println(
-          "Will start Spark Connect server with `spark.sql.catalogImplementation=in-memory`, " +
-            "some tests that rely on Hive will be ignored. If you don't want to skip them:\n" +
-            "1. Test with maven: run `build/mvn install -DskipTests -Phive` before testing\n" +
-            "2. Test with sbt: run test with `-Phive` profile")
-        // scalastyle:on println
-        // SPARK-43647: Proactively cleaning the `classes` and `test-classes` dir of hive
-        // module to avoid unexpected loading of `DataSourceRegister` in hive module during
-        // testing without `-Phive` profile.
-        IntegrationTestUtils.cleanUpHiveClassesDirIfNeeded()
-        "in-memory"
-      }
-      Seq("--conf", s"spark.sql.catalogImplementation=$catalogImplementation")
-    }
-
-    // Make the server terminate reattachable streams every 1 second and 123 bytes,
-    // to make the tests exercise reattach.
-    val reattachExecuteConfigs = Seq(
-      "--conf",
-      "spark.connect.execute.reattachable.senderMaxStreamDuration=1s",
-      "--conf",
-      "spark.connect.execute.reattachable.senderMaxStreamSize=123")
-
-    jarsConfigs ++ writerV2Configs ++ hiveTestConfigs ++ reattachExecuteConfigs
-  }
-
-  def start(): Unit = {
-    assert(!stopped)
-    sparkConnect
-  }
-
-  def stop(): Int = {
-    stopped = true
-    debug("Stopping the Spark Connect Server...")
-    try {
-      consoleOut.write(serverStopCommand.getBytes)
-      consoleOut.flush()
-      consoleOut.close()
-    } catch {
-      case e: Throwable =>
-        debug(e)
-        sparkConnect.destroy()
-    }
-
-    val code = sparkConnect.exitValue()
-    debug(s"Spark Connect Server is stopped with exit code: $code")
-    code
-  }
-}
-
-trait RemoteSparkSession extends ConnectFunSuite with BeforeAndAfterAll {
-  import SparkConnectServerUtils._
-  var spark: SparkSession = _
-  protected lazy val serverPort: Int = port
-
-  override def beforeAll(): Unit = {
-    super.beforeAll()
-    SparkConnectServerUtils.start()
-    spark = SparkSession
-      .builder()
-      .client(SparkConnectClient.builder().port(serverPort).build())
-      .create()
-
-    // Retry and wait for the server to start
-    val stop = System.nanoTime() + TimeUnit.MINUTES.toNanos(1) // ~1 min
-    var sleepInternalMs = TimeUnit.SECONDS.toMillis(1) // 1s with * 2 backoff
-    var success = false
-    val error = new RuntimeException(s"Failed to start the test server on port $serverPort.")
-
-    while (!success && System.nanoTime() < stop) {
-      try {
-        // Run a simple query to verify the server is really up and ready
-        val result = spark
-          .sql("select val from (values ('Hello'), ('World')) as t(val)")
-          .collect()
-        assert(result.length == 2)
-        success = true
-        debug("Spark Connect Server is up.")
-      } catch {
-        // ignored the error
-        case e: Throwable =>
-          error.addSuppressed(e)
-          Thread.sleep(sleepInternalMs)
-          sleepInternalMs *= 2
-      }
-    }
-
-    // Throw error if failed
-    if (!success) {
-      debug(error)
-      throw error
-    }
-  }
-
-  override def afterAll(): Unit = {
-    try {
-      if (spark != null) spark.stop()
-    } catch {
-      case e: Throwable => debug(e)
-    }
-    spark = null
-    super.afterAll()
-  }
-}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
index 944a999a860b6..dc4d441ec3015 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/ClientStreamingQuerySuite.scala
@@ -29,11 +29,11 @@ import org.scalatest.time.SpanSugar._
 
 import org.apache.spark.api.java.function.VoidFunction2
 import org.apache.spark.internal.Logging
-import org.apache.spark.sql.{DataFrame, ForeachWriter, Row, SparkSession, SQLHelper}
-import org.apache.spark.sql.connect.client.util.QueryTest
+import org.apache.spark.sql.{DataFrame, ForeachWriter, Row, SparkSession}
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.functions.window
 import org.apache.spark.sql.streaming.StreamingQueryListener.{QueryIdleEvent, QueryStartedEvent, QueryTerminatedEvent}
+import org.apache.spark.sql.test.{QueryTest, SQLHelper}
 import org.apache.spark.util.SparkFileUtils
 
 class ClientStreamingQuerySuite extends QueryTest with SQLHelper with Logging {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateStreamingSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateStreamingSuite.scala
index cdb6b9a2e9c10..2fab6e8e3c843 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateStreamingSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateStreamingSuite.scala
@@ -23,9 +23,9 @@ import org.scalatest.concurrent.Eventually.eventually
 import org.scalatest.concurrent.Futures.timeout
 import org.scalatest.time.SpanSugar._
 
-import org.apache.spark.sql.{SparkSession, SQLHelper}
+import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Append
-import org.apache.spark.sql.connect.client.util.QueryTest
+import org.apache.spark.sql.test.{QueryTest, SQLHelper}
 import org.apache.spark.sql.types.{StringType, StructField, StructType, TimestampType}
 
 case class ClickEvent(id: String, timestamp: Timestamp)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryProgressSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryProgressSuite.scala
index a6a44c1bd7164..1a72252a41795 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryProgressSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryProgressSuite.scala
@@ -21,7 +21,7 @@ import scala.jdk.CollectionConverters._
 
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
-import org.apache.spark.sql.connect.client.util.ConnectFunSuite
+import org.apache.spark.sql.test.ConnectFunSuite
 import org.apache.spark.sql.types.StructType
 
 class StreamingQueryProgressSuite extends ConnectFunSuite {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/ConnectFunSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/ConnectFunSuite.scala
similarity index 97%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/ConnectFunSuite.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/ConnectFunSuite.scala
index 0a1e794c8e72e..8d69d91a34f7d 100755
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/ConnectFunSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/ConnectFunSuite.scala
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql.connect.client.util
+package org.apache.spark.sql.test
 
 import java.nio.file.Path
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
similarity index 87%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
index 4d88565308f2d..61d08912aec23 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/IntegrationTestUtils.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql.connect.client.util
+package org.apache.spark.sql.test
 
 import java.io.File
 import java.nio.file.{Files, Paths}
@@ -30,8 +30,12 @@ object IntegrationTestUtils {
 
   // System properties used for testing and debugging
   private val DEBUG_SC_JVM_CLIENT = "spark.debug.sc.jvm.client"
+  private val DEBUG_SC_JVM_CLIENT_ENV = "SPARK_DEBUG_SC_JVM_CLIENT"
   // Enable this flag to print all server logs to the console
-  private[connect] val isDebug = System.getProperty(DEBUG_SC_JVM_CLIENT, "false").toBoolean
+  private[sql] val isDebug = {
+    System.getProperty(DEBUG_SC_JVM_CLIENT, "false").toBoolean ||
+    Option(System.getenv(DEBUG_SC_JVM_CLIENT_ENV)).exists(_.toBoolean)
+  }
 
   private[sql] lazy val scalaVersion = {
     versionNumberString.split('.') match {
@@ -49,8 +53,14 @@ object IntegrationTestUtils {
     sys.props.getOrElse("spark.test.home", sys.env("SPARK_HOME"))
   }
 
-  private[connect] def debugConfigs: Seq[String] = {
-    val log4j2 = s"$sparkHome/connector/connect/client/jvm/src/test/resources/log4j2.properties"
+  private[sql] lazy val connectClientHomeDir = s"$sparkHome/connector/connect/client/jvm"
+
+  private[sql] lazy val connectClientTestClassDir = {
+    s"$connectClientHomeDir/target/$scalaDir/test-classes"
+  }
+
+  private[sql] def debugConfigs: Seq[String] = {
+    val log4j2 = s"$connectClientHomeDir/src/test/resources/log4j2.properties"
     if (isDebug) {
       Seq(
         // Enable to see the server plan change log
@@ -70,9 +80,9 @@ object IntegrationTestUtils {
 
   // Log server start stop debug info into console
   // scalastyle:off println
-  private[connect] def debug(msg: String): Unit = if (isDebug) println(msg)
+  private[sql] def debug(msg: String): Unit = if (isDebug) println(msg)
   // scalastyle:on println
-  private[connect] def debug(error: Throwable): Unit = if (isDebug) error.printStackTrace()
+  private[sql] def debug(error: Throwable): Unit = if (isDebug) error.printStackTrace()
 
   private[sql] lazy val isSparkHiveJarAvailable: Boolean = {
     val filePath = s"$sparkHome/assembly/target/$scalaDir/jars/" +
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/QueryTest.scala
similarity index 99%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/QueryTest.scala
index a0d3d4368dd28..adbd8286090d9 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/util/QueryTest.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/QueryTest.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.connect.client.util
+package org.apache.spark.sql.test
 
 import java.util.TimeZone
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
new file mode 100644
index 0000000000000..8a8f739a7c502
--- /dev/null
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
@@ -0,0 +1,224 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.test
+
+import java.io.{File, IOException, OutputStream}
+import java.lang.ProcessBuilder
+import java.lang.ProcessBuilder.Redirect
+import java.nio.file.Paths
+import java.util.concurrent.TimeUnit
+
+import scala.concurrent.duration.FiniteDuration
+
+import org.scalatest.BeforeAndAfterAll
+
+import org.apache.spark.SparkBuildInfo
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.connect.client.GrpcRetryHandler.RetryPolicy
+import org.apache.spark.sql.connect.client.SparkConnectClient
+import org.apache.spark.sql.connect.common.config.ConnectCommon
+import org.apache.spark.sql.test.IntegrationTestUtils._
+
+/**
+ * An util class to start a local spark connect server in a different process for local E2E tests.
+ * Pre-running the tests, the spark connect artifact needs to be built using e.g. `build/sbt
+ * package`. It is designed to start the server once but shared by all tests. It is equivalent to
+ * use the following command to start the connect server via command line:
+ *
+ * {{{
+ * bin/spark-shell \
+ * --jars `ls connector/connect/server/target/**/spark-connect*SNAPSHOT.jar | paste -sd ',' -` \
+ * --conf spark.plugins=org.apache.spark.sql.connect.SparkConnectPlugin
+ * }}}
+ *
+ * Set system property `spark.test.home` or env variable `SPARK_HOME` if the test is not executed
+ * from the Spark project top folder. Set system property `spark.debug.sc.jvm.client=true` or
+ * environment variable `SPARK_DEBUG_SC_JVM_CLIENT=true` to print the server process output in the
+ * console to debug server start stop problems.
+ */
+object SparkConnectServerUtils {
+
+  // Server port
+  val port: Int =
+    ConnectCommon.CONNECT_GRPC_BINDING_PORT + util.Random.nextInt(1000)
+
+  @volatile private var stopped = false
+
+  private var consoleOut: OutputStream = _
+  private val serverStopCommand = "q"
+
+  private lazy val sparkConnect: java.lang.Process = {
+    debug("Starting the Spark Connect Server...")
+    val connectJar = findJar(
+      "connector/connect/server",
+      "spark-connect-assembly",
+      "spark-connect").getCanonicalPath
+
+    val command = Seq.newBuilder[String]
+    command += "bin/spark-submit"
+    command += "--driver-class-path" += connectJar
+    command += "--class" += "org.apache.spark.sql.connect.SimpleSparkConnectService"
+    command += "--conf" += s"spark.connect.grpc.binding.port=$port"
+    command ++= testConfigs
+    command ++= debugConfigs
+    command += connectJar
+    val builder = new ProcessBuilder(command.result(): _*)
+    builder.directory(new File(sparkHome))
+    val environment = builder.environment()
+    environment.remove("SPARK_DIST_CLASSPATH")
+    if (isDebug) {
+      builder.redirectError(Redirect.INHERIT)
+      builder.redirectOutput(Redirect.INHERIT)
+    }
+
+    val process = builder.start()
+    consoleOut = process.getOutputStream
+
+    // Adding JVM shutdown hook
+    sys.addShutdownHook(stop())
+    process
+  }
+
+  /**
+   * As one shared spark will be started for all E2E tests, for tests that needs some special
+   * configs, we add them here
+   */
+  private def testConfigs: Seq[String] = {
+    // To find InMemoryTableCatalog for V2 writer tests
+    val catalystTestJar =
+      findJar("sql/catalyst", "spark-catalyst", "spark-catalyst", test = true).getCanonicalPath
+
+    val catalogImplementation = if (IntegrationTestUtils.isSparkHiveJarAvailable) {
+      "hive"
+    } else {
+      // scalastyle:off println
+      println(
+        "Will start Spark Connect server with `spark.sql.catalogImplementation=in-memory`, " +
+          "some tests that rely on Hive will be ignored. If you don't want to skip them:\n" +
+          "1. Test with maven: run `build/mvn install -DskipTests -Phive` before testing\n" +
+          "2. Test with sbt: run test with `-Phive` profile")
+      // scalastyle:on println
+      // SPARK-43647: Proactively cleaning the `classes` and `test-classes` dir of hive
+      // module to avoid unexpected loading of `DataSourceRegister` in hive module during
+      // testing without `-Phive` profile.
+      IntegrationTestUtils.cleanUpHiveClassesDirIfNeeded()
+      "in-memory"
+    }
+    val confs = Seq(
+      // Use InMemoryTableCatalog for V2 writer tests
+      "spark.sql.catalog.testcat=org.apache.spark.sql.connector.catalog.InMemoryTableCatalog",
+      // Try to use the hive catalog, fallback to in-memory if it is not there.
+      "spark.sql.catalogImplementation=" + catalogImplementation,
+      // Make the server terminate reattachable streams every 1 second and 123 bytes,
+      // to make the tests exercise reattach.
+      "spark.connect.execute.reattachable.senderMaxStreamDuration=1s",
+      "spark.connect.execute.reattachable.senderMaxStreamSize=123",
+      // Disable UI
+      "spark.ui.enabled=false")
+    Seq("--jars", catalystTestJar) ++ confs.flatMap(v => "--conf" :: v :: Nil)
+  }
+
+  def start(): Unit = {
+    assert(!stopped)
+    sparkConnect
+  }
+
+  def stop(): Int = {
+    stopped = true
+    debug("Stopping the Spark Connect Server...")
+    try {
+      consoleOut.write(serverStopCommand.getBytes)
+      consoleOut.flush()
+      consoleOut.close()
+      if (!sparkConnect.waitFor(2, TimeUnit.SECONDS)) {
+        sparkConnect.destroyForcibly()
+      }
+      val code = sparkConnect.exitValue()
+      debug(s"Spark Connect Server is stopped with exit code: $code")
+      code
+    } catch {
+      case e: IOException if e.getMessage.contains("Stream closed") =>
+        -1
+      case e: Throwable =>
+        debug(e)
+        sparkConnect.destroyForcibly()
+        throw e
+    }
+  }
+
+  def syncTestDependencies(spark: SparkSession): Unit = {
+    // Both SBT & Maven pass the test-classes as a directory instead of a jar.
+    val testClassesPath = Paths.get(IntegrationTestUtils.connectClientTestClassDir)
+    spark.client.artifactManager.addClassDir(testClassesPath)
+
+    // We need scalatest & scalactic on the session's classpath to make the tests work.
+    val jars = System
+      .getProperty("java.class.path")
+      .split(File.pathSeparatorChar)
+      .filter { e: String =>
+        val fileName = e.substring(e.lastIndexOf(File.separatorChar) + 1)
+        fileName.endsWith(".jar") &&
+        (fileName.startsWith("scalatest") || fileName.startsWith("scalactic"))
+      }
+      .map(e => Paths.get(e).toUri)
+    spark.client.artifactManager.addArtifacts(jars)
+  }
+
+  def createSparkSession(): SparkSession = {
+    SparkConnectServerUtils.start()
+
+    val spark = SparkSession
+      .builder()
+      .client(
+        SparkConnectClient
+          .builder()
+          .userId("test")
+          .port(port)
+          .retryPolicy(RetryPolicy(maxRetries = 7, maxBackoff = FiniteDuration(10, "s")))
+          .build())
+      .create()
+
+    // Execute an RPC which will get retried until the server is up.
+    assert(spark.version == SparkBuildInfo.spark_version)
+
+    // Auto-sync dependencies.
+    SparkConnectServerUtils.syncTestDependencies(spark)
+
+    spark
+  }
+}
+
+trait RemoteSparkSession extends ConnectFunSuite with BeforeAndAfterAll {
+  import SparkConnectServerUtils._
+  var spark: SparkSession = _
+  protected lazy val serverPort: Int = port
+
+  override def beforeAll(): Unit = {
+    super.beforeAll()
+    spark = createSparkSession()
+  }
+
+  override def afterAll(): Unit = {
+    try {
+      if (spark != null) spark.stop()
+    } catch {
+      case e: Throwable => debug(e)
+    }
+    spark = null
+    super.afterAll()
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/SQLHelper.scala
similarity index 97%
rename from connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala
rename to connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/SQLHelper.scala
index f357270e20fe2..12212492e370b 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SQLHelper.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/SQLHelper.scala
@@ -14,13 +14,14 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package org.apache.spark.sql
+package org.apache.spark.sql.test
 
 import java.io.File
 import java.util.UUID
 
 import org.scalatest.Assertions.fail
 
+import org.apache.spark.sql.{AnalysisException, SparkSession}
 import org.apache.spark.util.{SparkErrorUtils, SparkFileUtils}
 
 trait SQLHelper {
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
index 136a31fca3cda..b1a7746a84ad6 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ArtifactManager.scala
@@ -145,10 +145,28 @@ class ArtifactManager(
     addArtifacts(classFinders.asScala.flatMap(_.findClasses()))
   }
 
+  private[sql] def addClassDir(base: Path): Unit = {
+    if (!Files.isDirectory(base)) {
+      return
+    }
+    val builder = Seq.newBuilder[Artifact]
+    val stream = Files.walk(base)
+    try {
+      stream.forEach { path =>
+        if (Files.isRegularFile(path) && path.toString.endsWith(".class")) {
+          builder += Artifact.newClassArtifact(base.relativize(path), new LocalFile(path))
+        }
+      }
+    } finally {
+      stream.close()
+    }
+    addArtifacts(builder.result())
+  }
+
   /**
    * Add a number of artifacts to the session.
    */
-  private def addArtifacts(artifacts: Iterable[Artifact]): Unit = {
+  private[client] def addArtifacts(artifacts: Iterable[Artifact]): Unit = {
     if (artifacts.isEmpty) {
       return
     }
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 8b6f070b8f5b9..a6841e7f1182e 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -26,7 +26,7 @@ import io.grpc.stub.StreamObserver
 
 import org.apache.spark.internal.Logging
 
-private[client] class GrpcRetryHandler(
+private[sql] class GrpcRetryHandler(
     private val retryPolicy: GrpcRetryHandler.RetryPolicy,
     private val sleep: Long => Unit = Thread.sleep) {
 
@@ -146,7 +146,7 @@ private[client] class GrpcRetryHandler(
   }
 }
 
-private[client] object GrpcRetryHandler extends Logging {
+private[sql] object GrpcRetryHandler extends Logging {
 
   /**
    * Retries the given function with exponential backoff according to the client's retryPolicy.
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
index c41f6dfaae1fc..a0853cc0621fa 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClient.scala
@@ -58,7 +58,7 @@ private[sql] class SparkConnectClient(
   // a new client will create a new session ID.
   private[sql] val sessionId: String = configuration.sessionId.getOrElse(UUID.randomUUID.toString)
 
-  private[client] val artifactManager: ArtifactManager = {
+  private[sql] val artifactManager: ArtifactManager = {
     new ArtifactManager(configuration, sessionId, bstub, stub)
   }
 
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoDataTypes.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoDataTypes.scala
index 19890558ab212..e85a2a40da2bf 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoDataTypes.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/ProtoDataTypes.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.connect.common
 
 import org.apache.spark.connect.proto
 
-private[connect] object ProtoDataTypes {
+private[sql] object ProtoDataTypes {
 
   val NullType: proto.DataType = proto.DataType
     .newBuilder()
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/config/ConnectCommon.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/config/ConnectCommon.scala
index 3f594d79b627b..dca65cf905fc8 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/config/ConnectCommon.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/config/ConnectCommon.scala
@@ -16,7 +16,7 @@
  */
 package org.apache.spark.sql.connect.common.config
 
-private[connect] object ConnectCommon {
+private[sql] object ConnectCommon {
   val CONNECT_GRPC_BINDING_PORT: Int = 15002
   val CONNECT_GRPC_MAX_MESSAGE_SIZE: Int = 128 * 1024 * 1024;
 }
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
index c1dd7820c55f0..a2df11eeb5832 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
@@ -31,7 +31,7 @@ import org.apache.hadoop.fs.{LocalFileSystem, Path => FSPath}
 
 import org.apache.spark.{JobArtifactSet, JobArtifactState, SparkContext, SparkEnv}
 import org.apache.spark.internal.Logging
-import org.apache.spark.internal.config.CONNECT_SCALA_UDF_STUB_PREFIXES
+import org.apache.spark.internal.config.{CONNECT_SCALA_UDF_STUB_PREFIXES, EXECUTOR_USER_CLASS_PATH_FIRST}
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.util.ArtifactUtils
 import org.apache.spark.sql.connect.config.Connect.CONNECT_COPY_FROM_LOCAL_TO_FS_ALLOW_DEST_LOCAL
@@ -162,15 +162,37 @@ class SparkConnectArtifactManager(sessionHolder: SessionHolder) extends Logging
    */
   def classloader: ClassLoader = {
     val urls = getSparkConnectAddedJars :+ classDir.toUri.toURL
-    val loader = if (SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES).nonEmpty) {
-      val stubClassLoader =
-        StubClassLoader(null, SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES))
-      new ChildFirstURLClassLoader(
-        urls.toArray,
-        stubClassLoader,
-        Utils.getContextOrSparkClassLoader)
+    val prefixes = SparkEnv.get.conf.get(CONNECT_SCALA_UDF_STUB_PREFIXES)
+    val userClasspathFirst = SparkEnv.get.conf.get(EXECUTOR_USER_CLASS_PATH_FIRST)
+    val loader = if (prefixes.nonEmpty) {
+      // Two things you need to know about classloader for all of this to make sense:
+      // 1. A classloader needs to be able to fully define a class.
+      // 2. Classes are loaded lazily. Only when a class is used the classes it references are
+      //    loaded.
+      // This makes stubbing a bit more complicated then you'd expect. We cannot put the stubbing
+      // classloader as a fallback at the end of the loading process, because then classes that
+      // have been found in one of the parent classloaders and that contain a reference to a
+      // missing, to-be-stubbed missing class will still fail with classloading errors later on.
+      // The way we currently fix this is by making the stubbing class loader the last classloader
+      // it delegates to.
+      if (userClasspathFirst) {
+        // USER -> SYSTEM -> STUB
+        new ChildFirstURLClassLoader(
+          urls.toArray,
+          StubClassLoader(Utils.getContextOrSparkClassLoader, prefixes))
+      } else {
+        // SYSTEM -> USER -> STUB
+        new ChildFirstURLClassLoader(
+          urls.toArray,
+          StubClassLoader(null, prefixes),
+          Utils.getContextOrSparkClassLoader)
+      }
     } else {
-      new URLClassLoader(urls.toArray, Utils.getContextOrSparkClassLoader)
+      if (userClasspathFirst) {
+        new ChildFirstURLClassLoader(urls.toArray, Utils.getContextOrSparkClassLoader)
+      } else {
+        new URLClassLoader(urls.toArray, Utils.getContextOrSparkClassLoader)
+      }
     }
 
     logDebug(s"Using class loader: $loader, containing urls: $urls")
diff --git a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
index e27376e2b83d8..8d903c2a3e400 100644
--- a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
+++ b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
@@ -18,6 +18,8 @@ package org.apache.spark.util
 
 import org.apache.xbean.asm9.{ClassWriter, Opcodes}
 
+import org.apache.spark.internal.Logging
+
 /**
  * [[ClassLoader]] that replaces missing classes with stubs, if the cannot be found. It will only
  * do this for classes that are marked for stubbing.
@@ -27,11 +29,12 @@ import org.apache.xbean.asm9.{ClassWriter, Opcodes}
  * the class and therefor is safe to replace by a stub.
  */
 class StubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
-  extends ClassLoader(parent) {
+  extends ClassLoader(parent) with Logging {
   override def findClass(name: String): Class[_] = {
     if (!shouldStub(name)) {
       throw new ClassNotFoundException(name)
     }
+    logDebug(s"Generating stub for $name")
     val bytes = StubClassLoader.generateStub(name)
     defineClass(name, bytes, 0, bytes.length)
   }
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 4b6f617e68ff0..563d53577548e 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -858,7 +858,6 @@ object SparkConnectClient {
         "com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf"
       )
     },
-
     dependencyOverrides ++= {
       val guavaVersion =
         SbtPomKeys.effectivePom.value.getProperties.get(

From d5423e7a89ccca92beab15c82719fd60f6576e49 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Sun, 27 Aug 2023 23:45:52 +0000
Subject: [PATCH 319/986] Preparing Spark release v3.5.0-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..1c093a4a98046 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.0
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 45b68dd81cb9a..a0aca22eab91d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index a7e5c5c2bab83..6e7c1d1cfc6e3 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index fb261c284d9bd..839f61cac60c4 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..10deea435d2bd 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..c40f9905245cb 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.0
+SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..f67475ac11bc0 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 154ca4005f6c5..39b39f2bb1a5d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e5b1d1d67b3b4..a834cfb4c65b6 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..7222d49ecb020 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 9b00d367c1898d63ba276a3c973c54f34cfcb5c1 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Sun, 27 Aug 2023 23:45:57 +0000
Subject: [PATCH 320/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a0aca22eab91d..45b68dd81cb9a 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 6e7c1d1cfc6e3..a7e5c5c2bab83 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 839f61cac60c4..fb261c284d9bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 10deea435d2bd..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index c40f9905245cb..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index f67475ac11bc0..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 39b39f2bb1a5d..154ca4005f6c5 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index a834cfb4c65b6..e5b1d1d67b3b4 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7222d49ecb020..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 2f4a71252cc2ccc4bb1a9c388391c6df1b15a1f7 Mon Sep 17 00:00:00 2001
From: Michael Chen <mike.chen@workday.com>
Date: Mon, 28 Aug 2023 10:56:54 +0800
Subject: [PATCH 321/986] [SPARK-44897][SQL] Propagating local properties to
 subquery broadcast exec

### What changes were proposed in this pull request?
https://issues.apache.org/jira/browse/SPARK-32748 previously proposed propagating these local properties to the subquery broadcast exec threads but was then reverted since it was said that local properties would already be propagated to the broadcast threads.
I believe this is not always true. In the scenario where a separate `BroadcastExchangeExec` is the first to compute the broadcast, this is fine. However, in the scenario where the `SubqueryBroadcastExec` is the first to compute the broadcast, then the local properties that are propagated to the broadcast threads would not have been propagated correctly. This is because the local properties from the subquery broadcast exec were not propagated to its Future thread.
It is difficult to write a unit test that reproduces this behavior because usually `BroadcastExchangeExec` is the first computing the broadcast variable. However, by adding a `Thread.sleep(10)` to `SubqueryBroadcastExec.doPrepare` after `relationFuture` is initialized, the added test will consistently fail.

### Why are the changes needed?
Local properties are not propagated correctly to `SubqueryBroadcastExec`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Following test can reproduce the bug and test the solution by adding sleep to `SubqueryBroadcastExec.doPrepare`
```
protected override def doPrepare(): Unit = {
    relationFuture
    Thread.sleep(10)
}
```

```test("SPARK-44897 propagate local properties to subquery broadcast execuction thread") {
    withSQLConf(StaticSQLConf.BROADCAST_EXCHANGE_MAX_THREAD_THRESHOLD.key -> "1") {
      withTable("a", "b") {
        val confKey = "spark.sql.y"
        val confValue1 = UUID.randomUUID().toString()
        val confValue2 = UUID.randomUUID().toString()
        Seq((confValue1, "1")).toDF("key", "value")
          .write
          .format("parquet")
          .partitionBy("key")
          .mode("overwrite")
          .saveAsTable("a")
        val df1 = spark.table("a")

        def generateBroadcastDataFrame(confKey: String, confValue: String): Dataset[String] = {
          val df = spark.range(1).mapPartitions { _ =>
            Iterator(TaskContext.get.getLocalProperty(confKey))
          }.filter($"value".contains(confValue)).as("c")
          df.hint("broadcast")
        }

        // set local property and assert
        val df2 = generateBroadcastDataFrame(confKey, confValue1)
        spark.sparkContext.setLocalProperty(confKey, confValue1)
        val checkDF = df1.join(df2).where($"a.key" === $"c.value").select($"a.key", $"c.value")
        val checks = checkDF.collect()
        assert(checks.forall(_.toSeq == Seq(confValue1, confValue1)))

        // change local property and re-assert
        Seq((confValue2, "1")).toDF("key", "value")
          .write
          .format("parquet")
          .partitionBy("key")
          .mode("overwrite")
          .saveAsTable("b")
        val df3 = spark.table("b")
        val df4 = generateBroadcastDataFrame(confKey, confValue2)
        spark.sparkContext.setLocalProperty(confKey, confValue2)
        val checks2DF = df3.join(df4).where($"b.key" === $"c.value").select($"b.key", $"c.value")
        val checks2 = checks2DF.collect()
        assert(checks2.forall(_.toSeq == Seq(confValue2, confValue2)))
        assert(checks2.nonEmpty)
      }
    }
  }
  ```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42587 from ChenMichael/SPARK-44897-local-property-propagation-to-subquery-broadcast-exec.

Authored-by: Michael Chen <mike.chen@workday.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 4a4856207d414ba88a8edabeb70e20765460ef1a)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/execution/SubqueryBroadcastExec.scala     | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryBroadcastExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryBroadcastExec.scala
index 22d042ccefb84..05657fe62e8e5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryBroadcastExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryBroadcastExec.scala
@@ -17,7 +17,9 @@
 
 package org.apache.spark.sql.execution
 
-import scala.concurrent.{ExecutionContext, Future}
+import java.util.concurrent.{Future => JFuture}
+
+import scala.concurrent.ExecutionContext
 import scala.concurrent.duration.Duration
 
 import org.apache.spark.rdd.RDD
@@ -27,6 +29,7 @@ import org.apache.spark.sql.catalyst.plans.QueryPlan
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution.joins.{HashedRelation, HashJoin, LongHashedRelation}
 import org.apache.spark.sql.execution.metric.SQLMetrics
+import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
 import org.apache.spark.util.ThreadUtils
 
 /**
@@ -70,10 +73,11 @@ case class SubqueryBroadcastExec(
   }
 
   @transient
-  private lazy val relationFuture: Future[Array[InternalRow]] = {
+  private lazy val relationFuture: JFuture[Array[InternalRow]] = {
     // relationFuture is used in "doExecute". Therefore we can get the execution id correctly here.
     val executionId = sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
-    Future {
+    SQLExecution.withThreadLocalCaptured[Array[InternalRow]](
+      session, SubqueryBroadcastExec.executionContext) {
       // This will run in another thread. Set the execution id so that we can connect these jobs
       // with the correct execution.
       SQLExecution.withExecutionId(session, executionId) {
@@ -104,7 +108,7 @@ case class SubqueryBroadcastExec(
 
         rows
       }
-    }(SubqueryBroadcastExec.executionContext)
+    }
   }
 
   protected override def doPrepare(): Unit = {
@@ -127,5 +131,6 @@ case class SubqueryBroadcastExec(
 
 object SubqueryBroadcastExec {
   private[execution] val executionContext = ExecutionContext.fromExecutorService(
-    ThreadUtils.newDaemonCachedThreadPool("dynamicpruning", 16))
+    ThreadUtils.newDaemonCachedThreadPool("dynamicpruning",
+      SQLConf.get.getConf(StaticSQLConf.BROADCAST_EXCHANGE_MAX_THREAD_THRESHOLD)))
 }

From 89a608ba41bceafe3e79978d8998c09fa4a83740 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 28 Aug 2023 13:32:44 +0900
Subject: [PATCH 322/986] [SPARK-42944][PYTHON][FOLLOW-UP][3.5] Rename tests
 from foreachBatch to foreach_batch

This PR cherry-picks https://github.com/apache/spark/pull/42675 to branch-3.5.

---

### What changes were proposed in this pull request?

This PR proposes to rename tests from foreachBatch to foreach_batch.

### Why are the changes needed?

Non-API should follow snake_naming rule per PEP 8.

### Does this PR introduce _any_ user-facing change?

No, dev-only.

### How was this patch tested?

CI in this PR should test it out.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42692 from HyukjinKwon/SPARK-42944-3.5.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../planner/StreamingForeachBatchHelper.scala        |  2 +-
 dev/sparktestsupport/modules.py                      |  4 ++--
 ...oreachBatch_worker.py => foreach_batch_worker.py} |  0
 ..._foreachBatch.py => test_parity_foreach_batch.py} | 12 ++++++------
 ...reachBatch.py => test_streaming_foreach_batch.py} | 10 +++++-----
 5 files changed, 14 insertions(+), 14 deletions(-)
 rename python/pyspark/sql/connect/streaming/worker/{foreachBatch_worker.py => foreach_batch_worker.py} (100%)
 rename python/pyspark/sql/tests/connect/streaming/{test_parity_foreachBatch.py => test_parity_foreach_batch.py} (79%)
 rename python/pyspark/sql/tests/streaming/{test_streaming_foreachBatch.py => test_streaming_foreach_batch.py} (92%)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
index 21e4adb9896b6..9c74c8b69aede 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/StreamingForeachBatchHelper.scala
@@ -108,7 +108,7 @@ object StreamingForeachBatchHelper extends Logging {
       pythonFn,
       connectUrl,
       sessionHolder.sessionId,
-      "pyspark.sql.connect.streaming.worker.foreachBatch_worker")
+      "pyspark.sql.connect.streaming.worker.foreach_batch_worker")
     val (dataOut, dataIn) = runner.init()
 
     val foreachBatchRunnerFn: FnArgsWithId => Unit = (args: FnArgsWithId) => {
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 2af7b83c7a0ff..33d253a47ea07 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -497,7 +497,7 @@ def __hash__(self):
         "pyspark.sql.tests.test_session",
         "pyspark.sql.tests.streaming.test_streaming",
         "pyspark.sql.tests.streaming.test_streaming_foreach",
-        "pyspark.sql.tests.streaming.test_streaming_foreachBatch",
+        "pyspark.sql.tests.streaming.test_streaming_foreach_batch",
         "pyspark.sql.tests.streaming.test_streaming_listener",
         "pyspark.sql.tests.test_types",
         "pyspark.sql.tests.test_udf",
@@ -868,7 +868,7 @@ def __hash__(self):
         "pyspark.sql.tests.connect.streaming.test_parity_streaming",
         "pyspark.sql.tests.connect.streaming.test_parity_listener",
         "pyspark.sql.tests.connect.streaming.test_parity_foreach",
-        "pyspark.sql.tests.connect.streaming.test_parity_foreachBatch",
+        "pyspark.sql.tests.connect.streaming.test_parity_foreach_batch",
         "pyspark.sql.tests.connect.test_parity_pandas_grouped_map_with_state",
         "pyspark.sql.tests.connect.test_parity_pandas_udf_scalar",
         "pyspark.sql.tests.connect.test_parity_pandas_udf_grouped_agg",
diff --git a/python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py b/python/pyspark/sql/connect/streaming/worker/foreach_batch_worker.py
similarity index 100%
rename from python/pyspark/sql/connect/streaming/worker/foreachBatch_worker.py
rename to python/pyspark/sql/connect/streaming/worker/foreach_batch_worker.py
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py b/python/pyspark/sql/tests/connect/streaming/test_parity_foreach_batch.py
similarity index 79%
rename from python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py
rename to python/pyspark/sql/tests/connect/streaming/test_parity_foreach_batch.py
index 01108c95391bf..74371b6d4070a 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_foreachBatch.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_foreach_batch.py
@@ -17,23 +17,23 @@
 
 import unittest
 
-from pyspark.sql.tests.streaming.test_streaming_foreachBatch import StreamingTestsForeachBatchMixin
+from pyspark.sql.tests.streaming.test_streaming_foreach_batch import StreamingTestsForeachBatchMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
 class StreamingForeachBatchParityTests(StreamingTestsForeachBatchMixin, ReusedConnectTestCase):
     @unittest.skip("SPARK-44463: Error handling needs improvement in connect foreachBatch")
-    def test_streaming_foreachBatch_propagates_python_errors(self):
-        super().test_streaming_foreachBatch_propagates_python_errors
+    def test_streaming_foreach_batch_propagates_python_errors(self):
+        super().test_streaming_foreach_batch_propagates_python_errors()
 
     @unittest.skip("This seems specific to py4j and pinned threads. The intention is unclear")
-    def test_streaming_foreachBatch_graceful_stop(self):
-        super().test_streaming_foreachBatch_graceful_stop()
+    def test_streaming_foreach_batch_graceful_stop(self):
+        super().test_streaming_foreach_batch_graceful_stop()
 
 
 if __name__ == "__main__":
     import unittest
-    from pyspark.sql.tests.connect.streaming.test_parity_foreachBatch import *  # noqa: F401,E501
+    from pyspark.sql.tests.connect.streaming.test_parity_foreach_batch import *  # noqa: F401,E501
 
     try:
         import xmlrunner  # type: ignore[import]
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py b/python/pyspark/sql/tests/streaming/test_streaming_foreach_batch.py
similarity index 92%
rename from python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
rename to python/pyspark/sql/tests/streaming/test_streaming_foreach_batch.py
index d4e185c3d856d..393101a096ea4 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_foreachBatch.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_foreach_batch.py
@@ -21,7 +21,7 @@
 
 
 class StreamingTestsForeachBatchMixin:
-    def test_streaming_foreachBatch(self):
+    def test_streaming_foreach_batch(self):
         q = None
 
         def collectBatch(batch_df, batch_id):
@@ -37,7 +37,7 @@ def collectBatch(batch_df, batch_id):
             if q:
                 q.stop()
 
-    def test_streaming_foreachBatch_tempview(self):
+    def test_streaming_foreach_batch_tempview(self):
         q = None
 
         def collectBatch(batch_df, batch_id):
@@ -59,7 +59,7 @@ def collectBatch(batch_df, batch_id):
             if q:
                 q.stop()
 
-    def test_streaming_foreachBatch_propagates_python_errors(self):
+    def test_streaming_foreach_batch_propagates_python_errors(self):
         from pyspark.errors import StreamingQueryException
 
         q = None
@@ -78,7 +78,7 @@ def collectBatch(df, id):
             if q:
                 q.stop()
 
-    def test_streaming_foreachBatch_graceful_stop(self):
+    def test_streaming_foreach_batch_graceful_stop(self):
         # SPARK-39218: Make foreachBatch streaming query stop gracefully
         def func(batch_df, _):
             batch_df.sparkSession._jvm.java.lang.Thread.sleep(10000)
@@ -95,7 +95,7 @@ class StreamingTestsForeachBatch(StreamingTestsForeachBatchMixin, ReusedSQLTestC
 
 if __name__ == "__main__":
     import unittest
-    from pyspark.sql.tests.streaming.test_streaming_foreachBatch import *  # noqa: F401
+    from pyspark.sql.tests.streaming.test_streaming_foreach_batch import *  # noqa: F401
 
     try:
         import xmlrunner

From 5cc990f5ba716edcb6e0e05075e28a1ce604fd22 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Sun, 27 Aug 2023 21:35:13 -0700
Subject: [PATCH 323/986] [SPARK-44091][YARN][TESTS] Introduce
 `withResourceTypes` to `ResourceRequestTestHelper` to restore `resourceTypes`
 as default value after testing

### What changes were proposed in this pull request?
This pr convert `ResourceRequestTestHelper` from `object` to `trait` and introduce a new function named `withResourceTypes` to `ResourceRequestTestHelper` to restore `resourceTypes` as default value after testing.

### Why are the changes needed?
When test yarn module with command `build/sbt "yarn/test" -Pyarn -Dtest.exclude.tags=org.apache.spark.tags.ExtendedLevelDBTest`, there will some test failed in `YarnClusterSuite` like

```
[info] YarnClusterSuite:
[info] - run Spark in yarn-client mode *** FAILED *** (3 seconds, 125 milliseconds)
[info]   FAILED did not equal FINISHED (stdout/stderr was not captured) (BaseYarnClusterSuite.scala:238)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.deploy.yarn.BaseYarnClusterSuite.checkResult(BaseYarnClusterSuite.scala:238)
[info]   at org.apache.spark.deploy.yarn.YarnClusterSuite.testBasicYarnApp(YarnClusterSuite.scala:350)
[info]   at org.apache.spark.deploy.yarn.YarnClusterSuite.$anonfun$new$1(YarnClusterSuite.scala:95)
[info]   at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
[info]   at org.apache.spark.deploy.yarn.BaseYarnClusterSuite.$anonfun$test$1(BaseYarnClusterSuite.scala:77)
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
...
```

and the following error logs will in `unit-tests.log`:

```
23/06/20 16:56:38.056 IPC Server handler 10 on default port 49553 WARN Server: IPC Server handler 10 on default port 49553, call Call#3 Retry#0 org.apache.hadoop.yarn.api.ApplicationClientProtocolPB.getApplicationReport from 127.0.0.1:49561
org.apache.hadoop.yarn.exceptions.ResourceNotFoundException: The resource manager encountered a problem that should not occur under normal circumstances. Please report this error to the Hadoop community by opening a JIRA ticket at http://issues.apache.org/jira and including the following information:
* Resource type requested: custom-resource-type-1
* Resource object: <memory:-1, vCores:-1>
* The stack trace for this exception: java.lang.Exception
  at org.apache.hadoop.yarn.exceptions.ResourceNotFoundException.<init>(ResourceNotFoundException.java:47)
  at org.apache.hadoop.yarn.api.records.Resource.getResourceInformation(Resource.java:264)
  at org.apache.hadoop.yarn.api.records.impl.pb.ResourcePBImpl.setResourceInformation(ResourcePBImpl.java:213)
  at org.apache.hadoop.yarn.api.records.impl.pb.ResourcePBImpl.getProto(ResourcePBImpl.java:61)
  at org.apache.hadoop.yarn.api.records.impl.pb.ProtoUtils.convertToProtoFormat(ProtoUtils.java:463)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationResourceUsageReportPBImpl.convertToProtoFormat(ApplicationResourceUsageReportPBImpl.java:289)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationResourceUsageReportPBImpl.mergeLocalToBuilder(ApplicationResourceUsageReportPBImpl.java:91)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationResourceUsageReportPBImpl.mergeLocalToProto(ApplicationResourceUsageReportPBImpl.java:122)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationResourceUsageReportPBImpl.getProto(ApplicationResourceUsageReportPBImpl.java:63)
  at org.apache.hadoop.yarn.api.records.impl.pb.ProtoUtils.convertToProtoFormat(ProtoUtils.java:247)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationReportPBImpl.convertToProtoFormat(ApplicationReportPBImpl.java:560)
  at org.apache.hadoop.yarn.api.records.impl.pb.ApplicationReportPBImpl.setApplicationResourceUsageReport(ApplicationReportPBImpl.java:100)
  at org.apache.hadoop.yarn.server.utils.BuilderUtils.newApplicationReport(BuilderUtils.java:406)
  at org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl.createAndGetApplicationReport(RMAppImpl.java:779)
  at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.getApplicationReport(ClientRMService.java:429)
  at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.getApplicationReport(ApplicationClientProtocolPBServiceImpl.java:247)
  at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:615)
  at org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:621)
  at org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:589)
  at org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:573)
  at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1213)
  at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1089)
  at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1012)
  at java.security.AccessController.doPrivileged(Native Method)
  at javax.security.auth.Subject.doAs(Subject.java:422)
  at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
  at org.apache.hadoop.ipc.Server$Handler.run(Server.java:3026)
...
```

then mvn test will also have similar failure results

```
build/mvn clean install -pl resource-managers/yarn -Pyarn -Dtest.exclude.tags=org.apache.spark.tags.ExtendedLevelDBTest
```

```
YarnClusterSuite:
2023-06-20 09:47:45.531:INFO::ScalaTest-main-running-DiscoverySuite: Logging initialized 7792ms to org.eclipse.jetty.util.log.StdErrLog
- run Spark in yarn-client mode *** FAILED ***
  FAILED did not equal FINISHED (stdout/stderr was not captured) (BaseYarnClusterSuite.scala:238)
- run Spark in yarn-cluster mode *** FAILED ***
  FAILED did not equal FINISHED (stdout/stderr was not captured) (BaseYarnClusterSuite.scala:238)
- run Spark in yarn-client mode with unmanaged am
- run Spark in yarn-client mode with different configurations, ensuring redaction
- run Spark in yarn-cluster mode with different configurations, ensuring redaction *** FAILED ***
  FAILED did not equal FINISHED (stdout/stderr was not captured) (BaseYarnClusterSuite.scala:238)
- yarn-cluster should respect conf overrides in SparkHadoopUtil (SPARK-16414, SPARK-23630) *** FAILED ***
  FAILED did not equal FINISHED (stdout/stderr was not captured) (BaseYarnClusterSuite.scala:238)
```

The call to `ResourceUtils.reinitializeResources` will fill  private static variable contents of `ResourceUtils`, like:

```
private static final Map<String, Integer> RESOURCE_NAME_TO_INDEX = new ConcurrentHashMap<String, Integer>();
private static volatile Map<String, ResourceInformation> resourceTypes;
private static volatile Map<String, ResourceInformation> nonCountableResourceTypes;
private static volatile ResourceInformation[] resourceTypesArray;
private static volatile Map<String, ResourceInformation> readOnlyNodeResources;
```

and these static variable will not be cleaned up automatically, this may cause different test cases to misuse these shared variables and unexpectedly fail in certain specific scenarios, so this pr use the new function `withResourceTypes` to restore `resourceTypes` as default value after testing.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual checked

```
build/sbt "yarn/test" -Pyarn -Dtest.exclude.tags=org.apache.spark.tags.ExtendedLevelDBTest
```

and

```
build/mvn clean install -pl resource-managers/yarn -Pyarn -Dtest.exclude.tags=org.apache.spark.tags.ExtendedLevelDBTest
```

can run successfully after this pr

Closes #41673 from LuciferYang/SPARK-44091.

Lead-authored-by: yangjie01 <yangjie01@baidu.com>
Co-authored-by: YangJie <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit de96a86d9dc3b32d87deb5a49a4a2d0f6add98a0)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/deploy/yarn/ClientSuite.scala       | 172 ++++++------
 .../yarn/ResourceRequestHelperSuite.scala     |  37 +--
 .../yarn/ResourceRequestTestHelper.scala      |  13 +-
 .../deploy/yarn/YarnAllocatorSuite.scala      | 252 +++++++++---------
 4 files changed, 250 insertions(+), 224 deletions(-)

diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
index ba116c27716da..b7fb409ebc359 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
@@ -55,7 +55,9 @@ import org.apache.spark.resource.ResourceID
 import org.apache.spark.resource.ResourceUtils.AMOUNT
 import org.apache.spark.util.{SparkConfWithEnv, Utils}
 
-class ClientSuite extends SparkFunSuite with Matchers {
+class ClientSuite extends SparkFunSuite
+    with Matchers
+    with ResourceRequestTestHelper {
   private def doReturn(value: Any) = org.mockito.Mockito.doReturn(value, Seq.empty: _*)
 
   import Client._
@@ -473,24 +475,24 @@ class ClientSuite extends SparkFunSuite with Matchers {
   ).foreach { case (deployMode, prefix) =>
     test(s"custom resource request ($deployMode mode)") {
       val resources = Map("fpga" -> 2, "gpu" -> 3)
-      ResourceRequestTestHelper.initializeResourceTypes(resources.keys.toSeq)
+      withResourceTypes(resources.keys.toSeq) {
+        val conf = new SparkConf().set(SUBMIT_DEPLOY_MODE, deployMode)
+        resources.foreach { case (name, v) =>
+          conf.set(s"${prefix}${name}.${AMOUNT}", v.toString)
+        }
 
-      val conf = new SparkConf().set(SUBMIT_DEPLOY_MODE, deployMode)
-      resources.foreach { case (name, v) =>
-        conf.set(s"${prefix}${name}.${AMOUNT}", v.toString)
-      }
+        val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
+        val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
+        val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
 
-      val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
-      val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
-      val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
+        val client = new Client(new ClientArguments(Array()), conf, null)
+        client.createApplicationSubmissionContext(
+          new YarnClientApplication(getNewApplicationResponse, appContext),
+          containerLaunchContext)
 
-      val client = new Client(new ClientArguments(Array()), conf, null)
-      client.createApplicationSubmissionContext(
-        new YarnClientApplication(getNewApplicationResponse, appContext),
-        containerLaunchContext)
-
-      resources.foreach { case (name, value) =>
-        appContext.getResource.getResourceInformation(name).getValue should be (value)
+        resources.foreach { case (name, value) =>
+          appContext.getResource.getResourceInformation(name).getValue should be (value)
+        }
       }
     }
   }
@@ -498,43 +500,45 @@ class ClientSuite extends SparkFunSuite with Matchers {
   test("custom driver resource request yarn config and spark config fails") {
     val conf = new SparkConf().set(SUBMIT_DEPLOY_MODE, "cluster")
     val resources = Map(conf.get(YARN_GPU_DEVICE) -> "gpu", conf.get(YARN_FPGA_DEVICE) -> "fpga")
-    ResourceRequestTestHelper.initializeResourceTypes(resources.keys.toSeq)
-    resources.keys.foreach { yarnName =>
-      conf.set(s"${YARN_DRIVER_RESOURCE_TYPES_PREFIX}${yarnName}.${AMOUNT}", "2")
-    }
-    resources.values.foreach { rName =>
-      conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
-    }
+    withResourceTypes(resources.keys.toSeq) {
+      resources.keys.foreach { yarnName =>
+        conf.set(s"${YARN_DRIVER_RESOURCE_TYPES_PREFIX}${yarnName}.${AMOUNT}", "2")
+      }
+      resources.values.foreach { rName =>
+        conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
+      }
 
-    val error = intercept[SparkException] {
-      ResourceRequestHelper.validateResources(conf)
-    }.getMessage()
+      val error = intercept[SparkException] {
+        ResourceRequestHelper.validateResources(conf)
+      }.getMessage()
 
-    assert(error.contains("Do not use spark.yarn.driver.resource.yarn.io/fpga.amount," +
-      " please use spark.driver.resource.fpga.amount"))
-    assert(error.contains("Do not use spark.yarn.driver.resource.yarn.io/gpu.amount," +
-      " please use spark.driver.resource.gpu.amount"))
+      assert(error.contains("Do not use spark.yarn.driver.resource.yarn.io/fpga.amount," +
+        " please use spark.driver.resource.fpga.amount"))
+      assert(error.contains("Do not use spark.yarn.driver.resource.yarn.io/gpu.amount," +
+        " please use spark.driver.resource.gpu.amount"))
+    }
   }
 
   test("custom executor resource request yarn config and spark config fails") {
     val conf = new SparkConf().set(SUBMIT_DEPLOY_MODE, "cluster")
     val resources = Map(conf.get(YARN_GPU_DEVICE) -> "gpu", conf.get(YARN_FPGA_DEVICE) -> "fpga")
-    ResourceRequestTestHelper.initializeResourceTypes(resources.keys.toSeq)
-    resources.keys.foreach { yarnName =>
-      conf.set(s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${yarnName}.${AMOUNT}", "2")
-    }
-    resources.values.foreach { rName =>
-      conf.set(new ResourceID(SPARK_EXECUTOR_PREFIX, rName).amountConf, "3")
-    }
+    withResourceTypes(resources.keys.toSeq) {
+      resources.keys.foreach { yarnName =>
+        conf.set(s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${yarnName}.${AMOUNT}", "2")
+      }
+      resources.values.foreach { rName =>
+        conf.set(new ResourceID(SPARK_EXECUTOR_PREFIX, rName).amountConf, "3")
+      }
 
-    val error = intercept[SparkException] {
-      ResourceRequestHelper.validateResources(conf)
-    }.getMessage()
+      val error = intercept[SparkException] {
+        ResourceRequestHelper.validateResources(conf)
+      }.getMessage()
 
-    assert(error.contains("Do not use spark.yarn.executor.resource.yarn.io/fpga.amount," +
-      " please use spark.executor.resource.fpga.amount"))
-    assert(error.contains("Do not use spark.yarn.executor.resource.yarn.io/gpu.amount," +
-      " please use spark.executor.resource.gpu.amount"))
+      assert(error.contains("Do not use spark.yarn.executor.resource.yarn.io/fpga.amount," +
+        " please use spark.executor.resource.fpga.amount"))
+      assert(error.contains("Do not use spark.yarn.executor.resource.yarn.io/gpu.amount," +
+        " please use spark.executor.resource.gpu.amount"))
+    }
   }
 
 
@@ -545,30 +549,30 @@ class ClientSuite extends SparkFunSuite with Matchers {
       conf.get(YARN_FPGA_DEVICE) -> "fpga",
       yarnMadeupResource -> "madeup")
 
-    ResourceRequestTestHelper.initializeResourceTypes(resources.keys.toSeq)
-
-    resources.values.foreach { rName =>
-      conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
-    }
-    // also just set yarn one that we don't convert
-    conf.set(s"${YARN_DRIVER_RESOURCE_TYPES_PREFIX}${yarnMadeupResource}.${AMOUNT}", "5")
-    val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
-    val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
-    val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
+    withResourceTypes(resources.keys.toSeq) {
+      resources.values.foreach { rName =>
+        conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
+      }
+      // also just set yarn one that we don't convert
+      conf.set(s"${YARN_DRIVER_RESOURCE_TYPES_PREFIX}${yarnMadeupResource}.${AMOUNT}", "5")
+      val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
+      val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
+      val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
 
-    val client = new Client(new ClientArguments(Array()), conf, null)
-    val newContext = client.createApplicationSubmissionContext(
-      new YarnClientApplication(getNewApplicationResponse, appContext),
-      containerLaunchContext)
+      val client = new Client(new ClientArguments(Array()), conf, null)
+      val newContext = client.createApplicationSubmissionContext(
+        new YarnClientApplication(getNewApplicationResponse, appContext),
+        containerLaunchContext)
 
-    val yarnRInfo = newContext.getResource.getResources
-    val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
-    assert(allResourceInfo.get(conf.get(YARN_GPU_DEVICE)).nonEmpty)
-    assert(allResourceInfo.get(conf.get(YARN_GPU_DEVICE)).get === 3)
-    assert(allResourceInfo.get(conf.get(YARN_FPGA_DEVICE)).nonEmpty)
-    assert(allResourceInfo.get(conf.get(YARN_FPGA_DEVICE)).get === 3)
-    assert(allResourceInfo.get(yarnMadeupResource).nonEmpty)
-    assert(allResourceInfo.get(yarnMadeupResource).get === 5)
+      val yarnRInfo = newContext.getResource.getResources
+      val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
+      assert(allResourceInfo.get(conf.get(YARN_GPU_DEVICE)).nonEmpty)
+      assert(allResourceInfo.get(conf.get(YARN_GPU_DEVICE)).get === 3)
+      assert(allResourceInfo.get(conf.get(YARN_FPGA_DEVICE)).nonEmpty)
+      assert(allResourceInfo.get(conf.get(YARN_FPGA_DEVICE)).get === 3)
+      assert(allResourceInfo.get(yarnMadeupResource).nonEmpty)
+      assert(allResourceInfo.get(yarnMadeupResource).get === 5)
+    }
   }
 
   test("gpu/fpga spark resources mapped to custom yarn resources") {
@@ -579,26 +583,26 @@ class ClientSuite extends SparkFunSuite with Matchers {
     conf.set(YARN_FPGA_DEVICE.key, fpgaCustomName)
     val resources = Map(gpuCustomName -> "gpu",
       fpgaCustomName -> "fpga")
+    withResourceTypes(resources.keys.toSeq) {
+      resources.values.foreach { rName =>
+        conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
+      }
+      val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
+      val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
+      val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
 
-    ResourceRequestTestHelper.initializeResourceTypes(resources.keys.toSeq)
-    resources.values.foreach { rName =>
-      conf.set(new ResourceID(SPARK_DRIVER_PREFIX, rName).amountConf, "3")
-    }
-    val appContext = Records.newRecord(classOf[ApplicationSubmissionContext])
-    val getNewApplicationResponse = Records.newRecord(classOf[GetNewApplicationResponse])
-    val containerLaunchContext = Records.newRecord(classOf[ContainerLaunchContext])
-
-    val client = new Client(new ClientArguments(Array()), conf, null)
-    val newContext = client.createApplicationSubmissionContext(
-      new YarnClientApplication(getNewApplicationResponse, appContext),
-      containerLaunchContext)
+      val client = new Client(new ClientArguments(Array()), conf, null)
+      val newContext = client.createApplicationSubmissionContext(
+        new YarnClientApplication(getNewApplicationResponse, appContext),
+        containerLaunchContext)
 
-    val yarnRInfo = newContext.getResource.getResources
-    val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
-    assert(allResourceInfo.get(gpuCustomName).nonEmpty)
-    assert(allResourceInfo.get(gpuCustomName).get === 3)
-    assert(allResourceInfo.get(fpgaCustomName).nonEmpty)
-    assert(allResourceInfo.get(fpgaCustomName).get === 3)
+      val yarnRInfo = newContext.getResource.getResources
+      val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
+      assert(allResourceInfo.get(gpuCustomName).nonEmpty)
+      assert(allResourceInfo.get(gpuCustomName).get === 3)
+      assert(allResourceInfo.get(fpgaCustomName).nonEmpty)
+      assert(allResourceInfo.get(fpgaCustomName).get === 3)
+    }
   }
 
   test("test yarn jars path not exists") {
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestHelperSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestHelperSuite.scala
index 53b6d192e720d..56ec5a801e4e7 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestHelperSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestHelperSuite.scala
@@ -28,7 +28,9 @@ import org.apache.spark.deploy.yarn.config._
 import org.apache.spark.internal.config.{DRIVER_CORES, DRIVER_MEMORY, EXECUTOR_CORES, EXECUTOR_MEMORY}
 import org.apache.spark.resource.ResourceUtils.AMOUNT
 
-class ResourceRequestHelperSuite extends SparkFunSuite with Matchers {
+class ResourceRequestHelperSuite extends SparkFunSuite
+    with Matchers
+    with ResourceRequestTestHelper {
 
   private val CUSTOM_RES_1 = "custom-resource-type-1"
   private val CUSTOM_RES_2 = "custom-resource-type-2"
@@ -104,17 +106,16 @@ class ResourceRequestHelperSuite extends SparkFunSuite with Matchers {
       val requests = resources.map { case (rName, rValue, rUnit) =>
         (rName, rValue.toString + rUnit)
       }.toMap
-
-      ResourceRequestTestHelper.initializeResourceTypes(resourceDefs)
-
-      val resource = createResource()
-      setResourceRequests(requests, resource)
-
-      resources.foreach { case (rName, rValue, rUnit) =>
-        val requested = resource.getResourceInformation(rName)
-        assert(requested.getName === rName)
-        assert(requested.getValue === rValue)
-        assert(requested.getUnits === rUnit)
+      withResourceTypes(resourceDefs) {
+        val resource = createResource()
+        setResourceRequests(requests, resource)
+
+        resources.foreach { case (rName, rValue, rUnit) =>
+          val requested = resource.getResourceInformation(rName)
+          assert(requested.getName === rName)
+          assert(requested.getValue === rValue)
+          assert(requested.getUnits === rUnit)
+        }
       }
     }
   }
@@ -125,13 +126,13 @@ class ResourceRequestHelperSuite extends SparkFunSuite with Matchers {
     ("invalid unit", CUSTOM_RES_1, "123ppp")
   ).foreach { case (name, key, value) =>
     test(s"invalid request: $name") {
-      ResourceRequestTestHelper.initializeResourceTypes(Seq(key))
-
-      val resource = createResource()
-      val thrown = intercept[IllegalArgumentException] {
-        setResourceRequests(Map(key -> value), resource)
+      withResourceTypes(Seq(key)) {
+        val resource = createResource()
+        val thrown = intercept[IllegalArgumentException] {
+          setResourceRequests(Map(key -> value), resource)
+        }
+        thrown.getMessage should include (key)
       }
-      thrown.getMessage should include (key)
     }
   }
 
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestTestHelper.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestTestHelper.scala
index 19c842f09281c..826bded50f84e 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestTestHelper.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ResourceRequestTestHelper.scala
@@ -22,7 +22,7 @@ import scala.collection.JavaConverters._
 import org.apache.hadoop.yarn.api.records.ResourceTypeInfo
 import org.apache.hadoop.yarn.util.resource.ResourceUtils
 
-object ResourceRequestTestHelper {
+trait ResourceRequestTestHelper {
   def initializeResourceTypes(resourceTypes: Seq[String]): Unit = {
     // ResourceUtils.reinitializeResources() is the YARN-way
     // to specify resources for the execution of the tests.
@@ -38,4 +38,15 @@ object ResourceRequestTestHelper {
 
     ResourceUtils.reinitializeResources(allResourceTypes.asJava)
   }
+
+  /**
+   * `initializeResourceTypes` with inputs, call `f` and
+   * restore `resourceTypes`` as default value.
+   */
+  def withResourceTypes(resourceTypes: Seq[String])(f: => Unit): Unit = {
+    initializeResourceTypes(resourceTypes)
+    try f finally {
+      initializeResourceTypes(Seq.empty)
+    }
+  }
 }
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnAllocatorSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnAllocatorSuite.scala
index 055edfbf76768..f6f2e1b11d58b 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnAllocatorSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnAllocatorSuite.scala
@@ -62,7 +62,10 @@ class MockResolver extends SparkRackResolver(SparkHadoopUtil.get.conf) {
 
 }
 
-class YarnAllocatorSuite extends SparkFunSuite with Matchers with PrivateMethodTester {
+class YarnAllocatorSuite extends SparkFunSuite
+    with Matchers
+    with PrivateMethodTester
+    with ResourceRequestTestHelper {
   val conf = new YarnConfiguration()
   val sparkConf = new SparkConf()
   sparkConf.set(DRIVER_HOST_ADDRESS, "localhost")
@@ -191,135 +194,141 @@ class YarnAllocatorSuite extends SparkFunSuite with Matchers with PrivateMethodT
 
   test("single container allocated with ResourceProfile") {
     val yarnResources = Seq(sparkConf.get(YARN_GPU_DEVICE))
-    ResourceRequestTestHelper.initializeResourceTypes(yarnResources)
-    // create default profile so we get a different id to test below
-    val defaultRProf = ResourceProfile.getOrCreateDefaultProfile(sparkConf)
-    val execReq = new ExecutorResourceRequests().resource("gpu", 6)
-    val taskReq = new TaskResourceRequests().resource("gpu", 1)
-    val rprof = new ResourceProfile(execReq.requests, taskReq.requests)
-    // request a single container and receive it
-    val (handler, _) = createAllocator(0)
+    withResourceTypes(yarnResources) {
+      // create default profile so we get a different id to test below
+      val defaultRProf = ResourceProfile.getOrCreateDefaultProfile(sparkConf)
+      val execReq = new ExecutorResourceRequests().resource("gpu", 6)
+      val taskReq = new TaskResourceRequests().resource("gpu", 1)
+      val rprof = new ResourceProfile(execReq.requests, taskReq.requests)
+      // request a single container and receive it
+      val (handler, _) = createAllocator(0)
+
+      val resourceProfileToTotalExecs = mutable.HashMap(defaultRProf -> 0, rprof -> 1)
+      val numLocalityAwareTasksPerResourceProfileId = mutable.HashMap(rprof.id -> 0)
+      handler.requestTotalExecutorsWithPreferredLocalities(resourceProfileToTotalExecs.toMap,
+        numLocalityAwareTasksPerResourceProfileId.toMap, Map.empty, Set.empty)
 
-    val resourceProfileToTotalExecs = mutable.HashMap(defaultRProf -> 0, rprof -> 1)
-    val numLocalityAwareTasksPerResourceProfileId = mutable.HashMap(rprof.id -> 0)
-    handler.requestTotalExecutorsWithPreferredLocalities(resourceProfileToTotalExecs.toMap,
-      numLocalityAwareTasksPerResourceProfileId.toMap, Map.empty, Set.empty)
+      handler.updateResourceRequests()
+      handler.getNumExecutorsRunning should be (0)
+      handler.getNumContainersPendingAllocate should be (1)
 
-    handler.updateResourceRequests()
-    handler.getNumExecutorsRunning should be (0)
-    handler.getNumContainersPendingAllocate should be (1)
+      val container = createContainer("host1", priority = Priority.newInstance(rprof.id))
+      handler.handleAllocatedContainers(Array(container))
 
-    val container = createContainer("host1", priority = Priority.newInstance(rprof.id))
-    handler.handleAllocatedContainers(Array(container))
+      handler.getNumExecutorsRunning should be (1)
+      handler.allocatedContainerToHostMap.get(container.getId).get should be ("host1")
+      val hostTocontainer = handler.allocatedHostToContainersMapPerRPId(rprof.id)
+      hostTocontainer.get("host1").get should contain(container.getId)
 
-    handler.getNumExecutorsRunning should be (1)
-    handler.allocatedContainerToHostMap.get(container.getId).get should be ("host1")
-    val hostTocontainer = handler.allocatedHostToContainersMapPerRPId(rprof.id)
-    hostTocontainer.get("host1").get should contain(container.getId)
-
-    val size = rmClient.getMatchingRequests(container.getPriority, "host1", containerResource).size
-    size should be (0)
+      val size =
+        rmClient.getMatchingRequests(container.getPriority, "host1", containerResource).size
+      size should be (0)
 
-    ResourceProfile.reInitDefaultProfile(sparkConf)
+      ResourceProfile.reInitDefaultProfile(sparkConf)
+    }
   }
 
   test("multiple containers allocated with ResourceProfiles") {
     val yarnResources = Seq(sparkConf.get(YARN_GPU_DEVICE), sparkConf.get(YARN_FPGA_DEVICE))
-    ResourceRequestTestHelper.initializeResourceTypes(yarnResources)
-    // create default profile so we get a different id to test below
-    val defaultRProf = ResourceProfile.getOrCreateDefaultProfile(sparkConf)
-    val execReq = new ExecutorResourceRequests().resource("gpu", 6)
-    val taskReq = new TaskResourceRequests().resource("gpu", 1)
-    val rprof = new ResourceProfile(execReq.requests, taskReq.requests)
+    withResourceTypes(yarnResources) {
+      // create default profile so we get a different id to test below
+      val defaultRProf = ResourceProfile.getOrCreateDefaultProfile(sparkConf)
+      val execReq = new ExecutorResourceRequests().resource("gpu", 6)
+      val taskReq = new TaskResourceRequests().resource("gpu", 1)
+      val rprof = new ResourceProfile(execReq.requests, taskReq.requests)
 
-    val execReq2 = new ExecutorResourceRequests().memory("8g").resource("fpga", 2)
-    val taskReq2 = new TaskResourceRequests().resource("fpga", 1)
-    val rprof2 = new ResourceProfile(execReq2.requests, taskReq2.requests)
+      val execReq2 = new ExecutorResourceRequests().memory("8g").resource("fpga", 2)
+      val taskReq2 = new TaskResourceRequests().resource("fpga", 1)
+      val rprof2 = new ResourceProfile(execReq2.requests, taskReq2.requests)
 
 
-    // request a single container and receive it
-    val (handler, _) = createAllocator(1)
-    val resourceProfileToTotalExecs = mutable.HashMap(defaultRProf -> 0, rprof -> 1, rprof2 -> 2)
-    val numLocalityAwareTasksPerResourceProfileId = mutable.HashMap(rprof.id -> 0, rprof2.id -> 0)
-    handler.requestTotalExecutorsWithPreferredLocalities(resourceProfileToTotalExecs.toMap,
-      numLocalityAwareTasksPerResourceProfileId.toMap, Map.empty, Set.empty)
-
-    handler.updateResourceRequests()
-    handler.getNumExecutorsRunning should be (0)
-    handler.getNumContainersPendingAllocate should be (3)
-
-    val containerResourcerp2 = Resource.newInstance(10240, 5)
-
-    val container = createContainer("host1", priority = Priority.newInstance(rprof.id))
-    val container2 = createContainer("host2", resource = containerResourcerp2,
-      priority = Priority.newInstance(rprof2.id))
-    val container3 = createContainer("host3", resource = containerResourcerp2,
-      priority = Priority.newInstance(rprof2.id))
-    handler.handleAllocatedContainers(Array(container, container2, container3))
+      // request a single container and receive it
+      val (handler, _) = createAllocator(1)
+      val resourceProfileToTotalExecs = mutable.HashMap(defaultRProf -> 0, rprof -> 1, rprof2 -> 2)
+      val numLocalityAwareTasksPerResourceProfileId = mutable.HashMap(rprof.id -> 0, rprof2.id -> 0)
+      handler.requestTotalExecutorsWithPreferredLocalities(resourceProfileToTotalExecs.toMap,
+        numLocalityAwareTasksPerResourceProfileId.toMap, Map.empty, Set.empty)
 
-    handler.getNumExecutorsRunning should be (3)
-    handler.allocatedContainerToHostMap.get(container.getId).get should be ("host1")
-    handler.allocatedContainerToHostMap.get(container2.getId).get should be ("host2")
-    handler.allocatedContainerToHostMap.get(container3.getId).get should be ("host3")
-
-    val hostTocontainer = handler.allocatedHostToContainersMapPerRPId(rprof.id)
-    hostTocontainer.get("host1").get should contain(container.getId)
-    val hostTocontainer2 = handler.allocatedHostToContainersMapPerRPId(rprof2.id)
-    hostTocontainer2.get("host2").get should contain(container2.getId)
-    hostTocontainer2.get("host3").get should contain(container3.getId)
-
-    val size = rmClient.getMatchingRequests(container.getPriority, "host1", containerResource).size
-    size should be (0)
-
-    ResourceProfile.reInitDefaultProfile(sparkConf)
+      handler.updateResourceRequests()
+      handler.getNumExecutorsRunning should be (0)
+      handler.getNumContainersPendingAllocate should be (3)
+
+      val containerResourcerp2 = Resource.newInstance(10240, 5)
+
+      val container = createContainer("host1", priority = Priority.newInstance(rprof.id))
+      val container2 = createContainer("host2", resource = containerResourcerp2,
+        priority = Priority.newInstance(rprof2.id))
+      val container3 = createContainer("host3", resource = containerResourcerp2,
+        priority = Priority.newInstance(rprof2.id))
+      handler.handleAllocatedContainers(Array(container, container2, container3))
+
+      handler.getNumExecutorsRunning should be (3)
+      handler.allocatedContainerToHostMap.get(container.getId).get should be ("host1")
+      handler.allocatedContainerToHostMap.get(container2.getId).get should be ("host2")
+      handler.allocatedContainerToHostMap.get(container3.getId).get should be ("host3")
+
+      val hostTocontainer = handler.allocatedHostToContainersMapPerRPId(rprof.id)
+      hostTocontainer.get("host1").get should contain(container.getId)
+      val hostTocontainer2 = handler.allocatedHostToContainersMapPerRPId(rprof2.id)
+      hostTocontainer2.get("host2").get should contain(container2.getId)
+      hostTocontainer2.get("host3").get should contain(container3.getId)
+
+      val size =
+        rmClient.getMatchingRequests(container.getPriority, "host1", containerResource).size
+      size should be (0)
+
+      ResourceProfile.reInitDefaultProfile(sparkConf)
+    }
   }
 
   test("custom resource requested from yarn") {
-    ResourceRequestTestHelper.initializeResourceTypes(List("gpu"))
-
-    val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
-    val (handler, _) = createAllocator(1, mockAmClient,
-      Map(s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${GPU}.${AMOUNT}" -> "2G"))
-
-    handler.updateResourceRequests()
-    val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
-    val container = createContainer("host1", resource = defaultResource)
-    handler.handleAllocatedContainers(Array(container))
-
-    // get amount of memory and vcores from resource, so effectively skipping their validation
-    val expectedResources = Resource.newInstance(defaultResource.getMemorySize(),
-      defaultResource.getVirtualCores)
-    setResourceRequests(Map("gpu" -> "2G"), expectedResources)
-    val captor = ArgumentCaptor.forClass(classOf[ContainerRequest])
+    withResourceTypes(List("gpu")) {
+      val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
+      val (handler, _) = createAllocator(1, mockAmClient,
+        Map(s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${GPU}.${AMOUNT}" -> "2G"))
 
-    verify(mockAmClient).addContainerRequest(captor.capture())
-    val containerRequest: ContainerRequest = captor.getValue
-    assert(containerRequest.getCapability === expectedResources)
+      handler.updateResourceRequests()
+      val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
+      val container = createContainer("host1", resource = defaultResource)
+      handler.handleAllocatedContainers(Array(container))
+
+      // get amount of memory and vcores from resource, so effectively skipping their validation
+      val expectedResources = Resource.newInstance(defaultResource.getMemorySize(),
+        defaultResource.getVirtualCores)
+      setResourceRequests(Map("gpu" -> "2G"), expectedResources)
+      val captor = ArgumentCaptor.forClass(classOf[ContainerRequest])
+
+      verify(mockAmClient).addContainerRequest(captor.capture())
+      val containerRequest: ContainerRequest = captor.getValue
+      assert(containerRequest.getCapability === expectedResources)
+    }
   }
 
   test("custom spark resource mapped to yarn resource configs") {
     val yarnMadeupResource = "yarn.io/madeup"
     val yarnResources = Seq(sparkConf.get(YARN_GPU_DEVICE), sparkConf.get(YARN_FPGA_DEVICE),
       yarnMadeupResource)
-    ResourceRequestTestHelper.initializeResourceTypes(yarnResources)
-    val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
-    val madeupConfigName = s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${yarnMadeupResource}.${AMOUNT}"
-    val sparkResources =
-      Map(EXECUTOR_GPU_ID.amountConf -> "3",
-        EXECUTOR_FPGA_ID.amountConf -> "2",
-        madeupConfigName -> "5")
-    val (handler, _) = createAllocator(1, mockAmClient, sparkResources)
+    withResourceTypes(yarnResources) {
+      val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
+      val madeupConfigName =
+        s"${YARN_EXECUTOR_RESOURCE_TYPES_PREFIX}${yarnMadeupResource}.${AMOUNT}"
+      val sparkResources =
+        Map(EXECUTOR_GPU_ID.amountConf -> "3",
+          EXECUTOR_FPGA_ID.amountConf -> "2",
+          madeupConfigName -> "5")
+      val (handler, _) = createAllocator(1, mockAmClient, sparkResources)
 
-    handler.updateResourceRequests()
-    val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
-    val yarnRInfo = defaultResource.getResources
-    val allResourceInfo = yarnRInfo.map( rInfo => (rInfo.getName -> rInfo.getValue) ).toMap
-    assert(allResourceInfo.get(sparkConf.get(YARN_GPU_DEVICE)).nonEmpty)
-    assert(allResourceInfo.get(sparkConf.get(YARN_GPU_DEVICE)).get === 3)
-    assert(allResourceInfo.get(sparkConf.get(YARN_FPGA_DEVICE)).nonEmpty)
-    assert(allResourceInfo.get(sparkConf.get(YARN_FPGA_DEVICE)).get === 2)
-    assert(allResourceInfo.get(yarnMadeupResource).nonEmpty)
-    assert(allResourceInfo.get(yarnMadeupResource).get === 5)
+      handler.updateResourceRequests()
+      val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
+      val yarnRInfo = defaultResource.getResources
+      val allResourceInfo = yarnRInfo.map( rInfo => (rInfo.getName -> rInfo.getValue) ).toMap
+      assert(allResourceInfo.get(sparkConf.get(YARN_GPU_DEVICE)).nonEmpty)
+      assert(allResourceInfo.get(sparkConf.get(YARN_GPU_DEVICE)).get === 3)
+      assert(allResourceInfo.get(sparkConf.get(YARN_FPGA_DEVICE)).nonEmpty)
+      assert(allResourceInfo.get(sparkConf.get(YARN_FPGA_DEVICE)).get === 2)
+      assert(allResourceInfo.get(yarnMadeupResource).nonEmpty)
+      assert(allResourceInfo.get(yarnMadeupResource).get === 5)
+    }
   }
 
   test("gpu/fpga spark resource mapped to custom yarn resource") {
@@ -331,21 +340,22 @@ class YarnAllocatorSuite extends SparkFunSuite with Matchers with PrivateMethodT
       sparkConf.set(YARN_GPU_DEVICE.key, gpuCustomName)
       sparkConf.set(YARN_FPGA_DEVICE.key, fpgaCustomName)
       val yarnResources = Seq(gpuCustomName, fpgaCustomName)
-      ResourceRequestTestHelper.initializeResourceTypes(yarnResources)
-      val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
-      val sparkResources =
-        Map(EXECUTOR_GPU_ID.amountConf -> "3",
-          EXECUTOR_FPGA_ID.amountConf -> "2")
-      val (handler, _) = createAllocator(1, mockAmClient, sparkResources)
-
-      handler.updateResourceRequests()
-      val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
-      val yarnRInfo = defaultResource.getResources
-      val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
-      assert(allResourceInfo.get(gpuCustomName).nonEmpty)
-      assert(allResourceInfo.get(gpuCustomName).get === 3)
-      assert(allResourceInfo.get(fpgaCustomName).nonEmpty)
-      assert(allResourceInfo.get(fpgaCustomName).get === 2)
+      withResourceTypes(yarnResources) {
+        val mockAmClient = mock(classOf[AMRMClient[ContainerRequest]])
+        val sparkResources =
+          Map(EXECUTOR_GPU_ID.amountConf -> "3",
+            EXECUTOR_FPGA_ID.amountConf -> "2")
+        val (handler, _) = createAllocator(1, mockAmClient, sparkResources)
+
+        handler.updateResourceRequests()
+        val defaultResource = handler.rpIdToYarnResource.get(defaultRPId)
+        val yarnRInfo = defaultResource.getResources
+        val allResourceInfo = yarnRInfo.map(rInfo => (rInfo.getName -> rInfo.getValue)).toMap
+        assert(allResourceInfo.get(gpuCustomName).nonEmpty)
+        assert(allResourceInfo.get(gpuCustomName).get === 3)
+        assert(allResourceInfo.get(fpgaCustomName).nonEmpty)
+        assert(allResourceInfo.get(fpgaCustomName).get === 2)
+      }
     } finally {
       sparkConf.set(YARN_GPU_DEVICE.key, originalGpu)
       sparkConf.set(YARN_FPGA_DEVICE.key, originalFpga)

From f33a13c4b165e4ae5099703c308a2715463a479a Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 28 Aug 2023 15:46:57 +0900
Subject: [PATCH 324/986] [SPARK-44980][PYTHON][CONNECT] Fix inherited
 namedtuples to work in createDataFrame

### What changes were proposed in this pull request?

This PR fixes the bug in createDataFrame with Python Spark Connect client. Now it respects inherited namedtuples as below:

```python
from collections import namedtuple
MyTuple = namedtuple("MyTuple", ["zz", "b", "a"])

class MyInheritedTuple(MyTuple):
    pass

df = spark.createDataFrame([MyInheritedTuple(1, 2, 3), MyInheritedTuple(11, 22, 33)])
df.collect()
```

Before:

```
[Row(zz=None, b=None, a=None), Row(zz=None, b=None, a=None)]
```

After:

```
[Row(zz=1, b=2, a=3), Row(zz=11, b=22, a=33)]
```

### Why are the changes needed?

This is already supported without Spark Connect. We should match the behaviour for consistent API support.

### Does this PR introduce _any_ user-facing change?

Yes, as described above. It fixes a bug,

### How was this patch tested?

Manually tested as described above, and unittests were added.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42693 from HyukjinKwon/SPARK-44980.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5291c6c9274aaabd4851d70e4c1baad629e12cca)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/conversion.py      | 12 ++++++++--
 .../sql/tests/connect/test_parity_arrow.py    |  3 +++
 python/pyspark/sql/tests/test_arrow.py        | 24 +++++++++++++++++++
 3 files changed, 37 insertions(+), 2 deletions(-)

diff --git a/python/pyspark/sql/connect/conversion.py b/python/pyspark/sql/connect/conversion.py
index cdbc3a1e39c08..1afeb3dfd446a 100644
--- a/python/pyspark/sql/connect/conversion.py
+++ b/python/pyspark/sql/connect/conversion.py
@@ -117,7 +117,11 @@ def convert_struct(value: Any) -> Any:
                     ), f"{type(value)} {value}"
 
                     _dict = {}
-                    if not isinstance(value, Row) and hasattr(value, "__dict__"):
+                    if (
+                        not isinstance(value, Row)
+                        and not isinstance(value, tuple)  # inherited namedtuple
+                        and hasattr(value, "__dict__")
+                    ):
                         value = value.__dict__
                     if isinstance(value, dict):
                         for i, field in enumerate(field_names):
@@ -274,7 +278,11 @@ def convert(data: Sequence[Any], schema: StructType) -> "pa.Table":
         pylist: List[List] = [[] for _ in range(len(column_names))]
 
         for item in data:
-            if not isinstance(item, Row) and hasattr(item, "__dict__"):
+            if (
+                not isinstance(item, Row)
+                and not isinstance(item, tuple)  # inherited namedtuple
+                and hasattr(item, "__dict__")
+            ):
                 item = item.__dict__
             if isinstance(item, dict):
                 for i, col in enumerate(column_names):
diff --git a/python/pyspark/sql/tests/connect/test_parity_arrow.py b/python/pyspark/sql/tests/connect/test_parity_arrow.py
index 5f76cafb1927f..a92ef971cd216 100644
--- a/python/pyspark/sql/tests/connect/test_parity_arrow.py
+++ b/python/pyspark/sql/tests/connect/test_parity_arrow.py
@@ -142,6 +142,9 @@ def test_createDataFrame_udt(self):
     def test_toPandas_udt(self):
         self.check_toPandas_udt(True)
 
+    def test_create_dataframe_namedtuples(self):
+        self.check_create_dataframe_namedtuples(True)
+
 
 if __name__ == "__main__":
     from pyspark.sql.tests.connect.test_parity_arrow import *  # noqa: F401
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 1b81ed72b22b2..73b6067373b07 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -23,6 +23,7 @@
 import warnings
 from distutils.version import LooseVersion
 from typing import cast
+from collections import namedtuple
 
 from pyspark import SparkContext, SparkConf
 from pyspark.sql import Row, SparkSession
@@ -1214,6 +1215,29 @@ def check_toPandas_udt(self, arrow_enabled):
 
         assert_frame_equal(pdf, expected)
 
+    def test_create_dataframe_namedtuples(self):
+        # SPARK-44980: Inherited namedtuples in createDataFrame
+        for arrow_enabled in [True, False]:
+            with self.subTest(arrow_enabled=arrow_enabled):
+                self.check_create_dataframe_namedtuples(arrow_enabled)
+
+    def check_create_dataframe_namedtuples(self, arrow_enabled):
+        MyTuple = namedtuple("MyTuple", ["a", "b", "c"])
+
+        class MyInheritedTuple(MyTuple):
+            pass
+
+        with self.sql_conf(
+            {
+                "spark.sql.execution.arrow.pyspark.enabled": arrow_enabled,
+            }
+        ):
+            df = self.spark.createDataFrame([MyInheritedTuple(1, 2, 3)])
+            self.assertEqual(df.first(), Row(a=1, b=2, c=3))
+
+            df = self.spark.createDataFrame([MyInheritedTuple(1, 2, MyInheritedTuple(1, 2, 3))])
+            self.assertEqual(df.first(), Row(a=1, b=2, c=Row(a=1, b=2, c=3)))
+
 
 @unittest.skipIf(
     not have_pandas or not have_pyarrow,

From c9e5e624e0491610f107ff4cec569aa88779d4fa Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Mon, 28 Aug 2023 16:09:18 +0800
Subject: [PATCH 325/986] [MINOR][SQL][DOC] Fix incorrect link in sql menu and
 typo

### What changes were proposed in this pull request?

 Fix incorrect link in sql menu and typo.

### Why are the changes needed?

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

run `SKIP_API=1 bundle exec jekyll build`

![image](https://github.com/apache/spark/assets/17894939/7cc564ec-41cd-4e92-b19e-d33a53188a10)

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42697 from wForget/doc.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 421ff4e3c047865a1887cae94b85dbf40bb7bac9)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/_data/menu-sql.yaml    | 4 ++--
 docs/sql-getting-started.md | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/_data/menu-sql.yaml b/docs/_data/menu-sql.yaml
index 62ad6a3a5854f..ff93f09a83ce1 100644
--- a/docs/_data/menu-sql.yaml
+++ b/docs/_data/menu-sql.yaml
@@ -17,8 +17,8 @@
       url: sql-getting-started.html#interoperating-with-rdds
     - text: Scalar Functions
       url: sql-getting-started.html#scalar-functions
-    - text: Aggregations
-      url: sql-getting-started.html#aggregations
+    - text: Aggregate Functions
+      url: sql-getting-started.html#aggregate-functions
 - text: Data Sources
   url: sql-data-sources.html
   subitems:
diff --git a/docs/sql-getting-started.md b/docs/sql-getting-started.md
index 4fb7e9071ce97..ed2678fdcd427 100644
--- a/docs/sql-getting-started.md
+++ b/docs/sql-getting-started.md
@@ -357,7 +357,7 @@ Scalar functions are functions that return a single value per row, as opposed to
 
 ## Aggregate Functions
 
-Aggregate functions are functions that return a single value on a group of rows. The [Built-in Aggregation Functions](sql-ref-functions-builtin.html#aggregate-functions) provide common aggregations such as `count()`, `count_distinct()`, `avg()`, `max()`, `min()`, etc.
+Aggregate functions are functions that return a single value on a group of rows. The [Built-in Aggregate Functions](sql-ref-functions-builtin.html#aggregate-functions) provide common aggregations such as `count()`, `count_distinct()`, `avg()`, `max()`, `min()`, etc.
 Users are not limited to the predefined aggregate functions and can create their own. For more details
 about user defined aggregate functions, please refer to the documentation of
 [User Defined Aggregate Functions](sql-ref-functions-udf-aggregate.html).

From b86a4a8649a3f8a97d5cff28d70282465042a396 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 28 Aug 2023 17:34:32 +0900
Subject: [PATCH 326/986] [SPARK-44981][PYTHON][CONNECT] Filter out static
 configurations used in local mode

### What changes were proposed in this pull request?

This PR is a kind of a followup of https://github.com/apache/spark/pull/42548. This PR proposes to filter static configurations out in remote=local mode.

### Why are the changes needed?

Otherwise, it shows a bunch of warnings as below:

```
23/08/28 11:39:42 ERROR ErrorUtils: Spark Connect RPC error during: config. UserId: hyukjin.kwon. SessionId: 424674ef-af95-4b12-b10e-86479413f9fd.
org.apache.spark.sql.AnalysisException: Cannot modify the value of a static config: spark.connect.copyFromLocalToFs.allowDestLocal.
	at org.apache.spark.sql.errors.QueryCompilationErrors$.cannotModifyValueOfStaticConfigError(QueryCompilationErrors.scala:3227)
	at org.apache.spark.sql.RuntimeConfig.requireNonStaticConf(RuntimeConfig.scala:162)
	at org.apache.spark.sql.RuntimeConfig.set(RuntimeConfig.scala:42)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1(SparkConnectConfigHandler.scala:67)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1$adapted(SparkConnectConfigHandler.scala:65)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleSet(SparkConnectConfigHandler.scala:65)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:40)
	at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:120)
	at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:751)
	at org.sparkproject.connect.grpc.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:346)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:860)
	at org.sparkproject.connect.grpc.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
	at org.sparkproject.connect.grpc.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
```

In fact, we do support to set static configurations (and all other configurations) when `remote` is specific to `local`.

### Does this PR introduce _any_ user-facing change?

No, the main change has not been released out yet.

### How was this patch tested?

Manually tested.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42694 from HyukjinKwon/SPARK-44981.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 64636aff61aa473c8fc81c0bb3311e1fe824dc20)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/session.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 2905f7e42694b..628eae2051122 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -883,6 +883,14 @@ def create_conf(**kwargs: Any) -> SparkConf:
                 PySparkSession(
                     SparkContext.getOrCreate(create_conf(loadDefaults=True, _jvm=SparkContext._jvm))
                 )
+
+                # Lastly remove all static configurations that are not allowed to set in the regular
+                # Spark Connect session.
+                jvm = SparkContext._jvm
+                utl = jvm.org.apache.spark.sql.api.python.PythonSQLUtils  # type: ignore[union-attr]
+                for conf_set in utl.listStaticSQLConfigs():
+                    opts.pop(conf_set._1(), None)
+
             finally:
                 if origin_remote is not None:
                     os.environ["SPARK_REMOTE"] = origin_remote

From c831bd79fba036d121a5d1f24cfc75be4006f4c9 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 28 Aug 2023 17:36:20 +0900
Subject: [PATCH 327/986] [SPARK-44982][CONNECT] Mark Spark Connect server
 configurations as static

This PR proposes to mark all Spark Connect server configurations as static configurations.

They are already static configurations, and cannot be set in runtime configuration (by default), see also https://github.com/apache/spark/blob/4a4856207d414ba88a8edabeb70e20765460ef1a/sql/core/src/main/scala/org/apache/spark/sql/RuntimeConfig.scala#L164-L167

No, they are already static configurations.

Existing unittests.

No.

Closes #42695 from HyukjinKwon/SPARK-44982.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5b69dfd67e35f8be742a58cbd55f33088b4c7704)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/connect/config/Connect.scala    | 37 +++++++++----------
 1 file changed, 18 insertions(+), 19 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 054ccbe67077c..7b8b05ce11a82 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -18,7 +18,6 @@ package org.apache.spark.sql.connect.config
 
 import java.util.concurrent.TimeUnit
 
-import org.apache.spark.internal.config.ConfigBuilder
 import org.apache.spark.network.util.ByteUnit
 import org.apache.spark.sql.connect.common.config.ConnectCommon
 
@@ -26,13 +25,13 @@ object Connect {
   import org.apache.spark.sql.internal.SQLConf.buildStaticConf
 
   val CONNECT_GRPC_BINDING_PORT =
-    ConfigBuilder("spark.connect.grpc.binding.port")
+    buildStaticConf("spark.connect.grpc.binding.port")
       .version("3.4.0")
       .intConf
       .createWithDefault(ConnectCommon.CONNECT_GRPC_BINDING_PORT)
 
   val CONNECT_GRPC_INTERCEPTOR_CLASSES =
-    ConfigBuilder("spark.connect.grpc.interceptor.classes")
+    buildStaticConf("spark.connect.grpc.interceptor.classes")
       .doc(
         "Comma separated list of class names that must " +
           "implement the io.grpc.ServerInterceptor interface.")
@@ -41,7 +40,7 @@ object Connect {
       .createOptional
 
   val CONNECT_GRPC_ARROW_MAX_BATCH_SIZE =
-    ConfigBuilder("spark.connect.grpc.arrow.maxBatchSize")
+    buildStaticConf("spark.connect.grpc.arrow.maxBatchSize")
       .doc(
         "When using Apache Arrow, limit the maximum size of one arrow batch, in bytes unless " +
           "otherwise specified, that can be sent from server side to client side. Currently, we " +
@@ -51,7 +50,7 @@ object Connect {
       .createWithDefault(4 * 1024 * 1024)
 
   val CONNECT_GRPC_MAX_INBOUND_MESSAGE_SIZE =
-    ConfigBuilder("spark.connect.grpc.maxInboundMessageSize")
+    buildStaticConf("spark.connect.grpc.maxInboundMessageSize")
       .doc("Sets the maximum inbound message in bytes size for the gRPC requests." +
         "Requests with a larger payload will fail.")
       .version("3.4.0")
@@ -59,7 +58,7 @@ object Connect {
       .createWithDefault(ConnectCommon.CONNECT_GRPC_MAX_MESSAGE_SIZE)
 
   val CONNECT_GRPC_MARSHALLER_RECURSION_LIMIT =
-    ConfigBuilder("spark.connect.grpc.marshallerRecursionLimit")
+    buildStaticConf("spark.connect.grpc.marshallerRecursionLimit")
       .internal()
       .doc("""
           |Sets the recursion limit to grpc protobuf messages.
@@ -69,7 +68,7 @@ object Connect {
       .createWithDefault(1024)
 
   val CONNECT_EXECUTE_MANAGER_DETACHED_TIMEOUT =
-    ConfigBuilder("spark.connect.execute.manager.detachedTimeout")
+    buildStaticConf("spark.connect.execute.manager.detachedTimeout")
       .internal()
       .doc("Timeout after which executions without an attached RPC will be removed.")
       .version("3.5.0")
@@ -77,7 +76,7 @@ object Connect {
       .createWithDefaultString("5m")
 
   val CONNECT_EXECUTE_MANAGER_MAINTENANCE_INTERVAL =
-    ConfigBuilder("spark.connect.execute.manager.maintenanceInterval")
+    buildStaticConf("spark.connect.execute.manager.maintenanceInterval")
       .internal()
       .doc("Interval at which execution manager will search for abandoned executions to remove.")
       .version("3.5.0")
@@ -85,7 +84,7 @@ object Connect {
       .createWithDefaultString("30s")
 
   val CONNECT_EXECUTE_MANAGER_ABANDONED_TOMBSTONES_SIZE =
-    ConfigBuilder("spark.connect.execute.manager.abandonedTombstonesSize")
+    buildStaticConf("spark.connect.execute.manager.abandonedTombstonesSize")
       .internal()
       .doc("Maximum size of the cache of abandoned executions.")
       .version("3.5.0")
@@ -93,7 +92,7 @@ object Connect {
       .createWithDefaultString("10000")
 
   val CONNECT_EXECUTE_REATTACHABLE_ENABLED =
-    ConfigBuilder("spark.connect.execute.reattachable.enabled")
+    buildStaticConf("spark.connect.execute.reattachable.enabled")
       .internal()
       .doc("Enables reattachable execution on the server. If disabled and a client requests it, " +
         "non-reattachable execution will follow and should run until query completion. This will " +
@@ -104,7 +103,7 @@ object Connect {
       .createWithDefault(true)
 
   val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION =
-    ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamDuration")
+    buildStaticConf("spark.connect.execute.reattachable.senderMaxStreamDuration")
       .internal()
       .doc("For reattachable execution, after this amount of time the response stream will be " +
         "automatically completed and client needs to send a new ReattachExecute RPC to continue. " +
@@ -114,7 +113,7 @@ object Connect {
       .createWithDefaultString("2m")
 
   val CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE =
-    ConfigBuilder("spark.connect.execute.reattachable.senderMaxStreamSize")
+    buildStaticConf("spark.connect.execute.reattachable.senderMaxStreamSize")
       .internal()
       .doc(
         "For reattachable execution, after total responses size exceeds this value, the " +
@@ -125,7 +124,7 @@ object Connect {
       .createWithDefaultString("1g")
 
   val CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE =
-    ConfigBuilder("spark.connect.execute.reattachable.observerRetryBufferSize")
+    buildStaticConf("spark.connect.execute.reattachable.observerRetryBufferSize")
       .internal()
       .doc(
         "For reattachable execution, the total size of responses that were already sent to be " +
@@ -137,7 +136,7 @@ object Connect {
       .createWithDefaultString("1m")
 
   val CONNECT_EXTENSIONS_RELATION_CLASSES =
-    ConfigBuilder("spark.connect.extensions.relation.classes")
+    buildStaticConf("spark.connect.extensions.relation.classes")
       .doc("""
           |Comma separated list of classes that implement the trait
           |org.apache.spark.sql.connect.plugin.RelationPlugin to support custom
@@ -149,7 +148,7 @@ object Connect {
       .createWithDefault(Nil)
 
   val CONNECT_EXTENSIONS_EXPRESSION_CLASSES =
-    ConfigBuilder("spark.connect.extensions.expression.classes")
+    buildStaticConf("spark.connect.extensions.expression.classes")
       .doc("""
           |Comma separated list of classes that implement the trait
           |org.apache.spark.sql.connect.plugin.ExpressionPlugin to support custom
@@ -161,7 +160,7 @@ object Connect {
       .createWithDefault(Nil)
 
   val CONNECT_EXTENSIONS_COMMAND_CLASSES =
-    ConfigBuilder("spark.connect.extensions.command.classes")
+    buildStaticConf("spark.connect.extensions.command.classes")
       .doc("""
              |Comma separated list of classes that implement the trait
              |org.apache.spark.sql.connect.plugin.CommandPlugin to support custom
@@ -173,7 +172,7 @@ object Connect {
       .createWithDefault(Nil)
 
   val CONNECT_JVM_STACK_TRACE_MAX_SIZE =
-    ConfigBuilder("spark.connect.jvmStacktrace.maxSize")
+    buildStaticConf("spark.connect.jvmStacktrace.maxSize")
       .doc("""
           |Sets the maximum stack trace size to display when
           |`spark.sql.pyspark.jvmStacktrace.enabled` is true.
@@ -197,13 +196,13 @@ object Connect {
       .createWithDefault(false)
 
   val CONNECT_UI_STATEMENT_LIMIT =
-    ConfigBuilder("spark.sql.connect.ui.retainedStatements")
+    buildStaticConf("spark.sql.connect.ui.retainedStatements")
       .doc("The number of statements kept in the Spark Connect UI history.")
       .version("3.5.0")
       .intConf
       .createWithDefault(200)
 
-  val CONNECT_UI_SESSION_LIMIT = ConfigBuilder("spark.sql.connect.ui.retainedSessions")
+  val CONNECT_UI_SESSION_LIMIT = buildStaticConf("spark.sql.connect.ui.retainedSessions")
     .doc("The number of client sessions kept in the Spark Connect UI history.")
     .version("3.5.0")
     .intConf

From c230a5011a6d45c0f393833995b052930f11c324 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 28 Aug 2023 15:05:18 +0200
Subject: [PATCH 328/986] [SPARK-44974][CONNECT] Null out
 SparkSession/Dataset/KeyValueGroupedDatset on serialization

### What changes were proposed in this pull request?
This PR changes the serialization for connect `SparkSession`, `Dataset`, and `KeyValueGroupedDataset`. While these were marked as serializable they were not, because they refer to bits and pieces that are not serializable. Even if we were to fix this, then we still have a class clash problem with server side classes that have the same name, but have different structure. the latter can be fixed with serialization proxies, but I am going to hold that until someone actually needs/wants this.

After this PR these classes are serialized as null. This is a somewhat suboptimal solution compared to throwing exceptions on serialization, however this is more compatible compared to the old situation, and makes accidental capture of these classes less of an issue for UDFs.

### Why are the changes needed?
More compatible with the old situation. Improved UX when working with UDFs.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Added tests to `ClientDatasetSuite`, `KeyValueGroupedDatasetE2ETestSuite`, `SparkSessionSuite`, and `UserDefinedFunctionE2ETestSuite`.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42688 from hvanhovell/SPARK-44974.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit f0b04286022e0774d78b9adcf4aeabc181a3ec89)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../main/scala/org/apache/spark/sql/Dataset.scala |  6 ++++++
 .../apache/spark/sql/KeyValueGroupedDataset.scala |  6 ++++++
 .../scala/org/apache/spark/sql/SparkSession.scala |  6 ++++++
 .../org/apache/spark/sql/ClientDatasetSuite.scala |  8 ++++++++
 .../sql/KeyValueGroupedDatasetE2ETestSuite.scala  |  7 +++++++
 .../org/apache/spark/sql/SparkSessionSuite.scala  |  7 +++++++
 .../sql/UserDefinedFunctionE2ETestSuite.scala     | 15 +++++++++++++++
 7 files changed, 55 insertions(+)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index cb7d2c84df564..bdaa4e28ba892 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -3336,4 +3336,10 @@ class Dataset[T] private[sql] (
       result.close()
     }
   }
+
+  /**
+   * We cannot deserialize a connect [[Dataset]] because of a class clash on the server side. We
+   * null out the instance for now.
+   */
+  private def writeReplace(): Any = null
 }
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
index 202891c66d748..88c8b6a4f8bad 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
@@ -979,6 +979,12 @@ private class KeyValueGroupedDatasetImpl[K, V, IK, IV](
       outputEncoder = outputEncoder)
     udf.apply(inputEncoders.map(_ => col("*")): _*).expr.getCommonInlineUserDefinedFunction
   }
+
+  /**
+   * We cannot deserialize a connect [[KeyValueGroupedDataset]] because of a class clash on the
+   * server side. We null out the instance for now.
+   */
+  private def writeReplace(): Any = null
 }
 
 private object KeyValueGroupedDatasetImpl {
diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index e902e04e24611..7882ea6401354 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -714,6 +714,12 @@ class SparkSession private[sql] (
   def clearTags(): Unit = {
     client.clearTags()
   }
+
+  /**
+   * We cannot deserialize a connect [[SparkSession]] because of a class clash on the server side.
+   * We null out the instance for now.
+   */
+  private def writeReplace(): Any = null
 }
 
 // The minimal builder needed to create a spark session.
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
index a521c6745a90c..aab31d97e8c9d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientDatasetSuite.scala
@@ -28,6 +28,7 @@ import org.apache.spark.connect.proto
 import org.apache.spark.sql.connect.client.{DummySparkConnectService, SparkConnectClient}
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.test.ConnectFunSuite
+import org.apache.spark.util.SparkSerDeUtils
 
 // Add sample tests.
 // - sample fraction: simple.sample(0.1)
@@ -172,4 +173,11 @@ class ClientDatasetSuite extends ConnectFunSuite with BeforeAndAfterEach {
     val actualPlan = service.getAndClearLatestInputPlan()
     assert(actualPlan.equals(expectedPlan))
   }
+
+  test("serialize as null") {
+    val session = newSparkSession()
+    val ds = session.range(10)
+    val bytes = SparkSerDeUtils.serialize(ds)
+    assert(SparkSerDeUtils.deserialize[Dataset[Long]](bytes) == null)
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
index 3e979be73a754..98a947826e3de 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/KeyValueGroupedDatasetE2ETestSuite.scala
@@ -24,6 +24,7 @@ import org.apache.spark.sql.functions._
 import org.apache.spark.sql.streaming.{GroupState, GroupStateTimeout}
 import org.apache.spark.sql.test.{QueryTest, SQLHelper}
 import org.apache.spark.sql.types._
+import org.apache.spark.util.SparkSerDeUtils
 
 case class ClickEvent(id: String, timestamp: Timestamp)
 
@@ -630,6 +631,12 @@ class KeyValueGroupedDatasetE2ETestSuite extends QueryTest with SQLHelper {
       30,
       3)
   }
+
+  test("serialize as null") {
+    val kvgds = session.range(10).groupByKey(_ % 2)
+    val bytes = SparkSerDeUtils.serialize(kvgds)
+    assert(SparkSerDeUtils.deserialize[KeyValueGroupedDataset[Long, Long]](bytes) == null)
+  }
 }
 
 case class K1(a: Long)
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
index 90fe8f57d0713..4c858262c6ef5 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionSuite.scala
@@ -23,6 +23,7 @@ import scala.util.control.NonFatal
 import io.grpc.{CallOptions, Channel, ClientCall, ClientInterceptor, MethodDescriptor}
 
 import org.apache.spark.sql.test.ConnectFunSuite
+import org.apache.spark.util.SparkSerDeUtils
 
 /**
  * Tests for non-dataframe related SparkSession operations.
@@ -261,4 +262,10 @@ class SparkSessionSuite extends ConnectFunSuite {
       .create()
       .close()
   }
+
+  test("serialize as null") {
+    val session = SparkSession.builder().create()
+    val bytes = SparkSerDeUtils.serialize(session)
+    assert(SparkSerDeUtils.deserialize[SparkSession](bytes) == null)
+  }
 }
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
index 0af8c78a1da85..fbc2c1c266262 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/UserDefinedFunctionE2ETestSuite.scala
@@ -328,4 +328,19 @@ class UserDefinedFunctionE2ETestSuite extends QueryTest {
       IntegerType)
     checkDataset(session.range(2).select(fn($"id", $"id" + 2)).as[Int], 3, 5)
   }
+
+  test("nullified SparkSession/Dataset/KeyValueGroupedDataset in UDF") {
+    val session: SparkSession = spark
+    import session.implicits._
+    val df = session.range(0, 10, 1, 1)
+    val kvgds = df.groupByKey(_ / 2)
+    val f = udf { (i: Long) =>
+      assert(session == null)
+      assert(df == null)
+      assert(kvgds == null)
+      i + 1
+    }
+    val result = df.select(f($"id")).as[Long].head
+    assert(result == 1L)
+  }
 }

From 12964c26a4511bc21005885e21ef572a69dde7c2 Mon Sep 17 00:00:00 2001
From: vicennial <venkata.gudesa@databricks.com>
Date: Mon, 28 Aug 2023 16:38:25 +0200
Subject: [PATCH 329/986] [SPARK-44867][CONNECT][DOCS] Refactor Spark Connect
 Docs to incorporate Scala setup

### What changes were proposed in this pull request?

This PR refactors the Spark Connect overview docs to include an Interactive (shell/REPL) section and a Standalone application section as well as incorporates new Scala documentation into each of these sections.

### Why are the changes needed?

Currently, there isn't much Scala-relevant documentation available to set up the Scala shell/project/application.

### Does this PR introduce _any_ user-facing change?

Yes, the documentation for the Spark Connect [overview](https://spark.apache.org/docs/latest/spark-connect-overview.html) page is updated.

### How was this patch tested?

Manually generating the docs locally.

Closes #42556 from vicennial/sparkConnectDocs.

Authored-by: vicennial <venkata.gudesa@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit d95e8f3c65e5ae0bf39c0ccc477b7b0910513066)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 docs/spark-connect-overview.md | 204 +++++++++++++++++++++++++++------
 1 file changed, 170 insertions(+), 34 deletions(-)

diff --git a/docs/spark-connect-overview.md b/docs/spark-connect-overview.md
index 1e1464cfba08c..0673763f03bcc 100644
--- a/docs/spark-connect-overview.md
+++ b/docs/spark-connect-overview.md
@@ -113,14 +113,15 @@ Now Spark server is running and ready to accept Spark Connect sessions from clie
 applications. In the next section we will walk through how to use Spark Connect
 when writing client applications.
 
-## Use Spark Connect in client applications
+## Use Spark Connect for interactive analysis
+<div class="codetabs">
 
+<div data-lang="python" markdown="1">
 When creating a Spark session, you can specify that you want to use Spark Connect
 and there are a few ways to do that outlined as follows.
 
 If you do not use one of the mechanisms outlined here, your Spark session will
-work just like before, without leveraging Spark Connect, and your application code
-will run on the Spark driver node.
+work just like before, without leveraging Spark Connect.
 
 ### Set SPARK_REMOTE environment variable
 
@@ -138,9 +139,6 @@ export SPARK_REMOTE="sc://localhost"
 
 And start the Spark shell as usual:
 
-<div class="codetabs">
-
-<div data-lang="python"  markdown="1">
 {% highlight bash %}
 ./bin/pyspark
 {% endhighlight %}
@@ -150,25 +148,6 @@ The PySpark shell is now connected to Spark using Spark Connect as indicated in
 {% highlight python %}
 Client connected to the Spark Connect server at localhost
 {% endhighlight %}
-</div>
-
-</div>
-
-And if you write your own program, create a Spark session as shown in this example:
-
-<div class="codetabs">
-
-<div data-lang="python"  markdown="1">
-{% highlight python %}
-from pyspark.sql import SparkSession
-spark = SparkSession.builder.getOrCreate()
-{% endhighlight %}
-</div>
-
-</div>
-
-This will create a Spark Connect session from your application by reading the
-`SPARK_REMOTE` environment variable we set previously.
 
 ### Specify Spark Connect when creating Spark session
 
@@ -178,9 +157,6 @@ create a Spark session.
 For example, you can launch the PySpark shell with Spark Connect as
 illustrated here.
 
-<div class="codetabs">
-
-<div data-lang="python"  markdown="1">
 To launch the PySpark shell with Spark Connect, simply include the `remote`
 parameter and specify the location of your Spark server. We are using `localhost`
 in this example to connect to the local Spark server we started previously:
@@ -219,29 +195,175 @@ Now you can run PySpark code in the shell to see Spark Connect in action:
 |  2|Maria|
 +---+-----+
 {% endhighlight %}
+
 </div>
 
+<div data-lang="scala"  markdown="1">
+For the Scala shell, we use an Ammonite-based REPL that is currently not included in the Apache Spark package.
+
+To set up the new Scala shell, first download and install [Coursier CLI](https://get-coursier.io/docs/cli-installation).
+Then, install the REPL using the following command in a terminal window:
+{% highlight bash %}
+cs install –-contrib spark-connect-repl
+{% endhighlight %}
+
+And now you can start the Ammonite-based Scala REPL/shell to connect to your Spark server like this:
+
+{% highlight bash %}
+spark-connect-repl
+{% endhighlight %}
+
+A greeting message will appear when the REPL successfully initializes:
+{% highlight bash %}
+Spark session available as 'spark'.
+   _____                  __      ______                            __
+  / ___/____  ____ ______/ /__   / ____/___  ____  ____  ___  _____/ /_
+  \__ \/ __ \/ __ `/ ___/ //_/  / /   / __ \/ __ \/ __ \/ _ \/ ___/ __/
+ ___/ / /_/ / /_/ / /  / ,<    / /___/ /_/ / / / / / / /  __/ /__/ /_
+/____/ .___/\__,_/_/  /_/|_|   \____/\____/_/ /_/_/ /_/\___/\___/\__/
+    /_/
+{% endhighlight %}
+
+By default, the REPL will attempt to connect to a local Spark Server.
+Run the following Scala code in the shell to see Spark Connect in action:
+
+{% highlight scala %}
+@ spark.range(10).count
+res0: Long = 10L
+{% endhighlight %}
+
+### Configure client-server connection
+
+By default, the REPL will attempt to connect to a local Spark Server on port 15002.
+The connection, however, may be configured in several ways as described in this configuration
+[reference](https://github.com/apache/spark/blob/master/connector/connect/docs/client-connection-string.md).
+
+#### Set SPARK_REMOTE environment variable
+
+The SPARK_REMOTE environment variable can be set on the client machine to customize the client-server
+connection that is initialized at REPL startup.
+
+{% highlight bash %}
+export SPARK_REMOTE="sc://myhost.com:443/;token=ABCDEFG"
+spark-connect-repl
+{% endhighlight %}
+or
+{% highlight bash %}
+SPARK_REMOTE="sc://myhost.com:443/;token=ABCDEFG" spark-connect-repl
+{% endhighlight %}
+
+#### Use CLI arguments
+
+The customizations may also be passed in through CLI arguments as shown below:
+{% highlight bash %}
+spark-connect-repl --host myhost.com --port 443 --token ABCDEFG
+{% endhighlight %}
+
+The supported list of CLI arguments may be found [here](https://github.com/apache/spark/blob/master/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkConnectClientParser.scala#L48).
+
+#### Configure programmatically with a connection ctring
+
+The connection may also be programmatically created using _SparkSession#builder_ as in this example:
+{% highlight scala %}
+@ import org.apache.spark.sql.SparkSession
+@ val spark = SparkSession.builder.remote("sc://localhost:443/;token=ABCDEFG").build()
+{% endhighlight %}
+
+</div>
 </div>
 
-Or, when writing your own code, include the `remote` function with a reference to
-your Spark server when you create a Spark session, as in this example:
+## Use Spark Connect in standalone applications
 
 <div class="codetabs">
 
+
 <div data-lang="python"  markdown="1">
+
+First, install PySpark with `pip install pyspark==3.5.0` or if building a packaged PySpark application/library,
+add it your setup.py file as:
+{% highlight python %}
+install_requires=[
+'pyspark==3.5.0'
+]
+{% endhighlight %}
+
+When writing your own code, include the `remote` function with a reference to
+your Spark server when you create a Spark session, as in this example:
+
 {% highlight python %}
 from pyspark.sql import SparkSession
 spark = SparkSession.builder.remote("sc://localhost").getOrCreate()
 {% endhighlight %}
+
+
+For illustration purposes, we’ll create a simple Spark Connect application, SimpleApp.py:
+{% highlight python %}
+"""SimpleApp.py"""
+from pyspark.sql import SparkSession
+
+logFile = "YOUR_SPARK_HOME/README.md"  # Should be some file on your system
+spark = SparkSession.builder.remote("sc://localhost").appName("SimpleApp").getOrCreate()
+logData = spark.read.text(logFile).cache()
+
+numAs = logData.filter(logData.value.contains('a')).count()
+numBs = logData.filter(logData.value.contains('b')).count()
+
+print("Lines with a: %i, lines with b: %i" % (numAs, numBs))
+
+spark.stop()
+{% endhighlight %}
+
+This program just counts the number of lines containing ‘a’ and the number containing ‘b’ in a text file.
+Note that you’ll need to replace YOUR_SPARK_HOME with the location where Spark is installed.
+
+We can run this application with the regular Python interpreter as follows:
+{% highlight python %}
+# Use the Python interpreter to run your application
+$ python SimpleApp.py
+...
+Lines with a: 72, lines with b: 39
+{% endhighlight %}
 </div>
 
+
 <div data-lang="scala"  markdown="1">
+To use Spark Connect as part of a Scala application/project, we first need to include the right dependencies.
+Using the `sbt` build system as an example, we add the following dependencies to the `build.sbt` file: 
+{% highlight sbt %}
+libraryDependencies += "org.apache.spark" %% "spark-sql-api" % "3.5.0"
+libraryDependencies += "org.apache.spark" %% "spark-connect-client-jvm" % "3.5.0"
+{% endhighlight %}
+
+When writing your own code, include the `remote` function with a reference to
+your Spark server when you create a Spark session, as in this example:
+
 {% highlight scala %}
 import org.apache.spark.sql.SparkSession
 val spark = SparkSession.builder().remote("sc://localhost").build()
 {% endhighlight %}
-</div>
 
+
+**Note**: Operations that reference User Defined Code such as UDFs, filter, map, etc require a
+[ClassFinder](https://github.com/apache/spark/blob/bb41cd889efdd0602385e70b4c8f1c93740db332/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ClassFinder.scala#L26)
+to be registered to pickup and upload any required classfiles. Also, any JAR dependencies must be uploaded to the server using `SparkSession#AddArtifact`.
+
+Example:
+{% highlight scala %}
+import org.apache.spark.sql.connect.client.REPLClassDirMonitor
+// Register a ClassFinder to monitor and upload the classfiles from the build output.
+val classFinder = new REPLClassDirMonitor(<ABSOLUTE_PATH_TO_BUILD_OUTPUT_DIR>)
+spark.registerClassFinder(classfinder)
+
+// Upload JAR dependencies
+spark.addArtifact(<ABSOLUTE_PATH_JAR_DEP>)
+{% endhighlight %}
+Here, `ABSOLUTE_PATH_TO_BUILD_OUTPUT_DIR` is the output directory where the build system writes classfiles into
+and `ABSOLUTE_PATH_JAR_DEP` is the location of the JAR on the local file system.
+
+The `REPLClassDirMonitor` is a provided implementation of `ClassFinder` that monitors a specific directory but
+one may implement their own class extending `ClassFinder` for customized search and monitoring.
+
+</div>
 </div>
 
 # Client application authentication
@@ -265,9 +387,23 @@ supported in the [API reference](api/python/reference/index.html) documentation.
 Supported APIs are labeled "Supports Spark Connect" so you can check whether the
 APIs you are using are available before migrating existing code to Spark Connect.
 
-**Scala**: In Spark 3.4, Spark Connect supports most Scala APIs, including
+**Scala**: In Spark 3.5, Spark Connect supports most Scala APIs, including
 [Dataset](api/scala/org/apache/spark/sql/Dataset.html),
-[functions](api/scala/org/apache/spark/sql/functions$.html), and
-[Column](api/scala/org/apache/spark/sql/Column.html).
+[functions](api/scala/org/apache/spark/sql/functions$.html),
+[Column](api/scala/org/apache/spark/sql/Column.html),
+[Catalog](api/scala/org/apache/spark/sql/catalog/Catalog.html) and
+[KeyValueGroupedDataset](api/scala/org/apache/spark/sql/KeyValueGroupedDataset.html).
+
+User-Defined Functions (UDFs) are supported, by default for the shell and in standalone applications with
+additional set-up requirements.
+
+Majority of the Streaming API is supported, including
+[DataStreamReader](api/scala/org/apache/spark/sql/streaming/DataStreamReader.html),
+[DataStreamWriter](api/scala/org/apache/spark/sql/streaming/DataStreamWriter.htmll),
+[StreamingQuery](api/scala/org/apache/spark/sql/streaming/StreamingQuery.html) and
+[StreamingQueryListener](api/scala/org/apache/spark/sql/streaming/StreamingQueryListener.html).
+
+APIs such as [SparkContext](api/scala/org/apache/spark/SparkContext.html)
+and [RDD](api/scala/org/apache/spark/rdd/RDD.html) are deprecated in all Spark Connect versions.
 
 Support for more APIs is planned for upcoming Spark releases.

From fd07239505cff8baafa4f1684034278d41234de7 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 28 Aug 2023 19:53:40 +0200
Subject: [PATCH 330/986] [SPARK-44832][CONNECT] Make transitive dependencies
 work properly for Scala Client
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This PR cleans up the Maven build for the Spark Connect Client and Spark Connect Common. The most important change is that we move `sql-api` from a `provided` to `compile` dependency. The net effect of this is that when a user takes a dependency on the client, all of its required (transitive) dependencies are automatically added.

Please note that this does not address concerns around creating an überjar and shading. That is for a different day :)

### Why are the changes needed?
When you take a dependency on the connect scala client you need to manually add the `sql-api` module as a dependency. This is rather poor UX.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually running maven, checking dependency tree, ...

Closes #42518 from hvanhovell/SPARK-44832.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 50d9a56f824ae51d10543f4573753ff60dc9053b)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 connector/connect/client/jvm/pom.xml          | 48 -------------------
 .../CheckConnectJvmClientCompatibility.scala  | 33 ++++++++++---
 connector/connect/common/pom.xml              |  6 ---
 dev/connect-jvm-client-mima-check             |  2 +-
 4 files changed, 28 insertions(+), 61 deletions(-)

diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index a7e5c5c2bab83..67227ef38eb8f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -39,55 +39,21 @@
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-connect-common_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
-      <exclusions>
-        <exclusion>
-          <groupId>com.google.guava</groupId>
-          <artifactId>guava</artifactId>
-        </exclusion>
-      </exclusions>
     </dependency>
     <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-sql-api_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
-      <scope>provided</scope>
     </dependency>
     <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-sketch_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
     </dependency>
-    <dependency>
-      <groupId>com.google.protobuf</groupId>
-      <artifactId>protobuf-java</artifactId>
-      <scope>compile</scope>
-    </dependency>
     <dependency>
       <groupId>com.google.guava</groupId>
       <artifactId>guava</artifactId>
       <version>${connect.guava.version}</version>
-      <scope>compile</scope>
-    </dependency>
-    <dependency>
-      <groupId>com.google.guava</groupId>
-      <artifactId>failureaccess</artifactId>
-      <version>${guava.failureaccess.version}</version>
-      <scope>compile</scope>
-    </dependency>
-    <dependency>
-      <groupId>io.netty</groupId>
-      <artifactId>netty-codec-http2</artifactId>
-      <version>${netty.version}</version>
-    </dependency>
-    <dependency>
-      <groupId>io.netty</groupId>
-      <artifactId>netty-handler-proxy</artifactId>
-      <version>${netty.version}</version>
-    </dependency>
-    <dependency>
-      <groupId>io.netty</groupId>
-      <artifactId>netty-transport-native-unix-common</artifactId>
-      <version>${netty.version}</version>
     </dependency>
     <dependency>
       <groupId>com.lihaoyi</groupId>
@@ -95,19 +61,6 @@
       <version>${ammonite.version}</version>
       <scope>provided</scope>
     </dependency>
-    <dependency>
-      <groupId>org.apache.spark</groupId>
-      <artifactId>spark-connect-common_${scala.binary.version}</artifactId>
-      <version>${project.version}</version>
-      <type>test-jar</type>
-      <scope>test</scope>
-      <exclusions>
-        <exclusion>
-          <groupId>com.google.guava</groupId>
-          <artifactId>guava</artifactId>
-        </exclusion>
-      </exclusions>
-    </dependency>
     <dependency>
       <groupId>org.scalacheck</groupId>
       <artifactId>scalacheck_${scala.binary.version}</artifactId>
@@ -148,7 +101,6 @@
               <include>org.codehaus.mojo:*</include>
               <include>org.checkerframework:*</include>
               <include>org.apache.spark:spark-connect-common_${scala.binary.version}</include>
-              <include>org.apache.spark:spark-common-utils_${scala.binary.version}</include>
             </includes>
           </artifactSet>
           <relocations>
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 1f599f2346ef0..72b0f02f378dd 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -24,6 +24,7 @@ import java.util.regex.Pattern
 import com.typesafe.tools.mima.core._
 import com.typesafe.tools.mima.lib.MiMaLib
 
+import org.apache.spark.SparkBuildInfo.spark_version
 import org.apache.spark.sql.test.IntegrationTestUtils._
 
 /**
@@ -46,18 +47,38 @@ object CheckConnectJvmClientCompatibility {
     sys.env("SPARK_HOME")
   }
 
+  private val sqlJar = {
+    val path = Paths.get(
+      sparkHome,
+      "sql",
+      "core",
+      "target",
+      "scala-" + scalaVersion,
+      "spark-sql_" + scalaVersion + "-" + spark_version + ".jar")
+    assert(Files.exists(path), s"$path does not exist")
+    path.toFile
+  }
+
+  private val clientJar = {
+    val path = Paths.get(
+      sparkHome,
+      "connector",
+      "connect",
+      "client",
+      "jvm",
+      "target",
+      "scala-" + scalaVersion,
+      "spark-connect-client-jvm_" + scalaVersion + "-" + spark_version + ".jar")
+    assert(Files.exists(path), s"$path does not exist")
+    path.toFile
+  }
+
   def main(args: Array[String]): Unit = {
     var resultWriter: Writer = null
     try {
       resultWriter = Files.newBufferedWriter(
         Paths.get(s"$sparkHome/.connect-mima-check-result"),
         StandardCharsets.UTF_8)
-      val clientJar: File =
-        findJar(
-          "connector/connect/client/jvm",
-          "spark-connect-client-jvm-assembly",
-          "spark-connect-client-jvm")
-      val sqlJar: File = findJar("sql/core", "spark-sql", "spark-sql")
       val problemsWithSqlModule = checkMiMaCompatibilityWithSqlModule(clientJar, sqlJar)
       appendMimaCheckErrorMessageIfNeeded(
         resultWriter,
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index fb261c284d9bd..40de7414051bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -38,7 +38,6 @@
             <groupId>org.apache.spark</groupId>
             <artifactId>spark-sql-api_${scala.binary.version}</artifactId>
             <version>${project.version}</version>
-            <scope>provided</scope>
         </dependency>
         <dependency>
             <groupId>org.scala-lang</groupId>
@@ -47,7 +46,6 @@
         <dependency>
             <groupId>com.google.protobuf</groupId>
             <artifactId>protobuf-java</artifactId>
-            <scope>compile</scope>
         </dependency>
         <dependency>
             <groupId>com.google.guava</groupId>
@@ -85,25 +83,21 @@
             <groupId>io.netty</groupId>
             <artifactId>netty-codec-http2</artifactId>
             <version>${netty.version}</version>
-            <scope>provided</scope>
         </dependency>
         <dependency>
             <groupId>io.netty</groupId>
             <artifactId>netty-handler-proxy</artifactId>
             <version>${netty.version}</version>
-            <scope>provided</scope>
         </dependency>
         <dependency>
             <groupId>io.netty</groupId>
             <artifactId>netty-transport-native-unix-common</artifactId>
             <version>${netty.version}</version>
-            <scope>provided</scope>
         </dependency>
         <dependency> <!-- necessary for Java 9+ -->
             <groupId>org.apache.tomcat</groupId>
             <artifactId>annotations-api</artifactId>
             <version>${tomcat.annotations.api.version}</version>
-            <scope>provided</scope>
         </dependency>
         <!--
           This spark-tags test-dep is needed even though it isn't used in this module,
diff --git a/dev/connect-jvm-client-mima-check b/dev/connect-jvm-client-mima-check
index ac4b95935b9ce..4e0ccbb236771 100755
--- a/dev/connect-jvm-client-mima-check
+++ b/dev/connect-jvm-client-mima-check
@@ -35,7 +35,7 @@ fi
 rm -f .connect-mima-check-result
 
 echo "Build required modules..."
-build/sbt "sql/package;connect-client-jvm/assembly;connect-client-jvm/Test/package;avro/package;protobuf/assembly"
+build/sbt "sql/package;connect-client-jvm/package;connect-client-jvm/Test/package;avro/package;protobuf/assembly"
 
 CONNECT_TEST_CLASSPATH="$(build/sbt -DcopyDependencies=false "export connect-client-jvm/Test/fullClasspath" | grep jar | tail -n1)"
 SQL_CLASSPATH="$(build/sbt -DcopyDependencies=false "export sql/fullClasspath" | grep jar | tail -n1)"

From 179aaab3c48fd6bcce00885d40a2e4a496e0802f Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 29 Aug 2023 11:15:23 +0800
Subject: [PATCH 331/986] [SPARK-43646][CONNECT][TESTS] Make both SBT and Maven
 use `spark-proto` uber jar to test the `connect` module

### What changes were proposed in this pull request?
Before this pr, when we tested the `connect` module, Maven used the shaded `spark-protobuf` jar for testing, while SBT used the original jar for testing, which also led to inconsistent testing behavior. So some tests passed when using SBT, but failed when using Maven:

run

```
build/mvn clean install -DskipTests
build/mvn test -pl connector/connect/server
```

there will be two test failed as follows:

```
- from_protobuf_messageClassName *** FAILED ***
  org.apache.spark.sql.AnalysisException: [CANNOT_LOAD_PROTOBUF_CLASS] Could not load Protobuf class with name org.apache.spark.connect.proto.StorageLevel. org.apache.spark.connect.proto.StorageLevel does not extend shaded Protobuf Message class org.sparkproject.spark_protobuf.protobuf.Message. The jar with Protobuf classes needs to be shaded (com.google.protobuf.* --> org.sparkproject.spark_protobuf.protobuf.*).
  at org.apache.spark.sql.errors.QueryCompilationErrors$.protobufClassLoadError(QueryCompilationErrors.scala:3417)
  at org.apache.spark.sql.protobuf.utils.ProtobufUtils$.buildDescriptorFromJavaClass(ProtobufUtils.scala:193)
  at org.apache.spark.sql.protobuf.utils.ProtobufUtils$.buildDescriptor(ProtobufUtils.scala:151)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.messageDescriptor$lzycompute(ProtobufDataToCatalyst.scala:58)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.messageDescriptor(ProtobufDataToCatalyst.scala:57)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.dataType$lzycompute(ProtobufDataToCatalyst.scala:43)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.dataType(ProtobufDataToCatalyst.scala:42)
  at org.apache.spark.sql.catalyst.expressions.Alias.toAttribute(namedExpressions.scala:194)
  at org.apache.spark.sql.catalyst.plans.logical.Project.$anonfun$output$1(basicLogicalOperators.scala:72)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)

- from_protobuf_messageClassName_options *** FAILED ***
  org.apache.spark.sql.AnalysisException: [CANNOT_LOAD_PROTOBUF_CLASS] Could not load Protobuf class with name org.apache.spark.connect.proto.StorageLevel. org.apache.spark.connect.proto.StorageLevel does not extend shaded Protobuf Message class org.sparkproject.spark_protobuf.protobuf.Message. The jar with Protobuf classes needs to be shaded (com.google.protobuf.* --> org.sparkproject.spark_protobuf.protobuf.*).
  at org.apache.spark.sql.errors.QueryCompilationErrors$.protobufClassLoadError(QueryCompilationErrors.scala:3417)
  at org.apache.spark.sql.protobuf.utils.ProtobufUtils$.buildDescriptorFromJavaClass(ProtobufUtils.scala:193)
  at org.apache.spark.sql.protobuf.utils.ProtobufUtils$.buildDescriptor(ProtobufUtils.scala:151)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.messageDescriptor$lzycompute(ProtobufDataToCatalyst.scala:58)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.messageDescriptor(ProtobufDataToCatalyst.scala:57)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.dataType$lzycompute(ProtobufDataToCatalyst.scala:43)
  at org.apache.spark.sql.protobuf.ProtobufDataToCatalyst.dataType(ProtobufDataToCatalyst.scala:42)
  at org.apache.spark.sql.catalyst.expressions.Alias.toAttribute(namedExpressions.scala:194)
  at org.apache.spark.sql.catalyst.plans.logical.Project.$anonfun$output$1(basicLogicalOperators.scala:72)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
```

So this pr make SBT also use `spark-proto` uber jar(`spark-protobuf-assembly-**-SNAPSHOT.jar`) for the above tests and refactor the test cases to make them pass both SBT and Maven after this pr.

### Why are the changes needed?
Make connect server module can test pass using both SBT and maven.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Github Actions
- Manual check

```
build/mvn clean install -DskipTests
build/mvn test -pl connector/connect/server
```

all test passed after this pr.

Closes #42236 from LuciferYang/protobuf-test.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit df63adf734370f5c2d71a348f9d36658718b302c)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/PlanGenerationTestSuite.scala   |   5 +-
 .../from_protobuf_messageClassName.explain    |   2 +-
 ..._protobuf_messageClassName_options.explain |   2 +-
 .../from_protobuf_messageClassName.json       |   2 +-
 .../from_protobuf_messageClassName.proto.bin  | Bin 125 -> 131 bytes
 ...rom_protobuf_messageClassName_options.json |   2 +-
 ...rotobuf_messageClassName_options.proto.bin | Bin 174 -> 182 bytes
 connector/connect/server/pom.xml              |  88 ++++++++++++++++++
 .../server/src/test/protobuf/test.proto       |  27 ++++++
 project/SparkBuild.scala                      |  55 ++++++++++-
 10 files changed, 175 insertions(+), 8 deletions(-)
 create mode 100644 connector/connect/server/src/test/protobuf/test.proto

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
index 4916ff1f59743..801c8cb0263e7 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
@@ -3232,14 +3232,15 @@ class PlanGenerationTestSuite
     "connect/common/src/test/resources/protobuf-tests/common.desc"
 
   test("from_protobuf messageClassName") {
-    binary.select(pbFn.from_protobuf(fn.col("bytes"), classOf[StorageLevel].getName))
+    binary.select(
+      pbFn.from_protobuf(fn.col("bytes"), "org.apache.spark.sql.protobuf.protos.TestProtoObj"))
   }
 
   test("from_protobuf messageClassName options") {
     binary.select(
       pbFn.from_protobuf(
         fn.col("bytes"),
-        classOf[StorageLevel].getName,
+        "org.apache.spark.sql.protobuf.protos.TestProtoObj",
         Map("recursive.fields.max.depth" -> "2").asJava))
   }
 
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
index e7a1867fe9072..6f48cb090cde5 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
@@ -1,2 +1,2 @@
-Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None) AS from_protobuf(bytes)#0]
+Project [from_protobuf(bytes#0, org.apache.spark.sql.protobuf.protos.TestProtoObj, None) AS from_protobuf(bytes)#0]
 +- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
index c02d829fcac1d..ba87e4774f1af 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
@@ -1,2 +1,2 @@
-Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None, (recursive.fields.max.depth,2)) AS from_protobuf(bytes)#0]
+Project [from_protobuf(bytes#0, org.apache.spark.sql.protobuf.protos.TestProtoObj, None, (recursive.fields.max.depth,2)) AS from_protobuf(bytes)#0]
 +- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
index dc23ac2a117b4..6c5891e701654 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
@@ -20,7 +20,7 @@
           }
         }, {
           "literal": {
-            "string": "org.apache.spark.connect.proto.StorageLevel"
+            "string": "org.apache.spark.sql.protobuf.protos.TestProtoObj"
           }
         }]
       }
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin
index cc46234b7476cfc4d3623315a0016f4a8d2f1b16..9d7aeaf308969f3069e0f06ffcb0bfb21f2be445 100644
GIT binary patch
delta 98
zcmb<zW@O`H5@3|7oyevc5-b(S#hX@?pBrCLlwXpcRGKElDa6jjnp9bmS}bJBWt?T0
pUzDzwSdf^Uk*Zf*kXV$hS6rB*2U87U6zheg7MBEoOz=<20swf5AIJaz

delta 92
zcmZo>tYzb35@3`npU9@^=PTvS#hX@?pBrCLlwXpcRGKElDa6jjnp9bmS}df`rJJRl
sUzDzwSdf^Uk*Zf*kXV$hmz<xMmzrFn2iBn%T#{dun4apBT9%pv0J8fXBme*a

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
index 36f69646ef83d..691e144eabd07 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
@@ -20,7 +20,7 @@
           }
         }, {
           "literal": {
-            "string": "org.apache.spark.connect.proto.StorageLevel"
+            "string": "org.apache.spark.sql.protobuf.protos.TestProtoObj"
           }
         }, {
           "unresolvedFunction": {
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin
index 72a1c6b8207e9bdb15ca23c59df0c962fc6a5eaf..89000e473fac9acaba6b4d0d09937d83777b5113 100644
GIT binary patch
delta 104
zcmZ3-xQ&sGi%Eb{YW+kut*{nGsYXUF-n63p-1vf`{F3~n(ljAXA$Bg-q{@=iVj)v5
v<1EAcqIA8)g2d#ERK4PY#G-7y;=&v~m}&^4ST7{CxFi5%f`3xh#5w~2Kj9(-

delta 96
zcmdnSxQ>yHi%Eb{YWYMqEx%f+YA)WiqWs+Wf};GA{G`$}Ax<H7F4m;VlGI`$eJ<TB
w?fjy2y~KjV<cw6k;)2AYY`x_Cyu8%p5<RdEz2K7kqQvx6pVYF{oQZ7)0Af`iVE_OC

diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..3e8b83a34287f 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -248,6 +248,13 @@
     </dependency>
   </dependencies>
   <build>
+    <extensions>
+      <extension>
+        <groupId>kr.motd.maven</groupId>
+        <artifactId>os-maven-plugin</artifactId>
+        <version>1.6.2</version>
+      </extension>
+    </extensions>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
     <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
     <plugins>
@@ -403,6 +410,87 @@
           </transformers>
         </configuration>
       </plugin>
+      <!--
+        SPARK-43646: In order for `ProtoToParsedPlanTestSuite` to successfully test `from_protobuf_messageClassName`
+        and `from_protobuf_messageClassName_options`, `maven-antrun-plugin` is used to replace all
+        `com.google.protobuf.` with `org.sparkproject.spark_protobuf.protobuf.` in the Java files
+        generated by `protobuf-maven-plugin`.
+      -->
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-antrun-plugin</artifactId>
+        <executions>
+          <execution>
+            <phase>process-test-sources</phase>
+            <configuration>
+              <target>
+                <replace dir="${project.basedir}/target/generated-test-sources"
+                         includes="**/*.java"
+                         token="com.google.protobuf."
+                         value="org.sparkproject.spark_protobuf.protobuf."/>
+              </target>
+            </configuration>
+            <goals>
+              <goal>run</goal>
+            </goals>
+          </execution>
+        </executions>
+      </plugin>
     </plugins>
   </build>
+  <profiles>
+    <profile>
+      <id>default-protoc</id>
+      <activation>
+        <activeByDefault>true</activeByDefault>
+      </activation>
+      <build>
+        <plugins>
+          <!-- Add protobuf-maven-plugin and provide ScalaPB as a code generation plugin -->
+          <plugin>
+            <groupId>org.xolstice.maven.plugins</groupId>
+            <artifactId>protobuf-maven-plugin</artifactId>
+            <version>0.6.1</version>
+            <configuration>
+              <protocArtifact>com.google.protobuf:protoc:${protobuf.version}:exe:${os.detected.classifier}</protocArtifact>
+              <protoTestSourceRoot>src/test/protobuf</protoTestSourceRoot>
+            </configuration>
+            <executions>
+              <execution>
+                <goals>
+                  <goal>test-compile</goal>
+                </goals>
+              </execution>
+            </executions>
+          </plugin>
+        </plugins>
+      </build>
+    </profile>
+    <profile>
+      <id>user-defined-protoc</id>
+      <properties>
+        <spark.protoc.executable.path>${env.SPARK_PROTOC_EXEC_PATH}</spark.protoc.executable.path>
+      </properties>
+      <build>
+        <plugins>
+          <plugin>
+            <groupId>org.xolstice.maven.plugins</groupId>
+            <artifactId>protobuf-maven-plugin</artifactId>
+            <version>0.6.1</version>
+            <configuration>
+              <protocExecutable>${spark.protoc.executable.path}</protocExecutable>
+              <protoTestSourceRoot>src/test/protobuf</protoTestSourceRoot>
+            </configuration>
+            <executions>
+              <execution>
+                <goals>
+                  <goal>test-compile</goal>
+                </goals>
+              </execution>
+            </executions>
+          </plugin>
+        </plugins>
+      </build>
+    </profile>
+  </profiles>
 </project>
diff --git a/connector/connect/server/src/test/protobuf/test.proto b/connector/connect/server/src/test/protobuf/test.proto
new file mode 100644
index 0000000000000..844f89ba81f47
--- /dev/null
+++ b/connector/connect/server/src/test/protobuf/test.proto
@@ -0,0 +1,27 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+syntax = "proto3";
+package org.apache.spark.sql.protobuf.protos;
+
+option java_multiple_files = true;
+option java_outer_classname = "TestProto";
+
+message TestProtoObj {
+  int64 v1 = 1;
+  int32 v2 = 2;
+}
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 563d53577548e..51bcbb0910936 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -17,7 +17,7 @@
 
 import java.io._
 import java.nio.charset.StandardCharsets.UTF_8
-import java.nio.file.Files
+import java.nio.file.{Files, StandardOpenOption}
 import java.util.Locale
 
 import scala.io.Source
@@ -763,7 +763,13 @@ object SparkConnectCommon {
 object SparkConnect {
   import BuildCommons.protoVersion
 
+  val rewriteJavaFile = TaskKey[Unit]("rewriteJavaFile",
+    "Rewrite the generated Java PB files.")
+  val genPBAndRewriteJavaFile = TaskKey[Unit]("genPBAndRewriteJavaFile",
+    "Generate Java PB files and overwrite their contents.")
+
   lazy val settings = Seq(
+    PB.protocVersion := BuildCommons.protoVersion,
     // For some reason the resolution from the imported Maven build does not work for some
     // of these dependendencies that we need to shade later on.
     libraryDependencies ++= {
@@ -794,6 +800,42 @@ object SparkConnect {
       )
     },
 
+    // SPARK-43646: The following 3 statements are used to make the connect module use the
+    // Spark-proto assembly jar when compiling and testing using SBT, which can be keep same
+    // behavior of Maven testing.
+    (Test / unmanagedJars) += (LocalProject("protobuf") / assembly).value,
+    (Test / fullClasspath) :=
+      (Test / fullClasspath).value.filterNot { f => f.toString.contains("spark-protobuf") },
+    (Test / fullClasspath) += (LocalProject("protobuf") / assembly).value,
+
+    (Test / PB.protoSources) += (Test / sourceDirectory).value / "resources" / "protobuf",
+
+    (Test / PB.targets) := Seq(
+      PB.gens.java -> target.value / "generated-test-sources",
+    ),
+
+    // SPARK-43646: Create a custom task to replace all `com.google.protobuf.` with
+    // `org.sparkproject.spark_protobuf.protobuf.` in the generated Java PB files.
+    // This is to generate Java files that can be used to test spark-protobuf functions
+    // in `ProtoToParsedPlanTestSuite`.
+    rewriteJavaFile := {
+      val protobufDir = target.value / "generated-test-sources"/"org"/"apache"/"spark"/"sql"/"protobuf"/"protos"
+      protobufDir.listFiles().foreach { f =>
+        if (f.getName.endsWith(".java")) {
+          val contents = Files.readAllLines(f.toPath, UTF_8)
+          val replaced = contents.asScala.map { line =>
+            line.replaceAll("com.google.protobuf.", "org.sparkproject.spark_protobuf.protobuf.")
+          }
+          Files.write(f.toPath, replaced.asJava, StandardOpenOption.TRUNCATE_EXISTING, StandardOpenOption.WRITE)
+        }
+      }
+    },
+    // SPARK-43646: `genPBAndRewriteJavaFile` is used to specify the execution order of `PB.generate`
+    // and `rewriteJavaFile`, and makes `Test / compile` dependent on `genPBAndRewriteJavaFile`
+    // being executed first.
+    genPBAndRewriteJavaFile := Def.sequential(Test / PB.generate, rewriteJavaFile).value,
+    (Test / compile) := (Test / compile).dependsOn(genPBAndRewriteJavaFile).value,
+
     (assembly / test) := { },
 
     (assembly / logLevel) := Level.Info,
@@ -839,7 +881,16 @@ object SparkConnect {
       case m if m.toLowerCase(Locale.ROOT).endsWith(".proto") => MergeStrategy.discard
       case _ => MergeStrategy.first
     }
-  )
+  ) ++ {
+    val sparkProtocExecPath = sys.props.get("spark.protoc.executable.path")
+    if (sparkProtocExecPath.isDefined) {
+      Seq(
+        PB.protocExecutable := file(sparkProtocExecPath.get)
+      )
+    } else {
+      Seq.empty
+    }
+  }
 }
 
 object SparkConnectClient {

From bbe12e148eb1f289cfb1f4412525f4c4381c10a9 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <yuanjian.li@databricks.com>
Date: Mon, 28 Aug 2023 22:43:50 -0700
Subject: [PATCH 332/986] Revert "[SPARK-44742][PYTHON][DOCS] Add Spark version
 drop down to the PySpark doc site"

This reverts commit 319dff11c373cc872aab4e7d55745561ee5d7b0e.
---
 python/docs/source/_static/css/pyspark.css    | 13 ----
 python/docs/source/_static/versions.json      | 22 ------
 .../source/_templates/version-switcher.html   | 77 -------------------
 python/docs/source/conf.py                    |  9 +--
 4 files changed, 1 insertion(+), 120 deletions(-)
 delete mode 100644 python/docs/source/_static/versions.json
 delete mode 100644 python/docs/source/_templates/version-switcher.html

diff --git a/python/docs/source/_static/css/pyspark.css b/python/docs/source/_static/css/pyspark.css
index ccfe60f2bca64..89b7c65f27a51 100644
--- a/python/docs/source/_static/css/pyspark.css
+++ b/python/docs/source/_static/css/pyspark.css
@@ -95,16 +95,3 @@ u.bd-sidebar .nav>li>ul>.active:hover>a,.bd-sidebar .nav>li>ul>.active>a {
 .spec_table tr, td, th {
     border-top: none!important;
 }
-
-/* Styling to the version dropdown */
-#version-button {
-  padding-left: 0.2rem;
-  padding-right: 3.2rem;
-}
-
-#version_switcher {
-  height: auto;
-  max-height: 300px;
-  width: 165px;
-  overflow-y: auto;
-}
diff --git a/python/docs/source/_static/versions.json b/python/docs/source/_static/versions.json
deleted file mode 100644
index 3d0bd14818064..0000000000000
--- a/python/docs/source/_static/versions.json
+++ /dev/null
@@ -1,22 +0,0 @@
-[
-    {
-        "name": "3.4.1",
-        "version": "3.4.1"
-    },
-    {
-        "name": "3.4.0",
-        "version": "3.4.0"
-    },
-    {
-        "name": "3.3.2",
-        "version": "3.3.2"
-    },
-    {
-        "name": "3.3.1",
-        "version": "3.3.1"
-    },
-    {
-        "name": "3.3.0",
-        "version": "3.3.0"
-    }
-]
diff --git a/python/docs/source/_templates/version-switcher.html b/python/docs/source/_templates/version-switcher.html
deleted file mode 100644
index 16c443229f4be..0000000000000
--- a/python/docs/source/_templates/version-switcher.html
+++ /dev/null
@@ -1,77 +0,0 @@
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements.  See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License.  You may obtain a copy of the License at
-
-http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-<div id="version-button" class="dropdown">
-    <button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
-        {{ release }}
-        <span class="caret"></span>
-    </button>
-    <div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
-    <!-- dropdown will be populated by javascript on page load -->
-    </div>
-</div>
-
-<script type="text/javascript">
-// Function to construct the target URL from the JSON components
-function buildURL(entry) {
-    var template = "{{ switcher_template_url }}";  // supplied by jinja
-    template = template.replace("{version}", entry.version);
-    return template;
-}
-
-// Function to check if corresponding page path exists in other version of docs
-// and, if so, go there instead of the homepage of the other docs version
-function checkPageExistsAndRedirect(event) {
-    const currentFilePath = "{{ pagename }}.html",
-          otherDocsHomepage = event.target.getAttribute("href");
-    let tryUrl = `${otherDocsHomepage}${currentFilePath}`;
-    $.ajax({
-        type: 'HEAD',
-        url: tryUrl,
-        // if the page exists, go there
-        success: function() {
-            location.href = tryUrl;
-        }
-    }).fail(function() {
-        location.href = otherDocsHomepage;
-    });
-    return false;
-}
-
-// Function to populate the version switcher
-(function () {
-    // get JSON config
-    $.getJSON("{{ switcher_json_url }}", function(data, textStatus, jqXHR) {
-        // create the nodes first (before AJAX calls) to ensure the order is
-        // correct (for now, links will go to doc version homepage)
-        $.each(data, function(index, entry) {
-            // if no custom name specified (e.g., "latest"), use version string
-            if (!("name" in entry)) {
-                entry.name = entry.version;
-            }
-            // construct the appropriate URL, and add it to the dropdown
-            entry.url = buildURL(entry);
-            const node = document.createElement("a");
-            node.setAttribute("class", "list-group-item list-group-item-action py-1");
-            node.setAttribute("href", `${entry.url}`);
-            node.textContent = `${entry.name}`;
-            node.onclick = checkPageExistsAndRedirect;
-            $("#version_switcher").append(node);
-        });
-    });
-})();
-</script>
diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 0f57cb37ceeb1..38c331048e7b6 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -177,17 +177,10 @@
 # a list of builtin themes.
 html_theme = 'pydata_sphinx_theme'
 
-html_context = {
-    "switcher_json_url": "_static/versions.json",
-    "switcher_template_url": "https://spark.apache.org/docs/{version}/api/python/index.html",
-}
-
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
 # documentation.
-html_theme_options = {
-    "navbar_end": ["version-switcher"]
-}
+#html_theme_options = {}
 
 # Add any paths that contain custom themes here, relative to this directory.
 #html_theme_path = []

From 9f137aa4dc43398aafa0c3e035ed3174182d7d6c Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Tue, 29 Aug 2023 05:57:06 +0000
Subject: [PATCH 333/986] Preparing Spark release v3.5.0-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..1c093a4a98046 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.0
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 45b68dd81cb9a..a0aca22eab91d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 67227ef38eb8f..8c9d11f64eec8 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 40de7414051bd..c78c5445e5073 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 3e8b83a34287f..b360656b1b2d8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..c40f9905245cb 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.0
+SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..f67475ac11bc0 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 154ca4005f6c5..39b39f2bb1a5d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e5b1d1d67b3b4..a834cfb4c65b6 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..7222d49ecb020 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From cecd79ab57e323a55e99be89f372a61ac50bfe82 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Tue, 29 Aug 2023 05:57:11 +0000
Subject: [PATCH 334/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a0aca22eab91d..45b68dd81cb9a 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 8c9d11f64eec8..67227ef38eb8f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index c78c5445e5073..40de7414051bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index b360656b1b2d8..3e8b83a34287f 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index c40f9905245cb..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index f67475ac11bc0..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 39b39f2bb1a5d..154ca4005f6c5 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index a834cfb4c65b6..e5b1d1d67b3b4 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7222d49ecb020..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 40e65d334822ca88492ecbc4197386322be08fa3 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 29 Aug 2023 22:45:00 +0900
Subject: [PATCH 335/986] [SPARK-44981][PYTHON][CONNECT][FOLLOW-UP] Explicitly
 pass runtime configurations only

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/42694 that only allows to pass runtime configurations.

### Why are the changes needed?

Excluding static SQL configurations cannot exclude core configurations. For example, if you pass `spark.jars` with `local-cluster` mode, it shows unneccesary warnings as below:

```bash
 ./bin/pyspark --remote "local-cluster[1,2,1024]"
```

it shows warnings as below:

```
23/08/29 16:58:08 ERROR ErrorUtils: Spark Connect RPC error during: config. UserId: hyukjin.kwon. SessionId: 5c331d52-bf65-4f1c-9416-899e00d4a7d9.
org.apache.spark.sql.AnalysisException: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars".
See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'.
	at org.apache.spark.sql.errors.QueryCompilationErrors$.cannotModifyValueOfSparkConfigError(QueryCompilationErrors.scala:3233)
	at org.apache.spark.sql.RuntimeConfig.requireNonStaticConf(RuntimeConfig.scala:166)
	at org.apache.spark.sql.RuntimeConfig.set(RuntimeConfig.scala:42)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1(SparkConnectConfigHandler.scala:67)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1$adapted(SparkConnectConfigHandler.scala:65)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleSet(SparkConnectConfigHandler.scala:65)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:40)
	at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:120)
	at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:751)
	at org.sparkproject.connect.grpc.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:346)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:860)
	at org.sparkproject.connect.grpc.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
	at org.sparkproject.connect.grpc.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/session.py:186: UserWarning: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars".
See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'.
  warnings.warn(str(e))
23/08/29 16:58:08 ERROR ErrorUtils: Spark Connect RPC error during: config. UserId: hyukjin.kwon. SessionId: 5c331d52-bf65-4f1c-9416-899e00d4a7d9.
org.apache.spark.sql.AnalysisException: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars".
See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'.
	at org.apache.spark.sql.errors.QueryCompilationErrors$.cannotModifyValueOfSparkConfigError(QueryCompilationErrors.scala:3233)
	at org.apache.spark.sql.RuntimeConfig.requireNonStaticConf(RuntimeConfig.scala:166)
	at org.apache.spark.sql.RuntimeConfig.set(RuntimeConfig.scala:42)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1(SparkConnectConfigHandler.scala:67)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1$adapted(SparkConnectConfigHandler.scala:65)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleSet(SparkConnectConfigHandler.scala:65)
	at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:40)
	at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:120)
	at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:751)
	at org.sparkproject.connect.grpc.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:346)
	at org.sparkproject.connect.grpc.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:860)
	at org.sparkproject.connect.grpc.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
	at org.sparkproject.connect.grpc.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
```

### Does this PR introduce _any_ user-facing change?

No, the original change has not been released out yet.

### How was this patch tested?

Manually tested as described above.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42718 from HyukjinKwon/SPARK-44981-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 281f174304a5b1d9a146502dfdfd000d15924327)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/session.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 628eae2051122..1307c8bdd84e1 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -884,12 +884,13 @@ def create_conf(**kwargs: Any) -> SparkConf:
                     SparkContext.getOrCreate(create_conf(loadDefaults=True, _jvm=SparkContext._jvm))
                 )
 
-                # Lastly remove all static configurations that are not allowed to set in the regular
-                # Spark Connect session.
-                jvm = SparkContext._jvm
-                utl = jvm.org.apache.spark.sql.api.python.PythonSQLUtils  # type: ignore[union-attr]
-                for conf_set in utl.listStaticSQLConfigs():
-                    opts.pop(conf_set._1(), None)
+                # Lastly only keep runtime configurations because other configurations are
+                # disallowed to set in the regular Spark Connect session.
+                utl = SparkContext._jvm.PythonSQLUtils  # type: ignore[union-attr]
+                runtime_conf_keys = [c._1() for c in utl.listRuntimeSQLConfigs()]
+                new_opts = {k: opts[k] for k in opts if k in runtime_conf_keys}
+                opts.clear()
+                opts.update(new_opts)
 
             finally:
                 if origin_remote is not None:

From 24bd29cc56a7e12a45d713b5ca0bf2205b80a8f6 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Tue, 29 Aug 2023 23:04:44 +0300
Subject: [PATCH 336/986] [SPARK-43438][SQL] Error on missing input columns in
 `INSERT`

### What changes were proposed in this pull request?
In the PR, I propose to raise an error when an user uses V1 `INSERT` without a list of columns, and the number of inserting columns doesn't match to the number of actual table columns.

At the moment Spark inserts data successfully in such case after the PR https://github.com/apache/spark/pull/41262 which changed the behaviour of Spark 3.4.x.

### Why are the changes needed?
1. To conform the SQL standard which requires the number of columns must be the same:
![Screenshot 2023-08-07 at 11 01 27 AM](https://github.com/apache/spark/assets/1580697/c55badec-5716-490f-a83a-0bb6b22c84c7)

Apparently, the insertion below must not succeed:
```sql
spark-sql (default)> CREATE TABLE tabtest(c1 INT, c2 INT);
spark-sql (default)> INSERT INTO tabtest SELECT 1;
```

2. To have the same behaviour as **Spark 3.4**:
```sql
spark-sql (default)> INSERT INTO tabtest SELECT 1;
`spark_catalog`.`default`.`tabtest` requires that the data to be inserted have the same number of columns as the target table: target table has 2 column(s) but the inserted data has 1 column(s), including 0 partition column(s) having constant value(s).
```

### Does this PR introduce _any_ user-facing change?
Yes.

After the changes:
```sql
spark-sql (default)> INSERT INTO tabtest SELECT 1;
[INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS] Cannot write to `spark_catalog`.`default`.`tabtest`, the reason is not enough data columns:
Table columns: `c1`, `c2`.
Data columns: `1`.
```

### How was this patch tested?
By running the modified tests:
```
$ build/sbt "test:testOnly *InsertSuite"
$ build/sbt "test:testOnly *ResolveDefaultColumnsSuite"
$ build/sbt -Phive "test:testOnly *HiveQuerySuite"
```

Closes #42393 from MaxGekk/fix-num-cols-insert.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit a7eef2116919bd0c1a1b52adaf49de903e8c9c46)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../analysis/TableOutputResolver.scala        | 15 +----
 .../sql/execution/datasources/rules.scala     |  6 +-
 .../sql/ResolveDefaultColumnsSuite.scala      | 59 +++++++++++++++----
 .../spark/sql/sources/InsertSuite.scala       | 18 +++---
 .../apache/spark/sql/hive/InsertSuite.scala   |  2 +-
 .../sql/hive/execution/HiveQuerySuite.scala   |  6 +-
 6 files changed, 69 insertions(+), 37 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
index 894cd0b39911f..6671836b3514d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
@@ -65,22 +65,11 @@ object TableOutputResolver {
         errors += _,
         fillDefaultValue = supportColDefaultValue)
     } else {
-      // If the target table needs more columns than the input query, fill them with
-      // the columns' default values, if the `supportColDefaultValue` parameter is true.
-      val fillDefaultValue = supportColDefaultValue && actualExpectedCols.size > query.output.size
-      val queryOutputCols = if (fillDefaultValue) {
-        query.output ++ actualExpectedCols.drop(query.output.size).flatMap { expectedCol =>
-          getDefaultValueExprOrNullLit(expectedCol, conf.useNullsForMissingDefaultColumnValues)
-        }
-      } else {
-        query.output
-      }
-      if (actualExpectedCols.size > queryOutputCols.size) {
+      if (actualExpectedCols.size > query.output.size) {
         throw QueryCompilationErrors.cannotWriteNotEnoughColumnsToTableError(
           tableName, actualExpectedCols.map(_.name), query)
       }
-
-      resolveColumnsByPosition(tableName, queryOutputCols, actualExpectedCols, conf, errors += _)
+      resolveColumnsByPosition(tableName, query.output, actualExpectedCols, conf, errors += _)
     }
 
     if (errors.nonEmpty) {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
index 4cbd54e6d209c..f9b3f73ff0220 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala
@@ -404,7 +404,11 @@ object PreprocessTableInsertion extends ResolveInsertionBase {
     }
     val newQuery = try {
       TableOutputResolver.resolveOutputColumns(
-        tblName, expectedColumns, query, byName = hasColumnList || insert.byName, conf,
+        tblName,
+        expectedColumns,
+        query,
+        byName = hasColumnList || insert.byName,
+        conf,
         supportColDefaultValue = true)
     } catch {
       case e: AnalysisException if staticPartCols.nonEmpty &&
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
index b2cc4e3b746aa..29b2796d25aa4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
@@ -35,9 +35,15 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
 
       // INSERT without user-defined columns
       sql("truncate table t")
-      sql("insert into t values (timestamp'2020-12-31')")
-      checkAnswer(spark.table("t"),
-        sql("select timestamp'2020-12-31', null").collect().head)
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("insert into t values (timestamp'2020-12-31')")
+        },
+        errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
+        parameters = Map(
+          "tableName" -> "`spark_catalog`.`default`.`t`",
+          "tableColumns" -> "`c1`, `c2`",
+          "dataColumns" -> "`col1`"))
     }
   }
 
@@ -57,9 +63,15 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
 
       // INSERT without user-defined columns
       sql("truncate table t")
-      sql("insert into t values (timestamp'2020-12-31')")
-      checkAnswer(spark.table("t"),
-        sql("select timestamp'2020-12-31', timestamp'2020-01-01'").collect().head)
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("insert into t values (timestamp'2020-12-31')")
+        },
+        errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
+        parameters = Map(
+          "tableName" -> "`spark_catalog`.`default`.`t`",
+          "tableColumns" -> "`c1`, `c2`",
+          "dataColumns" -> "`col1`"))
     }
   }
 
@@ -67,8 +79,15 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
     sql("create table t(c1 int, c2 int, c3 int, c4 int) using parquet partitioned by (c3, c4)")
 
     // INSERT without static partitions
-    sql("insert into t values (1, 2, 3)")
-    checkAnswer(spark.table("t"), Row(1, 2, 3, null))
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql("insert into t values (1, 2, 3)")
+      },
+      errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
+      parameters = Map(
+        "tableName" -> "`spark_catalog`.`default`.`t`",
+        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+        "dataColumns" -> "`col1`, `col2`, `col3`"))
 
     // INSERT without static partitions but with column list
     sql("truncate table t")
@@ -77,8 +96,16 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
 
     // INSERT with static partitions
     sql("truncate table t")
-    sql("insert into t partition(c3=3, c4=4) values (1)")
-    checkAnswer(spark.table("t"), Row(1, null, 3, 4))
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql("insert into t partition(c3=3, c4=4) values (1)")
+      },
+      errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
+      parameters = Map(
+        "tableName" -> "`spark_catalog`.`default`.`t`",
+        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+        "dataColumns" -> "`col1`",
+        "staticPartCols" -> "`c3`, `c4`"))
 
     // INSERT with static partitions and with column list
     sql("truncate table t")
@@ -87,8 +114,16 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
 
     // INSERT with partial static partitions
     sql("truncate table t")
-    sql("insert into t partition(c3=3, c4) values (1, 2)")
-    checkAnswer(spark.table("t"), Row(1, 2, 3, null))
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql("insert into t partition(c3=3, c4) values (1, 2)")
+      },
+      errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
+      parameters = Map(
+        "tableName" -> "`spark_catalog`.`default`.`t`",
+        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+        "dataColumns" -> "`col1`, `col2`",
+        "staticPartCols" -> "`c3`"))
 
     // INSERT with partial static partitions and with column list is not allowed
     intercept[AnalysisException](sql("insert into t partition(c3=3, c4) (c1) values (1, 4)"))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
index c6bfd8c14ddf7..7b1a5a3203764 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
@@ -962,11 +962,15 @@ class InsertSuite extends DataSourceTest with SharedSparkSession {
       (1 to 10).map(i => Row(i, null))
     )
 
-    sql("INSERT OVERWRITE TABLE jsonTable SELECT a FROM jt")
-    checkAnswer(
-      sql("SELECT a, b FROM jsonTable"),
-      (1 to 10).map(i => Row(i, null))
-    )
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql("INSERT OVERWRITE TABLE jsonTable SELECT a FROM jt")
+      },
+      errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
+      parameters = Map(
+        "tableName" -> "`unknown`",
+        "tableColumns" -> "`a`, `b`",
+        "dataColumns" -> "`a`"))
 
     sql("INSERT OVERWRITE TABLE jsonTable(a) SELECT a FROM jt")
     checkAnswer(
@@ -1027,7 +1031,7 @@ class InsertSuite extends DataSourceTest with SharedSparkSession {
     }
     withTable("t") {
       sql("create table t(i int, s bigint default 42, x bigint) using parquet")
-      sql("insert into t values(1)")
+      sql("insert into t(i) values(1)")
       checkAnswer(spark.table("t"), Row(1, 42L, null))
     }
     // The table has a partitioning column and a default value is injected.
@@ -1495,7 +1499,7 @@ class InsertSuite extends DataSourceTest with SharedSparkSession {
       sql(createTableIntCol)
       sql("alter table t add column s bigint default 42")
       sql("alter table t add column x bigint")
-      sql("insert into t values(1)")
+      sql("insert into t(i) values(1)")
       checkAnswer(spark.table("t"), Row(1, 42, null))
     }
     // The table has a partitioning column and a default value is injected.
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
index 420b4fc83ec91..ea43f1d2c6729 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
@@ -391,7 +391,7 @@ class InsertSuite extends QueryTest with TestHiveSingleton with BeforeAndAfter
         sql(s"INSERT INTO TABLE $tableName PARTITION (c=11, b=10) SELECT 9, 12")
 
         // The data is missing a column. The default value for the missing column is null.
-        sql(s"INSERT INTO TABLE $tableName PARTITION (c=15, b=16) SELECT 13")
+        sql(s"INSERT INTO TABLE $tableName PARTITION (c=15, b=16) (a) SELECT 13")
 
         // c is defined twice. Analyzer will complain.
         intercept[ParseException] {
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
index 4eae3933bf511..82b88ec9f35d6 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
@@ -1258,11 +1258,11 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
           """INSERT INTO TABLE dp_test PARTITION(dp)
             |SELECT key, value, key % 5 FROM src""".stripMargin)
       },
-      errorClass = "_LEGACY_ERROR_TEMP_1169",
+      errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
       parameters = Map(
         "tableName" -> "`spark_catalog`.`default`.`dp_test`",
-        "normalizedPartSpec" -> "dp",
-        "partColNames" -> "dp,sp"))
+        "tableColumns" -> "`key`, `value`, `dp`, `sp`",
+        "dataColumns" -> "`key`, `value`, `(key % 5)`"))
 
     sql("SET hive.exec.dynamic.partition.mode=nonstrict")
 

From daf36e9c213a76fbbc8856c2b1e05be99c61e527 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 30 Aug 2023 08:40:48 -0700
Subject: [PATCH 337/986] [SPARK-45021][BUILD] Remove `antlr4-maven-plugin`
 configuration from `sql/catalyst/pom.xml`

### What changes were proposed in this pull request?
SPARK-44475(https://github.com/apache/spark/pull/41928) has already moved the `antlr4-maven-plugin` relevant configuration to `sql/api/pom.xml`, so the configuration in the `catalyst` module is unused now, so this pr remove it from `sql/catalyst/pom.xml`

### Why are the changes needed?
Clean up unused Maven `antlr4-maven-plugin` from catalyst module.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual verification

```
build/mvn clean install -DskipTests -pl sql/catalyst -am
```

Before

We can see

```
[INFO]
[INFO] --- antlr4-maven-plugin:4.9.3:antlr4 (default)  spark-catalyst_2.12 ---
[INFO] No ANTLR 4 grammars to compile in /Users/yangjie01/SourceCode/git/spark-mine-12/sql/catalyst/src/main/antlr4
[INFO]
```

After

no relevant messages.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42739 from LuciferYang/remove-antlr4-catalyst.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 5df4e16546095a8931e7e87998470603e01c6695)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 sql/catalyst/pom.xml | 16 ----------------
 1 file changed, 16 deletions(-)

diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e5b1d1d67b3b4..d7fc835fddbcb 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -150,22 +150,6 @@
           <argLine>-ea -Xmx4g -Xss4m -XX:ReservedCodeCacheSize=${CodeCacheSize} ${extraJavaTestArgs} -Dio.netty.tryReflectionSetAccessible=true</argLine>
         </configuration>
       </plugin>
-      <plugin>
-        <groupId>org.antlr</groupId>
-        <artifactId>antlr4-maven-plugin</artifactId>
-        <executions>
-          <execution>
-            <goals>
-              <goal>antlr4</goal>
-            </goals>
-          </execution>
-        </executions>
-        <configuration>
-          <visitor>true</visitor>
-          <sourceDirectory>../catalyst/src/main/antlr4</sourceDirectory>
-          <treatWarningsAsErrors>true</treatWarningsAsErrors>
-        </configuration>
-      </plugin>
       <plugin>
         <groupId>org.codehaus.mojo</groupId>
         <artifactId>build-helper-maven-plugin</artifactId>

From 627c1ce91fd356acbc03016f6df2bcb1d23c6af4 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Wed, 30 Aug 2023 10:55:01 -0700
Subject: [PATCH 338/986] [SPARK-44990][SQL] Reduce the frequency of get
 `spark.sql.legacy.nullValueWrittenAsQuotedEmptyStringCsv`

### What changes were proposed in this pull request?
This PR move get config `spark.sql.legacy.nullValueWrittenAsQuotedEmptyStringCsv` to lazy val of `UnivocityGenerator`. To reduce the frequency of get it. As report, it will affect performance.

### Why are the changes needed?
Reduce the frequency of get `spark.sql.legacy.nullValueWrittenAsQuotedEmptyStringCsv`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
exist test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42738 from Hisoka-X/SPARK-44990_csv_null_value_config.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit dac750b855c35a88420b6ba1b943bf0b6f0dded1)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/catalyst/csv/UnivocityGenerator.scala   | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityGenerator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityGenerator.scala
index d124a055f63a4..c8eded3ccd4d5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityGenerator.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityGenerator.scala
@@ -60,6 +60,8 @@ class UnivocityGenerator(
     options.locale,
     legacyFormat = FAST_DATE_FORMAT,
     isParsing = false)
+  private lazy val nullAsQuotedEmptyString =
+    SQLConf.get.getConf(SQLConf.LEGACY_NULL_VALUE_WRITTEN_AS_QUOTED_EMPTY_STRING_CSV)
 
   @scala.annotation.tailrec
   private def makeConverter(dataType: DataType): ValueConverter = dataType match {
@@ -96,8 +98,7 @@ class UnivocityGenerator(
     while (i < row.numFields) {
       if (!row.isNullAt(i)) {
         values(i) = valueConverters(i).apply(row, i)
-      } else if (
-        SQLConf.get.getConf(SQLConf.LEGACY_NULL_VALUE_WRITTEN_AS_QUOTED_EMPTY_STRING_CSV)) {
+      } else if (nullAsQuotedEmptyString) {
         values(i) = options.nullValue
       }
       i += 1

From 5d12625021ac78bc5a11c18fa8fa8de0fdb43ab4 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 30 Aug 2023 11:19:56 -0700
Subject: [PATCH 339/986] [SPARK-45016][PYTHON][CONNECT] Add missing
 `try_remote_functions` annotations

### What changes were proposed in this pull request?
Add missing `try_remote_functions` annotations

### Why are the changes needed?
to enable these functions in Connect

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
reused doctest

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42734 from zhengruifeng/add_missing_annotation.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit caceb888510a34b9684259914470448fab29493b)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/functions.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index aaf4823b3e1d6..4aafcf90d8f48 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -3415,6 +3415,7 @@ def pmod(dividend: Union["ColumnOrName", float], divisor: Union["ColumnOrName",
     return _invoke_binary_math_function("pmod", dividend, divisor)
 
 
+@try_remote_functions
 def width_bucket(
     v: "ColumnOrName",
     min: "ColumnOrName",
@@ -6939,6 +6940,7 @@ def to_timestamp(col: "ColumnOrName", format: Optional[str] = None) -> Column:
         return _invoke_function("to_timestamp", _to_java_column(col), format)
 
 
+@try_remote_functions
 def try_to_timestamp(col: "ColumnOrName", format: Optional["ColumnOrName"] = None) -> Column:
     """
     Parses the `col` with the `format` to a timestamp. The function always
@@ -10329,6 +10331,7 @@ def character_length(str: "ColumnOrName") -> Column:
     return _invoke_function_over_columns("character_length", str)
 
 
+@try_remote_functions
 def try_to_binary(col: "ColumnOrName", format: Optional["ColumnOrName"] = None) -> Column:
     """
     This is a special version of `to_binary` that performs the same operation, but returns a NULL
@@ -13637,6 +13640,7 @@ def map_zip_with(
     return _invoke_higher_order_function("MapZipWith", [col1, col2], [f])
 
 
+@try_remote_functions
 def str_to_map(
     text: "ColumnOrName",
     pairDelim: Optional["ColumnOrName"] = None,
@@ -14062,6 +14066,7 @@ def make_interval(
     )
 
 
+@try_remote_functions
 def make_timestamp(
     years: "ColumnOrName",
     months: "ColumnOrName",
@@ -14133,6 +14138,7 @@ def make_timestamp(
         )
 
 
+@try_remote_functions
 def make_timestamp_ltz(
     years: "ColumnOrName",
     months: "ColumnOrName",
@@ -14203,6 +14209,7 @@ def make_timestamp_ltz(
         )
 
 
+@try_remote_functions
 def make_timestamp_ntz(
     years: "ColumnOrName",
     months: "ColumnOrName",
@@ -14256,6 +14263,7 @@ def make_timestamp_ntz(
     )
 
 
+@try_remote_functions
 def make_ym_interval(
     years: Optional["ColumnOrName"] = None,
     months: Optional["ColumnOrName"] = None,

From 61679cb6b3e5e37b7bc1622215db19b90c7e6a9e Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Wed, 30 Aug 2023 11:25:58 -0700
Subject: [PATCH 340/986] [SPARK-44742][PYTHON][DOCS][FOLLOWUP] Upgrade
 `pydata_sphinx_theme` to 0.8.0 in `spark-rm` Dockerfile

### What changes were proposed in this pull request?
The pr is followup https://github.com/apache/spark/pull/42428.

### Why are the changes needed?
To fix issue:
When our `pydata_sphinx_theme` version is `0.4.1`, there may be issues with not recognizing some configuration items.
<img width="927" alt="image" src="https://github.com/apache/spark/assets/15246973/7ec54bb2-8c28-4863-8374-b3a5369873fc">

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manual testing.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42730 from panbingkun/SPARK-44742_FOLLOWUP.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 171251518b469824589c498c5f202cc55dacb128)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/create-release/spark-rm/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/create-release/spark-rm/Dockerfile b/dev/create-release/spark-rm/Dockerfile
index def8626d3be92..85155b67bd5a3 100644
--- a/dev/create-release/spark-rm/Dockerfile
+++ b/dev/create-release/spark-rm/Dockerfile
@@ -42,7 +42,7 @@ ARG APT_INSTALL="apt-get install --no-install-recommends -y"
 #   We should use the latest Sphinx version once this is fixed.
 # TODO(SPARK-35375): Jinja2 3.0.0+ causes error when building with Sphinx.
 #   See also https://issues.apache.org/jira/browse/SPARK-35375.
-ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.4.1 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 pandas==1.5.3 pyarrow==3.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
+ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.8.0 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 pandas==1.5.3 pyarrow==3.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
 ARG GEM_PKGS="bundler:2.3.8"
 
 # Install extra needed repos and refresh.

From 7be69bf7da036282c2c7c0b62c32e7666fa1b579 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Thu, 31 Aug 2023 09:28:24 +0900
Subject: [PATCH 341/986] [SPARK-44971][PYTHON] StreamingQueryProgress event
 fromJson bug fix

### What changes were proposed in this pull request?

The `fromJson` method for `StreamingQueryProgress` excepts the field `batchDuration` is in the dict.
That method is used internally for converting a json representation of `StreamingQueryProgress` into python object, commonly created in the Scala side `json` method of the same object.

But the `batchDuration` field is not there before https://github.com/apache/spark/pull/42077, which is only merged to 4.0. Therefore we add a catch there to prevent this method from failing.

### Why are the changes needed?

Necessary bug fix

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42686 from WweiL/SPARK-44971-fromJson-bugfix.

Lead-authored-by: Wei Liu <wei.liu@databricks.com>
Co-authored-by: Wei Liu <z920631580@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/streaming/listener.py      |  2 +-
 .../connect/streaming/test_parity_listener.py | 57 +++++++++++--------
 .../streaming/test_streaming_listener.py      |  2 +-
 3 files changed, 36 insertions(+), 25 deletions(-)

diff --git a/python/pyspark/sql/streaming/listener.py b/python/pyspark/sql/streaming/listener.py
index 225ad6d45afb1..16f40396490c7 100644
--- a/python/pyspark/sql/streaming/listener.py
+++ b/python/pyspark/sql/streaming/listener.py
@@ -477,7 +477,7 @@ def fromJson(cls, j: Dict[str, Any]) -> "StreamingQueryProgress":
             name=j["name"],
             timestamp=j["timestamp"],
             batchId=j["batchId"],
-            batchDuration=j["batchDuration"],
+            batchDuration=j.get("batchDuration", None),
             durationMs=dict(j["durationMs"]) if "durationMs" in j else {},
             eventTime=dict(j["eventTime"]) if "eventTime" in j else {},
             stateOperators=[StateOperatorProgress.fromJson(s) for s in j["stateOperators"]],
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 4bf58bf7807b3..5069a76cfdb73 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -18,39 +18,31 @@
 import unittest
 import time
 
+import pyspark.cloudpickle
 from pyspark.sql.tests.streaming.test_streaming_listener import StreamingListenerTestsMixin
-from pyspark.sql.streaming.listener import StreamingQueryListener, QueryStartedEvent
-from pyspark.sql.types import StructType, StructField, StringType
+from pyspark.sql.streaming.listener import StreamingQueryListener
+from pyspark.sql.functions import count, lit
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
-def get_start_event_schema():
-    return StructType(
-        [
-            StructField("id", StringType(), True),
-            StructField("runId", StringType(), True),
-            StructField("name", StringType(), True),
-            StructField("timestamp", StringType(), True),
-        ]
-    )
-
-
 class TestListener(StreamingQueryListener):
     def onQueryStarted(self, event):
-        df = self.spark.createDataFrame(
-            data=[(str(event.id), str(event.runId), event.name, event.timestamp)],
-            schema=get_start_event_schema(),
-        )
-        df.write.saveAsTable("listener_start_events")
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_start_events")
 
     def onQueryProgress(self, event):
-        pass
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_progress_events")
 
     def onQueryIdle(self, event):
         pass
 
     def onQueryTerminated(self, event):
-        pass
+        e = pyspark.cloudpickle.dumps(event)
+        df = self.spark.createDataFrame(data=[(e,)])
+        df.write.mode("append").saveAsTable("listener_terminated_events")
 
 
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
@@ -65,17 +57,36 @@ def test_listener_events(self):
             time.sleep(30)
 
             df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
-            q = df.writeStream.format("noop").queryName("test").start()
+            df_observe = df.observe("my_event", count(lit(1)).alias("rc"))
+            df_stateful = df_observe.groupBy().count()  # make query stateful
+            q = (
+                df_stateful.writeStream.format("noop")
+                .queryName("test")
+                .outputMode("complete")
+                .start()
+            )
 
             self.assertTrue(q.isActive)
             time.sleep(10)
+            self.assertTrue(q.lastProgress["batchId"] > 0)  # ensure at least one batch is ran
             q.stop()
+            self.assertFalse(q.isActive)
+
+            start_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_start_events").collect()[0][0]
+            )
+
+            progress_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_progress_events").collect()[0][0]
+            )
 
-            start_event = QueryStartedEvent.fromJson(
-                self.spark.read.table("listener_start_events").collect()[0].asDict()
+            terminated_event = pyspark.cloudpickle.loads(
+                self.spark.read.table("listener_terminated_events").collect()[0][0]
             )
 
             self.check_start_event(start_event)
+            self.check_progress_event(progress_event)
+            self.check_terminated_event(terminated_event)
 
         finally:
             self.spark.streams.removeListener(test_listener)
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_listener.py b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
index cbbdc2955e59f..87d0dae00d8bd 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_listener.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
@@ -88,7 +88,7 @@ def check_streaming_query_progress(self, progress):
         except Exception:
             self.fail("'%s' is not in ISO 8601 format.")
         self.assertTrue(isinstance(progress.batchId, int))
-        self.assertTrue(isinstance(progress.batchDuration, int))
+        self.assertTrue(progress.batchDuration is None or isinstance(progress.batchDuration, int))
         self.assertTrue(isinstance(progress.durationMs, dict))
         self.assertTrue(
             set(progress.durationMs.keys()).issubset(

From 86c1be503768dd1275f4d000fedd62ad6e9e30db Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 31 Aug 2023 15:21:19 +0900
Subject: [PATCH 342/986] [SPARK-45014][CONNECT] Clean up fileserver when
 cleaning up files, jars and archives in SparkContext

This PR proposes to clean up the files, jars and archives added via Spark Connect sessions.

In [SPARK-44348](https://issues.apache.org/jira/browse/SPARK-44348), we clean up Spark Context's added files but we don't clean up the ones in fileserver.

Yes, it will avoid slowly growing memory within the file server.

Manually tested. Also existing tests should not be broken.

No.

Closes #42731 from HyukjinKwon/SPARK-45014.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9a023c479c6a91a602f96ccabba398223c04b3d1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../artifact/SparkConnectArtifactManager.scala      | 10 ++++++----
 .../main/scala/org/apache/spark/rpc/RpcEnv.scala    | 13 +++++++++++++
 .../apache/spark/rpc/netty/NettyStreamManager.scala |  4 ++++
 3 files changed, 23 insertions(+), 4 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
index a2df11eeb5832..fee99532bd55f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/artifact/SparkConnectArtifactManager.scala
@@ -208,12 +208,14 @@ class SparkConnectArtifactManager(sessionHolder: SessionHolder) extends Logging
         s"sessionId: ${sessionHolder.sessionId}")
 
     // Clean up added files
-    sessionHolder.session.sparkContext.addedFiles.remove(state.uuid)
-    sessionHolder.session.sparkContext.addedArchives.remove(state.uuid)
-    sessionHolder.session.sparkContext.addedJars.remove(state.uuid)
+    val fileserver = SparkEnv.get.rpcEnv.fileServer
+    val sparkContext = sessionHolder.session.sparkContext
+    sparkContext.addedFiles.remove(state.uuid).foreach(_.keys.foreach(fileserver.removeFile))
+    sparkContext.addedArchives.remove(state.uuid).foreach(_.keys.foreach(fileserver.removeFile))
+    sparkContext.addedJars.remove(state.uuid).foreach(_.keys.foreach(fileserver.removeJar))
 
     // Clean up cached relations
-    val blockManager = sessionHolder.session.sparkContext.env.blockManager
+    val blockManager = sparkContext.env.blockManager
     blockManager.removeCache(sessionHolder.userId, sessionHolder.sessionId)
 
     // Clean up artifacts folder
diff --git a/core/src/main/scala/org/apache/spark/rpc/RpcEnv.scala b/core/src/main/scala/org/apache/spark/rpc/RpcEnv.scala
index 2fce2889c0977..2575cffdeb3b5 100644
--- a/core/src/main/scala/org/apache/spark/rpc/RpcEnv.scala
+++ b/core/src/main/scala/org/apache/spark/rpc/RpcEnv.scala
@@ -206,6 +206,19 @@ private[spark] trait RpcEnvFileServer {
     fixedBaseUri
   }
 
+  /**
+   * Removes a file from this RpcEnv.
+   *
+   * @param key Local file to remove.
+   */
+  def removeFile(key: String): Unit
+
+  /**
+   * Removes a jar to from this RpcEnv.
+   *
+   * @param key Local jar to remove.
+   */
+  def removeJar(key: String): Unit
 }
 
 private[spark] case class RpcEnvConfig(
diff --git a/core/src/main/scala/org/apache/spark/rpc/netty/NettyStreamManager.scala b/core/src/main/scala/org/apache/spark/rpc/netty/NettyStreamManager.scala
index 57243133aba92..9ac14f3483683 100644
--- a/core/src/main/scala/org/apache/spark/rpc/netty/NettyStreamManager.scala
+++ b/core/src/main/scala/org/apache/spark/rpc/netty/NettyStreamManager.scala
@@ -43,6 +43,10 @@ private[netty] class NettyStreamManager(rpcEnv: NettyRpcEnv)
   private val jars = new ConcurrentHashMap[String, File]()
   private val dirs = new ConcurrentHashMap[String, File]()
 
+  override def removeFile(key: String): Unit = files.remove(key)
+
+  override def removeJar(key: String): Unit = jars.remove(key)
+
   override def getChunk(streamId: Long, chunkIndex: Int): ManagedBuffer = {
     throw new UnsupportedOperationException()
   }

From bc215aba54b3f7b46d9ae9b121f2d0af6010a08f Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Thu, 31 Aug 2023 19:42:41 +0800
Subject: [PATCH 343/986] Revert "[SPARK-43646][CONNECT][TESTS] Make both SBT
 and Maven use `spark-proto` uber jar to test the `connect` module"

### What changes were proposed in this pull request?
This reverts commit df63adf734370f5c2d71a348f9d36658718b302c.

### Why are the changes needed?
As [reported](https://github.com/apache/spark/pull/42236#issuecomment-1700493815) by MaxGekk , the solution for https://github.com/apache/spark/pull/42236 is not perfect, and it breaks the usability of importing Spark as a Maven project into idea. On the other hand, if `mvn clean test` is executed, test failures will also occur like
```
[ERROR] [Error] /tmp/spark-3.5.0/connector/connect/server/target/generated-test-sources/protobuf/java/org/apache/spark/sql/protobuf/protos/TestProto.java:9:46:  error: package org.sparkproject.spark_protobuf.protobuf does not exist
```
Therefore, this pr will revert the change of SPARK-43646, and `from_protobuf messageClassName` and `from_protobuf messageClassName options` in `PlanGenerationTestSuite` will be ignored in a follow-up.

At present, it is difficult to make the maven testing of the `spark-protobuf` function in the `connect` module as good as possible.

### Does this PR introduce _any_ user-facing change?
NO

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42746 from LuciferYang/Revert-SPARK-43646.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 723a0aa30f9a901140d0f97d580d39db56b0729f)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/PlanGenerationTestSuite.scala   |   5 +-
 .../from_protobuf_messageClassName.explain    |   2 +-
 ..._protobuf_messageClassName_options.explain |   2 +-
 .../from_protobuf_messageClassName.json       |   2 +-
 .../from_protobuf_messageClassName.proto.bin  | Bin 131 -> 125 bytes
 ...rom_protobuf_messageClassName_options.json |   2 +-
 ...rotobuf_messageClassName_options.proto.bin | Bin 182 -> 174 bytes
 connector/connect/server/pom.xml              |  88 ------------------
 .../server/src/test/protobuf/test.proto       |  27 ------
 project/SparkBuild.scala                      |  55 +----------
 10 files changed, 8 insertions(+), 175 deletions(-)
 delete mode 100644 connector/connect/server/src/test/protobuf/test.proto

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
index 801c8cb0263e7..4916ff1f59743 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
@@ -3232,15 +3232,14 @@ class PlanGenerationTestSuite
     "connect/common/src/test/resources/protobuf-tests/common.desc"
 
   test("from_protobuf messageClassName") {
-    binary.select(
-      pbFn.from_protobuf(fn.col("bytes"), "org.apache.spark.sql.protobuf.protos.TestProtoObj"))
+    binary.select(pbFn.from_protobuf(fn.col("bytes"), classOf[StorageLevel].getName))
   }
 
   test("from_protobuf messageClassName options") {
     binary.select(
       pbFn.from_protobuf(
         fn.col("bytes"),
-        "org.apache.spark.sql.protobuf.protos.TestProtoObj",
+        classOf[StorageLevel].getName,
         Map("recursive.fields.max.depth" -> "2").asJava))
   }
 
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
index 6f48cb090cde5..e7a1867fe9072 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
@@ -1,2 +1,2 @@
-Project [from_protobuf(bytes#0, org.apache.spark.sql.protobuf.protos.TestProtoObj, None) AS from_protobuf(bytes)#0]
+Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None) AS from_protobuf(bytes)#0]
 +- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
index ba87e4774f1af..c02d829fcac1d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
@@ -1,2 +1,2 @@
-Project [from_protobuf(bytes#0, org.apache.spark.sql.protobuf.protos.TestProtoObj, None, (recursive.fields.max.depth,2)) AS from_protobuf(bytes)#0]
+Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None, (recursive.fields.max.depth,2)) AS from_protobuf(bytes)#0]
 +- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
index 6c5891e701654..dc23ac2a117b4 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
@@ -20,7 +20,7 @@
           }
         }, {
           "literal": {
-            "string": "org.apache.spark.sql.protobuf.protos.TestProtoObj"
+            "string": "org.apache.spark.connect.proto.StorageLevel"
           }
         }]
       }
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin
index 9d7aeaf308969f3069e0f06ffcb0bfb21f2be445..cc46234b7476cfc4d3623315a0016f4a8d2f1b16 100644
GIT binary patch
delta 92
zcmZo>tYzb35@3`npU9@^=PTvS#hX@?pBrCLlwXpcRGKElDa6jjnp9bmS}df`rJJRl
sUzDzwSdf^Uk*Zf*kXV$hmz<xMmzrFn2iBn%T#{dun4apBT9%pv0J8fXBme*a

delta 98
zcmb<zW@O`H5@3|7oyevc5-b(S#hX@?pBrCLlwXpcRGKElDa6jjnp9bmS}bJBWt?T0
pUzDzwSdf^Uk*Zf*kXV$hS6rB*2U87U6zheg7MBEoOz=<20swf5AIJaz

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
index 691e144eabd07..36f69646ef83d 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
@@ -20,7 +20,7 @@
           }
         }, {
           "literal": {
-            "string": "org.apache.spark.sql.protobuf.protos.TestProtoObj"
+            "string": "org.apache.spark.connect.proto.StorageLevel"
           }
         }, {
           "unresolvedFunction": {
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin
index 89000e473fac9acaba6b4d0d09937d83777b5113..72a1c6b8207e9bdb15ca23c59df0c962fc6a5eaf 100644
GIT binary patch
delta 96
zcmdnSxQ>yHi%Eb{YWYMqEx%f+YA)WiqWs+Wf};GA{G`$}Ax<H7F4m;VlGI`$eJ<TB
w?fjy2y~KjV<cw6k;)2AYY`x_Cyu8%p5<RdEz2K7kqQvx6pVYF{oQZ7)0Af`iVE_OC

delta 104
zcmZ3-xQ&sGi%Eb{YW+kut*{nGsYXUF-n63p-1vf`{F3~n(ljAXA$Bg-q{@=iVj)v5
v<1EAcqIA8)g2d#ERK4PY#G-7y;=&v~m}&^4ST7{CxFi5%f`3xh#5w~2Kj9(-

diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 3e8b83a34287f..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -248,13 +248,6 @@
     </dependency>
   </dependencies>
   <build>
-    <extensions>
-      <extension>
-        <groupId>kr.motd.maven</groupId>
-        <artifactId>os-maven-plugin</artifactId>
-        <version>1.6.2</version>
-      </extension>
-    </extensions>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
     <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
     <plugins>
@@ -410,87 +403,6 @@
           </transformers>
         </configuration>
       </plugin>
-      <!--
-        SPARK-43646: In order for `ProtoToParsedPlanTestSuite` to successfully test `from_protobuf_messageClassName`
-        and `from_protobuf_messageClassName_options`, `maven-antrun-plugin` is used to replace all
-        `com.google.protobuf.` with `org.sparkproject.spark_protobuf.protobuf.` in the Java files
-        generated by `protobuf-maven-plugin`.
-      -->
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-antrun-plugin</artifactId>
-        <executions>
-          <execution>
-            <phase>process-test-sources</phase>
-            <configuration>
-              <target>
-                <replace dir="${project.basedir}/target/generated-test-sources"
-                         includes="**/*.java"
-                         token="com.google.protobuf."
-                         value="org.sparkproject.spark_protobuf.protobuf."/>
-              </target>
-            </configuration>
-            <goals>
-              <goal>run</goal>
-            </goals>
-          </execution>
-        </executions>
-      </plugin>
     </plugins>
   </build>
-  <profiles>
-    <profile>
-      <id>default-protoc</id>
-      <activation>
-        <activeByDefault>true</activeByDefault>
-      </activation>
-      <build>
-        <plugins>
-          <!-- Add protobuf-maven-plugin and provide ScalaPB as a code generation plugin -->
-          <plugin>
-            <groupId>org.xolstice.maven.plugins</groupId>
-            <artifactId>protobuf-maven-plugin</artifactId>
-            <version>0.6.1</version>
-            <configuration>
-              <protocArtifact>com.google.protobuf:protoc:${protobuf.version}:exe:${os.detected.classifier}</protocArtifact>
-              <protoTestSourceRoot>src/test/protobuf</protoTestSourceRoot>
-            </configuration>
-            <executions>
-              <execution>
-                <goals>
-                  <goal>test-compile</goal>
-                </goals>
-              </execution>
-            </executions>
-          </plugin>
-        </plugins>
-      </build>
-    </profile>
-    <profile>
-      <id>user-defined-protoc</id>
-      <properties>
-        <spark.protoc.executable.path>${env.SPARK_PROTOC_EXEC_PATH}</spark.protoc.executable.path>
-      </properties>
-      <build>
-        <plugins>
-          <plugin>
-            <groupId>org.xolstice.maven.plugins</groupId>
-            <artifactId>protobuf-maven-plugin</artifactId>
-            <version>0.6.1</version>
-            <configuration>
-              <protocExecutable>${spark.protoc.executable.path}</protocExecutable>
-              <protoTestSourceRoot>src/test/protobuf</protoTestSourceRoot>
-            </configuration>
-            <executions>
-              <execution>
-                <goals>
-                  <goal>test-compile</goal>
-                </goals>
-              </execution>
-            </executions>
-          </plugin>
-        </plugins>
-      </build>
-    </profile>
-  </profiles>
 </project>
diff --git a/connector/connect/server/src/test/protobuf/test.proto b/connector/connect/server/src/test/protobuf/test.proto
deleted file mode 100644
index 844f89ba81f47..0000000000000
--- a/connector/connect/server/src/test/protobuf/test.proto
+++ /dev/null
@@ -1,27 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-syntax = "proto3";
-package org.apache.spark.sql.protobuf.protos;
-
-option java_multiple_files = true;
-option java_outer_classname = "TestProto";
-
-message TestProtoObj {
-  int64 v1 = 1;
-  int32 v2 = 2;
-}
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 51bcbb0910936..563d53577548e 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -17,7 +17,7 @@
 
 import java.io._
 import java.nio.charset.StandardCharsets.UTF_8
-import java.nio.file.{Files, StandardOpenOption}
+import java.nio.file.Files
 import java.util.Locale
 
 import scala.io.Source
@@ -763,13 +763,7 @@ object SparkConnectCommon {
 object SparkConnect {
   import BuildCommons.protoVersion
 
-  val rewriteJavaFile = TaskKey[Unit]("rewriteJavaFile",
-    "Rewrite the generated Java PB files.")
-  val genPBAndRewriteJavaFile = TaskKey[Unit]("genPBAndRewriteJavaFile",
-    "Generate Java PB files and overwrite their contents.")
-
   lazy val settings = Seq(
-    PB.protocVersion := BuildCommons.protoVersion,
     // For some reason the resolution from the imported Maven build does not work for some
     // of these dependendencies that we need to shade later on.
     libraryDependencies ++= {
@@ -800,42 +794,6 @@ object SparkConnect {
       )
     },
 
-    // SPARK-43646: The following 3 statements are used to make the connect module use the
-    // Spark-proto assembly jar when compiling and testing using SBT, which can be keep same
-    // behavior of Maven testing.
-    (Test / unmanagedJars) += (LocalProject("protobuf") / assembly).value,
-    (Test / fullClasspath) :=
-      (Test / fullClasspath).value.filterNot { f => f.toString.contains("spark-protobuf") },
-    (Test / fullClasspath) += (LocalProject("protobuf") / assembly).value,
-
-    (Test / PB.protoSources) += (Test / sourceDirectory).value / "resources" / "protobuf",
-
-    (Test / PB.targets) := Seq(
-      PB.gens.java -> target.value / "generated-test-sources",
-    ),
-
-    // SPARK-43646: Create a custom task to replace all `com.google.protobuf.` with
-    // `org.sparkproject.spark_protobuf.protobuf.` in the generated Java PB files.
-    // This is to generate Java files that can be used to test spark-protobuf functions
-    // in `ProtoToParsedPlanTestSuite`.
-    rewriteJavaFile := {
-      val protobufDir = target.value / "generated-test-sources"/"org"/"apache"/"spark"/"sql"/"protobuf"/"protos"
-      protobufDir.listFiles().foreach { f =>
-        if (f.getName.endsWith(".java")) {
-          val contents = Files.readAllLines(f.toPath, UTF_8)
-          val replaced = contents.asScala.map { line =>
-            line.replaceAll("com.google.protobuf.", "org.sparkproject.spark_protobuf.protobuf.")
-          }
-          Files.write(f.toPath, replaced.asJava, StandardOpenOption.TRUNCATE_EXISTING, StandardOpenOption.WRITE)
-        }
-      }
-    },
-    // SPARK-43646: `genPBAndRewriteJavaFile` is used to specify the execution order of `PB.generate`
-    // and `rewriteJavaFile`, and makes `Test / compile` dependent on `genPBAndRewriteJavaFile`
-    // being executed first.
-    genPBAndRewriteJavaFile := Def.sequential(Test / PB.generate, rewriteJavaFile).value,
-    (Test / compile) := (Test / compile).dependsOn(genPBAndRewriteJavaFile).value,
-
     (assembly / test) := { },
 
     (assembly / logLevel) := Level.Info,
@@ -881,16 +839,7 @@ object SparkConnect {
       case m if m.toLowerCase(Locale.ROOT).endsWith(".proto") => MergeStrategy.discard
       case _ => MergeStrategy.first
     }
-  ) ++ {
-    val sparkProtocExecPath = sys.props.get("spark.protoc.executable.path")
-    if (sparkProtocExecPath.isDefined) {
-      Seq(
-        PB.protocExecutable := file(sparkProtocExecPath.get)
-      )
-    } else {
-      Seq.empty
-    }
-  }
+  )
 }
 
 object SparkConnectClient {

From b2b948d6accf62603edd6f0da68c5857d2a75d28 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 1 Sep 2023 10:52:44 +0800
Subject: [PATCH 344/986] [SPARK-45029][CONNECT][TESTS] Ignore `from_protobuf
 messageClassName/from_protobuf messageClassName options` in
 `PlanGenerationTestSuite`

### What changes were proposed in this pull request?
This pr aims ignore `from_protobuf messageClassName` and `from_protobuf messageClassName options` in `PlanGenerationTestSuite` and remove the related golden files, after this change `from_protobuf_messageClassName` and `from_protobuf_messageClassName_options` in `ProtoToParsedPlanTestSuite` be ignored too.

### Why are the changes needed?
SPARK-43646 | (https://github.com/apache/spark/pull/42236) makes both Maven and SBT use the shaded `spark-protobuf` module when testing the connect module, this allows `mvn clean install` and `mvn package test` to successfully pass tests. But if `mvn clean test` is executed directly, an error `package org.sparkproject.spark_protobuf.protobuf does not exist` will occur. This is because `mvn clean test` directly uses the classes file of the `spark-protobuf` module for testing, without the 'package', hence it does not `shade` and `relocate` protobuf.

On the other hand, the change of SPARK-43646 breaks the usability of importing Spark as a Maven project into IDEA(https://github.com/apache/spark/pull/42236#issuecomment-1700493815).

So https://github.com/apache/spark/pull/42746 revert the change of [SPARK-43646](https://issues.apache.org/jira/browse/SPARK-43646).

It's difficult to find a perfect solution to solve this maven test issues now, as in certain scenarios tests would use the `shaded spark-protobuf jar`, like `mvn package test`, while in some other scenarios it will use the `unshaded classes directory`, such as `mvn clean test`. so this pr ignores the relevant tests first and leaves a TODO(SPARK-45030), to re-enable these tests when we find a better solution.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass Github Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42751 from LuciferYang/SPARK-45029.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 10f31904636da727e439d5f1792c3ab7e8e1d24b)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/PlanGenerationTestSuite.scala   |   8 +++-
 .../from_protobuf_messageClassName.explain    |   2 -
 ..._protobuf_messageClassName_options.explain |   2 -
 .../from_protobuf_messageClassName.json       |  29 ------------
 .../from_protobuf_messageClassName.proto.bin  | Bin 125 -> 0 bytes
 ...rom_protobuf_messageClassName_options.json |  42 ------------------
 ...rotobuf_messageClassName_options.proto.bin | Bin 174 -> 0 bytes
 7 files changed, 6 insertions(+), 77 deletions(-)
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
 delete mode 100644 connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
index 4916ff1f59743..97fa5d5fe53b4 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala
@@ -3231,11 +3231,15 @@ class PlanGenerationTestSuite
   private val testDescFilePath: String = s"${IntegrationTestUtils.sparkHome}/connector/" +
     "connect/common/src/test/resources/protobuf-tests/common.desc"
 
-  test("from_protobuf messageClassName") {
+  // TODO(SPARK-45030): Re-enable this test when all Maven test scenarios succeed and there
+  //  are no other negative impacts. For the problem description, please refer to SPARK-45029
+  ignore("from_protobuf messageClassName") {
     binary.select(pbFn.from_protobuf(fn.col("bytes"), classOf[StorageLevel].getName))
   }
 
-  test("from_protobuf messageClassName options") {
+  // TODO(SPARK-45030): Re-enable this test when all Maven test scenarios succeed and there
+  //  are no other negative impacts. For the problem description, please refer to SPARK-45029
+  ignore("from_protobuf messageClassName options") {
     binary.select(
       pbFn.from_protobuf(
         fn.col("bytes"),
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
deleted file mode 100644
index e7a1867fe9072..0000000000000
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName.explain
+++ /dev/null
@@ -1,2 +0,0 @@
-Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None) AS from_protobuf(bytes)#0]
-+- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
deleted file mode 100644
index c02d829fcac1d..0000000000000
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/from_protobuf_messageClassName_options.explain
+++ /dev/null
@@ -1,2 +0,0 @@
-Project [from_protobuf(bytes#0, org.apache.spark.connect.proto.StorageLevel, None, (recursive.fields.max.depth,2)) AS from_protobuf(bytes)#0]
-+- LocalRelation <empty>, [id#0L, bytes#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
deleted file mode 100644
index dc23ac2a117b4..0000000000000
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.json
+++ /dev/null
@@ -1,29 +0,0 @@
-{
-  "common": {
-    "planId": "1"
-  },
-  "project": {
-    "input": {
-      "common": {
-        "planId": "0"
-      },
-      "localRelation": {
-        "schema": "struct\u003cid:bigint,bytes:binary\u003e"
-      }
-    },
-    "expressions": [{
-      "unresolvedFunction": {
-        "functionName": "from_protobuf",
-        "arguments": [{
-          "unresolvedAttribute": {
-            "unparsedIdentifier": "bytes"
-          }
-        }, {
-          "literal": {
-            "string": "org.apache.spark.connect.proto.StorageLevel"
-          }
-        }]
-      }
-    }]
-  }
-}
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName.proto.bin
deleted file mode 100644
index cc46234b7476cfc4d3623315a0016f4a8d2f1b16..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 125
zcmd;L5@3`n=ThTh5@3i@5Rxk{DJo4avB^xaO3F;n%q!7Jsw_z@26FNeiz@A;e5Jg(
zc+-mVbK?t&@=NlQO4Ecmh1j`R!K#GxxpcF%^NZ5;5(^TOGg9@63lfX6^^)`R@=}va
U^uRjwf=lv?64O(CQp-|v0OO}8)Bpeg

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
deleted file mode 100644
index 36f69646ef83d..0000000000000
--- a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.json
+++ /dev/null
@@ -1,42 +0,0 @@
-{
-  "common": {
-    "planId": "1"
-  },
-  "project": {
-    "input": {
-      "common": {
-        "planId": "0"
-      },
-      "localRelation": {
-        "schema": "struct\u003cid:bigint,bytes:binary\u003e"
-      }
-    },
-    "expressions": [{
-      "unresolvedFunction": {
-        "functionName": "from_protobuf",
-        "arguments": [{
-          "unresolvedAttribute": {
-            "unparsedIdentifier": "bytes"
-          }
-        }, {
-          "literal": {
-            "string": "org.apache.spark.connect.proto.StorageLevel"
-          }
-        }, {
-          "unresolvedFunction": {
-            "functionName": "map",
-            "arguments": [{
-              "literal": {
-                "string": "recursive.fields.max.depth"
-              }
-            }, {
-              "literal": {
-                "string": "2"
-              }
-            }]
-          }
-        }]
-      }
-    }]
-  }
-}
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/from_protobuf_messageClassName_options.proto.bin
deleted file mode 100644
index 72a1c6b8207e9bdb15ca23c59df0c962fc6a5eaf..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 174
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zMzDf$GP*29>I3&W989s#O=Y@}<*z{gAD!aYQGVnb<|W(q>evRG_obMLDa3;kTi7&f
z%M~i8bWP};;u~t)b)*9h2cCmvRndtabQdTyn6%1?6c&wS(mi|gAS?~t3y-aOVnHs{
JB8Ev5?SAcDHU$6x


From b41fd4c454a20cd148267ae802978bf6b8ca33c8 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Fri, 1 Sep 2023 20:27:17 +0800
Subject: [PATCH 345/986] [SPARK-44577][SQL] Fix INSERT BY NAME returns
 nonsensical error message

### What changes were proposed in this pull request?
Fix INSERT BY NAME returns nonsensical error message on v1 datasource.
eg:
```scala
CREATE TABLE bug(c1 INT);

INSERT INTO bug BY NAME SELECT 1 AS c2;

==> Multi-part identifier cannot be empty.
```
After PR:
```scala
[INCOMPATIBLE_DATA_FOR_TABLE.CANNOT_FIND_DATA] Cannot write incompatible data for the table `spark_catalog`.`default`.`bug`: Cannot find data for the output column `c1`.
```

Also fixed the same issue when throwing other INCOMPATIBLE_DATA_FOR_TABLE type errors

### Why are the changes needed?
Fix the error msg nonsensical.

### Does this PR introduce _any_ user-facing change?
Yes, the error msg in v1 insert by name will be changed.

### How was this patch tested?
add new test.

Closes #42220 from Hisoka-X/SPARK-44577_insert_by_name_bug_fix.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 00f66994c802faf9ccc0d40ed4f6ff32992ba00f)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../main/resources/error/error-classes.json   |  5 +++
 ...incompatible-data-for-table-error-class.md |  4 +++
 .../analysis/ResolveInsertionBase.scala       |  4 +--
 .../analysis/TableOutputResolver.scala        | 36 +++++++++++++------
 .../sql/errors/QueryCompilationErrors.scala   | 19 +++++++---
 .../apache/spark/sql/SQLInsertTestSuite.scala |  5 +--
 6 files changed, 54 insertions(+), 19 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 5fdb2fbe77ecf..477fe9b3f614e 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -937,6 +937,11 @@
           "Cannot safely cast <colName> <srcType> to <targetType>."
         ]
       },
+      "EXTRA_COLUMNS" : {
+        "message" : [
+          "Cannot write extra columns <extraColumns>."
+        ]
+      },
       "EXTRA_STRUCT_FIELDS" : {
         "message" : [
           "Cannot write extra fields <extraFields> to the struct <colName>."
diff --git a/docs/sql-error-conditions-incompatible-data-for-table-error-class.md b/docs/sql-error-conditions-incompatible-data-for-table-error-class.md
index f70b69ba6c5bd..0dd28e9d55c50 100644
--- a/docs/sql-error-conditions-incompatible-data-for-table-error-class.md
+++ b/docs/sql-error-conditions-incompatible-data-for-table-error-class.md
@@ -37,6 +37,10 @@ Cannot find data for the output column `<colName>`.
 
 Cannot safely cast `<colName>` `<srcType>` to `<targetType>`.
 
+## EXTRA_COLUMNS
+
+Cannot write extra columns `<extraColumns>`.
+
 ## EXTRA_STRUCT_FIELDS
 
 Cannot write extra fields `<extraFields>` to the struct `<colName>`.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInsertionBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInsertionBase.scala
index 8b120095bc600..ad89005a093e9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInsertionBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInsertionBase.scala
@@ -36,10 +36,10 @@ abstract class ResolveInsertionBase extends Rule[LogicalPlan] {
     if (i.userSpecifiedCols.size != i.query.output.size) {
       if (i.userSpecifiedCols.size > i.query.output.size) {
         throw QueryCompilationErrors.cannotWriteNotEnoughColumnsToTableError(
-          tblName, i.userSpecifiedCols, i.query)
+          tblName, i.userSpecifiedCols, i.query.output)
       } else {
         throw QueryCompilationErrors.cannotWriteTooManyColumnsToTableError(
-          tblName, i.userSpecifiedCols, i.query)
+          tblName, i.userSpecifiedCols, i.query.output)
       }
     }
     val projectByName = i.userSpecifiedCols.zip(i.query.output)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
index 6671836b3514d..42abc0eafda7a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
@@ -49,7 +49,7 @@ object TableOutputResolver {
 
     if (actualExpectedCols.size < query.output.size) {
       throw QueryCompilationErrors.cannotWriteTooManyColumnsToTableError(
-        tableName, actualExpectedCols.map(_.name), query)
+        tableName, actualExpectedCols.map(_.name), query.output)
     }
 
     val errors = new mutable.ArrayBuffer[String]()
@@ -67,7 +67,7 @@ object TableOutputResolver {
     } else {
       if (actualExpectedCols.size > query.output.size) {
         throw QueryCompilationErrors.cannotWriteNotEnoughColumnsToTableError(
-          tableName, actualExpectedCols.map(_.name), query)
+          tableName, actualExpectedCols.map(_.name), query.output)
       }
       resolveColumnsByPosition(tableName, query.output, actualExpectedCols, conf, errors += _)
     }
@@ -229,9 +229,13 @@ object TableOutputResolver {
       if (matchedCols.size < inputCols.length) {
         val extraCols = inputCols.filterNot(col => matchedCols.contains(col.name))
           .map(col => s"${toSQLId(col.name)}").mkString(", ")
-        throw QueryCompilationErrors.incompatibleDataToTableExtraStructFieldsError(
-          tableName, colPath.quoted, extraCols
-        )
+        if (colPath.isEmpty) {
+          throw QueryCompilationErrors.incompatibleDataToTableExtraColumnsError(tableName,
+            extraCols)
+        } else {
+          throw QueryCompilationErrors.incompatibleDataToTableExtraStructFieldsError(
+            tableName, colPath.quoted, extraCols)
+        }
       } else {
         reordered
       }
@@ -252,16 +256,26 @@ object TableOutputResolver {
       val extraColsStr = inputCols.takeRight(inputCols.size - expectedCols.size)
         .map(col => toSQLId(col.name))
         .mkString(", ")
-      throw QueryCompilationErrors.incompatibleDataToTableExtraStructFieldsError(
-        tableName, colPath.quoted, extraColsStr
-      )
+      if (colPath.isEmpty) {
+        throw QueryCompilationErrors.cannotWriteTooManyColumnsToTableError(tableName,
+          expectedCols.map(_.name), inputCols.map(_.toAttribute))
+      } else {
+        throw QueryCompilationErrors.incompatibleDataToTableExtraStructFieldsError(
+          tableName, colPath.quoted, extraColsStr
+        )
+      }
     } else if (inputCols.size < expectedCols.size) {
       val missingColsStr = expectedCols.takeRight(expectedCols.size - inputCols.size)
         .map(col => toSQLId(col.name))
         .mkString(", ")
-      throw QueryCompilationErrors.incompatibleDataToTableStructMissingFieldsError(
-        tableName, colPath.quoted, missingColsStr
-      )
+      if (colPath.isEmpty) {
+        throw QueryCompilationErrors.cannotWriteNotEnoughColumnsToTableError(tableName,
+          expectedCols.map(_.name), inputCols.map(_.toAttribute))
+      } else {
+        throw QueryCompilationErrors.incompatibleDataToTableStructMissingFieldsError(
+          tableName, colPath.quoted, missingColsStr
+        )
+      }
     }
 
     inputCols.zip(expectedCols).flatMap { case (inputCol, expectedCol) =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 1383827a82b3d..14882a7006173 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -2106,25 +2106,25 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
   def cannotWriteTooManyColumnsToTableError(
       tableName: String,
       expected: Seq[String],
-      query: LogicalPlan): Throwable = {
+      queryOutput: Seq[Attribute]): Throwable = {
     new AnalysisException(
       errorClass = "INSERT_COLUMN_ARITY_MISMATCH.TOO_MANY_DATA_COLUMNS",
       messageParameters = Map(
         "tableName" -> toSQLId(tableName),
         "tableColumns" -> expected.map(c => toSQLId(c)).mkString(", "),
-        "dataColumns" -> query.output.map(c => toSQLId(c.name)).mkString(", ")))
+        "dataColumns" -> queryOutput.map(c => toSQLId(c.name)).mkString(", ")))
   }
 
   def cannotWriteNotEnoughColumnsToTableError(
       tableName: String,
       expected: Seq[String],
-      query: LogicalPlan): Throwable = {
+      queryOutput: Seq[Attribute]): Throwable = {
     new AnalysisException(
       errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
       messageParameters = Map(
         "tableName" -> toSQLId(tableName),
         "tableColumns" -> expected.map(c => toSQLId(c)).mkString(", "),
-        "dataColumns" -> query.output.map(c => toSQLId(c.name)).mkString(", ")))
+        "dataColumns" -> queryOutput.map(c => toSQLId(c.name)).mkString(", ")))
   }
 
   def incompatibleDataToTableCannotFindDataError(
@@ -2149,6 +2149,17 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
     )
   }
 
+  def incompatibleDataToTableExtraColumnsError(
+      tableName: String, extraColumns: String): Throwable = {
+    new AnalysisException(
+      errorClass = "INCOMPATIBLE_DATA_FOR_TABLE.EXTRA_COLUMNS",
+      messageParameters = Map(
+        "tableName" -> toSQLId(tableName),
+        "extraColumns" -> extraColumns
+      )
+    )
+  }
+
   def incompatibleDataToTableExtraStructFieldsError(
       tableName: String, colName: String, extraFields: String): Throwable = {
     new AnalysisException(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLInsertTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLInsertTestSuite.scala
index 0bbed51d0a908..34e4ded09b5fa 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLInsertTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLInsertTestSuite.scala
@@ -213,9 +213,10 @@ trait SQLInsertTestSuite extends QueryTest with SQLTestUtils {
         exception = intercept[AnalysisException] {
           processInsert("t1", df, overwrite = false, byName = true)
         },
-        v1ErrorClass = "_LEGACY_ERROR_TEMP_1186",
+        v1ErrorClass = "INCOMPATIBLE_DATA_FOR_TABLE.EXTRA_COLUMNS",
         v2ErrorClass = "INCOMPATIBLE_DATA_FOR_TABLE.CANNOT_FIND_DATA",
-        v1Parameters = Map.empty[String, String],
+        v1Parameters = Map("tableName" -> "`spark_catalog`.`default`.`t1`",
+          "extraColumns" -> "`x1`"),
         v2Parameters = Map("tableName" -> "`testcat`.`t1`", "colName" -> "`c1`")
       )
       val df2 = Seq((3, 2, 1, 0)).toDF(Seq("c3", "c2", "c1", "c0"): _*)

From 16c9f8642ac55d833fced0f7a7aba9b326f59243 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Fri, 1 Sep 2023 10:01:36 -0700
Subject: [PATCH 346/986] [SPARK-44750][PYTHON][CONNECT][TESTS][FOLLOW-UP]
 Avoid creating session twice in `SparkConnectSessionWithOptionsTest`

### What changes were proposed in this pull request?
Avoid creating session twice in `SparkConnectSessionWithOptionsTest`

### Why are the changes needed?
the session created in `ReusedConnectTestCase#setUpClass` is not used, so no need to inherit

### Does this PR introduce _any_ user-facing change?
no, test-only

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #42747 from zhengruifeng/minor_test_ut.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 8c27de68756d4b0e5940211340a0b323d808aead)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/tests/connect/test_connect_basic.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 54911c09b6fc0..2904eb42587e8 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -3347,7 +3347,7 @@ def test_can_create_multiple_sessions_to_different_remotes(self):
             self.assertIn("Create a new SparkSession is only supported with SparkConnect.", str(e))
 
 
-class SparkConnectSessionWithOptionsTest(ReusedConnectTestCase):
+class SparkConnectSessionWithOptionsTest(unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (
             PySparkSession.builder.config("string", "foo")

From 215f2d1c852bceb334c7825db5ef6441fe3c074c Mon Sep 17 00:00:00 2001
From: Chao Sun <sunchao@apple.com>
Date: Fri, 1 Sep 2023 20:22:34 -0700
Subject: [PATCH 347/986] [SPARK-45054][SQL] HiveExternalCatalog.listPartitions
 should restore partition statistics

### What changes were proposed in this pull request?

Call `restorePartitionMetadata` in `listPartitions` to restore Spark SQL statistics.

### Why are the changes needed?

Currently when `listPartitions` is called, it doesn't restore Spark SQL statistics stored in metastore, such as `spark.sql.statistics.totalSize`. This means callers who rely on stats from the method call may wrong results.

In particular, when `spark.sql.statistics.size.autoUpdate.enabled` is turned on, during insert overwrite Spark will first list partitions and get old statistics, and then compare them with new statistics and see which partitions need to be updated. This issue will sometimes cause it to update all partitions instead of only those partitions that have been touched.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added a new test.
### Was this patch authored or co-authored using generative AI tooling?

Closes #42777 from sunchao/list-partition-stat.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: Chao Sun <sunchao@apple.com>
---
 .../catalog/ExternalCatalogSuite.scala        | 25 +++++++++++++++++++
 .../spark/sql/hive/HiveExternalCatalog.scala  |  7 ++++--
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
index 32eb884942763..a8f73cebf31e4 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
@@ -475,6 +475,31 @@ abstract class ExternalCatalogSuite extends SparkFunSuite {
     assert(catalog.listPartitions("db2", "tbl2", Some(Map("a" -> "unknown"))).isEmpty)
   }
 
+  test("SPARK-45054: list partitions should restore stats") {
+    val catalog = newBasicCatalog()
+    val stats = Some(CatalogStatistics(sizeInBytes = 1))
+    val newPart = CatalogTablePartition(Map("a" -> "1", "b" -> "2"), storageFormat, stats = stats)
+    catalog.alterPartitions("db2", "tbl2", Seq(newPart))
+    val parts = catalog.listPartitions("db2", "tbl2", Some(Map("a" -> "1")))
+
+    assert(parts.length == 1)
+    val part = parts.head
+    assert(part.stats.exists(_.sizeInBytes == 1))
+  }
+
+  test("SPARK-45054: list partitions by filter should restore stats") {
+    val catalog = newBasicCatalog()
+    val stats = Some(CatalogStatistics(sizeInBytes = 1))
+    val newPart = CatalogTablePartition(Map("a" -> "1", "b" -> "2"), storageFormat, stats = stats)
+    catalog.alterPartitions("db2", "tbl2", Seq(newPart))
+    val tz = TimeZone.getDefault.getID
+    val parts = catalog.listPartitionsByFilter("db2", "tbl2", Seq($"a".int === 1), tz)
+
+    assert(parts.length == 1)
+    val part = parts.head
+    assert(part.stats.exists(_.sizeInBytes == 1))
+  }
+
   test("SPARK-21457: list partitions with special chars") {
     val catalog = newBasicCatalog()
     assert(catalog.listPartitions("db2", "tbl1").isEmpty)
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
index 67b780f13c431..e4325989b7066 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
@@ -1275,13 +1275,14 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat
       db: String,
       table: String,
       partialSpec: Option[TablePartitionSpec] = None): Seq[CatalogTablePartition] = withClient {
-    val partColNameMap = buildLowerCasePartColNameMap(getTable(db, table))
+    val catalogTable = getTable(db, table)
+    val partColNameMap = buildLowerCasePartColNameMap(catalogTable)
     val metaStoreSpec = partialSpec.map(toMetaStorePartitionSpec)
     val res = client.getPartitions(db, table, metaStoreSpec)
       .map { part => part.copy(spec = restorePartitionSpec(part.spec, partColNameMap))
     }
 
-    metaStoreSpec match {
+    val parts = metaStoreSpec match {
       // This might be a bug of Hive: When the partition value inside the partial partition spec
       // contains dot, and we ask Hive to list partitions w.r.t. the partial partition spec, Hive
       // treats dot as matching any single character and may return more partitions than we
@@ -1290,6 +1291,7 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat
         res.filter(p => isPartialPartitionSpec(spec, toMetaStorePartitionSpec(p.spec)))
       case _ => res
     }
+    parts.map(restorePartitionMetadata(_, catalogTable))
   }
 
   override def listPartitionsByFilter(
@@ -1303,6 +1305,7 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat
     val clientPrunedPartitions =
       client.getPartitionsByFilter(rawHiveTable, predicates).map { part =>
         part.copy(spec = restorePartitionSpec(part.spec, partColNameMap))
+        restorePartitionMetadata(part, catalogTable)
       }
     prunePartitionsByFilter(catalogTable, clientPrunedPartitions, predicates, defaultTimeZoneId)
   }

From fb5495f64ffdedf3006a6f1a66cda128e164ad32 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Mon, 4 Sep 2023 09:36:49 +0900
Subject: [PATCH 348/986] [SPARK-45061][SS][CONNECT] Clean up Running python
 StreamingQueryLIstener processes when session expires

### What changes were proposed in this pull request?

Clean up all running python StreamingQueryLIstener processes when session expires

### Why are the changes needed?

Improvement

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Test will be added in SPARK-44462. Currently there is no way to test this because the session will never expire. This is because the started python listener process (on the server) will establish a connection with the server process with the same session id and ping it all the time.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42687 from WweiL/SPARK-44433-followup-listener-cleanup.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 7a01ba65b7408bc3b907aa7b0b27279913caafe9)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/planner/SparkConnectPlanner.scala |  4 +++-
 .../sql/connect/service/SessionHolder.scala   | 21 ++++++++++++++-----
 2 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 46c465e4deb56..2abbacc5a9b7f 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -2902,7 +2902,9 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
     SparkConnectService.streamingSessionManager.registerNewStreamingQuery(sessionHolder, query)
     // Register the runner with the query if Python foreachBatch is enabled.
     foreachBatchRunnerCleaner.foreach { cleaner =>
-      sessionHolder.streamingRunnerCleanerCache.registerCleanerForQuery(query, cleaner)
+      sessionHolder.streamingForeachBatchRunnerCleanerCache.registerCleanerForQuery(
+        query,
+        cleaner)
     }
     executeHolder.eventsManager.postFinished()
 
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 2034a97fce940..1cef02d7e3466 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -57,7 +57,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     new ConcurrentHashMap()
 
   // Handles Python process clean up for streaming queries. Initialized on first use in a query.
-  private[connect] lazy val streamingRunnerCleanerCache =
+  private[connect] lazy val streamingForeachBatchRunnerCleanerCache =
     new StreamingForeachBatchHelper.CleanerCache(this)
 
   /** Add ExecuteHolder to this session. Called only by SparkConnectExecutionManager. */
@@ -160,7 +160,8 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
     eventManager.postClosed()
     // Clean up running queries
     SparkConnectService.streamingSessionManager.cleanupRunningQueries(this)
-    streamingRunnerCleanerCache.cleanUpAll() // Clean up any streaming workers.
+    streamingForeachBatchRunnerCleanerCache.cleanUpAll() // Clean up any streaming workers.
+    removeAllListeners() // removes all listener and stop python listener processes if necessary.
   }
 
   /**
@@ -237,11 +238,21 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    * Spark Connect PythonStreamingQueryListener.
    */
   private[connect] def removeCachedListener(id: String): Unit = {
-    listenerCache.get(id) match {
-      case pyListener: PythonStreamingQueryListener => pyListener.stopListenerProcess()
+    Option(listenerCache.remove(id)) match {
+      case Some(pyListener: PythonStreamingQueryListener) => pyListener.stopListenerProcess()
       case _ => // do nothing
     }
-    listenerCache.remove(id)
+  }
+
+  /**
+   * Stop all streaming listener threads, and removes all python process if applicable. Only
+   * called when session is expired.
+   */
+  private def removeAllListeners(): Unit = {
+    listenerCache.forEach((id, listener) => {
+      session.streams.removeListener(listener)
+      removeCachedListener(id)
+    })
   }
 
   /**

From 44ab0fc0068f815c7eddcd34ae4343bbfd97b64d Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Mon, 4 Sep 2023 11:41:48 +0900
Subject: [PATCH 349/986] [SPARK-45045][SS] Revert back the behavior of idle
 progress for StreamingQuery API from SPARK-43183

### What changes were proposed in this pull request?

This PR proposes to revert back the behavior of idle progress for StreamingQuery API from [SPARK-43183](https://issues.apache.org/jira/browse/SPARK-43183), to avoid breakage of tests from 3rd party data sources.

### Why are the changes needed?

We indicated that the behavioral change from SPARK-43183 broke many tests in 3rd party data sources.
(Short summary of SPARK-43183: we changed the behavior of idle progress to only provide idle event callback, instead of making progress update callback as well as adding progress for StreamingQuery API to provide as recent progresses/last progress.)

The main rationale of SPARK-43183 was to avoid making progress update callback for idle event, which had been confused users. That is more about streaming query listener, and not necessarily had to change the behavior of StreamingQuery API as well.

### Does this PR introduce _any_ user-facing change?

Yes, but the user-facing change is technically reduced before this PR, as we revert back the behavioral change partially from SPARK-43183, which wasn't released yet.

### How was this patch tested?

Modified tests. Also manually ran 3rd party data source tests which were broken with Spark 3.5.0 RC which succeeded with this change.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42773 from HeartSaVioR/SPARK-45045.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit cf0a5cb472efebb4350e48bd82a4f834e8607333)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../streaming/ProgressReporter.scala          | 164 ++++++++++--------
 .../StreamingQueryListenerSuite.scala         |   5 +-
 ...StreamingQueryStatusAndProgressSuite.scala |  41 ++++-
 3 files changed, 135 insertions(+), 75 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ProgressReporter.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ProgressReporter.scala
index 6dbecd186dc64..c0bd94e7d6cd5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ProgressReporter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ProgressReporter.scala
@@ -89,7 +89,7 @@ trait ProgressReporter extends Logging {
     sparkSession.sessionState.conf.streamingNoDataProgressEventInterval
 
   // The timestamp we report an event that has not executed anything
-  private var lastNoExecutionProgressEventTime = triggerClock.getTimeMillis()
+  private var lastNoExecutionProgressEventTime = Long.MinValue
 
   private val timestampFormat = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSS'Z'") // ISO8601
   timestampFormat.setTimeZone(DateTimeUtils.getTimeZone("UTC"))
@@ -142,21 +142,37 @@ trait ProgressReporter extends Logging {
     latestStreamProgress = to
   }
 
-  private def updateProgress(newProgress: StreamingQueryProgress): Unit = {
+  private def addNewProgress(newProgress: StreamingQueryProgress): Unit = {
     progressBuffer.synchronized {
       progressBuffer += newProgress
       while (progressBuffer.length >= sparkSession.sqlContext.conf.streamingProgressRetention) {
         progressBuffer.dequeue()
       }
     }
+  }
+
+  private def updateProgress(newProgress: StreamingQueryProgress): Unit = {
+    // Reset noDataEventTimestamp if we processed any data
+    lastNoExecutionProgressEventTime = triggerClock.getTimeMillis()
+
+    addNewProgress(newProgress)
     postEvent(new QueryProgressEvent(newProgress))
     logInfo(s"Streaming query made progress: $newProgress")
   }
 
-  private def postIdleness(): Unit = {
-    postEvent(new QueryIdleEvent(id, runId, formatTimestamp(currentTriggerStartTimestamp)))
-    logInfo(s"Streaming query has been idle and waiting for new data more than " +
-      s"${noDataProgressEventInterval} ms.")
+  private def updateIdleness(newProgress: StreamingQueryProgress): Unit = {
+    val now = triggerClock.getTimeMillis()
+    if (now - noDataProgressEventInterval >= lastNoExecutionProgressEventTime) {
+      addNewProgress(newProgress)
+      if (lastNoExecutionProgressEventTime > Long.MinValue) {
+        postEvent(new QueryIdleEvent(newProgress.id, newProgress.runId,
+          formatTimestamp(currentTriggerStartTimestamp)))
+        logInfo(s"Streaming query has been idle and waiting for new data more than " +
+          s"$noDataProgressEventInterval ms.")
+      }
+
+      lastNoExecutionProgressEventTime = now
+    }
   }
 
   /**
@@ -172,96 +188,102 @@ trait ProgressReporter extends Logging {
       currentTriggerLatestOffsets != null)
     currentTriggerEndTimestamp = triggerClock.getTimeMillis()
 
-    if (hasExecuted) {
-      val executionStats = extractExecutionStats(hasNewData)
-      val processingTimeMills = currentTriggerEndTimestamp - currentTriggerStartTimestamp
-      val processingTimeSec = Math.max(1L, processingTimeMills).toDouble / MILLIS_PER_SECOND
+    val executionStats = extractExecutionStats(hasNewData, hasExecuted)
+    val processingTimeMills = currentTriggerEndTimestamp - currentTriggerStartTimestamp
+    val processingTimeSec = Math.max(1L, processingTimeMills).toDouble / MILLIS_PER_SECOND
 
-      val inputTimeSec = if (lastTriggerStartTimestamp >= 0) {
-        (currentTriggerStartTimestamp - lastTriggerStartTimestamp).toDouble / MILLIS_PER_SECOND
-      } else {
-        Double.PositiveInfinity
-      }
-      logDebug(s"Execution stats: $executionStats")
-
-      val sourceProgress = sources.distinct.map { source =>
-        val numRecords = executionStats.inputRows.getOrElse(source, 0L)
-        val sourceMetrics = source match {
-          case withMetrics: ReportsSourceMetrics =>
-            withMetrics.metrics(Optional.ofNullable(latestStreamProgress.get(source).orNull))
-          case _ => Map[String, String]().asJava
-        }
-        new SourceProgress(
-          description = source.toString,
-          startOffset = currentTriggerStartOffsets.get(source).orNull,
-          endOffset = currentTriggerEndOffsets.get(source).orNull,
-          latestOffset = currentTriggerLatestOffsets.get(source).orNull,
-          numInputRows = numRecords,
-          inputRowsPerSecond = numRecords / inputTimeSec,
-          processedRowsPerSecond = numRecords / processingTimeSec,
-          metrics = sourceMetrics
-        )
-      }
+    val inputTimeSec = if (lastTriggerStartTimestamp >= 0) {
+      (currentTriggerStartTimestamp - lastTriggerStartTimestamp).toDouble / MILLIS_PER_SECOND
+    } else {
+      Double.PositiveInfinity
+    }
+    logDebug(s"Execution stats: $executionStats")
 
-      val sinkOutput = sinkCommitProgress.map(_.numOutputRows)
-      val sinkMetrics = sink match {
-        case withMetrics: ReportsSinkMetrics =>
-          withMetrics.metrics()
+    val sourceProgress = sources.distinct.map { source =>
+      val numRecords = executionStats.inputRows.getOrElse(source, 0L)
+      val sourceMetrics = source match {
+        case withMetrics: ReportsSourceMetrics =>
+          withMetrics.metrics(Optional.ofNullable(latestStreamProgress.get(source).orNull))
         case _ => Map[String, String]().asJava
       }
+      new SourceProgress(
+        description = source.toString,
+        startOffset = currentTriggerStartOffsets.get(source).orNull,
+        endOffset = currentTriggerEndOffsets.get(source).orNull,
+        latestOffset = currentTriggerLatestOffsets.get(source).orNull,
+        numInputRows = numRecords,
+        inputRowsPerSecond = numRecords / inputTimeSec,
+        processedRowsPerSecond = numRecords / processingTimeSec,
+        metrics = sourceMetrics
+      )
+    }
+
+    val sinkOutput = if (hasExecuted) {
+      sinkCommitProgress.map(_.numOutputRows)
+    } else {
+      sinkCommitProgress.map(_ => 0L)
+    }
 
-      val sinkProgress = SinkProgress(
-        sink.toString, sinkOutput, sinkMetrics)
-
-      val observedMetrics = extractObservedMetrics(hasNewData, lastExecution)
-
-      val newProgress = new StreamingQueryProgress(
-        id = id,
-        runId = runId,
-        name = name,
-        timestamp = formatTimestamp(currentTriggerStartTimestamp),
-        batchId = currentBatchId,
-        batchDuration = processingTimeMills,
-        durationMs =
-          new java.util.HashMap(currentDurationsMs.toMap.mapValues(long2Long).toMap.asJava),
-        eventTime = new java.util.HashMap(executionStats.eventTimeStats.asJava),
-        stateOperators = executionStats.stateOperators.toArray,
-        sources = sourceProgress.toArray,
-        sink = sinkProgress,
-        observedMetrics = new java.util.HashMap(observedMetrics.asJava))
-
-      // Reset noDataEventTimestamp if we processed any data
-      lastNoExecutionProgressEventTime = triggerClock.getTimeMillis()
+    val sinkMetrics = sink match {
+      case withMetrics: ReportsSinkMetrics =>
+        withMetrics.metrics()
+      case _ => Map[String, String]().asJava
+    }
+
+    val sinkProgress = SinkProgress(
+      sink.toString, sinkOutput, sinkMetrics)
+
+    val observedMetrics = extractObservedMetrics(hasNewData, lastExecution)
+
+    val newProgress = new StreamingQueryProgress(
+      id = id,
+      runId = runId,
+      name = name,
+      timestamp = formatTimestamp(currentTriggerStartTimestamp),
+      batchId = currentBatchId,
+      batchDuration = processingTimeMills,
+      durationMs =
+        new java.util.HashMap(currentDurationsMs.toMap.mapValues(long2Long).toMap.asJava),
+      eventTime = new java.util.HashMap(executionStats.eventTimeStats.asJava),
+      stateOperators = executionStats.stateOperators.toArray,
+      sources = sourceProgress.toArray,
+      sink = sinkProgress,
+      observedMetrics = new java.util.HashMap(observedMetrics.asJava))
+
+    if (hasExecuted) {
       updateProgress(newProgress)
     } else {
-      val now = triggerClock.getTimeMillis()
-      if (now - noDataProgressEventInterval >= lastNoExecutionProgressEventTime) {
-        lastNoExecutionProgressEventTime = now
-        postIdleness()
-      }
+      updateIdleness(newProgress)
     }
 
     currentStatus = currentStatus.copy(isTriggerActive = false)
   }
 
   /** Extract statistics about stateful operators from the executed query plan. */
-  private def extractStateOperatorMetrics(): Seq[StateOperatorProgress] = {
-    assert(lastExecution != null, "lastExecution is not available")
+  private def extractStateOperatorMetrics(hasExecuted: Boolean): Seq[StateOperatorProgress] = {
+    if (lastExecution == null) return Nil
+    // lastExecution could belong to one of the previous triggers if `!hasExecuted`.
+    // Walking the plan again should be inexpensive.
     lastExecution.executedPlan.collect {
       case p if p.isInstanceOf[StateStoreWriter] =>
-        p.asInstanceOf[StateStoreWriter].getProgress()
+        val progress = p.asInstanceOf[StateStoreWriter].getProgress()
+        if (hasExecuted) {
+          progress
+        } else {
+          progress.copy(newNumRowsUpdated = 0, newNumRowsDroppedByWatermark = 0)
+        }
     }
   }
 
   /** Extracts statistics from the most recent query execution. */
-  private def extractExecutionStats(hasNewData: Boolean): ExecutionStats = {
+  private def extractExecutionStats(hasNewData: Boolean, hasExecuted: Boolean): ExecutionStats = {
     val hasEventTime = logicalPlan.collect { case e: EventTimeWatermark => e }.nonEmpty
     val watermarkTimestamp =
       if (hasEventTime) Map("watermark" -> formatTimestamp(offsetSeqMetadata.batchWatermarkMs))
       else Map.empty[String, String]
 
     // SPARK-19378: Still report metrics even though no data was processed while reporting progress.
-    val stateOperators = extractStateOperatorMetrics()
+    val stateOperators = extractStateOperatorMetrics(hasExecuted)
 
     if (!hasNewData) {
       return ExecutionStats(Map.empty, stateOperators, watermarkTimestamp)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryListenerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryListenerSuite.scala
index 5b5e8732e0dc9..52b740bc5c34f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryListenerSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryListenerSuite.scala
@@ -331,9 +331,9 @@ class StreamingQueryListenerSuite extends StreamTest with BeforeAndAfter {
           }
           true
         }
-        // `recentProgress` should not receive any events
+        // `recentProgress` should not receive too many no data events
         actions += AssertOnQuery { q =>
-          q.recentProgress.isEmpty
+          q.recentProgress.size > 1 && q.recentProgress.size <= 11
         }
         testStream(input.toDS)(actions.toSeq: _*)
         spark.sparkContext.listenerBus.waitUntilEmpty()
@@ -524,7 +524,6 @@ class StreamingQueryListenerSuite extends StreamTest with BeforeAndAfter {
         testStream(result)(
           StartStream(trigger = Trigger.ProcessingTime(10), triggerClock = clock),
           AddData(input, 10),
-          // checkProgressEvent(1),
           AdvanceManualClock(10),
           checkProgressEvent(1),
           AdvanceManualClock(90),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryStatusAndProgressSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryStatusAndProgressSuite.scala
index d016b33462778..fa7a3803d059b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryStatusAndProgressSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryStatusAndProgressSuite.scala
@@ -24,11 +24,13 @@ import scala.collection.JavaConverters._
 import org.json4s.jackson.JsonMethods._
 import org.scalatest.concurrent.Eventually
 import org.scalatest.concurrent.PatienceConfiguration.Timeout
+import org.scalatest.time.SpanSugar._
 
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
 import org.apache.spark.sql.execution.streaming.MemoryStream
 import org.apache.spark.sql.functions._
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.streaming.StreamingQueryStatusAndProgressSuite._
 import org.apache.spark.sql.streaming.StreamingQuerySuite.clock
 import org.apache.spark.sql.streaming.util.StreamManualClock
@@ -286,6 +288,42 @@ class StreamingQueryStatusAndProgressSuite extends StreamTest with Eventually {
     }
   }
 
+  test("SPARK-19378: Continue reporting stateOp metrics even if there is no active trigger") {
+    import testImplicits._
+
+    withSQLConf(SQLConf.STREAMING_NO_DATA_PROGRESS_EVENT_INTERVAL.key -> "10") {
+      val inputData = MemoryStream[Int]
+
+      val query = inputData.toDS().toDF("value")
+        .select($"value")
+        .groupBy($"value")
+        .agg(count("*"))
+        .writeStream
+        .queryName("metric_continuity")
+        .format("memory")
+        .outputMode("complete")
+        .start()
+      try {
+        inputData.addData(1, 2)
+        query.processAllAvailable()
+
+        val progress = query.lastProgress
+        assert(progress.stateOperators.length > 0)
+        // Should emit new progresses every 10 ms, but we could be facing a slow Jenkins
+        eventually(timeout(1.minute)) {
+          val nextProgress = query.lastProgress
+          assert(nextProgress.timestamp !== progress.timestamp)
+          assert(nextProgress.numInputRows === 0)
+          assert(nextProgress.stateOperators.head.numRowsTotal === 2)
+          assert(nextProgress.stateOperators.head.numRowsUpdated === 0)
+          assert(nextProgress.sink.numOutputRows === 0)
+        }
+      } finally {
+        query.stop()
+      }
+    }
+  }
+
   test("SPARK-29973: Make `processedRowsPerSecond` calculated more accurately and meaningfully") {
     import testImplicits._
 
@@ -298,7 +336,8 @@ class StreamingQueryStatusAndProgressSuite extends StreamTest with Eventually {
       AdvanceManualClock(1000),
       waitUntilBatchProcessed,
       AssertOnQuery(query => {
-        assert(query.lastProgress == null)
+        assert(query.lastProgress.numInputRows == 0)
+        assert(query.lastProgress.processedRowsPerSecond == 0.0d)
         true
       }),
       AddData(inputData, 1, 2),

From fe3a20a5e231fd1516666b141e72ea8a1090647a Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Mon, 4 Sep 2023 15:25:33 +0800
Subject: [PATCH 350/986] [SPARK-44876][PYTHON][FOLLOWUP][3.5] Fix
 Arrow-optimized Python UDF to delay wrapping the function with
 fail_on_stopiteration

### What changes were proposed in this pull request?

This is a backport of https://github.com/apache/spark/pull/42784.

Fixes Arrow-optimized Python UDF to delay wrapping the function with `fail_on_stopiteration`.

Also removed unnecessary verification `verify_result_type`.

### Why are the changes needed?

For Arrow-optimized Python UDF, `fail_on_stopiteration` can be applied to only the wrapped function to avoid unnecessary overhead.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added the related test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42785 from ueshin/issues/SPARK-44876/3.5/fail_on_stopiteration.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/tests/test_udf.py | 21 ++++++++++++++++++---
 python/pyspark/worker.py             | 22 +++++++---------------
 2 files changed, 25 insertions(+), 18 deletions(-)

diff --git a/python/pyspark/sql/tests/test_udf.py b/python/pyspark/sql/tests/test_udf.py
index 239ff27813beb..2f8c1cd21364f 100644
--- a/python/pyspark/sql/tests/test_udf.py
+++ b/python/pyspark/sql/tests/test_udf.py
@@ -24,7 +24,7 @@
 
 from pyspark import SparkContext, SQLContext
 from pyspark.sql import SparkSession, Column, Row
-from pyspark.sql.functions import udf, assert_true, lit, rand
+from pyspark.sql.functions import col, udf, assert_true, lit, rand
 from pyspark.sql.udf import UserDefinedFunction
 from pyspark.sql.types import (
     StringType,
@@ -38,9 +38,9 @@
     TimestampNTZType,
     DayTimeIntervalType,
 )
-from pyspark.errors import AnalysisException, PySparkTypeError
+from pyspark.errors import AnalysisException, PythonException, PySparkTypeError
 from pyspark.testing.sqlutils import ReusedSQLTestCase, test_compiled, test_not_compiled_message
-from pyspark.testing.utils import QuietTest
+from pyspark.testing.utils import QuietTest, assertDataFrameEqual
 
 
 class BaseUDFTestsMixin(object):
@@ -898,6 +898,21 @@ def test_complex_return_types(self):
         self.assertEquals(row[1], {"a": "b"})
         self.assertEquals(row[2], Row(col1=1, col2=2))
 
+    def test_raise_stop_iteration(self):
+        @udf("int")
+        def test_udf(a):
+            if a < 5:
+                return a
+            else:
+                raise StopIteration()
+
+        assertDataFrameEqual(
+            self.spark.range(5).select(test_udf(col("id"))), [Row(i) for i in range(5)]
+        )
+
+        with self.assertRaisesRegex(PythonException, "StopIteration"):
+            self.spark.range(10).select(test_udf(col("id"))).show()
+
 
 class UDFTests(BaseUDFTestsMixin, ReusedSQLTestCase):
     @classmethod
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index edbfad4a5dc23..d2ea18c45c92b 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -154,20 +154,9 @@ def wrap_arrow_batch_udf(f, return_type):
     elif type(return_type) == BinaryType:
         result_func = lambda r: bytes(r) if r is not None else r  # noqa: E731
 
+    @fail_on_stopiteration
     def evaluate(*args: pd.Series) -> pd.Series:
-        return pd.Series(result_func(f(*a)) for a in zip(*args))
-
-    def verify_result_type(result):
-        if not hasattr(result, "__len__"):
-            pd_type = "pandas.DataFrame" if type(return_type) == StructType else "pandas.Series"
-            raise PySparkTypeError(
-                error_class="UDF_RETURN_TYPE",
-                message_parameters={
-                    "expected": pd_type,
-                    "actual": type(result).__name__,
-                },
-            )
-        return result
+        return pd.Series([result_func(f(*a)) for a in zip(*args)])
 
     def verify_result_length(result, length):
         if len(result) != length:
@@ -181,7 +170,7 @@ def verify_result_length(result, length):
         return result
 
     return lambda *a: (
-        verify_result_length(verify_result_type(evaluate(*a)), len(a[0])),
+        verify_result_length(evaluate(*a), len(a[0])),
         arrow_return_type,
     )
 
@@ -543,7 +532,10 @@ def read_single_udf(pickleSer, infile, eval_type, runner_conf, udf_index):
         else:
             chained_func = chain(chained_func, f)
 
-    if eval_type == PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF:
+    if eval_type in (
+        PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF,
+        PythonEvalType.SQL_ARROW_BATCHED_UDF,
+    ):
         func = chained_func
     else:
         # make sure StopIteration's raised in the user code are not ignored

From 6112d78cba20fd2e9aa298190371dd52205dc762 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 4 Sep 2023 16:24:43 +0800
Subject: [PATCH 351/986] [SPARK-45052][SQL][PYTHON][CONNECT][3.5] Make
 function aliases output column name consistent with SQL

### What changes were proposed in this pull request?
backport https://github.com/apache/spark/pull/42775 to 3.5

### Why are the changes needed?
to make `func(col)` consistent with `expr(func(col))`

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #42786 from zhengruifeng/try_column_name_35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../org/apache/spark/sql/functions.scala      |  12 +-
 .../explain-results/describe.explain          |   2 +-
 .../explain-results/function_ceiling.explain  |   2 +-
 .../function_ceiling_scale.explain            |   2 +-
 .../explain-results/function_printf.explain   |   2 +-
 .../explain-results/function_sign.explain     |   2 +-
 .../explain-results/function_std.explain      |   2 +-
 .../query-tests/queries/function_ceiling.json |   2 +-
 .../queries/function_ceiling.proto.bin        | Bin 173 -> 176 bytes
 .../queries/function_ceiling_scale.json       |   2 +-
 .../queries/function_ceiling_scale.proto.bin  | Bin 179 -> 182 bytes
 .../query-tests/queries/function_printf.json  |   2 +-
 .../queries/function_printf.proto.bin         | Bin 196 -> 189 bytes
 .../query-tests/queries/function_sign.json    |   2 +-
 .../queries/function_sign.proto.bin           | Bin 175 -> 173 bytes
 .../query-tests/queries/function_std.json     |   2 +-
 .../queries/function_std.proto.bin            | Bin 175 -> 172 bytes
 python/pyspark/sql/connect/functions.py       |  26 +-
 python/pyspark/sql/functions.py               | 714 +++++++++++++-----
 .../org/apache/spark/sql/functions.scala      | 202 +++--
 20 files changed, 628 insertions(+), 348 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index fa8c5782e0614..fe992ae6740bf 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -987,7 +987,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def std(e: Column): Column = stddev(e)
+  def std(e: Column): Column = Column.fn("std", e)
 
   /**
    * Aggregate function: alias for `stddev_samp`.
@@ -2337,7 +2337,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def ceiling(e: Column, scale: Column): Column = ceil(e, scale)
+  def ceiling(e: Column, scale: Column): Column = Column.fn("ceiling", e, scale)
 
   /**
    * Computes the ceiling of the given value of `e` to 0 decimal places.
@@ -2345,7 +2345,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def ceiling(e: Column): Column = ceil(e)
+  def ceiling(e: Column): Column = Column.fn("ceiling", e)
 
   /**
    * Convert a number in a string column from one base to another.
@@ -2800,7 +2800,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def power(l: Column, r: Column): Column = pow(l, r)
+  def power(l: Column, r: Column): Column = Column.fn("power", l, r)
 
   /**
    * Returns the positive value of dividend mod divisor.
@@ -2937,7 +2937,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def sign(e: Column): Column = signum(e)
+  def sign(e: Column): Column = Column.fn("sign", e)
 
   /**
    * Computes the signum of the given value.
@@ -4420,7 +4420,7 @@ object functions {
    * @since 3.5.0
    */
   def printf(format: Column, arguments: Column*): Column =
-    Column.fn("format_string", lit(format) +: arguments: _*)
+    Column.fn("printf", (format +: arguments): _*)
 
   /**
    * Decodes a `str` in 'application/x-www-form-urlencoded' format using a specific encoding
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/describe.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/describe.explain
index f205f7ef7a140..b203f715c71a6 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/describe.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/describe.explain
@@ -1,6 +1,6 @@
 Project [summary#0, element_at(id#0, summary#0, None, false) AS id#0, element_at(b#0, summary#0, None, false) AS b#0]
 +- Project [id#0, b#0, summary#0]
    +- Generate explode([count,mean,stddev,min,max]), false, [summary#0]
-      +- Aggregate [map(cast(count as string), cast(count(id#0L) as string), cast(mean as string), cast(avg(id#0L) as string), cast(stddev as string), cast(stddev_samp(cast(id#0L as double)) as string), cast(min as string), cast(min(id#0L) as string), cast(max as string), cast(max(id#0L) as string)) AS id#0, map(cast(count as string), cast(count(b#0) as string), cast(mean as string), cast(avg(b#0) as string), cast(stddev as string), cast(stddev_samp(b#0) as string), cast(min as string), cast(min(b#0) as string), cast(max as string), cast(max(b#0) as string)) AS b#0]
+      +- Aggregate [map(cast(count as string), cast(count(id#0L) as string), cast(mean as string), cast(avg(id#0L) as string), cast(stddev as string), cast(stddev(cast(id#0L as double)) as string), cast(min as string), cast(min(id#0L) as string), cast(max as string), cast(max(id#0L) as string)) AS id#0, map(cast(count as string), cast(count(b#0) as string), cast(mean as string), cast(avg(b#0) as string), cast(stddev as string), cast(stddev(b#0) as string), cast(min as string), cast(min(b#0) as string), cast(max as string), cast(max(b#0) as string)) AS b#0]
          +- Project [id#0L, b#0]
             +- LocalRelation <empty>, [id#0L, a#0, b#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling.explain
index 9cf776a8dbaa7..217d7434b8020 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling.explain
@@ -1,2 +1,2 @@
-Project [CEIL(b#0) AS CEIL(b)#0L]
+Project [ceiling(b#0) AS ceiling(b)#0L]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling_scale.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling_scale.explain
index cdf8d356e47dd..2c41c12278bad 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling_scale.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ceiling_scale.explain
@@ -1,2 +1,2 @@
-Project [ceil(cast(b#0 as decimal(30,15)), 2) AS ceil(b, 2)#0]
+Project [ceiling(cast(b#0 as decimal(30,15)), 2) AS ceiling(b, 2)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_printf.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_printf.explain
index 10409df007070..8d55d77340002 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_printf.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_printf.explain
@@ -1,2 +1,2 @@
-Project [format_string(g#0, a#0, g#0) AS format_string(g, a, g)#0]
+Project [printf(g#0, a#0, g#0) AS printf(g, a, g)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_sign.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_sign.explain
index 807fa3300836c..5d41e16b6cef4 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_sign.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_sign.explain
@@ -1,2 +1,2 @@
-Project [SIGNUM(b#0) AS SIGNUM(b)#0]
+Project [sign(b#0) AS sign(b)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_std.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_std.explain
index 106191e5a32ec..cf5b86ae3a571 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_std.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_std.explain
@@ -1,2 +1,2 @@
-Aggregate [stddev(cast(a#0 as double)) AS stddev(a)#0]
+Aggregate [std(cast(a#0 as double)) AS std(a)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.json b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.json
index 5a9961ab47f55..99726305e8524 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "ceil",
+        "functionName": "ceiling",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "b"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling.proto.bin
index 3761deb1663a2fba0fd8e7e69eafd1a4d0f83415..cc91ac246a57c37ca5553326f5c8e57b4af2cba5 100644
GIT binary patch
delta 34
pcmZ3>xPg(4i%Eb{YUM<>>B2%%0$l9LshK&MdFeu|Ld;x@NdScs2S@+_

delta 31
mcmdnMxR#NPi%Eb{YS~1#=>q&xyj(2FshK%KtU}COj7b1!r3L!{

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.json b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.json
index bda5e85924c30..c0b0742b12157 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "ceil",
+        "functionName": "ceiling",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "b"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_ceiling_scale.proto.bin
index 8db402ac167e0b1a1908e94a935376d3124a3876..30efc42b9d2bcabddfdc0c6b80c08971c759feff 100644
GIT binary patch
delta 40
vcmdnYxQ&sGi%Eb{YW+mE>5>vsVqEOWshK&MdFeu|Ld;x@NkS}KOa@E<wiXA#

delta 37
scmdnSxS5fSi%Eb{YRyEp>0+W%!dxuLshK%KtU}COj7dT)TucT`0FiG7a{vGU

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_printf.json b/connector/connect/common/src/test/resources/query-tests/queries/function_printf.json
index dc7ca880c4b09..73ca595e8650b 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_printf.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_printf.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "format_string",
+        "functionName": "printf",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "g"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_printf.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_printf.proto.bin
index 7ebdda6cac10d8646e13dd3853e1d444f41b1586..3fb3862f44d91262510d0c07615e0256348e4a8e 100644
GIT binary patch
delta 29
lcmX@YxR;TQi%Eb{YTHD%>D=;CvRrHhMVWaeX%p9r0sv~&2mSy6

delta 54
zcmdnXc!ZISi%Eb{YVSn0>FR1yDqOs2`9-;jCGo{2MVWc&Laai}T#QgE5y}GqaM%l>

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_sign.json b/connector/connect/common/src/test/resources/query-tests/queries/function_sign.json
index bcf6ad7eb174d..34451969078b0 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_sign.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_sign.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "signum",
+        "functionName": "sign",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "b"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_sign.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_sign.proto.bin
index af52abfb7f25b34a0a6afd5283a80270576c357d..ff866c97303edefe0216166590c81a175aa505f1 100644
GIT binary patch
delta 31
mcmZ3_xR#NPi%Eb{YS~1#=>q&xyj(2Bndx~#tU}COj7b1#Tm}vR

delta 33
ocmZ3>xSo-Xi%Eb{YQ;ph=|X~1{9J6sndy0@xk9W$%v_8~0DOA}`Tzg`

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_std.json b/connector/connect/common/src/test/resources/query-tests/queries/function_std.json
index 1403817886ca0..cbdb4ea9e5e83 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_std.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_std.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "stddev",
+        "functionName": "std",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "a"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_std.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_std.proto.bin
index 8d214eea8e74e4e8a8bc6674175c755ce456c838..7e34b0427c23bb8aeb5810cbf532787a68aa8e57 100644
GIT binary patch
delta 30
lcmZ3_xQ3C9i%Eb{YUxC_>HK_BJY3AhB`HFzLd;x@i2z{81)%@{

delta 33
ocmZ3(xSo-Xi%Eb{YQ;ph=|X~1{9J6sB`GPXWkRe%%v_9#0DKSz?*IS*

diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index 0c511d6c07c54..e2583f84c417c 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -558,7 +558,11 @@ def ceil(col: "ColumnOrName") -> Column:
 ceil.__doc__ = pysparkfuncs.ceil.__doc__
 
 
-ceiling = ceil
+def ceiling(col: "ColumnOrName") -> Column:
+    return _invoke_function_over_columns("ceiling", col)
+
+
+ceiling.__doc__ = pysparkfuncs.ceiling.__doc__
 
 
 def conv(col: "ColumnOrName", fromBase: int, toBase: int) -> Column:
@@ -823,7 +827,11 @@ def signum(col: "ColumnOrName") -> Column:
 signum.__doc__ = pysparkfuncs.signum.__doc__
 
 
-sign = signum
+def sign(col: "ColumnOrName") -> Column:
+    return _invoke_function_over_columns("sign", col)
+
+
+sign.__doc__ = pysparkfuncs.sign.__doc__
 
 
 def sin(col: "ColumnOrName") -> Column:
@@ -1199,13 +1207,17 @@ def skewness(col: "ColumnOrName") -> Column:
 
 
 def stddev(col: "ColumnOrName") -> Column:
-    return stddev_samp(col)
+    return _invoke_function_over_columns("stddev", col)
 
 
 stddev.__doc__ = pysparkfuncs.stddev.__doc__
 
 
-std = stddev
+def std(col: "ColumnOrName") -> Column:
+    return _invoke_function_over_columns("std", col)
+
+
+std.__doc__ = pysparkfuncs.std.__doc__
 
 
 def stddev_samp(col: "ColumnOrName") -> Column:
@@ -1329,7 +1341,7 @@ def variance(col: "ColumnOrName") -> Column:
 
 
 def every(col: "ColumnOrName") -> Column:
-    return _invoke_function_over_columns("bool_and", col)
+    return _invoke_function_over_columns("every", col)
 
 
 every.__doc__ = pysparkfuncs.every.__doc__
@@ -1343,7 +1355,7 @@ def bool_and(col: "ColumnOrName") -> Column:
 
 
 def some(col: "ColumnOrName") -> Column:
-    return _invoke_function_over_columns("bool_or", col)
+    return _invoke_function_over_columns("some", col)
 
 
 some.__doc__ = pysparkfuncs.some.__doc__
@@ -2558,7 +2570,7 @@ def parse_url(
 
 
 def printf(format: "ColumnOrName", *cols: "ColumnOrName") -> Column:
-    return _invoke_function("printf", lit(format), *[_to_col(c) for c in cols])
+    return _invoke_function("printf", _to_col(format), *[_to_col(c) for c in cols])
 
 
 printf.__doc__ = pysparkfuncs.printf.__doc__
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 4aafcf90d8f48..1fe2f7d40a2c1 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -412,9 +412,15 @@ def try_avg(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([(1982, 15), (1990, 2)], ["birth", "age"])
-    >>> df.select(try_avg(df.age).alias('r')).collect()
-    [Row(r=8.5)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [(1982, 15), (1990, 2)], ["birth", "age"]
+    ... ).select(sf.try_avg("age")).show()
+    +------------+
+    |try_avg(age)|
+    +------------+
+    |         8.5|
+    +------------+
     """
     return _invoke_function_over_columns("try_avg", col)
 
@@ -565,9 +571,13 @@ def try_sum(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.range(10)
-    >>> df.select(try_sum(df["id"]).alias('r')).collect()
-    [Row(r=45)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(10).select(sf.try_sum("id")).show()
+    +-----------+
+    |try_sum(id)|
+    +-----------+
+    |         45|
+    +-----------+
     """
     return _invoke_function_over_columns("try_sum", col)
 
@@ -1316,7 +1326,37 @@ def ceil(col: "ColumnOrName") -> Column:
     return _invoke_function_over_columns("ceil", col)
 
 
-ceiling = ceil
+@try_remote_functions
+def ceiling(col: "ColumnOrName") -> Column:
+    """
+    Computes the ceiling of the given value.
+
+    .. versionadded:: 1.4.0
+
+    .. versionchanged:: 3.4.0
+        Supports Spark Connect.
+
+    Parameters
+    ----------
+    col : :class:`~pyspark.sql.Column` or str
+        target column to compute on.
+
+    Returns
+    -------
+    :class:`~pyspark.sql.Column`
+        the column for computed results.
+
+    Examples
+    --------
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.ceil(sf.lit(-0.1))).show()
+    +----------+
+    |CEIL(-0.1)|
+    +----------+
+    |         0|
+    +----------+
+    """
+    return _invoke_function_over_columns("ceiling", col)
 
 
 @try_remote_functions
@@ -1668,14 +1708,15 @@ def negative(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> spark.range(3).select(negative("id").alias("n")).show()
-    +---+
-    |  n|
-    +---+
-    |  0|
-    | -1|
-    | -2|
-    +---+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(3).select(sf.negative("id")).show()
+    +------------+
+    |negative(id)|
+    +------------+
+    |           0|
+    |          -1|
+    |          -2|
+    +------------+
     """
     return _invoke_function_over_columns("negative", col)
 
@@ -1825,25 +1866,54 @@ def signum(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.range(1)
-    >>> df.select(signum(lit(-5))).show()
-    +----------+
-    |SIGNUM(-5)|
-    +----------+
-    |      -1.0|
-    +----------+
-
-    >>> df.select(signum(lit(6))).show()
-    +---------+
-    |SIGNUM(6)|
-    +---------+
-    |      1.0|
-    +---------+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(
+    ...     sf.signum(sf.lit(-5)),
+    ...     sf.signum(sf.lit(6))
+    ... ).show()
+    +----------+---------+
+    |SIGNUM(-5)|SIGNUM(6)|
+    +----------+---------+
+    |      -1.0|      1.0|
+    +----------+---------+
     """
     return _invoke_function_over_columns("signum", col)
 
 
-sign = signum
+@try_remote_functions
+def sign(col: "ColumnOrName") -> Column:
+    """
+    Computes the signum of the given value.
+
+    .. versionadded:: 1.4.0
+
+    .. versionchanged:: 3.4.0
+        Supports Spark Connect.
+
+    Parameters
+    ----------
+    col : :class:`~pyspark.sql.Column` or str
+        target column to compute on.
+
+    Returns
+    -------
+    :class:`~pyspark.sql.Column`
+        the column for computed results.
+
+    Examples
+    --------
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(
+    ...     sf.sign(sf.lit(-5)),
+    ...     sf.sign(sf.lit(6))
+    ... ).show()
+    +--------+-------+
+    |sign(-5)|sign(6)|
+    +--------+-------+
+    |    -1.0|    1.0|
+    +--------+-------+
+    """
+    return _invoke_function_over_columns("sign", col)
 
 
 @try_remote_functions
@@ -2146,15 +2216,17 @@ def getbit(col: "ColumnOrName", pos: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([[1],[1],[2]], ["c"])
-    >>> df.select(getbit("c", lit(1)).alias("d")).show()
-    +---+
-    |  d|
-    +---+
-    |  0|
-    |  0|
-    |  1|
-    +---+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[1], [1], [2]], ["c"]
+    ... ).select(sf.getbit("c", sf.lit(1))).show()
+    +------------+
+    |getbit(c, 1)|
+    +------------+
+    |           0|
+    |           0|
+    |           1|
+    +------------+
     """
     return _invoke_function_over_columns("getbit", col, pos)
 
@@ -2351,14 +2423,45 @@ def stddev(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.range(6)
-    >>> df.select(stddev(df.id)).first()
-    Row(stddev_samp(id)=1.87082...)
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(6).select(sf.stddev("id")).show()
+    +------------------+
+    |        stddev(id)|
+    +------------------+
+    |1.8708286933869...|
+    +------------------+
     """
     return _invoke_function_over_columns("stddev", col)
 
 
-std = stddev
+@try_remote_functions
+def std(col: "ColumnOrName") -> Column:
+    """
+    Aggregate function: alias for stddev_samp.
+
+    .. versionadded:: 3.5.0
+
+    Parameters
+    ----------
+    col : :class:`~pyspark.sql.Column` or str
+        target column to compute on.
+
+    Returns
+    -------
+    :class:`~pyspark.sql.Column`
+        standard deviation of given column.
+
+    Examples
+    --------
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(6).select(sf.std("id")).show()
+    +------------------+
+    |           std(id)|
+    +------------------+
+    |1.8708286933869...|
+    +------------------+
+    """
+    return _invoke_function_over_columns("std", col)
 
 
 @try_remote_functions
@@ -2384,9 +2487,13 @@ def stddev_samp(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.range(6)
-    >>> df.select(stddev_samp(df.id)).first()
-    Row(stddev_samp(id)=1.87082...)
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(6).select(sf.stddev_samp("id")).show()
+    +------------------+
+    |   stddev_samp(id)|
+    +------------------+
+    |1.8708286933869...|
+    +------------------+
     """
     return _invoke_function_over_columns("stddev_samp", col)
 
@@ -2414,9 +2521,13 @@ def stddev_pop(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.range(6)
-    >>> df.select(stddev_pop(df.id)).first()
-    Row(stddev_pop(id)=1.70782...)
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(6).select(sf.stddev_pop("id")).show()
+    +-----------------+
+    |   stddev_pop(id)|
+    +-----------------+
+    |1.707825127659...|
+    +-----------------+
     """
     return _invoke_function_over_columns("stddev_pop", col)
 
@@ -2816,27 +2927,35 @@ def every(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([[True], [True], [True]], ["flag"])
-    >>> df.select(every("flag")).show()
-    +--------------+
-    |bool_and(flag)|
-    +--------------+
-    |          true|
-    +--------------+
-    >>> df = spark.createDataFrame([[True], [False], [True]], ["flag"])
-    >>> df.select(every("flag")).show()
-    +--------------+
-    |bool_and(flag)|
-    +--------------+
-    |         false|
-    +--------------+
-    >>> df = spark.createDataFrame([[False], [False], [False]], ["flag"])
-    >>> df.select(every("flag")).show()
-    +--------------+
-    |bool_and(flag)|
-    +--------------+
-    |         false|
-    +--------------+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[True], [True], [True]], ["flag"]
+    ... ).select(sf.every("flag")).show()
+    +-----------+
+    |every(flag)|
+    +-----------+
+    |       true|
+    +-----------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[True], [False], [True]], ["flag"]
+    ... ).select(sf.every("flag")).show()
+    +-----------+
+    |every(flag)|
+    +-----------+
+    |      false|
+    +-----------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[False], [False], [False]], ["flag"]
+    ... ).select(sf.every("flag")).show()
+    +-----------+
+    |every(flag)|
+    +-----------+
+    |      false|
+    +-----------+
     """
     return _invoke_function_over_columns("every", col)
 
@@ -2904,27 +3023,35 @@ def some(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([[True], [True], [True]], ["flag"])
-    >>> df.select(some("flag")).show()
-    +-------------+
-    |bool_or(flag)|
-    +-------------+
-    |         true|
-    +-------------+
-    >>> df = spark.createDataFrame([[True], [False], [True]], ["flag"])
-    >>> df.select(some("flag")).show()
-    +-------------+
-    |bool_or(flag)|
-    +-------------+
-    |         true|
-    +-------------+
-    >>> df = spark.createDataFrame([[False], [False], [False]], ["flag"])
-    >>> df.select(some("flag")).show()
-    +-------------+
-    |bool_or(flag)|
-    +-------------+
-    |        false|
-    +-------------+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[True], [True], [True]], ["flag"]
+    ... ).select(sf.some("flag")).show()
+    +----------+
+    |some(flag)|
+    +----------+
+    |      true|
+    +----------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[True], [False], [True]], ["flag"]
+    ... ).select(sf.some("flag")).show()
+    +----------+
+    |some(flag)|
+    +----------+
+    |      true|
+    +----------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [[False], [False], [False]], ["flag"]
+    ... ).select(sf.some("flag")).show()
+    +----------+
+    |some(flag)|
+    +----------+
+    |     false|
+    +----------+
     """
     return _invoke_function_over_columns("some", col)
 
@@ -4546,22 +4673,23 @@ def approx_percentile(
 
     Examples
     --------
-    >>> key = (col("id") % 3).alias("key")
-    >>> value = (randn(42) + key * 10).alias("value")
+    >>> import pyspark.sql.functions as sf
+    >>> key = (sf.col("id") % 3).alias("key")
+    >>> value = (sf.randn(42) + key * 10).alias("value")
     >>> df = spark.range(0, 1000, 1, 1).select(key, value)
     >>> df.select(
-    ...     approx_percentile("value", [0.25, 0.5, 0.75], 1000000).alias("quantiles")
+    ...     sf.approx_percentile("value", [0.25, 0.5, 0.75], 1000000)
     ... ).printSchema()
     root
-     |-- quantiles: array (nullable = true)
+     |-- approx_percentile(value, array(0.25, 0.5, 0.75), 1000000): array (nullable = true)
      |    |-- element: double (containsNull = false)
 
     >>> df.groupBy("key").agg(
-    ...     approx_percentile("value", 0.5, lit(1000000)).alias("median")
+    ...     sf.approx_percentile("value", 0.5, sf.lit(1000000))
     ... ).printSchema()
     root
      |-- key: long (nullable = true)
-     |-- median: double (nullable = true)
+     |-- approx_percentile(value, 0.5, 1000000): double (nullable = true)
     """
     sc = get_active_spark_context()
 
@@ -5603,15 +5731,25 @@ def first_value(col: "ColumnOrName", ignoreNulls: Optional[Union[bool, Column]]
 
     Examples
     --------
-    >>> df = spark.createDataFrame([(None, 1),
-    ...                             ("a", 2),
-    ...                             ("a", 3),
-    ...                             ("b", 8),
-    ...                             ("b", 2)], ["c1", "c2"])
-    >>> df.select(first_value('c1').alias('a'), first_value('c2').alias('b')).collect()
-    [Row(a=None, b=1)]
-    >>> df.select(first_value('c1', True).alias('a'), first_value('c2', True).alias('b')).collect()
-    [Row(a='a', b=1)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [(None, 1), ("a", 2), ("a", 3), ("b", 8), ("b", 2)], ["a", "b"]
+    ... ).select(sf.first_value('a'), sf.first_value('b')).show()
+    +--------------+--------------+
+    |first_value(a)|first_value(b)|
+    +--------------+--------------+
+    |          NULL|             1|
+    +--------------+--------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [(None, 1), ("a", 2), ("a", 3), ("b", 8), ("b", 2)], ["a", "b"]
+    ... ).select(sf.first_value('a', True), sf.first_value('b', True)).show()
+    +--------------+--------------+
+    |first_value(a)|first_value(b)|
+    +--------------+--------------+
+    |             a|             1|
+    +--------------+--------------+
     """
     if ignoreNulls is None:
         return _invoke_function_over_columns("first_value", col)
@@ -5641,15 +5779,25 @@ def last_value(col: "ColumnOrName", ignoreNulls: Optional[Union[bool, Column]] =
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("a", 1),
-    ...                             ("a", 2),
-    ...                             ("a", 3),
-    ...                             ("b", 8),
-    ...                             (None, 2)], ["c1", "c2"])
-    >>> df.select(last_value('c1').alias('a'), last_value('c2').alias('b')).collect()
-    [Row(a=None, b=2)]
-    >>> df.select(last_value('c1', True).alias('a'), last_value('c2', True).alias('b')).collect()
-    [Row(a='b', b=2)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("a", 1), ("a", 2), ("a", 3), ("b", 8), (None, 2)], ["a", "b"]
+    ... ).select(sf.last_value('a'), sf.last_value('b')).show()
+    +-------------+-------------+
+    |last_value(a)|last_value(b)|
+    +-------------+-------------+
+    |         NULL|            2|
+    +-------------+-------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("a", 1), ("a", 2), ("a", 3), ("b", 8), (None, 2)], ["a", "b"]
+    ... ).select(sf.last_value('a', True), sf.last_value('b', True)).show()
+    +-------------+-------------+
+    |last_value(a)|last_value(b)|
+    +-------------+-------------+
+    |            b|            2|
+    +-------------+-------------+
     """
     if ignoreNulls is None:
         return _invoke_function_over_columns("last_value", col)
@@ -5811,8 +5959,8 @@ def curdate() -> Column:
 
     Examples
     --------
-    >>> df = spark.range(1)
-    >>> df.select(curdate()).show() # doctest: +SKIP
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.curdate()).show() # doctest: +SKIP
     +--------------+
     |current_date()|
     +--------------+
@@ -6558,13 +6706,35 @@ def dateadd(start: "ColumnOrName", days: Union["ColumnOrName", int]) -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([('2015-04-08', 2,)], ['dt', 'add'])
-    >>> df.select(dateadd(df.dt, 1).alias('next_date')).collect()
-    [Row(next_date=datetime.date(2015, 4, 9))]
-    >>> df.select(dateadd(df.dt, df.add.cast('integer')).alias('next_date')).collect()
-    [Row(next_date=datetime.date(2015, 4, 10))]
-    >>> df.select(dateadd('dt', -1).alias('prev_date')).collect()
-    [Row(prev_date=datetime.date(2015, 4, 7))]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [('2015-04-08', 2,)], ['dt', 'add']
+    ... ).select(sf.dateadd("dt", 1)).show()
+    +---------------+
+    |date_add(dt, 1)|
+    +---------------+
+    |     2015-04-09|
+    +---------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [('2015-04-08', 2,)], ['dt', 'add']
+    ... ).select(sf.dateadd("dt", sf.lit(2))).show()
+    +---------------+
+    |date_add(dt, 2)|
+    +---------------+
+    |     2015-04-10|
+    +---------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [('2015-04-08', 2,)], ['dt', 'add']
+    ... ).select(sf.dateadd("dt", -1)).show()
+    +----------------+
+    |date_add(dt, -1)|
+    +----------------+
+    |      2015-04-07|
+    +----------------+
     """
     days = lit(days) if isinstance(days, int) else days
     return _invoke_function_over_columns("dateadd", start, days)
@@ -7031,9 +7201,15 @@ def xpath_number(xml: "ColumnOrName", path: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([('<a><b>1</b><b>2</b></a>',)], ['x'])
-    >>> df.select(xpath_number(df.x, lit('sum(a/b)')).alias('r')).collect()
-    [Row(r=3.0)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [('<a><b>1</b><b>2</b></a>',)], ['x']
+    ... ).select(sf.xpath_number('x', sf.lit('sum(a/b)'))).show()
+    +-------------------------+
+    |xpath_number(x, sum(a/b))|
+    +-------------------------+
+    |                      3.0|
+    +-------------------------+
     """
     return _invoke_function_over_columns("xpath_number", xml, path)
 
@@ -7926,7 +8102,8 @@ def current_schema() -> Column:
 
     Examples
     --------
-    >>> spark.range(1).select(current_schema()).show()
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.current_schema()).show()
     +------------------+
     |current_database()|
     +------------------+
@@ -7962,7 +8139,8 @@ def user() -> Column:
 
     Examples
     --------
-    >>> spark.range(1).select(user()).show() # doctest: +SKIP
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.user()).show() # doctest: +SKIP
     +--------------+
     |current_user()|
     +--------------+
@@ -9228,13 +9406,35 @@ def regexp(str: "ColumnOrName", regexp: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("1a 2b 14m", r"(\d+)")], ["str", "regexp"])
-    >>> df.select(regexp('str', lit(r'(\d+)')).alias('d')).collect()
-    [Row(d=True)]
-    >>> df.select(regexp('str', lit(r'\d{2}b')).alias('d')).collect()
-    [Row(d=False)]
-    >>> df.select(regexp("str", col("regexp")).alias('d')).collect()
-    [Row(d=True)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp('str', sf.lit(r'(\d+)'))).show()
+    +------------------+
+    |REGEXP(str, (\d+))|
+    +------------------+
+    |              true|
+    +------------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp('str', sf.lit(r'\d{2}b'))).show()
+    +-------------------+
+    |REGEXP(str, \d{2}b)|
+    +-------------------+
+    |              false|
+    +-------------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp('str', sf.col("regexp"))).show()
+    +-------------------+
+    |REGEXP(str, regexp)|
+    +-------------------+
+    |               true|
+    +-------------------+
     """
     return _invoke_function_over_columns("regexp", str, regexp)
 
@@ -9259,13 +9459,35 @@ def regexp_like(str: "ColumnOrName", regexp: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("1a 2b 14m", r"(\d+)")], ["str", "regexp"])
-    >>> df.select(regexp_like('str', lit(r'(\d+)')).alias('d')).collect()
-    [Row(d=True)]
-    >>> df.select(regexp_like('str', lit(r'\d{2}b')).alias('d')).collect()
-    [Row(d=False)]
-    >>> df.select(regexp_like("str", col("regexp")).alias('d')).collect()
-    [Row(d=True)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp_like('str', sf.lit(r'(\d+)'))).show()
+    +-----------------------+
+    |REGEXP_LIKE(str, (\d+))|
+    +-----------------------+
+    |                   true|
+    +-----------------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp_like('str', sf.lit(r'\d{2}b'))).show()
+    +------------------------+
+    |REGEXP_LIKE(str, \d{2}b)|
+    +------------------------+
+    |                   false|
+    +------------------------+
+
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("1a 2b 14m", r"(\d+)")], ["str", "regexp"]
+    ... ).select(sf.regexp_like('str', sf.col("regexp"))).show()
+    +------------------------+
+    |REGEXP_LIKE(str, regexp)|
+    +------------------------+
+    |                    true|
+    +------------------------+
     """
     return _invoke_function_over_columns("regexp_like", str, regexp)
 
@@ -10006,12 +10228,25 @@ def substr(
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("Spark SQL", 5, 1,)], ["a", "b", "c"])
-    >>> df.select(substr(df.a, df.b, df.c).alias('r')).collect()
-    [Row(r='k')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("Spark SQL", 5, 1,)], ["a", "b", "c"]
+    ... ).select(sf.substr("a", "b", "c")).show()
+    +---------------+
+    |substr(a, b, c)|
+    +---------------+
+    |              k|
+    +---------------+
 
-    >>> df.select(substr(df.a, df.b).alias('r')).collect()
-    [Row(r='k SQL')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("Spark SQL", 5, 1,)], ["a", "b", "c"]
+    ... ).select(sf.substr("a", "b")).show()
+    +------------------------+
+    |substr(a, b, 2147483647)|
+    +------------------------+
+    |                   k SQL|
+    +------------------------+
     """
     if len is not None:
         return _invoke_function_over_columns("substr", str, pos, len)
@@ -10071,9 +10306,15 @@ def printf(format: "ColumnOrName", *cols: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("aa%d%s", 123, "cc",)], ["a", "b", "c"])
-    >>> df.select(printf(df.a, df.b, df.c).alias('r')).collect()
-    [Row(r='aa123cc')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("aa%d%s", 123, "cc",)], ["a", "b", "c"]
+    ... ).select(sf.printf("a", "b", "c")).show()
+    +---------------+
+    |printf(a, b, c)|
+    +---------------+
+    |        aa123cc|
+    +---------------+
     """
     sc = get_active_spark_context()
     return _invoke_function("printf", _to_java_column(format), _to_seq(sc, cols, _to_java_column))
@@ -10144,12 +10385,24 @@ def position(
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("bar", "foobarbar", 5,)], ["a", "b", "c"])
-    >>> df.select(position(df.a, df.b, df.c).alias('r')).collect()
-    [Row(r=7)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [("bar", "foobarbar", 5,)], ["a", "b", "c"]
+    ... ).select(sf.position("a", "b", "c")).show()
+    +-----------------+
+    |position(a, b, c)|
+    +-----------------+
+    |                7|
+    +-----------------+
 
-    >>> df.select(position(df.a, df.b).alias('r')).collect()
-    [Row(r=4)]
+    >>> spark.createDataFrame(
+    ...     [("bar", "foobarbar", 5,)], ["a", "b", "c"]
+    ... ).select(sf.position("a", "b")).show()
+    +-----------------+
+    |position(a, b, 1)|
+    +-----------------+
+    |                4|
+    +-----------------+
     """
     if start is not None:
         return _invoke_function_over_columns("position", substr, str, start)
@@ -10248,9 +10501,13 @@ def char(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([(65,)], ['a'])
-    >>> df.select(char(df.a).alias('r')).collect()
-    [Row(r='A')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.char(sf.lit(65))).show()
+    +--------+
+    |char(65)|
+    +--------+
+    |       A|
+    +--------+
     """
     return _invoke_function_over_columns("char", col)
 
@@ -10301,9 +10558,13 @@ def char_length(str: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("SparkSQL",)], ['a'])
-    >>> df.select(char_length(df.a).alias('r')).collect()
-    [Row(r=8)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.char_length(sf.lit("SparkSQL"))).show()
+    +---------------------+
+    |char_length(SparkSQL)|
+    +---------------------+
+    |                    8|
+    +---------------------+
     """
     return _invoke_function_over_columns("char_length", str)
 
@@ -10324,9 +10585,13 @@ def character_length(str: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("SparkSQL",)], ['a'])
-    >>> df.select(character_length(df.a).alias('r')).collect()
-    [Row(r=8)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.character_length(sf.lit("SparkSQL"))).show()
+    +--------------------------+
+    |character_length(SparkSQL)|
+    +--------------------------+
+    |                         8|
+    +--------------------------+
     """
     return _invoke_function_over_columns("character_length", str)
 
@@ -10589,9 +10854,13 @@ def lcase(str: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("Spark",)], ['a'])
-    >>> df.select(lcase(df.a).alias('r')).collect()
-    [Row(r='spark')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.lcase(sf.lit("Spark"))).show()
+    +------------+
+    |lcase(Spark)|
+    +------------+
+    |       spark|
+    +------------+
     """
     return _invoke_function_over_columns("lcase", str)
 
@@ -10610,9 +10879,13 @@ def ucase(str: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("Spark",)], ['a'])
-    >>> df.select(ucase(df.a).alias('r')).collect()
-    [Row(r='SPARK')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.ucase(sf.lit("Spark"))).show()
+    +------------+
+    |ucase(Spark)|
+    +------------+
+    |       SPARK|
+    +------------+
     """
     return _invoke_function_over_columns("ucase", str)
 
@@ -12318,9 +12591,17 @@ def cardinality(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([([1, 2, 3],),([1],),([],)], ['data'])
-    >>> df.select(cardinality(df.data).alias('r')).collect()
-    [Row(r=3), Row(r=1), Row(r=0)]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.createDataFrame(
+    ...     [([1, 2, 3],),([1],),([],)], ['data']
+    ... ).select(sf.cardinality("data")).show()
+    +-----------------+
+    |cardinality(data)|
+    +-----------------+
+    |                3|
+    |                1|
+    |                0|
+    +-----------------+
     """
     return _invoke_function_over_columns("cardinality", col)
 
@@ -14177,26 +14458,27 @@ def make_timestamp_ltz(
 
     Examples
     --------
+    >>> import pyspark.sql.functions as sf
     >>> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
     >>> df = spark.createDataFrame([[2014, 12, 28, 6, 30, 45.887, 'CET']],
     ...     ["year", "month", "day", "hour", "min", "sec", "timezone"])
-    >>> df.select(make_timestamp_ltz(
-    ...     df.year, df.month, df.day, df.hour, df.min, df.sec, df.timezone).alias('r')
+    >>> df.select(sf.make_timestamp_ltz(
+    ...     df.year, df.month, df.day, df.hour, df.min, df.sec, df.timezone)
     ... ).show(truncate=False)
-    +-----------------------+
-    |r                      |
-    +-----------------------+
-    |2014-12-27 21:30:45.887|
-    +-----------------------+
-
-    >>> df.select(make_timestamp_ltz(
-    ...     df.year, df.month, df.day, df.hour, df.min, df.sec).alias('r')
+    +--------------------------------------------------------------+
+    |make_timestamp_ltz(year, month, day, hour, min, sec, timezone)|
+    +--------------------------------------------------------------+
+    |2014-12-27 21:30:45.887                                       |
+    +--------------------------------------------------------------+
+
+    >>> df.select(sf.make_timestamp_ltz(
+    ...     df.year, df.month, df.day, df.hour, df.min, df.sec)
     ... ).show(truncate=False)
-    +-----------------------+
-    |r                      |
-    +-----------------------+
-    |2014-12-28 06:30:45.887|
-    +-----------------------+
+    +----------------------------------------------------+
+    |make_timestamp_ltz(year, month, day, hour, min, sec)|
+    +----------------------------------------------------+
+    |2014-12-28 06:30:45.887                             |
+    +----------------------------------------------------+
     >>> spark.conf.unset("spark.sql.session.timeZone")
     """
     if timezone is not None:
@@ -14245,17 +14527,18 @@ def make_timestamp_ntz(
 
     Examples
     --------
+    >>> import pyspark.sql.functions as sf
     >>> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
     >>> df = spark.createDataFrame([[2014, 12, 28, 6, 30, 45.887]],
     ...     ["year", "month", "day", "hour", "min", "sec"])
-    >>> df.select(make_timestamp_ntz(
-    ...     df.year, df.month, df.day, df.hour, df.min, df.sec).alias('r')
+    >>> df.select(sf.make_timestamp_ntz(
+    ...     df.year, df.month, df.day, df.hour, df.min, df.sec)
     ... ).show(truncate=False)
-    +-----------------------+
-    |r                      |
-    +-----------------------+
-    |2014-12-28 06:30:45.887|
-    +-----------------------+
+    +----------------------------------------------------+
+    |make_timestamp_ntz(year, month, day, hour, min, sec)|
+    +----------------------------------------------------+
+    |2014-12-28 06:30:45.887                             |
+    +----------------------------------------------------+
     >>> spark.conf.unset("spark.sql.session.timeZone")
     """
     return _invoke_function_over_columns(
@@ -14689,9 +14972,15 @@ def ifnull(col1: "ColumnOrName", col2: "ColumnOrName") -> Column:
 
     Examples
     --------
+    >>> import pyspark.sql.functions as sf
     >>> df = spark.createDataFrame([(None,), (1,)], ["e"])
-    >>> df.select(ifnull(df.e, lit(8)).alias('r')).collect()
-    [Row(r=8), Row(r=1)]
+    >>> df.select(sf.ifnull(df.e, sf.lit(8))).show()
+    +------------+
+    |ifnull(e, 8)|
+    +------------+
+    |           8|
+    |           1|
+    +------------+
     """
     return _invoke_function_over_columns("ifnull", col1, col2)
 
@@ -15057,9 +15346,13 @@ def sha(col: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("Spark",)], ["a"])
-    >>> df.select(sha(df.a).alias('r')).collect()
-    [Row(r='85f5955f4b27a9a4c2aab6ffe5d7189fc298b92c')]
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(sf.sha(sf.lit("Spark"))).show()
+    +--------------------+
+    |          sha(Spark)|
+    +--------------------+
+    |85f5955f4b27a9a4c...|
+    +--------------------+
     """
     return _invoke_function_over_columns("sha", col)
 
@@ -15137,12 +15430,19 @@ def java_method(*cols: "ColumnOrName") -> Column:
 
     Examples
     --------
-    >>> df = spark.createDataFrame([("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2",)], ["a"])
-    >>> df.select(
-    ...     java_method(lit("java.util.UUID"), lit("fromString"), df.a).alias('r')
-    ... ).collect()
-    [Row(r='a5cf6c42-0c85-418f-af6c-3e4e5b1328f2')]
-
+    >>> import pyspark.sql.functions as sf
+    >>> spark.range(1).select(
+    ...     sf.java_method(
+    ...         sf.lit("java.util.UUID"),
+    ...         sf.lit("fromString"),
+    ...         sf.lit("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2")
+    ...     )
+    ... ).show(truncate=False)
+    +-----------------------------------------------------------------------------+
+    |java_method(java.util.UUID, fromString, a5cf6c42-0c85-418f-af6c-3e4e5b1328f2)|
+    +-----------------------------------------------------------------------------+
+    |a5cf6c42-0c85-418f-af6c-3e4e5b1328f2                                         |
+    +-----------------------------------------------------------------------------+
     """
     return _invoke_function_over_seq_of_columns("java_method", cols)
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index 0aaebd44a9e08..5653591d45e52 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -575,7 +575,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def first_value(e: Column): Column = first(e)
+  def first_value(e: Column): Column = call_function("first_value", e)
 
   /**
    * Aggregate function: returns the first value in a group.
@@ -589,9 +589,8 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def first_value(e: Column, ignoreNulls: Column): Column = withAggregateFunction {
-    new First(e.expr, ignoreNulls.expr)
-  }
+  def first_value(e: Column, ignoreNulls: Column): Column =
+    call_function("first_value", e, ignoreNulls)
 
   /**
    * Aggregate function: indicates whether a specified column in a GROUP BY list is aggregated
@@ -848,7 +847,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def last_value(e: Column): Column = last(e)
+  def last_value(e: Column): Column = call_function("last_value", e)
 
   /**
    * Aggregate function: returns the last value in a group.
@@ -862,9 +861,8 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def last_value(e: Column, ignoreNulls: Column): Column = withAggregateFunction {
-    new Last(e.expr, ignoreNulls.expr)
-  }
+  def last_value(e: Column, ignoreNulls: Column): Column =
+    call_function("last_value", e, ignoreNulls)
 
   /**
    * Aggregate function: returns the most frequent value in a group.
@@ -1017,9 +1015,8 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def approx_percentile(e: Column, percentage: Column, accuracy: Column): Column = {
-    percentile_approx(e, percentage, accuracy)
-  }
+  def approx_percentile(e: Column, percentage: Column, accuracy: Column): Column =
+    call_function("approx_percentile", e, percentage, accuracy)
 
   /**
    * Aggregate function: returns the product of all numerical elements in a group.
@@ -1052,7 +1049,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def std(e: Column): Column = stddev(e)
+  def std(e: Column): Column = call_function("std", e)
 
   /**
    * Aggregate function: alias for `stddev_samp`.
@@ -1060,7 +1057,7 @@ object functions {
    * @group agg_funcs
    * @since 1.6.0
    */
-  def stddev(e: Column): Column = withAggregateFunction { StddevSamp(e.expr) }
+  def stddev(e: Column): Column = call_function("stddev", e)
 
   /**
    * Aggregate function: alias for `stddev_samp`.
@@ -1330,7 +1327,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def every(e: Column): Column = withAggregateFunction { BoolAnd(e.expr) }
+  def every(e: Column): Column = call_function("every", e)
 
   /**
    * Aggregate function: returns true if all values of `e` are true.
@@ -1346,7 +1343,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def some(e: Column): Column = withAggregateFunction { BoolOr(e.expr) }
+  def some(e: Column): Column = call_function("some", e)
 
   /**
    * Aggregate function: returns true if at least one value of `e` is true.
@@ -1354,7 +1351,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def any(e: Column): Column = withAggregateFunction { BoolOr(e.expr) }
+  def any(e: Column): Column = call_function("any", e)
 
   /**
    * Aggregate function: returns true if at least one value of `e` is true.
@@ -1944,9 +1941,8 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def try_avg(e: Column): Column = withAggregateFunction {
-    Average(e.expr, EvalMode.TRY)
-  }
+  def try_avg(e: Column): Column =
+    call_function("try_avg", e)
 
   /**
    * Returns `dividend``/``divisor`. It always performs floating point division. Its result is
@@ -1984,9 +1980,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def try_sum(e: Column): Column = withAggregateFunction {
-    Sum(e.expr, EvalMode.TRY)
-  }
+  def try_sum(e: Column): Column = call_function("try_sum", e)
 
   /**
    * Creates a new struct column.
@@ -2081,7 +2075,7 @@ object functions {
    * @group bitwise_funcs
    * @since 3.5.0
    */
-  def getbit(e: Column, pos: Column): Column = bit_get(e, pos)
+  def getbit(e: Column, pos: Column): Column = call_function("getbit", e, pos)
 
   /**
    * Parses the expression string into the column that it represents, similar to
@@ -2385,7 +2379,8 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def ceiling(e: Column, scale: Column): Column = ceil(e, scale)
+  def ceiling(e: Column, scale: Column): Column =
+    call_function("ceiling", e, scale)
 
   /**
    * Computes the ceiling of the given value of `e` to 0 decimal places.
@@ -2393,7 +2388,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def ceiling(e: Column): Column = ceil(e)
+  def ceiling(e: Column): Column = call_function("ceiling", e)
 
   /**
    * Convert a number in a string column from one base to another.
@@ -2751,7 +2746,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def negative(e: Column): Column = withExpr { UnaryMinus(e.expr) }
+  def negative(e: Column): Column = call_function("negative", e)
 
   /**
    * Returns Pi.
@@ -2979,7 +2974,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def sign(e: Column): Column = signum(e)
+  def sign(e: Column): Column = call_function("sign", e)
 
   /**
    * Computes the signum of the given value.
@@ -3184,7 +3179,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def current_schema(): Column = withExpr { CurrentDatabase() }
+  def current_schema(): Column = call_function("current_schema")
 
   /**
    * Returns the user name of current execution context.
@@ -3368,7 +3363,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def user(): Column = withExpr { CurrentUser() }
+  def user(): Column = call_function("user")
 
   /**
    * Returns an universally unique identifier (UUID) string. The value is returned as a canonical
@@ -3638,9 +3633,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def sha(col: Column): Column = withExpr {
-    Sha1(col.expr)
-  }
+  def sha(col: Column): Column = call_function("sha", col)
 
   /**
    * Returns the length of the block being read, or -1 if not available.
@@ -3678,9 +3671,8 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def java_method(cols: Column*): Column = withExpr {
-    CallMethodViaReflection(cols.map(_.expr))
-  }
+  def java_method(cols: Column*): Column =
+    call_function("java_method", cols: _*)
 
   /**
    * Returns the Spark version. The string contains 2 fields, the first being a release version
@@ -3721,9 +3713,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def random(seed: Column): Column = withExpr {
-    Rand(seed.expr)
-  }
+  def random(seed: Column): Column = call_function("random", seed)
 
   /**
    * Returns a random value with independent and identically distributed (i.i.d.) uniformly
@@ -3732,9 +3722,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
-  def random(): Column = withExpr {
-    new Rand()
-  }
+  def random(): Column = call_function("random")
 
   /**
    * Returns the bucket number for the given input column.
@@ -4040,7 +4028,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def regexp(str: Column, regexp: Column): Column = rlike(str, regexp)
+  def regexp(str: Column, regexp: Column): Column =
+    call_function("regexp", str, regexp)
 
   /**
    * Returns true if `str` matches `regexp`, or false otherwise.
@@ -4048,7 +4037,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def regexp_like(str: Column, regexp: Column): Column = rlike(str, regexp)
+  def regexp_like(str: Column, regexp: Column): Column =
+    call_function("regexp_like", str, regexp)
 
   /**
    * Returns a count of the number of times that the regular expression pattern `regexp`
@@ -4518,9 +4508,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def substr(str: Column, pos: Column, len: Column): Column = withExpr {
-    Substring(str.expr, pos.expr, len.expr)
-  }
+  def substr(str: Column, pos: Column, len: Column): Column =
+    call_function("substr", str, pos, len)
 
   /**
    * Returns the substring of `str` that starts at `pos`,
@@ -4529,9 +4518,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def substr(str: Column, pos: Column): Column = withExpr {
-    new Substring(str.expr, pos.expr)
-  }
+  def substr(str: Column, pos: Column): Column =
+    call_function("substr", str, pos)
 
   /**
    * Extracts a part from a URL.
@@ -4559,9 +4547,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def printf(format: Column, arguments: Column*): Column = withExpr {
-    FormatString((lit(format) +: arguments).map(_.expr): _*)
-  }
+  def printf(format: Column, arguments: Column*): Column =
+    call_function("printf", (format +: arguments): _*)
 
   /**
    * Decodes a `str` in 'application/x-www-form-urlencoded' format
@@ -4592,9 +4579,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def position(substr: Column, str: Column, start: Column): Column = withExpr {
-    StringLocate(substr.expr, str.expr, start.expr)
-  }
+  def position(substr: Column, str: Column, start: Column): Column =
+    call_function("position", substr, str, start)
 
   /**
    * Returns the position of the first occurrence of `substr` in `str` after position `1`.
@@ -4603,9 +4589,8 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def position(substr: Column, str: Column): Column = withExpr {
-    new StringLocate(substr.expr, str.expr)
-  }
+  def position(substr: Column, str: Column): Column =
+    call_function("position", substr, str)
 
   /**
    * Returns a boolean. The value is True if str ends with suffix.
@@ -4634,9 +4619,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def char(n: Column): Column = withExpr {
-    Chr(n.expr)
-  }
+  def char(n: Column): Column = call_function("char", n)
 
   /**
    * Removes the leading and trailing space characters from `str`.
@@ -4700,9 +4683,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def char_length(str: Column): Column = withExpr {
-    Length(str.expr)
-  }
+  def char_length(str: Column): Column = call_function("char_length", str)
 
   /**
    * Returns the character length of string data or number of bytes of binary data.
@@ -4712,9 +4693,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def character_length(str: Column): Column = withExpr {
-    Length(str.expr)
-  }
+  def character_length(str: Column): Column = call_function("character_length", str)
 
   /**
    * Returns the ASCII character having the binary equivalent to `n`.
@@ -4823,9 +4802,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def lcase(str: Column): Column = withExpr {
-    Lower(str.expr)
-  }
+  def lcase(str: Column): Column = call_function("lcase", str)
 
   /**
    * Returns `str` with all characters changed to uppercase.
@@ -4833,9 +4810,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
-  def ucase(str: Column): Column = withExpr {
-    Upper(str.expr)
-  }
+  def ucase(str: Column): Column = call_function("ucase", str)
 
   /**
    * Returns the leftmost `len`(`len` can be string type) characters from the string `str`,
@@ -4897,7 +4872,7 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def curdate(): Column = withExpr { CurrentDate() }
+  def curdate(): Column = call_function("curdate")
 
   /**
    * Returns the current date at the start of query evaluation as a date column.
@@ -4999,7 +4974,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def dateadd(start: Column, days: Column): Column = date_add(start, days)
+  def dateadd(start: Column, days: Column): Column =
+    call_function("dateadd", start, days)
 
   /**
    * Returns the date that is `days` days before `start`
@@ -5064,7 +5040,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def date_diff(end: Column, start: Column): Column = datediff(end, start)
+  def date_diff(end: Column, start: Column): Column =
+    call_function("date_diff", end, start)
 
   /**
    * Create date from the number of `days` since 1970-01-01.
@@ -5121,7 +5098,7 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def day(e: Column): Column = dayofmonth(e)
+  def day(e: Column): Column = call_function("day", e)
 
   /**
    * Extracts the day of the year as an integer from a given date/timestamp/string.
@@ -5160,7 +5137,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def date_part(field: Column, source: Column): Column = call_function("date_part", field, source)
+  def date_part(field: Column, source: Column): Column =
+    call_function("date_part", field, source)
 
   /**
    * Extracts a part of the date/timestamp or interval source.
@@ -5172,7 +5150,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def datepart(field: Column, source: Column): Column = call_function("datepart", field, source)
+  def datepart(field: Column, source: Column): Column =
+    call_function("datepart", field, source)
 
   /**
    * Returns the last day of the month which the given date belongs to.
@@ -5425,9 +5404,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def try_to_timestamp(s: Column, format: Column): Column = withExpr {
-    new ParseToTimestamp(s.expr, format.expr)
-  }
+  def try_to_timestamp(s: Column, format: Column): Column =
+    call_function("try_to_timestamp", s, format)
 
   /**
    * Parses the `s` to a timestamp. The function always returns null on an invalid
@@ -5437,9 +5415,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def try_to_timestamp(s: Column): Column = withExpr {
-    new ParseToTimestamp(s.expr)
-  }
+  def try_to_timestamp(s: Column): Column =
+    call_function("try_to_timestamp", s)
 
   /**
    * Converts the column into `DateType` by casting rules to `DateType`.
@@ -5876,9 +5853,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def to_timestamp_ltz(timestamp: Column, format: Column): Column = withExpr {
-    ParseToTimestamp(timestamp.expr, Some(format.expr), TimestampType)
-  }
+  def to_timestamp_ltz(timestamp: Column, format: Column): Column =
+    call_function("to_timestamp_ltz", timestamp, format)
 
   /**
    * Parses the `timestamp` expression with the default format to a timestamp without time zone.
@@ -5887,9 +5863,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def to_timestamp_ltz(timestamp: Column): Column = withExpr {
-    ParseToTimestamp(timestamp.expr, None, TimestampType)
-  }
+  def to_timestamp_ltz(timestamp: Column): Column =
+    call_function("to_timestamp_ltz", timestamp)
 
   /**
    * Parses the `timestamp_str` expression with the `format` expression
@@ -5898,9 +5873,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def to_timestamp_ntz(timestamp: Column, format: Column): Column = withExpr {
-    ParseToTimestamp(timestamp.expr, Some(format.expr), TimestampNTZType)
-  }
+  def to_timestamp_ntz(timestamp: Column, format: Column): Column =
+    call_function("to_timestamp_ntz", timestamp, format)
 
   /**
    * Parses the `timestamp` expression with the default format to a timestamp without time zone.
@@ -5909,9 +5883,8 @@ object functions {
    * @group datetime_funcs
    * @since 3.5.0
    */
-  def to_timestamp_ntz(timestamp: Column): Column = withExpr {
-    ParseToTimestamp(timestamp.expr, None, TimestampNTZType)
-  }
+  def to_timestamp_ntz(timestamp: Column): Column =
+    call_function("to_timestamp_ntz", timestamp)
 
   /**
    * Returns the UNIX timestamp of the given time.
@@ -7016,7 +6989,7 @@ object functions {
    * @group collection_funcs
    * @since 3.5.0
    */
-  def cardinality(e: Column): Column = size(e)
+  def cardinality(e: Column): Column = call_function("cardinality", e)
 
   /**
    * Sorts the input array for the given column in ascending order,
@@ -7074,7 +7047,7 @@ object functions {
    * @group agg_funcs
    * @since 3.5.0
    */
-  def array_agg(e: Column): Column = collect_list(e)
+  def array_agg(e: Column): Column = call_function("array_agg", e)
 
   /**
    * Returns a random permutation of the given array.
@@ -7376,9 +7349,8 @@ object functions {
    * @group "xml_funcs"
    * @since 3.5.0
    */
-  def xpath_number(x: Column, p: Column): Column = withExpr {
-    XPathDouble(x.expr, p.expr)
-  }
+  def xpath_number(x: Column, p: Column): Column =
+    call_function("xpath_number", x, p)
 
   /**
    * Returns a float value, the value zero if no match is found,
@@ -7677,10 +7649,9 @@ object functions {
       hours: Column,
       mins: Column,
       secs: Column,
-      timezone: Column): Column = withExpr {
-    MakeTimestamp(years.expr, months.expr, days.expr, hours.expr,
-      mins.expr, secs.expr, Some(timezone.expr), dataType = TimestampType)
-  }
+      timezone: Column): Column =
+    call_function("make_timestamp_ltz",
+      years, months, days, hours, mins, secs, timezone)
 
   /**
    * Create the current timestamp with local time zone from years, months, days, hours, mins and
@@ -7696,10 +7667,9 @@ object functions {
       days: Column,
       hours: Column,
       mins: Column,
-      secs: Column): Column = withExpr {
-    MakeTimestamp(years.expr, months.expr, days.expr, hours.expr,
-      mins.expr, secs.expr, dataType = TimestampType)
-  }
+      secs: Column): Column =
+    call_function("make_timestamp_ltz",
+      years, months, days, hours, mins, secs)
 
   /**
    * Create local date-time from years, months, days, hours, mins, secs fields. If the
@@ -7715,10 +7685,9 @@ object functions {
       days: Column,
       hours: Column,
       mins: Column,
-      secs: Column): Column = withExpr {
-    MakeTimestamp(years.expr, months.expr, days.expr, hours.expr,
-      mins.expr, secs.expr, dataType = TimestampNTZType)
-  }
+      secs: Column): Column =
+    call_function("make_timestamp_ntz",
+      years, months, days, hours, mins, secs)
 
   /**
    * Make year-month interval from years, months.
@@ -7785,9 +7754,8 @@ object functions {
    * @group predicates_funcs
    * @since 3.5.0
    */
-  def ifnull(col1: Column, col2: Column): Column = withExpr {
-    new Nvl(col1.expr, col2.expr)
-  }
+  def ifnull(col1: Column, col2: Column): Column =
+    call_function("ifnull", col1, col2)
 
   /**
    * Returns true if `col` is not null, or false otherwise.

From 5c801fc11718293d76c39c9d79d943fec9103ae4 Mon Sep 17 00:00:00 2001
From: zml1206 <zhuml1206@gmail.com>
Date: Mon, 4 Sep 2023 20:23:39 +0800
Subject: [PATCH 352/986] [SPARK-44846][SQL] Convert the lower redundant
 Aggregate to Project in RemoveRedundantAggregates

### What changes were proposed in this pull request?
This PR provides a safe way to remove a redundant `Aggregate` in rule `RemoveRedundantAggregates`. Just convert the lower redundant `Aggregate` to `Project`.

### Why are the changes needed?
The aggregate contains complex grouping expressions after `RemoveRedundantAggregates`, if `aggregateExpressions` has (if / case) branches, it is possible that `groupingExpressions` is no longer a subexpression of `aggregateExpressions` after execute `PushFoldableIntoBranches` rule, Then cause `boundReference` error.
For example
```
SELECT c * 2 AS d
FROM (
         SELECT if(b > 1, 1, b) AS c
         FROM (
                  SELECT if(a < 0, 0, a) AS b
                  FROM VALUES (-1), (1), (2) AS t1(a)
              ) t2
         GROUP BY b
     ) t3
GROUP BY c
```
Before pr
```
== Optimized Logical Plan ==
Aggregate [if ((b#0 > 1)) 1 else b#0], [if ((b#0 > 1)) 2 else (b#0 * 2) AS d#2]
+- Project [if ((a#3 < 0)) 0 else a#3 AS b#0]
   +- LocalRelation [a#3]
```
```
== Error ==
Couldn't find b#0 in [if ((b#0 > 1)) 1 else b#0#7]
java.lang.IllegalStateException: Couldn't find b#0 in [if ((b#0 > 1)) 1 else b#0#7]
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:80)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:73)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:466)
	at org.apache.spark.sql.catalyst.trees.BinaryLike.mapChildren(TreeNode.scala:1241)
	at org.apache.spark.sql.catalyst.trees.BinaryLike.mapChildren$(TreeNode.scala:1240)
	at org.apache.spark.sql.catalyst.expressions.BinaryExpression.mapChildren(Expression.scala:653)
        ......
```
After pr
```
== Optimized Logical Plan ==
Aggregate [c#1], [(c#1 * 2) AS d#2]
+- Project [if ((b#0 > 1)) 1 else b#0 AS c#1]
   +- Project [if ((a#3 < 0)) 0 else a#3 AS b#0]
      +- LocalRelation [a#3]
```
### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
UT

Closes #42633 from zml1206/SPARK-44846-2.

Authored-by: zml1206 <zhuml1206@gmail.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit 32a87f03da7eef41161a5a7a3aba4a48e0421912)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 .../optimizer/RemoveRedundantAggregates.scala | 19 ++---------------
 .../RemoveRedundantAggregatesSuite.scala      | 21 +++++++++++--------
 .../analyzer-results/group-by.sql.out         | 21 +++++++++++++++++++
 .../resources/sql-tests/inputs/group-by.sql   | 13 ++++++++++++
 .../sql-tests/results/group-by.sql.out        | 18 ++++++++++++++++
 5 files changed, 66 insertions(+), 26 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregates.scala
index 93f3557a8c8f9..badf4065f5fb5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregates.scala
@@ -17,7 +17,6 @@
 
 package org.apache.spark.sql.catalyst.optimizer
 
-import org.apache.spark.sql.catalyst.analysis.PullOutNondeterministic
 import org.apache.spark.sql.catalyst.expressions.{AliasHelper, AttributeSet, ExpressionSet}
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan, Project}
@@ -32,22 +31,8 @@ object RemoveRedundantAggregates extends Rule[LogicalPlan] with AliasHelper {
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformUpWithPruning(
     _.containsPattern(AGGREGATE), ruleId) {
     case upper @ Aggregate(_, _, lower: Aggregate) if isLowerRedundant(upper, lower) =>
-      val aliasMap = getAliasMap(lower)
-
-      val newAggregate = upper.copy(
-        child = lower.child,
-        groupingExpressions = upper.groupingExpressions.map(replaceAlias(_, aliasMap)),
-        aggregateExpressions = upper.aggregateExpressions.map(
-          replaceAliasButKeepName(_, aliasMap))
-      )
-
-      // We might have introduces non-deterministic grouping expression
-      if (newAggregate.groupingExpressions.exists(!_.deterministic)) {
-        PullOutNondeterministic.applyLocally.applyOrElse(newAggregate, identity[LogicalPlan])
-      } else {
-        newAggregate
-      }
-
+      val projectList = lower.aggregateExpressions.filter(upper.references.contains(_))
+      upper.copy(child = Project(projectList, lower.child))
     case agg @ Aggregate(groupingExps, _, child)
         if agg.groupOnly && child.distinctKeys.exists(_.subsetOf(ExpressionSet(groupingExps))) =>
       Project(agg.aggregateExpressions, child)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregatesSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregatesSuite.scala
index 91201b6750128..2af3057c0b856 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregatesSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAggregatesSuite.scala
@@ -30,7 +30,8 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
 
   object Optimize extends RuleExecutor[LogicalPlan] {
     val batches = Batch("RemoveRedundantAggregates", FixedPoint(10),
-      RemoveRedundantAggregates) :: Nil
+      RemoveRedundantAggregates,
+      RemoveNoopOperators) :: Nil
   }
 
   private val relation = LocalRelation($"a".int, $"b".int)
@@ -52,6 +53,7 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy($"a")($"a")
         .analyze
       val expected = relation
+        .select($"a")
         .groupBy($"a")($"a")
         .analyze
       val optimized = Optimize.execute(query)
@@ -67,6 +69,7 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy($"a")($"a")
         .analyze
       val expected = relation
+        .select($"a")
         .groupBy($"a")($"a")
         .analyze
       val optimized = Optimize.execute(query)
@@ -80,6 +83,7 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
       .groupBy($"a")($"a")
       .analyze
     val expected = relation
+      .select($"a")
       .groupBy($"a")($"a")
       .analyze
     val optimized = Optimize.execute(query)
@@ -93,7 +97,8 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy($"c")($"c")
         .analyze
       val expected = relation
-        .groupBy($"a" + $"b")(($"a" + $"b") as "c")
+        .select(($"a" + $"b") as "c")
+        .groupBy($"c")($"c")
         .analyze
       val optimized = Optimize.execute(query)
       comparePlans(optimized, expected)
@@ -106,6 +111,7 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
       .groupBy($"a")($"a", rand(0) as "c")
       .analyze
     val expected = relation
+      .select($"a")
       .groupBy($"a")($"a", rand(0) as "c")
       .analyze
     val optimized = Optimize.execute(query)
@@ -118,7 +124,9 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
       .groupBy($"a", $"c")($"a", $"c")
       .analyze
     val expected = relation
-      .groupBy($"a", $"c")($"a", rand(0) as "c")
+      .select($"a", $"b", rand(0) as "_nondeterministic")
+      .select($"a", $"_nondeterministic" as "c")
+      .groupBy($"a", $"c")($"a", $"c")
       .analyze
     val optimized = Optimize.execute(query)
     comparePlans(optimized, expected)
@@ -151,7 +159,7 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
 
   test("Remove redundant aggregate - upper has contains foldable expressions") {
     val originalQuery = x.groupBy($"a", $"b")($"a", $"b").groupBy($"a")($"a", TrueLiteral).analyze
-    val correctAnswer = x.groupBy($"a")($"a", TrueLiteral).analyze
+    val correctAnswer = x.select($"a").groupBy($"a")($"a", TrueLiteral).analyze
     val optimized = Optimize.execute(originalQuery)
     comparePlans(optimized, correctAnswer)
   }
@@ -174,7 +182,6 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
       .analyze
     val expected = relation
       .groupBy($"a")($"a", ($"a" + rand(0)) as "c")
-      .select($"a", $"c")
       .analyze
     val optimized = Optimize.execute(query)
     comparePlans(optimized, expected)
@@ -187,7 +194,6 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy("x.a".attr, "x.b".attr)("x.a".attr, "x.b".attr)
       val correctAnswer = x.groupBy($"a", $"b")($"a", $"b")
         .join(y, joinType, Some("x.a".attr === "y.a".attr && "x.b".attr === "y.b".attr))
-        .select("x.a".attr, "x.b".attr)
 
       val optimized = Optimize.execute(originalQuery.analyze)
       comparePlans(optimized, correctAnswer.analyze)
@@ -201,7 +207,6 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy("x.a".attr, "d".attr)("x.a".attr, "d".attr)
       val correctAnswer = x.groupBy($"a", $"b")($"a", $"b".as("d"))
         .join(y, joinType, Some("x.a".attr === "y.a".attr && "d".attr === "y.b".attr))
-        .select("x.a".attr, "d".attr)
 
       val optimized = Optimize.execute(originalQuery.analyze)
       comparePlans(optimized, correctAnswer.analyze)
@@ -231,7 +236,6 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
         .groupBy("x.a".attr, "x.b".attr)("x.a".attr)
       val correctAnswer = x.groupBy($"a", $"b")($"a", $"b")
         .join(y, joinType, Some("x.a".attr === "y.a".attr && "x.b".attr === "y.b".attr))
-        .select("x.a".attr, "x.b".attr)
         .join(y, joinType, Some("x.a".attr === "y.a".attr && "x.b".attr === "y.b".attr))
         .select("x.a".attr)
 
@@ -247,7 +251,6 @@ class RemoveRedundantAggregatesSuite extends PlanTest {
       .analyze
     val correctAnswer = relation
       .groupBy($"a")($"a", count($"b").as("cnt"))
-      .select($"a", $"cnt")
       .analyze
     val optimized = Optimize.execute(originalQuery)
     comparePlans(optimized, correctAnswer)
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 67e1ddd32ea80..202ceee18046a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1175,3 +1175,24 @@ Sort [a#x ASC NULLS FIRST], true
             +- Project [a#x, b#x]
                +- SubqueryAlias testData
                   +- LocalRelation [a#x, b#x]
+
+
+-- !query
+SELECT c * 2 AS d
+FROM (
+         SELECT if(b > 1, 1, b) AS c
+         FROM (
+                  SELECT if(a < 0, 0, a) AS b
+                  FROM VALUES (-1), (1), (2) AS t1(a)
+              ) t2
+         GROUP BY b
+     ) t3
+GROUP BY c
+-- !query analysis
+Aggregate [c#x], [(c#x * 2) AS d#x]
++- SubqueryAlias t3
+   +- Aggregate [b#x], [if ((b#x > 1)) 1 else b#x AS c#x]
+      +- SubqueryAlias t2
+         +- Project [if ((a#x < 0)) 0 else a#x AS b#x]
+            +- SubqueryAlias t1
+               +- LocalRelation [a#x]
diff --git a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
index c812403ba2c3f..c35cdb0de2719 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
@@ -251,3 +251,16 @@ GROUP BY a;
 
 SELECT mode(a), mode(b) FROM testData;
 SELECT a, mode(b) FROM testData GROUP BY a ORDER BY a;
+
+
+-- SPARK-44846: PushFoldableIntoBranches in complex grouping expressions cause bindReference error
+SELECT c * 2 AS d
+FROM (
+         SELECT if(b > 1, 1, b) AS c
+         FROM (
+                  SELECT if(a < 0, 0, a) AS b
+                  FROM VALUES (-1), (1), (2) AS t1(a)
+              ) t2
+         GROUP BY b
+     ) t3
+GROUP BY c;
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index acdf8d5a8547f..db79646fe435a 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1103,3 +1103,21 @@ NULL	1
 1	1
 2	1
 3	1
+
+
+-- !query
+SELECT c * 2 AS d
+FROM (
+         SELECT if(b > 1, 1, b) AS c
+         FROM (
+                  SELECT if(a < 0, 0, a) AS b
+                  FROM VALUES (-1), (1), (2) AS t1(a)
+              ) t2
+         GROUP BY b
+     ) t3
+GROUP BY c
+-- !query schema
+struct<d:int>
+-- !query output
+0
+2

From 950b2f29105cd66355eef10503a93d678087c79e Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Mon, 4 Sep 2023 09:01:50 -0500
Subject: [PATCH 353/986] [SPARK-45042][BUILD][3.5] Upgrade jetty to
 9.4.52.v20230823

### What changes were proposed in this pull request?
The pr aims to Upgrade jetty from 9.4.51.v20230217 to 9.4.52.v20230823. (Backport to Spark 3.5.0)

### Why are the changes needed?
- This is a release of the https://github.com/eclipse/jetty.project/issues/7958 that was sponsored by a [support contract from Webtide.com](mailto:saleswebtide.com)

- The newest version fix a possible security issue:
   This release provides a workaround for Security Advisory https://github.com/advisories/GHSA-58qw-p7qm-5rvh

- The release note as follows:
   https://github.com/eclipse/jetty.project/releases/tag/jetty-9.4.52.v20230823

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42795 from panbingkun/branch-3.5_SPARK-45042.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 4 ++--
 pom.xml                               | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index b6aba589d5f0b..1d02f8dba567e 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -130,8 +130,8 @@ jersey-container-servlet/2.40//jersey-container-servlet-2.40.jar
 jersey-hk2/2.40//jersey-hk2-2.40.jar
 jersey-server/2.40//jersey-server-2.40.jar
 jettison/1.1//jettison-1.1.jar
-jetty-util-ajax/9.4.51.v20230217//jetty-util-ajax-9.4.51.v20230217.jar
-jetty-util/9.4.51.v20230217//jetty-util-9.4.51.v20230217.jar
+jetty-util-ajax/9.4.52.v20230823//jetty-util-ajax-9.4.52.v20230823.jar
+jetty-util/9.4.52.v20230823//jetty-util-9.4.52.v20230823.jar
 jline/2.14.6//jline-2.14.6.jar
 joda-time/2.12.5//joda-time-2.12.5.jar
 jodd-core/3.5.2//jodd-core-3.5.2.jar
diff --git a/pom.xml b/pom.xml
index 154ca4005f6c5..8fc4b89a78cc2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -143,7 +143,7 @@
     <parquet.version>1.13.1</parquet.version>
     <orc.version>1.9.1</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
-    <jetty.version>9.4.51.v20230217</jetty.version>
+    <jetty.version>9.4.52.v20230823</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>
     <chill.version>0.10.0</chill.version>
     <!--

From 0dea7db3660b9db7bbe075c31712e7119bfd1af7 Mon Sep 17 00:00:00 2001
From: Ivan Sadikov <ivan.sadikov@databricks.com>
Date: Mon, 4 Sep 2023 14:37:32 -0700
Subject: [PATCH 354/986] [SPARK-44940][SQL][3.5] Improve performance of JSON
 parsing when "spark.sql.json.enablePartialResults" is enabled

### What changes were proposed in this pull request?

Backport of https://github.com/apache/spark/pull/42667 to branch-3.5.

The PR improves JSON parsing when `spark.sql.json.enablePartialResults` is enabled:
- Fixes the issue when using nested arrays `ClassCastException: org.apache.spark.sql.catalyst.util.GenericArrayData cannot be cast to org.apache.spark.sql.catalyst.InternalRow`
- Improves parsing of the nested struct fields, e.g. `{"a1": "AAA", "a2": [{"f1": "", "f2": ""}], "a3": "id1", "a4": "XXX"}` used to be parsed as `|AAA|NULL    |NULL|NULL|` and now is parsed as `|AAA|[{NULL, }]|id1|XXX|`.
- Improves performance of nested JSON parsing. The initial implementation would throw too many exceptions when multiple nested fields failed to parse. When the config is disabled, it is not a problem because the entire record is marked as NULL.

The internal benchmarks show the performance improvement from slowdown of over 160% to an improvement of 7-8% compared to the master branch when the flag is enabled. I will create a follow-up ticket to add a benchmark for this regression.

### Why are the changes needed?

Fixes some corner cases in JSON parsing and improves performance when `spark.sql.json.enablePartialResults` is enabled.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

I added tests to verify nested structs, maps, and arrays can be parsed without affecting the subsequent fields in the JSON. I also updated the existing tests when `spark.sql.json.enablePartialResults` is enabled because we parse more data now.

I added a benchmark to check performance.

Before the change (master, https://github.com/apache/spark/commit/a45a3a3d60cb97b107a177ad16bfe36372bc3e9b):
```
[info] OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
[info] Intel(R) Xeon(R) Platinum 8375C CPU  2.90GHz
[info] Partial JSON results:                     Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
[info] ------------------------------------------------------------------------------------------------------------------------
[info] parse invalid JSON                                 9537           9820         452          0.0      953651.6       1.0X
```

After the change (this PR):
```
OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
Intel(R) Xeon(R) Platinum 8375C CPU  2.90GHz
Partial JSON results:                     Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
------------------------------------------------------------------------------------------------------------------------
parse invalid JSON                                 3100           3106           6          0.0      309967.6       1.0X
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42790 from sadikovi/SPARK-44940-3.5.

Authored-by: Ivan Sadikov <ivan.sadikov@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/json/JacksonParser.scala     |  41 ++++-
 .../catalyst/util/BadRecordException.scala    |  64 ++++++-
 .../sql/errors/QueryExecutionErrors.scala     |  12 +-
 sql/core/benchmarks/JsonBenchmark-results.txt | 152 ++++++++--------
 .../apache/spark/sql/JsonFunctionsSuite.scala |  20 ++-
 .../datasources/json/JsonBenchmark.scala      |  28 +++
 .../datasources/json/JsonSuite.scala          | 170 +++++++++++++++++-
 7 files changed, 393 insertions(+), 94 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
index 388edb9024ca1..f14f70532e659 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
@@ -420,17 +420,17 @@ class JacksonParser(
     case VALUE_STRING if parser.getTextLength < 1 && allowEmptyString =>
       dataType match {
         case FloatType | DoubleType | TimestampType | DateType =>
-          throw QueryExecutionErrors.emptyJsonFieldValueError(dataType)
+          throw EmptyJsonFieldValueException(dataType)
         case _ => null
       }
 
     case VALUE_STRING if parser.getTextLength < 1 =>
-      throw QueryExecutionErrors.emptyJsonFieldValueError(dataType)
+      throw EmptyJsonFieldValueException(dataType)
 
     case token =>
       // We cannot parse this token based on the given data type. So, we throw a
       // RuntimeException and this exception will be caught by `parse` method.
-      throw QueryExecutionErrors.cannotParseJSONFieldError(parser, token, dataType)
+      throw CannotParseJSONFieldException(parser.getCurrentName, parser.getText, token, dataType)
   }
 
   /**
@@ -459,6 +459,11 @@ class JacksonParser(
             bitmask(index) = false
           } catch {
             case e: SparkUpgradeException => throw e
+            case err: PartialValueException if enablePartialResults =>
+              badRecordException = badRecordException.orElse(Some(err.cause))
+              row.update(index, err.partialResult)
+              skipRow = structFilters.skipRow(row, index)
+              bitmask(index) = false
             case NonFatal(e) if isRoot || enablePartialResults =>
               badRecordException = badRecordException.orElse(Some(e))
               parser.skipChildren()
@@ -508,7 +513,7 @@ class JacksonParser(
     if (badRecordException.isEmpty) {
       mapData
     } else {
-      throw PartialResultException(InternalRow(mapData), badRecordException.get)
+      throw PartialMapDataResultException(mapData, badRecordException.get)
     }
   }
 
@@ -543,10 +548,21 @@ class JacksonParser(
       throw PartialResultArrayException(arrayData.toArray[InternalRow](schema),
         badRecordException.get)
     } else {
-      throw PartialResultException(InternalRow(arrayData), badRecordException.get)
+      throw PartialArrayDataResultException(arrayData, badRecordException.get)
     }
   }
 
+  /**
+   * Converts the non-stacktrace exceptions to user-friendly QueryExecutionErrors.
+   */
+  private def convertCauseForPartialResult(err: Throwable): Throwable = err match {
+    case CannotParseJSONFieldException(fieldName, fieldValue, jsonType, dataType) =>
+      QueryExecutionErrors.cannotParseJSONFieldError(fieldName, fieldValue, jsonType, dataType)
+    case EmptyJsonFieldValueException(dataType) =>
+      QueryExecutionErrors.emptyJsonFieldValueError(dataType)
+    case _ => err
+  }
+
   /**
    * Parse the JSON input to the set of [[InternalRow]]s.
    *
@@ -589,12 +605,25 @@ class JacksonParser(
         throw BadRecordException(
           record = () => recordLiteral(record),
           partialResults = () => Array(row),
-          cause)
+          convertCauseForPartialResult(cause))
       case PartialResultArrayException(rows, cause) =>
         throw BadRecordException(
           record = () => recordLiteral(record),
           partialResults = () => rows,
           cause)
+      // These exceptions should never be thrown outside of JacksonParser.
+      // They are used for the control flow in the parser. We add them here for completeness
+      // since they also indicate a bad record.
+      case PartialArrayDataResultException(arrayData, cause) =>
+        throw BadRecordException(
+          record = () => recordLiteral(record),
+          partialResults = () => Array(InternalRow(arrayData)),
+          convertCauseForPartialResult(cause))
+      case PartialMapDataResultException(mapData, cause) =>
+        throw BadRecordException(
+          record = () => recordLiteral(record),
+          partialResults = () => Array(InternalRow(mapData)),
+          convertCauseForPartialResult(cause))
     }
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/BadRecordException.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/BadRecordException.scala
index e1223a71f746b..65a56c1064e45 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/BadRecordException.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/BadRecordException.scala
@@ -17,18 +17,44 @@
 
 package org.apache.spark.sql.catalyst.util
 
+import com.fasterxml.jackson.core.JsonToken
+
 import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.types.DataType
 import org.apache.spark.unsafe.types.UTF8String
 
+abstract class PartialValueException(val cause: Throwable) extends Exception(cause) {
+  def partialResult: Serializable
+  override def getStackTrace(): Array[StackTraceElement] = cause.getStackTrace()
+  override def fillInStackTrace(): Throwable = this
+}
+
 /**
- * Exception thrown when the underlying parser returns a partial result of parsing.
+ * Exception thrown when the underlying parser returns a partial result of parsing an object/row.
  * @param partialResult the partial result of parsing a bad record.
  * @param cause the actual exception about why the parser cannot return full result.
  */
 case class PartialResultException(
-     partialResult: InternalRow,
-     cause: Throwable)
-  extends Exception(cause)
+    override val partialResult: InternalRow,
+    override val cause: Throwable) extends PartialValueException(cause)
+
+/**
+ * Exception thrown when the underlying parser returns a partial array result.
+ * @param partialResult the partial array result.
+ * @param cause the actual exception about why the parser cannot return full result.
+ */
+case class PartialArrayDataResultException(
+    override val partialResult: ArrayData,
+    override val cause: Throwable) extends PartialValueException(cause)
+
+/**
+ * Exception thrown when the underlying parser returns a partial map result.
+ * @param partialResult the partial map result.
+ * @param cause the actual exception about why the parser cannot return full result.
+ */
+case class PartialMapDataResultException(
+    override val partialResult: MapData,
+    override val cause: Throwable) extends PartialValueException(cause)
 
 /**
  * Exception thrown when the underlying parser returns partial result list of parsing.
@@ -56,3 +82,33 @@ case class BadRecordException(
  * Exception thrown when the underlying parser parses a JSON array as a struct.
  */
 case class JsonArraysAsStructsException() extends RuntimeException()
+
+/**
+ * Exception thrown when the underlying parser can not parses a String as a datatype.
+ */
+case class StringAsDataTypeException(
+    fieldName: String,
+    fieldValue: String,
+    dataType: DataType) extends RuntimeException()
+
+/**
+ * No-stacktrace equivalent of `QueryExecutionErrors.cannotParseJSONFieldError`.
+ * Used for code control flow in the parser without overhead of creating a full exception.
+ */
+case class CannotParseJSONFieldException(
+    fieldName: String,
+    fieldValue: String,
+    jsonType: JsonToken,
+    dataType: DataType) extends RuntimeException() {
+  override def getStackTrace(): Array[StackTraceElement] = new Array[StackTraceElement](0)
+  override def fillInStackTrace(): Throwable = this
+}
+
+/**
+ * No-stacktrace equivalent of `QueryExecutionErrors.emptyJsonFieldValueError`.
+ * Used for code control flow in the parser without overhead of creating a full exception.
+ */
+case class EmptyJsonFieldValueException(dataType: DataType) extends RuntimeException() {
+  override def getStackTrace(): Array[StackTraceElement] = new Array[StackTraceElement](0)
+  override def fillInStackTrace(): Throwable = this
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 45986e42348d8..f4968cd005708 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -1329,11 +1329,19 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
 
   def cannotParseJSONFieldError(parser: JsonParser, jsonType: JsonToken, dataType: DataType)
   : SparkRuntimeException = {
+    cannotParseJSONFieldError(parser.getCurrentName, parser.getText, jsonType, dataType)
+  }
+
+  def cannotParseJSONFieldError(
+      fieldName: String,
+      fieldValue: String,
+      jsonType: JsonToken,
+      dataType: DataType): SparkRuntimeException = {
     new SparkRuntimeException(
       errorClass = "CANNOT_PARSE_JSON_FIELD",
       messageParameters = Map(
-        "fieldName" -> toSQLValue(parser.getCurrentName, StringType),
-        "fieldValue" -> parser.getText,
+        "fieldName" -> toSQLValue(fieldName, StringType),
+        "fieldValue" -> fieldValue,
         "jsonType" -> jsonType.toString(),
         "dataType" -> toSQLType(dataType)))
   }
diff --git a/sql/core/benchmarks/JsonBenchmark-results.txt b/sql/core/benchmarks/JsonBenchmark-results.txt
index 55f66f7bb24ed..e53c780114184 100644
--- a/sql/core/benchmarks/JsonBenchmark-results.txt
+++ b/sql/core/benchmarks/JsonBenchmark-results.txt
@@ -3,121 +3,125 @@ Benchmark for performance of JSON parsing
 ================================================================================================
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 JSON schema inferring:                    Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-No encoding                                        3720           3843         121          1.3         743.9       1.0X
-UTF-8 is set                                       5412           5455          45          0.9        1082.4       0.7X
+No encoding                                        2084           2134          46          2.4         416.8       1.0X
+UTF-8 is set                                       3077           3093          14          1.6         615.3       0.7X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 count a short column:                     Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-No encoding                                        3234           3254          33          1.5         646.7       1.0X
-UTF-8 is set                                       4847           4868          21          1.0         969.5       0.7X
+No encoding                                        2854           2863           8          1.8         570.8       1.0X
+UTF-8 is set                                       4066           4066           1          1.2         813.1       0.7X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 count a wide column:                      Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-No encoding                                        5702           5794         101          0.2        5702.1       1.0X
-UTF-8 is set                                       9526           9607          73          0.1        9526.1       0.6X
+No encoding                                        3348           3368          26          0.3        3347.8       1.0X
+UTF-8 is set                                       5215           5239          22          0.2        5214.7       0.6X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 select wide row:                          Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-No encoding                                       18318          18448         199          0.0      366367.7       1.0X
-UTF-8 is set                                      19791          19887          99          0.0      395817.1       0.9X
+No encoding                                       11046          11102          54          0.0      220928.4       1.0X
+UTF-8 is set                                      12135          12181          54          0.0      242697.4       0.9X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Select a subset of 10 columns:            Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Select 10 columns                                  2531           2570          51          0.4        2531.3       1.0X
-Select 1 column                                    1867           1882          16          0.5        1867.0       1.4X
+Select 10 columns                                  2486           2488           2          0.4        2486.5       1.0X
+Select 1 column                                    1505           1506           2          0.7        1504.6       1.7X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 creation of JSON parser per line:         Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Short column without encoding                       868            875           7          1.2         868.4       1.0X
-Short column with UTF-8                            1151           1163          11          0.9        1150.9       0.8X
-Wide column without encoding                      12063          12299         205          0.1       12063.0       0.1X
-Wide column with UTF-8                            16095          16136          51          0.1       16095.3       0.1X
+Short column without encoding                       888            889           3          1.1         887.6       1.0X
+Short column with UTF-8                            1134           1136           2          0.9        1134.3       0.8X
+Wide column without encoding                       8012           8056          51          0.1        8012.4       0.1X
+Wide column with UTF-8                             9830           9844          22          0.1        9829.7       0.1X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 JSON functions:                           Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Text read                                           165            170           4          6.1         164.7       1.0X
-from_json                                          2339           2386          77          0.4        2338.9       0.1X
-json_tuple                                         2667           2730          55          0.4        2667.3       0.1X
-get_json_object                                    2627           2659          32          0.4        2627.1       0.1X
+Text read                                            85             87           2         11.7          85.4       1.0X
+from_json                                          1706           1711           4          0.6        1706.4       0.1X
+json_tuple                                         1528           1534           7          0.7        1528.2       0.1X
+get_json_object                                    1275           1286          17          0.8        1275.0       0.1X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Dataset of json strings:                  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Text read                                           700            715          20          7.1         140.1       1.0X
-schema inferring                                   3144           3166          20          1.6         628.7       0.2X
-parsing                                            3261           3271           9          1.5         652.1       0.2X
+Text read                                           369            370           1         13.6          73.8       1.0X
+schema inferring                                   1880           1883           4          2.7         376.0       0.2X
+parsing                                            3731           3737           8          1.3         746.1       0.1X
 
 Preparing data for benchmarking ...
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Json files in the per-line mode:          Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Text read                                          1096           1105          12          4.6         219.1       1.0X
-Schema inferring                                   3818           3830          16          1.3         763.6       0.3X
-Parsing without charset                            4107           4137          32          1.2         821.4       0.3X
-Parsing with UTF-8                                 5717           5763          41          0.9        1143.3       0.2X
+Text read                                           553            579          32          9.0         110.6       1.0X
+Schema inferring                                   2195           2196           2          2.3         439.0       0.3X
+Parsing without charset                            4272           4274           3          1.2         854.3       0.1X
+Parsing with UTF-8                                 5459           5464           6          0.9        1091.7       0.1X
 
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Write dates and timestamps:               Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-Create a dataset of timestamps                      199            202           3          5.0         198.9       1.0X
-to_json(timestamp)                                 1458           1487          26          0.7        1458.0       0.1X
-write timestamps to files                          1232           1262          26          0.8        1232.5       0.2X
-Create a dataset of dates                           231            237           5          4.3         230.8       0.9X
-to_json(date)                                       956            966          10          1.0         956.5       0.2X
-write dates to files                                785            793          10          1.3         785.4       0.3X
+Create a dataset of timestamps                      102            112          13          9.8         101.9       1.0X
+to_json(timestamp)                                  840            841           1          1.2         839.6       0.1X
+write timestamps to files                           692            696           4          1.4         692.0       0.1X
+Create a dataset of dates                           120            121           1          8.4         119.7       0.9X
+to_json(date)                                       589            591           2          1.7         589.3       0.2X
+write dates to files                                442            445           2          2.3         442.3       0.2X
 
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Read dates and timestamps:                                             Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-read timestamp text from files                                                   294            300           6          3.4         293.8       1.0X
-read timestamps from files                                                      3254           3283          49          0.3        3254.0       0.1X
-infer timestamps from files                                                     8390           8528         165          0.1        8389.8       0.0X
-read date text from files                                                        269            276           7          3.7         269.3       1.1X
-read date from files                                                            1178           1192          13          0.8        1177.8       0.2X
-timestamp strings                                                                406            418          15          2.5         406.2       0.7X
-parse timestamps from Dataset[String]                                           3700           3713          16          0.3        3699.5       0.1X
-infer timestamps from Dataset[String]                                           8604           8647          65          0.1        8604.0       0.0X
-date strings                                                                     464            479          14          2.2         463.7       0.6X
-parse dates from Dataset[String]                                                1528           1538          10          0.7        1527.7       0.2X
-from_json(timestamp)                                                            5402           5429          26          0.2        5401.8       0.1X
-from_json(date)                                                                 2948           2966          17          0.3        2947.5       0.1X
-infer error timestamps from Dataset[String] with default format                 2358           2434          70          0.4        2357.6       0.1X
-infer error timestamps from Dataset[String] with user-provided format           2363           2390          36          0.4        2362.9       0.1X
-infer error timestamps from Dataset[String] with legacy format                  2248           2287          35          0.4        2248.3       0.1X
+read timestamp text from files                                                   143            145           4          7.0         142.6       1.0X
+read timestamps from files                                                      2449           2469          17          0.4        2448.6       0.1X
+infer timestamps from files                                                     5579           5596          15          0.2        5578.8       0.0X
+read date text from files                                                        132            139           7          7.6         131.7       1.1X
+read date from files                                                            1017           1020           2          1.0        1017.5       0.1X
+timestamp strings                                                                227            230           3          4.4         227.2       0.6X
+parse timestamps from Dataset[String]                                           2827           2830           3          0.4        2826.5       0.1X
+infer timestamps from Dataset[String]                                           6001           6008           6          0.2        6001.2       0.0X
+date strings                                                                     259            261           2          3.9         259.0       0.6X
+parse dates from Dataset[String]                                                1382           1387           4          0.7        1382.3       0.1X
+from_json(timestamp)                                                            3557           3561           7          0.3        3556.8       0.0X
+from_json(date)                                                                 2146           2148           2          0.5        2146.4       0.1X
+infer error timestamps from Dataset[String] with default format                 1989           1993           4          0.5        1989.3       0.1X
+infer error timestamps from Dataset[String] with user-provided format           1922           1925           3          0.5        1922.1       0.1X
+infer error timestamps from Dataset[String] with legacy format                  1919           1923           4          0.5        1919.1       0.1X
 
-OpenJDK 64-Bit Server VM 1.8.0_362-b09 on Linux 5.15.0-1037-azure
-Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
 Filters pushdown:                         Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------
-w/o filters                                       22544          22661         109          0.0      225436.4       1.0X
-pushdown disabled                                 21045          21213         188          0.0      210452.6       1.1X
-w/ filters                                          893            904          10          0.1        8931.8      25.2X
-
+w/o filters                                       14387          14399          12          0.0      143871.9       1.0X
+pushdown disabled                                 13891          13899           7          0.0      138912.3       1.0X
+w/ filters                                          782            784           2          0.1        7820.5      18.4X
 
+OpenJDK 64-Bit Server VM 1.8.0_292-8u292-b10-0ubuntu1~18.04-b10 on Linux 5.4.0-1045-aws
+Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
+Partial JSON results:                     Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
+------------------------------------------------------------------------------------------------------------------------
+parse invalid JSON                                 3100           3106           6          0.0      309967.6       1.0X
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
index 187fab75f6378..a76e102fe913f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
@@ -1021,16 +1021,23 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
       .add("c2", ArrayType(new StructType().add("c3", LongType).add("c4", StringType)))
     val df1 = Seq("""{"c2": [19], "c1": 123456}""").toDF("c0")
     checkAnswer(df1.select(from_json($"c0", st)), Row(Row(123456, null)))
+
     val df2 = Seq("""{"data": {"c2": [19], "c1": 123456}}""").toDF("c0")
-    checkAnswer(df2.select(from_json($"c0", new StructType().add("data", st))), Row(Row(null)))
+    withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+      checkAnswer(
+        df2.select(from_json($"c0", new StructType().add("data", st))),
+        Row(Row(Row(123456, null)))
+      )
+    }
+    withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+      checkAnswer(df2.select(from_json($"c0", new StructType().add("data", st))), Row(Row(null)))
+    }
 
+    val df3 = Seq("""[{"c2": [19], "c1": 123456}]""").toDF("c0")
     withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
-      val df3 = Seq("""[{"c2": [19], "c1": 123456}]""").toDF("c0")
       checkAnswer(df3.select(from_json($"c0", ArrayType(st))), Row(Array(Row(123456, null))))
     }
-
     withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
-      val df3 = Seq("""[{"c2": [19], "c1": 123456}]""").toDF("c0")
       checkAnswer(df3.select(from_json($"c0", ArrayType(st))), Row(null))
     }
 
@@ -1119,14 +1126,13 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
         )
       )
 
-    // Value "a" cannot be parsed as an integer,
-    // the error cascades to "c2", thus making its value null.
+    // Value "a" cannot be parsed as an integer, c2 value is null.
     val df = Seq("""[{"c1": [{"c2": ["a"]}]}]""").toDF("c0")
 
     withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
       checkAnswer(
         df.select(from_json($"c0", ArrayType(st))),
-        Row(Array(Row(null)))
+        Row(Array(Row(Seq(Row(null)))))
       )
     }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala
index c522378a65d7c..5b86543648f07 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala
@@ -542,6 +542,33 @@ object JsonBenchmark extends SqlBasedBenchmark {
     }
   }
 
+  private def partialResultBenchmark(rowsNum: Int, numIters: Int): Unit = {
+    val benchmark = new Benchmark("Partial JSON results", rowsNum, output = output)
+    val colsNum = 1000
+
+    val fields = Seq.tabulate(colsNum)(i => StructField(s"col$i", IntegerType))
+    val schema = StructType(fields)
+
+    def data: Dataset[String] = {
+      spark.range(0, rowsNum, 1, 1).mapPartitions { iter =>
+        iter.map { i =>
+          (0 until colsNum).map { j =>
+            // Only the last column has an integer value.
+            if (j < colsNum - 1) s""""col${i}":"foo_${j}"""" else s""""col${i}":${j}"""
+          }.mkString("{", ", ", "}")
+        }
+      }.select($"value").as[String]
+    }
+
+    benchmark.addCase("parse invalid JSON", numIters) { _ =>
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        spark.read.schema(schema).json(data).noop()
+      }
+    }
+
+    benchmark.run()
+  }
+
   override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
     val numIters = 3
     runBenchmark("Benchmark for performance of JSON parsing") {
@@ -558,6 +585,7 @@ object JsonBenchmark extends SqlBasedBenchmark {
       // Benchmark pushdown filters that refer to top-level columns.
       // TODO (SPARK-32325): Add benchmarks for filters with nested column attributes.
       filtersPushdownBenchmark(rowsNum = 100 * 1000, numIters)
+      partialResultBenchmark(rowsNum = 10000, numIters)
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
index 95468a1f1d77c..11779286ec25f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
@@ -3437,7 +3437,7 @@ abstract class JsonSuite
           if (enablePartialResults) {
             checkAnswer(
               df,
-              Seq(Row(null, Row(1)), Row(Row(2, null), Row(2)))
+              Seq(Row(Row(1, null), Row(1)), Row(Row(2, null), Row(2)))
             )
           } else {
             checkAnswer(
@@ -3450,6 +3450,174 @@ abstract class JsonSuite
     }
   }
 
+  test("SPARK-44940: fully parse the record except f1 if partial results are enabled") {
+    withTempPath { path =>
+      Seq(
+        """{"a1": "AAA", "a2": [{"f1": "", "f2": ""}], "a3": "id1", "a4": "XXX"}""",
+        """{"a1": "BBB", "a2": [{"f1": 12, "f2": ""}], "a3": "id2", "a4": "YYY"}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", Seq(Row(null, "")), "id1", "XXX"),
+            Row("BBB", Seq(Row(12, "")), "id2", "YYY")
+          )
+        )
+      }
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, null, null),
+            Row("BBB", Seq(Row(12, "")), "id2", "YYY")
+          )
+        )
+      }
+    }
+  }
+
+  test("SPARK-44940: fully parse primitive map if partial results are enabled") {
+    withTempPath { path =>
+      Seq(
+        """{"a1": "AAA", "a2": {"f1": "", "f2": ""}, "a3": "id1"}""",
+        """{"a1": "BBB", "a2": {"f1": 12, "f2": ""}, "a3": "id2"}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      val schema = "a1 string, a2 map<string, int>, a3 string"
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        val df = spark.read.schema(schema).json(path.getAbsolutePath)
+        // Although the keys match the string type and some values match the integer type, because
+        // some of the values do not match the type, we mark the entire map as null.
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, "id1"),
+            Row("BBB", null, "id2")
+          )
+        )
+      }
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+        val df = spark.read.schema(schema).json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, null),
+            Row("BBB", null, null)
+          )
+        )
+      }
+    }
+  }
+
+  test("SPARK-44940: fully parse map of structs if partial results are enabled") {
+    withTempPath { path =>
+      Seq(
+        """{"a1": "AAA", "a2": {"key": {"f1": "", "f2": ""}}, "a3": "id1"}""",
+        """{"a1": "BBB", "a2": {"key": {"f1": 12, "f2": ""}}, "a3": "id2"}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      val schema = "a1 string, a2 map<string, struct<f1: int, f2: string>>, a3 string"
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        val df = spark.read.schema(schema).json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", Map("key" -> Row(null, "")), "id1"),
+            Row("BBB", Map("key" -> Row(12, "")), "id2")
+          )
+        )
+      }
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+        val df = spark.read.schema(schema).json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, null),
+            Row("BBB", Map("key" -> Row(12, "")), "id2")
+          )
+        )
+      }
+    }
+  }
+
+  test("SPARK-44940: fully parse primitive arrays if partial results are enabled") {
+    withTempPath { path =>
+      Seq(
+        """{"a1": "AAA", "a2": {"f1": [""]}, "a3": "id1", "a4": "XXX"}""",
+        """{"a1": "BBB", "a2": {"f1": [12]}, "a3": "id2", "a4": "YYY"}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", Row(null), "id1", "XXX"),
+            Row("BBB", Row(Seq(12)), "id2", "YYY")
+          )
+        )
+      }
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, null, null),
+            Row("BBB", Row(Seq(12)), "id2", "YYY")
+          )
+        )
+      }
+    }
+  }
+
+  test("SPARK-44940: fully parse array of arrays if partial results are enabled") {
+    withTempPath { path =>
+      Seq(
+        """{"a1": "AAA", "a2": [[12, ""], [""]], "a3": "id1", "a4": "XXX"}""",
+        """{"a1": "BBB", "a2": [[12, 34], [""]], "a3": "id2", "a4": "YYY"}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      // We cannot parse `array<array<int>>` type because one of the inner arrays contains a
+      // mismatched type.
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, "id1", "XXX"),
+            Row("BBB", null, "id2", "YYY")
+          )
+        )
+      }
+
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+        val df = spark.read.json(path.getAbsolutePath)
+        checkAnswer(
+          df,
+          Seq(
+            Row("AAA", null, "id1", "XXX"),
+            Row("BBB", null, "id2", "YYY")
+          )
+        )
+      }
+    }
+  }
+
   test("SPARK-40667: validate JSON Options") {
     assert(JSONOptions.getAllOptions.size == 28)
     // Please add validation on any new Json options here

From 9389a2ccacce61cbbbc9bbb1b19b2825d932ba11 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Tue, 5 Sep 2023 15:35:12 +0200
Subject: [PATCH 355/986] [SPARK-45072][CONNECT] Fix outer scopes for ammonite
 classes

### What changes were proposed in this pull request?
Ammonite places all user code inside Helper classes which are nested inside the class it creates for each command. This PR adds a custom code class wrapper for the Ammonite REPL. It makes sure the Helper classes generated by ammonite are always registered as an outer scope immediately. This way we can instantiate classes defined inside the Helper class, even when we execute Spark code as part of the Helper's constructor.

### Why are the changes needed?
When you currently define a class and execute a Spark command using that class inside the same cell/line this will fail with an NullPointerException. The reason for that is that we cannot resolve the outer scope needed to instantiate the class. This PR fixes that issue. The following code will now execute successfully (include the curly braces):
```scala
{
  case class Thing(val value: String)
  val r = (0 to 10).map( value => Thing(value.toString) )
  spark.createDataFrame(r)
}
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
I added more tests to the `ReplE2ESuite`.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42807 from hvanhovell/SPARK-45072.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 40943c2748fdd28d970d017cb8ee86c294ee62df)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/application/ConnectRepl.scala   | 29 +++++++++--
 .../spark/sql/application/ReplE2ESuite.scala  | 48 +++++++++++++++----
 .../CheckConnectJvmClientCompatibility.scala  |  6 +++
 3 files changed, 71 insertions(+), 12 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/application/ConnectRepl.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/application/ConnectRepl.scala
index e6ada566398c7..0360a40578869 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/application/ConnectRepl.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/application/ConnectRepl.scala
@@ -22,7 +22,8 @@ import java.util.concurrent.Semaphore
 import scala.util.control.NonFatal
 
 import ammonite.compiler.CodeClassWrapper
-import ammonite.util.Bind
+import ammonite.compiler.iface.CodeWrapper
+import ammonite.util.{Bind, Imports, Name, Util}
 
 import org.apache.spark.annotation.DeveloperApi
 import org.apache.spark.sql.SparkSession
@@ -94,8 +95,8 @@ object ConnectRepl {
     val main = ammonite.Main(
       welcomeBanner = Option(splash),
       predefCode = predefCode,
-      replCodeWrapper = CodeClassWrapper,
-      scriptCodeWrapper = CodeClassWrapper,
+      replCodeWrapper = ExtendedCodeClassWrapper,
+      scriptCodeWrapper = ExtendedCodeClassWrapper,
       inputStream = inputStream,
       outputStream = outputStream,
       errorStream = errorStream)
@@ -107,3 +108,25 @@ object ConnectRepl {
     }
   }
 }
+
+/**
+ * [[CodeWrapper]] that makes sure new Helper classes are always registered as an outer scope.
+ */
+@DeveloperApi
+object ExtendedCodeClassWrapper extends CodeWrapper {
+  override def wrapperPath: Seq[Name] = CodeClassWrapper.wrapperPath
+  override def apply(
+      code: String,
+      source: Util.CodeSource,
+      imports: Imports,
+      printCode: String,
+      indexedWrapper: Name,
+      extraCode: String): (String, String, Int) = {
+    val (top, bottom, level) =
+      CodeClassWrapper(code, source, imports, printCode, indexedWrapper, extraCode)
+    // Make sure we register the Helper before anything else, so outer scopes work as expected.
+    val augmentedTop = top +
+      "\norg.apache.spark.sql.catalyst.encoders.OuterScopes.addOuterScope(this)\n"
+    (augmentedTop, bottom, level)
+  }
+}
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 4106d298dbe2b..5bb8cbf3543b0 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -79,12 +79,10 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
 
   override def afterEach(): Unit = {
     semaphore.drainPermits()
-    if (ammoniteOut != null) {
-      ammoniteOut.reset()
-    }
   }
 
   def runCommandsInShell(input: String): String = {
+    ammoniteOut.reset()
     require(input.nonEmpty)
     // Pad the input with a semaphore release so that we know when the execution of the provided
     // input is complete.
@@ -105,6 +103,10 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     getCleanString(ammoniteOut)
   }
 
+  def runCommandsUsingSingleCellInShell(input: String): String = {
+    runCommandsInShell("{\n" + input + "\n}")
+  }
+
   def assertContains(message: String, output: String): Unit = {
     val isContain = output.contains(message)
     assert(
@@ -263,6 +265,31 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     assertContains("Array[org.apache.spark.sql.Row] = Array([id1,1], [id2,16], [id3,25])", output)
   }
 
+  test("Single Cell Compilation") {
+    val input =
+      """
+        |case class C1(value: Int)
+        |case class C2(value: Int)
+        |val h1 = classOf[C1].getDeclaringClass
+        |val h2 = classOf[C2].getDeclaringClass
+        |val same = h1 == h2
+        |""".stripMargin
+    assertContains("same: Boolean = false", runCommandsInShell(input))
+    assertContains("same: Boolean = true", runCommandsUsingSingleCellInShell(input))
+  }
+
+  test("Local relation containing REPL generated class") {
+    val input =
+      """
+        |case class MyTestClass(value: Int)
+        |val data = (0 to 10).map(MyTestClass)
+        |spark.createDataset(data).map(mtc => mtc.value).select(sum($"value")).as[Long].head
+        |""".stripMargin
+    val expected = "Long = 55L"
+    assertContains(expected, runCommandsInShell(input))
+    assertContains(expected, runCommandsUsingSingleCellInShell(input))
+  }
+
   test("Collect REPL generated class") {
     val input =
       """
@@ -275,8 +302,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
         |  map(mtc => s"MyTestClass(${mtc.value})").
         |  mkString("[", ", ", "]")
           """.stripMargin
-    val output = runCommandsInShell(input)
-    assertContains("""String = "[MyTestClass(1), MyTestClass(3)]"""", output)
+    val expected = """String = "[MyTestClass(1), MyTestClass(3)]""""
+    assertContains(expected, runCommandsInShell(input))
+    assertContains(expected, runCommandsUsingSingleCellInShell(input))
   }
 
   test("REPL class in encoder") {
@@ -288,8 +316,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
         |  map(mtc => mtc.value).
         |  collect()
       """.stripMargin
-    val output = runCommandsInShell(input)
-    assertContains("Array[Int] = Array(0, 1, 2)", output)
+    val expected = "Array[Int] = Array(0, 1, 2)"
+    assertContains(expected, runCommandsInShell(input))
+    assertContains(expected, runCommandsUsingSingleCellInShell(input))
   }
 
   test("REPL class in UDF") {
@@ -301,8 +330,9 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
         |  map(mtc => s"MyTestClass(${mtc.value})").
         |  mkString("[", ", ", "]")
       """.stripMargin
-    val output = runCommandsInShell(input)
-    assertContains("""String = "[MyTestClass(0), MyTestClass(1)]"""", output)
+    val expected = """String = "[MyTestClass(0), MyTestClass(1)]""""
+    assertContains(expected, runCommandsInShell(input))
+    assertContains(expected, runCommandsUsingSingleCellInShell(input))
   }
 
   test("streaming works with REPL generated code") {
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
index 72b0f02f378dd..0cc1a44b27327 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/CheckConnectJvmClientCompatibility.scala
@@ -358,6 +358,12 @@ object CheckConnectJvmClientCompatibility {
       ProblemFilters.exclude[MissingClassProblem](
         "org.apache.spark.sql.application.ConnectRepl$" // developer API
       ),
+      ProblemFilters.exclude[MissingClassProblem](
+        "org.apache.spark.sql.application.ExtendedCodeClassWrapper" // developer API
+      ),
+      ProblemFilters.exclude[MissingClassProblem](
+        "org.apache.spark.sql.application.ExtendedCodeClassWrapper$" // developer API
+      ),
 
       // SparkSession
       // developer API

From dc6af11082ee39666aa6ae64df0f32dc142bf807 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <yuanjian.li@databricks.com>
Date: Tue, 5 Sep 2023 12:45:36 -0700
Subject: [PATCH 356/986] [SPARK-45082][DOC] Review and fix issues in API docs
 for 3.5.0

### What changes were proposed in this pull request?

Compare the 3.4 API doc with the 3.5 RC3 cut. Fix the following issues:

- Remove the leaking class/object in API doc

### Why are the changes needed?
Fix the issues in the Spark 3.5.0 release API docs.

### Does this PR introduce _any_ user-facing change?
No, API doc changes only.

### How was this patch tested?
Manually test.

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #42819 from xuanyuanking/SPARK-45082.

Authored-by: Yuanjian Li <yuanjian.li@databricks.com>
Signed-off-by: Yuanjian Li <yuanjian.li@databricks.com>
(cherry picked from commit e0a6af988df3f52e95d46ac4c333825d2940065f)
Signed-off-by: Yuanjian Li <yuanjian.li@databricks.com>
---
 .../org/apache/spark/SparkBuildInfo.scala     |  2 +-
 .../apache/spark/util/SparkClassUtils.scala   |  4 +--
 .../spark/util/SparkCollectionUtils.scala     |  4 +--
 .../apache/spark/util/SparkErrorUtils.scala   |  2 +-
 .../apache/spark/util/SparkSerDeUtils.scala   |  4 +--
 .../apache/spark/sql/avro/CustomDecimal.scala |  4 +--
 .../apache/spark/util/StubClassLoader.scala   |  4 +--
 .../spark/sql/errors/CompilationErrors.scala  |  2 +-
 .../spark/sql/types/DataTypeExpression.scala  | 30 +++++++++----------
 .../apache/spark/sql/jdbc/JdbcDialects.scala  |  2 +-
 10 files changed, 29 insertions(+), 29 deletions(-)

diff --git a/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala b/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala
index 23f671f9d7647..ebc62460d2318 100644
--- a/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala
+++ b/common/utils/src/main/scala/org/apache/spark/SparkBuildInfo.scala
@@ -18,7 +18,7 @@ package org.apache.spark
 
 import java.util.Properties
 
-object SparkBuildInfo {
+private[spark] object SparkBuildInfo {
 
   val (
     spark_version: String,
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
index 679d546d04c9f..5984eaee42e73 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkClassUtils.scala
@@ -20,7 +20,7 @@ import java.util.Random
 
 import scala.util.Try
 
-trait SparkClassUtils {
+private[spark] trait SparkClassUtils {
   val random = new Random()
 
   def getSparkClassLoader: ClassLoader = getClass.getClassLoader
@@ -80,4 +80,4 @@ trait SparkClassUtils {
   }
 }
 
-object SparkClassUtils extends SparkClassUtils
+private[spark] object SparkClassUtils extends SparkClassUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
index 7fecc9ccb664d..be8282db31bee 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkCollectionUtils.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.catalyst.util
 
 import scala.collection.immutable
 
-trait SparkCollectionUtils {
+private[spark] trait SparkCollectionUtils {
   /**
    * Same function as `keys.zipWithIndex.toMap`, but has perf gain.
    */
@@ -34,4 +34,4 @@ trait SparkCollectionUtils {
   }
 }
 
-object SparkCollectionUtils extends SparkCollectionUtils
+private[spark] object SparkCollectionUtils extends SparkCollectionUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
index 97a07984a228a..8194d1e424173 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkErrorUtils.scala
@@ -90,4 +90,4 @@ private[spark] trait SparkErrorUtils extends Logging {
   }
 }
 
-object SparkErrorUtils extends SparkErrorUtils
+private[spark] object SparkErrorUtils extends SparkErrorUtils
diff --git a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
index 9b6174c47bde3..2cc14fea5f307 100644
--- a/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
+++ b/common/utils/src/main/scala/org/apache/spark/util/SparkSerDeUtils.scala
@@ -18,7 +18,7 @@ package org.apache.spark.util
 
 import java.io.{ByteArrayInputStream, ByteArrayOutputStream, ObjectInputStream, ObjectOutputStream, ObjectStreamClass}
 
-trait SparkSerDeUtils {
+private[spark] trait SparkSerDeUtils {
   /** Serialize an object using Java serialization */
   def serialize[T](o: T): Array[Byte] = {
     val bos = new ByteArrayOutputStream()
@@ -51,4 +51,4 @@ trait SparkSerDeUtils {
   }
 }
 
-object SparkSerDeUtils extends SparkSerDeUtils
+private[spark] object SparkSerDeUtils extends SparkSerDeUtils
diff --git a/connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala b/connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala
index d76f40c7635c4..fab3d4493e344 100644
--- a/connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala
+++ b/connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala
@@ -22,14 +22,14 @@ import org.apache.avro.Schema
 
 import org.apache.spark.sql.types.DecimalType
 
-object CustomDecimal {
+private[spark] object CustomDecimal {
   val TYPE_NAME = "custom-decimal"
 }
 
 // A customized logical type, which will be registered to Avro. This logical type is similar to
 // Avro's builtin Decimal type, but is meant to be registered for long type. It indicates that
 // the long type should be converted to Spark's Decimal type, with provided precision and scale.
-private class CustomDecimal(schema: Schema) extends LogicalType(CustomDecimal.TYPE_NAME) {
+private[spark] class CustomDecimal(schema: Schema) extends LogicalType(CustomDecimal.TYPE_NAME) {
   val scale : Int = {
     val obj = schema.getObjectProp("scale")
     obj match {
diff --git a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
index 8d903c2a3e400..ed58ccf1bcf15 100644
--- a/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
+++ b/core/src/main/scala/org/apache/spark/util/StubClassLoader.scala
@@ -28,7 +28,7 @@ import org.apache.spark.internal.Logging
  * whose capturing class contains unknown (and unneeded) classes. The lambda itself does not need
  * the class and therefor is safe to replace by a stub.
  */
-class StubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
+private[spark] class StubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
   extends ClassLoader(parent) with Logging {
   override def findClass(name: String): Class[_] = {
     if (!shouldStub(name)) {
@@ -40,7 +40,7 @@ class StubClassLoader(parent: ClassLoader, shouldStub: String => Boolean)
   }
 }
 
-object StubClassLoader {
+private[spark] object StubClassLoader {
   def apply(parent: ClassLoader, binaryName: Seq[String]): StubClassLoader = {
     new StubClassLoader(parent, name => binaryName.exists(p => name.startsWith(p)))
   }
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
index deae1198d9cb9..7c0b3c6cf3083 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/CompilationErrors.scala
@@ -51,4 +51,4 @@ private[sql] trait CompilationErrors extends DataTypeErrorsBase {
   }
 }
 
-object CompilationErrors extends CompilationErrors
+private[sql] object CompilationErrors extends CompilationErrors
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataTypeExpression.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataTypeExpression.scala
index 1b74419a4af7b..026272a0f2d85 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataTypeExpression.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DataTypeExpression.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.types
 
 import org.apache.spark.sql.catalyst.expressions.Expression
 
-abstract class DataTypeExpression(val dataType: DataType) {
+private[sql] abstract class DataTypeExpression(val dataType: DataType) {
   /**
    * Enables matching against DataType for expressions:
    * {{{
@@ -29,18 +29,18 @@ abstract class DataTypeExpression(val dataType: DataType) {
   private[sql] def unapply(e: Expression): Boolean = e.dataType == dataType
 }
 
-case object BooleanTypeExpression extends DataTypeExpression(BooleanType)
-case object StringTypeExpression extends DataTypeExpression(StringType)
-case object TimestampTypeExpression extends DataTypeExpression(TimestampType)
-case object DateTypeExpression extends DataTypeExpression(DateType)
-case object ByteTypeExpression extends DataTypeExpression(ByteType)
-case object ShortTypeExpression extends DataTypeExpression(ShortType)
-case object IntegerTypeExpression extends DataTypeExpression(IntegerType)
-case object LongTypeExpression extends DataTypeExpression(LongType)
-case object DoubleTypeExpression extends DataTypeExpression(DoubleType)
-case object FloatTypeExpression extends DataTypeExpression(FloatType)
+private[sql] case object BooleanTypeExpression extends DataTypeExpression(BooleanType)
+private[sql] case object StringTypeExpression extends DataTypeExpression(StringType)
+private[sql] case object TimestampTypeExpression extends DataTypeExpression(TimestampType)
+private[sql] case object DateTypeExpression extends DataTypeExpression(DateType)
+private[sql] case object ByteTypeExpression extends DataTypeExpression(ByteType)
+private[sql] case object ShortTypeExpression extends DataTypeExpression(ShortType)
+private[sql] case object IntegerTypeExpression extends DataTypeExpression(IntegerType)
+private[sql] case object LongTypeExpression extends DataTypeExpression(LongType)
+private[sql] case object DoubleTypeExpression extends DataTypeExpression(DoubleType)
+private[sql] case object FloatTypeExpression extends DataTypeExpression(FloatType)
 
-object NumericTypeExpression {
+private[sql] object NumericTypeExpression {
   /**
    * Enables matching against NumericType for expressions:
    * {{{
@@ -53,7 +53,7 @@ object NumericTypeExpression {
   }
 }
 
-object IntegralTypeExpression {
+private[sql] object IntegralTypeExpression {
   /**
    * Enables matching against IntegralType for expressions:
    * {{{
@@ -66,12 +66,12 @@ object IntegralTypeExpression {
   }
 }
 
-object AnyTimestampTypeExpression {
+private[sql] object AnyTimestampTypeExpression {
   def unapply(e: Expression): Boolean =
     e.dataType.isInstanceOf[TimestampType] || e.dataType.isInstanceOf[TimestampNTZType]
 }
 
-object DecimalExpression {
+private[sql] object DecimalExpression {
   def unapply(e: Expression): Option[(Int, Int)] = e.dataType match {
     case t: DecimalType => Some((t.precision, t.scale))
     case _ => None
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index fac3cc60d952a..2f5e813dcb618 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -719,6 +719,6 @@ object JdbcDialects {
 /**
  * NOOP dialect object, always returning the neutral element.
  */
-object NoopDialect extends JdbcDialect {
+private[spark] object NoopDialect extends JdbcDialect {
   override def canHandle(url : String): Boolean = true
 }

From c2939589a29dd0d6a2d3d31a8d833877a37ee02a Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Tue, 5 Sep 2023 20:15:44 +0000
Subject: [PATCH 357/986] Preparing Spark release v3.5.0-rc4

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..1c093a4a98046 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.0
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 45b68dd81cb9a..a0aca22eab91d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 67227ef38eb8f..8c9d11f64eec8 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 40de7414051bd..c78c5445e5073 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..10deea435d2bd 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..c40f9905245cb 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.0
+SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..f67475ac11bc0 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8fc4b89a78cc2..93d696d494e84 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index d7fc835fddbcb..f9cd2dc677adf 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..7222d49ecb020 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 66e07c97b7a5ac454e96a7b0b7ed83d942302991 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Tue, 5 Sep 2023 20:15:48 +0000
Subject: [PATCH 358/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a0aca22eab91d..45b68dd81cb9a 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 8c9d11f64eec8..67227ef38eb8f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index c78c5445e5073..40de7414051bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 10deea435d2bd..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index c40f9905245cb..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index f67475ac11bc0..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 93d696d494e84..8fc4b89a78cc2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index f9cd2dc677adf..d7fc835fddbcb 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7222d49ecb020..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 699e4e59515864862bd86734b2eb51cc674e38be Mon Sep 17 00:00:00 2001
From: zzzzming95 <505306252@qq.com>
Date: Wed, 6 Sep 2023 11:38:30 +0800
Subject: [PATCH 359/986] [SPARK-45071][SQL] Optimize the processing speed of
 `BinaryArithmetic#dataType` when processing multi-column data

### What changes were proposed in this pull request?

Since `BinaryArithmetic#dataType` will recursively process the datatype of each node, the driver will be very slow when multiple columns are processed.

For example, the following code:
```scala
import spark.implicits._
import scala.util.Random
import org.apache.spark.sql.Row
import org.apache.spark.sql.functions.sum
import org.apache.spark.sql.types.{StructType, StructField, IntegerType}

val N = 30
val M = 100

val columns = Seq.fill(N)(Random.alphanumeric.take(8).mkString)
val data = Seq.fill(M)(Seq.fill(N)(Random.nextInt(16) - 5))

val schema = StructType(columns.map(StructField(_, IntegerType)))
val rdd = spark.sparkContext.parallelize(data.map(Row.fromSeq(_)))
val df = spark.createDataFrame(rdd, schema)
val colExprs = columns.map(sum(_))

// gen a new column , and add the other 30 column
df.withColumn("new_col_sum", expr(columns.mkString(" + ")))
```

This code will take a few minutes for the driver to execute in the spark3.4 version, but only takes a few seconds to execute in the spark3.2 version. Related issue: [SPARK-39316](https://github.com/apache/spark/pull/36698)

### Why are the changes needed?

Optimize the processing speed of `BinaryArithmetic#dataType` when processing multi-column data

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

manual testing

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42804 from zzzzming95/SPARK-45071.

Authored-by: zzzzming95 <505306252@qq.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit 16e813cecd55490a71ef6c05fca2209fbdae078f)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 .../spark/sql/catalyst/expressions/arithmetic.scala  | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
index 31d4d71cd40ad..06742ef917bb5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
@@ -219,6 +219,12 @@ abstract class BinaryArithmetic extends BinaryOperator
 
   protected val evalMode: EvalMode.Value
 
+  private lazy val internalDataType: DataType = (left.dataType, right.dataType) match {
+    case (DecimalType.Fixed(p1, s1), DecimalType.Fixed(p2, s2)) =>
+      resultDecimalType(p1, s1, p2, s2)
+    case _ => left.dataType
+  }
+
   protected def failOnError: Boolean = evalMode match {
     // The TRY mode executes as if it would fail on errors, except that it would capture the errors
     // and return null results.
@@ -234,11 +240,7 @@ abstract class BinaryArithmetic extends BinaryOperator
     case _ => super.checkInputDataTypes()
   }
 
-  override def dataType: DataType = (left.dataType, right.dataType) match {
-    case (DecimalType.Fixed(p1, s1), DecimalType.Fixed(p2, s2)) =>
-      resultDecimalType(p1, s1, p2, s2)
-    case _ => left.dataType
-  }
+  override def dataType: DataType = internalDataType
 
   // When `spark.sql.decimalOperations.allowPrecisionLoss` is set to true, if the precision / scale
   // needed are out of the range of available values, the scale is reduced up to 6, in order to

From 04558fc90fe2df2d2791c98c5f7b15ee26e250eb Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Wed, 6 Sep 2023 14:21:47 +0900
Subject: [PATCH 360/986] [SPARK-44833][CONNECT] Fix sending Reattach too fast
 after Execute

### What changes were proposed in this pull request?

Redo the retry logic, so that getting a new iterator via ReattachExecute does not depend on "firstTry", but there is logic in "callIter" with unsetting the iterator when a new one is needed.

### Why are the changes needed?

After an "INVALID_HANDLE.OPERATION_NOT_FOUND" error, client would realize that the failure in ReattachExecute was because the initial ExecutePlan didn't reach the server. It would then call another ExecutePlan, and it will throw a RetryException to let the retry logic handle retrying. However, the retry logic would then immediately send a ReattachExecute, and the client will want to use the iterator of the reattach.

However, on the server the ExecutePlan and ReattachExecute could race with each other:
* ExecutePlan didn't reach executeHolder.runGrpcResponseSender(responseSender) in SparkConnectExecutePlanHandler yet.
* ReattachExecute races around and reaches executeHolder.runGrpcResponseSender(responseSender) in SparkConnectReattachExecuteHandler first.
* When ExecutePlan reaches executeHolder.runGrpcResponseSender(responseSender), and executionObserver.attachConsumer(this) is called in ExecuteGrpcResponseSender of ExecutePlan, it will kick out the ExecuteGrpcResponseSender of ReattachExecute.

So even though ReattachExecute came later, it will get interrupted by the earlier ExecutePlan and finish with a INVALID_CURSOR.DISCONNECTED error.

After this change, such a race between ExecutePlan / ReattachExecute can still happens, but the client should no longer send these requests in such quick succession.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Integration testing.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42806 from juliuszsompolski/SPARK-44833.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e4d17e9a1fb64454a6a007171837d159633e91fb)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 ...cutePlanResponseReattachableIterator.scala | 33 +++++++------------
 python/pyspark/sql/connect/client/reattach.py | 31 ++++++++---------
 2 files changed, 28 insertions(+), 36 deletions(-)

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index aeb452faecf5f..9bf7de33da8a7 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -91,8 +91,8 @@ class ExecutePlanResponseReattachableIterator(
   // Initial iterator comes from ExecutePlan request.
   // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
   // throw error on first iter.hasNext() or iter.next()
-  private var iter: java.util.Iterator[proto.ExecutePlanResponse] =
-    rawBlockingStub.executePlan(initialRequest)
+  private var iter: Option[java.util.Iterator[proto.ExecutePlanResponse]] =
+    Some(rawBlockingStub.executePlan(initialRequest))
 
   override def next(): proto.ExecutePlanResponse = synchronized {
     // hasNext will trigger reattach in case the stream completed without resultComplete
@@ -102,15 +102,7 @@ class ExecutePlanResponseReattachableIterator(
 
     try {
       // Get next response, possibly triggering reattach in case of stream error.
-      var firstTry = true
       val ret = retry {
-        if (firstTry) {
-          // on first try, we use the existing iter.
-          firstTry = false
-        } else {
-          // on retry, the iter is borked, so we need a new one
-          iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
-        }
         callIter(_.next())
       }
 
@@ -134,23 +126,15 @@ class ExecutePlanResponseReattachableIterator(
       // After response complete response
       return false
     }
-    var firstTry = true
     try {
       retry {
-        if (firstTry) {
-          // on first try, we use the existing iter.
-          firstTry = false
-        } else {
-          // on retry, the iter is borked, so we need a new one
-          iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
-        }
         var hasNext = callIter(_.hasNext())
         // Graceful reattach:
         // If iter ended, but there was no ResultComplete, it means that there is more,
         // and we need to reattach.
         if (!hasNext && !resultComplete) {
           do {
-            iter = rawBlockingStub.reattachExecute(createReattachExecuteRequest())
+            iter = None // unset iterator for new ReattachExecute to be called in _call_iter
             assert(!resultComplete) // shouldn't change...
             hasNext = callIter(_.hasNext())
             // It's possible that the new iter will be empty, so we need to loop to get another.
@@ -208,7 +192,10 @@ class ExecutePlanResponseReattachableIterator(
    */
   private def callIter[V](iterFun: java.util.Iterator[proto.ExecutePlanResponse] => V) = {
     try {
-      iterFun(iter)
+      if (iter.isEmpty) {
+        iter = Some(rawBlockingStub.reattachExecute(createReattachExecuteRequest()))
+      }
+      iterFun(iter.get)
     } catch {
       case ex: StatusRuntimeException
           if Option(StatusProto.fromThrowable(ex))
@@ -219,8 +206,12 @@ class ExecutePlanResponseReattachableIterator(
             ex)
         }
         // Try a new ExecutePlan, and throw upstream for retry.
-        iter = rawBlockingStub.executePlan(initialRequest)
+        iter = Some(rawBlockingStub.executePlan(initialRequest))
         throw new GrpcRetryHandler.RetryException
+      case NonFatal(e) =>
+        // Remove the iterator, so that a new one will be created after retry.
+        iter = None
+        throw e
     }
   }
 
diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index c6b1beaa121b8..d3765fb669665 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -131,15 +131,6 @@ def _has_next(self) -> bool:
                     can_retry=SparkConnectClient.retry_exception, **self._retry_policy
                 ):
                     with attempt:
-                        # on first try, we use the existing iterator.
-                        if not attempt.is_first_try():
-                            # on retry, the iterator is borked, so we need a new one
-                            self._iterator = iter(
-                                self._stub.ReattachExecute(
-                                    self._create_reattach_execute_request(), metadata=self._metadata
-                                )
-                            )
-
                         if self._current is None:
                             try:
                                 self._current = self._call_iter(lambda: next(self._iterator))
@@ -154,12 +145,8 @@ def _has_next(self) -> bool:
                         # arrive, we keep reattaching.
                         if not self._result_complete and not has_next:
                             while not has_next:
-                                self._iterator = iter(
-                                    self._stub.ReattachExecute(
-                                        self._create_reattach_execute_request(),
-                                        metadata=self._metadata,
-                                    )
-                                )
+                                # unset iterator for new ReattachExecute to be called in _call_iter
+                                self._iterator = None
                                 # shouldn't change
                                 assert not self._result_complete
                                 try:
@@ -238,6 +225,14 @@ def _call_iter(self, iter_fun: Callable) -> Any:
 
         Called inside retry block, so retryable failure will get handled upstream.
         """
+        if self._iterator is None:
+            # we get a new iterator with ReattachExecute if it was unset.
+            self._iterator = iter(
+                self._stub.ReattachExecute(
+                    self._create_reattach_execute_request(), metadata=self._metadata
+                )
+            )
+
         try:
             return iter_fun()
         except grpc.RpcError as e:
@@ -255,7 +250,13 @@ def _call_iter(self, iter_fun: Callable) -> Any:
                 )
                 raise RetryException()
             else:
+                # Remove the iterator, so that a new one will be created after retry.
+                self._iterator = None
                 raise e
+        except Exception as e:
+            # Remove the iterator, so that a new one will be created after retry.
+            self._iterator = None
+            raise e
 
     def _create_reattach_execute_request(self) -> pb2.ReattachExecuteRequest:
         reattach = pb2.ReattachExecuteRequest(

From 9b750e930357eae092420f09ca9366e49dc589e2 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Wed, 6 Sep 2023 10:32:37 +0300
Subject: [PATCH 361/986] [SPARK-45079][SQL] Fix an internal error from
 `percentile_approx()`on `NULL` accuracy

### What changes were proposed in this pull request?
In the PR, I propose to check the `accuracy` argument is not a NULL in `ApproximatePercentile`. And if it is, throw an `AnalysisException` with new error class `DATATYPE_MISMATCH.UNEXPECTED_NULL`.

### Why are the changes needed?
To fix the issue demonstrated by the example:
```sql
$ spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
[INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. You hit a bug in Spark or the Spark plugins you use. Please, report this bug to the corresponding communities or vendors, and provide the full stack trace.
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
By running new test:
```
$ build/sbt "test:testOnly *.ApproximatePercentileQuerySuite"
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42817 from MaxGekk/fix-internal-error-in-percentile_approx.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 24b29adcf53616067a9fa2ca201e3f4d2f54436b)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../aggregate/ApproximatePercentile.scala     |  7 ++++-
 .../sql/ApproximatePercentileQuerySuite.scala | 31 +++++++++++++++++++
 2 files changed, 37 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
index 3c3afc1c7e768..5b44c3fa31bc7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
@@ -97,7 +97,8 @@ case class ApproximatePercentile(
   }
 
   // Mark as lazy so that accuracyExpression is not evaluated during tree transformation.
-  private lazy val accuracy: Long = accuracyExpression.eval().asInstanceOf[Number].longValue
+  private lazy val accuracyNum = accuracyExpression.eval().asInstanceOf[Number]
+  private lazy val accuracy: Long = accuracyNum.longValue
 
   override def inputTypes: Seq[AbstractDataType] = {
     // Support NumericType, DateType, TimestampType and TimestampNTZType since their internal types
@@ -138,6 +139,10 @@ case class ApproximatePercentile(
           "inputExpr" -> toSQLExpr(accuracyExpression)
         )
       )
+    } else if (accuracyNum == null) {
+      DataTypeMismatch(
+        errorSubClass = "UNEXPECTED_NULL",
+        messageParameters = Map("exprName" -> "accuracy"))
     } else if (accuracy <= 0 || accuracy > Int.MaxValue) {
       DataTypeMismatch(
         errorSubClass = "VALUE_OUT_OF_RANGE",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ApproximatePercentileQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ApproximatePercentileQuerySuite.scala
index 18e8dd6249b18..273e8e08fd7a5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ApproximatePercentileQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ApproximatePercentileQuerySuite.scala
@@ -339,4 +339,35 @@ class ApproximatePercentileQuerySuite extends QueryTest with SharedSparkSession
           Row(Period.ofMonths(200).normalized(), null, Duration.ofSeconds(200L)))
     }
   }
+
+  test("SPARK-45079: NULL arguments of percentile_approx") {
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql(
+          """
+            |SELECT percentile_approx(col, array(0.5, 0.4, 0.1), NULL)
+            |FROM VALUES (0), (1), (2), (10) AS tab(col);
+            |""".stripMargin).collect()
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_NULL",
+      parameters = Map(
+        "exprName" -> "accuracy",
+        "sqlExpr" -> "\"percentile_approx(col, array(0.5, 0.4, 0.1), NULL)\""),
+      context = ExpectedContext(
+        "", "", 8, 57, "percentile_approx(col, array(0.5, 0.4, 0.1), NULL)"))
+    checkError(
+      exception = intercept[AnalysisException] {
+        sql(
+          """
+            |SELECT percentile_approx(col, NULL, 100)
+            |FROM VALUES (0), (1), (2), (10) AS tab(col);
+            |""".stripMargin).collect()
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_NULL",
+      parameters = Map(
+        "exprName" -> "percentage",
+        "sqlExpr" -> "\"percentile_approx(col, NULL, 100)\""),
+      context = ExpectedContext(
+        "", "", 8, 40, "percentile_approx(col, NULL, 100)"))
+  }
 }

From c98ade32386ff396c706cab7ece4d287e4b58453 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 6 Sep 2023 16:48:54 +0900
Subject: [PATCH 362/986] [SPARK-44833][CONNECT][PYTHON][FOLLOW-UP] Fix the
 type annotation for iterator at reattach.py

### What changes were proposed in this pull request?

This PR fixes the type hint of `self._iterator` at `reattach.py` to be `Optional` because `None` is assigned here.

### Why are the changes needed?

To fix the CI:

```
starting mypy annotations test...
annotations failed mypy checks:
python/pyspark/sql/connect/client/reattach.py:149: error: Incompatible types in assignment (expression has type "None", variable has type "Iterator[ExecutePlanResponse]")  [assignment]
python/pyspark/sql/connect/client/reattach.py:254: error: Incompatible types in assignment (expression has type "None", variable has type "Iterator[ExecutePlanResponse]")  [assignment]
python/pyspark/sql/connect/client/reattach.py:[25](https://github.com/apache/spark/actions/runs/6093065151/job/16532169212#step:19:26)8: error: Incompatible types in assignment (expression has type "None", variable has type "Iterator[ExecutePlanResponse]")  [assignment]
Found 3 errors in 1 file (checked 703 source files)
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually ran the script of `./dev/lint-python`

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42830 from HyukjinKwon/SPARK-44833-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 48872d4b3938fd82c4d753549787f6e7c62cce7e)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/reattach.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index d3765fb669665..7e1e722d5fd8a 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -94,7 +94,7 @@ def __init__(
         # Note: This is not retried, because no error would ever be thrown here, and GRPC will only
         # throw error on first self._has_next().
         self._metadata = metadata
-        self._iterator: Iterator[pb2.ExecutePlanResponse] = iter(
+        self._iterator: Optional[Iterator[pb2.ExecutePlanResponse]] = iter(
             self._stub.ExecutePlan(self._initial_request, metadata=metadata)
         )
 
@@ -133,7 +133,9 @@ def _has_next(self) -> bool:
                     with attempt:
                         if self._current is None:
                             try:
-                                self._current = self._call_iter(lambda: next(self._iterator))
+                                self._current = self._call_iter(
+                                    lambda: next(self._iterator)  # type: ignore[arg-type]
+                                )
                             except StopIteration:
                                 pass
 
@@ -150,7 +152,9 @@ def _has_next(self) -> bool:
                                 # shouldn't change
                                 assert not self._result_complete
                                 try:
-                                    self._current = self._call_iter(lambda: next(self._iterator))
+                                    self._current = self._call_iter(
+                                        lambda: next(self._iterator)  # type: ignore[arg-type]
+                                    )
                                 except StopIteration:
                                     pass
                                 has_next = self._current is not None

From 916b6f51af213da1fa608231ffdad97004fcbd74 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Thu, 7 Sep 2023 09:02:38 +0900
Subject: [PATCH 363/986] [SPARK-45050][SQL][CONNECT] Improve error message for
 UNKNOWN io.grpc.StatusRuntimeException

### What changes were proposed in this pull request?

- Improve error message for UNKNOWN io.grpc.StatusRuntimeException

Before:
```
[info] - handle unknown exception *** FAILED *** (15 milliseconds)
[info]   org.apache.spark.SparkException:
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$.toThrowable(GrpcExceptionConverter.scala:110)
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$.convert(GrpcExceptionConverter.scala:41)
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$$anon$1.hasNext(GrpcExceptionConverter.scala:49)
[info]   at org.apache.spark.sql.connect.client.SparkResult.org$apache$spark$sql$connect$client$SparkResult$$processResponses(SparkResult.scala:83)
[info]   at org.apache.spark.sql.connect.client.SparkResult.length(SparkResult.scala:153)
[info]   at org.apache.spark.sql.connect.client.SparkResult.toArray(SparkResult.scala:183)
[info]   at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2910)
[info]   at org.apache.spark.sql.Dataset.withResult(Dataset.scala:3350)
[info]   at org.apache.spark.sql.Dataset.collect(Dataset.scala:2909)
[info]   at org.apache.spark.sql.ClientE2ETestSuite.$anonfun$new$19(ClientE2ETestSuite.scala:118)
```
After:
```
[info] - handle unknown exception *** FAILED *** (21 milliseconds)
[info]   org.apache.spark.SparkException: io.grpc.StatusRuntimeException: UNKNOWN
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$.toThrowable(GrpcExceptionConverter.scala:110)
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$.convert(GrpcExceptionConverter.scala:41)
[info]   at org.apache.spark.sql.connect.client.GrpcExceptionConverter$$anon$1.hasNext(GrpcExceptionConverter.scala:49)
[info]   at org.apache.spark.sql.connect.client.SparkResult.org$apache$spark$sql$connect$client$SparkResult$$processResponses(SparkResult.scala:83)
[info]   at org.apache.spark.sql.connect.client.SparkResult.length(SparkResult.scala:153)
[info]   at org.apache.spark.sql.connect.client.SparkResult.toArray(SparkResult.scala:183)
[info]   at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2910)
[info]   at org.apache.spark.sql.Dataset.withResult(Dataset.scala:3350)
[info]   at org.apache.spark.sql.Dataset.collect(Dataset.scala:2909)
[info]   at org.apache.spark.sql.ClientE2ETestSuite.$anonfun$new$19(ClientE2ETestSuite.scala:118)
```

### Why are the changes needed?

- Better readability of the exception message

### Does this PR introduce _any_ user-facing change?

- No

### How was this patch tested?

- build/sbt "connect-client-jvm/testOnly *ClientE2ETestSuite"

### Was this patch authored or co-authored using generative AI tooling?

Closes #42771 from heyihong/SPARK-45050.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e82805da876672f7e9447ec54e66175f84ea3d36)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/ClientE2ETestSuite.scala    | 12 ++++++++++++
 .../sql/connect/client/GrpcExceptionConverter.scala  |  2 +-
 2 files changed, 13 insertions(+), 1 deletion(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index fd443b739250d..df36b53791a81 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -109,6 +109,18 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     assert(df.collect().length == 501)
   }
 
+  test("handle unknown exception") {
+    var df = spark.range(1)
+    val limit = spark.conf.get("spark.connect.grpc.marshallerRecursionLimit").toInt + 1
+    for (a <- 1 to limit) {
+      df = df.union(spark.range(a, a + 1))
+    }
+    val ex = intercept[SparkException] {
+      df.collect()
+    }
+    assert(ex.getMessage.contains("io.grpc.StatusRuntimeException: UNKNOWN"))
+  }
+
   test("many tables") {
     withSQLConf("spark.sql.execution.arrow.maxRecordsPerBatch" -> "10") {
       val numTables = 20
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index 672d31be954bd..c430485bd4184 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -107,7 +107,7 @@ private[client] object GrpcExceptionConverter extends JsonUtils {
   private def toThrowable(ex: StatusRuntimeException): Throwable = {
     val status = StatusProto.fromThrowable(ex)
 
-    val fallbackEx = new SparkException(status.getMessage, ex.getCause)
+    val fallbackEx = new SparkException(ex.toString, ex.getCause)
 
     val errorInfoOpt = status.getDetailsList.asScala
       .find(_.is(classOf[ErrorInfo]))

From a9d601cf35706c61e30ef1f1daae34a51e6bb3b0 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Thu, 7 Sep 2023 10:42:20 +0900
Subject: [PATCH 364/986] [SPARK-44640][PYTHON][FOLLOW-UP][3.5] Update UDTF
 error messages to include method name

(cherry picked from commit 3e22c8653d728a6b8523051faddcca437accfc22)

### What changes were proposed in this pull request?

This PR is a follow-up for SPARK-44640 to make the error message of a few UDTF errors more informative by including the method name in the error message (`eval` or `terminate`).

### Why are the changes needed?

To improve error messages.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42840 from allisonwang-db/spark-44640-follow-up-3.5.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/errors/error_classes.py |  8 +++---
 python/pyspark/sql/tests/test_udtf.py  | 21 +++++++++++++++
 python/pyspark/worker.py               | 37 +++++++++++++++++++-------
 3 files changed, 52 insertions(+), 14 deletions(-)

diff --git a/python/pyspark/errors/error_classes.py b/python/pyspark/errors/error_classes.py
index 4709f01ba0664..0fbe489f623c2 100644
--- a/python/pyspark/errors/error_classes.py
+++ b/python/pyspark/errors/error_classes.py
@@ -244,7 +244,7 @@
   },
   "INVALID_ARROW_UDTF_RETURN_TYPE" : {
     "message" : [
-      "The return type of the arrow-optimized Python UDTF should be of type 'pandas.DataFrame', but the function returned a value of type <type_name> with value: <value>."
+      "The return type of the arrow-optimized Python UDTF should be of type 'pandas.DataFrame', but the '<func>' method returned a value of type <type_name> with value: <value>."
     ]
   },
   "INVALID_BROADCAST_OPERATION": {
@@ -730,17 +730,17 @@
   },
   "UDTF_INVALID_OUTPUT_ROW_TYPE" : {
     "message" : [
-        "The type of an individual output row in the UDTF is invalid. Each row should be a tuple, list, or dict, but got '<type>'. Please make sure that the output rows are of the correct type."
+        "The type of an individual output row in the '<func>' method of the UDTF is invalid. Each row should be a tuple, list, or dict, but got '<type>'. Please make sure that the output rows are of the correct type."
     ]
   },
   "UDTF_RETURN_NOT_ITERABLE" : {
     "message" : [
-      "The return value of the UDTF is invalid. It should be an iterable (e.g., generator or list), but got '<type>'. Please make sure that the UDTF returns one of these types."
+      "The return value of the '<func>' method of the UDTF is invalid. It should be an iterable (e.g., generator or list), but got '<type>'. Please make sure that the UDTF returns one of these types."
     ]
   },
   "UDTF_RETURN_SCHEMA_MISMATCH" : {
     "message" : [
-      "The number of columns in the result does not match the specified schema. Expected column count: <expected>, Actual column count: <actual>. Please make sure the values returned by the function have the same number of columns as specified in the output schema."
+      "The number of columns in the result does not match the specified schema. Expected column count: <expected>, Actual column count: <actual>. Please make sure the values returned by the '<func>' method have the same number of columns as specified in the output schema."
     ]
   },
   "UDTF_RETURN_TYPE_MISMATCH" : {
diff --git a/python/pyspark/sql/tests/test_udtf.py b/python/pyspark/sql/tests/test_udtf.py
index 1ff9e55dd7854..944ce6d85b8d6 100644
--- a/python/pyspark/sql/tests/test_udtf.py
+++ b/python/pyspark/sql/tests/test_udtf.py
@@ -164,6 +164,27 @@ def eval(self, a):
         with self.assertRaisesRegex(PythonException, "UDTF_RETURN_NOT_ITERABLE"):
             TestUDTF(lit(1)).collect()
 
+    def test_udtf_with_zero_arg_and_invalid_return_value(self):
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def eval(self):
+                return 1
+
+        with self.assertRaisesRegex(PythonException, "UDTF_RETURN_NOT_ITERABLE"):
+            TestUDTF().collect()
+
+    def test_udtf_with_invalid_return_value_in_terminate(self):
+        @udtf(returnType="x: int")
+        class TestUDTF:
+            def eval(self, a):
+                ...
+
+            def terminate(self):
+                return 1
+
+        with self.assertRaisesRegex(PythonException, "UDTF_RETURN_NOT_ITERABLE"):
+            TestUDTF(lit(1)).collect()
+
     def test_udtf_eval_with_no_return(self):
         @udtf(returnType="a: int")
         class TestUDTF:
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index d2ea18c45c92b..90b11d0623166 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -655,6 +655,7 @@ def verify_result(result):
                         message_parameters={
                             "type_name": type(result).__name__,
                             "value": str(result),
+                            "func": f.__name__,
                         },
                     )
 
@@ -669,6 +670,7 @@ def verify_result(result):
                             message_parameters={
                                 "expected": str(return_type_size),
                                 "actual": str(len(result.columns)),
+                                "func": f.__name__,
                             },
                         )
 
@@ -688,22 +690,30 @@ def func(*args: Any) -> Any:
                         message_parameters={"method_name": f.__name__, "error": str(e)},
                     )
 
+            def check_return_value(res):
+                # Check whether the result of an arrow UDTF is iterable before
+                # using it to construct a pandas DataFrame.
+                if res is not None and not isinstance(res, Iterable):
+                    raise PySparkRuntimeError(
+                        error_class="UDTF_RETURN_NOT_ITERABLE",
+                        message_parameters={
+                            "type": type(res).__name__,
+                            "func": f.__name__,
+                        },
+                    )
+
             def evaluate(*args: pd.Series):
                 if len(args) == 0:
-                    yield verify_result(pd.DataFrame(func())), arrow_return_type
+                    res = func()
+                    check_return_value(res)
+                    yield verify_result(pd.DataFrame(res)), arrow_return_type
                 else:
                     # Create tuples from the input pandas Series, each tuple
                     # represents a row across all Series.
                     row_tuples = zip(*args)
                     for row in row_tuples:
                         res = func(*row)
-                        if res is not None and not isinstance(res, Iterable):
-                            raise PySparkRuntimeError(
-                                error_class="UDTF_RETURN_NOT_ITERABLE",
-                                message_parameters={
-                                    "type": type(res).__name__,
-                                },
-                            )
+                        check_return_value(res)
                         yield verify_result(pd.DataFrame(res)), arrow_return_type
 
             return evaluate
@@ -742,13 +752,17 @@ def verify_and_convert_result(result):
                             message_parameters={
                                 "expected": str(return_type_size),
                                 "actual": str(len(result)),
+                                "func": f.__name__,
                             },
                         )
 
                     if not (isinstance(result, (list, dict, tuple)) or hasattr(result, "__dict__")):
                         raise PySparkRuntimeError(
                             error_class="UDTF_INVALID_OUTPUT_ROW_TYPE",
-                            message_parameters={"type": type(result).__name__},
+                            message_parameters={
+                                "type": type(result).__name__,
+                                "func": f.__name__,
+                            },
                         )
 
                 return toInternal(result)
@@ -772,7 +786,10 @@ def evaluate(*a) -> tuple:
                 if not isinstance(res, Iterable):
                     raise PySparkRuntimeError(
                         error_class="UDTF_RETURN_NOT_ITERABLE",
-                        message_parameters={"type": type(res).__name__},
+                        message_parameters={
+                            "type": type(res).__name__,
+                            "func": f.__name__,
+                        },
                     )
 
                 # If the function returns a result, we map it to the internal representation and

From 3ceec3b9c9502ba8ed5d83b45a3e33ab814409bb Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Thu, 7 Sep 2023 10:48:28 +0900
Subject: [PATCH 365/986] [SPARK-44835][CONNECT] Make
 INVALID_CURSOR.DISCONNECTED a retriable error

### What changes were proposed in this pull request?

Make INVALID_CURSOR.DISCONNECTED a retriable error.

### Why are the changes needed?

This error can happen if two RPCs are racing to reattach to the query, and the client is still using the losing one. SPARK-44833 was a bug that exposed such a situation. That was fixed, but to be more robust, we can make this error retryable.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Tests will be added in https://github.com/apache/spark/pull/42560

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42818 from juliuszsompolski/SPARK-44835.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f13743de04e430e59c4eaeca464447608bd32b1d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/connect/client/GrpcRetryHandler.scala | 17 +++++++++-
 python/pyspark/sql/connect/client/core.py     | 31 +++++++++++++++++--
 2 files changed, 44 insertions(+), 4 deletions(-)

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index a6841e7f1182e..8791530607c3a 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -217,7 +217,22 @@ private[sql] object GrpcRetryHandler extends Logging {
    */
   private[client] def retryException(e: Throwable): Boolean = {
     e match {
-      case e: StatusRuntimeException => e.getStatus.getCode == Status.Code.UNAVAILABLE
+      case e: StatusRuntimeException =>
+        val statusCode: Status.Code = e.getStatus.getCode
+
+        if (statusCode == Status.Code.INTERNAL) {
+          val msg: String = e.toString
+
+          // This error happens if another RPC preempts this RPC.
+          if (msg.contains("INVALID_CURSOR.DISCONNECTED")) {
+            return true
+          }
+        }
+
+        if (statusCode == Status.Code.UNAVAILABLE) {
+          return true
+        }
+        false
       case _ => false
     }
   }
diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 4b8a2348adc9d..7b3299d123b97 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -585,11 +585,36 @@ class SparkConnectClient(object):
 
     @classmethod
     def retry_exception(cls, e: Exception) -> bool:
-        if isinstance(e, grpc.RpcError):
-            return e.code() == grpc.StatusCode.UNAVAILABLE
-        else:
+        """
+        Helper function that is used to identify if an exception thrown by the server
+        can be retried or not.
+
+        Parameters
+        ----------
+        e : Exception
+            The GRPC error as received from the server. Typed as Exception, because other exception
+            thrown during client processing can be passed here as well.
+
+        Returns
+        -------
+        True if the exception can be retried, False otherwise.
+
+        """
+        if not isinstance(e, grpc.RpcError):
             return False
 
+        if e.code() in [grpc.StatusCode.INTERNAL]:
+            msg = str(e)
+
+            # This error happens if another RPC preempts this RPC.
+            if "INVALID_CURSOR.DISCONNECTED" in msg:
+                return True
+
+        if e.code() == grpc.StatusCode.UNAVAILABLE:
+            return True
+
+        return False
+
     def __init__(
         self,
         connection: Union[str, ChannelBuilder],

From 959d93aa9bebde1d081afd5d2f2ad60aec907c31 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 8 Sep 2023 14:25:51 +0900
Subject: [PATCH 366/986] [SPARK-44508][PYTHON][DOCS] Add user guide for Python
 user-defined table functions

### What changes were proposed in this pull request?

This PR adds a user guide for Python user-defined table functions (UDTFs) introduced in Spark 3.5.
<img width="468" alt="Screenshot 2023-08-04 at 14 46 13" src="https://github.com/apache/spark/assets/66282705/11f5dc5e-681b-4677-a466-1a23c0b8dd01">

### Why are the changes needed?

To help users write Python UDTFs.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

docs test

Closes #42272 from allisonwang-db/spark-44508-udtf-user-guide.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit aaf413ce351dd716096333df140f45f7f1bd5dd6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 examples/src/main/python/sql/udtf.py          | 240 ++++++++++++++++++
 python/docs/source/user_guide/sql/index.rst   |   1 +
 .../source/user_guide/sql/python_udtf.rst     | 233 +++++++++++++++++
 python/mypy.ini                               |   6 +
 python/pyspark/sql/functions.py               |   7 -
 5 files changed, 480 insertions(+), 7 deletions(-)
 create mode 100644 examples/src/main/python/sql/udtf.py
 create mode 100644 python/docs/source/user_guide/sql/python_udtf.rst

diff --git a/examples/src/main/python/sql/udtf.py b/examples/src/main/python/sql/udtf.py
new file mode 100644
index 0000000000000..768eb73566ee5
--- /dev/null
+++ b/examples/src/main/python/sql/udtf.py
@@ -0,0 +1,240 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+A simple example demonstrating Python UDTFs in Spark
+Run with:
+  ./bin/spark-submit examples/src/main/python/sql/udtf.py
+"""
+
+# NOTE that this file is imported in the User Guides in PySpark documentation.
+# The codes are referred via line numbers. See also `literalinclude` directive in Sphinx.
+from pyspark.sql import SparkSession
+from pyspark.sql.pandas.utils import require_minimum_pandas_version, require_minimum_pyarrow_version
+
+# Python UDTFs use Arrow by default.
+require_minimum_pandas_version()
+require_minimum_pyarrow_version()
+
+
+def python_udtf_simple_example(spark: SparkSession) -> None:
+
+    # Define the UDTF class and implement the required `eval` method.
+    class SquareNumbers:
+        def eval(self, start: int, end: int):
+            for num in range(start, end + 1):
+                yield (num, num * num)
+
+    from pyspark.sql.functions import lit, udtf
+
+    # Create a UDTF using the class definition and the `udtf` function.
+    square_num = udtf(SquareNumbers, returnType="num: int, squared: int")
+
+    # Invoke the UDTF in PySpark.
+    square_num(lit(1), lit(3)).show()
+    # +---+-------+
+    # |num|squared|
+    # +---+-------+
+    # |  1|      1|
+    # |  2|      4|
+    # |  3|      9|
+    # +---+-------+
+
+
+def python_udtf_decorator_example(spark: SparkSession) -> None:
+
+    from pyspark.sql.functions import lit, udtf
+
+    # Define a UDTF using the `udtf` decorator directly on the class.
+    @udtf(returnType="num: int, squared: int")
+    class SquareNumbers:
+        def eval(self, start: int, end: int):
+            for num in range(start, end + 1):
+                yield (num, num * num)
+
+    # Invoke the UDTF in PySpark using the SquareNumbers class directly.
+    SquareNumbers(lit(1), lit(3)).show()
+    # +---+-------+
+    # |num|squared|
+    # +---+-------+
+    # |  1|      1|
+    # |  2|      4|
+    # |  3|      9|
+    # +---+-------+
+
+
+def python_udtf_registration(spark: SparkSession) -> None:
+
+    from pyspark.sql.functions import udtf
+
+    @udtf(returnType="word: string")
+    class WordSplitter:
+        def eval(self, text: str):
+            for word in text.split(" "):
+                yield (word.strip(),)
+
+    # Register the UDTF for use in Spark SQL.
+    spark.udtf.register("split_words", WordSplitter)
+
+    # Example: Using the UDTF in SQL.
+    spark.sql("SELECT * FROM split_words('hello world')").show()
+    # +-----+
+    # | word|
+    # +-----+
+    # |hello|
+    # |world|
+    # +-----+
+
+    # Example: Using the UDTF with a lateral join in SQL.
+    # The lateral join allows us to reference the columns and aliases
+    # in the previous FROM clause items as inputs to the UDTF.
+    spark.sql(
+        "SELECT * FROM VALUES ('Hello World'), ('Apache Spark') t(text), "
+        "LATERAL split_words(text)"
+    ).show()
+    # +------------+------+
+    # |        text|  word|
+    # +------------+------+
+    # | Hello World| Hello|
+    # | Hello World| World|
+    # |Apache Spark|Apache|
+    # |Apache Spark| Spark|
+    # +------------+------+
+
+
+def python_udtf_arrow_example(spark: SparkSession) -> None:
+
+    from pyspark.sql.functions import udtf
+
+    @udtf(returnType="c1: int, c2: int", useArrow=True)
+    class PlusOne:
+        def eval(self, x: int):
+            yield x, x + 1
+
+
+def python_udtf_date_expander_example(spark: SparkSession) -> None:
+
+    from datetime import datetime, timedelta
+    from pyspark.sql.functions import lit, udtf
+
+    @udtf(returnType="date: string")
+    class DateExpander:
+        def eval(self, start_date: str, end_date: str):
+            current = datetime.strptime(start_date, '%Y-%m-%d')
+            end = datetime.strptime(end_date, '%Y-%m-%d')
+            while current <= end:
+                yield (current.strftime('%Y-%m-%d'),)
+                current += timedelta(days=1)
+
+    DateExpander(lit("2023-02-25"), lit("2023-03-01")).show()
+    # +----------+
+    # |      date|
+    # +----------+
+    # |2023-02-25|
+    # |2023-02-26|
+    # |2023-02-27|
+    # |2023-02-28|
+    # |2023-03-01|
+    # +----------+
+
+
+def python_udtf_terminate_example(spark: SparkSession) -> None:
+
+    from pyspark.sql.functions import udtf
+
+    @udtf(returnType="cnt: int")
+    class CountUDTF:
+        def __init__(self):
+            # Initialize the counter to 0 when an instance of the class is created.
+            self.count = 0
+
+        def eval(self, x: int):
+            # Increment the counter by 1 for each input value received.
+            self.count += 1
+
+        def terminate(self):
+            # Yield the final count when the UDTF is done processing.
+            yield self.count,
+
+    spark.udtf.register("count_udtf", CountUDTF)
+    spark.sql("SELECT * FROM range(0, 10, 1, 1), LATERAL count_udtf(id)").show()
+    # +---+---+
+    # | id|cnt|
+    # +---+---+
+    # |  9| 10|
+    # +---+---+
+    spark.sql("SELECT * FROM range(0, 10, 1, 2), LATERAL count_udtf(id)").show()
+    # +---+---+
+    # | id|cnt|
+    # +---+---+
+    # |  4|  5|
+    # |  9|  5|
+    # +---+---+
+
+
+def python_udtf_table_argument(spark: SparkSession) -> None:
+
+    from pyspark.sql.functions import udtf
+    from pyspark.sql.types import Row
+
+    @udtf(returnType="id: int")
+    class FilterUDTF:
+        def eval(self, row: Row):
+            if row["id"] > 5:
+                yield row["id"],
+
+    spark.udtf.register("filter_udtf", FilterUDTF)
+
+    spark.sql("SELECT * FROM filter_udtf(TABLE(SELECT * FROM range(10)))").show()
+    # +---+
+    # | id|
+    # +---+
+    # |  6|
+    # |  7|
+    # |  8|
+    # |  9|
+    # +---+
+
+
+if __name__ == "__main__":
+    spark = SparkSession \
+        .builder \
+        .appName("Python UDTF example") \
+        .getOrCreate()
+
+    print("Running Python UDTF single example")
+    python_udtf_simple_example(spark)
+
+    print("Running Python UDTF decorator example")
+    python_udtf_decorator_example(spark)
+
+    print("Running Python UDTF registration example")
+    python_udtf_registration(spark)
+
+    print("Running Python UDTF arrow example")
+    python_udtf_arrow_example(spark)
+
+    print("Running Python UDTF date expander example")
+    python_udtf_date_expander_example(spark)
+
+    print("Running Python UDTF terminate example")
+    python_udtf_terminate_example(spark)
+
+    print("Running Python UDTF table argument example")
+    python_udtf_table_argument(spark)
+
+    spark.stop()
diff --git a/python/docs/source/user_guide/sql/index.rst b/python/docs/source/user_guide/sql/index.rst
index 4cab99efa3585..c0369de67865b 100644
--- a/python/docs/source/user_guide/sql/index.rst
+++ b/python/docs/source/user_guide/sql/index.rst
@@ -24,4 +24,5 @@ Spark SQL
    :maxdepth: 2
 
    arrow_pandas
+   python_udtf
 
diff --git a/python/docs/source/user_guide/sql/python_udtf.rst b/python/docs/source/user_guide/sql/python_udtf.rst
new file mode 100644
index 0000000000000..0e583915c5828
--- /dev/null
+++ b/python/docs/source/user_guide/sql/python_udtf.rst
@@ -0,0 +1,233 @@
+..  Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+..    http://www.apache.org/licenses/LICENSE-2.0
+
+..  Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+===========================================
+Python User-defined Table Functions (UDTFs)
+===========================================
+
+Spark 3.5 introduces the Python user-defined table function (UDTF), a new type of user-defined function. 
+Unlike scalar functions that return a single result value from each call, each UDTF is invoked in 
+the ``FROM`` clause of a query and returns an entire table as output.
+Each UDTF call can accept zero or more arguments.
+These arguments can either be scalar expressions or table arguments that represent entire input tables.
+
+Implementing a Python UDTF
+--------------------------
+
+.. currentmodule:: pyspark.sql.functions
+
+To implement a Python UDTF, you first need to define a class implementing the methods:
+
+.. code-block:: python
+
+    class PythonUDTF:
+
+        def __init__(self) -> None:
+            """
+            Initializes the user-defined table function (UDTF). This is optional.
+
+            This method serves as the default constructor and is called once when the
+            UDTF is instantiated on the executor side.
+            
+            Any class fields assigned in this method will be available for subsequent
+            calls to the `eval` and `terminate` methods. This class instance will remain
+            alive until all rows in the current partition have been consumed by the `eval`
+            method.
+
+            Notes
+            -----
+            - This method does not accept any extra arguments. Only the default
+              constructor is supported.
+            - You cannot create or reference the Spark session within the UDTF. Any
+              attempt to do so will result in a serialization error.
+            """
+            ...
+
+        def eval(self, *args: Any) -> Iterator[Any]:
+            """
+            Evaluates the function using the given input arguments.
+
+            This method is required and must be implemented.
+
+            Argument Mapping:
+            - Each provided scalar expression maps to exactly one value in the
+              `*args` list.
+            - Each provided table argument maps to a pyspark.sql.Row object containing
+              the columns in the order they appear in the provided input table,
+              and with the names computed by the query analyzer.
+
+            This method is called on every input row, and can produce zero or more
+            output rows. Each element in the output tuple corresponds to one column
+            specified in the return type of the UDTF.
+
+            Parameters
+            ----------
+            *args : Any
+                Arbitrary positional arguments representing the input to the UDTF.
+
+            Yields
+            ------
+            tuple
+                A tuple representing a single row in the UDTF result table.
+                Yield as many times as needed to produce multiple rows.
+
+            Notes
+            -----
+            - The result of the function must be a tuple representing a single row
+              in the UDTF result table.
+            - UDTFs currently do not accept keyword arguments during the function call.
+
+            Examples
+            --------
+            eval that returns one row and one column for each input.
+
+            >>> def eval(self, x: int):
+            ...     yield (x, )
+
+            eval that returns two rows and two columns for each input.
+
+            >>> def eval(self, x: int, y: int):
+            ...     yield (x + y, x - y)
+            ...     yield (y + x, y - x)
+            """
+            ...
+
+        def terminate(self) -> Iterator[Any]:
+            """
+            Called when the UDTF has processed all input rows.
+
+            This method is optional to implement and is useful for performing any
+            cleanup or finalization operations after the UDTF has finished processing
+            all rows. It can also be used to yield additional rows if needed.
+            Table functions that consume all rows in the entire input partition
+            and then compute and return the entire output table can do so from
+            this method as well (please be mindful of memory usage when doing
+            this).
+
+            Yields
+            ------
+            tuple
+                A tuple representing a single row in the UDTF result table.
+                Yield this if you want to return additional rows during termination.
+
+            Examples
+            --------
+            >>> def terminate(self) -> Iterator[Any]:
+            >>>     yield "done", None
+            """
+            ...
+
+
+The return type of the UDTF defines the schema of the table it outputs. 
+It must be either a ``StructType``, for example ``StructType().add("c1", StringType())``
+or a DDL string representing a struct type, for example ``c1: string``.
+
+**Example of UDTF Class Implementation**
+
+Here is a simple example of a UDTF class implementation:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 36-40
+    :dedent: 4
+
+
+**Instantiating a UDTF with the ``udtf`` Decorator**
+
+To make use of the UDTF, you'll first need to instantiate it using the ``@udtf`` decorator:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 42-55
+    :dedent: 4
+
+
+**Instantiating a UDTF with the ``udtf`` Function**
+
+An alternative way to create a UDTF is to use the :func:`udtf` function:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 60-77
+    :dedent: 4
+
+For more detailed usage, please see :func:`udtf`.
+
+
+Registering and Using Python UDTFs in SQL
+-----------------------------------------
+
+Python UDTFs can also be registered and used in SQL queries.
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 82-116
+    :dedent: 4
+
+
+Arrow Optimization
+------------------
+Apache Arrow is an in-memory columnar data format used in Spark to efficiently transfer
+data between Java and Python processes. Apache Arrow is disabled by default for Python UDTFs.
+
+Arrow can improve performance when each input row generates a large result table from the UDTF.
+
+To enable Arrow optimization, set the ``spark.sql.execution.pythonUDTF.arrow.enabled``
+configuration to ``true``. You can also enable it by specifying the ``useArrow`` parameter
+when declaring the UDTF.
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 121-126
+    :dedent: 4
+
+
+For more details, please see `Apache Arrow in PySpark <../arrow_pandas.rst>`_.
+
+
+TABLE input argument
+~~~~~~~~~~~~~~~~~~~~
+Python UDTFs can also take a TABLE as input argument, and it can be used in conjunction 
+with scalar input arguments.
+By default, you are allowed to have only one TABLE argument as input, primarily for 
+performance reasons. If you need to have more than one TABLE input argument, 
+you can enable this by setting the ``spark.sql.tvf.allowMultipleTableArguments.enabled``
+configuration to ``true``.
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 191-210
+    :dedent: 4
+
+
+More Examples
+-------------
+
+A Python UDTF that expands date ranges into individual dates:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 131-152
+    :dedent: 4
+
+
+A Python UDTF with ``__init__`` and ``terminate``:
+
+.. literalinclude:: ../../../../../examples/src/main/python/sql/udtf.py
+    :language: python
+    :lines: 157-186
+    :dedent: 4
diff --git a/python/mypy.ini b/python/mypy.ini
index 4d1fc3ceb668e..3443af9a86503 100644
--- a/python/mypy.ini
+++ b/python/mypy.ini
@@ -80,6 +80,12 @@ disallow_untyped_defs = False
 [mypy-pyspark.worker]
 disallow_untyped_defs = False
 
+; Allow untyped def and disable certain error codes in examples
+
+[mypy-python.sql.udtf]
+disallow_untyped_defs = False
+disable_error_code = attr-defined,arg-type,call-arg,union-attr
+
 ; Ignore errors in tests
 
 [mypy-pyspark.ml.tests.*]
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 1fe2f7d40a2c1..06cb3063d1b16 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -15848,13 +15848,6 @@ def udtf(
     Use "yield" to produce one row for the UDTF result relation as many times
     as needed. In the context of a lateral join, each such result row will be
     associated with the most recent input row consumed from the "eval" method.
-    Or, use "return" to produce multiple rows for the UDTF result relation at
-    once.
-
-    >>> class TestUDTF:
-    ...     def eval(self, a: int):
-    ...         return [(a, a + 1), (a, a + 2)]
-    >>> test_udtf = udtf(TestUDTF, returnType="x: int, y: int")
 
     User-defined table functions are considered opaque to the optimizer by default.
     As a result, operations like filters from WHERE clauses or limits from

From 8f730e779ff64773beb20ad633151e866cfff7f2 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Fri, 8 Sep 2023 11:12:54 +0300
Subject: [PATCH 367/986] [SPARK-45100][SQL] Fix an internal error from
 `reflect()`on `NULL` class and method

### What changes were proposed in this pull request?
In the PR, I propose to check that the `class` and `method` arguments are not a NULL in `CallMethodViaReflection`. And if they are, throw an `AnalysisException` with new error class `DATATYPE_MISMATCH.UNEXPECTED_NULL`.

### Why are the changes needed?
To fix the issue demonstrated by the example:
```sql
$ spark-sql (default)> select reflect('java.util.UUID', CAST(NULL AS STRING));
[INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. You hit a bug in Spark or the Spark plugins you use. Please, report this bug to the corresponding communities or vendors, and provide the full stack trace.
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
By running new test:
```
$ build/sbt "test:testOnly *.MiscFunctionsSuite"
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42849 from MaxGekk/fix-internal-error-in-reflect.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit fd424caf6c46e7030ac2deb2afbe3f4a5fc1095c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../expressions/CallMethodViaReflection.scala |  8 ++++++++
 .../apache/spark/sql/MiscFunctionsSuite.scala | 20 +++++++++++++++++++
 2 files changed, 28 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CallMethodViaReflection.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CallMethodViaReflection.scala
index 52b057a327623..4511b5b548d72 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CallMethodViaReflection.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CallMethodViaReflection.scala
@@ -78,6 +78,10 @@ case class CallMethodViaReflection(children: Seq[Expression])
               "inputExpr" -> toSQLExpr(children.head)
             )
           )
+        case (e, 0) if e.eval() == null =>
+          DataTypeMismatch(
+            errorSubClass = "UNEXPECTED_NULL",
+            messageParameters = Map("exprName" -> toSQLId("class")))
         case (e, 1) if !(e.dataType == StringType && e.foldable) =>
           DataTypeMismatch(
             errorSubClass = "NON_FOLDABLE_INPUT",
@@ -87,6 +91,10 @@ case class CallMethodViaReflection(children: Seq[Expression])
               "inputExpr" -> toSQLExpr(children(1))
             )
           )
+        case (e, 1) if e.eval() == null =>
+          DataTypeMismatch(
+            errorSubClass = "UNEXPECTED_NULL",
+            messageParameters = Map("exprName" -> toSQLId("method")))
         case (e, idx) if idx > 1 && !CallMethodViaReflection.typeMapping.contains(e.dataType) =>
           DataTypeMismatch(
             errorSubClass = "UNEXPECTED_INPUT_TYPE",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/MiscFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/MiscFunctionsSuite.scala
index 074556fa2f9db..b890ae73fb644 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/MiscFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/MiscFunctionsSuite.scala
@@ -232,6 +232,26 @@ class MiscFunctionsSuite extends QueryTest with SharedSparkSession {
       Seq(Row("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2")))
     checkAnswer(df.select(reflect(lit("java.util.UUID"), lit("fromString"), col("a"))),
       Seq(Row("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2")))
+
+    checkError(
+      exception = intercept[AnalysisException] {
+        df.selectExpr("reflect(cast(null as string), 'fromString', a)")
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_NULL",
+      parameters = Map(
+        "exprName" -> "`class`",
+        "sqlExpr" -> "\"reflect(CAST(NULL AS STRING), fromString, a)\""),
+      context = ExpectedContext("", "", 0, 45, "reflect(cast(null as string), 'fromString', a)"))
+    checkError(
+      exception = intercept[AnalysisException] {
+        df.selectExpr("reflect('java.util.UUID', cast(null as string), a)")
+      },
+      errorClass = "DATATYPE_MISMATCH.UNEXPECTED_NULL",
+      parameters = Map(
+        "exprName" -> "`method`",
+        "sqlExpr" -> "\"reflect(java.util.UUID, CAST(NULL AS STRING), a)\""),
+      context = ExpectedContext("", "", 0, 49,
+        "reflect('java.util.UUID', cast(null as string), a)"))
   }
 
   test("java_method") {

From 066217534c2a06a34f4d7334db4be7815ee0cefc Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 8 Sep 2023 10:24:18 -0700
Subject: [PATCH 368/986] [SPARK-45098][DOCS] Custom jekyll-rediect-from
 redirect.html template to fix doc redirecting

### What changes were proposed in this pull request?

In https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/_site/, these links are supposed to redirect to the correct targets, but failed because there are no `.html` extensions.

- [building-with-maven.html](https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/_site/building-with-maven.html)   ---> [building-spark.html](https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/_site/building-spark.html)
- [sql-reference.html](https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/_site/sql-reference.html) ---> [sql-ref.html](https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/_site/sql-ref.html)

This PR customs the redirect template to add extensions to fix this issue. Referencing https://github.com/jekyll/jekyll-redirect-from#customizing-the-redirect-template

### Why are the changes needed?

Fix doc links, such as https://spark.apache.org/docs/latest/sql-reference.html

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

Build doc and verify locally.

```html
<!DOCTYPE html>
<html lang="en-US">
<meta charset="utf-8">
<title>Redirecting&hellip;</title>
<link rel="canonical" href="/building-spark.html">
<script>location="/building-spark.html"</script>
<meta http-equiv="refresh" content="0; url=/building-spark.html">
<meta name="robots" content="noindex">
<h1>Redirecting&hellip;</h1>
<a href="/building-spark.html">Click here if you are not redirected.</a>
</html>%
```

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #42848 from yaooqinn/SPARK-45098.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 81bc38ee87769bbc52a677853e53293cf9601210)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/_layouts/redirect.html | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100644 docs/_layouts/redirect.html

diff --git a/docs/_layouts/redirect.html b/docs/_layouts/redirect.html
new file mode 100644
index 0000000000000..72a0462fc6a30
--- /dev/null
+++ b/docs/_layouts/redirect.html
@@ -0,0 +1,28 @@
+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements.  See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License.  You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+-->
+
+<!DOCTYPE html>
+<html lang="en-US">
+<meta charset="utf-8">
+<title>Redirecting&hellip;</title>
+<link rel="canonical" href="{{ page.redirect.to }}.html">
+<script>location="{{ page.redirect.to }}.html"</script>
+<meta http-equiv="refresh" content="0; url={{ page.redirect.to }}.html">
+<meta name="robots" content="noindex">
+<h1>Redirecting&hellip;</h1>
+<a href="{{ page.redirect.to }}.html">Click here if you are not redirected.</a>
+</html>
\ No newline at end of file

From 695be328b4cfb4210ea8331fa7aedaa6a874fe65 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 8 Sep 2023 12:38:35 -0700
Subject: [PATCH 369/986] [SPARK-45106][SQL] `PercentileCont` should check user
 supplied input

### What changes were proposed in this pull request?

Change `PercentileCont` to explicitly check user-supplied input by calling `checkInputDataTypes` on the replacement.

### Why are the changes needed?

`PercentileCont` does not currently check the user's input. If the runtime replacement (an instance of `Percentile`) rejects the user's input, the runtime replacement ends up unresolved.

For example, this query throws an internal error rather than producing a useful error message:
```
select percentile_cont(b) WITHIN GROUP (ORDER BY a DESC) as x
from (values (12, 0.25), (13, 0.25), (22, 0.25)) as (a, b);

[INTERNAL_ERROR] Cannot resolve the runtime replaceable expression "percentile_cont(a, b)". The replacement is unresolved: "percentile(a, b, 1)".
org.apache.spark.SparkException: [INTERNAL_ERROR] Cannot resolve the runtime replaceable expression "percentile_cont(a, b)". The replacement is unresolved: "percentile(a, b, 1)".
	at org.apache.spark.SparkException$.internalError(SparkException.scala:92)
	at org.apache.spark.SparkException$.internalError(SparkException.scala:96)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$6(CheckAnalysis.scala:313)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$6$adapted(CheckAnalysis.scala:277)
...
```
With this PR, the above query will produce the following error message:
```
[DATATYPE_MISMATCH.NON_FOLDABLE_INPUT] Cannot resolve "percentile_cont(a, b)" due to data type mismatch: the input percentage should be a foldable "DOUBLE" expression; however, got "b".; line 1 pos 7;
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42857 from bersprockets/pc_checkinputtype_issue.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 2b4387fe9498a7ba403f96f288e6c5b6660dba6e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/aggregate/percentiles.scala   |  5 ++++
 .../analyzer-results/percentiles.sql.out      | 25 +++++++++++++++++
 .../sql-tests/inputs/percentiles.sql          |  4 +++
 .../sql-tests/results/percentiles.sql.out     | 27 +++++++++++++++++++
 4 files changed, 61 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
index 74d848298698b..73e44fe91ba75 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/percentiles.scala
@@ -368,6 +368,11 @@ case class PercentileCont(left: Expression, right: Expression, reverse: Boolean
     val direction = if (reverse) " DESC" else ""
     s"$prettyName($distinct${right.sql}) WITHIN GROUP (ORDER BY ${left.sql}$direction)"
   }
+
+  override def checkInputDataTypes(): TypeCheckResult = {
+    percentile.checkInputDataTypes()
+  }
+
   override protected def withNewChildrenInternal(
       newLeft: Expression, newRight: Expression): PercentileCont =
     this.copy(left = newLeft, right = newRight)
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
index 36845ce63466e..16fb510d5d459 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/percentiles.sql.out
@@ -868,6 +868,31 @@ Aggregate [percentile_disc(a#x, cast(0.0 as double), false, 0, 0, true) AS p0#x,
    +- LocalRelation [a#x]
 
 
+-- !query
+SELECT
+  percentile_cont(b) WITHIN GROUP (ORDER BY a DESC) as p0
+FROM values (12, 0.25), (13, 0.25), (22, 0.25) as v(a, b)
+-- !query analysis
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
+{
+  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+  "sqlState" : "42K09",
+  "messageParameters" : {
+    "inputExpr" : "\"b\"",
+    "inputName" : "percentage",
+    "inputType" : "\"DOUBLE\"",
+    "sqlExpr" : "\"percentile_cont(a, b)\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 10,
+    "stopIndex" : 58,
+    "fragment" : "percentile_cont(b) WITHIN GROUP (ORDER BY a DESC)"
+  } ]
+}
+
+
 -- !query
 SET spark.sql.legacy.percentileDiscCalculation = false
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql b/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
index 87c5d4be90ce1..eae8a71be7e56 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/percentiles.sql
@@ -374,4 +374,8 @@ SELECT
   percentile_disc(1.0) WITHIN GROUP (ORDER BY a) as p10
 FROM VALUES (0), (1), (2), (3), (4) AS v(a);
 
+SELECT
+  percentile_cont(b) WITHIN GROUP (ORDER BY a DESC) as p0
+FROM values (12, 0.25), (13, 0.25), (22, 0.25) as v(a, b);
+
 SET spark.sql.legacy.percentileDiscCalculation = false;
diff --git a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
index 0d6ab54286110..a0a4dc35f3fd8 100644
--- a/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/percentiles.sql.out
@@ -840,6 +840,33 @@ struct<p0:double,p1:double,p2:double,p3:double,p4:double,p5:double,p6:double,p7:
 0.0	0.0	0.0	1.0	1.0	2.0	2.0	2.0	3.0	3.0	4.0
 
 
+-- !query
+SELECT
+  percentile_cont(b) WITHIN GROUP (ORDER BY a DESC) as p0
+FROM values (12, 0.25), (13, 0.25), (22, 0.25) as v(a, b)
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.catalyst.ExtendedAnalysisException
+{
+  "errorClass" : "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+  "sqlState" : "42K09",
+  "messageParameters" : {
+    "inputExpr" : "\"b\"",
+    "inputName" : "percentage",
+    "inputType" : "\"DOUBLE\"",
+    "sqlExpr" : "\"percentile_cont(a, b)\""
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 10,
+    "stopIndex" : 58,
+    "fragment" : "percentile_cont(b) WITHIN GROUP (ORDER BY a DESC)"
+  } ]
+}
+
+
 -- !query
 SET spark.sql.legacy.percentileDiscCalculation = false
 -- !query schema

From b2b2ba97d3003d25d159943ab8a4bf50e421fdab Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 8 Sep 2023 12:57:42 -0700
Subject: [PATCH 370/986] [SPARK-44805][SQL] getBytes/getShorts/getInts/etc.
 should work in a column vector that has a dictionary

Change getBytes/getShorts/getInts/getLongs/getFloats/getDoubles in `OnHeapColumnVector` and `OffHeapColumnVector` to use the dictionary, if present.

The following query gets incorrect results:
```
drop table if exists t1;

create table t1 using parquet as
select * from values
(named_struct('f1', array(1, 2, 3), 'f2', array(1, 1, 2)))
as (value);

select cast(value as struct<f1:array<double>,f2:array<int>>) AS value from t1;

{"f1":[1.0,2.0,3.0],"f2":[0,0,0]}

```
The result should be:
```
{"f1":[1.0,2.0,3.0],"f2":[1,2,3]}
```
The cast operation copies the second array by calling `ColumnarArray#copy`, which in turn calls `ColumnarArray#toIntArray`, which in turn calls `ColumnVector#getInts` on the underlying column vector (which is either an `OnHeapColumnVector` or an `OffHeapColumnVector`). The implementation of `getInts` in either concrete class assumes there is no dictionary and does not use it if it is present (in fact, it even asserts that there is no dictionary). However, in the above example, the column vector associated with the second array does have a dictionary:
```
java -cp ~/github/parquet-mr/parquet-tools/target/parquet-tools-1.10.1.jar org.apache.parquet.tools.Main meta ./spark-warehouse/t1/part-00000-122fdd53-8166-407b-aec5-08e0c2845c3d-c000.snappy.parquet
...
row group 1: RC:1 TS:112 OFFSET:4
-------------------------------------------------------------------------------------------------------------------------------------------------------
value:
.f1:
..list:
...element:   INT32 SNAPPY DO:0 FPO:4 SZ:47/47/1.00 VC:3 ENC:RLE,PLAIN ST:[min: 1, max: 3, num_nulls: 0]
.f2:
..list:
...element:   INT32 SNAPPY DO:51 FPO:80 SZ:69/65/0.94 VC:3 ENC:RLE,PLAIN_DICTIONARY ST:[min: 1, max: 2, num_nulls: 0]

```
The same bug also occurs when field f2 is a map. This PR fixes that case as well.

No, except for fixing the correctness issue.

New tests.

No.

Closes #42850 from bersprockets/vector_oddity.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit fac236e1350d1c71dd772251709db3af877a69c2)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../execution/columnar/ColumnDictionary.java  | 18 +++--
 .../vectorized/OffHeapColumnVector.java       | 55 ++++++++++---
 .../vectorized/OnHeapColumnVector.java        | 54 ++++++++++---
 .../parquet/ParquetQuerySuite.scala           | 10 +++
 .../vectorized/ColumnVectorSuite.scala        | 80 ++++++++++++++++++-
 5 files changed, 186 insertions(+), 31 deletions(-)

diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/columnar/ColumnDictionary.java b/sql/core/src/main/java/org/apache/spark/sql/execution/columnar/ColumnDictionary.java
index 419dda874d3d9..29271fc5c0a29 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/columnar/ColumnDictionary.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/columnar/ColumnDictionary.java
@@ -22,6 +22,8 @@
 public final class ColumnDictionary implements Dictionary {
   private int[] intDictionary;
   private long[] longDictionary;
+  private float[] floatDictionary;
+  private double[] doubleDictionary;
 
   public ColumnDictionary(int[] dictionary) {
     this.intDictionary = dictionary;
@@ -31,6 +33,14 @@ public ColumnDictionary(long[] dictionary) {
     this.longDictionary = dictionary;
   }
 
+  public ColumnDictionary(float[] dictionary) {
+    this.floatDictionary = dictionary;
+  }
+
+  public ColumnDictionary(double[] dictionary) {
+    this.doubleDictionary = dictionary;
+  }
+
   @Override
   public int decodeToInt(int id) {
     return intDictionary[id];
@@ -42,14 +52,10 @@ public long decodeToLong(int id) {
   }
 
   @Override
-  public float decodeToFloat(int id) {
-    throw new UnsupportedOperationException("Dictionary encoding does not support float");
-  }
+  public float decodeToFloat(int id) { return floatDictionary[id]; }
 
   @Override
-  public double decodeToDouble(int id) {
-    throw new UnsupportedOperationException("Dictionary encoding does not support double");
-  }
+  public double decodeToDouble(int id) { return doubleDictionary[id]; }
 
   @Override
   public byte[] decodeToBinary(int id) {
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
index 5674a091f6d6c..46f241d92e6bd 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
@@ -210,9 +210,14 @@ public byte getByte(int rowId) {
 
   @Override
   public byte[] getBytes(int rowId, int count) {
-    assert(dictionary == null);
     byte[] array = new byte[count];
-    Platform.copyMemory(null, data + rowId, array, Platform.BYTE_ARRAY_OFFSET, count);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId, array, Platform.BYTE_ARRAY_OFFSET, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getByte(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -266,9 +271,14 @@ public short getShort(int rowId) {
 
   @Override
   public short[] getShorts(int rowId, int count) {
-    assert(dictionary == null);
     short[] array = new short[count];
-    Platform.copyMemory(null, data + rowId * 2L, array, Platform.SHORT_ARRAY_OFFSET, count * 2L);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId * 2L, array, Platform.SHORT_ARRAY_OFFSET, count * 2L);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getShort(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -327,9 +337,14 @@ public int getInt(int rowId) {
 
   @Override
   public int[] getInts(int rowId, int count) {
-    assert(dictionary == null);
     int[] array = new int[count];
-    Platform.copyMemory(null, data + rowId * 4L, array, Platform.INT_ARRAY_OFFSET, count * 4L);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId * 4L, array, Platform.INT_ARRAY_OFFSET, count * 4L);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getInt(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -400,9 +415,14 @@ public long getLong(int rowId) {
 
   @Override
   public long[] getLongs(int rowId, int count) {
-    assert(dictionary == null);
     long[] array = new long[count];
-    Platform.copyMemory(null, data + rowId * 8L, array, Platform.LONG_ARRAY_OFFSET, count * 8L);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId * 8L, array, Platform.LONG_ARRAY_OFFSET, count * 8L);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getLong(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -459,9 +479,14 @@ public float getFloat(int rowId) {
 
   @Override
   public float[] getFloats(int rowId, int count) {
-    assert(dictionary == null);
     float[] array = new float[count];
-    Platform.copyMemory(null, data + rowId * 4L, array, Platform.FLOAT_ARRAY_OFFSET, count * 4L);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId * 4L, array, Platform.FLOAT_ARRAY_OFFSET, count * 4L);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getFloat(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -519,9 +544,15 @@ public double getDouble(int rowId) {
 
   @Override
   public double[] getDoubles(int rowId, int count) {
-    assert(dictionary == null);
     double[] array = new double[count];
-    Platform.copyMemory(null, data + rowId * 8L, array, Platform.DOUBLE_ARRAY_OFFSET, count * 8L);
+    if (dictionary == null) {
+      Platform.copyMemory(null, data + rowId * 8L, array, Platform.DOUBLE_ARRAY_OFFSET,
+        count * 8L);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getDouble(rowId + i);
+      }
+    }
     return array;
   }
 
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
index 6e4a9c643e89c..b717323753e87 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
@@ -208,9 +208,14 @@ public byte getByte(int rowId) {
 
   @Override
   public byte[] getBytes(int rowId, int count) {
-    assert(dictionary == null);
     byte[] array = new byte[count];
-    System.arraycopy(byteData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(byteData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getByte(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -263,9 +268,14 @@ public short getShort(int rowId) {
 
   @Override
   public short[] getShorts(int rowId, int count) {
-    assert(dictionary == null);
     short[] array = new short[count];
-    System.arraycopy(shortData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(shortData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getShort(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -319,9 +329,14 @@ public int getInt(int rowId) {
 
   @Override
   public int[] getInts(int rowId, int count) {
-    assert(dictionary == null);
     int[] array = new int[count];
-    System.arraycopy(intData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(intData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getInt(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -386,9 +401,14 @@ public long getLong(int rowId) {
 
   @Override
   public long[] getLongs(int rowId, int count) {
-    assert(dictionary == null);
     long[] array = new long[count];
-    System.arraycopy(longData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(longData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getLong(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -438,9 +458,14 @@ public float getFloat(int rowId) {
 
   @Override
   public float[] getFloats(int rowId, int count) {
-    assert(dictionary == null);
     float[] array = new float[count];
-    System.arraycopy(floatData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(floatData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getFloat(rowId + i);
+      }
+    }
     return array;
   }
 
@@ -492,9 +517,14 @@ public double getDouble(int rowId) {
 
   @Override
   public double[] getDoubles(int rowId, int count) {
-    assert(dictionary == null);
     double[] array = new double[count];
-    System.arraycopy(doubleData, rowId, array, 0, count);
+    if (dictionary == null) {
+      System.arraycopy(doubleData, rowId, array, 0, count);
+    } else {
+      for (int i = 0; i < count; i++) {
+        array[i] = getDouble(rowId + i);
+      }
+    }
     return array;
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index 16e0e6b43922d..2e7b26126d24f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -1108,6 +1108,16 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
       checkAnswer(sql("select * from tbl"), expected)
     }
   }
+
+  test("SPARK-44805: cast of struct with two arrays") {
+    withTable("tbl") {
+      sql("create table tbl (value struct<f1:array<int>,f2:array<int>>) using parquet")
+      sql("insert into tbl values (named_struct('f1', array(1, 2, 3), 'f2', array(1, 1, 2)))")
+      val df = sql("select cast(value as struct<f1:array<double>,f2:array<int>>) AS value from tbl")
+      val expected = Row(Row(Array(1.0d, 2.0d, 3.0d), Array(1, 1, 2))) :: Nil
+      checkAnswer(df, expected)
+    }
+  }
 }
 
 class ParquetV1QuerySuite extends ParquetQuerySuite {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
index 5e06eb729ea3e..516be9a4e5958 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.execution.vectorized
 
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow
-import org.apache.spark.sql.execution.columnar.ColumnAccessor
+import org.apache.spark.sql.execution.columnar.{ColumnAccessor, ColumnDictionary}
 import org.apache.spark.sql.execution.columnar.compression.ColumnBuilderHelper
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.vectorized.ColumnarArray
@@ -395,6 +395,84 @@ class ColumnVectorSuite extends SparkFunSuite {
     assert(testVector.getStruct(1).get(1, DoubleType) === 5.67)
   }
 
+  testVectors("SPARK-44805: getInts with dictionary", 3, IntegerType) { testVector =>
+    val dict = new ColumnDictionary(Array[Int](7, 8, 9))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getInts(0, 3)(0) == 7)
+    assert(testVector.getInts(0, 3)(1) == 8)
+    assert(testVector.getInts(0, 3)(2) == 9)
+  }
+
+  testVectors("SPARK-44805: getShorts with dictionary", 3, ShortType) { testVector =>
+    val dict = new ColumnDictionary(Array[Int](7, 8, 9))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getShorts(0, 3)(0) == 7)
+    assert(testVector.getShorts(0, 3)(1) == 8)
+    assert(testVector.getShorts(0, 3)(2) == 9)
+  }
+
+  testVectors("SPARK-44805: getBytes with dictionary", 3, ByteType) { testVector =>
+    val dict = new ColumnDictionary(Array[Int](7, 8, 9))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getBytes(0, 3)(0) == 7)
+    assert(testVector.getBytes(0, 3)(1) == 8)
+    assert(testVector.getBytes(0, 3)(2) == 9)
+  }
+
+  testVectors("SPARK-44805: getLongs with dictionary", 3, LongType) { testVector =>
+    val dict = new ColumnDictionary(Array[Long](2147483648L, 2147483649L, 2147483650L))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getLongs(0, 3)(0) == 2147483648L)
+    assert(testVector.getLongs(0, 3)(1) == 2147483649L)
+    assert(testVector.getLongs(0, 3)(2) == 2147483650L)
+  }
+
+  testVectors("SPARK-44805: getFloats with dictionary", 3, FloatType) { testVector =>
+    val dict = new ColumnDictionary(Array[Float](0.1f, 0.2f, 0.3f))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getFloats(0, 3)(0) == 0.1f)
+    assert(testVector.getFloats(0, 3)(1) == 0.2f)
+    assert(testVector.getFloats(0, 3)(2) == 0.3f)
+  }
+
+  testVectors("SPARK-44805: getDoubles with dictionary", 3, DoubleType) { testVector =>
+    val dict = new ColumnDictionary(Array[Double](1342.17727d, 1342.17728d, 1342.17729d))
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 0)
+    testVector.getDictionaryIds.putInt(1, 1)
+    testVector.getDictionaryIds.putInt(2, 2)
+
+    assert(testVector.getDoubles(0, 3)(0) == 1342.17727d)
+    assert(testVector.getDoubles(0, 3)(1) == 1342.17728d)
+    assert(testVector.getDoubles(0, 3)(2) == 1342.17729d)
+  }
+
   test("[SPARK-22092] off-heap column vector reallocation corrupts array data") {
     withVector(new OffHeapColumnVector(8, arrayType)) { testVector =>
       val data = testVector.arrayData()

From 05b57bc1ebe6ebec51b25f001a7c8491cb4c7edf Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Fri, 8 Sep 2023 13:17:55 -0700
Subject: [PATCH 371/986] [SPARK-45075][SQL] Fix alter table with invalid
 default value will not report error

### What changes were proposed in this pull request?
This PR make sure ALTER TABLE ALTER COLUMN with invalid default value on DataSource V2 will report error, before this PR it will alter sucess.

### Why are the changes needed?
Fix the error behavior on DataSource V2 with ALTER TABLE statement.

### Does this PR introduce _any_ user-facing change?
Yes, the invalid default value will report error.

### How was this patch tested?
Add new test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42810 from Hisoka-X/SPARK-45075_alter_invalid_default_value_on_v2.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 4dd4737b34b1215e374674b777c2eb8906a29ed7)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/connector/catalog/TableChange.java    |  3 +-
 .../plans/logical/v2AlterTableCommands.scala  | 11 +++++--
 .../spark/sql/connector/AlterTableTests.scala | 29 +++++++++++++++++++
 3 files changed, 39 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableChange.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableChange.java
index 609cfab2d568e..ebecb6f507e6a 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableChange.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableChange.java
@@ -696,9 +696,8 @@ public String[] fieldNames() {
     /**
      * Returns the column default value SQL string (Spark SQL dialect). The default value literal
      * is not provided as updating column default values does not need to back-fill existing data.
-     * Null means dropping the column default value.
+     * Empty string means dropping the column default value.
      */
-    @Nullable
     public String newDefaultValue() { return newDefaultValue; }
 
     @Override
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2AlterTableCommands.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2AlterTableCommands.scala
index eb9d45f06ec79..b02c4fac12dec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2AlterTableCommands.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2AlterTableCommands.scala
@@ -17,9 +17,9 @@
 
 package org.apache.spark.sql.catalyst.plans.logical
 
-import org.apache.spark.sql.catalyst.analysis.{FieldName, FieldPosition}
+import org.apache.spark.sql.catalyst.analysis.{FieldName, FieldPosition, ResolvedFieldName}
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
-import org.apache.spark.sql.catalyst.util.TypeUtils
+import org.apache.spark.sql.catalyst.util.{ResolveDefaultColumns, TypeUtils}
 import org.apache.spark.sql.connector.catalog.{TableCatalog, TableChange}
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.types.DataType
@@ -228,6 +228,13 @@ case class AlterColumn(
       TableChange.updateColumnPosition(colName, newPosition.position)
     }
     val defaultValueChange = setDefaultExpression.map { newDefaultExpression =>
+      if (newDefaultExpression.nonEmpty) {
+        // SPARK-45075: We call 'ResolveDefaultColumns.analyze' here to make sure that the default
+        // value parses successfully, and return an error otherwise
+        val newDataType = dataType.getOrElse(column.asInstanceOf[ResolvedFieldName].field.dataType)
+        ResolveDefaultColumns.analyze(column.name.last, newDataType, newDefaultExpression,
+          "ALTER TABLE ALTER COLUMN")
+      }
       TableChange.updateColumnDefaultValue(colName, newDefaultExpression)
     }
     typeChange.toSeq ++ nullabilityChange ++ commentChange ++ positionChange ++ defaultValueChange
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
index a18c767570f01..ca60e3212e686 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/AlterTableTests.scala
@@ -363,6 +363,35 @@ trait AlterTableTests extends SharedSparkSession with QueryErrorsBase {
     }
   }
 
+  test("SPARK-45075: ALTER COLUMN with invalid default value") {
+    withSQLConf(SQLConf.DEFAULT_COLUMN_ALLOWED_PROVIDERS.key -> s"$v2Format, ") {
+      withTable("t") {
+        sql(s"create table t(i boolean) using $v2Format")
+        // The default value fails to analyze.
+        checkError(
+          exception = intercept[AnalysisException] {
+            sql("alter table t add column s bigint default badvalue")
+          },
+          errorClass = "INVALID_DEFAULT_VALUE.UNRESOLVED_EXPRESSION",
+          parameters = Map(
+            "statement" -> "ALTER TABLE",
+            "colName" -> "`s`",
+            "defaultValue" -> "badvalue"))
+
+        sql("alter table t add column s bigint default 3L")
+        checkError(
+          exception = intercept[AnalysisException] {
+            sql("alter table t alter column s set default badvalue")
+          },
+          errorClass = "INVALID_DEFAULT_VALUE.UNRESOLVED_EXPRESSION",
+          parameters = Map(
+            "statement" -> "ALTER TABLE ALTER COLUMN",
+            "colName" -> "`s`",
+            "defaultValue" -> "badvalue"))
+      }
+    }
+  }
+
   test("AlterTable: add complex column") {
     val t = fullTableName("table_name")
     withTable(t) {

From ce5ddad990373636e94071e7cef2f31021add07b Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Sat, 9 Sep 2023 01:24:06 +0000
Subject: [PATCH 372/986] Preparing Spark release v3.5.0-rc5

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..1c093a4a98046 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.0
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 45b68dd81cb9a..a0aca22eab91d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..ce180f49ff128 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..8da48076a43aa 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..48e64d21a58b0 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..2bbacbe71a439 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..fca31591b1ef1 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..a93e227655ea7 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..49f7e2d8c861e 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..c200c06a42e69 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..63b411137ed7a 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 67227ef38eb8f..8c9d11f64eec8 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 40de7414051bd..c78c5445e5073 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..10deea435d2bd 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..87df8a9ff5bea 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..e7d86b6fd7560 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..8f41efc15cacb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..b22b937cd821e 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..825868ebd9581 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..312b9c460777a 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..134f9c22d7436 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..7b8b45704a5ef 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..a5870edfc7c81 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..c40f9905245cb 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..19cadd69e61ba 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.0
+SPARK_VERSION_SHORT: 3.5.0
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.0"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..c95269dbc4bb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..30fe05957d569 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..f67475ac11bc0 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..d3c52a713911a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..5ec981a7816be 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..fe7c3da9c4eb2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8fc4b89a78cc2..93d696d494e84 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.0</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..daccb365340b7 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..6214dc2e18555 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..11420fe7fa76c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..c7e543137385b 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..1dda41e085178 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..fc07d304a038f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..dd2ebad69a058 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.0</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index d7fc835fddbcb..f9cd2dc677adf 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..7313ee5c41340 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..7222d49ecb020 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..b04c7565f8a3b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..55758d75ce54d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..a63b2e1062dd8 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 5342c015ba47daa410128dfa5c79e2865e74d244 Mon Sep 17 00:00:00 2001
From: Yuanjian Li <liyuanjian@apache.org>
Date: Sat, 9 Sep 2023 01:24:10 +0000
Subject: [PATCH 373/986] Preparing development version 3.5.1-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 1c093a4a98046..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.0
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index a0aca22eab91d..45b68dd81cb9a 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index ce180f49ff128..1b1a8d0066f89 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 8da48076a43aa..54c10a05eed22 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 48e64d21a58b0..92bf5bc07854b 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 2bbacbe71a439..3003927e713c1 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index fca31591b1ef1..43982032a621d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a93e227655ea7..a54382c0f4d03 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 49f7e2d8c861e..bea8f1ba87c57 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index c200c06a42e69..588fa3950dc5f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 63b411137ed7a..c24ebad632940 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 8c9d11f64eec8..67227ef38eb8f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index c78c5445e5073..40de7414051bd 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 10deea435d2bd..403255c543727 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 87df8a9ff5bea..1bd6b8e7e4883 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index e7d86b6fd7560..69908e8bb4fb9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8f41efc15cacb..72b6d7038b7e5 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b22b937cd821e..e76f5d59d5048 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 825868ebd9581..d6a023392f87d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 312b9c460777a..90a568d1c3d83 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 134f9c22d7436..666f757996d7d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 7b8b45704a5ef..8021b78141ac4 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a5870edfc7c81..df3deb35a772b 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index c40f9905245cb..eb4a563f1f31f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 19cadd69e61ba..afe015b2972da 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.0
-SPARK_VERSION_SHORT: 3.5.0
+SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.0"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index c95269dbc4bb0..e85bc9ea02f8b 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 30fe05957d569..19d58f8c8b148 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index f67475ac11bc0..2b19307862060 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d3c52a713911a..18ad615675b6e 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 5ec981a7816be..0660631bb4a9d 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index fe7c3da9c4eb2..e5948ba6eeff2 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 93d696d494e84..8fc4b89a78cc2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.0</version>
+  <version>3.5.1-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index daccb365340b7..64ef604affff2 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.0"
+__version__: str = "3.5.1.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 6214dc2e18555..875d0455ee778 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 11420fe7fa76c..39771c07ca549 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index c7e543137385b..b420eda3eac5e 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 1dda41e085178..4c2fc6ef28aa5 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index fc07d304a038f..4d5cec6aba5c0 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index dd2ebad69a058..0763c5266a2df 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.0</version>
+        <version>3.5.1-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index f9cd2dc677adf..d7fc835fddbcb 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 7313ee5c41340..c46c80ecff70b 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 7222d49ecb020..3659a0f846a5e 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index b04c7565f8a3b..f833b6c34fa94 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 55758d75ce54d..75a98c050b5e0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index a63b2e1062dd8..1805ba06c5b49 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.0</version>
+    <version>3.5.1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 3c92ecf21e0a00ba96d7934a4e27ec5b8d339762 Mon Sep 17 00:00:00 2001
From: Peter Toth <peter.toth@gmail.com>
Date: Mon, 11 Sep 2023 08:06:56 +0800
Subject: [PATCH 374/986] [SPARK-45109][SQL][CONNECT] Fix aes_decrypt and ln
 functions in Connect

### What changes were proposed in this pull request?
Fix `aes_descrypt` and `ln` implementations in Spark Connect. The previous `aes_descrypt` reference to `aes_encrypt` is clearly a bug. The `ln` reference to `log` is more like a cosmetic issue, but because `ln` and `log` function implementations are different in Spark SQL we should use the same implementation in Spark Connect too.

### Why are the changes needed?
Bugfix.

### Does this PR introduce _any_ user-facing change?
No, these Spark Connect functions haven't been released.

### How was this patch tested?
Esiting UTs.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42863 from peter-toth/SPARK-45109-fix-eas_decrypt-and-ln.

Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 5e97c79ad82914fc77601ad33cc304c61de93e87)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../scala/org/apache/spark/sql/functions.scala  |  10 +++++-----
 .../function_aes_decrypt.explain                |   2 +-
 .../function_aes_decrypt_with_mode.explain      |   2 +-
 ...nction_aes_decrypt_with_mode_padding.explain |   2 +-
 ...on_aes_decrypt_with_mode_padding_aad.explain |   2 +-
 .../explain-results/function_ln.explain         |   2 +-
 .../queries/function_aes_decrypt.json           |   2 +-
 .../queries/function_aes_decrypt.proto.bin      | Bin 187 -> 187 bytes
 .../queries/function_aes_decrypt_with_mode.json |   2 +-
 .../function_aes_decrypt_with_mode.proto.bin    | Bin 194 -> 194 bytes
 .../function_aes_decrypt_with_mode_padding.json |   2 +-
 ...tion_aes_decrypt_with_mode_padding.proto.bin | Bin 201 -> 201 bytes
 ...ction_aes_decrypt_with_mode_padding_aad.json |   2 +-
 ..._aes_decrypt_with_mode_padding_aad.proto.bin | Bin 208 -> 208 bytes
 .../query-tests/queries/function_ln.json        |   2 +-
 .../query-tests/queries/function_ln.proto.bin   | Bin 172 -> 171 bytes
 16 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index fe992ae6740bf..16e787f825a6f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -2624,7 +2624,7 @@ object functions {
    * @group math_funcs
    * @since 3.5.0
    */
-  def ln(e: Column): Column = log(e)
+  def ln(e: Column): Column = Column.fn("ln", e)
 
   /**
    * Computes the natural logarithm of the given value.
@@ -3477,7 +3477,7 @@ object functions {
       mode: Column,
       padding: Column,
       aad: Column): Column =
-    Column.fn("aes_encrypt", input, key, mode, padding, aad)
+    Column.fn("aes_decrypt", input, key, mode, padding, aad)
 
   /**
    * Returns a decrypted value of `input`.
@@ -3489,7 +3489,7 @@ object functions {
    * @since 3.5.0
    */
   def aes_decrypt(input: Column, key: Column, mode: Column, padding: Column): Column =
-    Column.fn("aes_encrypt", input, key, mode, padding)
+    Column.fn("aes_decrypt", input, key, mode, padding)
 
   /**
    * Returns a decrypted value of `input`.
@@ -3501,7 +3501,7 @@ object functions {
    * @since 3.5.0
    */
   def aes_decrypt(input: Column, key: Column, mode: Column): Column =
-    Column.fn("aes_encrypt", input, key, mode)
+    Column.fn("aes_decrypt", input, key, mode)
 
   /**
    * Returns a decrypted value of `input`.
@@ -3513,7 +3513,7 @@ object functions {
    * @since 3.5.0
    */
   def aes_decrypt(input: Column, key: Column): Column =
-    Column.fn("aes_encrypt", input, key)
+    Column.fn("aes_decrypt", input, key)
 
   /**
    * This is a special version of `aes_decrypt` that performs the same operation, but returns a
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt.explain
index 44084a8e60fb0..31e03b79eb987 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesEncrypt, cast(g#0 as binary), cast(g#0 as binary), GCM, DEFAULT, cast( as binary), cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, BinaryType, true, true, true) AS aes_encrypt(g, g, GCM, DEFAULT, , )#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesDecrypt, cast(g#0 as binary), cast(g#0 as binary), GCM, DEFAULT, cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, true, true, true) AS aes_decrypt(g, g, GCM, DEFAULT, )#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode.explain
index 29ccf0c1c833f..fc572e8fe7c67 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesEncrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, DEFAULT, cast( as binary), cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, BinaryType, true, true, true) AS aes_encrypt(g, g, g, DEFAULT, , )#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesDecrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, DEFAULT, cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, true, true, true) AS aes_decrypt(g, g, g, DEFAULT, )#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding.explain
index 5591363426ab5..c6c693013dd0a 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesEncrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, g#0, cast( as binary), cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, BinaryType, true, true, true) AS aes_encrypt(g, g, g, g, , )#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesDecrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, g#0, cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, true, true, true) AS aes_decrypt(g, g, g, g, )#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding_aad.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding_aad.explain
index 0e8d4df71b38e..97bb528b84b3f 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding_aad.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_aes_decrypt_with_mode_padding_aad.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesEncrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, g#0, cast(g#0 as binary), cast( as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, BinaryType, true, true, true) AS aes_encrypt(g, g, g, g, g, )#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils, BinaryType, aesDecrypt, cast(g#0 as binary), cast(g#0 as binary), g#0, g#0, cast(g#0 as binary), BinaryType, BinaryType, StringType, StringType, BinaryType, true, true, true) AS aes_decrypt(g, g, g, g, g)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ln.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ln.explain
index d3c3743b1ef40..66b782ac8170d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_ln.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_ln.explain
@@ -1,2 +1,2 @@
-Project [LOG(E(), b#0) AS LOG(E(), b)#0]
+Project [ln(b#0) AS ln(b)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.json b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.json
index 06469d4840547..4204a44b44ce0 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "aes_encrypt",
+        "functionName": "aes_decrypt",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "g"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt.proto.bin
index c7a70b51707f321c5e0ca295920fd6a287693c1d..f635e1fc689b1127bebea3b7ad0930f73869006b 100644
GIT binary patch
delta 28
ecmdnZxSMgpGSQUO<f6)g5+PP0W-i8bC<Oq5s0RB0

delta 28
ecmdnZxSMgpGSSq$<f6)g5+PP0W-i8bC<Oq6aR&te

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.json b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.json
index 7eb9b4ed8b4ed..9c630e1253494 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "aes_encrypt",
+        "functionName": "aes_decrypt",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "g"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode.proto.bin
index ecd81ae44fcbd94b4cc80e673f3fd5374a0db33e..41d024cdb7eed42bd3f921c0e60d77f2596e9733 100644
GIT binary patch
delta 35
ecmX@ac!+VrGMSXr<f6)g5+PP0W-i8bR0;sMwFj;M

delta 35
ecmX@ac!+VrGMUu8<f6)g5+PP0W-i8bR0;sN#0R(l

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.json b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.json
index 59a6a5e35fd42..8f5be474ab4b3 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "aes_encrypt",
+        "functionName": "aes_decrypt",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "g"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding.proto.bin
index 9de01ddc5ea69ea1e7d6afadc38b6de546df6a4f..cd6764581f2caeceb4715a72502bc959c7594c59 100644
GIT binary patch
delta 12
TcmX@fc#?6#GNzQ&i7ONVAt(g!

delta 12
TcmX@fc#?6#GN#nLi7ONVAyEYS

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.json b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.json
index a87ec1b7f4d29..9381042b71886 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "aes_encrypt",
+        "functionName": "aes_decrypt",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "g"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_aes_decrypt_with_mode_padding_aad.proto.bin
index 13da507fe6ff4a868fe434cfeb7c013d8dc9ff58..ca789f04ce1d488073b377c6dd6fed6193462660 100644
GIT binary patch
delta 12
Tcmcb>c!6=kGNzQ&i7PY!A;|>=

delta 12
Tcmcb>c!6=kGN#nLi7PY!A@T(e

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ln.json b/connector/connect/common/src/test/resources/query-tests/queries/function_ln.json
index 1b2d0ed0b1447..ababbc52d088d 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_ln.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_ln.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "log",
+        "functionName": "ln",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "b"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_ln.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_ln.proto.bin
index 548fb480dd27e65e18dd064ce7d7bfeb5215e293..ecb87a1fc410205cf387950c7e60b407d310d50e 100644
GIT binary patch
delta 29
kcmZ3(xSElTi%Eb{YRN>l>3qCW++0jKc|xp0%v_8~09V}wC;$Ke

delta 30
lcmZ3@xQ3C9i%Eb{YUxC_>HK_BJY38<`RPKeLd;x@NdRB=1(g5*


From ecf507fd976752eb466ccba4a7ed005c1542a22d Mon Sep 17 00:00:00 2001
From: Peter Toth <peter.toth@gmail.com>
Date: Mon, 11 Sep 2023 19:04:41 +0200
Subject: [PATCH 375/986] [SPARK-45109][SQL][CONNECT][FOLLOWUP] Fix log
 function in Connect

### What changes were proposed in this pull request?
This is a follow-up PR to https://github.com/apache/spark/pull/42863, the 1 argument `log` function should also point to `ln`.

### Why are the changes needed?
Bugfix.

### Does this PR introduce _any_ user-facing change?
No, these Spark Connect functions haven't been released.

### How was this patch tested?
Exsiting UTs.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42869 from peter-toth/SPARK-45109-fix-log.

Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: Peter Toth <peter.toth@gmail.com>
(cherry picked from commit 6c3d9f5d89dfc974a5f799b73325aebf10f3cf16)
Signed-off-by: Peter Toth <peter.toth@gmail.com>
---
 .../scala/org/apache/spark/sql/functions.scala  |   2 +-
 .../explain-results/function_log.explain        |   2 +-
 .../query-tests/queries/function_log.json       |   2 +-
 .../query-tests/queries/function_log.proto.bin  | Bin 172 -> 171 bytes
 4 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index 16e787f825a6f..8f55954a63f33 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -2632,7 +2632,7 @@ object functions {
    * @group math_funcs
    * @since 3.4.0
    */
-  def log(e: Column): Column = Column.fn("log", e)
+  def log(e: Column): Column = ln(e)
 
   /**
    * Computes the natural logarithm of the given column.
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_log.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_log.explain
index d3c3743b1ef40..66b782ac8170d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_log.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_log.explain
@@ -1,2 +1,2 @@
-Project [LOG(E(), b#0) AS LOG(E(), b)#0]
+Project [ln(b#0) AS ln(b)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_log.json b/connector/connect/common/src/test/resources/query-tests/queries/function_log.json
index 1b2d0ed0b1447..ababbc52d088d 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/function_log.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/function_log.json
@@ -13,7 +13,7 @@
     },
     "expressions": [{
       "unresolvedFunction": {
-        "functionName": "log",
+        "functionName": "ln",
         "arguments": [{
           "unresolvedAttribute": {
             "unparsedIdentifier": "b"
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/function_log.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/function_log.proto.bin
index 548fb480dd27e65e18dd064ce7d7bfeb5215e293..ecb87a1fc410205cf387950c7e60b407d310d50e 100644
GIT binary patch
delta 29
kcmZ3(xSElTi%Eb{YRN>l>3qCW++0jKc|xp0%v_8~09V}wC;$Ke

delta 30
lcmZ3@xQ3C9i%Eb{YUxC_>HK_BJY38<`RPKeLd;x@NdRB=1(g5*


From 09b14f0968cebe0f2c5c9a369935f27d4ea228f6 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 12 Sep 2023 14:59:44 +0900
Subject: [PATCH 376/986] [SPARK-45124][CONNET] Do not use local user ID for
 Local Relations

### What changes were proposed in this pull request?

This PR removes the use of `userId` and `sessionId` in `CachedLocalRelation` messages and subsequently make `SparkConnectPlanner` use the `userId`/`sessionId` of the active session rather than the user-provided information.

### Why are the changes needed?

Allowing a fetch of a local relation using user-provided information is a potential security risk since this allows users to fetch arbitrary local relations.

### Does this PR introduce _any_ user-facing change?

Virtually no. It will ignore the session id or user id that users set (but instead use internal ones that users cannot manipulate).

### How was this patch tested?

Manually.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42880 from HyukjinKwon/no-local-user.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 47d801e5e9ded3fb50d274a720ee7874e0b37cc3)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/SparkSession.scala   |   2 -
 .../protobuf/spark/connect/relations.proto    |  10 +-
 .../connect/planner/SparkConnectPlanner.scala |   2 +-
 python/pyspark/sql/connect/plan.py            |   3 -
 .../sql/connect/proto/relations_pb2.py        | 160 +++++++++---------
 .../sql/connect/proto/relations_pb2.pyi       |  15 +-
 6 files changed, 87 insertions(+), 105 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 7882ea6401354..7bd8fa59aea8f 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -134,8 +134,6 @@ class SparkSession private[sql] (
         } else {
           val hash = client.cacheLocalRelation(arrowData, encoder.schema.json)
           builder.getCachedLocalRelationBuilder
-            .setUserId(client.userId)
-            .setSessionId(client.sessionId)
             .setHash(hash)
         }
       } else {
diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
index 8001b3cbcfaa4..f7f1315ede0f8 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
@@ -400,11 +400,11 @@ message LocalRelation {
 
 // A local relation that has been cached already.
 message CachedLocalRelation {
-  // (Required) An identifier of the user which created the local relation
-  string userId = 1;
-
-  // (Required) An identifier of the Spark SQL session in which the user created the local relation.
-  string sessionId = 2;
+  // `userId` and `sessionId` fields are deleted since the server must always use the active
+  // session/user rather than arbitrary values provided by the client. It is never valid to access
+  // a local relation from a different session/user.
+  reserved 1, 2;
+  reserved "userId", "sessionId";
 
   // (Required) A sha-256 hash of the serialized local relation in proto, see LocalRelation.
   string hash = 3;
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 2abbacc5a9b7f..641dfc5dcd3c8 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -970,7 +970,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
   private def transformCachedLocalRelation(rel: proto.CachedLocalRelation): LogicalPlan = {
     val blockManager = session.sparkContext.env.blockManager
-    val blockId = CacheId(rel.getUserId, rel.getSessionId, rel.getHash)
+    val blockId = CacheId(sessionHolder.userId, sessionHolder.sessionId, rel.getHash)
     val bytes = blockManager.getLocalBytes(blockId)
     bytes
       .map { blockData =>
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 84fd013d0144a..196b1f119ba41 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -398,9 +398,6 @@ def plan(self, session: "SparkConnectClient") -> proto.Relation:
         plan = self._create_proto_relation()
         clr = plan.cached_local_relation
 
-        if session._user_id:
-            clr.userId = session._user_id
-        clr.sessionId = session._session_id
         clr.hash = self._hash
 
         return plan
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py
index 3a0a7ff71fd3b..3f7e57949373b 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.py
+++ b/python/pyspark/sql/connect/proto/relations_pb2.py
@@ -35,7 +35,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
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 )
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -111,85 +111,85 @@
     _LOCALRELATION._serialized_start = 7090
     _LOCALRELATION._serialized_end = 7179
     _CACHEDLOCALRELATION._serialized_start = 7181
-    _CACHEDLOCALRELATION._serialized_end = 7276
-    _CACHEDREMOTERELATION._serialized_start = 7278
-    _CACHEDREMOTERELATION._serialized_end = 7333
-    _SAMPLE._serialized_start = 7336
-    _SAMPLE._serialized_end = 7609
-    _RANGE._serialized_start = 7612
-    _RANGE._serialized_end = 7757
-    _SUBQUERYALIAS._serialized_start = 7759
-    _SUBQUERYALIAS._serialized_end = 7873
-    _REPARTITION._serialized_start = 7876
-    _REPARTITION._serialized_end = 8018
-    _SHOWSTRING._serialized_start = 8021
-    _SHOWSTRING._serialized_end = 8163
-    _HTMLSTRING._serialized_start = 8165
-    _HTMLSTRING._serialized_end = 8279
-    _STATSUMMARY._serialized_start = 8281
-    _STATSUMMARY._serialized_end = 8373
-    _STATDESCRIBE._serialized_start = 8375
-    _STATDESCRIBE._serialized_end = 8456
-    _STATCROSSTAB._serialized_start = 8458
-    _STATCROSSTAB._serialized_end = 8559
-    _STATCOV._serialized_start = 8561
-    _STATCOV._serialized_end = 8657
-    _STATCORR._serialized_start = 8660
-    _STATCORR._serialized_end = 8797
-    _STATAPPROXQUANTILE._serialized_start = 8800
-    _STATAPPROXQUANTILE._serialized_end = 8964
-    _STATFREQITEMS._serialized_start = 8966
-    _STATFREQITEMS._serialized_end = 9091
-    _STATSAMPLEBY._serialized_start = 9094
-    _STATSAMPLEBY._serialized_end = 9403
-    _STATSAMPLEBY_FRACTION._serialized_start = 9295
-    _STATSAMPLEBY_FRACTION._serialized_end = 9394
-    _NAFILL._serialized_start = 9406
-    _NAFILL._serialized_end = 9540
-    _NADROP._serialized_start = 9543
-    _NADROP._serialized_end = 9677
-    _NAREPLACE._serialized_start = 9680
-    _NAREPLACE._serialized_end = 9976
-    _NAREPLACE_REPLACEMENT._serialized_start = 9835
-    _NAREPLACE_REPLACEMENT._serialized_end = 9976
-    _TODF._serialized_start = 9978
-    _TODF._serialized_end = 10066
-    _WITHCOLUMNSRENAMED._serialized_start = 10069
-    _WITHCOLUMNSRENAMED._serialized_end = 10308
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10241
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10308
-    _WITHCOLUMNS._serialized_start = 10310
-    _WITHCOLUMNS._serialized_end = 10429
-    _WITHWATERMARK._serialized_start = 10432
-    _WITHWATERMARK._serialized_end = 10566
-    _HINT._serialized_start = 10569
-    _HINT._serialized_end = 10701
-    _UNPIVOT._serialized_start = 10704
-    _UNPIVOT._serialized_end = 11031
-    _UNPIVOT_VALUES._serialized_start = 10961
-    _UNPIVOT_VALUES._serialized_end = 11020
-    _TOSCHEMA._serialized_start = 11033
-    _TOSCHEMA._serialized_end = 11139
-    _REPARTITIONBYEXPRESSION._serialized_start = 11142
-    _REPARTITIONBYEXPRESSION._serialized_end = 11345
-    _MAPPARTITIONS._serialized_start = 11348
-    _MAPPARTITIONS._serialized_end = 11529
-    _GROUPMAP._serialized_start = 11532
-    _GROUPMAP._serialized_end = 12167
-    _COGROUPMAP._serialized_start = 12170
-    _COGROUPMAP._serialized_end = 12696
-    _APPLYINPANDASWITHSTATE._serialized_start = 12699
-    _APPLYINPANDASWITHSTATE._serialized_end = 13056
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13059
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13303
-    _PYTHONUDTF._serialized_start = 13306
-    _PYTHONUDTF._serialized_end = 13483
-    _COLLECTMETRICS._serialized_start = 13486
-    _COLLECTMETRICS._serialized_end = 13622
-    _PARSE._serialized_start = 13625
-    _PARSE._serialized_end = 14013
+    _CACHEDLOCALRELATION._serialized_end = 7253
+    _CACHEDREMOTERELATION._serialized_start = 7255
+    _CACHEDREMOTERELATION._serialized_end = 7310
+    _SAMPLE._serialized_start = 7313
+    _SAMPLE._serialized_end = 7586
+    _RANGE._serialized_start = 7589
+    _RANGE._serialized_end = 7734
+    _SUBQUERYALIAS._serialized_start = 7736
+    _SUBQUERYALIAS._serialized_end = 7850
+    _REPARTITION._serialized_start = 7853
+    _REPARTITION._serialized_end = 7995
+    _SHOWSTRING._serialized_start = 7998
+    _SHOWSTRING._serialized_end = 8140
+    _HTMLSTRING._serialized_start = 8142
+    _HTMLSTRING._serialized_end = 8256
+    _STATSUMMARY._serialized_start = 8258
+    _STATSUMMARY._serialized_end = 8350
+    _STATDESCRIBE._serialized_start = 8352
+    _STATDESCRIBE._serialized_end = 8433
+    _STATCROSSTAB._serialized_start = 8435
+    _STATCROSSTAB._serialized_end = 8536
+    _STATCOV._serialized_start = 8538
+    _STATCOV._serialized_end = 8634
+    _STATCORR._serialized_start = 8637
+    _STATCORR._serialized_end = 8774
+    _STATAPPROXQUANTILE._serialized_start = 8777
+    _STATAPPROXQUANTILE._serialized_end = 8941
+    _STATFREQITEMS._serialized_start = 8943
+    _STATFREQITEMS._serialized_end = 9068
+    _STATSAMPLEBY._serialized_start = 9071
+    _STATSAMPLEBY._serialized_end = 9380
+    _STATSAMPLEBY_FRACTION._serialized_start = 9272
+    _STATSAMPLEBY_FRACTION._serialized_end = 9371
+    _NAFILL._serialized_start = 9383
+    _NAFILL._serialized_end = 9517
+    _NADROP._serialized_start = 9520
+    _NADROP._serialized_end = 9654
+    _NAREPLACE._serialized_start = 9657
+    _NAREPLACE._serialized_end = 9953
+    _NAREPLACE_REPLACEMENT._serialized_start = 9812
+    _NAREPLACE_REPLACEMENT._serialized_end = 9953
+    _TODF._serialized_start = 9955
+    _TODF._serialized_end = 10043
+    _WITHCOLUMNSRENAMED._serialized_start = 10046
+    _WITHCOLUMNSRENAMED._serialized_end = 10285
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10218
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10285
+    _WITHCOLUMNS._serialized_start = 10287
+    _WITHCOLUMNS._serialized_end = 10406
+    _WITHWATERMARK._serialized_start = 10409
+    _WITHWATERMARK._serialized_end = 10543
+    _HINT._serialized_start = 10546
+    _HINT._serialized_end = 10678
+    _UNPIVOT._serialized_start = 10681
+    _UNPIVOT._serialized_end = 11008
+    _UNPIVOT_VALUES._serialized_start = 10938
+    _UNPIVOT_VALUES._serialized_end = 10997
+    _TOSCHEMA._serialized_start = 11010
+    _TOSCHEMA._serialized_end = 11116
+    _REPARTITIONBYEXPRESSION._serialized_start = 11119
+    _REPARTITIONBYEXPRESSION._serialized_end = 11322
+    _MAPPARTITIONS._serialized_start = 11325
+    _MAPPARTITIONS._serialized_end = 11506
+    _GROUPMAP._serialized_start = 11509
+    _GROUPMAP._serialized_end = 12144
+    _COGROUPMAP._serialized_start = 12147
+    _COGROUPMAP._serialized_end = 12673
+    _APPLYINPANDASWITHSTATE._serialized_start = 12676
+    _APPLYINPANDASWITHSTATE._serialized_end = 13033
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13036
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13280
+    _PYTHONUDTF._serialized_start = 13283
+    _PYTHONUDTF._serialized_end = 13460
+    _COLLECTMETRICS._serialized_start = 13463
+    _COLLECTMETRICS._serialized_end = 13599
+    _PARSE._serialized_start = 13602
+    _PARSE._serialized_end = 13990
     _PARSE_OPTIONSENTRY._serialized_start = 3987
     _PARSE_OPTIONSENTRY._serialized_end = 4045
-    _PARSE_PARSEFORMAT._serialized_start = 13914
-    _PARSE_PARSEFORMAT._serialized_end = 14002
+    _PARSE_PARSEFORMAT._serialized_start = 13891
+    _PARSE_PARSEFORMAT._serialized_end = 13979
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi
index 9cadd4acc5224..007b92ef5f42d 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -1647,28 +1647,15 @@ class CachedLocalRelation(google.protobuf.message.Message):
 
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
-    USERID_FIELD_NUMBER: builtins.int
-    SESSIONID_FIELD_NUMBER: builtins.int
     HASH_FIELD_NUMBER: builtins.int
-    userId: builtins.str
-    """(Required) An identifier of the user which created the local relation"""
-    sessionId: builtins.str
-    """(Required) An identifier of the Spark SQL session in which the user created the local relation."""
     hash: builtins.str
     """(Required) A sha-256 hash of the serialized local relation in proto, see LocalRelation."""
     def __init__(
         self,
         *,
-        userId: builtins.str = ...,
-        sessionId: builtins.str = ...,
         hash: builtins.str = ...,
     ) -> None: ...
-    def ClearField(
-        self,
-        field_name: typing_extensions.Literal[
-            "hash", b"hash", "sessionId", b"sessionId", "userId", b"userId"
-        ],
-    ) -> None: ...
+    def ClearField(self, field_name: typing_extensions.Literal["hash", b"hash"]) -> None: ...
 
 global___CachedLocalRelation = CachedLocalRelation
 

From 6a2aa1d48c304095dcdf2816a46ec1f5a8af41a2 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Tue, 12 Sep 2023 00:29:38 -0700
Subject: [PATCH 377/986] [SPARK-45110][BUILD] Upgrade rocksdbjni to 8.5.3

### What changes were proposed in this pull request?
This pr aims to upgrade rocksdbjni from 8.3.2 to 8.5.3.

### Why are the changes needed?
1.The full release notes:
- https://github.com/facebook/rocksdb/releases/tag/v8.5.3
- https://github.com/facebook/rocksdb/releases/tag/v8.4.4
- https://github.com/facebook/rocksdb/releases/tag/v8.3.3

2.Bug Fixes:
<img width="841" alt="image" src="https://github.com/apache/spark/assets/15246973/879224c3-6f29-40d7-9c07-0f656fa2ff76">
- Fix a bug where if there is an error reading from offset 0 of a file from L1+ and that the file is not the first file in the sorted run, data can be lost in compaction and read/scan can return incorrect results.
- Fix a bug where iterator may return incorrect result for DeleteRange() users if there was an error reading from a file.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Pass GA.
- Manually test:
```
./build/mvn clean install -pl core -am -Dtest.exclude.tags=org.apache.spark.tags.ExtendedLevelDBTest -fn
...
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Spark Project Parent POM 4.0.0-SNAPSHOT:
[INFO]
[INFO] Spark Project Parent POM ........................... SUCCESS [  7.121 s]
[INFO] Spark Project Tags ................................. SUCCESS [ 10.181 s]
[INFO] Spark Project Local DB ............................. SUCCESS [ 21.153 s]
[INFO] Spark Project Common Utils ......................... SUCCESS [ 14.960 s]
[INFO] Spark Project Networking ........................... SUCCESS [01:01 min]
[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 16.992 s]
[INFO] Spark Project Unsafe ............................... SUCCESS [ 14.967 s]
[INFO] Spark Project Launcher ............................. SUCCESS [ 11.737 s]
[INFO] Spark Project Core ................................. SUCCESS [38:06 min]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time:  40:45 min
[INFO] Finished at: 2023-09-10T17:25:26+08:00
[INFO] ------------------------------------------------------------------------

```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42862 from panbingkun/SPARK-45110.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit fa2bc21ba1e6cbde31f33faa681f5a1c47219c69)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3         |   2 +-
 pom.xml                                       |   2 +-
 ...BasicOperationsBenchmark-jdk11-results.txt | 120 +++++++++---------
 ...BasicOperationsBenchmark-jdk17-results.txt | 120 +++++++++---------
 ...eStoreBasicOperationsBenchmark-results.txt | 120 +++++++++---------
 5 files changed, 182 insertions(+), 182 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 1d02f8dba567e..3d3f710e74cc4 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -227,7 +227,7 @@ parquet-jackson/1.13.1//parquet-jackson-1.13.1.jar
 pickle/1.3//pickle-1.3.jar
 py4j/0.10.9.7//py4j-0.10.9.7.jar
 remotetea-oncrpc/1.1.2//remotetea-oncrpc-1.1.2.jar
-rocksdbjni/8.3.2//rocksdbjni-8.3.2.jar
+rocksdbjni/8.5.3//rocksdbjni-8.5.3.jar
 scala-collection-compat_2.12/2.7.0//scala-collection-compat_2.12-2.7.0.jar
 scala-compiler/2.12.18//scala-compiler-2.12.18.jar
 scala-library/2.12.18//scala-library-2.12.18.jar
diff --git a/pom.xml b/pom.xml
index 8fc4b89a78cc2..70e1ee7156855 100644
--- a/pom.xml
+++ b/pom.xml
@@ -679,7 +679,7 @@
       <dependency>
         <groupId>org.rocksdb</groupId>
         <artifactId>rocksdbjni</artifactId>
-        <version>8.3.2</version>
+        <version>8.5.3</version>
       </dependency>
       <dependency>
         <groupId>${leveldbjni.group}</groupId>
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
index d5c175a320d3f..70e9849572c51 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                            9             11           2          1.1         872.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              61             63           1          0.2        6148.5       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             21             22           0          0.5        2108.9       0.4X
+In-memory                                                            8              9           1          1.3         770.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              62             63           1          0.2        6174.3       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             22             23           1          0.5        2220.7       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          9             10           1          1.1         872.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            51             53           1          0.2        5134.7       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2149.6       0.4X
+In-memory                                                          8              9           1          1.3         781.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            52             53           1          0.2        5196.0       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           22             24           1          0.4        2230.3       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8             10           1          1.2         833.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            41             43           1          0.2        4128.6       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2114.3       0.4X
+In-memory                                                          7              8           1          1.3         747.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            42             44           1          0.2        4224.4       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           22             23           1          0.4        2222.6       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                      8              9           1          1.2         812.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        39             40           1          0.3        3855.8       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       21             22           0          0.5        2111.9       0.4X
+In-memory                                                      7              8           1          1.3         740.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        40             42           1          0.2        4019.6       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       22             23           1          0.5        2201.9       0.3X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        1              1           0         15.7          63.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          39             41           0          0.3        3935.3       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         22             22           0          0.5        2158.8       0.0X
+In-memory                                                                                        1              1           0         16.7          59.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          40             41           1          0.3        3993.2       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         22             23           0          0.5        2187.3       0.0X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              7           0          1.7         597.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        51             53           0          0.2        5120.0       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2068.2       0.3X
+In-memory                                                                                      6              6           0          1.8         562.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        50             52           1          0.2        5035.8       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       22             22           1          0.5        2151.1       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      7              8           0          1.5         676.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        60             62           1          0.2        6040.0       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       21             21           0          0.5        2067.2       0.3X
+In-memory                                                                                      6              7           1          1.6         634.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        59             60           1          0.2        5878.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2144.5       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  7              8           0          1.5         684.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    62             64           1          0.2        6208.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   20             21           0          0.5        2030.6       0.3X
+In-memory                                                                                  6              7           0          1.6         631.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    61             63           1          0.2        6103.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   21             22           0          0.5        2112.1       0.3X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            6              7           0          1.6         643.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              65             66           1          0.2        6454.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             24             25           0          0.4        2379.3       0.3X
+In-memory                                                                            6              7           0          1.6         635.3       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              64             65           1          0.2        6371.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             23             24           1          0.4        2346.4       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           6              6           0          1.8         568.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             34             36           1          0.3        3383.3       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                            14             14           0          0.7        1390.8       0.4X
+In-memory                                                                           6              6           0          1.8         570.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             34             36           1          0.3        3410.5       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                            14             15           0          0.7        1412.9       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          5              5           0          2.1         474.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                            11             11           0          0.9        1082.8       0.4X
-RocksDB (trackTotalNumberOfRows: false)                                            7              7           0          1.4         693.5       0.7X
+In-memory                                                                          5              5           0          2.1         483.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                            11             11           0          0.9        1092.6       0.4X
+RocksDB (trackTotalNumberOfRows: false)                                            7              7           0          1.4         698.6       0.7X
 
-OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         14.8          67.4       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         5              5           0          2.0         501.7       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                        5              5           0          2.0         502.3       0.1X
+In-memory                                                                      1              1           0         15.7          63.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         5              5           0          2.0         499.7       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                        5              5           0          2.0         498.3       0.1X
 
 
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
index 5ec60f5beb90e..5424a55cd2012 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                            9              9           1          1.2         852.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              60             62           2          0.2        6009.7       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             21             23           1          0.5        2139.2       0.4X
+In-memory                                                           11             15           2          0.9        1067.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              78             85           3          0.1        7772.1       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             24             29           2          0.4        2384.6       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          9             10           1          1.2         861.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            50             52           1          0.2        5032.7       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             23           0          0.5        2110.3       0.4X
+In-memory                                                         10             14           2          1.0         984.8       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            62             70           3          0.2        6190.3       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           25             29           2          0.4        2467.9       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8              9           1          1.2         822.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            40             42           1          0.2        4043.3       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2070.5       0.4X
+In-memory                                                          9             13           2          1.1         949.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            48             56           3          0.2        4829.3       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           24             28           2          0.4        2373.0       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                      8              9           1          1.2         802.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        38             39           1          0.3        3773.1       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       21             22           0          0.5        2050.8       0.4X
+In-memory                                                     10             13           2          1.0         992.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        43             51           2          0.2        4331.3       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       24             28           2          0.4        2372.8       0.4X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        1              1           0         17.3          57.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          39             40           0          0.3        3903.8       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         21             22           0          0.5        2145.7       0.0X
+In-memory                                                                                        1              1           0         17.2          58.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          43             50           3          0.2        4300.0       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         23             27           2          0.4        2328.2       0.0X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              7           0          1.6         639.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        50             51           1          0.2        4996.4       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2136.3       0.3X
+In-memory                                                                                      7             10           2          1.4         722.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        62             68           3          0.2        6157.8       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       23             27           2          0.4        2303.3       0.3X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      7              8           0          1.5         688.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        58             59           1          0.2        5769.8       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       21             22           1          0.5        2111.7       0.3X
+In-memory                                                                                      8             11           2          1.2         829.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        71             80           3          0.1        7110.1       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       23             26           2          0.4        2259.8       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  7              8           0          1.4         706.4       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    60             61           0          0.2        6012.9       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   21             22           0          0.5        2135.2       0.3X
+In-memory                                                                                  8             11           2          1.2         806.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    74             83           4          0.1        7354.0       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   22             27           2          0.5        2197.1       0.4X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            7              8           0          1.4         724.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              61             62           1          0.2        6107.3       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             23             24           0          0.4        2337.9       0.3X
+In-memory                                                                            8             11           1          1.3         796.3       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              77             88           3          0.1        7695.2       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             23             27           2          0.4        2296.5       0.3X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           7              7           0          1.5         657.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             33             33           0          0.3        3266.8       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                            14             14           1          0.7        1366.6       0.5X
+In-memory                                                                           7             10           1          1.4         740.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             40             47           2          0.2        4010.7       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                            13             16           1          0.8        1301.1       0.6X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          6              6           0          1.8         560.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                            10             11           0          1.0        1006.6       0.6X
-RocksDB (trackTotalNumberOfRows: false)                                            6              6           0          1.6         630.5       0.9X
+In-memory                                                                          6              8           1          1.6         624.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                            12             15           1          0.8        1228.5       0.5X
+RocksDB (trackTotalNumberOfRows: false)                                            7              9           1          1.5         669.8       0.9X
 
-OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         15.3          65.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         4              5           0          2.3         431.5       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                        4              5           0          2.3         431.9       0.2X
+In-memory                                                                      1              1           0         15.8          63.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         5              6           1          2.0         508.5       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                        4              6           1          2.2         448.4       0.1X
 
 
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
index 7a9ef27a3884f..ae9f61457ca64 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                            7              9           1          1.4         720.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              79             92           6          0.1        7934.4       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             23             27           3          0.4        2263.3       0.3X
+In-memory                                                            8              8           1          1.3         759.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              59             60           1          0.2        5873.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             20             21           1          0.5        2008.5       0.4X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8             12           2          1.2         831.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            65             77           5          0.2        6476.8       0.1X
-RocksDB (trackTotalNumberOfRows: false)                           22             28           2          0.4        2235.4       0.4X
+In-memory                                                          8              8           0          1.3         782.8       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            50             52           1          0.2        5004.2       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             22           1          0.5        2079.1       0.4X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          7             10           2          1.4         728.4       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            47             57           4          0.2        4715.0       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           22             27           2          0.5        2207.1       0.3X
+In-memory                                                          8              9           1          1.3         774.8       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            41             42           1          0.2        4062.5       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             21           0          0.5        2055.8       0.4X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                      8             10           1          1.3         750.4       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        41             51           4          0.2        4116.2       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       20             25           2          0.5        1962.6       0.4X
+In-memory                                                      7              8           0          1.4         719.3       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        38             39           1          0.3        3830.2       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       20             21           0          0.5        2021.5       0.4X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        0              1           0         24.5          40.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          42             50           4          0.2        4170.1       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         19             24           2          0.5        1878.5       0.0X
+In-memory                                                                                        0              0           0         30.3          33.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          39             40           0          0.3        3855.9       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         20             21           1          0.5        2006.9       0.0X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              8           1          1.7         578.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        57             68           5          0.2        5697.0       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       19             24           2          0.5        1861.9       0.3X
+In-memory                                                                                      6              6           1          1.8         569.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        48             49           1          0.2        4819.1       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       20             21           0          0.5        1984.7       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              9           2          1.6         635.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        66             80           5          0.2        6605.7       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       19             24           2          0.5        1861.2       0.3X
+In-memory                                                                                      6              7           0          1.6         626.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        57             59           1          0.2        5701.7       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       20             21           1          0.5        2006.4       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  7              9           1          1.5         651.4       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    71             83           5          0.1        7108.8       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   18             24           2          0.6        1812.3       0.4X
+In-memory                                                                                  6              7           1          1.5         648.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    59             61           1          0.2        5927.9       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   20             21           0          0.5        1984.2       0.3X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            6              9           1          1.6         619.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              74             86           5          0.1        7380.0       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             22             27           2          0.4        2245.3       0.3X
+In-memory                                                                            6              7           0          1.6         632.1       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              59             61           1          0.2        5948.2       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             21             22           0          0.5        2123.5       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           6              8           1          1.7         579.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             40             47           3          0.3        3985.4       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                            12             15           1          0.8        1214.1       0.5X
+In-memory                                                                           6              6           0          1.8         555.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             31             32           1          0.3        3136.7       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                            13             13           0          0.8        1252.6       0.4X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          5              6           1          2.1         470.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                            11             13           1          0.9        1080.6       0.4X
-RocksDB (trackTotalNumberOfRows: false)                                            6              7           1          1.8         560.1       0.8X
+In-memory                                                                          5              5           0          2.2         463.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             9             10           0          1.1         937.6       0.5X
+RocksDB (trackTotalNumberOfRows: false)                                            6              6           0          1.8         562.7       0.8X
 
-OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         18.4          54.3       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         4              4           1          2.8         352.7       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                        3              4           1          3.0         328.0       0.2X
+In-memory                                                                      1              1           0         17.2          58.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         4              4           0          2.8         359.0       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                        4              4           0          2.8         354.8       0.2X
 
 

From ffa4127c774ea13b4d6bbcc82bc5a9bee23d7156 Mon Sep 17 00:00:00 2001
From: Giambattista Bloisi <gbloisi@gmail.com>
Date: Tue, 12 Sep 2023 16:16:04 +0200
Subject: [PATCH 378/986] [SPARK-45081][SQL] Encoders.bean does no longer work
 with read-only properties

### What changes were proposed in this pull request?
This PR re-enables Encoders.bean to be called against beans having read-only properties, that is properties that have only getters and no setter method. Beans with read only properties are even used in internal tests.
Setter methods of a Java bean encoder are stored within an Option wrapper because they are missing in case of read-only properties. When a java bean has to be initialized, setter methods for the bean properties have to be called: this PR filters out read-only properties from that process.

### Why are the changes needed?
The changes are required to avoid an exception to the thrown by getting the value of a None option object.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
An additional regression test has been added

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42829 from gbloisi-openaire/SPARK-45081.

Authored-by: Giambattista Bloisi <gbloisi@gmail.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit d8298bffd91de01299f9456b37e4454e8b4a6ae8)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../client/arrow/ArrowDeserializer.scala      | 20 ++++++++++---------
 .../catalyst/DeserializerBuildHelper.scala    |  4 +++-
 .../apache/spark/sql/JavaDatasetSuite.java    | 17 ++++++++++++++++
 3 files changed, 31 insertions(+), 10 deletions(-)

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
index cd54966ccf54d..9429578598712 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/arrow/ArrowDeserializer.scala
@@ -332,15 +332,17 @@ object ArrowDeserializers {
         val constructor =
           methodLookup.findConstructor(tag.runtimeClass, MethodType.methodType(classOf[Unit]))
         val lookup = createFieldLookup(vectors)
-        val setters = fields.map { field =>
-          val vector = lookup(field.name)
-          val deserializer = deserializerFor(field.enc, vector, timeZoneId)
-          val setter = methodLookup.findVirtual(
-            tag.runtimeClass,
-            field.writeMethod.get,
-            MethodType.methodType(classOf[Unit], field.enc.clsTag.runtimeClass))
-          (bean: Any, i: Int) => setter.invoke(bean, deserializer.get(i))
-        }
+        val setters = fields
+          .filter(_.writeMethod.isDefined)
+          .map { field =>
+            val vector = lookup(field.name)
+            val deserializer = deserializerFor(field.enc, vector, timeZoneId)
+            val setter = methodLookup.findVirtual(
+              tag.runtimeClass,
+              field.writeMethod.get,
+              MethodType.methodType(classOf[Unit], field.enc.clsTag.runtimeClass))
+            (bean: Any, i: Int) => setter.invoke(bean, deserializer.get(i))
+          }
         new StructFieldSerializer[Any](struct) {
           def value(i: Int): Any = {
             val instance = constructor.invoke()
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
index 16a7d7ff06526..0b88d5a4130e3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/DeserializerBuildHelper.scala
@@ -390,7 +390,9 @@ object DeserializerBuildHelper {
         CreateExternalRow(convertedFields, enc.schema))
 
     case JavaBeanEncoder(tag, fields) =>
-      val setters = fields.map { f =>
+      val setters = fields
+        .filter(_.writeMethod.isDefined)
+        .map { f =>
         val newTypePath = walkedTypePath.recordField(
           f.enc.clsTag.runtimeClass.getName,
           f.name)
diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
index 4f7cf8da78722..f416d411322ee 100644
--- a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
+++ b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
@@ -1783,6 +1783,23 @@ public void testEmptyBean() {
     Assert.assertEquals(1, df.collectAsList().size());
   }
 
+  public static class ReadOnlyPropertyBean implements Serializable {
+      public boolean isEmpty() {
+        return true;
+      }
+  }
+
+  @Test
+  public void testReadOnlyPropertyBean() {
+    ReadOnlyPropertyBean bean = new ReadOnlyPropertyBean();
+    List<ReadOnlyPropertyBean> data = Arrays.asList(bean);
+    Dataset<ReadOnlyPropertyBean> df = spark.createDataset(data,
+            Encoders.bean(ReadOnlyPropertyBean.class));
+    Assert.assertEquals(1, df.schema().length());
+    Assert.assertEquals(1, df.collectAsList().size());
+
+  }
+
   public class CircularReference1Bean implements Serializable {
     private CircularReference2Bean child;
 

From 6a2284feaac4f632d645a93361d29e693eeb9d32 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 12 Sep 2023 08:49:40 -0700
Subject: [PATCH 379/986] Revert "[SPARK-45110][BUILD] Upgrade rocksdbjni to
 8.5.3"

This reverts commit 6a2aa1d48c304095dcdf2816a46ec1f5a8af41a2.
---
 dev/deps/spark-deps-hadoop-3-hive-2.3         |   2 +-
 pom.xml                                       |   2 +-
 ...BasicOperationsBenchmark-jdk11-results.txt | 120 +++++++++---------
 ...BasicOperationsBenchmark-jdk17-results.txt | 120 +++++++++---------
 ...eStoreBasicOperationsBenchmark-results.txt | 120 +++++++++---------
 5 files changed, 182 insertions(+), 182 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 3d3f710e74cc4..1d02f8dba567e 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -227,7 +227,7 @@ parquet-jackson/1.13.1//parquet-jackson-1.13.1.jar
 pickle/1.3//pickle-1.3.jar
 py4j/0.10.9.7//py4j-0.10.9.7.jar
 remotetea-oncrpc/1.1.2//remotetea-oncrpc-1.1.2.jar
-rocksdbjni/8.5.3//rocksdbjni-8.5.3.jar
+rocksdbjni/8.3.2//rocksdbjni-8.3.2.jar
 scala-collection-compat_2.12/2.7.0//scala-collection-compat_2.12-2.7.0.jar
 scala-compiler/2.12.18//scala-compiler-2.12.18.jar
 scala-library/2.12.18//scala-library-2.12.18.jar
diff --git a/pom.xml b/pom.xml
index 70e1ee7156855..8fc4b89a78cc2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -679,7 +679,7 @@
       <dependency>
         <groupId>org.rocksdb</groupId>
         <artifactId>rocksdbjni</artifactId>
-        <version>8.5.3</version>
+        <version>8.3.2</version>
       </dependency>
       <dependency>
         <groupId>${leveldbjni.group}</groupId>
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
index 70e9849572c51..d5c175a320d3f 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk11-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                            8              9           1          1.3         770.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              62             63           1          0.2        6174.3       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             22             23           1          0.5        2220.7       0.3X
+In-memory                                                            9             11           2          1.1         872.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              61             63           1          0.2        6148.5       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             21             22           0          0.5        2108.9       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8              9           1          1.3         781.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            52             53           1          0.2        5196.0       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           22             24           1          0.4        2230.3       0.4X
+In-memory                                                          9             10           1          1.1         872.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            51             53           1          0.2        5134.7       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2149.6       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          7              8           1          1.3         747.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            42             44           1          0.2        4224.4       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           22             23           1          0.4        2222.6       0.3X
+In-memory                                                          8             10           1          1.2         833.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            41             43           1          0.2        4128.6       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2114.3       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                      7              8           1          1.3         740.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        40             42           1          0.2        4019.6       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       22             23           1          0.5        2201.9       0.3X
+In-memory                                                      8              9           1          1.2         812.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        39             40           1          0.3        3855.8       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       21             22           0          0.5        2111.9       0.4X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        1              1           0         16.7          59.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          40             41           1          0.3        3993.2       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         22             23           0          0.5        2187.3       0.0X
+In-memory                                                                                        1              1           0         15.7          63.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          39             41           0          0.3        3935.3       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         22             22           0          0.5        2158.8       0.0X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              6           0          1.8         562.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        50             52           1          0.2        5035.8       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       22             22           1          0.5        2151.1       0.3X
+In-memory                                                                                      6              7           0          1.7         597.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        51             53           0          0.2        5120.0       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2068.2       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              7           1          1.6         634.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        59             60           1          0.2        5878.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2144.5       0.3X
+In-memory                                                                                      7              8           0          1.5         676.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        60             62           1          0.2        6040.0       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       21             21           0          0.5        2067.2       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  6              7           0          1.6         631.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    61             63           1          0.2        6103.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   21             22           0          0.5        2112.1       0.3X
+In-memory                                                                                  7              8           0          1.5         684.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    62             64           1          0.2        6208.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   20             21           0          0.5        2030.6       0.3X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            6              7           0          1.6         635.3       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              64             65           1          0.2        6371.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             23             24           1          0.4        2346.4       0.3X
+In-memory                                                                            6              7           0          1.6         643.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              65             66           1          0.2        6454.6       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             24             25           0          0.4        2379.3       0.3X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           6              6           0          1.8         570.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             34             36           1          0.3        3410.5       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                            14             15           0          0.7        1412.9       0.4X
+In-memory                                                                           6              6           0          1.8         568.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             34             36           1          0.3        3383.3       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                            14             14           0          0.7        1390.8       0.4X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          5              5           0          2.1         483.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                            11             11           0          0.9        1092.6       0.4X
-RocksDB (trackTotalNumberOfRows: false)                                            7              7           0          1.4         698.6       0.7X
+In-memory                                                                          5              5           0          2.1         474.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                            11             11           0          0.9        1082.8       0.4X
+RocksDB (trackTotalNumberOfRows: false)                                            7              7           0          1.4         693.5       0.7X
 
-OpenJDK 64-Bit Server VM 11.0.20.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 11.0.19+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         15.7          63.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         5              5           0          2.0         499.7       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                        5              5           0          2.0         498.3       0.1X
+In-memory                                                                      1              1           0         14.8          67.4       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         5              5           0          2.0         501.7       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                        5              5           0          2.0         502.3       0.1X
 
 
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
index 5424a55cd2012..5ec60f5beb90e 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-jdk17-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                           11             15           2          0.9        1067.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              78             85           3          0.1        7772.1       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             24             29           2          0.4        2384.6       0.4X
+In-memory                                                            9              9           1          1.2         852.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              60             62           2          0.2        6009.7       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             21             23           1          0.5        2139.2       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                         10             14           2          1.0         984.8       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            62             70           3          0.2        6190.3       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           25             29           2          0.4        2467.9       0.4X
+In-memory                                                          9             10           1          1.2         861.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            50             52           1          0.2        5032.7       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             23           0          0.5        2110.3       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          9             13           2          1.1         949.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            48             56           3          0.2        4829.3       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           24             28           2          0.4        2373.0       0.4X
+In-memory                                                          8              9           1          1.2         822.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            40             42           1          0.2        4043.3       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           21             22           0          0.5        2070.5       0.4X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                     10             13           2          1.0         992.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        43             51           2          0.2        4331.3       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       24             28           2          0.4        2372.8       0.4X
+In-memory                                                      8              9           1          1.2         802.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        38             39           1          0.3        3773.1       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       21             22           0          0.5        2050.8       0.4X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        1              1           0         17.2          58.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          43             50           3          0.2        4300.0       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         23             27           2          0.4        2328.2       0.0X
+In-memory                                                                                        1              1           0         17.3          57.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          39             40           0          0.3        3903.8       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         21             22           0          0.5        2145.7       0.0X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      7             10           2          1.4         722.7       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        62             68           3          0.2        6157.8       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       23             27           2          0.4        2303.3       0.3X
+In-memory                                                                                      6              7           0          1.6         639.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        50             51           1          0.2        4996.4       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       21             22           0          0.5        2136.3       0.3X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      8             11           2          1.2         829.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        71             80           3          0.1        7110.1       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       23             26           2          0.4        2259.8       0.4X
+In-memory                                                                                      7              8           0          1.5         688.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        58             59           1          0.2        5769.8       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       21             22           1          0.5        2111.7       0.3X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  8             11           2          1.2         806.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    74             83           4          0.1        7354.0       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   22             27           2          0.5        2197.1       0.4X
+In-memory                                                                                  7              8           0          1.4         706.4       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    60             61           0          0.2        6012.9       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   21             22           0          0.5        2135.2       0.3X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            8             11           1          1.3         796.3       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              77             88           3          0.1        7695.2       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             23             27           2          0.4        2296.5       0.3X
+In-memory                                                                            7              8           0          1.4         724.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              61             62           1          0.2        6107.3       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             23             24           0          0.4        2337.9       0.3X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           7             10           1          1.4         740.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             40             47           2          0.2        4010.7       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                            13             16           1          0.8        1301.1       0.6X
+In-memory                                                                           7              7           0          1.5         657.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             33             33           0          0.3        3266.8       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                            14             14           1          0.7        1366.6       0.5X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          6              8           1          1.6         624.9       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                            12             15           1          0.8        1228.5       0.5X
-RocksDB (trackTotalNumberOfRows: false)                                            7              9           1          1.5         669.8       0.9X
+In-memory                                                                          6              6           0          1.8         560.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                            10             11           0          1.0        1006.6       0.6X
+RocksDB (trackTotalNumberOfRows: false)                                            6              6           0          1.6         630.5       0.9X
 
-OpenJDK 64-Bit Server VM 17.0.8.1+1 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
+OpenJDK 64-Bit Server VM 17.0.7+7 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         15.8          63.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         5              6           1          2.0         508.5       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                        4              6           1          2.2         448.4       0.1X
+In-memory                                                                      1              1           0         15.3          65.5       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         4              5           0          2.3         431.5       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                        4              5           0          2.3         431.9       0.2X
 
 
diff --git a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
index ae9f61457ca64..7a9ef27a3884f 100644
--- a/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
+++ b/sql/core/benchmarks/StateStoreBasicOperationsBenchmark-results.txt
@@ -2,110 +2,110 @@
 put rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (10000 rows to overwrite - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                            8              8           1          1.3         759.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                              59             60           1          0.2        5873.6       0.1X
-RocksDB (trackTotalNumberOfRows: false)                             20             21           1          0.5        2008.5       0.4X
+In-memory                                                            7              9           1          1.4         720.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                              79             92           6          0.1        7934.4       0.1X
+RocksDB (trackTotalNumberOfRows: false)                             23             27           3          0.4        2263.3       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (5000 rows to overwrite - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8              8           0          1.3         782.8       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            50             52           1          0.2        5004.2       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             22           1          0.5        2079.1       0.4X
+In-memory                                                          8             12           2          1.2         831.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            65             77           5          0.2        6476.8       0.1X
+RocksDB (trackTotalNumberOfRows: false)                           22             28           2          0.4        2235.4       0.4X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (1000 rows to overwrite - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                          8              9           1          1.3         774.8       1.0X
-RocksDB (trackTotalNumberOfRows: true)                            41             42           1          0.2        4062.5       0.2X
-RocksDB (trackTotalNumberOfRows: false)                           21             21           0          0.5        2055.8       0.4X
+In-memory                                                          7             10           2          1.4         728.4       1.0X
+RocksDB (trackTotalNumberOfRows: true)                            47             57           4          0.2        4715.0       0.2X
+RocksDB (trackTotalNumberOfRows: false)                           22             27           2          0.5        2207.1       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 putting 10000 rows (0 rows to overwrite - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ---------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                      7              8           0          1.4         719.3       1.0X
-RocksDB (trackTotalNumberOfRows: true)                        38             39           1          0.3        3830.2       0.2X
-RocksDB (trackTotalNumberOfRows: false)                       20             21           0          0.5        2021.5       0.4X
+In-memory                                                      8             10           1          1.3         750.4       1.0X
+RocksDB (trackTotalNumberOfRows: true)                        41             51           4          0.2        4116.2       0.2X
+RocksDB (trackTotalNumberOfRows: false)                       20             25           2          0.5        1962.6       0.4X
 
 
 ================================================================================================
 delete rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(10000 rows are non-existing - rate 100):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                        0              0           0         30.3          33.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                          39             40           0          0.3        3855.9       0.0X
-RocksDB (trackTotalNumberOfRows: false)                                                         20             21           1          0.5        2006.9       0.0X
+In-memory                                                                                        0              1           0         24.5          40.9       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                          42             50           4          0.2        4170.1       0.0X
+RocksDB (trackTotalNumberOfRows: false)                                                         19             24           2          0.5        1878.5       0.0X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(5000 rows are non-existing - rate 50):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              6           1          1.8         569.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        48             49           1          0.2        4819.1       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       20             21           0          0.5        1984.7       0.3X
+In-memory                                                                                      6              8           1          1.7         578.7       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        57             68           5          0.2        5697.0       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       19             24           2          0.5        1861.9       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(1000 rows are non-existing - rate 10):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                      6              7           0          1.6         626.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                        57             59           1          0.2        5701.7       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                       20             21           1          0.5        2006.4       0.3X
+In-memory                                                                                      6              9           2          1.6         635.0       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                        66             80           5          0.2        6605.7       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                       19             24           2          0.5        1861.2       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 trying to delete 10000 rows from 10000 rows(0 rows are non-existing - rate 0):  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                                  6              7           1          1.5         648.5       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                                    59             61           1          0.2        5927.9       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                                   20             21           0          0.5        1984.2       0.3X
+In-memory                                                                                  7              9           1          1.5         651.4       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                                    71             83           5          0.1        7108.8       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                                   18             24           2          0.6        1812.3       0.4X
 
 
 ================================================================================================
 evict rows
 ================================================================================================
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 10000 rows (maxTimestampToEvictInMillis: 9999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                            6              7           0          1.6         632.1       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                              59             61           1          0.2        5948.2       0.1X
-RocksDB (trackTotalNumberOfRows: false)                                             21             22           0          0.5        2123.5       0.3X
+In-memory                                                                            6              9           1          1.6         619.6       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                              74             86           5          0.1        7380.0       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                             22             27           2          0.4        2245.3       0.3X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 5000 rows (maxTimestampToEvictInMillis: 4999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 ------------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                           6              6           0          1.8         555.2       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             31             32           1          0.3        3136.7       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                            13             13           0          0.8        1252.6       0.4X
+In-memory                                                                           6              8           1          1.7         579.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                             40             47           3          0.3        3985.4       0.1X
+RocksDB (trackTotalNumberOfRows: false)                                            12             15           1          0.8        1214.1       0.5X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 1000 rows (maxTimestampToEvictInMillis: 999) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -----------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                          5              5           0          2.2         463.6       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                             9             10           0          1.1         937.6       0.5X
-RocksDB (trackTotalNumberOfRows: false)                                            6              6           0          1.8         562.7       0.8X
+In-memory                                                                          5              6           1          2.1         470.2       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                            11             13           1          0.9        1080.6       0.4X
+RocksDB (trackTotalNumberOfRows: false)                                            6              7           1          1.8         560.1       0.8X
 
-OpenJDK 64-Bit Server VM 1.8.0_382-b05 on Linux 5.15.0-1045-azure
-Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
+OpenJDK 64-Bit Server VM 1.8.0_372-b07 on Linux 5.15.0-1040-azure
+Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
 evicting 0 rows (maxTimestampToEvictInMillis: -1) from 10000 rows:  Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 -------------------------------------------------------------------------------------------------------------------------------------------------
-In-memory                                                                      1              1           0         17.2          58.0       1.0X
-RocksDB (trackTotalNumberOfRows: true)                                         4              4           0          2.8         359.0       0.2X
-RocksDB (trackTotalNumberOfRows: false)                                        4              4           0          2.8         354.8       0.2X
+In-memory                                                                      1              1           0         18.4          54.3       1.0X
+RocksDB (trackTotalNumberOfRows: true)                                         4              4           1          2.8         352.7       0.2X
+RocksDB (trackTotalNumberOfRows: false)                                        3              4           1          3.0         328.0       0.2X
 
 

From 4e44d929005ac457fc853b256c02fd93f35fcceb Mon Sep 17 00:00:00 2001
From: Supun Nakandala <supun.nakandala@databricks.com>
Date: Tue, 12 Sep 2023 23:52:22 +0800
Subject: [PATCH 380/986] [SPARK-45117][SQL] Implement missing otherCopyArgs
 for the MultiCommutativeOp expression

### What changes were proposed in this pull request?
- This PR implements the missing otherCopyArgs in the MultiCommutativeOp expression

### Why are the changes needed?
- Without this method implementation, calling toJSON will throw an exception from the TreeNode::jsonFields method.
- This is because the jsonFields method has an assertion that the number of fields defined in the constructor is equal to the number of field values (productIterator.toSeq ++ otherCopyArgs).
- The originalRoot field of the MultiCommutativeOp is not part of the productIterator. Hence, it has to be explicitly set in the otherCopyArgs field.

### Does this PR introduce _any_ user-facing change?
- No

### How was this patch tested?
- Added unit test

### Was this patch authored or co-authored using generative AI tooling?
- No

Closes #42873 from db-scnakandala/multi-commutative-op.

Authored-by: Supun Nakandala <supun.nakandala@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d999f622dc68b4fb2734e2ac7cbe203b062c257f)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/catalyst/expressions/Expression.scala |  2 ++
 .../catalyst/expressions/CanonicalizeSuite.scala    | 13 +++++++++++++
 2 files changed, 15 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala
index c2330cdb59dbc..bd7369e57b057 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala
@@ -1410,4 +1410,6 @@ case class MultiCommutativeOp(
 
   override protected def withNewChildrenInternal(newChildren: IndexedSeq[Expression]): Expression =
     this.copy(operands = newChildren)(originalRoot)
+
+  override protected final def otherCopyArgs: Seq[AnyRef] = originalRoot :: Nil
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
index 0e22b0d2876d7..89175ea1970cc 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
@@ -338,4 +338,17 @@ class CanonicalizeSuite extends SparkFunSuite {
 
     SQLConf.get.setConfString(MULTI_COMMUTATIVE_OP_OPT_THRESHOLD.key, default.toString)
   }
+
+  test("toJSON works properly with MultiCommutativeOp") {
+    val default = SQLConf.get.getConf(MULTI_COMMUTATIVE_OP_OPT_THRESHOLD)
+    SQLConf.get.setConfString(MULTI_COMMUTATIVE_OP_OPT_THRESHOLD.key, "1")
+
+    val d = Decimal(1.2)
+    val literal1 = Literal.create(d, DecimalType(2, 1))
+    val literal2 = Literal.create(d, DecimalType(2, 1))
+    val literal3 = Literal.create(d, DecimalType(3, 2))
+    val op = Add(literal1, Add(literal2, literal3))
+    assert(op.canonicalized.toJSON.nonEmpty)
+    SQLConf.get.setConfString(MULTI_COMMUTATIVE_OP_OPT_THRESHOLD.key, default.toString)
+  }
 }

From af8c0b999be746b661efe2439ac015a0c7d12c00 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Tue, 12 Sep 2023 16:48:26 +0200
Subject: [PATCH 381/986] [SPARK-44872][CONNECT] Server testing infra and
 ReattachableExecuteSuite

### What changes were proposed in this pull request?

Add `SparkConnectServerTest` with infra to test real server with real client in the same process, but communicating over RPC.

Add `ReattachableExecuteSuite` with some tests for reattachable execute.

Two bugs were found by the tests:
* Fix bug in `SparkConnectExecutionManager.createExecuteHolder` when attempting to resubmit an operation that was deemed abandoned. This bug is benign in reattachable execute, because reattachable execute would first send a ReattachExecute, which would be handled correctly in SparkConnectReattachExecuteHandler. For non-reattachable execute (disabled or old client), this is also a very unlikely scenario, because the retrying mechanism should be able to resubmit before the query is declared abandoned, and hence get an INVALID_HANDLE.OPERATION_ALREADY_EXISTS. This bug can manifest only if a non-reattachable execution is retried with so much delay that the operation was declared abandoned.
* In `ExecuteGrpcResponseSender` there was an assertion that assumed that if `sendResponse` did not send, it was because deadline was reached. But it can also be because of interrupt. This would have resulted in interrupt returning an assertion error instead of CURSOR_DISCONNECTED in testing. Outside of testing assertions are not enabled, so this was not a problem outside of testing.

### Why are the changes needed?

Testing of reattachable execute.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Tests added.

Closes #42560 from juliuszsompolski/sc-reattachable-tests.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 4b96add471d292ed5c63ccc625489ff78cfb9b25)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../connect/client/CloseableIterator.scala    |  22 +-
 .../CustomSparkConnectBlockingStub.scala      |   2 +-
 ...cutePlanResponseReattachableIterator.scala |  18 +-
 .../client/GrpcExceptionConverter.scala       |   5 +-
 .../sql/connect/client/GrpcRetryHandler.scala |   4 +-
 .../execution/ExecuteGrpcResponseSender.scala |  17 +-
 .../execution/ExecuteResponseObserver.scala   |   8 +-
 .../sql/connect/service/ExecuteHolder.scala   |  10 +
 .../SparkConnectExecutionManager.scala        |  40 +-
 .../sql/connect/SparkConnectServerTest.scala  | 261 +++++++++++++
 .../execution/ReattachableExecuteSuite.scala  | 352 ++++++++++++++++++
 .../org/apache/spark/SparkFunSuite.scala      |  24 ++
 12 files changed, 735 insertions(+), 28 deletions(-)
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
 create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
index 891e50ed6e7bd..d3fc9963edc7a 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
@@ -27,6 +27,20 @@ private[sql] trait CloseableIterator[E] extends Iterator[E] with AutoCloseable {
   }
 }
 
+private[sql] abstract class WrappedCloseableIterator[E] extends CloseableIterator[E] {
+
+  def innerIterator: Iterator[E]
+
+  override def next(): E = innerIterator.next()
+
+  override def hasNext(): Boolean = innerIterator.hasNext
+
+  override def close(): Unit = innerIterator match {
+    case it: CloseableIterator[E] => it.close()
+    case _ => // nothing
+  }
+}
+
 private[sql] object CloseableIterator {
 
   /**
@@ -35,12 +49,8 @@ private[sql] object CloseableIterator {
   def apply[T](iterator: Iterator[T]): CloseableIterator[T] = iterator match {
     case closeable: CloseableIterator[T] => closeable
     case _ =>
-      new CloseableIterator[T] {
-        override def next(): T = iterator.next()
-
-        override def hasNext(): Boolean = iterator.hasNext
-
-        override def close() = { /* empty */ }
+      new WrappedCloseableIterator[T] {
+        override def innerIterator = iterator
       }
   }
 }
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
index 73ff01e223f29..80edcfa8be16a 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CustomSparkConnectBlockingStub.scala
@@ -22,7 +22,7 @@ import io.grpc.ManagedChannel
 
 import org.apache.spark.connect.proto._
 
-private[client] class CustomSparkConnectBlockingStub(
+private[connect] class CustomSparkConnectBlockingStub(
     channel: ManagedChannel,
     retryPolicy: GrpcRetryHandler.RetryPolicy) {
 
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
index 9bf7de33da8a7..57a629264be10 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/ExecutePlanResponseReattachableIterator.scala
@@ -18,6 +18,7 @@ package org.apache.spark.sql.connect.client
 
 import java.util.UUID
 
+import scala.collection.JavaConverters._
 import scala.util.control.NonFatal
 
 import io.grpc.{ManagedChannel, StatusRuntimeException}
@@ -50,7 +51,7 @@ class ExecutePlanResponseReattachableIterator(
     request: proto.ExecutePlanRequest,
     channel: ManagedChannel,
     retryPolicy: GrpcRetryHandler.RetryPolicy)
-    extends CloseableIterator[proto.ExecutePlanResponse]
+    extends WrappedCloseableIterator[proto.ExecutePlanResponse]
     with Logging {
 
   val operationId = if (request.hasOperationId) {
@@ -86,14 +87,25 @@ class ExecutePlanResponseReattachableIterator(
   // True after ResultComplete message was seen in the stream.
   // Server will always send this message at the end of the stream, if the underlying iterator
   // finishes without producing one, another iterator needs to be reattached.
-  private var resultComplete: Boolean = false
+  // Visible for testing.
+  private[connect] var resultComplete: Boolean = false
 
   // Initial iterator comes from ExecutePlan request.
   // Note: This is not retried, because no error would ever be thrown here, and GRPC will only
   // throw error on first iter.hasNext() or iter.next()
-  private var iter: Option[java.util.Iterator[proto.ExecutePlanResponse]] =
+  // Visible for testing.
+  private[connect] var iter: Option[java.util.Iterator[proto.ExecutePlanResponse]] =
     Some(rawBlockingStub.executePlan(initialRequest))
 
+  override def innerIterator: Iterator[proto.ExecutePlanResponse] = iter match {
+    case Some(it) => it.asScala
+    case None =>
+      // The iterator is only unset for short moments while retry exception is thrown.
+      // It should only happen in the middle of internal processing. Since this iterator is not
+      // thread safe, no-one should be accessing it at this moment.
+      throw new IllegalStateException("innerIterator unset")
+  }
+
   override def next(): proto.ExecutePlanResponse = synchronized {
     // hasNext will trigger reattach in case the stream completed without resultComplete
     if (!hasNext()) {
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
index c430485bd4184..fe9f6dc2b4a9a 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcExceptionConverter.scala
@@ -43,7 +43,10 @@ private[client] object GrpcExceptionConverter extends JsonUtils {
   }
 
   def convertIterator[T](iter: CloseableIterator[T]): CloseableIterator[T] = {
-    new CloseableIterator[T] {
+    new WrappedCloseableIterator[T] {
+
+      override def innerIterator: Iterator[T] = iter
+
       override def hasNext: Boolean = {
         convert {
           iter.hasNext
diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
index 8791530607c3a..3c0b750fd46e7 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/GrpcRetryHandler.scala
@@ -48,11 +48,13 @@ private[sql] class GrpcRetryHandler(
    *   The type of the response.
    */
   class RetryIterator[T, U](request: T, call: T => CloseableIterator[U])
-      extends CloseableIterator[U] {
+      extends WrappedCloseableIterator[U] {
 
     private var opened = false // we only retry if it fails on first call when using the iterator
     private var iter = call(request)
 
+    override def innerIterator: Iterator[U] = iter
+
     private def retryIter[V](f: Iterator[U] => V) = {
       if (!opened) {
         opened = true
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
index 6b8fcde1156ed..c3c33a85d6517 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteGrpcResponseSender.scala
@@ -47,6 +47,9 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
 
   private var interrupted = false
 
+  // Time at which this sender should finish if the response stream is not finished by then.
+  private var deadlineTimeMillis = Long.MaxValue
+
   // Signal to wake up when grpcCallObserver.isReady()
   private val grpcCallObserverReadySignal = new Object
 
@@ -65,6 +68,12 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
     executionObserver.notifyAll()
   }
 
+  // For testing
+  private[connect] def setDeadline(deadlineMs: Long) = executionObserver.synchronized {
+    deadlineTimeMillis = deadlineMs
+    executionObserver.notifyAll()
+  }
+
   def run(lastConsumedStreamIndex: Long): Unit = {
     if (executeHolder.reattachable) {
       // In reattachable execution we use setOnReadyHandler and grpcCallObserver.isReady to control
@@ -150,7 +159,7 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
     var finished = false
 
     // Time at which this sender should finish if the response stream is not finished by then.
-    val deadlineTimeMillis = if (!executeHolder.reattachable) {
+    deadlineTimeMillis = if (!executeHolder.reattachable) {
       Long.MaxValue
     } else {
       val confSize =
@@ -232,8 +241,8 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
           assert(finished == false)
         } else {
           // If it wasn't sent, time deadline must have been reached before stream became available,
-          // will exit in the enxt loop iterattion.
-          assert(deadlineLimitReached)
+          // or it was intterupted. Will exit in the next loop iterattion.
+          assert(deadlineLimitReached || interrupted)
         }
       } else if (streamFinished) {
         // Stream is finished and all responses have been sent
@@ -301,7 +310,7 @@ private[connect] class ExecuteGrpcResponseSender[T <: Message](
         val sleepStart = System.nanoTime()
         var sleepEnd = 0L
         // Conditions for exiting the inner loop
-        // 1. was detached
+        // 1. was interrupted
         // 2. grpcCallObserver is ready to send more data
         // 3. time deadline is reached
         while (!interrupted &&
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
index d9db07fd228ed..df0fb3ac3a592 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteResponseObserver.scala
@@ -73,11 +73,16 @@ private[connect] class ExecuteResponseObserver[T <: Message](val executeHolder:
   /** The index of the last response produced by execution. */
   private var lastProducedIndex: Long = 0 // first response will have index 1
 
+  // For testing
+  private[connect] var releasedUntilIndex: Long = 0
+
   /**
    * Highest response index that was consumed. Keeps track of it to decide which responses needs
    * to be cached, and to assert that all responses are consumed.
+   *
+   * Visible for testing.
    */
-  private var highestConsumedIndex: Long = 0
+  private[connect] var highestConsumedIndex: Long = 0
 
   /**
    * Consumer that waits for available responses. There can be only one at a time, @see
@@ -284,6 +289,7 @@ private[connect] class ExecuteResponseObserver[T <: Message](val executeHolder:
       responses.remove(i)
       i -= 1
     }
+    releasedUntilIndex = index
   }
 
   /**
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index bce0713339228..974c13b08e318 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -183,6 +183,16 @@ private[connect] class ExecuteHolder(
     }
   }
 
+  // For testing.
+  private[connect] def setGrpcResponseSendersDeadline(deadlineMs: Long) = synchronized {
+    grpcResponseSenders.foreach(_.setDeadline(deadlineMs))
+  }
+
+  // For testing
+  private[connect] def interruptGrpcResponseSenders() = synchronized {
+    grpcResponseSenders.foreach(_.interrupt())
+  }
+
   /**
    * For a short period in ExecutePlan after creation and until runGrpcResponseSender is called,
    * there is no attached response sender, but yet we start with lastAttachedRpcTime = None, so we
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala
index ce1f6c93f6cfe..21f59bdd68ea5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectExecutionManager.scala
@@ -71,15 +71,14 @@ private[connect] class SparkConnectExecutionManager() extends Logging {
       // The latter is to prevent double execution when a client retries execution, thinking it
       // never reached the server, but in fact it did, and already got removed as abandoned.
       if (executions.get(executeHolder.key).isDefined) {
-        if (getAbandonedTombstone(executeHolder.key).isDefined) {
-          throw new SparkSQLException(
-            errorClass = "INVALID_HANDLE.OPERATION_ABANDONED",
-            messageParameters = Map("handle" -> executeHolder.operationId))
-        } else {
-          throw new SparkSQLException(
-            errorClass = "INVALID_HANDLE.OPERATION_ALREADY_EXISTS",
-            messageParameters = Map("handle" -> executeHolder.operationId))
-        }
+        throw new SparkSQLException(
+          errorClass = "INVALID_HANDLE.OPERATION_ALREADY_EXISTS",
+          messageParameters = Map("handle" -> executeHolder.operationId))
+      }
+      if (getAbandonedTombstone(executeHolder.key).isDefined) {
+        throw new SparkSQLException(
+          errorClass = "INVALID_HANDLE.OPERATION_ABANDONED",
+          messageParameters = Map("handle" -> executeHolder.operationId))
       }
       sessionHolder.addExecuteHolder(executeHolder)
       executions.put(executeHolder.key, executeHolder)
@@ -141,12 +140,17 @@ private[connect] class SparkConnectExecutionManager() extends Logging {
     abandonedTombstones.asMap.asScala.values.toBuffer.toSeq
   }
 
-  private[service] def shutdown(): Unit = executionsLock.synchronized {
+  private[connect] def shutdown(): Unit = executionsLock.synchronized {
     scheduledExecutor.foreach { executor =>
       executor.shutdown()
       executor.awaitTermination(1, TimeUnit.MINUTES)
     }
     scheduledExecutor = None
+    executions.clear()
+    abandonedTombstones.invalidateAll()
+    if (!lastExecutionTime.isDefined) {
+      lastExecutionTime = Some(System.currentTimeMillis())
+    }
   }
 
   /**
@@ -188,7 +192,7 @@ private[connect] class SparkConnectExecutionManager() extends Logging {
       executions.values.foreach { executeHolder =>
         executeHolder.lastAttachedRpcTime match {
           case Some(detached) =>
-            if (detached + timeout < nowMs) {
+            if (detached + timeout <= nowMs) {
               toRemove += executeHolder
             }
           case _ => // execution is active
@@ -206,4 +210,18 @@ private[connect] class SparkConnectExecutionManager() extends Logging {
     }
     logInfo("Finished periodic run of SparkConnectExecutionManager maintenance.")
   }
+
+  // For testing.
+  private[connect] def setAllRPCsDeadline(deadlineMs: Long) = executionsLock.synchronized {
+    executions.values.foreach(_.setGrpcResponseSendersDeadline(deadlineMs))
+  }
+
+  // For testing.
+  private[connect] def interruptAllRPCs() = executionsLock.synchronized {
+    executions.values.foreach(_.interruptGrpcResponseSenders())
+  }
+
+  private[connect] def listExecuteHolders = executionsLock.synchronized {
+    executions.values.toBuffer.toSeq
+  }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
new file mode 100644
index 0000000000000..488858d33ea12
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
@@ -0,0 +1,261 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect
+
+import java.util.UUID
+
+import org.scalatest.concurrent.{Eventually, TimeLimits}
+import org.scalatest.time.Span
+import org.scalatest.time.SpanSugar._
+
+import org.apache.spark.connect.proto
+import org.apache.spark.sql.connect.client.{CloseableIterator, CustomSparkConnectBlockingStub, ExecutePlanResponseReattachableIterator, GrpcRetryHandler, SparkConnectClient, WrappedCloseableIterator}
+import org.apache.spark.sql.connect.common.config.ConnectCommon
+import org.apache.spark.sql.connect.config.Connect
+import org.apache.spark.sql.connect.dsl.MockRemoteSession
+import org.apache.spark.sql.connect.dsl.plans._
+import org.apache.spark.sql.connect.service.{ExecuteHolder, SparkConnectService}
+import org.apache.spark.sql.test.SharedSparkSession
+
+/**
+ * Base class and utilities for a test suite that starts and tests the real SparkConnectService
+ * with a real SparkConnectClient, communicating over RPC, but both in-process.
+ */
+class SparkConnectServerTest extends SharedSparkSession {
+
+  // Server port
+  val serverPort: Int =
+    ConnectCommon.CONNECT_GRPC_BINDING_PORT + util.Random.nextInt(1000)
+
+  val eventuallyTimeout = 30.seconds
+
+  override def beforeAll(): Unit = {
+    super.beforeAll()
+    // Other suites using mocks leave a mess in the global executionManager,
+    // shut it down so that it's cleared before starting server.
+    SparkConnectService.executionManager.shutdown()
+    // Start the real service.
+    withSparkEnvConfs((Connect.CONNECT_GRPC_BINDING_PORT.key, serverPort.toString)) {
+      SparkConnectService.start(spark.sparkContext)
+    }
+    // register udf directly on the server, we're not testing client UDFs here...
+    val serverSession =
+      SparkConnectService.getOrCreateIsolatedSession(defaultUserId, defaultSessionId).session
+    serverSession.udf.register("sleep", ((ms: Int) => { Thread.sleep(ms); ms }))
+  }
+
+  override def afterAll(): Unit = {
+    SparkConnectService.stop()
+    super.afterAll()
+  }
+
+  override def beforeEach(): Unit = {
+    super.beforeEach()
+    clearAllExecutions()
+  }
+
+  override def afterEach(): Unit = {
+    clearAllExecutions()
+    super.afterEach()
+  }
+
+  protected def clearAllExecutions(): Unit = {
+    SparkConnectService.executionManager.listExecuteHolders.foreach(_.close())
+    SparkConnectService.executionManager.periodicMaintenance(0)
+    assertNoActiveExecutions()
+  }
+
+  protected val defaultSessionId = UUID.randomUUID.toString()
+  protected val defaultUserId = UUID.randomUUID.toString()
+
+  // We don't have the real SparkSession/Dataset api available,
+  // so use mock for generating simple query plans.
+  protected val dsl = new MockRemoteSession()
+
+  protected val userContext = proto.UserContext
+    .newBuilder()
+    .setUserId(defaultUserId)
+    .build()
+
+  protected def buildExecutePlanRequest(
+      plan: proto.Plan,
+      sessionId: String = defaultSessionId,
+      operationId: String = UUID.randomUUID.toString) = {
+    proto.ExecutePlanRequest
+      .newBuilder()
+      .setUserContext(userContext)
+      .setSessionId(sessionId)
+      .setOperationId(operationId)
+      .setPlan(plan)
+      .addRequestOptions(
+        proto.ExecutePlanRequest.RequestOption
+          .newBuilder()
+          .setReattachOptions(proto.ReattachOptions.newBuilder().setReattachable(true).build())
+          .build())
+      .build()
+  }
+
+  protected def buildReattachExecuteRequest(operationId: String, responseId: Option[String]) = {
+    val req = proto.ReattachExecuteRequest
+      .newBuilder()
+      .setUserContext(userContext)
+      .setSessionId(defaultSessionId)
+      .setOperationId(operationId)
+
+    if (responseId.isDefined) {
+      req.setLastResponseId(responseId.get)
+    }
+
+    req.build()
+  }
+
+  protected def buildPlan(query: String) = {
+    proto.Plan.newBuilder().setRoot(dsl.sql(query)).build()
+  }
+
+  protected def getReattachableIterator(
+      stubIterator: CloseableIterator[proto.ExecutePlanResponse]) = {
+    // This depends on the wrapping in CustomSparkConnectBlockingStub.executePlanReattachable:
+    // GrpcExceptionConverter.convertIterator
+    stubIterator
+      .asInstanceOf[WrappedCloseableIterator[proto.ExecutePlanResponse]]
+      // ExecutePlanResponseReattachableIterator
+      .innerIterator
+      .asInstanceOf[ExecutePlanResponseReattachableIterator]
+  }
+
+  protected def assertNoActiveRpcs(): Unit = {
+    SparkConnectService.executionManager.listActiveExecutions match {
+      case Left(_) => // nothing running, good
+      case Right(executions) =>
+        // all rpc detached.
+        assert(
+          executions.forall(_.lastAttachedRpcTime.isDefined),
+          s"Expected no RPCs, but got $executions")
+    }
+  }
+
+  protected def assertEventuallyNoActiveRpcs(): Unit = {
+    Eventually.eventually(timeout(eventuallyTimeout)) {
+      assertNoActiveRpcs()
+    }
+  }
+
+  protected def assertNoActiveExecutions(): Unit = {
+    SparkConnectService.executionManager.listActiveExecutions match {
+      case Left(_) => // cleaned up
+      case Right(executions) => fail(s"Expected empty, but got $executions")
+    }
+  }
+
+  protected def assertEventuallyNoActiveExecutions(): Unit = {
+    Eventually.eventually(timeout(eventuallyTimeout)) {
+      assertNoActiveExecutions()
+    }
+  }
+
+  protected def assertExecutionReleased(operationId: String): Unit = {
+    SparkConnectService.executionManager.listActiveExecutions match {
+      case Left(_) => // cleaned up
+      case Right(executions) => assert(!executions.exists(_.operationId == operationId))
+    }
+  }
+
+  protected def assertEventuallyExecutionReleased(operationId: String): Unit = {
+    Eventually.eventually(timeout(eventuallyTimeout)) {
+      assertExecutionReleased(operationId)
+    }
+  }
+
+  // Get ExecutionHolder, assuming that only one execution is active
+  protected def getExecutionHolder: ExecuteHolder = {
+    val executions = SparkConnectService.executionManager.listExecuteHolders
+    assert(executions.length == 1)
+    executions.head
+  }
+
+  protected def withClient(f: SparkConnectClient => Unit): Unit = {
+    val client = SparkConnectClient
+      .builder()
+      .port(serverPort)
+      .sessionId(defaultSessionId)
+      .userId(defaultUserId)
+      .enableReattachableExecute()
+      .build()
+    try f(client)
+    finally {
+      client.shutdown()
+    }
+  }
+
+  protected def withRawBlockingStub(
+      f: proto.SparkConnectServiceGrpc.SparkConnectServiceBlockingStub => Unit): Unit = {
+    val conf = SparkConnectClient.Configuration(port = serverPort)
+    val channel = conf.createChannel()
+    val bstub = proto.SparkConnectServiceGrpc.newBlockingStub(channel)
+    try f(bstub)
+    finally {
+      channel.shutdownNow()
+    }
+  }
+
+  protected def withCustomBlockingStub(
+      retryPolicy: GrpcRetryHandler.RetryPolicy = GrpcRetryHandler.RetryPolicy())(
+      f: CustomSparkConnectBlockingStub => Unit): Unit = {
+    val conf = SparkConnectClient.Configuration(port = serverPort)
+    val channel = conf.createChannel()
+    val bstub = new CustomSparkConnectBlockingStub(channel, retryPolicy)
+    try f(bstub)
+    finally {
+      channel.shutdownNow()
+    }
+  }
+
+  protected def runQuery(plan: proto.Plan, queryTimeout: Span, iterSleep: Long): Unit = {
+    withClient { client =>
+      TimeLimits.failAfter(queryTimeout) {
+        val iter = client.execute(plan)
+        var operationId: Option[String] = None
+        var r: proto.ExecutePlanResponse = null
+        val reattachableIter = getReattachableIterator(iter)
+        while (iter.hasNext) {
+          r = iter.next()
+          operationId match {
+            case None => operationId = Some(r.getOperationId)
+            case Some(id) => assert(r.getOperationId == id)
+          }
+          if (iterSleep > 0) {
+            Thread.sleep(iterSleep)
+          }
+        }
+        // Check that last response had ResultComplete indicator
+        assert(r != null)
+        assert(r.hasResultComplete)
+        // ... that client sent ReleaseExecute based on it
+        assert(reattachableIter.resultComplete)
+        // ... and that the server released the execution.
+        assert(operationId.isDefined)
+        assertEventuallyExecutionReleased(operationId.get)
+      }
+    }
+  }
+
+  protected def runQuery(query: String, queryTimeout: Span, iterSleep: Long = 0): Unit = {
+    val plan = buildPlan(query)
+    runQuery(plan, queryTimeout, iterSleep)
+  }
+}
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
new file mode 100644
index 0000000000000..169b15582b698
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -0,0 +1,352 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.execution
+
+import java.util.UUID
+
+import io.grpc.StatusRuntimeException
+import org.scalatest.concurrent.Eventually
+import org.scalatest.time.SpanSugar._
+
+import org.apache.spark.SparkException
+import org.apache.spark.sql.connect.SparkConnectServerTest
+import org.apache.spark.sql.connect.config.Connect
+import org.apache.spark.sql.connect.service.SparkConnectService
+
+class ReattachableExecuteSuite extends SparkConnectServerTest {
+
+  // Tests assume that this query will result in at least a couple ExecutePlanResponses on the
+  // stream. If this is no longer the case because of changes in how much is returned in a single
+  // ExecutePlanResponse, it may need to be adjusted.
+  val MEDIUM_RESULTS_QUERY = "select * from range(1000000)"
+
+  test("reattach after initial RPC ends") {
+    withClient { client =>
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val reattachableIter = getReattachableIterator(iter)
+      val initialInnerIter = reattachableIter.innerIterator
+
+      // open the iterator
+      iter.next()
+      // expire all RPCs on server
+      SparkConnectService.executionManager.setAllRPCsDeadline(System.currentTimeMillis() - 1)
+      assertEventuallyNoActiveRpcs()
+      // iterator should reattach
+      // (but not necessarily at first next, as there might have been messages buffered client side)
+      while (iter.hasNext && (reattachableIter.innerIterator eq initialInnerIter)) {
+        iter.next()
+      }
+      assert(
+        reattachableIter.innerIterator ne initialInnerIter
+      ) // reattach changed the inner iter
+    }
+  }
+
+  test("raw interrupted RPC results in INVALID_CURSOR.DISCONNECTED error") {
+    withRawBlockingStub { stub =>
+      val iter = stub.executePlan(buildExecutePlanRequest(buildPlan(MEDIUM_RESULTS_QUERY)))
+      iter.next() // open the iterator
+      // interrupt all RPCs on server
+      SparkConnectService.executionManager.interruptAllRPCs()
+      assertEventuallyNoActiveRpcs()
+      val e = intercept[StatusRuntimeException] {
+        while (iter.hasNext) iter.next()
+      }
+      assert(e.getMessage.contains("INVALID_CURSOR.DISCONNECTED"))
+    }
+  }
+
+  test("raw new RPC interrupts previous RPC with INVALID_CURSOR.DISCONNECTED error") {
+    // Raw stub does not have retries, auto reattach etc.
+    withRawBlockingStub { stub =>
+      val operationId = UUID.randomUUID().toString
+      val iter = stub.executePlan(
+        buildExecutePlanRequest(buildPlan(MEDIUM_RESULTS_QUERY), operationId = operationId))
+      iter.next() // open the iterator
+
+      // send reattach
+      val iter2 = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
+      iter2.next() // open the iterator
+
+      // should result in INVALID_CURSOR.DISCONNECTED error on the original iterator
+      val e = intercept[StatusRuntimeException] {
+        while (iter.hasNext) iter.next()
+      }
+      assert(e.getMessage.contains("INVALID_CURSOR.DISCONNECTED"))
+
+      // send another reattach
+      val iter3 = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
+      assert(iter3.hasNext)
+      iter3.next() // open the iterator
+
+      // should result in INVALID_CURSOR.DISCONNECTED error on the previous reattach iterator
+      val e2 = intercept[StatusRuntimeException] {
+        while (iter2.hasNext) iter2.next()
+      }
+      assert(e2.getMessage.contains("INVALID_CURSOR.DISCONNECTED"))
+    }
+  }
+
+  test("client INVALID_CURSOR.DISCONNECTED error is retried when rpc sender gets interrupted") {
+    withClient { client =>
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val reattachableIter = getReattachableIterator(iter)
+      val initialInnerIter = reattachableIter.innerIterator
+      val operationId = getReattachableIterator(iter).operationId
+
+      // open the iterator
+      iter.next()
+
+      // interrupt all RPCs on server
+      SparkConnectService.executionManager.interruptAllRPCs()
+      assertEventuallyNoActiveRpcs()
+
+      // Nevertheless, the original iterator will handle the INVALID_CURSOR.DISCONNECTED error
+      iter.next()
+      // iterator changed because it had to reconnect
+      assert(reattachableIter.innerIterator ne initialInnerIter)
+    }
+  }
+
+  test("client INVALID_CURSOR.DISCONNECTED error is retried when other RPC preempts this one") {
+    withClient { client =>
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val reattachableIter = getReattachableIterator(iter)
+      val initialInnerIter = reattachableIter.innerIterator
+      val operationId = getReattachableIterator(iter).operationId
+
+      // open the iterator
+      val response = iter.next()
+
+      // Send another Reattach request, it should preempt this request with an
+      // INVALID_CURSOR.DISCONNECTED error.
+      withRawBlockingStub { stub =>
+        val reattachIter = stub.reattachExecute(
+          buildReattachExecuteRequest(operationId, Some(response.getResponseId)))
+        assert(reattachIter.hasNext)
+        reattachIter.next()
+
+        // Nevertheless, the original iterator will handle the INVALID_CURSOR.DISCONNECTED error
+        iter.next()
+        // iterator changed because it had to reconnect
+        assert(reattachableIter.innerIterator ne initialInnerIter)
+      }
+    }
+  }
+
+  test("abandoned query gets INVALID_HANDLE.OPERATION_ABANDONED error") {
+    withClient { client =>
+      val plan = buildPlan("select * from range(100000)")
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val operationId = getReattachableIterator(iter).operationId
+      // open the iterator
+      iter.next()
+      // disconnect and remove on server
+      SparkConnectService.executionManager.setAllRPCsDeadline(System.currentTimeMillis() - 1)
+      assertEventuallyNoActiveRpcs()
+      SparkConnectService.executionManager.periodicMaintenance(0)
+      assertNoActiveExecutions()
+      // check that it throws abandoned error
+      val e = intercept[SparkException] {
+        while (iter.hasNext) iter.next()
+      }
+      assert(e.getMessage.contains("INVALID_HANDLE.OPERATION_ABANDONED"))
+      // check that afterwards, new operation can't be created with the same operationId.
+      withCustomBlockingStub() { stub =>
+        val executePlanReq = buildExecutePlanRequest(plan, operationId = operationId)
+
+        val iterNonReattachable = stub.executePlan(executePlanReq)
+        val eNonReattachable = intercept[SparkException] {
+          iterNonReattachable.hasNext
+        }
+        assert(eNonReattachable.getMessage.contains("INVALID_HANDLE.OPERATION_ABANDONED"))
+
+        val iterReattachable = stub.executePlanReattachable(executePlanReq)
+        val eReattachable = intercept[SparkException] {
+          iterReattachable.hasNext
+        }
+        assert(eReattachable.getMessage.contains("INVALID_HANDLE.OPERATION_ABANDONED"))
+      }
+    }
+  }
+
+  test("client releases responses directly after consuming them") {
+    withClient { client =>
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val reattachableIter = getReattachableIterator(iter)
+      val initialInnerIter = reattachableIter.innerIterator
+      val operationId = getReattachableIterator(iter).operationId
+
+      assert(iter.hasNext) // open iterator
+      val execution = getExecutionHolder
+      assert(execution.responseObserver.releasedUntilIndex == 0)
+
+      // get two responses, check on the server that ReleaseExecute releases them afterwards
+      val response1 = iter.next()
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(execution.responseObserver.releasedUntilIndex == 1)
+      }
+
+      val response2 = iter.next()
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(execution.responseObserver.releasedUntilIndex == 2)
+      }
+
+      withRawBlockingStub { stub =>
+        // Reattach after response1 should fail with INVALID_CURSOR.POSITION_NOT_AVAILABLE
+        val reattach1 = stub.reattachExecute(
+          buildReattachExecuteRequest(operationId, Some(response1.getResponseId)))
+        val e = intercept[StatusRuntimeException] {
+          reattach1.hasNext()
+        }
+        assert(e.getMessage.contains("INVALID_CURSOR.POSITION_NOT_AVAILABLE"))
+
+        // Reattach after response2 should work
+        val reattach2 = stub.reattachExecute(
+          buildReattachExecuteRequest(operationId, Some(response2.getResponseId)))
+        val response3 = reattach2.next()
+        val response4 = reattach2.next()
+        val response5 = reattach2.next()
+
+        // The original client iterator will handle the INVALID_CURSOR.DISCONNECTED error,
+        // and reconnect back. Since the raw iterator was not releasing responses, client iterator
+        // should be able to continue where it left off (server shouldn't have released yet)
+        assert(execution.responseObserver.releasedUntilIndex == 2)
+        assert(iter.hasNext)
+
+        val r3 = iter.next()
+        assert(r3.getResponseId == response3.getResponseId)
+        val r4 = iter.next()
+        assert(r4.getResponseId == response4.getResponseId)
+        val r5 = iter.next()
+        assert(r5.getResponseId == response5.getResponseId)
+        // inner iterator changed because it had to reconnect
+        assert(reattachableIter.innerIterator ne initialInnerIter)
+      }
+    }
+  }
+
+  test("server releases responses automatically when client moves ahead") {
+    withRawBlockingStub { stub =>
+      val operationId = UUID.randomUUID().toString
+      val iter = stub.executePlan(
+        buildExecutePlanRequest(buildPlan(MEDIUM_RESULTS_QUERY), operationId = operationId))
+      var lastSeenResponse: String = null
+
+      iter.hasNext // open iterator
+      val execution = getExecutionHolder
+
+      // after consuming enough from the iterator, server should automatically start releasing
+      var lastSeenIndex = 0
+      while (iter.hasNext && execution.responseObserver.releasedUntilIndex == 0) {
+        val r = iter.next()
+        lastSeenResponse = r.getResponseId()
+        lastSeenIndex += 1
+      }
+      assert(iter.hasNext)
+      assert(execution.responseObserver.releasedUntilIndex > 0)
+
+      // Reattach from the beginning is not available.
+      val reattach = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
+      val e = intercept[StatusRuntimeException] {
+        reattach.hasNext()
+      }
+      assert(e.getMessage.contains("INVALID_CURSOR.POSITION_NOT_AVAILABLE"))
+
+      // Original iterator got disconnected by the reattach and gets INVALID_CURSOR.DISCONNECTED
+      val e2 = intercept[StatusRuntimeException] {
+        while (iter.hasNext) iter.next()
+      }
+      assert(e2.getMessage.contains("INVALID_CURSOR.DISCONNECTED"))
+
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        // Even though we didn't consume more from the iterator, the server thinks that
+        // it sent more, because GRPC stream onNext() can push into internal GRPC buffer without
+        // client picking it up.
+        assert(execution.responseObserver.highestConsumedIndex > lastSeenIndex)
+      }
+      // but CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE is big enough that the last
+      // response we've seen is still in range
+      assert(execution.responseObserver.releasedUntilIndex < lastSeenIndex)
+
+      // and a new reattach can continue after what there.
+      val reattach2 =
+        stub.reattachExecute(buildReattachExecuteRequest(operationId, Some(lastSeenResponse)))
+      assert(reattach2.hasNext)
+      while (reattach2.hasNext) reattach2.next()
+    }
+  }
+
+  // A few integration tests with large results.
+  // They should run significantly faster than the LARGE_QUERY_TIMEOUT
+  // - big query (4 seconds, 871 milliseconds)
+  // - big query and slow client (7 seconds, 288 milliseconds)
+  // - big query with frequent reattach (1 second, 527 milliseconds)
+  // - big query with frequent reattach and slow client (7 seconds, 365 milliseconds)
+  // - long sleeping query (10 seconds, 805 milliseconds)
+
+  // intentionally smaller than CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION,
+  // so that reattach deadline doesn't "unstuck" if something got stuck.
+  val LARGE_QUERY_TIMEOUT = 100.seconds
+
+  val LARGE_RESULTS_QUERY = s"select id, " +
+    (1 to 20).map(i => s"cast(id as string) c$i").mkString(", ") +
+    s" from range(1000000)"
+
+  test("big query") {
+    // regular query with large results
+    runQuery(LARGE_RESULTS_QUERY, LARGE_QUERY_TIMEOUT)
+    // Check that execution is released on the server.
+    assertEventuallyNoActiveExecutions()
+  }
+
+  test("big query and slow client") {
+    // regular query with large results, but client is slow so sender will need to control flow
+    runQuery(LARGE_RESULTS_QUERY, LARGE_QUERY_TIMEOUT, iterSleep = 50)
+    // Check that execution is released on the server.
+    assertEventuallyNoActiveExecutions()
+  }
+
+  test("big query with frequent reattach") {
+    // will reattach every 100kB
+    withSparkEnvConfs((Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE.key, "100k")) {
+      runQuery(LARGE_RESULTS_QUERY, LARGE_QUERY_TIMEOUT)
+      // Check that execution is released on the server.
+      assertEventuallyNoActiveExecutions()
+    }
+  }
+
+  test("big query with frequent reattach and slow client") {
+    // will reattach every 100kB, and in addition the client is slow,
+    // so sender will need to control flow
+    withSparkEnvConfs((Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_SIZE.key, "100k")) {
+      runQuery(LARGE_RESULTS_QUERY, LARGE_QUERY_TIMEOUT, iterSleep = 50)
+      // Check that execution is released on the server.
+      assertEventuallyNoActiveExecutions()
+    }
+  }
+
+  test("long sleeping query") {
+    // query will be sleeping and not returning results, while having multiple reattach
+    withSparkEnvConfs(
+      (Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION.key, "1s")) {
+      runQuery("select sleep(10000) as s", 30.seconds)
+      // Check that execution is released on the server.
+      assertEventuallyNoActiveExecutions()
+    }
+  }
+}
diff --git a/core/src/test/scala/org/apache/spark/SparkFunSuite.scala b/core/src/test/scala/org/apache/spark/SparkFunSuite.scala
index f5819b9508777..1163088c82aa8 100644
--- a/core/src/test/scala/org/apache/spark/SparkFunSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkFunSuite.scala
@@ -302,6 +302,30 @@ abstract class SparkFunSuite
     }
   }
 
+  /**
+   * Sets all configurations specified in `pairs` in SparkEnv SparkConf, calls `f`, and then
+   * restores all configurations.
+   */
+  protected def withSparkEnvConfs(pairs: (String, String)*)(f: => Unit): Unit = {
+    val conf = SparkEnv.get.conf
+    val (keys, values) = pairs.unzip
+    val currentValues = keys.map { key =>
+      if (conf.getOption(key).isDefined) {
+        Some(conf.get(key))
+      } else {
+        None
+      }
+    }
+    pairs.foreach { kv => conf.set(kv._1, kv._2) }
+    try f
+    finally {
+      keys.zip(currentValues).foreach {
+        case (key, Some(value)) => conf.set(key, value)
+        case (key, None) => conf.remove(key)
+      }
+    }
+  }
+
   /**
    * Checks an exception with an error class against expected results.
    * @param exception     The exception to check

From 151f88b53e67944d6ca5c635466f50958019c8b4 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 13 Sep 2023 21:20:19 +0900
Subject: [PATCH 382/986] [SPARK-45142][INFRA] Specify the range for Spark
 Connect dependencies in pyspark base image

This PR proposes to pin the dependencies related to Spark Connect in its base image according to the range we support.
See also https://github.com/apache/spark/blob/master/python/docs/source/getting_started/install.rst#dependencies

To properly test the dependency versions we support.

No, dev-only.

In this PR, it will be tested.

No.

Closes #42898 from HyukjinKwon/SPARK-45142.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 61435b42fdc4071f35aba6af9248ff9ad8fc8514)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/infra/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index af8e1a980f93c..d3bae836cc631 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -68,7 +68,7 @@ RUN pypy3 -m pip install numpy 'pandas<=2.0.3' scipy coverage matplotlib
 RUN python3.9 -m pip install numpy pyarrow 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
 
 # Add Python deps for Spark Connect.
-RUN python3.9 -m pip install grpcio protobuf googleapis-common-protos grpcio-status
+RUN python3.9 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 'protobuf==3.20.3' 'googleapis-common-protos==1.56.4'
 
 # Add torch as a testing dependency for TorchDistributor
 RUN python3.9 -m pip install torch torchvision torcheval

From e72ae794e69d8182291655d023aee903a913571b Mon Sep 17 00:00:00 2001
From: chenyu-opensource <119398199+chenyu-opensource@users.noreply.github.com>
Date: Wed, 13 Sep 2023 08:48:14 -0500
Subject: [PATCH 383/986] [SPARK-45146][DOCS] Update the default value of
 'spark.submit.deployMode'

**What changes were proposed in this pull request?**
The PR updates the default value of 'spark.submit.deployMode' in configuration.html on the website

**Why are the changes needed?**
The default value of 'spark.submit.deployMode' is 'client', but the website is wrong.

**Does this PR introduce any user-facing change?**
No

**How was this patch tested?**
It doesn't need to.

**Was this patch authored or co-authored using generative AI tooling?**
No

Closes #42902 from chenyu-opensource/branch-SPARK-45146.

Authored-by: chenyu-opensource <119398199+chenyu-opensource@users.noreply.github.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 076cb7aabac2f0ff11ca77ca530b7b8db5310a5e)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 docs/configuration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index dfded480c99d3..1139beb66462f 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -394,7 +394,7 @@ of the most common options to set are:
 </tr>
 <tr>
   <td><code>spark.submit.deployMode</code></td>
-  <td>(none)</td>
+  <td>client</td>
   <td>
     The deploy mode of Spark driver program, either "client" or "cluster",
     Which means to launch driver program locally ("client")

From 0e1a9b65d48389e2bbed11dabfa6c61cca5f41f0 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 14 Sep 2023 18:23:38 +0800
Subject: [PATCH 384/986] [MINOR][PYTHON][DOCS] Fix default value of parameter
 `barrier` in MapInXXX

### What changes were proposed in this pull request?
Fix default value of parameter `barrier`

### Why are the changes needed?
they default to `False`

### Does this PR introduce _any_ user-facing change?
yes

### How was this patch tested?
CI

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #42923 from zhengruifeng/45114_followup.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit e1d2372b8916741fe199ee7b154e53af1eb1ba5a)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/pandas/map_ops.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/python/pyspark/sql/pandas/map_ops.py b/python/pyspark/sql/pandas/map_ops.py
index bc26fdede2888..710fc8a9a370a 100644
--- a/python/pyspark/sql/pandas/map_ops.py
+++ b/python/pyspark/sql/pandas/map_ops.py
@@ -60,11 +60,10 @@ def mapInPandas(
         schema : :class:`pyspark.sql.types.DataType` or str
             the return type of the `func` in PySpark. The value can be either a
             :class:`pyspark.sql.types.DataType` object or a DDL-formatted type string.
-        barrier : bool, optional, default True
+        barrier : bool, optional, default False
             Use barrier mode execution.
 
-            .. versionchanged: 3.5.0
-                Added ``barrier`` argument.
+            .. versionadded: 3.5.0
 
         Examples
         --------
@@ -139,11 +138,10 @@ def mapInArrow(
         schema : :class:`pyspark.sql.types.DataType` or str
             the return type of the `func` in PySpark. The value can be either a
             :class:`pyspark.sql.types.DataType` object or a DDL-formatted type string.
-        barrier : bool, optional, default True
+        barrier : bool, optional, default False
             Use barrier mode execution.
 
-            .. versionchanged: 3.5.0
-                Added ``barrier`` argument.
+            .. versionadded: 3.5.0
 
         Examples
         --------

From 9c0b803ba124a6e70762aec1e5559b0d66529f4d Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 15 Sep 2023 13:22:40 +0900
Subject: [PATCH 385/986] [SPARK-45171][SQL] Initialize non-deterministic
 expressions in `GenerateExec`

### What changes were proposed in this pull request?

Before evaluating the generator function in `GenerateExec`, initialize non-deterministic expressions.

### Why are the changes needed?

The following query fails:
```
select *
from explode(
  transform(sequence(0, cast(rand()*1000 as int) + 1), x -> x * 22)
);

23/09/14 09:27:25 ERROR Executor: Exception in task 0.0 in stage 3.0 (TID 3)
java.lang.IllegalArgumentException: requirement failed: Nondeterministic expression org.apache.spark.sql.catalyst.expressions.Rand should be initialized before eval.
	at scala.Predef$.require(Predef.scala:281)
	at org.apache.spark.sql.catalyst.expressions.Nondeterministic.eval(Expression.scala:497)
	at org.apache.spark.sql.catalyst.expressions.Nondeterministic.eval$(Expression.scala:495)
	at org.apache.spark.sql.catalyst.expressions.RDG.eval(randomExpressions.scala:35)
	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.eval(arithmetic.scala:384)
	at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:543)
	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.eval(arithmetic.scala:384)
	at org.apache.spark.sql.catalyst.expressions.Sequence.eval(collectionOperations.scala:3062)
	at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:275)
	at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:274)
	at org.apache.spark.sql.catalyst.expressions.ArrayTransform.eval(higherOrderFunctions.scala:308)
	at org.apache.spark.sql.catalyst.expressions.ExplodeBase.eval(generators.scala:375)
	at org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$8(GenerateExec.scala:108)
...
```
However, this query succeeds:
```
select *
from explode(
  sequence(0, cast(rand()*1000 as int) + 1)
);

0
1
2
3
...
801
802
803
```
The difference is that `transform` turns off whole-stage codegen, which exposes a bug in `GenerateExec` in which the non-deterministic expression passed to the generator function is not initialized before being used.

This PR fixes the bug in `GenerateExec`.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New unit test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42933 from bersprockets/nondeterm_issue.

Lead-authored-by: Bruce Robbins <bersprockets@gmail.com>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit e097f916a2769dfe82bfd216fedcd6962e8280c8)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/execution/GenerateExec.scala      | 4 ++++
 .../org/apache/spark/sql/GeneratorFunctionSuite.scala      | 7 +++++++
 2 files changed, 11 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala
index f6dbf5fda1816..b99361437e0d6 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala
@@ -78,6 +78,10 @@ case class GenerateExec(
     // boundGenerator.terminate() should be triggered after all of the rows in the partition
     val numOutputRows = longMetric("numOutputRows")
     child.execute().mapPartitionsWithIndexInternal { (index, iter) =>
+      boundGenerator.foreach {
+        case n: Nondeterministic => n.initialize(index)
+        case _ =>
+      }
       val generatorNullRow = new GenericInternalRow(generator.elementSchema.length)
       val rows = if (requiredChildOutput.nonEmpty) {
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
index abec582d43a30..0746a4b92af29 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
@@ -536,6 +536,13 @@ class GeneratorFunctionSuite extends QueryTest with SharedSparkSession {
     checkAnswer(df,
       Row(1, 1) :: Row(1, 2) :: Row(2, 2) :: Row(2, 3) :: Row(3, null) :: Nil)
   }
+
+  test("SPARK-45171: Handle evaluated nondeterministic expression") {
+    withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+      val df = sql("select explode(array(rand(0)))")
+      checkAnswer(df, Row(0.7604953758285915d))
+    }
+  }
 }
 
 case class EmptyGenerator() extends Generator with LeafLike[Expression] {

From a3f50e742506e07473c281255d1b13ab8ae78cd6 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Sat, 16 Sep 2023 09:04:38 -0500
Subject: [PATCH 386/986] [SPARK-45127][DOCS] Exclude README.md from document
 build

### What changes were proposed in this pull request?
The pr aims to exclude `README.md` from document build.

### Why are the changes needed?
- Currently, our document `README.html` does not have any CSS style applied to it, as shown below:
   https://spark.apache.org/docs/latest/README.html
   <img width="1432" alt="image" src="https://github.com/apache/spark/assets/15246973/1dfe5f69-30d9-4ce4-8d82-1bba5e721ccd">

   **If we do not intend to display the above page to users, we should remove it during the document build process.**

- As we saw in the project `spark-website`, it has already set the following configuration:
   https://github.com/apache/spark-website/blob/642d1fb834817014e1799e73882d53650c1c1662/_config.yml#L7
    <img width="720" alt="image" src="https://github.com/apache/spark/assets/15246973/421b7be5-4ece-407e-9d49-8e7487b74a47">
   Let's stay consistent.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Manually test.
   After this pr, the README.html file will no longer be generated
   ```
    (base) panbingkun:~/Developer/spark/spark-community/docs/_site$ls -al README.html
    ls: README.html: No such file or directory
    ```
- Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #42883 from panbingkun/SPARK-45127.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 804f741453fb146b5261084fa3baf26631badb79)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 docs/_config.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/_config.yml b/docs/_config.yml
index afe015b2972da..e346833722b93 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -46,3 +46,5 @@ DOCSEARCH_SCRIPT: |
   });
 
 permalink: 404.html
+
+exclude: ['README.md']

From 723a85eb2dffa69571cba841380eb759a9b89321 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Sun, 17 Sep 2023 11:16:24 +0300
Subject: [PATCH 387/986] [SPARK-45078][SQL] Fix `array_insert`
 ImplicitCastInputTypes not work

### What changes were proposed in this pull request?
This PR fix call `array_insert` with different type between array and insert column, will throw exception. Sometimes it should be execute successed.
eg:
```sql
select array_insert(array(1), 2, cast(2 as tinyint))
```
The `ImplicitCastInputTypes` in `ArrayInsert` always return empty array at now. So that Spark can not convert `tinyint` to `int`.

### Why are the changes needed?
Fix error behavior in `array_insert`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Add new test.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42951 from Hisoka-X/SPARK-45078_arrayinsert_type_mismatch.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit e84c66db60c78476806161479344cd32a7606ab1)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../sql/catalyst/expressions/collectionOperations.scala   | 1 -
 .../sql-tests/analyzer-results/ansi/array.sql.out         | 7 +++++++
 .../resources/sql-tests/analyzer-results/array.sql.out    | 7 +++++++
 sql/core/src/test/resources/sql-tests/inputs/array.sql    | 1 +
 .../test/resources/sql-tests/results/ansi/array.sql.out   | 8 ++++++++
 .../src/test/resources/sql-tests/results/array.sql.out    | 8 ++++++++
 6 files changed, 31 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index fe9c4015c15ec..ade4a6c5be722 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -4711,7 +4711,6 @@ case class ArrayInsert(
         }
       case (e1, e2, e3) => Seq.empty
     }
-    Seq.empty
   }
 
   override def checkInputDataTypes(): TypeCheckResult = {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index cd101c7a524a1..6fc308157933f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -531,6 +531,13 @@ Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, false) AS array_
 +- OneRowRelation
 
 
+-- !query
+select array_insert(array(1), 2, cast(2 as tinyint))
+-- !query analysis
+Project [array_insert(array(1), 2, cast(cast(2 as tinyint) as int), false) AS array_insert(array(1), 2, CAST(2 AS TINYINT))#x]
++- OneRowRelation
+
+
 -- !query
 set spark.sql.legacy.negativeIndexInArrayInsert=true
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index 8279fb3362e54..e0585b77cb6bd 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -531,6 +531,13 @@ Project [array_insert(array(2, 3, cast(null as int), 4), -5, 1, false) AS array_
 +- OneRowRelation
 
 
+-- !query
+select array_insert(array(1), 2, cast(2 as tinyint))
+-- !query analysis
+Project [array_insert(array(1), 2, cast(cast(2 as tinyint) as int), false) AS array_insert(array(1), 2, CAST(2 AS TINYINT))#x]
++- OneRowRelation
+
+
 -- !query
 set spark.sql.legacy.negativeIndexInArrayInsert=true
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/array.sql b/sql/core/src/test/resources/sql-tests/inputs/array.sql
index 48edc6b474254..52a0906ea7392 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/array.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/array.sql
@@ -141,6 +141,7 @@ select array_insert(array(1, 2, 3, NULL), cast(NULL as INT), 4);
 select array_insert(array(1, 2, 3, NULL), 4, cast(NULL as INT));
 select array_insert(array(2, 3, NULL, 4), 5, 5);
 select array_insert(array(2, 3, NULL, 4), -5, 1);
+select array_insert(array(1), 2, cast(2 as tinyint));
 
 set spark.sql.legacy.negativeIndexInArrayInsert=true;
 select array_insert(array(1, 3, 4), -2, 2);
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 03be0f9d84b1b..49e18411ffa37 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -659,6 +659,14 @@ struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
 [1,2,3,null,4]
 
 
+-- !query
+select array_insert(array(1), 2, cast(2 as tinyint))
+-- !query schema
+struct<array_insert(array(1), 2, CAST(2 AS TINYINT)):array<int>>
+-- !query output
+[1,2]
+
+
 -- !query
 set spark.sql.legacy.negativeIndexInArrayInsert=true
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index 9dbf4fbebc20b..e568f5fa7796d 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -540,6 +540,14 @@ struct<array_insert(array(2, 3, NULL, 4), -5, 1):array<int>>
 [1,2,3,null,4]
 
 
+-- !query
+select array_insert(array(1), 2, cast(2 as tinyint))
+-- !query schema
+struct<array_insert(array(1), 2, CAST(2 AS TINYINT)):array<int>>
+-- !query output
+[1,2]
+
+
 -- !query
 set spark.sql.legacy.negativeIndexInArrayInsert=true
 -- !query schema

From 84a053e72ac9d9cfc91bab777cea94958d3a91da Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 17 Sep 2023 10:34:23 -0700
Subject: [PATCH 388/986] [SPARK-45187][CORE] Fix `WorkerPage` to use the same
 pattern for `logPage` urls

### What changes were proposed in this pull request?

This PR aims to use the same pattern for `logPage` urls of `WorkerPage` to make it work consistently when `spark.ui.reverseProxy=true`.

### Why are the changes needed?

Since Apache Spark 3.2.0 (SPARK-34635, #31753), Apache Spark adds trailing slashes to reduce redirections for `logPage`.

```scala
      s"$workerUrlRef/logPage?driverId=$driverId&logType=stdout")
      s"$workerUrlRef/logPage/?driverId=$driverId&logType=stdout")
...
<a href={s"$workerUrlRef/logPage?appId=${executor
<a href={s"$workerUrlRef/logPage/?appId=${executor
```

This PR aims to fix a leftover in `WorkerPage` to make it work consistently in case of the reverse proxy situation via `spark.ui.reverseProxy`. Currently,  in some proxy environments, `appId` link is working but `driverId` link is broken due to the redirections. This inconsistent behavior makes the users confused.

```
-        <a href={s"$workerUrlRef/logPage?driverId=${driver.driverId}&logType=stdout"}>stdout</a>
-        <a href={s"$workerUrlRef/logPage?driverId=${driver.driverId}&logType=stderr"}>stderr</a>
+        <a href={s"$workerUrlRef/logPage/?driverId=${driver.driverId}&logType=stdout"}>stdout</a>
+        <a href={s"$workerUrlRef/logPage/?driverId=${driver.driverId}&logType=stderr"}>stderr</a>
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual tests because it requires a reverse proxy.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42959 from dongjoon-hyun/SPARK-45187.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit f8f2735426ee7ad3d7a1f5bd07e72643516f4a35)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/deploy/worker/ui/WorkerPage.scala  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerPage.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerPage.scala
index 3171d3f16e8a0..e740b328dd7b9 100644
--- a/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerPage.scala
@@ -212,8 +212,8 @@ private[ui] class WorkerPage(parent: WorkerWebUI) extends WebUIPage("") {
       </td>
       <td>{formatResourcesAddresses(driver.resources)}</td>
       <td>
-        <a href={s"$workerUrlRef/logPage?driverId=${driver.driverId}&logType=stdout"}>stdout</a>
-        <a href={s"$workerUrlRef/logPage?driverId=${driver.driverId}&logType=stderr"}>stderr</a>
+        <a href={s"$workerUrlRef/logPage/?driverId=${driver.driverId}&logType=stdout"}>stdout</a>
+        <a href={s"$workerUrlRef/logPage/?driverId=${driver.driverId}&logType=stderr"}>stderr</a>
       </td>
       <td>
         {driver.finalException.getOrElse("")}

From 60073f318313ab2329ea1504ef7538641433852e Mon Sep 17 00:00:00 2001
From: Martin Grund <martin.grund@databricks.com>
Date: Tue, 19 Sep 2023 08:32:21 +0900
Subject: [PATCH 389/986] [SPARK-45167][CONNECT][PYTHON][3.5] Python client
 must call `release_all`

### What changes were proposed in this pull request?

Cherry-pick of https://github.com/apache/spark/pull/42929

Previously the Python client would not call `release_all` after fetching all results and leaving the query dangling. The query would then be removed after the five minute timeout.

This patch adds proper testing for calling release all and release until.

In addition it fixes a test race condition where we would close the SparkSession which would in turn close the GRPC channel which might have dangling async release calls hanging.

### Why are the changes needed?
Stability

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
new UT

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42973 from grundprinzip/SPARK-45167-3.5.

Authored-by: Martin Grund <martin.grund@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/core.py     |   1 +
 python/pyspark/sql/connect/client/reattach.py |  37 +++-
 .../sql/tests/connect/client/test_client.py   | 195 +++++++++++++++++-
 3 files changed, 226 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/connect/client/core.py b/python/pyspark/sql/connect/client/core.py
index 7b3299d123b97..7b1aafbefebbe 100644
--- a/python/pyspark/sql/connect/client/core.py
+++ b/python/pyspark/sql/connect/client/core.py
@@ -1005,6 +1005,7 @@ def close(self) -> None:
         """
         Close the channel.
         """
+        ExecutePlanResponseReattachableIterator.shutdown()
         self._channel.close()
         self._closed = True
 
diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index 7e1e722d5fd8a..e58864b965bd9 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -21,7 +21,9 @@
 import warnings
 import uuid
 from collections.abc import Generator
-from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast
+from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast, Type, ClassVar
+from multiprocessing import RLock
+from multiprocessing.synchronize import RLock as RLockBase
 from multiprocessing.pool import ThreadPool
 import os
 
@@ -53,7 +55,30 @@ class ExecutePlanResponseReattachableIterator(Generator):
     ReleaseExecute RPCs that instruct the server to release responses that it already processed.
     """
 
-    _release_thread_pool = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
+    # Lock to manage the pool
+    _lock: ClassVar[RLockBase] = RLock()
+    _release_thread_pool: Optional[ThreadPool] = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
+
+    @classmethod
+    def shutdown(cls: Type["ExecutePlanResponseReattachableIterator"]) -> None:
+        """
+        When the channel is closed, this method will be called before, to make sure all
+        outstanding calls are closed.
+        """
+        with cls._lock:
+            if cls._release_thread_pool is not None:
+                cls._release_thread_pool.close()
+                cls._release_thread_pool.join()
+                cls._release_thread_pool = None
+
+    @classmethod
+    def _initialize_pool_if_necessary(cls: Type["ExecutePlanResponseReattachableIterator"]) -> None:
+        """
+        If the processing pool for the release calls is None, initialize the pool exactly once.
+        """
+        with cls._lock:
+            if cls._release_thread_pool is None:
+                cls._release_thread_pool = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
 
     def __init__(
         self,
@@ -62,6 +87,7 @@ def __init__(
         retry_policy: Dict[str, Any],
         metadata: Iterable[Tuple[str, str]],
     ):
+        ExecutePlanResponseReattachableIterator._initialize_pool_if_necessary()
         self._request = request
         self._retry_policy = retry_policy
         if request.operation_id:
@@ -111,7 +137,6 @@ def send(self, value: Any) -> pb2.ExecutePlanResponse:
 
         self._last_returned_response_id = ret.response_id
         if ret.HasField("result_complete"):
-            self._result_complete = True
             self._release_all()
         else:
             self._release_until(self._last_returned_response_id)
@@ -190,7 +215,8 @@ def target() -> None:
             except Exception as e:
                 warnings.warn(f"ReleaseExecute failed with exception: {e}.")
 
-        ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
+        if ExecutePlanResponseReattachableIterator._release_thread_pool is not None:
+            ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
 
     def _release_all(self) -> None:
         """
@@ -218,7 +244,8 @@ def target() -> None:
             except Exception as e:
                 warnings.warn(f"ReleaseExecute failed with exception: {e}.")
 
-        ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
+        if ExecutePlanResponseReattachableIterator._release_thread_pool is not None:
+            ExecutePlanResponseReattachableIterator._release_thread_pool.apply_async(target)
         self._result_complete = True
 
     def _call_iter(self, iter_fun: Callable) -> Any:
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index 98f68767b8bca..cf43fb16df7a7 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -17,14 +17,20 @@
 
 import unittest
 import uuid
-from typing import Optional
+from collections.abc import Generator
+from typing import Optional, Any
+
+import grpc
 
 from pyspark.sql.connect.client import SparkConnectClient, ChannelBuilder
 import pyspark.sql.connect.proto as proto
 from pyspark.testing.connectutils import should_test_connect, connect_requirement_message
 
 from pyspark.sql.connect.client.core import Retrying
-from pyspark.sql.connect.client.reattach import RetryException
+from pyspark.sql.connect.client.reattach import (
+    RetryException,
+    ExecutePlanResponseReattachableIterator,
+)
 
 if should_test_connect:
     import pandas as pd
@@ -120,6 +126,191 @@ def test_channel_builder_with_session(self):
         self.assertEqual(client._session_id, chan.session_id)
 
 
+@unittest.skipIf(not should_test_connect, connect_requirement_message)
+class SparkConnectClientReattachTestCase(unittest.TestCase):
+    def setUp(self) -> None:
+        self.request = proto.ExecutePlanRequest()
+        self.policy = {
+            "max_retries": 3,
+            "backoff_multiplier": 4.0,
+            "initial_backoff": 10,
+            "max_backoff": 10,
+            "jitter": 10,
+            "min_jitter_threshold": 10,
+        }
+        self.response = proto.ExecutePlanResponse(
+            response_id="1",
+        )
+        self.finished = proto.ExecutePlanResponse(
+            result_complete=proto.ExecutePlanResponse.ResultComplete(),
+            response_id="2",
+        )
+
+    def _stub_with(self, execute=None, attach=None):
+        return MockSparkConnectStub(
+            execute_ops=ResponseGenerator(execute) if execute is not None else None,
+            attach_ops=ResponseGenerator(attach) if attach is not None else None,
+        )
+
+    def assertEventually(self, callable, timeout_ms=1000):
+        """Helper method that will continuously evaluate the callable to not raise an
+        exception."""
+        import time
+
+        limit = time.monotonic_ns() + timeout_ms * 1000 * 1000
+        while time.monotonic_ns() < limit:
+            try:
+                callable()
+                break
+            except Exception:
+                time.sleep(0.1)
+        callable()
+
+    def test_basic_flow(self):
+        stub = self._stub_with([self.response, self.finished])
+        ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
+        for b in ite:
+            pass
+
+        def check_all():
+            self.assertEqual(0, stub.attach_calls)
+            self.assertEqual(1, stub.release_until_calls)
+            self.assertEqual(1, stub.release_calls)
+            self.assertEqual(1, stub.execute_calls)
+
+        self.assertEventually(check_all, timeout_ms=1000)
+
+    def test_fail_during_execute(self):
+        def fatal():
+            raise TestException("Fatal")
+
+        stub = self._stub_with([self.response, fatal])
+        with self.assertRaises(TestException):
+            ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
+            for b in ite:
+                pass
+
+        def check():
+            self.assertEqual(0, stub.attach_calls)
+            self.assertEqual(1, stub.release_calls)
+            self.assertEqual(1, stub.release_until_calls)
+            self.assertEqual(1, stub.execute_calls)
+
+        self.assertEventually(check, timeout_ms=1000)
+
+    def test_fail_and_retry_during_execute(self):
+        def non_fatal():
+            raise TestException("Non Fatal", grpc.StatusCode.UNAVAILABLE)
+
+        stub = self._stub_with(
+            [self.response, non_fatal], [self.response, self.response, self.finished]
+        )
+        ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
+        for b in ite:
+            pass
+
+        def check():
+            self.assertEqual(1, stub.attach_calls)
+            self.assertEqual(1, stub.release_calls)
+            self.assertEqual(3, stub.release_until_calls)
+            self.assertEqual(1, stub.execute_calls)
+
+        self.assertEventually(check, timeout_ms=1000)
+
+    def test_fail_and_retry_during_reattach(self):
+        count = 0
+
+        def non_fatal():
+            nonlocal count
+            if count < 2:
+                count += 1
+                raise TestException("Non Fatal", grpc.StatusCode.UNAVAILABLE)
+            else:
+                return proto.ExecutePlanResponse()
+
+        stub = self._stub_with(
+            [self.response, non_fatal], [self.response, non_fatal, self.response, self.finished]
+        )
+        ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
+        for b in ite:
+            pass
+
+        def check():
+            self.assertEqual(2, stub.attach_calls)
+            self.assertEqual(3, stub.release_until_calls)
+            self.assertEqual(1, stub.release_calls)
+            self.assertEqual(1, stub.execute_calls)
+
+        self.assertEventually(check, timeout_ms=1000)
+
+
+class TestException(grpc.RpcError, grpc.Call):
+    """Exception mock to test retryable exceptions."""
+
+    def __init__(self, msg, code=grpc.StatusCode.INTERNAL):
+        self.msg = msg
+        self._code = code
+
+    def code(self):
+        return self._code
+
+    def __str__(self):
+        return self.msg
+
+    def trailing_metadata(self):
+        return ()
+
+
+class ResponseGenerator(Generator):
+    """This class is used to generate values that are returned by the streaming
+    iterator of the GRPC stub."""
+
+    def __init__(self, funs):
+        self._funs = funs
+        self._iterator = iter(self._funs)
+
+    def send(self, value: Any) -> proto.ExecutePlanResponse:
+        val = next(self._iterator)
+        if callable(val):
+            return val()
+        else:
+            return val
+
+    def throw(self, type: Any = None, value: Any = None, traceback: Any = None) -> Any:
+        super().throw(type, value, traceback)
+
+    def close(self) -> None:
+        return super().close()
+
+
+class MockSparkConnectStub:
+    """Simple mock class for the GRPC stub used by the re-attachable execution."""
+
+    def __init__(self, execute_ops=None, attach_ops=None):
+        self._execute_ops = execute_ops
+        self._attach_ops = attach_ops
+        # Call counters
+        self.execute_calls = 0
+        self.release_calls = 0
+        self.release_until_calls = 0
+        self.attach_calls = 0
+
+    def ExecutePlan(self, *args, **kwargs):
+        self.execute_calls += 1
+        return self._execute_ops
+
+    def ReattachExecute(self, *args, **kwargs):
+        self.attach_calls += 1
+        return self._attach_ops
+
+    def ReleaseExecute(self, req: proto.ReleaseExecuteRequest, *args, **kwargs):
+        if req.HasField("release_all"):
+            self.release_calls += 1
+        elif req.HasField("release_until"):
+            print("increment")
+            self.release_until_calls += 1
+
+
 class MockService:
     # Simplest mock of the SparkConnectService.
     # If this needs more complex logic, it needs to be replaced with Python mocking.

From 2a9dd2b3968da7c2e96c502aaf4c158ee782e5f4 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 18 Sep 2023 13:46:34 +0900
Subject: [PATCH 390/986] [SPARK-45167][CONNECT][PYTHON][FOLLOW-UP] Use lighter
 threading Rlock, and use the existing eventually util function

This PR is a followup of https://github.com/apache/spark/pull/42929 that:
- Use lighter threading `Rlock` instead of multithreading `Rlock`. Multiprocessing does not work with PySpark due to the ser/de problem for socket connections, and many others.
- Use the existing eventually util function `pyspark.testing.eventually` instead of `assertEventually` to deduplicate code.

Mainly for code clean-up.

No.

Existing tests should pass them.

No.

Closes #42965 from HyukjinKwon/SPARK-45167-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d5ff04da217df483d27011f6e38417df2eaa42bd)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/reattach.py |  5 ++--
 .../sql/tests/connect/client/test_client.py   | 23 ++++---------------
 2 files changed, 7 insertions(+), 21 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index e58864b965bd9..6addb5bd2c652 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -18,12 +18,11 @@
 
 check_dependencies(__name__)
 
+from threading import RLock
 import warnings
 import uuid
 from collections.abc import Generator
 from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast, Type, ClassVar
-from multiprocessing import RLock
-from multiprocessing.synchronize import RLock as RLockBase
 from multiprocessing.pool import ThreadPool
 import os
 
@@ -56,7 +55,7 @@ class ExecutePlanResponseReattachableIterator(Generator):
     """
 
     # Lock to manage the pool
-    _lock: ClassVar[RLockBase] = RLock()
+    _lock: ClassVar[RLock] = RLock()
     _release_thread_pool: Optional[ThreadPool] = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
 
     @classmethod
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index cf43fb16df7a7..93b7006799b30 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -25,6 +25,7 @@
 from pyspark.sql.connect.client import SparkConnectClient, ChannelBuilder
 import pyspark.sql.connect.proto as proto
 from pyspark.testing.connectutils import should_test_connect, connect_requirement_message
+from pyspark.testing.utils import eventually
 
 from pyspark.sql.connect.client.core import Retrying
 from pyspark.sql.connect.client.reattach import (
@@ -152,20 +153,6 @@ def _stub_with(self, execute=None, attach=None):
             attach_ops=ResponseGenerator(attach) if attach is not None else None,
         )
 
-    def assertEventually(self, callable, timeout_ms=1000):
-        """Helper method that will continuously evaluate the callable to not raise an
-        exception."""
-        import time
-
-        limit = time.monotonic_ns() + timeout_ms * 1000 * 1000
-        while time.monotonic_ns() < limit:
-            try:
-                callable()
-                break
-            except Exception:
-                time.sleep(0.1)
-        callable()
-
     def test_basic_flow(self):
         stub = self._stub_with([self.response, self.finished])
         ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
@@ -178,7 +165,7 @@ def check_all():
             self.assertEqual(1, stub.release_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        self.assertEventually(check_all, timeout_ms=1000)
+        eventually(timeout=1, catch_assertions=True)(check_all)()
 
     def test_fail_during_execute(self):
         def fatal():
@@ -196,7 +183,7 @@ def check():
             self.assertEqual(1, stub.release_until_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        self.assertEventually(check, timeout_ms=1000)
+        eventually(timeout=1, catch_assertions=True)(check)()
 
     def test_fail_and_retry_during_execute(self):
         def non_fatal():
@@ -215,7 +202,7 @@ def check():
             self.assertEqual(3, stub.release_until_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        self.assertEventually(check, timeout_ms=1000)
+        eventually(timeout=1, catch_assertions=True)(check)()
 
     def test_fail_and_retry_during_reattach(self):
         count = 0
@@ -241,7 +228,7 @@ def check():
             self.assertEqual(1, stub.release_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        self.assertEventually(check, timeout_ms=1000)
+        eventually(timeout=1, catch_assertions=True)(check)()
 
 
 class TestException(grpc.RpcError, grpc.Call):

From 555c8def51e5951c7bf5165a332795e9e330ec9d Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 19 Sep 2023 10:18:18 +0900
Subject: [PATCH 391/986] Revert "Revert "[SPARK-44742][PYTHON][DOCS] Add Spark
 version drop down to the PySpark doc site""

This reverts commit bbe12e148eb1f289cfb1f4412525f4c4381c10a9.
---
 python/docs/source/_static/css/pyspark.css    | 13 ++++
 python/docs/source/_static/versions.json      | 22 ++++++
 .../source/_templates/version-switcher.html   | 77 +++++++++++++++++++
 python/docs/source/conf.py                    |  9 ++-
 4 files changed, 120 insertions(+), 1 deletion(-)
 create mode 100644 python/docs/source/_static/versions.json
 create mode 100644 python/docs/source/_templates/version-switcher.html

diff --git a/python/docs/source/_static/css/pyspark.css b/python/docs/source/_static/css/pyspark.css
index 89b7c65f27a51..ccfe60f2bca64 100644
--- a/python/docs/source/_static/css/pyspark.css
+++ b/python/docs/source/_static/css/pyspark.css
@@ -95,3 +95,16 @@ u.bd-sidebar .nav>li>ul>.active:hover>a,.bd-sidebar .nav>li>ul>.active>a {
 .spec_table tr, td, th {
     border-top: none!important;
 }
+
+/* Styling to the version dropdown */
+#version-button {
+  padding-left: 0.2rem;
+  padding-right: 3.2rem;
+}
+
+#version_switcher {
+  height: auto;
+  max-height: 300px;
+  width: 165px;
+  overflow-y: auto;
+}
diff --git a/python/docs/source/_static/versions.json b/python/docs/source/_static/versions.json
new file mode 100644
index 0000000000000..3d0bd14818064
--- /dev/null
+++ b/python/docs/source/_static/versions.json
@@ -0,0 +1,22 @@
+[
+    {
+        "name": "3.4.1",
+        "version": "3.4.1"
+    },
+    {
+        "name": "3.4.0",
+        "version": "3.4.0"
+    },
+    {
+        "name": "3.3.2",
+        "version": "3.3.2"
+    },
+    {
+        "name": "3.3.1",
+        "version": "3.3.1"
+    },
+    {
+        "name": "3.3.0",
+        "version": "3.3.0"
+    }
+]
diff --git a/python/docs/source/_templates/version-switcher.html b/python/docs/source/_templates/version-switcher.html
new file mode 100644
index 0000000000000..16c443229f4be
--- /dev/null
+++ b/python/docs/source/_templates/version-switcher.html
@@ -0,0 +1,77 @@
+<!--
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements.  See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to You under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License.  You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+<div id="version-button" class="dropdown">
+    <button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
+        {{ release }}
+        <span class="caret"></span>
+    </button>
+    <div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
+    <!-- dropdown will be populated by javascript on page load -->
+    </div>
+</div>
+
+<script type="text/javascript">
+// Function to construct the target URL from the JSON components
+function buildURL(entry) {
+    var template = "{{ switcher_template_url }}";  // supplied by jinja
+    template = template.replace("{version}", entry.version);
+    return template;
+}
+
+// Function to check if corresponding page path exists in other version of docs
+// and, if so, go there instead of the homepage of the other docs version
+function checkPageExistsAndRedirect(event) {
+    const currentFilePath = "{{ pagename }}.html",
+          otherDocsHomepage = event.target.getAttribute("href");
+    let tryUrl = `${otherDocsHomepage}${currentFilePath}`;
+    $.ajax({
+        type: 'HEAD',
+        url: tryUrl,
+        // if the page exists, go there
+        success: function() {
+            location.href = tryUrl;
+        }
+    }).fail(function() {
+        location.href = otherDocsHomepage;
+    });
+    return false;
+}
+
+// Function to populate the version switcher
+(function () {
+    // get JSON config
+    $.getJSON("{{ switcher_json_url }}", function(data, textStatus, jqXHR) {
+        // create the nodes first (before AJAX calls) to ensure the order is
+        // correct (for now, links will go to doc version homepage)
+        $.each(data, function(index, entry) {
+            // if no custom name specified (e.g., "latest"), use version string
+            if (!("name" in entry)) {
+                entry.name = entry.version;
+            }
+            // construct the appropriate URL, and add it to the dropdown
+            entry.url = buildURL(entry);
+            const node = document.createElement("a");
+            node.setAttribute("class", "list-group-item list-group-item-action py-1");
+            node.setAttribute("href", `${entry.url}`);
+            node.textContent = `${entry.name}`;
+            node.onclick = checkPageExistsAndRedirect;
+            $("#version_switcher").append(node);
+        });
+    });
+})();
+</script>
diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 38c331048e7b6..0f57cb37ceeb1 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -177,10 +177,17 @@
 # a list of builtin themes.
 html_theme = 'pydata_sphinx_theme'
 
+html_context = {
+    "switcher_json_url": "_static/versions.json",
+    "switcher_template_url": "https://spark.apache.org/docs/{version}/api/python/index.html",
+}
+
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
 # documentation.
-#html_theme_options = {}
+html_theme_options = {
+    "navbar_end": ["version-switcher"]
+}
 
 # Add any paths that contain custom themes here, relative to this directory.
 #html_theme_path = []

From 6a498087361ecbd653821fc283b9ea0fa703c820 Mon Sep 17 00:00:00 2001
From: Giambattista Bloisi <gbloisi@gmail.com>
Date: Mon, 18 Sep 2023 21:37:09 -0700
Subject: [PATCH 392/986] [SPARK-44910][SQL] Encoders.bean does not support
 superclasses with generic type arguments

### What changes were proposed in this pull request?
This pull request adds Encoders.bean support for beans having a superclass declared with generic type arguments.
For example:

```
class JavaBeanWithGenericsA<T> {
    public T getPropertyA() {
        return null;
    }

    public void setPropertyA(T a) {

    }
}

class JavaBeanWithGenericBase extends JavaBeanWithGenericsA<String> {
}

Encoders.bean(JavaBeanWithGenericBase.class); // Exception
```

That feature had to be part of [PR 42327](https://github.com/apache/spark/commit/1f5d78b5952fcc6c7d36d3338a5594070e3a62dd) but was missing as I was focusing on nested beans only (hvanhovell )

### Why are the changes needed?
JavaTypeInference.encoderFor did not solve TypeVariable objects for superclasses so when managing a case like in the example above an exception was thrown.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests have been extended, new specific tests have been added

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42634 from gbloisi-openaire/SPARK-44910.

Lead-authored-by: Giambattista Bloisi <gbloisi@gmail.com>
Co-authored-by: gbloisi-openaire <141144100+gbloisi-openaire@users.noreply.github.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 7e14c8cc33f0ed0a9c53a888e8a3b17dd2a5d493)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/JavaTypeInference.scala      |  5 +-
 ...erics.java => JavaTypeInferenceBeans.java} | 51 +++++++++++++++++--
 .../sql/catalyst/JavaTypeInferenceSuite.scala | 41 +++++++++++++--
 3 files changed, 88 insertions(+), 9 deletions(-)
 rename sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/{JavaBeanWithGenerics.java => JavaTypeInferenceBeans.java} (54%)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index 3d536b735db59..191ccc5254404 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -130,10 +130,13 @@ object JavaTypeInference {
       // TODO: we should only collect properties that have getter and setter. However, some tests
       //   pass in scala case class as java bean class which doesn't have getter and setter.
       val properties = getJavaBeanReadableProperties(c)
+      // add type variables from inheritance hierarchy of the class
+      val classTV = JavaTypeUtils.getTypeArguments(c, classOf[Object]).asScala.toMap ++
+        typeVariables
       // Note that the fields are ordered by name.
       val fields = properties.map { property =>
         val readMethod = property.getReadMethod
-        val encoder = encoderFor(readMethod.getGenericReturnType, seenTypeSet + c, typeVariables)
+        val encoder = encoderFor(readMethod.getGenericReturnType, seenTypeSet + c, classTV)
         // The existence of `javax.annotation.Nonnull`, means this field is not nullable.
         val hasNonNull = readMethod.isAnnotationPresent(classOf[Nonnull])
         EncoderField(
diff --git a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaTypeInferenceBeans.java
similarity index 54%
rename from sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java
rename to sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaTypeInferenceBeans.java
index b84a3122cf84c..cc3540717ee7d 100644
--- a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaBeanWithGenerics.java
+++ b/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/JavaTypeInferenceBeans.java
@@ -17,25 +17,66 @@
 
 package org.apache.spark.sql.catalyst;
 
-class JavaBeanWithGenerics<T,A> {
+public class JavaTypeInferenceBeans {
+
+  static class JavaBeanWithGenericsA<T> {
+    public T getPropertyA() {
+      return null;
+    }
+
+    public void setPropertyA(T a) {
+
+    }
+  }
+
+  static class JavaBeanWithGenericsAB<T> extends JavaBeanWithGenericsA<String> {
+    public T getPropertyB() {
+      return null;
+    }
+
+    public void setPropertyB(T a) {
+
+    }
+  }
+
+  static class JavaBeanWithGenericsABC<T> extends JavaBeanWithGenericsAB<Long> {
+    public T getPropertyC() {
+      return null;
+    }
+
+    public void setPropertyC(T a) {
+
+    }
+  }
+
+  static class JavaBeanWithGenerics<T, A> {
     private A attribute;
 
     private T value;
 
     public A getAttribute() {
-        return attribute;
+      return attribute;
     }
 
     public void setAttribute(A attribute) {
-        this.attribute = attribute;
+      this.attribute = attribute;
     }
 
     public T getValue() {
-        return value;
+      return value;
     }
 
     public void setValue(T value) {
-        this.value = value;
+      this.value = value;
     }
+  }
+
+  static class JavaBeanWithGenericBase extends JavaBeanWithGenerics<String, String> {
+
+  }
+
+  static class JavaBeanWithGenericHierarchy extends JavaBeanWithGenericsABC<Integer> {
+
+  }
 }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
index 6439997609766..f7c1043d1cb8f 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/JavaTypeInferenceSuite.scala
@@ -24,6 +24,7 @@ import scala.beans.{BeanProperty, BooleanBeanProperty}
 import scala.reflect.{classTag, ClassTag}
 
 import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.catalyst.JavaTypeInferenceBeans.{JavaBeanWithGenericBase, JavaBeanWithGenericHierarchy, JavaBeanWithGenericsABC}
 import org.apache.spark.sql.catalyst.encoders.{AgnosticEncoder, UDTCaseClass, UDTForCaseClass}
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders._
 import org.apache.spark.sql.types.{DecimalType, MapType, Metadata, StringType, StructField, StructType}
@@ -66,7 +67,8 @@ class LeafBean {
   @BeanProperty var period: java.time.Period = _
   @BeanProperty var enum: java.time.Month = _
   @BeanProperty val readOnlyString = "read-only"
-  @BeanProperty var genericNestedBean: JavaBeanWithGenerics[String, String] = _
+  @BeanProperty var genericNestedBean: JavaBeanWithGenericBase = _
+  @BeanProperty var genericNestedBean2: JavaBeanWithGenericsABC[Integer] = _
 
   var nonNullString: String = "value"
   @javax.annotation.Nonnull
@@ -186,8 +188,18 @@ class JavaTypeInferenceSuite extends SparkFunSuite {
       encoderField("duration", DayTimeIntervalEncoder),
       encoderField("enum", JavaEnumEncoder(classTag[java.time.Month])),
       encoderField("genericNestedBean", JavaBeanEncoder(
-        ClassTag(classOf[JavaBeanWithGenerics[String, String]]),
-        Seq(encoderField("attribute", StringEncoder), encoderField("value", StringEncoder)))),
+        ClassTag(classOf[JavaBeanWithGenericBase]),
+        Seq(
+          encoderField("attribute", StringEncoder),
+          encoderField("value", StringEncoder)
+        ))),
+      encoderField("genericNestedBean2", JavaBeanEncoder(
+        ClassTag(classOf[JavaBeanWithGenericsABC[Integer]]),
+        Seq(
+          encoderField("propertyA", StringEncoder),
+          encoderField("propertyB", BoxedLongEncoder),
+          encoderField("propertyC", BoxedIntEncoder)
+        ))),
       encoderField("instant", STRICT_INSTANT_ENCODER),
       encoderField("localDate", STRICT_LOCAL_DATE_ENCODER),
       encoderField("localDateTime", LocalDateTimeEncoder),
@@ -224,4 +236,27 @@ class JavaTypeInferenceSuite extends SparkFunSuite {
     ))
     assert(encoder === expected)
   }
+
+  test("SPARK-44910: resolve bean with generic base class") {
+    val encoder =
+      JavaTypeInference.encoderFor(classOf[JavaBeanWithGenericBase])
+    val expected =
+      JavaBeanEncoder(ClassTag(classOf[JavaBeanWithGenericBase]), Seq(
+        encoderField("attribute", StringEncoder),
+        encoderField("value", StringEncoder)
+      ))
+    assert(encoder === expected)
+  }
+
+  test("SPARK-44910: resolve bean with hierarchy of generic classes") {
+    val encoder =
+      JavaTypeInference.encoderFor(classOf[JavaBeanWithGenericHierarchy])
+    val expected =
+      JavaBeanEncoder(ClassTag(classOf[JavaBeanWithGenericHierarchy]), Seq(
+        encoderField("propertyA", StringEncoder),
+        encoderField("propertyB", BoxedLongEncoder),
+        encoderField("propertyC", BoxedIntEncoder)
+      ))
+    assert(encoder === expected)
+  }
 }

From f357f93fa2cf941c1f1e2745a10865bb12d5ab56 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 19 Sep 2023 16:56:38 +0800
Subject: [PATCH 393/986] [SPARK-45211][CONNECT] Eliminated ambiguous
 references in `CloseableIterator#apply` to fix Scala 2.13 daily test

### What changes were proposed in this pull request?
This pr eliminated an ambiguous references in `org.apache.spark.sql.connect.client.CloseableIterator#apply` function to make the test case `abandoned query gets INVALID_HANDLE.OPERATION_ABANDONED error` can test pass with Scala 2.13.

### Why are the changes needed?
`abandoned query gets INVALID_HANDLE.OPERATION_ABANDONED error`  failed in the daily test of Scala 2.13:
- https://github.com/apache/spark/actions/runs/6215331575/job/16868131377

<img width="1190" alt="image" src="https://github.com/apache/spark/assets/1475305/466370fd-15e5-4ffd-9407-2e4a2fc4efe7">

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- Manual check

run

```
dev/change-scala-version.sh 2.13
build/sbt "connect/testOnly org.apache.spark.sql.connect.execution.ReattachableExecuteSuite" -Pscala-2.13
```

**Before**

```
[info] ReattachableExecuteSuite:
[info] - reattach after initial RPC ends (2 seconds, 258 milliseconds)
[info] - raw interrupted RPC results in INVALID_CURSOR.DISCONNECTED error (30 milliseconds)
[info] - raw new RPC interrupts previous RPC with INVALID_CURSOR.DISCONNECTED error (21 milliseconds)
[info] - client INVALID_CURSOR.DISCONNECTED error is retried when rpc sender gets interrupted (602 milliseconds)
[info] - client INVALID_CURSOR.DISCONNECTED error is retried when other RPC preempts this one (637 milliseconds)
[info] - abandoned query gets INVALID_HANDLE.OPERATION_ABANDONED error *** FAILED *** (70 milliseconds)
[info]   Expected exception org.apache.spark.SparkException to be thrown, but java.lang.StackOverflowError was thrown (ReattachableExecuteSuite.scala:172)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.funsuite.AnyFunSuite.newAssertionFailedException(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Assertions.intercept(Assertions.scala:756)
[info]   at org.scalatest.Assertions.intercept$(Assertions.scala:746)
[info]   at org.scalatest.funsuite.AnyFunSuite.intercept(AnyFunSuite.scala:1564)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.$anonfun$new$18(ReattachableExecuteSuite.scala:172)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.$anonfun$new$18$adapted(ReattachableExecuteSuite.scala:168)
[info]   at org.apache.spark.sql.connect.SparkConnectServerTest.withCustomBlockingStub(SparkConnectServerTest.scala:222)
[info]   at org.apache.spark.sql.connect.SparkConnectServerTest.withCustomBlockingStub$(SparkConnectServerTest.scala:216)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.withCustomBlockingStub(ReattachableExecuteSuite.scala:30)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.$anonfun$new$16(ReattachableExecuteSuite.scala:168)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.$anonfun$new$16$adapted(ReattachableExecuteSuite.scala:151)
[info]   at org.apache.spark.sql.connect.SparkConnectServerTest.withClient(SparkConnectServerTest.scala:199)
[info]   at org.apache.spark.sql.connect.SparkConnectServerTest.withClient$(SparkConnectServerTest.scala:191)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.withClient(ReattachableExecuteSuite.scala:30)
[info]   at org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.$anonfun$new$15(ReattachableExecuteSuite.scala:151)
[info]   at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:333)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Suite.run(Suite.scala:1114)
[info]   at org.scalatest.Suite.run$(Suite.scala:1096)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:69)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:414)
[info]   at java.util.concurrent.FutureTask.run(FutureTask.java:266)
[info]   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info]   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info]   at java.lang.Thread.run(Thread.java:750)
[info]   Cause: java.lang.StackOverflowError:
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
[info]   at org.apache.spark.sql.connect.client.WrappedCloseableIterator.hasNext(CloseableIterator.scala:36)
...
[info] - client releases responses directly after consuming them (236 milliseconds)
[info] - server releases responses automatically when client moves ahead (336 milliseconds)
[info] - big query (863 milliseconds)
[info] - big query and slow client (7 seconds, 14 milliseconds)
[info] - big query with frequent reattach (735 milliseconds)
[info] - big query with frequent reattach and slow client (7 seconds, 606 milliseconds)
[info] - long sleeping query (10 seconds, 156 milliseconds)
[info] Run completed in 34 seconds, 522 milliseconds.
[info] Total number of tests run: 13
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 12, failed 1, canceled 0, ignored 0, pending 0
[info] *** 1 TEST FAILED ***
[error] Failed tests:
[error] 	org.apache.spark.sql.connect.execution.ReattachableExecuteSuite
```

**After**

```
[info] ReattachableExecuteSuite:
[info] - reattach after initial RPC ends (2 seconds, 134 milliseconds)
[info] - raw interrupted RPC results in INVALID_CURSOR.DISCONNECTED error (26 milliseconds)
[info] - raw new RPC interrupts previous RPC with INVALID_CURSOR.DISCONNECTED error (19 milliseconds)
[info] - client INVALID_CURSOR.DISCONNECTED error is retried when rpc sender gets interrupted (328 milliseconds)
[info] - client INVALID_CURSOR.DISCONNECTED error is retried when other RPC preempts this one (562 milliseconds)
[info] - abandoned query gets INVALID_HANDLE.OPERATION_ABANDONED error (46 milliseconds)
[info] - client releases responses directly after consuming them (231 milliseconds)
[info] - server releases responses automatically when client moves ahead (359 milliseconds)
[info] - big query (978 milliseconds)
[info] - big query and slow client (7 seconds, 50 milliseconds)
[info] - big query with frequent reattach (703 milliseconds)
[info] - big query with frequent reattach and slow client (7 seconds, 626 milliseconds)
[info] - long sleeping query (10 seconds, 141 milliseconds)
[info] Run completed in 33 seconds, 844 milliseconds.
[info] Total number of tests run: 13
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 13, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
```
### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42981 from LuciferYang/CloseableIterator-apply.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit eec090755aa5b7e6048fc004264a8f5d3591df1a)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../apache/spark/sql/connect/client/CloseableIterator.scala   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
index d3fc9963edc7a..810158b2ac8b3 100644
--- a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
+++ b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/client/CloseableIterator.scala
@@ -48,9 +48,9 @@ private[sql] object CloseableIterator {
    */
   def apply[T](iterator: Iterator[T]): CloseableIterator[T] = iterator match {
     case closeable: CloseableIterator[T] => closeable
-    case _ =>
+    case iter =>
       new WrappedCloseableIterator[T] {
-        override def innerIterator = iterator
+        override def innerIterator: Iterator[T] = iter
       }
   }
 }

From b2aead9f98d900d139cff41d53f79a37e1e09e81 Mon Sep 17 00:00:00 2001
From: Juliusz Sompolski <julek@databricks.com>
Date: Fri, 15 Sep 2023 19:06:58 -0700
Subject: [PATCH 394/986] [SPARK-44872][CONNECT][FOLLOWUP] Deflake
 ReattachableExecuteSuite and increase retry buffer

### What changes were proposed in this pull request?

Deflake tests in ReattachableExecuteSuite and increase CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE.

### Why are the changes needed?

Two tests could be flaky with errors `INVALID_CURSOR.POSITION_NOT_AVAILABLE`.
This is caused when a server releases the response when it falls more than CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE behind the latest response it sent. However, because of HTTP2 flow control, the responses could still be in transit. In the test suite, we were explicitly disconnecting the iterators and later reconnect... In some cases they could not reconnect, because the response they last seen have fallen too fare behind.

This not only changes the suite, but also adjust the default config. This potentially makes the reconnecting more robust. In normal situation, it should not lead to increased memory pressure, because the clients also release the responses using ReleaseExecute as soon as they are received. Normally, buffered responses should be freed by ReleaseExecute and this retry buffer is only a fallback mechanism. Therefore, it is safe to increase the default.

In practice, this would only have effect in cases where there are actual network errors, and the increased buffer size should make the reconnects more robust in these cases.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

ReattachableExecuteSuite.
Did more manual experiments of how far the response sent by client can be behind the response sent by server (because of HTTP2 flow control window)

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42908 from juliuszsompolski/SPARK-44872-followup.

Authored-by: Juliusz Sompolski <julek@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/connect/config/Connect.scala    |  2 +-
 .../sql/connect/SparkConnectServerTest.scala  |  2 +-
 .../execution/ReattachableExecuteSuite.scala  | 26 ++++++++++++-------
 3 files changed, 18 insertions(+), 12 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
index 7b8b05ce11a82..253ac38f9cf9e 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/config/Connect.scala
@@ -133,7 +133,7 @@ object Connect {
           "With any value greater than 0, the last sent response will always be buffered.")
       .version("3.5.0")
       .bytesConf(ByteUnit.BYTE)
-      .createWithDefaultString("1m")
+      .createWithDefaultString("10m")
 
   val CONNECT_EXTENSIONS_RELATION_CLASSES =
     buildStaticConf("spark.connect.extensions.relation.classes")
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
index 488858d33ea12..eddd1c6be72b1 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
@@ -35,7 +35,7 @@ import org.apache.spark.sql.test.SharedSparkSession
  * Base class and utilities for a test suite that starts and tests the real SparkConnectService
  * with a real SparkConnectClient, communicating over RPC, but both in-process.
  */
-class SparkConnectServerTest extends SharedSparkSession {
+trait SparkConnectServerTest extends SharedSparkSession {
 
   // Server port
   val serverPort: Int =
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
index 169b15582b698..0e29a07b719af 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -22,7 +22,7 @@ import io.grpc.StatusRuntimeException
 import org.scalatest.concurrent.Eventually
 import org.scalatest.time.SpanSugar._
 
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkEnv, SparkException}
 import org.apache.spark.sql.connect.SparkConnectServerTest
 import org.apache.spark.sql.connect.config.Connect
 import org.apache.spark.sql.connect.service.SparkConnectService
@@ -32,7 +32,7 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
   // Tests assume that this query will result in at least a couple ExecutePlanResponses on the
   // stream. If this is no longer the case because of changes in how much is returned in a single
   // ExecutePlanResponse, it may need to be adjusted.
-  val MEDIUM_RESULTS_QUERY = "select * from range(1000000)"
+  val MEDIUM_RESULTS_QUERY = "select * from range(10000000)"
 
   test("reattach after initial RPC ends") {
     withClient { client =>
@@ -138,13 +138,12 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
         val reattachIter = stub.reattachExecute(
           buildReattachExecuteRequest(operationId, Some(response.getResponseId)))
         assert(reattachIter.hasNext)
-        reattachIter.next()
-
-        // Nevertheless, the original iterator will handle the INVALID_CURSOR.DISCONNECTED error
-        iter.next()
-        // iterator changed because it had to reconnect
-        assert(reattachableIter.innerIterator ne initialInnerIter)
       }
+
+      // Nevertheless, the original iterator will handle the INVALID_CURSOR.DISCONNECTED error
+      iter.next()
+      // iterator changed because it had to reconnect
+      assert(reattachableIter.innerIterator ne initialInnerIter)
     }
   }
 
@@ -246,19 +245,26 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
       val iter = stub.executePlan(
         buildExecutePlanRequest(buildPlan(MEDIUM_RESULTS_QUERY), operationId = operationId))
       var lastSeenResponse: String = null
+      val serverRetryBuffer = SparkEnv.get.conf
+        .get(Connect.CONNECT_EXECUTE_REATTACHABLE_OBSERVER_RETRY_BUFFER_SIZE)
+        .toLong
 
       iter.hasNext // open iterator
       val execution = getExecutionHolder
 
       // after consuming enough from the iterator, server should automatically start releasing
       var lastSeenIndex = 0
-      while (iter.hasNext && execution.responseObserver.releasedUntilIndex == 0) {
+      var totalSizeSeen = 0
+      while (iter.hasNext && totalSizeSeen <= 1.1 * serverRetryBuffer) {
         val r = iter.next()
         lastSeenResponse = r.getResponseId()
+        totalSizeSeen += r.getSerializedSize
         lastSeenIndex += 1
       }
       assert(iter.hasNext)
-      assert(execution.responseObserver.releasedUntilIndex > 0)
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(execution.responseObserver.releasedUntilIndex > 0)
+      }
 
       // Reattach from the beginning is not available.
       val reattach = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))

From 71d5b110660f028bf3b097e6b5805fe68126b4cd Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Tue, 19 Sep 2023 22:56:44 -0700
Subject: [PATCH 395/986] [SPARK-45189][3.5][SQL] Creating UnresolvedRelation
 from TableIdentifier should include the catalog field

### What changes were proposed in this pull request?

Creating UnresolvedRelation from TableIdentifier should include the catalog field

### Why are the changes needed?

Fix a issue in a utility method for UnresolvedRelation

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

New unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42998 from gengliangwang/backportTableId.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/catalyst/analysis/unresolved.scala     |  5 ++---
 .../spark/sql/catalyst/parser/PlanParserSuite.scala  | 12 ++++++++++++
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
index 1c72ec0d69980..b1dcb465b4778 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
@@ -104,12 +104,11 @@ object UnresolvedRelation {
       tableIdentifier: TableIdentifier,
       extraOptions: CaseInsensitiveStringMap,
       isStreaming: Boolean): UnresolvedRelation = {
-    UnresolvedRelation(
-      tableIdentifier.database.toSeq :+ tableIdentifier.table, extraOptions, isStreaming)
+    UnresolvedRelation(tableIdentifier.nameParts, extraOptions, isStreaming)
   }
 
   def apply(tableIdentifier: TableIdentifier): UnresolvedRelation =
-    UnresolvedRelation(tableIdentifier.database.toSeq :+ tableIdentifier.table)
+    UnresolvedRelation(tableIdentifier.nameParts)
 }
 
 /**
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
index 4a5d0a0ae29fa..13474fe29de98 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{Decimal, DecimalType, IntegerType, LongType, StringType}
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
 
 /**
  * Parser test cases for rules defined in [[CatalystSqlParser]] / [[AstBuilder]].
@@ -1758,4 +1759,15 @@ class PlanParserSuite extends AnalysisTest {
       parsePlan("SELECT * FROM a LIMIT ?"),
       table("a").select(star()).limit(PosParameter(22)))
   }
+
+  test("SPARK-45189: Creating UnresolvedRelation from TableIdentifier should include the" +
+    " catalog field") {
+    val tableId = TableIdentifier("t", Some("db"), Some("cat"))
+    val unresolvedRelation = UnresolvedRelation(tableId)
+    assert(unresolvedRelation.multipartIdentifier == Seq("cat", "db", "t"))
+    val unresolvedRelation2 = UnresolvedRelation(tableId, CaseInsensitiveStringMap.empty, true)
+    assert(unresolvedRelation2.multipartIdentifier == Seq("cat", "db", "t"))
+    assert(unresolvedRelation2.options == CaseInsensitiveStringMap.empty)
+    assert(unresolvedRelation2.isStreaming)
+  }
 }

From 6ab870f6a9915da2d9f231586b9b85b8faf94e2e Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Wed, 20 Sep 2023 17:45:22 +0800
Subject: [PATCH 396/986] [SPARK-43979][SQL][FOLLOWUP] Handle non alias-only
 project case

### What changes were proposed in this pull request?

`simplifyPlanForCollectedMetrics ` still could need to handle non alias-only project case where the project contains a mixed of aliases and attributes. In such case `simplifyPlanForCollectedMetrics` should also drop the extra project for the plan check when it contains CollectedMetrics.

### Why are the changes needed?

Improve `simplifyPlanForCollectedMetrics` so it handles more plan pattern.

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #42971 from amaliujia/improve_simplification.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d92d6f60342ca4d005cc2c1db94dc3b107f5d89b)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/CheckAnalysis.scala      |  4 +++-
 .../sql/catalyst/analysis/AnalysisSuite.scala      | 14 ++++++++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 43546bcaa421a..139fa34a1dfcf 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -1109,7 +1109,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
    * remove extra project which only re-assign expr ids from the plan so that we can identify exact
    * duplicates metric definition.
    */
-  private def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
+  def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
     plan.resolveOperators {
       case p: Project if p.projectList.size == p.child.output.size =>
         val assignExprIdOnly = p.projectList.zipWithIndex.forall {
@@ -1118,6 +1118,8 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
             // ordinal of this attribute in the child outputs. So an alias-only Project means the
             // the id of the aliased attribute is the same as its index in the project list.
             attr.exprId.id == index
+          case (left: AttributeReference, index) =>
+            left.exprId.id == index
           case _ => false
         }
         if (assignExprIdOnly) {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 06c3e3eb0405a..57b37e67b32b8 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1667,4 +1667,18 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       checkAnalysis(ident2.select($"a"), testRelation.select($"a").analyze)
     }
   }
+
+  test("simplifyPlanForCollectedMetrics should handle non alias-only project case") {
+    val inner = Project(
+      Seq(
+        Alias(testRelation2.output(0), "a")(),
+        testRelation2.output(1),
+        Alias(testRelation2.output(2), "c")(),
+        testRelation2.output(3),
+        testRelation2.output(4)
+      ),
+      testRelation2)
+    val actualPlan = getAnalyzer.simplifyPlanForCollectedMetrics(inner.canonicalized)
+    assert(actualPlan == testRelation2.canonicalized)
+  }
 }

From 326f8297224a0c02b2db8c8cb3f4b92cdc0dafb4 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 20 Sep 2023 08:46:53 -0700
Subject: [PATCH 397/986] [SPARK-45237][DOCS] Change the default value of
 `spark.history.store.hybridStore.diskBackend` in `monitoring.md` to `ROCKSDB`

### What changes were proposed in this pull request?
This pr change the default value of `spark.history.store.hybridStore.diskBackend` in `monitoring.md` to `ROCKSDB`

### Why are the changes needed?
SPARK-42277 change to use `RocksDB` for `spark.history.store.hybridStore.diskBackend` by default, but in `monitoring.md`, the default value is still set as `LEVELDB`.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43015 from LuciferYang/SPARK-45237.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit f1bc0f938162485a96de5788f53f9fa4fb37a3b1)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/monitoring.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/monitoring.md b/docs/monitoring.md
index ebd8781fd0071..91b158bf85d26 100644
--- a/docs/monitoring.md
+++ b/docs/monitoring.md
@@ -414,7 +414,7 @@ Security options for the Spark History Server are covered more detail in the
   </tr>
   <tr>
     <td>spark.history.store.hybridStore.diskBackend</td>
-    <td>LEVELDB</td>
+    <td>ROCKSDB</td>
     <td>
       Specifies a disk-based store used in hybrid store; LEVELDB or ROCKSDB.
     </td>

From 5af0819654aca896d73c16875b07b2143cb1132c Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Fri, 22 Sep 2023 11:07:25 +0800
Subject: [PATCH 398/986] [SPARK-41086][SQL] Use DataFrame ID to semantically
 validate CollectMetrics

### What changes were proposed in this pull request?

In existing code, plan matching is used to validate if two CollectMetrics have the same name but different semantic. However, plan matching approach is fragile. A better way to tackle this is to just utilize the unique DataFrame Id. This is because observe API is only supported by DataFrame API. SQL does not have such syntax.

So two CollectMetric are semantic the same if and only if they have same name and same DataFrame id.

### Why are the changes needed?

This is to use a more stable approach to replace a fragile approach.

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #43010 from amaliujia/another_approch_for_collect_metrics.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7c3c7c5a4bd94c9e05b5e680a5242c2485875633)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../connect/planner/SparkConnectPlanner.scala |  6 +-
 python/pyspark/sql/connect/plan.py            |  1 +
 .../sql/catalyst/analysis/Analyzer.scala      |  4 +-
 .../sql/catalyst/analysis/CheckAnalysis.scala | 36 ++----------
 .../plans/logical/basicLogicalOperators.scala |  3 +-
 .../sql/catalyst/analysis/AnalysisSuite.scala | 55 +++++++------------
 .../scala/org/apache/spark/sql/Dataset.scala  |  2 +-
 .../spark/sql/execution/SparkStrategies.scala |  2 +-
 8 files changed, 35 insertions(+), 74 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 641dfc5dcd3c8..50a55f5e6411d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -164,7 +164,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       case proto.Relation.RelTypeCase.CACHED_REMOTE_RELATION =>
         transformCachedRemoteRelation(rel.getCachedRemoteRelation)
       case proto.Relation.RelTypeCase.COLLECT_METRICS =>
-        transformCollectMetrics(rel.getCollectMetrics)
+        transformCollectMetrics(rel.getCollectMetrics, rel.getCommon.getPlanId)
       case proto.Relation.RelTypeCase.PARSE => transformParse(rel.getParse)
       case proto.Relation.RelTypeCase.RELTYPE_NOT_SET =>
         throw new IndexOutOfBoundsException("Expected Relation to be set, but is empty.")
@@ -1054,12 +1054,12 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       numPartitionsOpt)
   }
 
-  private def transformCollectMetrics(rel: proto.CollectMetrics): LogicalPlan = {
+  private def transformCollectMetrics(rel: proto.CollectMetrics, planId: Long): LogicalPlan = {
     val metrics = rel.getMetricsList.asScala.toSeq.map { expr =>
       Column(transformExpression(expr))
     }
 
-    CollectMetrics(rel.getName, metrics.map(_.named), transformRelation(rel.getInput))
+    CollectMetrics(rel.getName, metrics.map(_.named), transformRelation(rel.getInput), planId)
   }
 
   private def transformDeduplicate(rel: proto.Deduplicate): LogicalPlan = {
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 196b1f119ba41..b7ea1f9499354 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -1196,6 +1196,7 @@ def plan(self, session: "SparkConnectClient") -> proto.Relation:
         assert self._child is not None
 
         plan = proto.Relation()
+        plan.common.plan_id = self._child._plan_id
         plan.collect_metrics.input.CopyFrom(self._child.plan(session))
         plan.collect_metrics.name = self._name
         plan.collect_metrics.metrics.extend([self.col_to_expr(x, session) for x in self._exprs])
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 6c5d19f58ac25..8e3c9b30c61bf 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -3796,9 +3796,9 @@ object CleanupAliases extends Rule[LogicalPlan] with AliasHelper {
       Window(cleanedWindowExprs, partitionSpec.map(trimAliases),
         orderSpec.map(trimAliases(_).asInstanceOf[SortOrder]), child)
 
-    case CollectMetrics(name, metrics, child) =>
+    case CollectMetrics(name, metrics, child, dataframeId) =>
       val cleanedMetrics = metrics.map(trimNonTopLevelAliases)
-      CollectMetrics(name, cleanedMetrics, child)
+      CollectMetrics(name, cleanedMetrics, child, dataframeId)
 
     case Unpivot(ids, values, aliases, variableColumnName, valueColumnNames, child) =>
       val cleanedIds = ids.map(_.map(trimNonTopLevelAliases))
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 139fa34a1dfcf..511f3622e7e35 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -484,7 +484,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
             groupingExprs.foreach(checkValidGroupingExprs)
             aggregateExprs.foreach(checkValidAggregateExpression)
 
-          case CollectMetrics(name, metrics, _) =>
+          case CollectMetrics(name, metrics, _, _) =>
             if (name == null || name.isEmpty) {
               operator.failAnalysis(
                 errorClass = "INVALID_OBSERVED_METRICS.MISSING_NAME",
@@ -1075,17 +1075,15 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
    * are allowed (e.g. self-joins).
    */
   private def checkCollectedMetrics(plan: LogicalPlan): Unit = {
-    val metricsMap = mutable.Map.empty[String, LogicalPlan]
+    val metricsMap = mutable.Map.empty[String, CollectMetrics]
     def check(plan: LogicalPlan): Unit = plan.foreach { node =>
       node match {
-        case metrics @ CollectMetrics(name, _, _) =>
-          val simplifiedMetrics = simplifyPlanForCollectedMetrics(metrics.canonicalized)
+        case metrics @ CollectMetrics(name, _, _, dataframeId) =>
           metricsMap.get(name) match {
             case Some(other) =>
-              val simplifiedOther = simplifyPlanForCollectedMetrics(other.canonicalized)
               // Exact duplicates are allowed. They can be the result
               // of a CTE that is used multiple times or a self join.
-              if (simplifiedMetrics != simplifiedOther) {
+              if (dataframeId != other.dataframeId) {
                 failAnalysis(
                   errorClass = "DUPLICATED_METRICS_NAME",
                   messageParameters = Map("metricName" -> name))
@@ -1104,32 +1102,6 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
     check(plan)
   }
 
-  /**
-   * This method is only used for checking collected metrics. This method tries to
-   * remove extra project which only re-assign expr ids from the plan so that we can identify exact
-   * duplicates metric definition.
-   */
-  def simplifyPlanForCollectedMetrics(plan: LogicalPlan): LogicalPlan = {
-    plan.resolveOperators {
-      case p: Project if p.projectList.size == p.child.output.size =>
-        val assignExprIdOnly = p.projectList.zipWithIndex.forall {
-          case (Alias(attr: AttributeReference, _), index) =>
-            // The input plan of this method is already canonicalized. The attribute id becomes the
-            // ordinal of this attribute in the child outputs. So an alias-only Project means the
-            // the id of the aliased attribute is the same as its index in the project list.
-            attr.exprId.id == index
-          case (left: AttributeReference, index) =>
-            left.exprId.id == index
-          case _ => false
-        }
-        if (assignExprIdOnly) {
-          p.child
-        } else {
-          p
-        }
-    }
-  }
-
   /**
    * Validates to make sure the outer references appearing inside the subquery
    * are allowed.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index 4bb830662a33f..96b67fc52e0d7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1952,7 +1952,8 @@ trait SupportsSubquery extends LogicalPlan
 case class CollectMetrics(
     name: String,
     metrics: Seq[NamedExpression],
-    child: LogicalPlan)
+    child: LogicalPlan,
+    dataframeId: Long)
   extends UnaryNode {
 
   override lazy val resolved: Boolean = {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 57b37e67b32b8..802b6d471a65c 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -771,34 +771,35 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     val literal = Literal(1).as("lit")
 
     // Ok
-    assert(CollectMetrics("event", literal :: sum :: random_sum :: Nil, testRelation).resolved)
+    assert(CollectMetrics("event", literal :: sum :: random_sum :: Nil, testRelation, 0).resolved)
 
     // Bad name
-    assert(!CollectMetrics("", sum :: Nil, testRelation).resolved)
+    assert(!CollectMetrics("", sum :: Nil, testRelation, 0).resolved)
     assertAnalysisErrorClass(
-      CollectMetrics("", sum :: Nil, testRelation),
+      CollectMetrics("", sum :: Nil, testRelation, 0),
       expectedErrorClass = "INVALID_OBSERVED_METRICS.MISSING_NAME",
       expectedMessageParameters = Map(
-        "operator" -> "'CollectMetrics , [sum(a#x) AS sum#xL]\n+- LocalRelation <empty>, [a#x]\n")
+        "operator" ->
+          "'CollectMetrics , [sum(a#x) AS sum#xL], 0\n+- LocalRelation <empty>, [a#x]\n")
     )
 
     // No columns
-    assert(!CollectMetrics("evt", Nil, testRelation).resolved)
+    assert(!CollectMetrics("evt", Nil, testRelation, 0).resolved)
 
     def checkAnalysisError(exprs: Seq[NamedExpression], errors: String*): Unit = {
-      assertAnalysisError(CollectMetrics("event", exprs, testRelation), errors)
+      assertAnalysisError(CollectMetrics("event", exprs, testRelation, 0), errors)
     }
 
     // Unwrapped attribute
     assertAnalysisErrorClass(
-      CollectMetrics("event", a :: Nil, testRelation),
+      CollectMetrics("event", a :: Nil, testRelation, 0),
       expectedErrorClass = "INVALID_OBSERVED_METRICS.NON_AGGREGATE_FUNC_ARG_IS_ATTRIBUTE",
       expectedMessageParameters = Map("expr" -> "\"a\"")
     )
 
     // Unwrapped non-deterministic expression
     assertAnalysisErrorClass(
-      CollectMetrics("event", Rand(10).as("rnd") :: Nil, testRelation),
+      CollectMetrics("event", Rand(10).as("rnd") :: Nil, testRelation, 0),
       expectedErrorClass = "INVALID_OBSERVED_METRICS.NON_AGGREGATE_FUNC_ARG_IS_NON_DETERMINISTIC",
       expectedMessageParameters = Map("expr" -> "\"rand(10) AS rnd\"")
     )
@@ -808,7 +809,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       CollectMetrics(
         "event",
         Sum(a).toAggregateExpression(isDistinct = true).as("sum") :: Nil,
-        testRelation),
+        testRelation, 0),
       expectedErrorClass =
         "INVALID_OBSERVED_METRICS.AGGREGATE_EXPRESSION_WITH_DISTINCT_UNSUPPORTED",
       expectedMessageParameters = Map("expr" -> "\"sum(DISTINCT a) AS sum\"")
@@ -819,7 +820,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       CollectMetrics(
         "event",
         Sum(Sum(a).toAggregateExpression()).toAggregateExpression().as("sum") :: Nil,
-        testRelation),
+        testRelation, 0),
       expectedErrorClass = "INVALID_OBSERVED_METRICS.NESTED_AGGREGATES_UNSUPPORTED",
       expectedMessageParameters = Map("expr" -> "\"sum(sum(a)) AS sum\"")
     )
@@ -830,7 +831,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       WindowSpecDefinition(Nil, a.asc :: Nil,
         SpecifiedWindowFrame(RowFrame, UnboundedPreceding, CurrentRow)))
     assertAnalysisErrorClass(
-      CollectMetrics("event", windowExpr.as("rn") :: Nil, testRelation),
+      CollectMetrics("event", windowExpr.as("rn") :: Nil, testRelation, 0),
       expectedErrorClass = "INVALID_OBSERVED_METRICS.WINDOW_EXPRESSIONS_UNSUPPORTED",
       expectedMessageParameters = Map(
         "expr" ->
@@ -848,14 +849,14 @@ class AnalysisSuite extends AnalysisTest with Matchers {
 
     // Same result - duplicate names are allowed
     assertAnalysisSuccess(Union(
-      CollectMetrics("evt1", count :: Nil, testRelation) ::
-      CollectMetrics("evt1", count :: Nil, testRelation) :: Nil))
+      CollectMetrics("evt1", count :: Nil, testRelation, 0) ::
+      CollectMetrics("evt1", count :: Nil, testRelation, 0) :: Nil))
 
     // Same children, structurally different metrics - fail
     assertAnalysisErrorClass(
       Union(
-        CollectMetrics("evt1", count :: Nil, testRelation) ::
-          CollectMetrics("evt1", sum :: Nil, testRelation) :: Nil),
+        CollectMetrics("evt1", count :: Nil, testRelation, 0) ::
+          CollectMetrics("evt1", sum :: Nil, testRelation, 1) :: Nil),
       expectedErrorClass = "DUPLICATED_METRICS_NAME",
       expectedMessageParameters = Map("metricName" -> "evt1")
     )
@@ -865,17 +866,17 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     val tblB = LocalRelation(b)
     assertAnalysisErrorClass(
       Union(
-        CollectMetrics("evt1", count :: Nil, testRelation) ::
-          CollectMetrics("evt1", count :: Nil, tblB) :: Nil),
+        CollectMetrics("evt1", count :: Nil, testRelation, 0) ::
+          CollectMetrics("evt1", count :: Nil, tblB, 1) :: Nil),
       expectedErrorClass = "DUPLICATED_METRICS_NAME",
       expectedMessageParameters = Map("metricName" -> "evt1")
     )
 
     // Subquery different tree - fail
-    val subquery = Aggregate(Nil, sum :: Nil, CollectMetrics("evt1", count :: Nil, testRelation))
+    val subquery = Aggregate(Nil, sum :: Nil, CollectMetrics("evt1", count :: Nil, testRelation, 0))
     val query = Project(
       b :: ScalarSubquery(subquery, Nil).as("sum") :: Nil,
-      CollectMetrics("evt1", count :: Nil, tblB))
+      CollectMetrics("evt1", count :: Nil, tblB, 1))
     assertAnalysisErrorClass(
       query,
       expectedErrorClass = "DUPLICATED_METRICS_NAME",
@@ -887,7 +888,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       case a: AggregateExpression => a.copy(filter = Some(true))
     }.asInstanceOf[NamedExpression]
     assertAnalysisErrorClass(
-      CollectMetrics("evt1", sumWithFilter :: Nil, testRelation),
+      CollectMetrics("evt1", sumWithFilter :: Nil, testRelation, 0),
       expectedErrorClass =
         "INVALID_OBSERVED_METRICS.AGGREGATE_EXPRESSION_WITH_FILTER_UNSUPPORTED",
       expectedMessageParameters = Map("expr" -> "\"sum(a) FILTER (WHERE true) AS sum\"")
@@ -1667,18 +1668,4 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       checkAnalysis(ident2.select($"a"), testRelation.select($"a").analyze)
     }
   }
-
-  test("simplifyPlanForCollectedMetrics should handle non alias-only project case") {
-    val inner = Project(
-      Seq(
-        Alias(testRelation2.output(0), "a")(),
-        testRelation2.output(1),
-        Alias(testRelation2.output(2), "c")(),
-        testRelation2.output(3),
-        testRelation2.output(4)
-      ),
-      testRelation2)
-    val actualPlan = getAnalyzer.simplifyPlanForCollectedMetrics(inner.canonicalized)
-    assert(actualPlan == testRelation2.canonicalized)
-  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index fd8421fa096cc..e047b927b9057 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -2189,7 +2189,7 @@ class Dataset[T] private[sql](
   */
   @varargs
   def observe(name: String, expr: Column, exprs: Column*): Dataset[T] = withTypedPlan {
-    CollectMetrics(name, (expr +: exprs).map(_.named), logicalPlan)
+    CollectMetrics(name, (expr +: exprs).map(_.named), logicalPlan, id)
   }
 
   /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
index 903565a6d591b..d851eacd5ab92 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
@@ -935,7 +935,7 @@ abstract class SparkStrategies extends QueryPlanner[SparkPlan] {
         throw QueryExecutionErrors.ddlUnsupportedTemporarilyError("UPDATE TABLE")
       case _: MergeIntoTable =>
         throw QueryExecutionErrors.ddlUnsupportedTemporarilyError("MERGE INTO TABLE")
-      case logical.CollectMetrics(name, metrics, child) =>
+      case logical.CollectMetrics(name, metrics, child, _) =>
         execution.CollectMetricsExec(name, metrics, planLater(child)) :: Nil
       case WriteFiles(child, fileFormat, partitionColumns, bucket, options, staticPartitions) =>
         WriteFilesExec(planLater(child), fileFormat, partitionColumns, bucket, options,

From 609306ff5daa8ff7c2212088d33c0911ad0f4989 Mon Sep 17 00:00:00 2001
From: Sean Owen <srowen@gmail.com>
Date: Sun, 24 Sep 2023 14:17:55 -0500
Subject: [PATCH 399/986] [SPARK-45286][DOCS] Add back Matomo analytics

### What changes were proposed in this pull request?

Add analytics to doc pages using the ASF's Matomo service

### Why are the changes needed?

We had previously removed Google Analytics from the website and release docs, per ASF policy: https://github.com/apache/spark/pull/36310

We just restored analytics using the ASF-hosted Matomo service on the website:
https://github.com/apache/spark-website/commit/a1548627b48a62c2e51870d1488ca3e09397bd30

This change would put the same new tracking code back into the release docs. It would let us see what docs and resources are most used, I suppose.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

N/A

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43063 from srowen/SPARK-45286.

Authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit a881438114ea3e8e918d981ef89ed1ab956d6fca)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 docs/_layouts/global.html | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index 9b7c469246165..8c4435fdf31d9 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -32,6 +32,25 @@
         <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.css" />
         <link rel="stylesheet" href="css/docsearch.css">
 
+        {% production %}
+        <!-- Matomo -->
+        <script>
+            var _paq = window._paq = window._paq || [];
+            /* tracker methods like "setCustomDimension" should be called before "trackPageView" */
+            _paq.push(["disableCookies"]);
+            _paq.push(['trackPageView']);
+            _paq.push(['enableLinkTracking']);
+            (function() {
+              var u="https://analytics.apache.org/";
+              _paq.push(['setTrackerUrl', u+'matomo.php']);
+              _paq.push(['setSiteId', '40']);
+              var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0];
+              g.async=true; g.src=u+'matomo.js'; s.parentNode.insertBefore(g,s);
+            })();
+        </script>
+        <!-- End Matomo Code -->
+        {% endproduction %}
+
     </head>
     <body class="global">
         <!--[if lt IE 7]>

From 94661758c3072a279a29d0c493ce419af0414d3a Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 25 Sep 2023 14:23:46 +0800
Subject: [PATCH 400/986] [SPARK-45291][SQL][REST] Use unknown query execution
 id instead of no such app when id is invalid

### What changes were proposed in this pull request?

This PR fixes `/api/v1/applications/{appId}/sql/{executionId}` API when the executionId is invalid.

Before this, we get `no such app: $appId`; after this, we get `unknown query execution id: $executionId`

### Why are the changes needed?

bugfix

### Does this PR introduce _any_ user-facing change?

no, bugfix

### How was this patch tested?

new test
### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43073 from yaooqinn/SPARK-45291.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 5d422155f1dae09f1631375d09e2f3c8dffba9a5)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/status/api/v1/sql/SqlResource.scala | 3 +--
 .../api/v1/sql/SqlResourceWithActualMetricsSuite.scala   | 9 +++++++++
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala b/sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala
index 3c96f612da6bb..fa5bea5f9bbe3 100644
--- a/sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala
+++ b/sql/core/src/main/scala/org/apache/spark/status/api/v1/sql/SqlResource.scala
@@ -56,10 +56,9 @@ private[v1] class SqlResource extends BaseAppResource {
       planDescription: Boolean): ExecutionData = {
     withUI { ui =>
       val sqlStore = new SQLAppStatusStore(ui.store.store)
-      val graph = sqlStore.planGraph(execId)
       sqlStore
         .execution(execId)
-        .map(prepareExecutionData(_, graph, details, planDescription))
+        .map(prepareExecutionData(_, sqlStore.planGraph(execId), details, planDescription))
         .getOrElse(throw new NotFoundException("unknown query execution id: " + execId))
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala b/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
index 658f79fc28942..c63c748953f1a 100644
--- a/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.status.api.v1.sql
 
 import java.net.URL
 import java.text.SimpleDateFormat
+import javax.servlet.http.HttpServletResponse
 
 import org.json4s.DefaultFormats
 import org.json4s.jackson.JsonMethods
@@ -148,4 +149,12 @@ class SqlResourceWithActualMetricsSuite
     }
   }
 
+  test("SPARK-45291: Use unknown query execution id instead of no such app when id is invalid") {
+    val url = new URL(spark.sparkContext.ui.get.webUrl +
+      s"/api/v1/applications/${spark.sparkContext.applicationId}/sql/${Long.MaxValue}")
+    val (code, resultOpt, error) = getContentAndCode(url)
+    assert(code === HttpServletResponse.SC_NOT_FOUND)
+    assert(resultOpt.isEmpty)
+    assert(error.get === s"unknown query execution id: ${Long.MaxValue}")
+  }
 }

From 3551f8b89f1d70a9218b8c0331bddc06c5020e95 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 25 Sep 2023 19:06:02 +0800
Subject: [PATCH 401/986] [SPARK-45306][SQL][TESTS] Make
 `InMemoryColumnarBenchmark` use AQE-aware utils to collect plans

### What changes were proposed in this pull request?
This pr makes `InMemoryColumnarBenchmark` inherit from AdaptiveSparkPlanHelper and use the `AdaptiveSparkPlanHelper#collect` function to collect plans, enabling `InMemoryColumnarBenchmark` to run successfully.

### Why are the changes needed?
After SPARK-42768 merged, the default value of `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` has changed from false to true, so `InMemoryColumnarBenchmark ` should use AQE-aware utils to collect plans.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Manual verification.

run `build/sbt "sql/Test/runMain org.apache.spark.sql.execution.columnar.InMemoryColumnarBenchmark"`

**Before**

```
[error] Exception in thread "main" java.lang.IndexOutOfBoundsException: 0
[error] 	at scala.collection.LinearSeqOps.apply(LinearSeq.scala:131)
[error] 	at scala.collection.LinearSeqOps.apply$(LinearSeq.scala:128)
[error] 	at scala.collection.immutable.List.apply(List.scala:79)
[error] 	at org.apache.spark.sql.execution.columnar.InMemoryColumnarBenchmark$.intCache(InMemoryColumnarBenchmark.scala:47)
[error] 	at org.apache.spark.sql.execution.columnar.InMemoryColumnarBenchmark$.$anonfun$runBenchmarkSuite$1(InMemoryColumnarBenchmark.scala:68)
[error] 	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
[error] 	at org.apache.spark.benchmark.BenchmarkBase.runBenchmark(BenchmarkBase.scala:42)
[error] 	at org.apache.spark.sql.execution.columnar.InMemoryColumnarBenchmark$.runBenchmarkSuite(InMemoryColumnarBenchmark.scala:68)
[error] 	at org.apache.spark.benchmark.BenchmarkBase.main(BenchmarkBase.scala:72)
[error] 	at org.apache.spark.sql.execution.columnar.InMemoryColumnarBenchmark.main(InMemoryColumnarBenchmark.scala)
[error] Nonzero exit code returned from runner: 1
[error] (sql / Test / runMain) Nonzero exit code returned from runner: 1
```

**After**

```
[info] OpenJDK 64-Bit Server VM 17.0.8+7-LTS on Mac OS X 13.5.2
[info] Apple M2 Max
[info] Int In-Memory scan:                         Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
[info] --------------------------------------------------------------------------------------------------------------------------
[info] columnar deserialization + columnar-to-row             95            116          34         10.5          95.4       1.0X
[info] row-based deserialization                              85             99          22         11.8          85.1       1.1X
```
### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43093 from LuciferYang/fix-InMemoryColumnarBenchmark.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7e9666be15b5210db00231faacd3cfa15ed71907)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/execution/columnar/InMemoryColumnarBenchmark.scala   | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarBenchmark.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarBenchmark.scala
index 55d9fb2731799..1f132dabd2878 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarBenchmark.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarBenchmark.scala
@@ -18,6 +18,7 @@ package org.apache.spark.sql.execution.columnar
 
 import org.apache.spark.benchmark.Benchmark
 import org.apache.spark.sql.execution.ColumnarToRowExec
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.benchmark.SqlBasedBenchmark
 
 /**
@@ -33,11 +34,11 @@ import org.apache.spark.sql.execution.benchmark.SqlBasedBenchmark
  *      Results will be written to "benchmarks/InMemoryColumnarBenchmark-results.txt".
  * }}}
  */
-object InMemoryColumnarBenchmark extends SqlBasedBenchmark {
+object InMemoryColumnarBenchmark extends SqlBasedBenchmark with AdaptiveSparkPlanHelper {
   def intCache(rowsNum: Long, numIters: Int): Unit = {
     val data = spark.range(0, rowsNum, 1, 1).toDF("i").cache()
 
-    val inMemoryScan = data.queryExecution.executedPlan.collect {
+    val inMemoryScan = collect(data.queryExecution.executedPlan) {
       case m: InMemoryTableScanExec => m
     }
 

From 252970bab65d80020bae5f86f35d29a75fe54804 Mon Sep 17 00:00:00 2001
From: mayurb <mayurb@uber.com>
Date: Tue, 26 Sep 2023 11:04:07 +0800
Subject: [PATCH 402/986] [SPARK-45182][CORE] Ignore task completion from old
 stage after retrying indeterminate stages
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
[SPARK-25342](https://issues.apache.org/jira/browse/SPARK-25342) Added a support for rolling back shuffle map stage so that all tasks of the stage can be retried when the stage output is indeterminate. This is done by clearing all map outputs at the time of stage submission. This approach workouts well except for this case:

Assume both Shuffle 1 and 2 are indeterminate

ShuffleMapStage1 ––> Shuffle 1 ---–> ShuffleMapStage2 ----> Shuffle 2 ----> ResultStage

- ShuffleMapStage1 is complete
- A task from ShuffleMapStage2 fails with FetchFailed. Other tasks are still running
- Both ShuffleMapStage1 and ShuffleMapStage2 are retried
- ShuffleMapStage1 is retried and completes
- ShuffleMapStage2 reattempt is scheduled for execution
- Before all tasks of ShuffleMapStage2 reattempt could finish, one/more laggard tasks from the original attempt of ShuffleMapStage2 finish and ShuffleMapStage2 also gets marked as complete
- Result Stage gets scheduled and finishes

After this change, such laggard tasks from the old attempt of the indeterminate stage will be ignored

### Why are the changes needed?
This can give wrong result when indeterminate stages needs to be retried under the circumstances mentioned above

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
A new test case

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42950 from mayurdb/rollbackFix.

Authored-by: mayurb <mayurb@uber.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7ffc0b71aa3e416a9b21e0975a169b2a8a8403a8)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/scheduler/DAGScheduler.scala |  29 +++--
 .../spark/scheduler/DAGSchedulerSuite.scala   | 104 ++++++++++++++++++
 2 files changed, 122 insertions(+), 11 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
index fc83439454dcf..d73bb6339015b 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
@@ -1903,19 +1903,26 @@ private[spark] class DAGScheduler(
 
           case smt: ShuffleMapTask =>
             val shuffleStage = stage.asInstanceOf[ShuffleMapStage]
-            shuffleStage.pendingPartitions -= task.partitionId
-            val status = event.result.asInstanceOf[MapStatus]
-            val execId = status.location.executorId
-            logDebug("ShuffleMapTask finished on " + execId)
-            if (executorFailureEpoch.contains(execId) &&
+            // Ignore task completion for old attempt of indeterminate stage
+            val ignoreIndeterminate = stage.isIndeterminate &&
+              task.stageAttemptId < stage.latestInfo.attemptNumber()
+            if (!ignoreIndeterminate) {
+              shuffleStage.pendingPartitions -= task.partitionId
+              val status = event.result.asInstanceOf[MapStatus]
+              val execId = status.location.executorId
+              logDebug("ShuffleMapTask finished on " + execId)
+              if (executorFailureEpoch.contains(execId) &&
                 smt.epoch <= executorFailureEpoch(execId)) {
-              logInfo(s"Ignoring possibly bogus $smt completion from executor $execId")
+                logInfo(s"Ignoring possibly bogus $smt completion from executor $execId")
+              } else {
+                // The epoch of the task is acceptable (i.e., the task was launched after the most
+                // recent failure we're aware of for the executor), so mark the task's output as
+                // available.
+                mapOutputTracker.registerMapOutput(
+                  shuffleStage.shuffleDep.shuffleId, smt.partitionId, status)
+              }
             } else {
-              // The epoch of the task is acceptable (i.e., the task was launched after the most
-              // recent failure we're aware of for the executor), so mark the task's output as
-              // available.
-              mapOutputTracker.registerMapOutput(
-                shuffleStage.shuffleDep.shuffleId, smt.partitionId, status)
+              logInfo(s"Ignoring $smt completion from an older attempt of indeterminate stage")
             }
 
             if (runningStages.contains(shuffleStage) && shuffleStage.pendingPartitions.isEmpty) {
diff --git a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
index c7e4994e328f4..e351f8b95bbb0 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
@@ -3041,6 +3041,27 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
     (shuffleId1, shuffleId2)
   }
 
+  private def constructTwoIndeterminateStage(): (Int, Int) = {
+    val shuffleMapRdd1 = new MyRDD(sc, 2, Nil, indeterminate = true)
+
+    val shuffleDep1 = new ShuffleDependency(shuffleMapRdd1, new HashPartitioner(2))
+    val shuffleId1 = shuffleDep1.shuffleId
+    val shuffleMapRdd2 = new MyRDD(sc, 2, List(shuffleDep1), tracker = mapOutputTracker,
+      indeterminate = true)
+
+    val shuffleDep2 = new ShuffleDependency(shuffleMapRdd2, new HashPartitioner(2))
+    val shuffleId2 = shuffleDep2.shuffleId
+    val finalRdd = new MyRDD(sc, 2, List(shuffleDep2), tracker = mapOutputTracker)
+
+    submit(finalRdd, Array(0, 1))
+
+    // Finish the first shuffle map stage.
+    completeShuffleMapStageSuccessfully(0, 0, 2)
+    assert(mapOutputTracker.findMissingPartitions(shuffleId1) === Some(Seq.empty))
+
+    (shuffleId1, shuffleId2)
+  }
+
   test("SPARK-25341: abort stage while using old fetch protocol") {
     conf.set(config.SHUFFLE_USE_OLD_FETCH_PROTOCOL.key, "true")
     // Construct the scenario of indeterminate stage fetch failed.
@@ -3099,6 +3120,89 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
     assertDataStructuresEmpty()
   }
 
+  test("SPARK-45182: Ignore task completion from old stage after retrying indeterminate stages") {
+    val (shuffleId1, shuffleId2) = constructTwoIndeterminateStage()
+
+    // shuffleMapStage0 -> shuffleId1 -> shuffleMapStage1 -> shuffleId2 -> resultStage
+    val shuffleMapStage1 = scheduler.stageIdToStage(1).asInstanceOf[ShuffleMapStage]
+    val resultStage = scheduler.stageIdToStage(2).asInstanceOf[ResultStage]
+
+    // Shuffle map stage 0 is done
+    assert(mapOutputTracker.findMissingPartitions(shuffleId1) == Some(Seq.empty))
+    // Shuffle map stage 1 is still waiting for its 2 tasks to complete
+    assert(mapOutputTracker.findMissingPartitions(shuffleId2) == Some(Seq(0, 1)))
+    // The result stage is still waiting for its 2 tasks to complete
+    assert(resultStage.findMissingPartitions() == Seq(0, 1))
+
+    scheduler.resubmitFailedStages()
+
+    // The first task of the shuffle map stage 1 fails with fetch failure
+    runEvent(makeCompletionEvent(
+      taskSets(1).tasks(0),
+      FetchFailed(makeBlockManagerId("hostA"), shuffleId1, 0L, 0, 0, "ignored"),
+      null))
+
+    // Both the stages should have been resubmitted
+    val newFailedStages = scheduler.failedStages.toSeq
+    assert(newFailedStages.map(_.id) == Seq(0, 1))
+
+    scheduler.resubmitFailedStages()
+
+    // Since shuffleId1 is indeterminate, all tasks of shuffle map stage 0 should be ran
+    assert(taskSets(2).stageId == 0)
+    assert(taskSets(2).stageAttemptId == 1)
+    assert(taskSets(2).tasks.length == 2)
+
+    // Complete the re-attempt of shuffle map stage 0
+    completeShuffleMapStageSuccessfully(0, 1, 2)
+    assert(mapOutputTracker.findMissingPartitions(shuffleId1) === Some(Seq.empty))
+
+    // Since shuffleId2 is indeterminate, all tasks of shuffle map stage 1 should be ran
+    assert(taskSets(3).stageId == 1)
+    assert(taskSets(3).stageAttemptId == 1)
+    assert(taskSets(3).tasks.length == 2)
+
+    // The first task of the shuffle map stage 1 from 2nd attempt succeeds
+    runEvent(makeCompletionEvent(
+      taskSets(3).tasks(0),
+      Success,
+      makeMapStatus("hostB",
+        2)))
+
+    // The second task of the  shuffle map stage 1 from 1st attempt succeeds
+    runEvent(makeCompletionEvent(
+      taskSets(1).tasks(1),
+      Success,
+      makeMapStatus("hostC",
+        2)))
+
+    // This task completion should get ignored and partition 1 should be missing
+    // for shuffle map stage 1
+    assert(mapOutputTracker.findMissingPartitions(shuffleId2) == Some(Seq(1)))
+
+    // The second task of the shuffle map stage 1 from 2nd attempt succeeds
+    runEvent(makeCompletionEvent(
+      taskSets(3).tasks(1),
+      Success,
+      makeMapStatus("hostD",
+        2)))
+
+    // The shuffle map stage 1 should be done
+    assert(mapOutputTracker.findMissingPartitions(shuffleId2) === Some(Seq.empty))
+
+    // The shuffle map outputs for shuffleId1 should be from latest attempt of shuffle map stage 1
+    assert(mapOutputTracker.getMapLocation(shuffleMapStage1.shuffleDep, 0, 2)
+      === Seq("hostB", "hostD"))
+
+    // Complete result stage
+    complete(taskSets(4), Seq((Success, 11), (Success, 12)))
+
+    // Job successfully ended
+    assert(results === Map(0 -> 11, 1 -> 12))
+    results.clear()
+    assertDataStructuresEmpty()
+  }
+
   test("SPARK-25341: continuous indeterminate stage roll back") {
     // shuffleMapRdd1/2/3 are all indeterminate.
     val shuffleMapRdd1 = new MyRDD(sc, 2, Nil, indeterminate = true)

From eb6b68daa4ef237d92575f799bafd97b1c3615b5 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Wed, 27 Sep 2023 16:00:11 +0800
Subject: [PATCH 403/986] [SPARK-45346][SQL] Parquet schema inference should
 respect case sensitive flag when merging schema

### What changes were proposed in this pull request?

Currently, when we infer schema from parquet files and try to merge the schema, it's always case-sensitive. Then a check fails later which tries to make sure the data schema of parquet fields does not have duplicated columns, in a case-insensitive way (the default).

This PR fixes the problem and make the schema merging respect the case sensitivity flag.

### Why are the changes needed?

bug fix

### Does this PR introduce _any_ user-facing change?

yes, spark can read some parquet files now.

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43134 from cloud-fan/merge-schema.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 1cbc424ae2acaf4d82f928cfea2767c81425305e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/types/StructType.scala   | 28 +++++++++++++------
 .../datasources/SchemaMergeUtils.scala        |  5 ++--
 .../parquet/ParquetSchemaSuite.scala          | 21 ++++++++++++++
 3 files changed, 43 insertions(+), 11 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
index 8edc7cf370b7d..8fd7f47b34624 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/StructType.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.types
 
+import java.util.Locale
+
 import scala.collection.{mutable, Map}
 import scala.util.Try
 import scala.util.control.NonFatal
@@ -476,8 +478,8 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
    * 4. Otherwise, `this` and `that` are considered as conflicting schemas and an exception would be
    *    thrown.
    */
-  private[sql] def merge(that: StructType): StructType =
-    StructType.merge(this, that).asInstanceOf[StructType]
+  private[sql] def merge(that: StructType, caseSensitive: Boolean = true): StructType =
+    StructType.merge(this, that, caseSensitive).asInstanceOf[StructType]
 
   override private[spark] def asNullable: StructType = {
     val newFields = fields.map {
@@ -561,16 +563,20 @@ object StructType extends AbstractDataType {
       StructType(newFields)
     })
 
-  private[sql] def merge(left: DataType, right: DataType): DataType =
+  private[sql] def merge(left: DataType, right: DataType, caseSensitive: Boolean = true): DataType =
     mergeInternal(left, right, (s1: StructType, s2: StructType) => {
       val leftFields = s1.fields
       val rightFields = s2.fields
       val newFields = mutable.ArrayBuffer.empty[StructField]
 
-      val rightMapped = fieldsMap(rightFields)
+      def normalize(name: String): String = {
+        if (caseSensitive) name else name.toLowerCase(Locale.ROOT)
+      }
+
+      val rightMapped = fieldsMap(rightFields, caseSensitive)
       leftFields.foreach {
         case leftField @ StructField(leftName, leftType, leftNullable, _) =>
-          rightMapped.get(leftName)
+          rightMapped.get(normalize(leftName))
             .map { case rightField @ StructField(rightName, rightType, rightNullable, _) =>
               try {
                 leftField.copy(
@@ -588,9 +594,9 @@ object StructType extends AbstractDataType {
             .foreach(newFields += _)
       }
 
-      val leftMapped = fieldsMap(leftFields)
+      val leftMapped = fieldsMap(leftFields, caseSensitive)
       rightFields
-        .filterNot(f => leftMapped.get(f.name).nonEmpty)
+        .filterNot(f => leftMapped.contains(normalize(f.name)))
         .foreach { f =>
           newFields += f
         }
@@ -643,11 +649,15 @@ object StructType extends AbstractDataType {
         throw DataTypeErrors.cannotMergeIncompatibleDataTypesError(left, right)
     }
 
-  private[sql] def fieldsMap(fields: Array[StructField]): Map[String, StructField] = {
+  private[sql] def fieldsMap(
+      fields: Array[StructField],
+      caseSensitive: Boolean = true): Map[String, StructField] = {
     // Mimics the optimization of breakOut, not present in Scala 2.13, while working in 2.12
     val map = mutable.Map[String, StructField]()
     map.sizeHint(fields.length)
-    fields.foreach(s => map.put(s.name, s))
+    fields.foreach { s =>
+      if (caseSensitive) map.put(s.name, s) else map.put(s.name.toLowerCase(Locale.ROOT), s)
+    }
     map
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaMergeUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaMergeUtils.scala
index 35d9b5d60348d..cf0e67ecc30fa 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaMergeUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaMergeUtils.scala
@@ -64,6 +64,7 @@ object SchemaMergeUtils extends Logging {
 
     val ignoreCorruptFiles =
       new FileSourceOptions(CaseInsensitiveMap(parameters)).ignoreCorruptFiles
+    val caseSensitive = sparkSession.sessionState.conf.caseSensitiveAnalysis
 
     // Issues a Spark job to read Parquet/ORC schema in parallel.
     val partiallyMergedSchemas =
@@ -84,7 +85,7 @@ object SchemaMergeUtils extends Logging {
             var mergedSchema = schemas.head
             schemas.tail.foreach { schema =>
               try {
-                mergedSchema = mergedSchema.merge(schema)
+                mergedSchema = mergedSchema.merge(schema, caseSensitive)
               } catch { case cause: SparkException =>
                 throw QueryExecutionErrors.failedMergingSchemaError(mergedSchema, schema, cause)
               }
@@ -99,7 +100,7 @@ object SchemaMergeUtils extends Logging {
       var finalSchema = partiallyMergedSchemas.head
       partiallyMergedSchemas.tail.foreach { schema =>
         try {
-          finalSchema = finalSchema.merge(schema)
+          finalSchema = finalSchema.merge(schema, caseSensitive)
         } catch { case cause: SparkException =>
           throw QueryExecutionErrors.failedMergingSchemaError(finalSchema, schema, cause)
         }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
index 30f46a3cac2d3..facc9b90ff778 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
@@ -996,6 +996,27 @@ class ParquetSchemaSuite extends ParquetSchemaTest {
     }
   }
 
+  test("SPARK-45346: merge schema should respect case sensitivity") {
+    import testImplicits._
+    Seq(true, false).foreach { caseSensitive =>
+      withSQLConf(SQLConf.CASE_SENSITIVE.key -> caseSensitive.toString) {
+        withTempPath { path =>
+          Seq(1).toDF("col").write.mode("append").parquet(path.getCanonicalPath)
+          Seq(2).toDF("COL").write.mode("append").parquet(path.getCanonicalPath)
+          val df = spark.read.option("mergeSchema", "true").parquet(path.getCanonicalPath)
+          if (caseSensitive) {
+            assert(df.columns.toSeq.sorted == Seq("COL", "col"))
+            assert(df.collect().length == 2)
+          } else {
+            // The final column name depends on which file is listed first, and is a bit random.
+            assert(df.columns.toSeq.map(_.toLowerCase(java.util.Locale.ROOT)) == Seq("col"))
+            assert(df.collect().length == 2)
+          }
+        }
+      }
+    }
+  }
+
   // =======================================
   // Tests for parquet schema mismatch error
   // =======================================

From e6e0c074636c1a43fa5957f906a881469515393a Mon Sep 17 00:00:00 2001
From: zeruibao <zerui.bao@databricks.com>
Date: Wed, 27 Sep 2023 16:42:35 +0800
Subject: [PATCH 404/986] [SPARK-43380][SQL] Fix Avro data type conversion
 issues without causing performance regression

### What changes were proposed in this pull request?
My last PR https://github.com/apache/spark/pull/41052 causes AVRO read performance regression since I change the code structure. I turn one match case into a nested match case. So I fix the Avro data type conversion issues in anther way to avoid this regression.

Original Change:
We introduce the SQLConf `spark.sql.legacy.avro.allowReadingWithIncompatibleSchema` to prevent reading interval types as date or timestamp types to avoid getting corrupt dates as well as reading decimal types with incorrect precision.

### Why are the changes needed?
We found the following issues with open source Avro:

- Interval types can be read as date or timestamp types that would lead to wildly different results
   For example, `Duration.ofDays(1).plusSeconds(1)` will be read as `1972-09-27`, which is weird.
- Decimal types can be read with lower precision, that leads to data being read as `null` instead of suggesting that a wider decimal format should be provided

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Old unit test

Closes #42503 from zeruibao/SPARK-4380-real-fix-regression.

Lead-authored-by: zeruibao <zerui.bao@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f8c87f03297e2770e2944e8e8fe097b75f9e8fea)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../main/resources/error/error-classes.json   |   5 +
 .../spark/sql/avro/AvroDeserializer.scala     |  46 ++++-
 .../org/apache/spark/sql/avro/AvroSuite.scala | 158 ++++++++++++++++++
 docs/sql-error-conditions.md                  |   6 +
 docs/sql-migration-guide.md                   |   1 +
 .../sql/errors/QueryCompilationErrors.scala   |  16 ++
 .../apache/spark/sql/internal/SQLConf.scala   |  12 ++
 7 files changed, 235 insertions(+), 9 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 477fe9b3f614e..9bc65ae32a276 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -69,6 +69,11 @@
       }
     }
   },
+  "AVRO_INCOMPATIBLE_READ_TYPE" : {
+    "message" : [
+      "Cannot convert Avro <avroPath> to SQL <sqlPath> because the original encoded data type is <avroType>, however you're trying to read the field as <sqlType>, which would lead to an incorrect answer. To allow reading this field, enable the SQL configuration: \"spark.sql.legacy.avro.allowIncompatibleSchema\"."
+    ]
+  },
   "BATCH_METADATA_NOT_FOUND" : {
     "message" : [
       "Unable to find batch <batchMetadataFile>."
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
index a78ee89a3e933..e82116eec1e9c 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
@@ -35,8 +35,9 @@ import org.apache.spark.sql.catalyst.expressions.{SpecificInternalRow, UnsafeArr
 import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, ArrayData, DateTimeUtils, GenericArrayData}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.MILLIS_PER_DAY
 import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
+import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.DataSourceUtils
-import org.apache.spark.sql.internal.LegacyBehaviorPolicy
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -117,6 +118,10 @@ private[sql] class AvroDeserializer(
     val incompatibleMsg = errorPrefix +
         s"schema is incompatible (avroType = $avroType, sqlType = ${catalystType.sql})"
 
+    val realDataType = SchemaConverters.toSqlType(avroType).dataType
+    val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA
+    val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
+
     (avroType.getType, catalystType) match {
       case (NULL, NullType) => (updater, ordinal, _) =>
         updater.setNullAt(ordinal)
@@ -128,9 +133,19 @@ private[sql] class AvroDeserializer(
       case (INT, IntegerType) => (updater, ordinal, value) =>
         updater.setInt(ordinal, value.asInstanceOf[Int])
 
+      case (INT, dt: DatetimeType)
+        if preventReadingIncorrectType && realDataType.isInstanceOf[YearMonthIntervalType] =>
+        throw QueryCompilationErrors.avroIncompatibleReadError(toFieldStr(avroPath),
+          toFieldStr(catalystPath), realDataType.catalogString, dt.catalogString)
+
       case (INT, DateType) => (updater, ordinal, value) =>
         updater.setInt(ordinal, dateRebaseFunc(value.asInstanceOf[Int]))
 
+      case (LONG, dt: DatetimeType)
+        if preventReadingIncorrectType && realDataType.isInstanceOf[DayTimeIntervalType] =>
+        throw QueryCompilationErrors.avroIncompatibleReadError(toFieldStr(avroPath),
+          toFieldStr(catalystPath), realDataType.catalogString, dt.catalogString)
+
       case (LONG, LongType) => (updater, ordinal, value) =>
         updater.setLong(ordinal, value.asInstanceOf[Long])
 
@@ -204,17 +219,30 @@ private[sql] class AvroDeserializer(
         }
         updater.set(ordinal, bytes)
 
-      case (FIXED, _: DecimalType) => (updater, ordinal, value) =>
+      case (FIXED, dt: DecimalType) =>
         val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
-        val bigDecimal = decimalConversions.fromFixed(value.asInstanceOf[GenericFixed], avroType, d)
-        val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
-        updater.setDecimal(ordinal, decimal)
+        if (preventReadingIncorrectType &&
+          d.getPrecision - d.getScale > dt.precision - dt.scale) {
+          throw QueryCompilationErrors.avroIncompatibleReadError(toFieldStr(avroPath),
+            toFieldStr(catalystPath), realDataType.catalogString, dt.catalogString)
+        }
+        (updater, ordinal, value) =>
+          val bigDecimal =
+            decimalConversions.fromFixed(value.asInstanceOf[GenericFixed], avroType, d)
+          val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
+          updater.setDecimal(ordinal, decimal)
 
-      case (BYTES, _: DecimalType) => (updater, ordinal, value) =>
+      case (BYTES, dt: DecimalType) =>
         val d = avroType.getLogicalType.asInstanceOf[LogicalTypes.Decimal]
-        val bigDecimal = decimalConversions.fromBytes(value.asInstanceOf[ByteBuffer], avroType, d)
-        val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
-        updater.setDecimal(ordinal, decimal)
+        if (preventReadingIncorrectType &&
+          d.getPrecision - d.getScale > dt.precision - dt.scale) {
+          throw QueryCompilationErrors.avroIncompatibleReadError(toFieldStr(avroPath),
+            toFieldStr(catalystPath), realDataType.catalogString, dt.catalogString)
+        }
+        (updater, ordinal, value) =>
+          val bigDecimal = decimalConversions.fromBytes(value.asInstanceOf[ByteBuffer], avroType, d)
+          val decimal = createDecimal(bigDecimal, d.getPrecision, d.getScale)
+          updater.setDecimal(ordinal, decimal)
 
       case (RECORD, st: StructType) =>
         // Avro datasource doesn't accept filters with nested attributes. See SPARK-32328.
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
index d22a2d3697579..ffb0a49641b59 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
@@ -32,6 +32,7 @@ import org.apache.avro.file.{DataFileReader, DataFileWriter}
 import org.apache.avro.generic.{GenericData, GenericDatumReader, GenericDatumWriter, GenericRecord}
 import org.apache.avro.generic.GenericData.{EnumSymbol, Fixed}
 import org.apache.commons.io.FileUtils
+import org.apache.commons.lang3.exception.ExceptionUtils
 
 import org.apache.spark.{SPARK_VERSION_SHORT, SparkConf, SparkException, SparkUpgradeException}
 import org.apache.spark.TestUtils.assertExceptionMsg
@@ -814,6 +815,163 @@ abstract class AvroSuite
     }
   }
 
+  test("SPARK-43380: Fix Avro data type conversion" +
+    " of decimal type to avoid producing incorrect results") {
+    withTempPath { path =>
+      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
+      sql("SELECT 13.1234567890 a").write.format("avro").save(path.toString)
+      // With the flag disabled, we will throw an exception if there is a mismatch
+      withSQLConf(confKey -> "false") {
+        val e = intercept[SparkException] {
+          spark.read.schema("a DECIMAL(4, 3)").format("avro").load(path.toString).collect()
+        }
+        ExceptionUtils.getRootCause(e) match {
+          case ex: AnalysisException =>
+            checkError(
+              exception = ex,
+              errorClass = "AVRO_INCOMPATIBLE_READ_TYPE",
+              parameters = Map("avroPath" -> "field 'a'",
+                "sqlPath" -> "field 'a'",
+                "avroType" -> "decimal\\(12,10\\)",
+                "sqlType" -> "\"DECIMAL\\(4,3\\)\""),
+              matchPVals = true
+            )
+          case other =>
+            fail(s"Received unexpected exception", other)
+        }
+      }
+      // The following used to work, so it should still work with the flag enabled
+      checkAnswer(
+        spark.read.schema("a DECIMAL(5, 3)").format("avro").load(path.toString),
+        Row(new java.math.BigDecimal("13.123"))
+      )
+      withSQLConf(confKey -> "true") {
+        // With the flag enabled, we return a null silently, which isn't great
+        checkAnswer(
+          spark.read.schema("a DECIMAL(4, 3)").format("avro").load(path.toString),
+          Row(null)
+        )
+        checkAnswer(
+          spark.read.schema("a DECIMAL(5, 3)").format("avro").load(path.toString),
+          Row(new java.math.BigDecimal("13.123"))
+        )
+      }
+    }
+  }
+
+  test("SPARK-43380: Fix Avro data type conversion" +
+    " of DayTimeIntervalType to avoid producing incorrect results") {
+    withTempPath { path =>
+      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
+      val schema = StructType(Array(StructField("a", DayTimeIntervalType(), false)))
+      val data = Seq(Row(java.time.Duration.ofDays(1).plusSeconds(1)))
+
+      val df = spark.createDataFrame(sparkContext.parallelize(data), schema)
+      df.write.format("avro").save(path.getCanonicalPath)
+
+      withSQLConf(confKey -> "false") {
+        Seq("DATE", "TIMESTAMP", "TIMESTAMP_NTZ").foreach { sqlType =>
+          val e = intercept[SparkException] {
+            spark.read.schema(s"a $sqlType").format("avro").load(path.toString).collect()
+          }
+
+          ExceptionUtils.getRootCause(e) match {
+            case ex: AnalysisException =>
+              checkError(
+                exception = ex,
+                errorClass = "AVRO_INCOMPATIBLE_READ_TYPE",
+                parameters = Map("avroPath" -> "field 'a'",
+                  "sqlPath" -> "field 'a'",
+                  "avroType" -> "interval day to second",
+                  "sqlType" -> s""""$sqlType""""),
+                matchPVals = true
+              )
+            case other =>
+              fail(s"Received unexpected exception", other)
+          }
+        }
+      }
+
+      withSQLConf(confKey -> "true") {
+        // Allow conversion and do not need to check result
+        spark.read.schema("a Date").format("avro").load(path.toString)
+        spark.read.schema("a timestamp").format("avro").load(path.toString)
+        spark.read.schema("a timestamp_ntz").format("avro").load(path.toString)
+      }
+    }
+  }
+
+  test("SPARK-43380: Fix Avro data type conversion" +
+    " of YearMonthIntervalType to avoid producing incorrect results") {
+    withTempPath { path =>
+      val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA.key
+      val schema = StructType(Array(StructField("a", YearMonthIntervalType(), false)))
+      val data = Seq(Row(java.time.Period.of(1, 1, 0)))
+
+      val df = spark.createDataFrame(sparkContext.parallelize(data), schema)
+      df.write.format("avro").save(path.getCanonicalPath)
+
+      withSQLConf(confKey -> "false") {
+        Seq("DATE", "TIMESTAMP", "TIMESTAMP_NTZ").foreach { sqlType =>
+          val e = intercept[SparkException] {
+            spark.read.schema(s"a $sqlType").format("avro").load(path.toString).collect()
+          }
+
+          ExceptionUtils.getRootCause(e) match {
+            case ex: AnalysisException =>
+              checkError(
+                exception = ex,
+                errorClass = "AVRO_INCOMPATIBLE_READ_TYPE",
+                parameters = Map("avroPath" -> "field 'a'",
+                  "sqlPath" -> "field 'a'",
+                  "avroType" -> "interval year to month",
+                  "sqlType" -> s""""$sqlType""""),
+                matchPVals = true
+              )
+            case other =>
+              fail(s"Received unexpected exception", other)
+          }
+        }
+      }
+
+      withSQLConf(confKey -> "true") {
+        // Allow conversion and do not need to check result
+        spark.read.schema("a Date").format("avro").load(path.toString)
+        spark.read.schema("a timestamp").format("avro").load(path.toString)
+        spark.read.schema("a timestamp_ntz").format("avro").load(path.toString)
+      }
+    }
+  }
+
+  Seq(
+    "time-millis",
+    "time-micros",
+    "timestamp-micros",
+    "timestamp-millis",
+    "local-timestamp-millis",
+    "local-timestamp-micros"
+  ).foreach { timeLogicalType =>
+    test(s"converting $timeLogicalType type to long in avro") {
+      withTempPath { path =>
+        val df = Seq(100L)
+          .toDF("dt")
+        val avroSchema =
+          s"""
+             |{
+             |  "type" : "record",
+             |  "name" : "test_schema",
+             |  "fields" : [
+             |    {"name": "dt", "type": {"type": "long", "logicalType": "$timeLogicalType"}}
+             |  ]
+             |}""".stripMargin
+        df.write.format("avro").option("avroSchema", avroSchema).save(path.getCanonicalPath)
+        checkAnswer(
+          spark.read.schema(s"dt long").format("avro").load(path.toString),
+          Row(100L))
+      }
+    }
+  }
+
   test("converting some specific sparkSQL types to avro") {
     withTempPath { tempDir =>
       val testSchema = StructType(Seq(
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index e7df1aa9a4f9c..90d21f9758573 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -87,6 +87,12 @@ Invalid as-of join.
 
 For more details see [AS_OF_JOIN](sql-error-conditions-as-of-join-error-class.html)
 
+### AVRO_INCOMPATIBLE_READ_TYPE
+
+SQLSTATE: none assigned
+
+Cannot convert Avro `<avroPath>` to SQL `<sqlPath>` because the original encoded data type is `<avroType>`, however you're trying to read the field as `<sqlType>`, which would lead to an incorrect answer. To allow reading this field, enable the SQL configuration: "spark.sql.legacy.avro.allowIncompatibleSchema".
+
 ### BATCH_METADATA_NOT_FOUND
 
 [SQLSTATE: 42K03](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 5fc323ec1b0ea..5cf0b28982c24 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -30,6 +30,7 @@ license: |
 - Since Spark 3.5, the `plan` field is moved from `AnalysisException` to `EnhancedAnalysisException`.
 - Since Spark 3.5, `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` is enabled by default. To restore the previous behavior, set `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` to `false`.
 - Since Spark 3.5, the `array_insert` function is 1-based for negative indexes. It inserts new element at the end of input arrays for the index -1. To restore the previous behavior, set `spark.sql.legacy.negativeIndexInArrayInsert` to `true`.
+- Since Spark 3.5, the Avro will throw `AnalysisException` when reading Interval types as Date or Timestamp types, or reading Decimal types with lower precision. To restore the legacy behavior, set `spark.sql.legacy.avro.allowIncompatibleSchema` to `true`
 
 ## Upgrading from Spark SQL 3.3 to 3.4
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 14882a7006173..9dca2c5f2822e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -3672,6 +3672,22 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
     )
   }
 
+  def avroIncompatibleReadError(
+      avroPath: String,
+      sqlPath: String,
+      avroType: String,
+      sqlType: String): Throwable = {
+    new AnalysisException(
+      errorClass = "AVRO_INCOMPATIBLE_READ_TYPE",
+      messageParameters = Map(
+        "avroPath" -> avroPath,
+        "sqlPath" -> sqlPath,
+        "avroType" -> avroType,
+        "sqlType" -> toSQLType(sqlType)
+      )
+    )
+  }
+
   def optionMustBeLiteralString(key: String): Throwable = {
     new AnalysisException(
       errorClass = "INVALID_SQL_SYNTAX.OPTION_IS_INVALID",
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 2e0ce7c4dea9d..73d3756ef6b93 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4251,6 +4251,18 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
+  val LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA =
+    buildConf("spark.sql.legacy.avro.allowIncompatibleSchema")
+      .internal()
+      .doc("When set to false, if types in Avro are encoded in the same format, but " +
+        "the type in the Avro schema explicitly says that the data types are different, " +
+        "reject reading the data type in the format to avoid returning incorrect results. " +
+        "When set to true, it restores the legacy behavior of allow reading the data in the" +
+        " format, which may return incorrect results.")
+      .version("3.5.1")
+      .booleanConf
+      .createWithDefault(false)
+
   val LEGACY_NON_IDENTIFIER_OUTPUT_CATALOG_NAME =
     buildConf("spark.sql.legacy.v1IdentifierNoCatalog")
       .internal()

From 917bc8cb92728267fb93891f4ef9da13c06e4589 Mon Sep 17 00:00:00 2001
From: Yihong He <yihong.he@databricks.com>
Date: Thu, 28 Sep 2023 12:58:07 -0400
Subject: [PATCH 405/986] [SPARK-45360][SQL][CONNECT] Initialize spark session
 builder configuration from SPARK_REMOTE

### What changes were proposed in this pull request?

- Initialize spark session builder configuration from SPARK_REMOTE

### Why are the changes needed?

- `SparkSession.builder().getOrCreate()` should follow the behavior documents [here](https://github.com/apache/spark/blob/2cc1ee4d3a05a641d7a245f015ef824d8f7bae8b/docs/spark-connect-overview.md?plain=1#L241-L244) and support initialization from SPARK_REMOTE

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

- `build/sbt "connect-client-jvm/testOnly *SparkConnectClientSuite"`

### Was this patch authored or co-authored using generative AI tooling?

Closes #43153 from heyihong/SPARK-45360.

Authored-by: Yihong He <yihong.he@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 183a3d761f36d35572cfb37ab921b6a86f8f28ed)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../org/apache/spark/sql/SparkSession.scala   |  5 +-
 .../client/SparkConnectClientSuite.scala      | 61 +++++++++++++++++++
 2 files changed, 65 insertions(+), 1 deletion(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 7bd8fa59aea8f..421f37b9e8a62 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -783,7 +783,10 @@ object SparkSession extends Logging {
   }
 
   class Builder() extends Logging {
-    private val builder = SparkConnectClient.builder()
+    // Initialize the connection string of the Spark Connect client builder from SPARK_REMOTE
+    // by default, if it exists. The connection string can be overridden using
+    // the remote() function, as it takes precedence over the SPARK_REMOTE environment variable.
+    private val builder = SparkConnectClient.builder().loadFromEnvironment()
     private var client: SparkConnectClient = _
     private[this] val options = new scala.collection.mutable.HashMap[String, String]
 
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
index 80e245ec78b7d..89acc2c60ac21 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/client/SparkConnectClientSuite.scala
@@ -86,6 +86,24 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
     assert(response.getSessionId === "abc123")
   }
 
+  private def withEnvs(pairs: (String, String)*)(f: => Unit): Unit = {
+    val readonlyEnv = System.getenv()
+    val field = readonlyEnv.getClass.getDeclaredField("m")
+    field.setAccessible(true)
+    val modifiableEnv = field.get(readonlyEnv).asInstanceOf[java.util.Map[String, String]]
+    try {
+      for ((k, v) <- pairs) {
+        assert(!modifiableEnv.containsKey(k))
+        modifiableEnv.put(k, v)
+      }
+      f
+    } finally {
+      for ((k, _) <- pairs) {
+        modifiableEnv.remove(k)
+      }
+    }
+  }
+
   test("Test connection") {
     testClientConnection() { testPort => SparkConnectClient.builder().port(testPort).build() }
   }
@@ -112,6 +130,49 @@ class SparkConnectClientSuite extends ConnectFunSuite with BeforeAndAfterEach {
     }
   }
 
+  test("SparkSession create with SPARK_REMOTE") {
+    startDummyServer(0)
+
+    withEnvs("SPARK_REMOTE" -> s"sc://localhost:${server.getPort}") {
+      val session = SparkSession.builder().create()
+      val df = session.range(10)
+      df.analyze // Trigger RPC
+      assert(df.plan === service.getAndClearLatestInputPlan())
+
+      val session2 = SparkSession.builder().create()
+      assert(session != session2)
+    }
+  }
+
+  test("SparkSession getOrCreate with SPARK_REMOTE") {
+    startDummyServer(0)
+
+    withEnvs("SPARK_REMOTE" -> s"sc://localhost:${server.getPort}") {
+      val session = SparkSession.builder().getOrCreate()
+
+      val df = session.range(10)
+      df.analyze // Trigger RPC
+      assert(df.plan === service.getAndClearLatestInputPlan())
+
+      val session2 = SparkSession.builder().getOrCreate()
+      assert(session === session2)
+    }
+  }
+
+  test("Builder.remote takes precedence over SPARK_REMOTE") {
+    startDummyServer(0)
+    val incorrectUrl = s"sc://localhost:${server.getPort + 1}"
+
+    withEnvs("SPARK_REMOTE" -> incorrectUrl) {
+      val session =
+        SparkSession.builder().remote(s"sc://localhost:${server.getPort}").getOrCreate()
+
+      val df = session.range(10)
+      df.analyze // Trigger RPC
+      assert(df.plan === service.getAndClearLatestInputPlan())
+    }
+  }
+
   test("SparkSession initialisation with connection string") {
     startDummyServer(0)
     client = SparkConnectClient

From 3a723a171b1b77a8a8b2ccce2bd489acb8db00a3 Mon Sep 17 00:00:00 2001
From: Hasnain Lakhani <hasnain.lakhani@databricks.com>
Date: Thu, 28 Sep 2023 18:16:49 -0500
Subject: [PATCH 406/986] [SPARK-44937][CORE] Mark connection as timedOut in
 TransportClient.close

### What changes were proposed in this pull request?

This PR avoids a race condition where a connection which is in the process of being closed could be returned by the TransportClientFactory only to be immediately closed and cause errors upon use.

This race condition is rare and not easily triggered, but with the upcoming changes to introduce SSL connection support, connection closing can take just a slight bit longer and it's much easier to trigger this issue.

Looking at the history of the code I believe this was an oversight in https://github.com/apache/spark/pull/9853.

### Why are the changes needed?

Without this change, some of the new tests added in https://github.com/apache/spark/pull/42685 would fail

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests were run in CI.
Without this change, some of the new tests added in https://github.com/apache/spark/pull/42685 fail

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43162 from hasnain-db/spark-tls-timeout.

Authored-by: Hasnain Lakhani <hasnain.lakhani@databricks.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 2a88feadd4b7cec9e01bc744e589783e3390e5ce)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
---
 .../org/apache/spark/network/client/TransportClient.java     | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/common/network-common/src/main/java/org/apache/spark/network/client/TransportClient.java b/common/network-common/src/main/java/org/apache/spark/network/client/TransportClient.java
index 4a0a156699852..40825e06b82fd 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/client/TransportClient.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/client/TransportClient.java
@@ -325,7 +325,10 @@ public TransportResponseHandler getHandler() {
 
   @Override
   public void close() {
-    // close is a local operation and should finish with milliseconds; timeout just to be safe
+    // Mark the connection as timed out, so we do not return a connection that's being closed
+    // from the TransportClientFactory if closing takes some time (e.g. with SSL)
+    this.timedOut = true;
+    // close should not take this long; use a timeout just to be safe
     channel.close().awaitUninterruptibly(10, TimeUnit.SECONDS);
   }
 

From aeba488ccd9213d28e6401d1bf7eadfdb9d955c3 Mon Sep 17 00:00:00 2001
From: Warren Zhu <warren.zhu25@gmail.com>
Date: Thu, 28 Sep 2023 18:51:33 -0500
Subject: [PATCH 407/986] [SPARK-45057][CORE] Avoid acquire read lock when
 keepReadLock is false

### What changes were proposed in this pull request?
Add `keepReadLock` parameter in `lockNewBlockForWriting()`. When `keepReadLock` is `false`, skip `lockForReading()` to avoid block on read Lock or potential deadlock issue.

When 2 tasks try to compute same rdd with replication level of 2 and running on only 2 executors. Deadlock will happen. Details refer [SPARK-45057]

Task thread hold write lock and waiting for replication to remote executor while shuffle server thread which handling block upload request waiting on `lockForReading` in [BlockInfoManager.scala](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/storage/BlockInfoManager.scala#L457C24-L457C24)

### Why are the changes needed?
This could save unnecessary read lock acquire and avoid deadlock issue mention above.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added UT in BlockInfoManagerSuite

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43067 from warrenzhu25/deadlock.

Authored-by: Warren Zhu <warren.zhu25@gmail.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 0d6fda5bbee99f9d1821952195efc6764816ec2f)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
---
 .../apache/spark/storage/BlockInfoManager.scala    | 11 +++++++----
 .../org/apache/spark/storage/BlockManager.scala    |  6 +-----
 .../spark/storage/BlockInfoManagerSuite.scala      | 14 ++++++++++++++
 3 files changed, 22 insertions(+), 9 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/BlockInfoManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockInfoManager.scala
index 45ebb6eafa69f..ab4073fe8c05c 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockInfoManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockInfoManager.scala
@@ -415,13 +415,14 @@ private[storage] class BlockInfoManager(trackingCacheVisibility: Boolean = false
    * then just go ahead and acquire the write lock. Otherwise, if another thread is already
    * writing the block, then we wait for the write to finish before acquiring the read lock.
    *
-   * @return true if the block did not already exist, false otherwise. If this returns false, then
-   *         a read lock on the existing block will be held. If this returns true, a write lock on
-   *         the new block will be held.
+   * @return true if the block did not already exist, false otherwise.
+   *         If this returns true, a write lock on the new block will be held.
+   *         If this returns false then a read lock will be held iff keepReadLock == true.
    */
   def lockNewBlockForWriting(
       blockId: BlockId,
-      newBlockInfo: BlockInfo): Boolean = {
+      newBlockInfo: BlockInfo,
+      keepReadLock: Boolean = true): Boolean = {
     logTrace(s"Task $currentTaskAttemptId trying to put $blockId")
     // Get the lock that will be associated with the to-be written block and lock it for the entire
     // duration of this operation. This way we prevent race conditions when two threads try to write
@@ -449,6 +450,8 @@ private[storage] class BlockInfoManager(trackingCacheVisibility: Boolean = false
           val result = lockForWriting(blockId, blocking = false)
           assert(result.isDefined)
           return true
+        } else if (!keepReadLock) {
+          return false
         } else {
           // Block already exists. This could happen if another thread races with us to compute
           // the same block. In this case we try to acquire a read lock, if the locking succeeds
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index 05d57c67576a5..6de6069d2fea5 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -1510,14 +1510,10 @@ private[spark] class BlockManager(
 
     val putBlockInfo = {
       val newInfo = new BlockInfo(level, classTag, tellMaster)
-      if (blockInfoManager.lockNewBlockForWriting(blockId, newInfo)) {
+      if (blockInfoManager.lockNewBlockForWriting(blockId, newInfo, keepReadLock)) {
         newInfo
       } else {
         logWarning(s"Block $blockId already exists on this machine; not re-adding it")
-        if (!keepReadLock) {
-          // lockNewBlockForWriting returned a read lock on the existing block, so we must free it:
-          releaseLock(blockId)
-        }
         return None
       }
     }
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockInfoManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockInfoManagerSuite.scala
index 3708f0aa67223..f133a38269d71 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockInfoManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockInfoManagerSuite.scala
@@ -166,6 +166,20 @@ class BlockInfoManagerSuite extends SparkFunSuite {
     assert(blockInfoManager.get("block").get.readerCount === 1)
   }
 
+  test("lockNewBlockForWriting should not block when keepReadLock is false") {
+    withTaskId(0) {
+      assert(blockInfoManager.lockNewBlockForWriting("block", newBlockInfo()))
+    }
+    val lock1Future = Future {
+      withTaskId(1) {
+        blockInfoManager.lockNewBlockForWriting("block", newBlockInfo(), false)
+      }
+    }
+
+    assert(!ThreadUtils.awaitResult(lock1Future, 1.seconds))
+    assert(blockInfoManager.get("block").get.readerCount === 0)
+  }
+
   test("read locks are reentrant") {
     withTaskId(1) {
       assert(blockInfoManager.lockNewBlockForWriting("block", newBlockInfo()))

From 5cdb4ab6f0b7aea7d890ee7dff61350671a09e79 Mon Sep 17 00:00:00 2001
From: Bo Xiong <xiongbo@amazon.com>
Date: Thu, 28 Sep 2023 22:53:37 -0500
Subject: [PATCH 408/986] [SPARK-45227][CORE] Fix a subtle thread-safety issue
 with CoarseGrainedExecutorBackend

### What changes were proposed in this pull request?
Fix a subtle thread-safety issue with CoarseGrainedExecutorBackend where an executor process randomly gets stuck

### Why are the changes needed?
For each executor, the single-threaded dispatcher can run into an "infinite loop" (as explained in the SPARK-45227). Once an executor process runs into a state, it'd stop launching tasks from the driver or reporting task status back.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
```
$ build/mvn package -DskipTests -pl core
$ build/mvn -Dtest=none -DwildcardSuites=org.apache.spark.executor.CoarseGrainedExecutorBackendSuite test
```

### Was this patch authored or co-authored using generative AI tooling?
No

******************************************************************************
**_Please feel free to skip reading unless you're interested in details_**
******************************************************************************

### Symptom

Our Spark 3 app running on EMR 6.10.0 with Spark 3.3.1 got stuck in the very last step of writing a data frame to S3 by calling `df.write`. Looking at Spark UI, we saw that an executor process hung over 1 hour. After we manually killed the executor process, the app succeeded. Note that the same EMR cluster with two worker nodes was able to run the same app without any issue before and after the incident.

Below is what's observed from relevant container logs and thread dump.

- A regular task that's sent to the executor, which also reported back to the driver upon the task completion.

```
    $zgrep 'task 150' container_1694029806204_12865_01_000001/stderr.gz
    23/09/12 18:13:55 INFO TaskSetManager: Starting task 150.0 in stage 23.0 (TID 923) (ip-10-0-185-107.ec2.internal, executor 3, partition 150, NODE_LOCAL, 4432 bytes) taskResourceAssignments Map()
    23/09/12 18:13:55 INFO TaskSetManager: Finished task 150.0 in stage 23.0 (TID 923) in 126 ms on ip-10-0-185-107.ec2.internal (executor 3) (16/200)

    $zgrep ' 923' container_1694029806204_12865_01_000004/stderr.gz
    23/09/12 18:13:55 INFO YarnCoarseGrainedExecutorBackend: Got assigned task 923

    $zgrep 'task 150' container_1694029806204_12865_01_000004/stderr.gz
    23/09/12 18:13:55 INFO Executor: Running task 150.0 in stage 23.0 (TID 923)
    23/09/12 18:13:55 INFO Executor: Finished task 150.0 in stage 23.0 (TID 923). 4495 bytes result sent to driver
```

- Another task that's sent to the executor but didn't get launched since the single-threaded dispatcher was stuck (presumably in an "infinite loop" as explained later).

```
    $zgrep 'task 153' container_1694029806204_12865_01_000001/stderr.gz
    23/09/12 18:13:55 INFO TaskSetManager: Starting task 153.0 in stage 23.0 (TID 924) (ip-10-0-185-107.ec2.internal, executor 3, partition 153, NODE_LOCAL, 4432 bytes) taskResourceAssignments Map()

    $zgrep ' 924' container_1694029806204_12865_01_000004/stderr.gz
    23/09/12 18:13:55 INFO YarnCoarseGrainedExecutorBackend: Got assigned task 924

    $zgrep 'task 153' container_1694029806204_12865_01_000004/stderr.gz
    >> note that the above command has no matching result, indicating that task 153.0 in stage 23.0 (TID 924) was never launched
```

- Thread dump shows that the dispatcher-Executor thread has the following stack trace.

```
    "dispatcher-Executor" #40 daemon prio=5 os_prio=0 tid=0x0000ffff98e37800 nid=0x1aff runnable [0x0000ffff73bba000]
    java.lang.Thread.State: RUNNABLE
    at scala.runtime.BoxesRunTime.equalsNumObject(BoxesRunTime.java:142)
    at scala.runtime.BoxesRunTime.equals2(BoxesRunTime.java:131)
    at scala.runtime.BoxesRunTime.equals(BoxesRunTime.java:123)
    at scala.collection.mutable.HashTable.elemEquals(HashTable.scala:365)
    at scala.collection.mutable.HashTable.elemEquals$(HashTable.scala:365)
    at scala.collection.mutable.HashMap.elemEquals(HashMap.scala:44)
    at scala.collection.mutable.HashTable.findEntry0(HashTable.scala:140)
    at scala.collection.mutable.HashTable.findOrAddEntry(HashTable.scala:169)
    at scala.collection.mutable.HashTable.findOrAddEntry$(HashTable.scala:167)
    at scala.collection.mutable.HashMap.findOrAddEntry(HashMap.scala:44)
    at scala.collection.mutable.HashMap.put(HashMap.scala:126)
    at scala.collection.mutable.HashMap.update(HashMap.scala:131)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$receive$1.applyOrElse(CoarseGrainedExecutorBackend.scala:200)
    at org.apache.spark.rpc.netty.Inbox.$anonfun$process$1(Inbox.scala:115)
    at org.apache.spark.rpc.netty.Inbox$$Lambda$323/1930826709.apply$mcV$sp(Unknown Source)
    at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:213)
    at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:100)
    at org.apache.spark.rpc.netty.MessageLoop.org$apache$spark$rpc$netty$MessageLoop$$receiveLoop(MessageLoop.scala:75)
    at org.apache.spark.rpc.netty.MessageLoop$$anon$1.run(MessageLoop.scala:41)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)
```

### Relevant code paths

Within an executor process, there's a [dispatcher thread](https://github.com/apache/spark/blob/1fdd46f173f7bc90e0523eb0a2d5e8e27e990102/core/src/main/scala/org/apache/spark/rpc/netty/MessageLoop.scala#L170) dedicated to CoarseGrainedExecutorBackend(a single RPC endpoint) that launches tasks scheduled by the driver. Each task is run on a TaskRunner thread backed by a thread pool created for the executor. The TaskRunner thread and the dispatcher thread are different. However, they read and write a common object (i.e., taskResources) that's a mutable hashmap without thread-safety, in [Executor](https://github.com/apache/spark/blob/1fdd46f173f7bc90e0523eb0a2d5e8e27e990102/core/src/main/scala/org/apache/spark/executor/Executor.scala#L561) and [CoarseGrainedExecutorBackend](https://github.com/apache/spark/blob/1fdd46f173f7bc90e0523eb0a2d5e8e27e990102/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala#L189), respectively.

### What's going on?

Based on the above observations, our hypothesis is that the dispatcher thread runs into an "infinite loop" due to a race condition when two threads access the same hashmap object.  For illustration purpose, let's consider the following scenario where two threads (Thread 1 and Thread 2) access a hash table without thread-safety

- Thread 1 sees A.next = B, but then yields execution to Thread 2
<img src="https://issues.apache.org/jira/secure/attachment/13063040/13063040_hashtable1.png" width="400">

- Thread 2 triggers a resize operation resulting in B.next = A (Note that hashmap doesn't care about ordering), and then yields execution to Thread 1.
<img src="https://issues.apache.org/jira/secure/attachment/13063041/13063041_hashtable2.png" width="400">

- After taking over CPU, Thread 1 would run into an "infinite loop" when traversing the list in the last bucket, given A.next = B and B.next = A in its view.

Closes #43021 from xiongbo-sjtu/master.

Authored-by: Bo Xiong <xiongbo@amazon.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 8e6b1603a66706ee27a0b16d850f5ee56d633354)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
---
 .../spark/executor/CoarseGrainedExecutorBackend.scala | 11 +++++++----
 .../executor/CoarseGrainedExecutorBackendSuite.scala  |  6 +++---
 2 files changed, 10 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
index ab238626efe9b..c695a9ec2851b 100644
--- a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
@@ -20,9 +20,9 @@ package org.apache.spark.executor
 import java.net.URL
 import java.nio.ByteBuffer
 import java.util.Locale
+import java.util.concurrent.ConcurrentHashMap
 import java.util.concurrent.atomic.AtomicBoolean
 
-import scala.collection.mutable
 import scala.util.{Failure, Success}
 import scala.util.control.NonFatal
 
@@ -71,9 +71,12 @@ private[spark] class CoarseGrainedExecutorBackend(
   /**
    * Map each taskId to the information about the resource allocated to it, Please refer to
    * [[ResourceInformation]] for specifics.
+   * CHM is used to ensure thread-safety (https://issues.apache.org/jira/browse/SPARK-45227)
    * Exposed for testing only.
    */
-  private[executor] val taskResources = new mutable.HashMap[Long, Map[String, ResourceInformation]]
+  private[executor] val taskResources = new ConcurrentHashMap[
+    Long, Map[String, ResourceInformation]
+  ]
 
   private var decommissioned = false
 
@@ -184,7 +187,7 @@ private[spark] class CoarseGrainedExecutorBackend(
       } else {
         val taskDesc = TaskDescription.decode(data.value)
         logInfo("Got assigned task " + taskDesc.taskId)
-        taskResources(taskDesc.taskId) = taskDesc.resources
+        taskResources.put(taskDesc.taskId, taskDesc.resources)
         executor.launchTask(this, taskDesc)
       }
 
@@ -261,7 +264,7 @@ private[spark] class CoarseGrainedExecutorBackend(
   }
 
   override def statusUpdate(taskId: Long, state: TaskState, data: ByteBuffer): Unit = {
-    val resources = taskResources.getOrElse(taskId, Map.empty[String, ResourceInformation])
+    val resources = taskResources.getOrDefault(taskId, Map.empty[String, ResourceInformation])
     val cpus = executor.runningTasks.get(taskId).taskDescription.cpus
     val msg = StatusUpdate(executorId, taskId, state, data, cpus, resources)
     if (TaskState.isFinished(state)) {
diff --git a/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala b/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
index 0dcc7c7f9b4cf..909d605442575 100644
--- a/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
+++ b/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
@@ -302,7 +302,7 @@ class CoarseGrainedExecutorBackendSuite extends SparkFunSuite
           resourceProfile = ResourceProfile.getOrCreateDefaultProfile(conf))
       assert(backend.taskResources.isEmpty)
 
-      val taskId = 1000000
+      val taskId = 1000000L
       // We don't really verify the data, just pass it around.
       val data = ByteBuffer.wrap(Array[Byte](1, 2, 3, 4))
       val taskDescription = new TaskDescription(taskId, 2, "1", "TASK 1000000", 19,
@@ -339,14 +339,14 @@ class CoarseGrainedExecutorBackendSuite extends SparkFunSuite
       backend.self.send(LaunchTask(new SerializableBuffer(serializedTaskDescription)))
       eventually(timeout(10.seconds)) {
         assert(backend.taskResources.size == 1)
-        val resources = backend.taskResources(taskId)
+        val resources = backend.taskResources.get(taskId)
         assert(resources(GPU).addresses sameElements Array("0", "1"))
       }
 
       // Update the status of a running task shall not affect `taskResources` map.
       backend.statusUpdate(taskId, TaskState.RUNNING, data)
       assert(backend.taskResources.size == 1)
-      val resources = backend.taskResources(taskId)
+      val resources = backend.taskResources.get(taskId)
       assert(resources(GPU).addresses sameElements Array("0", "1"))
 
       // Update the status of a finished task shall remove the entry from `taskResources` map.

From 845e4f6c5bcf3a368ee78757f3a74b390cdce5c0 Mon Sep 17 00:00:00 2001
From: Peter Kaszt <kasztp@gmail.com>
Date: Mon, 2 Oct 2023 07:48:56 -0500
Subject: [PATCH 409/986] [MINOR][DOCS] Fix Python code sample for
 StreamingQueryListener: Reporting Metrics programmatically using Asynchronous
 APIs

Fix Python language code sample in the docs for _StreamingQueryListener_:
Reporting Metrics programmatically using Asynchronous APIs section.

### What changes were proposed in this pull request?
The code sample in the [Reporting Metrics programmatically using Asynchronous APIs](https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#reporting-metrics-programmatically-using-asynchronous-apis) section was this:
```
spark = ...

class Listener(StreamingQueryListener):
    def onQueryStarted(self, event):
        print("Query started: " + queryStarted.id)

    def onQueryProgress(self, event):
        println("Query terminated: " + queryTerminated.id)

    def onQueryTerminated(self, event):
        println("Query made progress: " + queryProgress.progress)

spark.streams.addListener(Listener())
```

Which is not a proper Python code, and has QueryProgress and QueryTerminated prints mixed. Proposed change/fix:
```
spark = ...

class Listener(StreamingQueryListener):
    def onQueryStarted(self, event):
        print("Query started: " + queryStarted.id)

    def onQueryProgress(self, event):
        print("Query made progress: " + queryProgress.progress)

    def onQueryTerminated(self, event):
        print("Query terminated: " + queryTerminated.id)

spark.streams.addListener(Listener())
```

### Why are the changes needed?
To fix docimentation errors.

### Does this PR introduce _any_ user-facing change?
Yes. -> Sample python code snippet is fixed in docs (see above).

### How was this patch tested?
Checked with github's .md preview, and built the docs according to the readme.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43190 from kasztp/master.

Authored-by: Peter Kaszt <kasztp@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit d708fd7b68bf0c9964e861cb2c81818d17d7136e)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 docs/structured-streaming-programming-guide.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index 76a22621a0e32..3e87c45a34915 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -3831,10 +3831,10 @@ class Listener(StreamingQueryListener):
         print("Query started: " + queryStarted.id)
 
     def onQueryProgress(self, event):
-        println("Query terminated: " + queryTerminated.id)
+        print("Query made progress: " + queryProgress.progress)
 
     def onQueryTerminated(self, event):
-        println("Query made progress: " + queryProgress.progress)
+    	print("Query terminated: " + queryTerminated.id)
 
 
 spark.streams.addListener(Listener())

From c5203abcbd191423071ef3603e95a7941bb1eec2 Mon Sep 17 00:00:00 2001
From: Herman van Hovell <herman@databricks.com>
Date: Mon, 2 Oct 2023 13:03:06 -0400
Subject: [PATCH 410/986] [SPARK-45371][CONNECT] Fix shading issues in the
 Spark Connect Scala Client

### What changes were proposed in this pull request?
This PR fixes shading for the Spark Connect Scala Client maven build. The following things are addressed:
- Guava and protobuf are included in the shaded jars. These were missing, and were causing users to see `ClassNotFoundException`s.
- Fixed duplicate shading of guava. We use the parent pom's location now.
- Fixed duplicate Netty dependency (shaded and transitive). One was used for GRPC and the other was needed by Arrow. This was fixed by pulling arrow into the shaded jar.
- Use the same package as the shading defined in the parent package.

### Why are the changes needed?
The maven artifacts for the Spark Connect Scala Client are currently broken.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manual tests.
#### Step 1:  Build new shaded library and install it in local maven repository
`build/mvn clean install -pl connector/connect/client/jvm -am -DskipTests`
#### Step 2: Start Connect Server
`connector/connect/bin/spark-connect`
#### Step 3: Launch REPL using the newly created library
This step requires [coursier](https://get-coursier.io/) to be installed.
`cs launch --jvm zulu:17.0.8 --scala 2.13.9 -r m2Local com.lihaoyi:::ammonite:2.5.11 org.apache.spark::spark-connect-client-jvm:4.0.0-SNAPSHOT --java-opt --add-opens=java.base/java.nio=ALL-UNNAMED -M org.apache.spark.sql.application.ConnectRepl`
#### Step 4: Run a bunch of commands:
```scala
// Check version
spark.version

// Run a simple query
{
  spark.range(1, 10000, 1)
    .select($"id", $"id" % 5 as "group", rand(1).as("v1"), rand(2).as("v2"))
    .groupBy($"group")
    .agg(
      avg($"v1").as("v1_avg"),
      avg($"v2").as("v2_avg"))
    .show()
}

// Run a streaming query
{
  import org.apache.spark.sql.execution.streaming.ProcessingTimeTrigger
  val query_name = "simple_streaming"
  val stream = spark.readStream
    .format("rate")
    .option("numPartitions", "1")
    .option("rowsPerSecond", "10")
    .load()
    .withWatermark("timestamp", "10 milliseconds")
    .groupBy(window(col("timestamp"), "10 milliseconds"))
    .count()
    .selectExpr("window.start as timestamp", "count as num_events")
    .writeStream
    .format("memory")
    .queryName(query_name)
    .trigger(ProcessingTimeTrigger.create("10 milliseconds"))
  // run for 20 seconds
  val query = stream.start()
  val start = System.currentTimeMillis()
  val end = System.currentTimeMillis() + 20 * 1000
  while (System.currentTimeMillis() < end) {
    println(s"time: ${System.currentTimeMillis() - start} ms")
    println(query.status)
    spark.sql(s"select * from ${query_name}").show()
    Thread.sleep(500)
  }
  query.stop()
}
```

Closes #43195 from hvanhovell/SPARK-45371.

Authored-by: Herman van Hovell <herman@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit e53abbbceaa2c41babaa23fe4c2f282f559b4c03)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 connector/connect/client/jvm/pom.xml | 39 +++++++++++++++++++++-------
 1 file changed, 30 insertions(+), 9 deletions(-)

diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 67227ef38eb8f..236e5850b762f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -50,10 +50,20 @@
       <artifactId>spark-sketch_${scala.binary.version}</artifactId>
       <version>${project.version}</version>
     </dependency>
+    <!--
+      We need to define guava and protobuf here because we need to change the scope of both from
+      provided to compile. If we don't do this we can't shade these libraries.
+    -->
     <dependency>
       <groupId>com.google.guava</groupId>
       <artifactId>guava</artifactId>
       <version>${connect.guava.version}</version>
+      <scope>compile</scope>
+    </dependency>
+    <dependency>
+      <groupId>com.google.protobuf</groupId>
+      <artifactId>protobuf-java</artifactId>
+      <scope>compile</scope>
     </dependency>
     <dependency>
       <groupId>com.lihaoyi</groupId>
@@ -85,6 +95,7 @@
         <artifactId>maven-shade-plugin</artifactId>
         <configuration>
           <shadedArtifactAttached>false</shadedArtifactAttached>
+          <promoteTransitiveDependencies>true</promoteTransitiveDependencies>
           <artifactSet>
             <includes>
               <include>com.google.android:*</include>
@@ -92,52 +103,62 @@
               <include>com.google.code.findbugs:*</include>
               <include>com.google.code.gson:*</include>
               <include>com.google.errorprone:*</include>
-              <include>com.google.guava:*</include>
               <include>com.google.j2objc:*</include>
               <include>com.google.protobuf:*</include>
+              <include>com.google.flatbuffers:*</include>
               <include>io.grpc:*</include>
               <include>io.netty:*</include>
               <include>io.perfmark:*</include>
+              <include>org.apache.arrow:*</include>
               <include>org.codehaus.mojo:*</include>
               <include>org.checkerframework:*</include>
               <include>org.apache.spark:spark-connect-common_${scala.binary.version}</include>
+              <include>org.apache.spark:spark-sql-api_${scala.binary.version}</include>
             </includes>
           </artifactSet>
           <relocations>
             <relocation>
               <pattern>io.grpc</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.io.grpc</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.io.grpc</shadedPattern>
               <includes>
                 <include>io.grpc.**</include>
               </includes>
             </relocation>
             <relocation>
               <pattern>com.google</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.com.google</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.com.google</shadedPattern>
+              <excludes>
+                <!-- Guava is relocated to ${spark.shade.packageName}.guava (see the parent pom.xml) -->
+                <exclude>com.google.common.**</exclude>
+              </excludes>
             </relocation>
             <relocation>
               <pattern>io.netty</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.io.netty</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.io.netty</shadedPattern>
             </relocation>
             <relocation>
               <pattern>org.checkerframework</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.org.checkerframework</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.org.checkerframework</shadedPattern>
             </relocation>
             <relocation>
               <pattern>javax.annotation</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.javax.annotation</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.javax.annotation</shadedPattern>
             </relocation>
             <relocation>
               <pattern>io.perfmark</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.io.perfmark</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.io.perfmark</shadedPattern>
             </relocation>
             <relocation>
               <pattern>org.codehaus</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.org.codehaus</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.org.codehaus</shadedPattern>
+            </relocation>
+            <relocation>
+              <pattern>org.apache.arrow</pattern>
+              <shadedPattern>${spark.shade.packageName}.org.apache.arrow</shadedPattern>
             </relocation>
             <relocation>
               <pattern>android.annotation</pattern>
-              <shadedPattern>${spark.shade.packageName}.connect.client.android.annotation</shadedPattern>
+              <shadedPattern>${spark.shade.packageName}.android.annotation</shadedPattern>
             </relocation>
           </relocations>
           <!--SPARK-42228: Add `ServicesResourceTransformer` to relocation class names in META-INF/services for grpc-->

From 522af69713502d33d34b330bce6166e3d15dba8a Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 5 Oct 2023 09:39:36 +0900
Subject: [PATCH 411/986] Revert "[SPARK-45167][CONNECT][PYTHON][FOLLOW-UP] Use
 lighter threading Rlock, and use the existing eventually util function"

This reverts commit 2a9dd2b3968da7c2e96c502aaf4c158ee782e5f4.
---
 python/pyspark/sql/connect/client/reattach.py |  5 ++--
 .../sql/tests/connect/client/test_client.py   | 23 +++++++++++++++----
 2 files changed, 21 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index 6addb5bd2c652..e58864b965bd9 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -18,11 +18,12 @@
 
 check_dependencies(__name__)
 
-from threading import RLock
 import warnings
 import uuid
 from collections.abc import Generator
 from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast, Type, ClassVar
+from multiprocessing import RLock
+from multiprocessing.synchronize import RLock as RLockBase
 from multiprocessing.pool import ThreadPool
 import os
 
@@ -55,7 +56,7 @@ class ExecutePlanResponseReattachableIterator(Generator):
     """
 
     # Lock to manage the pool
-    _lock: ClassVar[RLock] = RLock()
+    _lock: ClassVar[RLockBase] = RLock()
     _release_thread_pool: Optional[ThreadPool] = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
 
     @classmethod
diff --git a/python/pyspark/sql/tests/connect/client/test_client.py b/python/pyspark/sql/tests/connect/client/test_client.py
index 93b7006799b30..cf43fb16df7a7 100644
--- a/python/pyspark/sql/tests/connect/client/test_client.py
+++ b/python/pyspark/sql/tests/connect/client/test_client.py
@@ -25,7 +25,6 @@
 from pyspark.sql.connect.client import SparkConnectClient, ChannelBuilder
 import pyspark.sql.connect.proto as proto
 from pyspark.testing.connectutils import should_test_connect, connect_requirement_message
-from pyspark.testing.utils import eventually
 
 from pyspark.sql.connect.client.core import Retrying
 from pyspark.sql.connect.client.reattach import (
@@ -153,6 +152,20 @@ def _stub_with(self, execute=None, attach=None):
             attach_ops=ResponseGenerator(attach) if attach is not None else None,
         )
 
+    def assertEventually(self, callable, timeout_ms=1000):
+        """Helper method that will continuously evaluate the callable to not raise an
+        exception."""
+        import time
+
+        limit = time.monotonic_ns() + timeout_ms * 1000 * 1000
+        while time.monotonic_ns() < limit:
+            try:
+                callable()
+                break
+            except Exception:
+                time.sleep(0.1)
+        callable()
+
     def test_basic_flow(self):
         stub = self._stub_with([self.response, self.finished])
         ite = ExecutePlanResponseReattachableIterator(self.request, stub, self.policy, [])
@@ -165,7 +178,7 @@ def check_all():
             self.assertEqual(1, stub.release_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        eventually(timeout=1, catch_assertions=True)(check_all)()
+        self.assertEventually(check_all, timeout_ms=1000)
 
     def test_fail_during_execute(self):
         def fatal():
@@ -183,7 +196,7 @@ def check():
             self.assertEqual(1, stub.release_until_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        eventually(timeout=1, catch_assertions=True)(check)()
+        self.assertEventually(check, timeout_ms=1000)
 
     def test_fail_and_retry_during_execute(self):
         def non_fatal():
@@ -202,7 +215,7 @@ def check():
             self.assertEqual(3, stub.release_until_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        eventually(timeout=1, catch_assertions=True)(check)()
+        self.assertEventually(check, timeout_ms=1000)
 
     def test_fail_and_retry_during_reattach(self):
         count = 0
@@ -228,7 +241,7 @@ def check():
             self.assertEqual(1, stub.release_calls)
             self.assertEqual(1, stub.execute_calls)
 
-        eventually(timeout=1, catch_assertions=True)(check)()
+        self.assertEventually(check, timeout_ms=1000)
 
 
 class TestException(grpc.RpcError, grpc.Call):

From 6468f96ea42f6efe42033507c4e26600b751bfcc Mon Sep 17 00:00:00 2001
From: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Date: Thu, 5 Oct 2023 09:41:08 +0900
Subject: [PATCH 412/986] [SPARK-45386][SQL][3.5] Fix correctness issue with
 persist using StorageLevel.NONE on Dataset

### What changes were proposed in this pull request?
Support for InMememoryTableScanExec in AQE was added in #39624, but this patch contained a bug when a Dataset is persisted using `StorageLevel.NONE`. Before that patch a query like:
```
import org.apache.spark.storage.StorageLevel
spark.createDataset(Seq(1, 2)).persist(StorageLevel.NONE).count()
```
would correctly return 2. But after that patch it incorrectly returns 0. This is because AQE incorrectly determines based on the runtime statistics that are collected here:
https://github.com/apache/spark/blob/eac5a8c7e6da94bb27e926fc9a681aed6582f7d3/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala#L294
that the input is empty. The problem is that the action that should make sure the statistics are collected here
https://github.com/apache/spark/blob/eac5a8c7e6da94bb27e926fc9a681aed6582f7d3/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala#L285-L291
never use the iterator and when we have `StorageLevel.NONE` the persisting will also not use the iterator and we will not gather the correct statistics.

The proposed fix in the patch just make calling persist with StorageLevel.NONE a no-op. Changing the action since it always "emptied" the iterator would also work but seems like that would be unnecessary work in a lot of normal circumstances.

### Why are the changes needed?
The current code has a correctness issue.

### Does this PR introduce _any_ user-facing change?
Yes, fixes the correctness issue.

### How was this patch tested?
New and existing unit tests.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43213 from eejbyfeldt/SPARK-45386-branch-3.5.

Authored-by: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../scala/org/apache/spark/sql/execution/CacheManager.scala | 4 +++-
 .../src/test/scala/org/apache/spark/sql/DatasetSuite.scala  | 6 ++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
index 064819275e004..e906c74f8a5ee 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
@@ -113,7 +113,9 @@ class CacheManager extends Logging with AdaptiveSparkPlanHelper {
       planToCache: LogicalPlan,
       tableName: Option[String],
       storageLevel: StorageLevel): Unit = {
-    if (lookupCachedData(planToCache).nonEmpty) {
+    if (storageLevel == StorageLevel.NONE) {
+      // Do nothing for StorageLevel.NONE since it will not actually cache any data.
+    } else if (lookupCachedData(planToCache).nonEmpty) {
       logWarning("Asked to cache already cached data.")
     } else {
       val sessionWithConfigsOff = getOrCloneSessionWithConfigsOff(spark)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index c967540541a5c..6d9c43f866a0c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -45,6 +45,7 @@ import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
+import org.apache.spark.storage.StorageLevel
 
 case class TestDataPoint(x: Int, y: Double, s: String, t: TestDataPoint2)
 case class TestDataPoint2(x: Int, s: String)
@@ -2535,6 +2536,11 @@ class DatasetSuite extends QueryTest
 
     checkDataset(ds.filter(f(col("_1"))), Tuple1(ValueClass(2)))
   }
+
+  test("SPARK-45386: persist with StorageLevel.NONE should give correct count") {
+    val ds = Seq(1, 2).toDS().persist(StorageLevel.NONE)
+    assert(ds.count() == 2)
+  }
 }
 
 class DatasetLargeResultCollectingSuite extends QueryTest

From d60a40e5d30e565536e0833fc650dc581439ee89 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 5 Oct 2023 13:00:02 +0900
Subject: [PATCH 413/986] [SPARK-45167][CONNECT][PYTHON][FOLLOW-UP][3.5] Use
 lighter threading Rlock

### What changes were proposed in this pull request?

This PR reverts the revert: https://github.com/apache/spark/commit/522af69713502d33d34b330bce6166e3d15dba8a. It only partially ports the real change within main code. It excludes the testing side which depends on https://github.com/apache/spark/commit/9798244ca647ec68d36f4b9b21356a6de5f73f77 that does not exist in `branch-3.5`.

### Why are the changes needed?

Mainly for code clean-up.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests should cover this.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43221 from HyukjinKwon/SPARK-45167-followup2.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/client/reattach.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/sql/connect/client/reattach.py b/python/pyspark/sql/connect/client/reattach.py
index e58864b965bd9..6addb5bd2c652 100644
--- a/python/pyspark/sql/connect/client/reattach.py
+++ b/python/pyspark/sql/connect/client/reattach.py
@@ -18,12 +18,11 @@
 
 check_dependencies(__name__)
 
+from threading import RLock
 import warnings
 import uuid
 from collections.abc import Generator
 from typing import Optional, Dict, Any, Iterator, Iterable, Tuple, Callable, cast, Type, ClassVar
-from multiprocessing import RLock
-from multiprocessing.synchronize import RLock as RLockBase
 from multiprocessing.pool import ThreadPool
 import os
 
@@ -56,7 +55,7 @@ class ExecutePlanResponseReattachableIterator(Generator):
     """
 
     # Lock to manage the pool
-    _lock: ClassVar[RLockBase] = RLock()
+    _lock: ClassVar[RLock] = RLock()
     _release_thread_pool: Optional[ThreadPool] = ThreadPool(os.cpu_count() if os.cpu_count() else 8)
 
     @classmethod

From c50e371c2d3ccba9340bc8980add0753f2d7a86b Mon Sep 17 00:00:00 2001
From: Bobby Wang <wbo4958@gmail.com>
Date: Mon, 2 Oct 2023 23:00:56 -0500
Subject: [PATCH 414/986] [SPARK-45250][CORE] Support stage level task resource
 profile for yarn cluster when dynamic allocation disabled

### What changes were proposed in this pull request?
This PR is a follow-up of https://github.com/apache/spark/pull/37268 which supports stage level task resource profile for standalone cluster when dynamic allocation disabled. This PR enables stage-level task resource profile for yarn cluster.

### Why are the changes needed?

Users who work on spark ML/DL cases running on Yarn would expect stage-level task resource profile feature.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

The current tests of https://github.com/apache/spark/pull/37268 can also cover this PR since both yarn and standalone cluster share the same TaskSchedulerImpl class which implements this feature. Apart from that, modifying the existing test to cover yarn cluster. Apart from that, I also performed some manual tests which have been updated in the comments.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43030 from wbo4958/yarn-task-resoure-profile.

Authored-by: Bobby Wang <wbo4958@gmail.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit 5b80639e643b6dd09dd64c3f43ec039b2ef2f9fd)
Signed-off-by: Thomas Graves <tgraves@apache.org>
---
 .../spark/resource/ResourceProfileManager.scala   |  6 +++---
 .../resource/ResourceProfileManagerSuite.scala    | 15 +++++++++++++--
 docs/configuration.md                             |  2 +-
 docs/running-on-yarn.md                           |  6 +++++-
 4 files changed, 22 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala b/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
index 9f98d4d9c9c79..cd7124a572464 100644
--- a/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
+++ b/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
@@ -67,9 +67,9 @@ private[spark] class ResourceProfileManager(sparkConf: SparkConf,
    */
   private[spark] def isSupported(rp: ResourceProfile): Boolean = {
     if (rp.isInstanceOf[TaskResourceProfile] && !dynamicEnabled) {
-      if ((notRunningUnitTests || testExceptionThrown) && !isStandaloneOrLocalCluster) {
-        throw new SparkException("TaskResourceProfiles are only supported for Standalone " +
-          "cluster for now when dynamic allocation is disabled.")
+      if ((notRunningUnitTests || testExceptionThrown) && !(isStandaloneOrLocalCluster || isYarn)) {
+        throw new SparkException("TaskResourceProfiles are only supported for Standalone and " +
+          "Yarn cluster for now when dynamic allocation is disabled.")
       }
     } else {
       val isNotDefaultProfile = rp.id != ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID
diff --git a/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala b/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
index e97d5c7883aa8..77dc7bcb4c56e 100644
--- a/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
@@ -126,18 +126,29 @@ class ResourceProfileManagerSuite extends SparkFunSuite {
     val defaultProf = rpmanager.defaultResourceProfile
     assert(rpmanager.isSupported(defaultProf))
 
-    // task resource profile.
+    // Standalone: supports task resource profile.
     val gpuTaskReq = new TaskResourceRequests().resource("gpu", 1)
     val taskProf = new TaskResourceProfile(gpuTaskReq.requests)
     assert(rpmanager.isSupported(taskProf))
 
+    // Local: doesn't support task resource profile.
     conf.setMaster("local")
     rpmanager = new ResourceProfileManager(conf, listenerBus)
     val error = intercept[SparkException] {
       rpmanager.isSupported(taskProf)
     }.getMessage
     assert(error === "TaskResourceProfiles are only supported for Standalone " +
-      "cluster for now when dynamic allocation is disabled.")
+      "and Yarn cluster for now when dynamic allocation is disabled.")
+
+    // Local cluster: supports task resource profile.
+    conf.setMaster("local-cluster[1, 1, 1024]")
+    rpmanager = new ResourceProfileManager(conf, listenerBus)
+    assert(rpmanager.isSupported(taskProf))
+
+    // Yarn: supports task resource profile.
+    conf.setMaster("yarn")
+    rpmanager = new ResourceProfileManager(conf, listenerBus)
+    assert(rpmanager.isSupported(taskProf))
   }
 
   test("isSupported task resource profiles with dynamic allocation enabled") {
diff --git a/docs/configuration.md b/docs/configuration.md
index 1139beb66462f..74ddd6df0233c 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -3670,7 +3670,7 @@ See your cluster manager specific page for requirements and details on each of -
 # Stage Level Scheduling Overview
 
 The stage level scheduling feature allows users to specify task and executor resource requirements at the stage level. This allows for different stages to run with executors that have different resources. A prime example of this is one ETL stage runs with executors with just CPUs, the next stage is an ML stage that needs GPUs. Stage level scheduling allows for user to request different executors that have GPUs when the ML stage runs rather then having to acquire executors with GPUs at the start of the application and them be idle while the ETL stage is being run.
-This is only available for the RDD API in Scala, Java, and Python.  It is available on YARN, Kubernetes and Standalone when dynamic allocation is enabled. When dynamic allocation is disabled, it allows users to specify different task resource requirements at stage level, and this is supported on Standalone cluster right now. See the [YARN](running-on-yarn.html#stage-level-scheduling-overview) page or [Kubernetes](running-on-kubernetes.html#stage-level-scheduling-overview) page or [Standalone](spark-standalone.html#stage-level-scheduling-overview) page for more implementation details.
+This is only available for the RDD API in Scala, Java, and Python.  It is available on YARN, Kubernetes and Standalone when dynamic allocation is enabled. When dynamic allocation is disabled, it allows users to specify different task resource requirements at stage level, and this is supported on YARN and Standalone cluster right now. See the [YARN](running-on-yarn.html#stage-level-scheduling-overview) page or [Kubernetes](running-on-kubernetes.html#stage-level-scheduling-overview) page or [Standalone](spark-standalone.html#stage-level-scheduling-overview) page for more implementation details.
 
 See the `RDD.withResources` and `ResourceProfileBuilder` API's for using this feature. When dynamic allocation is disabled, tasks with different task resource requirements will share executors with `DEFAULT_RESOURCE_PROFILE`. While when dynamic allocation is enabled, the current implementation acquires new executors for each `ResourceProfile`  created and currently has to be an exact match. Spark does not try to fit tasks into an executor that require a different ResourceProfile than the executor was created with. Executors that are not in use will idle timeout with the dynamic allocation logic. The default configuration for this feature is to only allow one ResourceProfile per stage. If the user associates more then 1 ResourceProfile to an RDD, Spark will throw an exception by default. See config `spark.scheduler.resource.profileMergeConflicts` to control that behavior. The current merge strategy Spark implements when `spark.scheduler.resource.profileMergeConflicts` is enabled is a simple max of each resource within the conflicting ResourceProfiles. Spark will create a new ResourceProfile with the max of each of the resources.
 
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 5eec6c490cb1f..97cc9ac135af1 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -759,7 +759,11 @@ YARN does not tell Spark the addresses of the resources allocated to each contai
 
 # Stage Level Scheduling Overview
 
-Stage level scheduling is supported on YARN when dynamic allocation is enabled. One thing to note that is YARN specific is that each ResourceProfile requires a different container priority on YARN. The mapping is simply the ResourceProfile id becomes the priority, on YARN lower numbers are higher priority. This means that profiles created earlier will have a higher priority in YARN. Normally this won't matter as Spark finishes one stage before starting another one, the only case this might have an affect is in a job server type scenario, so its something to keep in mind.
+Stage level scheduling is supported on YARN:
+- When dynamic allocation is disabled: It allows users to specify different task resource requirements at the stage level and will use the same executors requested at startup.
+- When dynamic allocation is enabled: It allows users to specify task and executor resource requirements at the stage level and will request the extra executors.
+
+One thing to note that is YARN specific is that each ResourceProfile requires a different container priority on YARN. The mapping is simply the ResourceProfile id becomes the priority, on YARN lower numbers are higher priority. This means that profiles created earlier will have a higher priority in YARN. Normally this won't matter as Spark finishes one stage before starting another one, the only case this might have an affect is in a job server type scenario, so its something to keep in mind.
 Note there is a difference in the way custom resources are handled between the base default profile and custom ResourceProfiles. To allow for the user to request YARN containers with extra resources without Spark scheduling on them, the user can specify resources via the <code>spark.yarn.executor.resource.</code> config. Those configs are only used in the base default profile though and do not get propagated into any other custom ResourceProfiles. This is because there would be no way to remove them if you wanted a stage to not have them. This results in your default profile getting custom resources defined in <code>spark.yarn.executor.resource.</code> plus spark defined resources of GPU or FPGA. Spark converts GPU and FPGA resources into the YARN built in types <code>yarn.io/gpu</code>) and <code>yarn.io/fpga</code>, but does not know the mapping of any other resources. Any other Spark custom resources are not propagated to YARN for the default profile. So if you want Spark to schedule based off a custom resource and have it requested from YARN, you must specify it in both YARN (<code>spark.yarn.{driver/executor}.resource.</code>) and Spark (<code>spark.{driver/executor}.resource.</code>) configs. Leave the Spark config off if you only want YARN containers with the extra resources but Spark not to schedule using them. Now for custom ResourceProfiles, it doesn't currently have a way to only specify YARN resources without Spark scheduling off of them. This means for custom ResourceProfiles we propagate all the resources defined in the ResourceProfile to YARN. We still convert GPU and FPGA to the YARN build in types as well. This requires that the name of any custom resources you specify match what they are defined as in YARN.
 
 # Important notes

From 64e2b22f6b4023197871a60eb08b055688e9fdd2 Mon Sep 17 00:00:00 2001
From: Weichen Xu <weichen.xu@databricks.com>
Date: Thu, 5 Oct 2023 08:38:54 +0900
Subject: [PATCH 415/986] [SPARK-45396][PYTHON] Add doc entry for
 `pyspark.ml.connect` module, and adds `Evaluator` to `__all__` at
 `ml.connect`

This PR documents MLlib's Spark Connect support at API reference.

This PR also piggies back a fix in `__all__` at `python/pyspark/ml/connect/__init__.py` so `from pyspark.sql.commect import Evaluator` works.

With this this, user cannot see `pyspark.ml.connect` Python APIs on doc website.

Yes it adds the new page into your facing documentation ([PySpark API reference](https://spark.apache.org/docs/latest/api/python/reference/index.html)).

Manually tested via:

```bash
cd python/docs
make clean html
```

No.

Closes #43210 from HyukjinKwon/SPARK-45396-followup.

Lead-authored-by: Weichen Xu <weichen.xu@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 35b627a934b1ab28be7d6ba88fdad63dc129525a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/docs/source/reference/index.rst        |   1 +
 .../source/reference/pyspark.ml.connect.rst   | 122 ++++++++++++++++++
 python/pyspark/ml/connect/__init__.py         |   3 +-
 3 files changed, 125 insertions(+), 1 deletion(-)
 create mode 100644 python/docs/source/reference/pyspark.ml.connect.rst

diff --git a/python/docs/source/reference/index.rst b/python/docs/source/reference/index.rst
index ed3eb4d07dac6..6330636839cdf 100644
--- a/python/docs/source/reference/index.rst
+++ b/python/docs/source/reference/index.rst
@@ -31,6 +31,7 @@ Pandas API on Spark follows the API specifications of latest pandas release.
    pyspark.pandas/index
    pyspark.ss/index
    pyspark.ml
+   pyspark.ml.connect
    pyspark.streaming
    pyspark.mllib
    pyspark
diff --git a/python/docs/source/reference/pyspark.ml.connect.rst b/python/docs/source/reference/pyspark.ml.connect.rst
new file mode 100644
index 0000000000000..1a3e6a593980f
--- /dev/null
+++ b/python/docs/source/reference/pyspark.ml.connect.rst
@@ -0,0 +1,122 @@
+..  Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+..    http://www.apache.org/licenses/LICENSE-2.0
+
+..  Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+
+MLlib (DataFrame-based) for Spark Connect
+=========================================
+
+.. warning::
+    The namespace for this package can change in the future Spark version.
+
+
+Pipeline APIs
+-------------
+
+.. currentmodule:: pyspark.ml.connect
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    Transformer
+    Estimator
+    Model
+    Evaluator
+    Pipeline
+    PipelineModel
+
+
+Feature
+-------
+
+.. currentmodule:: pyspark.ml.connect.feature
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    MaxAbsScaler
+    MaxAbsScalerModel
+    StandardScaler
+    StandardScalerModel
+
+
+Classification
+--------------
+
+.. currentmodule:: pyspark.ml.connect.classification
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    LogisticRegression
+    LogisticRegressionModel
+
+
+Functions
+---------
+
+.. currentmodule:: pyspark.ml.connect.functions
+
+.. autosummary::
+    :toctree: api/
+
+    array_to_vector
+    vector_to_array
+
+
+Tuning
+------
+
+.. currentmodule:: pyspark.ml.connect.tuning
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    CrossValidator
+    CrossValidatorModel
+
+
+Evaluation
+----------
+
+.. currentmodule:: pyspark.ml.connect.evaluation
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    RegressionEvaluator
+    BinaryClassificationEvaluator
+    MulticlassClassificationEvaluator
+
+
+Utilities
+---------
+
+.. currentmodule:: pyspark.ml.connect.io_utils
+
+.. autosummary::
+    :template: autosummary/class_with_docs.rst
+    :toctree: api/
+
+    ParamsReadWrite
+    CoreModelReadWrite
+    MetaAlgorithmReadWrite
+
diff --git a/python/pyspark/ml/connect/__init__.py b/python/pyspark/ml/connect/__init__.py
index 2ee152f6a38a3..e6115a62ccfe8 100644
--- a/python/pyspark/ml/connect/__init__.py
+++ b/python/pyspark/ml/connect/__init__.py
@@ -28,13 +28,14 @@
     evaluation,
     tuning,
 )
+from pyspark.ml.connect.evaluation import Evaluator
 
 from pyspark.ml.connect.pipeline import Pipeline, PipelineModel
 
 __all__ = [
     "Estimator",
     "Transformer",
-    "Estimator",
+    "Evaluator",
     "Model",
     "feature",
     "evaluation",

From 1b5b2a15dec3d17fa1e7be9a78b37dc600eeb8ab Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Sat, 7 Oct 2023 15:26:17 -0700
Subject: [PATCH 416/986] [SPARK-45389][SQL][3.5] Correct MetaException
 matching rule on getting partition metadata

This is the backport of https://github.com/apache/spark/pull/43191 for `branch-3.5`, it should also be applicable for `branch-3.3` and `branch-3.4`

### What changes were proposed in this pull request?

This PR aims to fix the HMS call fallback logic introduced in SPARK-35437.

```patch
try {
  ...
  hive.getPartitionNames
  ...
  hive.getPartitionsByNames
} catch {
- case ex: InvocationTargetException if ex.getCause.isInstanceOf[MetaException] =>
+ case ex: HiveException if ex.getCause.isInstanceOf[MetaException] =>
  ...
}
```

### Why are the changes needed?

Directly method call won't throw `InvocationTargetException`, and check the code of `hive.getPartitionNames` and `hive.getPartitionsByNames`, both of them will wrap a `HiveException` if `MetaException` throws.

### Does this PR introduce _any_ user-facing change?

Yes, it should be a bug fix.

### How was this patch tested?

Pass GA and code review. (I'm not sure how to construct/simulate a MetaException during the HMS thrift call with the current HMS testing infrastructure)

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43260 from pan3793/SPARK-45389-3.5.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/sql/hive/client/HiveShim.scala     | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
index 63f672b22bad2..60ff9ec42f29d 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
@@ -33,7 +33,7 @@ import org.apache.hadoop.hive.metastore.TableType
 import org.apache.hadoop.hive.metastore.api.{Database, EnvironmentContext, Function => HiveFunction, FunctionType, Index, MetaException, PrincipalType, ResourceType, ResourceUri}
 import org.apache.hadoop.hive.ql.Driver
 import org.apache.hadoop.hive.ql.io.AcidUtils
-import org.apache.hadoop.hive.ql.metadata.{Hive, Partition, Table}
+import org.apache.hadoop.hive.ql.metadata.{Hive, HiveException, Partition, Table}
 import org.apache.hadoop.hive.ql.plan.AddPartitionDesc
 import org.apache.hadoop.hive.ql.processors.{CommandProcessor, CommandProcessorFactory}
 import org.apache.hadoop.hive.ql.session.SessionState
@@ -1190,7 +1190,7 @@ private[client] class Shim_v0_13 extends Shim_v0_12 {
         recordHiveCall()
         hive.getPartitionsByNames(table, partNames.asJava)
       } catch {
-        case ex: InvocationTargetException if ex.getCause.isInstanceOf[MetaException] =>
+        case ex: HiveException if ex.getCause.isInstanceOf[MetaException] =>
           logWarning("Caught Hive MetaException attempting to get partition metadata by " +
             "filter from client side. Falling back to fetching all partition metadata", ex)
           recordHiveCall()

From 8105e0c9f93bd4c93d364646766d5ee5e057d19a Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 8 Oct 2023 04:44:55 -0700
Subject: [PATCH 417/986] [MINOR][DOCS] Update `CTAS` with `LOCATION` behavior
 with Spark 3.2+

### What changes were proposed in this pull request?

This PR aims to update `CTAS` with `LOCATION` behavior according to Spark 3.2+.

### Why are the changes needed?

SPARK-28551 changed the behavior at Apache Spark 3.2.0.

https://github.com/apache/spark/blob/24b82dfd6cfb9a658af615446be5423695830dd9/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L2306-L2313

### Does this PR introduce _any_ user-facing change?

No. This is a documentation fix.

### How was this patch tested?

N/A

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43277 from dongjoon-hyun/minor_ctas.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 2d6d09b71e77b362a4c774170e2ca992a31fb1ea)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/sql-ref-syntax-ddl-create-table-datasource.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/sql-ref-syntax-ddl-create-table-datasource.md b/docs/sql-ref-syntax-ddl-create-table-datasource.md
index 7920a8a558e3d..f645732a15df9 100644
--- a/docs/sql-ref-syntax-ddl-create-table-datasource.md
+++ b/docs/sql-ref-syntax-ddl-create-table-datasource.md
@@ -104,7 +104,9 @@ In general CREATE TABLE is creating a "pointer", and you need to make sure it po
 existing. An exception is file source such as parquet, json. If you don't specify the LOCATION,
 Spark will create a default table location for you.
 
-For CREATE TABLE AS SELECT, Spark will overwrite the underlying data source with the data of the
+For CREATE TABLE AS SELECT with LOCATION, Spark throws analysis exceptions if the given location
+exists as a non-empty directory. If `spark.sql.legacy.allowNonEmptyLocationInCTAS` is set to true,
+Spark overwrites the underlying data source with the data of the
 input query, to make sure the table gets created contains exactly the same data as the input query.
 
 ### Examples

From 5f8ae9a3dbd2c7624bffd588483c9916c302c081 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Mon, 9 Oct 2023 12:30:20 +0300
Subject: [PATCH 418/986] [SPARK-45424][SQL] Fix TimestampFormatter return
 optional parse results when only prefix match

### What changes were proposed in this pull request?
When use custom pattern to parse timestamp, if there have matched prefix, not matched all. The `Iso8601TimestampFormatter::parseOptional` and `Iso8601TimestampFormatter::parseWithoutTimeZoneOptional` should not return not empty result.
eg: pattern = `yyyy-MM-dd HH:mm:ss`, value = `9999-12-31 23:59:59.999`. If fact, `yyyy-MM-dd HH:mm:ss` can parse `9999-12-31 23:59:59`  normally, but value have suffix `.999`. so we can't return not empty result.
This bug will affect inference the schema in CSV/JSON.

### Why are the changes needed?
Fix inference the schema bug.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
add new test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43245 from Hisoka-X/SPARK-45424-inference-schema-unresolved.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 4493b431192fcdbab1379b7ffb89eea0cdaa19f1)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../spark/sql/catalyst/util/TimestampFormatter.scala   | 10 ++++++----
 .../sql/catalyst/util/TimestampFormatterSuite.scala    | 10 ++++++++++
 2 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
index 8a288d0e9f3a3..55eee41c14ca5 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
@@ -167,8 +167,9 @@ class Iso8601TimestampFormatter(
 
   override def parseOptional(s: String): Option[Long] = {
     try {
-      val parsed = formatter.parseUnresolved(s, new ParsePosition(0))
-      if (parsed != null) {
+      val parsePosition = new ParsePosition(0)
+      val parsed = formatter.parseUnresolved(s, parsePosition)
+      if (parsed != null && s.length == parsePosition.getIndex) {
         Some(extractMicros(parsed))
       } else {
         None
@@ -196,8 +197,9 @@ class Iso8601TimestampFormatter(
 
   override def parseWithoutTimeZoneOptional(s: String, allowTimeZone: Boolean): Option[Long] = {
     try {
-      val parsed = formatter.parseUnresolved(s, new ParsePosition(0))
-      if (parsed != null) {
+      val parsePosition = new ParsePosition(0)
+      val parsed = formatter.parseUnresolved(s, parsePosition)
+      if (parsed != null && s.length == parsePosition.getIndex) {
         Some(extractMicrosNTZ(s, parsed, allowTimeZone))
       } else {
         None
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
index eb173bc7f8c87..2134a0d6ecd36 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
@@ -507,4 +507,14 @@ class TimestampFormatterSuite extends DatetimeFormatterSuite {
     assert(simpleFormatter.parseOptional("abc").isEmpty)
 
   }
+
+  test("SPARK-45424: do not return optional parse results when only prefix match") {
+    val formatter = new Iso8601TimestampFormatter(
+      "yyyy-MM-dd HH:mm:ss",
+      locale = DateFormatter.defaultLocale,
+      legacyFormat = LegacyDateFormats.SIMPLE_DATE_FORMAT,
+      isParsing = true, zoneId = DateTimeTestUtils.LA)
+    assert(formatter.parseOptional("9999-12-31 23:59:59.999").isEmpty)
+    assert(formatter.parseWithoutTimeZoneOptional("9999-12-31 23:59:59.999", true).isEmpty)
+  }
 }

From 4841a404be3c37fc16031a0119b321eefcb2faab Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Mon, 9 Oct 2023 12:32:14 +0300
Subject: [PATCH 419/986] [SPARK-45459][SQL][TESTS][DOCS] Remove the last 2
 extra spaces in the automatically generated `sql-error-conditions.md` file

### What changes were proposed in this pull request?
The pr aims to remove the last 2 extra spaces in the automatically generated `sql-error-conditions.md` file.

### Why are the changes needed?
- When I am work on another PR, I use the following command:
```
SPARK_GENERATE_GOLDEN_FILES=1 build/sbt \
        "core/testOnly *SparkThrowableSuite -- -t \"Error classes match with document\""
```
  I found that in the automatically generated `sql-error-conditions.md` file, there are 2 extra spaces added at the end,
Obviously, this is not what we expected, otherwise we would need to manually remove it, which is not in line with automation.

- The git tells us this difference, as follows:
<img width="725" alt="image" src="https://github.com/apache/spark/assets/15246973/a68b657f-3a00-4405-9623-1f7ab9d44d82">

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Pass GA.
- Manually test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43274 from panbingkun/SPARK-45459.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit af800b505956ff26e03c5fc56b6cb4ac5c0efe2f)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../test/scala/org/apache/spark/SparkThrowableSuite.scala    | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
index 0249cde54884b..299bcea3f9e23 100644
--- a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
@@ -253,8 +253,7 @@ class SparkThrowableSuite extends SparkFunSuite {
          |
          |Also see [SQLSTATE Codes](sql-error-conditions-sqlstates.html).
          |
-         |$sqlErrorParentDocContent
-         |""".stripMargin
+         |$sqlErrorParentDocContent""".stripMargin
 
     errors.filter(_._2.subClass.isDefined).foreach(error => {
       val name = error._1
@@ -316,7 +315,7 @@ class SparkThrowableSuite extends SparkFunSuite {
         }
         FileUtils.writeStringToFile(
           parentDocPath.toFile,
-          sqlErrorParentDoc + lineSeparator,
+          sqlErrorParentDoc,
           StandardCharsets.UTF_8)
       }
     } else {

From 8bf5a5bca3f9f7db78182d14e56476d384f442fa Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 9 Oct 2023 22:15:45 +0300
Subject: [PATCH 420/986] [SPARK-45383][SQL] Fix error message for time travel
 with non-existing table

### What changes were proposed in this pull request?

Fixes a small bug to report `TABLE_OR_VIEW_NOT_FOUND` error correctly for time travel. It was missed before because `RelationTimeTravel` is a leaf node but it may contain `UnresolvedRelation`.

### Why are the changes needed?

bug fix

### Does this PR introduce _any_ user-facing change?

Yes, the error message becomes reasonable

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43298 from cloud-fan/time-travel.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit ced321c8b5a32c69dfb2841d4bec8a03f21b8038)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../spark/sql/catalyst/analysis/CheckAnalysis.scala   |  4 ++++
 .../spark/sql/connector/DataSourceV2SQLSuite.scala    | 11 +++++++++++
 2 files changed, 15 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 511f3622e7e35..533ea8a2b7998 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -365,6 +365,9 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
         })
 
         operator match {
+          case RelationTimeTravel(u: UnresolvedRelation, _, _) =>
+            u.tableNotFound(u.multipartIdentifier)
+
           case etw: EventTimeWatermark =>
             etw.eventTime.dataType match {
               case s: StructType
@@ -377,6 +380,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
                     "eventName" -> toSQLId(etw.eventTime.name),
                     "eventType" -> toSQLType(etw.eventTime.dataType)))
             }
+
           case f: Filter if f.condition.dataType != BooleanType =>
             f.failAnalysis(
               errorClass = "DATATYPE_MISMATCH.FILTER_NOT_BOOLEAN",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 06f5600e0d199..7745e9c0a4ee7 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3014,6 +3014,17 @@ class DataSourceV2SQLSuiteV1Filter
         sqlState = None,
         parameters = Map("relationId" -> "`x`"))
 
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("SELECT * FROM non_exist VERSION AS OF 1")
+        },
+        errorClass = "TABLE_OR_VIEW_NOT_FOUND",
+        parameters = Map("relationName" -> "`non_exist`"),
+        context = ExpectedContext(
+          fragment = "non_exist",
+          start = 14,
+          stop = 22))
+
       val subquery1 = "SELECT 1 FROM non_exist"
       checkError(
         exception = intercept[AnalysisException] {

From ac4b9154b5822779023e66f2efb24d05e20b1cca Mon Sep 17 00:00:00 2001
From: Chaoqin Li <chaoqin.li@databricks.com>
Date: Tue, 10 Oct 2023 11:03:19 +0900
Subject: [PATCH 421/986] [SPARK-45419][SS] Avoid reusing rocksdb sst files in
 a dfferent rocksdb instance

### What changes were proposed in this pull request?
When loading a rocksdb instance, remove file version map entry of larger versions to avoid rocksdb sst file unique id mismatch exception. The SST files in larger versions can't be reused even if they have the same size and name because they belong to another rocksdb instance.

### Why are the changes needed?
Avoid rocksdb file mismatch exception that may occur in runtime.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Add rocksdb unit test.

Closes #43174 from chaoqin-li1123/rocksdb_mismatch.

Authored-by: Chaoqin Li <chaoqin.li@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../streaming/state/RocksDBFileManager.scala  |  4 +++
 .../streaming/state/RocksDBSuite.scala        | 29 +++++++++++++++++++
 2 files changed, 33 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
index 0891d7737135a..faf9cd701aeca 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
@@ -207,6 +207,10 @@ class RocksDBFileManager(
    */
   def loadCheckpointFromDfs(version: Long, localDir: File): RocksDBCheckpointMetadata = {
     logInfo(s"Loading checkpoint files for version $version")
+    // The unique ids of SST files are checked when opening a rocksdb instance. The SST files
+    // in larger versions can't be reused even if they have the same size and name because
+    // they belong to another rocksdb instance.
+    versionToRocksDBFiles.keySet().removeIf(_ >= version)
     val metadata = if (version == 0) {
       if (localDir.exists) Utils.deleteRecursively(localDir)
       localDir.mkdirs()
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
index e31b05c362f6a..91dd858220717 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
@@ -214,6 +214,35 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  testWithChangelogCheckpointingEnabled("SPARK-45419: Do not reuse SST files" +
+    " in different RocksDB instances") {
+    val remoteDir = Utils.createTempDir().toString
+    val conf = dbConf.copy(minDeltasForSnapshot = 0, compactOnCommit = false)
+    new File(remoteDir).delete()  // to make sure that the directory gets created
+    withDB(remoteDir, conf = conf) { db =>
+      for (version <- 0 to 2) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 3.zip
+      db.doMaintenance()
+      // Roll back to version 1 and start to process data.
+      for (version <- 1 to 3) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // Upload snapshot 4.zip, should not reuse the SST files in 3.zip
+      db.doMaintenance()
+    }
+
+    withDB(remoteDir, conf = conf) { db =>
+      // Open the db to verify that the state in 4.zip is no corrupted.
+      db.load(4)
+    }
+  }
+
   // A rocksdb instance with changelog checkpointing enabled should be able to load
   // an existing checkpoint without changelog.
   testWithChangelogCheckpointingEnabled(

From 24f88b319c88bfe55e8b2b683193a85842bdad88 Mon Sep 17 00:00:00 2001
From: yorksity <yorksity@outlook.com>
Date: Tue, 10 Oct 2023 14:36:23 +0800
Subject: [PATCH 422/986] [SPARK-45205][SQL] CommandResultExec to override
 iterator methods to avoid triggering multiple jobs
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

After SPARK-35378 was changed, the execution of statements such as ‘show parititions test' became slower. The change point is that the execution process changes from ExecutedCommandEnec to CommandResultExec, but ExecutedCommandExec originally implemented the following method

override def executeToIterator(): Iterator[InternalRow] = sideEffectResult.iterator

CommandResultExec is not rewritten, so when the hasNext method is executed, a job process is created, resulting in increased time-consuming

### Why are the changes needed?

Improve performance when show partitions/tables.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests should cover this.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43270 from yorksity/SPARK-45205.

Authored-by: yorksity <yorksity@outlook.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit c9c99222e828d556552694dfb48c75bf0703a2c4)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/execution/CommandResultExec.scala      | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/CommandResultExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/CommandResultExec.scala
index 5f38278d2dc67..45e3e41ab053d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/CommandResultExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/CommandResultExec.scala
@@ -81,6 +81,8 @@ case class CommandResultExec(
     unsafeRows
   }
 
+  override def executeToIterator(): Iterator[InternalRow] = unsafeRows.iterator
+
   override def executeTake(limit: Int): Array[InternalRow] = {
     val taken = unsafeRows.take(limit)
     longMetric("numOutputRows").add(taken.size)

From 81a7f8f184cd597208fcad72130354288a0c9f79 Mon Sep 17 00:00:00 2001
From: liangyongyuan <liangyongyuan@xiaomi.com>
Date: Tue, 10 Oct 2023 14:40:33 +0800
Subject: [PATCH 423/986] [SPARK-45449][SQL] Cache Invalidation Issue with JDBC
 Table

### What changes were proposed in this pull request?
Add an equals method to `JDBCOptions` that considers two instances equal if their `JDBCOptions.parameters` are the same.

### Why are the changes needed?
We have identified a cache invalidation issue when caching JDBC tables in Spark SQL. The cached table is unexpectedly invalidated when queried, leading to a re-read from the JDBC table instead of retrieving data from the cache.
Example SQL:

```
CACHE TABLE cache_t SELECT * FROM mysql.test.test1;
SELECT * FROM cache_t;
```
Expected Behavior:
The expectation is that querying the cached table (cache_t) should retrieve the result from the cache without re-evaluating the execution plan.

Actual Behavior:
However, the cache is invalidated, and the content is re-read from the JDBC table.

Root Cause:
The issue lies in the `CacheData` class, where the comparison involves `JDBCTable`. The `JDBCTable` is a case class:

`case class JDBCTable(ident: Identifier, schema: StructType, jdbcOptions: JDBCOptions)`
The comparison of non-case class components, such as `jdbcOptions`, involves pointer comparison. This leads to unnecessary cache invalidation.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Add uts

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43258 from lyy-pineapple/spark-git-cache.

Authored-by: liangyongyuan <liangyongyuan@xiaomi.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d073f2d3e2f67a4b612e020a583e23dc1fa63aab)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../execution/datasources/jdbc/JDBCOptions.scala  |  8 ++++++++
 .../v2/jdbc/JDBCTableCatalogSuite.scala           | 15 +++++++++++++++
 2 files changed, 23 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCOptions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCOptions.scala
index 268a65b81ff68..57651684070f7 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCOptions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCOptions.scala
@@ -239,6 +239,14 @@ class JDBCOptions(
       .get(JDBC_PREFER_TIMESTAMP_NTZ)
       .map(_.toBoolean)
       .getOrElse(SQLConf.get.timestampType == TimestampNTZType)
+
+  override def hashCode: Int = this.parameters.hashCode()
+
+  override def equals(other: Any): Boolean = other match {
+    case otherOption: JDBCOptions =>
+      otherOption.parameters.equals(this.parameters)
+    case _ => false
+  }
 }
 
 class JdbcOptionsInWrite(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
index 6b85911dca773..eed64b873c451 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
 import org.apache.spark.sql.catalyst.analysis.{NoSuchNamespaceException, TableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.util.CharVarcharUtils
+import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
@@ -512,4 +513,18 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       assert(t.schema === replaced)
     }
   }
+
+  test("SPARK-45449: Cache Invalidation Issue with JDBC Table") {
+    withTable("h2.test.cache_t") {
+      withConnection { conn =>
+        conn.prepareStatement(
+          """CREATE TABLE "test"."cache_t" (id decimal(25) PRIMARY KEY NOT NULL,
+            |name TEXT(32) NOT NULL)""".stripMargin).executeUpdate()
+      }
+      sql("INSERT OVERWRITE h2.test.cache_t SELECT 1 AS id, 'a' AS name")
+      sql("CACHE TABLE t1 SELECT id, name FROM h2.test.cache_t")
+      val plan = sql("select * from t1").queryExecution.sparkPlan
+      assert(plan.isInstanceOf[InMemoryTableScanExec])
+    }
+  }
 }

From 40d44a3fa4a59f6e98d076a3b3f006851f25be3a Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 10 Oct 2023 17:16:11 +0900
Subject: [PATCH 424/986] [SPARK-45475][SQL] Uses DataFrame.foreachPartition
 instead of RDD.foreachPartition in JdbcUtils

This PR is kind of a followup for https://github.com/apache/spark/pull/39976 that addresses https://github.com/apache/spark/pull/39976#issuecomment-1752930380 comment.

In order to probably assign the SQL execution ID so `df.observe` works with this.

Yes. `df.observe` will work with JDBC connectors.

Manually tested.

Unit test was added.

Closes #43304 from HyukjinKwon/foreachbatch.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 39cc4abaff73cb49f9d79d1d844fe5c9fa14c917)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/datasources/jdbc/JdbcUtils.scala  |  2 +-
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala   | 17 ++++++++++++++++-
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index b7019c1dcbe53..aae4be3f09483 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -898,7 +898,7 @@ object JdbcUtils extends Logging with SQLConfHelper {
       case Some(n) if n < df.rdd.getNumPartitions => df.coalesce(n)
       case _ => df
     }
-    repartitionedDF.rdd.foreachPartition { iterator => savePartition(
+    repartitionedDF.foreachPartition { iterator => savePartition(
       table, iterator, rddSchema, insertStmt, batchSize, dialect, isolationLevel, options)
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 93b6652d516cc..eae171e20b706 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -29,7 +29,7 @@ import org.mockito.ArgumentMatchers._
 import org.mockito.Mockito._
 
 import org.apache.spark.{SparkException, SparkSQLException}
-import org.apache.spark.sql.{AnalysisException, DataFrame, QueryTest, Row}
+import org.apache.spark.sql.{AnalysisException, DataFrame, Observation, QueryTest, Row}
 import org.apache.spark.sql.catalyst.{analysis, TableIdentifier}
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.ShowCreateTable
@@ -39,6 +39,7 @@ import org.apache.spark.sql.execution.command.{ExplainCommand, ShowCreateTableCo
 import org.apache.spark.sql.execution.datasources.LogicalRelation
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JDBCPartition, JDBCRelation, JdbcUtils}
 import org.apache.spark.sql.execution.metric.InputOutputMetricsHelper
+import org.apache.spark.sql.functions.{lit, percentile_approx}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.sources._
 import org.apache.spark.sql.test.SharedSparkSession
@@ -2057,4 +2058,18 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val df = sql("SELECT * FROM composite_name WHERE `last name` = 'smith'")
     assert(df.collect.toSet === Set(Row("smith", 1)))
   }
+
+  test("SPARK-45475: saving a table via JDBC should work with observe API") {
+    val tableName = "test_table"
+    val namedObservation = Observation("named")
+    val observed_df = spark.range(100).observe(
+      namedObservation, percentile_approx($"id", lit(0.5), lit(100)).as("percentile_approx_val"))
+
+    observed_df.write.format("jdbc")
+      .option("url", urlWithUserAndPass)
+      .option("dbtable", tableName).save()
+
+    val expected = Map("percentile_approx_val" -> 49)
+    assert(namedObservation.get === expected)
+  }
 }

From 80c166092eb691586eeaf7adb43f818f50c6cdea Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 11 Oct 2023 01:03:27 +0900
Subject: [PATCH 425/986] Revert "[SPARK-45475][SQL] Uses
 DataFrame.foreachPartition instead of RDD.foreachPartition in JdbcUtils"

This reverts commit 40d44a3fa4a59f6e98d076a3b3f006851f25be3a.
---
 .../execution/datasources/jdbc/JdbcUtils.scala  |  2 +-
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala   | 17 +----------------
 2 files changed, 2 insertions(+), 17 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index aae4be3f09483..b7019c1dcbe53 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -898,7 +898,7 @@ object JdbcUtils extends Logging with SQLConfHelper {
       case Some(n) if n < df.rdd.getNumPartitions => df.coalesce(n)
       case _ => df
     }
-    repartitionedDF.foreachPartition { iterator => savePartition(
+    repartitionedDF.rdd.foreachPartition { iterator => savePartition(
       table, iterator, rddSchema, insertStmt, batchSize, dialect, isolationLevel, options)
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index eae171e20b706..93b6652d516cc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -29,7 +29,7 @@ import org.mockito.ArgumentMatchers._
 import org.mockito.Mockito._
 
 import org.apache.spark.{SparkException, SparkSQLException}
-import org.apache.spark.sql.{AnalysisException, DataFrame, Observation, QueryTest, Row}
+import org.apache.spark.sql.{AnalysisException, DataFrame, QueryTest, Row}
 import org.apache.spark.sql.catalyst.{analysis, TableIdentifier}
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.ShowCreateTable
@@ -39,7 +39,6 @@ import org.apache.spark.sql.execution.command.{ExplainCommand, ShowCreateTableCo
 import org.apache.spark.sql.execution.datasources.LogicalRelation
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JDBCPartition, JDBCRelation, JdbcUtils}
 import org.apache.spark.sql.execution.metric.InputOutputMetricsHelper
-import org.apache.spark.sql.functions.{lit, percentile_approx}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.sources._
 import org.apache.spark.sql.test.SharedSparkSession
@@ -2058,18 +2057,4 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val df = sql("SELECT * FROM composite_name WHERE `last name` = 'smith'")
     assert(df.collect.toSet === Set(Row("smith", 1)))
   }
-
-  test("SPARK-45475: saving a table via JDBC should work with observe API") {
-    val tableName = "test_table"
-    val namedObservation = Observation("named")
-    val observed_df = spark.range(100).observe(
-      namedObservation, percentile_approx($"id", lit(0.5), lit(100)).as("percentile_approx_val"))
-
-    observed_df.write.format("jdbc")
-      .option("url", urlWithUserAndPass)
-      .option("dbtable", tableName).save()
-
-    val expected = Map("percentile_approx_val" -> 49)
-    assert(namedObservation.get === expected)
-  }
 }

From 22e924778eef9a36c360e3e2a479c9401e6c58a1 Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Tue, 10 Oct 2023 19:49:20 -0700
Subject: [PATCH 426/986] [SPARK-45473][SQL][3.5] Fix incorrect error message
 for RoundBase

### What changes were proposed in this pull request?

This minor patch fixes incorrect error message of `RoundBase`.

### Why are the changes needed?

Fix incorrect error message.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43315 from viirya/minor_fix-3.5.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/catalyst/expressions/mathExpressions.scala      | 2 +-
 .../sql/catalyst/analysis/ExpressionTypeCheckingSuite.scala   | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala
index add59a38b7201..b9a2cb348e380 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala
@@ -1509,7 +1509,7 @@ abstract class RoundBase(child: Expression, scale: Expression,
           DataTypeMismatch(
             errorSubClass = "NON_FOLDABLE_INPUT",
             messageParameters = Map(
-              "inputName" -> "scala",
+              "inputName" -> "scale",
               "inputType" -> toSQLType(scale.dataType),
               "inputExpr" -> toSQLExpr(scale)))
         }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ExpressionTypeCheckingSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ExpressionTypeCheckingSuite.scala
index 665204cd0c58e..08be4c8acc4b5 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ExpressionTypeCheckingSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ExpressionTypeCheckingSuite.scala
@@ -602,7 +602,7 @@ class ExpressionTypeCheckingSuite extends SparkFunSuite with SQLHelper with Quer
       errorClass = "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
       parameters = Map(
         "sqlExpr" -> "\"round(intField, intField)\"",
-        "inputName" -> "scala",
+        "inputName" -> "scale",
         "inputType" -> "\"INT\"",
         "inputExpr" -> "\"intField\""))
 
@@ -649,7 +649,7 @@ class ExpressionTypeCheckingSuite extends SparkFunSuite with SQLHelper with Quer
       errorClass = "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
       parameters = Map(
         "sqlExpr" -> "\"bround(intField, intField)\"",
-        "inputName" -> "scala",
+        "inputName" -> "scale",
         "inputType" -> "\"INT\"",
         "inputExpr" -> "\"intField\""))
     checkError(

From 04e6b713ab5e4a607254f331a0ea1e331ae6c857 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 11 Oct 2023 14:15:40 +0900
Subject: [PATCH 427/986] [SPARK-45475][SQL][3.5] Uses
 DataFrame.foreachPartition instead of RDD.foreachPartition in JdbcUtils

This PR cherry-picks https://github.com/apache/spark/pull/43304 to branch-3.5

---

### What changes were proposed in this pull request?

This PR is kind of a followup for https://github.com/apache/spark/pull/39976 that addresses https://github.com/apache/spark/pull/39976#issuecomment-1752930380 comment.

### Why are the changes needed?

In order to probably assign the SQL execution ID so `df.observe` works with this.

### Does this PR introduce _any_ user-facing change?

Yes. `df.observe` will work with JDBC connectors.

### How was this patch tested?

Manually tested.

### Was this patch authored or co-authored using generative AI tooling?

Unit test was added.

Closes #43322 from HyukjinKwon/SPARK-45475-3.5.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/datasources/jdbc/JdbcUtils.scala  |  2 +-
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala   | 17 ++++++++++++++++-
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index b7019c1dcbe53..6e7298710a5d8 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -898,7 +898,7 @@ object JdbcUtils extends Logging with SQLConfHelper {
       case Some(n) if n < df.rdd.getNumPartitions => df.coalesce(n)
       case _ => df
     }
-    repartitionedDF.rdd.foreachPartition { iterator => savePartition(
+    repartitionedDF.foreachPartition { iterator: Iterator[Row] => savePartition(
       table, iterator, rddSchema, insertStmt, batchSize, dialect, isolationLevel, options)
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 93b6652d516cc..eae171e20b706 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -29,7 +29,7 @@ import org.mockito.ArgumentMatchers._
 import org.mockito.Mockito._
 
 import org.apache.spark.{SparkException, SparkSQLException}
-import org.apache.spark.sql.{AnalysisException, DataFrame, QueryTest, Row}
+import org.apache.spark.sql.{AnalysisException, DataFrame, Observation, QueryTest, Row}
 import org.apache.spark.sql.catalyst.{analysis, TableIdentifier}
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.ShowCreateTable
@@ -39,6 +39,7 @@ import org.apache.spark.sql.execution.command.{ExplainCommand, ShowCreateTableCo
 import org.apache.spark.sql.execution.datasources.LogicalRelation
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JDBCPartition, JDBCRelation, JdbcUtils}
 import org.apache.spark.sql.execution.metric.InputOutputMetricsHelper
+import org.apache.spark.sql.functions.{lit, percentile_approx}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.sources._
 import org.apache.spark.sql.test.SharedSparkSession
@@ -2057,4 +2058,18 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val df = sql("SELECT * FROM composite_name WHERE `last name` = 'smith'")
     assert(df.collect.toSet === Set(Row("smith", 1)))
   }
+
+  test("SPARK-45475: saving a table via JDBC should work with observe API") {
+    val tableName = "test_table"
+    val namedObservation = Observation("named")
+    val observed_df = spark.range(100).observe(
+      namedObservation, percentile_approx($"id", lit(0.5), lit(100)).as("percentile_approx_val"))
+
+    observed_df.write.format("jdbc")
+      .option("url", urlWithUserAndPass)
+      .option("dbtable", tableName).save()
+
+    val expected = Map("percentile_approx_val" -> 49)
+    assert(namedObservation.get === expected)
+  }
 }

From 7e3ddc1e582a6e4fa96bab608c4c2bbc2c93b449 Mon Sep 17 00:00:00 2001
From: Jia Fan <fanjiaeminem@qq.com>
Date: Wed, 11 Oct 2023 19:33:23 +0300
Subject: [PATCH 428/986] [SPARK-45433][SQL] Fix CSV/JSON schema inference when
 timestamps do not match specified timestampFormat

### What changes were proposed in this pull request?
This PR fix CSV/JSON schema inference when timestamps do not match specified timestampFormat will report error.
```scala
//eg
val csv = spark.read.option("timestampFormat", "yyyy-MM-dd'T'HH:mm:ss")
  .option("inferSchema", true).csv(Seq("2884-06-24T02:45:51.138").toDS())
csv.show()
//error
Caused by: java.time.format.DateTimeParseException: Text '2884-06-24T02:45:51.138' could not be parsed, unparsed text found at index 19
```
This bug only happend when partition had one row. The data type should be `StringType` not `TimestampType` because the value not match `timestampFormat`.

Use csv as eg, in `CSVInferSchema::tryParseTimestampNTZ`, first, use `timestampNTZFormatter.parseWithoutTimeZoneOptional` to inferring return `TimestampType`, if same partition had another row, it will use `tryParseTimestamp` to parse row with user defined `timestampFormat`, then found it can't be convert to timestamp with `timestampFormat`. Finally return `StringType`. But when only one row, we use `timestampNTZFormatter.parseWithoutTimeZoneOptional` to parse normally timestamp not right. We should only parse it when `spark.sql.timestampType` is `TIMESTAMP_NTZ`. If `spark.sql.timestampType` is `TIMESTAMP_LTZ`, we should directly parse it use `tryParseTimestamp`. To avoid return `TimestampType` when timestamps do not match specified timestampFormat.

### Why are the changes needed?
Fix schema inference bug.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
add new test.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43243 from Hisoka-X/SPARK-45433-inference-mismatch-timestamp-one-row.

Authored-by: Jia Fan <fanjiaeminem@qq.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit eae5c0e1efce83c2bb08754784db070be285285a)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../apache/spark/sql/catalyst/csv/CSVInferSchema.scala |  9 ++++++---
 .../spark/sql/catalyst/json/JsonInferSchema.scala      |  8 +++++---
 .../spark/sql/catalyst/csv/CSVInferSchemaSuite.scala   | 10 ++++++++++
 .../spark/sql/catalyst/json/JsonInferSchemaSuite.scala |  8 ++++++++
 4 files changed, 29 insertions(+), 6 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
index 51586a0065e95..ec01b56f9eb7c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.expressions.ExprUtils
 import org.apache.spark.sql.catalyst.util.{DateFormatter, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 
 class CSVInferSchema(val options: CSVOptions) extends Serializable {
@@ -202,8 +202,11 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable {
     // We can only parse the value as TimestampNTZType if it does not have zone-offset or
     // time-zone component and can be parsed with the timestamp formatter.
     // Otherwise, it is likely to be a timestamp with timezone.
-    if (timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
-      SQLConf.get.timestampType
+    val timestampType = SQLConf.get.timestampType
+    if ((SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
+        timestampType == TimestampNTZType) &&
+        timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
+      timestampType
     } else {
       tryParseTimestamp(field)
     }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
index 5385afe8c9353..4123c5290b6a1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.catalyst.json.JacksonUtils.nextUntil
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
 import org.apache.spark.util.Utils
 
@@ -148,11 +148,13 @@ private[sql] class JsonInferSchema(options: JSONOptions) extends Serializable {
           val bigDecimal = decimalParser(field)
             DecimalType(bigDecimal.precision, bigDecimal.scale)
         }
+        val timestampType = SQLConf.get.timestampType
         if (options.prefersDecimal && decimalTry.isDefined) {
           decimalTry.get
-        } else if (options.inferTimestamp &&
+        } else if (options.inferTimestamp && (SQLConf.get.legacyTimeParserPolicy ==
+          LegacyBehaviorPolicy.LEGACY || timestampType == TimestampNTZType) &&
             timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
-          SQLConf.get.timestampType
+          timestampType
         } else if (options.inferTimestamp &&
             timestampFormatter.parseOptional(field).isDefined) {
           TimestampType
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
index acedf7998c2d5..fb91200557a65 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
@@ -263,4 +263,14 @@ class CSVInferSchemaSuite extends SparkFunSuite with SQLHelper {
     inferSchema = new CSVInferSchema(options)
     assert(inferSchema.inferField(DateType, "2012_12_12") == DateType)
   }
+
+  test("SPARK-45433: inferring the schema when timestamps do not match specified timestampFormat" +
+    " with only one row") {
+    val options = new CSVOptions(
+      Map("timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ss"),
+      columnPruning = false,
+      defaultTimeZoneId = "UTC")
+    val inferSchema = new CSVInferSchema(options)
+    assert(inferSchema.inferField(NullType, "2884-06-24T02:45:51.138") == StringType)
+  }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala
index 8290b38e33934..81a4858dce82a 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala
@@ -112,4 +112,12 @@ class JsonInferSchemaSuite extends SparkFunSuite with SQLHelper {
     checkType(Map("inferTimestamp" -> "true"), json, TimestampType)
     checkType(Map("inferTimestamp" -> "false"), json, StringType)
   }
+
+  test("SPARK-45433: inferring the schema when timestamps do not match specified timestampFormat" +
+    " with only one row") {
+    checkType(
+      Map("timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ss", "inferTimestamp" -> "true"),
+      """{"a": "2884-06-24T02:45:51.138"}""",
+      StringType)
+  }
 }

From 249533bcc8c7fa7f578961ce21d4d7118565dfc1 Mon Sep 17 00:00:00 2001
From: srielau <serge@rielau.com>
Date: Thu, 12 Oct 2023 21:34:49 +0800
Subject: [PATCH 429/986] [SPARK-45132][SQL] Fix IDENTIFIER for function
 invocation

### What changes were proposed in this pull request?

Due to a quirk in the parser, in some cases, IDENTIFIER(<funcStr>)(<arg>) is not properly recognized as a function invocation.

The change is to remove the explicit IDENTIFIER-clause rule in the function invocation grammar and instead recognize
IDENTIFIER(<arg>) within visitFunctionCall.

### Why are the changes needed?

Function invocation support for IDENTIFIER is incomplete otherwise

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added new testcases to identifier-clause.sql

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #42888 from srielau/SPARK-45132.

Lead-authored-by: srielau <serge@rielau.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Co-authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f0b2e6da52113802f64f7879f207064d3bdbc7b0)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/parser/SqlBaseParser.g4      |  2 +-
 .../sql/catalyst/parser/AstBuilder.scala      | 43 +++++++++++--------
 .../identifier-clause.sql.out                 | 28 ++++++++++--
 .../sql-tests/inputs/identifier-clause.sql    |  3 +-
 .../results/identifier-clause.sql.out         | 27 +++++++++++-
 5 files changed, 77 insertions(+), 26 deletions(-)

diff --git a/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4 b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
index 85dbc499fbde5..04128216be073 100644
--- a/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
+++ b/sql/api/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBaseParser.g4
@@ -951,7 +951,6 @@ primaryExpression
     | qualifiedName DOT ASTERISK                                                               #star
     | LEFT_PAREN namedExpression (COMMA namedExpression)+ RIGHT_PAREN                          #rowConstructor
     | LEFT_PAREN query RIGHT_PAREN                                                             #subqueryExpression
-    | IDENTIFIER_KW LEFT_PAREN expression RIGHT_PAREN                                          #identifierClause
     | functionName LEFT_PAREN (setQuantifier? argument+=functionArgument
        (COMMA argument+=functionArgument)*)? RIGHT_PAREN
        (FILTER LEFT_PAREN WHERE where=booleanExpression RIGHT_PAREN)?
@@ -1176,6 +1175,7 @@ qualifiedNameList
 
 functionName
     : IDENTIFIER_KW LEFT_PAREN expression RIGHT_PAREN
+    | identFunc=IDENTIFIER_KW   // IDENTIFIER itself is also a valid function name.
     | qualifiedName
     | FILTER
     | LEFT
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index 83938632e534f..b80ea8fddcfe2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -2223,13 +2223,6 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
     }
   }
 
-  /**
-   * Create an expression for the IDENTIFIER() clause.
-   */
-  override def visitIdentifierClause(ctx: IdentifierClauseContext): Expression = withOrigin(ctx) {
-    ExpressionWithUnresolvedIdentifier(expression(ctx.expression), UnresolvedAttribute(_))
-  }
-
   /**
    * Create a (windowed) Function expression.
    */
@@ -2251,19 +2244,31 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
     val filter = Option(ctx.where).map(expression(_))
     val ignoreNulls =
       Option(ctx.nullsOption).map(_.getType == SqlBaseParser.IGNORE).getOrElse(false)
-    val funcCtx = ctx.functionName
-    val func = withFuncIdentClause(
-      funcCtx,
-      ident => UnresolvedFunction(ident, arguments, isDistinct, filter, ignoreNulls)
-    )
 
-    // Check if the function is evaluated in a windowed context.
-    ctx.windowSpec match {
-      case spec: WindowRefContext =>
-        UnresolvedWindowExpression(func, visitWindowRef(spec))
-      case spec: WindowDefContext =>
-        WindowExpression(func, visitWindowDef(spec))
-      case _ => func
+    // Is this an IDENTIFIER clause instead of a function call?
+    if (ctx.functionName.identFunc != null &&
+      arguments.length == 1 && // One argument
+      ctx.setQuantifier == null && // No other clause
+      ctx.where == null &&
+      ctx.nullsOption == null &&
+      ctx.windowSpec == null) {
+      ExpressionWithUnresolvedIdentifier(arguments.head, UnresolvedAttribute(_))
+    } else {
+      // It's a function call
+      val funcCtx = ctx.functionName
+      val func = withFuncIdentClause(
+        funcCtx,
+        ident => UnresolvedFunction(ident, arguments, isDistinct, filter, ignoreNulls)
+      )
+
+      // Check if the function is evaluated in a windowed context.
+      ctx.windowSpec match {
+        case spec: WindowRefContext =>
+          UnresolvedWindowExpression(func, visitWindowRef(spec))
+        case spec: WindowDefContext =>
+          WindowExpression(func, visitWindowDef(spec))
+        case _ => func
+      }
     }
   }
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
index 00e2d8ff8ae75..f91d0a26cf8a4 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
@@ -187,10 +187,11 @@ Project [coalesce(cast(null as int), 1) AS coalesce(NULL, 1)#x]
 
 
 -- !query
-SELECT IDENTIFIER('abs')(-1)
+SELECT IDENTIFIER('abs')(c1) FROM VALUES(-1) AS T(c1)
 -- !query analysis
-Project [abs(-1) AS abs(-1)#x]
-+- OneRowRelation
+Project [abs(c1#x) AS abs(c1)#x]
++- SubqueryAlias T
+   +- LocalRelation [c1#x]
 
 
 -- !query
@@ -664,6 +665,27 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+SELECT `IDENTIFIER`('abs')(c1) FROM VALUES(-1) AS T(c1)
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNRESOLVED_ROUTINE",
+  "sqlState" : "42883",
+  "messageParameters" : {
+    "routineName" : "`IDENTIFIER`",
+    "searchPath" : "[`system`.`builtin`, `system`.`session`, `spark_catalog`.`default`]"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 26,
+    "fragment" : "`IDENTIFIER`('abs')"
+  } ]
+}
+
+
 -- !query
 CREATE TABLE IDENTIFIER(1)(c1 INT)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
index a1bd500455de9..07ae157072938 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
@@ -36,7 +36,7 @@ DROP SCHEMA s;
 
 -- Function reference
 SELECT IDENTIFIER('COAL' || 'ESCE')(NULL, 1);
-SELECT IDENTIFIER('abs')(-1);
+SELECT IDENTIFIER('abs')(c1) FROM VALUES(-1) AS T(c1);
 SELECT * FROM IDENTIFIER('ra' || 'nge')(0, 1);
 
 -- Table DDL
@@ -107,6 +107,7 @@ SELECT IDENTIFIER('') FROM VALUES(1) AS T(``);
 VALUES(IDENTIFIER(CAST(NULL AS STRING)));
 VALUES(IDENTIFIER(1));
 VALUES(IDENTIFIER(SUBSTR('HELLO', 1, RAND() + 1)));
+SELECT `IDENTIFIER`('abs')(c1) FROM VALUES(-1) AS T(c1);
 
 CREATE TABLE IDENTIFIER(1)(c1 INT);
 CREATE TABLE IDENTIFIER('a.b.c')(c1 INT);
diff --git a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
index 8eabb74da97ba..ed87f69fc5e6b 100644
--- a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
@@ -205,9 +205,9 @@ struct<coalesce(NULL, 1):int>
 
 
 -- !query
-SELECT IDENTIFIER('abs')(-1)
+SELECT IDENTIFIER('abs')(c1) FROM VALUES(-1) AS T(c1)
 -- !query schema
-struct<abs(-1):int>
+struct<abs(c1):int>
 -- !query output
 1
 
@@ -770,6 +770,29 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+SELECT `IDENTIFIER`('abs')(c1) FROM VALUES(-1) AS T(c1)
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "UNRESOLVED_ROUTINE",
+  "sqlState" : "42883",
+  "messageParameters" : {
+    "routineName" : "`IDENTIFIER`",
+    "searchPath" : "[`system`.`builtin`, `system`.`session`, `spark_catalog`.`default`]"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 26,
+    "fragment" : "`IDENTIFIER`('abs')"
+  } ]
+}
+
+
 -- !query
 CREATE TABLE IDENTIFIER(1)(c1 INT)
 -- !query schema

From b5f3dc9e76082a81357555ace0c489df97e6f81a Mon Sep 17 00:00:00 2001
From: mayurb <mayurb@uber.com>
Date: Fri, 13 Oct 2023 10:17:56 +0800
Subject: [PATCH 430/986] =?UTF-8?q?[SPARK-45498][CORE]=20Followup:=20Ignor?=
 =?UTF-8?q?e=20task=20completion=20from=20old=20stage=20a=E2=80=A6?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
With [SPARK-45182](https://issues.apache.org/jira/browse/SPARK-45182), we added a fix for not letting laggard tasks of the older attempts of the indeterminate stage from marking the partition has completed in the map output tracker.

When a task is completed, the DAG scheduler also notifies all the task sets of the stage about that partition being completed. Tasksets would not schedule such tasks if they are not already scheduled. This is not correct for the indeterminate stage, since we want to re-run all the tasks on a re-attempt

### Why are the changes needed?
Since the partition is not completed by older attempts and the partition from the newer attempt also doesn't get scheduled, the stage will have to be rescheduled to complete that partition. Since the stage is indeterminate, all the partitions will be recomputed

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added check in existing unit test

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43326 from mayurdb/indeterminateFix.

Authored-by: mayurb <mayurb@uber.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit fb3b707bc1c875c14ff7c6e7a3f39b5c4b852c86)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../scala/org/apache/spark/scheduler/DAGScheduler.scala     | 6 +++---
 .../org/apache/spark/scheduler/DAGSchedulerSuite.scala      | 5 ++++-
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
index d73bb6339015b..d8adaae19b90d 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
@@ -1847,9 +1847,9 @@ private[spark] class DAGScheduler(
       case Success =>
         // An earlier attempt of a stage (which is zombie) may still have running tasks. If these
         // tasks complete, they still count and we can mark the corresponding partitions as
-        // finished. Here we notify the task scheduler to skip running tasks for the same partition,
-        // to save resource.
-        if (task.stageAttemptId < stage.latestInfo.attemptNumber()) {
+        // finished if the stage is determinate. Here we notify the task scheduler to skip running
+        // tasks for the same partition to save resource.
+        if (!stage.isIndeterminate && task.stageAttemptId < stage.latestInfo.attemptNumber()) {
           taskScheduler.notifyPartitionCompletion(stageId, task.partitionId)
         }
 
diff --git a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
index e351f8b95bbb0..9b7c5d5ace314 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
@@ -3169,13 +3169,16 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
       makeMapStatus("hostB",
         2)))
 
-    // The second task of the  shuffle map stage 1 from 1st attempt succeeds
+    // The second task of the shuffle map stage 1 from 1st attempt succeeds
     runEvent(makeCompletionEvent(
       taskSets(1).tasks(1),
       Success,
       makeMapStatus("hostC",
         2)))
 
+    // Above task completion should not mark the partition 1 complete from 2nd attempt
+    assert(!tasksMarkedAsCompleted.contains(taskSets(3).tasks(1)))
+
     // This task completion should get ignored and partition 1 should be missing
     // for shuffle map stage 1
     assert(mapOutputTracker.findMissingPartitions(shuffleId2) == Some(Seq(1)))

From 370717702c9e7236aab4ea7135d8085cd4792e99 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 13 Oct 2023 14:05:23 +0800
Subject: [PATCH 431/986] [SPARK-45532][DOCS] Restore codetabs for the Protobuf
 Data Source Guide

### What changes were proposed in this pull request?

This PR restores the [Protobuf Data Source Guide](https://spark.apache.org/docs/latest/sql-data-sources-protobuf.html#python)'s code tabs which https://github.com/apache/spark/pull/40614 removed for markdown syntax fixes

In this PR, we introduce a hidden div to hold the code-block marker of markdown, then make both the liquid and markdown happy.

### Why are the changes needed?

improve doc readability and consistency.

### Does this PR introduce _any_ user-facing change?

yes, doc change

### How was this patch tested?

#### Doc build

![image](https://github.com/apache/spark/assets/8326978/8aefeee0-92b2-4048-a3f6-108e4c3f309d)

#### markdown editor and view

![image](https://github.com/apache/spark/assets/8326978/283b0820-390a-4540-8713-647c40f956ac)

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43361 from yaooqinn/SPARK-45532.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 0257b77528a3a0d0ba08df5363470e4bc5928b06)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/sql-data-sources-protobuf.md | 243 ++++++++++++++++++------------
 1 file changed, 150 insertions(+), 93 deletions(-)

diff --git a/docs/sql-data-sources-protobuf.md b/docs/sql-data-sources-protobuf.md
index f92a8f20b3570..c8ee139e344fe 100644
--- a/docs/sql-data-sources-protobuf.md
+++ b/docs/sql-data-sources-protobuf.md
@@ -18,7 +18,10 @@ license: |
   limitations under the License.
 ---
 
-Since Spark 3.4.0 release, [Spark SQL](https://spark.apache.org/docs/latest/sql-programming-guide.html) provides built-in support for reading and writing protobuf data.
+* This will become a table of contents (this text will be scraped).
+{:toc}
+
+Since Spark 3.4.0 release, [Spark SQL](sql-programming-guide.html) provides built-in support for reading and writing protobuf data.
 
 ## Deploying
 The `spark-protobuf` module is external and not included in `spark-submit` or `spark-shell` by default.
@@ -46,45 +49,53 @@ Kafka key-value record will be augmented with some metadata, such as the ingesti
 
 Spark SQL schema is generated based on the protobuf descriptor file or protobuf class passed to `from_protobuf` and `to_protobuf`. The specified protobuf class or protobuf descriptor file must match the data, otherwise, the behavior is undefined: it may fail or return arbitrary results.
 
-### Python
+<div class="codetabs">
+
+<div data-lang="python" markdown="1">
+
+<div class="d-none">
+This div is only used to make markdown editor/viewer happy and does not display on web
+
 ```python
+</div>
+
+{% highlight python %}
+
 from pyspark.sql.protobuf.functions import from_protobuf, to_protobuf
 
-# `from_protobuf` and `to_protobuf` provides two schema choices. Via Protobuf descriptor file,
+# from_protobuf and to_protobuf provide two schema choices. Via Protobuf descriptor file,
 # or via shaded Java class.
 # give input .proto protobuf schema
-# syntax  = "proto3"
+# syntax = "proto3"
 # message AppEvent {
-#  string name = 1;
-#  int64 id = 2;
-#  string context = 3;
+#   string name = 1;
+#   int64 id = 2;
+#   string context = 3;
 # }
-
-df = spark\
-.readStream\
-.format("kafka")\
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")\
-.option("subscribe", "topic1")\
-.load()
+df = spark
+  .readStream
+  .format("kafka")\
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("subscribe", "topic1")
+  .load()
 
 # 1. Decode the Protobuf data of schema `AppEvent` into a struct;
 # 2. Filter by column `name`;
 # 3. Encode the column `event` in Protobuf format.
 # The Protobuf protoc command can be used to generate a protobuf descriptor file for give .proto file.
-output = df\
-.select(from_protobuf("value", "AppEvent", descriptorFilePath).alias("event"))\
-.where('event.name == "alice"')\
-.select(to_protobuf("event", "AppEvent", descriptorFilePath).alias("event"))
+output = df
+  .select(from_protobuf("value", "AppEvent", descriptorFilePath).alias("event"))
+  .where('event.name == "alice"')
+  .select(to_protobuf("event", "AppEvent", descriptorFilePath).alias("event"))
 
 # Alternatively, you can decode and encode the SQL columns into protobuf format using protobuf
 # class name. The specified Protobuf class must match the data, otherwise the behavior is undefined:
 # it may fail or return arbitrary result. To avoid conflicts, the jar file containing the
 # 'com.google.protobuf.*' classes should be shaded. An example of shading can be found at
 # https://github.com/rangadi/shaded-protobuf-classes.
-
-output = df\
-.select(from_protobuf("value", "org.sparkproject.spark_protobuf.protobuf.AppEvent").alias("event"))\
-.where('event.name == "alice"')
+output = df
+  .select(from_protobuf("value", "org.sparkproject.spark_protobuf.protobuf.AppEvent").alias("event"))
+  .where('event.name == "alice"')
 
 output.printSchema()
 # root
@@ -94,52 +105,66 @@ output.printSchema()
 #  |   |-- context: string (nullable = true)
 
 output = output
-.select(to_protobuf("event", "org.sparkproject.spark_protobuf.protobuf.AppEvent").alias("event"))
-
-query = output\
-.writeStream\
-.format("kafka")\
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")\
-.option("topic", "topic2")\
-.start()
+  .select(to_protobuf("event", "org.sparkproject.spark_protobuf.protobuf.AppEvent").alias("event"))
+
+query = output
+  .writeStream
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")\
+  .option("topic", "topic2")
+  .start()
+
+{% endhighlight %}
+
+<div class="d-none">
 ```
+</div>
+
+</div>
+
+<div data-lang="scala" markdown="1">
+
+<div class="d-none">
+This div is only used to make markdown editor/viewer happy and does not display on web
 
-### Scala
 ```scala
+</div>
+
+{% highlight scala %}
 import org.apache.spark.sql.protobuf.functions._
 
-// `from_protobuf` and `to_protobuf` provides two schema choices. Via Protobuf descriptor file,
+// `from_protobuf` and `to_protobuf` provides two schema choices. Via the protobuf descriptor file,
 // or via shaded Java class.
 // give input .proto protobuf schema
-// syntax  = "proto3"
+// syntax = "proto3"
 // message AppEvent {
-//    string name = 1;
-//    int64 id = 2;
-//    string context = 3;
+//   string name = 1;
+//   int64 id = 2;
+//   string context = 3;
 // }
 
 val df = spark
-.readStream
-.format("kafka")
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
-.option("subscribe", "topic1")
-.load()
+  .readStream
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("subscribe", "topic1")
+  .load()
 
 // 1. Decode the Protobuf data of schema `AppEvent` into a struct;
 // 2. Filter by column `name`;
 // 3. Encode the column `event` in Protobuf format.
 // The Protobuf protoc command can be used to generate a protobuf descriptor file for give .proto file.
 val output = df
-.select(from_protobuf($"value", "AppEvent", descriptorFilePath) as $"event")
-.where("event.name == \"alice\"")
-.select(to_protobuf($"user", "AppEvent", descriptorFilePath) as $"event")
+  .select(from_protobuf($"value", "AppEvent", descriptorFilePath) as $"event")
+  .where("event.name == \"alice\"")
+  .select(to_protobuf($"user", "AppEvent", descriptorFilePath) as $"event")
 
 val query = output
-.writeStream
-.format("kafka")
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
-.option("topic", "topic2")
-.start()
+  .writeStream
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("topic", "topic2")
+  .start()
 
 // Alternatively, you can decode and encode the SQL columns into protobuf format using protobuf
 // class name. The specified Protobuf class must match the data, otherwise the behavior is undefined:
@@ -147,8 +172,8 @@ val query = output
 // 'com.google.protobuf.*' classes should be shaded. An example of shading can be found at
 // https://github.com/rangadi/shaded-protobuf-classes.
 var output = df
-.select(from_protobuf($"value", "org.example.protos..AppEvent") as $"event")
-.where("event.name == \"alice\"")
+  .select(from_protobuf($"value", "org.example.protos..AppEvent") as $"event")
+  .where("event.name == \"alice\"")
 
 output.printSchema()
 // root
@@ -160,43 +185,56 @@ output.printSchema()
 output = output.select(to_protobuf($"event", "org.sparkproject.spark_protobuf.protobuf.AppEvent") as $"event")
 
 val query = output
-.writeStream
-.format("kafka")
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
-.option("topic", "topic2")
-.start()
+  .writeStream
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("topic", "topic2")
+  .start()
+
+{% endhighlight %}
+
+<div class="d-none">
 ```
+</div>
+</div>
+
+<div data-lang="java" markdown="1">
+
+<div class="d-none">
+This div is only used to make markdown editor/viewer happy and does not display on web
 
-### Java
 ```java
+</div>
+
+{% highlight java %}
 import static org.apache.spark.sql.functions.col;
 import static org.apache.spark.sql.protobuf.functions.*;
 
-// `from_protobuf` and `to_protobuf` provides two schema choices. Via Protobuf descriptor file,
+// `from_protobuf` and `to_protobuf` provides two schema choices. Via the protobuf descriptor file,
 // or via shaded Java class.
 // give input .proto protobuf schema
-// syntax  = "proto3"
+// syntax = "proto3"
 // message AppEvent {
-//  string name = 1;
-//  int64 id = 2;
-//  string context = 3;
+//   string name = 1;
+//   int64 id = 2;
+//   string context = 3;
 // }
 
 Dataset<Row> df = spark
-.readStream()
-.format("kafka")
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
-.option("subscribe", "topic1")
-.load();
+  .readStream()
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("subscribe", "topic1")
+  .load();
 
 // 1. Decode the Protobuf data of schema `AppEvent` into a struct;
 // 2. Filter by column `name`;
 // 3. Encode the column `event` in Protobuf format.
 // The Protobuf protoc command can be used to generate a protobuf descriptor file for give .proto file.
 Dataset<Row> output = df
-.select(from_protobuf(col("value"), "AppEvent", descriptorFilePath).as("event"))
-.where("event.name == \"alice\"")
-.select(to_protobuf(col("event"), "AppEvent", descriptorFilePath).as("event"));
+  .select(from_protobuf(col("value"), "AppEvent", descriptorFilePath).as("event"))
+  .where("event.name == \"alice\"")
+  .select(to_protobuf(col("event"), "AppEvent", descriptorFilePath).as("event"));
 
 // Alternatively, you can decode and encode the SQL columns into protobuf format using protobuf
 // class name. The specified Protobuf class must match the data, otherwise the behavior is undefined:
@@ -204,10 +242,10 @@ Dataset<Row> output = df
 // 'com.google.protobuf.*' classes should be shaded. An example of shading can be found at
 // https://github.com/rangadi/shaded-protobuf-classes.
 Dataset<Row> output = df
-.select(
-  from_protobuf(col("value"),
-  "org.sparkproject.spark_protobuf.protobuf.AppEvent").as("event"))
-.where("event.name == \"alice\"")
+  .select(
+    from_protobuf(col("value"),
+    "org.sparkproject.spark_protobuf.protobuf.AppEvent").as("event"))
+  .where("event.name == \"alice\"")
 
 output.printSchema()
 // root
@@ -221,19 +259,28 @@ output = output.select(
   "org.sparkproject.spark_protobuf.protobuf.AppEvent").as("event"));
 
 StreamingQuery query = output
-.writeStream()
-.format("kafka")
-.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
-.option("topic", "topic2")
-.start();
+  .writeStream()
+  .format("kafka")
+  .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+  .option("topic", "topic2")
+  .start();
+
+{% endhighlight %}
+
+<div class="d-none">
 ```
+</div>
+</div>
+
+</div>
 
 ## Supported types for Protobuf -> Spark SQL conversion
+
 Currently Spark supports reading [protobuf scalar types](https://developers.google.com/protocol-buffers/docs/proto3#scalar), [enum types](https://developers.google.com/protocol-buffers/docs/proto3#enum), [nested type](https://developers.google.com/protocol-buffers/docs/proto3#nested), and [maps type](https://developers.google.com/protocol-buffers/docs/proto3#maps) under messages of Protobuf.
 In addition to the these types, `spark-protobuf` also introduces support for Protobuf `OneOf` fields. which allows you to handle messages that can have multiple possible sets of fields, but only one set can be present at a time. This is useful for situations where the data you are working with is not always in the same format, and you need to be able to handle messages with different sets of fields without encountering errors.
 
-<table class="table">
-  <tr><th><b>Protobuf type</b></th><th><b>Spark SQL type</b></th></tr>
+<table class="table table-striped">
+  <thead><tr><th><b>Protobuf type</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
     <td>boolean</td>
     <td>BooleanType</td>
@@ -282,16 +329,12 @@ In addition to the these types, `spark-protobuf` also introduces support for Pro
     <td>OneOf</td>
     <td>Struct</td>
   </tr>
-  <tr>
-    <td>Any</td>
-    <td>StructType</td>
-  </tr>
 </table>
 
 It also supports reading the following Protobuf types [Timestamp](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#timestamp) and [Duration](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#duration)
 
-<table class="table">
-  <tr><th><b>Protobuf logical type</b></th><th><b>Protobuf schema</b></th><th><b>Spark SQL type</b></th></tr>
+<table class="table table-striped">
+  <thead><tr><th><b>Protobuf logical type</b></th><th><b>Protobuf schema</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
     <td>duration</td>
     <td>MessageType{seconds: Long, nanos: Int}</td>
@@ -305,10 +348,11 @@ It also supports reading the following Protobuf types [Timestamp](https://develo
 </table>
 
 ## Supported types for Spark SQL -> Protobuf conversion
+
 Spark supports the writing of all Spark SQL types into Protobuf. For most types, the mapping from Spark types to Protobuf types is straightforward (e.g. IntegerType gets converted to int);
 
-<table class="table">
-  <tr><th><b>Spark SQL type</b></th><th><b>Protobuf type</b></th></tr>
+<table class="table table-striped">
+  <thead><tr><th><b>Spark SQL type</b></th><th><b>Protobuf type</b></th></tr></thead>
   <tr>
     <td>BooleanType</td>
     <td>boolean</td>
@@ -356,15 +400,23 @@ Spark supports the writing of all Spark SQL types into Protobuf. For most types,
 </table>
 
 ## Handling circular references protobuf fields
+
 One common issue that can arise when working with Protobuf data is the presence of circular references. In Protobuf, a circular reference occurs when a field refers back to itself or to another field that refers back to the original field. This can cause issues when parsing the data, as it can result in infinite loops or other unexpected behavior.
-To address this issue, the latest version of spark-protobuf introduces a new feature: the ability to check for circular references through field types. This allows users use the `recursive.fields.max.depth` option to specify the maximum number of levels of recursion to allow when parsing the schema. By default, `spark-protobuf` will not permit recursive fields by setting `recursive.fields.max.depth` to -1. However, you can set this option to 0 to 10 if needed. 
+To address this issue, the latest version of spark-protobuf introduces a new feature: the ability to check for circular references through field types. This allows users use the `recursive.fields.max.depth` option to specify the maximum number of levels of recursion to allow when parsing the schema. By default, `spark-protobuf` will not permit recursive fields by setting `recursive.fields.max.depth` to -1. However, you can set this option to 0 to 10 if needed.
 
 Setting `recursive.fields.max.depth` to 0 drops all recursive fields, setting it to 1 allows it to be recursed once, and setting it to 2 allows it to be recursed twice. A `recursive.fields.max.depth` value greater than 10 is not allowed, as it can lead to performance issues and even stack overflows.
 
 SQL Schema for the below protobuf message will vary based on the value of `recursive.fields.max.depth`.
 
-```proto
-syntax  = "proto3"
+<div data-lang="proto" markdown="1">
+<div class="d-none">
+This div is only used to make markdown editor/viewer happy and does not display on web
+
+```protobuf
+</div>
+
+{% highlight protobuf %}
+syntax = "proto3"
 message Person {
   string name = 1;
   Person bff = 2
@@ -376,4 +428,9 @@ message Person {
 0: struct<name: string, bff: null>
 1: struct<name string, bff: <name: string, bff: null>>
 2: struct<name string, bff: <name: string, bff: struct<name: string, bff: null>>> ...
-```
\ No newline at end of file
+
+{% endhighlight %}
+<div class="d-none">
+```
+</div>
+</div>
\ No newline at end of file

From e8d7497abadd0bccb4bd8e615aadc77fc2038566 Mon Sep 17 00:00:00 2001
From: Bobby Wang <wbo4958@gmail.com>
Date: Fri, 13 Oct 2023 10:50:18 -0500
Subject: [PATCH 432/986] [SPARK-45495][CORE] Support stage level task resource
 profile for k8s cluster when dynamic allocation disabled

### What changes were proposed in this pull request?
This PR is a follow-up of https://github.com/apache/spark/pull/37268 which supports stage-level task resource profile for standalone cluster when dynamic allocation is disabled. This PR enables stage-level task resource profile for the Kubernetes cluster.

### Why are the changes needed?

Users who work on spark ML/DL cases running on Kubernetes would expect stage-level task resource profile feature.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

The current tests of https://github.com/apache/spark/pull/37268 can also cover this PR since both Kubernetes and standalone cluster share the same TaskSchedulerImpl class which implements this feature. Apart from that, modifying the existing test to cover the Kubernetes cluster. Apart from that, I also performed some manual tests which have been updated in the comments.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43323 from wbo4958/k8s-stage-level.

Authored-by: Bobby Wang <wbo4958@gmail.com>
Signed-off-by: Thomas Graves <tgraves@apache.org>
(cherry picked from commit 632eabdb6dfb78c0a5dc84c01806548e1dc6dd0a)
Signed-off-by: Thomas Graves <tgraves@apache.org>
---
 .../apache/spark/resource/ResourceProfileManager.scala   | 7 ++++---
 .../spark/resource/ResourceProfileManagerSuite.scala     | 9 +++++++--
 docs/configuration.md                                    | 2 +-
 docs/running-on-kubernetes.md                            | 4 +++-
 4 files changed, 15 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala b/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
index cd7124a572464..afbacb8013645 100644
--- a/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
+++ b/core/src/main/scala/org/apache/spark/resource/ResourceProfileManager.scala
@@ -67,9 +67,10 @@ private[spark] class ResourceProfileManager(sparkConf: SparkConf,
    */
   private[spark] def isSupported(rp: ResourceProfile): Boolean = {
     if (rp.isInstanceOf[TaskResourceProfile] && !dynamicEnabled) {
-      if ((notRunningUnitTests || testExceptionThrown) && !(isStandaloneOrLocalCluster || isYarn)) {
-        throw new SparkException("TaskResourceProfiles are only supported for Standalone and " +
-          "Yarn cluster for now when dynamic allocation is disabled.")
+      if ((notRunningUnitTests || testExceptionThrown) &&
+        !(isStandaloneOrLocalCluster || isYarn || isK8s)) {
+        throw new SparkException("TaskResourceProfiles are only supported for Standalone, " +
+          "Yarn and Kubernetes cluster for now when dynamic allocation is disabled.")
       }
     } else {
       val isNotDefaultProfile = rp.id != ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID
diff --git a/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala b/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
index 77dc7bcb4c56e..7149267583bc5 100644
--- a/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/resource/ResourceProfileManagerSuite.scala
@@ -137,8 +137,8 @@ class ResourceProfileManagerSuite extends SparkFunSuite {
     val error = intercept[SparkException] {
       rpmanager.isSupported(taskProf)
     }.getMessage
-    assert(error === "TaskResourceProfiles are only supported for Standalone " +
-      "and Yarn cluster for now when dynamic allocation is disabled.")
+    assert(error === "TaskResourceProfiles are only supported for Standalone, " +
+      "Yarn and Kubernetes cluster for now when dynamic allocation is disabled.")
 
     // Local cluster: supports task resource profile.
     conf.setMaster("local-cluster[1, 1, 1024]")
@@ -149,6 +149,11 @@ class ResourceProfileManagerSuite extends SparkFunSuite {
     conf.setMaster("yarn")
     rpmanager = new ResourceProfileManager(conf, listenerBus)
     assert(rpmanager.isSupported(taskProf))
+
+    // K8s: supports task resource profile.
+    conf.setMaster("k8s://foo")
+    rpmanager = new ResourceProfileManager(conf, listenerBus)
+    assert(rpmanager.isSupported(taskProf))
   }
 
   test("isSupported task resource profiles with dynamic allocation enabled") {
diff --git a/docs/configuration.md b/docs/configuration.md
index 74ddd6df0233c..4b0b9b3e3c260 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -3670,7 +3670,7 @@ See your cluster manager specific page for requirements and details on each of -
 # Stage Level Scheduling Overview
 
 The stage level scheduling feature allows users to specify task and executor resource requirements at the stage level. This allows for different stages to run with executors that have different resources. A prime example of this is one ETL stage runs with executors with just CPUs, the next stage is an ML stage that needs GPUs. Stage level scheduling allows for user to request different executors that have GPUs when the ML stage runs rather then having to acquire executors with GPUs at the start of the application and them be idle while the ETL stage is being run.
-This is only available for the RDD API in Scala, Java, and Python.  It is available on YARN, Kubernetes and Standalone when dynamic allocation is enabled. When dynamic allocation is disabled, it allows users to specify different task resource requirements at stage level, and this is supported on YARN and Standalone cluster right now. See the [YARN](running-on-yarn.html#stage-level-scheduling-overview) page or [Kubernetes](running-on-kubernetes.html#stage-level-scheduling-overview) page or [Standalone](spark-standalone.html#stage-level-scheduling-overview) page for more implementation details.
+This is only available for the RDD API in Scala, Java, and Python.  It is available on YARN, Kubernetes and Standalone when dynamic allocation is enabled. When dynamic allocation is disabled, it allows users to specify different task resource requirements at stage level, and this is supported on YARN, Kubernetes and Standalone cluster right now. See the [YARN](running-on-yarn.html#stage-level-scheduling-overview) page or [Kubernetes](running-on-kubernetes.html#stage-level-scheduling-overview) page or [Standalone](spark-standalone.html#stage-level-scheduling-overview) page for more implementation details.
 
 See the `RDD.withResources` and `ResourceProfileBuilder` API's for using this feature. When dynamic allocation is disabled, tasks with different task resource requirements will share executors with `DEFAULT_RESOURCE_PROFILE`. While when dynamic allocation is enabled, the current implementation acquires new executors for each `ResourceProfile`  created and currently has to be an exact match. Spark does not try to fit tasks into an executor that require a different ResourceProfile than the executor was created with. Executors that are not in use will idle timeout with the dynamic allocation logic. The default configuration for this feature is to only allow one ResourceProfile per stage. If the user associates more then 1 ResourceProfile to an RDD, Spark will throw an exception by default. See config `spark.scheduler.resource.profileMergeConflicts` to control that behavior. The current merge strategy Spark implements when `spark.scheduler.resource.profileMergeConflicts` is enabled is a simple max of each resource within the conflicting ResourceProfiles. Spark will create a new ResourceProfile with the max of each of the resources.
 
diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index 707a76196f3ab..38a745f1afca3 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1936,5 +1936,7 @@ With the above configuration, the job will be scheduled by YuniKorn scheduler in
 
 ### Stage Level Scheduling Overview
 
-Stage level scheduling is supported on Kubernetes when dynamic allocation is enabled. This also requires <code>spark.dynamicAllocation.shuffleTracking.enabled</code> to be enabled since Kubernetes doesn't support an external shuffle service at this time. The order in which containers for different profiles is requested from Kubernetes is not guaranteed. Note that since dynamic allocation on Kubernetes requires the shuffle tracking feature, this means that executors from previous stages that used a different ResourceProfile may not idle timeout due to having shuffle data on them. This could result in using more cluster resources and in the worst case if there are no remaining resources on the Kubernetes cluster then Spark could potentially hang. You may consider looking at config <code>spark.dynamicAllocation.shuffleTracking.timeout</code> to set a timeout, but that could result in data having to be recomputed if the shuffle data is really needed.
+Stage level scheduling is supported on Kubernetes:
+- When dynamic allocation is disabled: It allows users to specify different task resource requirements at the stage level and will use the same executors requested at startup.
+- When dynamic allocation is enabled: It allows users to specify task and executor resource requirements at the stage level and will request the extra executors. This also requires <code>spark.dynamicAllocation.shuffleTracking.enabled</code> to be enabled since Kubernetes doesn't support an external shuffle service at this time. The order in which containers for different profiles is requested from Kubernetes is not guaranteed. Note that since dynamic allocation on Kubernetes requires the shuffle tracking feature, this means that executors from previous stages that used a different ResourceProfile may not idle timeout due to having shuffle data on them. This could result in using more cluster resources and in the worst case if there are no remaining resources on the Kubernetes cluster then Spark could potentially hang. You may consider looking at config <code>spark.dynamicAllocation.shuffleTracking.timeout</code> to set a timeout, but that could result in data having to be recomputed if the shuffle data is really needed.
 Note, there is a difference in the way pod template resources are handled between the base default profile and custom ResourceProfiles. Any resources specified in the pod template file will only be used with the base default profile. If you create custom ResourceProfiles be sure to include all necessary resources there since the resources from the template file will not be propagated to custom ResourceProfiles.

From 146fba1a22e3f1555f3e4494522810030f9a7854 Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Fri, 13 Oct 2023 13:29:45 +0800
Subject: [PATCH 433/986] [SPARK-45508][CORE] Add
 "--add-opens=java.base/jdk.internal.ref=ALL-UNNAMED" so Platform can access
 Cleaner on Java 9+

This PR adds `--add-opens=java.base/jdk.internal.ref=ALL-UNNAMED` to our JVM flags so that we can access `jdk.internal.ref.Cleaner` in JDK 9+.

This allows Spark to allocate direct memory while ignoring the JVM's MaxDirectMemorySize limit. Spark uses JDK internal APIs to directly construct DirectByteBuffers while bypassing that limit, but there is a fallback path at https://github.com/apache/spark/blob/v3.5.0/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java#L213 that is used if we cannot reflectively access the `Cleaner` API.

No.

Added a unit test in `PlatformUtilSuite`.

No.

Closes #43344 from JoshRosen/SPARK-45508.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 96bac6c033b5bb37101ebcd8436ab9a84db8e092)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/java/org/apache/spark/unsafe/Platform.java    | 7 ++++++-
 .../java/org/apache/spark/unsafe/PlatformUtilSuite.java    | 7 +++++++
 .../java/org/apache/spark/launcher/JavaModuleOptions.java  | 1 +
 pom.xml                                                    | 1 +
 project/SparkBuild.scala                                   | 1 +
 5 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java b/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
index a91ea2ee6b5a8..e02346c477375 100644
--- a/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
+++ b/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
@@ -96,7 +96,7 @@ public final class Platform {
         Method createMethod = cleanerClass.getMethod("create", Object.class, Runnable.class);
         // Accessing jdk.internal.ref.Cleaner should actually fail by default in JDK 9+,
         // unfortunately, unless the user has allowed access with something like
-        // --add-opens java.base/java.lang=ALL-UNNAMED  If not, we can't really use the Cleaner
+        // --add-opens java.base/jdk.internal.ref=ALL-UNNAMED  If not, we can't use the Cleaner
         // hack below. It doesn't break, just means the user might run into the default JVM limit
         // on off-heap memory and increase it or set the flag above. This tests whether it's
         // available:
@@ -118,6 +118,11 @@ public final class Platform {
     }
   }
 
+  // Visible for testing
+  public static boolean cleanerCreateMethodIsDefined() {
+    return CLEANER_CREATE_METHOD != null;
+  }
+
   /**
    * @return true when running JVM is having sun's Unsafe package available in it and underlying
    *         system having unaligned-access capability.
diff --git a/common/unsafe/src/test/java/org/apache/spark/unsafe/PlatformUtilSuite.java b/common/unsafe/src/test/java/org/apache/spark/unsafe/PlatformUtilSuite.java
index c59878fea9941..c99f2d85f4e54 100644
--- a/common/unsafe/src/test/java/org/apache/spark/unsafe/PlatformUtilSuite.java
+++ b/common/unsafe/src/test/java/org/apache/spark/unsafe/PlatformUtilSuite.java
@@ -157,4 +157,11 @@ public void heapMemoryReuse() {
     Assert.assertEquals(1024 * 1024 + 7, onheap4.size());
     Assert.assertEquals(obj3, onheap4.getBaseObject());
   }
+
+  @Test
+  public void cleanerCreateMethodIsDefined() {
+    // Regression test for SPARK-45508: we don't expect the "no cleaner" fallback
+    // path to be hit in normal usage.
+    Assert.assertTrue(Platform.cleanerCreateMethodIsDefined());
+  }
 }
diff --git a/launcher/src/main/java/org/apache/spark/launcher/JavaModuleOptions.java b/launcher/src/main/java/org/apache/spark/launcher/JavaModuleOptions.java
index 013dde2766f49..f6a9607e7c5d3 100644
--- a/launcher/src/main/java/org/apache/spark/launcher/JavaModuleOptions.java
+++ b/launcher/src/main/java/org/apache/spark/launcher/JavaModuleOptions.java
@@ -36,6 +36,7 @@ public class JavaModuleOptions {
       "--add-opens=java.base/java.util=ALL-UNNAMED",
       "--add-opens=java.base/java.util.concurrent=ALL-UNNAMED",
       "--add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED",
+      "--add-opens=java.base/jdk.internal.ref=ALL-UNNAMED",
       "--add-opens=java.base/sun.nio.ch=ALL-UNNAMED",
       "--add-opens=java.base/sun.nio.cs=ALL-UNNAMED",
       "--add-opens=java.base/sun.security.action=ALL-UNNAMED",
diff --git a/pom.xml b/pom.xml
index 8fc4b89a78cc2..be8400c33bf2b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -308,6 +308,7 @@
       --add-opens=java.base/java.util=ALL-UNNAMED
       --add-opens=java.base/java.util.concurrent=ALL-UNNAMED
       --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED
+      --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED
       --add-opens=java.base/sun.nio.ch=ALL-UNNAMED
       --add-opens=java.base/sun.nio.cs=ALL-UNNAMED
       --add-opens=java.base/sun.security.action=ALL-UNNAMED
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 563d53577548e..718f2bb28cec4 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1619,6 +1619,7 @@ object TestSettings {
         "--add-opens=java.base/java.util=ALL-UNNAMED",
         "--add-opens=java.base/java.util.concurrent=ALL-UNNAMED",
         "--add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED",
+        "--add-opens=java.base/jdk.internal.ref=ALL-UNNAMED",
         "--add-opens=java.base/sun.nio.ch=ALL-UNNAMED",
         "--add-opens=java.base/sun.nio.cs=ALL-UNNAMED",
         "--add-opens=java.base/sun.security.action=ALL-UNNAMED",

From daa3281e6a68845943fcf61ba7ad1d2d3c8be28f Mon Sep 17 00:00:00 2001
From: xieshuaihu <xieshuaihu@agora.io>
Date: Mon, 16 Oct 2023 17:01:18 +0900
Subject: [PATCH 434/986] [SPARK-45538][PYTHON][CONNECT] pyspark connect
 overwrite_partitions bug

Fix a bug in pyspark connect.

DataFrameWriterV2.overwritePartitions set mode as overwrite_partitions [pyspark/sql/connect/readwriter.py, line 825], but WirteOperationV2 take it as overwrite_partition [pyspark/sql/connect/plan.py, line 1660]

make dataframe.writeTo(table).overwritePartitions() work

No

No test. This bug is very obvious.

No

Closes #43367 from xieshuaihu/python_connect_overwrite.

Authored-by: xieshuaihu <xieshuaihu@agora.io>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9bdad31039134b492caeeba430120d5978a085ee)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/connect/plan.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index b7ea1f9499354..9af5823dd8b84 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -1655,7 +1655,7 @@ def command(self, session: "SparkConnectClient") -> proto.Command:
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_CREATE
             elif wm == "overwrite":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_OVERWRITE
-            elif wm == "overwrite_partition":
+            elif wm == "overwrite_partitions":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_OVERWRITE_PARTITIONS
             elif wm == "append":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_APPEND

From 0dc1962374dceea29a0fa7802881dfeff335d3c9 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 16 Oct 2023 17:10:26 +0800
Subject: [PATCH 435/986] [SPARK-44619][INFRA][3.5] Free up disk space for
 container jobs

### What changes were proposed in this pull request?
Free up disk space for container jobs

### Why are the changes needed?
increase the available disk space

before this PR
![image](https://github.com/apache/spark/assets/7322292/64230324-607b-4c1d-ac2d-84b9bcaab12a)

after this PR
![image](https://github.com/apache/spark/assets/7322292/aafed2d6-5d26-4f7f-b020-1efe4f551a8f)

### Does this PR introduce _any_ user-facing change?
No, infra-only

### How was this patch tested?
updated CI

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43381 from LuciferYang/SPARK-44619-35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .github/workflows/build_and_test.yml |  6 +++++
 dev/free_disk_space_container        | 33 ++++++++++++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100755 dev/free_disk_space_container

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 1fcca7e4c3984..674e59508510c 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -407,6 +407,8 @@ jobs:
         key: pyspark-coursier-${{ hashFiles('**/pom.xml', '**/plugins.sbt') }}
         restore-keys: |
           pyspark-coursier-
+    - name: Free up disk space
+      run: ./dev/free_disk_space_container
     - name: Install Java ${{ matrix.java }}
       uses: actions/setup-java@v3
       with:
@@ -504,6 +506,8 @@ jobs:
         key: sparkr-coursier-${{ hashFiles('**/pom.xml', '**/plugins.sbt') }}
         restore-keys: |
           sparkr-coursier-
+    - name: Free up disk space
+      run: ./dev/free_disk_space_container
     - name: Install Java ${{ inputs.java }}
       uses: actions/setup-java@v3
       with:
@@ -612,6 +616,8 @@ jobs:
         key: docs-maven-${{ hashFiles('**/pom.xml') }}
         restore-keys: |
           docs-maven-
+    - name: Free up disk space
+      run: ./dev/free_disk_space_container
     - name: Install Java 8
       uses: actions/setup-java@v3
       with:
diff --git a/dev/free_disk_space_container b/dev/free_disk_space_container
new file mode 100755
index 0000000000000..cc3b74643e4fa
--- /dev/null
+++ b/dev/free_disk_space_container
@@ -0,0 +1,33 @@
+#!/usr/bin/env bash
+
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+echo "=================================="
+echo "Free up disk space on CI system"
+echo "=================================="
+
+echo "Listing 100 largest packages"
+dpkg-query -Wf '${Installed-Size}\t${Package}\n' | sort -n | tail -n 100
+df -h
+
+echo "Removing large packages"
+rm -rf /__t/CodeQL
+rm -rf /__t/go
+rm -rf /__t/node
+
+df -h

From b2103731bcfe7e0bee3b1302c773e46f80badcc9 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Tue, 17 Oct 2023 09:50:39 +0800
Subject: [PATCH 436/986] [SPARK-45484][SQL][3.5] Deprecated the incorrect
 parquet compression codec lz4raw

### What changes were proposed in this pull request?
According to the discussion at https://github.com/apache/spark/pull/43310#issuecomment-1757139681, this PR want deprecates the incorrect parquet compression codec `lz4raw` at Spark 3.5.1 and adds a warning log.

The warning log prompts users that `lz4raw` will be removed it at Apache Spark 4.0.0.

### Why are the changes needed?
Deprecated the incorrect parquet compression codec `lz4raw`.

### Does this PR introduce _any_ user-facing change?
'Yes'.
Users will see the waring log below.
`Parquet compression codec 'lz4raw' is deprecated, please use 'lz4_raw'`

### How was this patch tested?
Exists test cases and new test cases.

### Was this patch authored or co-authored using generative AI tooling?
'No'.

Closes #43330 from beliefer/SPARK-45484_3.5.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Jiaan Geng <beliefer@163.com>
---
 .../apache/spark/sql/internal/SQLConf.scala   | 14 +++++++++--
 .../datasources/parquet/ParquetOptions.scala  |  8 +++++-
 .../datasources/FileSourceCodecSuite.scala    |  2 +-
 ...rquetCompressionCodecPrecedenceSuite.scala | 25 ++++++++++++++++---
 4 files changed, 41 insertions(+), 8 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 73d3756ef6b93..427d04801902f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -995,12 +995,22 @@ object SQLConf {
       "`parquet.compression` is specified in the table-specific options/properties, the " +
       "precedence would be `compression`, `parquet.compression`, " +
       "`spark.sql.parquet.compression.codec`. Acceptable values include: none, uncompressed, " +
-      "snappy, gzip, lzo, brotli, lz4, lz4raw, zstd.")
+      "snappy, gzip, lzo, brotli, lz4, lz4raw, lz4_raw, zstd.")
     .version("1.1.1")
     .stringConf
     .transform(_.toLowerCase(Locale.ROOT))
     .checkValues(
-      Set("none", "uncompressed", "snappy", "gzip", "lzo", "brotli", "lz4", "lz4raw", "zstd"))
+      Set(
+        "none",
+        "uncompressed",
+        "snappy",
+        "gzip",
+        "lzo",
+        "brotli",
+        "lz4",
+        "lz4raw",
+        "lz4_raw",
+        "zstd"))
     .createWithDefault("snappy")
 
   val PARQUET_FILTER_PUSHDOWN_ENABLED = buildConf("spark.sql.parquet.filterPushdown")
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetOptions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetOptions.scala
index 023d2460959cd..95869b6fbb9d5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetOptions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetOptions.scala
@@ -22,6 +22,7 @@ import java.util.Locale
 import org.apache.parquet.hadoop.ParquetOutputFormat
 import org.apache.parquet.hadoop.metadata.CompressionCodecName
 
+import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.{DataSourceOptions, FileSourceOptions}
 import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
 import org.apache.spark.sql.internal.SQLConf
@@ -32,7 +33,7 @@ import org.apache.spark.sql.internal.SQLConf
 class ParquetOptions(
     @transient private val parameters: CaseInsensitiveMap[String],
     @transient private val sqlConf: SQLConf)
-  extends FileSourceOptions(parameters) {
+  extends FileSourceOptions(parameters) with Logging {
 
   import ParquetOptions._
 
@@ -59,6 +60,9 @@ class ParquetOptions(
       throw new IllegalArgumentException(s"Codec [$codecName] " +
         s"is not available. Available codecs are ${availableCodecs.mkString(", ")}.")
     }
+    if (codecName == "lz4raw") {
+      log.warn("Parquet compression codec 'lz4raw' is deprecated, please use 'lz4_raw'")
+    }
     shortParquetCompressionCodecNames(codecName).name()
   }
 
@@ -96,7 +100,9 @@ object ParquetOptions extends DataSourceOptions {
     "lzo" -> CompressionCodecName.LZO,
     "brotli" -> CompressionCodecName.BROTLI,
     "lz4" -> CompressionCodecName.LZ4,
+    // Deprecated, to be removed at Spark 4.0.0, please use 'lz4_raw' instead.
     "lz4raw" -> CompressionCodecName.LZ4_RAW,
+    "lz4_raw" -> CompressionCodecName.LZ4_RAW,
     "zstd" -> CompressionCodecName.ZSTD)
 
   def getParquetCompressionCodecName(name: String): String = {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceCodecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceCodecSuite.scala
index 09a348cd29451..9f3d6ff48d477 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceCodecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceCodecSuite.scala
@@ -59,7 +59,7 @@ class ParquetCodecSuite extends FileSourceCodecSuite {
   // Exclude "brotli" because the com.github.rdblue:brotli-codec dependency is not available
   // on Maven Central.
   override protected def availableCodecs: Seq[String] = {
-    Seq("none", "uncompressed", "snappy", "gzip", "zstd", "lz4", "lz4raw")
+    Seq("none", "uncompressed", "snappy", "gzip", "zstd", "lz4", "lz4raw", "lz4_raw")
   }
 }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetCompressionCodecPrecedenceSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetCompressionCodecPrecedenceSuite.scala
index ac0aad16f1eba..27e2816ce9d94 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetCompressionCodecPrecedenceSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetCompressionCodecPrecedenceSuite.scala
@@ -29,9 +29,23 @@ import org.apache.spark.sql.test.SharedSparkSession
 
 class ParquetCompressionCodecPrecedenceSuite extends ParquetTest with SharedSparkSession {
   test("Test `spark.sql.parquet.compression.codec` config") {
-    Seq("NONE", "UNCOMPRESSED", "SNAPPY", "GZIP", "LZO", "LZ4", "BROTLI", "ZSTD").foreach { c =>
+    Seq(
+      "NONE",
+      "UNCOMPRESSED",
+      "SNAPPY",
+      "GZIP",
+      "LZO",
+      "LZ4",
+      "BROTLI",
+      "ZSTD",
+      "LZ4RAW",
+      "LZ4_RAW").foreach { c =>
       withSQLConf(SQLConf.PARQUET_COMPRESSION.key -> c) {
-        val expected = if (c == "NONE") "UNCOMPRESSED" else c
+        val expected = c match {
+          case "NONE" => "UNCOMPRESSED"
+          case "LZ4RAW" => "LZ4_RAW"
+          case other => other
+        }
         val option = new ParquetOptions(Map.empty[String, String], spark.sessionState.conf)
         assert(option.compressionCodecClassName == expected)
       }
@@ -97,7 +111,10 @@ class ParquetCompressionCodecPrecedenceSuite extends ParquetTest with SharedSpar
         createTableWithCompression(tempTableName, isPartitioned, compressionCodec, tmpDir)
         val partitionPath = if (isPartitioned) "p=2" else ""
         val path = s"${tmpDir.getPath.stripSuffix("/")}/$tempTableName/$partitionPath"
-        val realCompressionCodecs = getTableCompressionCodec(path)
+        val realCompressionCodecs = getTableCompressionCodec(path).map {
+          case "LZ4_RAW" if compressionCodec == "LZ4RAW" => "LZ4RAW"
+          case other => other
+        }
         assert(realCompressionCodecs.forall(_ == compressionCodec))
       }
     }
@@ -105,7 +122,7 @@ class ParquetCompressionCodecPrecedenceSuite extends ParquetTest with SharedSpar
 
   test("Create parquet table with compression") {
     Seq(true, false).foreach { isPartitioned =>
-      val codecs = Seq("UNCOMPRESSED", "SNAPPY", "GZIP", "ZSTD", "LZ4")
+      val codecs = Seq("UNCOMPRESSED", "SNAPPY", "GZIP", "ZSTD", "LZ4", "LZ4RAW", "LZ4_RAW")
       codecs.foreach { compressionCodec =>
         checkCompressionCodec(compressionCodec, isPartitioned)
       }

From 22a83caa4896a8d03ec7e76b3e7a3bd08930adcb Mon Sep 17 00:00:00 2001
From: Bo Xiong <xiongbo@amazon.com>
Date: Tue, 17 Oct 2023 18:05:23 +0800
Subject: [PATCH 437/986] [SPARK-45283][CORE][TESTS][3.5] Make
 StatusTrackerSuite less fragile

### Why are the changes needed?

It's discovered from [Github Actions](https://github.com/xiongbo-sjtu/spark/actions/runs/6270601155/job/17028788767) that StatusTrackerSuite can run into random failures, as shown by the following error message.  The proposed fix is to update the unit test to remove the nondeterministic behavior.

The fix has been made to the master branch in https://github.com/apache/spark/pull/43194.  This PR is meant to patch branch-3.5 only.

```
    [info] StatusTrackerSuite:
    [info] - basic status API usage (99 milliseconds)
    [info] - getJobIdsForGroup() (56 milliseconds)
    [info] - getJobIdsForGroup() with takeAsync() (48 milliseconds)
    [info] - getJobIdsForGroup() with takeAsync() across multiple partitions (58 milliseconds)
    [info] - getJobIdsForTag() *** FAILED *** (10 seconds, 77 milliseconds)
    [info] The code passed to eventually never returned normally.
           Attempted 651 times over 10.005059944000001 seconds.
           Last failure message: Set(3, 2, 1) was not equal to Set(1, 2). (StatusTrackerSuite.scala:148)
```

Full trace can be found [here](https://issues.apache.org/jira/browse/SPARK-45283).

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
```
build/mvn package -DskipTests -pl core
build/mvn -Dtest=none -DwildcardSuites=org.apache.spark.StatusTrackerSuite test
```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43388 from xiongbo-sjtu/branch-3.5.

Authored-by: Bo Xiong <xiongbo@amazon.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../test/scala/org/apache/spark/StatusTrackerSuite.scala | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/StatusTrackerSuite.scala b/core/src/test/scala/org/apache/spark/StatusTrackerSuite.scala
index 0817abbc6a328..9019ea484b3f3 100644
--- a/core/src/test/scala/org/apache/spark/StatusTrackerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/StatusTrackerSuite.scala
@@ -140,16 +140,19 @@ class StatusTrackerSuite extends SparkFunSuite with Matchers with LocalSparkCont
     }
 
     sc.removeJobTag("tag1")
+
     // takeAsync() across multiple partitions
     val thirdJobFuture = sc.parallelize(1 to 1000, 2).takeAsync(999)
-    val thirdJobId = eventually(timeout(10.seconds)) {
-      thirdJobFuture.jobIds.head
+    val thirdJobIds = eventually(timeout(10.seconds)) {
+      // Wait for the two jobs triggered by takeAsync
+      thirdJobFuture.jobIds.size should be(2)
+      thirdJobFuture.jobIds
     }
     eventually(timeout(10.seconds)) {
       sc.statusTracker.getJobIdsForTag("tag1").toSet should be (
         Set(firstJobId, secondJobId))
       sc.statusTracker.getJobIdsForTag("tag2").toSet should be (
-        Set(secondJobId, thirdJobId))
+        Set(secondJobId) ++ thirdJobIds)
     }
   }
 }

From 6a5747d66e53ed0d934cdd9ca5c9bd9fde6868e6 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 17 Oct 2023 22:19:18 +0800
Subject: [PATCH 438/986] [SPARK-45568][TESTS] Fix flaky
 WholeStageCodegenSparkSubmitSuite

### What changes were proposed in this pull request?

WholeStageCodegenSparkSubmitSuite is [flaky](https://github.com/apache/spark/actions/runs/6479534195/job/17593342589) because SHUFFLE_PARTITIONS(200) creates 200 reducers for one total core and improper stop progress causes executor launcher reties. The heavy load and reties might result in timeout test failures.

### Why are the changes needed?

CI robustness

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing WholeStageCodegenSparkSubmitSuite
### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43394 from yaooqinn/SPARK-45568.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit f00ec39542a5f9ac75d8c24f0f04a7be703c8d7c)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../WholeStageCodegenSparkSubmitSuite.scala   | 57 ++++++++++---------
 1 file changed, 30 insertions(+), 27 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSparkSubmitSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSparkSubmitSuite.scala
index e253de76221ad..69145d890fc19 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSparkSubmitSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSparkSubmitSuite.scala
@@ -26,6 +26,7 @@ import org.apache.spark.deploy.SparkSubmitTestUtils
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{QueryTest, Row, SparkSession}
 import org.apache.spark.sql.functions.{array, col, count, lit}
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.IntegerType
 import org.apache.spark.tags.ExtendedSQLTest
 import org.apache.spark.unsafe.Platform
@@ -70,39 +71,41 @@ class WholeStageCodegenSparkSubmitSuite extends SparkSubmitTestUtils
 
 object WholeStageCodegenSparkSubmitSuite extends Assertions with Logging {
 
-  var spark: SparkSession = _
-
   def main(args: Array[String]): Unit = {
     TestUtils.configTestLog4j2("INFO")
 
-    spark = SparkSession.builder().getOrCreate()
+    val spark = SparkSession.builder()
+      .config(SQLConf.SHUFFLE_PARTITIONS.key, "2")
+      .getOrCreate()
+
+    try {
+      // Make sure the test is run where the driver and the executors uses different object layouts
+      val driverArrayHeaderSize = Platform.BYTE_ARRAY_OFFSET
+      val executorArrayHeaderSize =
+        spark.sparkContext.range(0, 1).map(_ => Platform.BYTE_ARRAY_OFFSET).collect().head
+      assert(driverArrayHeaderSize > executorArrayHeaderSize)
 
-    // Make sure the test is run where the driver and the executors uses different object layouts
-    val driverArrayHeaderSize = Platform.BYTE_ARRAY_OFFSET
-    val executorArrayHeaderSize =
-      spark.sparkContext.range(0, 1).map(_ => Platform.BYTE_ARRAY_OFFSET).collect.head.toInt
-    assert(driverArrayHeaderSize > executorArrayHeaderSize)
+      val df = spark.range(71773).select((col("id") % lit(10)).cast(IntegerType) as "v")
+        .groupBy(array(col("v"))).agg(count(col("*")))
+      val plan = df.queryExecution.executedPlan
+      assert(plan.exists(_.isInstanceOf[WholeStageCodegenExec]))
 
-    val df = spark.range(71773).select((col("id") % lit(10)).cast(IntegerType) as "v")
-      .groupBy(array(col("v"))).agg(count(col("*")))
-    val plan = df.queryExecution.executedPlan
-    assert(plan.exists(_.isInstanceOf[WholeStageCodegenExec]))
+      val expectedAnswer =
+        Row(Array(0), 7178) ::
+          Row(Array(1), 7178) ::
+          Row(Array(2), 7178) ::
+          Row(Array(3), 7177) ::
+          Row(Array(4), 7177) ::
+          Row(Array(5), 7177) ::
+          Row(Array(6), 7177) ::
+          Row(Array(7), 7177) ::
+          Row(Array(8), 7177) ::
+          Row(Array(9), 7177) :: Nil
 
-    val expectedAnswer =
-      Row(Array(0), 7178) ::
-        Row(Array(1), 7178) ::
-        Row(Array(2), 7178) ::
-        Row(Array(3), 7177) ::
-        Row(Array(4), 7177) ::
-        Row(Array(5), 7177) ::
-        Row(Array(6), 7177) ::
-        Row(Array(7), 7177) ::
-        Row(Array(8), 7177) ::
-        Row(Array(9), 7177) :: Nil
-    val result = df.collect
-    QueryTest.sameRows(result.toSeq, expectedAnswer) match {
-      case Some(errMsg) => fail(errMsg)
-      case _ =>
+      QueryTest.checkAnswer(df, expectedAnswer)
+    } finally {
+      spark.stop()
     }
+
   }
 }

From 18599ea750f50e07a910487fb3a871ed69fb9cab Mon Sep 17 00:00:00 2001
From: Sean Owen <srowen@gmail.com>
Date: Tue, 17 Oct 2023 16:10:56 -0700
Subject: [PATCH 439/986] [MINOR][SQL] Remove signature from Hive thriftserver
 exception

### What changes were proposed in this pull request?

Don't return expected signature to caller in Hive thriftserver exception

### Why are the changes needed?

Please see private discussion

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43402 from srowen/HiveCookieSigner.

Authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit cf59b1f51c16301f689b4e0f17ba4dbd140e1b19)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/java/org/apache/hive/service/CookieSigner.java    | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/CookieSigner.java b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/CookieSigner.java
index 782e47a6cd902..4b8d2cb1536cd 100644
--- a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/CookieSigner.java
+++ b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/CookieSigner.java
@@ -81,8 +81,7 @@ public String verifyAndExtract(String signedStr) {
       LOG.debug("Signature generated for " + rawValue + " inside verify is " + currentSignature);
     }
     if (!MessageDigest.isEqual(originalSignature.getBytes(), currentSignature.getBytes())) {
-      throw new IllegalArgumentException("Invalid sign, original = " + originalSignature +
-        " current = " + currentSignature);
+      throw new IllegalArgumentException("Invalid sign");
     }
     return rawValue;
   }

From ed2a4cc6033ac35faa7b19eb236a4c953543d519 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 18 Oct 2023 11:43:59 +0900
Subject: [PATCH 440/986] [MINOR][DOCS] Update the docs for
 spark.sql.optimizer.canChangeCachedPlanOutputPartitioning configuration

### What changes were proposed in this pull request?

This PR fixes the documentation for `spark.sql.optimizer.canChangeCachedPlanOutputPartitioning` configuration by saying this is enabled by default. This is a followup of https://github.com/apache/spark/pull/40390 (but did not use a JIRA due to fixed versions properties in the JIRA).

### Why are the changes needed?

To mention that this is enabled, to the end users.

### Does this PR introduce _any_ user-facing change?

No, it's an internal conf, not documented.

### How was this patch tested?

CI in this PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43411 from HyukjinKwon/fix-docs.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 0cb4a84f6ab0c1bd101e6bc72be82987bbc02e9b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../src/main/scala/org/apache/spark/sql/internal/SQLConf.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 427d04801902f..4ea0cd5bcc126 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -1529,7 +1529,7 @@ object SQLConf {
       .doc("Whether to forcibly enable some optimization rules that can change the output " +
         "partitioning of a cached query when executing it for caching. If it is set to true, " +
         "queries may need an extra shuffle to read the cached data. This configuration is " +
-        "disabled by default. Currently, the optimization rules enabled by this configuration " +
+        "enabled by default. The optimization rules enabled by this configuration " +
         s"are ${ADAPTIVE_EXECUTION_ENABLED.key} and ${AUTO_BUCKETED_SCAN_ENABLED.key}.")
       .version("3.2.0")
       .booleanConf

From 2f66851972c2fc66b053a8c78bc2814b7bb4257f Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 19 Oct 2023 09:43:13 +0800
Subject: [PATCH 441/986] [SPARK-45585][TEST] Fix time format and redirection
 issues in SparkSubmit tests

### What changes were proposed in this pull request?

This PR fixes:

- The deviation from `new Timestamp(new Date().getTime)` and log4j2 date format pattern from sub spark-submit progress
```
2023-10-17 03:58:48.275 - stderr> 23/10/17 18:58:48 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20231017185848-0000
2023-10-17 03:58:48.278 - stderr> 23/10/17 18:58:48 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 57637.
```
- The duplication of `new Timestamp(new Date().getTime)` when using logInfo instead of println
```
23/10/17 19:02:34.392 Thread-5 INFO SparkShellSuite: 2023-10-17 04:02:34.392 - stderr> 23/10/17 19:02:34 WARN Utils: Your hostname, hulk.local resolves to a loopback address: 127.0.0.1; using 10.221.103.23 instead (on interface en0)
23/10/17 19:02:34.393 Thread-5 INFO SparkShellSuite: 2023-10-17 04:02:34.393 - stderr> 23/10/17 19:02:34 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address

```
- Correctly redirects sub spark-submit progress logs to unit-tests.log

### Why are the changes needed?

test fixes

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

- WholeStageCodegenSparkSubmitSuite - before

```
18:58:53.882 shutdown-hook-0 INFO ShutdownHookManager: Shutdown hook called
18:58:53.882 shutdown-hook-0 INFO ShutdownHookManager: Deleting directory /Users/hzyaoqin/spark/target/tmp/spark-ecd53d47-d109-4ddc-80dd-2d829f34371e
11:58:18.892 pool-1-thread-1 WARN Utils: Your hostname, hulk.local resolves to a loopback address: 127.0.0.1; using 10.221.103.23 instead (on interface en0)
11:58:18.893 pool-1-thread-1 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
11:58:18.932 pool-1-thread-1-ScalaTest-running-WholeStageCodegenSparkSubmitSuite INFO WholeStageCodegenSparkSubmitSuite:
```

- WholeStageCodegenSparkSubmitSuite - after
```
===== TEST OUTPUT FOR o.a.s.sql.execution.WholeStageCodegenSparkSubmitSuite: 'Generated code on driver should not embed platform-specific constant' =====

11:58:19.882 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:19 WARN Utils: Your hostname, hulk.local resolves to a loopback address: 127.0.0.1; using 10.221.103.23 instead (on interface en0)
11:58:19.883 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:19 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
11:58:20.195 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SparkContext: Running Spark version 4.0.0-SNAPSHOT
11:58:20.195 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SparkContext: OS info Mac OS X, 13.4, aarch64
11:58:20.195 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SparkContext: Java version 17.0.8
11:58:20.227 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
11:58:20.253 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceUtils: ==============================================================
11:58:20.253 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceUtils: No custom resources configured for spark.driver.
11:58:20.253 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceUtils: ==============================================================
11:58:20.254 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SparkContext: Submitted application: org.apache.spark.sql.execution.WholeStageCodegenSparkSubmitSuite
11:58:20.266 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(memory -> name: memory, amount: 1024, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0)
11:58:20.268 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceProfile: Limiting resource is cpu
11:58:20.268 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO ResourceProfileManager: Added ResourceProfile id: 0
11:58:20.302 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SecurityManager: Changing view acls to: hzyaoqin
11:58:20.302 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SecurityManager: Changing modify acls to: hzyaoqin
11:58:20.303 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SecurityManager: Changing view acls groups to:
11:58:20.303 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SecurityManager: Changing modify acls groups to:
11:58:20.305 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: hzyaoqin; groups with view permissions: EMPTY; users with modify permissions: hzyaoqin; groups with modify permissions: EMPTY; RPC SSL disabled
11:58:20.448 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO Utils: Successfully started service 'sparkDriver' on port 52173.
11:58:20.465 Thread-6 INFO WholeStageCodegenSparkSubmitSuite: stderr> 23/10/18 11:58:20 INFO SparkEnv: Registering MapOutputTracker

```

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43421 from yaooqinn/SPARK-45585.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit a14f90941caf06e2d77789a3952dd588e6900b90)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/deploy/SparkSubmitTestUtils.scala       | 15 ++-------------
 .../org/apache/spark/repl/SparkShellSuite.scala   | 11 ++++-------
 .../spark/sql/hive/thriftserver/CliSuite.scala    |  9 ++-------
 3 files changed, 8 insertions(+), 27 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/deploy/SparkSubmitTestUtils.scala b/core/src/test/scala/org/apache/spark/deploy/SparkSubmitTestUtils.scala
index 2ab2e17df03a8..932e972374cae 100644
--- a/core/src/test/scala/org/apache/spark/deploy/SparkSubmitTestUtils.scala
+++ b/core/src/test/scala/org/apache/spark/deploy/SparkSubmitTestUtils.scala
@@ -18,8 +18,6 @@
 package org.apache.spark.deploy
 
 import java.io.File
-import java.sql.Timestamp
-import java.util.Date
 
 import scala.collection.mutable.ArrayBuffer
 
@@ -69,17 +67,8 @@ trait SparkSubmitTestUtils extends SparkFunSuite with TimeLimits {
     env.put("SPARK_HOME", sparkHome)
 
     def captureOutput(source: String)(line: String): Unit = {
-      // This test suite has some weird behaviors when executed on Jenkins:
-      //
-      // 1. Sometimes it gets extremely slow out of unknown reason on Jenkins.  Here we add a
-      //    timestamp to provide more diagnosis information.
-      // 2. Log lines are not correctly redirected to unit-tests.log as expected, so here we print
-      //    them out for debugging purposes.
-      val logLine = s"${new Timestamp(new Date().getTime)} - $source> $line"
-      // scalastyle:off println
-      println(logLine)
-      // scalastyle:on println
-      history += logLine
+      logInfo(s"$source> $line")
+      history += line
     }
 
     val process = builder.start()
diff --git a/repl/src/test/scala/org/apache/spark/repl/SparkShellSuite.scala b/repl/src/test/scala/org/apache/spark/repl/SparkShellSuite.scala
index 39544beec4154..067f08cb67528 100644
--- a/repl/src/test/scala/org/apache/spark/repl/SparkShellSuite.scala
+++ b/repl/src/test/scala/org/apache/spark/repl/SparkShellSuite.scala
@@ -19,8 +19,6 @@ package org.apache.spark.repl
 
 import java.io._
 import java.nio.charset.StandardCharsets
-import java.sql.Timestamp
-import java.util.Date
 
 import scala.collection.mutable.ArrayBuffer
 import scala.concurrent.Promise
@@ -70,10 +68,9 @@ class SparkShellSuite extends SparkFunSuite {
     val lock = new Object
 
     def captureOutput(source: String)(line: String): Unit = lock.synchronized {
-      // This test suite sometimes gets extremely slow out of unknown reason on Jenkins.  Here we
-      // add a timestamp to provide more diagnosis information.
-      val newLine = s"${new Timestamp(new Date().getTime)} - $source> $line"
-      log.info(newLine)
+      val newLine = s"$source> $line"
+
+      logInfo(newLine)
       buffer += newLine
 
       if (line.startsWith("Spark context available") && line.contains("app id")) {
@@ -82,7 +79,7 @@ class SparkShellSuite extends SparkFunSuite {
 
       // If we haven't found all expected answers and another expected answer comes up...
       if (next < expectedAnswers.size && line.contains(expectedAnswers(next))) {
-        log.info(s"$source> found expected output line $next: '${expectedAnswers(next)}'")
+        logInfo(s"$source> found expected output line $next: '${expectedAnswers(next)}'")
         next += 1
         // If all expected answers have been found...
         if (next == expectedAnswers.size) {
diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
index d3a9a9f08411c..8ba9ea28a5a96 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
@@ -19,8 +19,6 @@ package org.apache.spark.sql.hive.thriftserver
 
 import java.io._
 import java.nio.charset.StandardCharsets
-import java.sql.Timestamp
-import java.util.Date
 import java.util.concurrent.CountDownLatch
 
 import scala.collection.JavaConverters._
@@ -145,11 +143,8 @@ class CliSuite extends SparkFunSuite {
     val lock = new Object
 
     def captureOutput(source: String)(line: String): Unit = lock.synchronized {
-      // This test suite sometimes gets extremely slow out of unknown reason on Jenkins.  Here we
-      // add a timestamp to provide more diagnosis information.
-      val newLine = s"${new Timestamp(new Date().getTime)} - $source> $line"
-      log.info(newLine)
-      buffer += newLine
+      logInfo(s"$source> $line")
+      buffer += line
 
       if (line.startsWith("Spark master: ") && line.contains("Application Id: ")) {
         foundMasterAndApplicationIdMessage.trySuccess(())

From 17d283990b64614828838afa718f48b855ab7842 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon.lee@databricks.com>
Date: Thu, 19 Oct 2023 13:57:01 +0900
Subject: [PATCH 442/986] [SPARK-45553][PS] Deprecate
 `assertPandasOnSparkEqual`

### What changes were proposed in this pull request?

This PR proposes to deprecate `assertPandasOnSparkEqual`.

### Why are the changes needed?

Now we have more pandas friendly testing utils such as `ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal` and `ps.testing.assert_index_equal`.

### Does this PR introduce _any_ user-facing change?

Not for now, but `assertPandasOnSparkEqual` will be removed in the future version.

### How was this patch tested?

The existing CI should pass.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43426 from itholic/SPARK-45553.

Authored-by: Haejoon Lee <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f3e280b952da8b8ab6c78371f3715cc674a73bc1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/testing/pandasutils.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index c80ffb7ee53cb..04a523bce7640 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -365,6 +365,11 @@ def assertPandasOnSparkEqual(
 
     .. versionadded:: 3.5.0
 
+    .. deprecated:: 3.5.1
+        `assertPandasOnSparkEqual` will be removed in Spark 4.0.0.
+        Use `ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal`
+        and `ps.testing.assert_index_equal` instead.
+
     Parameters
     ----------
     actual: pandas-on-Spark DataFrame, Series, or Index
@@ -417,6 +422,12 @@ def assertPandasOnSparkEqual(
     >>> s2 = ps.Index([212.3, 100.0001])
     >>> assertPandasOnSparkEqual(s1, s2, almost=True)  # pass, ps.Index obj are almost equal
     """
+    warnings.warn(
+        "`assertPandasOnSparkEqual` will be removed in Spark 4.0.0. "
+        "Use `ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal` "
+        "and `ps.testing.assert_index_equal` instead.",
+        FutureWarning,
+    )
     if actual is None and expected is None:
         return True
     elif actual is None or expected is None:

From feb48dc146d8a89882875f25115af52e8295dfcc Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Thu, 19 Oct 2023 20:16:21 +0800
Subject: [PATCH 443/986] [SPARK-45543][SQL] `InferWindowGroupLimit` causes bug
 if the other window functions haven't the same window frame as the rank-like
 functions

### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/38799 Introduce the group limit of Window for rank-based filter to optimize top-k computation.
But it causes a bug if window expressions exists non-rank function which has the window frame is not the same as `(UnboundedPreceding, CurrentRow)`.
Please see the detail at https://issues.apache.org/jira/browse/SPARK-45543.

### Why are the changes needed?
Fix the bug.

### Does this PR introduce _any_ user-facing change?
'Yes'.

### How was this patch tested?
New test cases.

### Was this patch authored or co-authored using generative AI tooling?
'No'.

Closes #43385 from beliefer/SPARK-45543.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Jiaan Geng <beliefer@163.com>
(cherry picked from commit d6d4e52ecc3015b41c51bc7e4e122696c76b06ee)
Signed-off-by: Jiaan Geng <beliefer@163.com>
---
 .../optimizer/InferWindowGroupLimit.scala     |  18 ++-
 .../sql/DataFrameWindowFunctionsSuite.scala   | 112 ++++++++++++++++++
 2 files changed, 126 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InferWindowGroupLimit.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InferWindowGroupLimit.scala
index 261be2914630e..04204c6a2e108 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InferWindowGroupLimit.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InferWindowGroupLimit.scala
@@ -52,23 +52,33 @@ object InferWindowGroupLimit extends Rule[LogicalPlan] with PredicateHelper {
     if (limits.nonEmpty) Some(limits.min) else None
   }
 
-  private def support(
+  /**
+   * All window expressions should use the same expanding window, so that
+   * we can safely do the early stop.
+   */
+  private def isExpandingWindow(
       windowExpression: NamedExpression): Boolean = windowExpression match {
-    case Alias(WindowExpression(_: Rank | _: DenseRank | _: RowNumber, WindowSpecDefinition(_, _,
+    case Alias(WindowExpression(_, WindowSpecDefinition(_, _,
     SpecifiedWindowFrame(RowFrame, UnboundedPreceding, CurrentRow))), _) => true
     case _ => false
   }
 
+  private def support(windowFunction: Expression): Boolean = windowFunction match {
+    case _: Rank | _: DenseRank | _: RowNumber => true
+    case _ => false
+  }
+
   def apply(plan: LogicalPlan): LogicalPlan = {
     if (conf.windowGroupLimitThreshold == -1) return plan
 
     plan.transformWithPruning(_.containsAllPatterns(FILTER, WINDOW), ruleId) {
       case filter @ Filter(condition,
         window @ Window(windowExpressions, partitionSpec, orderSpec, child))
-        if !child.isInstanceOf[WindowGroupLimit] && windowExpressions.exists(support) &&
+        if !child.isInstanceOf[WindowGroupLimit] && windowExpressions.forall(isExpandingWindow) &&
           orderSpec.nonEmpty =>
         val limits = windowExpressions.collect {
-          case alias @ Alias(WindowExpression(rankLikeFunction, _), _) if support(alias) =>
+          case alias @ Alias(WindowExpression(rankLikeFunction, _), _)
+            if support(rankLikeFunction) =>
             extractLimits(condition, alias.toAttribute).map((_, rankLikeFunction))
         }.flatten
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
index a57e927ba8427..47380db421734 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
@@ -1521,4 +1521,116 @@ class DataFrameWindowFunctionsSuite extends QueryTest
       assert(windows.size === 1)
     }
   }
+
+  test("SPARK-45543: InferWindowGroupLimit causes bug " +
+    "if the other window functions haven't the same window frame as the rank-like functions") {
+    val df = Seq(
+      (1, "Dave", 1, 2020),
+      (2, "Dave", 1, 2021),
+      (3, "Dave", 2, 2022),
+      (4, "Dave", 3, 2023),
+      (5, "Dave", 3, 2024),
+      (6, "Mark", 2, 2022),
+      (7, "Mark", 3, 2023),
+      (8, "Mark", 3, 2024),
+      (9, "Amy", 6, 2021),
+      (10, "Amy", 5, 2022),
+      (11, "Amy", 6, 2023),
+      (12, "Amy", 7, 2024),
+      (13, "John", 7, 2024)).toDF("id", "name", "score", "year")
+
+    val window = Window.partitionBy($"year").orderBy($"score".desc)
+    val window2 = window.rowsBetween(Window.unboundedPreceding, Window.currentRow)
+    val window3 = window.rowsBetween(Window.unboundedPreceding, Window.unboundedFollowing)
+
+    Seq(-1, 100).foreach { threshold =>
+      withSQLConf(SQLConf.WINDOW_GROUP_LIMIT_THRESHOLD.key -> threshold.toString) {
+        // The other window functions have the same window frame as the rank-like functions.
+        // df2, df3 and df4 can apply InferWindowGroupLimit
+        val df2 = df
+          .withColumn("rn", row_number().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window2))
+          .sort($"year")
+
+        checkAnswer(df2.filter("rn=1"), Seq(
+          Row(1, "Dave", 1, 2020, 1, Array(1)),
+          Row(9, "Amy", 6, 2021, 1, Array(6)),
+          Row(10, "Amy", 5, 2022, 1, Array(5)),
+          Row(11, "Amy", 6, 2023, 1, Array(6)),
+          Row(12, "Amy", 7, 2024, 1, Array(7))
+        ))
+
+        val df3 = df
+          .withColumn("rank", rank().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window2))
+          .sort($"year")
+
+        checkAnswer(df3.filter("rank=2"), Seq(
+          Row(2, "Dave", 1, 2021, 2, Array(6, 1)),
+          Row(3, "Dave", 2, 2022, 2, Array(5, 2)),
+          Row(6, "Mark", 2, 2022, 2, Array(5, 2, 2)),
+          Row(4, "Dave", 3, 2023, 2, Array(6, 3)),
+          Row(7, "Mark", 3, 2023, 2, Array(6, 3, 3))
+        ))
+
+        val df4 = df
+          .withColumn("rank", dense_rank().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window2))
+          .sort($"year")
+
+        checkAnswer(df4.filter("rank=2"), Seq(
+          Row(2, "Dave", 1, 2021, 2, Array(6, 1)),
+          Row(3, "Dave", 2, 2022, 2, Array(5, 2)),
+          Row(6, "Mark", 2, 2022, 2, Array(5, 2, 2)),
+          Row(4, "Dave", 3, 2023, 2, Array(6, 3)),
+          Row(7, "Mark", 3, 2023, 2, Array(6, 3, 3)),
+          Row(5, "Dave", 3, 2024, 2, Array(7, 7, 3)),
+          Row(8, "Mark", 3, 2024, 2, Array(7, 7, 3, 3))
+        ))
+
+        // The other window functions haven't the same window frame as the rank-like functions.
+        // df5, df6 and df7 cannot apply InferWindowGroupLimit
+        val df5 = df
+          .withColumn("rn", row_number().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window3))
+          .sort($"year")
+
+        checkAnswer(df5.filter("rn=1"), Seq(
+          Row(1, "Dave", 1, 2020, 1, Array(1)),
+          Row(9, "Amy", 6, 2021, 1, Array(6, 1)),
+          Row(10, "Amy", 5, 2022, 1, Array(5, 2, 2)),
+          Row(11, "Amy", 6, 2023, 1, Array(6, 3, 3)),
+          Row(12, "Amy", 7, 2024, 1, Array(7, 7, 3, 3))
+        ))
+
+        val df6 = df
+          .withColumn("rank", rank().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window3))
+          .sort($"year")
+
+        checkAnswer(df6.filter("rank=2"), Seq(
+          Row(2, "Dave", 1, 2021, 2, Array(6, 1)),
+          Row(3, "Dave", 2, 2022, 2, Array(5, 2, 2)),
+          Row(6, "Mark", 2, 2022, 2, Array(5, 2, 2)),
+          Row(4, "Dave", 3, 2023, 2, Array(6, 3, 3)),
+          Row(7, "Mark", 3, 2023, 2, Array(6, 3, 3))
+        ))
+
+        val df7 = df
+          .withColumn("rank", dense_rank().over(window))
+          .withColumn("all_scores", collect_list($"score").over(window3))
+          .sort($"year")
+
+        checkAnswer(df7.filter("rank=2"), Seq(
+          Row(2, "Dave", 1, 2021, 2, Array(6, 1)),
+          Row(3, "Dave", 2, 2022, 2, Array(5, 2, 2)),
+          Row(6, "Mark", 2, 2022, 2, Array(5, 2, 2)),
+          Row(4, "Dave", 3, 2023, 2, Array(6, 3, 3)),
+          Row(7, "Mark", 3, 2023, 2, Array(6, 3, 3)),
+          Row(5, "Dave", 3, 2024, 2, Array(7, 7, 3, 3)),
+          Row(8, "Mark", 3, 2024, 2, Array(7, 7, 3, 3))
+        ))
+      }
+    }
+  }
 }

From f47b63c6a62fb6f1fd894f64736847719af7a199 Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Fri, 20 Oct 2023 08:36:42 +0800
Subject: [PATCH 444/986] [SPARK-45584][SQL] Fix subquery execution failure
 with TakeOrderedAndProjectExec

This PR fixes a bug when there are subqueries in `TakeOrderedAndProjectExec`. The executeCollect method does not wait for subqueries to finish and it can result in IllegalArgumentException when executing a simple query.
For example this query:
```
WITH t2 AS (
  SELECT * FROM t1 ORDER BY id
)
SELECT *, (SELECT COUNT(*) FROM t2) FROM t2 LIMIT 10
```
will fail with this error
```
 java.lang.IllegalArgumentException: requirement failed: Subquery subquery#242, [id=#109] has not finished
```

To fix a bug.

No

New unit test

No

Closes #43419 from allisonwang-db/spark-45584-subquery-failure.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 8fd915ffaba1cc99813cc8d6d2a28688d7fae39b)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/execution/limit.scala    |  2 +-
 .../org/apache/spark/sql/SubquerySuite.scala  | 24 +++++++++++++++++++
 2 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
index 877f6508d963f..77135d21a26ab 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
@@ -282,7 +282,7 @@ case class TakeOrderedAndProjectExec(
     projectList.map(_.toAttribute)
   }
 
-  override def executeCollect(): Array[InternalRow] = {
+  override def executeCollect(): Array[InternalRow] = executeQuery {
     val orderingSatisfies = SortOrder.orderingSatisfies(child.outputOrdering, sortOrder)
     val ord = new LazilyGeneratedOrdering(sortOrder, child.output)
     val limited = if (orderingSatisfies) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
index d235d2a15fea3..a7a0f6156cb1d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
@@ -2712,4 +2712,28 @@ class SubquerySuite extends QueryTest
         expected)
     }
   }
+
+  test("SPARK-45584: subquery execution should not fail with ORDER BY and LIMIT") {
+    withTable("t1") {
+      sql(
+        """
+          |CREATE TABLE t1 USING PARQUET
+          |AS SELECT * FROM VALUES
+          |(1, "a"),
+          |(2, "a"),
+          |(3, "a") t(id, value)
+          |""".stripMargin)
+      val df = sql(
+        """
+          |WITH t2 AS (
+          |  SELECT * FROM t1 ORDER BY id
+          |)
+          |SELECT *, (SELECT COUNT(*) FROM t2) FROM t2 LIMIT 10
+          |""".stripMargin)
+      // This should not fail with IllegalArgumentException.
+      checkAnswer(
+        df,
+        Row(1, "a", 3) :: Row(2, "a", 3) :: Row(3, "a", 3) :: Nil)
+    }
+  }
 }

From 6a3a8f5750e1db3d4dea3a9d12795764035b953a Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon.lee@databricks.com>
Date: Fri, 20 Oct 2023 15:01:15 +0900
Subject: [PATCH 445/986] [SPARK-45553][3.5][PS] Correct warning messages

### What changes were proposed in this pull request?

This followups for https://github.com/apache/spark/pull/43426.

### Why are the changes needed?

To remove incorrect context from the warning message.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

The existing CI should pass

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43459 from itholic/45553-remove.

Authored-by: Haejoon Lee <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/testing/pandasutils.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/python/pyspark/testing/pandasutils.py b/python/pyspark/testing/pandasutils.py
index 04a523bce7640..2463289d59f71 100644
--- a/python/pyspark/testing/pandasutils.py
+++ b/python/pyspark/testing/pandasutils.py
@@ -367,8 +367,6 @@ def assertPandasOnSparkEqual(
 
     .. deprecated:: 3.5.1
         `assertPandasOnSparkEqual` will be removed in Spark 4.0.0.
-        Use `ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal`
-        and `ps.testing.assert_index_equal` instead.
 
     Parameters
     ----------
@@ -423,9 +421,7 @@ def assertPandasOnSparkEqual(
     >>> assertPandasOnSparkEqual(s1, s2, almost=True)  # pass, ps.Index obj are almost equal
     """
     warnings.warn(
-        "`assertPandasOnSparkEqual` will be removed in Spark 4.0.0. "
-        "Use `ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal` "
-        "and `ps.testing.assert_index_equal` instead.",
+        "`assertPandasOnSparkEqual` will be removed in Spark 4.0.0. ",
         FutureWarning,
     )
     if actual is None and expected is None:

From 6c55a6c0c680f80a6cdef7f1a83045b6400b4d09 Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@databricks.com>
Date: Sun, 22 Oct 2023 10:53:22 +0500
Subject: [PATCH 446/986] [SPARK-45604][SQL] Add LogicalType checking on INT64
 -> DateTime conversion on Parquet Vectorized Reader

### What changes were proposed in this pull request?

Currently, the read logical type is not checked while converting physical types INT64 into DateTime. One valid scenario where this can break is where the physical type is `timestamp_ntz`, and the logical type is `array<timestamp_ntz>`, since the logical type check does not happen, this conversion is allowed. However, the vectorized reader does not support this and will produce NPE on on-heap memory mode and SEGFAULT on off-heap memory mode. Segmentation fault on off-heap memory mode can be prevented by having an explicit boundary check on OffHeapColumnVector, but this is outside of the scope of this PR, and will be done here: https://github.com/apache/spark/pull/43452.

### Why are the changes needed?
Prevent NPE or Segfault from happening.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

A new test is added in `ParquetSchemaSuite`.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43451 from majdyz/SPARK-45604.

Lead-authored-by: Zamil Majdy <zamil.majdy@databricks.com>
Co-authored-by: Zamil Majdy <zamil.majdy@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 13b67ee8cc377a5cc47d02b9addbc00eabfc8b6c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../parquet/ParquetVectorUpdaterFactory.java  | 10 +++++++--
 .../parquet/ParquetSchemaSuite.scala          | 21 +++++++++++++++++++
 2 files changed, 29 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
index 15d58f0c7572a..42442cf8ea8a4 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
@@ -109,7 +109,8 @@ public ParquetVectorUpdater getUpdater(ColumnDescriptor descriptor, DataType spa
           // For unsigned int64, it stores as plain signed int64 in Parquet when dictionary
           // fallbacks. We read them as decimal values.
           return new UnsignedLongUpdater();
-        } else if (isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MICROS)) {
+        } else if (isTimestamp(sparkType) &&
+            isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MICROS)) {
           validateTimestampType(sparkType);
           if ("CORRECTED".equals(datetimeRebaseMode)) {
             return new LongUpdater();
@@ -117,7 +118,8 @@ public ParquetVectorUpdater getUpdater(ColumnDescriptor descriptor, DataType spa
             boolean failIfRebase = "EXCEPTION".equals(datetimeRebaseMode);
             return new LongWithRebaseUpdater(failIfRebase, datetimeRebaseTz);
           }
-        } else if (isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MILLIS)) {
+        } else if (isTimestamp(sparkType) &&
+            isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MILLIS)) {
           validateTimestampType(sparkType);
           if ("CORRECTED".equals(datetimeRebaseMode)) {
             return new LongAsMicrosUpdater();
@@ -1150,6 +1152,10 @@ private static boolean isLongDecimal(DataType dt) {
     return false;
   }
 
+  private static boolean isTimestamp(DataType dt) {
+    return dt == DataTypes.TimestampType || dt == DataTypes.TimestampNTZType;
+  }
+
   private static boolean isDecimalTypeMatched(ColumnDescriptor descriptor, DataType dt) {
     DecimalType d = (DecimalType) dt;
     LogicalTypeAnnotation typeAnnotation = descriptor.getPrimitiveType().getLogicalTypeAnnotation();
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
index facc9b90ff778..3f47c5e506ffd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
@@ -1087,6 +1087,27 @@ class ParquetSchemaSuite extends ParquetSchemaTest {
     }
   }
 
+  test("SPARK-45604: schema mismatch failure error on timestamp_ntz to array<timestamp_ntz>") {
+    import testImplicits._
+
+    withTempPath { dir =>
+      val path = dir.getCanonicalPath
+      val timestamp = java.time.LocalDateTime.of(1, 2, 3, 4, 5)
+      val df1 = Seq((1, timestamp)).toDF()
+      val df2 = Seq((2, Array(timestamp))).toDF()
+      df1.write.mode("overwrite").parquet(s"$path/parquet")
+      df2.write.mode("append").parquet(s"$path/parquet")
+
+      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "true") {
+        val e = intercept[SparkException] {
+          spark.read.schema(df2.schema).parquet(s"$path/parquet").collect()
+        }
+        assert(e.getCause.isInstanceOf[SparkException])
+        assert(e.getCause.getCause.isInstanceOf[SchemaColumnConvertNotSupportedException])
+      }
+    }
+  }
+
   test("SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with nanosAsLong=true)") {
     val tsAttribute = "birthday"
     withSQLConf(SQLConf.LEGACY_PARQUET_NANOS_AS_LONG.key -> "true") {

From 75a38b9024af3c9cfd85e916c46359f7e7315c87 Mon Sep 17 00:00:00 2001
From: Ankur Dave <ankurdave@gmail.com>
Date: Mon, 23 Oct 2023 10:47:42 +0800
Subject: [PATCH 447/986] [SPARK-45616][CORE] Avoid ParVector, which does not
 propagate ThreadLocals or SparkSession
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
`CastSuiteBase` and `ExpressionInfoSuite` use `ParVector.foreach()` to run Spark SQL queries in parallel. They incorrectly assume that each parallel operation will inherit the main thread’s active SparkSession. This is only true when these parallel operations run in freshly-created threads. However, when other code has already run some parallel operations before Spark was started, then there may be existing threads that do not have an active SparkSession. In that case, these tests fail with NullPointerExceptions when creating SparkPlans or running SQL queries.

The fix is to use the existing method `ThreadUtils.parmap()`. This method creates fresh threads that inherit the current active SparkSession, and it propagates the Spark ThreadLocals.

This PR also adds a scalastyle warning against use of ParVector.

### Why are the changes needed?
This change makes `CastSuiteBase` and `ExpressionInfoSuite` less brittle to future changes that may run parallel operations during test startup.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Reproduced the test failures by running a ParVector operation before Spark starts. Verified that this PR fixes the test failures in this condition.

```scala
  protected override def beforeAll(): Unit = {
    // Run a ParVector operation before initializing the SparkSession. This starts some Scala
    // execution context threads that have no active SparkSession. These threads will be reused for
    // later ParVector operations, reproducing SPARK-45616.
    new ParVector((0 until 100).toVector).foreach { _ => }

    super.beforeAll()
  }
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43466 from ankurdave/SPARK-45616.

Authored-by: Ankur Dave <ankurdave@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 376de8a502fca6b46d7f21560a60024d643144ea)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../main/scala/org/apache/spark/rdd/UnionRDD.scala   |  2 ++
 .../scala/org/apache/spark/util/ThreadUtils.scala    |  4 ++++
 scalastyle-config.xml                                | 12 ++++++++++++
 .../sql/catalyst/expressions/CastSuiteBase.scala     |  9 ++++++---
 .../org/apache/spark/sql/execution/command/ddl.scala |  2 ++
 .../spark/sql/expressions/ExpressionInfoSuite.scala  | 11 ++++++-----
 .../org/apache/spark/streaming/DStreamGraph.scala    |  4 ++++
 .../streaming/util/FileBasedWriteAheadLog.scala      |  2 ++
 8 files changed, 38 insertions(+), 8 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala b/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala
index 0a93023443704..3c1451a01850d 100644
--- a/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala
@@ -76,8 +76,10 @@ class UnionRDD[T: ClassTag](
 
   override def getPartitions: Array[Partition] = {
     val parRDDs = if (isPartitionListingParallel) {
+      // scalastyle:off parvector
       val parArray = new ParVector(rdds.toVector)
       parArray.tasksupport = UnionRDD.partitionEvalTaskSupport
+      // scalastyle:on parvector
       parArray
     } else {
       rdds
diff --git a/core/src/main/scala/org/apache/spark/util/ThreadUtils.scala b/core/src/main/scala/org/apache/spark/util/ThreadUtils.scala
index 16d7de56c39eb..2d3d6ec89ffbd 100644
--- a/core/src/main/scala/org/apache/spark/util/ThreadUtils.scala
+++ b/core/src/main/scala/org/apache/spark/util/ThreadUtils.scala
@@ -363,6 +363,10 @@ private[spark] object ThreadUtils {
    * Comparing to the map() method of Scala parallel collections, this method can be interrupted
    * at any time. This is useful on canceling of task execution, for example.
    *
+   * Functions are guaranteed to be executed in freshly-created threads that inherit the calling
+   * thread's Spark thread-local variables. These threads also inherit the calling thread's active
+   * SparkSession.
+   *
    * @param in - the input collection which should be transformed in parallel.
    * @param prefix - the prefix assigned to the underlying thread pool.
    * @param maxThreads - maximum number of thread can be created during execution.
diff --git a/scalastyle-config.xml b/scalastyle-config.xml
index 74e8480deaff7..0ccd937e72e88 100644
--- a/scalastyle-config.xml
+++ b/scalastyle-config.xml
@@ -227,6 +227,18 @@ This file is divided into 3 sections:
     ]]></customMessage>
   </check>
 
+  <check customId="parvector" level="error" class="org.scalastyle.file.RegexChecker" enabled="true">
+    <parameters><parameter name="regex">new.*ParVector</parameter></parameters>
+    <customMessage><![CDATA[
+      Are you sure you want to create a ParVector? It will not automatically propagate Spark ThreadLocals or the
+      active SparkSession for the submitted tasks. In most cases, you should use ThreadUtils.parmap instead.
+      If you must use ParVector, then wrap your creation of the ParVector with
+      // scalastyle:off parvector
+      ...ParVector...
+      // scalastyle:on parvector
+    ]]></customMessage>
+  </check>
+
   <check customId="caselocale" level="error" class="org.scalastyle.file.RegexChecker" enabled="true">
     <parameters><parameter name="regex">(\.toUpperCase|\.toLowerCase)(?!(\(|\(Locale.ROOT\)))</parameter></parameters>
     <customMessage><![CDATA[
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
index 0172fd9b3e4c7..1ce311a5544fa 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
@@ -22,8 +22,6 @@ import java.time.{Duration, LocalDate, LocalDateTime, Period}
 import java.time.temporal.ChronoUnit
 import java.util.{Calendar, Locale, TimeZone}
 
-import scala.collection.parallel.immutable.ParVector
-
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.InternalRow
@@ -42,6 +40,7 @@ import org.apache.spark.sql.types.DayTimeIntervalType.{DAY, HOUR, MINUTE, SECOND
 import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 import org.apache.spark.sql.types.YearMonthIntervalType.{MONTH, YEAR}
 import org.apache.spark.unsafe.types.UTF8String
+import org.apache.spark.util.ThreadUtils
 
 /**
  * Common test suite for [[Cast]] with ansi mode on and off. It only includes test cases that work
@@ -126,7 +125,11 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
   }
 
   test("cast string to timestamp") {
-    new ParVector(ALL_TIMEZONES.toVector).foreach { zid =>
+    ThreadUtils.parmap(
+      ALL_TIMEZONES,
+      prefix = "CastSuiteBase-cast-string-to-timestamp",
+      maxThreads = Runtime.getRuntime.availableProcessors
+    ) { zid =>
       def checkCastStringToTimestamp(str: String, expected: Timestamp): Unit = {
         checkEvaluation(cast(Literal(str), TimestampType, Option(zid.getId)), expected)
       }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala
index a8f7cdb260010..bb8fea71019fe 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala
@@ -755,8 +755,10 @@ case class RepairTableCommand(
     val statusPar: Seq[FileStatus] =
       if (partitionNames.length > 1 && statuses.length > threshold || partitionNames.length > 2) {
         // parallelize the list of partitions here, then we can have better parallelism later.
+        // scalastyle:off parvector
         val parArray = new ParVector(statuses.toVector)
         parArray.tasksupport = evalTaskSupport
+        // scalastyle:on parvector
         parArray.seq
       } else {
         statuses
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/expressions/ExpressionInfoSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/expressions/ExpressionInfoSuite.scala
index 4dd93983e87e3..a02137a56aacc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/expressions/ExpressionInfoSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/expressions/ExpressionInfoSuite.scala
@@ -17,8 +17,6 @@
 
 package org.apache.spark.sql.expressions
 
-import scala.collection.parallel.immutable.ParVector
-
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.catalyst.{FunctionIdentifier, InternalRow}
 import org.apache.spark.sql.catalyst.expressions._
@@ -26,7 +24,7 @@ import org.apache.spark.sql.execution.HiveResult.hiveResultString
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.tags.SlowSQLTest
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{ThreadUtils, Utils}
 
 @SlowSQLTest
 class ExpressionInfoSuite extends SparkFunSuite with SharedSparkSession {
@@ -197,8 +195,11 @@ class ExpressionInfoSuite extends SparkFunSuite with SharedSparkSession {
       // The encrypt expression includes a random initialization vector to its encrypted result
       classOf[AesEncrypt].getName)
 
-    val parFuncs = new ParVector(spark.sessionState.functionRegistry.listFunction().toVector)
-    parFuncs.foreach { funcId =>
+    ThreadUtils.parmap(
+      spark.sessionState.functionRegistry.listFunction(),
+      prefix = "ExpressionInfoSuite-check-outputs-of-expression-examples",
+      maxThreads = Runtime.getRuntime.availableProcessors
+    ) { funcId =>
       // Examples can change settings. We clone the session to prevent tests clashing.
       val clonedSpark = spark.cloneSession()
       // Coalescing partitions can change result order, so disable it.
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala b/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala
index 43aaa7e1eeaec..a8f55c8b4d641 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala
@@ -52,7 +52,9 @@ final private[streaming] class DStreamGraph extends Serializable with Logging {
       outputStreams.foreach(_.validateAtStart())
       numReceivers = inputStreams.count(_.isInstanceOf[ReceiverInputDStream[_]])
       inputStreamNameAndID = inputStreams.map(is => (is.name, is.id)).toSeq
+      // scalastyle:off parvector
       new ParVector(inputStreams.toVector).foreach(_.start())
+      // scalastyle:on parvector
     }
   }
 
@@ -62,7 +64,9 @@ final private[streaming] class DStreamGraph extends Serializable with Logging {
 
   def stop(): Unit = {
     this.synchronized {
+      // scalastyle:off parvector
       new ParVector(inputStreams.toVector).foreach(_.stop())
+      // scalastyle:on parvector
     }
   }
 
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala
index d1f9dfb791355..4e65bc75e4395 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala
@@ -314,8 +314,10 @@ private[streaming] object FileBasedWriteAheadLog {
     val groupSize = taskSupport.parallelismLevel.max(8)
 
     source.grouped(groupSize).flatMap { group =>
+      // scalastyle:off parvector
       val parallelCollection = new ParVector(group.toVector)
       parallelCollection.tasksupport = taskSupport
+      // scalastyle:on parvector
       parallelCollection.map(handler)
     }.flatten
   }

From 06f48855d7b9e0cd0b02b6f7884af39ce1a5f68c Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Mon, 23 Oct 2023 21:12:01 +0900
Subject: [PATCH 448/986] [SPARK-45631][SS][PYSPARK] Remove @abstractmethod
 from onQueryIdle in PySpark StreamingQueryListener

### What changes were proposed in this pull request?

Credit to anish-db for the initial investigation and the fix.

This PR proposes to remove `abstractmethod` annotation from `onQueryIdle` in PySpark StreamingQueryListener.

The function `onQueryIdle` was added with the annotation `abstractmethod`, which does not pick up default implementation and enforces users to implement the new method. This breaks all existing streaming query listener implementations and enforces them to add the dummy function implementation at least.

This PR re-allows existing implementations to work properly without explicitly adding a new function `onQueryIdle`.

### Why are the changes needed?

We broke backward compatibility in [SPARK-43183](https://issues.apache.org/jira/browse/SPARK-43183) and we want to fix it.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Modified tests. Now tests are verifying two different implementations covering old interface vs new interface.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43483 from HeartSaVioR/SPARK-45631.

Lead-authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Co-authored-by: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 75bc5ac9f2b07bc894091b8b15682ee906a19356)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 python/pyspark/sql/streaming/listener.py      |   4 +-
 .../streaming/test_streaming_listener.py      | 117 ++++++++++++------
 2 files changed, 82 insertions(+), 39 deletions(-)

diff --git a/python/pyspark/sql/streaming/listener.py b/python/pyspark/sql/streaming/listener.py
index 16f40396490c7..3a0f30872dc8c 100644
--- a/python/pyspark/sql/streaming/listener.py
+++ b/python/pyspark/sql/streaming/listener.py
@@ -107,7 +107,9 @@ def onQueryProgress(self, event: "QueryProgressEvent") -> None:
         """
         pass
 
-    @abstractmethod
+    # NOTE: Do not mark this as abstract method, since we released this abstract class without
+    # this method in prior version and marking this as abstract method would break existing
+    # implementations.
     def onQueryIdle(self, event: "QueryIdleEvent") -> None:
         """
         Called when the query is idle and waiting for new data to process.
diff --git a/python/pyspark/sql/tests/streaming/test_streaming_listener.py b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
index 87d0dae00d8bd..05c1ec71675c2 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming_listener.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming_listener.py
@@ -251,7 +251,23 @@ def test_listener_events(self):
         progress_event = None
         terminated_event = None
 
-        class TestListener(StreamingQueryListener):
+        # V1: Initial interface of StreamingQueryListener containing methods `onQueryStarted`,
+        # `onQueryProgress`, `onQueryTerminated`. It is prior to Spark 3.5.
+        class TestListenerV1(StreamingQueryListener):
+            def onQueryStarted(self, event):
+                nonlocal start_event
+                start_event = event
+
+            def onQueryProgress(self, event):
+                nonlocal progress_event
+                progress_event = event
+
+            def onQueryTerminated(self, event):
+                nonlocal terminated_event
+                terminated_event = event
+
+        # V2: The interface after the method `onQueryIdle` is added. It is Spark 3.5+.
+        class TestListenerV2(StreamingQueryListener):
             def onQueryStarted(self, event):
                 nonlocal start_event
                 start_event = event
@@ -267,48 +283,71 @@ def onQueryTerminated(self, event):
                 nonlocal terminated_event
                 terminated_event = event
 
-        test_listener = TestListener()
+        def verify(test_listener):
+            nonlocal start_event
+            nonlocal progress_event
+            nonlocal terminated_event
 
-        try:
-            self.spark.streams.addListener(test_listener)
+            start_event = None
+            progress_event = None
+            terminated_event = None
 
-            df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
+            try:
+                self.spark.streams.addListener(test_listener)
 
-            # check successful stateful query
-            df_stateful = df.groupBy().count()  # make query stateful
-            q = (
-                df_stateful.writeStream.format("noop")
-                .queryName("test")
-                .outputMode("complete")
-                .start()
-            )
-            self.assertTrue(q.isActive)
-            time.sleep(10)
-            q.stop()
+                df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
 
-            # Make sure all events are empty
-            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
+                # check successful stateful query
+                df_stateful = df.groupBy().count()  # make query stateful
+                q = (
+                    df_stateful.writeStream.format("noop")
+                    .queryName("test")
+                    .outputMode("complete")
+                    .start()
+                )
+                self.assertTrue(q.isActive)
+                time.sleep(10)
+                q.stop()
 
-            self.check_start_event(start_event)
-            self.check_progress_event(progress_event)
-            self.check_terminated_event(terminated_event)
+                # Make sure all events are empty
+                self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
 
-            # Check query terminated with exception
-            from pyspark.sql.functions import col, udf
+                self.check_start_event(start_event)
+                self.check_progress_event(progress_event)
+                self.check_terminated_event(terminated_event)
 
-            bad_udf = udf(lambda x: 1 / 0)
-            q = df.select(bad_udf(col("value"))).writeStream.format("noop").start()
-            time.sleep(5)
-            q.stop()
-            self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
-            self.check_terminated_event(terminated_event, "ZeroDivisionError")
+                # Check query terminated with exception
+                from pyspark.sql.functions import col, udf
 
-        finally:
-            self.spark.streams.removeListener(test_listener)
+                bad_udf = udf(lambda x: 1 / 0)
+                q = df.select(bad_udf(col("value"))).writeStream.format("noop").start()
+                time.sleep(5)
+                q.stop()
+                self.spark.sparkContext._jsc.sc().listenerBus().waitUntilEmpty()
+                self.check_terminated_event(terminated_event, "ZeroDivisionError")
+
+            finally:
+                self.spark.streams.removeListener(test_listener)
+
+        verify(TestListenerV1())
+        verify(TestListenerV2())
 
     def test_remove_listener(self):
         # SPARK-38804: Test StreamingQueryManager.removeListener
-        class TestListener(StreamingQueryListener):
+        # V1: Initial interface of StreamingQueryListener containing methods `onQueryStarted`,
+        # `onQueryProgress`, `onQueryTerminated`. It is prior to Spark 3.5.
+        class TestListenerV1(StreamingQueryListener):
+            def onQueryStarted(self, event):
+                pass
+
+            def onQueryProgress(self, event):
+                pass
+
+            def onQueryTerminated(self, event):
+                pass
+
+        # V2: The interface after the method `onQueryIdle` is added. It is Spark 3.5+.
+        class TestListenerV2(StreamingQueryListener):
             def onQueryStarted(self, event):
                 pass
 
@@ -321,13 +360,15 @@ def onQueryIdle(self, event):
             def onQueryTerminated(self, event):
                 pass
 
-        test_listener = TestListener()
+        def verify(test_listener):
+            num_listeners = len(self.spark.streams._jsqm.listListeners())
+            self.spark.streams.addListener(test_listener)
+            self.assertEqual(num_listeners + 1, len(self.spark.streams._jsqm.listListeners()))
+            self.spark.streams.removeListener(test_listener)
+            self.assertEqual(num_listeners, len(self.spark.streams._jsqm.listListeners()))
 
-        num_listeners = len(self.spark.streams._jsqm.listListeners())
-        self.spark.streams.addListener(test_listener)
-        self.assertEqual(num_listeners + 1, len(self.spark.streams._jsqm.listListeners()))
-        self.spark.streams.removeListener(test_listener)
-        self.assertEqual(num_listeners, len(self.spark.streams._jsqm.listListeners()))
+        verify(TestListenerV1())
+        verify(TestListenerV2())
 
     def test_query_started_event_fromJson(self):
         start_event = """

From da08382faf101aeada757e28ebca24ffe8f5bb8e Mon Sep 17 00:00:00 2001
From: Vitalii Li <vitalii.li@databricks.com>
Date: Tue, 24 Oct 2023 15:13:00 +0800
Subject: [PATCH 449/986] [SPARK-45430] Fix for FramelessOffsetWindowFunction
 when IGNORE NULLS and offset > rowCount

### What changes were proposed in this pull request?

This is a fix for the failure when function that utilized `FramelessOffsetWindowFunctionFrame` is used with `ignoreNulls = true` and `offset > rowCount`.

e.g.

```
select x, lead(x, 5) IGNORE NULLS over (order by x) from (select explode(sequence(1, 3)) x)
```

### Why are the changes needed?

Fix existing bug

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Modify existing unit test to cover this case

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43236 from vitaliili-db/SPARK-45430.

Authored-by: Vitalii Li <vitalii.li@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 32e1e58411913517c87d7e75942437f4e1c1d40e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../window/WindowFunctionFrame.scala          |  6 ++-
 .../sql/DataFrameWindowFunctionsSuite.scala   | 40 ++++++++++---------
 2 files changed, 27 insertions(+), 19 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala
index 2b7f702a7f20a..a849c3894f0d6 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala
@@ -201,7 +201,11 @@ class FrameLessOffsetWindowFunctionFrame(
   override def prepare(rows: ExternalAppendOnlyUnsafeRowArray): Unit = {
     resetStates(rows)
     if (ignoreNulls) {
-      findNextRowWithNonNullInput()
+      if (Math.abs(offset) > rows.length) {
+        fillDefaultValue(EmptyRow)
+      } else {
+        findNextRowWithNonNullInput()
+      }
     } else {
       // drain the first few rows if offset is larger than zero
       while (inputIndex < offset) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
index 47380db421734..47a311c71d55d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
@@ -819,6 +819,8 @@ class DataFrameWindowFunctionsSuite extends QueryTest
         lead($"value", 1, null, true).over(window),
         lead($"value", 2, null, true).over(window),
         lead($"value", 3, null, true).over(window),
+        // offset > rowCount: SPARK-45430
+        lead($"value", 100, null, true).over(window),
         lead(concat($"value", $"key"), 1, null, true).over(window),
         lag($"value", 1).over(window),
         lag($"value", 2).over(window),
@@ -826,27 +828,29 @@ class DataFrameWindowFunctionsSuite extends QueryTest
         lag($"value", 1, null, true).over(window),
         lag($"value", 2, null, true).over(window),
         lag($"value", 3, null, true).over(window),
+        // abs(offset) > rowCount: SPARK-45430
+        lag($"value", -100, null, true).over(window),
         lag(concat($"value", $"key"), 1, null, true).over(window))
         .orderBy($"order"),
       Seq(
-        Row("a", 0, null, "x", null, null, "x", "y", "z", "xa",
-          null, null, null, null, null, null, null),
-        Row("a", 1, "x", null, null, "x", "y", "z", "v", "ya",
-          null, null, "x", null, null, null, null),
-        Row("b", 2, null, null, "y", null, "y", "z", "v", "ya",
-          "x", null, null, "x", null, null, "xa"),
-        Row("c", 3, null, "y", null, null, "y", "z", "v", "ya",
-          null, "x", null, "x", null, null, "xa"),
-        Row("a", 4, "y", null, "z", "y", "z", "v", null, "za",
-          null, null, "y", "x", null, null, "xa"),
-        Row("b", 5, null, "z", "v", null, "z", "v", null, "za",
-          "y", null, null, "y", "x", null, "ya"),
-        Row("a", 6, "z", "v", null, "z", "v", null, null, "va",
-          null, "y", "z", "y", "x", null, "ya"),
-        Row("a", 7, "v", null, null, "v", null, null, null, null,
-          "z", null, "v", "z", "y", "x", "za"),
-        Row("a", 8, null, null, null, null, null, null, null, null,
-          "v", "z", null, "v", "z", "y", "va")))
+        Row("a", 0, null, "x", null, null, "x", "y", "z", null, "xa",
+          null, null, null, null, null, null, null, null),
+        Row("a", 1, "x", null, null, "x", "y", "z", "v", null, "ya",
+          null, null, "x", null, null, null, null, null),
+        Row("b", 2, null, null, "y", null, "y", "z", "v", null, "ya",
+          "x", null, null, "x", null, null, null, "xa"),
+        Row("c", 3, null, "y", null, null, "y", "z", "v", null, "ya",
+          null, "x", null, "x", null, null, null, "xa"),
+        Row("a", 4, "y", null, "z", "y", "z", "v", null, null, "za",
+          null, null, "y", "x", null, null, null, "xa"),
+        Row("b", 5, null, "z", "v", null, "z", "v", null, null, "za",
+          "y", null, null, "y", "x", null, null, "ya"),
+        Row("a", 6, "z", "v", null, "z", "v", null, null, null, "va",
+          null, "y", "z", "y", "x", null, null, "ya"),
+        Row("a", 7, "v", null, null, "v", null, null, null, null, null,
+          "z", null, "v", "z", "y", "x", null, "za"),
+        Row("a", 8, null, null, null, null, null, null, null, null, null,
+          "v", "z", null, "v", "z", "y", null, "va")))
   }
 
   test("lag - Offset expression <offset> must be a literal") {

From ddccf5add8f5aa35693c4120f0b161a74379aec9 Mon Sep 17 00:00:00 2001
From: Michael Zhang <m.zhang@databricks.com>
Date: Tue, 24 Oct 2023 14:51:45 +0500
Subject: [PATCH 450/986] [SPARK-45561][SQL] Add proper conversions for TINYINT
 in MySQLDialect

### What changes were proposed in this pull request?

Change MySql Dialect to convert catalyst TINYINT into MySQL TINYINT rather than BYTE and INTEGER. BYTE does not exist in MySQL. The same applies to MsSqlServerDialect.

### Why are the changes needed?

Since BYTE type does not exist in MySQL, any casts that could be pushed down involving BYTE type would fail.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

UT pass.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43390 from michaelzhan-db/SPARK-45561.

Lead-authored-by: Michael Zhang <m.zhang@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 5092c8970246eb828a31154796c3b16f0b61bddd)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala | 8 +++++---
 .../scala/org/apache/spark/sql/jdbc/MySQLDialect.scala    | 5 ++++-
 .../test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala  | 2 ++
 3 files changed, 11 insertions(+), 4 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
index dc3acb66ff1f4..20fdc965874ff 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
@@ -56,10 +56,10 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
 
     conn.prepareStatement("CREATE TABLE numbers (onebit BIT(1), tenbits BIT(10), "
       + "small SMALLINT, med MEDIUMINT, nor INT, big BIGINT, deci DECIMAL(40,20), flt FLOAT, "
-      + "dbl DOUBLE)").executeUpdate()
+      + "dbl DOUBLE, tiny TINYINT)").executeUpdate()
     conn.prepareStatement("INSERT INTO numbers VALUES (b'0', b'1000100101', "
       + "17, 77777, 123456789, 123456789012345, 123456789012345.123456789012345, "
-      + "42.75, 1.0000000000000002)").executeUpdate()
+      + "42.75, 1.0000000000000002, -128)").executeUpdate()
 
     conn.prepareStatement("CREATE TABLE dates (d DATE, t TIME, dt DATETIME, ts TIMESTAMP, "
       + "yr YEAR)").executeUpdate()
@@ -89,7 +89,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     val rows = df.collect()
     assert(rows.length == 1)
     val types = rows(0).toSeq.map(x => x.getClass.toString)
-    assert(types.length == 9)
+    assert(types.length == 10)
     assert(types(0).equals("class java.lang.Boolean"))
     assert(types(1).equals("class java.lang.Long"))
     assert(types(2).equals("class java.lang.Integer"))
@@ -99,6 +99,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(types(6).equals("class java.math.BigDecimal"))
     assert(types(7).equals("class java.lang.Double"))
     assert(types(8).equals("class java.lang.Double"))
+    assert(types(9).equals("class java.lang.Byte"))
     assert(rows(0).getBoolean(0) == false)
     assert(rows(0).getLong(1) == 0x225)
     assert(rows(0).getInt(2) == 17)
@@ -109,6 +110,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(rows(0).getAs[BigDecimal](6).equals(bd))
     assert(rows(0).getDouble(7) == 42.75)
     assert(rows(0).getDouble(8) == 1.0000000000000002)
+    assert(rows(0).getByte(9) == 0x80.toByte)
   }
 
   test("Date types") {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index a08c89318b660..c7e14cc78d5bf 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.connector.catalog.index.TableIndex
 import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, NamedReference, NullOrdering, SortDirection}
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JdbcUtils}
-import org.apache.spark.sql.types.{BooleanType, DataType, FloatType, LongType, MetadataBuilder, StringType}
+import org.apache.spark.sql.types.{BooleanType, ByteType, DataType, FloatType, LongType, MetadataBuilder, StringType}
 
 private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
 
@@ -102,6 +102,8 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
       // Some MySQL JDBC drivers converts JSON type into Types.VARCHAR with a precision of -1.
       // Explicitly converts it into StringType here.
       Some(StringType)
+    } else if (sqlType == Types.TINYINT && typeName.equals("TINYINT")) {
+      Some(ByteType)
     } else None
   }
 
@@ -184,6 +186,7 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
     // We override getJDBCType so that FloatType is mapped to FLOAT instead
     case FloatType => Option(JdbcType("FLOAT", java.sql.Types.FLOAT))
     case StringType => Option(JdbcType("LONGTEXT", java.sql.Types.LONGVARCHAR))
+    case ByteType => Option(JdbcType("TINYINT", java.sql.Types.TINYINT))
     case _ => JdbcUtils.getCommonJDBCType(dt)
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index eae171e20b706..71c7245b06090 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -914,6 +914,8 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     assert(mySqlDialect.getCatalystType(java.sql.Types.VARBINARY, "BIT", 1, metadata) == None)
     assert(mySqlDialect.getCatalystType(java.sql.Types.BIT, "TINYINT", 1, metadata) ==
       Some(BooleanType))
+    assert(mySqlDialect.getCatalystType(java.sql.Types.TINYINT, "TINYINT", 1, metadata) ==
+      Some(ByteType))
   }
 
   test("SPARK-35446: MySQLDialect type mapping of float") {

From 26f6663d76849e1aa16833398082ba9b4a2e73af Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Wed, 25 Oct 2023 15:59:00 +0900
Subject: [PATCH 451/986] [SPARK-45588][SPARK-45640][SQL][TESTS][3.5] Fix flaky
 ProtobufCatalystDataConversionSuite

### What changes were proposed in this pull request?
The pr aims to fix flaky ProtobufCatalystDataConversionSuite, include:
- Fix the type check (when the random value was empty array, we didn't skip it. Original intention is to skip default values for types.) [SPARK-45588]
- When data.get(0) is null, data.get(0).asInstanceOf[Array[Byte]].isEmpty will be thrown java.lang.NullPointerException. [SPARK-45640]

Backport above to branch 3.5.
Master branch pr: https://github.com/apache/spark/pull/43424 & https://github.com/apache/spark/pull/43493

### Why are the changes needed?
Fix flaky ProtobufCatalystDataConversionSuite.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Pass GA
- Manually test

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43521 from panbingkun/branch-3.5_SPARK-45640.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/protobuf/ProtobufCatalystDataConversionSuite.scala     | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala b/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
index d3e63a11a66bf..b7f17fece5fa6 100644
--- a/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
+++ b/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
@@ -137,7 +137,8 @@ class ProtobufCatalystDataConversionSuite
       while (
         data != null &&
         (data.get(0) == defaultValue ||
-          (dt == BinaryType &&
+          (dt.fields(0).dataType == BinaryType &&
+            data.get(0) != null &&
             data.get(0).asInstanceOf[Array[Byte]].isEmpty)))
         data = generator().asInstanceOf[Row]
 

From 9e4411e2450d0503933626207b5e03308c30bc72 Mon Sep 17 00:00:00 2001
From: Paul Staab <paulstaab@users.noreply.github.com>
Date: Wed, 25 Oct 2023 07:36:15 -0500
Subject: [PATCH 452/986] [SPARK-40154][PYTHON][DOCS] Correct storage level in
 Dataframe.cache docstring

### What changes were proposed in this pull request?
Corrects the docstring `DataFrame.cache` to give the correct storage level after it changed with Spark 3.0. It seems that the docstring of `DataFrame.persist` was updated, but `cache` was forgotten.

### Why are the changes needed?
The doctoring claims that `cache` uses serialised storage, but it actually uses deserialised storage. I confirmed that this is still the case with Spark 3.5.0 using the example code from the Jira ticket.

### Does this PR introduce _any_ user-facing change?
Yes, the docstring changes.

### How was this patch tested?
The Github actions workflow succeeded.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43229 from paulstaab/SPARK-40154.

Authored-by: Paul Staab <paulstaab@users.noreply.github.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
(cherry picked from commit 94607dd001b133a25dc9865f25b3f9e7f5a5daa3)
Signed-off-by: Sean Owen <srowen@gmail.com>
---
 python/pyspark/sql/dataframe.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 30ed73d3c47b0..5707ae2a31fec 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -1485,7 +1485,7 @@ def foreachPartition(self, f: Callable[[Iterator[Row]], None]) -> None:
         self.rdd.foreachPartition(f)  # type: ignore[arg-type]
 
     def cache(self) -> "DataFrame":
-        """Persists the :class:`DataFrame` with the default storage level (`MEMORY_AND_DISK`).
+        """Persists the :class:`DataFrame` with the default storage level (`MEMORY_AND_DISK_DESER`).
 
         .. versionadded:: 1.3.0
 
@@ -1494,7 +1494,7 @@ def cache(self) -> "DataFrame":
 
         Notes
         -----
-        The default storage level has changed to `MEMORY_AND_DISK` to match Scala in 2.0.
+        The default storage level has changed to `MEMORY_AND_DISK_DESER` to match Scala in 3.0.
 
         Returns
         -------

From 1b77c6556060a921af2158896d2693c08e622624 Mon Sep 17 00:00:00 2001
From: Chao Sun <sunchao@apple.com>
Date: Thu, 26 Oct 2023 13:53:30 -0700
Subject: [PATCH 453/986] [SPARK-45652][SQL][3.5] SPJ: Handle empty input
 partitions after dynamic filtering

This is a cherry-pick of https://github.com/apache/spark/pull/43531 to branch-3.5, with a few modifications.

### What changes were proposed in this pull request?

Handle the case when input partitions become empty after V2 dynamic filtering, when SPJ is enabled.

### Why are the changes needed?

Current in the situation when all input partitions are filtered out via dynamic filtering, SPJ doesn't work but instead will panic:
```
java.util.NoSuchElementException: None.get
	at scala.None$.get(Option.scala:529)
	at scala.None$.get(Option.scala:527)
	at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.filteredPartitions$lzycompute(BatchScanExec.scala:108)
	at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.filteredPartitions(BatchScanExec.scala:65)
	at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputRDD$lzycompute(BatchScanExec.scala:136)
	at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputRDD(BatchScanExec.scala:135)
	at org.apache.spark.sql.boson.BosonBatchScanExec.inputRDD$lzycompute(BosonBatchScanExec.scala:28)
```

This is because the `groupPartitions` method will return `None` in this scenario. We should handle the case.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added a test case for this.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43540 from sunchao/SPARK-45652-branch-3.5.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../datasources/v2/BatchScanExec.scala        |  4 +-
 .../KeyGroupedPartitioningSuite.scala         | 42 +++++++++++++++++++
 2 files changed, 44 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
index eba3c71f871e3..2a3a5cdeb82b8 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala
@@ -101,7 +101,7 @@ case class BatchScanExec(
                 "partition values that are not present in the original partitioning.")
           }
 
-          groupPartitions(newPartitions).get.map(_._2)
+          groupPartitions(newPartitions).getOrElse(Seq.empty).map(_._2)
 
         case _ =>
           // no validation is needed as the data source did not report any specific partitioning
@@ -145,7 +145,7 @@ case class BatchScanExec(
                   "is enabled")
 
             val groupedPartitions = groupPartitions(finalPartitions.map(_.head),
-              groupSplits = true).get
+              groupSplits = true).getOrElse(Seq.empty)
 
             // This means the input partitions are not grouped by partition values. We'll need to
             // check `groupByPartitionValues` and decide whether to group and replicate splits
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 8461f528277c3..6b07c77aefb60 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -1095,4 +1095,46 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       }
     }
   }
+
+  test("SPARK-45652: SPJ should handle empty partition after dynamic filtering") {
+    withSQLConf(
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+      SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false",
+      SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true",
+      SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
+      SQLConf.DYNAMIC_PARTITION_PRUNING_FALLBACK_FILTER_RATIO.key -> "10") {
+      val items_partitions = Array(identity("id"))
+      createTable(items, items_schema, items_partitions)
+      sql(s"INSERT INTO testcat.ns.$items VALUES " +
+          s"(1, 'aa', 40.0, cast('2020-01-01' as timestamp)), " +
+          s"(1, 'aa', 41.0, cast('2020-01-15' as timestamp)), " +
+          s"(2, 'bb', 10.0, cast('2020-01-01' as timestamp)), " +
+          s"(2, 'bb', 10.5, cast('2020-01-01' as timestamp)), " +
+          s"(3, 'cc', 15.5, cast('2020-02-01' as timestamp))")
+
+      val purchases_partitions = Array(identity("item_id"))
+      createTable(purchases, purchases_schema, purchases_partitions)
+      sql(s"INSERT INTO testcat.ns.$purchases VALUES " +
+          s"(1, 42.0, cast('2020-01-01' as timestamp)), " +
+          s"(1, 44.0, cast('2020-01-15' as timestamp)), " +
+          s"(1, 45.0, cast('2020-01-15' as timestamp)), " +
+          s"(2, 11.0, cast('2020-01-01' as timestamp)), " +
+          s"(3, 19.5, cast('2020-02-01' as timestamp))")
+
+      Seq(true, false).foreach { pushDownValues =>
+        Seq(true, false).foreach { partiallyClustered => {
+          withSQLConf(
+            SQLConf.V2_BUCKETING_PARTIALLY_CLUSTERED_DISTRIBUTION_ENABLED.key ->
+                partiallyClustered.toString,
+            SQLConf.V2_BUCKETING_PUSH_PART_VALUES_ENABLED.key -> pushDownValues.toString) {
+            // The dynamic filtering effectively filtered out all the partitions
+            val df = sql(s"SELECT p.price from testcat.ns.$items i, testcat.ns.$purchases p " +
+                "WHERE i.id = p.item_id AND i.price > 50.0")
+            checkAnswer(df, Seq.empty)
+          }
+        }
+        }
+      }
+    }
+  }
 }

From e2b92b8812ce6ce590eb5ef8f2661cd73547c6a9 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Fri, 27 Oct 2023 15:25:59 +0900
Subject: [PATCH 454/986] [SPARK-45670][CORE][3.5] SparkSubmit does not support
 `--total-executor-cores` when deploying on K8s

This is the cherry-pick of https://github.com/apache/spark/pull/43536 for branch-3.5

### What changes were proposed in this pull request?

Remove Kubernetes from the support list of `--total-executor-cores` in SparkSubmit

### Why are the changes needed?

`--total-executor-cores` does not take effect in Spark on K8s, [the
comments from original PR](https://github.com/apache/spark/pull/19717#discussion_r154568773) also proves that

### Does this PR introduce _any_ user-facing change?

The output of `spark-submit --help` changed

```patch
...
-  Spark standalone, Mesos and Kubernetes only:
+  Spark standalone and Mesos only:
    --total-executor-cores NUM  Total cores for all executors.
...
```
### How was this patch tested?

Pass GA and review.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43550 from pan3793/SPARK-45670-3.5.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala   | 2 +-
 .../scala/org/apache/spark/deploy/SparkSubmitArguments.scala    | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index 60253ed5fda1f..af35f451e3704 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -683,7 +683,7 @@ private[spark] class SparkSubmit extends Logging {
         confKey = EXECUTOR_CORES.key),
       OptionAssigner(args.executorMemory, STANDALONE | MESOS | YARN | KUBERNETES, ALL_DEPLOY_MODES,
         confKey = EXECUTOR_MEMORY.key),
-      OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS | KUBERNETES, ALL_DEPLOY_MODES,
+      OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS, ALL_DEPLOY_MODES,
         confKey = CORES_MAX.key),
       OptionAssigner(args.files, LOCAL | STANDALONE | MESOS | KUBERNETES, ALL_DEPLOY_MODES,
         confKey = FILES.key),
diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
index a3fe5153bee9f..93dd25db0937b 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
@@ -567,7 +567,7 @@ private[deploy] class SparkSubmitArguments(args: Seq[String], env: Map[String, S
         |  --kill SUBMISSION_ID        If given, kills the driver specified.
         |  --status SUBMISSION_ID      If given, requests the status of the driver specified.
         |
-        | Spark standalone, Mesos and Kubernetes only:
+        | Spark standalone and Mesos only:
         |  --total-executor-cores NUM  Total cores for all executors.
         |
         | Spark standalone, YARN and Kubernetes only:

From d393b50e6d5e64976747c9e84e3787366dbe4280 Mon Sep 17 00:00:00 2001
From: zeruibao <zerui.bao@databricks.com>
Date: Fri, 27 Oct 2023 14:45:33 +0800
Subject: [PATCH 455/986] [SPARK-43380][SQL] Fix slowdown in Avro read

### What changes were proposed in this pull request?
Fix slowdown in Avro read. There is a https://github.com/apache/spark/pull/42503 causes the performance regression. It seems that creating an `AvroOptions` inside `toSqlType` is very expensive. Try to pass this in the callstack.

After regression
![image-20231024-193909](https://github.com/apache/spark/assets/125398515/c6af9376-e058-4da9-8f63-d9e8663b36ef)

Before regression
![image-20231024-193650](https://github.com/apache/spark/assets/125398515/fd609c05-accb-4ce8-8020-2866328a52f7)

### Why are the changes needed?
Need to fix the performance regression of Avro read.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing UT test

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43530 from zeruibao/SPARK-4380-real-fix-regression-2.

Lead-authored-by: zeruibao <zerui.bao@databricks.com>
Co-authored-by: Zerui Bao <125398515+zeruibao@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7d94c5769a8b95a2811e73527fa6ea60f9087901)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/avro/AvroDataToCatalyst.scala   |  3 +-
 .../spark/sql/avro/AvroDeserializer.scala     | 11 ++++---
 .../spark/sql/avro/AvroFileFormat.scala       |  3 +-
 .../spark/sql/avro/SchemaConverters.scala     | 32 ++++++++++++-------
 .../v2/avro/AvroPartitionReaderFactory.scala  |  3 +-
 .../AvroCatalystDataConversionSuite.scala     |  7 ++--
 .../spark/sql/avro/AvroRowReaderSuite.scala   |  3 +-
 .../spark/sql/avro/AvroSerdeSuite.scala       |  3 +-
 .../org/apache/spark/sql/avro/AvroSuite.scala |  2 +-
 9 files changed, 43 insertions(+), 24 deletions(-)

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDataToCatalyst.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDataToCatalyst.scala
index 59f2999bdd395..2c2a45fc3f14f 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDataToCatalyst.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDataToCatalyst.scala
@@ -61,7 +61,8 @@ private[sql] case class AvroDataToCatalyst(
   @transient private lazy val reader = new GenericDatumReader[Any](actualSchema, expectedSchema)
 
   @transient private lazy val deserializer =
-    new AvroDeserializer(expectedSchema, dataType, avroOptions.datetimeRebaseModeInRead)
+    new AvroDeserializer(expectedSchema, dataType,
+      avroOptions.datetimeRebaseModeInRead, avroOptions.useStableIdForUnionType)
 
   @transient private var decoder: BinaryDecoder = _
 
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
index e82116eec1e9c..fe0bd7392b636 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
@@ -49,18 +49,21 @@ private[sql] class AvroDeserializer(
     rootCatalystType: DataType,
     positionalFieldMatch: Boolean,
     datetimeRebaseSpec: RebaseSpec,
-    filters: StructFilters) {
+    filters: StructFilters,
+    useStableIdForUnionType: Boolean) {
 
   def this(
       rootAvroType: Schema,
       rootCatalystType: DataType,
-      datetimeRebaseMode: String) = {
+      datetimeRebaseMode: String,
+      useStableIdForUnionType: Boolean) = {
     this(
       rootAvroType,
       rootCatalystType,
       positionalFieldMatch = false,
       RebaseSpec(LegacyBehaviorPolicy.withName(datetimeRebaseMode)),
-      new NoopFilters)
+      new NoopFilters,
+      useStableIdForUnionType)
   }
 
   private lazy val decimalConversions = new DecimalConversion()
@@ -118,7 +121,7 @@ private[sql] class AvroDeserializer(
     val incompatibleMsg = errorPrefix +
         s"schema is incompatible (avroType = $avroType, sqlType = ${catalystType.sql})"
 
-    val realDataType = SchemaConverters.toSqlType(avroType).dataType
+    val realDataType = SchemaConverters.toSqlType(avroType, useStableIdForUnionType).dataType
     val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA
     val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
 
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala
index 53562a3afdb5b..7b0292df43c2f 100755
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala
@@ -141,7 +141,8 @@ private[sql] class AvroFileFormat extends FileFormat
             requiredSchema,
             parsedOptions.positionalFieldMatching,
             datetimeRebaseMode,
-            avroFilters)
+            avroFilters,
+            parsedOptions.useStableIdForUnionType)
           override val stopPosition = file.start + file.length
 
           override def hasNext: Boolean = hasNextRow
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
index 6f21639e28d68..06abe977e3b08 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
@@ -46,16 +46,24 @@ object SchemaConverters {
    */
   case class SchemaType(dataType: DataType, nullable: Boolean)
 
+  /**
+   * Converts an Avro schema to a corresponding Spark SQL schema.
+   *
+   * @since 4.0.0
+   */
+  def toSqlType(avroSchema: Schema, useStableIdForUnionType: Boolean): SchemaType = {
+    toSqlTypeHelper(avroSchema, Set.empty, useStableIdForUnionType)
+  }
   /**
    * Converts an Avro schema to a corresponding Spark SQL schema.
    *
    * @since 2.4.0
    */
   def toSqlType(avroSchema: Schema): SchemaType = {
-    toSqlTypeHelper(avroSchema, Set.empty, AvroOptions(Map()))
+    toSqlType(avroSchema, false)
   }
   def toSqlType(avroSchema: Schema, options: Map[String, String]): SchemaType = {
-    toSqlTypeHelper(avroSchema, Set.empty, AvroOptions(options))
+    toSqlTypeHelper(avroSchema, Set.empty, AvroOptions(options).useStableIdForUnionType)
   }
 
   // The property specifies Catalyst type of the given field
@@ -64,7 +72,7 @@ object SchemaConverters {
   private def toSqlTypeHelper(
       avroSchema: Schema,
       existingRecordNames: Set[String],
-      avroOptions: AvroOptions): SchemaType = {
+      useStableIdForUnionType: Boolean): SchemaType = {
     avroSchema.getType match {
       case INT => avroSchema.getLogicalType match {
         case _: Date => SchemaType(DateType, nullable = false)
@@ -117,7 +125,7 @@ object SchemaConverters {
         }
         val newRecordNames = existingRecordNames + avroSchema.getFullName
         val fields = avroSchema.getFields.asScala.map { f =>
-          val schemaType = toSqlTypeHelper(f.schema(), newRecordNames, avroOptions)
+          val schemaType = toSqlTypeHelper(f.schema(), newRecordNames, useStableIdForUnionType)
           StructField(f.name, schemaType.dataType, schemaType.nullable)
         }
 
@@ -127,13 +135,14 @@ object SchemaConverters {
         val schemaType = toSqlTypeHelper(
           avroSchema.getElementType,
           existingRecordNames,
-          avroOptions)
+          useStableIdForUnionType)
         SchemaType(
           ArrayType(schemaType.dataType, containsNull = schemaType.nullable),
           nullable = false)
 
       case MAP =>
-        val schemaType = toSqlTypeHelper(avroSchema.getValueType, existingRecordNames, avroOptions)
+        val schemaType = toSqlTypeHelper(avroSchema.getValueType,
+          existingRecordNames, useStableIdForUnionType)
         SchemaType(
           MapType(StringType, schemaType.dataType, valueContainsNull = schemaType.nullable),
           nullable = false)
@@ -143,17 +152,18 @@ object SchemaConverters {
           // In case of a union with null, eliminate it and make a recursive call
           val remainingUnionTypes = AvroUtils.nonNullUnionBranches(avroSchema)
           if (remainingUnionTypes.size == 1) {
-            toSqlTypeHelper(remainingUnionTypes.head, existingRecordNames, avroOptions)
+            toSqlTypeHelper(remainingUnionTypes.head, existingRecordNames, useStableIdForUnionType)
               .copy(nullable = true)
           } else {
             toSqlTypeHelper(
               Schema.createUnion(remainingUnionTypes.asJava),
               existingRecordNames,
-              avroOptions).copy(nullable = true)
+              useStableIdForUnionType).copy(nullable = true)
           }
         } else avroSchema.getTypes.asScala.map(_.getType).toSeq match {
           case Seq(t1) =>
-            toSqlTypeHelper(avroSchema.getTypes.get(0), existingRecordNames, avroOptions)
+            toSqlTypeHelper(avroSchema.getTypes.get(0),
+              existingRecordNames, useStableIdForUnionType)
           case Seq(t1, t2) if Set(t1, t2) == Set(INT, LONG) =>
             SchemaType(LongType, nullable = false)
           case Seq(t1, t2) if Set(t1, t2) == Set(FLOAT, DOUBLE) =>
@@ -167,9 +177,9 @@ object SchemaConverters {
             val fieldNameSet : mutable.Set[String] = mutable.Set()
             val fields = avroSchema.getTypes.asScala.zipWithIndex.map {
               case (s, i) =>
-                val schemaType = toSqlTypeHelper(s, existingRecordNames, avroOptions)
+                val schemaType = toSqlTypeHelper(s, existingRecordNames, useStableIdForUnionType)
 
-                val fieldName = if (avroOptions.useStableIdForUnionType) {
+                val fieldName = if (useStableIdForUnionType) {
                   // Avro's field name may be case sensitive, so field names for two named type
                   // could be "a" and "A" and we need to distinguish them. In this case, we throw
                   // an exception.
diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroPartitionReaderFactory.scala b/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroPartitionReaderFactory.scala
index cc7bd180e8477..2c85c1b067392 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroPartitionReaderFactory.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroPartitionReaderFactory.scala
@@ -103,7 +103,8 @@ case class AvroPartitionReaderFactory(
           readDataSchema,
           options.positionalFieldMatching,
           datetimeRebaseMode,
-          avroFilters)
+          avroFilters,
+          options.useStableIdForUnionType)
         override val stopPosition = partitionedFile.start + partitionedFile.length
 
         override def next(): Boolean = hasNextRow
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
index 1cb34a0bc4dc5..250b5e0615ad8 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
@@ -59,7 +59,7 @@ class AvroCatalystDataConversionSuite extends SparkFunSuite
 
     val expected = {
       val avroSchema = new Schema.Parser().parse(schema)
-      SchemaConverters.toSqlType(avroSchema).dataType match {
+      SchemaConverters.toSqlType(avroSchema, false).dataType match {
         case st: StructType => Row.fromSeq((0 until st.length).map(_ => null))
         case _ => null
       }
@@ -281,13 +281,14 @@ class AvroCatalystDataConversionSuite extends SparkFunSuite
       data: GenericData.Record,
       expected: Option[Any],
       filters: StructFilters = new NoopFilters): Unit = {
-    val dataType = SchemaConverters.toSqlType(schema).dataType
+    val dataType = SchemaConverters.toSqlType(schema, false).dataType
     val deserializer = new AvroDeserializer(
       schema,
       dataType,
       false,
       RebaseSpec(LegacyBehaviorPolicy.CORRECTED),
-      filters)
+      filters,
+      false)
     val deserialized = deserializer.deserialize(data)
     expected match {
       case None => assert(deserialized == None)
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
index 70d0bc6c0ad10..965e3a0c1cba6 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroRowReaderSuite.scala
@@ -75,7 +75,8 @@ class AvroRowReaderSuite
           StructType(new StructField("value", IntegerType, true) :: Nil),
           false,
           RebaseSpec(CORRECTED),
-          new NoopFilters)
+          new NoopFilters,
+          false)
         override val stopPosition = fileSize
 
         override def hasNext: Boolean = hasNextRow
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
index 7f99f3c737c86..a21f3f008fdc7 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSerdeSuite.scala
@@ -226,7 +226,8 @@ object AvroSerdeSuite {
         sql,
         isPositional(matchType),
         RebaseSpec(CORRECTED),
-        new NoopFilters)
+        new NoopFilters,
+        false)
   }
 
   /**
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
index ffb0a49641b59..1df99210a55ac 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
@@ -2137,7 +2137,7 @@ abstract class AvroSuite
 
   private def checkSchemaWithRecursiveLoop(avroSchema: String): Unit = {
     val message = intercept[IncompatibleSchemaException] {
-      SchemaConverters.toSqlType(new Schema.Parser().parse(avroSchema))
+      SchemaConverters.toSqlType(new Schema.Parser().parse(avroSchema), false)
     }.getMessage
 
     assert(message.contains("Found recursive reference in Avro schema"))

From de66d8f2ec78525ea73eba8a0d8fa6e4d4839ead Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 27 Oct 2023 21:20:40 +0900
Subject: [PATCH 456/986] [SPARK-45706][PYTHON][DOCS] Makes entire Binder build
 fails fast during setting up

### What changes were proposed in this pull request?

This PR proposes to make entire Binder build fails fast during setting up to prevent the Binder image to be successfully built which it cannot be rebuilt later on the same commit.

### Why are the changes needed?

Binder build is currently broken for Spark 3.5.0:

https://mybinder.org/v2/gh/apache/spark/ce5ddad9903?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_df.ipynb

Seems like we uploaded PySpark late into PyPI, and the installation steps just slightly ignored the failure (a user triggered the first docker image for Binder, and that's being reused at that time PySpark wasn't uploaded to PyPI).

![Screenshot 2023-10-27 at 5 42 26 PM](https://github.com/apache/spark/assets/6477701/9030e4a1-2afa-43a2-aee0-dda01abb46ce)

### Does this PR introduce _any_ user-facing change?

Yes, it fixes the user-facing live notebooks (at https://spark.apache.org/docs/latest/api/python/index.html).

### How was this patch tested?

Manually tested in my fork:
- https://mybinder.org/v2/gh/HyukjinKwon/spark/ce5ddad9903?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_df.ipynb
- https://mybinder.org/v2/gh/HyukjinKwon/spark/ce5ddad9903?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_connect.ipynb
- https://mybinder.org/v2/gh/HyukjinKwon/spark/ce5ddad9903?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_ps.ipynb
### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43553 from HyukjinKwon/SPARK-45706.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f1d1dc1f87a7e4accd1c3c2d824f39df05465906)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/postBuild | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/binder/postBuild b/binder/postBuild
index 70ae23b393707..fec233f8c8ce9 100644
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -20,6 +20,11 @@
 # This file is used for Binder integration to install PySpark available in
 # Jupyter notebook.
 
+# SPARK-45706: Should fail fast. Otherwise, the Binder image is successfully
+# built, and it cannot be rebuilt.
+set -o pipefail
+set -e
+
 VERSION=$(python -c "exec(open('python/pyspark/version.py').read()); print(__version__)")
 TAG=$(git describe --tags --exact-match 2>/dev/null)
 

From 238630e3aca7c146201f9032a8294a06e7ee3dbd Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Fri, 27 Oct 2023 19:21:04 -0700
Subject: [PATCH 457/986] [SPARK-45678][CORE] Cover
 BufferReleasingInputStream.available/reset under tryOrFetchFailedException

### What changes were proposed in this pull request?

This patch proposes to wrap `BufferReleasingInputStream.available/reset` under `tryOrFetchFailedException`. So `IOException` during `available`/`reset` call will be rethrown as `FetchFailedException`.

### Why are the changes needed?

We have encountered shuffle data corruption issue:

```
Caused by: java.io.IOException: FAILED_TO_UNCOMPRESS(5)
at org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:112)
at org.xerial.snappy.SnappyNative.rawUncompress(Native Method)
at org.xerial.snappy.Snappy.rawUncompress(Snappy.java:504)
at org.xerial.snappy.Snappy.uncompress(Snappy.java:543)
at org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:450)
at org.xerial.snappy.SnappyInputStream.available(SnappyInputStream.java:497)
at org.apache.spark.storage.BufferReleasingInputStream.available(ShuffleBlockFetcherIterator.scala:1356)
```

Spark shuffle has capacity to detect corruption for a few stream op like `read` and `skip`, such `IOException` in the stack trace will be rethrown as `FetchFailedException` that will re-try the failed shuffle task. But in the stack trace it is `available` that is not covered by the mechanism. So no-retry has been happened and the Spark application just failed.

As the `available`/`reset` op will also involve data decompression and throw `IOException`, we should be able to check it like `read` and `skip` do.

### Does this PR introduce _any_ user-facing change?

Yes. Data corruption during `available`/`reset` op is now causing `FetchFailedException` like `read` and `skip` that can be retried instead of `IOException`.

### How was this patch tested?

Added test.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43543 from viirya/add_available.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Chao Sun <sunchao@apple.com>
---
 .../storage/ShuffleBlockFetcherIterator.scala |  8 ++-
 .../ShuffleBlockFetcherIteratorSuite.scala    | 64 ++++++++++++++++++-
 2 files changed, 68 insertions(+), 4 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
index b21a2aa1c1791..b9365f45a11ae 100644
--- a/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
@@ -1354,7 +1354,8 @@ private class BufferReleasingInputStream(
     }
   }
 
-  override def available(): Int = delegate.available()
+  override def available(): Int =
+    tryOrFetchFailedException(delegate.available())
 
   override def mark(readlimit: Int): Unit = delegate.mark(readlimit)
 
@@ -1369,12 +1370,13 @@ private class BufferReleasingInputStream(
   override def read(b: Array[Byte], off: Int, len: Int): Int =
     tryOrFetchFailedException(delegate.read(b, off, len))
 
-  override def reset(): Unit = delegate.reset()
+  override def reset(): Unit = tryOrFetchFailedException(delegate.reset())
 
   /**
    * Execute a block of code that returns a value, close this stream quietly and re-throwing
    * IOException as FetchFailedException when detectCorruption is true. This method is only
-   * used by the `read` and `skip` methods inside `BufferReleasingInputStream` currently.
+   * used by the `available`, `read` and `skip` methods inside `BufferReleasingInputStream`
+   * currently.
    */
   private def tryOrFetchFailedException[T](block: => T): T = {
     try {
diff --git a/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala b/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
index af37a72c9e3f8..f2d5f27a66cce 100644
--- a/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
@@ -182,6 +182,7 @@ class ShuffleBlockFetcherIteratorSuite extends SparkFunSuite with PrivateMethodT
       blocksByAddress: Map[BlockManagerId, Seq[(BlockId, Long, Int)]],
       taskContext: Option[TaskContext] = None,
       streamWrapperLimitSize: Option[Long] = None,
+      corruptAtAvailableReset: Boolean = false,
       blockManager: Option[BlockManager] = None,
       maxBytesInFlight: Long = Long.MaxValue,
       maxReqsInFlight: Int = Int.MaxValue,
@@ -201,7 +202,14 @@ class ShuffleBlockFetcherIteratorSuite extends SparkFunSuite with PrivateMethodT
       blockManager.getOrElse(createMockBlockManager()),
       mapOutputTracker,
       blocksByAddress.iterator,
-      (_, in) => streamWrapperLimitSize.map(new LimitedInputStream(in, _)).getOrElse(in),
+      (_, in) => {
+        val limited = streamWrapperLimitSize.map(new LimitedInputStream(in, _)).getOrElse(in)
+        if (corruptAtAvailableReset) {
+          new CorruptAvailableResetStream(limited)
+        } else {
+          limited
+        }
+      },
       maxBytesInFlight,
       maxReqsInFlight,
       maxBlocksInFlightPerAddress,
@@ -712,6 +720,16 @@ class ShuffleBlockFetcherIteratorSuite extends SparkFunSuite with PrivateMethodT
     corruptBuffer
   }
 
+  private class CorruptAvailableResetStream(in: InputStream) extends InputStream {
+    override def read(): Int = in.read()
+
+    override def read(dest: Array[Byte], off: Int, len: Int): Int = in.read(dest, off, len)
+
+    override def available(): Int = throw new IOException("corrupt at available")
+
+    override def reset(): Unit = throw new IOException("corrupt at reset")
+  }
+
   private class CorruptStream(corruptAt: Long = 0L) extends InputStream {
     var pos = 0
     var closed = false
@@ -1879,4 +1897,48 @@ class ShuffleBlockFetcherIteratorSuite extends SparkFunSuite with PrivateMethodT
       blockManager = Some(blockManager), streamWrapperLimitSize = Some(100))
     verifyLocalBlocksFromFallback(iterator)
   }
+
+  test("SPARK-45678: retry corrupt blocks on available() and reset()") {
+    val remoteBmId = BlockManagerId("test-client-1", "test-client-1", 2)
+    val blocks = Map[BlockId, ManagedBuffer](
+      ShuffleBlockId(0, 0, 0) -> createMockManagedBuffer()
+    )
+
+    // Semaphore to coordinate event sequence in two different threads.
+    val sem = new Semaphore(0)
+
+    answerFetchBlocks { invocation =>
+      val listener = invocation.getArgument[BlockFetchingListener](4)
+      Future {
+        listener.onBlockFetchSuccess(
+          ShuffleBlockId(0, 0, 0).toString, createMockManagedBuffer())
+        sem.release()
+      }
+    }
+
+    val iterator = createShuffleBlockIteratorWithDefaults(
+      Map(remoteBmId -> toBlockList(blocks.keys, 1L, 0)),
+      streamWrapperLimitSize = Some(100),
+      detectCorruptUseExtraMemory = false, // Don't use `ChunkedByteBufferInputStream`.
+      corruptAtAvailableReset = true,
+      checksumEnabled = false
+    )
+
+    sem.acquire()
+
+    val (id1, stream) = iterator.next()
+    assert(id1 === ShuffleBlockId(0, 0, 0))
+
+    val err1 = intercept[FetchFailedException] {
+      stream.available()
+    }
+
+    assert(err1.getMessage.contains("corrupt at available"))
+
+    val err2 = intercept[FetchFailedException] {
+      stream.reset()
+    }
+
+    assert(err2.getMessage.contains("corrupt at reset"))
+  }
 }

From 212f00462f2419039742a305cdc941a886e3a15a Mon Sep 17 00:00:00 2001
From: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Date: Tue, 31 Oct 2023 11:19:32 +0800
Subject: [PATCH 458/986] [SPARK-45592][SQL] Correctness issue in AQE with
 InMemoryTableScanExec

Fixes correctness issue in 3.5.0. The problem seems to be that when AQEShuffleRead does a coalesced read it can return a HashPartitioning with the coalesced number of partitions. This causes a correctness bug as the partitioning is not compatible for joins with other HashPartitioning even though the number of partitions matches. This is resolved in this patch by introducing CoalescedHashPartitioning and making AQEShuffleRead return that instead.

The fix was suggested by cloud-fan

> AQEShuffleRead should probably return a different partitioning, e.g. CoalescedHashPartitioning. It still satisfies ClusterDistribution, so Aggregate is fine and there will be no shuffle. For joins, two CoalescedHashPartitionings are compatible if they have the same original partition number and coalesce boundaries, and CoalescedHashPartitioning is not compatible with HashPartitioning.

Correctness bug.

Yes, fixed correctness issue.

New and existing unit test.

No

Closes #43435 from eejbyfeldt/SPARK-45592.

Authored-by: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 2be03d81cea34ab08c44426837260c22c67e092e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../plans/physical/partitioning.scala         |  49 +++
 .../sql/catalyst/DistributionSuite.scala      | 124 +++---
 .../spark/sql/catalyst/ShuffleSpecSuite.scala | 401 ++++++++++--------
 .../adaptive/AQEShuffleReadExec.scala         |  11 +-
 .../org/apache/spark/sql/DatasetSuite.scala   |  14 +
 .../WriteDistributionAndOrderingSuite.scala   |  53 ++-
 6 files changed, 386 insertions(+), 266 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
index d2f9e9b5d5bf5..1eefe65859bdd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
@@ -306,6 +306,35 @@ case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
 
   override protected def withNewChildrenInternal(
     newChildren: IndexedSeq[Expression]): HashPartitioning = copy(expressions = newChildren)
+
+}
+
+case class CoalescedBoundary(startReducerIndex: Int, endReducerIndex: Int)
+
+/**
+ * Represents a partitioning where partitions have been coalesced from a HashPartitioning into a
+ * fewer number of partitions.
+ */
+case class CoalescedHashPartitioning(from: HashPartitioning, partitions: Seq[CoalescedBoundary])
+  extends Expression with Partitioning with Unevaluable {
+
+  override def children: Seq[Expression] = from.expressions
+  override def nullable: Boolean = from.nullable
+  override def dataType: DataType = from.dataType
+
+  override def satisfies0(required: Distribution): Boolean = from.satisfies0(required)
+
+  override def createShuffleSpec(distribution: ClusteredDistribution): ShuffleSpec =
+    CoalescedHashShuffleSpec(from.createShuffleSpec(distribution), partitions)
+
+  override protected def withNewChildrenInternal(
+    newChildren: IndexedSeq[Expression]): CoalescedHashPartitioning =
+      copy(from = from.copy(expressions = newChildren))
+
+  override val numPartitions: Int = partitions.length
+
+  override def toString: String = from.toString
+  override def sql: String = from.sql
 }
 
 /**
@@ -661,6 +690,26 @@ case class HashShuffleSpec(
   override def numPartitions: Int = partitioning.numPartitions
 }
 
+case class CoalescedHashShuffleSpec(
+    from: ShuffleSpec,
+    partitions: Seq[CoalescedBoundary]) extends ShuffleSpec {
+
+  override def isCompatibleWith(other: ShuffleSpec): Boolean = other match {
+    case SinglePartitionShuffleSpec =>
+      numPartitions == 1
+    case CoalescedHashShuffleSpec(otherParent, otherPartitions) =>
+      partitions == otherPartitions && from.isCompatibleWith(otherParent)
+    case ShuffleSpecCollection(specs) =>
+      specs.exists(isCompatibleWith)
+    case _ =>
+      false
+  }
+
+  override def canCreatePartitioning: Boolean = false
+
+  override def numPartitions: Int = partitions.length
+}
+
 case class KeyGroupedShuffleSpec(
     partitioning: KeyGroupedPartitioning,
     distribution: ClusteredDistribution) extends ShuffleSpec {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/DistributionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/DistributionSuite.scala
index a924a9ed02e5d..7cb4d5f123253 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/DistributionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/DistributionSuite.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.catalyst
 import org.apache.spark.SparkFunSuite
 /* Implicit conversions */
 import org.apache.spark.sql.catalyst.dsl.expressions._
-import org.apache.spark.sql.catalyst.expressions.{Literal, Murmur3Hash, Pmod}
+import org.apache.spark.sql.catalyst.expressions.{Expression, Literal, Murmur3Hash, Pmod}
 import org.apache.spark.sql.catalyst.plans.physical._
 import org.apache.spark.sql.types.IntegerType
 
@@ -146,63 +146,75 @@ class DistributionSuite extends SparkFunSuite {
       false)
   }
 
-  test("HashPartitioning is the output partitioning") {
-    // HashPartitioning can satisfy ClusteredDistribution iff its hash expressions are a subset of
-    // the required clustering expressions.
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 10),
-      ClusteredDistribution(Seq($"a", $"b", $"c")),
-      true)
-
-    checkSatisfied(
-      HashPartitioning(Seq($"b", $"c"), 10),
-      ClusteredDistribution(Seq($"a", $"b", $"c")),
-      true)
-
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 10),
-      ClusteredDistribution(Seq($"b", $"c")),
-      false)
-
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 10),
-      ClusteredDistribution(Seq($"d", $"e")),
-      false)
-
-    // When ClusteredDistribution.requireAllClusterKeys is set to true,
-    // HashPartitioning can only satisfy ClusteredDistribution iff its hash expressions are
-    // exactly same as the required clustering expressions.
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 10),
-      ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
-      true)
-
-    checkSatisfied(
-      HashPartitioning(Seq($"b", $"c"), 10),
-      ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
-      false)
-
-    checkSatisfied(
-      HashPartitioning(Seq($"b", $"a", $"c"), 10),
-      ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
-      false)
-
-    // HashPartitioning cannot satisfy OrderedDistribution
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 10),
-      OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
-      false)
+  private def testHashPartitioningLike(
+      partitioningName: String,
+      create: (Seq[Expression], Int) => Partitioning): Unit = {
+
+    test(s"$partitioningName is the output partitioning") {
+      // HashPartitioning can satisfy ClusteredDistribution iff its hash expressions are a subset of
+      // the required clustering expressions.
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 10),
+        ClusteredDistribution(Seq($"a", $"b", $"c")),
+        true)
+
+      checkSatisfied(
+        create(Seq($"b", $"c"), 10),
+        ClusteredDistribution(Seq($"a", $"b", $"c")),
+        true)
+
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 10),
+        ClusteredDistribution(Seq($"b", $"c")),
+        false)
+
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 10),
+        ClusteredDistribution(Seq($"d", $"e")),
+        false)
+
+      // When ClusteredDistribution.requireAllClusterKeys is set to true,
+      // HashPartitioning can only satisfy ClusteredDistribution iff its hash expressions are
+      // exactly same as the required clustering expressions.
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 10),
+        ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
+        true)
+
+      checkSatisfied(
+        create(Seq($"b", $"c"), 10),
+        ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
+        false)
+
+      checkSatisfied(
+        create(Seq($"b", $"a", $"c"), 10),
+        ClusteredDistribution(Seq($"a", $"b", $"c"), requireAllClusterKeys = true),
+        false)
+
+      // HashPartitioning cannot satisfy OrderedDistribution
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 10),
+        OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
+        false)
+
+      checkSatisfied(
+        create(Seq($"a", $"b", $"c"), 1),
+        OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
+        false) // TODO: this can be relaxed.
+
+      checkSatisfied(
+        create(Seq($"b", $"c"), 10),
+        OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
+        false)
+    }
+  }
 
-    checkSatisfied(
-      HashPartitioning(Seq($"a", $"b", $"c"), 1),
-      OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
-      false) // TODO: this can be relaxed.
+  testHashPartitioningLike("HashPartitioning",
+    (expressions, numPartitions) => HashPartitioning(expressions, numPartitions))
 
-    checkSatisfied(
-      HashPartitioning(Seq($"b", $"c"), 10),
-      OrderedDistribution(Seq($"a".asc, $"b".asc, $"c".asc)),
-      false)
-  }
+  testHashPartitioningLike("CoalescedHashPartitioning", (expressions, numPartitions) =>
+      CoalescedHashPartitioning(
+        HashPartitioning(expressions, numPartitions), Seq(CoalescedBoundary(0, numPartitions))))
 
   test("RangePartitioning is the output partitioning") {
     // RangePartitioning can satisfy OrderedDistribution iff its ordering is a prefix
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ShuffleSpecSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ShuffleSpecSuite.scala
index 51e7688732265..6b069d1c97363 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ShuffleSpecSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ShuffleSpecSuite.scala
@@ -62,211 +62,254 @@ class ShuffleSpecSuite extends SparkFunSuite with SQLHelper {
     }
   }
 
-  test("compatibility: HashShuffleSpec on both sides") {
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = true
-    )
-
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10), ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10), ClusteredDistribution(Seq($"a", $"b"))),
-      expected = true
-    )
+  private def testHashShuffleSpecLike(
+      shuffleSpecName: String,
+      create: (HashPartitioning, ClusteredDistribution) => ShuffleSpec): Unit = {
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"b"), 10), ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"d"), 10), ClusteredDistribution(Seq($"c", $"d"))),
-      expected = true
-    )
+    test(s"compatibility: $shuffleSpecName on both sides") {
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"c", $"c", $"d"), 10),
-        ClusteredDistribution(Seq($"c", $"d"))),
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a"), 10), ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"a"), 10), ClusteredDistribution(Seq($"a", $"b"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"d"), 10),
-        ClusteredDistribution(Seq($"a", $"c", $"d"))),
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"b"), 10), ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"d"), 10), ClusteredDistribution(Seq($"c", $"d"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"c", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"c", $"c"))),
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"c", $"c", $"d"), 10),
+          ClusteredDistribution(Seq($"c", $"d"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"c", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"c", $"d"))),
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b", $"b"))),
+        create(HashPartitioning(Seq($"a", $"d"), 10),
+          ClusteredDistribution(Seq($"a", $"c", $"d"))),
+        expected = true
+      )
 
-    // negative cases
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"c"), 5),
-        ClusteredDistribution(Seq($"c", $"d"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b", $"b"))),
+        create(HashPartitioning(Seq($"a", $"c", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"c", $"c"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b", $"b"))),
+        create(HashPartitioning(Seq($"a", $"c", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"c", $"d"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = false
-    )
+      // negative cases
+      checkCompatible(
+        create(HashPartitioning(Seq($"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"c"), 5),
+          ClusteredDistribution(Seq($"c", $"d"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"d"), 10),
-        ClusteredDistribution(Seq($"c", $"d"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"d"), 10),
-        ClusteredDistribution(Seq($"c", $"d"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"d"), 10),
+          ClusteredDistribution(Seq($"c", $"d"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"a"), 10),
-        ClusteredDistribution(Seq($"a", $"b", $"b"))),
-      expected = false
-    )
-  }
+      checkCompatible(
+        create(HashPartitioning(Seq($"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"d"), 10),
+          ClusteredDistribution(Seq($"c", $"d"))),
+        expected = false
+      )
 
-  test("compatibility: Only one side is HashShuffleSpec") {
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      SinglePartitionShuffleSpec,
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"a", $"b", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 1),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      SinglePartitionShuffleSpec,
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b", $"b"))),
+        create(HashPartitioning(Seq($"a", $"b", $"a"), 10),
+          ClusteredDistribution(Seq($"a", $"b", $"b"))),
+        expected = false
+      )
+    }
 
-    checkCompatible(
-      SinglePartitionShuffleSpec,
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 1),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = true
-    )
+    test(s"compatibility: Only one side is $shuffleSpecName") {
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        SinglePartitionShuffleSpec,
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      RangeShuffleSpec(10, ClusteredDistribution(Seq($"a", $"b"))),
-      expected = false
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 1),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        SinglePartitionShuffleSpec,
+        expected = true
+      )
 
-    checkCompatible(
-      RangeShuffleSpec(10, ClusteredDistribution(Seq($"a", $"b"))),
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      expected = false
-    )
+      checkCompatible(
+        SinglePartitionShuffleSpec,
+        create(HashPartitioning(Seq($"a", $"b"), 1),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        expected = true
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-          ClusteredDistribution(Seq($"a", $"b"))))),
-      expected = true
-    )
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
+          ClusteredDistribution(Seq($"a", $"b"))),
+        RangeShuffleSpec(10, ClusteredDistribution(Seq($"a", $"b"))),
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
+      checkCompatible(
+        RangeShuffleSpec(10, ClusteredDistribution(Seq($"a", $"b"))),
+        create(HashPartitioning(Seq($"a", $"b"), 10),
           ClusteredDistribution(Seq($"a", $"b"))),
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-          ClusteredDistribution(Seq($"a", $"b"))))),
-      expected = true
-    )
+        expected = false
+      )
 
-    checkCompatible(
-      HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-        ClusteredDistribution(Seq($"a", $"b"))),
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"a"), 10),
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
           ClusteredDistribution(Seq($"a", $"b"))),
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"c"), 10),
-          ClusteredDistribution(Seq($"a", $"b", $"c"))))),
-      expected = false
-    )
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"a", $"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))))),
+        expected = true
+      )
 
-    checkCompatible(
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"b"), 10),
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
           ClusteredDistribution(Seq($"a", $"b"))),
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-          ClusteredDistribution(Seq($"a", $"b"))))),
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"c"), 10),
-          ClusteredDistribution(Seq($"a", $"b", $"c"))),
-        HashShuffleSpec(HashPartitioning(Seq($"d"), 10),
-          ClusteredDistribution(Seq($"c", $"d"))))),
-      expected = true
-    )
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"a"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))),
+          create(HashPartitioning(Seq($"a", $"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))))),
+        expected = true
+      )
 
-    checkCompatible(
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"b"), 10),
+      checkCompatible(
+        create(HashPartitioning(Seq($"a", $"b"), 10),
           ClusteredDistribution(Seq($"a", $"b"))),
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b"), 10),
-          ClusteredDistribution(Seq($"a", $"b"))))),
-      ShuffleSpecCollection(Seq(
-        HashShuffleSpec(HashPartitioning(Seq($"a", $"b", $"c"), 10),
-          ClusteredDistribution(Seq($"a", $"b", $"c"))),
-        HashShuffleSpec(HashPartitioning(Seq($"c"), 10),
-          ClusteredDistribution(Seq($"c", $"d"))))),
-      expected = false
-    )
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"a"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))),
+          create(HashPartitioning(Seq($"a", $"b", $"c"), 10),
+            ClusteredDistribution(Seq($"a", $"b", $"c"))))),
+        expected = false
+      )
+
+      checkCompatible(
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))),
+          create(HashPartitioning(Seq($"a", $"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))))),
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"a", $"b", $"c"), 10),
+            ClusteredDistribution(Seq($"a", $"b", $"c"))),
+          create(HashPartitioning(Seq($"d"), 10),
+            ClusteredDistribution(Seq($"c", $"d"))))),
+        expected = true
+      )
+
+      checkCompatible(
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))),
+          create(HashPartitioning(Seq($"a", $"b"), 10),
+            ClusteredDistribution(Seq($"a", $"b"))))),
+        ShuffleSpecCollection(Seq(
+          create(HashPartitioning(Seq($"a", $"b", $"c"), 10),
+            ClusteredDistribution(Seq($"a", $"b", $"c"))),
+          create(HashPartitioning(Seq($"c"), 10),
+            ClusteredDistribution(Seq($"c", $"d"))))),
+        expected = false
+      )
+    }
+  }
+
+  testHashShuffleSpecLike("HashShuffleSpec",
+    (partitioning, distribution) => HashShuffleSpec(partitioning, distribution))
+   testHashShuffleSpecLike("CoalescedHashShuffleSpec",
+    (partitioning, distribution) => {
+      val partitions = if (partitioning.numPartitions == 1) {
+        Seq(CoalescedBoundary(0, 1))
+      } else {
+        Seq(CoalescedBoundary(0, 1), CoalescedBoundary(0, partitioning.numPartitions))
+      }
+      CoalescedHashShuffleSpec(HashShuffleSpec(partitioning, distribution), partitions)
+  })
+
+  test("compatibility: CoalescedHashShuffleSpec other specs") {
+      val hashShuffleSpec = HashShuffleSpec(
+        HashPartitioning(Seq($"a", $"b"), 10), ClusteredDistribution(Seq($"a", $"b")))
+      checkCompatible(
+        hashShuffleSpec,
+        CoalescedHashShuffleSpec(hashShuffleSpec, Seq(CoalescedBoundary(0, 10))),
+        expected = false
+      )
+
+      checkCompatible(
+        CoalescedHashShuffleSpec(hashShuffleSpec,
+          Seq(CoalescedBoundary(0, 5), CoalescedBoundary(5, 10))),
+        CoalescedHashShuffleSpec(hashShuffleSpec,
+          Seq(CoalescedBoundary(0, 5), CoalescedBoundary(5, 10))),
+        expected = true
+      )
+
+      checkCompatible(
+        CoalescedHashShuffleSpec(hashShuffleSpec,
+          Seq(CoalescedBoundary(0, 4), CoalescedBoundary(4, 10))),
+        CoalescedHashShuffleSpec(hashShuffleSpec,
+          Seq(CoalescedBoundary(0, 5), CoalescedBoundary(5, 10))),
+        expected = false
+      )
   }
 
   test("compatibility: other specs") {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEShuffleReadExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEShuffleReadExec.scala
index 46ec91dcc0ab2..6b39ac70a62ea 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEShuffleReadExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEShuffleReadExec.scala
@@ -19,10 +19,11 @@ package org.apache.spark.sql.execution.adaptive
 
 import scala.collection.mutable.ArrayBuffer
 
+import org.apache.spark.SparkException
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression}
-import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, Partitioning, RangePartitioning, RoundRobinPartitioning, SinglePartition, UnknownPartitioning}
+import org.apache.spark.sql.catalyst.plans.physical.{CoalescedBoundary, CoalescedHashPartitioning, HashPartitioning, Partitioning, RangePartitioning, RoundRobinPartitioning, SinglePartition, UnknownPartitioning}
 import org.apache.spark.sql.catalyst.trees.CurrentOrigin
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.exchange.{ReusedExchangeExec, ShuffleExchangeLike}
@@ -75,7 +76,13 @@ case class AQEShuffleReadExec private(
       // partitions is changed.
       child.outputPartitioning match {
         case h: HashPartitioning =>
-          CurrentOrigin.withOrigin(h.origin)(h.copy(numPartitions = partitionSpecs.length))
+          val partitions = partitionSpecs.map {
+            case CoalescedPartitionSpec(start, end, _) => CoalescedBoundary(start, end)
+            // Can not happend due to isCoalescedRead
+            case unexpected =>
+              throw SparkException.internalError(s"Unexpected ShufflePartitionSpec: $unexpected")
+          }
+          CurrentOrigin.withOrigin(h.origin)(CoalescedHashPartitioning(h, partitions))
         case r: RangePartitioning =>
           CurrentOrigin.withOrigin(r.origin)(r.copy(numPartitions = partitionSpecs.length))
         // This can only happen for `REBALANCE_PARTITIONS_BY_NONE`, which uses
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index 6d9c43f866a0c..207c66dc4d43b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -2541,6 +2541,20 @@ class DatasetSuite extends QueryTest
     val ds = Seq(1, 2).toDS().persist(StorageLevel.NONE)
     assert(ds.count() == 2)
   }
+
+  test("SPARK-45592: Coaleasced shuffle read is not compatible with hash partitioning") {
+    val ee = spark.range(0, 1000000, 1, 5).map(l => (l, l)).toDF()
+      .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
+    ee.count()
+
+    val minNbrs1 = ee
+      .groupBy("_1").agg(min(col("_2")).as("min_number"))
+      .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
+
+    val join = ee.join(minNbrs1, "_1")
+    assert(join.count() == 1000000)
+  }
+
 }
 
 class DatasetLargeResultCollectingSuite extends QueryTest
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
index 6cab0e0239dc4..40938eb642478 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
@@ -25,7 +25,7 @@ import org.apache.spark.sql.{catalyst, AnalysisException, DataFrame, Row}
 import org.apache.spark.sql.catalyst.expressions.{ApplyFunctionExpression, Cast, Literal}
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.catalyst.plans.physical
-import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, RangePartitioning, UnknownPartitioning}
+import org.apache.spark.sql.catalyst.plans.physical.{CoalescedBoundary, CoalescedHashPartitioning, HashPartitioning, RangePartitioning, UnknownPartitioning}
 import org.apache.spark.sql.connector.catalog.Identifier
 import org.apache.spark.sql.connector.catalog.functions._
 import org.apache.spark.sql.connector.distributions.{Distribution, Distributions}
@@ -264,11 +264,8 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
       )
     )
     val writePartitioningExprs = Seq(attr("data"), attr("id"))
-    val writePartitioning = if (!coalesce) {
-      clusteredWritePartitioning(writePartitioningExprs, targetNumPartitions)
-    } else {
-      clusteredWritePartitioning(writePartitioningExprs, Some(1))
-    }
+    val writePartitioning = clusteredWritePartitioning(
+      writePartitioningExprs, targetNumPartitions, coalesce)
 
     checkWriteRequirements(
       tableDistribution,
@@ -377,11 +374,8 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
       )
     )
     val writePartitioningExprs = Seq(attr("data"))
-    val writePartitioning = if (!coalesce) {
-      clusteredWritePartitioning(writePartitioningExprs, targetNumPartitions)
-    } else {
-      clusteredWritePartitioning(writePartitioningExprs, Some(1))
-    }
+    val writePartitioning = clusteredWritePartitioning(
+      writePartitioningExprs, targetNumPartitions, coalesce)
 
     checkWriteRequirements(
       tableDistribution,
@@ -875,11 +869,8 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
       )
     )
     val writePartitioningExprs = Seq(attr("data"))
-    val writePartitioning = if (!coalesce) {
-      clusteredWritePartitioning(writePartitioningExprs, targetNumPartitions)
-    } else {
-      clusteredWritePartitioning(writePartitioningExprs, Some(1))
-    }
+    val writePartitioning = clusteredWritePartitioning(
+      writePartitioningExprs, targetNumPartitions, coalesce)
 
     checkWriteRequirements(
       tableDistribution,
@@ -963,11 +954,8 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
       )
     )
     val writePartitioningExprs = Seq(attr("data"))
-    val writePartitioning = if (!coalesce) {
-      clusteredWritePartitioning(writePartitioningExprs, targetNumPartitions)
-    } else {
-      clusteredWritePartitioning(writePartitioningExprs, Some(1))
-    }
+    val writePartitioning = clusteredWritePartitioning(
+      writePartitioningExprs, targetNumPartitions, coalesce)
 
     checkWriteRequirements(
       tableDistribution,
@@ -1154,11 +1142,8 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
     )
 
     val writePartitioningExprs = Seq(truncateExpr)
-    val writePartitioning = if (!coalesce) {
-      clusteredWritePartitioning(writePartitioningExprs, targetNumPartitions)
-    } else {
-      clusteredWritePartitioning(writePartitioningExprs, Some(1))
-    }
+    val writePartitioning = clusteredWritePartitioning(
+      writePartitioningExprs, targetNumPartitions, coalesce)
 
     checkWriteRequirements(
       tableDistribution,
@@ -1422,6 +1407,9 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
       case p: physical.HashPartitioning =>
         val resolvedExprs = p.expressions.map(resolveAttrs(_, plan))
         p.copy(expressions = resolvedExprs)
+      case c: physical.CoalescedHashPartitioning =>
+        val resolvedExprs = c.from.expressions.map(resolveAttrs(_, plan))
+        c.copy(from = c.from.copy(expressions = resolvedExprs))
       case _: UnknownPartitioning =>
         // don't check partitioning if no particular one is expected
         actualPartitioning
@@ -1480,9 +1468,16 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
 
   private def clusteredWritePartitioning(
       writePartitioningExprs: Seq[catalyst.expressions.Expression],
-      targetNumPartitions: Option[Int]): physical.Partitioning = {
-    HashPartitioning(writePartitioningExprs,
-      targetNumPartitions.getOrElse(conf.numShufflePartitions))
+      targetNumPartitions: Option[Int],
+      coalesce: Boolean): physical.Partitioning = {
+    val partitioning = HashPartitioning(writePartitioningExprs,
+        targetNumPartitions.getOrElse(conf.numShufflePartitions))
+    if (coalesce)  {
+      CoalescedHashPartitioning(
+        partitioning, Seq(CoalescedBoundary(0, partitioning.numPartitions)))
+    } else {
+      partitioning
+    }
   }
 
   private def partitionSizes(dataSkew: Boolean, coalesce: Boolean): Seq[Option[Long]] = {

From 2a7e3fec1c8e3867afb9bdecf7a02d6ba7b36f90 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 31 Oct 2023 16:47:30 +0900
Subject: [PATCH 459/986] [SPARK-45735][PYTHON][CONNECT][TESTS] Reenable
 CatalogTests without Spark Connect

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/39214 that restores the original Catalog tests in PySpark. That PR mistakenly disabled the tests without Spark Connect:

https://github.com/apache/spark/blob/fc6a5cca06cf15c4a952cb56720f627efdba7cce/python/pyspark/sql/tests/test_catalog.py#L489

### Why are the changes needed?

To restore the test coverage.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Reenabled unittests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43595 from HyukjinKwon/SPARK-45735.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 76d9a70932df97d8ea4cc6e279933dee29a88571)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_catalog.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/test_catalog.py b/python/pyspark/sql/tests/test_catalog.py
index cafffdc9ae8b5..b72172a402bfc 100644
--- a/python/pyspark/sql/tests/test_catalog.py
+++ b/python/pyspark/sql/tests/test_catalog.py
@@ -486,7 +486,7 @@ def test_refresh_table(self):
                 self.assertEqual(spark.table("my_tab").count(), 0)
 
 
-class CatalogTests(ReusedSQLTestCase):
+class CatalogTests(CatalogTestsMixin, ReusedSQLTestCase):
     pass
 
 

From 64242bf6a6425274b83bc1191230437c2d3fbc71 Mon Sep 17 00:00:00 2001
From: zeruibao <zerui.bao@databricks.com>
Date: Tue, 31 Oct 2023 16:46:40 -0700
Subject: [PATCH 460/986] [SPARK-43380][SQL][FOLLOW-UP] Fix slowdown in Avro
 read

### What changes were proposed in this pull request?
Fix slowdown in Avro read. There is a https://github.com/apache/spark/pull/42503 that causes the performance regression. It seems that `SQLConf.get.getConf(confKey)` is very costly. Move it out of `newWriter` function.

### Why are the changes needed?
Need to fix the performance regression of Avro read.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing UT test

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43606 from zeruibao/SPARK-43380-FIX-SLOWDOWN.

Authored-by: zeruibao <zerui.bao@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 45f73bc69655a236323be1bcb2988341d2aa5203)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../scala/org/apache/spark/sql/avro/AvroDeserializer.scala   | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
index fe0bd7392b636..ec34d10a5ffe8 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala
@@ -105,6 +105,9 @@ private[sql] class AvroDeserializer(
       s"Cannot convert Avro type $rootAvroType to SQL type ${rootCatalystType.sql}.", ise)
   }
 
+  private lazy val preventReadingIncorrectType = !SQLConf.get
+    .getConf(SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA)
+
   def deserialize(data: Any): Option[Any] = converter(data)
 
   /**
@@ -122,8 +125,6 @@ private[sql] class AvroDeserializer(
         s"schema is incompatible (avroType = $avroType, sqlType = ${catalystType.sql})"
 
     val realDataType = SchemaConverters.toSqlType(avroType, useStableIdForUnionType).dataType
-    val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA
-    val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
 
     (avroType.getType, catalystType) match {
       case (NULL, NullType) => (updater, ordinal, _) =>

From 1cf1c6a3a8a8cffc5048c584ca1cdae149843d42 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 1 Nov 2023 09:55:45 +0800
Subject: [PATCH 461/986] [SPARK-45749][CORE][WEBUI] Fix `Spark History Server`
 to sort `Duration` column properly
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This PR aims to fix an UI regression at Apache Spark 3.2.0 caused by SPARK-34123.

From Apache Spark **3.2.0** to **3.5.0**, `Spark History Server` cannot sort `Duration` column.

After this PR, Spark History Server can sort `Duration` column properly like Apache Spark 3.1.3 and before.

### Why are the changes needed?

Before SPARK-34123, Apache Spark had the `title` attribute for sorting.
- https://github.com/apache/spark/pull/31191
```
<td><span title="{{durationMillisec}}">{{duration}}</span></td>
```

Without `title`, `title-numeric` doesn't work.

### Does this PR introduce _any_ user-facing change?

No. This is a bug fix.

### How was this patch tested?

Manual test. Please use `Safari Private Browsing ` or `Chrome Incognito` mode.

<img width="96" alt="Screenshot 2023-10-31 at 5 47 34 PM" src="https://github.com/apache/spark/assets/9700541/8c8464d2-c58b-465c-8f98-edab1ec2317d">

<img width="94" alt="Screenshot 2023-10-31 at 5 47 29 PM" src="https://github.com/apache/spark/assets/9700541/03e8373d-bda3-4835-90ad-9a45670e853a">

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43613 from dongjoon-hyun/SPARK-45749.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit f72510ca9e04ae88660346de440b231fc8225698)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../resources/org/apache/spark/ui/static/historypage.js    | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/core/src/main/resources/org/apache/spark/ui/static/historypage.js b/core/src/main/resources/org/apache/spark/ui/static/historypage.js
index b334bceb5a039..68dc8ba316dbf 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/historypage.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/historypage.js
@@ -192,7 +192,12 @@ $(document).ready(function() {
           },
           {name: startedColumnName, data: 'startTime' },
           {name: completedColumnName, data: 'endTime' },
-          {name: durationColumnName, type: "title-numeric", data: 'duration' },
+          {
+            name: durationColumnName,
+            type: "title-numeric",
+            data: 'duration',
+            render:  (id, type, row) => `<span title="${row.durationMillisec}">${row.duration}</span>`
+          },
           {name: 'user', data: 'sparkUser' },
           {name: 'lastUpdated', data: 'lastUpdated' },
           {

From 4ccadd67a87fb76e105ab527d01f27ff9fed95cc Mon Sep 17 00:00:00 2001
From: chenyu <119398199+chenyu-opensource@users.noreply.github.com>
Date: Wed, 1 Nov 2023 17:12:45 +0800
Subject: [PATCH 462/986] [SPARK-45751][DOCS] Update the default value for
 spark.executor.logs.rolling.maxRetainedFile

**What changes were proposed in this pull request?**
The PR updates the default value of 'spark.executor.logs.rolling.maxRetainedFiles' in configuration.html on the website

**Why are the changes needed?**
The default value of 'spark.executor.logs.rolling.maxRetainedFiles' is -1, but the website is wrong.

**Does this PR introduce any user-facing change?**
No

**How was this patch tested?**
It doesn't need to.

**Was this patch authored or co-authored using generative AI tooling?**
No

Closes #43618 from chenyu-opensource/branch-SPARK-45751.

Authored-by: chenyu <119398199+chenyu-opensource@users.noreply.github.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit e6b4fa835de3f6d0057bf3809ea369d785967bcd)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/configuration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index 4b0b9b3e3c260..25080784f7374 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -658,7 +658,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td><code>spark.executor.logs.rolling.maxRetainedFiles</code></td>
-  <td>(none)</td>
+  <td>-1</td>
   <td>
     Sets the number of latest rolling log files that are going to be retained by the system.
     Older log files will be deleted. Disabled by default.

From cec4e488dc7d6fa64dbf3b7bc004ade87a4e27d7 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 4 Nov 2023 01:16:32 +0800
Subject: [PATCH 463/986] [SPARK-44843][TESTS] Double streamingTimeout for
 StateStoreMetricsTest to make RocksDBStateStore related streaming tests
 reliable

### What changes were proposed in this pull request?

This PR increases streamingTimeout and the check interval for StateStoreMetricsTest to make RocksDBStateStore-related streaming tests reliable, hopefully.

### Why are the changes needed?

```
SPARK-35896: metrics in StateOperatorProgress are output correctly (RocksDBStateStore with changelog checkpointing) *** FAILED *** (1 minute)
[info]   Timed out waiting for stream: The code passed to failAfter did not complete within 60 seconds.
[info]   java.base/java.lang.Thread.getStackTrace(Thread.java:1619)
```

The probability of these tests failing is close to 100%, which seriously affects the UX of making PRs for the contributors.

https://github.com/yaooqinn/spark/actions/runs/6744173341/job/18333952141

### Does this PR introduce _any_ user-facing change?

no, test only

### How was this patch tested?

this can be verified by `sql - slow test` job in CI

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43647 from yaooqinn/SPARK-44843.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit afdce266f0ffeb068d47eca2f2af1bcba66b0e95)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/sql/streaming/StateStoreMetricsTest.scala  | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StateStoreMetricsTest.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StateStoreMetricsTest.scala
index 57ced748cd9f0..07837f5c06473 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StateStoreMetricsTest.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StateStoreMetricsTest.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.streaming
 
+import org.scalatest.time.SpanSugar._
+
 import org.apache.spark.sql.execution.streaming.StreamExecution
 
 trait StateStoreMetricsTest extends StreamTest {
@@ -24,6 +26,8 @@ trait StateStoreMetricsTest extends StreamTest {
   private var lastCheckedRecentProgressIndex = -1
   private var lastQuery: StreamExecution = null
 
+  override val streamingTimeout = 120.seconds
+
   override def beforeEach(): Unit = {
     super.beforeEach()
     lastCheckedRecentProgressIndex = -1
@@ -106,7 +110,7 @@ trait StateStoreMetricsTest extends StreamTest {
     AssertOnQuery(s"Check operator progress metrics: operatorName = $operatorName, " +
       s"numShufflePartitions = $numShufflePartitions, " +
       s"numStateStoreInstances = $numStateStoreInstances") { q =>
-      eventually(timeout(streamingTimeout)) {
+      eventually(timeout(streamingTimeout), interval(200.milliseconds)) {
         val (progressesSinceLastCheck, lastCheckedProgressIndex, numStateOperators) =
           retrieveProgressesSinceLastCheck(q)
         assert(operatorIndex < numStateOperators, s"Invalid operator Index: $operatorIndex")

From 69a980984d001499b502d32bad2228c0e0f59ba1 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sat, 4 Nov 2023 09:23:58 -0700
Subject: [PATCH 464/986] [SPARK-45791][CONNECT][TESTS] Rename
 `SparkConnectSessionHodlerSuite.scala` to
 `SparkConnectSessionHolderSuite.scala`

### What changes were proposed in this pull request?

This PR aims to fix a typo `Hodler` in file name.
- `SparkConnectSessionHodlerSuite.scala` (from)
- `SparkConnectSessionHolderSuite.scala` (to)

It's also unmatched with the class name in the file because class name itself is correct.

https://github.com/apache/spark/blob/3363c2af3f6a59363135451d251f25e328a4fddf/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala#L37

### Why are the changes needed?

This is a typo from the original PR.
- https://github.com/apache/spark/pull/41580

Since the original PR is shipped as Apache Spark 3.5.0, I created a JIRA instead of a follow-up. We need to backport this patch to `branch-3.5`.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43657 from dongjoon-hyun/SPARK-45791.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6d669fa957463851af463d0ba03d6e6ee76e2cda)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 ...sionHodlerSuite.scala => SparkConnectSessionHolderSuite.scala} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/{SparkConnectSessionHodlerSuite.scala => SparkConnectSessionHolderSuite.scala} (100%)

diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHolderSuite.scala
similarity index 100%
rename from connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala
rename to connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHolderSuite.scala

From d36e3e62c72ae121ebf3404db7c4cc51fe66066b Mon Sep 17 00:00:00 2001
From: Kazuyuki Tanimura <ktanimura@apple.com>
Date: Tue, 7 Nov 2023 09:06:00 -0800
Subject: [PATCH 465/986] [SPARK-45786][SQL] Fix inaccurate Decimal
 multiplication and division results

### What changes were proposed in this pull request?
This PR fixes inaccurate Decimal multiplication and division results.

### Why are the changes needed?
Decimal multiplication and division results may be inaccurate due to rounding issues.
#### Multiplication:
```
scala> sql("select  -14120025096157587712113961295153.858047 * -0.4652").show(truncate=false)
+----------------------------------------------------+
|(-14120025096157587712113961295153.858047 * -0.4652)|
+----------------------------------------------------+
|6568635674732509803675414794505.574764              |
+----------------------------------------------------+
```
The correct answer is `6568635674732509803675414794505.574763`

Please note that the last digit is `3` instead of `4` as

```
scala> java.math.BigDecimal("-14120025096157587712113961295153.858047").multiply(java.math.BigDecimal("-0.4652"))
val res21: java.math.BigDecimal = 6568635674732509803675414794505.5747634644
```
Since the factional part `.574763` is followed by `4644`, it should not be rounded up.

#### Division:
```
scala> sql("select -0.172787979 / 533704665545018957788294905796.5").show(truncate=false)
+-------------------------------------------------+
|(-0.172787979 / 533704665545018957788294905796.5)|
+-------------------------------------------------+
|-3.237521E-31                                    |
+-------------------------------------------------+
```
The correct answer is `-3.237520E-31`

Please note that the last digit is `0` instead of `1` as

```
scala> java.math.BigDecimal("-0.172787979").divide(java.math.BigDecimal("533704665545018957788294905796.5"), 100, java.math.RoundingMode.DOWN)
val res22: java.math.BigDecimal = -3.237520489418037889998826491401059986665344697406144511563561222578738E-31
```
Since the factional part `.237520` is followed by `4894...`, it should not be rounded up.

### Does this PR introduce _any_ user-facing change?
Yes, users will see correct Decimal multiplication and division results.
Directly multiplying and dividing with `org.apache.spark.sql.types.Decimal()` (not via SQL) will return 39 digit at maximum instead of 38 at maximum and round down instead of round half-up

### How was this patch tested?
Test added

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43678 from kazuyukitanimura/SPARK-45786.

Authored-by: Kazuyuki Tanimura <ktanimura@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 5ef3a846f52ab90cb7183953cff3080449d0b57b)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../org/apache/spark/sql/types/Decimal.scala  |   8 +-
 .../ArithmeticExpressionSuite.scala           | 107 ++++++++++++++++++
 .../ansi/decimalArithmeticOperations.sql.out  |  14 +--
 3 files changed, 120 insertions(+), 9 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
index afe73635a6824..77e9aa06c830c 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/types/Decimal.scala
@@ -499,7 +499,7 @@ final class Decimal extends Ordered[Decimal] with Serializable {
 
   def / (that: Decimal): Decimal =
     if (that.isZero) null else Decimal(toJavaBigDecimal.divide(that.toJavaBigDecimal,
-      DecimalType.MAX_SCALE, MATH_CONTEXT.getRoundingMode))
+      DecimalType.MAX_SCALE + 1, MATH_CONTEXT.getRoundingMode))
 
   def % (that: Decimal): Decimal =
     if (that.isZero) null
@@ -547,7 +547,11 @@ object Decimal {
 
   val POW_10 = Array.tabulate[Long](MAX_LONG_DIGITS + 1)(i => math.pow(10, i).toLong)
 
-  private val MATH_CONTEXT = new MathContext(DecimalType.MAX_PRECISION, RoundingMode.HALF_UP)
+  // SPARK-45786 Using RoundingMode.HALF_UP with MathContext may cause inaccurate SQL results
+  // because TypeCoercion later rounds again. Instead, always round down and use 1 digit longer
+  // precision than DecimalType.MAX_PRECISION. Then, TypeCoercion will properly round up/down
+  // the last extra digit.
+  private val MATH_CONTEXT = new MathContext(DecimalType.MAX_PRECISION + 1, RoundingMode.DOWN)
 
   private[sql] val ZERO = Decimal(0)
   private[sql] val ONE = Decimal(1)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
index e21793ab506c4..568dcd10d1166 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.catalyst.expressions
 
+import java.math.RoundingMode
 import java.sql.{Date, Timestamp}
 import java.time.{Duration, Period}
 import java.time.temporal.ChronoUnit
@@ -225,6 +226,112 @@ class ArithmeticExpressionSuite extends SparkFunSuite with ExpressionEvalHelper
     }
   }
 
+  test("SPARK-45786: Decimal multiply, divide, remainder, quot") {
+    // Some known cases
+    checkEvaluation(
+      Multiply(
+        Literal(Decimal(BigDecimal("-14120025096157587712113961295153.858047"), 38, 6)),
+        Literal(Decimal(BigDecimal("-0.4652"), 4, 4))
+      ),
+      Decimal(BigDecimal("6568635674732509803675414794505.574763"))
+    )
+    checkEvaluation(
+      Multiply(
+        Literal(Decimal(BigDecimal("-240810500742726"), 15, 0)),
+        Literal(Decimal(BigDecimal("-5677.6988688550027099967697071"), 29, 25))
+      ),
+      Decimal(BigDecimal("1367249507675382200.164877854336665327"))
+    )
+    checkEvaluation(
+      Divide(
+        Literal(Decimal(BigDecimal("-0.172787979"), 9, 9)),
+        Literal(Decimal(BigDecimal("533704665545018957788294905796.5"), 31, 1))
+      ),
+      Decimal(BigDecimal("-3.237520E-31"))
+    )
+    checkEvaluation(
+      Divide(
+        Literal(Decimal(BigDecimal("-0.574302343618"), 12, 12)),
+        Literal(Decimal(BigDecimal("-795826820326278835912868.106"), 27, 3))
+      ),
+      Decimal(BigDecimal("7.21642358550E-25"))
+    )
+
+    // Random tests
+    val rand = scala.util.Random
+    def makeNum(p: Int, s: Int): String = {
+      val int1 = rand.nextLong()
+      val int2 = rand.nextLong().abs
+      val frac1 = rand.nextLong().abs
+      val frac2 = rand.nextLong().abs
+      s"$int1$int2".take(p - s + (int1 >>> 63).toInt) + "." + s"$frac1$frac2".take(s)
+    }
+
+    (0 until 100).foreach { _ =>
+      val p1 = rand.nextInt(38) + 1 // 1 <= p1 <= 38
+      val s1 = rand.nextInt(p1 + 1) // 0 <= s1 <= p1
+      val p2 = rand.nextInt(38) + 1
+      val s2 = rand.nextInt(p2 + 1)
+
+      val n1 = makeNum(p1, s1)
+      val n2 = makeNum(p2, s2)
+
+      val mulActual = Multiply(
+        Literal(Decimal(BigDecimal(n1), p1, s1)),
+        Literal(Decimal(BigDecimal(n2), p2, s2))
+      )
+      val mulExact = new java.math.BigDecimal(n1).multiply(new java.math.BigDecimal(n2))
+
+      val divActual = Divide(
+        Literal(Decimal(BigDecimal(n1), p1, s1)),
+        Literal(Decimal(BigDecimal(n2), p2, s2))
+      )
+      val divExact = new java.math.BigDecimal(n1)
+        .divide(new java.math.BigDecimal(n2), 100, RoundingMode.DOWN)
+
+      val remActual = Remainder(
+        Literal(Decimal(BigDecimal(n1), p1, s1)),
+        Literal(Decimal(BigDecimal(n2), p2, s2))
+      )
+      val remExact = new java.math.BigDecimal(n1).remainder(new java.math.BigDecimal(n2))
+
+      val quotActual = IntegralDivide(
+        Literal(Decimal(BigDecimal(n1), p1, s1)),
+        Literal(Decimal(BigDecimal(n2), p2, s2))
+      )
+      val quotExact =
+        new java.math.BigDecimal(n1).divideToIntegralValue(new java.math.BigDecimal(n2))
+
+      Seq(true, false).foreach { allowPrecLoss =>
+        withSQLConf(SQLConf.DECIMAL_OPERATIONS_ALLOW_PREC_LOSS.key -> allowPrecLoss.toString) {
+          val mulType = Multiply(null, null).resultDecimalType(p1, s1, p2, s2)
+          val mulResult = Decimal(mulExact.setScale(mulType.scale, RoundingMode.HALF_UP))
+          val mulExpected =
+            if (mulResult.precision > DecimalType.MAX_PRECISION) null else mulResult
+          checkEvaluation(mulActual, mulExpected)
+
+          val divType = Divide(null, null).resultDecimalType(p1, s1, p2, s2)
+          val divResult = Decimal(divExact.setScale(divType.scale, RoundingMode.HALF_UP))
+          val divExpected =
+            if (divResult.precision > DecimalType.MAX_PRECISION) null else divResult
+          checkEvaluation(divActual, divExpected)
+
+          val remType = Remainder(null, null).resultDecimalType(p1, s1, p2, s2)
+          val remResult = Decimal(remExact.setScale(remType.scale, RoundingMode.HALF_UP))
+          val remExpected =
+            if (remResult.precision > DecimalType.MAX_PRECISION) null else remResult
+          checkEvaluation(remActual, remExpected)
+
+          val quotType = IntegralDivide(null, null).resultDecimalType(p1, s1, p2, s2)
+          val quotResult = Decimal(quotExact.setScale(quotType.scale, RoundingMode.HALF_UP))
+          val quotExpected =
+            if (quotResult.precision > DecimalType.MAX_PRECISION) null else quotResult
+          checkEvaluation(quotActual, quotExpected.toLong)
+        }
+      }
+    }
+  }
+
   private def testDecimalAndDoubleType(testFunc: (Int => Any) => Unit): Unit = {
     testFunc(_.toDouble)
     testFunc(Decimal(_))
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/decimalArithmeticOperations.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/decimalArithmeticOperations.sql.out
index 699c916fd8fdb..9593291fae21d 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/decimalArithmeticOperations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/decimalArithmeticOperations.sql.out
@@ -155,7 +155,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "1000000000000000000000000000000000000.00000000000000000000000000000000000000"
+    "value" : "1000000000000000000000000000000000000.000000000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -204,7 +204,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "10123456789012345678901234567890123456.00000000000000000000000000000000000000"
+    "value" : "10123456789012345678901234567890123456.000000000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -229,7 +229,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "101234567890123456789012345678901234.56000000000000000000000000000000000000"
+    "value" : "101234567890123456789012345678901234.560000000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -254,7 +254,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "10123456789012345678901234567890123.45600000000000000000000000000000000000"
+    "value" : "10123456789012345678901234567890123.456000000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -279,7 +279,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "1012345678901234567890123456789012.34560000000000000000000000000000000000"
+    "value" : "1012345678901234567890123456789012.345600000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -304,7 +304,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "101234567890123456789012345678901.23456000000000000000000000000000000000"
+    "value" : "101234567890123456789012345678901.234560000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -337,7 +337,7 @@ org.apache.spark.SparkArithmeticException
     "config" : "\"spark.sql.ansi.enabled\"",
     "precision" : "38",
     "scale" : "6",
-    "value" : "101234567890123456789012345678901.23456000000000000000000000000000000000"
+    "value" : "101234567890123456789012345678901.234560000000000000000000000000000000000"
   },
   "queryContext" : [ {
     "objectType" : "",

From eac87e3985fa614c790bef99cbf9b1d9f3a1f513 Mon Sep 17 00:00:00 2001
From: chenyu <119398199+chenyu-opensource@users.noreply.github.com>
Date: Wed, 8 Nov 2023 19:16:48 +0800
Subject: [PATCH 466/986] [SPARK-45829][DOCS] Update the default value for
 spark.executor.logs.rolling.maxSize

**What changes were proposed in this pull request?**
The PR updates the default value of 'spark.executor.logs.rolling.maxSize' in configuration.html on the website

**Why are the changes needed?**
The default value of 'spark.executor.logs.rolling.maxSize' is 1024 * 1024, but the website is wrong.

**Does this PR introduce any user-facing change?**
No

**How was this patch tested?**
It doesn't need to.

**Was this patch authored or co-authored using generative AI tooling?**
No

Closes #43712 from chenyu-opensource/branch-SPARK-45829.

Authored-by: chenyu <119398199+chenyu-opensource@users.noreply.github.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit a9127068194a48786df4f429ceb4f908c71f7138)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/configuration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index 25080784f7374..4604360dda287 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -676,7 +676,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td><code>spark.executor.logs.rolling.maxSize</code></td>
-  <td>(none)</td>
+  <td>1024 * 1024</td>
   <td>
     Set the max size of the file in bytes by which the executor logs will be rolled over.
     Rolling is disabled by default. See <code>spark.executor.logs.rolling.maxRetainedFiles</code>

From 85fbb3aca54e93a3a66c4eb5743f70486a8383fc Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Wed, 8 Nov 2023 09:18:34 -0800
Subject: [PATCH 467/986] [SPARK-45509][SQL][3.5] Fix df column reference
 behavior for Spark Connect

backport https://github.com/apache/spark/pull/43465 to 3.5

### What changes were proposed in this pull request?

This PR fixes a few problems of column resolution for Spark Connect, to make the behavior closer to classic Spark SQL (unfortunately we still have some behavior differences in corner cases).
1. resolve df column references in both `resolveExpressionByPlanChildren` and `resolveExpressionByPlanOutput`. Previously it's only in `resolveExpressionByPlanChildren`.
2. when the plan id has multiple matches, fail with `AMBIGUOUS_COLUMN_REFERENCE`

### Why are the changes needed?

fix behavior differences between spark connect and classic spark sql

### Does this PR introduce _any_ user-facing change?

Yes, for spark connect scala client

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43699 from cloud-fan/backport.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../main/resources/error/error-classes.json   |  9 ++
 .../apache/spark/sql/ClientE2ETestSuite.scala | 58 +++++++++++
 docs/sql-error-conditions.md                  |  9 ++
 python/pyspark/pandas/indexes/multi.py        |  2 +-
 python/pyspark/sql/connect/plan.py            |  4 +-
 .../analysis/ColumnResolutionHelper.scala     | 98 +++++++++++--------
 6 files changed, 138 insertions(+), 42 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 9bc65ae32a276..2d50fe1a1a1a8 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -28,6 +28,15 @@
     ],
     "sqlState" : "42702"
   },
+  "AMBIGUOUS_COLUMN_REFERENCE" : {
+    "message" : [
+      "Column <name> is ambiguous. It's because you joined several DataFrame together, and some of these DataFrames are the same.",
+      "This column points to one of the DataFrame but Spark is unable to figure out which one.",
+      "Please alias the DataFrames with different names via `DataFrame.alias` before joining them,",
+      "and specify the column using qualified name, e.g. `df.alias(\"a\").join(df.alias(\"b\"), col(\"a.id\") > col(\"b.id\"))`."
+    ],
+    "sqlState" : "42702"
+  },
   "AMBIGUOUS_LATERAL_COLUMN_ALIAS" : {
     "message" : [
       "Lateral column alias <name> is ambiguous and has <n> matches."
diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
index df36b53791a81..feefd19000d1d 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala
@@ -767,6 +767,64 @@ class ClientE2ETestSuite extends RemoteSparkSession with SQLHelper with PrivateM
     assert(joined2.schema.catalogString === "struct<id:bigint,a:double>")
   }
 
+  test("SPARK-45509: ambiguous column reference") {
+    val session = spark
+    import session.implicits._
+    val df1 = Seq(1 -> "a").toDF("i", "j")
+    val df1_filter = df1.filter(df1("i") > 0)
+    val df2 = Seq(2 -> "b").toDF("i", "y")
+
+    checkSameResult(
+      Seq(Row(1)),
+      // df1("i") is not ambiguous, and it's still valid in the filtered df.
+      df1_filter.select(df1("i")))
+
+    val e1 = intercept[AnalysisException] {
+      // df1("i") is not ambiguous, but it's not valid in the projected df.
+      df1.select((df1("i") + 1).as("plus")).select(df1("i")).collect()
+    }
+    assert(e1.getMessage.contains("MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_MISSING_FROM_INPUT"))
+
+    checkSameResult(
+      Seq(Row(1, "a")),
+      // All these column references are not ambiguous and are still valid after join.
+      df1.join(df2, df1("i") + 1 === df2("i")).sort(df1("i").desc).select(df1("i"), df1("j")))
+
+    val e2 = intercept[AnalysisException] {
+      // df1("i") is ambiguous as df1 appears in both join sides.
+      df1.join(df1, df1("i") === 1).collect()
+    }
+    assert(e2.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+
+    val e3 = intercept[AnalysisException] {
+      // df1("i") is ambiguous as df1 appears in both join sides.
+      df1.join(df1).select(df1("i")).collect()
+    }
+    assert(e3.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+
+    val e4 = intercept[AnalysisException] {
+      // df1("i") is ambiguous as df1 appears in both join sides (df1_filter contains df1).
+      df1.join(df1_filter, df1("i") === 1).collect()
+    }
+    assert(e4.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+
+    checkSameResult(
+      Seq(Row("a")),
+      // df1_filter("i") is not ambiguous as df1_filter does not exist in the join left side.
+      df1.join(df1_filter, df1_filter("i") === 1).select(df1_filter("j")))
+
+    val e5 = intercept[AnalysisException] {
+      // df1("i") is ambiguous as df1 appears in both sides of the first join.
+      df1.join(df1_filter, df1_filter("i") === 1).join(df2, df1("i") === 1).collect()
+    }
+    assert(e5.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+
+    checkSameResult(
+      Seq(Row("a")),
+      // df1_filter("i") is not ambiguous as df1_filter only appears once.
+      df1.join(df1_filter).join(df2, df1_filter("i") === 1).select(df1_filter("j")))
+  }
+
   test("broadcast join") {
     withSQLConf("spark.sql.autoBroadcastJoinThreshold" -> "-1") {
       val left = spark.range(100).select(col("id"), rand(10).as("a"))
diff --git a/docs/sql-error-conditions.md b/docs/sql-error-conditions.md
index 90d21f9758573..0cf05748f58f0 100644
--- a/docs/sql-error-conditions.md
+++ b/docs/sql-error-conditions.md
@@ -55,6 +55,15 @@ See '`<docroot>`/sql-migration-guide.html#query-engine'.
 
 Column or field `<name>` is ambiguous and has `<n>` matches.
 
+### AMBIGUOUS_COLUMN_REFERENCE
+
+[SQLSTATE: 42702](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
+
+Column `<name>` is ambiguous. It's because you joined several DataFrame together, and some of these DataFrames are the same.
+This column points to one of the DataFrame but Spark is unable to figure out which one.
+Please alias the DataFrames with different names via `DataFrame.alias` before joining them,
+and specify the column using qualified name, e.g. `df.alias("a").join(df.alias("b"), col("a.id") > col("b.id"))`.
+
 ### AMBIGUOUS_LATERAL_COLUMN_ALIAS
 
 [SQLSTATE: 42702](sql-error-conditions-sqlstates.html#class-42-syntax-error-or-access-rule-violation)
diff --git a/python/pyspark/pandas/indexes/multi.py b/python/pyspark/pandas/indexes/multi.py
index dd93e31d0235e..74e0b328e4dfb 100644
--- a/python/pyspark/pandas/indexes/multi.py
+++ b/python/pyspark/pandas/indexes/multi.py
@@ -815,7 +815,7 @@ def symmetric_difference(  # type: ignore[override]
         sdf_symdiff = sdf_self.union(sdf_other).subtract(sdf_self.intersect(sdf_other))
 
         if sort:
-            sdf_symdiff = sdf_symdiff.sort(*self._internal.index_spark_columns)
+            sdf_symdiff = sdf_symdiff.sort(*self._internal.index_spark_column_names)
 
         internal = InternalFrame(
             spark_frame=sdf_symdiff,
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 9af5823dd8b84..b49274e399c48 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -2123,7 +2123,9 @@ def __init__(
         self._input_grouping_cols = input_grouping_cols
         self._other_grouping_cols = other_grouping_cols
         self._other = cast(LogicalPlan, other)
-        self._func = function._build_common_inline_user_defined_function(*cols)
+        # The function takes entire DataFrame as inputs, no need to do
+        # column binding (no input columns).
+        self._func = function._build_common_inline_user_defined_function()
 
     def plan(self, session: "SparkConnectClient") -> proto.Relation:
         assert self._child is not None
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ColumnResolutionHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ColumnResolutionHelper.scala
index 98cbdea72d53b..c48006286be9a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ColumnResolutionHelper.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ColumnResolutionHelper.scala
@@ -29,10 +29,10 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.trees.CurrentOrigin.withOrigin
 import org.apache.spark.sql.catalyst.trees.TreePattern._
 import org.apache.spark.sql.catalyst.util.toPrettySQL
-import org.apache.spark.sql.errors.QueryCompilationErrors
+import org.apache.spark.sql.errors.{DataTypeErrorsBase, QueryCompilationErrors}
 import org.apache.spark.sql.internal.SQLConf
 
-trait ColumnResolutionHelper extends Logging {
+trait ColumnResolutionHelper extends Logging with DataTypeErrorsBase {
 
   def conf: SQLConf
 
@@ -337,7 +337,7 @@ trait ColumnResolutionHelper extends Logging {
       throws: Boolean = false,
       allowOuter: Boolean = false): Expression = {
     resolveExpression(
-      expr,
+      tryResolveColumnByPlanId(expr, plan),
       resolveColumnByName = nameParts => {
         plan.resolve(nameParts, conf.resolver)
       },
@@ -358,21 +358,8 @@ trait ColumnResolutionHelper extends Logging {
       e: Expression,
       q: LogicalPlan,
       allowOuter: Boolean = false): Expression = {
-    val newE = if (e.exists(_.getTagValue(LogicalPlan.PLAN_ID_TAG).nonEmpty)) {
-      // If the TreeNodeTag 'LogicalPlan.PLAN_ID_TAG' is attached, it means that the plan and
-      // expression are from Spark Connect, and need to be resolved in this way:
-      //    1, extract the attached plan id from the expression (UnresolvedAttribute only for now);
-      //    2, top-down traverse the query plan to find the plan node that matches the plan id;
-      //    3, if can not find the matching node, fail the analysis due to illegal references;
-      //    4, resolve the expression with the matching node, if any error occurs here, apply the
-      //    old code path;
-      resolveExpressionByPlanId(e, q)
-    } else {
-      e
-    }
-
     resolveExpression(
-      newE,
+      tryResolveColumnByPlanId(e, q),
       resolveColumnByName = nameParts => {
         q.resolveChildren(nameParts, conf.resolver)
       },
@@ -392,39 +379,46 @@ trait ColumnResolutionHelper extends Logging {
     }
   }
 
-  private def resolveExpressionByPlanId(
+  // If the TreeNodeTag 'LogicalPlan.PLAN_ID_TAG' is attached, it means that the plan and
+  // expression are from Spark Connect, and need to be resolved in this way:
+  //    1. extract the attached plan id from UnresolvedAttribute;
+  //    2. top-down traverse the query plan to find the plan node that matches the plan id;
+  //    3. if can not find the matching node, fail the analysis due to illegal references;
+  //    4. if more than one matching nodes are found, fail due to ambiguous column reference;
+  //    5. resolve the expression with the matching node, if any error occurs here, return the
+  //       original expression as it is.
+  private def tryResolveColumnByPlanId(
       e: Expression,
-      q: LogicalPlan): Expression = {
-    if (!e.exists(_.getTagValue(LogicalPlan.PLAN_ID_TAG).nonEmpty)) {
-      return e
-    }
-
-    e match {
-      case u: UnresolvedAttribute =>
-        resolveUnresolvedAttributeByPlanId(u, q).getOrElse(u)
-      case _ =>
-        e.mapChildren(c => resolveExpressionByPlanId(c, q))
-    }
+      q: LogicalPlan,
+      idToPlan: mutable.HashMap[Long, LogicalPlan] = mutable.HashMap.empty): Expression = e match {
+    case u: UnresolvedAttribute =>
+      resolveUnresolvedAttributeByPlanId(
+        u, q, idToPlan: mutable.HashMap[Long, LogicalPlan]
+      ).getOrElse(u)
+    case _ if e.containsPattern(UNRESOLVED_ATTRIBUTE) =>
+      e.mapChildren(c => tryResolveColumnByPlanId(c, q, idToPlan))
+    case _ => e
   }
 
   private def resolveUnresolvedAttributeByPlanId(
       u: UnresolvedAttribute,
-      q: LogicalPlan): Option[NamedExpression] = {
+      q: LogicalPlan,
+      idToPlan: mutable.HashMap[Long, LogicalPlan]): Option[NamedExpression] = {
     val planIdOpt = u.getTagValue(LogicalPlan.PLAN_ID_TAG)
     if (planIdOpt.isEmpty) return None
     val planId = planIdOpt.get
     logDebug(s"Extract plan_id $planId from $u")
 
-    val planOpt = q.find(_.getTagValue(LogicalPlan.PLAN_ID_TAG).contains(planId))
-    if (planOpt.isEmpty) {
-      // For example:
-      //  df1 = spark.createDataFrame([Row(a = 1, b = 2, c = 3)]])
-      //  df2 = spark.createDataFrame([Row(a = 1, b = 2)]])
-      //  df1.select(df2.a)   <-   illegal reference df2.a
-      throw new AnalysisException(s"When resolving $u, " +
-        s"fail to find subplan with plan_id=$planId in $q")
-    }
-    val plan = planOpt.get
+    val plan = idToPlan.getOrElseUpdate(planId, {
+      findPlanById(u, planId, q).getOrElse {
+        // For example:
+        //  df1 = spark.createDataFrame([Row(a = 1, b = 2, c = 3)]])
+        //  df2 = spark.createDataFrame([Row(a = 1, b = 2)]])
+        //  df1.select(df2.a)   <-   illegal reference df2.a
+        throw new AnalysisException(s"When resolving $u, " +
+          s"fail to find subplan with plan_id=$planId in $q")
+      }
+    })
 
     try {
       plan.resolve(u.nameParts, conf.resolver)
@@ -434,4 +428,28 @@ trait ColumnResolutionHelper extends Logging {
         None
     }
   }
+
+  private def findPlanById(
+      u: UnresolvedAttribute,
+      id: Long,
+      plan: LogicalPlan): Option[LogicalPlan] = {
+    if (plan.getTagValue(LogicalPlan.PLAN_ID_TAG).contains(id)) {
+      Some(plan)
+    } else if (plan.children.length == 1) {
+      findPlanById(u, id, plan.children.head)
+    } else if (plan.children.length > 1) {
+      val matched = plan.children.flatMap(findPlanById(u, id, _))
+      if (matched.length > 1) {
+        throw new AnalysisException(
+          errorClass = "AMBIGUOUS_COLUMN_REFERENCE",
+          messageParameters = Map("name" -> toSQLId(u.nameParts)),
+          origin = u.origin
+        )
+      } else {
+        matched.headOption
+      }
+    } else {
+      None
+    }
+  }
 }

From 35d00618d92e855d7b0bd2551b48309d07f4d180 Mon Sep 17 00:00:00 2001
From: xieshuaihu <xieshuaihu@agora.io>
Date: Thu, 9 Nov 2023 15:56:40 +0800
Subject: [PATCH 468/986] [SPARK-45814][CONNECT][SQL] Make
 ArrowConverters.createEmptyArrowBatch call close() to avoid memory leak

### What changes were proposed in this pull request?

Make `ArrowBatchIterator` implement `AutoCloseable` and `ArrowConverters.createEmptyArrowBatch()` call close() to avoid memory leak.

### Why are the changes needed?

`ArrowConverters.createEmptyArrowBatch` don't call `super.hasNext`, if `TaskContext.get` returns `None`, then memory allocated in `ArrowBatchIterator` is leaked.

In spark connect, `createEmptyArrowBatch` is called in [SparkConnectPlanner](https://github.com/apache/spark/blob/master/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala#L2558) and [SparkConnectPlanExecution](https://github.com/apache/spark/blob/master/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/SparkConnectPlanExecution.scala#L224), which cause a long running driver consume all off-heap memory specified by `-XX:MaxDirectMemorySize`.

This is the exception stack:
```
org.apache.arrow.memory.OutOfMemoryException: Failure allocating buffer.
	at io.netty.buffer.PooledByteBufAllocatorL.allocate(PooledByteBufAllocatorL.java:67)
	at org.apache.arrow.memory.NettyAllocationManager.<init>(NettyAllocationManager.java:77)
	at org.apache.arrow.memory.NettyAllocationManager.<init>(NettyAllocationManager.java:84)
	at org.apache.arrow.memory.NettyAllocationManager$1.create(NettyAllocationManager.java:34)
	at org.apache.arrow.memory.BaseAllocator.newAllocationManager(BaseAllocator.java:354)
	at org.apache.arrow.memory.BaseAllocator.newAllocationManager(BaseAllocator.java:349)
	at org.apache.arrow.memory.BaseAllocator.bufferWithoutReservation(BaseAllocator.java:337)
	at org.apache.arrow.memory.BaseAllocator.buffer(BaseAllocator.java:315)
	at org.apache.arrow.memory.BaseAllocator.buffer(BaseAllocator.java:279)
	at org.apache.arrow.vector.BaseValueVector.allocFixedDataAndValidityBufs(BaseValueVector.java:192)
	at org.apache.arrow.vector.BaseFixedWidthVector.allocateBytes(BaseFixedWidthVector.java:338)
	at org.apache.arrow.vector.BaseFixedWidthVector.allocateNew(BaseFixedWidthVector.java:308)
	at org.apache.arrow.vector.BaseFixedWidthVector.allocateNew(BaseFixedWidthVector.java:273)
	at org.apache.spark.sql.execution.arrow.ArrowWriter$.$anonfun$create$1(ArrowWriter.scala:44)
	at scala.collection.StrictOptimizedIterableOps.map(StrictOptimizedIterableOps.scala:100)
	at scala.collection.StrictOptimizedIterableOps.map$(StrictOptimizedIterableOps.scala:87)
	at scala.collection.convert.JavaCollectionWrappers$JListWrapper.map(JavaCollectionWrappers.scala:103)
	at org.apache.spark.sql.execution.arrow.ArrowWriter$.create(ArrowWriter.scala:43)
	at org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.<init>(ArrowConverters.scala:93)
	at org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchWithSchemaIterator.<init>(ArrowConverters.scala:138)
	at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.<init>(ArrowConverters.scala:231)
	at org.apache.spark.sql.execution.arrow.ArrowConverters$.createEmptyArrowBatch(ArrowConverters.scala:229)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleSqlCommand(SparkConnectPlanner.scala:2481)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:2426)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handleCommand(ExecuteThreadRunner.scala:202)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:158)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:132)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:189)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:189)
	at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withContextClassLoader$1(SessionHolder.scala:176)
	at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:178)
	at org.apache.spark.sql.connect.service.SessionHolder.withContextClassLoader(SessionHolder.scala:175)
	at org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:188)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:132)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:84)
	at org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:228)
Caused by: io.netty.util.internal.OutOfDirectMemoryError: failed to allocate 4194304 byte(s) of direct memory (used: 1069547799, max: 1073741824)
	at io.netty.util.internal.PlatformDependent.incrementMemoryCounter(PlatformDependent.java:845)
	at io.netty.util.internal.PlatformDependent.allocateDirectNoCleaner(PlatformDependent.java:774)
	at io.netty.buffer.PoolArena$DirectArena.allocateDirect(PoolArena.java:721)
	at io.netty.buffer.PoolArena$DirectArena.newChunk(PoolArena.java:696)
	at io.netty.buffer.PoolArena.allocateNormal(PoolArena.java:215)
	at io.netty.buffer.PoolArena.tcacheAllocateSmall(PoolArena.java:180)
	at io.netty.buffer.PoolArena.allocate(PoolArena.java:137)
	at io.netty.buffer.PoolArena.allocate(PoolArena.java:129)
	at io.netty.buffer.PooledByteBufAllocatorL$InnerAllocator.newDirectBufferL(PooledByteBufAllocatorL.java:181)
	at io.netty.buffer.PooledByteBufAllocatorL$InnerAllocator.directBuffer(PooledByteBufAllocatorL.java:214)
	at io.netty.buffer.PooledByteBufAllocatorL.allocate(PooledByteBufAllocatorL.java:58)
	... 37 more
```

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manually test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43691 from xieshuaihu/spark-45814.

Authored-by: xieshuaihu <xieshuaihu@agora.io>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit c128f811820e5a31ddd5bd1c95ed8dd49017eaea)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../sql/execution/arrow/ArrowConverters.scala | 25 +++++++++++++------
 1 file changed, 18 insertions(+), 7 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
index 86dd7984b5859..a843582e9c2c5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
@@ -80,7 +80,7 @@ private[sql] object ArrowConverters extends Logging {
       maxRecordsPerBatch: Long,
       timeZoneId: String,
       errorOnDuplicatedFieldNames: Boolean,
-      context: TaskContext) extends Iterator[Array[Byte]] {
+      context: TaskContext) extends Iterator[Array[Byte]] with AutoCloseable {
 
     protected val arrowSchema =
       ArrowUtils.toArrowSchema(schema, timeZoneId, errorOnDuplicatedFieldNames)
@@ -93,13 +93,11 @@ private[sql] object ArrowConverters extends Logging {
     protected val arrowWriter = ArrowWriter.create(root)
 
     Option(context).foreach {_.addTaskCompletionListener[Unit] { _ =>
-      root.close()
-      allocator.close()
+      close()
     }}
 
     override def hasNext: Boolean = rowIter.hasNext || {
-      root.close()
-      allocator.close()
+      close()
       false
     }
 
@@ -124,6 +122,11 @@ private[sql] object ArrowConverters extends Logging {
 
       out.toByteArray
     }
+
+    override def close(): Unit = {
+        root.close()
+        allocator.close()
+    }
   }
 
   private[sql] class ArrowBatchWithSchemaIterator(
@@ -226,11 +229,19 @@ private[sql] object ArrowConverters extends Logging {
       schema: StructType,
       timeZoneId: String,
       errorOnDuplicatedFieldNames: Boolean): Array[Byte] = {
-    new ArrowBatchWithSchemaIterator(
+    val batches = new ArrowBatchWithSchemaIterator(
         Iterator.empty, schema, 0L, 0L,
         timeZoneId, errorOnDuplicatedFieldNames, TaskContext.get) {
       override def hasNext: Boolean = true
-    }.next()
+    }
+    Utils.tryWithSafeFinally {
+      batches.next()
+    } {
+      // If taskContext is null, `batches.close()` should be called to avoid memory leak.
+      if (TaskContext.get() == null) {
+        batches.close()
+      }
+    }
   }
 
   /**

From fbc150fbbb702f18ca12c6e6dec3fe01dbe76612 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 9 Nov 2023 16:23:38 +0800
Subject: [PATCH 469/986] [SPARK-45847][SQL][TESTS] CliSuite flakiness due to
 non-sequential guarantee for stdout&stderr

### What changes were proposed in this pull request?

In CliSuite, This PR adds a retry for tests that write errors to STDERR.

### Why are the changes needed?

To fix flakiness tests as below
https://github.com/chenhao-db/apache-spark/actions/runs/6791437199/job/18463313766
https://github.com/dongjoon-hyun/spark/actions/runs/6753670527/job/18361206900

```sql
[info]   Spark master: local, Application Id: local-1699402393189
[info]   spark-sql> /* SELECT /*+ HINT() 4; */;
[info]
[info]   [PARSE_SYNTAX_ERROR] Syntax error at or near ';'. SQLSTATE: 42601 (line 1, pos 26)
[info]
[info]   == SQL ==
[info]   /* SELECT /*+ HINT() 4; */;
[info]   --------------------------^^^
[info]
[info]   spark-sql> /* SELECT /*+ HINT() 4; */ SELECT 1;
[info]   1
[info]   Time taken: 1.499 seconds, Fetched 1 row(s)
[info]
[info]   [UNCLOSED_BRACKETED_COMMENT] Found an unclosed bracketed comment. Please, append */ at the end of the comment. SQLSTATE: 42601
[info]   == SQL ==
[info]   /* Here is a unclosed bracketed comment SELECT 1;
[info]   spark-sql> /* Here is a unclosed bracketed comment SELECT 1;
[info]   spark-sql> /* SELECT /*+ HINT() */ 4; */;
[info]   spark-sql>
```

As you can see the fragment above, the query on the 3rd line from the bottom, came from STDOUT, was printed later than its error output, came from STDERR.

In this scenario, the error output would not match anything and would simply go unnoticed. Finally, timed out and failed.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests and CI

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43725 from yaooqinn/SPARK-45847.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 06d8cbe073499ff16bca3165e2de1192daad3984)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/hive/thriftserver/CliSuite.scala      | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
index 8ba9ea28a5a96..343b32e6227c2 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
@@ -383,7 +383,7 @@ class CliSuite extends SparkFunSuite {
     )
   }
 
-  test("SPARK-11188 Analysis error reporting") {
+  testRetry("SPARK-11188 Analysis error reporting") {
     runCliWithin(timeout = 2.minute,
       errorResponses = Seq("AnalysisException"))(
       "select * from nonexistent_table;" -> "nonexistent_table"
@@ -551,7 +551,7 @@ class CliSuite extends SparkFunSuite {
     )
   }
 
-  test("SparkException with root cause will be printStacktrace") {
+  testRetry("SparkException with root cause will be printStacktrace") {
     // If it is not in silent mode, will print the stacktrace
     runCliWithin(
       1.minute,
@@ -575,8 +575,8 @@ class CliSuite extends SparkFunSuite {
     runCliWithin(1.minute)("SELECT MAKE_DATE(-44, 3, 15);" -> "-0044-03-15")
   }
 
-  test("SPARK-33100: Ignore a semicolon inside a bracketed comment in spark-sql") {
-    runCliWithin(4.minute)(
+  testRetry("SPARK-33100: Ignore a semicolon inside a bracketed comment in spark-sql") {
+    runCliWithin(1.minute)(
       "/* SELECT 'test';*/ SELECT 'test';" -> "test",
       ";;/* SELECT 'test';*/ SELECT 'test';" -> "test",
       "/* SELECT 'test';*/;; SELECT 'test';" -> "test",
@@ -623,8 +623,8 @@ class CliSuite extends SparkFunSuite {
     )
   }
 
-  test("SPARK-37555: spark-sql should pass last unclosed comment to backend") {
-    runCliWithin(5.minute)(
+  testRetry("SPARK-37555: spark-sql should pass last unclosed comment to backend") {
+    runCliWithin(1.minute)(
       // Only unclosed comment.
       "/* SELECT /*+ HINT() 4; */;".stripMargin -> "Syntax error at or near ';'",
       // Unclosed nested bracketed comment.
@@ -637,7 +637,7 @@ class CliSuite extends SparkFunSuite {
     )
   }
 
-  test("SPARK-37694: delete [jar|file|archive] shall use spark sql processor") {
+  testRetry("SPARK-37694: delete [jar|file|archive] shall use spark sql processor") {
     runCliWithin(2.minute, errorResponses = Seq("ParseException"))(
       "delete jar dummy.jar;" -> "Syntax error at or near 'jar': missing 'FROM'.(line 1, pos 7)")
   }
@@ -678,7 +678,7 @@ class CliSuite extends SparkFunSuite {
     SparkSQLEnv.stop()
   }
 
-  test("SPARK-39068: support in-memory catalog and running concurrently") {
+  testRetry("SPARK-39068: support in-memory catalog and running concurrently") {
     val extraConf = Seq("-c", s"${StaticSQLConf.CATALOG_IMPLEMENTATION.key}=in-memory")
     val cd = new CountDownLatch(2)
     def t: Thread = new Thread {
@@ -698,7 +698,7 @@ class CliSuite extends SparkFunSuite {
   }
 
   // scalastyle:off line.size.limit
-  test("formats of error messages") {
+  testRetry("formats of error messages") {
     def check(format: ErrorMessageFormat.Value, errorMessage: String, silent: Boolean): Unit = {
       val expected = errorMessage.split(System.lineSeparator()).map("" -> _)
       runCliWithin(
@@ -810,7 +810,6 @@ class CliSuite extends SparkFunSuite {
       s"spark.sql.catalog.$catalogName.url=jdbc:derby:memory:$catalogName;create=true"
     val catalogDriver =
       s"spark.sql.catalog.$catalogName.driver=org.apache.derby.jdbc.AutoloadedDriver"
-    val database = s"-database $catalogName.SYS"
     val catalogConfigs =
       Seq(catalogImpl, catalogDriver, catalogUrl, "spark.sql.catalogImplementation=in-memory")
         .flatMap(Seq("--conf", _))

From 0b68e1700f60ad1a32f066c10a0f76bea893b7ce Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 10 Nov 2023 21:09:43 +0800
Subject: [PATCH 470/986] [SPARK-45878][SQL][TESTS] Fix
 ConcurrentModificationException in CliSuite

### What changes were proposed in this pull request?

This PR changes the ArrayBuffer for logs to immutable for reading to prevent ConcurrentModificationException which hides the actual cause of failure

### Why are the changes needed?

```scala
[info] - SPARK-29022 Commands using SerDe provided in ADD JAR sql *** FAILED *** (11 seconds, 105 milliseconds)
[info]   java.util.ConcurrentModificationException: mutation occurred during iteration
[info]   at scala.collection.mutable.MutationTracker$.checkMutations(MutationTracker.scala:43)
[info]   at scala.collection.mutable.CheckedIndexedSeqView$CheckedIterator.hasNext(CheckedIndexedSeqView.scala:47)
[info]   at scala.collection.IterableOnceOps.addString(IterableOnce.scala:1247)
[info]   at scala.collection.IterableOnceOps.addString$(IterableOnce.scala:1241)
[info]   at scala.collection.AbstractIterable.addString(Iterable.scala:933)
[info]   at org.apache.spark.sql.hive.thriftserver.CliSuite.runCliWithin(CliSuite.scala:205)
[info]   at org.apache.spark.sql.hive.thriftserver.CliSuite.$anonfun$new$20(CliSuite.scala:501)
```

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43749 from yaooqinn/SPARK-45878.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit b347237735094e9092f4100583ed1d6f3eacf1f6)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/sql/hive/thriftserver/CliSuite.scala      | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
index 343b32e6227c2..38dcd1d8b00af 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/CliSuite.scala
@@ -193,7 +193,7 @@ class CliSuite extends SparkFunSuite {
       ThreadUtils.awaitResult(foundAllExpectedAnswers.future, timeoutForQuery)
       log.info("Found all expected output.")
     } catch { case cause: Throwable =>
-      val message =
+      val message = lock.synchronized {
         s"""
            |=======================
            |CliSuite failure output
@@ -207,6 +207,7 @@ class CliSuite extends SparkFunSuite {
            |End CliSuite failure output
            |===========================
          """.stripMargin
+      }
       logError(message, cause)
       fail(message, cause)
     } finally {

From 68b531dd2b485fa2203d6a2bd2de90afc97a13bb Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 10 Nov 2023 07:50:17 -0800
Subject: [PATCH 471/986] [SPARK-45883][BUILD] Upgrade ORC to 1.9.2

### What changes were proposed in this pull request?

This PR aims to upgrade ORC to 1.9.2 for Apache Spark 4.0.0 and 3.5.1.

### Why are the changes needed?

To bring the latest bug fixes.
- https://github.com/apache/orc/releases/tag/v1.9.2

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43754 from dongjoon-hyun/SPARK-45883.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 917947e62e1e67f49a83c1ffb0833b61f0c48eb6)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 6 +++---
 pom.xml                               | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 1d02f8dba567e..9ab51dfa011a2 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -212,9 +212,9 @@ opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
 opentracing-util/0.33.0//opentracing-util-0.33.0.jar
-orc-core/1.9.1/shaded-protobuf/orc-core-1.9.1-shaded-protobuf.jar
-orc-mapreduce/1.9.1/shaded-protobuf/orc-mapreduce-1.9.1-shaded-protobuf.jar
-orc-shims/1.9.1//orc-shims-1.9.1.jar
+orc-core/1.9.2/shaded-protobuf/orc-core-1.9.2-shaded-protobuf.jar
+orc-mapreduce/1.9.2/shaded-protobuf/orc-mapreduce-1.9.2-shaded-protobuf.jar
+orc-shims/1.9.2//orc-shims-1.9.2.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
diff --git a/pom.xml b/pom.xml
index be8400c33bf2b..14e0ab3e0f620 100644
--- a/pom.xml
+++ b/pom.xml
@@ -141,7 +141,7 @@
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
     <parquet.version>1.13.1</parquet.version>
-    <orc.version>1.9.1</orc.version>
+    <orc.version>1.9.2</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.52.v20230823</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

From 19d225bf3f56d392ebb4e7727bd30109b1b75bf5 Mon Sep 17 00:00:00 2001
From: "longfei.jiang" <longfei.jiang@kyligence.io>
Date: Sat, 11 Nov 2023 13:49:18 +0800
Subject: [PATCH 472/986] [MINOR][DOCS] Fix the example value in the docs

### What changes were proposed in this pull request?

fix the example value

### Why are the changes needed?

for doc

### Does this PR introduce _any_ user-facing change?

Yes

### How was this patch tested?

Just example value in the docs, no need to test.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43750 from jlfsdtc/fix_typo_in_doc.

Authored-by: longfei.jiang <longfei.jiang@kyligence.io>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit b501a223bfcf4ddbcb0b2447aa06c549051630b0)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/sql-ref-datetime-pattern.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sql-ref-datetime-pattern.md b/docs/sql-ref-datetime-pattern.md
index 5e28a18acefa4..e5d5388f262e4 100644
--- a/docs/sql-ref-datetime-pattern.md
+++ b/docs/sql-ref-datetime-pattern.md
@@ -41,7 +41,7 @@ Spark uses pattern letters in the following table for date and timestamp parsing
 |**a**|am-pm-of-day|am-pm|PM|
 |**h**|clock-hour-of-am-pm (1-12)|number(2)|12|
 |**K**|hour-of-am-pm (0-11)|number(2)|0|
-|**k**|clock-hour-of-day (1-24)|number(2)|0|
+|**k**|clock-hour-of-day (1-24)|number(2)|1|
 |**H**|hour-of-day (0-23)|number(2)|0|
 |**m**|minute-of-hour|number(2)|30|
 |**s**|second-of-minute|number(2)|55|

From 5c7a55f331b7a41f37b55aff3c5fb29af7916d06 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Sun, 12 Nov 2023 14:34:32 -0800
Subject: [PATCH 473/986] [SPARK-45896][SQL] Construct `ValidateExternalType`
 with the correct expected type

### What changes were proposed in this pull request?

When creating a serializer for a `Map` or `Seq` with an element of type `Option`, pass an expected type of `Option`  to `ValidateExternalType` rather than the `Option`'s type argument.

### Why are the changes needed?

In 3.4.1, 3.5.0, and master, the following code gets an error:
```
scala> val df = Seq(Seq(Some(Seq(0)))).toDF("a")
val df = Seq(Seq(Some(Seq(0)))).toDF("a")
org.apache.spark.SparkRuntimeException: [EXPRESSION_ENCODING_FAILED] Failed to encode a value of the expressions: mapobjects(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -1), mapobjects(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -2), assertnotnull(validateexternaltype(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -2), IntegerType, IntegerType)), unwrapoption(ObjectType(interface scala.collection.immutable.Seq), validateexternaltype(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -1), ArrayType(IntegerType,false), ObjectType(class scala.Option))), None), input[0, scala.collection.immutable.Seq, true], None) AS value#0 to a row. SQLSTATE: 42846
...
Caused by: java.lang.RuntimeException: scala.Some is not a valid external type for schema of array<int>
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_0$(Unknown Source)
...

```
However, this code works in 3.3.3.

Similarly, this code gets an error:
```
scala> val df = Seq(Seq(Some(java.sql.Timestamp.valueOf("2023-01-01 00:00:00")))).toDF("a")
val df = Seq(Seq(Some(java.sql.Timestamp.valueOf("2023-01-01 00:00:00")))).toDF("a")
org.apache.spark.SparkRuntimeException: [EXPRESSION_ENCODING_FAILED] Failed to encode a value of the expressions: mapobjects(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -1), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, TimestampType, fromJavaTimestamp, unwrapoption(ObjectType(class java.sql.Timestamp), validateexternaltype(lambdavariable(MapObject, ObjectType(class java.lang.Object), true, -1), TimestampType, ObjectType(class scala.Option))), true, false, true), input[0, scala.collection.immutable.Seq, true], None) AS value#0 to a row. SQLSTATE: 42846
...
Caused by: java.lang.RuntimeException: scala.Some is not a valid external type for schema of timestamp
...
```
As with the first example, this code works in 3.3.3.

`SerializerBuildHelper#validateAndSerializeElement` will construct `ValidateExternalType` with an expected type of the `Option`'s type parameter. Therefore, for element types `Option[Seq/Date/Timestamp/BigDecimal]`, `ValidateExternalType` will try to validate that the element is of the contained type (e.g., `BigDecimal`) rather than of type `Option`. Since the element type is of type `Option`, the validation fails.

Validation currently works by accident for element types `Option[Map/<primitive-type]`, simply because in that case `ValidateExternalType` ignores that passed expected type and tries to validate based on the encoder's `clsTag` field (which, for the `OptionEncoder`, will be class `Option`).

### Does this PR introduce _any_ user-facing change?

Other than fixing the bug, no.

### How was this patch tested?

New unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43770 from bersprockets/encoding_error.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit e440f3245243a31e7bdfe945e1ce7194609b78fb)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/catalyst/SerializerBuildHelper.scala   |  7 ++++++-
 .../catalyst/encoders/ExpressionEncoderSuite.scala   | 12 ++++++++++++
 .../scala/org/apache/spark/sql/DatasetSuite.scala    |  9 +++++++++
 3 files changed, 27 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
index 27090ff6fa5d6..cd087514f4be3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SerializerBuildHelper.scala
@@ -450,10 +450,15 @@ object SerializerBuildHelper {
   private def validateAndSerializeElement(
       enc: AgnosticEncoder[_],
       nullable: Boolean): Expression => Expression = { input =>
+    val expected = enc match {
+      case OptionEncoder(_) => lenientExternalDataTypeFor(enc)
+      case _ => enc.dataType
+    }
+
     expressionWithNullSafety(
       createSerializer(
         enc,
-        ValidateExternalType(input, enc.dataType, lenientExternalDataTypeFor(enc))),
+        ValidateExternalType(input, expected, lenientExternalDataTypeFor(enc))),
       nullable,
       WalkedTypePath())
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala
index 9d2051b01d62e..724a91806c7e0 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala
@@ -477,6 +477,18 @@ class ExpressionEncoderSuite extends CodegenInterpretedPlanTest with AnalysisTes
   encodeDecodeTest(Option.empty[Int], "empty option of int")
   encodeDecodeTest(Option("abc"), "option of string")
   encodeDecodeTest(Option.empty[String], "empty option of string")
+  encodeDecodeTest(Seq(Some(Seq(0))), "SPARK-45896: seq of option of seq")
+  encodeDecodeTest(Map(0 -> Some(Seq(0))), "SPARK-45896: map of option of seq")
+  encodeDecodeTest(Seq(Some(Timestamp.valueOf("2023-01-01 00:00:00"))),
+    "SPARK-45896: seq of option of timestamp")
+  encodeDecodeTest(Map(0 -> Some(Timestamp.valueOf("2023-01-01 00:00:00"))),
+    "SPARK-45896: map of option of timestamp")
+  encodeDecodeTest(Seq(Some(Date.valueOf("2023-01-01"))),
+    "SPARK-45896: seq of option of date")
+  encodeDecodeTest(Map(0 -> Some(Date.valueOf("2023-01-01"))),
+    "SPARK-45896: map of option of date")
+  encodeDecodeTest(Seq(Some(BigDecimal(200))), "SPARK-45896: seq of option of bigdecimal")
+  encodeDecodeTest(Map(0 -> Some(BigDecimal(200))), "SPARK-45896: map of option of bigdecimal")
 
   encodeDecodeTest(ScroogeLikeExample(1),
     "SPARK-40385 class with only a companion object constructor")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index 207c66dc4d43b..0878ae134e9d4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -270,6 +270,13 @@ class DatasetSuite extends QueryTest
       (ClassData("one", 2), 1L), (ClassData("two", 3), 1L))
   }
 
+  test("SPARK-45896: seq of option of seq") {
+    val ds = Seq(DataSeqOptSeq(Seq(Some(Seq(0))))).toDS()
+    checkDataset(
+      ds,
+      DataSeqOptSeq(Seq(Some(List(0)))))
+  }
+
   test("select") {
     val ds = Seq(("a", 1), ("b", 2), ("c", 3)).toDS()
     checkDataset(
@@ -2629,6 +2636,8 @@ case class ClassNullableData(a: String, b: Integer)
 case class NestedStruct(f: ClassData)
 case class DeepNestedStruct(f: NestedStruct)
 
+case class DataSeqOptSeq(a: Seq[Option[Seq[Int]]])
+
 /**
  * A class used to test serialization using encoders. This class throws exceptions when using
  * Java serialization -- so the only way it can be "serialized" is through our encoders.

From 6313e6cc5090036eacb9c234584705d4b398c39e Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Mon, 13 Nov 2023 19:31:22 +0800
Subject: [PATCH 474/986] [SPARK-45906][YARN] Fix error message extraction from
 ResourceNotFoundException

### What changes were proposed in this pull request?

This PR aims to fix the error message extraction from `ResourceNotFoundException`, the current wrong implementation also has a potential NPE issue.

### Why are the changes needed?

This bug is introduced in SPARK-43202, previously, `e.getCause()` is used to unwrap `InvocationTargetException`, after replacing reflection invocation with direct API calling, we should not apply `getCause()`.

### Does this PR introduce _any_ user-facing change?

Yes, bug fix.

### How was this patch tested?

Review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43782 from pan3793/SPARK-45906.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit c29b127dcdd99b0038e96b90177b44b828b32c4b)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/deploy/yarn/ResourceRequestHelper.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceRequestHelper.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceRequestHelper.scala
index 0dd4e0a6c8ad9..f9aa11c4d48d6 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceRequestHelper.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ResourceRequestHelper.scala
@@ -168,7 +168,7 @@ private object ResourceRequestHelper extends Logging {
           if (numResourceErrors < 2) {
             logWarning(s"YARN doesn't know about resource $name, your resource discovery " +
               s"has to handle properly discovering and isolating the resource! Error: " +
-              s"${e.getCause.getMessage}")
+              s"${e.getMessage}")
             numResourceErrors += 1
           }
       }

From d9f0c44e7f24cba95f7bf1737bb52ff73a7b9094 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Tue, 14 Nov 2023 12:09:37 +0800
Subject: [PATCH 475/986] [SPARK-45770][SQL][PYTHON][CONNECT][3.5] Introduce
 plan DataFrameDropColumns for Dataframe.drop

### What changes were proposed in this pull request?
backport https://github.com/apache/spark/pull/43683 to 3.5

### Why are the changes needed?
to fix a connect bug

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #43776 from zhengruifeng/sql_drop_plan_35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/tests/test_dataframe.py    | 37 ++++++++++++++
 .../sql/catalyst/analysis/Analyzer.scala      |  1 +
 .../ResolveDataFrameDropColumns.scala         | 49 +++++++++++++++++++
 .../plans/logical/basicLogicalOperators.scala | 14 ++++++
 .../sql/catalyst/trees/TreePatterns.scala     |  1 +
 .../scala/org/apache/spark/sql/Dataset.scala  | 15 +-----
 6 files changed, 104 insertions(+), 13 deletions(-)
 create mode 100644 sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala

diff --git a/python/pyspark/sql/tests/test_dataframe.py b/python/pyspark/sql/tests/test_dataframe.py
index 33049233dee98..5907c8c09fb46 100644
--- a/python/pyspark/sql/tests/test_dataframe.py
+++ b/python/pyspark/sql/tests/test_dataframe.py
@@ -106,6 +106,43 @@ def test_drop(self):
         self.assertEqual(df.drop(col("name"), col("age")).columns, ["active"])
         self.assertEqual(df.drop(col("name"), col("age"), col("random")).columns, ["active"])
 
+    def test_drop_join(self):
+        left_df = self.spark.createDataFrame(
+            [(1, "a"), (2, "b"), (3, "c")],
+            ["join_key", "value1"],
+        )
+        right_df = self.spark.createDataFrame(
+            [(1, "aa"), (2, "bb"), (4, "dd")],
+            ["join_key", "value2"],
+        )
+        joined_df = left_df.join(
+            right_df,
+            on=left_df["join_key"] == right_df["join_key"],
+            how="left",
+        )
+
+        dropped_1 = joined_df.drop(left_df["join_key"])
+        self.assertEqual(dropped_1.columns, ["value1", "join_key", "value2"])
+        self.assertEqual(
+            dropped_1.sort("value1").collect(),
+            [
+                Row(value1="a", join_key=1, value2="aa"),
+                Row(value1="b", join_key=2, value2="bb"),
+                Row(value1="c", join_key=None, value2=None),
+            ],
+        )
+
+        dropped_2 = joined_df.drop(right_df["join_key"])
+        self.assertEqual(dropped_2.columns, ["join_key", "value1", "value2"])
+        self.assertEqual(
+            dropped_2.sort("value1").collect(),
+            [
+                Row(join_key=1, value1="a", value2="aa"),
+                Row(join_key=2, value1="b", value2="bb"),
+                Row(join_key=3, value1="c", value2=None),
+            ],
+        )
+
     def test_with_columns_renamed(self):
         df = self.spark.createDataFrame([("Alice", 50), ("Alice", 60)], ["name", "age"])
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 8e3c9b30c61bf..80cb5d8c60876 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -307,6 +307,7 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       ResolveWindowFrame ::
       ResolveNaturalAndUsingJoin ::
       ResolveOutputRelation ::
+      new ResolveDataFrameDropColumns(catalogManager) ::
       ExtractWindowExpressions ::
       GlobalAggregates ::
       ResolveAggregateFunctions ::
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala
new file mode 100644
index 0000000000000..2642b4a1c5daa
--- /dev/null
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala
@@ -0,0 +1,49 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.sql.catalyst.plans.logical.{DataFrameDropColumns, LogicalPlan, Project}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.trees.TreePattern.DF_DROP_COLUMNS
+import org.apache.spark.sql.connector.catalog.CatalogManager
+
+/**
+ * A rule that rewrites DataFrameDropColumns to Project.
+ * Note that DataFrameDropColumns allows and ignores non-existing columns.
+ */
+class ResolveDataFrameDropColumns(val catalogManager: CatalogManager)
+  extends Rule[LogicalPlan] with ColumnResolutionHelper  {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
+    _.containsPattern(DF_DROP_COLUMNS)) {
+    case d: DataFrameDropColumns if d.childrenResolved =>
+      // expressions in dropList can be unresolved, e.g.
+      //   df.drop(col("non-existing-column"))
+      val dropped = d.dropList.map {
+        case u: UnresolvedAttribute =>
+          resolveExpressionByPlanChildren(u, d.child)
+        case e => e
+      }
+      val remaining = d.child.output.filterNot(attr => dropped.exists(_.semanticEquals(attr)))
+      if (remaining.size == d.child.output.size) {
+        d.child
+      } else {
+        Project(remaining, d.child)
+      }
+  }
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index 96b67fc52e0d7..0e460706fc5b8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -235,6 +235,20 @@ object Project {
   }
 }
 
+case class DataFrameDropColumns(dropList: Seq[Expression], child: LogicalPlan) extends UnaryNode {
+  override def output: Seq[Attribute] = Nil
+
+  override def maxRows: Option[Long] = child.maxRows
+  override def maxRowsPerPartition: Option[Long] = child.maxRowsPerPartition
+
+  final override val nodePatterns: Seq[TreePattern] = Seq(DF_DROP_COLUMNS)
+
+  override lazy val resolved: Boolean = false
+
+  override protected def withNewChildInternal(newChild: LogicalPlan): DataFrameDropColumns =
+    copy(child = newChild)
+}
+
 /**
  * Applies a [[Generator]] to a stream of input rows, combining the
  * output of each into a new stream of rows.  This operation is similar to a `flatMap` in functional
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
index b806ebbed52d0..bf7b2db1719f5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
@@ -105,6 +105,7 @@ object TreePattern extends Enumeration  {
   val AS_OF_JOIN: Value = Value
   val COMMAND: Value = Value
   val CTE: Value = Value
+  val DF_DROP_COLUMNS: Value = Value
   val DISTINCT_LIKE: Value = Value
   val EVAL_PYTHON_UDF: Value = Value
   val EVAL_PYTHON_UDTF: Value = Value
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index e047b927b9057..f53c6ddaa3880 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -3013,19 +3013,8 @@ class Dataset[T] private[sql](
    * @since 3.4.0
    */
   @scala.annotation.varargs
-  def drop(col: Column, cols: Column*): DataFrame = {
-    val allColumns = col +: cols
-    val expressions = (for (col <- allColumns) yield col match {
-      case Column(u: UnresolvedAttribute) =>
-        queryExecution.analyzed.resolveQuoted(
-          u.name, sparkSession.sessionState.analyzer.resolver).getOrElse(u)
-      case Column(expr: Expression) => expr
-    })
-    val attrs = this.logicalPlan.output
-    val colsAfterDrop = attrs.filter { attr =>
-      expressions.forall(expression => !attr.semanticEquals(expression))
-    }.map(attr => Column(attr))
-    select(colsAfterDrop : _*)
+  def drop(col: Column, cols: Column*): DataFrame = withPlan {
+    DataFrameDropColumns((col +: cols).map(_.expr), logicalPlan)
   }
 
   /**

From 556caeace66bc12ae12ae304ade21fc24c437af9 Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 14 Nov 2023 19:53:50 +0800
Subject: [PATCH 476/986] [SPARK-45882][SQL][3.5] BroadcastHashJoinExec
 propagate partitioning should respect CoalescedHashPartitioning

This pr backport https://github.com/apache/spark/pull/43753 to branch-3.5

### What changes were proposed in this pull request?

Add HashPartitioningLike trait and make HashPartitioning and CoalescedHashPartitioning extend it. When we propagate output partiitoning, we should handle HashPartitioningLike instead of HashPartitioning. This pr also changes the BroadcastHashJoinExec to use HashPartitioningLike to avoid regression.

### Why are the changes needed?

Avoid unnecessary shuffle exchange.

### Does this PR introduce _any_ user-facing change?

yes, avoid regression

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43792 from ulysses-you/partitioning-3.5.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../plans/physical/partitioning.scala         | 46 +++++++++----------
 .../joins/BroadcastHashJoinExec.scala         | 11 +++--
 .../org/apache/spark/sql/JoinSuite.scala      | 28 ++++++++++-
 3 files changed, 54 insertions(+), 31 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
index 1eefe65859bdd..211b5a05eb70c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
@@ -258,18 +258,8 @@ case object SinglePartition extends Partitioning {
     SinglePartitionShuffleSpec
 }
 
-/**
- * Represents a partitioning where rows are split up across partitions based on the hash
- * of `expressions`.  All rows where `expressions` evaluate to the same values are guaranteed to be
- * in the same partition.
- *
- * Since [[StatefulOpClusteredDistribution]] relies on this partitioning and Spark requires
- * stateful operators to retain the same physical partitioning during the lifetime of the query
- * (including restart), the result of evaluation on `partitionIdExpression` must be unchanged
- * across Spark versions. Violation of this requirement may bring silent correctness issue.
- */
-case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
-  extends Expression with Partitioning with Unevaluable {
+trait HashPartitioningLike extends Expression with Partitioning with Unevaluable {
+  def expressions: Seq[Expression]
 
   override def children: Seq[Expression] = expressions
   override def nullable: Boolean = false
@@ -294,6 +284,20 @@ case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
       }
     }
   }
+}
+
+/**
+ * Represents a partitioning where rows are split up across partitions based on the hash
+ * of `expressions`.  All rows where `expressions` evaluate to the same values are guaranteed to be
+ * in the same partition.
+ *
+ * Since [[StatefulOpClusteredDistribution]] relies on this partitioning and Spark requires
+ * stateful operators to retain the same physical partitioning during the lifetime of the query
+ * (including restart), the result of evaluation on `partitionIdExpression` must be unchanged
+ * across Spark versions. Violation of this requirement may bring silent correctness issue.
+ */
+case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
+  extends HashPartitioningLike {
 
   override def createShuffleSpec(distribution: ClusteredDistribution): ShuffleSpec =
     HashShuffleSpec(this, distribution)
@@ -306,7 +310,6 @@ case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int)
 
   override protected def withNewChildrenInternal(
     newChildren: IndexedSeq[Expression]): HashPartitioning = copy(expressions = newChildren)
-
 }
 
 case class CoalescedBoundary(startReducerIndex: Int, endReducerIndex: Int)
@@ -316,25 +319,18 @@ case class CoalescedBoundary(startReducerIndex: Int, endReducerIndex: Int)
  * fewer number of partitions.
  */
 case class CoalescedHashPartitioning(from: HashPartitioning, partitions: Seq[CoalescedBoundary])
-  extends Expression with Partitioning with Unevaluable {
-
-  override def children: Seq[Expression] = from.expressions
-  override def nullable: Boolean = from.nullable
-  override def dataType: DataType = from.dataType
+  extends HashPartitioningLike {
 
-  override def satisfies0(required: Distribution): Boolean = from.satisfies0(required)
+  override def expressions: Seq[Expression] = from.expressions
 
   override def createShuffleSpec(distribution: ClusteredDistribution): ShuffleSpec =
     CoalescedHashShuffleSpec(from.createShuffleSpec(distribution), partitions)
 
-  override protected def withNewChildrenInternal(
-    newChildren: IndexedSeq[Expression]): CoalescedHashPartitioning =
-      copy(from = from.copy(expressions = newChildren))
-
   override val numPartitions: Int = partitions.length
 
-  override def toString: String = from.toString
-  override def sql: String = from.sql
+  override protected def withNewChildrenInternal(
+      newChildren: IndexedSeq[Expression]): CoalescedHashPartitioning =
+    copy(from = from.copy(expressions = newChildren))
 }
 
 /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala
index 9f9f874314639..b82cee2c0fbe7 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide}
 import org.apache.spark.sql.catalyst.plans._
-import org.apache.spark.sql.catalyst.plans.physical.{BroadcastDistribution, Distribution, HashPartitioning, Partitioning, PartitioningCollection, UnspecifiedDistribution}
+import org.apache.spark.sql.catalyst.plans.physical.{BroadcastDistribution, Distribution, HashPartitioningLike, Partitioning, PartitioningCollection, UnspecifiedDistribution}
 import org.apache.spark.sql.execution.{CodegenSupport, SparkPlan}
 import org.apache.spark.sql.execution.metric.SQLMetrics
 
@@ -73,7 +73,7 @@ case class BroadcastHashJoinExec(
     joinType match {
       case _: InnerLike if conf.broadcastHashJoinOutputPartitioningExpandLimit > 0 =>
         streamedPlan.outputPartitioning match {
-          case h: HashPartitioning => expandOutputPartitioning(h)
+          case h: HashPartitioningLike => expandOutputPartitioning(h)
           case c: PartitioningCollection => expandOutputPartitioning(c)
           case other => other
         }
@@ -99,7 +99,7 @@ case class BroadcastHashJoinExec(
   private def expandOutputPartitioning(
       partitioning: PartitioningCollection): PartitioningCollection = {
     PartitioningCollection(partitioning.partitionings.flatMap {
-      case h: HashPartitioning => expandOutputPartitioning(h).partitionings
+      case h: HashPartitioningLike => expandOutputPartitioning(h).partitionings
       case c: PartitioningCollection => Seq(expandOutputPartitioning(c))
       case other => Seq(other)
     })
@@ -111,11 +111,12 @@ case class BroadcastHashJoinExec(
   // the expanded partitioning will have the following expressions:
   // Seq("a", "b", "c"), Seq("a", "b", "y"), Seq("a", "x", "c"), Seq("a", "x", "y").
   // The expanded expressions are returned as PartitioningCollection.
-  private def expandOutputPartitioning(partitioning: HashPartitioning): PartitioningCollection = {
+  private def expandOutputPartitioning(
+      partitioning: HashPartitioningLike): PartitioningCollection = {
     PartitioningCollection(partitioning.multiTransformDown {
       case e: Expression if streamedKeyToBuildKeyMapping.contains(e.canonicalized) =>
         e +: streamedKeyToBuildKeyMapping(e.canonicalized)
-    }.asInstanceOf[Stream[HashPartitioning]]
+    }.asInstanceOf[Stream[HashPartitioningLike]]
       .take(conf.broadcastHashJoinOutputPartitioningExpandLimit))
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
index 14f1fb27906a1..9dcf7ec29048d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
 import org.apache.spark.sql.catalyst.plans.logical.{Filter, HintInfo, Join, JoinHint, NO_BROADCAST_AND_REPLICATION}
 import org.apache.spark.sql.execution.{BinaryExecNode, FilterExec, ProjectExec, SortExec, SparkPlan, WholeStageCodegenExec}
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
+import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExchangeLike}
 import org.apache.spark.sql.execution.joins._
 import org.apache.spark.sql.execution.python.BatchEvalPythonExec
 import org.apache.spark.sql.internal.SQLConf
@@ -1729,4 +1729,30 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
 
     checkAnswer(joined, expected)
   }
+
+  test("SPARK-45882: BroadcastHashJoinExec propagate partitioning should respect " +
+    "CoalescedHashPartitioning") {
+    val cached = spark.sql(
+      """
+        |select /*+ broadcast(testData) */ key, value, a
+        |from testData join (
+        | select a from testData2 group by a
+        |)tmp on key = a
+        |""".stripMargin).cache()
+    try {
+      val df = cached.groupBy("key").count()
+      val expected = Seq(Row(1, 1), Row(2, 1), Row(3, 1))
+      assert(find(df.queryExecution.executedPlan) {
+        case _: ShuffleExchangeLike => true
+        case _ => false
+      }.size == 1, df.queryExecution)
+      checkAnswer(df, expected)
+      assert(find(df.queryExecution.executedPlan) {
+        case _: ShuffleExchangeLike => true
+        case _ => false
+      }.isEmpty, df.queryExecution)
+    } finally {
+      cached.unpersist()
+    }
+  }
 }

From 4ca65c69a33da33f66969477bc8a6f88154ed305 Mon Sep 17 00:00:00 2001
From: Maryann Xue <maryann.xue@gmail.com>
Date: Tue, 14 Nov 2023 08:51:26 -0800
Subject: [PATCH 477/986] [SPARK-45592][SPARK-45282][SQL] Correctness issue in
 AQE with InMemoryTableScanExec

### What changes were proposed in this pull request?

This PR fixes an correctness issue while enabling AQE for SQL Cache. This issue was caused by AQE coalescing the top-level shuffle in the physical plan of InMemoryTableScan and wrongfully reported the output partitioning of that InMemoryTableScan as HashPartitioning as if it had not been coalesced. The caller query of that InMemoryTableScan in turn failed to align the partitions correctly and output incorrect join results.

The fix addresses the issue by disabling coalescing in InMemoryTableScan for shuffles in the final stage. This fix also guarantees that AQE enabled for SQL cache vs. disabled would always be a performance win, since AQE optimizations are applied to all non-top-level stages and meanwhile no extra shuffle would be introduced between the parent query and the cached relation (if coalescing in top-level shuffles of InMemoryTableScan was not disabled, an extra shuffle would end up being added on top of the cached relation when the cache is used in a join query and the partition key matches the join key in order to avoid the correctness issue).

### Why are the changes needed?

To fix correctness issue and to avoid potential AQE perf regressions in queries using SQL cache.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added UTs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43760 from maryannxue/spark-45592.

Authored-by: Maryann Xue <maryann.xue@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 128f5523194d5241c7b0f08b5be183288128ba16)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/internal/SQLConf.scala   |  9 ++++
 .../spark/sql/execution/CacheManager.scala    |  5 +-
 .../adaptive/AdaptiveSparkPlanExec.scala      |  8 ++-
 .../apache/spark/sql/CachedTableSuite.scala   | 52 +++++++++++++------
 .../org/apache/spark/sql/DatasetSuite.scala   | 33 ++++++++----
 5 files changed, 79 insertions(+), 28 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 4ea0cd5bcc126..70bd21ac1709d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -657,6 +657,15 @@ object SQLConf {
     .booleanConf
     .createWithDefault(false)
 
+  val ADAPTIVE_EXECUTION_APPLY_FINAL_STAGE_SHUFFLE_OPTIMIZATIONS =
+    buildConf("spark.sql.adaptive.applyFinalStageShuffleOptimizations")
+      .internal()
+      .doc("Configures whether adaptive query execution (if enabled) should apply shuffle " +
+        "coalescing and local shuffle read optimization for the final query stage.")
+      .version("3.4.2")
+      .booleanConf
+      .createWithDefault(true)
+
   val ADAPTIVE_EXECUTION_LOG_LEVEL = buildConf("spark.sql.adaptive.logLevel")
     .internal()
     .doc("Configures the log level for adaptive execution logging of plan changes. The value " +
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
index e906c74f8a5ee..9b79865149abd 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala
@@ -402,8 +402,9 @@ class CacheManager extends Logging with AdaptiveSparkPlanHelper {
     if (session.conf.get(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING)) {
       // Bucketed scan only has one time overhead but can have multi-times benefits in cache,
       // so we always do bucketed scan in a cached plan.
-      SparkSession.getOrCloneSessionWithConfigsOff(
-        session, SQLConf.AUTO_BUCKETED_SCAN_ENABLED :: Nil)
+      SparkSession.getOrCloneSessionWithConfigsOff(session,
+        SQLConf.ADAPTIVE_EXECUTION_APPLY_FINAL_STAGE_SHUFFLE_OPTIMIZATIONS ::
+          SQLConf.AUTO_BUCKETED_SCAN_ENABLED :: Nil)
     } else {
       SparkSession.getOrCloneSessionWithConfigsOff(session, forceDisableConfigs)
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
index 36895b17aa847..fa671c8faf8b3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
@@ -159,7 +159,13 @@ case class AdaptiveSparkPlanExec(
   )
 
   private def optimizeQueryStage(plan: SparkPlan, isFinalStage: Boolean): SparkPlan = {
-    val optimized = queryStageOptimizerRules.foldLeft(plan) { case (latestPlan, rule) =>
+    val rules = if (isFinalStage &&
+        !conf.getConf(SQLConf.ADAPTIVE_EXECUTION_APPLY_FINAL_STAGE_SHUFFLE_OPTIMIZATIONS)) {
+      queryStageOptimizerRules.filterNot(_.isInstanceOf[AQEShuffleReadRule])
+    } else {
+      queryStageOptimizerRules
+    }
+    val optimized = rules.foldLeft(plan) { case (latestPlan, rule) =>
       val applied = rule.apply(latestPlan)
       val result = rule match {
         case _: AQEShuffleReadRule if !applied.fastEquals(latestPlan) =>
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
index 1e4a67347f5b1..8331a3c10fc97 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
@@ -29,7 +29,7 @@ import org.apache.commons.io.FileUtils
 import org.apache.spark.CleanerListener
 import org.apache.spark.executor.DataReadMethod._
 import org.apache.spark.executor.DataReadMethod.DataReadMethod
-import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
+import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
 import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.catalyst.analysis.TempTableAlreadyExistsException
 import org.apache.spark.sql.catalyst.expressions.SubqueryExpression
@@ -39,6 +39,7 @@ import org.apache.spark.sql.execution.{ColumnarToRowExec, ExecSubqueryExpression
 import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, AQEPropagateEmptyRelation}
 import org.apache.spark.sql.execution.columnar._
 import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
+import org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.{SharedSparkSession, SQLTestUtils}
@@ -1623,23 +1624,44 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
       SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_NUM.key -> "1",
       SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true") {
 
-      withTempView("t1", "t2", "t3") {
-        withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "false") {
-          sql("CACHE TABLE t1 as SELECT /*+ REPARTITION */ * FROM values(1) as t(c)")
-          assert(spark.table("t1").rdd.partitions.length == 2)
+      var finalPlan = ""
+      val listener = new SparkListener {
+        override def onOtherEvent(event: SparkListenerEvent): Unit = {
+          event match {
+            case SparkListenerSQLAdaptiveExecutionUpdate(_, physicalPlanDesc, sparkPlanInfo) =>
+              if (sparkPlanInfo.simpleString.startsWith(
+                  "AdaptiveSparkPlan isFinalPlan=true")) {
+                finalPlan = physicalPlanDesc
+              }
+            case _ => // ignore other events
+          }
         }
+      }
 
-        withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "true") {
-          assert(spark.table("t1").rdd.partitions.length == 2)
-          sql("CACHE TABLE t2 as SELECT /*+ REPARTITION */ * FROM values(2) as t(c)")
-          assert(spark.table("t2").rdd.partitions.length == 1)
-        }
+      withTempView("t0", "t1", "t2") {
+        try {
+          spark.range(10).write.saveAsTable("t0")
+          spark.sparkContext.listenerBus.waitUntilEmpty()
+          spark.sparkContext.addSparkListener(listener)
 
-        withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "false") {
-          assert(spark.table("t1").rdd.partitions.length == 2)
-          assert(spark.table("t2").rdd.partitions.length == 1)
-          sql("CACHE TABLE t3 as SELECT /*+ REPARTITION */ * FROM values(3) as t(c)")
-          assert(spark.table("t3").rdd.partitions.length == 2)
+          withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "false") {
+            sql("CACHE TABLE t1 as SELECT /*+ REPARTITION */ * FROM (" +
+              "SELECT distinct (id+1) FROM t0)")
+            assert(spark.table("t1").rdd.partitions.length == 2)
+            spark.sparkContext.listenerBus.waitUntilEmpty()
+            assert(finalPlan.nonEmpty && !finalPlan.contains("coalesced"))
+          }
+
+          finalPlan = "" // reset finalPlan
+          withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "true") {
+            sql("CACHE TABLE t2 as SELECT /*+ REPARTITION */ * FROM (" +
+              "SELECT distinct (id-1) FROM t0)")
+            assert(spark.table("t2").rdd.partitions.length == 2)
+            spark.sparkContext.listenerBus.waitUntilEmpty()
+            assert(finalPlan.nonEmpty && finalPlan.contains("coalesced"))
+          }
+        } finally {
+          spark.sparkContext.removeSparkListener(listener)
         }
       }
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index 0878ae134e9d4..c2fe31520acf6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -2550,16 +2550,29 @@ class DatasetSuite extends QueryTest
   }
 
   test("SPARK-45592: Coaleasced shuffle read is not compatible with hash partitioning") {
-    val ee = spark.range(0, 1000000, 1, 5).map(l => (l, l)).toDF()
-      .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
-    ee.count()
-
-    val minNbrs1 = ee
-      .groupBy("_1").agg(min(col("_2")).as("min_number"))
-      .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
-
-    val join = ee.join(minNbrs1, "_1")
-    assert(join.count() == 1000000)
+    withSQLConf(SQLConf.CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING.key -> "true",
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+      SQLConf.SHUFFLE_PARTITIONS.key -> "20",
+      SQLConf.ADVISORY_PARTITION_SIZE_IN_BYTES.key -> "2000") {
+      val ee = spark.range(0, 1000, 1, 5).map(l => (l, l - 1)).toDF()
+        .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
+      ee.count()
+
+      // `minNbrs1` will start with 20 partitions and without the fix would coalesce to ~10
+      // partitions.
+      val minNbrs1 = ee
+        .groupBy("_2").agg(min(col("_1")).as("min_number"))
+        .select(col("_2") as "_1", col("min_number"))
+        .persist(org.apache.spark.storage.StorageLevel.MEMORY_AND_DISK)
+      minNbrs1.count()
+
+      // shuffle on `ee` will start with 2 partitions, smaller than `minNbrs1`'s partition num,
+      // and `EnsureRequirements` will change its partition num to `minNbrs1`'s partition num.
+      withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "5") {
+        val join = ee.join(minNbrs1, "_1")
+        assert(join.count() == 999)
+      }
+    }
   }
 
 }

From 41a7a4a3233772003aef380428acd9eaf39b9a93 Mon Sep 17 00:00:00 2001
From: Deepayan Patra <deepayan.patra@databricks.com>
Date: Wed, 15 Nov 2023 14:27:34 +0800
Subject: [PATCH 478/986] [SPARK-43393][SQL] Address sequence expression
 overflow bug

Spark has a (long-standing) overflow bug in the `sequence` expression.

Consider the following operations:
```
spark.sql("CREATE TABLE foo (l LONG);")
spark.sql(s"INSERT INTO foo VALUES (${Long.MaxValue});")
spark.sql("SELECT sequence(0, l) FROM foo;").collect()
```

The result of these operations will be:
```
Array[org.apache.spark.sql.Row] = Array([WrappedArray()])
```
an unintended consequence of overflow.

The sequence is applied to values `0` and `Long.MaxValue` with a step size of `1` which uses a length computation defined [here](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3451). In this calculation, with `start = 0`, `stop = Long.MaxValue`, and `step = 1`, the calculated `len` overflows to `Long.MinValue`. The computation, in binary looks like:

```
  0111111111111111111111111111111111111111111111111111111111111111
- 0000000000000000000000000000000000000000000000000000000000000000
------------------------------------------------------------------
  0111111111111111111111111111111111111111111111111111111111111111
/ 0000000000000000000000000000000000000000000000000000000000000001
------------------------------------------------------------------
  0111111111111111111111111111111111111111111111111111111111111111
+ 0000000000000000000000000000000000000000000000000000000000000001
------------------------------------------------------------------
  1000000000000000000000000000000000000000000000000000000000000000
```

The following [check](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3454) passes as the negative `Long.MinValue` is still `<= MAX_ROUNDED_ARRAY_LENGTH`. The following cast to `toInt` uses this representation and [truncates the upper bits](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3457) resulting in an empty length of `0`.

Other overflows are similarly problematic.

This PR addresses the issue by checking numeric operations in the length computation for overflow.

There is a correctness bug from overflow in the `sequence` expression.

No.

Tests added in `CollectionExpressionsSuite.scala`.

Closes #41072 from thepinetree/spark-sequence-overflow.

Authored-by: Deepayan Patra <deepayan.patra@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit afc4c49927cb7f0f2a7f24a42c4fe497796dd9e3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../expressions/collectionOperations.scala    | 48 +++++++++++-----
 .../CollectionExpressionsSuite.scala          | 56 +++++++++++++++++--
 2 files changed, 84 insertions(+), 20 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index ade4a6c5be722..c3c235fba677e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -22,6 +22,8 @@ import java.util.Comparator
 import scala.collection.mutable
 import scala.reflect.ClassTag
 
+import org.apache.spark.QueryContext
+import org.apache.spark.SparkException.internalError
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, TypeCoercion, UnresolvedAttribute, UnresolvedSeed}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
@@ -40,7 +42,6 @@ import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.SQLOpenHashSet
 import org.apache.spark.unsafe.UTF8StringBuilder
 import org.apache.spark.unsafe.array.ByteArrayMethods
-import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
 import org.apache.spark.unsafe.types.{ByteArray, CalendarInterval, UTF8String}
 
 /**
@@ -3080,6 +3081,34 @@ case class Sequence(
 }
 
 object Sequence {
+  private def prettyName: String = "sequence"
+
+  def sequenceLength(start: Long, stop: Long, step: Long): Int = {
+    try {
+      val delta = Math.subtractExact(stop, start)
+      if (delta == Long.MinValue && step == -1L) {
+        // We must special-case division of Long.MinValue by -1 to catch potential unchecked
+        // overflow in next operation. Division does not have a builtin overflow check. We
+        // previously special-case div-by-zero.
+        throw new ArithmeticException("Long overflow (Long.MinValue / -1)")
+      }
+      val len = if (stop == start) 1L else Math.addExact(1L, (delta / step))
+      if (len > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+        throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(prettyName, len)
+      }
+      len.toInt
+    } catch {
+      // We handle overflows in the previous try block by raising an appropriate exception.
+      case _: ArithmeticException =>
+        val safeLen =
+          BigInt(1) + (BigInt(stop) - BigInt(start)) / BigInt(step)
+        if (safeLen > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+          throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(prettyName, safeLen)
+        }
+        throw internalError("Unreachable code reached.")
+      case e: Exception => throw e
+    }
+  }
 
   private type LessThanOrEqualFn = (Any, Any) => Boolean
 
@@ -3451,13 +3480,7 @@ object Sequence {
         || (estimatedStep == num.zero && start == stop),
       s"Illegal sequence boundaries: $start to $stop by $step")
 
-    val len = if (start == stop) 1L else 1L + (stop.toLong - start.toLong) / estimatedStep.toLong
-
-    require(
-      len <= MAX_ROUNDED_ARRAY_LENGTH,
-      s"Too long sequence: $len. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
-
-    len.toInt
+    sequenceLength(start.toLong, stop.toLong, estimatedStep.toLong)
   }
 
   private def genSequenceLengthCode(
@@ -3467,7 +3490,7 @@ object Sequence {
       step: String,
       estimatedStep: String,
       len: String): String = {
-    val longLen = ctx.freshName("longLen")
+    val calcFn = classOf[Sequence].getName + ".sequenceLength"
     s"""
        |if (!(($estimatedStep > 0 && $start <= $stop) ||
        |  ($estimatedStep < 0 && $start >= $stop) ||
@@ -3475,12 +3498,7 @@ object Sequence {
        |  throw new IllegalArgumentException(
        |    "Illegal sequence boundaries: " + $start + " to " + $stop + " by " + $step);
        |}
-       |long $longLen = $stop == $start ? 1L : 1L + ((long) $stop - $start) / $estimatedStep;
-       |if ($longLen > $MAX_ROUNDED_ARRAY_LENGTH) {
-       |  throw new IllegalArgumentException(
-       |    "Too long sequence: " + $longLen + ". Should be <= $MAX_ROUNDED_ARRAY_LENGTH");
-       |}
-       |int $len = (int) $longLen;
+       |int $len = $calcFn((long) $start, (long) $stop, (long) $estimatedStep);
        """.stripMargin
   }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
index 1787f6ac72dd4..d001006c58cf1 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
@@ -34,7 +34,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeTestUtils.{outstandingZoneIds,
 import org.apache.spark.sql.catalyst.util.IntervalUtils._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
+import org.apache.spark.unsafe.array.ByteArrayMethods
 import org.apache.spark.unsafe.types.UTF8String
 
 class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
@@ -769,10 +769,6 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
 
     // test sequence boundaries checking
 
-    checkExceptionInExpression[IllegalArgumentException](
-      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
-      EmptyRow, s"Too long sequence: 4294967296. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
-
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(0)), EmptyRow, "boundaries: 1 to 2 by 0")
     checkExceptionInExpression[IllegalArgumentException](
@@ -782,6 +778,56 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(-1)), EmptyRow, "boundaries: 1 to 2 by -1")
 
+    // SPARK-43393: test Sequence overflow checking
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> (BigInt(Int.MaxValue) - BigInt { Int.MinValue } + 1).toString,
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(0L), Literal(Long.MaxValue), Literal(1L)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> (BigInt(Long.MaxValue) + 1).toString,
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(0L), Literal(Long.MinValue), Literal(-1L)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> ((0 - BigInt(Long.MinValue)) + 1).toString(),
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MinValue), Literal(Long.MaxValue), Literal(1L)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MaxValue), Literal(Long.MinValue), Literal(-1L)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MaxValue), Literal(-1L), Literal(-1L)),
+      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
+      parameters = Map(
+        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { -1L } + 1).toString,
+        "functionName" -> toSQLId("sequence"),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
+        "parameter" -> toSQLId("count")))
+
     // test sequence with one element (zero step or equal start and stop)
 
     checkEvaluation(new Sequence(Literal(1), Literal(1), Literal(-1)), Seq(1))

From e38310c74e6cae8c8c8489ffcbceb80ed37a7cae Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 15 Nov 2023 09:12:42 -0800
Subject: [PATCH 479/986] Revert "[SPARK-43393][SQL] Address sequence
 expression overflow bug"

This reverts commit 41a7a4a3233772003aef380428acd9eaf39b9a93.
---
 .../expressions/collectionOperations.scala    | 48 +++++-----------
 .../CollectionExpressionsSuite.scala          | 56 ++-----------------
 2 files changed, 20 insertions(+), 84 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index c3c235fba677e..ade4a6c5be722 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -22,8 +22,6 @@ import java.util.Comparator
 import scala.collection.mutable
 import scala.reflect.ClassTag
 
-import org.apache.spark.QueryContext
-import org.apache.spark.SparkException.internalError
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, TypeCoercion, UnresolvedAttribute, UnresolvedSeed}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
@@ -42,6 +40,7 @@ import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.SQLOpenHashSet
 import org.apache.spark.unsafe.UTF8StringBuilder
 import org.apache.spark.unsafe.array.ByteArrayMethods
+import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
 import org.apache.spark.unsafe.types.{ByteArray, CalendarInterval, UTF8String}
 
 /**
@@ -3081,34 +3080,6 @@ case class Sequence(
 }
 
 object Sequence {
-  private def prettyName: String = "sequence"
-
-  def sequenceLength(start: Long, stop: Long, step: Long): Int = {
-    try {
-      val delta = Math.subtractExact(stop, start)
-      if (delta == Long.MinValue && step == -1L) {
-        // We must special-case division of Long.MinValue by -1 to catch potential unchecked
-        // overflow in next operation. Division does not have a builtin overflow check. We
-        // previously special-case div-by-zero.
-        throw new ArithmeticException("Long overflow (Long.MinValue / -1)")
-      }
-      val len = if (stop == start) 1L else Math.addExact(1L, (delta / step))
-      if (len > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
-        throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(prettyName, len)
-      }
-      len.toInt
-    } catch {
-      // We handle overflows in the previous try block by raising an appropriate exception.
-      case _: ArithmeticException =>
-        val safeLen =
-          BigInt(1) + (BigInt(stop) - BigInt(start)) / BigInt(step)
-        if (safeLen > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
-          throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(prettyName, safeLen)
-        }
-        throw internalError("Unreachable code reached.")
-      case e: Exception => throw e
-    }
-  }
 
   private type LessThanOrEqualFn = (Any, Any) => Boolean
 
@@ -3480,7 +3451,13 @@ object Sequence {
         || (estimatedStep == num.zero && start == stop),
       s"Illegal sequence boundaries: $start to $stop by $step")
 
-    sequenceLength(start.toLong, stop.toLong, estimatedStep.toLong)
+    val len = if (start == stop) 1L else 1L + (stop.toLong - start.toLong) / estimatedStep.toLong
+
+    require(
+      len <= MAX_ROUNDED_ARRAY_LENGTH,
+      s"Too long sequence: $len. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
+
+    len.toInt
   }
 
   private def genSequenceLengthCode(
@@ -3490,7 +3467,7 @@ object Sequence {
       step: String,
       estimatedStep: String,
       len: String): String = {
-    val calcFn = classOf[Sequence].getName + ".sequenceLength"
+    val longLen = ctx.freshName("longLen")
     s"""
        |if (!(($estimatedStep > 0 && $start <= $stop) ||
        |  ($estimatedStep < 0 && $start >= $stop) ||
@@ -3498,7 +3475,12 @@ object Sequence {
        |  throw new IllegalArgumentException(
        |    "Illegal sequence boundaries: " + $start + " to " + $stop + " by " + $step);
        |}
-       |int $len = $calcFn((long) $start, (long) $stop, (long) $estimatedStep);
+       |long $longLen = $stop == $start ? 1L : 1L + ((long) $stop - $start) / $estimatedStep;
+       |if ($longLen > $MAX_ROUNDED_ARRAY_LENGTH) {
+       |  throw new IllegalArgumentException(
+       |    "Too long sequence: " + $longLen + ". Should be <= $MAX_ROUNDED_ARRAY_LENGTH");
+       |}
+       |int $len = (int) $longLen;
        """.stripMargin
   }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
index d001006c58cf1..1787f6ac72dd4 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
@@ -34,7 +34,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeTestUtils.{outstandingZoneIds,
 import org.apache.spark.sql.catalyst.util.IntervalUtils._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.array.ByteArrayMethods
+import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
 import org.apache.spark.unsafe.types.UTF8String
 
 class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
@@ -769,6 +769,10 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
 
     // test sequence boundaries checking
 
+    checkExceptionInExpression[IllegalArgumentException](
+      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
+      EmptyRow, s"Too long sequence: 4294967296. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
+
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(0)), EmptyRow, "boundaries: 1 to 2 by 0")
     checkExceptionInExpression[IllegalArgumentException](
@@ -778,56 +782,6 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(-1)), EmptyRow, "boundaries: 1 to 2 by -1")
 
-    // SPARK-43393: test Sequence overflow checking
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> (BigInt(Int.MaxValue) - BigInt { Int.MinValue } + 1).toString,
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(0L), Literal(Long.MaxValue), Literal(1L)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> (BigInt(Long.MaxValue) + 1).toString,
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(0L), Literal(Long.MinValue), Literal(-1L)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> ((0 - BigInt(Long.MinValue)) + 1).toString(),
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(Long.MinValue), Literal(Long.MaxValue), Literal(1L)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(Long.MaxValue), Literal(Long.MinValue), Literal(-1L)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-    checkErrorInExpression[SparkRuntimeException](
-      new Sequence(Literal(Long.MaxValue), Literal(-1L), Literal(-1L)),
-      errorClass = "COLLECTION_SIZE_LIMIT_EXCEEDED.PARAMETER",
-      parameters = Map(
-        "numberOfElements" -> (BigInt(Long.MaxValue) - BigInt { -1L } + 1).toString,
-        "functionName" -> toSQLId("sequence"),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString(),
-        "parameter" -> toSQLId("count")))
-
     // test sequence with one element (zero step or equal start and stop)
 
     checkEvaluation(new Sequence(Literal(1), Literal(1), Literal(-1)), Seq(1))

From a9f95e8203bede86462e681bb7a3e6123b8c00a2 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 15 Nov 2023 14:12:36 -0800
Subject: [PATCH 480/986] [SPARK-45934][DOCS] Fix `Spark Standalone`
 documentation table layout
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR fixes `Spark Standalone` documentation table layout.

**BEFORE**
- https://spark.apache.org/docs/3.5.0/spark-standalone.html

**AFTER**
- Spark Standalone
<img width="965" alt="Screenshot 2023-11-15 at 2 40 59 AM" src="https://github.com/apache/spark/assets/9700541/281ca898-f252-47c2-8cf3-0504bcdcbfb3">

No.

Manual review.

No.

Closes #43814 from dongjoon-hyun/SPARK-45934.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit e8c2a590f99d8c87968c79960e6b69191f28b420)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/spark-standalone.md | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index 3e87edad0aadd..ebda8d897eae9 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -254,7 +254,7 @@ SPARK_MASTER_OPTS supports the following system properties:
   <td>0.6.2</td>
 </tr>
 <tr>
-  <td><code>spark.worker.resource.{resourceName}.amount</code></td>
+  <td><code>spark.worker.resource.{name}.amount</code></td>
   <td>(none)</td>
   <td>
     Amount of a particular resource to use on the worker.
@@ -262,7 +262,7 @@ SPARK_MASTER_OPTS supports the following system properties:
   <td>3.0.0</td>
 </tr>
 <tr>
-  <td><code>spark.worker.resource.{resourceName}.discoveryScript</code></td>
+  <td><code>spark.worker.resource.{name}.discoveryScript</code></td>
   <td>(none)</td>
   <td>
     Path to resource discovery script, which is used to find a particular resource while worker starting up.
@@ -275,8 +275,10 @@ SPARK_MASTER_OPTS supports the following system properties:
   <td>(none)</td>
   <td>
     Path to resources file which is used to find various resources while worker starting up.
-    The content of resources file should be formatted like <code>
-    [{"id":{"componentName": "spark.worker","resourceName":"gpu"},"addresses":["0","1","2"]}]</code>.
+    The content of resources file should be formatted like
+    <code>[{"id":{"componentName":</code>
+    <code>"spark.worker", "resourceName":"gpu"},</code>
+    <code>"addresses":["0","1","2"]}]</code>.
     If a particular resource is not found in the resources file, the discovery script would be used to
     find that resource. If the discovery script also does not find the resources, the worker will fail
     to start up.

From 44bd909ef9e6f4d5419b5757a265fa9ead001cbb Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Thu, 16 Nov 2023 00:52:48 -0800
Subject: [PATCH 481/986] [SPARK-45764][PYTHON][DOCS][3.5] Make code block
 copyable

### What changes were proposed in this pull request?
The pr aims to make code block `copyable `in pyspark docs.
Backport above to `branch 3.5`.
Master branch pr: https://github.com/apache/spark/pull/43799

### Why are the changes needed?
Improving the usability of PySpark documents.

### Does this PR introduce _any_ user-facing change?
Yes, users will be able to easily copy code block in pyspark docs.

### How was this patch tested?
- Manually test.
- Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43827 from panbingkun/branch-3.5_SPARK-45764.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml     |  2 +-
 LICENSE                                  |  5 --
 dev/create-release/spark-rm/Dockerfile   |  2 +-
 dev/requirements.txt                     |  1 +
 licenses/LICENSE-copybutton.txt          | 49 -----------------
 python/docs/source/_static/copybutton.js | 67 ------------------------
 python/docs/source/conf.py               |  7 +--
 7 files changed, 7 insertions(+), 126 deletions(-)
 delete mode 100644 licenses/LICENSE-copybutton.txt
 delete mode 100644 python/docs/source/_static/copybutton.js

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 674e59508510c..f202a7d49c9a2 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -678,7 +678,7 @@ jobs:
         #   See also https://issues.apache.org/jira/browse/SPARK-35375.
         # Pin the MarkupSafe to 2.0.1 to resolve the CI error.
         #   See also https://issues.apache.org/jira/browse/SPARK-38279.
-        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0'
+        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0'
         python3.9 -m pip install ipython_genutils # See SPARK-38517
         python3.9 -m pip install sphinx_plotly_directive 'numpy>=1.20.0' pyarrow pandas 'plotly>=4.8'
         python3.9 -m pip install 'docutils<0.18.0' # See SPARK-39421
diff --git a/LICENSE b/LICENSE
index 1735d3208f2e2..74686d7ffa388 100644
--- a/LICENSE
+++ b/LICENSE
@@ -218,11 +218,6 @@ docs/js/vendor/bootstrap.js
 connector/spark-ganglia-lgpl/src/main/java/com/codahale/metrics/ganglia/GangliaReporter.java
 
 
-Python Software Foundation License
-----------------------------------
-
-python/docs/source/_static/copybutton.js
-
 BSD 3-Clause
 ------------
 
diff --git a/dev/create-release/spark-rm/Dockerfile b/dev/create-release/spark-rm/Dockerfile
index 85155b67bd5a3..cd57226f5e017 100644
--- a/dev/create-release/spark-rm/Dockerfile
+++ b/dev/create-release/spark-rm/Dockerfile
@@ -42,7 +42,7 @@ ARG APT_INSTALL="apt-get install --no-install-recommends -y"
 #   We should use the latest Sphinx version once this is fixed.
 # TODO(SPARK-35375): Jinja2 3.0.0+ causes error when building with Sphinx.
 #   See also https://issues.apache.org/jira/browse/SPARK-35375.
-ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.8.0 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 pandas==1.5.3 pyarrow==3.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
+ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.8.0 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 sphinx-copybutton==0.5.2 pandas==1.5.3 pyarrow==3.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
 ARG GEM_PKGS="bundler:2.3.8"
 
 # Install extra needed repos and refresh.
diff --git a/dev/requirements.txt b/dev/requirements.txt
index 38a9b2447108c..597417aba1f3d 100644
--- a/dev/requirements.txt
+++ b/dev/requirements.txt
@@ -37,6 +37,7 @@ numpydoc
 jinja2<3.0.0
 sphinx<3.1.0
 sphinx-plotly-directive
+sphinx-copybutton<0.5.3
 docutils<0.18.0
 # See SPARK-38279.
 markupsafe==2.0.1
diff --git a/licenses/LICENSE-copybutton.txt b/licenses/LICENSE-copybutton.txt
deleted file mode 100644
index 45be6b83a53be..0000000000000
--- a/licenses/LICENSE-copybutton.txt
+++ /dev/null
@@ -1,49 +0,0 @@
-PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
---------------------------------------------
-
-1. This LICENSE AGREEMENT is between the Python Software Foundation
-("PSF"), and the Individual or Organization ("Licensee") accessing and
-otherwise using this software ("Python") in source or binary form and
-its associated documentation.
-
-2. Subject to the terms and conditions of this License Agreement, PSF hereby
-grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
-analyze, test, perform and/or display publicly, prepare derivative works,
-distribute, and otherwise use Python alone or in any derivative version,
-provided, however, that PSF's License Agreement and PSF's notice of copyright,
-i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
-2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 Python Software Foundation;
-All Rights Reserved" are retained in Python alone or in any derivative version
-prepared by Licensee.
-
-3. In the event Licensee prepares a derivative work that is based on
-or incorporates Python or any part thereof, and wants to make
-the derivative work available to others as provided herein, then
-Licensee hereby agrees to include in any such work a brief summary of
-the changes made to Python.
-
-4. PSF is making Python available to Licensee on an "AS IS"
-basis.  PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
-IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
-DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
-FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
-INFRINGE ANY THIRD PARTY RIGHTS.
-
-5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
-FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
-A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
-OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
-
-6. This License Agreement will automatically terminate upon a material
-breach of its terms and conditions.
-
-7. Nothing in this License Agreement shall be deemed to create any
-relationship of agency, partnership, or joint venture between PSF and
-Licensee.  This License Agreement does not grant permission to use PSF
-trademarks or trade name in a trademark sense to endorse or promote
-products or services of Licensee, or any third party.
-
-8. By copying, installing or otherwise using Python, Licensee
-agrees to be bound by the terms and conditions of this License
-Agreement.
-
diff --git a/python/docs/source/_static/copybutton.js b/python/docs/source/_static/copybutton.js
deleted file mode 100644
index 896faad3f9df1..0000000000000
--- a/python/docs/source/_static/copybutton.js
+++ /dev/null
@@ -1,67 +0,0 @@
-// Copyright 2014 PSF. Licensed under the PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
-// File originates from the cpython source found in Doc/tools/sphinxext/static/copybutton.js
-
-$(document).ready(function() {
-    /* Add a [>>>] button on the top-right corner of code samples to hide
-     * the >>> and ... prompts and the output and thus make the code
-     * copyable. */
-    var div = $('.highlight-python .highlight,' +
-                '.highlight-default .highlight,' +
-                '.highlight-python3 .highlight')
-    var pre = div.find('pre');
-
-    // get the styles from the current theme
-    pre.parent().parent().css('position', 'relative');
-    var hide_text = 'Hide the prompts and output';
-    var show_text = 'Show the prompts and output';
-    var border_width = pre.css('border-top-width');
-    var border_style = pre.css('border-top-style');
-    var border_color = pre.css('border-top-color');
-    var button_styles = {
-        'cursor':'pointer', 'position': 'absolute', 'top': '0', 'right': '0',
-        'border-color': border_color, 'border-style': border_style,
-        'border-width': border_width, 'color': border_color, 'text-size': '75%',
-        'font-family': 'monospace', 'padding-left': '0.2em', 'padding-right': '0.2em',
-        'border-radius': '0 3px 0 0',
-        'user-select': 'none'
-    }
-
-    // create and add the button to all the code blocks that contain >>>
-    div.each(function(index) {
-        var jthis = $(this);
-        if (jthis.find('.gp').length > 0) {
-            var button = $('<span class="copybutton">&gt;&gt;&gt;</span>');
-            button.css(button_styles)
-            button.attr('title', hide_text);
-            button.data('hidden', 'false');
-            jthis.prepend(button);
-        }
-        // tracebacks (.gt) contain bare text elements that need to be
-        // wrapped in a span to work with .nextUntil() (see later)
-        jthis.find('pre:has(.gt)').contents().filter(function() {
-            return ((this.nodeType == 3) && (this.data.trim().length > 0));
-        }).wrap('<span>');
-    });
-
-    // define the behavior of the button when it's clicked
-    $('.copybutton').click(function(e){
-        e.preventDefault();
-        var button = $(this);
-        if (button.data('hidden') === 'false') {
-            // hide the code output
-            button.parent().find('.go, .gp, .gt').hide();
-            button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'hidden');
-            button.css('text-decoration', 'line-through');
-            button.attr('title', show_text);
-            button.data('hidden', 'true');
-        } else {
-            // show the code output
-            button.parent().find('.go, .gp, .gt').show();
-            button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'visible');
-            button.css('text-decoration', 'none');
-            button.attr('title', hide_text);
-            button.data('hidden', 'false');
-        }
-    });
-});
-
diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 0f57cb37ceeb1..a0d087de176ff 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -63,6 +63,7 @@
     'sphinx.ext.viewcode',
     'sphinx.ext.mathjax',
     'sphinx.ext.autosummary',
+    'sphinx_copybutton',
     'nbsphinx',  # Converts Jupyter Notebook to reStructuredText files for Sphinx.
     # For ipython directive in reStructuredText files. It is generated by the notebook.
     'IPython.sphinxext.ipython_console_highlighting',
@@ -70,6 +71,9 @@
     'sphinx_plotly_directive',  # For visualize plot result
 ]
 
+# sphinx copy button
+copybutton_exclude = '.linenos, .gp, .go'
+
 # plotly plot directive
 plotly_include_source = True
 plotly_html_show_formats = False
@@ -416,9 +420,6 @@
 
 # If false, no index is generated.
 #epub_use_index = True
-def setup(app):
-    # The app.add_javascript() is deprecated.
-    getattr(app, "add_js_file", getattr(app, "add_javascript", None))('copybutton.js')
 
 # Skip sample endpoint link (not expected to resolve)
 linkcheck_ignore = [r'https://kinesis.us-east-1.amazonaws.com']

From b962cb26ed20d695e408958be452f0a947e7e989 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Thu, 16 Nov 2023 18:00:56 +0900
Subject: [PATCH 482/986] [SPARK-45935][PYTHON][DOCS] Fix RST files link
 substitutions error

### What changes were proposed in this pull request?
The pr aims to fix RST files `link substitutions` error.
Target branch: branch-3.3, branch-3.4, branch-3.5, master.

### Why are the changes needed?
When I was reviewing Python documents, I found that `the actual address` of the link was incorrect, eg:
https://spark.apache.org/docs/latest/api/python/getting_started/install.html#installing-from-source
<img width="916" alt="image" src="https://github.com/apache/spark/assets/15246973/069c1875-1e21-45db-a236-15c27ee7b913">

`The ref link url` of `Building Spark`: from `https://spark.apache.org/docs/3.5.0/#downloading` to `https://spark.apache.org/docs/3.5.0/building-spark.html`.
We should fix it.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43815 from panbingkun/SPARK-45935.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 79ccdfa31e282ebe9a82c8f20c703b6ad2ea6bc1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/docs/source/conf.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index a0d087de176ff..08a25c5dd0712 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -98,9 +98,9 @@
 .. |examples| replace:: Examples
 .. _examples: https://github.com/apache/spark/tree/{0}/examples/src/main/python
 .. |downloading| replace:: Downloading
-.. _downloading: https://spark.apache.org/docs/{1}/building-spark.html
+.. _downloading: https://spark.apache.org/docs/{1}/#downloading
 .. |building_spark| replace:: Building Spark
-.. _building_spark: https://spark.apache.org/docs/{1}/#downloading
+.. _building_spark: https://spark.apache.org/docs/{1}/building-spark.html
 """.format(
     os.environ.get("GIT_HASH", "master"),
     os.environ.get("RELEASE_VERSION", "latest"),

From f0054c5a10bf388688e7b2914cb639c96ffdd8f3 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 16 Nov 2023 08:16:20 -0800
Subject: [PATCH 483/986] [SPARK-45920][SQL][3.5] group by ordinal should be
 idempotent

backport https://github.com/apache/spark/pull/43797

### What changes were proposed in this pull request?

GROUP BY ordinal is not idempotent today. If the ordinal points to another integer literal and the plan get analyzed again, we will re-do the ordinal resolution which can lead to wrong result or index out-of-bound error. This PR fixes it by using a hack: if the ordinal points to another integer literal, don't replace the ordinal.

### Why are the changes needed?

For advanced users or Spark plugins, they may manipulate the logical plans directly. We need to make the framework more reliable.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #43836 from cloud-fan/3.5-port.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      | 14 ++++++++++-
 .../SubstituteUnresolvedOrdinalsSuite.scala   | 23 +++++++++++++++++--
 .../analyzer-results/group-by-ordinal.sql.out |  2 +-
 3 files changed, 35 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 80cb5d8c60876..02b9c2445433b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -1970,7 +1970,19 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
               throw QueryCompilationErrors.groupByPositionRefersToAggregateFunctionError(
                 index, ordinalExpr)
             } else {
-              ordinalExpr
+              trimAliases(ordinalExpr) match {
+                // HACK ALERT: If the ordinal expression is also an integer literal, don't use it
+                //             but still keep the ordinal literal. The reason is we may repeatedly
+                //             analyze the plan. Using a different integer literal may lead to
+                //             a repeat GROUP BY ordinal resolution which is wrong. GROUP BY
+                //             constant is meaningless so whatever value does not matter here.
+                // TODO: (SPARK-45932) GROUP BY ordinal should pull out grouping expressions to
+                //       a Project, then the resolved ordinal expression is always
+                //       `AttributeReference`.
+                case Literal(_: Int, IntegerType) =>
+                  Literal(index)
+                case _ => ordinalExpr
+              }
             }
           } else {
             throw QueryCompilationErrors.groupByPositionRangeError(index, aggs.size)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
index b0d7ace646e2e..953b2c8bb1011 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
@@ -17,10 +17,11 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
-import org.apache.spark.sql.catalyst.analysis.TestRelations.testRelation2
+import org.apache.spark.sql.catalyst.analysis.TestRelations.{testRelation, testRelation2}
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.catalyst.expressions.{GenericInternalRow, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
 import org.apache.spark.sql.internal.SQLConf
 
 class SubstituteUnresolvedOrdinalsSuite extends AnalysisTest {
@@ -67,4 +68,22 @@ class SubstituteUnresolvedOrdinalsSuite extends AnalysisTest {
         testRelation2.groupBy(Literal(1), Literal(2))($"a", $"b"))
     }
   }
+
+  test("SPARK-45920: group by ordinal repeated analysis") {
+    val plan = testRelation.groupBy(Literal(1))(Literal(100).as("a")).analyze
+    comparePlans(
+      plan,
+      testRelation.groupBy(Literal(1))(Literal(100).as("a"))
+    )
+
+    val testRelationWithData = testRelation.copy(data = Seq(new GenericInternalRow(Array(1: Any))))
+    // Copy the plan to reset its `analyzed` flag, so that analyzer rules will re-apply.
+    val copiedPlan = plan.transform {
+      case _: LocalRelation => testRelationWithData
+    }
+    comparePlans(
+      copiedPlan.analyze, // repeated analysis
+      testRelationWithData.groupBy(Literal(1))(Literal(100).as("a"))
+    )
+  }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-ordinal.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-ordinal.sql.out
index c8c34a856d492..1bcde5bd367f7 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-ordinal.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by-ordinal.sql.out
@@ -61,7 +61,7 @@ Aggregate [a#x, a#x], [a#x, 1 AS 1#x, sum(b#x) AS sum(b)#xL]
 -- !query
 select a, 1, sum(b) from data group by 1, 2
 -- !query analysis
-Aggregate [a#x, 1], [a#x, 1 AS 1#x, sum(b#x) AS sum(b)#xL]
+Aggregate [a#x, 2], [a#x, 1 AS 1#x, sum(b#x) AS sum(b)#xL]
 +- SubqueryAlias data
    +- View (`data`, [a#x,b#x])
       +- Project [cast(a#x as int) AS a#x, cast(b#x as int) AS b#x]

From e3549b253644749a373daf11108825ad38b3f055 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 16 Nov 2023 15:36:59 -0800
Subject: [PATCH 484/986] [SPARK-45961][DOCS][3.5] Document `spark.master.*`
 configurations
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This PR documents `spark.master.*` configurations.

### Why are the changes needed?

Currently, `spark.master.*` configurations are undocumented.
```
$ git grep 'ConfigBuilder("spark.master'
core/src/main/scala/org/apache/spark/internal/config/UI.scala:  val MASTER_UI_DECOMMISSION_ALLOW_MODE = ConfigBuilder("spark.master.ui.decommission.allow.mode")
core/src/main/scala/org/apache/spark/internal/config/package.scala:  private[spark] val MASTER_REST_SERVER_ENABLED = ConfigBuilder("spark.master.rest.enabled")
core/src/main/scala/org/apache/spark/internal/config/package.scala:  private[spark] val MASTER_REST_SERVER_PORT = ConfigBuilder("spark.master.rest.port")
core/src/main/scala/org/apache/spark/internal/config/package.scala:  private[spark] val MASTER_UI_PORT = ConfigBuilder("spark.master.ui.port")
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review.

![Screenshot 2023-11-16 at 2 55 09 PM](https://github.com/apache/spark/assets/9700541/da096ad6-0dec-4cda-90dd-ecf376988ac8)

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43849 from dongjoon-hyun/SPARK-45961-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/spark-standalone.md | 35 +++++++++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)

diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index ebda8d897eae9..9152547f1bec4 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -190,6 +190,41 @@ SPARK_MASTER_OPTS supports the following system properties:
 
 <table class="table table-striped">
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
+<tr>
+  <td><code>spark.master.ui.port</code></td>
+  <td><code>8080</code></td>
+  <td>
+    Specifies the port number of the Master Web UI endpoint.
+  </td>
+  <td>1.1.0</td>
+</tr>
+<tr>
+  <td><code>spark.master.ui.decommission.allow.mode</code></td>
+  <td><code>LOCAL</code></td>
+  <td>
+    Specifies the behavior of the Master Web UI's /workers/kill endpoint. Possible choices
+    are: <code>LOCAL</code> means allow this endpoint from IP's that are local to the machine running
+    the Master, <code>DENY</code> means to completely disable this endpoint, <code>ALLOW</code> means to allow
+    calling this endpoint from any IP.
+  </td>
+  <td>3.1.0</td>
+</tr>
+<tr>
+  <td><code>spark.master.rest.enabled</code></td>
+  <td><code>false</code></td>
+  <td>
+    Whether to use the Master REST API endpoint or not.
+  </td>
+  <td>1.3.0</td>
+</tr>
+<tr>
+  <td><code>spark.master.rest.port</code></td>
+  <td><code>6066</code></td>
+  <td>
+    Specifies the port number of the Master REST API endpoint.
+  </td>
+  <td>1.3.0</td>
+</tr>
 <tr>
   <td><code>spark.deploy.retainedApplications</code></td>
   <td>200</td>

From 01eb6c83324be76dc30b0857aab9e126fe2ea25d Mon Sep 17 00:00:00 2001
From: Kazuyuki Tanimura <ktanimura@apple.com>
Date: Fri, 17 Nov 2023 02:49:51 -0800
Subject: [PATCH 485/986] [SPARK-45786][SQL][FOLLOWUP][TEST] Fix Decimal random
 number tests with ANSI enabled

### What changes were proposed in this pull request?
This follow-up PR fixes the test for SPARK-45786 that is failing in GHA with SPARK_ANSI_SQL_MODE=true

### Why are the changes needed?
The issue discovered in https://github.com/apache/spark/pull/43678#discussion_r1395693417

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Test updated

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43853 from kazuyukitanimura/SPARK-45786-FollowUp.

Authored-by: Kazuyuki Tanimura <ktanimura@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 949de3416a8ef5b7faa22149f5e07d8235237f40)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/ArithmeticExpressionSuite.scala  | 16 ++++++++++++----
 1 file changed, 12 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
index 568dcd10d1166..2dc7e82f77226 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
@@ -308,27 +308,35 @@ class ArithmeticExpressionSuite extends SparkFunSuite with ExpressionEvalHelper
           val mulResult = Decimal(mulExact.setScale(mulType.scale, RoundingMode.HALF_UP))
           val mulExpected =
             if (mulResult.precision > DecimalType.MAX_PRECISION) null else mulResult
-          checkEvaluation(mulActual, mulExpected)
+          checkEvaluationOrException(mulActual, mulExpected)
 
           val divType = Divide(null, null).resultDecimalType(p1, s1, p2, s2)
           val divResult = Decimal(divExact.setScale(divType.scale, RoundingMode.HALF_UP))
           val divExpected =
             if (divResult.precision > DecimalType.MAX_PRECISION) null else divResult
-          checkEvaluation(divActual, divExpected)
+          checkEvaluationOrException(divActual, divExpected)
 
           val remType = Remainder(null, null).resultDecimalType(p1, s1, p2, s2)
           val remResult = Decimal(remExact.setScale(remType.scale, RoundingMode.HALF_UP))
           val remExpected =
             if (remResult.precision > DecimalType.MAX_PRECISION) null else remResult
-          checkEvaluation(remActual, remExpected)
+          checkEvaluationOrException(remActual, remExpected)
 
           val quotType = IntegralDivide(null, null).resultDecimalType(p1, s1, p2, s2)
           val quotResult = Decimal(quotExact.setScale(quotType.scale, RoundingMode.HALF_UP))
           val quotExpected =
             if (quotResult.precision > DecimalType.MAX_PRECISION) null else quotResult
-          checkEvaluation(quotActual, quotExpected.toLong)
+          checkEvaluationOrException(quotActual, quotExpected.toLong)
         }
       }
+
+      def checkEvaluationOrException(actual: BinaryArithmetic, expected: Any): Unit =
+        if (SQLConf.get.ansiEnabled && expected == null) {
+          checkExceptionInExpression[SparkArithmeticException](actual,
+            "NUMERIC_VALUE_OUT_OF_RANGE")
+        } else {
+          checkEvaluation(actual, expected)
+        }
     }
   }
 

From 9e492b71c4aaa070bc36bfae120e1c6ca05e4a7a Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 17 Nov 2023 13:04:19 -0800
Subject: [PATCH 486/986] [SPARK-45963][SQL][DOCS][3.5] Restore documentation
 for DSv2 API

This PR cherry-picks https://github.com/apache/spark/pull/43855 to branch-3.5

---

### What changes were proposed in this pull request?

This PR restores the DSv2 documentation. https://github.com/apache/spark/pull/38392 mistakenly added `org/apache/spark/sql/connect` as a private that includes `org/apache/spark/sql/connector`.

### Why are the changes needed?

For end users to read DSv2 documentation.

### Does this PR introduce _any_ user-facing change?

Yes, it restores the DSv2 API documentation that used to be there https://spark.apache.org/docs/3.3.0/api/scala/org/apache/spark/sql/connector/catalog/index.html

### How was this patch tested?

Manually tested via:

```
SKIP_PYTHONDOC=1 SKIP_RDOC=1 SKIP_SQLDOC=1 bundle exec jekyll build
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43865 from HyukjinKwon/SPARK-45963-3.5.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 project/SparkBuild.scala                                      | 2 +-
 .../spark/sql/connector/catalog/SupportsMetadataColumns.java  | 4 ++--
 .../spark/sql/connector/catalog/InMemoryBaseTable.scala       | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 718f2bb28cec4..60d52368de458 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1401,7 +1401,7 @@ object Unidoc {
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/util/io")))
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/util/kvstore")))
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalyst")))
-      .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/connect")))
+      .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/connect/")))
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/execution")))
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/internal")))
       .map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/hive")))
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsMetadataColumns.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsMetadataColumns.java
index 894184dbcc82d..e42424268b44d 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsMetadataColumns.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsMetadataColumns.java
@@ -58,8 +58,8 @@ public interface SupportsMetadataColumns extends Table {
    * Determines how this data source handles name conflicts between metadata and data columns.
    * <p>
    * If true, spark will automatically rename the metadata column to resolve the conflict. End users
-   * can reliably select metadata columns (renamed or not) with {@link Dataset.metadataColumn}, and
-   * internal code can use {@link MetadataAttributeWithLogicalName} to extract the logical name from
+   * can reliably select metadata columns (renamed or not) with {@code Dataset.metadataColumn}, and
+   * internal code can use {@code MetadataAttributeWithLogicalName} to extract the logical name from
    * a metadata attribute.
    * <p>
    * If false, the data column will hide the metadata column. It is recommended that Table
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/InMemoryBaseTable.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/InMemoryBaseTable.scala
index a0a4d8bdee9f5..a309db341d8e6 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/InMemoryBaseTable.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/InMemoryBaseTable.scala
@@ -619,9 +619,9 @@ class BufferedRows(val key: Seq[Any] = Seq.empty) extends WriterCommitMessage
 }
 
 /**
- * Theoretically, [[InternalRow]] returned by [[HasPartitionKey#partitionKey()]]
+ * Theoretically, `InternalRow` returned by `HasPartitionKey#partitionKey()`
  * does not need to implement equal and hashcode methods.
- * But [[GenericInternalRow]] implements equals and hashcode methods already. Here we override it
+ * But `GenericInternalRow` implements equals and hashcode methods already. Here we override it
  * to simulate that it has not been implemented to verify codes correctness.
  */
 case class PartitionInternalRow(keys: Array[Any])

From f3baf086acdf166445aef81181d13d4884d44e92 Mon Sep 17 00:00:00 2001
From: Deepayan Patra <deepayan.patra@databricks.com>
Date: Fri, 17 Nov 2023 13:17:43 -0800
Subject: [PATCH 487/986] [SPARK-43393][SQL][3.5] Address sequence expression
 overflow bug

### What changes were proposed in this pull request?
Spark has a (long-standing) overflow bug in the `sequence` expression.

Consider the following operations:
```
spark.sql("CREATE TABLE foo (l LONG);")
spark.sql(s"INSERT INTO foo VALUES (${Long.MaxValue});")
spark.sql("SELECT sequence(0, l) FROM foo;").collect()
```

The result of these operations will be:
```
Array[org.apache.spark.sql.Row] = Array([WrappedArray()])
```
an unintended consequence of overflow.

The sequence is applied to values `0` and `Long.MaxValue` with a step size of `1` which uses a length computation defined [here](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3451). In this calculation, with `start = 0`, `stop = Long.MaxValue`, and `step = 1`, the calculated `len` overflows to `Long.MinValue`. The computation, in binary looks like:

```
  0111111111111111111111111111111111111111111111111111111111111111
- 0000000000000000000000000000000000000000000000000000000000000000
------------------------------------------------------------------
  0111111111111111111111111111111111111111111111111111111111111111
/ 0000000000000000000000000000000000000000000000000000000000000001
------------------------------------------------------------------
  0111111111111111111111111111111111111111111111111111111111111111
+ 0000000000000000000000000000000000000000000000000000000000000001
------------------------------------------------------------------
  1000000000000000000000000000000000000000000000000000000000000000
```

The following [check](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3454) passes as the negative `Long.MinValue` is still `<= MAX_ROUNDED_ARRAY_LENGTH`. The following cast to `toInt` uses this representation and [truncates the upper bits](https://github.com/apache/spark/blob/16411188c7ba6cb19c46a2bd512b2485a4c03e2c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L3457) resulting in an empty length of `0`.

Other overflows are similarly problematic.

This PR addresses the issue by checking numeric operations in the length computation for overflow.

### Why are the changes needed?
There is a correctness bug from overflow in the `sequence` expression.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Tests added in `CollectionExpressionsSuite.scala`.

Closes #43820 from thepinetree/spark-sequence-overflow-3.5.

Authored-by: Deepayan Patra <deepayan.patra@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/collectionOperations.scala    | 47 +++++++++++++------
 .../CollectionExpressionsSuite.scala          | 44 +++++++++++++++--
 2 files changed, 71 insertions(+), 20 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index ade4a6c5be722..3ddbe38fdedfb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -22,6 +22,7 @@ import java.util.Comparator
 import scala.collection.mutable
 import scala.reflect.ClassTag
 
+import org.apache.spark.SparkException.internalError
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, TypeCoercion, UnresolvedAttribute, UnresolvedSeed}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
@@ -40,7 +41,6 @@ import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.SQLOpenHashSet
 import org.apache.spark.unsafe.UTF8StringBuilder
 import org.apache.spark.unsafe.array.ByteArrayMethods
-import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
 import org.apache.spark.unsafe.types.{ByteArray, CalendarInterval, UTF8String}
 
 /**
@@ -3080,6 +3080,34 @@ case class Sequence(
 }
 
 object Sequence {
+  private def prettyName: String = "sequence"
+
+  def sequenceLength(start: Long, stop: Long, step: Long): Int = {
+    try {
+      val delta = Math.subtractExact(stop, start)
+      if (delta == Long.MinValue && step == -1L) {
+        // We must special-case division of Long.MinValue by -1 to catch potential unchecked
+        // overflow in next operation. Division does not have a builtin overflow check. We
+        // previously special-case div-by-zero.
+        throw new ArithmeticException("Long overflow (Long.MinValue / -1)")
+      }
+      val len = if (stop == start) 1L else Math.addExact(1L, (delta / step))
+      if (len > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+        throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(len)
+      }
+      len.toInt
+    } catch {
+      // We handle overflows in the previous try block by raising an appropriate exception.
+      case _: ArithmeticException =>
+        val safeLen =
+          BigInt(1) + (BigInt(stop) - BigInt(start)) / BigInt(step)
+        if (safeLen > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+          throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(safeLen)
+        }
+        throw internalError("Unreachable code reached.")
+      case e: Exception => throw e
+    }
+  }
 
   private type LessThanOrEqualFn = (Any, Any) => Boolean
 
@@ -3451,13 +3479,7 @@ object Sequence {
         || (estimatedStep == num.zero && start == stop),
       s"Illegal sequence boundaries: $start to $stop by $step")
 
-    val len = if (start == stop) 1L else 1L + (stop.toLong - start.toLong) / estimatedStep.toLong
-
-    require(
-      len <= MAX_ROUNDED_ARRAY_LENGTH,
-      s"Too long sequence: $len. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
-
-    len.toInt
+    sequenceLength(start.toLong, stop.toLong, estimatedStep.toLong)
   }
 
   private def genSequenceLengthCode(
@@ -3467,7 +3489,7 @@ object Sequence {
       step: String,
       estimatedStep: String,
       len: String): String = {
-    val longLen = ctx.freshName("longLen")
+    val calcFn = classOf[Sequence].getName + ".sequenceLength"
     s"""
        |if (!(($estimatedStep > 0 && $start <= $stop) ||
        |  ($estimatedStep < 0 && $start >= $stop) ||
@@ -3475,12 +3497,7 @@ object Sequence {
        |  throw new IllegalArgumentException(
        |    "Illegal sequence boundaries: " + $start + " to " + $stop + " by " + $step);
        |}
-       |long $longLen = $stop == $start ? 1L : 1L + ((long) $stop - $start) / $estimatedStep;
-       |if ($longLen > $MAX_ROUNDED_ARRAY_LENGTH) {
-       |  throw new IllegalArgumentException(
-       |    "Too long sequence: " + $longLen + ". Should be <= $MAX_ROUNDED_ARRAY_LENGTH");
-       |}
-       |int $len = (int) $longLen;
+       |int $len = $calcFn((long) $start, (long) $stop, (long) $estimatedStep);
        """.stripMargin
   }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
index 1787f6ac72dd4..99eece31a1efc 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CollectionExpressionsSuite.scala
@@ -34,7 +34,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeTestUtils.{outstandingZoneIds,
 import org.apache.spark.sql.catalyst.util.IntervalUtils._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH
+import org.apache.spark.unsafe.array.ByteArrayMethods
 import org.apache.spark.unsafe.types.UTF8String
 
 class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
@@ -769,10 +769,6 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
 
     // test sequence boundaries checking
 
-    checkExceptionInExpression[IllegalArgumentException](
-      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
-      EmptyRow, s"Too long sequence: 4294967296. Should be <= $MAX_ROUNDED_ARRAY_LENGTH")
-
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(0)), EmptyRow, "boundaries: 1 to 2 by 0")
     checkExceptionInExpression[IllegalArgumentException](
@@ -782,6 +778,44 @@ class CollectionExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper
     checkExceptionInExpression[IllegalArgumentException](
       new Sequence(Literal(1), Literal(2), Literal(-1)), EmptyRow, "boundaries: 1 to 2 by -1")
 
+    // SPARK-43393: test Sequence overflow checking
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Int.MinValue), Literal(Int.MaxValue), Literal(1)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> (BigInt(Int.MaxValue) - BigInt { Int.MinValue } + 1).toString,
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(0L), Literal(Long.MaxValue), Literal(1L)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> (BigInt(Long.MaxValue) + 1).toString,
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(0L), Literal(Long.MinValue), Literal(-1L)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> ((0 - BigInt(Long.MinValue)) + 1).toString(),
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MinValue), Literal(Long.MaxValue), Literal(1L)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MaxValue), Literal(Long.MinValue), Literal(-1L)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> (BigInt(Long.MaxValue) - BigInt { Long.MinValue } + 1).toString,
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+    checkErrorInExpression[SparkRuntimeException](
+      new Sequence(Literal(Long.MaxValue), Literal(-1L), Literal(-1L)),
+      errorClass = "_LEGACY_ERROR_TEMP_2161",
+      parameters = Map(
+        "count" -> (BigInt(Long.MaxValue) - BigInt { -1L } + 1).toString,
+        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+
     // test sequence with one element (zero step or equal start and stop)
 
     checkEvaluation(new Sequence(Literal(1), Literal(1), Literal(-1)), Seq(1))

From 96bfd8370c27baf5283646f2f93cb66ab70de844 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 20 Nov 2023 17:50:04 -0800
Subject: [PATCH 488/986] [SPARK-46012][CORE] EventLogFileReader should not
 read rolling logs if app status file is missing

### What changes were proposed in this pull request?

This PR aims to prevent `EventLogFileReader` from reading rolling event logs if `appStatus` is missing.

### Why are the changes needed?

Since Apache Spark 3.0.0, `appstatus_` is supposed to exist.

https://github.com/apache/spark/blob/839f0c98bd85a14eadad13f8aaac876275ded5a4/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileWriters.scala#L277-L283
### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43914 from dongjoon-hyun/SPARK-46012.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6ca1c67de082269b9337503bff5161f5a2d87225)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../deploy/history/EventLogFileReaders.scala  |  3 +-
 .../history/EventLogFileReadersSuite.scala    | 31 +++++++++++++++++++
 2 files changed, 33 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala b/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
index b21c67a2823af..714987a8eb873 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
@@ -119,7 +119,8 @@ object EventLogFileReader extends Logging {
     if (isSingleEventLog(status)) {
       Some(new SingleFileEventLogFileReader(fs, status.getPath, Option(status)))
     } else if (isRollingEventLogs(status)) {
-      if (fs.listStatus(status.getPath).exists(RollingEventLogFilesWriter.isEventLogFile)) {
+      if (fs.listStatus(status.getPath).exists(RollingEventLogFilesWriter.isEventLogFile) &&
+          fs.listStatus(status.getPath).exists(RollingEventLogFilesWriter.isAppStatusFile)) {
         Some(new RollingEventLogFilesFileReader(fs, status.getPath))
       } else {
         logDebug(s"Rolling event log directory have no event log file at ${status.getPath}")
diff --git a/core/src/test/scala/org/apache/spark/deploy/history/EventLogFileReadersSuite.scala b/core/src/test/scala/org/apache/spark/deploy/history/EventLogFileReadersSuite.scala
index efb8393403043..f34f792881f90 100644
--- a/core/src/test/scala/org/apache/spark/deploy/history/EventLogFileReadersSuite.scala
+++ b/core/src/test/scala/org/apache/spark/deploy/history/EventLogFileReadersSuite.scala
@@ -229,6 +229,37 @@ class SingleFileEventLogFileReaderSuite extends EventLogFileReadersSuite {
 }
 
 class RollingEventLogFilesReaderSuite extends EventLogFileReadersSuite {
+  test("SPARK-46012: appStatus file should exist") {
+    withTempDir { dir =>
+      val appId = getUniqueApplicationId
+      val attemptId = None
+
+      val conf = getLoggingConf(testDirPath)
+      conf.set(EVENT_LOG_ENABLE_ROLLING, true)
+      conf.set(EVENT_LOG_ROLLING_MAX_FILE_SIZE.key, "10m")
+
+      val writer = createWriter(appId, attemptId, testDirPath.toUri, conf,
+        SparkHadoopUtil.get.newConfiguration(conf))
+
+      writer.start()
+      val dummyStr = "dummy" * 1024
+      writeTestEvents(writer, dummyStr, 1024 * 1024 * 20)
+      writer.stop()
+
+      // Verify a healthy rolling event log directory
+      val logPathCompleted = getCurrentLogPath(writer.logPath, isCompleted = true)
+      val readerOpt = EventLogFileReader(fileSystem, new Path(logPathCompleted))
+      assert(readerOpt.get.isInstanceOf[RollingEventLogFilesFileReader])
+      assert(readerOpt.get.listEventLogFiles.length === 3)
+
+      // Make unhealthy rolling event directory by removing appStatus file.
+      val appStatusFile = fileSystem.listStatus(new Path(logPathCompleted))
+        .find(RollingEventLogFilesWriter.isAppStatusFile).get.getPath
+      fileSystem.delete(appStatusFile, false)
+      assert(EventLogFileReader(fileSystem, new Path(logPathCompleted)).isEmpty)
+    }
+  }
+
   allCodecs.foreach { codecShortName =>
     test(s"rolling event log files - codec $codecShortName") {
       val appId = getUniqueApplicationId

From 24079adc8257871e88879796333b8f44633995b8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 20 Nov 2023 17:54:41 -0800
Subject: [PATCH 489/986] [SPARK-46014][SQL][TESTS] Run
 `RocksDBStateStoreStreamingAggregationSuite` on a dedicated JVM

### What changes were proposed in this pull request?

This PR aims to run `RocksDBStateStoreStreamingAggregationSuite` on a dedicated JVM to reduce the flakiness.

### Why are the changes needed?

`RocksDBStateStoreStreamingAggregationSuite` is flaky.
- https://github.com/apache/spark/actions/runs/6936862847/job/18869845206
- https://github.com/apache/spark/actions/runs/6926542106/job/18838877151
- https://github.com/apache/spark/actions/runs/6924927427/job/18834849433

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43916 from dongjoon-hyun/SPARK-46014.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 9bb1fe2a8410e6a0dbf73a420d8e9b359363b932)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 project/SparkBuild.scala | 1 +
 1 file changed, 1 insertion(+)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 60d52368de458..75a0650b5fac2 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -580,6 +580,7 @@ object SparkParallelTestGrouping {
     "org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite",
     "org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite",
     "org.apache.spark.sql.kafka010.KafkaDelegationTokenSuite",
+    "org.apache.spark.sql.streaming.RocksDBStateStoreStreamingAggregationSuite",
     "org.apache.spark.shuffle.KubernetesLocalDiskShuffleDataIOSuite",
     "org.apache.spark.sql.hive.HiveScalaReflectionSuite"
   )

From a436736c02a689e4536acea16af6caea7be67fa7 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 21 Nov 2023 14:38:24 +0900
Subject: [PATCH 490/986] [MINOR][DOCS] Correct Python Spark Connect
 documentation about pip installation

### What changes were proposed in this pull request?

This PR fixes the Spark Connect documentation from `pyspark==3.5.0` to `pyspark[connect]==3.5.0`; otherwise it will fail to execute the example as is because of missing dependencies. This is sort of a followup of SPARK-44867.

https://github.com/apache/spark/blob/d31c8596cd714766892d1395e30358bd1cd3cb84/python/setup.py#L325-L332

### Why are the changes needed?

To guide users about using Spark Connect

### Does this PR introduce _any_ user-facing change?

Yes, this fixes the user-facing documentation for Python Spark Connect.

### How was this patch tested?

Manually checked with Markdown editor.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43919 from HyukjinKwon/SPARK-44867-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit df1280cb10ee71ea362a95705f355402e2bcaff2)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/spark-connect-overview.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/spark-connect-overview.md b/docs/spark-connect-overview.md
index 0673763f03bcc..9da559c37fdef 100644
--- a/docs/spark-connect-overview.md
+++ b/docs/spark-connect-overview.md
@@ -279,11 +279,11 @@ The connection may also be programmatically created using _SparkSession#builder_
 
 <div data-lang="python"  markdown="1">
 
-First, install PySpark with `pip install pyspark==3.5.0` or if building a packaged PySpark application/library,
+First, install PySpark with `pip install pyspark[connect]==3.5.0` or if building a packaged PySpark application/library,
 add it your setup.py file as:
 {% highlight python %}
 install_requires=[
-'pyspark==3.5.0'
+'pyspark[connect]==3.5.0'
 ]
 {% endhighlight %}
 

From ece4ebe575798bf92d8e6c2c454c62e6cbfecf01 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Tue, 21 Nov 2023 10:17:30 -0800
Subject: [PATCH 491/986] [SPARK-46033][SQL][TESTS] Fix flaky
 ArithmeticExpressionSuite

### What changes were proposed in this pull request?
The pr aims to fix flaky ArithmeticExpressionSuite.
https://github.com/panbingkun/spark/actions/runs/6940660146/job/18879997046
<img width="1000" alt="image" src="https://github.com/apache/spark/assets/15246973/9fe6050a-7a06-4110-9152-d4512a49b284">

### Why are the changes needed?
Fix bug.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Manually test.
- Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43935 from panbingkun/SPARK-46033.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit b7930e718f453f8a9d923ad57161a982f16ca8e8)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/expressions/ArithmeticExpressionSuite.scala   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
index 2dc7e82f77226..7a80188d445de 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ArithmeticExpressionSuite.scala
@@ -326,7 +326,8 @@ class ArithmeticExpressionSuite extends SparkFunSuite with ExpressionEvalHelper
           val quotResult = Decimal(quotExact.setScale(quotType.scale, RoundingMode.HALF_UP))
           val quotExpected =
             if (quotResult.precision > DecimalType.MAX_PRECISION) null else quotResult
-          checkEvaluationOrException(quotActual, quotExpected.toLong)
+          checkEvaluationOrException(quotActual,
+            if (quotExpected == null) null else quotExpected.toLong)
         }
       }
 

From fcf55737490a5d6a1b491b4be4c9924492b8e740 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Tue, 21 Nov 2023 10:26:36 -0800
Subject: [PATCH 492/986] [SPARK-46019][SQL][TESTS] Fix
 `HiveThriftServer2ListenerSuite` and `ThriftServerPageSuite` to create
 `java.io.tmpdir` if it doesn't exist

### What changes were proposed in this pull request?
The pr aims to fix `HiveThriftServer2ListenerSuite` and `ThriftServerPageSuite` failed when there are running on local.
```
[info] ThriftServerPageSuite:
[info] - thriftserver page should load successfully *** FAILED *** (515 milliseconds)
[info]   java.lang.IllegalStateException: Could not initialize plugin: interface org.mockito.plugins.MockMaker (alternate: null)
[info]   at org.mockito.internal.configuration.plugins.PluginLoader$1.invoke(PluginLoader.java:84)
[info]   at jdk.proxy2/jdk.proxy2.$Proxy20.isTypeMockable(Unknown Source)
[info]   at org.mockito.internal.util.MockUtil.typeMockabilityOf(MockUtil.java:78)
[info]   at org.mockito.internal.util.MockCreationValidator.validateType(MockCreationValidator.java:22)
[info]   at org.mockito.internal.creation.MockSettingsImpl.validatedSettings(MockSettingsImpl.java:267)
[info]   at org.mockito.internal.creation.MockSettingsImpl.build(MockSettingsImpl.java:234)
[info]   at org.mockito.internal.MockitoCore.mock(MockitoCore.java:86)
[info]   at org.mockito.Mockito.mock(Mockito.java:2037)
[info]   at org.mockito.Mockito.mock(Mockito.java:2010)
[info]   at org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite.getStatusStore(ThriftServerPageSuite.scala:49)
```

It can be simply reproduced by running the following command:
```
build/sbt "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite" -Phive-thriftserver
build/sbt "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite" -Phive-thriftserver
```

### Why are the changes needed?
Fix tests failed.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually test:
```
build/sbt "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite" -Phive-thriftserver
build/sbt "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite" -Phive-thriftserver
```

After it:
```
[info] - listener events should store successfully (live = true) (1 second, 711 milliseconds)
[info] - listener events should store successfully (live = false) (6 milliseconds)
[info] - cleanup session if exceeds the threshold (live = true) (21 milliseconds)
[info] - cleanup session if exceeds the threshold (live = false) (3 milliseconds)
[info] - update execution info when jobstart event come after execution end event (9 milliseconds)
[info] - SPARK-31387 - listener update methods should not throw exception with unknown input (8 milliseconds)
[info] Run completed in 3 seconds, 734 milliseconds.
[info] Total number of tests run: 6
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 6, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
[success] Total time: 156 s (02:36), completed Nov 21, 2023, 1:57:21 PM
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #43921 from panbingkun/SPARK-46019.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit fdcd20f4b51c3ddddaae12f7d3f429e7b77c9f5e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../ui/HiveThriftServer2ListenerSuite.scala            | 10 ++++++++++
 .../hive/thriftserver/ui/ThriftServerPageSuite.scala   | 10 ++++++++++
 2 files changed, 20 insertions(+)

diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/HiveThriftServer2ListenerSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/HiveThriftServer2ListenerSuite.scala
index f5167a4ea7377..62d97772bcbc1 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/HiveThriftServer2ListenerSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/HiveThriftServer2ListenerSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.hive.thriftserver.ui
 
+import java.io.File
 import java.util.Properties
 
 import org.mockito.Mockito.{mock, RETURNS_SMART_NULLS}
@@ -34,6 +35,15 @@ class HiveThriftServer2ListenerSuite extends SparkFunSuite with BeforeAndAfter {
 
   private var kvstore: ElementTrackingStore = _
 
+  protected override def beforeAll(): Unit = {
+    val tmpDirName = System.getProperty("java.io.tmpdir")
+    val tmpDir = new File(tmpDirName)
+    if (!tmpDir.exists()) {
+      tmpDir.mkdirs()
+    }
+    super.beforeAll()
+  }
+
   after {
     if (kvstore != null) {
       kvstore.close()
diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPageSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPageSuite.scala
index d7e1852199639..1245e6740ebbe 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPageSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/ui/ThriftServerPageSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.hive.thriftserver.ui
 
+import java.io.File
 import java.util.{Calendar, Locale}
 import javax.servlet.http.HttpServletRequest
 
@@ -34,6 +35,15 @@ class ThriftServerPageSuite extends SparkFunSuite with BeforeAndAfter {
 
   private var kvstore: ElementTrackingStore = _
 
+  protected override def beforeAll(): Unit = {
+    val tmpDirName = System.getProperty("java.io.tmpdir")
+    val tmpDir = new File(tmpDirName)
+    if (!tmpDir.exists()) {
+      tmpDir.mkdirs()
+    }
+    super.beforeAll()
+  }
+
   after {
     if (kvstore != null) {
       kvstore.close()

From 8f52fd55d42045d4aadb2cb18c7c3f99ad75eb35 Mon Sep 17 00:00:00 2001
From: Mark Jarvin <mark.jarvin@databricks.com>
Date: Tue, 21 Nov 2023 11:38:31 -0800
Subject: [PATCH 493/986] [SPARK-44973][SQL] Fix
 `ArrayIndexOutOfBoundsException` in `conv()`

### What changes were proposed in this pull request?

Increase the size of the buffer allocated for the result of base conversion in `NumberConverter` to prevent ArrayIndexOutOfBoundsException when evaluating `conv(s"${Long.MinValue}", 10, -2)`.

### Why are the changes needed?

I don't think the ArrayIndexOutOfBoundsException is intended behaviour.

### Does this PR introduce _any_ user-facing change?

Users will no longer experience an ArrayIndexOutOfBoundsException for this specific set of arguments and will instead receive the expected base conversion.

### How was this patch tested?

New unit test cases

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43880 from markj-db/SPARK-44973.

Authored-by: Mark Jarvin <mark.jarvin@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 2ac8ff76a5169fe1f6cf130cc82738ba78bd8c65)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/catalyst/util/NumberConverter.scala     |  9 ++++++++-
 .../sql/catalyst/util/NumberConverterSuite.scala      |  6 ++++++
 .../org/apache/spark/sql/MathFunctionsSuite.scala     | 11 +++++++++++
 3 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/NumberConverter.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/NumberConverter.scala
index 59765cde1f926..06d3910311b1c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/NumberConverter.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/NumberConverter.scala
@@ -23,6 +23,13 @@ import org.apache.spark.unsafe.types.UTF8String
 
 object NumberConverter {
 
+  /**
+   * The output string has a max length of one char per bit in the 64-bit `Long` intermediate
+   * representation plus one char for the '-' sign.  This happens in practice when converting
+   * `Long.MinValue` with `toBase` equal to -2.
+   */
+  private final val MAX_OUTPUT_LENGTH = java.lang.Long.SIZE + 1
+
   /**
    * Decode v into value[].
    *
@@ -148,7 +155,7 @@ object NumberConverter {
     var (negative, first) = if (n(0) == '-') (true, 1) else (false, 0)
 
     // Copy the digits in the right side of the array
-    val temp = new Array[Byte](Math.max(n.length, 64))
+    val temp = new Array[Byte](Math.max(n.length, MAX_OUTPUT_LENGTH))
     var v: Long = -1
 
     System.arraycopy(n, first, temp, temp.length - n.length + first, n.length - first)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/NumberConverterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/NumberConverterSuite.scala
index c634c5b739b8f..3de331f90a6d3 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/NumberConverterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/NumberConverterSuite.scala
@@ -55,6 +55,12 @@ class NumberConverterSuite extends SparkFunSuite {
     checkConv("-10", 11, 7, "45012021522523134134555")
   }
 
+  test("SPARK-44973: conv must allocate enough space for all digits plus negative sign") {
+    checkConv(s"${Long.MinValue}", 10, -2, BigInt(Long.MinValue).toString(2))
+    checkConv((BigInt(Long.MaxValue) + 1).toString(16), 16, -2, BigInt(Long.MinValue).toString(2))
+    checkConv(BigInt(Long.MinValue).toString(16), 16, -2, BigInt(Long.MinValue).toString(2))
+  }
+
   test("byte to binary") {
     checkToBinary(0.toByte)
     checkToBinary(1.toByte)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/MathFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/MathFunctionsSuite.scala
index 0adb89c3a9eaf..ba04e3b691a1b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/MathFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/MathFunctionsSuite.scala
@@ -262,6 +262,17 @@ class MathFunctionsSuite extends QueryTest with SharedSparkSession {
     }
   }
 
+  test("SPARK-44973: conv must allocate enough space for all digits plus negative sign") {
+    withSQLConf(SQLConf.ANSI_ENABLED.key -> false.toString) {
+      val df = Seq(
+        ((BigInt(Long.MaxValue) + 1).toString(16)),
+        (BigInt(Long.MinValue).toString(16))
+      ).toDF("num")
+      checkAnswer(df.select(conv($"num", 16, -2)),
+        Seq(Row(BigInt(Long.MinValue).toString(2)), Row(BigInt(Long.MinValue).toString(2))))
+    }
+  }
+
   test("floor") {
     testOneToOneMathFunction(floor, (d: Double) => math.floor(d).toLong)
     // testOneToOneMathFunction does not validate the resulting data type

From 20657549acff80769af889eb3f0599df06956d3c Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 21 Nov 2023 17:51:10 -0800
Subject: [PATCH 494/986] [SPARK-46012][CORE][FOLLOWUP] Invoke `fs.listStatus`
 once and reuse the result

### What changes were proposed in this pull request?

This PR is a follow-up of #43914 and aims to invoke `fs.listStatus` once and reuse the result.

### Why are the changes needed?

This will prevent the increase of the number of `listStatus` invocation .

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs with the existing test case.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43944 from dongjoon-hyun/SPARK-46012-2.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6be4a0358265fb81f68a27589f9940bd726c8ee7)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/deploy/history/EventLogFileReaders.scala    | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala b/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
index 714987a8eb873..8c3dda4727784 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/EventLogFileReaders.scala
@@ -119,8 +119,9 @@ object EventLogFileReader extends Logging {
     if (isSingleEventLog(status)) {
       Some(new SingleFileEventLogFileReader(fs, status.getPath, Option(status)))
     } else if (isRollingEventLogs(status)) {
-      if (fs.listStatus(status.getPath).exists(RollingEventLogFilesWriter.isEventLogFile) &&
-          fs.listStatus(status.getPath).exists(RollingEventLogFilesWriter.isAppStatusFile)) {
+      val files = fs.listStatus(status.getPath)
+      if (files.exists(RollingEventLogFilesWriter.isEventLogFile) &&
+          files.exists(RollingEventLogFilesWriter.isAppStatusFile)) {
         Some(new RollingEventLogFilesFileReader(fs, status.getPath))
       } else {
         logDebug(s"Rolling event log directory have no event log file at ${status.getPath}")

From 1f81e26e03803238ee6292762bcbee49e1a7c066 Mon Sep 17 00:00:00 2001
From: Angerszhuuuu <angers.zhu@gmail.com>
Date: Wed, 22 Nov 2023 16:50:21 +0800
Subject: [PATCH 495/986] [SPARK-46006][YARN] YarnAllocator miss clean
 targetNumExecutorsPerResourceProfileId after YarnSchedulerBackend call stop
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
We meet a case that user call sc.stop() after run all custom code, but stuck in some place.

Cause below situation

1. User call sc.stop()
2. sc.stop() stuck in some process, but SchedulerBackend.stop was called
3. Since yarn ApplicationMaster didn't finish， still call YarnAllocator.allocateResources()
4. Since driver endpoint stop new allocated executor failed to register
5. untll trigger Max number of executor failures
6. Caused by

Before call CoarseGrainedSchedulerBackend.stop() will call YarnSchedulerBackend.requestTotalExecutor() to clean request info
![image](https://github.com/apache/spark/assets/46485123/4a61fb40-5986-4ecc-9329-369187d5311d)

When YarnAllocator handle then empty resource request,  since resourceTotalExecutorsWithPreferedLocalities is empty, miss clean targetNumExecutorsPerResourceProfileId.
![image](https://github.com/apache/spark/assets/46485123/0133f606-e1d7-4db7-95fe-140c61379102)

### Why are the changes needed?
Fix bug

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #43906 from AngersZhuuuu/SPARK-46006.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 06635e25f170e61f6cfe53232d001993ec7d376d)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/deploy/yarn/YarnAllocator.scala     | 28 +++++++++++--------
 1 file changed, 17 insertions(+), 11 deletions(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
index 19c06f957318b..f14fc9d5de461 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
@@ -384,19 +384,25 @@ private[yarn] class YarnAllocator(
     this.numLocalityAwareTasksPerResourceProfileId = numLocalityAwareTasksPerResourceProfileId
     this.hostToLocalTaskCountPerResourceProfileId = hostToLocalTaskCountPerResourceProfileId
 
-    val res = resourceProfileToTotalExecs.map { case (rp, numExecs) =>
-      createYarnResourceForResourceProfile(rp)
-      if (numExecs != getOrUpdateTargetNumExecutorsForRPId(rp.id)) {
-        logInfo(s"Driver requested a total number of $numExecs executor(s) " +
-          s"for resource profile id: ${rp.id}.")
-        targetNumExecutorsPerResourceProfileId(rp.id) = numExecs
-        allocatorNodeHealthTracker.setSchedulerExcludedNodes(excludedNodes)
-        true
-      } else {
-        false
+    if (resourceProfileToTotalExecs.isEmpty) {
+      targetNumExecutorsPerResourceProfileId.clear()
+      allocatorNodeHealthTracker.setSchedulerExcludedNodes(excludedNodes)
+      true
+    } else {
+      val res = resourceProfileToTotalExecs.map { case (rp, numExecs) =>
+        createYarnResourceForResourceProfile(rp)
+        if (numExecs != getOrUpdateTargetNumExecutorsForRPId(rp.id)) {
+          logInfo(s"Driver requested a total number of $numExecs executor(s) " +
+            s"for resource profile id: ${rp.id}.")
+          targetNumExecutorsPerResourceProfileId(rp.id) = numExecs
+          allocatorNodeHealthTracker.setSchedulerExcludedNodes(excludedNodes)
+          true
+        } else {
+          false
+        }
       }
+      res.exists(_ == true)
     }
-    res.exists(_ == true)
   }
 
   /**

From 18bcd020118a8efb49c03546ec501be6f0fc0852 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 21 Nov 2023 16:07:50 +0900
Subject: [PATCH 496/986] [MINOR][BUILD] Rename gprcVersion to grpcVersion in
 SparkBuild

### What changes were proposed in this pull request?

This PR aims to fix a typo.
```
-  val gprcVersion = "1.56.0"
+  val grpcVersion = "1.56.0"
```

There are two occurrences.
```
$ git grep gprc
project/SparkBuild.scala:  val gprcVersion = "1.56.0"
project/SparkBuild.scala:        "io.grpc" % "protoc-gen-grpc-java" % BuildCommons.gprcVersion asProtocPlugin(),
```

### Why are the changes needed?

To fix a typo.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43923 from dongjoon-hyun/minor_grpc.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 project/SparkBuild.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 75a0650b5fac2..79b58deafde57 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -91,7 +91,7 @@ object BuildCommons {
   // SPARK-41247: needs to be consistent with `protobuf.version` in `pom.xml`.
   val protoVersion = "3.23.4"
   // GRPC version used for Spark Connect.
-  val gprcVersion = "1.56.0"
+  val grpcVersion = "1.56.0"
 }
 
 object SparkBuild extends PomBuild {
@@ -694,7 +694,7 @@ object SparkConnectCommon {
         SbtPomKeys.effectivePom.value.getProperties.get(
           "guava.failureaccess.version").asInstanceOf[String]
       Seq(
-        "io.grpc" % "protoc-gen-grpc-java" % BuildCommons.gprcVersion asProtocPlugin(),
+        "io.grpc" % "protoc-gen-grpc-java" % BuildCommons.grpcVersion asProtocPlugin(),
         "com.google.guava" % "guava" % guavaVersion,
         "com.google.guava" % "failureaccess" % guavaFailureaccessVersion,
         "com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf"

From c3671942abbd5d96d7d2c7496a882be91533838b Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Thu, 23 Nov 2023 20:11:43 +0900
Subject: [PATCH 497/986] [SPARK-46064][SQL][SS] Move out
 EliminateEventTimeWatermark to the analyzer and change to only take effect on
 resolved child

This PR proposes to move out EliminateEventTimeWatermark to the analyzer (one of the analysis rule), and also make a change to eliminate EventTimeWatermark node only when the child of EventTimeWatermark is "resolved".

Currently, we apply EliminateEventTimeWatermark immediately when withWatermark is called, which means the rule is applied immediately against the child, regardless whether child is resolved or not.

It is not an issue for the usage of DataFrame API initiated by read / readStream, because streaming sources have the flag isStreaming set to true even it is yet resolved. But mix-up of SQL and DataFrame API would expose the issue; we may not know the exact value of isStreaming flag on unresolved node and it is subject to change upon resolution.

No.

New UTs.

No.

Closes #43971 from HeartSaVioR/SPARK-46064.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit a703dace0aa400fa24b2bded1500f44ae7ac8db0)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      |  6 +++--
 .../sql/catalyst/analysis/AnalysisSuite.scala | 23 +++++++++++++++++++
 .../sql/catalyst/analysis/AnalysisTest.scala  |  2 ++
 .../sql/catalyst/analysis/TestRelations.scala | 14 +++++++++++
 .../optimizer/FilterPushdownSuite.scala       |  8 +++----
 .../scala/org/apache/spark/sql/Dataset.scala  |  3 +--
 6 files changed, 48 insertions(+), 8 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 02b9c2445433b..8fe87a05d02d3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -348,7 +348,9 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
     Batch("Cleanup", fixedPoint,
       CleanupAliases),
     Batch("HandleSpecialCommand", Once,
-      HandleSpecialCommand)
+      HandleSpecialCommand),
+    Batch("Remove watermark for batch query", Once,
+      EliminateEventTimeWatermark)
   )
 
   /**
@@ -3844,7 +3846,7 @@ object CleanupAliases extends Rule[LogicalPlan] with AliasHelper {
 object EliminateEventTimeWatermark extends Rule[LogicalPlan] {
   override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
     _.containsPattern(EVENT_TIME_WATERMARK)) {
-    case EventTimeWatermark(_, _, child) if !child.isStreaming => child
+    case EventTimeWatermark(_, _, child) if child.resolved && !child.isStreaming => child
   }
 }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 802b6d471a65c..843d51034aa2b 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1668,4 +1668,27 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       checkAnalysis(ident2.select($"a"), testRelation.select($"a").analyze)
     }
   }
+
+  test("SPARK-46064 Basic functionality of elimination for watermark node in batch query") {
+    val dfWithEventTimeWatermark = EventTimeWatermark($"ts",
+      IntervalUtils.fromIntervalString("10 seconds"), batchRelationWithTs)
+
+    val analyzed = getAnalyzer.executeAndCheck(dfWithEventTimeWatermark, new QueryPlanningTracker)
+
+    // EventTimeWatermark node is eliminated via EliminateEventTimeWatermark.
+    assert(!analyzed.exists(_.isInstanceOf[EventTimeWatermark]))
+  }
+
+  test("SPARK-46064 EliminateEventTimeWatermark properly handles the case where the child of " +
+    "EventTimeWatermark changes the isStreaming flag during resolution") {
+    // UnresolvedRelation which is batch initially and will be resolved as streaming
+    val dfWithTempView = UnresolvedRelation(TableIdentifier("streamingTable"))
+    val dfWithEventTimeWatermark = EventTimeWatermark($"ts",
+      IntervalUtils.fromIntervalString("10 seconds"), dfWithTempView)
+
+    val analyzed = getAnalyzer.executeAndCheck(dfWithEventTimeWatermark, new QueryPlanningTracker)
+
+    // EventTimeWatermark node is NOT eliminated.
+    assert(analyzed.exists(_.isInstanceOf[EventTimeWatermark]))
+  }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisTest.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisTest.scala
index 997308c6ef44f..5152666473286 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisTest.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisTest.scala
@@ -84,6 +84,8 @@ trait AnalysisTest extends PlanTest {
     createTempView(catalog, "TaBlE3", TestRelations.testRelation3, overrideIfExists = true)
     createGlobalTempView(catalog, "TaBlE4", TestRelations.testRelation4, overrideIfExists = true)
     createGlobalTempView(catalog, "TaBlE5", TestRelations.testRelation5, overrideIfExists = true)
+    createTempView(catalog, "streamingTable", TestRelations.streamingRelation,
+      overrideIfExists = true)
     new Analyzer(catalog) {
       override val extendedResolutionRules = extendedAnalysisRules
     }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/TestRelations.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/TestRelations.scala
index d54237fcc1407..01b1a627e2871 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/TestRelations.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/TestRelations.scala
@@ -68,4 +68,18 @@ object TestRelations {
 
   val mapRelation = LocalRelation(
     AttributeReference("map", MapType(IntegerType, IntegerType))())
+
+  val streamingRelation = LocalRelation(
+    Seq(
+      AttributeReference("a", IntegerType)(),
+      AttributeReference("ts", TimestampType)()
+    ),
+    isStreaming = true)
+
+  val batchRelationWithTs = LocalRelation(
+    Seq(
+      AttributeReference("a", IntegerType)(),
+      AttributeReference("ts", TimestampType)()
+    ),
+    isStreaming = false)
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/FilterPushdownSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/FilterPushdownSuite.scala
index ee56d1fa9acd3..2ebb43d4fba3e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/FilterPushdownSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/FilterPushdownSuite.scala
@@ -1190,7 +1190,7 @@ class FilterPushdownSuite extends PlanTest {
 
   test("watermark pushdown: no pushdown on watermark attribute #1") {
     val interval = new CalendarInterval(2, 2, 2000L)
-    val relation = LocalRelation(attrA, $"b".timestamp, attrC)
+    val relation = LocalRelation(Seq(attrA, $"b".timestamp, attrC), Nil, isStreaming = true)
 
     // Verify that all conditions except the watermark touching condition are pushed down
     // by the optimizer and others are not.
@@ -1205,7 +1205,7 @@ class FilterPushdownSuite extends PlanTest {
 
   test("watermark pushdown: no pushdown for nondeterministic filter") {
     val interval = new CalendarInterval(2, 2, 2000L)
-    val relation = LocalRelation(attrA, attrB, $"c".timestamp)
+    val relation = LocalRelation(Seq(attrA, attrB, $"c".timestamp), Nil, isStreaming = true)
 
     // Verify that all conditions except the watermark touching condition are pushed down
     // by the optimizer and others are not.
@@ -1221,7 +1221,7 @@ class FilterPushdownSuite extends PlanTest {
 
   test("watermark pushdown: full pushdown") {
     val interval = new CalendarInterval(2, 2, 2000L)
-    val relation = LocalRelation(attrA, attrB, $"c".timestamp)
+    val relation = LocalRelation(Seq(attrA, attrB, $"c".timestamp), Nil, isStreaming = true)
 
     // Verify that all conditions except the watermark touching condition are pushed down
     // by the optimizer and others are not.
@@ -1236,7 +1236,7 @@ class FilterPushdownSuite extends PlanTest {
 
   test("watermark pushdown: no pushdown on watermark attribute #2") {
     val interval = new CalendarInterval(2, 2, 2000L)
-    val relation = LocalRelation($"a".timestamp, attrB, attrC)
+    val relation = LocalRelation(Seq($"a".timestamp, attrB, attrC), Nil, isStreaming = true)
 
     val originalQuery = EventTimeWatermark($"a", interval, relation)
       .where($"a" === new java.sql.Timestamp(0) && $"b" === 10)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index f53c6ddaa3880..c063af9381ff2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -774,8 +774,7 @@ class Dataset[T] private[sql](
     val parsedDelay = IntervalUtils.fromIntervalString(delayThreshold)
     require(!IntervalUtils.isNegative(parsedDelay),
       s"delay threshold ($delayThreshold) should not be negative.")
-    EliminateEventTimeWatermark(
-      EventTimeWatermark(UnresolvedAttribute(eventTime), parsedDelay, logicalPlan))
+    EventTimeWatermark(UnresolvedAttribute(eventTime), parsedDelay, logicalPlan)
   }
 
   /**

From a8552627cdc0945c52d2ae5115b1218c1254264d Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Thu, 23 Nov 2023 22:32:16 +0900
Subject: [PATCH 498/986] [SPARK-46062][SQL] Sync the isStreaming flag between
 CTE definition and reference

This PR proposes to sync the flag `isStreaming` from CTE definition to CTE reference.

The essential issue is that CTE reference node cannot determine the flag `isStreaming` by itself, and never be able to have a proper value and always takes the default as it does not have a parameter in constructor. The other flag `resolved` is handled, and we need to do the same for `isStreaming`.

Once we add the parameter to the constructor, we will also need to make sure the flag is in sync with CTE definition. We have a rule `ResolveWithCTE` doing the sync, hence we add the logic to sync the flag `isStreaming` as well.

The bug may impact some rules which behaves differently depending on isStreaming flag. It would no longer be a problem once CTE reference is replaced with CTE definition at some point in "optimization phase", but all rules in analyzer and optimizer being triggered before the rule takes effect may misbehave based on incorrect isStreaming flag.

No.

New UT.

No.

Closes #43966 from HeartSaVioR/SPARK-46062.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 43046631a5d4ac7201361a00473cc87fa52ab5a7)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../catalyst/analysis/CTESubstitution.scala   |  2 +-
 .../catalyst/analysis/ResolveWithCTE.scala    |  2 +-
 .../optimizer/MergeScalarSubqueries.scala     |  3 +-
 ...wnPredicatesAndPruneColumnsForCTEDef.scala |  2 +-
 .../plans/logical/basicLogicalOperators.scala |  1 +
 .../sql/catalyst/analysis/AnalysisSuite.scala | 27 +++++--
 .../MergeScalarSubqueriesSuite.scala          |  3 +-
 .../double-quoted-identifiers-enabled.sql.out |  2 +-
 .../analyzer-results/cte-nested.sql.out       | 38 +++++-----
 .../analyzer-results/cte-nonlegacy.sql.out    | 64 ++++++++---------
 .../sql-tests/analyzer-results/cte.sql.out    | 70 +++++++++----------
 .../analyzer-results/join-lateral.sql.out     |  4 +-
 .../non-excludable-rule.sql.out               |  2 +-
 .../postgreSQL/window_part3.sql.out           |  8 +--
 .../analyzer-results/postgreSQL/with.sql.out  | 12 ++--
 .../exists-subquery/exists-cte.sql.out        | 16 ++---
 .../in-subquery/in-multiple-columns.sql.out   |  4 +-
 .../subquery/in-subquery/in-with-cte.sql.out  | 64 ++++++++---------
 .../scalar-subquery-select.sql.out            | 20 +++---
 .../analyzer-results/transform.sql.out        |  4 +-
 .../analyzer-results/using-join.sql.out       |  4 +-
 .../sql/streaming/StreamingQuerySuite.scala   | 47 ++++++++++++-
 22 files changed, 231 insertions(+), 168 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
index 954f5f19cd3ec..7321f5becdc48 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubstitution.scala
@@ -263,7 +263,7 @@ object CTESubstitution extends Rule[LogicalPlan] {
             d.child
           } else {
             // Add a `SubqueryAlias` for hint-resolving rules to match relation names.
-            SubqueryAlias(table, CTERelationRef(d.id, d.resolved, d.output))
+            SubqueryAlias(table, CTERelationRef(d.id, d.resolved, d.output, d.isStreaming))
           }
         }.getOrElse(u)
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveWithCTE.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveWithCTE.scala
index 78b776f12f074..f1077378b2d9c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveWithCTE.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveWithCTE.scala
@@ -51,7 +51,7 @@ object ResolveWithCTE extends Rule[LogicalPlan] {
 
       case ref: CTERelationRef if !ref.resolved =>
         cteDefMap.get(ref.cteId).map { cteDef =>
-          CTERelationRef(cteDef.id, cteDef.resolved, cteDef.output)
+          CTERelationRef(cteDef.id, cteDef.resolved, cteDef.output, cteDef.isStreaming)
         }.getOrElse {
           ref
         }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueries.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueries.scala
index 6184160829ba6..ff0bc5e66d755 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueries.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueries.scala
@@ -381,7 +381,8 @@ object MergeScalarSubqueries extends Rule[LogicalPlan] {
               val subqueryCTE = header.plan.asInstanceOf[CTERelationDef]
               GetStructField(
                 ScalarSubquery(
-                  CTERelationRef(subqueryCTE.id, _resolved = true, subqueryCTE.output),
+                  CTERelationRef(subqueryCTE.id, _resolved = true, subqueryCTE.output,
+                    subqueryCTE.isStreaming),
                   exprId = ssr.exprId),
                 ssr.headerIndex)
             } else {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
index e643a1af363a1..aa13e6a67c510 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
@@ -141,7 +141,7 @@ object PushdownPredicatesAndPruneColumnsForCTEDef extends Rule[LogicalPlan] {
         cteDef
       }
 
-    case cteRef @ CTERelationRef(cteId, _, output, _) =>
+    case cteRef @ CTERelationRef(cteId, _, output, _, _) =>
       val (cteDef, _, _, newAttrSet) = cteMap(cteId)
       if (needsPruning(cteDef.child, newAttrSet)) {
         val indices = newAttrSet.toSeq.map(cteDef.output.indexOf)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index 0e460706fc5b8..b4d7716a566e4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -853,6 +853,7 @@ case class CTERelationRef(
     cteId: Long,
     _resolved: Boolean,
     override val output: Seq[Attribute],
+    override val isStreaming: Boolean,
     statsOpt: Option[Statistics] = None) extends LeafNode with MultiInstanceRelation {
 
   final override val nodePatterns: Seq[TreePattern] = Seq(CTE)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 843d51034aa2b..8e5329d986ef7 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1517,7 +1517,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
   test("SPARK-43030: deduplicate relations in CTE relation definitions") {
     val join = testRelation.as("left").join(testRelation.as("right"))
     val cteDef = CTERelationDef(join)
-    val cteRef = CTERelationRef(cteDef.id, false, Nil)
+    val cteRef = CTERelationRef(cteDef.id, false, Nil, false)
 
     withClue("flat CTE") {
       val plan = WithCTE(cteRef.select($"left.a"), Seq(cteDef)).analyze
@@ -1530,7 +1530,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
 
     withClue("nested CTE") {
       val cteDef2 = CTERelationDef(WithCTE(cteRef.join(testRelation), Seq(cteDef)))
-      val cteRef2 = CTERelationRef(cteDef2.id, false, Nil)
+      val cteRef2 = CTERelationRef(cteDef2.id, false, Nil, false)
       val plan = WithCTE(cteRef2, Seq(cteDef2)).analyze
       val relations = plan.collect {
         case r: LocalRelation => r
@@ -1542,7 +1542,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
 
   test("SPARK-43030: deduplicate CTE relation references") {
     val cteDef = CTERelationDef(testRelation.select($"a"))
-    val cteRef = CTERelationRef(cteDef.id, false, Nil)
+    val cteRef = CTERelationRef(cteDef.id, false, Nil, false)
 
     withClue("single reference") {
       val plan = WithCTE(cteRef.where($"a" > 1), Seq(cteDef)).analyze
@@ -1565,7 +1565,7 @@ class AnalysisSuite extends AnalysisTest with Matchers {
 
     withClue("CTE relation has duplicated attributes") {
       val cteDef = CTERelationDef(testRelation.select($"a", $"a"))
-      val cteRef = CTERelationRef(cteDef.id, false, Nil)
+      val cteRef = CTERelationRef(cteDef.id, false, Nil, false)
       val plan = WithCTE(cteRef.join(cteRef.select($"a")), Seq(cteDef)).analyze
       val refs = plan.collect {
         case r: CTERelationRef => r
@@ -1577,14 +1577,14 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     withClue("CTE relation has duplicate aliases") {
       val alias = Alias($"a", "x")()
       val cteDef = CTERelationDef(testRelation.select(alias, alias).where($"x" === 1))
-      val cteRef = CTERelationRef(cteDef.id, false, Nil)
+      val cteRef = CTERelationRef(cteDef.id, false, Nil, false)
       // Should not fail with the assertion failure: Found duplicate rewrite attributes.
       WithCTE(cteRef.join(cteRef), Seq(cteDef)).analyze
     }
 
     withClue("references in both CTE relation definition and main query") {
       val cteDef2 = CTERelationDef(cteRef.where($"a" > 2))
-      val cteRef2 = CTERelationRef(cteDef2.id, false, Nil)
+      val cteRef2 = CTERelationRef(cteDef2.id, false, Nil, false)
       val plan = WithCTE(cteRef.union(cteRef2), Seq(cteDef, cteDef2)).analyze
       val refs = plan.collect {
         case r: CTERelationRef => r
@@ -1691,4 +1691,19 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     // EventTimeWatermark node is NOT eliminated.
     assert(analyzed.exists(_.isInstanceOf[EventTimeWatermark]))
   }
+
+  test("SPARK-46062: isStreaming flag is synced from CTE definition to CTE reference") {
+    val cteDef = CTERelationDef(streamingRelation.select($"a", $"ts"))
+    // Intentionally marking the flag _resolved to false, so that analyzer has a chance to sync
+    // the flag isStreaming on syncing the flag _resolved.
+    val cteRef = CTERelationRef(cteDef.id, _resolved = false, Nil, isStreaming = false)
+    val plan = WithCTE(cteRef, Seq(cteDef)).analyze
+
+    val refs = plan.collect {
+      case r: CTERelationRef => r
+    }
+    assert(refs.length == 1)
+    assert(refs.head.resolved)
+    assert(refs.head.isStreaming)
+  }
 }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueriesSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueriesSuite.scala
index 8af0e02855b12..13e138414781f 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueriesSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/MergeScalarSubqueriesSuite.scala
@@ -42,7 +42,8 @@ class MergeScalarSubqueriesSuite extends PlanTest {
   }
 
   private def extractorExpression(cteIndex: Int, output: Seq[Attribute], fieldIndex: Int) = {
-    GetStructField(ScalarSubquery(CTERelationRef(cteIndex, _resolved = true, output)), fieldIndex)
+    GetStructField(ScalarSubquery(
+      CTERelationRef(cteIndex, _resolved = true, output, isStreaming = false)), fieldIndex)
       .as("scalarsubquery()")
   }
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
index 0a009a3a282f9..b45e461264e27 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/double-quoted-identifiers-enabled.sql.out
@@ -434,7 +434,7 @@ Project [a1#x AS a2#x]
                   :           +- OneRowRelation
                   +- Project [a#x]
                      +- SubqueryAlias v
-                        +- CTERelationRef xxxx, true, [a#x]
+                        +- CTERelationRef xxxx, true, [a#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
index d96965edde136..de0e6dfae2ce3 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nested.sql.out
@@ -15,10 +15,10 @@ WithCTE
 :  +- SubqueryAlias t
 :     +- Project [1#x]
 :        +- SubqueryAlias t2
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -37,7 +37,7 @@ Aggregate [max(c#x) AS max(c)#x]
       :           +- OneRowRelation
       +- Project [c#x]
          +- SubqueryAlias t
-            +- CTERelationRef xxxx, true, [c#x]
+            +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -54,7 +54,7 @@ Project [scalar-subquery#x [] AS scalarsubquery()#x]
 :     :        +- OneRowRelation
 :     +- Project [1#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- OneRowRelation
 
 
@@ -136,11 +136,11 @@ WithCTE
 :        :           :           +- OneRowRelation
 :        :           +- Project [c#x]
 :        :              +- SubqueryAlias t
-:        :                 +- CTERelationRef xxxx, true, [c#x]
+:        :                 +- CTERelationRef xxxx, true, [c#x], false
 :        +- OneRowRelation
 +- Project [scalarsubquery()#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [scalarsubquery()#x]
+      +- CTERelationRef xxxx, true, [scalarsubquery()#x], false
 
 
 -- !query
@@ -189,7 +189,7 @@ WithCTE
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [c#x]
          +- SubqueryAlias t
-            +- CTERelationRef xxxx, true, [c#x]
+            +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -218,7 +218,7 @@ WithCTE
          +- SubqueryAlias __auto_generated_subquery_name
             +- Project [c#x]
                +- SubqueryAlias t
-                  +- CTERelationRef xxxx, true, [c#x]
+                  +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -253,7 +253,7 @@ WithCTE
          +- SubqueryAlias __auto_generated_subquery_name
             +- Project [c#x]
                +- SubqueryAlias t
-                  +- CTERelationRef xxxx, true, [c#x]
+                  +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -352,14 +352,14 @@ WithCTE
 :  +- SubqueryAlias t
 :     +- Project [1#x]
 :        +- SubqueryAlias t2
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias t2
 :     +- Project [2 AS 2#x]
 :        +- OneRowRelation
 +- Project [1#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -420,15 +420,15 @@ WithCTE
 :  +- SubqueryAlias t3
 :     +- Project [1#x]
 :        +- SubqueryAlias t1
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias t2
 :     +- Project [1#x]
 :        +- SubqueryAlias t3
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -451,12 +451,12 @@ WithCTE
 :  +- SubqueryAlias cte_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias cte_outer
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [1#x]
          +- SubqueryAlias cte_inner
-            +- CTERelationRef xxxx, true, [1#x]
+            +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -484,19 +484,19 @@ WithCTE
 :  +- SubqueryAlias cte_inner_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias cte_outer
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias cte_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias __auto_generated_subquery_name
 :           +- Project [1#x]
 :              +- SubqueryAlias cte_inner_inner
-:                 +- CTERelationRef xxxx, true, [1#x]
+:                 +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [1#x]
          +- SubqueryAlias cte_inner
-            +- CTERelationRef xxxx, true, [1#x]
+            +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
index bd9b443d01d0a..f1a302b06f2a8 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte-nonlegacy.sql.out
@@ -15,10 +15,10 @@ WithCTE
 :  +- SubqueryAlias t
 :     +- Project [1#x]
 :        +- SubqueryAlias t2
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -37,7 +37,7 @@ Aggregate [max(c#x) AS max(c)#x]
       :           +- OneRowRelation
       +- Project [c#x]
          +- SubqueryAlias t
-            +- CTERelationRef xxxx, true, [c#x]
+            +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -54,7 +54,7 @@ Project [scalar-subquery#x [] AS scalarsubquery()#x]
 :     :        +- OneRowRelation
 :     +- Project [1#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- OneRowRelation
 
 
@@ -106,10 +106,10 @@ WithCTE
 :  +- SubqueryAlias t2
 :     +- Project [2#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [2#x]
+:           +- CTERelationRef xxxx, true, [2#x], false
 +- Project [2#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [2#x]
+      +- CTERelationRef xxxx, true, [2#x], false
 
 
 -- !query
@@ -144,11 +144,11 @@ WithCTE
 :        :           :           +- OneRowRelation
 :        :           +- Project [c#x]
 :        :              +- SubqueryAlias t
-:        :                 +- CTERelationRef xxxx, true, [c#x]
+:        :                 +- CTERelationRef xxxx, true, [c#x], false
 :        +- OneRowRelation
 +- Project [scalarsubquery()#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [scalarsubquery()#x]
+      +- CTERelationRef xxxx, true, [scalarsubquery()#x], false
 
 
 -- !query
@@ -181,15 +181,15 @@ WithCTE
 :  +- SubqueryAlias t2
 :     +- Project [3#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [3#x]
+:           +- CTERelationRef xxxx, true, [3#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias t2
 :     +- Project [3#x]
 :        +- SubqueryAlias t2
-:           +- CTERelationRef xxxx, true, [3#x]
+:           +- CTERelationRef xxxx, true, [3#x], false
 +- Project [3#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [3#x]
+      +- CTERelationRef xxxx, true, [3#x], false
 
 
 -- !query
@@ -214,7 +214,7 @@ WithCTE
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [c#x]
          +- SubqueryAlias t
-            +- CTERelationRef xxxx, true, [c#x]
+            +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -243,7 +243,7 @@ WithCTE
          +- SubqueryAlias __auto_generated_subquery_name
             +- Project [c#x]
                +- SubqueryAlias t
-                  +- CTERelationRef xxxx, true, [c#x]
+                  +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -278,7 +278,7 @@ WithCTE
          +- SubqueryAlias __auto_generated_subquery_name
             +- Project [c#x]
                +- SubqueryAlias t
-                  +- CTERelationRef xxxx, true, [c#x]
+                  +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -301,7 +301,7 @@ WithCTE
    :     :        +- OneRowRelation
    :     +- Project [2#x]
    :        +- SubqueryAlias t
-   :           +- CTERelationRef xxxx, true, [2#x]
+   :           +- CTERelationRef xxxx, true, [2#x], false
    +- OneRowRelation
 
 
@@ -328,7 +328,7 @@ WithCTE
    :     :     :        +- OneRowRelation
    :     :     +- Project [2#x]
    :     :        +- SubqueryAlias t
-   :     :           +- CTERelationRef xxxx, true, [2#x]
+   :     :           +- CTERelationRef xxxx, true, [2#x], false
    :     +- OneRowRelation
    +- OneRowRelation
 
@@ -362,7 +362,7 @@ WithCTE
    :        :     :        +- OneRowRelation
    :        :     +- Project [3#x]
    :        :        +- SubqueryAlias t
-   :        :           +- CTERelationRef xxxx, true, [3#x]
+   :        :           +- CTERelationRef xxxx, true, [3#x], false
    :        +- OneRowRelation
    +- OneRowRelation
 
@@ -391,9 +391,9 @@ WithCTE
       :     :           +- OneRowRelation
       :     +- Project [c#x]
       :        +- SubqueryAlias t
-      :           +- CTERelationRef xxxx, true, [c#x]
+      :           +- CTERelationRef xxxx, true, [c#x], false
       +- SubqueryAlias t
-         +- CTERelationRef xxxx, true, [c#x]
+         +- CTERelationRef xxxx, true, [c#x], false
 
 
 -- !query
@@ -414,14 +414,14 @@ WithCTE
 :  +- SubqueryAlias t
 :     +- Project [1#x]
 :        +- SubqueryAlias t2
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias t2
 :     +- Project [2 AS 2#x]
 :        +- OneRowRelation
 +- Project [1#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -446,10 +446,10 @@ WithCTE
 :  +- SubqueryAlias t
 :     +- Project [2#x]
 :        +- SubqueryAlias aBC
-:           +- CTERelationRef xxxx, true, [2#x]
+:           +- CTERelationRef xxxx, true, [2#x], false
 +- Project [2#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [2#x]
+      +- CTERelationRef xxxx, true, [2#x], false
 
 
 -- !query
@@ -472,7 +472,7 @@ WithCTE
    :     :        +- OneRowRelation
    :     +- Project [2#x]
    :        +- SubqueryAlias aBC
-   :           +- CTERelationRef xxxx, true, [2#x]
+   :           +- CTERelationRef xxxx, true, [2#x], false
    +- OneRowRelation
 
 
@@ -496,15 +496,15 @@ WithCTE
 :  +- SubqueryAlias t3
 :     +- Project [1#x]
 :        +- SubqueryAlias t1
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias t2
 :     +- Project [1#x]
 :        +- SubqueryAlias t3
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias t2
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -527,12 +527,12 @@ WithCTE
 :  +- SubqueryAlias cte_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias cte_outer
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [1#x]
          +- SubqueryAlias cte_inner
-            +- CTERelationRef xxxx, true, [1#x]
+            +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -560,19 +560,19 @@ WithCTE
 :  +- SubqueryAlias cte_inner_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias cte_outer
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias cte_inner
 :     +- Project [1#x]
 :        +- SubqueryAlias __auto_generated_subquery_name
 :           +- Project [1#x]
 :              +- SubqueryAlias cte_inner_inner
-:                 +- CTERelationRef xxxx, true, [1#x]
+:                 +- CTERelationRef xxxx, true, [1#x], false
 +- Project [1#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [1#x]
          +- SubqueryAlias cte_inner
-            +- CTERelationRef xxxx, true, [1#x]
+            +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
index b9a0f776528d8..e817aaf9e59ff 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/cte.sql.out
@@ -73,7 +73,7 @@ WithCTE
 :                       +- LocalRelation [id#x]
 +- Project [1#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [1#x]
+      +- CTERelationRef xxxx, true, [1#x], false
 
 
 -- !query
@@ -113,13 +113,13 @@ WithCTE
 :  +- SubqueryAlias t2
 :     +- Project [2 AS 2#x]
 :        +- SubqueryAlias t1
-:           +- CTERelationRef xxxx, true, [id#x]
+:           +- CTERelationRef xxxx, true, [id#x], false
 +- Project [id#x, 2#x]
    +- Join Cross
       :- SubqueryAlias t1
-      :  +- CTERelationRef xxxx, true, [id#x]
+      :  +- CTERelationRef xxxx, true, [id#x], false
       +- SubqueryAlias t2
-         +- CTERelationRef xxxx, true, [2#x]
+         +- CTERelationRef xxxx, true, [2#x], false
 
 
 -- !query
@@ -157,10 +157,10 @@ WithCTE
    +- Join Cross
       :- SubqueryAlias t1
       :  +- SubqueryAlias CTE1
-      :     +- CTERelationRef xxxx, true, [id#x]
+      :     +- CTERelationRef xxxx, true, [id#x], false
       +- SubqueryAlias t2
          +- SubqueryAlias CTE1
-            +- CTERelationRef xxxx, true, [id#x]
+            +- CTERelationRef xxxx, true, [id#x], false
 
 
 -- !query
@@ -176,7 +176,7 @@ WithCTE
 +- Project [x#x]
    +- Filter (x#x = 1)
       +- SubqueryAlias t
-         +- CTERelationRef xxxx, true, [x#x]
+         +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
@@ -192,7 +192,7 @@ WithCTE
 +- Project [x#x, y#x]
    +- Filter ((x#x = 1) AND (y#x = 2))
       +- SubqueryAlias t
-         +- CTERelationRef xxxx, true, [x#x, y#x]
+         +- CTERelationRef xxxx, true, [x#x, y#x], false
 
 
 -- !query
@@ -207,7 +207,7 @@ WithCTE
 :           +- OneRowRelation
 +- Project [x#x, x#x]
    +- SubqueryAlias t
-      +- CTERelationRef xxxx, true, [x#x, x#x]
+      +- CTERelationRef xxxx, true, [x#x, x#x], false
 
 
 -- !query
@@ -309,46 +309,46 @@ WithCTE
 :     +- Project [c8#x AS c7#x]
 :        +- Project [c8#x]
 :           +- SubqueryAlias w8
-:              +- CTERelationRef xxxx, true, [c8#x]
+:              +- CTERelationRef xxxx, true, [c8#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w6
 :     +- Project [c7#x AS c6#x]
 :        +- Project [c7#x]
 :           +- SubqueryAlias w7
-:              +- CTERelationRef xxxx, true, [c7#x]
+:              +- CTERelationRef xxxx, true, [c7#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w5
 :     +- Project [c6#x AS c5#x]
 :        +- Project [c6#x]
 :           +- SubqueryAlias w6
-:              +- CTERelationRef xxxx, true, [c6#x]
+:              +- CTERelationRef xxxx, true, [c6#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w4
 :     +- Project [c5#x AS c4#x]
 :        +- Project [c5#x]
 :           +- SubqueryAlias w5
-:              +- CTERelationRef xxxx, true, [c5#x]
+:              +- CTERelationRef xxxx, true, [c5#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w3
 :     +- Project [c4#x AS c3#x]
 :        +- Project [c4#x]
 :           +- SubqueryAlias w4
-:              +- CTERelationRef xxxx, true, [c4#x]
+:              +- CTERelationRef xxxx, true, [c4#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w2
 :     +- Project [c3#x AS c2#x]
 :        +- Project [c3#x]
 :           +- SubqueryAlias w3
-:              +- CTERelationRef xxxx, true, [c3#x]
+:              +- CTERelationRef xxxx, true, [c3#x], false
 :- CTERelationDef xxxx, false
 :  +- SubqueryAlias w1
 :     +- Project [c2#x AS c1#x]
 :        +- Project [c2#x]
 :           +- SubqueryAlias w2
-:              +- CTERelationRef xxxx, true, [c2#x]
+:              +- CTERelationRef xxxx, true, [c2#x], false
 +- Project [c1#x]
    +- SubqueryAlias w1
-      +- CTERelationRef xxxx, true, [c1#x]
+      +- CTERelationRef xxxx, true, [c1#x], false
 
 
 -- !query
@@ -384,7 +384,7 @@ WithCTE
 +- Project [42#x, 10#x]
    +- Join Inner
       :- SubqueryAlias same_name
-      :  +- CTERelationRef xxxx, true, [42#x]
+      :  +- CTERelationRef xxxx, true, [42#x], false
       +- SubqueryAlias same_name
          +- Project [10 AS 10#x]
             +- OneRowRelation
@@ -423,7 +423,7 @@ WithCTE
 :        +- OneRowRelation
 +- Project [x#x, typeof(x#x) AS typeof(x)#x]
    +- SubqueryAlias q
-      +- CTERelationRef xxxx, true, [x#x]
+      +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
@@ -483,7 +483,7 @@ Project [y#x]
       :        +- OneRowRelation
       +- Project [(x#x + 1) AS y#x]
          +- SubqueryAlias q
-            +- CTERelationRef xxxx, true, [x#x]
+            +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
@@ -497,7 +497,7 @@ Project [scalar-subquery#x [] AS scalarsubquery()#x]
 :     :        +- OneRowRelation
 :     +- Project [x#x]
 :        +- SubqueryAlias q
-:           +- CTERelationRef xxxx, true, [x#x]
+:           +- CTERelationRef xxxx, true, [x#x], false
 +- OneRowRelation
 
 
@@ -512,7 +512,7 @@ Project [1 IN (list#x []) AS (1 IN (listquery()))#x]
 :     :        +- OneRowRelation
 :     +- Project [1#x]
 :        +- SubqueryAlias q
-:           +- CTERelationRef xxxx, true, [1#x]
+:           +- CTERelationRef xxxx, true, [1#x], false
 +- OneRowRelation
 
 
@@ -560,14 +560,14 @@ WithCTE
       :- Join Inner
       :  :- SubqueryAlias x
       :  :  +- SubqueryAlias T1
-      :  :     +- CTERelationRef xxxx, true, [a#x]
+      :  :     +- CTERelationRef xxxx, true, [a#x], false
       :  +- SubqueryAlias y
       :     +- Project [b#x]
       :        +- SubqueryAlias T1
-      :           +- CTERelationRef xxxx, true, [b#x]
+      :           +- CTERelationRef xxxx, true, [b#x], false
       +- SubqueryAlias z
          +- SubqueryAlias T1
-            +- CTERelationRef xxxx, true, [a#x]
+            +- CTERelationRef xxxx, true, [a#x], false
 
 
 -- !query
@@ -595,9 +595,9 @@ WithCTE
       +- Project [c#x, a#x]
          +- Join Inner
             :- SubqueryAlias ttTT
-            :  +- CTERelationRef xxxx, true, [c#x]
+            :  +- CTERelationRef xxxx, true, [c#x], false
             +- SubqueryAlias tttT_2
-               +- CTERelationRef xxxx, true, [a#x]
+               +- CTERelationRef xxxx, true, [a#x], false
 
 
 -- !query
@@ -613,7 +613,7 @@ Project [scalar-subquery#x [x#x] AS scalarsubquery(x)#x]
 :     :        +- OneRowRelation
 :     +- Project [x#x]
 :        +- SubqueryAlias q
-:           +- CTERelationRef xxxx, true, [x#x]
+:           +- CTERelationRef xxxx, true, [x#x], false
 +- SubqueryAlias T
    +- Project [1 AS x#x, 2 AS y#x]
       +- OneRowRelation
@@ -632,7 +632,7 @@ Project [scalar-subquery#x [x#x && y#x] AS scalarsubquery(x, y)#x]
 :     :        +- OneRowRelation
 :     +- Project [((outer(x#x) + outer(y#x)) + z#x) AS ((outer(T.x) + outer(T.y)) + z)#x]
 :        +- SubqueryAlias q
-:           +- CTERelationRef xxxx, true, [z#x]
+:           +- CTERelationRef xxxx, true, [z#x], false
 +- SubqueryAlias T
    +- Project [1 AS x#x, 2 AS y#x]
       +- OneRowRelation
@@ -652,12 +652,12 @@ WithCTE
 :  +- SubqueryAlias q2
 :     +- Project [x#x]
 :        +- SubqueryAlias q1
-:           +- CTERelationRef xxxx, true, [x#x]
+:           +- CTERelationRef xxxx, true, [x#x], false
 +- Project [x#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [x#x]
          +- SubqueryAlias q2
-            +- CTERelationRef xxxx, true, [x#x]
+            +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
@@ -674,12 +674,12 @@ WithCTE
 :  +- SubqueryAlias q1
 :     +- Project [(x#x + 1) AS (x + 1)#x]
 :        +- SubqueryAlias q1
-:           +- CTERelationRef xxxx, true, [x#x]
+:           +- CTERelationRef xxxx, true, [x#x], false
 +- Project [(x + 1)#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- Project [(x + 1)#x]
          +- SubqueryAlias q1
-            +- CTERelationRef xxxx, true, [(x + 1)#x]
+            +- CTERelationRef xxxx, true, [(x + 1)#x], false
 
 
 -- !query
@@ -720,9 +720,9 @@ WithCTE
       :  +- Aggregate [max(j#x) AS max(j)#x]
       :     +- SubqueryAlias cte2
       :        +- SubqueryAlias cte1
-      :           +- CTERelationRef xxxx, true, [j#x]
+      :           +- CTERelationRef xxxx, true, [j#x], false
       +- SubqueryAlias cte1
-         +- CTERelationRef xxxx, true, [j#x]
+         +- CTERelationRef xxxx, true, [j#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
index 4c032b7cbf9a2..2c7b31f62c6f4 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/join-lateral.sql.out
@@ -1310,10 +1310,10 @@ WithCTE
 :           :                 +- Project [cast(col1#x as int) AS c1#x, cast(col2#x as int) AS c2#x]
 :           :                    +- LocalRelation [col1#x, col2#x]
 :           +- SubqueryAlias cte1
-:              +- CTERelationRef xxxx, true, [c1#x]
+:              +- CTERelationRef xxxx, true, [c1#x], false
 +- Project [c1#x, c2#x]
    +- SubqueryAlias cte2
-      +- CTERelationRef xxxx, true, [c1#x, c2#x]
+      +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/non-excludable-rule.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/non-excludable-rule.sql.out
index 305a59f01e443..b80bed6f7c2aa 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/non-excludable-rule.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/non-excludable-rule.sql.out
@@ -47,7 +47,7 @@ WithCTE
    +- Filter (id#xL > scalar-subquery#x [])
       :  +- Aggregate [max(id#xL) AS max(id)#xL]
       :     +- SubqueryAlias tmp
-      :        +- CTERelationRef xxxx, true, [id#xL]
+      :        +- CTERelationRef xxxx, true, [id#xL], false
       +- Range (0, 3, step=1, splits=None)
 
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
index 6b6a37b4e7fb4..6698d1fb083f0 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/window_part3.sql.out
@@ -98,7 +98,7 @@ WithCTE
       +- Window [sum(x#xL) windowspecdefinition(x#xL ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, 1)) AS sum(x) OVER (ORDER BY x ASC NULLS FIRST ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)#xL], [x#xL ASC NULLS FIRST]
          +- Project [x#xL]
             +- SubqueryAlias cte
-               +- CTERelationRef xxxx, true, [x#xL]
+               +- CTERelationRef xxxx, true, [x#xL], false
 
 
 -- !query
@@ -120,7 +120,7 @@ WithCTE
       +- Window [sum(x#xL) windowspecdefinition(x#xL ASC NULLS FIRST, specifiedwindowframe(RangeFrame, cast(-1 as bigint), cast(1 as bigint))) AS sum(x) OVER (ORDER BY x ASC NULLS FIRST RANGE BETWEEN (- 1) FOLLOWING AND 1 FOLLOWING)#xL], [x#xL ASC NULLS FIRST]
          +- Project [x#xL]
             +- SubqueryAlias cte
-               +- CTERelationRef xxxx, true, [x#xL]
+               +- CTERelationRef xxxx, true, [x#xL], false
 
 
 -- !query
@@ -153,7 +153,7 @@ WithCTE
       +- Window [sum(x#xL) windowspecdefinition(x#xL ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, 1)) AS sum(x) OVER (ORDER BY x ASC NULLS FIRST ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)#xL], [x#xL ASC NULLS FIRST]
          +- Project [x#xL]
             +- SubqueryAlias cte
-               +- CTERelationRef xxxx, true, [x#xL]
+               +- CTERelationRef xxxx, true, [x#xL], false
 
 
 -- !query
@@ -186,7 +186,7 @@ WithCTE
       +- Window [sum(x#xL) windowspecdefinition(x#xL ASC NULLS FIRST, specifiedwindowframe(RangeFrame, cast(-1 as bigint), cast(1 as bigint))) AS sum(x) OVER (ORDER BY x ASC NULLS FIRST RANGE BETWEEN (- 1) FOLLOWING AND 1 FOLLOWING)#xL], [x#xL ASC NULLS FIRST]
          +- Project [x#xL]
             +- SubqueryAlias cte
-               +- CTERelationRef xxxx, true, [x#xL]
+               +- CTERelationRef xxxx, true, [x#xL], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
index c978c583152c5..b3ce967f2a6b5 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/with.sql.out
@@ -12,10 +12,10 @@ WithCTE
 +- Project [x#x, y#x, x#x, y#x]
    +- Join Inner
       :- SubqueryAlias q1
-      :  +- CTERelationRef xxxx, true, [x#x, y#x]
+      :  +- CTERelationRef xxxx, true, [x#x, y#x], false
       +- SubqueryAlias q2
          +- SubqueryAlias q1
-            +- CTERelationRef xxxx, true, [x#x, y#x]
+            +- CTERelationRef xxxx, true, [x#x, y#x], false
 
 
 -- !query
@@ -194,7 +194,7 @@ WithCTE
    +- SubqueryAlias q
       +- Project [foo#x]
          +- SubqueryAlias cte
-            +- CTERelationRef xxxx, true, [foo#x]
+            +- CTERelationRef xxxx, true, [foo#x], false
 
 
 -- !query
@@ -222,13 +222,13 @@ WithCTE
 :                 +- Union false, false
 :                    :- Project [2#x]
 :                    :  +- SubqueryAlias innermost
-:                    :     +- CTERelationRef xxxx, true, [2#x]
+:                    :     +- CTERelationRef xxxx, true, [2#x], false
 :                    +- Project [3 AS 3#x]
 :                       +- OneRowRelation
 +- Sort [x#x ASC NULLS FIRST], true
    +- Project [x#x]
       +- SubqueryAlias outermost
-         +- CTERelationRef xxxx, true, [x#x]
+         +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
@@ -418,7 +418,7 @@ WithCTE
 :        +- OneRowRelation
 +- Project [x#x]
    +- SubqueryAlias ordinality
-      +- CTERelationRef xxxx, true, [x#x]
+      +- CTERelationRef xxxx, true, [x#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-cte.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-cte.sql.out
index 2cd6ba5356371..cab83b2649974 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-cte.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/exists-subquery/exists-cte.sql.out
@@ -133,7 +133,7 @@ WithCTE
       :     +- Filter (outer(emp_name#x) = emp_name#x)
       :        +- SubqueryAlias b
       :           +- SubqueryAlias bonus_cte
-      :              +- CTERelationRef xxxx, true, [emp_name#x, bonus_amt#x]
+      :              +- CTERelationRef xxxx, true, [emp_name#x, bonus_amt#x], false
       +- SubqueryAlias a
          +- SubqueryAlias bonus
             +- View (`BONUS`, [emp_name#x,bonus_amt#x])
@@ -189,10 +189,10 @@ WithCTE
       :        +- Join Inner, (dept_id#x = dept_id#x)
       :           :- SubqueryAlias a
       :           :  +- SubqueryAlias emp_cte
-      :           :     +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x]
+      :           :     +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x], false
       :           +- SubqueryAlias b
       :              +- SubqueryAlias dept_cte
-      :                 +- CTERelationRef xxxx, true, [dept_id#x, dept_name#x, state#x]
+      :                 +- CTERelationRef xxxx, true, [dept_id#x, dept_name#x, state#x], false
       +- SubqueryAlias bonus
          +- View (`BONUS`, [emp_name#x,bonus_amt#x])
             +- Project [cast(emp_name#x as string) AS emp_name#x, cast(bonus_amt#x as double) AS bonus_amt#x]
@@ -253,10 +253,10 @@ WithCTE
          :        +- Join LeftOuter, (dept_id#x = dept_id#x)
          :           :- SubqueryAlias a
          :           :  +- SubqueryAlias emp_cte
-         :           :     +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x]
+         :           :     +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x], false
          :           +- SubqueryAlias b
          :              +- SubqueryAlias dept_cte
-         :                 +- CTERelationRef xxxx, true, [dept_id#x, dept_name#x, state#x]
+         :                 +- CTERelationRef xxxx, true, [dept_id#x, dept_name#x, state#x], false
          +- Join Inner
             :- Join Inner
             :  :- SubqueryAlias b
@@ -268,7 +268,7 @@ WithCTE
             :  :                 +- LocalRelation [emp_name#x, bonus_amt#x]
             :  +- SubqueryAlias e
             :     +- SubqueryAlias emp_cte
-            :        +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x]
+            :        +- CTERelationRef xxxx, true, [id#x, emp_name#x, hiredate#x, salary#x, dept_id#x], false
             +- SubqueryAlias d
                +- SubqueryAlias dept
                   +- View (`DEPT`, [dept_id#x,dept_name#x,state#x])
@@ -322,7 +322,7 @@ WithCTE
       :     +- Filter (count(1)#xL > cast(1 as bigint))
       :        +- Aggregate [dept_id#x], [dept_id#x, max(salary#x) AS max(salary)#x, count(1) AS count(1)#xL]
       :           +- SubqueryAlias empdept
-      :              +- CTERelationRef xxxx, true, [id#x, salary#x, emp_name#x, dept_id#x]
+      :              +- CTERelationRef xxxx, true, [id#x, salary#x, emp_name#x, dept_id#x], false
       +- SubqueryAlias bonus
          +- View (`BONUS`, [emp_name#x,bonus_amt#x])
             +- Project [cast(emp_name#x as string) AS emp_name#x, cast(bonus_amt#x as double) AS bonus_amt#x]
@@ -375,7 +375,7 @@ WithCTE
       :     +- Filter (count(1)#xL < cast(1 as bigint))
       :        +- Aggregate [dept_id#x], [dept_id#x, max(salary#x) AS max(salary)#x, count(1) AS count(1)#xL]
       :           +- SubqueryAlias empdept
-      :              +- CTERelationRef xxxx, true, [id#x, salary#x, emp_name#x, dept_id#x]
+      :              +- CTERelationRef xxxx, true, [id#x, salary#x, emp_name#x, dept_id#x], false
       +- SubqueryAlias bonus
          +- View (`BONUS`, [emp_name#x,bonus_amt#x])
             +- Project [cast(emp_name#x as string) AS emp_name#x, cast(bonus_amt#x as double) AS bonus_amt#x]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-multiple-columns.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-multiple-columns.sql.out
index ab16f4b9d687c..1717e553f5c3c 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-multiple-columns.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-multiple-columns.sql.out
@@ -330,7 +330,7 @@ WithCTE
       +- Project [t1a#x, t1b#x, t1a#x, t1b#x]
          +- Join Inner, (t1b#x = t1b#x)
             :- SubqueryAlias cte1
-            :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+            :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
             +- SubqueryAlias cte2
                +- SubqueryAlias cte1
-                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-with-cte.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-with-cte.sql.out
index 9d82c707177b7..6d0a944bfcfe2 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-with-cte.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/in-subquery/in-with-cte.sql.out
@@ -138,7 +138,7 @@ WithCTE
       :  +- Project [t1b#x]
       :     +- Filter (cast(t1b#x as int) > 0)
       :        +- SubqueryAlias cte1
-      :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+      :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
       +- SubqueryAlias t1
          +- View (`t1`, [t1a#x,t1b#x,t1c#x,t1d#xL,t1e#x,t1f#x,t1g#x,t1h#x,t1i#x])
             +- Project [cast(t1a#x as string) AS t1a#x, cast(t1b#x as smallint) AS t1b#x, cast(t1c#x as int) AS t1c#x, cast(t1d#xL as bigint) AS t1d#xL, cast(t1e#x as float) AS t1e#x, cast(t1f#x as double) AS t1f#x, cast(t1g#x as double) AS t1g#x, cast(t1h#x as timestamp) AS t1h#x, cast(t1i#x as date) AS t1i#x]
@@ -197,21 +197,21 @@ WithCTE
          :        :  :     :- Project [t1b#x]
          :        :  :     :  +- Filter (cast(t1b#x as int) > 0)
          :        :  :     :     +- SubqueryAlias cte1
-         :        :  :     :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :        :  :     :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          :        :  :     +- Project [t1b#x]
          :        :  :        +- Filter (cast(t1b#x as int) > 5)
          :        :  :           +- SubqueryAlias cte1
-         :        :  :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :        :  :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          :        :  +- Intersect false
          :        :     :- Project [t1b#x]
          :        :     :  +- SubqueryAlias cte1
-         :        :     :     +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :        :     :     +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          :        :     +- Project [t1b#x]
          :        :        +- SubqueryAlias cte1
-         :        :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :        :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          :        +- Project [t1b#x]
          :           +- SubqueryAlias cte1
-         :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          +- SubqueryAlias t1
             +- View (`t1`, [t1a#x,t1b#x,t1c#x,t1d#xL,t1e#x,t1f#x,t1g#x,t1h#x,t1i#x])
                +- Project [cast(t1a#x as string) AS t1a#x, cast(t1b#x as smallint) AS t1b#x, cast(t1c#x as int) AS t1c#x, cast(t1d#xL as bigint) AS t1d#xL, cast(t1e#x as float) AS t1e#x, cast(t1f#x as double) AS t1f#x, cast(t1g#x as double) AS t1g#x, cast(t1h#x as timestamp) AS t1h#x, cast(t1i#x as date) AS t1i#x]
@@ -268,22 +268,22 @@ WithCTE
       :        :  :  :- Join FullOuter, (t1c#x = t1c#x)
       :        :  :  :  :- Join Inner, (t1b#x > t1b#x)
       :        :  :  :  :  :- SubqueryAlias cte1
-      :        :  :  :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :        :  :  :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       :        :  :  :  :  +- SubqueryAlias cte2
       :        :  :  :  :     +- SubqueryAlias cte1
-      :        :  :  :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :        :  :  :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       :        :  :  :  +- SubqueryAlias cte3
       :        :  :  :     +- SubqueryAlias cte1
-      :        :  :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :        :  :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       :        :  :  +- SubqueryAlias cte4
       :        :  :     +- SubqueryAlias cte1
-      :        :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :        :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       :        :  +- SubqueryAlias cte5
       :        :     +- SubqueryAlias cte1
-      :        :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :        :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       :        +- SubqueryAlias cte6
       :           +- SubqueryAlias cte1
-      :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x]
+      :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x], false
       +- SubqueryAlias t1
          +- View (`t1`, [t1a#x,t1b#x,t1c#x,t1d#xL,t1e#x,t1f#x,t1g#x,t1h#x,t1i#x])
             +- Project [cast(t1a#x as string) AS t1a#x, cast(t1b#x as smallint) AS t1b#x, cast(t1c#x as int) AS t1c#x, cast(t1d#xL as bigint) AS t1d#xL, cast(t1e#x as float) AS t1e#x, cast(t1f#x as double) AS t1f#x, cast(t1g#x as double) AS t1g#x, cast(t1h#x as timestamp) AS t1h#x, cast(t1i#x as date) AS t1i#x]
@@ -354,16 +354,16 @@ WithCTE
             :- Join FullOuter, (t1a#x = t1a#x)
             :  :- Join Inner, ((cast(t1b#x as int) > 5) AND (t1a#x = t1a#x))
             :  :  :- SubqueryAlias cte1
-            :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+            :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
             :  :  +- SubqueryAlias cte2
             :  :     +- SubqueryAlias cte1
-            :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+            :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
             :  +- SubqueryAlias cte3
             :     +- SubqueryAlias cte1
-            :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+            :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
             +- SubqueryAlias cte4
                +- SubqueryAlias cte1
-                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
 
 
 -- !query
@@ -424,10 +424,10 @@ WithCTE
          +- Project [t1a#x, t1b#x]
             +- Join Inner, (t1h#x >= t1h#x)
                :- SubqueryAlias cte1
-               :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1h#x]
+               :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1h#x], false
                +- SubqueryAlias cte2
                   +- SubqueryAlias cte1
-                     +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1h#x]
+                     +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1h#x], false
 
 
 -- !query
@@ -485,16 +485,16 @@ WithCTE
             :- Join RightOuter, (t1b#x = t1b#x)
             :  :- Join Inner, (t1a#x = t1a#x)
             :  :  :- SubqueryAlias cte1
-            :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x]
+            :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x], false
             :  :  +- SubqueryAlias cte2
             :  :     +- SubqueryAlias cte1
-            :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x]
+            :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x], false
             :  +- SubqueryAlias cte3
             :     +- SubqueryAlias cte1
-            :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x]
+            :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x], false
             +- SubqueryAlias cte4
                +- SubqueryAlias cte1
-                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x]
+                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x], false
 
 
 -- !query
@@ -538,10 +538,10 @@ WithCTE
       +- Project [t1a#x, t1b#x]
          +- Join RightOuter, (t1a#x = t1a#x)
             :- SubqueryAlias cte1
-            :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+            :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
             +- SubqueryAlias cte2
                +- SubqueryAlias cte1
-                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+                  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
 
 
 -- !query
@@ -599,15 +599,15 @@ WithCTE
          :        :           +- SubqueryAlias t1
          :        :              +- LocalRelation [t1a#x, t1b#x, t1c#x, t1d#xL, t1e#x, t1f#x, t1g#x, t1h#x, t1i#x]
          :        +- SubqueryAlias cte1
-         :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+         :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
          +- SubqueryAlias s
             +- Project [t1b#x]
                +- Join LeftOuter, (t1b#x = t1b#x)
                   :- SubqueryAlias cte1
-                  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+                  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
                   +- SubqueryAlias cte2
                      +- SubqueryAlias cte1
-                        +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+                        +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
 
 
 -- !query
@@ -642,7 +642,7 @@ WithCTE
       :  +- Project [t1b#x]
       :     +- Filter (cast(t1b#x as int) < 0)
       :        +- SubqueryAlias cte1
-      :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x]
+      :           +- CTERelationRef xxxx, true, [t1a#x, t1b#x], false
       +- SubqueryAlias t1
          +- View (`t1`, [t1a#x,t1b#x,t1c#x,t1d#xL,t1e#x,t1f#x,t1g#x,t1h#x,t1i#x])
             +- Project [cast(t1a#x as string) AS t1a#x, cast(t1b#x as smallint) AS t1b#x, cast(t1c#x as int) AS t1c#x, cast(t1d#xL as bigint) AS t1d#xL, cast(t1e#x as float) AS t1e#x, cast(t1f#x as double) AS t1f#x, cast(t1g#x as double) AS t1g#x, cast(t1h#x as timestamp) AS t1h#x, cast(t1i#x as date) AS t1i#x]
@@ -722,16 +722,16 @@ WithCTE
          :        :- Join RightOuter, (t1b#x = t1b#x)
          :        :  :- Join Inner, (t1a#x = t1a#x)
          :        :  :  :- SubqueryAlias cte1
-         :        :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x]
+         :        :  :  :  +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x], false
          :        :  :  +- SubqueryAlias cte2
          :        :  :     +- SubqueryAlias cte1
-         :        :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x]
+         :        :  :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x], false
          :        :  +- SubqueryAlias cte3
          :        :     +- SubqueryAlias cte1
-         :        :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x]
+         :        :        +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x], false
          :        +- SubqueryAlias cte4
          :           +- SubqueryAlias cte1
-         :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x]
+         :              +- CTERelationRef xxxx, true, [t1a#x, t1b#x, t1c#x, t1d#xL, t1h#x], false
          +- SubqueryAlias t1
             +- View (`t1`, [t1a#x,t1b#x,t1c#x,t1d#xL,t1e#x,t1f#x,t1g#x,t1h#x,t1i#x])
                +- Project [cast(t1a#x as string) AS t1a#x, cast(t1b#x as smallint) AS t1b#x, cast(t1c#x as int) AS t1c#x, cast(t1d#xL as bigint) AS t1d#xL, cast(t1e#x as float) AS t1e#x, cast(t1f#x as double) AS t1f#x, cast(t1g#x as double) AS t1g#x, cast(t1h#x as timestamp) AS t1h#x, cast(t1i#x as date) AS t1i#x]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-select.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-select.sql.out
index cb41f7cdc4557..c7271d8b85628 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-select.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/subquery/scalar-subquery/scalar-subquery-select.sql.out
@@ -623,7 +623,7 @@ Project [c1#x, scalar-subquery#x [c1#x] AS scalarsubquery(c1)#x]
 :     :        +- OneRowRelation
 :     +- Project [(a#x + outer(c1#x)) AS (a + outer(t1.c1))#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [a#x]
+:           +- CTERelationRef xxxx, true, [a#x], false
 +- SubqueryAlias t1
    +- View (`t1`, [c1#x,c2#x])
       +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -647,7 +647,7 @@ Project [c1#x, scalar-subquery#x [c1#x] AS scalarsubquery(c1)#xL]
 :     :                       +- LocalRelation [c1#x, c2#x]
 :     +- Aggregate [sum(c2#x) AS sum(c2)#xL]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [c1#x, c2#x]
+:           +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 +- SubqueryAlias t1
    +- View (`t1`, [c1#x,c2#x])
       +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -677,10 +677,10 @@ Project [c1#x, scalar-subquery#x [c1#x] AS scalarsubquery(c1)#xL]
 :     :     +- Project [c1#x, c2#x]
 :     :        +- Filter (outer(c1#x) = c1#x)
 :     :           +- SubqueryAlias t3
-:     :              +- CTERelationRef xxxx, true, [c1#x, c2#x]
+:     :              +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 :     +- Aggregate [sum(c2#x) AS sum(c2)#xL]
 :        +- SubqueryAlias t4
-:           +- CTERelationRef xxxx, true, [c1#x, c2#x]
+:           +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 +- SubqueryAlias t1
    +- View (`t1`, [c1#x,c2#x])
       +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -713,10 +713,10 @@ Project [c1#x, scalar-subquery#x [c1#x] AS scalarsubquery(c1)#xL]
 :                    +- Union false, false
 :                       :- Project [c1#x, c2#x]
 :                       :  +- SubqueryAlias t
-:                       :     +- CTERelationRef xxxx, true, [c1#x, c2#x]
+:                       :     +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 :                       +- Project [c2#x, c1#x]
 :                          +- SubqueryAlias t
-:                             +- CTERelationRef xxxx, true, [c1#x, c2#x]
+:                             +- CTERelationRef xxxx, true, [c1#x, c2#x], false
 +- SubqueryAlias t1
    +- View (`t1`, [c1#x,c2#x])
       +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -756,9 +756,9 @@ WithCTE
       :           :  +- Aggregate [sum(c2#x) AS sum(c2)#xL]
       :           :     +- Filter (c1#x = outer(c1#x))
       :           :        +- SubqueryAlias t
-      :           :           +- CTERelationRef xxxx, true, [c1#x, c2#x]
+      :           :           +- CTERelationRef xxxx, true, [c1#x, c2#x], false
       :           +- SubqueryAlias v
-      :              +- CTERelationRef xxxx, true, [c1#x, c2#x]
+      :              +- CTERelationRef xxxx, true, [c1#x, c2#x], false
       +- SubqueryAlias t1
          +- View (`t1`, [c1#x,c2#x])
             +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -779,7 +779,7 @@ WithCTE
    :  +- Project [a#x]
    :     +- Filter (a#x = outer(c1#x))
    :        +- SubqueryAlias t
-   :           +- CTERelationRef xxxx, true, [a#x]
+   :           +- CTERelationRef xxxx, true, [a#x], false
    +- SubqueryAlias t1
       +- View (`t1`, [c1#x,c2#x])
          +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
@@ -1027,7 +1027,7 @@ WithCTE
    :  +- Aggregate [sum(1) AS sum(1)#xL]
    :     +- Filter ((a#x = cast(outer(col#x) as int)) OR (upper(cast(outer(col#x) as string)) = Y))
    :        +- SubqueryAlias T
-   :           +- CTERelationRef xxxx, true, [a#x]
+   :           +- CTERelationRef xxxx, true, [a#x], false
    +- SubqueryAlias foo
       +- Project [null AS col#x]
          +- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
index cda76f716a8a8..ceca433a1c915 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
@@ -888,10 +888,10 @@ WithCTE
    +- Join Inner, (b#x = b#x)
       :- SubqueryAlias t1
       :  +- SubqueryAlias temp
-      :     +- CTERelationRef xxxx, true, [b#x]
+      :     +- CTERelationRef xxxx, true, [b#x], false
       +- SubqueryAlias t2
          +- SubqueryAlias temp
-            +- CTERelationRef xxxx, true, [b#x]
+            +- CTERelationRef xxxx, true, [b#x], false
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/using-join.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/using-join.sql.out
index 0fe7254d7348c..97410d3cdd369 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/using-join.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/using-join.sql.out
@@ -833,6 +833,6 @@ WithCTE
          +- Project [coalesce(key#x, key#x) AS key#x, key#x, key#x, key#x]
             +- Join FullOuter, (key#x = key#x)
                :- SubqueryAlias t1
-               :  +- CTERelationRef xxxx, true, [key#x]
+               :  +- CTERelationRef xxxx, true, [key#x], false
                +- SubqueryAlias t2
-                  +- CTERelationRef xxxx, true, [key#x]
+                  +- CTERelationRef xxxx, true, [key#x], false
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
index 4a6325eb06074..8565056cda6fa 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
@@ -39,7 +39,7 @@ import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{AnalysisException, Column, DataFrame, Dataset, Row, SaveMode}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Literal, Rand, Randn, Shuffle, Uuid}
-import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
+import org.apache.spark.sql.catalyst.plans.logical.{CTERelationDef, CTERelationRef, LocalRelation}
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Complete
 import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.connector.read.InputPartition
@@ -1318,6 +1318,51 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
     }
   }
 
+  test("SPARK-46062: streaming query reading from CTE, which refers to temp view from " +
+    "streaming source") {
+    val inputStream = MemoryStream[Int]
+    inputStream.toDF().createOrReplaceTempView("tv")
+
+    val df = spark.sql(
+      """
+        |WITH w as (
+        |  SELECT * FROM tv
+        |)
+        |SELECT value from w
+        |""".stripMargin)
+
+    testStream(df)(
+      AddData(inputStream, 1, 2, 3),
+      CheckAnswer(1, 2, 3),
+      Execute { q =>
+        var isStreamingForCteDef: Option[Boolean] = None
+        var isStreamingForCteRef: Option[Boolean] = None
+
+        q.analyzedPlan.foreach {
+          case d: CTERelationDef =>
+            assert(d.resolved, "The definition node must be resolved after analysis.")
+            isStreamingForCteDef = Some(d.isStreaming)
+
+          case d: CTERelationRef =>
+            assert(d.resolved, "The reference node must be marked as resolved after analysis.")
+            isStreamingForCteRef = Some(d.isStreaming)
+
+          case _ =>
+        }
+
+        assert(isStreamingForCteDef.isDefined && isStreamingForCteRef.isDefined,
+          "Both definition and reference for CTE should be available in analyzed plan.")
+
+        assert(isStreamingForCteDef.get, "Expected isStreaming=true for CTE definition, but " +
+          "isStreaming is set to false.")
+
+        assert(isStreamingForCteDef === isStreamingForCteRef,
+          "isStreaming flag should be carried over from definition to reference, " +
+            s"definition: ${isStreamingForCteDef.get}, reference: ${isStreamingForCteRef.get}.")
+      }
+    )
+  }
+
   private def checkExceptionMessage(df: DataFrame): Unit = {
     withTempDir { outputDir =>
       withTempDir { checkpointDir =>

From 351a5f8c004a449013ab25acbcfdd85e9e7868b8 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon.lee@databricks.com>
Date: Fri, 24 Nov 2023 19:38:31 +0900
Subject: [PATCH 499/986] [SPARK-46016][DOCS][PS] Fix pandas API support list
 properly

### What changes were proposed in this pull request?

This PR proposes to fix a critical issue in the [Supported pandas API documentation](https://spark.apache.org/docs/latest/api/python/user_guide/pandas_on_spark/supported_pandas_api.html) where many essential APIs such as `DataFrame.max`, `DataFrame.min`, `DataFrame.mean`, `and DataFrame.median`, etc. were incorrectly marked as not implemented - marked as "N" - as below:

<img width="291" alt="Screenshot 2023-11-24 at 12 37 49 PM" src="https://github.com/apache/spark/assets/44108233/95c5785c-711c-400c-b2ec-0db034e90fd8">

 The root cause of this issue was that the script used to generate the support list excluded functions inherited from parent classes. For instance, `CategoricalIndex.max` is actually supported by inheriting the `Index` class but was not directly implemented in `CategoricalIndex`, leading to it being marked as unsupported:

<img width="397" alt="Screenshot 2023-11-24 at 12 30 08 PM" src="https://github.com/apache/spark/assets/44108233/90e92996-a88a-4a20-bb0c-4909097e2688">

### Why are the changes needed?

The current documentation inaccurately represents the state of supported pandas API, which could significantly hinder user experience and adoption. By correcting these inaccuracies, we ensure that the documentation reflects the true capabilities of Pandas API on Spark, providing users with reliable and accurate information.

### Does this PR introduce _any_ user-facing change?

No. This PR only updates the documentation to accurately reflect the current state of supported pandas API.

### How was this patch tested?

Manually build documentation, and check if the supported pandas API list is correctly generated as below:

<img width="299" alt="Screenshot 2023-11-24 at 12 36 31 PM" src="https://github.com/apache/spark/assets/44108233/a2da0f0b-0973-45cb-b22d-9582bbeb51b5">

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43996 from itholic/fix_supported_api_gen.

Authored-by: Haejoon Lee <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 132bb63a897f4f4049f34deefc065ed3eac6a90f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/supported_api_gen.py | 16 ++--------------
 1 file changed, 2 insertions(+), 14 deletions(-)

diff --git a/python/pyspark/pandas/supported_api_gen.py b/python/pyspark/pandas/supported_api_gen.py
index 06591c5b26ad6..8c3cdec3671c1 100644
--- a/python/pyspark/pandas/supported_api_gen.py
+++ b/python/pyspark/pandas/supported_api_gen.py
@@ -138,23 +138,11 @@ def _create_supported_by_module(
         # module not implemented
         return {}
 
-    pd_funcs = dict(
-        [
-            m
-            for m in getmembers(pd_module, isfunction)
-            if not m[0].startswith("_") and m[0] in pd_module.__dict__
-        ]
-    )
+    pd_funcs = dict([m for m in getmembers(pd_module, isfunction) if not m[0].startswith("_")])
     if not pd_funcs:
         return {}
 
-    ps_funcs = dict(
-        [
-            m
-            for m in getmembers(ps_module, isfunction)
-            if not m[0].startswith("_") and m[0] in ps_module.__dict__
-        ]
-    )
+    ps_funcs = dict([m for m in getmembers(ps_module, isfunction) if not m[0].startswith("_")])
 
     return _organize_by_implementation_status(
         module_name, pd_funcs, ps_funcs, pd_module_group, ps_module_group

From 132c1a1f08d6555c950600c102db28b9d7581350 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 24 Nov 2023 17:31:22 -0800
Subject: [PATCH 500/986] [SPARK-46095][DOCS] Document `REST API` for Spark
 Standalone Cluster
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR aims to document `REST API` for Spark Standalone Cluster.

To help the users to understand Apache Spark features.

No.

Manual review. `REST API` Section is added newly.

**AFTER**

<img width="704" alt="Screenshot 2023-11-24 at 4 13 53 PM" src="https://github.com/apache/spark/assets/9700541/a4e09d94-d216-4629-8b37-9d350365a428">

No.

Closes #44007 from dongjoon-hyun/SPARK-46095.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/spark-standalone.md | 68 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 68 insertions(+)

diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index 9152547f1bec4..e7ea2669a1139 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -446,6 +446,8 @@ Spark applications supports the following configuration properties specific to s
 
 # Launching Spark Applications
 
+## Spark Protocol
+
 The [`spark-submit` script](submitting-applications.html) provides the most straightforward way to
 submit a compiled Spark application to the cluster. For standalone clusters, Spark currently
 supports two deploy modes. In `client` mode, the driver is launched in the same process as the
@@ -468,6 +470,72 @@ failing repeatedly, you may do so through:
 
 You can find the driver ID through the standalone Master web UI at `http://<master url>:8080`.
 
+## REST API
+
+If `spark.master.rest.enabled` is enabled, Spark master provides additional REST API
+via <code>http://[host:port]/[version]/submissions/[action]</code> where
+<code>host</code> is the master host, and
+<code>port</code> is the port number specified by `spark.master.rest.port` (default: 6066), and 
+<code>version</code> is a protocol version, <code>v1</code> as of today, and
+<code>action</code> is one of the following supported actions.
+
+<table class="table table-striped">
+  <thead><tr><th style="width:21%">Command</th><th>Description</th><th>HTTP METHOD</th><th>Since Version</th></tr></thead>
+  <tr>
+    <td><code>create</code></td>
+    <td>Create a Spark driver via <code>cluster</code> mode.</td>
+    <td>POST</td>
+    <td>1.3.0</td>
+  </tr>
+  <tr>
+    <td><code>kill</code></td>
+    <td>Kill a single Spark driver.</td>
+    <td>POST</td>
+    <td>1.3.0</td>
+  </tr>
+  <tr>
+    <td><code>status</code></td>
+    <td>Check the status of a Spark job.</td>
+    <td>GET</td>
+    <td>1.3.0</td>
+  </tr>
+</table>
+
+The following is a <code>curl</code> CLI command example with the `pi.py` and REST API.
+
+```bash
+$ curl -XPOST http://IP:PORT/v1/submissions/create \
+--header "Content-Type:application/json;charset=UTF-8" \
+--data '{
+  "appResource": "",
+  "sparkProperties": {
+    "spark.master": "spark://master:7077",
+    "spark.app.name": "Spark Pi",
+    "spark.driver.memory": "1g",
+    "spark.driver.cores": "1",
+    "spark.jars": ""
+  },
+  "clientSparkVersion": "",
+  "mainClass": "org.apache.spark.deploy.SparkSubmit",
+  "environmentVariables": { },
+  "action": "CreateSubmissionRequest",
+  "appArgs": [ "/opt/spark/examples/src/main/python/pi.py", "10" ]
+}'
+```
+
+The following is the response from the REST API for the above <code>create</code> request.
+
+```bash
+{
+  "action" : "CreateSubmissionResponse",
+  "message" : "Driver successfully submitted as driver-20231124153531-0000",
+  "serverSparkVersion" : "3.5.1",
+  "submissionId" : "driver-20231124153531-0000",
+  "success" : true
+}
+```
+
+
 # Resource Scheduling
 
 The standalone cluster mode currently only supports a simple FIFO scheduler across applications.

From e4731e9d3b4443f79a23e7d4bf5b749b54f2e1bb Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Sun, 26 Nov 2023 23:28:52 +0800
Subject: [PATCH 501/986] [SPARK-45974][SQL] Add scan.filterAttributes
 non-empty judgment for RowLevelOperationRuntimeGroupFiltering

### What changes were proposed in this pull request?

Add scan.filterAttributes non-empty judgment for RowLevelOperationRuntimeGroupFiltering.

### Why are the changes needed?

When scan.filterAttributes is empty, an invalid dynamic pruning condition will be generated in RowLevelOperationRuntimeGroupFiltering.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

added test case

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43869 from wForget/SPARK-45974.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit ade861d19910df724d9233df98c059ff9d57f795)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 ...wLevelOperationRuntimeGroupFiltering.scala |  4 ++-
 .../connector/MergeIntoTableSuiteBase.scala   | 32 +++++++++++++++++++
 2 files changed, 35 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala
index 7360349284ec1..479e9065c0712 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala
@@ -50,7 +50,8 @@ class RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[LogicalPla
     // apply special dynamic filtering only for group-based row-level operations
     case GroupBasedRowLevelOperation(replaceData, _, Some(cond),
         DataSourceV2ScanRelation(_, scan: SupportsRuntimeV2Filtering, _, _, _))
-        if conf.runtimeRowLevelOperationGroupFilterEnabled && cond != TrueLiteral =>
+        if conf.runtimeRowLevelOperationGroupFilterEnabled && cond != TrueLiteral
+          && scan.filterAttributes().nonEmpty =>
 
       // use reference equality on scan to find required scan relations
       val newQuery = replaceData.query transformUp {
@@ -115,6 +116,7 @@ class RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[LogicalPla
       matchingRowsPlan: LogicalPlan,
       buildKeys: Seq[Attribute],
       pruningKeys: Seq[Attribute]): Expression = {
+    assert(buildKeys.nonEmpty && pruningKeys.nonEmpty)
 
     val buildQuery = Aggregate(buildKeys, buildKeys, matchingRowsPlan)
     DynamicPruningExpression(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/MergeIntoTableSuiteBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/MergeIntoTableSuiteBase.scala
index e7555c23fa4fc..5668e5981910c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/MergeIntoTableSuiteBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/MergeIntoTableSuiteBase.scala
@@ -32,6 +32,38 @@ abstract class MergeIntoTableSuiteBase extends RowLevelOperationSuiteBase {
 
   import testImplicits._
 
+  test("SPARK-45974: merge into non filter attributes table") {
+    val tableName: String = "cat.ns1.non_partitioned_table"
+    withTable(tableName) {
+      withTempView("source") {
+        val sourceRows = Seq(
+          (1, 100, "hr"),
+          (2, 200, "finance"),
+          (3, 300, "hr"))
+        sourceRows.toDF("pk", "salary", "dep").createOrReplaceTempView("source")
+
+        sql(s"CREATE TABLE $tableName (pk INT NOT NULL, salary INT, dep STRING)".stripMargin)
+
+        val df = sql(
+          s"""MERGE INTO $tableName t
+             |USING (select * from source) s
+             |ON t.pk = s.pk
+             |WHEN MATCHED THEN
+             | UPDATE SET t.salary = s.salary
+             |WHEN NOT MATCHED THEN
+             | INSERT *
+             |""".stripMargin)
+
+        checkAnswer(
+          sql(s"SELECT * FROM $tableName"),
+          Seq(
+            Row(1, 100, "hr"), // insert
+            Row(2, 200, "finance"), // insert
+            Row(3, 300, "hr"))) // insert
+      }
+    }
+  }
+
   test("merge into empty table with NOT MATCHED clause") {
     withTempView("source") {
       createTable("pk INT NOT NULL, salary INT, dep STRING")

From 92b6619d3ffe3531ac7b11363bf68ad4a6cc8f1e Mon Sep 17 00:00:00 2001
From: Angerszhuuuu <angers.zhu@gmail.com>
Date: Tue, 28 Nov 2023 11:04:14 +0800
Subject: [PATCH 502/986] [SPARK-46006][YARN][FOLLOWUP] YarnAllocator set
 target executor number to 0 to cancel pending allocate request when driver
 stop

### What changes were proposed in this pull request?
YarnAllocator set target executor number to 0 to cancel pending allocate request when driver stop
Now for this issue we do:

1. AllocationFailure should not be treated as exitCausedByApp when driver is shutting down https://github.com/apache/spark/pull/38622
2. Avoid new allocation requests when sc.stop stuck https://github.com/apache/spark/pull/43906
3. Cancel pending allocation request, this pr https://github.com/apache/spark/pull/44036

### Why are the changes needed?
Avoid unnecessary allocate request

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
MT

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44036 from AngersZhuuuu/SPARK-46006-FOLLOWUP.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit dbc8756bdac823be42ed10bc011415f405905497)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/deploy/yarn/YarnAllocator.scala   | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
index f14fc9d5de461..5fccc8c9ff47c 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala
@@ -385,7 +385,10 @@ private[yarn] class YarnAllocator(
     this.hostToLocalTaskCountPerResourceProfileId = hostToLocalTaskCountPerResourceProfileId
 
     if (resourceProfileToTotalExecs.isEmpty) {
-      targetNumExecutorsPerResourceProfileId.clear()
+      // Set target executor number to 0 to cancel pending allocate request.
+      targetNumExecutorsPerResourceProfileId.keys.foreach { rp =>
+        targetNumExecutorsPerResourceProfileId(rp) = 0
+      }
       allocatorNodeHealthTracker.setSchedulerExcludedNodes(excludedNodes)
       true
     } else {

From 35ecb32e479a33a1454709d133c48295d6774f3b Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Wed, 29 Nov 2023 01:37:35 +0100
Subject: [PATCH 503/986] [SPARK-46029][SQL] Escape the single quote, `_` and
 `%` for DS V2 pushdown

### What changes were proposed in this pull request?
Spark supports push down `startsWith`, `endWith` and `contains` to JDBC database with DS V2 pushdown.
But the `V2ExpressionSQLBuilder` didn't escape the single quote, `_` and `%`, it can cause unexpected result.

### Why are the changes needed?
Escape the single quote, `_` and `%` for DS V2 pushdown

### Does this PR introduce _any_ user-facing change?
'No'.

### How was this patch tested?
Exists test cases.

### Was this patch authored or co-authored using generative AI tooling?
'No'.

Closes #43801 from beliefer/SPARK-38432_followup3.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d2cd98bdd32446b4106e66eb099efd8fb47acf40)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../util/V2ExpressionSQLBuilder.java          |  35 +++++-
 .../org/apache/spark/sql/jdbc/H2Dialect.scala |   8 ++
 .../datasources/v2/V2PredicateSuite.scala     |   6 +-
 .../apache/spark/sql/jdbc/JDBCV2Suite.scala   | 113 +++++++++++++++++-
 4 files changed, 151 insertions(+), 11 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
index 9ca0fe4787f10..dcb3c706946c5 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
@@ -48,6 +48,35 @@
  */
 public class V2ExpressionSQLBuilder {
 
+  /**
+   * Escape the special chars for like pattern.
+   *
+   * Note: This method adopts the escape representation within Spark and is not bound to any JDBC
+   * dialect. JDBC dialect should overwrite this API if the underlying database have more special
+   * chars other than _ and %.
+   */
+  protected String escapeSpecialCharsForLikePattern(String str) {
+    StringBuilder builder = new StringBuilder();
+
+    for (char c : str.toCharArray()) {
+      switch (c) {
+        case '_':
+          builder.append("\\_");
+          break;
+        case '%':
+          builder.append("\\%");
+          break;
+        case '\'':
+          builder.append("\\\'");
+          break;
+        default:
+          builder.append(c);
+      }
+    }
+
+    return builder.toString();
+  }
+
   public String build(Expression expr) {
     if (expr instanceof Literal) {
       return visitLiteral((Literal<?>) expr);
@@ -247,21 +276,21 @@ protected String visitStartsWith(String l, String r) {
     // Remove quotes at the beginning and end.
     // e.g. converts "'str'" to "str".
     String value = r.substring(1, r.length() - 1);
-    return l + " LIKE '" + value + "%'";
+    return l + " LIKE '" + escapeSpecialCharsForLikePattern(value) + "%' ESCAPE '\\'";
   }
 
   protected String visitEndsWith(String l, String r) {
     // Remove quotes at the beginning and end.
     // e.g. converts "'str'" to "str".
     String value = r.substring(1, r.length() - 1);
-    return l + " LIKE '%" + value + "'";
+    return l + " LIKE '%" + escapeSpecialCharsForLikePattern(value) + "' ESCAPE '\\'";
   }
 
   protected String visitContains(String l, String r) {
     // Remove quotes at the beginning and end.
     // e.g. converts "'str'" to "str".
     String value = r.substring(1, r.length() - 1);
-    return l + " LIKE '%" + value + "%'";
+    return l + " LIKE '%" + escapeSpecialCharsForLikePattern(value) + "%' ESCAPE '\\'";
   }
 
   private String inputToSQL(Expression input) {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
index c246b50f4e156..8471a49153ff4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
@@ -240,6 +240,14 @@ private[sql] object H2Dialect extends JdbcDialect {
   }
 
   class H2SQLBuilder extends JDBCSQLBuilder {
+    override def escapeSpecialCharsForLikePattern(str: String): String = {
+      str.map {
+        case '_' => "\\_"
+        case '%' => "\\%"
+        case c => c.toString
+      }.mkString
+    }
+
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
       if (isDistinct && distinctUnsupportedAggregateFunctions.contains(funcName)) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2PredicateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2PredicateSuite.scala
index a5fee51dc916f..4a8a231cc54ca 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2PredicateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2PredicateSuite.scala
@@ -315,7 +315,7 @@ class V2PredicateSuite extends SparkFunSuite {
       Array[Expression](ref("a"), literal))
     assert(predicate1.equals(predicate2))
     assert(predicate1.references.map(_.describe()).toSeq == Seq("a"))
-    assert(predicate1.describe.equals("a LIKE 'str%'"))
+    assert(predicate1.describe.equals(raw"a LIKE 'str%' ESCAPE '\'"))
 
     val v1Filter = StringStartsWith("a", "str")
     assert(v1Filter.toV2.equals(predicate1))
@@ -332,7 +332,7 @@ class V2PredicateSuite extends SparkFunSuite {
       Array[Expression](ref("a"), literal))
     assert(predicate1.equals(predicate2))
     assert(predicate1.references.map(_.describe()).toSeq == Seq("a"))
-    assert(predicate1.describe.equals("a LIKE '%str'"))
+    assert(predicate1.describe.equals(raw"a LIKE '%str' ESCAPE '\'"))
 
     val v1Filter = StringEndsWith("a", "str")
     assert(v1Filter.toV2.equals(predicate1))
@@ -349,7 +349,7 @@ class V2PredicateSuite extends SparkFunSuite {
       Array[Expression](ref("a"), literal))
     assert(predicate1.equals(predicate2))
     assert(predicate1.references.map(_.describe()).toSeq == Seq("a"))
-    assert(predicate1.describe.equals("a LIKE '%str%'"))
+    assert(predicate1.describe.equals(raw"a LIKE '%str%' ESCAPE '\'"))
 
     val v1Filter = StringContains("a", "str")
     assert(v1Filter.toV2.equals(predicate1))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
index ae0cfe17b11f5..51a15881088b5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
@@ -185,6 +185,19 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
       conn.prepareStatement("INSERT INTO \"test\".\"datetime\" VALUES " +
         "('alex', '2022-05-18', '2022-05-18 00:00:00')").executeUpdate()
 
+      conn.prepareStatement(
+        "CREATE TABLE \"test\".\"address\" (email TEXT(32) NOT NULL)").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"address\" VALUES " +
+        "('abc_def@gmail.com')").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"address\" VALUES " +
+        "('abc%def@gmail.com')").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"address\" VALUES " +
+        "('abc%_def@gmail.com')").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"address\" VALUES " +
+        "('abc_%def@gmail.com')").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"address\" VALUES " +
+        "('abc_''%def@gmail.com')").executeUpdate()
+
       conn.prepareStatement("CREATE TABLE \"test\".\"binary1\" (name TEXT(32),b BINARY(20))")
         .executeUpdate()
       val stmt = conn.prepareStatement("INSERT INTO \"test\".\"binary1\" VALUES (?, ?)")
@@ -1096,7 +1109,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
 
     val df3 = spark.table("h2.test.employee").filter($"name".startsWith("a"))
     checkFiltersRemoved(df3)
-    checkPushedInfo(df3, "PushedFilters: [NAME IS NOT NULL, NAME LIKE 'a%']")
+    checkPushedInfo(df3, raw"PushedFilters: [NAME IS NOT NULL, NAME LIKE 'a%' ESCAPE '\']")
     checkAnswer(df3, Seq(Row(1, "amy", 10000, 1000, true), Row(2, "alex", 12000, 1200, false)))
 
     val df4 = spark.table("h2.test.employee").filter($"is_manager")
@@ -1240,6 +1253,94 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     checkAnswer(df17, Seq(Row(6, "jen", 12000, 1200, true)))
   }
 
+  test("SPARK-38432: escape the single quote, _ and % for DS V2 pushdown") {
+    val df1 = spark.table("h2.test.address").filter($"email".startsWith("abc_"))
+    checkFiltersRemoved(df1)
+    checkPushedInfo(df1, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_%' ESCAPE '\']")
+    checkAnswer(df1,
+      Seq(Row("abc_%def@gmail.com"), Row("abc_'%def@gmail.com"), Row("abc_def@gmail.com")))
+
+    val df2 = spark.table("h2.test.address").filter($"email".startsWith("abc%"))
+    checkFiltersRemoved(df2)
+    checkPushedInfo(df2, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\%%' ESCAPE '\']")
+    checkAnswer(df2, Seq(Row("abc%_def@gmail.com"), Row("abc%def@gmail.com")))
+
+    val df3 = spark.table("h2.test.address").filter($"email".startsWith("abc%_"))
+    checkFiltersRemoved(df3)
+    checkPushedInfo(df3, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\%\_%' ESCAPE '\']")
+    checkAnswer(df3, Seq(Row("abc%_def@gmail.com")))
+
+    val df4 = spark.table("h2.test.address").filter($"email".startsWith("abc_%"))
+    checkFiltersRemoved(df4)
+    checkPushedInfo(df4, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_\%%' ESCAPE '\']")
+    checkAnswer(df4, Seq(Row("abc_%def@gmail.com")))
+
+    val df5 = spark.table("h2.test.address").filter($"email".startsWith("abc_'%"))
+    checkFiltersRemoved(df5)
+    checkPushedInfo(df5,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_\'\%%' ESCAPE '\']")
+    checkAnswer(df5, Seq(Row("abc_'%def@gmail.com")))
+
+    val df6 = spark.table("h2.test.address").filter($"email".endsWith("_def@gmail.com"))
+    checkFiltersRemoved(df6)
+    checkPushedInfo(df6,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_def@gmail.com' ESCAPE '\']")
+    checkAnswer(df6, Seq(Row("abc%_def@gmail.com"), Row("abc_def@gmail.com")))
+
+    val df7 = spark.table("h2.test.address").filter($"email".endsWith("%def@gmail.com"))
+    checkFiltersRemoved(df7)
+    checkPushedInfo(df7,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\%def@gmail.com' ESCAPE '\']")
+    checkAnswer(df7,
+      Seq(Row("abc%def@gmail.com"), Row("abc_%def@gmail.com"), Row("abc_'%def@gmail.com")))
+
+    val df8 = spark.table("h2.test.address").filter($"email".endsWith("%_def@gmail.com"))
+    checkFiltersRemoved(df8)
+    checkPushedInfo(df8,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\%\_def@gmail.com' ESCAPE '\']")
+    checkAnswer(df8, Seq(Row("abc%_def@gmail.com")))
+
+    val df9 = spark.table("h2.test.address").filter($"email".endsWith("_%def@gmail.com"))
+    checkFiltersRemoved(df9)
+    checkPushedInfo(df9,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_\%def@gmail.com' ESCAPE '\']")
+    checkAnswer(df9, Seq(Row("abc_%def@gmail.com")))
+
+    val df10 = spark.table("h2.test.address").filter($"email".endsWith("_'%def@gmail.com"))
+    checkFiltersRemoved(df10)
+    checkPushedInfo(df10,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_\'\%def@gmail.com' ESCAPE '\']")
+    checkAnswer(df10, Seq(Row("abc_'%def@gmail.com")))
+
+    val df11 = spark.table("h2.test.address").filter($"email".contains("c_d"))
+    checkFiltersRemoved(df11)
+    checkPushedInfo(df11, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_d%' ESCAPE '\']")
+    checkAnswer(df11, Seq(Row("abc_def@gmail.com")))
+
+    val df12 = spark.table("h2.test.address").filter($"email".contains("c%d"))
+    checkFiltersRemoved(df12)
+    checkPushedInfo(df12, raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\%d%' ESCAPE '\']")
+    checkAnswer(df12, Seq(Row("abc%def@gmail.com")))
+
+    val df13 = spark.table("h2.test.address").filter($"email".contains("c%_d"))
+    checkFiltersRemoved(df13)
+    checkPushedInfo(df13,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\%\_d%' ESCAPE '\']")
+    checkAnswer(df13, Seq(Row("abc%_def@gmail.com")))
+
+    val df14 = spark.table("h2.test.address").filter($"email".contains("c_%d"))
+    checkFiltersRemoved(df14)
+    checkPushedInfo(df14,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_\%d%' ESCAPE '\']")
+    checkAnswer(df14, Seq(Row("abc_%def@gmail.com")))
+
+    val df15 = spark.table("h2.test.address").filter($"email".contains("c_'%d"))
+    checkFiltersRemoved(df15)
+    checkPushedInfo(df15,
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_\'\%d%' ESCAPE '\']")
+    checkAnswer(df15, Seq(Row("abc_'%def@gmail.com")))
+  }
+
   test("scan with filter push-down with ansi mode") {
     Seq(false, true).foreach { ansiMode =>
       withSQLConf(SQLConf.ANSI_ENABLED.key -> ansiMode.toString) {
@@ -1325,10 +1426,11 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
         checkFiltersRemoved(df6, ansiMode)
         val expectedPlanFragment6 = if (ansiMode) {
           "PushedFilters: [BONUS IS NOT NULL, DEPT IS NOT NULL, " +
-            "CAST(BONUS AS string) LIKE '%30%', CAST(DEPT AS byte) > 1, " +
+            raw"CAST(BONUS AS string) LIKE '%30%' ESCAPE '\', CAST(DEPT AS byte) > 1, " +
             "CAST(DEPT AS short) > 1, CAST(BONUS AS decimal(20,2)) > 1200.00]"
         } else {
-          "PushedFilters: [BONUS IS NOT NULL, DEPT IS NOT NULL, CAST(BONUS AS string) LIKE '%30%']"
+          "PushedFilters: [BONUS IS NOT NULL, " +
+            raw"DEPT IS NOT NULL, CAST(BONUS AS string) LIKE '%30%' ESCAPE '\']"
         }
         checkPushedInfo(df6, expectedPlanFragment6)
         checkAnswer(df6, Seq(Row(2, "david", 10000, 1300, true)))
@@ -1538,8 +1640,9 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
 
   test("show tables") {
     checkAnswer(sql("SHOW TABLES IN h2.test"),
-      Seq(Row("test", "people", false), Row("test", "empty_table", false),
-        Row("test", "employee", false), Row("test", "item", false), Row("test", "dept", false),
+      Seq(Row("test", "address", false), Row("test", "people", false),
+        Row("test", "empty_table", false), Row("test", "employee", false),
+        Row("test", "item", false), Row("test", "dept", false),
         Row("test", "person", false), Row("test", "view1", false), Row("test", "view2", false),
         Row("test", "datetime", false), Row("test", "binary1", false)))
   }

From c2342ba0e4ded541916eeb3478a1db2c129d3130 Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Thu, 30 Nov 2023 11:07:47 +0900
Subject: [PATCH 504/986] [SPARK-45943][SQL] Move DetermineTableStats to
 resolution rules

### What changes were proposed in this pull request?

Move DetermineTableStats to resolution rules.

### Why are the changes needed?

`MergeIntoTable#sourceTable` is used for `ReplaceData#groupFilterCondition` in `RewriteMergeIntoTable`, SourceTable in  `ReplaceData#groupFilterCondition` is resolved and will not be applied to `DetermineTableStats` through `ResolveSubquery#resolveSubQueries`. So, when there is a hive table without stats in `MergeIntoTable#sourceTable`, IllegalStateException will occur.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

added test case

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #43867 from wForget/SPARK-45943.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d1aea92daf254334bcbd6d96901a54a2502eda29)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/hive/HiveSessionStateBuilder.scala    |  2 +-
 .../HiveSourceRowLevelOperationSuite.scala    | 72 +++++++++++++++++++
 2 files changed, 73 insertions(+), 1 deletion(-)
 create mode 100644 sql/hive/src/test/scala/org/apache/spark/sql/hive/connector/HiveSourceRowLevelOperationSuite.scala

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionStateBuilder.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionStateBuilder.scala
index 2d0bcdff07151..08e02c90ebd63 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionStateBuilder.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionStateBuilder.scala
@@ -92,11 +92,11 @@ class HiveSessionStateBuilder(
         new ResolveSessionCatalog(catalogManager) +:
         ResolveWriteToStream +:
         new EvalSubqueriesForTimeTravel +:
+        new DetermineTableStats(session) +:
         customResolutionRules
 
     override val postHocResolutionRules: Seq[Rule[LogicalPlan]] =
       DetectAmbiguousSelfJoin +:
-        new DetermineTableStats(session) +:
         RelationConversions(catalog) +:
         QualifyLocationWithWarehouse(catalog) +:
         PreprocessTableCreation(catalog) +:
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/connector/HiveSourceRowLevelOperationSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/connector/HiveSourceRowLevelOperationSuite.scala
new file mode 100644
index 0000000000000..344fdc21fe2cf
--- /dev/null
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/connector/HiveSourceRowLevelOperationSuite.scala
@@ -0,0 +1,72 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.hive.connector
+
+import org.scalatest.BeforeAndAfter
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.connector.catalog.InMemoryRowLevelOperationTableCatalog
+import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.test.SQLTestUtils
+
+class HiveSourceRowLevelOperationSuite extends QueryTest with TestHiveSingleton
+  with BeforeAndAfter with SQLTestUtils {
+
+  before {
+    spark.conf.set("spark.sql.catalog.cat", classOf[InMemoryRowLevelOperationTableCatalog].getName)
+  }
+
+  after {
+    spark.sessionState.catalogManager.reset()
+    spark.sessionState.conf.unsetConf("spark.sql.catalog.cat")
+  }
+
+  test("SPARK-45943: merge into using hive table without stats") {
+    val inMemCatNs = "cat.ns1"
+    val inMemCatTable = "in_mem_cat_table"
+    withTable("hive_table", s"$inMemCatNs.$inMemCatTable") {
+      // create hive table without stats
+      sql("create table hive_table(pk int, salary int, dep string)")
+
+      sql(
+        s"""
+           |create table $inMemCatNs.$inMemCatTable (
+           |  pk INT NOT NULL,
+           |  salary INT,
+           |  dep STRING)
+           |PARTITIONED BY (dep)
+           | """.stripMargin)
+
+      try {
+        // three-part naming is not supported in
+        // org.apache.spark.sql.hive.test.TestHiveQueryExecution.analyzed.{referencedTables}
+        sql(s"use $inMemCatNs")
+        sql(
+          s"""MERGE INTO $inMemCatTable t
+             |USING (SELECT pk, salary, dep FROM spark_catalog.default.hive_table) s
+             |ON t.pk = s.pk
+             |WHEN MATCHED THEN
+             | UPDATE SET t.salary = s.salary
+             |WHEN NOT MATCHED THEN
+             | INSERT *
+             |""".stripMargin)
+      } finally {
+        sql("use spark_catalog.default")
+      }
+    }
+  }
+}

From 00bb4ad46e373311a6303952f3944680b08e03d7 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 30 Nov 2023 14:56:48 -0800
Subject: [PATCH 505/986] [SPARK-46188][DOC][3.5] Fix the CSS of Spark doc's
 generated tables

### What changes were proposed in this pull request?

After https://github.com/apache/spark/pull/40269, there is no border in the generated tables of Spark doc(for example,  https://spark.apache.org/docs/latest/sql-ref-ansi-compliance.html) .  This PR is to fix it by restoring part of the table style in https://github.com/apache/spark/pull/40269/files#diff-309b964023ca899c9505205f36d3f4d5b36a6487e5c9b2e242204ee06bbc9ce9L26

This PR also unifies all the styles of tables by removing the `class="table table-striped"` in HTML style tables in markdown docs.

### Why are the changes needed?

Fix a regression in the table CSS of Spark docs

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manually build docs and verify.
Before changes:
<img width="931" alt="image" src="https://github.com/apache/spark/assets/1097932/1eb7abff-65af-4c4c-bbd5-9077f38c1b43">

After changes:
<img width="911" alt="image" src="https://github.com/apache/spark/assets/1097932/be77d4c6-1279-43ec-a234-b69ee02e3dc6">

### Was this patch authored or co-authored using generative AI tooling?

Generated-by: ChatGPT 4

Closes #44097 from gengliangwang/fixTable3.5.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/building-spark.md                        |  2 +-
 docs/cluster-overview.md                      |  2 +-
 docs/configuration.md                         | 40 +++++++++----------
 docs/css/custom.css                           | 13 ++++++
 docs/ml-classification-regression.md          | 14 +++----
 docs/ml-clustering.md                         |  8 ++--
 docs/mllib-classification-regression.md       |  2 +-
 docs/mllib-decision-tree.md                   |  2 +-
 docs/mllib-ensembles.md                       |  2 +-
 docs/mllib-evaluation-metrics.md              | 10 ++---
 docs/mllib-linear-methods.md                  |  4 +-
 docs/mllib-pmml-model-export.md               |  2 +-
 docs/monitoring.md                            | 10 ++---
 docs/rdd-programming-guide.md                 |  8 ++--
 docs/running-on-kubernetes.md                 |  8 ++--
 docs/running-on-mesos.md                      |  2 +-
 docs/running-on-yarn.md                       |  8 ++--
 docs/security.md                              | 26 ++++++------
 docs/spark-standalone.md                      | 12 +++---
 docs/sparkr.md                                |  6 +--
 docs/sql-data-sources-avro.md                 | 12 +++---
 docs/sql-data-sources-csv.md                  |  2 +-
 docs/sql-data-sources-hive-tables.md          |  4 +-
 docs/sql-data-sources-jdbc.md                 |  2 +-
 docs/sql-data-sources-json.md                 |  2 +-
 docs/sql-data-sources-load-save-functions.md  |  2 +-
 docs/sql-data-sources-orc.md                  |  4 +-
 docs/sql-data-sources-parquet.md              |  4 +-
 docs/sql-data-sources-text.md                 |  2 +-
 ...ql-distributed-sql-engine-spark-sql-cli.md |  4 +-
 docs/sql-error-conditions-sqlstates.md        | 26 ++++++------
 docs/sql-migration-guide.md                   |  4 +-
 docs/sql-performance-tuning.md                | 16 ++++----
 docs/storage-openstack-swift.md               |  2 +-
 docs/streaming-custom-receivers.md            |  2 +-
 docs/streaming-programming-guide.md           | 10 ++---
 .../structured-streaming-kafka-integration.md | 20 +++++-----
 .../structured-streaming-programming-guide.md | 12 +++---
 docs/submitting-applications.md               |  2 +-
 docs/web-ui.md                                |  2 +-
 40 files changed, 164 insertions(+), 151 deletions(-)

diff --git a/docs/building-spark.md b/docs/building-spark.md
index 4b8e70655d59c..33d253a49dbf3 100644
--- a/docs/building-spark.md
+++ b/docs/building-spark.md
@@ -286,7 +286,7 @@ If use an individual repository or a repository on GitHub Enterprise, export bel
 
 ### Related environment variables
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Variable Name</th><th>Default</th><th>Meaning</th></tr></thead>
 <tr>
   <td><code>SPARK_PROJECT_URL</code></td>
diff --git a/docs/cluster-overview.md b/docs/cluster-overview.md
index 7da06a852089e..34913bd97a418 100644
--- a/docs/cluster-overview.md
+++ b/docs/cluster-overview.md
@@ -91,7 +91,7 @@ The [job scheduling overview](job-scheduling.html) describes this in more detail
 
 The following table summarizes terms you'll see used to refer to cluster concepts:
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th style="width: 130px;">Term</th><th>Meaning</th></tr>
   </thead>
diff --git a/docs/configuration.md b/docs/configuration.md
index 4604360dda287..248f9333c9a3b 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -135,7 +135,7 @@ of the most common options to set are:
 
 ### Application Properties
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.app.name</code></td>
@@ -520,7 +520,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Runtime Environment
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.driver.extraClassPath</code></td>
@@ -907,7 +907,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Shuffle Behavior
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.reducer.maxSizeInFlight</code></td>
@@ -1282,7 +1282,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Spark UI
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.eventLog.logBlockUpdates.enabled</code></td>
@@ -1674,7 +1674,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Compression and Serialization
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.broadcast.compress</code></td>
@@ -1872,7 +1872,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Memory Management
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.memory.fraction</code></td>
@@ -1997,7 +1997,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Execution Behavior
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.broadcast.blockSize</code></td>
@@ -2247,7 +2247,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Executor Metrics
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.eventLog.logStageExecutorMetrics</code></td>
@@ -2315,7 +2315,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Networking
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.rpc.message.maxSize</code></td>
@@ -2478,7 +2478,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Scheduling
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.cores.max</code></td>
@@ -2962,7 +2962,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Barrier Execution Mode
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.barrier.sync.timeout</code></td>
@@ -3009,7 +3009,7 @@ Apart from these, the following properties are also available, and may be useful
 
 ### Dynamic Allocation
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.dynamicAllocation.enabled</code></td>
@@ -3151,7 +3151,7 @@ finer granularity starting from driver and executor. Take RPC module as example
 like shuffle, just replace "rpc" with "shuffle" in the property names except
 <code>spark.{driver|executor}.rpc.netty.dispatcher.numThreads</code>, which is only for RPC module.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.{driver|executor}.rpc.io.serverThreads</code></td>
@@ -3294,7 +3294,7 @@ External users can query the static sql config values via `SparkSession.conf` or
 
 ### Spark Streaming
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.streaming.backpressure.enabled</code></td>
@@ -3426,7 +3426,7 @@ External users can query the static sql config values via `SparkSession.conf` or
 
 ### SparkR
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.r.numRBackendThreads</code></td>
@@ -3482,7 +3482,7 @@ External users can query the static sql config values via `SparkSession.conf` or
 
 ### GraphX
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.graphx.pregel.checkpointInterval</code></td>
@@ -3497,7 +3497,7 @@ External users can query the static sql config values via `SparkSession.conf` or
 
 ### Deploy
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.deploy.recoveryMode</code></td>
@@ -3547,7 +3547,7 @@ copy `conf/spark-env.sh.template` to create it. Make sure you make the copy exec
 The following variables can be set in `spark-env.sh`:
 
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">Environment Variable</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>JAVA_HOME</code></td>
@@ -3684,7 +3684,7 @@ Push-based shuffle helps improve the reliability and performance of spark shuffl
 
 ### External Shuffle service(server) side configuration options
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.shuffle.push.server.mergedShuffleFileManagerImpl</code></td>
@@ -3718,7 +3718,7 @@ Push-based shuffle helps improve the reliability and performance of spark shuffl
 
 ### Client side configuration options
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.shuffle.push.enabled</code></td>
diff --git a/docs/css/custom.css b/docs/css/custom.css
index 4576f45d1ab7d..e7416d9ded618 100644
--- a/docs/css/custom.css
+++ b/docs/css/custom.css
@@ -1110,5 +1110,18 @@ img {
 table {
   width: 100%;
   overflow-wrap: normal;
+  border-collapse: collapse; /* Ensures that the borders collapse into a single border */
 }
 
+table th, table td {
+  border: 1px solid #cccccc; /* Adds a border to each table header and data cell */
+  padding: 6px 13px; /* Optional: Adds padding inside each cell for better readability */
+}
+
+table tr {
+  background-color: white; /* Sets a default background color for all rows */
+}
+
+table tr:nth-child(2n) {
+  background-color: #F1F4F5; /* Sets a different background color for even rows */
+}
diff --git a/docs/ml-classification-regression.md b/docs/ml-classification-regression.md
index d184f4fe0257c..604b3245272fc 100644
--- a/docs/ml-classification-regression.md
+++ b/docs/ml-classification-regression.md
@@ -703,7 +703,7 @@ others.
 
 ###  Available families
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th>Family</th>
@@ -1224,7 +1224,7 @@ All output columns are optional; to exclude an output column, set its correspond
 
 ### Input Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -1251,7 +1251,7 @@ All output columns are optional; to exclude an output column, set its correspond
 
 ### Output Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -1326,7 +1326,7 @@ All output columns are optional; to exclude an output column, set its correspond
 
 #### Input Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -1353,7 +1353,7 @@ All output columns are optional; to exclude an output column, set its correspond
 
 #### Output Columns (Predictions)
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -1407,7 +1407,7 @@ All output columns are optional; to exclude an output column, set its correspond
 
 #### Input Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -1436,7 +1436,7 @@ Note that `GBTClassifier` currently only supports binary labels.
 
 #### Output Columns (Predictions)
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
diff --git a/docs/ml-clustering.md b/docs/ml-clustering.md
index 00a156b6645ce..fdb8173ce3bbe 100644
--- a/docs/ml-clustering.md
+++ b/docs/ml-clustering.md
@@ -40,7 +40,7 @@ called [kmeans||](http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf).
 
 ### Input Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -61,7 +61,7 @@ called [kmeans||](http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf).
 
 ### Output Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -204,7 +204,7 @@ model.
 
 ### Input Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
@@ -225,7 +225,7 @@ model.
 
 ### Output Columns
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th align="left">Param name</th>
diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md
index 10cb85e392029..b3305314abc56 100644
--- a/docs/mllib-classification-regression.md
+++ b/docs/mllib-classification-regression.md
@@ -26,7 +26,7 @@ classification](http://en.wikipedia.org/wiki/Multiclass_classification), and
 [regression analysis](http://en.wikipedia.org/wiki/Regression_analysis). The table below outlines
 the supported algorithms for each type of problem.
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Problem Type</th><th>Supported Methods</th></tr>
   </thead>
diff --git a/docs/mllib-decision-tree.md b/docs/mllib-decision-tree.md
index 174255c48b699..0d9886315e288 100644
--- a/docs/mllib-decision-tree.md
+++ b/docs/mllib-decision-tree.md
@@ -51,7 +51,7 @@ The *node impurity* is a measure of the homogeneity of the labels at the node. T
 implementation provides two impurity measures for classification (Gini impurity and entropy) and one
 impurity measure for regression (variance).
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Impurity</th><th>Task</th><th>Formula</th><th>Description</th></tr>
   </thead>
diff --git a/docs/mllib-ensembles.md b/docs/mllib-ensembles.md
index b1006f2730db5..fdad7ae68dd49 100644
--- a/docs/mllib-ensembles.md
+++ b/docs/mllib-ensembles.md
@@ -191,7 +191,7 @@ Note that each loss is applicable to one of classification or regression, not bo
 
 Notation: $N$ = number of instances. $y_i$ = label of instance $i$.  $x_i$ = features of instance $i$.  $F(x_i)$ = model's predicted label for instance $i$.
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Loss</th><th>Task</th><th>Formula</th><th>Description</th></tr>
   </thead>
diff --git a/docs/mllib-evaluation-metrics.md b/docs/mllib-evaluation-metrics.md
index f82f6a01136b9..30acc3dc634be 100644
--- a/docs/mllib-evaluation-metrics.md
+++ b/docs/mllib-evaluation-metrics.md
@@ -76,7 +76,7 @@ plots (recall, false positive rate) points.
 
 **Available metrics**
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Metric</th><th>Definition</th></tr>
   </thead>
@@ -179,7 +179,7 @@ For this section, a modified delta function $\hat{\delta}(x)$ will prove useful
 
 $$\hat{\delta}(x) = \begin{cases}1 & \text{if $x = 0$}, \\ 0 & \text{otherwise}.\end{cases}$$
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Metric</th><th>Definition</th></tr>
   </thead>
@@ -296,7 +296,7 @@ The following definition of indicator function $I_A(x)$ on a set $A$ will be nec
 
 $$I_A(x) = \begin{cases}1 & \text{if $x \in A$}, \\ 0 & \text{otherwise}.\end{cases}$$
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Metric</th><th>Definition</th></tr>
   </thead>
@@ -447,7 +447,7 @@ documents, returns a relevance score for the recommended document.
 
 $$rel_D(r) = \begin{cases}1 & \text{if $r \in D$}, \\ 0 & \text{otherwise}.\end{cases}$$
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Metric</th><th>Definition</th><th>Notes</th></tr>
   </thead>
@@ -553,7 +553,7 @@ variable from a number of independent variables.
 
 **Available metrics**
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>Metric</th><th>Definition</th></tr>
   </thead>
diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md
index b535d2de307a9..448d881f794a5 100644
--- a/docs/mllib-linear-methods.md
+++ b/docs/mllib-linear-methods.md
@@ -72,7 +72,7 @@ training error) and minimizing model complexity (i.e., to avoid overfitting).
 The following table summarizes the loss functions and their gradients or sub-gradients for the
 methods `spark.mllib` supports:
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th></th><th>loss function $L(\wv; \x, y)$</th><th>gradient or sub-gradient</th></tr>
   </thead>
@@ -105,7 +105,7 @@ The purpose of the
 encourage simple models and avoid overfitting.  We support the following
 regularizers in `spark.mllib`:
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th></th><th>regularizer $R(\wv)$</th><th>gradient or sub-gradient</th></tr>
   </thead>
diff --git a/docs/mllib-pmml-model-export.md b/docs/mllib-pmml-model-export.md
index e20d7c2fe4e17..02b5fda7a36df 100644
--- a/docs/mllib-pmml-model-export.md
+++ b/docs/mllib-pmml-model-export.md
@@ -28,7 +28,7 @@ license: |
 
 The table below outlines the `spark.mllib` models that can be exported to PMML and their equivalent PMML model.
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr><th>spark.mllib model</th><th>PMML model</th></tr>
   </thead>
diff --git a/docs/monitoring.md b/docs/monitoring.md
index 91b158bf85d26..e90ef46bdffe0 100644
--- a/docs/monitoring.md
+++ b/docs/monitoring.md
@@ -69,7 +69,7 @@ The history server can be configured as follows:
 
 ### Environment Variables
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">Environment Variable</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>SPARK_DAEMON_MEMORY</code></td>
@@ -145,7 +145,7 @@ Use it with caution.
 Security options for the Spark History Server are covered more detail in the
 [Security](security.html#web-ui) page.
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Property Name</th>
@@ -470,7 +470,7 @@ only for applications in cluster mode, not applications in client mode. Applicat
 can be identified by their `[attempt-id]`. In the API listed below, when running in YARN cluster mode,
 `[app-id]` will actually be `[base-app-id]/[attempt-id]`, where `[base-app-id]` is the YARN application ID.
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Endpoint</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>/applications</code></td>
@@ -669,7 +669,7 @@ The REST API exposes the values of the Task Metrics collected by Spark executors
 of task execution. The metrics can be used for performance troubleshooting and workload characterization.
 A list of the available metrics, with a short description:
 
-<table class="table table-striped">
+<table>
   <thead>
     <tr>
       <th>Spark Executor Task Metric name</th>
@@ -827,7 +827,7 @@ In addition, aggregated per-stage peak values of the executor memory metrics are
 Executor memory metrics are also exposed via the Spark metrics system based on the [Dropwizard metrics library](https://metrics.dropwizard.io/4.2.0).
 A list of the available metrics, with a short description:
 
-<table class="table table-striped">
+<table>
   <thead>
       <tr><th>Executor Level Metric name</th>
       <th>Short description</th>
diff --git a/docs/rdd-programming-guide.md b/docs/rdd-programming-guide.md
index aee22ad484e60..cc897aea06c93 100644
--- a/docs/rdd-programming-guide.md
+++ b/docs/rdd-programming-guide.md
@@ -378,7 +378,7 @@ resulting Java objects using [pickle](https://github.com/irmen/pickle/). When sa
 PySpark does the reverse. It unpickles Python objects into Java objects and then converts them to Writables. The following
 Writables are automatically converted:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Writable Type</th><th>Python Type</th></tr></thead>
 <tr><td>Text</td><td>str</td></tr>
 <tr><td>IntWritable</td><td>int</td></tr>
@@ -954,7 +954,7 @@ and pair RDD functions doc
  [Java](api/java/index.html?org/apache/spark/api/java/JavaPairRDD.html))
 for details.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th style="width:25%">Transformation</th><th>Meaning</th></tr></thead>
 <tr>
   <td> <b>map</b>(<i>func</i>) </td>
@@ -1069,7 +1069,7 @@ and pair RDD functions doc
  [Java](api/java/index.html?org/apache/spark/api/java/JavaPairRDD.html))
 for details.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Action</th><th>Meaning</th></tr></thead>
 <tr>
   <td> <b>reduce</b>(<i>func</i>) </td>
@@ -1214,7 +1214,7 @@ to `persist()`. The `cache()` method is a shorthand for using the default storag
 which is `StorageLevel.MEMORY_ONLY` (store deserialized objects in memory). The full set of
 storage levels is:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th style="width:23%">Storage Level</th><th>Meaning</th></tr></thead>
 <tr>
   <td> MEMORY_ONLY </td>
diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index 38a745f1afca3..a684e7caa1a04 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -579,7 +579,7 @@ See the [configuration page](configuration.html) for information on Spark config
 
 #### Spark Properties
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.kubernetes.context</code></td>
@@ -1645,7 +1645,7 @@ See the below table for the full list of pod specifications that will be overwri
 
 ### Pod Metadata
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Pod metadata key</th><th>Modified value</th><th>Description</th></tr></thead>
 <tr>
   <td>name</td>
@@ -1681,7 +1681,7 @@ See the below table for the full list of pod specifications that will be overwri
 
 ### Pod Spec
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Pod spec key</th><th>Modified value</th><th>Description</th></tr></thead>
 <tr>
   <td>imagePullSecrets</td>
@@ -1734,7 +1734,7 @@ See the below table for the full list of pod specifications that will be overwri
 
 The following affect the driver and executor containers. All other containers in the pod spec will be unaffected.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Container spec key</th><th>Modified value</th><th>Description</th></tr></thead>
 <tr>
   <td>env</td>
diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md
index b1a54a089a542..3d1c57030982d 100644
--- a/docs/running-on-mesos.md
+++ b/docs/running-on-mesos.md
@@ -374,7 +374,7 @@ See the [configuration page](configuration.html) for information on Spark config
 
 #### Spark Properties
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.mesos.coarse</code></td>
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 97cc9ac135af1..d577b70a68039 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -143,7 +143,7 @@ To use a custom metrics.properties for the application master and executors, upd
 
 #### Spark Properties
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.yarn.am.memory</code></td>
@@ -696,7 +696,7 @@ To use a custom metrics.properties for the application master and executors, upd
 
 #### Available patterns for SHS custom executor log URL
 
-<table class="table table-striped">
+<table>
     <thead><tr><th>Pattern</th><th>Meaning</th></tr></thead>
     <tr>
       <td>&#123;&#123;HTTP_SCHEME&#125;&#125;</td>
@@ -783,7 +783,7 @@ staging directory of the Spark application.
 
 ## YARN-specific Kerberos Configuration
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.kerberos.keytab</code></td>
@@ -882,7 +882,7 @@ to avoid garbage collection issues during shuffle.
 
 The following extra configuration options are available when the shuffle service is running on YARN:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr></thead>
 <tr>
   <td><code>spark.yarn.shuffle.stopOnFailure</code></td>
diff --git a/docs/security.md b/docs/security.md
index 3c6fd507fec6d..c5d132f680a41 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -60,7 +60,7 @@ distributing the shared secret. Each application will use a unique shared secret
 the case of YARN, this feature relies on YARN RPC encryption being enabled for the distribution of
 secrets to be secure.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.yarn.shuffle.server.recovery.disabled</code></td>
@@ -82,7 +82,7 @@ that any user that can list pods in the namespace where the Spark application is
 also see their authentication secret. Access control rules should be properly set up by the
 Kubernetes admin to ensure that Spark authentication is secure.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.authenticate</code></td>
@@ -103,7 +103,7 @@ Kubernetes admin to ensure that Spark authentication is secure.
 Alternatively, one can mount authentication secrets using files and Kubernetes secrets that
 the user mounts into their pods.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.authenticate.secret.file</code></td>
@@ -159,7 +159,7 @@ is still required when talking to shuffle services from Spark versions older tha
 
 The following table describes the different options available for configuring this feature.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.network.crypto.enabled</code></td>
@@ -219,7 +219,7 @@ encrypting output data generated by applications with APIs such as `saveAsHadoop
 
 The following settings cover enabling encryption for data written to disk:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.io.encryption.enabled</code></td>
@@ -287,7 +287,7 @@ below.
 
 The following options control the authentication of Web UIs:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.ui.allowFramingFrom</code></td>
@@ -391,7 +391,7 @@ servlet filters.
 
 To enable authorization in the SHS, a few extra options are used:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.history.ui.acls.enable</code></td>
@@ -440,7 +440,7 @@ protocol-specific settings. This way the user can easily provide the common sett
 protocols without disabling the ability to configure each one individually. The following table
 describes the SSL configuration namespaces:
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Config Namespace</th>
@@ -471,7 +471,7 @@ describes the SSL configuration namespaces:
 The full breakdown of available SSL options can be found below. The `${ns}` placeholder should be
 replaced with one of the above namespaces.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>${ns}.enabled</code></td>
@@ -641,7 +641,7 @@ Apache Spark can be configured to include HTTP headers to aid in preventing Cros
 (XSS), Cross-Frame Scripting (XFS), MIME-Sniffing, and also to enforce HTTP Strict Transport
 Security.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.ui.xXssProtection</code></td>
@@ -697,7 +697,7 @@ configure those ports.
 
 ## Standalone mode only
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>From</th><th>To</th><th>Default Port</th><th>Purpose</th><th>Configuration
@@ -748,7 +748,7 @@ configure those ports.
 
 ## All cluster managers
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>From</th><th>To</th><th>Default Port</th><th>Purpose</th><th>Configuration
@@ -824,7 +824,7 @@ deployment-specific page for more information.
 
 The following options provides finer-grained control for this feature:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.security.credentials.${service}.enabled</code></td>
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index e7ea2669a1139..5babac9e25295 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -53,7 +53,7 @@ You should see the new node listed there, along with its number of CPUs and memo
 
 Finally, the following configuration options can be passed to the master and worker:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">Argument</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>-h HOST</code>, <code>--host HOST</code></td>
@@ -116,7 +116,7 @@ Note that these scripts must be executed on the machine you want to run the Spar
 
 You can optionally configure the cluster further by setting environment variables in `conf/spark-env.sh`. Create this file by starting with the `conf/spark-env.sh.template`, and _copy it to all your worker machines_ for the settings to take effect. The following settings are available:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">Environment Variable</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>SPARK_MASTER_HOST</code></td>
@@ -188,7 +188,7 @@ You can optionally configure the cluster further by setting environment variable
 
 SPARK_MASTER_OPTS supports the following system properties:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.master.ui.port</code></td>
@@ -324,7 +324,7 @@ SPARK_MASTER_OPTS supports the following system properties:
 
 SPARK_WORKER_OPTS supports the following system properties:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.worker.cleanup.enabled</code></td>
@@ -429,7 +429,7 @@ You can also pass an option `--total-executor-cores <numCores>` to control the n
 
 Spark applications supports the following configuration properties specific to standalone mode:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">Property Name</th><th>Default Value</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
   <td><code>spark.standalone.submit.waitAppCompletion</code></td>
@@ -646,7 +646,7 @@ ZooKeeper is the best way to go for production-level high availability, but if y
 
 In order to enable this recovery mode, you can set SPARK_DAEMON_JAVA_OPTS in spark-env using this configuration:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th style="width:21%">System property</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.deploy.recoveryMode</code></td>
diff --git a/docs/sparkr.md b/docs/sparkr.md
index 8e6a98e40b680..a34a1200c4c00 100644
--- a/docs/sparkr.md
+++ b/docs/sparkr.md
@@ -77,7 +77,7 @@ sparkR.session(master = "local[*]", sparkConfig = list(spark.driver.memory = "2g
 
 The following Spark driver properties can be set in `sparkConfig` with `sparkR.session` from RStudio:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Property Name</th><th>Property group</th><th><code>spark-submit</code> equivalent</th></tr></thead>
   <tr>
     <td><code>spark.master</code></td>
@@ -588,7 +588,7 @@ The following example shows how to save/load a MLlib model by SparkR.
 {% include_example read_write r/ml/ml.R %}
 
 # Data type mapping between R and Spark
-<table class="table table-striped">
+<table>
 <thead><tr><th>R</th><th>Spark</th></tr></thead>
 <tr>
   <td>byte</td>
@@ -728,7 +728,7 @@ function is masking another function.
 
 The following functions are masked by the SparkR package:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Masked function</th><th>How to Access</th></tr></thead>
   <tr>
     <td><code>cov</code> in <code>package:stats</code></td>
diff --git a/docs/sql-data-sources-avro.md b/docs/sql-data-sources-avro.md
index b01174b918245..c846116ebf3e3 100644
--- a/docs/sql-data-sources-avro.md
+++ b/docs/sql-data-sources-avro.md
@@ -233,7 +233,7 @@ Data source options of Avro can be set via:
  * the `.option` method on `DataFrameReader` or `DataFrameWriter`.
  * the `options` parameter in function `from_avro`.
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th><th><b>Since Version</b></th></tr></thead>
   <tr>
     <td><code>avroSchema</code></td>
@@ -331,7 +331,7 @@ Data source options of Avro can be set via:
 
 ## Configuration
 Configuration of Avro can be done using the `setConf` method on SparkSession or by running `SET key=value` commands using SQL.
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Since Version</b></th></tr></thead>
   <tr>
     <td>spark.sql.legacy.replaceDatabricksSparkAvro.enabled</td>
@@ -418,7 +418,7 @@ Submission Guide for more details.
 
 ## Supported types for Avro -> Spark SQL conversion
 Currently Spark supports reading all [primitive types](https://avro.apache.org/docs/1.11.2/specification/#primitive-types) and [complex types](https://avro.apache.org/docs/1.11.2/specification/#complex-types) under records of Avro.
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
     <td>boolean</td>
@@ -483,7 +483,7 @@ All other union types are considered complex. They will be mapped to StructType
 
 It also supports reading the following Avro [logical types](https://avro.apache.org/docs/1.11.2/specification/#logical-types):
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Avro logical type</b></th><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
     <td>date</td>
@@ -516,7 +516,7 @@ At the moment, it ignores docs, aliases and other properties present in the Avro
 ## Supported types for Spark SQL -> Avro conversion
 Spark supports writing of all Spark SQL types into Avro. For most types, the mapping from Spark types to Avro types is straightforward (e.g. IntegerType gets converted to int); however, there are a few special cases which are listed below:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th><b>Spark SQL type</b></th><th><b>Avro type</b></th><th><b>Avro logical type</b></th></tr></thead>
   <tr>
     <td>ByteType</td>
@@ -552,7 +552,7 @@ Spark supports writing of all Spark SQL types into Avro. For most types, the map
 
 You can also specify the whole output Avro schema with the option `avroSchema`, so that Spark SQL types can be converted into other Avro types. The following conversions are not applied by default and require user specified Avro schema:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Spark SQL type</b></th><th><b>Avro type</b></th><th><b>Avro logical type</b></th></tr></thead>
   <tr>
     <td>BinaryType</td>
diff --git a/docs/sql-data-sources-csv.md b/docs/sql-data-sources-csv.md
index 31167f5514302..241aae3571221 100644
--- a/docs/sql-data-sources-csv.md
+++ b/docs/sql-data-sources-csv.md
@@ -52,7 +52,7 @@ Data source options of CSV can be set via:
 * `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html)
 
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <td><code>sep</code></td>
diff --git a/docs/sql-data-sources-hive-tables.md b/docs/sql-data-sources-hive-tables.md
index 0de573ec64b89..13cd8fc2cc056 100644
--- a/docs/sql-data-sources-hive-tables.md
+++ b/docs/sql-data-sources-hive-tables.md
@@ -75,7 +75,7 @@ format("serde", "input format", "output format"), e.g. `CREATE TABLE src(id int)
 By default, we will read the table files as plain text. Note that, Hive storage handler is not supported yet when
 creating table, you can create a table using storage handler at Hive side, and use Spark SQL to read it.
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Property Name</th><th>Meaning</th></tr></thead>
   <tr>
     <td><code>fileFormat</code></td>
@@ -123,7 +123,7 @@ will compile against built-in Hive and use those classes for internal execution
 
 The following options can be used to configure the version of Hive that is used to retrieve metadata:
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.sql.hive.metastore.version</code></td>
diff --git a/docs/sql-data-sources-jdbc.md b/docs/sql-data-sources-jdbc.md
index f96776514c672..edcdef4bf0084 100644
--- a/docs/sql-data-sources-jdbc.md
+++ b/docs/sql-data-sources-jdbc.md
@@ -51,7 +51,7 @@ For connection properties, users can specify the JDBC connection properties in t
 <code>user</code> and <code>password</code> are normally provided as connection properties for
 logging into the data sources.
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <td><code>url</code></td>
diff --git a/docs/sql-data-sources-json.md b/docs/sql-data-sources-json.md
index 881a69cb1cea4..4ade5170a6d81 100644
--- a/docs/sql-data-sources-json.md
+++ b/docs/sql-data-sources-json.md
@@ -109,7 +109,7 @@ Data source options of JSON can be set via:
   * `schema_of_json`
 * `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html)
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <!-- TODO(SPARK-35433): Add timeZone to Data Source Option for CSV, too. -->
diff --git a/docs/sql-data-sources-load-save-functions.md b/docs/sql-data-sources-load-save-functions.md
index 9d0a3f9c72b9a..31f6d944bc972 100644
--- a/docs/sql-data-sources-load-save-functions.md
+++ b/docs/sql-data-sources-load-save-functions.md
@@ -218,7 +218,7 @@ present. It is important to realize that these save modes do not utilize any loc
 atomic. Additionally, when performing an `Overwrite`, the data will be deleted before writing out the
 new data.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Scala/Java</th><th>Any Language</th><th>Meaning</th></tr></thead>
 <tr>
   <td><code>SaveMode.ErrorIfExists</code> (default)</td>
diff --git a/docs/sql-data-sources-orc.md b/docs/sql-data-sources-orc.md
index 4e492598f595d..561f601aa4e56 100644
--- a/docs/sql-data-sources-orc.md
+++ b/docs/sql-data-sources-orc.md
@@ -129,7 +129,7 @@ When reading from Hive metastore ORC tables and inserting to Hive metastore ORC
 
 ### Configuration
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Since Version</b></th></tr></thead>
   <tr>
     <td><code>spark.sql.orc.impl</code></td>
@@ -230,7 +230,7 @@ Data source options of ORC can be set via:
   * `DataStreamWriter`
 * `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html)
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <td><code>mergeSchema</code></td>
diff --git a/docs/sql-data-sources-parquet.md b/docs/sql-data-sources-parquet.md
index 925e47504e5ef..f49bbd7a9d042 100644
--- a/docs/sql-data-sources-parquet.md
+++ b/docs/sql-data-sources-parquet.md
@@ -386,7 +386,7 @@ Data source options of Parquet can be set via:
   * `DataStreamWriter`
 * `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html)
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <td><code>datetimeRebaseMode</code></td>
@@ -434,7 +434,7 @@ Other generic options can be found in <a href="https://spark.apache.org/docs/lat
 Configuration of Parquet can be done using the `setConf` method on `SparkSession` or by running
 `SET key=value` commands using SQL.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.sql.parquet.binaryAsString</code></td>
diff --git a/docs/sql-data-sources-text.md b/docs/sql-data-sources-text.md
index bb485d29c396a..aed8a2e9942fb 100644
--- a/docs/sql-data-sources-text.md
+++ b/docs/sql-data-sources-text.md
@@ -47,7 +47,7 @@ Data source options of text can be set via:
   *  `DataStreamWriter`
 *  `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html)
 
-<table class="table table-striped">
+<table>
   <thead><tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr></thead>
   <tr>
     <td><code>wholetext</code></td>
diff --git a/docs/sql-distributed-sql-engine-spark-sql-cli.md b/docs/sql-distributed-sql-engine-spark-sql-cli.md
index a67e009b9ae10..6d506cbb09c21 100644
--- a/docs/sql-distributed-sql-engine-spark-sql-cli.md
+++ b/docs/sql-distributed-sql-engine-spark-sql-cli.md
@@ -62,7 +62,7 @@ For example: `/path/to/spark-sql-cli.sql` equals to `file:///path/to/spark-sql-c
 
 ## Supported comment types
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Comment</th><th>Example</th></tr></thead>
 <tr>
   <td>simple comment</td>
@@ -115,7 +115,7 @@ Use `;` (semicolon) to terminate commands. Notice:
    ```
    However, if ';' is the end of the line, it terminates the SQL statement. The example above will be terminated into  `/* This is a comment contains ` and `*/ SELECT 1`, Spark will submit these two commands separated and throw parser error (`unclosed bracketed comment` and `Syntax error at or near '*/'`).
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Command</th><th>Description</th></tr></thead>
 <tr>
   <td><code>quit</code> or <code>exit</code></td>
diff --git a/docs/sql-error-conditions-sqlstates.md b/docs/sql-error-conditions-sqlstates.md
index 5529c961b3bfb..49cfb56b36626 100644
--- a/docs/sql-error-conditions-sqlstates.md
+++ b/docs/sql-error-conditions-sqlstates.md
@@ -33,7 +33,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 
 ## Class `0A`: feature not supported
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>0A000</td>
@@ -48,7 +48,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `21`: cardinality violation
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>21000</td>
@@ -63,7 +63,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `22`: data exception
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>22003</td>
@@ -168,7 +168,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `23`: integrity constraint violation
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>23505</td>
@@ -183,7 +183,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `2B`: dependent privilege descriptors still exist
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>2BP01</td>
@@ -198,7 +198,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `38`: external routine exception
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>38000</td>
@@ -213,7 +213,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `39`: external routine invocation exception
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>39000</td>
@@ -228,7 +228,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `42`: syntax error or access rule violation
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>42000</td>
@@ -648,7 +648,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `46`: java ddl 1
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>46110</td>
@@ -672,7 +672,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `53`: insufficient resources
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>53200</td>
@@ -687,7 +687,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `54`: program limit exceeded
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>54000</td>
@@ -702,7 +702,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `HY`: CLI-specific condition
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>HY008</td>
@@ -717,7 +717,7 @@ Spark SQL uses the following `SQLSTATE` classes:
 </table>
 ## Class `XX`: internal error
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQLSTATE</th><th>Description and issuing error classes</th></tr></thead>
 <tr>
   <td>XX000</td>
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 5cf0b28982c24..88635ee3d1f44 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -469,7 +469,7 @@ license: |
 ## Upgrading from Spark SQL 2.3 to 2.4
 
   - In Spark version 2.3 and earlier, the second parameter to array_contains function is implicitly promoted to the element type of first array type parameter. This type promotion can be lossy and may cause `array_contains` function to return wrong result. This problem has been addressed in 2.4 by employing a safer type promotion mechanism. This can cause some change in behavior and are illustrated in the table below.
-    <table class="table table-striped">
+    <table>
         <thead>
           <tr>
             <th>
@@ -583,7 +583,7 @@ license: |
   - Since Spark 2.3, the Join/Filter's deterministic predicates that are after the first non-deterministic predicates are also pushed down/through the child operators, if possible. In prior Spark versions, these filters are not eligible for predicate pushdown.
 
   - Partition column inference previously found incorrect common type for different inferred types, for example, previously it ended up with double type as the common type for double type and date type. Now it finds the correct common type for such conflicts. The conflict resolution follows the table below:
-    <table class="table table-striped">
+    <table>
     <thead>
       <tr>
         <th>
diff --git a/docs/sql-performance-tuning.md b/docs/sql-performance-tuning.md
index 1467409bb500d..2dec65cc553ed 100644
--- a/docs/sql-performance-tuning.md
+++ b/docs/sql-performance-tuning.md
@@ -34,7 +34,7 @@ memory usage and GC pressure. You can call `spark.catalog.uncacheTable("tableNam
 Configuration of in-memory caching can be done using the `setConf` method on `SparkSession` or by running
 `SET key=value` commands using SQL.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.sql.inMemoryColumnarStorage.compressed</code></td>
@@ -62,7 +62,7 @@ Configuration of in-memory caching can be done using the `setConf` method on `Sp
 The following options can also be used to tune the performance of query execution. It is possible
 that these options will be deprecated in future release as more optimizations are performed automatically.
 
-<table class="table table-striped">
+<table>
   <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.sql.files.maxPartitionBytes</code></td>
@@ -253,7 +253,7 @@ Adaptive Query Execution (AQE) is an optimization technique in Spark SQL that ma
 
 ### Coalescing Post Shuffle Partitions
 This feature coalesces the post shuffle partitions based on the map output statistics when both `spark.sql.adaptive.enabled` and `spark.sql.adaptive.coalescePartitions.enabled` configurations are true. This feature simplifies the tuning of shuffle partition number when running queries. You do not need to set a proper shuffle partition number to fit your dataset. Spark can pick the proper shuffle partition number at runtime once you set a large enough initial number of shuffle partitions via `spark.sql.adaptive.coalescePartitions.initialPartitionNum` configuration.
- <table class="table table-striped">
+ <table>
    <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
    <tr>
      <td><code>spark.sql.adaptive.coalescePartitions.enabled</code></td>
@@ -298,7 +298,7 @@ This feature coalesces the post shuffle partitions based on the map output stati
  </table>
 
 ### Spliting skewed shuffle partitions
- <table class="table table-striped">
+ <table>
    <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
    <tr>
      <td><code>spark.sql.adaptive.optimizeSkewsInRebalancePartitions.enabled</code></td>
@@ -320,7 +320,7 @@ This feature coalesces the post shuffle partitions based on the map output stati
 
 ### Converting sort-merge join to broadcast join
 AQE converts sort-merge join to broadcast hash join when the runtime statistics of any join side is smaller than the adaptive broadcast hash join threshold. This is not as efficient as planning a broadcast hash join in the first place, but it's better than keep doing the sort-merge join, as we can save the sorting of both the join sides, and read shuffle files locally to save network traffic(if `spark.sql.adaptive.localShuffleReader.enabled` is true)
-  <table class="table table-striped">
+  <table>
      <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
      <tr>
        <td><code>spark.sql.adaptive.autoBroadcastJoinThreshold</code></td>
@@ -342,7 +342,7 @@ AQE converts sort-merge join to broadcast hash join when the runtime statistics
 
 ### Converting sort-merge join to shuffled hash join
 AQE converts sort-merge join to shuffled hash join when all post shuffle partitions are smaller than a threshold, the max threshold can see the config `spark.sql.adaptive.maxShuffledHashJoinLocalMapThreshold`.
-  <table class="table table-striped">
+  <table>
      <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
      <tr>
        <td><code>spark.sql.adaptive.maxShuffledHashJoinLocalMapThreshold</code></td>
@@ -356,7 +356,7 @@ AQE converts sort-merge join to shuffled hash join when all post shuffle partiti
 
 ### Optimizing Skew Join
 Data skew can severely downgrade the performance of join queries. This feature dynamically handles skew in sort-merge join by splitting (and replicating if needed) skewed tasks into roughly evenly sized tasks. It takes effect when both `spark.sql.adaptive.enabled` and `spark.sql.adaptive.skewJoin.enabled` configurations are enabled.
-  <table class="table table-striped">
+  <table>
      <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
      <tr>
        <td><code>spark.sql.adaptive.skewJoin.enabled</code></td>
@@ -393,7 +393,7 @@ Data skew can severely downgrade the performance of join queries. This feature d
    </table>
 
 ### Misc
-  <table class="table table-striped">
+  <table>
     <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
     <tr>
       <td><code>spark.sql.adaptive.optimizer.excludedRules</code></td>
diff --git a/docs/storage-openstack-swift.md b/docs/storage-openstack-swift.md
index 73b21a1f7c27b..5b30786bdd7f9 100644
--- a/docs/storage-openstack-swift.md
+++ b/docs/storage-openstack-swift.md
@@ -60,7 +60,7 @@ required by Keystone.
 The following table contains a list of Keystone mandatory parameters. <code>PROVIDER</code> can be
 any (alphanumeric) name.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Meaning</th><th>Required</th></tr></thead>
 <tr>
   <td><code>fs.swift.service.PROVIDER.auth.url</code></td>
diff --git a/docs/streaming-custom-receivers.md b/docs/streaming-custom-receivers.md
index 591a4415bb1a5..11a52232510fd 100644
--- a/docs/streaming-custom-receivers.md
+++ b/docs/streaming-custom-receivers.md
@@ -243,7 +243,7 @@ interval in the [Spark Streaming Programming Guide](streaming-programming-guide.
 
 The following table summarizes the characteristics of both types of receivers
 
-<table class="table table-striped">
+<table>
 <thead>
 <tr>
   <th>Receiver Type</th>
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index f8f98ca54425d..4b93fb7c89ad1 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -433,7 +433,7 @@ Streaming core
 artifact `spark-streaming-xyz_{{site.SCALA_BINARY_VERSION}}` to the dependencies. For example,
 some of the common ones are as follows.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Source</th><th>Artifact</th></tr></thead>
 <tr><td> Kafka </td><td> spark-streaming-kafka-0-10_{{site.SCALA_BINARY_VERSION}} </td></tr>
 <tr><td> Kinesis<br/></td><td>spark-streaming-kinesis-asl_{{site.SCALA_BINARY_VERSION}} [Amazon Software License] </td></tr>
@@ -820,7 +820,7 @@ Similar to that of RDDs, transformations allow the data from the input DStream t
 DStreams support many of the transformations available on normal Spark RDD's.
 Some of the common ones are as follows.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th style="width:25%">Transformation</th><th>Meaning</th></tr></thead>
 <tr>
   <td> <b>map</b>(<i>func</i>) </td>
@@ -1109,7 +1109,7 @@ JavaPairDStream<String, Integer> windowedWordCounts = pairs.reduceByKeyAndWindow
 Some of the common window operations are as follows. All of these operations take the
 said two parameters - <i>windowLength</i> and <i>slideInterval</i>.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th style="width:25%">Transformation</th><th>Meaning</th></tr></thead>
 <tr>
   <td> <b>window</b>(<i>windowLength</i>, <i>slideInterval</i>) </td>
@@ -1280,7 +1280,7 @@ Since the output operations actually allow the transformed data to be consumed b
 they trigger the actual execution of all the DStream transformations (similar to actions for RDDs).
 Currently, the following output operations are defined:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th style="width:30%">Output Operation</th><th>Meaning</th></tr></thead>
 <tr>
   <td> <b>print</b>()</td>
@@ -2485,7 +2485,7 @@ enabled](#deploying-applications) and reliable receivers, there is zero data los
 
 The following table summarizes the semantics under failures:
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th style="width:30%">Deployment Scenario</th>
diff --git a/docs/structured-streaming-kafka-integration.md b/docs/structured-streaming-kafka-integration.md
index 66e6efb1c8a9f..c5ffdf025b173 100644
--- a/docs/structured-streaming-kafka-integration.md
+++ b/docs/structured-streaming-kafka-integration.md
@@ -297,7 +297,7 @@ df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)");
 </div>
 
 Each row in the source has the following schema:
-<table class="table table-striped">
+<table>
 <thead><tr><th>Column</th><th>Type</th></tr></thead>
 <tr>
   <td>key</td>
@@ -336,7 +336,7 @@ Each row in the source has the following schema:
 The following options must be set for the Kafka source
 for both batch and streaming queries.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Option</th><th>value</th><th>meaning</th></tr></thead>
 <tr>
   <td>assign</td>
@@ -368,7 +368,7 @@ for both batch and streaming queries.
 
 The following configurations are optional:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Option</th><th>value</th><th>default</th><th>query type</th><th>meaning</th></tr></thead>
 <tr>
   <td>startingTimestamp</td>
@@ -607,7 +607,7 @@ The caching key is built up from the following information:
 
 The following properties are available to configure the consumer pool:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td>spark.kafka.consumer.cache.capacity</td>
@@ -657,7 +657,7 @@ Note that it doesn't leverage Apache Commons Pool due to the difference of chara
 
 The following properties are available to configure the fetched data pool:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td>spark.kafka.consumer.fetchedData.cache.timeout</td>
@@ -685,7 +685,7 @@ solution to remove duplicates when reading the written data could be to introduc
 that can be used to perform de-duplication when reading.
 
 The Dataframe being written to Kafka should have the following columns in schema:
-<table class="table table-striped">
+<table>
 <thead><tr><th>Column</th><th>Type</th></tr></thead>
 <tr>
   <td>key (optional)</td>
@@ -725,7 +725,7 @@ will be used.
 The following options must be set for the Kafka sink
 for both batch and streaming queries.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Option</th><th>value</th><th>meaning</th></tr></thead>
 <tr>
   <td>kafka.bootstrap.servers</td>
@@ -736,7 +736,7 @@ for both batch and streaming queries.
 
 The following configurations are optional:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Option</th><th>value</th><th>default</th><th>query type</th><th>meaning</th></tr></thead>
 <tr>
   <td>topic</td>
@@ -912,7 +912,7 @@ It will use different Kafka producer when delegation token is renewed; Kafka pro
 
 The following properties are available to configure the producer pool:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td>spark.kafka.producer.cache.timeout</td>
@@ -1039,7 +1039,7 @@ When none of the above applies then unsecure connection assumed.
 
 Delegation tokens can be obtained from multiple clusters and <code>${cluster}</code> is an arbitrary unique identifier which helps to group different configurations.
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
   <tr>
     <td><code>spark.kafka.clusters.${cluster}.auth.bootstrap.servers</code></td>
diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index 3e87c45a34915..845f0617898b4 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -545,7 +545,7 @@ checkpointed offsets after a failure. See the earlier section on
 [fault-tolerance semantics](#fault-tolerance-semantics).
 Here are the details of all the sources in Spark.
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Source</th>
@@ -1819,7 +1819,7 @@ regarding watermark delays and whether data will be dropped or not.
 
 ##### Support matrix for joins in streaming queries
 
-<table class="table table-striped">
+<table>
 <thead>
   <tr>
     <th>Left Input</th>
@@ -2307,7 +2307,7 @@ to `org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider`.
 
 Here are the configs regarding to RocksDB instance of the state store provider:
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Config Name</th>
@@ -2474,7 +2474,7 @@ More information to be added in future releases.
 Different types of streaming queries support different output modes.
 Here is the compatibility matrix.
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Query Type</th>
@@ -2613,7 +2613,7 @@ meant for debugging purposes only. See the earlier section on
 [fault-tolerance semantics](#fault-tolerance-semantics).
 Here are the details of all the sinks in Spark.
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Sink</th>
@@ -3201,7 +3201,7 @@ The trigger settings of a streaming query define the timing of streaming data pr
 the query is going to be executed as micro-batch query with a fixed batch interval or as a continuous processing query.
 Here are the different kinds of triggers that are supported.
 
-<table class="table table-striped">
+<table>
   <thead>
   <tr>
     <th>Trigger Type</th>
diff --git a/docs/submitting-applications.md b/docs/submitting-applications.md
index becdfb4b18f5d..4821f883eef9d 100644
--- a/docs/submitting-applications.md
+++ b/docs/submitting-applications.md
@@ -159,7 +159,7 @@ export HADOOP_CONF_DIR=XXX
 
 The master URL passed to Spark can be in one of the following formats:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>Master URL</th><th>Meaning</th></tr></thead>
 <tr><td> <code>local</code> </td><td> Run Spark locally with one worker thread (i.e. no parallelism at all). </td></tr>
 <tr><td> <code>local[K]</code> </td><td> Run Spark locally with K worker threads (ideally, set this to the number of cores on your machine). </td></tr>
diff --git a/docs/web-ui.md b/docs/web-ui.md
index 079bc6137f020..cdf62e0d8ec0b 100644
--- a/docs/web-ui.md
+++ b/docs/web-ui.md
@@ -380,7 +380,7 @@ operator shows the number of bytes written by a shuffle.
 
 Here is the list of SQL metrics:
 
-<table class="table table-striped">
+<table>
 <thead><tr><th>SQL metrics</th><th>Meaning</th><th>Operators</th></tr></thead>
 <tr><td> <code>number of output rows</code> </td><td> the number of output rows of the operator </td><td> Aggregate operators, Join operators, Sample, Range, Scan operators, Filter, etc.</td></tr>
 <tr><td> <code>data size</code> </td><td> the size of broadcast/shuffled/collected data of the operator </td><td> BroadcastExchange, ShuffleExchange, Subquery </td></tr>

From 53e2e7bdd618e2a7dec5a84b9d5ae965fb136179 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 1 Dec 2023 10:28:33 +0800
Subject: [PATCH 506/986] [SPARK-46189][PS][SQL] Perform comparisons and
 arithmetic between same types in various Pandas aggregate functions to avoid
 interpreted mode errors

### What changes were proposed in this pull request?

In various Pandas aggregate functions, remove each comparison or arithmetic operation between `DoubleType` and `IntergerType` in `evaluateExpression` and replace with a comparison or arithmetic operation between `DoubleType` and `DoubleType`.

Affected functions are `PandasStddev`, `PandasVariance`, `PandasSkewness`, `PandasKurtosis`, and `PandasCovar`.

### Why are the changes needed?

These functions fail in interpreted mode. For example, `evaluateExpression` in `PandasKurtosis` compares a double to an integer:
```
If(n < 4, Literal.create(null, DoubleType) ...
```
This results in a boxed double and a boxed integer getting passed to `SQLOrderingUtil.compareDoubles` which expects two doubles as arguments. The scala runtime tries to unbox the boxed integer as a double, resulting in an error.

Reproduction example:
```
spark.sql("set spark.sql.codegen.wholeStage=false")
spark.sql("set spark.sql.codegen.factoryMode=NO_CODEGEN")

import numpy as np
import pandas as pd

import pyspark.pandas as ps

pser = pd.Series([1, 2, 3, 7, 9, 8], index=np.random.rand(6), name="a")
psser = ps.from_pandas(pser)

psser.kurt()
```
See Jira (SPARK-46189) for the other reproduction cases.

This works fine in codegen mode because the integer is already unboxed and the Java runtime will implictly cast it to a double.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44099 from bersprockets/unboxing_error.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit 042d8546be5d160e203ad78a8aa2e12e74142338)
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .../aggregate/CentralMomentAgg.scala          | 16 ++--
 .../expressions/aggregate/Covariance.scala    |  2 +-
 .../aggregate/CentralMomentAggSuite.scala     | 77 +++++++++++++++++++
 .../aggregate/CovarianceAggSuite.scala        | 39 ++++++++++
 .../DeclarativeAggregateEvaluator.scala       | 10 +--
 .../aggregate/TestWithAndWithoutCodegen.scala | 35 +++++++++
 6 files changed, 165 insertions(+), 14 deletions(-)
 create mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAggSuite.scala
 create mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CovarianceAggSuite.scala
 create mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/TestWithAndWithoutCodegen.scala

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala
index 133a39d987459..316cb9e0bbc34 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala
@@ -353,7 +353,7 @@ case class PandasStddev(
 
   override val evaluateExpression: Expression = {
     If(n === 0.0, Literal.create(null, DoubleType),
-      If(n === ddof, divideByZeroEvalResult, sqrt(m2 / (n - ddof))))
+      If(n === ddof.toDouble, divideByZeroEvalResult, sqrt(m2 / (n - ddof.toDouble))))
   }
 
   override def prettyName: String = "pandas_stddev"
@@ -375,7 +375,7 @@ case class PandasVariance(
 
   override val evaluateExpression: Expression = {
     If(n === 0.0, Literal.create(null, DoubleType),
-      If(n === ddof, divideByZeroEvalResult, m2 / (n - ddof)))
+      If(n === ddof.toDouble, divideByZeroEvalResult, m2 / (n - ddof.toDouble)))
   }
 
   override def prettyName: String = "pandas_variance"
@@ -405,8 +405,8 @@ case class PandasSkewness(child: Expression)
     val _m2 = If(abs(m2) < 1e-14, Literal(0.0), m2)
     val _m3 = If(abs(m3) < 1e-14, Literal(0.0), m3)
 
-    If(n < 3, Literal.create(null, DoubleType),
-      If(_m2 === 0.0, Literal(0.0), sqrt(n - 1) * (n / (n - 2)) * _m3 / sqrt(_m2 * _m2 * _m2)))
+    If(n < 3.0, Literal.create(null, DoubleType),
+      If(_m2 === 0.0, Literal(0.0), sqrt(n - 1.0) * (n / (n - 2.0)) * _m3 / sqrt(_m2 * _m2 * _m2)))
   }
 
   override protected def withNewChildInternal(newChild: Expression): PandasSkewness =
@@ -423,9 +423,9 @@ case class PandasKurtosis(child: Expression)
   override protected def momentOrder = 4
 
   override val evaluateExpression: Expression = {
-    val adj = ((n - 1) / (n - 2)) * ((n - 1) / (n - 3)) * 3
-    val numerator = n * (n + 1) * (n - 1) * m4
-    val denominator = (n - 2) * (n - 3) * m2 * m2
+    val adj = ((n - 1.0) / (n - 2.0)) * ((n - 1.0) / (n - 3.0)) * 3.0
+    val numerator = n * (n + 1.0) * (n - 1.0) * m4
+    val denominator = (n - 2.0) * (n - 3.0) * m2 * m2
 
     // floating point error
     //
@@ -436,7 +436,7 @@ case class PandasKurtosis(child: Expression)
     val _numerator = If(abs(numerator) < 1e-14, Literal(0.0), numerator)
     val _denominator = If(abs(denominator) < 1e-14, Literal(0.0), denominator)
 
-    If(n < 4, Literal.create(null, DoubleType),
+    If(n < 4.0, Literal.create(null, DoubleType),
       If(_denominator === 0.0, Literal(0.0), _numerator / _denominator - adj))
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Covariance.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Covariance.scala
index ff31fb1128b9b..b392b603ab8d3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Covariance.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Covariance.scala
@@ -156,7 +156,7 @@ case class PandasCovar(
 
   override val evaluateExpression: Expression = {
     If(n === 0.0, Literal.create(null, DoubleType),
-      If(n === ddof, divideByZeroEvalResult, ck / (n - ddof)))
+      If(n === ddof.toDouble, divideByZeroEvalResult, ck / (n - ddof.toDouble)))
   }
   override def prettyName: String = "pandas_covar"
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAggSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAggSuite.scala
new file mode 100644
index 0000000000000..daf3ede0d0369
--- /dev/null
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAggSuite.scala
@@ -0,0 +1,77 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.expressions.aggregate
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.types.DoubleType
+
+class CentralMomentAggSuite extends TestWithAndWithoutCodegen {
+  val input = AttributeReference("input", DoubleType, nullable = true)()
+
+  testBothCodegenAndInterpreted("SPARK-46189: pandas_kurtosis eval") {
+    val evaluator = DeclarativeAggregateEvaluator(PandasKurtosis(input), Seq(input))
+    val buffer = evaluator.update(
+      InternalRow(1.0d),
+      InternalRow(2.0d),
+      InternalRow(3.0d),
+      InternalRow(7.0d),
+      InternalRow(9.0d),
+      InternalRow(8.0d))
+    val result = evaluator.eval(buffer)
+    assert(result === InternalRow(-2.5772889417360285d))
+  }
+
+  testBothCodegenAndInterpreted("SPARK-46189: pandas_skew eval") {
+    val evaluator = DeclarativeAggregateEvaluator(PandasSkewness(input), Seq(input))
+    val buffer = evaluator.update(
+      InternalRow(1.0d),
+      InternalRow(2.0d),
+      InternalRow(2.0d),
+      InternalRow(2.0d),
+      InternalRow(2.0d),
+      InternalRow(100.0d))
+    val result = evaluator.eval(buffer)
+    assert(result === InternalRow(2.4489389171333733d))
+  }
+
+  testBothCodegenAndInterpreted("SPARK-46189: pandas_stddev eval") {
+    val evaluator = DeclarativeAggregateEvaluator(PandasStddev(input, 1), Seq(input))
+    val buffer = evaluator.update(
+      InternalRow(1.0d),
+      InternalRow(2.0d),
+      InternalRow(3.0d),
+      InternalRow(7.0d),
+      InternalRow(9.0d),
+      InternalRow(8.0d))
+    val result = evaluator.eval(buffer)
+    assert(result === InternalRow(3.40587727318528d))
+  }
+
+  testBothCodegenAndInterpreted("SPARK-46189: pandas_variance eval") {
+    val evaluator = DeclarativeAggregateEvaluator(PandasVariance(input, 1), Seq(input))
+    val buffer = evaluator.update(
+      InternalRow(1.0d),
+      InternalRow(2.0d),
+      InternalRow(3.0d),
+      InternalRow(7.0d),
+      InternalRow(9.0d),
+      InternalRow(8.0d))
+    val result = evaluator.eval(buffer)
+    assert(result === InternalRow(11.6d))
+  }
+}
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CovarianceAggSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CovarianceAggSuite.scala
new file mode 100644
index 0000000000000..2df053184c2b4
--- /dev/null
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CovarianceAggSuite.scala
@@ -0,0 +1,39 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.expressions.aggregate
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.types.DoubleType
+
+class CovarianceAggSuite extends TestWithAndWithoutCodegen {
+  val a = AttributeReference("a", DoubleType, nullable = true)()
+  val b = AttributeReference("b", DoubleType, nullable = true)()
+
+  testBothCodegenAndInterpreted("SPARK-46189: pandas_covar eval") {
+    val evaluator = DeclarativeAggregateEvaluator(PandasCovar(a, b, 1), Seq(a, b))
+    val buffer = evaluator.update(
+      InternalRow(1.0d, 1.0d),
+      InternalRow(2.0d, 2.0d),
+      InternalRow(3.0d, 3.0d),
+      InternalRow(7.0d, 7.0d),
+      InternalRow(9.0, 9.0),
+      InternalRow(8.0d, 6.0))
+    val result = evaluator.eval(buffer)
+    assert(result === InternalRow(10.4d))
+  }
+}
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/DeclarativeAggregateEvaluator.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/DeclarativeAggregateEvaluator.scala
index b0f55b3b5c443..ac80e1419a99d 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/DeclarativeAggregateEvaluator.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/DeclarativeAggregateEvaluator.scala
@@ -17,24 +17,24 @@
 package org.apache.spark.sql.catalyst.expressions.aggregate
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.expressions.{Attribute, JoinedRow, SafeProjection}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, JoinedRow, MutableProjection}
 
 /**
  * Evaluator for a [[DeclarativeAggregate]].
  */
 case class DeclarativeAggregateEvaluator(function: DeclarativeAggregate, input: Seq[Attribute]) {
 
-  lazy val initializer = SafeProjection.create(function.initialValues)
+  lazy val initializer = MutableProjection.create(function.initialValues)
 
-  lazy val updater = SafeProjection.create(
+  lazy val updater = MutableProjection.create(
     function.updateExpressions,
     function.aggBufferAttributes ++ input)
 
-  lazy val merger = SafeProjection.create(
+  lazy val merger = MutableProjection.create(
     function.mergeExpressions,
     function.aggBufferAttributes ++ function.inputAggBufferAttributes)
 
-  lazy val evaluator = SafeProjection.create(
+  lazy val evaluator = MutableProjection.create(
     function.evaluateExpression :: Nil,
     function.aggBufferAttributes)
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/TestWithAndWithoutCodegen.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/TestWithAndWithoutCodegen.scala
new file mode 100644
index 0000000000000..b43b160146eb4
--- /dev/null
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/TestWithAndWithoutCodegen.scala
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.catalyst.expressions.aggregate
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
+import org.apache.spark.sql.catalyst.plans.SQLHelper
+import org.apache.spark.sql.internal.SQLConf
+
+trait TestWithAndWithoutCodegen extends SparkFunSuite with SQLHelper {
+  def testBothCodegenAndInterpreted(name: String)(f: => Unit): Unit = {
+    val modes = Seq(CodegenObjectFactoryMode.CODEGEN_ONLY, CodegenObjectFactoryMode.NO_CODEGEN)
+    for (fallbackMode <- modes) {
+      test(s"$name with $fallbackMode") {
+        withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> fallbackMode.toString) {
+          f
+        }
+      }
+    }
+  }
+}

From fde0fe676358fb3e9142d6895e4c7fc2e6604d5e Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Sat, 2 Dec 2023 11:25:54 -0800
Subject: [PATCH 507/986] [SPARK-45975][SQL][TESTS][3.5] Reset
 storeAssignmentPolicy to original

### What changes were proposed in this pull request?
Reset storeAssignmentPolicy to original in HiveCompatibilitySuite.

### Why are the changes needed?
STORE_ASSIGNMENT_POLICY was not reset in HiveCompatibilitySuite, causing subsequent test cases to fail.

Details: https://github.com/wForget/spark/actions/runs/6902668865/job/18779862759

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44126 from LuciferYang/SPARK-45943-FOLLOWUP.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/hive/execution/HiveCompatibilitySuite.scala      | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala
index bd323dc4b24e1..0467603c01cd0 100644
--- a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala
+++ b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala
@@ -41,6 +41,8 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter {
   private val originalCrossJoinEnabled = TestHive.conf.crossJoinEnabled
   private val originalSessionLocalTimeZone = TestHive.conf.sessionLocalTimeZone
   private val originalAnsiMode = TestHive.conf.getConf(SQLConf.ANSI_ENABLED)
+  private val originalStoreAssignmentPolicy =
+    TestHive.conf.getConf(SQLConf.STORE_ASSIGNMENT_POLICY)
   private val originalCreateHiveTable =
     TestHive.conf.getConf(SQLConf.LEGACY_CREATE_HIVE_TABLE_BY_DEFAULT)
 
@@ -76,6 +78,7 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter {
       TestHive.setConf(SQLConf.CROSS_JOINS_ENABLED, originalCrossJoinEnabled)
       TestHive.setConf(SQLConf.SESSION_LOCAL_TIMEZONE, originalSessionLocalTimeZone)
       TestHive.setConf(SQLConf.ANSI_ENABLED, originalAnsiMode)
+      TestHive.setConf(SQLConf.STORE_ASSIGNMENT_POLICY, originalStoreAssignmentPolicy)
       TestHive.setConf(SQLConf.LEGACY_CREATE_HIVE_TABLE_BY_DEFAULT, originalCreateHiveTable)
 
       // For debugging dump some statistics about how much time was spent in various optimizer rules

From 273ef5708fc33872cfe3091627617bbac8fdd56f Mon Sep 17 00:00:00 2001
From: Xingbo Jiang <xingbo.jiang@databricks.com>
Date: Sun, 3 Dec 2023 22:08:20 -0800
Subject: [PATCH 508/986] [SPARK-46182][CORE] Track `lastTaskFinishTime` using
 the exact task finished event

### What changes were proposed in this pull request?

We found a race condition between lastTaskRunningTime and lastShuffleMigrationTime that could lead to a decommissioned executor exit before all the shuffle blocks have been discovered. The issue could lead to immediate task retry right after an executor exit, thus longer query execution time.

To fix the issue, we choose to update the lastTaskRunningTime only when a task updates its status to finished through the StatusUpdate event. This is better than the current approach (which use a thread to check for number of running tasks every second), because in this way we clearly know whether the shuffle block refresh happened after all tasks finished running or not, thus resolved the race condition mentioned above.

### Why are the changes needed?

To fix a race condition that could lead to shuffle data lost, thus longer query execution time.

### How was this patch tested?

This is a very subtle race condition that is hard to write a unit test using current unit test framework. And we are confident the change is low risk. Thus only verify by passing all the existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44090 from jiangxb1987/SPARK-46182.

Authored-by: Xingbo Jiang <xingbo.jiang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6f112f7b1a50a2b8a59952c69f67dd5f80ab6633)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../executor/CoarseGrainedExecutorBackend.scala  | 16 +++++++---------
 1 file changed, 7 insertions(+), 9 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
index c695a9ec2851b..537522326fc78 100644
--- a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
@@ -21,7 +21,7 @@ import java.net.URL
 import java.nio.ByteBuffer
 import java.util.Locale
 import java.util.concurrent.ConcurrentHashMap
-import java.util.concurrent.atomic.AtomicBoolean
+import java.util.concurrent.atomic.{AtomicBoolean, AtomicLong}
 
 import scala.util.{Failure, Success}
 import scala.util.control.NonFatal
@@ -80,6 +80,10 @@ private[spark] class CoarseGrainedExecutorBackend(
 
   private var decommissioned = false
 
+  // Track the last time in ns that at least one task is running. If no task is running and all
+  // shuffle/RDD data migration are done, the decommissioned executor should exit.
+  private var lastTaskFinishTime = new AtomicLong(System.nanoTime())
+
   override def onStart(): Unit = {
     if (env.conf.get(DECOMMISSION_ENABLED)) {
       val signal = env.conf.get(EXECUTOR_DECOMMISSION_SIGNAL)
@@ -269,6 +273,7 @@ private[spark] class CoarseGrainedExecutorBackend(
     val msg = StatusUpdate(executorId, taskId, state, data, cpus, resources)
     if (TaskState.isFinished(state)) {
       taskResources.remove(taskId)
+      lastTaskFinishTime.set(System.nanoTime())
     }
     driver match {
       case Some(driverRef) => driverRef.send(msg)
@@ -341,7 +346,6 @@ private[spark] class CoarseGrainedExecutorBackend(
 
       val shutdownThread = new Thread("wait-for-blocks-to-migrate") {
         override def run(): Unit = {
-          var lastTaskRunningTime = System.nanoTime()
           val sleep_time = 1000 // 1s
           // This config is internal and only used by unit tests to force an executor
           // to hang around for longer when decommissioned.
@@ -358,7 +362,7 @@ private[spark] class CoarseGrainedExecutorBackend(
                 val (migrationTime, allBlocksMigrated) = env.blockManager.lastMigrationInfo()
                 // We can only trust allBlocksMigrated boolean value if there were no tasks running
                 // since the start of computing it.
-                if (allBlocksMigrated && (migrationTime > lastTaskRunningTime)) {
+                if (allBlocksMigrated && (migrationTime > lastTaskFinishTime.get())) {
                   logInfo("No running tasks, all blocks migrated, stopping.")
                   exitExecutor(0, ExecutorLossMessage.decommissionFinished, notifyDriver = true)
                 } else {
@@ -370,12 +374,6 @@ private[spark] class CoarseGrainedExecutorBackend(
               }
             } else {
               logInfo(s"Blocked from shutdown by ${executor.numRunningTasks} running tasks")
-              // If there is a running task it could store blocks, so make sure we wait for a
-              // migration loop to complete after the last task is done.
-              // Note: this is only advanced if there is a running task, if there
-              // is no running task but the blocks are not done migrating this does not
-              // move forward.
-              lastTaskRunningTime = System.nanoTime()
             }
             Thread.sleep(sleep_time)
           }

From 97472c91ed5660c5af862e8da99d44a1c24f2815 Mon Sep 17 00:00:00 2001
From: Johan Lasperas <johan.lasperas@databricks.com>
Date: Mon, 4 Dec 2023 08:58:03 -0800
Subject: [PATCH 509/986] [SPARK-46092][SQL][3.5] Don't push down Parquet row
 group filters that overflow

This is a cherry-pick from https://github.com/apache/spark/pull/44006 to spark 3.5

### What changes were proposed in this pull request?
This change adds a check for overflows when creating Parquet row group filters on an INT32 (byte/short/int) parquet type to avoid incorrectly skipping row groups if the predicate value doesn't fit in an INT. This can happen if the read schema is specified as LONG, e.g via `.schema("col LONG")`
While the Parquet readers don't support reading INT32 into a LONG, the overflow can lead to row groups being incorrectly skipped, bypassing the reader altogether and producing incorrect results instead of failing.

### Why are the changes needed?
Reading a parquet file containing INT32 values with a read schema specified as LONG can produce incorrect results today:
```
Seq(0).toDF("a").write.parquet(path)
spark.read.schema("a LONG").parquet(path).where(s"a < ${Long.MaxValue}").collect()
```
will return an empty result. The correct result is either:
- Failing the query if the parquet reader doesn't support upcasting integers to longs (all parquet readers in Spark today)
- Return result `[0]` if the parquet reader supports that upcast (no readers in Spark as of now, but I'm looking into adding this capability).

### Does this PR introduce _any_ user-facing change?
The following:
```
Seq(0).toDF("a").write.parquet(path)
spark.read.schema("a LONG").parquet(path).where(s"a < ${Long.MaxValue}").collect()
```
produces an (incorrect) empty result before this change. After this change, the read will fail, raising an error about the unsupported conversion from INT to LONG in the parquet reader.

### How was this patch tested?
- Added tests to `ParquetFilterSuite` to ensure that no row group filter is created when the predicate value overflows or when the value type isn't compatible with the parquet type
- Added test to `ParquetQuerySuite` covering the correctness issue described above.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44154 from johanl-db/SPARK-46092-row-group-skipping-overflow-3.5.

Authored-by: Johan Lasperas <johan.lasperas@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../datasources/parquet/ParquetFilters.scala  | 10 ++-
 .../parquet/ParquetFilterSuite.scala          | 71 +++++++++++++++++++
 .../parquet/ParquetQuerySuite.scala           | 20 ++++++
 3 files changed, 99 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
index 5899b6621ad8e..0983841dc8c2e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.execution.datasources.parquet
 
-import java.lang.{Boolean => JBoolean, Double => JDouble, Float => JFloat, Long => JLong}
+import java.lang.{Boolean => JBoolean, Byte => JByte, Double => JDouble, Float => JFloat, Long => JLong, Short => JShort}
 import java.math.{BigDecimal => JBigDecimal}
 import java.nio.charset.StandardCharsets.UTF_8
 import java.sql.{Date, Timestamp}
@@ -612,7 +612,13 @@ class ParquetFilters(
     value == null || (nameToParquetField(name).fieldType match {
       case ParquetBooleanType => value.isInstanceOf[JBoolean]
       case ParquetIntegerType if value.isInstanceOf[Period] => true
-      case ParquetByteType | ParquetShortType | ParquetIntegerType => value.isInstanceOf[Number]
+      case ParquetByteType | ParquetShortType | ParquetIntegerType => value match {
+        // Byte/Short/Int are all stored as INT32 in Parquet so filters are built using type Int.
+        // We don't create a filter if the value would overflow.
+        case _: JByte | _: JShort | _: Integer => true
+        case v: JLong => v.longValue() >= Int.MinValue && v.longValue() <= Int.MaxValue
+        case _ => false
+      }
       case ParquetLongType => value.isInstanceOf[JLong] || value.isInstanceOf[Duration]
       case ParquetFloatType => value.isInstanceOf[JFloat]
       case ParquetDoubleType => value.isInstanceOf[JDouble]
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
index 269a3efb7360c..8e88049f51e10 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.datasources.parquet
 
 import java.io.File
+import java.lang.{Double => JDouble, Float => JFloat, Long => JLong}
 import java.math.{BigDecimal => JBigDecimal}
 import java.nio.charset.StandardCharsets
 import java.sql.{Date, Timestamp}
@@ -901,6 +902,76 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
     }
   }
 
+  test("don't push down filters that would result in overflows") {
+    val schema = StructType(Seq(
+      StructField("cbyte", ByteType),
+      StructField("cshort", ShortType),
+      StructField("cint", IntegerType)
+    ))
+
+    val parquetSchema = new SparkToParquetSchemaConverter(conf).convert(schema)
+    val parquetFilters = createParquetFilters(parquetSchema)
+
+    for {
+      column <- Seq("cbyte", "cshort", "cint")
+      value <- Seq(JLong.MAX_VALUE, JLong.MIN_VALUE).map(JLong.valueOf)
+    } {
+      val filters = Seq(
+        sources.LessThan(column, value),
+        sources.LessThanOrEqual(column, value),
+        sources.GreaterThan(column, value),
+        sources.GreaterThanOrEqual(column, value),
+        sources.EqualTo(column, value),
+        sources.EqualNullSafe(column, value),
+        sources.Not(sources.EqualTo(column, value)),
+        sources.In(column, Array(value))
+      )
+      for (filter <- filters) {
+        assert(parquetFilters.createFilter(filter).isEmpty,
+          s"Row group filter $filter shouldn't be pushed down.")
+      }
+    }
+  }
+
+  test("don't push down filters when value type doesn't match column type") {
+    val schema = StructType(Seq(
+      StructField("cbyte", ByteType),
+      StructField("cshort", ShortType),
+      StructField("cint", IntegerType),
+      StructField("clong", LongType),
+      StructField("cfloat", FloatType),
+      StructField("cdouble", DoubleType),
+      StructField("cboolean", BooleanType),
+      StructField("cstring", StringType),
+      StructField("cdate", DateType),
+      StructField("ctimestamp", TimestampType),
+      StructField("cbinary", BinaryType),
+      StructField("cdecimal", DecimalType(10, 0))
+    ))
+
+    val parquetSchema = new SparkToParquetSchemaConverter(conf).convert(schema)
+    val parquetFilters = createParquetFilters(parquetSchema)
+
+    val filters = Seq(
+      sources.LessThan("cbyte", String.valueOf("1")),
+      sources.LessThan("cshort", JBigDecimal.valueOf(1)),
+      sources.LessThan("cint", JFloat.valueOf(JFloat.NaN)),
+      sources.LessThan("clong", String.valueOf("1")),
+      sources.LessThan("cfloat", JDouble.valueOf(1.0D)),
+      sources.LessThan("cdouble", JFloat.valueOf(1.0F)),
+      sources.LessThan("cboolean", String.valueOf("true")),
+      sources.LessThan("cstring", Integer.valueOf(1)),
+      sources.LessThan("cdate", Timestamp.valueOf("2018-01-01 00:00:00")),
+      sources.LessThan("ctimestamp", Date.valueOf("2018-01-01")),
+      sources.LessThan("cbinary", Integer.valueOf(1)),
+      sources.LessThan("cdecimal", Integer.valueOf(1234))
+    )
+    for (filter <- filters) {
+      assert(parquetFilters.createFilter(filter).isEmpty,
+        s"Row group filter $filter shouldn't be pushed down.")
+    }
+  }
+
   test("SPARK-6554: don't push down predicates which reference partition columns") {
     import testImplicits._
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index 2e7b26126d24f..ea5444a1791fd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -1095,6 +1095,26 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
     }
   }
 
+  test("row group skipping doesn't overflow when reading into larger type") {
+    withTempPath { path =>
+      Seq(0).toDF("a").write.parquet(path.toString)
+      // The vectorized and non-vectorized readers will produce different exceptions, we don't need
+      // to test both as this covers row group skipping.
+      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "true") {
+        // Reading integer 'a' as a long isn't supported. Check that an exception is raised instead
+        // of incorrectly skipping the single row group and producing incorrect results.
+        val exception = intercept[SparkException] {
+          spark.read
+            .schema("a LONG")
+            .parquet(path.toString)
+            .where(s"a < ${Long.MaxValue}")
+            .collect()
+        }
+        assert(exception.getCause.getCause.isInstanceOf[SchemaColumnConvertNotSupportedException])
+      }
+    }
+  }
+
   test("SPARK-36825, SPARK-36852: create table with ANSI intervals") {
     withTable("tbl") {
       sql("create table tbl (c1 interval day, c2 interval year to month) using parquet")

From 1321b4e64deaa1e58bf297c25b72319083056568 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 4 Dec 2023 14:41:27 -0800
Subject: [PATCH 510/986] [SPARK-46239][CORE] Hide `Jetty` info

**What changes were proposed in this pull request?**
The PR sets parameters to hide the version of  jetty in spark.

**Why are the changes needed?**
It can avoid obtaining remote WWW service information through HTTP.

**Does this PR introduce any user-facing change?**
No

**How was this patch tested?**
Manual review

**Was this patch authored or co-authored using generative AI tooling?**
No

Closes #44158 from chenyu-opensource/branch-SPARK-46239.

Lead-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Co-authored-by: chenyu <119398199+chenyu-opensource@users.noreply.github.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit ff4f59341215b7f3a87e6cd8798d49e25562fcd6)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 core/src/main/scala/org/apache/spark/ui/JettyUtils.scala | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
index 9582bdbf52641..21753361e627a 100644
--- a/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
@@ -312,6 +312,12 @@ private[spark] object JettyUtils extends Logging {
       logDebug(s"Using requestHeaderSize: $requestHeaderSize")
       httpConfig.setRequestHeaderSize(requestHeaderSize)
 
+      // Hide information.
+      logDebug("Using setSendServerVersion: false")
+      httpConfig.setSendServerVersion(false)
+      logDebug("Using setSendXPoweredBy: false")
+      httpConfig.setSendXPoweredBy(false)
+
       // If SSL is configured, create the secure connector first.
       val securePort = sslOptions.createJettySslContextFactory().map { factory =>
         val securePort = sslOptions.port.getOrElse(if (port > 0) Utils.userPort(port, 400) else 0)

From b5cbe1fcdb464fc064ffb5fbef3edfa408d6638f Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 6 Dec 2023 10:46:31 -0800
Subject: [PATCH 511/986] [SPARK-46286][DOCS] Document
 `spark.io.compression.zstd.bufferPool.enabled`

This PR adds spark.io.compression.zstd.bufferPool.enabled to documentation

- Missing docs
- https://github.com/apache/spark/pull/31502#issuecomment-774792276 potential regression

no

doc build

no

Closes #44207 from yaooqinn/SPARK-46286.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6b6980de451e655ef4b9f63d502b73c09a513d4c)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/configuration.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/docs/configuration.md b/docs/configuration.md
index 248f9333c9a3b..f79406c5b6d89 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1752,6 +1752,14 @@ Apart from these, the following properties are also available, and may be useful
   </td>
   <td>2.3.0</td>
 </tr>
+<tr>
+  <td><code>spark.io.compression.zstd.bufferPool.enabled</code></td>
+  <td>true</td>
+  <td>
+    If true, enable buffer pool of ZSTD JNI library.
+  </td>
+  <td>3.2.0</td>
+</tr>
 <tr>
   <td><code>spark.kryo.classesToRegister</code></td>
   <td>(none)</td>

From a697725d99a0177a2b1fbb0607e859ac10af1c4e Mon Sep 17 00:00:00 2001
From: Nick Young <nick.young@databricks.com>
Date: Wed, 6 Dec 2023 15:20:19 -0800
Subject: [PATCH 512/986] [SPARK-46274][SQL] Fix Range operator computeStats()
 to check long validity before converting

### What changes were proposed in this pull request?

Range operator's `computeStats()` function unsafely casts from `BigInt` to `Long` and causes issues downstream with statistics estimation. Adds bounds checking to avoid crashing.

### Why are the changes needed?

Downstream statistics estimation will crash and fail loudly; to avoid this and help maintain clean code we should fix this.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

UT

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44191 from n-young-db/range-compute-stats.

Authored-by: Nick Young <nick.young@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9fd575ae46f8a4dbd7da18887a44c693d8788332)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../plans/logical/basicLogicalOperators.scala    | 12 +++++++-----
 .../BasicStatsEstimationSuite.scala              | 16 ++++++++++++++++
 2 files changed, 23 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index b4d7716a566e4..58c03ee72d6dc 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1063,10 +1063,12 @@ case class Range(
     if (numElements == 0) {
       Statistics(sizeInBytes = 0, rowCount = Some(0))
     } else {
-      val (minVal, maxVal) = if (step > 0) {
-        (start, start + (numElements - 1) * step)
+      val (minVal, maxVal) = if (!numElements.isValidLong) {
+        (None, None)
+      } else if (step > 0) {
+        (Some(start), Some(start + (numElements.toLong - 1) * step))
       } else {
-        (start + (numElements - 1) * step, start)
+        (Some(start + (numElements.toLong - 1) * step), Some(start))
       }
 
       val histogram = if (conf.histogramEnabled) {
@@ -1077,8 +1079,8 @@ case class Range(
 
       val colStat = ColumnStat(
         distinctCount = Some(numElements),
-        max = Some(maxVal),
-        min = Some(minVal),
+        max = maxVal,
+        min = minVal,
         nullCount = Some(0),
         avgLen = Some(LongType.defaultSize),
         maxLen = Some(LongType.defaultSize),
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/BasicStatsEstimationSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/BasicStatsEstimationSuite.scala
index 33e521eb65a57..d1276615c5faa 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/BasicStatsEstimationSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/BasicStatsEstimationSuite.scala
@@ -176,6 +176,22 @@ class BasicStatsEstimationSuite extends PlanTest with StatsEstimationTestBase {
         expectedStatsCboOff = rangeStats, extraConfig)
   }
 
+test("range with invalid long value") {
+  val numElements = BigInt(Long.MaxValue) - BigInt(Long.MinValue)
+  val range = Range(Long.MinValue, Long.MaxValue, 1, None)
+  val rangeAttrs = AttributeMap(range.output.map(attr =>
+    (attr, ColumnStat(
+      distinctCount = Some(numElements),
+      nullCount = Some(0),
+      maxLen = Some(LongType.defaultSize),
+      avgLen = Some(LongType.defaultSize)))))
+  val rangeStats = Statistics(
+    sizeInBytes = numElements * 8,
+    rowCount = Some(numElements),
+    attributeStats = rangeAttrs)
+  checkStats(range, rangeStats, rangeStats)
+}
+
   test("windows") {
     val windows = plan.window(Seq(min(attribute).as("sum_attr")), Seq(attribute), Nil)
     val windowsStats = Statistics(sizeInBytes = plan.size.get * (4 + 4 + 8) / (4 + 8))

From dbb61981b804dbc03cf140c7c76653348e2ac740 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Wed, 6 Dec 2023 15:24:48 -0800
Subject: [PATCH 513/986] [SPARK-45580][SQL][3.5] Handle case where a nested
 subquery becomes an existence join

### What changes were proposed in this pull request?

This is a back-port of #44193.

In `RewritePredicateSubquery`, prune existence flags from the final join when `rewriteExistentialExpr` returns an existence join. This change prunes the flags (attributes with the name "exists") by adding a `Project` node.

For example:
```
Join LeftSemi, ((a#13 = c1#15) OR exists#19)
:- Join ExistenceJoin(exists#19), (a#13 = col1#17)
:  :- LocalRelation [a#13]
:  +- LocalRelation [col1#17]
+- LocalRelation [c1#15]
```
becomes
```
Project [a#13]
+- Join LeftSemi, ((a#13 = c1#15) OR exists#19)
   :- Join ExistenceJoin(exists#19), (a#13 = col1#17)
   :  :- LocalRelation [a#13]
   :  +- LocalRelation [col1#17]
   +- LocalRelation [c1#15]
```
This change always adds the `Project` node, whether `rewriteExistentialExpr` returns an existence join or not. In the case when `rewriteExistentialExpr` does not return an existence join, `RemoveNoopOperators` will remove the unneeded `Project` node.

### Why are the changes needed?

This query returns an extraneous boolean column when run in spark-sql:
```
create or replace temp view t1(a) as values (1), (2), (3), (7);
create or replace temp view t2(c1) as values (1), (2), (3);
create or replace temp view t3(col1) as values (3), (9);

select *
from t1
where exists (
  select c1
  from t2
  where a = c1
  or a in (select col1 from t3)
);

1	false
2	false
3	true
```
(Note: the above query will not have the extraneous boolean column when run from the Dataset API. That is because the Dataset API truncates the rows based on the schema of the analyzed plan. The bug occurs during optimization).

This query fails when run in either spark-sql or using the Dataset API:
```
select (
  select *
  from t1
  where exists (
    select c1
    from t2
    where a = c1
    or a in (select col1 from t3)
  )
  limit 1
)
from range(1);

java.lang.AssertionError: assertion failed: Expects 1 field, but got 2; something went wrong in analysis
```

### Does this PR introduce _any_ user-facing change?

No, except for the removal of the extraneous boolean flag and the fix to the error condition.

### How was this patch tested?

New unit test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44215 from bersprockets/schema_change_br35.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/optimizer/subquery.scala     |  9 ++--
 .../org/apache/spark/sql/SubquerySuite.scala  | 46 +++++++++++++++++++
 2 files changed, 52 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
index 91cd838ad617a..ee20053157816 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
@@ -118,16 +118,19 @@ object RewritePredicateSubquery extends Rule[LogicalPlan] with PredicateHelper {
       withSubquery.foldLeft(newFilter) {
         case (p, Exists(sub, _, _, conditions, subHint)) =>
           val (joinCond, outerPlan) = rewriteExistentialExpr(conditions, p)
-          buildJoin(outerPlan, sub, LeftSemi, joinCond, subHint)
+          val join = buildJoin(outerPlan, sub, LeftSemi, joinCond, subHint)
+          Project(p.output, join)
         case (p, Not(Exists(sub, _, _, conditions, subHint))) =>
           val (joinCond, outerPlan) = rewriteExistentialExpr(conditions, p)
-          buildJoin(outerPlan, sub, LeftAnti, joinCond, subHint)
+          val join = buildJoin(outerPlan, sub, LeftAnti, joinCond, subHint)
+          Project(p.output, join)
         case (p, InSubquery(values, ListQuery(sub, _, _, _, conditions, subHint))) =>
           // Deduplicate conflicting attributes if any.
           val newSub = dedupSubqueryOnSelfJoin(p, sub, Some(values))
           val inConditions = values.zip(newSub.output).map(EqualTo.tupled)
           val (joinCond, outerPlan) = rewriteExistentialExpr(inConditions ++ conditions, p)
-          Join(outerPlan, newSub, LeftSemi, joinCond, JoinHint(None, subHint))
+          val join = Join(outerPlan, newSub, LeftSemi, joinCond, JoinHint(None, subHint))
+          Project(p.output, join)
         case (p, Not(InSubquery(values, ListQuery(sub, _, _, _, conditions, subHint)))) =>
           // This is a NULL-aware (left) anti join (NAAJ) e.g. col NOT IN expr
           // Construct the condition. A NULL in one of the conditions is regarded as a positive
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
index a7a0f6156cb1d..fbc256b33968a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
@@ -2736,4 +2736,50 @@ class SubquerySuite extends QueryTest
         Row(1, "a", 3) :: Row(2, "a", 3) :: Row(3, "a", 3) :: Nil)
     }
   }
+
+  test("SPARK-45580: Handle case where a nested subquery becomes an existence join") {
+    withTempView("t1", "t2", "t3") {
+      Seq((1), (2), (3), (7)).toDF("a").persist().createOrReplaceTempView("t1")
+      Seq((1), (2), (3)).toDF("c1").persist().createOrReplaceTempView("t2")
+      Seq((3), (9)).toDF("col1").persist().createOrReplaceTempView("t3")
+
+      val query1 =
+        """
+          |SELECT *
+          |FROM t1
+          |WHERE EXISTS (
+          |  SELECT c1
+          |  FROM t2
+          |  WHERE a = c1
+          |  OR a IN (SELECT col1 FROM t3)
+          |)""".stripMargin
+      val df1 = sql(query1)
+      checkAnswer(df1, Row(1) :: Row(2) :: Row(3) :: Nil)
+
+      val query2 =
+        """
+          |SELECT *
+          |FROM t1
+          |WHERE a IN (
+          |  SELECT c1
+          |  FROM t2
+          |  where a IN (SELECT col1 FROM t3)
+          |)""".stripMargin
+      val df2 = sql(query2)
+      checkAnswer(df2, Row(3))
+
+      val query3 =
+        """
+          |SELECT *
+          |FROM t1
+          |WHERE NOT EXISTS (
+          |  SELECT c1
+          |  FROM t2
+          |  WHERE a = c1
+          |  OR a IN (SELECT col1 FROM t3)
+          |)""".stripMargin
+      val df3 = sql(query3)
+      checkAnswer(df3, Row(7))
+    }
+  }
 }

From ab14430523473528bafa41d8f10bc33efbb74493 Mon Sep 17 00:00:00 2001
From: Raghu Angadi <raghu.angadi@databricks.com>
Date: Fri, 8 Dec 2023 16:40:27 +0900
Subject: [PATCH 514/986] [SPARK-46275] Protobuf: Return null in permissive
 mode when deserialization fails

### What changes were proposed in this pull request?
This updates the the behavior of `from_protobuf()` built function when underlying record fails to deserialize.

  * **Current behvior**:
    * By default, this would throw an error and the query fails. [This part is not changed in the PR]
    * When `mode` is set to 'PERMISSIVE' it returns a non-null struct with each of the inner fields set to null e.g. `{ "field_a": null, "field_b": null }`  etc.
       * This is not very convenient to the users. They don't know if this was due to malformed record or if the input itself has null. It is very hard to check for each field for null in SQL query (imagine a sql query with a struct that has 10 fields).

  * **New behavior**
    * When `mode` is set to 'PERMISSIVE' it simply returns `null`.

### Why are the changes needed?
This makes it easier for users to detect and handle malformed records.

### Does this PR introduce _any_ user-facing change?
Yes, but this does not change the contract. In fact, it clarifies it.

### How was this patch tested?
 - Unit tests are updated.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44214 from rangadi/protobuf-null.

Authored-by: Raghu Angadi <raghu.angadi@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 309c796876f310f8604292d84acc12e711ba7031)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/protobuf/ProtobufDataToCatalyst.scala | 31 +++----------------
 .../ProtobufCatalystDataConversionSuite.scala | 13 +-------
 2 files changed, 6 insertions(+), 38 deletions(-)

diff --git a/connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/ProtobufDataToCatalyst.scala b/connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/ProtobufDataToCatalyst.scala
index 5c4a5ff068968..d2417674837be 100644
--- a/connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/ProtobufDataToCatalyst.scala
+++ b/connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/ProtobufDataToCatalyst.scala
@@ -22,12 +22,12 @@ import scala.util.control.NonFatal
 import com.google.protobuf.DynamicMessage
 import com.google.protobuf.TypeRegistry
 
-import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, SpecificInternalRow, UnaryExpression}
+import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, UnaryExpression}
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodeGenerator, ExprCode}
 import org.apache.spark.sql.catalyst.util.{FailFastMode, ParseMode, PermissiveMode}
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.protobuf.utils.{ProtobufOptions, ProtobufUtils, SchemaConverters}
-import org.apache.spark.sql.types.{AbstractDataType, BinaryType, DataType, StructType}
+import org.apache.spark.sql.types.{AbstractDataType, BinaryType, DataType}
 
 private[sql] case class ProtobufDataToCatalyst(
     child: Expression,
@@ -39,16 +39,8 @@ private[sql] case class ProtobufDataToCatalyst(
 
   override def inputTypes: Seq[AbstractDataType] = Seq(BinaryType)
 
-  override lazy val dataType: DataType = {
-    val dt = SchemaConverters.toSqlType(messageDescriptor, protobufOptions).dataType
-    parseMode match {
-      // With PermissiveMode, the output Catalyst row might contain columns of null values for
-      // corrupt records, even if some of the columns are not nullable in the user-provided schema.
-      // Therefore we force the schema to be all nullable here.
-      case PermissiveMode => dt.asNullable
-      case _ => dt
-    }
-  }
+  override lazy val dataType: DataType =
+    SchemaConverters.toSqlType(messageDescriptor, protobufOptions).dataType
 
   override def nullable: Boolean = true
 
@@ -87,22 +79,9 @@ private[sql] case class ProtobufDataToCatalyst(
     mode
   }
 
-  @transient private lazy val nullResultRow: Any = dataType match {
-    case st: StructType =>
-      val resultRow = new SpecificInternalRow(st.map(_.dataType))
-      for (i <- 0 until st.length) {
-        resultRow.setNullAt(i)
-      }
-      resultRow
-
-    case _ =>
-      null
-  }
-
   private def handleException(e: Throwable): Any = {
     parseMode match {
-      case PermissiveMode =>
-        nullResultRow
+      case PermissiveMode => null
       case FailFastMode =>
         throw QueryExecutionErrors.malformedProtobufMessageDetectedInMessageParsingError(e)
       case _ =>
diff --git a/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala b/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
index b7f17fece5fa6..62d0efd7459b2 100644
--- a/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
+++ b/connector/protobuf/src/test/scala/org/apache/spark/sql/protobuf/ProtobufCatalystDataConversionSuite.scala
@@ -79,20 +79,9 @@ class ProtobufCatalystDataConversionSuite
         .eval()
     }
 
-    val expected = {
-      val expectedSchema = ProtobufUtils.buildDescriptor(descBytes, badSchema)
-      SchemaConverters.toSqlType(expectedSchema).dataType match {
-        case st: StructType =>
-          Row.fromSeq((0 until st.length).map { _ =>
-            null
-          })
-        case _ => null
-      }
-    }
-
     checkEvaluation(
       ProtobufDataToCatalyst(binary, badSchema, Some(descBytes), Map("mode" -> "PERMISSIVE")),
-      expected)
+      expected = null)
   }
 
   protected def prepareExpectedResult(expected: Any): Any = expected match {

From 28a8b181e96d4ce71e2f9888910214d14a859b7d Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Sat, 9 Dec 2023 15:20:55 -0800
Subject: [PATCH 515/986] [SPARK-46339][SS] Directory with batch number name
 should not be treated as metadata log

### What changes were proposed in this pull request?

This patch updates the document of `CheckpointFileManager.list` method to reflect the fact it is used to return both files and directories to reduce confusion.

For the usage like `HDFSMetadataLog` where it assumes returned file status by `list` are all files, we add a filter there to avoid confusing error.

### Why are the changes needed?

`HDFSMetadataLog` takes a metadata path as parameter. When it goes to retrieves all batches metadata, it calls `CheckpointFileManager.list` to get all files under the metadata path. However, currently all implementations of `CheckpointFileManager.list` returns all files/directories under the given path. So if there is a dictionary with name of batch number (a long value), the directory will be returned too and cause trouble when `HDFSMetadataLog` goes to read it.

Actually, `CheckpointFileManager.list` method clearly defines that it lists the "files" in a path. That's being said, current implementations don't follow the doc. We tried to make `list` method implementations only return files but some usage (state metadata) of `list` method already break the assumption and they use dictionaries returned by `list` method. So we simply update `list` method document to explicitly define it returns both files/dictionaries. We add a filter in `HDFSMetadataLog` on the file statuses returned by `list` method to avoid this issue.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44272 from viirya/fix_metadatalog.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 75805f07f5caeb01104a7352b02790d03a043ded)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../execution/streaming/CheckpointFileManager.scala  |  4 ++--
 .../sql/execution/streaming/HDFSMetadataLog.scala    |  2 ++
 .../execution/streaming/HDFSMetadataLogSuite.scala   | 12 ++++++++++++
 3 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/CheckpointFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/CheckpointFileManager.scala
index ad3212871fc94..677e2fccb6b48 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/CheckpointFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/CheckpointFileManager.scala
@@ -65,10 +65,10 @@ trait CheckpointFileManager {
   /** Open a file for reading, or throw exception if it does not exist. */
   def open(path: Path): FSDataInputStream
 
-  /** List the files in a path that match a filter. */
+  /** List the files/directories in a path that match a filter. */
   def list(path: Path, filter: PathFilter): Array[FileStatus]
 
-  /** List all the files in a path. */
+  /** List all the files/directories in a path. */
   def list(path: Path): Array[FileStatus] = {
     list(path, (_: Path) => true)
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
index 2b0172bb9555c..9a811db679d01 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
@@ -325,6 +325,8 @@ class HDFSMetadataLog[T <: AnyRef : ClassTag](sparkSession: SparkSession, path:
   /** List the available batches on file system. */
   protected def listBatches: Array[Long] = {
     val batchIds = fileManager.list(metadataPath, batchFilesFilter)
+      // Batches must be files
+      .filter(f => f.isFile)
       .map(f => pathToBatchId(f.getPath)) ++
       // Iterate over keySet is not thread safe. We call `toArray` to make a copy in the lock to
       // elimiate the race condition.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLogSuite.scala
index 980d532dd4779..08f245135f589 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLogSuite.scala
@@ -33,6 +33,18 @@ class HDFSMetadataLogSuite extends SharedSparkSession {
 
   private implicit def toOption[A](a: A): Option[A] = Option(a)
 
+  test("SPARK-46339: Directory with number name should not be treated as metadata log") {
+    withTempDir { temp =>
+      val dir = new File(temp, "dir")
+      val metadataLog = new HDFSMetadataLog[String](spark, dir.getAbsolutePath)
+      assert(metadataLog.metadataPath.toString.endsWith("/dir"))
+
+      // Create a directory with batch id 0
+      new File(dir, "0").mkdir()
+      assert(metadataLog.getLatest() === None)
+    }
+  }
+
   test("HDFSMetadataLog: basic") {
     withTempDir { temp =>
       val dir = new File(temp, "dir") // use non-existent directory to test whether log make the dir

From cbaefe9cc6a22c940728b6717aeaa51c7d550ddc Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Sun, 10 Dec 2023 14:03:37 -0800
Subject: [PATCH 516/986] [SPARK-45969][DOCS] Document configuration change of
 executor failure tracker

It's a follow-up of SPARK-41210 (use a new JIRA ticket because it was released in 3.5.0), this PR updates docs/migration guide about configuration change of executor failure tracker

Docs update is missing in previous changes, also is requested https://github.com/apache/spark/commit/40872e9a094f8459b0b6f626937ced48a8d98efb#r132516892 by tgravescs

Yes, docs changed

Review

No

Closes #43863 from pan3793/SPARK-45969.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 7a43de193aa5a0856e098088728dccea37f169c5)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/internal/config/package.scala       |  4 ++--
 docs/configuration.md                         | 21 +++++++++++++++++++
 docs/core-migration-guide.md                  |  6 ++++++
 docs/running-on-yarn.md                       | 17 ---------------
 4 files changed, 29 insertions(+), 19 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index 600cbf151e17b..c5e23cae1f847 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -924,7 +924,7 @@ package object config {
 
   private[spark] val MAX_EXECUTOR_FAILURES =
     ConfigBuilder("spark.executor.maxNumFailures")
-      .doc("Spark exits if the number of failed executors exceeds this threshold. " +
+      .doc("The maximum number of executor failures before failing the application. " +
         "This configuration only takes effect on YARN, or Kubernetes when " +
         "`spark.kubernetes.allocation.pods.allocator` is set to 'direct'.")
       .version("3.5.0")
@@ -933,7 +933,7 @@ package object config {
 
   private[spark] val EXECUTOR_ATTEMPT_FAILURE_VALIDITY_INTERVAL_MS =
     ConfigBuilder("spark.executor.failuresValidityInterval")
-      .doc("Interval after which Executor failures will be considered independent and not " +
+      .doc("Interval after which executor failures will be considered independent and not " +
         "accumulate towards the attempt count. This configuration only takes effect on YARN, " +
         "or Kubernetes when `spark.kubernetes.allocation.pods.allocator` is set to 'direct'.")
       .version("3.5.0")
diff --git a/docs/configuration.md b/docs/configuration.md
index f79406c5b6d89..645c3e8208abc 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -514,6 +514,27 @@ of the most common options to set are:
   </td>
   <td>3.2.0</td>
 </tr>
+<tr>
+  <td><code>spark.executor.maxNumFailures</code></td>
+  <td>numExecutors * 2, with minimum of 3</td>
+  <td>
+    The maximum number of executor failures before failing the application.
+    This configuration only takes effect on YARN, or Kubernetes when 
+    `spark.kubernetes.allocation.pods.allocator` is set to 'direct'.
+  </td>
+  <td>3.5.0</td>
+</tr>
+<tr>
+  <td><code>spark.executor.failuresValidityInterval</code></td>
+  <td>(none)</td>
+  <td>
+    Interval after which executor failures will be considered independent and
+    not accumulate towards the attempt count.
+    This configuration only takes effect on YARN, or Kubernetes when 
+    `spark.kubernetes.allocation.pods.allocator` is set to 'direct'.
+  </td>
+  <td>3.5.0</td>
+</tr>
 </table>
 
 Apart from these, the following properties are also available, and may be useful in some situations:
diff --git a/docs/core-migration-guide.md b/docs/core-migration-guide.md
index 3f97a484e1a68..36465cc3f4e86 100644
--- a/docs/core-migration-guide.md
+++ b/docs/core-migration-guide.md
@@ -22,6 +22,12 @@ license: |
 * Table of contents
 {:toc}
 
+## Upgrading from Core 3.4 to 3.5
+
+- Since Spark 3.5, `spark.yarn.executor.failuresValidityInterval` is deprecated. Use `spark.executor.failuresValidityInterval` instead.
+
+- Since Spark 3.5, `spark.yarn.max.executor.failures` is deprecated. Use `spark.executor.maxNumFailures` instead.
+
 ## Upgrading from Core 3.3 to 3.4
 
 - Since Spark 3.4, Spark driver will own `PersistentVolumnClaim`s and try to reuse if they are not assigned to live executors. To restore the behavior before Spark 3.4, you can set `spark.kubernetes.driver.ownPersistentVolumeClaim` to `false` and `spark.kubernetes.driver.reusePersistentVolumeClaim` to `false`.
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index d577b70a68039..9b4e59a119eeb 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -291,14 +291,6 @@ To use a custom metrics.properties for the application master and executors, upd
   </td>
   <td>1.4.0</td>
 </tr>
-<tr>
-  <td><code>spark.yarn.max.executor.failures</code></td>
-  <td>numExecutors * 2, with minimum of 3</td>
-  <td>
-    The maximum number of executor failures before failing the application.
-  </td>
-  <td>1.0.0</td>
-</tr>
 <tr>
   <td><code>spark.yarn.historyServer.address</code></td>
   <td>(none)</td>
@@ -499,15 +491,6 @@ To use a custom metrics.properties for the application master and executors, upd
   </td>
   <td>3.3.0</td>
 </tr>
-<tr>
-  <td><code>spark.yarn.executor.failuresValidityInterval</code></td>
-  <td>(none)</td>
-  <td>
-  Defines the validity interval for executor failure tracking.
-  Executor failures which are older than the validity interval will be ignored.
-  </td>
-  <td>2.0.0</td>
-</tr>
 <tr>
   <td><code>spark.yarn.submit.waitAppCompletion</code></td>
   <td><code>true</code></td>

From 9c83bf501ccefa7c6c0ba071f69e2528f3504854 Mon Sep 17 00:00:00 2001
From: Amy Tsai <amytsai@stripe.com>
Date: Mon, 11 Dec 2023 18:35:31 +0300
Subject: [PATCH 517/986] [MINOR][DOCS] Fix documentation for
 `spark.sql.legacy.doLooseUpcast` in SQL migration guide

### What changes were proposed in this pull request?

Fixes an error in the SQL migration guide documentation for `spark.sql.legacy.doLooseUpcast`. I corrected the config name and moved it to the section for migration from Spark 2.4 to 3.0 since it was not made available until Spark 3.0.

### Why are the changes needed?

The config was documented as `spark.sql.legacy.looseUpcast` and is inaccurately included in the Spark 2.4 to Spark 2.4.1 section.

I changed the docs to match what is implemented in https://github.com/apache/spark/blob/20df062d85e80422a55afae80ddbf2060f26516c/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L3873

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Docs only change

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44262 from amytsai-stripe/fix-migration-docs-loose-upcast.

Authored-by: Amy Tsai <amytsai@stripe.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit bab884082c0f82e3f9053adac6c7e8a3fcfab11c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 docs/sql-migration-guide.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 88635ee3d1f44..2eba9500e907e 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -251,6 +251,8 @@ license: |
 
   - In Spark 3.0, the column metadata will always be propagated in the API `Column.name` and `Column.as`. In Spark version 2.4 and earlier, the metadata of `NamedExpression` is set as the `explicitMetadata` for the new column at the time the API is called, it won't change even if the underlying `NamedExpression` changes metadata. To restore the behavior before Spark 3.0, you can use the API `as(alias: String, metadata: Metadata)` with explicit metadata.
 
+  - When turning a Dataset to another Dataset, Spark will up cast the fields in the original Dataset to the type of corresponding fields in the target DataSet. In version 2.4 and earlier, this up cast is not very strict, e.g. `Seq("str").toDS.as[Int]` fails, but `Seq("str").toDS.as[Boolean]` works and throw NPE during execution. In Spark 3.0, the up cast is stricter and turning String into something else is not allowed, i.e. `Seq("str").toDS.as[Boolean]` will fail during analysis. To restore the behavior before Spark 3.0, set `spark.sql.legacy.doLooseUpcast` to `true`.
+
 ### DDL Statements
 
   - In Spark 3.0, when inserting a value into a table column with a different data type, the type coercion is performed as per ANSI SQL standard. Certain unreasonable type conversions such as converting `string` to `int` and `double` to `boolean` are disallowed. A runtime exception is thrown if the value is out-of-range for the data type of the column. In Spark version 2.4 and below, type conversions during table insertion are allowed as long as they are valid `Cast`. When inserting an out-of-range value to an integral field, the low-order bits of the value is inserted(the same as Java/Scala numeric type casting). For example, if 257 is inserted to a field of byte type, the result is 1. The behavior is controlled by the option `spark.sql.storeAssignmentPolicy`, with a default value as "ANSI". Setting the option as "Legacy" restores the previous behavior.
@@ -464,8 +466,6 @@ license: |
     need to specify a value with units like "30s" now, to avoid being interpreted as milliseconds; otherwise,
     the extremely short interval that results will likely cause applications to fail.
 
-  - When turning a Dataset to another Dataset, Spark will up cast the fields in the original Dataset to the type of corresponding fields in the target DataSet. In version 2.4 and earlier, this up cast is not very strict, e.g. `Seq("str").toDS.as[Int]` fails, but `Seq("str").toDS.as[Boolean]` works and throw NPE during execution. In Spark 3.0, the up cast is stricter and turning String into something else is not allowed, i.e. `Seq("str").toDS.as[Boolean]` will fail during analysis. To restore the behavior before 2.4.1, set `spark.sql.legacy.looseUpcast` to `true`.
-
 ## Upgrading from Spark SQL 2.3 to 2.4
 
   - In Spark version 2.3 and earlier, the second parameter to array_contains function is implicitly promoted to the element type of first array type parameter. This type promotion can be lossy and may cause `array_contains` function to return wrong result. This problem has been addressed in 2.4 by employing a safer type promotion mechanism. This can cause some change in behavior and are illustrated in the table below.

From ac031d68a01f14cc73f05e83a790a6787aa6453d Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 11 Dec 2023 15:05:21 -0800
Subject: [PATCH 518/986] [SPARK-46369][CORE] Remove `kill` link from
 `RELAUNCHING` drivers in `MasterPage`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This PR aims to remove `kill` hyperlink from `RELAUNCHING` drivers in `MasterPage`.

### Why are the changes needed?

Since Apache Spark 1.4.0 (SPARK-5495), `RELAUNCHING` drivers have `kill` hyperlinks in the `Completed Drivers` table.

![Screenshot 2023-12-11 at 1 02 29 PM](https://github.com/apache/spark/assets/9700541/38f4bf08-efb9-47e5-8a7a-f7d127429012)

However, this is a bug because the driver was already terminated by definition. Newly relaunched driver has an independent ID and there is no relationship with the previously terminated ID.

https://github.com/apache/spark/blob/7db85642600b1e3b39ca11e41d4e3e0bf1c8962b/core/src/main/scala/org/apache/spark/deploy/master/DriverState.scala#L27

If we clicked the `kill` link, `Master` always complains like the following.
```
23/12/11 21:25:50 INFO Master: Asked to kill driver 202312112113-00000
23/12/11 21:25:50 WARN Master: Driver 202312112113-00000 has already finished or does not exist
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44301 from dongjoon-hyun/SPARK-46369.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit e434c9f0d5792b7af43c87dd6145fd8a6a04d8e2)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/deploy/master/ui/MasterPage.scala   | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
index a71eb33a2fe1d..e7e90aa0a37da 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
@@ -322,8 +322,7 @@ private[ui] class MasterPage(parent: MasterWebUI) extends WebUIPage("") {
   private def driverRow(driver: DriverInfo, showDuration: Boolean): Seq[Node] = {
     val killLink = if (parent.killEnabled &&
       (driver.state == DriverState.RUNNING ||
-        driver.state == DriverState.SUBMITTED ||
-        driver.state == DriverState.RELAUNCHING)) {
+        driver.state == DriverState.SUBMITTED)) {
       val confirm =
         s"if (window.confirm('Are you sure you want to kill driver ${driver.id} ?')) " +
           "{ this.parentNode.submit(); return true; } else { return false; }"

From eb1e6ad13aab3960f1543b75bf3b75b3a7d62746 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 13 Dec 2023 18:04:38 +0800
Subject: [PATCH 519/986] [SPARK-46388][SQL] HiveAnalysis misses the pattern
 guard of `query.resolved`

### What changes were proposed in this pull request?

This PR adds `query.resolved` as a pattern guard when HiveAnalysis converts InsertIntoStatement to InsertIntoHiveTable.

### Why are the changes needed?

Due to https://github.com/apache/spark/pull/41262/files#diff-ed19f376a63eba52eea59ca71f3355d4495fad4fad4db9a3324aade0d4986a47R1080, the `table` field is resolved regardless of the query field. Before, it never got a chance to be resolved as `HiveTableRelation` and then match any rule of HiveAnalysis. But now, it gets the chance always and results in a spark-kernel bug - `Invalid call to toAttribute on unresolved object.`

```
insert into t2 select cast(a as short) from t where b=1;
Invalid call to toAttribute on unresolved object
```

### Does this PR introduce _any_ user-facing change?

no, bugfix for 3.5 and later

### How was this patch tested?

added new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44326 from yaooqinn/SPARK-46388.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit ccc436d829cd0b07088e2864cb1ecc55ab97a491)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/hive/HiveStrategies.scala       |  2 +-
 .../sql/hive/execution/SQLQuerySuite.scala    | 26 +++++++++++++++++++
 2 files changed, 27 insertions(+), 1 deletion(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala
index 3da3d4a0eb5c8..c53a6c378d457 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala
@@ -161,7 +161,7 @@ object HiveAnalysis extends Rule[LogicalPlan] {
   override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
     case InsertIntoStatement(
         r: HiveTableRelation, partSpec, _, query, overwrite, ifPartitionNotExists, _)
-        if DDLUtils.isHiveTable(r.tableMeta) =>
+        if DDLUtils.isHiveTable(r.tableMeta) && query.resolved =>
       InsertIntoHiveTable(r.tableMeta, partSpec, query, overwrite,
         ifPartitionNotExists, query.output.map(_.name))
 
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
index 9308d1eda146f..6160c3e5f6c65 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
@@ -2660,6 +2660,32 @@ abstract class SQLQuerySuiteBase extends QueryTest with SQLTestUtils with TestHi
       checkAnswer(df, Seq.empty[Row])
     }
   }
+
+  test("SPARK-46388: HiveAnalysis convert InsertIntoStatement to InsertIntoHiveTable " +
+    "iff child resolved") {
+    withTable("t") {
+      sql("CREATE TABLE t (a STRING)")
+      checkError(
+        exception = intercept[AnalysisException](sql("INSERT INTO t SELECT a*2 FROM t where b=1")),
+        errorClass = "UNRESOLVED_COLUMN.WITH_SUGGESTION",
+        sqlState = None,
+        parameters = Map("objectName" -> "`b`", "proposal" -> "`a`"),
+        context = ExpectedContext(
+          fragment = "b",
+          start = 38,
+          stop = 38) )
+      checkError(
+        exception = intercept[AnalysisException](
+          sql("INSERT INTO t SELECT cast(a as short) FROM t where b=1")),
+        errorClass = "UNRESOLVED_COLUMN.WITH_SUGGESTION",
+        sqlState = None,
+        parameters = Map("objectName" -> "`b`", "proposal" -> "`a`"),
+        context = ExpectedContext(
+          fragment = "b",
+          start = 51,
+          stop = 51))
+    }
+  }
 }
 
 @SlowHiveTest

From 908c472728f24034baf0b59f03b04ca148eabeca Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 14 Dec 2023 00:06:22 -0800
Subject: [PATCH 520/986] [SPARK-46396][SQL] Timestamp inference should not
 throw exception

### What changes were proposed in this pull request?

When setting `spark.sql.legacy.timeParserPolicy=LEGACY`, Spark will use the LegacyFastTimestampFormatter to infer potential timestamp columns. The inference shouldn't throw exception.

However, when the input is 23012150952, there is exception:

```

For input string: "23012150952"

java.lang.NumberFormatException: For input string: "23012150952"

at java.base/java.lang.NumberFormatException.forInputString(NumberFormatException.java:67)

at java.base/java.lang.Integer.parseInt(Integer.java:668)

at java.base/java.lang.Integer.parseInt(Integer.java:786)

at org.apache.commons.lang3.time.FastDateParser$NumberStrategy.parse(FastDateParser.java:304)

at org.apache.commons.lang3.time.FastDateParser.parse(FastDateParser.java:1045)

at org.apache.commons.lang3.time.FastDateFormat.parse(FastDateFormat.java:651)

at org.apache.spark.sql.catalyst.util.LegacyFastTimestampFormatter.parseOptional(TimestampFormatter.scala:418)

```

This PR is to fix the issue.

### Why are the changes needed?

Bug fix, Timestamp inference should not throw exception
### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

New test case + existing tests

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44338 from gengliangwang/fixParseOptional.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 4a79ae9d821e9b04fbe949251050c3e4819dff92)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/catalyst/util/TimestampFormatter.scala | 12 ++++++++----
 .../sql/catalyst/util/TimestampFormatterSuite.scala  |  3 ++-
 2 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
index 55eee41c14ca5..0866cee9334c5 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
@@ -414,10 +414,14 @@ class LegacyFastTimestampFormatter(
 
   override def parseOptional(s: String): Option[Long] = {
     cal.clear() // Clear the calendar because it can be re-used many times
-    if (fastDateFormat.parse(s, new ParsePosition(0), cal)) {
-      Some(extractMicros(cal))
-    } else {
-      None
+    try {
+      if (fastDateFormat.parse(s, new ParsePosition(0), cal)) {
+        Some(extractMicros(cal))
+      } else {
+        None
+      }
+    } catch {
+      case NonFatal(_) => None
     }
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
index 2134a0d6ecd36..27d60815766dc 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
@@ -502,10 +502,11 @@ class TimestampFormatterSuite extends DatetimeFormatterSuite {
 
     assert(fastFormatter.parseOptional("2023-12-31 23:59:59.9990").contains(1704067199999000L))
     assert(fastFormatter.parseOptional("abc").isEmpty)
+    assert(fastFormatter.parseOptional("23012150952").isEmpty)
 
     assert(simpleFormatter.parseOptional("2023-12-31 23:59:59.9990").contains(1704067208990000L))
     assert(simpleFormatter.parseOptional("abc").isEmpty)
-
+    assert(simpleFormatter.parseOptional("23012150952").isEmpty)
   }
 
   test("SPARK-45424: do not return optional parse results when only prefix match") {

From 8abf9583ac2303765255299af3e843d8248f313f Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 15 Dec 2023 18:55:10 +0800
Subject: [PATCH 521/986] [SPARK-46417][SQL] Do not fail when calling
 hive.getTable and throwException is false

### What changes were proposed in this pull request?

Uses can set up their own HMS and let Spark connects to it. We have no control over it and somtimes it's not even Hive but just a HMS-API-compatible service.

Spark should be more fault-tolerant when calling HMS APIs. This PR fixes an issue in `hive.getTable` with `throwException = false`, to make sure we don't throw error when can't fetch the table.

### Why are the changes needed?

avoid query failure caused by HMS bugs.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

in our product environment

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44364 from cloud-fan/hive.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 59488039f58b18617cd6dfd6dbe3bf014af222e7)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/sql/hive/client/HiveShim.scala | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
index 60ff9ec42f29d..7025e09ae9d9e 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
@@ -620,7 +620,13 @@ private[client] class Shim_v0_12 extends Shim with Logging {
       tableName: String,
       throwException: Boolean): Table = {
     recordHiveCall()
-    val table = hive.getTable(dbName, tableName, throwException)
+    val table = try {
+      hive.getTable(dbName, tableName, throwException)
+    } catch {
+      // Hive may have bugs and still throw an exception even if `throwException` is false.
+      case e: HiveException if !throwException =>
+        null
+    }
     if (table != null) {
       table.getTTable.setTableName(tableName)
       table.getTTable.setDbName(dbName)

From cc4f5787414e4392499a349dec5b24c8e25e50f3 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Tue, 19 Dec 2023 12:21:20 +0300
Subject: [PATCH 522/986] [SPARK-46453][CONNECT] Throw exception from
 `internalError()` in `SessionHolder`

### What changes were proposed in this pull request?
In the PR, I propose to throw `SparkException` returned by `internalError` in `SessionHolder`.

### Why are the changes needed?
Without the bug fix user won't see the internal error.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
N/a

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44400 from MaxGekk/throw-internal-error.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit dc0bfc4c700c347f2f58625facec8c5771bde59a)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../org/apache/spark/sql/connect/service/SessionHolder.scala  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 1cef02d7e3466..218819d114c12 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -197,7 +197,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    */
   private[connect] def cacheDataFrameById(dfId: String, df: DataFrame): Unit = {
     if (dataFrameCache.putIfAbsent(dfId, df) != null) {
-      SparkException.internalError(s"A dataframe is already associated with id $dfId")
+      throw SparkException.internalError(s"A dataframe is already associated with id $dfId")
     }
   }
 
@@ -221,7 +221,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
    */
   private[connect] def cacheListenerById(id: String, listener: StreamingQueryListener): Unit = {
     if (listenerCache.putIfAbsent(id, listener) != null) {
-      SparkException.internalError(s"A listener is already associated with id $id")
+      throw SparkException.internalError(s"A listener is already associated with id $id")
     }
   }
 

From 0c00c54583fe3e56f940425aac6e0e4f05c4b9db Mon Sep 17 00:00:00 2001
From: zhouyifan279 <zhouyifan279@gmail.com>
Date: Wed, 20 Dec 2023 16:50:38 +0800
Subject: [PATCH 523/986] [SPARK-46330] Loading of Spark UI blocks for a long
 time when HybridStore enabled

### What changes were proposed in this pull request?
Move `LoadedAppUI` invalidate operation out of `FsHistoryProvider` synchronized block.

### Why are the changes needed?
When closing a HybridStore of a `LoadedAppUI` with a lot of data waiting to be written to disk, loading of other Spark UIs will be blocked for a long time.

See more details at https://issues.apache.org/jira/browse/SPARK-46330

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Passed existing tests.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44260 from zhouyifan279/SPARK-46330.

Authored-by: zhouyifan279 <zhouyifan279@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit cf54e8f9a51bf54e8fa3e1011ac370e46134b134)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/deploy/history/FsHistoryProvider.scala      | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala b/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
index 49b479f3124e9..387bc7d9e45b3 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
@@ -925,11 +925,12 @@ private[history] class FsHistoryProvider(conf: SparkConf, clock: Clock)
    * UI lifecycle.
    */
   private def invalidateUI(appId: String, attemptId: Option[String]): Unit = {
-    synchronized {
-      activeUIs.get((appId, attemptId)).foreach { ui =>
-        ui.invalidate()
-        ui.ui.store.close()
-      }
+    val uiOption = synchronized {
+      activeUIs.get((appId, attemptId))
+    }
+    uiOption.foreach { ui =>
+      ui.invalidate()
+      ui.ui.store.close()
     }
   }
 

From d7534a3ec1eab53bbd349f9ae31684337c734958 Mon Sep 17 00:00:00 2001
From: Aleksandar Tomic <aleksandar.tomic@databricks.com>
Date: Thu, 21 Dec 2023 15:58:15 +0800
Subject: [PATCH 524/986] [SPARK-46380][SQL] Replace current time/date prior to
 evaluating inline table expressions

With this PR proposal is to do inline table resolution in two phases:
1) If there are no expressions that depend on current context (e.g. expressions that depend on CURRENT_DATABASE, CURRENT_USER, CURRENT_TIME etc.) they will be evaluated as part of ResolveInlineTable rule.
2) Expressions that do depend on CURRENT_* evaluation will be kept as expressions and they evaluation will be delayed to post analysis phase.

This PR aims to solve two problems with inline tables.

Example1:
```sql
SELECT COUNT(DISTINCT ct) FROM VALUES
(CURRENT_TIMESTAMP()),
(CURRENT_TIMESTAMP()),
(CURRENT_TIMESTAMP()) as data(ct)
```
Prior to this change this example would return 3 (i.e. all CURRENT_TIMESTAMP expressions would return different value since they would be evaluated individually as part of inline table evaluation). After this change result is 1.

Example 2:
```sql
CREATE VIEW V as (SELECT * FROM VALUES(CURRENT_TIMESTAMP())
```
In this example VIEW would be saved with literal evaluated during VIEW creation. After this change CURRENT_TIMESTAMP() will eval during VIEW execution.

See section above.

New test that validates this behaviour is introduced.

No.

Closes #44316 from dbatomic/inline_tables_curr_time_fix.

Lead-authored-by: Aleksandar Tomic <aleksandar.tomic@databricks.com>
Co-authored-by: Aleksandar Tomic <150942779+dbatomic@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 5fe963f8560ef05925d127e82ab7ef28d6a1d7bc)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveInlineTables.scala        | 68 ++++++++++---------
 .../sql/catalyst/analysis/unresolved.scala    | 15 ++++
 .../sql/catalyst/optimizer/Optimizer.scala    |  4 +-
 .../catalyst/optimizer/finishAnalysis.scala   | 33 +++++++++
 .../sql/catalyst/rules/RuleIdCollection.scala |  1 +
 .../sql/catalyst/trees/TreePatterns.scala     |  1 +
 .../analysis/ResolveInlineTablesSuite.scala   | 31 +++++++--
 .../analyzer-results/inline-table.sql.out     | 16 ++++-
 .../postgreSQL/create_view.sql.out            |  2 +-
 .../sql-tests/inputs/inline-table.sql         |  6 ++
 .../sql-tests/results/inline-table.sql.out    | 16 +++++
 .../spark/sql/execution/SQLViewSuite.scala    | 14 ++++
 12 files changed, 165 insertions(+), 42 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
index 760ea466b8579..73600f5c70649 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala
@@ -17,28 +17,29 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
-import scala.util.control.NonFatal
-
-import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.expressions.{AliasHelper, EvalHelper}
-import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan}
+import org.apache.spark.sql.catalyst.expressions.{AliasHelper, EvalHelper, Expression}
+import org.apache.spark.sql.catalyst.optimizer.EvalInlineTables
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.AlwaysProcess
+import org.apache.spark.sql.catalyst.trees.TreePattern.CURRENT_LIKE
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.TypeUtils.{toSQLExpr, toSQLId}
 import org.apache.spark.sql.types.{StructField, StructType}
 
 /**
- * An analyzer rule that replaces [[UnresolvedInlineTable]] with [[LocalRelation]].
+ * An analyzer rule that replaces [[UnresolvedInlineTable]] with [[ResolvedInlineTable]].
  */
 object ResolveInlineTables extends Rule[LogicalPlan]
   with CastSupport with AliasHelper with EvalHelper {
-  override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
-    AlwaysProcess.fn, ruleId) {
-    case table: UnresolvedInlineTable if table.expressionsResolved =>
-      validateInputDimension(table)
-      validateInputEvaluable(table)
-      convert(table)
+  override def apply(plan: LogicalPlan): LogicalPlan = {
+    plan.resolveOperatorsWithPruning(AlwaysProcess.fn, ruleId) {
+      case table: UnresolvedInlineTable if table.expressionsResolved =>
+        validateInputDimension(table)
+        validateInputEvaluable(table)
+        val resolvedTable = findCommonTypesAndCast(table)
+        earlyEvalIfPossible(resolvedTable)
+    }
   }
 
   /**
@@ -74,7 +75,10 @@ object ResolveInlineTables extends Rule[LogicalPlan]
     table.rows.foreach { row =>
       row.foreach { e =>
         // Note that nondeterministic expressions are not supported since they are not foldable.
-        if (!e.resolved || !trimAliases(prepareForEval(e)).foldable) {
+        // Only exception are CURRENT_LIKE expressions, which are replaced by a literal
+        // In later stages.
+        if ((!e.resolved && !e.containsPattern(CURRENT_LIKE))
+          || !trimAliases(prepareForEval(e)).foldable) {
           e.failAnalysis(
             errorClass = "INVALID_INLINE_TABLE.CANNOT_EVALUATE_EXPRESSION_IN_INLINE_TABLE",
             messageParameters = Map("expr" -> toSQLExpr(e)))
@@ -84,14 +88,12 @@ object ResolveInlineTables extends Rule[LogicalPlan]
   }
 
   /**
-   * Convert a valid (with right shape and foldable inputs) [[UnresolvedInlineTable]]
-   * into a [[LocalRelation]].
-   *
    * This function attempts to coerce inputs into consistent types.
    *
    * This is package visible for unit testing.
    */
-  private[analysis] def convert(table: UnresolvedInlineTable): LocalRelation = {
+  private[analysis] def findCommonTypesAndCast(table: UnresolvedInlineTable):
+    ResolvedInlineTable = {
     // For each column, traverse all the values and find a common data type and nullability.
     val fields = table.rows.transpose.zip(table.names).map { case (column, name) =>
       val inputTypes = column.map(_.dataType)
@@ -105,26 +107,30 @@ object ResolveInlineTables extends Rule[LogicalPlan]
     val attributes = DataTypeUtils.toAttributes(StructType(fields))
     assert(fields.size == table.names.size)
 
-    val newRows: Seq[InternalRow] = table.rows.map { row =>
-      InternalRow.fromSeq(row.zipWithIndex.map { case (e, ci) =>
-        val targetType = fields(ci).dataType
-        try {
+    val castedRows: Seq[Seq[Expression]] = table.rows.map { row =>
+      row.zipWithIndex.map {
+        case (e, ci) =>
+          val targetType = fields(ci).dataType
           val castedExpr = if (DataTypeUtils.sameType(e.dataType, targetType)) {
             e
           } else {
             cast(e, targetType)
           }
-          prepareForEval(castedExpr).eval()
-        } catch {
-          case NonFatal(ex) =>
-            table.failAnalysis(
-              errorClass = "INVALID_INLINE_TABLE.FAILED_SQL_EXPRESSION_EVALUATION",
-              messageParameters = Map("sqlExpr" -> toSQLExpr(e)),
-              cause = ex)
-        }
-      })
+          castedExpr
+      }
     }
 
-    LocalRelation(attributes, newRows)
+    ResolvedInlineTable(castedRows, attributes)
+  }
+
+  /**
+   * This function attempts to early evaluate rows in inline table.
+   * If evaluation doesn't rely on non-deterministic expressions (e.g. current_like)
+   * expressions will be evaluated and inlined as [[LocalRelation]]
+   * This is package visible for unit testing.
+   */
+  private[analysis] def earlyEvalIfPossible(table: ResolvedInlineTable): LogicalPlan = {
+      val earlyEvalPossible = table.rows.flatten.forall(!_.containsPattern(CURRENT_LIKE))
+      if (earlyEvalPossible) EvalInlineTables(table) else table
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
index b1dcb465b4778..07ad5e57306a5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
@@ -126,6 +126,21 @@ case class UnresolvedInlineTable(
   lazy val expressionsResolved: Boolean = rows.forall(_.forall(_.resolved))
 }
 
+/**
+ * An resolved inline table that holds all the expressions that were checked for
+ * the right shape and common data types.
+ * This is a preparation step for [[org.apache.spark.sql.catalyst.optimizer.EvalInlineTables]] which
+ * will produce a [[org.apache.spark.sql.catalyst.plans.logical.LocalRelation]]
+ * for this inline table.
+ *
+ * @param output list of column attributes
+ * @param rows expressions for the data rows
+ */
+case class ResolvedInlineTable(rows: Seq[Seq[Expression]], output: Seq[Attribute])
+  extends LeafNode {
+  final override val nodePatterns: Seq[TreePattern] = Seq(INLINE_TABLE_EVAL)
+}
+
 /**
  * A table-valued function, e.g.
  * {{{
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index bb2a86556c031..ec5f00d34cd8c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -287,7 +287,9 @@ abstract class Optimizer(catalogManager: CatalogManager)
       ComputeCurrentTime,
       ReplaceCurrentLike(catalogManager),
       SpecialDatetimeValues,
-      RewriteAsOfJoin)
+      RewriteAsOfJoin,
+      EvalInlineTables
+    )
 
     override def apply(plan: LogicalPlan): LogicalPlan = {
       rules.foldLeft(plan) { case (sp, rule) => rule.apply(sp) }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/finishAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/finishAnalysis.scala
index 466781fa1def7..d7efc16a514bd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/finishAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/finishAnalysis.scala
@@ -19,7 +19,12 @@ package org.apache.spark.sql.catalyst.optimizer
 
 import java.time.{Instant, LocalDateTime}
 
+import scala.util.control.NonFatal
+
 import org.apache.spark.sql.catalyst.CurrentUserContext.CURRENT_USER
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.analysis.{CastSupport, ResolvedInlineTable}
+import org.apache.spark.sql.catalyst.analysis.ResolveInlineTables.prepareForEval
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
@@ -27,6 +32,7 @@ import org.apache.spark.sql.catalyst.trees.TreePattern._
 import org.apache.spark.sql.catalyst.trees.TreePatternBits
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.catalyst.util.DateTimeUtils.{convertSpecialDate, convertSpecialTimestamp, convertSpecialTimestampNTZ, instantToMicros, localDateTimeToMicros}
+import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLExpr
 import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.types._
 import org.apache.spark.util.Utils
@@ -71,6 +77,33 @@ object RewriteNonCorrelatedExists extends Rule[LogicalPlan] {
   }
 }
 
+/**
+ * Computes expressions in inline tables. This rule is supposed to be called at the very end
+ * of the analysis phase, given that all the expressions need to be fully resolved/replaced
+ * at this point.
+ */
+object EvalInlineTables extends Rule[LogicalPlan] with CastSupport {
+  override def apply(plan: LogicalPlan): LogicalPlan = {
+    plan.transformDownWithSubqueriesAndPruning(_.containsPattern(INLINE_TABLE_EVAL)) {
+      case table: ResolvedInlineTable =>
+        val newRows: Seq[InternalRow] =
+          table.rows.map { row => InternalRow.fromSeq(row.map { e =>
+              try {
+                prepareForEval(e).eval()
+              } catch {
+                case NonFatal(ex) =>
+                  table.failAnalysis(
+                    errorClass = "INVALID_INLINE_TABLE.FAILED_SQL_EXPRESSION_EVALUATION",
+                    messageParameters = Map("sqlExpr" -> toSQLExpr(e)),
+                    cause = ex)
+              }})
+          }
+
+        LocalRelation(table.output, newRows)
+    }
+  }
+}
+
 /**
  * Computes the current date and time to make sure we return the same result in a single query.
  */
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleIdCollection.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleIdCollection.scala
index caf679f3e7a7a..96f78d251c39a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleIdCollection.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleIdCollection.scala
@@ -166,6 +166,7 @@ object RuleIdCollection {
       "org.apache.spark.sql.catalyst.optimizer.SimplifyConditionals" ::
       "org.apache.spark.sql.catalyst.optimizer.SimplifyExtractValueOps" ::
       "org.apache.spark.sql.catalyst.optimizer.TransposeWindow" ::
+      "org.apache.spark.sql.catalyst.optimizer.EvalInlineTables" ::
       "org.apache.spark.sql.catalyst.optimizer.UnwrapCastInBinaryComparison" ::  Nil
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
index bf7b2db1719f5..ce8f5951839e1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreePatterns.scala
@@ -53,6 +53,7 @@ object TreePattern extends Enumeration  {
   val IF: Value = Value
   val IN: Value = Value
   val IN_SUBQUERY: Value = Value
+  val INLINE_TABLE_EVAL: Value = Value
   val INSET: Value = Value
   val INTERSECT: Value = Value
   val INVOKE: Value = Value
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTablesSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTablesSuite.scala
index 2e6c6e4eaf4c3..758b6b73e4eb1 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTablesSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTablesSuite.scala
@@ -20,8 +20,9 @@ package org.apache.spark.sql.catalyst.analysis
 import org.scalatest.BeforeAndAfter
 
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.expressions.{Alias, Cast, Literal, Rand}
+import org.apache.spark.sql.catalyst.expressions.{Alias, Cast, CurrentTimestamp, Literal, Rand}
 import org.apache.spark.sql.catalyst.expressions.aggregate.Count
+import org.apache.spark.sql.catalyst.optimizer.{ComputeCurrentTime, EvalInlineTables}
 import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
 import org.apache.spark.sql.types.{LongType, NullType, TimestampType}
 
@@ -83,9 +84,10 @@ class ResolveInlineTablesSuite extends AnalysisTest with BeforeAndAfter {
     assert(ResolveInlineTables(table) == table)
   }
 
-  test("convert") {
+  test("cast and execute") {
     val table = UnresolvedInlineTable(Seq("c1"), Seq(Seq(lit(1)), Seq(lit(2L))))
-    val converted = ResolveInlineTables.convert(table)
+    val resolved = ResolveInlineTables.findCommonTypesAndCast(table)
+    val converted = ResolveInlineTables.earlyEvalIfPossible(resolved).asInstanceOf[LocalRelation]
 
     assert(converted.output.map(_.dataType) == Seq(LongType))
     assert(converted.data.size == 2)
@@ -93,11 +95,28 @@ class ResolveInlineTablesSuite extends AnalysisTest with BeforeAndAfter {
     assert(converted.data(1).getLong(0) == 2L)
   }
 
+  test("cast and execute CURRENT_LIKE expressions") {
+    val table = UnresolvedInlineTable(Seq("c1"), Seq(
+      Seq(CurrentTimestamp()), Seq(CurrentTimestamp())))
+    val casted = ResolveInlineTables.findCommonTypesAndCast(table)
+    val earlyEval = ResolveInlineTables.earlyEvalIfPossible(casted)
+    // Early eval should keep it in expression form.
+    assert(earlyEval.isInstanceOf[ResolvedInlineTable])
+
+    EvalInlineTables(ComputeCurrentTime(earlyEval)) match {
+      case LocalRelation(output, data, _) =>
+        assert(output.map(_.dataType) == Seq(TimestampType))
+        assert(data.size == 2)
+        // Make sure that both CURRENT_TIMESTAMP expressions are evaluated to the same value.
+        assert(data(0).getLong(0) == data(1).getLong(0))
+    }
+  }
+
   test("convert TimeZoneAwareExpression") {
     val table = UnresolvedInlineTable(Seq("c1"),
       Seq(Seq(Cast(lit("1991-12-06 00:00:00.0"), TimestampType))))
     val withTimeZone = ResolveTimeZone.apply(table)
-    val LocalRelation(output, data, _) = ResolveInlineTables.apply(withTimeZone)
+    val LocalRelation(output, data, _) = EvalInlineTables(ResolveInlineTables.apply(withTimeZone))
     val correct = Cast(lit("1991-12-06 00:00:00.0"), TimestampType)
       .withTimeZone(conf.sessionLocalTimeZone).eval().asInstanceOf[Long]
     assert(output.map(_.dataType) == Seq(TimestampType))
@@ -107,11 +126,11 @@ class ResolveInlineTablesSuite extends AnalysisTest with BeforeAndAfter {
 
   test("nullability inference in convert") {
     val table1 = UnresolvedInlineTable(Seq("c1"), Seq(Seq(lit(1)), Seq(lit(2L))))
-    val converted1 = ResolveInlineTables.convert(table1)
+    val converted1 = ResolveInlineTables.findCommonTypesAndCast(table1)
     assert(!converted1.schema.fields(0).nullable)
 
     val table2 = UnresolvedInlineTable(Seq("c1"), Seq(Seq(lit(1)), Seq(Literal(null, NullType))))
-    val converted2 = ResolveInlineTables.convert(table2)
+    val converted2 = ResolveInlineTables.findCommonTypesAndCast(table2)
     assert(converted2.schema.fields(0).nullable)
   }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
index 2a17f092a06b7..adce16bf23578 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/inline-table.sql.out
@@ -73,9 +73,7 @@ Project [a#x, b#x]
 -- !query
 select a from values ("one", current_timestamp) as data(a, b)
 -- !query analysis
-Project [a#x]
-+- SubqueryAlias data
-   +- LocalRelation [a#x, b#x]
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
@@ -241,3 +239,15 @@ select * from values (10 + try_divide(5, 0))
 -- !query analysis
 Project [col1#x]
 +- LocalRelation [col1#x]
+
+
+-- !query
+select count(distinct ct) from values now(), now(), now() as data(ct)
+-- !query analysis
+[Analyzer test output redacted due to nondeterminism]
+
+
+-- !query
+select count(distinct ct) from values current_timestamp(), current_timestamp() as data(ct)
+-- !query analysis
+[Analyzer test output redacted due to nondeterminism]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
index b199cb55f2a44..7f477c80d46ca 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/postgreSQL/create_view.sql.out
@@ -1661,7 +1661,7 @@ select * from tt7a left join tt8a using (x), tt8a tt8ax, false, false, Persisted
       :- Project [a#x, b#x, c#x, d#x, e#x]
       :  +- SubqueryAlias v
       :     +- Project [col1#x AS a#x, col2#x AS b#x, col3#x AS c#x, col4#x AS d#x, col5#x AS e#x]
-      :        +- LocalRelation [col1#x, col2#x, col3#x, col4#x, col5#x]
+      :        +- ResolvedInlineTable [[now(), 2, 3, now(), 5]], [col1#x, col2#x, col3#x, col4#x, col5#x]
       +- Project [cast(x#x as timestamp) AS x#x, y#x, z#x, x#x, z#x]
          +- Project [x#x, y#x, z#x, x#x, z#x]
             +- Join Inner
diff --git a/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql b/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
index 6867248f5765d..8f65dc77c960a 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/inline-table.sql
@@ -60,3 +60,9 @@ select * from values (timestamp('1991-12-06 00:00:00.0'), array(timestamp('1991-
 select * from values (try_add(5, 0));
 select * from values (try_divide(5, 0));
 select * from values (10 + try_divide(5, 0));
+
+-- now() should be kept as tempResolved inline expression.
+select count(distinct ct) from values now(), now(), now() as data(ct);
+
+-- current_timestamp() should be kept as tempResolved inline expression.
+select count(distinct ct) from values current_timestamp(), current_timestamp() as data(ct);
diff --git a/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out b/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
index 709d7ab73f6c4..b6c90b95c1d34 100644
--- a/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/inline-table.sql.out
@@ -266,3 +266,19 @@ select * from values (10 + try_divide(5, 0))
 struct<col1:double>
 -- !query output
 NULL
+
+
+-- !query
+select count(distinct ct) from values now(), now(), now() as data(ct)
+-- !query schema
+struct<count(DISTINCT ct):bigint>
+-- !query output
+1
+
+
+-- !query
+select count(distinct ct) from values current_timestamp(), current_timestamp() as data(ct)
+-- !query schema
+struct<count(DISTINCT ct):bigint>
+-- !query output
+1
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
index e258d600a2aa8..a1147c16cc861 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
@@ -1216,4 +1216,18 @@ abstract class SQLViewSuite extends QueryTest with SQLTestUtils {
       }
     }
   }
+
+  test("Inline table with current time expression") {
+    withView("v1") {
+      sql("CREATE VIEW v1 (t1, t2) AS SELECT * FROM VALUES (now(), now())")
+      val r1 = sql("select t1, t2 from v1").collect()(0)
+      val ts1 = (r1.getTimestamp(0), r1.getTimestamp(1))
+      assert(ts1._1 == ts1._2)
+      Thread.sleep(1)
+      val r2 = sql("select t1, t2 from v1").collect()(0)
+      val ts2 = (r2.getTimestamp(0), r2.getTimestamp(1))
+      assert(ts2._1 == ts2._2)
+      assert(ts1._1.getTime < ts2._1.getTime)
+    }
+  }
 }

From 286c469ad1305f91ea796fd453ae896617fb3883 Mon Sep 17 00:00:00 2001
From: Jiaan Geng <beliefer@163.com>
Date: Fri, 22 Dec 2023 09:55:00 +0800
Subject: [PATCH 525/986] [SPARK-46443][SQL] Decimal precision and scale should
 decided by H2 dialect

### What changes were proposed in this pull request?
This PR fix a but by make JDBC dialect decide the decimal precision and scale.

**How to reproduce the bug?**
https://github.com/apache/spark/pull/44397 proposed DS V2 push down `PERCENTILE_CONT` and `PERCENTILE_DISC`.
The bug fired when pushdown the below SQL to H2 JDBC.
`SELECT "DEPT",PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY "SALARY" ASC NULLS FIRST) FROM "test"."employee" WHERE 1=0 GROUP BY "DEPT"`

**The root cause**
`getQueryOutputSchema` used to get the output schema of query by call `JdbcUtils.getSchema`.
The query for database H2 show below.
`SELECT "DEPT",PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY "SALARY" ASC NULLS FIRST) FROM "test"."employee" WHERE 1=0 GROUP BY "DEPT"`
We can get the five variables from `ResultSetMetaData`, please refer:
```
columnName = "PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY SALARY NULLS FIRST)"
dataType = 2
typeName = "NUMERIC"
fieldSize = 100000
fieldScale = 50000
```
Then we get the catalyst schema with `JdbcUtils.getCatalystType`, it calls `DecimalType.bounded(precision, scale)` actually.
The `DecimalType.bounded(100000, 50000)` returns `DecimalType(38, 38)`.
At finally, `makeGetter` throws exception.
```
Caused by: org.apache.spark.SparkArithmeticException: [DECIMAL_PRECISION_EXCEEDS_MAX_PRECISION] Decimal precision 42 exceeds max precision 38. SQLSTATE: 22003
	at org.apache.spark.sql.errors.DataTypeErrors$.decimalPrecisionExceedsMaxPrecisionError(DataTypeErrors.scala:48)
	at org.apache.spark.sql.types.Decimal.set(Decimal.scala:124)
	at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:577)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$4(JdbcUtils.scala:408)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.nullSafeConvert(JdbcUtils.scala:552)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3(JdbcUtils.scala:408)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3$adapted(JdbcUtils.scala:406)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:358)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:339)
```

### Why are the changes needed?
This PR fix the bug that `JdbcUtils` can't get the correct decimal type.

### Does this PR introduce _any_ user-facing change?
'Yes'.
Fix a bug.

### How was this patch tested?
Manual tests in https://github.com/apache/spark/pull/44397

### Was this patch authored or co-authored using generative AI tooling?
'No'.

Closes #44398 from beliefer/SPARK-46443.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit a921da8509a19b2d23c30ad657725f760932236c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/jdbc/H2Dialect.scala    | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
index 8471a49153ff4..3f56eb035f5c3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
@@ -35,7 +35,7 @@ import org.apache.spark.sql.connector.catalog.functions.UnboundFunction
 import org.apache.spark.sql.connector.catalog.index.TableIndex
 import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, NamedReference}
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JdbcUtils}
-import org.apache.spark.sql.types.{BooleanType, ByteType, DataType, DecimalType, ShortType, StringType}
+import org.apache.spark.sql.types.{BooleanType, ByteType, DataType, DecimalType, MetadataBuilder, ShortType, StringType}
 
 private[sql] object H2Dialect extends JdbcDialect {
   override def canHandle(url: String): Boolean =
@@ -57,6 +57,20 @@ private[sql] object H2Dialect extends JdbcDialect {
   override def isSupportedFunction(funcName: String): Boolean =
     supportedFunctions.contains(funcName)
 
+  override def getCatalystType(
+      sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType] = {
+    sqlType match {
+      case Types.NUMERIC if size > 38 =>
+        // H2 supports very large decimal precision like 100000. The max precision in Spark is only
+        // 38. Here we shrink both the precision and scale of H2 decimal to fit Spark, and still
+        // keep the ratio between them.
+        val scale = if (null != md) md.build().getLong("scale") else 0L
+        val selectedScale = (DecimalType.MAX_PRECISION * (scale.toDouble / size.toDouble)).toInt
+        Option(DecimalType(DecimalType.MAX_PRECISION, selectedScale))
+      case _ => None
+    }
+  }
+
   override def getJDBCType(dt: DataType): Option[JdbcType] = dt match {
     case StringType => Option(JdbcType("CLOB", Types.CLOB))
     case BooleanType => Some(JdbcType("BOOLEAN", Types.BOOLEAN))

From 98042e34796ec8d83071256142f8e121f50ad1f4 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 22 Dec 2023 11:45:10 +0800
Subject: [PATCH 526/986] [SPARK-46464][DOC] Fix the scroll issue of tables
 when overflow

### What changes were proposed in this pull request?

https://spark.apache.org/docs/3.4.1/running-on-kubernetes.html#spark-properties
https://spark.apache.org/docs/latest/running-on-kubernetes.html#spark-properties

As listed above, the doc content in 3.5.0 cannot scroll horizontally. Users can only see the rest of its content when a table overflows if they zoom out as much as possible, resulting in hard-to-read minor characters.

This PR changes the HTML body overflow-x from hidden to auto to enable the underlying table to scroll horizontally.

### Why are the changes needed?

Fix documentation

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

#### Before
![image](https://github.com/apache/spark/assets/8326978/437bee91-ab0d-4616-aaaf-f99171dcf9f9)

#### After
![image](https://github.com/apache/spark/assets/8326978/327ed82b-3e14-4a27-be1a-835a7b21c000)

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44423 from yaooqinn/SPARK-46464.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit fc7d7bce7732a2bccb3a7ccf3ed6bed4ac65f8fc)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/css/custom.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/css/custom.css b/docs/css/custom.css
index e7416d9ded618..1239c0ed440ef 100644
--- a/docs/css/custom.css
+++ b/docs/css/custom.css
@@ -7,7 +7,7 @@ body {
   font-style: normal;
   font-weight: 400;
   overflow-wrap: anywhere;
-  overflow-x: hidden;
+  overflow-x: auto;
   padding-top: 80px;
 }
 

From a001482b43d24b4761049687b87bceba0e21c8fd Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Fri, 22 Dec 2023 17:28:59 +0800
Subject: [PATCH 527/986] [SPARK-46480][CORE][SQL][3.5] Fix NPE when table
 cache task attempt

This pr backports https://github.com/apache/spark/pull/44445 for branch-3.5

### What changes were proposed in this pull request?

This pr adds a check: we only mark the cached partition is materialized if the task is not failed and not interrupted. And adds a new method `isFailed` in `TaskContext`.

### Why are the changes needed?

Before this pr, when do cache, task failure can cause NPE in other tasks

```
java.lang.NullPointerException
	at java.nio.ByteBuffer.wrap(ByteBuffer.java:396)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificColumnarIterator.accessors1$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificColumnarIterator.hasNext(Unknown Source)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
	at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:155)
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
```

### Does this PR introduce _any_ user-facing change?

yes, it's a bug fix

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44457 from ulysses-you/fix-cache-3.5.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../scala/org/apache/spark/BarrierTaskContext.scala    |  2 ++
 core/src/main/scala/org/apache/spark/TaskContext.scala |  5 +++++
 .../main/scala/org/apache/spark/TaskContextImpl.scala  |  2 ++
 .../org/apache/spark/scheduler/TaskContextSuite.scala  | 10 ++++++++++
 project/MimaExcludes.scala                             |  4 +++-
 .../sql/execution/columnar/InMemoryRelation.scala      |  8 +++++---
 6 files changed, 27 insertions(+), 4 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala b/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
index ecc0c891ea161..94ba3fe64a859 100644
--- a/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
+++ b/core/src/main/scala/org/apache/spark/BarrierTaskContext.scala
@@ -193,6 +193,8 @@ class BarrierTaskContext private[spark] (
 
   override def isCompleted(): Boolean = taskContext.isCompleted()
 
+  override def isFailed(): Boolean = taskContext.isFailed()
+
   override def isInterrupted(): Boolean = taskContext.isInterrupted()
 
   override def addTaskCompletionListener(listener: TaskCompletionListener): this.type = {
diff --git a/core/src/main/scala/org/apache/spark/TaskContext.scala b/core/src/main/scala/org/apache/spark/TaskContext.scala
index 450c00928c9e6..af7aa4979dc1c 100644
--- a/core/src/main/scala/org/apache/spark/TaskContext.scala
+++ b/core/src/main/scala/org/apache/spark/TaskContext.scala
@@ -94,6 +94,11 @@ abstract class TaskContext extends Serializable {
    */
   def isCompleted(): Boolean
 
+  /**
+   * Returns true if the task has failed.
+   */
+  def isFailed(): Boolean
+
   /**
    * Returns true if the task has been killed.
    */
diff --git a/core/src/main/scala/org/apache/spark/TaskContextImpl.scala b/core/src/main/scala/org/apache/spark/TaskContextImpl.scala
index 526627c28607d..46273a1b6d687 100644
--- a/core/src/main/scala/org/apache/spark/TaskContextImpl.scala
+++ b/core/src/main/scala/org/apache/spark/TaskContextImpl.scala
@@ -275,6 +275,8 @@ private[spark] class TaskContextImpl(
   @GuardedBy("this")
   override def isCompleted(): Boolean = synchronized(completed)
 
+  override def isFailed(): Boolean = synchronized(failureCauseOpt.isDefined)
+
   override def isInterrupted(): Boolean = reasonIfKilled.isDefined
 
   override def getLocalProperty(key: String): String = localProperties.getProperty(key)
diff --git a/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
index 54a42c1a66184..a5c2cbf52aafd 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
@@ -669,6 +669,16 @@ class TaskContextSuite extends SparkFunSuite with BeforeAndAfter with LocalSpark
     assert(invocationOrder === Seq("C", "B", "A", "D"))
   }
 
+  test("SPARK-46480: Add isFailed in TaskContext") {
+    val context = TaskContext.empty()
+    var isFailed = false
+    context.addTaskCompletionListener[Unit] { context =>
+      isFailed = context.isFailed()
+    }
+    context.markTaskFailed(new RuntimeException())
+    context.markTaskCompleted(None)
+    assert(isFailed)
+  }
 }
 
 private object TaskContextSuite {
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 9805ad7f09d6e..376ddfde1b937 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -72,7 +72,9 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.FlatMapGroupsWithStateFunction"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.api.java.function.MapGroupsWithStateFunction"),
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SaveMode"),
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupState")
+    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.GroupState"),
+    // [SPARK-46480][CORE][SQL] Fix NPE when table cache task attempt
+    ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.isFailed")
   )
 
   // Default exclude rules
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
index 45d006b58e879..65f7835b42cf8 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
@@ -279,9 +279,11 @@ case class CachedRDDBuilder(
         cachedPlan.conf)
     }
     val cached = cb.mapPartitionsInternal { it =>
-      TaskContext.get().addTaskCompletionListener[Unit](_ => {
-        materializedPartitions.add(1L)
-      })
+      TaskContext.get().addTaskCompletionListener[Unit] { context =>
+        if (!context.isFailed() && !context.isInterrupted()) {
+          materializedPartitions.add(1L)
+        }
+      }
       new Iterator[CachedBatch] {
         override def hasNext: Boolean = it.hasNext
         override def next(): CachedBatch = {

From 0948e24c30f6f7a05110f6e45b6723897e095aeb Mon Sep 17 00:00:00 2001
From: Wenchen Fan <cloud0fan@gmail.com>
Date: Fri, 22 Dec 2023 23:25:12 +0800
Subject: [PATCH 528/986] [SPARK-46466][SQL][3.5] Vectorized parquet reader
 should never do rebase for timestamp ntz

backport https://github.com/apache/spark/pull/44428

### What changes were proposed in this pull request?

This fixes a correctness bug. The TIMESTAMP_NTZ is a new data type in Spark and has no legacy files that need to do calendar rebase. However, the vectorized parquet reader treat it the same as LTZ and may do rebase if the parquet file was written with the legacy rebase mode. This PR fixes it to never do rebase for NTZ.

### Why are the changes needed?

bug fix

### Does this PR introduce _any_ user-facing change?

Yes, now we can correctly write and read back NTZ value even if the date is before 1582.

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44446 from cloud-fan/ntz2.

Authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../parquet/ParquetVectorUpdaterFactory.java  | 31 ++++++++++---------
 .../parquet/ParquetQuerySuite.scala           | 12 +++++++
 2 files changed, 29 insertions(+), 14 deletions(-)

diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
index 42442cf8ea8a4..8c4fe20853879 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
@@ -109,24 +109,32 @@ public ParquetVectorUpdater getUpdater(ColumnDescriptor descriptor, DataType spa
           // For unsigned int64, it stores as plain signed int64 in Parquet when dictionary
           // fallbacks. We read them as decimal values.
           return new UnsignedLongUpdater();
-        } else if (isTimestamp(sparkType) &&
-            isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MICROS)) {
-          validateTimestampType(sparkType);
+        } else if (sparkType == DataTypes.TimestampType &&
+          isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MICROS)) {
           if ("CORRECTED".equals(datetimeRebaseMode)) {
             return new LongUpdater();
           } else {
             boolean failIfRebase = "EXCEPTION".equals(datetimeRebaseMode);
             return new LongWithRebaseUpdater(failIfRebase, datetimeRebaseTz);
           }
-        } else if (isTimestamp(sparkType) &&
-            isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MILLIS)) {
-          validateTimestampType(sparkType);
+        } else if (sparkType == DataTypes.TimestampType &&
+          isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MILLIS)) {
           if ("CORRECTED".equals(datetimeRebaseMode)) {
             return new LongAsMicrosUpdater();
           } else {
             final boolean failIfRebase = "EXCEPTION".equals(datetimeRebaseMode);
             return new LongAsMicrosRebaseUpdater(failIfRebase, datetimeRebaseTz);
           }
+        } else if (sparkType == DataTypes.TimestampNTZType &&
+          isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MICROS)) {
+          validateTimestampNTZType();
+          // TIMESTAMP_NTZ is a new data type and has no legacy files that need to do rebase.
+          return new LongUpdater();
+        } else if (sparkType == DataTypes.TimestampNTZType &&
+          isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit.MILLIS)) {
+          validateTimestampNTZType();
+          // TIMESTAMP_NTZ is a new data type and has no legacy files that need to do rebase.
+          return new LongAsMicrosUpdater();
         } else if (sparkType instanceof DayTimeIntervalType) {
           return new LongUpdater();
         }
@@ -196,12 +204,11 @@ boolean isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit unit) {
       ((TimestampLogicalTypeAnnotation) logicalTypeAnnotation).getUnit() == unit;
   }
 
-  void validateTimestampType(DataType sparkType) {
+  private void validateTimestampNTZType() {
     assert(logicalTypeAnnotation instanceof TimestampLogicalTypeAnnotation);
-    // Throw an exception if the Parquet type is TimestampLTZ and the Catalyst type is TimestampNTZ.
+    // Throw an exception if the Parquet type is TimestampLTZ as the Catalyst type is TimestampNTZ.
     // This is to avoid mistakes in reading the timestamp values.
-    if (((TimestampLogicalTypeAnnotation) logicalTypeAnnotation).isAdjustedToUTC() &&
-      sparkType == DataTypes.TimestampNTZType) {
+    if (((TimestampLogicalTypeAnnotation) logicalTypeAnnotation).isAdjustedToUTC()) {
       convertErrorForTimestampNTZ("int64 time(" + logicalTypeAnnotation + ")");
     }
   }
@@ -1152,10 +1159,6 @@ private static boolean isLongDecimal(DataType dt) {
     return false;
   }
 
-  private static boolean isTimestamp(DataType dt) {
-    return dt == DataTypes.TimestampType || dt == DataTypes.TimestampNTZType;
-  }
-
   private static boolean isDecimalTypeMatched(ColumnDescriptor descriptor, DataType dt) {
     DecimalType d = (DecimalType) dt;
     LogicalTypeAnnotation typeAnnotation = descriptor.getPrimitiveType().getLogicalTypeAnnotation();
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index ea5444a1791fd..828ec39c7d727 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -255,6 +255,18 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
     }
   }
 
+  test("SPARK-46466: write and read TimestampNTZ with legacy rebase mode") {
+    withSQLConf(SQLConf.PARQUET_REBASE_MODE_IN_WRITE.key -> "LEGACY") {
+      withTable("ts") {
+        sql("create table ts (c1 timestamp_ntz) using parquet")
+        sql("insert into ts values (timestamp_ntz'0900-01-01 01:10:10')")
+        withAllParquetReaders {
+          checkAnswer(spark.table("ts"), sql("select timestamp_ntz'0900-01-01 01:10:10'"))
+        }
+      }
+    }
+  }
+
   test("Enabling/disabling merging partfiles when merging parquet schema") {
     def testSchemaMerging(expectedColumnNumber: Int): Unit = {
       withTempDir { dir =>

From 432ab15013b7109d020fe66dee1c4287d9bc7cc3 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 27 Dec 2023 11:46:43 -0800
Subject: [PATCH 529/986] [SPARK-46478][SQL][3.5] Revert SPARK-43049 to use
 oracle varchar(255) for string

### What changes were proposed in this pull request?

Revert SPARK-43049 to use Oracle Varchar (255) for string for performance consideration

### Why are the changes needed?

for performance consideration

### Does this PR introduce _any_ user-facing change?

yes, storing strings in Oracle table, which is defined by spark DDL with string columns. Users will get an error if string values exceed 255

```java
org.apache.spark.SparkRuntimeException: [EXCEED_LIMIT_LENGTH] Exceeds char/varchar type length limitation: 255. SQLSTATE: 54006
[info]   at org.apache.spark.sql.errors.QueryExecutionErrors$.exceedMaxLimit(QueryExecutionErrors.scala:2512)
```

### How was this patch tested?

revised unit tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44493 from yaooqinn/SPARK-46478-B.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/jdbc/OracleIntegrationSuite.scala     |  3 +--
 .../sql/jdbc/v2/OracleIntegrationSuite.scala  | 23 ++++++++++++++-----
 .../apache/spark/sql/jdbc/v2/V2JDBCTest.scala |  2 +-
 .../sql/catalyst/util/CharVarcharUtils.scala  |  3 ++-
 .../apache/spark/sql/jdbc/OracleDialect.scala |  2 +-
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala |  4 ++--
 6 files changed, 24 insertions(+), 13 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
index 483f6087c81d2..70afad781ca25 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
@@ -173,8 +173,7 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with SharedSpark
   }
 
 
-  // SPARK-43049: Use CLOB instead of VARCHAR(255) for StringType for Oracle jdbc-am""
-  test("SPARK-12941: String datatypes to be mapped to CLOB in Oracle") {
+  test("SPARK-12941: String datatypes to be mapped to VARCHAR(255) in Oracle") {
     // create a sample dataframe with string type
     val df1 = sparkContext.parallelize(Seq(("foo"))).toDF("x")
     // write the dataframe to the oracle table tbl
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
index 5124199328ce2..6b5dd043a617f 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
@@ -22,8 +22,9 @@ import java.util.Locale
 
 import org.scalatest.time.SpanSugar._
 
-import org.apache.spark.SparkConf
+import org.apache.spark.{SparkConf, SparkRuntimeException}
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.util.CharVarcharUtils.CHAR_VARCHAR_TYPE_STRING_METADATA_KEY
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
 import org.apache.spark.sql.jdbc.DatabaseOnDocker
 import org.apache.spark.sql.types._
@@ -86,6 +87,11 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
       s"jdbc:oracle:thin:system/$oracle_password@//$ip:$port/xe"
   }
 
+  override val defaultMetadata: Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putString(CHAR_VARCHAR_TYPE_STRING_METADATA_KEY, "varchar(255)")
+    .build()
+
   override def sparkConf: SparkConf = super.sparkConf
     .set("spark.sql.catalog.oracle", classOf[JDBCTableCatalog].getName)
     .set("spark.sql.catalog.oracle.url", db.getJdbcUrl(dockerIp, externalPort))
@@ -104,11 +110,11 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", DecimalType(10, 0), true, defaultMetadata)
+    var expectedSchema = new StructType().add("ID", DecimalType(10, 0), true, super.defaultMetadata)
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE LONG")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", DecimalType(19, 0), true, defaultMetadata)
+    expectedSchema = new StructType().add("ID", DecimalType(19, 0), true, super.defaultMetadata)
     assert(t.schema === expectedSchema)
     // Update column type from LONG to INTEGER
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE INTEGER"
@@ -129,12 +135,17 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
 
   override def caseConvert(tableName: String): String = tableName.toUpperCase(Locale.ROOT)
 
-  test("SPARK-43049: Use CLOB instead of VARCHAR(255) for StringType for Oracle JDBC") {
+  test("SPARK-46478: Revert SPARK-43049 to use varchar(255) for string") {
     val tableName = catalogName + ".t1"
     withTable(tableName) {
       sql(s"CREATE TABLE $tableName(c1 string)")
-      sql(s"INSERT INTO $tableName SELECT rpad('hi', 256, 'spark')")
-      assert(sql(s"SELECT char_length(c1) from $tableName").head().get(0) === 256)
+      checkError(
+        exception = intercept[SparkRuntimeException] {
+          sql(s"INSERT INTO $tableName SELECT rpad('hi', 256, 'spark')")
+        },
+        errorClass = "EXCEED_LIMIT_LENGTH",
+        parameters = Map("limit" -> "255")
+      )
     }
   }
 }
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
index b5f5b0e5f20bd..99f435611f2c4 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
@@ -49,7 +49,7 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
 
   def notSupportsTableComment: Boolean = false
 
-  val defaultMetadata = new MetadataBuilder().putLong("scale", 0).build()
+  def defaultMetadata: Metadata = new MetadataBuilder().putLong("scale", 0).build()
 
   def testUpdateColumnNullability(tbl: String): Unit = {
     sql(s"CREATE TABLE $catalogName.alt_table (ID STRING NOT NULL)")
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
index b9d83d444909d..f3c272785a7be 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
@@ -28,7 +28,8 @@ import org.apache.spark.sql.types._
 
 object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
 
-  private val CHAR_VARCHAR_TYPE_STRING_METADATA_KEY = "__CHAR_VARCHAR_TYPE_STRING"
+  // visible for testing
+  private[sql] val CHAR_VARCHAR_TYPE_STRING_METADATA_KEY = "__CHAR_VARCHAR_TYPE_STRING"
 
   /**
    * Replaces CharType/VarcharType with StringType recursively in the given struct type. If a
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala
index 3a0333cca33fd..95774d38e50ea 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala
@@ -118,7 +118,7 @@ private case object OracleDialect extends JdbcDialect {
     case DoubleType => Some(JdbcType("NUMBER(19, 4)", java.sql.Types.DOUBLE))
     case ByteType => Some(JdbcType("NUMBER(3)", java.sql.Types.SMALLINT))
     case ShortType => Some(JdbcType("NUMBER(5)", java.sql.Types.SMALLINT))
-    case StringType => Some(JdbcType("CLOB", java.sql.Types.CLOB))
+    case StringType => Some(JdbcType("VARCHAR2(255)", java.sql.Types.VARCHAR))
     case _ => None
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 71c7245b06090..c4145f4cbf73b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -1274,7 +1274,7 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
   test("SPARK 12941: The data type mapping for StringType to Oracle") {
     val oracleDialect = JdbcDialects.get("jdbc:oracle://127.0.0.1/db")
     assert(oracleDialect.getJDBCType(StringType).
-      map(_.databaseTypeDefinition).get == "CLOB")
+      map(_.databaseTypeDefinition).get == "VARCHAR2(255)")
   }
 
   test("SPARK-16625: General data types to be mapped to Oracle") {
@@ -1292,7 +1292,7 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     assert(getJdbcType(oracleDialect, DoubleType) == "NUMBER(19, 4)")
     assert(getJdbcType(oracleDialect, ByteType) == "NUMBER(3)")
     assert(getJdbcType(oracleDialect, ShortType) == "NUMBER(5)")
-    assert(getJdbcType(oracleDialect, StringType) == "CLOB")
+    assert(getJdbcType(oracleDialect, StringType) == "VARCHAR2(255)")
     assert(getJdbcType(oracleDialect, BinaryType) == "BLOB")
     assert(getJdbcType(oracleDialect, DateType) == "DATE")
     assert(getJdbcType(oracleDialect, TimestampType) == "TIMESTAMP")

From 5d4a913e3f3ba906c029e5e8a08194eac8ef250e Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 28 Dec 2023 10:53:02 +0800
Subject: [PATCH 530/986] [SPARK-46514][TESTS] Fix
 HiveMetastoreLazyInitializationSuite

### What changes were proposed in this pull request?

This PR enabled the assertion in HiveMetastoreLazyInitializationSuite

### Why are the changes needed?

fix test intenton

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

pass HiveMetastoreLazyInitializationSuite

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44500 from yaooqinn/SPARK-46514.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit d0245d34c004935bb2c904bfd906836df3d574fa)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala  | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
index af11b817d65b0..b8739ce56e41a 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
@@ -61,11 +61,10 @@ class HiveMetastoreLazyInitializationSuite extends SparkFunSuite {
         spark.sql("show tables")
       })
       for (msg <- Seq(
-        "show tables",
         "Could not connect to meta store",
         "org.apache.thrift.transport.TTransportException",
         "Connection refused")) {
-        exceptionString.contains(msg)
+        assert(exceptionString.contains(msg))
       }
     } finally {
       Thread.currentThread().setContextClassLoader(originalClassLoader)

From 6838f0db692892fe5ffdd86e4a59a8e9733d5d1b Mon Sep 17 00:00:00 2001
From: zouxxyy <zouxinyu.zxy@alibaba-inc.com>
Date: Thu, 28 Dec 2023 19:57:01 +0300
Subject: [PATCH 531/986] [SPARK-46535][SQL] Fix NPE when describe extended a
 column without col stats

### What changes were proposed in this pull request?

### Why are the changes needed?

Currently executing DESCRIBE TABLE EXTENDED a column without col stats with v2 table will throw a null pointer exception.

```text
Cannot invoke "org.apache.spark.sql.connector.read.colstats.ColumnStatistics.min()" because the return value of "scala.Option.get()" is null
java.lang.NullPointerException: Cannot invoke "org.apache.spark.sql.connector.read.colstats.ColumnStatistics.min()" because the return value of "scala.Option.get()" is null
	at org.apache.spark.sql.execution.datasources.v2.DescribeColumnExec.run(DescribeColumnExec.scala:63)
	at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43)
	at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43)
	at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49)
	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:118)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$6(SQLExecution.scala:150)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:241)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$1(SQLExecution.scala:116)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:918)
```

This RP will fix it

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

Add a new test `describe extended (formatted) a column without col stats`

### Was this patch authored or co-authored using generative AI tooling?

Closes #44524 from Zouxxyy/dev/fix-stats.

Lead-authored-by: zouxxyy <zouxinyu.zxy@alibaba-inc.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit af8228ce9aee99eae9d08dbdefaaad32cf5438eb)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../datasources/v2/DescribeColumnExec.scala   |  2 +-
 .../command/v2/DescribeTableSuite.scala       | 21 +++++++++++++++++++
 2 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeColumnExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeColumnExec.scala
index 61ccda3fc9543..2683d8d547f00 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeColumnExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeColumnExec.scala
@@ -53,7 +53,7 @@ case class DescribeColumnExec(
           read.newScanBuilder(CaseInsensitiveStringMap.empty()).build() match {
             case s: SupportsReportStatistics =>
               val stats = s.estimateStatistics()
-              Some(stats.columnStats().get(FieldReference.column(column.name)))
+              Option(stats.columnStats().get(FieldReference.column(column.name)))
             case _ => None
           }
         case _ => None
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DescribeTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DescribeTableSuite.scala
index e2f2aee56115f..a21baebe24d8f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DescribeTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/DescribeTableSuite.scala
@@ -175,4 +175,25 @@ class DescribeTableSuite extends command.DescribeTableSuiteBase
           Row("max_col_len", "NULL")))
     }
   }
+
+  test("SPARK-46535: describe extended (formatted) a column without col stats") {
+    withNamespaceAndTable("ns", "tbl") { tbl =>
+      sql(
+        s"""
+           |CREATE TABLE $tbl
+           |(key INT COMMENT 'column_comment', col STRING)
+           |$defaultUsing""".stripMargin)
+
+      val descriptionDf = sql(s"DESCRIBE TABLE EXTENDED $tbl key")
+      assert(descriptionDf.schema.map(field => (field.name, field.dataType)) === Seq(
+        ("info_name", StringType),
+        ("info_value", StringType)))
+      QueryTest.checkAnswer(
+        descriptionDf,
+        Seq(
+          Row("col_name", "key"),
+          Row("data_type", "int"),
+          Row("comment", "column_comment")))
+    }
+  }
 }

From f0e5fc973c1c87dbe1b0574e5d14e97b55abfa03 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 2 Jan 2024 08:13:29 -0800
Subject: [PATCH 532/986] [SPARK-46562][SQL] Remove retrieval of `keytabFile`
 from `UserGroupInformation` in `HiveAuthFactory`

### What changes were proposed in this pull request?
This pr removed the retrieval of `keytabFile` from `UserGroupInformation` in `HiveAuthFactory` because `keytabFile` no longer exists in `UserGroupInformation` after Hadoop 3.0.3. Therefore, in `HiveAuthFactory`, `keytabFile` will always be null and in `HiveAuthFactory`, `keytabFile` will only be used when it is not null.

For the specific changes in Hadoop, please refer to https://issues.apache.org/jira/browse/HADOOP-9747 | https://github.com/apache/hadoop/commit/59cf7588779145ad5850ad63426743dfe03d8347.

### Why are the changes needed?
Clean up the invalid code.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44557 from LuciferYang/remove-keytabFile.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit bc7e949cf99382ecf70d5b59fca9e7e415fbbb48)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/hive/service/auth/HiveAuthFactory.java  | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
index 8d77b238ff41f..e3316cef241c3 100644
--- a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
+++ b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
@@ -17,7 +17,6 @@
 package org.apache.hive.service.auth;
 
 import java.io.IOException;
-import java.lang.reflect.Field;
 import java.lang.reflect.Method;
 import java.util.HashMap;
 import java.util.Map;
@@ -85,18 +84,9 @@ public String getAuthName() {
   public static final String HS2_PROXY_USER = "hive.server2.proxy.user";
   public static final String HS2_CLIENT_TOKEN = "hiveserver2ClientToken";
 
-  private static Field keytabFile = null;
   private static Method getKeytab = null;
   static {
     Class<?> clz = UserGroupInformation.class;
-    try {
-      keytabFile = clz.getDeclaredField("keytabFile");
-      keytabFile.setAccessible(true);
-    } catch (NoSuchFieldException nfe) {
-      LOG.debug("Cannot find private field \"keytabFile\" in class: " +
-        UserGroupInformation.class.getCanonicalName(), nfe);
-      keytabFile = null;
-    }
 
     try {
       getKeytab = clz.getDeclaredMethod("getKeytab");
@@ -347,9 +337,7 @@ public static boolean needUgiLogin(UserGroupInformation ugi, String principal, S
   private static String getKeytabFromUgi() {
     synchronized (UserGroupInformation.class) {
       try {
-        if (keytabFile != null) {
-          return (String) keytabFile.get(null);
-        } else if (getKeytab != null) {
+        if (getKeytab != null) {
           return (String) getKeytab.invoke(UserGroupInformation.getCurrentUser());
         } else {
           return null;

From 6e8dbacf8a1402878a2a4be295bbe78e7c78327e Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 15 Dec 2023 17:52:46 -0800
Subject: [PATCH 533/986] [SPARK-46425][INFRA] Pin the bundler version in CI

Currently documentation build is broken:

https://github.com/apache/spark/actions/runs/7226413850/job/19691970695

```
...
ERROR:  Error installing bundler:
	The last version of bundler (>= 0) to support your Ruby & RubyGems was 2.4.22. Try installing it with `gem install bundler -v 2.4.22`
	bundler requires Ruby version >= 3.0.0. The current ruby version is 2.7.0.0.
```

This PR uses the suggestion.

To recover the CI.

No, dev-only.

CI in this PR verify it.

No.

Closes #44376 from HyukjinKwon/SPARK-46425.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d0da1172b7d87b68a8af8464c6486aa586324241)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index f202a7d49c9a2..32f6a44102bf9 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -687,7 +687,7 @@ jobs:
         Rscript -e "install.packages(c('devtools', 'testthat', 'knitr', 'rmarkdown', 'markdown', 'e1071', 'roxygen2', 'ggplot2', 'mvtnorm', 'statmod'), repos='https://cloud.r-project.org/')"
         Rscript -e "devtools::install_version('pkgdown', version='2.0.1', repos='https://cloud.r-project.org')"
         Rscript -e "devtools::install_version('preferably', version='0.4', repos='https://cloud.r-project.org')"
-        gem install bundler
+        gem install bundler -v 2.4.22
         cd docs
         bundle install
     - name: R linter

From 2891d92e9d8a5050f457bb116530d46de3babf97 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 3 Jan 2024 05:54:57 -0800
Subject: [PATCH 534/986] [SPARK-46577][SQL]
 HiveMetastoreLazyInitializationSuite leaks hive's SessionState
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

The upcoming tests with the new hive configurations will have no effect due to the leaked SessionState.

```
06:21:12.848 pool-1-thread-1 INFO ThriftServerWithSparkContextInHttpSuite: Trying to start HiveThriftServer2: mode=http, attempt=0
....
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service:OperationManager is inited.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service:SessionManager is inited.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service: CLIService is inited.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service:ThriftBinaryCLIService is inited.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service: HiveServer2 is inited.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service:OperationManager is started.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service:SessionManager is started.
06:21:12.851 pool-1-thread-1 INFO AbstractService: Service: CLIService is started.
06:21:12.852 pool-1-thread-1 INFO AbstractService: Service:ThriftBinaryCLIService is started.
06:21:12.852 pool-1-thread-1 INFO ThriftCLIService: Starting ThriftBinaryCLIService on port 10000 with 5...500 worker threads
06:21:12.852 pool-1-thread-1 INFO AbstractService: Service:HiveServer2 is started.
```

As the logs above revealed, ThriftServerWithSparkContextInHttpSuite started the ThriftBinaryCLIService instead of the ThriftHttpCLIService. This is because in HiveClientImpl, the new configurations are only applied to hive conf during initializing but not for existing ones.

This cause ThriftServerWithSparkContextInHttpSuite retrying or even aborting.

### Why are the changes needed?

Fix flakiness in tests

### Does this PR introduce _any_ user-facing change?

no
### How was this patch tested?

ran tests locally with the hive-thriftserver module locally，
### Was this patch authored or co-authored using generative AI tooling?
no

Closes #44578 from yaooqinn/SPARK-46577.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 605fecd22cc18fc9b93fb26d4aa6088f5a314f92)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/hive/HiveMetastoreLazyInitializationSuite.scala     | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
index b8739ce56e41a..cb85993e5e099 100644
--- a/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
+++ b/sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreLazyInitializationSuite.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.hive
 
+import org.apache.hadoop.hive.ql.metadata.Hive
+import org.apache.hadoop.hive.ql.session.SessionState
 import org.apache.logging.log4j.LogManager
 import org.apache.logging.log4j.core.Logger
 
@@ -69,6 +71,10 @@ class HiveMetastoreLazyInitializationSuite extends SparkFunSuite {
     } finally {
       Thread.currentThread().setContextClassLoader(originalClassLoader)
       spark.sparkContext.setLogLevel(originalLevel.toString)
+      SparkSession.clearActiveSession()
+      SparkSession.clearDefaultSession()
+      SessionState.detachSession()
+      Hive.closeCurrent()
       spark.stop()
     }
   }

From fb90ade2c7390077d2755fc43b73e63f5cf44f21 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Wed, 3 Jan 2024 12:07:15 -0800
Subject: [PATCH 535/986] [SPARK-46546][DOCS] Fix the formatting of tables in
 `running-on-yarn` pages

### What changes were proposed in this pull request?
The pr aims to fix the formatting of tables in `running-on-yarn` pages.

### Why are the changes needed?
Make the tables on the page display normally.
Before:
<img width="1288" alt="image" src="https://github.com/apache/spark/assets/15246973/26facec4-d805-4549-a640-120c499bd7fd">

After:
<img width="1310" alt="image" src="https://github.com/apache/spark/assets/15246973/cf6c20ef-a4ce-4532-9acd-ab9cec41881a">

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually check.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44540 from panbingkun/SPARK-46546.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 85b44ccef4c4aeec302c12e03833590c7d8d6b9e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/running-on-yarn.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 9b4e59a119eeb..ce7121b806cb0 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -866,7 +866,7 @@ to avoid garbage collection issues during shuffle.
 The following extra configuration options are available when the shuffle service is running on YARN:
 
 <table>
-<thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr></thead>
+<thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>
 <tr>
   <td><code>spark.yarn.shuffle.stopOnFailure</code></td>
   <td><code>false</code></td>
@@ -875,6 +875,7 @@ The following extra configuration options are available when the shuffle service
     initialization. This prevents application failures caused by running containers on
     NodeManagers where the Spark Shuffle Service is not running.
   </td>
+  <td>2.1.0</td>
 </tr>
 <tr>
   <td><code>spark.yarn.shuffle.service.metrics.namespace</code></td>
@@ -883,6 +884,7 @@ The following extra configuration options are available when the shuffle service
     The namespace to use when emitting shuffle service metrics into Hadoop metrics2 system of the
     NodeManager.
   </td>
+  <td>3.2.0</td>
 </tr>
 <tr>
   <td><code>spark.yarn.shuffle.service.logs.namespace</code></td>
@@ -894,6 +896,7 @@ The following extra configuration options are available when the shuffle service
     may expect the logger name to look like a class name, it's generally recommended to provide a value which
     would be a valid Java package or class name and not include spaces.
   </td>
+  <td>3.3.0</td>
 </tr>
 <tr>
   <td><code>spark.shuffle.service.db.backend</code></td>

From 1b7ee9e56b30d99ae948ceb8ca42f025e3d24c96 Mon Sep 17 00:00:00 2001
From: Xinyi Yu <xinyi.yu@databricks.com>
Date: Fri, 5 Jan 2024 22:57:28 +0800
Subject: [PATCH 536/986] [SPARK-46602][SQL] Propagate `allowExisting` in view
 creation when the view/table does not exists

### What changes were proposed in this pull request?
This PR fixes the undesired behavior that concurrent `CREATE VIEW IF NOT EXISTS` queries could throw `TABLE_OR_VIEW_ALREADY_EXISTS` exceptions. It's because the current implementation did not propagate the 'IF NOT EXISTS' when the detecting view/table does not exists.

### Why are the changes needed?
Fix the above issue.

### Does this PR introduce _any_ user-facing change?
Yes in the sense that if fixes an issue in concurrent case.

### How was this patch tested?
Without the fix the following test failed while with this PR if passed. But following the [comment](https://github.com/apache/spark/pull/44603#discussion_r1442515458), I removed the test from this PR.
```scala
  test("CREATE VIEW IF NOT EXISTS never throws TABLE_OR_VIEW_ALREADY_EXISTS") {
    // Concurrently create a view with the same name, so that some of the queries may all
    // get that the view does not exist and try to create it. But with IF NOT EXISTS, the
    // queries should not fail.
    import ExecutionContext.Implicits.global
    val concurrency = 10
    val tableName = "table_name"
    val viewName = "view_name"
    withTable(tableName) {
      sql(s"CREATE TABLE $tableName (id int) USING parquet")
      withView("view_name") {
        val futures = (0 to concurrency).map { _ =>
          Future {
            Try {
              sql(s"CREATE VIEW IF NOT EXISTS $viewName AS SELECT * FROM $tableName")
            }
          }
        }
        futures.map { future =>
           val res = ThreadUtils.awaitResult(future, 5.seconds)
           assert(
             res.isSuccess,
             s"Failed to create view: ${if (res.isFailure) res.failed.get.getMessage}"
           )
        }
      }
    }
  }
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44603 from anchovYu/create-view-if-not-exist-fix.

Authored-by: Xinyi Yu <xinyi.yu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9b3c70f6094c97ed61018d9fca8a50320574ab49)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../scala/org/apache/spark/sql/execution/command/views.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/views.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/views.scala
index 3718794ea5909..b6159f92f9cef 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/views.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/views.scala
@@ -167,7 +167,7 @@ case class CreateViewCommand(
       }
     } else {
       // Create the view if it doesn't exist.
-      catalog.createTable(prepareTable(sparkSession, analyzedPlan), ignoreIfExists = false)
+      catalog.createTable(prepareTable(sparkSession, analyzedPlan), ignoreIfExists = allowExisting)
     }
     Seq.empty[Row]
   }

From 9f095b71ca2fab7211f84fbf3a16d2f9ffb3d957 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 5 Jan 2024 11:23:23 -0800
Subject: [PATCH 537/986] [SPARK-46609][SQL] Avoid exponential explosion in
 PartitioningPreservingUnaryExecNode

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/37525 . When expanding the output partitioning/ordering with aliases, we have a threshold to avoid exponential explosion. However, we missed to apply this threshold in one place. This PR fixes it.

### Why are the changes needed?

to avoid OOM

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44614 from cloud-fan/oom.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit f8115da1a2bb33e6344dd69cc38ca7a68c3654b1)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../AliasAwareOutputExpression.scala          |  4 +--
 ...rojectedOrderingAndPartitioningSuite.scala | 30 +++++++++++++++++--
 2 files changed, 30 insertions(+), 4 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/AliasAwareOutputExpression.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/AliasAwareOutputExpression.scala
index e1dcab80af307..428fe65501fb4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/AliasAwareOutputExpression.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/AliasAwareOutputExpression.scala
@@ -30,7 +30,7 @@ trait PartitioningPreservingUnaryExecNode extends UnaryExecNode
   with AliasAwareOutputExpression {
   final override def outputPartitioning: Partitioning = {
     val partitionings: Seq[Partitioning] = if (hasAlias) {
-      flattenPartitioning(child.outputPartitioning).flatMap {
+      flattenPartitioning(child.outputPartitioning).iterator.flatMap {
         case e: Expression =>
           // We need unique partitionings but if the input partitioning is
           // `HashPartitioning(Seq(id + id))` and we have `id -> a` and `id -> b` aliases then after
@@ -44,7 +44,7 @@ trait PartitioningPreservingUnaryExecNode extends UnaryExecNode
             .take(aliasCandidateLimit)
             .asInstanceOf[Stream[Partitioning]]
         case o => Seq(o)
-      }
+      }.take(aliasCandidateLimit).toSeq
     } else {
       // Filter valid partitiongs (only reference output attributes of the current plan node)
       val outputSet = AttributeSet(outputExpressions.map(_.toAttribute))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ProjectedOrderingAndPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ProjectedOrderingAndPartitioningSuite.scala
index f5839e9975602..ec13d48d45f84 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/ProjectedOrderingAndPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ProjectedOrderingAndPartitioningSuite.scala
@@ -17,11 +17,14 @@
 
 package org.apache.spark.sql.execution
 
-import org.apache.spark.sql.catalyst.expressions.Attribute
-import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, PartitioningCollection, UnknownPartitioning}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference}
+import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, Partitioning, PartitioningCollection, UnknownPartitioning}
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.StringType
 
 class ProjectedOrderingAndPartitioningSuite
   extends SharedSparkSession with AdaptiveSparkPlanHelper {
@@ -101,6 +104,22 @@ class ProjectedOrderingAndPartitioningSuite
     }
   }
 
+  test("SPARK-46609: Avoid exponential explosion in PartitioningPreservingUnaryExecNode") {
+    withSQLConf(SQLConf.EXPRESSION_PROJECTION_CANDIDATE_LIMIT.key -> "2") {
+      val output = Seq(AttributeReference("a", StringType)(), AttributeReference("b", StringType)())
+      val plan = ProjectExec(
+        Seq(
+          Alias(output(0), "a1")(),
+          Alias(output(0), "a2")(),
+          Alias(output(1), "b1")(),
+          Alias(output(1), "b2")()
+        ),
+        DummyLeafPlanExec(output)
+      )
+      assert(plan.outputPartitioning.asInstanceOf[PartitioningCollection].partitionings.length == 2)
+    }
+  }
+
   test("SPARK-42049: Improve AliasAwareOutputExpression - multi-references to complex " +
     "expressions") {
     val df2 = spark.range(2).repartition($"id" + $"id").selectExpr("id + id as a", "id + id as b")
@@ -192,3 +211,10 @@ class ProjectedOrderingAndPartitioningSuite
     assert(outputOrdering.head.sameOrderExpressions.size == 0)
   }
 }
+
+private case class DummyLeafPlanExec(output: Seq[Attribute]) extends LeafExecNode {
+  override protected def doExecute(): RDD[InternalRow] = null
+  override def outputPartitioning: Partitioning = {
+    PartitioningCollection(output.map(attr => HashPartitioning(Seq(attr), 4)))
+  }
+}

From fe22ec74db7895c6ea1f39236162ae39027111f4 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Sat, 6 Jan 2024 12:38:35 -0800
Subject: [PATCH 538/986] [SPARK-46598][SQL] OrcColumnarBatchReader should
 respect the memory mode when creating column vectors for the missing column

This PR fixes a long-standing bug that `OrcColumnarBatchReader` does not respect the memory mode when creating column vectors for missing columbs. This PR fixes it.

To not violate the memory mode requirement

No

new test

no

Closes #44598 from cloud-fan/orc.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 0c1c5e93e376b97a6d2dae99e973b9385155727a)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../orc/OrcColumnarBatchReader.java            | 17 ++++++++++++-----
 .../datasources/orc/OrcFileFormat.scala        |  9 ++++++++-
 .../v2/orc/OrcPartitionReaderFactory.scala     |  6 ++++--
 .../execution/datasources/v2/orc/OrcScan.scala |  8 +++++++-
 .../orc/OrcColumnarBatchReaderSuite.scala      | 18 +++++++++++++++---
 5 files changed, 46 insertions(+), 12 deletions(-)

diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
index b6184baa2e0ed..5bfe22450f36b 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
@@ -31,12 +31,11 @@
 import org.apache.orc.TypeDescription;
 import org.apache.orc.mapred.OrcInputFormat;
 
+import org.apache.spark.memory.MemoryMode;
 import org.apache.spark.sql.catalyst.InternalRow;
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns;
 import org.apache.spark.sql.execution.datasources.orc.OrcShimUtils.VectorizedRowBatchWrap;
-import org.apache.spark.sql.execution.vectorized.ColumnVectorUtils;
-import org.apache.spark.sql.execution.vectorized.ConstantColumnVector;
-import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector;
+import org.apache.spark.sql.execution.vectorized.*;
 import org.apache.spark.sql.types.*;
 import org.apache.spark.sql.vectorized.ColumnarBatch;
 
@@ -73,11 +72,14 @@ public class OrcColumnarBatchReader extends RecordReader<Void, ColumnarBatch> {
   @VisibleForTesting
   public ColumnarBatch columnarBatch;
 
+  private final MemoryMode memoryMode;
+
   // The wrapped ORC column vectors.
   private org.apache.spark.sql.vectorized.ColumnVector[] orcVectorWrappers;
 
-  public OrcColumnarBatchReader(int capacity) {
+  public OrcColumnarBatchReader(int capacity, MemoryMode memoryMode) {
     this.capacity = capacity;
+    this.memoryMode = memoryMode;
   }
 
 
@@ -177,7 +179,12 @@ public void initBatch(
         int colId = requestedDataColIds[i];
         // Initialize the missing columns once.
         if (colId == -1) {
-          OnHeapColumnVector missingCol = new OnHeapColumnVector(capacity, dt);
+          final WritableColumnVector missingCol;
+          if (memoryMode == MemoryMode.OFF_HEAP) {
+            missingCol = new OffHeapColumnVector(capacity, dt);
+          } else {
+            missingCol = new OnHeapColumnVector(capacity, dt);
+          }
           // Check if the missing column has an associated default value in the schema metadata.
           // If so, fill the corresponding column vector with the value.
           Object defaultValue = ResolveDefaultColumns.existenceDefaultValues(requiredSchema)[i];
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala
index b7e6f11f67d69..53d2b08431f85 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala
@@ -31,6 +31,7 @@ import org.apache.orc.mapred.OrcStruct
 import org.apache.orc.mapreduce._
 
 import org.apache.spark.TaskContext
+import org.apache.spark.memory.MemoryMode
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
@@ -152,6 +153,12 @@ class OrcFileFormat
       assert(supportBatch(sparkSession, resultSchema))
     }
 
+    val memoryMode = if (sqlConf.offHeapColumnVectorEnabled) {
+      MemoryMode.OFF_HEAP
+    } else {
+      MemoryMode.ON_HEAP
+    }
+
     OrcConf.IS_SCHEMA_EVOLUTION_CASE_SENSITIVE.setBoolean(hadoopConf, sqlConf.caseSensitiveAnalysis)
 
     val broadcastedConf =
@@ -196,7 +203,7 @@ class OrcFileFormat
         val taskAttemptContext = new TaskAttemptContextImpl(taskConf, attemptId)
 
         if (enableVectorizedReader) {
-          val batchReader = new OrcColumnarBatchReader(capacity)
+          val batchReader = new OrcColumnarBatchReader(capacity, memoryMode)
           // SPARK-23399 Register a task completion listener first to call `close()` in all cases.
           // There is a possibility that `initialize` and `initBatch` hit some errors (like OOM)
           // after opening a file.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcPartitionReaderFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcPartitionReaderFactory.scala
index 2b7bdae6b31b4..b23071e50cbed 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcPartitionReaderFactory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcPartitionReaderFactory.scala
@@ -26,6 +26,7 @@ import org.apache.orc.mapred.OrcStruct
 import org.apache.orc.mapreduce.OrcInputFormat
 
 import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.memory.MemoryMode
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.connector.expressions.aggregate.Aggregation
 import org.apache.spark.sql.connector.read.{InputPartition, PartitionReader}
@@ -57,7 +58,8 @@ case class OrcPartitionReaderFactory(
     partitionSchema: StructType,
     filters: Array[Filter],
     aggregation: Option[Aggregation],
-    options: OrcOptions) extends FilePartitionReaderFactory {
+    options: OrcOptions,
+    memoryMode: MemoryMode) extends FilePartitionReaderFactory {
   private val resultSchema = StructType(readDataSchema.fields ++ partitionSchema.fields)
   private val isCaseSensitive = sqlConf.caseSensitiveAnalysis
   private val capacity = sqlConf.orcVectorizedReaderBatchSize
@@ -146,7 +148,7 @@ case class OrcPartitionReaderFactory(
       val attemptId = new TaskAttemptID(new TaskID(new JobID(), TaskType.MAP, 0), 0)
       val taskAttemptContext = new TaskAttemptContextImpl(taskConf, attemptId)
 
-      val batchReader = new OrcColumnarBatchReader(capacity)
+      val batchReader = new OrcColumnarBatchReader(capacity, memoryMode)
       batchReader.initialize(fileSplit, taskAttemptContext)
       val requestedPartitionColIds =
         Array.fill(readDataSchema.length)(-1) ++ Range(0, partitionSchema.length)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScan.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScan.scala
index 072ab26774e52..ca37d22eeb1e4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScan.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScan.scala
@@ -21,6 +21,7 @@ import scala.collection.JavaConverters.mapAsScalaMapConverter
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.Path
 
+import org.apache.spark.memory.MemoryMode
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.expressions.Expression
 import org.apache.spark.sql.connector.expressions.aggregate.Aggregation
@@ -64,11 +65,16 @@ case class OrcScan(
   override def createReaderFactory(): PartitionReaderFactory = {
     val broadcastedConf = sparkSession.sparkContext.broadcast(
       new SerializableConfiguration(hadoopConf))
+    val memoryMode = if (sparkSession.sessionState.conf.offHeapColumnVectorEnabled) {
+      MemoryMode.OFF_HEAP
+    } else {
+      MemoryMode.ON_HEAP
+    }
     // The partition values are already truncated in `FileScan.partitions`.
     // We should use `readPartitionSchema` as the partition schema here.
     OrcPartitionReaderFactory(sparkSession.sessionState.conf, broadcastedConf,
       dataSchema, readDataSchema, readPartitionSchema, pushedFilters, pushedAggregate,
-      new OrcOptions(options.asScala.toMap, sparkSession.sessionState.conf))
+      new OrcOptions(options.asScala.toMap, sparkSession.sessionState.conf), memoryMode)
   }
 
   override def equals(obj: Any): Boolean = obj match {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReaderSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReaderSuite.scala
index a9389c1c21b40..06ea12f83ce75 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReaderSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReaderSuite.scala
@@ -26,11 +26,12 @@ import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
 import org.apache.orc.TypeDescription
 
 import org.apache.spark.TestUtils
+import org.apache.spark.memory.MemoryMode
 import org.apache.spark.sql.QueryTest
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.GenericInternalRow
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
-import org.apache.spark.sql.execution.vectorized.ConstantColumnVector
+import org.apache.spark.sql.execution.vectorized.{ConstantColumnVector, OffHeapColumnVector}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
@@ -53,7 +54,7 @@ class OrcColumnarBatchReaderSuite extends QueryTest with SharedSparkSession {
         requestedDataColIds: Array[Int],
         requestedPartitionColIds: Array[Int],
         resultFields: Array[StructField]): OrcColumnarBatchReader = {
-      val reader = new OrcColumnarBatchReader(4096)
+      val reader = new OrcColumnarBatchReader(4096, MemoryMode.ON_HEAP)
       reader.initBatch(
         orcFileSchema,
         resultFields,
@@ -117,7 +118,7 @@ class OrcColumnarBatchReaderSuite extends QueryTest with SharedSparkSession {
         val fileSplit = new FileSplit(new Path(file.getCanonicalPath), 0L, file.length, Array.empty)
         val taskConf = sqlContext.sessionState.newHadoopConf()
         val orcFileSchema = TypeDescription.fromString(schema.simpleString)
-        val vectorizedReader = new OrcColumnarBatchReader(4096)
+        val vectorizedReader = new OrcColumnarBatchReader(4096, MemoryMode.ON_HEAP)
         val attemptId = new TaskAttemptID(new TaskID(new JobID(), TaskType.MAP, 0), 0)
         val taskAttemptContext = new TaskAttemptContextImpl(taskConf, attemptId)
 
@@ -148,4 +149,15 @@ class OrcColumnarBatchReaderSuite extends QueryTest with SharedSparkSession {
       }
     }
   }
+
+  test("SPARK-46598: off-heap mode") {
+    val reader = new OrcColumnarBatchReader(4096, MemoryMode.OFF_HEAP)
+    reader.initBatch(
+      TypeDescription.fromString("struct<col1:int,col2:int>"),
+      StructType.fromDDL("col1 int, col2 int, col3 int").fields,
+      Array(0, 1, -1),
+      Array(-1, -1, -1),
+      InternalRow.empty)
+    assert(reader.columnarBatch.column(2).isInstanceOf[OffHeapColumnVector])
+  }
 }

From 75b567daa705016f2ddb74dc8404ae66bc33bbcd Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 8 Jan 2024 16:24:06 -0800
Subject: [PATCH 539/986] [SPARK-46628][INFRA] Use SPDX short identifier in
 `license` name

### What changes were proposed in this pull request?

This PR aims to use SPDX short identifier as `license`'s `name` field.

- https://spdx.org/licenses/Apache-2.0.html

### Why are the changes needed?

SPDX short identifier is recommended as `name` field by `Apache Maven`.
- https://maven.apache.org/pom.html#Licenses

ASF pom file has been using it. This PR aims to match with ASF pom file.
- https://github.com/apache/maven-apache-parent/pull/118
- https://github.com/apache/maven-apache-parent/blob/7888bdb8ee653ecc03b5fee136540a607193c240/pom.xml#L46
```
<name>Apache-2.0</name>
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44631 from dongjoon-hyun/SPARK-46628.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit d008f81a9d8d4b5e8e434469755405f6ae747e75)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 pom.xml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pom.xml b/pom.xml
index 14e0ab3e0f620..9e945f8d959a4 100644
--- a/pom.xml
+++ b/pom.xml
@@ -32,7 +32,7 @@
   <url>https://spark.apache.org/</url>
   <licenses>
     <license>
-      <name>Apache 2.0 License</name>
+      <name>Apache-2.0</name>
       <url>http://www.apache.org/licenses/LICENSE-2.0.html</url>
       <distribution>repo</distribution>
     </license>

From 2b0c3e12636b93758879ee3ff23626ea1f218264 Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Tue, 9 Jan 2024 09:07:34 +0800
Subject: [PATCH 540/986] [SPARK-46610][SQL] Create table should throw
 exception when no value for a key in options

### What changes were proposed in this pull request?

Before SPARK-43529, there was a check from `visitPropertyKeyValues` that throws for null values for option keys. After SPARK-43529, a new function is used to support expressions in options but the new function lose the check.

This PR adds the check back.

### Why are the changes needed?

Throw exception when a option value is null.

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #44615 from amaliujia/fix_create_table_options.

Lead-authored-by: Rui Wang <rui.wang@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit e7536f2484afce412256bf711452acde8df5a287)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/catalyst/parser/AstBuilder.scala       |  4 +++-
 .../spark/sql/catalyst/parser/DDLParserSuite.scala   | 12 ++++++++++++
 2 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index b80ea8fddcfe2..90fbdd94dc386 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -3274,7 +3274,9 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       ctx: ExpressionPropertyListContext): OptionList = {
     val options = ctx.expressionProperty.asScala.map { property =>
       val key: String = visitPropertyKey(property.key)
-      val value: Expression = Option(property.value).map(expression).orNull
+      val value: Expression = Option(property.value).map(expression).getOrElse {
+        operationNotAllowed(s"A value must be specified for the key: $key.", ctx)
+      }
       key -> value
     }.toSeq
     OptionList(options)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
index 31fd232181a4f..6f36a8c9719cb 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
@@ -2356,6 +2356,18 @@ class DDLParserSuite extends AnalysisTest {
         stop = 42))
   }
 
+  test("SPARK-46610: throw exception when no value for a key in create table options") {
+    val createTableSql = "create table test_table using my_data_source options (password)"
+    checkError(
+      exception = parseException(createTableSql),
+      errorClass = "_LEGACY_ERROR_TEMP_0035",
+      parameters = Map("message" -> "A value must be specified for the key: password."),
+      context = ExpectedContext(
+        fragment = createTableSql,
+        start = 0,
+        stop = 62))
+  }
+
   test("UNCACHE TABLE") {
     comparePlans(
       parsePlan("UNCACHE TABLE a.b.c"),

From a753239ab1afaeddf4c991d42b93e4845f12e576 Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Mon, 8 Jan 2024 22:22:06 -0400
Subject: [PATCH 541/986] [SPARK-46600][SQL] Move shared code between SqlConf
 and SqlApiConf to SqlApiConfHelper

### What changes were proposed in this pull request?

This code proposes to introduce a new object named `SqlApiConfHelper` to contain shared code between `SqlApiConf` and `SqlConf`.

### Why are the changes needed?

As of now, SqlConf will access some of the variables of SqlApiConf while SqlApiConf also try to initialize SqlConf upon initialization.  This PR is to avoid potential circular dependency between SqlConf and SqlApiConf. The shared variables or access to the shared variables are moved to the new `SqlApiConfHelper`. So either SqlApiConf and SqlConf wants to initialize the other side, they will only initialize the same third object.

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

Existing UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #44602 from amaliujia/refactor_sql_api.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
(cherry picked from commit 03fc5e26b866491b52f89f4d24beade7d1669a37)
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../spark/sql/internal/SqlApiConf.scala       | 26 +++-------
 .../spark/sql/internal/SqlApiConfHelper.scala | 48 +++++++++++++++++++
 .../apache/spark/sql/internal/SQLConf.scala   | 12 ++---
 3 files changed, 61 insertions(+), 25 deletions(-)
 create mode 100644 sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConfHelper.scala

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
index d746e9037ec48..5ec72b83837ee 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConf.scala
@@ -17,7 +17,6 @@
 package org.apache.spark.sql.internal
 
 import java.util.TimeZone
-import java.util.concurrent.atomic.AtomicReference
 
 import scala.util.Try
 
@@ -48,25 +47,14 @@ private[sql] trait SqlApiConf {
 
 private[sql] object SqlApiConf {
   // Shared keys.
-  val ANSI_ENABLED_KEY: String = "spark.sql.ansi.enabled"
-  val LEGACY_TIME_PARSER_POLICY_KEY: String = "spark.sql.legacy.timeParserPolicy"
-  val CASE_SENSITIVE_KEY: String = "spark.sql.caseSensitive"
-  val SESSION_LOCAL_TIMEZONE_KEY: String = "spark.sql.session.timeZone"
-  val LOCAL_RELATION_CACHE_THRESHOLD_KEY: String = "spark.sql.session.localRelationCacheThreshold"
+  val ANSI_ENABLED_KEY: String = SqlApiConfHelper.ANSI_ENABLED_KEY
+  val LEGACY_TIME_PARSER_POLICY_KEY: String = SqlApiConfHelper.LEGACY_TIME_PARSER_POLICY_KEY
+  val CASE_SENSITIVE_KEY: String = SqlApiConfHelper.CASE_SENSITIVE_KEY
+  val SESSION_LOCAL_TIMEZONE_KEY: String = SqlApiConfHelper.SESSION_LOCAL_TIMEZONE_KEY
+  val LOCAL_RELATION_CACHE_THRESHOLD_KEY: String =
+    SqlApiConfHelper.LOCAL_RELATION_CACHE_THRESHOLD_KEY
 
-  /**
-   * Defines a getter that returns the [[SqlApiConf]] within scope.
-   */
-  private val confGetter = new AtomicReference[() => SqlApiConf](() => DefaultSqlApiConf)
-
-  /**
-   * Sets the active config getter.
-   */
-  private[sql] def setConfGetter(getter: () => SqlApiConf): Unit = {
-    confGetter.set(getter)
-  }
-
-  def get: SqlApiConf = confGetter.get()()
+  def get: SqlApiConf = SqlApiConfHelper.getConfGetter.get()()
 
   // Force load SQLConf. This will trigger the installation of a confGetter that points to SQLConf.
   Try(SparkClassUtils.classForName("org.apache.spark.sql.internal.SQLConf$"))
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConfHelper.scala b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConfHelper.scala
new file mode 100644
index 0000000000000..79b6cb9231c51
--- /dev/null
+++ b/sql/api/src/main/scala/org/apache/spark/sql/internal/SqlApiConfHelper.scala
@@ -0,0 +1,48 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.internal
+
+import java.util.concurrent.atomic.AtomicReference
+
+/**
+ * SqlApiConfHelper is created to avoid a deadlock during a concurrent access to SQLConf and
+ * SqlApiConf, which is because SQLConf and SqlApiConf tries to load each other upon
+ * initializations. SqlApiConfHelper is private to sql package and is not supposed to be
+ * accessed by end users. Variables and methods within SqlApiConfHelper are defined to
+ * be used by SQLConf and SqlApiConf only.
+ */
+private[sql] object SqlApiConfHelper {
+  // Shared keys.
+  val ANSI_ENABLED_KEY: String = "spark.sql.ansi.enabled"
+  val LEGACY_TIME_PARSER_POLICY_KEY: String = "spark.sql.legacy.timeParserPolicy"
+  val CASE_SENSITIVE_KEY: String = "spark.sql.caseSensitive"
+  val SESSION_LOCAL_TIMEZONE_KEY: String = "spark.sql.session.timeZone"
+  val LOCAL_RELATION_CACHE_THRESHOLD_KEY: String = "spark.sql.session.localRelationCacheThreshold"
+
+  val confGetter: AtomicReference[() => SqlApiConf] = {
+    new AtomicReference[() => SqlApiConf](() => DefaultSqlApiConf)
+  }
+
+  def getConfGetter: AtomicReference[() => SqlApiConf] = confGetter
+
+  /**
+   * Sets the active config getter.
+   */
+  def setConfGetter(getter: () => SqlApiConf): Unit = {
+    confGetter.set(getter)
+  }
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 70bd21ac1709d..de4a89667aff6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -181,7 +181,7 @@ object SQLConf {
 
   // Make sure SqlApiConf is always in sync with SQLConf. SqlApiConf will always try to
   // load SqlConf to make sure both classes are in sync from the get go.
-  SqlApiConf.setConfGetter(() => SQLConf.get)
+  SqlApiConfHelper.setConfGetter(() => SQLConf.get)
 
   /**
    * Returns the active config object within the current scope. If there is an active SparkSession,
@@ -894,7 +894,7 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
-  val CASE_SENSITIVE = buildConf(SqlApiConf.CASE_SENSITIVE_KEY)
+  val CASE_SENSITIVE = buildConf(SqlApiConfHelper.CASE_SENSITIVE_KEY)
     .internal()
     .doc("Whether the query analyzer should be case sensitive or not. " +
       "Default to case insensitive. It is highly discouraged to turn on case sensitive mode.")
@@ -2676,7 +2676,7 @@ object SQLConf {
     Try { DateTimeUtils.getZoneId(zone) }.isSuccess
   }
 
-  val SESSION_LOCAL_TIMEZONE = buildConf(SqlApiConf.SESSION_LOCAL_TIMEZONE_KEY)
+  val SESSION_LOCAL_TIMEZONE = buildConf(SqlApiConfHelper.SESSION_LOCAL_TIMEZONE_KEY)
     .doc("The ID of session local timezone in the format of either region-based zone IDs or " +
       "zone offsets. Region IDs must have the form 'area/city', such as 'America/Los_Angeles'. " +
       "Zone offsets must be in the format '(+|-)HH', '(+|-)HH:mm' or '(+|-)HH:mm:ss', e.g '-08', " +
@@ -3180,7 +3180,7 @@ object SQLConf {
       .checkValues(StoreAssignmentPolicy.values.map(_.toString))
       .createWithDefault(StoreAssignmentPolicy.ANSI.toString)
 
-  val ANSI_ENABLED = buildConf(SqlApiConf.ANSI_ENABLED_KEY)
+  val ANSI_ENABLED = buildConf(SqlApiConfHelper.ANSI_ENABLED_KEY)
     .doc("When true, Spark SQL uses an ANSI compliant dialect instead of being Hive compliant. " +
       "For example, Spark will throw an exception at runtime instead of returning null results " +
       "when the inputs to a SQL operator/function are invalid." +
@@ -3779,7 +3779,7 @@ object SQLConf {
     .checkValues(LegacyBehaviorPolicy.values.map(_.toString))
     .createWithDefault(LegacyBehaviorPolicy.EXCEPTION.toString)
 
-  val LEGACY_TIME_PARSER_POLICY = buildConf(SqlApiConf.LEGACY_TIME_PARSER_POLICY_KEY)
+  val LEGACY_TIME_PARSER_POLICY = buildConf(SqlApiConfHelper.LEGACY_TIME_PARSER_POLICY_KEY)
     .internal()
     .doc("When LEGACY, java.text.SimpleDateFormat is used for formatting and parsing " +
       "dates/timestamps in a locale-sensitive manner, which is the approach before Spark 3.0. " +
@@ -4344,7 +4344,7 @@ object SQLConf {
       .createWithDefault(false)
 
   val LOCAL_RELATION_CACHE_THRESHOLD =
-    buildConf(SqlApiConf.LOCAL_RELATION_CACHE_THRESHOLD_KEY)
+    buildConf(SqlApiConfHelper.LOCAL_RELATION_CACHE_THRESHOLD_KEY)
       .doc("The threshold for the size in bytes of local relations to be cached at " +
         "the driver side after serialization.")
       .version("3.5.0")

From d3e3084808453769ba0cd4278ee8650e40c185ea Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Wed, 10 Jan 2024 09:32:30 +0900
Subject: [PATCH 542/986] [SPARK-46637][DOCS] Enhancing the Visual Appeal of
 Spark doc website

### What changes were proposed in this pull request?

Enhance the Visual Appeal of Spark doc website after https://github.com/apache/spark/pull/40269:
#### 1. There is a weird indent on the top right side of the first paragraph of the Spark 3.5.0 doc overview page
Before this PR
<img width="680" alt="image" src="https://github.com/apache/spark/assets/1097932/84d21ca1-a4d0-4bd4-8f20-a34fa5db4000">

After this PR:
<img width="1035" alt="image" src="https://github.com/apache/spark/assets/1097932/4ffc0d5a-ed75-44c5-b20a-475ff401afa8">

#### 2. All the titles are too big and therefore less readable. In the website https://spark.apache.org/downloads.html, titles are h2 while in doc site https://spark.apache.org/docs/latest/ titles are h1. So we should make the font size of titles smaller.
Before this PR:
<img width="935" alt="image" src="https://github.com/apache/spark/assets/1097932/5bbbd9eb-432a-42c0-98be-ff00a9099cd6">
After this PR:
<img width="965" alt="image" src="https://github.com/apache/spark/assets/1097932/dc94c1fb-6ac1-41a8-b4a4-19b3034125d7">

#### 3. The banner image can't be displayed correct. Even when it shows up, it will be hover by the text. To make it simple, let's not show the banner image as we did in https://spark.apache.org/docs/3.4.2/
<img width="570" alt="image" src="https://github.com/apache/spark/assets/1097932/f6d34261-a352-44e2-9633-6e96b311a0b3">
<img width="1228" alt="image" src="https://github.com/apache/spark/assets/1097932/c49ce6b6-13d9-4d8f-97a9-7ed8b037be57">

### Why are the changes needed?

Improve the Visual Appeal of Spark doc website

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manually build doc and verify on local setup.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44642 from gengliangwang/enhance_doc.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/_layouts/global.html          |  26 +++++++++------------
 docs/css/custom.css                |  35 ++++++++++++-----------------
 docs/img/spark-hero-thin-light.jpg | Bin 278664 -> 0 bytes
 3 files changed, 25 insertions(+), 36 deletions(-)
 delete mode 100644 docs/img/spark-hero-thin-light.jpg

diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index 8c4435fdf31d9..5116472eaa769 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -138,25 +138,21 @@
 
         {% if page.url == "/" %}
             <section class="hero-banner position-relative">
-            <div class="bg">
-            </div>
             <div class="container position-relative">
                 <div class="row">
                   <h1 style="max-width: 680px;">Apache Spark - A Unified engine for large-scale data analytics</h1>
                 </div>
-                <div class="row mt-5">
-                  <div class="col-12 col-lg-6 no-gutters">
-                    Apache Spark is a unified analytics engine for large-scale data processing.
-                    It provides high-level APIs in Java, Scala, Python and R,
-                    and an optimized engine that supports general execution graphs.
-                    It also supports a rich set of higher-level tools including
-                    <a href="sql-programming-guide.html">Spark SQL</a> for SQL and structured data processing,
-                    <a href="api/python/getting_started/quickstart_ps.html">pandas API on Spark</a> for pandas workloads,
-                    <a href="ml-guide.html">MLlib</a> for machine learning,
-                    <a href="graphx-programming-guide.html">GraphX</a> for graph processing,
-                     and <a href="structured-streaming-programming-guide.html">Structured Streaming</a>
-                     for incremental computation and stream processing.
-                  </div>
+                <div class="content mr-3">
+                  Apache Spark is a unified analytics engine for large-scale data processing.
+                  It provides high-level APIs in Java, Scala, Python and R,
+                  and an optimized engine that supports general execution graphs.
+                  It also supports a rich set of higher-level tools including
+                  <a href="sql-programming-guide.html">Spark SQL</a> for SQL and structured data processing,
+                  <a href="api/python/getting_started/quickstart_ps.html">pandas API on Spark</a> for pandas workloads,
+                  <a href="ml-guide.html">MLlib</a> for machine learning,
+                  <a href="graphx-programming-guide.html">GraphX</a> for graph processing,
+                   and <a href="structured-streaming-programming-guide.html">Structured Streaming</a>
+                   for incremental computation and stream processing.
                 </div>
             </div>
           </section>
diff --git a/docs/css/custom.css b/docs/css/custom.css
index 1239c0ed440ef..8158938866c48 100644
--- a/docs/css/custom.css
+++ b/docs/css/custom.css
@@ -95,18 +95,7 @@ section {
   border-color: transparent;
 }
 
-.hero-banner .bg {
-  background: url(/img/spark-hero-thin-light.jpg) no-repeat;
-  transform: translate(36%, 0%);
-  height: 475px;
-  top: 0;
-  position: absolute;
-  right: 0;
-  width: 100%;
-  opacity: 50%;
-}
-
-.hero-banner h1 {
+.hero-banner .container .row h1 {
   color: #0B9ACE;
   font-style: normal;
   font-weight: normal;
@@ -115,13 +104,6 @@ section {
   letter-spacing: -0.045em;
 }
 
-.hero-banner h2 {
-  font-style: normal;
-  font-weight: bold;
-  font-size: 32px;
-  line-height: 42px;
-}
-
 .what-is-spark {
   font-style: normal;
   font-weight: normal;
@@ -822,18 +804,29 @@ ul {
   margin-bottom: 10px;
 }
 
-.global h2, .global .h2 {
+.global h1, .global .h1 {
   font-size: 30px;
 }
 
-.global h3 {
+#content h1.title {
+  font-size: 40px;
+}
+
+.global h2 {
   font-size: 24px !important;
 }
 
+.global h3 {
+  font-size: 20px !important;
+}
+
 .global h4 {
   font-size: 18px !important;
 }
 
+.global h5 {
+  font-size: 16px !important;
+}
 
 .global h1:first-letter, .global h2:first-letter, .global h3:first-letter, .global h4:first-letter, .global h5:first-letter, .global h6:first-letter, .global .h1:first-letter, .global .h2:first-letter, .global .h3:first-letter, .global .h4:first-letter, .global .h5:first-letter, .global .h6:first-letter {
   text-transform: uppercase;
diff --git a/docs/img/spark-hero-thin-light.jpg b/docs/img/spark-hero-thin-light.jpg
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From a4b184d8db284db1c279896fb50ef111bf4c91d2 Mon Sep 17 00:00:00 2001
From: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Date: Wed, 10 Jan 2024 23:18:04 +0900
Subject: [PATCH 543/986] [SPARK-46547][SS] Swallow non-fatal exception in
 maintenance task to avoid deadlock between maintenance thread and streaming
 aggregation operator
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Swallow non-fatal exception in maintenance task to avoid deadlock between maintenance thread and streaming aggregation operator

### Why are the changes needed?
This change fixes a race condition that causes a deadlock between the task thread and the maintenance thread. This is primarily only possible with the streaming aggregation operator. In this case, we use 2 physical operators - `StateStoreRestoreExec` and `StateStoreSaveExec`. The first one opens the store in read-only mode and the 2nd one does the actual commit.

However, the following sequence of events creates an issue
1. Task thread runs the `StateStoreRestoreExec` and gets the store instance and thereby the DB instance lock
2. Maintenance thread fails with an error for some reason
3. Maintenance thread takes the `loadedProviders` lock and tries to call `close` on all the loaded providers
4. Task thread tries to execute the StateStoreRDD for the `StateStoreSaveExec` operator and tries to acquire the `loadedProviders` lock which is held by the thread above

So basically if the maintenance thread is interleaved between the `restore/save` operations, there is a deadlock condition based on the `loadedProviders` lock and the DB instance lock.

The fix proposes to simply release the resources at the end of the `StateStoreRestoreExec` operator (note that `abort` for `ReadStateStore` is likely a misnomer - but we choose to follow the already provided API in this case)

Relevant Logs:
Link - https://github.com/anishshri-db/spark/actions/runs/7356847259/job/20027577445?pr=4
```
2023-12-27T09:59:02.6362466Z 09:59:02.635 WARN org.apache.spark.sql.execution.streaming.state.StateStore: Error in maintenanceThreadPool
2023-12-27T09:59:02.6365616Z java.io.FileNotFoundException: File file:/home/runner/work/spark/spark/target/tmp/spark-8ef51f34-b9de-48f2-b8df-07e14599b4c9/state/0/1 does not exist
2023-12-27T09:59:02.6367861Z 	at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:733)
2023-12-27T09:59:02.6369383Z 	at org.apache.hadoop.fs.DelegateToFileSystem.listStatus(DelegateToFileSystem.java:177)
2023-12-27T09:59:02.6370693Z 	at org.apache.hadoop.fs.ChecksumFs.listStatus(ChecksumFs.java:571)
2023-12-27T09:59:02.6371781Z 	at org.apache.hadoop.fs.FileContext$Util$1.next(FileContext.java:1940)
2023-12-27T09:59:02.6372876Z 	at org.apache.hadoop.fs.FileContext$Util$1.next(FileContext.java:1936)
2023-12-27T09:59:02.6373967Z 	at org.apache.hadoop.fs.FSLinkResolver.resolve(FSLinkResolver.java:90)
2023-12-27T09:59:02.6375104Z 	at org.apache.hadoop.fs.FileContext$Util.listStatus(FileContext.java:1942)
2023-12-27T09:59:02.6376676Z 09:59:02.636 WARN org.apache.spark.sql.execution.streaming.state.StateStore: Error running maintenance thread
2023-12-27T09:59:02.6379079Z java.io.FileNotFoundException: File file:/home/runner/work/spark/spark/target/tmp/spark-8ef51f34-b9de-48f2-b8df-07e14599b4c9/state/0/1 does not exist
2023-12-27T09:59:02.6381083Z 	at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:733)
2023-12-27T09:59:02.6382490Z 	at org.apache.hadoop.fs.DelegateToFileSystem.listStatus(DelegateToFileSystem.java:177)
2023-12-27T09:59:02.6383816Z 	at org.apache.hadoop.fs.ChecksumFs.listStatus(ChecksumFs.java:571)
2023-12-27T09:59:02.6384875Z 	at org.apache.hadoop.fs.FileContext$Util$1.next(FileContext.java:1940)
2023-12-27T09:59:02.6386294Z 	at org.apache.hadoop.fs.FileContext$Util$1.next(FileContext.java:1936)
2023-12-27T09:59:02.6387439Z 	at org.apache.hadoop.fs.FSLinkResolver.resolve(FSLinkResolver.java:90)
2023-12-27T09:59:02.6388674Z 	at org.apache.hadoop.fs.FileContext$Util.listStatus(FileContext.java:1942)
...
2023-12-27T10:01:02.4292831Z [info] - changing schema of state when restarting query - state format version 2 (RocksDBStateStore) *** FAILED *** (2 minutes)
2023-12-27T10:01:02.4295311Z [info]   Timed out waiting for stream: The code passed to failAfter did not complete within 120 seconds.
2023-12-27T10:01:02.4297271Z [info]   java.base/java.lang.Thread.getStackTrace(Thread.java:1619)
2023-12-27T10:01:02.4299084Z [info]   	org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:277)
2023-12-27T10:01:02.4300948Z [info]   	org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
...
2023-12-27T10:01:02.6474472Z 10:01:02.646 WARN org.apache.spark.sql.execution.streaming.state.RocksDB StateStoreId(opId=0,partId=0,name=default): Error closing RocksDB
2023-12-27T10:01:02.6482792Z org.apache.spark.SparkException: [CANNOT_LOAD_STATE_STORE.UNRELEASED_THREAD_ERROR] An error occurred during loading state. StateStoreId(opId=0,partId=0,name=default): RocksDB instance could not be acquired by [ThreadId: Some(1858)] as it was not released by [ThreadId: Some(3835), task: partition 0.0 in stage 513.0, TID 1369] after 120009 ms.
2023-12-27T10:01:02.6488483Z Thread holding the lock has trace: app//org.apache.spark.sql.execution.streaming.state.StateStore$.getStateStoreProvider(StateStore.scala:577)
2023-12-27T10:01:02.6490896Z app//org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:565)
2023-12-27T10:01:02.6493072Z app//org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:128)
2023-12-27T10:01:02.6494915Z app//org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
2023-12-27T10:01:02.6496232Z app//org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
2023-12-27T10:01:02.6497655Z app//org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
2023-12-27T10:01:02.6499153Z app//org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
2023-12-27T10:01:02.6556758Z 10:01:02.654 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 513.0 (TID 1369) (localhost executor driver): TaskKilled (Stage cancelled: [SPARK_JOB_CANCELLED] Job 260 cancelled part of cancelled job group cf26288c-0158-48ce-8a86-00a596dd45d8 SQLSTATE: XXKDA)
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing unit tests
```
[info] Run completed in 6 minutes, 20 seconds.
[info] Total number of tests run: 80
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 80, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
```

### Was this patch authored or co-authored using generative AI tooling?
Yes

Closes #44542 from anishshri-db/task/SPARK-46547.

Authored-by: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit f7b0b453791707b904ed0fa5508aa4b648d56bba)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../streaming/state/RocksDBStateStoreProvider.scala  | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreProvider.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreProvider.scala
index 10f207c7ec1fe..a19eb00a7b5ea 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreProvider.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreProvider.scala
@@ -19,6 +19,8 @@ package org.apache.spark.sql.execution.streaming.state
 
 import java.io._
 
+import scala.util.control.NonFatal
+
 import org.apache.hadoop.conf.Configuration
 
 import org.apache.spark.{SparkConf, SparkEnv}
@@ -202,7 +204,15 @@ private[sql] class RocksDBStateStoreProvider
   }
 
   override def doMaintenance(): Unit = {
-    rocksDB.doMaintenance()
+    try {
+      rocksDB.doMaintenance()
+    } catch {
+      // SPARK-46547 - Swallow non-fatal exception in maintenance task to avoid deadlock between
+      // maintenance thread and streaming aggregation operator
+      case NonFatal(ex) =>
+        logWarning(s"Ignoring error while performing maintenance operations with exception=",
+          ex)
+    }
   }
 
   override def close(): Unit = {

From 8a0f64274f44dd17a3e1f034c9f1f20a61ff0549 Mon Sep 17 00:00:00 2001
From: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Date: Fri, 12 Jan 2024 10:20:49 +0800
Subject: [PATCH 544/986] [SPARK-46640][SQL] Fix RemoveRedundantAlias by
 excluding subquery attributes

- In `RemoveRedundantAliases`, we have an `excluded` AttributeSet argument denoting the references for which we should not remove aliases. For a query with subquery expressions, adding the attributes references by the subquery in the `excluded` set prevents rewrites that might remove presumedly redundant aliases. (Changes in RemoveRedundantAlias)
- Added a configuration flag to disable this fix, if not needed.
- Added a unit test with Filter exists subquery expression to show how the alias would have been removed.

- `RemoveRedundantAliases` does not take into account the outer attributes of a `SubqueryExpression` when considering redundant aliases, potentially removing them if it thinks they are redundant.
- This can cause scenarios where a subquery expression has conditions like `a#x = a#x` i.e. both the attribute names and the expression ID(s) are the same. This can then lead to conflicting expression ID(s) error.
- For example, in the query example below, the `RemoveRedundantAliases` would remove the alias `a#0 as a#1` and replace `a#1` with `a#0` in the Filter exists subquery expression which would create an issue if the subquery expression had an attribute with reference `a#0` (possible due to different scan relation instances possibly having the same attribute ID(s) (Ref: #40662)
```
Filter exists [a#1 && (a#1 = b#2)]
:  +- LocalRelation <empty>, [b#2]
  +- Project [a#0 AS a#1]
  +- LocalRelation <empty>, [a#0]
```
becomes
```
Filter exists [a#0 && (a#0 = b#2)]
:  +- LocalRelation <empty>, [b#2]
  +- LocalRelation <empty>, [a#0]
```
- The changes are needed to fix this bug.

No

- Added a unit test with Filter exists subquery expression to show how the alias would have been removed.

No

Closes #44645 from nikhilsheoran-db/SPARK-46640.

Authored-by: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit bbeb8d7417bafa09ad5202347175a47b3217e27f)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    | 12 ++++-
 .../apache/spark/sql/internal/SQLConf.scala   |  9 ++++
 .../RemoveRedundantAliasAndProjectSuite.scala | 48 +++++++++++++++++++
 3 files changed, 68 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index ec5f00d34cd8c..df17840d567e0 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -576,10 +576,20 @@ object RemoveRedundantAliases extends Rule[LogicalPlan] {
         }
 
       case _ =>
+        val subQueryAttributes = if (conf.getConf(SQLConf
+          .EXCLUDE_SUBQUERY_EXP_REFS_FROM_REMOVE_REDUNDANT_ALIASES)) {
+          // Collect the references for all the subquery expressions in the plan.
+          AttributeSet.fromAttributeSets(plan.expressions.collect {
+            case e: SubqueryExpression => e.references
+          })
+        } else {
+          AttributeSet.empty
+        }
+
         // Remove redundant aliases in the subtree(s).
         val currentNextAttrPairs = mutable.Buffer.empty[(Attribute, Attribute)]
         val newNode = plan.mapChildren { child =>
-          val newChild = removeRedundantAliases(child, excluded)
+          val newChild = removeRedundantAliases(child, excluded ++ subQueryAttributes)
           currentNextAttrPairs ++= createAttributeMapping(child, newChild)
           newChild
         }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index de4a89667aff6..2e41374035c8c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4352,6 +4352,15 @@ object SQLConf {
       .checkValue(_ >= 0, "The threshold of cached local relations must not be negative")
       .createWithDefault(64 * 1024 * 1024)
 
+  val EXCLUDE_SUBQUERY_EXP_REFS_FROM_REMOVE_REDUNDANT_ALIASES =
+    buildConf("spark.sql.optimizer.excludeSubqueryRefsFromRemoveRedundantAliases.enabled")
+      .internal()
+      .doc("When true, exclude the references from the subquery expressions (in, exists, etc.) " +
+        s"while removing redundant aliases.")
+      .version("4.0.0")
+      .booleanConf
+      .createWithDefault(true)
+
   val LEGACY_PERCENTILE_DISC_CALCULATION = buildConf("spark.sql.legacy.percentileDiscCalculation")
     .internal()
     .doc("If true, the old bogus percentile_disc calculation is used. The old calculation " +
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAliasAndProjectSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAliasAndProjectSuite.scala
index cd19e5062ae1f..8a0a0466ca741 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAliasAndProjectSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RemoveRedundantAliasAndProjectSuite.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.PlanTest
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.MetadataBuilder
 
 class RemoveRedundantAliasAndProjectSuite extends PlanTest {
@@ -130,4 +131,51 @@ class RemoveRedundantAliasAndProjectSuite extends PlanTest {
       correlated = false)
     comparePlans(optimized, expected)
   }
+
+  test("SPARK-46640: do not remove outer references from a subquery expression") {
+    val a = $"a".int
+    val a_alias = Alias(a, "a")()
+    val a_alias_attr = a_alias.toAttribute
+    val b = $"b".int
+
+    // The original input query
+    //  Filter exists [a#1 && (a#1 = b#2)]
+    //  :  +- LocalRelation <empty>, [b#2]
+    //    +- Project [a#0 AS a#1]
+    //    +- LocalRelation <empty>, [a#0]
+    val query = Filter(
+      Exists(
+        LocalRelation(b),
+        outerAttrs = Seq(a_alias_attr),
+        joinCond = Seq(EqualTo(a_alias_attr, b))
+      ),
+      Project(Seq(a_alias), LocalRelation(a))
+    )
+
+    // The alias would not be removed if excluding subquery references is enabled.
+    val expectedWhenExcluded = query
+
+    // The alias would have been removed if excluding subquery references is disabled.
+    //  Filter exists [a#0 && (a#0 = b#2)]
+    //  :  +- LocalRelation <empty>, [b#2]
+    //    +- LocalRelation <empty>, [a#0]
+    val expectedWhenNotExcluded = Filter(
+      Exists(
+        LocalRelation(b),
+        outerAttrs = Seq(a),
+        joinCond = Seq(EqualTo(a, b))
+      ),
+      LocalRelation(a)
+    )
+
+    withSQLConf(SQLConf.EXCLUDE_SUBQUERY_EXP_REFS_FROM_REMOVE_REDUNDANT_ALIASES.key -> "true") {
+      val optimized = Optimize.execute(query)
+      comparePlans(optimized, expectedWhenExcluded)
+    }
+
+    withSQLConf(SQLConf.EXCLUDE_SUBQUERY_EXP_REFS_FROM_REMOVE_REDUNDANT_ALIASES.key -> "false") {
+      val optimized = Optimize.execute(query)
+      comparePlans(optimized, expectedWhenNotExcluded)
+    }
+  }
 }

From d422aed4a2e82d671a592b096919015bddeb751f Mon Sep 17 00:00:00 2001
From: Takuya UESHIN <ueshin@databricks.com>
Date: Fri, 12 Jan 2024 13:19:12 +0900
Subject: [PATCH 545/986] [SPARK-46684][PYTHON][CONNECT][3.5] Fix
 CoGroup.applyInPandas/Arrow to pass arguments properly
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This is a backport of apache/spark#44695.

Fix `CoGroup.applyInPandas/Arrow` to pass arguments properly.

### Why are the changes needed?

In Spark Connect, `CoGroup.applyInPandas/Arrow` doesn't take arguments properly, so the arguments of the UDF can be broken:

```py
>>> import pandas as pd
>>>
>>> df1 = spark.createDataFrame(
...     [(1, 1.0, "a"), (2, 2.0, "b"), (1, 3.0, "c"), (2, 4.0, "d")], ("id", "v1", "v2")
... )
>>> df2 = spark.createDataFrame([(1, "x"), (2, "y"), (1, "z")], ("id", "v3"))
>>>
>>> def summarize(left, right):
...     return pd.DataFrame(
...         {
...             "left_rows": [len(left)],
...             "left_columns": [len(left.columns)],
...             "right_rows": [len(right)],
...             "right_columns": [len(right.columns)],
...         }
...     )
...
>>> df = (
...     df1.groupby("id")
...     .cogroup(df2.groupby("id"))
...     .applyInPandas(
...         summarize,
...         schema="left_rows long, left_columns long, right_rows long, right_columns long",
...     )
... )
>>>
>>> df.show()
+---------+------------+----------+-------------+
|left_rows|left_columns|right_rows|right_columns|
+---------+------------+----------+-------------+
|        2|           1|         2|            1|
|        2|           1|         1|            1|
+---------+------------+----------+-------------+
```

The result should be:

```py
+---------+------------+----------+-------------+
|left_rows|left_columns|right_rows|right_columns|
+---------+------------+----------+-------------+
|        2|           3|         2|            2|
|        2|           3|         1|            2|
+---------+------------+----------+-------------+
```

### Does this PR introduce _any_ user-facing change?

This is a bug fix.

### How was this patch tested?

Added the related tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44696 from ueshin/issues/SPARK-46684/3.5/cogroup.

Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/planner/SparkConnectPlanner.scala | 32 ++++++++---------
 python/pyspark/sql/dataframe.py               |  8 +++--
 .../tests/pandas/test_pandas_cogrouped_map.py | 35 +++++++++++++++++++
 3 files changed, 57 insertions(+), 18 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 50a55f5e6411d..709e0811e5de2 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -674,8 +674,6 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         transformTypedCoGroupMap(rel, commonUdf)
 
       case proto.CommonInlineUserDefinedFunction.FunctionCase.PYTHON_UDF =>
-        val pythonUdf = transformPythonUDF(commonUdf)
-
         val inputCols =
           rel.getInputGroupingExpressionsList.asScala.toSeq.map(expr =>
             Column(transformExpression(expr)))
@@ -690,6 +688,10 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
           .ofRows(session, transformRelation(rel.getOther))
           .groupBy(otherCols: _*)
 
+        val pythonUdf = createUserDefinedPythonFunction(commonUdf)
+          .builder(input.df.logicalPlan.output ++ other.df.logicalPlan.output)
+          .asInstanceOf[PythonUDF]
+
         input.flatMapCoGroupsInPandas(other, pythonUdf).logicalPlan
 
       case _ =>
@@ -1587,17 +1589,23 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
 
   private def transformPythonFuncExpression(
       fun: proto.CommonInlineUserDefinedFunction): Expression = {
+    createUserDefinedPythonFunction(fun)
+      .builder(fun.getArgumentsList.asScala.map(transformExpression).toSeq) match {
+      case udaf: PythonUDAF => udaf.toAggregateExpression()
+      case other => other
+    }
+  }
+
+  private def createUserDefinedPythonFunction(
+      fun: proto.CommonInlineUserDefinedFunction): UserDefinedPythonFunction = {
     val udf = fun.getPythonUdf
+    val function = transformPythonFunction(udf)
     UserDefinedPythonFunction(
       name = fun.getFunctionName,
-      func = transformPythonFunction(udf),
+      func = function,
       dataType = transformDataType(udf.getOutputType),
       pythonEvalType = udf.getEvalType,
       udfDeterministic = fun.getDeterministic)
-      .builder(fun.getArgumentsList.asScala.map(transformExpression).toSeq) match {
-      case udaf: PythonUDAF => udaf.toAggregateExpression()
-      case other => other
-    }
   }
 
   private def transformPythonFunction(fun: proto.PythonUDF): SimplePythonFunction = {
@@ -2584,15 +2592,7 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
   }
 
   private def handleRegisterPythonUDF(fun: proto.CommonInlineUserDefinedFunction): Unit = {
-    val udf = fun.getPythonUdf
-    val function = transformPythonFunction(udf)
-    val udpf = UserDefinedPythonFunction(
-      name = fun.getFunctionName,
-      func = function,
-      dataType = transformDataType(udf.getOutputType),
-      pythonEvalType = udf.getEvalType,
-      udfDeterministic = fun.getDeterministic)
-
+    val udpf = createUserDefinedPythonFunction(fun)
     session.udf.registerPython(fun.getFunctionName, udpf)
   }
 
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 5707ae2a31fec..7c382ab1c5a54 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -942,7 +942,11 @@ def show(self, n: int = 20, truncate: Union[bool, int] = True, vertical: bool =
         age  | 16
         name | Bob
         """
+        print(self._show_string(n, truncate, vertical))
 
+    def _show_string(
+        self, n: int = 20, truncate: Union[bool, int] = True, vertical: bool = False
+    ) -> str:
         if not isinstance(n, int) or isinstance(n, bool):
             raise PySparkTypeError(
                 error_class="NOT_INT",
@@ -956,7 +960,7 @@ def show(self, n: int = 20, truncate: Union[bool, int] = True, vertical: bool =
             )
 
         if isinstance(truncate, bool) and truncate:
-            print(self._jdf.showString(n, 20, vertical))
+            return self._jdf.showString(n, 20, vertical)
         else:
             try:
                 int_truncate = int(truncate)
@@ -969,7 +973,7 @@ def show(self, n: int = 20, truncate: Union[bool, int] = True, vertical: bool =
                     },
                 )
 
-            print(self._jdf.showString(n, int_truncate, vertical))
+            return self._jdf.showString(n, int_truncate, vertical)
 
     def __repr__(self) -> str:
         if not self._support_repr_html and self.sparkSession._jconf.isReplEagerEvalEnabled():
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
index b867156e71a5d..c3cd0f37b1038 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
@@ -445,6 +445,41 @@ def cogroup(left: pd.DataFrame, right: pd.DataFrame) -> pd.DataFrame:
         actual = df.orderBy("id", "day").take(days)
         self.assertEqual(actual, [Row(0, day, vals, vals) for day in range(days)])
 
+    def test_with_local_data(self):
+        df1 = self.spark.createDataFrame(
+            [(1, 1.0, "a"), (2, 2.0, "b"), (1, 3.0, "c"), (2, 4.0, "d")], ("id", "v1", "v2")
+        )
+        df2 = self.spark.createDataFrame([(1, "x"), (2, "y"), (1, "z")], ("id", "v3"))
+
+        def summarize(left, right):
+            return pd.DataFrame(
+                {
+                    "left_rows": [len(left)],
+                    "left_columns": [len(left.columns)],
+                    "right_rows": [len(right)],
+                    "right_columns": [len(right.columns)],
+                }
+            )
+
+        df = (
+            df1.groupby("id")
+            .cogroup(df2.groupby("id"))
+            .applyInPandas(
+                summarize,
+                schema="left_rows long, left_columns long, right_rows long, right_columns long",
+            )
+        )
+
+        self.assertEqual(
+            df._show_string(),
+            "+---------+------------+----------+-------------+\n"
+            "|left_rows|left_columns|right_rows|right_columns|\n"
+            "+---------+------------+----------+-------------+\n"
+            "|        2|           3|         2|            2|\n"
+            "|        2|           3|         1|            2|\n"
+            "+---------+------------+----------+-------------+\n",
+        )
+
     @staticmethod
     def _test_with_key(left, right, isLeft):
         def right_assign_key(key, lft, rgt):

From 2fe253e2f137dc901fd81a79c65019a8ea2312ed Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 12 Jan 2024 12:54:29 -0800
Subject: [PATCH 546/986] [SPARK-46704][CORE][UI] Fix `MasterPage` to sort
 `Running Drivers` table by `Duration` column correctly

### What changes were proposed in this pull request?

This PR aims to fix `MasterPage` to sort `Running Drivers` table by `Duration` column correctly.

### Why are the changes needed?

Since Apache Spark 3.0.0, `MasterPage` shows `Duration` column of `Running Drivers`.

**BEFORE**
<img width="111" src="https://github.com/apache/spark/assets/9700541/50276e34-01be-4474-803d-79066e06cb2c">

**AFTER**
<img width="111" src="https://github.com/apache/spark/assets/9700541/a427b2e6-eab0-4d73-9114-1d8ff9d052c2">

### Does this PR introduce _any_ user-facing change?

Yes, this is a bug fix of UI.

### How was this patch tested?

Manual.

Run a Spark standalone cluster.
```
$ SPARK_MASTER_OPTS="-Dspark.master.rest.enabled=true -Dspark.deploy.maxDrivers=2" sbin/start-master.sh
$ sbin/start-worker.sh spark://$(hostname):7077
```

Submit multiple jobs via REST API.
```
$ curl -s -k -XPOST http://localhost:6066/v1/submissions/create \
    --header "Content-Type:application/json;charset=UTF-8" \
    --data '{
      "appResource": "",
      "sparkProperties": {
        "spark.master": "spark://localhost:7077",
        "spark.app.name": "Test 1",
        "spark.submit.deployMode": "cluster",
        "spark.jars": "/Users/dongjoon/APACHE/spark-merge/examples/target/scala-2.13/jars/spark-examples_2.13-4.0.0-SNAPSHOT.jar"
      },
      "clientSparkVersion": "",
      "mainClass": "org.apache.spark.examples.SparkPi",
      "environmentVariables": {},
      "action": "CreateSubmissionRequest",
      "appArgs": [ "10000" ]
    }'
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44711 from dongjoon-hyun/SPARK-46704.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 25c680cfd4dc63aeb9d16a673ee431c57188b80d)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/deploy/master/ui/MasterPage.scala  | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
index e7e90aa0a37da..d8753a0ffcb59 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
@@ -354,7 +354,9 @@ private[ui] class MasterPage(parent: MasterWebUI) extends WebUIPage("") {
       <td>{formatResourcesAddresses(driver.resources)}</td>
       <td>{driver.desc.command.arguments(2)}</td>
       {if (showDuration) {
-        <td>{UIUtils.formatDuration(System.currentTimeMillis() - driver.startTime)}</td>
+        <td sorttable_customkey={(-driver.startTime).toString}>
+          {UIUtils.formatDuration(System.currentTimeMillis() - driver.startTime)}
+        </td>
       }}
     </tr>
   }

From 679e4b6593a1c3aa439d9c8bb6237d203fba0e58 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 12 Jan 2024 13:49:24 -0800
Subject: [PATCH 547/986] [SPARK-46700][CORE] Count the last spilling for the
 shuffle disk spilling bytes metric

### What changes were proposed in this pull request?

This PR fixes a long-standing bug in ShuffleExternalSorter about the "spilled disk bytes" metrics. When we close the sorter, we will spill the remaining data in the buffer, with a flag `isLastFile = true`. This flag means the spilling will not increase the "spilled disk bytes" metrics. This makes sense if the sorter has never spilled before, then the final spill file will be used as the final shuffle output file, and we should keep the "spilled disk bytes" metrics as 0. However, if spilling did happen before, then we simply miscount the final spill file for the "spilled disk bytes" metrics today.

This PR fixes this issue, by setting that flag when closing the sorter only if this is the first spilling.

### Why are the changes needed?

make metrics accurate

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

updated tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44709 from cloud-fan/shuffle.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 4ea374257c1fdb276abcd6b953ba042593e4d5a3)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../shuffle/sort/ShuffleExternalSorter.java   | 34 +++++++++++--------
 .../shuffle/sort/UnsafeShuffleWriter.java     |  6 ----
 .../sort/UnsafeShuffleWriterSuite.java        | 20 +++++++----
 3 files changed, 33 insertions(+), 27 deletions(-)

diff --git a/core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java b/core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java
index a82f691d085d4..b097089282ce3 100644
--- a/core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java
+++ b/core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java
@@ -150,11 +150,21 @@ public long[] getChecksums() {
    * Sorts the in-memory records and writes the sorted records to an on-disk file.
    * This method does not free the sort data structures.
    *
-   * @param isLastFile if true, this indicates that we're writing the final output file and that the
-   *                   bytes written should be counted towards shuffle spill metrics rather than
-   *                   shuffle write metrics.
+   * @param isFinalFile if true, this indicates that we're writing the final output file and that
+   *                    the bytes written should be counted towards shuffle write metrics rather
+   *                    than shuffle spill metrics.
    */
-  private void writeSortedFile(boolean isLastFile) {
+  private void writeSortedFile(boolean isFinalFile) {
+    // Only emit the log if this is an actual spilling.
+    if (!isFinalFile) {
+      logger.info(
+        "Task {} on Thread {} spilling sort data of {} to disk ({} {} so far)",
+        taskContext.taskAttemptId(),
+        Thread.currentThread().getId(),
+        Utils.bytesToString(getMemoryUsage()),
+        spills.size(),
+        spills.size() != 1 ? " times" : " time");
+    }
 
     // This call performs the actual sort.
     final ShuffleInMemorySorter.ShuffleSorterIterator sortedRecords =
@@ -167,13 +177,14 @@ private void writeSortedFile(boolean isLastFile) {
 
     final ShuffleWriteMetricsReporter writeMetricsToUse;
 
-    if (isLastFile) {
+    if (isFinalFile) {
       // We're writing the final non-spill file, so we _do_ want to count this as shuffle bytes.
       writeMetricsToUse = writeMetrics;
     } else {
       // We're spilling, so bytes written should be counted towards spill rather than write.
       // Create a dummy WriteMetrics object to absorb these metrics, since we don't want to count
       // them towards shuffle bytes written.
+      // The actual shuffle bytes written will be counted when we merge the spill files.
       writeMetricsToUse = new ShuffleWriteMetrics();
     }
 
@@ -246,7 +257,7 @@ private void writeSortedFile(boolean isLastFile) {
       spills.add(spillInfo);
     }
 
-    if (!isLastFile) {  // i.e. this is a spill file
+    if (!isFinalFile) {  // i.e. this is a spill file
       // The current semantics of `shuffleRecordsWritten` seem to be that it's updated when records
       // are written to disk, not when they enter the shuffle sorting code. DiskBlockObjectWriter
       // relies on its `recordWritten()` method being called in order to trigger periodic updates to
@@ -281,12 +292,6 @@ public long spill(long size, MemoryConsumer trigger) throws IOException {
       return 0L;
     }
 
-    logger.info("Thread {} spilling sort data of {} to disk ({} {} so far)",
-      Thread.currentThread().getId(),
-      Utils.bytesToString(getMemoryUsage()),
-      spills.size(),
-      spills.size() > 1 ? " times" : " time");
-
     writeSortedFile(false);
     final long spillSize = freeMemory();
     inMemSorter.reset();
@@ -440,8 +445,9 @@ public void insertRecord(Object recordBase, long recordOffset, int length, int p
    */
   public SpillInfo[] closeAndGetSpills() throws IOException {
     if (inMemSorter != null) {
-      // Do not count the final file towards the spill count.
-      writeSortedFile(true);
+      // Here we are spilling the remaining data in the buffer. If there is no spill before, this
+      // final spill file will be the final shuffle output file.
+      writeSortedFile(/* isFinalFile = */spills.isEmpty());
       freeMemory();
       inMemSorter.free();
       inMemSorter = null;
diff --git a/core/src/main/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriter.java b/core/src/main/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriter.java
index 9c54184105951..d5b4eb138b1a6 100644
--- a/core/src/main/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriter.java
+++ b/core/src/main/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriter.java
@@ -327,12 +327,6 @@ private long[] mergeSpillsUsingStandardWriter(SpillInfo[] spills) throws IOExcep
         logger.debug("Using slow merge");
         mergeSpillsWithFileStream(spills, mapWriter, compressionCodec);
       }
-      // When closing an UnsafeShuffleExternalSorter that has already spilled once but also has
-      // in-memory records, we write out the in-memory records to a file but do not count that
-      // final write as bytes spilled (instead, it's accounted as shuffle write). The merge needs
-      // to be counted as shuffle write, but this will lead to double-counting of the final
-      // SpillInfo's bytes.
-      writeMetrics.decBytesWritten(spills[spills.length - 1].file.length());
       partitionLengths = mapWriter.commitAllPartitions(sorter.getChecksums()).getPartitionLengths();
     } catch (Exception e) {
       try {
diff --git a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
index d3aa93549a83a..1fa17b908699f 100644
--- a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
+++ b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
@@ -69,6 +69,7 @@ public class UnsafeShuffleWriterSuite implements ShuffleChecksumTestHelper {
   File tempDir;
   long[] partitionSizesInMergedFile;
   final LinkedList<File> spillFilesCreated = new LinkedList<>();
+  long totalSpilledDiskBytes = 0;
   SparkConf conf;
   final Serializer serializer =
     new KryoSerializer(new SparkConf().set("spark.kryo.unsafe", "false"));
@@ -96,6 +97,7 @@ public void setUp() throws Exception {
     mergedOutputFile = File.createTempFile("mergedoutput", "", tempDir);
     partitionSizesInMergedFile = null;
     spillFilesCreated.clear();
+    totalSpilledDiskBytes = 0;
     conf = new SparkConf()
       .set(package$.MODULE$.BUFFER_PAGESIZE().key(), "1m")
       .set(package$.MODULE$.MEMORY_OFFHEAP_ENABLED(), false)
@@ -160,7 +162,11 @@ public void setUp() throws Exception {
 
     when(diskBlockManager.createTempShuffleBlock()).thenAnswer(invocationOnMock -> {
       TempShuffleBlockId blockId = new TempShuffleBlockId(UUID.randomUUID());
-      File file = File.createTempFile("spillFile", ".spill", tempDir);
+      File file = spy(File.createTempFile("spillFile", ".spill", tempDir));
+      when(file.delete()).thenAnswer(inv -> {
+        totalSpilledDiskBytes += file.length();
+        return inv.callRealMethod();
+      });
       spillFilesCreated.add(file);
       return Tuple2$.MODULE$.apply(blockId, file);
     });
@@ -284,6 +290,9 @@ public void writeWithoutSpilling() throws Exception {
     final Option<MapStatus> mapStatus = writer.stop(true);
     assertTrue(mapStatus.isDefined());
     assertTrue(mergedOutputFile.exists());
+    // Even if there is no spill, the sorter still writes its data to a spill file at the end,
+    // which will become the final shuffle file.
+    assertEquals(1, spillFilesCreated.size());
 
     long sumOfPartitionSizes = 0;
     for (long size: partitionSizesInMergedFile) {
@@ -425,9 +434,8 @@ private void testMergingSpills(
     assertSpillFilesWereCleanedUp();
     ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics();
     assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
-    assertTrue(taskMetrics.diskBytesSpilled() > 0L);
-    assertTrue(taskMetrics.diskBytesSpilled() < mergedOutputFile.length());
     assertTrue(taskMetrics.memoryBytesSpilled() > 0L);
+    assertEquals(totalSpilledDiskBytes, taskMetrics.diskBytesSpilled());
     assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
   }
 
@@ -517,9 +525,8 @@ public void writeEnoughDataToTriggerSpill() throws Exception {
     assertSpillFilesWereCleanedUp();
     ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics();
     assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
-    assertTrue(taskMetrics.diskBytesSpilled() > 0L);
-    assertTrue(taskMetrics.diskBytesSpilled() < mergedOutputFile.length());
     assertTrue(taskMetrics.memoryBytesSpilled()> 0L);
+    assertEquals(totalSpilledDiskBytes, taskMetrics.diskBytesSpilled());
     assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
   }
 
@@ -550,9 +557,8 @@ private void writeEnoughRecordsToTriggerSortBufferExpansionAndSpill() throws Exc
     assertSpillFilesWereCleanedUp();
     ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics();
     assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
-    assertTrue(taskMetrics.diskBytesSpilled() > 0L);
-    assertTrue(taskMetrics.diskBytesSpilled() < mergedOutputFile.length());
     assertTrue(taskMetrics.memoryBytesSpilled()> 0L);
+    assertEquals(totalSpilledDiskBytes, taskMetrics.diskBytesSpilled());
     assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
   }
 

From 10d5d8956b4cc22f17b1752dc91766398e1540ee Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Tue, 16 Jan 2024 14:16:03 +0800
Subject: [PATCH 548/986] [SPARK-46715][INFRA][3.5] Pin `sphinxcontrib-*`

### What changes were proposed in this pull request?
backport https://github.com/apache/spark/pull/44727 to branch-3.5

### Why are the changes needed?
to restore doc build

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #44744 from zhengruifeng/infra_pin_shinxcontrib.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 .github/workflows/build_and_test.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 32f6a44102bf9..b0b72a0d1a689 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -678,7 +678,7 @@ jobs:
         #   See also https://issues.apache.org/jira/browse/SPARK-35375.
         # Pin the MarkupSafe to 2.0.1 to resolve the CI error.
         #   See also https://issues.apache.org/jira/browse/SPARK-38279.
-        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0'
+        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0' 'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' 'nest-asyncio==1.5.8' 'rpds-py==0.16.2' 'alabaster==0.7.13'
         python3.9 -m pip install ipython_genutils # See SPARK-38517
         python3.9 -m pip install sphinx_plotly_directive 'numpy>=1.20.0' pyarrow pandas 'plotly>=4.8'
         python3.9 -m pip install 'docutils<0.18.0' # See SPARK-39421

From 5a0bc96d5f5e42fa5e6ea9d024da572343f239a9 Mon Sep 17 00:00:00 2001
From: xieshuaihu <xieshuaihu@agora.io>
Date: Wed, 17 Jan 2024 15:24:58 +0900
Subject: [PATCH 549/986] [SPARK-46732][CONNECT][3.5] Make Subquery/Broadcast
 thread work with Connect's artifact management

### What changes were proposed in this pull request?

Similar with SPARK-44794, propagate JobArtifactState to broadcast/subquery thread.

This is an example:

```scala
val add1 = udf((i: Long) => i + 1)
val tableA = spark.range(2).alias("a")
val tableB = broadcast(spark.range(2).select(add1(col("id")).alias("id"))).alias("b")
tableA.join(tableB).
  where(col("a.id")===col("b.id")).
  select(col("a.id").alias("a_id"), col("b.id").alias("b_id")).
  collect().
  mkString("[", ", ", "]")
```

Before this pr, this example will throw exception `ClassNotFoundException`. Subquery and Broadcast execution use a separate ThreadPool which don't have the `JobArtifactState`.

### Why are the changes needed?
Fix bug. Make Subquery/Broadcast thread work with Connect's artifact management.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Add a new test to `ReplE2ESuite`

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44763 from xieshuaihu/SPARK-46732backport.

Authored-by: xieshuaihu <xieshuaihu@agora.io>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../spark/sql/application/ReplE2ESuite.scala     | 16 ++++++++++++++++
 .../spark/sql/execution/SQLExecution.scala       |  5 +++--
 2 files changed, 19 insertions(+), 2 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
index 5bb8cbf3543b0..9d61b4d56e1ed 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/application/ReplE2ESuite.scala
@@ -362,4 +362,20 @@ class ReplE2ESuite extends RemoteSparkSession with BeforeAndAfterEach {
     val output = runCommandsInShell(input)
     assertContains("noException: Boolean = true", output)
   }
+
+  test("broadcast works with REPL generated code") {
+    val input =
+      """
+        |val add1 = udf((i: Long) => i + 1)
+        |val tableA = spark.range(2).alias("a")
+        |val tableB = broadcast(spark.range(2).select(add1(col("id")).alias("id"))).alias("b")
+        |tableA.join(tableB).
+        |  where(col("a.id")===col("b.id")).
+        |  select(col("a.id").alias("a_id"), col("b.id").alias("b_id")).
+        |  collect().
+        |  mkString("[", ", ", "]")
+        |""".stripMargin
+    val output = runCommandsInShell(input)
+    assertContains("""String = "[[1,1]]"""", output)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
index daeac699c2791..b4cbb61352235 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.execution
 import java.util.concurrent.{ConcurrentHashMap, ExecutorService, Future => JFuture}
 import java.util.concurrent.atomic.AtomicLong
 
-import org.apache.spark.{ErrorMessageFormat, SparkContext, SparkThrowable, SparkThrowableHelper}
+import org.apache.spark.{ErrorMessageFormat, JobArtifactSet, SparkContext, SparkThrowable, SparkThrowableHelper}
 import org.apache.spark.internal.config.{SPARK_DRIVER_PREFIX, SPARK_EXECUTOR_PREFIX}
 import org.apache.spark.internal.config.Tests.IS_TESTING
 import org.apache.spark.sql.SparkSession
@@ -215,7 +215,8 @@ object SQLExecution {
     val activeSession = sparkSession
     val sc = sparkSession.sparkContext
     val localProps = Utils.cloneProperties(sc.getLocalProperties)
-    exec.submit(() => {
+    val artifactState = JobArtifactSet.getCurrentJobArtifactState.orNull
+    exec.submit(() => JobArtifactSet.withActiveJobArtifactState(artifactState) {
       val originalSession = SparkSession.getActiveSession
       val originalLocalProps = sc.getLocalProperties
       SparkSession.setActiveSession(activeSession)

From d083da76b4d6b4f1351f2b4597840e2cc1a8683a Mon Sep 17 00:00:00 2001
From: Xinrong Meng <xinrong@apache.org>
Date: Thu, 18 Jan 2024 09:01:05 +0900
Subject: [PATCH 550/986] [SPARK-46663][PYTHON][3.5] Disable memory profiler
 for pandas UDFs with iterators

### What changes were proposed in this pull request?
When using pandas UDFs with iterators, if users enable the profiling spark conf, a warning indicating non-support should be raised, and profiling should be disabled.

However, currently, after raising the not-supported warning, the memory profiler is still being enabled.

The PR proposed to fix that.

### Why are the changes needed?
A bug fix to eliminate misleading behavior.

### Does this PR introduce _any_ user-facing change?
The noticeable changes will affect only those using the PySpark shell. This is because, in the PySpark shell, the memory profiler will raise an error, which in turn blocks the execution of the UDF.

### How was this patch tested?
Manual test.

### Was this patch authored or co-authored using generative AI tooling?
Setup:
```py
$ ./bin/pyspark --conf spark.python.profile=true

>>> from typing import Iterator
>>> from pyspark.sql.functions import *
>>> import pandas as pd
>>> pandas_udf("long")
... def plus_one(iterator: Iterator[pd.Series]) -> Iterator[pd.Series]:
...     for s in iterator:
...         yield s + 1
...
>>> df = spark.createDataFrame(pd.DataFrame([1, 2, 3], columns=["v"]))
```

Before:
```
>>> df.select(plus_one(df.v)).show()
UserWarning: Profiling UDFs with iterators input/output is not supported.
Traceback (most recent call last):
...
OSError: could not get source code
```

After:
```
>>> df.select(plus_one(df.v)).show()
/Users/xinrong.meng/spark/python/pyspark/sql/udf.py:417: UserWarning: Profiling UDFs with iterators input/output is not supported.
+-----------+
|plus_one(v)|
+-----------+
|          2|
|          3|
|          4|
+-----------+
```

Closes #44760 from xinrong-meng/PR_TOOL_PICK_PR_44668_BRANCH-3.5.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_udf_profiler.py | 53 ++++++++++++++++++-
 python/pyspark/sql/udf.py                     | 32 ++++++-----
 2 files changed, 67 insertions(+), 18 deletions(-)

diff --git a/python/pyspark/sql/tests/test_udf_profiler.py b/python/pyspark/sql/tests/test_udf_profiler.py
index 136f423d0a35c..019e502ec67cf 100644
--- a/python/pyspark/sql/tests/test_udf_profiler.py
+++ b/python/pyspark/sql/tests/test_udf_profiler.py
@@ -19,11 +19,19 @@
 import unittest
 import os
 import sys
+import warnings
 from io import StringIO
+from typing import Iterator
 
 from pyspark import SparkConf
 from pyspark.sql import SparkSession
-from pyspark.sql.functions import udf
+from pyspark.sql.functions import udf, pandas_udf
+from pyspark.testing.sqlutils import (
+    have_pandas,
+    have_pyarrow,
+    pandas_requirement_message,
+    pyarrow_requirement_message,
+)
 from pyspark.profiler import UDFBasicProfiler
 
 
@@ -101,6 +109,49 @@ def add2(x):
         df = self.spark.range(10)
         df.select(add1("id"), add2("id"), add1("id")).collect()
 
+    # Unsupported
+    def exec_pandas_udf_iter_to_iter(self):
+        import pandas as pd
+
+        @pandas_udf("int")
+        def iter_to_iter(batch_ser: Iterator[pd.Series]) -> Iterator[pd.Series]:
+            for ser in batch_ser:
+                yield ser + 1
+
+        self.spark.range(10).select(iter_to_iter("id")).collect()
+
+    # Unsupported
+    def exec_map(self):
+        import pandas as pd
+
+        def map(pdfs: Iterator[pd.DataFrame]) -> Iterator[pd.DataFrame]:
+            for pdf in pdfs:
+                yield pdf[pdf.id == 1]
+
+        df = self.spark.createDataFrame([(1, 1.0), (1, 2.0), (2, 3.0), (2, 5.0)], ("id", "v"))
+        df.mapInPandas(map, schema=df.schema).collect()
+
+    @unittest.skipIf(not have_pandas, pandas_requirement_message)  # type: ignore
+    @unittest.skipIf(not have_pyarrow, pyarrow_requirement_message)  # type: ignore
+    def test_unsupported(self):
+        with warnings.catch_warnings(record=True) as warns:
+            warnings.simplefilter("always")
+            self.exec_pandas_udf_iter_to_iter()
+            user_warns = [warn.message for warn in warns if isinstance(warn.message, UserWarning)]
+            self.assertTrue(len(user_warns) > 0)
+            self.assertTrue(
+                "Profiling UDFs with iterators input/output is not supported" in str(user_warns[0])
+            )
+
+        with warnings.catch_warnings(record=True) as warns:
+            warnings.simplefilter("always")
+            self.exec_map()
+            user_warns = [warn.message for warn in warns if isinstance(warn.message, UserWarning)]
+            self.assertTrue(len(user_warns) > 0)
+            self.assertTrue(
+                "Profiling UDFs with iterators input/output is not supported" in str(user_warns[0])
+            )
+
 
 if __name__ == "__main__":
     from pyspark.sql.tests.test_udf_profiler import *  # noqa: F401
diff --git a/python/pyspark/sql/udf.py b/python/pyspark/sql/udf.py
index 7d7784dd5226d..bdd3aba502b89 100644
--- a/python/pyspark/sql/udf.py
+++ b/python/pyspark/sql/udf.py
@@ -28,7 +28,6 @@
 from py4j.java_gateway import JavaObject
 
 from pyspark import SparkContext
-from pyspark.profiler import Profiler
 from pyspark.rdd import _prepare_for_python_RDD, PythonEvalType
 from pyspark.sql.column import Column, _to_java_column, _to_java_expr, _to_seq
 from pyspark.sql.types import (
@@ -338,24 +337,23 @@ def _create_judf(self, func: Callable[..., Any]) -> JavaObject:
 
     def __call__(self, *cols: "ColumnOrName") -> Column:
         sc = get_active_spark_context()
-        profiler: Optional[Profiler] = None
-        memory_profiler: Optional[Profiler] = None
-        if sc.profiler_collector:
-            profiler_enabled = sc._conf.get("spark.python.profile", "false") == "true"
-            memory_profiler_enabled = sc._conf.get("spark.python.profile.memory", "false") == "true"
+        profiler_enabled = sc._conf.get("spark.python.profile", "false") == "true"
+        memory_profiler_enabled = sc._conf.get("spark.python.profile.memory", "false") == "true"
 
+        if profiler_enabled or memory_profiler_enabled:
             # Disable profiling Pandas UDFs with iterators as input/output.
-            if profiler_enabled or memory_profiler_enabled:
-                if self.evalType in [
-                    PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF,
-                    PythonEvalType.SQL_MAP_PANDAS_ITER_UDF,
-                    PythonEvalType.SQL_MAP_ARROW_ITER_UDF,
-                ]:
-                    profiler_enabled = memory_profiler_enabled = False
-                    warnings.warn(
-                        "Profiling UDFs with iterators input/output is not supported.",
-                        UserWarning,
-                    )
+            if self.evalType in [
+                PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF,
+                PythonEvalType.SQL_MAP_PANDAS_ITER_UDF,
+                PythonEvalType.SQL_MAP_ARROW_ITER_UDF,
+            ]:
+                warnings.warn(
+                    "Profiling UDFs with iterators input/output is not supported.",
+                    UserWarning,
+                )
+                judf = self._judf
+                jPythonUDF = judf.apply(_to_seq(sc, cols, _to_java_column))
+                return Column(jPythonUDF)
 
             # Disallow enabling two profilers at the same time.
             if profiler_enabled and memory_profiler_enabled:

From b27d169c85e99ceffb20a6df8d10340749ab2129 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 18 Jan 2024 08:19:52 -0800
Subject: [PATCH 551/986] [MINOR][DOCS] Add zstandard as a candidate to fix the
 desc of spark.sql.avro.compression.codec

### What changes were proposed in this pull request?

Add zstandard as a candidate to fix the desc of spark.sql.avro.compression.codec

### Why are the changes needed?

docfix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

doc build
### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44783 from yaooqinn/avro_minor.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit c040824fd75c955dbc8e5712bc473a0ddb9a8c0f)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/sql-data-sources-avro.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sql-data-sources-avro.md b/docs/sql-data-sources-avro.md
index c846116ebf3e3..1da75e5d7b17e 100644
--- a/docs/sql-data-sources-avro.md
+++ b/docs/sql-data-sources-avro.md
@@ -348,7 +348,7 @@ Configuration of Avro can be done using the `setConf` method on SparkSession or
     <td>snappy</td>
     <td>
       Compression codec used in writing of AVRO files. Supported codecs: uncompressed, deflate,
-      snappy, bzip2 and xz. Default codec is snappy.
+      snappy, bzip2, xz and zstandard. Default codec is snappy.
     </td>
     <td>2.4.0</td>
   </tr>

From fa6bf22112b4300dae1e7617f1480c0d12124b90 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Fri, 19 Jan 2024 11:38:53 +0900
Subject: [PATCH 552/986] [SPARK-46676][SS] dropDuplicatesWithinWatermark
 should not fail on canonicalization of the plan

### What changes were proposed in this pull request?

This PR proposes to fix the bug on canonicalizing the plan which contains the physical node of dropDuplicatesWithinWatermark (`StreamingDeduplicateWithinWatermarkExec`).

### Why are the changes needed?

Canonicalization of the plan will replace the expressions (including attributes) to remove out cosmetic, including name, "and metadata", which denotes the event time column marker.

StreamingDeduplicateWithinWatermarkExec assumes that the input attributes of child node contain the event time column, and it is determined at the initialization of the node instance. Once canonicalization is being triggered, child node will lose the notion of event time column from its attributes, and copy of StreamingDeduplicateWithinWatermarkExec will be performed which instantiating a new node of `StreamingDeduplicateWithinWatermarkExec` with new child node, which no longer has an event time column, hence instantiation will fail.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New UT added.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44688 from HeartSaVioR/SPARK-46676.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit c1ed3e60e67f53bb323e2b9fa47789fcde70a75a)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../streaming/statefulOperators.scala         | 10 ++++++---
 ...ingDeduplicationWithinWatermarkSuite.scala | 21 +++++++++++++++++++
 2 files changed, 28 insertions(+), 3 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala
index b31f6151fce23..b597c9723f5cf 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala
@@ -1037,10 +1037,14 @@ case class StreamingDeduplicateWithinWatermarkExec(
 
   protected val extraOptionOnStateStore: Map[String, String] = Map.empty
 
-  private val eventTimeCol: Attribute = WatermarkSupport.findEventTimeColumn(child.output,
+  // Below three variables are defined as lazy, as evaluating these variables does not work with
+  // canonicalized plan. Specifically, attributes in child won't have an event time column in
+  // the canonicalized plan. These variables are NOT referenced in canonicalized plan, hence
+  // defining these variables as lazy would avoid such error.
+  private lazy val eventTimeCol: Attribute = WatermarkSupport.findEventTimeColumn(child.output,
     allowMultipleEventTimeColumns = false).get
-  private val delayThresholdMs = eventTimeCol.metadata.getLong(EventTimeWatermark.delayKey)
-  private val eventTimeColOrdinal: Int = child.output.indexOf(eventTimeCol)
+  private lazy val delayThresholdMs = eventTimeCol.metadata.getLong(EventTimeWatermark.delayKey)
+  private lazy val eventTimeColOrdinal: Int = child.output.indexOf(eventTimeCol)
 
   protected def initializeReusedDupInfoRow(): Option[UnsafeRow] = {
     val timeoutToUnsafeRow = UnsafeProjection.create(schemaForValueRow)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
index 595fc1cb9cea8..9a02ab3df7dd4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
@@ -199,4 +199,25 @@ class StreamingDeduplicationWithinWatermarkSuite extends StateStoreMetricsTest {
       )
     }
   }
+
+  test("SPARK-46676: canonicalization of StreamingDeduplicateWithinWatermarkExec should work") {
+    withTempDir { checkpoint =>
+      val dedupeInputData = MemoryStream[(String, Int)]
+      val dedupe = dedupeInputData.toDS()
+        .withColumn("eventTime", timestamp_seconds($"_2"))
+        .withWatermark("eventTime", "10 second")
+        .dropDuplicatesWithinWatermark("_1")
+        .select($"_1", $"eventTime".cast("long").as[Long])
+
+      testStream(dedupe, Append)(
+        StartStream(checkpointLocation = checkpoint.getCanonicalPath),
+        AddData(dedupeInputData, "a" -> 1),
+        CheckNewAnswer("a" -> 1),
+        Execute { q =>
+          // This threw out error before SPARK-46676.
+          q.lastExecution.executedPlan.canonicalized
+        }
+      )
+    }
+  }
 }

From c19bf01b5208bb3aad0e6264b64597e0809b1efe Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Sat, 20 Jan 2024 20:57:09 +0800
Subject: [PATCH 553/986] [SPARK-46769][SQL] Refine timestamp related schema
 inference

This is a refinement of https://github.com/apache/spark/pull/43243 . This PR enforces one thing: we only infer TIMESTAMP NTZ type using NTZ parser, and only infer LTZ type using LTZ parser. This consistency is important to avoid nondeterministic behaviors.

Avoid non-deterministic behaviors. After https://github.com/apache/spark/pull/43243 , we can still have inconsistency if the LEGACY mode is enabled.

Yes for the legacy parser. Now it's more likely to infer string type instead of inferring timestamp type "by luck"

existing tests

no

Closes https://github.com/apache/spark/pull/44789

Closes #44800 from cloud-fan/infer.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit e4e40762ca41931646b8f201028b1f2298252d96)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/csv/CSVInferSchema.scala     | 18 ++++----
 .../sql/catalyst/json/JsonInferSchema.scala   | 32 ++++++++++----
 .../execution/datasources/csv/CSVSuite.scala  | 42 +++++++++----------
 3 files changed, 55 insertions(+), 37 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
index ec01b56f9eb7c..2c27da3cf6e15 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.expressions.ExprUtils
 import org.apache.spark.sql.catalyst.util.{DateFormatter, TimestampFormatter}
 import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.errors.QueryExecutionErrors
-import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 
 class CSVInferSchema(val options: CSVOptions) extends Serializable {
@@ -66,6 +66,8 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable {
   private val LENIENT_TS_FORMATTER_SUPPORTED_DATE_FORMATS = Set(
     "yyyy-MM-dd", "yyyy-M-d", "yyyy-M-dd", "yyyy-MM-d", "yyyy-MM", "yyyy-M", "yyyy")
 
+  private val isDefaultNTZ = SQLConf.get.timestampType == TimestampNTZType
+
   /**
    * Similar to the JSON schema inference
    *     1. Infer type of each row
@@ -199,14 +201,12 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable {
   }
 
   private def tryParseTimestampNTZ(field: String): DataType = {
-    // We can only parse the value as TimestampNTZType if it does not have zone-offset or
-    // time-zone component and can be parsed with the timestamp formatter.
-    // Otherwise, it is likely to be a timestamp with timezone.
-    val timestampType = SQLConf.get.timestampType
-    if ((SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
-        timestampType == TimestampNTZType) &&
-        timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
-      timestampType
+    // For text-based format, it's ambiguous to infer a timestamp string without timezone, as it can
+    // be both TIMESTAMP LTZ and NTZ. To avoid behavior changes with the new support of NTZ, here
+    // we only try to infer NTZ if the config is set to use NTZ by default.
+    if (isDefaultNTZ &&
+      timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
+      TimestampNTZType
     } else {
       tryParseTimestamp(field)
     }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
index 4123c5290b6a1..f6d32f39f64ee 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
@@ -34,6 +34,7 @@ import org.apache.spark.sql.catalyst.util.LegacyDateFormats.FAST_DATE_FORMAT
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.internal.{LegacyBehaviorPolicy, SQLConf}
 import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.UTF8String
 import org.apache.spark.util.Utils
 
 private[sql] class JsonInferSchema(options: JSONOptions) extends Serializable {
@@ -53,6 +54,9 @@ private[sql] class JsonInferSchema(options: JSONOptions) extends Serializable {
     isParsing = true,
     forTimestampNTZ = true)
 
+  private val isDefaultNTZ = SQLConf.get.timestampType == TimestampNTZType
+  private val legacyMode = SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY
+
   private def handleJsonErrorsByParseMode(parseMode: ParseMode,
       columnNameOfCorruptRecord: String, e: Throwable): Option[StructType] = {
     parseMode match {
@@ -148,16 +152,30 @@ private[sql] class JsonInferSchema(options: JSONOptions) extends Serializable {
           val bigDecimal = decimalParser(field)
             DecimalType(bigDecimal.precision, bigDecimal.scale)
         }
-        val timestampType = SQLConf.get.timestampType
         if (options.prefersDecimal && decimalTry.isDefined) {
           decimalTry.get
-        } else if (options.inferTimestamp && (SQLConf.get.legacyTimeParserPolicy ==
-          LegacyBehaviorPolicy.LEGACY || timestampType == TimestampNTZType) &&
+        } else if (options.inferTimestamp) {
+          // For text-based format, it's ambiguous to infer a timestamp string without timezone, as
+          // it can be both TIMESTAMP LTZ and NTZ. To avoid behavior changes with the new support
+          // of NTZ, here we only try to infer NTZ if the config is set to use NTZ by default.
+          if (isDefaultNTZ &&
             timestampNTZFormatter.parseWithoutTimeZoneOptional(field, false).isDefined) {
-          timestampType
-        } else if (options.inferTimestamp &&
-            timestampFormatter.parseOptional(field).isDefined) {
-          TimestampType
+            TimestampNTZType
+          } else if (timestampFormatter.parseOptional(field).isDefined) {
+            TimestampType
+          } else if (legacyMode) {
+            val utf8Value = UTF8String.fromString(field)
+            // There was a mistake that we use TIMESTAMP NTZ parser to infer LTZ type with legacy
+            // mode. The mistake makes it easier to infer TIMESTAMP LTZ type and we have to keep
+            // this behavior now. See SPARK-46769 for more details.
+            if (SparkDateTimeUtils.stringToTimestampWithoutTimeZone(utf8Value, false).isDefined) {
+              TimestampType
+            } else {
+              StringType
+            }
+          } else {
+            StringType
+          }
         } else {
           StringType
         }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index 3bd45ca0dcdb3..78266acfd7de9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -1105,10 +1105,12 @@ abstract class CSVSuite
 
   test("SPARK-37326: Timestamp type inference for a column with TIMESTAMP_NTZ values") {
     withTempPath { path =>
-      val exp = spark.sql("""
-        select timestamp_ntz'2020-12-12 12:12:12' as col0 union all
-        select timestamp_ntz'2020-12-12 12:12:12' as col0
-        """)
+      val exp = spark.sql(
+        """
+          |select *
+          |from values (timestamp_ntz'2020-12-12 12:12:12'), (timestamp_ntz'2020-12-12 12:12:12')
+          |as t(col0)
+          |""".stripMargin)
 
       exp.write.format("csv").option("header", "true").save(path.getAbsolutePath)
 
@@ -1126,6 +1128,15 @@ abstract class CSVSuite
 
           if (timestampType == SQLConf.TimestampTypes.TIMESTAMP_NTZ.toString) {
             checkAnswer(res, exp)
+          } else if (SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY) {
+            // When legacy parser is enabled, we can't parse the NTZ string to LTZ, and eventually
+            // infer string type.
+            val expected = spark.read
+              .format("csv")
+              .option("inferSchema", "false")
+              .option("header", "true")
+              .load(path.getAbsolutePath)
+            checkAnswer(res, expected)
           } else {
             checkAnswer(
               res,
@@ -2862,13 +2873,12 @@ abstract class CSVSuite
 
   test("SPARK-40474: Infer schema for columns with a mix of dates and timestamp") {
     withTempPath { path =>
-      Seq(
-        "1765-03-28",
+      val input = Seq(
         "1423-11-12T23:41:00",
+        "1765-03-28",
         "2016-01-28T20:00:00"
-      ).toDF()
-        .repartition(1)
-        .write.text(path.getAbsolutePath)
+      ).toDF().repartition(1)
+      input.write.text(path.getAbsolutePath)
 
       if (SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY) {
         val options = Map(
@@ -2879,12 +2889,7 @@ abstract class CSVSuite
           .format("csv")
           .options(options)
           .load(path.getAbsolutePath)
-        val expected = Seq(
-          Row(Timestamp.valueOf("1765-03-28 00:00:00.0")),
-          Row(Timestamp.valueOf("1423-11-12 23:41:00.0")),
-          Row(Timestamp.valueOf("2016-01-28 20:00:00.0"))
-        )
-        checkAnswer(df, expected)
+        checkAnswer(df, input)
       } else {
         // When timestampFormat is specified, infer and parse the column as strings
         val options1 = Map(
@@ -2895,12 +2900,7 @@ abstract class CSVSuite
           .format("csv")
           .options(options1)
           .load(path.getAbsolutePath)
-        val expected1 = Seq(
-          Row("1765-03-28"),
-          Row("1423-11-12T23:41:00"),
-          Row("2016-01-28T20:00:00")
-        )
-        checkAnswer(df1, expected1)
+        checkAnswer(df1, input)
 
         // When timestampFormat is not specified, infer and parse the column as
         // timestamp type if possible

From b98cf95896a2b14e3692f1e7d58660583a2bb175 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sat, 20 Jan 2024 17:51:12 -0800
Subject: [PATCH 554/986] [SPARK-46786][K8S] Fix `MountVolumesFeatureStep` to
 use `ReadWriteOncePod` instead of `ReadWriteOnce`

This PR aims to fix a duplicated volume mounting bug by using `ReadWriteOncePod` instead of `ReadWriteOnce`.

This bug fix is based on the stable K8s feature which is available since v1.22.

- [KEP-2485: ReadWriteOncePod PersistentVolume AccessMode](https://github.com/kubernetes/enhancements/blob/master/keps/sig-storage/2485-read-write-once-pod-pv-access-mode/README.md)
- https://kubernetes.io/docs/concepts/storage/persistent-volumes/#access-modes
    - v1.22 Alpha
    - v1.27 Beta
    - v1.29 Stable

For the record, the minimum K8s version of GKE/EKS/AKE is **v1.24** as of today and the latest v1.29 is supported like the following.
- [2024.01 (GKE Regular Channel)](https://cloud.google.com/kubernetes-engine/docs/release-schedule)
- [2024.02 (AKE GA)](https://learn.microsoft.com/en-us/azure/aks/supported-kubernetes-versions?tabs=azure-cli#aks-kubernetes-release-calendar)

This is a bug fix.

Pass the CIs with the existing PV-related tests.

No.

Closes #44817 from dongjoon-hyun/SPARK-46786.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 45ec74415a4a89851968941b80c490e37ee88daf)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/deploy/k8s/features/MountVolumesFeatureStep.scala     | 2 +-
 .../apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
index 78dd6ec21ed34..cbbbb9c0bdf57 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
@@ -126,5 +126,5 @@ private[spark] object MountVolumesFeatureStep {
   val PVC_ON_DEMAND = "OnDemand"
   val PVC = "PersistentVolumeClaim"
   val PVC_POSTFIX = "-pvc"
-  val PVC_ACCESS_MODE = "ReadWriteOnce"
+  val PVC_ACCESS_MODE = "ReadWriteOncePod"
 }
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
index 1d373f3f8066e..f8e76012638cf 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
@@ -166,7 +166,7 @@ private[spark] trait PVTestsSuite { k8sSuite: KubernetesSuite =>
     }
   }
 
-  test("PVs with local hostpath and storageClass on statefulsets", k8sTestTag, MinikubeTag) {
+  ignore("PVs with local hostpath and storageClass on statefulsets", k8sTestTag, MinikubeTag) {
     sparkAppConf
       .set(s"spark.kubernetes.driver.volumes.persistentVolumeClaim.data.mount.path",
         CONTAINER_MOUNT_PATH)

From 687c2979959f13ac2c32e596f745f79284144735 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sat, 20 Jan 2024 18:53:21 -0800
Subject: [PATCH 555/986] [SPARK-44495][INFRA][K8S][3.5] Use the latest
 minikube in K8s IT

### What changes were proposed in this pull request?

This is a backport of #44813 .

This PR aims to recover GitHub Action K8s IT to use the latest Minikube and to make it sure that Apache Spark K8s module are tested with all Minikubes without any issues.

**BEFORE**
- Minikube: v1.30.1
- K8s: v1.26.3

**AFTER**
- Minikube: v1.32.0
- K8s: v1.28.3

### Why are the changes needed?

- Previously, it was pinned due to the failure.
- After this PR, we will track the latest Minikube and K8s version always.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44819 from dongjoon-hyun/SPARK-44495-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml                        | 6 ++----
 .../k8s/integrationtest/KubernetesTestComponents.scala      | 2 ++
 .../spark/deploy/k8s/integrationtest/PVTestsSuite.scala     | 4 +++-
 .../deploy/k8s/integrationtest/VolcanoTestsSuite.scala      | 4 ++--
 4 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index b0b72a0d1a689..ad8685754b316 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -1016,9 +1016,7 @@ jobs:
       - name: start minikube
         run: |
           # See more in "Installation" https://minikube.sigs.k8s.io/docs/start/
-          # curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
-          # TODO(SPARK-44495): Resume to use the latest minikube for k8s-integration-tests.
-          curl -LO https://storage.googleapis.com/minikube/releases/v1.30.1/minikube-linux-amd64
+          curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
           sudo install minikube-linux-amd64 /usr/local/bin/minikube
           # Github Action limit cpu:2, memory: 6947MB, limit to 2U6G for better resource statistic
           minikube start --cpus 2 --memory 6144
@@ -1036,7 +1034,7 @@ jobs:
           kubectl create clusterrolebinding serviceaccounts-cluster-admin --clusterrole=cluster-admin --group=system:serviceaccounts || true
           kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/v1.7.0/installer/volcano-development.yaml || true
           eval $(minikube docker-env)
-          build/sbt -Psparkr -Pkubernetes -Pvolcano -Pkubernetes-integration-tests -Dspark.kubernetes.test.driverRequestCores=0.5 -Dspark.kubernetes.test.executorRequestCores=0.2 -Dspark.kubernetes.test.volcanoMaxConcurrencyJobNum=1 -Dtest.exclude.tags=local "kubernetes-integration-tests/test"
+          build/sbt -Psparkr -Pkubernetes -Pvolcano -Pkubernetes-integration-tests -Dspark.kubernetes.test.volcanoMaxConcurrencyJobNum=1 -Dtest.exclude.tags=local "kubernetes-integration-tests/test"
       - name: Upload Spark on K8S integration tests log files
         if: failure()
         uses: actions/upload-artifact@v3
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesTestComponents.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesTestComponents.scala
index 4aba11bdb9d8f..4ebf44ce9a4bc 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesTestComponents.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesTestComponents.scala
@@ -75,6 +75,8 @@ private[spark] class KubernetesTestComponents(val kubernetesClient: KubernetesCl
       .set(UI_ENABLED.key, "true")
       .set("spark.kubernetes.submission.waitAppCompletion", "false")
       .set("spark.kubernetes.authenticate.driver.serviceAccountName", serviceAccountName)
+      .set("spark.kubernetes.driver.request.cores", "0.2")
+      .set("spark.kubernetes.executor.request.cores", "0.2")
   }
 }
 
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
index f8e76012638cf..a699ef674cdcd 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala
@@ -24,6 +24,7 @@ import org.scalatest.concurrent.{Eventually, PatienceConfiguration}
 import org.scalatest.time.{Milliseconds, Span}
 
 import org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite._
+import org.apache.spark.deploy.k8s.integrationtest.backend.minikube.MinikubeTestBackend
 
 private[spark] trait PVTestsSuite { k8sSuite: KubernetesSuite =>
   import PVTestsSuite._
@@ -54,6 +55,7 @@ private[spark] trait PVTestsSuite { k8sSuite: KubernetesSuite =>
 
     setupLocalStorageClass()
 
+    val hostname = if (testBackend == MinikubeTestBackend) "minikube" else "docker-desktop"
     val pvBuilder = new PersistentVolumeBuilder()
       .withKind("PersistentVolume")
       .withApiVersion("v1")
@@ -72,7 +74,7 @@ private[spark] trait PVTestsSuite { k8sSuite: KubernetesSuite =>
                 .withMatchExpressions(new NodeSelectorRequirementBuilder()
                   .withKey("kubernetes.io/hostname")
                   .withOperator("In")
-                  .withValues("minikube", "m01", "docker-for-desktop", "docker-desktop")
+                  .withValues(hostname)
                   .build()).build())
             .endRequired()
           .endNodeAffinity()
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolcanoTestsSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolcanoTestsSuite.scala
index 06d6f7dc100f3..e7143e32db61e 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolcanoTestsSuite.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolcanoTestsSuite.scala
@@ -496,8 +496,8 @@ private[spark] object VolcanoTestsSuite extends SparkFunSuite {
   val DRIVER_PG_TEMPLATE_MEMORY_3G = new File(
     getClass.getResource("/volcano/driver-podgroup-template-memory-3g.yml").getFile
   ).getAbsolutePath
-  val DRIVER_REQUEST_CORES = sys.props.get(CONFIG_DRIVER_REQUEST_CORES).getOrElse("1")
-  val EXECUTOR_REQUEST_CORES = sys.props.get(CONFIG_EXECUTOR_REQUEST_CORES).getOrElse("1")
+  val DRIVER_REQUEST_CORES = sys.props.get(CONFIG_DRIVER_REQUEST_CORES).getOrElse("0.2")
+  val EXECUTOR_REQUEST_CORES = sys.props.get(CONFIG_EXECUTOR_REQUEST_CORES).getOrElse("0.2")
   val VOLCANO_MAX_JOB_NUM = sys.props.get(CONFIG_KEY_VOLCANO_MAX_JOB_NUM).getOrElse("2")
   val TEMP_DIR = "/tmp/"
 }

From 04d32493fde779021871c88709dbbae32f18e512 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 22 Jan 2024 16:19:39 +0800
Subject: [PATCH 556/986] [SPARK-46789][K8S][TESTS] Add `VolumeSuite` to K8s IT

### What changes were proposed in this pull request?

This PR aims to add `VolumeSuite` to K8s IT.

### Why are the changes needed?

To improve the test coverage on various K8s volume use cases.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44827 from dongjoon-hyun/SPARK-46789.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../k8s/integrationtest/KubernetesSuite.scala |   4 +-
 .../k8s/integrationtest/VolumeSuite.scala     | 173 ++++++++++++++++++
 2 files changed, 175 insertions(+), 2 deletions(-)
 create mode 100644 resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolumeSuite.scala

diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesSuite.scala
index f52af87a745ca..54ef1f6cee30d 100644
--- a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesSuite.scala
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesSuite.scala
@@ -45,8 +45,8 @@ import org.apache.spark.internal.config._
 class KubernetesSuite extends SparkFunSuite
   with BeforeAndAfterAll with BeforeAndAfter with BasicTestsSuite with SparkConfPropagateSuite
   with SecretsTestsSuite with PythonTestsSuite with ClientModeTestsSuite with PodTemplateSuite
-  with PVTestsSuite with DepsTestsSuite with DecommissionSuite with RTestsSuite with Logging
-  with Eventually with Matchers {
+  with VolumeSuite with PVTestsSuite with DepsTestsSuite with DecommissionSuite with RTestsSuite
+  with Logging with Eventually with Matchers {
 
 
   import KubernetesSuite._
diff --git a/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolumeSuite.scala b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolumeSuite.scala
new file mode 100644
index 0000000000000..c57e4b4578d6c
--- /dev/null
+++ b/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/VolumeSuite.scala
@@ -0,0 +1,173 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.deploy.k8s.integrationtest
+
+import scala.jdk.CollectionConverters._
+
+import io.fabric8.kubernetes.api.model._
+import org.scalatest.concurrent.PatienceConfiguration
+import org.scalatest.time.{Seconds, Span}
+
+import org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite._
+import org.apache.spark.deploy.k8s.integrationtest.backend.minikube.MinikubeTestBackend
+
+private[spark] trait VolumeSuite { k8sSuite: KubernetesSuite =>
+  val IGNORE = Some((Some(PatienceConfiguration.Interval(Span(0, Seconds))), None))
+
+  private def checkDisk(pod: Pod, path: String, expected: String) = {
+    eventually(PatienceConfiguration.Timeout(Span(10, Seconds)), INTERVAL) {
+      implicit val podName: String = pod.getMetadata.getName
+      implicit val components: KubernetesTestComponents = kubernetesTestComponents
+      assert(Utils.executeCommand("df", path).contains(expected))
+    }
+  }
+
+  test("A driver-only Spark job with a tmpfs-backed localDir volume", k8sTestTag) {
+    sparkAppConf
+      .set("spark.kubernetes.driver.master", "local[10]")
+      .set("spark.kubernetes.local.dirs.tmpfs", "true")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("local[10]", "Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      driverPodChecker = (driverPod: Pod) => {
+        doBasicDriverPodCheck(driverPod)
+        val path = driverPod.getSpec.getContainers.get(0).getEnv.asScala
+          .filter(_.getName == "SPARK_LOCAL_DIRS").map(_.getValue).head
+        checkDisk(driverPod, path, "tmpfs")
+      },
+      _ => (),
+      isJVM = true,
+      executorPatience = IGNORE)
+  }
+
+  test("A driver-only Spark job with a tmpfs-backed emptyDir data volume", k8sTestTag) {
+    sparkAppConf
+      .set("spark.kubernetes.driver.master", "local[10]")
+      .set("spark.kubernetes.driver.volumes.emptyDir.data.mount.path", "/data")
+      .set("spark.kubernetes.driver.volumes.emptyDir.data.options.medium", "Memory")
+      .set("spark.kubernetes.driver.volumes.emptyDir.data.options.sizeLimit", "1G")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("local[10]", "Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      driverPodChecker = (driverPod: Pod) => {
+        doBasicDriverPodCheck(driverPod)
+        checkDisk(driverPod, "/data", "tmpfs")
+      },
+      _ => (),
+      isJVM = true,
+      executorPatience = IGNORE)
+  }
+
+  test("A driver-only Spark job with a disk-backed emptyDir volume", k8sTestTag) {
+    sparkAppConf
+      .set("spark.kubernetes.driver.master", "local[10]")
+      .set("spark.kubernetes.driver.volumes.emptyDir.data.mount.path", "/data")
+      .set("spark.kubernetes.driver.volumes.emptyDir.data.mount.sizeLimit", "1G")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("local[10]", "Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      driverPodChecker = (driverPod: Pod) => {
+        doBasicDriverPodCheck(driverPod)
+        checkDisk(driverPod, "/data", "/dev/")
+      },
+      _ => (),
+      isJVM = true,
+      executorPatience = IGNORE)
+  }
+
+  test("A driver-only Spark job with an OnDemand PVC volume", k8sTestTag) {
+    val storageClassName = if (testBackend == MinikubeTestBackend) "standard" else "hostpath"
+    val DRIVER_PREFIX = "spark.kubernetes.driver.volumes.persistentVolumeClaim"
+    sparkAppConf
+      .set("spark.kubernetes.driver.master", "local[10]")
+      .set(s"$DRIVER_PREFIX.data.options.claimName", "OnDemand")
+      .set(s"$DRIVER_PREFIX.data.options.storageClass", storageClassName)
+      .set(s"$DRIVER_PREFIX.data.options.sizeLimit", "1Gi")
+      .set(s"$DRIVER_PREFIX.data.mount.path", "/data")
+      .set(s"$DRIVER_PREFIX.data.mount.readOnly", "false")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("local[10]", "Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      driverPodChecker = (driverPod: Pod) => {
+        doBasicDriverPodCheck(driverPod)
+        checkDisk(driverPod, "/data", "/dev/")
+      },
+      _ => (),
+      isJVM = true,
+      executorPatience = IGNORE)
+  }
+
+  test("A Spark job with tmpfs-backed localDir volumes", k8sTestTag) {
+    sparkAppConf
+      .set("spark.kubernetes.local.dirs.tmpfs", "true")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      driverPodChecker = (driverPod: Pod) => {
+        doBasicDriverPodCheck(driverPod)
+        val path = driverPod.getSpec.getContainers.get(0).getEnv.asScala
+          .filter(_.getName == "SPARK_LOCAL_DIRS").map(_.getValue).head
+        checkDisk(driverPod, path, "tmpfs")
+      },
+      executorPodChecker = (executorPod: Pod) => {
+        doBasicExecutorPodCheck(executorPod)
+        val path = executorPod.getSpec.getContainers.get(0).getEnv.asScala
+          .filter(_.getName == "SPARK_LOCAL_DIRS").map(_.getValue).head
+        checkDisk(executorPod, path, "tmpfs")
+      },
+      isJVM = true)
+  }
+
+  test("A Spark job with two executors with OnDemand PVC volumes", k8sTestTag) {
+    val storageClassName = if (testBackend == MinikubeTestBackend) "standard" else "hostpath"
+    val EXECUTOR_PREFIX = "spark.kubernetes.executor.volumes.persistentVolumeClaim"
+    sparkAppConf
+      .set("spark.executor.instances", "2")
+      .set(s"$EXECUTOR_PREFIX.data.options.claimName", "OnDemand")
+      .set(s"$EXECUTOR_PREFIX.data.options.storageClass", storageClassName)
+      .set(s"$EXECUTOR_PREFIX.data.options.sizeLimit", "1Gi")
+      .set(s"$EXECUTOR_PREFIX.data.mount.path", "/data")
+      .set(s"$EXECUTOR_PREFIX.data.mount.readOnly", "false")
+    runSparkApplicationAndVerifyCompletion(
+      containerLocalSparkDistroExamplesJar,
+      SPARK_PI_MAIN_CLASS,
+      Seq("Pi is roughly 3"),
+      Seq(),
+      Array.empty[String],
+      _ => (),
+      executorPodChecker = (executorPod: Pod) => {
+        doBasicExecutorPodCheck(executorPod)
+        checkDisk(executorPod, "/data", "/dev/")
+      },
+      isJVM = true)
+  }
+}

From 68d9f353300ed7de0b47c26cb30236bada896d25 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Mon, 22 Jan 2024 11:09:01 -0800
Subject: [PATCH 557/986] [SPARK-46779][SQL] `InMemoryRelation` instances of
 the same cached plan should be semantically equivalent

When canonicalizing `output` in `InMemoryRelation`, use `output` itself as the schema for determining the ordinals, rather than `cachedPlan.output`.

`InMemoryRelation.output` and `InMemoryRelation.cachedPlan.output` don't necessarily use the same exprIds. E.g.:
```
+- InMemoryRelation [c1#340, c2#341], StorageLevel(disk, memory, deserialized, 1 replicas)
      +- LocalTableScan [c1#254, c2#255]

```
Because of this, `InMemoryRelation` will sometimes fail to fully canonicalize, resulting in cases where two semantically equivalent `InMemoryRelation` instances appear to be semantically nonequivalent.

Example:
```
create or replace temp view data(c1, c2) as values
(1, 2),
(1, 3),
(3, 7),
(4, 5);

cache table data;

select c1, (select count(*) from data d1 where d1.c1 = d2.c1), count(c2) from data d2 group by all;
```
If plan change validation checking is on (i.e., `spark.sql.planChangeValidation=true`), the failure is:
```
[PLAN_VALIDATION_FAILED_RULE_EXECUTOR] The input plan of org.apache.spark.sql.internal.BaseSessionStateBuilder$$anon$2 is invalid: Aggregate: Aggregate [c1#78, scalar-subquery#77 [c1#78]], [c1#78, scalar-subquery#77 [c1#78] AS scalarsubquery(c1)#90L, count(c2#79) AS count(c2)#83L]
...
is not a valid aggregate expression: [SCALAR_SUBQUERY_IS_IN_GROUP_BY_OR_AGGREGATE_FUNCTION] The correlated scalar subquery '"scalarsubquery(c1)"' is neither present in GROUP BY, nor in an aggregate function.
```
If plan change validation checking is off, the failure is more mysterious:
```
[INTERNAL_ERROR] Couldn't find count(1)#163L in [c1#78,_groupingexpression#149L,count(1)#82L] SQLSTATE: XX000
org.apache.spark.SparkException: [INTERNAL_ERROR] Couldn't find count(1)#163L in [c1#78,_groupingexpression#149L,count(1)#82L] SQLSTATE: XX000
```
If you remove the cache command, the query succeeds.

The above failures happen because the subquery in the aggregate expressions and the subquery in the grouping expressions seem semantically nonequivalent since the `InMemoryRelation` in one of the subquery plans failed to completely canonicalize.

In `CacheManager#useCachedData`, two lookups for the same cached plan may create `InMemoryRelation` instances that have different exprIds in `output`. That's because the plan fragments used as lookup keys  may have been deduplicated by `DeduplicateRelations`, and thus have different exprIds in their respective output schemas. When `CacheManager#useCachedData` creates an `InMemoryRelation` instance, it borrows the output schema of the plan fragment used as the lookup key.

The failure to fully canonicalize has other effects. For example, this query fails to reuse the exchange:
```
create or replace temp view data(c1, c2) as values
(1, 2),
(1, 3),
(2, 4),
(3, 7),
(7, 22);

cache table data;

set spark.sql.autoBroadcastJoinThreshold=-1;
set spark.sql.adaptive.enabled=false;

select *
from data l
join data r
on l.c1 = r.c1;
```

No.

New tests.

No.

Closes #44806 from bersprockets/plan_validation_issue.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit b80e8cb4552268b771fc099457b9186807081c4a)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/execution/columnar/InMemoryRelation.scala |  2 +-
 .../spark/sql/DataFrameAggregateSuite.scala       | 15 +++++++++++++++
 .../columnar/InMemoryRelationSuite.scala          |  7 +++++++
 3 files changed, 23 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
index 65f7835b42cf8..5bab8e53eb163 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
@@ -405,7 +405,7 @@ case class InMemoryRelation(
   }
 
   override def doCanonicalize(): logical.LogicalPlan =
-    copy(output = output.map(QueryPlan.normalizeExpressions(_, cachedPlan.output)),
+    copy(output = output.map(QueryPlan.normalizeExpressions(_, output)),
       cacheBuilder,
       outputOrdering)
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index d78771a8f19bc..631fcd8c0d87d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -2102,6 +2102,21 @@ class DataFrameAggregateSuite extends QueryTest
       Seq(Row(1))
     )
   }
+
+  test("SPARK-46779: Group by subquery with a cached relation") {
+    withTempView("data") {
+      sql(
+        """create or replace temp view data(c1, c2) as values
+          |(1, 2),
+          |(1, 3),
+          |(3, 7)""".stripMargin)
+      sql("cache table data")
+      val df = sql(
+        """select c1, (select count(*) from data d1 where d1.c1 = d2.c1), count(c2)
+          |from data d2 group by all""".stripMargin)
+      checkAnswer(df, Row(1, 2, 2) :: Row(3, 1, 1) :: Nil)
+    }
+  }
 }
 
 case class B(c: Option[Double])
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
index 72b3a4bc1095a..a5c5ec40af6fe 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
@@ -34,4 +34,11 @@ class InMemoryRelationSuite extends SparkFunSuite with SharedSparkSessionBase {
     assert(!relationCachedPlan.eq(clonedCachedPlan))
     assert(relationCachedPlan === clonedCachedPlan)
   }
+
+  test("SPARK-46779: InMemoryRelations with the same cached plan are semantically equivalent") {
+    val d = spark.range(1)
+    val r1 = InMemoryRelation(StorageLevel.MEMORY_ONLY, d.queryExecution, None)
+    val r2 = r1.withOutput(r1.output.map(_.newInstance()))
+    assert(r1.sameResult(r2))
+  }
 }

From a6869b25fb9a7ac0e7e5015d342435e5c1b5f044 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 22 Jan 2024 17:06:59 -0800
Subject: [PATCH 558/986] [SPARK-46801][PYTHON][TESTS] Do not treat exit code 5
 as a test failure in Python testing script

### What changes were proposed in this pull request?

This PR proposes to avoid treating the exit code 5 as a test failure in Python testing script.

### Why are the changes needed?

```
...
========================================================================
Running PySpark tests
========================================================================
Running PySpark tests. Output is in /__w/spark/spark/python/unit-tests.log
Will test against the following Python executables: ['python3.12']
Will test the following Python modules: ['pyspark-core', 'pyspark-streaming', 'pyspark-errors']
python3.12 python_implementation is CPython
python3.12 version is: Python 3.12.1
Starting test(python3.12): pyspark.streaming.tests.test_context (temp output: /__w/spark/spark/python/target/8674ed86-36bd-47d1-863b-abb0405557f6/python3.12__pyspark.streaming.tests.test_context__umu69c3v.log)
Finished test(python3.12): pyspark.streaming.tests.test_context (12s)
Starting test(python3.12): pyspark.streaming.tests.test_dstream (temp output: /__w/spark/spark/python/target/847eb56b-3c5f-49ab-8a83-3326bb96bc5d/python3.12__pyspark.streaming.tests.test_dstream__rorhk0lc.log)
Finished test(python3.12): pyspark.streaming.tests.test_dstream (102s)
Starting test(python3.12): pyspark.streaming.tests.test_kinesis (temp output: /__w/spark/spark/python/target/78f23c83-c24d-4fa1-abbd-edb90f48dff1/python3.12__pyspark.streaming.tests.test_kinesis__q5l1pv0h.log)
test_kinesis_stream (pyspark.streaming.tests.test_kinesis.KinesisStreamTests.test_kinesis_stream) ... skipped "Skipping all Kinesis Python tests as environmental variable 'ENABLE_KINESIS_TESTS' was not set."
test_kinesis_stream_api (pyspark.streaming.tests.test_kinesis.KinesisStreamTests.test_kinesis_stream_api) ... skipped "Skipping all Kinesis Python tests as environmental variable 'ENABLE_KINESIS_TESTS' was not set."

----------------------------------------------------------------------
Ran 0 tests in 0.000s

NO TESTS RAN (skipped=2)

Had test failures in pyspark.streaming.tests.test_kinesis with python3.12; see logs.
Error:  running /__w/spark/spark/python/run-tests --modules=pyspark-core,pyspark-streaming,pyspark-errors --parallelism=1 --python-executables=python3.12 ; received return code 255
Error: Process completed with exit code 19.
```

Scheduled job fails because of exit 5, see https://github.com/pytest-dev/pytest/issues/2393. This isn't a test failure.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Manually tested.

### Was this patch authored or co-authored using generative AI tooling?

No,

Closes #44841 from HyukjinKwon/SPARK-46801.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 52b62921cadb05da5b1183f979edf7d608256f2e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/run-tests.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/run-tests.py b/python/run-tests.py
index 19e39c822cbb4..b9031765d9437 100755
--- a/python/run-tests.py
+++ b/python/run-tests.py
@@ -147,8 +147,8 @@ def run_individual_python_test(target_dir, test_name, pyspark_python, keep_test_
         # this code is invoked from a thread other than the main thread.
         os._exit(1)
     duration = time.time() - start_time
-    # Exit on the first failure.
-    if retcode != 0:
+    # Exit on the first failure but exclude the code 5 for no test ran, see SPARK-46801.
+    if retcode != 0 and retcode != 5:
         try:
             with FAILURE_REPORTING_LOCK:
                 with open(LOG_FILE, 'ab') as log_file:

From 6403a84b6854214a4ed7d5c0c800e877e0748964 Mon Sep 17 00:00:00 2001
From: jackylee-ch <lijunqing@baidu.com>
Date: Tue, 23 Jan 2024 16:10:37 +0800
Subject: [PATCH 559/986] [SPARK-46590][SQL] Fix coalesce failed with
 unexpected partition indeces

### What changes were proposed in this pull request?
As outlined in JIRA issue [SPARK-46590](https://issues.apache.org/jira/browse/SPARK-46590), when a broadcast join follows a union within the same stage, the [collectCoalesceGroups](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala#L144) method will indiscriminately traverse all sub-plans, aggregating them into a single group, which is not expected.

### Why are the changes needed?
In fact, for broadcastjoin, we do not expect broadcast exchange has same partition number. Therefore, we can safely disregard the broadcast join and continue traversing the subplan.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Newly added unit test. It would fail without this pr.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44661 from jackylee-ch/fix_coalesce_problem_with_broadcastjoin_and_union.

Authored-by: jackylee-ch <lijunqing@baidu.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit de0c4ad3947f1188f02aaa612df8278d1c7c3ce5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../adaptive/CoalesceShufflePartitions.scala  | 10 ++-
 .../adaptive/ShufflePartitionsUtil.scala      |  6 +-
 .../CoalesceShufflePartitionsSuite.scala      | 61 +++++++++++++++++++
 .../ShufflePartitionsUtilSuite.scala          | 31 +++++-----
 4 files changed, 86 insertions(+), 22 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
index 34399001c726f..26e5ac649dbb1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.plans.physical.SinglePartition
 import org.apache.spark.sql.execution.{ShufflePartitionSpec, SparkPlan, UnaryExecNode, UnionExec}
 import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS, REBALANCE_PARTITIONS_BY_COL, REBALANCE_PARTITIONS_BY_NONE, REPARTITION_BY_COL, ShuffleExchangeLike, ShuffleOrigin}
+import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNestedLoopJoinExec, CartesianProductExec}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.util.Utils
 
@@ -146,13 +147,16 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
       Seq(collectShuffleStageInfos(r))
     case unary: UnaryExecNode => collectCoalesceGroups(unary.child)
     case union: UnionExec => union.children.flatMap(collectCoalesceGroups)
-    // If not all leaf nodes are exchange query stages, it's not safe to reduce the number of
-    // shuffle partitions, because we may break the assumption that all children of a spark plan
-    // have same number of output partitions.
+    case join: CartesianProductExec => join.children.flatMap(collectCoalesceGroups)
     // Note that, `BroadcastQueryStageExec` is a valid case:
     // If a join has been optimized from shuffled join to broadcast join, then the one side is
     // `BroadcastQueryStageExec` and other side is `ShuffleQueryStageExec`. It can coalesce the
     // shuffle side as we do not expect broadcast exchange has same partition number.
+    case join: BroadcastHashJoinExec => join.children.flatMap(collectCoalesceGroups)
+    case join: BroadcastNestedLoopJoinExec => join.children.flatMap(collectCoalesceGroups)
+    // If not all leaf nodes are exchange query stages, it's not safe to reduce the number of
+    // shuffle partitions, because we may break the assumption that all children of a spark plan
+    // have same number of output partitions.
     case p if p.collectLeaves().forall(_.isInstanceOf[ExchangeQueryStageExec]) =>
       val shuffleStages = collectShuffleStageInfos(p)
       // ShuffleExchanges introduced by repartition do not support partition number change.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/ShufflePartitionsUtil.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/ShufflePartitionsUtil.scala
index dbed66683b017..9370b3d8d1d74 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/ShufflePartitionsUtil.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/ShufflePartitionsUtil.scala
@@ -128,8 +128,10 @@ object ShufflePartitionsUtil extends Logging {
 
     // There should be no unexpected partition specs and the start indices should be identical
     // across all different shuffles.
-    assert(partitionIndicesSeq.distinct.length == 1 && partitionIndicesSeq.head.forall(_ >= 0),
-      s"Invalid shuffle partition specs: $inputPartitionSpecs")
+    if (partitionIndicesSeq.distinct.length > 1 || partitionIndicesSeq.head.exists(_ < 0)) {
+      logWarning(s"Could not apply partition coalescing because of unexpected partition indices.")
+      return Seq.empty
+    }
 
     // The indices may look like [0, 1, 2, 2, 2, 3, 4, 4, 5], and the repeated `2` and `4` mean
     // skewed partitions.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/CoalesceShufflePartitionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/CoalesceShufflePartitionsSuite.scala
index 24a98dd83f33a..e11191da6a952 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/CoalesceShufflePartitionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/CoalesceShufflePartitionsSuite.scala
@@ -310,6 +310,67 @@ class CoalesceShufflePartitionsSuite extends SparkFunSuite {
     }
   }
 
+  test("SPARK-46590 adaptive query execution works correctly with broadcast join and union") {
+    val test: SparkSession => Unit = { spark: SparkSession =>
+      import spark.implicits._
+      spark.conf.set(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key, "1KB")
+      spark.conf.set(SQLConf.SKEW_JOIN_SKEWED_PARTITION_THRESHOLD.key, "10KB")
+      spark.conf.set(SQLConf.SKEW_JOIN_SKEWED_PARTITION_FACTOR, 2.0)
+      val df00 = spark.range(0, 1000, 2)
+        .selectExpr("id as key", "id as value")
+        .union(Seq.fill(100000)((600, 600)).toDF("key", "value"))
+      val df01 = spark.range(0, 1000, 3)
+        .selectExpr("id as key", "id as value")
+      val df10 = spark.range(0, 1000, 5)
+        .selectExpr("id as key", "id as value")
+        .union(Seq.fill(500000)((600, 600)).toDF("key", "value"))
+      val df11 = spark.range(0, 1000, 7)
+        .selectExpr("id as key", "id as value")
+      val df20 = spark.range(0, 10).selectExpr("id as key", "id as value")
+
+      df20.join(df00.join(df01, Array("key", "value"), "left_outer")
+        .union(df10.join(df11, Array("key", "value"), "left_outer")))
+        .write
+        .format("noop")
+        .mode("overwrite")
+        .save()
+    }
+    withSparkSession(test, 12000, None)
+  }
+
+  test("SPARK-46590 adaptive query execution works correctly with cartesian join and union") {
+    val test: SparkSession => Unit = { spark: SparkSession =>
+      import spark.implicits._
+      spark.conf.set(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key, "-1")
+      spark.conf.set(SQLConf.SKEW_JOIN_SKEWED_PARTITION_THRESHOLD.key, "100B")
+      spark.conf.set(SQLConf.SKEW_JOIN_SKEWED_PARTITION_FACTOR, 2.0)
+      val df00 = spark.range(0, 10, 2)
+        .selectExpr("id as key", "id as value")
+        .union(Seq.fill(1000)((600, 600)).toDF("key", "value"))
+      val df01 = spark.range(0, 10, 3)
+        .selectExpr("id as key", "id as value")
+      val df10 = spark.range(0, 10, 5)
+        .selectExpr("id as key", "id as value")
+        .union(Seq.fill(5000)((600, 600)).toDF("key", "value"))
+      val df11 = spark.range(0, 10, 7)
+        .selectExpr("id as key", "id as value")
+      val df20 = spark.range(0, 10)
+        .selectExpr("id as key", "id as value")
+        .union(Seq.fill(1000)((11, 11)).toDF("key", "value"))
+      val df21 = spark.range(0, 10)
+        .selectExpr("id as key", "id as value")
+
+      df20.join(df21.hint("shuffle_hash"), Array("key", "value"), "left_outer")
+        .join(df00.join(df01.hint("shuffle_hash"), Array("key", "value"), "left_outer")
+          .union(df10.join(df11.hint("shuffle_hash"), Array("key", "value"), "left_outer")))
+        .write
+        .format("noop")
+        .mode("overwrite")
+        .save()
+    }
+    withSparkSession(test, 100, None)
+  }
+
   test("SPARK-24705 adaptive query execution works correctly when exchange reuse enabled") {
     val test: SparkSession => Unit = { spark: SparkSession =>
       spark.sql("SET spark.sql.exchange.reuse=true")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ShufflePartitionsUtilSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ShufflePartitionsUtilSuite.scala
index da05373125d31..f8b7964368476 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/ShufflePartitionsUtilSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ShufflePartitionsUtilSuite.scala
@@ -567,14 +567,13 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
     }
 
     {
-      // Assertion error if shuffle partition specs contain `CoalescedShuffleSpec` that has
-      // `end` - `start` > 1.
+      // If shuffle partition specs contain `CoalescedShuffleSpec` that has
+      // `end` - `start` > 1, return empty result.
       val bytesByPartitionId1 = Array[Long](10, 10, 10, 10, 10)
       val bytesByPartitionId2 = Array[Long](10, 10, 10, 10, 10)
       val specs1 = Seq(CoalescedPartitionSpec(0, 1), CoalescedPartitionSpec(1, 5))
       val specs2 = specs1
-      intercept[AssertionError] {
-        ShufflePartitionsUtil.coalescePartitions(
+      val coalesced = ShufflePartitionsUtil.coalescePartitions(
           Array(
             Some(new MapOutputStatistics(0, bytesByPartitionId1)),
             Some(new MapOutputStatistics(1, bytesByPartitionId2))),
@@ -582,17 +581,16 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
             Some(specs1),
             Some(specs2)),
           targetSize, 1, 0)
-      }
+      assert(coalesced.isEmpty)
     }
 
     {
-      // Assertion error if shuffle partition specs contain `PartialMapperShuffleSpec`.
+      // If shuffle partition specs contain `PartialMapperShuffleSpec`, return empty result.
       val bytesByPartitionId1 = Array[Long](10, 10, 10, 10, 10)
       val bytesByPartitionId2 = Array[Long](10, 10, 10, 10, 10)
       val specs1 = Seq(CoalescedPartitionSpec(0, 1), PartialMapperPartitionSpec(1, 0, 1))
       val specs2 = specs1
-      intercept[AssertionError] {
-        ShufflePartitionsUtil.coalescePartitions(
+      val coalesced = ShufflePartitionsUtil.coalescePartitions(
           Array(
             Some(new MapOutputStatistics(0, bytesByPartitionId1)),
             Some(new MapOutputStatistics(1, bytesByPartitionId2))),
@@ -600,18 +598,17 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
             Some(specs1),
             Some(specs2)),
           targetSize, 1, 0)
-      }
+      assert(coalesced.isEmpty)
     }
 
     {
-      // Assertion error if partition specs of different shuffles have different lengths.
+      // If partition specs of different shuffles have different lengths, return empty result.
       val bytesByPartitionId1 = Array[Long](10, 10, 10, 10, 10)
       val bytesByPartitionId2 = Array[Long](10, 10, 10, 10, 10)
       val specs1 = Seq.tabulate(4)(i => CoalescedPartitionSpec(i, i + 1)) ++
         Seq.tabulate(2)(i => PartialReducerPartitionSpec(4, i, i + 1, 10L))
       val specs2 = Seq.tabulate(5)(i => CoalescedPartitionSpec(i, i + 1))
-      intercept[AssertionError] {
-        ShufflePartitionsUtil.coalescePartitions(
+      val coalesced = ShufflePartitionsUtil.coalescePartitions(
           Array(
             Some(new MapOutputStatistics(0, bytesByPartitionId1)),
             Some(new MapOutputStatistics(1, bytesByPartitionId2))),
@@ -619,11 +616,12 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
             Some(specs1),
             Some(specs2)),
           targetSize, 1, 0)
-      }
+      assert(coalesced.isEmpty)
     }
 
     {
-      // Assertion error if start indices of partition specs are not identical among all shuffles.
+      // If start indices of partition specs are not identical among all shuffles,
+      // return empty result.
       val bytesByPartitionId1 = Array[Long](10, 10, 10, 10, 10)
       val bytesByPartitionId2 = Array[Long](10, 10, 10, 10, 10)
       val specs1 = Seq.tabulate(4)(i => CoalescedPartitionSpec(i, i + 1)) ++
@@ -631,8 +629,7 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
       val specs2 = Seq.tabulate(2)(i => CoalescedPartitionSpec(i, i + 1)) ++
         Seq.tabulate(2)(i => PartialReducerPartitionSpec(2, i, i + 1, 10L)) ++
         Seq.tabulate(2)(i => CoalescedPartitionSpec(i + 3, i + 4))
-      intercept[AssertionError] {
-        ShufflePartitionsUtil.coalescePartitions(
+      val coalesced = ShufflePartitionsUtil.coalescePartitions(
           Array(
             Some(new MapOutputStatistics(0, bytesByPartitionId1)),
             Some(new MapOutputStatistics(1, bytesByPartitionId2))),
@@ -640,7 +637,7 @@ class ShufflePartitionsUtilSuite extends SparkFunSuite with LocalSparkContext {
             Some(specs1),
             Some(specs2)),
           targetSize, 1, 0)
-      }
+      assert(coalesced.isEmpty)
     }
 
     {

From a559ff7bb9d3c34429f80760741f1bbd40696f32 Mon Sep 17 00:00:00 2001
From: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Date: Tue, 23 Jan 2024 17:15:30 +0800
Subject: [PATCH 560/986] [SPARK-46763] Fix assertion failure in
 ReplaceDeduplicateWithAggregate for duplicate attributes

### What changes were proposed in this pull request?

- Updated the `ReplaceDeduplicateWithAggregate` implementation to reuse aliases generated for an attribute.
- Added a unit test to ensure scenarios with duplicate non-grouping keys are correctly optimized.

### Why are the changes needed?

- `ReplaceDeduplicateWithAggregate` replaces `Deduplicate` with an `Aggregate` operator with grouping expressions for the deduplication keys and aggregate expressions for the non-grouping keys (to preserve the output schema and keep the non-grouping columns).
- For non-grouping key `a#X`, it generates an aggregate expression of the form `first(a#X, false) AS a#Y`
- In case the non-grouping keys have a repeated attribute (with the same name and exprId), the existing logic would generate two different aggregate expressions both having two different exprId.
- This then leads to duplicate rewrite attributes error (in `transformUpWithNewOutput`) when transforming the remaining tree.

- For example, for the query
```
Project [a#0, b#1]
+- Deduplicate [b#1]
   +- Project [a#0, a#0, b#1]
      +- LocalRelation <empty>, [a#0, b#1]
```
the existing logic would transform it to
```
Project [a#3, b#1]
+- Aggregate [b#1], [first(a#0, false) AS a#3, first(a#0, false) AS a#5, b#1]
   +- Project [a#0, a#0, b#1]
      +- LocalRelation <empty>, [a#0, b#1]
```
with the aggregate mapping having two entries `a#0 -> a#3, a#0 -> a#5`.

The correct transformation would be
```
Project [a#3, b#1]
+- Aggregate [b#1], [first(a#0, false) AS a#3, first(a#0, false) AS a#3, b#1]
   +- Project [a#0, a#0, b#1]
      +- LocalRelation <empty>, [a#0, b#1]
```
with the aggregate mapping having only one entry `a#0 -> a#3`.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added a unit test in `ResolveOperatorSuite`.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #44835 from nikhilsheoran-db/SPARK-46763.

Authored-by: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 715b43428913d6a631f8f9043baac751b88cb5d4)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    |  6 +++-
 .../optimizer/ReplaceOperatorSuite.scala      | 31 +++++++++++++++++++
 2 files changed, 36 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index df17840d567e0..04d3eb962ed44 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -2195,11 +2195,15 @@ object ReplaceDeduplicateWithAggregate extends Rule[LogicalPlan] {
   def apply(plan: LogicalPlan): LogicalPlan = plan transformUpWithNewOutput {
     case d @ Deduplicate(keys, child) if !child.isStreaming =>
       val keyExprIds = keys.map(_.exprId)
+      val generatedAliasesMap = new mutable.HashMap[Attribute, Alias]();
       val aggCols = child.output.map { attr =>
         if (keyExprIds.contains(attr.exprId)) {
           attr
         } else {
-          Alias(new First(attr).toAggregateExpression(), attr.name)()
+          // Keep track of the generated aliases to avoid generating multiple aliases
+          // for the same attribute (in case the attribute is duplicated)
+          generatedAliasesMap.getOrElseUpdate(attr,
+            Alias(new First(attr).toAggregateExpression(), attr.name)())
         }
       }
       // SPARK-22951: Physical aggregate operators distinguishes global aggregation and grouping
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
index 5d81e96a8e583..cb9577e050d04 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceOperatorSuite.scala
@@ -265,4 +265,35 @@ class ReplaceOperatorSuite extends PlanTest {
       Join(basePlan, otherPlan, LeftAnti, Option(condition), JoinHint.NONE)).analyze
     comparePlans(result, correctAnswer)
   }
+
+  test("SPARK-46763: ReplaceDeduplicateWithAggregate non-grouping keys with duplicate attributes") {
+    val a = $"a".int
+    val b = $"b".int
+    val first_a = Alias(new First(a).toAggregateExpression(), a.name)()
+
+    val query = Project(
+      projectList = Seq(a, b),
+      Deduplicate(
+        keys = Seq(b),
+        child = Project(
+          projectList = Seq(a, a, b),
+          child = LocalRelation(Seq(a, b))
+        )
+      )
+    ).analyze
+
+    val result = Optimize.execute(query)
+    val correctAnswer = Project(
+        projectList = Seq(first_a.toAttribute, b),
+        Aggregate(
+            Seq(b),
+            Seq(first_a, first_a, b),
+            Project(
+              projectList = Seq(a, a, b),
+              child = LocalRelation(Seq(a, b))
+            )
+        )
+    ).analyze
+    comparePlans(result, correctAnswer)
+  }
 }

From 20da7c0f3c44b1b435171058da36d8cd59391ba8 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 23 Jan 2024 17:35:59 +0800
Subject: [PATCH 561/986] Revert "[SPARK-46417][SQL] Do not fail when calling
 hive.getTable and throwException is false"

This reverts commit 8abf9583ac2303765255299af3e843d8248f313f.
---
 .../scala/org/apache/spark/sql/hive/client/HiveShim.scala | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
index 7025e09ae9d9e..60ff9ec42f29d 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala
@@ -620,13 +620,7 @@ private[client] class Shim_v0_12 extends Shim with Logging {
       tableName: String,
       throwException: Boolean): Table = {
     recordHiveCall()
-    val table = try {
-      hive.getTable(dbName, tableName, throwException)
-    } catch {
-      // Hive may have bugs and still throw an exception even if `throwException` is false.
-      case e: HiveException if !throwException =>
-        null
-    }
+    val table = hive.getTable(dbName, tableName, throwException)
     if (table != null) {
       table.getTTable.setTableName(tableName)
       table.getTTable.setDbName(dbName)

From 05f7aa596c7b1c05704abfad94b1b1d3085c530e Mon Sep 17 00:00:00 2001
From: Tom van Bussel <tom.vanbussel@databricks.com>
Date: Tue, 23 Jan 2024 08:45:32 -0800
Subject: [PATCH 562/986] [SPARK-46794][SQL] Remove subqueries from LogicalRDD
 constraints

This PR modifies `LogicalRDD` to filter out all subqueries from its `constraints`.

Fixes a correctness bug. Spark can produce incorrect results when using a checkpointed `DataFrame` with a filter containing a scalar subquery. This subquery is included in the constraints of the resulting `LogicalRDD`, and may then be propagated as a filter when joining with the checkpointed `DataFrame`. This causes the subquery to be evaluated twice: once during checkpointing and once while evaluating the query. These two subquery evaluations may return different results, e.g. when the subquery contains a limit with an underspecified sort order.

No

Added a test to `DataFrameSuite`.

No

Closes #44833 from tomvanbussel/SPARK-46794.

Authored-by: Tom van Bussel <tom.vanbussel@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit d26e871136e0c6e1f84a25978319733a516b7b2e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/execution/ExistingRDD.scala |  7 +++++++
 .../org/apache/spark/sql/DataFrameSuite.scala    | 16 +++++++++++++++-
 2 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
index 3dcf0efaadd8f..3b49abcb1a866 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
@@ -150,6 +150,13 @@ case class LogicalRDD(
   }
 
   override lazy val constraints: ExpressionSet = originConstraints.getOrElse(ExpressionSet())
+    // Subqueries can have non-deterministic results even when they only contain deterministic
+    // expressions (e.g. consider a LIMIT 1 subquery without an ORDER BY). Propagating predicates
+    // containing a subquery causes the subquery to be executed twice (as the result of the subquery
+    // in the checkpoint computation cannot be reused), which could result in incorrect results.
+    // Therefore we assume that all subqueries are non-deterministic, and we do not expose any
+    // constraints that contain a subquery.
+    .filterNot(SubqueryExpression.hasSubquery)
 }
 
 object LogicalRDD extends Logging {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 2eba9f1810982..002719f06896d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -35,7 +35,7 @@ import org.apache.spark.scheduler.{SparkListener, SparkListenerJobEnd}
 import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.MultiInstanceRelation
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
-import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, AttributeReference, EqualTo, ExpressionSet, GreaterThan, Literal, PythonUDF, Uuid}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, AttributeReference, EqualTo, ExpressionSet, GreaterThan, Literal, PythonUDF, ScalarSubquery, Uuid}
 import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.plans.logical.{ColumnStat, LeafNode, LocalRelation, LogicalPlan, OneRowRelation, Statistics}
@@ -2258,6 +2258,20 @@ class DataFrameSuite extends QueryTest
     assert(newConstraints === newExpectedConstraints)
   }
 
+  test("SPARK-46794: exclude subqueries from LogicalRDD constraints") {
+    withTempDir { checkpointDir =>
+      val subquery =
+        new Column(ScalarSubquery(spark.range(10).selectExpr("max(id)").logicalPlan))
+      val df = spark.range(1000).filter($"id" === subquery)
+      assert(df.logicalPlan.constraints.exists(_.exists(_.isInstanceOf[ScalarSubquery])))
+
+      spark.sparkContext.setCheckpointDir(checkpointDir.getAbsolutePath)
+      val checkpointedDf = df.checkpoint()
+      assert(!checkpointedDf.logicalPlan.constraints
+        .exists(_.exists(_.isInstanceOf[ScalarSubquery])))
+    }
+  }
+
   test("SPARK-10656: completely support special chars") {
     val df = Seq(1 -> "a").toDF("i_$.a", "d^'a.")
     checkAnswer(df.select(df("*")), Row(1, "a"))

From be7f1e9979c38b1358b0af2b358bacb0bd523c80 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 23 Jan 2024 16:38:45 -0800
Subject: [PATCH 563/986] [SPARK-46817][CORE] Fix `spark-daemon.sh` usage by
 adding `decommission` command

### What changes were proposed in this pull request?

This PR aims to fix `spark-daemon.sh` usage by adding `decommission` command.

### Why are the changes needed?

This was missed when SPARK-20628 added `decommission` command at Apache Spark 3.1.0. The command has been used like the following.

https://github.com/apache/spark/blob/0356ac00947282b1a0885ad7eaae1e25e43671fe/sbin/decommission-worker.sh#L41

### Does this PR introduce _any_ user-facing change?

No, this is only a change on usage message.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44856 from dongjoon-hyun/SPARK-46817.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 00a92d328576c39b04cfd0fdd8a30c5a9bc37e36)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 sbin/spark-daemon.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sbin/spark-daemon.sh b/sbin/spark-daemon.sh
index 3cfd5acfe2b56..28d205f03e0fa 100755
--- a/sbin/spark-daemon.sh
+++ b/sbin/spark-daemon.sh
@@ -31,7 +31,7 @@
 #   SPARK_NO_DAEMONIZE   If set, will run the proposed command in the foreground. It will not output a PID file.
 ##
 
-usage="Usage: spark-daemon.sh [--config <conf-dir>] (start|stop|submit|status) <spark-command> <spark-instance-number> <args...>"
+usage="Usage: spark-daemon.sh [--config <conf-dir>] (start|stop|submit|decommission|status) <spark-command> <spark-instance-number> <args...>"
 
 # if no args specified, show usage
 if [ $# -le 1 ]; then

From 0956db6901bf03d2d948b23f00bcd6e74a0c251b Mon Sep 17 00:00:00 2001
From: zml1206 <zhuml1206@gmail.com>
Date: Wed, 24 Jan 2024 15:06:55 +0800
Subject: [PATCH 564/986] [SPARK-46590][SQL][FOLLOWUP] Update
 CoalesceShufflePartitions comments

### What changes were proposed in this pull request?
After #44661 ,In addition to Union, children of CartesianProduct, BroadcastHashJoin and BroadcastNestedLoopJoin can also be coalesced independently, update comments.

### Why are the changes needed?
Improve the readability and maintainability.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
N/A

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44854 from zml1206/SPARK-46590-FOLLOWUP.

Authored-by: zml1206 <zhuml1206@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit fe4f8eac3efee42d53f7f24763a59c82ef03d343)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../adaptive/CoalesceShufflePartitions.scala          | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
index 26e5ac649dbb1..db4a6b7dcf2eb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala
@@ -66,9 +66,9 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
       }
     }
 
-    // Sub-plans under the Union operator can be coalesced independently, so we can divide them
-    // into independent "coalesce groups", and all shuffle stages within each group have to be
-    // coalesced together.
+    // Sub-plans under the Union/CartesianProduct/BroadcastHashJoin/BroadcastNestedLoopJoin
+    // operator can be coalesced independently, so we can divide them into independent
+    // "coalesce groups", and all shuffle stages within each group have to be coalesced together.
     val coalesceGroups = collectCoalesceGroups(plan)
 
     // Divide minimum task parallelism among coalesce groups according to their data sizes.
@@ -137,8 +137,9 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   }
 
   /**
-   * Gather all coalesce-able groups such that the shuffle stages in each child of a Union operator
-   * are in their independent groups if:
+   * Gather all coalesce-able groups such that the shuffle stages in each child of a
+   * Union/CartesianProduct/BroadcastHashJoin/BroadcastNestedLoopJoin operator are in their
+   * independent groups if:
    * 1) all leaf nodes of this child are exchange stages; and
    * 2) all these shuffle stages support coalescing.
    */

From ef33b9c50806475f287267c05278aeda3645abac Mon Sep 17 00:00:00 2001
From: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Date: Wed, 24 Jan 2024 21:35:33 +0900
Subject: [PATCH 565/986] [SPARK-46796][SS] Ensure the correct remote files
 (mentioned in metadata.zip) are used on RocksDB version load

This PR ensures that RocksDB loads do not run into SST file Version ID mismatch issue. RocksDB has added validation to ensure exact same SST file is used during database load from snapshot. Current streaming state suffers from certain edge cases where this condition is violated resulting in state load failure.

The changes introduced are:

1. Ensure that the local SST file is exactly the same DFS file (as per mapping in metadata.zip). We keep track of the DFS file path for a local SST file, and re download the SST file in case DFS file has a different UUID in metadata zip.
2. Reset lastSnapshotVersion in RocksDB when Rocks DB is loaded. Changelog checkpoint relies on this version for future snapshots. Currently, if a older version is reloaded we were not uploading snapshots as lastSnapshotVersion was pointing to a higher snapshot of a cleanup database.

We need to ensure that the correct SST files are used on executor during RocksDB load as per mapping in metadata.zip. With current implementation, its possible that the executor uses a SST file (with a different UUID) from a older version which is not the exact file mapped in the metadata.zip. This can cause version Id mismatch errors while loading RocksDB leading to streaming query failures.

See https://issues.apache.org/jira/browse/SPARK-46796 for failure scenarios.

No

Added exhaustive unit testcases covering the scenarios.

No

Closes #44837 from sahnib/SPARK-46796.

Authored-by: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit f25ebe52b9b84ece9b3c5ae30b83eaaef52ec55b)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../execution/streaming/state/RocksDB.scala   |   3 +
 .../streaming/state/RocksDBFileManager.scala  |  92 +++--
 .../streaming/state/RocksDBSuite.scala        | 314 +++++++++++++++++-
 3 files changed, 372 insertions(+), 37 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
index 2398b7780726a..0c9738a6b0817 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
@@ -151,6 +151,8 @@ class RocksDB(
         val metadata = fileManager.loadCheckpointFromDfs(latestSnapshotVersion, workingDir)
         loadedVersion = latestSnapshotVersion
 
+        // reset last snapshot version
+        lastSnapshotVersion = 0L
         openDB()
 
         numKeysOnWritingVersion = if (!conf.trackTotalNumberOfRows) {
@@ -191,6 +193,7 @@ class RocksDB(
    */
   private def replayChangelog(endVersion: Long): Unit = {
     for (v <- loadedVersion + 1 to endVersion) {
+      logInfo(s"replaying changelog from version $loadedVersion -> $endVersion")
       var changelogReader: StateStoreChangelogReader = null
       try {
         changelogReader = fileManager.getChangelogReader(v)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
index faf9cd701aeca..300a3b8137b4c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
@@ -132,6 +132,15 @@ class RocksDBFileManager(
   import RocksDBImmutableFile._
 
   private val versionToRocksDBFiles = new ConcurrentHashMap[Long, Seq[RocksDBImmutableFile]]
+
+
+  // used to keep a mapping of the exact Dfs file that was used to create a local SST file.
+  // The reason this is a separate map because versionToRocksDBFiles can contain multiple similar
+  // SST files to a particular local file (for example 1.sst can map to 1-UUID1.sst in v1 and
+  // 1-UUID2.sst in v2). We need to capture the exact file used to ensure Version ID compatibility
+  // across SST files and RocksDB manifest.
+  private[sql] val localFilesToDfsFiles = new ConcurrentHashMap[String, RocksDBImmutableFile]
+
   private lazy val fm = CheckpointFileManager.create(new Path(dfsRootDir), hadoopConf)
   private val fs = new Path(dfsRootDir).getFileSystem(hadoopConf)
   private val onlyZipFiles = new PathFilter {
@@ -213,6 +222,7 @@ class RocksDBFileManager(
     versionToRocksDBFiles.keySet().removeIf(_ >= version)
     val metadata = if (version == 0) {
       if (localDir.exists) Utils.deleteRecursively(localDir)
+      localFilesToDfsFiles.clear()
       localDir.mkdirs()
       RocksDBCheckpointMetadata(Seq.empty, 0)
     } else {
@@ -449,44 +459,54 @@ class RocksDBFileManager(
     // Get the immutable files used in previous versions, as some of those uploaded files can be
     // reused for this version
     logInfo(s"Saving RocksDB files to DFS for $version")
-    val prevFilesToSizes = versionToRocksDBFiles.asScala.filterKeys(_ < version)
-      .values.flatten.map { f =>
-      f.localFileName -> f
-    }.toMap
 
     var bytesCopied = 0L
     var filesCopied = 0L
     var filesReused = 0L
 
     val immutableFiles = localFiles.map { localFile =>
-      prevFilesToSizes
-        .get(localFile.getName)
-        .filter(_.isSameFile(localFile))
-        .map { reusable =>
-          filesReused += 1
-          reusable
-        }.getOrElse {
-          val localFileName = localFile.getName
-          val dfsFileName = newDFSFileName(localFileName)
-          val dfsFile = dfsFilePath(dfsFileName)
-          // Note: The implementation of copyFromLocalFile() closes the output stream when there is
-          // any exception while copying. So this may generate partial files on DFS. But that is
-          // okay because until the main [version].zip file is written, those partial files are
-          // not going to be used at all. Eventually these files should get cleared.
-          fs.copyFromLocalFile(
-            new Path(localFile.getAbsoluteFile.toURI), dfsFile)
-          val localFileSize = localFile.length()
-          logInfo(s"Copied $localFile to $dfsFile - $localFileSize bytes")
-          filesCopied += 1
-          bytesCopied += localFileSize
-
-          RocksDBImmutableFile(localFile.getName, dfsFileName, localFileSize)
-        }
+      val existingDfsFile = localFilesToDfsFiles.asScala.get(localFile.getName)
+      if (existingDfsFile.isDefined && existingDfsFile.get.sizeBytes == localFile.length()) {
+        val dfsFile = existingDfsFile.get
+        filesReused += 1
+        logInfo(s"reusing file $dfsFile for $localFile")
+        RocksDBImmutableFile(localFile.getName, dfsFile.dfsFileName, dfsFile.sizeBytes)
+      } else {
+        val localFileName = localFile.getName
+        val dfsFileName = newDFSFileName(localFileName)
+        val dfsFile = dfsFilePath(dfsFileName)
+        // Note: The implementation of copyFromLocalFile() closes the output stream when there is
+        // any exception while copying. So this may generate partial files on DFS. But that is
+        // okay because until the main [version].zip file is written, those partial files are
+        // not going to be used at all. Eventually these files should get cleared.
+        fs.copyFromLocalFile(
+          new Path(localFile.getAbsoluteFile.toURI), dfsFile)
+        val localFileSize = localFile.length()
+        logInfo(s"Copied $localFile to $dfsFile - $localFileSize bytes")
+        filesCopied += 1
+        bytesCopied += localFileSize
+
+        val immutableDfsFile = RocksDBImmutableFile(localFile.getName, dfsFileName, localFileSize)
+        localFilesToDfsFiles.put(localFileName, immutableDfsFile)
+
+        immutableDfsFile
+      }
     }
     logInfo(s"Copied $filesCopied files ($bytesCopied bytes) from local to" +
       s" DFS for version $version. $filesReused files reused without copying.")
     versionToRocksDBFiles.put(version, immutableFiles)
 
+    // clean up deleted SST files from the localFilesToDfsFiles Map
+    val currentLocalFiles = localFiles.map(_.getName).toSet
+    val mappingsToClean = localFilesToDfsFiles.asScala
+      .keys
+      .filterNot(currentLocalFiles.contains)
+
+    mappingsToClean.foreach { f =>
+      logInfo(s"cleaning $f from the localFilesToDfsFiles map")
+      localFilesToDfsFiles.remove(f)
+    }
+
     saveCheckpointMetrics = RocksDBFileManagerMetrics(
       bytesCopied = bytesCopied,
       filesCopied = filesCopied,
@@ -506,11 +526,22 @@ class RocksDBFileManager(
     // Delete unnecessary local immutable files
     listRocksDBFiles(localDir)._1
       .foreach { existingFile =>
-        val isSameFile =
-          requiredFileNameToFileDetails.get(existingFile.getName).exists(_.isSameFile(existingFile))
+        val requiredFile = requiredFileNameToFileDetails.get(existingFile.getName)
+        val prevDfsFile = localFilesToDfsFiles.asScala.get(existingFile.getName)
+        val isSameFile = if (requiredFile.isDefined && prevDfsFile.isDefined) {
+          requiredFile.get.dfsFileName == prevDfsFile.get.dfsFileName &&
+            existingFile.length() == requiredFile.get.sizeBytes
+        } else {
+          false
+        }
+
         if (!isSameFile) {
           existingFile.delete()
-          logInfo(s"Deleted local file $existingFile")
+          localFilesToDfsFiles.remove(existingFile.getName)
+          logInfo(s"Deleted local file $existingFile with size ${existingFile.length()} mapped" +
+            s" to previous dfsFile ${prevDfsFile.getOrElse("null")}")
+        } else {
+          logInfo(s"reusing $prevDfsFile present at $existingFile for $requiredFile")
         }
       }
 
@@ -536,6 +567,7 @@ class RocksDBFileManager(
         }
         filesCopied += 1
         bytesCopied += localFileSize
+        localFilesToDfsFiles.put(localFileName, file)
         logInfo(s"Copied $dfsFile to $localFile - $localFileSize bytes")
       } else {
         filesReused += 1
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
index 91dd858220717..04b11dfe43f0c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
@@ -24,16 +24,36 @@ import scala.language.implicitConversions
 
 import org.apache.commons.io.FileUtils
 import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
 import org.scalactic.source.Position
 import org.scalatest.Tag
 
 import org.apache.spark.sql.catalyst.util.quietly
-import org.apache.spark.sql.execution.streaming.CreateAtomicTestManager
+import org.apache.spark.sql.execution.streaming.{CreateAtomicTestManager, FileSystemBasedCheckpointFileManager}
+import org.apache.spark.sql.execution.streaming.CheckpointFileManager.{CancellableFSDataOutputStream, RenameBasedFSDataOutputStream}
 import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.SQLConf.STREAMING_CHECKPOINT_FILE_MANAGER_CLASS
 import org.apache.spark.sql.test.{SharedSparkSession, SQLTestUtils}
 import org.apache.spark.tags.SlowSQLTest
 import org.apache.spark.util.{ThreadUtils, Utils}
 
+class NoOverwriteFileSystemBasedCheckpointFileManager(path: Path, hadoopConf: Configuration)
+  extends FileSystemBasedCheckpointFileManager(path, hadoopConf) {
+
+  override def createAtomic(path: Path,
+                            overwriteIfPossible: Boolean): CancellableFSDataOutputStream = {
+    new RenameBasedFSDataOutputStream(this, path, overwriteIfPossible)
+  }
+
+  override def renameTempFile(srcPath: Path, dstPath: Path,
+                              overwriteIfPossible: Boolean): Unit = {
+    if (!fs.exists(dstPath)) {
+      // only write if a file does not exist at this location
+      super.renameTempFile(srcPath, dstPath, overwriteIfPossible)
+    }
+  }
+}
+
 trait RocksDBStateStoreChangelogCheckpointingTestUtil {
   val rocksdbChangelogCheckpointingConfKey: String = RocksDBConf.ROCKSDB_SQL_CONF_NAME_PREFIX +
     ".changelogCheckpointing.enabled"
@@ -666,19 +686,19 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
       // Save SAME version again with different checkpoint files and load back again to verify
       // whether files were overwritten.
       val cpFiles1_ = Seq(
-        "sst-file1.sst" -> 10, // same SST file as before, but same version, so should get copied
+        "sst-file1.sst" -> 10, // same SST file as before, this should get reused
         "sst-file2.sst" -> 25, // new SST file with same name as before, but different length
         "sst-file3.sst" -> 30, // new SST file
         "other-file1" -> 100, // same non-SST file as before, should not get copied
         "other-file2" -> 210, // new non-SST file with same name as before, but different length
         "other-file3" -> 300, // new non-SST file
-        "archive/00001.log" -> 1000, // same log file as before and version, so should get copied
+        "archive/00001.log" -> 1000, // same log file as before, this should get reused
         "archive/00002.log" -> 2500, // new log file with same name as before, but different length
         "archive/00003.log" -> 3000 // new log file
       )
       saveCheckpointFiles(fileManager, cpFiles1_, version = 1, numKeys = 1001)
-      assert(numRemoteSSTFiles === 5, "shouldn't copy same files again") // 2 old + 3 new SST files
-      assert(numRemoteLogFiles === 5, "shouldn't copy same files again") // 2 old + 3 new log files
+      assert(numRemoteSSTFiles === 4, "shouldn't copy same files again") // 2 old + 2 new SST files
+      assert(numRemoteLogFiles === 4, "shouldn't copy same files again") // 2 old + 2 new log files
       loadAndVerifyCheckpointFiles(fileManager, verificationDir, version = 1, cpFiles1_, 1001)
 
       // Save another version and verify
@@ -688,8 +708,8 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
         "archive/00004.log" -> 4000
       )
       saveCheckpointFiles(fileManager, cpFiles2, version = 2, numKeys = 1501)
-      assert(numRemoteSSTFiles === 6) // 1 new file over earlier 5 files
-      assert(numRemoteLogFiles === 6) // 1 new file over earlier 5 files
+      assert(numRemoteSSTFiles === 5) // 1 new file over earlier 4 files
+      assert(numRemoteLogFiles === 5) // 1 new file over earlier 4 files
       loadAndVerifyCheckpointFiles(fileManager, verificationDir, version = 2, cpFiles2, 1501)
 
       // Loading an older version should work
@@ -1152,6 +1172,286 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  test("time travel - validate successful RocksDB load") {
+    val remoteDir = Utils.createTempDir().toString
+    val conf = dbConf.copy(minDeltasForSnapshot = 1, compactOnCommit = false)
+    new File(remoteDir).delete() // to make sure that the directory gets created
+    withDB(remoteDir, conf = conf) { db =>
+      for (version <- 0 to 1) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 2.zip
+      db.doMaintenance()
+      for (version <- Seq(2)) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 3.zip
+      db.doMaintenance()
+      // simulate db in another executor that override the zip file
+      withDB(remoteDir, conf = conf) { db1 =>
+        for (version <- 0 to 1) {
+          db1.load(version)
+          db1.put(version.toString, version.toString)
+          db1.commit()
+        }
+        db1.doMaintenance()
+      }
+      db.load(2)
+      for (version <- Seq(2)) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 3.zip
+      db.doMaintenance()
+      // rollback to version 2
+      db.load(2)
+    }
+  }
+
+  test("time travel 2 - validate successful RocksDB load") {
+    Seq(1, 2).map(minDeltasForSnapshot => {
+      val remoteDir = Utils.createTempDir().toString
+      val conf = dbConf.copy(minDeltasForSnapshot = minDeltasForSnapshot,
+        compactOnCommit = false)
+      new File(remoteDir).delete() // to make sure that the directory gets created
+      withDB(remoteDir, conf = conf) { db =>
+        for (version <- 0 to 1) {
+          db.load(version)
+          db.put(version.toString, version.toString)
+          db.commit()
+        }
+        // upload snapshot 2.zip
+        db.doMaintenance()
+        for (version <- 2 to 3) {
+          db.load(version)
+          db.put(version.toString, version.toString)
+          db.commit()
+        }
+        db.load(0)
+        // simulate db in another executor that override the zip file
+        withDB(remoteDir, conf = conf) { db1 =>
+          for (version <- 0 to 1) {
+            db1.load(version)
+            db1.put(version.toString, version.toString)
+            db1.commit()
+          }
+          db1.doMaintenance()
+        }
+        for (version <- 2 to 3) {
+          db.load(version)
+          db.put(version.toString, version.toString)
+          db.commit()
+        }
+        // upload snapshot 4.zip
+        db.doMaintenance()
+      }
+      withDB(remoteDir, version = 4, conf = conf) { db =>
+      }
+    })
+  }
+
+  test("time travel 3 - validate successful RocksDB load") {
+    val remoteDir = Utils.createTempDir().toString
+    val conf = dbConf.copy(minDeltasForSnapshot = 0, compactOnCommit = false)
+    new File(remoteDir).delete() // to make sure that the directory gets created
+    withDB(remoteDir, conf = conf) { db =>
+      for (version <- 0 to 2) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 2.zip
+      db.doMaintenance()
+      for (version <- 1 to 3) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+      // upload snapshot 4.zip
+      db.doMaintenance()
+    }
+
+    withDB(remoteDir, version = 4, conf = conf) { db =>
+    }
+  }
+
+  test("validate Rocks DB SST files do not have a VersionIdMismatch" +
+    " when metadata file is not overwritten - scenario 1") {
+    val fmClass = "org.apache.spark.sql.execution.streaming.state." +
+      "NoOverwriteFileSystemBasedCheckpointFileManager"
+    withTempDir { dir =>
+      val dbConf = RocksDBConf(StateStoreConf(new SQLConf()))
+      val hadoopConf = new Configuration()
+      hadoopConf.set(STREAMING_CHECKPOINT_FILE_MANAGER_CLASS.parent.key, fmClass)
+
+      val remoteDir = dir.getCanonicalPath
+      withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db1 =>
+        withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db2 =>
+          // commit version 1 via db1
+          db1.load(0)
+          db1.put("a", "1")
+          db1.put("b", "1")
+
+          db1.commit()
+
+          // commit version 1 via db2
+          db2.load(0)
+          db2.put("a", "1")
+          db2.put("b", "1")
+
+          db2.commit()
+
+          // commit version 2 via db2
+          db2.load(1)
+          db2.put("a", "2")
+          db2.put("b", "2")
+
+          db2.commit()
+
+          // reload version 1, this should succeed
+          db2.load(1)
+          db1.load(1)
+
+          // reload version 2, this should succeed
+          db2.load(2)
+          db1.load(2)
+        }
+      }
+    }
+  }
+
+  test("validate Rocks DB SST files do not have a VersionIdMismatch" +
+    " when metadata file is overwritten - scenario 1") {
+    withTempDir { dir =>
+      val dbConf = RocksDBConf(StateStoreConf(new SQLConf()))
+      val hadoopConf = new Configuration()
+      val remoteDir = dir.getCanonicalPath
+      withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db1 =>
+        withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db2 =>
+          // commit version 1 via db1
+          db1.load(0)
+          db1.put("a", "1")
+          db1.put("b", "1")
+
+          db1.commit()
+
+          // commit version 1 via db2
+          db2.load(0)
+          db2.put("a", "1")
+          db2.put("b", "1")
+
+          db2.commit()
+
+          // commit version 2 via db2
+          db2.load(1)
+          db2.put("a", "2")
+          db2.put("b", "2")
+
+          db2.commit()
+
+          // reload version 1, this should succeed
+          db2.load(1)
+          db1.load(1)
+
+          // reload version 2, this should succeed
+          db2.load(2)
+          db1.load(2)
+        }
+      }
+    }
+  }
+
+  test("validate Rocks DB SST files do not have a VersionIdMismatch" +
+    " when metadata file is not overwritten - scenario 2") {
+    val fmClass = "org.apache.spark.sql.execution.streaming.state." +
+      "NoOverwriteFileSystemBasedCheckpointFileManager"
+    withTempDir { dir =>
+      val dbConf = RocksDBConf(StateStoreConf(new SQLConf()))
+      val hadoopConf = new Configuration()
+      hadoopConf.set(STREAMING_CHECKPOINT_FILE_MANAGER_CLASS.parent.key, fmClass)
+
+      val remoteDir = dir.getCanonicalPath
+      withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db1 =>
+        withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db2 =>
+          // commit version 1 via db2
+          db2.load(0)
+          db2.put("a", "1")
+          db2.put("b", "1")
+
+          db2.commit()
+
+          // commit version 1 via db1
+          db1.load(0)
+          db1.put("a", "1")
+          db1.put("b", "1")
+
+          db1.commit()
+
+          // commit version 2 via db2
+          db2.load(1)
+          db2.put("a", "2")
+          db2.put("b", "2")
+
+          db2.commit()
+
+          // reload version 1, this should succeed
+          db2.load(1)
+          db1.load(1)
+
+          // reload version 2, this should succeed
+          db2.load(2)
+          db1.load(2)
+        }
+      }
+    }
+  }
+
+  test("validate Rocks DB SST files do not have a VersionIdMismatch" +
+    " when metadata file is overwritten - scenario 2") {
+    withTempDir { dir =>
+      val dbConf = RocksDBConf(StateStoreConf(new SQLConf()))
+      val hadoopConf = new Configuration()
+      val remoteDir = dir.getCanonicalPath
+      withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db1 =>
+        withDB(remoteDir, conf = dbConf, hadoopConf = hadoopConf) { db2 =>
+          // commit version 1 via db2
+          db2.load(0)
+          db2.put("a", "1")
+          db2.put("b", "1")
+
+          db2.commit()
+
+          // commit version 1 via db1
+          db1.load(0)
+          db1.put("a", "1")
+          db1.put("b", "1")
+
+          db1.commit()
+
+          // commit version 2 via db2
+          db2.load(1)
+          db2.put("a", "2")
+          db2.put("b", "2")
+
+          db2.commit()
+
+          // reload version 1, this should succeed
+          db2.load(1)
+          db1.load(1)
+
+          // reload version 2, this should succeed
+          db2.load(2)
+          db1.load(2)
+        }
+      }
+    }
+  }
+
   private def sqlConf = SQLConf.get.clone()
 
   private def dbConf = RocksDBConf(StateStoreConf(sqlConf))

From 125b2f87d453a16325f24e7382707f2b365bba14 Mon Sep 17 00:00:00 2001
From: fred-db <fredrik.klauss@databricks.com>
Date: Thu, 25 Jan 2024 08:34:37 -0800
Subject: [PATCH 566/986] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler

* The DAGScheduler could currently run into a deadlock with another thread if both access the partitions of the same RDD at the same time.
* To make progress in getCacheLocs, we require both exclusive access to the RDD partitions and the location cache. We first lock on the location cache, and then on the RDD.
* When accessing partitions of an RDD, the RDD first acquires exclusive access on the partitions, and then might acquire exclusive access on the location cache.
* If thread 1 is able to acquire access on the RDD, while thread 2 holds the access to the location cache, we can run into a deadlock situation.
* To fix this, acquire locks in the same order. Change the DAGScheduler to first acquire the lock on the RDD, and then the lock on the location cache.

* This is a deadlock you can run into, which can prevent any progress on the cluster.

* No

* Unit test that reproduces the issue.

No

Closes #44882 from fred-db/fix-deadlock.

Authored-by: fred-db <fredrik.klauss@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 617014cc92d933c70c9865a578fceb265883badd)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../main/scala/org/apache/spark/rdd/RDD.scala | 11 ++++--
 .../apache/spark/scheduler/DAGScheduler.scala | 31 ++++++++-------
 .../spark/scheduler/DAGSchedulerSuite.scala   | 38 ++++++++++++++++++-
 3 files changed, 62 insertions(+), 18 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index a21d2ae773966..f695b10202758 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -223,14 +223,17 @@ abstract class RDD[T: ClassTag](
    * not use `this` because RDDs are user-visible, so users might have added their own locking on
    * RDDs; sharing that could lead to a deadlock.
    *
-   * One thread might hold the lock on many of these, for a chain of RDD dependencies; but
-   * because DAGs are acyclic, and we only ever hold locks for one path in that DAG, there is no
-   * chance of deadlock.
+   * One thread might hold the lock on many of these, for a chain of RDD dependencies. Deadlocks
+   * are possible if we try to lock another resource while holding the stateLock,
+   * and the lock acquisition sequence of these locks is not guaranteed to be the same.
+   * This can lead lead to a deadlock as one thread might first acquire the stateLock,
+   * and then the resource,
+   * while another thread might first acquire the resource, and then the stateLock.
    *
    * Executors may reference the shared fields (though they should never mutate them,
    * that only happens on the driver).
    */
-  private val stateLock = new Serializable {}
+  private[spark] val stateLock = new Serializable {}
 
   // Our dependencies and partitions will be gotten by calling subclass's methods below, and will
   // be overwritten when we're checkpointed
diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
index d8adaae19b90d..89d16e5793482 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
@@ -174,6 +174,9 @@ private[spark] class DAGScheduler(
    * locations where that RDD partition is cached.
    *
    * All accesses to this map should be guarded by synchronizing on it (see SPARK-4454).
+   * If you need to access any RDD while synchronizing on the cache locations,
+   * first synchronize on the RDD, and then synchronize on this map to avoid deadlocks. The RDD
+   * could try to access the cache locations after synchronizing on the RDD.
    */
   private val cacheLocs = new HashMap[Int, IndexedSeq[Seq[TaskLocation]]]
 
@@ -420,22 +423,24 @@ private[spark] class DAGScheduler(
   }
 
   private[scheduler]
-  def getCacheLocs(rdd: RDD[_]): IndexedSeq[Seq[TaskLocation]] = cacheLocs.synchronized {
-    // Note: this doesn't use `getOrElse()` because this method is called O(num tasks) times
-    if (!cacheLocs.contains(rdd.id)) {
-      // Note: if the storage level is NONE, we don't need to get locations from block manager.
-      val locs: IndexedSeq[Seq[TaskLocation]] = if (rdd.getStorageLevel == StorageLevel.NONE) {
-        IndexedSeq.fill(rdd.partitions.length)(Nil)
-      } else {
-        val blockIds =
-          rdd.partitions.indices.map(index => RDDBlockId(rdd.id, index)).toArray[BlockId]
-        blockManagerMaster.getLocations(blockIds).map { bms =>
-          bms.map(bm => TaskLocation(bm.host, bm.executorId))
+  def getCacheLocs(rdd: RDD[_]): IndexedSeq[Seq[TaskLocation]] = rdd.stateLock.synchronized {
+    cacheLocs.synchronized {
+      // Note: this doesn't use `getOrElse()` because this method is called O(num tasks) times
+      if (!cacheLocs.contains(rdd.id)) {
+        // Note: if the storage level is NONE, we don't need to get locations from block manager.
+        val locs: IndexedSeq[Seq[TaskLocation]] = if (rdd.getStorageLevel == StorageLevel.NONE) {
+          IndexedSeq.fill(rdd.partitions.length)(Nil)
+        } else {
+          val blockIds =
+            rdd.partitions.indices.map(index => RDDBlockId(rdd.id, index)).toArray[BlockId]
+          blockManagerMaster.getLocations(blockIds).map { bms =>
+            bms.map(bm => TaskLocation(bm.host, bm.executorId))
+          }
         }
+        cacheLocs(rdd.id) = locs
       }
-      cacheLocs(rdd.id) = locs
+      cacheLocs(rdd.id)
     }
-    cacheLocs(rdd.id)
   }
 
   private def clearCacheLocs(): Unit = cacheLocs.synchronized {
diff --git a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
index 9b7c5d5ace314..1818bf9b152d3 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
@@ -48,7 +48,7 @@ import org.apache.spark.scheduler.SchedulingMode.SchedulingMode
 import org.apache.spark.scheduler.local.LocalSchedulerBackend
 import org.apache.spark.shuffle.{FetchFailedException, MetadataFetchFailedException}
 import org.apache.spark.storage.{BlockId, BlockManager, BlockManagerId, BlockManagerMaster}
-import org.apache.spark.util.{AccumulatorContext, AccumulatorV2, CallSite, Clock, LongAccumulator, SystemClock, Utils}
+import org.apache.spark.util.{AccumulatorContext, AccumulatorV2, CallSite, Clock, LongAccumulator, SystemClock, ThreadUtils, Utils}
 
 class DAGSchedulerEventProcessLoopTester(dagScheduler: DAGScheduler)
   extends DAGSchedulerEventProcessLoop(dagScheduler) {
@@ -594,6 +594,42 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
     assertDataStructuresEmpty()
   }
 
+  // Note that this test is NOT perfectly reproducible when there is a deadlock as it uses
+  // Thread.sleep, but it should never fail / flake when there is no deadlock.
+  // If this test starts to flake, this shows that there is a deadlock!
+  test("No Deadlock between getCacheLocs and CoalescedRDD") {
+    val rdd = sc.parallelize(1 to 10, numSlices = 10)
+    val coalescedRDD = rdd.coalesce(2)
+    val executionContext = ThreadUtils.newDaemonFixedThreadPool(
+      nThreads = 2, "test-getCacheLocs")
+    // Used to only make progress on getCacheLocs after we acquired the lock to the RDD.
+    val rddLock = new java.util.concurrent.Semaphore(0)
+    val partitionsFuture = executionContext.submit(new Runnable {
+      override def run(): Unit = {
+        coalescedRDD.stateLock.synchronized {
+          rddLock.release(1)
+          // Try to access the partitions of the coalescedRDD. This will cause a call to
+          // getCacheLocs internally.
+          Thread.sleep(5000)
+          coalescedRDD.partitions
+        }
+      }
+    })
+    val getCacheLocsFuture = executionContext.submit(new Runnable {
+      override def run(): Unit = {
+        rddLock.acquire()
+        // Access the cache locations.
+        // If the partition location cache is locked before the stateLock is locked,
+        // we'll run into a deadlock.
+        sc.dagScheduler.getCacheLocs(coalescedRDD)
+      }
+    })
+    // If any of the futures throw a TimeOutException, this shows that there is a deadlock between
+    // getCacheLocs and accessing partitions of an RDD.
+    getCacheLocsFuture.get(120, TimeUnit.SECONDS)
+    partitionsFuture.get(120, TimeUnit.SECONDS)
+  }
+
   test("All shuffle files on the storage endpoint should be cleaned up when it is lost") {
     conf.set(config.SHUFFLE_SERVICE_ENABLED.key, "true")
     conf.set("spark.files.fetchFailure.unRegisterOutputOnHost", "true")

From e5a654e818b4698260807a081e5cf3d71480ac13 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Thu, 25 Jan 2024 22:35:38 -0800
Subject: [PATCH 567/986] [SPARK-46855][INFRA][3.5] Add `sketch` to the
 dependencies of the `catalyst` in `module.py`

### What changes were proposed in this pull request?
This pr add `sketch` to the dependencies of the `catalyst` module in `module.py` due to `sketch` is direct dependency of `catalyst` module.

### Why are the changes needed?
Ensure that when modifying the `sketch` module, both `catalyst` and cascading modules will trigger tests.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #44893 from LuciferYang/SPARK-46855-35.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/sparktestsupport/modules.py | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 33d253a47ea07..d29fc8726018d 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -168,6 +168,15 @@ def __hash__(self):
     ],
 )
 
+sketch = Module(
+    name="sketch",
+    dependencies=[tags],
+    source_file_regexes=[
+        "common/sketch/",
+    ],
+    sbt_test_goals=["sketch/test"],
+)
+
 core = Module(
     name="core",
     dependencies=[kvstore, network_common, network_shuffle, unsafe, launcher],
@@ -181,7 +190,7 @@ def __hash__(self):
 
 catalyst = Module(
     name="catalyst",
-    dependencies=[tags, core],
+    dependencies=[tags, sketch, core],
     source_file_regexes=[
         "sql/catalyst/",
     ],
@@ -295,15 +304,6 @@ def __hash__(self):
     ],
 )
 
-sketch = Module(
-    name="sketch",
-    dependencies=[tags],
-    source_file_regexes=[
-        "common/sketch/",
-    ],
-    sbt_test_goals=["sketch/test"],
-)
-
 graphx = Module(
     name="graphx",
     dependencies=[tags, core],

From cf4e8672dd1a4e6309bb530191be7d92a793cb28 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Fri, 26 Jan 2024 11:02:15 +0300
Subject: [PATCH 568/986] [SPARK-46862][SQL] Disable CSV column pruning in the
 multi-line mode

### What changes were proposed in this pull request?
In the PR, I propose to disable the column pruning feature in the CSV datasource for the `multiLine` mode.

### Why are the changes needed?
To workaround the issue in the `uniVocity` parser used by the CSV datasource: https://github.com/uniVocity/univocity-parsers/issues/529

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
By running the affected test suites:
```
$ build/sbt "test:testOnly *CSVv1Suite"
$ build/sbt "test:testOnly *CSVv2Suite"
$ build/sbt "test:testOnly *CSVLegacyTimeParserSuite"
$ build/sbt "testOnly *.CsvFunctionsSuite"
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44872 from MaxGekk/csv-disable-column-pruning.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 829e742df8251c6f5e965cb08ad454ac3ee1a389)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../spark/sql/catalyst/csv/CSVOptions.scala   | 10 ++++++++
 .../sql/catalyst/csv/UnivocityParser.scala    |  2 +-
 .../v2/csv/CSVPartitionReaderFactory.scala    |  2 +-
 .../execution/datasources/csv/CSVSuite.scala  | 25 ++++++++++++++++++-
 4 files changed, 36 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
index 845c815c5648b..c5a6bf5076dec 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
@@ -277,6 +277,15 @@ class CSVOptions(
   val unescapedQuoteHandling: UnescapedQuoteHandling = UnescapedQuoteHandling.valueOf(parameters
     .getOrElse(UNESCAPED_QUOTE_HANDLING, "STOP_AT_DELIMITER").toUpperCase(Locale.ROOT))
 
+  /**
+   * The column pruning feature can be enabled either via the CSV option `columnPruning` or
+   * in non-multiline mode via initialization of CSV options by the SQL config:
+   * `spark.sql.csv.parser.columnPruning.enabled`.
+   * The feature is disabled in the `multiLine` mode because of the issue:
+   * https://github.com/uniVocity/univocity-parsers/issues/529
+   */
+  val isColumnPruningEnabled: Boolean = getBool(COLUMN_PRUNING, !multiLine && columnPruning)
+
   def asWriterSettings: CsvWriterSettings = {
     val writerSettings = new CsvWriterSettings()
     val format = writerSettings.getFormat
@@ -376,4 +385,5 @@ object CSVOptions extends DataSourceOptions {
   val SEP = "sep"
   val DELIMITER = "delimiter"
   newOption(SEP, DELIMITER)
+  val COLUMN_PRUNING = newOption("columnPruning")
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
index b99ee630d4b22..804c5d358ad6c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
@@ -72,7 +72,7 @@ class UnivocityParser(
   // positions. Generally assigned by input configuration options, except when input column(s) have
   // default values, in which case we omit the explicit indexes in order to know how many tokens
   // were present in each line instead.
-  private def columnPruning: Boolean = options.columnPruning &&
+  private def columnPruning: Boolean = options.isColumnPruningEnabled &&
     !requiredSchema.exists(_.metadata.contains(EXISTS_DEFAULT_COLUMN_METADATA_KEY))
 
   // When column pruning is enabled, the parser only parses the required columns based on
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVPartitionReaderFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVPartitionReaderFactory.scala
index 37f6ae4aaa9fc..cef5a71ca9c60 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVPartitionReaderFactory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVPartitionReaderFactory.scala
@@ -58,7 +58,7 @@ case class CSVPartitionReaderFactory(
       actualReadDataSchema,
       options,
       filters)
-    val schema = if (options.columnPruning) actualReadDataSchema else actualDataSchema
+    val schema = if (options.isColumnPruningEnabled) actualReadDataSchema else actualDataSchema
     val isStartOfFile = file.start == 0
     val headerChecker = new CSVHeaderChecker(
       schema, options, source = s"CSV file: ${file.urlEncodedPath}", isStartOfFile)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index 78266acfd7de9..6690bf101fa7a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -2079,6 +2079,7 @@ abstract class CSVSuite
             .option("header", true)
             .option("enforceSchema", false)
             .option("multiLine", multiLine)
+            .option("columnPruning", true)
             .load(dir)
             .select("columnA"),
             Row("a"))
@@ -2089,6 +2090,7 @@ abstract class CSVSuite
             .option("header", true)
             .option("enforceSchema", false)
             .option("multiLine", multiLine)
+            .option("columnPruning", true)
             .load(dir)
             .count() === 1L)
         }
@@ -3151,7 +3153,7 @@ abstract class CSVSuite
   }
 
   test("SPARK-40667: validate CSV Options") {
-    assert(CSVOptions.getAllOptions.size == 38)
+    assert(CSVOptions.getAllOptions.size == 39)
     // Please add validation on any new CSV options here
     assert(CSVOptions.isValidOption("header"))
     assert(CSVOptions.isValidOption("inferSchema"))
@@ -3191,6 +3193,7 @@ abstract class CSVSuite
     assert(CSVOptions.isValidOption("codec"))
     assert(CSVOptions.isValidOption("sep"))
     assert(CSVOptions.isValidOption("delimiter"))
+    assert(CSVOptions.isValidOption("columnPruning"))
     // Please add validation on any new parquet options with alternative here
     assert(CSVOptions.getAlternativeOption("sep").contains("delimiter"))
     assert(CSVOptions.getAlternativeOption("delimiter").contains("sep"))
@@ -3200,6 +3203,26 @@ abstract class CSVSuite
     assert(CSVOptions.getAlternativeOption("codec").contains("compression"))
     assert(CSVOptions.getAlternativeOption("preferDate").isEmpty)
   }
+
+  test("SPARK-46862: column pruning in the multi-line mode") {
+    val data =
+      """"jobID","Name","City","Active"
+        |"1","DE","","Yes"
+        |"5",",","",","
+        |"3","SA","","No"
+        |"10","abcd""efgh"" \ndef","",""
+        |"8","SE","","No"""".stripMargin
+
+    withTempPath { path =>
+      Files.write(path.toPath, data.getBytes(StandardCharsets.UTF_8))
+      val df = spark.read
+        .option("multiline", "true")
+        .option("header", "true")
+        .option("escape", "\"")
+        .csv(path.getCanonicalPath)
+      assert(df.count() === 5)
+    }
+  }
 }
 
 class CSVv1Suite extends CSVSuite {

From a2854ba5d852e2001b96636a8964494c45fc27d3 Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Sat, 27 Jan 2024 19:22:52 +0300
Subject: [PATCH 569/986] [SPARK-46862][SQL][FOLLOWUP] Fix column pruning
 without schema enforcing in V1 CSV datasource

### What changes were proposed in this pull request?
In the PR, I propose to invoke `CSVOptons.isColumnPruningEnabled` introduced by https://github.com/apache/spark/pull/44872 while matching of CSV header to a schema in the V1 CSV datasource.

### Why are the changes needed?
To fix the failure when column pruning happens and a schema is not enforced:
```scala
scala> spark.read.
     | option("multiLine", true).
     | option("header", true).
     | option("escape", "\"").
     | option("enforceSchema", false).
     | csv("/Users/maximgekk/tmp/es-939111-data.csv").
     | count()
24/01/27 12:43:14 ERROR Executor: Exception in task 0.0 in stage 3.0 (TID 3)
java.lang.IllegalArgumentException: Number of column in CSV header is not equal to number of fields in the schema:
 Header length: 4, schema size: 0
CSV file: file:///Users/maximgekk/tmp/es-939111-data.csv
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
By running the affected test suites:
```
$ build/sbt "test:testOnly *CSVv1Suite"
$ build/sbt "test:testOnly *CSVv2Suite"
$ build/sbt "test:testOnly *CSVLegacyTimeParserSuite"
$ build/sbt "testOnly *.CsvFunctionsSuite"
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44910 from MaxGekk/check-header-column-pruning.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit bc51c9fea3645c6ae1d9e1e83b0f94f8b849be20)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../execution/datasources/csv/CSVFileFormat.scala |  6 +++---
 .../sql/execution/datasources/csv/CSVSuite.scala  | 15 +++++++++------
 2 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala
index 069ad9562a7d5..0ff96f073f03b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala
@@ -100,12 +100,12 @@ class CSVFileFormat extends TextBasedFileFormat with DataSourceRegister {
       hadoopConf: Configuration): (PartitionedFile) => Iterator[InternalRow] = {
     val broadcastedHadoopConf =
       sparkSession.sparkContext.broadcast(new SerializableConfiguration(hadoopConf))
-    val columnPruning = sparkSession.sessionState.conf.csvColumnPruning
     val parsedOptions = new CSVOptions(
       options,
-      columnPruning,
+      sparkSession.sessionState.conf.csvColumnPruning,
       sparkSession.sessionState.conf.sessionLocalTimeZone,
       sparkSession.sessionState.conf.columnNameOfCorruptRecord)
+    val isColumnPruningEnabled = parsedOptions.isColumnPruningEnabled
 
     // Check a field requirement for corrupt records here to throw an exception in a driver side
     ExprUtils.verifyColumnNameOfCorruptRecord(dataSchema, parsedOptions.columnNameOfCorruptRecord)
@@ -125,7 +125,7 @@ class CSVFileFormat extends TextBasedFileFormat with DataSourceRegister {
         actualRequiredSchema,
         parsedOptions,
         actualFilters)
-      val schema = if (columnPruning) actualRequiredSchema else actualDataSchema
+      val schema = if (isColumnPruningEnabled) actualRequiredSchema else actualDataSchema
       val isStartOfFile = file.start == 0
       val headerChecker = new CSVHeaderChecker(
         schema, parsedOptions, source = s"CSV file: ${file.urlEncodedPath}", isStartOfFile)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index 6690bf101fa7a..a91adb787838e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -3215,12 +3215,15 @@ abstract class CSVSuite
 
     withTempPath { path =>
       Files.write(path.toPath, data.getBytes(StandardCharsets.UTF_8))
-      val df = spark.read
-        .option("multiline", "true")
-        .option("header", "true")
-        .option("escape", "\"")
-        .csv(path.getCanonicalPath)
-      assert(df.count() === 5)
+      Seq(true, false).foreach { enforceSchema =>
+        val df = spark.read
+          .option("multiLine", true)
+          .option("header", true)
+          .option("escape", "\"")
+          .option("enforceSchema", enforceSchema)
+          .csv(path.getCanonicalPath)
+        assert(df.count() === 5)
+      }
     }
   }
 }

From accfb39e4ddf7f7b54396bd0e35256a04461c693 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sat, 27 Jan 2024 20:24:15 -0800
Subject: [PATCH 570/986] [SPARK-46888][CORE] Fix `Master` to reject
 `/workers/kill/` requests if decommission is disabled
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR aims to fix `Master` to reject `/workers/kill/` request if `spark.decommission.enabled` is `false` in order to fix the dangling worker issue.

Currently, `spark.decommission.enabled` is `false` by default. So, when a user asks to decommission, only Master marked it `DECOMMISSIONED` while the worker is alive.
```
$ curl -XPOST http://localhost:8080/workers/kill/\?host\=127.0.0.1
```

**Master UI**
![Screenshot 2024-01-27 at 6 19 18 PM](https://github.com/apache/spark/assets/9700541/443bfc32-b924-438a-8bf6-c64b9afbc4be)

**Worker Log**
```
24/01/27 18:18:06 WARN Worker: Receive decommission request, but decommission feature is disabled.
```

To be consistent with the existing `Worker` behavior which ignores the request.

https://github.com/apache/spark/blob/1787a5261e87e0214a3f803f6534c5e52a0138e6/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala#L859-L868

No, this is a bug fix.

Pass the CI with the newly added test case.

No.

Closes #44915 from dongjoon-hyun/SPARK-46888.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 20b593811dc02c96c71978851e051d32bf8c3496)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/deploy/master/ui/MasterWebUI.scala  |  4 +++-
 .../spark/deploy/master/MasterSuite.scala     | 21 +++++++++++++++++++
 .../deploy/master/ui/MasterWebUISuite.scala   |  3 ++-
 3 files changed, 26 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
index af94bd6d9e0f2..53e5c5ac2a8f0 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
@@ -23,6 +23,7 @@ import javax.servlet.http.{HttpServlet, HttpServletRequest, HttpServletResponse}
 import org.apache.spark.deploy.DeployMessages.{DecommissionWorkersOnHosts, MasterStateResponse, RequestMasterState}
 import org.apache.spark.deploy.master.Master
 import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.DECOMMISSION_ENABLED
 import org.apache.spark.internal.config.UI.MASTER_UI_DECOMMISSION_ALLOW_MODE
 import org.apache.spark.internal.config.UI.UI_KILL_ENABLED
 import org.apache.spark.ui.{SparkUI, WebUI}
@@ -40,6 +41,7 @@ class MasterWebUI(
 
   val masterEndpointRef = master.self
   val killEnabled = master.conf.get(UI_KILL_ENABLED)
+  val decommissionDisabled = !master.conf.get(DECOMMISSION_ENABLED)
   val decommissionAllowMode = master.conf.get(MASTER_UI_DECOMMISSION_ALLOW_MODE)
 
   initialize()
@@ -58,7 +60,7 @@ class MasterWebUI(
       override def doPost(req: HttpServletRequest, resp: HttpServletResponse): Unit = {
         val hostnames: Seq[String] = Option(req.getParameterValues("host"))
           .getOrElse(Array[String]()).toSeq
-        if (!isDecommissioningRequestAllowed(req)) {
+        if (decommissionDisabled || !isDecommissioningRequestAllowed(req)) {
           resp.sendError(HttpServletResponse.SC_METHOD_NOT_ALLOWED)
         } else {
           val removedWorkers = masterEndpointRef.askSync[Integer](
diff --git a/core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala b/core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala
index 1cec863b1e7f9..37874de987662 100644
--- a/core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala
+++ b/core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.deploy.master
 
+import java.net.{HttpURLConnection, URL}
 import java.util.Date
 import java.util.concurrent.{ConcurrentLinkedQueue, CountDownLatch, TimeUnit}
 import java.util.concurrent.atomic.AtomicInteger
@@ -325,6 +326,26 @@ class MasterSuite extends SparkFunSuite
     }
   }
 
+  test("SPARK-46888: master should reject worker kill request if decommision is disabled") {
+    implicit val formats = org.json4s.DefaultFormats
+    val conf = new SparkConf()
+      .set(DECOMMISSION_ENABLED, false)
+      .set(MASTER_UI_DECOMMISSION_ALLOW_MODE, "ALLOW")
+    val localCluster = LocalSparkCluster(1, 1, 512, conf)
+    localCluster.start()
+    val masterUrl = s"http://${Utils.localHostNameForURI()}:${localCluster.masterWebUIPort}"
+    try {
+      eventually(timeout(30.seconds), interval(100.milliseconds)) {
+        val url = new URL(s"$masterUrl/workers/kill/?host=${Utils.localHostNameForURI()}")
+        val conn = url.openConnection().asInstanceOf[HttpURLConnection]
+        conn.setRequestMethod("POST")
+        assert(conn.getResponseCode === 405)
+      }
+    } finally {
+      localCluster.stop()
+    }
+  }
+
   test("master/worker web ui available") {
     implicit val formats = org.json4s.DefaultFormats
     val conf = new SparkConf()
diff --git a/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala b/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
index 024511189accc..40265a12af93b 100644
--- a/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
+++ b/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
@@ -30,12 +30,13 @@ import org.apache.spark.{SecurityManager, SparkConf, SparkFunSuite}
 import org.apache.spark.deploy.DeployMessages.{DecommissionWorkersOnHosts, KillDriverResponse, RequestKillDriver}
 import org.apache.spark.deploy.DeployTestUtils._
 import org.apache.spark.deploy.master._
+import org.apache.spark.internal.config.DECOMMISSION_ENABLED
 import org.apache.spark.rpc.{RpcEndpointRef, RpcEnv}
 import org.apache.spark.util.Utils
 
 class MasterWebUISuite extends SparkFunSuite {
 
-  val conf = new SparkConf()
+  val conf = new SparkConf().set(DECOMMISSION_ENABLED, true)
   val securityMgr = new SecurityManager(conf)
   val rpcEnv = mock(classOf[RpcEnv])
   val master = mock(classOf[Master])

From 343ae822616185022570f1c14b151e54ff54e265 Mon Sep 17 00:00:00 2001
From: Willi Raschkowski <wraschkowski@palantir.com>
Date: Mon, 29 Jan 2024 22:43:21 -0800
Subject: [PATCH 571/986] [SPARK-46893][UI] Remove inline scripts from UI
 descriptions

### What changes were proposed in this pull request?
This PR prevents malicious users from injecting inline scripts via job and stage descriptions.

Spark's Web UI [already checks the security of job and stage descriptions](https://github.com/apache/spark/blob/a368280708dd3c6eb90bd3b09a36a68bdd096222/core/src/main/scala/org/apache/spark/ui/UIUtils.scala#L528-L545) before rendering them as HTML (or treating them as plain text). The UI already disallows `<script>` tags but doesn't protect against attributes with inline scripts like `onclick` or `onmouseover`.

### Why are the changes needed?
On multi-user clusters, bad users can inject scripts into their job and stage descriptions. The UI already finds that [worth protecting against](https://github.com/apache/spark/blob/a368280708dd3c6eb90bd3b09a36a68bdd096222/core/src/main/scala/org/apache/spark/ui/UIUtils.scala#L533-L535). So this is extending that protection to scripts in attributes.

### Does this PR introduce _any_ user-facing change?
Yes if users relied on inline scripts or attributes in their job or stage descriptions.

### How was this patch tested?
Added tests.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #44933 from rshkv/wr/spark-46893.

Authored-by: Willi Raschkowski <wraschkowski@palantir.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit abd9d27e87b915612e2a89e0d2527a04c7b984e0)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../main/scala/org/apache/spark/ui/UIUtils.scala   | 12 +++++++++---
 .../scala/org/apache/spark/ui/UIUtilsSuite.scala   | 14 ++++++++++++++
 2 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index 286c0a1625150..695f6d54e8f53 100644
--- a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -551,8 +551,8 @@ private[spark] object UIUtils extends Logging {
    * the whole string will rendered as a simple escaped text.
    *
    * Note: In terms of security, only anchor tags with root relative links are supported. So any
-   * attempts to embed links outside Spark UI, or other tags like &lt;script&gt; will cause in
-   * the whole description to be treated as plain text.
+   * attempts to embed links outside Spark UI, other tags like &lt;script&gt;, or inline scripts
+   * like `onclick` will cause in the whole description to be treated as plain text.
    *
    * @param desc        the original job or stage description string, which may contain html tags.
    * @param basePathUri with which to prepend the relative links; this is used when plainText is
@@ -572,7 +572,13 @@ private[spark] object UIUtils extends Logging {
 
       // Verify that this has only anchors and span (we are wrapping in span)
       val allowedNodeLabels = Set("a", "span", "br")
-      val illegalNodes = (xml \\ "_").filterNot(node => allowedNodeLabels.contains(node.label))
+      val allowedAttributes = Set("class", "href")
+      val illegalNodes =
+        (xml \\ "_").filterNot { node =>
+          allowedNodeLabels.contains(node.label) &&
+            // Verify we only have href attributes
+            node.attributes.map(_.key).forall(allowedAttributes.contains)
+        }
       if (illegalNodes.nonEmpty) {
         throw new IllegalArgumentException(
           "Only HTML anchors allowed in job descriptions\n" +
diff --git a/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala b/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
index aecd25f6c8dea..5586badd668dd 100644
--- a/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ui/UIUtilsSuite.scala
@@ -61,6 +61,20 @@ class UIUtilsSuite extends SparkFunSuite {
       errorMsg = "Base URL should be prepended to html links",
       plainText = false
     )
+
+    verify(
+      """<a onclick="alert('oops');"></a>""",
+      <span class="description-input">{"""<a onclick="alert('oops');"></a>"""}</span>,
+      "Non href attributes should make the description be treated as a string instead of HTML",
+      plainText = false
+    )
+
+    verify(
+      """<a onmouseover="alert('oops');"></a>""",
+      <span class="description-input">{"""<a onmouseover="alert('oops');"></a>"""}</span>,
+      "Non href attributes should make the description be treated as a string instead of HTML",
+      plainText = false
+    )
   }
 
   test("makeDescription(plainText = true)") {

From d3b4537f8bd510ced3ac0fa9a3c53a0ade2898fe Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 30 Jan 2024 20:34:28 +0800
Subject: [PATCH 572/986] [SPARK-46747][SQL] Avoid scan in getTableExistsQuery
 for JDBC Dialects
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

[SPARK-46747](https://issues.apache.org/jira/browse/SPARK-46747) reported an issue that Postgres instances suffered from too many shared locks, which was caused by Spark‘s get table exist query. In this PR, we supplanted `"SELECT 1 FROM $table LIMIT 1"` with `"SELECT 1 FROM $table WHERE 1=0"` to prevent data from being scanned.

### Why are the changes needed?

overhead reduction for JDBC datasources

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing JDBC v1/v2 datasouce tests.

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44948 from yaooqinn/SPARK-46747.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 031df8fa62666f14f54cf0a792f7fa2acc43afee)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/sql/jdbc/JdbcDialects.scala     | 2 +-
 .../scala/org/apache/spark/sql/jdbc/MySQLDialect.scala     | 4 ----
 .../scala/org/apache/spark/sql/jdbc/PostgresDialect.scala  | 4 ----
 .../test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala   | 7 +++----
 4 files changed, 4 insertions(+), 13 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index 2f5e813dcb618..ae8d89f0f0469 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -198,7 +198,7 @@ abstract class JdbcDialect extends Serializable with Logging {
    * @return The SQL query to use for checking the table.
    */
   def getTableExistsQuery(table: String): String = {
-    s"SELECT * FROM $table WHERE 1=0"
+    s"SELECT 1 FROM $table WHERE 1=0"
   }
 
   /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index c7e14cc78d5bf..c96da2d42a2af 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -130,10 +130,6 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
     schemaBuilder.result
   }
 
-  override def getTableExistsQuery(table: String): String = {
-    s"SELECT 1 FROM $table LIMIT 1"
-  }
-
   override def isCascadingTruncateTable(): Option[Boolean] = Some(false)
 
   // See https://dev.mysql.com/doc/refman/8.0/en/alter-table.html
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index 9c1ca2cb913e6..55cd64fa898c1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -129,10 +129,6 @@ private object PostgresDialect extends JdbcDialect with SQLConfHelper {
     case _ => None
   }
 
-  override def getTableExistsQuery(table: String): String = {
-    s"SELECT 1 FROM $table LIMIT 1"
-  }
-
   override def isCascadingTruncateTable(): Option[Boolean] = Some(false)
 
   /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index c4145f4cbf73b..e151f2c0225de 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -1055,10 +1055,9 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     val h2 = JdbcDialects.get(url)
     val derby = JdbcDialects.get("jdbc:derby:db")
     val table = "weblogs"
-    val defaultQuery = s"SELECT * FROM $table WHERE 1=0"
-    val limitQuery = s"SELECT 1 FROM $table LIMIT 1"
-    assert(MySQL.getTableExistsQuery(table) == limitQuery)
-    assert(Postgres.getTableExistsQuery(table) == limitQuery)
+    val defaultQuery = s"SELECT 1 FROM $table WHERE 1=0"
+    assert(MySQL.getTableExistsQuery(table) == defaultQuery)
+    assert(Postgres.getTableExistsQuery(table) == defaultQuery)
     assert(db2.getTableExistsQuery(table) == defaultQuery)
     assert(h2.getTableExistsQuery(table) == defaultQuery)
     assert(derby.getTableExistsQuery(table) == defaultQuery)

From 547edb2b4ac7afd146717bb9c8d38c6ec92d6bd9 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 2 Feb 2024 10:44:40 +0800
Subject: [PATCH 573/986] [SPARK-46945][K8S][3.5] Add
 `spark.kubernetes.legacy.useReadWriteOnceAccessMode` for old K8s clusters

### What changes were proposed in this pull request?

This PR aims to introduce a legacy configuration for K8s PVC access mode to mitigate migrations issues in old K8s clusters.

This is a kind of backport of
- #44985

### Why are the changes needed?

- The default value of `spark.kubernetes.legacy.useReadWriteOnceAccessMode` is `true` in branch-3.5.
- To help the users who cannot upgrade their K8s versions.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #44986 from dongjoon-hyun/SPARK-46945-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../main/scala/org/apache/spark/deploy/k8s/Config.scala  | 9 +++++++++
 .../deploy/k8s/features/MountVolumesFeatureStep.scala    | 8 +++++++-
 2 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
index 0c54191fb10d5..dd8c59204b5ee 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
@@ -63,6 +63,15 @@ private[spark] object Config extends Logging {
       .booleanConf
       .createWithDefault(true)
 
+  val KUBERNETES_USE_LEGACY_PVC_ACCESS_MODE =
+    ConfigBuilder("spark.kubernetes.legacy.useReadWriteOnceAccessMode")
+      .internal()
+      .doc("If true, use ReadWriteOnce instead of ReadWriteOncePod as persistence volume " +
+        "access mode.")
+      .version("3.4.3")
+      .booleanConf
+      .createWithDefault(true)
+
   val KUBERNETES_DRIVER_SERVICE_IP_FAMILY_POLICY =
     ConfigBuilder("spark.kubernetes.driver.service.ipFamilyPolicy")
       .doc("K8s IP Family Policy for Driver Service")
diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
index cbbbb9c0bdf57..64f3491b861ee 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/MountVolumesFeatureStep.scala
@@ -22,6 +22,7 @@ import scala.collection.mutable.ArrayBuffer
 import io.fabric8.kubernetes.api.model._
 
 import org.apache.spark.deploy.k8s._
+import org.apache.spark.deploy.k8s.Config.KUBERNETES_USE_LEGACY_PVC_ACCESS_MODE
 import org.apache.spark.deploy.k8s.Constants.{ENV_EXECUTOR_ID, SPARK_APP_ID_LABEL}
 
 private[spark] class MountVolumesFeatureStep(conf: KubernetesConf)
@@ -29,6 +30,11 @@ private[spark] class MountVolumesFeatureStep(conf: KubernetesConf)
   import MountVolumesFeatureStep._
 
   val additionalResources = ArrayBuffer.empty[HasMetadata]
+  val accessMode = if (conf.get(KUBERNETES_USE_LEGACY_PVC_ACCESS_MODE)) {
+    "ReadWriteOnce"
+  } else {
+    PVC_ACCESS_MODE
+  }
 
   override def configurePod(pod: SparkPod): SparkPod = {
     val (volumeMounts, volumes) = constructVolumes(conf.volumes).unzip
@@ -89,7 +95,7 @@ private[spark] class MountVolumesFeatureStep(conf: KubernetesConf)
                 .endMetadata()
               .withNewSpec()
                 .withStorageClassName(storageClass.get)
-                .withAccessModes(PVC_ACCESS_MODE)
+                .withAccessModes(accessMode)
                 .withResources(new ResourceRequirementsBuilder()
                   .withRequests(Map("storage" -> new Quantity(size.get)).asJava).build())
                 .endSpec()

From 4b33d2874fb3d73a4a35155b9d8b515518153321 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 2 Feb 2024 15:17:43 +0800
Subject: [PATCH 574/986] [SPARK-46953][TEST] Wrap withTable for a test in
 ResolveDefaultColumnsSuite

### What changes were proposed in this pull request?

The table is not cleaned up after this test; test retries or upcoming new tests reused 't' as the table name will fail with TAEE.

### Why are the changes needed?

fix tests as FOLLOWUP of SPARK-43742

### Does this PR introduce _any_ user-facing change?

no
### How was this patch tested?

this test itself
### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44993 from yaooqinn/SPARK-43742.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit a3432428e760fc16610cfe3380d3bdea7654f75d)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/ResolveDefaultColumnsSuite.scala      | 104 +++++++++---------
 1 file changed, 53 insertions(+), 51 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
index 29b2796d25aa4..00529559a4853 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
@@ -76,57 +76,59 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
   }
 
   test("INSERT into partitioned tables") {
-    sql("create table t(c1 int, c2 int, c3 int, c4 int) using parquet partitioned by (c3, c4)")
-
-    // INSERT without static partitions
-    checkError(
-      exception = intercept[AnalysisException] {
-        sql("insert into t values (1, 2, 3)")
-      },
-      errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
-      parameters = Map(
-        "tableName" -> "`spark_catalog`.`default`.`t`",
-        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
-        "dataColumns" -> "`col1`, `col2`, `col3`"))
-
-    // INSERT without static partitions but with column list
-    sql("truncate table t")
-    sql("insert into t (c2, c1, c4) values (1, 2, 3)")
-    checkAnswer(spark.table("t"), Row(2, 1, null, 3))
-
-    // INSERT with static partitions
-    sql("truncate table t")
-    checkError(
-      exception = intercept[AnalysisException] {
-        sql("insert into t partition(c3=3, c4=4) values (1)")
-      },
-      errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
-      parameters = Map(
-        "tableName" -> "`spark_catalog`.`default`.`t`",
-        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
-        "dataColumns" -> "`col1`",
-        "staticPartCols" -> "`c3`, `c4`"))
-
-    // INSERT with static partitions and with column list
-    sql("truncate table t")
-    sql("insert into t partition(c3=3, c4=4) (c2) values (1)")
-    checkAnswer(spark.table("t"), Row(null, 1, 3, 4))
-
-    // INSERT with partial static partitions
-    sql("truncate table t")
-    checkError(
-      exception = intercept[AnalysisException] {
-        sql("insert into t partition(c3=3, c4) values (1, 2)")
-      },
-      errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
-      parameters = Map(
-        "tableName" -> "`spark_catalog`.`default`.`t`",
-        "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
-        "dataColumns" -> "`col1`, `col2`",
-        "staticPartCols" -> "`c3`"))
-
-    // INSERT with partial static partitions and with column list is not allowed
-    intercept[AnalysisException](sql("insert into t partition(c3=3, c4) (c1) values (1, 4)"))
+    withTable("t") {
+      sql("create table t(c1 int, c2 int, c3 int, c4 int) using parquet partitioned by (c3, c4)")
+
+      // INSERT without static partitions
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("insert into t values (1, 2, 3)")
+        },
+        errorClass = "INSERT_COLUMN_ARITY_MISMATCH.NOT_ENOUGH_DATA_COLUMNS",
+        parameters = Map(
+          "tableName" -> "`spark_catalog`.`default`.`t`",
+          "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+          "dataColumns" -> "`col1`, `col2`, `col3`"))
+
+      // INSERT without static partitions but with column list
+      sql("truncate table t")
+      sql("insert into t (c2, c1, c4) values (1, 2, 3)")
+      checkAnswer(spark.table("t"), Row(2, 1, null, 3))
+
+      // INSERT with static partitions
+      sql("truncate table t")
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("insert into t partition(c3=3, c4=4) values (1)")
+        },
+        errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
+        parameters = Map(
+          "tableName" -> "`spark_catalog`.`default`.`t`",
+          "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+          "dataColumns" -> "`col1`",
+          "staticPartCols" -> "`c3`, `c4`"))
+
+      // INSERT with static partitions and with column list
+      sql("truncate table t")
+      sql("insert into t partition(c3=3, c4=4) (c2) values (1)")
+      checkAnswer(spark.table("t"), Row(null, 1, 3, 4))
+
+      // INSERT with partial static partitions
+      sql("truncate table t")
+      checkError(
+        exception = intercept[AnalysisException] {
+          sql("insert into t partition(c3=3, c4) values (1, 2)")
+        },
+        errorClass = "INSERT_PARTITION_COLUMN_ARITY_MISMATCH",
+        parameters = Map(
+          "tableName" -> "`spark_catalog`.`default`.`t`",
+          "tableColumns" -> "`c1`, `c2`, `c3`, `c4`",
+          "dataColumns" -> "`col1`, `col2`",
+          "staticPartCols" -> "`c3`"))
+
+      // INSERT with partial static partitions and with column list is not allowed
+      intercept[AnalysisException](sql("insert into t partition(c3=3, c4) (c1) values (1, 4)"))
+    }
   }
 
   test("SPARK-43085: Column DEFAULT assignment for target tables with multi-part names") {

From 3f426b5bddf4c45b5829ca71acaf82dce1d376df Mon Sep 17 00:00:00 2001
From: KKtheGhost <dev@amd.sh>
Date: Mon, 5 Feb 2024 09:49:19 +0800
Subject: [PATCH 575/986] [MINOR][DOCS] Add Missing space in
 `docs/configuration.md`

### What changes were proposed in this pull request?

Add a missing space in documentation file `docs/configuration.md`, which might lead to some misunderstanding to newcomers.

### Why are the changes needed?

To eliminate ambiguity in sentences.

### Does this PR introduce _any_ user-facing change?

Yes, it changes the documentation.

### How was this patch tested?

I built the docs locally and double-checked the spelling.

### Was this patch authored or co-authored using generative AI tooling?

No. It is just a little typo lol.

Closes #45021 from KKtheGhost/fix/spell-configuration.

Authored-by: KKtheGhost <dev@amd.sh>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit da73c123e648460dc7df04e9eda9d90445dfedff)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/configuration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index 645c3e8208abc..5457a77e4fc72 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -3216,7 +3216,7 @@ the driver or executor, or, in the absence of that value, the number of cores av
 #### Server Configuration
 
 Server configurations are set in Spark Connect server, for example, when you start the Spark Connect server with `./sbin/start-connect-server.sh`.
-They are typically set via the config file and command-lineoptions with `--conf/-c`.
+They are typically set via the config file and command-line options with `--conf/-c`.
 
 <table class="table">
 <thead><tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr></thead>

From 1b36e3c4db41df9c6ec476db31f9cbec0d60ab6f Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 6 Feb 2024 14:54:45 +0800
Subject: [PATCH 576/986] [SPARK-46170][SQL][3.5] Support inject adaptive query
 post planner strategy rules in SparkSessionExtensions

This pr is backport https://github.com/apache/spark/pull/44074 for branch-3.5 since 3.5 is a lts version

### What changes were proposed in this pull request?

This pr adds a new extension entrance `queryPostPlannerStrategyRules` in `SparkSessionExtensions`. It will be applied between plannerStrategy and queryStagePrepRules in AQE, so it can get the whole plan before injecting exchanges.

### Why are the changes needed?

3.5 is a lts version

### Does this PR introduce _any_ user-facing change?

no, only for develop

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #44074 from ulysses-you/post-planner.

Authored-by: ulysses-you <ulyssesyou18gmail.com>

Closes #45037 from ulysses-you/SPARK-46170.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/SparkSessionExtensions.scala    | 21 ++++++++++
 .../adaptive/AdaptiveRulesHolder.scala        |  5 ++-
 .../adaptive/AdaptiveSparkPlanExec.scala      | 14 ++++++-
 .../internal/BaseSessionStateBuilder.scala    |  3 +-
 .../sql/SparkSessionExtensionSuite.scala      | 40 ++++++++++++++++++-
 5 files changed, 78 insertions(+), 5 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SparkSessionExtensions.scala b/sql/core/src/main/scala/org/apache/spark/sql/SparkSessionExtensions.scala
index b7c86ab7de6b4..677dba0082575 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SparkSessionExtensions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SparkSessionExtensions.scala
@@ -47,6 +47,7 @@ import org.apache.spark.sql.execution.{ColumnarRule, SparkPlan}
  * <li>Customized Parser.</li>
  * <li>(External) Catalog listeners.</li>
  * <li>Columnar Rules.</li>
+ * <li>Adaptive Query Post Planner Strategy Rules.</li>
  * <li>Adaptive Query Stage Preparation Rules.</li>
  * <li>Adaptive Query Execution Runtime Optimizer Rules.</li>
  * <li>Adaptive Query Stage Optimizer Rules.</li>
@@ -112,10 +113,13 @@ class SparkSessionExtensions {
   type FunctionDescription = (FunctionIdentifier, ExpressionInfo, FunctionBuilder)
   type TableFunctionDescription = (FunctionIdentifier, ExpressionInfo, TableFunctionBuilder)
   type ColumnarRuleBuilder = SparkSession => ColumnarRule
+  type QueryPostPlannerStrategyBuilder = SparkSession => Rule[SparkPlan]
   type QueryStagePrepRuleBuilder = SparkSession => Rule[SparkPlan]
   type QueryStageOptimizerRuleBuilder = SparkSession => Rule[SparkPlan]
 
   private[this] val columnarRuleBuilders = mutable.Buffer.empty[ColumnarRuleBuilder]
+  private[this] val queryPostPlannerStrategyRuleBuilders =
+    mutable.Buffer.empty[QueryPostPlannerStrategyBuilder]
   private[this] val queryStagePrepRuleBuilders = mutable.Buffer.empty[QueryStagePrepRuleBuilder]
   private[this] val runtimeOptimizerRules = mutable.Buffer.empty[RuleBuilder]
   private[this] val queryStageOptimizerRuleBuilders =
@@ -128,6 +132,14 @@ class SparkSessionExtensions {
     columnarRuleBuilders.map(_.apply(session)).toSeq
   }
 
+  /**
+   * Build the override rules for the query post planner strategy phase of adaptive query execution.
+   */
+  private[sql] def buildQueryPostPlannerStrategyRules(
+      session: SparkSession): Seq[Rule[SparkPlan]] = {
+    queryPostPlannerStrategyRuleBuilders.map(_.apply(session)).toSeq
+  }
+
   /**
    * Build the override rules for the query stage preparation phase of adaptive query execution.
    */
@@ -156,6 +168,15 @@ class SparkSessionExtensions {
     columnarRuleBuilders += builder
   }
 
+  /**
+   * Inject a rule that applied between `plannerStrategy` and `queryStagePrepRules`, so
+   * it can get the whole plan before injecting exchanges.
+   * Note, these rules can only be applied within AQE.
+   */
+  def injectQueryPostPlannerStrategyRule(builder: QueryPostPlannerStrategyBuilder): Unit = {
+    queryPostPlannerStrategyRuleBuilders += builder
+  }
+
   /**
    * Inject a rule that can override the query stage preparation phase of adaptive query
    * execution.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveRulesHolder.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveRulesHolder.scala
index 8391fe44f5598..ee2cd8a4953bb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveRulesHolder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveRulesHolder.scala
@@ -29,9 +29,12 @@ import org.apache.spark.sql.execution.SparkPlan
  *                              query stage
  * @param queryStageOptimizerRules applied to a new query stage before its execution. It makes sure
  *                                 all children query stages are materialized
+ * @param queryPostPlannerStrategyRules applied between `plannerStrategy` and `queryStagePrepRules`,
+ *                                      so it can get the whole plan before injecting exchanges.
  */
 class AdaptiveRulesHolder(
     val queryStagePrepRules: Seq[Rule[SparkPlan]],
     val runtimeOptimizerRules: Seq[Rule[LogicalPlan]],
-    val queryStageOptimizerRules: Seq[Rule[SparkPlan]]) {
+    val queryStageOptimizerRules: Seq[Rule[SparkPlan]],
+    val queryPostPlannerStrategyRules: Seq[Rule[SparkPlan]]) {
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
index fa671c8faf8b3..96b83a91cc739 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
@@ -193,9 +193,19 @@ case class AdaptiveSparkPlanExec(
     optimized
   }
 
+  private def applyQueryPostPlannerStrategyRules(plan: SparkPlan): SparkPlan = {
+    applyPhysicalRules(
+      plan,
+      context.session.sessionState.adaptiveRulesHolder.queryPostPlannerStrategyRules,
+      Some((planChangeLogger, "AQE Query Post Planner Strategy Rules"))
+    )
+  }
+
   @transient val initialPlan = context.session.withActive {
     applyPhysicalRules(
-      inputPlan, queryStagePreparationRules, Some((planChangeLogger, "AQE Preparations")))
+      applyQueryPostPlannerStrategyRules(inputPlan),
+      queryStagePreparationRules,
+      Some((planChangeLogger, "AQE Preparations")))
   }
 
   @volatile private var currentPhysicalPlan = initialPlan
@@ -706,7 +716,7 @@ case class AdaptiveSparkPlanExec(
       val optimized = optimizer.execute(logicalPlan)
       val sparkPlan = context.session.sessionState.planner.plan(ReturnAnswer(optimized)).next()
       val newPlan = applyPhysicalRules(
-        sparkPlan,
+        applyQueryPostPlannerStrategyRules(sparkPlan),
         preprocessingRules ++ queryStagePreparationRules,
         Some((planChangeLogger, "AQE Replanning")))
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/internal/BaseSessionStateBuilder.scala b/sql/core/src/main/scala/org/apache/spark/sql/internal/BaseSessionStateBuilder.scala
index 5543b409d1702..3a07dbf5480db 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/internal/BaseSessionStateBuilder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/internal/BaseSessionStateBuilder.scala
@@ -318,7 +318,8 @@ abstract class BaseSessionStateBuilder(
     new AdaptiveRulesHolder(
       extensions.buildQueryStagePrepRules(session),
       extensions.buildRuntimeOptimizerRules(session),
-      extensions.buildQueryStageOptimizerRules(session))
+      extensions.buildQueryStageOptimizerRules(session),
+      extensions.buildQueryPostPlannerStrategyRules(session))
   }
 
   protected def planNormalizationRules: Seq[Rule[LogicalPlan]] = {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
index 21518085ca4c5..8b4ac474f8753 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
@@ -29,15 +29,17 @@ import org.apache.spark.sql.catalyst.{FunctionIdentifier, InternalRow, TableIden
 import org.apache.spark.sql.catalyst.catalog.BucketSpec
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.expressions.aggregate.{Final, Partial}
 import org.apache.spark.sql.catalyst.parser.{CatalystSqlParser, ParserInterface}
 import org.apache.spark.sql.catalyst.plans.SQLHelper
 import org.apache.spark.sql.catalyst.plans.logical.{ColumnStat, Limit, LocalRelation, LogicalPlan, Statistics, UnresolvedHint}
-import org.apache.spark.sql.catalyst.plans.physical.Partitioning
+import org.apache.spark.sql.catalyst.plans.physical.{Partitioning, SinglePartition}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.TreeNodeTag
 import org.apache.spark.sql.connector.write.WriterCommitMessage
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AdaptiveSparkPlanHelper, AQEShuffleReadExec, QueryStageExec, ShuffleQueryStageExec}
+import org.apache.spark.sql.execution.aggregate.HashAggregateExec
 import org.apache.spark.sql.execution.datasources.{FileFormat, WriteFilesExec, WriteFilesSpec}
 import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, BroadcastExchangeLike, ShuffleExchangeExec, ShuffleExchangeLike, ShuffleOrigin}
 import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector
@@ -516,6 +518,31 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper with Adapt
       }
     }
   }
+
+  test("SPARK-46170: Support inject adaptive query post planner strategy rules in " +
+    "SparkSessionExtensions") {
+    val extensions = create { extensions =>
+      extensions.injectQueryPostPlannerStrategyRule(_ => MyQueryPostPlannerStrategyRule)
+    }
+    withSession(extensions) { session =>
+      assert(session.sessionState.adaptiveRulesHolder.queryPostPlannerStrategyRules
+        .contains(MyQueryPostPlannerStrategyRule))
+      import session.implicits._
+      withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "3",
+          SQLConf.COALESCE_PARTITIONS_ENABLED.key -> "false") {
+        val input = Seq(10, 20, 10).toDF("c1")
+        val df = input.groupBy("c1").count()
+        df.collect()
+        assert(df.rdd.partitions.length == 1)
+        assert(collectFirst(df.queryExecution.executedPlan) {
+          case s: ShuffleExchangeExec if s.outputPartitioning == SinglePartition => true
+        }.isDefined)
+        assert(collectFirst(df.queryExecution.executedPlan) {
+          case _: SortExec => true
+        }.isDefined)
+      }
+    }
+  }
 }
 
 case class MyRule(spark: SparkSession) extends Rule[LogicalPlan] {
@@ -1190,3 +1217,14 @@ object RequireAtLeaseTwoPartitions extends Rule[SparkPlan] {
     }
   }
 }
+
+object MyQueryPostPlannerStrategyRule extends Rule[SparkPlan] {
+  override def apply(plan: SparkPlan): SparkPlan = {
+    plan.transformUp {
+      case h: HashAggregateExec if h.aggregateExpressions.map(_.mode).contains(Partial) =>
+        ShuffleExchangeExec(SinglePartition, h)
+      case h: HashAggregateExec if h.aggregateExpressions.map(_.mode).contains(Final) =>
+        SortExec(h.groupingExpressions.map(k => SortOrder.apply(k, Ascending)), false, h)
+    }
+  }
+}

From 77f8b38a1091aa51af32dc790b61ae54ac47a2c2 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Thu, 8 Feb 2024 14:41:51 +0800
Subject: [PATCH 577/986] [SPARK-46400][CORE][SQL][3.5] When there are
 corrupted files in the local maven repo, skip this cache and try again

### What changes were proposed in this pull request?
The pr aims to
- fix potential bug(ie: https://github.com/apache/spark/pull/44208) and enhance user experience.
- make the code more compliant with standards

Backport above to branch 3.5.
Master branch pr: https://github.com/apache/spark/pull/44343

### Why are the changes needed?
We use the local maven repo as the first-level cache in ivy.  The original intention was to reduce the time required to parse and obtain the ar, but when there are corrupted files in the local maven repo,The above mechanism will be directly interrupted and the prompt is very unfriendly, which will greatly confuse the user.  Based on the original intention, we should skip the cache directly in similar situations.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #45017 from panbingkun/branch-3.5_SPARK-46400.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../org/apache/spark/deploy/SparkSubmit.scala | 116 ++++++++++++++----
 .../hive/client/IsolatedClientLoader.scala    |   4 +
 2 files changed, 98 insertions(+), 22 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index af35f451e3704..0f0d8b6c07c0a 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -41,7 +41,7 @@ import org.apache.ivy.Ivy
 import org.apache.ivy.core.LogOptions
 import org.apache.ivy.core.module.descriptor._
 import org.apache.ivy.core.module.id.{ArtifactId, ModuleId, ModuleRevisionId}
-import org.apache.ivy.core.report.ResolveReport
+import org.apache.ivy.core.report.{DownloadStatus, ResolveReport}
 import org.apache.ivy.core.resolve.ResolveOptions
 import org.apache.ivy.core.retrieve.RetrieveOptions
 import org.apache.ivy.core.settings.IvySettings
@@ -1226,7 +1226,7 @@ private[spark] object SparkSubmitUtils extends Logging {
         s"be whitespace. The artifactId provided is: ${splits(1)}")
       require(splits(2) != null && splits(2).trim.nonEmpty, s"The version cannot be null or " +
         s"be whitespace. The version provided is: ${splits(2)}")
-      new MavenCoordinate(splits(0), splits(1), splits(2))
+      MavenCoordinate(splits(0), splits(1), splits(2))
     }
   }
 
@@ -1241,21 +1241,27 @@ private[spark] object SparkSubmitUtils extends Logging {
   }
 
   /**
-   * Extracts maven coordinates from a comma-delimited string
+   * Create a ChainResolver used by Ivy to search for and resolve dependencies.
+   *
    * @param defaultIvyUserDir The default user path for Ivy
+   * @param useLocalM2AsCache Whether to use the local maven repo as a cache
    * @return A ChainResolver used by Ivy to search for and resolve dependencies.
    */
-  def createRepoResolvers(defaultIvyUserDir: File): ChainResolver = {
+  def createRepoResolvers(
+      defaultIvyUserDir: File,
+      useLocalM2AsCache: Boolean = true): ChainResolver = {
     // We need a chain resolver if we want to check multiple repositories
     val cr = new ChainResolver
     cr.setName("spark-list")
 
-    val localM2 = new IBiblioResolver
-    localM2.setM2compatible(true)
-    localM2.setRoot(m2Path.toURI.toString)
-    localM2.setUsepoms(true)
-    localM2.setName("local-m2-cache")
-    cr.add(localM2)
+    if (useLocalM2AsCache) {
+      val localM2 = new IBiblioResolver
+      localM2.setM2compatible(true)
+      localM2.setRoot(m2Path.toURI.toString)
+      localM2.setUsepoms(true)
+      localM2.setName("local-m2-cache")
+      cr.add(localM2)
+    }
 
     val localIvy = new FileSystemResolver
     val localIvyRoot = new File(defaultIvyUserDir, "local")
@@ -1351,18 +1357,23 @@ private[spark] object SparkSubmitUtils extends Logging {
 
   /**
    * Build Ivy Settings using options with default resolvers
+   *
    * @param remoteRepos Comma-delimited string of remote repositories other than maven central
    * @param ivyPath The path to the local ivy repository
+   * @param useLocalM2AsCache Whether or not use `local-m2 repo` as cache
    * @return An IvySettings object
    */
-  def buildIvySettings(remoteRepos: Option[String], ivyPath: Option[String]): IvySettings = {
+  def buildIvySettings(
+      remoteRepos: Option[String],
+      ivyPath: Option[String],
+      useLocalM2AsCache: Boolean = true): IvySettings = {
     val ivySettings: IvySettings = new IvySettings
     processIvyPathArg(ivySettings, ivyPath)
 
     // create a pattern matcher
     ivySettings.addMatcher(new GlobPatternMatcher)
     // create the dependency resolvers
-    val repoResolver = createRepoResolvers(ivySettings.getDefaultIvyUserDir)
+    val repoResolver = createRepoResolvers(ivySettings.getDefaultIvyUserDir, useLocalM2AsCache)
     ivySettings.addResolver(repoResolver)
     ivySettings.setDefaultResolver(repoResolver.getName)
     processRemoteRepoArg(ivySettings, remoteRepos)
@@ -1459,7 +1470,7 @@ private[spark] object SparkSubmitUtils extends Logging {
    */
   private def clearIvyResolutionFiles(
       mdId: ModuleRevisionId,
-      ivySettings: IvySettings,
+      defaultCacheFile: File,
       ivyConfName: String): Unit = {
     val currentResolutionFiles = Seq(
       s"${mdId.getOrganisation}-${mdId.getName}-$ivyConfName.xml",
@@ -1467,14 +1478,40 @@ private[spark] object SparkSubmitUtils extends Logging {
       s"resolved-${mdId.getOrganisation}-${mdId.getName}-${mdId.getRevision}.properties"
     )
     currentResolutionFiles.foreach { filename =>
-      new File(ivySettings.getDefaultCache, filename).delete()
+      new File(defaultCacheFile, filename).delete()
+    }
+  }
+
+  /**
+   * Clear invalid cache files in ivy. The cache file is usually at
+   * ~/.ivy2/cache/${groupId}/${artifactId}/ivy-${version}.xml,
+   * ~/.ivy2/cache/${groupId}/${artifactId}/ivy-${version}.xml.original, and
+   * ~/.ivy2/cache/${groupId}/${artifactId}/ivydata-${version}.properties.
+   * Because when using `local-m2` repo as a cache, some invalid files were created.
+   * If not deleted here, an error prompt similar to `unknown resolver local-m2-cache`
+   * will be generated, making some confusion for users.
+   */
+  private def clearInvalidIvyCacheFiles(
+      mdId: ModuleRevisionId,
+      defaultCacheFile: File): Unit = {
+    val cacheFiles = Seq(
+      s"${mdId.getOrganisation}${File.separator}${mdId.getName}${File.separator}" +
+        s"ivy-${mdId.getRevision}.xml",
+      s"${mdId.getOrganisation}${File.separator}${mdId.getName}${File.separator}" +
+        s"ivy-${mdId.getRevision}.xml.original",
+      s"${mdId.getOrganisation}${File.separator}${mdId.getName}${File.separator}" +
+        s"ivydata-${mdId.getRevision}.properties")
+    cacheFiles.foreach { filename =>
+      new File(defaultCacheFile, filename).delete()
     }
   }
 
   /**
    * Resolves any dependencies that were supplied through maven coordinates
+   *
    * @param coordinates Comma-delimited string of maven coordinates
    * @param ivySettings An IvySettings containing resolvers to use
+   * @param noCacheIvySettings An no-cache(local-m2-cache) IvySettings containing resolvers to use
    * @param transitive Whether resolving transitive dependencies, default is true
    * @param exclusions Exclusions to apply when resolving transitive dependencies
    * @return Seq of path to the jars of the given maven artifacts including their
@@ -1483,6 +1520,7 @@ private[spark] object SparkSubmitUtils extends Logging {
   def resolveMavenCoordinates(
       coordinates: String,
       ivySettings: IvySettings,
+      noCacheIvySettings: Option[IvySettings] = None,
       transitive: Boolean,
       exclusions: Seq[String] = Nil,
       isTest: Boolean = false): Seq[String] = {
@@ -1511,6 +1549,8 @@ private[spark] object SparkSubmitUtils extends Logging {
         // scalastyle:on println
 
         val ivy = Ivy.newInstance(ivySettings)
+        ivy.pushContext()
+
         // Set resolve options to download transitive dependencies as well
         val resolveOptions = new ResolveOptions
         resolveOptions.setTransitive(transitive)
@@ -1523,6 +1563,11 @@ private[spark] object SparkSubmitUtils extends Logging {
         } else {
           resolveOptions.setDownload(true)
         }
+        // retrieve all resolved dependencies
+        retrieveOptions.setDestArtifactPattern(
+          packagesDirectory.getAbsolutePath + File.separator +
+            "[organization]_[artifact]-[revision](-[classifier]).[ext]")
+        retrieveOptions.setConfs(Array(ivyConfName))
 
         // Add exclusion rules for Spark and Scala Library
         addExclusionRules(ivySettings, ivyConfName, md)
@@ -1534,17 +1579,44 @@ private[spark] object SparkSubmitUtils extends Logging {
         // resolve dependencies
         val rr: ResolveReport = ivy.resolve(md, resolveOptions)
         if (rr.hasError) {
-          throw new RuntimeException(rr.getAllProblemMessages.toString)
+          // SPARK-46302: When there are some corrupted jars in the local maven repo,
+          // we try to continue without the cache
+          val failedReports = rr.getArtifactsReports(DownloadStatus.FAILED, true)
+          if (failedReports.nonEmpty && noCacheIvySettings.isDefined) {
+            val failedArtifacts = failedReports.map(r => r.getArtifact)
+            logInfo(s"Download failed: ${failedArtifacts.mkString("[", ", ", "]")}, " +
+              s"attempt to retry while skipping local-m2-cache.")
+            failedArtifacts.foreach(artifact => {
+              clearInvalidIvyCacheFiles(artifact.getModuleRevisionId, ivySettings.getDefaultCache)
+            })
+            ivy.popContext()
+
+            val noCacheIvy = Ivy.newInstance(noCacheIvySettings.get)
+            noCacheIvy.pushContext()
+
+            val noCacheRr = noCacheIvy.resolve(md, resolveOptions)
+            if (noCacheRr.hasError) {
+              throw new RuntimeException(noCacheRr.getAllProblemMessages.toString)
+            }
+            noCacheIvy.retrieve(noCacheRr.getModuleDescriptor.getModuleRevisionId, retrieveOptions)
+            val dependencyPaths = resolveDependencyPaths(
+              noCacheRr.getArtifacts.toArray, packagesDirectory)
+            noCacheIvy.popContext()
+
+            dependencyPaths
+          } else {
+            throw new RuntimeException(rr.getAllProblemMessages.toString)
+          }
+        } else {
+          ivy.retrieve(rr.getModuleDescriptor.getModuleRevisionId, retrieveOptions)
+          val dependencyPaths = resolveDependencyPaths(rr.getArtifacts.toArray, packagesDirectory)
+          ivy.popContext()
+
+          dependencyPaths
         }
-        // retrieve all resolved dependencies
-        retrieveOptions.setDestArtifactPattern(packagesDirectory.getAbsolutePath + File.separator +
-          "[organization]_[artifact]-[revision](-[classifier]).[ext]")
-        ivy.retrieve(rr.getModuleDescriptor.getModuleRevisionId,
-          retrieveOptions.setConfs(Array(ivyConfName)))
-        resolveDependencyPaths(rr.getArtifacts.toArray, packagesDirectory)
       } finally {
         System.setOut(sysOut)
-        clearIvyResolutionFiles(md.getModuleRevisionId, ivySettings, ivyConfName)
+        clearIvyResolutionFiles(md.getModuleRevisionId, ivySettings.getDefaultCache, ivyConfName)
       }
     }
   }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
index a28a0464e6ee9..18090b53e3c10 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
@@ -139,6 +139,10 @@ private[hive] object IsolatedClientLoader extends Logging {
         SparkSubmitUtils.buildIvySettings(
           Some(remoteRepos),
           ivyPath),
+        Some(SparkSubmitUtils.buildIvySettings(
+          Some(remoteRepos),
+          ivyPath,
+          useLocalM2AsCache = false)),
         transitive = true,
         exclusions = version.exclusions)
     }

From 7658f77a613c91364c4b6c986e1861c7bd5487db Mon Sep 17 00:00:00 2001
From: Tigran Manasyan <t.manasyan@arenadata.io>
Date: Thu, 8 Feb 2024 20:29:09 +0800
Subject: [PATCH 578/986] [SPARK-39910][SQL] Delegate path qualification to
 filesystem during DataSource file path globbing

In current version `DataSource#checkAndGlobPathIfNecessary` qualifies paths via `Path#makeQualified` and `PartitioningAwareFileIndex` qualifies via `FileSystem#makeQualified`. Most `FileSystem` implementations simply delegate to `Path#makeQualified`, but others, like `HarFileSystem` contain fs-specific logic, that can produce different result. Such inconsistencies can lead to a situation, when spark can't find partitions of the source file, because qualified paths, built by `Path` and `FileSystem` are different. Therefore, for uniformity, the `FileSystem` path qualification should be used in `DataSource#checkAndGlobPathIfNecessary`.

Allow users to read files from hadoop archives (.har) using DataFrameReader API

No

New tests were added in `DataSourceSuite` and `DataFrameReaderWriterSuite`

No

Closes #43463 from tigrulya-exe/SPARK-39910-use-fs-path-qualification.

Authored-by: Tigran Manasyan <t.manasyan@arenadata.io>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit b7edc5fac0f4e479cbc869d54a9490c553ba2613)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 dev/.rat-excludes                                         | 1 +
 .../spark/sql/execution/datasources/DataSource.scala      | 2 +-
 .../src/test/resources/test-data/test-archive.har/_index  | 2 ++
 .../resources/test-data/test-archive.har/_masterindex     | 2 ++
 .../src/test/resources/test-data/test-archive.har/part-0  | 3 +++
 .../spark/sql/execution/datasources/DataSourceSuite.scala | 4 ++++
 .../spark/sql/test/DataFrameReaderWriterSuite.scala       | 8 ++++++++
 7 files changed, 21 insertions(+), 1 deletion(-)
 create mode 100644 sql/core/src/test/resources/test-data/test-archive.har/_index
 create mode 100644 sql/core/src/test/resources/test-data/test-archive.har/_masterindex
 create mode 100644 sql/core/src/test/resources/test-data/test-archive.har/part-0

diff --git a/dev/.rat-excludes b/dev/.rat-excludes
index 16e0e3e30c9e5..6bf840cee2831 100644
--- a/dev/.rat-excludes
+++ b/dev/.rat-excludes
@@ -145,3 +145,4 @@ empty.proto
 .*\.proto.bin
 LimitedInputStream.java
 TimSort.java
+.*\.har
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
index 94dd3bc0bd63e..2e24087d507bb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
@@ -722,7 +722,7 @@ object DataSource extends Logging {
     val qualifiedPaths = pathStrings.map { pathString =>
       val path = new Path(pathString)
       val fs = path.getFileSystem(hadoopConf)
-      path.makeQualified(fs.getUri, fs.getWorkingDirectory)
+      fs.makeQualified(path)
     }
 
     // Split the paths into glob and non glob paths, because we don't need to do an existence check
diff --git a/sql/core/src/test/resources/test-data/test-archive.har/_index b/sql/core/src/test/resources/test-data/test-archive.har/_index
new file mode 100644
index 0000000000000..b7ae3ef9c5a4c
--- /dev/null
+++ b/sql/core/src/test/resources/test-data/test-archive.har/_index
@@ -0,0 +1,2 @@
+%2F dir 1707380620211+493+tigrulya+hadoop 0 0 test.csv 
+%2Ftest.csv file part-0 0 6 1707380620197+420+tigrulya+hadoop 
diff --git a/sql/core/src/test/resources/test-data/test-archive.har/_masterindex b/sql/core/src/test/resources/test-data/test-archive.har/_masterindex
new file mode 100644
index 0000000000000..4192a9597299b
--- /dev/null
+++ b/sql/core/src/test/resources/test-data/test-archive.har/_masterindex
@@ -0,0 +1,2 @@
+3 
+0 1948547033 0 119 
diff --git a/sql/core/src/test/resources/test-data/test-archive.har/part-0 b/sql/core/src/test/resources/test-data/test-archive.har/part-0
new file mode 100644
index 0000000000000..01e79c32a8c99
--- /dev/null
+++ b/sql/core/src/test/resources/test-data/test-archive.har/part-0
@@ -0,0 +1,3 @@
+1
+2
+3
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceSuite.scala
index 06e570cb016b0..90b341ae1f2cd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceSuite.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.execution.datasources
 
+import java.net.URI
+
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.{FileStatus, Path, RawLocalFileSystem}
 import org.scalatest.PrivateMethodTester
@@ -214,4 +216,6 @@ class MockFileSystem extends RawLocalFileSystem {
   override def globStatus(pathPattern: Path): Array[FileStatus] = {
     mockGlobResults.getOrElse(pathPattern, Array())
   }
+
+  override def getUri: URI = URI.create("mockFs://mockFs/")
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
index 17348fe2dcbb5..b40f9210a686d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/DataFrameReaderWriterSuite.scala
@@ -1363,4 +1363,12 @@ class DataFrameReaderWriterSuite extends QueryTest with SharedSparkSession with
       }
     }
   }
+
+  test("SPARK-39910: read files from Hadoop archives") {
+    val fileSchema = new StructType().add("str", StringType)
+    val harPath = testFile("test-data/test-archive.har")
+      .replaceFirst("file:/", "har:/")
+
+    testRead(spark.read.schema(fileSchema).csv(s"$harPath/test.csv"), data, fileSchema)
+  }
 }

From 9700da7bfc1abb607f3cb916b96724d0fb8f2eba Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 11 Feb 2024 10:38:00 -0800
Subject: [PATCH 579/986] [SPARK-47021][BUILD][TESTS] Fix `kvstore` module to
 have explicit `commons-lang3` test dependency

### What changes were proposed in this pull request?

This PR aims to fix `kvstore` module by adding explicit `commons-lang3` test dependency and excluding `htmlunit-driver` from `org.scalatestplus` to use Apache Spark's explicit declaration.
https://github.com/apache/spark/blob/fa23d276e7e4ed94bf11d71f2e1daa22fe2238e5/pom.xml#L711-L716

### Why are the changes needed?

Since Spark 3.3.0 (SPARK-37282), `kvstore` uses `commons-lang3` test dependency like the following, but we didn't declare it explicitly so far.

https://github.com/apache/spark/blob/fa23d276e7e4ed94bf11d71f2e1daa22fe2238e5/common/kvstore/src/test/java/org/apache/spark/util/kvstore/LevelDBSuite.java#L33

https://github.com/apache/spark/blob/fa23d276e7e4ed94bf11d71f2e1daa22fe2238e5/common/kvstore/src/test/java/org/apache/spark/util/kvstore/LevelDBIteratorSuite.java#L23

Previously, it was provided by some unused `htmlunit-driver`'s transitive dependency accidentally. This causes a weird situation which `kvstore` module starts to fail to compile when we upgrade `htmlunit-driver`. We need to fix this first.

```
$ mvn dependency:tree -pl common/kvstore
...
[INFO] |  \- org.seleniumhq.selenium:htmlunit-driver:jar:4.12.0:test
...
[INFO] |        +- org.apache.commons:commons-lang3:jar:3.14.0:test
```

### Does this PR introduce _any_ user-facing change?

No. This is only a test dependency fix.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45080 from dongjoon-hyun/SPARK-47021.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit a926c7912a78f1a2fb71c5ffd21b5c2f723a0128)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 common/kvstore/pom.xml | 5 +++++
 pom.xml                | 6 ++++++
 2 files changed, 11 insertions(+)

diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 1b1a8d0066f89..7dece9de699ce 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -66,6 +66,11 @@
       <artifactId>commons-io</artifactId>
       <scope>test</scope>
     </dependency>
+    <dependency>
+      <groupId>org.apache.commons</groupId>
+      <artifactId>commons-lang3</artifactId>
+      <scope>test</scope>
+    </dependency>
 
     <dependency>
       <groupId>org.apache.logging.log4j</groupId>
diff --git a/pom.xml b/pom.xml
index 9e945f8d959a4..d0cfdaa1496ba 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1146,6 +1146,12 @@
         <artifactId>selenium-4-9_${scala.binary.version}</artifactId>
         <version>3.2.16.0</version>
         <scope>test</scope>
+        <exclusions>
+          <exclusion>
+            <groupId>org.seleniumhq.selenium</groupId>
+            <artifactId>htmlunit-driver</artifactId>
+          </exclusion>
+        </exclusions>
       </dependency>
       <dependency>
         <groupId>org.mockito</groupId>

From 4e4d9f07d0954357e85a6e2b0da47746a4b08501 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 11 Feb 2024 14:38:48 -0800
Subject: [PATCH 580/986] [SPARK-47022][CONNECT][TESTS][3.5] Fix
 `connect/client/jvm` to have explicit `commons-(io|lang3)` test dependency

### What changes were proposed in this pull request?

This PR aims to add `commons-io` and `commons-lang3` test dependency to `connector/client/jvm` module.

### Why are the changes needed?

`connector/client/jvm` module uses `commons-io` and `commons-lang3` during testing like the following.

https://github.com/apache/spark/blob/9700da7bfc1abb607f3cb916b96724d0fb8f2eba/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala#L26-L28

Currently, it's broken due to that.

- https://github.com/apache/spark/actions?query=branch%3Abranch-3.5

### Does this PR introduce _any_ user-facing change?

No, this is a test-dependency only change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45081 from dongjoon-hyun/SPARK-47022.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 connector/connect/client/jvm/pom.xml | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 236e5850b762f..0c0d4cdad3a99 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -71,6 +71,16 @@
       <version>${ammonite.version}</version>
       <scope>provided</scope>
     </dependency>
+    <dependency>
+      <groupId>commons-io</groupId>
+      <artifactId>commons-io</artifactId>
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>org.apache.commons</groupId>
+      <artifactId>commons-lang3</artifactId>
+      <scope>test</scope>
+    </dependency>
     <dependency>
       <groupId>org.scalacheck</groupId>
       <artifactId>scalacheck_${scala.binary.version}</artifactId>

From 08fe67b9ebf656b6ae7c44163bffba247061aa42 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan@apache.org>
Date: Mon, 12 Feb 2024 03:39:11 +0000
Subject: [PATCH 581/986] Preparing Spark release v3.5.1-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 2 +-
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index 45b68dd81cb9a..47b54729bbd2d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 7dece9de699ce..66e6bb473bf2f 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 54c10a05eed22..98897b4424ae0 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 92bf5bc07854b..44531ea54cd58 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3003927e713c1..8fcf20328e8e2 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 43982032a621d..901214de77c9b 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index a54382c0f4d03..6395454245ef1 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bea8f1ba87c57..bf116a6ff12e7 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 588fa3950dc5f..1e30bfe67b90f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c24ebad632940..bb2f0dcb77c18 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 0c0d4cdad3a99..91f041db33f61 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 40de7414051bd..0bbb54e88fc80 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.1</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 403255c543727..1cdb52febb19f 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 1bd6b8e7e4883..898e1f88c7783 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 69908e8bb4fb9..1fae402ec8ce1 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 72b6d7038b7e5..e67f01ec746fd 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e76f5d59d5048..e713aa6722075 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index d6a023392f87d..ed6ec5999c434 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 90a568d1c3d83..9abee84ece576 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 666f757996d7d..ee16104ab72e9 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 8021b78141ac4..177815cc60965 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index df3deb35a772b..2946329b983e6 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index eb4a563f1f31f..54a7e10040d9d 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index e346833722b93..ed8453f85ad5e 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1-SNAPSHOT
+SPARK_VERSION: 3.5.1
 SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
diff --git a/examples/pom.xml b/examples/pom.xml
index e85bc9ea02f8b..e9b064f0b1133 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 19d58f8c8b148..b315bea1d199e 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 2b19307862060..47e45c94a69a7 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 18ad615675b6e..8994319be472f 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0660631bb4a9d..3b99cbb4c55bd 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index e5948ba6eeff2..6dbc98c504985 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index d0cfdaa1496ba..3be31d8d58095 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1-SNAPSHOT</version>
+  <version>3.5.1</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 64ef604affff2..58d89619c9982 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1.dev0"
+__version__: str = "3.5.1"
diff --git a/repl/pom.xml b/repl/pom.xml
index 875d0455ee778..bff2cb1706d6d 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 39771c07ca549..95344f8de0156 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b420eda3eac5e..979ae610e6de2 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 4c2fc6ef28aa5..edc9c32f14259 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4d5cec6aba5c0..5a35b098b16ee 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 0763c5266a2df..b8db88db7a596 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1-SNAPSHOT</version>
+        <version>3.5.1</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index d7fc835fddbcb..49c96d93cb87e 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46c80ecff70b..c46ab7b8fce3a 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 3659a0f846a5e..736c9ca1a5e45 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index f833b6c34fa94..6c8089b237b04 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 75a98c050b5e0..799aba5ba029e 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 1805ba06c5b49..daef9687aac96 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From d27bdbeae9c5b634702ad20a58b9d3c68ac9d39d Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan@apache.org>
Date: Mon, 12 Feb 2024 03:39:15 +0000
Subject: [PATCH 582/986] Preparing development version 3.5.2-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 47b54729bbd2d..d1ef9b24afdac 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 66e6bb473bf2f..9df20f8facf5c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 98897b4424ae0..27a53b0f9f3bd 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 44531ea54cd58..93410815e6c05 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 8fcf20328e8e2..a99b8b96402a6 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 901214de77c9b..98bc41807a3b7 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 6395454245ef1..69cf167704742 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bf116a6ff12e7..92d0a7e0b55f1 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 1e30bfe67b90f..6f7419316c6f4 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index bb2f0dcb77c18..c8fc16cac01a3 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 91f041db33f61..53ff0b0147e01 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 0bbb54e88fc80..7ce0aa6615d3c 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1</version>
+        <version>3.5.2-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 1cdb52febb19f..724bad616f82c 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 898e1f88c7783..053c14d1d35c8 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 1fae402ec8ce1..a06ae2ba9ea94 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index e67f01ec746fd..29c5fb056b39f 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e713aa6722075..f96ad6f8efb85 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index ed6ec5999c434..fa950e028e95b 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 9abee84ece576..4dda8b4833423 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ee16104ab72e9..c8607c3a1ae96 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 177815cc60965..5152fb19f761e 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 2946329b983e6..c51636093f2ef 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 54a7e10040d9d..d5a46afdf17ae 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index ed8453f85ad5e..472bd73db0d3c 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.2-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e9b064f0b1133..bf1e79eea3bc3 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index b315bea1d199e..f55a607de2216 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 47e45c94a69a7..e6c704d74460a 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 8994319be472f..0833607007cb2 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 3b99cbb4c55bd..356d4c99c6720 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 6dbc98c504985..879354a6bce64 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 3be31d8d58095..52505e6e12002 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1</version>
+  <version>3.5.2-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 58d89619c9982..20ee673c93364 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1"
+__version__: str = "3.5.2.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index bff2cb1706d6d..f1769b2eff14c 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 95344f8de0156..5a46f78a60b8a 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 979ae610e6de2..58e4bb92f4409 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index edc9c32f14259..a62a3a6505e3f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 5a35b098b16ee..b432973d4386f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index b8db88db7a596..e6269f9654fb0 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1</version>
+        <version>3.5.2-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 49c96d93cb87e..6833f203b3fad 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46ab7b8fce3a..19826701fc137 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 736c9ca1a5e45..518e280ad2499 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 6c8089b237b04..bf5e8676ec158 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 799aba5ba029e..6d3f98bdd2674 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index daef9687aac96..d49f2b94cae78 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From a8c62d3f9a8de22f92e0e0ca1a5770f373b0b142 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 12 Feb 2024 10:37:49 -0800
Subject: [PATCH 583/986] [SPARK-47023][BUILD] Upgrade `aircompressor` to 1.26

This PR aims to upgrade `aircompressor` to 1.26.

`aircompressor` v1.26 has the following bug fixes.

- [Fix out of bounds read/write in Snappy decompressor](https://github.com/airlift/aircompressor/commit/b89db180bb97debe025b640dc40ed43816e8c7d2)
- [Fix ZstdOutputStream corruption on double close](https://github.com/airlift/aircompressor/commit/b89db180bb97debe025b640dc40ed43816e8c7d2)

No.

Pass the CIs.

No.

Closes #45084 from dongjoon-hyun/SPARK-47023.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 5 +++++
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 9ab51dfa011a2..c76702cd0af01 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -4,7 +4,7 @@ JTransforms/3.1//JTransforms-3.1.jar
 RoaringBitmap/0.9.45//RoaringBitmap-0.9.45.jar
 ST4/4.0.4//ST4-4.0.4.jar
 activation/1.1.1//activation-1.1.1.jar
-aircompressor/0.25//aircompressor-0.25.jar
+aircompressor/0.26//aircompressor-0.26.jar
 algebra_2.12/2.0.1//algebra_2.12-2.0.1.jar
 aliyun-java-sdk-core/4.5.10//aliyun-java-sdk-core-4.5.10.jar
 aliyun-java-sdk-kms/2.11.0//aliyun-java-sdk-kms-2.11.0.jar
diff --git a/pom.xml b/pom.xml
index 52505e6e12002..5db3c78e00eb8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -2555,6 +2555,11 @@
           </exclusion>
         </exclusions>
       </dependency>
+      <dependency>
+        <groupId>io.airlift</groupId>
+        <artifactId>aircompressor</artifactId>
+        <version>0.26</version>
+      </dependency>
       <dependency>
         <groupId>org.apache.orc</groupId>
         <artifactId>orc-mapreduce</artifactId>

From ea6b25767fb86732c108c759fd5393caee22f129 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 15 Feb 2024 09:20:57 +0900
Subject: [PATCH 584/986] Revert "[SPARK-45396][PYTHON] Add doc entry for
 `pyspark.ml.connect` module, and adds `Evaluator` to `__all__` at
 `ml.connect`"

This reverts commit 35b627a934b1ab28be7d6ba88fdad63dc129525a.
---
 python/docs/source/reference/index.rst        |   1 -
 .../source/reference/pyspark.ml.connect.rst   | 122 ------------------
 python/pyspark/ml/connect/__init__.py         |   3 +-
 3 files changed, 1 insertion(+), 125 deletions(-)
 delete mode 100644 python/docs/source/reference/pyspark.ml.connect.rst

diff --git a/python/docs/source/reference/index.rst b/python/docs/source/reference/index.rst
index 6330636839cdf..ed3eb4d07dac6 100644
--- a/python/docs/source/reference/index.rst
+++ b/python/docs/source/reference/index.rst
@@ -31,7 +31,6 @@ Pandas API on Spark follows the API specifications of latest pandas release.
    pyspark.pandas/index
    pyspark.ss/index
    pyspark.ml
-   pyspark.ml.connect
    pyspark.streaming
    pyspark.mllib
    pyspark
diff --git a/python/docs/source/reference/pyspark.ml.connect.rst b/python/docs/source/reference/pyspark.ml.connect.rst
deleted file mode 100644
index 1a3e6a593980f..0000000000000
--- a/python/docs/source/reference/pyspark.ml.connect.rst
+++ /dev/null
@@ -1,122 +0,0 @@
-..  Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-
-..    http://www.apache.org/licenses/LICENSE-2.0
-
-..  Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
-
-
-MLlib (DataFrame-based) for Spark Connect
-=========================================
-
-.. warning::
-    The namespace for this package can change in the future Spark version.
-
-
-Pipeline APIs
--------------
-
-.. currentmodule:: pyspark.ml.connect
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    Transformer
-    Estimator
-    Model
-    Evaluator
-    Pipeline
-    PipelineModel
-
-
-Feature
--------
-
-.. currentmodule:: pyspark.ml.connect.feature
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    MaxAbsScaler
-    MaxAbsScalerModel
-    StandardScaler
-    StandardScalerModel
-
-
-Classification
---------------
-
-.. currentmodule:: pyspark.ml.connect.classification
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    LogisticRegression
-    LogisticRegressionModel
-
-
-Functions
----------
-
-.. currentmodule:: pyspark.ml.connect.functions
-
-.. autosummary::
-    :toctree: api/
-
-    array_to_vector
-    vector_to_array
-
-
-Tuning
-------
-
-.. currentmodule:: pyspark.ml.connect.tuning
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    CrossValidator
-    CrossValidatorModel
-
-
-Evaluation
-----------
-
-.. currentmodule:: pyspark.ml.connect.evaluation
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    RegressionEvaluator
-    BinaryClassificationEvaluator
-    MulticlassClassificationEvaluator
-
-
-Utilities
----------
-
-.. currentmodule:: pyspark.ml.connect.io_utils
-
-.. autosummary::
-    :template: autosummary/class_with_docs.rst
-    :toctree: api/
-
-    ParamsReadWrite
-    CoreModelReadWrite
-    MetaAlgorithmReadWrite
-
diff --git a/python/pyspark/ml/connect/__init__.py b/python/pyspark/ml/connect/__init__.py
index e6115a62ccfe8..2ee152f6a38a3 100644
--- a/python/pyspark/ml/connect/__init__.py
+++ b/python/pyspark/ml/connect/__init__.py
@@ -28,14 +28,13 @@
     evaluation,
     tuning,
 )
-from pyspark.ml.connect.evaluation import Evaluator
 
 from pyspark.ml.connect.pipeline import Pipeline, PipelineModel
 
 __all__ = [
     "Estimator",
     "Transformer",
-    "Evaluator",
+    "Estimator",
     "Model",
     "feature",
     "evaluation",

From 9b4778fc1dc7047635c9ec19c187d4e75d182590 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Thu, 15 Feb 2024 14:49:09 +0900
Subject: [PATCH 585/986] [SPARK-46906][INFRA][3.5] Bump python libraries
 (pandas, pyarrow) in Docker image for release script

### What changes were proposed in this pull request?

This PR proposes to bump python libraries (pandas to 2.0.3, pyarrow to 4.0.0) in Docker image for release script.

### Why are the changes needed?

Without this change, release script (do-release-docker.sh) fails on docs phase. Changing this fixes the release process against branch-3.5.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Confirmed with dry-run of release script against branch-3.5.

`dev/create-release/do-release-docker.sh -d ~/spark-release -n -s docs`

```
Generating HTML files for SQL API documentation.
INFO    -  Cleaning site directory
INFO    -  Building documentation to directory: /opt/spark-rm/output/spark/sql/site
INFO    -  Documentation built in 0.85 seconds
/opt/spark-rm/output/spark/sql
Moving back into docs dir.
Making directory api/sql
cp -r ../sql/site/. api/sql
            Source: /opt/spark-rm/output/spark/docs
       Destination: /opt/spark-rm/output/spark/docs/_site
 Incremental build: disabled. Enable with --incremental
      Generating...
                    done in 7.469 seconds.
 Auto-regeneration: disabled. Use --watch to enable.
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45111 from HeartSaVioR/SPARK-46906-3.5.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 dev/create-release/spark-rm/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/create-release/spark-rm/Dockerfile b/dev/create-release/spark-rm/Dockerfile
index cd57226f5e017..789915d018def 100644
--- a/dev/create-release/spark-rm/Dockerfile
+++ b/dev/create-release/spark-rm/Dockerfile
@@ -42,7 +42,7 @@ ARG APT_INSTALL="apt-get install --no-install-recommends -y"
 #   We should use the latest Sphinx version once this is fixed.
 # TODO(SPARK-35375): Jinja2 3.0.0+ causes error when building with Sphinx.
 #   See also https://issues.apache.org/jira/browse/SPARK-35375.
-ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.8.0 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 sphinx-copybutton==0.5.2 pandas==1.5.3 pyarrow==3.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
+ARG PIP_PKGS="sphinx==3.0.4 mkdocs==1.1.2 numpy==1.20.3 pydata_sphinx_theme==0.8.0 ipython==7.19.0 nbsphinx==0.8.0 numpydoc==1.1.0 jinja2==2.11.3 twine==3.4.1 sphinx-plotly-directive==0.1.3 sphinx-copybutton==0.5.2 pandas==2.0.3 pyarrow==4.0.0 plotly==5.4.0 markupsafe==2.0.1 docutils<0.17 grpcio==1.56.0 protobuf==4.21.6 grpcio-status==1.56.0 googleapis-common-protos==1.56.4"
 ARG GEM_PKGS="bundler:2.3.8"
 
 # Install extra needed repos and refresh.

From fd86f85e181fc2dc0f50a096855acf83a6cc5d9c Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan@apache.org>
Date: Thu, 15 Feb 2024 10:56:47 +0000
Subject: [PATCH 586/986] Preparing Spark release v3.5.1-rc2

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..66faa8031c45d 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.1
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index d1ef9b24afdac..47b54729bbd2d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 9df20f8facf5c..66e6bb473bf2f 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 27a53b0f9f3bd..98897b4424ae0 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 93410815e6c05..44531ea54cd58 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index a99b8b96402a6..8fcf20328e8e2 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 98bc41807a3b7..901214de77c9b 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 69cf167704742..6395454245ef1 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 92d0a7e0b55f1..bf116a6ff12e7 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 6f7419316c6f4..1e30bfe67b90f 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c8fc16cac01a3..bb2f0dcb77c18 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 53ff0b0147e01..91f041db33f61 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 7ce0aa6615d3c..0bbb54e88fc80 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2-SNAPSHOT</version>
+        <version>3.5.1</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 724bad616f82c..1cdb52febb19f 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 053c14d1d35c8..898e1f88c7783 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index a06ae2ba9ea94..1fae402ec8ce1 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 29c5fb056b39f..e67f01ec746fd 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index f96ad6f8efb85..e713aa6722075 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index fa950e028e95b..ed6ec5999c434 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 4dda8b4833423..9abee84ece576 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index c8607c3a1ae96..ee16104ab72e9 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 5152fb19f761e..177815cc60965 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index c51636093f2ef..2946329b983e6 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d5a46afdf17ae..54a7e10040d9d 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 472bd73db0d3c..ed8453f85ad5e 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.1
+SPARK_VERSION_SHORT: 3.5.1
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.1"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index bf1e79eea3bc3..e9b064f0b1133 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index f55a607de2216..b315bea1d199e 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index e6c704d74460a..47e45c94a69a7 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 0833607007cb2..8994319be472f 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 356d4c99c6720..3b99cbb4c55bd 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 879354a6bce64..6dbc98c504985 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 5db3c78e00eb8..0f504dbee85be 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2-SNAPSHOT</version>
+  <version>3.5.1</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 20ee673c93364..58d89619c9982 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2.dev0"
+__version__: str = "3.5.1"
diff --git a/repl/pom.xml b/repl/pom.xml
index f1769b2eff14c..bff2cb1706d6d 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 5a46f78a60b8a..95344f8de0156 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 58e4bb92f4409..979ae610e6de2 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index a62a3a6505e3f..edc9c32f14259 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index b432973d4386f..5a35b098b16ee 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index e6269f9654fb0..b8db88db7a596 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2-SNAPSHOT</version>
+        <version>3.5.1</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 6833f203b3fad..49c96d93cb87e 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19826701fc137..c46ab7b8fce3a 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 518e280ad2499..736c9ca1a5e45 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index bf5e8676ec158..6c8089b237b04 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6d3f98bdd2674..799aba5ba029e 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index d49f2b94cae78..daef9687aac96 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.1</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From cacb6fa0868a8741cb67ef705375ac378adaeebb Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan@apache.org>
Date: Thu, 15 Feb 2024 10:56:51 +0000
Subject: [PATCH 587/986] Preparing development version 3.5.2-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 66faa8031c45d..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.1
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 47b54729bbd2d..d1ef9b24afdac 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 66e6bb473bf2f..9df20f8facf5c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 98897b4424ae0..27a53b0f9f3bd 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 44531ea54cd58..93410815e6c05 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 8fcf20328e8e2..a99b8b96402a6 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 901214de77c9b..98bc41807a3b7 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 6395454245ef1..69cf167704742 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index bf116a6ff12e7..92d0a7e0b55f1 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 1e30bfe67b90f..6f7419316c6f4 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index bb2f0dcb77c18..c8fc16cac01a3 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 91f041db33f61..53ff0b0147e01 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 0bbb54e88fc80..7ce0aa6615d3c 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1</version>
+        <version>3.5.2-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 1cdb52febb19f..724bad616f82c 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 898e1f88c7783..053c14d1d35c8 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 1fae402ec8ce1..a06ae2ba9ea94 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index e67f01ec746fd..29c5fb056b39f 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index e713aa6722075..f96ad6f8efb85 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index ed6ec5999c434..fa950e028e95b 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 9abee84ece576..4dda8b4833423 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ee16104ab72e9..c8607c3a1ae96 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 177815cc60965..5152fb19f761e 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 2946329b983e6..c51636093f2ef 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 54a7e10040d9d..d5a46afdf17ae 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index ed8453f85ad5e..472bd73db0d3c 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.1
-SPARK_VERSION_SHORT: 3.5.1
+SPARK_VERSION: 3.5.2-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.1"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index e9b064f0b1133..bf1e79eea3bc3 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index b315bea1d199e..f55a607de2216 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 47e45c94a69a7..e6c704d74460a 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 8994319be472f..0833607007cb2 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 3b99cbb4c55bd..356d4c99c6720 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 6dbc98c504985..879354a6bce64 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 0f504dbee85be..5db3c78e00eb8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.1</version>
+  <version>3.5.2-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 58d89619c9982..20ee673c93364 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.1"
+__version__: str = "3.5.2.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index bff2cb1706d6d..f1769b2eff14c 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 95344f8de0156..5a46f78a60b8a 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 979ae610e6de2..58e4bb92f4409 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index edc9c32f14259..a62a3a6505e3f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 5a35b098b16ee..b432973d4386f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index b8db88db7a596..e6269f9654fb0 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.1</version>
+        <version>3.5.2-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 49c96d93cb87e..6833f203b3fad 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index c46ab7b8fce3a..19826701fc137 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 736c9ca1a5e45..518e280ad2499 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 6c8089b237b04..bf5e8676ec158 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 799aba5ba029e..6d3f98bdd2674 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index daef9687aac96..d49f2b94cae78 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.1</version>
+    <version>3.5.2-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 1c1c5faa29dc649faf143fe2eea39ccf15862f85 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 16 Feb 2024 12:41:19 +0900
Subject: [PATCH 588/986] [SPARK-47068][PYTHON][TESTS] Recover -1 and 0 case
 for spark.sql.execution.arrow.maxRecordsPerBatch

This PR fixes the regression introduced by https://github.com/apache/spark/pull/36683.

```python
import pandas as pd
spark.conf.set("spark.sql.execution.arrow.pyspark.enabled", "true")
spark.conf.set("spark.sql.execution.arrow.maxRecordsPerBatch", 0)
spark.conf.set("spark.sql.execution.arrow.pyspark.fallback.enabled", False)
spark.createDataFrame(pd.DataFrame({'a': [123]})).toPandas()

spark.conf.set("spark.sql.execution.arrow.maxRecordsPerBatch", -1)
spark.createDataFrame(pd.DataFrame({'a': [123]})).toPandas()
```

**Before**

```
/.../spark/python/pyspark/sql/pandas/conversion.py:371: UserWarning: createDataFrame attempted Arrow optimization because 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the error below and will not continue because automatic fallback with 'spark.sql.execution.arrow.pyspark.fallback.enabled' has been set to false.
  range() arg 3 must not be zero
  warn(msg)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/.../spark/python/pyspark/sql/session.py", line 1483, in createDataFrame
    return super(SparkSession, self).createDataFrame(  # type: ignore[call-overload]
  File "/.../spark/python/pyspark/sql/pandas/conversion.py", line 351, in createDataFrame
    return self._create_from_pandas_with_arrow(data, schema, timezone)
  File "/.../spark/python/pyspark/sql/pandas/conversion.py", line 633, in _create_from_pandas_with_arrow
    pdf_slices = (pdf.iloc[start : start + step] for start in range(0, len(pdf), step))
ValueError: range() arg 3 must not be zero
```
```
Empty DataFrame
Columns: [a]
Index: []
```

**After**

```
     a
0  123
```

```
     a
0  123
```

It fixes a regerssion. This is a documented behaviour. It should be backported to branch-3.4 and branch-3.5.

Yes, it fixes a regression as described above.

Unittest was added.

No.

Closes #45132 from HyukjinKwon/SPARK-47068.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 3bb762dc032866cfb304019cba6db01125556c2f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/pandas/conversion.py |  1 +
 python/pyspark/sql/tests/test_arrow.py  | 10 ++++++++++
 2 files changed, 11 insertions(+)

diff --git a/python/pyspark/sql/pandas/conversion.py b/python/pyspark/sql/pandas/conversion.py
index 8664c4df73ed8..3643cafbb3baf 100644
--- a/python/pyspark/sql/pandas/conversion.py
+++ b/python/pyspark/sql/pandas/conversion.py
@@ -613,6 +613,7 @@ def _create_from_pandas_with_arrow(
 
         # Slice the DataFrame to be batched
         step = self._jconf.arrowMaxRecordsPerBatch()
+        step = step if step > 0 else len(pdf)
         pdf_slices = (pdf.iloc[start : start + step] for start in range(0, len(pdf), step))
 
         # Create list of Arrow (columns, arrow_type, spark_type) for serializer dump_stream
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 73b6067373b07..9e9a7d3ac9b03 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -1238,6 +1238,16 @@ class MyInheritedTuple(MyTuple):
             df = self.spark.createDataFrame([MyInheritedTuple(1, 2, MyInheritedTuple(1, 2, 3))])
             self.assertEqual(df.first(), Row(a=1, b=2, c=Row(a=1, b=2, c=3)))
 
+    def test_negative_and_zero_batch_size(self):
+        # SPARK-47068: Negative and zero value should work as unlimited batch size.
+        with self.sql_conf({"spark.sql.execution.arrow.maxRecordsPerBatch": 0}):
+            pdf = pd.DataFrame({"a": [123]})
+            assert_frame_equal(pdf, self.spark.createDataFrame(pdf).toPandas())
+
+        with self.sql_conf({"spark.sql.execution.arrow.maxRecordsPerBatch": -1}):
+            pdf = pd.DataFrame({"a": [123]})
+            assert_frame_equal(pdf, self.spark.createDataFrame(pdf).toPandas())
+
 
 @unittest.skipIf(
     not have_pandas or not have_pyarrow,

From c61d89aa94859e3b75409a71d48d4f1a023eceac Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 16 Feb 2024 09:20:11 -0800
Subject: [PATCH 589/986] [SPARK-45357][CONNECT][TESTS][3.5] Normalize
 `dataframeId` when comparing `CollectMetrics` in `SparkConnectProtoSuite`

### What changes were proposed in this pull request?
This PR add a new function `normalizeDataframeId` to sets the `dataframeId` to the constant 0 of `CollectMetrics`  before comparing `LogicalPlan` in the test case of `SparkConnectProtoSuite`.

### Why are the changes needed?
The test scenario in `SparkConnectProtoSuite` does not need to compare the `dataframeId` in `CollectMetrics`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Manually check

run

```
build/mvn clean install -pl connector/connect/server -am -DskipTests
build/mvn test -pl connector/connect/server
```

**Before**

```
- Test observe *** FAILED ***
  == FAIL: Plans do not match ===
  !CollectMetrics my_metric, [min(id#0) AS min_val#0, max(id#0) AS max_val#0, sum(id#0) AS sum(id)#0L], 0   CollectMetrics my_metric, [min(id#0) AS min_val#0, max(id#0) AS max_val#0, sum(id#0) AS sum(id)#0L], 53
   +- LocalRelation <empty>, [id#0, name#0]                                                                 +- LocalRelation <empty>, [id#0, name#0] (PlanTest.scala:179)
```

**After**

```
Run completed in 41 seconds, 631 milliseconds.
Total number of tests run: 882
Suites: completed 24, aborted 0
Tests: succeeded 882, failed 0, canceled 0, ignored 0, pending 0
All tests passed.
```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45141 from LuciferYang/SPARK-45357-35.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/connect/planner/SparkConnectProtoSuite.scala | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
index 0c12bf5e625a9..8bc4de8351248 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.{AnalysisException, Column, DataFrame, Observation,
 import org.apache.spark.sql.catalyst.analysis
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GenericInternalRow, UnsafeProjection}
 import org.apache.spark.sql.catalyst.plans.{FullOuter, Inner, LeftAnti, LeftOuter, LeftSemi, PlanTest, RightOuter}
-import org.apache.spark.sql.catalyst.plans.logical.{Distinct, LocalRelation, LogicalPlan}
+import org.apache.spark.sql.catalyst.plans.logical.{CollectMetrics, Distinct, LocalRelation, LogicalPlan}
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto
@@ -1067,7 +1067,10 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
 
   // Compares proto plan with LogicalPlan.
   private def comparePlans(connectPlan: proto.Relation, sparkPlan: LogicalPlan): Unit = {
+    def normalizeDataframeId(plan: LogicalPlan): LogicalPlan = plan transform {
+      case cm: CollectMetrics => cm.copy(dataframeId = 0)
+    }
     val connectAnalyzed = analyzePlan(transform(connectPlan))
-    comparePlans(connectAnalyzed, sparkPlan, false)
+    comparePlans(normalizeDataframeId(connectAnalyzed), normalizeDataframeId(sparkPlan), false)
   }
 }

From 5067447bf9a420b2f972a03351058ebfa61e0e41 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Fri, 16 Feb 2024 18:21:19 -0800
Subject: [PATCH 590/986] [SPARK-42285][DOC] Update Parquet data source doc on
 the timestamp_ntz inference option

### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/39856. The configuration changes should be reflected in the Parquet data source doc

### Why are the changes needed?

To fix doc
### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Preview:
<img width="1010" alt="image" src="https://github.com/apache/spark/assets/1097932/618df731-49ad-49e7-afa2-22381cb3bbef">

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45145 from gengliangwang/changeConfigName.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit dc2f2673a73ccde44b59cada00e95e869ad64c01)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/sql-data-sources-parquet.md | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/docs/sql-data-sources-parquet.md b/docs/sql-data-sources-parquet.md
index f49bbd7a9d042..707871e798026 100644
--- a/docs/sql-data-sources-parquet.md
+++ b/docs/sql-data-sources-parquet.md
@@ -616,14 +616,15 @@ Configuration of Parquet can be done using the `setConf` method on `SparkSession
   <td>3.3.0</td>
 </tr>
 <tr>
-  <td><code>spark.sql.parquet.timestampNTZ.enabled</code></td>
+  <td><code>spark.sql.parquet.inferTimestampNTZ.enabled</code></td>
   <td>true</td>
   <td>
-    Enables <code>TIMESTAMP_NTZ</code> support for Parquet reads and writes.
-    When enabled, <code>TIMESTAMP_NTZ</code> values are written as Parquet timestamp
-    columns with annotation isAdjustedToUTC = false and are inferred in a similar way.
-    When disabled, such values are read as <code>TIMESTAMP_LTZ</code> and have to be
-    converted to <code>TIMESTAMP_LTZ</code> for writes.
+    When enabled, Parquet timestamp columns with annotation <code>isAdjustedToUTC = false</code>
+    are inferred as TIMESTAMP_NTZ type during schema inference. Otherwise, all the Parquet
+    timestamp columns are inferred as TIMESTAMP_LTZ types. Note that Spark writes the
+    output schema into Parquet's footer metadata on file writing and leverages it on file
+    reading. Thus this configuration only affects the schema inference on Parquet files
+    which are not written by Spark.
   </td>
   <td>3.4.0</td>
 </tr>

From 93a09ea279e6bd2515ced66d8f38053e4a5514ce Mon Sep 17 00:00:00 2001
From: Max Gekk <max.gekk@gmail.com>
Date: Mon, 19 Feb 2024 10:29:08 +0300
Subject: [PATCH 591/986] [SPARK-47072][SQL][3.5] Fix supported interval
 formats in error messages

### What changes were proposed in this pull request?
In the PR, I propose to add one more field to keys of `supportedFormat` in `IntervalUtils` because current implementation has duplicate keys that overwrites each other. For instance, the following keys are the same:
```
(YM.YEAR, YM.MONTH)
...
(DT.DAY, DT.HOUR)
```
because `YM.YEAR = DT.DAY = 0` and `YM.MONTH = DT.HOUR = 1`.

This is a backport of https://github.com/apache/spark/pull/45127.

### Why are the changes needed?
To fix the incorrect error message when Spark cannot parse ANSI interval string. For example, the expected format should be some year-month format but Spark outputs day-time one:
```sql
spark-sql (default)> select interval '-\t2-2\t' year to month;

Interval string does not match year-month format of `[+|-]d h`, `INTERVAL [+|-]'[+|-]d h' DAY TO HOUR` when cast to interval year to month: -	2-2	. (line 1, pos 16)

== SQL ==
select interval '-\t2-2\t' year to month
----------------^^^
```

### Does this PR introduce _any_ user-facing change?
Yes.

### How was this patch tested?
By running the existing test suite:
```
$ build/sbt "test:testOnly *IntervalUtilsSuite"
```
and regenerating the golden files:
```
$ SPARK_GENERATE_GOLDEN_FILES=1 PYSPARK_PYTHON=python3 build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite"
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Authored-by: Max Gekk <max.gekkgmail.com>
(cherry picked from commit 074fcf2807000d342831379de0fafc1e49a6bf19)

Closes #45139 from MaxGekk/fix-supportedFormat-3.5.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../sql/catalyst/util/IntervalUtils.scala     | 33 +++++++++++--------
 .../catalyst/expressions/CastSuiteBase.scala  |  8 ++---
 .../analyzer-results/ansi/interval.sql.out    |  2 +-
 .../analyzer-results/interval.sql.out         |  2 +-
 .../sql-tests/results/ansi/interval.sql.out   |  2 +-
 .../sql-tests/results/interval.sql.out        |  2 +-
 6 files changed, 27 insertions(+), 22 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
index e051cfc37f12d..4d90007400ea7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
@@ -107,25 +107,30 @@ object IntervalUtils extends SparkIntervalUtils {
       fallBackNotice: Option[String] = None) = {
     throw new IllegalArgumentException(
       s"Interval string does not match $intervalStr format of " +
-        s"${supportedFormat((startFiled, endField)).map(format => s"`$format`").mkString(", ")} " +
+        s"${supportedFormat((intervalStr, startFiled, endField))
+          .map(format => s"`$format`").mkString(", ")} " +
         s"when cast to $typeName: ${input.toString}" +
         s"${fallBackNotice.map(s => s", $s").getOrElse("")}")
   }
 
   val supportedFormat = Map(
-    (YM.YEAR, YM.MONTH) -> Seq("[+|-]y-m", "INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH"),
-    (YM.YEAR, YM.YEAR) -> Seq("[+|-]y", "INTERVAL [+|-]'[+|-]y' YEAR"),
-    (YM.MONTH, YM.MONTH) -> Seq("[+|-]m", "INTERVAL [+|-]'[+|-]m' MONTH"),
-    (DT.DAY, DT.DAY) -> Seq("[+|-]d", "INTERVAL [+|-]'[+|-]d' DAY"),
-    (DT.DAY, DT.HOUR) -> Seq("[+|-]d h", "INTERVAL [+|-]'[+|-]d h' DAY TO HOUR"),
-    (DT.DAY, DT.MINUTE) -> Seq("[+|-]d h:m", "INTERVAL [+|-]'[+|-]d h:m' DAY TO MINUTE"),
-    (DT.DAY, DT.SECOND) -> Seq("[+|-]d h:m:s.n", "INTERVAL [+|-]'[+|-]d h:m:s.n' DAY TO SECOND"),
-    (DT.HOUR, DT.HOUR) -> Seq("[+|-]h", "INTERVAL [+|-]'[+|-]h' HOUR"),
-    (DT.HOUR, DT.MINUTE) -> Seq("[+|-]h:m", "INTERVAL [+|-]'[+|-]h:m' HOUR TO MINUTE"),
-    (DT.HOUR, DT.SECOND) -> Seq("[+|-]h:m:s.n", "INTERVAL [+|-]'[+|-]h:m:s.n' HOUR TO SECOND"),
-    (DT.MINUTE, DT.MINUTE) -> Seq("[+|-]m", "INTERVAL [+|-]'[+|-]m' MINUTE"),
-    (DT.MINUTE, DT.SECOND) -> Seq("[+|-]m:s.n", "INTERVAL [+|-]'[+|-]m:s.n' MINUTE TO SECOND"),
-    (DT.SECOND, DT.SECOND) -> Seq("[+|-]s.n", "INTERVAL [+|-]'[+|-]s.n' SECOND")
+    ("year-month", YM.YEAR, YM.MONTH) -> Seq("[+|-]y-m", "INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH"),
+    ("year-month", YM.YEAR, YM.YEAR) -> Seq("[+|-]y", "INTERVAL [+|-]'[+|-]y' YEAR"),
+    ("year-month", YM.MONTH, YM.MONTH) -> Seq("[+|-]m", "INTERVAL [+|-]'[+|-]m' MONTH"),
+    ("day-time", DT.DAY, DT.DAY) -> Seq("[+|-]d", "INTERVAL [+|-]'[+|-]d' DAY"),
+    ("day-time", DT.DAY, DT.HOUR) -> Seq("[+|-]d h", "INTERVAL [+|-]'[+|-]d h' DAY TO HOUR"),
+    ("day-time", DT.DAY, DT.MINUTE) ->
+      Seq("[+|-]d h:m", "INTERVAL [+|-]'[+|-]d h:m' DAY TO MINUTE"),
+    ("day-time", DT.DAY, DT.SECOND) ->
+      Seq("[+|-]d h:m:s.n", "INTERVAL [+|-]'[+|-]d h:m:s.n' DAY TO SECOND"),
+    ("day-time", DT.HOUR, DT.HOUR) -> Seq("[+|-]h", "INTERVAL [+|-]'[+|-]h' HOUR"),
+    ("day-time", DT.HOUR, DT.MINUTE) -> Seq("[+|-]h:m", "INTERVAL [+|-]'[+|-]h:m' HOUR TO MINUTE"),
+    ("day-time", DT.HOUR, DT.SECOND) ->
+      Seq("[+|-]h:m:s.n", "INTERVAL [+|-]'[+|-]h:m:s.n' HOUR TO SECOND"),
+    ("day-time", DT.MINUTE, DT.MINUTE) -> Seq("[+|-]m", "INTERVAL [+|-]'[+|-]m' MINUTE"),
+    ("day-time", DT.MINUTE, DT.SECOND) ->
+      Seq("[+|-]m:s.n", "INTERVAL [+|-]'[+|-]m:s.n' MINUTE TO SECOND"),
+    ("day-time", DT.SECOND, DT.SECOND) -> Seq("[+|-]s.n", "INTERVAL [+|-]'[+|-]s.n' SECOND")
   )
 
   def castStringToYMInterval(
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
index 1ce311a5544fa..4352d5bc9c6bb 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuiteBase.scala
@@ -1174,7 +1174,7 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
     Seq("INTERVAL '1-1' YEAR", "INTERVAL '1-1' MONTH").foreach { interval =>
       val dataType = YearMonthIntervalType()
       val expectedMsg = s"Interval string does not match year-month format of " +
-        s"${IntervalUtils.supportedFormat((dataType.startField, dataType.endField))
+        s"${IntervalUtils.supportedFormat(("year-month", dataType.startField, dataType.endField))
           .map(format => s"`$format`").mkString(", ")} " +
         s"when cast to ${dataType.typeName}: $interval"
       checkExceptionInExpression[IllegalArgumentException](
@@ -1194,7 +1194,7 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
       ("INTERVAL '1' MONTH", YearMonthIntervalType(YEAR, MONTH)))
       .foreach { case (interval, dataType) =>
         val expectedMsg = s"Interval string does not match year-month format of " +
-          s"${IntervalUtils.supportedFormat((dataType.startField, dataType.endField))
+          s"${IntervalUtils.supportedFormat(("year-month", dataType.startField, dataType.endField))
             .map(format => s"`$format`").mkString(", ")} " +
           s"when cast to ${dataType.typeName}: $interval"
         checkExceptionInExpression[IllegalArgumentException](
@@ -1314,7 +1314,7 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
       ("1.23", DayTimeIntervalType(MINUTE)))
       .foreach { case (interval, dataType) =>
         val expectedMsg = s"Interval string does not match day-time format of " +
-          s"${IntervalUtils.supportedFormat((dataType.startField, dataType.endField))
+          s"${IntervalUtils.supportedFormat(("day-time", dataType.startField, dataType.endField))
             .map(format => s"`$format`").mkString(", ")} " +
           s"when cast to ${dataType.typeName}: $interval, " +
           s"set ${SQLConf.LEGACY_FROM_DAYTIME_STRING.key} to true " +
@@ -1338,7 +1338,7 @@ abstract class CastSuiteBase extends SparkFunSuite with ExpressionEvalHelper {
       ("INTERVAL '92233720368541.775807' SECOND", DayTimeIntervalType(SECOND)))
       .foreach { case (interval, dataType) =>
         val expectedMsg = "Interval string does not match day-time format of " +
-          s"${IntervalUtils.supportedFormat((dataType.startField, dataType.endField))
+          s"${IntervalUtils.supportedFormat(("day-time", dataType.startField, dataType.endField))
             .map(format => s"`$format`").mkString(", ")} " +
           s"when cast to ${dataType.typeName}: $interval, " +
           s"set ${SQLConf.LEGACY_FROM_DAYTIME_STRING.key} to true " +
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
index 1120c40ac15c4..2e2a07beb7176 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/interval.sql.out
@@ -1916,7 +1916,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_0063",
   "messageParameters" : {
-    "msg" : "Interval string does not match year-month format of `[+|-]d h`, `INTERVAL [+|-]'[+|-]d h' DAY TO HOUR` when cast to interval year to month: -\t2-2\t"
+    "msg" : "Interval string does not match year-month format of `[+|-]y-m`, `INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH` when cast to interval year to month: -\t2-2\t"
   },
   "queryContext" : [ {
     "objectType" : "",
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
index 337edd5980c39..6242dc142eabb 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/interval.sql.out
@@ -1916,7 +1916,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_0063",
   "messageParameters" : {
-    "msg" : "Interval string does not match year-month format of `[+|-]d h`, `INTERVAL [+|-]'[+|-]d h' DAY TO HOUR` when cast to interval year to month: -\t2-2\t"
+    "msg" : "Interval string does not match year-month format of `[+|-]y-m`, `INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH` when cast to interval year to month: -\t2-2\t"
   },
   "queryContext" : [ {
     "objectType" : "",
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
index 9eb4a4766df89..b0d128e967a6d 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
@@ -2355,7 +2355,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_0063",
   "messageParameters" : {
-    "msg" : "Interval string does not match year-month format of `[+|-]d h`, `INTERVAL [+|-]'[+|-]d h' DAY TO HOUR` when cast to interval year to month: -\t2-2\t"
+    "msg" : "Interval string does not match year-month format of `[+|-]y-m`, `INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH` when cast to interval year to month: -\t2-2\t"
   },
   "queryContext" : [ {
     "objectType" : "",
diff --git a/sql/core/src/test/resources/sql-tests/results/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
index fe15ade941785..faba4abfdbe7d 100644
--- a/sql/core/src/test/resources/sql-tests/results/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
@@ -2168,7 +2168,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 {
   "errorClass" : "_LEGACY_ERROR_TEMP_0063",
   "messageParameters" : {
-    "msg" : "Interval string does not match year-month format of `[+|-]d h`, `INTERVAL [+|-]'[+|-]d h' DAY TO HOUR` when cast to interval year to month: -\t2-2\t"
+    "msg" : "Interval string does not match year-month format of `[+|-]y-m`, `INTERVAL [+|-]'[+|-]y-m' YEAR TO MONTH` when cast to interval year to month: -\t2-2\t"
   },
   "queryContext" : [ {
     "objectType" : "",

From 92a333ada7c56b6f3dacffc18010880e37e66ee2 Mon Sep 17 00:00:00 2001
From: Izek Greenfield <izek.greenfield@adenza.com>
Date: Tue, 20 Feb 2024 12:39:24 -0800
Subject: [PATCH 592/986] [SPARK-47085][SQL][3.5] reduce the complexity of
 toTRowSet from n^2 to n

### What changes were proposed in this pull request?
reduce the complexity of RowSetUtils.toTRowSet from n^2 to n

### Why are the changes needed?
This causes performance issues.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Tests + test manually on AWS EMR

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45165 from igreenfield/branch-3.5.

Authored-by: Izek Greenfield <izek.greenfield@adenza.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/hive/thriftserver/RowSetUtils.scala  | 14 ++++----------
 .../SparkExecuteStatementOperation.scala           |  2 +-
 2 files changed, 5 insertions(+), 11 deletions(-)

diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
index 9625021f392cb..047f0612898d9 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
@@ -52,11 +52,7 @@ object RowSetUtils {
       rows: Seq[Row],
       schema: Array[DataType],
       timeFormatters: TimeFormatters): TRowSet = {
-    var i = 0
-    val rowSize = rows.length
-    val tRows = new java.util.ArrayList[TRow](rowSize)
-    while (i < rowSize) {
-      val row = rows(i)
+    val tRows = rows.map { row =>
       val tRow = new TRow()
       var j = 0
       val columnSize = row.length
@@ -65,9 +61,8 @@ object RowSetUtils {
         tRow.addToColVals(columnValue)
         j += 1
       }
-      i += 1
-      tRows.add(tRow)
-    }
+      tRow
+    }.asJava
     new TRowSet(startRowOffSet, tRows)
   }
 
@@ -159,8 +154,7 @@ object RowSetUtils {
     val size = rows.length
     val ret = new java.util.ArrayList[T](size)
     var idx = 0
-    while (idx < size) {
-      val row = rows(idx)
+    rows.foreach { row =>
       if (row.isNullAt(ordinal)) {
         nulls.set(idx, true)
         ret.add(idx, defaultVal)
diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
index a9b46739fa665..e6b4c70bb395b 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
@@ -114,7 +114,7 @@ private[hive] class SparkExecuteStatementOperation(
     val offset = iter.getPosition
     val rows = iter.take(maxRows).toList
     log.debug(s"Returning result set with ${rows.length} rows from offsets " +
-      s"[${iter.getFetchStart}, ${offset}) with $statementId")
+      s"[${iter.getFetchStart}, ${iter.getPosition}) with $statementId")
     RowSetUtils.toTRowSet(offset, rows, dataTypes, getProtocolVersion, getTimeFormatters)
   }
 

From 3f4425b4880dfe3e494a894da18b412ecdba4fb1 Mon Sep 17 00:00:00 2001
From: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Date: Thu, 22 Feb 2024 10:59:15 +0900
Subject: [PATCH 593/986] [SPARK-47036][SS][3.5] Cleanup RocksDB file tracking
 for previously uploaded files if files were deleted from local directory
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Backports PR https://github.com/apache/spark/pull/45092 to Spark 3.5

### What changes were proposed in this pull request?

This change cleans up any dangling files tracked as being previously uploaded if they were cleaned up from the filesystem. The cleaning can happen due to a compaction racing in parallel with commit, where compaction completes after commit and a older version is loaded on the same executor.

### Why are the changes needed?

The changes are needed to prevent RocksDB versionId mismatch errors (which require users to clean the checkpoint directory and retry the query).

A particular scenario where this can happen is provided below:

1. Version V1 is loaded on executor A, RocksDB State Store has 195.sst, 196.sst, 197.sst and 198.sst files.
2. State changes are made, which result in creation of a new table file 200.sst.
3. State store is committed as version V2. The SST file 200.sst (as 000200-8c80161a-bc23-4e3b-b175-cffe38e427c7.sst) is uploaded to DFS, and previous 4 files are reused. A new metadata file is created to track the exact SST files with unique IDs, and uploaded with RocksDB Manifest as part of V1.zip.
4. Rocks DB compaction is triggered at the same time. The compaction creates a new L1 file (201.sst), and deletes existing 5 SST files.
5. Spark Stage is retried.
6. Version V1 is reloaded on the same executor. The local files are inspected, and 201.sst is deleted. The 4 SST files in version V1 are downloaded again to local file system.
7. Any local files which are deleted (as part of version load) are also removed from local → DFS file upload tracking. **However, the files already deleted as a result of compaction are not removed from tracking. This is the bug which resulted in the failure.**
8. State store is committed as version V1. However, the local mapping of SST files to DFS file path still has 200.sst in its tracking, hence the SST file is not re-uploaded. A new metadata file is created to track the exact SST files with unique IDs, and uploaded with the new RocksDB Manifest as part of V2.zip. (The V2.zip file is overwritten here atomically)
9. A new executor tried to load version V2. However, the SST files in (1) are now incompatible with Manifest file in (6) resulting in the version Id mismatch failure.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added unit test cases to cover the scenario where some files were deleted on the file system.

The test case fails with the existing master with error `Mismatch in unique ID on table file 16`, and is successful with changes in this PR.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45206 from sahnib/spark-3.5-rocks-db-fix.

Authored-by: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../streaming/state/RocksDBFileManager.scala  | 41 ++++++---
 .../streaming/state/RocksDBSuite.scala        | 91 ++++++++++++++++++-
 2 files changed, 119 insertions(+), 13 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
index 300a3b8137b4c..3089de7127e77 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
@@ -496,16 +496,12 @@ class RocksDBFileManager(
       s" DFS for version $version. $filesReused files reused without copying.")
     versionToRocksDBFiles.put(version, immutableFiles)
 
-    // clean up deleted SST files from the localFilesToDfsFiles Map
-    val currentLocalFiles = localFiles.map(_.getName).toSet
-    val mappingsToClean = localFilesToDfsFiles.asScala
-      .keys
-      .filterNot(currentLocalFiles.contains)
-
-    mappingsToClean.foreach { f =>
-      logInfo(s"cleaning $f from the localFilesToDfsFiles map")
-      localFilesToDfsFiles.remove(f)
-    }
+    // Cleanup locally deleted files from the localFilesToDfsFiles map
+    // Locally, SST Files can be deleted due to RocksDB compaction. These files need
+    // to be removed rom the localFilesToDfsFiles map to ensure that if a older version
+    // regenerates them and overwrites the version.zip, SST files from the conflicting
+    // version (previously committed) are not reused.
+    removeLocallyDeletedSSTFilesFromDfsMapping(localFiles)
 
     saveCheckpointMetrics = RocksDBFileManagerMetrics(
       bytesCopied = bytesCopied,
@@ -523,8 +519,18 @@ class RocksDBFileManager(
   private def loadImmutableFilesFromDfs(
       immutableFiles: Seq[RocksDBImmutableFile], localDir: File): Unit = {
     val requiredFileNameToFileDetails = immutableFiles.map(f => f.localFileName -> f).toMap
+
+    val localImmutableFiles = listRocksDBFiles(localDir)._1
+
+    // Cleanup locally deleted files from the localFilesToDfsFiles map
+    // Locally, SST Files can be deleted due to RocksDB compaction. These files need
+    // to be removed rom the localFilesToDfsFiles map to ensure that if a older version
+    // regenerates them and overwrites the version.zip, SST files from the conflicting
+    // version (previously committed) are not reused.
+    removeLocallyDeletedSSTFilesFromDfsMapping(localImmutableFiles)
+
     // Delete unnecessary local immutable files
-    listRocksDBFiles(localDir)._1
+    localImmutableFiles
       .foreach { existingFile =>
         val requiredFile = requiredFileNameToFileDetails.get(existingFile.getName)
         val prevDfsFile = localFilesToDfsFiles.asScala.get(existingFile.getName)
@@ -582,6 +588,19 @@ class RocksDBFileManager(
       filesReused = filesReused)
   }
 
+  private def removeLocallyDeletedSSTFilesFromDfsMapping(localFiles: Seq[File]): Unit = {
+    // clean up deleted SST files from the localFilesToDfsFiles Map
+    val currentLocalFiles = localFiles.map(_.getName).toSet
+    val mappingsToClean = localFilesToDfsFiles.asScala
+      .keys
+      .filterNot(currentLocalFiles.contains)
+
+    mappingsToClean.foreach { f =>
+      logInfo(s"cleaning $f from the localFilesToDfsFiles map")
+      localFilesToDfsFiles.remove(f)
+    }
+  }
+
   /** Get the SST files required for a version from the version zip file in DFS */
   private def getImmutableFilesFromVersionZip(version: Long): Seq[RocksDBImmutableFile] = {
     Utils.deleteRecursively(localTempDir)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
index 04b11dfe43f0c..16bfe2359f437 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.streaming.state
 import java.io._
 import java.nio.charset.Charset
 
+import scala.collection.mutable
 import scala.language.implicitConversions
 
 import org.apache.commons.io.FileUtils
@@ -1452,6 +1453,88 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  test("ensure local files deleted on filesystem" +
+    " are cleaned from dfs file mapping") {
+    def getSSTFiles(dir: File): Set[File] = {
+      val sstFiles = new mutable.HashSet[File]()
+      dir.listFiles().foreach { f =>
+        if (f.isDirectory) {
+          sstFiles ++= getSSTFiles(f)
+        } else {
+          if (f.getName.endsWith(".sst")) {
+            sstFiles.add(f)
+          }
+        }
+      }
+      sstFiles.toSet
+    }
+
+    def filterAndDeleteSSTFiles(dir: File, filesToKeep: Set[File]): Unit = {
+      dir.listFiles().foreach { f =>
+        if (f.isDirectory) {
+          filterAndDeleteSSTFiles(f, filesToKeep)
+        } else {
+          if (!filesToKeep.contains(f) && f.getName.endsWith(".sst")) {
+            logInfo(s"deleting ${f.getAbsolutePath} from local directory")
+            f.delete()
+          }
+        }
+      }
+    }
+
+    withTempDir { dir =>
+      withTempDir { localDir =>
+        val sqlConf = new SQLConf()
+        val dbConf = RocksDBConf(StateStoreConf(sqlConf))
+        logInfo(s"config set to ${dbConf.compactOnCommit}")
+        val hadoopConf = new Configuration()
+        val remoteDir = dir.getCanonicalPath
+        withDB(remoteDir = remoteDir,
+          conf = dbConf,
+          hadoopConf = hadoopConf,
+          localDir = localDir) { db =>
+          db.load(0)
+          db.put("a", "1")
+          db.put("b", "1")
+          db.commit()
+          db.doMaintenance()
+
+          // find all SST files written in version 1
+          val sstFiles = getSSTFiles(localDir)
+
+          // make more commits, this would generate more SST files and write
+          // them to remoteDir
+          for (version <- 1 to 10) {
+            db.load(version)
+            db.put("c", "1")
+            db.put("d", "1")
+            db.commit()
+            db.doMaintenance()
+          }
+
+          // clean the SST files committed after version 1 from local
+          // filesystem. This is similar to what a process like compaction
+          // where multiple L0 SST files can be merged into a single L1 file
+          filterAndDeleteSSTFiles(localDir, sstFiles)
+
+          // reload 2, and overwrite commit for version 3, this should not
+          // reuse any locally deleted files as they should be removed from the mapping
+          db.load(2)
+          db.put("e", "1")
+          db.put("f", "1")
+          db.commit()
+          db.doMaintenance()
+
+          // clean local state
+          db.load(0)
+
+          // reload version 3, should be successful
+          db.load(3)
+        }
+      }
+    }
+  }
+
   private def sqlConf = SQLConf.get.clone()
 
   private def dbConf = RocksDBConf(StateStoreConf(sqlConf))
@@ -1460,12 +1543,16 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
       remoteDir: String,
       version: Int = 0,
       conf: RocksDBConf = dbConf,
-      hadoopConf: Configuration = new Configuration())(
+      hadoopConf: Configuration = new Configuration(),
+      localDir: File = Utils.createTempDir())(
       func: RocksDB => T): T = {
     var db: RocksDB = null
     try {
       db = new RocksDB(
-        remoteDir, conf = conf, hadoopConf = hadoopConf,
+        remoteDir,
+        conf = conf,
+        localRootDir = localDir,
+        hadoopConf = hadoopConf,
         loggingId = s"[Thread-${Thread.currentThread.getId}]")
       db.load(version)
       func(db)

From e81df1f39e8fd2d1babd5cadd4d4b76e2df95791 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 22 Feb 2024 12:13:24 +0900
Subject: [PATCH 594/986] [SPARK-47125][SQL] Return null if Univocity never
 triggers parsing

### What changes were proposed in this pull request?

This PR proposes to prevent `null` for `tokenizer.getContext`. This is similar with https://github.com/apache/spark/pull/28029. `getContext` seemingly via the univocity library, it can return null if `begingParsing` is not invoked (https://github.com/uniVocity/univocity-parsers/blob/master/src/main/java/com/univocity/parsers/common/AbstractParser.java#L53). This can happen when `parseLine` is not invoked at https://github.com/apache/spark/blob/e081f06ea401a2b6b8c214a36126583d35eaf55f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala#L300 - `parseLine` invokes `begingParsing`.

### Why are the changes needed?

To fix up a bug.

### Does this PR introduce _any_ user-facing change?

Yes. In a very rare case, when `CsvToStructs` is used as a sole predicate against an empty row, it might trigger NPE. This PR fixes it.

### How was this patch tested?

Manually tested, but test case will be done in a separate PR. We should backport this to all branches.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45210 from HyukjinKwon/SPARK-47125.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../org/apache/spark/sql/catalyst/csv/UnivocityParser.scala      | 1 +
 1 file changed, 1 insertion(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
index 804c5d358ad6c..f0663ddd69b1f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
@@ -139,6 +139,7 @@ class UnivocityParser(
 
   // Retrieve the raw record string.
   private def getCurrentInput: UTF8String = {
+    if (tokenizer.getContext == null) return null
     val currentContent = tokenizer.getContext.currentParsedContent()
     if (currentContent == null) null else UTF8String.fromString(currentContent.stripLineEnd)
   }

From 588a55d010fefda7a63cde3b616ac38728fe4cfe Mon Sep 17 00:00:00 2001
From: Nicholas Chammas <nicholas.chammas@gmail.com>
Date: Mon, 26 Feb 2024 16:03:30 +0800
Subject: [PATCH 595/986] [SPARK-45599][CORE] Use object equality in
 OpenHashSet

### What changes were proposed in this pull request?

Change `OpenHashSet` to use object equality instead of cooperative equality when looking up keys.

### Why are the changes needed?

This brings the behavior of `OpenHashSet` more in line with the semantics of `java.util.HashSet`, and fixes its behavior when comparing values for which `equals` and `==` return different results, like 0.0/-0.0 and NaN/NaN.

For example, in certain cases where both 0.0 and -0.0 are provided as keys to the set, lookups of one or the other key may return the [wrong position][wrong] in the set. This leads to the bug described in SPARK-45599 and summarized in [this comment][1].

[wrong]: https://github.com/apache/spark/pull/45036/files#diff-894198a5fea34e5b7f07d0a4641eb09995315d5de3e0fded3743c15a3c8af405R277-R283
[1]: https://issues.apache.org/jira/browse/SPARK-45599?focusedCommentId=17806954&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17806954

### Does this PR introduce _any_ user-facing change?

Yes, it resolves the bug described in SPARK-45599.

`OpenHashSet` is used widely under the hood, including in:
- `OpenHashMap`, which itself backs:
    - `TypedImperativeAggregate`
    - aggregate functions like `percentile` and `mode`
    - many algorithms in ML and MLlib
- `SQLOpenHashSet`, which backs array functions like `array_union` and `array_distinct`

However, the user-facing changes should be limited to the kind of edge case described in SPARK-45599.

### How was this patch tested?

New and existing unit tests. Of the new tests added in this PR, some simply validate that we have not changed existing SQL semantics, while others confirm that we have fixed the specific bug reported in SPARK-45599 along with any related incorrect behavior.

New tests failing on `master` but passing on this branch:
- [Handling 0.0 and -0.0 in `OpenHashSet`](https://github.com/apache/spark/pull/45036/files#diff-894198a5fea34e5b7f07d0a4641eb09995315d5de3e0fded3743c15a3c8af405R273)
- [Handling NaN in `OpenHashSet`](https://github.com/apache/spark/pull/45036/files#diff-894198a5fea34e5b7f07d0a4641eb09995315d5de3e0fded3743c15a3c8af405R302)
- [Handling 0.0 and -0.0 in `OpenHashMap`](https://github.com/apache/spark/pull/45036/files#diff-09400ec633b1f1322c5f7b39dc4e87073b0b0435b60b9cff93388053be5083b6R253)
- [Handling 0.0 and -0.0 when computing percentile](https://github.com/apache/spark/pull/45036/files#diff-bd3d5c79ede5675f4bf10d2efb313db893d57443d6d6d67b1f8766e6ce741271R1092)

New tests passing both on `master` and this branch:
- [Handling 0.0, -0.0, and NaN in `array_union`](https://github.com/apache/spark/pull/45036/files#diff-9e18a5ccf83ac94321e3a0ee8c5acf104c45734f3b35f1a0d4c15c4daa315ad5R793)
- [Handling 0.0, -0.0, and NaN in `array_distinct`](https://github.com/apache/spark/pull/45036/files#diff-9e18a5ccf83ac94321e3a0ee8c5acf104c45734f3b35f1a0d4c15c4daa315ad5R801)
- [Handling 0.0, -0.0, and NaN in `GROUP BY`](https://github.com/apache/spark/pull/45036/files#diff-496edb8b03201f078c3772ca81f7c7f80002acc11dff00b1d06d288b87855264R1107)
- [Normalizing -0 and -0.0](https://github.com/apache/spark/pull/45036/files#diff-4bdd04d06a2d88049dd5c8a67715c5566dd68a1c4ebffc689dc74b6b2e0b3b04R782)

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45036 from nchammas/SPARK-45599-plus-and-minus-zero.

Authored-by: Nicholas Chammas <nicholas.chammas@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit fcc5dbc9b6c8a8e16dc2e0854f3eebc8758a5826)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/util/collection/OpenHashSet.scala   | 16 ++++++--
 .../util/collection/OpenHashMapSuite.scala    | 30 ++++++++++++++
 .../util/collection/OpenHashSetSuite.scala    | 39 +++++++++++++++++++
 .../analyzer-results/ansi/array.sql.out       | 14 +++++++
 .../analyzer-results/ansi/literals.sql.out    |  7 ++++
 .../sql-tests/analyzer-results/array.sql.out  | 14 +++++++
 .../analyzer-results/group-by.sql.out         | 19 +++++++++
 .../analyzer-results/literals.sql.out         |  7 ++++
 .../test/resources/sql-tests/inputs/array.sql |  4 ++
 .../resources/sql-tests/inputs/group-by.sql   | 15 +++++++
 .../resources/sql-tests/inputs/literals.sql   |  3 ++
 .../sql-tests/results/ansi/array.sql.out      | 16 ++++++++
 .../sql-tests/results/ansi/literals.sql.out   |  8 ++++
 .../resources/sql-tests/results/array.sql.out | 16 ++++++++
 .../sql-tests/results/group-by.sql.out        | 22 +++++++++++
 .../sql-tests/results/literals.sql.out        |  8 ++++
 .../spark/sql/DataFrameAggregateSuite.scala   | 33 ++++++++++++++++
 17 files changed, 268 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
index 6815e47a198d9..435cf1a03cbc5 100644
--- a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
+++ b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
@@ -126,6 +126,17 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     this
   }
 
+  /**
+   * Check if a key exists at the provided position using object equality rather than
+   * cooperative equality. Otherwise, hash sets will mishandle values for which `==`
+   * and `equals` return different results, like 0.0/-0.0 and NaN/NaN.
+   *
+   * See: https://issues.apache.org/jira/browse/SPARK-45599
+   */
+  @annotation.nowarn("cat=other-non-cooperative-equals")
+  private def keyExistsAtPos(k: T, pos: Int) =
+    _data(pos) equals k
+
   /**
    * Add an element to the set. This one differs from add in that it doesn't trigger rehashing.
    * The caller is responsible for calling rehashIfNeeded.
@@ -146,8 +157,7 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
         _bitset.set(pos)
         _size += 1
         return pos | NONEXISTENCE_MASK
-      } else if (_data(pos) == k) {
-        // Found an existing key.
+      } else if (keyExistsAtPos(k, pos)) {
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
@@ -181,7 +191,7 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     while (true) {
       if (!_bitset.get(pos)) {
         return INVALID_POS
-      } else if (k == _data(pos)) {
+      } else if (keyExistsAtPos(k, pos)) {
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
index 1af99e9017c9c..f7b026ab565f0 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
@@ -249,4 +249,34 @@ class OpenHashMapSuite extends SparkFunSuite with Matchers {
     map(null) = null
     assert(map.get(null) === Some(null))
   }
+
+  test("SPARK-45599: 0.0 and -0.0 should count distinctly; NaNs should count together") {
+    // Exactly these elements provided in roughly this order trigger a condition where lookups of
+    // 0.0 and -0.0 in the bitset happen to collide, causing their counts to be merged incorrectly
+    // and inconsistently if `==` is used to check for key equality.
+    val spark45599Repro = Seq(
+      Double.NaN,
+      2.0,
+      168.0,
+      Double.NaN,
+      Double.NaN,
+      -0.0,
+      153.0,
+      0.0
+    )
+
+    val map1 = new OpenHashMap[Double, Int]()
+    spark45599Repro.foreach(map1.changeValue(_, 1, {_ + 1}))
+    assert(map1(0.0) == 1)
+    assert(map1(-0.0) == 1)
+    assert(map1(Double.NaN) == 3)
+
+    val map2 = new OpenHashMap[Double, Int]()
+    // Simply changing the order in which the elements are added to the map should not change the
+    // counts for 0.0 and -0.0.
+    spark45599Repro.reverse.foreach(map2.changeValue(_, 1, {_ + 1}))
+    assert(map2(0.0) == 1)
+    assert(map2(-0.0) == 1)
+    assert(map2(Double.NaN) == 3)
+  }
 }
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
index 89a308556d5df..0bc8aa067f57a 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
@@ -269,4 +269,43 @@ class OpenHashSetSuite extends SparkFunSuite with Matchers {
       assert(pos1 == pos2)
     }
   }
+
+  test("SPARK-45599: 0.0 and -0.0 are equal but not the same") {
+    // Therefore, 0.0 and -0.0 should get separate entries in the hash set.
+    //
+    // Exactly these elements provided in roughly this order will trigger the following scenario:
+    // When probing the bitset in `getPos(-0.0)`, the loop will happen upon the entry for 0.0.
+    // In the old logic pre-SPARK-45599, the loop will find that the bit is set and, because
+    // -0.0 == 0.0, it will think that's the position of -0.0. But in reality this is the position
+    // of 0.0. So -0.0 and 0.0 will be stored at different positions, but `getPos()` will return
+    // the same position for them. This can cause users of OpenHashSet, like OpenHashMap, to
+    // return the wrong value for a key based on whether or not this bitset lookup collision
+    // happens.
+    val spark45599Repro = Seq(
+      Double.NaN,
+      2.0,
+      168.0,
+      Double.NaN,
+      Double.NaN,
+      -0.0,
+      153.0,
+      0.0
+    )
+    val set = new OpenHashSet[Double]()
+    spark45599Repro.foreach(set.add)
+    assert(set.size == 6)
+    val zeroPos = set.getPos(0.0)
+    val negZeroPos = set.getPos(-0.0)
+    assert(zeroPos != negZeroPos)
+  }
+
+  test("SPARK-45599: NaN and NaN are the same but not equal") {
+    // Any mathematical comparison to NaN will return false, but when we place it in
+    // a hash set we want the lookup to work like a "normal" value.
+    val set = new OpenHashSet[Double]()
+    set.add(Double.NaN)
+    set.add(Double.NaN)
+    assert(set.contains(Double.NaN))
+    assert(set.size == 1)
+  }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index 6fc308157933f..3b196ea93e40c 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -747,3 +747,17 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query analysis
+Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
++- OneRowRelation
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query analysis
+Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
index 53c7327c58717..001dd4d644873 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
@@ -692,3 +692,10 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query analysis
+Project [0 AS 0#x, 0.0 AS 0.0#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index e0585b77cb6bd..ca6c89bfadc3d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -747,3 +747,17 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query analysis
+Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
++- OneRowRelation
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query analysis
+Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 202ceee18046a..93c463575dc1a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1196,3 +1196,22 @@ Aggregate [c#x], [(c#x * 2) AS d#x]
          +- Project [if ((a#x < 0)) 0 else a#x AS b#x]
             +- SubqueryAlias t1
                +- LocalRelation [a#x]
+
+
+-- !query
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+-- !query analysis
+Sort [col1#x ASC NULLS FIRST], true
++- Aggregate [col1#x], [col1#x, count(1) AS cnt#xL]
+   +- LocalRelation [col1#x]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
index 53c7327c58717..001dd4d644873 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
@@ -692,3 +692,10 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query analysis
+Project [0 AS 0#x, 0.0 AS 0.0#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/inputs/array.sql b/sql/core/src/test/resources/sql-tests/inputs/array.sql
index 52a0906ea7392..865dc8bac4ea5 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/array.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/array.sql
@@ -177,3 +177,7 @@ select array_prepend(CAST(null AS ARRAY<String>), CAST(null as String));
 select array_prepend(array(), 1);
 select array_prepend(CAST(array() AS ARRAY<String>), CAST(NULL AS String));
 select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String));
+
+-- SPARK-45599: Confirm 0.0, -0.0, and NaN are handled appropriately.
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")));
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")));
diff --git a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
index c35cdb0de2719..ce1b422de3196 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
@@ -264,3 +264,18 @@ FROM (
          GROUP BY b
      ) t3
 GROUP BY c;
+
+-- SPARK-45599: Check that "weird" doubles group and sort as desired.
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+;
diff --git a/sql/core/src/test/resources/sql-tests/inputs/literals.sql b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
index 9f0eefc16a8cd..e1e4a370bffdc 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/literals.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
@@ -118,3 +118,6 @@ select +X'1';
 select -date '1999-01-01';
 select -timestamp '1999-01-01';
 select -x'2379ACFe';
+
+-- normalize -0 and -0.0
+select -0, -0.0;
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 49e18411ffa37..6a07d659e39b5 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -907,3 +907,19 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query schema
+struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query schema
+struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
index 85bcc2713ff5c..452580e4f3c34 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
@@ -770,3 +770,11 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query schema
+struct<0:int,0.0:decimal(1,1)>
+-- !query output
+0	0.0
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index e568f5fa7796d..d33fc62f0d9a1 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -788,3 +788,19 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query schema
+struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query schema
+struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index db79646fe435a..548917ef79b2d 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1121,3 +1121,25 @@ struct<d:int>
 -- !query output
 0
 2
+
+
+-- !query
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+-- !query schema
+struct<col1:double,cnt:bigint>
+-- !query output
+-Infinity	2
+0.0	2
+Infinity	2
+NaN	2
diff --git a/sql/core/src/test/resources/sql-tests/results/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
index 85bcc2713ff5c..452580e4f3c34 100644
--- a/sql/core/src/test/resources/sql-tests/results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
@@ -770,3 +770,11 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query schema
+struct<0:int,0.0:decimal(1,1)>
+-- !query output
+0	0.0
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 631fcd8c0d87d..1ba3f6c84d0ad 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -1068,6 +1068,39 @@ class DataFrameAggregateSuite extends QueryTest
     )
   }
 
+  test("SPARK-45599: Neither 0.0 nor -0.0 should be dropped when computing percentile") {
+    // To reproduce the bug described in SPARK-45599, we need exactly these rows in roughly
+    // this order in a DataFrame with exactly 1 partition.
+    // scalastyle:off line.size.limit
+    // See: https://issues.apache.org/jira/browse/SPARK-45599?focusedCommentId=17806954&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17806954
+    // scalastyle:on line.size.limit
+    val spark45599Repro: DataFrame = Seq(
+        0.0,
+        2.0,
+        153.0,
+        168.0,
+        3252411229536261.0,
+        7.205759403792794e+16,
+        1.7976931348623157e+308,
+        0.25,
+        Double.NaN,
+        Double.NaN,
+        -0.0,
+        -128.0,
+        Double.NaN,
+        Double.NaN
+      ).toDF("val").coalesce(1)
+
+    checkAnswer(
+      spark45599Repro.agg(
+        percentile(col("val"), lit(0.1))
+      ),
+      // With the buggy implementation of OpenHashSet, this returns `0.050000000000000044`
+      // instead of `-0.0`.
+      List(Row(-0.0))
+    )
+  }
+
   test("any_value") {
     checkAnswer(
       courseSales.groupBy("course").agg(

From cbf25fb633f4bf2f83a6f6e39aafaa80bf47e160 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 27 Feb 2024 08:38:54 -0800
Subject: [PATCH 596/986] Revert "[SPARK-45599][CORE] Use object equality in
 OpenHashSet"

This reverts commit 588a55d010fefda7a63cde3b616ac38728fe4cfe.
---
 .../spark/util/collection/OpenHashSet.scala   | 16 ++------
 .../util/collection/OpenHashMapSuite.scala    | 30 --------------
 .../util/collection/OpenHashSetSuite.scala    | 39 -------------------
 .../analyzer-results/ansi/array.sql.out       | 14 -------
 .../analyzer-results/ansi/literals.sql.out    |  7 ----
 .../sql-tests/analyzer-results/array.sql.out  | 14 -------
 .../analyzer-results/group-by.sql.out         | 19 ---------
 .../analyzer-results/literals.sql.out         |  7 ----
 .../test/resources/sql-tests/inputs/array.sql |  4 --
 .../resources/sql-tests/inputs/group-by.sql   | 15 -------
 .../resources/sql-tests/inputs/literals.sql   |  3 --
 .../sql-tests/results/ansi/array.sql.out      | 16 --------
 .../sql-tests/results/ansi/literals.sql.out   |  8 ----
 .../resources/sql-tests/results/array.sql.out | 16 --------
 .../sql-tests/results/group-by.sql.out        | 22 -----------
 .../sql-tests/results/literals.sql.out        |  8 ----
 .../spark/sql/DataFrameAggregateSuite.scala   | 33 ----------------
 17 files changed, 3 insertions(+), 268 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
index 435cf1a03cbc5..6815e47a198d9 100644
--- a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
+++ b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
@@ -126,17 +126,6 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     this
   }
 
-  /**
-   * Check if a key exists at the provided position using object equality rather than
-   * cooperative equality. Otherwise, hash sets will mishandle values for which `==`
-   * and `equals` return different results, like 0.0/-0.0 and NaN/NaN.
-   *
-   * See: https://issues.apache.org/jira/browse/SPARK-45599
-   */
-  @annotation.nowarn("cat=other-non-cooperative-equals")
-  private def keyExistsAtPos(k: T, pos: Int) =
-    _data(pos) equals k
-
   /**
    * Add an element to the set. This one differs from add in that it doesn't trigger rehashing.
    * The caller is responsible for calling rehashIfNeeded.
@@ -157,7 +146,8 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
         _bitset.set(pos)
         _size += 1
         return pos | NONEXISTENCE_MASK
-      } else if (keyExistsAtPos(k, pos)) {
+      } else if (_data(pos) == k) {
+        // Found an existing key.
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
@@ -191,7 +181,7 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     while (true) {
       if (!_bitset.get(pos)) {
         return INVALID_POS
-      } else if (keyExistsAtPos(k, pos)) {
+      } else if (k == _data(pos)) {
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
index f7b026ab565f0..1af99e9017c9c 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
@@ -249,34 +249,4 @@ class OpenHashMapSuite extends SparkFunSuite with Matchers {
     map(null) = null
     assert(map.get(null) === Some(null))
   }
-
-  test("SPARK-45599: 0.0 and -0.0 should count distinctly; NaNs should count together") {
-    // Exactly these elements provided in roughly this order trigger a condition where lookups of
-    // 0.0 and -0.0 in the bitset happen to collide, causing their counts to be merged incorrectly
-    // and inconsistently if `==` is used to check for key equality.
-    val spark45599Repro = Seq(
-      Double.NaN,
-      2.0,
-      168.0,
-      Double.NaN,
-      Double.NaN,
-      -0.0,
-      153.0,
-      0.0
-    )
-
-    val map1 = new OpenHashMap[Double, Int]()
-    spark45599Repro.foreach(map1.changeValue(_, 1, {_ + 1}))
-    assert(map1(0.0) == 1)
-    assert(map1(-0.0) == 1)
-    assert(map1(Double.NaN) == 3)
-
-    val map2 = new OpenHashMap[Double, Int]()
-    // Simply changing the order in which the elements are added to the map should not change the
-    // counts for 0.0 and -0.0.
-    spark45599Repro.reverse.foreach(map2.changeValue(_, 1, {_ + 1}))
-    assert(map2(0.0) == 1)
-    assert(map2(-0.0) == 1)
-    assert(map2(Double.NaN) == 3)
-  }
 }
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
index 0bc8aa067f57a..89a308556d5df 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
@@ -269,43 +269,4 @@ class OpenHashSetSuite extends SparkFunSuite with Matchers {
       assert(pos1 == pos2)
     }
   }
-
-  test("SPARK-45599: 0.0 and -0.0 are equal but not the same") {
-    // Therefore, 0.0 and -0.0 should get separate entries in the hash set.
-    //
-    // Exactly these elements provided in roughly this order will trigger the following scenario:
-    // When probing the bitset in `getPos(-0.0)`, the loop will happen upon the entry for 0.0.
-    // In the old logic pre-SPARK-45599, the loop will find that the bit is set and, because
-    // -0.0 == 0.0, it will think that's the position of -0.0. But in reality this is the position
-    // of 0.0. So -0.0 and 0.0 will be stored at different positions, but `getPos()` will return
-    // the same position for them. This can cause users of OpenHashSet, like OpenHashMap, to
-    // return the wrong value for a key based on whether or not this bitset lookup collision
-    // happens.
-    val spark45599Repro = Seq(
-      Double.NaN,
-      2.0,
-      168.0,
-      Double.NaN,
-      Double.NaN,
-      -0.0,
-      153.0,
-      0.0
-    )
-    val set = new OpenHashSet[Double]()
-    spark45599Repro.foreach(set.add)
-    assert(set.size == 6)
-    val zeroPos = set.getPos(0.0)
-    val negZeroPos = set.getPos(-0.0)
-    assert(zeroPos != negZeroPos)
-  }
-
-  test("SPARK-45599: NaN and NaN are the same but not equal") {
-    // Any mathematical comparison to NaN will return false, but when we place it in
-    // a hash set we want the lookup to work like a "normal" value.
-    val set = new OpenHashSet[Double]()
-    set.add(Double.NaN)
-    set.add(Double.NaN)
-    assert(set.contains(Double.NaN))
-    assert(set.size == 1)
-  }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index 3b196ea93e40c..6fc308157933f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -747,17 +747,3 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
-
-
--- !query
-select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
--- !query analysis
-Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
-+- OneRowRelation
-
-
--- !query
-select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
--- !query analysis
-Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
-+- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
index 001dd4d644873..53c7327c58717 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
@@ -692,10 +692,3 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
-
-
--- !query
-select -0, -0.0
--- !query analysis
-Project [0 AS 0#x, 0.0 AS 0.0#x]
-+- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index ca6c89bfadc3d..e0585b77cb6bd 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -747,17 +747,3 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
-
-
--- !query
-select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
--- !query analysis
-Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
-+- OneRowRelation
-
-
--- !query
-select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
--- !query analysis
-Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
-+- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 93c463575dc1a..202ceee18046a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1196,22 +1196,3 @@ Aggregate [c#x], [(c#x * 2) AS d#x]
          +- Project [if ((a#x < 0)) 0 else a#x AS b#x]
             +- SubqueryAlias t1
                +- LocalRelation [a#x]
-
-
--- !query
-SELECT col1, count(*) AS cnt
-FROM VALUES
-  (0.0),
-  (-0.0),
-  (double('NaN')),
-  (double('NaN')),
-  (double('Infinity')),
-  (double('Infinity')),
-  (-double('Infinity')),
-  (-double('Infinity'))
-GROUP BY col1
-ORDER BY col1
--- !query analysis
-Sort [col1#x ASC NULLS FIRST], true
-+- Aggregate [col1#x], [col1#x, count(1) AS cnt#xL]
-   +- LocalRelation [col1#x]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
index 001dd4d644873..53c7327c58717 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
@@ -692,10 +692,3 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
-
-
--- !query
-select -0, -0.0
--- !query analysis
-Project [0 AS 0#x, 0.0 AS 0.0#x]
-+- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/inputs/array.sql b/sql/core/src/test/resources/sql-tests/inputs/array.sql
index 865dc8bac4ea5..52a0906ea7392 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/array.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/array.sql
@@ -177,7 +177,3 @@ select array_prepend(CAST(null AS ARRAY<String>), CAST(null as String));
 select array_prepend(array(), 1);
 select array_prepend(CAST(array() AS ARRAY<String>), CAST(NULL AS String));
 select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String));
-
--- SPARK-45599: Confirm 0.0, -0.0, and NaN are handled appropriately.
-select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")));
-select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")));
diff --git a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
index ce1b422de3196..c35cdb0de2719 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
@@ -264,18 +264,3 @@ FROM (
          GROUP BY b
      ) t3
 GROUP BY c;
-
--- SPARK-45599: Check that "weird" doubles group and sort as desired.
-SELECT col1, count(*) AS cnt
-FROM VALUES
-  (0.0),
-  (-0.0),
-  (double('NaN')),
-  (double('NaN')),
-  (double('Infinity')),
-  (double('Infinity')),
-  (-double('Infinity')),
-  (-double('Infinity'))
-GROUP BY col1
-ORDER BY col1
-;
diff --git a/sql/core/src/test/resources/sql-tests/inputs/literals.sql b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
index e1e4a370bffdc..9f0eefc16a8cd 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/literals.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
@@ -118,6 +118,3 @@ select +X'1';
 select -date '1999-01-01';
 select -timestamp '1999-01-01';
 select -x'2379ACFe';
-
--- normalize -0 and -0.0
-select -0, -0.0;
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 6a07d659e39b5..49e18411ffa37 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -907,19 +907,3 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
-
-
--- !query
-select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
--- !query schema
-struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
--- !query output
-[0.0,NaN]
-
-
--- !query
-select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
--- !query schema
-struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
--- !query output
-[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
index 452580e4f3c34..85bcc2713ff5c 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
@@ -770,11 +770,3 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
-
-
--- !query
-select -0, -0.0
--- !query schema
-struct<0:int,0.0:decimal(1,1)>
--- !query output
-0	0.0
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index d33fc62f0d9a1..e568f5fa7796d 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -788,19 +788,3 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
-
-
--- !query
-select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
--- !query schema
-struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
--- !query output
-[0.0,NaN]
-
-
--- !query
-select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
--- !query schema
-struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
--- !query output
-[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index 548917ef79b2d..db79646fe435a 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1121,25 +1121,3 @@ struct<d:int>
 -- !query output
 0
 2
-
-
--- !query
-SELECT col1, count(*) AS cnt
-FROM VALUES
-  (0.0),
-  (-0.0),
-  (double('NaN')),
-  (double('NaN')),
-  (double('Infinity')),
-  (double('Infinity')),
-  (-double('Infinity')),
-  (-double('Infinity'))
-GROUP BY col1
-ORDER BY col1
--- !query schema
-struct<col1:double,cnt:bigint>
--- !query output
--Infinity	2
-0.0	2
-Infinity	2
-NaN	2
diff --git a/sql/core/src/test/resources/sql-tests/results/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
index 452580e4f3c34..85bcc2713ff5c 100644
--- a/sql/core/src/test/resources/sql-tests/results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
@@ -770,11 +770,3 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
-
-
--- !query
-select -0, -0.0
--- !query schema
-struct<0:int,0.0:decimal(1,1)>
--- !query output
-0	0.0
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 1ba3f6c84d0ad..631fcd8c0d87d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -1068,39 +1068,6 @@ class DataFrameAggregateSuite extends QueryTest
     )
   }
 
-  test("SPARK-45599: Neither 0.0 nor -0.0 should be dropped when computing percentile") {
-    // To reproduce the bug described in SPARK-45599, we need exactly these rows in roughly
-    // this order in a DataFrame with exactly 1 partition.
-    // scalastyle:off line.size.limit
-    // See: https://issues.apache.org/jira/browse/SPARK-45599?focusedCommentId=17806954&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17806954
-    // scalastyle:on line.size.limit
-    val spark45599Repro: DataFrame = Seq(
-        0.0,
-        2.0,
-        153.0,
-        168.0,
-        3252411229536261.0,
-        7.205759403792794e+16,
-        1.7976931348623157e+308,
-        0.25,
-        Double.NaN,
-        Double.NaN,
-        -0.0,
-        -128.0,
-        Double.NaN,
-        Double.NaN
-      ).toDF("val").coalesce(1)
-
-    checkAnswer(
-      spark45599Repro.agg(
-        percentile(col("val"), lit(0.1))
-      ),
-      // With the buggy implementation of OpenHashSet, this returns `0.050000000000000044`
-      // instead of `-0.0`.
-      List(Row(-0.0))
-    )
-  }
-
   test("any_value") {
     checkAnswer(
       courseSales.groupBy("course").agg(

From b4118e0dbb505033d6a6a63b4c22c4e4bcf3e8d8 Mon Sep 17 00:00:00 2001
From: Nicholas Chammas <nicholas.chammas@gmail.com>
Date: Tue, 27 Feb 2024 18:30:57 -0800
Subject: [PATCH 597/986] [SPARK-45599][CORE][3.5] Use object equality in
 OpenHashSet

### What changes were proposed in this pull request?

This is a backport of fcc5dbc9b6c8a8e16dc2e0854f3eebc8758a5826 / https://github.com/apache/spark/pull/45036 with a tweak so that it works on Scala 2.12.

### Why are the changes needed?

This is a correctness bug fix.

The original fix against `master` suppresses a warning category that doesn't exist on certain versions of Scala 2.13 and 2.12, and the exact versions are [not documented anywhere][1].

To be safe, this backport simply suppresses all warnings instead of just `other-non-cooperative-equals`. It would be interesting to see if `-Wconf:nowarn` complains, since the warning about non-cooperative equals itself is also not thrown on all versions of Scala, but I don't think that's a priority.

[1]: https://github.com/scala/scala/pull/8120#issuecomment-1967413860

### Does this PR introduce _any_ user-facing change?

Yes.

### How was this patch tested?

CI + added tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45296 from nchammas/SPARK-45599-OpenHashSet.

Authored-by: Nicholas Chammas <nicholas.chammas@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/util/collection/OpenHashSet.scala   | 16 ++++++--
 .../util/collection/OpenHashMapSuite.scala    | 30 ++++++++++++++
 .../util/collection/OpenHashSetSuite.scala    | 39 +++++++++++++++++++
 .../analyzer-results/ansi/array.sql.out       | 14 +++++++
 .../analyzer-results/ansi/literals.sql.out    |  7 ++++
 .../sql-tests/analyzer-results/array.sql.out  | 14 +++++++
 .../analyzer-results/group-by.sql.out         | 19 +++++++++
 .../analyzer-results/literals.sql.out         |  7 ++++
 .../test/resources/sql-tests/inputs/array.sql |  4 ++
 .../resources/sql-tests/inputs/group-by.sql   | 15 +++++++
 .../resources/sql-tests/inputs/literals.sql   |  3 ++
 .../sql-tests/results/ansi/array.sql.out      | 16 ++++++++
 .../sql-tests/results/ansi/literals.sql.out   |  8 ++++
 .../resources/sql-tests/results/array.sql.out | 16 ++++++++
 .../sql-tests/results/group-by.sql.out        | 22 +++++++++++
 .../sql-tests/results/literals.sql.out        |  8 ++++
 .../spark/sql/DataFrameAggregateSuite.scala   | 33 ++++++++++++++++
 17 files changed, 268 insertions(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
index 6815e47a198d9..4e307e35da8cd 100644
--- a/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
+++ b/core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
@@ -126,6 +126,17 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     this
   }
 
+  /**
+   * Check if a key exists at the provided position using object equality rather than
+   * cooperative equality. Otherwise, hash sets will mishandle values for which `==`
+   * and `equals` return different results, like 0.0/-0.0 and NaN/NaN.
+   *
+   * See: https://issues.apache.org/jira/browse/SPARK-45599
+   */
+  @annotation.nowarn
+  private def keyExistsAtPos(k: T, pos: Int) =
+    _data(pos) equals k
+
   /**
    * Add an element to the set. This one differs from add in that it doesn't trigger rehashing.
    * The caller is responsible for calling rehashIfNeeded.
@@ -146,8 +157,7 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
         _bitset.set(pos)
         _size += 1
         return pos | NONEXISTENCE_MASK
-      } else if (_data(pos) == k) {
-        // Found an existing key.
+      } else if (keyExistsAtPos(k, pos)) {
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
@@ -181,7 +191,7 @@ class OpenHashSet[@specialized(Long, Int, Double, Float) T: ClassTag](
     while (true) {
       if (!_bitset.get(pos)) {
         return INVALID_POS
-      } else if (k == _data(pos)) {
+      } else if (keyExistsAtPos(k, pos)) {
         return pos
       } else {
         // quadratic probing with values increase by 1, 2, 3, ...
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
index 1af99e9017c9c..f7b026ab565f0 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashMapSuite.scala
@@ -249,4 +249,34 @@ class OpenHashMapSuite extends SparkFunSuite with Matchers {
     map(null) = null
     assert(map.get(null) === Some(null))
   }
+
+  test("SPARK-45599: 0.0 and -0.0 should count distinctly; NaNs should count together") {
+    // Exactly these elements provided in roughly this order trigger a condition where lookups of
+    // 0.0 and -0.0 in the bitset happen to collide, causing their counts to be merged incorrectly
+    // and inconsistently if `==` is used to check for key equality.
+    val spark45599Repro = Seq(
+      Double.NaN,
+      2.0,
+      168.0,
+      Double.NaN,
+      Double.NaN,
+      -0.0,
+      153.0,
+      0.0
+    )
+
+    val map1 = new OpenHashMap[Double, Int]()
+    spark45599Repro.foreach(map1.changeValue(_, 1, {_ + 1}))
+    assert(map1(0.0) == 1)
+    assert(map1(-0.0) == 1)
+    assert(map1(Double.NaN) == 3)
+
+    val map2 = new OpenHashMap[Double, Int]()
+    // Simply changing the order in which the elements are added to the map should not change the
+    // counts for 0.0 and -0.0.
+    spark45599Repro.reverse.foreach(map2.changeValue(_, 1, {_ + 1}))
+    assert(map2(0.0) == 1)
+    assert(map2(-0.0) == 1)
+    assert(map2(Double.NaN) == 3)
+  }
 }
diff --git a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
index 89a308556d5df..0bc8aa067f57a 100644
--- a/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/collection/OpenHashSetSuite.scala
@@ -269,4 +269,43 @@ class OpenHashSetSuite extends SparkFunSuite with Matchers {
       assert(pos1 == pos2)
     }
   }
+
+  test("SPARK-45599: 0.0 and -0.0 are equal but not the same") {
+    // Therefore, 0.0 and -0.0 should get separate entries in the hash set.
+    //
+    // Exactly these elements provided in roughly this order will trigger the following scenario:
+    // When probing the bitset in `getPos(-0.0)`, the loop will happen upon the entry for 0.0.
+    // In the old logic pre-SPARK-45599, the loop will find that the bit is set and, because
+    // -0.0 == 0.0, it will think that's the position of -0.0. But in reality this is the position
+    // of 0.0. So -0.0 and 0.0 will be stored at different positions, but `getPos()` will return
+    // the same position for them. This can cause users of OpenHashSet, like OpenHashMap, to
+    // return the wrong value for a key based on whether or not this bitset lookup collision
+    // happens.
+    val spark45599Repro = Seq(
+      Double.NaN,
+      2.0,
+      168.0,
+      Double.NaN,
+      Double.NaN,
+      -0.0,
+      153.0,
+      0.0
+    )
+    val set = new OpenHashSet[Double]()
+    spark45599Repro.foreach(set.add)
+    assert(set.size == 6)
+    val zeroPos = set.getPos(0.0)
+    val negZeroPos = set.getPos(-0.0)
+    assert(zeroPos != negZeroPos)
+  }
+
+  test("SPARK-45599: NaN and NaN are the same but not equal") {
+    // Any mathematical comparison to NaN will return false, but when we place it in
+    // a hash set we want the lookup to work like a "normal" value.
+    val set = new OpenHashSet[Double]()
+    set.add(Double.NaN)
+    set.add(Double.NaN)
+    assert(set.contains(Double.NaN))
+    assert(set.size == 1)
+  }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
index 6fc308157933f..3b196ea93e40c 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/array.sql.out
@@ -747,3 +747,17 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query analysis
+Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
++- OneRowRelation
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query analysis
+Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
index 53c7327c58717..001dd4d644873 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/literals.sql.out
@@ -692,3 +692,10 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query analysis
+Project [0 AS 0#x, 0.0 AS 0.0#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
index e0585b77cb6bd..ca6c89bfadc3d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/array.sql.out
@@ -747,3 +747,17 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 -- !query analysis
 Project [array_prepend(array(cast(null as string)), cast(null as string)) AS array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING))#x]
 +- OneRowRelation
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query analysis
+Project [array_union(array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double)), array(cast(0.0 as double), cast(0.0 as double), cast(NaN as double))) AS array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN))#x]
++- OneRowRelation
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query analysis
+Project [array_distinct(array(cast(0.0 as double), cast(0.0 as double), cast(0.0 as double), cast(NaN as double), cast(NaN as double))) AS array_distinct(array(0.0, 0.0, 0.0, NaN, NaN))#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 202ceee18046a..93c463575dc1a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1196,3 +1196,22 @@ Aggregate [c#x], [(c#x * 2) AS d#x]
          +- Project [if ((a#x < 0)) 0 else a#x AS b#x]
             +- SubqueryAlias t1
                +- LocalRelation [a#x]
+
+
+-- !query
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+-- !query analysis
+Sort [col1#x ASC NULLS FIRST], true
++- Aggregate [col1#x], [col1#x, count(1) AS cnt#xL]
+   +- LocalRelation [col1#x]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
index 53c7327c58717..001dd4d644873 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/literals.sql.out
@@ -692,3 +692,10 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query analysis
+Project [0 AS 0#x, 0.0 AS 0.0#x]
++- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/inputs/array.sql b/sql/core/src/test/resources/sql-tests/inputs/array.sql
index 52a0906ea7392..865dc8bac4ea5 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/array.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/array.sql
@@ -177,3 +177,7 @@ select array_prepend(CAST(null AS ARRAY<String>), CAST(null as String));
 select array_prepend(array(), 1);
 select array_prepend(CAST(array() AS ARRAY<String>), CAST(NULL AS String));
 select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String));
+
+-- SPARK-45599: Confirm 0.0, -0.0, and NaN are handled appropriately.
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")));
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")));
diff --git a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
index c35cdb0de2719..ce1b422de3196 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
@@ -264,3 +264,18 @@ FROM (
          GROUP BY b
      ) t3
 GROUP BY c;
+
+-- SPARK-45599: Check that "weird" doubles group and sort as desired.
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+;
diff --git a/sql/core/src/test/resources/sql-tests/inputs/literals.sql b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
index 9f0eefc16a8cd..e1e4a370bffdc 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/literals.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/literals.sql
@@ -118,3 +118,6 @@ select +X'1';
 select -date '1999-01-01';
 select -timestamp '1999-01-01';
 select -x'2379ACFe';
+
+-- normalize -0 and -0.0
+select -0, -0.0;
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
index 49e18411ffa37..6a07d659e39b5 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out
@@ -907,3 +907,19 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query schema
+struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query schema
+struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
index 85bcc2713ff5c..452580e4f3c34 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/literals.sql.out
@@ -770,3 +770,11 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query schema
+struct<0:int,0.0:decimal(1,1)>
+-- !query output
+0	0.0
diff --git a/sql/core/src/test/resources/sql-tests/results/array.sql.out b/sql/core/src/test/resources/sql-tests/results/array.sql.out
index e568f5fa7796d..d33fc62f0d9a1 100644
--- a/sql/core/src/test/resources/sql-tests/results/array.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/array.sql.out
@@ -788,3 +788,19 @@ select array_prepend(array(CAST(NULL AS String)), CAST(NULL AS String))
 struct<array_prepend(array(CAST(NULL AS STRING)), CAST(NULL AS STRING)):array<string>>
 -- !query output
 [null,null]
+
+
+-- !query
+select array_union(array(0.0, -0.0, DOUBLE("NaN")), array(0.0, -0.0, DOUBLE("NaN")))
+-- !query schema
+struct<array_union(array(0.0, 0.0, NaN), array(0.0, 0.0, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
+
+
+-- !query
+select array_distinct(array(0.0, -0.0, -0.0, DOUBLE("NaN"), DOUBLE("NaN")))
+-- !query schema
+struct<array_distinct(array(0.0, 0.0, 0.0, NaN, NaN)):array<double>>
+-- !query output
+[0.0,NaN]
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index db79646fe435a..548917ef79b2d 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1121,3 +1121,25 @@ struct<d:int>
 -- !query output
 0
 2
+
+
+-- !query
+SELECT col1, count(*) AS cnt
+FROM VALUES
+  (0.0),
+  (-0.0),
+  (double('NaN')),
+  (double('NaN')),
+  (double('Infinity')),
+  (double('Infinity')),
+  (-double('Infinity')),
+  (-double('Infinity'))
+GROUP BY col1
+ORDER BY col1
+-- !query schema
+struct<col1:double,cnt:bigint>
+-- !query output
+-Infinity	2
+0.0	2
+Infinity	2
+NaN	2
diff --git a/sql/core/src/test/resources/sql-tests/results/literals.sql.out b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
index 85bcc2713ff5c..452580e4f3c34 100644
--- a/sql/core/src/test/resources/sql-tests/results/literals.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/literals.sql.out
@@ -770,3 +770,11 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
     "fragment" : "-x'2379ACFe'"
   } ]
 }
+
+
+-- !query
+select -0, -0.0
+-- !query schema
+struct<0:int,0.0:decimal(1,1)>
+-- !query output
+0	0.0
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 631fcd8c0d87d..1ba3f6c84d0ad 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -1068,6 +1068,39 @@ class DataFrameAggregateSuite extends QueryTest
     )
   }
 
+  test("SPARK-45599: Neither 0.0 nor -0.0 should be dropped when computing percentile") {
+    // To reproduce the bug described in SPARK-45599, we need exactly these rows in roughly
+    // this order in a DataFrame with exactly 1 partition.
+    // scalastyle:off line.size.limit
+    // See: https://issues.apache.org/jira/browse/SPARK-45599?focusedCommentId=17806954&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17806954
+    // scalastyle:on line.size.limit
+    val spark45599Repro: DataFrame = Seq(
+        0.0,
+        2.0,
+        153.0,
+        168.0,
+        3252411229536261.0,
+        7.205759403792794e+16,
+        1.7976931348623157e+308,
+        0.25,
+        Double.NaN,
+        Double.NaN,
+        -0.0,
+        -128.0,
+        Double.NaN,
+        Double.NaN
+      ).toDF("val").coalesce(1)
+
+    checkAnswer(
+      spark45599Repro.agg(
+        percentile(col("val"), lit(0.1))
+      ),
+      // With the buggy implementation of OpenHashSet, this returns `0.050000000000000044`
+      // instead of `-0.0`.
+      List(Row(-0.0))
+    )
+  }
+
   test("any_value") {
     checkAnswer(
       courseSales.groupBy("course").agg(

From 96688aca4c3f540c6e6e7f54d7a97642486eb535 Mon Sep 17 00:00:00 2001
From: Pablo Langa <soypab@gmail.com>
Date: Wed, 28 Feb 2024 11:44:04 +0800
Subject: [PATCH 598/986] [SPARK-47063][SQL] CAST long to timestamp has
 different behavior for codegen vs interpreted

### What changes were proposed in this pull request?

When an overflow occurs casting long to timestamp there are different behaviors between codegen and interpreted

```
scala> Seq(Long.MaxValue, Long.MinValue).toDF("v").repartition(1).selectExpr("*", "CAST(v AS timestamp) as ts").selectExpr("*", "unix_micros(ts)").show(false)
+--------------------+-------------------+---------------+
|v                   |ts                 |unix_micros(ts)|
+--------------------+-------------------+---------------+
|9223372036854775807 |1969-12-31 20:59:59|-1000000       |
|-9223372036854775808|1969-12-31 21:00:00|0              |
+--------------------+-------------------+---------------+

scala> spark.conf.set("spark.sql.codegen.wholeStage", false)

scala> spark.conf.set("spark.sql.codegen.factoryMode", "NO_CODEGEN")

scala> Seq(Long.MaxValue, Long.MinValue).toDF("v").repartition(1).selectExpr("*", "CAST(v AS timestamp) as ts").selectExpr("*", "unix_micros(ts)").show(false)
+--------------------+-----------------------------+--------------------+
|v                   |ts                           |unix_micros(ts)     |
+--------------------+-----------------------------+--------------------+
|9223372036854775807 |+294247-01-10 01:00:54.775807|9223372036854775807 |
|-9223372036854775808|-290308-12-21 15:16:20.224192|-9223372036854775808|
+--------------------+-----------------------------+--------------------+

```

To align the behavior this PR change the codegen function the be the same as interpreted (https://github.com/apache/spark/blob/f0090c95ad4eca18040104848117a7da648ffa3c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala#L687)

### Why are the changes needed?

This is necesary to be consistent in all cases

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

With unit test and manually

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45294 from planga82/bugfix/spark47063_cast_codegen.

Authored-by: Pablo Langa <soypab@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit f18d945af7b69fbc89b38b9ca3ca79263b0881ed)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/sql/catalyst/expressions/Cast.scala | 3 ++-
 .../spark/sql/catalyst/expressions/CastWithAnsiOffSuite.scala  | 2 ++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
index 24ade61c12149..01509c5b968c5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
@@ -1615,7 +1615,8 @@ case class Cast(
     val block = inline"new java.math.BigDecimal($MICROS_PER_SECOND)"
     code"($d.toBigDecimal().bigDecimal().multiply($block)).longValue()"
   }
-  private[this] def longToTimeStampCode(l: ExprValue): Block = code"$l * (long)$MICROS_PER_SECOND"
+  private[this] def longToTimeStampCode(l: ExprValue): Block =
+    code"java.util.concurrent.TimeUnit.SECONDS.toMicros($l)"
   private[this] def timestampToLongCode(ts: ExprValue): Block =
     code"java.lang.Math.floorDiv($ts, $MICROS_PER_SECOND)"
   private[this] def timestampToDoubleCode(ts: ExprValue): Block =
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastWithAnsiOffSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastWithAnsiOffSuite.scala
index 1dbf03b1538a6..502ae399ec16a 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastWithAnsiOffSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastWithAnsiOffSuite.scala
@@ -507,6 +507,8 @@ class CastWithAnsiOffSuite extends CastSuiteBase {
     checkEvaluation(cast(1.0 / 0.0, TimestampType), null)
     checkEvaluation(cast(Float.NaN, TimestampType), null)
     checkEvaluation(cast(1.0f / 0.0f, TimestampType), null)
+    checkEvaluation(cast(Literal(Long.MaxValue), TimestampType), Long.MaxValue)
+    checkEvaluation(cast(Literal(Long.MinValue), TimestampType), Long.MinValue)
   }
 
   test("cast a timestamp before the epoch 1970-01-01 00:00:00Z") {

From c0a4416cb960b1a8c335d1c0c27ceeccfacdb377 Mon Sep 17 00:00:00 2001
From: Arzav Jain <arzavj@users.noreply.github.com>
Date: Wed, 28 Feb 2024 14:10:32 +0900
Subject: [PATCH 599/986] [SPARK-47202][PYTHON] Fix typo breaking datetimes
 with tzinfo

This PR fixes a bug caused due to a typo.

This bug is preventing users from having datetime.datetime objects with tzinfo when using the `TimestampType`

No, just a bug fix.

There ought to be CI that lints code and catches these simple errors at the time of opening the PR.

No

Closes #45301 from arzavj/SPARK-47202.

Authored-by: Arzav Jain <arzavj@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit bf8396eaef9f95de3dab712e8895e4bc63adef7c)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/pandas/types.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/sql/pandas/types.py b/python/pyspark/sql/pandas/types.py
index b02a003e632cb..9b7c40ddb24e6 100644
--- a/python/pyspark/sql/pandas/types.py
+++ b/python/pyspark/sql/pandas/types.py
@@ -898,7 +898,7 @@ def convert_timestamp(value: Any) -> Any:
                     return None
                 else:
                     if isinstance(value, datetime.datetime) and value.tzinfo is not None:
-                        ts = pd.Timstamp(value)
+                        ts = pd.Timestamp(value)
                     else:
                         ts = pd.Timestamp(value).tz_localize(timezone)
                     return ts.to_pydatetime()

From e6f3dd9b971e539485518dc041244a51c7a8302e Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 28 Feb 2024 16:56:38 +0900
Subject: [PATCH 600/986] [SPARK-47202][PYTHON][TESTS][FOLLOW-UP] Test
 timestamp with tzinfo in toPandas and createDataFrame with Arrow optimized

### What changes were proposed in this pull request?

This PR is a follow up of https://github.com/apache/spark/pull/45301 that actually test the change.

### Why are the changes needed?

To prevent a regression.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Manually ran the tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45308 from HyukjinKwon/SPARK-47202-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 721c2a41a54bb00ea885093f322edf704e63d17f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/tests/connect/test_parity_arrow.py    |  3 +++
 python/pyspark/sql/tests/test_arrow.py        | 27 +++++++++++++++++++
 2 files changed, 30 insertions(+)

diff --git a/python/pyspark/sql/tests/connect/test_parity_arrow.py b/python/pyspark/sql/tests/connect/test_parity_arrow.py
index a92ef971cd216..55e689da8fdd1 100644
--- a/python/pyspark/sql/tests/connect/test_parity_arrow.py
+++ b/python/pyspark/sql/tests/connect/test_parity_arrow.py
@@ -136,6 +136,9 @@ def test_createDataFrame_nested_timestamp(self):
     def test_toPandas_nested_timestamp(self):
         self.check_toPandas_nested_timestamp(True)
 
+    def test_toPandas_timestmap_tzinfo(self):
+        self.check_toPandas_timestmap_tzinfo(True)
+
     def test_createDataFrame_udt(self):
         self.check_createDataFrame_udt(True)
 
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 9e9a7d3ac9b03..6e462d38d8e5f 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -18,12 +18,14 @@
 import datetime
 import os
 import threading
+import calendar
 import time
 import unittest
 import warnings
 from distutils.version import LooseVersion
 from typing import cast
 from collections import namedtuple
+from zoneinfo import ZoneInfo
 
 from pyspark import SparkContext, SparkConf
 from pyspark.sql import Row, SparkSession
@@ -1090,6 +1092,31 @@ def check_createDataFrame_nested_timestamp(self, arrow_enabled):
 
         self.assertEqual(df.first(), expected)
 
+    def test_toPandas_timestmap_tzinfo(self):
+        for arrow_enabled in [True, False]:
+            with self.subTest(arrow_enabled=arrow_enabled):
+                self.check_toPandas_timestmap_tzinfo(arrow_enabled)
+
+    def check_toPandas_timestmap_tzinfo(self, arrow_enabled):
+        # SPARK-47202: Test timestamp with tzinfo in toPandas and createDataFrame
+        ts_tzinfo = datetime.datetime(2023, 1, 1, 0, 0, 0, tzinfo=ZoneInfo("America/Los_Angeles"))
+        data = pd.DataFrame({"a": [ts_tzinfo]})
+        df = self.spark.createDataFrame(data)
+
+        with self.sql_conf(
+            {
+                "spark.sql.execution.arrow.pyspark.enabled": arrow_enabled,
+            }
+        ):
+            pdf = df.toPandas()
+
+        expected = pd.DataFrame(
+            # Spark unsets tzinfo and converts them to localtimes.
+            {"a": [datetime.datetime.fromtimestamp(calendar.timegm(ts_tzinfo.utctimetuple()))]}
+        )
+
+        assert_frame_equal(pdf, expected)
+
     def test_toPandas_nested_timestamp(self):
         for arrow_enabled in [True, False]:
             with self.subTest(arrow_enabled=arrow_enabled):

From 9770016b180b0477060777d3739a2bfaabc6fcb3 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 29 Feb 2024 19:08:15 -0800
Subject: [PATCH 601/986] [SPARK-47236][CORE] Fix
 `deleteRecursivelyUsingJavaIO` to skip non-existing file input

### What changes were proposed in this pull request?

This PR aims to fix `deleteRecursivelyUsingJavaIO` to skip non-existing file input.

### Why are the changes needed?

`deleteRecursivelyUsingJavaIO` is a fallback of `deleteRecursivelyUsingUnixNative`.
We should have identical capability. Currently, it fails.

```
[info]   java.nio.file.NoSuchFileException: /Users/dongjoon/APACHE/spark-merge/target/tmp/spark-e264d853-42c0-44a2-9a30-22049522b04f
[info]   at java.base/sun.nio.fs.UnixException.translateToIOException(UnixException.java:92)
[info]   at java.base/sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:106)
[info]   at java.base/sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:111)
[info]   at java.base/sun.nio.fs.UnixFileAttributeViews$Basic.readAttributes(UnixFileAttributeViews.java:55)
[info]   at java.base/sun.nio.fs.UnixFileSystemProvider.readAttributes(UnixFileSystemProvider.java:148)
[info]   at java.base/java.nio.file.Files.readAttributes(Files.java:1851)
[info]   at org.apache.spark.network.util.JavaUtils.deleteRecursivelyUsingJavaIO(JavaUtils.java:126)
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

This is difficult to test this `private static` Java method. I tested this with #45344 .

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45346 from dongjoon-hyun/SPARK-47236.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 1cd7bab5c5c2bd8d595b131c88e6576486dbf123)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/java/org/apache/spark/network/util/JavaUtils.java   | 1 +
 1 file changed, 1 insertion(+)

diff --git a/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java b/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
index bbe764b8366c8..d6603dcbee1ae 100644
--- a/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
+++ b/common/utils/src/main/java/org/apache/spark/network/util/JavaUtils.java
@@ -120,6 +120,7 @@ public static void deleteRecursively(File file, FilenameFilter filter) throws IO
   private static void deleteRecursivelyUsingJavaIO(
       File file,
       FilenameFilter filter) throws IOException {
+    if (!file.exists()) return;
     BasicFileAttributes fileAttributes =
       Files.readAttributes(file.toPath(), BasicFileAttributes.class);
     if (fileAttributes.isDirectory() && !isSymlink(file)) {

From 899153039023f2a12f43813028dcb54c9e880eda Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 29 Feb 2024 10:56:26 +0900
Subject: [PATCH 602/986] [SPARK-47202][PYTHON][TESTS][FOLLOW-UP] Run the test
 only with Python 3.9+

This PR proposes to run the tzinfo test only with Python 3.9+. This is a followup of https://github.com/apache/spark/pull/45308.

To make the Python build passing with Python 3.8. It fails as below:

```python
Starting test(pypy3): pyspark.sql.tests.test_arrow (temp output: /__w/spark/spark/python/target/605c2e61-b7c8-4898-ac7b-1d86f495bd4f/pypy3__pyspark.sql.tests.test_arrow__qrwyvw4l.log)
Traceback (most recent call last):
  File "/usr/local/pypy/pypy3.8/lib/pypy3.8/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/local/pypy/pypy3.8/lib/pypy3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/__w/spark/spark/python/pyspark/sql/tests/test_arrow.py", line 26, in <module>
    from zoneinfo import ZoneInfo
ModuleNotFoundError: No module named 'zoneinfo'
```

https://github.com/apache/spark/actions/runs/8082492167/job/22083534905

No, test-only.

CI in this PR should test it out.

No,

Closes #45324 from HyukjinKwon/SPARK-47202-followup2.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 11e8ae42af9234adf56dc2f32b92e87697c777e4)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/connect/test_parity_arrow.py | 2 ++
 python/pyspark/sql/tests/test_arrow.py                | 5 ++++-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/connect/test_parity_arrow.py b/python/pyspark/sql/tests/connect/test_parity_arrow.py
index 55e689da8fdd1..abcf839f0fc56 100644
--- a/python/pyspark/sql/tests/connect/test_parity_arrow.py
+++ b/python/pyspark/sql/tests/connect/test_parity_arrow.py
@@ -16,6 +16,7 @@
 #
 
 import unittest
+import sys
 from distutils.version import LooseVersion
 
 import pandas as pd
@@ -136,6 +137,7 @@ def test_createDataFrame_nested_timestamp(self):
     def test_toPandas_nested_timestamp(self):
         self.check_toPandas_nested_timestamp(True)
 
+    @unittest.skipIf(sys.version_info < (3, 9), "zoneinfo is available from Python 3.9+")
     def test_toPandas_timestmap_tzinfo(self):
         self.check_toPandas_timestmap_tzinfo(True)
 
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 6e462d38d8e5f..a333318b777e9 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -25,7 +25,7 @@
 from distutils.version import LooseVersion
 from typing import cast
 from collections import namedtuple
-from zoneinfo import ZoneInfo
+import sys
 
 from pyspark import SparkContext, SparkConf
 from pyspark.sql import Row, SparkSession
@@ -1092,6 +1092,7 @@ def check_createDataFrame_nested_timestamp(self, arrow_enabled):
 
         self.assertEqual(df.first(), expected)
 
+    @unittest.skipIf(sys.version_info < (3, 9), "zoneinfo is available from Python 3.9+")
     def test_toPandas_timestmap_tzinfo(self):
         for arrow_enabled in [True, False]:
             with self.subTest(arrow_enabled=arrow_enabled):
@@ -1099,6 +1100,8 @@ def test_toPandas_timestmap_tzinfo(self):
 
     def check_toPandas_timestmap_tzinfo(self, arrow_enabled):
         # SPARK-47202: Test timestamp with tzinfo in toPandas and createDataFrame
+        from zoneinfo import ZoneInfo
+
         ts_tzinfo = datetime.datetime(2023, 1, 1, 0, 0, 0, tzinfo=ZoneInfo("America/Los_Angeles"))
         data = pd.DataFrame({"a": [ts_tzinfo]})
         df = self.spark.createDataFrame(data)

From 14762b372dd623179aa2c985c44cd49048660dda Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 5 Mar 2024 10:13:00 +0800
Subject: [PATCH 603/986] [SPARK-47177][SQL] Cached SQL plan do not display
 final AQE plan in explain string

### What changes were proposed in this pull request?

This pr adds lock for ExplainUtils.processPlan to avoid tag race condition.

### Why are the changes needed?

To fix the issue [SPARK-47177](https://issues.apache.org/jira/browse/SPARK-47177)

### Does this PR introduce _any_ user-facing change?

yes, affect plan explain

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #45282 from ulysses-you/SPARK-47177.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
(cherry picked from commit 6e62a5690b810edb99e4fc6ad39afbd4d49ef85e)
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../spark/sql/catalyst/trees/TreeNode.scala   |  7 ++--
 .../spark/sql/execution/ExplainUtils.scala    |  6 ++-
 .../execution/columnar/InMemoryRelation.scala | 12 +-----
 .../columnar/InMemoryRelationSuite.scala      | 41 +++++++++++++------
 4 files changed, 38 insertions(+), 28 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
index 9e605a45414be..82228a5b2aafd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
@@ -1030,10 +1030,11 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
     append(str)
     append("\n")
 
-    if (innerChildren.nonEmpty) {
+    val innerChildrenLocal = innerChildren
+    if (innerChildrenLocal.nonEmpty) {
       lastChildren.add(children.isEmpty)
       lastChildren.add(false)
-      innerChildren.init.foreach(_.generateTreeString(
+      innerChildrenLocal.init.foreach(_.generateTreeString(
         depth + 2, lastChildren, append, verbose,
         addSuffix = addSuffix, maxFields = maxFields, printNodeId = printNodeId, indent = indent))
       lastChildren.remove(lastChildren.size() - 1)
@@ -1041,7 +1042,7 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]]
 
       lastChildren.add(children.isEmpty)
       lastChildren.add(true)
-      innerChildren.last.generateTreeString(
+      innerChildrenLocal.last.generateTreeString(
         depth + 2, lastChildren, append, verbose,
         addSuffix = addSuffix, maxFields = maxFields, printNodeId = printNodeId, indent = indent)
       lastChildren.remove(lastChildren.size() - 1)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
index 3da3e646f36b0..11f6ae0e47ee1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
@@ -75,8 +75,12 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
    * Given a input physical plan, performs the following tasks.
    *   1. Generates the explain output for the input plan excluding the subquery plans.
    *   2. Generates the explain output for each subquery referenced in the plan.
+   *
+   * Note that, ideally this is a no-op as different explain actions operate on different plan,
+   * instances but cached plan is an exception. The `InMemoryRelation#innerChildren` use a shared
+   * plan instance across multi-queries. Add lock for this method to avoid tag race condition.
    */
-  def processPlan[T <: QueryPlan[T]](plan: T, append: String => Unit): Unit = {
+  def processPlan[T <: QueryPlan[T]](plan: T, append: String => Unit): Unit = synchronized {
     try {
       // Initialize a reference-unique set of Operators to avoid accdiental overwrites and to allow
       // intentional overwriting of IDs generated in previous AQE iteration
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
index 5bab8e53eb163..f750a4503be16 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
@@ -392,17 +392,7 @@ case class InMemoryRelation(
 
   @volatile var statsOfPlanToCache: Statistics = null
 
-
-  override lazy val innerChildren: Seq[SparkPlan] = {
-    // The cachedPlan needs to be cloned here because it does not get cloned when SparkPlan.clone is
-    // called. This is a problem because when the explain output is generated for
-    // a plan it traverses the innerChildren and modifies their TreeNode.tags. If the plan is not
-    // cloned, there is a thread safety issue in the case that two plans with a shared cache
-    // operator have explain called at the same time. The cachedPlan cannot be cloned because
-    // it contains stateful information so we only clone it for the purpose of generating the
-    // explain output.
-    Seq(cachedPlan.clone())
-  }
+  override def innerChildren: Seq[SparkPlan] = Seq(cachedPlan)
 
   override def doCanonicalize(): logical.LogicalPlan =
     copy(output = output.map(QueryPlan.normalizeExpressions(_, output)),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
index a5c5ec40af6fe..2c73622739a51 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryRelationSuite.scala
@@ -18,22 +18,14 @@
 package org.apache.spark.sql.execution.columnar
 
 import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.execution.SparkPlan
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+import org.apache.spark.sql.functions.expr
 import org.apache.spark.sql.test.SharedSparkSessionBase
 import org.apache.spark.storage.StorageLevel
 
-class InMemoryRelationSuite extends SparkFunSuite with SharedSparkSessionBase {
-  test("SPARK-43157: Clone innerChildren cached plan") {
-    val d = spark.range(1)
-    val relation = InMemoryRelation(StorageLevel.MEMORY_ONLY, d.queryExecution, None)
-    val cloned = relation.clone().asInstanceOf[InMemoryRelation]
-
-    val relationCachedPlan = relation.innerChildren.head
-    val clonedCachedPlan = cloned.innerChildren.head
-
-    // verify the plans are not the same object but are logically equivalent
-    assert(!relationCachedPlan.eq(clonedCachedPlan))
-    assert(relationCachedPlan === clonedCachedPlan)
-  }
+class InMemoryRelationSuite extends SparkFunSuite
+  with SharedSparkSessionBase with AdaptiveSparkPlanHelper {
 
   test("SPARK-46779: InMemoryRelations with the same cached plan are semantically equivalent") {
     val d = spark.range(1)
@@ -41,4 +33,27 @@ class InMemoryRelationSuite extends SparkFunSuite with SharedSparkSessionBase {
     val r2 = r1.withOutput(r1.output.map(_.newInstance()))
     assert(r1.sameResult(r2))
   }
+
+  test("SPARK-47177: Cached SQL plan do not display final AQE plan in explain string") {
+    def findIMRInnerChild(p: SparkPlan): SparkPlan = {
+      val tableCache = find(p) {
+        case _: InMemoryTableScanExec => true
+        case _ => false
+      }
+      assert(tableCache.isDefined)
+      tableCache.get.asInstanceOf[InMemoryTableScanExec].relation.innerChildren.head
+    }
+
+    val d1 = spark.range(1).withColumn("key", expr("id % 100"))
+      .groupBy("key").agg(Map("key" -> "count"))
+    val cached_d2 = d1.cache()
+    val df = cached_d2.withColumn("key2", expr("key % 10"))
+      .groupBy("key2").agg(Map("key2" -> "count"))
+
+    assert(findIMRInnerChild(df.queryExecution.executedPlan).treeString
+      .contains("AdaptiveSparkPlan isFinalPlan=false"))
+    df.collect()
+    assert(findIMRInnerChild(df.queryExecution.executedPlan).treeString
+      .contains("AdaptiveSparkPlan isFinalPlan=true"))
+  }
 }

From e9f7d36797c4344295556463da16f891bb96d8ac Mon Sep 17 00:00:00 2001
From: JacobZheng0927 <zsh517559523@163.com>
Date: Tue, 5 Mar 2024 20:35:42 -0600
Subject: [PATCH 604/986] [SPARK-47146][CORE][3.5] Possible thread leak when
 doing sort merge join

This pr backport https://github.com/apache/spark/pull/45327 to branch-3.5

### What changes were proposed in this pull request? Add TaskCompletionListener to close inputStream to avoid thread leakage caused by unclosed ReadAheadInputStream.

### Why are the changes needed?
To fix the issue SPARK-47146

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit test

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45390 from JacobZheng0927/SPARK-47146-3.5.

Authored-by: JacobZheng0927 <zsh517559523@163.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
---
 .../unsafe/sort/UnsafeSorterSpillReader.java  | 12 +++++++
 .../org/apache/spark/sql/JoinSuite.scala      | 33 ++++++++++++++++++-
 2 files changed, 44 insertions(+), 1 deletion(-)

diff --git a/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java b/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
index db79efd008530..8bd44c8c52c14 100644
--- a/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
+++ b/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
@@ -28,6 +28,8 @@
 import org.apache.spark.serializer.SerializerManager;
 import org.apache.spark.storage.BlockId;
 import org.apache.spark.unsafe.Platform;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 
 import java.io.*;
 
@@ -36,6 +38,7 @@
  * of the file format).
  */
 public final class UnsafeSorterSpillReader extends UnsafeSorterIterator implements Closeable {
+  private static final Logger logger = LoggerFactory.getLogger(ReadAheadInputStream.class);
   public static final int MAX_BUFFER_SIZE_BYTES = 16777216; // 16 mb
 
   private InputStream in;
@@ -82,6 +85,15 @@ public UnsafeSorterSpillReader(
       Closeables.close(bs, /* swallowIOException = */ true);
       throw e;
     }
+    if (taskContext != null) {
+      taskContext.addTaskCompletionListener(context -> {
+        try {
+          close();
+        } catch (IOException e) {
+          logger.info("error while closing UnsafeSorterSpillReader", e);
+        }
+      });
+    }
   }
 
   @Override
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
index 9dcf7ec29048d..4d256154c8574 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
@@ -25,6 +25,7 @@ import scala.collection.mutable.ListBuffer
 import org.mockito.Mockito._
 
 import org.apache.spark.TestUtils.{assertNotSpilled, assertSpilled}
+import org.apache.spark.internal.config.SHUFFLE_SPILL_NUM_ELEMENTS_FORCE_SPILL_THRESHOLD
 import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
 import org.apache.spark.sql.catalyst.expressions.{Ascending, GenericRow, SortOrder}
@@ -36,7 +37,7 @@ import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExch
 import org.apache.spark.sql.execution.joins._
 import org.apache.spark.sql.execution.python.BatchEvalPythonExec
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.test.{SharedSparkSession, TestSparkSession}
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.tags.SlowSQLTest
 
@@ -1756,3 +1757,33 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
     }
   }
 }
+
+class ThreadLeakInSortMergeJoinSuite
+  extends QueryTest
+    with SharedSparkSession
+    with AdaptiveSparkPlanHelper {
+
+  setupTestData()
+  override protected def createSparkSession: TestSparkSession = {
+    SparkSession.cleanupAnyExistingSession()
+    new TestSparkSession(
+      sparkConf.set(SHUFFLE_SPILL_NUM_ELEMENTS_FORCE_SPILL_THRESHOLD, 20))
+  }
+
+  test("SPARK-47146: thread leak when doing SortMergeJoin (with spill)") {
+
+    withSQLConf(
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "1") {
+
+      assertSpilled(sparkContext, "inner join") {
+        sql("SELECT * FROM testData JOIN testData2 ON key = a").collect()
+      }
+
+      val readAheadThread = Thread.getAllStackTraces.keySet().asScala
+        .find {
+          _.getName.startsWith("read-ahead")
+        }
+      assert(readAheadThread.isEmpty)
+    }
+  }
+}

From ba229613c08eeecd6688cae3f7f2b7a267354125 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Wed, 6 Mar 2024 12:25:32 +0900
Subject: [PATCH 605/986] [SPARK-47277][3.5] PySpark util function
 assertDataFrameEqual should not support streaming DF

### What changes were proposed in this pull request?

Backport https://github.com/apache/spark/pull/45380 to branch-3.5

The handy util function should not support streaming dataframes, currently if you call it upon streaming queries, it throws a relatively hard-to-understand error:
```
>>> df1 = spark.readStream.format("rate").load()
>>> df2 = spark.readStream.format("rate").load()
>>> from pyspark.testing.utils import QuietTest, assertDataFrameEqual
>>> assertDataFrameEqual(df1, df2)
/Users/wei.liu/oss-spark/python/pyspark/pandas/__init__.py:43: UserWarning: 'PYARROW_IGNORE_TIMEZONE' environment variable was not set. It is required to set this environment variable to '1' in both driver and executor sides if you use pyarrow>=2.0.0. pandas-on-Spark will set it for you but it does not work if there is a Spark context already launched.
  warnings.warn(
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/wei.liu/oss-spark/python/pyspark/testing/utils.py", line 936, in assertDataFrameEqual
    actual_list = actual.collect()
  File "/Users/wei.liu/oss-spark/python/pyspark/sql/dataframe.py", line 1453, in collect
    sock_info = self._jdf.collectToPython()
  File "/Users/wei.liu/oss-spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
  File "/Users/wei.liu/oss-spark/python/pyspark/errors/exceptions/captured.py", line 221, in deco
    raise converted from None
pyspark.errors.exceptions.captured.AnalysisException: Queries with streaming sources must be executed with writeStream.start();
rate
```
Because the function calls `collect` which is not supported on streaming dataframes. It'd be good if we can catch this earlier.

### Why are the changes needed?

Improve usability

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit test

### Was this patch authored or co-authored using generative AI tooling?

Generated-by: Github Copilot
It helped me to pick the error class UNSUPPORTED_OPERATION

Closes #45395 from WweiL/assertDFEqual-3.5.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_utils.py | 12 ++++++++++++
 python/pyspark/testing/utils.py        | 10 ++++++++++
 2 files changed, 22 insertions(+)

diff --git a/python/pyspark/sql/tests/test_utils.py b/python/pyspark/sql/tests/test_utils.py
index e1b7f298d0a8b..dc25fc116a8bd 100644
--- a/python/pyspark/sql/tests/test_utils.py
+++ b/python/pyspark/sql/tests/test_utils.py
@@ -1611,6 +1611,18 @@ def test_list_row_unequal_schema(self):
             message_parameters={"error_msg": error_msg},
         )
 
+    def test_assert_data_frame_equal_not_support_streaming(self):
+        df1 = self.spark.readStream.format("rate").load()
+        df2 = self.spark.readStream.format("rate").load()
+        exception_thrown = False
+        try:
+            assertDataFrameEqual(df1, df2)
+        except PySparkAssertionError as e:
+            self.assertEqual(e.getErrorClass(), "UNSUPPORTED_OPERATION")
+            exception_thrown = True
+
+        self.assertTrue(exception_thrown)
+
 
 class UtilsTests(ReusedSQLTestCase, UtilsTestsMixin):
     def test_capture_analysis_exception(self):
diff --git a/python/pyspark/testing/utils.py b/python/pyspark/testing/utils.py
index 7dd723634e2f9..aa927ed1c4c2b 100644
--- a/python/pyspark/testing/utils.py
+++ b/python/pyspark/testing/utils.py
@@ -587,11 +587,21 @@ def assert_rows_equal(rows1: List[Row], rows2: List[Row]):
         assertSchemaEqual(actual.schema, expected.schema)
 
     if not isinstance(actual, list):
+        if actual.isStreaming:
+            raise PySparkAssertionError(
+                error_class="UNSUPPORTED_OPERATION",
+                message_parameters={"operation": "assertDataFrameEqual on streaming DataFrame"},
+            )
         actual_list = actual.collect()
     else:
         actual_list = actual
 
     if not isinstance(expected, list):
+        if expected.isStreaming:
+            raise PySparkAssertionError(
+                error_class="UNSUPPORTED_OPERATION",
+                message_parameters={"operation": "assertDataFrameEqual on streaming DataFrame"},
+            )
         expected_list = expected.collect()
     else:
         expected_list = expected

From 3f547694978db178ab409f8ee101efe485c6df63 Mon Sep 17 00:00:00 2001
From: JacobZheng0927 <zsh517559523@163.com>
Date: Wed, 6 Mar 2024 21:59:52 +0900
Subject: [PATCH 606/986] [SPARK-47146][CORE][FOLLOWUP] Rename incorrect logger
 name

### What changes were proposed in this pull request?
Rename incorrect logger name in `UnsafeSorterSpillReader`.

### Why are the changes needed?
The logger name in UnsafeSorterSpillReader is incorrect.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45404 from JacobZheng0927/loggerNameFix.

Authored-by: JacobZheng0927 <zsh517559523@163.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5089140e2e6a43ffef584b42aed5cd9bc11268b6)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../util/collection/unsafe/sort/UnsafeSorterSpillReader.java    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java b/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
index 8bd44c8c52c14..cf29835b2ce89 100644
--- a/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
+++ b/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeSorterSpillReader.java
@@ -38,7 +38,7 @@
  * of the file format).
  */
 public final class UnsafeSorterSpillReader extends UnsafeSorterIterator implements Closeable {
-  private static final Logger logger = LoggerFactory.getLogger(ReadAheadInputStream.class);
+  private static final Logger logger = LoggerFactory.getLogger(UnsafeSorterSpillReader.class);
   public static final int MAX_BUFFER_SIZE_BYTES = 16777216; // 16 mb
 
   private InputStream in;

From 679f3b1e5e965a6be12823faf012d0680771a5e2 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Thu, 7 Mar 2024 15:11:15 +0900
Subject: [PATCH 607/986] [SPARK-47305][SQL] Fix PruneFilters to tag the
 isStreaming flag of LocalRelation correctly when the plan has both batch and
 streaming

### What changes were proposed in this pull request?

This PR proposes to fix PruneFilters to tag the isStreaming flag of LocalRelation correctly when the plan has both batch and streaming.

### Why are the changes needed?

When filter is evaluated to be always false, PruneFilters replaces the filter with empty LocalRelation, which effectively prunes filter. The logic cares about migration of the isStreaming flag, but incorrectly migrated in some case, via picking up the value of isStreaming flag from root node rather than filter (or child).

isStreaming flag is true if the value of isStreaming flag from any of children is true. Flipping the coin, some children might have isStreaming flag as "false". If the filter being pruned is a descendant to such children (in other word, ancestor of streaming node), LocalRelation is incorrectly tagged as streaming where it should be batch.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New UT verifying the fix. The new UT fails without this PR and passes with this PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45406 from HeartSaVioR/SPARK-47305.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 8d6bd9bbd29da6023e5740b622e12c7e1f8581ce)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    |  4 +-
 .../PropagateEmptyRelationSuite.scala         | 43 ++++++++++++++++++-
 2 files changed, 43 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 04d3eb962ed44..239682ab1f847 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -1668,9 +1668,9 @@ object PruneFilters extends Rule[LogicalPlan] with PredicateHelper {
     // If the filter condition always evaluate to null or false,
     // replace the input with an empty relation.
     case Filter(Literal(null, _), child) =>
-      LocalRelation(child.output, data = Seq.empty, isStreaming = plan.isStreaming)
+      LocalRelation(child.output, data = Seq.empty, isStreaming = child.isStreaming)
     case Filter(Literal(false, BooleanType), child) =>
-      LocalRelation(child.output, data = Seq.empty, isStreaming = plan.isStreaming)
+      LocalRelation(child.output, data = Seq.empty, isStreaming = child.isStreaming)
     // If any deterministic condition is guaranteed to be true given the constraints on the child's
     // output, remove the condition
     case f @ Filter(fc, p: LogicalPlan) =>
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
index e8d2ca1ff75de..5aeb27f7ee6b4 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
@@ -21,10 +21,10 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow}
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.{Literal, UnspecifiedFrame}
+import org.apache.spark.sql.catalyst.expressions.{EqualTo, Literal, UnspecifiedFrame}
 import org.apache.spark.sql.catalyst.expressions.Literal.FalseLiteral
 import org.apache.spark.sql.catalyst.plans._
-import org.apache.spark.sql.catalyst.plans.logical.{Expand, LocalRelation, LogicalPlan, Project}
+import org.apache.spark.sql.catalyst.plans.logical.{Expand, Filter, LocalRelation, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.types.{IntegerType, MetadataBuilder}
@@ -222,6 +222,45 @@ class PropagateEmptyRelationSuite extends PlanTest {
     comparePlans(optimized, correctAnswer)
   }
 
+  test("SPARK-47305 correctly tag isStreaming when propagating empty relation " +
+    "with the plan containing batch and streaming") {
+    val data = Seq(Row(1))
+
+    val outputForStream = Seq($"a".int)
+    val schemaForStream = DataTypeUtils.fromAttributes(outputForStream)
+    val converterForStream = CatalystTypeConverters.createToCatalystConverter(schemaForStream)
+
+    val outputForBatch = Seq($"b".int)
+    val schemaForBatch = DataTypeUtils.fromAttributes(outputForBatch)
+    val converterForBatch = CatalystTypeConverters.createToCatalystConverter(schemaForBatch)
+
+    val streamingRelation = LocalRelation(
+      outputForStream,
+      data.map(converterForStream(_).asInstanceOf[InternalRow]),
+      isStreaming = true)
+    val batchRelation = LocalRelation(
+      outputForBatch,
+      data.map(converterForBatch(_).asInstanceOf[InternalRow]),
+      isStreaming = false)
+
+    val query = streamingRelation
+      .join(batchRelation.where(false).select($"b"), LeftOuter,
+        Some(EqualTo($"a", $"b")))
+
+    val analyzedQuery = query.analyze
+
+    val optimized = Optimize.execute(analyzedQuery)
+    // This is to deal with analysis for join condition. We expect the analyzed plan to contain
+    // filter and projection in batch relation, and know they will go away after optimization.
+    // The point to check here is that the node is replaced with "empty" LocalRelation, but the
+    // flag `isStreaming` is properly propagated.
+    val correctAnswer = analyzedQuery transform {
+      case Project(_, Filter(_, l: LocalRelation)) => l.copy(data = Seq.empty)
+    }
+
+    comparePlans(optimized, correctAnswer)
+  }
+
   test("don't propagate empty streaming relation through agg") {
     val output = Seq($"a".int)
     val data = Seq(Row(1))

From 37307fb0d14e03b1085ed12d8d540d2606bf1e9d Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 7 Mar 2024 17:02:09 +0800
Subject: [PATCH 608/986] [SPARK-47241][SQL] Fix rule order issues for
 ExtractGenerator

### What changes were proposed in this pull request?

The rule `ExtractGenerator` does not define any trigger condition when rewriting generator functions in `Project`, which makes the behavior quite unstable and heavily depends on the execution order of analyzer rules.

Two bugs I've found so far:
1. By design, we want to forbid users from using more than one generator function in SELECT. However, we can't really enforce it if two generator functions are not resolved at the same time: the rule thinks there is only one generate function (the other is still unresolved), then rewrite it. The other one gets resolved later and gets rewritten later.
2. When a generator function is put after `SELECT *`, it's possible that `*` is not expanded yet when we enter `ExtractGenerator`. The rule rewrites the generator function: insert a `Generate` operator below, and add a new column to the projectList for the generator function output. Then we expand `*` to the child plan output which is `Generate`, we end up with two identical columns for the generate function output.

This PR fixes it by adding a trigger condition when rewriting generator functions in `Project`: the projectList should be resolved or a generator function. This is the same trigger condition we used for `Aggregate`. To avoid breaking changes, this PR also allows multiple generator functions in `Project`, which works totally fine.
### Why are the changes needed?

bug fix

### Does this PR introduce _any_ user-facing change?

Yes, now multiple generator functions are allowed in `Project`. And there won't be duplicated columns for generator function output.

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45350 from cloud-fan/generate.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 51f4cfa7560bba576577d3a5f254daaad516849d)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../main/resources/error/error-classes.json   |  2 +-
 ...tions-unsupported-generator-error-class.md |  2 +-
 .../sql/catalyst/analysis/Analyzer.scala      | 43 ++++++++++++-------
 .../sql/catalyst/analysis/CheckAnalysis.scala | 10 -----
 .../sql/errors/QueryCompilationErrors.scala   |  3 +-
 .../analysis/AnalysisErrorSuite.scala         | 14 +-----
 .../org/apache/spark/sql/DataFrameSuite.scala | 14 ------
 .../spark/sql/GeneratorFunctionSuite.scala    | 27 +++++++++++-
 .../errors/QueryCompilationErrorsSuite.scala  | 12 ------
 .../sql/hive/execution/HiveQuerySuite.scala   | 22 ----------
 10 files changed, 57 insertions(+), 92 deletions(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 2d50fe1a1a1a8..b9d4c2c297f84 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -3056,7 +3056,7 @@
     "subClass" : {
       "MULTI_GENERATOR" : {
         "message" : [
-          "only one generator allowed per <clause> clause but found <num>: <generators>."
+          "only one generator allowed per SELECT clause but found <num>: <generators>."
         ]
       },
       "NESTED_IN_EXPRESSIONS" : {
diff --git a/docs/sql-error-conditions-unsupported-generator-error-class.md b/docs/sql-error-conditions-unsupported-generator-error-class.md
index 7960c14767d17..38b3bbfaa3c3c 100644
--- a/docs/sql-error-conditions-unsupported-generator-error-class.md
+++ b/docs/sql-error-conditions-unsupported-generator-error-class.md
@@ -27,7 +27,7 @@ This error class has the following derived error classes:
 
 ## MULTI_GENERATOR
 
-only one generator allowed per `<clause>` clause but found `<num>`: `<generators>`.
+only one generator allowed per SELECT clause but found `<num>`: `<generators>`.
 
 ## NESTED_IN_EXPRESSIONS
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 8fe87a05d02d3..eae150001249e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -2742,28 +2742,36 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       }
     }
 
+    // We must wait until all expressions except for generator functions are resolved before
+    // rewriting generator functions in Project/Aggregate. This is necessary to make this rule
+    // stable for different execution orders of analyzer rules. See also SPARK-47241.
+    private def canRewriteGenerator(namedExprs: Seq[NamedExpression]): Boolean = {
+      namedExprs.forall { ne =>
+        ne.resolved || {
+          trimNonTopLevelAliases(ne) match {
+            case AliasedGenerator(_, _, _) => true
+            case _ => false
+          }
+        }
+      }
+    }
+
     def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUpWithPruning(
       _.containsPattern(GENERATOR), ruleId) {
       case Project(projectList, _) if projectList.exists(hasNestedGenerator) =>
         val nestedGenerator = projectList.find(hasNestedGenerator).get
         throw QueryCompilationErrors.nestedGeneratorError(trimAlias(nestedGenerator))
 
-      case Project(projectList, _) if projectList.count(hasGenerator) > 1 =>
-        val generators = projectList.filter(hasGenerator).map(trimAlias)
-        throw QueryCompilationErrors.moreThanOneGeneratorError(generators, "SELECT")
-
       case Aggregate(_, aggList, _) if aggList.exists(hasNestedGenerator) =>
         val nestedGenerator = aggList.find(hasNestedGenerator).get
         throw QueryCompilationErrors.nestedGeneratorError(trimAlias(nestedGenerator))
 
       case Aggregate(_, aggList, _) if aggList.count(hasGenerator) > 1 =>
         val generators = aggList.filter(hasGenerator).map(trimAlias)
-        throw QueryCompilationErrors.moreThanOneGeneratorError(generators, "aggregate")
+        throw QueryCompilationErrors.moreThanOneGeneratorError(generators)
 
-      case agg @ Aggregate(groupList, aggList, child) if aggList.forall {
-          case AliasedGenerator(_, _, _) => true
-          case other => other.resolved
-        } && aggList.exists(hasGenerator) =>
+      case Aggregate(groupList, aggList, child) if canRewriteGenerator(aggList) &&
+          aggList.exists(hasGenerator) =>
         // If generator in the aggregate list was visited, set the boolean flag true.
         var generatorVisited = false
 
@@ -2808,16 +2816,16 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
         // first for replacing `Project` with `Aggregate`.
         p
 
-      case p @ Project(projectList, child) =>
+      case p @ Project(projectList, child) if canRewriteGenerator(projectList) &&
+          projectList.exists(hasGenerator) =>
         val (resolvedGenerator, newProjectList) = projectList
           .map(trimNonTopLevelAliases)
           .foldLeft((None: Option[Generate], Nil: Seq[NamedExpression])) { (res, e) =>
             e match {
-              case AliasedGenerator(generator, names, outer) if generator.childrenResolved =>
-                // It's a sanity check, this should not happen as the previous case will throw
-                // exception earlier.
-                assert(res._1.isEmpty, "More than one generator found in SELECT.")
-
+              // If there are more than one generator, we only rewrite the first one and wait for
+              // the next analyzer iteration to rewrite the next one.
+              case AliasedGenerator(generator, names, outer) if res._1.isEmpty &&
+                  generator.childrenResolved =>
                 val g = Generate(
                   generator,
                   unrequiredChildIndex = Nil,
@@ -2825,7 +2833,6 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
                   qualifier = None,
                   generatorOutput = ResolveGenerate.makeGeneratorOutput(generator, names),
                   child)
-
                 (Some(g), res._2 ++ g.nullableOutput)
               case other =>
                 (res._1, res._2 :+ other)
@@ -2845,6 +2852,10 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
 
       case u: UnresolvedTableValuedFunction => u
 
+      case p: Project => p
+
+      case a: Aggregate => a
+
       case p if p.expressions.exists(hasGenerator) =>
         throw QueryCompilationErrors.generatorOutsideSelectError(p)
     }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 533ea8a2b7998..7f10bdbc80ca9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -64,12 +64,6 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
       messageParameters = messageParameters)
   }
 
-  protected def containsMultipleGenerators(exprs: Seq[Expression]): Boolean = {
-    exprs.flatMap(_.collect {
-      case e: Generator => e
-    }).length > 1
-  }
-
   protected def hasMapType(dt: DataType): Boolean = {
     dt.existsRecursively(_.isInstanceOf[MapType])
   }
@@ -687,10 +681,6 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
                 ))
             }
 
-          case p @ Project(exprs, _) if containsMultipleGenerators(exprs) =>
-            val generators = exprs.filter(expr => expr.exists(_.isInstanceOf[Generator]))
-            throw QueryCompilationErrors.moreThanOneGeneratorError(generators, "SELECT")
-
           case p @ Project(projectList, _) =>
             projectList.foreach(_.transformDownWithPruning(
               _.containsPattern(UNRESOLVED_WINDOW_EXPRESSION)) {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 9dca2c5f2822e..a78e092c4bfa9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -248,11 +248,10 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
       messageParameters = Map("expression" -> toSQLExpr(trimmedNestedGenerator)))
   }
 
-  def moreThanOneGeneratorError(generators: Seq[Expression], clause: String): Throwable = {
+  def moreThanOneGeneratorError(generators: Seq[Expression]): Throwable = {
     new AnalysisException(
       errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
       messageParameters = Map(
-        "clause" -> clause,
         "num" -> generators.size.toString,
         "generators" -> generators.map(toSQLExpr).mkString(", ")))
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index e2e980073307d..e8dc9061199cf 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -344,11 +344,6 @@ class AnalysisErrorSuite extends AnalysisTest {
       "inputType" -> "\"BOOLEAN\"",
       "requiredType" -> "\"INT\""))
 
-  errorTest(
-    "too many generators",
-    listRelation.select(Explode($"list").as("a"), Explode($"list").as("b")),
-    "only one generator" :: "explode" :: Nil)
-
   errorClassTest(
     "unresolved attributes",
     testRelation.select($"abcd"),
@@ -754,18 +749,11 @@ class AnalysisErrorSuite extends AnalysisTest {
     "SUM_OF_LIMIT_AND_OFFSET_EXCEEDS_MAX_INT",
     Map("limit" -> "1000000000", "offset" -> "2000000000"))
 
-  errorTest(
-    "more than one generators in SELECT",
-    listRelation.select(Explode($"list"), Explode($"list")),
-    "The generator is not supported: only one generator allowed per select clause but found 2: " +
-      """"explode(list)", "explode(list)"""" :: Nil
-  )
-
   errorTest(
     "more than one generators for aggregates in SELECT",
     testRelation.select(Explode(CreateArray(min($"a") :: Nil)),
       Explode(CreateArray(max($"a") :: Nil))),
-    "The generator is not supported: only one generator allowed per select clause but found 2: " +
+    "The generator is not supported: only one generator allowed per SELECT clause but found 2: " +
       """"explode(array(min(a)))", "explode(array(max(a)))"""" :: Nil
   )
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 002719f06896d..c586da6105fde 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -368,20 +368,6 @@ class DataFrameSuite extends QueryTest
       Row("a", Seq("a"), 1) :: Nil)
   }
 
-  test("more than one generator in SELECT clause") {
-    val df = Seq((Array("a"), 1)).toDF("a", "b")
-
-    checkError(
-      exception = intercept[AnalysisException] {
-        df.select(explode($"a").as("a"), explode($"a").as("b"))
-      },
-      errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
-      parameters = Map(
-        "clause" -> "SELECT",
-        "num" -> "2",
-        "generators" -> "\"explode(a)\", \"explode(a)\""))
-  }
-
   test("sort after generate with join=true") {
     val df = Seq((Array("a"), 1)).toDF("a", "b")
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
index 0746a4b92af29..7c285759fcd9c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/GeneratorFunctionSuite.scala
@@ -432,7 +432,6 @@ class GeneratorFunctionSuite extends QueryTest with SharedSparkSession {
         },
         errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
         parameters = Map(
-          "clause" -> "aggregate",
           "num" -> "2",
           "generators" -> ("\"explode(array(min(c2), max(c2)))\", " +
             "\"posexplode(array(min(c2), max(c2)))\"")))
@@ -543,6 +542,32 @@ class GeneratorFunctionSuite extends QueryTest with SharedSparkSession {
       checkAnswer(df, Row(0.7604953758285915d))
     }
   }
+
+  test("SPARK-47241: two generator functions in SELECT") {
+    def testTwoGenerators(needImplicitCast: Boolean): Unit = {
+      val df = sql(
+        s"""
+          |SELECT
+          |explode(array('a', 'b')) as c1,
+          |explode(array(0L, ${if (needImplicitCast) "0L + 1" else "1L"})) as c2
+          |""".stripMargin)
+      checkAnswer(df, Seq(Row("a", 0L), Row("a", 1L), Row("b", 0L), Row("b", 1L)))
+    }
+    testTwoGenerators(needImplicitCast = true)
+    testTwoGenerators(needImplicitCast = false)
+  }
+
+  test("SPARK-47241: generator function after wildcard in SELECT") {
+    val df = sql(
+      s"""
+         |SELECT *, explode(array('a', 'b')) as c1
+         |FROM
+         |(
+         |  SELECT id FROM range(1) GROUP BY 1
+         |)
+         |""".stripMargin)
+    checkAnswer(df, Seq(Row(0, "a"), Row(0, "b")))
+  }
 }
 
 case class EmptyGenerator() extends Generator with LeafLike[Expression] {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
index 7f938deaaa645..ac57c958828b6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
@@ -646,18 +646,6 @@ class QueryCompilationErrorsSuite
       parameters = Map("expression" -> "\"(explode(array(1, 2, 3)) + 1)\""))
   }
 
-  test("UNSUPPORTED_GENERATOR: only one generator allowed") {
-    val e = intercept[AnalysisException](
-      sql("""select explode(Array(1, 2, 3)), explode(Array(1, 2, 3))""").collect()
-    )
-
-    checkError(
-      exception = e,
-      errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
-      parameters = Map("clause" -> "SELECT", "num" -> "2",
-        "generators" -> "\"explode(array(1, 2, 3))\", \"explode(array(1, 2, 3))\""))
-  }
-
   test("UNSUPPORTED_GENERATOR: generators are not supported outside the SELECT clause") {
     val e = intercept[AnalysisException](
       sql("""select 1 from t order by explode(Array(1, 2, 3))""").collect()
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
index 82b88ec9f35d6..4b85b37b6c2c6 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
@@ -161,28 +161,6 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
       |  SELECT key FROM gen_tmp ORDER BY key ASC;
     """.stripMargin)
 
-  test("multiple generators in projection") {
-    checkError(
-      exception = intercept[AnalysisException] {
-        sql("SELECT explode(array(key, key)), explode(array(key, key)) FROM src").collect()
-      },
-      errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
-      parameters = Map(
-        "clause" -> "SELECT",
-        "num" -> "2",
-        "generators" -> "\"explode(array(key, key))\", \"explode(array(key, key))\""))
-
-    checkError(
-      exception = intercept[AnalysisException] {
-        sql("SELECT explode(array(key, key)) as k1, explode(array(key, key)) FROM src").collect()
-      },
-      errorClass = "UNSUPPORTED_GENERATOR.MULTI_GENERATOR",
-      parameters = Map(
-        "clause" -> "SELECT",
-        "num" -> "2",
-        "generators" -> "\"explode(array(key, key))\", \"explode(array(key, key))\""))
-  }
-
   createQueryTest("! operator",
     """
       |SELECT a FROM (

From d7ce89ab959a0122fa915832901b2383f1b335ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Kimborowicz?= <michal.kimbor@gmail.com>
Date: Thu, 7 Mar 2024 19:34:22 +0800
Subject: [PATCH 609/986] [MINOR][DOCS][PYTHON] Fix documentation typo in
 takeSample method
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Fixed an error in the docstring documentation for the parameter `withReplacement` of `takeSample` method in `pyspark.RDD`, should be of type `bool`, but is `list` instead.
https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.RDD.takeSample.html

### Why are the changes needed?
They correct a mistake in the documentation.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
\-

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #45419 from kimborowicz/master.

Authored-by: Michał Kimborowicz <michal.kimbor@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 7a429aa84a5ed2c4b6448d43e88c475919ea2210)
Signed-off-by: Kent Yao <yao@apache.org>
---
 python/pyspark/rdd.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index 8ea9a31022298..aa63c6509dce8 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -1120,7 +1120,7 @@ def takeSample(
 
         Parameters
         ----------
-        withReplacement : list
+        withReplacement : bool
             whether sampling is done with replacement
         num : int
             size of the returned sample

From 6629b9a6a5ae35db486dc69ce1ce5a86246daf1d Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Tue, 12 Mar 2024 15:11:34 -0700
Subject: [PATCH 610/986] [SPARK-47370][DOC] Add migration doc: TimestampNTZ
 type inference on Parquet files

### What changes were proposed in this pull request?

Add migration doc: TimestampNTZ type inference on Parquet files

### Why are the changes needed?

Update docs. The behavior change was not mentioned in the SQL migration guide

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

It's just doc change
### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45482 from gengliangwang/ntzMigrationDoc.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 621f2c88f3e56257ee517d65e093d32fb44b783e)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/sql-migration-guide.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 2eba9500e907e..0e54c33c6d125 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -49,6 +49,7 @@ license: |
   - Since Spark 3.4, vectorized readers are enabled by default for the nested data types (array, map and struct). To restore the legacy behavior, set `spark.sql.orc.enableNestedColumnVectorizedReader` and `spark.sql.parquet.enableNestedColumnVectorizedReader` to `false`.
   - Since Spark 3.4, `BinaryType` is not supported in CSV datasource. In Spark 3.3 or earlier, users can write binary columns in CSV datasource, but the output content in CSV files is `Object.toString()` which is meaningless; meanwhile, if users read CSV tables with binary columns, Spark will throw an `Unsupported type: binary` exception.
   - Since Spark 3.4, bloom filter joins are enabled by default. To restore the legacy behavior, set `spark.sql.optimizer.runtime.bloomFilter.enabled` to `false`.
+  - Since Spark 3.4, when schema inference on external Parquet files, INT64 timestamps with annotation `isAdjustedToUTC=false` will be inferred as TimestampNTZ type instead of Timestamp type. To restore the legacy behavior, set `spark.sql.parquet.inferTimestampNTZ.enabled` to `false`.
 
 ## Upgrading from Spark SQL 3.2 to 3.3
 

From 3018a5d8cd96a569b3bfe7e11b4b26fb4fb54f32 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Tue, 12 Mar 2024 22:42:45 -0700
Subject: [PATCH 611/986] =?UTF-8?q?[SPARK-47368][SQL]][3.5]=20Remove=20inf?=
 =?UTF-8?q?erTimestampNTZ=20config=20check=20in=20ParquetRo=E2=80=A6?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

The configuration `spark.sql.parquet.inferTimestampNTZ.enabled` is not related the parquet row converter.  This PR is the remove the config check `spark.sql.parquet.inferTimestampNTZ.enabled` in the ParquetRowConverter

### Why are the changes needed?

Bug fix.  Otherwise reading TimestampNTZ columns may fail when `spark.sql.parquet.inferTimestampNTZ.enabled` is disabled.
### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

New UT

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45492 from gengliangwang/PR_TOOL_PICK_PR_45480_BRANCH-3.5.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../parquet/ParquetRowConverter.scala         |  9 +++--
 .../parquet/ParquetSchemaConverter.scala      |  7 ----
 .../parquet/ParquetQuerySuite.scala           | 36 +++++++++++--------
 3 files changed, 25 insertions(+), 27 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
index e257be3d189aa..f534669d58c81 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
@@ -509,11 +509,10 @@ private[parquet] class ParquetRowConverter(
   // can be read as Spark's TimestampNTZ type. This is to avoid mistakes in reading the timestamp
   // values.
   private def canReadAsTimestampNTZ(parquetType: Type): Boolean =
-    schemaConverter.isTimestampNTZEnabled() &&
-      parquetType.asPrimitiveType().getPrimitiveTypeName == INT64 &&
-      parquetType.getLogicalTypeAnnotation.isInstanceOf[TimestampLogicalTypeAnnotation] &&
-      !parquetType.getLogicalTypeAnnotation
-        .asInstanceOf[TimestampLogicalTypeAnnotation].isAdjustedToUTC
+    parquetType.asPrimitiveType().getPrimitiveTypeName == INT64 &&
+    parquetType.getLogicalTypeAnnotation.isInstanceOf[TimestampLogicalTypeAnnotation] &&
+    !parquetType.getLogicalTypeAnnotation
+      .asInstanceOf[TimestampLogicalTypeAnnotation].isAdjustedToUTC
 
   /**
    * Parquet converter for strings. A dictionary is used to minimize string decoding cost.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala
index 9c9e7ce729c1b..a78b96ae6fcc5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala
@@ -72,13 +72,6 @@ class ParquetToSparkSchemaConverter(
     inferTimestampNTZ = conf.get(SQLConf.PARQUET_INFER_TIMESTAMP_NTZ_ENABLED.key).toBoolean,
     nanosAsLong = conf.get(SQLConf.LEGACY_PARQUET_NANOS_AS_LONG.key).toBoolean)
 
-  /**
-   * Returns true if TIMESTAMP_NTZ type is enabled in this ParquetToSparkSchemaConverter.
-   */
-  def isTimestampNTZEnabled(): Boolean = {
-    inferTimestampNTZ
-  }
-
   /**
    * Converts Parquet [[MessageType]] `parquetSchema` to a Spark SQL [[StructType]].
    */
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index 828ec39c7d727..29cb224c8787c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -160,21 +160,27 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
     }
   }
 
-  test("SPARK-36182: writing and reading TimestampNTZType column") {
-    withTable("ts") {
-      sql("create table ts (c1 timestamp_ntz) using parquet")
-      sql("insert into ts values (timestamp_ntz'2016-01-01 10:11:12.123456')")
-      sql("insert into ts values (null)")
-      sql("insert into ts values (timestamp_ntz'1965-01-01 10:11:12.123456')")
-      val expectedSchema = new StructType().add(StructField("c1", TimestampNTZType))
-      assert(spark.table("ts").schema == expectedSchema)
-      val expected = Seq(
-        ("2016-01-01 10:11:12.123456"),
-        (null),
-        ("1965-01-01 10:11:12.123456"))
-        .toDS().select($"value".cast("timestamp_ntz"))
-      withAllParquetReaders {
-        checkAnswer(sql("select * from ts"), expected)
+  test("SPARK-36182, SPARK-47368: writing and reading TimestampNTZType column") {
+    Seq("true", "false").foreach { inferNTZ =>
+      // The SQL Conf PARQUET_INFER_TIMESTAMP_NTZ_ENABLED should not affect the file written
+      // by Spark.
+      withSQLConf(SQLConf.PARQUET_INFER_TIMESTAMP_NTZ_ENABLED.key -> inferNTZ) {
+        withTable("ts") {
+          sql("create table ts (c1 timestamp_ntz) using parquet")
+          sql("insert into ts values (timestamp_ntz'2016-01-01 10:11:12.123456')")
+          sql("insert into ts values (null)")
+          sql("insert into ts values (timestamp_ntz'1965-01-01 10:11:12.123456')")
+          val expectedSchema = new StructType().add(StructField("c1", TimestampNTZType))
+          assert(spark.table("ts").schema == expectedSchema)
+          val expected = Seq(
+            ("2016-01-01 10:11:12.123456"),
+            (null),
+            ("1965-01-01 10:11:12.123456"))
+            .toDS().select($"value".cast("timestamp_ntz"))
+          withAllParquetReaders {
+            checkAnswer(sql("select * from ts"), expected)
+          }
+        }
       }
     }
   }

From 706f54f69fe797027b5fcf1cfb4867811fb41c3d Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Wed, 13 Mar 2024 21:00:35 -0700
Subject: [PATCH 612/986] [SPARK-47375][DOC][FOLLOWUP] Correct the
 preferTimestampNTZ option description in JDBC doc

### What changes were proposed in this pull request?

Correct the preferTimestampNTZ option description in JDBC doc as per https://github.com/apache/spark/pull/45496

### Why are the changes needed?

The current doc is wrong about the jdbc option preferTimestampNTZ

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Just doc change
### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45502 from gengliangwang/ntzJdbc.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit abfbd2718159d62e3322cca8c2d4ef1c29781b21)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/sql-data-sources-jdbc.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/sql-data-sources-jdbc.md b/docs/sql-data-sources-jdbc.md
index edcdef4bf0084..d794116091fe0 100644
--- a/docs/sql-data-sources-jdbc.md
+++ b/docs/sql-data-sources-jdbc.md
@@ -368,8 +368,9 @@ logging into the data sources.
     <td><code>preferTimestampNTZ</code></td>
     <td>false</td>
     <td>
-      When the option is set to <code>true</code>, all timestamps are inferred as TIMESTAMP WITHOUT TIME ZONE.
-      Otherwise, timestamps are read as TIMESTAMP with local time zone.
+      When the option is set to <code>true</code>, TIMESTAMP WITHOUT TIME ZONE type are inferred as Spark's TimestampNTZ type.
+      Otherwise, it is interpreted as Spark's Timestamp type(equivalent to TIMESTAMP WITHOUT LOCAL TIME ZONE).
+      This setting specifically affects only the inference of TIMESTAMP WITHOUT TIME ZONE data type. Both TIMESTAMP WITHOUT LOCAL TIME ZONE and TIMESTAMP WITH TIME ZONE data types are consistently interpreted as Spark's Timestamp type regardless of this setting.
     </td>
     <td>read</td>
   </tr>

From e3317a7cc66cc9ce893f54ebf19a038d32026c4a Mon Sep 17 00:00:00 2001
From: Chenhao Li <chenhao.li@databricks.com>
Date: Thu, 14 Mar 2024 14:27:36 +0800
Subject: [PATCH 613/986] [SPARK-47385] Fix tuple encoders with Option inputs

## What changes were proposed in this pull request?

https://github.com/apache/spark/pull/40755  adds a null check on the input of the child deserializer in the tuple encoder. It breaks the deserializer for the `Option` type, because null should be deserialized into `None` rather than null. This PR adds a boolean parameter to `ExpressionEncoder.tuple` so that only the user that https://github.com/apache/spark/pull/40755 intended to fix has this null check.

## How was this patch tested?

Unit test.

Closes #45508 from chenhao-db/SPARK-47385.

Authored-by: Chenhao Li <chenhao.li@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9986462811f160eacd766da8a4e14a9cbb4b8710)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/encoders/ExpressionEncoder.scala    | 10 ++++++++--
 .../main/scala/org/apache/spark/sql/Dataset.scala    |  4 +++-
 .../scala/org/apache/spark/sql/DatasetSuite.scala    | 12 ++++++++++++
 3 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
index ff72b5a0d9653..6dc89bb4d4b1f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
@@ -73,8 +73,14 @@ object ExpressionEncoder {
    * Given a set of N encoders, constructs a new encoder that produce objects as items in an
    * N-tuple.  Note that these encoders should be unresolved so that information about
    * name/positional binding is preserved.
+   * When `useNullSafeDeserializer` is true, the deserialization result for a child will be null if
+   * the input is null. It is false by default as most deserializers handle null input properly and
+   * don't require an extra null check. Some of them are null-tolerant, such as the deserializer for
+   * `Option[T]`, and we must not set it to true in this case.
    */
-  def tuple(encoders: Seq[ExpressionEncoder[_]]): ExpressionEncoder[_] = {
+  def tuple(
+      encoders: Seq[ExpressionEncoder[_]],
+      useNullSafeDeserializer: Boolean = false): ExpressionEncoder[_] = {
     if (encoders.length > 22) {
       throw QueryExecutionErrors.elementsOfTupleExceedLimitError()
     }
@@ -119,7 +125,7 @@ object ExpressionEncoder {
         case GetColumnByOrdinal(0, _) => input
       }
 
-      if (enc.objSerializer.nullable) {
+      if (useNullSafeDeserializer && enc.objSerializer.nullable) {
         nullSafe(input, childDeserializer)
       } else {
         childDeserializer
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index c063af9381ff2..9ef48c2ec42ea 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -1229,7 +1229,9 @@ class Dataset[T] private[sql](
         JoinHint.NONE)).analyzed.asInstanceOf[Join]
 
     implicit val tuple2Encoder: Encoder[(T, U)] =
-      ExpressionEncoder.tuple(this.exprEnc, other.exprEnc)
+      ExpressionEncoder
+        .tuple(Seq(this.exprEnc, other.exprEnc), useNullSafeDeserializer = true)
+        .asInstanceOf[Encoder[(T, U)]]
 
     withTypedPlan(JoinWith.typedJoinWith(
       joined,
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
index c2fe31520acf6..f32b32ffc5a5e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
@@ -2504,6 +2504,18 @@ class DatasetSuite extends QueryTest
     assert(result == expected)
   }
 
+  test("SPARK-47385: Tuple encoder with Option inputs") {
+    implicit val enc: Encoder[(SingleData, Option[SingleData])] =
+      Encoders.tuple(Encoders.product[SingleData], Encoders.product[Option[SingleData]])
+
+    val input = Seq(
+      (SingleData(1), Some(SingleData(1))),
+      (SingleData(2), None)
+    )
+    val ds = spark.createDataFrame(input).as[(SingleData, Option[SingleData])]
+    checkDataset(ds, input: _*)
+  }
+
   test("SPARK-43124: Show does not trigger job execution on CommandResults") {
     withSQLConf(SQLConf.OPTIMIZER_EXCLUDED_RULES.key -> "") {
       withTable("t1") {

From ef7e7dbb81c745eb9a2141960c29c2ec785e0e82 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 14 Mar 2024 20:58:45 +0800
Subject: [PATCH 614/986] [SPARK-47375][DOC][FOLLOWUP] Fix a mistake in JDBC's
 preferTimestampNTZ option doc

### What changes were proposed in this pull request?

Fix a mistake in JDBC's preferTimestampNTZ option doc

### Why are the changes needed?

Fix a mistake in doc

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

Just doc change
### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45510 from gengliangwang/reviseJdbcDoc.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 63b79c1eac01fe7ec88e608008916258b088aeff)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/sql-data-sources-jdbc.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/sql-data-sources-jdbc.md b/docs/sql-data-sources-jdbc.md
index d794116091fe0..bc0573a372198 100644
--- a/docs/sql-data-sources-jdbc.md
+++ b/docs/sql-data-sources-jdbc.md
@@ -368,9 +368,9 @@ logging into the data sources.
     <td><code>preferTimestampNTZ</code></td>
     <td>false</td>
     <td>
-      When the option is set to <code>true</code>, TIMESTAMP WITHOUT TIME ZONE type are inferred as Spark's TimestampNTZ type.
-      Otherwise, it is interpreted as Spark's Timestamp type(equivalent to TIMESTAMP WITHOUT LOCAL TIME ZONE).
-      This setting specifically affects only the inference of TIMESTAMP WITHOUT TIME ZONE data type. Both TIMESTAMP WITHOUT LOCAL TIME ZONE and TIMESTAMP WITH TIME ZONE data types are consistently interpreted as Spark's Timestamp type regardless of this setting.
+      When the option is set to <code>true</code>, TIMESTAMP WITHOUT TIME ZONE type is inferred as Spark's TimestampNTZ type.
+      Otherwise, it is interpreted as Spark's Timestamp type(equivalent to TIMESTAMP WITH LOCAL TIME ZONE).
+      This setting specifically affects only the inference of TIMESTAMP WITHOUT TIME ZONE data type. Both TIMESTAMP WITH LOCAL TIME ZONE and TIMESTAMP WITH TIME ZONE data types are consistently interpreted as Spark's Timestamp type regardless of this setting.
     </td>
     <td>read</td>
   </tr>

From d59425275cdd0ff678a5bcccef4c7b74fe8170cb Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 15 Mar 2024 22:28:45 -0700
Subject: [PATCH 615/986] [SPARK-47428][BUILD][3.5] Upgrade Jetty to
 9.4.54.v20240208

### What changes were proposed in this pull request?

This PR aims to upgrade Jetty to 9.4.54.v20240208

### Why are the changes needed?

To bring the latest bug fixes.
- https://github.com/jetty/jetty.project/releases/tag/jetty-9.4.54.v20240208
- https://github.com/jetty/jetty.project/releases/tag/jetty-9.4.53.v20231009

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45543 from dongjoon-hyun/SPARK-47428.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 4 ++--
 pom.xml                               | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index c76702cd0af01..8ecf931bf513a 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -130,8 +130,8 @@ jersey-container-servlet/2.40//jersey-container-servlet-2.40.jar
 jersey-hk2/2.40//jersey-hk2-2.40.jar
 jersey-server/2.40//jersey-server-2.40.jar
 jettison/1.1//jettison-1.1.jar
-jetty-util-ajax/9.4.52.v20230823//jetty-util-ajax-9.4.52.v20230823.jar
-jetty-util/9.4.52.v20230823//jetty-util-9.4.52.v20230823.jar
+jetty-util-ajax/9.4.54.v20240208//jetty-util-ajax-9.4.54.v20240208.jar
+jetty-util/9.4.54.v20240208//jetty-util-9.4.54.v20240208.jar
 jline/2.14.6//jline-2.14.6.jar
 joda-time/2.12.5//joda-time-2.12.5.jar
 jodd-core/3.5.2//jodd-core-3.5.2.jar
diff --git a/pom.xml b/pom.xml
index 5db3c78e00eb8..fb6208777d3ff 100644
--- a/pom.xml
+++ b/pom.xml
@@ -143,7 +143,7 @@
     <parquet.version>1.13.1</parquet.version>
     <orc.version>1.9.2</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
-    <jetty.version>9.4.52.v20230823</jetty.version>
+    <jetty.version>9.4.54.v20240208</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>
     <chill.version>0.10.0</chill.version>
     <!--

From 8c6eeb8ab0180368cc60de8b2dbae7457bee5794 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 17 Oct 2023 23:38:56 -0700
Subject: [PATCH 616/986] [SPARK-45587][INFRA] Skip UNIDOC and MIMA in `build`
 GitHub Action job

### What changes were proposed in this pull request?

This PR aims to skip `Unidoc` and `MIMA` phases in many general test pipelines. `mima` test is moved to `lint` job.

### Why are the changes needed?

By having an independent document generation and mima checking GitHub Action job, we can skip them in the following many jobs.

https://github.com/apache/spark/blob/73f9f5296e36541db78ab10c4c01a56fbc17cca8/.github/workflows/build_and_test.yml#L142-L190

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manually check the GitHub action logs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43422 from dongjoon-hyun/SPARK-45587.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index ad8685754b316..b0760a955342f 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -204,6 +204,8 @@ jobs:
       HIVE_PROFILE: ${{ matrix.hive }}
       GITHUB_PREV_SHA: ${{ github.event.before }}
       SPARK_LOCAL_IP: localhost
+      SKIP_UNIDOC: true
+      SKIP_MIMA: true
       SKIP_PACKAGING: true
     steps:
     - name: Checkout Spark repository
@@ -627,6 +629,8 @@ jobs:
       run: ./dev/check-license
     - name: Dependencies test
       run: ./dev/test-dependencies.sh
+    - name: MIMA test
+      run: ./dev/mima
     - name: Scala linter
       run: ./dev/lint-scala
     - name: Java linter

From 8049a203b8c5f2f8045701916e66cfc786e16b57 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 13 Sep 2023 15:51:27 +0800
Subject: [PATCH 617/986] [SPARK-45141][PYTHON][INFRA][TESTS] Pin
 `pyarrow==12.0.1` in CI

### What changes were proposed in this pull request?
Pin `pyarrow==12.0.1` in CI

### Why are the changes needed?
to fix test failure,  https://github.com/apache/spark/actions/runs/6167186123/job/16738683632

```
======================================================================
FAIL [0.095s]: test_from_to_pandas (pyspark.pandas.tests.data_type_ops.test_datetime_ops.DatetimeOpsTests)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/__w/spark/spark/python/pyspark/testing/pandasutils.py", line 122, in _assert_pandas_equal
    assert_series_equal(
  File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 931, in assert_series_equal
    assert_attr_equal("dtype", left, right, obj=f"Attributes of {obj}")
  File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 415, in assert_attr_equal
    raise_assert_detail(obj, msg, left_attr, right_attr)
  File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 599, in raise_assert_detail
    raise AssertionError(msg)
AssertionError: Attributes of Series are different

Attribute "dtype" are different
[left]:  datetime64[ns]
[right]: datetime64[us]
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI and manually test

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #42897 from zhengruifeng/pin_pyarrow.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
(cherry picked from commit e3d2dfa8b514f9358823c3cb1ad6523da8a6646b)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 4 ++--
 dev/infra/Dockerfile                 | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index b0760a955342f..8488540b415d5 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -258,7 +258,7 @@ jobs:
     - name: Install Python packages (Python 3.8)
       if: (contains(matrix.modules, 'sql') && !contains(matrix.modules, 'sql-'))
       run: |
-        python3.8 -m pip install 'numpy>=1.20.0' pyarrow pandas scipy unittest-xml-reporting 'grpcio==1.56.0' 'protobuf==3.20.3'
+        python3.8 -m pip install 'numpy>=1.20.0' 'pyarrow==12.0.1' pandas scipy unittest-xml-reporting 'grpcio==1.56.0' 'protobuf==3.20.3'
         python3.8 -m pip list
     # Run the tests.
     - name: Run tests
@@ -684,7 +684,7 @@ jobs:
         #   See also https://issues.apache.org/jira/browse/SPARK-38279.
         python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0' 'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' 'nest-asyncio==1.5.8' 'rpds-py==0.16.2' 'alabaster==0.7.13'
         python3.9 -m pip install ipython_genutils # See SPARK-38517
-        python3.9 -m pip install sphinx_plotly_directive 'numpy>=1.20.0' pyarrow pandas 'plotly>=4.8'
+        python3.9 -m pip install sphinx_plotly_directive 'numpy>=1.20.0' 'pyarrow==12.0.1' pandas 'plotly>=4.8'
         python3.9 -m pip install 'docutils<0.18.0' # See SPARK-39421
         apt-get update -y
         apt-get install -y ruby ruby-dev
diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index d3bae836cc631..d3fcd7ab36228 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -65,7 +65,7 @@ RUN Rscript -e "devtools::install_version('roxygen2', version='7.2.0', repos='ht
 ENV R_LIBS_SITE "/usr/local/lib/R/site-library:${R_LIBS_SITE}:/usr/lib/R/library"
 
 RUN pypy3 -m pip install numpy 'pandas<=2.0.3' scipy coverage matplotlib
-RUN python3.9 -m pip install numpy pyarrow 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
+RUN python3.9 -m pip install numpy 'pyarrow==12.0.1' 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
 
 # Add Python deps for Spark Connect.
 RUN python3.9 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 'protobuf==3.20.3' 'googleapis-common-protos==1.56.4'

From cc6912ec612c30e46e1595860a5519bb1caa221b Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 17 Mar 2024 15:15:50 -0700
Subject: [PATCH 618/986] [SPARK-47432][PYTHON][CONNECT][DOCS][3.5] Add
 `pyarrow` upper bound requirement, `<13.0.0`

### What changes were proposed in this pull request?

This PR aims to add `pyarrow` upper bound requirement, `<13.0.0`, to Apache Spark 3.5.x.

### Why are the changes needed?

PyArrow 13.0.0 has breaking changes mentioned by #42920 which is a part of Apache Spark 4.0.0.

### Does this PR introduce _any_ user-facing change?

No, this only clarifies the upper bound.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45553 from dongjoon-hyun/SPARK-47432.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/requirements.txt                           | 2 +-
 python/docs/source/getting_started/install.rst | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/requirements.txt b/dev/requirements.txt
index 597417aba1f3d..0749af75aa4be 100644
--- a/dev/requirements.txt
+++ b/dev/requirements.txt
@@ -3,7 +3,7 @@ py4j
 
 # PySpark dependencies (optional)
 numpy
-pyarrow
+pyarrow<13.0.0
 pandas
 scipy
 plotly
diff --git a/python/docs/source/getting_started/install.rst b/python/docs/source/getting_started/install.rst
index 6822285e96172..e97632a8b384b 100644
--- a/python/docs/source/getting_started/install.rst
+++ b/python/docs/source/getting_started/install.rst
@@ -157,7 +157,7 @@ Package                    Supported version Note
 ========================== ========================= ======================================================================================
 `py4j`                     >=0.10.9.7                Required
 `pandas`                   >=1.0.5                   Required for pandas API on Spark and Spark Connect; Optional for Spark SQL
-`pyarrow`                  >=4.0.0                   Required for pandas API on Spark and Spark Connect; Optional for Spark SQL
+`pyarrow`                  >=4.0.0,<13.0.0           Required for pandas API on Spark and Spark Connect; Optional for Spark SQL
 `numpy`                    >=1.15                    Required for pandas API on Spark and MLLib DataFrame-based API; Optional for Spark SQL
 `grpcio`                   >=1.48,<1.57              Required for Spark Connect
 `grpcio-status`            >=1.48,<1.57              Required for Spark Connect

From bb7a6138b827975fc827813ab42a2b9074bf8d5e Mon Sep 17 00:00:00 2001
From: Huw Campbell <huw.campbell@gmail.com>
Date: Mon, 18 Mar 2024 07:38:10 -0700
Subject: [PATCH 619/986] [SPARK-47434][WEBUI] Fix `statistics` link in
 `StreamingQueryPage`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Like SPARK-24553, this PR aims to fix redirect issues (incorrect 302) when one is using proxy settings. Change the generated link to be consistent with other links and include a trailing slash

### Why are the changes needed?

When using a proxy, an invalid redirect is issued if this is not included

### Does this PR introduce _any_ user-facing change?

Only that people will be able to use these links if they are using a proxy

### How was this patch tested?

With a proxy installed I went to the location this link would generate and could go to the page, when it redirects with the link as it exists.

Edit: Further tested by building a version of our application with this patch applied, the links work now.

### Was this patch authored or co-authored using generative AI tooling?

No.

Page with working link
<img width="913" alt="Screenshot 2024-03-18 at 4 45 27 PM" src="https://github.com/apache/spark/assets/5205457/dbcd1ffc-b7e6-4f84-8ca7-602c41202bf3">

Goes correctly to
<img width="539" alt="Screenshot 2024-03-18 at 4 45 36 PM" src="https://github.com/apache/spark/assets/5205457/89111c82-b24a-4b33-895f-9c0131e8acb5">

Before it would redirect and we'd get a 404.

<img width="639" alt="image" src="https://github.com/apache/spark/assets/5205457/1adfeba1-a1f6-4c35-9c39-e077c680baef">

Closes #45527 from HuwCampbell/patch-1.

Authored-by: Huw Campbell <huw.campbell@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 9b466d329c3c75e89b80109755a41c2d271b8acc)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../org/apache/spark/sql/streaming/ui/StreamingQueryPage.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryPage.scala b/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryPage.scala
index 7cd7db4088ac9..ce3e7cde01b7a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryPage.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryPage.scala
@@ -174,7 +174,7 @@ private[ui] class StreamingQueryPagedTable(
 
   override def row(query: StructuredStreamingRow): Seq[Node] = {
     val streamingQuery = query.streamingUIData
-    val statisticsLink = "%s/%s/statistics?id=%s"
+    val statisticsLink = "%s/%s/statistics/?id=%s"
       .format(SparkUIUtils.prependBaseUri(request, parent.basePath), parent.prefix,
         streamingQuery.summary.runId)
 

From 3857c16be81f568cc5caf81f65941109bf5f2939 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 19 Mar 2024 13:37:28 +0800
Subject: [PATCH 620/986] [SPARK-47435][SPARK-45561][SQL][3.5] Fix overflow
 issue of MySQL UNSIGNED TINYINT caused by

### What changes were proposed in this pull request?

SPARK-45561 mapped java.sql.Types.TINYINT to ByteType in MySQL Dialect, which caused unsigned TINYINT overflow. As regardless of signed or unsigned types, the TINYINT is used for java.sql.Types.
In this PR, we put the signed info into the metadata for mapping TINYINT to short or byte.

### Why are the changes needed?

bugfix

### Does this PR introduce _any_ user-facing change?

Uses can read MySQL UNSIGNED TINYINT values after this PR like versions before 3.5.0 which has breaked since 3.5.1

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #45579 from yaooqinn/SPARK-47435-B.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/jdbc/MySQLIntegrationSuite.scala      |  9 ++--
 .../sql/jdbc/v2/DB2IntegrationSuite.scala     |  9 ++--
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala |  6 ++-
 .../sql/jdbc/v2/MySQLIntegrationSuite.scala   | 14 +++--
 .../sql/jdbc/v2/OracleIntegrationSuite.scala  |  9 ++--
 .../jdbc/v2/PostgresIntegrationSuite.scala    |  9 ++--
 .../apache/spark/sql/jdbc/v2/V2JDBCTest.scala | 28 ++++++----
 .../datasources/jdbc/JdbcUtils.scala          |  6 +--
 .../apache/spark/sql/jdbc/MySQLDialect.scala  | 10 ++--
 .../v2/jdbc/JDBCTableCatalogSuite.scala       | 54 +++++++++++--------
 .../org/apache/spark/sql/jdbc/JDBCSuite.scala | 26 +++++----
 11 files changed, 115 insertions(+), 65 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
index 20fdc965874ff..dcf4225d522d1 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
@@ -56,10 +56,11 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
 
     conn.prepareStatement("CREATE TABLE numbers (onebit BIT(1), tenbits BIT(10), "
       + "small SMALLINT, med MEDIUMINT, nor INT, big BIGINT, deci DECIMAL(40,20), flt FLOAT, "
-      + "dbl DOUBLE, tiny TINYINT)").executeUpdate()
+      + "dbl DOUBLE, tiny TINYINT, u_tiny TINYINT UNSIGNED)").executeUpdate()
+
     conn.prepareStatement("INSERT INTO numbers VALUES (b'0', b'1000100101', "
       + "17, 77777, 123456789, 123456789012345, 123456789012345.123456789012345, "
-      + "42.75, 1.0000000000000002, -128)").executeUpdate()
+      + "42.75, 1.0000000000000002, -128, 255)").executeUpdate()
 
     conn.prepareStatement("CREATE TABLE dates (d DATE, t TIME, dt DATETIME, ts TIMESTAMP, "
       + "yr YEAR)").executeUpdate()
@@ -89,7 +90,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     val rows = df.collect()
     assert(rows.length == 1)
     val types = rows(0).toSeq.map(x => x.getClass.toString)
-    assert(types.length == 10)
+    assert(types.length == 11)
     assert(types(0).equals("class java.lang.Boolean"))
     assert(types(1).equals("class java.lang.Long"))
     assert(types(2).equals("class java.lang.Integer"))
@@ -100,6 +101,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(types(7).equals("class java.lang.Double"))
     assert(types(8).equals("class java.lang.Double"))
     assert(types(9).equals("class java.lang.Byte"))
+    assert(types(10).equals("class java.lang.Short"))
     assert(rows(0).getBoolean(0) == false)
     assert(rows(0).getLong(1) == 0x225)
     assert(rows(0).getInt(2) == 17)
@@ -111,6 +113,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(rows(0).getDouble(7) == 42.75)
     assert(rows(0).getDouble(8) == 1.0000000000000002)
     assert(rows(0).getByte(9) == 0x80.toByte)
+    assert(rows(0).getShort(10) == 0xff.toShort)
   }
 
   test("Date types") {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
index 661b1277e9f03..9a78244f53266 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
@@ -85,11 +85,13 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    var expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE DOUBLE")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", DoubleType, true, defaultMetadata)
+    expectedSchema = new StructType()
+      .add("ID", DoubleType, true, defaultMetadata(DoubleType))
     assert(t.schema === expectedSchema)
     // Update column type from DOUBLE to STRING
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE VARCHAR(10)"
@@ -112,7 +114,8 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
     sql(s"CREATE TABLE $tbl (ID INT)" +
       s" TBLPROPERTIES('CCSID'='UNICODE')")
     val t = spark.table(tbl)
-    val expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    val expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
   }
 
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index fc93f5cba4c03..e451cc2b8c52a 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -93,11 +93,13 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    var expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE STRING")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+    expectedSchema = new StructType()
+      .add("ID", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
     // Update column type from STRING to INTEGER
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE INTEGER"
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
index 5e340f135c85d..719b858b87b63 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
@@ -83,6 +83,11 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
 
   private var mySQLVersion = -1
 
+  override def defaultMetadata(dataType: DataType = StringType): Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putBoolean("isSigned", true)
+    .build()
+
   override def tablePreparation(connection: Connection): Unit = {
     mySQLVersion = connection.getMetaData.getDatabaseMajorVersion
     connection.prepareStatement(
@@ -93,11 +98,13 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    var expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE STRING")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+    expectedSchema = new StructType()
+      .add("ID", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
     // Update column type from STRING to INTEGER
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE INTEGER"
@@ -145,7 +152,8 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     sql(s"CREATE TABLE $tbl (ID INT)" +
       s" TBLPROPERTIES('ENGINE'='InnoDB', 'DEFAULT CHARACTER SET'='utf8')")
     val t = spark.table(tbl)
-    val expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    val expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
   }
 
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
index 6b5dd043a617f..33ce55b1c6c9f 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
@@ -87,8 +87,9 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
       s"jdbc:oracle:thin:system/$oracle_password@//$ip:$port/xe"
   }
 
-  override val defaultMetadata: Metadata = new MetadataBuilder()
+  override def defaultMetadata(dataType: DataType): Metadata = new MetadataBuilder()
     .putLong("scale", 0)
+    .putBoolean("isSigned", dataType.isInstanceOf[NumericType] || dataType.isInstanceOf[StringType])
     .putString(CHAR_VARCHAR_TYPE_STRING_METADATA_KEY, "varchar(255)")
     .build()
 
@@ -110,11 +111,13 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", DecimalType(10, 0), true, super.defaultMetadata)
+    var expectedSchema = new StructType()
+      .add("ID", DecimalType(10, 0), true, super.defaultMetadata(DecimalType(10, 0)))
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE LONG")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", DecimalType(19, 0), true, super.defaultMetadata)
+    expectedSchema = new StructType()
+      .add("ID", DecimalType(19, 0), true, super.defaultMetadata(DecimalType(19, 0)))
     assert(t.schema === expectedSchema)
     // Update column type from LONG to INTEGER
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE INTEGER"
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index 85e85f8bf3803..d2a18ff96b44b 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -64,11 +64,13 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
   override def testUpdateColumnType(tbl: String): Unit = {
     sql(s"CREATE TABLE $tbl (ID INTEGER)")
     var t = spark.table(tbl)
-    var expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    var expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $tbl ALTER COLUMN id TYPE STRING")
     t = spark.table(tbl)
-    expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+    expectedSchema = new StructType()
+      .add("ID", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
     // Update column type from STRING to INTEGER
     val sql1 = s"ALTER TABLE $tbl ALTER COLUMN id TYPE INTEGER"
@@ -91,7 +93,8 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     sql(s"CREATE TABLE $tbl (ID INT)" +
       s" TBLPROPERTIES('TABLESPACE'='pg_default')")
     val t = spark.table(tbl)
-    val expectedSchema = new StructType().add("ID", IntegerType, true, defaultMetadata)
+    val expectedSchema = new StructType()
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === expectedSchema)
   }
 
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
index 99f435611f2c4..b8671455ac6f8 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
@@ -49,18 +49,21 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
 
   def notSupportsTableComment: Boolean = false
 
-  def defaultMetadata: Metadata = new MetadataBuilder().putLong("scale", 0).build()
+  def defaultMetadata(dataType: DataType = StringType): Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putBoolean("isSigned", dataType.isInstanceOf[NumericType])
+    .build()
 
   def testUpdateColumnNullability(tbl: String): Unit = {
     sql(s"CREATE TABLE $catalogName.alt_table (ID STRING NOT NULL)")
     var t = spark.table(s"$catalogName.alt_table")
     // nullable is true in the expectedSchema because Spark always sets nullable to true
     // regardless of the JDBC metadata https://github.com/apache/spark/pull/18445
-    var expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+    var expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
     sql(s"ALTER TABLE $catalogName.alt_table ALTER COLUMN ID DROP NOT NULL")
     t = spark.table(s"$catalogName.alt_table")
-    expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+    expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
     // Update nullability of not existing column
     val msg = intercept[AnalysisException] {
@@ -72,8 +75,9 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
   def testRenameColumn(tbl: String): Unit = {
     sql(s"ALTER TABLE $tbl RENAME COLUMN ID TO RENAMED")
     val t = spark.table(s"$tbl")
-    val expectedSchema = new StructType().add("RENAMED", StringType, true, defaultMetadata)
-      .add("ID1", StringType, true, defaultMetadata).add("ID2", StringType, true, defaultMetadata)
+    val expectedSchema = new StructType().add("RENAMED", StringType, true, defaultMetadata())
+      .add("ID1", StringType, true, defaultMetadata())
+      .add("ID2", StringType, true, defaultMetadata())
     assert(t.schema === expectedSchema)
   }
 
@@ -83,16 +87,19 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
     withTable(s"$catalogName.alt_table") {
       sql(s"CREATE TABLE $catalogName.alt_table (ID STRING)")
       var t = spark.table(s"$catalogName.alt_table")
-      var expectedSchema = new StructType().add("ID", StringType, true, defaultMetadata)
+      var expectedSchema = new StructType()
+        .add("ID", StringType, true, defaultMetadata())
       assert(t.schema === expectedSchema)
       sql(s"ALTER TABLE $catalogName.alt_table ADD COLUMNS (C1 STRING, C2 STRING)")
       t = spark.table(s"$catalogName.alt_table")
-      expectedSchema = expectedSchema.add("C1", StringType, true, defaultMetadata)
-        .add("C2", StringType, true, defaultMetadata)
+      expectedSchema = expectedSchema
+        .add("C1", StringType, true, defaultMetadata())
+        .add("C2", StringType, true, defaultMetadata())
       assert(t.schema === expectedSchema)
       sql(s"ALTER TABLE $catalogName.alt_table ADD COLUMNS (C3 STRING)")
       t = spark.table(s"$catalogName.alt_table")
-      expectedSchema = expectedSchema.add("C3", StringType, true, defaultMetadata)
+      expectedSchema = expectedSchema
+        .add("C3", StringType, true, defaultMetadata())
       assert(t.schema === expectedSchema)
       // Add already existing column
       checkError(
@@ -125,7 +132,8 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
       sql(s"ALTER TABLE $catalogName.alt_table DROP COLUMN C1")
       sql(s"ALTER TABLE $catalogName.alt_table DROP COLUMN c3")
       val t = spark.table(s"$catalogName.alt_table")
-      val expectedSchema = new StructType().add("C2", StringType, true, defaultMetadata)
+      val expectedSchema = new StructType()
+        .add("C2", StringType, true, defaultMetadata())
       assert(t.schema === expectedSchema)
       // Drop not existing column
       val msg = intercept[AnalysisException] {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index 6e7298710a5d8..3521a50cd2dd9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -269,6 +269,7 @@ object JdbcUtils extends Logging with SQLConfHelper {
     val fields = new Array[StructField](ncols)
     var i = 0
     while (i < ncols) {
+      val metadata = new MetadataBuilder()
       val columnName = rsmd.getColumnLabel(i + 1)
       val dataType = rsmd.getColumnType(i + 1)
       val typeName = rsmd.getColumnTypeName(i + 1)
@@ -289,8 +290,6 @@ object JdbcUtils extends Logging with SQLConfHelper {
       } else {
         rsmd.isNullable(i + 1) != ResultSetMetaData.columnNoNulls
       }
-      val metadata = new MetadataBuilder()
-      metadata.putLong("scale", fieldScale)
 
       dataType match {
         case java.sql.Types.TIME =>
@@ -302,7 +301,8 @@ object JdbcUtils extends Logging with SQLConfHelper {
           metadata.putBoolean("rowid", true)
         case _ =>
       }
-
+      metadata.putBoolean("isSigned", isSigned)
+      metadata.putLong("scale", fieldScale)
       val columnType =
         dialect.getCatalystType(dataType, typeName, fieldSize, metadata).getOrElse(
           getCatalystType(dataType, typeName, fieldSize, fieldScale, isSigned, isTimestampNTZ))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index c96da2d42a2af..bf27b748e24e9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.connector.catalog.index.TableIndex
 import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, NamedReference, NullOrdering, SortDirection}
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JdbcUtils}
-import org.apache.spark.sql.types.{BooleanType, ByteType, DataType, FloatType, LongType, MetadataBuilder, StringType}
+import org.apache.spark.sql.types._
 
 private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
 
@@ -102,8 +102,12 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
       // Some MySQL JDBC drivers converts JSON type into Types.VARCHAR with a precision of -1.
       // Explicitly converts it into StringType here.
       Some(StringType)
-    } else if (sqlType == Types.TINYINT && typeName.equals("TINYINT")) {
-      Some(ByteType)
+    } else if (sqlType == Types.TINYINT) {
+      if (md.build().getBoolean("isSigned")) {
+        Some(ByteType)
+      } else {
+        Some(ShortType)
+      }
     } else None
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
index eed64b873c451..078c708cc3fdd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala
@@ -36,7 +36,11 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
 
   val tempDir = Utils.createTempDir()
   val url = s"jdbc:h2:${tempDir.getCanonicalPath};user=testUser;password=testPass"
-  val defaultMetadata = new MetadataBuilder().putLong("scale", 0).build()
+
+  def defaultMetadata(dataType: DataType): Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putBoolean("isSigned", dataType.isInstanceOf[NumericType])
+    .build()
 
   override def sparkConf: SparkConf = super.sparkConf
     .set("spark.sql.catalog.h2", classOf[JDBCTableCatalog].getName)
@@ -138,8 +142,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
   test("load a table") {
     val t = spark.table("h2.test.people")
     val expectedSchema = new StructType()
-      .add("NAME", VarcharType(32), true, defaultMetadata)
-      .add("ID", IntegerType, true, defaultMetadata)
+      .add("NAME", VarcharType(32), true, defaultMetadata(VarcharType(32)))
+      .add("ID", IntegerType, true, defaultMetadata(IntegerType))
     assert(t.schema === CharVarcharUtils.replaceCharVarcharWithStringInSchema(expectedSchema))
     Seq(
       "h2.test.not_existing_table" -> "`h2`.`test`.`not_existing_table`",
@@ -181,13 +185,13 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName ADD COLUMNS (C1 INTEGER, C2 STRING)")
       var t = spark.table(tableName)
       var expectedSchema = new StructType()
-        .add("ID", IntegerType, true, defaultMetadata)
-        .add("C1", IntegerType, true, defaultMetadata)
-        .add("C2", StringType, true, defaultMetadata)
+        .add("ID", IntegerType, true, defaultMetadata(IntegerType))
+        .add("C1", IntegerType, true, defaultMetadata(IntegerType))
+        .add("C2", StringType, true, defaultMetadata(StringType))
       assert(t.schema === expectedSchema)
       sql(s"ALTER TABLE $tableName ADD COLUMNS (c3 DOUBLE)")
       t = spark.table(tableName)
-      expectedSchema = expectedSchema.add("c3", DoubleType, true, defaultMetadata)
+      expectedSchema = expectedSchema.add("c3", DoubleType, true, defaultMetadata(DoubleType))
       assert(t.schema === expectedSchema)
       // Add already existing column
       checkError(
@@ -225,8 +229,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName RENAME COLUMN id TO C")
       val t = spark.table(tableName)
       val expectedSchema = new StructType()
-        .add("C", IntegerType, true, defaultMetadata)
-        .add("C0", IntegerType, true, defaultMetadata)
+        .add("C", IntegerType, true, defaultMetadata(IntegerType))
+        .add("C0", IntegerType, true, defaultMetadata(IntegerType))
       assert(t.schema === expectedSchema)
       // Rename to already existing column
       checkError(
@@ -264,7 +268,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName DROP COLUMN C1")
       sql(s"ALTER TABLE $tableName DROP COLUMN c3")
       val t = spark.table(tableName)
-      val expectedSchema = new StructType().add("C2", IntegerType, true, defaultMetadata)
+      val expectedSchema = new StructType()
+        .add("C2", IntegerType, true, defaultMetadata(IntegerType))
       assert(t.schema === expectedSchema)
       // Drop not existing column
       val msg = intercept[AnalysisException] {
@@ -293,8 +298,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName ALTER COLUMN deptno TYPE DOUBLE")
       val t = spark.table(tableName)
       val expectedSchema = new StructType()
-        .add("ID", DoubleType, true, defaultMetadata)
-        .add("deptno", DoubleType, true, defaultMetadata)
+        .add("ID", DoubleType, true, defaultMetadata(DoubleType))
+        .add("deptno", DoubleType, true, defaultMetadata(DoubleType))
       assert(t.schema === expectedSchema)
       // Update not existing column
       val msg1 = intercept[AnalysisException] {
@@ -331,8 +336,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName ALTER COLUMN deptno DROP NOT NULL")
       val t = spark.table(tableName)
       val expectedSchema = new StructType()
-        .add("ID", IntegerType, true, defaultMetadata)
-        .add("deptno", IntegerType, true, defaultMetadata)
+        .add("ID", IntegerType, true, defaultMetadata(IntegerType))
+        .add("deptno", IntegerType, true, defaultMetadata(IntegerType))
       assert(t.schema === expectedSchema)
       // Update nullability of not existing column
       val msg = intercept[AnalysisException] {
@@ -388,8 +393,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"CREATE TABLE $tableName (c1 INTEGER NOT NULL, c2 INTEGER)")
       var t = spark.table(tableName)
       var expectedSchema = new StructType()
-        .add("c1", IntegerType, true, defaultMetadata)
-        .add("c2", IntegerType, true, defaultMetadata)
+        .add("c1", IntegerType, true, defaultMetadata(IntegerType))
+        .add("c2", IntegerType, true, defaultMetadata(IntegerType))
       assert(t.schema === expectedSchema)
 
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") {
@@ -402,8 +407,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
         sql(s"ALTER TABLE $tableName RENAME COLUMN C2 TO c3")
         expectedSchema = new StructType()
-          .add("c1", IntegerType, true, defaultMetadata)
-          .add("c3", IntegerType, true, defaultMetadata)
+          .add("c1", IntegerType, true, defaultMetadata(IntegerType))
+          .add("c3", IntegerType, true, defaultMetadata(IntegerType))
         t = spark.table(tableName)
         assert(t.schema === expectedSchema)
       }
@@ -417,7 +422,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
 
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
         sql(s"ALTER TABLE $tableName DROP COLUMN C3")
-        expectedSchema = new StructType().add("c1", IntegerType, true, defaultMetadata)
+        expectedSchema = new StructType()
+          .add("c1", IntegerType, true, defaultMetadata(IntegerType))
         t = spark.table(tableName)
         assert(t.schema === expectedSchema)
       }
@@ -431,7 +437,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
 
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
         sql(s"ALTER TABLE $tableName ALTER COLUMN C1 TYPE DOUBLE")
-        expectedSchema = new StructType().add("c1", DoubleType, true, defaultMetadata)
+        expectedSchema = new StructType()
+          .add("c1", DoubleType, true, defaultMetadata(DoubleType))
         t = spark.table(tableName)
         assert(t.schema === expectedSchema)
       }
@@ -445,7 +452,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
 
       withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
         sql(s"ALTER TABLE $tableName ALTER COLUMN C1 DROP NOT NULL")
-        expectedSchema = new StructType().add("c1", DoubleType, true, defaultMetadata)
+        expectedSchema = new StructType()
+          .add("c1", DoubleType, true, defaultMetadata(IntegerType))
         t = spark.table(tableName)
         assert(t.schema === expectedSchema)
       }
@@ -507,8 +515,8 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       sql(s"ALTER TABLE $tableName ALTER COLUMN deptno TYPE VARCHAR(30)")
       val t = spark.table(tableName)
       val expected = new StructType()
-        .add("ID", CharType(10), true, defaultMetadata)
-        .add("deptno", VarcharType(30), true, defaultMetadata)
+        .add("ID", CharType(10), true, defaultMetadata(CharType(10)))
+        .add("deptno", VarcharType(30), true, defaultMetadata(VarcharType(30)))
       val replaced = CharVarcharUtils.replaceCharVarcharWithStringInSchema(expected)
       assert(t.schema === replaced)
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index e151f2c0225de..f4702ee9edb3c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -77,7 +77,10 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     }
   }
 
-  val defaultMetadata = new MetadataBuilder().putLong("scale", 0).build()
+  def defaultMetadata(dataType: DataType): Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putBoolean("isSigned", dataType.isInstanceOf[NumericType])
+    .build()
 
   override def beforeAll(): Unit = {
     super.beforeAll()
@@ -907,7 +910,7 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
 
   test("MySQLDialect catalyst type mapping") {
     val mySqlDialect = JdbcDialects.get("jdbc:mysql")
-    val metadata = new MetadataBuilder()
+    val metadata = new MetadataBuilder().putBoolean("isSigned", value = true)
     assert(mySqlDialect.getCatalystType(java.sql.Types.VARBINARY, "BIT", 2, metadata) ==
       Some(LongType))
     assert(metadata.build().contains("binarylong"))
@@ -916,6 +919,9 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
       Some(BooleanType))
     assert(mySqlDialect.getCatalystType(java.sql.Types.TINYINT, "TINYINT", 1, metadata) ==
       Some(ByteType))
+    metadata.putBoolean("isSigned", value = false)
+    assert(mySqlDialect.getCatalystType(java.sql.Types.TINYINT, "TINYINT", 1, metadata) ===
+      Some(ShortType))
   }
 
   test("SPARK-35446: MySQLDialect type mapping of float") {
@@ -1363,8 +1369,8 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
   }
 
   test("SPARK-16848: jdbc API throws an exception for user specified schema") {
-    val schema = StructType(Seq(StructField("name", StringType, false, defaultMetadata),
-      StructField("theid", IntegerType, false, defaultMetadata)))
+    val schema = StructType(Seq(StructField("name", StringType, false, defaultMetadata(StringType)),
+      StructField("theid", IntegerType, false, defaultMetadata(IntegerType))))
     val parts = Array[String]("THEID < 2", "THEID >= 2")
     val e1 = intercept[AnalysisException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", parts, new Properties())
@@ -1384,8 +1390,9 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     props.put("customSchema", customSchema)
     val df = spark.read.jdbc(urlWithUserAndPass, "TEST.PEOPLE", parts, props)
     assert(df.schema.size === 2)
-    val expectedSchema = new StructType(CatalystSqlParser.parseTableSchema(customSchema).map(
-      f => StructField(f.name, f.dataType, f.nullable, defaultMetadata)).toArray)
+    val structType = CatalystSqlParser.parseTableSchema(customSchema)
+    val expectedSchema = new StructType(structType.map(
+      f => StructField(f.name, f.dataType, f.nullable, defaultMetadata(f.dataType))).toArray)
     assert(df.schema === CharVarcharUtils.replaceCharVarcharWithStringInSchema(expectedSchema))
     assert(df.count() === 3)
   }
@@ -1403,7 +1410,7 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
       val df = sql("select * from people_view")
       assert(df.schema.length === 2)
       val expectedSchema = new StructType(CatalystSqlParser.parseTableSchema(customSchema)
-        .map(f => StructField(f.name, f.dataType, f.nullable, defaultMetadata)).toArray)
+        .map(f => StructField(f.name, f.dataType, f.nullable, defaultMetadata(f.dataType))).toArray)
 
       assert(df.schema === CharVarcharUtils.replaceCharVarcharWithStringInSchema(expectedSchema))
       assert(df.count() === 3)
@@ -1550,8 +1557,9 @@ class JDBCSuite extends QueryTest with SharedSparkSession {
     }
 
   test("jdbc data source shouldn't have unnecessary metadata in its schema") {
-    var schema = StructType(Seq(StructField("NAME", VarcharType(32), true, defaultMetadata),
-      StructField("THEID", IntegerType, true, defaultMetadata)))
+    var schema = StructType(
+      Seq(StructField("NAME", VarcharType(32), true, defaultMetadata(VarcharType(32))),
+      StructField("THEID", IntegerType, true, defaultMetadata(IntegerType))))
     schema = CharVarcharUtils.replaceCharVarcharWithStringInSchema(schema)
     val df = spark.read.format("jdbc")
       .option("Url", urlWithUserAndPass)

From 8fcd9a1b0024d24e3622b1948123e7f239a734a5 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 20 Mar 2024 15:19:33 +0800
Subject: [PATCH 621/986] [SPARK-47455][BUILD] Fix resource leak during the
 initialization of `scalaStyleOnCompileConfig` in `SparkBuild.scala`

### What changes were proposed in this pull request?
https://github.com/apache/spark/blob/e01ed0da22f24204fe23143032ff39be7f4b56af/project/SparkBuild.scala#L157-L173

`Source.fromFile(in)` opens a `BufferedSource` resource handle, but it does not close it, this pr fix this issue.

### Why are the changes needed?
Close resource after used.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45582 from LuciferYang/SPARK-47455.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 85bf7615f85eea3e9192a7684ef711cf44042e05)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 project/SparkBuild.scala | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 79b58deafde57..dfadfea172d8c 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -160,16 +160,21 @@ object SparkBuild extends PomBuild {
     val replacements = Map(
       """customId="println" level="error"""" -> """customId="println" level="warn""""
     )
-    var contents = Source.fromFile(in).getLines.mkString("\n")
-    for ((k, v) <- replacements) {
-      require(contents.contains(k), s"Could not rewrite '$k' in original scalastyle config.")
-      contents = contents.replace(k, v)
-    }
-    new PrintWriter(out) {
-      write(contents)
-      close()
+    val source = Source.fromFile(in)
+    try {
+      var contents = source.getLines.mkString("\n")
+      for ((k, v) <- replacements) {
+        require(contents.contains(k), s"Could not rewrite '$k' in original scalastyle config.")
+        contents = contents.replace(k, v)
+      }
+      new PrintWriter(out) {
+        write(contents)
+        close()
+      }
+      out
+    } finally {
+      source.close()
     }
-    out
   }
 
   // Return a cached scalastyle task for a given configuration (usually Compile or Test)

From df2fddd5d00860506534d5302f9b3f944d775deb Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 20 Mar 2024 15:56:06 +0800
Subject: [PATCH 622/986] [SPARK-47473][SQL] Fix correctness issue of
 converting postgres INFINITY timestamps

This PR fixes a bug involved with #41843 that Epoch Second is used instead of epoch millis to create a timestamp value

bugfix

no

revised tests

no

Closes #45599 from yaooqinn/SPARK-47473.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit ad8ac17dbdfa763236ab3303eac6a3115ba710cc)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/sql/jdbc/PostgresIntegrationSuite.scala | 9 ++++-----
 .../org/apache/spark/sql/jdbc/PostgresDialect.scala      | 5 +++--
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
index 90d6f6ae2fbfc..e910402e05e77 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
@@ -20,13 +20,13 @@ package org.apache.spark.sql.jdbc
 import java.math.{BigDecimal => JBigDecimal}
 import java.sql.{Connection, Date, Timestamp}
 import java.text.SimpleDateFormat
-import java.time.{LocalDateTime, ZoneOffset}
+import java.time.LocalDateTime
 import java.util.Properties
 
 import org.apache.spark.sql.Column
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.expressions.Literal
-import org.apache.spark.sql.types.{ArrayType, DecimalType, FloatType, ShortType}
+import org.apache.spark.sql.types._
 import org.apache.spark.tags.DockerTest
 
 /**
@@ -445,9 +445,8 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(row.length == 2)
     val infinity = row(0).getAs[Timestamp]("timestamp_column")
     val negativeInfinity = row(1).getAs[Timestamp]("timestamp_column")
-    val minTimeStamp = LocalDateTime.of(1, 1, 1, 0, 0, 0).toEpochSecond(ZoneOffset.UTC)
-    val maxTimestamp = LocalDateTime.of(9999, 12, 31, 23, 59, 59).toEpochSecond(ZoneOffset.UTC)
-
+    val minTimeStamp = -62135596800000L
+    val maxTimestamp = 253402300799999L
     assert(infinity.getTime == maxTimestamp)
     assert(negativeInfinity.getTime == minTimeStamp)
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index 55cd64fa898c1..f8f72d88589e3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -293,8 +293,9 @@ private object PostgresDialect extends JdbcDialect with SQLConfHelper {
     val POSTGRESQL_DATE_POSITIVE_INFINITY = 9223372036825200000L
     val POSTGRESQL_DATE_DATE_POSITIVE_SMALLER_INFINITY = 185543533774800000L
 
-    val minTimeStamp = LocalDateTime.of(1, 1, 1, 0, 0, 0).toEpochSecond(ZoneOffset.UTC)
-    val maxTimestamp = LocalDateTime.of(9999, 12, 31, 23, 59, 59).toEpochSecond(ZoneOffset.UTC)
+    val minTimeStamp = LocalDateTime.of(1, 1, 1, 0, 0, 0).toInstant(ZoneOffset.UTC).toEpochMilli
+    val maxTimestamp =
+      LocalDateTime.of(9999, 12, 31, 23, 59, 59, 999999999).toInstant(ZoneOffset.UTC).toEpochMilli
 
     val time = t.getTime
     if (time == POSTGRESQL_DATE_POSITIVE_INFINITY ||

From 9baf82b1c97a792a3733dedccf1c03737b592bbd Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Wed, 20 Mar 2024 07:19:29 -0700
Subject: [PATCH 623/986] [SPARK-47481][INFRA][3.5] Fix Python linter

### What changes were proposed in this pull request?
The pr aims to fix `python linter issue` on `branch-3.5` through pinning `matplotlib==3.7.2`

### Why are the changes needed?
Fix `python linter issue` on `branch-3.5`.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #45550 from panbingkun/branch-3.5_scheduled_job.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/infra/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index d3fcd7ab36228..f0b88666c040d 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -65,10 +65,10 @@ RUN Rscript -e "devtools::install_version('roxygen2', version='7.2.0', repos='ht
 ENV R_LIBS_SITE "/usr/local/lib/R/site-library:${R_LIBS_SITE}:/usr/lib/R/library"
 
 RUN pypy3 -m pip install numpy 'pandas<=2.0.3' scipy coverage matplotlib
-RUN python3.9 -m pip install numpy 'pyarrow==12.0.1' 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
+RUN python3.9 -m pip install 'numpy==1.25.1' 'pyarrow==12.0.1' 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage 'matplotlib==3.7.2' openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
 
 # Add Python deps for Spark Connect.
 RUN python3.9 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 'protobuf==3.20.3' 'googleapis-common-protos==1.56.4'
 
 # Add torch as a testing dependency for TorchDistributor
-RUN python3.9 -m pip install torch torchvision torcheval
+RUN python3.9 -m pip install 'torch==2.0.1' 'torchvision==0.15.2' torcheval

From 430a407c39633637dba738482877edf806561ba7 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Wed, 20 Mar 2024 15:17:23 -0700
Subject: [PATCH 624/986] [SPARK-47494][DOC] Add migration doc for the behavior
 change of Parquet timestamp inference since Spark 3.3

### What changes were proposed in this pull request?

Add migration doc for the behavior change of Parquet timestamp inference since Spark 3.3

### Why are the changes needed?

Show the behavior change to users.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

It's just doc change

### Was this patch authored or co-authored using generative AI tooling?

Yes, there are some doc suggestion from copilot in docs/sql-migration-guide.md

Closes #45623 from gengliangwang/SPARK-47494.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 11247d804cd370aaeb88736a706c587e7f5c83b3)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/sql-migration-guide.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 0e54c33c6d125..f788d89c4999d 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -99,6 +99,8 @@ license: |
 
   - Since Spark 3.3, the `unbase64` function throws error for a malformed `str` input. Use `try_to_binary(<str>, 'base64')` to tolerate malformed input and return NULL instead. In Spark 3.2 and earlier, the `unbase64` function returns a best-efforts result for a malformed `str` input.
 
+  - Since Spark 3.3, when reading Parquet files that were not produced by Spark, Parquet timestamp columns with annotation `isAdjustedToUTC = false` are inferred as TIMESTAMP_NTZ type during schema inference. In Spark 3.2 and earlier, these columns are inferred as TIMESTAMP type. To restore the behavior before Spark 3.3, you can set `spark.sql.parquet.inferTimestampNTZ.enabled` to `false`.
+
   - Since Spark 3.3.1 and 3.2.3, for `SELECT ... GROUP BY a GROUPING SETS (b)`-style SQL statements, `grouping__id` returns different values from Apache Spark 3.2.0, 3.2.1, 3.2.2, and 3.3.0. It computes based on user-given group-by expressions plus grouping set columns. To restore the behavior before 3.3.1 and 3.2.3, you can set `spark.sql.legacy.groupingIdWithAppendedUserGroupBy`. For details, see [SPARK-40218](https://issues.apache.org/jira/browse/SPARK-40218) and [SPARK-40562](https://issues.apache.org/jira/browse/SPARK-40562).
 
 ## Upgrading from Spark SQL 3.1 to 3.2

From e17fdba1f507fda816dcf5af0f15684399f5b7f8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 20 Mar 2024 22:01:37 -0700
Subject: [PATCH 625/986] [MINOR][CORE] Fix a comment typo `slf4j-to-jul` to
 `jul-to-slf4j`

### What changes were proposed in this pull request?

This PR aims to fix a typo `slf4j-to-jul` to `jul-to-slf4j`. There exists only one.

```
$ git grep slf4j-to-jul
common/utils/src/main/scala/org/apache/spark/internal/Logging.scala:    // slf4j-to-jul bridge order to route their logs to JUL.
```

Apache Spark uses `jul-to-slf4j` which includes a `java.util.logging` (jul) handler, namely `SLF4JBridgeHandler`, which routes all incoming jul records to the SLF4j API.

https://github.com/apache/spark/blob/bb3e27581887a094ead0d2f7b4a6b2a17ee84b6f/pom.xml#L735

### Why are the changes needed?

This typo was there since Apache Spark 1.0.0.

### Does this PR introduce _any_ user-facing change?

No, this is a comment fix.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45625 from dongjoon-hyun/jul-to-slf4j.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit bb0867f54d437f6467274e854506aea2900bceb1)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/scala/org/apache/spark/internal/Logging.scala      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/common/utils/src/main/scala/org/apache/spark/internal/Logging.scala b/common/utils/src/main/scala/org/apache/spark/internal/Logging.scala
index 83e01330ce3f6..bd82ce962b8d0 100644
--- a/common/utils/src/main/scala/org/apache/spark/internal/Logging.scala
+++ b/common/utils/src/main/scala/org/apache/spark/internal/Logging.scala
@@ -196,7 +196,7 @@ private[spark] object Logging {
   val initLock = new Object()
   try {
     // We use reflection here to handle the case where users remove the
-    // slf4j-to-jul bridge order to route their logs to JUL.
+    // jul-to-slf4j bridge order to route their logs to JUL.
     val bridgeClass = SparkClassUtils.classForName("org.slf4j.bridge.SLF4JBridgeHandler")
     bridgeClass.getMethod("removeHandlersForRootLogger").invoke(null)
     val installed = bridgeClass.getMethod("isInstalled").invoke(null).asInstanceOf[Boolean]

From 203f943efcb1ad699f1098c86d4bb4e46fc3bbc2 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 21 Mar 2024 12:16:25 -0700
Subject: [PATCH 626/986] [SPARK-47507][BUILD][3.5] Upgrade ORC to 1.9.3

### What changes were proposed in this pull request?

This PR aims to upgrade ORC to 1.9.3 for Apache Spark 3.5.2.

### Why are the changes needed?

Apache ORC 1.9.3 is the latest maintenance release. To bring the latest bug fixes, we had better upgrade.
- https://orc.apache.org/news/2024/03/20/ORC-1.9.3/
  - https://github.com/apache/orc/pull/1692

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45646 from dongjoon-hyun/SPARK-47507.

Lead-authored-by: Dongjoon Hyun <dhyun@apple.com>
Co-authored-by: Gang Wu <ustcwg@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 6 +++---
 pom.xml                               | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 8ecf931bf513a..1cd7d5a8f2d7b 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -212,9 +212,9 @@ opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
 opentracing-util/0.33.0//opentracing-util-0.33.0.jar
-orc-core/1.9.2/shaded-protobuf/orc-core-1.9.2-shaded-protobuf.jar
-orc-mapreduce/1.9.2/shaded-protobuf/orc-mapreduce-1.9.2-shaded-protobuf.jar
-orc-shims/1.9.2//orc-shims-1.9.2.jar
+orc-core/1.9.3/shaded-protobuf/orc-core-1.9.3-shaded-protobuf.jar
+orc-mapreduce/1.9.3/shaded-protobuf/orc-mapreduce-1.9.3-shaded-protobuf.jar
+orc-shims/1.9.3//orc-shims-1.9.3.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
diff --git a/pom.xml b/pom.xml
index fb6208777d3ff..269a42d41f172 100644
--- a/pom.xml
+++ b/pom.xml
@@ -141,7 +141,7 @@
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
     <parquet.version>1.13.1</parquet.version>
-    <orc.version>1.9.2</orc.version>
+    <orc.version>1.9.3</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.54.v20240208</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

From 1fe396213b57e4697145f5fa1b9f0d24a35399df Mon Sep 17 00:00:00 2001
From: Raza Jafri <rjafri@nvidia.com>
Date: Thu, 21 Mar 2024 14:45:56 -0500
Subject: [PATCH 627/986] [SPARK-47398][SQL] Extract a trait for
 InMemoryTableScanExec to allow for extending functionality

### What changes were proposed in this pull request?
We are proposing to allow the users to have a custom `InMemoryTableScanExec`. To accomplish this we can follow the same convention we followed for `ShuffleExchangeLike` and `BroadcastExchangeLike`

### Why are the changes needed?
In the PR added by ulysses-you, we are wrapping `InMemoryTableScanExec` inside `TableCacheQueryStageExec`. This could potentially cause problems, especially in the RAPIDS Accelerator for Apache Spark, where we replace `InMemoryTableScanExec` with a customized version that has optimizations needed by us. This situation could lead to the loss of benefits from [SPARK-42101](https://issues.apache.org/jira/browse/SPARK-42101) or even result in Spark throwing an Exception.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Ran the existing tests

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45525 from razajafri/extract-inmem-trait.

Authored-by: Raza Jafri <rjafri@nvidia.com>
Signed-off-by: Thomas Graves <tgraves@apache.org>
(cherry picked from commit 6a27789ad7d59cd133653a49be0bb49729542abe)
Signed-off-by: Thomas Graves <tgraves@apache.org>
---
 .../adaptive/AdaptiveSparkPlanExec.scala      | 16 ++++-----
 .../execution/adaptive/QueryStageExec.scala   |  8 ++---
 .../columnar/InMemoryTableScanExec.scala      | 33 +++++++++++++++++--
 .../adaptive/AdaptiveQueryExecSuite.scala     |  6 ++--
 4 files changed, 45 insertions(+), 18 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
index 96b83a91cc739..d2e879e3eddb1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
@@ -41,7 +41,7 @@ import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec._
 import org.apache.spark.sql.execution.bucketing.{CoalesceBucketsInJoin, DisableUnnecessaryBucketedScan}
-import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+import org.apache.spark.sql.execution.columnar.InMemoryTableScanLike
 import org.apache.spark.sql.execution.exchange._
 import org.apache.spark.sql.execution.ui.{SparkListenerSQLAdaptiveExecutionUpdate, SparkListenerSQLAdaptiveSQLMetricUpdates, SQLPlanMetric}
 import org.apache.spark.sql.internal.SQLConf
@@ -254,7 +254,7 @@ case class AdaptiveSparkPlanExec(
     //    and display SQL metrics correctly.
     // 2. If the `QueryExecution` does not match the current execution ID, it means the execution
     //    ID belongs to another (parent) query, and we should not call update UI in this query.
-    //    e.g., a nested `AdaptiveSparkPlanExec` in `InMemoryTableScanExec`.
+    //    e.g., a nested `AdaptiveSparkPlanExec` in `InMemoryTableScanLike`.
     //
     // That means only the root `AdaptiveSparkPlanExec` of the main query that triggers this
     // query execution need to do a plan update for the UI.
@@ -557,9 +557,9 @@ case class AdaptiveSparkPlanExec(
           }
       }
 
-    case i: InMemoryTableScanExec =>
-      // There is no reuse for `InMemoryTableScanExec`, which is different from `Exchange`. If we
-      // hit it the first time, we should always create a new query stage.
+    case i: InMemoryTableScanLike =>
+      // There is no reuse for `InMemoryTableScanLike`, which is different from `Exchange`.
+      // If we hit it the first time, we should always create a new query stage.
       val newStage = newQueryStage(i)
       CreateStageResult(
         newPlan = newStage,
@@ -604,12 +604,12 @@ case class AdaptiveSparkPlanExec(
           }
           BroadcastQueryStageExec(currentStageId, newPlan, e.canonicalized)
         }
-      case i: InMemoryTableScanExec =>
+      case i: InMemoryTableScanLike =>
         // Apply `queryStageOptimizerRules` so that we can reuse subquery.
-        // No need to apply `postStageCreationRules` for `InMemoryTableScanExec`
+        // No need to apply `postStageCreationRules` for `InMemoryTableScanLike`
         // as it's a leaf node.
         val newPlan = optimizeQueryStage(i, isFinalStage = false)
-        if (!newPlan.isInstanceOf[InMemoryTableScanExec]) {
+        if (!newPlan.isInstanceOf[InMemoryTableScanLike]) {
           throw SparkException.internalError(
             "Custom AQE rules cannot transform table scan node to something else.")
         }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
index b941feb12fc05..433315c493215 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.plans.logical.Statistics
 import org.apache.spark.sql.catalyst.plans.physical.Partitioning
 import org.apache.spark.sql.columnar.CachedBatch
 import org.apache.spark.sql.execution._
-import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+import org.apache.spark.sql.execution.columnar.InMemoryTableScanLike
 import org.apache.spark.sql.execution.exchange._
 import org.apache.spark.sql.vectorized.ColumnarBatch
 
@@ -261,7 +261,7 @@ case class BroadcastQueryStageExec(
 }
 
 /**
- * A table cache query stage whose child is a [[InMemoryTableScanExec]].
+ * A table cache query stage whose child is a [[InMemoryTableScanLike]].
  *
  * @param id the query stage id.
  * @param plan the underlying plan.
@@ -271,7 +271,7 @@ case class TableCacheQueryStageExec(
     override val plan: SparkPlan) extends QueryStageExec {
 
   @transient val inMemoryTableScan = plan match {
-    case i: InMemoryTableScanExec => i
+    case i: InMemoryTableScanLike => i
     case _ =>
       throw new IllegalStateException(s"wrong plan for table cache stage:\n ${plan.treeString}")
   }
@@ -294,5 +294,5 @@ case class TableCacheQueryStageExec(
 
   override protected def doMaterialize(): Future[Any] = future
 
-  override def getRuntimeStatistics: Statistics = inMemoryTableScan.relation.computeStats()
+  override def getRuntimeStatistics: Statistics = inMemoryTableScan.runtimeStatistics
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
index 08244a4f84fea..5ff8bfd75f8a7 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
@@ -21,6 +21,7 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.QueryPlan
+import org.apache.spark.sql.catalyst.plans.logical.Statistics
 import org.apache.spark.sql.catalyst.plans.physical.Partitioning
 import org.apache.spark.sql.columnar.CachedBatch
 import org.apache.spark.sql.execution.{LeafExecNode, SparkPlan, WholeStageCodegenExec}
@@ -28,11 +29,32 @@ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec
 import org.apache.spark.sql.execution.metric.SQLMetrics
 import org.apache.spark.sql.vectorized.ColumnarBatch
 
+/**
+ * Common trait for all InMemoryTableScans implementations to facilitate pattern matching.
+ */
+trait InMemoryTableScanLike extends LeafExecNode {
+
+  /**
+   * Returns whether the cache buffer is loaded
+   */
+  def isMaterialized: Boolean
+
+  /**
+   * Returns the actual cached RDD without filters and serialization of row/columnar.
+   */
+  def baseCacheRDD(): RDD[CachedBatch]
+
+  /**
+   * Returns the runtime statistics after materialization.
+   */
+  def runtimeStatistics: Statistics
+}
+
 case class InMemoryTableScanExec(
     attributes: Seq[Attribute],
     predicates: Seq[Expression],
     @transient relation: InMemoryRelation)
-  extends LeafExecNode {
+  extends InMemoryTableScanLike {
 
   override lazy val metrics = Map(
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"))
@@ -167,13 +189,18 @@ case class InMemoryTableScanExec(
     columnarInputRDD
   }
 
-  def isMaterialized: Boolean = relation.cacheBuilder.isCachedColumnBuffersLoaded
+  override def isMaterialized: Boolean = relation.cacheBuilder.isCachedColumnBuffersLoaded
 
   /**
    * This method is only used by AQE which executes the actually cached RDD that without filter and
    * serialization of row/columnar.
    */
-  def baseCacheRDD(): RDD[CachedBatch] = {
+  override def baseCacheRDD(): RDD[CachedBatch] = {
     relation.cacheBuilder.cachedColumnBuffers
   }
+
+  /**
+   * Returns the runtime statistics after shuffle materialization.
+   */
+  override def runtimeStatistics: Statistics = relation.computeStats()
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index 68bae34790a00..7c280f72ca176 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
 import org.apache.spark.sql.execution.{CollectLimitExec, ColumnarToRowExec, LocalTableScanExec, PartialReducerPartitionSpec, QueryExecution, ReusedSubqueryExec, ShuffledRowRDD, SortExec, SparkPlan, SparkPlanInfo, UnionExec}
 import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
-import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+import org.apache.spark.sql.execution.columnar.{InMemoryTableScanExec, InMemoryTableScanLike}
 import org.apache.spark.sql.execution.command.DataWritingCommandExec
 import org.apache.spark.sql.execution.datasources.noop.NoopDataSource
 import org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec
@@ -2758,7 +2758,7 @@ class AdaptiveQueryExecSuite
           case s: SortExec => s
         }.size == (if (firstAccess) 2 else 0))
         assert(collect(initialExecutedPlan) {
-          case i: InMemoryTableScanExec => i
+          case i: InMemoryTableScanLike => i
         }.head.isMaterialized != firstAccess)
 
         df.collect()
@@ -2770,7 +2770,7 @@ class AdaptiveQueryExecSuite
           case s: SortExec => s
         }.isEmpty)
         assert(collect(initialExecutedPlan) {
-          case i: InMemoryTableScanExec => i
+          case i: InMemoryTableScanLike => i
         }.head.isMaterialized)
       }
 

From e57a7d068839d549afe08b4a79e82d027b56a5f5 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 21 Mar 2024 23:06:03 -0700
Subject: [PATCH 628/986] [SPARK-47462][SQL][FOLLOWUP][3.5] Add migration guide
 for TINYINT mapping changes

### What changes were proposed in this pull request?

Add migration guide for TINYINT type mapping changes
### Why are the changes needed?

behavior change doc
### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?
doc build

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #45658 from yaooqinn/SPARK-47462-FB.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/sql-migration-guide.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index f788d89c4999d..3bb83750ef927 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -22,6 +22,14 @@ license: |
 * Table of contents
 {:toc}
 
+## Upgrading from Spark SQL 3.5.1 to 3.5.2
+
+- Since 3.5.2, MySQL JDBC datasource will read TINYINT UNSIGNED as ShortType, while in 3.5.1, it was wrongly read as ByteType.
+
+## Upgrading from Spark SQL 3.5.0 to 3.5.1
+
+- Since Spark 3.5.1, MySQL JDBC datasource will read TINYINT(n > 1) and TINYINT UNSIGNED as ByteType, while in Spark 3.5.0 and below, they were read as IntegerType. To restore the previous behavior, you can cast the column to the old type.
+
 ## Upgrading from Spark SQL 3.4 to 3.5
 
 - Since Spark 3.5, the JDBC options related to DS V2 pushdown are `true` by default. These options include: `pushDownAggregate`, `pushDownLimit`, `pushDownOffset` and `pushDownTableSample`. To restore the legacy behavior, please set them to `false`. e.g. set `spark.sql.catalog.your_catalog_name.pushDownAggregate` to `false`.

From 91d11568c2ebd937e0ea6de892649d9115035410 Mon Sep 17 00:00:00 2001
From: Stefan Bukorovic <stefan.bukorovic@databricks.com>
Date: Fri, 22 Mar 2024 18:44:30 +0800
Subject: [PATCH 629/986] [SPARK-47440][SQL] Fix pushing unsupported syntax to
 MsSqlServer

### What changes were proposed in this pull request?
In this PR, I propose a change in SQLQuery builder of MsSqlServer dialect. I override build method to check for boolean operator in binary comparisons and throw exception if encountered.

### Why are the changes needed?
MsSqlServer syntax prevents boolean operators in any binary comparison. Reasoning is lack of boolean data type in MsSqlServer.
It was possible to construct Spark query that would generate this situation in MsSqlServer and engine would throw syntax exception on the MsSqlServer side. This PR solves this bug.
For example, in table `people` there is a `name` column. In MsSqlServer if we try to execute:
`SELECT * FROM people WHERE (name LIKE 'a%') = (name LIKE '%b')`
we would get a syntax error. However this query is fine in other major engines.

### Does this PR introduce _any_ user-facing change?
Yes, user will not encounter syntax exception in MsSqlServer when writing these queries.

### How was this patch tested?
By running a unit test in MsSqlServerIntegrationSuite

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #45564 from stefanbuk-db/SQLServer_like_operator_bugfix.

Authored-by: Stefan Bukorovic <stefan.bukorovic@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 227a50a1766ac1476b0031e1c60d2604eccdb9a7)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala    | 16 ++++++++++++++++
 .../spark/sql/jdbc/MsSqlServerDialect.scala      | 15 +++++++++++++++
 2 files changed, 31 insertions(+)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index e451cc2b8c52a..0dc3a39f4db5d 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -127,4 +127,20 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
       },
       errorClass = "_LEGACY_ERROR_TEMP_2271")
   }
+
+  test("SPARK-47440: SQLServer does not support boolean expression in binary comparison") {
+    val df1 = sql("SELECT name FROM " +
+      s"$catalogName.employee WHERE ((name LIKE 'am%') = (name LIKE '%y'))")
+    assert(df1.collect().length == 4)
+
+    val df2 = sql("SELECT name FROM " +
+      s"$catalogName.employee " +
+      "WHERE ((name NOT LIKE 'am%') = (name NOT LIKE '%y'))")
+    assert(df2.collect().length == 4)
+
+    val df3 = sql("SELECT name FROM " +
+      s"$catalogName.employee " +
+      "WHERE (dept > 1 AND ((name LIKE 'am%') = (name LIKE '%y')))")
+    assert(df3.collect().length == 3)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
index 78ec3ac42d797..3022bca87a9f9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.analysis.NonEmptyNamespaceException
 import org.apache.spark.sql.connector.catalog.Identifier
 import org.apache.spark.sql.connector.expressions.{Expression, NullOrdering, SortDirection}
+import org.apache.spark.sql.connector.expressions.filter.Predicate
 import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions
 import org.apache.spark.sql.internal.SQLConf
@@ -86,6 +87,20 @@ private object MsSqlServerDialect extends JdbcDialect {
       case "STDDEV_SAMP" => "STDEV"
       case _ => super.dialectFunctionName(funcName)
     }
+
+    override def build(expr: Expression): String = {
+      // MsSqlServer does not support boolean comparison using standard comparison operators
+      // We shouldn't propagate these queries to MsSqlServer
+      expr match {
+        case e: Predicate => e.name() match {
+          case "=" | "<>" | "<=>" | "<" | "<=" | ">" | ">="
+              if e.children().exists(_.isInstanceOf[Predicate]) =>
+            super.visitUnexpectedExpr(expr)
+          case _ => super.build(expr)
+        }
+        case _ => super.build(expr)
+      }
+    }
   }
 
   override def compileExpression(expr: Expression): Option[String] = {

From 30cb7edecbf0ef7aed1e216ad147ebb318aea09c Mon Sep 17 00:00:00 2001
From: maheshbehera <maheshbehera@microsoft.com>
Date: Fri, 22 Mar 2024 10:44:55 -0700
Subject: [PATCH 630/986] [SPARK-47521][CORE] Use `Utils.tryWithResource`
 during reading shuffle data from external storage

### What changes were proposed in this pull request?

In method FallbackStorage.open, file open is guarded by Utils.tryWithResource to avoid file handle leakage incase of failure during read.

### Why are the changes needed?

To avoid file handle leakage in case of read failure.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing UTs

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45663 from maheshk114/SPARK-47521.

Authored-by: maheshbehera <maheshbehera@microsoft.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 245669053a34cb1d4a84689230e5bd1d163be5c6)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../org/apache/spark/storage/FallbackStorage.scala     | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/FallbackStorage.scala b/core/src/main/scala/org/apache/spark/storage/FallbackStorage.scala
index eb23fb4b1c84d..161120393490f 100644
--- a/core/src/main/scala/org/apache/spark/storage/FallbackStorage.scala
+++ b/core/src/main/scala/org/apache/spark/storage/FallbackStorage.scala
@@ -188,15 +188,15 @@ private[spark] object FallbackStorage extends Logging {
         val name = ShuffleDataBlockId(shuffleId, mapId, NOOP_REDUCE_ID).name
         val hash = JavaUtils.nonNegativeHash(name)
         val dataFile = new Path(fallbackPath, s"$appId/$shuffleId/$hash/$name")
-        val f = fallbackFileSystem.open(dataFile)
         val size = nextOffset - offset
         logDebug(s"To byte array $size")
         val array = new Array[Byte](size.toInt)
         val startTimeNs = System.nanoTime()
-        f.seek(offset)
-        f.readFully(array)
-        logDebug(s"Took ${(System.nanoTime() - startTimeNs) / (1000 * 1000)}ms")
-        f.close()
+        Utils.tryWithResource(fallbackFileSystem.open(dataFile)) { f =>
+          f.seek(offset)
+          f.readFully(array)
+          logDebug(s"Took ${(System.nanoTime() - startTimeNs) / (1000 * 1000)}ms")
+        }
         new NioManagedBuffer(ByteBuffer.wrap(array))
       }
     }

From 2016db66e578a0459672aad2a82a53a69601eaec Mon Sep 17 00:00:00 2001
From: alexey <seko.alexsey13@gmail.com>
Date: Sun, 24 Mar 2024 15:17:10 -0700
Subject: [PATCH 631/986] [SPARK-47503][SQL][3.5] Make makeDotNode escape graph
 node name always

### What changes were proposed in this pull request?

This is a backport of https://github.com/apache/spark/pull/45640

To prevent corruption of dot file a node name should be escaped even if there is no metrics to display

### Why are the changes needed?

This pr fixes a bug in spark history server which fails to display query for cached JDBC relation named in quotes.

### Does this PR introduce any user-facing change?
No.

### How was this patch tested?
Unit test.

### Was this patch authored or co-authored using generative AI tooling?
 No.

Closes #45684 from alex35736/branch-3.5.

Authored-by: alexey <seko.alexsey13@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/execution/ui/SparkPlanGraph.scala     |  3 +-
 .../execution/ui/SparkPlanGraphSuite.scala    | 44 +++++++++++++++++++
 2 files changed, 46 insertions(+), 1 deletion(-)
 create mode 100644 sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SparkPlanGraphSuite.scala

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SparkPlanGraph.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SparkPlanGraph.scala
index 1504207d39cb1..668cece533353 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SparkPlanGraph.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SparkPlanGraph.scala
@@ -189,7 +189,8 @@ class SparkPlanGraphNode(
     } else {
       // SPARK-30684: when there is no metrics, add empty lines to increase the height of the node,
       // so that there won't be gaps between an edge and a small node.
-      s"""  $id [labelType="html" label="<br><b>$name</b><br><br>"];"""
+      val escapedName = StringEscapeUtils.escapeJava(name)
+      s"""  $id [labelType="html" label="<br><b>$escapedName</b><br><br>"];"""
     }
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SparkPlanGraphSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SparkPlanGraphSuite.scala
new file mode 100644
index 0000000000000..88237cd09ac71
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SparkPlanGraphSuite.scala
@@ -0,0 +1,44 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.execution.ui
+
+import org.apache.spark.SparkFunSuite
+
+class SparkPlanGraphSuite extends SparkFunSuite {
+  test("SPARK-47503: name of a node should be escaped even if there is no metrics") {
+    val planGraphNode = new SparkPlanGraphNode(
+      id = 24,
+      name = "Scan JDBCRelation(\"test-schema\".tickets) [numPartitions=1]",
+      desc = "Scan JDBCRelation(\"test-schema\".tickets) [numPartitions=1] " +
+        "[ticket_no#0] PushedFilters: [], ReadSchema: struct<ticket_no:string>",
+      metrics = List(
+        SQLPlanMetric(
+          name = "number of output rows",
+          accumulatorId = 75,
+          metricType = "sum"
+        ),
+        SQLPlanMetric(
+          name = "JDBC query execution time",
+          accumulatorId = 35,
+          metricType = "nsTiming")))
+    val dotNode = planGraphNode.makeDotNode(Map.empty[Long, String])
+    val expectedDotNode = "  24 [labelType=\"html\" label=\"<br><b>" +
+      "Scan JDBCRelation(\\\"test-schema\\\".tickets) [numPartitions=1]</b><br><br>\"];"
+
+    assertResult(expectedDotNode)(dotNode)
+  }
+}

From 9ad7b75784daa48bf20dd00ae3288c718272fd69 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 25 Mar 2024 08:50:00 -0700
Subject: [PATCH 632/986] [SPARK-47537][SQL][3.5] Fix error data type mapping
 on MySQL Connector/J

### What changes were proposed in this pull request?

This PR fixes:
- BIT(n>1) is wrongly mapping to boolean instead of long for MySQL Connector/J. This is because we only have a case branch for Maria Connector/J.
- MySQL Docker Integration Tests were using Maria Connector/J, not MySQL Connector/J

### Why are the changes needed?

Bugfix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #45690 from yaooqinn/SPARK-47537-B.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/jdbc/MySQLIntegrationSuite.scala      | 47 ++++++++++++++++++-
 .../sql/jdbc/v2/MySQLIntegrationSuite.scala   | 38 ++++++++++++---
 .../sql/jdbc/v2/MySQLNamespaceSuite.scala     |  4 +-
 .../apache/spark/sql/jdbc/MySQLDialect.scala  |  5 ++
 4 files changed, 84 insertions(+), 10 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
index dcf4225d522d1..68d88fbc552ab 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
@@ -43,7 +43,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     override val usesIpc = false
     override val jdbcPort: Int = 3306
     override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass"
+      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass&disableMariaDbDriver"
   }
 
   override def dataPreparation(conn: Connection): Unit = {
@@ -75,6 +75,19 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
       "'jumps', 'over', 'the', 'lazy', 'dog', '{\"status\": \"merrily\"}')").executeUpdate()
   }
 
+  def testConnection(): Unit = {
+    val conn = getConnection()
+    try {
+      assert(conn.getClass.getName === "com.mysql.cj.jdbc.ConnectionImpl")
+    } finally {
+      conn.close()
+    }
+  }
+
+  test("SPARK-47537: ensure use the right jdbc driver") {
+    testConnection()
+  }
+
   test("Basic test") {
     val df = sqlContext.read.jdbc(jdbcUrl, "tbl", new Properties)
     val rows = df.collect()
@@ -200,3 +213,35 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     assert(sql("select x, y from queryOption").collect.toSet == expectedResult)
   }
 }
+
+/**
+ * To run this test suite for a specific version (e.g., mysql:8.3.0):
+ * {{{
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 MYSQL_DOCKER_IMAGE_NAME=mysql:8.3.0
+ *     ./build/sbt -Pdocker-integration-tests
+ *     "docker-integration-tests/testOnly *MySQLOverMariaConnectorIntegrationSuite"
+ * }}}
+ */
+@DockerTest
+class MySQLOverMariaConnectorIntegrationSuite extends MySQLIntegrationSuite {
+
+  override val db = new DatabaseOnDocker {
+    override val imageName = sys.env.getOrElse("MYSQL_DOCKER_IMAGE_NAME", "mysql:8.0.31")
+    override val env = Map(
+      "MYSQL_ROOT_PASSWORD" -> "rootpass"
+    )
+    override val usesIpc = false
+    override val jdbcPort: Int = 3306
+    override def getJdbcUrl(ip: String, port: Int): String =
+      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass"
+  }
+
+  override def testConnection(): Unit = {
+    val conn = getConnection()
+    try {
+      assert(conn.getClass.getName === "org.mariadb.jdbc.MariaDbConnection")
+    } finally {
+      conn.close()
+    }
+  }
+}
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
index 719b858b87b63..f6f264804e7db 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
@@ -68,8 +68,8 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     override val jdbcPort: Int = 3306
 
     override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:mysql://$ip:$port/" +
-        s"mysql?user=root&password=rootpass&allowPublicKeyRetrieval=true&useSSL=false"
+      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass&allowPublicKeyRetrieval=true" +
+        "&useSSL=false&disableMariaDbDriver"
   }
 
   override def sparkConf: SparkConf = super.sparkConf
@@ -83,11 +83,6 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
 
   private var mySQLVersion = -1
 
-  override def defaultMetadata(dataType: DataType = StringType): Metadata = new MetadataBuilder()
-    .putLong("scale", 0)
-    .putBoolean("isSigned", true)
-    .build()
-
   override def tablePreparation(connection: Connection): Unit = {
     mySQLVersion = connection.getMetaData.getDatabaseMajorVersion
     connection.prepareStatement(
@@ -172,3 +167,32 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     }
   }
 }
+
+/**
+ * To run this test suite for a specific version (e.g., mysql:8.3.0):
+ * {{{
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 MYSQL_DOCKER_IMAGE_NAME=mysql:8.3.0
+ *     ./build/sbt -Pdocker-integration-tests
+ *     "docker-integration-tests/testOnly *MySQLOverMariaConnectorIntegrationSuite"
+ * }}}
+ */
+@DockerTest
+class MySQLOverMariaConnectorIntegrationSuite extends MySQLIntegrationSuite {
+  override def defaultMetadata(dataType: DataType = StringType): Metadata = new MetadataBuilder()
+    .putLong("scale", 0)
+    .putBoolean("isSigned", true)
+    .build()
+
+  override val db = new DatabaseOnDocker {
+    override val imageName = sys.env.getOrElse("MYSQL_DOCKER_IMAGE_NAME", "mysql:8.0.31")
+    override val env = Map(
+      "MYSQL_ROOT_PASSWORD" -> "rootpass"
+    )
+    override val usesIpc = false
+    override val jdbcPort: Int = 3306
+
+    override def getJdbcUrl(ip: String, port: Int): String =
+      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass&allowPublicKeyRetrieval=true" +
+        "&useSSL=false"
+  }
+}
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLNamespaceSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLNamespaceSuite.scala
index d58146fecdf42..8b889f8509f56 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLNamespaceSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLNamespaceSuite.scala
@@ -45,8 +45,8 @@ class MySQLNamespaceSuite extends DockerJDBCIntegrationSuite with V2JDBCNamespac
     override val jdbcPort: Int = 3306
 
     override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:mysql://$ip:$port/" +
-        s"mysql?user=root&password=rootpass&allowPublicKeyRetrieval=true&useSSL=false"
+      s"jdbc:mysql://$ip:$port/mysql?user=root&password=rootpass&allowPublicKeyRetrieval=true" +
+        "&useSSL=false&disableMariaDbDriver"
   }
 
   val map = new CaseInsensitiveStringMap(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index bf27b748e24e9..ef2be1c9c5c6c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -89,10 +89,15 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
   override def getCatalystType(
       sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType] = {
     if (sqlType == Types.VARBINARY && typeName.equals("BIT") && size != 1) {
+      // MariaDB connector behaviour
       // This could instead be a BinaryType if we'd rather return bit-vectors of up to 64 bits as
       // byte arrays instead of longs.
       md.putLong("binarylong", 1)
       Option(LongType)
+    } else if (sqlType == Types.BIT && size > 1) {
+      // MySQL connector behaviour
+      md.putLong("binarylong", 1)
+      Option(LongType)
     } else if (sqlType == Types.BIT && typeName.equals("TINYINT")) {
       Option(BooleanType)
     } else if ("TINYTEXT".equalsIgnoreCase(typeName)) {

From 8bcbf7701388a2da06369ae9317d7707624edba0 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 26 Mar 2024 07:45:54 -0700
Subject: [PATCH 633/986] [SPARK-47561][SQL] Fix analyzer rule order issues
 about Alias

### What changes were proposed in this pull request?

We found two analyzer rule execution order issues in our internal workloads:
- `CreateStruct.apply` creates `NamePlaceholder` for unresolved `NamedExpression`. However, with certain rule execution order, the `NamedExpression` may be removed (e.g. remove unnecessary `Alias`) before `NamePlaceholder` is resolved, then `NamePlaceholder` can't be resolved anymore.
- UNPIVOT uses `UnresolvedAlias` to wrap `UnresolvedAttribute`. There is a conflict about how to determine the final alias name. If `ResolveAliases` runs first, then `UnresolvedAlias` will be removed and eventually the alias will be `b` for nested column `a.b`. If `ResolveReferences` runs first, then we resolve `a.b` first and then `UnresolvedAlias` will determine the alias as `a.b` not `b`.

This PR fixes the two issues
- `CreateStruct.apply` should determine the field name immediately if the input is `Alias`
- The parser rule for UNPIVOT should follow how we parse SELECT and return `UnresolvedAttribute` directly without the `UnresolvedAlias` wrapper. It's a bit risky to fix the order issue between `ResolveAliases` and `ResolveReferences` as it can change the final query schema, we will save it for later.

### Why are the changes needed?

fix unstable analyzer behavior with different rule execution orders.

### Does this PR introduce _any_ user-facing change?

Yes, some failed queries can run now. The issue for UNPIVOT only affects the error message.

### How was this patch tested?

verified by our internal workloads. The repro query is quite complicated to trigger a certain rule execution order so we won't add tests for it. The fix is quite obvious.

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #45718 from cloud-fan/rule.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/complexTypeCreator.scala      |  1 +
 .../sql/catalyst/parser/AstBuilder.scala      |  2 +-
 .../catalyst/parser/UnpivotParserSuite.scala  | 39 +++++++++----------
 3 files changed, 20 insertions(+), 22 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
index 2051219131219..c95a0987330d9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
@@ -372,6 +372,7 @@ object CreateStruct {
       // alias name inside CreateNamedStruct.
       case (u: UnresolvedAttribute, _) => Seq(Literal(u.nameParts.last), u)
       case (u @ UnresolvedExtractValue(_, e: Literal), _) if e.dataType == StringType => Seq(e, u)
+      case (a: Alias, _) => Seq(Literal(a.name), a)
       case (e: NamedExpression, _) if e.resolved => Seq(Literal(e.name), e)
       case (e: NamedExpression, _) => Seq(NamePlaceholder, e)
       case (e, index) => Seq(Literal(s"col${index + 1}"), e)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index 90fbdd94dc386..5d68aed9245a4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -1291,7 +1291,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
    * Create an Unpivot column.
    */
   override def visitUnpivotColumn(ctx: UnpivotColumnContext): NamedExpression = withOrigin(ctx) {
-    UnresolvedAlias(UnresolvedAttribute(visitMultipartIdentifier(ctx.multipartIdentifier)))
+    UnresolvedAttribute(visitMultipartIdentifier(ctx.multipartIdentifier))
   }
 
   /**
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/UnpivotParserSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/UnpivotParserSuite.scala
index c680e08c1c832..3012ef6f1544d 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/UnpivotParserSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/UnpivotParserSuite.scala
@@ -39,7 +39,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t UNPIVOT (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -59,7 +59,7 @@ class UnpivotParserSuite extends AnalysisTest {
           sql,
           Unpivot(
             None,
-            Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+            Some(Seq(Seq($"a"), Seq($"b"))),
             Some(Seq(Some("A"), None)),
             "col",
             Seq("val"),
@@ -76,7 +76,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t UNPIVOT ((val1, val2) FOR col in ((a, b), (c, d)))",
       Unpivot(
         None,
-        Some(Seq(Seq($"a", $"b").map(UnresolvedAlias(_)), Seq($"c", $"d").map(UnresolvedAlias(_)))),
+        Some(Seq(Seq($"a", $"b"), Seq($"c", $"d"))),
         None,
         "col",
         Seq("val1", "val2"),
@@ -96,10 +96,7 @@ class UnpivotParserSuite extends AnalysisTest {
           sql,
           Unpivot(
             None,
-            Some(Seq(
-              Seq($"a", $"b").map(UnresolvedAlias(_)),
-              Seq($"c", $"d").map(UnresolvedAlias(_))
-            )),
+            Some(Seq(Seq($"a", $"b"), Seq($"c", $"d"))),
             Some(Seq(Some("first"), None)),
             "col",
             Seq("val1", "val2"),
@@ -132,7 +129,7 @@ class UnpivotParserSuite extends AnalysisTest {
           sql,
           Unpivot(
             None,
-            Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+            Some(Seq(Seq($"a"), Seq($"b"))),
             None,
             "col",
             Seq("val"),
@@ -169,7 +166,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t UNPIVOT EXCLUDE NULLS (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -184,7 +181,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t UNPIVOT INCLUDE NULLS (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -199,7 +196,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1 UNPIVOT (val FOR col in (a, b)) JOIN t2",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -211,7 +208,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1 JOIN t2 UNPIVOT (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -224,7 +221,7 @@ class UnpivotParserSuite extends AnalysisTest {
       table("t1").join(
         Unpivot(
           None,
-          Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+          Some(Seq(Seq($"a"), Seq($"b"))),
           None,
           "col",
           Seq("val"),
@@ -239,7 +236,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1 UNPIVOT (val FOR col in (a, b)), t2",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -251,7 +248,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1, t2 UNPIVOT (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -267,7 +264,7 @@ class UnpivotParserSuite extends AnalysisTest {
         table("t1").join(
           Unpivot(
             None,
-            Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+            Some(Seq(Seq($"a"), Seq($"b"))),
             None,
             "col",
             Seq("val"),
@@ -282,7 +279,7 @@ class UnpivotParserSuite extends AnalysisTest {
       table("t1").join(
         Unpivot(
           None,
-          Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+          Some(Seq(Seq($"a"), Seq($"b"))),
           None,
           "col",
           Seq("val"),
@@ -296,7 +293,7 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1, t2 JOIN t3 UNPIVOT (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
@@ -311,7 +308,7 @@ class UnpivotParserSuite extends AnalysisTest {
         table("t1").join(
           Unpivot(
             None,
-            Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+            Some(Seq(Seq($"a"), Seq($"b"))),
             None,
             "col",
             Seq("val"),
@@ -326,13 +323,13 @@ class UnpivotParserSuite extends AnalysisTest {
       "SELECT * FROM t1 UNPIVOT (val FOR col in (a, b)) UNPIVOT (val FOR col in (a, b))",
       Unpivot(
         None,
-        Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+        Some(Seq(Seq($"a"), Seq($"b"))),
         None,
         "col",
         Seq("val"),
         Unpivot(
           None,
-          Some(Seq(Seq(UnresolvedAlias($"a")), Seq(UnresolvedAlias($"b")))),
+          Some(Seq(Seq($"a"), Seq($"b"))),
           None,
           "col",
           Seq("val"),

From edae8edc3a45a860a9402018cb44760266515154 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 28 Mar 2024 16:34:25 -0700
Subject: [PATCH 634/986] [SPARK-47636][K8S][3.5] Use Java `17` instead of
 `17-jre` image in K8s Dockerfile

### What changes were proposed in this pull request?

This PR aims to use Java 21 instead of 21-jre in K8s Dockerfile .

### Why are the changes needed?

Since Apache Spark 3.5.0, SPARK-44153 starts to use `jmap` like the following.

https://github.com/apache/spark/blob/c832e2ac1d04668c77493577662c639785808657/core/src/main/scala/org/apache/spark/util/Utils.scala#L2030

```
$ docker run -it --rm eclipse-temurin:17-jre jmap
/__cacert_entrypoint.sh: line 30: exec: jmap: not found
```

```
$ docker run -it --rm eclipse-temurin:17 jmap | head -n2
Usage:
    jmap -clstats <pid>
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs and manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45762 from dongjoon-hyun/SPARK-47636.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../kubernetes/docker/src/main/dockerfiles/spark/Dockerfile     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
index 88304c87a79c3..22d8f1550128f 100644
--- a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
+++ b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-ARG java_image_tag=17-jre
+ARG java_image_tag=17
 
 FROM eclipse-temurin:${java_image_tag}
 

From e049a6c7f63e2c03525a01c4c2e3ce54cc9fb617 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 29 Mar 2024 17:38:10 +0900
Subject: [PATCH 635/986] [SPARK-47646][SQL] Make try_to_number return NULL for
 malformed input

### What changes were proposed in this pull request?

This PR proposes to add NULL check after parsing the number so the output can be safely null for `try_to_number` expression.

```scala
import org.apache.spark.sql.functions._
val df = spark.createDataset(spark.sparkContext.parallelize(Seq("11")))
df.select(try_to_number($"value", lit("$99.99"))).show()
```
```
java.lang.NullPointerException: Cannot invoke "org.apache.spark.sql.types.Decimal.toPlainString()" because "<local7>" is null
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.serializefromobject_doConsume_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:50)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:894)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:894)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:368)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:332)
```

### Why are the changes needed?

To fix the bug, and let `try_to_number` return `NULL` for malformed input as designed.

### Does this PR introduce _any_ user-facing change?

Yes, it fixes a bug. Previously, `try_to_number` failed with NPE.

### How was this patch tested?

Unittest was added.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45771 from HyukjinKwon/SPARK-47646.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d709e20066becf15adf5aa35e1bdd8eecf500b4b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/catalyst/expressions/numberFormatExpressions.scala   | 1 +
 .../scala/org/apache/spark/sql/StringFunctionsSuite.scala    | 5 +++++
 2 files changed, 6 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
index 2d4f0438db760..9dcca65efe5a8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
@@ -86,6 +86,7 @@ abstract class ToNumberBase(left: Expression, right: Expression, errorOnFail: Bo
         |${CodeGenerator.javaType(dataType)} ${ev.value} = ${CodeGenerator.defaultValue(dataType)};
         |if (!${ev.isNull}) {
         |  ${ev.value} = $builder.parse(${eval.value});
+        |  ${ev.isNull} = ${ev.isNull} || (${ev.value} == null);
         |}
       """.stripMargin)
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
index 88c9e15570e30..4709c2b5e192c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
@@ -1173,6 +1173,11 @@ class StringFunctionsSuite extends QueryTest with SharedSparkSession {
     checkAnswer(df.select(try_to_number(col("a"), lit("$99.99"))), Seq(Row(78.12)))
   }
 
+  test("SPARK-47646: try_to_number should return NULL for malformed input") {
+    val df = spark.createDataset(spark.sparkContext.parallelize(Seq("11")))
+    checkAnswer(df.select(try_to_number($"value", lit("$99.99"))), Seq(Row(null)))
+  }
+
   test("SPARK-44905: stateful lastRegex causes NullPointerException on eval for regexp_replace") {
     val df = sql("select regexp_replace('', '[a\\\\d]{0, 2}', 'x')")
     intercept[SparkRuntimeException](df.queryExecution.optimizedPlan)

From 2da520e88266530b2283ef3c9ac90bdc806b7556 Mon Sep 17 00:00:00 2001
From: yikaifei <yikaifei@apache.org>
Date: Mon, 1 Apr 2024 15:35:23 +0800
Subject: [PATCH 636/986] [SPARK-45593][BUILD][3.5] Correct relocation connect
 guava dependency

### What changes were proposed in this pull request?

This PR amins to correct relocation connect guava dependency and remove duplicate connect-common from SBT build jars.

This PR cherry-pick from https://github.com/apache/spark/pull/43436 and https://github.com/apache/spark/pull/44801 as a backport to 3.5 branch.

### Why are the changes needed?

Bugfix

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Follow the steps described at https://github.com/apache/spark/pull/43195#issue-1921234067 to test manually.

In addition, will continue to observe the GA situation in recent days.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45775 from Yikf/branch-3.5.

Authored-by: yikaifei <yikaifei@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 assembly/pom.xml                     |  6 +++++
 connector/connect/client/jvm/pom.xml | 22 +++++++++++++++----
 connector/connect/common/pom.xml     | 33 ++++++++++++++++++----------
 connector/connect/server/pom.xml     |  1 +
 project/SparkBuild.scala             |  6 ++++-
 5 files changed, 51 insertions(+), 17 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index d1ef9b24afdac..21330058f77dc 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -159,6 +159,12 @@
           <groupId>org.apache.spark</groupId>
           <artifactId>spark-connect_${scala.binary.version}</artifactId>
           <version>${project.version}</version>
+          <exclusions>
+            <exclusion>
+              <groupId>org.apache.spark</groupId>
+              <artifactId>spark-connect-common_${scala.binary.version}</artifactId>
+            </exclusion>
+          </exclusions>
         </dependency>
         <dependency>
           <groupId>org.apache.spark</groupId>
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 53ff0b0147e01..6febc5ee6bd64 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -51,9 +51,14 @@
       <version>${project.version}</version>
     </dependency>
     <!--
-      We need to define guava and protobuf here because we need to change the scope of both from
+      We need to define protobuf here because we need to change the scope of both from
       provided to compile. If we don't do this we can't shade these libraries.
     -->
+    <dependency>
+      <groupId>com.google.protobuf</groupId>
+      <artifactId>protobuf-java</artifactId>
+      <scope>compile</scope>
+    </dependency>
     <dependency>
       <groupId>com.google.guava</groupId>
       <artifactId>guava</artifactId>
@@ -61,8 +66,9 @@
       <scope>compile</scope>
     </dependency>
     <dependency>
-      <groupId>com.google.protobuf</groupId>
-      <artifactId>protobuf-java</artifactId>
+      <groupId>com.google.guava</groupId>
+      <artifactId>failureaccess</artifactId>
+      <version>${guava.failureaccess.version}</version>
       <scope>compile</scope>
     </dependency>
     <dependency>
@@ -108,6 +114,7 @@
           <promoteTransitiveDependencies>true</promoteTransitiveDependencies>
           <artifactSet>
             <includes>
+              <include>com.google.guava:*</include>
               <include>com.google.android:*</include>
               <include>com.google.api.grpc:*</include>
               <include>com.google.code.findbugs:*</include>
@@ -127,6 +134,13 @@
             </includes>
           </artifactSet>
           <relocations>
+            <relocation>
+              <pattern>com.google.common</pattern>
+              <shadedPattern>${spark.shade.packageName}.connect.guava</shadedPattern>
+              <includes>
+                <include>com.google.common.**</include>
+              </includes>
+            </relocation>
             <relocation>
               <pattern>io.grpc</pattern>
               <shadedPattern>${spark.shade.packageName}.io.grpc</shadedPattern>
@@ -138,7 +152,7 @@
               <pattern>com.google</pattern>
               <shadedPattern>${spark.shade.packageName}.com.google</shadedPattern>
               <excludes>
-                <!-- Guava is relocated to ${spark.shade.packageName}.guava (see the parent pom.xml) -->
+                <!-- Guava is relocated to ${spark.shade.packageName}.connect.guava -->
                 <exclude>com.google.common.**</exclude>
               </excludes>
             </relocation>
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 7ce0aa6615d3c..3c07b63c50a53 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -47,18 +47,6 @@
             <groupId>com.google.protobuf</groupId>
             <artifactId>protobuf-java</artifactId>
         </dependency>
-        <dependency>
-            <groupId>com.google.guava</groupId>
-            <artifactId>guava</artifactId>
-            <version>${connect.guava.version}</version>
-            <scope>compile</scope>
-        </dependency>
-        <dependency>
-            <groupId>com.google.guava</groupId>
-            <artifactId>failureaccess</artifactId>
-            <version>${guava.failureaccess.version}</version>
-            <scope>compile</scope>
-        </dependency>
         <dependency>
             <groupId>io.grpc</groupId>
             <artifactId>grpc-netty</artifactId>
@@ -152,6 +140,27 @@
                     </execution>
                 </executions>
             </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-shade-plugin</artifactId>
+                <configuration>
+                    <shadedArtifactAttached>false</shadedArtifactAttached>
+                    <artifactSet>
+                        <includes>
+                            <include>org.spark-project.spark:unused</include>
+                            <include>org.apache.tomcat:annotations-api</include>
+                        </includes>
+                    </artifactSet>
+                </configuration>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>shade</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
         </plugins>
     </build>
     <profiles>
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 724bad616f82c..804ff2ff15a15 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -168,6 +168,7 @@
       <groupId>com.google.guava</groupId>
       <artifactId>failureaccess</artifactId>
       <version>${guava.failureaccess.version}</version>
+      <scope>compile</scope>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index dfadfea172d8c..40c90a3461b03 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1535,7 +1535,11 @@ object CopyDependencies {
           if (destJar.isFile()) {
             destJar.delete()
           }
-          if (jar.getName.contains("spark-connect") &&
+
+          if (jar.getName.contains("spark-connect-common") &&
+            !SbtPomKeys.profiles.value.contains("noshade-connect")) {
+            // Don't copy the spark connect common JAR as it is shaded in the spark connect.
+          } else if (jar.getName.contains("spark-connect") &&
             !SbtPomKeys.profiles.value.contains("noshade-connect")) {
             Files.copy(fid.toPath, destJar.toPath)
           } else if (jar.getName.contains("connect-client-jvm") &&

From fed3eb57289a949e5abcecdc64d32b8004d9463d Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 1 Apr 2024 16:49:39 -0700
Subject: [PATCH 637/986] [SPARK-47676][BUILD] Clean up the removed
 `VersionsSuite` references

### What changes were proposed in this pull request?

This PR aims to clean up the removed `VersionsSuite` reference.

### Why are the changes needed?

At Apache Spark 3.3.0, `VersionsSuite` is removed via SPARK-38036 .
- https://github.com/apache/spark/pull/35335

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45800 from dongjoon-hyun/SPARK-47676.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 128f74b055d3f290003f42259ffa23861eaa69e1)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 project/SparkBuild.scala                                         | 1 -
 .../main/scala/org/apache/spark/sql/hive/client/package.scala    | 1 -
 2 files changed, 2 deletions(-)

diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 40c90a3461b03..25f04f7bff318 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -572,7 +572,6 @@ object SparkParallelTestGrouping {
     "org.apache.spark.sql.catalyst.expressions.MathExpressionsSuite",
     "org.apache.spark.sql.hive.HiveExternalCatalogSuite",
     "org.apache.spark.sql.hive.StatisticsSuite",
-    "org.apache.spark.sql.hive.client.VersionsSuite",
     "org.apache.spark.sql.hive.client.HiveClientVersions",
     "org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite",
     "org.apache.spark.ml.classification.LogisticRegressionSuite",
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/package.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/package.scala
index 9304074e866ca..eb69f23d2876a 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/package.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/package.scala
@@ -101,7 +101,6 @@ package object client {
         "org.pentaho:pentaho-aggdesigner-algorithm"))
 
     // Since HIVE-23980, calcite-core included in Hive package jar.
-    // For spark, only VersionsSuite currently creates a hive materialized view for testing.
     case object v2_3 extends HiveVersion("2.3.9",
       exclusions = Seq("org.apache.calcite:calcite-core",
         "org.apache.calcite:calcite-druid",

From 2dda441bec018b1386248b54ccfef46defa5a07a Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 2 Apr 2024 18:16:35 +0800
Subject: [PATCH 638/986] [SPARK-47666][SQL][3.5] Fix NPE when reading mysql
 bit array as LongType

### What changes were proposed in this pull request?

This PR fixes NPE when reading mysql bit array as LongType

### Why are the changes needed?

bugfix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new tests
### Was this patch authored or co-authored using generative AI tooling?

no

Closes #45792 from yaooqinn/PR_TOOL_PICK_PR_45790_BRANCH-3.5.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/jdbc/MySQLIntegrationSuite.scala | 10 +++++++++-
 .../execution/datasources/jdbc/JdbcUtils.scala | 18 ++++++++++--------
 2 files changed, 19 insertions(+), 9 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
index 68d88fbc552ab..bc7302163d9a1 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
@@ -62,6 +62,9 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
       + "17, 77777, 123456789, 123456789012345, 123456789012345.123456789012345, "
       + "42.75, 1.0000000000000002, -128, 255)").executeUpdate()
 
+    conn.prepareStatement("INSERT INTO numbers VALUES (null, null, "
+      + "null, null, null, null, null, null, null, null, null)").executeUpdate()
+
     conn.prepareStatement("CREATE TABLE dates (d DATE, t TIME, dt DATETIME, ts TIMESTAMP, "
       + "yr YEAR)").executeUpdate()
     conn.prepareStatement("INSERT INTO dates VALUES ('1991-11-09', '13:31:24', "
@@ -101,7 +104,7 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
   test("Numeric types") {
     val df = sqlContext.read.jdbc(jdbcUrl, "numbers", new Properties)
     val rows = df.collect()
-    assert(rows.length == 1)
+    assert(rows.length == 2)
     val types = rows(0).toSeq.map(x => x.getClass.toString)
     assert(types.length == 11)
     assert(types(0).equals("class java.lang.Boolean"))
@@ -212,6 +215,11 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
        """.stripMargin.replaceAll("\n", " "))
     assert(sql("select x, y from queryOption").collect.toSet == expectedResult)
   }
+
+  test("SPARK-47666: Check nulls for result set getters") {
+    val nulls = spark.read.jdbc(jdbcUrl, "numbers", new Properties).tail(1).head
+    assert(nulls === Row(null, null, null, null, null, null, null, null, null, null, null))
+  }
 }
 
 /**
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index 3521a50cd2dd9..7b5c4cfc9b6e2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -430,14 +430,16 @@ object JdbcUtils extends Logging with SQLConfHelper {
 
     case LongType if metadata.contains("binarylong") =>
       (rs: ResultSet, row: InternalRow, pos: Int) =>
-        val bytes = rs.getBytes(pos + 1)
-        var ans = 0L
-        var j = 0
-        while (j < bytes.length) {
-          ans = 256 * ans + (255 & bytes(j))
-          j = j + 1
-        }
-        row.setLong(pos, ans)
+        val l = nullSafeConvert[Array[Byte]](rs.getBytes(pos + 1), bytes => {
+          var ans = 0L
+          var j = 0
+          while (j < bytes.length) {
+            ans = 256 * ans + (255 & bytes(j))
+            j = j + 1
+          }
+          ans
+        })
+        row.update(pos, l)
 
     case LongType =>
       (rs: ResultSet, row: InternalRow, pos: Int) =>

From 465a85375b1e3b81b96eb365d4a68943478265c9 Mon Sep 17 00:00:00 2001
From: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Date: Fri, 5 Apr 2024 10:51:24 +0900
Subject: [PATCH 639/986] [SPARK-47568][SS][3.5] Fix race condition between
 maintenance thread and load/commit for snapshot files

Backports https://github.com/apache/spark/pull/45724 to 3.5

### What changes were proposed in this pull request?

This PR fixes a race condition between the maintenance thread and task thread when change-log checkpointing is enabled, and ensure all snapshots are valid.

1. The maintenance thread currently relies on class variable lastSnapshot to find the latest checkpoint and uploads it to DFS. This checkpoint can be modified at commit time by Task thread if a new snapshot is created.
2. The task thread was not resetting the lastSnapshot at load time, which can result in newer snapshots (if a old version is loaded) being considered valid and uploaded to DFS. This results in VersionIdMismatch errors.

### Why are the changes needed?

These are logical bugs which can cause `VersionIdMismatch` errors causing user to discard the snapshot and restart the query.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added unit test cases.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45881 from sahnib/rocks-db-fix-3.5.

Authored-by: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/streaming/state/RocksDB.scala   | 65 ++++++++++++-------
 .../streaming/state/RocksDBFileManager.scala  |  3 +-
 .../streaming/state/RocksDBSuite.scala        | 37 +++++++++++
 3 files changed, 81 insertions(+), 24 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
index 0c9738a6b0817..301d978c90386 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution.streaming.state
 
 import java.io.File
 import java.util.Locale
+import java.util.concurrent.TimeUnit
 import javax.annotation.concurrent.GuardedBy
 
 import scala.collection.{mutable, Map}
@@ -152,19 +153,23 @@ class RocksDB(
         loadedVersion = latestSnapshotVersion
 
         // reset last snapshot version
-        lastSnapshotVersion = 0L
+        if (lastSnapshotVersion > latestSnapshotVersion) {
+          // discard any newer snapshots
+          lastSnapshotVersion = 0L
+          latestSnapshot = None
+        }
         openDB()
 
         numKeysOnWritingVersion = if (!conf.trackTotalNumberOfRows) {
-          // we don't track the total number of rows - discard the number being track
-          -1L
-        } else if (metadata.numKeys < 0) {
-          // we track the total number of rows, but the snapshot doesn't have tracking number
-          // need to count keys now
-          countKeys()
-        } else {
-          metadata.numKeys
-        }
+            // we don't track the total number of rows - discard the number being track
+            -1L
+          } else if (metadata.numKeys < 0) {
+            // we track the total number of rows, but the snapshot doesn't have tracking number
+            // need to count keys now
+            countKeys()
+          } else {
+            metadata.numKeys
+          }
         if (loadedVersion != version) replayChangelog(version)
         // After changelog replay the numKeysOnWritingVersion will be updated to
         // the correct number of keys in the loaded version.
@@ -359,16 +364,14 @@ class RocksDB(
           // background operations.
           val cp = Checkpoint.create(db)
           cp.createCheckpoint(checkpointDir.toString)
-          synchronized {
-            // if changelog checkpointing is disabled, the snapshot is uploaded synchronously
-            // inside the uploadSnapshot() called below.
-            // If changelog checkpointing is enabled, snapshot will be uploaded asynchronously
-            // during state store maintenance.
-            latestSnapshot.foreach(_.close())
-            latestSnapshot = Some(
-              RocksDBSnapshot(checkpointDir, newVersion, numKeysOnWritingVersion))
-            lastSnapshotVersion = newVersion
-          }
+          // if changelog checkpointing is disabled, the snapshot is uploaded synchronously
+          // inside the uploadSnapshot() called below.
+          // If changelog checkpointing is enabled, snapshot will be uploaded asynchronously
+          // during state store maintenance.
+          latestSnapshot.foreach(_.close())
+          latestSnapshot = Some(
+            RocksDBSnapshot(checkpointDir, newVersion, numKeysOnWritingVersion))
+          lastSnapshotVersion = newVersion
         }
       }
 
@@ -454,7 +457,20 @@ class RocksDB(
 
   def doMaintenance(): Unit = {
     if (enableChangelogCheckpointing) {
-      uploadSnapshot()
+      // There is race to update latestSnapshot between load(), commit()
+      // and uploadSnapshot().
+      // The load method will reset latestSnapshot to discard any snapshots taken
+      // from newer versions (when a old version is reloaded).
+      // commit() method deletes the existing snapshot while creating a new snapshot.
+      // In order to ensure that the snapshot being uploaded would not be modified
+      // concurrently, we need to synchronize the snapshot access between task thread
+      // and maintenance thread.
+      acquire()
+      try {
+        uploadSnapshot()
+      } finally {
+        release()
+      }
     }
     val cleanupTime = timeTakenMs {
       fileManager.deleteOldVersions(conf.minVersionsToRetain)
@@ -549,8 +565,11 @@ class RocksDB(
 
   private def acquire(): Unit = acquireLock.synchronized {
     val newAcquiredThreadInfo = AcquiredThreadInfo()
-    val waitStartTime = System.currentTimeMillis
-    def timeWaitedMs = System.currentTimeMillis - waitStartTime
+    val waitStartTime = System.nanoTime()
+    def timeWaitedMs = {
+      val elapsedNanos = System.nanoTime() - waitStartTime
+      TimeUnit.MILLISECONDS.convert(elapsedNanos, TimeUnit.NANOSECONDS)
+    }
     def isAcquiredByDifferentThread = acquiredThreadInfo != null &&
       acquiredThreadInfo.threadRef.get.isDefined &&
       newAcquiredThreadInfo.threadRef.get.get.getId != acquiredThreadInfo.threadRef.get.get.getId
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
index 3089de7127e77..c527a6a03ae97 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
@@ -532,6 +532,7 @@ class RocksDBFileManager(
     // Delete unnecessary local immutable files
     localImmutableFiles
       .foreach { existingFile =>
+        val existingFileSize = existingFile.length()
         val requiredFile = requiredFileNameToFileDetails.get(existingFile.getName)
         val prevDfsFile = localFilesToDfsFiles.asScala.get(existingFile.getName)
         val isSameFile = if (requiredFile.isDefined && prevDfsFile.isDefined) {
@@ -544,7 +545,7 @@ class RocksDBFileManager(
         if (!isSameFile) {
           existingFile.delete()
           localFilesToDfsFiles.remove(existingFile.getName)
-          logInfo(s"Deleted local file $existingFile with size ${existingFile.length()} mapped" +
+          logInfo(s"Deleted local file $existingFile with size $existingFileSize mapped" +
             s" to previous dfsFile ${prevDfsFile.getOrElse("null")}")
         } else {
           logInfo(s"reusing $prevDfsFile present at $existingFile for $requiredFile")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
index 16bfe2359f437..89b4925db707b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
@@ -304,6 +304,14 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
         db.load(version, readOnly = true)
         assert(db.iterator().map(toStr).toSet === Set((version.toString, version.toString)))
       }
+
+      // recommit 60 to ensure that acquireLock is released for maintenance
+      for (version <- 60 to 60) {
+        db.load(version - 1)
+        db.put(version.toString, version.toString)
+        db.remove((version - 1).toString)
+        db.commit()
+      }
       // Check that snapshots and changelogs get purged correctly.
       db.doMaintenance()
       assert(snapshotVersionsPresent(remoteDir) === Seq(30, 60))
@@ -1281,6 +1289,35 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  testWithChangelogCheckpointingEnabled("time travel 4 -" +
+    " validate successful RocksDB load") {
+    val remoteDir = Utils.createTempDir().toString
+    val conf = dbConf.copy(minDeltasForSnapshot = 2, compactOnCommit = false)
+    new File(remoteDir).delete() // to make sure that the directory gets created
+    withDB(remoteDir, conf = conf) { db =>
+      for (version <- 0 to 1) {
+        db.load(version)
+        db.put(version.toString, version.toString)
+        db.commit()
+      }
+
+      // load previous version, and recreate the snapshot
+      db.load(1)
+      db.put("3", "3")
+
+      // do maintenance - upload any latest snapshots so far
+      // would fail to acquire lock and no snapshots would be uploaded
+      db.doMaintenance()
+      db.commit()
+      // upload newly created snapshot 2.zip
+      db.doMaintenance()
+    }
+
+    // reload version 2 - should succeed
+    withDB(remoteDir, version = 2, conf = conf) { db =>
+    }
+  }
+
   test("validate Rocks DB SST files do not have a VersionIdMismatch" +
     " when metadata file is not overwritten - scenario 1") {
     val fmClass = "org.apache.spark.sql.execution.streaming.state." +

From 3cb6a44a8d9112fb53a28ccaedf8bbc648cdf92a Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Fri, 5 Apr 2024 11:14:42 +0900
Subject: [PATCH 640/986] [SPARK-47734][PYTHON][TESTS] Fix flaky
 DataFrame.writeStream doctest by stopping streaming query

### What changes were proposed in this pull request?

This PR deflakes the `pyspark.sql.dataframe.DataFrame.writeStream` doctest.

PR https://github.com/apache/spark/pull/45298 aimed to fix that test but misdiagnosed the root issue. The problem is not that concurrent tests were colliding on a temporary directory. Rather, the issue is specific to the `DataFrame.writeStream` test's logic: that test is starting a streaming query that writes files to the temporary directory, the exits the temp directory context manager without first stopping the streaming query. That creates a race condition where the context manager might be deleting the directory while the streaming query is writing new files into it, leading to the following type of error during cleanup:

```
File "/__w/spark/spark/python/pyspark/sql/dataframe.py", line ?, in pyspark.sql.dataframe.DataFrame.writeStream
Failed example:
    with tempfile.TemporaryDirectory() as d:
        # Create a table with Rate source.
        df.writeStream.toTable(
            "my_table", checkpointLocation=d)
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.11/doctest.py", line 1353, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.dataframe.DataFrame.writeStream[3]>", line 1, in <module>
        with tempfile.TemporaryDirectory() as d:
      File "/usr/lib/python3.11/tempfile.py", line 1043, in __exit__
        self.cleanup()
      File "/usr/lib/python3.11/tempfile.py", line 1047, in cleanup
        self._rmtree(self.name, ignore_errors=self._ignore_cleanup_errors)
      File "/usr/lib/python3.11/tempfile.py", line 1029, in _rmtree
        _rmtree(name, onerror=onerror)
      File "/usr/lib/python3.11/shutil.py", line 738, in rmtree
        onerror(os.rmdir, path, sys.exc_info())
      File "/usr/lib/python3.11/shutil.py", line 736, in rmtree
        os.rmdir(path, dir_fd=dir_fd)
    OSError: [Errno 39] Directory not empty: '/__w/spark/spark/python/target/4f062b09-213f-4ac2-a10a-2d704990141b/tmp29irqweq'
```

In this PR, I update the doctest to properly stop the streaming query.

### Why are the changes needed?

Fix flaky test.

### Does this PR introduce _any_ user-facing change?

No, test-only. Small user-facing doc change, but one that is consistent with other doctest examples.

### How was this patch tested?

Manually ran updated test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45885 from JoshRosen/fix-flaky-writestream-doctest.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 0107435cb39d68eccf8a6900c3c781665deca38b)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/dataframe.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 7c382ab1c5a54..97f60967da70e 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -529,6 +529,7 @@ def writeStream(self) -> DataStreamWriter:
 
         Examples
         --------
+        >>> import time
         >>> import tempfile
         >>> df = spark.readStream.format("rate").load()
         >>> type(df.writeStream)
@@ -536,9 +537,10 @@ def writeStream(self) -> DataStreamWriter:
 
         >>> with tempfile.TemporaryDirectory() as d:
         ...     # Create a table with Rate source.
-        ...     df.writeStream.toTable(
+        ...     query = df.writeStream.toTable(
         ...         "my_table", checkpointLocation=d)
-        <...streaming.query.StreamingQuery object at 0x...>
+        ...     time.sleep(3)
+        ...     query.stop()
         """
         return DataStreamWriter(self)
 

From dec1e74c24fc07b171c0878815c9e97820889f40 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 18 Dec 2023 12:19:20 -0800
Subject: [PATCH 641/986] [SPARK-46411][BUILD] Change to use
 `bcprov/bcpkix-jdk18on` for UT

This PR migrates the test dependency `bcprov/bcpkix` from `jdk15on` to `jdk18on`, and upgrades the version from 1.70 to 1.77, the `jdk18on` jars are compiled to work with anything from Java 1.8 up.

The full release notes as follows:
- https://www.bouncycastle.org/releasenotes.html#r1rv77

No, just for test.

Pass GitHub Actions.

No

Closes #44359 from LuciferYang/bouncycastle-177.

Lead-authored-by: yangjie01 <yangjie01@baidu.com>
Co-authored-by: YangJie <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 common/network-common/pom.xml  | 13 +++++++++++++
 pom.xml                        |  6 +++---
 resource-managers/yarn/pom.xml |  4 ++--
 3 files changed, 18 insertions(+), 5 deletions(-)

diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 27a53b0f9f3bd..3916cf16f1de5 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -147,6 +147,19 @@
       <artifactId>log4j-slf4j2-impl</artifactId>
       <scope>test</scope>
     </dependency>
+<<<<<<< HEAD
+=======
+    <dependency>
+      <groupId>org.bouncycastle</groupId>
+      <artifactId>bcprov-jdk18on</artifactId>
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>org.bouncycastle</groupId>
+      <artifactId>bcpkix-jdk18on</artifactId>
+      <scope>test</scope>
+    </dependency>
+>>>>>>> 9a75a1d69aa ([SPARK-46411][BUILD] Change to use `bcprov/bcpkix-jdk18on` for UT)
 
     <dependency>
       <groupId>org.apache.spark</groupId>
diff --git a/pom.xml b/pom.xml
index 269a42d41f172..b579ed31612e8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -218,7 +218,7 @@
     <maven-antrun.version>3.1.0</maven-antrun.version>
     <commons-crypto.version>1.1.0</commons-crypto.version>
     <commons-cli.version>1.5.0</commons-cli.version>
-    <bouncycastle.version>1.70</bouncycastle.version>
+    <bouncycastle.version>1.77</bouncycastle.version>
     <tink.version>1.9.0</tink.version>
     <netty.version>4.1.96.Final</netty.version>
     <!--
@@ -1434,13 +1434,13 @@
       </dependency>
       <dependency>
         <groupId>org.bouncycastle</groupId>
-        <artifactId>bcprov-jdk15on</artifactId>
+        <artifactId>bcprov-jdk18on</artifactId>
         <version>${bouncycastle.version}</version>
         <scope>test</scope>
       </dependency>
       <dependency>
         <groupId>org.bouncycastle</groupId>
-        <artifactId>bcpkix-jdk15on</artifactId>
+        <artifactId>bcpkix-jdk18on</artifactId>
         <version>${bouncycastle.version}</version>
         <scope>test</scope>
       </dependency>
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index b432973d4386f..05cea60346667 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -54,12 +54,12 @@
         <!-- Used by MiniYARNCluster -->
         <dependency>
           <groupId>org.bouncycastle</groupId>
-          <artifactId>bcprov-jdk15on</artifactId>
+          <artifactId>bcprov-jdk18on</artifactId>
           <scope>test</scope>
         </dependency>
         <dependency>
           <groupId>org.bouncycastle</groupId>
-          <artifactId>bcpkix-jdk15on</artifactId>
+          <artifactId>bcpkix-jdk18on</artifactId>
           <scope>test</scope>
         </dependency>
       </dependencies>

From d2cee4d81b2f75de008817409ca716364356c45c Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 5 Apr 2024 10:46:41 -0700
Subject: [PATCH 642/986] [SPARK-46411][BUILD][3.5][FOLLOWUP] Fix pom.xml file
 in common/network-common module

### What changes were proposed in this pull request?

This PR aims to fix `common/network-common/pom.xml`.

### Why are the changes needed?

To fix the cherry-pick mistake.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45897 from dongjoon-hyun/SPARK-46411.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 common/network-common/pom.xml | 13 -------------
 1 file changed, 13 deletions(-)

diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 3916cf16f1de5..27a53b0f9f3bd 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -147,19 +147,6 @@
       <artifactId>log4j-slf4j2-impl</artifactId>
       <scope>test</scope>
     </dependency>
-<<<<<<< HEAD
-=======
-    <dependency>
-      <groupId>org.bouncycastle</groupId>
-      <artifactId>bcprov-jdk18on</artifactId>
-      <scope>test</scope>
-    </dependency>
-    <dependency>
-      <groupId>org.bouncycastle</groupId>
-      <artifactId>bcpkix-jdk18on</artifactId>
-      <scope>test</scope>
-    </dependency>
->>>>>>> 9a75a1d69aa ([SPARK-46411][BUILD] Change to use `bcprov/bcpkix-jdk18on` for UT)
 
     <dependency>
       <groupId>org.apache.spark</groupId>

From 44cc67626969f6ce4e4616d7bfd1dba5a3a53473 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 5 Apr 2024 11:56:34 -0700
Subject: [PATCH 643/986] [SPARK-47111][SQL][TESTS][3.5] Upgrade `PostgreSQL`
 JDBC driver to 42.7.2 and docker image to 16.2

### What changes were proposed in this pull request?

This PR aims to upgrade `PostgreSQL` JDBC driver and docker images.
- JDBC Driver: `org.postgresql:postgresql` from 42.7.0 to 42.7.2
- Docker Image: `postgres` from `15.1-alpine` to `16.2-alpine`

### Why are the changes needed?

To use the latest PostgreSQL combination in the following integration tests.

- PostgresIntegrationSuite
- PostgresKrbIntegrationSuite
- v2/PostgresIntegrationSuite
- v2/PostgresNamespaceSuite

### Does this PR introduce _any_ user-facing change?

No. This is a pure test-environment update.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45899 from dongjoon-hyun/SPARK-47111.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/jdbc/PostgresIntegrationSuite.scala    | 6 +++---
 .../apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala | 6 +++---
 .../apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala | 6 +++---
 .../apache/spark/sql/jdbc/v2/PostgresNamespaceSuite.scala   | 6 +++---
 pom.xml                                                     | 2 +-
 5 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
index e910402e05e77..23fbf39db3be0 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
@@ -30,9 +30,9 @@ import org.apache.spark.sql.types._
 import org.apache.spark.tags.DockerTest
 
 /**
- * To run this test suite for a specific version (e.g., postgres:15.1):
+ * To run this test suite for a specific version (e.g., postgres:16.2):
  * {{{
- *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:15.1
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:16.2
  *     ./build/sbt -Pdocker-integration-tests
  *     "testOnly org.apache.spark.sql.jdbc.PostgresIntegrationSuite"
  * }}}
@@ -40,7 +40,7 @@ import org.apache.spark.tags.DockerTest
 @DockerTest
 class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
   override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:15.1-alpine")
+    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:16.2-alpine")
     override val env = Map(
       "POSTGRES_PASSWORD" -> "rootpass"
     )
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
index 4debe24754de3..667d8c7786187 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
@@ -25,9 +25,9 @@ import org.apache.spark.sql.execution.datasources.jdbc.connection.SecureConnecti
 import org.apache.spark.tags.DockerTest
 
 /**
- * To run this test suite for a specific version (e.g., postgres:15.1):
+ * To run this test suite for a specific version (e.g., postgres:16.2):
  * {{{
- *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:15.1
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:16.2
  *     ./build/sbt -Pdocker-integration-tests "testOnly *PostgresKrbIntegrationSuite"
  * }}}
  */
@@ -37,7 +37,7 @@ class PostgresKrbIntegrationSuite extends DockerKrbJDBCIntegrationSuite {
   override protected val keytabFileName = "postgres.keytab"
 
   override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:15.1")
+    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:16.2")
     override val env = Map(
       "POSTGRES_PASSWORD" -> "rootpass"
     )
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index d2a18ff96b44b..1f09c2fd3fc59 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -28,9 +28,9 @@ import org.apache.spark.sql.types._
 import org.apache.spark.tags.DockerTest
 
 /**
- * To run this test suite for a specific version (e.g., postgres:15.1):
+ * To run this test suite for a specific version (e.g., postgres:16.2)
  * {{{
- *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:15.1
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:16.2
  *     ./build/sbt -Pdocker-integration-tests "testOnly *v2.PostgresIntegrationSuite"
  * }}}
  */
@@ -38,7 +38,7 @@ import org.apache.spark.tags.DockerTest
 class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
   override val catalogName: String = "postgresql"
   override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:15.1-alpine")
+    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:16.2-alpine")
     override val env = Map(
       "POSTGRES_PASSWORD" -> "rootpass"
     )
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresNamespaceSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresNamespaceSuite.scala
index cf7266e67e325..b725fc8967514 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresNamespaceSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresNamespaceSuite.scala
@@ -26,16 +26,16 @@ import org.apache.spark.sql.util.CaseInsensitiveStringMap
 import org.apache.spark.tags.DockerTest
 
 /**
- * To run this test suite for a specific version (e.g., postgres:15.1):
+ * To run this test suite for a specific version (e.g., postgres:16.2):
  * {{{
- *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:15.1
+ *   ENABLE_DOCKER_INTEGRATION_TESTS=1 POSTGRES_DOCKER_IMAGE_NAME=postgres:16.2
  *     ./build/sbt -Pdocker-integration-tests "testOnly *v2.PostgresNamespaceSuite"
  * }}}
  */
 @DockerTest
 class PostgresNamespaceSuite extends DockerJDBCIntegrationSuite with V2JDBCNamespaceTest {
   override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:15.1-alpine")
+    override val imageName = sys.env.getOrElse("POSTGRES_DOCKER_IMAGE_NAME", "postgres:16.2-alpine")
     override val env = Map(
       "POSTGRES_PASSWORD" -> "rootpass"
     )
diff --git a/pom.xml b/pom.xml
index b579ed31612e8..3dcaa2dd8ac73 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1233,7 +1233,7 @@
       <dependency>
         <groupId>org.postgresql</groupId>
         <artifactId>postgresql</artifactId>
-        <version>42.6.0</version>
+        <version>42.7.2</version>
         <scope>test</scope>
       </dependency>
       <dependency>

From b2bfbc79f982ad2d2e694c43c79ab98256c507e0 Mon Sep 17 00:00:00 2001
From: panbingkun <pbk1982@gmail.com>
Date: Fri, 5 Apr 2024 14:51:18 -0700
Subject: [PATCH 644/986] [SPARK-45445][BUILD][3.5] Upgrade snappy to 1.1.10.5

### What changes were proposed in this pull request?

This is a backport of #43254.

The pr aims to upgrade snappy to 1.1.10.5.

### Why are the changes needed?
- Although the `1.1.10.4` version was upgraded approximately 2-3 weeks ago, the new version includes some bug fixes, eg:
<img width="868" alt="image" src="https://github.com/apache/spark/assets/15246973/6c7f05f7-382f-4e82-bb68-22fc50895b94">
- Full release notes: https://github.com/xerial/snappy-java/releases

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #45901 from dongjoon-hyun/SPARK-45445.

Authored-by: panbingkun <pbk1982@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 1cd7d5a8f2d7b..a070dcccd0098 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -238,7 +238,7 @@ shims/0.9.45//shims-0.9.45.jar
 slf4j-api/2.0.7//slf4j-api-2.0.7.jar
 snakeyaml-engine/2.6//snakeyaml-engine-2.6.jar
 snakeyaml/2.0//snakeyaml-2.0.jar
-snappy-java/1.1.10.3//snappy-java-1.1.10.3.jar
+snappy-java/1.1.10.5//snappy-java-1.1.10.5.jar
 spire-macros_2.12/0.17.0//spire-macros_2.12-0.17.0.jar
 spire-platform_2.12/0.17.0//spire-platform_2.12-0.17.0.jar
 spire-util_2.12/0.17.0//spire-util_2.12-0.17.0.jar
diff --git a/pom.xml b/pom.xml
index 3dcaa2dd8ac73..965f88ee14d50 100644
--- a/pom.xml
+++ b/pom.xml
@@ -186,7 +186,7 @@
     <codehaus.jackson.version>1.9.13</codehaus.jackson.version>
     <fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
     <fasterxml.jackson.databind.version>2.15.2</fasterxml.jackson.databind.version>
-    <snappy.version>1.1.10.3</snappy.version>
+    <snappy.version>1.1.10.5</snappy.version>
     <netlib.ludovic.dev.version>3.0.3</netlib.ludovic.dev.version>
     <commons-codec.version>1.16.0</commons-codec.version>
     <commons-compress.version>1.23.0</commons-compress.version>

From 850ec0b4adcb219d048bed003a7cb42cfc731f33 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Mon, 8 Apr 2024 10:19:26 +0900
Subject: [PATCH 645/986] [SPARK-47299][PYTHON][DOCS] Use the same
 `versions.json` in the dropdown of different versions of PySpark documents

### What changes were proposed in this pull request?
The pr aims to use the same `versions.json` in the dropdown of `different versions` of PySpark documents.

### Why are the changes needed?
As discussed in the email group, using this approach can avoid `maintenance difficulties` and `inconsistencies` that may arise when `multi active release version lines` are released in the future.
<img width="798" alt="image" src="https://github.com/apache/spark/assets/15246973/8a08a4fe-e1fb-4334-a3f9-c6dffb01cbd6">

### Does this PR introduce _any_ user-facing change?
Yes, only for pyspark docs.

### How was this patch tested?
- Manually test.
- Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #45400 from panbingkun/SPARK-47299.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit b299b2bc06a91db630ab39b9c35663342931bb56)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 python/docs/source/_static/versions.json | 22 ----------------------
 python/docs/source/conf.py               |  6 +++++-
 2 files changed, 5 insertions(+), 23 deletions(-)
 delete mode 100644 python/docs/source/_static/versions.json

diff --git a/python/docs/source/_static/versions.json b/python/docs/source/_static/versions.json
deleted file mode 100644
index 3d0bd14818064..0000000000000
--- a/python/docs/source/_static/versions.json
+++ /dev/null
@@ -1,22 +0,0 @@
-[
-    {
-        "name": "3.4.1",
-        "version": "3.4.1"
-    },
-    {
-        "name": "3.4.0",
-        "version": "3.4.0"
-    },
-    {
-        "name": "3.3.2",
-        "version": "3.3.2"
-    },
-    {
-        "name": "3.3.1",
-        "version": "3.3.1"
-    },
-    {
-        "name": "3.3.0",
-        "version": "3.3.0"
-    }
-]
diff --git a/python/docs/source/conf.py b/python/docs/source/conf.py
index 08a25c5dd0712..1b5cf34744651 100644
--- a/python/docs/source/conf.py
+++ b/python/docs/source/conf.py
@@ -182,7 +182,11 @@
 html_theme = 'pydata_sphinx_theme'
 
 html_context = {
-    "switcher_json_url": "_static/versions.json",
+    # When releasing a new Spark version, please update the file
+    # "site/static/versions.json" under the code repository "spark-website"
+    # (item should be added in order), and also set the local environment
+    # variable "RELEASE_VERSION".
+    "switcher_json_url": "https://spark.apache.org/static/versions.json",
     "switcher_template_url": "https://spark.apache.org/docs/{version}/api/python/index.html",
 }
 

From 932f9c7df38dc766c2b7b05df764f24dc9b55acc Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 8 Apr 2024 17:06:33 +0900
Subject: [PATCH 646/986] [SPARK-47762][PYTHON][CONNECT] Add
 pyspark.sql.connect.protobuf into setup.py

This PR is a followup of https://github.com/apache/spark/pull/42563 (but using new JIRA as it's already released), which adds `pyspark.sql.connect.protobuf` into `setup.py`.

So PyPI packaged PySpark can support protobuf function with Spark Connect on.

Yes. The new feature is now available with Spark Connect on if users install Spark Connect by `pip`.

Being tested in https://github.com/apache/spark/pull/45870

No.

Closes #45924 from HyukjinKwon/SPARK-47762.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f94d95d75886b1af3434cff0c50c99ea1e196092)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/setup.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/python/setup.py b/python/setup.py
index b8e4c9a40e046..2110c2839ca70 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -249,6 +249,7 @@ def run(self):
             "pyspark.sql.connect.avro",
             "pyspark.sql.connect.client",
             "pyspark.sql.connect.proto",
+            "pyspark.sql.connect.protobuf",
             "pyspark.sql.connect.streaming",
             "pyspark.sql.pandas",
             "pyspark.sql.protobuf",

From f0752f2701b1b8d5fbc38912edd9cd9325693bef Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 9 Apr 2024 11:14:49 +0800
Subject: [PATCH 647/986] [SPARK-47770][INFRA] Fix
 `GenerateMIMAIgnore.isPackagePrivateModule` to return `false` instead of
 failing

### What changes were proposed in this pull request?

This PR aims to fix `GenerateMIMAIgnore.isPackagePrivateModule` to work correctly.

For example, `Metadata` is a case class inside package private `DefaultParamsReader` class. Currently, MIMA fails at this class analysis.

https://github.com/apache/spark/blob/f8e652e88320528a70e605a6a3cf986725e153a5/mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala#L474-L485

The root cause is `isPackagePrivateModule` fails due to `scala.ScalaReflectionException`. We can simply make `isPackagePrivateModule` return `false`  instead of failing.
```
Error instrumenting class:org.apache.spark.ml.util.DefaultParamsReader$Metadata
Exception in thread "main" scala.ScalaReflectionException: type Serializable is not a class
	at scala.reflect.api.Symbols$SymbolApi.asClass(Symbols.scala:284)
	at scala.reflect.api.Symbols$SymbolApi.asClass$(Symbols.scala:284)
	at scala.reflect.internal.Symbols$SymbolContextApiImpl.asClass(Symbols.scala:99)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.classToScala1(JavaMirrors.scala:1085)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.$anonfun$classToScala$1(JavaMirrors.scala:1040)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.$anonfun$toScala$1(JavaMirrors.scala:150)
	at scala.reflect.runtime.TwoWayCaches$TwoWayCache.toScala(TwoWayCaches.scala:50)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.toScala(JavaMirrors.scala:148)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.classToScala(JavaMirrors.scala:1040)
	at scala.reflect.runtime.JavaMirrors$JavaMirror.typeToScala(JavaMirrors.scala:1148)
	at scala.reflect.runtime.JavaMirrors$JavaMirror$FromJavaClassCompleter.$anonfun$completeRest$2(JavaMirrors.scala:816)
	at scala.reflect.runtime.JavaMirrors$JavaMirror$FromJavaClassCompleter.$anonfun$completeRest$1(JavaMirrors.scala:816)
	at scala.reflect.runtime.JavaMirrors$JavaMirror$FromJavaClassCompleter.completeRest(JavaMirrors.scala:810)
	at scala.reflect.runtime.JavaMirrors$JavaMirror$FromJavaClassCompleter.complete(JavaMirrors.scala:806)
	at scala.reflect.internal.Symbols$Symbol.completeInfo(Symbols.scala:1575)
	at scala.reflect.internal.Symbols$Symbol.info(Symbols.scala:1538)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$13.scala$reflect$runtime$SynchronizedSymbols$SynchronizedSymbol$$super$info(SynchronizedSymbols.scala:221)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol.info(SynchronizedSymbols.scala:158)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol.info$(SynchronizedSymbols.scala:158)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$13.info(SynchronizedSymbols.scala:221)
	at scala.reflect.internal.Symbols$Symbol.initialize(Symbols.scala:1733)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol.privateWithin(SynchronizedSymbols.scala:109)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol.privateWithin$(SynchronizedSymbols.scala:107)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$13.privateWithin(SynchronizedSymbols.scala:221)
	at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$13.privateWithin(SynchronizedSymbols.scala:221)
	at org.apache.spark.tools.GenerateMIMAIgnore$.isPackagePrivateModule(GenerateMIMAIgnore.scala:48)
	at org.apache.spark.tools.GenerateMIMAIgnore$.$anonfun$privateWithin$1(GenerateMIMAIgnore.scala:67)
	at scala.collection.immutable.List.foreach(List.scala:334)
	at org.apache.spark.tools.GenerateMIMAIgnore$.privateWithin(GenerateMIMAIgnore.scala:61)
	at org.apache.spark.tools.GenerateMIMAIgnore$.main(GenerateMIMAIgnore.scala:125)
	at org.apache.spark.tools.GenerateMIMAIgnore.main(GenerateMIMAIgnore.scala)
```

### Why are the changes needed?

**BEFORE**
```
$ dev/mima | grep org.apache.spark.ml.util.DefaultParamsReader
Using SPARK_LOCAL_IP=localhost
Using SPARK_LOCAL_IP=localhost
Error instrumenting class:org.apache.spark.ml.util.DefaultParamsReader$Metadata$
Error instrumenting class:org.apache.spark.ml.util.DefaultParamsReader$Metadata
Using SPARK_LOCAL_IP=localhost

# I checked the following before deleing `.generated-mima-class-excludes `
$ cat .generated-mima-class-excludes | grep org.apache.spark.ml.util.DefaultParamsReader
org.apache.spark.ml.util.DefaultParamsReader$
org.apache.spark.ml.util.DefaultParamsReader#
org.apache.spark.ml.util.DefaultParamsReader
```

**AFTER**
```
$ dev/mima | grep org.apache.spark.ml.util.DefaultParamsReader
Using SPARK_LOCAL_IP=localhost
Using SPARK_LOCAL_IP=localhost
[WARN] Unable to detect inner functions for class:org.apache.spark.ml.util.DefaultParamsReader.Metadata
[WARN] Unable to detect inner functions for class:org.apache.spark.ml.util.DefaultParamsReader.Metadata
Using SPARK_LOCAL_IP=localhost

# I checked the following before deleting `.generated-mima-class-excludes `.
$ cat .generated-mima-class-excludes | grep org.apache.spark.ml.util.DefaultParamsReader
org.apache.spark.ml.util.DefaultParamsReader$Metadata$
org.apache.spark.ml.util.DefaultParamsReader$
org.apache.spark.ml.util.DefaultParamsReader#Metadata#
org.apache.spark.ml.util.DefaultParamsReader#
org.apache.spark.ml.util.DefaultParamsReader$Metadata
org.apache.spark.ml.util.DefaultParamsReader#Metadata
org.apache.spark.ml.util.DefaultParamsReader
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45938 from dongjoon-hyun/SPARK-47770.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 08c49637795fd56ef550a509648f0890ff22a948)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../org/apache/spark/tools/GenerateMIMAIgnore.scala      | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/tools/src/main/scala/org/apache/spark/tools/GenerateMIMAIgnore.scala b/tools/src/main/scala/org/apache/spark/tools/GenerateMIMAIgnore.scala
index a46a7fbeec497..be863b52c2500 100644
--- a/tools/src/main/scala/org/apache/spark/tools/GenerateMIMAIgnore.scala
+++ b/tools/src/main/scala/org/apache/spark/tools/GenerateMIMAIgnore.scala
@@ -44,8 +44,15 @@ object GenerateMIMAIgnore {
   private def isPackagePrivate(sym: unv.Symbol) =
     !sym.privateWithin.fullName.startsWith("<none>")
 
-  private def isPackagePrivateModule(moduleSymbol: unv.ModuleSymbol) =
+  private def isPackagePrivateModule(moduleSymbol: unv.ModuleSymbol) = try {
     !moduleSymbol.privateWithin.fullName.startsWith("<none>")
+  } catch {
+    case e: Throwable =>
+      // scalastyle:off println
+      println("[WARN] Unable to check module:" + moduleSymbol)
+      // scalastyle:on println
+      false
+  }
 
   /**
    * For every class checks via scala reflection if the class itself or contained members

From d424a4bcf2a1c79005e8d0489db2ba844de6fe06 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 9 Apr 2024 00:23:00 -0700
Subject: [PATCH 648/986] [SPARK-47774][INFRA][3.5] Remove redundant rules from
 `MimaExcludes`

### What changes were proposed in this pull request?

This PR aims to remove redundant rules from `MimaExcludes` for Apache Spark 3.5.x.

Previously, these rules were required due to the `dev/mima` limitation which is fixed at
- https://github.com/apache/spark/pull/45938

### Why are the changes needed?

To minimize the exclusion rules for Apache Spark 3.5.x by removing the rules related to the following `private class`.

- `HadoopFSUtils`
https://github.com/apache/spark/blob/f0752f2701b1b8d5fbc38912edd9cd9325693bef/core/src/main/scala/org/apache/spark/util/HadoopFSUtils.scala#L36

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45948 from dongjoon-hyun/SPARK-47774-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 project/MimaExcludes.scala | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 376ddfde1b937..ae026165addc1 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -41,11 +41,6 @@ object MimaExcludes {
     ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.types.SQLUserDefinedType"),
     // [SPARK-43165][SQL] Move canWrite to DataTypeUtils
     ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.types.DataType.canWrite"),
-    // [SPARK-43195][CORE] Remove unnecessary serializable wrapper in HadoopFSUtils
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.HadoopFSUtils$SerializableBlockLocation"),
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.HadoopFSUtils$SerializableBlockLocation$"),
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.HadoopFSUtils$SerializableFileStatus"),
-    ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.HadoopFSUtils$SerializableFileStatus$"),
     // [SPARK-43792][SQL][PYTHON][CONNECT] Add optional pattern for Catalog.listCatalogs
     ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.listCatalogs"),
     // [SPARK-43881][SQL][PYTHON][CONNECT] Add optional pattern for Catalog.listDatabases

From 73e10b41b23d08ac1abe5e0e25ba5167183feb15 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 26 Feb 2024 22:57:01 -0800
Subject: [PATCH 649/986] [SPARK-47182][BUILD] Exclude `commons-(io|lang3)`
 transitive dependencies from `commons-compress` and `avro*`

### Why are the changes needed?

This PR aims to exclude `commons-(io|lang3)` transitive dependencies from `commons-compress`, `avro`, and `avro-mapred` dependencies.

### Does this PR introduce _any_ user-facing change?

Apache Spark define and use our own versions. The exclusion of the transitive dependencies will clarify that.

https://github.com/apache/spark/blob/1a408033daf458f1ceebbe14a560355a1a2c0a70/pom.xml#L198

https://github.com/apache/spark/blob/1a408033daf458f1ceebbe14a560355a1a2c0a70/pom.xml#L194

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45278 from dongjoon-hyun/SPARK-47182.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 pom.xml | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)

diff --git a/pom.xml b/pom.xml
index 965f88ee14d50..5c1cd8d7f7924 100644
--- a/pom.xml
+++ b/pom.xml
@@ -625,6 +625,16 @@
         <groupId>org.apache.commons</groupId>
         <artifactId>commons-compress</artifactId>
         <version>${commons-compress.version}</version>
+        <exclusions>
+          <exclusion>
+            <groupId>commons-io</groupId>
+            <artifactId>commons-io</artifactId>
+          </exclusion>
+          <exclusion>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-lang3</artifactId>
+          </exclusion>
+        </exclusions>
       </dependency>
       <dependency>
         <groupId>org.apache.commons</groupId>
@@ -1458,6 +1468,16 @@
         <groupId>org.apache.avro</groupId>
         <artifactId>avro</artifactId>
         <version>${avro.version}</version>
+        <exclusions>
+          <exclusion>
+            <groupId>commons-io</groupId>
+            <artifactId>commons-io</artifactId>
+          </exclusion>
+          <exclusion>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-lang3</artifactId>
+          </exclusion>
+        </exclusions>
       </dependency>
       <dependency>
         <groupId>org.apache.avro</groupId>
@@ -1497,6 +1517,14 @@
             <groupId>com.github.luben</groupId>
             <artifactId>zstd-jni</artifactId>
           </exclusion>
+          <exclusion>
+            <groupId>commons-io</groupId>
+            <artifactId>commons-io</artifactId>
+          </exclusion>
+          <exclusion>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-lang3</artifactId>
+          </exclusion>
         </exclusions>
       </dependency>
       <!--

From 7bec38751dacd58d48e21f3f913a6fa8e21bd7d9 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Sun, 18 Feb 2024 18:56:46 -0800
Subject: [PATCH 650/986] [SPARK-47083][BUILD] Upgrade `commons-codec` to
 1.16.1

The pr aims to upgrade `commons-codec` from `1.16.0` to `1.16.1`.

1.The new version brings some bug fixed, eg:
- Fix possible IndexOutOfBoundException in PhoneticEngine.encode method #223. Fixes [CODEC-315](https://issues.apache.org/jira/browse/CODEC-315)
- Fix possible IndexOutOfBoundsException in PercentCodec.insertAlwaysEncodeChars() method #222. Fixes [CODEC-314](https://issues.apache.org/jira/browse/CODEC-314).

2.The full release notes:
    https://commons.apache.org/proper/commons-codec/changes-report.html#a1.16.1

No.

Pass GA.

No.

Closes #45152 from panbingkun/SPARK-47083.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index a070dcccd0098..8d2a54189eddc 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -36,7 +36,7 @@ cats-kernel_2.12/2.1.1//cats-kernel_2.12-2.1.1.jar
 chill-java/0.10.0//chill-java-0.10.0.jar
 chill_2.12/0.10.0//chill_2.12-0.10.0.jar
 commons-cli/1.5.0//commons-cli-1.5.0.jar
-commons-codec/1.16.0//commons-codec-1.16.0.jar
+commons-codec/1.16.1//commons-codec-1.16.1.jar
 commons-collections/3.2.2//commons-collections-3.2.2.jar
 commons-collections4/4.4//commons-collections4-4.4.jar
 commons-compiler/3.1.9//commons-compiler-3.1.9.jar
diff --git a/pom.xml b/pom.xml
index 5c1cd8d7f7924..2954fc0d97cb6 100644
--- a/pom.xml
+++ b/pom.xml
@@ -188,7 +188,7 @@
     <fasterxml.jackson.databind.version>2.15.2</fasterxml.jackson.databind.version>
     <snappy.version>1.1.10.5</snappy.version>
     <netlib.ludovic.dev.version>3.0.3</netlib.ludovic.dev.version>
-    <commons-codec.version>1.16.0</commons-codec.version>
+    <commons-codec.version>1.16.1</commons-codec.version>
     <commons-compress.version>1.23.0</commons-compress.version>
     <commons-io.version>2.13.0</commons-io.version>
     <!-- org.apache.commons/commons-lang/-->

From 2c43d92511b27fc0c106e97c1e9e8f5253e4b894 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 10 Apr 2024 01:37:00 -0700
Subject: [PATCH 651/986] [SPARK-47790][BUILD][3.5] Upgrade `commons-io` to
 2.16.1

### What changes were proposed in this pull request?

This PR aims to upgrade `commons-io` to 2.16.1.

### Why are the changes needed?

To bring the latest bug fixes
- https://commons.apache.org/proper/commons-io/changes-report.html#a2.16.1 (2024-04-04)
- https://commons.apache.org/proper/commons-io/changes-report.html#a2.16.0 (2024-03-25)
- https://commons.apache.org/proper/commons-io/changes-report.html#a2.15.1 (2023-11-24)
- https://commons.apache.org/proper/commons-io/changes-report.html#a2.15.0 (2023-10-21)
- https://commons.apache.org/proper/commons-io/changes-report.html#a2.14.0 (2023-09-24)

### Does this PR introduce _any_ user-facing change?

Yes, this is a dependency change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45974 from dongjoon-hyun/SPARK-47790-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 8d2a54189eddc..378cdb121150f 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -43,7 +43,7 @@ commons-compiler/3.1.9//commons-compiler-3.1.9.jar
 commons-compress/1.23.0//commons-compress-1.23.0.jar
 commons-crypto/1.1.0//commons-crypto-1.1.0.jar
 commons-dbcp/1.4//commons-dbcp-1.4.jar
-commons-io/2.13.0//commons-io-2.13.0.jar
+commons-io/2.16.1//commons-io-2.16.1.jar
 commons-lang/2.6//commons-lang-2.6.jar
 commons-lang3/3.12.0//commons-lang3-3.12.0.jar
 commons-logging/1.1.3//commons-logging-1.1.3.jar
diff --git a/pom.xml b/pom.xml
index 2954fc0d97cb6..34cbefbeb3f7d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -190,7 +190,7 @@
     <netlib.ludovic.dev.version>3.0.3</netlib.ludovic.dev.version>
     <commons-codec.version>1.16.1</commons-codec.version>
     <commons-compress.version>1.23.0</commons-compress.version>
-    <commons-io.version>2.13.0</commons-io.version>
+    <commons-io.version>2.16.1</commons-io.version>
     <!-- org.apache.commons/commons-lang/-->
     <commons-lang2.version>2.6</commons-lang2.version>
     <!-- org.apache.commons/commons-lang3/-->

From 8a77a012cd6d1d3057bb7f1340850cf567b8a6ed Mon Sep 17 00:00:00 2001
From: Ivan Sadikov <ivan.sadikov@databricks.com>
Date: Thu, 11 Apr 2024 10:50:11 +0900
Subject: [PATCH 652/986] [SPARK-47704][SQL] JSON parsing fails with
 "java.lang.ClassCastException" when spark.sql.json.enablePartialResults is
 enabled

This PR fixes a bug that was introduced in [SPARK-47704](https://issues.apache.org/jira/browse/SPARK-47704). To be precise, SPARK-47704 missed this corner case because I could not find a small stable repro for the problem at the time.

When `spark.sql.json.enablePartialResults` is enabled (which is the default), if a user tries to read `{"a":[{"key":{"b":0}}]}` with the code:
```scala
val df = spark.read
  .schema("a array<map<string, struct<b boolean>>>")
  .json(path)
```
exception is thrown:
```
java.lang.ClassCastException: class org.apache.spark.sql.catalyst.util.ArrayBasedMapData cannot be cast to class org.apache.spark.sql.catalyst.util.ArrayData (org.apache.spark.sql.catalyst.util.ArrayBasedMapData and org.apache.spark.sql.catalyst.util.ArrayData are in unnamed module of loader 'app')
at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray(rows.scala:53)
at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray$(rows.scala:53)
at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getArray(rows.scala:172)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.getNext(FileScanRDD.scala:605)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.$anonfun$prepareNextFile$1(FileScanRDD.scala:884)
at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
```

The same happens when map and array are reversed: `{"a":{"key":[{"b":0}]}}`:
```scala
val df = spark.read
  .schema("a map<string, array<struct<b boolean>>>")
  .json(path)
```

In both cases, we should partially parse the record, only struct with boolean type cannot be parsed:
- `Row(Array(Map("key" -> Row(null))))` in the first case.
- `Row(Map("key" -> Array(Row(null))))` in the second case.

We simply did not handle all of the partial results exceptions when converting array and map, instead of catching `PartialResultException` which is only for structs. Instead, we should catch `PartialValueException` that covers struct, map, and array.

Fixes a bug where user would encounter an exception instead of reading a partially parsed JSON record.

No.

I added unit tests that verify the fix.

No.

Closes #45833 from sadikovi/SPARK-47704.

Authored-by: Ivan Sadikov <ivan.sadikov@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit a2b7050e0fc5db6ac98db57309e4737acd26bf3a)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/catalyst/json/JacksonParser.scala     | 12 ++---
 .../datasources/json/JsonSuite.scala          | 44 +++++++++++++++++++
 2 files changed, 50 insertions(+), 6 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
index f14f70532e659..3f6ea9a174c0c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
@@ -497,9 +497,9 @@ class JacksonParser(
       try {
         values += fieldConverter.apply(parser)
       } catch {
-        case PartialResultException(row, cause) if enablePartialResults =>
-          badRecordException = badRecordException.orElse(Some(cause))
-          values += row
+        case err: PartialValueException if enablePartialResults =>
+          badRecordException = badRecordException.orElse(Some(err.cause))
+          values += err.partialResult
         case NonFatal(e) if enablePartialResults =>
           badRecordException = badRecordException.orElse(Some(e))
           parser.skipChildren()
@@ -534,9 +534,9 @@ class JacksonParser(
         if (isRoot && v == null) throw QueryExecutionErrors.rootConverterReturnNullError()
         values += v
       } catch {
-        case PartialResultException(row, cause) if enablePartialResults =>
-          badRecordException = badRecordException.orElse(Some(cause))
-          values += row
+        case err: PartialValueException if enablePartialResults =>
+          badRecordException = badRecordException.orElse(Some(err.cause))
+          values += err.partialResult
       }
     }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
index 11779286ec25f..e8005b2041919 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
@@ -3654,6 +3654,50 @@ abstract class JsonSuite
     assert(JSONOptions.getAlternativeOption("charset").contains("encoding"))
     assert(JSONOptions.getAlternativeOption("dateFormat").isEmpty)
   }
+
+  test("SPARK-47704: Handle partial parsing of array<map>") {
+    withTempPath { path =>
+      Seq("""{"a":[{"key":{"b":0}}]}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      for (enablePartialResults <- Seq(true, false)) {
+        withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> s"$enablePartialResults") {
+          val df = spark.read
+            .schema("a array<map<string, struct<b boolean>>>")
+            .json(path.getAbsolutePath)
+
+          if (enablePartialResults) {
+            checkAnswer(df, Seq(Row(Array(Map("key" -> Row(null))))))
+          } else {
+            checkAnswer(df, Seq(Row(null)))
+          }
+        }
+      }
+    }
+  }
+
+  test("SPARK-47704: Handle partial parsing of map<string, array>") {
+    withTempPath { path =>
+      Seq("""{"a":{"key":[{"b":0}]}}""").toDF()
+        .repartition(1)
+        .write.text(path.getAbsolutePath)
+
+      for (enablePartialResults <- Seq(true, false)) {
+        withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> s"$enablePartialResults") {
+          val df = spark.read
+            .schema("a map<string, array<struct<b boolean>>>")
+            .json(path.getAbsolutePath)
+
+          if (enablePartialResults) {
+            checkAnswer(df, Seq(Row(Map("key" -> Seq(Row(null))))))
+          } else {
+            checkAnswer(df, Seq(Row(null)))
+          }
+        }
+      }
+    }
+  }
 }
 
 class JsonV1Suite extends JsonSuite {

From 0818ce7eac974a93c684760b0f46ac71a74f63e1 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 11 Apr 2024 11:25:49 +0900
Subject: [PATCH 653/986] [MINOR][DOCS] Clarify relation between grouping API
 and `spark.sql.execution.arrow.maxRecordsPerBatch`

### What changes were proposed in this pull request?

This PR fixes the documentation of `spark.sql.execution.arrow.maxRecordsPerBatch` to clarify the relation between `spark.sql.execution.arrow.maxRecordsPerBatch` and grouping API such as `DataFrame(.cogroup).groupby.applyInPandas`.

### Why are the changes needed?

To address confusion about them.

### Does this PR introduce _any_ user-facing change?

Yes, it fixes the user-facing SQL configuration page https://spark.apache.org/docs/latest/configuration.html#runtime-sql-configuration

### How was this patch tested?

CI in this PR should verify them. I ran linters.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #45993 from HyukjinKwon/minor-doc-change.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 6c8e4cfd6f3f95455b0d4479f2527d425349f1cf)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../main/scala/org/apache/spark/sql/internal/SQLConf.scala    | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 2e41374035c8c..3e62f656ac9e4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2878,7 +2878,9 @@ object SQLConf {
   val ARROW_EXECUTION_MAX_RECORDS_PER_BATCH =
     buildConf("spark.sql.execution.arrow.maxRecordsPerBatch")
       .doc("When using Apache Arrow, limit the maximum number of records that can be written " +
-        "to a single ArrowRecordBatch in memory. If set to zero or negative there is no limit.")
+        "to a single ArrowRecordBatch in memory. This configuration is not effective for the " +
+        "grouping API such as DataFrame(.cogroup).groupby.applyInPandas because each group " +
+        "becomes each ArrowRecordBatch. If set to zero or negative there is no limit.")
       .version("2.3.0")
       .intConf
       .createWithDefault(10000)

From 7d1e77c3072e278d2552a57746bf3ab7abc58c41 Mon Sep 17 00:00:00 2001
From: beliefer <beliefer@163.com>
Date: Wed, 10 Apr 2024 20:33:43 -0700
Subject: [PATCH 654/986] [MINOR][DOCS] Make the link of spark properties with
 YARN more accurate

### What changes were proposed in this pull request?
This PR propose to make the link of spark properties with YARN more accurate.

### Why are the changes needed?
Currently, the link of `YARN Spark Properties` is just the page of `running-on-yarn.html`.
We should add the anchor point.

### Does this PR introduce _any_ user-facing change?
'Yes'.
More convenient for readers to read.

### How was this patch tested?
N/A

### Was this patch authored or co-authored using generative AI tooling?
'No'.

Closes #45994 from beliefer/accurate-yarn-link.

Authored-by: beliefer <beliefer@163.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit aca3d1025e2d85c02737456bfb01163c87ca3394)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 docs/job-scheduling.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md
index 0875bd5558e5b..8f10d0788e63d 100644
--- a/docs/job-scheduling.md
+++ b/docs/job-scheduling.md
@@ -57,7 +57,7 @@ Resource allocation can be configured as follows, based on the cluster type:
   on the cluster (`spark.executor.instances` as configuration property), while `--executor-memory`
   (`spark.executor.memory` configuration property) and `--executor-cores` (`spark.executor.cores` configuration
   property) control the resources per executor. For more information, see the
-  [YARN Spark Properties](running-on-yarn.html).
+  [YARN Spark Properties](running-on-yarn.html#spark-properties).
 
 A second option available on Mesos is _dynamic sharing_ of CPU cores. In this mode, each Spark application
 still has a fixed and independent memory allocation (set by `spark.executor.memory`), but when the

From d18659de626cc3743e7f6a5dceca0f2a25b006de Mon Sep 17 00:00:00 2001
From: Mark Jarvin <mark.jarvin@databricks.com>
Date: Fri, 12 Apr 2024 09:37:19 +0900
Subject: [PATCH 655/986] [SPARK-47824][PS] Fix nondeterminism in
 pyspark.pandas.series.asof

### What changes were proposed in this pull request?

Use the monotonically ID as a sorting condition for `max_by` instead of a literal string.

### Why are the changes needed?
https://github.com/apache/spark/pull/35191 had a error where the literal string `"__monotonically_increasing_id__"` was used as the tie-breaker in `max_by` instead of the actual ID.

### Does this PR introduce _any_ user-facing change?
Fixes nondeterminism in `asof`

### How was this patch tested?
In some circumstances `//python:pyspark.pandas.tests.connect.series.test_parity_as_of` is sufficient to reproduce

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46018 from markj-db/SPARK-47824.

Authored-by: Mark Jarvin <mark.jarvin@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit a0ccdf27e5ff30817b8f058f08f98d5b44bad2db)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/series.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/pandas/series.py b/python/pyspark/pandas/series.py
index 95ca92e78787d..b54ae88616fa5 100644
--- a/python/pyspark/pandas/series.py
+++ b/python/pyspark/pandas/series.py
@@ -5910,7 +5910,7 @@ def asof(self, where: Union[Any, List]) -> Union[Scalar, "Series"]:
                     # then return monotonically_increasing_id. This will let max by
                     # to return last index value, which is the behaviour of pandas
                     else spark_column.isNotNull(),
-                    monotonically_increasing_id_column,
+                    F.col(monotonically_increasing_id_column),
                 ),
             )
             for index in where

From b8e2498007a0b4e9a8790ce8a3511427093fa6a7 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sat, 13 Apr 2024 16:54:20 -0700
Subject: [PATCH 656/986] [SPARK-47318][CORE][3.5] Adds HKDF round to
 AuthEngine key derivation to follow standard KEX practices

### What changes were proposed in this pull request?

Backport of SPARK-47318 to v3.5.0

This change adds an additional pass through a key derivation function (KDF) to the key exchange protocol in `AuthEngine`. Currently, it uses the shared secret from a bespoke key negotiation protocol directly. This is an encoded X coordinate on the X25519 curve. It is atypical and not recommended to use that coordinate directly as a key, but rather to pass it to an KDF.

Note, Spark now supports TLS for RPC calls. It is preferable to use that rather than the bespoke AES RPC encryption implemented by `AuthEngine` and `TransportCipher`.

### Why are the changes needed?

This follows best practices of key negotiation protocols. The encoded X coordinate is not guaranteed to be uniformly distributed over the 32-byte key space. Rather, we pass it through a HKDF function to map it uniformly to a 16-byte key space.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Exiting tests under:
`build/sbt "network-common/test:testOnly"`

Specifically:
`build/sbt "network-common/test:testOnly org.apache.spark.network.crypto.AuthEngineSuite"`
`build/sbt "network-common/test:testOnly org.apache.spark.network.crypto.AuthIntegrationSuite"`

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46014 from sweisdb/SPARK-47318-v3.5.0.

Lead-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Co-authored-by: Steve Weis <steve.weis@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/network/crypto/AuthEngine.java      | 15 +++++++-
 .../org/apache/spark/network/crypto/README.md | 17 +++++++++-
 .../spark/network/util/TransportConf.java     |  9 +++++
 .../spark/network/crypto/AuthEngineSuite.java | 34 +++++++++++++++++--
 docs/security.md                              | 12 +++++++
 5 files changed, 82 insertions(+), 5 deletions(-)

diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java b/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
index 078d9ceb317b8..14f0c23fd05fc 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
@@ -41,16 +41,19 @@
  * Exchange, using a pre-shared key to derive an AES-GCM key encrypting key.
  */
 class AuthEngine implements Closeable {
+  public static final byte[] DERIVED_KEY_INFO = "derivedKey".getBytes(UTF_8);
   public static final byte[] INPUT_IV_INFO = "inputIv".getBytes(UTF_8);
   public static final byte[] OUTPUT_IV_INFO = "outputIv".getBytes(UTF_8);
   private static final String MAC_ALGORITHM = "HMACSHA256";
   private static final int AES_GCM_KEY_SIZE_BYTES = 16;
   private static final byte[] EMPTY_TRANSCRIPT = new byte[0];
+  private static final int UNSAFE_SKIP_HKDF_VERSION = 1;
 
   private final String appId;
   private final byte[] preSharedSecret;
   private final TransportConf conf;
   private final Properties cryptoConf;
+  private final boolean unsafeSkipFinalHkdf;
 
   private byte[] clientPrivateKey;
   private TransportCipher sessionCipher;
@@ -62,6 +65,9 @@ class AuthEngine implements Closeable {
     this.preSharedSecret = preSharedSecret.getBytes(UTF_8);
     this.conf = conf;
     this.cryptoConf = conf.cryptoConf();
+    // This is for backward compatibility with version 1.0 of this protocol,
+    // which did not perform a final HKDF round.
+    this.unsafeSkipFinalHkdf = conf.authEngineVersion() == UNSAFE_SKIP_HKDF_VERSION;
   }
 
   @VisibleForTesting
@@ -201,6 +207,13 @@ private TransportCipher generateTransportCipher(
       byte[] sharedSecret,
       boolean isClient,
       byte[] transcript) throws GeneralSecurityException {
+    byte[] derivedKey = unsafeSkipFinalHkdf ? sharedSecret :  // This is for backwards compatibility
+      Hkdf.computeHkdf(
+        MAC_ALGORITHM,
+        sharedSecret,
+        transcript,
+        DERIVED_KEY_INFO,
+        AES_GCM_KEY_SIZE_BYTES);
     byte[] clientIv = Hkdf.computeHkdf(
         MAC_ALGORITHM,
         sharedSecret,
@@ -213,7 +226,7 @@ private TransportCipher generateTransportCipher(
         transcript,  // Passing this as the HKDF salt
         OUTPUT_IV_INFO,  // This is the HKDF info field used to differentiate IV values
         AES_GCM_KEY_SIZE_BYTES);
-    SecretKeySpec sessionKey = new SecretKeySpec(sharedSecret, "AES");
+    SecretKeySpec sessionKey = new SecretKeySpec(derivedKey, "AES");
     return new TransportCipher(
         cryptoConf,
         conf.cipherTransformation(),
diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/README.md b/common/network-common/src/main/java/org/apache/spark/network/crypto/README.md
index 78e7459b9995d..5d3584d80462c 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/crypto/README.md
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/README.md
@@ -1,6 +1,9 @@
-Forward Secure Auth Protocol
+Forward Secure Auth Protocol v2.0
 ==============================================
 
+Summary
+-------
+
 This file describes a forward secure authentication protocol which may be used by Spark. This
 protocol is essentially ephemeral Diffie-Hellman key exchange using Curve25519, referred to as
 X25519.
@@ -77,6 +80,7 @@ Now that the server has the client's ephemeral public key, it can generate its o
 keypair and compute a shared secret.
 
     sharedSecret = X25519.computeSharedSecret(clientPublicKey, serverKeyPair.privateKey())
+    derivedKey = HKDF(sharedSecret, salt=transcript, info="deriveKey")
 
 With the shared secret, the server will also generate two initialization vectors to be used for
 inbound and outbound streams. These IVs are not secret and will be bound to the preceding protocol
@@ -99,3 +103,14 @@ sessions. It would, however, allow impersonation of future sessions.
 In the event of a pre-shared key compromise, messages would still be confidential from a passive
 observer. Only active adversaries spoofing a session would be able to recover plaintext.
 
+Security Changes & Compatibility
+-------------
+
+The original version of this protocol, retroactively called v1.0, did not apply an HKDF to `sharedSecret` to derive
+a key (i.e. `derivedKey`) and was directly using the encoded X coordinate as key material. This is atypical and
+standard practice is to pass that shared coordinate through an HKDF. The latest version adds this additional
+HKDF to derive `derivedKey`.
+
+Consequently, Apache Spark instances using v1.0 of this protocol will not negotiate the same key as
+instances using v2.0 and will be **unable to send encrypted RPCs** across incompatible versions. For this reason, v1.0
+remains the default to preserve backward-compatibility.
\ No newline at end of file
diff --git a/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java b/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
index 45e9994be7225..e4966b32fb454 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
@@ -212,6 +212,15 @@ public boolean encryptionEnabled() {
     return conf.getBoolean("spark.network.crypto.enabled", false);
   }
 
+  /**
+   * Version number to be used by the AuthEngine key agreement protocol. Valid values are 1 or 2.
+   * The default version is 1 for backward compatibility. Version 2 is recommended for stronger
+   * security properties.
+   */
+  public int authEngineVersion() {
+    return conf.getInt("spark.network.crypto.authEngineVersion", 1);
+  }
+
   /**
    * The cipher transformation to use for encrypting session data.
    */
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
index c6029a70bd61d..971e3ef2ff98c 100644
--- a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
@@ -20,6 +20,7 @@
 import java.nio.ByteBuffer;
 import java.nio.channels.WritableByteChannel;
 import java.security.GeneralSecurityException;
+import java.util.Collections;
 import java.util.Random;
 
 import com.google.crypto.tink.subtle.Hex;
@@ -27,6 +28,7 @@
 import io.netty.buffer.Unpooled;
 import io.netty.channel.FileRegion;
 import org.apache.spark.network.util.ByteArrayWritableChannel;
+import org.apache.spark.network.util.ConfigProvider;
 import org.apache.spark.network.util.MapConfigProvider;
 import org.apache.spark.network.util.TransportConf;
 import static org.junit.Assert.*;
@@ -48,7 +50,10 @@ public class AuthEngineSuite {
       "fb00000005617070496400000010708451c9dd2792c97c1ca66e6df449ef0000003c64fe899ecdaf458d4" +
       "e25e9d5c5a380b8e6d1a184692fac065ed84f8592c18e9629f9c636809dca2ffc041f20346eb53db78738" +
       "08ecad08b46b5ee3ff";
-  private static final String sharedKey =
+
+  private static final String derivedKey = "2d6e7a9048c8265c33a8f3747bfcc84c";
+  // This key would have been derived for version 1.0 protocol that did not run a final HKDF round.
+  private static final String unsafeDerivedKey =
       "31963f15a320d5c90333f7ecf5cf3a31c7eaf151de07fef8494663a9f47cfd31";
   private static final String inputIv = "fc6a5dc8b90a9dad8f54f08b51a59ed2";
   private static final String outputIv = "a72709baf00785cad6329ce09f631f71";
@@ -56,7 +61,9 @@ public class AuthEngineSuite {
 
   @BeforeClass
   public static void setUp() {
-    conf = new TransportConf("rpc", MapConfigProvider.EMPTY);
+    ConfigProvider v2Provider = new MapConfigProvider(Collections.singletonMap(
+            "spark.network.crypto.authEngineVersion", "2"));
+    conf = new TransportConf("rpc", v2Provider);
   }
 
   @Test
@@ -174,7 +181,28 @@ public void testFixedChallengeResponse() throws Exception {
       // Verify that the client will accept an old transcript.
       client.deriveSessionCipher(clientChallenge, serverResponse);
       TransportCipher clientCipher = client.sessionCipher();
-      assertEquals(Hex.encode(clientCipher.getKey().getEncoded()), sharedKey);
+      assertEquals(Hex.encode(clientCipher.getKey().getEncoded()), derivedKey);
+      assertEquals(Hex.encode(clientCipher.getInputIv()), inputIv);
+      assertEquals(Hex.encode(clientCipher.getOutputIv()), outputIv);
+    }
+  }
+
+  @Test
+  public void testFixedChallengeResponseUnsafeVersion() throws Exception {
+    ConfigProvider v1Provider = new MapConfigProvider(Collections.singletonMap(
+            "spark.network.crypto.authEngineVersion", "1"));
+    TransportConf v1Conf = new TransportConf("rpc", v1Provider);
+    try (AuthEngine client = new AuthEngine("appId", "secret", v1Conf)) {
+      byte[] clientPrivateKey = Hex.decode(clientPrivate);
+      client.setClientPrivateKey(clientPrivateKey);
+      AuthMessage clientChallenge =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
+      AuthMessage serverResponse =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
+      // Verify that the client will accept an old transcript.
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = client.sessionCipher();
+      assertEquals(Hex.encode(clientCipher.getKey().getEncoded()), unsafeDerivedKey);
       assertEquals(Hex.encode(clientCipher.getInputIv()), inputIv);
       assertEquals(Hex.encode(clientCipher.getOutputIv()), outputIv);
     }
diff --git a/docs/security.md b/docs/security.md
index c5d132f680a41..c0a4b4da03030 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -154,6 +154,12 @@ authentication must also be enabled and properly configured. AES encryption uses
 [Apache Commons Crypto](https://commons.apache.org/proper/commons-crypto/) library, and Spark's
 configuration system allows access to that library's configuration for advanced users.
 
+This protocol has two mutually incompatible versions. Version 1 omits applying key derivation function
+(KDF) to the key exchange protocol's output, while version 2 applies a KDF to ensure that the derived
+session key is uniformly distributed. Version 1 is default for backward compatibility. It is
+**recommended to use version 2** for better security properties. The version can be configured by setting
+`spark.network.crypto.authEngineVersion` to 1 or 2 respectively.
+
 There is also support for SASL-based encryption, although it should be considered deprecated. It
 is still required when talking to shuffle services from Spark versions older than 2.2.0.
 
@@ -169,6 +175,12 @@ The following table describes the different options available for configuring th
   </td>
   <td>2.2.0</td>
 </tr>
+<tr>
+  <td><code>spark.network.crypto.authEngineVersion</code></td>
+  <td>1</td>
+  <td>Version of AES-based RPC encryption to use. Valid versions are 1 or 2. Version 2 is recommended.</td>
+  <td>3.4.3, 3.5.2</td>
+</tr>
 <tr>
   <td><code>spark.network.crypto.config.*</code></td>
   <td>None</td>

From 3b3903dda363826cecea43cafabd63397b9deb9b Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Mon, 15 Apr 2024 17:00:40 -0700
Subject: [PATCH 657/986] [SPARK-47828][CONNECT][PYTHON][3.5]
 DataFrameWriterV2.overwrite fails with invalid plan

cherry pick fix https://github.com/apache/spark/pull/46023 to 3.5

Closes #46050 from zhengruifeng/connect_fix_overwrite_35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/connect/plan.py          | 8 ++++----
 python/pyspark/sql/tests/test_readwriter.py | 7 ++++++-
 2 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index b49274e399c48..43af8bb427a5a 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -1655,16 +1655,16 @@ def command(self, session: "SparkConnectClient") -> proto.Command:
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_CREATE
             elif wm == "overwrite":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_OVERWRITE
+                if self.overwrite_condition is not None:
+                    plan.write_operation_v2.overwrite_condition.CopyFrom(
+                        self.col_to_expr(self.overwrite_condition, session)
+                    )
             elif wm == "overwrite_partitions":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_OVERWRITE_PARTITIONS
             elif wm == "append":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_APPEND
             elif wm == "replace":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_REPLACE
-                if self.overwrite_condition is not None:
-                    plan.write_operation_v2.overwrite_condition.CopyFrom(
-                        self.col_to_expr(self.overwrite_condition, session)
-                    )
             elif wm == "create_or_replace":
                 plan.write_operation_v2.mode = proto.WriteOperationV2.Mode.MODE_CREATE_OR_REPLACE
             else:
diff --git a/python/pyspark/sql/tests/test_readwriter.py b/python/pyspark/sql/tests/test_readwriter.py
index 6bcef51732f86..528b88ca0c2d6 100644
--- a/python/pyspark/sql/tests/test_readwriter.py
+++ b/python/pyspark/sql/tests/test_readwriter.py
@@ -20,7 +20,7 @@
 import tempfile
 
 from pyspark.errors import AnalysisException
-from pyspark.sql.functions import col
+from pyspark.sql.functions import col, lit
 from pyspark.sql.readwriter import DataFrameWriterV2
 from pyspark.sql.types import StructType, StructField, StringType
 from pyspark.testing.sqlutils import ReusedSQLTestCase
@@ -231,6 +231,11 @@ def test_create_without_provider(self):
         ):
             df.writeTo("test_table").create()
 
+    def test_table_overwrite(self):
+        df = self.df
+        with self.assertRaisesRegex(AnalysisException, "TABLE_OR_VIEW_NOT_FOUND"):
+            df.writeTo("test_table").overwrite(lit(True))
+
 
 class ReadwriterTests(ReadwriterTestsMixin, ReusedSQLTestCase):
     pass

From 6c67c61bfd21ebe68837f889502368ab9d99ebc5 Mon Sep 17 00:00:00 2001
From: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Date: Tue, 16 Apr 2024 12:36:08 +0900
Subject: [PATCH 658/986] [SPARK-47840][SS] Disable foldable propagation across
 Streaming Aggregate/Join nodes

### What changes were proposed in this pull request?

Streaming queries with Union of 2 data streams followed by an Aggregate (groupBy) can produce incorrect results if the grouping key is a constant literal for micro-batch duration.

The query produces incorrect results because the query optimizer recognizes the literal value in the grouping key as foldable and replaces the grouping key expression with the actual literal value. This optimization is correct for batch queries. However Streaming queries also read information from StateStore, and the output contains both the results from StateStore (computed in previous microbatches) and data from input sources (computed in this microbatch). The HashAggregate node after StateStore always reads grouping key value as the optimized literal (as the grouping key expression is optimized into a literal by the optimizer). This ends up replacing keys in StateStore with the literal value resulting in incorrect output.

See an example logical and physical plan below for a query performing a union on 2 data streams, followed by a groupBy. Note that the name#4 expression has been optimized to ds1. The Streaming query Aggregate adds StateStoreSave node as child of HashAggregate, however any grouping key read from StateStore will still be read as ds1 due to the optimization.

### Optimized Logical Plan

```
=== Applying Rule org.apache.spark.sql.catalyst.optimizer.FoldablePropagation ===

=== Old Plan ===

WriteToMicroBatchDataSource MemorySink, eb67645e-30fc-41a8-8006-35bb7649c202, Complete, 0
+- Aggregate [name#4], [name#4, count(1) AS count#31L]
   +- Project [ds1 AS name#4]
  	+- StreamingDataSourceV2ScanRelation[value#1] MemoryStreamDataSource

=== New Plan ===

WriteToMicroBatchDataSource MemorySink, eb67645e-30fc-41a8-8006-35bb7649c202, Complete, 0
+- Aggregate [ds1], [ds1 AS name#4, count(1) AS count#31L]
   +- Project [ds1 AS name#4]
  	+- StreamingDataSourceV2ScanRelation[value#1] MemoryStreamDataSource

====
```

### Corresponding Physical Plan

```
WriteToDataSourceV2 MicroBatchWrite[epoch: 0, writer: org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWrite2b4c6242], org.apache.spark.sql.execution.datasources.v2.DataSourceV2Strategy$$Lambda$3143/185907563435709d26
+- HashAggregate(keys=[ds1#39], functions=[finalmerge_count(merge count#38L) AS count(1)#30L], output=[name#4, count#31L])
   +- StateStoreSave [ds1#39], state info [ checkpoint = file:/tmp/streaming.metadata-e470782a-18a3-463c-9e61-3a10d0bdf180/state, runId = 4dedecca-910c-4518-855e-456702617414, opId = 0, ver = 0, numPartitions = 5], Complete, 0, 0, 2
  	+- HashAggregate(keys=[ds1#39], functions=[merge_count(merge count#38L) AS count#38L], output=[ds1#39, count#38L])
     	+- StateStoreRestore [ds1#39], state info [ checkpoint = file:/tmp/streaming.metadata-e470782a-18a3-463c-9e61-3a10d0bdf180/state, runId = 4dedecca-910c-4518-855e-456702617414, opId = 0, ver = 0, numPartitions = 5], 2
        	+- HashAggregate(keys=[ds1#39], functions=[merge_count(merge count#38L) AS count#38L], output=[ds1#39, count#38L])
           	+- HashAggregate(keys=[ds1 AS ds1#39], functions=[partial_count(1) AS count#38L], output=[ds1#39, count#38L])
              	+- Project
                 	+- MicroBatchScan[value#1] MemoryStreamDataSource

```

This PR disables foldable propagation across Streaming Aggregate/Join nodes in the logical plan.

### Why are the changes needed?

Changes are needed to ensure that Streaming queries with literal value for grouping key/join key produce correct results.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added `sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala` testcase.

```

[info] Run completed in 54 seconds, 150 milliseconds.
[info] Total number of tests run: 9
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 9, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.

```

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46035 from sahnib/SPARK-47840.

Authored-by: Bhuwan Sahni <bhuwan.sahni@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit f21719346eb0492cf9de47495853a4efad37dbab)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/catalyst/optimizer/expressions.scala  |  18 +-
 ...ingQueryOptimizationCorrectnessSuite.scala | 419 ++++++++++++++++++
 2 files changed, 435 insertions(+), 2 deletions(-)
 create mode 100644 sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
index d4f0f72c9352b..456d0da54de5f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
@@ -934,7 +934,14 @@ object FoldablePropagation extends Rule[LogicalPlan] {
         val newFoldableMap = collectFoldables(newProject.projectList)
         (newProject, newFoldableMap)
 
-      case a: Aggregate =>
+      // FoldablePropagation rule can produce incorrect optimized plan for streaming queries.
+      // This is because the optimizer can replace the grouping expressions, or join column
+      // with a literal value if the grouping key is constant for the micro-batch. However,
+      // as Streaming queries also read from the StateStore, this optimization also
+      // overwrites any keys read from State Store. We need to disable this optimization
+      // until we can make optimizer aware of Streaming state store. The State Store nodes
+      // are currently added in the Physical plan.
+      case a: Aggregate if !a.isStreaming =>
         val (newChild, foldableMap) = propagateFoldables(a.child)
         val newAggregate =
           replaceFoldable(a.withNewChildren(Seq(newChild)).asInstanceOf[Aggregate], foldableMap)
@@ -971,7 +978,14 @@ object FoldablePropagation extends Rule[LogicalPlan] {
       // propagating the foldable expressions.
       // TODO(cloud-fan): It seems more reasonable to use new attributes as the output attributes
       // of outer join.
-      case j: Join =>
+      // FoldablePropagation rule can produce incorrect optimized plan for streaming queries.
+      // This is because the optimizer can replace the grouping expressions, or join column
+      // with a literal value if the grouping key is constant for the micro-batch. However,
+      // as Streaming queries also read from the StateStore, this optimization also
+      // overwrites any keys read from State Store. We need to disable this optimization
+      // until we can make optimizer aware of Streaming state store. The State Store nodes
+      // are currently added in the Physical plan.
+      case j: Join if !j.left.isStreaming || !j.right.isStreaming =>
         val (newChildren, foldableMaps) = j.children.map(propagateFoldables).unzip
         val foldableMap = AttributeMap(
           foldableMaps.foldLeft(Iterable.empty[(Attribute, Alias)])(_ ++ _.baseMap.values))
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
new file mode 100644
index 0000000000000..efc84c8e4c7cf
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
@@ -0,0 +1,419 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.streaming
+
+import java.sql.Timestamp
+
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.execution.streaming.MemoryStream
+import org.apache.spark.sql.functions.{lit, window}
+
+/**
+ * This test ensures that any optimizations done by Spark SQL optimizer are
+ * correct for Streaming queries.
+ */
+class StreamingQueryOptimizationCorrectnessSuite extends StreamTest {
+  import testImplicits._
+
+  test("streaming Union with literal produces correct results") {
+    val inputStream1 = MemoryStream[Int]
+    val ds1 = inputStream1
+      .toDS()
+      .withColumn("name", lit("ds1"))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val inputStream2 = MemoryStream[Int]
+    val ds2 = inputStream2
+      .toDS()
+      .withColumn("name", lit("ds2"))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val result =
+      ds1.union(ds2)
+        .groupBy("name")
+        .count()
+
+    testStream(result, OutputMode.Complete())(
+      AddData(inputStream1, 1),
+      ProcessAllAvailable(),
+      AddData(inputStream2, 1),
+      ProcessAllAvailable(),
+      CheckNewAnswer(Row("ds1", 1), Row("ds2", 1))
+    )
+  }
+
+  test("streaming aggregate with literal and watermark after literal column" +
+    " produces correct results on query change") {
+    withTempDir { dir =>
+      val inputStream1 = MemoryStream[Timestamp]
+      val ds1 = inputStream1
+        .toDS()
+        .withColumn("name", lit("ds1"))
+        .withColumn("ts", $"value")
+        .withWatermark("ts", "1 minutes")
+        .select("name", "ts")
+
+      val result =
+        ds1.groupBy("name").count()
+
+      testStream(result, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-02 00:00:00")),
+        ProcessAllAvailable()
+      )
+
+      val ds2 = inputStream1
+        .toDS()
+        .withColumn("name", lit("ds2"))
+        .withColumn("ts", $"value")
+        .withWatermark("ts", "1 minutes")
+        .select("name", "ts")
+
+      val result2 =
+        ds2.groupBy("name").count()
+
+      testStream(result2, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-03 00:00:00")),
+        ProcessAllAvailable(),
+        CheckNewAnswer(Row("ds1", 1), Row("ds2", 1)),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-04 00:00:00")),
+        ProcessAllAvailable(),
+        CheckNewAnswer(Row("ds1", 1), Row("ds2", 2))
+      )
+    }
+  }
+
+  test("streaming aggregate with literal and watermark before literal column" +
+    " produces correct results on query change") {
+    withTempDir { dir =>
+      val inputStream1 = MemoryStream[Timestamp]
+      val ds1 = inputStream1
+        .toDS()
+        .withColumn("ts", $"value")
+        .withWatermark("ts", "1 minutes")
+        .withColumn("name", lit("ds1"))
+        .select("name", "ts")
+
+      val result =
+        ds1.groupBy("name").count()
+
+      testStream(result, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-02 00:00:00")),
+        ProcessAllAvailable()
+      )
+
+      val ds2 = inputStream1
+        .toDS()
+        .withColumn("ts", $"value")
+        .withWatermark("ts", "1 minutes")
+        .withColumn("name", lit("ds2"))
+        .select("name", "ts")
+
+      val result2 =
+        ds2.groupBy("name").count()
+
+      testStream(result2, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-03 00:00:00")),
+        ProcessAllAvailable(),
+        CheckNewAnswer(Row("ds1", 1), Row("ds2", 1)),
+        AddData(inputStream1, Timestamp.valueOf("2023-01-04 00:00:00")),
+        ProcessAllAvailable(),
+        CheckNewAnswer(Row("ds1", 1), Row("ds2", 2))
+      )
+    }
+  }
+
+  test("streaming aggregate with literal" +
+    " produces correct results on query change") {
+    withTempDir { dir =>
+      val inputStream1 = MemoryStream[Int]
+      val ds1 = inputStream1
+        .toDS()
+        .withColumn("name", lit("ds1"))
+        .withColumn("count", $"value")
+        .select("name", "count")
+
+      val result =
+        ds1.groupBy("name").count()
+
+      testStream(result, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, 1),
+        ProcessAllAvailable()
+      )
+
+      val ds2 = inputStream1
+        .toDS()
+        .withColumn("name", lit("ds2"))
+        .withColumn("count", $"value")
+        .select("name", "count")
+
+      val result2 =
+        ds2.groupBy("name").count()
+
+      testStream(result2, OutputMode.Complete())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, 1),
+        ProcessAllAvailable(),
+        CheckNewAnswer(Row("ds1", 1), Row("ds2", 1))
+      )
+    }
+  }
+
+  test("stream stream join with literal" +
+    " produces correct results") {
+    withTempDir { dir =>
+      import java.sql.Timestamp
+      val inputStream1 = MemoryStream[Int]
+      val inputStream2 = MemoryStream[Int]
+
+      val ds1 = inputStream1
+        .toDS()
+        .withColumn("name", lit(Timestamp.valueOf("2023-01-01 00:00:00")))
+        .withWatermark("name", "1 minutes")
+        .withColumn("count1", lit(1))
+
+      val ds2 = inputStream2
+        .toDS()
+        .withColumn("name", lit(Timestamp.valueOf("2023-01-02 00:00:00")))
+        .withWatermark("name", "1 minutes")
+        .withColumn("count2", lit(2))
+
+
+      val result =
+        ds1.join(ds2, "name", "full")
+          .select("name", "count1", "count2")
+
+      testStream(result, OutputMode.Append())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, 1),
+        ProcessAllAvailable(),
+        AddData(inputStream2, 1),
+        ProcessAllAvailable(),
+        AddData(inputStream1, 2),
+        ProcessAllAvailable(),
+        AddData(inputStream2, 2),
+        ProcessAllAvailable(),
+        CheckNewAnswer()
+      )
+
+      // modify the query and update literal values for name
+      val ds3 = inputStream1
+        .toDS()
+        .withColumn("name", lit(Timestamp.valueOf("2023-02-01 00:00:00")))
+        .withWatermark("name", "1 minutes")
+        .withColumn("count1", lit(3))
+
+      val ds4 = inputStream2
+        .toDS()
+        .withColumn("name", lit(Timestamp.valueOf("2023-02-02 00:00:00")))
+        .withWatermark("name", "1 minutes")
+        .withColumn("count2", lit(4))
+
+      val result2 =
+        ds3.join(ds4, "name", "full")
+          .select("name", "count1", "count2")
+
+      testStream(result2, OutputMode.Append())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(inputStream1, 1),
+        ProcessAllAvailable(),
+        AddData(inputStream2, 1),
+        ProcessAllAvailable(),
+        AddData(inputStream1, 2),
+        ProcessAllAvailable(),
+        AddData(inputStream2, 2),
+        ProcessAllAvailable(),
+        CheckNewAnswer(
+          Row(Timestamp.valueOf("2023-01-01 00:00:00"),
+            1, null.asInstanceOf[java.lang.Integer]),
+          Row(Timestamp.valueOf("2023-01-01 00:00:00"),
+            1, null.asInstanceOf[java.lang.Integer]),
+          Row(Timestamp.valueOf("2023-01-02 00:00:00"),
+            null.asInstanceOf[java.lang.Integer], 2),
+          Row(Timestamp.valueOf("2023-01-02 00:00:00"),
+            null.asInstanceOf[java.lang.Integer], 2)
+        )
+      )
+    }
+  }
+
+  test("streaming SQL distinct usage with literal grouping" +
+    " key produces correct results") {
+    val inputStream1 = MemoryStream[Int]
+    val ds1 = inputStream1
+      .toDS()
+      .withColumn("name", lit("ds1"))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val inputStream2 = MemoryStream[Int]
+    val ds2 = inputStream2
+      .toDS()
+      .withColumn("name", lit("ds2"))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val result =
+      ds1.union(ds2)
+        .groupBy("name")
+        .as[String, (String, Int, Int)]
+        .keys
+
+    testStream(result, OutputMode.Complete())(
+      AddData(inputStream1, 1),
+      ProcessAllAvailable(),
+      AddData(inputStream2, 1),
+      ProcessAllAvailable(),
+      CheckNewAnswer(Row("ds1"), Row("ds2"))
+    )
+  }
+
+  test("streaming window aggregation with literal time column" +
+    " key produces correct results") {
+    val inputStream1 = MemoryStream[Int]
+    val ds1 = inputStream1
+      .toDS()
+      .withColumn("name", lit(Timestamp.valueOf("2023-01-01 00:00:00")))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val inputStream2 = MemoryStream[Int]
+    val ds2 = inputStream2
+      .toDS()
+      .withColumn("name", lit(Timestamp.valueOf("2023-01-02 00:00:00")))
+      .withColumn("count", $"value")
+      .select("name", "count")
+
+    val result =
+      ds1.union(ds2)
+        .groupBy(
+          window($"name", "1 second", "1 second")
+        )
+        .count()
+
+    testStream(result, OutputMode.Complete())(
+      AddData(inputStream1, 1),
+      ProcessAllAvailable(),
+      AddData(inputStream2, 1),
+      ProcessAllAvailable(),
+      CheckNewAnswer(
+        Row(
+          Row(Timestamp.valueOf("2023-01-01 00:00:00"), Timestamp.valueOf("2023-01-01 00:00:01")),
+          1),
+        Row(
+          Row(Timestamp.valueOf("2023-01-02 00:00:00"), Timestamp.valueOf("2023-01-02 00:00:01")),
+          1))
+    )
+  }
+
+  test("stream stream join with literals produces correct value") {
+    withTempDir { dir =>
+      val input1 = MemoryStream[Int]
+      val input2 = MemoryStream[Int]
+
+      val df1 = input1
+        .toDF()
+        .withColumn("key", $"value")
+        .withColumn("leftValue", lit(1))
+        .select("key", "leftValue")
+
+      val df2 = input2
+        .toDF()
+        .withColumn("key", $"value")
+        .withColumn("rightValue", lit(2))
+        .select("key", "rightValue")
+
+      val result = df1
+        .join(df2, "key")
+        .select("key", "leftValue", "rightValue")
+
+      testStream(result, OutputMode.Append())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(input1, 1),
+        ProcessAllAvailable(),
+        AddData(input2, 1),
+        ProcessAllAvailable(),
+        CheckAnswer(Row(1, 1, 2))
+      )
+    }
+  }
+
+  test("stream stream join with literals produces correct value on query change") {
+    withTempDir { dir =>
+      val input1 = MemoryStream[Int]
+      val input2 = MemoryStream[Int]
+
+      val df1 = input1
+        .toDF()
+        .withColumn("key", lit("key1"))
+        .withColumn("leftValue", lit(1))
+        .select("key", "leftValue")
+
+      val df2 = input2
+        .toDF()
+        .withColumn("key", lit("key2"))
+        .withColumn("rightValue", lit(2))
+        .select("key", "rightValue")
+
+      val result = df1
+        .join(df2, "key")
+        .select("key", "leftValue", "rightValue")
+
+      testStream(result, OutputMode.Append())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(input1, 1),
+        ProcessAllAvailable(),
+        AddData(input2, 1),
+        ProcessAllAvailable()
+      )
+
+      val df3 = input1
+        .toDF()
+        .withColumn("key", lit("key2"))
+        .withColumn("leftValue", lit(3))
+        .select("key", "leftValue")
+
+      val df4 = input2
+        .toDF()
+        .withColumn("key", lit("key1"))
+        .withColumn("rightValue", lit(4))
+        .select("key", "rightValue")
+
+      val result2 = df3
+        .join(df4, "key")
+        .select("key", "leftValue", "rightValue")
+
+      testStream(result2, OutputMode.Append())(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+        AddData(input1, 1),
+        ProcessAllAvailable(),
+        AddData(input2, 1),
+        ProcessAllAvailable(),
+        CheckAnswer(
+          Row("key1", 1, 4),
+          Row("key2", 3, 2))
+      )
+    }
+  }
+}

From d54f24cf3c3dc8107fc143d47f7c61edb3ebdc32 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 15 Apr 2024 20:39:32 -0700
Subject: [PATCH 659/986] [SPARK-46335][BUILD][3.5] Upgrade Maven to 3.9.6

### What changes were proposed in this pull request?

This PR aims to upgrade `Apache Maven` to 3.9.6 for Apache Spark 3.5.2+

This is a backport of the following PR. `Apache Maven 3.9.6` has been used over 4 months in `master` branch.
- #44267

### Why are the changes needed?

To bring the latest bug fixes,

- https://maven.apache.org/docs/3.9.0/release-notes.html
- https://maven.apache.org/docs/3.9.1/release-notes.html
- https://maven.apache.org/docs/3.9.2/release-notes.html
- https://maven.apache.org/docs/3.9.3/release-notes.html
- https://maven.apache.org/docs/3.9.5/release-notes.html
- https://maven.apache.org/docs/3.9.6/release-notes.html

### Does this PR introduce _any_ user-facing change?

No because this is a build time change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46069 from dongjoon-hyun/SPARK-46335.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/appveyor-install-dependencies.ps1 | 2 +-
 docs/building-spark.md                | 2 +-
 pom.xml                               | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/dev/appveyor-install-dependencies.ps1 b/dev/appveyor-install-dependencies.ps1
index 3737382eb86e2..792a9aa4e9793 100644
--- a/dev/appveyor-install-dependencies.ps1
+++ b/dev/appveyor-install-dependencies.ps1
@@ -81,7 +81,7 @@ if (!(Test-Path $tools)) {
 # ========================== Maven
 # Push-Location $tools
 #
-# $mavenVer = "3.8.8"
+# $mavenVer = "3.9.6"
 # Start-FileDownload "https://archive.apache.org/dist/maven/maven-3/$mavenVer/binaries/apache-maven-$mavenVer-bin.zip" "maven.zip"
 #
 # # extract
diff --git a/docs/building-spark.md b/docs/building-spark.md
index 33d253a49dbf3..4f626b4ff58c8 100644
--- a/docs/building-spark.md
+++ b/docs/building-spark.md
@@ -27,7 +27,7 @@ license: |
 ## Apache Maven
 
 The Maven-based build is the build of reference for Apache Spark.
-Building Spark using Maven requires Maven 3.8.8 and Java 8/11/17.
+Building Spark using Maven requires Maven 3.9.6 and Java 8/11/17.
 Spark requires Scala 2.12/2.13; support for Scala 2.11 was removed in Spark 3.0.0.
 
 ### Setting up Maven's Memory Usage
diff --git a/pom.xml b/pom.xml
index 34cbefbeb3f7d..6bb764e0c28c2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -115,7 +115,7 @@
     <java.version>1.8</java.version>
     <maven.compiler.source>${java.version}</maven.compiler.source>
     <maven.compiler.target>${java.version}</maven.compiler.target>
-    <maven.version>3.8.8</maven.version>
+    <maven.version>3.9.6</maven.version>
     <exec-maven-plugin.version>3.1.0</exec-maven-plugin.version>
     <sbt.project.name>spark</sbt.project.name>
     <asm.version>9.5</asm.version>

From 7aea21eae377321633d3eeeeddd34898e9a5ea43 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 18 Apr 2024 16:33:47 +0800
Subject: [PATCH 660/986] [SPARK-47895][SQL] group by all should be idempotent

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/43797 . GROUP BY ALL has the same bug and this PR applies the same fix to GROUP BY ALL

### Why are the changes needed?

For advanced users or Spark plugins, they may manipulate the logical plans directly. We need to make the framework more reliable.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46113 from cloud-fan/group-all.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit b5bb75ca240a98ae5651e5cb429fd4bd31b7bb8a)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../ResolveReferencesInAggregate.scala         | 16 ++++++++++++++--
 .../SubstituteUnresolvedOrdinalsSuite.scala    | 18 ++++++++++++++++++
 2 files changed, 32 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInAggregate.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInAggregate.scala
index 09ae87b071fdd..a03d5438ff6aa 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInAggregate.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveReferencesInAggregate.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.analysis
 
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.SQLConfHelper
-import org.apache.spark.sql.catalyst.expressions.{AliasHelper, Attribute, Expression, NamedExpression}
+import org.apache.spark.sql.catalyst.expressions.{AliasHelper, Attribute, Expression, IntegerLiteral, Literal, NamedExpression}
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, AppendColumns, LogicalPlan}
 import org.apache.spark.sql.catalyst.trees.TreePattern.{LATERAL_COLUMN_ALIAS_REFERENCE, UNRESOLVED_ATTRIBUTE}
@@ -134,7 +134,19 @@ object ResolveReferencesInAggregate extends SQLConfHelper
         groupExprs
       } else {
         // This is a valid GROUP BY ALL aggregate.
-        expandedGroupExprs.get
+        expandedGroupExprs.get.zipWithIndex.map { case (expr, index) =>
+          trimAliases(expr) match {
+            // HACK ALERT: If the expanded grouping expression is an integer literal, don't use it
+            //             but use an integer literal of the index. The reason is we may repeatedly
+            //             analyze the plan, and the original integer literal may cause failures
+            //             with a later GROUP BY ordinal resolution. GROUP BY constant is
+            //             meaningless so whatever value does not matter here.
+            case IntegerLiteral(_) =>
+              // GROUP BY ordinal uses 1-based index.
+              Literal(index + 1)
+            case _ => expr
+          }
+        }
       }
     } else {
       groupExprs
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
index 953b2c8bb1011..39cf298aec434 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinalsSuite.scala
@@ -86,4 +86,22 @@ class SubstituteUnresolvedOrdinalsSuite extends AnalysisTest {
       testRelationWithData.groupBy(Literal(1))(Literal(100).as("a"))
     )
   }
+
+  test("SPARK-47895: group by all repeated analysis") {
+    val plan = testRelation.groupBy($"all")(Literal(100).as("a")).analyze
+    comparePlans(
+      plan,
+      testRelation.groupBy(Literal(1))(Literal(100).as("a"))
+    )
+
+    val testRelationWithData = testRelation.copy(data = Seq(new GenericInternalRow(Array(1: Any))))
+    // Copy the plan to reset its `analyzed` flag, so that analyzer rules will re-apply.
+    val copiedPlan = plan.transform {
+      case _: LocalRelation => testRelationWithData
+    }
+    comparePlans(
+      copiedPlan.analyze, // repeated analysis
+      testRelationWithData.groupBy(Literal(1))(Literal(100).as("a"))
+    )
+  }
 }

From e439e29a7bf10ffccf68b2ec11f6e1e06e747d06 Mon Sep 17 00:00:00 2001
From: Zhen Wang <643348094@qq.com>
Date: Thu, 18 Apr 2024 21:24:10 +0800
Subject: [PATCH 661/986] [SPARK-47463][SQL][3.5] Use V2Predicate to wrap
 expression with return type of boolean

Backports #45589 to 3.5

### What changes were proposed in this pull request?

Use V2Predicate to wrap If expr when building v2 expressions.

### Why are the changes needed?

The `PushFoldableIntoBranches` optimizer may fold predicate into (if / case) branches and `V2ExpressionBuilder` wraps `If` as `GeneralScalarExpression`, which causes the assertion in `PushablePredicate.unapply` to fail.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

added unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46074 from wForget/SPARK-47463_3.5.

Authored-by: Zhen Wang <643348094@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/util/V2ExpressionBuilder.scala   | 159 ++++++++++--------
 .../sql/connector/DataSourceV2Suite.scala     |  10 ++
 2 files changed, 97 insertions(+), 72 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
index 947a5e9f383f9..c7bca751e56e4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
@@ -23,7 +23,7 @@ import org.apache.spark.sql.connector.expressions.{Cast => V2Cast, Expression =>
 import org.apache.spark.sql.connector.expressions.aggregate.{AggregateFunc, Avg, Count, CountStar, GeneralAggregateFunc, Max, Min, Sum, UserDefinedAggregateFunc}
 import org.apache.spark.sql.connector.expressions.filter.{AlwaysFalse, AlwaysTrue, And => V2And, Not => V2Not, Or => V2Or, Predicate => V2Predicate}
 import org.apache.spark.sql.execution.datasources.PushableExpression
-import org.apache.spark.sql.types.{BooleanType, IntegerType, StringType}
+import org.apache.spark.sql.types.{BooleanType, DataType, IntegerType, StringType}
 
 /**
  * The builder to generate V2 expressions from catalyst expressions.
@@ -96,45 +96,45 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
       generateExpression(child).map(v => new V2Cast(v, dataType))
     case AggregateExpression(aggregateFunction, Complete, isDistinct, None, _) =>
       generateAggregateFunc(aggregateFunction, isDistinct)
-    case Abs(child, true) => generateExpressionWithName("ABS", Seq(child))
-    case Coalesce(children) => generateExpressionWithName("COALESCE", children)
-    case Greatest(children) => generateExpressionWithName("GREATEST", children)
-    case Least(children) => generateExpressionWithName("LEAST", children)
-    case Rand(child, hideSeed) =>
+    case Abs(_, true) => generateExpressionWithName("ABS", expr, isPredicate)
+    case _: Coalesce => generateExpressionWithName("COALESCE", expr, isPredicate)
+    case _: Greatest => generateExpressionWithName("GREATEST", expr, isPredicate)
+    case _: Least => generateExpressionWithName("LEAST", expr, isPredicate)
+    case Rand(_, hideSeed) =>
       if (hideSeed) {
         Some(new GeneralScalarExpression("RAND", Array.empty[V2Expression]))
       } else {
-        generateExpressionWithName("RAND", Seq(child))
+        generateExpressionWithName("RAND", expr, isPredicate)
       }
-    case log: Logarithm => generateExpressionWithName("LOG", log.children)
-    case Log10(child) => generateExpressionWithName("LOG10", Seq(child))
-    case Log2(child) => generateExpressionWithName("LOG2", Seq(child))
-    case Log(child) => generateExpressionWithName("LN", Seq(child))
-    case Exp(child) => generateExpressionWithName("EXP", Seq(child))
-    case pow: Pow => generateExpressionWithName("POWER", pow.children)
-    case Sqrt(child) => generateExpressionWithName("SQRT", Seq(child))
-    case Floor(child) => generateExpressionWithName("FLOOR", Seq(child))
-    case Ceil(child) => generateExpressionWithName("CEIL", Seq(child))
-    case round: Round => generateExpressionWithName("ROUND", round.children)
-    case Sin(child) => generateExpressionWithName("SIN", Seq(child))
-    case Sinh(child) => generateExpressionWithName("SINH", Seq(child))
-    case Cos(child) => generateExpressionWithName("COS", Seq(child))
-    case Cosh(child) => generateExpressionWithName("COSH", Seq(child))
-    case Tan(child) => generateExpressionWithName("TAN", Seq(child))
-    case Tanh(child) => generateExpressionWithName("TANH", Seq(child))
-    case Cot(child) => generateExpressionWithName("COT", Seq(child))
-    case Asin(child) => generateExpressionWithName("ASIN", Seq(child))
-    case Asinh(child) => generateExpressionWithName("ASINH", Seq(child))
-    case Acos(child) => generateExpressionWithName("ACOS", Seq(child))
-    case Acosh(child) => generateExpressionWithName("ACOSH", Seq(child))
-    case Atan(child) => generateExpressionWithName("ATAN", Seq(child))
-    case Atanh(child) => generateExpressionWithName("ATANH", Seq(child))
-    case atan2: Atan2 => generateExpressionWithName("ATAN2", atan2.children)
-    case Cbrt(child) => generateExpressionWithName("CBRT", Seq(child))
-    case ToDegrees(child) => generateExpressionWithName("DEGREES", Seq(child))
-    case ToRadians(child) => generateExpressionWithName("RADIANS", Seq(child))
-    case Signum(child) => generateExpressionWithName("SIGN", Seq(child))
-    case wb: WidthBucket => generateExpressionWithName("WIDTH_BUCKET", wb.children)
+    case _: Logarithm => generateExpressionWithName("LOG", expr, isPredicate)
+    case _: Log10 => generateExpressionWithName("LOG10", expr, isPredicate)
+    case _: Log2 => generateExpressionWithName("LOG2", expr, isPredicate)
+    case _: Log => generateExpressionWithName("LN", expr, isPredicate)
+    case _: Exp => generateExpressionWithName("EXP", expr, isPredicate)
+    case _: Pow => generateExpressionWithName("POWER", expr, isPredicate)
+    case _: Sqrt => generateExpressionWithName("SQRT", expr, isPredicate)
+    case _: Floor => generateExpressionWithName("FLOOR", expr, isPredicate)
+    case _: Ceil => generateExpressionWithName("CEIL", expr, isPredicate)
+    case _: Round => generateExpressionWithName("ROUND", expr, isPredicate)
+    case _: Sin => generateExpressionWithName("SIN", expr, isPredicate)
+    case _: Sinh => generateExpressionWithName("SINH", expr, isPredicate)
+    case _: Cos => generateExpressionWithName("COS", expr, isPredicate)
+    case _: Cosh => generateExpressionWithName("COSH", expr, isPredicate)
+    case _: Tan => generateExpressionWithName("TAN", expr, isPredicate)
+    case _: Tanh => generateExpressionWithName("TANH", expr, isPredicate)
+    case _: Cot => generateExpressionWithName("COT", expr, isPredicate)
+    case _: Asin => generateExpressionWithName("ASIN", expr, isPredicate)
+    case _: Asinh => generateExpressionWithName("ASINH", expr, isPredicate)
+    case _: Acos => generateExpressionWithName("ACOS", expr, isPredicate)
+    case _: Acosh => generateExpressionWithName("ACOSH", expr, isPredicate)
+    case _: Atan => generateExpressionWithName("ATAN", expr, isPredicate)
+    case _: Atanh => generateExpressionWithName("ATANH", expr, isPredicate)
+    case _: Atan2 => generateExpressionWithName("ATAN2", expr, isPredicate)
+    case _: Cbrt => generateExpressionWithName("CBRT", expr, isPredicate)
+    case _: ToDegrees => generateExpressionWithName("DEGREES", expr, isPredicate)
+    case _: ToRadians => generateExpressionWithName("RADIANS", expr, isPredicate)
+    case _: Signum => generateExpressionWithName("SIGN", expr, isPredicate)
+    case _: WidthBucket => generateExpressionWithName("WIDTH_BUCKET", expr, isPredicate)
     case and: And =>
       // AND expects predicate
       val l = generateExpression(and.left, true)
@@ -185,57 +185,56 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
         assert(v.isInstanceOf[V2Predicate])
         new V2Not(v.asInstanceOf[V2Predicate])
       }
-    case UnaryMinus(child, true) => generateExpressionWithName("-", Seq(child))
-    case BitwiseNot(child) => generateExpressionWithName("~", Seq(child))
-    case CaseWhen(branches, elseValue) =>
+    case UnaryMinus(_, true) => generateExpressionWithName("-", expr, isPredicate)
+    case _: BitwiseNot => generateExpressionWithName("~", expr, isPredicate)
+    case caseWhen @ CaseWhen(branches, elseValue) =>
       val conditions = branches.map(_._1).flatMap(generateExpression(_, true))
-      val values = branches.map(_._2).flatMap(generateExpression(_, true))
-      if (conditions.length == branches.length && values.length == branches.length) {
+      val values = branches.map(_._2).flatMap(generateExpression(_))
+      val elseExprOpt = elseValue.flatMap(generateExpression(_))
+      if (conditions.length == branches.length && values.length == branches.length &&
+          elseExprOpt.size == elseValue.size) {
         val branchExpressions = conditions.zip(values).flatMap { case (c, v) =>
           Seq[V2Expression](c, v)
         }
-        if (elseValue.isDefined) {
-          elseValue.flatMap(generateExpression(_)).map { v =>
-            val children = (branchExpressions :+ v).toArray[V2Expression]
-            // The children looks like [condition1, value1, ..., conditionN, valueN, elseValue]
-            new V2Predicate("CASE_WHEN", children)
-          }
+        val children = (branchExpressions ++ elseExprOpt).toArray[V2Expression]
+        // The children looks like [condition1, value1, ..., conditionN, valueN (, elseValue)]
+        if (isPredicate && caseWhen.dataType.isInstanceOf[BooleanType]) {
+          Some(new V2Predicate("CASE_WHEN", children))
         } else {
-          // The children looks like [condition1, value1, ..., conditionN, valueN]
-          Some(new V2Predicate("CASE_WHEN", branchExpressions.toArray[V2Expression]))
+          Some(new GeneralScalarExpression("CASE_WHEN", children))
         }
       } else {
         None
       }
-    case iff: If => generateExpressionWithName("CASE_WHEN", iff.children)
+    case _: If => generateExpressionWithName("CASE_WHEN", expr, isPredicate)
     case substring: Substring =>
       val children = if (substring.len == Literal(Integer.MAX_VALUE)) {
         Seq(substring.str, substring.pos)
       } else {
         substring.children
       }
-      generateExpressionWithName("SUBSTRING", children)
-    case Upper(child) => generateExpressionWithName("UPPER", Seq(child))
-    case Lower(child) => generateExpressionWithName("LOWER", Seq(child))
+      generateExpressionWithNameByChildren("SUBSTRING", children, substring.dataType, isPredicate)
+    case _: Upper => generateExpressionWithName("UPPER", expr, isPredicate)
+    case _: Lower => generateExpressionWithName("LOWER", expr, isPredicate)
     case BitLength(child) if child.dataType.isInstanceOf[StringType] =>
-      generateExpressionWithName("BIT_LENGTH", Seq(child))
+      generateExpressionWithName("BIT_LENGTH", expr, isPredicate)
     case Length(child) if child.dataType.isInstanceOf[StringType] =>
-      generateExpressionWithName("CHAR_LENGTH", Seq(child))
-    case concat: Concat => generateExpressionWithName("CONCAT", concat.children)
-    case translate: StringTranslate => generateExpressionWithName("TRANSLATE", translate.children)
-    case trim: StringTrim => generateExpressionWithName("TRIM", trim.children)
-    case trim: StringTrimLeft => generateExpressionWithName("LTRIM", trim.children)
-    case trim: StringTrimRight => generateExpressionWithName("RTRIM", trim.children)
+      generateExpressionWithName("CHAR_LENGTH", expr, isPredicate)
+    case _: Concat => generateExpressionWithName("CONCAT", expr, isPredicate)
+    case _: StringTranslate => generateExpressionWithName("TRANSLATE", expr, isPredicate)
+    case _: StringTrim => generateExpressionWithName("TRIM", expr, isPredicate)
+    case _: StringTrimLeft => generateExpressionWithName("LTRIM", expr, isPredicate)
+    case _: StringTrimRight => generateExpressionWithName("RTRIM", expr, isPredicate)
     case overlay: Overlay =>
       val children = if (overlay.len == Literal(-1)) {
         Seq(overlay.input, overlay.replace, overlay.pos)
       } else {
         overlay.children
       }
-      generateExpressionWithName("OVERLAY", children)
-    case date: DateAdd => generateExpressionWithName("DATE_ADD", date.children)
-    case date: DateDiff => generateExpressionWithName("DATE_DIFF", date.children)
-    case date: TruncDate => generateExpressionWithName("TRUNC", date.children)
+      generateExpressionWithNameByChildren("OVERLAY", children, overlay.dataType, isPredicate)
+    case _: DateAdd => generateExpressionWithName("DATE_ADD", expr, isPredicate)
+    case _: DateDiff => generateExpressionWithName("DATE_DIFF", expr, isPredicate)
+    case _: TruncDate => generateExpressionWithName("TRUNC", expr, isPredicate)
     case Second(child, _) =>
       generateExpression(child).map(v => new V2Extract("SECOND", v))
     case Minute(child, _) =>
@@ -268,12 +267,12 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
       generateExpression(child).map(v => new V2Extract("WEEK", v))
     case YearOfWeek(child) =>
       generateExpression(child).map(v => new V2Extract("YEAR_OF_WEEK", v))
-    case encrypt: AesEncrypt => generateExpressionWithName("AES_ENCRYPT", encrypt.children)
-    case decrypt: AesDecrypt => generateExpressionWithName("AES_DECRYPT", decrypt.children)
-    case Crc32(child) => generateExpressionWithName("CRC32", Seq(child))
-    case Md5(child) => generateExpressionWithName("MD5", Seq(child))
-    case Sha1(child) => generateExpressionWithName("SHA1", Seq(child))
-    case sha2: Sha2 => generateExpressionWithName("SHA2", sha2.children)
+    case _: AesEncrypt => generateExpressionWithName("AES_ENCRYPT", expr, isPredicate)
+    case _: AesDecrypt => generateExpressionWithName("AES_DECRYPT", expr, isPredicate)
+    case _: Crc32 => generateExpressionWithName("CRC32", expr, isPredicate)
+    case _: Md5 => generateExpressionWithName("MD5", expr, isPredicate)
+    case _: Sha1 => generateExpressionWithName("SHA1", expr, isPredicate)
+    case _: Sha2 => generateExpressionWithName("SHA2", expr, isPredicate)
     // TODO supports other expressions
     case ApplyFunctionExpression(function, children) =>
       val childrenExpressions = children.flatMap(generateExpression(_))
@@ -345,10 +344,26 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
   }
 
   private def generateExpressionWithName(
-      v2ExpressionName: String, children: Seq[Expression]): Option[V2Expression] = {
+      v2ExpressionName: String,
+      expr: Expression,
+      isPredicate: Boolean): Option[V2Expression] = {
+    generateExpressionWithNameByChildren(
+      v2ExpressionName, expr.children, expr.dataType, isPredicate)
+  }
+
+  private def generateExpressionWithNameByChildren(
+      v2ExpressionName: String,
+      children: Seq[Expression],
+      dataType: DataType,
+      isPredicate: Boolean): Option[V2Expression] = {
     val childrenExpressions = children.flatMap(generateExpression(_))
     if (childrenExpressions.length == children.length) {
-      Some(new GeneralScalarExpression(v2ExpressionName, childrenExpressions.toArray[V2Expression]))
+      if (isPredicate && dataType.isInstanceOf[BooleanType]) {
+        Some(new V2Predicate(v2ExpressionName, childrenExpressions.toArray[V2Expression]))
+      } else {
+        Some(new GeneralScalarExpression(
+          v2ExpressionName, childrenExpressions.toArray[V2Expression]))
+      }
     } else {
       None
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
index 52d0151ee4623..d269290e6162d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
@@ -626,6 +626,16 @@ class DataSourceV2Suite extends QueryTest with SharedSparkSession with AdaptiveS
       }
     }
   }
+
+  test("SPARK-47463: Pushed down v2 filter with if expression") {
+    withTempView("t1") {
+      spark.read.format(classOf[AdvancedDataSourceV2WithV2Filter].getName).load()
+        .createTempView("t1")
+      val df = sql("SELECT * FROM  t1 WHERE if(i = 1, i, 0) > 0")
+      val result = df.collect()
+      assert(result.length == 1)
+    }
+  }
 }
 
 

From afd99d19a2b85dda2245d3557506d1090187c5f4 Mon Sep 17 00:00:00 2001
From: Zhen Wang <643348094@qq.com>
Date: Fri, 19 Apr 2024 10:53:16 +0800
Subject: [PATCH 662/986] [SPARK-47897][SQL][3.5] Fix ExpressionSet performance
 regression in scala 2.12

### What changes were proposed in this pull request?

Fix `ExpressionSet` performance regression in scala 2.12.

### Why are the changes needed?

The implementation of the `SetLike.++` method in scala 2.12 is to iteratively execute the `+` method. The `ExpressionSet.+` method first clones a new object and then adds element, which is very expensive.

https://github.com/scala/scala/blob/ceaf7e68ac93e9bbe8642d06164714b2de709c27/src/library/scala/collection/SetLike.scala#L186

After https://github.com/apache/spark/pull/36121, the `++` and `--` methods in ExpressionSet of scala 2.12 were removed, causing performance regression.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

Benchmark code:

```
object TestBenchmark {
  def main(args: Array[String]): Unit = {
    val count = 300
    val benchmark = new Benchmark("Test ExpressionSetV2 ++ ", count)
    val aUpper = AttributeReference("A", IntegerType)(exprId = ExprId(1))

    var initialSet = ExpressionSet((0 until 300).map(i => aUpper + i))
    val setToAddWithSameDeterministicExpression = ExpressionSet((0 until 300).map(i => aUpper + i))

    benchmark.addCase("Test ++", 10) { _: Int =>
      for (_ <- 0L until count) {
        initialSet ++= setToAddWithSameDeterministicExpression
      }
    }
    benchmark.run()
  }
}
```

before this change:

```
OpenJDK 64-Bit Server VM 1.8.0_222-b10 on Linux 3.10.0-957.el7.x86_64
Intel Core Processor (Skylake, IBRS)
Test ExpressionSetV2 ++ :                 Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
------------------------------------------------------------------------------------------------------------------------
Test ++                                            1577           1691          61          0.0     5255516.0       1.0X
```

after this change:

```
OpenJDK 64-Bit Server VM 1.8.0_222-b10 on Linux 3.10.0-957.el7.x86_64
Intel Core Processor (Skylake, IBRS)
Test ExpressionSetV2 ++ :                 Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
------------------------------------------------------------------------------------------------------------------------
Test ++                                              14             14           0          0.0       45395.2       1.0X
```

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46114 from wForget/SPARK-47897.

Authored-by: Zhen Wang <643348094@qq.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../catalyst/expressions/ExpressionSet.scala  | 21 ++++++++++++++++++-
 1 file changed, 20 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/expressions/ExpressionSet.scala b/sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/expressions/ExpressionSet.scala
index 3e545f745baee..c18679330f3a4 100644
--- a/sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/expressions/ExpressionSet.scala
+++ b/sql/catalyst/src/main/scala-2.12/org/apache/spark/sql/catalyst/expressions/ExpressionSet.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.catalyst.expressions
 
-import scala.collection.mutable
+import scala.collection.{mutable, GenTraversableOnce}
 import scala.collection.mutable.ArrayBuffer
 
 object ExpressionSet {
@@ -108,12 +108,31 @@ class ExpressionSet protected(
     newSet
   }
 
+  /**
+   * SPARK-47897: In Scala 2.12, the `SetLike.++` method iteratively calls `+` method.
+   * `ExpressionSet.+` is expensive, so we override `++`.
+   */
+  override def ++(elems: GenTraversableOnce[Expression]): ExpressionSet = {
+    val newSet = clone()
+    elems.foreach(newSet.add)
+    newSet
+  }
+
   override def -(elem: Expression): ExpressionSet = {
     val newSet = clone()
     newSet.remove(elem)
     newSet
   }
 
+  /**
+   * SPARK-47897: We need to override `--` like `++`.
+   */
+  override def --(elems: GenTraversableOnce[Expression]): ExpressionSet = {
+    val newSet = clone()
+    elems.foreach(newSet.remove)
+    newSet
+  }
+
   def map(f: Expression => Expression): ExpressionSet = {
     val newSet = new ExpressionSet()
     this.iterator.foreach(elem => newSet.add(f(elem)))

From 6a358ff7d6334eef49cb5abb0b247f42dfe2de67 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Fri, 19 Apr 2024 08:39:37 -0700
Subject: [PATCH 663/986] [SPARK-47825][DSTREAMS][3.5] Make `KinesisTestUtils`
 & `WriteInputFormatTestDataGenerator` deprecated

### What changes were proposed in this pull request?
The pr aims to make `KinesisTestUtils` & `WriteInputFormatTestDataGenerator` deprecated
Master pr: https://github.com/apache/spark/pull/46000

### Why are the changes needed?
Because these two classes will be moved from `main` to` test` in version `4.0`, we need to first `deprecate` them in version `3.5` to make them exit more naturally.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #46019 from panbingkun/branch-3.5_deprecated.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/api/python/WriteInputFormatTestDataGenerator.scala    | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/api/python/WriteInputFormatTestDataGenerator.scala b/core/src/main/scala/org/apache/spark/api/python/WriteInputFormatTestDataGenerator.scala
index d30e9c5e2ce61..692ae45a12f4d 100644
--- a/core/src/main/scala/org/apache/spark/api/python/WriteInputFormatTestDataGenerator.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/WriteInputFormatTestDataGenerator.scala
@@ -33,6 +33,7 @@ import org.apache.spark.errors.SparkCoreErrors
  * A class to test Pickle serialization on the Scala side, that will be deserialized
  * in Python
  */
+@deprecated("This class will be move to `test`.", "3.5.2")
 case class TestWritable(var str: String, var int: Int, var double: Double) extends Writable {
   def this() = this("", 0, 0.0)
 
@@ -104,6 +105,7 @@ private[python] class WritableToDoubleArrayConverter extends Converter[Any, Arra
  * This object contains method to generate SequenceFile test data and write it to a
  * given directory (probably a temp directory)
  */
+@deprecated("This class will be move to `test`.", "3.5.2")
 object WriteInputFormatTestDataGenerator {
 
   def main(args: Array[String]): Unit = {

From d7c3794a0c567b12e8c8e18132aa362f11acdf5f Mon Sep 17 00:00:00 2001
From: Ivan Sadikov <ivan.sadikov@databricks.com>
Date: Mon, 22 Apr 2024 15:36:13 -0700
Subject: [PATCH 664/986] [SPARK-47904][SQL][3.5] Preserve case in Avro schema
 when using enableStableIdentifiersForUnionType

### What changes were proposed in this pull request?

Backport of https://github.com/apache/spark/pull/46126 to branch-3.5.

When `enableStableIdentifiersForUnionType` is enabled, all of the types are lowercased which creates a problem when field types are case-sensitive:

Union type with fields:
```
Schema.createEnum("myENUM", "", null, List[String]("E1", "e2").asJava),
Schema.createRecord("myRecord2", "", null, false, List[Schema.Field](new Schema.Field("F", Schema.create(Type.FLOAT))).asJava)
```

would become

```
struct<member_myenum: string, member_myrecord2: struct<f: float>>
```

but instead should be
```
struct<member_myENUM: string, member_myRecord2: struct<F: float>>
```

### Why are the changes needed?

Fixes a bug of lowercasing the field name (the type portion).

### Does this PR introduce _any_ user-facing change?

Yes, if a user enables `enableStableIdentifiersForUnionType` and has Union types, all fields will preserve the case. Previously, the field names would be all in lowercase.

### How was this patch tested?

I added a test case to verify the new field names.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46169 from sadikovi/SPARK-47904-3.5.

Authored-by: Ivan Sadikov <ivan.sadikov@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/avro/SchemaConverters.scala     | 10 +++---
 .../org/apache/spark/sql/avro/AvroSuite.scala | 31 +++++++++++++++++--
 2 files changed, 34 insertions(+), 7 deletions(-)

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
index 06abe977e3b08..af358a8d1c961 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala
@@ -183,14 +183,14 @@ object SchemaConverters {
                   // Avro's field name may be case sensitive, so field names for two named type
                   // could be "a" and "A" and we need to distinguish them. In this case, we throw
                   // an exception.
-                  val temp_name = s"member_${s.getName.toLowerCase(Locale.ROOT)}"
-                  if (fieldNameSet.contains(temp_name)) {
+                  // Stable id prefix can be empty so the name of the field can be just the type.
+                  val tempFieldName = s"member_${s.getName}"
+                  if (!fieldNameSet.add(tempFieldName.toLowerCase(Locale.ROOT))) {
                     throw new IncompatibleSchemaException(
-                      "Cannot generate stable indentifier for Avro union type due to name " +
+                      "Cannot generate stable identifier for Avro union type due to name " +
                       s"conflict of type name ${s.getName}")
                   }
-                  fieldNameSet.add(temp_name)
-                  temp_name
+                  tempFieldName
                 } else {
                   s"member$i"
                 }
diff --git a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
index 1df99210a55ac..01c9dfb57a191 100644
--- a/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
+++ b/connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala
@@ -370,7 +370,7 @@ abstract class AvroSuite
           "",
           Seq())
       }
-      assert(e.getMessage.contains("Cannot generate stable indentifier"))
+      assert(e.getMessage.contains("Cannot generate stable identifier"))
     }
     {
       val e = intercept[Exception] {
@@ -381,7 +381,7 @@ abstract class AvroSuite
           "",
           Seq())
       }
-      assert(e.getMessage.contains("Cannot generate stable indentifier"))
+      assert(e.getMessage.contains("Cannot generate stable identifier"))
     }
     // Two array types or two map types are not allowed in union.
     {
@@ -434,6 +434,33 @@ abstract class AvroSuite
     }
   }
 
+  test("SPARK-47904: Test that field name case is preserved") {
+    checkUnionStableId(
+      List(
+        Schema.createEnum("myENUM", "", null, List[String]("E1", "e2").asJava),
+        Schema.createRecord("myRecord", "", null, false,
+          List[Schema.Field](new Schema.Field("f", Schema.createFixed("myField", "", null, 6)))
+            .asJava),
+        Schema.createRecord("myRecord2", "", null, false,
+          List[Schema.Field](new Schema.Field("F", Schema.create(Type.FLOAT)))
+            .asJava)),
+      "struct<member_myENUM: string, member_myRecord: struct<f: binary>, " +
+                    "member_myRecord2: struct<F: float>>",
+      Seq())
+
+    {
+      val e = intercept[Exception] {
+        checkUnionStableId(
+          List(
+            Schema.createRecord("myRecord", "", null, false, List[Schema.Field]().asJava),
+            Schema.createRecord("myrecord", "", null, false, List[Schema.Field]().asJava)),
+          "",
+          Seq())
+      }
+      assert(e.getMessage.contains("Cannot generate stable identifier"))
+    }
+  }
+
   test("SPARK-27858 Union type: More than one non-null type") {
     Seq(true, false).foreach { isStableUnionMember =>
       withTempDir { dir =>

From cdd077a39fd99ba7c2fba4e89f6ef9668cf3cbce Mon Sep 17 00:00:00 2001
From: Xi Lyu <xi.lyu@databricks.com>
Date: Wed, 24 Apr 2024 09:08:59 -0400
Subject: [PATCH 665/986] [SPARK-47819][CONNECT][3.5] Use asynchronous callback
 for execution cleanup
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

([Original PR](https://github.com/apache/spark/pull/46027))

### What changes were proposed in this pull request?

Expired sessions are regularly checked and cleaned up by a maintenance thread. However, currently, this process is synchronous. Therefore, in rare cases, interrupting the execution thread of a query in a session can take hours, causing the entire maintenance process to stall, resulting in a large amount of memory not being cleared.

We address this by introducing asynchronous callbacks for execution cleanup, avoiding synchronous joins of execution threads, and preventing the maintenance thread from stalling in the above scenarios. To be more specific, instead of calling `runner.join()` in `ExecutorHolder.close()`, we set a post-cleanup function as the callback through `runner.processOnCompletion`, which will be called asynchronously once the execution runner is completed or interrupted. In this way, the maintenance thread won't get blocked on joining an execution thread.

### Why are the changes needed?

In the rare cases mentioned above, performance can be severely affected.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests and a new test `Async cleanup callback gets called after the execution is closed` in `ReattachableExecuteSuite.scala`.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46064 from xi-db/SPARK-47819-async-cleanup-3.5.

Authored-by: Xi Lyu <xi.lyu@databricks.com>
Signed-off-by: Herman van Hovell <herman@databricks.com>
---
 .../execution/ExecuteThreadRunner.scala       | 31 ++++++++++++++-----
 .../sql/connect/service/ExecuteHolder.scala   | 23 +++++++-------
 .../execution/ReattachableExecuteSuite.scala  | 22 +++++++++++++
 .../planner/SparkConnectServiceSuite.scala    |  7 ++++-
 4 files changed, 64 insertions(+), 19 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
index 62083d4892f78..d503dde3d18c1 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connect.execution
 
+import scala.concurrent.{ExecutionContext, Promise}
+import scala.util.Try
 import scala.util.control.NonFatal
 
 import com.google.protobuf.Message
@@ -29,7 +31,7 @@ import org.apache.spark.sql.connect.common.ProtoUtils
 import org.apache.spark.sql.connect.planner.SparkConnectPlanner
 import org.apache.spark.sql.connect.service.{ExecuteHolder, ExecuteSessionTag}
 import org.apache.spark.sql.connect.utils.ErrorUtils
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{ThreadUtils, Utils}
 
 /**
  * This class launches the actual execution in an execution thread. The execution pushes the
@@ -37,10 +39,12 @@ import org.apache.spark.util.Utils
  */
 private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends Logging {
 
+  private val promise: Promise[Unit] = Promise[Unit]()
+
   // The newly created thread will inherit all InheritableThreadLocals used by Spark,
   // e.g. SparkContext.localProperties. If considering implementing a thread-pool,
   // forwarding of thread locals needs to be taken into account.
-  private var executionThread: Thread = new ExecutionThread()
+  private val executionThread: Thread = new ExecutionThread(promise)
 
   private var interrupted: Boolean = false
 
@@ -53,9 +57,11 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
     executionThread.start()
   }
 
-  /** Joins the background execution thread after it is finished. */
-  def join(): Unit = {
-    executionThread.join()
+  /**
+   * Register a callback that gets executed after completion/interruption of the execution
+   */
+  private[connect] def processOnCompletion(callback: Try[Unit] => Unit): Unit = {
+    promise.future.onComplete(callback)(ExecuteThreadRunner.namedExecutionContext)
   }
 
   /**
@@ -222,10 +228,21 @@ private[connect] class ExecuteThreadRunner(executeHolder: ExecuteHolder) extends
       .build()
   }
 
-  private class ExecutionThread
+  private class ExecutionThread(onCompletionPromise: Promise[Unit])
       extends Thread(s"SparkConnectExecuteThread_opId=${executeHolder.operationId}") {
     override def run(): Unit = {
-      execute()
+      try {
+        execute()
+        onCompletionPromise.success(())
+      } catch {
+        case NonFatal(e) =>
+          onCompletionPromise.failure(e)
+      }
     }
   }
 }
+
+private[connect] object ExecuteThreadRunner {
+  private implicit val namedExecutionContext: ExecutionContext = ExecutionContext
+    .fromExecutor(ThreadUtils.newDaemonSingleThreadExecutor("SparkConnectExecuteThreadCallback"))
+}
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 974c13b08e318..5cf63c2195ab4 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -114,6 +114,9 @@ private[connect] class ExecuteHolder(
       : mutable.ArrayBuffer[ExecuteGrpcResponseSender[proto.ExecutePlanResponse]] =
     new mutable.ArrayBuffer[ExecuteGrpcResponseSender[proto.ExecutePlanResponse]]()
 
+  /** For testing. Whether the async completion callback is called. */
+  @volatile private[connect] var completionCallbackCalled: Boolean = false
+
   /**
    * Start the execution. The execution is started in a background thread in ExecuteThreadRunner.
    * Responses are produced and cached in ExecuteResponseObserver. A GRPC thread consumes the
@@ -125,13 +128,6 @@ private[connect] class ExecuteHolder(
     runner.start()
   }
 
-  /**
-   * Wait for the execution thread to finish and join it.
-   */
-  def join(): Unit = {
-    runner.join()
-  }
-
   /**
    * Attach an ExecuteGrpcResponseSender that will consume responses from the query and send them
    * out on the Grpc response stream. The sender will start from the start of the response stream.
@@ -234,8 +230,15 @@ private[connect] class ExecuteHolder(
     if (closedTime.isEmpty) {
       // interrupt execution, if still running.
       runner.interrupt()
-      // wait for execution to finish, to make sure no more results get pushed to responseObserver
-      runner.join()
+      // Do not wait for the execution to finish, clean up resources immediately.
+      runner.processOnCompletion { _ =>
+        completionCallbackCalled = true
+        // The execution may not immediately get interrupted, clean up any remaining resources when
+        // it does.
+        responseObserver.removeAll()
+        // post closed to UI
+        eventsManager.postClosed()
+      }
       // interrupt any attached grpcResponseSenders
       grpcResponseSenders.foreach(_.interrupt())
       // if there were still any grpcResponseSenders, register detach time
@@ -245,8 +248,6 @@ private[connect] class ExecuteHolder(
       }
       // remove all cached responses from observer
       responseObserver.removeAll()
-      // post closed to UI
-      eventsManager.postClosed()
       closedTime = Some(System.currentTimeMillis())
     }
   }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
index 0e29a07b719af..06cd1a5666b66 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -355,4 +355,26 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
       assertEventuallyNoActiveExecutions()
     }
   }
+
+  test("Async cleanup callback gets called after the execution is closed") {
+    withClient { client =>
+      val query1 = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      // just creating the iterator is lazy, trigger query1 to be sent.
+      query1.hasNext
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(SparkConnectService.executionManager.listExecuteHolders.length == 1)
+      }
+      val executeHolder1 = SparkConnectService.executionManager.listExecuteHolders.head
+      // Close execution
+      SparkConnectService.executionManager.removeExecuteHolder(executeHolder1.key)
+      // Check that queries get cancelled
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(SparkConnectService.executionManager.listExecuteHolders.length == 0)
+      }
+      // Check the async execute cleanup get called
+      Eventually.eventually(timeout(eventuallyTimeout)) {
+        assert(executeHolder1.completionCallbackCalled)
+      }
+    }
+  }
 }
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
index 90c9d13def616..06508bfc6a7c2 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectServiceSuite.scala
@@ -31,6 +31,8 @@ import org.apache.arrow.vector.{BigIntVector, Float8Vector}
 import org.apache.arrow.vector.ipc.ArrowStreamReader
 import org.mockito.Mockito.when
 import org.scalatest.Tag
+import org.scalatest.concurrent.Eventually
+import org.scalatest.time.SpanSugar.convertIntToGrainOfTime
 import org.scalatestplus.mockito.MockitoSugar
 
 import org.apache.spark.{SparkContext, SparkEnv}
@@ -879,8 +881,11 @@ class SparkConnectServiceSuite
       assert(executeHolder.eventsManager.hasError.isDefined)
     }
     def onCompleted(producedRowCount: Option[Long] = None): Unit = {
-      assert(executeHolder.eventsManager.status == ExecuteStatus.Closed)
       assert(executeHolder.eventsManager.getProducedRowCount == producedRowCount)
+      // The eventsManager is closed asynchronously
+      Eventually.eventually(timeout(1.seconds)) {
+        assert(executeHolder.eventsManager.status == ExecuteStatus.Closed)
+      }
     }
     def onCanceled(): Unit = {
       assert(executeHolder.eventsManager.hasCanceled.contains(true))

From ce19bfc1068229897454c5f5cb78aeb435821bd2 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Wed, 24 Apr 2024 09:48:21 -0700
Subject: [PATCH 666/986] [SPARK-47633][SQL][3.5] Include right-side plan
 output in `LateralJoin#allAttributes` for more consistent canonicalization

This is a backport of #45763 to branch-3.5.

### What changes were proposed in this pull request?

Modify `LateralJoin` to include right-side plan output in `allAttributes`.

### Why are the changes needed?

In the following example, the view v1 is cached, but a query of v1 does not use the cache:
```
CREATE or REPLACE TEMP VIEW t1(c1, c2) AS VALUES (0, 1), (1, 2);
CREATE or REPLACE TEMP VIEW t2(c1, c2) AS VALUES (0, 1), (1, 2);

create or replace temp view v1 as
select *
from t1
join lateral (
  select c1 as a, c2 as b
  from t2)
on c1 = a;

cache table v1;

explain select * from v1;
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- BroadcastHashJoin [c1#180], [a#173], Inner, BuildRight, false
   :- LocalTableScan [c1#180, c2#181]
   +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=113]
      +- LocalTableScan [a#173, b#174]
```

The canonicalized version of the `LateralJoin` node is not consistent when there is a join condition. For example, for the above query, the join condition is canonicalized as follows:
```
Before canonicalization: Some((c1#174 = a#167))
After canonicalization:  Some((none#0 = none#167))
```
You can see that the `exprId` for the second operand of `EqualTo` is not normalized (it remains 167). That's because the attribute `a` from the right-side plan is not included `allAttributes`.

This PR adds right-side attributes to `allAttributes` so that references to right-side attributes in the join condition are normalized during canonicalization.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46190 from bersprockets/lj_canonical_issue_35.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../plans/logical/basicLogicalOperators.scala |  2 ++
 .../apache/spark/sql/CachedTableSuite.scala   | 19 +++++++++++++++++++
 2 files changed, 21 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index 58c03ee72d6dc..ca2c6a8505617 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -2017,6 +2017,8 @@ case class LateralJoin(
     joinType: JoinType,
     condition: Option[Expression]) extends UnaryNode {
 
+  override lazy val allAttributes: AttributeSeq = left.output ++ right.plan.output
+
   require(Seq(Inner, LeftOuter, Cross).contains(joinType),
     s"Unsupported lateral join type $joinType")
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
index 8331a3c10fc97..9815cb816c994 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
@@ -1710,4 +1710,23 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
       }
     }
   }
+
+  test("SPARK-47633: Cache hit for lateral join with join condition") {
+    withTempView("t", "q1") {
+      sql("create or replace temp view t(c1, c2) as values (0, 1), (1, 2)")
+      val query = """select *
+                    |from t
+                    |join lateral (
+                    |  select c1 as a, c2 as b
+                    |  from t)
+                    |on c1 = a;
+                    |""".stripMargin
+      sql(s"cache table q1 as $query")
+      val df = sql(query)
+      checkAnswer(df,
+        Row(0, 1, 0, 1) :: Row(1, 2, 1, 2) :: Nil)
+      assert(getNumInMemoryRelations(df) == 1)
+    }
+
+  }
 }

From fdc0cee179087c31eff9aa1471870ee8a6228b1d Mon Sep 17 00:00:00 2001
From: allisonwang-db <allison.wang@databricks.com>
Date: Wed, 24 Apr 2024 18:22:29 -0700
Subject: [PATCH 667/986] [SPARK-47921][CONNECT] Fix ExecuteJobTag creation in
 ExecuteHolder

### What changes were proposed in this pull request?

This PR fixes a bug in the ExecuteJobTag creation in ExecuteHolder. The sessionId and userId are reversed.

https://github.com/apache/spark/blob/8aa8ad6be7b3eeceafa2ad1e9211fb8133bb675c/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala#L296-L299

### Why are the changes needed?

To fix a bug

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46140 from allisonwang-db/spark-47921-execute-job-tag.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit 5a1559a7ef03641db223a8b0862e3dd53032ead0)
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
---
 .../apache/spark/sql/connect/service/ExecuteHolder.scala    | 2 +-
 .../sql/connect/ui/SparkConnectServerListenerSuite.scala    | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 5cf63c2195ab4..0e4f344da901c 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -285,7 +285,7 @@ private[connect] class ExecuteHolder(
 object ExecuteJobTag {
   private val prefix = "SparkConnect_OperationTag"
 
-  def apply(sessionId: String, userId: String, operationId: String): String = {
+  def apply(userId: String, sessionId: String, operationId: String): String = {
     s"${prefix}_" +
       s"User_${userId}_" +
       s"Session_${sessionId}_" +
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
index 3b75c37b2aa00..c9c110dd1e626 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/ui/SparkConnectServerListenerSuite.scala
@@ -37,7 +37,7 @@ class SparkConnectServerListenerSuite
 
   private var kvstore: ElementTrackingStore = _
 
-  private val jobTag = ExecuteJobTag("sessionId", "userId", "operationId")
+  private val jobTag = ExecuteJobTag("userId", "sessionId", "operationId")
 
   after {
     if (kvstore != null) {
@@ -174,7 +174,7 @@ class SparkConnectServerListenerSuite
       SparkListenerJobStart(0, System.currentTimeMillis(), Nil, createProperties))
     listener.onOtherEvent(
       SparkListenerConnectSessionClosed("sessionId", "userId", System.currentTimeMillis()))
-    val exec = statusStore.getExecution(ExecuteJobTag("sessionId", "userId", "operationId"))
+    val exec = statusStore.getExecution(ExecuteJobTag("userId", "sessionId", "operationId"))
     assert(exec.isDefined)
     assert(exec.get.jobId === Seq("0"))
     assert(exec.get.sqlExecId === Set("0"))
@@ -190,7 +190,7 @@ class SparkConnectServerListenerSuite
     listener.onOtherEvent(SparkListenerConnectSessionClosed(unknownSession, "userId", 0))
     listener.onOtherEvent(
       SparkListenerConnectOperationStarted(
-        ExecuteJobTag("sessionId", "userId", "operationId"),
+        ExecuteJobTag("userId", "sessionId", "operationId"),
         "operationId",
         System.currentTimeMillis(),
         unknownSession,

From 7a573b967138d64506b311207c8e3630b91a5afe Mon Sep 17 00:00:00 2001
From: Gene Pang <gene.pang@databricks.com>
Date: Sun, 28 Apr 2024 11:07:12 +0800
Subject: [PATCH 668/986] [SPARK-48019] Fix incorrect behavior in
 ColumnVector/ColumnarArray with dictionary and nulls

This fixes how `ColumnVector` handles copying arrays when the vector has a dictionary and null values. The possible issues with the previous implementation:
- An `ArrayIndexOutOfBoundsException` may be thrown when the `ColumnVector` has nulls and dictionaries. This is because the dictionary id for `null` entries might be invalid and should not be used for `null` entries.
- Copying a `ColumnarArray` (which contains a `ColumnVector`) is incorrect, if it contains `null` entries. This is because copying a primitive array does not take into account the `null` entries, so all the null entries get lost.

These changes are needed to avoid `ArrayIndexOutOfBoundsException` and to produce correct results when copying `ColumnarArray`.

The only user facing changes are to fix existing errors and incorrect results.

Added new unit tests.

No.

Closes #46254 from gene-db/dictionary-nulls.

Authored-by: Gene Pang <gene.pang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 76ce6b00e036a699ad172ba4b7d3f2632ab75332)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/vectorized/ColumnarArray.java   |   5 +
 .../vectorized/OffHeapColumnVector.java       |  24 ++-
 .../vectorized/OnHeapColumnVector.java        |  24 ++-
 .../vectorized/ColumnVectorSuite.scala        | 174 ++++++++++++++++++
 4 files changed, 215 insertions(+), 12 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
index bd7c3d7c0fd49..c4de83cf8b82d 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
@@ -51,6 +51,11 @@ public int numElements() {
   public ArrayData copy() {
     DataType dt = data.dataType();
 
+    if (data.hasNull()) {
+      // UnsafeArrayData cannot be used if there are any nulls.
+      return new GenericArrayData(toObjectArray(dt)).copy();
+    }
+
     if (dt instanceof BooleanType) {
       return UnsafeArrayData.fromPrimitiveArray(toBooleanArray());
     } else if (dt instanceof ByteType) {
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
index 46f241d92e6bd..122f775c2b0e0 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
@@ -215,7 +215,9 @@ public byte[] getBytes(int rowId, int count) {
       Platform.copyMemory(null, data + rowId, array, Platform.BYTE_ARRAY_OFFSET, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getByte(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = (byte) dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -276,7 +278,9 @@ public short[] getShorts(int rowId, int count) {
       Platform.copyMemory(null, data + rowId * 2L, array, Platform.SHORT_ARRAY_OFFSET, count * 2L);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getShort(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = (short) dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -342,7 +346,9 @@ public int[] getInts(int rowId, int count) {
       Platform.copyMemory(null, data + rowId * 4L, array, Platform.INT_ARRAY_OFFSET, count * 4L);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getInt(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -420,7 +426,9 @@ public long[] getLongs(int rowId, int count) {
       Platform.copyMemory(null, data + rowId * 8L, array, Platform.LONG_ARRAY_OFFSET, count * 8L);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getLong(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToLong(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -484,7 +492,9 @@ public float[] getFloats(int rowId, int count) {
       Platform.copyMemory(null, data + rowId * 4L, array, Platform.FLOAT_ARRAY_OFFSET, count * 4L);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getFloat(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToFloat(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -550,7 +560,9 @@ public double[] getDoubles(int rowId, int count) {
         count * 8L);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getDouble(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToDouble(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
index b717323753e87..160441e7583ed 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
@@ -213,7 +213,9 @@ public byte[] getBytes(int rowId, int count) {
       System.arraycopy(byteData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getByte(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = (byte) dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -273,7 +275,9 @@ public short[] getShorts(int rowId, int count) {
       System.arraycopy(shortData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getShort(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = (short) dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -334,7 +338,9 @@ public int[] getInts(int rowId, int count) {
       System.arraycopy(intData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getInt(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToInt(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -406,7 +412,9 @@ public long[] getLongs(int rowId, int count) {
       System.arraycopy(longData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getLong(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToLong(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -463,7 +471,9 @@ public float[] getFloats(int rowId, int count) {
       System.arraycopy(floatData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getFloat(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToFloat(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
@@ -522,7 +532,9 @@ public double[] getDoubles(int rowId, int count) {
       System.arraycopy(doubleData, rowId, array, 0, count);
     } else {
       for (int i = 0; i < count; i++) {
-        array[i] = getDouble(rowId + i);
+        if (!isNullAt(rowId + i)) {
+          array[i] = dictionary.decodeToDouble(dictionaryIds.getDictId(rowId + i));
+        }
       }
     }
     return array;
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
index 516be9a4e5958..1f79626533ab6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
@@ -473,6 +473,180 @@ class ColumnVectorSuite extends SparkFunSuite {
     assert(testVector.getDoubles(0, 3)(2) == 1342.17729d)
   }
 
+  def check(expected: Seq[Any], testVector: WritableColumnVector): Unit = {
+    expected.zipWithIndex.foreach {
+      case (v: Integer, idx) =>
+        assert(testVector.getInt(idx) == v)
+        assert(testVector.getInts(0, testVector.capacity)(idx) == v)
+      case (v: Short, idx) =>
+        assert(testVector.getShort(idx) == v)
+        assert(testVector.getShorts(0, testVector.capacity)(idx) == v)
+      case (v: Byte, idx) =>
+        assert(testVector.getByte(idx) == v)
+        assert(testVector.getBytes(0, testVector.capacity)(idx) == v)
+      case (v: Long, idx) =>
+        assert(testVector.getLong(idx) == v)
+        assert(testVector.getLongs(0, testVector.capacity)(idx) == v)
+      case (v: Float, idx) =>
+        assert(testVector.getFloat(idx) == v)
+        assert(testVector.getFloats(0, testVector.capacity)(idx) == v)
+      case (v: Double, idx) =>
+        assert(testVector.getDouble(idx) == v)
+        assert(testVector.getDoubles(0, testVector.capacity)(idx) == v)
+      case (null, idx) => testVector.isNullAt(idx)
+      case (_, idx) => assert(false, s"Unexpected value at $idx")
+    }
+
+    // Verify ColumnarArray.copy() works as expected
+    val arr = new ColumnarArray(testVector, 0, testVector.capacity)
+    assert(arr.toSeq(testVector.dataType) == expected)
+    assert(arr.copy().toSeq(testVector.dataType) == expected)
+  }
+
+  testVectors("getInts with dictionary and nulls", 3, IntegerType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(1, null, 3)
+    expected.foreach {
+      case i: Integer => testVector.appendInt(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(7, null, 9)
+    val dictArray = (Seq(-1, -1) ++ expectedDictionary.map {
+      case i: Integer => i.toInt
+      case _ => -1
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
+  testVectors("getShorts with dictionary and nulls", 3, ShortType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(1.toShort, null, 3.toShort)
+    expected.foreach {
+      case i: Short => testVector.appendShort(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(7.toShort, null, 9.toShort)
+    val dictArray = (Seq(-1, -1) ++ expectedDictionary.map {
+      case i: Short => i.toInt
+      case _ => -1
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
+  testVectors("getBytes with dictionary and nulls", 3, ByteType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(1.toByte, null, 3.toByte)
+    expected.foreach {
+      case i: Byte => testVector.appendByte(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(7.toByte, null, 9.toByte)
+    val dictArray = (Seq(-1, -1) ++ expectedDictionary.map {
+      case i: Byte => i.toInt
+      case _ => -1
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
+  testVectors("getLongs with dictionary and nulls", 3, LongType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(2147483L, null, 2147485L)
+    expected.foreach {
+      case i: Long => testVector.appendLong(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(2147483648L, null, 2147483650L)
+    val dictArray = (Seq(-1L, -1L) ++ expectedDictionary.map {
+      case i: Long => i
+      case _ => -1L
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
+  testVectors("getFloats with dictionary and nulls", 3, FloatType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(1.1f, null, 3.3f)
+    expected.foreach {
+      case i: Float => testVector.appendFloat(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(0.1f, null, 0.3f)
+    val dictArray = (Seq(-1f, -1f) ++ expectedDictionary.map {
+      case i: Float => i
+      case _ => -1f
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
+  testVectors("getDoubles with dictionary and nulls", 3, DoubleType) { testVector =>
+    // Validate without dictionary
+    val expected = Seq(1.1d, null, 3.3d)
+    expected.foreach {
+      case i: Double => testVector.appendDouble(i)
+      case _ => testVector.appendNull()
+    }
+    check(expected, testVector)
+
+    // Validate with dictionary
+    val expectedDictionary = Seq(1342.17727d, null, 1342.17729d)
+    val dictArray = (Seq(-1d, -1d) ++ expectedDictionary.map {
+      case i: Double => i
+      case _ => -1d
+    }).toArray
+    val dict = new ColumnDictionary(dictArray)
+    testVector.setDictionary(dict)
+    testVector.reserveDictionaryIds(3)
+    testVector.getDictionaryIds.putInt(0, 2)
+    testVector.getDictionaryIds.putInt(1, -1) // This is a null, so the entry should be ignored
+    testVector.getDictionaryIds.putInt(2, 4)
+    check(expectedDictionary, testVector)
+  }
+
   test("[SPARK-22092] off-heap column vector reallocation corrupts array data") {
     withVector(new OffHeapColumnVector(8, arrayType)) { testVector =>
       val data = testVector.arrayData()

From 33768f66d953159ffd2b2bd0ec89957a2ce2eca0 Mon Sep 17 00:00:00 2001
From: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Date: Sun, 28 Apr 2024 13:46:03 +0800
Subject: [PATCH 669/986] [SPARK-47927][SQL] Fix nullability attribute in UDF
 decoder

This PR fixes a correctness issue by moving the batch that resolves udf decoders to after the `UpdateNullability` batch. This means we now derive a  decoder with the updated attributes which fixes a correctness issue.

I think the issue has existed since https://github.com/apache/spark/pull/28645 when udf support case class arguments was added. So therefore this issue should be present in all currently supported versions.

Currently the following code
```
scala> val ds1 = Seq(1).toDS()
     | val ds2 = Seq[Int]().toDS()
     | val f = udf[Tuple1[Option[Int]],Tuple1[Option[Int]]](identity)
     | ds1.join(ds2, ds1("value") === ds2("value"), "left_outer").select(f(struct(ds2("value")))).collect()
val ds1: org.apache.spark.sql.Dataset[Int] = [value: int]
val ds2: org.apache.spark.sql.Dataset[Int] = [value: int]
val f: org.apache.spark.sql.expressions.UserDefinedFunction = SparkUserDefinedFunction($Lambda$2481/0x00007f7f50961f086b1a2c9f,StructType(StructField(_1,IntegerType,true)),List(Some(class[_1[0]: int])),Some(class[_1[0]: int]),None,true,true)
val res0: Array[org.apache.spark.sql.Row] = Array([[0]])
```
results in an row containing `0` this is incorrect as the value should be `null`. Removing the udf call
```
scala> ds1.join(ds2, ds1("value") === ds2("value"), "left_outer").select(struct(ds2("value"))).collect()
val res1: Array[org.apache.spark.sql.Row] = Array([[null]])
```
gives the correct value.

Yes, fixes a correctness issue when using ScalaUDFs.

Existing and new unit tests.

No.

Closes #46156 from eejbyfeldt/SPARK-47927.

Authored-by: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 8b8ea60bd4f22ea5763a77bac2d51f25d2479be9)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/catalyst/analysis/Analyzer.scala |  4 ++--
 .../test/scala/org/apache/spark/sql/UDFSuite.scala    | 11 +++++++++++
 2 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index eae150001249e..93efa5e4a49c9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -338,11 +338,11 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       new ResolveHints.RemoveAllHints),
     Batch("Nondeterministic", Once,
       PullOutNondeterministic),
+    Batch("UpdateNullability", Once,
+      UpdateAttributeNullability),
     Batch("UDF", Once,
       HandleNullInputsForUDF,
       ResolveEncodersInUDF),
-    Batch("UpdateNullability", Once,
-      UpdateAttributeNullability),
     Batch("Subquery", Once,
       UpdateOuterReferences),
     Batch("Cleanup", fixedPoint,
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
index e54bda1acef59..56bc707450e31 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
@@ -1067,4 +1067,15 @@ class UDFSuite extends QueryTest with SharedSparkSession {
       .lookupFunctionInfo(FunctionIdentifier("dummyUDF"))
     assert(expressionInfo.getClassName.contains("org.apache.spark.sql.UDFRegistration$$Lambda"))
   }
+
+  test("SPARK-47927: Correctly pass null values derived from join to UDF") {
+    val f = udf[Tuple1[Option[Int]], Tuple1[Option[Int]]](identity)
+    val ds1 = Seq(1).toDS()
+    val ds2 = Seq[Int]().toDS()
+
+    checkAnswer(
+      ds1.join(ds2, ds1("value") === ds2("value"), "left_outer")
+        .select(f(struct(ds2("value").as("_1")))),
+      Row(Row(null)))
+  }
 }

From 616c2162242f99a3217caa0b7e4344e2979a5e54 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 29 Apr 2024 11:40:39 +0800
Subject: [PATCH 670/986] [SPARK-48034][TESTS] NullPointerException in
 MapStatusesSerDeserBenchmark

### What changes were proposed in this pull request?

This PR fixes an NPE in MapStatusesSerDeserBenchmark. The cause is that we try to stop the tracker twice.

```
3197java.lang.NullPointerException: Cannot invoke "org.apache.spark.rpc.RpcEndpointRef.askSync(Object, scala.reflect.ClassTag)" because the return value of "org.apache.spark.MapOutputTracker.trackerEndpoint()" is null
3198	at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:541)
3199	at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:551)
3200	at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:1242)
3201	at org.apache.spark.SparkEnv.stop(SparkEnv.scala:112)
3202	at org.apache.spark.SparkContext.$anonfun$stop$25(SparkContext.scala:2354)
3203	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1294)
3204	at org.apache.spark.SparkContext.stop(SparkContext.scala:2354)
3205	at org.apache.spark.SparkContext.stop(SparkContext.scala:2259)
3206	at org.apache.spark.MapStatusesSerDeserBenchmark$.afterAll(MapStatusesSerDeserBenchmark.scala:128)
3207	at org.apache.spark.benchmark.BenchmarkBase.main(BenchmarkBase.scala:80)
3208	at org.apache.spark.MapStatusesSerDeserBenchmark.main(MapStatusesSerDeserBenchmark.scala)
3209	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
3210	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
3211	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
3212	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
3213	at org.apache.spark.benchmark.Benchmarks$.$anonfun$main$7(Benchmarks.scala:128)
3214	at scala.collection.ArrayOps$.foreach$extension(ArrayOps.scala:1323)
3215	at org.apache.spark.benchmark.Benchmarks$.main(Benchmarks.scala:91)
3216	at org.apache.spark.benchmark.Benchmarks.main(Benchmarks.scala)
```
### Why are the changes needed?

test bugfix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

manually

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #46270 from yaooqinn/SPARK-48034.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 59d5946cfd377e9203ccf572deb34f87fab7510c)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../scala/org/apache/spark/MapStatusesSerDeserBenchmark.scala    | 1 -
 1 file changed, 1 deletion(-)

diff --git a/core/src/test/scala/org/apache/spark/MapStatusesSerDeserBenchmark.scala b/core/src/test/scala/org/apache/spark/MapStatusesSerDeserBenchmark.scala
index 797b650799eaf..795da65079d6e 100644
--- a/core/src/test/scala/org/apache/spark/MapStatusesSerDeserBenchmark.scala
+++ b/core/src/test/scala/org/apache/spark/MapStatusesSerDeserBenchmark.scala
@@ -123,7 +123,6 @@ object MapStatusesSerDeserBenchmark extends BenchmarkBase {
   }
 
   override def afterAll(): Unit = {
-    tracker.stop()
     if (sc != null) {
       sc.stop()
     }

From e78ee2c5770218a521340cb84f57a02dd00f7f3a Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Mon, 29 Apr 2024 16:40:56 -0700
Subject: [PATCH 671/986] [SPARK-48016][SQL] Fix a bug in try_divide function
 when with decimals

 Currently, the following query will throw DIVIDE_BY_ZERO error instead of returning null
 ```
SELECT try_divide(1, decimal(0));
```

This is caused by the rule `DecimalPrecision`:
```
case b  BinaryOperator(left, right) if left.dataType != right.dataType =>
  (left, right) match {
 ...
    case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
        l.dataType.isInstanceOf[IntegralType] &&
        literalPickMinimumPrecision =>
      b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
```
The result of the above makeCopy will contain `ANSI` as the `evalMode`, instead of `TRY`.
This PR is to fix this bug by replacing the makeCopy method calls with withNewChildren

Bug fix in try_* functions.

Yes, it fixes a long-standing bug in the try_divide function.

New UT

No

Closes #46286 from gengliangwang/avoidMakeCopy.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 3fbcb26d8e992c65a2778b96da4142e234786e53)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../catalyst/analysis/DecimalPrecision.scala  | 14 ++--
 .../sql/catalyst/analysis/TypeCoercion.scala  | 10 +--
 sql/core/src/test/resources/log4j2.properties |  2 +-
 .../ansi/try_arithmetic.sql.out               | 56 ++++++++++++++++
 .../analyzer-results/try_arithmetic.sql.out   | 56 ++++++++++++++++
 .../sql-tests/inputs/try_arithmetic.sql       |  8 +++
 .../results/ansi/try_arithmetic.sql.out       | 64 +++++++++++++++++++
 .../sql-tests/results/try_arithmetic.sql.out  | 64 +++++++++++++++++++
 8 files changed, 261 insertions(+), 13 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
index 09cf61a77955a..f51127f53b382 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
@@ -83,7 +83,7 @@ object DecimalPrecision extends TypeCoercionRule {
       val resultType = widerDecimalType(p1, s1, p2, s2)
       val newE1 = if (e1.dataType == resultType) e1 else Cast(e1, resultType)
       val newE2 = if (e2.dataType == resultType) e2 else Cast(e2, resultType)
-      b.makeCopy(Array(newE1, newE2))
+      b.withNewChildren(Seq(newE1, newE2))
   }
 
   /**
@@ -202,21 +202,21 @@ object DecimalPrecision extends TypeCoercionRule {
         case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
             l.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
+          b.withNewChildren(Seq(Cast(l, DataTypeUtils.fromLiteral(l)), r))
         case (l, r: Literal) if l.dataType.isInstanceOf[DecimalType] &&
             r.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(l, Cast(r, DataTypeUtils.fromLiteral(r))))
+          b.withNewChildren(Seq(l, Cast(r, DataTypeUtils.fromLiteral(r))))
         // Promote integers inside a binary expression with fixed-precision decimals to decimals,
         // and fixed-precision decimals in an expression with floats / doubles to doubles
         case (l @ IntegralTypeExpression(), r @ DecimalExpression(_, _)) =>
-          b.makeCopy(Array(Cast(l, DecimalType.forType(l.dataType)), r))
+          b.withNewChildren(Seq(Cast(l, DecimalType.forType(l.dataType)), r))
         case (l @ DecimalExpression(_, _), r @ IntegralTypeExpression()) =>
-          b.makeCopy(Array(l, Cast(r, DecimalType.forType(r.dataType))))
+          b.withNewChildren(Seq(l, Cast(r, DecimalType.forType(r.dataType))))
         case (l, r @ DecimalExpression(_, _)) if isFloat(l.dataType) =>
-          b.makeCopy(Array(l, Cast(r, DoubleType)))
+          b.withNewChildren(Seq(l, Cast(r, DoubleType)))
         case (l @ DecimalExpression(_, _), r) if isFloat(r.dataType) =>
-          b.makeCopy(Array(Cast(l, DoubleType), r))
+          b.withNewChildren(Seq(Cast(l, DoubleType), r))
         case _ => b
       }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index 190e72a8e669e..c9a4a2d40246a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -1102,22 +1102,22 @@ object TypeCoercion extends TypeCoercionBase {
 
       case a @ BinaryArithmetic(left @ StringTypeExpression(), right)
         if right.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(Cast(left, DoubleType), right))
+        a.withNewChildren(Seq(Cast(left, DoubleType), right))
       case a @ BinaryArithmetic(left, right @ StringTypeExpression())
         if left.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(left, Cast(right, DoubleType)))
+        a.withNewChildren(Seq(left, Cast(right, DoubleType)))
 
       // For equality between string and timestamp we cast the string to a timestamp
       // so that things like rounding of subsecond precision does not affect the comparison.
       case p @ Equality(left @ StringTypeExpression(), right @ TimestampTypeExpression()) =>
-        p.makeCopy(Array(Cast(left, TimestampType), right))
+        p.withNewChildren(Seq(Cast(left, TimestampType), right))
       case p @ Equality(left @ TimestampTypeExpression(), right @ StringTypeExpression()) =>
-        p.makeCopy(Array(left, Cast(right, TimestampType)))
+        p.withNewChildren(Seq(left, Cast(right, TimestampType)))
 
       case p @ BinaryComparison(left, right)
           if findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).isDefined =>
         val commonType = findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).get
-        p.makeCopy(Array(castExpr(left, commonType), castExpr(right, commonType)))
+        p.withNewChildren(Seq(castExpr(left, commonType), castExpr(right, commonType)))
     }
   }
 
diff --git a/sql/core/src/test/resources/log4j2.properties b/sql/core/src/test/resources/log4j2.properties
index 7ab47c16d4f94..d793d16ca6851 100644
--- a/sql/core/src/test/resources/log4j2.properties
+++ b/sql/core/src/test/resources/log4j2.properties
@@ -50,7 +50,7 @@ logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetReco
 logger.parquet_recordwriter.additivity = false
 logger.parquet_recordwriter.level = off
 
-logger.parquet_outputcommitter.name = org.apache.parquet.hadoop.ParquetOutputCommitter
+logger.parquet_outputcommitter.name = org.sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scalaapache.parquet.hadoop.ParquetOutputCommitter
 logger.parquet_outputcommitter.additivity = false
 logger.parquet_outputcommitter.level = off
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
index bbc07c22805a6..15fe614ff0d22 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
@@ -13,6 +13,20 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query analysis
+Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query analysis
+Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -211,6 +225,20 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query analysis
+Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query analysis
+Project [try_divide(1, 0) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -267,6 +295,20 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query analysis
+Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query analysis
+Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -351,6 +393,20 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query analysis
+Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query analysis
+Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
index bbc07c22805a6..ceda149c48434 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
@@ -13,6 +13,20 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query analysis
+Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query analysis
+Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -211,6 +225,20 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query analysis
+Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query analysis
+Project [try_divide(1, 0) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -267,6 +295,20 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query analysis
+Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query analysis
+Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -351,6 +393,20 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query analysis
+Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query analysis
+Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
index 55907b6701e50..943865b68d39e 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
@@ -1,6 +1,8 @@
 -- Numeric + Numeric
 SELECT try_add(1, 1);
 SELECT try_add(2147483647, 1);
+SELECT try_add(2147483647, decimal(1));
+SELECT try_add(2147483647, "1");
 SELECT try_add(-2147483648, -1);
 SELECT try_add(9223372036854775807L, 1);
 SELECT try_add(-9223372036854775808L, -1);
@@ -38,6 +40,8 @@ SELECT try_divide(0, 0);
 SELECT try_divide(1, (2147483647 + 1));
 SELECT try_divide(1L, (9223372036854775807L + 1L));
 SELECT try_divide(1, 1.0 / 0.0);
+SELECT try_divide(1, decimal(0));
+SELECT try_divide(1, "0");
 
 -- Interval / Numeric
 SELECT try_divide(interval 2 year, 2);
@@ -50,6 +54,8 @@ SELECT try_divide(interval 106751991 day, 0.5);
 -- Numeric - Numeric
 SELECT try_subtract(1, 1);
 SELECT try_subtract(2147483647, -1);
+SELECT try_subtract(2147483647, decimal(-1));
+SELECT try_subtract(2147483647, "-1");
 SELECT try_subtract(-2147483648, 1);
 SELECT try_subtract(9223372036854775807L, -1);
 SELECT try_subtract(-9223372036854775808L, 1);
@@ -66,6 +72,8 @@ SELECT try_subtract(interval 106751991 day, interval -3 day);
 -- Numeric * Numeric
 SELECT try_multiply(2, 3);
 SELECT try_multiply(2147483647, -2);
+SELECT try_multiply(2147483647, decimal(-2));
+SELECT try_multiply(2147483647, "-2");
 SELECT try_multiply(-2147483648, 2);
 SELECT try_multiply(9223372036854775807L, 2);
 SELECT try_multiply(-9223372036854775808L, -2);
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
index 414198b19645d..bb630243ee1ae 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
@@ -15,6 +15,22 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query schema
+struct<try_add(2147483647, 1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query schema
+struct<try_add(2147483647, 1):bigint>
+-- !query output
+2147483648
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -341,6 +357,22 @@ org.apache.spark.SparkArithmeticException
 }
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query schema
+struct<try_divide(1, 0):decimal(12,11)>
+-- !query output
+NULL
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query schema
+struct<try_divide(1, 0):double>
+-- !query output
+NULL
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -405,6 +437,22 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query schema
+struct<try_subtract(2147483647, -1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query schema
+struct<try_subtract(2147483647, -1):bigint>
+-- !query output
+2147483648
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -547,6 +595,22 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query schema
+struct<try_multiply(2147483647, -2):decimal(21,0)>
+-- !query output
+-4294967294
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query schema
+struct<try_multiply(2147483647, -2):bigint>
+-- !query output
+-4294967294
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
index c706a26078926..76f1d89b20927 100644
--- a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
@@ -15,6 +15,22 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query schema
+struct<try_add(2147483647, 1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query schema
+struct<try_add(2147483647, 1):double>
+-- !query output
+2.147483648E9
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -249,6 +265,22 @@ struct<try_divide(1, (1.0 / 0.0)):decimal(16,9)>
 NULL
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query schema
+struct<try_divide(1, 0):decimal(12,11)>
+-- !query output
+NULL
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query schema
+struct<try_divide(1, 0):double>
+-- !query output
+NULL
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -313,6 +345,22 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query schema
+struct<try_subtract(2147483647, -1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query schema
+struct<try_subtract(2147483647, -1):double>
+-- !query output
+2.147483648E9
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -409,6 +457,22 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query schema
+struct<try_multiply(2147483647, -2):decimal(21,0)>
+-- !query output
+-4294967294
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query schema
+struct<try_multiply(2147483647, -2):double>
+-- !query output
+-4.294967294E9
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema

From 9bc2ab01dde1eed9c4d6f4edd751f5bf0b28be3a Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Tue, 30 Apr 2024 12:43:56 +0800
Subject: [PATCH 672/986] [SPARK-47129][CONNECT][SQL][3.5] Make
 ResolveRelations cache connect plan properly

### What changes were proposed in this pull request?
Make `ResolveRelations` handle plan id properly

cherry-pick bugfix https://github.com/apache/spark/pull/45214 to 3.5

### Why are the changes needed?
bug fix for Spark Connect, it won't affect classic Spark SQL

before this PR:
```
from pyspark.sql import functions as sf

spark.range(10).withColumn("value_1", sf.lit(1)).write.saveAsTable("test_table_1")
spark.range(10).withColumnRenamed("id", "index").withColumn("value_2", sf.lit(2)).write.saveAsTable("test_table_2")

df1 = spark.read.table("test_table_1")
df2 = spark.read.table("test_table_2")
df3 = spark.read.table("test_table_1")

join1 = df1.join(df2, on=df1.id==df2.index).select(df2.index, df2.value_2)
join2 = df3.join(join1, how="left", on=join1.index==df3.id)

join2.schema
```

fails with
```
AnalysisException: [CANNOT_RESOLVE_DATAFRAME_COLUMN] Cannot resolve dataframe column "id". It's probably because of illegal references like `df1.select(df2.col("a"))`. SQLSTATE: 42704
```

That is due to existing plan caching in `ResolveRelations` doesn't work with Spark Connect

```
=== Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations ===
 '[#12]Join LeftOuter, '`==`('index, 'id)                     '[#12]Join LeftOuter, '`==`('index, 'id)
!:- '[#9]UnresolvedRelation [test_table_1], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!+- '[#11]Project ['index, 'value_2]                          :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!   +- '[#10]Join Inner, '`==`('id, 'index)                   +- '[#11]Project ['index, 'value_2]
!      :- '[#7]UnresolvedRelation [test_table_1], [], false      +- '[#10]Join Inner, '`==`('id, 'index)
!      +- '[#8]UnresolvedRelation [test_table_2], [], false         :- '[#9]SubqueryAlias spark_catalog.default.test_table_1
!                                                                   :  +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
!                                                                   +- '[#8]SubqueryAlias spark_catalog.default.test_table_2
!                                                                      +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_2`, [], false

Can not resolve 'id with plan 7
```

`[#7]UnresolvedRelation [test_table_1], [], false` was wrongly resolved to the cached one
```
:- '[#9]SubqueryAlias spark_catalog.default.test_table_1
   +- 'UnresolvedCatalogRelation `spark_catalog`.`default`.`test_table_1`, [], false
```

### Does this PR introduce _any_ user-facing change?
yes, bug fix

### How was this patch tested?
added ut

### Was this patch authored or co-authored using generative AI tooling?
ci

Closes #46291 from zhengruifeng/connect_fix_read_join_35.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
---
 python/pyspark/sql/tests/test_readwriter.py   | 21 +++++++++++++++
 .../sql/catalyst/analysis/Analyzer.scala      | 27 ++++++++++++++-----
 2 files changed, 41 insertions(+), 7 deletions(-)

diff --git a/python/pyspark/sql/tests/test_readwriter.py b/python/pyspark/sql/tests/test_readwriter.py
index 528b88ca0c2d6..921d2eba5ac7f 100644
--- a/python/pyspark/sql/tests/test_readwriter.py
+++ b/python/pyspark/sql/tests/test_readwriter.py
@@ -181,6 +181,27 @@ def test_insert_into(self):
             df.write.mode("overwrite").insertInto("test_table", False)
             self.assertEqual(6, self.spark.sql("select * from test_table").count())
 
+    def test_cached_table(self):
+        with self.table("test_cached_table_1"):
+            self.spark.range(10).withColumn(
+                "value_1",
+                lit(1),
+            ).write.saveAsTable("test_cached_table_1")
+
+            with self.table("test_cached_table_2"):
+                self.spark.range(10).withColumnRenamed("id", "index").withColumn(
+                    "value_2", lit(2)
+                ).write.saveAsTable("test_cached_table_2")
+
+                df1 = self.spark.read.table("test_cached_table_1")
+                df2 = self.spark.read.table("test_cached_table_2")
+                df3 = self.spark.read.table("test_cached_table_1")
+
+                join1 = df1.join(df2, on=df1.id == df2.index).select(df2.index, df2.value_2)
+                join2 = df3.join(join1, how="left", on=join1.index == df3.id)
+
+                self.assertEqual(join2.columns, ["id", "value_1", "index", "value_2"])
+
 
 class ReadwriterV2TestsMixin:
     def test_api(self):
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 93efa5e4a49c9..ed7b978045c77 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -1262,16 +1262,29 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
         expandIdentifier(u.multipartIdentifier) match {
           case CatalogAndIdentifier(catalog, ident) =>
             val key = ((catalog.name +: ident.namespace :+ ident.name).toSeq, timeTravelSpec)
-            AnalysisContext.get.relationCache.get(key).map(_.transform {
-              case multi: MultiInstanceRelation =>
-                val newRelation = multi.newInstance()
-                newRelation.copyTagsFrom(multi)
-                newRelation
-            }).orElse {
+            AnalysisContext.get.relationCache.get(key).map { cache =>
+              val cachedRelation = cache.transform {
+                case multi: MultiInstanceRelation =>
+                  val newRelation = multi.newInstance()
+                  newRelation.copyTagsFrom(multi)
+                  newRelation
+              }
+              u.getTagValue(LogicalPlan.PLAN_ID_TAG).map { planId =>
+                val cachedConnectRelation = cachedRelation.clone()
+                cachedConnectRelation.setTagValue(LogicalPlan.PLAN_ID_TAG, planId)
+                cachedConnectRelation
+              }.getOrElse(cachedRelation)
+            }.orElse {
               val table = CatalogV2Util.loadTable(catalog, ident, timeTravelSpec)
               val loaded = createRelation(catalog, ident, table, u.options, u.isStreaming)
               loaded.foreach(AnalysisContext.get.relationCache.update(key, _))
-              loaded
+              u.getTagValue(LogicalPlan.PLAN_ID_TAG).map { planId =>
+                loaded.map { loadedRelation =>
+                  val loadedConnectRelation = loadedRelation.clone()
+                  loadedConnectRelation.setTagValue(LogicalPlan.PLAN_ID_TAG, planId)
+                  loadedConnectRelation
+                }
+              }.getOrElse(loaded)
             }
           case _ => None
         }

From 953d7f90c6dbee597b0360c551dfac2a1d87d961 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 1 May 2024 10:42:26 -0700
Subject: [PATCH 673/986] [SPARK-48068][PYTHON] `mypy` should have
 `--python-executable` parameter

### What changes were proposed in this pull request?

This PR aims to fix `mypy` failure by propagating `lint-python`'s `PYTHON_EXECUTABLE` to `mypy`'s parameter correctly.

### Why are the changes needed?

We assumed that `PYTHON_EXECUTABLE` is used for `dev/lint-python` like the following. That's not always guaranteed. We need to use `mypy`'s parameter to make it sure.
https://github.com/apache/spark/blob/ff401dde50343c9bbc1c49a0294272f2da7d01e2/.github/workflows/build_and_test.yml#L705

This patch is useful whose `python3` chooses one of multiple Python installation like our CI environment.
```
$ docker run -it --rm ghcr.io/apache/apache-spark-ci-image:master-8905641334 bash
WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested
root2ef6ce08d2c4:/# python3 --version
Python 3.10.12
root2ef6ce08d2c4:/# python3.9 --version
Python 3.9.19
```

For example, the following shows that `PYTHON_EXECUTABLE` is not considered by `mypy`.
```
root18c8eae5791e:/spark# PYTHON_EXECUTABLE=python3.9 mypy --python-executable=python3.11 --namespace-packages --config-file python/mypy.ini python/pyspark | wc -l
3428
root18c8eae5791e:/spark# PYTHON_EXECUTABLE=python3.9 mypy --namespace-packages --config-file python/mypy.ini python/pyspark | wc -l
1
root18c8eae5791e:/spark# PYTHON_EXECUTABLE=python3.11 mypy --namespace-packages --config-file python/mypy.ini python/pyspark | wc -l
1
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46314 from dongjoon-hyun/SPARK-48068.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 26c871f180306fbf86ce65f14f8e7a71f89885ed)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/lint-python | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/dev/lint-python b/dev/lint-python
index d040493c86c42..7ccd32451acc8 100755
--- a/dev/lint-python
+++ b/dev/lint-python
@@ -118,6 +118,7 @@ function mypy_annotation_test {
 
     echo "starting mypy annotations test..."
     MYPY_REPORT=$( ($MYPY_BUILD \
+      --python-executable $PYTHON_EXECUTABLE \
       --namespace-packages \
       --config-file python/mypy.ini \
       --cache-dir /tmp/.mypy_cache/ \
@@ -177,6 +178,7 @@ function mypy_examples_test {
     echo "starting mypy examples test..."
 
     MYPY_REPORT=$( (MYPYPATH=python $MYPY_BUILD \
+      --python-executable $PYTHON_EXECUTABLE \
       --namespace-packages \
       --config-file python/mypy.ini \
       --exclude "mllib/*" \

From fc0ef07f2949c399537c6d9b5fb7b81f546de212 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 1 May 2024 11:18:29 -0700
Subject: [PATCH 674/986] Revert "[SPARK-48016][SQL] Fix a bug in try_divide
 function when with decimals"

This reverts commit e78ee2c5770218a521340cb84f57a02dd00f7f3a.
---
 .../catalyst/analysis/DecimalPrecision.scala  | 14 ++--
 .../sql/catalyst/analysis/TypeCoercion.scala  | 10 +--
 sql/core/src/test/resources/log4j2.properties |  2 +-
 .../ansi/try_arithmetic.sql.out               | 56 ----------------
 .../analyzer-results/try_arithmetic.sql.out   | 56 ----------------
 .../sql-tests/inputs/try_arithmetic.sql       |  8 ---
 .../results/ansi/try_arithmetic.sql.out       | 64 -------------------
 .../sql-tests/results/try_arithmetic.sql.out  | 64 -------------------
 8 files changed, 13 insertions(+), 261 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
index f51127f53b382..09cf61a77955a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
@@ -83,7 +83,7 @@ object DecimalPrecision extends TypeCoercionRule {
       val resultType = widerDecimalType(p1, s1, p2, s2)
       val newE1 = if (e1.dataType == resultType) e1 else Cast(e1, resultType)
       val newE2 = if (e2.dataType == resultType) e2 else Cast(e2, resultType)
-      b.withNewChildren(Seq(newE1, newE2))
+      b.makeCopy(Array(newE1, newE2))
   }
 
   /**
@@ -202,21 +202,21 @@ object DecimalPrecision extends TypeCoercionRule {
         case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
             l.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.withNewChildren(Seq(Cast(l, DataTypeUtils.fromLiteral(l)), r))
+          b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
         case (l, r: Literal) if l.dataType.isInstanceOf[DecimalType] &&
             r.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.withNewChildren(Seq(l, Cast(r, DataTypeUtils.fromLiteral(r))))
+          b.makeCopy(Array(l, Cast(r, DataTypeUtils.fromLiteral(r))))
         // Promote integers inside a binary expression with fixed-precision decimals to decimals,
         // and fixed-precision decimals in an expression with floats / doubles to doubles
         case (l @ IntegralTypeExpression(), r @ DecimalExpression(_, _)) =>
-          b.withNewChildren(Seq(Cast(l, DecimalType.forType(l.dataType)), r))
+          b.makeCopy(Array(Cast(l, DecimalType.forType(l.dataType)), r))
         case (l @ DecimalExpression(_, _), r @ IntegralTypeExpression()) =>
-          b.withNewChildren(Seq(l, Cast(r, DecimalType.forType(r.dataType))))
+          b.makeCopy(Array(l, Cast(r, DecimalType.forType(r.dataType))))
         case (l, r @ DecimalExpression(_, _)) if isFloat(l.dataType) =>
-          b.withNewChildren(Seq(l, Cast(r, DoubleType)))
+          b.makeCopy(Array(l, Cast(r, DoubleType)))
         case (l @ DecimalExpression(_, _), r) if isFloat(r.dataType) =>
-          b.withNewChildren(Seq(Cast(l, DoubleType), r))
+          b.makeCopy(Array(Cast(l, DoubleType), r))
         case _ => b
       }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index c9a4a2d40246a..190e72a8e669e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -1102,22 +1102,22 @@ object TypeCoercion extends TypeCoercionBase {
 
       case a @ BinaryArithmetic(left @ StringTypeExpression(), right)
         if right.dataType != CalendarIntervalType =>
-        a.withNewChildren(Seq(Cast(left, DoubleType), right))
+        a.makeCopy(Array(Cast(left, DoubleType), right))
       case a @ BinaryArithmetic(left, right @ StringTypeExpression())
         if left.dataType != CalendarIntervalType =>
-        a.withNewChildren(Seq(left, Cast(right, DoubleType)))
+        a.makeCopy(Array(left, Cast(right, DoubleType)))
 
       // For equality between string and timestamp we cast the string to a timestamp
       // so that things like rounding of subsecond precision does not affect the comparison.
       case p @ Equality(left @ StringTypeExpression(), right @ TimestampTypeExpression()) =>
-        p.withNewChildren(Seq(Cast(left, TimestampType), right))
+        p.makeCopy(Array(Cast(left, TimestampType), right))
       case p @ Equality(left @ TimestampTypeExpression(), right @ StringTypeExpression()) =>
-        p.withNewChildren(Seq(left, Cast(right, TimestampType)))
+        p.makeCopy(Array(left, Cast(right, TimestampType)))
 
       case p @ BinaryComparison(left, right)
           if findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).isDefined =>
         val commonType = findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).get
-        p.withNewChildren(Seq(castExpr(left, commonType), castExpr(right, commonType)))
+        p.makeCopy(Array(castExpr(left, commonType), castExpr(right, commonType)))
     }
   }
 
diff --git a/sql/core/src/test/resources/log4j2.properties b/sql/core/src/test/resources/log4j2.properties
index d793d16ca6851..7ab47c16d4f94 100644
--- a/sql/core/src/test/resources/log4j2.properties
+++ b/sql/core/src/test/resources/log4j2.properties
@@ -50,7 +50,7 @@ logger.parquet_recordwriter.name = org.apache.parquet.hadoop.InternalParquetReco
 logger.parquet_recordwriter.additivity = false
 logger.parquet_recordwriter.level = off
 
-logger.parquet_outputcommitter.name = org.sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scalaapache.parquet.hadoop.ParquetOutputCommitter
+logger.parquet_outputcommitter.name = org.apache.parquet.hadoop.ParquetOutputCommitter
 logger.parquet_outputcommitter.additivity = false
 logger.parquet_outputcommitter.level = off
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
index 15fe614ff0d22..bbc07c22805a6 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
@@ -13,20 +13,6 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_add(2147483647, decimal(1))
--- !query analysis
-Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_add(2147483647, "1")
--- !query analysis
-Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#xL]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -225,20 +211,6 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_divide(1, decimal(0))
--- !query analysis
-Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_divide(1, "0")
--- !query analysis
-Project [try_divide(1, 0) AS try_divide(1, 0)#x]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -295,20 +267,6 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_subtract(2147483647, decimal(-1))
--- !query analysis
-Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_subtract(2147483647, "-1")
--- !query analysis
-Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#xL]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -393,20 +351,6 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_multiply(2147483647, decimal(-2))
--- !query analysis
-Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_multiply(2147483647, "-2")
--- !query analysis
-Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#xL]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
index ceda149c48434..bbc07c22805a6 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
@@ -13,20 +13,6 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_add(2147483647, decimal(1))
--- !query analysis
-Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_add(2147483647, "1")
--- !query analysis
-Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -225,20 +211,6 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_divide(1, decimal(0))
--- !query analysis
-Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_divide(1, "0")
--- !query analysis
-Project [try_divide(1, 0) AS try_divide(1, 0)#x]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -295,20 +267,6 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_subtract(2147483647, decimal(-1))
--- !query analysis
-Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_subtract(2147483647, "-1")
--- !query analysis
-Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -393,20 +351,6 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
--- !query
-SELECT try_multiply(2147483647, decimal(-2))
--- !query analysis
-Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
-+- OneRowRelation
-
-
--- !query
-SELECT try_multiply(2147483647, "-2")
--- !query analysis
-Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
-+- OneRowRelation
-
-
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
index 943865b68d39e..55907b6701e50 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
@@ -1,8 +1,6 @@
 -- Numeric + Numeric
 SELECT try_add(1, 1);
 SELECT try_add(2147483647, 1);
-SELECT try_add(2147483647, decimal(1));
-SELECT try_add(2147483647, "1");
 SELECT try_add(-2147483648, -1);
 SELECT try_add(9223372036854775807L, 1);
 SELECT try_add(-9223372036854775808L, -1);
@@ -40,8 +38,6 @@ SELECT try_divide(0, 0);
 SELECT try_divide(1, (2147483647 + 1));
 SELECT try_divide(1L, (9223372036854775807L + 1L));
 SELECT try_divide(1, 1.0 / 0.0);
-SELECT try_divide(1, decimal(0));
-SELECT try_divide(1, "0");
 
 -- Interval / Numeric
 SELECT try_divide(interval 2 year, 2);
@@ -54,8 +50,6 @@ SELECT try_divide(interval 106751991 day, 0.5);
 -- Numeric - Numeric
 SELECT try_subtract(1, 1);
 SELECT try_subtract(2147483647, -1);
-SELECT try_subtract(2147483647, decimal(-1));
-SELECT try_subtract(2147483647, "-1");
 SELECT try_subtract(-2147483648, 1);
 SELECT try_subtract(9223372036854775807L, -1);
 SELECT try_subtract(-9223372036854775808L, 1);
@@ -72,8 +66,6 @@ SELECT try_subtract(interval 106751991 day, interval -3 day);
 -- Numeric * Numeric
 SELECT try_multiply(2, 3);
 SELECT try_multiply(2147483647, -2);
-SELECT try_multiply(2147483647, decimal(-2));
-SELECT try_multiply(2147483647, "-2");
 SELECT try_multiply(-2147483648, 2);
 SELECT try_multiply(9223372036854775807L, 2);
 SELECT try_multiply(-9223372036854775808L, -2);
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
index bb630243ee1ae..414198b19645d 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
@@ -15,22 +15,6 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
--- !query
-SELECT try_add(2147483647, decimal(1))
--- !query schema
-struct<try_add(2147483647, 1):decimal(11,0)>
--- !query output
-2147483648
-
-
--- !query
-SELECT try_add(2147483647, "1")
--- !query schema
-struct<try_add(2147483647, 1):bigint>
--- !query output
-2147483648
-
-
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -357,22 +341,6 @@ org.apache.spark.SparkArithmeticException
 }
 
 
--- !query
-SELECT try_divide(1, decimal(0))
--- !query schema
-struct<try_divide(1, 0):decimal(12,11)>
--- !query output
-NULL
-
-
--- !query
-SELECT try_divide(1, "0")
--- !query schema
-struct<try_divide(1, 0):double>
--- !query output
-NULL
-
-
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -437,22 +405,6 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
--- !query
-SELECT try_subtract(2147483647, decimal(-1))
--- !query schema
-struct<try_subtract(2147483647, -1):decimal(11,0)>
--- !query output
-2147483648
-
-
--- !query
-SELECT try_subtract(2147483647, "-1")
--- !query schema
-struct<try_subtract(2147483647, -1):bigint>
--- !query output
-2147483648
-
-
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -595,22 +547,6 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
--- !query
-SELECT try_multiply(2147483647, decimal(-2))
--- !query schema
-struct<try_multiply(2147483647, -2):decimal(21,0)>
--- !query output
--4294967294
-
-
--- !query
-SELECT try_multiply(2147483647, "-2")
--- !query schema
-struct<try_multiply(2147483647, -2):bigint>
--- !query output
--4294967294
-
-
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
index 76f1d89b20927..c706a26078926 100644
--- a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
@@ -15,22 +15,6 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
--- !query
-SELECT try_add(2147483647, decimal(1))
--- !query schema
-struct<try_add(2147483647, 1):decimal(11,0)>
--- !query output
-2147483648
-
-
--- !query
-SELECT try_add(2147483647, "1")
--- !query schema
-struct<try_add(2147483647, 1):double>
--- !query output
-2.147483648E9
-
-
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -265,22 +249,6 @@ struct<try_divide(1, (1.0 / 0.0)):decimal(16,9)>
 NULL
 
 
--- !query
-SELECT try_divide(1, decimal(0))
--- !query schema
-struct<try_divide(1, 0):decimal(12,11)>
--- !query output
-NULL
-
-
--- !query
-SELECT try_divide(1, "0")
--- !query schema
-struct<try_divide(1, 0):double>
--- !query output
-NULL
-
-
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -345,22 +313,6 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
--- !query
-SELECT try_subtract(2147483647, decimal(-1))
--- !query schema
-struct<try_subtract(2147483647, -1):decimal(11,0)>
--- !query output
-2147483648
-
-
--- !query
-SELECT try_subtract(2147483647, "-1")
--- !query schema
-struct<try_subtract(2147483647, -1):double>
--- !query output
-2.147483648E9
-
-
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -457,22 +409,6 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
--- !query
-SELECT try_multiply(2147483647, decimal(-2))
--- !query schema
-struct<try_multiply(2147483647, -2):decimal(21,0)>
--- !query output
--4294967294
-
-
--- !query
-SELECT try_multiply(2147483647, "-2")
--- !query schema
-struct<try_multiply(2147483647, -2):double>
--- !query output
--4.294967294E9
-
-
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema

From 6a4475c0b8cbcc6fca5fe7a9cd499d05c428c418 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Wed, 1 May 2024 14:32:52 -0700
Subject: [PATCH 675/986] [SPARK-48016][SQL][3.5] Fix a bug in try_divide
 function when with decimals

### What changes were proposed in this pull request?

 Currently, the following query will throw DIVIDE_BY_ZERO error instead of returning null
 ```
SELECT try_divide(1, decimal(0));
```

This is caused by the rule `DecimalPrecision`:
```
case b  BinaryOperator(left, right) if left.dataType != right.dataType =>
  (left, right) match {
 ...
    case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
        l.dataType.isInstanceOf[IntegralType] &&
        literalPickMinimumPrecision =>
      b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
```
The result of the above makeCopy will contain `ANSI` as the `evalMode`, instead of `TRY`.
This PR is to fix this bug by replacing the makeCopy method calls with withNewChildren

### Why are the changes needed?

Bug fix in try_* functions.

### Does this PR introduce _any_ user-facing change?

Yes, it fixes a long-standing bug in the try_divide function.

### How was this patch tested?

New UT

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46323 from gengliangwang/pickFix.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../catalyst/analysis/DecimalPrecision.scala  | 14 ++--
 .../sql/catalyst/analysis/TypeCoercion.scala  | 10 +--
 .../ansi/try_arithmetic.sql.out               | 56 ++++++++++++++++
 .../analyzer-results/try_arithmetic.sql.out   | 56 ++++++++++++++++
 .../sql-tests/inputs/try_arithmetic.sql       |  8 +++
 .../results/ansi/try_arithmetic.sql.out       | 64 +++++++++++++++++++
 .../sql-tests/results/try_arithmetic.sql.out  | 64 +++++++++++++++++++
 7 files changed, 260 insertions(+), 12 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
index 09cf61a77955a..f51127f53b382 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala
@@ -83,7 +83,7 @@ object DecimalPrecision extends TypeCoercionRule {
       val resultType = widerDecimalType(p1, s1, p2, s2)
       val newE1 = if (e1.dataType == resultType) e1 else Cast(e1, resultType)
       val newE2 = if (e2.dataType == resultType) e2 else Cast(e2, resultType)
-      b.makeCopy(Array(newE1, newE2))
+      b.withNewChildren(Seq(newE1, newE2))
   }
 
   /**
@@ -202,21 +202,21 @@ object DecimalPrecision extends TypeCoercionRule {
         case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
             l.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
+          b.withNewChildren(Seq(Cast(l, DataTypeUtils.fromLiteral(l)), r))
         case (l, r: Literal) if l.dataType.isInstanceOf[DecimalType] &&
             r.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(l, Cast(r, DataTypeUtils.fromLiteral(r))))
+          b.withNewChildren(Seq(l, Cast(r, DataTypeUtils.fromLiteral(r))))
         // Promote integers inside a binary expression with fixed-precision decimals to decimals,
         // and fixed-precision decimals in an expression with floats / doubles to doubles
         case (l @ IntegralTypeExpression(), r @ DecimalExpression(_, _)) =>
-          b.makeCopy(Array(Cast(l, DecimalType.forType(l.dataType)), r))
+          b.withNewChildren(Seq(Cast(l, DecimalType.forType(l.dataType)), r))
         case (l @ DecimalExpression(_, _), r @ IntegralTypeExpression()) =>
-          b.makeCopy(Array(l, Cast(r, DecimalType.forType(r.dataType))))
+          b.withNewChildren(Seq(l, Cast(r, DecimalType.forType(r.dataType))))
         case (l, r @ DecimalExpression(_, _)) if isFloat(l.dataType) =>
-          b.makeCopy(Array(l, Cast(r, DoubleType)))
+          b.withNewChildren(Seq(l, Cast(r, DoubleType)))
         case (l @ DecimalExpression(_, _), r) if isFloat(r.dataType) =>
-          b.makeCopy(Array(Cast(l, DoubleType), r))
+          b.withNewChildren(Seq(Cast(l, DoubleType), r))
         case _ => b
       }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index 190e72a8e669e..c9a4a2d40246a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -1102,22 +1102,22 @@ object TypeCoercion extends TypeCoercionBase {
 
       case a @ BinaryArithmetic(left @ StringTypeExpression(), right)
         if right.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(Cast(left, DoubleType), right))
+        a.withNewChildren(Seq(Cast(left, DoubleType), right))
       case a @ BinaryArithmetic(left, right @ StringTypeExpression())
         if left.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(left, Cast(right, DoubleType)))
+        a.withNewChildren(Seq(left, Cast(right, DoubleType)))
 
       // For equality between string and timestamp we cast the string to a timestamp
       // so that things like rounding of subsecond precision does not affect the comparison.
       case p @ Equality(left @ StringTypeExpression(), right @ TimestampTypeExpression()) =>
-        p.makeCopy(Array(Cast(left, TimestampType), right))
+        p.withNewChildren(Seq(Cast(left, TimestampType), right))
       case p @ Equality(left @ TimestampTypeExpression(), right @ StringTypeExpression()) =>
-        p.makeCopy(Array(left, Cast(right, TimestampType)))
+        p.withNewChildren(Seq(left, Cast(right, TimestampType)))
 
       case p @ BinaryComparison(left, right)
           if findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).isDefined =>
         val commonType = findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).get
-        p.makeCopy(Array(castExpr(left, commonType), castExpr(right, commonType)))
+        p.withNewChildren(Seq(castExpr(left, commonType), castExpr(right, commonType)))
     }
   }
 
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
index bbc07c22805a6..15fe614ff0d22 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/try_arithmetic.sql.out
@@ -13,6 +13,20 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query analysis
+Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query analysis
+Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -211,6 +225,20 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query analysis
+Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query analysis
+Project [try_divide(1, 0) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -267,6 +295,20 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query analysis
+Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query analysis
+Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -351,6 +393,20 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query analysis
+Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query analysis
+Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#xL]
++- OneRowRelation
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
index bbc07c22805a6..ceda149c48434 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/try_arithmetic.sql.out
@@ -13,6 +13,20 @@ Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query analysis
+Project [try_add(2147483647, cast(1 as decimal(10,0))) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query analysis
+Project [try_add(2147483647, 1) AS try_add(2147483647, 1)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query analysis
@@ -211,6 +225,20 @@ Project [try_divide(1, (1.0 / 0.0)) AS try_divide(1, (1.0 / 0.0))#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query analysis
+Project [try_divide(1, cast(0 as decimal(10,0))) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query analysis
+Project [try_divide(1, 0) AS try_divide(1, 0)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query analysis
@@ -267,6 +295,20 @@ Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query analysis
+Project [try_subtract(2147483647, cast(-1 as decimal(10,0))) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query analysis
+Project [try_subtract(2147483647, -1) AS try_subtract(2147483647, -1)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query analysis
@@ -351,6 +393,20 @@ Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
 +- OneRowRelation
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query analysis
+Project [try_multiply(2147483647, cast(-2 as decimal(10,0))) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query analysis
+Project [try_multiply(2147483647, -2) AS try_multiply(2147483647, -2)#x]
++- OneRowRelation
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
index 55907b6701e50..943865b68d39e 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/try_arithmetic.sql
@@ -1,6 +1,8 @@
 -- Numeric + Numeric
 SELECT try_add(1, 1);
 SELECT try_add(2147483647, 1);
+SELECT try_add(2147483647, decimal(1));
+SELECT try_add(2147483647, "1");
 SELECT try_add(-2147483648, -1);
 SELECT try_add(9223372036854775807L, 1);
 SELECT try_add(-9223372036854775808L, -1);
@@ -38,6 +40,8 @@ SELECT try_divide(0, 0);
 SELECT try_divide(1, (2147483647 + 1));
 SELECT try_divide(1L, (9223372036854775807L + 1L));
 SELECT try_divide(1, 1.0 / 0.0);
+SELECT try_divide(1, decimal(0));
+SELECT try_divide(1, "0");
 
 -- Interval / Numeric
 SELECT try_divide(interval 2 year, 2);
@@ -50,6 +54,8 @@ SELECT try_divide(interval 106751991 day, 0.5);
 -- Numeric - Numeric
 SELECT try_subtract(1, 1);
 SELECT try_subtract(2147483647, -1);
+SELECT try_subtract(2147483647, decimal(-1));
+SELECT try_subtract(2147483647, "-1");
 SELECT try_subtract(-2147483648, 1);
 SELECT try_subtract(9223372036854775807L, -1);
 SELECT try_subtract(-9223372036854775808L, 1);
@@ -66,6 +72,8 @@ SELECT try_subtract(interval 106751991 day, interval -3 day);
 -- Numeric * Numeric
 SELECT try_multiply(2, 3);
 SELECT try_multiply(2147483647, -2);
+SELECT try_multiply(2147483647, decimal(-2));
+SELECT try_multiply(2147483647, "-2");
 SELECT try_multiply(-2147483648, 2);
 SELECT try_multiply(9223372036854775807L, 2);
 SELECT try_multiply(-9223372036854775808L, -2);
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
index 414198b19645d..bb630243ee1ae 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/try_arithmetic.sql.out
@@ -15,6 +15,22 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query schema
+struct<try_add(2147483647, 1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query schema
+struct<try_add(2147483647, 1):bigint>
+-- !query output
+2147483648
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -341,6 +357,22 @@ org.apache.spark.SparkArithmeticException
 }
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query schema
+struct<try_divide(1, 0):decimal(12,11)>
+-- !query output
+NULL
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query schema
+struct<try_divide(1, 0):double>
+-- !query output
+NULL
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -405,6 +437,22 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query schema
+struct<try_subtract(2147483647, -1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query schema
+struct<try_subtract(2147483647, -1):bigint>
+-- !query output
+2147483648
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -547,6 +595,22 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query schema
+struct<try_multiply(2147483647, -2):decimal(21,0)>
+-- !query output
+-4294967294
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query schema
+struct<try_multiply(2147483647, -2):bigint>
+-- !query output
+-4294967294
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
index c706a26078926..76f1d89b20927 100644
--- a/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/try_arithmetic.sql.out
@@ -15,6 +15,22 @@ struct<try_add(2147483647, 1):int>
 NULL
 
 
+-- !query
+SELECT try_add(2147483647, decimal(1))
+-- !query schema
+struct<try_add(2147483647, 1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_add(2147483647, "1")
+-- !query schema
+struct<try_add(2147483647, 1):double>
+-- !query output
+2.147483648E9
+
+
 -- !query
 SELECT try_add(-2147483648, -1)
 -- !query schema
@@ -249,6 +265,22 @@ struct<try_divide(1, (1.0 / 0.0)):decimal(16,9)>
 NULL
 
 
+-- !query
+SELECT try_divide(1, decimal(0))
+-- !query schema
+struct<try_divide(1, 0):decimal(12,11)>
+-- !query output
+NULL
+
+
+-- !query
+SELECT try_divide(1, "0")
+-- !query schema
+struct<try_divide(1, 0):double>
+-- !query output
+NULL
+
+
 -- !query
 SELECT try_divide(interval 2 year, 2)
 -- !query schema
@@ -313,6 +345,22 @@ struct<try_subtract(2147483647, -1):int>
 NULL
 
 
+-- !query
+SELECT try_subtract(2147483647, decimal(-1))
+-- !query schema
+struct<try_subtract(2147483647, -1):decimal(11,0)>
+-- !query output
+2147483648
+
+
+-- !query
+SELECT try_subtract(2147483647, "-1")
+-- !query schema
+struct<try_subtract(2147483647, -1):double>
+-- !query output
+2.147483648E9
+
+
 -- !query
 SELECT try_subtract(-2147483648, 1)
 -- !query schema
@@ -409,6 +457,22 @@ struct<try_multiply(2147483647, -2):int>
 NULL
 
 
+-- !query
+SELECT try_multiply(2147483647, decimal(-2))
+-- !query schema
+struct<try_multiply(2147483647, -2):decimal(21,0)>
+-- !query output
+-4294967294
+
+
+-- !query
+SELECT try_multiply(2147483647, "-2")
+-- !query schema
+struct<try_multiply(2147483647, -2):double>
+-- !query output
+-4.294967294E9
+
+
 -- !query
 SELECT try_multiply(-2147483648, 2)
 -- !query schema

From b6b8d61f09100de9bd0913a64e6e4ea3f0e78420 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 20 Nov 2023 08:30:42 +0900
Subject: [PATCH 676/986] [SPARK-45988][SPARK-45989][PYTHON] Fix typehints to
 handle `list` GenericAlias in Python 3.11+

### What changes were proposed in this pull request?

This PR aims to fix `type hints` to handle `list` GenericAlias in Python 3.11+ for Apache Spark 4.0.0 and 3.5.1.
- https://github.com/apache/spark/actions/workflows/build_python.yml

### Why are the changes needed?

PEP 646 changes `GenericAlias` instances into `Iterable` ones at Python 3.11.
- https://peps.python.org/pep-0646/

This behavior changes introduce the following failure on Python 3.11.

- **Python 3.11.6**

```python
Python 3.11.6 (main, Nov  1 2023, 07:46:30) [Clang 14.0.0 (clang-1400.0.28.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
23/11/18 16:34:09 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 3.5.0
      /_/

Using Python version 3.11.6 (main, Nov  1 2023 07:46:30)
Spark context Web UI available at http://localhost:4040
Spark context available as 'sc' (master = local[*], app id = local-1700354049391).
SparkSession available as 'spark'.
>>> from pyspark import pandas as ps
>>> from typing import List
>>> ps.DataFrame[float, [int, List[int]]]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/dongjoon/APACHE/spark-release/spark-3.5.0-bin-hadoop3/python/pyspark/pandas/frame.py", line 13647, in __class_getitem__
    return create_tuple_for_frame_type(params)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/dongjoon/APACHE/spark-release/spark-3.5.0-bin-hadoop3/python/pyspark/pandas/typedef/typehints.py", line 717, in create_tuple_for_frame_type
    return Tuple[_to_type_holders(params)]
                 ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/dongjoon/APACHE/spark-release/spark-3.5.0-bin-hadoop3/python/pyspark/pandas/typedef/typehints.py", line 762, in _to_type_holders
    data_types = _new_type_holders(data_types, NameTypeHolder)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/dongjoon/APACHE/spark-release/spark-3.5.0-bin-hadoop3/python/pyspark/pandas/typedef/typehints.py", line 828, in _new_type_holders
    raise TypeError(
TypeError: Type hints should be specified as one of:
  - DataFrame[type, type, ...]
  - DataFrame[name: type, name: type, ...]
  - DataFrame[dtypes instance]
  - DataFrame[zip(names, types)]
  - DataFrame[index_type, [type, ...]]
  - DataFrame[(index_name, index_type), [(name, type), ...]]
  - DataFrame[dtype instance, dtypes instance]
  - DataFrame[(index_name, index_type), zip(names, types)]
  - DataFrame[[index_type, ...], [type, ...]]
  - DataFrame[[(index_name, index_type), ...], [(name, type), ...]]
  - DataFrame[dtypes instance, dtypes instance]
  - DataFrame[zip(index_names, index_types), zip(names, types)]
However, got (<class 'int'>, typing.List[int]).
```

- **Python 3.10.13**

```python
Python 3.10.13 (main, Sep 29 2023, 16:03:45) [Clang 14.0.0 (clang-1400.0.28.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
23/11/18 16:33:21 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 3.5.0
      /_/

Using Python version 3.10.13 (main, Sep 29 2023 16:03:45)
Spark context Web UI available at http://localhost:4040
Spark context available as 'sc' (master = local[*], app id = local-1700354002048).
SparkSession available as 'spark'.
>>> from pyspark import pandas as ps
>>> from typing import List
>>> ps.DataFrame[float, [int, List[int]]]
typing.Tuple[pyspark.pandas.typedef.typehints.IndexNameType, pyspark.pandas.typedef.typehints.NameType, pyspark.pandas.typedef.typehints.NameType]
>>>
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs. Manually test with Python 3.11.

```
$ build/sbt -Phadoop-3 -Pkinesis-asl -Pyarn -Pkubernetes -Pdocker-integration-tests -Pconnect -Pspark-ganglia-lgpl -Pvolcano -Phadoop-cloud -Phive-thriftserver -Phive Test/package streaming-kinesis-asl-assembly/assembly connect/assembly
$ python/run-tests --modules pyspark-pandas-slow --python-executables python3.11
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #43888 from dongjoon-hyun/SPARK-45988.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/typedef/typehints.py | 18 +++++++++++++++---
 1 file changed, 15 insertions(+), 3 deletions(-)

diff --git a/python/pyspark/pandas/typedef/typehints.py b/python/pyspark/pandas/typedef/typehints.py
index 6e41395186d3d..012eabf958eb8 100644
--- a/python/pyspark/pandas/typedef/typehints.py
+++ b/python/pyspark/pandas/typedef/typehints.py
@@ -792,9 +792,21 @@ def _new_type_holders(
         isinstance(param, slice) and param.step is None and param.stop is not None
         for param in params
     )
-    is_unnamed_params = all(
-        not isinstance(param, slice) and not isinstance(param, Iterable) for param in params
-    )
+    if sys.version_info < (3, 11):
+        is_unnamed_params = all(
+            not isinstance(param, slice) and not isinstance(param, Iterable) for param in params
+        )
+    else:
+        # PEP 646 changes `GenericAlias` instances into iterable ones at Python 3.11
+        is_unnamed_params = all(
+            not isinstance(param, slice)
+            and (
+                not isinstance(param, Iterable)
+                or isinstance(param, typing.GenericAlias)
+                or isinstance(param, typing._GenericAlias)
+            )
+            for param in params
+        )
 
     if is_named_params:
         # DataFrame["id": int, "A": int]

From 3d72063ccec6167bd3fe92e24a0ebd11bec8637b Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Thu, 2 May 2024 07:22:44 -0700
Subject: [PATCH 677/986] [SPARK-48081] Fix ClassCastException in
 NTile.checkInputDataTypes() when argument is non-foldable or of wrong type

### What changes were proposed in this pull request?

While migrating the `NTile` expression's type check failures to the new error class framework, PR https://github.com/apache/spark/pull/38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned.

As a result, invalid usages like

```
select ntile(99.9) OVER (order by id) from range(10)
```

trigger internal errors like errors like

```
 java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap')
  at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99)
  at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877)
```

instead of clear error framework errors like

```
org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7;
'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))]
+- Range (0, 10, step=1, splits=None)

  at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315)
```

### Why are the changes needed?

Improve error messages.

### Does this PR introduce _any_ user-facing change?

Yes, it improves an error message.

### How was this patch tested?

Added a new test case to AnalysisErrorSuite.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46333 from JoshRosen/SPARK-48081.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit b99a64b0fd1cf4b32dd2f17423775db87bae20a6)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/windowExpressions.scala       |  4 +--
 .../analysis/AnalysisErrorSuite.scala         | 34 +++++++++++++++++++
 2 files changed, 36 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
index 50c98c01645d9..a4ce78d1bb6d1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
@@ -850,7 +850,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
   // for each partition.
   override def checkInputDataTypes(): TypeCheckResult = {
     if (!buckets.foldable) {
-      DataTypeMismatch(
+      return DataTypeMismatch(
         errorSubClass = "NON_FOLDABLE_INPUT",
         messageParameters = Map(
           "inputName" -> "buckets",
@@ -861,7 +861,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
     }
 
     if (buckets.dataType != IntegerType) {
-      DataTypeMismatch(
+      return DataTypeMismatch(
         errorSubClass = "UNEXPECTED_INPUT_TYPE",
         messageParameters = Map(
           "paramIndex" -> "1",
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index e8dc9061199cf..48d9266542f19 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -344,6 +344,40 @@ class AnalysisErrorSuite extends AnalysisTest {
       "inputType" -> "\"BOOLEAN\"",
       "requiredType" -> "\"INT\""))
 
+  errorClassTest(
+    "the buckets of ntile window function is not foldable",
+    testRelation2.select(
+      WindowExpression(
+        NTile(Literal(99.9f)),
+        WindowSpecDefinition(
+          UnresolvedAttribute("a") :: Nil,
+          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
+          UnspecifiedFrame)).as("window")),
+    errorClass = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
+    messageParameters = Map(
+      "sqlExpr" -> "\"ntile(99.9)\"",
+      "paramIndex" -> "first",
+      "inputSql" -> "\"99.9\"",
+      "inputType" -> "\"FLOAT\"",
+      "requiredType" -> "\"INT\""))
+
+
+  errorClassTest(
+    "the buckets of ntile window function is not int literal",
+    testRelation2.select(
+      WindowExpression(
+        NTile(AttributeReference("b", IntegerType)()),
+        WindowSpecDefinition(
+          UnresolvedAttribute("a") :: Nil,
+          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
+          UnspecifiedFrame)).as("window")),
+    errorClass = "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+    messageParameters = Map(
+      "sqlExpr" -> "\"ntile(b)\"",
+      "inputName" -> "`buckets`",
+      "inputExpr" -> "\"b\"",
+      "inputType" -> "\"INT\""))
+
   errorClassTest(
     "unresolved attributes",
     testRelation.select($"abcd"),

From d82403f980334cd40b1f24518c9c766827710c8c Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 2 May 2024 08:42:24 -0700
Subject: [PATCH 678/986] Revert "[SPARK-48081] Fix ClassCastException in
 NTile.checkInputDataTypes() when argument is non-foldable or of wrong type"

This reverts commit 3d72063ccec6167bd3fe92e24a0ebd11bec8637b.
---
 .../expressions/windowExpressions.scala       |  4 +--
 .../analysis/AnalysisErrorSuite.scala         | 34 -------------------
 2 files changed, 2 insertions(+), 36 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
index a4ce78d1bb6d1..50c98c01645d9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
@@ -850,7 +850,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
   // for each partition.
   override def checkInputDataTypes(): TypeCheckResult = {
     if (!buckets.foldable) {
-      return DataTypeMismatch(
+      DataTypeMismatch(
         errorSubClass = "NON_FOLDABLE_INPUT",
         messageParameters = Map(
           "inputName" -> "buckets",
@@ -861,7 +861,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
     }
 
     if (buckets.dataType != IntegerType) {
-      return DataTypeMismatch(
+      DataTypeMismatch(
         errorSubClass = "UNEXPECTED_INPUT_TYPE",
         messageParameters = Map(
           "paramIndex" -> "1",
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index 48d9266542f19..e8dc9061199cf 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -344,40 +344,6 @@ class AnalysisErrorSuite extends AnalysisTest {
       "inputType" -> "\"BOOLEAN\"",
       "requiredType" -> "\"INT\""))
 
-  errorClassTest(
-    "the buckets of ntile window function is not foldable",
-    testRelation2.select(
-      WindowExpression(
-        NTile(Literal(99.9f)),
-        WindowSpecDefinition(
-          UnresolvedAttribute("a") :: Nil,
-          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
-          UnspecifiedFrame)).as("window")),
-    errorClass = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
-    messageParameters = Map(
-      "sqlExpr" -> "\"ntile(99.9)\"",
-      "paramIndex" -> "first",
-      "inputSql" -> "\"99.9\"",
-      "inputType" -> "\"FLOAT\"",
-      "requiredType" -> "\"INT\""))
-
-
-  errorClassTest(
-    "the buckets of ntile window function is not int literal",
-    testRelation2.select(
-      WindowExpression(
-        NTile(AttributeReference("b", IntegerType)()),
-        WindowSpecDefinition(
-          UnresolvedAttribute("a") :: Nil,
-          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
-          UnspecifiedFrame)).as("window")),
-    errorClass = "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
-    messageParameters = Map(
-      "sqlExpr" -> "\"ntile(b)\"",
-      "inputName" -> "`buckets`",
-      "inputExpr" -> "\"b\"",
-      "inputType" -> "\"INT\""))
-
   errorClassTest(
     "unresolved attributes",
     testRelation.select($"abcd"),

From 9cd312574e9706e9a1784c18ef1c1bccb957bcba Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Thu, 2 May 2024 12:49:54 -0700
Subject: [PATCH 679/986] [SPARK-48081][SQL][3.5] Fix ClassCastException in
 NTile.checkInputDataTypes() when argument is non-foldable or of wrong type

branch-3.5 pick of PR https://github.com/apache/spark/pull/46333 , fixing test issue due to difference in expected error message parameter formatting across branches; original description follows below:

---

### What changes were proposed in this pull request?

While migrating the `NTile` expression's type check failures to the new error class framework, PR https://github.com/apache/spark/pull/38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned.

As a result, invalid usages like

```
select ntile(99.9) OVER (order by id) from range(10)
```

trigger internal errors like errors like

```
 java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap')
  at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99)
  at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877)
```

instead of clear error framework errors like

```
org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7;
'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))]
+- Range (0, 10, step=1, splits=None)

  at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315)
```

### Why are the changes needed?

Improve error messages.

### Does this PR introduce _any_ user-facing change?

Yes, it improves an error message.

### How was this patch tested?

Added a new test case to AnalysisErrorSuite.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46336 from JoshRosen/SPARK-48081-branch-3.5.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/windowExpressions.scala       |  4 +--
 .../analysis/AnalysisErrorSuite.scala         | 34 +++++++++++++++++++
 2 files changed, 36 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
index 50c98c01645d9..a4ce78d1bb6d1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
@@ -850,7 +850,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
   // for each partition.
   override def checkInputDataTypes(): TypeCheckResult = {
     if (!buckets.foldable) {
-      DataTypeMismatch(
+      return DataTypeMismatch(
         errorSubClass = "NON_FOLDABLE_INPUT",
         messageParameters = Map(
           "inputName" -> "buckets",
@@ -861,7 +861,7 @@ case class NTile(buckets: Expression) extends RowNumberLike with SizeBasedWindow
     }
 
     if (buckets.dataType != IntegerType) {
-      DataTypeMismatch(
+      return DataTypeMismatch(
         errorSubClass = "UNEXPECTED_INPUT_TYPE",
         messageParameters = Map(
           "paramIndex" -> "1",
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index e8dc9061199cf..a7df53db936f3 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -344,6 +344,40 @@ class AnalysisErrorSuite extends AnalysisTest {
       "inputType" -> "\"BOOLEAN\"",
       "requiredType" -> "\"INT\""))
 
+  errorClassTest(
+    "the buckets of ntile window function is not foldable",
+    testRelation2.select(
+      WindowExpression(
+        NTile(Literal(99.9f)),
+        WindowSpecDefinition(
+          UnresolvedAttribute("a") :: Nil,
+          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
+          UnspecifiedFrame)).as("window")),
+    errorClass = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE",
+    messageParameters = Map(
+      "sqlExpr" -> "\"ntile(99.9)\"",
+      "paramIndex" -> "1",
+      "inputSql" -> "\"99.9\"",
+      "inputType" -> "\"FLOAT\"",
+      "requiredType" -> "\"INT\""))
+
+
+  errorClassTest(
+    "the buckets of ntile window function is not int literal",
+    testRelation2.select(
+      WindowExpression(
+        NTile(AttributeReference("b", IntegerType)()),
+        WindowSpecDefinition(
+          UnresolvedAttribute("a") :: Nil,
+          SortOrder(UnresolvedAttribute("b"), Ascending) :: Nil,
+          UnspecifiedFrame)).as("window")),
+    errorClass = "DATATYPE_MISMATCH.NON_FOLDABLE_INPUT",
+    messageParameters = Map(
+      "sqlExpr" -> "\"ntile(b)\"",
+      "inputName" -> "buckets",
+      "inputExpr" -> "\"b\"",
+      "inputType" -> "\"INT\""))
+
   errorClassTest(
     "unresolved attributes",
     testRelation.select($"abcd"),

From 71cb9306085b07b63f2474e05144334cb7e4109d Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 3 May 2024 15:20:29 +0900
Subject: [PATCH 680/986] [SPARK-48088][PYTHON][CONNECT][TESTS][3.5] Skip tests
 that fail in 3.5 client <> 4.0 server

### What changes were proposed in this pull request?

This PR proposes to skip the tests that fail with 3.5 client and 4.0 server in Spark Connect (by adding `SPARK_SKIP_CONNECT_COMPAT_TESTS`). This is a base work for https://github.com/apache/spark/pull/46298. This partially backports https://github.com/apache/spark/pull/45870

This PR also adds `SPARK_CONNECT_TESTING_REMOTE` environment variable so developers can run PySpark unittests against a Spark Connect server.

### Why are the changes needed?

In order to set up the CI that tests 3.5 client and 4.0 server in Spark Connect.

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Tested it in my fork, see https://github.com/apache/spark/pull/46298

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46334 from HyukjinKwon/SPARK-48088.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/ml/connect/functions.py        |  3 +-
 .../connect/test_connect_classification.py    |  8 +-
 .../tests/connect/test_connect_evaluation.py  | 10 ++-
 .../ml/tests/connect/test_connect_feature.py  |  7 +-
 .../ml/tests/connect/test_connect_function.py |  1 +
 .../ml/tests/connect/test_connect_pipeline.py |  5 +-
 .../tests/connect/test_connect_summarizer.py  |  7 +-
 .../ml/tests/connect/test_connect_tuning.py   |  5 +-
 .../connect/test_parity_torch_data_loader.py  |  3 +-
 .../connect/test_parity_torch_distributor.py  |  4 +-
 .../ml/torch/tests/test_data_loader.py        |  3 +-
 python/pyspark/sql/connect/avro/functions.py  |  2 +-
 python/pyspark/sql/connect/catalog.py         |  5 +-
 python/pyspark/sql/connect/column.py          |  5 +-
 python/pyspark/sql/connect/conf.py            |  5 +-
 python/pyspark/sql/connect/dataframe.py       |  2 +-
 python/pyspark/sql/connect/functions.py       |  3 +-
 python/pyspark/sql/connect/group.py           |  5 +-
 .../pyspark/sql/connect/protobuf/functions.py |  2 +-
 python/pyspark/sql/connect/readwriter.py      |  3 +-
 python/pyspark/sql/connect/session.py         |  5 +-
 python/pyspark/sql/connect/streaming/query.py |  2 +-
 .../sql/connect/streaming/readwriter.py       |  3 +-
 python/pyspark/sql/connect/window.py          |  5 +-
 python/pyspark/sql/dataframe.py               |  8 +-
 python/pyspark/sql/functions.py               |  6 +-
 .../sql/tests/connect/client/test_artifact.py |  4 +-
 .../connect/streaming/test_parity_listener.py |  6 +-
 .../streaming/test_parity_streaming.py        |  9 +-
 .../sql/tests/connect/test_connect_basic.py   |  7 +-
 .../tests/connect/test_connect_function.py    |  1 +
 .../connect/test_parity_pandas_udf_scalar.py  |  5 ++
 .../sql/tests/connect/test_parity_udtf.py     | 86 +++++++++++++++++++
 .../pyspark/sql/tests/connect/test_utils.py   |  8 +-
 .../sql/tests/pandas/test_pandas_map.py       |  2 +-
 .../sql/tests/pandas/test_pandas_udf.py       | 10 ++-
 python/pyspark/sql/tests/test_datasources.py  |  6 +-
 python/pyspark/sql/tests/test_types.py        |  3 +
 python/pyspark/testing/connectutils.py        |  2 +-
 python/run-tests.py                           | 25 ++++--
 40 files changed, 234 insertions(+), 57 deletions(-)

diff --git a/python/pyspark/ml/connect/functions.py b/python/pyspark/ml/connect/functions.py
index ab7e3ab3c9adc..d8aa54dcf9bee 100644
--- a/python/pyspark/ml/connect/functions.py
+++ b/python/pyspark/ml/connect/functions.py
@@ -39,6 +39,7 @@ def array_to_vector(col: Column) -> Column:
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -54,7 +55,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("ml.connect.functions tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/ml/tests/connect/test_connect_classification.py b/python/pyspark/ml/tests/connect/test_connect_classification.py
index f3e621c19f0f0..2763d3f613ae8 100644
--- a/python/pyspark/ml/tests/connect/test_connect_classification.py
+++ b/python/pyspark/ml/tests/connect/test_connect_classification.py
@@ -15,12 +15,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
 import unittest
+import os
+
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_classification import ClassificationTestsMixin
 
-have_torch = True
+# TODO(SPARK-48083): Reenable this test case
+have_torch = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torch  # noqa: F401
 except ImportError:
@@ -31,7 +33,7 @@
 class ClassificationTestsOnConnect(ClassificationTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (
-            SparkSession.builder.remote("local[2]")
+            SparkSession.builder.remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
             .config("spark.connect.copyFromLocalToFs.allowDestLocal", "true")
             .getOrCreate()
         )
diff --git a/python/pyspark/ml/tests/connect/test_connect_evaluation.py b/python/pyspark/ml/tests/connect/test_connect_evaluation.py
index ce7cf03049d3c..35af54605ca81 100644
--- a/python/pyspark/ml/tests/connect/test_connect_evaluation.py
+++ b/python/pyspark/ml/tests/connect/test_connect_evaluation.py
@@ -14,12 +14,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
+
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_evaluation import EvaluationTestsMixin
 
-have_torcheval = True
+# TODO(SPARK-48084): Reenable this test case
+have_torcheval = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torcheval  # noqa: F401
 except ImportError:
@@ -29,7 +31,9 @@
 @unittest.skipIf(not have_torcheval, "torcheval is required")
 class EvaluationTestsOnConnect(EvaluationTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
-        self.spark = SparkSession.builder.remote("local[2]").getOrCreate()
+        self.spark = SparkSession.builder.remote(
+            os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
+        ).getOrCreate()
 
     def tearDown(self) -> None:
         self.spark.stop()
diff --git a/python/pyspark/ml/tests/connect/test_connect_feature.py b/python/pyspark/ml/tests/connect/test_connect_feature.py
index d7698c3772201..49021f6e82c5a 100644
--- a/python/pyspark/ml/tests/connect/test_connect_feature.py
+++ b/python/pyspark/ml/tests/connect/test_connect_feature.py
@@ -14,15 +14,18 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
+
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_feature import FeatureTestsMixin
 
 
 class FeatureTestsOnConnect(FeatureTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
-        self.spark = SparkSession.builder.remote("local[2]").getOrCreate()
+        self.spark = SparkSession.builder.remote(
+            os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
+        ).getOrCreate()
 
     def tearDown(self) -> None:
         self.spark.stop()
diff --git a/python/pyspark/ml/tests/connect/test_connect_function.py b/python/pyspark/ml/tests/connect/test_connect_function.py
index 7da3d3f1addd8..fc3344ecebfe2 100644
--- a/python/pyspark/ml/tests/connect/test_connect_function.py
+++ b/python/pyspark/ml/tests/connect/test_connect_function.py
@@ -33,6 +33,7 @@
     from pyspark.ml.connect import functions as CF
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class SparkConnectMLFunctionTests(ReusedConnectTestCase, PandasOnSparkTestUtils, SQLTestUtils):
     """These test cases exercise the interface to the proto plan
     generation but do not call Spark."""
diff --git a/python/pyspark/ml/tests/connect/test_connect_pipeline.py b/python/pyspark/ml/tests/connect/test_connect_pipeline.py
index e676c8bfee955..dc7490bf14b12 100644
--- a/python/pyspark/ml/tests/connect/test_connect_pipeline.py
+++ b/python/pyspark/ml/tests/connect/test_connect_pipeline.py
@@ -15,8 +15,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
+
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_pipeline import PipelineTestsMixin
 
@@ -24,7 +25,7 @@
 class PipelineTestsOnConnect(PipelineTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (
-            SparkSession.builder.remote("local[2]")
+            SparkSession.builder.remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
             .config("spark.connect.copyFromLocalToFs.allowDestLocal", "true")
             .getOrCreate()
         )
diff --git a/python/pyspark/ml/tests/connect/test_connect_summarizer.py b/python/pyspark/ml/tests/connect/test_connect_summarizer.py
index 0b0537dfee3cd..28cfa4b4dc1b3 100644
--- a/python/pyspark/ml/tests/connect/test_connect_summarizer.py
+++ b/python/pyspark/ml/tests/connect/test_connect_summarizer.py
@@ -14,15 +14,18 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
+
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_summarizer import SummarizerTestsMixin
 
 
 class SummarizerTestsOnConnect(SummarizerTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
-        self.spark = SparkSession.builder.remote("local[2]").getOrCreate()
+        self.spark = SparkSession.builder.remote(
+            os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
+        ).getOrCreate()
 
     def tearDown(self) -> None:
         self.spark.stop()
diff --git a/python/pyspark/ml/tests/connect/test_connect_tuning.py b/python/pyspark/ml/tests/connect/test_connect_tuning.py
index 18673d4b26be9..901367e44d20b 100644
--- a/python/pyspark/ml/tests/connect/test_connect_tuning.py
+++ b/python/pyspark/ml/tests/connect/test_connect_tuning.py
@@ -15,16 +15,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_tuning import CrossValidatorTestsMixin
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class CrossValidatorTestsOnConnect(CrossValidatorTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (
-            SparkSession.builder.remote("local[2]")
+            SparkSession.builder.remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
             .config("spark.connect.copyFromLocalToFs.allowDestLocal", "true")
             .getOrCreate()
         )
diff --git a/python/pyspark/ml/tests/connect/test_parity_torch_data_loader.py b/python/pyspark/ml/tests/connect/test_parity_torch_data_loader.py
index 18556633d89f8..60f683bf726ca 100644
--- a/python/pyspark/ml/tests/connect/test_parity_torch_data_loader.py
+++ b/python/pyspark/ml/tests/connect/test_parity_torch_data_loader.py
@@ -15,10 +15,11 @@
 # limitations under the License.
 #
 
+import os
 import unittest
 from pyspark.sql import SparkSession
 
-have_torch = True
+have_torch = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torch  # noqa: F401
 except ImportError:
diff --git a/python/pyspark/ml/tests/connect/test_parity_torch_distributor.py b/python/pyspark/ml/tests/connect/test_parity_torch_distributor.py
index b855332f96c42..238775ded2a21 100644
--- a/python/pyspark/ml/tests/connect/test_parity_torch_distributor.py
+++ b/python/pyspark/ml/tests/connect/test_parity_torch_distributor.py
@@ -19,7 +19,7 @@
 import shutil
 import unittest
 
-have_torch = True
+have_torch = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torch  # noqa: F401
 except ImportError:
@@ -81,7 +81,7 @@ def _get_inputs_for_test_local_training_succeeds(self):
         ]
 
 
-@unittest.skipIf(not have_torch, "torch is required")
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class TorchDistributorLocalUnitTestsIIOnConnect(
     TorchDistributorLocalUnitTestsMixin, unittest.TestCase
 ):
diff --git a/python/pyspark/ml/torch/tests/test_data_loader.py b/python/pyspark/ml/torch/tests/test_data_loader.py
index 67ab6e378ceaa..f7814f8195416 100644
--- a/python/pyspark/ml/torch/tests/test_data_loader.py
+++ b/python/pyspark/ml/torch/tests/test_data_loader.py
@@ -15,10 +15,11 @@
 # limitations under the License.
 #
 
+import os
 import numpy as np
 import unittest
 
-have_torch = True
+have_torch = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torch  # noqa: F401
 except ImportError:
diff --git a/python/pyspark/sql/connect/avro/functions.py b/python/pyspark/sql/connect/avro/functions.py
index bf019ef8fe7d7..821660fdbd302 100644
--- a/python/pyspark/sql/connect/avro/functions.py
+++ b/python/pyspark/sql/connect/avro/functions.py
@@ -85,7 +85,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.avro.functions tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/catalog.py b/python/pyspark/sql/connect/catalog.py
index 2a54a0d727af9..069a8d013ff32 100644
--- a/python/pyspark/sql/connect/catalog.py
+++ b/python/pyspark/sql/connect/catalog.py
@@ -326,6 +326,7 @@ def registerFunction(
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -333,7 +334,9 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.catalog.__dict__.copy()
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.catalog tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.catalog tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     (failure_count, test_count) = doctest.testmod(
diff --git a/python/pyspark/sql/connect/column.py b/python/pyspark/sql/connect/column.py
index 0529293816338..464f5397b85b6 100644
--- a/python/pyspark/sql/connect/column.py
+++ b/python/pyspark/sql/connect/column.py
@@ -483,6 +483,7 @@ def __nonzero__(self) -> None:
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -490,7 +491,9 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.column.__dict__.copy()
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.column tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.column tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     (failure_count, test_count) = doctest.testmod(
diff --git a/python/pyspark/sql/connect/conf.py b/python/pyspark/sql/connect/conf.py
index d323de716c46a..cb296a750e62f 100644
--- a/python/pyspark/sql/connect/conf.py
+++ b/python/pyspark/sql/connect/conf.py
@@ -97,6 +97,7 @@ def _checkType(self, obj: Any, identifier: str) -> None:
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -104,7 +105,9 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.conf.__dict__.copy()
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.conf tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.conf tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     (failure_count, test_count) = doctest.testmod(
diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 7b326538a8e0a..ff61916420258 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -2150,7 +2150,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.dataframe tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/functions.py b/python/pyspark/sql/connect/functions.py
index e2583f84c417c..ecb800bbee93d 100644
--- a/python/pyspark/sql/connect/functions.py
+++ b/python/pyspark/sql/connect/functions.py
@@ -3906,6 +3906,7 @@ def call_function(funcName: str, *cols: "ColumnOrName") -> Column:
 
 def _test() -> None:
     import sys
+    import os
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
     import pyspark.sql.connect.functions
@@ -3914,7 +3915,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.functions tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/group.py b/python/pyspark/sql/connect/group.py
index a393d2cb37e89..2d5a66fd6ef92 100644
--- a/python/pyspark/sql/connect/group.py
+++ b/python/pyspark/sql/connect/group.py
@@ -388,6 +388,7 @@ def _extract_cols(gd: "GroupedData") -> List[Column]:
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -396,7 +397,9 @@ def _test() -> None:
     globs = pyspark.sql.connect.group.__dict__.copy()
 
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.group tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.group tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     (failure_count, test_count) = doctest.testmod(
diff --git a/python/pyspark/sql/connect/protobuf/functions.py b/python/pyspark/sql/connect/protobuf/functions.py
index 56119f4bc4eb9..c8e12640b3136 100644
--- a/python/pyspark/sql/connect/protobuf/functions.py
+++ b/python/pyspark/sql/connect/protobuf/functions.py
@@ -144,7 +144,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.protobuf.functions tests")
-        .remote("local[2]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/readwriter.py b/python/pyspark/sql/connect/readwriter.py
index cfcbcede34873..7cfdf9910d7e0 100644
--- a/python/pyspark/sql/connect/readwriter.py
+++ b/python/pyspark/sql/connect/readwriter.py
@@ -830,6 +830,7 @@ def overwritePartitions(self) -> None:
 
 def _test() -> None:
     import sys
+    import os
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
     import pyspark.sql.connect.readwriter
@@ -838,7 +839,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.readwriter tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py
index 1307c8bdd84e1..10d599ca397b9 100644
--- a/python/pyspark/sql/connect/session.py
+++ b/python/pyspark/sql/connect/session.py
@@ -910,6 +910,7 @@ def session_id(self) -> str:
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -917,7 +918,9 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.session.__dict__.copy()
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.session tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.session tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     # Uses PySpark session to test builder.
diff --git a/python/pyspark/sql/connect/streaming/query.py b/python/pyspark/sql/connect/streaming/query.py
index 021d27e939de8..7d968b175f281 100644
--- a/python/pyspark/sql/connect/streaming/query.py
+++ b/python/pyspark/sql/connect/streaming/query.py
@@ -276,7 +276,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.streaming.query tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/streaming/readwriter.py b/python/pyspark/sql/connect/streaming/readwriter.py
index 89097fcf43a01..afee833fda4e9 100644
--- a/python/pyspark/sql/connect/streaming/readwriter.py
+++ b/python/pyspark/sql/connect/streaming/readwriter.py
@@ -586,6 +586,7 @@ def toTable(
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -595,7 +596,7 @@ def _test() -> None:
 
     globs["spark"] = (
         PySparkSession.builder.appName("sql.connect.streaming.readwriter tests")
-        .remote("local[4]")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
         .getOrCreate()
     )
 
diff --git a/python/pyspark/sql/connect/window.py b/python/pyspark/sql/connect/window.py
index ad082c6e265db..922a641c2428c 100644
--- a/python/pyspark/sql/connect/window.py
+++ b/python/pyspark/sql/connect/window.py
@@ -235,6 +235,7 @@ def rangeBetween(start: int, end: int) -> "WindowSpec":
 
 
 def _test() -> None:
+    import os
     import sys
     import doctest
     from pyspark.sql import SparkSession as PySparkSession
@@ -242,7 +243,9 @@ def _test() -> None:
 
     globs = pyspark.sql.connect.window.__dict__.copy()
     globs["spark"] = (
-        PySparkSession.builder.appName("sql.connect.window tests").remote("local[4]").getOrCreate()
+        PySparkSession.builder.appName("sql.connect.window tests")
+        .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
+        .getOrCreate()
     )
 
     (failure_count, test_count) = doctest.testmod(
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 97f60967da70e..afa979dab019e 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -1513,7 +1513,7 @@ def cache(self) -> "DataFrame":
         >>> df.cache()
         DataFrame[id: bigint]
 
-        >>> df.explain()
+        >>> df.explain()  # doctest: +SKIP
         == Physical Plan ==
         AdaptiveSparkPlan isFinalPlan=false
         +- InMemoryTableScan ...
@@ -1556,7 +1556,7 @@ def persist(
         >>> df.persist()
         DataFrame[id: bigint]
 
-        >>> df.explain()
+        >>> df.explain()  # doctest: +SKIP
         == Physical Plan ==
         AdaptiveSparkPlan isFinalPlan=false
         +- InMemoryTableScan ...
@@ -3887,8 +3887,8 @@ def union(self, other: "DataFrame") -> "DataFrame":
         >>> df2 = spark.createDataFrame([(3, "Charlie"), (4, "Dave")], ["id", "name"])
         >>> df1 = df1.withColumn("age", lit(30))
         >>> df2 = df2.withColumn("age", lit(40))
-        >>> df3 = df1.union(df2)
-        >>> df3.show()
+        >>> df3 = df1.union(df2)  # doctest: +SKIP
+        >>> df3.show()  # doctest: +SKIP
         +-----+-------+---+
         | name|     id|age|
         +-----+-------+---+
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 06cb3063d1b16..7e1a8faf00178 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -7973,7 +7973,7 @@ def to_unix_timestamp(
 
     >>> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
     >>> df = spark.createDataFrame([("2016-04-08",)], ["e"])
-    >>> df.select(to_unix_timestamp(df.e).alias('r')).collect()
+    >>> df.select(to_unix_timestamp(df.e).alias('r')).collect()  # doctest: +SKIP
     [Row(r=None)]
     >>> spark.conf.unset("spark.sql.session.timeZone")
     """
@@ -8084,7 +8084,7 @@ def current_database() -> Column:
 
     Examples
     --------
-    >>> spark.range(1).select(current_database()).show()
+    >>> spark.range(1).select(current_database()).show()  # doctest: +SKIP
     +------------------+
     |current_database()|
     +------------------+
@@ -8103,7 +8103,7 @@ def current_schema() -> Column:
     Examples
     --------
     >>> import pyspark.sql.functions as sf
-    >>> spark.range(1).select(sf.current_schema()).show()
+    >>> spark.range(1).select(sf.current_schema()).show()  # doctest: +SKIP
     +------------------+
     |current_database()|
     +------------------+
diff --git a/python/pyspark/sql/tests/connect/client/test_artifact.py b/python/pyspark/sql/tests/connect/client/test_artifact.py
index d45230e926b16..cf3eea0b55607 100644
--- a/python/pyspark/sql/tests/connect/client/test_artifact.py
+++ b/python/pyspark/sql/tests/connect/client/test_artifact.py
@@ -146,6 +146,7 @@ def test_add_file(self):
         )
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class ArtifactTests(ReusedConnectTestCase, ArtifactTestsMixin):
     @classmethod
     def root(cls):
@@ -389,6 +390,7 @@ def test_cache_artifact(self):
         self.assertEqual(self.artifact_manager.is_cached_artifact(expected_hash), True)
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires local-cluster")
 class LocalClusterArtifactTests(ReusedConnectTestCase, ArtifactTestsMixin):
     @classmethod
     def conf(cls):
@@ -403,7 +405,7 @@ def root(cls):
 
     @classmethod
     def master(cls):
-        return "local-cluster[2,2,512]"
+        return os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local-cluster[2,2,512]")
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 5069a76cfdb73..35ca2681cc97c 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
 import time
 
@@ -45,6 +45,10 @@ def onQueryTerminated(self, event):
         df.write.mode("append").saveAsTable("listener_terminated_events")
 
 
+# TODO(SPARK-48089): Reenable this test case
+@unittest.skipIf(
+    "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+)
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
     def test_listener_events(self):
         test_listener = TestListener()
diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
index 6fe2b89408014..e7c1958064bb2 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
@@ -14,13 +14,20 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import os
+import unittest
 
 from pyspark.sql.tests.streaming.test_streaming import StreamingTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
 class StreamingParityTests(StreamingTestsMixin, ReusedConnectTestCase):
-    pass
+    # TODO(SPARK-48090): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_stream_exception(self):
+        super(StreamingParityTests, self).test_stream_exception()
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 2904eb42587e8..48e5248e28f53 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -80,6 +80,7 @@
     from pyspark.sql.connect.client.core import Retrying, SparkConnectClient
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class SparkConnectSQLTestCase(ReusedConnectTestCase, SQLTestUtils, PandasOnSparkTestUtils):
     """Parent test fixture class for all Spark Connect related
     test cases."""
@@ -3250,12 +3251,15 @@ def test_df_caache(self):
         self.assertTrue(df.is_cached)
 
 
+@unittest.skipIf(
+    "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Session creation different from local mode"
+)
 class SparkConnectSessionTests(ReusedConnectTestCase):
     def setUp(self) -> None:
         self.spark = (
             PySparkSession.builder.config(conf=self.conf())
             .appName(self.__class__.__name__)
-            .remote("local[4]")
+            .remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]"))
             .getOrCreate()
         )
 
@@ -3347,6 +3351,7 @@ def test_can_create_multiple_sessions_to_different_remotes(self):
             self.assertIn("Create a new SparkSession is only supported with SparkConnect.", str(e))
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class SparkConnectSessionWithOptionsTest(unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (
diff --git a/python/pyspark/sql/tests/connect/test_connect_function.py b/python/pyspark/sql/tests/connect/test_connect_function.py
index a5d330fe1a7e9..dc101e98e01d4 100644
--- a/python/pyspark/sql/tests/connect/test_connect_function.py
+++ b/python/pyspark/sql/tests/connect/test_connect_function.py
@@ -36,6 +36,7 @@
     from pyspark.sql.connect.dataframe import DataFrame as CDF
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class SparkConnectFunctionTests(ReusedConnectTestCase, PandasOnSparkTestUtils, SQLTestUtils):
     """These test cases exercise the interface to the proto plan
     generation but do not call Spark."""
diff --git a/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py b/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
index c950ca2e17c3c..960f7f11e873f 100644
--- a/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
+++ b/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import os
 import unittest
 from pyspark.sql.tests.pandas.test_pandas_udf_scalar import ScalarPandasUDFTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
@@ -31,6 +32,10 @@ def test_vectorized_udf_empty_partition(self):
     def test_vectorized_udf_struct_with_empty_partition(self):
         super().test_vectorized_udf_struct_with_empty_partition()
 
+    # TODO(SPARK-48086): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_vectorized_udf_exception(self):
         self.check_vectorized_udf_exception()
 
diff --git a/python/pyspark/sql/tests/connect/test_parity_udtf.py b/python/pyspark/sql/tests/connect/test_parity_udtf.py
index 1222b1bb5b44f..5955b502e48b2 100644
--- a/python/pyspark/sql/tests/connect/test_parity_udtf.py
+++ b/python/pyspark/sql/tests/connect/test_parity_udtf.py
@@ -14,6 +14,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import os
+import unittest
 from pyspark.testing.connectutils import should_test_connect
 
 if should_test_connect:
@@ -57,6 +59,90 @@ def eval(self, a: int):
         ):
             TestUDTF(lit(1)).collect()
 
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_udtf_init_with_additional_args(self):
+        super(UDTFParityTests, self).test_udtf_init_with_additional_args()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_udtf_with_wrong_num_input(self):
+        super(UDTFParityTests, self).test_udtf_with_wrong_num_input()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_array_output_type_casting(self):
+        super(UDTFParityTests, self).test_array_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_map_output_type_casting(self):
+        super(UDTFParityTests, self).test_map_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_numeric_output_type_casting(self):
+        super(UDTFParityTests, self).test_numeric_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_numeric_output_type_casting(self):
+        super(UDTFParityTests, self).test_numeric_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_numeric_string_output_type_casting(self):
+        super(UDTFParityTests, self).test_numeric_string_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_string_output_type_casting(self):
+        super(UDTFParityTests, self).test_string_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_string_output_type_casting(self):
+        super(UDTFParityTests, self).test_string_output_type_casting()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_struct_output_type_casting_dict(self):
+        super(UDTFParityTests, self).test_struct_output_type_casting_dict()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_udtf_init_with_additional_args(self):
+        super(UDTFParityTests, self).test_udtf_init_with_additional_args()
+
+    # TODO(SPARK-48087): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_udtf_with_wrong_num_input(self):
+        super(UDTFParityTests, self).test_udtf_with_wrong_num_input()
+
 
 class ArrowUDTFParityTests(UDTFArrowTestsMixin, UDTFParityTests):
     @classmethod
diff --git a/python/pyspark/sql/tests/connect/test_utils.py b/python/pyspark/sql/tests/connect/test_utils.py
index 917cb58057f7f..19fa9cd93f321 100644
--- a/python/pyspark/sql/tests/connect/test_utils.py
+++ b/python/pyspark/sql/tests/connect/test_utils.py
@@ -14,13 +14,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import os
+import unittest
 
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.sql.tests.test_utils import UtilsTestsMixin
 
 
 class ConnectUtilsTests(ReusedConnectTestCase, UtilsTestsMixin):
-    pass
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
+    def test_assert_approx_equal_decimaltype_custom_rtol_pass(self):
+        super(ConnectUtilsTests, self).test_assert_approx_equal_decimaltype_custom_rtol_pass()
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_map.py b/python/pyspark/sql/tests/pandas/test_pandas_map.py
index fb2f9214c5d8f..c3ba7b3e93a00 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_map.py
@@ -110,7 +110,7 @@ def func(iterator):
             df = (
                 self.spark.range(10, numPartitions=3)
                 .select(col("id").cast("string").alias("str"))
-                .withColumn("bin", encode(col("str"), "utf8"))
+                .withColumn("bin", encode(col("str"), "utf-8"))
             )
             actual = df.mapInPandas(func, "str string, bin binary").collect()
             expected = df.collect()
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_udf.py b/python/pyspark/sql/tests/pandas/test_pandas_udf.py
index 34cd9c2358195..4673375ccf694 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_udf.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_udf.py
@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
 import unittest
 import datetime
 from typing import cast
@@ -262,6 +262,10 @@ def foo(x):
             .collect,
         )
 
+    # TODO(SPARK-48086): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_pandas_udf_detect_unsafe_type_conversion(self):
         import pandas as pd
         import numpy as np
@@ -285,6 +289,10 @@ def udf(column):
         with self.sql_conf({"spark.sql.execution.pandas.convertToArrowArraySafely": False}):
             df.select(["A"]).withColumn("udf", udf("A")).collect()
 
+    # TODO(SPARK-48086): Reenable this test case
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_pandas_udf_arrow_overflow(self):
         import pandas as pd
 
diff --git a/python/pyspark/sql/tests/test_datasources.py b/python/pyspark/sql/tests/test_datasources.py
index 6418983b06a44..c920fa75f4b29 100644
--- a/python/pyspark/sql/tests/test_datasources.py
+++ b/python/pyspark/sql/tests/test_datasources.py
@@ -14,7 +14,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+import os
+import unittest
 import shutil
 import tempfile
 import uuid
@@ -146,6 +147,9 @@ def test_csv_sampling_ratio(self):
         schema = self.spark.read.option("inferSchema", True).csv(rdd, samplingRatio=0.5).schema
         self.assertEqual(schema, StructType([StructField("_c0", IntegerType(), True)]))
 
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_checking_csv_header(self):
         path = tempfile.mkdtemp()
         shutil.rmtree(path)
diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index 90ecfd657765d..00bd1d9a6f834 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -812,6 +812,9 @@ def test_struct_type(self):
         self.assertRaises(IndexError, lambda: struct1[9])
         self.assertRaises(TypeError, lambda: struct1[9.9])
 
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_parse_datatype_string(self):
         from pyspark.sql.types import _all_atomic_types, _parse_datatype_string
 
diff --git a/python/pyspark/testing/connectutils.py b/python/pyspark/testing/connectutils.py
index ba81c7836728e..a063f27c9ea22 100644
--- a/python/pyspark/testing/connectutils.py
+++ b/python/pyspark/testing/connectutils.py
@@ -178,7 +178,7 @@ def conf(cls):
 
     @classmethod
     def master(cls):
-        return "local[4]"
+        return os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[4]")
 
     @classmethod
     def setUpClass(cls):
diff --git a/python/run-tests.py b/python/run-tests.py
index b9031765d9437..ca8ddb5ff8635 100755
--- a/python/run-tests.py
+++ b/python/run-tests.py
@@ -60,15 +60,17 @@ def get_valid_filename(s):
 FAILURE_REPORTING_LOCK = Lock()
 LOGGER = logging.getLogger()
 
-# Find out where the assembly jars are located.
-# TODO: revisit for Scala 2.13
-for scala in ["2.12", "2.13"]:
-    build_dir = os.path.join(SPARK_HOME, "assembly", "target", "scala-" + scala)
-    if os.path.isdir(build_dir):
-        SPARK_DIST_CLASSPATH = os.path.join(build_dir, "jars", "*")
-        break
-else:
-    raise RuntimeError("Cannot find assembly build directory, please build Spark first.")
+SPARK_DIST_CLASSPATH = ""
+if "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ:
+    # Find out where the assembly jars are located.
+    # TODO: revisit for Scala 2.13
+    for scala in ["2.12", "2.13"]:
+        build_dir = os.path.join(SPARK_HOME, "assembly", "target", "scala-" + scala)
+        if os.path.isdir(build_dir):
+            SPARK_DIST_CLASSPATH = os.path.join(build_dir, "jars", "*")
+            break
+    else:
+        raise RuntimeError("Cannot find assembly build directory, please build Spark first.")
 
 
 def run_individual_python_test(target_dir, test_name, pyspark_python, keep_test_output):
@@ -98,6 +100,11 @@ def run_individual_python_test(target_dir, test_name, pyspark_python, keep_test_
         'PYARROW_IGNORE_TIMEZONE': '1',
     })
 
+    if "SPARK_CONNECT_TESTING_REMOTE" in os.environ:
+        env.update({"SPARK_CONNECT_TESTING_REMOTE": os.environ["SPARK_CONNECT_TESTING_REMOTE"]})
+    if "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ:
+        env.update({"SPARK_SKIP_JVM_REQUIRED_TESTS": os.environ["SPARK_SKIP_CONNECT_COMPAT_TESTS"]})
+
     # Create a unique temp directory under 'target/' for each run. The TMPDIR variable is
     # recognized by the tempfile module to override the default system temp directory.
     tmp_dir = os.path.join(target_dir, str(uuid.uuid4()))

From 2f2347f3b74f1478fb583de9378427b3e45bd980 Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Sat, 4 May 2024 11:49:20 -0700
Subject: [PATCH 681/986] [SPARK-48128][SQL] For BitwiseCount / bit_count
 expression, fix codegen syntax error for boolean type inputs

### What changes were proposed in this pull request?

This PR fixes an issue where `BitwiseCount` / `bit_count` of boolean inputs would cause codegen to generate syntactically invalid Java code that does not compile, triggering errors like

```
 java.util.concurrent.ExecutionException: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 41, Column 11: Failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 41, Column 11: Unexpected token "if" in primary
```

Even though this code has test cases in `bitwise.sql` via the query test framework, those existing test cases were insufficient to find this problem: I believe that is because the example queries were constant-folded using the interpreted path, leaving the codegen path without test coverage.

This PR fixes the codegen issue and adds explicit expression tests to ensure that the same tests run on both the codegen and interpreted paths.

### Why are the changes needed?

Fix a rare codegen to interpreted fallback issue, which may harm query performance.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added new test cases to BitwiseExpressionsSuite.scala, copied from the existing `bitwise.sql` query test case file.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46382 from JoshRosen/SPARK-48128-bit_count_codegen.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 96f65c950064d330245dc53fcd50cf6d9753afc8)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../expressions/bitwiseExpressions.scala      |  2 +-
 .../expressions/BitwiseExpressionsSuite.scala | 41 +++++++++++++++++++
 2 files changed, 42 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitwiseExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitwiseExpressions.scala
index 6061f625ef07b..183e5d6697e99 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitwiseExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitwiseExpressions.scala
@@ -229,7 +229,7 @@ case class BitwiseCount(child: Expression)
   override def prettyName: String = "bit_count"
 
   override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = child.dataType match {
-    case BooleanType => defineCodeGen(ctx, ev, c => s"if ($c) 1 else 0")
+    case BooleanType => defineCodeGen(ctx, ev, c => s"($c) ? 1 : 0")
     case _ => defineCodeGen(ctx, ev, c => s"java.lang.Long.bitCount($c)")
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitwiseExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitwiseExpressionsSuite.scala
index 4cd5f3e861ac8..5bd1bc346c02f 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitwiseExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitwiseExpressionsSuite.scala
@@ -133,6 +133,47 @@ class BitwiseExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     }
   }
 
+  test("BitCount") {
+    // null
+    val nullLongLiteral = Literal.create(null, LongType)
+    val nullIntLiteral = Literal.create(null, IntegerType)
+    val nullBooleanLiteral = Literal.create(null, BooleanType)
+    checkEvaluation(BitwiseCount(nullLongLiteral), null)
+    checkEvaluation(BitwiseCount(nullIntLiteral), null)
+    checkEvaluation(BitwiseCount(nullBooleanLiteral), null)
+
+    // boolean
+    checkEvaluation(BitwiseCount(Literal(true)), 1)
+    checkEvaluation(BitwiseCount(Literal(false)), 0)
+
+    // byte/tinyint
+    checkEvaluation(BitwiseCount(Literal(1.toByte)), 1)
+    checkEvaluation(BitwiseCount(Literal(2.toByte)), 1)
+    checkEvaluation(BitwiseCount(Literal(3.toByte)), 2)
+
+    // short/smallint
+    checkEvaluation(BitwiseCount(Literal(1.toShort)), 1)
+    checkEvaluation(BitwiseCount(Literal(2.toShort)), 1)
+    checkEvaluation(BitwiseCount(Literal(3.toShort)), 2)
+
+    // int
+    checkEvaluation(BitwiseCount(Literal(1)), 1)
+    checkEvaluation(BitwiseCount(Literal(2)), 1)
+    checkEvaluation(BitwiseCount(Literal(3)), 2)
+
+    // long/bigint
+    checkEvaluation(BitwiseCount(Literal(1L)), 1)
+    checkEvaluation(BitwiseCount(Literal(2L)), 1)
+    checkEvaluation(BitwiseCount(Literal(3L)), 2)
+
+    // negative num
+    checkEvaluation(BitwiseCount(Literal(-1L)), 64)
+
+    // edge value
+    checkEvaluation(BitwiseCount(Literal(9223372036854775807L)), 63)
+    checkEvaluation(BitwiseCount(Literal(-9223372036854775808L)), 1)
+  }
+
   test("BitGet") {
     val nullLongLiteral = Literal.create(null, LongType)
     val nullIntLiteral = Literal.create(null, IntegerType)

From 45befc07d2a064ab2a279a113489ed5c66f7a69d Mon Sep 17 00:00:00 2001
From: Gene Pang <gene.pang@databricks.com>
Date: Sun, 5 May 2024 21:50:15 +0800
Subject: [PATCH 682/986] [SPARK-48019][SQL][FOLLOWUP] Use primitive arrays
 over object arrays when nulls exist

### What changes were proposed in this pull request?

This is a followup to https://github.com/apache/spark/pull/46254 . Instead of using object arrays when nulls are present, continue to use primitive arrays when appropriate. This PR sets the null bits appropriately for the primitive array copy.

Primitive arrays are faster than object arrays and won't create unnecessary objects.

### Why are the changes needed?

This will improve performance and memory usage, when nulls are present in the `ColumnarArray`.

### Does this PR introduce _any_ user-facing change?

This is expected to be faster when copying `ColumnarArray`.

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46372 from gene-db/primitive-nulls.

Authored-by: Gene Pang <gene.pang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit bf2e25459fe46ca2b1d26e1c98c873923fc135e1)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/vectorized/ColumnarArray.java   | 36 ++++++++++++-------
 1 file changed, 24 insertions(+), 12 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
index c4de83cf8b82d..1f8e679a4146f 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
@@ -47,31 +47,43 @@ public int numElements() {
     return length;
   }
 
+  /**
+   * Sets all the appropriate null bits in the input UnsafeArrayData.
+   *
+   * @param arrayData The UnsafeArrayData to set the null bits for
+   * @return The UnsafeArrayData with the null bits set
+   */
+  private UnsafeArrayData setNullBits(UnsafeArrayData arrayData) {
+    if (data.hasNull()) {
+      for (int i = 0; i < length; i++) {
+        if (data.isNullAt(i)) {
+          arrayData.setNullAt(i);
+        }
+      }
+    }
+    return arrayData;
+  }
+
   @Override
   public ArrayData copy() {
     DataType dt = data.dataType();
 
-    if (data.hasNull()) {
-      // UnsafeArrayData cannot be used if there are any nulls.
-      return new GenericArrayData(toObjectArray(dt)).copy();
-    }
-
     if (dt instanceof BooleanType) {
-      return UnsafeArrayData.fromPrimitiveArray(toBooleanArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toBooleanArray()));
     } else if (dt instanceof ByteType) {
-      return UnsafeArrayData.fromPrimitiveArray(toByteArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toByteArray()));
     } else if (dt instanceof ShortType) {
-      return UnsafeArrayData.fromPrimitiveArray(toShortArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toShortArray()));
     } else if (dt instanceof IntegerType || dt instanceof DateType
             || dt instanceof YearMonthIntervalType) {
-      return UnsafeArrayData.fromPrimitiveArray(toIntArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toIntArray()));
     } else if (dt instanceof LongType || dt instanceof TimestampType
             || dt instanceof DayTimeIntervalType) {
-      return UnsafeArrayData.fromPrimitiveArray(toLongArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toLongArray()));
     } else if (dt instanceof FloatType) {
-      return UnsafeArrayData.fromPrimitiveArray(toFloatArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toFloatArray()));
     } else if (dt instanceof DoubleType) {
-      return UnsafeArrayData.fromPrimitiveArray(toDoubleArray());
+      return setNullBits(UnsafeArrayData.fromPrimitiveArray(toDoubleArray()));
     } else {
       return new GenericArrayData(toObjectArray(dt)).copy(); // ensure the elements are copied.
     }

From e699a1eee085eb6025f33284c6369553713794d1 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 6 May 2024 19:06:29 -0700
Subject: [PATCH 683/986] [SPARK-48088][PYTHON][CONNECT][TESTS][FOLLOW-UP][3.5]
 Skips another that that requires JVM access

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/46334 that missed one more test case.

### Why are the changes needed?

See https://github.com/apache/spark/pull/46334

### Does this PR introduce _any_ user-facing change?

See https://github.com/apache/spark/pull/46334

### How was this patch tested?

Manually

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46411 from HyukjinKwon/SPARK-48088-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/ml/tests/connect/test_connect_pipeline.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/python/pyspark/ml/tests/connect/test_connect_pipeline.py b/python/pyspark/ml/tests/connect/test_connect_pipeline.py
index dc7490bf14b12..eb2bedddbe283 100644
--- a/python/pyspark/ml/tests/connect/test_connect_pipeline.py
+++ b/python/pyspark/ml/tests/connect/test_connect_pipeline.py
@@ -22,6 +22,7 @@
 from pyspark.ml.tests.connect.test_legacy_mode_pipeline import PipelineTestsMixin
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Requires JVM access")
 class PipelineTestsOnConnect(PipelineTestsMixin, unittest.TestCase):
     def setUp(self) -> None:
         self.spark = (

From 997100119e6c893c46b12cc32a4f96721c8f3a22 Mon Sep 17 00:00:00 2001
From: Weichen Xu <weichen.xu@databricks.com>
Date: Tue, 7 May 2024 15:58:01 +0900
Subject: [PATCH 684/986] [SPARK-48083][SPARK-48084][ML][TESTS] Remove JIRA
 comments for reenabling ML compatibility tests

### What changes were proposed in this pull request?

Enable spark ml test

### Why are the changes needed?

For test_connect_classification.py,
session.copyFromLocalToFs failure with 3.5 client <> 4.0 server

this is not an issue,
copyFromLocalToFs requires spark server to config spark.connect.copyFromLocalToFs.allowDestLocal to False, because the test can only use local fs.

For test_connect_evaluation.py,
This test error pyspark.ml.connect.evaluation not working in 3.5 client <> 4.0 server is caused by cloudpickle forward incompatibility, it is not related to ML code

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

CI.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46419 from WeichenXu123/reenable-test-3.5.

Authored-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/ml/tests/connect/test_connect_classification.py | 1 -
 python/pyspark/ml/tests/connect/test_connect_evaluation.py     | 1 -
 2 files changed, 2 deletions(-)

diff --git a/python/pyspark/ml/tests/connect/test_connect_classification.py b/python/pyspark/ml/tests/connect/test_connect_classification.py
index 2763d3f613ae8..f0d60a117e12f 100644
--- a/python/pyspark/ml/tests/connect/test_connect_classification.py
+++ b/python/pyspark/ml/tests/connect/test_connect_classification.py
@@ -21,7 +21,6 @@
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_classification import ClassificationTestsMixin
 
-# TODO(SPARK-48083): Reenable this test case
 have_torch = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torch  # noqa: F401
diff --git a/python/pyspark/ml/tests/connect/test_connect_evaluation.py b/python/pyspark/ml/tests/connect/test_connect_evaluation.py
index 35af54605ca81..58076dfe0bbe6 100644
--- a/python/pyspark/ml/tests/connect/test_connect_evaluation.py
+++ b/python/pyspark/ml/tests/connect/test_connect_evaluation.py
@@ -20,7 +20,6 @@
 from pyspark.sql import SparkSession
 from pyspark.ml.tests.connect.test_legacy_mode_evaluation import EvaluationTestsMixin
 
-# TODO(SPARK-48084): Reenable this test case
 have_torcheval = "SPARK_SKIP_CONNECT_COMPAT_TESTS" not in os.environ
 try:
     import torcheval  # noqa: F401

From f92580aa111f8531cdb229a2d1bb0234764d7262 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 7 May 2024 15:59:20 +0900
Subject: [PATCH 685/986] [SPARK-48090][SS][PYTHON][TESTS] Shorten the
 traceback in the test checking error message in UDF

This PR reduces traceback so the actual error `ZeroDivisionError` can be tested in `pyspark.sql.tests.connect.streaming.test_parity_streaming.StreamingParityTests.test_stream_exception`

So long traceback doesn't affect the test case. It can fail as below:

```
======================================================================
FAIL [1.883s]: test_stream_exception (pyspark.sql.tests.connect.streaming.test_parity_streaming.StreamingParityTests.test_stream_exception)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 287, in test_stream_exception
    sq.processAllAvailable()
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/streaming/query.py", line 129, in processAllAvailable
    self._execute_streaming_query_cmd(cmd)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/streaming/query.py", line 177, in _execute_streaming_query_cmd
    (_, properties) = self._session.client.execute_command(exec_cmd)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 982, in execute_command
    data, _, _, _, properties = self._execute_and_fetch(req)
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1283, in _execute_and_fetch
    for response in self._execute_and_fetch_as_iterator(req):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1264, in _execute_and_fetch_as_iterator
    self._handle_error(error)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line [150](https://github.com/HyukjinKwon/spark/actions/runs/8978991632/job/24660689666#step:9:151)3, in _handle_error
    self._handle_rpc_error(error)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1539, in _handle_rpc_error
    raise convert_exception(info, status.message) from None
pyspark.errors.exceptions.connect.StreamingQueryException: [STREAM_FAILED] Query [id = 1c0c440d-0b48-41b1-9a03-071e7e13de82, runId = 692ec338-963a-43b1-89cb-2a8b7cb1e21a] terminated with exception: Job aborted due to stage failure: Task 0 in stage 39.0 failed 1 times, most recent failure: Lost task 0.0 in stage 39.0 (TID 58) (fv-az714-234.22nzjvkrszmuhkvqy55p1tioig.phxx.internal.cloudapp.net executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1834, in main
    process()
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1826, in process
    serializer.dump_stream(out_iter, outfile)
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 224, in dump_stream
    self.serializer.dump_stream(self._batched(iterator), stream)
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 145, in dump_stream
    for obj in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 213, in _batched
    for item in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1734, in mapper
    result = tuple(f(*[a[o] for o in arg_offsets]) for arg_offsets, f in udfs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1734, in <genexpr>
    result = tuple(f(*[a[o] for o in arg_offsets]) for arg_offsets, f in udfs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 112, in <lambda>
    return args_kwargs_offsets, lambda *a: func(*a)
                                           ^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/util.py", line 134, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3....

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 291, in test_stream_exception
    self._assert_exception_tree_contains_msg(e, "ZeroDivisionError")
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 300, in _assert_exception_tree_contains_msg
    self._assert_exception_tree_contains_msg_connect(exception, msg)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 305, in _assert_exception_tree_contains_msg_connect
    self.assertTrue(
AssertionError: False is not true : Exception tree doesn't contain the expected message: ZeroDivisionError

----------------------------------------------------------------------
```

No, test-only.

Tested in my own fork: https://github.com/HyukjinKwon/spark/actions/runs/8978991632

No.

Closes #46426 from HyukjinKwon/SPARK-48090.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit eee179135ed21dbdd8b342d053c9eda849e2de77)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../streaming/test_parity_streaming.py        | 10 +--
 .../sql/tests/streaming/test_streaming.py     | 61 ++++++++++---------
 2 files changed, 32 insertions(+), 39 deletions(-)

diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
index e7c1958064bb2..6b23c15775fe6 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_streaming.py
@@ -14,20 +14,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-import os
-import unittest
-
 from pyspark.sql.tests.streaming.test_streaming import StreamingTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
 class StreamingParityTests(StreamingTestsMixin, ReusedConnectTestCase):
-    # TODO(SPARK-48090): Reenable this test case
-    @unittest.skipIf(
-        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
-    )
-    def test_stream_exception(self):
-        super(StreamingParityTests, self).test_stream_exception()
+    pass
 
 
 if __name__ == "__main__":
diff --git a/python/pyspark/sql/tests/streaming/test_streaming.py b/python/pyspark/sql/tests/streaming/test_streaming.py
index 0eea86dc73756..69a5a2b90986e 100644
--- a/python/pyspark/sql/tests/streaming/test_streaming.py
+++ b/python/pyspark/sql/tests/streaming/test_streaming.py
@@ -264,36 +264,37 @@ def test_stream_await_termination(self):
             shutil.rmtree(tmpPath)
 
     def test_stream_exception(self):
-        sdf = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
-        sq = sdf.writeStream.format("memory").queryName("query_explain").start()
-        try:
-            sq.processAllAvailable()
-            self.assertEqual(sq.exception(), None)
-        finally:
-            sq.stop()
-
-        from pyspark.sql.functions import col, udf
-        from pyspark.errors import StreamingQueryException
-
-        bad_udf = udf(lambda x: 1 / 0)
-        sq = (
-            sdf.select(bad_udf(col("value")))
-            .writeStream.format("memory")
-            .queryName("this_query")
-            .start()
-        )
-        try:
-            # Process some data to fail the query
-            sq.processAllAvailable()
-            self.fail("bad udf should fail the query")
-        except StreamingQueryException as e:
-            # This is expected
-            self._assert_exception_tree_contains_msg(e, "ZeroDivisionError")
-        finally:
-            exception = sq.exception()
-            sq.stop()
-        self.assertIsInstance(exception, StreamingQueryException)
-        self._assert_exception_tree_contains_msg(exception, "ZeroDivisionError")
+        with self.sql_conf({"spark.sql.execution.pyspark.udf.simplifiedTraceback.enabled": True}):
+            sdf = self.spark.readStream.format("text").load("python/test_support/sql/streaming")
+            sq = sdf.writeStream.format("memory").queryName("query_explain").start()
+            try:
+                sq.processAllAvailable()
+                self.assertEqual(sq.exception(), None)
+            finally:
+                sq.stop()
+
+            from pyspark.sql.functions import col, udf
+            from pyspark.errors import StreamingQueryException
+
+            bad_udf = udf(lambda x: 1 / 0)
+            sq = (
+                sdf.select(bad_udf(col("value")))
+                .writeStream.format("memory")
+                .queryName("this_query")
+                .start()
+            )
+            try:
+                # Process some data to fail the query
+                sq.processAllAvailable()
+                self.fail("bad udf should fail the query")
+            except StreamingQueryException as e:
+                # This is expected
+                self._assert_exception_tree_contains_msg(e, "ZeroDivisionError")
+            finally:
+                exception = sq.exception()
+                sq.stop()
+            self.assertIsInstance(exception, StreamingQueryException)
+            self._assert_exception_tree_contains_msg(exception, "ZeroDivisionError")
 
     def _assert_exception_tree_contains_msg(self, exception, msg):
         if isinstance(exception, SparkConnectException):

From ec7e888d70822796146ffb2769ccae759baf24f4 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 7 May 2024 16:16:02 +0900
Subject: [PATCH 686/986] [SPARK-48167][CONNECT][TESTS] Skip known behaviour
 change by SPARK-46122

### What changes were proposed in this pull request?

This PR proposes to skip `test_create_without_provider` in backward compatibility test in https://github.com/apache/spark/actions/workflows/build_python_connect35.yml

### Why are the changes needed?

This is a intentional behaviour change (SPARK-46122)

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Tested in my fork

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46430 from HyukjinKwon/SPARK-48167.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_readwriter.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/python/pyspark/sql/tests/test_readwriter.py b/python/pyspark/sql/tests/test_readwriter.py
index 921d2eba5ac7f..e903d3383b747 100644
--- a/python/pyspark/sql/tests/test_readwriter.py
+++ b/python/pyspark/sql/tests/test_readwriter.py
@@ -16,6 +16,7 @@
 #
 
 import os
+import unittest
 import shutil
 import tempfile
 
@@ -245,6 +246,8 @@ def test_create(self):
             df.writeTo("test_table").using("parquet").create()
             self.assertEqual(100, self.spark.sql("select * from test_table").count())
 
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Known behavior change in 4.0")
     def test_create_without_provider(self):
         df = self.df
         with self.assertRaisesRegex(

From 1735d7d3fd660560e15457793ccd9b758bb360f8 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 7 May 2024 18:50:47 +0900
Subject: [PATCH 687/986] [SPARK-48086][PYTHON][TESTS][3.5] Remove obsolete
 comment

### What changes were proposed in this pull request?

This PR proposes to remove those comments for skipped tests related to different Arrow version in JVM.

### Why are the changes needed?

Arrow version incompatibility is something we cannot avoid. We should just skip those tests for now.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Linters.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46431 from HyukjinKwon/SPARK-48086.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py  | 1 -
 python/pyspark/sql/tests/pandas/test_pandas_udf.py              | 2 --
 2 files changed, 3 deletions(-)

diff --git a/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py b/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
index 960f7f11e873f..a508fe1059ed8 100644
--- a/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
+++ b/python/pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py
@@ -32,7 +32,6 @@ def test_vectorized_udf_empty_partition(self):
     def test_vectorized_udf_struct_with_empty_partition(self):
         super().test_vectorized_udf_struct_with_empty_partition()
 
-    # TODO(SPARK-48086): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_udf.py b/python/pyspark/sql/tests/pandas/test_pandas_udf.py
index 4673375ccf694..b54e5608f3d09 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_udf.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_udf.py
@@ -262,7 +262,6 @@ def foo(x):
             .collect,
         )
 
-    # TODO(SPARK-48086): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
@@ -289,7 +288,6 @@ def udf(column):
         with self.sql_conf({"spark.sql.execution.pandas.convertToArrowArraySafely": False}):
             df.select(["A"]).withColumn("udf", udf("A")).collect()
 
-    # TODO(SPARK-48086): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )

From 03bc2b188d2111b5c4cc5bc13ebd0455602028a8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 7 May 2024 13:38:08 -0700
Subject: [PATCH 688/986] [SPARK-48167][PYTHON][TESTS][FOLLOWUP][3.5] Reformat
 test_readwriter.py to fix Python Linter error

### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/46430 to fix Python linter failure.

### Why are the changes needed?

To recover `branch-3.5` CI,
- https://github.com/apache/spark/actions/runs/8981228745/job/24666400664

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass Python Linter in this PR builder.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46445 from dongjoon-hyun/SPARK-48167.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/tests/test_readwriter.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/test_readwriter.py b/python/pyspark/sql/tests/test_readwriter.py
index e903d3383b747..7911a82c61fcc 100644
--- a/python/pyspark/sql/tests/test_readwriter.py
+++ b/python/pyspark/sql/tests/test_readwriter.py
@@ -247,7 +247,8 @@ def test_create(self):
             self.assertEqual(100, self.spark.sql("select * from test_table").count())
 
     @unittest.skipIf(
-        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Known behavior change in 4.0")
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Known behavior change in 4.0"
+    )
     def test_create_without_provider(self):
         df = self.df
         with self.assertRaisesRegex(

From a24ec1d8f76c7bf47e491086f14ea202b6806cd8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 7 May 2024 15:23:24 -0700
Subject: [PATCH 689/986] [SPARK-48179][INFRA][3.5] Pin `nbsphinx` to `0.9.3`

### What changes were proposed in this pull request?

This PR aims to pin `nbsphinx` to `0.9.3` to recover `branch-3.5` CI.

### Why are the changes needed?

From yesterday, `branch-3.5` commit build is broken.
- https://github.com/apache/spark/actions/runs/8978558438/job/24659197282
```
Exception occurred:
  File "/usr/local/lib/python3.9/dist-packages/nbsphinx/__init__.py", line 1316, in apply
    for section in self.document.findall(docutils.nodes.section):
AttributeError: 'document' object has no attribute 'findall'
The full traceback has been saved in /tmp/sphinx-err-qz4y0bav.log, if you want to report the issue to the developers.
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs on this PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46448 from dongjoon-hyun/nbsphinx.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 8488540b415d5..fa40b2d0a390a 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -682,7 +682,7 @@ jobs:
         #   See also https://issues.apache.org/jira/browse/SPARK-35375.
         # Pin the MarkupSafe to 2.0.1 to resolve the CI error.
         #   See also https://issues.apache.org/jira/browse/SPARK-38279.
-        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' nbsphinx numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0' 'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' 'nest-asyncio==1.5.8' 'rpds-py==0.16.2' 'alabaster==0.7.13'
+        python3.9 -m pip install 'sphinx<3.1.0' mkdocs pydata_sphinx_theme 'sphinx-copybutton==0.5.2' 'nbsphinx==0.9.3' numpydoc 'jinja2<3.0.0' 'markupsafe==2.0.1' 'pyzmq<24.0.0' 'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' 'nest-asyncio==1.5.8' 'rpds-py==0.16.2' 'alabaster==0.7.13'
         python3.9 -m pip install ipython_genutils # See SPARK-38517
         python3.9 -m pip install sphinx_plotly_directive 'numpy>=1.20.0' 'pyarrow==12.0.1' pandas 'plotly>=4.8'
         python3.9 -m pip install 'docutils<0.18.0' # See SPARK-39421

From 2f8e7cbe98df97ee0ae51a20796192c95e750721 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <cloud0fan@gmail.com>
Date: Tue, 7 May 2024 15:25:15 -0700
Subject: [PATCH 690/986] [SPARK-48173][SQL][3.5] CheckAnalysis should see the
 entire query plan

backport https://github.com/apache/spark/pull/46439 to 3.5

### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/38029 . Some custom check rules need to see the entire query plan tree to get some context, but https://github.com/apache/spark/pull/38029 breaks it as it checks the query plan of dangling CTE relations recursively.

This PR fixes it by putting back the dangling CTE relation in the main query plan and then check the main query plan.

### Why are the changes needed?

Revert the breaking change to custom check rules

### Does this PR introduce _any_ user-facing change?

No for most users. This restores the behavior of Spark 3.3 and earlier for custom check rules.

### How was this patch tested?

existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46442 from cloud-fan/check2.

Lead-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Co-authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/analysis/CheckAnalysis.scala | 38 ++++++++++++++++---
 1 file changed, 33 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 7f10bdbc80ca9..485015f2efab4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -141,17 +141,45 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
       errorClass, missingCol, orderedCandidates, a.origin)
   }
 
+  private def checkUnreferencedCTERelations(
+      cteMap: mutable.Map[Long, (CTERelationDef, Int, mutable.Map[Long, Int])],
+      visited: mutable.Map[Long, Boolean],
+      danglingCTERelations: mutable.ArrayBuffer[CTERelationDef],
+      cteId: Long): Unit = {
+    if (visited(cteId)) {
+      return
+    }
+    val (cteDef, _, refMap) = cteMap(cteId)
+    refMap.foreach { case (id, _) =>
+      checkUnreferencedCTERelations(cteMap, visited, danglingCTERelations, id)
+    }
+    danglingCTERelations.append(cteDef)
+    visited(cteId) = true
+  }
+
   def checkAnalysis(plan: LogicalPlan): Unit = {
     val inlineCTE = InlineCTE(alwaysInline = true)
     val cteMap = mutable.HashMap.empty[Long, (CTERelationDef, Int, mutable.Map[Long, Int])]
     inlineCTE.buildCTEMap(plan, cteMap)
-    cteMap.values.foreach { case (relation, refCount, _) =>
-      // If a CTE relation is never used, it will disappear after inline. Here we explicitly check
-      // analysis for it, to make sure the entire query plan is valid.
-      if (refCount == 0) checkAnalysis0(relation.child)
+    val danglingCTERelations = mutable.ArrayBuffer.empty[CTERelationDef]
+    val visited: mutable.Map[Long, Boolean] = mutable.Map.empty.withDefaultValue(false)
+    // If a CTE relation is never used, it will disappear after inline. Here we explicitly collect
+    // these dangling CTE relations, and put them back in the main query, to make sure the entire
+    // query plan is valid.
+    cteMap.foreach { case (cteId, (_, refCount, _)) =>
+      // If a CTE relation ref count is 0, the other CTE relations that reference it should also be
+      // collected. This code will also guarantee the leaf relations that do not reference
+      // any others are collected first.
+      if (refCount == 0) {
+        checkUnreferencedCTERelations(cteMap, visited, danglingCTERelations, cteId)
+      }
     }
     // Inline all CTEs in the plan to help check query plan structures in subqueries.
-    checkAnalysis0(inlineCTE(plan))
+    var inlinedPlan: LogicalPlan = inlineCTE(plan)
+    if (danglingCTERelations.nonEmpty) {
+      inlinedPlan = WithCTE(inlinedPlan, danglingCTERelations.toSeq)
+    }
+    checkAnalysis0(inlinedPlan)
     plan.setAnalyzed()
   }
 

From 15b5d2a558371395547461d7b37f20610432dea0 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Tue, 7 May 2024 15:54:50 -0700
Subject: [PATCH 691/986] [SPARK-48178][INFRA][3.5] Run
 `build/scala-213/java-11-17` jobs of `branch-3.5` only if needed

### What changes were proposed in this pull request?

This PR aims to run `build`, `scala-213`, and `java-11-17` job of `branch-3.5` only if needed to reduce the maximum concurrency of Apache Spark GitHub Action usage.

### Why are the changes needed?

To meet ASF Infra GitHub Action policy, we need to reduce the maximum concurrency.
- https://infra.apache.org/github-actions-policy.html

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46449 from dongjoon-hyun/SPARK-48178.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index fa40b2d0a390a..9c3dc95d0f66c 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -85,17 +85,16 @@ jobs:
           sparkr=`./dev/is-changed.py -m sparkr`
           tpcds=`./dev/is-changed.py -m sql`
           docker=`./dev/is-changed.py -m docker-integration-tests`
-          # 'build', 'scala-213', and 'java-11-17' are always true for now.
-          # It does not save significant time and most of PRs trigger the build.
+          build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`
           precondition="
             {
-              \"build\": \"true\",
+              \"build\": \"$build\",
               \"pyspark\": \"$pyspark\",
               \"sparkr\": \"$sparkr\",
               \"tpcds-1g\": \"$tpcds\",
               \"docker-integration-tests\": \"$docker\",
-              \"scala-213\": \"true\",
-              \"java-11-17\": \"true\",
+              \"scala-213\": \"$build\",
+              \"java-11-17\": \"$build\",
               \"lint\" : \"true\",
               \"k8s-integration-tests\" : \"true\",
               \"breaking-changes-buf\" : \"true\",

From 704f956dcbeddc9067e4ec502c4fd07175171cac Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 7 May 2024 20:07:25 -0700
Subject: [PATCH 692/986] [MINOR][PYTHON][TESTS] Remove the doc in error
 message tests to allow other PyArrow versions in tests

This PR is a minor change to support more PyArrow versions in the test.

To support more PyArrow versions in the test. it can fail: (https://github.com/HyukjinKwon/spark/actions/runs/8994639538/job/24708397027)

```
Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py", line 585, in _test_merge_error
    self.__test_merge_error(
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py", line 606, in __test_merge_error
    with self.assertRaisesRegex(error_class, error_message_regex):
AssertionError: "Return type of the user-defined function should be pandas.DataFrame, but is int64." does not match "
  An exception was thrown from the Python worker. Please see the stack trace below.
Traceback (most recent call last):
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1834, in main
    process()
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1826, in process
    serializer.dump_stream(out_iter, outfile)
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py", line 531, in dump_stream
    return ArrowStreamSerializer.dump_stream(self, init_stream_yield_batches(), stream)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py", line 104, in dump_stream
    for batch in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py", line 524, in init_stream_yield_batches
    for series in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1694, in mapper
    return f(df1_keys, df1_vals, df2_keys, df2_vals)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 370, in <lambda>
    return lambda kl, vl, kr, vr: [(wrapped(kl, vl, kr, vr), to_arrow_type(return_type))]
                                    ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 364, in wrapped
    verify_pandas_result(
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 234, in verify_pandas_result
    raise PySparkTypeError(
pyspark.errors.exceptions.base.PySparkTypeError: [UDF_RETURN_TYPE] Return type of the user-defined function should be pandas.DataFrame, but is int.
```

No, test-only.

Ci should validate it.

No.

Closes #46453 from HyukjinKwon/minor-test.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py | 2 +-
 python/pyspark/sql/tests/pandas/test_pandas_map.py           | 4 ++--
 python/pyspark/sql/tests/test_arrow_map.py                   | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
index c3cd0f37b1038..948ef4a53f2cf 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
@@ -166,7 +166,7 @@ def check_apply_in_pandas_not_returning_pandas_dataframe(self):
             fn=lambda lft, rgt: lft.size + rgt.size,
             error_class=PythonException,
             error_message_regex="Return type of the user-defined function "
-            "should be pandas.DataFrame, but is int64.",
+            "should be pandas.DataFrame, but is int",
         )
 
     def test_apply_in_pandas_returning_column_names(self):
diff --git a/python/pyspark/sql/tests/pandas/test_pandas_map.py b/python/pyspark/sql/tests/pandas/test_pandas_map.py
index c3ba7b3e93a00..4b2be2bcf8442 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_map.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_map.py
@@ -151,14 +151,14 @@ def bad_iter_elem(_):
         with self.assertRaisesRegex(
             PythonException,
             "Return type of the user-defined function should be iterator of pandas.DataFrame, "
-            "but is int.",
+            "but is int",
         ):
             (self.spark.range(10, numPartitions=3).mapInPandas(no_iter, "a int").count())
 
         with self.assertRaisesRegex(
             PythonException,
             "Return type of the user-defined function should be iterator of pandas.DataFrame, "
-            "but is iterator of int.",
+            "but is iterator of int",
         ):
             (self.spark.range(10, numPartitions=3).mapInPandas(bad_iter_elem, "a int").count())
 
diff --git a/python/pyspark/sql/tests/test_arrow_map.py b/python/pyspark/sql/tests/test_arrow_map.py
index 15367743585e3..176286a809d45 100644
--- a/python/pyspark/sql/tests/test_arrow_map.py
+++ b/python/pyspark/sql/tests/test_arrow_map.py
@@ -104,14 +104,14 @@ def bad_iter_elem(_):
         with self.assertRaisesRegex(
             PythonException,
             "Return type of the user-defined function should be iterator "
-            "of pyarrow.RecordBatch, but is int.",
+            "of pyarrow.RecordBatch, but is int",
         ):
             (self.spark.range(10, numPartitions=3).mapInArrow(not_iter, "a int").count())
 
         with self.assertRaisesRegex(
             PythonException,
             "Return type of the user-defined function should be iterator "
-            "of pyarrow.RecordBatch, but is iterator of int.",
+            "of pyarrow.RecordBatch, but is iterator of int",
         ):
             (self.spark.range(10, numPartitions=3).mapInArrow(bad_iter_elem, "a int").count())
 

From 58b71307795b6060be97431e0c5c8ab95205ea79 Mon Sep 17 00:00:00 2001
From: sychen <sychen@ctrip.com>
Date: Tue, 7 May 2024 22:39:02 -0700
Subject: [PATCH 693/986] [SPARK-48037][CORE][3.5] Fix SortShuffleWriter lacks
 shuffle write related metrics resulting in potentially inaccurate data

### What changes were proposed in this pull request?
This PR aims to fix SortShuffleWriter lacks shuffle write related metrics resulting in potentially inaccurate data.

### Why are the changes needed?
When the shuffle writer is SortShuffleWriter, it does not use SQLShuffleWriteMetricsReporter to update metrics, which causes AQE to obtain runtime statistics and the rowCount obtained is 0.

Some optimization rules rely on rowCount statistics, such as `EliminateLimits`. Because rowCount is 0, it removes the limit operator. At this time, we get data results without limit.

https://github.com/apache/spark/blob/59d5946cfd377e9203ccf572deb34f87fab7510c/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala#L168-L172

https://github.com/apache/spark/blob/59d5946cfd377e9203ccf572deb34f87fab7510c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L2067-L2070

### Does this PR introduce _any_ user-facing change?
Yes

### How was this patch tested?
Production environment verification.

**master metrics**
<img width="296" alt="image" src="https://github.com/apache/spark/assets/3898450/dc9b6e8a-93ec-4f59-a903-71aa5b11962c">

**PR metrics**

<img width="276" alt="image" src="https://github.com/apache/spark/assets/3898450/2d73b773-2dcc-4d23-81de-25dcadac86c1">

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46459 from cxzl25/SPARK-48037-3.5.

Authored-by: sychen <sychen@ctrip.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../shuffle/sort/SortShuffleManager.scala     |  2 +-
 .../shuffle/sort/SortShuffleWriter.scala      |  6 ++--
 .../util/collection/ExternalSorter.scala      |  9 +++---
 .../shuffle/sort/SortShuffleWriterSuite.scala |  3 ++
 .../execution/UnsafeRowSerializerSuite.scala  |  3 +-
 .../adaptive/AdaptiveQueryExecSuite.scala     | 32 +++++++++++++++++--
 6 files changed, 43 insertions(+), 12 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
index 46aca07ce43f6..79dff6f87534a 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
@@ -176,7 +176,7 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
           metrics,
           shuffleExecutorComponents)
       case other: BaseShuffleHandle[K @unchecked, V @unchecked, _] =>
-        new SortShuffleWriter(other, mapId, context, shuffleExecutorComponents)
+        new SortShuffleWriter(other, mapId, context, metrics, shuffleExecutorComponents)
     }
   }
 
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
index 8613fe11a4c2f..3be7d24f7e4ec 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
@@ -21,6 +21,7 @@ import org.apache.spark._
 import org.apache.spark.internal.{config, Logging}
 import org.apache.spark.scheduler.MapStatus
 import org.apache.spark.shuffle.{BaseShuffleHandle, ShuffleWriter}
+import org.apache.spark.shuffle.ShuffleWriteMetricsReporter
 import org.apache.spark.shuffle.api.ShuffleExecutorComponents
 import org.apache.spark.util.collection.ExternalSorter
 
@@ -28,6 +29,7 @@ private[spark] class SortShuffleWriter[K, V, C](
     handle: BaseShuffleHandle[K, V, C],
     mapId: Long,
     context: TaskContext,
+    writeMetrics: ShuffleWriteMetricsReporter,
     shuffleExecutorComponents: ShuffleExecutorComponents)
   extends ShuffleWriter[K, V] with Logging {
 
@@ -46,8 +48,6 @@ private[spark] class SortShuffleWriter[K, V, C](
 
   private var partitionLengths: Array[Long] = _
 
-  private val writeMetrics = context.taskMetrics().shuffleWriteMetrics
-
   /** Write a bunch of records to this task's output */
   override def write(records: Iterator[Product2[K, V]]): Unit = {
     sorter = if (dep.mapSideCombine) {
@@ -67,7 +67,7 @@ private[spark] class SortShuffleWriter[K, V, C](
     // (see SPARK-3570).
     val mapOutputWriter = shuffleExecutorComponents.createMapOutputWriter(
       dep.shuffleId, mapId, dep.partitioner.numPartitions)
-    sorter.writePartitionedMapOutput(dep.shuffleId, mapId, mapOutputWriter)
+    sorter.writePartitionedMapOutput(dep.shuffleId, mapId, mapOutputWriter, writeMetrics)
     partitionLengths = mapOutputWriter.commitAllPartitions(sorter.getChecksums).getPartitionLengths
     mapStatus = MapStatus(blockManager.shuffleServerId, partitionLengths, mapId)
   }
diff --git a/core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala b/core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala
index 7153bb72476a7..2f2734a389ff0 100644
--- a/core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala
+++ b/core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala
@@ -29,7 +29,7 @@ import org.apache.spark._
 import org.apache.spark.executor.ShuffleWriteMetrics
 import org.apache.spark.internal.{config, Logging}
 import org.apache.spark.serializer._
-import org.apache.spark.shuffle.ShufflePartitionPairsWriter
+import org.apache.spark.shuffle.{ShufflePartitionPairsWriter, ShuffleWriteMetricsReporter}
 import org.apache.spark.shuffle.api.{ShuffleMapOutputWriter, ShufflePartitionWriter}
 import org.apache.spark.shuffle.checksum.ShuffleChecksumSupport
 import org.apache.spark.storage.{BlockId, DiskBlockObjectWriter, ShuffleBlockId}
@@ -696,7 +696,8 @@ private[spark] class ExternalSorter[K, V, C](
   def writePartitionedMapOutput(
       shuffleId: Int,
       mapId: Long,
-      mapOutputWriter: ShuffleMapOutputWriter): Unit = {
+      mapOutputWriter: ShuffleMapOutputWriter,
+      writeMetrics: ShuffleWriteMetricsReporter): Unit = {
     if (spills.isEmpty) {
       // Case where we only have in-memory data
       val collection = if (aggregator.isDefined) map else buffer
@@ -713,7 +714,7 @@ private[spark] class ExternalSorter[K, V, C](
             serializerManager,
             serInstance,
             blockId,
-            context.taskMetrics().shuffleWriteMetrics,
+            writeMetrics,
             if (partitionChecksums.nonEmpty) partitionChecksums(partitionId) else null)
           while (it.hasNext && it.nextPartition() == partitionId) {
             it.writeNext(partitionPairsWriter)
@@ -737,7 +738,7 @@ private[spark] class ExternalSorter[K, V, C](
             serializerManager,
             serInstance,
             blockId,
-            context.taskMetrics().shuffleWriteMetrics,
+            writeMetrics,
             if (partitionChecksums.nonEmpty) partitionChecksums(id) else null)
           if (elements.hasNext) {
             for (elem <- elements) {
diff --git a/core/src/test/scala/org/apache/spark/shuffle/sort/SortShuffleWriterSuite.scala b/core/src/test/scala/org/apache/spark/shuffle/sort/SortShuffleWriterSuite.scala
index 9e52b5e15143b..99402abb16cac 100644
--- a/core/src/test/scala/org/apache/spark/shuffle/sort/SortShuffleWriterSuite.scala
+++ b/core/src/test/scala/org/apache/spark/shuffle/sort/SortShuffleWriterSuite.scala
@@ -85,6 +85,7 @@ class SortShuffleWriterSuite
       shuffleHandle,
       mapId = 1,
       context,
+      context.taskMetrics().shuffleWriteMetrics,
       shuffleExecutorComponents)
     writer.write(Iterator.empty)
     writer.stop(success = true)
@@ -102,6 +103,7 @@ class SortShuffleWriterSuite
       shuffleHandle,
       mapId = 2,
       context,
+      context.taskMetrics().shuffleWriteMetrics,
       shuffleExecutorComponents)
     writer.write(records.iterator)
     writer.stop(success = true)
@@ -158,6 +160,7 @@ class SortShuffleWriterSuite
         shuffleHandle,
         mapId = 0,
         context,
+        context.taskMetrics().shuffleWriteMetrics,
         new LocalDiskShuffleExecutorComponents(
           conf, shuffleBlockResolver._blockManager, shuffleBlockResolver))
       writer.write(records.iterator)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/UnsafeRowSerializerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/UnsafeRowSerializerSuite.scala
index d949342106159..928d732f2a160 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/UnsafeRowSerializerSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/UnsafeRowSerializerSuite.scala
@@ -130,7 +130,8 @@ class UnsafeRowSerializerSuite extends SparkFunSuite with LocalSparkSession {
     assert(sorter.numSpills > 0)
 
     // Merging spilled files should not throw assertion error
-    sorter.writePartitionedMapOutput(0, 0, mapOutputWriter)
+    sorter.writePartitionedMapOutput(0, 0, mapOutputWriter,
+      taskContext.taskMetrics.shuffleWriteMetrics)
   }
 
   test("SPARK-10403: unsafe row serializer with SortShuffleManager") {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index 7c280f72ca176..cab3e69b0d17b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -26,6 +26,7 @@ import org.scalatest.time.SpanSugar._
 
 import org.apache.spark.SparkException
 import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
+import org.apache.spark.shuffle.sort.SortShuffleManager
 import org.apache.spark.sql.{Dataset, QueryTest, Row, SparkSession, Strategy}
 import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
@@ -60,7 +61,8 @@ class AdaptiveQueryExecSuite
 
   setupTestData()
 
-  private def runAdaptiveAndVerifyResult(query: String): (SparkPlan, SparkPlan) = {
+  private def runAdaptiveAndVerifyResult(query: String,
+      skipCheckAnswer: Boolean = false): (SparkPlan, SparkPlan) = {
     var finalPlanCnt = 0
     var hasMetricsEvent = false
     val listener = new SparkListener {
@@ -84,8 +86,10 @@ class AdaptiveQueryExecSuite
     assert(planBefore.toString.startsWith("AdaptiveSparkPlan isFinalPlan=false"))
     val result = dfAdaptive.collect()
     withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false") {
-      val df = sql(query)
-      checkAnswer(df, result)
+      if (!skipCheckAnswer) {
+        val df = sql(query)
+        checkAnswer(df, result)
+      }
     }
     val planAfter = dfAdaptive.queryExecution.executedPlan
     assert(planAfter.toString.startsWith("AdaptiveSparkPlan isFinalPlan=true"))
@@ -2405,6 +2409,28 @@ class AdaptiveQueryExecSuite
     }
   }
 
+  test("SPARK-48037: Fix SortShuffleWriter lacks shuffle write related metrics " +
+    "resulting in potentially inaccurate data") {
+    withTable("t3") {
+      withSQLConf(
+        SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+        SQLConf.SHUFFLE_PARTITIONS.key -> (SortShuffleManager
+          .MAX_SHUFFLE_OUTPUT_PARTITIONS_FOR_SERIALIZED_MODE + 1).toString) {
+        sql("CREATE TABLE t3 USING PARQUET AS SELECT id FROM range(2)")
+        val (plan, adaptivePlan) = runAdaptiveAndVerifyResult(
+          """
+            |SELECT id, count(*)
+            |FROM t3
+            |GROUP BY id
+            |LIMIT 1
+            |""".stripMargin, skipCheckAnswer = true)
+        // The shuffle stage produces two rows and the limit operator should not been optimized out.
+        assert(findTopLevelLimit(plan).size == 1)
+        assert(findTopLevelLimit(adaptivePlan).size == 1)
+      }
+    }
+  }
+
   test("SPARK-37063: OptimizeSkewInRebalancePartitions support optimize non-root node") {
     withTempView("v") {
       withSQLConf(

From 36da89deccc916a6f32d9bf6d6f2fd8e288da917 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 6 May 2024 13:45:54 +0800
Subject: [PATCH 694/986] [SPARK-48138][CONNECT][TESTS] Disable a flaky
 `SparkSessionE2ESuite.interrupt tag` test

### What changes were proposed in this pull request?

This PR aims to disable  a flaky test, `SparkSessionE2ESuite.interrupt tag`, temporarily.

To re-enable this, SPARK-48139 is created as a blocker issue for 4.0.0.

### Why are the changes needed?

This test case was added at `Apache Spark 3.5.0` but has been unstable unfortunately until now.
- #42009

We tried to stabilize this test case before `Apache Spark 4.0.0-preview`.
- #45173
- #46374

However, it's still flaky.

- https://github.com/apache/spark/actions/runs/8962353911/job/24611130573 (Master, 2024-05-05)
- https://github.com/apache/spark/actions/runs/8948176536/job/24581022674 (Master, 2024-05-04)

This PR aims to stablize CI first and to focus this flaky issue as a blocker level before going on `Spark Connect GA` in SPARK-48139 before Apache Spark 4.0.0.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46396 from dongjoon-hyun/SPARK-48138.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 8294c5962febe53eebdff79f65f5f293d93a1997)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
index c76dc724828e5..e9c2f0c457508 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionE2ESuite.scala
@@ -108,7 +108,8 @@ class SparkSessionE2ESuite extends RemoteSparkSession {
     assert(interrupted.length == 2, s"Interrupted operations: $interrupted.")
   }
 
-  test("interrupt tag") {
+  // TODO(SPARK-48139): Re-enable `SparkSessionE2ESuite.interrupt tag`
+  ignore("interrupt tag") {
     val session = spark
     import session.implicits._
 

From ac4c5d618e02281a3748cd0431539019a140ec27 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 8 May 2024 20:00:43 +0900
Subject: [PATCH 695/986] [SPARK-48087][PYTHON][TESTS][3.5] Remove obsolete
 comment about UDTF test

### What changes were proposed in this pull request?

UDTF is experimental, and its design has not been fully implemented yet. Not documented either so it's left as a breaking change.

### Why are the changes needed?

To remove the obsolete comment.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

N/A

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46473 from HyukjinKwon/SPARK-48087.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/connect/test_parity_udtf.py | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/python/pyspark/sql/tests/connect/test_parity_udtf.py b/python/pyspark/sql/tests/connect/test_parity_udtf.py
index 5955b502e48b2..ebf7692a20cd8 100644
--- a/python/pyspark/sql/tests/connect/test_parity_udtf.py
+++ b/python/pyspark/sql/tests/connect/test_parity_udtf.py
@@ -59,84 +59,72 @@ def eval(self, a: int):
         ):
             TestUDTF(lit(1)).collect()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_udtf_init_with_additional_args(self):
         super(UDTFParityTests, self).test_udtf_init_with_additional_args()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_udtf_with_wrong_num_input(self):
         super(UDTFParityTests, self).test_udtf_with_wrong_num_input()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_array_output_type_casting(self):
         super(UDTFParityTests, self).test_array_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_map_output_type_casting(self):
         super(UDTFParityTests, self).test_map_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_numeric_output_type_casting(self):
         super(UDTFParityTests, self).test_numeric_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_numeric_output_type_casting(self):
         super(UDTFParityTests, self).test_numeric_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_numeric_string_output_type_casting(self):
         super(UDTFParityTests, self).test_numeric_string_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_string_output_type_casting(self):
         super(UDTFParityTests, self).test_string_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_string_output_type_casting(self):
         super(UDTFParityTests, self).test_string_output_type_casting()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_struct_output_type_casting_dict(self):
         super(UDTFParityTests, self).test_struct_output_type_casting_dict()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )
     def test_udtf_init_with_additional_args(self):
         super(UDTFParityTests, self).test_udtf_init_with_additional_args()
 
-    # TODO(SPARK-48087): Reenable this test case
     @unittest.skipIf(
         "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
     )

From a762f3175fcdb7b069faa0c2bfce93d295cb1f10 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Wed, 8 May 2024 07:44:22 -0700
Subject: [PATCH 696/986] [SPARK-48184][PYTHON][CONNECT] Always set the seed of
 `Dataframe.sample` in Client side

### What changes were proposed in this pull request?
Always set the seed of `Dataframe.sample` in Client side

### Why are the changes needed?
Bug fix

If the seed is not set in Client, it will be set in server side with a random int

https://github.com/apache/spark/blob/c4df12cc884cddefcfcf8324b4d7b9349fb4f6a0/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala#L386

which cause inconsistent results in multiple executions

In Spark Classic:
```
In [1]: df = spark.range(10000).sample(0.1)

In [2]: [df.count() for i in range(10)]
Out[2]: [1006, 1006, 1006, 1006, 1006, 1006, 1006, 1006, 1006, 1006]
```

In Spark Connect:

before:
```
In [1]: df = spark.range(10000).sample(0.1)

In [2]: [df.count() for i in range(10)]
Out[2]: [969, 1005, 958, 996, 987, 1026, 991, 1020, 1012, 979]
```

after:
```
In [1]: df = spark.range(10000).sample(0.1)

In [2]: [df.count() for i in range(10)]
Out[2]: [1032, 1032, 1032, 1032, 1032, 1032, 1032, 1032, 1032, 1032]
```

### Does this PR introduce _any_ user-facing change?
yes, bug fix

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #46456 from zhengruifeng/py_connect_sample_seed.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 47afe77242abf639a1d6966ce60cfd170a9d7d20)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 python/pyspark/sql/connect/dataframe.py               | 2 +-
 python/pyspark/sql/tests/connect/test_connect_plan.py | 2 +-
 python/pyspark/sql/tests/test_dataframe.py            | 5 +++++
 3 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index ff61916420258..6f23a15fb4ad1 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -687,7 +687,7 @@ def sample(
         if withReplacement is None:
             withReplacement = False
 
-        seed = int(seed) if seed is not None else None
+        seed = int(seed) if seed is not None else random.randint(0, sys.maxsize)
 
         return DataFrame.withPlan(
             plan.Sample(
diff --git a/python/pyspark/sql/tests/connect/test_connect_plan.py b/python/pyspark/sql/tests/connect/test_connect_plan.py
index c39fb6be24cdd..88ef37511a666 100644
--- a/python/pyspark/sql/tests/connect/test_connect_plan.py
+++ b/python/pyspark/sql/tests/connect/test_connect_plan.py
@@ -430,7 +430,7 @@ def test_sample(self):
         self.assertEqual(plan.root.sample.lower_bound, 0.0)
         self.assertEqual(plan.root.sample.upper_bound, 0.3)
         self.assertEqual(plan.root.sample.with_replacement, False)
-        self.assertEqual(plan.root.sample.HasField("seed"), False)
+        self.assertEqual(plan.root.sample.HasField("seed"), True)
         self.assertEqual(plan.root.sample.deterministic_order, False)
 
         plan = (
diff --git a/python/pyspark/sql/tests/test_dataframe.py b/python/pyspark/sql/tests/test_dataframe.py
index 5907c8c09fb46..887648018cf3f 100644
--- a/python/pyspark/sql/tests/test_dataframe.py
+++ b/python/pyspark/sql/tests/test_dataframe.py
@@ -1045,6 +1045,11 @@ def test_sample(self):
             IllegalArgumentException, lambda: self.spark.range(1).sample(-1.0).count()
         )
 
+    def test_sample_with_random_seed(self):
+        df = self.spark.range(10000).sample(0.1)
+        cnts = [df.count() for i in range(10)]
+        self.assertEqual(1, len(set(cnts)))
+
     def test_toDF_with_string(self):
         df = self.spark.createDataFrame([("John", 30), ("Alice", 25), ("Bob", 28)])
         data = [("John", 30), ("Alice", 25), ("Bob", 28)]

From ff691fa611f0c8a7f0ff626179bced2b48ef9b7d Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 8 May 2024 13:45:55 -0700
Subject: [PATCH 697/986] [SPARK-48116][INFRA][3.5] Run `pyspark-pandas*` only
 in PR builder and Daily Python CIs

### What changes were proposed in this pull request?

This PR aims to run `pyspark-pandas*` of `branch-3.5` only in PR builder and Daily Python CIs. In other words, only the commit builder will skip it by default. Please note that all PR builders is not consuming ASF resources and they provides lots of test coverage everyday.

`branch-3.5` Python Daily CI runs all Python tests including `pyspark-pandas` like the following.

https://github.com/apache/spark/blob/21548a8cc5c527d4416a276a852f967b4410bd4b/.github/workflows/build_branch35_python.yml#L43-L44

### Why are the changes needed?

To reduce GitHub Action usage to meet ASF INFRA policy.
- https://infra.apache.org/github-actions-policy.html

    > All workflows MUST have a job concurrency level less than or equal to 20. This means a workflow cannot have more than 20 jobs running at the same time across all matrices.

Although `pandas` is an **optional** package in PySpark, this is essential for PySpark users and we have **6 test pipelines** which requires lots of resources. We need to optimize the job concurrently level to `less than or equal to 20` while keeping the test capability as much as possible.

https://github.com/apache/spark/blob/a762f3175fcdb7b069faa0c2bfce93d295cb1f10/dev/requirements.txt#L4-L7

- pyspark-pandas
- pyspark-pandas-slow
- pyspark-pandas-connect
- pyspark-pandas-slow-connect

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46482 from dongjoon-hyun/SPARK-48116-3.5.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 9c3dc95d0f66c..679c51bb0941e 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -82,6 +82,11 @@ jobs:
           pyspark=true; sparkr=true; tpcds=true; docker=true;
           pyspark_modules=`cd dev && python -c "import sparktestsupport.modules as m; print(','.join(m.name for m in m.all_modules if m.name.startswith('pyspark')))"`
           pyspark=`./dev/is-changed.py -m $pyspark_modules`
+          if [ "${{ github.repository != 'apache/spark' }}" ]; then
+            pandas=$pyspark
+          else
+            pandas=false
+          fi
           sparkr=`./dev/is-changed.py -m sparkr`
           tpcds=`./dev/is-changed.py -m sql`
           docker=`./dev/is-changed.py -m docker-integration-tests`
@@ -90,6 +95,7 @@ jobs:
             {
               \"build\": \"$build\",
               \"pyspark\": \"$pyspark\",
+              \"pyspark-pandas\": \"$pandas\",
               \"sparkr\": \"$sparkr\",
               \"tpcds-1g\": \"$tpcds\",
               \"docker-integration-tests\": \"$docker\",
@@ -361,6 +367,14 @@ jobs:
             pyspark-pandas-connect
           - >-
             pyspark-pandas-slow-connect
+        exclude:
+          # Always run if pyspark-pandas == 'true', even infra-image is skip (such as non-master job)
+          # In practice, the build will run in individual PR, but not against the individual commit
+          # in Apache Spark repository.
+          - modules: ${{ fromJson(needs.precondition.outputs.required).pyspark-pandas != 'true' && 'pyspark-pandas' }}
+          - modules: ${{ fromJson(needs.precondition.outputs.required).pyspark-pandas != 'true' && 'pyspark-pandas-slow' }}
+          - modules: ${{ fromJson(needs.precondition.outputs.required).pyspark-pandas != 'true' && 'pyspark-pandas-connect' }}
+          - modules: ${{ fromJson(needs.precondition.outputs.required).pyspark-pandas != 'true' && 'pyspark-pandas-slow-connect' }}
     env:
       MODULES_TO_TEST: ${{ matrix.modules }}
       HADOOP_PROFILE: ${{ inputs.hadoop }}

From 81775a083f2339a76f3d1af472baf58e6fdf47d2 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 3 May 2024 21:25:41 -0700
Subject: [PATCH 698/986] [SPARK-48116][INFRA][FOLLOWUP] Fix `if` statement to
 check repository

---
 .github/workflows/build_and_test.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 679c51bb0941e..051e8c98908cc 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -82,7 +82,7 @@ jobs:
           pyspark=true; sparkr=true; tpcds=true; docker=true;
           pyspark_modules=`cd dev && python -c "import sparktestsupport.modules as m; print(','.join(m.name for m in m.all_modules if m.name.startswith('pyspark')))"`
           pyspark=`./dev/is-changed.py -m $pyspark_modules`
-          if [ "${{ github.repository != 'apache/spark' }}" ]; then
+          if [[ "${{ github.repository }}" != 'apache/spark' ]]; then
             pandas=$pyspark
           else
             pandas=false

From 26dccf09322fc9945557a6e005a15e14fc6926b0 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 2 May 2024 23:21:59 -0700
Subject: [PATCH 699/986] [SPARK-48109][INFRA] Enable `k8s-integration-tests`
 only for `kubernetes` module change

This PR aims to enable `k8s-integration-tests` only for `kubernetes` module change.

Although there is a chance of missing `core` module change, the daily CI test coverage will reveal that.

To reduce GitHub Action usage to meet ASF INFRA policy.
- https://infra.apache.org/github-actions-policy.html

    > The average number of minutes a project uses in any consecutive five-day period MUST NOT exceed the equivalent of 30 full-time runners (216,000 minutes, or 3,600 hours).

No.

Manual review.

No.

Closes #46356 from dongjoon-hyun/SPARK-48109.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 63837020ed29c9e6003f24117ad21f8b97f40f0f)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 051e8c98908cc..e73dced982388 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -90,6 +90,7 @@ jobs:
           sparkr=`./dev/is-changed.py -m sparkr`
           tpcds=`./dev/is-changed.py -m sql`
           docker=`./dev/is-changed.py -m docker-integration-tests`
+          kubernetes=`./dev/is-changed.py -m kubernetes`
           build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`
           precondition="
             {
@@ -102,7 +103,7 @@ jobs:
               \"scala-213\": \"$build\",
               \"java-11-17\": \"$build\",
               \"lint\" : \"true\",
-              \"k8s-integration-tests\" : \"true\",
+              \"k8s-integration-tests\" : \"$kubernetes\",
               \"breaking-changes-buf\" : \"true\",
             }"
           echo $precondition # For debugging

From 9454607944df5e8430642bbe399a35436506be2a Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sat, 4 May 2024 22:55:04 -0700
Subject: [PATCH 700/986] [SPARK-48132][INFRA] Run `k8s-integration-tests` only
 in PR builder and Daily CIs

This PR aims to run `k8s-integration-tests` only in PR builder and Daily Python CIs. In other words, only the commit builder will skip it by default.

Please note that
- K8s unit tests will be covered by the commit builder still.
- All PR builders are not consuming ASF resources and they provide lots of test coverage everyday also.

To reduce GitHub Action usage to meet ASF INFRA policy.
- https://infra.apache.org/github-actions-policy.html

    > All workflows MUST have a job concurrency level less than or equal to 20. This means a workflow cannot have more than 20 jobs running at the same time across all matrices.

No.

Manual review.

No.

Closes #46388 from dongjoon-hyun/SPARK-48132.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index e73dced982388..645054dc20877 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -84,13 +84,14 @@ jobs:
           pyspark=`./dev/is-changed.py -m $pyspark_modules`
           if [[ "${{ github.repository }}" != 'apache/spark' ]]; then
             pandas=$pyspark
+            kubernetes=`./dev/is-changed.py -m kubernetes`
           else
             pandas=false
+            kubernetes=false
           fi
           sparkr=`./dev/is-changed.py -m sparkr`
           tpcds=`./dev/is-changed.py -m sql`
           docker=`./dev/is-changed.py -m docker-integration-tests`
-          kubernetes=`./dev/is-changed.py -m kubernetes`
           build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`
           precondition="
             {

From 6dbbf081a7d248ddce62b62e979ff06a3c793f22 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Sun, 5 May 2024 13:19:23 -0700
Subject: [PATCH 701/986] [SPARK-48133][INFRA] Run `sparkr` only in PR builders
 and Daily CIs

This PR aims to run `sparkr` only in PR builder and Daily Python CIs. In other words, only the commit builder will skip it by default.

To reduce GitHub Action usage to meet ASF INFRA policy.
- https://infra.apache.org/github-actions-policy.html

    > All workflows MUST have a job concurrency level less than or equal to 20. This means a workflow cannot have more than 20 jobs running at the same time across all matrices.

No.

Manual review.

No.

Closes #46389 from dongjoon-hyun/SPARK-48133.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 32ba5c1db62caaaa2674e8acced56f89ed840bf9)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 645054dc20877..4ad4a243c76d6 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -79,17 +79,17 @@ jobs:
       id: set-outputs
       run: |
         if [ -z "${{ inputs.jobs }}" ]; then
-          pyspark=true; sparkr=true; tpcds=true; docker=true;
           pyspark_modules=`cd dev && python -c "import sparktestsupport.modules as m; print(','.join(m.name for m in m.all_modules if m.name.startswith('pyspark')))"`
           pyspark=`./dev/is-changed.py -m $pyspark_modules`
           if [[ "${{ github.repository }}" != 'apache/spark' ]]; then
             pandas=$pyspark
             kubernetes=`./dev/is-changed.py -m kubernetes`
+            sparkr=`./dev/is-changed.py -m sparkr`
           else
             pandas=false
             kubernetes=false
+            sparkr=false
           fi
-          sparkr=`./dev/is-changed.py -m sparkr`
           tpcds=`./dev/is-changed.py -m sql`
           docker=`./dev/is-changed.py -m docker-integration-tests`
           build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`

From 82779217b1fa1dea2b18772795969c04c1f34532 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 8 May 2024 17:13:11 +0900
Subject: [PATCH 702/986] [SPARK-48192][INFRA] Enable TPC-DS tests in forked
 repository

This PR is a sort of a followup of https://github.com/apache/spark/pull/46361. It proposes to run TPC-DS and Docker integration tests in PRs (that does not consume ASF resources).

TPC-DS and Docker integration stuff at least have to be tested in the PR if the PR touches the codes related to that.

No, test-only.

Manually

No.

Closes #46470 from HyukjinKwon/SPARK-48192.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit f693abc8de949b1fd5f77b9e74037b0cc2298aef)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .github/workflows/build_and_test.yml | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 4ad4a243c76d6..b016a29a86be1 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -85,13 +85,15 @@ jobs:
             pandas=$pyspark
             kubernetes=`./dev/is-changed.py -m kubernetes`
             sparkr=`./dev/is-changed.py -m sparkr`
+            tpcds=`./dev/is-changed.py -m sql`
+            docker=`./dev/is-changed.py -m docker-integration-tests`
           else
             pandas=false
             kubernetes=false
             sparkr=false
+            tpcds=false
+            docker=false
           fi
-          tpcds=`./dev/is-changed.py -m sql`
-          docker=`./dev/is-changed.py -m docker-integration-tests`
           build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`
           precondition="
             {

From 541e1c4da131ce737b9cf554028cf292bebbcf04 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 9 May 2024 10:56:21 +0800
Subject: [PATCH 703/986] [SPARK-48197][SQL] Avoid assert error for invalid
 lambda function

### What changes were proposed in this pull request?

`ExpressionBuilder` asserts all its input expressions to be resolved during lookup, which is not true as the analyzer rule `ResolveFunctions` can trigger function lookup even if the input expression contains unresolved lambda functions.

This PR updates that assert to check non-lambda inputs only, and fail earlier if the input contains lambda functions. In the future, if we use `ExpressionBuilder` to register higher-order functions, we can relax it.

### Why are the changes needed?

better error message

### Does this PR introduce _any_ user-facing change?

no, only changes error message

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46475 from cloud-fan/minor.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7e79e91dc8c531ee9135f0e32a9aa2e1f80c4bbf)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/analysis/FunctionRegistry.scala  |  9 +++++++-
 .../plans/logical/FunctionBuilderBase.scala   |  2 ++
 .../ansi/higher-order-functions.sql.out       | 20 +++++++++++++++++
 .../higher-order-functions.sql.out            | 20 +++++++++++++++++
 .../inputs/higher-order-functions.sql         |  2 ++
 .../ansi/higher-order-functions.sql.out       | 22 +++++++++++++++++++
 .../results/higher-order-functions.sql.out    | 22 +++++++++++++++++++
 7 files changed, 96 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
index 558579cdb80ac..aaf718fab941d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
@@ -930,7 +930,14 @@ object FunctionRegistry {
       since: Option[String] = None): (String, (ExpressionInfo, FunctionBuilder)) = {
     val info = FunctionRegistryBase.expressionInfo[T](name, since)
     val funcBuilder = (expressions: Seq[Expression]) => {
-      assert(expressions.forall(_.resolved), "function arguments must be resolved.")
+      val (lambdas, others) = expressions.partition(_.isInstanceOf[LambdaFunction])
+      if (lambdas.nonEmpty && !builder.supportsLambda) {
+        throw new AnalysisException(
+          errorClass = "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
+          messageParameters = Map(
+            "class" -> builder.getClass.getCanonicalName))
+      }
+      assert(others.forall(_.resolved), "function arguments must be resolved.")
       val rearrangedExpressions = rearrangeExpressions(name, builder, expressions)
       val expr = builder.build(name, rearrangedExpressions)
       if (setAlias) expr.setTagValue(FUNC_ALIAS, name)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
index 1088655f60cd4..a901fa5a72c5c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala
@@ -69,6 +69,8 @@ trait FunctionBuilderBase[T] {
   }
 
   def build(funcName: String, expressions: Seq[Expression]): T
+
+  def supportsLambda: Boolean = false
 }
 
 object NamedParametersSupport {
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
index 08d3be615b314..3fafb9858e5ab 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
@@ -34,6 +34,26 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+select ceil(x -> x) as v
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
+  "sqlState" : "42K0D",
+  "messageParameters" : {
+    "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 19,
+    "fragment" : "ceil(x -> x)"
+  } ]
+}
+
+
 -- !query
 select transform(zs, z -> z) as v from nested
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
index f656716a843e0..d9e88ac618aaf 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
@@ -34,6 +34,26 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+select ceil(x -> x) as v
+-- !query analysis
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
+  "sqlState" : "42K0D",
+  "messageParameters" : {
+    "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 19,
+    "fragment" : "ceil(x -> x)"
+  } ]
+}
+
+
 -- !query
 select transform(zs, z -> z) as v from nested
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/higher-order-functions.sql b/sql/core/src/test/resources/sql-tests/inputs/higher-order-functions.sql
index 7925a21de04cd..37081de012e98 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/higher-order-functions.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/higher-order-functions.sql
@@ -11,6 +11,8 @@ create or replace temporary view nested as values
 
 -- Only allow lambda's in higher order functions.
 select upper(x -> x) as v;
+-- Also test functions registered with `ExpressionBuilder`.
+select ceil(x -> x) as v;
 
 -- Identity transform an array
 select transform(zs, z -> z) as v from nested;
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
index e479b49463e74..eb9c454109f0f 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
@@ -32,6 +32,28 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+select ceil(x -> x) as v
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
+  "sqlState" : "42K0D",
+  "messageParameters" : {
+    "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 19,
+    "fragment" : "ceil(x -> x)"
+  } ]
+}
+
+
 -- !query
 select transform(zs, z -> z) as v from nested
 -- !query schema
diff --git a/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
index e479b49463e74..eb9c454109f0f 100644
--- a/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
@@ -32,6 +32,28 @@ org.apache.spark.sql.AnalysisException
 }
 
 
+-- !query
+select ceil(x -> x) as v
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+{
+  "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
+  "sqlState" : "42K0D",
+  "messageParameters" : {
+    "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
+  },
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 19,
+    "fragment" : "ceil(x -> x)"
+  } ]
+}
+
+
 -- !query
 select transform(zs, z -> z) as v from nested
 -- !query schema

From da4c808be7d66dc61fdcb3b41254eef77298a72c Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 9 May 2024 14:46:01 -0700
Subject: [PATCH 704/986] [SPARK-48197][SQL][TESTS][FOLLOWUP][3.5] Regenerate
 golden files

### What changes were proposed in this pull request?

This PR is a follow-up to regenerate golden files for branch-3.5
- #46475

### Why are the changes needed?

To recover branch-3.5 CI.
- https://github.com/apache/spark/actions/runs/9011670853/job/24786397001
```
[info] *** 4 TESTS FAILED ***
[error] Failed: Total 3036, Failed 4, Errors 0, Passed 3032, Ignored 3
[error] Failed tests:
[error] 	org.apache.spark.sql.SQLQueryTestSuite
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46514 from dongjoon-hyun/SPARK-48197.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../analyzer-results/ansi/higher-order-functions.sql.out         | 1 -
 .../sql-tests/analyzer-results/higher-order-functions.sql.out    | 1 -
 .../sql-tests/results/ansi/higher-order-functions.sql.out        | 1 -
 .../resources/sql-tests/results/higher-order-functions.sql.out   | 1 -
 4 files changed, 4 deletions(-)

diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
index 3fafb9858e5ab..8fe6e7097e67e 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/ansi/higher-order-functions.sql.out
@@ -40,7 +40,6 @@ select ceil(x -> x) as v
 org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
-  "sqlState" : "42K0D",
   "messageParameters" : {
     "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
   },
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
index d9e88ac618aaf..d851019860789 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/higher-order-functions.sql.out
@@ -40,7 +40,6 @@ select ceil(x -> x) as v
 org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
-  "sqlState" : "42K0D",
   "messageParameters" : {
     "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
   },
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
index eb9c454109f0f..dceb370c83884 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/higher-order-functions.sql.out
@@ -40,7 +40,6 @@ struct<>
 org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
-  "sqlState" : "42K0D",
   "messageParameters" : {
     "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
   },
diff --git a/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
index eb9c454109f0f..dceb370c83884 100644
--- a/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/higher-order-functions.sql.out
@@ -40,7 +40,6 @@ struct<>
 org.apache.spark.sql.AnalysisException
 {
   "errorClass" : "INVALID_LAMBDA_FUNCTION_CALL.NON_HIGHER_ORDER_FUNCTION",
-  "sqlState" : "42K0D",
   "messageParameters" : {
     "class" : "org.apache.spark.sql.catalyst.expressions.CeilExpressionBuilder$"
   },

From dc4911725baa8b9e5f3c095c27a569b98c0bd8a3 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Fri, 10 May 2024 08:39:52 +0900
Subject: [PATCH 705/986] [SPARK-48089][SS][CONNECT] Fix 3.5 <> 4.0
 StreamingQueryListener compatibility test

### What changes were proposed in this pull request?

Fix the 3.5 <> 4.0 compatibility test. This is a test only issue. The reason of the failure could be a pickle optimization.
On branch 3.5, there is a listener named "TestListener", but on 4.0, it was renamed to "TestListenerSpark". In the test, the listener should be serialized to the server. But on the 4.0 server, we see this error:
```
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/sql/connect/streaming/worker/listener_worker.py", line 115, in <module>
  File "/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/sql/connect/streaming/worker/listener_worker.py", line 73, in main
  File "/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/worker_util.py", line 64, in read_command
  File "/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/serializers.py", line 173, in _read_with_length
  File "/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/serializers.py", line 473, in loads
AttributeError: Can't get attribute 'TestListener' on <module 'pyspark.sql.tests.connect.streaming.test_parity_listener' from '/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/sql/tests/connect/streaming/test_parity_listener.py'>
```

It cannot find the `TestListener` on 4.0 server. This indicates that the 4.0 server is trying to read that `TestListener` from it's local `<module 'pyspark.sql.tests.connect.streaming.test_parity_listener' from '/home/runner/work/oss-spark/oss-spark/python/lib/pyspark.zip/pyspark/sql/tests/connect/streaming/test_parity_listener.py'>` but `TestListener` is not there. If the TestListener is really serialized and streamed to the server to deserialize, the server should not throw this error. So it could be that pickle is trying to do some fast load, but I'm not really sure about this theory. But anyways an easy fix is to just rename the listener on 3.5.

Also cherry-picked https://github.com/apache/spark/commit/4d9dbb35aacb6bd8ca1e5a6dff5076034b5a042b to remove the tables after testing.

### Why are the changes needed?

Backward compatibility test fix for Spark Connect

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Tested on my own branch: https://github.com/WweiL/oss-spark/actions/runs/9021444850

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46513 from WweiL/wweil-3.5.

Lead-authored-by: Wei Liu <wei.liu@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/streaming/test_parity_listener.py | 89 +++++++++----------
 1 file changed, 44 insertions(+), 45 deletions(-)

diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index 35ca2681cc97c..eae2b01c55446 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -14,8 +14,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-import os
-import unittest
 import time
 
 import pyspark.cloudpickle
@@ -25,7 +23,7 @@
 from pyspark.testing.connectutils import ReusedConnectTestCase
 
 
-class TestListener(StreamingQueryListener):
+class TestListenerSpark(StreamingQueryListener):
     def onQueryStarted(self, event):
         e = pyspark.cloudpickle.dumps(event)
         df = self.spark.createDataFrame(data=[(e,)])
@@ -45,52 +43,53 @@ def onQueryTerminated(self, event):
         df.write.mode("append").saveAsTable("listener_terminated_events")
 
 
-# TODO(SPARK-48089): Reenable this test case
-@unittest.skipIf(
-    "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
-)
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
     def test_listener_events(self):
-        test_listener = TestListener()
+        test_listener = TestListenerSpark()
 
         try:
-            self.spark.streams.addListener(test_listener)
-
-            # This ensures the read socket on the server won't crash (i.e. because of timeout)
-            # when there hasn't been a new event for a long time
-            time.sleep(30)
-
-            df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
-            df_observe = df.observe("my_event", count(lit(1)).alias("rc"))
-            df_stateful = df_observe.groupBy().count()  # make query stateful
-            q = (
-                df_stateful.writeStream.format("noop")
-                .queryName("test")
-                .outputMode("complete")
-                .start()
-            )
-
-            self.assertTrue(q.isActive)
-            time.sleep(10)
-            self.assertTrue(q.lastProgress["batchId"] > 0)  # ensure at least one batch is ran
-            q.stop()
-            self.assertFalse(q.isActive)
-
-            start_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_start_events").collect()[0][0]
-            )
-
-            progress_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_progress_events").collect()[0][0]
-            )
-
-            terminated_event = pyspark.cloudpickle.loads(
-                self.spark.read.table("listener_terminated_events").collect()[0][0]
-            )
-
-            self.check_start_event(start_event)
-            self.check_progress_event(progress_event)
-            self.check_terminated_event(terminated_event)
+            with self.table(
+                "listener_start_events",
+                "listener_progress_events",
+                "listener_terminated_events",
+            ):
+                self.spark.streams.addListener(test_listener)
+
+                # This ensures the read socket on the server won't crash (i.e. because of timeout)
+                # when there hasn't been a new event for a long time
+                time.sleep(30)
+
+                df = self.spark.readStream.format("rate").option("rowsPerSecond", 10).load()
+                df_observe = df.observe("my_event", count(lit(1)).alias("rc"))
+                df_stateful = df_observe.groupBy().count()  # make query stateful
+                q = (
+                    df_stateful.writeStream.format("noop")
+                    .queryName("test")
+                    .outputMode("complete")
+                    .start()
+                )
+
+                self.assertTrue(q.isActive)
+                time.sleep(10)
+                self.assertTrue(q.lastProgress["batchId"] > 0)  # ensure at least one batch is ran
+                q.stop()
+                self.assertFalse(q.isActive)
+
+                start_event = pyspark.cloudpickle.loads(
+                    self.spark.read.table("listener_start_events").collect()[0][0]
+                )
+
+                progress_event = pyspark.cloudpickle.loads(
+                    self.spark.read.table("listener_progress_events").collect()[0][0]
+                )
+
+                terminated_event = pyspark.cloudpickle.loads(
+                    self.spark.read.table("listener_terminated_events").collect()[0][0]
+                )
+
+                self.check_start_event(start_event)
+                self.check_progress_event(progress_event)
+                self.check_terminated_event(terminated_event)
 
         finally:
             self.spark.streams.removeListener(test_listener)

From c048653435f9b7c832f79d38a504a145a17654c0 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Thu, 9 May 2024 22:55:07 -0700
Subject: [PATCH 706/986] [SPARK-47847][CORE] Deprecate
 `spark.network.remoteReadNioBufferConversion`

### What changes were proposed in this pull request?

`spark.network.remoteReadNioBufferConversion` was introduced in https://github.com/apache/spark/commit/2c82745686f4456c4d5c84040a431dcb5b6cb60b, to allow disable [SPARK-24307](https://issues.apache.org/jira/browse/SPARK-24307) for safety, while during the whole Spark 3 period, there are no negative reports, it proves that [SPARK-24307](https://issues.apache.org/jira/browse/SPARK-24307) is solid enough, I propose to mark it deprecated in 3.5.2 and remove in 4.1.0 or later

### Why are the changes needed?

Code clean up

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass GA.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46047 from pan3793/SPARK-47847.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 33cac4436e593c9c501c5ff0eedf923d3a21899c)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 core/src/main/scala/org/apache/spark/SparkConf.scala | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/SparkConf.scala b/core/src/main/scala/org/apache/spark/SparkConf.scala
index 813a14acd19e4..f49e9e357c84d 100644
--- a/core/src/main/scala/org/apache/spark/SparkConf.scala
+++ b/core/src/main/scala/org/apache/spark/SparkConf.scala
@@ -638,7 +638,9 @@ private[spark] object SparkConf extends Logging {
       DeprecatedConfig("spark.blacklist.killBlacklistedExecutors", "3.1.0",
         "Please use spark.excludeOnFailure.killExcludedExecutors"),
       DeprecatedConfig("spark.yarn.blacklist.executor.launch.blacklisting.enabled", "3.1.0",
-        "Please use spark.yarn.executor.launch.excludeOnFailure.enabled")
+        "Please use spark.yarn.executor.launch.excludeOnFailure.enabled"),
+      DeprecatedConfig("spark.network.remoteReadNioBufferConversion", "3.5.2",
+        "Please open a JIRA ticket to report it if you need to use this configuration.")
     )
 
     Map(configs.map { cfg => (cfg.key -> cfg) } : _*)

From e9a1b4254419c751e612cd5e5c56f111b41399e7 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Fri, 10 May 2024 19:54:29 -0700
Subject: [PATCH 707/986] [SPARK-48237][BUILD] Clean up `dev/pr-deps` at the
 end of `test-dependencies.sh` script

### What changes were proposed in this pull request?
The pr aims to delete the dir `dev/pr-deps` after executing `test-dependencies.sh`.

### Why are the changes needed?
We'd better clean the `temporary files` generated at the end.
Before:
```
sh dev/test-dependencies.sh
```
<img width="569" alt="image" src="https://github.com/apache/spark/assets/15246973/39a56983-774c-4c2d-897d-26a7d0999456">

After:
```
sh dev/test-dependencies.sh
```
<img width="534" alt="image" src="https://github.com/apache/spark/assets/15246973/f7e76e22-63cf-4411-99d0-5e844f8d5a7a">

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #46531 from panbingkun/minor_test-dependencies.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit f699f556d8a09bb755e9c8558661a36fbdb42e73)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/test-dependencies.sh | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/dev/test-dependencies.sh b/dev/test-dependencies.sh
index d7967ac3afa90..36cc7a4f994dc 100755
--- a/dev/test-dependencies.sh
+++ b/dev/test-dependencies.sh
@@ -140,4 +140,8 @@ for HADOOP_HIVE_PROFILE in "${HADOOP_HIVE_PROFILES[@]}"; do
   fi
 done
 
+if [[ -d "$FWDIR/dev/pr-deps" ]]; then
+  rm -rf "$FWDIR/dev/pr-deps"
+fi
+
 exit 0

From ab511a784db2d2b9d0980b63a02fea8f472ceb76 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 13 May 2024 17:15:28 +0900
Subject: [PATCH 708/986] [SPARK-48248][PYTHON] Fix nested array to respect
 legacy conf of inferArrayTypeFromFirstElement

This PR fixes a bug that does not respect `spark.sql.pyspark.legacy.inferArrayTypeFromFirstElement.enabled` in nested arrays, introduced by https://github.com/apache/spark/pull/36545.

To have a way to restore the original behaviour.

Yes, it fixes the regression when `spark.sql.pyspark.legacy.inferArrayTypeFromFirstElement.enabled` is set to `True`.

Unittest added.

No.

Closes #46548 from HyukjinKwon/SPARK-48248.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit b2140d0f25d81e64a968df83c5da5089051acaac)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_types.py |  7 +++++++
 python/pyspark/sql/types.py            | 18 ++++++++++++++++--
 2 files changed, 23 insertions(+), 2 deletions(-)

diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index 00bd1d9a6f834..ad458988d4fd1 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -1275,6 +1275,13 @@ def test_yearmonth_interval_type(self):
         schema3 = self.spark.sql("SELECT INTERVAL '8' MONTH AS interval").schema
         self.assertEqual(schema3.fields[0].dataType, YearMonthIntervalType(1, 1))
 
+    def test_infer_array_element_type_with_struct(self):
+        # SPARK-48248: Nested array to respect legacy conf of inferArrayTypeFromFirstElement
+        with self.sql_conf(
+            {"spark.sql.pyspark.legacy.inferArrayTypeFromFirstElement.enabled": True}
+        ):
+            self.assertEqual([[1, None]], self.spark.createDataFrame([[[[1, "a"]]]]).first()[0])
+
 
 class DataTypeTests(unittest.TestCase):
     # regression test for SPARK-6055
diff --git a/python/pyspark/sql/types.py b/python/pyspark/sql/types.py
index 24964c56e2e89..a2a8796957623 100644
--- a/python/pyspark/sql/types.py
+++ b/python/pyspark/sql/types.py
@@ -1606,13 +1606,27 @@ def _infer_type(
         if len(obj) > 0:
             if infer_array_from_first_element:
                 return ArrayType(
-                    _infer_type(obj[0], infer_dict_as_struct, prefer_timestamp_ntz), True
+                    _infer_type(
+                        obj[0],
+                        infer_dict_as_struct,
+                        infer_array_from_first_element,
+                        prefer_timestamp_ntz,
+                    ),
+                    True,
                 )
             else:
                 return ArrayType(
                     reduce(
                         _merge_type,
-                        (_infer_type(v, infer_dict_as_struct, prefer_timestamp_ntz) for v in obj),
+                        (
+                            _infer_type(
+                                v,
+                                infer_dict_as_struct,
+                                infer_array_from_first_element,
+                                prefer_timestamp_ntz,
+                            )
+                            for v in obj
+                        ),
                     ),
                     True,
                 )

From 19d12b249f0fe4cb5b20b9722188c5a850147cec Mon Sep 17 00:00:00 2001
From: "joey.ljy" <joey.ljy@alibaba-inc.com>
Date: Tue, 14 May 2024 13:06:57 +0800
Subject: [PATCH 709/986] [SPARK-48241][SQL][3.5] CSV parsing failure with
 char/varchar type columns

### What changes were proposed in this pull request?
CSV table containing char and varchar columns will result in the following error when selecting from the CSV table:
```
spark-sql (default)> show create table test_csv;
CREATE TABLE default.test_csv (
  id INT,
  name CHAR(10))
USING csv
```
```
java.lang.IllegalArgumentException: requirement failed: requiredSchema (struct<id:int,name:string>) should be the subset of dataSchema (struct<id:int,name:string>).
    at scala.Predef$.require(Predef.scala:281)
    at org.apache.spark.sql.catalyst.csv.UnivocityParser.<init>(UnivocityParser.scala:56)
    at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.$anonfun$buildReader$2(CSVFileFormat.scala:127)
    at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:155)
    at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:140)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:231)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:293)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
```

### Why are the changes needed?
For char and varchar types, Spark will convert them to `StringType` in `CharVarcharUtils.replaceCharVarcharWithStringInSchema` and record `__CHAR_VARCHAR_TYPE_STRING` in the metadata.

The reason for the above error is that the `StringType` columns in the `dataSchema` and `requiredSchema` of `UnivocityParser` are not consistent. The `StringType` in the `dataSchema` has metadata, while the metadata in the `requiredSchema` is empty. We need to retain the metadata when resolving schema.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Add a new test case in `CSVSuite`.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #46565 from liujiayi771/branch-3.5-SPARK-48241.

Authored-by: joey.ljy <joey.ljy@alibaba-inc.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/plans/logical/LogicalPlan.scala  |  4 +++-
 .../src/test/resources/test-data/char.csv     |  4 ++++
 .../execution/datasources/csv/CSVSuite.scala  | 24 +++++++++++++++++++
 3 files changed, 31 insertions(+), 1 deletion(-)
 create mode 100644 sql/core/src/test/resources/test-data/char.csv

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
index 374eb070db1c9..7fe8bd356ea94 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
@@ -116,7 +116,9 @@ abstract class LogicalPlan
   def resolve(schema: StructType, resolver: Resolver): Seq[Attribute] = {
     schema.map { field =>
       resolve(field.name :: Nil, resolver).map {
-        case a: AttributeReference => a
+        case a: AttributeReference =>
+          // Keep the metadata in given schema.
+          a.withMetadata(field.metadata)
         case _ => throw QueryExecutionErrors.resolveCannotHandleNestedSchema(this)
       }.getOrElse {
         throw QueryCompilationErrors.cannotResolveAttributeError(
diff --git a/sql/core/src/test/resources/test-data/char.csv b/sql/core/src/test/resources/test-data/char.csv
new file mode 100644
index 0000000000000..d2be68a15fc12
--- /dev/null
+++ b/sql/core/src/test/resources/test-data/char.csv
@@ -0,0 +1,4 @@
+color,name
+pink,Bob
+blue,Mike
+grey,Tom
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index a91adb787838e..3762c00ff1a19 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -80,6 +80,7 @@ abstract class CSVSuite
   private val valueMalformedFile = "test-data/value-malformed.csv"
   private val badAfterGoodFile = "test-data/bad_after_good.csv"
   private val malformedRowFile = "test-data/malformedRow.csv"
+  private val charFile = "test-data/char.csv"
 
   /** Verifies data and schema. */
   private def verifyCars(
@@ -3226,6 +3227,29 @@ abstract class CSVSuite
       }
     }
   }
+
+  test("SPARK-48241: CSV parsing failure with char/varchar type columns") {
+    withTable("charVarcharTable") {
+      spark.sql(
+        s"""
+           |CREATE TABLE charVarcharTable(
+           |  color char(4),
+           |  name varchar(10))
+           |USING csv
+           |OPTIONS (
+           |  header "true",
+           |  path "${testFile(charFile)}"
+           |)
+       """.stripMargin)
+      val expected = Seq(
+        Row("pink", "Bob"),
+        Row("blue", "Mike"),
+        Row("grey", "Tom"))
+      checkAnswer(
+        sql("SELECT * FROM charVarcharTable"),
+        expected)
+    }
+  }
 }
 
 class CSVv1Suite extends CSVSuite {

From 34588a82239a5c12fefed13e271edd963b821b1c Mon Sep 17 00:00:00 2001
From: Angerszhuuuu <angers.zhu@gmail.com>
Date: Tue, 14 May 2024 13:44:47 +0800
Subject: [PATCH 710/986] [SPARK-48265][SQL] Infer window group limit batch
 should do constant folding

### What changes were proposed in this pull request?
Plan after PropagateEmptyRelation may generate double local limit
```
 GlobalLimit 21
 +- LocalLimit 21
!   +- Union false, false
!      :- LocalLimit 21
!      :  +- Project [item_id#647L]
!      :     +- Filter (xxxx)
!      :        +- Relation db.table[,... 91 more fields] parquet
!      +- LocalLimit 21
!         +- Project [item_id#738L]
!            +- LocalRelation <empty>, [, ... 91 more fields]
```
to
```
 GlobalLimit 21
    +- LocalLimit 21
       - LocalLimit 21
          +- Project [item_id#647L]
            +- Filter (xxxx)
               +- Relation db.table[,... 91 more fields] parquet
```
after `Infer window group limit batch` batch's `EliminateLimits`
will be
```
 GlobalLimit 21
    +- LocalLimit least(21, 21)
          +- Project [item_id#647L]
            +- Filter (xxxx)
               +- Relation db.table[,... 91 more fields] parquet
```
It can't work, here miss a `ConstantFolding`

### Why are the changes needed?
Fix bug

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46568 from AngersZhuuuu/SPARK-48265.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 7974811218c9fb52ac9d07f8983475a885ada81b)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../scala/org/apache/spark/sql/execution/SparkOptimizer.scala  | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala
index 70a35ea911538..6173703ef3cd9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala
@@ -89,7 +89,8 @@ class SparkOptimizer(
       InferWindowGroupLimit,
       LimitPushDown,
       LimitPushDownThroughWindow,
-      EliminateLimits) :+
+      EliminateLimits,
+      ConstantFolding) :+
     Batch("User Provided Optimizers", fixedPoint, experimentalMethods.extraOptimizations: _*) :+
     Batch("Replace CTE with Repartition", Once, ReplaceCTERefWithRepartition)
 

From 172a23f780ae2a603908421b49683aff6748e419 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Tue, 14 May 2024 15:40:51 +0900
Subject: [PATCH 711/986] [SPARK-48267][SS] Regression e2e test with
 SPARK-47305

### What changes were proposed in this pull request?

This PR proposes to add a regression test (e2e) with SPARK-47305.

As of commit cae2248bc13 (pre-Spark 4.0), the query in new unit test is represented as below logical plans:

> Batch 0

>> analyzed plan

```
WriteToMicroBatchDataSource MemorySink, 5067923b-e1d0-484c-914c-b111c9e60aac, Append, 0
+- Project [value#1]
   +- Join Inner, (cast(code#5 as bigint) = ref_code#14L)
      :- Union false, false
      :  :- Project [value#1, 1 AS code#5]
      :  :  +- StreamingDataSourceV2ScanRelation[value#1] MemoryStreamDataSource
      :  +- Project [value#3, cast(code#9 as int) AS code#16]
      :     +- Project [value#3, null AS code#9]
      :        +- LocalRelation <empty>, [value#3]
      +- Project [id#12L AS ref_code#14L]
         +- Range (1, 5, step=1, splits=Some(2))
```

>> optimized plan

```
WriteToDataSourceV2 MicroBatchWrite[epoch: 0, writer: ...]
+- Join Inner
   :- StreamingDataSourceV2ScanRelation[value#1] MemoryStreamDataSource
   +- Project
      +- Filter (1 = id#12L)
         +- Range (1, 5, step=1, splits=Some(2))
```

> Batch 1

>> analyzed plan

```
WriteToMicroBatchDataSource MemorySink, d1c8be66-88e7-437a-9f25-6b87db8efe17, Append, 1
+- Project [value#1]
   +- Join Inner, (cast(code#5 as bigint) = ref_code#14L)
      :- Union false, false
      :  :- Project [value#1, 1 AS code#5]
      :  :  +- LocalRelation <empty>, [value#1]
      :  +- Project [value#3, cast(code#9 as int) AS code#16]
      :     +- Project [value#3, null AS code#9]
      :        +- StreamingDataSourceV2ScanRelation[value#3] MemoryStreamDataSource
      +- Project [id#12L AS ref_code#14L]
         +- Range (1, 5, step=1, splits=Some(2))
```

>> optimized plan

```
WriteToDataSourceV2 MicroBatchWrite[epoch: 1, writer: ...]
+- Join Inner
   :- StreamingDataSourceV2ScanRelation[value#3] MemoryStreamDataSource
   +- LocalRelation <empty>
```

Notice the difference in optimized plan between batch 0 and batch 1. In optimized plan for batch 1, the batch side is pruned out, which goes with the path of PruneFilters. The sequence of optimization is,

1) left stream side is collapsed with empty local relation
2) union is replaced with subtree for right stream side as left stream side is simply an empty local relation
3) the value of 'code' column is now known to be 'null' and it's propagated to the join criteria (`null = ref_code`)
4) join criteria is extracted out from join, and being pushed to the batch side
5) the value of 'ref_code' column can never be null, hence the filter is optimized as `filter false`
6) `filter false` triggers PruneFilters (where we fix a bug in SPARK-47305)

Before SPARK-47305, a new empty local relation was incorrectly marked as streaming.

NOTE: I intentionally didn't put the detail like above as code comment, as optimization result is subject to change for Spark versions.

### Why are the changes needed?

In the PR of SPARK-47305 we only added an unit test to verify the fix, but it wasn't e2e about the workload we encountered an issue. Given the complexity of QO, it'd be ideal to put an e2e reproducer (despite simplified) as regression test.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46569 from HeartSaVioR/SPARK-48267.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 ...ingQueryOptimizationCorrectnessSuite.scala | 37 ++++++++++++++++++-
 1 file changed, 36 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
index efc84c8e4c7cf..d17da5d31edd4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
@@ -21,7 +21,7 @@ import java.sql.Timestamp
 
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.execution.streaming.MemoryStream
-import org.apache.spark.sql.functions.{lit, window}
+import org.apache.spark.sql.functions.{expr, lit, window}
 
 /**
  * This test ensures that any optimizations done by Spark SQL optimizer are
@@ -416,4 +416,39 @@ class StreamingQueryOptimizationCorrectnessSuite extends StreamTest {
       )
     }
   }
+
+  test("SPARK-48267: regression test, stream-stream union followed by stream-batch join") {
+    withTempDir { dir =>
+      val input1 = MemoryStream[Int]
+      val input2 = MemoryStream[Int]
+
+      val df1 = input1.toDF().withColumn("code", lit(1))
+      val df2 = input2.toDF().withColumn("code", lit(null))
+
+      // NOTE: The column 'ref_code' is known to be non-nullable.
+      val batchDf = spark.range(1, 5).select($"id".as("ref_code"))
+
+      val unionDf = df1.union(df2)
+        .join(batchDf, expr("code = ref_code"))
+        .select("value")
+
+      testStream(unionDf)(
+        StartStream(checkpointLocation = dir.getAbsolutePath),
+
+        AddData(input1, 1, 2, 3),
+        CheckNewAnswer(1, 2, 3),
+
+        AddData(input2, 1, 2, 3),
+        // The test failed before SPARK-47305 - the test failed with below error message:
+        // org.apache.spark.sql.streaming.StreamingQueryException: Stream-stream join without
+        // equality predicate is not supported.;
+        // Join Inner
+        // :- StreamingDataSourceV2ScanRelation[value#3] MemoryStreamDataSource
+        // +- LocalRelation <empty>
+        // Note that LocalRelation <empty> is actually a batch source (Range) but due to
+        // a bug, it was incorrect marked to the streaming. SPARK-47305 fixed the bug.
+        CheckNewAnswer()
+      )
+    }
+  }
 }

From f37fa436cd4e0ef9f486a60f9af91a3ce0195df9 Mon Sep 17 00:00:00 2001
From: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Date: Tue, 14 May 2024 23:31:46 +0800
Subject: [PATCH 712/986] [SPARK-48172][SQL] Fix escaping issues in JDBC
 Dialects

Special case escaping for MySQL and fix issues with redundant escaping for ' character.

When pushing down startsWith, endsWith and contains they are converted to LIKE. This requires addition of escape characters for these expressions. Unfortunately, MySQL uses ESCAPE '\\' syntax instead of ESCAPE '\' which would cause errors when trying to push down.

Yes

Tests for each existing dialect.

No.

Closes #46437 from mihailom-db/SPARK-48172.

Authored-by: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 47006a493f98ca85196194d16d58b5847177b1a3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/jdbc/v2/DB2IntegrationSuite.scala     |   6 +
 .../v2/DockerJDBCIntegrationV2Suite.scala     |  11 +
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala |   6 +
 .../sql/jdbc/v2/MySQLIntegrationSuite.scala   |   6 +
 .../sql/jdbc/v2/OracleIntegrationSuite.scala  |   6 +
 .../jdbc/v2/PostgresIntegrationSuite.scala    |   6 +
 .../apache/spark/sql/jdbc/v2/V2JDBCTest.scala | 229 ++++++++++++++++++
 .../util/V2ExpressionSQLBuilder.java          |   3 -
 .../connector/expressions/expressions.scala   |   4 +-
 .../org/apache/spark/sql/jdbc/H2Dialect.scala |   7 -
 .../apache/spark/sql/jdbc/MySQLDialect.scala  |  15 ++
 .../apache/spark/sql/jdbc/JDBCV2Suite.scala   |   6 +-
 12 files changed, 291 insertions(+), 14 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
index 9a78244f53266..9b4916ddd36b6 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
@@ -80,6 +80,12 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(10), salary DECIMAL(20, 2), bonus DOUBLE)")
       .executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
index 72edfc9f1bf1c..a42caeafe6fee 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
@@ -38,6 +38,17 @@ abstract class DockerJDBCIntegrationV2Suite extends DockerJDBCIntegrationSuite {
       .executeUpdate()
     connection.prepareStatement("INSERT INTO employee VALUES (6, 'jen', 12000, 1200)")
       .executeUpdate()
+
+    connection.prepareStatement(
+      s"""
+         |INSERT INTO pattern_testing_table VALUES
+         |('special_character_quote\\'_present'),
+         |('special_character_quote_not_present'),
+         |('special_character_percent%_present'),
+         |('special_character_percent_not_present'),
+         |('special_character_underscore_present'),
+         |('special_character_underscorenot_present')
+             """.stripMargin).executeUpdate()
   }
 
   def tablePreparation(connection: Connection): Unit
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index 0dc3a39f4db5d..57a2667557fa2 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -86,6 +86,12 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary NUMERIC(20, 2), bonus FLOAT)")
       .executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def notSupportsTableComment: Boolean = true
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
index f6f264804e7db..faf9f14b260d4 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
@@ -88,6 +88,12 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary DECIMAL(20, 2)," +
         " bonus DOUBLE)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
index 33ce55b1c6c9f..83863b840f608 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
@@ -106,6 +106,12 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
     connection.prepareStatement(
       "CREATE TABLE employee (dept NUMBER(32), name VARCHAR2(32), salary NUMBER(20, 2)," +
         " bonus BINARY_DOUBLE)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index 1f09c2fd3fc59..24ad97af64498 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -59,6 +59,12 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(32), salary NUMERIC(20, 2)," +
         " bonus double precision)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
index b8671455ac6f8..4cf8f6dbda2bd 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
@@ -358,6 +358,235 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
     assert(scan.schema.names.sameElements(Seq(col)))
   }
 
+  test("SPARK-48172: Test CONTAINS") {
+    val df1 = spark.sql(
+      s"""
+         |SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE contains(pattern_testing_col, 'quote\\'')""".stripMargin)
+    df1.explain("formatted")
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE contains(pattern_testing_col, 'percent%')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE contains(pattern_testing_col, 'underscore_')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE contains(pattern_testing_col, 'character')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 1)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test ENDSWITH") {
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE endswith(pattern_testing_col, 'quote\\'_present')""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE endswith(pattern_testing_col, 'percent%_present')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE endswith(pattern_testing_col, 'underscore_present')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE endswith(pattern_testing_col, 'present')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 1)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test STARTSWITH") {
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE startswith(pattern_testing_col, 'special_character_quote\\'')""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE startswith(pattern_testing_col, 'special_character_percent%')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE startswith(pattern_testing_col, 'special_character_underscore_')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE startswith(pattern_testing_col, 'special_character')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 1)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test LIKE") {
+    // this one should map to contains
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE '%quote\\'%'""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE '%percent\\%%'""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE '%underscore\\_%'""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE '%character%'
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 1)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+
+    // map to startsWith
+    // this one should map to contains
+    val df5 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE 'special_character_quote\\'%'""".stripMargin)
+    val rows5 = df5.collect()
+    assert(rows5.length === 1)
+    assert(rows5(0).getString(0) === "special_character_quote'_present")
+
+    val df6 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE 'special_character_percent\\%%'""".stripMargin)
+    val rows6 = df6.collect()
+    assert(rows6.length === 1)
+    assert(rows6(0).getString(0) === "special_character_percent%_present")
+
+    val df7 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE 'special_character_underscore\\_%'""".stripMargin)
+    val rows7 = df7.collect()
+    assert(rows7.length === 1)
+    assert(rows7(0).getString(0) === "special_character_underscore_present")
+
+    val df8 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE 'special_character%'
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows8 = df8.collect()
+    assert(rows8.length === 1)
+    assert(rows8(0).getString(0) === "special_character_percent%_present")
+    assert(rows8(1).getString(0) === "special_character_percent_not_present")
+    assert(rows8(2).getString(0) === "special_character_quote'_present")
+    assert(rows8(3).getString(0) === "special_character_quote_not_present")
+    assert(rows8(4).getString(0) === "special_character_underscore_present")
+    assert(rows8(5).getString(0) === "special_character_underscorenot_present")
+    // map to endsWith
+    // this one should map to contains
+    val df9 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE '%quote\\'_present'""".stripMargin)
+    val rows9 = df9.collect()
+    assert(rows9.length === 1)
+    assert(rows9(0).getString(0) === "special_character_quote'_present")
+
+    val df10 = spark.sql(
+      s"""SELECT * FROM $catalogName.pattern_testing_table
+         |WHERE pattern_testing_col LIKE '%percent\\%_present'""".stripMargin)
+    val rows10 = df10.collect()
+    assert(rows10.length === 1)
+    assert(rows10(0).getString(0) === "special_character_percent%_present")
+
+    val df11 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE '%underscore\\_present'""".stripMargin)
+    val rows11 = df11.collect()
+    assert(rows11.length === 1)
+    assert(rows11(0).getString(0) === "special_character_underscore_present")
+
+    val df12 = spark.
+      sql(
+        s"""SELECT * FROM $catalogName.pattern_testing_table
+           |WHERE pattern_testing_col LIKE '%present' ORDER BY pattern_testing_col""".stripMargin)
+    val rows12 = df12.collect()
+    assert(rows12.length === 1)
+    assert(rows12(0).getString(0) === "special_character_percent%_present")
+    assert(rows12(1).getString(0) === "special_character_percent_not_present")
+    assert(rows12(2).getString(0) === "special_character_quote'_present")
+    assert(rows12(3).getString(0) === "special_character_quote_not_present")
+    assert(rows12(4).getString(0) === "special_character_underscore_present")
+    assert(rows12(5).getString(0) === "special_character_underscorenot_present")
+  }
+
   test("SPARK-37038: Test TABLESAMPLE") {
     if (supportsTableSample) {
       withTable(s"$catalogName.new_table") {
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
index dcb3c706946c5..e170951bfa284 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
@@ -66,9 +66,6 @@ protected String escapeSpecialCharsForLikePattern(String str) {
         case '%':
           builder.append("\\%");
           break;
-        case '\'':
-          builder.append("\\\'");
-          break;
         default:
           builder.append(c);
       }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
index fbd2520e2a774..7f536bdb712a4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connector.expressions
 
+import org.apache.commons.lang3.StringUtils
+
 import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
@@ -350,7 +352,7 @@ private[sql] object HoursTransform {
 private[sql] final case class LiteralValue[T](value: T, dataType: DataType) extends Literal[T] {
   override def toString: String = {
     if (dataType.isInstanceOf[StringType]) {
-      s"'$value'"
+      s"'${StringUtils.replace(s"$value", "'", "''")}'"
     } else {
       s"$value"
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
index 3f56eb035f5c3..336220922b5e0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
@@ -254,13 +254,6 @@ private[sql] object H2Dialect extends JdbcDialect {
   }
 
   class H2SQLBuilder extends JDBCSQLBuilder {
-    override def escapeSpecialCharsForLikePattern(str: String): String = {
-      str.map {
-        case '_' => "\\_"
-        case '%' => "\\%"
-        case c => c.toString
-      }.mkString
-    }
 
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index ef2be1c9c5c6c..5d9ff94838f15 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -65,6 +65,21 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
       }
     }
 
+    override def visitStartsWith(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
+    }
+
+    override def visitEndsWith(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}' ESCAPE '\\\\'"
+    }
+
+    override def visitContains(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
+    }
+
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
       if (isDistinct && distinctUnsupportedAggregateFunctions.contains(funcName)) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
index 51a15881088b5..5d2108d2b8fce 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
@@ -1278,7 +1278,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df5 = spark.table("h2.test.address").filter($"email".startsWith("abc_'%"))
     checkFiltersRemoved(df5)
     checkPushedInfo(df5,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_\'\%%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_''\%%' ESCAPE '\']")
     checkAnswer(df5, Seq(Row("abc_'%def@gmail.com")))
 
     val df6 = spark.table("h2.test.address").filter($"email".endsWith("_def@gmail.com"))
@@ -1309,7 +1309,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df10 = spark.table("h2.test.address").filter($"email".endsWith("_'%def@gmail.com"))
     checkFiltersRemoved(df10)
     checkPushedInfo(df10,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_\'\%def@gmail.com' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_''\%def@gmail.com' ESCAPE '\']")
     checkAnswer(df10, Seq(Row("abc_'%def@gmail.com")))
 
     val df11 = spark.table("h2.test.address").filter($"email".contains("c_d"))
@@ -1337,7 +1337,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df15 = spark.table("h2.test.address").filter($"email".contains("c_'%d"))
     checkFiltersRemoved(df15)
     checkPushedInfo(df15,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_\'\%d%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_''\%d%' ESCAPE '\']")
     checkAnswer(df15, Seq(Row("abc_'%def@gmail.com")))
   }
 

From 74724d61c3d04925da6faa5d49643619aa14f206 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 15 May 2024 10:09:09 +0800
Subject: [PATCH 713/986] Revert "[SPARK-48172][SQL] Fix escaping issues in
 JDBC Dialects"

This reverts commit f37fa436cd4e0ef9f486a60f9af91a3ce0195df9.
---
 .../sql/jdbc/v2/DB2IntegrationSuite.scala     |   6 -
 .../v2/DockerJDBCIntegrationV2Suite.scala     |  11 -
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala |   6 -
 .../sql/jdbc/v2/MySQLIntegrationSuite.scala   |   6 -
 .../sql/jdbc/v2/OracleIntegrationSuite.scala  |   6 -
 .../jdbc/v2/PostgresIntegrationSuite.scala    |   6 -
 .../apache/spark/sql/jdbc/v2/V2JDBCTest.scala | 229 ------------------
 .../util/V2ExpressionSQLBuilder.java          |   3 +
 .../connector/expressions/expressions.scala   |   4 +-
 .../org/apache/spark/sql/jdbc/H2Dialect.scala |   7 +
 .../apache/spark/sql/jdbc/MySQLDialect.scala  |  15 --
 .../apache/spark/sql/jdbc/JDBCV2Suite.scala   |   6 +-
 12 files changed, 14 insertions(+), 291 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
index 9b4916ddd36b6..9a78244f53266 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
@@ -80,12 +80,6 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(10), salary DECIMAL(20, 2), bonus DOUBLE)")
       .executeUpdate()
-    connection.prepareStatement(
-      s"""CREATE TABLE pattern_testing_table (
-         |pattern_testing_col LONGTEXT
-         |)
-                   """.stripMargin
-    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
index a42caeafe6fee..72edfc9f1bf1c 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
@@ -38,17 +38,6 @@ abstract class DockerJDBCIntegrationV2Suite extends DockerJDBCIntegrationSuite {
       .executeUpdate()
     connection.prepareStatement("INSERT INTO employee VALUES (6, 'jen', 12000, 1200)")
       .executeUpdate()
-
-    connection.prepareStatement(
-      s"""
-         |INSERT INTO pattern_testing_table VALUES
-         |('special_character_quote\\'_present'),
-         |('special_character_quote_not_present'),
-         |('special_character_percent%_present'),
-         |('special_character_percent_not_present'),
-         |('special_character_underscore_present'),
-         |('special_character_underscorenot_present')
-             """.stripMargin).executeUpdate()
   }
 
   def tablePreparation(connection: Connection): Unit
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index 57a2667557fa2..0dc3a39f4db5d 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -86,12 +86,6 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary NUMERIC(20, 2), bonus FLOAT)")
       .executeUpdate()
-    connection.prepareStatement(
-      s"""CREATE TABLE pattern_testing_table (
-         |pattern_testing_col LONGTEXT
-         |)
-                   """.stripMargin
-    ).executeUpdate()
   }
 
   override def notSupportsTableComment: Boolean = true
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
index faf9f14b260d4..f6f264804e7db 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
@@ -88,12 +88,6 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary DECIMAL(20, 2)," +
         " bonus DOUBLE)").executeUpdate()
-    connection.prepareStatement(
-      s"""CREATE TABLE pattern_testing_table (
-         |pattern_testing_col LONGTEXT
-         |)
-                   """.stripMargin
-    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
index 83863b840f608..33ce55b1c6c9f 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
@@ -106,12 +106,6 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
     connection.prepareStatement(
       "CREATE TABLE employee (dept NUMBER(32), name VARCHAR2(32), salary NUMBER(20, 2)," +
         " bonus BINARY_DOUBLE)").executeUpdate()
-    connection.prepareStatement(
-      s"""CREATE TABLE pattern_testing_table (
-         |pattern_testing_col LONGTEXT
-         |)
-                   """.stripMargin
-    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index 24ad97af64498..1f09c2fd3fc59 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -59,12 +59,6 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(32), salary NUMERIC(20, 2)," +
         " bonus double precision)").executeUpdate()
-    connection.prepareStatement(
-      s"""CREATE TABLE pattern_testing_table (
-         |pattern_testing_col LONGTEXT
-         |)
-                   """.stripMargin
-    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
index 4cf8f6dbda2bd..b8671455ac6f8 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
@@ -358,235 +358,6 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
     assert(scan.schema.names.sameElements(Seq(col)))
   }
 
-  test("SPARK-48172: Test CONTAINS") {
-    val df1 = spark.sql(
-      s"""
-         |SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE contains(pattern_testing_col, 'quote\\'')""".stripMargin)
-    df1.explain("formatted")
-    val rows1 = df1.collect()
-    assert(rows1.length === 1)
-    assert(rows1(0).getString(0) === "special_character_quote'_present")
-
-    val df2 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE contains(pattern_testing_col, 'percent%')""".stripMargin)
-    val rows2 = df2.collect()
-    assert(rows2.length === 1)
-    assert(rows2(0).getString(0) === "special_character_percent%_present")
-
-    val df3 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE contains(pattern_testing_col, 'underscore_')""".stripMargin)
-    val rows3 = df3.collect()
-    assert(rows3.length === 1)
-    assert(rows3(0).getString(0) === "special_character_underscore_present")
-
-    val df4 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE contains(pattern_testing_col, 'character')
-           |ORDER BY pattern_testing_col""".stripMargin)
-    val rows4 = df4.collect()
-    assert(rows4.length === 1)
-    assert(rows4(0).getString(0) === "special_character_percent%_present")
-    assert(rows4(1).getString(0) === "special_character_percent_not_present")
-    assert(rows4(2).getString(0) === "special_character_quote'_present")
-    assert(rows4(3).getString(0) === "special_character_quote_not_present")
-    assert(rows4(4).getString(0) === "special_character_underscore_present")
-    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
-  }
-
-  test("SPARK-48172: Test ENDSWITH") {
-    val df1 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE endswith(pattern_testing_col, 'quote\\'_present')""".stripMargin)
-    val rows1 = df1.collect()
-    assert(rows1.length === 1)
-    assert(rows1(0).getString(0) === "special_character_quote'_present")
-
-    val df2 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE endswith(pattern_testing_col, 'percent%_present')""".stripMargin)
-    val rows2 = df2.collect()
-    assert(rows2.length === 1)
-    assert(rows2(0).getString(0) === "special_character_percent%_present")
-
-    val df3 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE endswith(pattern_testing_col, 'underscore_present')""".stripMargin)
-    val rows3 = df3.collect()
-    assert(rows3.length === 1)
-    assert(rows3(0).getString(0) === "special_character_underscore_present")
-
-    val df4 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE endswith(pattern_testing_col, 'present')
-           |ORDER BY pattern_testing_col""".stripMargin)
-    val rows4 = df4.collect()
-    assert(rows4.length === 1)
-    assert(rows4(0).getString(0) === "special_character_percent%_present")
-    assert(rows4(1).getString(0) === "special_character_percent_not_present")
-    assert(rows4(2).getString(0) === "special_character_quote'_present")
-    assert(rows4(3).getString(0) === "special_character_quote_not_present")
-    assert(rows4(4).getString(0) === "special_character_underscore_present")
-    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
-  }
-
-  test("SPARK-48172: Test STARTSWITH") {
-    val df1 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE startswith(pattern_testing_col, 'special_character_quote\\'')""".stripMargin)
-    val rows1 = df1.collect()
-    assert(rows1.length === 1)
-    assert(rows1(0).getString(0) === "special_character_quote'_present")
-
-    val df2 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE startswith(pattern_testing_col, 'special_character_percent%')""".stripMargin)
-    val rows2 = df2.collect()
-    assert(rows2.length === 1)
-    assert(rows2(0).getString(0) === "special_character_percent%_present")
-
-    val df3 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE startswith(pattern_testing_col, 'special_character_underscore_')""".stripMargin)
-    val rows3 = df3.collect()
-    assert(rows3.length === 1)
-    assert(rows3(0).getString(0) === "special_character_underscore_present")
-
-    val df4 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE startswith(pattern_testing_col, 'special_character')
-           |ORDER BY pattern_testing_col""".stripMargin)
-    val rows4 = df4.collect()
-    assert(rows4.length === 1)
-    assert(rows4(0).getString(0) === "special_character_percent%_present")
-    assert(rows4(1).getString(0) === "special_character_percent_not_present")
-    assert(rows4(2).getString(0) === "special_character_quote'_present")
-    assert(rows4(3).getString(0) === "special_character_quote_not_present")
-    assert(rows4(4).getString(0) === "special_character_underscore_present")
-    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
-  }
-
-  test("SPARK-48172: Test LIKE") {
-    // this one should map to contains
-    val df1 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE '%quote\\'%'""".stripMargin)
-    val rows1 = df1.collect()
-    assert(rows1.length === 1)
-    assert(rows1(0).getString(0) === "special_character_quote'_present")
-
-    val df2 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE '%percent\\%%'""".stripMargin)
-    val rows2 = df2.collect()
-    assert(rows2.length === 1)
-    assert(rows2(0).getString(0) === "special_character_percent%_present")
-
-    val df3 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE '%underscore\\_%'""".stripMargin)
-    val rows3 = df3.collect()
-    assert(rows3.length === 1)
-    assert(rows3(0).getString(0) === "special_character_underscore_present")
-
-    val df4 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE '%character%'
-           |ORDER BY pattern_testing_col""".stripMargin)
-    val rows4 = df4.collect()
-    assert(rows4.length === 1)
-    assert(rows4(0).getString(0) === "special_character_percent%_present")
-    assert(rows4(1).getString(0) === "special_character_percent_not_present")
-    assert(rows4(2).getString(0) === "special_character_quote'_present")
-    assert(rows4(3).getString(0) === "special_character_quote_not_present")
-    assert(rows4(4).getString(0) === "special_character_underscore_present")
-    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
-
-    // map to startsWith
-    // this one should map to contains
-    val df5 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE 'special_character_quote\\'%'""".stripMargin)
-    val rows5 = df5.collect()
-    assert(rows5.length === 1)
-    assert(rows5(0).getString(0) === "special_character_quote'_present")
-
-    val df6 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE 'special_character_percent\\%%'""".stripMargin)
-    val rows6 = df6.collect()
-    assert(rows6.length === 1)
-    assert(rows6(0).getString(0) === "special_character_percent%_present")
-
-    val df7 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE 'special_character_underscore\\_%'""".stripMargin)
-    val rows7 = df7.collect()
-    assert(rows7.length === 1)
-    assert(rows7(0).getString(0) === "special_character_underscore_present")
-
-    val df8 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE 'special_character%'
-           |ORDER BY pattern_testing_col""".stripMargin)
-    val rows8 = df8.collect()
-    assert(rows8.length === 1)
-    assert(rows8(0).getString(0) === "special_character_percent%_present")
-    assert(rows8(1).getString(0) === "special_character_percent_not_present")
-    assert(rows8(2).getString(0) === "special_character_quote'_present")
-    assert(rows8(3).getString(0) === "special_character_quote_not_present")
-    assert(rows8(4).getString(0) === "special_character_underscore_present")
-    assert(rows8(5).getString(0) === "special_character_underscorenot_present")
-    // map to endsWith
-    // this one should map to contains
-    val df9 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE '%quote\\'_present'""".stripMargin)
-    val rows9 = df9.collect()
-    assert(rows9.length === 1)
-    assert(rows9(0).getString(0) === "special_character_quote'_present")
-
-    val df10 = spark.sql(
-      s"""SELECT * FROM $catalogName.pattern_testing_table
-         |WHERE pattern_testing_col LIKE '%percent\\%_present'""".stripMargin)
-    val rows10 = df10.collect()
-    assert(rows10.length === 1)
-    assert(rows10(0).getString(0) === "special_character_percent%_present")
-
-    val df11 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE '%underscore\\_present'""".stripMargin)
-    val rows11 = df11.collect()
-    assert(rows11.length === 1)
-    assert(rows11(0).getString(0) === "special_character_underscore_present")
-
-    val df12 = spark.
-      sql(
-        s"""SELECT * FROM $catalogName.pattern_testing_table
-           |WHERE pattern_testing_col LIKE '%present' ORDER BY pattern_testing_col""".stripMargin)
-    val rows12 = df12.collect()
-    assert(rows12.length === 1)
-    assert(rows12(0).getString(0) === "special_character_percent%_present")
-    assert(rows12(1).getString(0) === "special_character_percent_not_present")
-    assert(rows12(2).getString(0) === "special_character_quote'_present")
-    assert(rows12(3).getString(0) === "special_character_quote_not_present")
-    assert(rows12(4).getString(0) === "special_character_underscore_present")
-    assert(rows12(5).getString(0) === "special_character_underscorenot_present")
-  }
-
   test("SPARK-37038: Test TABLESAMPLE") {
     if (supportsTableSample) {
       withTable(s"$catalogName.new_table") {
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
index e170951bfa284..dcb3c706946c5 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
@@ -66,6 +66,9 @@ protected String escapeSpecialCharsForLikePattern(String str) {
         case '%':
           builder.append("\\%");
           break;
+        case '\'':
+          builder.append("\\\'");
+          break;
         default:
           builder.append(c);
       }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
index 7f536bdb712a4..fbd2520e2a774 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
@@ -17,8 +17,6 @@
 
 package org.apache.spark.sql.connector.expressions
 
-import org.apache.commons.lang3.StringUtils
-
 import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
@@ -352,7 +350,7 @@ private[sql] object HoursTransform {
 private[sql] final case class LiteralValue[T](value: T, dataType: DataType) extends Literal[T] {
   override def toString: String = {
     if (dataType.isInstanceOf[StringType]) {
-      s"'${StringUtils.replace(s"$value", "'", "''")}'"
+      s"'$value'"
     } else {
       s"$value"
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
index 336220922b5e0..3f56eb035f5c3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
@@ -254,6 +254,13 @@ private[sql] object H2Dialect extends JdbcDialect {
   }
 
   class H2SQLBuilder extends JDBCSQLBuilder {
+    override def escapeSpecialCharsForLikePattern(str: String): String = {
+      str.map {
+        case '_' => "\\_"
+        case '%' => "\\%"
+        case c => c.toString
+      }.mkString
+    }
 
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index 5d9ff94838f15..ef2be1c9c5c6c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -65,21 +65,6 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
       }
     }
 
-    override def visitStartsWith(l: String, r: String): String = {
-      val value = r.substring(1, r.length() - 1)
-      s"$l LIKE '${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
-    }
-
-    override def visitEndsWith(l: String, r: String): String = {
-      val value = r.substring(1, r.length() - 1)
-      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}' ESCAPE '\\\\'"
-    }
-
-    override def visitContains(l: String, r: String): String = {
-      val value = r.substring(1, r.length() - 1)
-      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
-    }
-
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
       if (isDistinct && distinctUnsupportedAggregateFunctions.contains(funcName)) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
index 5d2108d2b8fce..51a15881088b5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
@@ -1278,7 +1278,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df5 = spark.table("h2.test.address").filter($"email".startsWith("abc_'%"))
     checkFiltersRemoved(df5)
     checkPushedInfo(df5,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_''\%%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_\'\%%' ESCAPE '\']")
     checkAnswer(df5, Seq(Row("abc_'%def@gmail.com")))
 
     val df6 = spark.table("h2.test.address").filter($"email".endsWith("_def@gmail.com"))
@@ -1309,7 +1309,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df10 = spark.table("h2.test.address").filter($"email".endsWith("_'%def@gmail.com"))
     checkFiltersRemoved(df10)
     checkPushedInfo(df10,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_''\%def@gmail.com' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_\'\%def@gmail.com' ESCAPE '\']")
     checkAnswer(df10, Seq(Row("abc_'%def@gmail.com")))
 
     val df11 = spark.table("h2.test.address").filter($"email".contains("c_d"))
@@ -1337,7 +1337,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df15 = spark.table("h2.test.address").filter($"email".contains("c_'%d"))
     checkFiltersRemoved(df15)
     checkPushedInfo(df15,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_''\%d%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_\'\%d%' ESCAPE '\']")
     checkAnswer(df15, Seq(Row("abc_'%def@gmail.com")))
   }
 

From 07e08c00b32f66442bf1b8d3d6eacba7e88e9db6 Mon Sep 17 00:00:00 2001
From: Huanli Wang <huanli.wang@databricks.com>
Date: Wed, 15 May 2024 14:52:04 +0900
Subject: [PATCH 714/986] [SPARK-48105][SS][3.5] Fix the race condition between
 state store unloading and snapshotting

* When we close the hdfs state store, we should only remove the entry from `loadedMaps` rather than doing the active data cleanup. JVM GC should be able to help us GC those objects.
* we should wait for the maintenance thread to stop before unloading the providers.

There are two race conditions between state store snapshotting and state store unloading which could result in query failure and potential data corruption.

Case 1:
1. the maintenance thread pool encounters some issues and call the [stopMaintenanceTask,](https://github.com/apache/spark/blob/d9d79a54a3cd487380039c88ebe9fa708e0dcf23/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L774) this function further calls [threadPool.stop.](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L587) However, this function doesn't wait for the stop operation to be completed and move to do the state store [unload and clear.](https://github.com/apache/spark/blob/d9d79a54a3cd487380039c88ebe9fa708e0dcf23/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L775-L778)
2. the provider unload will [close the state store](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L719-L721) which [clear the values of loadedMaps](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala#L353-L355) for HDFS backed state store.
3. if the not-yet-stop maintenance thread is still running and trying to do the snapshot, but the data in the underlying `HDFSBackedStateStoreMap` has been removed. if this snapshot process completes successfully, then we will write corrupted data and the following batches will consume this corrupted data.

Case 2:

1. In executor_1, the maintenance thread is going to do the snapshot for state_store_1, it retrieves the `HDFSBackedStateStoreMap` object from the loadedMaps, after this, the maintenance thread [releases the lock of the loadedMaps](https://github.com/apache/spark/blob/c6696cdcd611a682ebf5b7a183e2970ecea3b58c/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala#L750-L751).
2. state_store_1 is loaded in another executor, e.g. executor_2.
3. another state store, state_store_2, is loaded on executor_1 and [reportActiveStoreInstance](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L854-L871) to driver.
4. executor_1 does the [unload](https://github.com/apache/spark/blob/c6696cdcd611a682ebf5b7a183e2970ecea3b58c/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/StateStore.scala#L713) for those no longer active state store which clears the data entries in the `HDFSBackedStateStoreMap`
5. the snapshotting thread is terminated and uploads the incomplete snapshot to cloud because the [iterator doesn't have next element](https://github.com/apache/spark/blob/c6696cdcd611a682ebf5b7a183e2970ecea3b58c/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala#L634) after doing the clear.
6. future batches are consuming the corrupted data.

No

```
[info] Run completed in 2 minutes, 55 seconds.
[info] Total number of tests run: 153
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 153, failed 0, canceled 0, ignored 0, pending 0
[info] All tests passed.
[success] Total time: 271 s (04:31), completed May 2, 2024, 6:26:33 PM
```
before this change

```
[info] - state store unload/close happens during the maintenance *** FAILED *** (648 milliseconds)
[info]   Vector("a1", "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19", "a2", "a20", "a3", "a4", "a5", "a6", "a7", "a8", "a9") did not equal ArrayBuffer("a8") (StateStoreSuite.scala:414)
[info]   Analysis:
[info]   Vector1(0: "a1" -> "a8", 1: "a10" -> , 2: "a11" -> , 3: "a12" -> , 4: "a13" -> , 5: "a14" -> , 6: "a15" -> , 7: "a16" -> , 8: "a17" -> , 9: "a18" -> , 10: "a19" -> , 11: "a2" -> , 12: "a20" -> , 13: "a3" -> , 14: "a4" -> , 15: "a5" -> , 16: "a6" -> , 17: "a7" -> , 18: "a8" -> , 19: "a9" -> )
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.$anonfun$new$39(StateStoreSuite.scala:414)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuiteBase.tryWithProviderResource(StateStoreSuite.scala:1663)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.$anonfun$new$38(StateStoreSuite.scala:394)
18:32:09.694 WARN org.apache.spark.sql.execution.streaming.state.StateStoreSuite:

===== POSSIBLE THREAD LEAK IN SUITE o.a.s.sql.execution.streaming.state.StateStoreSuite, threads: ForkJoinPool.commonPool-worker-1 (daemon=true) =====
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.org$scalatest$BeforeAndAfter$$super$runTest(StateStoreSuite.scala:90)
[info]   at org.scalatest.BeforeAndAfter.runTest(BeforeAndAfter.scala:213)
[info]   at org.scalatest.BeforeAndAfter.runTest$(BeforeAndAfter.scala:203)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.runTest(StateStoreSuite.scala:90)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:334)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Suite.run(Suite.scala:1114)
[info]   at org.scalatest.Suite.run$(Suite.scala:1096)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.org$scalatest$BeforeAndAfter$$super$run(StateStoreSuite.scala:90)
[info]   at org.scalatest.BeforeAndAfter.run(BeforeAndAfter.scala:273)
[info]   at org.scalatest.BeforeAndAfter.run$(BeforeAndAfter.scala:271)
[info]   at org.apache.spark.sql.execution.streaming.state.StateStoreSuite.run(StateStoreSuite.scala:90)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:414)
[info]   at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
[info]   at java.base/java.lang.Thread.run(Thread.java:840)
[info] Run completed in 2 seconds, 4 milliseconds.
[info] Total number of tests run: 1
[info] Suites: completed 1, aborted 0
[info] Tests: succeeded 0, failed 1, canceled 0, ignored 0, pending 0
[info] *** 1 TEST FAILED ***

```

No

Closes #46351 from huanliwang-db/race.

Authored-by: Huanli Wang <huanli.wangdatabricks.com>

Closes #46415 from huanliwang-db/race-3.5.

Authored-by: Huanli Wang <huanli.wang@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../state/HDFSBackedStateStoreMap.scala       |  8 ----
 .../state/HDFSBackedStateStoreProvider.scala  |  5 ++-
 .../streaming/state/StateStoreSuite.scala     | 38 +++++++++++++++++++
 3 files changed, 42 insertions(+), 9 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreMap.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreMap.scala
index 9a0b6a733d051..914d116e27fc0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreMap.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreMap.scala
@@ -31,7 +31,6 @@ trait HDFSBackedStateStoreMap {
   def remove(key: UnsafeRow): UnsafeRow
   def iterator(): Iterator[UnsafeRowPair]
   def prefixScan(prefixKey: UnsafeRow): Iterator[UnsafeRowPair]
-  def clear(): Unit
 }
 
 object HDFSBackedStateStoreMap {
@@ -79,8 +78,6 @@ class NoPrefixHDFSBackedStateStoreMap extends HDFSBackedStateStoreMap {
   override def prefixScan(prefixKey: UnsafeRow): Iterator[UnsafeRowPair] = {
     throw new UnsupportedOperationException("Prefix scan is not supported!")
   }
-
-  override def clear(): Unit = map.clear()
 }
 
 class PrefixScannableHDFSBackedStateStoreMap(
@@ -169,9 +166,4 @@ class PrefixScannableHDFSBackedStateStoreMap(
       .iterator
       .map { key => unsafeRowPair.withRows(key, map.get(key)) }
   }
-
-  override def clear(): Unit = {
-    map.clear()
-    prefixKeyToKeysMap.clear()
-  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala
index fbf4b357a35f9..85de3e7ff9425 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala
@@ -262,7 +262,10 @@ private[sql] class HDFSBackedStateStoreProvider extends StateStoreProvider with
   }
 
   override def close(): Unit = {
-    loadedMaps.values.asScala.foreach(_.clear())
+    // Clearing the map resets the TreeMap.root to null, and therefore entries inside the
+    // `loadedMaps` will be de-referenced and GCed automatically when their reference
+    // counts become 0.
+    synchronized { loadedMaps.clear() }
   }
 
   override def supportedCustomMetrics: Seq[StateStoreCustomMetric] = {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/StateStoreSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/StateStoreSuite.scala
index 02aa12b325ff7..512a095250ae3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/StateStoreSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/StateStoreSuite.scala
@@ -272,6 +272,44 @@ class StateStoreSuite extends StateStoreSuiteBase[HDFSBackedStateStoreProvider]
     }
   }
 
+  test("SPARK-48105: state store unload/close happens during the maintenance") {
+    tryWithProviderResource(
+      newStoreProvider(opId = Random.nextInt(), partition = 0, minDeltasForSnapshot = 1)) {
+      provider =>
+        val store = provider.getStore(0).asInstanceOf[provider.HDFSBackedStateStore]
+        val values = (1 to 20)
+        val keys = values.map(i => ("a" + i))
+        keys.zip(values).map{case (k, v) => put(store, k, 0, v)}
+        // commit state store with 20 keys.
+        store.commit()
+        // get the state store iterator: mimic the case which the iterator is hold in the
+        // maintenance thread.
+        val storeIterator = store.iterator()
+
+        // the store iterator should still be valid as the maintenance thread may have already
+        // hold it and is doing snapshotting even though the state store is unloaded.
+        val outputKeys = new mutable.ArrayBuffer[String]
+        val outputValues = new mutable.ArrayBuffer[Int]
+        var cnt = 0
+        while (storeIterator.hasNext) {
+          if (cnt == 10) {
+            // Mimic the case where the provider is loaded in another executor in the middle of
+            // iteration. When this happens, the provider will be unloaded and closed in
+            // current executor.
+            provider.close()
+          }
+          val unsafeRowPair = storeIterator.next()
+          val (key, _) = keyRowToData(unsafeRowPair.key)
+          outputKeys.append(key)
+          outputValues.append(valueRowToData(unsafeRowPair.value))
+
+          cnt = cnt + 1
+        }
+        assert(keys.sorted === outputKeys.sorted)
+        assert(values.sorted === outputValues.sorted)
+    }
+  }
+
   test("maintenance") {
     val conf = new SparkConf()
       .setMaster("local")

From 210ed2521d3dc1202cd1ba855ed5e729a5d940d0 Mon Sep 17 00:00:00 2001
From: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Date: Wed, 15 May 2024 22:15:52 +0800
Subject: [PATCH 715/986] [SPARK-48172][SQL] Fix escaping issues in
 JDBCDialects

This PR is a fix of https://github.com/apache/spark/pull/46437. The previous PR was reverted as `LONGTEXT` is not supported by all dialects.

Special case escaping for MySQL and fix issues with redundant escaping for ' character.
New changes introduced in the fix include change `LONGTEXT` -> `VARCHAR(50)`, as well as fix for table naming in the tests.

When pushing down startsWith, endsWith and contains they are converted to LIKE. This requires addition of escape characters for these expressions. Unfortunately, MySQL uses ESCAPE '\' syntax instead of ESCAPE '' which would cause errors when trying to push down.

Yes

Tests for each existing dialect.

No.

Closes #46588 from mihailom-db/SPARK-48172.

Authored-by: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9e386b472981979e368a5921c58da5bfefe3acfe)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/jdbc/v2/DB2IntegrationSuite.scala     |   6 +
 .../v2/DockerJDBCIntegrationV2Suite.scala     |  11 +
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala |   6 +
 .../sql/jdbc/v2/MySQLIntegrationSuite.scala   |   6 +
 .../sql/jdbc/v2/OracleIntegrationSuite.scala  |   6 +
 .../jdbc/v2/PostgresIntegrationSuite.scala    |   6 +
 .../apache/spark/sql/jdbc/v2/V2JDBCTest.scala | 229 ++++++++++++++++++
 .../util/V2ExpressionSQLBuilder.java          |   3 -
 .../connector/expressions/expressions.scala   |   4 +-
 .../org/apache/spark/sql/jdbc/H2Dialect.scala |   7 -
 .../apache/spark/sql/jdbc/MySQLDialect.scala  |  15 ++
 .../apache/spark/sql/jdbc/JDBCV2Suite.scala   |   6 +-
 12 files changed, 291 insertions(+), 14 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
index 9a78244f53266..5bcc8afefb1dd 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DB2IntegrationSuite.scala
@@ -80,6 +80,12 @@ class DB2IntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(10), salary DECIMAL(20, 2), bonus DOUBLE)")
       .executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col VARCHAR(50)
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
index 72edfc9f1bf1c..5f4f0b7a3afbc 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
@@ -38,6 +38,17 @@ abstract class DockerJDBCIntegrationV2Suite extends DockerJDBCIntegrationSuite {
       .executeUpdate()
     connection.prepareStatement("INSERT INTO employee VALUES (6, 'jen', 12000, 1200)")
       .executeUpdate()
+
+    connection.prepareStatement(
+      s"""
+         |INSERT INTO pattern_testing_table VALUES
+         |('special_character_quote''_present'),
+         |('special_character_quote_not_present'),
+         |('special_character_percent%_present'),
+         |('special_character_percent_not_present'),
+         |('special_character_underscore_present'),
+         |('special_character_underscorenot_present')
+             """.stripMargin).executeUpdate()
   }
 
   def tablePreparation(connection: Connection): Unit
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index 0dc3a39f4db5d..0bb2ea8249b39 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -86,6 +86,12 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary NUMERIC(20, 2), bonus FLOAT)")
       .executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col VARCHAR(50)
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def notSupportsTableComment: Boolean = true
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
index f6f264804e7db..faf9f14b260d4 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MySQLIntegrationSuite.scala
@@ -88,6 +88,12 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest
     connection.prepareStatement(
       "CREATE TABLE employee (dept INT, name VARCHAR(32), salary DECIMAL(20, 2)," +
         " bonus DOUBLE)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col LONGTEXT
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
index 33ce55b1c6c9f..002091b6a0d80 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala
@@ -106,6 +106,12 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTes
     connection.prepareStatement(
       "CREATE TABLE employee (dept NUMBER(32), name VARCHAR2(32), salary NUMBER(20, 2)," +
         " bonus BINARY_DOUBLE)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col VARCHAR(50)
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index 1f09c2fd3fc59..7fef3ccd6b3f6 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -59,6 +59,12 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     connection.prepareStatement(
       "CREATE TABLE employee (dept INTEGER, name VARCHAR(32), salary NUMERIC(20, 2)," +
         " bonus double precision)").executeUpdate()
+    connection.prepareStatement(
+      s"""CREATE TABLE pattern_testing_table (
+         |pattern_testing_col VARCHAR(50)
+         |)
+                   """.stripMargin
+    ).executeUpdate()
   }
 
   override def testUpdateColumnType(tbl: String): Unit = {
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
index b8671455ac6f8..a0f337912c859 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
@@ -358,6 +358,235 @@ private[v2] trait V2JDBCTest extends SharedSparkSession with DockerIntegrationFu
     assert(scan.schema.names.sameElements(Seq(col)))
   }
 
+  test("SPARK-48172: Test CONTAINS") {
+    val df1 = spark.sql(
+      s"""
+         |SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE contains(pattern_testing_col, 'quote\\'')""".stripMargin)
+    df1.explain("formatted")
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE contains(pattern_testing_col, 'percent%')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE contains(pattern_testing_col, 'underscore_')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE contains(pattern_testing_col, 'character')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 6)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test ENDSWITH") {
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE endswith(pattern_testing_col, 'quote\\'_present')""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE endswith(pattern_testing_col, 'percent%_present')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE endswith(pattern_testing_col, 'underscore_present')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE endswith(pattern_testing_col, 'present')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 6)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test STARTSWITH") {
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE startswith(pattern_testing_col, 'special_character_quote\\'')""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE startswith(pattern_testing_col, 'special_character_percent%')""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE startswith(pattern_testing_col, 'special_character_underscore_')""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE startswith(pattern_testing_col, 'special_character')
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 6)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+  }
+
+  test("SPARK-48172: Test LIKE") {
+    // this one should map to contains
+    val df1 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE '%quote\\'%'""".stripMargin)
+    val rows1 = df1.collect()
+    assert(rows1.length === 1)
+    assert(rows1(0).getString(0) === "special_character_quote'_present")
+
+    val df2 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE '%percent\\%%'""".stripMargin)
+    val rows2 = df2.collect()
+    assert(rows2.length === 1)
+    assert(rows2(0).getString(0) === "special_character_percent%_present")
+
+    val df3 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE '%underscore\\_%'""".stripMargin)
+    val rows3 = df3.collect()
+    assert(rows3.length === 1)
+    assert(rows3(0).getString(0) === "special_character_underscore_present")
+
+    val df4 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE '%character%'
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows4 = df4.collect()
+    assert(rows4.length === 6)
+    assert(rows4(0).getString(0) === "special_character_percent%_present")
+    assert(rows4(1).getString(0) === "special_character_percent_not_present")
+    assert(rows4(2).getString(0) === "special_character_quote'_present")
+    assert(rows4(3).getString(0) === "special_character_quote_not_present")
+    assert(rows4(4).getString(0) === "special_character_underscore_present")
+    assert(rows4(5).getString(0) === "special_character_underscorenot_present")
+
+    // map to startsWith
+    // this one should map to contains
+    val df5 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE 'special_character_quote\\'%'""".stripMargin)
+    val rows5 = df5.collect()
+    assert(rows5.length === 1)
+    assert(rows5(0).getString(0) === "special_character_quote'_present")
+
+    val df6 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE 'special_character_percent\\%%'""".stripMargin)
+    val rows6 = df6.collect()
+    assert(rows6.length === 1)
+    assert(rows6(0).getString(0) === "special_character_percent%_present")
+
+    val df7 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE 'special_character_underscore\\_%'""".stripMargin)
+    val rows7 = df7.collect()
+    assert(rows7.length === 1)
+    assert(rows7(0).getString(0) === "special_character_underscore_present")
+
+    val df8 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE 'special_character%'
+           |ORDER BY pattern_testing_col""".stripMargin)
+    val rows8 = df8.collect()
+    assert(rows8.length === 6)
+    assert(rows8(0).getString(0) === "special_character_percent%_present")
+    assert(rows8(1).getString(0) === "special_character_percent_not_present")
+    assert(rows8(2).getString(0) === "special_character_quote'_present")
+    assert(rows8(3).getString(0) === "special_character_quote_not_present")
+    assert(rows8(4).getString(0) === "special_character_underscore_present")
+    assert(rows8(5).getString(0) === "special_character_underscorenot_present")
+    // map to endsWith
+    // this one should map to contains
+    val df9 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE '%quote\\'_present'""".stripMargin)
+    val rows9 = df9.collect()
+    assert(rows9.length === 1)
+    assert(rows9(0).getString(0) === "special_character_quote'_present")
+
+    val df10 = spark.sql(
+      s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+         |WHERE pattern_testing_col LIKE '%percent\\%_present'""".stripMargin)
+    val rows10 = df10.collect()
+    assert(rows10.length === 1)
+    assert(rows10(0).getString(0) === "special_character_percent%_present")
+
+    val df11 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE '%underscore\\_present'""".stripMargin)
+    val rows11 = df11.collect()
+    assert(rows11.length === 1)
+    assert(rows11(0).getString(0) === "special_character_underscore_present")
+
+    val df12 = spark.
+      sql(
+        s"""SELECT * FROM $catalogAndNamespace.${caseConvert("pattern_testing_table")}
+           |WHERE pattern_testing_col LIKE '%present' ORDER BY pattern_testing_col""".stripMargin)
+    val rows12 = df12.collect()
+    assert(rows12.length === 6)
+    assert(rows12(0).getString(0) === "special_character_percent%_present")
+    assert(rows12(1).getString(0) === "special_character_percent_not_present")
+    assert(rows12(2).getString(0) === "special_character_quote'_present")
+    assert(rows12(3).getString(0) === "special_character_quote_not_present")
+    assert(rows12(4).getString(0) === "special_character_underscore_present")
+    assert(rows12(5).getString(0) === "special_character_underscorenot_present")
+  }
+
   test("SPARK-37038: Test TABLESAMPLE") {
     if (supportsTableSample) {
       withTable(s"$catalogName.new_table") {
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
index dcb3c706946c5..e170951bfa284 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
@@ -66,9 +66,6 @@ protected String escapeSpecialCharsForLikePattern(String str) {
         case '%':
           builder.append("\\%");
           break;
-        case '\'':
-          builder.append("\\\'");
-          break;
         default:
           builder.append(c);
       }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
index fbd2520e2a774..7f536bdb712a4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/expressions/expressions.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.connector.expressions
 
+import org.apache.commons.lang3.StringUtils
+
 import org.apache.spark.SparkException
 import org.apache.spark.sql.catalyst
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
@@ -350,7 +352,7 @@ private[sql] object HoursTransform {
 private[sql] final case class LiteralValue[T](value: T, dataType: DataType) extends Literal[T] {
   override def toString: String = {
     if (dataType.isInstanceOf[StringType]) {
-      s"'$value'"
+      s"'${StringUtils.replace(s"$value", "'", "''")}'"
     } else {
       s"$value"
     }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
index 3f56eb035f5c3..336220922b5e0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
@@ -254,13 +254,6 @@ private[sql] object H2Dialect extends JdbcDialect {
   }
 
   class H2SQLBuilder extends JDBCSQLBuilder {
-    override def escapeSpecialCharsForLikePattern(str: String): String = {
-      str.map {
-        case '_' => "\\_"
-        case '%' => "\\%"
-        case c => c.toString
-      }.mkString
-    }
 
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index ef2be1c9c5c6c..5d9ff94838f15 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -65,6 +65,21 @@ private case object MySQLDialect extends JdbcDialect with SQLConfHelper {
       }
     }
 
+    override def visitStartsWith(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
+    }
+
+    override def visitEndsWith(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}' ESCAPE '\\\\'"
+    }
+
+    override def visitContains(l: String, r: String): String = {
+      val value = r.substring(1, r.length() - 1)
+      s"$l LIKE '%${escapeSpecialCharsForLikePattern(value)}%' ESCAPE '\\\\'"
+    }
+
     override def visitAggregateFunction(
         funcName: String, isDistinct: Boolean, inputs: Array[String]): String =
       if (isDistinct && distinctUnsupportedAggregateFunctions.contains(funcName)) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
index 51a15881088b5..5d2108d2b8fce 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
@@ -1278,7 +1278,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df5 = spark.table("h2.test.address").filter($"email".startsWith("abc_'%"))
     checkFiltersRemoved(df5)
     checkPushedInfo(df5,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_\'\%%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE 'abc\_''\%%' ESCAPE '\']")
     checkAnswer(df5, Seq(Row("abc_'%def@gmail.com")))
 
     val df6 = spark.table("h2.test.address").filter($"email".endsWith("_def@gmail.com"))
@@ -1309,7 +1309,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df10 = spark.table("h2.test.address").filter($"email".endsWith("_'%def@gmail.com"))
     checkFiltersRemoved(df10)
     checkPushedInfo(df10,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_\'\%def@gmail.com' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%\_''\%def@gmail.com' ESCAPE '\']")
     checkAnswer(df10, Seq(Row("abc_'%def@gmail.com")))
 
     val df11 = spark.table("h2.test.address").filter($"email".contains("c_d"))
@@ -1337,7 +1337,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
     val df15 = spark.table("h2.test.address").filter($"email".contains("c_'%d"))
     checkFiltersRemoved(df15)
     checkPushedInfo(df15,
-      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_\'\%d%' ESCAPE '\']")
+      raw"PushedFilters: [EMAIL IS NOT NULL, EMAIL LIKE '%c\_''\%d%' ESCAPE '\']")
     checkAnswer(df15, Seq(Row("abc_'%def@gmail.com")))
   }
 

From c1dd4a5df69340884f3f0f0c28ce916bf9e30159 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 16 May 2024 17:29:47 +0800
Subject: [PATCH 716/986] [SPARK-48297][SQL] Fix a regression TRANSFORM clause
 with char/varchar

### What changes were proposed in this pull request?

TRANSFORM with char/varchar has been accidentally invalidated since 3.1 with a scala.MatchError, this PR fixes it

### Why are the changes needed?

bugfix
### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46603 from yaooqinn/SPARK-48297.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 3bd845ea930a4709b7a2f0447b5f8af64c697239)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/sql/catalyst/parser/AstBuilder.scala |  4 +++-
 .../sql-tests/analyzer-results/transform.sql.out      | 11 +++++++++++
 .../src/test/resources/sql-tests/inputs/transform.sql |  6 +++++-
 .../resources/sql-tests/results/transform.sql.out     | 10 ++++++++++
 4 files changed, 29 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index 5d68aed9245a4..f38d41af445ea 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -787,7 +787,9 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
     // Create the attributes.
     val (attributes, schemaLess) = if (transformClause.colTypeList != null) {
       // Typed return columns.
-      (DataTypeUtils.toAttributes(createSchema(transformClause.colTypeList)), false)
+      val schema = createSchema(transformClause.colTypeList)
+      val replacedSchema = CharVarcharUtils.replaceCharVarcharWithStringInSchema(schema)
+      (DataTypeUtils.toAttributes(replacedSchema), false)
     } else if (transformClause.identifierSeq != null) {
       // Untyped return columns.
       val attrs = visitIdentifierSeq(transformClause.identifierSeq).map { name =>
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
index ceca433a1c915..aa595c551f792 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/transform.sql.out
@@ -1035,3 +1035,14 @@ ScriptTransformation cat, [a#x, b#x], ScriptInputOutputSchema(List(),List(),None
                         +- Project [a#x, b#x]
                            +- SubqueryAlias complex_trans
                               +- LocalRelation [a#x, b#x]
+
+
+-- !query
+SELECT TRANSFORM (a, b)
+  USING 'cat' AS (a CHAR(10), b VARCHAR(10))
+FROM VALUES('apache', 'spark') t(a, b)
+-- !query analysis
+ScriptTransformation cat, [a#x, b#x], ScriptInputOutputSchema(List(),List(),None,None,List(),List(),None,None,false)
++- Project [a#x, b#x]
+   +- SubqueryAlias t
+      +- LocalRelation [a#x, b#x]
diff --git a/sql/core/src/test/resources/sql-tests/inputs/transform.sql b/sql/core/src/test/resources/sql-tests/inputs/transform.sql
index 922a1d8177780..8570496d439e6 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/transform.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/transform.sql
@@ -415,4 +415,8 @@ FROM (
   ORDER BY a
 ) map_output
 SELECT TRANSFORM(a, b)
-  USING 'cat' AS (a, b);
\ No newline at end of file
+  USING 'cat' AS (a, b);
+
+SELECT TRANSFORM (a, b)
+  USING 'cat' AS (a CHAR(10), b VARCHAR(10))
+FROM VALUES('apache', 'spark') t(a, b);
diff --git a/sql/core/src/test/resources/sql-tests/results/transform.sql.out b/sql/core/src/test/resources/sql-tests/results/transform.sql.out
index ab726b93c07c8..7975392fd0147 100644
--- a/sql/core/src/test/resources/sql-tests/results/transform.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/transform.sql.out
@@ -837,3 +837,13 @@ struct<a:string,b:string>
 3	3
 3	3
 3	3
+
+
+-- !query
+SELECT TRANSFORM (a, b)
+  USING 'cat' AS (a CHAR(10), b VARCHAR(10))
+FROM VALUES('apache', 'spark') t(a, b)
+-- !query schema
+struct<a:string,b:string>
+-- !query output
+apache	spark

From 1a454287c01eb2ddda3e11afcc8c4885abc095b2 Mon Sep 17 00:00:00 2001
From: Michael Zhang <m.zhang@databricks.com>
Date: Fri, 17 May 2024 15:17:32 -0700
Subject: [PATCH 717/986] [SPARK-48294][SQL][3.5] Handle lowercase in
 nestedTypeMissingElementTypeError

### What changes were proposed in this pull request?

Backport of #46623.
Handle lowercase values inside of nestTypeMissingElementTypeError to prevent match errors.

### Why are the changes needed?

The previous match error was not user-friendly. Now it gives an actionable `INCOMPLETE_TYPE_DEFINITION` error.

### Does this PR introduce _any_ user-facing change?

N/A

### How was this patch tested?

Newly added tests pass.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #46643 from michaelzhan-db/SPARK-48294-3.5.

Authored-by: Michael Zhang <m.zhang@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../spark/sql/errors/QueryParsingErrors.scala |  2 +-
 .../sql/errors/QueryParsingErrorsSuite.scala  | 19 +++++++++++++++++++
 2 files changed, 20 insertions(+), 1 deletion(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
index f63fc8c4785bc..d9bfb26906420 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/errors/QueryParsingErrors.scala
@@ -283,7 +283,7 @@ private[sql] object QueryParsingErrors extends DataTypeErrorsBase {
 
   def nestedTypeMissingElementTypeError(
       dataType: String, ctx: PrimitiveDataTypeContext): Throwable = {
-    dataType match {
+    dataType.toUpperCase(Locale.ROOT) match {
       case "ARRAY" =>
         new ParseException(
           errorClass = "INCOMPLETE_TYPE_DEFINITION.ARRAY",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
index 7ebb677b12158..84857b972918a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryParsingErrorsSuite.scala
@@ -604,6 +604,13 @@ class QueryParsingErrorsSuite extends QueryTest with SharedSparkSession with SQL
       sqlState = "42K01",
       parameters = Map("elementType" -> "<INT>"),
       context = ExpectedContext(fragment = "ARRAY", start = 30, stop = 34))
+    // Create column of array type without specifying element type in lowercase
+    checkError(
+      exception = parseException("CREATE TABLE tbl_120691 (col1 array)"),
+      errorClass = "INCOMPLETE_TYPE_DEFINITION.ARRAY",
+      sqlState = "42K01",
+      parameters = Map("elementType" -> "<INT>"),
+      context = ExpectedContext(fragment = "array", start = 30, stop = 34))
   }
 
   test("INCOMPLETE_TYPE_DEFINITION: struct type definition is incomplete") {
@@ -631,6 +638,12 @@ class QueryParsingErrorsSuite extends QueryTest with SharedSparkSession with SQL
       errorClass = "PARSE_SYNTAX_ERROR",
       sqlState = "42601",
       parameters = Map("error" -> "'>'", "hint" -> ""))
+    // Create column of struct type without specifying field type in lowercase
+    checkError(
+      exception = parseException("CREATE TABLE tbl_120691 (col1 struct)"),
+      errorClass = "INCOMPLETE_TYPE_DEFINITION.STRUCT",
+      sqlState = "42K01",
+      context = ExpectedContext(fragment = "struct", start = 30, stop = 35))
   }
 
   test("INCOMPLETE_TYPE_DEFINITION: map type definition is incomplete") {
@@ -652,6 +665,12 @@ class QueryParsingErrorsSuite extends QueryTest with SharedSparkSession with SQL
       errorClass = "PARSE_SYNTAX_ERROR",
       sqlState = "42601",
       parameters = Map("error" -> "'>'", "hint" -> ""))
+    // Create column of map type without specifying key/value types in lowercase
+    checkError(
+      exception = parseException("SELECT CAST(map('1',2) AS map)"),
+      errorClass = "INCOMPLETE_TYPE_DEFINITION.MAP",
+      sqlState = "42K01",
+      context = ExpectedContext(fragment = "map", start = 26, stop = 28))
   }
 
   test("INVALID_ESC: Escape string must contain only one character") {

From 0a45becbf0a9007edcdd9a8053e9f6d6401d1834 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 27 May 2024 10:28:06 +0900
Subject: [PATCH 718/986] [SPARK-48424][INFRA] Make dev/is-changed.py to return
 true it it fails

### What changes were proposed in this pull request?

This PR proposes to make dev/is-changed.py to return true it it fails

### Why are the changes needed?

To make the test robust. GitHub Actions sometimes fail to set the hash for commit properly, e.g., https://github.com/apache/spark/actions/runs/9244026522/job/25435224163?pr=46747

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

Manually tested:

```bash
GITHUB_SHA=a29c9653f3d48d97875ae446d82896bdf0de61ca GITHUB_PREV_SHA=0000000000000000000000000000000000000000 ./dev/is-changed.py -m root
```

```bash
a=`GITHUB_SHA=a29c9653f3d48d97875ae446d82896bdf0de61ca GITHUB_PREV_SHA=0000000000000000000000000000000000000000 ./dev/is-changed.py -m root`
echo $a
```

```bash
GITHUB_SHA=a29c9653f3d48d97875ae446d82896bdf0de61ca GITHUB_PREV_SHA=3346afd4b250c3aead5a237666d4942018a463e0 ./dev/is-changed.py -m root
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46749 from HyukjinKwon/SPARK-48424.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4ef5ec92ef70fffa231b422c7da17c4438e95d0d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/is-changed.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/dev/is-changed.py b/dev/is-changed.py
index 85f0d3cda6df4..1962e244d5dd7 100755
--- a/dev/is-changed.py
+++ b/dev/is-changed.py
@@ -17,6 +17,8 @@
 # limitations under the License.
 #
 
+import warnings
+import traceback
 import os
 import sys
 from argparse import ArgumentParser
@@ -82,4 +84,8 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    try:
+        main()
+    except Exception:
+        warnings.warn(f"Ignored exception:\n\n{traceback.format_exc()}")
+        print("true")

From f42c029fac5c8015d80ad957fae325243a2ed30d Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Mon, 27 May 2024 22:40:13 -0700
Subject: [PATCH 719/986] [SPARK-41049][SQL][FOLLOW-UP] Mark map related
 expressions as stateful expressions

MapConcat contains a state so it is stateful:
```
private lazy val mapBuilder = new ArrayBasedMapBuilder(dataType.keyType, dataType.valueType)
```

Similarly `MapFromEntries, CreateMap, MapFromArrays, StringToMap, and TransformKeys` need the same change.

Stateful expression should be marked as stateful.

No

N/A

No

Closes #46721 from amaliujia/statefulexpr.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit af1ac1edc2a96c9aba949e3100ddae37b6f0e5b2)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/expressions/collectionOperations.scala    |  3 +++
 .../sql/catalyst/expressions/complexTypeCreator.scala  |  6 ++++++
 .../catalyst/expressions/higherOrderFunctions.scala    |  2 ++
 .../scala/org/apache/spark/sql/DataFrameSuite.scala    | 10 +++++++++-
 4 files changed, 20 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
index 3ddbe38fdedfb..45896382af672 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
@@ -712,6 +712,7 @@ case class MapConcat(children: Seq[Expression])
     }
   }
 
+  override def stateful: Boolean = true
   override def nullable: Boolean = children.exists(_.nullable)
 
   private lazy val mapBuilder = new ArrayBasedMapBuilder(dataType.keyType, dataType.valueType)
@@ -827,6 +828,8 @@ case class MapFromEntries(child: Expression)
 
   override def nullable: Boolean = child.nullable || nullEntries
 
+  override def stateful: Boolean = true
+
   @transient override lazy val dataType: MapType = dataTypeDetails.get._1
 
   override def checkInputDataTypes(): TypeCheckResult = dataTypeDetails match {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
index c95a0987330d9..1b6f86984be77 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
@@ -242,6 +242,8 @@ case class CreateMap(children: Seq[Expression], useStringTypeWhenEmpty: Boolean)
 
   private lazy val mapBuilder = new ArrayBasedMapBuilder(dataType.keyType, dataType.valueType)
 
+  override def stateful: Boolean = true
+
   override def eval(input: InternalRow): Any = {
     var i = 0
     while (i < keys.length) {
@@ -317,6 +319,8 @@ case class MapFromArrays(left: Expression, right: Expression)
       valueContainsNull = right.dataType.asInstanceOf[ArrayType].containsNull)
   }
 
+  override def stateful: Boolean = true
+
   private lazy val mapBuilder = new ArrayBasedMapBuilder(dataType.keyType, dataType.valueType)
 
   override def nullSafeEval(keyArray: Any, valueArray: Any): Any = {
@@ -563,6 +567,8 @@ case class StringToMap(text: Expression, pairDelim: Expression, keyValueDelim: E
     this(child, Literal(","), Literal(":"))
   }
 
+  override def stateful: Boolean = true
+
   override def first: Expression = text
   override def second: Expression = pairDelim
   override def third: Expression = keyValueDelim
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala
index fec1df108bccf..5b10b401af98d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala
@@ -918,6 +918,8 @@ case class TransformKeys(
 
   override def dataType: MapType = MapType(function.dataType, valueType, valueContainsNull)
 
+  override def stateful: Boolean = true
+
   override def checkInputDataTypes(): TypeCheckResult = {
     TypeUtils.checkForMapKeyType(function.dataType)
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index c586da6105fde..260ecaa5ece10 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -35,7 +35,7 @@ import org.apache.spark.scheduler.{SparkListener, SparkListenerJobEnd}
 import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.MultiInstanceRelation
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
-import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, AttributeReference, EqualTo, ExpressionSet, GreaterThan, Literal, PythonUDF, ScalarSubquery, Uuid}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, AttributeReference, CreateMap, EqualTo, ExpressionSet, GreaterThan, Literal, PythonUDF, ScalarSubquery, Uuid}
 import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.plans.logical.{ColumnStat, LeafNode, LocalRelation, LogicalPlan, OneRowRelation, Statistics}
@@ -3636,6 +3636,14 @@ class DataFrameSuite extends QueryTest
       assert(row.getInt(0).toString == row.getString(2))
       assert(row.getInt(0).toString == row.getString(3))
     }
+
+    val v3 = Column(CreateMap(Seq(Literal("key"), Literal("value"))))
+    val v4 = to_csv(struct(v3.as("a"))) // to_csv is CodegenFallback
+    df.select(v3, v3, v4, v4).collect().foreach { row =>
+      assert(row.getMap(0).toString() == row.getMap(1).toString())
+      assert(row.getString(2) == s"{key -> ${row.getMap(0).get("key").get}}")
+      assert(row.getString(3) == s"{key -> ${row.getMap(0).get("key").get}}")
+    }
   }
 
   test("SPARK-41219: IntegralDivide use decimal(1, 0) to represent 0") {

From 7313d71438e4691f7c086e90ded4a6f644cdcdc5 Mon Sep 17 00:00:00 2001
From: Nikola Mandic <nikola.mandic@databricks.com>
Date: Tue, 28 May 2024 09:59:53 -0700
Subject: [PATCH 720/986] [SPARK-48273][SQL] Fix late rewrite of
 PlanWithUnresolvedIdentifier

### What changes were proposed in this pull request?

`PlanWithUnresolvedIdentifier` is rewritten later in analysis which causes rules like
`SubstituteUnresolvedOrdinals` to miss the new plan. This causes following queries to fail:
```
create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
--
cache table identifier('t1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
--
create table identifier('t2') as (select my_col from (values (1), (2), (1)
as (my_col)) group by 1);
insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1;
```
Fix this by explicitly applying rules after plan rewrite.

### Why are the changes needed?

To fix the described bug.

### Does this PR introduce _any_ user-facing change?

Yes, it fixes the mentioned problematic queries.

### How was this patch tested?

Updated existing `identifier-clause.sql` golden file.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46580 from nikolamand-db/SPARK-48273.

Authored-by: Nikola Mandic <nikola.mandic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 731a2cfcffaeeeb1f1c107080ca77000330d79b5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      |  9 ++-
 .../analysis/ResolveIdentifierClause.scala    | 11 +++-
 .../sql/catalyst/rules/RuleExecutor.scala     |  2 +-
 .../identifier-clause.sql.out                 | 59 +++++++++++++++++++
 .../sql-tests/inputs/identifier-clause.sql    |  9 +++
 .../results/identifier-clause.sql.out         | 56 ++++++++++++++++++
 6 files changed, 139 insertions(+), 7 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index ed7b978045c77..5890a9692e203 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -255,7 +255,7 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
     TypeCoercion.typeCoercionRules
   }
 
-  override def batches: Seq[Batch] = Seq(
+  private def earlyBatches: Seq[Batch] = Seq(
     Batch("Substitution", fixedPoint,
       // This rule optimizes `UpdateFields` expression chains so looks more like optimization rule.
       // However, when manipulating deeply nested schema, `UpdateFields` expression tree could be
@@ -275,7 +275,10 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
     Batch("Simple Sanity Check", Once,
       LookupFunctions),
     Batch("Keep Legacy Outputs", Once,
-      KeepLegacyOutputs),
+      KeepLegacyOutputs)
+  )
+
+  override def batches: Seq[Batch] = earlyBatches ++ Seq(
     Batch("Resolution", fixedPoint,
       new ResolveCatalogs(catalogManager) ::
       ResolveInsertInto ::
@@ -319,7 +322,7 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       ResolveTimeZone ::
       ResolveRandomSeed ::
       ResolveBinaryArithmetic ::
-      ResolveIdentifierClause ::
+      new ResolveIdentifierClause(earlyBatches) ::
       ResolveUnion ::
       ResolveRowLevelCommandAssignments ::
       RewriteDeleteFromTable ::
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
index e0d3e5629ef8b..422bad3d89e24 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
@@ -20,19 +20,24 @@ package org.apache.spark.sql.catalyst.analysis
 import org.apache.spark.sql.catalyst.expressions.{AliasHelper, EvalHelper, Expression}
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
-import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.rules.{Rule, RuleExecutor}
 import org.apache.spark.sql.catalyst.trees.TreePattern.UNRESOLVED_IDENTIFIER
 import org.apache.spark.sql.types.StringType
 
 /**
  * Resolves the identifier expressions and builds the original plans/expressions.
  */
-object ResolveIdentifierClause extends Rule[LogicalPlan] with AliasHelper with EvalHelper {
+class ResolveIdentifierClause(earlyBatches: Seq[RuleExecutor[LogicalPlan]#Batch])
+  extends Rule[LogicalPlan] with AliasHelper with EvalHelper {
+
+  private val executor = new RuleExecutor[LogicalPlan] {
+    override def batches: Seq[Batch] = earlyBatches.asInstanceOf[Seq[Batch]]
+  }
 
   override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUpWithPruning(
     _.containsAnyPattern(UNRESOLVED_IDENTIFIER)) {
     case p: PlanWithUnresolvedIdentifier if p.identifierExpr.resolved =>
-      p.planBuilder.apply(evalIdentifierExpr(p.identifierExpr))
+      executor.execute(p.planBuilder.apply(evalIdentifierExpr(p.identifierExpr)))
     case other =>
       other.transformExpressionsWithPruning(_.containsAnyPattern(UNRESOLVED_IDENTIFIER)) {
         case e: ExpressionWithUnresolvedIdentifier if e.identifierExpr.resolved =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleExecutor.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleExecutor.scala
index 9d29ca1f9c6e1..c16b50a2b17a3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleExecutor.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleExecutor.scala
@@ -143,7 +143,7 @@ abstract class RuleExecutor[TreeType <: TreeNode[_]] extends Logging {
     override val maxIterationsSetting: String = null) extends Strategy
 
   /** A batch of rules. */
-  protected case class Batch(name: String, strategy: Strategy, rules: Rule[TreeType]*)
+  protected[catalyst] case class Batch(name: String, strategy: Strategy, rules: Rule[TreeType]*)
 
   /** Defines a sequence of rule batches, to be overridden by the implementation. */
   protected def batches: Seq[Batch]
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
index f91d0a26cf8a4..823ce43247a74 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
@@ -881,6 +881,65 @@ org.apache.spark.sql.catalyst.parser.ParseException
 }
 
 
+-- !query
+create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query analysis
+CreateViewCommand `v1`, (select my_col from (values (1), (2), (1) as (my_col)) group by 1), false, false, LocalTempView, UNSUPPORTED, true
+   +- Aggregate [my_col#x], [my_col#x]
+      +- SubqueryAlias __auto_generated_subquery_name
+         +- SubqueryAlias as
+            +- LocalRelation [my_col#x]
+
+
+-- !query
+cache table identifier('t1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query analysis
+CacheTableAsSelect t1, (select my_col from (values (1), (2), (1) as (my_col)) group by 1), false, true
+   +- Aggregate [my_col#x], [my_col#x]
+      +- SubqueryAlias __auto_generated_subquery_name
+         +- SubqueryAlias as
+            +- LocalRelation [my_col#x]
+
+
+-- !query
+create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query analysis
+CreateDataSourceTableAsSelectCommand `spark_catalog`.`default`.`t2`, ErrorIfExists, [my_col]
+   +- Aggregate [my_col#x], [my_col#x]
+      +- SubqueryAlias __auto_generated_subquery_name
+         +- SubqueryAlias as
+            +- LocalRelation [my_col#x]
+
+
+-- !query
+insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1
+-- !query analysis
+InsertIntoHadoopFsRelationCommand file:[not included in comparison]/{warehouse_dir}/t2, false, Parquet, [path=file:[not included in comparison]/{warehouse_dir}/t2], Append, `spark_catalog`.`default`.`t2`, org.apache.spark.sql.execution.datasources.InMemoryFileIndex(file:[not included in comparison]/{warehouse_dir}/t2), [my_col]
++- Aggregate [my_col#x], [my_col#x]
+   +- SubqueryAlias __auto_generated_subquery_name
+      +- SubqueryAlias as
+         +- LocalRelation [my_col#x]
+
+
+-- !query
+drop view v1
+-- !query analysis
+DropTempViewCommand v1
+
+
+-- !query
+drop table t1
+-- !query analysis
+DropTempViewCommand t1
+
+
+-- !query
+drop table t2
+-- !query analysis
+DropTable false, false
++- ResolvedIdentifier V2SessionCatalog(spark_catalog), default.t2
+
+
 -- !query
 SELECT row_number() OVER IDENTIFIER('x.win') FROM VALUES(1) AS T(c1) WINDOW win AS (ORDER BY c1)
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
index 07ae157072938..9e6314202b5f5 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
@@ -122,6 +122,15 @@ CREATE TEMPORARY FUNCTION IDENTIFIER('default.my' || 'DoubleAvg') AS 'test.org.a
 DROP TEMPORARY FUNCTION IDENTIFIER('default.my' || 'DoubleAvg');
 CREATE TEMPORARY VIEW IDENTIFIER('default.v')(c1) AS VALUES(1);
 
+-- SPARK-48273: Aggregation operation in statements using identifier clause for table name
+create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
+cache table identifier('t1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
+create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
+insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1;
+drop view v1;
+drop table t1;
+drop table t2;
+
 -- Not supported
 SELECT row_number() OVER IDENTIFIER('x.win') FROM VALUES(1) AS T(c1) WINDOW win AS (ORDER BY c1);
 SELECT T1.c1 FROM VALUES(1) AS T1(c1) JOIN VALUES(1) AS T2(c1) USING (IDENTIFIER('c1'));
diff --git a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
index ed87f69fc5e6b..4d62c371a1713 100644
--- a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
@@ -1010,6 +1010,62 @@ org.apache.spark.sql.catalyst.parser.ParseException
 }
 
 
+-- !query
+create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+cache table identifier('t1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop view v1
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop table t1
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+drop table t2
+-- !query schema
+struct<>
+-- !query output
+
+
+
 -- !query
 SELECT row_number() OVER IDENTIFIER('x.win') FROM VALUES(1) AS T(c1) WINDOW win AS (ORDER BY c1)
 -- !query schema

From 043944e1b54902f6d8204a5610e8eb780f1fe753 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Wed, 29 May 2024 13:35:01 -0700
Subject: [PATCH 721/986] [SPARK-48273][SQL][FOLLOWUP] Explicitly create
 non-Hive table in identifier-clause.sql

### What changes were proposed in this pull request?

A followup of https://github.com/apache/spark/pull/46580 . It's better to create non-Hive tables in the tests, so that it's backport safe, as old branches creates hive table by default.

### Why are the changes needed?

fix branch-3.5 CI

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

N/A

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46794 from cloud-fan/test.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit cf47293b5fc7c80d19e50fda44a01f91d5e34530)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql-tests/analyzer-results/identifier-clause.sql.out  | 8 ++++----
 .../test/resources/sql-tests/inputs/identifier-clause.sql | 6 +++---
 .../resources/sql-tests/results/identifier-clause.sql.out | 6 +++---
 3 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
index 823ce43247a74..9b56a172e59d9 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
@@ -687,7 +687,7 @@ org.apache.spark.sql.AnalysisException
 
 
 -- !query
-CREATE TABLE IDENTIFIER(1)(c1 INT)
+CREATE TABLE IDENTIFIER(1)(c1 INT) USING csv
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
@@ -709,7 +709,7 @@ org.apache.spark.sql.AnalysisException
 
 
 -- !query
-CREATE TABLE IDENTIFIER('a.b.c')(c1 INT)
+CREATE TABLE IDENTIFIER('a.b.c')(c1 INT) USING csv
 -- !query analysis
 org.apache.spark.sql.AnalysisException
 {
@@ -902,7 +902,7 @@ CacheTableAsSelect t1, (select my_col from (values (1), (2), (1) as (my_col)) gr
 
 
 -- !query
-create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+create table identifier('t2') using csv as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
 -- !query analysis
 CreateDataSourceTableAsSelectCommand `spark_catalog`.`default`.`t2`, ErrorIfExists, [my_col]
    +- Aggregate [my_col#x], [my_col#x]
@@ -914,7 +914,7 @@ CreateDataSourceTableAsSelectCommand `spark_catalog`.`default`.`t2`, ErrorIfExis
 -- !query
 insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1
 -- !query analysis
-InsertIntoHadoopFsRelationCommand file:[not included in comparison]/{warehouse_dir}/t2, false, Parquet, [path=file:[not included in comparison]/{warehouse_dir}/t2], Append, `spark_catalog`.`default`.`t2`, org.apache.spark.sql.execution.datasources.InMemoryFileIndex(file:[not included in comparison]/{warehouse_dir}/t2), [my_col]
+InsertIntoHadoopFsRelationCommand file:[not included in comparison]/{warehouse_dir}/t2, false, CSV, [path=file:[not included in comparison]/{warehouse_dir}/t2], Append, `spark_catalog`.`default`.`t2`, org.apache.spark.sql.execution.datasources.InMemoryFileIndex(file:[not included in comparison]/{warehouse_dir}/t2), [my_col]
 +- Aggregate [my_col#x], [my_col#x]
    +- SubqueryAlias __auto_generated_subquery_name
       +- SubqueryAlias as
diff --git a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
index 9e6314202b5f5..e85fdf7b5da3d 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/identifier-clause.sql
@@ -109,8 +109,8 @@ VALUES(IDENTIFIER(1));
 VALUES(IDENTIFIER(SUBSTR('HELLO', 1, RAND() + 1)));
 SELECT `IDENTIFIER`('abs')(c1) FROM VALUES(-1) AS T(c1);
 
-CREATE TABLE IDENTIFIER(1)(c1 INT);
-CREATE TABLE IDENTIFIER('a.b.c')(c1 INT);
+CREATE TABLE IDENTIFIER(1)(c1 INT) USING csv;
+CREATE TABLE IDENTIFIER('a.b.c')(c1 INT) USING csv;
 CREATE VIEW IDENTIFIER('a.b.c')(c1) AS VALUES(1);
 DROP TABLE IDENTIFIER('a.b.c');
 DROP VIEW IDENTIFIER('a.b.c');
@@ -125,7 +125,7 @@ CREATE TEMPORARY VIEW IDENTIFIER('default.v')(c1) AS VALUES(1);
 -- SPARK-48273: Aggregation operation in statements using identifier clause for table name
 create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
 cache table identifier('t1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
-create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
+create table identifier('t2') using csv as (select my_col from (values (1), (2), (1) as (my_col)) group by 1);
 insert into identifier('t2') select my_col from (values (3) as (my_col)) group by 1;
 drop view v1;
 drop table t1;
diff --git a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
index 4d62c371a1713..62f43152c48d9 100644
--- a/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/identifier-clause.sql.out
@@ -794,7 +794,7 @@ org.apache.spark.sql.AnalysisException
 
 
 -- !query
-CREATE TABLE IDENTIFIER(1)(c1 INT)
+CREATE TABLE IDENTIFIER(1)(c1 INT) USING csv
 -- !query schema
 struct<>
 -- !query output
@@ -818,7 +818,7 @@ org.apache.spark.sql.AnalysisException
 
 
 -- !query
-CREATE TABLE IDENTIFIER('a.b.c')(c1 INT)
+CREATE TABLE IDENTIFIER('a.b.c')(c1 INT) USING csv
 -- !query schema
 struct<>
 -- !query output
@@ -1027,7 +1027,7 @@ struct<>
 
 
 -- !query
-create table identifier('t2') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
+create table identifier('t2') using csv as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
 -- !query schema
 struct<>
 -- !query output

From c87b6483a3e0690be2b267e6dcf93a3edd63b030 Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Wed, 29 May 2024 17:15:17 -0700
Subject: [PATCH 722/986] [SPARK-41049][SQL][FOLLOW-UP][3.5] stateful
 expressions test uses different pretty name

### What changes were proposed in this pull request?

We need use a different pretty string for the stateful expression test case in branch-3.5.

### Why are the changes needed?

Fix the failing test case.

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

Existing UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #46795 from amaliujia/branch-3.5.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../src/test/scala/org/apache/spark/sql/DataFrameSuite.scala | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 260ecaa5ece10..7ee18df375616 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -3641,8 +3641,9 @@ class DataFrameSuite extends QueryTest
     val v4 = to_csv(struct(v3.as("a"))) // to_csv is CodegenFallback
     df.select(v3, v3, v4, v4).collect().foreach { row =>
       assert(row.getMap(0).toString() == row.getMap(1).toString())
-      assert(row.getString(2) == s"{key -> ${row.getMap(0).get("key").get}}")
-      assert(row.getString(3) == s"{key -> ${row.getMap(0).get("key").get}}")
+      val expectedString = s"keys: [key], values: [${row.getMap(0).get("key").get}]"
+      assert(row.getString(2) == s"""\"$expectedString\"""")
+      assert(row.getString(3) == s"""\"$expectedString\"""")
     }
   }
 

From dc8f652c2c2e4fd858f0ab6c82ee9adf10d8e548 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 30 May 2024 16:34:25 +0900
Subject: [PATCH 723/986] [SPARK-48273][SQL][FOLLOWUP] Update golden file

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/46580 to update golden files

### Why are the changes needed?

fix CI

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

N/A

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46800 from cloud-fan/test.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql-tests/analyzer-results/identifier-clause.sql.out        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
index 9b56a172e59d9..ecab824f0995d 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/identifier-clause.sql.out
@@ -884,7 +884,7 @@ org.apache.spark.sql.catalyst.parser.ParseException
 -- !query
 create temporary view identifier('v1') as (select my_col from (values (1), (2), (1) as (my_col)) group by 1)
 -- !query analysis
-CreateViewCommand `v1`, (select my_col from (values (1), (2), (1) as (my_col)) group by 1), false, false, LocalTempView, UNSUPPORTED, true
+CreateViewCommand `v1`, (select my_col from (values (1), (2), (1) as (my_col)) group by 1), false, false, LocalTempView, true
    +- Aggregate [my_col#x], [my_col#x]
       +- SubqueryAlias __auto_generated_subquery_name
          +- SubqueryAlias as

From d64f96cbacd9d98b89f31c27cf4aa79262399659 Mon Sep 17 00:00:00 2001
From: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Date: Fri, 31 May 2024 13:33:02 +0800
Subject: [PATCH 724/986] [SPARK-48172][SQL][FOLLOWUP] Fix escaping issues in
 JDBCDialects

### What changes were proposed in this pull request?
Removal of stripMargin from the code in `DockerJDBCIntegrationV2Suite`.

### Why are the changes needed?
https://github.com/apache/spark/pull/46588
Given PR was merged to master/3.5/3.4. This PR broke daily jobs for `OracleIntegrationSuite`. Upon inspection, it was noted that 3.4 and 3.5 are run with JDK8 while master is run with JDK21 and stripMargin was behaving differently in those cases. Upon removing stripMargin and spliting `INSERT INTO` statements into multiple lines, all integration tests have passed.

### Does this PR introduce _any_ user-facing change?
No, only loading of the test data was changed to follow language requirements.

### How was this patch tested?
Existing suite was aborted in the job and now it is running.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46806

Closes #46807 from mihailom-db/FixOracleMaster.

Authored-by: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 4360ec733d248b62798a191301e2b671f7bcfbd5)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../v2/DockerJDBCIntegrationV2Suite.scala     | 28 ++++++++++++-------
 1 file changed, 18 insertions(+), 10 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
index 5f4f0b7a3afbc..60345257f2dc4 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/DockerJDBCIntegrationV2Suite.scala
@@ -39,16 +39,24 @@ abstract class DockerJDBCIntegrationV2Suite extends DockerJDBCIntegrationSuite {
     connection.prepareStatement("INSERT INTO employee VALUES (6, 'jen', 12000, 1200)")
       .executeUpdate()
 
-    connection.prepareStatement(
-      s"""
-         |INSERT INTO pattern_testing_table VALUES
-         |('special_character_quote''_present'),
-         |('special_character_quote_not_present'),
-         |('special_character_percent%_present'),
-         |('special_character_percent_not_present'),
-         |('special_character_underscore_present'),
-         |('special_character_underscorenot_present')
-             """.stripMargin).executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_quote''_present')")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_quote_not_present')")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_percent%_present')")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_percent_not_present')")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_underscore_present')")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO pattern_testing_table "
+        + "VALUES ('special_character_underscorenot_present')")
+      .executeUpdate()
   }
 
   def tablePreparation(connection: Connection): Unit

From 7d39000f809a117d2ef9e73e46697704e45ba262 Mon Sep 17 00:00:00 2001
From: jackylee-ch <lijunqing@baidu.com>
Date: Fri, 31 May 2024 22:37:49 +0800
Subject: [PATCH 725/986] [SPARK-48484][SQL] Fix: V2Write use the same
 TaskAttemptId for different task attempts

### What changes were proposed in this pull request?
After #40064 , we always get the same TaskAttemptId for different task attempts which has the same partitionId. This would lead different task attempts write to the same directory.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
GA

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #46811 from jackylee-ch/fix_v2write_use_same_directories_for_different_task_attempts.

Lead-authored-by: jackylee-ch <lijunqing@baidu.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 67d11b1992aaa100d0e1fa30b0e5c33684c93a89)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../datasources/v2/FileWriterFactory.scala    |  8 ++--
 .../v2/FileWriterFactorySuite.scala           | 48 +++++++++++++++++++
 2 files changed, 53 insertions(+), 3 deletions(-)
 create mode 100644 sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactorySuite.scala

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactory.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactory.scala
index 4b1a099d3bac9..f18424b4bcb86 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactory.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactory.scala
@@ -38,7 +38,7 @@ case class FileWriterFactory (
   @transient private lazy val jobId = SparkHadoopWriterUtils.createJobID(jobTrackerID, 0)
 
   override def createWriter(partitionId: Int, realTaskId: Long): DataWriter[InternalRow] = {
-    val taskAttemptContext = createTaskAttemptContext(partitionId)
+    val taskAttemptContext = createTaskAttemptContext(partitionId, realTaskId.toInt & Int.MaxValue)
     committer.setupTask(taskAttemptContext)
     if (description.partitionColumns.isEmpty) {
       new SingleDirectoryDataWriter(description, taskAttemptContext, committer)
@@ -47,9 +47,11 @@ case class FileWriterFactory (
     }
   }
 
-  private def createTaskAttemptContext(partitionId: Int): TaskAttemptContextImpl = {
+  private def createTaskAttemptContext(
+      partitionId: Int,
+      realTaskId: Int): TaskAttemptContextImpl = {
     val taskId = new TaskID(jobId, TaskType.MAP, partitionId)
-    val taskAttemptId = new TaskAttemptID(taskId, 0)
+    val taskAttemptId = new TaskAttemptID(taskId, realTaskId)
     // Set up the configuration object
     val hadoopConf = description.serializableHadoopConf.value
     hadoopConf.set("mapreduce.job.id", jobId.toString)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactorySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactorySuite.scala
new file mode 100644
index 0000000000000..bd20307974416
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/FileWriterFactorySuite.scala
@@ -0,0 +1,48 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.execution.datasources.v2
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
+import org.mockito.Mockito._
+import org.scalatest.PrivateMethodTester
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.internal.io.FileCommitProtocol
+import org.apache.spark.sql.execution.datasources.WriteJobDescription
+import org.apache.spark.util.SerializableConfiguration
+
+class FileWriterFactorySuite extends SparkFunSuite with PrivateMethodTester {
+
+  test("SPARK-48484: V2Write uses different TaskAttemptIds for different task attempts") {
+    val jobDescription = mock(classOf[WriteJobDescription])
+    when(jobDescription.serializableHadoopConf).thenReturn(
+      new SerializableConfiguration(new Configuration(false)))
+    val committer = mock(classOf[FileCommitProtocol])
+
+    val writerFactory = FileWriterFactory(jobDescription, committer)
+    val createTaskAttemptContext =
+      PrivateMethod[TaskAttemptContextImpl](Symbol("createTaskAttemptContext"))
+
+    val attemptContext =
+      writerFactory.invokePrivate(createTaskAttemptContext(0, 1))
+    val attemptContext1 =
+      writerFactory.invokePrivate(createTaskAttemptContext(0, 2))
+    assert(attemptContext.getTaskAttemptID.getTaskID == attemptContext1.getTaskAttemptID.getTaskID)
+    assert(attemptContext.getTaskAttemptID.getId != attemptContext1.getTaskAttemptID.getId)
+  }
+}

From 744b070fa964dee9e5460a24f88f22c3af8170dc Mon Sep 17 00:00:00 2001
From: Dereck Li <monkeyboy.ljh@gmail.com>
Date: Fri, 31 May 2024 15:56:05 -0700
Subject: [PATCH 726/986] [SPARK-48391][CORE] Using addAll instead of add
 function in fromAccumulatorInfos method of TaskMetrics Class
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

Using addAll instead of add function in fromAccumulators method of TaskMetrics.

### Why are the changes needed?

To Improve performance. In the fromAccumulators method of TaskMetrics，we should use `
tm._externalAccums.addAll` instead of `tm._externalAccums.add`, as _externalAccums is a instance of CopyOnWriteArrayList

### Does this PR introduce _any_ user-facing change?

yes.

### How was this patch tested?

No Tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46705 from monkeyboy123/fromAccumulators-accelerate.

Authored-by: Dereck Li <monkeyboy.ljh@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 3cd35f8cb6462051c621cf49de54b9c5692aae1d)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../main/scala/org/apache/spark/executor/TaskMetrics.scala | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
index 78b39b0cbda68..d446104cb6421 100644
--- a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
+++ b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -328,16 +328,19 @@ private[spark] object TaskMetrics extends Logging {
    */
   def fromAccumulators(accums: Seq[AccumulatorV2[_, _]]): TaskMetrics = {
     val tm = new TaskMetrics
+    val externalAccums = new java.util.ArrayList[AccumulatorV2[Any, Any]]()
     for (acc <- accums) {
       val name = acc.name
+      val tmpAcc = acc.asInstanceOf[AccumulatorV2[Any, Any]]
       if (name.isDefined && tm.nameToAccums.contains(name.get)) {
         val tmAcc = tm.nameToAccums(name.get).asInstanceOf[AccumulatorV2[Any, Any]]
         tmAcc.metadata = acc.metadata
-        tmAcc.merge(acc.asInstanceOf[AccumulatorV2[Any, Any]])
+        tmAcc.merge(tmpAcc)
       } else {
-        tm._externalAccums.add(acc)
+        externalAccums.add(tmpAcc)
       }
     }
+    tm._externalAccums.addAll(externalAccums)
     tm
   }
 }

From 7e0c31445c31a76f6e1835f204e8a09eee2b57dc Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Sat, 1 Jun 2024 15:15:01 +0900
Subject: [PATCH 727/986] [SPARK-48481][SQL][SS] Do not apply
 OptimizeOneRowPlan against streaming Dataset

### What changes were proposed in this pull request?

This PR proposes to exclude streaming Dataset from the target of OptimizeOneRowPlan.

### Why are the changes needed?

The rule should not be applied to streaming source, since the number of rows it sees is just for current microbatch. It does not mean the streaming source will ever produce max 1 rows during lifetime of the query.

Suppose the case: the streaming query has a case where batch 0 runs with empty data in streaming source A which triggers the rule with Aggregate, and batch 1 runs with several data in streaming source A which no longer trigger the rule.

In the above scenario, this could fail the query as stateful operator is expected to be planned for every batches whereas here it is planned "selectively".

### Does this PR introduce _any_ user-facing change?

Yes, but the behavior can be reverted back with a new config, `spark.sql.streaming.optimizeOneRowPlan.enabled`, although I believe there should be really rare case where users have to turn the config on.

### How was this patch tested?

New UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46820 from HeartSaVioR/SPARK-48481.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 1cecdc7596e078b4917f456bfbd2435ff9022f2f)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../optimizer/OptimizeOneRowPlan.scala        | 27 ++++++-
 .../apache/spark/sql/internal/SQLConf.scala   | 11 +++
 ...ingQueryOptimizationCorrectnessSuite.scala | 73 +++++++++++++++++++
 3 files changed, 107 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeOneRowPlan.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeOneRowPlan.scala
index 83646611578cb..61c08eb8f8b6f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeOneRowPlan.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeOneRowPlan.scala
@@ -21,6 +21,7 @@ import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.catalyst.trees.TreePattern._
+import org.apache.spark.sql.internal.SQLConf
 
 /**
  * The rule is applied both normal and AQE Optimizer. It optimizes plan using max rows:
@@ -31,19 +32,37 @@ import org.apache.spark.sql.catalyst.trees.TreePattern._
  *     it's grouping only(include the rewritten distinct plan), convert aggregate to project
  *   - if the max rows of the child of aggregate is less than or equal to 1,
  *     set distinct to false in all aggregate expression
+ *
+ * Note: the rule should not be applied to streaming source, since the number of rows it sees is
+ * just for current microbatch. It does not mean the streaming source will ever produce max 1
+ * rows during lifetime of the query. Suppose the case: the streaming query has a case where
+ * batch 0 runs with empty data in streaming source A which triggers the rule with Aggregate,
+ * and batch 1 runs with several data in streaming source A which no longer trigger the rule.
+ * In the above scenario, this could fail the query as stateful operator is expected to be planned
+ * for every batches whereas here it is planned "selectively".
  */
 object OptimizeOneRowPlan extends Rule[LogicalPlan] {
   override def apply(plan: LogicalPlan): LogicalPlan = {
+    val enableForStreaming = conf.getConf(SQLConf.STREAMING_OPTIMIZE_ONE_ROW_PLAN_ENABLED)
+
     plan.transformUpWithPruning(_.containsAnyPattern(SORT, AGGREGATE), ruleId) {
-      case Sort(_, _, child) if child.maxRows.exists(_ <= 1L) => child
-      case Sort(_, false, child) if child.maxRowsPerPartition.exists(_ <= 1L) => child
-      case agg @ Aggregate(_, _, child) if agg.groupOnly && child.maxRows.exists(_ <= 1L) =>
+      case Sort(_, _, child) if child.maxRows.exists(_ <= 1L) &&
+        isChildEligible(child, enableForStreaming) => child
+      case Sort(_, false, child) if child.maxRowsPerPartition.exists(_ <= 1L) &&
+        isChildEligible(child, enableForStreaming) => child
+      case agg @ Aggregate(_, _, child) if agg.groupOnly && child.maxRows.exists(_ <= 1L) &&
+        isChildEligible(child, enableForStreaming) =>
         Project(agg.aggregateExpressions, child)
-      case agg: Aggregate if agg.child.maxRows.exists(_ <= 1L) =>
+      case agg: Aggregate if agg.child.maxRows.exists(_ <= 1L) &&
+        isChildEligible(agg.child, enableForStreaming) =>
         agg.transformExpressions {
           case aggExpr: AggregateExpression if aggExpr.isDistinct =>
             aggExpr.copy(isDistinct = false)
         }
     }
   }
+
+  private def isChildEligible(child: LogicalPlan, enableForStreaming: Boolean): Boolean = {
+    enableForStreaming || !child.isStreaming
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 3e62f656ac9e4..74ff4f09a157f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2142,6 +2142,17 @@ object SQLConf {
       .createWithDefault(true)
 
 
+  val STREAMING_OPTIMIZE_ONE_ROW_PLAN_ENABLED =
+    buildConf("spark.sql.streaming.optimizeOneRowPlan.enabled")
+      .internal()
+      .doc("When true, enable OptimizeOneRowPlan rule for the case where the child is a " +
+        "streaming Dataset. This is a fallback flag to revert the 'incorrect' behavior, hence " +
+        "this configuration must not be used without understanding in depth. Use this only to " +
+        "quickly recover failure in existing query!")
+      .version("4.0.0")
+      .booleanConf
+      .createWithDefault(false)
+
   val VARIABLE_SUBSTITUTE_ENABLED =
     buildConf("spark.sql.variable.substitute")
       .doc("This enables substitution using syntax like `${var}`, `${system:var}`, " +
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
index d17da5d31edd4..782badaef924f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
@@ -22,6 +22,7 @@ import java.sql.Timestamp
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.execution.streaming.MemoryStream
 import org.apache.spark.sql.functions.{expr, lit, window}
+import org.apache.spark.sql.internal.SQLConf
 
 /**
  * This test ensures that any optimizations done by Spark SQL optimizer are
@@ -451,4 +452,76 @@ class StreamingQueryOptimizationCorrectnessSuite extends StreamTest {
       )
     }
   }
+
+  test("SPARK-48481: DISTINCT with empty stream source should retain AGGREGATE") {
+    def doTest(numExpectedStatefulOperatorsForOneEmptySource: Int): Unit = {
+      withTempView("tv1", "tv2") {
+        val inputStream1 = MemoryStream[Int]
+        val ds1 = inputStream1.toDS()
+        ds1.registerTempTable("tv1")
+
+        val inputStream2 = MemoryStream[Int]
+        val ds2 = inputStream2.toDS()
+        ds2.registerTempTable("tv2")
+
+        // DISTINCT is rewritten to AGGREGATE, hence an AGGREGATEs for each source
+        val unioned = spark.sql(
+          """
+            | WITH u AS (
+            |   SELECT DISTINCT value AS value FROM tv1
+            | ), v AS (
+            |   SELECT DISTINCT value AS value FROM tv2
+            | )
+            | SELECT value FROM u UNION ALL SELECT value FROM v
+            |""".stripMargin
+        )
+
+        testStream(unioned, OutputMode.Update())(
+          MultiAddData(inputStream1, 1, 1, 2)(inputStream2, 1, 1, 2),
+          CheckNewAnswer(1, 2, 1, 2),
+          Execute { qe =>
+            val stateOperators = qe.lastProgress.stateOperators
+            // Aggregate should be "stateful" one
+            assert(stateOperators.length === 2)
+            stateOperators.zipWithIndex.foreach { case (op, id) =>
+              assert(op.numRowsUpdated === 2, s"stateful OP ID: $id")
+            }
+          },
+          AddData(inputStream2, 2, 2, 3),
+          // NOTE: this is probably far from expectation to have 2 as output given user intends
+          // deduplicate, but the behavior is still correct with rewritten node and output mode:
+          // Aggregate & Update mode.
+          // TODO: Probably we should disallow DISTINCT or rewrite to
+          //  dropDuplicates(WithinWatermark) for streaming source?
+          CheckNewAnswer(2, 3),
+          Execute { qe =>
+            val stateOperators = qe.lastProgress.stateOperators
+            // Aggregate should be "stateful" one
+            assert(stateOperators.length === numExpectedStatefulOperatorsForOneEmptySource)
+            val opWithUpdatedRows = stateOperators.zipWithIndex.filterNot(_._1.numRowsUpdated == 0)
+            assert(opWithUpdatedRows.length === 1)
+            // If this were dropDuplicates, numRowsUpdated should have been 1.
+            assert(opWithUpdatedRows.head._1.numRowsUpdated === 2,
+              s"stateful OP ID: ${opWithUpdatedRows.head._2}")
+          },
+          AddData(inputStream1, 4, 4, 5),
+          CheckNewAnswer(4, 5),
+          Execute { qe =>
+            val stateOperators = qe.lastProgress.stateOperators
+            assert(stateOperators.length === numExpectedStatefulOperatorsForOneEmptySource)
+            val opWithUpdatedRows = stateOperators.zipWithIndex.filterNot(_._1.numRowsUpdated == 0)
+            assert(opWithUpdatedRows.length === 1)
+            assert(opWithUpdatedRows.head._1.numRowsUpdated === 2,
+              s"stateful OP ID: ${opWithUpdatedRows.head._2}")
+          }
+        )
+      }
+    }
+
+    doTest(numExpectedStatefulOperatorsForOneEmptySource = 2)
+
+    withSQLConf(SQLConf.STREAMING_OPTIMIZE_ONE_ROW_PLAN_ENABLED.key -> "true") {
+      doTest(numExpectedStatefulOperatorsForOneEmptySource = 1)
+    }
+  }
 }

From 7f99f2cbd7d2d637f15b8444aebae3f9630ed3ab Mon Sep 17 00:00:00 2001
From: Yi Wu <yi.wu@databricks.com>
Date: Mon, 3 Jun 2024 11:21:50 +0800
Subject: [PATCH 728/986] [SPARK-48394][3.5][CORE] Cleanup mapIdToMapIndex on
 mapoutput unregister

This PR backports https://github.com/apache/spark/pull/46706 to branch 3.5.

### What changes were proposed in this pull request?

This PR cleans up `mapIdToMapIndex` when the corresponding mapstatus is unregistered in three places:
* `removeMapOutput`
* `removeOutputsByFilter`
* `addMapOutput` (old mapstatus overwritten)

### Why are the changes needed?

There is only one valid mapstatus for the same `mapIndex` at the same time in Spark. `mapIdToMapIndex` should also follows the same rule to avoid chaos.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46768 from Ngone51/SPARK-48394-3.5.

Authored-by: Yi Wu <yi.wu@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/MapOutputTracker.scala   | 26 ++++++---
 .../apache/spark/MapOutputTrackerSuite.scala  | 55 +++++++++++++++++++
 2 files changed, 72 insertions(+), 9 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
index 3495536a3508f..9a7a3b0c0e75e 100644
--- a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
+++ b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
@@ -42,7 +42,6 @@ import org.apache.spark.scheduler.{MapStatus, MergeStatus, ShuffleOutputStatus}
 import org.apache.spark.shuffle.MetadataFetchFailedException
 import org.apache.spark.storage.{BlockId, BlockManagerId, ShuffleBlockId, ShuffleMergedBlockId}
 import org.apache.spark.util._
-import org.apache.spark.util.collection.OpenHashMap
 import org.apache.spark.util.io.{ChunkedByteBuffer, ChunkedByteBufferOutputStream}
 
 /**
@@ -151,17 +150,22 @@ private class ShuffleStatus(
   /**
    * Mapping from a mapId to the mapIndex, this is required to reduce the searching overhead within
    * the function updateMapOutput(mapId, bmAddress).
+   *
+   * Exposed for testing.
    */
-  private[this] val mapIdToMapIndex = new OpenHashMap[Long, Int]()
+  private[spark] val mapIdToMapIndex = new HashMap[Long, Int]()
 
   /**
    * Register a map output. If there is already a registered location for the map output then it
    * will be replaced by the new location.
    */
   def addMapOutput(mapIndex: Int, status: MapStatus): Unit = withWriteLock {
-    if (mapStatuses(mapIndex) == null) {
+    val currentMapStatus = mapStatuses(mapIndex)
+    if (currentMapStatus == null) {
       _numAvailableMapOutputs += 1
       invalidateSerializedMapOutputStatusCache()
+    } else {
+      mapIdToMapIndex.remove(currentMapStatus.mapId)
     }
     mapStatuses(mapIndex) = status
     mapIdToMapIndex(status.mapId) = mapIndex
@@ -190,8 +194,8 @@ private class ShuffleStatus(
           mapStatus.updateLocation(bmAddress)
           invalidateSerializedMapOutputStatusCache()
         case None =>
-          if (mapIndex.map(mapStatusesDeleted).exists(_.mapId == mapId)) {
-            val index = mapIndex.get
+          val index = mapStatusesDeleted.indexWhere(x => x != null && x.mapId == mapId)
+          if (index >= 0 && mapStatuses(index) == null) {
             val mapStatus = mapStatusesDeleted(index)
             mapStatus.updateLocation(bmAddress)
             mapStatuses(index) = mapStatus
@@ -216,9 +220,11 @@ private class ShuffleStatus(
    */
   def removeMapOutput(mapIndex: Int, bmAddress: BlockManagerId): Unit = withWriteLock {
     logDebug(s"Removing existing map output ${mapIndex} ${bmAddress}")
-    if (mapStatuses(mapIndex) != null && mapStatuses(mapIndex).location == bmAddress) {
+    val currentMapStatus = mapStatuses(mapIndex)
+    if (currentMapStatus != null && currentMapStatus.location == bmAddress) {
       _numAvailableMapOutputs -= 1
-      mapStatusesDeleted(mapIndex) = mapStatuses(mapIndex)
+      mapIdToMapIndex.remove(currentMapStatus.mapId)
+      mapStatusesDeleted(mapIndex) = currentMapStatus
       mapStatuses(mapIndex) = null
       invalidateSerializedMapOutputStatusCache()
     }
@@ -284,9 +290,11 @@ private class ShuffleStatus(
    */
   def removeOutputsByFilter(f: BlockManagerId => Boolean): Unit = withWriteLock {
     for (mapIndex <- mapStatuses.indices) {
-      if (mapStatuses(mapIndex) != null && f(mapStatuses(mapIndex).location)) {
+      val currentMapStatus = mapStatuses(mapIndex)
+      if (currentMapStatus != null && f(currentMapStatus.location)) {
         _numAvailableMapOutputs -= 1
-        mapStatusesDeleted(mapIndex) = mapStatuses(mapIndex)
+        mapIdToMapIndex.remove(currentMapStatus.mapId)
+        mapStatusesDeleted(mapIndex) = currentMapStatus
         mapStatuses(mapIndex) = null
         invalidateSerializedMapOutputStatusCache()
       }
diff --git a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
index 450ff01921a83..d6f925ddced92 100644
--- a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
@@ -1109,4 +1109,59 @@ class MapOutputTrackerSuite extends SparkFunSuite with LocalSparkContext {
       rpcEnv.shutdown()
     }
   }
+
+  test(
+    "SPARK-48394: mapIdToMapIndex should cleanup unused mapIndexes after removeOutputsByFilter"
+  ) {
+    val rpcEnv = createRpcEnv("test")
+    val tracker = newTrackerMaster()
+    try {
+      tracker.trackerEndpoint = rpcEnv.setupEndpoint(MapOutputTracker.ENDPOINT_NAME,
+        new MapOutputTrackerMasterEndpoint(rpcEnv, tracker, conf))
+      tracker.registerShuffle(0, 1, 1)
+      tracker.registerMapOutput(0, 0, MapStatus(BlockManagerId("exec-1", "hostA", 1000),
+        Array(2L), 0))
+      tracker.removeOutputsOnHost("hostA")
+      assert(tracker.shuffleStatuses(0).mapIdToMapIndex.filter(_._2 == 0).size == 0)
+    } finally {
+      tracker.stop()
+      rpcEnv.shutdown()
+    }
+  }
+
+  test("SPARK-48394: mapIdToMapIndex should cleanup unused mapIndexes after unregisterMapOutput") {
+    val rpcEnv = createRpcEnv("test")
+    val tracker = newTrackerMaster()
+    try {
+      tracker.trackerEndpoint = rpcEnv.setupEndpoint(MapOutputTracker.ENDPOINT_NAME,
+        new MapOutputTrackerMasterEndpoint(rpcEnv, tracker, conf))
+      tracker.registerShuffle(0, 1, 1)
+      tracker.registerMapOutput(0, 0, MapStatus(BlockManagerId("exec-1", "hostA", 1000),
+        Array(2L), 0))
+      tracker.unregisterMapOutput(0, 0, BlockManagerId("exec-1", "hostA", 1000))
+      assert(tracker.shuffleStatuses(0).mapIdToMapIndex.filter(_._2 == 0).size == 0)
+    } finally {
+      tracker.stop()
+      rpcEnv.shutdown()
+    }
+  }
+
+  test("SPARK-48394: mapIdToMapIndex should cleanup unused mapIndexes after registerMapOutput") {
+    val rpcEnv = createRpcEnv("test")
+    val tracker = newTrackerMaster()
+    try {
+      tracker.trackerEndpoint = rpcEnv.setupEndpoint(MapOutputTracker.ENDPOINT_NAME,
+        new MapOutputTrackerMasterEndpoint(rpcEnv, tracker, conf))
+      tracker.registerShuffle(0, 1, 1)
+      tracker.registerMapOutput(0, 0, MapStatus(BlockManagerId("exec-1", "hostA", 1000),
+        Array(2L), 0))
+      // Another task also finished working on partition 0.
+      tracker.registerMapOutput(0, 0, MapStatus(BlockManagerId("exec-2", "hostB", 1000),
+        Array(2L), 1))
+      assert(tracker.shuffleStatuses(0).mapIdToMapIndex.filter(_._2 == 0).size == 1)
+    } finally {
+      tracker.stop()
+      rpcEnv.shutdown()
+    }
+  }
 }

From d3a324d63f82ffc4a4818bb1bfe7485d12f1dada Mon Sep 17 00:00:00 2001
From: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Date: Wed, 5 Jun 2024 16:34:45 +0800
Subject: [PATCH 729/986] [SPARK-48535][SS] Update config docs to indicate
 possibility of data loss/corruption issue if skip nulls for stream-stream
 joins config is enabled

### What changes were proposed in this pull request?
Update config docs to indicate possibility of data loss/corruption issue if skip nulls for stream-stream joins config is enabled

### Why are the changes needed?
Clarifying the implications of turning off this config after a certain Spark version

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
N/A - config doc only change

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46875 from anishshri-db/task/SPARK-48535.

Authored-by: Anish Shrigondekar <anish.shrigondekar@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit c4f720dfb41919dade7002b49462b3ff6b91eb22)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../main/scala/org/apache/spark/sql/internal/SQLConf.scala    | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 74ff4f09a157f..ba27a03fdc311 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -2120,7 +2120,9 @@ object SQLConf {
   buildConf("spark.sql.streaming.stateStore.skipNullsForStreamStreamJoins.enabled")
     .internal()
     .doc("When true, this config will skip null values in hash based stream-stream joins. " +
-      "The number of skipped null values will be shown as custom metric of stream join operator.")
+      "The number of skipped null values will be shown as custom metric of stream join operator. " +
+      "If the streaming query was started with Spark 3.5 or above, please exercise caution " +
+      "before enabling this config since it may hide potential data loss/corruption issues.")
     .version("3.3.0")
     .booleanConf
     .createWithDefault(false)

From a00c11546273089dbfa993fa4c170eb70beecbc3 Mon Sep 17 00:00:00 2001
From: Uros Stankovic <uros.stankovic@databricks.com>
Date: Thu, 6 Jun 2024 13:08:48 -0700
Subject: [PATCH 730/986] [SPARK-48286] Fix analysis of column with exists
 default expression - Add user facing error

FIRST CHANGE

Pass correct parameter list to `org.apache.spark.sql.catalyst.util.ResolveDefaultColumns#analyze` when it is invoked from `org.apache.spark.sql.connector.catalog.CatalogV2Util#structFieldToV2Column`.

`org.apache.spark.sql.catalyst.util.ResolveDefaultColumns#analyze` method accepts 3 parameter

1) Field to analyze
2) Statement type - String
3) Metadata key - CURRENT_DEFAULT or EXISTS_DEFAULT

Method `org.apache.spark.sql.connector.catalog.CatalogV2Util#structFieldToV2Column`
pass `fieldToAnalyze` and `EXISTS_DEFAULT` as second parameter, so it is not metadata key, instead of that, it is statement type, so different expression is analyzed.

Pull requests where original change was introduced
https://github.com/apache/spark/pull/40049 - Initial commit
https://github.com/apache/spark/pull/44876 - Refactor that did not touch the issue
https://github.com/apache/spark/pull/44935 - Another refactor that did not touch the issue

SECOND CHANGE
Add user facing exception when default value is not foldable or resolved. Otherwise, user would see message "You hit a bug in Spark ...".
It is needed to pass correct value to `Column` object

Yes, this is a bug fix, existence default value has now proper expression, but before this change, existence default value was actually current default value of column.

Unit test

No

Closes #46594 from urosstan-db/SPARK-48286-Analyze-exists-default-expression-instead-of-current-default-expression.

Lead-authored-by: Uros Stankovic <uros.stankovic@databricks.com>
Co-authored-by: Uros Stankovic <155642965+urosstan-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 0f21df0b29cc18f0e0c7b12543f3a037e4032e65)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../util/ResolveDefaultColumnsUtil.scala      | 16 +++++++++++++
 .../sql/connector/catalog/CatalogV2Util.scala |  7 +++++-
 ...SourceV2DataFrameSessionCatalogSuite.scala |  9 ++++++-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 24 +++++++++++++++++++
 4 files changed, 54 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
index 50ff3eeab0c16..f55fa2d8f5e85 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
@@ -279,6 +279,7 @@ object ResolveDefaultColumns extends QueryErrorsBase with ResolveDefaultColumnsU
       throw QueryCompilationErrors.defaultValuesMayNotContainSubQueryExpressions(
         statementType, colName, defaultSQL)
     }
+
     // Analyze the parse result.
     val plan = try {
       val analyzer: Analyzer = DefaultColumnAnalyzer
@@ -293,6 +294,21 @@ object ResolveDefaultColumns extends QueryErrorsBase with ResolveDefaultColumnsU
     val analyzed: Expression = plan.collectFirst {
       case Project(Seq(a: Alias), OneRowRelation()) => a.child
     }.get
+
+    if (!analyzed.foldable) {
+      throw QueryCompilationErrors.defaultValueNotConstantError(statementType, colName, defaultSQL)
+    }
+
+    // Another extra check, expressions should already be resolved if AnalysisException is not
+    // thrown in the code block above
+    if (!analyzed.resolved) {
+      throw QueryCompilationErrors.defaultValuesUnresolvedExprError(
+        statementType,
+        colName,
+        defaultSQL,
+        cause = null)
+    }
+
     // Perform implicit coercion from the provided expression type to the required column type.
     if (dataType == analyzed.dataType) {
       analyzed
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
index be569b1de9dbc..47c438f154ab9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
@@ -512,10 +512,15 @@ private[sql] object CatalogV2Util {
     }
 
     if (isDefaultColumn) {
-      val e = analyze(f, EXISTS_DEFAULT_COLUMN_METADATA_KEY)
+      val e = analyze(
+        f,
+        statementType = "Column analysis",
+        metadataKey = EXISTS_DEFAULT_COLUMN_METADATA_KEY)
+
       assert(e.resolved && e.foldable,
         "The existence default value must be a simple SQL string that is resolved and foldable, " +
           "but got: " + f.getExistenceDefaultValue().get)
+
       val defaultValue = new ColumnDefaultValue(
         f.getCurrentDefaultValue().get, LiteralValue(e.eval(), f.dataType))
       val cleanedMetadata = metadataWithKeysRemoved(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
index 835566238c9c1..79fbabbeacaa6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
@@ -110,7 +110,14 @@ class InMemoryTableSessionCatalog extends TestV2SessionCatalogBase[InMemoryTable
     Option(tables.get(ident)) match {
       case Some(table) =>
         val properties = CatalogV2Util.applyPropertiesChanges(table.properties, changes)
-        val schema = CatalogV2Util.applySchemaChanges(table.schema, changes, None, "ALTER TABLE")
+        val provider = Option(properties.get("provider"))
+
+        val schema = CatalogV2Util.applySchemaChanges(
+          table.schema,
+          changes,
+          provider,
+          "ALTER TABLE"
+        )
 
         // fail if the last column in the schema was dropped
         if (schema.fields.isEmpty) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 7745e9c0a4ee7..d976e4465ff91 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3306,6 +3306,30 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-48286: Add new column with default value which is not foldable") {
+    val foldableExpressions = Seq("1", "2 + 1")
+    withSQLConf(SQLConf.DEFAULT_COLUMN_ALLOWED_PROVIDERS.key -> v2Source) {
+      withTable("tab") {
+        spark.sql(s"CREATE TABLE tab (col1 INT DEFAULT 100) USING $v2Source")
+        val exception = intercept[AnalysisException] {
+          // Rand function is not foldable
+          spark.sql(s"ALTER TABLE tab ADD COLUMN col2 DOUBLE DEFAULT rand()")
+        }
+        assert(exception.getSqlState == "42623")
+        assert(exception.errorClass.get == "INVALID_DEFAULT_VALUE.NOT_CONSTANT")
+        assert(exception.messageParameters("colName") == "`col2`")
+        assert(exception.messageParameters("defaultValue") == "rand()")
+        assert(exception.messageParameters("statement") == "ALTER TABLE")
+      }
+      foldableExpressions.foreach(expr => {
+        withTable("tab") {
+          spark.sql(s"CREATE TABLE tab (col1 INT DEFAULT 100) USING $v2Source")
+          spark.sql(s"ALTER TABLE tab ADD COLUMN col2 DOUBLE DEFAULT $expr")
+        }
+      })
+    }
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,

From 88582e11519b18549b6ed19868e1749963a5299e Mon Sep 17 00:00:00 2001
From: Ziqi Liu <ziqi.liu@databricks.com>
Date: Mon, 17 Jun 2024 14:34:35 +0800
Subject: [PATCH 731/986] [SPARK-48610][SQL] refactor: use auxiliary idMap
 instead of OP_ID_TAG

### What changes were proposed in this pull request?

refactor: In `ExplainUtils.processPlan`, use auxiliary idMap instead of OP_ID_TAG

### Why are the changes needed?

https://github.com/apache/spark/pull/45282 introduced synchronize to `ExplainUtils.processPlan`  to avoid race condition when multiple queries refers to same cached plan.

The granularity of lock is too large. We can try to fix the root cause of this concurrency issue by refactoring the usage of mutable `OP_ID_TAG`, which is not a good practice in terms of immutable nature of SparkPlan.

Instead, we can use an auxiliary id map, with object identity as the key. The entire scope of `OP_ID_TAG` usage is within `ExplainUtils.processPlan`, therefore it's safe to do so, with thread local to make it available in other involved classes.

### Does this PR introduce _any_ user-facing change?
  NO

### How was this patch tested?
existing UTs.

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #46965 from liuzqt/SPARK-48610.

Authored-by: Ziqi Liu <ziqi.liu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d3da240ee3023887062909f99dc382b38b4daf1b)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/catalyst/plans/QueryPlan.scala  | 18 ++++-
 .../spark/sql/execution/ExplainUtils.scala    | 75 ++++++++-----------
 2 files changed, 47 insertions(+), 46 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
index aee4790eb42aa..12ee0274fd7a9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.catalyst.plans
 
+import java.util.IdentityHashMap
+
 import scala.collection.mutable
 
 import org.apache.spark.sql.AnalysisException
@@ -429,7 +431,8 @@ abstract class QueryPlan[PlanType <: QueryPlan[PlanType]]
   override def verboseString(maxFields: Int): String = simpleString(maxFields)
 
   override def simpleStringWithNodeId(): String = {
-    val operatorId = getTagValue(QueryPlan.OP_ID_TAG).map(id => s"$id").getOrElse("unknown")
+    val operatorId = Option(QueryPlan.localIdMap.get().get(this)).map(id => s"$id")
+      .getOrElse("unknown")
     s"$nodeName ($operatorId)".trim
   }
 
@@ -449,7 +452,8 @@ abstract class QueryPlan[PlanType <: QueryPlan[PlanType]]
   }
 
   protected def formattedNodeName: String = {
-    val opId = getTagValue(QueryPlan.OP_ID_TAG).map(id => s"$id").getOrElse("unknown")
+    val opId = Option(QueryPlan.localIdMap.get().get(this)).map(id => s"$id")
+      .getOrElse("unknown")
     val codegenId =
       getTagValue(QueryPlan.CODEGEN_ID_TAG).map(id => s" [codegen id : $id]").getOrElse("")
     s"($opId) $nodeName$codegenId"
@@ -626,9 +630,17 @@ abstract class QueryPlan[PlanType <: QueryPlan[PlanType]]
 }
 
 object QueryPlan extends PredicateHelper {
-  val OP_ID_TAG = TreeNodeTag[Int]("operatorId")
   val CODEGEN_ID_TAG = new TreeNodeTag[Int]("wholeStageCodegenId")
 
+  /**
+   * A thread local map to store the mapping between the query plan and the query plan id.
+   * The scope of this thread local is within ExplainUtils.processPlan. The reason we define it here
+   * is because [[ QueryPlan ]] also needs this, and it doesn't have access to `execution` package
+   * from `catalyst`.
+   */
+  val localIdMap: ThreadLocal[java.util.Map[QueryPlan[_], Int]] = ThreadLocal.withInitial(() =>
+    new IdentityHashMap[QueryPlan[_], Int]())
+
   /**
    * Normalize the exprIds in the given expression, by updating the exprId in `AttributeReference`
    * with its referenced ordinal from input attributes. It's similar to `BindReferences` but we
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
index 11f6ae0e47ee1..421a963453f0d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExplainUtils.scala
@@ -17,9 +17,7 @@
 
 package org.apache.spark.sql.execution
 
-import java.util.Collections.newSetFromMap
 import java.util.IdentityHashMap
-import java.util.Set
 
 import scala.collection.mutable.{ArrayBuffer, BitSet}
 
@@ -30,6 +28,8 @@ import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AdaptiveS
 import org.apache.spark.sql.execution.exchange.{Exchange, ReusedExchangeExec}
 
 object ExplainUtils extends AdaptiveSparkPlanHelper {
+  def localIdMap: ThreadLocal[java.util.Map[QueryPlan[_], Int]] = QueryPlan.localIdMap
+
   /**
    * Given a input physical plan, performs the following tasks.
    *   1. Computes the whole stage codegen id for current operator and records it in the
@@ -80,24 +80,26 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
    * instances but cached plan is an exception. The `InMemoryRelation#innerChildren` use a shared
    * plan instance across multi-queries. Add lock for this method to avoid tag race condition.
    */
-  def processPlan[T <: QueryPlan[T]](plan: T, append: String => Unit): Unit = synchronized {
+  def processPlan[T <: QueryPlan[T]](plan: T, append: String => Unit): Unit = {
+    val prevIdMap = localIdMap.get()
     try {
-      // Initialize a reference-unique set of Operators to avoid accdiental overwrites and to allow
-      // intentional overwriting of IDs generated in previous AQE iteration
-      val operators = newSetFromMap[QueryPlan[_]](new IdentityHashMap())
+      // Initialize a reference-unique id map to store generated ids, which also avoid accidental
+      // overwrites and to allow intentional overwriting of IDs generated in previous AQE iteration
+      val idMap = new IdentityHashMap[QueryPlan[_], Int]()
+      localIdMap.set(idMap)
       // Initialize an array of ReusedExchanges to help find Adaptively Optimized Out
       // Exchanges as part of SPARK-42753
       val reusedExchanges = ArrayBuffer.empty[ReusedExchangeExec]
 
       var currentOperatorID = 0
-      currentOperatorID = generateOperatorIDs(plan, currentOperatorID, operators, reusedExchanges,
+      currentOperatorID = generateOperatorIDs(plan, currentOperatorID, idMap, reusedExchanges,
         true)
 
       val subqueries = ArrayBuffer.empty[(SparkPlan, Expression, BaseSubqueryExec)]
       getSubqueries(plan, subqueries)
 
       currentOperatorID = subqueries.foldLeft(currentOperatorID) {
-        (curId, plan) => generateOperatorIDs(plan._3.child, curId, operators, reusedExchanges,
+        (curId, plan) => generateOperatorIDs(plan._3.child, curId, idMap, reusedExchanges,
           true)
       }
 
@@ -105,9 +107,9 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
       val optimizedOutExchanges = ArrayBuffer.empty[Exchange]
       reusedExchanges.foreach{ reused =>
         val child = reused.child
-        if (!operators.contains(child)) {
+        if (!idMap.containsKey(child)) {
           optimizedOutExchanges.append(child)
-          currentOperatorID = generateOperatorIDs(child, currentOperatorID, operators,
+          currentOperatorID = generateOperatorIDs(child, currentOperatorID, idMap,
             reusedExchanges, false)
         }
       }
@@ -144,7 +146,7 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
         append("\n")
       }
     } finally {
-      removeTags(plan)
+      localIdMap.set(prevIdMap)
     }
   }
 
@@ -159,13 +161,15 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
    * @param plan Input query plan to process
    * @param startOperatorID The start value of operation id. The subsequent operations will be
    *                        assigned higher value.
-   * @param visited A unique set of operators visited by generateOperatorIds. The set is scoped
-   *                at the callsite function processPlan. It serves two purpose: Firstly, it is
-   *                used to avoid accidentally overwriting existing IDs that were generated in
-   *                the same processPlan call. Secondly, it is used to allow for intentional ID
-   *                overwriting as part of SPARK-42753 where an Adaptively Optimized Out Exchange
-   *                and its subtree may contain IDs that were generated in a previous AQE
-   *                iteration's processPlan call which would result in incorrect IDs.
+   * @param idMap   A reference-unique map store operators visited by generateOperatorIds and its
+   *                id. This Map is scoped at the callsite function processPlan. It serves three
+   *                purpose:
+   *                Firstly, it stores the QueryPlan - generated ID mapping. Secondly, it is used to
+   *                avoid accidentally overwriting existing IDs that were generated in the same
+   *                processPlan call. Thirdly, it is used to allow for intentional ID overwriting as
+   *                part of SPARK-42753 where an Adaptively Optimized Out Exchange and its subtree
+   *                may contain IDs that were generated in a previous AQE iteration's processPlan
+   *                call which would result in incorrect IDs.
    * @param reusedExchanges A unique set of ReusedExchange nodes visited which will be used to
    *                        idenitfy adaptively optimized out exchanges in SPARK-42753.
    * @param addReusedExchanges Whether to add ReusedExchange nodes to reusedExchanges set. We set it
@@ -177,7 +181,7 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
   private def generateOperatorIDs(
       plan: QueryPlan[_],
       startOperatorID: Int,
-      visited: Set[QueryPlan[_]],
+      idMap: java.util.Map[QueryPlan[_], Int],
       reusedExchanges: ArrayBuffer[ReusedExchangeExec],
       addReusedExchanges: Boolean): Int = {
     var currentOperationID = startOperatorID
@@ -186,36 +190,35 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
       return currentOperationID
     }
 
-    def setOpId(plan: QueryPlan[_]): Unit = if (!visited.contains(plan)) {
+    def setOpId(plan: QueryPlan[_]): Unit = idMap.computeIfAbsent(plan, plan => {
       plan match {
         case r: ReusedExchangeExec if addReusedExchanges =>
           reusedExchanges.append(r)
         case _ =>
       }
-      visited.add(plan)
       currentOperationID += 1
-      plan.setTagValue(QueryPlan.OP_ID_TAG, currentOperationID)
-    }
+      currentOperationID
+    })
 
     plan.foreachUp {
       case _: WholeStageCodegenExec =>
       case _: InputAdapter =>
       case p: AdaptiveSparkPlanExec =>
-        currentOperationID = generateOperatorIDs(p.executedPlan, currentOperationID, visited,
+        currentOperationID = generateOperatorIDs(p.executedPlan, currentOperationID, idMap,
           reusedExchanges, addReusedExchanges)
         if (!p.executedPlan.fastEquals(p.initialPlan)) {
-          currentOperationID = generateOperatorIDs(p.initialPlan, currentOperationID, visited,
+          currentOperationID = generateOperatorIDs(p.initialPlan, currentOperationID, idMap,
             reusedExchanges, addReusedExchanges)
         }
         setOpId(p)
       case p: QueryStageExec =>
-        currentOperationID = generateOperatorIDs(p.plan, currentOperationID, visited,
+        currentOperationID = generateOperatorIDs(p.plan, currentOperationID, idMap,
           reusedExchanges, addReusedExchanges)
         setOpId(p)
       case other: QueryPlan[_] =>
         setOpId(other)
         currentOperationID = other.innerChildren.foldLeft(currentOperationID) {
-          (curId, plan) => generateOperatorIDs(plan, curId, visited, reusedExchanges,
+          (curId, plan) => generateOperatorIDs(plan, curId, idMap, reusedExchanges,
             addReusedExchanges)
         }
     }
@@ -241,7 +244,7 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
     }
 
     def collectOperatorWithID(plan: QueryPlan[_]): Unit = {
-      plan.getTagValue(QueryPlan.OP_ID_TAG).foreach { id =>
+      Option(ExplainUtils.localIdMap.get().get(plan)).foreach { id =>
         if (collectedOperators.add(id)) operators += plan
       }
     }
@@ -334,20 +337,6 @@ object ExplainUtils extends AdaptiveSparkPlanHelper {
    * `operationId` tag value.
    */
   def getOpId(plan: QueryPlan[_]): String = {
-    plan.getTagValue(QueryPlan.OP_ID_TAG).map(v => s"$v").getOrElse("unknown")
-  }
-
-  def removeTags(plan: QueryPlan[_]): Unit = {
-    def remove(p: QueryPlan[_], children: Seq[QueryPlan[_]]): Unit = {
-      p.unsetTagValue(QueryPlan.OP_ID_TAG)
-      p.unsetTagValue(QueryPlan.CODEGEN_ID_TAG)
-      children.foreach(removeTags)
-    }
-
-    plan foreach {
-      case p: AdaptiveSparkPlanExec => remove(p, Seq(p.executedPlan, p.initialPlan))
-      case p: QueryStageExec => remove(p, Seq(p.plan))
-      case plan: QueryPlan[_] => remove(plan, plan.innerChildren)
-    }
+    Option(ExplainUtils.localIdMap.get().get(plan)).map(v => s"$v").getOrElse("unknown")
   }
 }

From 15e6369e946bd04ddf9e1039909fe97c60d35504 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Mon, 17 Jun 2024 11:19:58 -0700
Subject: [PATCH 732/986] [SPARK-48642][CORE] False SparkOutOfMemoryError
 caused by killing task on spilling

### What changes were proposed in this pull request?

Throw `RuntimeException` instead of `SparkOutOfMemoryError` when underlying calls throw `InterruptedIOException` in `TaskMemoryManager#trySpillAndAcquire`

### Why are the changes needed?

A false `SparkOutOfMemoryError` case was identified in our production Spark jobs, and it is similar to SPARK-20250

```
2024-06-17 06:03:20 CST Executor INFO - Executor is trying to kill task 1580.1 in stage 48.0 (TID 59486), reason: another attempt succeeded
2024-06-17 06:03:20 CST TaskMemoryManager ERROR - error while calling spill() on org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter7cfefcb7
java.io.InterruptedIOException: null
	at org.apache.spark.io.ReadAheadInputStream.waitForAsyncReadComplete(ReadAheadInputStream.java:234) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.io.ReadAheadInputStream.read(ReadAheadInputStream.java:272) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.io.ReadAheadInputStream.read(ReadAheadInputStream.java:251) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at java.io.DataInputStream.readInt(DataInputStream.java:393) ~[?:?]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeSorterSpillReader.<init>(UnsafeSorterSpillReader.java:80) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeSorterSpillWriter.getReader(UnsafeSorterSpillWriter.java:159) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter$SpillableIterator.spill(UnsafeExternalSorter.java:626) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.spill(UnsafeExternalSorter.java:204) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.TaskMemoryManager.trySpillAndAcquire(TaskMemoryManager.java:227) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.TaskMemoryManager.acquireExecutionMemory(TaskMemoryManager.java:190) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:317) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:116) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:431) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.allocateMemoryForRecordIfNecessary(UnsafeExternalSorter.java:450) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:485) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:138) ~[spark-sql_2.12-3.3.1.45.jar:3.3.1.45]
	...
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:332) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.Task.run(Task.scala:136) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1508) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) ~[?:?]
	at java.lang.Thread.run(Thread.java:833) ~[?:?]
Caused by: java.lang.InterruptedException
	at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:1638) ~[?:?]
	at org.apache.spark.io.ReadAheadInputStream.waitForAsyncReadComplete(ReadAheadInputStream.java:231) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	... 111 more
2024-06-17 06:03:21 CST Executor ERROR - Exception in task 1580.1 in stage 48.0 (TID 59486)
org.apache.spark.memory.SparkOutOfMemoryError: error while calling spill() on org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter7cfefcb7 : null
	at org.apache.spark.memory.TaskMemoryManager.trySpillAndAcquire(TaskMemoryManager.java:253) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.TaskMemoryManager.acquireExecutionMemory(TaskMemoryManager.java:190) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:317) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:116) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:431) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.allocateMemoryForRecordIfNecessary(UnsafeExternalSorter.java:450) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:485) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:138) ~[spark-sql_2.12-3.3.1.45.jar:3.3.1.45]
	...
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:332) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.scheduler.Task.run(Task.scala:136) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1508) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) ~[spark-core_2.12-3.3.1.45.jar:3.3.1.45]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) ~[?:?]
	at java.lang.Thread.run(Thread.java:833) ~[?:?]
```

### Does this PR introduce _any_ user-facing change?

Yes, the killing task on spilling won't report a false `SparkOutOfMemoryError`, so that the killed task status is KILLED instead of FAILED.

### How was this patch tested?

Existing tests to ensure the change breaks nothing.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47000 from pan3793/SPARK-48642.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 00a96bb42ec69793f6251bf718d997e21e87c824)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../main/java/org/apache/spark/memory/TaskMemoryManager.java   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java b/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
index 83352611770fd..08c080f5a5a1d 100644
--- a/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
+++ b/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
@@ -18,6 +18,7 @@
 package org.apache.spark.memory;
 
 import javax.annotation.concurrent.GuardedBy;
+import java.io.InterruptedIOException;
 import java.io.IOException;
 import java.nio.channels.ClosedByInterruptException;
 import java.util.Arrays;
@@ -242,7 +243,7 @@ private long trySpillAndAcquire(
         cList.remove(idx);
         return 0;
       }
-    } catch (ClosedByInterruptException e) {
+    } catch (ClosedByInterruptException | InterruptedIOException e) {
       // This called by user to kill a task (e.g: speculative task).
       logger.error("error while calling spill() on " + consumerToSpill, e);
       throw new RuntimeException(e.getMessage());

From a3f4cc715077a190209136251d39b1ba4befe0b3 Mon Sep 17 00:00:00 2001
From: Uros Stankovic <uros.stankovic@databricks.com>
Date: Mon, 17 Jun 2024 11:37:38 -0700
Subject: [PATCH 733/986] [SPARK-48286][SQL][3.5] Fix column default value
 check - Add error class

### What changes were proposed in this pull request?
Add error class INVALID_DEFAULT_VALUE.NOT_CONSTANT to fix compile issue we made by merging following PR https://github.com/apache/spark/pull/46594 into 3.5 branch

### Why are the changes needed?
To unblock compilation of branch 3.5

### Does this PR introduce _any_ user-facing change?
Same as original PR

### How was this patch tested?
Original PR had the tests

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46978 from urosstan-db/SPARK-48286-Add-default-value-not-foldable-error.

Authored-by: Uros Stankovic <uros.stankovic@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../src/main/resources/error/error-classes.json     |  5 +++++
 ...-conditions-invalid-default-value-error-class.md |  4 ++++
 .../spark/sql/errors/QueryCompilationErrors.scala   | 13 +++++++++++++
 .../spark/sql/connector/DataSourceV2SQLSuite.scala  |  1 -
 4 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index b9d4c2c297f84..f1943a8ff3e04 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -1292,6 +1292,11 @@
           "which requires <expectedType> type, but the statement provided a value of incompatible <actualType> type."
         ]
       },
+      "NOT_CONSTANT" : {
+        "message" : [
+          "which is not a constant expression whose equivalent value is known at query planning time."
+        ]
+      },
       "SUBQUERY_EXPRESSION" : {
         "message" : [
           "which contains subquery expressions."
diff --git a/docs/sql-error-conditions-invalid-default-value-error-class.md b/docs/sql-error-conditions-invalid-default-value-error-class.md
index 466b5a9274cad..92c70ce69fc5f 100644
--- a/docs/sql-error-conditions-invalid-default-value-error-class.md
+++ b/docs/sql-error-conditions-invalid-default-value-error-class.md
@@ -29,6 +29,10 @@ This error class has the following derived error classes:
 
 which requires `<expectedType>` type, but the statement provided a value of incompatible `<actualType>` type.
 
+## NOT_CONSTANT
+
+which is not a constant expression whose equivalent value is known at query planning time.
+
 ## SUBQUERY_EXPRESSION
 
 which contains subquery expressions.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index a78e092c4bfa9..ec58298babdb7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
@@ -3406,6 +3406,19 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
         "defaultValue" -> defaultValue))
   }
 
+  def defaultValueNotConstantError(
+      statement: String,
+      colName: String,
+      defaultValue: String): Throwable = {
+    new AnalysisException(
+      errorClass = "INVALID_DEFAULT_VALUE.NOT_CONSTANT",
+      messageParameters = Map(
+        "statement" -> toSQLStmt(statement),
+        "colName" -> toSQLId(colName),
+        "defaultValue" -> defaultValue
+      ))
+  }
+
   def nullableColumnOrFieldError(name: Seq[String]): Throwable = {
     new AnalysisException(
       errorClass = "NULLABLE_COLUMN_OR_FIELD",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index d976e4465ff91..6df71d08ef726 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3315,7 +3315,6 @@ class DataSourceV2SQLSuiteV1Filter
           // Rand function is not foldable
           spark.sql(s"ALTER TABLE tab ADD COLUMN col2 DOUBLE DEFAULT rand()")
         }
-        assert(exception.getSqlState == "42623")
         assert(exception.errorClass.get == "INVALID_DEFAULT_VALUE.NOT_CONSTANT")
         assert(exception.messageParameters("colName") == "`col2`")
         assert(exception.messageParameters("defaultValue") == "rand()")

From 145c045654d7b8e3738c1bbfe83a58d087fbef24 Mon Sep 17 00:00:00 2001
From: JacobZheng0927 <zsh517559523@163.com>
Date: Tue, 18 Jun 2024 00:05:26 -0500
Subject: [PATCH 734/986] [SPARK-47910][CORE] close stream when
 DiskBlockObjectWriter closeResources to avoid memory leak

### What changes were proposed in this pull request?
close stream when DiskBlockObjectWriter closeResources to avoid memory leak

### Why are the changes needed?
[SPARK-34647](https://issues.apache.org/jira/browse/SPARK-34647) replaced the ZstdInputStream with ZstdInputStreamNoFinalizer. This meant that all usages of CompressionCodec.compressedOutputStream would need to manually close the stream as this would no longer be handled by the finalizer mechanism.
When using zstd for shuffle write compression, if for some reason the execution of this process is interrupted(eg. enable spark.sql.execution.interruptOnCancel and cancel Job). The memory used by `ZstdInputStreamNoFinalizer` may not be freed, causing a memory leak.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
#### Spark Shell Configuration
```
$> export SPARK_SUBMIT_OPTS="-XX:+AlwaysPreTouch -Xms1g"
$> $SPARK_HOME/bin/spark-shell --conf spark.io.compression.codec=zstd
```

#### Test Script
```scala
import java.util.concurrent.TimeUnit
import scala.concurrent.Future
import scala.concurrent.ExecutionContext.Implicits.global
import scala.util.Random

sc.setJobGroup("jobA", "this is a job to be cancelled", interruptOnCancel = true)
(1 to 50).foreach { batch => {
  val jobA = Future {
    val df1 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d")
    val df2 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d")
    df1.join(df2,"b").show()  }
  Thread.sleep(5000)
  sc.cancelJobGroup("jobA")
}}
```

#### Memory Monitor
```
$> while true; do echo \"$(date +%Y-%m-%d' '%H:%M:%S)\",$(pmap -x <PID> | grep "total kB" | awk '{print $4}'); sleep 10; done;
```

#### Results
##### Before
```
"2024-05-13 16:54:23",1332384
"2024-05-13 16:54:33",1417112
"2024-05-13 16:54:43",2211684
"2024-05-13 16:54:53",3060820
"2024-05-13 16:55:03",3850444
"2024-05-13 16:55:14",4631744
"2024-05-13 16:55:24",5317200
"2024-05-13 16:55:34",6019464
"2024-05-13 16:55:44",6489180
"2024-05-13 16:55:54",7255548
"2024-05-13 16:56:05",7718728
"2024-05-13 16:56:15",8388392
"2024-05-13 16:56:25",8927636
"2024-05-13 16:56:36",9473412
"2024-05-13 16:56:46",10000380
"2024-05-13 16:56:56",10344024
"2024-05-13 16:57:07",10734204
"2024-05-13 16:57:17",11211900
"2024-05-13 16:57:27",11665524
"2024-05-13 16:57:38",12268976
"2024-05-13 16:57:48",12896264
"2024-05-13 16:57:58",13572244
"2024-05-13 16:58:09",14252416
"2024-05-13 16:58:19",14915560
"2024-05-13 16:58:30",15484196
"2024-05-13 16:58:40",16170324
```

##### After
```
"2024-05-13 16:35:44",1355428
"2024-05-13 16:35:54",1391028
"2024-05-13 16:36:04",1673720
"2024-05-13 16:36:14",2103716
"2024-05-13 16:36:24",2129876
"2024-05-13 16:36:35",2166412
"2024-05-13 16:36:45",2177672
"2024-05-13 16:36:55",2188340
"2024-05-13 16:37:05",2190688
"2024-05-13 16:37:15",2195168
"2024-05-13 16:37:26",2199296
"2024-05-13 16:37:36",2228052
"2024-05-13 16:37:46",2238104
"2024-05-13 16:37:56",2260624
"2024-05-13 16:38:06",2307184
"2024-05-13 16:38:16",2331140
"2024-05-13 16:38:27",2323388
"2024-05-13 16:38:37",2357552
"2024-05-13 16:38:47",2352948
"2024-05-13 16:38:57",2364744
"2024-05-13 16:39:07",2368528
"2024-05-13 16:39:18",2385492
"2024-05-13 16:39:28",2389184
"2024-05-13 16:39:38",2388060
"2024-05-13 16:39:48",2388336
"2024-05-13 16:39:58",2386916
```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #46131 from JacobZheng0927/zstdMemoryLeak.

Authored-by: JacobZheng0927 <zsh517559523@163.com>
Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com>
(cherry picked from commit e265c6041aa2c29d73647b7bd69012c1dc152a1c)
Signed-off-by: Mridul Muralidharan <mridulatgmail.com>
---
 .../spark/storage/DiskBlockObjectWriter.scala | 49 ++++++++---
 .../storage/DiskBlockObjectWriterSuite.scala  | 82 ++++++++++++++++++-
 2 files changed, 114 insertions(+), 17 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala b/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
index f8bd73e65617f..5110870b4faca 100644
--- a/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
+++ b/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
@@ -125,6 +125,12 @@ private[spark] class DiskBlockObjectWriter(
    */
   private var numRecordsCommitted = 0L
 
+  // For testing only.
+  private[storage] def getSerializerWrappedStream: OutputStream = bs
+
+  // For testing only.
+  private[storage] def getSerializationStream: SerializationStream = objOut
+
   /**
    * Set the checksum that the checksumOutputStream should use
    */
@@ -173,19 +179,36 @@ private[spark] class DiskBlockObjectWriter(
    * Should call after committing or reverting partial writes.
    */
   private def closeResources(): Unit = {
-    if (initialized) {
-      Utils.tryWithSafeFinally {
-        mcs.manualClose()
-      } {
-        channel = null
-        mcs = null
-        bs = null
-        fos = null
-        ts = null
-        objOut = null
-        initialized = false
-        streamOpen = false
-        hasBeenClosed = true
+    try {
+      if (streamOpen) {
+        Utils.tryWithSafeFinally {
+          if (null != objOut) objOut.close()
+          bs = null
+        } {
+          objOut = null
+          if (null != bs) bs.close()
+          bs = null
+        }
+      }
+    } catch {
+      case e: IOException =>
+        logInfo(log"Exception occurred while closing the output stream" +
+          log"${MDC(ERROR, e.getMessage)}")
+    } finally {
+      if (initialized) {
+        Utils.tryWithSafeFinally {
+          mcs.manualClose()
+        } {
+          channel = null
+          mcs = null
+          bs = null
+          fos = null
+          ts = null
+          objOut = null
+          initialized = false
+          streamOpen = false
+          hasBeenClosed = true
+        }
       }
     }
   }
diff --git a/core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala b/core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala
index 70a57eed07acd..4352436c872fe 100644
--- a/core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala
@@ -16,11 +16,14 @@
  */
 package org.apache.spark.storage
 
-import java.io.File
+import java.io.{File, InputStream, OutputStream}
+import java.nio.ByteBuffer
+
+import scala.reflect.ClassTag
 
 import org.apache.spark.{SparkConf, SparkException, SparkFunSuite}
 import org.apache.spark.executor.ShuffleWriteMetrics
-import org.apache.spark.serializer.{JavaSerializer, SerializerManager}
+import org.apache.spark.serializer.{DeserializationStream, JavaSerializer, SerializationStream, Serializer, SerializerInstance, SerializerManager}
 import org.apache.spark.util.Utils
 
 class DiskBlockObjectWriterSuite extends SparkFunSuite {
@@ -43,10 +46,14 @@ class DiskBlockObjectWriterSuite extends SparkFunSuite {
   private def createWriter(): (DiskBlockObjectWriter, File, ShuffleWriteMetrics) = {
     val file = new File(tempDir, "somefile")
     val conf = new SparkConf()
-    val serializerManager = new SerializerManager(new JavaSerializer(conf), conf)
+    val serializerManager = new CustomSerializerManager(new JavaSerializer(conf), conf, None)
     val writeMetrics = new ShuffleWriteMetrics()
     val writer = new DiskBlockObjectWriter(
-      file, serializerManager, new JavaSerializer(new SparkConf()).newInstance(), 1024, true,
+      file,
+      serializerManager,
+      new CustomJavaSerializer(new SparkConf()).newInstance(),
+      1024,
+      true,
       writeMetrics)
     (writer, file, writeMetrics)
   }
@@ -196,9 +203,76 @@ class DiskBlockObjectWriterSuite extends SparkFunSuite {
     for (i <- 1 to 500) {
       writer.write(i, i)
     }
+
+    val bs = writer.getSerializerWrappedStream.asInstanceOf[OutputStreamWithCloseDetecting]
+    val objOut = writer.getSerializationStream.asInstanceOf[SerializationStreamWithCloseDetecting]
+
     writer.closeAndDelete()
     assert(!file.exists())
     assert(writeMetrics.bytesWritten == 0)
     assert(writeMetrics.recordsWritten == 0)
+    assert(bs.isClosed)
+    assert(objOut.isClosed)
+  }
+}
+
+trait CloseDetecting {
+  var isClosed = false
+}
+
+class OutputStreamWithCloseDetecting(outputStream: OutputStream)
+    extends OutputStream
+    with CloseDetecting {
+  override def write(b: Int): Unit = outputStream.write(b)
+
+  override def close(): Unit = {
+    isClosed = true
+    outputStream.close()
+  }
+}
+
+class CustomSerializerManager(
+    defaultSerializer: Serializer,
+    conf: SparkConf,
+    encryptionKey: Option[Array[Byte]])
+    extends SerializerManager(defaultSerializer, conf, encryptionKey) {
+  override def wrapStream(blockId: BlockId, s: OutputStream): OutputStream = {
+    new OutputStreamWithCloseDetecting(wrapForCompression(blockId, wrapForEncryption(s)))
+  }
+}
+
+class CustomJavaSerializer(conf: SparkConf) extends JavaSerializer(conf) {
+
+  override def newInstance(): SerializerInstance = {
+    new CustomJavaSerializerInstance(super.newInstance())
   }
 }
+
+class SerializationStreamWithCloseDetecting(serializationStream: SerializationStream)
+    extends SerializationStream with CloseDetecting {
+
+  override def close(): Unit = {
+    isClosed = true
+    serializationStream.close()
+  }
+
+  override def writeObject[T: ClassTag](t: T): SerializationStream =
+    serializationStream.writeObject(t)
+
+  override def flush(): Unit = serializationStream.flush()
+}
+
+class CustomJavaSerializerInstance(instance: SerializerInstance) extends SerializerInstance {
+  override def serializeStream(s: OutputStream): SerializationStream =
+    new SerializationStreamWithCloseDetecting(instance.serializeStream(s))
+
+  override def serialize[T: ClassTag](t: T): ByteBuffer = instance.serialize(t)
+
+  override def deserialize[T: ClassTag](bytes: ByteBuffer): T = instance.deserialize(bytes)
+
+  override def deserialize[T: ClassTag](bytes: ByteBuffer, loader: ClassLoader): T =
+    instance.deserialize(bytes, loader)
+
+  override def deserializeStream(s: InputStream): DeserializationStream =
+    instance.deserializeStream(s)
+}

From f57af38c87e3c187204a50b6cd58d71141099b91 Mon Sep 17 00:00:00 2001
From: JacobZheng0927 <zsh517559523@163.com>
Date: Wed, 19 Jun 2024 17:10:08 +0800
Subject: [PATCH 735/986] [SPARK-47910][CORE][3.5][FOLLOWUP] Remove the use of
 MDC

### What changes were proposed in this pull request?
The pull request https://github.com/apache/spark/pull/46131 was merged into the 3.5 branch. The log output in this PR uses MDC, which is not yet supported in version 3.5.

### Why are the changes needed?
Remove the use of MDC.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
No need.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47022 from JacobZheng0927/SPARK-47910-3.5.

Authored-by: JacobZheng0927 <zsh517559523@163.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../scala/org/apache/spark/storage/DiskBlockObjectWriter.scala | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala b/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
index 5110870b4faca..ebc10300ef471 100644
--- a/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
+++ b/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala
@@ -192,8 +192,7 @@ private[spark] class DiskBlockObjectWriter(
       }
     } catch {
       case e: IOException =>
-        logInfo(log"Exception occurred while closing the output stream" +
-          log"${MDC(ERROR, e.getMessage)}")
+        logInfo("Exception occurred while closing the output stream: " + e.getMessage)
     } finally {
       if (initialized) {
         Utils.tryWithSafeFinally {

From 4741f7a339b66bb8abf4f4e947972c3c27a48e57 Mon Sep 17 00:00:00 2001
From: jackylee-ch <lijunqing@baidu.com>
Date: Mon, 24 Jun 2024 15:57:21 +0800
Subject: [PATCH 736/986] [SPARK-48498][SQL][3.5] Always do char padding in
 predicates

### What changes were proposed in this pull request?

For some data sources, CHAR type padding is not applied on both the write and read sides (by disabling `spark.sql.readSideCharPadding`), as a different SQL flavor, which is similar to MySQL: https://dev.mysql.com/doc/refman/8.0/en/char.html

However, there is a bug in Spark that we always pad the string literal when comparing CHAR type and STRING literals, which assumes the CHAR type columns are always padded, either on the write side or read side. This is not always true.

This PR makes Spark always pad the CHAR type columns when comparing with string literals, to satisfy the CHAR type semantic.

### Why are the changes needed?

bug fix if people disable read side char padding

### Does this PR introduce _any_ user-facing change?

Yes. After this PR, comparing CHAR type with STRING literals follows the CHAR semantic, while before it mostly returns false.

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46958 from jackylee-ch/backport_char_padding_fix_to_3.5.

Lead-authored-by: jackylee-ch <lijunqing@baidu.com>
Co-authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/internal/SQLConf.scala   |  8 ++++
 .../datasources/ApplyCharTypePadding.scala    | 39 ++++++++++++++-----
 .../spark/sql/CharVarcharTestSuite.scala      | 28 +++++++++++++
 .../apache/spark/sql/PlanStabilitySuite.scala |  8 ++--
 4 files changed, 70 insertions(+), 13 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index ba27a03fdc311..275ec71cb0615 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4175,6 +4175,14 @@ object SQLConf {
     .booleanConf
     .createWithDefault(true)
 
+  val LEGACY_NO_CHAR_PADDING_IN_PREDICATE = buildConf("spark.sql.legacy.noCharPaddingInPredicate")
+    .internal()
+    .doc("When true, Spark will not apply char type padding for CHAR type columns in string " +
+      s"comparison predicates, when '${READ_SIDE_CHAR_PADDING.key}' is false.")
+    .version("3.5.2")
+    .booleanConf
+    .createWithDefault(false)
+
   val CLI_PRINT_HEADER =
     buildConf("spark.sql.cli.print.header")
      .doc("When set to true, spark-sql CLI prints the names of the columns in query output.")
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
index b5bf337a5a2e6..1b7b0d702ab98 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
@@ -24,6 +24,7 @@ import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.trees.TreePattern.{BINARY_COMPARISON, IN}
 import org.apache.spark.sql.catalyst.util.CharVarcharUtils
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{CharType, Metadata, StringType}
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -66,9 +67,10 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
             r.copy(dataCols = cleanedDataCols, partitionCols = cleanedPartCols)
           })
       }
-      paddingForStringComparison(newPlan)
+      paddingForStringComparison(newPlan, padCharCol = false)
     } else {
-      paddingForStringComparison(plan)
+      paddingForStringComparison(
+        plan, padCharCol = !conf.getConf(SQLConf.LEGACY_NO_CHAR_PADDING_IN_PREDICATE))
     }
   }
 
@@ -90,7 +92,7 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
     }
   }
 
-  private def paddingForStringComparison(plan: LogicalPlan): LogicalPlan = {
+  private def paddingForStringComparison(plan: LogicalPlan, padCharCol: Boolean): LogicalPlan = {
     plan.resolveOperatorsUpWithPruning(_.containsAnyPattern(BINARY_COMPARISON, IN)) {
       case operator => operator.transformExpressionsUpWithPruning(
         _.containsAnyPattern(BINARY_COMPARISON, IN)) {
@@ -99,12 +101,12 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
         // String literal is treated as char type when it's compared to a char type column.
         // We should pad the shorter one to the longer length.
         case b @ BinaryComparison(e @ AttrOrOuterRef(attr), lit) if lit.foldable =>
-          padAttrLitCmp(e, attr.metadata, lit).map { newChildren =>
+          padAttrLitCmp(e, attr.metadata, padCharCol, lit).map { newChildren =>
             b.withNewChildren(newChildren)
           }.getOrElse(b)
 
         case b @ BinaryComparison(lit, e @ AttrOrOuterRef(attr)) if lit.foldable =>
-          padAttrLitCmp(e, attr.metadata, lit).map { newChildren =>
+          padAttrLitCmp(e, attr.metadata, padCharCol, lit).map { newChildren =>
             b.withNewChildren(newChildren.reverse)
           }.getOrElse(b)
 
@@ -117,9 +119,10 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
               val literalCharLengths = literalChars.map(_.numChars())
               val targetLen = (length +: literalCharLengths).max
               Some(i.copy(
-                value = addPadding(e, length, targetLen),
+                value = addPadding(e, length, targetLen, alwaysPad = padCharCol),
                 list = list.zip(literalCharLengths).map {
-                  case (lit, charLength) => addPadding(lit, charLength, targetLen)
+                  case (lit, charLength) =>
+                    addPadding(lit, charLength, targetLen, alwaysPad = false)
                 } ++ nulls.map(Literal.create(_, StringType))))
             case _ => None
           }.getOrElse(i)
@@ -162,6 +165,7 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
   private def padAttrLitCmp(
       expr: Expression,
       metadata: Metadata,
+      padCharCol: Boolean,
       lit: Expression): Option[Seq[Expression]] = {
     if (expr.dataType == StringType) {
       CharVarcharUtils.getRawType(metadata).flatMap {
@@ -174,7 +178,14 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
             if (length < stringLitLen) {
               Some(Seq(StringRPad(expr, Literal(stringLitLen)), lit))
             } else if (length > stringLitLen) {
-              Some(Seq(expr, StringRPad(lit, Literal(length))))
+              val paddedExpr = if (padCharCol) {
+                StringRPad(expr, Literal(length))
+              } else {
+                expr
+              }
+              Some(Seq(paddedExpr, StringRPad(lit, Literal(length))))
+            } else if (padCharCol)  {
+              Some(Seq(StringRPad(expr, Literal(length)), lit))
             } else {
               None
             }
@@ -186,7 +197,15 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
     }
   }
 
-  private def addPadding(expr: Expression, charLength: Int, targetLength: Int): Expression = {
-    if (targetLength > charLength) StringRPad(expr, Literal(targetLength)) else expr
+  private def addPadding(
+      expr: Expression,
+      charLength: Int,
+      targetLength: Int,
+      alwaysPad: Boolean): Expression = {
+    if (targetLength > charLength) {
+      StringRPad(expr, Literal(targetLength))
+    } else if (alwaysPad) {
+      StringRPad(expr, Literal(charLength))
+    } else expr
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
index 4a7632486c046..6732e8d41fea4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
@@ -1064,6 +1064,34 @@ class FileSourceCharVarcharTestSuite extends CharVarcharTestSuite with SharedSpa
       }
     }
   }
+
+  test("SPARK-48498: always do char padding in predicates") {
+    import testImplicits._
+    withSQLConf(SQLConf.READ_SIDE_CHAR_PADDING.key -> "false") {
+      withTempPath { dir =>
+        withTable("t") {
+          Seq(
+            "12" -> "12",
+            "12" -> "12 ",
+            "12 " -> "12",
+            "12 " -> "12 "
+          ).toDF("c1", "c2").write.format(format).save(dir.toString)
+          sql(s"CREATE TABLE t (c1 CHAR(3), c2 STRING) USING $format LOCATION '$dir'")
+          // Comparing CHAR column with STRING column directly compares the stored value.
+          checkAnswer(
+            sql("SELECT c1 = c2 FROM t"),
+            Seq(Row(true), Row(false), Row(false), Row(true))
+          )
+          // No matter the CHAR type value is padded or not in the storage, we should always pad it
+          // before comparison with STRING literals.
+          checkAnswer(
+            sql("SELECT c1 = '12', c1 = '12 ', c1 = '12  ' FROM t WHERE c2 = '12'"),
+            Seq(Row(true, true, true), Row(true, true, true))
+          )
+        }
+      }
+    }
+  }
 }
 
 class DSV2CharVarcharTestSuite extends CharVarcharTestSuite
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
index b5b3492269415..c26757c9cff70 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
@@ -256,9 +256,11 @@ trait PlanStabilitySuite extends DisableAdaptiveExecutionSuite {
   protected def testQuery(tpcdsGroup: String, query: String, suffix: String = ""): Unit = {
     val queryString = resourceToString(s"$tpcdsGroup/$query.sql",
       classLoader = Thread.currentThread().getContextClassLoader)
-    // Disable char/varchar read-side handling for better performance.
-    withSQLConf(SQLConf.READ_SIDE_CHAR_PADDING.key -> "false",
-        SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "10MB") {
+    withSQLConf(
+      // Disable char/varchar read-side handling for better performance.
+      SQLConf.READ_SIDE_CHAR_PADDING.key -> "false",
+      SQLConf.LEGACY_NO_CHAR_PADDING_IN_PREDICATE.key -> "true",
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "10MB") {
       val qe = sql(queryString).queryExecution
       val plan = qe.executedPlan
       val explain = normalizeLocation(normalizeIds(qe.explainString(FormattedMode)))

From 0db5bdecfa6cbfff1be7690bb783a858989776b9 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 24 Jun 2024 19:25:56 +0900
Subject: [PATCH 737/986] [SPARK-48639][CONNECT][PYTHON] Add Origin to
 Relation.RelationCommon

This PR proposes to add `Origin` (from https://github.com/apache/spark/pull/46789) to `Relation.RelationCommon`

To have the common protobuf message to keep the source code info.

No. This is not used.

CI should validate protobuf definition, and exiting tests should pass.

No.

Closes #47024 from HyukjinKwon/SPARK-48639.

Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 09cb5921b7d88e63e172aa6aea370319e8bbd2fa)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../protobuf/spark/connect/relations.proto    |   4 +-
 .../sql/connect/proto/relations_pb2.py        | 264 +++++++++---------
 .../sql/connect/proto/relations_pb2.pyi       |   9 +-
 3 files changed, 135 insertions(+), 142 deletions(-)

diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
index f7f1315ede0f8..8b384728983bd 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
@@ -103,8 +103,8 @@ message Unknown {}
 
 // Common metadata of all relations.
 message RelationCommon {
-  // (Required) Shared relation metadata.
-  string source_info = 1;
+  // (Optional) Shared relation metadata.
+  reserved 1;
 
   // (Optional) A per-client globally unique id for a given connect plan.
   optional int64 plan_id = 2;
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py
index 3f7e57949373b..7dd494db86959 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.py
+++ b/python/pyspark/sql/connect/proto/relations_pb2.py
@@ -35,7 +35,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xe1\x18\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n 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 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -61,135 +61,135 @@
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     _UNKNOWN._serialized_end = 3345
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-    _SQL._serialized_end = 3672
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-    _READ._serialized_end = 4338
-    _READ_NAMEDTABLE._serialized_start = 3853
-    _READ_NAMEDTABLE._serialized_end = 4045
-    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3987
-    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 4045
-    _READ_DATASOURCE._serialized_start = 4048
-    _READ_DATASOURCE._serialized_end = 4325
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3987
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 4045
-    _PROJECT._serialized_start = 4340
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-    _FILTER._serialized_start = 4459
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-    _JOIN._serialized_start = 4574
-    _JOIN._serialized_end = 5235
-    _JOIN_JOINDATATYPE._serialized_start = 4913
-    _JOIN_JOINDATATYPE._serialized_end = 5005
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-    _LIMIT._serialized_start = 5719
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-    _AGGREGATE._serialized_start = 5956
-    _AGGREGATE._serialized_end = 6538
-    _AGGREGATE_PIVOT._serialized_start = 6295
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-    _SORT._serialized_start = 6541
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-    _STATFREQITEMS._serialized_start = 8943
-    _STATFREQITEMS._serialized_end = 9068
-    _STATSAMPLEBY._serialized_start = 9071
-    _STATSAMPLEBY._serialized_end = 9380
-    _STATSAMPLEBY_FRACTION._serialized_start = 9272
-    _STATSAMPLEBY_FRACTION._serialized_end = 9371
-    _NAFILL._serialized_start = 9383
-    _NAFILL._serialized_end = 9517
-    _NADROP._serialized_start = 9520
-    _NADROP._serialized_end = 9654
-    _NAREPLACE._serialized_start = 9657
-    _NAREPLACE._serialized_end = 9953
-    _NAREPLACE_REPLACEMENT._serialized_start = 9812
-    _NAREPLACE_REPLACEMENT._serialized_end = 9953
-    _TODF._serialized_start = 9955
-    _TODF._serialized_end = 10043
-    _WITHCOLUMNSRENAMED._serialized_start = 10046
-    _WITHCOLUMNSRENAMED._serialized_end = 10285
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10218
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10285
-    _WITHCOLUMNS._serialized_start = 10287
-    _WITHCOLUMNS._serialized_end = 10406
-    _WITHWATERMARK._serialized_start = 10409
-    _WITHWATERMARK._serialized_end = 10543
-    _HINT._serialized_start = 10546
-    _HINT._serialized_end = 10678
-    _UNPIVOT._serialized_start = 10681
-    _UNPIVOT._serialized_end = 11008
-    _UNPIVOT_VALUES._serialized_start = 10938
-    _UNPIVOT_VALUES._serialized_end = 10997
-    _TOSCHEMA._serialized_start = 11010
-    _TOSCHEMA._serialized_end = 11116
-    _REPARTITIONBYEXPRESSION._serialized_start = 11119
-    _REPARTITIONBYEXPRESSION._serialized_end = 11322
-    _MAPPARTITIONS._serialized_start = 11325
-    _MAPPARTITIONS._serialized_end = 11506
-    _GROUPMAP._serialized_start = 11509
-    _GROUPMAP._serialized_end = 12144
-    _COGROUPMAP._serialized_start = 12147
-    _COGROUPMAP._serialized_end = 12673
-    _APPLYINPANDASWITHSTATE._serialized_start = 12676
-    _APPLYINPANDASWITHSTATE._serialized_end = 13033
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13036
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13280
-    _PYTHONUDTF._serialized_start = 13283
-    _PYTHONUDTF._serialized_end = 13460
-    _COLLECTMETRICS._serialized_start = 13463
-    _COLLECTMETRICS._serialized_end = 13599
-    _PARSE._serialized_start = 13602
-    _PARSE._serialized_end = 13990
-    _PARSE_OPTIONSENTRY._serialized_start = 3987
-    _PARSE_OPTIONSENTRY._serialized_end = 4045
-    _PARSE_PARSEFORMAT._serialized_start = 13891
-    _PARSE_PARSEFORMAT._serialized_end = 13979
+    _RELATIONCOMMON._serialized_end = 3411
+    _SQL._serialized_start = 3414
+    _SQL._serialized_end = 3645
+    _SQL_ARGSENTRY._serialized_start = 3555
+    _SQL_ARGSENTRY._serialized_end = 3645
+    _READ._serialized_start = 3648
+    _READ._serialized_end = 4311
+    _READ_NAMEDTABLE._serialized_start = 3826
+    _READ_NAMEDTABLE._serialized_end = 4018
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3960
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 4018
+    _READ_DATASOURCE._serialized_start = 4021
+    _READ_DATASOURCE._serialized_end = 4298
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3960
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 4018
+    _PROJECT._serialized_start = 4313
+    _PROJECT._serialized_end = 4430
+    _FILTER._serialized_start = 4432
+    _FILTER._serialized_end = 4544
+    _JOIN._serialized_start = 4547
+    _JOIN._serialized_end = 5208
+    _JOIN_JOINDATATYPE._serialized_start = 4886
+    _JOIN_JOINDATATYPE._serialized_end = 4978
+    _JOIN_JOINTYPE._serialized_start = 4981
+    _JOIN_JOINTYPE._serialized_end = 5189
+    _SETOPERATION._serialized_start = 5211
+    _SETOPERATION._serialized_end = 5690
+    _SETOPERATION_SETOPTYPE._serialized_start = 5527
+    _SETOPERATION_SETOPTYPE._serialized_end = 5641
+    _LIMIT._serialized_start = 5692
+    _LIMIT._serialized_end = 5768
+    _OFFSET._serialized_start = 5770
+    _OFFSET._serialized_end = 5849
+    _TAIL._serialized_start = 5851
+    _TAIL._serialized_end = 5926
+    _AGGREGATE._serialized_start = 5929
+    _AGGREGATE._serialized_end = 6511
+    _AGGREGATE_PIVOT._serialized_start = 6268
+    _AGGREGATE_PIVOT._serialized_end = 6379
+    _AGGREGATE_GROUPTYPE._serialized_start = 6382
+    _AGGREGATE_GROUPTYPE._serialized_end = 6511
+    _SORT._serialized_start = 6514
+    _SORT._serialized_end = 6674
+    _DROP._serialized_start = 6677
+    _DROP._serialized_end = 6818
+    _DEDUPLICATE._serialized_start = 6821
+    _DEDUPLICATE._serialized_end = 7061
+    _LOCALRELATION._serialized_start = 7063
+    _LOCALRELATION._serialized_end = 7152
+    _CACHEDLOCALRELATION._serialized_start = 7154
+    _CACHEDLOCALRELATION._serialized_end = 7226
+    _CACHEDREMOTERELATION._serialized_start = 7228
+    _CACHEDREMOTERELATION._serialized_end = 7283
+    _SAMPLE._serialized_start = 7286
+    _SAMPLE._serialized_end = 7559
+    _RANGE._serialized_start = 7562
+    _RANGE._serialized_end = 7707
+    _SUBQUERYALIAS._serialized_start = 7709
+    _SUBQUERYALIAS._serialized_end = 7823
+    _REPARTITION._serialized_start = 7826
+    _REPARTITION._serialized_end = 7968
+    _SHOWSTRING._serialized_start = 7971
+    _SHOWSTRING._serialized_end = 8113
+    _HTMLSTRING._serialized_start = 8115
+    _HTMLSTRING._serialized_end = 8229
+    _STATSUMMARY._serialized_start = 8231
+    _STATSUMMARY._serialized_end = 8323
+    _STATDESCRIBE._serialized_start = 8325
+    _STATDESCRIBE._serialized_end = 8406
+    _STATCROSSTAB._serialized_start = 8408
+    _STATCROSSTAB._serialized_end = 8509
+    _STATCOV._serialized_start = 8511
+    _STATCOV._serialized_end = 8607
+    _STATCORR._serialized_start = 8610
+    _STATCORR._serialized_end = 8747
+    _STATAPPROXQUANTILE._serialized_start = 8750
+    _STATAPPROXQUANTILE._serialized_end = 8914
+    _STATFREQITEMS._serialized_start = 8916
+    _STATFREQITEMS._serialized_end = 9041
+    _STATSAMPLEBY._serialized_start = 9044
+    _STATSAMPLEBY._serialized_end = 9353
+    _STATSAMPLEBY_FRACTION._serialized_start = 9245
+    _STATSAMPLEBY_FRACTION._serialized_end = 9344
+    _NAFILL._serialized_start = 9356
+    _NAFILL._serialized_end = 9490
+    _NADROP._serialized_start = 9493
+    _NADROP._serialized_end = 9627
+    _NAREPLACE._serialized_start = 9630
+    _NAREPLACE._serialized_end = 9926
+    _NAREPLACE_REPLACEMENT._serialized_start = 9785
+    _NAREPLACE_REPLACEMENT._serialized_end = 9926
+    _TODF._serialized_start = 9928
+    _TODF._serialized_end = 10016
+    _WITHCOLUMNSRENAMED._serialized_start = 10019
+    _WITHCOLUMNSRENAMED._serialized_end = 10258
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10191
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10258
+    _WITHCOLUMNS._serialized_start = 10260
+    _WITHCOLUMNS._serialized_end = 10379
+    _WITHWATERMARK._serialized_start = 10382
+    _WITHWATERMARK._serialized_end = 10516
+    _HINT._serialized_start = 10519
+    _HINT._serialized_end = 10651
+    _UNPIVOT._serialized_start = 10654
+    _UNPIVOT._serialized_end = 10981
+    _UNPIVOT_VALUES._serialized_start = 10911
+    _UNPIVOT_VALUES._serialized_end = 10970
+    _TOSCHEMA._serialized_start = 10983
+    _TOSCHEMA._serialized_end = 11089
+    _REPARTITIONBYEXPRESSION._serialized_start = 11092
+    _REPARTITIONBYEXPRESSION._serialized_end = 11295
+    _MAPPARTITIONS._serialized_start = 11298
+    _MAPPARTITIONS._serialized_end = 11479
+    _GROUPMAP._serialized_start = 11482
+    _GROUPMAP._serialized_end = 12117
+    _COGROUPMAP._serialized_start = 12120
+    _COGROUPMAP._serialized_end = 12646
+    _APPLYINPANDASWITHSTATE._serialized_start = 12649
+    _APPLYINPANDASWITHSTATE._serialized_end = 13006
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13009
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13253
+    _PYTHONUDTF._serialized_start = 13256
+    _PYTHONUDTF._serialized_end = 13433
+    _COLLECTMETRICS._serialized_start = 13436
+    _COLLECTMETRICS._serialized_end = 13572
+    _PARSE._serialized_start = 13575
+    _PARSE._serialized_end = 13963
+    _PARSE_OPTIONSENTRY._serialized_start = 3960
+    _PARSE_OPTIONSENTRY._serialized_end = 4018
+    _PARSE_PARSEFORMAT._serialized_start = 13864
+    _PARSE_PARSEFORMAT._serialized_end = 13952
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi
index 007b92ef5f42d..1c0036afbc436 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -579,26 +579,19 @@ class RelationCommon(google.protobuf.message.Message):
 
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
-    SOURCE_INFO_FIELD_NUMBER: builtins.int
     PLAN_ID_FIELD_NUMBER: builtins.int
-    source_info: builtins.str
-    """(Required) Shared relation metadata."""
     plan_id: builtins.int
     """(Optional) A per-client globally unique id for a given connect plan."""
     def __init__(
         self,
         *,
-        source_info: builtins.str = ...,
         plan_id: builtins.int | None = ...,
     ) -> None: ...
     def HasField(
         self, field_name: typing_extensions.Literal["_plan_id", b"_plan_id", "plan_id", b"plan_id"]
     ) -> builtins.bool: ...
     def ClearField(
-        self,
-        field_name: typing_extensions.Literal[
-            "_plan_id", b"_plan_id", "plan_id", b"plan_id", "source_info", b"source_info"
-        ],
+        self, field_name: typing_extensions.Literal["_plan_id", b"_plan_id", "plan_id", b"plan_id"]
     ) -> None: ...
     def WhichOneof(
         self, oneof_group: typing_extensions.Literal["_plan_id", b"_plan_id"]

From 405b23b1aef889fad03bf4e3ced6d427dc9a43f4 Mon Sep 17 00:00:00 2001
From: Steve Weis <steve.weis@databricks.com>
Date: Thu, 27 Jun 2024 10:58:15 +0800
Subject: [PATCH 738/986] [SPARK-47172][CORE][3.5] Add support for AES-GCM for
 RPC encryption

### What changes were proposed in this pull request?

This change adds AES-GCM as an optional AES cipher mode for RPC encryption. The current default is using AES-CTR without any authentication. That would allow someone on the network to easily modify RPC contents on the wire and impact Spark behavior. See [SPARK-47172](https://issues.apache.org/jira/browse/SPARK-47172) for more details.

### Why are the changes needed?

The current default is using AES-CTR without any authentication. That would allow someone on the network to easily modify RPC contents on the wire and impact Spark behavior.

### Does this PR introduce _any_ user-facing change?

Yes, it adds an additional configuration flag is reflected in the documentation.

### How was this patch tested?

Existing unit tests are all ensured to pass. New unit tests are written to explicitly test GCM support and to verify that modifying ciphertext content will cause an exception and fail.

`build/sbt "network-common/test:testOnly"`
`build/sbt "network-common/test:testOnly org.apache.spark.network.crypto.AuthIntegrationSuite"` `build/sbt "network-common/test:testOnly org.apache.spark.network.crypto.AuthEngineSuite"`

### Was this patch authored or co-authored using generative AI tooling?

Nope.

Closes #47060 from sweisdb/SPARK-47172-3.5.

Authored-by: Steve Weis <steve.weis@databricks.com>
Signed-off-by: Yi Wu <yi.wu@databricks.com>
---
 .../spark/network/crypto/AuthEngine.java      |  21 +-
 .../network/crypto/CtrTransportCipher.java    | 381 ++++++++++++++++
 .../network/crypto/GcmTransportCipher.java    | 422 ++++++++++++++++++
 .../spark/network/crypto/TransportCipher.java | 374 +---------------
 .../util/ByteBufferWriteableChannel.java      |  61 +++
 .../spark/network/crypto/AuthEngineSuite.java | 203 ++-------
 .../network/crypto/AuthIntegrationSuite.java  |  79 ++--
 .../network/crypto/CtrAuthEngineSuite.java    | 178 ++++++++
 .../network/crypto/GcmAuthEngineSuite.java    | 343 ++++++++++++++
 .../network/crypto/TransportCipherSuite.java  |   4 +-
 docs/security.md                              |   9 +
 11 files changed, 1534 insertions(+), 541 deletions(-)
 create mode 100644 common/network-common/src/main/java/org/apache/spark/network/crypto/CtrTransportCipher.java
 create mode 100644 common/network-common/src/main/java/org/apache/spark/network/crypto/GcmTransportCipher.java
 create mode 100644 common/network-common/src/main/java/org/apache/spark/network/util/ByteBufferWriteableChannel.java
 create mode 100644 common/network-common/src/test/java/org/apache/spark/network/crypto/CtrAuthEngineSuite.java
 create mode 100644 common/network-common/src/test/java/org/apache/spark/network/crypto/GcmAuthEngineSuite.java

diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java b/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
index 14f0c23fd05fc..ee558bce7dab9 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/AuthEngine.java
@@ -45,6 +45,8 @@ class AuthEngine implements Closeable {
   public static final byte[] INPUT_IV_INFO = "inputIv".getBytes(UTF_8);
   public static final byte[] OUTPUT_IV_INFO = "outputIv".getBytes(UTF_8);
   private static final String MAC_ALGORITHM = "HMACSHA256";
+  private static final String LEGACY_CIPHER_ALGORITHM = "AES/CTR/NoPadding";
+  private static final String CIPHER_ALGORITHM = "AES/GCM/NoPadding";
   private static final int AES_GCM_KEY_SIZE_BYTES = 16;
   private static final byte[] EMPTY_TRANSCRIPT = new byte[0];
   private static final int UNSAFE_SKIP_HKDF_VERSION = 1;
@@ -227,12 +229,19 @@ private TransportCipher generateTransportCipher(
         OUTPUT_IV_INFO,  // This is the HKDF info field used to differentiate IV values
         AES_GCM_KEY_SIZE_BYTES);
     SecretKeySpec sessionKey = new SecretKeySpec(derivedKey, "AES");
-    return new TransportCipher(
-        cryptoConf,
-        conf.cipherTransformation(),
-        sessionKey,
-        isClient ? clientIv : serverIv,  // If it's the client, use the client IV first
-        isClient ? serverIv : clientIv);
+    if (LEGACY_CIPHER_ALGORITHM.equalsIgnoreCase(conf.cipherTransformation())) {
+      return new CtrTransportCipher(
+          cryptoConf,
+          sessionKey,
+          isClient ? clientIv : serverIv,  // If it's the client, use the client IV first
+          isClient ? serverIv : clientIv);
+    } else if (CIPHER_ALGORITHM.equalsIgnoreCase(conf.cipherTransformation())) {
+      return new GcmTransportCipher(sessionKey);
+    } else {
+      throw new IllegalArgumentException(
+              String.format("Unsupported cipher mode: %s. %s and %s are supported.",
+                      conf.cipherTransformation(), CIPHER_ALGORITHM, LEGACY_CIPHER_ALGORITHM));
+    }
   }
 
   private byte[] getTranscript(AuthMessage... encryptedPublicKeys) {
diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/CtrTransportCipher.java b/common/network-common/src/main/java/org/apache/spark/network/crypto/CtrTransportCipher.java
new file mode 100644
index 0000000000000..85b893751b39c
--- /dev/null
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/CtrTransportCipher.java
@@ -0,0 +1,381 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.crypto;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.nio.channels.ReadableByteChannel;
+import java.nio.channels.WritableByteChannel;
+import java.security.GeneralSecurityException;
+import java.util.Properties;
+import javax.crypto.spec.SecretKeySpec;
+import javax.crypto.spec.IvParameterSpec;
+
+import com.google.common.annotations.VisibleForTesting;
+import com.google.common.base.Preconditions;
+import io.netty.buffer.ByteBuf;
+import io.netty.buffer.Unpooled;
+import io.netty.channel.*;
+import org.apache.commons.crypto.stream.CryptoInputStream;
+import org.apache.commons.crypto.stream.CryptoOutputStream;
+
+import org.apache.spark.network.util.AbstractFileRegion;
+import org.apache.spark.network.util.ByteArrayReadableChannel;
+import org.apache.spark.network.util.ByteArrayWritableChannel;
+
+/**
+ * Cipher for encryption and decryption.
+ */
+public class CtrTransportCipher implements TransportCipher {
+  @VisibleForTesting
+  static final String ENCRYPTION_HANDLER_NAME = "CtrTransportEncryption";
+  private static final String DECRYPTION_HANDLER_NAME = "CtrTransportDecryption";
+  @VisibleForTesting
+  static final int STREAM_BUFFER_SIZE = 1024 * 32;
+
+  private final Properties conf;
+  private static final String CIPHER_ALGORITHM = "AES/CTR/NoPadding";
+  private final SecretKeySpec key;
+  private final byte[] inIv;
+  private final byte[] outIv;
+
+  public CtrTransportCipher(
+      Properties conf,
+      SecretKeySpec key,
+      byte[] inIv,
+      byte[] outIv) {
+    this.conf = conf;
+    this.key = key;
+    this.inIv = inIv;
+    this.outIv = outIv;
+  }
+
+  /*
+   * This method is for testing purposes only.
+   */
+  @VisibleForTesting
+  public String getKeyId() throws GeneralSecurityException {
+    return TransportCipherUtil.getKeyId(key);
+  }
+
+  @VisibleForTesting
+  SecretKeySpec getKey() {
+    return key;
+  }
+
+  /** The IV for the input channel (i.e. output channel of the remote side). */
+  public byte[] getInputIv() {
+    return inIv;
+  }
+
+  /** The IV for the output channel (i.e. input channel of the remote side). */
+  public byte[] getOutputIv() {
+    return outIv;
+  }
+
+  @VisibleForTesting
+  CryptoOutputStream createOutputStream(WritableByteChannel ch) throws IOException {
+    return new CryptoOutputStream(CIPHER_ALGORITHM, conf, ch, key, new IvParameterSpec(outIv));
+  }
+
+  @VisibleForTesting
+  CryptoInputStream createInputStream(ReadableByteChannel ch) throws IOException {
+    return new CryptoInputStream(CIPHER_ALGORITHM, conf, ch, key, new IvParameterSpec(inIv));
+  }
+
+  /**
+   * Add handlers to channel.
+   *
+   * @param ch the channel for adding handlers
+   * @throws IOException
+   */
+  public void addToChannel(Channel ch) throws IOException {
+    ch.pipeline()
+      .addFirst(ENCRYPTION_HANDLER_NAME, new EncryptionHandler(this))
+      .addFirst(DECRYPTION_HANDLER_NAME, new DecryptionHandler(this));
+  }
+
+  @VisibleForTesting
+  static class EncryptionHandler extends ChannelOutboundHandlerAdapter {
+    private final ByteArrayWritableChannel byteEncChannel;
+    private final CryptoOutputStream cos;
+    private final ByteArrayWritableChannel byteRawChannel;
+    private boolean isCipherValid;
+
+    EncryptionHandler(CtrTransportCipher cipher) throws IOException {
+      byteEncChannel = new ByteArrayWritableChannel(STREAM_BUFFER_SIZE);
+      cos = cipher.createOutputStream(byteEncChannel);
+      byteRawChannel = new ByteArrayWritableChannel(STREAM_BUFFER_SIZE);
+      isCipherValid = true;
+    }
+
+    @Override
+    public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise)
+      throws Exception {
+      ctx.write(createEncryptedMessage(msg), promise);
+    }
+
+    @VisibleForTesting
+    EncryptedMessage createEncryptedMessage(Object msg) {
+      return new EncryptedMessage(this, cos, msg, byteEncChannel, byteRawChannel);
+    }
+
+    @Override
+    public void close(ChannelHandlerContext ctx, ChannelPromise promise) throws Exception {
+      try {
+        if (isCipherValid) {
+          cos.close();
+        }
+      } finally {
+        super.close(ctx, promise);
+      }
+    }
+
+    /**
+     * SPARK-25535. Workaround for CRYPTO-141. Avoid further interaction with the underlying cipher
+     * after an error occurs.
+     */
+    void reportError() {
+      this.isCipherValid = false;
+    }
+
+    boolean isCipherValid() {
+      return isCipherValid;
+    }
+  }
+
+  private static class DecryptionHandler extends ChannelInboundHandlerAdapter {
+    private final CryptoInputStream cis;
+    private final ByteArrayReadableChannel byteChannel;
+    private boolean isCipherValid;
+
+    DecryptionHandler(CtrTransportCipher cipher) throws IOException {
+      byteChannel = new ByteArrayReadableChannel();
+      cis = cipher.createInputStream(byteChannel);
+      isCipherValid = true;
+    }
+
+    @Override
+    public void channelRead(ChannelHandlerContext ctx, Object data) throws Exception {
+      ByteBuf buffer = (ByteBuf) data;
+
+      try {
+        if (!isCipherValid) {
+          throw new IOException("Cipher is in invalid state.");
+        }
+        byte[] decryptedData = new byte[buffer.readableBytes()];
+        byteChannel.feedData(buffer);
+
+        int offset = 0;
+        while (offset < decryptedData.length) {
+          // SPARK-25535: workaround for CRYPTO-141.
+          try {
+            offset += cis.read(decryptedData, offset, decryptedData.length - offset);
+          } catch (InternalError ie) {
+            isCipherValid = false;
+            throw ie;
+          }
+        }
+
+        ctx.fireChannelRead(Unpooled.wrappedBuffer(decryptedData, 0, decryptedData.length));
+      } finally {
+        buffer.release();
+      }
+    }
+
+    @Override
+    public void handlerRemoved(ChannelHandlerContext ctx) throws Exception {
+      // We do the closing of the stream / channel in handlerRemoved(...) as
+      // this method will be called in all cases:
+      //
+      //     - when the Channel becomes inactive
+      //     - when the handler is removed from the ChannelPipeline
+      try {
+        if (isCipherValid) {
+          cis.close();
+        }
+      } finally {
+        super.handlerRemoved(ctx);
+      }
+    }
+  }
+
+  @VisibleForTesting
+  static class EncryptedMessage extends AbstractFileRegion {
+    private final boolean isByteBuf;
+    private final ByteBuf buf;
+    private final FileRegion region;
+    private final CryptoOutputStream cos;
+    private final EncryptionHandler handler;
+    private final long count;
+    private long transferred;
+
+    // Due to streaming issue CRYPTO-125: https://issues.apache.org/jira/browse/CRYPTO-125, it has
+    // to utilize two helper ByteArrayWritableChannel for streaming. One is used to receive raw data
+    // from upper handler, another is used to store encrypted data.
+    private final ByteArrayWritableChannel byteEncChannel;
+    private final ByteArrayWritableChannel byteRawChannel;
+
+    private ByteBuffer currentEncrypted;
+
+    EncryptedMessage(
+        EncryptionHandler handler,
+        CryptoOutputStream cos,
+        Object msg,
+        ByteArrayWritableChannel byteEncChannel,
+        ByteArrayWritableChannel byteRawChannel) {
+      Preconditions.checkArgument(msg instanceof ByteBuf || msg instanceof FileRegion,
+        "Unrecognized message type: %s", msg.getClass().getName());
+      this.handler = handler;
+      this.isByteBuf = msg instanceof ByteBuf;
+      this.buf = isByteBuf ? (ByteBuf) msg : null;
+      this.region = isByteBuf ? null : (FileRegion) msg;
+      this.transferred = 0;
+      this.cos = cos;
+      this.byteEncChannel = byteEncChannel;
+      this.byteRawChannel = byteRawChannel;
+      this.count = isByteBuf ? buf.readableBytes() : region.count();
+    }
+
+    @Override
+    public long count() {
+      return count;
+    }
+
+    @Override
+    public long position() {
+      return 0;
+    }
+
+    @Override
+    public long transferred() {
+      return transferred;
+    }
+
+    @Override
+    public EncryptedMessage touch(Object o) {
+      super.touch(o);
+      if (region != null) {
+        region.touch(o);
+      }
+      if (buf != null) {
+        buf.touch(o);
+      }
+      return this;
+    }
+
+    @Override
+    public EncryptedMessage retain(int increment) {
+      super.retain(increment);
+      if (region != null) {
+        region.retain(increment);
+      }
+      if (buf != null) {
+        buf.retain(increment);
+      }
+      return this;
+    }
+
+    @Override
+    public boolean release(int decrement) {
+      if (region != null) {
+        region.release(decrement);
+      }
+      if (buf != null) {
+        buf.release(decrement);
+      }
+      return super.release(decrement);
+    }
+
+    @Override
+    public long transferTo(WritableByteChannel target, long position) throws IOException {
+      Preconditions.checkArgument(position == transferred(), "Invalid position.");
+
+      if (transferred == count) {
+        return 0;
+      }
+
+      long totalBytesWritten = 0L;
+      do {
+        if (currentEncrypted == null) {
+          encryptMore();
+        }
+
+        long remaining = currentEncrypted.remaining();
+        if (remaining == 0)  {
+          // Just for safety to avoid endless loop. It usually won't happen, but since the
+          // underlying `region.transferTo` is allowed to transfer 0 bytes, we should handle it for
+          // safety.
+          currentEncrypted = null;
+          byteEncChannel.reset();
+          return totalBytesWritten;
+        }
+
+        long bytesWritten = target.write(currentEncrypted);
+        totalBytesWritten += bytesWritten;
+        transferred += bytesWritten;
+        if (bytesWritten < remaining) {
+          // break as the underlying buffer in "target" is full
+          break;
+        }
+        currentEncrypted = null;
+        byteEncChannel.reset();
+      } while (transferred < count);
+
+      return totalBytesWritten;
+    }
+
+    private void encryptMore() throws IOException {
+      if (!handler.isCipherValid()) {
+        throw new IOException("Cipher is in invalid state.");
+      }
+      byteRawChannel.reset();
+
+      if (isByteBuf) {
+        int copied = byteRawChannel.write(buf.nioBuffer());
+        buf.skipBytes(copied);
+      } else {
+        region.transferTo(byteRawChannel, region.transferred());
+      }
+
+      try {
+        cos.write(byteRawChannel.getData(), 0, byteRawChannel.length());
+        cos.flush();
+      } catch (InternalError ie) {
+        handler.reportError();
+        throw ie;
+      }
+
+      currentEncrypted = ByteBuffer.wrap(byteEncChannel.getData(),
+        0, byteEncChannel.length());
+    }
+
+    @Override
+    protected void deallocate() {
+      byteRawChannel.reset();
+      byteEncChannel.reset();
+      if (region != null) {
+        region.release();
+      }
+      if (buf != null) {
+        buf.release();
+      }
+    }
+  }
+
+}
diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/GcmTransportCipher.java b/common/network-common/src/main/java/org/apache/spark/network/crypto/GcmTransportCipher.java
new file mode 100644
index 0000000000000..d3f1bf490d3a3
--- /dev/null
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/GcmTransportCipher.java
@@ -0,0 +1,422 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.crypto;
+
+import com.google.common.annotations.VisibleForTesting;
+import com.google.common.base.Preconditions;
+import com.google.common.primitives.Longs;
+import com.google.crypto.tink.subtle.*;
+import io.netty.buffer.ByteBuf;
+import io.netty.buffer.Unpooled;
+import io.netty.channel.*;
+import io.netty.util.ReferenceCounted;
+import org.apache.spark.network.util.AbstractFileRegion;
+import org.apache.spark.network.util.ByteBufferWriteableChannel;
+
+import javax.crypto.spec.SecretKeySpec;
+import java.io.IOException;
+import java.nio.Buffer;
+import java.nio.ByteBuffer;
+import java.nio.channels.WritableByteChannel;
+import java.security.GeneralSecurityException;
+import java.security.InvalidAlgorithmParameterException;
+
+public class GcmTransportCipher implements TransportCipher {
+    private static final String HKDF_ALG = "HmacSha256";
+    private static final int LENGTH_HEADER_BYTES = 8;
+    @VisibleForTesting
+    static final int CIPHERTEXT_BUFFER_SIZE = 32 * 1024; // 32KB
+    private final SecretKeySpec aesKey;
+
+    public GcmTransportCipher(SecretKeySpec aesKey)  {
+        this.aesKey = aesKey;
+    }
+
+    AesGcmHkdfStreaming getAesGcmHkdfStreaming() throws InvalidAlgorithmParameterException {
+        return new AesGcmHkdfStreaming(
+            aesKey.getEncoded(),
+            HKDF_ALG,
+            aesKey.getEncoded().length,
+            CIPHERTEXT_BUFFER_SIZE,
+            0);
+    }
+
+    /*
+     * This method is for testing purposes only.
+     */
+    @VisibleForTesting
+    public String getKeyId() throws GeneralSecurityException {
+        return TransportCipherUtil.getKeyId(aesKey);
+    }
+
+    @VisibleForTesting
+    EncryptionHandler getEncryptionHandler() throws GeneralSecurityException {
+        return new EncryptionHandler();
+    }
+
+    @VisibleForTesting
+    DecryptionHandler getDecryptionHandler() throws GeneralSecurityException {
+        return new DecryptionHandler();
+    }
+
+    public void addToChannel(Channel ch) throws GeneralSecurityException {
+        ch.pipeline()
+            .addFirst("GcmTransportEncryption", getEncryptionHandler())
+            .addFirst("GcmTransportDecryption", getDecryptionHandler());
+    }
+
+    @VisibleForTesting
+    class EncryptionHandler extends ChannelOutboundHandlerAdapter {
+        private final ByteBuffer plaintextBuffer;
+        private final ByteBuffer ciphertextBuffer;
+        private final AesGcmHkdfStreaming aesGcmHkdfStreaming;
+
+        EncryptionHandler() throws InvalidAlgorithmParameterException {
+            aesGcmHkdfStreaming = getAesGcmHkdfStreaming();
+            plaintextBuffer = ByteBuffer.allocate(aesGcmHkdfStreaming.getPlaintextSegmentSize());
+            ciphertextBuffer = ByteBuffer.allocate(aesGcmHkdfStreaming.getCiphertextSegmentSize());
+        }
+
+        @Override
+        public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise)
+                throws Exception {
+            GcmEncryptedMessage encryptedMessage = new GcmEncryptedMessage(
+                    aesGcmHkdfStreaming,
+                    msg,
+                    plaintextBuffer,
+                    ciphertextBuffer);
+            ctx.write(encryptedMessage, promise);
+        }
+    }
+
+    static class GcmEncryptedMessage extends AbstractFileRegion {
+        private final Object plaintextMessage;
+        private final ByteBuffer plaintextBuffer;
+        private final ByteBuffer ciphertextBuffer;
+        private final ByteBuffer headerByteBuffer;
+        private final long bytesToRead;
+        private long bytesRead = 0;
+        private final StreamSegmentEncrypter encrypter;
+        private long transferred = 0;
+        private final long encryptedCount;
+
+        GcmEncryptedMessage(AesGcmHkdfStreaming aesGcmHkdfStreaming,
+                            Object plaintextMessage,
+                            ByteBuffer plaintextBuffer,
+                            ByteBuffer ciphertextBuffer) throws GeneralSecurityException {
+            Preconditions.checkArgument(
+                    plaintextMessage instanceof ByteBuf || plaintextMessage instanceof FileRegion,
+                    "Unrecognized message type: %s", plaintextMessage.getClass().getName());
+            this.plaintextMessage = plaintextMessage;
+            this.plaintextBuffer = plaintextBuffer;
+            this.ciphertextBuffer = ciphertextBuffer;
+            // If the ciphertext buffer cannot be fully written the target, transferTo may
+            // return with it containing some unwritten data. The initial call we'll explicitly
+            // set its limit to 0 to indicate the first call to transferTo.
+            ((Buffer) this.ciphertextBuffer).limit(0);
+            this.bytesToRead = getReadableBytes();
+            this.encryptedCount =
+                    LENGTH_HEADER_BYTES + aesGcmHkdfStreaming.expectedCiphertextSize(bytesToRead);
+            byte[] lengthAad = Longs.toByteArray(encryptedCount);
+            this.encrypter = aesGcmHkdfStreaming.newStreamSegmentEncrypter(lengthAad);
+            this.headerByteBuffer = createHeaderByteBuffer();
+        }
+
+        // The format of the output is:
+        // [8 byte length][Internal IV and header][Ciphertext][Auth Tag]
+        private ByteBuffer createHeaderByteBuffer() {
+            ByteBuffer encrypterHeader = encrypter.getHeader();
+            ByteBuffer output = ByteBuffer
+                    .allocate(encrypterHeader.remaining() + LENGTH_HEADER_BYTES)
+                    .putLong(encryptedCount)
+                    .put(encrypterHeader);
+            ((Buffer) output).flip();
+            return output;
+        }
+
+        @Override
+        public long position() {
+            return 0;
+        }
+
+        @Override
+        public long transferred() {
+            return transferred;
+        }
+
+        @Override
+        public long count() {
+            return encryptedCount;
+        }
+
+        @Override
+        public GcmEncryptedMessage touch(Object o) {
+            super.touch(o);
+            if (plaintextMessage instanceof ByteBuf) {
+                ByteBuf byteBuf = (ByteBuf) plaintextMessage;
+                byteBuf.touch(o);
+            } else if (plaintextMessage instanceof FileRegion) {
+                FileRegion fileRegion = (FileRegion) plaintextMessage;
+                fileRegion.touch(o);
+            }
+            return this;
+        }
+
+        @Override
+        public GcmEncryptedMessage retain(int increment) {
+            super.retain(increment);
+            if (plaintextMessage instanceof ByteBuf) {
+                ByteBuf byteBuf = (ByteBuf) plaintextMessage;
+                byteBuf.retain(increment);
+            } else if (plaintextMessage instanceof FileRegion) {
+                FileRegion fileRegion = (FileRegion) plaintextMessage;
+                fileRegion.retain(increment);
+            }
+            return this;
+        }
+
+        @Override
+        public boolean release(int decrement) {
+            if (plaintextMessage instanceof ByteBuf) {
+                ByteBuf byteBuf = (ByteBuf) plaintextMessage;
+                byteBuf.release(decrement);
+            } else if (plaintextMessage instanceof FileRegion) {
+                FileRegion fileRegion = (FileRegion) plaintextMessage;
+                fileRegion.release(decrement);
+            }
+            return super.release(decrement);
+        }
+
+        @Override
+        public long transferTo(WritableByteChannel target, long position) throws IOException {
+            int transferredThisCall = 0;
+            // If the header has is not empty, try to write it out to the target.
+            if (headerByteBuffer.hasRemaining()) {
+                int written = target.write(headerByteBuffer);
+                transferredThisCall += written;
+                this.transferred += written;
+                if (headerByteBuffer.hasRemaining()) {
+                    return written;
+                }
+            }
+            // If the ciphertext buffer is not empty, try to write it to the target.
+            if (ciphertextBuffer.hasRemaining()) {
+                int written = target.write(ciphertextBuffer);
+                transferredThisCall += written;
+                this.transferred += written;
+                if (ciphertextBuffer.hasRemaining()) {
+                    return transferredThisCall;
+               }
+            }
+            while (bytesRead < bytesToRead) {
+                long readableBytes = getReadableBytes();
+                int readLimit =
+                        (int) Math.min(readableBytes, plaintextBuffer.remaining());
+                if (plaintextMessage instanceof ByteBuf) {
+                    ByteBuf byteBuf = (ByteBuf) plaintextMessage;
+                    Preconditions.checkState(0 == plaintextBuffer.position());
+                    ((Buffer) plaintextBuffer).limit(readLimit);
+                    byteBuf.readBytes(plaintextBuffer);
+                    Preconditions.checkState(readLimit == plaintextBuffer.position());
+                } else if (plaintextMessage instanceof FileRegion) {
+                    FileRegion fileRegion = (FileRegion) plaintextMessage;
+                    ByteBufferWriteableChannel plaintextChannel =
+                            new ByteBufferWriteableChannel(plaintextBuffer);
+                    long plaintextRead =
+                            fileRegion.transferTo(plaintextChannel, fileRegion.transferred());
+                    if (plaintextRead < readLimit) {
+                        // If we do not read a full plaintext buffer or all the available
+                        // readable bytes, return what was transferred this call.
+                        return transferredThisCall;
+                    }
+                }
+                boolean lastSegment = getReadableBytes() == 0;
+                ((Buffer) plaintextBuffer).flip();
+                bytesRead += plaintextBuffer.remaining();
+                ((Buffer) ciphertextBuffer).clear();
+                try {
+                    encrypter.encryptSegment(plaintextBuffer, lastSegment, ciphertextBuffer);
+                } catch (GeneralSecurityException e) {
+                    throw new IllegalStateException("GeneralSecurityException from encrypter", e);
+                }
+                ((Buffer) plaintextBuffer).clear();
+                ((Buffer) ciphertextBuffer).flip();
+                int written = target.write(ciphertextBuffer);
+                transferredThisCall += written;
+                this.transferred += written;
+                if (ciphertextBuffer.hasRemaining()) {
+                    // In this case, upon calling transferTo again, it will try to write the
+                    // remaining ciphertext buffer in the conditional before this loop.
+                    return transferredThisCall;
+                }
+            }
+            return transferredThisCall;
+        }
+
+        private long getReadableBytes() {
+            if (plaintextMessage instanceof ByteBuf) {
+                ByteBuf byteBuf = (ByteBuf) plaintextMessage;
+                return byteBuf.readableBytes();
+            } else if (plaintextMessage instanceof FileRegion) {
+                FileRegion fileRegion = (FileRegion) plaintextMessage;
+                return fileRegion.count() - fileRegion.transferred();
+            } else {
+                throw new IllegalArgumentException("Unsupported message type: " +
+                        plaintextMessage.getClass().getName());
+            }
+        }
+
+        @Override
+        protected void deallocate() {
+            if (plaintextMessage instanceof ReferenceCounted) {
+                ((ReferenceCounted) plaintextMessage).release();
+            }
+            plaintextBuffer.clear();
+            ciphertextBuffer.clear();
+        }
+    }
+
+    @VisibleForTesting
+    class DecryptionHandler extends ChannelInboundHandlerAdapter {
+        private final ByteBuffer expectedLengthBuffer;
+        private final ByteBuffer headerBuffer;
+        private final ByteBuffer ciphertextBuffer;
+        private final AesGcmHkdfStreaming aesGcmHkdfStreaming;
+        private final StreamSegmentDecrypter decrypter;
+        private final int plaintextSegmentSize;
+        private boolean decrypterInit = false;
+        private boolean completed = false;
+        private int segmentNumber = 0;
+        private long expectedLength = -1;
+        private long ciphertextRead = 0;
+
+        DecryptionHandler() throws GeneralSecurityException {
+            aesGcmHkdfStreaming = getAesGcmHkdfStreaming();
+            expectedLengthBuffer = ByteBuffer.allocate(LENGTH_HEADER_BYTES);
+            headerBuffer = ByteBuffer.allocate(aesGcmHkdfStreaming.getHeaderLength());
+            ciphertextBuffer =
+                    ByteBuffer.allocate(aesGcmHkdfStreaming.getCiphertextSegmentSize());
+            decrypter = aesGcmHkdfStreaming.newStreamSegmentDecrypter();
+            plaintextSegmentSize = aesGcmHkdfStreaming.getPlaintextSegmentSize();
+        }
+
+        private boolean initalizeExpectedLength(ByteBuf ciphertextNettyBuf) {
+            if (expectedLength < 0) {
+                ciphertextNettyBuf.readBytes(expectedLengthBuffer);
+                if (expectedLengthBuffer.hasRemaining()) {
+                    // We did not read enough bytes to initialize the expected length.
+                    return false;
+                }
+                ((Buffer) expectedLengthBuffer).flip();
+                expectedLength = expectedLengthBuffer.getLong();
+                if (expectedLength < 0) {
+                    throw new IllegalStateException("Invalid expected ciphertext length.");
+                }
+                ciphertextRead += LENGTH_HEADER_BYTES;
+            }
+            return true;
+        }
+
+        private boolean initalizeDecrypter(ByteBuf ciphertextNettyBuf)
+                throws GeneralSecurityException {
+            // Check if the ciphertext header has been read. This contains
+            // the IV and other internal metadata.
+            if (!decrypterInit) {
+                ciphertextNettyBuf.readBytes(headerBuffer);
+                if (headerBuffer.hasRemaining()) {
+                    // We did not read enough bytes to initialize the header.
+                    return false;
+                }
+                ((Buffer) headerBuffer).flip();
+                byte[] lengthAad = Longs.toByteArray(expectedLength);
+                decrypter.init(headerBuffer, lengthAad);
+                decrypterInit = true;
+                ciphertextRead += aesGcmHkdfStreaming.getHeaderLength();
+                if (expectedLength == ciphertextRead) {
+                    // If the expected length is just the header, the ciphertext is 0 length.
+                    completed = true;
+                }
+            }
+            return true;
+        }
+
+        @Override
+        public void channelRead(ChannelHandlerContext ctx, Object ciphertextMessage)
+                throws GeneralSecurityException {
+            Preconditions.checkArgument(ciphertextMessage instanceof ByteBuf,
+                    "Unrecognized message type: %s",
+                    ciphertextMessage.getClass().getName());
+            ByteBuf ciphertextNettyBuf = (ByteBuf) ciphertextMessage;
+            // The format of the output is:
+            // [8 byte length][Internal IV and header][Ciphertext][Auth Tag]
+            try {
+                if (!initalizeExpectedLength(ciphertextNettyBuf)) {
+                    // We have not read enough bytes to initialize the expected length.
+                    return;
+                }
+                if (!initalizeDecrypter(ciphertextNettyBuf)) {
+                    // We have not read enough bytes to initialize a header, needed to
+                    // initialize a decrypter.
+                    return;
+                }
+                int nettyBufReadableBytes = ciphertextNettyBuf.readableBytes();
+                while (nettyBufReadableBytes > 0 && !completed) {
+                    // Read the ciphertext into the local buffer
+                    int readableBytes = Integer.min(
+                            nettyBufReadableBytes,
+                            ciphertextBuffer.remaining());
+                    int expectedRemaining = (int) (expectedLength - ciphertextRead);
+                    int bytesToRead = Integer.min(readableBytes, expectedRemaining);
+                    // The smallest ciphertext size is 16 bytes for the auth tag
+                    ((Buffer) ciphertextBuffer).limit(
+                            ((Buffer) ciphertextBuffer).position() + bytesToRead);
+                    ciphertextNettyBuf.readBytes(ciphertextBuffer);
+                    ciphertextRead += bytesToRead;
+                    // Check if this is the last segment
+                    if (ciphertextRead == expectedLength) {
+                        completed = true;
+                    } else if (ciphertextRead > expectedLength) {
+                        throw new IllegalStateException("Read more ciphertext than expected.");
+                    }
+                    // If the ciphertext buffer is full, or this is the last segment,
+                    // then decrypt it and fire a read.
+                    if (ciphertextBuffer.limit() == ciphertextBuffer.capacity() || completed) {
+                        ByteBuffer plaintextBuffer = ByteBuffer.allocate(plaintextSegmentSize);
+                        ((Buffer) ciphertextBuffer).flip();
+                        decrypter.decryptSegment(
+                                ciphertextBuffer,
+                                segmentNumber,
+                                completed,
+                                plaintextBuffer);
+                        segmentNumber++;
+                        // Clear the ciphertext buffer because it's been read
+                        ((Buffer) ciphertextBuffer).clear();
+                        ((Buffer) plaintextBuffer).flip();
+                        ctx.fireChannelRead(Unpooled.wrappedBuffer(plaintextBuffer));
+                    } else {
+                        // Set the ciphertext buffer up to read the next chunk
+                        ((Buffer) ciphertextBuffer).limit(ciphertextBuffer.capacity());
+                    }
+                    nettyBufReadableBytes = ciphertextNettyBuf.readableBytes();
+                }
+            } finally {
+                ciphertextNettyBuf.release();
+            }
+        }
+    }
+}
diff --git a/common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java b/common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java
index b507f911fe11a..355c552720185 100644
--- a/common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java
+++ b/common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java
@@ -17,362 +17,32 @@
 
 package org.apache.spark.network.crypto;
 
-import java.io.IOException;
-import java.nio.ByteBuffer;
-import java.nio.channels.ReadableByteChannel;
-import java.nio.channels.WritableByteChannel;
-import java.util.Properties;
-import javax.crypto.spec.SecretKeySpec;
-import javax.crypto.spec.IvParameterSpec;
-
 import com.google.common.annotations.VisibleForTesting;
-import com.google.common.base.Preconditions;
-import io.netty.buffer.ByteBuf;
-import io.netty.buffer.Unpooled;
-import io.netty.channel.*;
-import org.apache.commons.crypto.stream.CryptoInputStream;
-import org.apache.commons.crypto.stream.CryptoOutputStream;
-
-import org.apache.spark.network.util.AbstractFileRegion;
-import org.apache.spark.network.util.ByteArrayReadableChannel;
-import org.apache.spark.network.util.ByteArrayWritableChannel;
-
-/**
- * Cipher for encryption and decryption.
- */
-public class TransportCipher {
-  @VisibleForTesting
-  static final String ENCRYPTION_HANDLER_NAME = "TransportEncryption";
-  private static final String DECRYPTION_HANDLER_NAME = "TransportDecryption";
-  @VisibleForTesting
-  static final int STREAM_BUFFER_SIZE = 1024 * 32;
-
-  private final Properties conf;
-  private final String cipher;
-  private final SecretKeySpec key;
-  private final byte[] inIv;
-  private final byte[] outIv;
-
-  public TransportCipher(
-      Properties conf,
-      String cipher,
-      SecretKeySpec key,
-      byte[] inIv,
-      byte[] outIv) {
-    this.conf = conf;
-    this.cipher = cipher;
-    this.key = key;
-    this.inIv = inIv;
-    this.outIv = outIv;
-  }
-
-  public String getCipherTransformation() {
-    return cipher;
-  }
-
-  @VisibleForTesting
-  SecretKeySpec getKey() {
-    return key;
-  }
-
-  /** The IV for the input channel (i.e. output channel of the remote side). */
-  public byte[] getInputIv() {
-    return inIv;
-  }
-
-  /** The IV for the output channel (i.e. input channel of the remote side). */
-  public byte[] getOutputIv() {
-    return outIv;
-  }
-
-  @VisibleForTesting
-  CryptoOutputStream createOutputStream(WritableByteChannel ch) throws IOException {
-    return new CryptoOutputStream(cipher, conf, ch, key, new IvParameterSpec(outIv));
-  }
-
-  @VisibleForTesting
-  CryptoInputStream createInputStream(ReadableByteChannel ch) throws IOException {
-    return new CryptoInputStream(cipher, conf, ch, key, new IvParameterSpec(inIv));
-  }
-
-  /**
-   * Add handlers to channel.
-   *
-   * @param ch the channel for adding handlers
-   * @throws IOException
-   */
-  public void addToChannel(Channel ch) throws IOException {
-    ch.pipeline()
-      .addFirst(ENCRYPTION_HANDLER_NAME, new EncryptionHandler(this))
-      .addFirst(DECRYPTION_HANDLER_NAME, new DecryptionHandler(this));
-  }
-
-  @VisibleForTesting
-  static class EncryptionHandler extends ChannelOutboundHandlerAdapter {
-    private final ByteArrayWritableChannel byteEncChannel;
-    private final CryptoOutputStream cos;
-    private final ByteArrayWritableChannel byteRawChannel;
-    private boolean isCipherValid;
-
-    EncryptionHandler(TransportCipher cipher) throws IOException {
-      byteEncChannel = new ByteArrayWritableChannel(STREAM_BUFFER_SIZE);
-      cos = cipher.createOutputStream(byteEncChannel);
-      byteRawChannel = new ByteArrayWritableChannel(STREAM_BUFFER_SIZE);
-      isCipherValid = true;
-    }
+import com.google.crypto.tink.subtle.Hex;
+import com.google.crypto.tink.subtle.Hkdf;
+import io.netty.channel.Channel;
 
-    @Override
-    public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise)
-      throws Exception {
-      ctx.write(createEncryptedMessage(msg), promise);
-    }
-
-    @VisibleForTesting
-    EncryptedMessage createEncryptedMessage(Object msg) {
-      return new EncryptedMessage(this, cos, msg, byteEncChannel, byteRawChannel);
-    }
+import javax.crypto.spec.SecretKeySpec;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.security.GeneralSecurityException;
 
-    @Override
-    public void close(ChannelHandlerContext ctx, ChannelPromise promise) throws Exception {
-      try {
-        if (isCipherValid) {
-          cos.close();
-        }
-      } finally {
-        super.close(ctx, promise);
-      }
-    }
+interface TransportCipher {
+    String getKeyId() throws GeneralSecurityException;
+    void addToChannel(Channel channel) throws IOException, GeneralSecurityException;
+}
 
-    /**
-     * SPARK-25535. Workaround for CRYPTO-141. Avoid further interaction with the underlying cipher
-     * after an error occurs.
+class TransportCipherUtil {
+    /*
+     * This method is used for testing to verify key derivation.
      */
-    void reportError() {
-      this.isCipherValid = false;
-    }
-
-    boolean isCipherValid() {
-      return isCipherValid;
-    }
-  }
-
-  private static class DecryptionHandler extends ChannelInboundHandlerAdapter {
-    private final CryptoInputStream cis;
-    private final ByteArrayReadableChannel byteChannel;
-    private boolean isCipherValid;
-
-    DecryptionHandler(TransportCipher cipher) throws IOException {
-      byteChannel = new ByteArrayReadableChannel();
-      cis = cipher.createInputStream(byteChannel);
-      isCipherValid = true;
-    }
-
-    @Override
-    public void channelRead(ChannelHandlerContext ctx, Object data) throws Exception {
-      ByteBuf buffer = (ByteBuf) data;
-
-      try {
-        if (!isCipherValid) {
-          throw new IOException("Cipher is in invalid state.");
-        }
-        byte[] decryptedData = new byte[buffer.readableBytes()];
-        byteChannel.feedData(buffer);
-
-        int offset = 0;
-        while (offset < decryptedData.length) {
-          // SPARK-25535: workaround for CRYPTO-141.
-          try {
-            offset += cis.read(decryptedData, offset, decryptedData.length - offset);
-          } catch (InternalError ie) {
-            isCipherValid = false;
-            throw ie;
-          }
-        }
-
-        ctx.fireChannelRead(Unpooled.wrappedBuffer(decryptedData, 0, decryptedData.length));
-      } finally {
-        buffer.release();
-      }
-    }
-
-    @Override
-    public void handlerRemoved(ChannelHandlerContext ctx) throws Exception {
-      // We do the closing of the stream / channel in handlerRemoved(...) as
-      // this method will be called in all cases:
-      //
-      //     - when the Channel becomes inactive
-      //     - when the handler is removed from the ChannelPipeline
-      try {
-        if (isCipherValid) {
-          cis.close();
-        }
-      } finally {
-        super.handlerRemoved(ctx);
-      }
-    }
-  }
-
-  @VisibleForTesting
-  static class EncryptedMessage extends AbstractFileRegion {
-    private final boolean isByteBuf;
-    private final ByteBuf buf;
-    private final FileRegion region;
-    private final CryptoOutputStream cos;
-    private final EncryptionHandler handler;
-    private final long count;
-    private long transferred;
-
-    // Due to streaming issue CRYPTO-125: https://issues.apache.org/jira/browse/CRYPTO-125, it has
-    // to utilize two helper ByteArrayWritableChannel for streaming. One is used to receive raw data
-    // from upper handler, another is used to store encrypted data.
-    private final ByteArrayWritableChannel byteEncChannel;
-    private final ByteArrayWritableChannel byteRawChannel;
-
-    private ByteBuffer currentEncrypted;
-
-    EncryptedMessage(
-        EncryptionHandler handler,
-        CryptoOutputStream cos,
-        Object msg,
-        ByteArrayWritableChannel byteEncChannel,
-        ByteArrayWritableChannel byteRawChannel) {
-      Preconditions.checkArgument(msg instanceof ByteBuf || msg instanceof FileRegion,
-        "Unrecognized message type: %s", msg.getClass().getName());
-      this.handler = handler;
-      this.isByteBuf = msg instanceof ByteBuf;
-      this.buf = isByteBuf ? (ByteBuf) msg : null;
-      this.region = isByteBuf ? null : (FileRegion) msg;
-      this.transferred = 0;
-      this.cos = cos;
-      this.byteEncChannel = byteEncChannel;
-      this.byteRawChannel = byteRawChannel;
-      this.count = isByteBuf ? buf.readableBytes() : region.count();
-    }
-
-    @Override
-    public long count() {
-      return count;
-    }
-
-    @Override
-    public long position() {
-      return 0;
-    }
-
-    @Override
-    public long transferred() {
-      return transferred;
-    }
-
-    @Override
-    public EncryptedMessage touch(Object o) {
-      super.touch(o);
-      if (region != null) {
-        region.touch(o);
-      }
-      if (buf != null) {
-        buf.touch(o);
-      }
-      return this;
-    }
-
-    @Override
-    public EncryptedMessage retain(int increment) {
-      super.retain(increment);
-      if (region != null) {
-        region.retain(increment);
-      }
-      if (buf != null) {
-        buf.retain(increment);
-      }
-      return this;
-    }
-
-    @Override
-    public boolean release(int decrement) {
-      if (region != null) {
-        region.release(decrement);
-      }
-      if (buf != null) {
-        buf.release(decrement);
-      }
-      return super.release(decrement);
-    }
-
-    @Override
-    public long transferTo(WritableByteChannel target, long position) throws IOException {
-      Preconditions.checkArgument(position == transferred(), "Invalid position.");
-
-      if (transferred == count) {
-        return 0;
-      }
-
-      long totalBytesWritten = 0L;
-      do {
-        if (currentEncrypted == null) {
-          encryptMore();
-        }
-
-        long remaining = currentEncrypted.remaining();
-        if (remaining == 0)  {
-          // Just for safety to avoid endless loop. It usually won't happen, but since the
-          // underlying `region.transferTo` is allowed to transfer 0 bytes, we should handle it for
-          // safety.
-          currentEncrypted = null;
-          byteEncChannel.reset();
-          return totalBytesWritten;
-        }
-
-        long bytesWritten = target.write(currentEncrypted);
-        totalBytesWritten += bytesWritten;
-        transferred += bytesWritten;
-        if (bytesWritten < remaining) {
-          // break as the underlying buffer in "target" is full
-          break;
-        }
-        currentEncrypted = null;
-        byteEncChannel.reset();
-      } while (transferred < count);
-
-      return totalBytesWritten;
-    }
-
-    private void encryptMore() throws IOException {
-      if (!handler.isCipherValid()) {
-        throw new IOException("Cipher is in invalid state.");
-      }
-      byteRawChannel.reset();
-
-      if (isByteBuf) {
-        int copied = byteRawChannel.write(buf.nioBuffer());
-        buf.skipBytes(copied);
-      } else {
-        region.transferTo(byteRawChannel, region.transferred());
-      }
-
-      try {
-        cos.write(byteRawChannel.getData(), 0, byteRawChannel.length());
-        cos.flush();
-      } catch (InternalError ie) {
-        handler.reportError();
-        throw ie;
-      }
-
-      currentEncrypted = ByteBuffer.wrap(byteEncChannel.getData(),
-        0, byteEncChannel.length());
-    }
-
-    @Override
-    protected void deallocate() {
-      byteRawChannel.reset();
-      byteEncChannel.reset();
-      if (region != null) {
-        region.release();
-      }
-      if (buf != null) {
-        buf.release();
-      }
+    @VisibleForTesting
+    static String getKeyId(SecretKeySpec key) throws GeneralSecurityException {
+        byte[] keyIdBytes = Hkdf.computeHkdf("HmacSha256",
+                key.getEncoded(),
+                null,
+                "keyID".getBytes(StandardCharsets.UTF_8),
+                32);
+        return Hex.encode(keyIdBytes);
     }
-  }
-
 }
diff --git a/common/network-common/src/main/java/org/apache/spark/network/util/ByteBufferWriteableChannel.java b/common/network-common/src/main/java/org/apache/spark/network/util/ByteBufferWriteableChannel.java
new file mode 100644
index 0000000000000..d49f46afa7ec4
--- /dev/null
+++ b/common/network-common/src/main/java/org/apache/spark/network/util/ByteBufferWriteableChannel.java
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.util;
+
+import java.io.IOException;
+import java.nio.Buffer;
+import java.nio.ByteBuffer;
+import java.nio.channels.ClosedChannelException;
+import java.nio.channels.WritableByteChannel;
+
+public class ByteBufferWriteableChannel implements WritableByteChannel {
+    private final ByteBuffer destination;
+    private boolean open;
+
+    public ByteBufferWriteableChannel(ByteBuffer destination) {
+        this.destination = destination;
+        this.open = true;
+    }
+
+    @Override
+    public int write(ByteBuffer src) throws IOException {
+        if (!isOpen()) {
+            throw new ClosedChannelException();
+        }
+        int bytesToWrite = Math.min(src.remaining(), destination.remaining());
+        // Destination buffer is full
+        if (bytesToWrite == 0) {
+            return 0;
+        }
+        ByteBuffer temp = src.slice();
+        ((Buffer) temp).limit(bytesToWrite);
+        destination.put(temp);
+        ((Buffer) src).position(((Buffer) src).position() + bytesToWrite);
+        return bytesToWrite;
+    }
+
+    @Override
+    public boolean isOpen() {
+        return open;
+    }
+
+    @Override
+    public void close() {
+        open = false;
+    }
+}
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
index 971e3ef2ff98c..ad737e5332dd4 100644
--- a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthEngineSuite.java
@@ -18,75 +18,76 @@
 package org.apache.spark.network.crypto;
 
 import java.nio.ByteBuffer;
-import java.nio.channels.WritableByteChannel;
 import java.security.GeneralSecurityException;
-import java.util.Collections;
-import java.util.Random;
+import java.util.Map;
 
+import com.google.common.collect.ImmutableMap;
 import com.google.crypto.tink.subtle.Hex;
-import io.netty.buffer.ByteBuf;
-import io.netty.buffer.Unpooled;
-import io.netty.channel.FileRegion;
-import org.apache.spark.network.util.ByteArrayWritableChannel;
-import org.apache.spark.network.util.ConfigProvider;
-import org.apache.spark.network.util.MapConfigProvider;
-import org.apache.spark.network.util.TransportConf;
+import org.apache.spark.network.util.*;
+
 import static org.junit.Assert.*;
-import org.junit.BeforeClass;
 import org.junit.Test;
-import static org.mockito.Mockito.*;
-import org.mockito.invocation.InvocationOnMock;
-import org.mockito.stubbing.Answer;
-
-public class AuthEngineSuite {
-
-  private static final String clientPrivate =
-      "efe6b68b3fce92158e3637f6ef9d937e75558928dd4b401de04b43d300a73186";
-  private static final String clientChallengeHex =
-      "fb00000005617070496400000010890b6e960f48e998777267a7e4e623220000003c48ad7dc7ec9466da9" +
-      "3bda9f11488dc9404050e02c661d87d67c782444944c6e369b27e0a416c30845a2d9e64271511ca98b41d" +
-      "65f8c426e18ff380f6";
-  private static final String serverResponseHex =
-      "fb00000005617070496400000010708451c9dd2792c97c1ca66e6df449ef0000003c64fe899ecdaf458d4" +
-      "e25e9d5c5a380b8e6d1a184692fac065ed84f8592c18e9629f9c636809dca2ffc041f20346eb53db78738" +
-      "08ecad08b46b5ee3ff";
 
-  private static final String derivedKey = "2d6e7a9048c8265c33a8f3747bfcc84c";
+abstract class AuthEngineSuite {
+  static final String clientPrivate =
+          "efe6b68b3fce92158e3637f6ef9d937e75558928dd4b401de04b43d300a73186";
+  static final String clientChallengeHex =
+          "fb00000005617070496400000010890b6e960f48e998777267a7e4e623220000003c48ad7dc7ec9466da9" +
+          "3bda9f11488dc9404050e02c661d87d67c782444944c6e369b27e0a416c30845a2d9e64271511ca98b41d" +
+          "65f8c426e18ff380f6";
+  static final String serverResponseHex =
+          "fb00000005617070496400000010708451c9dd2792c97c1ca66e6df449ef0000003c64fe899ecdaf458d4" +
+          "e25e9d5c5a380b8e6d1a184692fac065ed84f8592c18e9629f9c636809dca2ffc041f20346eb53db78738" +
+          "08ecad08b46b5ee3ff";
+  static final String derivedKeyId =
+          "de04fd52d71040ed9d260579dacfdf4f5695f991ce8ddb1dde05a7335880906e";
   // This key would have been derived for version 1.0 protocol that did not run a final HKDF round.
-  private static final String unsafeDerivedKey =
-      "31963f15a320d5c90333f7ecf5cf3a31c7eaf151de07fef8494663a9f47cfd31";
-  private static final String inputIv = "fc6a5dc8b90a9dad8f54f08b51a59ed2";
-  private static final String outputIv = "a72709baf00785cad6329ce09f631f71";
-  private static TransportConf conf;
-
-  @BeforeClass
-  public static void setUp() {
-    ConfigProvider v2Provider = new MapConfigProvider(Collections.singletonMap(
-            "spark.network.crypto.authEngineVersion", "2"));
-    conf = new TransportConf("rpc", v2Provider);
+  static final String unsafeDerivedKey =
+          "31963f15a320d5c90333f7ecf5cf3a31c7eaf151de07fef8494663a9f47cfd31";
+  static TransportConf conf;
+
+  static TransportConf getConf(int authEngineVerison, boolean useCtr) {
+    String authEngineVersion = (authEngineVerison == 1) ? "1" : "2";
+    String mode = useCtr ? "AES/CTR/NoPadding" : "AES/GCM/NoPadding";
+    Map<String, String> confMap = ImmutableMap.of(
+            "spark.network.crypto.enabled", "true",
+            "spark.network.crypto.authEngineVersion", authEngineVersion,
+            "spark.network.crypto.cipher", mode
+    );
+    ConfigProvider v2Provider = new MapConfigProvider(confMap);
+    return new TransportConf("rpc", v2Provider);
   }
 
   @Test
   public void testAuthEngine() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
       AuthMessage serverResponse = server.response(clientChallenge);
       client.deriveSessionCipher(clientChallenge, serverResponse);
-
       TransportCipher serverCipher = server.sessionCipher();
       TransportCipher clientCipher = client.sessionCipher();
+      assertEquals(clientCipher.getKeyId(), serverCipher.getKeyId());
+    }
+  }
 
-      assertArrayEquals(serverCipher.getInputIv(), clientCipher.getOutputIv());
-      assertArrayEquals(serverCipher.getOutputIv(), clientCipher.getInputIv());
-      assertEquals(serverCipher.getKey(), clientCipher.getKey());
+  @Test
+  public void testFixedChallengeResponse() throws Exception {
+    try (AuthEngine client = new AuthEngine("appId", "secret", conf)) {
+      byte[] clientPrivateKey = Hex.decode(clientPrivate);
+      client.setClientPrivateKey(clientPrivateKey);
+      AuthMessage clientChallenge =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
+      AuthMessage serverResponse =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
+      // Verify that the client will accept an old transcript.
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      assertEquals(client.sessionCipher().getKeyId(), derivedKeyId);
     }
   }
 
   @Test
   public void testCorruptChallengeAppId() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
@@ -98,7 +99,6 @@ public void testCorruptChallengeAppId() throws Exception {
 
   @Test
   public void testCorruptChallengeSalt() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
@@ -109,7 +109,6 @@ public void testCorruptChallengeSalt() throws Exception {
 
   @Test
   public void testCorruptChallengeCiphertext() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
@@ -120,7 +119,6 @@ public void testCorruptChallengeCiphertext() throws Exception {
 
   @Test
   public void testCorruptResponseAppId() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
@@ -134,20 +132,18 @@ public void testCorruptResponseAppId() throws Exception {
 
   @Test
   public void testCorruptResponseSalt() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
       AuthMessage serverResponse = server.response(clientChallenge);
       serverResponse.salt[0] ^= 1;
       assertThrows(GeneralSecurityException.class,
-        () -> client.deriveSessionCipher(clientChallenge, serverResponse));
+              () -> client.deriveSessionCipher(clientChallenge, serverResponse));
     }
   }
 
   @Test
   public void testCorruptServerCiphertext() throws Exception {
-
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
          AuthEngine server = new AuthEngine("appId", "secret", conf)) {
       AuthMessage clientChallenge = client.challenge();
@@ -169,45 +165,6 @@ public void testFixedChallenge() throws Exception {
     }
   }
 
-  @Test
-  public void testFixedChallengeResponse() throws Exception {
-    try (AuthEngine client = new AuthEngine("appId", "secret", conf)) {
-      byte[] clientPrivateKey = Hex.decode(clientPrivate);
-      client.setClientPrivateKey(clientPrivateKey);
-      AuthMessage clientChallenge =
-              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
-      AuthMessage serverResponse =
-              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
-      // Verify that the client will accept an old transcript.
-      client.deriveSessionCipher(clientChallenge, serverResponse);
-      TransportCipher clientCipher = client.sessionCipher();
-      assertEquals(Hex.encode(clientCipher.getKey().getEncoded()), derivedKey);
-      assertEquals(Hex.encode(clientCipher.getInputIv()), inputIv);
-      assertEquals(Hex.encode(clientCipher.getOutputIv()), outputIv);
-    }
-  }
-
-  @Test
-  public void testFixedChallengeResponseUnsafeVersion() throws Exception {
-    ConfigProvider v1Provider = new MapConfigProvider(Collections.singletonMap(
-            "spark.network.crypto.authEngineVersion", "1"));
-    TransportConf v1Conf = new TransportConf("rpc", v1Provider);
-    try (AuthEngine client = new AuthEngine("appId", "secret", v1Conf)) {
-      byte[] clientPrivateKey = Hex.decode(clientPrivate);
-      client.setClientPrivateKey(clientPrivateKey);
-      AuthMessage clientChallenge =
-              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
-      AuthMessage serverResponse =
-              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
-      // Verify that the client will accept an old transcript.
-      client.deriveSessionCipher(clientChallenge, serverResponse);
-      TransportCipher clientCipher = client.sessionCipher();
-      assertEquals(Hex.encode(clientCipher.getKey().getEncoded()), unsafeDerivedKey);
-      assertEquals(Hex.encode(clientCipher.getInputIv()), inputIv);
-      assertEquals(Hex.encode(clientCipher.getOutputIv()), outputIv);
-    }
-  }
-
   @Test
   public void testMismatchedSecret() throws Exception {
     try (AuthEngine client = new AuthEngine("appId", "secret", conf);
@@ -216,70 +173,4 @@ public void testMismatchedSecret() throws Exception {
       assertThrows(GeneralSecurityException.class, () -> server.response(clientChallenge));
     }
   }
-
-  @Test
-  public void testEncryptedMessage() throws Exception {
-    try (AuthEngine client = new AuthEngine("appId", "secret", conf);
-         AuthEngine server = new AuthEngine("appId", "secret", conf)) {
-      AuthMessage clientChallenge = client.challenge();
-      AuthMessage serverResponse = server.response(clientChallenge);
-      client.deriveSessionCipher(clientChallenge, serverResponse);
-
-      TransportCipher cipher = server.sessionCipher();
-      TransportCipher.EncryptionHandler handler = new TransportCipher.EncryptionHandler(cipher);
-
-      byte[] data = new byte[TransportCipher.STREAM_BUFFER_SIZE + 1];
-      new Random().nextBytes(data);
-      ByteBuf buf = Unpooled.wrappedBuffer(data);
-
-      ByteArrayWritableChannel channel = new ByteArrayWritableChannel(data.length);
-      TransportCipher.EncryptedMessage emsg = handler.createEncryptedMessage(buf);
-      while (emsg.transferred() < emsg.count()) {
-        emsg.transferTo(channel, emsg.transferred());
-      }
-      assertEquals(data.length, channel.length());
-    }
-  }
-
-  @Test
-  public void testEncryptedMessageWhenTransferringZeroBytes() throws Exception {
-    try (AuthEngine client = new AuthEngine("appId", "secret", conf);
-         AuthEngine server = new AuthEngine("appId", "secret", conf)) {
-      AuthMessage clientChallenge = client.challenge();
-      AuthMessage serverResponse = server.response(clientChallenge);
-      client.deriveSessionCipher(clientChallenge, serverResponse);
-
-      TransportCipher cipher = server.sessionCipher();
-      TransportCipher.EncryptionHandler handler = new TransportCipher.EncryptionHandler(cipher);
-
-      int testDataLength = 4;
-      FileRegion region = mock(FileRegion.class);
-      when(region.count()).thenReturn((long) testDataLength);
-      // Make `region.transferTo` do nothing in first call and transfer 4 bytes in the second one.
-      when(region.transferTo(any(), anyLong())).thenAnswer(new Answer<Long>() {
-
-        private boolean firstTime = true;
-
-        @Override
-        public Long answer(InvocationOnMock invocationOnMock) throws Throwable {
-          if (firstTime) {
-            firstTime = false;
-            return 0L;
-          } else {
-            WritableByteChannel channel = invocationOnMock.getArgument(0);
-            channel.write(ByteBuffer.wrap(new byte[testDataLength]));
-            return (long) testDataLength;
-          }
-        }
-      });
-
-      TransportCipher.EncryptedMessage emsg = handler.createEncryptedMessage(region);
-      ByteArrayWritableChannel channel = new ByteArrayWritableChannel(testDataLength);
-      // "transferTo" should act correctly when the underlying FileRegion transfers 0 bytes.
-      assertEquals(0L, emsg.transferTo(channel, emsg.transferred()));
-      assertEquals(testDataLength, emsg.transferTo(channel, emsg.transferred()));
-      assertEquals(emsg.transferred(), emsg.count());
-      assertEquals(4, channel.length());
-    }
-  }
 }
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthIntegrationSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthIntegrationSuite.java
index 4a5b426b1158a..ad8bbdb4c2655 100644
--- a/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthIntegrationSuite.java
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/AuthIntegrationSuite.java
@@ -49,7 +49,7 @@ public class AuthIntegrationSuite {
   private AuthTestCtx ctx;
 
   @After
-  public void cleanUp() throws Exception {
+  public void cleanUp() {
     if (ctx != null) {
       ctx.close();
     }
@@ -57,8 +57,8 @@ public void cleanUp() throws Exception {
   }
 
   @Test
-  public void testNewAuth() throws Exception {
-    ctx = new AuthTestCtx();
+  public void testNewCtrAuth() throws Exception {
+    ctx = new AuthTestCtx(new DummyRpcHandler(), "AES/CTR/NoPadding");
     ctx.createServer("secret");
     ctx.createClient("secret");
 
@@ -68,8 +68,28 @@ public void testNewAuth() throws Exception {
   }
 
   @Test
-  public void testAuthFailure() throws Exception {
-    ctx = new AuthTestCtx();
+  public void testNewGcmAuth() throws Exception {
+    ctx = new AuthTestCtx(new DummyRpcHandler(), "AES/GCM/NoPadding");
+    ctx.createServer("secret");
+    ctx.createClient("secret");
+    ByteBuffer reply = ctx.client.sendRpcSync(JavaUtils.stringToBytes("Ping"), 5000);
+    assertEquals("Pong", JavaUtils.bytesToString(reply));
+    assertNull(ctx.authRpcHandler.saslHandler);
+  }
+
+  @Test
+  public void testCtrAuthFailure() throws Exception {
+    ctx = new AuthTestCtx(new DummyRpcHandler(), "AES/CTR/NoPadding");
+    ctx.createServer("server");
+
+    assertThrows(Exception.class, () -> ctx.createClient("client"));
+    assertFalse(ctx.authRpcHandler.isAuthenticated());
+    assertFalse(ctx.serverChannel.isActive());
+  }
+
+  @Test
+  public void testGcmAuthFailure() throws Exception {
+    ctx = new AuthTestCtx(new DummyRpcHandler(), "AES/GCM/NoPadding");
     ctx.createServer("server");
 
     assertThrows(Exception.class, () -> ctx.createClient("client"));
@@ -100,7 +120,7 @@ public void testSaslClientFallback() throws Exception {
   }
 
   @Test
-  public void testAuthReplay() throws Exception {
+  public void testCtrAuthReplay() throws Exception {
     // This test covers the case where an attacker replays a challenge message sniffed from the
     // network, but doesn't know the actual secret. The server should close the connection as
     // soon as a message is sent after authentication is performed. This is emulated by removing
@@ -110,16 +130,16 @@ public void testAuthReplay() throws Exception {
     ctx.createClient("secret");
 
     assertNotNull(ctx.client.getChannel().pipeline()
-      .remove(TransportCipher.ENCRYPTION_HANDLER_NAME));
+      .remove(CtrTransportCipher.ENCRYPTION_HANDLER_NAME));
     assertThrows(Exception.class,
       () -> ctx.client.sendRpcSync(JavaUtils.stringToBytes("Ping"), 5000));
     assertTrue(ctx.authRpcHandler.isAuthenticated());
   }
 
   @Test
-  public void testLargeMessageEncryption() throws Exception {
+  public void testLargeCtrMessageEncryption() throws Exception {
     // Use a big length to create a message that cannot be put into the encryption buffer completely
-    final int testErrorMessageLength = TransportCipher.STREAM_BUFFER_SIZE;
+    final int testErrorMessageLength = CtrTransportCipher.STREAM_BUFFER_SIZE;
     ctx = new AuthTestCtx(new RpcHandler() {
       @Override
       public void receive(
@@ -157,6 +177,23 @@ public void testValidMergedBlockMetaReqHandler() throws Exception {
     assertNotNull(ctx.authRpcHandler.getMergedBlockMetaReqHandler());
   }
 
+  private static class DummyRpcHandler extends RpcHandler {
+    @Override
+    public void receive(
+            TransportClient client,
+            ByteBuffer message,
+            RpcResponseCallback callback) {
+      String messageString = JavaUtils.bytesToString(message);
+      assertEquals("Ping", messageString);
+      callback.onSuccess(JavaUtils.stringToBytes("Pong"));
+    }
+
+    @Override
+    public StreamManager getStreamManager() {
+      return null;
+    }
+  }
+
   private static class AuthTestCtx {
 
     private final String appId = "testAppId";
@@ -169,25 +206,17 @@ private static class AuthTestCtx {
     volatile AuthRpcHandler authRpcHandler;
 
     AuthTestCtx() throws Exception {
-      this(new RpcHandler() {
-        @Override
-        public void receive(
-            TransportClient client,
-            ByteBuffer message,
-            RpcResponseCallback callback) {
-          assertEquals("Ping", JavaUtils.bytesToString(message));
-          callback.onSuccess(JavaUtils.stringToBytes("Pong"));
-        }
-
-        @Override
-        public StreamManager getStreamManager() {
-          return null;
-        }
-      });
+      this(new DummyRpcHandler());
     }
 
     AuthTestCtx(RpcHandler rpcHandler) throws Exception {
-      Map<String, String> testConf = ImmutableMap.of("spark.network.crypto.enabled", "true");
+        this(rpcHandler, "AES/CTR/NoPadding");
+    }
+
+    AuthTestCtx(RpcHandler rpcHandler, String mode) throws Exception {
+      Map<String, String> testConf = ImmutableMap.of(
+              "spark.network.crypto.enabled", "true",
+              "spark.network.crypto.cipher", mode);
       this.conf = new TransportConf("rpc", new MapConfigProvider(testConf));
       this.ctx = new TransportContext(conf, rpcHandler);
     }
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/CtrAuthEngineSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/CtrAuthEngineSuite.java
new file mode 100644
index 0000000000000..dcec2f17be532
--- /dev/null
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/CtrAuthEngineSuite.java
@@ -0,0 +1,178 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.crypto;
+
+import com.google.crypto.tink.subtle.Hex;
+import io.netty.buffer.ByteBuf;
+import io.netty.buffer.Unpooled;
+import io.netty.channel.FileRegion;
+import org.apache.spark.network.util.ByteArrayWritableChannel;
+import org.apache.spark.network.util.TransportConf;
+import org.junit.Before;
+import org.junit.Test;
+import org.mockito.invocation.InvocationOnMock;
+import org.mockito.stubbing.Answer;
+
+import java.nio.ByteBuffer;
+import java.nio.channels.WritableByteChannel;
+import java.util.Random;
+
+import static org.junit.Assert.assertArrayEquals;
+import static org.junit.Assert.assertEquals;
+import static org.mockito.Mockito.*;
+
+public class CtrAuthEngineSuite extends AuthEngineSuite {
+  private static final String inputIv = "fc6a5dc8b90a9dad8f54f08b51a59ed2";
+  private static final String outputIv = "a72709baf00785cad6329ce09f631f71";
+
+  @Before
+  public void setUp() {
+    conf = getConf(2, true);
+  }
+
+  @Test
+  public void testAuthEngine() throws Exception {
+    try (AuthEngine client = new AuthEngine("appId", "secret", conf);
+         AuthEngine server = new AuthEngine("appId", "secret", conf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+
+      TransportCipher serverCipher = server.sessionCipher();
+      TransportCipher clientCipher = client.sessionCipher();
+      assert(clientCipher instanceof CtrTransportCipher);
+      assert(serverCipher instanceof CtrTransportCipher);
+      CtrTransportCipher ctrClient = (CtrTransportCipher) clientCipher;
+      CtrTransportCipher ctrServer = (CtrTransportCipher) serverCipher;
+      assertArrayEquals(ctrServer.getInputIv(), ctrClient.getOutputIv());
+      assertArrayEquals(ctrServer.getOutputIv(), ctrClient.getInputIv());
+      assertEquals(ctrServer.getKey(), ctrClient.getKey());
+    }
+  }
+
+  @Test
+  public void testCtrFixedChallengeIvResponse() throws Exception {
+    try (AuthEngine client = new AuthEngine("appId", "secret", conf)) {
+      byte[] clientPrivateKey = Hex.decode(clientPrivate);
+      client.setClientPrivateKey(clientPrivateKey);
+      AuthMessage clientChallenge =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
+      AuthMessage serverResponse =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
+      // Verify that the client will accept an old transcript.
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = client.sessionCipher();
+      assertEquals(clientCipher.getKeyId(), derivedKeyId);
+      assert(clientCipher instanceof CtrTransportCipher);
+      CtrTransportCipher ctrTransportCipher = (CtrTransportCipher) clientCipher;
+      assertEquals(Hex.encode(ctrTransportCipher.getInputIv()), inputIv);
+      assertEquals(Hex.encode(ctrTransportCipher.getOutputIv()), outputIv);
+    }
+  }
+
+  @Test
+  public void testFixedChallengeResponseUnsafeVersion() throws Exception {
+    TransportConf v1Conf = getConf(1, true);
+    try (AuthEngine client = new AuthEngine("appId", "secret", v1Conf)) {
+      byte[] clientPrivateKey = Hex.decode(clientPrivate);
+      client.setClientPrivateKey(clientPrivateKey);
+      AuthMessage clientChallenge =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(clientChallengeHex)));
+      AuthMessage serverResponse =
+              AuthMessage.decodeMessage(ByteBuffer.wrap(Hex.decode(serverResponseHex)));
+      // Verify that the client will accept an old transcript.
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = client.sessionCipher();
+      assert(clientCipher instanceof CtrTransportCipher);
+      CtrTransportCipher ctrTransportCipher = (CtrTransportCipher) clientCipher;
+      assertEquals(Hex.encode(ctrTransportCipher.getKey().getEncoded()), unsafeDerivedKey);
+      assertEquals(Hex.encode(ctrTransportCipher.getInputIv()), inputIv);
+      assertEquals(Hex.encode(ctrTransportCipher.getOutputIv()), outputIv);
+    }
+  }
+
+  @Test
+  public void testCtrEncryptedMessage() throws Exception {
+    try (AuthEngine client = new AuthEngine("appId", "secret", conf);
+         AuthEngine server = new AuthEngine("appId", "secret", conf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+
+      TransportCipher clientCipher = server.sessionCipher();
+      assert(clientCipher instanceof CtrTransportCipher);
+      CtrTransportCipher ctrTransportCipher = (CtrTransportCipher) clientCipher;
+      CtrTransportCipher.EncryptionHandler handler =
+              new CtrTransportCipher.EncryptionHandler(ctrTransportCipher);
+
+      byte[] data = new byte[CtrTransportCipher.STREAM_BUFFER_SIZE + 1];
+      new Random().nextBytes(data);
+      ByteBuf buf = Unpooled.wrappedBuffer(data);
+
+      ByteArrayWritableChannel channel = new ByteArrayWritableChannel(data.length);
+      CtrTransportCipher.EncryptedMessage emsg = handler.createEncryptedMessage(buf);
+      while (emsg.transferred() < emsg.count()) {
+        emsg.transferTo(channel, emsg.transferred());
+      }
+      assertEquals(data.length, channel.length());
+    }
+  }
+
+  @Test
+  public void testCtrEncryptedMessageWhenTransferringZeroBytes() throws Exception {
+    try (AuthEngine client = new AuthEngine("appId", "secret", conf);
+         AuthEngine server = new AuthEngine("appId", "secret", conf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = server.sessionCipher();
+      assert(clientCipher instanceof CtrTransportCipher);
+      CtrTransportCipher ctrTransportCipher = (CtrTransportCipher) clientCipher;
+      CtrTransportCipher.EncryptionHandler handler =
+              new CtrTransportCipher.EncryptionHandler(ctrTransportCipher);
+      int testDataLength = 4;
+      FileRegion region = mock(FileRegion.class);
+      when(region.count()).thenReturn((long) testDataLength);
+      // Make `region.transferTo` do nothing in first call and transfer 4 bytes in the second one.
+      when(region.transferTo(any(), anyLong())).thenAnswer(new Answer<Long>() {
+
+        private boolean firstTime = true;
+
+        @Override
+        public Long answer(InvocationOnMock invocationOnMock) throws Throwable {
+          if (firstTime) {
+            firstTime = false;
+            return 0L;
+          } else {
+            WritableByteChannel channel = invocationOnMock.getArgument(0);
+            channel.write(ByteBuffer.wrap(new byte[testDataLength]));
+            return (long) testDataLength;
+          }
+        }
+      });
+
+      CtrTransportCipher.EncryptedMessage emsg = handler.createEncryptedMessage(region);
+      ByteArrayWritableChannel channel = new ByteArrayWritableChannel(testDataLength);
+      // "transferTo" should act correctly when the underlying FileRegion transfers 0 bytes.
+      assertEquals(0L, emsg.transferTo(channel, emsg.transferred()));
+      assertEquals(testDataLength, emsg.transferTo(channel, emsg.transferred()));
+      assertEquals(emsg.transferred(), emsg.count());
+      assertEquals(4, channel.length());
+    }
+  }
+}
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/GcmAuthEngineSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/GcmAuthEngineSuite.java
new file mode 100644
index 0000000000000..f25277aa1a997
--- /dev/null
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/GcmAuthEngineSuite.java
@@ -0,0 +1,343 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.crypto;
+
+import io.netty.buffer.ByteBuf;
+import io.netty.buffer.Unpooled;
+import io.netty.channel.ChannelHandlerContext;
+import io.netty.channel.ChannelPromise;
+import org.apache.spark.network.util.AbstractFileRegion;
+import org.apache.spark.network.util.ByteBufferWriteableChannel;
+import org.apache.spark.network.util.TransportConf;
+import org.junit.Before;
+import org.junit.Test;
+import org.mockito.ArgumentCaptor;
+
+import javax.crypto.AEADBadTagException;
+import java.io.IOException;
+import java.nio.Buffer;
+import java.nio.ByteBuffer;
+import java.nio.channels.WritableByteChannel;
+import java.util.Arrays;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertThrows;
+import static org.mockito.Mockito.*;
+
+public class GcmAuthEngineSuite extends AuthEngineSuite {
+
+  @Before
+  public void setUp() {
+    // Uses GCM mode
+    conf = getConf(2, false);
+  }
+
+  @Test
+  public void testGcmEncryptedMessage() throws Exception {
+    TransportConf gcmConf = getConf(2, false);
+    try (AuthEngine client = new AuthEngine("appId", "secret", gcmConf);
+         AuthEngine server = new AuthEngine("appId", "secret", gcmConf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = server.sessionCipher();
+      // Verify that it derives a GcmTransportCipher
+      assert (clientCipher instanceof GcmTransportCipher);
+      GcmTransportCipher gcmTransportCipher = (GcmTransportCipher) clientCipher;
+      GcmTransportCipher.EncryptionHandler encryptionHandler =
+              gcmTransportCipher.getEncryptionHandler();
+      GcmTransportCipher.DecryptionHandler decryptionHandler =
+              gcmTransportCipher.getDecryptionHandler();
+      // Allocating 1.5x the buffer size to test multiple segments and a fractional segment.
+      int plaintextSegmentSize = GcmTransportCipher.CIPHERTEXT_BUFFER_SIZE - 16;
+      byte[] data = new byte[plaintextSegmentSize + (plaintextSegmentSize / 2)];
+      // Just writing some bytes.
+      data[0] = 'a';
+      data[data.length / 2] = 'b';
+      data[data.length - 10] = 'c';
+      ByteBuf buf = Unpooled.wrappedBuffer(data);
+
+      // Mock the context and capture the arguments passed to it
+      ChannelHandlerContext ctx = mock(ChannelHandlerContext.class);
+      ChannelPromise promise = mock(ChannelPromise.class);
+      ArgumentCaptor<GcmTransportCipher.GcmEncryptedMessage> captorWrappedEncrypted =
+              ArgumentCaptor.forClass(GcmTransportCipher.GcmEncryptedMessage.class);
+      encryptionHandler.write(ctx, buf, promise);
+      verify(ctx).write(captorWrappedEncrypted.capture(), eq(promise));
+
+      // Get the encrypted value and pass it to the decryption handler
+      GcmTransportCipher.GcmEncryptedMessage encrypted =
+              captorWrappedEncrypted.getValue();
+      ByteBuffer ciphertextBuffer =
+              ByteBuffer.allocate((int) encrypted.count());
+      ByteBufferWriteableChannel channel =
+              new ByteBufferWriteableChannel(ciphertextBuffer);
+      encrypted.transferTo(channel, 0);
+      ((Buffer) ciphertextBuffer).flip();
+      ByteBuf ciphertext = Unpooled.wrappedBuffer(ciphertextBuffer);
+
+      // Capture the decrypted values and verify them
+      ArgumentCaptor<ByteBuf> captorPlaintext = ArgumentCaptor.forClass(ByteBuf.class);
+      decryptionHandler.channelRead(ctx, ciphertext);
+      verify(ctx, times(2))
+              .fireChannelRead(captorPlaintext.capture());
+      ByteBuf lastPlaintextSegment = captorPlaintext.getValue();
+      assertEquals(plaintextSegmentSize/2,
+              lastPlaintextSegment.readableBytes());
+      assertEquals('c',
+              lastPlaintextSegment.getByte((plaintextSegmentSize/2) - 10));
+    }
+  }
+
+  static class FakeRegion extends AbstractFileRegion {
+    private final ByteBuffer[] source;
+    private int sourcePosition;
+    private final long count;
+
+    FakeRegion(ByteBuffer... source) {
+      this.source = source;
+      sourcePosition = 0;
+      count = remaining();
+    }
+
+    private long remaining() {
+      long remaining = 0;
+      for (ByteBuffer buffer : source) {
+        remaining += buffer.remaining();
+      }
+      return remaining;
+    }
+
+    @Override
+    public long position() {
+      return 0;
+    }
+
+    @Override
+    public long transferred() {
+      return count - remaining();
+    }
+
+    @Override
+    public long count() {
+      return count;
+    }
+
+    @Override
+    public long transferTo(WritableByteChannel target, long position) throws IOException {
+      if (sourcePosition < source.length) {
+        ByteBuffer currentBuffer = source[sourcePosition];
+        long written = target.write(currentBuffer);
+        if (!currentBuffer.hasRemaining()) {
+          sourcePosition++;
+        }
+        return written;
+      } else {
+        return 0;
+      }
+    }
+
+    @Override
+    protected void deallocate() {
+    }
+  }
+
+  private static ByteBuffer getTestByteBuf(int size, byte fill) {
+    byte[] data = new byte[size];
+    Arrays.fill(data, fill);
+    return ByteBuffer.wrap(data);
+  }
+
+  @Test
+  public void testGcmEncryptedMessageFileRegion() throws Exception {
+    TransportConf gcmConf = getConf(2, false);
+    try (AuthEngine client = new AuthEngine("appId", "secret", gcmConf);
+         AuthEngine server = new AuthEngine("appId", "secret", gcmConf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = server.sessionCipher();
+      // Verify that it derives a GcmTransportCipher
+      assert (clientCipher instanceof GcmTransportCipher);
+      GcmTransportCipher gcmTransportCipher = (GcmTransportCipher) clientCipher;
+      GcmTransportCipher.EncryptionHandler encryptionHandler =
+              gcmTransportCipher.getEncryptionHandler();
+      GcmTransportCipher.DecryptionHandler decryptionHandler =
+              gcmTransportCipher.getDecryptionHandler();
+      // Allocating 1.5x the buffer size to test multiple segments and a fractional segment.
+      int plaintextSegmentSize = GcmTransportCipher.CIPHERTEXT_BUFFER_SIZE - 16;
+      int halfSegmentSize = plaintextSegmentSize / 2;
+      int totalSize = plaintextSegmentSize + halfSegmentSize;
+
+      // Set up some fragmented segments to test
+      ByteBuffer halfSegment = getTestByteBuf(halfSegmentSize, (byte) 'a');
+      int smallFragmentSize = 128;
+      ByteBuffer smallFragment = getTestByteBuf(smallFragmentSize, (byte) 'b');
+      int remainderSize = totalSize - halfSegmentSize - smallFragmentSize;
+      ByteBuffer remainder = getTestByteBuf(remainderSize, (byte) 'c');
+      FakeRegion fakeRegion = new FakeRegion(halfSegment, smallFragment, remainder);
+      assertEquals(totalSize, fakeRegion.count());
+
+      ChannelHandlerContext ctx = mock(ChannelHandlerContext.class);
+      ChannelPromise promise = mock(ChannelPromise.class);
+      ArgumentCaptor<GcmTransportCipher.GcmEncryptedMessage> captorWrappedEncrypted =
+              ArgumentCaptor.forClass(GcmTransportCipher.GcmEncryptedMessage.class);
+      encryptionHandler.write(ctx, fakeRegion, promise);
+      verify(ctx).write(captorWrappedEncrypted.capture(), eq(promise));
+
+      // Get the encrypted value and pass it to the decryption handler
+      GcmTransportCipher.GcmEncryptedMessage encrypted =
+              captorWrappedEncrypted.getValue();
+      ByteBuffer ciphertextBuffer =
+              ByteBuffer.allocate((int) encrypted.count());
+      ByteBufferWriteableChannel channel =
+              new ByteBufferWriteableChannel(ciphertextBuffer);
+
+      // We'll simulate the FileRegion only transferring half a segment.
+      // The encrypted message should buffer the partial segment plaintext.
+      long ciphertextTransferred = 0;
+      while (ciphertextTransferred < encrypted.count()) {
+        long chunkTransferred = encrypted.transferTo(channel, 0);
+        ciphertextTransferred += chunkTransferred;
+      }
+      assertEquals(encrypted.count(), ciphertextTransferred);
+
+      ((Buffer) ciphertextBuffer).flip();
+      ByteBuf ciphertext = Unpooled.wrappedBuffer(ciphertextBuffer);
+
+      // Capture the decrypted values and verify them
+      ArgumentCaptor<ByteBuf> captorPlaintext = ArgumentCaptor.forClass(ByteBuf.class);
+      decryptionHandler.channelRead(ctx, ciphertext);
+      verify(ctx, times(2)).fireChannelRead(captorPlaintext.capture());
+      ByteBuf plaintext = captorPlaintext.getValue();
+      // We expect this to be the last partial plaintext segment
+      int expectedLength = totalSize % plaintextSegmentSize;
+      assertEquals(expectedLength, plaintext.readableBytes());
+      // This will be the "remainder" segment that is filled to 'c'
+      assertEquals('c', plaintext.getByte(0));
+    }
+  }
+
+
+  @Test
+  public void testGcmUnalignedDecryption() throws Exception {
+    TransportConf gcmConf = getConf(2, false);
+    try (AuthEngine client = new AuthEngine("appId", "secret", gcmConf);
+         AuthEngine server = new AuthEngine("appId", "secret", gcmConf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+      TransportCipher clientCipher = server.sessionCipher();
+      // Verify that it derives a GcmTransportCipher
+      assert (clientCipher instanceof GcmTransportCipher);
+      GcmTransportCipher gcmTransportCipher = (GcmTransportCipher) clientCipher;
+      GcmTransportCipher.EncryptionHandler encryptionHandler =
+              gcmTransportCipher.getEncryptionHandler();
+      GcmTransportCipher.DecryptionHandler decryptionHandler =
+              gcmTransportCipher.getDecryptionHandler();
+      // Allocating 1.5x the buffer size to test multiple segments and a fractional segment.
+      int plaintextSegmentSize = GcmTransportCipher.CIPHERTEXT_BUFFER_SIZE - 16;
+      int plaintextSize = plaintextSegmentSize + (plaintextSegmentSize / 2);
+      byte[] data = new byte[plaintextSize];
+      Arrays.fill(data, (byte) 'x');
+      ByteBuf buf = Unpooled.wrappedBuffer(data);
+
+      // Mock the context and capture the arguments passed to it
+      ChannelHandlerContext ctx = mock(ChannelHandlerContext.class);
+      ChannelPromise promise = mock(ChannelPromise.class);
+      ArgumentCaptor<GcmTransportCipher.GcmEncryptedMessage> captorWrappedEncrypted =
+              ArgumentCaptor.forClass(GcmTransportCipher.GcmEncryptedMessage.class);
+      encryptionHandler.write(ctx, buf, promise);
+      verify(ctx).write(captorWrappedEncrypted.capture(), eq(promise));
+
+      // Get the encrypted value and pass it to the decryption handler
+      GcmTransportCipher.GcmEncryptedMessage encrypted =
+              captorWrappedEncrypted.getValue();
+      ByteBuffer ciphertextBuffer =
+              ByteBuffer.allocate((int) encrypted.count());
+      ByteBufferWriteableChannel channel =
+              new ByteBufferWriteableChannel(ciphertextBuffer);
+      encrypted.transferTo(channel, 0);
+      ((Buffer) ciphertextBuffer).flip();
+      ByteBuf ciphertext = Unpooled.wrappedBuffer(ciphertextBuffer);
+
+      // Split up the ciphertext into some different sized chunks
+      int firstChunkSize = plaintextSize / 2;
+      ByteBuf mockCiphertext = spy(ciphertext);
+      when(mockCiphertext.readableBytes())
+              .thenReturn(firstChunkSize, firstChunkSize).thenCallRealMethod();
+
+      // Capture the decrypted values and verify them
+      ArgumentCaptor<ByteBuf> captorPlaintext = ArgumentCaptor.forClass(ByteBuf.class);
+      decryptionHandler.channelRead(ctx, mockCiphertext);
+      verify(ctx, times(2)).fireChannelRead(captorPlaintext.capture());
+      ByteBuf lastPlaintextSegment = captorPlaintext.getValue();
+      assertEquals(plaintextSegmentSize/2,
+              lastPlaintextSegment.readableBytes());
+      assertEquals('x',
+              lastPlaintextSegment.getByte((plaintextSegmentSize/2) - 10));
+    }
+  }
+
+  @Test
+  public void testCorruptGcmEncryptedMessage() throws Exception {
+    TransportConf gcmConf = getConf(2, false);
+
+    try (AuthEngine client = new AuthEngine("appId", "secret", gcmConf);
+         AuthEngine server = new AuthEngine("appId", "secret", gcmConf)) {
+      AuthMessage clientChallenge = client.challenge();
+      AuthMessage serverResponse = server.response(clientChallenge);
+      client.deriveSessionCipher(clientChallenge, serverResponse);
+
+      TransportCipher clientCipher = server.sessionCipher();
+      assert (clientCipher instanceof GcmTransportCipher);
+
+      GcmTransportCipher gcmTransportCipher = (GcmTransportCipher) clientCipher;
+      GcmTransportCipher.EncryptionHandler encryptionHandler =
+              gcmTransportCipher.getEncryptionHandler();
+      GcmTransportCipher.DecryptionHandler decryptionHandler =
+              gcmTransportCipher.getDecryptionHandler();
+      byte[] zeroData = new byte[1024 * 32];
+      // Just writing some bytes.
+      ByteBuf buf = Unpooled.wrappedBuffer(zeroData);
+
+      // Mock the context and capture the arguments passed to it
+      ChannelHandlerContext ctx = mock(ChannelHandlerContext.class);
+      ChannelPromise promise = mock(ChannelPromise.class);
+      ArgumentCaptor<GcmTransportCipher.GcmEncryptedMessage> captorWrappedEncrypted =
+              ArgumentCaptor.forClass(GcmTransportCipher.GcmEncryptedMessage.class);
+      encryptionHandler.write(ctx, buf, promise);
+      verify(ctx).write(captorWrappedEncrypted.capture(), eq(promise));
+
+      GcmTransportCipher.GcmEncryptedMessage encrypted =
+              captorWrappedEncrypted.getValue();
+      ByteBuffer ciphertextBuffer =
+              ByteBuffer.allocate((int) encrypted.count());
+      ByteBufferWriteableChannel channel =
+              new ByteBufferWriteableChannel(ciphertextBuffer);
+      encrypted.transferTo(channel, 0);
+      ((Buffer) ciphertextBuffer).flip();
+      ByteBuf ciphertext = Unpooled.wrappedBuffer(ciphertextBuffer);
+
+      byte b = ciphertext.getByte(100);
+      // Inverting the bits of the 100th bit
+      ciphertext.setByte(100, ~b & 0xFF);
+      assertThrows(AEADBadTagException.class, () -> decryptionHandler.channelRead(ctx, ciphertext));
+    }
+  }
+}
diff --git a/common/network-common/src/test/java/org/apache/spark/network/crypto/TransportCipherSuite.java b/common/network-common/src/test/java/org/apache/spark/network/crypto/TransportCipherSuite.java
index cde5c1c1022c4..35f7886e174a9 100644
--- a/common/network-common/src/test/java/org/apache/spark/network/crypto/TransportCipherSuite.java
+++ b/common/network-common/src/test/java/org/apache/spark/network/crypto/TransportCipherSuite.java
@@ -41,10 +41,10 @@
 public class TransportCipherSuite {
 
   @Test
-  public void testBufferNotLeaksOnInternalError() throws IOException {
+  public void testCtrBufferNotLeaksOnInternalError() throws IOException {
     String algorithm = "TestAlgorithm";
     TransportConf conf = new TransportConf("Test", MapConfigProvider.EMPTY);
-    TransportCipher cipher = new TransportCipher(conf.cryptoConf(), conf.cipherTransformation(),
+    CtrTransportCipher cipher = new CtrTransportCipher(conf.cryptoConf(),
       new SecretKeySpec(new byte[256], algorithm), new byte[0], new byte[0]) {
 
       @Override
diff --git a/docs/security.md b/docs/security.md
index c0a4b4da03030..a9065a225017e 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -175,6 +175,15 @@ The following table describes the different options available for configuring th
   </td>
   <td>2.2.0</td>
 </tr>
+<tr>
+  <td><code>spark.network.crypto.cipher</code></td>
+  <td>AES/CTR/NoPadding</td>
+  <td>
+    Cipher mode to use. Defaults "AES/CTR/NoPadding" for backward compatibility, which is not authenticated. 
+    Recommended to use "AES/GCM/NoPadding", which is an authenticated encryption mode.
+  </td>
+  <td>4.0.0</td>
+</tr>
 <tr>
   <td><code>spark.network.crypto.authEngineVersion</code></td>
   <td>1</td>

From e6d5ddd2e8461b0c22f5bfabf334d59088d863cc Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 27 Jun 2024 12:24:05 +0900
Subject: [PATCH 739/986] Revert "[SPARK-48639][CONNECT][PYTHON] Add Origin to
 Relation.RelationCommon"

This reverts commit 0db5bdecfa6cbfff1be7690bb783a858989776b9.
---
 .../protobuf/spark/connect/relations.proto    |   4 +-
 .../sql/connect/proto/relations_pb2.py        | 264 +++++++++---------
 .../sql/connect/proto/relations_pb2.pyi       |   9 +-
 3 files changed, 142 insertions(+), 135 deletions(-)

diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
index 8b384728983bd..f7f1315ede0f8 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
@@ -103,8 +103,8 @@ message Unknown {}
 
 // Common metadata of all relations.
 message RelationCommon {
-  // (Optional) Shared relation metadata.
-  reserved 1;
+  // (Required) Shared relation metadata.
+  string source_info = 1;
 
   // (Optional) A per-client globally unique id for a given connect plan.
   optional int64 plan_id = 2;
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py
index 7dd494db86959..3f7e57949373b 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.py
+++ b/python/pyspark/sql/connect/proto/relations_pb2.py
@@ -35,7 +35,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xe1\x18\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n 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 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
@@ -61,135 +61,135 @@
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     _UNKNOWN._serialized_end = 3345
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-    _SQL._serialized_end = 3645
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-    _READ._serialized_end = 4311
-    _READ_NAMEDTABLE._serialized_start = 3826
-    _READ_NAMEDTABLE._serialized_end = 4018
-    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3960
-    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 4018
-    _READ_DATASOURCE._serialized_start = 4021
-    _READ_DATASOURCE._serialized_end = 4298
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3960
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 4018
-    _PROJECT._serialized_start = 4313
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-    _JOIN._serialized_start = 4547
-    _JOIN._serialized_end = 5208
-    _JOIN_JOINDATATYPE._serialized_start = 4886
-    _JOIN_JOINDATATYPE._serialized_end = 4978
-    _JOIN_JOINTYPE._serialized_start = 4981
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-    _SETOPERATION._serialized_start = 5211
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-    _SETOPERATION_SETOPTYPE._serialized_end = 5641
-    _LIMIT._serialized_start = 5692
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-    _AGGREGATE._serialized_start = 5929
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-    _AGGREGATE_PIVOT._serialized_start = 6268
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-    _SORT._serialized_start = 6514
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-    _STATFREQITEMS._serialized_start = 8916
-    _STATFREQITEMS._serialized_end = 9041
-    _STATSAMPLEBY._serialized_start = 9044
-    _STATSAMPLEBY._serialized_end = 9353
-    _STATSAMPLEBY_FRACTION._serialized_start = 9245
-    _STATSAMPLEBY_FRACTION._serialized_end = 9344
-    _NAFILL._serialized_start = 9356
-    _NAFILL._serialized_end = 9490
-    _NADROP._serialized_start = 9493
-    _NADROP._serialized_end = 9627
-    _NAREPLACE._serialized_start = 9630
-    _NAREPLACE._serialized_end = 9926
-    _NAREPLACE_REPLACEMENT._serialized_start = 9785
-    _NAREPLACE_REPLACEMENT._serialized_end = 9926
-    _TODF._serialized_start = 9928
-    _TODF._serialized_end = 10016
-    _WITHCOLUMNSRENAMED._serialized_start = 10019
-    _WITHCOLUMNSRENAMED._serialized_end = 10258
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10191
-    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10258
-    _WITHCOLUMNS._serialized_start = 10260
-    _WITHCOLUMNS._serialized_end = 10379
-    _WITHWATERMARK._serialized_start = 10382
-    _WITHWATERMARK._serialized_end = 10516
-    _HINT._serialized_start = 10519
-    _HINT._serialized_end = 10651
-    _UNPIVOT._serialized_start = 10654
-    _UNPIVOT._serialized_end = 10981
-    _UNPIVOT_VALUES._serialized_start = 10911
-    _UNPIVOT_VALUES._serialized_end = 10970
-    _TOSCHEMA._serialized_start = 10983
-    _TOSCHEMA._serialized_end = 11089
-    _REPARTITIONBYEXPRESSION._serialized_start = 11092
-    _REPARTITIONBYEXPRESSION._serialized_end = 11295
-    _MAPPARTITIONS._serialized_start = 11298
-    _MAPPARTITIONS._serialized_end = 11479
-    _GROUPMAP._serialized_start = 11482
-    _GROUPMAP._serialized_end = 12117
-    _COGROUPMAP._serialized_start = 12120
-    _COGROUPMAP._serialized_end = 12646
-    _APPLYINPANDASWITHSTATE._serialized_start = 12649
-    _APPLYINPANDASWITHSTATE._serialized_end = 13006
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13009
-    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13253
-    _PYTHONUDTF._serialized_start = 13256
-    _PYTHONUDTF._serialized_end = 13433
-    _COLLECTMETRICS._serialized_start = 13436
-    _COLLECTMETRICS._serialized_end = 13572
-    _PARSE._serialized_start = 13575
-    _PARSE._serialized_end = 13963
-    _PARSE_OPTIONSENTRY._serialized_start = 3960
-    _PARSE_OPTIONSENTRY._serialized_end = 4018
-    _PARSE_PARSEFORMAT._serialized_start = 13864
-    _PARSE_PARSEFORMAT._serialized_end = 13952
+    _RELATIONCOMMON._serialized_end = 3438
+    _SQL._serialized_start = 3441
+    _SQL._serialized_end = 3672
+    _SQL_ARGSENTRY._serialized_start = 3582
+    _SQL_ARGSENTRY._serialized_end = 3672
+    _READ._serialized_start = 3675
+    _READ._serialized_end = 4338
+    _READ_NAMEDTABLE._serialized_start = 3853
+    _READ_NAMEDTABLE._serialized_end = 4045
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3987
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 4045
+    _READ_DATASOURCE._serialized_start = 4048
+    _READ_DATASOURCE._serialized_end = 4325
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3987
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 4045
+    _PROJECT._serialized_start = 4340
+    _PROJECT._serialized_end = 4457
+    _FILTER._serialized_start = 4459
+    _FILTER._serialized_end = 4571
+    _JOIN._serialized_start = 4574
+    _JOIN._serialized_end = 5235
+    _JOIN_JOINDATATYPE._serialized_start = 4913
+    _JOIN_JOINDATATYPE._serialized_end = 5005
+    _JOIN_JOINTYPE._serialized_start = 5008
+    _JOIN_JOINTYPE._serialized_end = 5216
+    _SETOPERATION._serialized_start = 5238
+    _SETOPERATION._serialized_end = 5717
+    _SETOPERATION_SETOPTYPE._serialized_start = 5554
+    _SETOPERATION_SETOPTYPE._serialized_end = 5668
+    _LIMIT._serialized_start = 5719
+    _LIMIT._serialized_end = 5795
+    _OFFSET._serialized_start = 5797
+    _OFFSET._serialized_end = 5876
+    _TAIL._serialized_start = 5878
+    _TAIL._serialized_end = 5953
+    _AGGREGATE._serialized_start = 5956
+    _AGGREGATE._serialized_end = 6538
+    _AGGREGATE_PIVOT._serialized_start = 6295
+    _AGGREGATE_PIVOT._serialized_end = 6406
+    _AGGREGATE_GROUPTYPE._serialized_start = 6409
+    _AGGREGATE_GROUPTYPE._serialized_end = 6538
+    _SORT._serialized_start = 6541
+    _SORT._serialized_end = 6701
+    _DROP._serialized_start = 6704
+    _DROP._serialized_end = 6845
+    _DEDUPLICATE._serialized_start = 6848
+    _DEDUPLICATE._serialized_end = 7088
+    _LOCALRELATION._serialized_start = 7090
+    _LOCALRELATION._serialized_end = 7179
+    _CACHEDLOCALRELATION._serialized_start = 7181
+    _CACHEDLOCALRELATION._serialized_end = 7253
+    _CACHEDREMOTERELATION._serialized_start = 7255
+    _CACHEDREMOTERELATION._serialized_end = 7310
+    _SAMPLE._serialized_start = 7313
+    _SAMPLE._serialized_end = 7586
+    _RANGE._serialized_start = 7589
+    _RANGE._serialized_end = 7734
+    _SUBQUERYALIAS._serialized_start = 7736
+    _SUBQUERYALIAS._serialized_end = 7850
+    _REPARTITION._serialized_start = 7853
+    _REPARTITION._serialized_end = 7995
+    _SHOWSTRING._serialized_start = 7998
+    _SHOWSTRING._serialized_end = 8140
+    _HTMLSTRING._serialized_start = 8142
+    _HTMLSTRING._serialized_end = 8256
+    _STATSUMMARY._serialized_start = 8258
+    _STATSUMMARY._serialized_end = 8350
+    _STATDESCRIBE._serialized_start = 8352
+    _STATDESCRIBE._serialized_end = 8433
+    _STATCROSSTAB._serialized_start = 8435
+    _STATCROSSTAB._serialized_end = 8536
+    _STATCOV._serialized_start = 8538
+    _STATCOV._serialized_end = 8634
+    _STATCORR._serialized_start = 8637
+    _STATCORR._serialized_end = 8774
+    _STATAPPROXQUANTILE._serialized_start = 8777
+    _STATAPPROXQUANTILE._serialized_end = 8941
+    _STATFREQITEMS._serialized_start = 8943
+    _STATFREQITEMS._serialized_end = 9068
+    _STATSAMPLEBY._serialized_start = 9071
+    _STATSAMPLEBY._serialized_end = 9380
+    _STATSAMPLEBY_FRACTION._serialized_start = 9272
+    _STATSAMPLEBY_FRACTION._serialized_end = 9371
+    _NAFILL._serialized_start = 9383
+    _NAFILL._serialized_end = 9517
+    _NADROP._serialized_start = 9520
+    _NADROP._serialized_end = 9654
+    _NAREPLACE._serialized_start = 9657
+    _NAREPLACE._serialized_end = 9953
+    _NAREPLACE_REPLACEMENT._serialized_start = 9812
+    _NAREPLACE_REPLACEMENT._serialized_end = 9953
+    _TODF._serialized_start = 9955
+    _TODF._serialized_end = 10043
+    _WITHCOLUMNSRENAMED._serialized_start = 10046
+    _WITHCOLUMNSRENAMED._serialized_end = 10285
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 10218
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 10285
+    _WITHCOLUMNS._serialized_start = 10287
+    _WITHCOLUMNS._serialized_end = 10406
+    _WITHWATERMARK._serialized_start = 10409
+    _WITHWATERMARK._serialized_end = 10543
+    _HINT._serialized_start = 10546
+    _HINT._serialized_end = 10678
+    _UNPIVOT._serialized_start = 10681
+    _UNPIVOT._serialized_end = 11008
+    _UNPIVOT_VALUES._serialized_start = 10938
+    _UNPIVOT_VALUES._serialized_end = 10997
+    _TOSCHEMA._serialized_start = 11010
+    _TOSCHEMA._serialized_end = 11116
+    _REPARTITIONBYEXPRESSION._serialized_start = 11119
+    _REPARTITIONBYEXPRESSION._serialized_end = 11322
+    _MAPPARTITIONS._serialized_start = 11325
+    _MAPPARTITIONS._serialized_end = 11506
+    _GROUPMAP._serialized_start = 11509
+    _GROUPMAP._serialized_end = 12144
+    _COGROUPMAP._serialized_start = 12147
+    _COGROUPMAP._serialized_end = 12673
+    _APPLYINPANDASWITHSTATE._serialized_start = 12676
+    _APPLYINPANDASWITHSTATE._serialized_end = 13033
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_start = 13036
+    _COMMONINLINEUSERDEFINEDTABLEFUNCTION._serialized_end = 13280
+    _PYTHONUDTF._serialized_start = 13283
+    _PYTHONUDTF._serialized_end = 13460
+    _COLLECTMETRICS._serialized_start = 13463
+    _COLLECTMETRICS._serialized_end = 13599
+    _PARSE._serialized_start = 13602
+    _PARSE._serialized_end = 13990
+    _PARSE_OPTIONSENTRY._serialized_start = 3987
+    _PARSE_OPTIONSENTRY._serialized_end = 4045
+    _PARSE_PARSEFORMAT._serialized_start = 13891
+    _PARSE_PARSEFORMAT._serialized_end = 13979
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi
index 1c0036afbc436..007b92ef5f42d 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -579,19 +579,26 @@ class RelationCommon(google.protobuf.message.Message):
 
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
+    SOURCE_INFO_FIELD_NUMBER: builtins.int
     PLAN_ID_FIELD_NUMBER: builtins.int
+    source_info: builtins.str
+    """(Required) Shared relation metadata."""
     plan_id: builtins.int
     """(Optional) A per-client globally unique id for a given connect plan."""
     def __init__(
         self,
         *,
+        source_info: builtins.str = ...,
         plan_id: builtins.int | None = ...,
     ) -> None: ...
     def HasField(
         self, field_name: typing_extensions.Literal["_plan_id", b"_plan_id", "plan_id", b"plan_id"]
     ) -> builtins.bool: ...
     def ClearField(
-        self, field_name: typing_extensions.Literal["_plan_id", b"_plan_id", "plan_id", b"plan_id"]
+        self,
+        field_name: typing_extensions.Literal[
+            "_plan_id", b"_plan_id", "plan_id", b"plan_id", "source_info", b"source_info"
+        ],
     ) -> None: ...
     def WhichOneof(
         self, oneof_group: typing_extensions.Literal["_plan_id", b"_plan_id"]

From 6cee8e1f1c27a9a5f25a0263a8230981589df4bd Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 27 Jun 2024 15:21:38 +0800
Subject: [PATCH 740/986] [SPARK-47927][SQL][FOLLOWUP] fix ScalaUDF output
 nullability

This is a followup of https://github.com/apache/spark/pull/46156 , to fix the wrong nullability of ScalaUDF output.

fix nullability

no

new test

no

Closes #47081 from cloud-fan/udf.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d89aad3ada5795034ba039eb18e54c3313ed61f4)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../apache/spark/sql/catalyst/analysis/Analyzer.scala |  9 +++++++--
 .../spark/sql/catalyst/analysis/AnalysisSuite.scala   | 11 +++++++++++
 .../test/scala/org/apache/spark/sql/UDFSuite.scala    |  7 +++++++
 3 files changed, 25 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 5890a9692e203..e63621d6a236b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -341,10 +341,15 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       new ResolveHints.RemoveAllHints),
     Batch("Nondeterministic", Once,
       PullOutNondeterministic),
-    Batch("UpdateNullability", Once,
+    Batch("ScalaUDF Null Handling", fixedPoint,
+      // `HandleNullInputsForUDF` may wrap the `ScalaUDF` with `If` expression to return null for
+      // null inputs, so the result can be null even if `ScalaUDF#nullable` is false. We need to
+      // run `UpdateAttributeNullability` to update nullability of the UDF output attribute in
+      // downstream operators. After updating attribute nullability, `ScalaUDF`s in downstream
+      // operators may need null handling as well, so we should run these two rules repeatedly.
+      HandleNullInputsForUDF,
       UpdateAttributeNullability),
     Batch("UDF", Once,
-      HandleNullInputsForUDF,
       ResolveEncodersInUDF),
     Batch("Subquery", Once,
       UpdateOuterReferences),
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 8e5329d986ef7..1ed83bf14be7d 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1706,4 +1706,15 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     assert(refs.head.resolved)
     assert(refs.head.isStreaming)
   }
+
+  test("SPARK-47927: ScalaUDF output nullability") {
+    val udf = ScalaUDF(
+      function = (i: Int) => i + 1,
+      dataType = IntegerType,
+      children = $"a" :: Nil,
+      nullable = false,
+      inputEncoders = Seq(Some(ExpressionEncoder[Int]().resolveAndBind())))
+    val plan = testRelation.select(udf.as("u")).select($"u").analyze
+    assert(plan.output.head.nullable)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
index 56bc707450e31..9f8e979e3fba7 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
@@ -1078,4 +1078,11 @@ class UDFSuite extends QueryTest with SharedSparkSession {
         .select(f(struct(ds2("value").as("_1")))),
       Row(Row(null)))
   }
+
+  test("SPARK-47927: ScalaUDF null handling") {
+    val f = udf[Int, Int](_ + 1)
+    val df = Seq(Some(1), None).toDF("c")
+      .select(f($"c").as("f"), f($"f"))
+    checkAnswer(df, Seq(Row(2, 3), Row(null, null)))
+  }
 }

From d35af54842d17725aea7208c9d7b170b33a95012 Mon Sep 17 00:00:00 2001
From: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Date: Thu, 27 Jun 2024 15:31:20 +0800
Subject: [PATCH 741/986] [SPARK-48428][SQL] Fix IllegalStateException in
 NestedColumnAliasing

### What changes were proposed in this pull request?

In #35170 SPARK-37855 and #32301 SPARK-35194 introduced conditions for ExtractValues that can currently not be handled. The considtion is introduced after `collectRootReferenceAndExtractValue` and just removes these candidates. This is problematic since these expressions might have contained `AttributeReference` that needed to not do an incorrect aliasing. This fixes this family of bugs by moving the conditions into the function `collectRootReferenceAndExtractValue`.

### Why are the changes needed?

The current code leads to `IllegalStateException` runtime failures.

### Does this PR introduce _any_ user-facing change?

Yes, fixes a bug.

### How was this patch tested?

Existing and new unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #46756 from eejbyfeldt/SPARK-48428.

Authored-by: Emil Ejbyfeldt <eejbyfeldt@liveintent.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit b11608c96f8aeeaa03c6e5038700483266b32448)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../optimizer/NestedColumnAliasing.scala      | 16 +++++++-------
 .../optimizer/NestedColumnAliasingSuite.scala | 21 +++++++++++++++++++
 2 files changed, 29 insertions(+), 8 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
index 5d4fcf772b8fc..778813e4e9c63 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
@@ -217,6 +217,11 @@ object NestedColumnAliasing {
     case _ => false
   }
 
+  private def canAlias(ev: Expression): Boolean = {
+    // we can not alias the attr from lambda variable whose expr id is not available
+    !ev.exists(_.isInstanceOf[NamedLambdaVariable]) && ev.references.size == 1
+  }
+
   /**
    * Returns two types of expressions:
    * - Root references that are individually accessed
@@ -225,11 +230,11 @@ object NestedColumnAliasing {
    */
   private def collectRootReferenceAndExtractValue(e: Expression): Seq[Expression] = e match {
     case _: AttributeReference => Seq(e)
-    case GetStructField(_: ExtractValue | _: AttributeReference, _, _) => Seq(e)
+    case GetStructField(_: ExtractValue | _: AttributeReference, _, _) if canAlias(e) => Seq(e)
     case GetArrayStructFields(_: MapValues |
                               _: MapKeys |
                               _: ExtractValue |
-                              _: AttributeReference, _, _, _, _) => Seq(e)
+                              _: AttributeReference, _, _, _, _) if canAlias(e) => Seq(e)
     case es if es.children.nonEmpty => es.children.flatMap(collectRootReferenceAndExtractValue)
     case _ => Seq.empty
   }
@@ -248,13 +253,8 @@ object NestedColumnAliasing {
     val otherRootReferences = new mutable.ArrayBuffer[AttributeReference]()
     exprList.foreach { e =>
       extractor(e).foreach {
-        // we can not alias the attr from lambda variable whose expr id is not available
-        case ev: ExtractValue if !ev.exists(_.isInstanceOf[NamedLambdaVariable]) =>
-          if (ev.references.size == 1) {
-            nestedFieldReferences.append(ev)
-          }
+        case ev: ExtractValue => nestedFieldReferences.append(ev)
         case ar: AttributeReference => otherRootReferences.append(ar)
-        case _ => // ignore
       }
     }
     val exclusiveAttrSet = AttributeSet(exclusiveAttrs ++ otherRootReferences)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
index cb6b9ac8d8bec..6ce394dbd68be 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
@@ -861,6 +861,27 @@ class NestedColumnAliasingSuite extends SchemaPruningTest {
     // The plan is expected to be unchanged.
     comparePlans(plan, RemoveNoopOperators.apply(optimized.get))
   }
+
+  test("SPARK-48428: Do not pushdown when attr is used in expression with mutliple references") {
+    val query = contact
+      .limit(5)
+      .select(
+        GetStructField(GetStructField(CreateStruct(Seq($"id", $"employer")), 1), 0),
+        $"employer.id")
+      .analyze
+
+    val optimized = Optimize.execute(query)
+
+    val expected = contact
+      .select($"id", $"employer")
+      .limit(5)
+      .select(
+        GetStructField(GetStructField(CreateStruct(Seq($"id", $"employer")), 1), 0),
+        $"employer.id")
+      .analyze
+
+    comparePlans(optimized, expected)
+  }
 }
 
 object NestedColumnAliasingSuite {

From 789ac5b5c3f4ad1df06808c82545ff69b302490d Mon Sep 17 00:00:00 2001
From: Yi Wu <yi.wu@databricks.com>
Date: Thu, 27 Jun 2024 16:46:26 +0800
Subject: [PATCH 742/986] [SPARK-46957][CORE] Decommission migrated shuffle
 files should be able to cleanup from executor

### What changes were proposed in this pull request?

This PR uses `SortShuffleManager#taskIdMapsForShuffle` to track the migrated shuffle files on the destination executor.

### Why are the changes needed?

This is a long-standing bug in decommission where the migrated shuffle files can't be cleaned up from the executor. Normally, the shuffle files are tracked by `taskIdMapsForShuffle` during the map task execution. Upon receiving the `RemoveShuffle(shuffleId)` request from driver, executor can clean up those shuffle files by searching `taskIdMapsForShuffle`. However, for the migrated shuffle files by decommission, they lose the track in the destination executor's  `taskIdMapsForShuffle` and can't be deleted as a result.

Note this bug only affects shuffle removal on the executor. For shuffle removal on the external shuffle service (when `spark.shuffle.service.removeShuffle` enabled and the executor stores the shuffle files has gone), we don't rely on `taskIdMapsForShuffle` but using the specific shuffle block id to locate the shuffle file directly. So it won't be an issue there.

### Does this PR introduce _any_ user-facing change?

No. (Common users won't see the difference underlying.)

### How was this patch tested?

Add unit test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47037 from Ngone51/SPARK-46957.

Authored-by: Yi Wu <yi.wu@databricks.com>
Signed-off-by: Yi Wu <yi.wu@databricks.com>
(cherry picked from commit b5a55e46e9c126f73287ff3a8290828a9cd484a0)
Signed-off-by: Yi Wu <yi.wu@databricks.com>
---
 .../LocalDiskShuffleExecutorComponents.java   |  3 +-
 .../shuffle/IndexShuffleBlockResolver.scala   | 20 ++++-
 .../shuffle/sort/SortShuffleManager.scala     |  3 +-
 .../sort/UnsafeShuffleWriterSuite.java        |  6 +-
 ...kManagerDecommissionIntegrationSuite.scala | 76 +++++++++++++++++++
 5 files changed, 103 insertions(+), 5 deletions(-)

diff --git a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
index eb4d9d9abc8e3..861a8e623a6e5 100644
--- a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
+++ b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
@@ -56,7 +56,8 @@ public void initializeExecutor(String appId, String execId, Map<String, String>
     if (blockManager == null) {
       throw new IllegalStateException("No blockManager available from the SparkEnv.");
     }
-    blockResolver = new IndexShuffleBlockResolver(sparkConf, blockManager);
+    blockResolver =
+      new IndexShuffleBlockResolver(sparkConf, blockManager, Map.of() /* Shouldn't be accessed */);
   }
 
   @Override
diff --git a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
index 919b0f5f7c135..299f299249b9a 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
@@ -21,6 +21,7 @@ import java.io._
 import java.nio.ByteBuffer
 import java.nio.channels.Channels
 import java.nio.file.Files
+import java.util.{Map => JMap}
 
 import scala.collection.mutable.ArrayBuffer
 
@@ -37,6 +38,7 @@ import org.apache.spark.serializer.SerializerManager
 import org.apache.spark.shuffle.IndexShuffleBlockResolver.NOOP_REDUCE_ID
 import org.apache.spark.storage._
 import org.apache.spark.util.Utils
+import org.apache.spark.util.collection.OpenHashSet
 
 /**
  * Create and maintain the shuffle blocks' mapping between logic block and physical file location.
@@ -52,7 +54,8 @@ import org.apache.spark.util.Utils
 private[spark] class IndexShuffleBlockResolver(
     conf: SparkConf,
     // var for testing
-    var _blockManager: BlockManager = null)
+    var _blockManager: BlockManager = null,
+    val taskIdMapsForShuffle: JMap[Int, OpenHashSet[Long]] = JMap.of())
   extends ShuffleBlockResolver
   with Logging with MigratableResolver {
 
@@ -270,6 +273,21 @@ private[spark] class IndexShuffleBlockResolver(
             throw SparkCoreErrors.failedRenameTempFileError(fileTmp, file)
           }
         }
+        blockId match {
+          case ShuffleIndexBlockId(shuffleId, mapId, _) =>
+            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
+              shuffleId, _ => new OpenHashSet[Long](8)
+            )
+            mapTaskIds.add(mapId)
+
+          case ShuffleDataBlockId(shuffleId, mapId, _) =>
+            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
+              shuffleId, _ => new OpenHashSet[Long](8)
+            )
+            mapTaskIds.add(mapId)
+
+          case _ => // Unreachable
+        }
         blockManager.reportBlockStatus(blockId, BlockStatus(StorageLevel.DISK_ONLY, 0, diskSize))
       }
 
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
index 79dff6f87534a..4234d0ec5fd04 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
@@ -87,7 +87,8 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
 
   private lazy val shuffleExecutorComponents = loadShuffleExecutorComponents(conf)
 
-  override val shuffleBlockResolver = new IndexShuffleBlockResolver(conf)
+  override val shuffleBlockResolver =
+    new IndexShuffleBlockResolver(conf, taskIdMapsForShuffle = taskIdMapsForShuffle)
 
   /**
    * Obtains a [[ShuffleHandle]] to pass to tasks.
diff --git a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
index 1fa17b908699f..ed3a3b887c304 100644
--- a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
+++ b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
@@ -314,7 +314,8 @@ public void writeWithoutSpilling() throws Exception {
 
   @Test
   public void writeChecksumFileWithoutSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
+    IndexShuffleBlockResolver blockResolver =
+      new IndexShuffleBlockResolver(conf, blockManager, Map.of());
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
@@ -344,7 +345,8 @@ public void writeChecksumFileWithoutSpill() throws Exception {
 
   @Test
   public void writeChecksumFileWithSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
+    IndexShuffleBlockResolver blockResolver =
+      new IndexShuffleBlockResolver(conf, blockManager, Map.of());
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
index d9d2e6102f120..2ba348222f7be 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
@@ -17,12 +17,14 @@
 
 package org.apache.spark.storage
 
+import java.io.File
 import java.util.concurrent.{ConcurrentHashMap, ConcurrentLinkedQueue, Semaphore, TimeUnit}
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable.ArrayBuffer
 import scala.concurrent.duration._
 
+import org.apache.commons.io.FileUtils
 import org.scalatest.concurrent.Eventually
 
 import org.apache.spark._
@@ -352,4 +354,78 @@ class BlockManagerDecommissionIntegrationSuite extends SparkFunSuite with LocalS
     import scala.language.reflectiveCalls
     assert(listener.removeReasonValidated)
   }
+
+  test("SPARK-46957: Migrated shuffle files should be able to cleanup from executor") {
+
+    val sparkTempDir = System.getProperty("java.io.tmpdir")
+
+    def shuffleFiles: Seq[File] = {
+      FileUtils
+        .listFiles(new File(sparkTempDir), Array("data", "index"), true)
+        .asScala
+        .toSeq
+    }
+
+    val existingShuffleFiles = shuffleFiles
+
+    val conf = new SparkConf()
+      .setAppName("SPARK-46957")
+      .setMaster("local-cluster[2,1,1024]")
+      .set(config.DECOMMISSION_ENABLED, true)
+      .set(config.STORAGE_DECOMMISSION_ENABLED, true)
+      .set(config.STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED, true)
+    sc = new SparkContext(conf)
+    TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+    val shuffleBlockUpdates = new ArrayBuffer[BlockId]()
+    var isDecommissionedExecutorRemoved = false
+    val execToDecommission = sc.getExecutorIds().head
+    sc.addSparkListener(new SparkListener {
+      override def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit = {
+        if (blockUpdated.blockUpdatedInfo.blockId.isShuffle) {
+          shuffleBlockUpdates += blockUpdated.blockUpdatedInfo.blockId
+        }
+      }
+
+      override def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit = {
+        assert(execToDecommission === executorRemoved.executorId)
+        isDecommissionedExecutorRemoved = true
+      }
+    })
+
+    // Run a job to create shuffle data
+    val result = sc.parallelize(1 to 1000, 10)
+      .map { i => (i % 2, i) }
+      .reduceByKey(_ + _).collect()
+
+    assert(result.head === (0, 250500))
+    assert(result.tail.head === (1, 250000))
+    sc.schedulerBackend
+      .asInstanceOf[StandaloneSchedulerBackend]
+      .decommissionExecutor(
+        execToDecommission,
+        ExecutorDecommissionInfo("test", None),
+        adjustTargetNumExecutors = true
+      )
+
+    eventually(timeout(1.minute), interval(10.milliseconds)) {
+      assert(isDecommissionedExecutorRemoved)
+      // Ensure there are shuffle data have been migrated
+      assert(shuffleBlockUpdates.size >= 2)
+    }
+
+    val shuffleId = shuffleBlockUpdates
+      .find(_.isInstanceOf[ShuffleIndexBlockId])
+      .map(_.asInstanceOf[ShuffleIndexBlockId].shuffleId)
+      .get
+
+    val newShuffleFiles = shuffleFiles.diff(existingShuffleFiles)
+    assert(newShuffleFiles.size >= shuffleBlockUpdates.size)
+
+    // Remove the shuffle data
+    sc.shuffleDriverComponents.removeShuffle(shuffleId, true)
+
+    eventually(timeout(1.minute), interval(10.milliseconds)) {
+      assert(newShuffleFiles.intersect(shuffleFiles).isEmpty)
+    }
+  }
 }

From 7aa12b6cd01da88cbbb3e8c6e50863e6139315b7 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 27 Jun 2024 19:11:39 +0800
Subject: [PATCH 743/986] Revert "[SPARK-46957][CORE] Decommission migrated
 shuffle files should be able to cleanup from executor"

This reverts commit 789ac5b5c3f4ad1df06808c82545ff69b302490d.
---
 .../LocalDiskShuffleExecutorComponents.java   |  3 +-
 .../shuffle/IndexShuffleBlockResolver.scala   | 20 +----
 .../shuffle/sort/SortShuffleManager.scala     |  3 +-
 .../sort/UnsafeShuffleWriterSuite.java        |  6 +-
 ...kManagerDecommissionIntegrationSuite.scala | 76 -------------------
 5 files changed, 5 insertions(+), 103 deletions(-)

diff --git a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
index 861a8e623a6e5..eb4d9d9abc8e3 100644
--- a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
+++ b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
@@ -56,8 +56,7 @@ public void initializeExecutor(String appId, String execId, Map<String, String>
     if (blockManager == null) {
       throw new IllegalStateException("No blockManager available from the SparkEnv.");
     }
-    blockResolver =
-      new IndexShuffleBlockResolver(sparkConf, blockManager, Map.of() /* Shouldn't be accessed */);
+    blockResolver = new IndexShuffleBlockResolver(sparkConf, blockManager);
   }
 
   @Override
diff --git a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
index 299f299249b9a..919b0f5f7c135 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
@@ -21,7 +21,6 @@ import java.io._
 import java.nio.ByteBuffer
 import java.nio.channels.Channels
 import java.nio.file.Files
-import java.util.{Map => JMap}
 
 import scala.collection.mutable.ArrayBuffer
 
@@ -38,7 +37,6 @@ import org.apache.spark.serializer.SerializerManager
 import org.apache.spark.shuffle.IndexShuffleBlockResolver.NOOP_REDUCE_ID
 import org.apache.spark.storage._
 import org.apache.spark.util.Utils
-import org.apache.spark.util.collection.OpenHashSet
 
 /**
  * Create and maintain the shuffle blocks' mapping between logic block and physical file location.
@@ -54,8 +52,7 @@ import org.apache.spark.util.collection.OpenHashSet
 private[spark] class IndexShuffleBlockResolver(
     conf: SparkConf,
     // var for testing
-    var _blockManager: BlockManager = null,
-    val taskIdMapsForShuffle: JMap[Int, OpenHashSet[Long]] = JMap.of())
+    var _blockManager: BlockManager = null)
   extends ShuffleBlockResolver
   with Logging with MigratableResolver {
 
@@ -273,21 +270,6 @@ private[spark] class IndexShuffleBlockResolver(
             throw SparkCoreErrors.failedRenameTempFileError(fileTmp, file)
           }
         }
-        blockId match {
-          case ShuffleIndexBlockId(shuffleId, mapId, _) =>
-            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
-              shuffleId, _ => new OpenHashSet[Long](8)
-            )
-            mapTaskIds.add(mapId)
-
-          case ShuffleDataBlockId(shuffleId, mapId, _) =>
-            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
-              shuffleId, _ => new OpenHashSet[Long](8)
-            )
-            mapTaskIds.add(mapId)
-
-          case _ => // Unreachable
-        }
         blockManager.reportBlockStatus(blockId, BlockStatus(StorageLevel.DISK_ONLY, 0, diskSize))
       }
 
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
index 4234d0ec5fd04..79dff6f87534a 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
@@ -87,8 +87,7 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
 
   private lazy val shuffleExecutorComponents = loadShuffleExecutorComponents(conf)
 
-  override val shuffleBlockResolver =
-    new IndexShuffleBlockResolver(conf, taskIdMapsForShuffle = taskIdMapsForShuffle)
+  override val shuffleBlockResolver = new IndexShuffleBlockResolver(conf)
 
   /**
    * Obtains a [[ShuffleHandle]] to pass to tasks.
diff --git a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
index ed3a3b887c304..1fa17b908699f 100644
--- a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
+++ b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
@@ -314,8 +314,7 @@ public void writeWithoutSpilling() throws Exception {
 
   @Test
   public void writeChecksumFileWithoutSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver =
-      new IndexShuffleBlockResolver(conf, blockManager, Map.of());
+    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
@@ -345,8 +344,7 @@ public void writeChecksumFileWithoutSpill() throws Exception {
 
   @Test
   public void writeChecksumFileWithSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver =
-      new IndexShuffleBlockResolver(conf, blockManager, Map.of());
+    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
index 2ba348222f7be..d9d2e6102f120 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
@@ -17,14 +17,12 @@
 
 package org.apache.spark.storage
 
-import java.io.File
 import java.util.concurrent.{ConcurrentHashMap, ConcurrentLinkedQueue, Semaphore, TimeUnit}
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable.ArrayBuffer
 import scala.concurrent.duration._
 
-import org.apache.commons.io.FileUtils
 import org.scalatest.concurrent.Eventually
 
 import org.apache.spark._
@@ -354,78 +352,4 @@ class BlockManagerDecommissionIntegrationSuite extends SparkFunSuite with LocalS
     import scala.language.reflectiveCalls
     assert(listener.removeReasonValidated)
   }
-
-  test("SPARK-46957: Migrated shuffle files should be able to cleanup from executor") {
-
-    val sparkTempDir = System.getProperty("java.io.tmpdir")
-
-    def shuffleFiles: Seq[File] = {
-      FileUtils
-        .listFiles(new File(sparkTempDir), Array("data", "index"), true)
-        .asScala
-        .toSeq
-    }
-
-    val existingShuffleFiles = shuffleFiles
-
-    val conf = new SparkConf()
-      .setAppName("SPARK-46957")
-      .setMaster("local-cluster[2,1,1024]")
-      .set(config.DECOMMISSION_ENABLED, true)
-      .set(config.STORAGE_DECOMMISSION_ENABLED, true)
-      .set(config.STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED, true)
-    sc = new SparkContext(conf)
-    TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
-    val shuffleBlockUpdates = new ArrayBuffer[BlockId]()
-    var isDecommissionedExecutorRemoved = false
-    val execToDecommission = sc.getExecutorIds().head
-    sc.addSparkListener(new SparkListener {
-      override def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit = {
-        if (blockUpdated.blockUpdatedInfo.blockId.isShuffle) {
-          shuffleBlockUpdates += blockUpdated.blockUpdatedInfo.blockId
-        }
-      }
-
-      override def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit = {
-        assert(execToDecommission === executorRemoved.executorId)
-        isDecommissionedExecutorRemoved = true
-      }
-    })
-
-    // Run a job to create shuffle data
-    val result = sc.parallelize(1 to 1000, 10)
-      .map { i => (i % 2, i) }
-      .reduceByKey(_ + _).collect()
-
-    assert(result.head === (0, 250500))
-    assert(result.tail.head === (1, 250000))
-    sc.schedulerBackend
-      .asInstanceOf[StandaloneSchedulerBackend]
-      .decommissionExecutor(
-        execToDecommission,
-        ExecutorDecommissionInfo("test", None),
-        adjustTargetNumExecutors = true
-      )
-
-    eventually(timeout(1.minute), interval(10.milliseconds)) {
-      assert(isDecommissionedExecutorRemoved)
-      // Ensure there are shuffle data have been migrated
-      assert(shuffleBlockUpdates.size >= 2)
-    }
-
-    val shuffleId = shuffleBlockUpdates
-      .find(_.isInstanceOf[ShuffleIndexBlockId])
-      .map(_.asInstanceOf[ShuffleIndexBlockId].shuffleId)
-      .get
-
-    val newShuffleFiles = shuffleFiles.diff(existingShuffleFiles)
-    assert(newShuffleFiles.size >= shuffleBlockUpdates.size)
-
-    // Remove the shuffle data
-    sc.shuffleDriverComponents.removeShuffle(shuffleId, true)
-
-    eventually(timeout(1.minute), interval(10.milliseconds)) {
-      assert(newShuffleFiles.intersect(shuffleFiles).isEmpty)
-    }
-  }
 }

From b28ddb176fd87aa0bab4afe5e0db4fc4c3ec9c59 Mon Sep 17 00:00:00 2001
From: Yi Wu <yi.wu@databricks.com>
Date: Thu, 27 Jun 2024 23:54:35 +0800
Subject: [PATCH 744/986] [SPARK-46957][CORE][3.5][3.4] Decommission migrated
 shuffle files should be able to cleanup from executor

### What changes were proposed in this pull request?

This PR uses `SortShuffleManager#taskIdMapsForShuffle` to track the migrated shuffle files on the destination executor.

### Why are the changes needed?

This is a long-standing bug in decommission where the migrated shuffle files can't be cleaned up from the executor. Normally, the shuffle files are tracked by `taskIdMapsForShuffle` during the map task execution. Upon receiving the `RemoveShuffle(shuffleId)` request from driver, executor can clean up those shuffle files by searching `taskIdMapsForShuffle`. However, for the migrated shuffle files by decommission, they lose the track in the destination executor's  `taskIdMapsForShuffle` and can't be deleted as a result.

Note this bug only affects shuffle removal on the executor. For shuffle removal on the external shuffle service (when `spark.shuffle.service.removeShuffle` enabled and the executor stores the shuffle files has gone), we don't rely on `taskIdMapsForShuffle` but using the specific shuffle block id to locate the shuffle file directly. So it won't be an issue there.

### Does this PR introduce _any_ user-facing change?

No. (Common users won't see the difference underlying.)

### How was this patch tested?

Add unit test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47122 from Ngone51/SPARK-46957-3.5.

Authored-by: Yi Wu <yi.wu@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../LocalDiskShuffleExecutorComponents.java   |  6 +-
 .../shuffle/IndexShuffleBlockResolver.scala   | 20 ++++-
 .../shuffle/sort/SortShuffleManager.scala     |  3 +-
 .../sort/UnsafeShuffleWriterSuite.java        |  6 +-
 ...kManagerDecommissionIntegrationSuite.scala | 76 +++++++++++++++++++
 5 files changed, 106 insertions(+), 5 deletions(-)

diff --git a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
index eb4d9d9abc8e3..38f0a60f8b0dd 100644
--- a/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
+++ b/core/src/main/java/org/apache/spark/shuffle/sort/io/LocalDiskShuffleExecutorComponents.java
@@ -17,6 +17,7 @@
 
 package org.apache.spark.shuffle.sort.io;
 
+import java.util.Collections;
 import java.util.Map;
 import java.util.Optional;
 
@@ -56,7 +57,10 @@ public void initializeExecutor(String appId, String execId, Map<String, String>
     if (blockManager == null) {
       throw new IllegalStateException("No blockManager available from the SparkEnv.");
     }
-    blockResolver = new IndexShuffleBlockResolver(sparkConf, blockManager);
+    blockResolver =
+      new IndexShuffleBlockResolver(
+        sparkConf, blockManager, Collections.emptyMap() /* Shouldn't be accessed */
+      );
   }
 
   @Override
diff --git a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
index 919b0f5f7c135..34eea575bbfd2 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
@@ -21,6 +21,7 @@ import java.io._
 import java.nio.ByteBuffer
 import java.nio.channels.Channels
 import java.nio.file.Files
+import java.util.{Collections, Map => JMap}
 
 import scala.collection.mutable.ArrayBuffer
 
@@ -37,6 +38,7 @@ import org.apache.spark.serializer.SerializerManager
 import org.apache.spark.shuffle.IndexShuffleBlockResolver.NOOP_REDUCE_ID
 import org.apache.spark.storage._
 import org.apache.spark.util.Utils
+import org.apache.spark.util.collection.OpenHashSet
 
 /**
  * Create and maintain the shuffle blocks' mapping between logic block and physical file location.
@@ -52,7 +54,8 @@ import org.apache.spark.util.Utils
 private[spark] class IndexShuffleBlockResolver(
     conf: SparkConf,
     // var for testing
-    var _blockManager: BlockManager = null)
+    var _blockManager: BlockManager = null,
+    val taskIdMapsForShuffle: JMap[Int, OpenHashSet[Long]] = Collections.emptyMap())
   extends ShuffleBlockResolver
   with Logging with MigratableResolver {
 
@@ -270,6 +273,21 @@ private[spark] class IndexShuffleBlockResolver(
             throw SparkCoreErrors.failedRenameTempFileError(fileTmp, file)
           }
         }
+        blockId match {
+          case ShuffleIndexBlockId(shuffleId, mapId, _) =>
+            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
+              shuffleId, _ => new OpenHashSet[Long](8)
+            )
+            mapTaskIds.add(mapId)
+
+          case ShuffleDataBlockId(shuffleId, mapId, _) =>
+            val mapTaskIds = taskIdMapsForShuffle.computeIfAbsent(
+              shuffleId, _ => new OpenHashSet[Long](8)
+            )
+            mapTaskIds.add(mapId)
+
+          case _ => // Unreachable
+        }
         blockManager.reportBlockStatus(blockId, BlockStatus(StorageLevel.DISK_ONLY, 0, diskSize))
       }
 
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
index 79dff6f87534a..4234d0ec5fd04 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
@@ -87,7 +87,8 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
 
   private lazy val shuffleExecutorComponents = loadShuffleExecutorComponents(conf)
 
-  override val shuffleBlockResolver = new IndexShuffleBlockResolver(conf)
+  override val shuffleBlockResolver =
+    new IndexShuffleBlockResolver(conf, taskIdMapsForShuffle = taskIdMapsForShuffle)
 
   /**
    * Obtains a [[ShuffleHandle]] to pass to tasks.
diff --git a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
index 1fa17b908699f..472d03baeae05 100644
--- a/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
+++ b/core/src/test/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriterSuite.java
@@ -314,7 +314,8 @@ public void writeWithoutSpilling() throws Exception {
 
   @Test
   public void writeChecksumFileWithoutSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
+    IndexShuffleBlockResolver blockResolver =
+      new IndexShuffleBlockResolver(conf, blockManager, Collections.emptyMap());
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
@@ -344,7 +345,8 @@ public void writeChecksumFileWithoutSpill() throws Exception {
 
   @Test
   public void writeChecksumFileWithSpill() throws Exception {
-    IndexShuffleBlockResolver blockResolver = new IndexShuffleBlockResolver(conf, blockManager);
+    IndexShuffleBlockResolver blockResolver =
+      new IndexShuffleBlockResolver(conf, blockManager, Collections.emptyMap());
     ShuffleChecksumBlockId checksumBlockId =
       new ShuffleChecksumBlockId(0, 0, IndexShuffleBlockResolver.NOOP_REDUCE_ID());
     String checksumAlgorithm = conf.get(package$.MODULE$.SHUFFLE_CHECKSUM_ALGORITHM());
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
index d9d2e6102f120..2ba348222f7be 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerDecommissionIntegrationSuite.scala
@@ -17,12 +17,14 @@
 
 package org.apache.spark.storage
 
+import java.io.File
 import java.util.concurrent.{ConcurrentHashMap, ConcurrentLinkedQueue, Semaphore, TimeUnit}
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable.ArrayBuffer
 import scala.concurrent.duration._
 
+import org.apache.commons.io.FileUtils
 import org.scalatest.concurrent.Eventually
 
 import org.apache.spark._
@@ -352,4 +354,78 @@ class BlockManagerDecommissionIntegrationSuite extends SparkFunSuite with LocalS
     import scala.language.reflectiveCalls
     assert(listener.removeReasonValidated)
   }
+
+  test("SPARK-46957: Migrated shuffle files should be able to cleanup from executor") {
+
+    val sparkTempDir = System.getProperty("java.io.tmpdir")
+
+    def shuffleFiles: Seq[File] = {
+      FileUtils
+        .listFiles(new File(sparkTempDir), Array("data", "index"), true)
+        .asScala
+        .toSeq
+    }
+
+    val existingShuffleFiles = shuffleFiles
+
+    val conf = new SparkConf()
+      .setAppName("SPARK-46957")
+      .setMaster("local-cluster[2,1,1024]")
+      .set(config.DECOMMISSION_ENABLED, true)
+      .set(config.STORAGE_DECOMMISSION_ENABLED, true)
+      .set(config.STORAGE_DECOMMISSION_SHUFFLE_BLOCKS_ENABLED, true)
+    sc = new SparkContext(conf)
+    TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+    val shuffleBlockUpdates = new ArrayBuffer[BlockId]()
+    var isDecommissionedExecutorRemoved = false
+    val execToDecommission = sc.getExecutorIds().head
+    sc.addSparkListener(new SparkListener {
+      override def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit = {
+        if (blockUpdated.blockUpdatedInfo.blockId.isShuffle) {
+          shuffleBlockUpdates += blockUpdated.blockUpdatedInfo.blockId
+        }
+      }
+
+      override def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit = {
+        assert(execToDecommission === executorRemoved.executorId)
+        isDecommissionedExecutorRemoved = true
+      }
+    })
+
+    // Run a job to create shuffle data
+    val result = sc.parallelize(1 to 1000, 10)
+      .map { i => (i % 2, i) }
+      .reduceByKey(_ + _).collect()
+
+    assert(result.head === (0, 250500))
+    assert(result.tail.head === (1, 250000))
+    sc.schedulerBackend
+      .asInstanceOf[StandaloneSchedulerBackend]
+      .decommissionExecutor(
+        execToDecommission,
+        ExecutorDecommissionInfo("test", None),
+        adjustTargetNumExecutors = true
+      )
+
+    eventually(timeout(1.minute), interval(10.milliseconds)) {
+      assert(isDecommissionedExecutorRemoved)
+      // Ensure there are shuffle data have been migrated
+      assert(shuffleBlockUpdates.size >= 2)
+    }
+
+    val shuffleId = shuffleBlockUpdates
+      .find(_.isInstanceOf[ShuffleIndexBlockId])
+      .map(_.asInstanceOf[ShuffleIndexBlockId].shuffleId)
+      .get
+
+    val newShuffleFiles = shuffleFiles.diff(existingShuffleFiles)
+    assert(newShuffleFiles.size >= shuffleBlockUpdates.size)
+
+    // Remove the shuffle data
+    sc.shuffleDriverComponents.removeShuffle(shuffleId, true)
+
+    eventually(timeout(1.minute), interval(10.milliseconds)) {
+      assert(newShuffleFiles.intersect(shuffleFiles).isEmpty)
+    }
+  }
 }

From 3d7a20a08ec104e98f15fa0926547086904a0fe8 Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Fri, 28 Jun 2024 00:12:13 +0800
Subject: [PATCH 745/986] [SPARK-48709][SQL][3.5] Fix varchar type resolution
 mismatch for DataSourceV2 CTAS

Backport of #47082.

### What changes were proposed in this pull request?

This PR fixes varchar type resolution mismatch for DataSourceV2 CTAS. For example:
```sql
set spark.sql.storeAssignmentPolicy=LEGACY;
CREATE TABLE testcat.ns.t1 (d1 string, d2 varchar(200)) USING parquet;
CREATE TABLE testcat.ns.t2 USING foo as select * from testcat.ns.t1
```
Error message:
```
org.apache.spark.sql.AnalysisException: LEGACY store assignment policy is disallowed in Spark data source V2. Please set the configuration spark.sql.storeAssignmentPolicy to other values.
```

### Why are the changes needed?

Avoid query failures.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47103 from wangyum/SPARK-48709-branch-3.5.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/catalyst/plans/logical/v2Commands.scala  |  3 ++-
 .../spark/sql/connector/DataSourceV2SQLSuite.scala     | 10 ++++++++++
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
index 739ffa487e393..805f277cf9f6a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
@@ -62,10 +62,11 @@ trait V2WriteCommand extends UnaryCommand with KeepAnalyzedQuery {
     table.skipSchemaResolution || (query.output.size == table.output.size &&
       query.output.zip(table.output).forall {
         case (inAttr, outAttr) =>
+          val inType = CharVarcharUtils.getRawType(inAttr.metadata).getOrElse(inAttr.dataType)
           val outType = CharVarcharUtils.getRawType(outAttr.metadata).getOrElse(outAttr.dataType)
           // names and types must match, nullability must be compatible
           inAttr.name == outAttr.name &&
-            DataType.equalsIgnoreCompatibleNullability(inAttr.dataType, outType) &&
+            DataType.equalsIgnoreCompatibleNullability(inType, outType) &&
             (outAttr.nullable || !inAttr.nullable)
       })
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 6df71d08ef726..1db63f3197288 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -1736,6 +1736,16 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-48709: varchar resolution mismatch for DataSourceV2 CTAS") {
+    withSQLConf(
+      SQLConf.STORE_ASSIGNMENT_POLICY.key -> SQLConf.StoreAssignmentPolicy.LEGACY.toString) {
+      withTable("testcat.ns.t1", "testcat.ns.t2") {
+        sql("CREATE TABLE testcat.ns.t1 (d1 string, d2 varchar(200)) USING parquet")
+        sql("CREATE TABLE testcat.ns.t2 USING foo as select * from testcat.ns.t1")
+      }
+    }
+  }
+
   test("ShowCurrentNamespace: basic tests") {
     def testShowCurrentNamespace(expectedCatalogName: String, expectedNamespace: String): Unit = {
       val schema = new StructType()

From ade9dbfc504c52dc7a05989bdede599aaca2462d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Bj=C3=B8rn=20J=C3=B8rgensen?= <bjornjorgensen@gmail.com>
Date: Fri, 28 Jun 2024 11:10:22 +0800
Subject: [PATCH 746/986] [SPARK-48494][BUILD][3.5] Update
 `airlift:aircompressor` to 0.27
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
upgrade airlift:aircompressor from 0.26 to 0.27
For branch 3.5

### Why are the changes needed?
[CVE-2024-36114](https://www.cve.org/CVERecord?id=CVE-2024-36114)

[Decompressors can crash the JVM and leak memory content](https://github.com/airlift/aircompressor/security/advisories/GHSA-973x-65j7-xcf4)

The fix https://github.com/airlift/aircompressor/commit/d01ecb779375a092d00e224abe7869cdf49ddc3e

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
pass GA

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47128 from bjornjorgensen/branch3.5aircompressor0.27.

Authored-by: Bjørn Jørgensen <bjornjorgensen@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 378cdb121150f..6f8054ae900b3 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -4,7 +4,7 @@ JTransforms/3.1//JTransforms-3.1.jar
 RoaringBitmap/0.9.45//RoaringBitmap-0.9.45.jar
 ST4/4.0.4//ST4-4.0.4.jar
 activation/1.1.1//activation-1.1.1.jar
-aircompressor/0.26//aircompressor-0.26.jar
+aircompressor/0.27//aircompressor-0.27.jar
 algebra_2.12/2.0.1//algebra_2.12-2.0.1.jar
 aliyun-java-sdk-core/4.5.10//aliyun-java-sdk-core-4.5.10.jar
 aliyun-java-sdk-kms/2.11.0//aliyun-java-sdk-kms-2.11.0.jar
diff --git a/pom.xml b/pom.xml
index 6bb764e0c28c2..f1a7a1618073a 100644
--- a/pom.xml
+++ b/pom.xml
@@ -2586,7 +2586,7 @@
       <dependency>
         <groupId>io.airlift</groupId>
         <artifactId>aircompressor</artifactId>
-        <version>0.26</version>
+        <version>0.27</version>
       </dependency>
       <dependency>
         <groupId>org.apache.orc</groupId>

From 686f59c802105ea7bc1f9af50f9a1bdbd84e336d Mon Sep 17 00:00:00 2001
From: Riya Verma <riya.verma@databricks.com>
Date: Fri, 28 Jun 2024 16:59:21 +0900
Subject: [PATCH 747/986] [SPARK-48586][SS][3.5] Remove lock acquisition in
 doMaintenance() by making a deep copy of file mappings in RocksDBFileManager
 in load()

Backports #46942 to 3.5

### What changes were proposed in this pull request?
When change log checkpointing is enabled, the lock of the **RocksDB** state store is acquired when uploading the snapshot inside maintenance tasks, which causes lock contention between query processing tasks and state maintenance thread. This PR fixes lock contention issue introduced by https://github.com/apache/spark/pull/45724.

The changes include:
1. Removing lock acquisition in `doMaintenance()`
2. Adding a `copyFileMappings()` method to **RocksDBFileManager**,  and using this method to deep copy the file manager state, specifically the file mappings `versionToRocksDBFiles` and `localFilesToDfsFiles`,  in `load()`
3. Capture the reference to the file mappings  in `commit()`.

### Why are the changes needed?
We want to eliminate lock contention to decrease latency of streaming queries so lock acquisition inside maintenance tasks should be avoided. This can introduce race conditions between task and maintenance threads. By making a deep copy of `versionToRocksDBFiles` and `localFilesToDfsFiles` in **RocksDBFileManager**, we can ensure that the file manager state is not updated by task thread when background snapshot uploading tasks attempt to upload a snapshot.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

Added unit test cases.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47130 from riyaverm-db/remove-lock-contention-between-maintenance-and-task-3.5.

Lead-authored-by: Riya Verma <riya.verma@databricks.com>
Co-authored-by: Riya Verma <170376104+riyaverm-db@users.noreply.github.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../execution/streaming/state/RocksDB.scala   | 58 +++++++-----
 .../streaming/state/RocksDBFileManager.scala  | 88 ++++++++++++------
 .../streaming/state/RocksDBSuite.scala        | 90 ++++++++++++++++++-
 3 files changed, 183 insertions(+), 53 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
index 301d978c90386..6c0447e1a325a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDB.scala
@@ -23,6 +23,7 @@ import java.util.concurrent.TimeUnit
 import javax.annotation.concurrent.GuardedBy
 
 import scala.collection.{mutable, Map}
+import scala.collection.mutable.ListBuffer
 import scala.ref.WeakReference
 import scala.util.Try
 
@@ -57,7 +58,11 @@ class RocksDB(
     hadoopConf: Configuration = new Configuration,
     loggingId: String = "") extends Logging {
 
-  case class RocksDBSnapshot(checkpointDir: File, version: Long, numKeys: Long) {
+  case class RocksDBSnapshot(
+      checkpointDir: File,
+      version: Long,
+      numKeys: Long,
+      capturedFileMappings: RocksDBFileMappings) {
     def close(): Unit = {
       silentDeleteRecursively(checkpointDir, s"Free up local checkpoint of snapshot $version")
     }
@@ -65,6 +70,7 @@ class RocksDB(
 
   @volatile private var latestSnapshot: Option[RocksDBSnapshot] = None
   @volatile private var lastSnapshotVersion = 0L
+  private val oldSnapshots = new ListBuffer[RocksDBSnapshot]
 
   RocksDBLoader.loadLibrary()
 
@@ -148,6 +154,9 @@ class RocksDB(
     try {
       if (loadedVersion != version) {
         closeDB()
+        // deep copy is needed to avoid race condition
+        // between maintenance and task threads
+        fileManager.copyFileMapping()
         val latestSnapshotVersion = fileManager.getLatestSnapshotVersion(version)
         val metadata = fileManager.loadCheckpointFromDfs(latestSnapshotVersion, workingDir)
         loadedVersion = latestSnapshotVersion
@@ -156,7 +165,6 @@ class RocksDB(
         if (lastSnapshotVersion > latestSnapshotVersion) {
           // discard any newer snapshots
           lastSnapshotVersion = 0L
-          latestSnapshot = None
         }
         openDB()
 
@@ -368,10 +376,17 @@ class RocksDB(
           // inside the uploadSnapshot() called below.
           // If changelog checkpointing is enabled, snapshot will be uploaded asynchronously
           // during state store maintenance.
-          latestSnapshot.foreach(_.close())
-          latestSnapshot = Some(
-            RocksDBSnapshot(checkpointDir, newVersion, numKeysOnWritingVersion))
-          lastSnapshotVersion = newVersion
+          synchronized {
+            if (latestSnapshot.isDefined) {
+              oldSnapshots += latestSnapshot.get
+            }
+            latestSnapshot = Some(
+              RocksDBSnapshot(checkpointDir,
+                newVersion,
+                numKeysOnWritingVersion,
+                fileManager.captureFileMapReference()))
+            lastSnapshotVersion = newVersion
+          }
         }
       }
 
@@ -421,22 +436,34 @@ class RocksDB(
   }
 
   private def uploadSnapshot(): Unit = {
+    var oldSnapshotsImmutable: List[RocksDBSnapshot] = Nil
     val localCheckpoint = synchronized {
       val checkpoint = latestSnapshot
       latestSnapshot = None
+
+      // Convert mutable list buffer to immutable to prevent
+      // race condition with commit where old snapshot is added
+      oldSnapshotsImmutable = oldSnapshots.toList
+      oldSnapshots.clear()
+
       checkpoint
     }
     localCheckpoint match {
-      case Some(RocksDBSnapshot(localDir, version, numKeys)) =>
+      case Some(RocksDBSnapshot(localDir, version, numKeys, capturedFileMappings)) =>
         try {
           val uploadTime = timeTakenMs {
-            fileManager.saveCheckpointToDfs(localDir, version, numKeys)
+            fileManager.saveCheckpointToDfs(localDir, version, numKeys, capturedFileMappings)
             fileManagerMetrics = fileManager.latestSaveCheckpointMetrics
           }
           logInfo(s"$loggingId: Upload snapshot of version $version," +
             s" time taken: $uploadTime ms")
         } finally {
           localCheckpoint.foreach(_.close())
+
+          // Clean up old latestSnapshots
+          for (snapshot <- oldSnapshotsImmutable) {
+            snapshot.close()
+          }
         }
       case _ =>
     }
@@ -457,20 +484,7 @@ class RocksDB(
 
   def doMaintenance(): Unit = {
     if (enableChangelogCheckpointing) {
-      // There is race to update latestSnapshot between load(), commit()
-      // and uploadSnapshot().
-      // The load method will reset latestSnapshot to discard any snapshots taken
-      // from newer versions (when a old version is reloaded).
-      // commit() method deletes the existing snapshot while creating a new snapshot.
-      // In order to ensure that the snapshot being uploaded would not be modified
-      // concurrently, we need to synchronize the snapshot access between task thread
-      // and maintenance thread.
-      acquire()
-      try {
-        uploadSnapshot()
-      } finally {
-        release()
-      }
+      uploadSnapshot()
     }
     val cleanupTime = timeTakenMs {
       fileManager.deleteOldVersions(conf.minVersionsToRetain)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
index c527a6a03ae97..b4fe3e22e8882 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBFileManager.scala
@@ -131,16 +131,6 @@ class RocksDBFileManager(
 
   import RocksDBImmutableFile._
 
-  private val versionToRocksDBFiles = new ConcurrentHashMap[Long, Seq[RocksDBImmutableFile]]
-
-
-  // used to keep a mapping of the exact Dfs file that was used to create a local SST file.
-  // The reason this is a separate map because versionToRocksDBFiles can contain multiple similar
-  // SST files to a particular local file (for example 1.sst can map to 1-UUID1.sst in v1 and
-  // 1-UUID2.sst in v2). We need to capture the exact file used to ensure Version ID compatibility
-  // across SST files and RocksDB manifest.
-  private[sql] val localFilesToDfsFiles = new ConcurrentHashMap[String, RocksDBImmutableFile]
-
   private lazy val fm = CheckpointFileManager.create(new Path(dfsRootDir), hadoopConf)
   private val fs = new Path(dfsRootDir).getFileSystem(hadoopConf)
   private val onlyZipFiles = new PathFilter {
@@ -154,6 +144,30 @@ class RocksDBFileManager(
 
   private def codec = CompressionCodec.createCodec(sparkConf, codecName)
 
+  @volatile private var fileMappings = RocksDBFileMappings(
+    new ConcurrentHashMap[Long, Seq[RocksDBImmutableFile]],
+    new ConcurrentHashMap[String, RocksDBImmutableFile]
+  )
+
+  /**
+   * Make a deep copy of versionToRocksDBFiles and localFilesToDfsFiles to avoid
+   * current task thread from overwriting the file mapping whenever background maintenance
+   * thread attempts to upload a snapshot
+   */
+  def copyFileMapping() : Unit = {
+    val newVersionToRocksDBFiles = new ConcurrentHashMap[Long, Seq[RocksDBImmutableFile]]
+    val newLocalFilesToDfsFiles = new ConcurrentHashMap[String, RocksDBImmutableFile]
+
+    newVersionToRocksDBFiles.putAll(fileMappings.versionToRocksDBFiles)
+    newLocalFilesToDfsFiles.putAll(fileMappings.localFilesToDfsFiles)
+
+    fileMappings = RocksDBFileMappings(newVersionToRocksDBFiles, newLocalFilesToDfsFiles)
+  }
+
+  def captureFileMapReference(): RocksDBFileMappings = {
+    fileMappings
+  }
+
   def getChangeLogWriter(version: Long): StateStoreChangelogWriter = {
     val rootDir = new Path(dfsRootDir)
     val changelogFile = dfsChangelogFile(version)
@@ -185,10 +199,14 @@ class RocksDBFileManager(
   def latestSaveCheckpointMetrics: RocksDBFileManagerMetrics = saveCheckpointMetrics
 
   /** Save all the files in given local checkpoint directory as a committed version in DFS */
-  def saveCheckpointToDfs(checkpointDir: File, version: Long, numKeys: Long): Unit = {
+  def saveCheckpointToDfs(
+      checkpointDir: File,
+      version: Long,
+      numKeys: Long,
+      capturedFileMappings: RocksDBFileMappings): Unit = {
     logFilesInDir(checkpointDir, s"Saving checkpoint files for version $version")
     val (localImmutableFiles, localOtherFiles) = listRocksDBFiles(checkpointDir)
-    val rocksDBFiles = saveImmutableFilesToDfs(version, localImmutableFiles)
+    val rocksDBFiles = saveImmutableFilesToDfs(version, localImmutableFiles, capturedFileMappings)
     val metadata = RocksDBCheckpointMetadata(rocksDBFiles, numKeys)
     val metadataFile = localMetadataFile(checkpointDir)
     metadata.writeToFile(metadataFile)
@@ -219,10 +237,10 @@ class RocksDBFileManager(
     // The unique ids of SST files are checked when opening a rocksdb instance. The SST files
     // in larger versions can't be reused even if they have the same size and name because
     // they belong to another rocksdb instance.
-    versionToRocksDBFiles.keySet().removeIf(_ >= version)
+    fileMappings.versionToRocksDBFiles.keySet().removeIf(_ >= version)
     val metadata = if (version == 0) {
       if (localDir.exists) Utils.deleteRecursively(localDir)
-      localFilesToDfsFiles.clear()
+      fileMappings.localFilesToDfsFiles.clear()
       localDir.mkdirs()
       RocksDBCheckpointMetadata(Seq.empty, 0)
     } else {
@@ -235,7 +253,7 @@ class RocksDBFileManager(
       val metadata = RocksDBCheckpointMetadata.readFromFile(metadataFile)
       logInfo(s"Read metadata for version $version:\n${metadata.prettyJson}")
       loadImmutableFilesFromDfs(metadata.immutableFiles, localDir)
-      versionToRocksDBFiles.put(version, metadata.immutableFiles)
+      fileMappings.versionToRocksDBFiles.put(version, metadata.immutableFiles)
       metadataFile.delete()
       metadata
     }
@@ -389,9 +407,9 @@ class RocksDBFileManager(
     // Resolve RocksDB files for all the versions and find the max version each file is used
     val fileToMaxUsedVersion = new mutable.HashMap[String, Long]
     sortedSnapshotVersions.foreach { version =>
-      val files = Option(versionToRocksDBFiles.get(version)).getOrElse {
+      val files = Option(fileMappings.versionToRocksDBFiles.get(version)).getOrElse {
         val newResolvedFiles = getImmutableFilesFromVersionZip(version)
-        versionToRocksDBFiles.put(version, newResolvedFiles)
+        fileMappings.versionToRocksDBFiles.put(version, newResolvedFiles)
         newResolvedFiles
       }
       files.foreach(f => fileToMaxUsedVersion(f.dfsFileName) =
@@ -436,7 +454,7 @@ class RocksDBFileManager(
       val versionFile = dfsBatchZipFile(version)
       try {
         fm.delete(versionFile)
-        versionToRocksDBFiles.remove(version)
+        fileMappings.versionToRocksDBFiles.remove(version)
         logDebug(s"Deleted version $version")
       } catch {
         case e: Exception =>
@@ -455,7 +473,8 @@ class RocksDBFileManager(
   /** Save immutable files to DFS directory */
   private def saveImmutableFilesToDfs(
       version: Long,
-      localFiles: Seq[File]): Seq[RocksDBImmutableFile] = {
+      localFiles: Seq[File],
+      capturedFileMappings: RocksDBFileMappings): Seq[RocksDBImmutableFile] = {
     // Get the immutable files used in previous versions, as some of those uploaded files can be
     // reused for this version
     logInfo(s"Saving RocksDB files to DFS for $version")
@@ -465,7 +484,8 @@ class RocksDBFileManager(
     var filesReused = 0L
 
     val immutableFiles = localFiles.map { localFile =>
-      val existingDfsFile = localFilesToDfsFiles.asScala.get(localFile.getName)
+      val existingDfsFile =
+        capturedFileMappings.localFilesToDfsFiles.asScala.get(localFile.getName)
       if (existingDfsFile.isDefined && existingDfsFile.get.sizeBytes == localFile.length()) {
         val dfsFile = existingDfsFile.get
         filesReused += 1
@@ -487,14 +507,14 @@ class RocksDBFileManager(
         bytesCopied += localFileSize
 
         val immutableDfsFile = RocksDBImmutableFile(localFile.getName, dfsFileName, localFileSize)
-        localFilesToDfsFiles.put(localFileName, immutableDfsFile)
+        capturedFileMappings.localFilesToDfsFiles.put(localFileName, immutableDfsFile)
 
         immutableDfsFile
       }
     }
     logInfo(s"Copied $filesCopied files ($bytesCopied bytes) from local to" +
       s" DFS for version $version. $filesReused files reused without copying.")
-    versionToRocksDBFiles.put(version, immutableFiles)
+    capturedFileMappings.versionToRocksDBFiles.put(version, immutableFiles)
 
     // Cleanup locally deleted files from the localFilesToDfsFiles map
     // Locally, SST Files can be deleted due to RocksDB compaction. These files need
@@ -534,7 +554,7 @@ class RocksDBFileManager(
       .foreach { existingFile =>
         val existingFileSize = existingFile.length()
         val requiredFile = requiredFileNameToFileDetails.get(existingFile.getName)
-        val prevDfsFile = localFilesToDfsFiles.asScala.get(existingFile.getName)
+        val prevDfsFile = fileMappings.localFilesToDfsFiles.asScala.get(existingFile.getName)
         val isSameFile = if (requiredFile.isDefined && prevDfsFile.isDefined) {
           requiredFile.get.dfsFileName == prevDfsFile.get.dfsFileName &&
             existingFile.length() == requiredFile.get.sizeBytes
@@ -544,7 +564,7 @@ class RocksDBFileManager(
 
         if (!isSameFile) {
           existingFile.delete()
-          localFilesToDfsFiles.remove(existingFile.getName)
+          fileMappings.localFilesToDfsFiles.remove(existingFile.getName)
           logInfo(s"Deleted local file $existingFile with size $existingFileSize mapped" +
             s" to previous dfsFile ${prevDfsFile.getOrElse("null")}")
         } else {
@@ -574,7 +594,7 @@ class RocksDBFileManager(
         }
         filesCopied += 1
         bytesCopied += localFileSize
-        localFilesToDfsFiles.put(localFileName, file)
+        fileMappings.localFilesToDfsFiles.put(localFileName, file)
         logInfo(s"Copied $dfsFile to $localFile - $localFileSize bytes")
       } else {
         filesReused += 1
@@ -592,13 +612,13 @@ class RocksDBFileManager(
   private def removeLocallyDeletedSSTFilesFromDfsMapping(localFiles: Seq[File]): Unit = {
     // clean up deleted SST files from the localFilesToDfsFiles Map
     val currentLocalFiles = localFiles.map(_.getName).toSet
-    val mappingsToClean = localFilesToDfsFiles.asScala
+    val mappingsToClean = fileMappings.localFilesToDfsFiles.asScala
       .keys
       .filterNot(currentLocalFiles.contains)
 
     mappingsToClean.foreach { f =>
       logInfo(s"cleaning $f from the localFilesToDfsFiles map")
-      localFilesToDfsFiles.remove(f)
+      fileMappings.localFilesToDfsFiles.remove(f)
     }
   }
 
@@ -705,6 +725,20 @@ class RocksDBFileManager(
   }
 }
 
+/**
+ * Track file mappings in RocksDB across local and remote directories
+ * @param versionToRocksDBFiles Mapping of RocksDB files used across versions for maintenance
+ * @param localFilesToDfsFiles Mapping of the exact Dfs file used to create a local SST file
+ * The reason localFilesToDfsFiles is a separate map because versionToRocksDBFiles can contain
+ *  multiple similar SST files to a particular local file (for example 1.sst can map to 1-UUID1.sst
+ * in v1 and 1-UUID2.sst in v2). We need to capture the exact file used to ensure Version ID
+ * compatibility across SST files and RocksDB manifest.
+ */
+
+case class RocksDBFileMappings(
+    versionToRocksDBFiles: ConcurrentHashMap[Long, Seq[RocksDBImmutableFile]],
+    localFilesToDfsFiles: ConcurrentHashMap[String, RocksDBImmutableFile])
+
 /**
  * Metrics regarding RocksDB file sync between local and DFS.
  */
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
index 89b4925db707b..973c1e0cb3b0e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBSuite.scala
@@ -19,8 +19,11 @@ package org.apache.spark.sql.execution.streaming.state
 
 import java.io._
 import java.nio.charset.Charset
+import java.util.concurrent.Executors
 
 import scala.collection.mutable
+import scala.concurrent.{ExecutionContext, Future}
+import scala.concurrent.duration._
 import scala.language.implicitConversions
 
 import org.apache.commons.io.FileUtils
@@ -477,6 +480,41 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  testWithChangelogCheckpointingEnabled("RocksDBFileManager: " +
+    "background snapshot upload doesn't acquire RocksDB instance lock") {
+    // Create a custom ExecutionContext
+    implicit val ec: ExecutionContext = ExecutionContext
+      .fromExecutor(Executors.newSingleThreadExecutor())
+
+    val remoteDir = Utils.createTempDir().toString
+    val conf = dbConf.copy(lockAcquireTimeoutMs = 10000, minDeltasForSnapshot = 0)
+    new File(remoteDir).delete() // to make sure that the directory gets created
+
+    withDB(remoteDir, conf = conf) { db =>
+      db.load(0)
+      db.put("0", "0")
+      db.commit()
+
+      // Acquire lock
+      db.load(1)
+      db.put("1", "1")
+
+      // Run doMaintenance in another thread
+      val maintenanceFuture = Future {
+        db.doMaintenance()
+      }
+
+      val timeout = 5.seconds
+
+      // Ensure that maintenance task runs without being blocked by task thread
+      ThreadUtils.awaitResult(maintenanceFuture, timeout)
+      assert(snapshotVersionsPresent(remoteDir) == Seq(1))
+
+      // Release lock
+      db.commit()
+    }
+  }
+
   testWithChangelogCheckpointingEnabled("RocksDBFileManager: read and write changelog") {
     val dfsRootDir = new File(Utils.createTempDir().getAbsolutePath + "/state/1/1")
     val fileManager = new RocksDBFileManager(
@@ -1290,7 +1328,7 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
   }
 
   testWithChangelogCheckpointingEnabled("time travel 4 -" +
-    " validate successful RocksDB load") {
+    " validate successful RocksDB load when metadata file is overwritten") {
     val remoteDir = Utils.createTempDir().toString
     val conf = dbConf.copy(minDeltasForSnapshot = 2, compactOnCommit = false)
     new File(remoteDir).delete() // to make sure that the directory gets created
@@ -1305,8 +1343,7 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
       db.load(1)
       db.put("3", "3")
 
-      // do maintenance - upload any latest snapshots so far
-      // would fail to acquire lock and no snapshots would be uploaded
+      // upload any latest snapshots so far
       db.doMaintenance()
       db.commit()
       // upload newly created snapshot 2.zip
@@ -1318,6 +1355,47 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
     }
   }
 
+  testWithChangelogCheckpointingEnabled("time travel 5 -" +
+    "validate successful RocksDB load when metadata file is not overwritten") {
+    // Ensure commit doesn't modify the latestSnapshot that doMaintenance will upload
+    val fmClass = "org.apache.spark.sql.execution.streaming.state." +
+      "NoOverwriteFileSystemBasedCheckpointFileManager"
+    withTempDir { dir =>
+      val conf = dbConf.copy(minDeltasForSnapshot = 0) // create snapshot every commit
+      val hadoopConf = new Configuration()
+      hadoopConf.set(STREAMING_CHECKPOINT_FILE_MANAGER_CLASS.parent.key, fmClass)
+
+      val remoteDir = dir.getCanonicalPath
+      withDB(remoteDir, conf = conf, hadoopConf = hadoopConf) { db =>
+        db.load(0)
+        db.put("a", "1")
+        db.commit()
+
+        // load previous version, and recreate the snapshot
+        db.load(0)
+        db.put("a", "1")
+
+        // upload version 1 snapshot created above
+        db.doMaintenance()
+        assert(snapshotVersionsPresent(remoteDir) == Seq(1))
+
+        db.commit() // create snapshot again
+
+        // load version 1 - should succeed
+        withDB(remoteDir, version = 1, conf = conf, hadoopConf = hadoopConf) { db =>
+        }
+
+        // upload recently created snapshot
+        db.doMaintenance()
+        assert(snapshotVersionsPresent(remoteDir) == Seq(1))
+
+        // load version 1 again - should succeed
+        withDB(remoteDir, version = 1, conf = conf, hadoopConf = hadoopConf) { db =>
+        }
+      }
+    }
+  }
+
   test("validate Rocks DB SST files do not have a VersionIdMismatch" +
     " when metadata file is not overwritten - scenario 1") {
     val fmClass = "org.apache.spark.sql.execution.streaming.state." +
@@ -1614,7 +1692,11 @@ class RocksDBSuite extends AlsoTestWithChangelogCheckpointingEnabled with Shared
       numKeys: Int): Unit = {
     val checkpointDir = Utils.createTempDir().getAbsolutePath // local dir to create checkpoints
     generateFiles(checkpointDir, fileToLengths)
-    fileManager.saveCheckpointToDfs(checkpointDir, version, numKeys)
+    fileManager.saveCheckpointToDfs(
+      checkpointDir,
+      version,
+      numKeys,
+      fileManager.captureFileMapReference())
   }
 
   def loadAndVerifyCheckpointFiles(

From df70cc1797c60e913885106aa155f4047a070b2a Mon Sep 17 00:00:00 2001
From: Angerszhuuuu <angers.zhu@gmail.com>
Date: Mon, 1 Jul 2024 13:22:52 -0700
Subject: [PATCH 748/986] [SPARK-48292][CORE][3.5] Revert [SPARK-39195][SQL]
 Spark OutputCommitCoordinator should abort stage when committed file not
 consistent with task status

This is a backport of #46696

### What changes were proposed in this pull request?
Revert #36564 According to discuss https://github.com/apache/spark/pull/36564#discussion_r1607575927

When spark commit task will commit to committedTaskPath
`${outputpath}/_temporary//${appAttempId}/${taskId}`
So in #36564 's case, since before #38980, each task's job id's date is not the same,  when the task writes data success but fails to send back TaskSuccess RPC, the task rerun will commit to a different committedTaskPath then causing data duplicated.

After #38980, for the same task's different attempts, the TaskId is the same now, when re-run task commit, will commit to the same committedTaskPath, and hadoop CommitProtocol will handle such case then data won't be duplicated.

Note: The taskAttemptPath is not same since in the path contains the taskAttemptId.

### Why are the changes needed?
No need anymore

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existed UT

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47166 from dongjoon-hyun/SPARK-48292.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/SparkContext.scala |  7 +------
 .../scala/org/apache/spark/SparkEnv.scala     | 12 +-----------
 .../scheduler/OutputCommitCoordinator.scala   | 12 ++++--------
 ...putCommitCoordinatorIntegrationSuite.scala | 11 +++++------
 .../OutputCommitCoordinatorSuite.scala        | 19 +++++++++----------
 5 files changed, 20 insertions(+), 41 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 4aea442bc3ce1..115f0663ef2b7 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -281,12 +281,7 @@ class SparkContext(config: SparkConf) extends Logging {
       conf: SparkConf,
       isLocal: Boolean,
       listenerBus: LiveListenerBus): SparkEnv = {
-    SparkEnv.createDriverEnv(
-      conf,
-      isLocal,
-      listenerBus,
-      SparkContext.numDriverCores(master, conf),
-      this)
+    SparkEnv.createDriverEnv(conf, isLocal, listenerBus, SparkContext.numDriverCores(master, conf))
   }
 
   private[spark] def env: SparkEnv = _env
diff --git a/core/src/main/scala/org/apache/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala
index 272a0a6332bbe..edad91a0c6f0d 100644
--- a/core/src/main/scala/org/apache/spark/SparkEnv.scala
+++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala
@@ -169,7 +169,6 @@ object SparkEnv extends Logging {
       isLocal: Boolean,
       listenerBus: LiveListenerBus,
       numCores: Int,
-      sparkContext: SparkContext,
       mockOutputCommitCoordinator: Option[OutputCommitCoordinator] = None): SparkEnv = {
     assert(conf.contains(DRIVER_HOST_ADDRESS),
       s"${DRIVER_HOST_ADDRESS.key} is not set on the driver!")
@@ -192,7 +191,6 @@ object SparkEnv extends Logging {
       numCores,
       ioEncryptionKey,
       listenerBus = listenerBus,
-      Option(sparkContext),
       mockOutputCommitCoordinator = mockOutputCommitCoordinator
     )
   }
@@ -237,7 +235,6 @@ object SparkEnv extends Logging {
   /**
    * Helper method to create a SparkEnv for a driver or an executor.
    */
-  // scalastyle:off argcount
   private def create(
       conf: SparkConf,
       executorId: String,
@@ -248,9 +245,7 @@ object SparkEnv extends Logging {
       numUsableCores: Int,
       ioEncryptionKey: Option[Array[Byte]],
       listenerBus: LiveListenerBus = null,
-      sc: Option[SparkContext] = None,
       mockOutputCommitCoordinator: Option[OutputCommitCoordinator] = None): SparkEnv = {
-    // scalastyle:on argcount
 
     val isDriver = executorId == SparkContext.DRIVER_IDENTIFIER
 
@@ -396,12 +391,7 @@ object SparkEnv extends Logging {
     }
 
     val outputCommitCoordinator = mockOutputCommitCoordinator.getOrElse {
-      if (isDriver) {
-        new OutputCommitCoordinator(conf, isDriver, sc)
-      } else {
-        new OutputCommitCoordinator(conf, isDriver)
-      }
-
+      new OutputCommitCoordinator(conf, isDriver)
     }
     val outputCommitCoordinatorRef = registerOrLookupEndpoint("OutputCommitCoordinator",
       new OutputCommitCoordinatorEndpoint(rpcEnv, outputCommitCoordinator))
diff --git a/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala b/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
index cd5d6b8f9c90d..a5858ebf9cdcc 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
@@ -44,10 +44,7 @@ private case class AskPermissionToCommitOutput(
  * This class was introduced in SPARK-4879; see that JIRA issue (and the associated pull requests)
  * for an extensive design discussion.
  */
-private[spark] class OutputCommitCoordinator(
-    conf: SparkConf,
-    isDriver: Boolean,
-    sc: Option[SparkContext] = None) extends Logging {
+private[spark] class OutputCommitCoordinator(conf: SparkConf, isDriver: Boolean) extends Logging {
 
   // Initialized by SparkEnv
   var coordinatorRef: Option[RpcEndpointRef] = None
@@ -158,10 +155,9 @@ private[spark] class OutputCommitCoordinator(
         val taskId = TaskIdentifier(stageAttempt, attemptNumber)
         stageState.failures.getOrElseUpdate(partition, mutable.Set()) += taskId
         if (stageState.authorizedCommitters(partition) == taskId) {
-          sc.foreach(_.dagScheduler.stageFailed(stage, s"Authorized committer " +
-            s"(attemptNumber=$attemptNumber, stage=$stage, partition=$partition) failed; " +
-            s"but task commit success, data duplication may happen. " +
-            s"reason=$reason"))
+          logDebug(s"Authorized committer (attemptNumber=$attemptNumber, stage=$stage, " +
+            s"partition=$partition) failed; clearing lock")
+          stageState.authorizedCommitters(partition) = null
         }
     }
   }
diff --git a/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorIntegrationSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorIntegrationSuite.scala
index 45da750768fa9..7d063c3b3ac53 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorIntegrationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorIntegrationSuite.scala
@@ -19,8 +19,9 @@ package org.apache.spark.scheduler
 
 import org.apache.hadoop.mapred.{FileOutputCommitter, TaskAttemptContext}
 import org.scalatest.concurrent.{Signaler, ThreadSignaler, TimeLimits}
+import org.scalatest.time.{Seconds, Span}
 
-import org.apache.spark.{LocalSparkContext, SparkConf, SparkContext, SparkException, SparkFunSuite, TaskContext}
+import org.apache.spark.{LocalSparkContext, SparkConf, SparkContext, SparkFunSuite, TaskContext}
 
 /**
  * Integration tests for the OutputCommitCoordinator.
@@ -44,15 +45,13 @@ class OutputCommitCoordinatorIntegrationSuite
     sc = new SparkContext("local[2, 4]", "test", conf)
   }
 
-  test("SPARK-39195: exception thrown in OutputCommitter.commitTask()") {
+  test("exception thrown in OutputCommitter.commitTask()") {
     // Regression test for SPARK-10381
-    val e = intercept[SparkException] {
+    failAfter(Span(60, Seconds)) {
       withTempDir { tempDir =>
         sc.parallelize(1 to 4, 2).map(_.toString).saveAsTextFile(tempDir.getAbsolutePath + "/out")
       }
-    }.getCause.getMessage
-    assert(e.contains("failed; but task commit success, data duplication may happen.") &&
-      e.contains("Intentional exception"))
+    }
   }
 }
 
diff --git a/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorSuite.scala
index 44dc9a5f97dab..d84892be14af5 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/OutputCommitCoordinatorSuite.scala
@@ -87,12 +87,11 @@ class OutputCommitCoordinatorSuite extends SparkFunSuite with BeforeAndAfter {
           isLocal: Boolean,
           listenerBus: LiveListenerBus): SparkEnv = {
         outputCommitCoordinator =
-          spy[OutputCommitCoordinator](
-            new OutputCommitCoordinator(conf, isDriver = true, Option(this)))
+          spy[OutputCommitCoordinator](new OutputCommitCoordinator(conf, isDriver = true))
         // Use Mockito.spy() to maintain the default infrastructure everywhere else.
         // This mocking allows us to control the coordinator responses in test cases.
         SparkEnv.createDriverEnv(conf, isLocal, listenerBus,
-          SparkContext.numDriverCores(master), this, Some(outputCommitCoordinator))
+          SparkContext.numDriverCores(master), Some(outputCommitCoordinator))
       }
     }
     // Use Mockito.spy() to maintain the default infrastructure everywhere else
@@ -190,9 +189,12 @@ class OutputCommitCoordinatorSuite extends SparkFunSuite with BeforeAndAfter {
     // The authorized committer now fails, clearing the lock
     outputCommitCoordinator.taskCompleted(stage, stageAttempt, partition,
       attemptNumber = authorizedCommitter, reason = TaskKilled("test"))
-    // A new task should not be allowed to become stage failed because of potential data duplication
-    assert(!outputCommitCoordinator.canCommit(stage, stageAttempt, partition,
+    // A new task should now be allowed to become the authorized committer
+    assert(outputCommitCoordinator.canCommit(stage, stageAttempt, partition,
       nonAuthorizedCommitter + 2))
+    // There can only be one authorized committer
+    assert(!outputCommitCoordinator.canCommit(stage, stageAttempt, partition,
+      nonAuthorizedCommitter + 3))
   }
 
   test("SPARK-19631: Do not allow failed attempts to be authorized for committing") {
@@ -226,8 +228,7 @@ class OutputCommitCoordinatorSuite extends SparkFunSuite with BeforeAndAfter {
     assert(outputCommitCoordinator.canCommit(stage, 2, partition, taskAttempt))
 
     // Commit the 1st attempt, fail the 2nd attempt, make sure 3rd attempt cannot commit,
-    // then fail the 1st attempt and since stage failed because of potential data duplication,
-    // make sure fail the 4th attempt.
+    // then fail the 1st attempt and make sure the 4th one can commit again.
     stage += 1
     outputCommitCoordinator.stageStart(stage, maxPartitionId = 1)
     assert(outputCommitCoordinator.canCommit(stage, 1, partition, taskAttempt))
@@ -236,9 +237,7 @@ class OutputCommitCoordinatorSuite extends SparkFunSuite with BeforeAndAfter {
     assert(!outputCommitCoordinator.canCommit(stage, 3, partition, taskAttempt))
     outputCommitCoordinator.taskCompleted(stage, 1, partition, taskAttempt,
       ExecutorLostFailure("0", exitCausedByApp = true, None))
-    // A new task should not be allowed to become the authorized committer since stage failed
-    // because of potential data duplication
-    assert(!outputCommitCoordinator.canCommit(stage, 4, partition, taskAttempt))
+    assert(outputCommitCoordinator.canCommit(stage, 4, partition, taskAttempt))
   }
 
   test("SPARK-24589: Make sure stage state is cleaned up") {

From ef4e45646205ec7fb08485a348d6bb5879477cb8 Mon Sep 17 00:00:00 2001
From: Amanda Liu <amanda.liu@databricks.com>
Date: Tue, 2 Jul 2024 22:22:22 +0800
Subject: [PATCH 749/986] [SPARK-48759][SQL] Add migration doc for CREATE TABLE
 AS SELECT behavior change behavior change since Spark 3.4 (branch-3.5)

### What changes were proposed in this pull request?

This PR is a follow-up to #47152 against `branch-3.5`.

Add migration guide for `CREATE TABLE AS SELECT...` behavior change.

SPARK-41859 changes the behaviour for `CREATE TABLE AS SELECT ...` from OVERWRITE to APPEND when `spark.sql.legacy.allowNonEmptyLocationInCTAS` is set to `true`:

```
drop table if exists test_table;
create table test_table location '/tmp/test_table' stored as parquet as select 1 as col union all select 2 as col;
drop table if exists test_table;
create table test_table location '/tmp/test_table' stored as parquet as select 3 as col union all select 4 as col;
select * from test_table;

```
This produces {3, 4} in Spark <3.4.0 and {1, 2, 3, 4} in Spark 3.4.0 and later. This is a silent change in `spark.sql.legacy.allowNonEmptyLocationInCTAS` behaviour which introduces wrong results in the user application.

### Why are the changes needed?
This documents a behavior change starting in Spark 3.4 for `CREATE TABLE AS SELECT`

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
`doc build
`
### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47178 from asl3/allowNonEmptyLocationInCTAS-3.5.

Authored-by: Amanda Liu <amanda.liu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 docs/sql-migration-guide.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 3bb83750ef927..964f7de637e8b 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -58,6 +58,7 @@ license: |
   - Since Spark 3.4, `BinaryType` is not supported in CSV datasource. In Spark 3.3 or earlier, users can write binary columns in CSV datasource, but the output content in CSV files is `Object.toString()` which is meaningless; meanwhile, if users read CSV tables with binary columns, Spark will throw an `Unsupported type: binary` exception.
   - Since Spark 3.4, bloom filter joins are enabled by default. To restore the legacy behavior, set `spark.sql.optimizer.runtime.bloomFilter.enabled` to `false`.
   - Since Spark 3.4, when schema inference on external Parquet files, INT64 timestamps with annotation `isAdjustedToUTC=false` will be inferred as TimestampNTZ type instead of Timestamp type. To restore the legacy behavior, set `spark.sql.parquet.inferTimestampNTZ.enabled` to `false`.
+  - Since Spark 3.4, the behavior for `CREATE TABLE AS SELECT ...` is changed from OVERWRITE to APPEND when `spark.sql.legacy.allowNonEmptyLocationInCTAS` is set to `true`. Users are recommended to avoid CTAS with a non-empty table location.
 
 ## Upgrading from Spark SQL 3.2 to 3.3
 

From 44eba46cc8b90be990177450141c48746fa5b67d Mon Sep 17 00:00:00 2001
From: Patrick Marx <6949483+codesorcery@users.noreply.github.com>
Date: Wed, 3 Jul 2024 09:22:11 +0900
Subject: [PATCH 750/986] [SPARK-48710][PYTHON][3.5] Limit NumPy version to
 supported range (>=1.15,<2)

### What changes were proposed in this pull request?
 * Add a constraint for `numpy<2` to the PySpark package

### Why are the changes needed?

PySpark references some code which was removed with NumPy 2.0. Thus, if `numpy>=2` is installed, executing PySpark may fail.

https://github.com/apache/spark/pull/47083 updates the `master` branch to be compatible with NumPy 2. This PR adds a version bound for older releases, where it won't be applied.

### Does this PR introduce _any_ user-facing change?
NumPy will be limited to `numpy<2` when installing `pypspark` with extras `ml`, `mllib`, `sql`, `pandas_on_spark` or `connect`.

### How was this patch tested?
Via existing CI jobs.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47175 from codesorcery/SPARK-48710-numpy-upper-bound.

Authored-by: Patrick Marx <6949483+codesorcery@users.noreply.github.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/setup.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/python/setup.py b/python/setup.py
index 2110c2839ca70..ddd961d0412b5 100755
--- a/python/setup.py
+++ b/python/setup.py
@@ -307,17 +307,17 @@ def run(self):
         # if you're updating the versions or dependencies.
         install_requires=["py4j==0.10.9.7"],
         extras_require={
-            "ml": ["numpy>=1.15"],
-            "mllib": ["numpy>=1.15"],
+            "ml": ["numpy>=1.15,<2"],
+            "mllib": ["numpy>=1.15,<2"],
             "sql": [
                 "pandas>=%s" % _minimum_pandas_version,
                 "pyarrow>=%s" % _minimum_pyarrow_version,
-                "numpy>=1.15",
+                "numpy>=1.15,<2",
             ],
             "pandas_on_spark": [
                 "pandas>=%s" % _minimum_pandas_version,
                 "pyarrow>=%s" % _minimum_pyarrow_version,
-                "numpy>=1.15",
+                "numpy>=1.15,<2",
             ],
             "connect": [
                 "pandas>=%s" % _minimum_pandas_version,
@@ -325,7 +325,7 @@ def run(self):
                 "grpcio>=%s" % _minimum_grpc_version,
                 "grpcio-status>=%s" % _minimum_grpc_version,
                 "googleapis-common-protos>=%s" % _minimum_googleapis_common_protos_version,
-                "numpy>=1.15",
+                "numpy>=1.15,<2",
             ],
         },
         python_requires=">=3.8",

From 1cc0043fe549dcdf918d9dad21462a1e4714bb5d Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Thu, 4 Jul 2024 22:27:01 +0800
Subject: [PATCH 751/986] [SPARK-48806][SQL] Pass actual exception when
 url_decode fails

### What changes were proposed in this pull request?

Pass actual exception for url_decode.

Follow-up to https://issues.apache.org/jira/browse/SPARK-40156

### Why are the changes needed?

Currently url_decode function ignores actual exception, which contains information that is useful for quickly locating the problem.

Like executing this sql:
```
select url_decode('https%3A%2F%2spark.apache.org');
```
We only get the error message:
```
org.apache.spark.SparkIllegalArgumentException: [CANNOT_DECODE_URL] The provided URL cannot be decoded: https%3A%2F%2spark.apache.org. Please ensure that the URL is properly formatted and try again.
    at org.apache.spark.sql.errors.QueryExecutionErrors$.illegalUrlError(QueryExecutionErrors.scala:376)
    at org.apache.spark.sql.catalyst.expressions.UrlCodec$.decode(urlExpressions.scala:118)
    at org.apache.spark.sql.catalyst.expressions.UrlCodec.decode(urlExpressions.scala)
```
However, the actual useful exception information is ignored:
```
java.lang.IllegalArgumentException: URLDecoder: Illegal hex characters in escape (%) pattern - Error at index 1 in: "2s"
```

After this pr we will get:

```
org.apache.spark.SparkIllegalArgumentException: [CANNOT_DECODE_URL] The provided URL cannot be decoded: https%3A%2F%2spark.apache.org. Please ensure that the URL is properly formatted and try again. SQLSTATE: 22546
	at org.apache.spark.sql.errors.QueryExecutionErrors$.illegalUrlError(QueryExecutionErrors.scala:372)
	at org.apache.spark.sql.catalyst.expressions.UrlCodec$.decode(urlExpressions.scala:119)
	at org.apache.spark.sql.catalyst.expressions.UrlCodec.decode(urlExpressions.scala)
	...
Caused by: java.lang.IllegalArgumentException: URLDecoder: Illegal hex characters in escape (%) pattern - Error at index 1 in: "2s"
	at java.base/java.net.URLDecoder.decode(URLDecoder.java:237)
	at java.base/java.net.URLDecoder.decode(URLDecoder.java:147)
	at org.apache.spark.sql.catalyst.expressions.UrlCodec$.decode(urlExpressions.scala:116)
	... 135 more
```

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47211 from wForget/SPARK-48806.

Lead-authored-by: wforget <643348094@qq.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 310f8ea2456dad7cec0f22bfed05a679764c3d7e)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/catalyst/expressions/urlExpressions.scala     |  2 +-
 .../spark/sql/errors/QueryExecutionErrors.scala       |  5 +++--
 .../org/apache/spark/sql/StringFunctionsSuite.scala   | 11 ++++++++++-
 3 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/urlExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/urlExpressions.scala
index 47b37a5edeba8..0dd14d313e17e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/urlExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/urlExpressions.scala
@@ -115,7 +115,7 @@ object UrlCodec {
       UTF8String.fromString(URLDecoder.decode(src.toString, enc.toString))
     } catch {
       case e: IllegalArgumentException =>
-        throw QueryExecutionErrors.illegalUrlError(src)
+        throw QueryExecutionErrors.illegalUrlError(src, e)
     }
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index f4968cd005708..798146839464c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -372,10 +372,11 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       cause = e)
   }
 
-  def illegalUrlError(url: UTF8String): Throwable = {
+  def illegalUrlError(url: UTF8String, e: IllegalArgumentException): Throwable = {
     new SparkIllegalArgumentException(
       errorClass = "CANNOT_DECODE_URL",
-      messageParameters = Map("url" -> url.toString)
+      messageParameters = Map("url" -> url.toString),
+      cause = e
     )
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
index 4709c2b5e192c..fa1a64460fcb4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql
 
-import org.apache.spark.{SPARK_DOC_ROOT, SparkRuntimeException}
+import org.apache.spark.{SPARK_DOC_ROOT, SparkIllegalArgumentException, SparkRuntimeException}
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.execution.FormattedMode
 import org.apache.spark.sql.functions._
@@ -1191,4 +1191,13 @@ class StringFunctionsSuite extends QueryTest with SharedSparkSession {
       )
     )
   }
+
+  test("SPARK-48806: url_decode exception") {
+    val e = intercept[SparkIllegalArgumentException] {
+      sql("select url_decode('https%3A%2F%2spark.apache.org')").collect()
+    }
+    assert(e.getCause.isInstanceOf[IllegalArgumentException] &&
+      e.getCause.getMessage
+        .startsWith("URLDecoder: Illegal hex characters in escape (%) pattern - "))
+  }
 }

From 67047cde8bb70e32f2b6f8162388240dee215aa4 Mon Sep 17 00:00:00 2001
From: Wei Guo <guow93@gmail.com>
Date: Mon, 8 Jul 2024 17:22:27 +0800
Subject: [PATCH 752/986] [SPARK-48719][SQL][3.5] Fix the calculation bug of
 RegrSlope & RegrIntercept when the first parameter is null

### What changes were proposed in this pull request?

This PR aims to fix the calculation bug of RegrSlope&RegrIntercept when the first parameter is null. Regardless of whether the first parameter(y) or the second parameter(x) is null, this tuple should be filtered out.

### Why are the changes needed?

Fix bug.

### Does this PR introduce _any_ user-facing change?

Yes, the calculation changes when the first value of a tuple is null, but the value is truly correct.

### How was this patch tested?

Pass GA and test with build/sbt "~sql/testOnly org.apache.spark.sql.SQLQueryTestSuite -- -z linear-regression.sql"

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47230 from wayneguow/SPARK-48719_3_5.

Authored-by: Wei Guo <guow93@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../aggregate/linearRegression.scala          | 20 ++++++++++++----
 .../linear-regression.sql.out                 |  4 ++--
 .../sql-tests/inputs/linear-regression.sql    |  2 +-
 .../results/linear-regression.sql.out         | 24 +++++++++----------
 4 files changed, 31 insertions(+), 19 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/linearRegression.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/linearRegression.scala
index 40518982958cd..7d73cf211a6e7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/linearRegression.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/linearRegression.scala
@@ -271,8 +271,14 @@ case class RegrSlope(left: Expression, right: Expression) extends DeclarativeAgg
 
   override lazy val initialValues: Seq[Expression] = covarPop.initialValues ++ varPop.initialValues
 
-  override lazy val updateExpressions: Seq[Expression] =
-    covarPop.updateExpressions ++ varPop.updateExpressions
+  override lazy val updateExpressions: Seq[Expression] = {
+    // RegrSlope only handles paris where both y and x are non-empty, so we need additional
+    // judgment for calculating VariancePop.
+    val isNull = left.isNull || right.isNull
+    covarPop.updateExpressions ++ varPop.updateExpressions.zip(varPop.aggBufferAttributes).map {
+      case (newValue, oldValue) => If(isNull, oldValue, newValue)
+    }
+  }
 
   override lazy val mergeExpressions: Seq[Expression] =
     covarPop.mergeExpressions ++ varPop.mergeExpressions
@@ -324,8 +330,14 @@ case class RegrIntercept(left: Expression, right: Expression) extends Declarativ
 
   override lazy val initialValues: Seq[Expression] = covarPop.initialValues ++ varPop.initialValues
 
-  override lazy val updateExpressions: Seq[Expression] =
-    covarPop.updateExpressions ++ varPop.updateExpressions
+  override lazy val updateExpressions: Seq[Expression] = {
+    // RegrIntercept only handles paris where both y and x are non-empty, so we need additional
+    // judgment for calculating VariancePop.
+    val isNull = left.isNull || right.isNull
+    covarPop.updateExpressions ++ varPop.updateExpressions.zip(varPop.aggBufferAttributes).map {
+      case (newValue, oldValue) => If(isNull, oldValue, newValue)
+    }
+  }
 
   override lazy val mergeExpressions: Seq[Expression] =
     covarPop.mergeExpressions ++ varPop.mergeExpressions
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/linear-regression.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/linear-regression.sql.out
index 7c91139921b58..a791a4f35e98a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/linear-regression.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/linear-regression.sql.out
@@ -1,11 +1,11 @@
 -- Automatically generated by SQLQueryTestSuite
 -- !query
 CREATE OR REPLACE TEMPORARY VIEW testRegression AS SELECT * FROM VALUES
-(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35)
+(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35), (2, null, 40)
 AS testRegression(k, y, x)
 -- !query analysis
 CreateViewCommand `testRegression`, SELECT * FROM VALUES
-(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35)
+(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35), (2, null, 40)
 AS testRegression(k, y, x), false, true, LocalTempView, true
    +- Project [k#x, y#x, x#x]
       +- SubqueryAlias testRegression
diff --git a/sql/core/src/test/resources/sql-tests/inputs/linear-regression.sql b/sql/core/src/test/resources/sql-tests/inputs/linear-regression.sql
index c7cb5bf1117a7..df286d2a9b0a9 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/linear-regression.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/linear-regression.sql
@@ -1,6 +1,6 @@
 -- Test data.
 CREATE OR REPLACE TEMPORARY VIEW testRegression AS SELECT * FROM VALUES
-(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35)
+(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35), (2, null, 40)
 AS testRegression(k, y, x);
 
 -- SPARK-37613: Support ANSI Aggregate Function: regr_count
diff --git a/sql/core/src/test/resources/sql-tests/results/linear-regression.sql.out b/sql/core/src/test/resources/sql-tests/results/linear-regression.sql.out
index 1379713a9fb0d..e511ea75aae5a 100644
--- a/sql/core/src/test/resources/sql-tests/results/linear-regression.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/linear-regression.sql.out
@@ -1,7 +1,7 @@
 -- Automatically generated by SQLQueryTestSuite
 -- !query
 CREATE OR REPLACE TEMPORARY VIEW testRegression AS SELECT * FROM VALUES
-(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35)
+(1, 10, null), (2, 10, 11), (2, 20, 22), (2, 25, null), (2, 30, 35), (2, null, 40)
 AS testRegression(k, y, x)
 -- !query schema
 struct<>
@@ -31,7 +31,7 @@ SELECT k, count(*), regr_count(y, x) FROM testRegression GROUP BY k
 struct<k:int,count(1):bigint,regr_count(y, x):bigint>
 -- !query output
 1	1	0
-2	4	3
+2	5	3
 
 
 -- !query
@@ -40,7 +40,7 @@ SELECT k, count(*) FILTER (WHERE x IS NOT NULL), regr_count(y, x) FROM testRegre
 struct<k:int,count(1) FILTER (WHERE (x IS NOT NULL)):bigint,regr_count(y, x):bigint>
 -- !query output
 1	0	0
-2	3	3
+2	4	3
 
 
 -- !query
@@ -99,7 +99,7 @@ SELECT k, avg(x), avg(y), regr_avgx(y, x), regr_avgy(y, x) FROM testRegression G
 struct<k:int,avg(x):double,avg(y):double,regr_avgx(y, x):double,regr_avgy(y, x):double>
 -- !query output
 1	NULL	10.0	NULL	NULL
-2	22.666666666666668	21.25	22.666666666666668	20.0
+2	27.0	21.25	22.666666666666668	20.0
 
 
 -- !query
@@ -116,7 +116,7 @@ SELECT regr_sxx(y, x) FROM testRegression
 -- !query schema
 struct<regr_sxx(y, x):double>
 -- !query output
-288.66666666666663
+288.6666666666667
 
 
 -- !query
@@ -124,7 +124,7 @@ SELECT regr_sxx(y, x) FROM testRegression WHERE x IS NOT NULL AND y IS NOT NULL
 -- !query schema
 struct<regr_sxx(y, x):double>
 -- !query output
-288.66666666666663
+288.6666666666667
 
 
 -- !query
@@ -133,7 +133,7 @@ SELECT k, regr_sxx(y, x) FROM testRegression GROUP BY k
 struct<k:int,regr_sxx(y, x):double>
 -- !query output
 1	NULL
-2	288.66666666666663
+2	288.6666666666667
 
 
 -- !query
@@ -141,7 +141,7 @@ SELECT k, regr_sxx(y, x) FROM testRegression WHERE x IS NOT NULL AND y IS NOT NU
 -- !query schema
 struct<k:int,regr_sxx(y, x):double>
 -- !query output
-2	288.66666666666663
+2	288.6666666666667
 
 
 -- !query
@@ -215,7 +215,7 @@ SELECT regr_slope(y, x) FROM testRegression
 -- !query schema
 struct<regr_slope(y, x):double>
 -- !query output
-0.8314087759815244
+0.8314087759815242
 
 
 -- !query
@@ -223,7 +223,7 @@ SELECT regr_slope(y, x) FROM testRegression WHERE x IS NOT NULL AND y IS NOT NUL
 -- !query schema
 struct<regr_slope(y, x):double>
 -- !query output
-0.8314087759815244
+0.8314087759815242
 
 
 -- !query
@@ -232,7 +232,7 @@ SELECT k, regr_slope(y, x) FROM testRegression GROUP BY k
 struct<k:int,regr_slope(y, x):double>
 -- !query output
 1	NULL
-2	0.8314087759815244
+2	0.8314087759815242
 
 
 -- !query
@@ -240,7 +240,7 @@ SELECT k, regr_slope(y, x) FROM testRegression WHERE x IS NOT NULL AND y IS NOT
 -- !query schema
 struct<k:int,regr_slope(y, x):double>
 -- !query output
-2	0.8314087759815244
+2	0.8314087759815242
 
 
 -- !query

From 1e15e3f3eb2bd92f3a3c5365a99afea10c392084 Mon Sep 17 00:00:00 2001
From: Nemanja Boric <nemanja.boric@databricks.com>
Date: Wed, 10 Jul 2024 20:39:00 +0800
Subject: [PATCH 753/986] [SPARK-48843] Prevent infinite loop with
 BindParameters

### What changes were proposed in this pull request?

In order to resolve the named parameters on the subtree, BindParameters recurses into the subtrees and tries to match the pattern with the named parameters. If there's no named parameter in the current level, the rule tries to return the unchanged plan. However, instead of returning the current plan object, the rule always returns the captured root plan node, leading into the infinite recursion.

### Why are the changes needed?

Infinite recursion with the named parameters and the global limit.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47271 from nemanja-boric-databricks/fix-bind.

Lead-authored-by: Nemanja Boric <nemanja.boric@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit a39f70d0c8e85c9911d9a15445fd2a136a66ae4b)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 python/pyspark/sql/tests/connect/test_connect_basic.py     | 7 +++++++
 .../apache/spark/sql/catalyst/analysis/parameters.scala    | 2 +-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 48e5248e28f53..d1f6994edba7b 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -1242,6 +1242,13 @@ def test_sql_with_named_args(self):
         df2 = self.spark.sql("SELECT * FROM range(10) WHERE id > :minId", args={"minId": 7})
         self.assert_eq(df.toPandas(), df2.toPandas())
 
+    def test_namedargs_with_global_limit(self):
+        sqlText = """SELECT * FROM VALUES (TIMESTAMP('2022-12-25 10:30:00'), 1) as tab(date, val)
+         where val = :val"""
+        df = self.connect.sql(sqlText, args={"val": 1})
+        df2 = self.spark.sql(sqlText, args={"val": 1})
+        self.assert_eq(df.toPandas(), df2.toPandas())
+
     def test_sql_with_pos_args(self):
         df = self.connect.sql("SELECT * FROM range(10) WHERE id > ?", args=[7])
         df2 = self.spark.sql("SELECT * FROM range(10) WHERE id > ?", args=[7])
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/parameters.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/parameters.scala
index 2e3cabce24a4b..20cc9a2ab5450 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/parameters.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/parameters.scala
@@ -136,7 +136,7 @@ object BindParameters extends Rule[LogicalPlan] with QueryErrorsBase {
             args(posToIndex(pos))
         }
 
-      case _ => plan
+      case other => other
     }
   }
 }

From 8afce303a27cbc82d195e00966a51c9fecefa038 Mon Sep 17 00:00:00 2001
From: Ivan Sadikov <ivan.sadikov@databricks.com>
Date: Thu, 11 Jul 2024 15:02:57 +0900
Subject: [PATCH 754/986] [SPARK-48863][SQL] Fix ClassCastException when
 parsing JSON with "spark.sql.json.enablePartialResults" enabled

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### What changes were proposed in this pull request?
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This PR fixes a bug in a corner case of JSON parsing when `spark.sql.json.enablePartialResults` is enabled.

When running the following query with the config set to true:
```
select from_json('{"a":"b","c":"d"}', 'array<struct<a:string, c:int>>')
```
the code would fail with
```
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure:
Lost task 0.0 in stage 4.0 (TID 4) (ip-10-110-51-101.us-west-2.compute.internal executor driver):
java.lang.ClassCastException: class org.apache.spark.unsafe.types.UTF8String cannot be cast to class
org.apache.spark.sql.catalyst.util.ArrayData (org.apache.spark.unsafe.types.UTF8String and
org.apache.spark.sql.catalyst.util.ArrayData are in unnamed module of loader 'app')
    at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray(rows.scala:53)
    at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray$(rows.scala:53)
    at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getArray(rows.scala:172)
    at org.apache.spark.sql.catalyst.expressions.JsonToStructs.$anonfun$converter$2(jsonExpressions.scala:831)
    at org.apache.spark.sql.catalyst.expressions.JsonToStructs.nullSafeEval(jsonExpressions.scala:893)
```

The patch fixes the issue by re-throwing PartialArrayDataResultException if parsing fails in this special case.

### Why are the changes needed?
<!--
Please clarify why the changes are needed. For instance,
  1. If you propose a new API, clarify the use case for a new API.
  2. If you fix a bug, you can clarify why it is a bug.
-->

Fixes the bug that would prevent users from reading objects as arrays as introduced in SPARK-19595. This is more of a special case but it works with the flag off so it would be good to fix it when the flag is on.

### Does this PR introduce _any_ user-facing change?
<!--
Note that it means *any* user-facing change including all aspects such as the documentation fix.
If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description and/or an example to show the behavior difference if possible.
If possible, please also clarify if this is a user-facing change compared to the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
-->

Yes, but it is a bug fix so it would not have worked without this patch overall.
The parsing output will be different due to the partial results improvement:

Previously, we would get `null` (the partial results are disabled). With this patch and partial results enabled, this will return `Array([b, null])`. This is not specific to this patch but rather to the partial results feature in general.

### How was this patch tested?
<!--
If tests were added, say they were added here. Please make sure to add some test cases that check the changes thoroughly including negative and positive cases if possible.
If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future.
If tests were not added, please describe why they were not added and/or why it was difficult to add.
If benchmark tests were added, please run the benchmarks in GitHub Actions for the consistent environment, and the instructions could accord to: https://spark.apache.org/developer-tools.html#github-workflow-benchmarks.
-->

I added a unit test.

### Was this patch authored or co-authored using generative AI tooling?
<!--
If generative AI tooling has been used in the process of authoring this patch, please include the
phrase: 'Generated-by: ' followed by the name of the tool and its version.
If no, write 'No'.
Please refer to the [ASF Generative Tooling Guidance](https://www.apache.org/legal/generative-tooling.html) for details.
-->

No.

Closes #47292 from sadikovi/SPARK-48863.

Authored-by: Ivan Sadikov <ivan.sadikov@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 31d5ea1c3bc402596e604c335a77476d83f3edee)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/catalyst/json/JacksonParser.scala     | 13 +++++++-
 .../apache/spark/sql/JsonFunctionsSuite.scala | 32 +++++++++++++++++++
 2 files changed, 44 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
index 3f6ea9a174c0c..e043230c683c5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
@@ -180,7 +180,18 @@ class JacksonParser(
         //
         val st = at.elementType.asInstanceOf[StructType]
         val fieldConverters = st.map(_.dataType).map(makeConverter).toArray
-        Some(InternalRow(new GenericArrayData(convertObject(parser, st, fieldConverters).toArray)))
+
+        val res = try {
+          convertObject(parser, st, fieldConverters)
+        } catch {
+          case err: PartialResultException =>
+            throw PartialArrayDataResultException(
+              new GenericArrayData(Seq(err.partialResult)),
+              err.cause
+            )
+        }
+
+        Some(InternalRow(new GenericArrayData(res.toArray)))
     }
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
index a76e102fe913f..0d30d8e95ee7b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
@@ -1144,6 +1144,38 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
     }
   }
 
+  test("SPARK-48863: parse object as an array with partial results enabled") {
+    val schema = StructType(StructField("a", StringType) :: StructField("c", IntegerType) :: Nil)
+
+    // Value can be parsed correctly and should return the same result with or without the flag.
+    Seq(false, true).foreach { enabled =>
+      withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> s"${enabled}") {
+        checkAnswer(
+          Seq("""{"a": "b", "c": 1}""").toDF("c0")
+            .select(from_json($"c0", ArrayType(schema))),
+          Row(Seq(Row("b", 1)))
+        )
+      }
+    }
+
+    // Value does not match the schema.
+    val df = Seq("""{"a": "b", "c": "1"}""").toDF("c0")
+
+    withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "true") {
+      checkAnswer(
+        df.select(from_json($"c0", ArrayType(schema))),
+        Row(Seq(Row("b", null)))
+      )
+    }
+
+    withSQLConf(SQLConf.JSON_ENABLE_PARTIAL_RESULTS.key -> "false") {
+      checkAnswer(
+        df.select(from_json($"c0", ArrayType(schema))),
+        Row(null)
+      )
+    }
+  }
+
   test("SPARK-33270: infers schema for JSON field with spaces and pass them to from_json") {
     val in = Seq("""{"a b": 1}""").toDS()
     val out = in.select(from_json($"value", schema_of_json("""{"a b": 100}""")) as "parsed")

From 2bb46e0296000f1be5123d428675927e695cd327 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 23 Apr 2024 07:41:38 -0700
Subject: [PATCH 755/986] [MINOR][DOCS] Add `docs/_generated/` to .gitignore

### What changes were proposed in this pull request?

This PR adds the auto-generated content `docs/_generated/` to .gitignore

### Why are the changes needed?

vcs improvement

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46178 from yaooqinn/minor.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 064b502175b79..ca22dd7845281 100644
--- a/.gitignore
+++ b/.gitignore
@@ -50,6 +50,7 @@ dev/create-release/*final
 dev/create-release/*txt
 dev/pr-deps/
 dist/
+docs/_generated/
 docs/_site/
 docs/api
 docs/.local_ruby_bundle

From d517a6392b160f23c0fb633074f567c08000921a Mon Sep 17 00:00:00 2001
From: Wei Guo <guow93@gmail.com>
Date: Thu, 11 Jul 2024 08:16:37 -0700
Subject: [PATCH 756/986] [MINOR][SQL][TESTS] Remove a duplicate test case in
 `CSVExprUtilsSuite`

### What changes were proposed in this pull request?

This PR aims to remove a duplicate test case in `CSVExprUtilsSuite`.

### Why are the changes needed?

Clean duplicate code.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass GA.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47298 from wayneguow/csv_suite.

Authored-by: Wei Guo <guow93@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 297a9d2ac77373157473950f607728b6f4c1c542)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../org/apache/spark/sql/catalyst/csv/CSVExprUtilsSuite.scala   | 2 --
 1 file changed, 2 deletions(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVExprUtilsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVExprUtilsSuite.scala
index fcb10c98243d9..d94b74cff3032 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVExprUtilsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVExprUtilsSuite.scala
@@ -76,8 +76,6 @@ class CSVExprUtilsSuite extends SparkFunSuite {
     // tab in the middle of some other letters
     ("""ba\tr""", Some("ba\tr"), None),
     // null character, expressed in Unicode literal syntax
-    ("\u0000", Some("\u0000"), None),
-    // and specified directly
     ("\u0000", Some("\u0000"), None)
   )
 

From b15a8725b25c0b3f78efcccfb1f69e8d7fbd9a72 Mon Sep 17 00:00:00 2001
From: "zhipeng.mao" <zhipeng.mao@databricks.com>
Date: Fri, 12 Jul 2024 14:51:47 +0800
Subject: [PATCH 757/986] =?UTF-8?q?[SPARK-48871]=20Fix=20INVALID=5FNON=5FD?=
 =?UTF-8?q?ETERMINISTIC=5FEXPRESSIONS=20validation=20in=E2=80=A6?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

… CheckAnalysis

The PR added a trait that logical plans can extend to implement a method to decide whether there can be non-deterministic expressions for the operator, and check this method in checkAnalysis.

I encountered the `INVALID_NON_DETERMINISTIC_EXPRESSIONS` exception when attempting to use a non-deterministic udf in my query. The non-deterministic expression can be safely allowed for my custom LogicalPlan, but it is disabled in the checkAnalysis phase. The CheckAnalysis rule is too strict so that reasonable use cases of non-deterministic expressions are also disabled.

No

The test case `"SPARK-48871: AllowsNonDeterministicExpression allow lists non-deterministic expressions"` is added.

No

Closes #47304 from zhipengmao-db/zhipengmao-db/SPARK-48871-check-analysis.

Lead-authored-by: zhipeng.mao <zhipeng.mao@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 9cbd5dd4e7477294f7d4289880c7ea0dd67b38d3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/CheckAnalysis.scala | 12 ++++++++++
 .../plans/logical/basicLogicalOperators.scala | 10 ++++++++
 .../analysis/AnalysisErrorSuite.scala         | 23 +++++++++++++++++++
 3 files changed, 45 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
index 485015f2efab4..bb399e41d7d01 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
@@ -157,6 +157,17 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
     visited(cteId) = true
   }
 
+  /**
+   * Checks whether the operator allows non-deterministic expressions.
+   */
+  private def operatorAllowsNonDeterministicExpressions(plan: LogicalPlan): Boolean = {
+    plan match {
+      case p: SupportsNonDeterministicExpression =>
+        p.allowNonDeterministicExpression
+      case _ => false
+    }
+  }
+
   def checkAnalysis(plan: LogicalPlan): Unit = {
     val inlineCTE = InlineCTE(alwaysInline = true)
     val cteMap = mutable.HashMap.empty[Long, (CTERelationDef, Int, mutable.Map[Long, Int])]
@@ -771,6 +782,7 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog with QueryErrorsB
                 "dataType" -> toSQLType(mapCol.dataType)))
 
           case o if o.expressions.exists(!_.deterministic) &&
+            !operatorAllowsNonDeterministicExpressions(o) &&
             !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
             !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] &&
             !o.isInstanceOf[Expand] &&
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index ca2c6a8505617..f76e698a64005 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1957,6 +1957,16 @@ case class DeduplicateWithinWatermark(keys: Seq[Attribute], child: LogicalPlan)
  */
 trait SupportsSubquery extends LogicalPlan
 
+/**
+ * Trait that logical plans can extend to check whether it can allow non-deterministic
+ * expressions and pass the CheckAnalysis rule.
+ */
+trait SupportsNonDeterministicExpression extends LogicalPlan {
+
+  /** Returns whether it allows non-deterministic expressions. */
+  def allowNonDeterministicExpression: Boolean
+}
+
 /**
  * Collect arbitrary (named) metrics from a dataset. As soon as the query reaches a completion
  * point (batch query completes or streaming query epoch completes) an event is emitted on the
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
index a7df53db936f3..6b5f0fe3876da 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisErrorSuite.scala
@@ -118,6 +118,13 @@ case class TestFunctionWithTypeCheckFailure(
 
 case class UnresolvedTestPlan() extends UnresolvedLeafNode
 
+case class SupportsNonDeterministicExpressionTestOperator(
+    actions: Seq[Expression],
+    allowNonDeterministicExpression: Boolean)
+  extends LeafNode with SupportsNonDeterministicExpression {
+  override def output: Seq[Attribute] = Seq()
+}
+
 class AnalysisErrorSuite extends AnalysisTest {
   import TestRelations._
 
@@ -1327,4 +1334,20 @@ class AnalysisErrorSuite extends AnalysisTest {
       )
     }
   }
+
+  test("SPARK-48871: SupportsNonDeterministicExpression allows non-deterministic expressions") {
+    val nonDeterministicExpressions = Seq(new Rand())
+    val tolerantPlan =
+      SupportsNonDeterministicExpressionTestOperator(
+        nonDeterministicExpressions, allowNonDeterministicExpression = true)
+    assertAnalysisSuccess(tolerantPlan)
+
+    val intolerantPlan =
+      SupportsNonDeterministicExpressionTestOperator(
+        nonDeterministicExpressions, allowNonDeterministicExpression = false)
+    assertAnalysisError(
+      intolerantPlan,
+      "INVALID_NON_DETERMINISTIC_EXPRESSIONS" :: Nil
+    )
+  }
 }

From 596f680ea37c8fae77d2ba29d79cbc9339a04ca9 Mon Sep 17 00:00:00 2001
From: jackylee-ch <lijunqing@baidu.com>
Date: Fri, 12 Jul 2024 18:15:56 +0800
Subject: [PATCH 758/986] [SPARK-48845][SQL] GenericUDF catch exceptions from
 children

### What changes were proposed in this pull request?
This pr is trying to fix the syntax issues with GenericUDF since 3.5.0. The problem arose from DeferredObject currently passing a value instead of a function, which prevented users from catching exceptions in GenericUDF, resulting in semantic differences.

Here is an example case we encountered. Originally, the semantics were that udf_exception would throw an exception, while udf_catch_exception could catch the exception and return a null value. However, currently, any exception encountered by udf_exception will cause the program to fail.
```
select udf_catch_exception(udf_exception(col1)) from table
```

### Why are the changes needed?
For before Spark 3.5, we directly made the GenericUDF's DeferredObject lazy and evaluated the children in `function.evaluate(deferredObjects)`.
Now, we would run the children's code first. If an exception is thrown, we would make it lazy to GenericUDF's DeferredObject.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Newly added UT.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47268 from jackylee-ch/generic_udf_catch_exception_from_child_func.

Lead-authored-by: jackylee-ch <lijunqing@baidu.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 236d95738b6e50bc9ec54955e86d01b6dcf11c0e)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/hive/hiveUDFEvaluators.scala    | 12 +++--
 .../org/apache/spark/sql/hive/hiveUDFs.scala  | 22 +++++---
 .../sql/hive/execution/UDFCatchException.java | 51 +++++++++++++++++++
 .../sql/hive/execution/UDFThrowException.java | 26 ++++++++++
 .../sql/hive/execution/HiveUDFSuite.scala     | 23 +++++++++
 5 files changed, 124 insertions(+), 10 deletions(-)
 create mode 100644 sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFCatchException.java
 create mode 100644 sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFThrowException.java

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFEvaluators.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFEvaluators.scala
index 094f8ba7a0f89..fc1c795a1aa1c 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFEvaluators.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFEvaluators.scala
@@ -129,7 +129,11 @@ class HiveGenericUDFEvaluator(
   override def returnType: DataType = inspectorToDataType(returnInspector)
 
   def setArg(index: Int, arg: Any): Unit =
-    deferredObjects(index).asInstanceOf[DeferredObjectAdapter].set(arg)
+    deferredObjects(index).asInstanceOf[DeferredObjectAdapter].set(() => arg)
+
+  def setException(index: Int, exp: Throwable): Unit = {
+    deferredObjects(index).asInstanceOf[DeferredObjectAdapter].set(() => throw exp)
+  }
 
   override def doEvaluate(): Any = unwrapper(function.evaluate(deferredObjects))
 }
@@ -139,10 +143,10 @@ private[hive] class DeferredObjectAdapter(oi: ObjectInspector, dataType: DataTyp
   extends DeferredObject with HiveInspectors {
 
   private val wrapper = wrapperFor(oi, dataType)
-  private var func: Any = _
-  def set(func: Any): Unit = {
+  private var func: () => Any = _
+  def set(func: () => Any): Unit = {
     this.func = func
   }
   override def prepare(i: Int): Unit = {}
-  override def get(): AnyRef = wrapper(func).asInstanceOf[AnyRef]
+  override def get(): AnyRef = wrapper(func()).asInstanceOf[AnyRef]
 }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
index 01684f52ab82b..0c8305b3ccb24 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
@@ -136,7 +136,13 @@ private[hive] case class HiveGenericUDF(
 
   override def eval(input: InternalRow): Any = {
     children.zipWithIndex.foreach {
-      case (child, idx) => evaluator.setArg(idx, child.eval(input))
+      case (child, idx) =>
+        try {
+          evaluator.setArg(idx, child.eval(input))
+        } catch {
+          case t: Throwable =>
+            evaluator.setException(idx, t)
+        }
     }
     evaluator.evaluate()
   }
@@ -157,10 +163,15 @@ private[hive] case class HiveGenericUDF(
     val setValues = evals.zipWithIndex.map {
       case (eval, i) =>
         s"""
-           |if (${eval.isNull}) {
-           |  $refEvaluator.setArg($i, null);
-           |} else {
-           |  $refEvaluator.setArg($i, ${eval.value});
+           |try {
+           |  ${eval.code}
+           |  if (${eval.isNull}) {
+           |    $refEvaluator.setArg($i, null);
+           |  } else {
+           |    $refEvaluator.setArg($i, ${eval.value});
+           |  }
+           |} catch (Throwable t) {
+           |  $refEvaluator.setException($i, t);
            |}
            |""".stripMargin
     }
@@ -169,7 +180,6 @@ private[hive] case class HiveGenericUDF(
     val resultTerm = ctx.freshName("result")
     ev.copy(code =
       code"""
-         |${evals.map(_.code).mkString("\n")}
          |${setValues.mkString("\n")}
          |$resultType $resultTerm = ($resultType) $refEvaluator.evaluate();
          |boolean ${ev.isNull} = $resultTerm == null;
diff --git a/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFCatchException.java b/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFCatchException.java
new file mode 100644
index 0000000000000..242dbeaa63c94
--- /dev/null
+++ b/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFCatchException.java
@@ -0,0 +1,51 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hive.execution;
+
+import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
+
+public class UDFCatchException extends GenericUDF {
+
+  @Override
+  public ObjectInspector initialize(ObjectInspector[] args) throws UDFArgumentException {
+    if (args.length != 1) {
+      throw new UDFArgumentException("Exactly one argument is expected.");
+    }
+    return PrimitiveObjectInspectorFactory.javaStringObjectInspector;
+  }
+
+  @Override
+  public Object evaluate(GenericUDF.DeferredObject[] args) {
+    if (args == null) {
+      return null;
+    }
+    try {
+      return args[0].get();
+    } catch (Exception e) {
+      return null;
+    }
+  }
+
+  @Override
+  public String getDisplayString(String[] children) {
+    return null;
+  }
+}
diff --git a/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFThrowException.java b/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFThrowException.java
new file mode 100644
index 0000000000000..5d6ff6ca40ae5
--- /dev/null
+++ b/sql/hive/src/test/java/org/apache/spark/sql/hive/execution/UDFThrowException.java
@@ -0,0 +1,26 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hive.execution;
+
+import org.apache.hadoop.hive.ql.exec.UDF;
+
+public class UDFThrowException extends UDF {
+  public String evaluate(String data) {
+    return Integer.valueOf(data).toString();
+  }
+}
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
index d12ebae0f5fc7..f3be79f902294 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
@@ -35,6 +35,7 @@ import org.apache.hadoop.io.{LongWritable, Writable}
 
 import org.apache.spark.{SparkException, SparkFiles, TestUtils}
 import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
+import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
 import org.apache.spark.sql.catalyst.plans.logical.Project
 import org.apache.spark.sql.execution.WholeStageCodegenExec
 import org.apache.spark.sql.functions.{call_function, max}
@@ -791,6 +792,28 @@ class HiveUDFSuite extends QueryTest with TestHiveSingleton with SQLTestUtils {
       }
     }
   }
+
+  test("SPARK-48845: GenericUDF catch exceptions from child UDFs") {
+    withTable("test_catch_exception") {
+      withUserDefinedFunction("udf_throw_exception" -> true, "udf_catch_exception" -> true) {
+        Seq("9", "9-1").toDF("a").write.saveAsTable("test_catch_exception")
+        sql("CREATE TEMPORARY FUNCTION udf_throw_exception AS " +
+          s"'${classOf[UDFThrowException].getName}'")
+        sql("CREATE TEMPORARY FUNCTION udf_catch_exception AS " +
+          s"'${classOf[UDFCatchException].getName}'")
+        Seq(
+          CodegenObjectFactoryMode.FALLBACK.toString,
+          CodegenObjectFactoryMode.NO_CODEGEN.toString
+        ).foreach { codegenMode =>
+          withSQLConf(SQLConf.CODEGEN_FACTORY_MODE.key -> codegenMode) {
+            val df = sql(
+              "SELECT udf_catch_exception(udf_throw_exception(a)) FROM test_catch_exception")
+            checkAnswer(df, Seq(Row("9"), Row(null)))
+          }
+        }
+      }
+    }
+  }
 }
 
 class TestPair(x: Int, y: Int) extends Writable with Serializable {

From 56dec397e26d44e2b578ecea92be4c5e343c2a50 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Fri, 12 Jul 2024 19:08:24 +0900
Subject: [PATCH 759/986] [SPARK-48666][SQL] Do not push down filter if it
 contains PythonUDFs

This PR proposes to prevent pushing down Python UDFs. This PR uses the same approach as https://github.com/apache/spark/pull/47033, therefore added the author as a co-author, but simplifies the change.

Extracting filters to push down happens first

https://github.com/apache/spark/blob/cbe6846c477bc8b6d94385ddd0097c4e97b05d41/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala#L46

https://github.com/apache/spark/blob/cbe6846c477bc8b6d94385ddd0097c4e97b05d41/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L211

https://github.com/apache/spark/blob/cbe6846c477bc8b6d94385ddd0097c4e97b05d41/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala#L51

Before extracting Python UDFs

https://github.com/apache/spark/blob/cbe6846c477bc8b6d94385ddd0097c4e97b05d41/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkOptimizer.scala#L80

Here is full stacktrace:

```
[INTERNAL_ERROR] Cannot evaluate expression: pyUDF(cast(input[0, bigint, true] as string)) SQLSTATE: XX000
org.apache.spark.SparkException: [INTERNAL_ERROR] Cannot evaluate expression: pyUDF(cast(input[0, bigint, true] as string)) SQLSTATE: XX000
	at org.apache.spark.SparkException$.internalError(SparkException.scala:92)
	at org.apache.spark.SparkException$.internalError(SparkException.scala:96)
	at org.apache.spark.sql.errors.QueryExecutionErrors$.cannotEvaluateExpressionError(QueryExecutionErrors.scala:65)
	at org.apache.spark.sql.catalyst.expressions.FoldableUnevaluable.eval(Expression.scala:387)
	at org.apache.spark.sql.catalyst.expressions.FoldableUnevaluable.eval$(Expression.scala:386)
	at org.apache.spark.sql.catalyst.expressions.PythonUDF.eval(PythonUDF.scala:72)
	at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:563)
	at org.apache.spark.sql.catalyst.expressions.IsNotNull.eval(nullExpressions.scala:403)
	at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate.eval(predicates.scala:53)
	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.$anonfun$prunePartitionsByFilter$1(ExternalCatalogUtils.scala:189)
	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.$anonfun$prunePartitionsByFilter$1$adapted(ExternalCatalogUtils.scala:188)
	at scala.collection.immutable.List.filter(List.scala:516)
	at scala.collection.immutable.List.filter(List.scala:79)
	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.prunePartitionsByFilter(ExternalCatalogUtils.scala:188)
	at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.listPartitionsByFilter(InMemoryCatalog.scala:604)
	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.listPartitionsByFilter(ExternalCatalogWithListener.scala:262)
	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.listPartitionsByFilter(SessionCatalog.scala:1358)
	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.listPartitionsByFilter(ExternalCatalogUtils.scala:168)
	at org.apache.spark.sql.execution.datasources.CatalogFileIndex.filterPartitions(CatalogFileIndex.scala:74)
	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:72)
	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:50)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:470)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:470)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:330)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:326)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:475)
	at org.apache.spark.sql.catalyst.trees.BinaryLike.mapChildren(TreeNode.scala:1251)
	at org.apache.spark.sql.catalyst.trees.BinaryLike.mapChildren$(TreeNode.scala:1250)
	at org.apache.spark.sql.catalyst.plans.logical.Join.mapChildren(basicLogicalOperators.scala:552)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:475)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:330)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:326)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:37)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:446)
	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:50)
	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:35)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:226)
	at scala.collection.LinearSeqOps.foldLeft(LinearSeq.scala:183)
	at scala.collection.LinearSeqOps.foldLeft$(LinearSeq.scala:179)
	at scala.collection.immutable.List.foldLeft(List.scala:79)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:223)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:215)
	at scala.collection.immutable.List.foreach(List.scala:334)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:215)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:186)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:89)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:186)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:167)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:138)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:234)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:608)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:234)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:923)
	at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:233)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:163)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:159)
	at org.apache.spark.sql.execution.python.PythonUDFSuite.$anonfun$new$19(PythonUDFSuite.scala:136)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:99)
	at org.apache.spark.sql.test.SQLTestUtilsBase.withTable(SQLTestUtils.scala:307)
	at org.apache.spark.sql.test.SQLTestUtilsBase.withTable$(SQLTestUtils.scala:305)
	at org.apache.spark.sql.execution.python.PythonUDFSuite.withTable(PythonUDFSuite.scala:25)
	at org.apache.spark.sql.execution.python.PythonUDFSuite.$anonfun$new$18(PythonUDFSuite.scala:130)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
	at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
	at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
	at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
	at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
	at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
	at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
	at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
	at org.scalatest.Transformer.apply(Transformer.scala:22)
	at org.scalatest.Transformer.apply(Transformer.scala:20)
	at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
	at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
	at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
	at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
	at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
	at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
	at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
	at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
	at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
	at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
	at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:69)
	at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
	at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
	at scala.collection.immutable.List.foreach(List.scala:334)
	at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
	at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
	at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
	at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
	at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
	at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
	at org.scalatest.Suite.run(Suite.scala:1114)
	at org.scalatest.Suite.run$(Suite.scala:1096)
	at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
	at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
	at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
	at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
	at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
	at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
	at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
	at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
	at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
	at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:69)
	at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:47)
	at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1321)
	at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1315)
	at scala.collection.immutable.List.foreach(List.scala:334)
	at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1315)
	at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:992)
	at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:970)
	at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1481)
	at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:970)
	at org.scalatest.tools.Runner$.run(Runner.scala:798)
	at org.scalatest.tools.Runner.run(Runner.scala)
	at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2or3(ScalaTestRunner.java:43)
	at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:26)
```

In order for end users to use Python UDFs against partitioned columns.

Yes, this fixes a bug - this PR allows to use Python UDF in partitioned columns.

Unittest added.

No.

Closes #47033

Closes #47313 from HyukjinKwon/SPARK-48666.

Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Wei Zheng <weiz@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit d74785359c50bf966cfe892d3a9eae1a06341db2)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../datasources/PruneFileSourcePartitions.scala  |  7 ++++++-
 .../datasources/v2/FileScanBuilder.scala         |  7 +++++--
 .../sql/execution/python/PythonUDFSuite.scala    | 16 ++++++++++++++--
 .../execution/PruneHiveTablePartitions.scala     |  9 +++++++--
 4 files changed, 32 insertions(+), 7 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala
index 1dffea4e1bc87..d5923a577daac 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala
@@ -63,7 +63,12 @@ private[sql] object PruneFileSourcePartitions extends Rule[LogicalPlan] {
             _))
         if filters.nonEmpty && fsRelation.partitionSchema.nonEmpty =>
       val normalizedFilters = DataSourceStrategy.normalizeExprs(
-        filters.filter(f => f.deterministic && !SubqueryExpression.hasSubquery(f)),
+        filters.filter { f =>
+          f.deterministic &&
+            !SubqueryExpression.hasSubquery(f) &&
+            // Python UDFs might exist because this rule is applied before ``ExtractPythonUDFs``.
+            !f.exists(_.isInstanceOf[PythonUDF])
+        },
         logicalRelation.output)
       val (partitionKeyFilters, _) = DataSourceUtils
         .getPartitionFiltersAndDataFilters(partitionSchema, normalizedFilters)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScanBuilder.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScanBuilder.scala
index 447a36fe622c9..7e0bc25a9a1e1 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScanBuilder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScanBuilder.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.execution.datasources.v2
 import scala.collection.mutable
 
 import org.apache.spark.sql.{sources, SparkSession}
-import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.catalyst.expressions.{Expression, PythonUDF, SubqueryExpression}
 import org.apache.spark.sql.connector.expressions.filter.Predicate
 import org.apache.spark.sql.connector.read.{ScanBuilder, SupportsPushDownRequiredColumns}
 import org.apache.spark.sql.execution.datasources.{DataSourceStrategy, DataSourceUtils, PartitioningAwareFileIndex, PartitioningUtils}
@@ -73,7 +73,10 @@ abstract class FileScanBuilder(
     val (deterministicFilters, nonDeterminsticFilters) = filters.partition(_.deterministic)
     val (partitionFilters, dataFilters) =
       DataSourceUtils.getPartitionFiltersAndDataFilters(partitionSchema, deterministicFilters)
-    this.partitionFilters = partitionFilters
+    this.partitionFilters = partitionFilters.filter { f =>
+      // Python UDFs might exist because this rule is applied before ``ExtractPythonUDFs``.
+      !SubqueryExpression.hasSubquery(f) && !f.exists(_.isInstanceOf[PythonUDF])
+    }
     this.dataFilters = dataFilters
     val translatedFilters = mutable.ArrayBuffer.empty[sources.Filter]
     for (filterExpr <- dataFilters) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDFSuite.scala
index d86faec1a7bbd..9a168dc80a03a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDFSuite.scala
@@ -17,8 +17,8 @@
 
 package org.apache.spark.sql.execution.python
 
-import org.apache.spark.sql.{IntegratedUDFTestUtils, QueryTest}
-import org.apache.spark.sql.functions.count
+import org.apache.spark.sql.{IntegratedUDFTestUtils, QueryTest, Row}
+import org.apache.spark.sql.functions.{col, count}
 import org.apache.spark.sql.test.SharedSparkSession
 
 class PythonUDFSuite extends QueryTest with SharedSparkSession {
@@ -111,4 +111,16 @@ class PythonUDFSuite extends QueryTest with SharedSparkSession {
     val pandasTestUDF = TestGroupedAggPandasUDF(name = udfName)
     assert(df.agg(pandasTestUDF(df("id"))).schema.fieldNames.exists(_.startsWith(udfName)))
   }
+
+  test("SPARK-48666: Python UDF execution against partitioned column") {
+    assume(shouldTestPythonUDFs)
+    withTable("t") {
+      spark.range(1).selectExpr("id AS t", "(id + 1) AS p").write.partitionBy("p").saveAsTable("t")
+      val table = spark.table("t")
+      val newTable = table.withColumn("new_column", pythonTestUDF(table("p")))
+      val df = newTable.as("t1").join(
+        newTable.as("t2"), col("t1.new_column") === col("t2.new_column"))
+      checkAnswer(df, Row(0, 1, 1, 0, 1, 1))
+    }
+  }
 }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitions.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitions.scala
index 395ee86579e57..779562bed5b0f 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitions.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitions.scala
@@ -22,7 +22,7 @@ import org.apache.hadoop.hive.common.StatsSetupConst
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.catalyst.analysis.CastSupport
 import org.apache.spark.sql.catalyst.catalog._
-import org.apache.spark.sql.catalyst.expressions.{And, AttributeSet, Expression, ExpressionSet, PredicateHelper, SubqueryExpression}
+import org.apache.spark.sql.catalyst.expressions.{And, AttributeSet, Expression, ExpressionSet, PredicateHelper, PythonUDF, SubqueryExpression}
 import org.apache.spark.sql.catalyst.planning.PhysicalOperation
 import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.plans.logical.statsEstimation.FilterEstimation
@@ -50,7 +50,12 @@ private[sql] class PruneHiveTablePartitions(session: SparkSession)
       filters: Seq[Expression],
       relation: HiveTableRelation): ExpressionSet = {
     val normalizedFilters = DataSourceStrategy.normalizeExprs(
-      filters.filter(f => f.deterministic && !SubqueryExpression.hasSubquery(f)), relation.output)
+      filters.filter { f =>
+        f.deterministic &&
+          !SubqueryExpression.hasSubquery(f) &&
+          // Python UDFs might exist because this rule is applied before ``ExtractPythonUDFs``.
+          !f.exists(_.isInstanceOf[PythonUDF])
+      }, relation.output)
     val partitionColumnSet = AttributeSet(relation.partitionCols)
     ExpressionSet(
       normalizedFilters.flatMap(extractPredicatesWithinOutputSet(_, partitionColumnSet)))

From 4d1bbfd0c40ec89ef99ae58912b71dcbd764f348 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 16 Jul 2024 10:13:44 +0800
Subject: [PATCH 760/986] [SPARK-47172][DOCS][FOLLOWUP] Fix
 spark.network.crypto.ciphersince version field on security page

### What changes were proposed in this pull request?

Given that SPARK-47172 was an improvement but got merged into 3.4/3.5, we need to fix the since version to eliminate misunderstandings.

### Why are the changes needed?

doc fix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

doc build

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #47353 from yaooqinn/SPARK-47172.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit d8820a07eb82acd35a1c9d4ff6ee4f65fc6aac29)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/security.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/security.md b/docs/security.md
index a9065a225017e..10201e6ed5406 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -182,7 +182,7 @@ The following table describes the different options available for configuring th
     Cipher mode to use. Defaults "AES/CTR/NoPadding" for backward compatibility, which is not authenticated. 
     Recommended to use "AES/GCM/NoPadding", which is an authenticated encryption mode.
   </td>
-  <td>4.0.0</td>
+  <td>4.0.0, 3.5.2, 3.4.4</td>
 </tr>
 <tr>
   <td><code>spark.network.crypto.authEngineVersion</code></td>

From f1f5bb6ee40b655e334e90c0f81042c632601d41 Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Tue, 16 Jul 2024 10:35:27 +0800
Subject: [PATCH 761/986] [SPARK-47307][SQL][3.5] Add a config to optionally
 chunk base64 strings

Backports #47303 to 3.5

### What changes were proposed in this pull request?

[[SPARK-47307](https://issues.apache.org/jira/browse/SPARK-47307)] Add a config to optionally chunk base64 strings

### Why are the changes needed?

In #35110, it was incorrectly asserted that:

> ApacheCommonBase64 obeys http://www.ietf.org/rfc/rfc2045.txt

This is not true as the previous code called:

```java
public static byte[] encodeBase64(byte[] binaryData)
```

Which states:

> Encodes binary data using the base64 algorithm but does not chunk the output.

However, the RFC 2045 (MIME) base64 encoder does chunk by default. This now means that any Spark encoded base64 strings cannot be decoded by encoders that do not implement RFC 2045. The docs state RFC 4648.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing test suite.

### Was this patch authored or co-authored using generative AI tooling?

 No

Closes #47325 from wForget/SPARK-47307_3.5.

Lead-authored-by: wforget <643348094@qq.com>
Co-authored-by: Ted Jenks <tedcj@palantir.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../explain-results/function_base64.explain   |  2 +-
 .../expressions/stringExpressions.scala       | 40 +++++++++++++------
 .../apache/spark/sql/internal/SQLConf.scala   | 11 +++++
 .../expressions/ExpressionEvalHelper.scala    |  7 +++-
 .../expressions/StringExpressionsSuite.scala  | 13 ++++++
 5 files changed, 59 insertions(+), 14 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
index bc3c6e4bb2bcf..99d842189c659 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
@@ -1,2 +1,2 @@
-Project [base64(cast(g#0 as binary)) AS base64(g)#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.Base64, StringType, encode, cast(g#0 as binary), false, BinaryType, BooleanType, true, true, true) AS base64(g)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
index 46f8e1a9d673d..98a3b71a28627 100755
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
@@ -2419,24 +2419,40 @@ case class Chr(child: Expression)
   """,
   since = "1.5.0",
   group = "string_funcs")
-case class Base64(child: Expression)
-  extends UnaryExpression with ImplicitCastInputTypes with NullIntolerant {
+case class Base64(child: Expression, chunkBase64: Boolean)
+  extends UnaryExpression with RuntimeReplaceable with ImplicitCastInputTypes {
+
+  def this(expr: Expression) = this(expr, SQLConf.get.chunkBase64StringEnabled)
 
   override def dataType: DataType = StringType
   override def inputTypes: Seq[DataType] = Seq(BinaryType)
 
-  protected override def nullSafeEval(bytes: Any): Any = {
-    UTF8String.fromBytes(JBase64.getMimeEncoder.encode(bytes.asInstanceOf[Array[Byte]]))
-  }
+  override def replacement: Expression = StaticInvoke(
+    classOf[Base64],
+    dataType,
+    "encode",
+    Seq(child, Literal(chunkBase64, BooleanType)),
+    Seq(BinaryType, BooleanType))
 
-  override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
-    nullSafeCodeGen(ctx, ev, (child) => {
-      s"""${ev.value} = UTF8String.fromBytes(
-            ${classOf[JBase64].getName}.getMimeEncoder().encode($child));
-       """})
-  }
+  override def toString: String = s"$prettyName($child)"
 
-  override protected def withNewChildInternal(newChild: Expression): Base64 = copy(child = newChild)
+  override protected def withNewChildInternal(newChild: Expression): Expression =
+    copy(child = newChild)
+}
+
+object Base64 {
+  def apply(expr: Expression): Base64 = new Base64(expr)
+
+  private lazy val nonChunkEncoder = JBase64.getMimeEncoder(-1, Array())
+
+  def encode(input: Array[Byte], chunkBase64: Boolean): UTF8String = {
+    val encoder = if (chunkBase64) {
+      JBase64.getMimeEncoder
+    } else {
+      nonChunkEncoder
+    }
+    UTF8String.fromBytes(encoder.encode(input))
+  }
 }
 
 /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 275ec71cb0615..55f80645228db 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3229,6 +3229,15 @@ object SQLConf {
     .booleanConf
     .createWithDefault(false)
 
+  val CHUNK_BASE64_STRING_ENABLED = buildConf("spark.sql.legacy.chunkBase64String.enabled")
+    .internal()
+    .doc("Whether to truncate string generated by the `Base64` function. When true, base64" +
+      " strings generated by the base64 function are chunked into lines of at most 76" +
+      " characters. When false, the base64 strings are not chunked.")
+    .version("3.5.2")
+    .booleanConf
+    .createWithDefault(false)
+
   val ENABLE_DEFAULT_COLUMNS =
     buildConf("spark.sql.defaultColumn.enabled")
       .internal()
@@ -5111,6 +5120,8 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
 
   def ansiRelationPrecedence: Boolean = ansiEnabled && getConf(ANSI_RELATION_PRECEDENCE)
 
+  def chunkBase64StringEnabled: Boolean = getConf(CHUNK_BASE64_STRING_ENABLED)
+
   def timestampType: AtomicType = getConf(TIMESTAMP_TYPE) match {
     case "TIMESTAMP_LTZ" =>
       // For historical reason, the TimestampType maps to TIMESTAMP WITH LOCAL TIME ZONE
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
index 5be0cae4a22f1..84520846a8d48 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
@@ -71,10 +71,15 @@ trait ExpressionEvalHelper extends ScalaCheckDrivenPropertyChecks with PlanTestB
     new ArrayBasedMapData(keyArray, valueArray)
   }
 
+  protected def replace(expr: Expression): Expression = expr match {
+    case r: RuntimeReplaceable => replace(r.replacement)
+    case _ => expr.mapChildren(replace)
+  }
+
   private def prepareEvaluation(expression: Expression): Expression = {
     val serializer = new JavaSerializer(new SparkConf()).newInstance
     val resolver = ResolveTimeZone
-    val expr = resolver.resolveTimeZones(expression)
+    val expr = resolver.resolveTimeZones(replace(expression))
     assert(expr.resolved)
     serializer.deserialize(serializer.serialize(expr))
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
index 006c4a7805688..75224bf33f53e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
@@ -506,6 +506,19 @@ class StringExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     GenerateUnsafeProjection.generate(StringDecode(b, Literal("\"quote")) :: Nil)
   }
 
+  test("SPARK-47307: base64 encoding without chunking") {
+    val longString = "a" * 58
+    val encoded = "YWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYQ=="
+    withSQLConf(SQLConf.CHUNK_BASE64_STRING_ENABLED.key -> "false") {
+      checkEvaluation(Base64(Literal(longString.getBytes)), encoded)
+    }
+    val chunkEncoded =
+      s"YWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFh\r\nYQ=="
+    withSQLConf(SQLConf.CHUNK_BASE64_STRING_ENABLED.key -> "true") {
+      checkEvaluation(Base64(Literal(longString.getBytes)), chunkEncoded)
+    }
+  }
+
   test("initcap unit test") {
     checkEvaluation(InitCap(Literal.create(null, StringType)), null)
     checkEvaluation(InitCap(Literal("a b")), "A B")

From 033f6a30189f4568c0bf25a20b8694f3291ea519 Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Tue, 16 Jul 2024 19:36:50 -0700
Subject: [PATCH 762/986] [SPARK-47307][DOCS][FOLLOWUP] Add a migration guide
 for the behavior change of base64 function

<!--
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  1. If this is your first time, please read our contributor guidelines: https://spark.apache.org/contributing.html
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  7. If you want to add a new configuration, please read the guideline first for naming configurations in
     'core/src/main/scala/org/apache/spark/internal/config/ConfigEntry.scala'.
  8. If you want to add or modify an error type or message, please read the guideline first in
     'common/utils/src/main/resources/error/README.md'.
-->

### What changes were proposed in this pull request?

Follow up to #47303

Add a migration guide for the behavior change of `base64` function

### Why are the changes needed?
<!--
Please clarify why the changes are needed. For instance,
  1. If you propose a new API, clarify the use case for a new API.
  2. If you fix a bug, you can clarify why it is a bug.
-->

### Does this PR introduce _any_ user-facing change?
<!--
Note that it means *any* user-facing change including all aspects such as the documentation fix.
If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description and/or an example to show the behavior difference if possible.
If possible, please also clarify if this is a user-facing change compared to the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
-->
No

### How was this patch tested?
<!--
If tests were added, say they were added here. Please make sure to add some test cases that check the changes thoroughly including negative and positive cases if possible.
If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future.
If tests were not added, please describe why they were not added and/or why it was difficult to add.
If benchmark tests were added, please run the benchmarks in GitHub Actions for the consistent environment, and the instructions could accord to: https://spark.apache.org/developer-tools.html#github-workflow-benchmarks.
-->
doc change

### Was this patch authored or co-authored using generative AI tooling?
<!--
If generative AI tooling has been used in the process of authoring this patch, please include the
phrase: 'Generated-by: ' followed by the name of the tool and its version.
If no, write 'No'.
Please refer to the [ASF Generative Tooling Guidance](https://www.apache.org/legal/generative-tooling.html) for details.
-->
No

Closes #47371 from wForget/SPARK-47307_doc.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: allisonwang-db <allison.wang@databricks.com>
(cherry picked from commit b2e0a4dfb8d265635ef6199d24be8fa036d25786)
Signed-off-by: allisonwang-db <allison.wang@databricks.com>
---
 docs/sql-migration-guide.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 964f7de637e8b..a9b9765e87fe2 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -25,6 +25,7 @@ license: |
 ## Upgrading from Spark SQL 3.5.1 to 3.5.2
 
 - Since 3.5.2, MySQL JDBC datasource will read TINYINT UNSIGNED as ShortType, while in 3.5.1, it was wrongly read as ByteType.
+- Since 3.5.2, the `base64` function will return a non-chunked string. To restore the behavior of chunking base64 encoded strings into lines of at most 76 characters, set `spark.sql.legacy.chunkBase64String.enabled` to `true`.
 
 ## Upgrading from Spark SQL 3.5.0 to 3.5.1
 

From ef1f377a39381557172a142cdca915f5cad1be51 Mon Sep 17 00:00:00 2001
From: Siying Dong <siying.dong@databricks.com>
Date: Wed, 17 Jul 2024 12:26:59 +0900
Subject: [PATCH 763/986] [SPARK-48889][SS] testStream to unload state stores
 before finishing

### What changes were proposed in this pull request?
In the end of each testStream() call, unload all state stores from the executor

### Why are the changes needed?
Currently, after a test, we don't unload state store or disable maintenance task. So after a test, the maintenance task can run and fail as the checkpoint directory is already deleted. This might cause an issue and fail the next test.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
See existing tests to pass

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47339 from siying/SPARK-48889.

Authored-by: Siying Dong <siying.dong@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 3a245558be882ae94f507976e4e4fb8c1d9bf344)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../scala/org/apache/spark/sql/streaming/StreamTest.scala  | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
index cb7995abcd092..69e404a473834 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala
@@ -809,6 +809,13 @@ trait StreamTest extends QueryTest with SharedSparkSession with TimeLimits with
         case (key, None) => sparkSession.conf.unset(key)
       }
       sparkSession.streams.removeListener(listener)
+      // The state store is stopped here to unload all state stores and terminate all maintenance
+      // threads. It is necessary because the temp directory used by the checkpoint directory
+      // may be deleted soon after, and the maintenance thread may see unexpected error and
+      // cause unexpected behavior. Doing it after a test finishes might be too late because
+      // sometimes the checkpoint directory is under `withTempDir`, and in this case the temp
+      // directory is deleted before the test finishes.
+      StateStore.stop()
     }
   }
 

From 443825a60e0bae3c4a565122efd1d4ca1a3f2a55 Mon Sep 17 00:00:00 2001
From: William Hyun <william@apache.org>
Date: Tue, 16 Jul 2024 21:08:24 -0700
Subject: [PATCH 764/986] [SPARK-48920][BUILD][3.5] Upgrade ORC to 1.9.4

### What changes were proposed in this pull request?
This PR aims to upgrade ORC to 1.9.4 for Apache Spark 3.5.2.

### Why are the changes needed?
This is the latest version of ORC 1.9.x.
- https://orc.apache.org/news/2024/07/16/ORC-1.9.4/
- https://github.com/apache/orc/releases/tag/v1.9.4

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47379 from williamhyun/orc194.

Authored-by: William Hyun <william@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 6 +++---
 pom.xml                               | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 6f8054ae900b3..0ea9d120f0808 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -212,9 +212,9 @@ opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
 opentracing-util/0.33.0//opentracing-util-0.33.0.jar
-orc-core/1.9.3/shaded-protobuf/orc-core-1.9.3-shaded-protobuf.jar
-orc-mapreduce/1.9.3/shaded-protobuf/orc-mapreduce-1.9.3-shaded-protobuf.jar
-orc-shims/1.9.3//orc-shims-1.9.3.jar
+orc-core/1.9.4/shaded-protobuf/orc-core-1.9.4-shaded-protobuf.jar
+orc-mapreduce/1.9.4/shaded-protobuf/orc-mapreduce-1.9.4-shaded-protobuf.jar
+orc-shims/1.9.4//orc-shims-1.9.4.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
diff --git a/pom.xml b/pom.xml
index f1a7a1618073a..e2af66989c8df 100644
--- a/pom.xml
+++ b/pom.xml
@@ -141,7 +141,7 @@
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
     <parquet.version>1.13.1</parquet.version>
-    <orc.version>1.9.3</orc.version>
+    <orc.version>1.9.4</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.54.v20240208</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

From 44f8766f77597c68a5ba5a6300bbc507f57290b4 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 17 Jul 2024 15:57:03 -0700
Subject: [PATCH 765/986] [SPARK-48930][CORE] Redact `awsAccessKeyId` by
 including `accesskey` pattern

### What changes were proposed in this pull request?

This PR aims to redact `awsAccessKeyId` by including `accesskey` pattern.

- **Apache Spark 4.0.0-preview1**
There is no point to redact `fs.s3a.access.key` because the same value is exposed via `fs.s3.awsAccessKeyId` like the following. We need to redact all.

```
$ AWS_ACCESS_KEY_ID=A AWS_SECRET_ACCESS_KEY=B bin/spark-shell
```

![Screenshot 2024-07-17 at 12 45 44](https://github.com/user-attachments/assets/e3040c5d-3eb9-4944-a6d6-5179b7647426)

### Why are the changes needed?

Since Apache Spark 1.1.0, `AWS_ACCESS_KEY_ID` is propagated like the following. However, Apache Spark does not redact them all consistently.
- #450

https://github.com/apache/spark/blob/5d16c3134c442a5546251fd7c42b1da9fdf3969e/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala#L481-L486

### Does this PR introduce _any_ user-facing change?

Users may see more redactions on configurations whose name contains `accesskey` case-insensitively. However, those configurations are highly likely to be related to the credentials.

### How was this patch tested?

Pass the CIs with the newly added test cases.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47392 from dongjoon-hyun/SPARK-48930.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 1e17c392b4def939d04e556084e7b48cca86412b)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../main/scala/org/apache/spark/internal/config/package.scala   | 2 +-
 core/src/test/scala/org/apache/spark/util/UtilsSuite.scala      | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index c5e23cae1f847..938d6ec2e01b0 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -1155,7 +1155,7 @@ package object config {
         "like YARN and event logs.")
       .version("2.1.2")
       .regexConf
-      .createWithDefault("(?i)secret|password|token|access[.]key".r)
+      .createWithDefault("(?i)secret|password|token|access[.]?key".r)
 
   private[spark] val STRING_REDACTION_PATTERN =
     ConfigBuilder("spark.redaction.string.regex")
diff --git a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 7923e81949db6..1a7bfc64c23c7 100644
--- a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -1093,6 +1093,7 @@ class UtilsSuite extends SparkFunSuite with ResetSystemProperties {
     // Set some secret keys
     val secretKeys = Seq(
       "spark.executorEnv.HADOOP_CREDSTORE_PASSWORD",
+      "spark.hadoop.fs.s3.awsAccessKeyId",
       "spark.hadoop.fs.s3a.access.key",
       "spark.my.password",
       "spark.my.sECreT")

From b1510127df952af90b7971684b91f6c0e804de24 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 18 Jul 2024 04:20:46 +0000
Subject: [PATCH 766/986] Preparing Spark release v3.5.2-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 2 +-
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index 21330058f77dc..da05ae8eba11d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 9df20f8facf5c..e7e172fa7a136 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 27a53b0f9f3bd..80f09efb00486 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 93410815e6c05..33769c5c718b4 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index a99b8b96402a6..dfa0da4bd1d2a 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 98bc41807a3b7..101730cf66734 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 69cf167704742..158a5a14cac07 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 92d0a7e0b55f1..9b918826c7b45 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 6f7419316c6f4..f6d8ceb426739 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index c8fc16cac01a3..de4196fc73277 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 6febc5ee6bd64..4aa353992d5c9 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 3c07b63c50a53..669de24b8c131 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 804ff2ff15a15..d02193fc28bd8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 053c14d1d35c8..f5132e5c8ae69 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index a06ae2ba9ea94..97de1b9f47936 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 29c5fb056b39f..ce6646241db40 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index f96ad6f8efb85..197a3b3df5848 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index fa950e028e95b..4f7c4e80466f6 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 4dda8b4833423..33b412061e359 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index c8607c3a1ae96..2ab75e151c988 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 5152fb19f761e..9526226882e70 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index c51636093f2ef..221dc8d9961c0 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d5a46afdf17ae..688b4d11c8814 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 472bd73db0d3c..03c391eaad7d9 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2-SNAPSHOT
+SPARK_VERSION: 3.5.2
 SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
diff --git a/examples/pom.xml b/examples/pom.xml
index bf1e79eea3bc3..3b7b63dd68da0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index f55a607de2216..cacb8684e99e6 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index e6c704d74460a..5a4130b8f218f 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 0833607007cb2..c9b3bbc284272 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 356d4c99c6720..2d0425dabf847 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 879354a6bce64..39b977c60635b 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index e2af66989c8df..1739a9a051aba 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2-SNAPSHOT</version>
+  <version>3.5.2</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 20ee673c93364..6756acf033661 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2.dev0"
+__version__: str = "3.5.2"
diff --git a/repl/pom.xml b/repl/pom.xml
index f1769b2eff14c..338a9779e9207 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 5a46f78a60b8a..1cb35dd8ef7f6 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 58e4bb92f4409..74c0753867071 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index a62a3a6505e3f..da43510900d74 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 05cea60346667..862acd8affb8d 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index e6269f9654fb0..1011a6239c2fd 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 6833f203b3fad..aa6bc4add957c 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19826701fc137..2a1f09ed75e7f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 518e280ad2499..8cf30e4e19170 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index bf5e8676ec158..494fa6522ee43 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6d3f98bdd2674..72abd933503fc 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index d49f2b94cae78..dfb594060e345 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From d556740b13b598639bdbc2f00ea7af9a21831134 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 18 Jul 2024 04:20:51 +0000
Subject: [PATCH 767/986] Preparing development version 3.5.3-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index da05ae8eba11d..ed09ea1725da5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index e7e172fa7a136..12b57da00234a 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 80f09efb00486..e6e0a2660b45d 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 33769c5c718b4..c39d849494e9c 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index dfa0da4bd1d2a..1c0173d35139c 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 101730cf66734..58ec4e57e5158 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 158a5a14cac07..5512ed8012ae2 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 9b918826c7b45..159064b0444c9 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index f6d8ceb426739..d31f3ea7b1ac1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index de4196fc73277..b15c6dd36ba74 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4aa353992d5c9..317e663af153f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 669de24b8c131..6f3d683d9cb12 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index d02193fc28bd8..60c807b169699 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index f5132e5c8ae69..81c0826bdd189 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 97de1b9f47936..f16f47db18876 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index ce6646241db40..8348a32b2e238 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 197a3b3df5848..8db62e2020e35 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 4f7c4e80466f6..1d076d4d62f10 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 33b412061e359..c5ba0abd803d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 2ab75e151c988..3ba3ce45a726d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9526226882e70..a6cc9248f17a6 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 221dc8d9961c0..034f45fc2af88 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 688b4d11c8814..a3a02cbd1c565 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 03c391eaad7d9..b7abf37080d8d 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 3b7b63dd68da0..6648ec2cc7cb1 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index cacb8684e99e6..22a8b916c4b14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 5a4130b8f218f..fca45d2df0c35 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index c9b3bbc284272..75c85d66a935a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 2d0425dabf847..9ef674c93081f 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 39b977c60635b..f6640e4705964 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 1739a9a051aba..be910d24193df 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2</version>
+  <version>3.5.3-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 6756acf033661..c779e9442f6b3 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2"
+__version__: str = "3.5.3.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 338a9779e9207..e8c2436f109c3 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 1cb35dd8ef7f6..e1ad633dff2ff 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 74c0753867071..91fc5a94fa747 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index da43510900d74..d5d0c0125fce9 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 862acd8affb8d..2d6f7f87247c4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1011a6239c2fd..818cb24cac80a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index aa6bc4add957c..89cc3b9560a76 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2a1f09ed75e7f..199597a36349d 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 8cf30e4e19170..1e4ad6f456371 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 494fa6522ee43..ea65b59390c83 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 72abd933503fc..6601c459741f0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index dfb594060e345..3f7721c9bcff5 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From f07a54743c574bf703b406d0deba0b6e21a54273 Mon Sep 17 00:00:00 2001
From: Yi Wu <yi.wu@databricks.com>
Date: Thu, 18 Jul 2024 15:37:20 +0800
Subject: [PATCH 768/986] [SPARK-48791][CORE][3.5] Fix perf regression caused
 by the accumulators registration overhead using CopyOnWriteArrayList

This PR backports https://github.com/apache/spark/pull/47197 to branch-3.5.

### What changes were proposed in this pull request?

This PR proposes to use the `ArrayBuffer` together with the read/write lock rather than `CopyOnWriteArrayList` for `TaskMetrics._externalAccums`.

### Why are the changes needed?

Fix the perf regression that caused by the accumulators registration overhead using `CopyOnWriteArrayList`.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manually tested.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47297 from Ngone51/SPARK-48791-3.5.

Authored-by: Yi Wu <yi.wu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 core/pom.xml                                  |  4 ++
 .../apache/spark/util/ArrayImplicits.scala    | 35 +++++++++++++++
 .../apache/spark/util/ArrayImplicits.scala    | 35 +++++++++++++++
 .../apache/spark/executor/TaskMetrics.scala   | 43 ++++++++++++++-----
 mllib-local/pom.xml                           | 12 ++++++
 mllib/pom.xml                                 | 10 +++++
 pom.xml                                       |  6 +++
 7 files changed, 135 insertions(+), 10 deletions(-)
 create mode 100644 core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala
 create mode 100644 core/src/main/scala-2.13/org/apache/spark/util/ArrayImplicits.scala

diff --git a/core/pom.xml b/core/pom.xml
index a3a02cbd1c565..a326e41b8e233 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -243,6 +243,10 @@
       <groupId>org.scala-lang.modules</groupId>
       <artifactId>scala-xml_${scala.binary.version}</artifactId>
     </dependency>
+    <dependency>
+      <groupId>org.scala-lang.modules</groupId>
+      <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+    </dependency>
     <dependency>
       <groupId>org.scala-lang</groupId>
       <artifactId>scala-library</artifactId>
diff --git a/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala b/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala
new file mode 100644
index 0000000000000..82c6c75bd51a9
--- /dev/null
+++ b/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.util
+
+import scala.collection.compat.immutable
+
+/**
+ * Implicit methods related to Scala Array.
+ */
+private[spark] object ArrayImplicits {
+
+  implicit class SparkArrayOps[T](xs: Array[T]) {
+
+    /**
+     * Wraps an Array[T] as an immutable.ArraySeq[T] without copying.
+     */
+    def toImmutableArraySeq: immutable.ArraySeq[T] =
+      immutable.ArraySeq.unsafeWrapArray(xs)
+  }
+}
diff --git a/core/src/main/scala-2.13/org/apache/spark/util/ArrayImplicits.scala b/core/src/main/scala-2.13/org/apache/spark/util/ArrayImplicits.scala
new file mode 100644
index 0000000000000..38c2a415af3db
--- /dev/null
+++ b/core/src/main/scala-2.13/org/apache/spark/util/ArrayImplicits.scala
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.util
+
+import scala.collection.immutable
+
+/**
+ * Implicit methods related to Scala Array.
+ */
+private[spark] object ArrayImplicits {
+
+  implicit class SparkArrayOps[T](xs: Array[T]) {
+
+    /**
+     * Wraps an Array[T] as an immutable.ArraySeq[T] without copying.
+     */
+    def toImmutableArraySeq: immutable.ArraySeq[T] =
+      immutable.ArraySeq.unsafeWrapArray(xs)
+  }
+}
diff --git a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
index d446104cb6421..468969b8d3322 100644
--- a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
+++ b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.executor
 
-import java.util.concurrent.CopyOnWriteArrayList
+import java.util.concurrent.locks.ReentrantReadWriteLock
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable.{ArrayBuffer, LinkedHashMap}
@@ -29,6 +29,7 @@ import org.apache.spark.internal.config.Tests.IS_TESTING
 import org.apache.spark.scheduler.AccumulableInfo
 import org.apache.spark.storage.{BlockId, BlockStatus}
 import org.apache.spark.util._
+import org.apache.spark.util.ArrayImplicits._
 
 
 /**
@@ -150,6 +151,11 @@ class TaskMetrics private[spark] () extends Serializable {
   private[spark] def setUpdatedBlockStatuses(v: Seq[(BlockId, BlockStatus)]): Unit =
     _updatedBlockStatuses.setValue(v.asJava)
 
+  private val (readLock, writeLock) = {
+    val lock = new ReentrantReadWriteLock()
+    (lock.readLock(), lock.writeLock())
+  }
+
   /**
    * Metrics related to reading data from a [[org.apache.spark.rdd.HadoopRDD]] or from persisted
    * data, defined only in tasks with input.
@@ -264,12 +270,32 @@ class TaskMetrics private[spark] () extends Serializable {
   /**
    * External accumulators registered with this task.
    */
-  @transient private[spark] lazy val _externalAccums = new CopyOnWriteArrayList[AccumulatorV2[_, _]]
+  @transient private[spark] lazy val _externalAccums = new ArrayBuffer[AccumulatorV2[_, _]]
 
-  private[spark] def externalAccums = _externalAccums.asScala
+  private[spark] def externalAccums: Seq[AccumulatorV2[_, _]] = withReadLock {
+    _externalAccums.toArray.toImmutableArraySeq
+  }
+
+  private def withReadLock[B](fn: => B): B = {
+    readLock.lock()
+    try {
+      fn
+    } finally {
+      readLock.unlock()
+    }
+  }
+
+  private def withWriteLock[B](fn: => B): B = {
+    writeLock.lock()
+    try {
+      fn
+    } finally {
+      writeLock.unlock()
+    }
+  }
 
-  private[spark] def registerAccumulator(a: AccumulatorV2[_, _]): Unit = {
-    _externalAccums.add(a)
+  private[spark] def registerAccumulator(a: AccumulatorV2[_, _]): Unit = withWriteLock {
+    _externalAccums += a
   }
 
   private[spark] def accumulators(): Seq[AccumulatorV2[_, _]] = internalAccums ++ externalAccums
@@ -328,19 +354,16 @@ private[spark] object TaskMetrics extends Logging {
    */
   def fromAccumulators(accums: Seq[AccumulatorV2[_, _]]): TaskMetrics = {
     val tm = new TaskMetrics
-    val externalAccums = new java.util.ArrayList[AccumulatorV2[Any, Any]]()
     for (acc <- accums) {
       val name = acc.name
-      val tmpAcc = acc.asInstanceOf[AccumulatorV2[Any, Any]]
       if (name.isDefined && tm.nameToAccums.contains(name.get)) {
         val tmAcc = tm.nameToAccums(name.get).asInstanceOf[AccumulatorV2[Any, Any]]
         tmAcc.metadata = acc.metadata
-        tmAcc.merge(tmpAcc)
+        tmAcc.merge(acc.asInstanceOf[AccumulatorV2[Any, Any]])
       } else {
-        externalAccums.add(tmpAcc)
+        tm._externalAccums += acc
       }
     }
-    tm._externalAccums.addAll(externalAccums)
     tm
   }
 }
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 9ef674c93081f..4e00a7b2dc9b8 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -37,7 +37,19 @@
     <dependency>
       <groupId>org.scalanlp</groupId>
       <artifactId>breeze_${scala.binary.version}</artifactId>
+      <exclusions>
+        <exclusion>
+          <groupId>org.scala-lang.modules</groupId>
+          <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+        </exclusion>
+      </exclusions>
     </dependency>
+    <!-- #if scala-2.13 --><!--
+    <dependency>
+      <groupId>org.scala-lang.modules</groupId>
+      <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+    </dependency>
+    --><!-- #endif scala-2.13 -->
     <dependency>
       <groupId>org.apache.commons</groupId>
       <artifactId>commons-math3</artifactId>
diff --git a/mllib/pom.xml b/mllib/pom.xml
index f6640e4705964..b9e6e40583461 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -96,10 +96,20 @@
       <groupId>org.scala-lang.modules</groupId>
       <artifactId>scala-parallel-collections_${scala.binary.version}</artifactId>
     </dependency>
+    <dependency>
+      <groupId>org.scala-lang.modules</groupId>
+      <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+    </dependency>
     --><!-- #endif scala-2.13 -->
     <dependency>
       <groupId>org.scalanlp</groupId>
       <artifactId>breeze_${scala.binary.version}</artifactId>
+      <exclusions>
+        <exclusion>
+          <groupId>org.scala-lang.modules</groupId>
+          <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+        </exclusion>
+      </exclusions>
     </dependency>
     <dependency>
       <groupId>org.apache.commons</groupId>
diff --git a/pom.xml b/pom.xml
index be910d24193df..57bae938891d8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -174,6 +174,7 @@
     <commons.collections4.version>4.4</commons.collections4.version>
     <scala.version>2.12.18</scala.version>
     <scala.binary.version>2.12</scala.binary.version>
+    <scala-collection-compat.version>2.7.0</scala-collection-compat.version>
     <scalatest-maven-plugin.version>2.2.0</scalatest-maven-plugin.version>
     <!-- dont update scala-maven-plugin to version 4.8.1 SPARK-42809 and SPARK-43595 -->   
     <scala-maven-plugin.version>4.8.0</scala-maven-plugin.version>
@@ -1102,6 +1103,11 @@
         <artifactId>scala-xml_${scala.binary.version}</artifactId>
         <version>2.1.0</version>
       </dependency>
+      <dependency>
+        <groupId>org.scala-lang.modules</groupId>
+        <artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
+        <version>${scala-collection-compat.version}</version>
+      </dependency>
       <dependency>
         <groupId>org.scala-lang</groupId>
         <artifactId>scala-compiler</artifactId>

From e2479159ee85ffdbadf5caf2fbf7b5e28add5f1f Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Thu, 18 Jul 2024 15:21:01 -0700
Subject: [PATCH 769/986] [SPARK-48921][SQL][3.5] ScalaUDF encoders in subquery
 should be resolved for MergeInto

### What changes were proposed in this pull request?

We got a customer issue that a `MergeInto` query on Iceberg table works earlier but cannot work after upgrading to Spark 3.4.

The error looks like

```
Caused by: org.apache.spark.SparkRuntimeException: Error while decoding: org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to nullable on unresolved object
upcast(getcolumnbyordinal(0, StringType), StringType, - root class: java.lang.String).toString.
```

The source table of `MergeInto` uses `ScalaUDF`. The error happens when Spark invokes the deserializer of input encoder of the `ScalaUDF` and the deserializer is not resolved yet.

The encoders of ScalaUDF are resolved by the rule `ResolveEncodersInUDF` which will be applied at the end of analysis phase.

During rewriting `MergeInto` to `ReplaceData` query, Spark creates an `Exists` subquery and `ScalaUDF` is part of the plan of the subquery. Note that the `ScalaUDF` is already resolved by the analyzer.

Then, in `ResolveSubquery` rule which resolves the subquery, it will resolve the subquery plan if it is not resolved yet. Because the subquery containing `ScalaUDF` is resolved, the rule skips it so `ResolveEncodersInUDF` won't be applied on it. So the analyzed `ReplaceData` query contains a `ScalaUDF` with encoders unresolved that cause the error.

This patch modifies `ResolveSubquery` so it will resolve subquery plan if it is not analyzed to make sure subquery plan is fully analyzed.

This patch moves `ResolveEncodersInUDF` rule before rewriting `MergeInto` to make sure the `ScalaUDF` in the subquery plan is fully analyzed.

### Why are the changes needed?

Fixing production query error.

### Does this PR introduce _any_ user-facing change?

Yes, fixing user-facing issue.

### How was this patch tested?

Manually test with `MergeInto` query and add an unit test.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47406 from viirya/fix_subquery_resolve_3.5.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      | 11 ++-
 .../analysis/ResolveEncodersInUDFSuite.scala  | 95 +++++++++++++++++++
 2 files changed, 103 insertions(+), 3 deletions(-)
 create mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveEncodersInUDFSuite.scala

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index e63621d6a236b..4388740a409d9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -325,9 +325,6 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       new ResolveIdentifierClause(earlyBatches) ::
       ResolveUnion ::
       ResolveRowLevelCommandAssignments ::
-      RewriteDeleteFromTable ::
-      RewriteUpdateTable ::
-      RewriteMergeIntoTable ::
       typeCoercionRules ++
       Seq(
         ResolveWithCTE,
@@ -351,6 +348,14 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       UpdateAttributeNullability),
     Batch("UDF", Once,
       ResolveEncodersInUDF),
+    // The rewrite rules might move resolved query plan into subquery. Once the resolved plan
+    // contains ScalaUDF, their encoders won't be resolved if `ResolveEncodersInUDF` is not
+    // applied before the rewrite rules. So we need to apply `ResolveEncodersInUDF` before the
+    // rewrite rules.
+    Batch("DML rewrite", fixedPoint,
+      RewriteDeleteFromTable,
+      RewriteUpdateTable,
+      RewriteMergeIntoTable),
     Batch("Subquery", Once,
       UpdateOuterReferences),
     Batch("Cleanup", fixedPoint,
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveEncodersInUDFSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveEncodersInUDFSuite.scala
new file mode 100644
index 0000000000000..c7391ad9a4305
--- /dev/null
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveEncodersInUDFSuite.scala
@@ -0,0 +1,95 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.sql.catalyst.dsl.expressions._
+import org.apache.spark.sql.catalyst.dsl.plans._
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
+import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Exists, ScalaUDF}
+import org.apache.spark.sql.catalyst.plans.logical.{Assignment, Filter, MergeIntoTable, ReplaceData, UpdateAction}
+import org.apache.spark.sql.catalyst.trees.TreePattern
+import org.apache.spark.sql.connector.catalog.InMemoryRowLevelOperationTable
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
+import org.apache.spark.sql.types.{DoubleType, IntegerType, StringType, StructField, StructType}
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+class ResolveEncodersInUDFSuite extends AnalysisTest {
+  test("SPARK-48921: ScalaUDF encoders in subquery should be resolved for MergeInto") {
+    val table = new InMemoryRowLevelOperationTable("table",
+      StructType(StructField("a", IntegerType) ::
+        StructField("b", DoubleType) ::
+        StructField("c", StringType) :: Nil),
+      Array.empty,
+      new java.util.HashMap[String, String]()
+    )
+    val relation = DataSourceV2Relation(table,
+      Seq(AttributeReference("a", IntegerType)(),
+        AttributeReference("b", DoubleType)(),
+        AttributeReference("c", StringType)()),
+      None,
+      None,
+      CaseInsensitiveStringMap.empty()
+    )
+
+
+    val string = relation.output(2)
+    val udf = ScalaUDF((_: String) => "x", StringType, string :: Nil,
+      Option(ExpressionEncoder[String]()) :: Nil)
+
+    val mergeIntoSource =
+      relation
+        .where($"c" === udf)
+        .select($"a", $"b")
+        .limit(1)
+    val cond = mergeIntoSource.output(0) == relation.output(0) &&
+      mergeIntoSource.output(1) == relation.output(1)
+
+    val mergePlan = MergeIntoTable(
+      relation,
+      mergeIntoSource,
+      cond,
+      Seq(UpdateAction(None,
+        Seq(Assignment(relation.output(0), relation.output(0)),
+          Assignment(relation.output(1), relation.output(1)),
+          Assignment(relation.output(2), relation.output(2))))),
+      Seq.empty,
+      Seq.empty)
+
+    val replaceData = mergePlan.analyze.asInstanceOf[ReplaceData]
+
+    val existsPlans = replaceData.groupFilterCondition.map(_.collect {
+      case e: Exists =>
+        e.plan.collect {
+          case f: Filter if f.containsPattern(TreePattern.SCALA_UDF) => f
+        }
+    }.flatten)
+
+    assert(existsPlans.isDefined)
+
+    val udfs = existsPlans.get.map(_.expressions.flatMap(e => e.collect {
+      case s: ScalaUDF =>
+        assert(s.inputEncoders.nonEmpty)
+        val encoder = s.inputEncoders.head
+        assert(encoder.isDefined)
+        assert(encoder.get.objDeserializer.resolved)
+
+        s
+    })).flatten
+    assert(udfs.size == 1)
+  }
+}

From 66dce6d09c8832a0dabc3b79eaee8f6c3aef0d73 Mon Sep 17 00:00:00 2001
From: Siying Dong <siying.dong@databricks.com>
Date: Fri, 19 Jul 2024 07:30:33 +0900
Subject: [PATCH 770/986] [SPARK-48934][SS] Python datetime types converted
 incorrectly for setting timeout in applyInPandasWithState

Fix the way applyInPandasWithState's setTimeoutTimestamp() handles argument of datetime

In applyInPandasWithState(), when state.setTimeoutTimestamp() is passed in with datetime.datetime type, it doesn't function as expected. Fix it.
Also, fix another bug of reporting VALUE_NOT_POSITIVE. This issue will trigger when the converted value is 0.

No.

Add unit test coverage for thie scenario

No.

Closes #47398 from siying/state_set_timeout.

Lead-authored-by: Siying Dong <siying.dong@databricks.com>
Co-authored-by: Siying Dong <dong.sy@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit a54daa196c1c554e537435cf77c23001d16d9428)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 python/pyspark/sql/streaming/state.py         |   8 +-
 .../FlatMapGroupsInPandasWithStateSuite.scala | 166 ++++++++++--------
 2 files changed, 92 insertions(+), 82 deletions(-)

diff --git a/python/pyspark/sql/streaming/state.py b/python/pyspark/sql/streaming/state.py
index 8bf01b3ebd983..1d375de04b49b 100644
--- a/python/pyspark/sql/streaming/state.py
+++ b/python/pyspark/sql/streaming/state.py
@@ -18,7 +18,7 @@
 import json
 from typing import Tuple, Optional
 
-from pyspark.sql.types import DateType, Row, StructType
+from pyspark.sql.types import Row, StructType, TimestampType
 from pyspark.sql.utils import has_numpy
 from pyspark.errors import PySparkTypeError, PySparkValueError
 
@@ -195,7 +195,7 @@ def setTimeoutDuration(self, durationMs: int) -> None:
                 error_class="VALUE_NOT_POSITIVE",
                 message_parameters={
                     "arg_name": "durationMs",
-                    "arg_type": type(durationMs).__name__,
+                    "arg_value": type(durationMs).__name__,
                 },
             )
         self._timeout_timestamp = durationMs + self._batch_processing_time_ms
@@ -214,14 +214,14 @@ def setTimeoutTimestamp(self, timestampMs: int) -> None:
             )
 
         if isinstance(timestampMs, datetime.datetime):
-            timestampMs = DateType().toInternal(timestampMs)
+            timestampMs = TimestampType().toInternal(timestampMs) / 1000
 
         if timestampMs <= 0:
             raise PySparkValueError(
                 error_class="VALUE_NOT_POSITIVE",
                 message_parameters={
                     "arg_name": "timestampMs",
-                    "arg_type": type(timestampMs).__name__,
+                    "arg_value": type(timestampMs).__name__,
                 },
             )
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsInPandasWithStateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsInPandasWithStateSuite.scala
index 20fb17fe6ec2a..b3a4b8e3d3cbe 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsInPandasWithStateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsInPandasWithStateSuite.scala
@@ -366,91 +366,101 @@ class FlatMapGroupsInPandasWithStateSuite extends StateStoreMetricsTest {
     )
   }
 
-  test("applyInPandasWithState - streaming w/ event time timeout + watermark") {
-    assume(shouldTestPandasUDFs)
+  Seq(true, false).map { ifUseDateTimeType =>
+    test("applyInPandasWithState - streaming w/ event time timeout + watermark " +
+      s"ifUseDateTimeType=$ifUseDateTimeType") {
+      assume(shouldTestPandasUDFs)
 
-    // timestamp_seconds assumes the base timezone is UTC. However, the provided function
-    // localizes it. Therefore, this test assumes the timezone is in UTC
-    withSQLConf(SQLConf.SESSION_LOCAL_TIMEZONE.key -> "UTC") {
-      val pythonScript =
-        """
-          |import calendar
-          |import os
-          |import datetime
-          |import pandas as pd
-          |from pyspark.sql.types import StructType, StringType, StructField, IntegerType
-          |
-          |tpe = StructType([
-          |    StructField("key", StringType()),
-          |    StructField("maxEventTimeSec", IntegerType())])
-          |
-          |def func(key, pdf_iter, state):
-          |    assert state.getCurrentProcessingTimeMs() >= 0
-          |    assert state.getCurrentWatermarkMs() >= -1
-          |
-          |    timeout_delay_sec = 5
-          |    if state.hasTimedOut:
-          |        state.remove()
-          |        yield pd.DataFrame({'key': [key[0]], 'maxEventTimeSec': [-1]})
-          |    else:
-          |        m = state.getOption
-          |        if m is None:
-          |            max_event_time_sec = 0
-          |        else:
-          |            max_event_time_sec = m[0]
-          |
-          |        for pdf in pdf_iter:
-          |            pser = pdf.eventTime.apply(
-          |                lambda dt: (int(calendar.timegm(dt.utctimetuple()) + dt.microsecond)))
-          |            max_event_time_sec = int(max(pser.max(), max_event_time_sec))
-          |
-          |        state.update((max_event_time_sec,))
-          |        timeout_timestamp_sec = max_event_time_sec + timeout_delay_sec
-          |        state.setTimeoutTimestamp(timeout_timestamp_sec * 1000)
-          |        yield pd.DataFrame({'key': [key[0]],
-          |                            'maxEventTimeSec': [max_event_time_sec]})
-          |""".stripMargin
-      val pythonFunc = TestGroupedMapPandasUDFWithState(
-        name = "pandas_grouped_map_with_state", pythonScript = pythonScript)
+      // timestamp_seconds assumes the base timezone is UTC. However, the provided function
+      // localizes it. Therefore, this test assumes the timezone is in UTC
+      withSQLConf(SQLConf.SESSION_LOCAL_TIMEZONE.key -> "UTC") {
+        val timeoutMs = if (ifUseDateTimeType) {
+          "datetime.datetime.fromtimestamp(timeout_timestamp_sec)"
+        } else {
+          "timeout_timestamp_sec * 1000"
+        }
 
-      val inputData = MemoryStream[(String, Int)]
-      val inputDataDF =
-        inputData.toDF.select($"_1".as("key"), timestamp_seconds($"_2").as("eventTime"))
-      val outputStructType = StructType(
-        Seq(
-          StructField("key", StringType),
-          StructField("maxEventTimeSec", IntegerType)))
-      val stateStructType = StructType(Seq(StructField("maxEventTimeSec", LongType)))
-      val result =
-        inputDataDF
-          .withWatermark("eventTime", "10 seconds")
-          .groupBy("key")
-          .applyInPandasWithState(
-            pythonFunc(inputDataDF("key"), inputDataDF("eventTime")).expr.asInstanceOf[PythonUDF],
-            outputStructType,
-            stateStructType,
-            "Update",
-            "EventTimeTimeout")
+        val pythonScript =
+          s"""
+             |import calendar
+             |import os
+             |import datetime
+             |import pandas as pd
+             |from pyspark.sql.types import StructType, StringType, StructField, IntegerType
+             |
+             |tpe = StructType([
+             |    StructField("key", StringType()),
+             |    StructField("maxEventTimeSec", IntegerType())])
+             |
+             |def func(key, pdf_iter, state):
+             |    assert state.getCurrentProcessingTimeMs() >= 0
+             |    assert state.getCurrentWatermarkMs() >= -1
+             |
+             |    timeout_delay_sec = 5
+             |    if state.hasTimedOut:
+             |        state.remove()
+             |        yield pd.DataFrame({'key': [key[0]], 'maxEventTimeSec': [-1]})
+             |    else:
+             |        m = state.getOption
+             |        if m is None:
+             |            max_event_time_sec = 0
+             |        else:
+             |            max_event_time_sec = m[0]
+             |
+             |        for pdf in pdf_iter:
+             |            pser = pdf.eventTime.apply(
+             |                lambda dt: (int(calendar.timegm(dt.utctimetuple()) + dt.microsecond)))
+             |            max_event_time_sec = int(max(pser.max(), max_event_time_sec))
+             |
+             |        state.update((max_event_time_sec,))
+             |        timeout_timestamp_sec = max_event_time_sec + timeout_delay_sec
+             |        state.setTimeoutTimestamp($timeoutMs)
+             |        yield pd.DataFrame({'key': [key[0]],
+             |                            'maxEventTimeSec': [max_event_time_sec]})
+             |""".stripMargin.format("")
+        val pythonFunc = TestGroupedMapPandasUDFWithState(
+          name = "pandas_grouped_map_with_state", pythonScript = pythonScript)
 
-      testStream(result, Update)(
-        StartStream(),
+        val inputData = MemoryStream[(String, Int)]
+        val inputDataDF =
+          inputData.toDF().select($"_1".as("key"), timestamp_seconds($"_2").as("eventTime"))
+        val outputStructType = StructType(
+          Seq(
+            StructField("key", StringType),
+            StructField("maxEventTimeSec", IntegerType)))
+        val stateStructType = StructType(Seq(StructField("maxEventTimeSec", LongType)))
+        val result =
+          inputDataDF
+            .withWatermark("eventTime", "10 seconds")
+            .groupBy("key")
+            .applyInPandasWithState(
+              pythonFunc(inputDataDF("key"), inputDataDF("eventTime")).expr.asInstanceOf[PythonUDF],
+              outputStructType,
+              stateStructType,
+              "Update",
+              "EventTimeTimeout")
 
-        AddData(inputData, ("a", 11), ("a", 13), ("a", 15)),
-        // Max event time = 15. Timeout timestamp for "a" = 15 + 5 = 20. Watermark = 15 - 10 = 5.
-        CheckNewAnswer(("a", 15)), // Output = max event time of a
+        testStream(result, Update)(
+          StartStream(),
 
-        AddData(inputData, ("a", 4)), // Add data older than watermark for "a"
-        CheckNewAnswer(), // No output as data should get filtered by watermark
+          AddData(inputData, ("a", 11), ("a", 13), ("a", 15)),
+          // Max event time = 15. Timeout timestamp for "a" = 15 + 5 = 20. Watermark = 15 - 10 = 5.
+          CheckNewAnswer(("a", 15)), // Output = max event time of a
 
-        AddData(inputData, ("a", 10)), // Add data newer than watermark for "a"
-        CheckNewAnswer(("a", 15)), // Max event time is still the same
-        // Timeout timestamp for "a" is still 20 as max event time for "a" is still 15.
-        // Watermark is still 5 as max event time for all data is still 15.
+          AddData(inputData, ("a", 4)), // Add data older than watermark for "a"
+          CheckNewAnswer(), // No output as data should get filtered by watermark
 
-        AddData(inputData, ("b", 31)), // Add data newer than watermark for "b", not "a"
-        // Watermark = 31 - 10 = 21, so "a" should be timed out as timeout timestamp for "a" is 20.
-        CheckNewAnswer(("a", -1), ("b", 31)) // State for "a" should timeout and emit -1
-      )
+          AddData(inputData, ("a", 10)), // Add data newer than watermark for "a"
+          CheckNewAnswer(("a", 15)), // Max event time is still the same
+          // Timeout timestamp for "a" is still 20 as max event time for "a" is still 15.
+          // Watermark is still 5 as max event time for all data is still 15.
+
+          AddData(inputData, ("b", 31)), // Add data newer than watermark for "b", not "a"
+          // Watermark = 31 - 10 = 21, so "a" should be timed out as timeout timestamp for "a" is
+          // 20.
+          CheckNewAnswer(("a", -1), ("b", 31)) // State for "a" should timeout and emit -1
+        )
+      }
     }
   }
 

From 5a09a7daeb8aedbfd0d88da2da6ca89e4fe83ed0 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 19 Jul 2024 10:27:13 +0800
Subject: [PATCH 771/986] Revert "[SPARK-47307][DOCS][FOLLOWUP] Add a migration
 guide for the behavior change of base64 function"

This reverts commit b2e0a4dfb8d265635ef6199d24be8fa036d25786.
---
 docs/sql-migration-guide.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index a9b9765e87fe2..964f7de637e8b 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -25,7 +25,6 @@ license: |
 ## Upgrading from Spark SQL 3.5.1 to 3.5.2
 
 - Since 3.5.2, MySQL JDBC datasource will read TINYINT UNSIGNED as ShortType, while in 3.5.1, it was wrongly read as ByteType.
-- Since 3.5.2, the `base64` function will return a non-chunked string. To restore the behavior of chunking base64 encoded strings into lines of at most 76 characters, set `spark.sql.legacy.chunkBase64String.enabled` to `true`.
 
 ## Upgrading from Spark SQL 3.5.0 to 3.5.1
 

From 28d33e37e2dfe525e7189b109be92c9eb24903a8 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 19 Jul 2024 15:27:26 +0800
Subject: [PATCH 772/986] [SPARK-48498][SQL][FOLLOWUP] do padding for char-char
 comparison

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/46832 to handle a missing case: char-char comparison. We should pad both sides if `READ_SIDE_CHAR_PADDING` is not enabled.

### Why are the changes needed?

bug fix if people disable read side char padding

### Does this PR introduce _any_ user-facing change?

No because it's a followup and the original PR is not released yet

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47412 from cloud-fan/char.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/util/CharVarcharUtils.scala  | 14 ++++++----
 .../datasources/ApplyCharTypePadding.scala    |  5 ++--
 .../spark/sql/CharVarcharTestSuite.scala      | 28 ++++++++++++++++---
 3 files changed, 35 insertions(+), 12 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
index f3c272785a7be..87982e7a5f0bb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CharVarcharUtils.scala
@@ -238,14 +238,14 @@ object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
    * attributes. When comparing two char type columns/fields, we need to pad the shorter one to
    * the longer length.
    */
-  def addPaddingInStringComparison(attrs: Seq[Attribute]): Seq[Expression] = {
+  def addPaddingInStringComparison(attrs: Seq[Attribute], alwaysPad: Boolean): Seq[Expression] = {
     val rawTypes = attrs.map(attr => getRawType(attr.metadata))
     if (rawTypes.exists(_.isEmpty)) {
       attrs
     } else {
       val typeWithTargetCharLength = rawTypes.map(_.get).reduce(typeWithWiderCharLength)
       attrs.zip(rawTypes.map(_.get)).map { case (attr, rawType) =>
-        padCharToTargetLength(attr, rawType, typeWithTargetCharLength).getOrElse(attr)
+        padCharToTargetLength(attr, rawType, typeWithTargetCharLength, alwaysPad).getOrElse(attr)
       }
     }
   }
@@ -268,9 +268,10 @@ object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
   private def padCharToTargetLength(
       expr: Expression,
       rawType: DataType,
-      typeWithTargetCharLength: DataType): Option[Expression] = {
+      typeWithTargetCharLength: DataType,
+      alwaysPad: Boolean): Option[Expression] = {
     (rawType, typeWithTargetCharLength) match {
-      case (CharType(len), CharType(target)) if target > len =>
+      case (CharType(len), CharType(target)) if alwaysPad || target > len =>
         Some(StringRPad(expr, Literal(target)))
 
       case (StructType(fields), StructType(targets)) =>
@@ -281,7 +282,8 @@ object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
         while (i < fields.length) {
           val field = fields(i)
           val fieldExpr = GetStructField(expr, i, Some(field.name))
-          val padded = padCharToTargetLength(fieldExpr, field.dataType, targets(i).dataType)
+          val padded = padCharToTargetLength(
+            fieldExpr, field.dataType, targets(i).dataType, alwaysPad)
           needPadding = padded.isDefined
           createStructExprs += Literal(field.name)
           createStructExprs += padded.getOrElse(fieldExpr)
@@ -291,7 +293,7 @@ object CharVarcharUtils extends Logging with SparkCharVarcharUtils {
 
       case (ArrayType(et, containsNull), ArrayType(target, _)) =>
         val param = NamedLambdaVariable("x", replaceCharVarcharWithString(et), containsNull)
-        padCharToTargetLength(param, et, target).map { padded =>
+        padCharToTargetLength(param, et, target, alwaysPad).map { padded =>
           val func = LambdaFunction(padded, Seq(param))
           ArrayTransform(expr, func)
         }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
index 1b7b0d702ab98..141767135a509 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ApplyCharTypePadding.scala
@@ -137,7 +137,8 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
             case (_, _: OuterReference) => Seq(right)
             case _ => Nil
           }
-          val newChildren = CharVarcharUtils.addPaddingInStringComparison(Seq(left, right))
+          val newChildren = CharVarcharUtils.addPaddingInStringComparison(
+            Seq(left, right), padCharCol)
           if (outerRefs.nonEmpty) {
             b.withNewChildren(newChildren.map(_.transform {
               case a: Attribute if outerRefs.exists(_.semanticEquals(a)) => OuterReference(a)
@@ -148,7 +149,7 @@ object ApplyCharTypePadding extends Rule[LogicalPlan] {
 
         case i @ In(e @ AttrOrOuterRef(attr), list) if list.forall(_.isInstanceOf[Attribute]) =>
           val newChildren = CharVarcharUtils.addPaddingInStringComparison(
-            attr +: list.map(_.asInstanceOf[Attribute]))
+            attr +: list.map(_.asInstanceOf[Attribute]), padCharCol)
           if (e.isInstanceOf[OuterReference]) {
             i.copy(
               value = newChildren.head.transform {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
index 6732e8d41fea4..c5d34a33a0abe 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CharVarcharTestSuite.scala
@@ -1069,25 +1069,45 @@ class FileSourceCharVarcharTestSuite extends CharVarcharTestSuite with SharedSpa
     import testImplicits._
     withSQLConf(SQLConf.READ_SIDE_CHAR_PADDING.key -> "false") {
       withTempPath { dir =>
-        withTable("t") {
+        withTable("t1", "t2") {
           Seq(
             "12" -> "12",
             "12" -> "12 ",
             "12 " -> "12",
             "12 " -> "12 "
           ).toDF("c1", "c2").write.format(format).save(dir.toString)
-          sql(s"CREATE TABLE t (c1 CHAR(3), c2 STRING) USING $format LOCATION '$dir'")
+
+          sql(s"CREATE TABLE t1 (c1 CHAR(3), c2 STRING) USING $format LOCATION '$dir'")
           // Comparing CHAR column with STRING column directly compares the stored value.
           checkAnswer(
-            sql("SELECT c1 = c2 FROM t"),
+            sql("SELECT c1 = c2 FROM t1"),
+            Seq(Row(true), Row(false), Row(false), Row(true))
+          )
+          checkAnswer(
+            sql("SELECT c1 IN (c2) FROM t1"),
             Seq(Row(true), Row(false), Row(false), Row(true))
           )
           // No matter the CHAR type value is padded or not in the storage, we should always pad it
           // before comparison with STRING literals.
           checkAnswer(
-            sql("SELECT c1 = '12', c1 = '12 ', c1 = '12  ' FROM t WHERE c2 = '12'"),
+            sql("SELECT c1 = '12', c1 = '12 ', c1 = '12  ' FROM t1 WHERE c2 = '12'"),
             Seq(Row(true, true, true), Row(true, true, true))
           )
+          checkAnswer(
+            sql("SELECT c1 IN ('12'), c1 IN ('12 '), c1 IN ('12  ') FROM t1 WHERE c2 = '12'"),
+            Seq(Row(true, true, true), Row(true, true, true))
+          )
+
+          sql(s"CREATE TABLE t2 (c1 CHAR(3), c2 CHAR(5)) USING $format LOCATION '$dir'")
+          // Comparing CHAR column with CHAR column compares the padded values.
+          checkAnswer(
+            sql("SELECT c1 = c2, c2 = c1 FROM t2"),
+            Seq(Row(true, true), Row(true, true), Row(true, true), Row(true, true))
+          )
+          checkAnswer(
+            sql("SELECT c1 IN (c2), c2 IN (c1) FROM t2"),
+            Seq(Row(true, true), Row(true, true), Row(true, true), Row(true, true))
+          )
         }
       }
     }

From ea53ea71461508801586b1e5677aa6011df7cd95 Mon Sep 17 00:00:00 2001
From: wforget <643348094@qq.com>
Date: Sat, 20 Jul 2024 15:51:26 +0800
Subject: [PATCH 773/986] [SPARK-47307][SQL][FOLLOWUP][3.5] Promote
 spark.sql.legacy.chunkBase64String.enabled from a legacy/internal config to a
 regular/public one

Backports #47410 to 3.5

### What changes were proposed in this pull request?

+ Promote spark.sql.legacy.chunkBase64String.enabled from a legacy/internal config to a regular/public one.
+ Add test cases for unbase64

### Why are the changes needed?

Keep the same behavior as before. More details: https://github.com/apache/spark/pull/47303#issuecomment-2237785431

### Does this PR introduce _any_ user-facing change?

yes, revert behavior change introduced in #47303

### How was this patch tested?

existing unit test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47416 from wForget/SPARK-47307_followup_3.5.

Authored-by: wforget <643348094@qq.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../query-tests/explain-results/function_base64.explain      | 2 +-
 .../main/scala/org/apache/spark/sql/internal/SQLConf.scala   | 5 ++---
 .../sql/catalyst/expressions/StringExpressionsSuite.scala    | 4 ++++
 3 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
index 99d842189c659..3b4e69469c30b 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.Base64, StringType, encode, cast(g#0 as binary), false, BinaryType, BooleanType, true, true, true) AS base64(g)#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.Base64, StringType, encode, cast(g#0 as binary), true, BinaryType, BooleanType, true, true, true) AS base64(g)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 55f80645228db..44c58cd13ea84 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3229,14 +3229,13 @@ object SQLConf {
     .booleanConf
     .createWithDefault(false)
 
-  val CHUNK_BASE64_STRING_ENABLED = buildConf("spark.sql.legacy.chunkBase64String.enabled")
-    .internal()
+  val CHUNK_BASE64_STRING_ENABLED = buildConf("spark.sql.chunkBase64String.enabled")
     .doc("Whether to truncate string generated by the `Base64` function. When true, base64" +
       " strings generated by the base64 function are chunked into lines of at most 76" +
       " characters. When false, the base64 strings are not chunked.")
     .version("3.5.2")
     .booleanConf
-    .createWithDefault(false)
+    .createWithDefault(true)
 
   val ENABLE_DEFAULT_COLUMNS =
     buildConf("spark.sql.defaultColumn.enabled")
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
index 75224bf33f53e..c172688383688 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
@@ -517,6 +517,10 @@ class StringExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     withSQLConf(SQLConf.CHUNK_BASE64_STRING_ENABLED.key -> "true") {
       checkEvaluation(Base64(Literal(longString.getBytes)), chunkEncoded)
     }
+
+    // check if unbase64 works well for chunked and non-chunked encoded strings
+    checkEvaluation(StringDecode(UnBase64(Literal(encoded)), Literal("utf-8")), longString)
+    checkEvaluation(StringDecode(UnBase64(Literal(chunkEncoded)), Literal("utf-8")), longString)
   }
 
   test("initcap unit test") {

From 6d8f511430881fa7a3203405260da174df424103 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 22 Jul 2024 02:28:35 +0000
Subject: [PATCH 774/986] Preparing Spark release v3.5.2-rc2

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ed09ea1725da5..da05ae8eba11d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 12b57da00234a..e7e172fa7a136 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index e6e0a2660b45d..80f09efb00486 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index c39d849494e9c..33769c5c718b4 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 1c0173d35139c..dfa0da4bd1d2a 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 58ec4e57e5158..101730cf66734 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 5512ed8012ae2..158a5a14cac07 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 159064b0444c9..9b918826c7b45 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index d31f3ea7b1ac1..f6d8ceb426739 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index b15c6dd36ba74..de4196fc73277 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 317e663af153f..4aa353992d5c9 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6f3d683d9cb12..669de24b8c131 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 60c807b169699..d02193fc28bd8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 81c0826bdd189..f5132e5c8ae69 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f16f47db18876..97de1b9f47936 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8348a32b2e238..ce6646241db40 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 8db62e2020e35..197a3b3df5848 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 1d076d4d62f10..4f7c4e80466f6 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index c5ba0abd803d7..33b412061e359 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 3ba3ce45a726d..2ab75e151c988 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index a6cc9248f17a6..9526226882e70 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 034f45fc2af88..221dc8d9961c0 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index a326e41b8e233..2e7f729ca2168 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index b7abf37080d8d..03c391eaad7d9 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.2
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 6648ec2cc7cb1..3b7b63dd68da0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 22a8b916c4b14..cacb8684e99e6 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index fca45d2df0c35..5a4130b8f218f 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 75c85d66a935a..c9b3bbc284272 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 4e00a7b2dc9b8..0ae3e7eed0922 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index b9e6e40583461..9d0999af741e0 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 57bae938891d8..c609f0daa3fbd 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3-SNAPSHOT</version>
+  <version>3.5.2</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index c779e9442f6b3..6756acf033661 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3.dev0"
+__version__: str = "3.5.2"
diff --git a/repl/pom.xml b/repl/pom.xml
index e8c2436f109c3..338a9779e9207 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e1ad633dff2ff..1cb35dd8ef7f6 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 91fc5a94fa747..74c0753867071 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index d5d0c0125fce9..da43510900d74 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 2d6f7f87247c4..862acd8affb8d 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 818cb24cac80a..1011a6239c2fd 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 89cc3b9560a76..aa6bc4add957c 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 199597a36349d..2a1f09ed75e7f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1e4ad6f456371..8cf30e4e19170 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index ea65b59390c83..494fa6522ee43 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6601c459741f0..72abd933503fc 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3f7721c9bcff5..dfb594060e345 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 9574cec92d4c8b259bff915025dc10e9c7f6f21e Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 22 Jul 2024 02:28:39 +0000
Subject: [PATCH 775/986] Preparing development version 3.5.3-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index da05ae8eba11d..ed09ea1725da5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index e7e172fa7a136..12b57da00234a 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 80f09efb00486..e6e0a2660b45d 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 33769c5c718b4..c39d849494e9c 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index dfa0da4bd1d2a..1c0173d35139c 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 101730cf66734..58ec4e57e5158 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 158a5a14cac07..5512ed8012ae2 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 9b918826c7b45..159064b0444c9 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index f6d8ceb426739..d31f3ea7b1ac1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index de4196fc73277..b15c6dd36ba74 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4aa353992d5c9..317e663af153f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 669de24b8c131..6f3d683d9cb12 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index d02193fc28bd8..60c807b169699 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index f5132e5c8ae69..81c0826bdd189 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 97de1b9f47936..f16f47db18876 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index ce6646241db40..8348a32b2e238 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 197a3b3df5848..8db62e2020e35 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 4f7c4e80466f6..1d076d4d62f10 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 33b412061e359..c5ba0abd803d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 2ab75e151c988..3ba3ce45a726d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9526226882e70..a6cc9248f17a6 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 221dc8d9961c0..034f45fc2af88 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 2e7f729ca2168..a326e41b8e233 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 03c391eaad7d9..b7abf37080d8d 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 3b7b63dd68da0..6648ec2cc7cb1 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index cacb8684e99e6..22a8b916c4b14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 5a4130b8f218f..fca45d2df0c35 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index c9b3bbc284272..75c85d66a935a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0ae3e7eed0922..4e00a7b2dc9b8 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 9d0999af741e0..b9e6e40583461 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c609f0daa3fbd..57bae938891d8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2</version>
+  <version>3.5.3-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 6756acf033661..c779e9442f6b3 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2"
+__version__: str = "3.5.3.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 338a9779e9207..e8c2436f109c3 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 1cb35dd8ef7f6..e1ad633dff2ff 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 74c0753867071..91fc5a94fa747 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index da43510900d74..d5d0c0125fce9 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 862acd8affb8d..2d6f7f87247c4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1011a6239c2fd..818cb24cac80a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index aa6bc4add957c..89cc3b9560a76 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2a1f09ed75e7f..199597a36349d 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 8cf30e4e19170..1e4ad6f456371 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 494fa6522ee43..ea65b59390c83 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 72abd933503fc..6601c459741f0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index dfb594060e345..3f7721c9bcff5 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From ada5dc280bf2203b558efe6868142cf7697812e1 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 24 Jul 2024 19:47:29 +0800
Subject: [PATCH 776/986] [SPARK-48991][SQL] Move path initialization into
 try-catch block in FileStreamSink.hasMetadata

### What changes were proposed in this pull request?

This pull request proposed to move path initialization into try-catch block in FileStreamSink.hasMetadata. Then, exceptions from invalid paths can be handled consistently like other path-related exceptions in the current try-catch block. At last, we can make the errors fall into the correct code branches to be handled

### Why are the changes needed?

bugfix for improperly handled exceptions in FileStreamSink.hasMetadata

### Does this PR introduce _any_ user-facing change?

no, an invalid path is still invalid, but fails in the correct places

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #47471 from yaooqinn/SPARK-48991.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit d68cde812c6f904d6f01b7fde1eed10b12edd766)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/execution/streaming/FileStreamSink.scala    |  2 +-
 .../spark/sql/streaming/FileStreamSinkSuite.scala   | 13 +++++++++++++
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSink.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSink.scala
index 04a1de02ea587..23855db9d7f5b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSink.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSink.scala
@@ -48,8 +48,8 @@ object FileStreamSink extends Logging {
 
     path match {
       case Seq(singlePath) =>
-        val hdfsPath = new Path(singlePath)
         try {
+          val hdfsPath = new Path(singlePath)
           val fs = hdfsPath.getFileSystem(hadoopConf)
           if (fs.isDirectory(hdfsPath)) {
             val metadataPath = getMetadataLogPath(fs, hdfsPath, sqlConf)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
index 75f440caefc34..1954cce7fdc2c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
@@ -650,6 +650,19 @@ abstract class FileStreamSinkSuite extends StreamTest {
       }
     }
   }
+
+  test("SPARK-48991: Move path initialization into try-catch block") {
+    val logAppender = new LogAppender("Assume no metadata directory.")
+    Seq(null, "", "file:tmp").foreach { path =>
+      withLogAppender(logAppender) {
+        assert(!FileStreamSink.hasMetadata(Seq(path), spark.sessionState.newHadoopConf(), conf))
+      }
+
+      assert(logAppender.loggingEvents.map(_.getMessage.getFormattedMessage).contains(
+        "Assume no metadata directory. Error while looking for metadata directory in the path:" +
+        s" $path."))
+    }
+  }
 }
 
 object PendingCommitFilesTrackingManifestFileCommitProtocol {

From 66b7cb94c373610d9303a85912d7aeee156e4532 Mon Sep 17 00:00:00 2001
From: Wei Liu <wei.liu@databricks.com>
Date: Thu, 25 Jul 2024 09:38:25 +0900
Subject: [PATCH 777/986] [SPARK-48089][SS][CONNECT][FOLLOWUP][3.5] Disable
 Server Listener failed 3.5 <> 4.0 test

### What changes were proposed in this pull request?

Disable the listener test. This test would fail after https://github.com/apache/spark/pull/46921, which is now reverted. The reason was because with #46921, the server starts a server side python process which serializes the `StreamingQueryProgress` object with the new `StreamingQueryProgress` change. But in the client, the client tries to deserialize `StreamingQueryProgress` use the old `StreamingQueryProgress` without the change, which caused serde error.

However, as the change is going to spark 4.0, and is considered a generally good improvement and does more good than harm, we would like to disable this test to bring back #46921.

### Why are the changes needed?

Unblock bringing back #46921

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

No need

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47468 from WweiL/3.5-disable-server-listener-test-cross-version.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../sql/tests/connect/streaming/test_parity_listener.py      | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
index eae2b01c55446..99da04315f0ba 100644
--- a/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
+++ b/python/pyspark/sql/tests/connect/streaming/test_parity_listener.py
@@ -15,6 +15,8 @@
 # limitations under the License.
 #
 import time
+import os
+import unittest
 
 import pyspark.cloudpickle
 from pyspark.sql.tests.streaming.test_streaming_listener import StreamingListenerTestsMixin
@@ -44,6 +46,9 @@ def onQueryTerminated(self, event):
 
 
 class StreamingListenerParityTests(StreamingListenerTestsMixin, ReusedConnectTestCase):
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Failed with different Client <> Server"
+    )
     def test_listener_events(self):
         test_listener = TestListenerSpark()
 

From c4ef321d5599349cd6a2a6d69f7cd532887d7bb6 Mon Sep 17 00:00:00 2001
From: Johan Lasperas <johan.lasperas@databricks.com>
Date: Thu, 25 Jul 2024 16:52:16 +0800
Subject: [PATCH 778/986] [SPARK-48308][CORE][3.5] Unify getting data schema
 without partition columns in FileSourceStrategy

### What changes were proposed in this pull request?

(Cherry-pick of 57948c865e064469a75c92f8b58c632b9b40fdd3 to branch-3.5)

Compute the schema of the data without partition columns only once in FileSourceStrategy.

### Why are the changes needed?

In FileSourceStrategy, the schema of the data excluding partition columns is computed 2 times in a slightly different way, using an AttributeSet (`partitionSet`) and using the attributes directly (`partitionColumns`) These don't have the exact same semantics, AttributeSet will only use expression ids for comparison while comparing with the actual attributes will use the name, type, nullability and metadata. We want to use the former here.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

### Was this patch authored or co-authored using generative AI tooling?

No

Authored-by: Johan Lasperas <johan.lasperasdatabricks.com>

Closes #47483 from vkorukanti/partitionCols.

Authored-by: Johan Lasperas <johan.lasperas@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/execution/datasources/FileSourceStrategy.scala   | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
index e4bf24ad88d1e..9fe42c6bcf2bf 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
@@ -210,9 +210,8 @@ object FileSourceStrategy extends Strategy with PredicateHelper with Logging {
       val requiredExpressions: Seq[NamedExpression] = filterAttributes.toSeq ++ projects
       val requiredAttributes = AttributeSet(requiredExpressions)
 
-      val readDataColumns = dataColumns
+      val readDataColumns = dataColumnsWithoutPartitionCols
         .filter(requiredAttributes.contains)
-        .filterNot(partitionColumns.contains)
 
       // Metadata attributes are part of a column of type struct up to this point. Here we extract
       // this column from the schema and specify a matcher for that.

From ebda6a6a97bf0b3932b970801f4c2f5dc6ae81d4 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 25 Jul 2024 09:06:34 +0000
Subject: [PATCH 779/986] Preparing Spark release v3.5.2-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ed09ea1725da5..da05ae8eba11d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 12b57da00234a..e7e172fa7a136 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index e6e0a2660b45d..80f09efb00486 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index c39d849494e9c..33769c5c718b4 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 1c0173d35139c..dfa0da4bd1d2a 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 58ec4e57e5158..101730cf66734 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 5512ed8012ae2..158a5a14cac07 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 159064b0444c9..9b918826c7b45 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index d31f3ea7b1ac1..f6d8ceb426739 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index b15c6dd36ba74..de4196fc73277 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 317e663af153f..4aa353992d5c9 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6f3d683d9cb12..669de24b8c131 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 60c807b169699..d02193fc28bd8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 81c0826bdd189..f5132e5c8ae69 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f16f47db18876..97de1b9f47936 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8348a32b2e238..ce6646241db40 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 8db62e2020e35..197a3b3df5848 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 1d076d4d62f10..4f7c4e80466f6 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index c5ba0abd803d7..33b412061e359 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 3ba3ce45a726d..2ab75e151c988 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index a6cc9248f17a6..9526226882e70 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 034f45fc2af88..221dc8d9961c0 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index a326e41b8e233..2e7f729ca2168 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index b7abf37080d8d..03c391eaad7d9 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.2
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 6648ec2cc7cb1..3b7b63dd68da0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 22a8b916c4b14..cacb8684e99e6 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index fca45d2df0c35..5a4130b8f218f 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 75c85d66a935a..c9b3bbc284272 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 4e00a7b2dc9b8..0ae3e7eed0922 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index b9e6e40583461..9d0999af741e0 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 57bae938891d8..c609f0daa3fbd 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3-SNAPSHOT</version>
+  <version>3.5.2</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index c779e9442f6b3..6756acf033661 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3.dev0"
+__version__: str = "3.5.2"
diff --git a/repl/pom.xml b/repl/pom.xml
index e8c2436f109c3..338a9779e9207 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e1ad633dff2ff..1cb35dd8ef7f6 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 91fc5a94fa747..74c0753867071 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index d5d0c0125fce9..da43510900d74 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 2d6f7f87247c4..862acd8affb8d 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 818cb24cac80a..1011a6239c2fd 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 89cc3b9560a76..aa6bc4add957c 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 199597a36349d..2a1f09ed75e7f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1e4ad6f456371..8cf30e4e19170 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index ea65b59390c83..494fa6522ee43 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6601c459741f0..72abd933503fc 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3f7721c9bcff5..dfb594060e345 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 61a90e561d3512b39df79d744912fc951c5a0d3d Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 25 Jul 2024 09:06:38 +0000
Subject: [PATCH 780/986] Preparing development version 3.5.3-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index da05ae8eba11d..ed09ea1725da5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index e7e172fa7a136..12b57da00234a 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 80f09efb00486..e6e0a2660b45d 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 33769c5c718b4..c39d849494e9c 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index dfa0da4bd1d2a..1c0173d35139c 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 101730cf66734..58ec4e57e5158 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 158a5a14cac07..5512ed8012ae2 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 9b918826c7b45..159064b0444c9 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index f6d8ceb426739..d31f3ea7b1ac1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index de4196fc73277..b15c6dd36ba74 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4aa353992d5c9..317e663af153f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 669de24b8c131..6f3d683d9cb12 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index d02193fc28bd8..60c807b169699 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index f5132e5c8ae69..81c0826bdd189 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 97de1b9f47936..f16f47db18876 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index ce6646241db40..8348a32b2e238 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 197a3b3df5848..8db62e2020e35 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 4f7c4e80466f6..1d076d4d62f10 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 33b412061e359..c5ba0abd803d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 2ab75e151c988..3ba3ce45a726d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9526226882e70..a6cc9248f17a6 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 221dc8d9961c0..034f45fc2af88 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 2e7f729ca2168..a326e41b8e233 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 03c391eaad7d9..b7abf37080d8d 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 3b7b63dd68da0..6648ec2cc7cb1 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index cacb8684e99e6..22a8b916c4b14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 5a4130b8f218f..fca45d2df0c35 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index c9b3bbc284272..75c85d66a935a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0ae3e7eed0922..4e00a7b2dc9b8 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 9d0999af741e0..b9e6e40583461 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c609f0daa3fbd..57bae938891d8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2</version>
+  <version>3.5.3-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 6756acf033661..c779e9442f6b3 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2"
+__version__: str = "3.5.3.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 338a9779e9207..e8c2436f109c3 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 1cb35dd8ef7f6..e1ad633dff2ff 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 74c0753867071..91fc5a94fa747 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index da43510900d74..d5d0c0125fce9 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 862acd8affb8d..2d6f7f87247c4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1011a6239c2fd..818cb24cac80a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index aa6bc4add957c..89cc3b9560a76 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2a1f09ed75e7f..199597a36349d 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 8cf30e4e19170..1e4ad6f456371 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 494fa6522ee43..ea65b59390c83 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 72abd933503fc..6601c459741f0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index dfb594060e345..3f7721c9bcff5 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 4c38e90488020fa64ca9eb1cf65db6770be2f5e6 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Thu, 25 Jul 2024 10:41:57 -0700
Subject: [PATCH 781/986] [SPARK-49005][K8S][3.5] Use `17-jammy` tag instead of
 `17` to prevent Python 12

### What changes were proposed in this pull request?

This PR aims to use `17-jammy` tag instead of `17` to prevent Python 12.

### Why are the changes needed?

Two days ago, `eclipse-temurin:17` switched its baseline OS to `Ubuntu 24.04` which brings `Python 3.12`.

```
$ docker run -it --rm eclipse-temurin:17 cat /etc/os-release | grep VERSION_ID
VERSION_ID="24.04"

$ docker run -it --rm eclipse-temurin:17-jammy cat /etc/os-release | grep VERSION_ID
VERSION_ID="22.04"
```

Since Python 3.12 supported is added only to Apache Spark 4.0.0, we need to keep using the previous OS, `Ubuntu 22.04`.

- #43184
- #43192

### Does this PR introduce _any_ user-facing change?

No. This aims to recover to the same OS for consistent behavior.

### How was this patch tested?

Pass the CIs with K8s IT. Currently, it's broken at Python image building phase.

- https://github.com/apache/spark/actions/workflows/build_branch35.yml

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47488 from dongjoon-hyun/SPARK-49005.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../kubernetes/docker/src/main/dockerfiles/spark/Dockerfile     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
index 22d8f1550128f..c30823de01360 100644
--- a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
+++ b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-ARG java_image_tag=17
+ARG java_image_tag=17-jammy
 
 FROM eclipse-temurin:${java_image_tag}
 

From 1edbddfadeb46581134fa477d35399ddc63b7163 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 26 Jul 2024 08:37:06 +0000
Subject: [PATCH 782/986] Preparing Spark release v3.5.2-rc4

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ed09ea1725da5..da05ae8eba11d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 12b57da00234a..e7e172fa7a136 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index e6e0a2660b45d..80f09efb00486 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index c39d849494e9c..33769c5c718b4 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 1c0173d35139c..dfa0da4bd1d2a 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 58ec4e57e5158..101730cf66734 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 5512ed8012ae2..158a5a14cac07 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 159064b0444c9..9b918826c7b45 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index d31f3ea7b1ac1..f6d8ceb426739 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index b15c6dd36ba74..de4196fc73277 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 317e663af153f..4aa353992d5c9 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6f3d683d9cb12..669de24b8c131 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 60c807b169699..d02193fc28bd8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 81c0826bdd189..f5132e5c8ae69 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f16f47db18876..97de1b9f47936 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8348a32b2e238..ce6646241db40 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 8db62e2020e35..197a3b3df5848 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 1d076d4d62f10..4f7c4e80466f6 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index c5ba0abd803d7..33b412061e359 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 3ba3ce45a726d..2ab75e151c988 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index a6cc9248f17a6..9526226882e70 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 034f45fc2af88..221dc8d9961c0 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index a326e41b8e233..2e7f729ca2168 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index b7abf37080d8d..03c391eaad7d9 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.2
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 6648ec2cc7cb1..3b7b63dd68da0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 22a8b916c4b14..cacb8684e99e6 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index fca45d2df0c35..5a4130b8f218f 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 75c85d66a935a..c9b3bbc284272 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 4e00a7b2dc9b8..0ae3e7eed0922 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index b9e6e40583461..9d0999af741e0 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 57bae938891d8..c609f0daa3fbd 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3-SNAPSHOT</version>
+  <version>3.5.2</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index c779e9442f6b3..6756acf033661 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3.dev0"
+__version__: str = "3.5.2"
diff --git a/repl/pom.xml b/repl/pom.xml
index e8c2436f109c3..338a9779e9207 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e1ad633dff2ff..1cb35dd8ef7f6 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 91fc5a94fa747..74c0753867071 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index d5d0c0125fce9..da43510900d74 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 2d6f7f87247c4..862acd8affb8d 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 818cb24cac80a..1011a6239c2fd 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 89cc3b9560a76..aa6bc4add957c 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 199597a36349d..2a1f09ed75e7f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1e4ad6f456371..8cf30e4e19170 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index ea65b59390c83..494fa6522ee43 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6601c459741f0..72abd933503fc 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3f7721c9bcff5..dfb594060e345 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 75029e1aae257f79f3c284e796ded7cc6d49fb40 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 26 Jul 2024 08:37:10 +0000
Subject: [PATCH 783/986] Preparing development version 3.5.3-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index da05ae8eba11d..ed09ea1725da5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index e7e172fa7a136..12b57da00234a 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 80f09efb00486..e6e0a2660b45d 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 33769c5c718b4..c39d849494e9c 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index dfa0da4bd1d2a..1c0173d35139c 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 101730cf66734..58ec4e57e5158 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 158a5a14cac07..5512ed8012ae2 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 9b918826c7b45..159064b0444c9 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index f6d8ceb426739..d31f3ea7b1ac1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index de4196fc73277..b15c6dd36ba74 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4aa353992d5c9..317e663af153f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 669de24b8c131..6f3d683d9cb12 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index d02193fc28bd8..60c807b169699 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index f5132e5c8ae69..81c0826bdd189 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 97de1b9f47936..f16f47db18876 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index ce6646241db40..8348a32b2e238 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 197a3b3df5848..8db62e2020e35 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 4f7c4e80466f6..1d076d4d62f10 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 33b412061e359..c5ba0abd803d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 2ab75e151c988..3ba3ce45a726d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9526226882e70..a6cc9248f17a6 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 221dc8d9961c0..034f45fc2af88 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 2e7f729ca2168..a326e41b8e233 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 03c391eaad7d9..b7abf37080d8d 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 3b7b63dd68da0..6648ec2cc7cb1 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index cacb8684e99e6..22a8b916c4b14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 5a4130b8f218f..fca45d2df0c35 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index c9b3bbc284272..75c85d66a935a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0ae3e7eed0922..4e00a7b2dc9b8 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 9d0999af741e0..b9e6e40583461 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c609f0daa3fbd..57bae938891d8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2</version>
+  <version>3.5.3-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 6756acf033661..c779e9442f6b3 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2"
+__version__: str = "3.5.3.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 338a9779e9207..e8c2436f109c3 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 1cb35dd8ef7f6..e1ad633dff2ff 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 74c0753867071..91fc5a94fa747 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index da43510900d74..d5d0c0125fce9 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 862acd8affb8d..2d6f7f87247c4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1011a6239c2fd..818cb24cac80a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index aa6bc4add957c..89cc3b9560a76 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2a1f09ed75e7f..199597a36349d 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 8cf30e4e19170..1e4ad6f456371 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 494fa6522ee43..ea65b59390c83 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 72abd933503fc..6601c459741f0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index dfb594060e345..3f7721c9bcff5 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 268c13e32d0737cf9f7fc8f61b34dbad7bdeb8e8 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Tue, 30 Jul 2024 13:23:09 -0700
Subject: [PATCH 784/986] [SPARK-49054][SQL][3.5] Column default value should
 support current_* functions

### What changes were proposed in this pull request?

This is a regression between Spark 3.5.0 and Spark 4.
The following queries work on Spark 3.5.0 while fails on latest master branch:
```
CREATE TABLE test_current_user(i int, s string) USING parquet;
ALTER TABLE test_current_user ALTER COLUMN s SET DEFAULT current_user()
```
```
CREATE TABLE test_current_user(i int, s string default current_user()) USING parquet
INSERT INTO test_current_user (i) VALUES ((0));
```

This PR is to complete fixing this by eagerly executing finish-analysis and constant-folding rules before checking whether the expression is foldable and resolved.
### Why are the changes needed?

Bug fix

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

New UTs
### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47538 from gengliangwang/pickFinishAnlysis.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 .../util/ResolveDefaultColumnsUtil.scala      | 11 ++++++++--
 .../sql/ResolveDefaultColumnsSuite.scala      | 21 +++++++++++++++++++
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
index f55fa2d8f5e85..0d947258e6555 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala
@@ -26,7 +26,7 @@ import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.catalog.{CatalogDatabase, InMemoryCatalog, SessionCatalog}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.{Literal => ExprLiteral}
-import org.apache.spark.sql.catalyst.optimizer.ConstantFolding
+import org.apache.spark.sql.catalyst.optimizer.{ConstantFolding, Optimizer}
 import org.apache.spark.sql.catalyst.parser.{CatalystSqlParser, ParseException}
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.trees.TreePattern.PLAN_EXPRESSION
@@ -285,7 +285,9 @@ object ResolveDefaultColumns extends QueryErrorsBase with ResolveDefaultColumnsU
       val analyzer: Analyzer = DefaultColumnAnalyzer
       val analyzed = analyzer.execute(Project(Seq(Alias(parsed, colName)()), OneRowRelation()))
       analyzer.checkAnalysis(analyzed)
-      ConstantFolding(analyzed)
+      // Eagerly execute finish-analysis and constant-folding rules before checking whether the
+      // expression is foldable and resolved.
+      ConstantFolding(DefaultColumnOptimizer.FinishAnalysis(analyzed))
     } catch {
       case ex: AnalysisException =>
         throw QueryCompilationErrors.defaultValuesUnresolvedExprError(
@@ -452,6 +454,11 @@ object ResolveDefaultColumns extends QueryErrorsBase with ResolveDefaultColumnsU
     new CatalogManager(BuiltInFunctionCatalog, BuiltInFunctionCatalog.v1Catalog)) {
   }
 
+  /**
+   * This is an Optimizer for convert default column expressions to foldable literals.
+   */
+  object DefaultColumnOptimizer extends Optimizer(DefaultColumnAnalyzer.catalogManager)
+
   /**
    * This is a FunctionCatalog for performing analysis using built-in functions only. It is a helper
    * for the DefaultColumnAnalyzer above.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
index 00529559a4853..79b2f517b060b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ResolveDefaultColumnsSuite.scala
@@ -215,4 +215,25 @@ class ResolveDefaultColumnsSuite extends QueryTest with SharedSparkSession {
       }
     }
   }
+
+  test("SPARK-49054: Create table with current_user() default") {
+    val tableName = "test_current_user"
+    val user = spark.sparkContext.sparkUser
+    withTable(tableName) {
+      sql(s"CREATE TABLE $tableName(i int, s string default current_user()) USING parquet")
+      sql(s"INSERT INTO $tableName (i) VALUES ((0))")
+      checkAnswer(sql(s"SELECT * FROM $tableName"), Seq(Row(0, user)))
+    }
+  }
+
+  test("SPARK-49054: Alter table with current_user() default") {
+    val tableName = "test_current_user"
+    val user = spark.sparkContext.sparkUser
+    withTable(tableName) {
+      sql(s"CREATE TABLE $tableName(i int, s string) USING parquet")
+      sql(s"ALTER TABLE $tableName ALTER COLUMN s SET DEFAULT current_user()")
+      sql(s"INSERT INTO $tableName (i) VALUES ((0))")
+      checkAnswer(sql(s"SELECT * FROM $tableName"), Seq(Row(0, user)))
+    }
+  }
 }

From c6df890798862d0863afbfff8fca0ee4df70354f Mon Sep 17 00:00:00 2001
From: Uros Bojanic <157381213+uros-db@users.noreply.github.com>
Date: Wed, 31 Jul 2024 22:37:42 +0800
Subject: [PATCH 785/986] [SPARK-49000][SQL] Fix "select count(distinct 1) from
 t" where t is empty table by expanding RewriteDistinctAggregates

Fix `RewriteDistinctAggregates` rule to deal properly with aggregation on DISTINCT literals. Physical plan for `select count(distinct 1) from t`:
```
-- count(distinct 1)
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- HashAggregate(keys=[], functions=[count(distinct 1)], output=[count(DISTINCT 1)#2L])
   +- HashAggregate(keys=[], functions=[partial_count(distinct 1)], output=[count#6L])
      +- HashAggregate(keys=[], functions=[], output=[])
         +- Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=20]
            +- HashAggregate(keys=[], functions=[], output=[])
               +- FileScan parquet spark_catalog.default.t[] Batched: false, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/Users/nikola.mandic/oss-spark/spark-warehouse/org.apache.spark.s..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>
```
Problem is happening when `HashAggregate(keys=[], functions=[], output=[])` node yields one row to `partial_count` node, which then captures one row. This four-node structure is constructed by `AggUtils.planAggregateWithOneDistinct`.

To fix the problem, we're adding `Expand` node which will force non-empty grouping expressions in `HashAggregateExec` nodes. This will in turn enable streaming zero rows to parent `partial_count` node, yielding correct final result.

Aggregation with DISTINCT literal gives wrong results. For example, when running on empty table `t`:
`select count(distinct 1) from t` returns 1, while the correct result should be 0.
For reference:
`select count(1) from t` returns 0, which is the correct and expected result.

Yes, this fixes a critical bug in Spark.

New e2e SQL tests for aggregates with DISTINCT literals.

No.

Closes #47525 from nikolamand-db/SPARK-49000-spark-expand-approach.

Lead-authored-by: Uros Bojanic <157381213+uros-db@users.noreply.github.com>
Co-authored-by: Nikola Mandic <nikola.mandic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit dfa21332f20fff4aa6052ffa556d206497c066cf)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../optimizer/RewriteDistinctAggregates.scala |  13 +-
 .../spark/sql/DataFrameAggregateSuite.scala   | 114 ++++++++++++++++++
 2 files changed, 125 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
index da3cf782f6682..e91493188873e 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
@@ -197,6 +197,15 @@ import org.apache.spark.util.collection.Utils
  * techniques.
  */
 object RewriteDistinctAggregates extends Rule[LogicalPlan] {
+  private def mustRewrite(
+      aggregateExpressions: Seq[AggregateExpression],
+      groupingExpressions: Seq[Expression]): Boolean = {
+    // If there are any AggregateExpressions with filter, we need to rewrite the query.
+    // Also, if there are no grouping expressions and all aggregate expressions are foldable,
+    // we need to rewrite the query, e.g. SELECT COUNT(DISTINCT 1).
+    aggregateExpressions.exists(_.filter.isDefined) || (groupingExpressions.isEmpty &&
+      aggregateExpressions.exists(_.aggregateFunction.children.forall(_.foldable)))
+  }
 
   private def mayNeedtoRewrite(a: Aggregate): Boolean = {
     val aggExpressions = collectAggregateExprs(a)
@@ -205,7 +214,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     // clause for this rule because aggregation strategy can handle a single distinct aggregate
     // group without filter clause.
     // This check can produce false-positives, e.g., SUM(DISTINCT a) & COUNT(DISTINCT a).
-    distinctAggs.size > 1 || distinctAggs.exists(_.filter.isDefined)
+    distinctAggs.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformUpWithPruning(
@@ -236,7 +245,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     }
 
     // Aggregation strategy can handle queries with a single distinct group without filter clause.
-    if (distinctAggGroups.size > 1 || distinctAggs.exists(_.filter.isDefined)) {
+    if (distinctAggGroups.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)) {
       // Create the attributes for the grouping id and the group by clause.
       val gid = AttributeReference("gid", IntegerType, nullable = false)()
       val groupByMap = a.groupingExpressions.collect {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 1ba3f6c84d0ad..d8e3a046655f6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -24,6 +24,7 @@ import scala.util.Random
 import org.scalatest.matchers.must.Matchers.the
 
 import org.apache.spark.{SparkException, SparkThrowable}
+import org.apache.spark.sql.catalyst.plans.logical.Expand
 import org.apache.spark.sql.execution.WholeStageCodegenExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
@@ -2150,6 +2151,119 @@ class DataFrameAggregateSuite extends QueryTest
       checkAnswer(df, Row(1, 2, 2) :: Row(3, 1, 1) :: Nil)
     }
   }
+
+  test("aggregating with various distinct expressions") {
+    abstract class AggregateTestCaseBase(
+        val query: String,
+        val resultSeq: Seq[Seq[Row]],
+        val hasExpandNodeInPlan: Boolean)
+    case class AggregateTestCase(
+        override val query: String,
+        override val resultSeq: Seq[Seq[Row]],
+        override val hasExpandNodeInPlan: Boolean)
+      extends AggregateTestCaseBase(query, resultSeq, hasExpandNodeInPlan)
+    case class AggregateTestCaseDefault(
+        override val query: String)
+      extends AggregateTestCaseBase(
+        query,
+        Seq(Seq(Row(0)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = true)
+
+    val t = "t"
+    val testCases: Seq[AggregateTestCaseBase] = Seq(
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT "col") FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1) FROM $t"
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1 + 2) FROM $t"
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1, 2, 1 + 2) FROM $t"
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(1), COUNT(DISTINCT 1) FROM $t",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(2, 1))),
+        hasExpandNodeInPlan = true
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT 1, "col") FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT collation("abc")) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT current_date()) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT array(1, 2)[1]) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT map(1, 2)[1]) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT struct(1, 2).col1) FROM $t"""
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(DISTINCT 1) FROM $t GROUP BY col",
+        Seq(Seq(), Seq(Row(1)), Seq(Row(1), Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 1"
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 0",
+        Seq(Seq(Row(0)), Seq(Row(0)), Seq(Row(0))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT SUM(x) FROM (SELECT COUNT(DISTINCT 1) AS x FROM $t)"),
+      AggregateTestCase(
+        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT "col") FROM $t""",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 1))),
+        hasExpandNodeInPlan = true
+      ),
+      AggregateTestCase(
+        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT col) FROM $t""",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 2))),
+        hasExpandNodeInPlan = true
+      )
+    )
+    withTable(t) {
+      sql(s"create table $t(col int) using parquet")
+      Seq(0, 1, 2).foreach(columnValue => {
+        if (columnValue != 0) {
+          sql(s"insert into $t(col) values($columnValue)")
+        }
+        testCases.foreach(testCase => {
+          val query = sql(testCase.query)
+          checkAnswer(query, testCase.resultSeq(columnValue))
+          val hasExpandNodeInPlan = query.queryExecution.optimizedPlan.collectFirst {
+            case _: Expand => true
+          }.nonEmpty
+          assert(hasExpandNodeInPlan == testCase.hasExpandNodeInPlan)
+        })
+      })
+    }
+  }
 }
 
 case class B(c: Option[Double])

From a0f88f5f452285e640b7e6c414a16c07287816ba Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 31 Jul 2024 08:59:13 -0700
Subject: [PATCH 786/986] [SPARK-44638][SQL][TESTS][3.5] Add test for
 Char/Varchar in JDBC customSchema option

### What changes were proposed in this pull request?

Char/Varchar in JDBC `customSchema` option once broke in Spark 3.1 ~ 3.4, but seem to be restored in master by some recent works in the JDBC area, this PR add a test to cover.

### Why are the changes needed?

test cov

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

test added

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47550 from yaooqinn/SPARK-44638-F.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/jdbc/MySQLIntegrationSuite.scala    | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
index bc7302163d9a1..cefbe41b64bd3 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MySQLIntegrationSuite.scala
@@ -220,6 +220,15 @@ class MySQLIntegrationSuite extends DockerJDBCIntegrationSuite {
     val nulls = spark.read.jdbc(jdbcUrl, "numbers", new Properties).tail(1).head
     assert(nulls === Row(null, null, null, null, null, null, null, null, null, null, null))
   }
+
+  test("SPARK-44638: Char/Varchar in Custom Schema") {
+    val df = spark.read.option("url", jdbcUrl)
+      .option("query", "SELECT c, d from strings")
+      .option("customSchema", "c CHAR(10), d VARCHAR(10)")
+      .format("jdbc")
+      .load()
+    assert(df.head === Row("brown     ", "fox"))
+  }
 }
 
 /**

From d23b70b84fa4ec2016171d6241a34f490b8aab06 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 31 Jul 2024 12:02:33 -0700
Subject: [PATCH 787/986] [SPARK-49066][SQL][TESTS] Refactor
 `OrcEncryptionSuite` and make
 `spark.hadoop.hadoop.security.key.provider.path` effective only within
 `OrcEncryptionSuite`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This pr moves the global scope test configuration `spark.hadoop.hadoop.security.key.provider.path`, which is configured in the parent `pom.xml` and `SparkBuild.scala`, to `OrcEncryptionSuite` to ensure that it is effective only within `OrcEncryptionSuite`.

To achieve this, the pr also refactors `OrcEncryptionSuite`:
1. Overrides `beforeAll` to back up the contents of `CryptoUtils#keyProviderCache`.
2. Overrides `afterAll` to restore the contents of `CryptoUtils#keyProviderCache`.

This ensures that `CryptoUtils#keyProviderCache` is isolated during the test process of `OrcEncryptionSuite`.

### Why are the changes needed?
The test configuration `spark.hadoop.hadoop.security.key.provider.path` in the parent `pom.xml` and `SparkBuild.scala` is effective globally, which leads to the possibility that other Orc writing test cases, besides `OrcEncryptionSuite`, might also be affected by this configuration and use `test.org.apache.spark.sql.execution.datasources.orc.FakeKeyProvider.Factory`。

### Does this PR introduce _any_ user-facing change?
No, just for test.

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47543 from LuciferYang/SPARK-49066.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 06ed91ac6e75b3200eeb44fd84e5d634d3006a38)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 pom.xml                                       |  3 --
 project/SparkBuild.scala                      |  1 -
 .../datasources/orc/OrcEncryptionSuite.scala  | 35 ++++++++++++++++++-
 3 files changed, 34 insertions(+), 5 deletions(-)

diff --git a/pom.xml b/pom.xml
index 57bae938891d8..61780803afb57 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3046,7 +3046,6 @@
               <spark.ui.showConsoleProgress>false</spark.ui.showConsoleProgress>
               <spark.unsafe.exceptionOnMemoryLeak>true</spark.unsafe.exceptionOnMemoryLeak>
               <spark.memory.debugFill>true</spark.memory.debugFill>
-              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>src</test.src.tables>
               <hive.conf.validation>false</hive.conf.validation>
@@ -3103,8 +3102,6 @@
               <spark.test.docker.removePulledImage>${spark.test.docker.removePulledImage}</spark.test.docker.removePulledImage>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>__not_used__</test.src.tables>
-              <!--SPARK-42934: Need by `OrcEncryptionSuite` -->
-              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
             </systemProperties>
             <tagsToExclude>${test.exclude.tags},${test.default.exclude.tags}</tagsToExclude>
             <tagsToInclude>${test.include.tags}</tagsToInclude>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 25f04f7bff318..e8c52dc0aff3b 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1600,7 +1600,6 @@ object TestSettings {
     (Test / javaOptions) += "-Dspark.ui.enabled=false",
     (Test / javaOptions) += "-Dspark.ui.showConsoleProgress=false",
     (Test / javaOptions) += "-Dspark.unsafe.exceptionOnMemoryLeak=true",
-    (Test / javaOptions) += "-Dspark.hadoop.hadoop.security.key.provider.path=test:///",
     (Test / javaOptions) += "-Dhive.conf.validation=false",
     (Test / javaOptions) += "-Dsun.io.serialization.extendedDebugInfo=false",
     (Test / javaOptions) += "-Dderby.system.durability=test",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
index b7d29588f6bf4..a3ecbf07eccf5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
@@ -17,20 +17,53 @@
 
 package org.apache.spark.sql.execution.datasources.orc
 
+import java.lang.invoke.MethodHandles
+import java.util.{Map => JMap}
 import java.util.Random
 
-import org.apache.orc.impl.HadoopShimsFactory
+import scala.collection.mutable
 
+import org.apache.orc.impl.{CryptoUtils, HadoopShimsFactory, KeyProvider}
+
+import org.apache.spark.SparkConf
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.test.SharedSparkSession
 
 class OrcEncryptionSuite extends OrcTest with SharedSparkSession {
   import testImplicits._
 
+  override def sparkConf: SparkConf = {
+    super.sparkConf.set("spark.hadoop.hadoop.security.key.provider.path", "test:///")
+  }
+
+  override def beforeAll(): Unit = {
+    // Backup `CryptoUtils#keyProviderCache` and clear it.
+    keyProviderCacheRef.entrySet()
+      .forEach(e => keyProviderCacheBackup.put(e.getKey, e.getValue))
+    keyProviderCacheRef.clear()
+    super.beforeAll()
+  }
+
+  override def afterAll(): Unit = {
+    super.afterAll()
+    // Restore `CryptoUtils#keyProviderCache`.
+    keyProviderCacheRef.clear()
+    keyProviderCacheBackup.foreach { case (k, v) => keyProviderCacheRef.put(k, v) }
+  }
+
   val originalData = Seq(("123456789", "dongjoon@apache.org", "Dongjoon Hyun"))
   val rowDataWithoutKey =
     Row(null, "841626795E7D351555B835A002E3BF10669DE9B81C95A3D59E10865AC37EA7C3", "Dongjoon Hyun")
 
+  private val keyProviderCacheBackup: mutable.Map[String, KeyProvider] = mutable.Map.empty
+
+  private val keyProviderCacheRef: JMap[String, KeyProvider] = {
+    val clazz = classOf[CryptoUtils]
+    val lookup = MethodHandles.privateLookupIn(clazz, MethodHandles.lookup())
+    lookup.findStaticVarHandle(clazz, "keyProviderCache", classOf[JMap[_, _]])
+      .get().asInstanceOf[JMap[String, KeyProvider]]
+  }
+
   test("Write and read an encrypted file") {
     val conf = spark.sessionState.newHadoopConf()
     val provider = HadoopShimsFactory.get.getHadoopKeyProvider(conf, new Random)

From 36f9a4b783eec99b73a2453c1f220969d3de9e52 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Wed, 31 Jul 2024 16:10:30 -0700
Subject: [PATCH 788/986] Revert "[SPARK-49066][SQL][TESTS] Refactor
 `OrcEncryptionSuite` and make
 `spark.hadoop.hadoop.security.key.provider.path` effective only within
 `OrcEncryptionSuite`"

This reverts commit d23b70b84fa4ec2016171d6241a34f490b8aab06.
---
 pom.xml                                       |  3 ++
 project/SparkBuild.scala                      |  1 +
 .../datasources/orc/OrcEncryptionSuite.scala  | 35 +------------------
 3 files changed, 5 insertions(+), 34 deletions(-)

diff --git a/pom.xml b/pom.xml
index 61780803afb57..57bae938891d8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3046,6 +3046,7 @@
               <spark.ui.showConsoleProgress>false</spark.ui.showConsoleProgress>
               <spark.unsafe.exceptionOnMemoryLeak>true</spark.unsafe.exceptionOnMemoryLeak>
               <spark.memory.debugFill>true</spark.memory.debugFill>
+              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>src</test.src.tables>
               <hive.conf.validation>false</hive.conf.validation>
@@ -3102,6 +3103,8 @@
               <spark.test.docker.removePulledImage>${spark.test.docker.removePulledImage}</spark.test.docker.removePulledImage>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>__not_used__</test.src.tables>
+              <!--SPARK-42934: Need by `OrcEncryptionSuite` -->
+              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
             </systemProperties>
             <tagsToExclude>${test.exclude.tags},${test.default.exclude.tags}</tagsToExclude>
             <tagsToInclude>${test.include.tags}</tagsToInclude>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index e8c52dc0aff3b..25f04f7bff318 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1600,6 +1600,7 @@ object TestSettings {
     (Test / javaOptions) += "-Dspark.ui.enabled=false",
     (Test / javaOptions) += "-Dspark.ui.showConsoleProgress=false",
     (Test / javaOptions) += "-Dspark.unsafe.exceptionOnMemoryLeak=true",
+    (Test / javaOptions) += "-Dspark.hadoop.hadoop.security.key.provider.path=test:///",
     (Test / javaOptions) += "-Dhive.conf.validation=false",
     (Test / javaOptions) += "-Dsun.io.serialization.extendedDebugInfo=false",
     (Test / javaOptions) += "-Dderby.system.durability=test",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
index a3ecbf07eccf5..b7d29588f6bf4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
@@ -17,53 +17,20 @@
 
 package org.apache.spark.sql.execution.datasources.orc
 
-import java.lang.invoke.MethodHandles
-import java.util.{Map => JMap}
 import java.util.Random
 
-import scala.collection.mutable
+import org.apache.orc.impl.HadoopShimsFactory
 
-import org.apache.orc.impl.{CryptoUtils, HadoopShimsFactory, KeyProvider}
-
-import org.apache.spark.SparkConf
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.test.SharedSparkSession
 
 class OrcEncryptionSuite extends OrcTest with SharedSparkSession {
   import testImplicits._
 
-  override def sparkConf: SparkConf = {
-    super.sparkConf.set("spark.hadoop.hadoop.security.key.provider.path", "test:///")
-  }
-
-  override def beforeAll(): Unit = {
-    // Backup `CryptoUtils#keyProviderCache` and clear it.
-    keyProviderCacheRef.entrySet()
-      .forEach(e => keyProviderCacheBackup.put(e.getKey, e.getValue))
-    keyProviderCacheRef.clear()
-    super.beforeAll()
-  }
-
-  override def afterAll(): Unit = {
-    super.afterAll()
-    // Restore `CryptoUtils#keyProviderCache`.
-    keyProviderCacheRef.clear()
-    keyProviderCacheBackup.foreach { case (k, v) => keyProviderCacheRef.put(k, v) }
-  }
-
   val originalData = Seq(("123456789", "dongjoon@apache.org", "Dongjoon Hyun"))
   val rowDataWithoutKey =
     Row(null, "841626795E7D351555B835A002E3BF10669DE9B81C95A3D59E10865AC37EA7C3", "Dongjoon Hyun")
 
-  private val keyProviderCacheBackup: mutable.Map[String, KeyProvider] = mutable.Map.empty
-
-  private val keyProviderCacheRef: JMap[String, KeyProvider] = {
-    val clazz = classOf[CryptoUtils]
-    val lookup = MethodHandles.privateLookupIn(clazz, MethodHandles.lookup())
-    lookup.findStaticVarHandle(clazz, "keyProviderCache", classOf[JMap[_, _]])
-      .get().asInstanceOf[JMap[String, KeyProvider]]
-  }
-
   test("Write and read an encrypted file") {
     val conf = spark.sessionState.newHadoopConf()
     val provider = HadoopShimsFactory.get.getHadoopKeyProvider(conf, new Random)

From 94558f6f5ecd98e7ff9a6ee7cd5034a7e8bc63f8 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Thu, 1 Aug 2024 13:45:09 +0800
Subject: [PATCH 789/986] Revert "[SPARK-49000][SQL] Fix "select count(distinct
 1) from t" where t is empty table by expanding RewriteDistinctAggregates"

This reverts commit c6df890798862d0863afbfff8fca0ee4df70354f.
---
 .../optimizer/RewriteDistinctAggregates.scala |  13 +-
 .../spark/sql/DataFrameAggregateSuite.scala   | 114 ------------------
 2 files changed, 2 insertions(+), 125 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
index e91493188873e..da3cf782f6682 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
@@ -197,15 +197,6 @@ import org.apache.spark.util.collection.Utils
  * techniques.
  */
 object RewriteDistinctAggregates extends Rule[LogicalPlan] {
-  private def mustRewrite(
-      aggregateExpressions: Seq[AggregateExpression],
-      groupingExpressions: Seq[Expression]): Boolean = {
-    // If there are any AggregateExpressions with filter, we need to rewrite the query.
-    // Also, if there are no grouping expressions and all aggregate expressions are foldable,
-    // we need to rewrite the query, e.g. SELECT COUNT(DISTINCT 1).
-    aggregateExpressions.exists(_.filter.isDefined) || (groupingExpressions.isEmpty &&
-      aggregateExpressions.exists(_.aggregateFunction.children.forall(_.foldable)))
-  }
 
   private def mayNeedtoRewrite(a: Aggregate): Boolean = {
     val aggExpressions = collectAggregateExprs(a)
@@ -214,7 +205,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     // clause for this rule because aggregation strategy can handle a single distinct aggregate
     // group without filter clause.
     // This check can produce false-positives, e.g., SUM(DISTINCT a) & COUNT(DISTINCT a).
-    distinctAggs.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)
+    distinctAggs.size > 1 || distinctAggs.exists(_.filter.isDefined)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformUpWithPruning(
@@ -245,7 +236,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     }
 
     // Aggregation strategy can handle queries with a single distinct group without filter clause.
-    if (distinctAggGroups.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)) {
+    if (distinctAggGroups.size > 1 || distinctAggs.exists(_.filter.isDefined)) {
       // Create the attributes for the grouping id and the group by clause.
       val gid = AttributeReference("gid", IntegerType, nullable = false)()
       val groupByMap = a.groupingExpressions.collect {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index d8e3a046655f6..1ba3f6c84d0ad 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -24,7 +24,6 @@ import scala.util.Random
 import org.scalatest.matchers.must.Matchers.the
 
 import org.apache.spark.{SparkException, SparkThrowable}
-import org.apache.spark.sql.catalyst.plans.logical.Expand
 import org.apache.spark.sql.execution.WholeStageCodegenExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
@@ -2151,119 +2150,6 @@ class DataFrameAggregateSuite extends QueryTest
       checkAnswer(df, Row(1, 2, 2) :: Row(3, 1, 1) :: Nil)
     }
   }
-
-  test("aggregating with various distinct expressions") {
-    abstract class AggregateTestCaseBase(
-        val query: String,
-        val resultSeq: Seq[Seq[Row]],
-        val hasExpandNodeInPlan: Boolean)
-    case class AggregateTestCase(
-        override val query: String,
-        override val resultSeq: Seq[Seq[Row]],
-        override val hasExpandNodeInPlan: Boolean)
-      extends AggregateTestCaseBase(query, resultSeq, hasExpandNodeInPlan)
-    case class AggregateTestCaseDefault(
-        override val query: String)
-      extends AggregateTestCaseBase(
-        query,
-        Seq(Seq(Row(0)), Seq(Row(1)), Seq(Row(1))),
-        hasExpandNodeInPlan = true)
-
-    val t = "t"
-    val testCases: Seq[AggregateTestCaseBase] = Seq(
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT "col") FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"SELECT COUNT(DISTINCT 1) FROM $t"
-      ),
-      AggregateTestCaseDefault(
-        s"SELECT COUNT(DISTINCT 1 + 2) FROM $t"
-      ),
-      AggregateTestCaseDefault(
-        s"SELECT COUNT(DISTINCT 1, 2, 1 + 2) FROM $t"
-      ),
-      AggregateTestCase(
-        s"SELECT COUNT(1), COUNT(DISTINCT 1) FROM $t",
-        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(2, 1))),
-        hasExpandNodeInPlan = true
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT 1, "col") FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT collation("abc")) FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT current_date()) FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT array(1, 2)[1]) FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT map(1, 2)[1]) FROM $t"""
-      ),
-      AggregateTestCaseDefault(
-        s"""SELECT COUNT(DISTINCT struct(1, 2).col1) FROM $t"""
-      ),
-      AggregateTestCase(
-        s"SELECT COUNT(DISTINCT 1) FROM $t GROUP BY col",
-        Seq(Seq(), Seq(Row(1)), Seq(Row(1), Row(1))),
-        hasExpandNodeInPlan = false
-      ),
-      AggregateTestCaseDefault(
-        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 1"
-      ),
-      AggregateTestCase(
-        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 0",
-        Seq(Seq(Row(0)), Seq(Row(0)), Seq(Row(0))),
-        hasExpandNodeInPlan = false
-      ),
-      AggregateTestCase(
-        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
-        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
-        hasExpandNodeInPlan = false
-      ),
-      AggregateTestCase(
-        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(1) FROM $t)",
-        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
-        hasExpandNodeInPlan = false
-      ),
-      AggregateTestCase(
-        s"SELECT SUM(1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
-        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
-        hasExpandNodeInPlan = false
-      ),
-      AggregateTestCaseDefault(
-        s"SELECT SUM(x) FROM (SELECT COUNT(DISTINCT 1) AS x FROM $t)"),
-      AggregateTestCase(
-        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT "col") FROM $t""",
-        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 1))),
-        hasExpandNodeInPlan = true
-      ),
-      AggregateTestCase(
-        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT col) FROM $t""",
-        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 2))),
-        hasExpandNodeInPlan = true
-      )
-    )
-    withTable(t) {
-      sql(s"create table $t(col int) using parquet")
-      Seq(0, 1, 2).foreach(columnValue => {
-        if (columnValue != 0) {
-          sql(s"insert into $t(col) values($columnValue)")
-        }
-        testCases.foreach(testCase => {
-          val query = sql(testCase.query)
-          checkAnswer(query, testCase.resultSeq(columnValue))
-          val hasExpandNodeInPlan = query.queryExecution.optimizedPlan.collectFirst {
-            case _: Expand => true
-          }.nonEmpty
-          assert(hasExpandNodeInPlan == testCase.hasExpandNodeInPlan)
-        })
-      })
-    }
-  }
 }
 
 case class B(c: Option[Double])

From a1e7fb18d0c4c4d51e2a5f5b050f528a045960d8 Mon Sep 17 00:00:00 2001
From: Sumeet Varma <sumeet.varma@databricks.com>
Date: Thu, 1 Aug 2024 22:29:08 +0800
Subject: [PATCH 790/986] [SPARK-49065][SQL] Rebasing in legacy
 formatters/parsers must support non JVM default time zones

### What changes were proposed in this pull request?

Explicitly pass the overridden timezone parameter to `rebaseJulianToGregorianMicros` and `rebaseGregorianToJulianMicros`.

### Why are the changes needed?

Currently, rebasing timestamp defaults to JVM timezone and so it produces incorrect results when the explicitly over-riden timezone in the TimestampFormatter library is not the same as JVM timezone.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
New UT to capture this scenario

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47541 from sumeet-db/rebase_time_zone.

Authored-by: Sumeet Varma <sumeet.varma@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 63c08632f2d6e559bc6a8396e646389e5402c757)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/util/SparkDateTimeUtils.scala    |  6 ++++
 .../catalyst/util/TimestampFormatter.scala    | 12 +++----
 .../util/TimestampFormatterSuite.scala        | 34 +++++++++++++++++++
 3 files changed, 46 insertions(+), 6 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
index 698e7b37a9ef0..980eee9390d09 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/SparkDateTimeUtils.scala
@@ -237,6 +237,9 @@ trait SparkDateTimeUtils {
   def toJavaTimestamp(micros: Long): Timestamp =
     toJavaTimestampNoRebase(rebaseGregorianToJulianMicros(micros))
 
+  def toJavaTimestamp(timeZoneId: String, micros: Long): Timestamp =
+    toJavaTimestampNoRebase(rebaseGregorianToJulianMicros(timeZoneId, micros))
+
   /**
    * Converts microseconds since the epoch to an instance of `java.sql.Timestamp`.
    *
@@ -273,6 +276,9 @@ trait SparkDateTimeUtils {
   def fromJavaTimestamp(t: Timestamp): Long =
     rebaseJulianToGregorianMicros(fromJavaTimestampNoRebase(t))
 
+  def fromJavaTimestamp(timeZoneId: String, t: Timestamp): Long =
+    rebaseJulianToGregorianMicros(timeZoneId, fromJavaTimestampNoRebase(t))
+
   /**
    * Converts an instance of `java.sql.Timestamp` to the number of microseconds since
    * 1970-01-01T00:00:00.000000Z.
diff --git a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
index 0866cee9334c5..07b32af5c85e8 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala
@@ -429,11 +429,11 @@ class LegacyFastTimestampFormatter(
     val micros = cal.getMicros()
     cal.set(Calendar.MILLISECOND, 0)
     val julianMicros = Math.addExact(millisToMicros(cal.getTimeInMillis), micros)
-    rebaseJulianToGregorianMicros(julianMicros)
+    rebaseJulianToGregorianMicros(TimeZone.getTimeZone(zoneId), julianMicros)
   }
 
   override def format(timestamp: Long): String = {
-    val julianMicros = rebaseGregorianToJulianMicros(timestamp)
+    val julianMicros = rebaseGregorianToJulianMicros(TimeZone.getTimeZone(zoneId), timestamp)
     cal.setTimeInMillis(Math.floorDiv(julianMicros, MICROS_PER_SECOND) * MILLIS_PER_SECOND)
     cal.setMicros(Math.floorMod(julianMicros, MICROS_PER_SECOND))
     fastDateFormat.format(cal)
@@ -443,7 +443,7 @@ class LegacyFastTimestampFormatter(
     if (ts.getNanos == 0) {
       fastDateFormat.format(ts)
     } else {
-      format(fromJavaTimestamp(ts))
+      format(fromJavaTimestamp(zoneId.getId, ts))
     }
   }
 
@@ -467,7 +467,7 @@ class LegacySimpleTimestampFormatter(
   }
 
   override def parse(s: String): Long = {
-    fromJavaTimestamp(new Timestamp(sdf.parse(s).getTime))
+    fromJavaTimestamp(zoneId.getId, new Timestamp(sdf.parse(s).getTime))
   }
 
   override def parseOptional(s: String): Option[Long] = {
@@ -475,12 +475,12 @@ class LegacySimpleTimestampFormatter(
     if (date == null) {
       None
     } else {
-      Some(fromJavaTimestamp(new Timestamp(date.getTime)))
+      Some(fromJavaTimestamp(zoneId.getId, new Timestamp(date.getTime)))
     }
   }
 
   override def format(us: Long): String = {
-    sdf.format(toJavaTimestamp(us))
+    sdf.format(toJavaTimestamp(zoneId.getId, us))
   }
 
   override def format(ts: Timestamp): String = {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
index 27d60815766dc..8ff6c7b2ad705 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/TimestampFormatterSuite.scala
@@ -297,6 +297,40 @@ class TimestampFormatterSuite extends DatetimeFormatterSuite {
     }
   }
 
+  test("SPARK-49065: rebasing in legacy formatters/parsers with non-default time zone") {
+    val defaultTimeZone = LA
+    withSQLConf(SQLConf.LEGACY_TIME_PARSER_POLICY.key -> LegacyBehaviorPolicy.LEGACY.toString) {
+      outstandingZoneIds.foreach { zoneId =>
+        withSQLConf(SQLConf.SESSION_LOCAL_TIMEZONE.key -> defaultTimeZone.getId) {
+          withDefaultTimeZone(defaultTimeZone) {
+            withClue(s"zoneId = ${zoneId.getId}") {
+              val formatters = LegacyDateFormats.values.toSeq.map { legacyFormat =>
+                TimestampFormatter(
+                  TimestampFormatter.defaultPattern(),
+                  zoneId,
+                  TimestampFormatter.defaultLocale,
+                  legacyFormat,
+                  isParsing = false)
+              } :+ TimestampFormatter.getFractionFormatter(zoneId)
+              formatters.foreach { formatter =>
+                assert(microsToInstant(formatter.parse("1000-01-01 01:02:03"))
+                  .atZone(zoneId)
+                  .toLocalDateTime === LocalDateTime.of(1000, 1, 1, 1, 2, 3))
+
+                assert(formatter.format(
+                  LocalDateTime.of(1000, 1, 1, 1, 2, 3).atZone(zoneId).toInstant) ===
+                  "1000-01-01 01:02:03")
+                assert(formatter.format(instantToMicros(
+                  LocalDateTime.of(1000, 1, 1, 1, 2, 3)
+                    .atZone(zoneId).toInstant)) === "1000-01-01 01:02:03")
+              }
+            }
+          }
+        }
+      }
+    }
+  }
+
   test("parsing hour with various patterns") {
     def createFormatter(pattern: String): TimestampFormatter = {
       // Use `SIMPLE_DATE_FORMAT`, so that the legacy parser also fails with invalid value range.

From 4f9dbc33627e956a83e757211a73a6895103d264 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Thu, 1 Aug 2024 12:22:44 -0700
Subject: [PATCH 791/986] [SPARK-49066][SQL][TESTS][3.5] Refactor
 `OrcEncryptionSuite` and make
 `spark.hadoop.hadoop.security.key.provider.path` effective only within
 `OrcEncryptionSuite`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This pr moves the global scope test configuration `spark.hadoop.hadoop.security.key.provider.path`, which is configured in the parent `pom.xml` and `SparkBuild.scala`, to `OrcEncryptionSuite` to ensure that it is effective only within `OrcEncryptionSuite`.

To achieve this, the pr also refactors `OrcEncryptionSuite`:
1. Overrides `beforeAll` to back up the contents of `CryptoUtils#keyProviderCache`.
2. Overrides `afterAll` to restore the contents of `CryptoUtils#keyProviderCache`.

This ensures that `CryptoUtils#keyProviderCache` is isolated during the test process of `OrcEncryptionSuite`.

### Why are the changes needed?
The test configuration `spark.hadoop.hadoop.security.key.provider.path` in the parent `pom.xml` and `SparkBuild.scala` is effective globally, which leads to the possibility that other Orc writing test cases, besides `OrcEncryptionSuite`, might also be affected by this configuration and use `test.org.apache.spark.sql.execution.datasources.orc.FakeKeyProvider.Factory`。

### Does this PR introduce _any_ user-facing change?
No, just for test.

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47561 from LuciferYang/SPARK-49066-3.5.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 pom.xml                                       |  3 --
 project/SparkBuild.scala                      |  1 -
 .../datasources/orc/OrcEncryptionSuite.scala  | 34 ++++++++++++++++++-
 3 files changed, 33 insertions(+), 5 deletions(-)

diff --git a/pom.xml b/pom.xml
index 57bae938891d8..61780803afb57 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3046,7 +3046,6 @@
               <spark.ui.showConsoleProgress>false</spark.ui.showConsoleProgress>
               <spark.unsafe.exceptionOnMemoryLeak>true</spark.unsafe.exceptionOnMemoryLeak>
               <spark.memory.debugFill>true</spark.memory.debugFill>
-              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>src</test.src.tables>
               <hive.conf.validation>false</hive.conf.validation>
@@ -3103,8 +3102,6 @@
               <spark.test.docker.removePulledImage>${spark.test.docker.removePulledImage}</spark.test.docker.removePulledImage>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>__not_used__</test.src.tables>
-              <!--SPARK-42934: Need by `OrcEncryptionSuite` -->
-              <spark.hadoop.hadoop.security.key.provider.path>test:///</spark.hadoop.hadoop.security.key.provider.path>
             </systemProperties>
             <tagsToExclude>${test.exclude.tags},${test.default.exclude.tags}</tagsToExclude>
             <tagsToInclude>${test.include.tags}</tagsToInclude>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 25f04f7bff318..e8c52dc0aff3b 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1600,7 +1600,6 @@ object TestSettings {
     (Test / javaOptions) += "-Dspark.ui.enabled=false",
     (Test / javaOptions) += "-Dspark.ui.showConsoleProgress=false",
     (Test / javaOptions) += "-Dspark.unsafe.exceptionOnMemoryLeak=true",
-    (Test / javaOptions) += "-Dspark.hadoop.hadoop.security.key.provider.path=test:///",
     (Test / javaOptions) += "-Dhive.conf.validation=false",
     (Test / javaOptions) += "-Dsun.io.serialization.extendedDebugInfo=false",
     (Test / javaOptions) += "-Dderby.system.durability=test",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
index b7d29588f6bf4..575f230729ebd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcEncryptionSuite.scala
@@ -17,20 +17,52 @@
 
 package org.apache.spark.sql.execution.datasources.orc
 
+import java.util.{Map => JMap}
 import java.util.Random
 
-import org.apache.orc.impl.HadoopShimsFactory
+import scala.collection.mutable
 
+import org.apache.orc.impl.{CryptoUtils, HadoopShimsFactory, KeyProvider}
+
+import org.apache.spark.SparkConf
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.test.SharedSparkSession
 
 class OrcEncryptionSuite extends OrcTest with SharedSparkSession {
   import testImplicits._
 
+  override def sparkConf: SparkConf = {
+    super.sparkConf.set("spark.hadoop.hadoop.security.key.provider.path", "test:///")
+  }
+
+  override def beforeAll(): Unit = {
+    // Backup `CryptoUtils#keyProviderCache` and clear it.
+    keyProviderCacheRef.entrySet()
+      .forEach(e => keyProviderCacheBackup.put(e.getKey, e.getValue))
+    keyProviderCacheRef.clear()
+    super.beforeAll()
+  }
+
+  override def afterAll(): Unit = {
+    super.afterAll()
+    // Restore `CryptoUtils#keyProviderCache`.
+    keyProviderCacheRef.clear()
+    keyProviderCacheBackup.foreach { case (k, v) => keyProviderCacheRef.put(k, v) }
+  }
+
   val originalData = Seq(("123456789", "dongjoon@apache.org", "Dongjoon Hyun"))
   val rowDataWithoutKey =
     Row(null, "841626795E7D351555B835A002E3BF10669DE9B81C95A3D59E10865AC37EA7C3", "Dongjoon Hyun")
 
+  private val keyProviderCacheBackup: mutable.Map[String, KeyProvider] = mutable.Map.empty
+
+  private val keyProviderCacheRef: JMap[String, KeyProvider] = {
+    val clazz = classOf[CryptoUtils]
+    val field = clazz.getDeclaredField("keyProviderCache")
+    field.setAccessible(true)
+    field.get(null).asInstanceOf[JMap[String, KeyProvider]]
+  }
+
   test("Write and read an encrypted file") {
     val conf = spark.sessionState.newHadoopConf()
     val provider = HadoopShimsFactory.get.getHadoopKeyProvider(conf, new Random)

From 0008bd1df41aabb155af6f38f4fc491b06d9f314 Mon Sep 17 00:00:00 2001
From: Uros Bojanic <157381213+uros-db@users.noreply.github.com>
Date: Fri, 2 Aug 2024 22:28:07 +0800
Subject: [PATCH 792/986] [SPARK-49000][SQL][3.5] Fix "select count(distinct 1)
 from t" where t is empty table by expanding RewriteDistinctAggregates

### What changes were proposed in this pull request?
Fix `RewriteDistinctAggregates` rule to deal properly with aggregation on DISTINCT literals. Physical plan for `select count(distinct 1) from t`:

```
-- count(distinct 1)
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- HashAggregate(keys=[], functions=[count(distinct 1)], output=[count(DISTINCT 1)#2L])
   +- HashAggregate(keys=[], functions=[partial_count(distinct 1)], output=[count#6L])
      +- HashAggregate(keys=[], functions=[], output=[])
         +- Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=20]
            +- HashAggregate(keys=[], functions=[], output=[])
               +- FileScan parquet spark_catalog.default.t[] Batched: false, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/Users/nikola.mandic/oss-spark/spark-warehouse/org.apache.spark.s..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>
```

Problem is happening when `HashAggregate(keys=[], functions=[], output=[])` node yields one row to `partial_count` node, which then captures one row. This four-node structure is constructed by `AggUtils.planAggregateWithOneDistinct`.

To fix the problem, we're adding `Expand` node which will force non-empty grouping expressions in `HashAggregateExec` nodes. This will in turn enable streaming zero rows to parent `partial_count` node, yielding correct final result.

### Why are the changes needed?
Aggregation with DISTINCT literal gives wrong results. For example, when running on empty table `t`:
`select count(distinct 1) from t` returns 1, while the correct result should be 0.
For reference:
`select count(1) from t` returns 0, which is the correct and expected result.

### Does this PR introduce _any_ user-facing change?
Yes, this fixes a critical bug in Spark.

### How was this patch tested?
New e2e SQL tests for aggregates with DISTINCT literals.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47566 from uros-db/SPARK-49000-3.5.

Authored-by: Uros Bojanic <157381213+uros-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../optimizer/RewriteDistinctAggregates.scala |  16 ++-
 .../spark/sql/DataFrameAggregateSuite.scala   | 111 ++++++++++++++++++
 2 files changed, 124 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
index da3cf782f6682..801bd2693af42 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
@@ -197,6 +197,17 @@ import org.apache.spark.util.collection.Utils
  * techniques.
  */
 object RewriteDistinctAggregates extends Rule[LogicalPlan] {
+  private def mustRewrite(
+      distinctAggs: Seq[AggregateExpression],
+      groupingExpressions: Seq[Expression]): Boolean = {
+    // If there are any distinct AggregateExpressions with filter, we need to rewrite the query.
+    // Also, if there are no grouping expressions and all distinct aggregate expressions are
+    // foldable, we need to rewrite the query, e.g. SELECT COUNT(DISTINCT 1). Without this case,
+    // non-grouping aggregation queries with distinct aggregate expressions will be incorrectly
+    // handled by the aggregation strategy, causing wrong results when working with empty tables.
+    distinctAggs.exists(_.filter.isDefined) || (groupingExpressions.isEmpty &&
+      distinctAggs.exists(_.aggregateFunction.children.forall(_.foldable)))
+  }
 
   private def mayNeedtoRewrite(a: Aggregate): Boolean = {
     val aggExpressions = collectAggregateExprs(a)
@@ -204,8 +215,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     // We need at least two distinct aggregates or the single distinct aggregate group exists filter
     // clause for this rule because aggregation strategy can handle a single distinct aggregate
     // group without filter clause.
-    // This check can produce false-positives, e.g., SUM(DISTINCT a) & COUNT(DISTINCT a).
-    distinctAggs.size > 1 || distinctAggs.exists(_.filter.isDefined)
+    distinctAggs.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformUpWithPruning(
@@ -236,7 +246,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
     }
 
     // Aggregation strategy can handle queries with a single distinct group without filter clause.
-    if (distinctAggGroups.size > 1 || distinctAggs.exists(_.filter.isDefined)) {
+    if (distinctAggGroups.size > 1 || mustRewrite(distinctAggs, a.groupingExpressions)) {
       // Create the attributes for the grouping id and the group by clause.
       val gid = AttributeReference("gid", IntegerType, nullable = false)()
       val groupByMap = a.groupingExpressions.collect {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 1ba3f6c84d0ad..764b7a9719d29 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -24,6 +24,7 @@ import scala.util.Random
 import org.scalatest.matchers.must.Matchers.the
 
 import org.apache.spark.{SparkException, SparkThrowable}
+import org.apache.spark.sql.catalyst.plans.logical.Expand
 import org.apache.spark.sql.execution.WholeStageCodegenExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
@@ -2150,6 +2151,116 @@ class DataFrameAggregateSuite extends QueryTest
       checkAnswer(df, Row(1, 2, 2) :: Row(3, 1, 1) :: Nil)
     }
   }
+
+  test("aggregating with various distinct expressions") {
+    abstract class AggregateTestCaseBase(
+        val query: String,
+        val resultSeq: Seq[Seq[Row]],
+        val hasExpandNodeInPlan: Boolean)
+    case class AggregateTestCase(
+        override val query: String,
+        override val resultSeq: Seq[Seq[Row]],
+        override val hasExpandNodeInPlan: Boolean)
+      extends AggregateTestCaseBase(query, resultSeq, hasExpandNodeInPlan)
+    case class AggregateTestCaseDefault(
+        override val query: String)
+      extends AggregateTestCaseBase(
+        query,
+        Seq(Seq(Row(0)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = true)
+
+    val t = "t"
+    val testCases: Seq[AggregateTestCaseBase] = Seq(
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT "col") FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1) FROM $t"
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1 + 2) FROM $t"
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1, 2, 1 + 2) FROM $t"
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(1), COUNT(DISTINCT 1) FROM $t",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(2, 1))),
+        hasExpandNodeInPlan = true
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT 1, "col") FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT current_date()) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT array(1, 2)[1]) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT map(1, 2)[1]) FROM $t"""
+      ),
+      AggregateTestCaseDefault(
+        s"""SELECT COUNT(DISTINCT struct(1, 2).col1) FROM $t"""
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(DISTINCT 1) FROM $t GROUP BY col",
+        Seq(Seq(), Seq(Row(1)), Seq(Row(1), Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 1"
+      ),
+      AggregateTestCase(
+        s"SELECT COUNT(DISTINCT 1) FROM $t WHERE 1 = 0",
+        Seq(Seq(Row(0)), Seq(Row(0)), Seq(Row(0))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(DISTINCT 1) FROM (SELECT COUNT(1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCase(
+        s"SELECT SUM(1) FROM (SELECT COUNT(DISTINCT 1) FROM $t)",
+        Seq(Seq(Row(1)), Seq(Row(1)), Seq(Row(1))),
+        hasExpandNodeInPlan = false
+      ),
+      AggregateTestCaseDefault(
+        s"SELECT SUM(x) FROM (SELECT COUNT(DISTINCT 1) AS x FROM $t)"),
+      AggregateTestCase(
+        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT "col") FROM $t""",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 1))),
+        hasExpandNodeInPlan = true
+      ),
+      AggregateTestCase(
+        s"""SELECT COUNT(DISTINCT 1), COUNT(DISTINCT col) FROM $t""",
+        Seq(Seq(Row(0, 0)), Seq(Row(1, 1)), Seq(Row(1, 2))),
+        hasExpandNodeInPlan = true
+      )
+    )
+    withTable(t) {
+      sql(s"create table $t(col int) using parquet")
+      Seq(0, 1, 2).foreach(columnValue => {
+        if (columnValue != 0) {
+          sql(s"insert into $t(col) values($columnValue)")
+        }
+        testCases.foreach(testCase => {
+          val query = sql(testCase.query)
+          checkAnswer(query, testCase.resultSeq(columnValue))
+          val hasExpandNodeInPlan = query.queryExecution.optimizedPlan.collectFirst {
+            case _: Expand => true
+          }.nonEmpty
+          assert(hasExpandNodeInPlan == testCase.hasExpandNodeInPlan)
+        })
+      })
+    }
+  }
 }
 
 case class B(c: Option[Double])

From 98eaaa50c63bae0f28a75b79523025ddfd8ee4b6 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 2 Aug 2024 17:56:48 -0700
Subject: [PATCH 793/986] [SPARK-49094][SQL] Fix ignoreCorruptFiles
 non-functioning for hive orc impl with mergeSchema off

### What changes were proposed in this pull request?

ignoreCorruptFiles now applies to all file data sources except for hive orc implementation with mergeSchema off

### Why are the changes needed?

bugfix

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new tests

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #47583 from yaooqinn/SPARK-49094.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 6631abc2f170b5bd79ba918d36e7ef9db3e8e7d4)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/sql/hive/orc/OrcFileFormat.scala    |  6 +++---
 .../sql/hive/orc/HiveOrcQuerySuite.scala      | 19 +++++++++++++++++++
 2 files changed, 22 insertions(+), 3 deletions(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileFormat.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileFormat.scala
index a9314397dcf67..6a0b9686ffce1 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileFormat.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileFormat.scala
@@ -71,11 +71,10 @@ class OrcFileFormat extends FileFormat with DataSourceRegister with Serializable
       SchemaMergeUtils.mergeSchemasInParallel(
         sparkSession, options, files, OrcFileOperator.readOrcSchemasInParallel)
     } else {
-      val ignoreCorruptFiles = sparkSession.sessionState.conf.ignoreCorruptFiles
       OrcFileOperator.readSchema(
         files.map(_.getPath.toString),
         Some(sparkSession.sessionState.newHadoopConfWithOptions(options)),
-        ignoreCorruptFiles
+        orcOptions.ignoreCorruptFiles
       )
     }
   }
@@ -146,7 +145,8 @@ class OrcFileFormat extends FileFormat with DataSourceRegister with Serializable
 
     val broadcastedHadoopConf =
       sparkSession.sparkContext.broadcast(new SerializableConfiguration(hadoopConf))
-    val ignoreCorruptFiles = sparkSession.sessionState.conf.ignoreCorruptFiles
+    val ignoreCorruptFiles =
+      new OrcOptions(options, sparkSession.sessionState.conf).ignoreCorruptFiles
 
     (file: PartitionedFile) => {
       val conf = broadcastedHadoopConf.value.value
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcQuerySuite.scala
index e52d9b639dc4f..ccf1d3df83efe 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcQuerySuite.scala
@@ -381,4 +381,23 @@ class HiveOrcQuerySuite extends OrcQueryTest with TestHiveSingleton {
       }
     }
   }
+
+  test("SPARK-49094: ignoreCorruptFiles works for hive orc w/ mergeSchema off") {
+    withTempDir { dir =>
+      val basePath = dir.getCanonicalPath
+      spark.range(0, 1).toDF("a").write.orc(new Path(basePath, "foo=1").toString)
+      spark.range(0, 1).toDF("b").write.json(new Path(basePath, "foo=2").toString)
+
+      withSQLConf(
+        SQLConf.IGNORE_CORRUPT_FILES.key -> "false",
+        SQLConf.ORC_IMPLEMENTATION.key -> "hive") {
+        Seq(true, false).foreach { mergeSchema =>
+          checkAnswer(spark.read
+            .option("mergeSchema", value = mergeSchema)
+            .option("ignoreCorruptFiles", value = true)
+            .orc(basePath), Row(0L, 1))
+        }
+      }
+    }
+  }
 }

From b33a3ee7190ef907813ff67c6d05aa1e3082b210 Mon Sep 17 00:00:00 2001
From: Yi Wu <yi.wu@databricks.com>
Date: Mon, 5 Aug 2024 10:08:44 -0700
Subject: [PATCH 794/986] [SPARK-48791][CORE][FOLLOW-UP][3.5] Fix regression
 caused by immutable conversion on TaskMetrics#externalAccums

This PR backports https://github.com/apache/spark/pull/47578 to branch-3.5.

### What changes were proposed in this pull request?

This is a followup fix for https://github.com/apache/spark/pull/47197. We found that the perf regression still exists after that fix and located the culprit is the immutable conversion on `TaskMetrics#externalAccums`. This PR fixes it by avoiding the immutable conversion, and then enforce the read lock protection during the accessing on `TaskMetrics#externalAccums` to avoid the race issue (https://github.com/apache/spark/pull/40663).

### Why are the changes needed?

Fix perf regression.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Covered by existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47612 from Ngone51/SPARK-48791-followup-3.5.

Authored-by: Yi Wu <yi.wu@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/util/ArrayImplicits.scala    | 35 -------------------
 .../apache/spark/executor/TaskMetrics.scala   | 19 +++++++---
 .../org/apache/spark/scheduler/Task.scala     |  2 +-
 .../SpecificParquetRecordReaderBase.java      | 15 ++++----
 .../execution/ui/SQLAppStatusListener.scala   |  4 +--
 .../metric/SQLMetricsTestUtils.scala          |  4 +--
 6 files changed, 28 insertions(+), 51 deletions(-)
 delete mode 100644 core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala

diff --git a/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala b/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala
deleted file mode 100644
index 82c6c75bd51a9..0000000000000
--- a/core/src/main/scala-2.12/org/apache/spark/util/ArrayImplicits.scala
+++ /dev/null
@@ -1,35 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.util
-
-import scala.collection.compat.immutable
-
-/**
- * Implicit methods related to Scala Array.
- */
-private[spark] object ArrayImplicits {
-
-  implicit class SparkArrayOps[T](xs: Array[T]) {
-
-    /**
-     * Wraps an Array[T] as an immutable.ArraySeq[T] without copying.
-     */
-    def toImmutableArraySeq: immutable.ArraySeq[T] =
-      immutable.ArraySeq.unsafeWrapArray(xs)
-  }
-}
diff --git a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
index 468969b8d3322..e88b70eb655c5 100644
--- a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
+++ b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -29,8 +29,6 @@ import org.apache.spark.internal.config.Tests.IS_TESTING
 import org.apache.spark.scheduler.AccumulableInfo
 import org.apache.spark.storage.{BlockId, BlockStatus}
 import org.apache.spark.util._
-import org.apache.spark.util.ArrayImplicits._
-
 
 /**
  * :: DeveloperApi ::
@@ -272,8 +270,17 @@ class TaskMetrics private[spark] () extends Serializable {
    */
   @transient private[spark] lazy val _externalAccums = new ArrayBuffer[AccumulatorV2[_, _]]
 
-  private[spark] def externalAccums: Seq[AccumulatorV2[_, _]] = withReadLock {
-    _externalAccums.toArray.toImmutableArraySeq
+  /**
+   * Perform an `op` conversion on the `_externalAccums` within the read lock.
+   *
+   * Note `op` is expected to not modify the `_externalAccums` and not being
+   * lazy evaluation for safe concern since `ArrayBuffer` is lazily evaluated.
+   * And we intentionally keeps `_externalAccums` as mutable instead of converting
+   * it to immutable for the performance concern.
+   */
+  private[spark] def withExternalAccums[T](op: ArrayBuffer[AccumulatorV2[_, _]] => T)
+    : T = withReadLock {
+    op(_externalAccums)
   }
 
   private def withReadLock[B](fn: => B): B = {
@@ -298,7 +305,9 @@ class TaskMetrics private[spark] () extends Serializable {
     _externalAccums += a
   }
 
-  private[spark] def accumulators(): Seq[AccumulatorV2[_, _]] = internalAccums ++ externalAccums
+  private[spark] def accumulators(): Seq[AccumulatorV2[_, _]] = withReadLock {
+    internalAccums ++ _externalAccums
+  }
 
   private[spark] def nonZeroInternalAccums(): Seq[AccumulatorV2[_, _]] = {
     // RESULT_SIZE accumulator is always zero at executor, we need to send it back as its
diff --git a/core/src/main/scala/org/apache/spark/scheduler/Task.scala b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
index 39667ea2364db..69ef094417b68 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/Task.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
@@ -210,7 +210,7 @@ private[spark] abstract class Task[T](
       context.taskMetrics.nonZeroInternalAccums() ++
         // zero value external accumulators may still be useful, e.g. SQLMetrics, we should not
         // filter them out.
-        context.taskMetrics.externalAccums.filter(a => !taskFailed || a.countFailedValues)
+        context.taskMetrics.withExternalAccums(_.filter(a => !taskFailed || a.countFailedValues))
     } else {
       Seq.empty
     }
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
index 4f2b65f36120a..7dfea3d980c55 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
@@ -140,12 +140,15 @@ public void initialize(
     // in test case.
     TaskContext taskContext = TaskContext$.MODULE$.get();
     if (taskContext != null) {
-      Option<AccumulatorV2<?, ?>> accu = taskContext.taskMetrics().externalAccums().lastOption();
-      if (accu.isDefined() && accu.get().getClass().getSimpleName().equals("NumRowGroupsAcc")) {
-        @SuppressWarnings("unchecked")
-        AccumulatorV2<Integer, Integer> intAccum = (AccumulatorV2<Integer, Integer>) accu.get();
-        intAccum.add(fileReader.getRowGroups().size());
-      }
+      taskContext.taskMetrics().withExternalAccums((accums) -> {
+        Option<AccumulatorV2<?, ?>> accu = accums.lastOption();
+        if (accu.isDefined() && accu.get().getClass().getSimpleName().equals("NumRowGroupsAcc")) {
+          @SuppressWarnings("unchecked")
+          AccumulatorV2<Integer, Integer> intAccum = (AccumulatorV2<Integer, Integer>) accu.get();
+          intAccum.add(fileReader.getRowGroups().size());
+        }
+        return null;
+      });
     }
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
index 3fafc399dd828..067f7305ab113 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
@@ -178,14 +178,14 @@ class SQLAppStatusListener(
     // work around a race in the DAGScheduler. The metrics info does not contain accumulator info
     // when reading event logs in the SHS, so we have to rely on the accumulator in that case.
     val accums = if (live && event.taskMetrics != null) {
-      event.taskMetrics.externalAccums.flatMap { a =>
+      event.taskMetrics.withExternalAccums(_.flatMap { a =>
         // This call may fail if the accumulator is gc'ed, so account for that.
         try {
           Some(a.toInfo(Some(a.value), None))
         } catch {
           case _: IllegalAccessError => None
         }
-      }
+      })
     } else {
       info.accumulables
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
index 81667d52e16ae..46dc84c0582f8 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
@@ -311,7 +311,7 @@ object InputOutputMetricsHelper {
       res.shuffleRecordsRead += taskEnd.taskMetrics.shuffleReadMetrics.recordsRead
 
       var maxOutputRows = 0L
-      for (accum <- taskEnd.taskMetrics.externalAccums) {
+      taskEnd.taskMetrics.withExternalAccums(_.foreach { accum =>
         val info = accum.toInfo(Some(accum.value), None)
         if (info.name.toString.contains("number of output rows")) {
           info.update match {
@@ -322,7 +322,7 @@ object InputOutputMetricsHelper {
             case _ => // Ignore.
           }
         }
-      }
+      })
       res.sumMaxOutputRows += maxOutputRows
     }
   }

From f2e2601925425a65f9a20a0aa03966d8c81f6466 Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Tue, 6 Aug 2024 16:50:26 +0800
Subject: [PATCH 795/986] [SPARK-49099][SQL] CatalogManager.setCurrentNamespace
 should respect custom session catalog

Refactor CatalogManager.setCurrentNamespace so it unifies the handling of `SupportsNamespaces` and SessionCatalog, thus it can respect custom session catalog.

This is a bug.

CatalogManager.setCurrentNamespace should respect custom session catalog. Without this PR, a custom session catalog won't work as Spark uses `spark_catalog` to see if the catalog is session log and then directly call V1SessionCatalog.

No

UT

No

Closes #47592 from amaliujia/refactor_setCurrentNamespace.

Lead-authored-by: Rui Wang <rui.wang@databricks.com>
Co-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../sql/catalyst/analysis/Analyzer.scala      | 18 +++++++++++--
 .../sql/catalyst/catalog/SessionCatalog.scala |  6 ++++-
 .../connector/catalog/CatalogManager.scala    | 27 ++++++++++++++-----
 .../analysis/LookupFunctionsSuite.scala       |  2 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  |  9 ++++++-
 .../apache/spark/sql/test/SQLTestUtils.scala  |  5 ++--
 .../apache/spark/sql/hive/test/TestHive.scala |  1 +
 7 files changed, 54 insertions(+), 14 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 4388740a409d9..bd917fd73e20a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -23,6 +23,7 @@ import java.util.concurrent.atomic.AtomicBoolean
 
 import scala.collection.mutable
 import scala.collection.mutable.ArrayBuffer
+import scala.jdk.CollectionConverters._
 import scala.util.{Failure, Random, Success, Try}
 
 import org.apache.spark.sql.AnalysisException
@@ -78,7 +79,7 @@ object SimpleAnalyzer extends Analyzer(
   override def resolver: Resolver = caseSensitiveResolution
 }
 
-object FakeV2SessionCatalog extends TableCatalog with FunctionCatalog {
+object FakeV2SessionCatalog extends TableCatalog with FunctionCatalog with SupportsNamespaces {
   private def fail() = throw new UnsupportedOperationException
   override def listTables(namespace: Array[String]): Array[Identifier] = fail()
   override def loadTable(ident: Identifier): Table = {
@@ -92,10 +93,23 @@ object FakeV2SessionCatalog extends TableCatalog with FunctionCatalog {
   override def alterTable(ident: Identifier, changes: TableChange*): Table = fail()
   override def dropTable(ident: Identifier): Boolean = fail()
   override def renameTable(oldIdent: Identifier, newIdent: Identifier): Unit = fail()
-  override def initialize(name: String, options: CaseInsensitiveStringMap): Unit = fail()
+  override def initialize(name: String, options: CaseInsensitiveStringMap): Unit = {}
   override def name(): String = CatalogManager.SESSION_CATALOG_NAME
   override def listFunctions(namespace: Array[String]): Array[Identifier] = fail()
   override def loadFunction(ident: Identifier): UnboundFunction = fail()
+  override def listNamespaces(): Array[Array[String]] = fail()
+  override def listNamespaces(namespace: Array[String]): Array[Array[String]] = fail()
+  override def loadNamespaceMetadata(namespace: Array[String]): util.Map[String, String] = {
+    if (namespace.length == 1) {
+      mutable.HashMap[String, String]().asJava
+    } else {
+      throw new NoSuchNamespaceException(namespace)
+    }
+  }
+  override def createNamespace(
+    namespace: Array[String], metadata: util.Map[String, String]): Unit = fail()
+  override def alterNamespace(namespace: Array[String], changes: NamespaceChange*): Unit = fail()
+  override def dropNamespace(namespace: Array[String], cascade: Boolean): Boolean = fail()
 }
 
 /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
index 392c911ddb8e0..cba928dfa924c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
@@ -330,12 +330,16 @@ class SessionCatalog(
   def getCurrentDatabase: String = synchronized { currentDb }
 
   def setCurrentDatabase(db: String): Unit = {
+    setCurrentDatabaseWithNameCheck(db, requireDbExists)
+  }
+
+  def setCurrentDatabaseWithNameCheck(db: String, nameCheck: String => Unit): Unit = {
     val dbName = format(db)
     if (dbName == globalTempViewManager.database) {
       throw QueryCompilationErrors.cannotUsePreservedDatabaseAsCurrentDatabaseError(
         globalTempViewManager.database)
     }
-    requireDbExists(dbName)
+    nameCheck(dbName)
     synchronized { currentDb = dbName }
   }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogManager.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogManager.scala
index cf9dd7fdf4767..8080af2fb6b51 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogManager.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogManager.scala
@@ -21,6 +21,7 @@ import scala.collection.mutable
 
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.catalyst.SQLConfHelper
+import org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
 import org.apache.spark.sql.catalyst.catalog.SessionCatalog
 import org.apache.spark.sql.catalyst.util.StringUtils
 import org.apache.spark.sql.errors.QueryCompilationErrors
@@ -103,19 +104,31 @@ class CatalogManager(
     }
   }
 
-  def setCurrentNamespace(namespace: Array[String]): Unit = synchronized {
+  private def assertNamespaceExist(namespace: Array[String]): Unit = {
     currentCatalog match {
-      case _ if isSessionCatalog(currentCatalog) && namespace.length == 1 =>
-        v1SessionCatalog.setCurrentDatabase(namespace.head)
-      case _ if isSessionCatalog(currentCatalog) =>
-        throw QueryCompilationErrors.noSuchNamespaceError(namespace)
       case catalog: SupportsNamespaces if !catalog.namespaceExists(namespace) =>
-        throw QueryCompilationErrors.noSuchNamespaceError(namespace)
+        throw QueryCompilationErrors.noSuchNamespaceError(catalog.name() +: namespace)
       case _ =>
-        _currentNamespace = Some(namespace)
     }
   }
 
+  def setCurrentNamespace(namespace: Array[String]): Unit = synchronized {
+    if (isSessionCatalog(currentCatalog) && namespace.length == 1) {
+      v1SessionCatalog.setCurrentDatabaseWithNameCheck(
+        namespace.head,
+        name => {
+          currentCatalog match {
+            case catalog: SupportsNamespaces if !catalog.namespaceExists(namespace) =>
+              throw new NoSuchDatabaseException(name)
+            case _ =>
+          }
+        })
+    } else {
+      assertNamespaceExist(namespace)
+    }
+    _currentNamespace = Some(namespace)
+  }
+
   private var _currentCatalogName: Option[String] = None
 
   def currentCatalog: CatalogPlugin = synchronized {
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/LookupFunctionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/LookupFunctionsSuite.scala
index ae32365e69bbc..1fd81349ac720 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/LookupFunctionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/LookupFunctionsSuite.scala
@@ -47,7 +47,7 @@ class LookupFunctionsSuite extends PlanTest {
           ignoreIfExists = false)
         val catalog = new SessionCatalog(externalCatalog, new SimpleFunctionRegistry)
         val catalogManager = new CatalogManager(new CustomV2SessionCatalog(catalog), catalog)
-        catalog.setCurrentDatabase("db1")
+        catalogManager.setCurrentNamespace(Array("db1"))
         try {
           val analyzer = new Analyzer(catalogManager)
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 1db63f3197288..ccfe8ff730717 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -1448,7 +1448,7 @@ class DataSourceV2SQLSuiteV1Filter
     }
     checkError(exception,
       errorClass = "SCHEMA_NOT_FOUND",
-      parameters = Map("schemaName" -> "`ns1`.`ns2`"))
+      parameters = Map("schemaName" -> "`testcat`.`ns1`.`ns2`"))
   }
 
   test("SPARK-31100: Use: v2 catalog that does not implement SupportsNameSpaces is used " +
@@ -3339,6 +3339,13 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-49099: Switch current schema with custom spark_catalog") {
+    withSQLConf(V2_SESSION_CATALOG_IMPLEMENTATION.key -> classOf[InMemoryCatalog].getName) {
+      sql("CREATE DATABASE test_db")
+      sql("USE test_db")
+    }
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
index dd55fcfe42cac..e937173a590f0 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
@@ -423,8 +423,9 @@ private[sql] trait SQLTestUtilsBase
    * `f` returns.
    */
   protected def activateDatabase(db: String)(f: => Unit): Unit = {
-    spark.sessionState.catalog.setCurrentDatabase(db)
-    Utils.tryWithSafeFinally(f)(spark.sessionState.catalog.setCurrentDatabase("default"))
+    spark.sessionState.catalogManager.setCurrentNamespace(Array(db))
+    Utils.tryWithSafeFinally(f)(
+      spark.sessionState.catalogManager.setCurrentNamespace(Array("default")))
   }
 
   /**
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
index 9284b35fb3e35..1d646f40b3e28 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
@@ -543,6 +543,7 @@ private[hive] class TestHiveSparkSession(
       sharedState.cacheManager.clearCache()
       sharedState.loadedTables.clear()
       sessionState.catalog.reset()
+      sessionState.catalogManager.reset()
       metadataHive.reset()
 
       // HDFS root scratch dir requires the write all (733) permission. For each connecting user,

From d13808c9d6cc88b514e1b7b9fdd642e0e6364f8d Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 6 Aug 2024 19:05:25 +0800
Subject: [PATCH 796/986] [SPARK-49099][SQL][FOLLOWUP][3.5] recover tests in
 DDLSuite

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/47592 to fix test failure during backport.

### Why are the changes needed?

recover CI

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47630 from cloud-fan/fix.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/sql/execution/command/DDLSuite.scala    | 5 +++--
 .../org/apache/spark/sql/hive/execution/HiveDDLSuite.scala   | 1 +
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
index dea66bb09cfac..1e63350fdb439 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
@@ -47,6 +47,7 @@ class InMemoryCatalogedDDLSuite extends DDLSuite with SharedSparkSession {
     try {
       // drop all databases, tables and functions after each test
       spark.sessionState.catalog.reset()
+      spark.sessionState.catalogManager.reset()
     } finally {
       Utils.deleteRecursively(new File(spark.sessionState.conf.warehousePath))
       super.afterEach()
@@ -1120,7 +1121,7 @@ abstract class DDLSuite extends QueryTest with DDLSuiteBase {
     sql("ALTER TABLE dbx.tab1 SET TBLPROPERTIES ('andrew' = 'or14', 'kor' = 'bel')")
     assert(getProps == Map("andrew" -> "or14", "kor" -> "bel"))
     // set table properties without explicitly specifying database
-    catalog.setCurrentDatabase("dbx")
+    spark.sessionState.catalogManager.setCurrentNamespace(Array("dbx"))
     sql("ALTER TABLE tab1 SET TBLPROPERTIES ('kor' = 'belle', 'kar' = 'bol')")
     assert(getProps == Map("andrew" -> "or14", "kor" -> "belle", "kar" -> "bol"))
     // table to alter does not exist
@@ -1154,7 +1155,7 @@ abstract class DDLSuite extends QueryTest with DDLSuiteBase {
     sql("ALTER TABLE dbx.tab1 UNSET TBLPROPERTIES ('j')")
     assert(getProps == Map("p" -> "an", "c" -> "lan", "x" -> "y"))
     // unset table properties without explicitly specifying database
-    catalog.setCurrentDatabase("dbx")
+    spark.sessionState.catalogManager.setCurrentNamespace(Array("dbx"))
     sql("ALTER TABLE tab1 UNSET TBLPROPERTIES ('p')")
     assert(getProps == Map("c" -> "lan", "x" -> "y"))
     // table to alter does not exist
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
index 2c5e2956f5f8a..2fad78e84f49d 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
@@ -56,6 +56,7 @@ class HiveCatalogedDDLSuite extends DDLSuite with TestHiveSingleton with BeforeA
     try {
       // drop all databases, tables and functions after each test
       spark.sessionState.catalog.reset()
+      spark.sessionState.catalogManager.reset()
     } finally {
       super.afterEach()
     }

From bb7846dd487f259994fdc69e18e03382e3f64f42 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 6 Aug 2024 11:09:14 +0000
Subject: [PATCH 797/986] Preparing Spark release v3.5.2-rc5

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..89bee06852bef 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.2
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ed09ea1725da5..da05ae8eba11d 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 12b57da00234a..e7e172fa7a136 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index e6e0a2660b45d..80f09efb00486 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index c39d849494e9c..33769c5c718b4 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 1c0173d35139c..dfa0da4bd1d2a 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 58ec4e57e5158..101730cf66734 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 5512ed8012ae2..158a5a14cac07 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 159064b0444c9..9b918826c7b45 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index d31f3ea7b1ac1..f6d8ceb426739 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index b15c6dd36ba74..de4196fc73277 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 317e663af153f..4aa353992d5c9 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6f3d683d9cb12..669de24b8c131 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 60c807b169699..d02193fc28bd8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 81c0826bdd189..f5132e5c8ae69 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f16f47db18876..97de1b9f47936 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8348a32b2e238..ce6646241db40 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 8db62e2020e35..197a3b3df5848 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 1d076d4d62f10..4f7c4e80466f6 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index c5ba0abd803d7..33b412061e359 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 3ba3ce45a726d..2ab75e151c988 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index a6cc9248f17a6..9526226882e70 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 034f45fc2af88..221dc8d9961c0 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index a326e41b8e233..2e7f729ca2168 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index b7abf37080d8d..03c391eaad7d9 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.2
+SPARK_VERSION_SHORT: 3.5.2
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.2"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 6648ec2cc7cb1..3b7b63dd68da0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 22a8b916c4b14..cacb8684e99e6 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index fca45d2df0c35..5a4130b8f218f 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 75c85d66a935a..c9b3bbc284272 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 4e00a7b2dc9b8..0ae3e7eed0922 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index b9e6e40583461..9d0999af741e0 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 61780803afb57..8fe98c3584682 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3-SNAPSHOT</version>
+  <version>3.5.2</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index c779e9442f6b3..6756acf033661 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3.dev0"
+__version__: str = "3.5.2"
diff --git a/repl/pom.xml b/repl/pom.xml
index e8c2436f109c3..338a9779e9207 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e1ad633dff2ff..1cb35dd8ef7f6 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 91fc5a94fa747..74c0753867071 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index d5d0c0125fce9..da43510900d74 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 2d6f7f87247c4..862acd8affb8d 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 818cb24cac80a..1011a6239c2fd 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.2</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 89cc3b9560a76..aa6bc4add957c 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 199597a36349d..2a1f09ed75e7f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1e4ad6f456371..8cf30e4e19170 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index ea65b59390c83..494fa6522ee43 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6601c459741f0..72abd933503fc 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3f7721c9bcff5..dfb594060e345 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.2</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 52ca284b04d94b17106c278822fb45708b71ee55 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 6 Aug 2024 11:09:18 +0000
Subject: [PATCH 798/986] Preparing development version 3.5.3-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 89bee06852bef..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.2
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index da05ae8eba11d..ed09ea1725da5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index e7e172fa7a136..12b57da00234a 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 80f09efb00486..e6e0a2660b45d 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 33769c5c718b4..c39d849494e9c 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index dfa0da4bd1d2a..1c0173d35139c 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 101730cf66734..58ec4e57e5158 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 158a5a14cac07..5512ed8012ae2 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 9b918826c7b45..159064b0444c9 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index f6d8ceb426739..d31f3ea7b1ac1 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index de4196fc73277..b15c6dd36ba74 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 4aa353992d5c9..317e663af153f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 669de24b8c131..6f3d683d9cb12 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index d02193fc28bd8..60c807b169699 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index f5132e5c8ae69..81c0826bdd189 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 97de1b9f47936..f16f47db18876 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index ce6646241db40..8348a32b2e238 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 197a3b3df5848..8db62e2020e35 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 4f7c4e80466f6..1d076d4d62f10 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 33b412061e359..c5ba0abd803d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 2ab75e151c988..3ba3ce45a726d 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9526226882e70..a6cc9248f17a6 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 221dc8d9961c0..034f45fc2af88 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 2e7f729ca2168..a326e41b8e233 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 03c391eaad7d9..b7abf37080d8d 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.2
-SPARK_VERSION_SHORT: 3.5.2
+SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.2"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 3b7b63dd68da0..6648ec2cc7cb1 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index cacb8684e99e6..22a8b916c4b14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 5a4130b8f218f..fca45d2df0c35 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index c9b3bbc284272..75c85d66a935a 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 0ae3e7eed0922..4e00a7b2dc9b8 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 9d0999af741e0..b9e6e40583461 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8fe98c3584682..61780803afb57 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.2</version>
+  <version>3.5.3-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 6756acf033661..c779e9442f6b3 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.2"
+__version__: str = "3.5.3.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 338a9779e9207..e8c2436f109c3 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 1cb35dd8ef7f6..e1ad633dff2ff 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 74c0753867071..91fc5a94fa747 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index da43510900d74..d5d0c0125fce9 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 862acd8affb8d..2d6f7f87247c4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1011a6239c2fd..818cb24cac80a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.2</version>
+        <version>3.5.3-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index aa6bc4add957c..89cc3b9560a76 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 2a1f09ed75e7f..199597a36349d 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 8cf30e4e19170..1e4ad6f456371 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 494fa6522ee43..ea65b59390c83 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 72abd933503fc..6601c459741f0 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index dfb594060e345..3f7721c9bcff5 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.2</version>
+    <version>3.5.3-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 0e2d757660212d679118e587f921e640720f9245 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Sat, 10 Aug 2024 00:34:34 +0800
Subject: [PATCH 799/986] [SPARK-49182][DOCS][PYTHON] Stop publish
 site/docs/{version}/api/python/_sources dir

Remove dangling links like:
https://spark.apache.org/docs/3.5.1/api/python/_sources/user_guide/sql/index.rst.txt

reduce the size of documentation publication

```
$ du -h 3.5.1/api/python/_sources
 68K	3.5.1/api/python/_sources/development
148K	3.5.1/api/python/_sources/user_guide/pandas_on_spark
 40K	3.5.1/api/python/_sources/user_guide/sql
208K	3.5.1/api/python/_sources/user_guide
 20K	3.5.1/api/python/_sources/migration_guide
2.9M	3.5.1/api/python/_sources/reference/pyspark.sql/api
3.0M	3.5.1/api/python/_sources/reference/pyspark.sql
180K	3.5.1/api/python/_sources/reference/pyspark.ss/api
196K	3.5.1/api/python/_sources/reference/pyspark.ss
2.5M	3.5.1/api/python/_sources/reference/api
3.0M	3.5.1/api/python/_sources/reference/pyspark.pandas/api
3.1M	3.5.1/api/python/_sources/reference/pyspark.pandas
8.8M	3.5.1/api/python/_sources/reference
4.1M	3.5.1/api/python/_sources/getting_started
 13M	3.5.1/api/python/_sources
```

NO

build locally

```
ls api/python
_images         _static         getting_started migration_guide reference       searchindex.js
_modules        development     index.html      objects.inv     search.html     user_guide
```

NO

Closes #47686 from yaooqinn/SPARK-49182.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit eb859def440299f269f38f30d3e9e465bd5cec26)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/_plugins/copy_api_dirs.rb | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/_plugins/copy_api_dirs.rb b/docs/_plugins/copy_api_dirs.rb
index 28d5e0d82c93a..bafc479974551 100644
--- a/docs/_plugins/copy_api_dirs.rb
+++ b/docs/_plugins/copy_api_dirs.rb
@@ -136,6 +136,7 @@
     mkdir_p "api/python"
 
     puts "cp -r ../python/docs/build/html/. api/python"
+    rm_r("../python/docs/build/html/_sources")
     cp_r("../python/docs/build/html/.", "api/python")
   end
 

From 7bfb4f0a82a1fa37f42000d3fd30cdf54f214d38 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Fri, 9 Aug 2024 16:33:41 +0900
Subject: [PATCH 800/986] [SPARK-49176][K8S][DOCS] Fix
 `spark.ui.custom.executor.log.url` docs by adding K8s

### What changes were proposed in this pull request?

This PR aims to fix `spark.ui.custom.executor.log.url` configuration's documentation by adding K8s on top of YARN.
```
-    For now, only YARN mode supports this configuration
+    For now, only YARN and K8s cluster manager supports this configuration
```

In addition, K8s example is added to `running-on-kubernetes.md` docs to help users refer the existing environment variables, `SPARK_APPLICATION_ID` and `SPARK_EXECUTOR_ID`, more easily to enable this feature.

- https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/#using-environment-variables-inside-of-your-config

### Why are the changes needed?

To fix a wrong description.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review. This is a doc-only PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47681 from dongjoon-hyun/SPARK-49176.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/configuration.md         | 2 +-
 docs/running-on-kubernetes.md | 8 ++++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index 5457a77e4fc72..abd934572bd00 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1572,7 +1572,7 @@ Apart from these, the following properties are also available, and may be useful
     which will be also effective when accessing the application on history server. The new log urls must be
     permanent, otherwise you might have dead link for executor log urls.
     <p/>
-    For now, only YARN mode supports this configuration
+    For now, only YARN and K8s cluster manager supports this configuration
   </td>
   <td>3.0.0</td>
 </tr>
diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index a684e7caa1a04..cbddaaf90fca3 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -430,6 +430,14 @@ The same logs can also be accessed through the
 [Kubernetes dashboard](https://kubernetes.io/docs/tasks/access-application-cluster/web-ui-dashboard/) if installed on
 the cluster.
 
+When there exists a log collection system, you can expose it at Spark Driver `Executors` tab UI. For example,
+
+```
+spark.executorEnv.SPARK_EXECUTOR_ATTRIBUTE_APP_ID='$(SPARK_APPLICATION_ID)'
+spark.executorEnv.SPARK_EXECUTOR_ATTRIBUTE_EXECUTOR_ID='$(SPARK_EXECUTOR_ID)'
+spark.ui.custom.executor.log.url='https://log-server/log?appId={{APP_ID}}&execId={{EXECUTOR_ID}}'
+```
+
 ### Accessing Driver UI
 
 The UI associated with any application can be accessed locally using

From 204dd814e39efecd83623069351fc0c46fa38474 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 12 Aug 2024 11:19:47 +0800
Subject: [PATCH 801/986] [SPARK-49183][SQL] V2SessionCatalog.createTable
 should respect PROP_IS_MANAGED_LOCATION

Even if the table definition has a location, the table should be a managed table if `PROP_IS_MANAGED_LOCATION` is specified, in `V2SessionCatalog.createTable`.

It's a bug fix. A custom `spark_catalog` may generate custom location for managed table and delegate the actual table creation to `V2SessionCatalog`. The table should still be a managed table if `PROP_IS_MANAGED_LOCATION` is specified.

Yes, now users who use custom `spark_catalog` that generates custom location for managed table, can correctly create managed tables.

a new test

no

Closes #47684 from cloud-fan/table.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit ed04e160940a62fe3f5e82bda502941c7aa75a29)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/connector/catalog/TableCatalog.java   |  3 +-
 .../datasources/v2/ShowCreateTableExec.scala  |  2 +-
 .../datasources/v2/V2SessionCatalog.scala     |  4 ++-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 34 ++++++++++++++++++-
 4 files changed, 39 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
index d99e7e14b0117..29c2da307a0f6 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
@@ -52,7 +52,8 @@ public interface TableCatalog extends CatalogPlugin {
 
   /**
    * A reserved property to indicate that the table location is managed, not user-specified.
-   * If this property is "true", SHOW CREATE TABLE will not generate the LOCATION clause.
+   * If this property is "true", it means it's a managed table even if it has a location. As an
+   * example, SHOW CREATE TABLE will not generate the LOCATION clause.
    */
   String PROP_IS_MANAGED_LOCATION = "is_managed_location";
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
index 6fa51ed63bd46..64f76f59c286f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowCreateTableExec.scala
@@ -120,7 +120,7 @@ case class ShowCreateTableExec(
   private def showTableLocation(table: Table, builder: StringBuilder): Unit = {
     val isManagedOption = Option(table.properties.get(TableCatalog.PROP_IS_MANAGED_LOCATION))
     // Only generate LOCATION clause if it's not managed.
-    if (isManagedOption.forall(_.equalsIgnoreCase("false"))) {
+    if (isManagedOption.isEmpty || !isManagedOption.get.equalsIgnoreCase("true")) {
       Option(table.properties.get(TableCatalog.PROP_LOCATION))
         .map("LOCATION '" + escapeSingleQuotedString(_) + "'\n")
         .foreach(builder.append)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
index a7062a9a596c3..d7ab23cf08ddd 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
@@ -121,7 +121,9 @@ class V2SessionCatalog(catalog: SessionCatalog)
     val storage = DataSource.buildStorageFormatFromOptions(toOptions(tableProperties.toMap))
         .copy(locationUri = location.map(CatalogUtils.stringToURI))
     val isExternal = properties.containsKey(TableCatalog.PROP_EXTERNAL)
-    val tableType = if (isExternal || location.isDefined) {
+    val isManagedLocation = Option(properties.get(TableCatalog.PROP_IS_MANAGED_LOCATION))
+      .exists(_.equalsIgnoreCase("true"))
+    val tableType = if (isExternal || (location.isDefined && !isManagedLocation)) {
       CatalogTableType.EXTERNAL
     } else {
       CatalogTableType.MANAGED
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index ccfe8ff730717..aadbb10de703a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.connector
 
 import java.sql.Timestamp
 import java.time.{Duration, LocalDate, Period}
+import java.util
 import java.util.Locale
 
 import scala.collection.JavaConverters._
@@ -35,7 +36,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.connector.catalog.{Column => ColumnV2, _}
 import org.apache.spark.sql.connector.catalog.CatalogManager.SESSION_CATALOG_NAME
 import org.apache.spark.sql.connector.catalog.CatalogV2Util.withDefaultOwnership
-import org.apache.spark.sql.connector.expressions.LiteralValue
+import org.apache.spark.sql.connector.expressions.{LiteralValue, Transform}
 import org.apache.spark.sql.errors.QueryErrorsBase
 import org.apache.spark.sql.execution.FilterExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
@@ -3340,12 +3341,29 @@ class DataSourceV2SQLSuiteV1Filter
   }
 
   test("SPARK-49099: Switch current schema with custom spark_catalog") {
+    // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
+    // configure a new implementation.
+    spark.sessionState.catalogManager.reset()
     withSQLConf(V2_SESSION_CATALOG_IMPLEMENTATION.key -> classOf[InMemoryCatalog].getName) {
       sql("CREATE DATABASE test_db")
       sql("USE test_db")
     }
   }
 
+  test("SPARK-49183: custom spark_catalog generates location for managed tables") {
+    // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
+    // configure a new implementation.
+    spark.sessionState.catalogManager.reset()
+    withSQLConf(V2_SESSION_CATALOG_IMPLEMENTATION.key -> classOf[SimpleDelegatingCatalog].getName) {
+      withTable("t") {
+        sql(s"CREATE TABLE t (i INT) USING $v2Format")
+        val table = catalog(SESSION_CATALOG_NAME).asTableCatalog
+          .loadTable(Identifier.of(Array("default"), "t"))
+        assert(!table.properties().containsKey(TableCatalog.PROP_EXTERNAL))
+      }
+    }
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,
@@ -3374,3 +3392,17 @@ class FakeV2Provider extends SimpleTableProvider {
 class ReserveSchemaNullabilityCatalog extends InMemoryCatalog {
   override def useNullableQuerySchema(): Boolean = false
 }
+
+class SimpleDelegatingCatalog extends DelegatingCatalogExtension {
+  override def createTable(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): Table = {
+    val newProps = new util.HashMap[String, String]
+    newProps.putAll(properties)
+    newProps.put(TableCatalog.PROP_LOCATION, "/tmp/test_path")
+    newProps.put(TableCatalog.PROP_IS_MANAGED_LOCATION, "true")
+    super.createTable(ident, columns, partitions, newProps)
+  }
+}

From 4a9dae9b8cdb822c9a0827639dcabe6224df14e3 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 3 Jun 2024 12:37:24 +0900
Subject: [PATCH 802/986] [SPARK-48204][INFRA][FOLLOW] fix release scripts for
 the "finalize" step

Necessary fixes to finalize the spark 4.0 preview release. The major one is that pypi now requires API token instead of username/password for authentication.

release

no

manual

no

Closes #46840 from cloud-fan/script.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 dev/create-release/do-release-docker.sh |  6 ++---
 dev/create-release/release-build.sh     | 31 ++++++++++++++-----------
 2 files changed, 21 insertions(+), 16 deletions(-)

diff --git a/dev/create-release/do-release-docker.sh b/dev/create-release/do-release-docker.sh
index 88398bc14dd02..ea3105b3d0a70 100755
--- a/dev/create-release/do-release-docker.sh
+++ b/dev/create-release/do-release-docker.sh
@@ -84,8 +84,8 @@ if [ ! -z "$RELEASE_STEP" ] && [ "$RELEASE_STEP" = "finalize" ]; then
     error "Exiting."
   fi
 
-  if [ -z "$PYPI_PASSWORD" ]; then
-    stty -echo && printf "PyPi password: " && read PYPI_PASSWORD && printf '\n' && stty echo
+  if [ -z "$PYPI_API_TOKEN" ]; then
+    stty -echo && printf "PyPi API token: " && read PYPI_API_TOKEN && printf '\n' && stty echo
   fi
 fi
 
@@ -142,7 +142,7 @@ GIT_NAME=$GIT_NAME
 GIT_EMAIL=$GIT_EMAIL
 GPG_KEY=$GPG_KEY
 ASF_PASSWORD=$ASF_PASSWORD
-PYPI_PASSWORD=$PYPI_PASSWORD
+PYPI_API_TOKEN=$PYPI_API_TOKEN
 GPG_PASSPHRASE=$GPG_PASSPHRASE
 RELEASE_STEP=$RELEASE_STEP
 USER=$USER
diff --git a/dev/create-release/release-build.sh b/dev/create-release/release-build.sh
index e0588ae934cd2..99841916cf293 100755
--- a/dev/create-release/release-build.sh
+++ b/dev/create-release/release-build.sh
@@ -95,8 +95,8 @@ init_java
 init_maven_sbt
 
 if [[ "$1" == "finalize" ]]; then
-  if [[ -z "$PYPI_PASSWORD" ]]; then
-    error 'The environment variable PYPI_PASSWORD is not set. Exiting.'
+  if [[ -z "$PYPI_API_TOKEN" ]]; then
+    error 'The environment variable PYPI_API_TOKEN is not set. Exiting.'
   fi
 
   git config --global user.name "$GIT_NAME"
@@ -104,22 +104,27 @@ if [[ "$1" == "finalize" ]]; then
 
   # Create the git tag for the new release
   echo "Creating the git tag for the new release"
-  rm -rf spark
-  git clone "https://$ASF_USERNAME:$ASF_PASSWORD@$ASF_SPARK_REPO" -b master
-  cd spark
-  git tag "v$RELEASE_VERSION" "$RELEASE_TAG"
-  git push origin "v$RELEASE_VERSION"
-  cd ..
-  rm -rf spark
-  echo "git tag v$RELEASE_VERSION created"
+  if check_for_tag "v$RELEASE_VERSION"; then
+    echo "v$RELEASE_VERSION already exists. Skip creating it."
+  else
+    rm -rf spark
+    git clone "https://$ASF_USERNAME:$ASF_PASSWORD@$ASF_SPARK_REPO" -b master
+    cd spark
+    git tag "v$RELEASE_VERSION" "$RELEASE_TAG"
+    git push origin "v$RELEASE_VERSION"
+    cd ..
+    rm -rf spark
+    echo "git tag v$RELEASE_VERSION created"
+  fi
 
   # download PySpark binary from the dev directory and upload to PyPi.
   echo "Uploading PySpark to PyPi"
   svn co --depth=empty "$RELEASE_STAGING_LOCATION/$RELEASE_TAG-bin" svn-spark
   cd svn-spark
-  svn update "pyspark-$RELEASE_VERSION.tar.gz"
-  svn update "pyspark-$RELEASE_VERSION.tar.gz.asc"
-  TWINE_USERNAME=spark-upload TWINE_PASSWORD="$PYPI_PASSWORD" twine upload \
+  PYSPARK_VERSION=`echo "$RELEASE_VERSION" |  sed -e "s/-/./" -e "s/preview/dev/"`
+  svn update "pyspark-$PYSPARK_VERSION.tar.gz"
+  svn update "pyspark-$PYSPARK_VERSION.tar.gz.asc"
+  twine upload -u __token__  -p $PYPI_API_TOKEN \
     --repository-url https://upload.pypi.org/legacy/ \
     "pyspark-$RELEASE_VERSION.tar.gz" \
     "pyspark-$RELEASE_VERSION.tar.gz.asc"

From deac7807efb486dd8f3c8bec39b90cbecb6ae767 Mon Sep 17 00:00:00 2001
From: zml1206 <zhuml1206@gmail.com>
Date: Mon, 12 Aug 2024 16:30:13 +0800
Subject: [PATCH 803/986] [SPARK-46632][SQL] Fix subexpression elimination when
 equivalent ternary expressions have different children

Remove unexpected exception thrown in `EquivalentExpressions.updateExprInMap()`. Equivalent expressions may contain different children, it should happen expression not in map and `useCount` is -1.
For example, before this PR will throw IllegalStateException
```
Seq((1, 2, 3), (2, 3, 4)).toDF("a", "b", "c")
      .selectExpr("case when a + b + c>3 then 1 when c + a + b>0 then 2 else 0 end as d").show()
```

Bug fix.

No.

New unit test, before this PR will throw IllegalStateException: *** with use count: -1

No.

Closes #46135 from zml1206/SPARK-46632.

Authored-by: zml1206 <zhuml1206@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 2fb8dffe40ffd613b4cf7f59843160baba0d078c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../catalyst/expressions/EquivalentExpressions.scala |  4 ----
 .../expressions/SubexpressionEliminationSuite.scala  | 12 ++++++++++++
 2 files changed, 12 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
index 1a84859cc3a15..5d8d428e27d68 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
@@ -79,10 +79,6 @@ class EquivalentExpressions(
         case _ =>
           if (useCount > 0) {
             map.put(wrapper, ExpressionStats(expr)(useCount))
-          } else {
-            // Should not happen
-            throw new IllegalStateException(
-              s"Cannot update expression: $expr in map: $map with use count: $useCount")
           }
           false
       }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/SubexpressionEliminationSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/SubexpressionEliminationSuite.scala
index f369635a32671..e9faeba2411ce 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/SubexpressionEliminationSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/SubexpressionEliminationSuite.scala
@@ -494,6 +494,18 @@ class SubexpressionEliminationSuite extends SparkFunSuite with ExpressionEvalHel
     checkShortcut(Or(equal, Literal(true)), 1)
     checkShortcut(Not(And(equal, Literal(false))), 1)
   }
+
+  test("Equivalent ternary expressions have different children") {
+    val add1 = Add(Add(Literal(1), Literal(2)), Literal(3))
+    val add2 = Add(Add(Literal(3), Literal(1)), Literal(2))
+    val conditions1 = (GreaterThan(add1, Literal(3)), Literal(1)) ::
+      (GreaterThan(add2, Literal(0)), Literal(2)) :: Nil
+
+    val caseWhenExpr1 = CaseWhen(conditions1, Literal(0))
+    val equivalence1 = new EquivalentExpressions
+    equivalence1.addExprTree(caseWhenExpr1)
+    assert(equivalence1.getCommonSubexpressions.size == 1)
+  }
 }
 
 case class CodegenFallbackExpression(child: Expression)

From 4d6902134cae31c959045d3025ed232d43ec8623 Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Mon, 12 Aug 2024 18:09:55 +0800
Subject: [PATCH 804/986] [SPARK-49200][SQL] Fix null type non-codegen ordering
 exception

### What changes were proposed in this pull request?

Spark mark `NullType` as orderable, and we return 0 when gen comparing code for `NullType`.
```
object OrderUtils {
  def isOrderable(dataType: DataType): Boolean = dataType match {
    case NullType => true
```
This pr makes `NullType` ordering work for non-codegen path to avoid exception.

### Why are the changes needed?

Fix exception:
```sql
set spark.sql.codegen.factoryMode=NO_CODEGEN;
set spark.sql.optimizer.excludedRules=org.apache.spark.sql.catalyst.optimizer.EliminateSorts;

select * from range(10) order by array(null);
```

```
org.apache.spark.SparkIllegalArgumentException: Type PhysicalNullType does not support ordered operations.
    at org.apache.spark.sql.errors.QueryExecutionErrors$.orderedOperationUnsupportedByDataTypeError(QueryExecutionErrors.scala:352)
    at org.apache.spark.sql.catalyst.types.PhysicalNullType.ordering(PhysicalDataType.scala:246)
    at org.apache.spark.sql.catalyst.types.PhysicalNullType.ordering(PhysicalDataType.scala:243)
    at org.apache.spark.sql.catalyst.types.PhysicalArrayType$$anon$1.<init>(PhysicalDataType.scala:283)
    at org.apache.spark.sql.catalyst.types.PhysicalArrayType.interpretedOrdering$lzycompute(PhysicalDataType.scala:281)
    at org.apache.spark.sql.catalyst.types.PhysicalArrayType.interpretedOrdering(PhysicalDataType.scala:281)
    at org.apache.spark.sql.catalyst.types.PhysicalArrayType.ordering(PhysicalDataType.scala:277)
    at org.apache.spark.sql.catalyst.expressions.InterpretedOrdering.compare(ordering.scala:67)
    at org.apache.spark.sql.catalyst.expressions.InterpretedOrdering.compare(ordering.scala:40)
    at org.apache.spark.sql.execution.UnsafeExternalRowSorter$RowComparator.compare(UnsafeExternalRowSorter.java:254)
    at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter$SortComparator.compare(UnsafeInMemorySorter.java:70)
    at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter$SortComparator.compare(UnsafeInMemorySorter.java:44)
```

### Does this PR introduce _any_ user-facing change?

yes, bug fix

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47707 from ulysses-you/null-ordering.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
(cherry picked from commit e3ba74b65b9d534655fbcf40bb2c00b7f5c69418)
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../spark/sql/catalyst/types/PhysicalDataType.scala |  3 +--
 .../scala/org/apache/spark/sql/SQLQuerySuite.scala  | 13 ++++++++++++-
 2 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala
index d392557e650e3..0f60f8d7b1ef4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala
@@ -239,8 +239,7 @@ case class PhysicalMapType(keyType: DataType, valueType: DataType, valueContains
 
 class PhysicalNullType() extends PhysicalDataType with PhysicalPrimitiveType {
   override private[sql] def ordering =
-    throw QueryExecutionErrors.orderedOperationUnsupportedByDataTypeError(
-      "PhysicalNullType")
+    implicitly[Ordering[Unit]].asInstanceOf[Ordering[Any]]
   override private[sql] type InternalType = Any
   @transient private[sql] lazy val tag = typeTag[InternalType]
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index cfeccbdf648c2..71f4f17de61d9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -31,7 +31,7 @@ import org.apache.commons.io.FileUtils
 import org.apache.spark.{AccumulatorSuite, SPARK_DOC_ROOT, SparkException}
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
 import org.apache.spark.sql.catalyst.ExtendedAnalysisException
-import org.apache.spark.sql.catalyst.expressions.{GenericRow, Hex}
+import org.apache.spark.sql.catalyst.expressions.{CodegenObjectFactoryMode, GenericRow, Hex}
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.aggregate.{Complete, Partial}
 import org.apache.spark.sql.catalyst.optimizer.{ConvertToLocalRelation, NestedColumnAliasingSuite}
@@ -1430,6 +1430,17 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
     }
   }
 
+  test("SPARK-49200: Fix null type non-codegen ordering exception") {
+    withSQLConf(
+        SQLConf.CODEGEN_FACTORY_MODE.key -> CodegenObjectFactoryMode.NO_CODEGEN.toString,
+        SQLConf.OPTIMIZER_EXCLUDED_RULES.key ->
+          "org.apache.spark.sql.catalyst.optimizer.EliminateSorts") {
+      checkAnswer(
+        sql("SELECT * FROM range(3) ORDER BY array(null)"),
+        Seq(Row(0), Row(1), Row(2)))
+    }
+  }
+
   test("SPARK-8837: use keyword in column name") {
     withTempView("t") {
       val df = Seq(1 -> "a").toDF("count", "sort")

From 6a7564061035969f72a2dacbba8226f9b0f3e418 Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Sun, 11 Aug 2024 17:32:56 +0900
Subject: [PATCH 805/986] [SPARK-49193][SQL] Improve the performance of
 RowSetUtils.toColumnBasedSet

### What changes were proposed in this pull request?

Replace `while` loop with `foreach` in `RowSetUtils.toTColumn`.

### Why are the changes needed?

Improve the performance of `RowSetUtils.toColumnBasedSet`:
<img width="1196" alt="image" src="https://github.com/user-attachments/assets/f481de39-e0bf-41c5-8fee-09dc1a93c4e1">

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual test.
```scala
import org.apache.hive.service.rpc.thrift.TProtocolVersion
import org.apache.spark.sql.execution.HiveResult

val df = spark.sql("select id, cast(id as string), cast(id as timestamp) from range(200000)")
val dataTypes = df.schema.fields.map(_.dataType)
val rows = df.collect().toList
val start1 = System.currentTimeMillis()
RowSetUtils.toTRowSet(1, rows, dataTypes, TProtocolVersion.HIVE_CLI_SERVICE_PROTOCOL_V11, HiveResult.getTimeFormatters)
val start2 = System.currentTimeMillis()
RowSetUtils.toTRowSet(1, rows, dataTypes, TProtocolVersion.HIVE_CLI_SERVICE_PROTOCOL_V5, HiveResult.getTimeFormatters)
val start3 = System.currentTimeMillis()
println(s"toColumnBasedSet time: ${start2 - start1}, toRowBasedSet time: ${start3 - start2}")
```

Before this PR:
```
toColumnBasedSet time: 17307, toRowBasedSet time: 71
```

After this PR:
```
toColumnBasedSet time: 128, toRowBasedSet time: 70
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47699 from wangyum/toColumnBasedSet.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 567d58c2c16143eee17d6844cb902f36bf79d350)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala   | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
index 047f0612898d9..43130bb204f6d 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/RowSetUtils.scala
@@ -131,8 +131,7 @@ object RowSetUtils {
         var i = 0
         val rowSize = rows.length
         val values = new java.util.ArrayList[String](rowSize)
-        while (i < rowSize) {
-          val row = rows(i)
+        rows.foreach { row =>
           nulls.set(i, row.isNullAt(ordinal))
           val value = if (row.isNullAt(ordinal)) {
             ""

From 7799811b4718607ff93dad2f15a6a625c48c0cf8 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 12 Aug 2024 10:25:40 -0700
Subject: [PATCH 806/986] [SPARK-49183][SQL][FOLLOWUP][3.5] Fix compilation

### What changes were proposed in this pull request?

fix compilation error caused by https://github.com/apache/spark/pull/47684 . Seems scala 2.12 has some subtle differences in the import priority.

### Why are the changes needed?

N/A

### Does this PR introduce _any_ user-facing change?

N/A

### How was this patch tested?

pass compilation

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47722 from cloud-fan/fix.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../apache/spark/sql/connector/DataSourceV2SQLSuite.scala   | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index aadbb10de703a..01d878f2d2b4b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -17,9 +17,9 @@
 
 package org.apache.spark.sql.connector
 
+import java.{util => jutil}
 import java.sql.Timestamp
 import java.time.{Duration, LocalDate, Period}
-import java.util
 import java.util.Locale
 
 import scala.collection.JavaConverters._
@@ -3398,8 +3398,8 @@ class SimpleDelegatingCatalog extends DelegatingCatalogExtension {
       ident: Identifier,
       columns: Array[ColumnV2],
       partitions: Array[Transform],
-      properties: util.Map[String, String]): Table = {
-    val newProps = new util.HashMap[String, String]
+      properties: jutil.Map[String, String]): Table = {
+    val newProps = new jutil.HashMap[String, String]
     newProps.putAll(properties)
     newProps.put(TableCatalog.PROP_LOCATION, "/tmp/test_path")
     newProps.put(TableCatalog.PROP_IS_MANAGED_LOCATION, "true")

From 3237b8e6c840b160e121966d23dddccfc548cc1f Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 12 Aug 2024 10:26:31 -0700
Subject: [PATCH 807/986] [SPARK-49197][CORE] Redact `Spark Command` output in
 `launcher` module

### What changes were proposed in this pull request?

This PR aims to redact `Spark Command` output in `launcher` module.

### Why are the changes needed?

When `launcher` module shows `Spark Command`, there is no redaction. Although Spark Cluster is supposed to be in a secure environment, this could be collected by a centralized log system. We need to do a proper redaction.

**EXAMPLE (Spark History Server)**
```
$ SPARK_NO_DAEMONIZE=1 \
  SPARK_HISTORY_OPTS="-Dspark.ui.filters=org.apache.spark.ui.JWSFilter -Dspark.org.apache.spark.ui.JWSFilter.param.secretKey=VmlzaXQgaHR0cHM6Ly9zcGFyay5hcGFjaGUub3JnIHRvIGRvd25sb2FkIEFwYWNoZSBTcGFyay4=" \
  sbin/start-history-server.sh
```

**BEFORE**
```
Spark Command: /Users/dongjoon/.jenv/versions/17/bin/java -cp /Users/dongjoon/APACHE/spark-merge/conf/:/Users/dongjoon/APACHE/spark-merge/assembly/target/scala-2.13/jars/slf4j-api-2.0.14.jar:/Users/dongjoon/APACHE/spark-merge/assembly/target/scala-2.13/jars/* \
-Dspark.ui.filters=org.apache.spark.ui.JWSFilter \
-Dspark.org.apache.spark.ui.JWSFilter.param.secretKey=VmlzaXQgaHR0cHM6Ly9zcGFyay5hcGFjaGUub3JnIHRvIGRvd25sb2FkIEFwYWNoZSBTcGFyay4= \
-Xmx1g \
org.apache.spark.deploy.history.HistoryServer
```

**AFTER**
```
...
Spark Command: /Users/dongjoon/.jenv/versions/17/bin/java -cp /Users/dongjoon/APACHE/spark-merge/conf/:/Users/dongjoon/APACHE/spark-merge/assembly/target/scala-2.13/jars/slf4j-api-2.0.14.jar:/Users/dongjoon/APACHE/spark-merge/assembly/target/scala-2.13/jars/* \
-Dspark.ui.filters=org.apache.spark.ui.JWSFilter \
-Dspark.org.apache.spark.ui.JWSFilter.param.secretKey=*********(redacted) \
-Xmx1g \
org.apache.spark.deploy.history.HistoryServer
```

### Does this PR introduce _any_ user-facing change?

This only changes the log messages during startup.

### How was this patch tested?

Pass the CIs with newly added test case.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47704 from dongjoon-hyun/SPARK-49197.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 93cf355ab05d8c9e82e23b8ae065b2f462489e4e)
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../spark/launcher/CommandBuilderUtils.java   | 27 +++++++++++++++++++
 .../java/org/apache/spark/launcher/Main.java  |  2 +-
 .../launcher/CommandBuilderUtilsSuite.java    | 10 +++++++
 3 files changed, 38 insertions(+), 1 deletion(-)

diff --git a/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java b/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
index 172fb8c560876..ff729cd1cb6dc 100644
--- a/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
+++ b/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java
@@ -21,6 +21,9 @@
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+import java.util.stream.Collectors;
 
 /**
  * Helper methods for command builders.
@@ -30,6 +33,11 @@ class CommandBuilderUtils {
   static final String DEFAULT_MEM = "1g";
   static final String DEFAULT_PROPERTIES_FILE = "spark-defaults.conf";
   static final String ENV_SPARK_HOME = "SPARK_HOME";
+  // This should be consistent with org.apache.spark.internal.config.SECRET_REDACTION_PATTERN
+  // We maintain this copy to avoid depending on `core` module.
+  static final String SECRET_REDACTION_PATTERN = "(?i)secret|password|token|access[.]?key";
+  static final Pattern redactPattern = Pattern.compile(SECRET_REDACTION_PATTERN);
+  static final Pattern keyValuePattern = Pattern.compile("-D(.+?)=(.+)");
 
   /** Returns whether the given string is null or empty. */
   static boolean isEmpty(String s) {
@@ -328,4 +336,23 @@ static String findJarsDir(String sparkHome, String scalaVersion, boolean failIfN
     return libdir.getAbsolutePath();
   }
 
+  /**
+   * Redact a command-line argument's value part which matches `-Dkey=value` pattern.
+   * Note that this should be consistent with `org.apache.spark.util.Utils.redactCommandLineArgs`.
+   */
+  static List<String> redactCommandLineArgs(List<String> args) {
+    return args.stream().map(CommandBuilderUtils::redact).collect(Collectors.toList());
+  }
+
+  /**
+   * Redact a command-line argument's value part which matches `-Dkey=value` pattern.
+   */
+  static String redact(String arg) {
+    Matcher m = keyValuePattern.matcher(arg);
+    if (m.find() && redactPattern.matcher(m.group(1)).find()) {
+      return String.format("-D%s=%s", m.group(1), "*********(redacted)");
+    } else {
+      return arg;
+    }
+  }
 }
diff --git a/launcher/src/main/java/org/apache/spark/launcher/Main.java b/launcher/src/main/java/org/apache/spark/launcher/Main.java
index 6501fc1764c25..321fca0912704 100644
--- a/launcher/src/main/java/org/apache/spark/launcher/Main.java
+++ b/launcher/src/main/java/org/apache/spark/launcher/Main.java
@@ -114,7 +114,7 @@ private static List<String> buildCommand(
       boolean printLaunchCommand) throws IOException, IllegalArgumentException {
     List<String> cmd = builder.buildCommand(env);
     if (printLaunchCommand) {
-      System.err.println("Spark Command: " + join(" ", cmd));
+      System.err.println("Spark Command: " + join(" ", redactCommandLineArgs(cmd)));
       System.err.println("========================================");
     }
     return cmd;
diff --git a/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java b/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java
index 46cdffc190d52..1b2c683880c25 100644
--- a/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java
+++ b/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java
@@ -68,6 +68,16 @@ public void testInvalidOptionStrings() {
     testInvalidOpt("'abcde");
   }
 
+  @Test
+  public void testRedactCommandLineArgs() {
+    assertEquals(redact("secret"), "secret");
+    assertEquals(redact("-Dk=v"), "-Dk=v");
+    assertEquals(redact("-Dk=secret"), "-Dk=secret");
+    assertEquals(redact("-DsecretKey=my-secret"), "-DsecretKey=*********(redacted)");
+    assertEquals(redactCommandLineArgs(Arrays.asList("-DsecretKey=my-secret")),
+      Arrays.asList("-DsecretKey=*********(redacted)"));
+  }
+
   @Test
   public void testWindowsBatchQuoting() {
     assertEquals("abc", quoteForBatchScript("abc"));

From d8242194a8c799e75ebc962f113f6f6731987c7c Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Tue, 13 Aug 2024 11:06:41 +0800
Subject: [PATCH 808/986] [SPARK-49152][SQL] V2SessionCatalog should use
 V2Command

### What changes were proposed in this pull request?

V2SessionCatalog should use V2Command when possible.

### Why are the changes needed?

This is because the session catalog can be overwritten thus the overwritten's catalog should use v2 commands, otherwise the V1Command will still call hive metastore or the built-in session catalog.
### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #47724 from amaliujia/branch-3.5.

Lead-authored-by: Rui Wang <rui.wang@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveSessionCatalog.scala      | 69 ++++++++++++++-----
 .../datasources/v2/DataSourceV2Strategy.scala |  5 +-
 ...SourceV2DataFrameSessionCatalogSuite.scala |  2 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 21 +++---
 .../connector/TestV2SessionCatalogBase.scala  | 16 +++--
 .../command/v2/ShowCreateTableSuite.scala     |  2 +-
 .../spark/sql/internal/CatalogSuite.scala     |  2 +-
 7 files changed, 76 insertions(+), 41 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index d8e19c994c59e..8c679c4d57fc3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, toPrettySQL, ResolveDefaultColumns => DefaultCols}
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogV2Util, LookupCatalog, SupportsNamespaces, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Util, LookupCatalog, SupportsNamespaces, V1Table}
 import org.apache.spark.sql.connector.expressions.Transform
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.execution.command._
@@ -66,7 +66,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
       throw QueryCompilationErrors.unsupportedTableOperationError(ident, "REPLACE COLUMNS")
 
     case a @ AlterColumn(ResolvedTable(catalog, ident, table: V1Table, _), _, _, _, _, _, _)
-        if isSessionCatalog(catalog) =>
+        if supportsV1Command(catalog) =>
       if (a.column.name.length > 1) {
         throw QueryCompilationErrors.unsupportedTableOperationError(
           catalog, ident, "ALTER COLUMN with qualified column")
@@ -117,13 +117,13 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     case UnsetViewProperties(ResolvedViewIdentifier(ident), keys, ifExists) =>
       AlterTableUnsetPropertiesCommand(ident, keys, ifExists, isView = true)
 
-    case DescribeNamespace(DatabaseInSessionCatalog(db), extended, output) if conf.useV1Command =>
+    case DescribeNamespace(ResolvedV1Database(db), extended, output) if conf.useV1Command =>
       DescribeDatabaseCommand(db, extended, output)
 
-    case SetNamespaceProperties(DatabaseInSessionCatalog(db), properties) if conf.useV1Command =>
+    case SetNamespaceProperties(ResolvedV1Database(db), properties) if conf.useV1Command =>
       AlterDatabasePropertiesCommand(db, properties)
 
-    case SetNamespaceLocation(DatabaseInSessionCatalog(db), location) if conf.useV1Command =>
+    case SetNamespaceLocation(ResolvedV1Database(db), location) if conf.useV1Command =>
       if (StringUtils.isEmpty(location)) {
         throw QueryExecutionErrors.invalidEmptyLocationError(location)
       }
@@ -218,7 +218,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     case DropTable(ResolvedIdentifier(FakeSystemCatalog, ident), _, _) =>
       DropTempViewCommand(ident)
 
-    case DropView(ResolvedV1Identifier(ident), ifExists) =>
+    case DropView(ResolvedIdentifierInSessionCatalog(ident), ifExists) =>
       DropTableCommand(ident, ifExists, isView = true, purge = false)
 
     case DropView(r @ ResolvedIdentifier(catalog, ident), _) =>
@@ -237,14 +237,14 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
       }
       CreateDatabaseCommand(name, c.ifNotExists, location, comment, newProperties)
 
-    case d @ DropNamespace(DatabaseInSessionCatalog(db), _, _) if conf.useV1Command =>
+    case d @ DropNamespace(ResolvedV1Database(db), _, _) if conf.useV1Command =>
       DropDatabaseCommand(db, d.ifExists, d.cascade)
 
-    case ShowTables(DatabaseInSessionCatalog(db), pattern, output) if conf.useV1Command =>
+    case ShowTables(ResolvedV1Database(db), pattern, output) if conf.useV1Command =>
       ShowTablesCommand(Some(db), pattern, output)
 
     case ShowTableExtended(
-        DatabaseInSessionCatalog(db),
+        ResolvedV1Database(db),
         pattern,
         partitionSpec @ (None | Some(UnresolvedPartitionSpec(_, _))),
         output) =>
@@ -265,7 +265,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
         AnalyzePartitionCommand(ident, partitionSpec, noScan)
       }
 
-    case AnalyzeTables(DatabaseInSessionCatalog(db), noScan) =>
+    case AnalyzeTables(ResolvedV1Database(db), noScan) =>
       AnalyzeTablesCommand(Some(db), noScan)
 
     case AnalyzeColumn(ResolvedV1TableOrViewIdentifier(ident), columnNames, allColumns) =>
@@ -293,7 +293,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
       if conf.useV1Command => ShowCreateTableCommand(ident, output)
 
     case ShowCreateTable(ResolvedTable(catalog, _, table: V1Table, _), _, output)
-        if isSessionCatalog(catalog) && DDLUtils.isHiveTable(table.catalogTable) =>
+        if supportsV1Command(catalog) && DDLUtils.isHiveTable(table.catalogTable) =>
       ShowCreateTableCommand(table.catalogTable.identifier, output)
 
     case TruncateTable(ResolvedV1TableIdentifier(ident)) =>
@@ -367,7 +367,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     case AlterViewAs(ResolvedViewIdentifier(ident), originalText, query) =>
       AlterViewAsCommand(ident, originalText, query)
 
-    case CreateView(ResolvedV1Identifier(ident), userSpecifiedColumns, comment,
+    case CreateView(ResolvedIdentifierInSessionCatalog(ident), userSpecifiedColumns, comment,
         properties, originalText, child, allowExisting, replace) =>
       CreateViewCommand(
         name = ident,
@@ -385,7 +385,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
 
     case ShowViews(ns: ResolvedNamespace, pattern, output) =>
       ns match {
-        case DatabaseInSessionCatalog(db) => ShowViewsCommand(db, pattern, output)
+        case ResolvedDatabaseInSessionCatalog(db) => ShowViewsCommand(db, pattern, output)
         case _ =>
           throw QueryCompilationErrors.missingCatalogAbilityError(ns.catalog, "views")
       }
@@ -408,7 +408,8 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
         throw QueryCompilationErrors.missingCatalogAbilityError(catalog, "functions")
       }
 
-    case ShowFunctions(DatabaseInSessionCatalog(db), userScope, systemScope, pattern, output) =>
+    case ShowFunctions(
+        ResolvedDatabaseInSessionCatalog(db), userScope, systemScope, pattern, output) =>
       ShowFunctionsCommand(db, pattern, userScope, systemScope, output)
 
     case DropFunction(ResolvedPersistentFunc(catalog, identifier, _), ifExists) =>
@@ -429,7 +430,8 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
         throw QueryCompilationErrors.missingCatalogAbilityError(catalog, "REFRESH FUNCTION")
       }
 
-    case CreateFunction(ResolvedV1Identifier(ident), className, resources, ifExists, replace) =>
+    case CreateFunction(
+        ResolvedIdentifierInSessionCatalog(ident), className, resources, ifExists, replace) =>
       CreateFunctionCommand(
         FunctionIdentifier(ident.table, ident.database, ident.catalog),
         className,
@@ -564,7 +566,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
 
   object ResolvedV1TableIdentifier {
     def unapply(resolved: LogicalPlan): Option[TableIdentifier] = resolved match {
-      case ResolvedTable(catalog, _, t: V1Table, _) if isSessionCatalog(catalog) =>
+      case ResolvedTable(catalog, _, t: V1Table, _) if supportsV1Command(catalog) =>
         Some(t.catalogTable.identifier)
       case _ => None
     }
@@ -579,6 +581,18 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
   }
 
   object ResolvedV1Identifier {
+    def unapply(resolved: LogicalPlan): Option[TableIdentifier] = resolved match {
+      case ResolvedIdentifier(catalog, ident) if supportsV1Command(catalog) =>
+        if (ident.namespace().length != 1) {
+          throw QueryCompilationErrors.requiresSinglePartNamespaceError(ident.namespace())
+        }
+        Some(TableIdentifier(ident.name, Some(ident.namespace.head), Some(catalog.name)))
+      case _ => None
+    }
+  }
+
+  // Use this object to help match commands that do not have a v2 implementation.
+  object ResolvedIdentifierInSessionCatalog{
     def unapply(resolved: LogicalPlan): Option[TableIdentifier] = resolved match {
       case ResolvedIdentifier(catalog, ident) if isSessionCatalog(catalog) =>
         if (ident.namespace().length != 1) {
@@ -610,7 +624,21 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     }
   }
 
-  private object DatabaseInSessionCatalog {
+  private object ResolvedV1Database {
+    def unapply(resolved: ResolvedNamespace): Option[String] = resolved match {
+      case ResolvedNamespace(catalog, _) if !supportsV1Command(catalog) => None
+      case ResolvedNamespace(_, Seq()) =>
+        throw QueryCompilationErrors.databaseFromV1SessionCatalogNotSpecifiedError()
+      case ResolvedNamespace(_, Seq(dbName)) => Some(dbName)
+      case _ =>
+        assert(resolved.namespace.length > 1)
+        throw QueryCompilationErrors.nestedDatabaseUnsupportedByV1SessionCatalogError(
+          resolved.namespace.map(quoteIfNeeded).mkString("."))
+    }
+  }
+
+  // Use this object to help match commands that do not have a v2 implementation.
+  private object ResolvedDatabaseInSessionCatalog {
     def unapply(resolved: ResolvedNamespace): Option[String] = resolved match {
       case ResolvedNamespace(catalog, _) if !isSessionCatalog(catalog) => None
       case ResolvedNamespace(_, Seq()) =>
@@ -625,11 +653,16 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
 
   private object DatabaseNameInSessionCatalog {
     def unapply(resolved: ResolvedNamespace): Option[String] = resolved match {
-      case ResolvedNamespace(catalog, _) if !isSessionCatalog(catalog) => None
+      case ResolvedNamespace(catalog, _) if !supportsV1Command(catalog) => None
       case ResolvedNamespace(_, Seq(dbName)) => Some(dbName)
       case _ =>
         assert(resolved.namespace.length > 1)
         throw QueryCompilationErrors.invalidDatabaseNameError(resolved.namespace.quoted)
     }
   }
+
+  private def supportsV1Command(catalog: CatalogPlugin): Boolean = {
+    catalog.name().equalsIgnoreCase(CatalogManager.SESSION_CATALOG_NAME) &&
+      !SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
index 0106a9c5aea0e..5fd4aa970a62a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
@@ -69,6 +69,8 @@ class DataSourceV2Strategy(session: SparkSession) extends Strategy with Predicat
     }
   }
 
+  private def hadoopConf = session.sessionState.newHadoopConf()
+
   private def refreshCache(r: DataSourceV2Relation)(): Unit = {
     session.sharedState.cacheManager.recacheByPlan(session, r)
   }
@@ -103,7 +105,8 @@ class DataSourceV2Strategy(session: SparkSession) extends Strategy with Predicat
   }
 
   private def qualifyLocInTableSpec(tableSpec: TableSpec): TableSpec = {
-    tableSpec.withNewLocation(tableSpec.location.map(makeQualifiedDBObjectPath(_)))
+    tableSpec.withNewLocation(tableSpec.location.map(loc => CatalogUtils.makeQualifiedPath(
+      CatalogUtils.stringToURI(loc), hadoopConf).toString))
   }
 
   override def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
index 79fbabbeacaa6..219c8e198fa00 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
@@ -84,7 +84,7 @@ class DataSourceV2DataFrameSessionCatalogSuite
       spark.range(20).write.format(v2Format).option("path", "/abc").saveAsTable(t1)
       val cat = spark.sessionState.catalogManager.currentCatalog.asInstanceOf[TableCatalog]
       val tableInfo = cat.loadTable(Identifier.of(Array("default"), t1))
-      assert(tableInfo.properties().get("location") === "file:/abc")
+      assert(tableInfo.properties().get("location") === "file:///abc")
       assert(tableInfo.properties().get("provider") === v2Format)
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 01d878f2d2b4b..77e447062d40e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -441,8 +441,8 @@ class DataSourceV2SQLSuiteV1Filter
           "AS SELECT id FROM source")
         val location = spark.sql(s"DESCRIBE EXTENDED $identifier")
           .filter("col_name = 'Location'")
-          .select("data_type").head.getString(0)
-        assert(location === "file:/tmp/foo")
+          .select("data_type").head().getString(0)
+        assert(location === "file:///tmp/foo")
       }
     }
   }
@@ -458,8 +458,8 @@ class DataSourceV2SQLSuiteV1Filter
           "AS SELECT id FROM source")
         val location = spark.sql(s"DESCRIBE EXTENDED $identifier")
           .filter("col_name = 'Location'")
-          .select("data_type").head.getString(0)
-        assert(location === "file:/tmp/foo")
+          .select("data_type").head().getString(0)
+        assert(location === "file:///tmp/foo")
       }
     }
   }
@@ -2068,15 +2068,10 @@ class DataSourceV2SQLSuiteV1Filter
   }
 
   test("REPLACE TABLE: v1 table") {
-    val e = intercept[AnalysisException] {
-      sql(s"CREATE OR REPLACE TABLE tbl (a int) USING ${classOf[SimpleScanSource].getName}")
-    }
-    checkError(
-      exception = e,
-      errorClass = "UNSUPPORTED_FEATURE.TABLE_OPERATION",
-      sqlState = "0A000",
-      parameters = Map("tableName" -> "`spark_catalog`.`default`.`tbl`",
-        "operation" -> "REPLACE TABLE"))
+    sql(s"CREATE OR REPLACE TABLE tbl (a int) USING ${classOf[SimpleScanSource].getName}")
+    val v2Catalog = catalog("spark_catalog").asTableCatalog
+    val table = v2Catalog.loadTable(Identifier.of(Array("default"), "tbl"))
+    assert(table.properties().get(TableCatalog.PROP_PROVIDER) == classOf[SimpleScanSource].getName)
   }
 
   test("DeleteFrom: - delete with invalid predicate") {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
index 46586c622db79..9042231bdc59f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
@@ -79,18 +79,22 @@ private[connector] trait TestV2SessionCatalogBase[T <: Table] extends Delegating
       partitions: Array[Transform],
       properties: java.util.Map[String, String]): Table = {
     val key = TestV2SessionCatalogBase.SIMULATE_ALLOW_EXTERNAL_PROPERTY
-    val propsWithLocation = if (properties.containsKey(key)) {
+    val newProps = new java.util.HashMap[String, String]()
+    newProps.putAll(properties)
+    if (properties.containsKey(TableCatalog.PROP_LOCATION)) {
+      newProps.put(TableCatalog.PROP_EXTERNAL, "true")
+    }
+
+    val propsWithLocation = if (newProps.containsKey(key)) {
       // Always set a location so that CREATE EXTERNAL TABLE won't fail with LOCATION not specified.
-      if (!properties.containsKey(TableCatalog.PROP_LOCATION)) {
-        val newProps = new java.util.HashMap[String, String]()
-        newProps.putAll(properties)
+      if (!newProps.containsKey(TableCatalog.PROP_LOCATION)) {
         newProps.put(TableCatalog.PROP_LOCATION, "file:/abc")
         newProps
       } else {
-        properties
+        newProps
       }
     } else {
-      properties
+      newProps
     }
     val created = super.createTable(ident, schema, partitions, propsWithLocation)
     val t = newTable(created.name(), schema, partitions, propsWithLocation)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
index adda9dcfffe46..fec33d811b461 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
@@ -106,7 +106,7 @@ class ShowCreateTableSuite extends command.ShowCreateTableSuiteBase with Command
         "'via' = '2')",
         "PARTITIONED BY (a)",
         "COMMENT 'This is a comment'",
-        "LOCATION 'file:/tmp'",
+        "LOCATION 'file:///tmp'",
         "TBLPROPERTIES (",
         "'password' = '*********(redacted)',",
         "'prop1' = '1',",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
index c6bf220e45d52..c70675497064e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
@@ -754,7 +754,7 @@ class CatalogSuite extends SharedSparkSession with AnalysisTest with BeforeAndAf
       assert(table.properties().get("comment").equals(description))
       assert(table.properties().get("path").equals(dir.getAbsolutePath))
       assert(table.properties().get("external").equals("true"))
-      assert(table.properties().get("location").equals("file:" + dir.getAbsolutePath))
+      assert(table.properties().get("location").equals("file://" + dir.getAbsolutePath))
     }
   }
 

From 6a250e7910c691e7b74989e0b6ef9418a6a7c60b Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 13 Aug 2024 13:07:51 +0800
Subject: [PATCH 809/986] [SPARK-49179][SQL] Fix v2 multi bucketed inner joins
 throw AssertionError

### What changes were proposed in this pull request?

For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering.

### Why are the changes needed?

Fix exception if the query contains multi bucketed inner joins

```sql
SELECT * FROM testcat.ns.t1
JOIN testcat.ns.t2 ON t1.id = t2.id
JOIN testcat.ns.t3 ON t1.id = t3.id
```

```
Cause: java.lang.AssertionError: assertion failed
at scala.Predef$.assert(Predef.scala:264)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385)
at scala.collection.immutable.List.map(List.scala:247)
at scala.collection.immutable.List.map(List.scala:79)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166)
at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714)
at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882)
```

### Does this PR introduce _any_ user-facing change?

yes, it's a bug fix

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47683 from ulysses-you/SPARK-49179.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
(cherry picked from commit 8133294d6c2c925b97b3dbfcd3aa5e0762882d5f)
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../exchange/EnsureRequirements.scala         |  7 +++---
 .../KeyGroupedPartitioningSuite.scala         | 22 +++++++++++++++++++
 2 files changed, 25 insertions(+), 4 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
index 42c880e7c6262..ee0ea11816f9a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
@@ -550,7 +550,7 @@ case class EnsureRequirements(
   private def createKeyGroupedShuffleSpec(
       partitioning: Partitioning,
       distribution: ClusteredDistribution): Option[KeyGroupedShuffleSpec] = {
-    def check(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
+    def tryCreate(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
       val attributes = partitioning.expressions.flatMap(_.collectLeaves())
       val clustering = distribution.clustering
 
@@ -570,11 +570,10 @@ case class EnsureRequirements(
     }
 
     partitioning match {
-      case p: KeyGroupedPartitioning => check(p)
+      case p: KeyGroupedPartitioning => tryCreate(p)
       case PartitioningCollection(partitionings) =>
         val specs = partitionings.map(p => createKeyGroupedShuffleSpec(p, distribution))
-        assert(specs.forall(_.isEmpty) || specs.forall(_.isDefined))
-        specs.head
+        specs.filter(_.isDefined).map(_.get).headOption
       case _ => None
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 6b07c77aefb60..0718f090cff46 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -330,6 +330,28 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       .add("price", FloatType)
       .add("time", TimestampType)
 
+  test("SPARK-49179: Fix v2 multi bucketed inner joins throw AssertionError") {
+    val cols = Array(
+      Column.create("id", LongType),
+      Column.create("name", StringType))
+    val buckets = Array(bucket(8, "id"))
+
+    withTable("t1", "t2", "t3") {
+      Seq("t1", "t2", "t3").foreach { t =>
+        createTable(t, cols, buckets)
+        sql(s"INSERT INTO testcat.ns.$t VALUES (1, 'aa'), (2, 'bb'), (3, 'cc')")
+      }
+      val df = sql(
+        """
+          |SELECT t1.id, t2.id, t3.name FROM testcat.ns.t1
+          |JOIN testcat.ns.t2 ON t1.id = t2.id
+          |JOIN testcat.ns.t3 ON t1.id = t3.id
+          |""".stripMargin)
+      checkAnswer(df, Seq(Row(1, 1, "aa"), Row(2, 2, "bb"), Row(3, 3, "cc")))
+      assert(collectShuffles(df.queryExecution.executedPlan).isEmpty)
+    }
+  }
+
   test("partitioned join: join with two partition keys and matching & sorted partitions") {
     val items_partitions = Array(bucket(8, "id"), days("arrive_time"))
     createTable(items, items_schema, items_partitions)

From 6859ef9da7368bbffa811ba4c744676ae9299c77 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 12 Aug 2024 22:46:25 -0700
Subject: [PATCH 810/986] Revert "[SPARK-49179][SQL] Fix v2 multi bucketed
 inner joins throw AssertionError"

This reverts commit 6a250e7910c691e7b74989e0b6ef9418a6a7c60b.
---
 .../exchange/EnsureRequirements.scala         |  7 +++---
 .../KeyGroupedPartitioningSuite.scala         | 22 -------------------
 2 files changed, 4 insertions(+), 25 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
index ee0ea11816f9a..42c880e7c6262 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
@@ -550,7 +550,7 @@ case class EnsureRequirements(
   private def createKeyGroupedShuffleSpec(
       partitioning: Partitioning,
       distribution: ClusteredDistribution): Option[KeyGroupedShuffleSpec] = {
-    def tryCreate(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
+    def check(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
       val attributes = partitioning.expressions.flatMap(_.collectLeaves())
       val clustering = distribution.clustering
 
@@ -570,10 +570,11 @@ case class EnsureRequirements(
     }
 
     partitioning match {
-      case p: KeyGroupedPartitioning => tryCreate(p)
+      case p: KeyGroupedPartitioning => check(p)
       case PartitioningCollection(partitionings) =>
         val specs = partitionings.map(p => createKeyGroupedShuffleSpec(p, distribution))
-        specs.filter(_.isDefined).map(_.get).headOption
+        assert(specs.forall(_.isEmpty) || specs.forall(_.isDefined))
+        specs.head
       case _ => None
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 0718f090cff46..6b07c77aefb60 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -330,28 +330,6 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       .add("price", FloatType)
       .add("time", TimestampType)
 
-  test("SPARK-49179: Fix v2 multi bucketed inner joins throw AssertionError") {
-    val cols = Array(
-      Column.create("id", LongType),
-      Column.create("name", StringType))
-    val buckets = Array(bucket(8, "id"))
-
-    withTable("t1", "t2", "t3") {
-      Seq("t1", "t2", "t3").foreach { t =>
-        createTable(t, cols, buckets)
-        sql(s"INSERT INTO testcat.ns.$t VALUES (1, 'aa'), (2, 'bb'), (3, 'cc')")
-      }
-      val df = sql(
-        """
-          |SELECT t1.id, t2.id, t3.name FROM testcat.ns.t1
-          |JOIN testcat.ns.t2 ON t1.id = t2.id
-          |JOIN testcat.ns.t3 ON t1.id = t3.id
-          |""".stripMargin)
-      checkAnswer(df, Seq(Row(1, 1, "aa"), Row(2, 2, "bb"), Row(3, 3, "cc")))
-      assert(collectShuffles(df.queryExecution.executedPlan).isEmpty)
-    }
-  }
-
   test("partitioned join: join with two partition keys and matching & sorted partitions") {
     val items_partitions = Array(bucket(8, "id"), days("arrive_time"))
     createTable(items, items_schema, items_partitions)

From 5463bfce343ced900608a51f9fd3c903b831183e Mon Sep 17 00:00:00 2001
From: ulysses-you <ulyssesyou18@gmail.com>
Date: Tue, 13 Aug 2024 16:59:50 +0800
Subject: [PATCH 811/986] [SPARK-49179][SQL][3.5] Fix v2 multi bucketed inner
 joins throw AssertionError

backport https://github.com/apache/spark/pull/47683 to branch-3.5

### What changes were proposed in this pull request?

For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering.

### Why are the changes needed?

Fix exception if the query contains multi bucketed inner joins

```sql
SELECT * FROM testcat.ns.t1
JOIN testcat.ns.t2 ON t1.id = t2.id
JOIN testcat.ns.t3 ON t1.id = t3.id
```

```
Cause: java.lang.AssertionError: assertion failed
at scala.Predef$.assert(Predef.scala:264)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385)
at scala.collection.immutable.List.map(List.scala:247)
at scala.collection.immutable.List.map(List.scala:79)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166)
at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714)
at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689)
at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882)
```

### Does this PR introduce _any_ user-facing change?

yes, it's a bug fix

### How was this patch tested?

add test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47735 from ulysses-you/SPARK-49179-3.5.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: youxiduo <youxiduo@corp.netease.com>
---
 .../exchange/EnsureRequirements.scala         |  7 +++---
 .../KeyGroupedPartitioningSuite.scala         | 22 +++++++++++++++++++
 2 files changed, 25 insertions(+), 4 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
index 42c880e7c6262..ee0ea11816f9a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
@@ -550,7 +550,7 @@ case class EnsureRequirements(
   private def createKeyGroupedShuffleSpec(
       partitioning: Partitioning,
       distribution: ClusteredDistribution): Option[KeyGroupedShuffleSpec] = {
-    def check(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
+    def tryCreate(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
       val attributes = partitioning.expressions.flatMap(_.collectLeaves())
       val clustering = distribution.clustering
 
@@ -570,11 +570,10 @@ case class EnsureRequirements(
     }
 
     partitioning match {
-      case p: KeyGroupedPartitioning => check(p)
+      case p: KeyGroupedPartitioning => tryCreate(p)
       case PartitioningCollection(partitionings) =>
         val specs = partitionings.map(p => createKeyGroupedShuffleSpec(p, distribution))
-        assert(specs.forall(_.isEmpty) || specs.forall(_.isDefined))
-        specs.head
+        specs.filter(_.isDefined).map(_.get).headOption
       case _ => None
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
index 6b07c77aefb60..71e030f535e9d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
@@ -330,6 +330,28 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       .add("price", FloatType)
       .add("time", TimestampType)
 
+  test("SPARK-49179: Fix v2 multi bucketed inner joins throw AssertionError") {
+    val cols = new StructType()
+      .add("id", LongType)
+      .add("name", StringType)
+    val buckets = Array(bucket(8, "id"))
+
+    withTable("t1", "t2", "t3") {
+      Seq("t1", "t2", "t3").foreach { t =>
+        createTable(t, cols, buckets)
+        sql(s"INSERT INTO testcat.ns.$t VALUES (1, 'aa'), (2, 'bb'), (3, 'cc')")
+      }
+      val df = sql(
+        """
+          |SELECT t1.id, t2.id, t3.name FROM testcat.ns.t1
+          |JOIN testcat.ns.t2 ON t1.id = t2.id
+          |JOIN testcat.ns.t3 ON t1.id = t3.id
+          |""".stripMargin)
+      checkAnswer(df, Seq(Row(1, 1, "aa"), Row(2, 2, "bb"), Row(3, 3, "cc")))
+      assert(collectShuffles(df.queryExecution.executedPlan).isEmpty)
+    }
+  }
+
   test("partitioned join: join with two partition keys and matching & sorted partitions") {
     val items_partitions = Array(bucket(8, "id"), days("arrive_time"))
     createTable(items, items_schema, items_partitions)

From bd2cbd6ac5d7cbfce332cfdb3f31be27105ed36d Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 13 Aug 2024 22:46:48 -0700
Subject: [PATCH 812/986] [SPARK-49038][SQL][3.5] SQLMetric should report the
 raw value in the accumulator update event

backport https://github.com/apache/spark/pull/47721 to 3.5

### What changes were proposed in this pull request?

Some `SQLMetrics` set the initial value to `-1`, so that we can recognize no-update metrics (e.g. there is no input data and the metric is not updated at all) and filter them out later in the UI.

However, there is a bug here. Spark turns accumulator updates into `AccumulableInfo`, using `AccumulatorV2#value`. To avoid exposing the internal `-1` value to end users, `SQLMetric#value` turns `-1` into `0` before returning the value. See more details in https://github.com/apache/spark/pull/39311 . UI can no longer see `-1` and filter them out.

This PR fixes the bug by using the raw value of `SQLMetric` to create `AccumulableInfo`, so that UI can still see `-1` and filters it.

### Why are the changes needed?

To avoid getting the wrong min value for certain SQL metrics when some partitions have no data.

### Does this PR introduce _any_ user-facing change?

Yes, if people write spark listeners to watch the `SparkListenerExecutorMetricsUpdate` event, they can see the correct value of SQL metrics.

### How was this patch tested?

manual UI tests. We do not have an end-to-end UI test framework for SQL metrics yet.

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47749 from cloud-fan/branch-3.5.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
---
 .../scala/org/apache/spark/executor/Executor.scala     |  2 +-
 .../org/apache/spark/scheduler/TaskSchedulerImpl.scala |  2 +-
 .../scala/org/apache/spark/util/AccumulatorV2.scala    | 10 +++++++++-
 .../scala/org/apache/spark/util/JsonProtocol.scala     |  2 +-
 .../test/scala/org/apache/spark/AccumulatorSuite.scala |  2 +-
 .../apache/spark/sql/execution/metric/SQLMetrics.scala |  7 +++++++
 .../spark/sql/execution/ui/SQLAppStatusListener.scala  |  2 +-
 .../spark/sql/execution/metric/SQLMetricsSuite.scala   |  5 +++++
 .../sql/execution/metric/SQLMetricsTestUtils.scala     |  2 +-
 9 files changed, 27 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala
index 9290b5b36a8f7..69a91839bbeb5 100644
--- a/core/src/main/scala/org/apache/spark/executor/Executor.scala
+++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala
@@ -530,7 +530,7 @@ private[spark] class Executor(
       // Collect latest accumulator values to report back to the driver
       val accums: Seq[AccumulatorV2[_, _]] =
         Option(task).map(_.collectAccumulatorUpdates(taskFailed = true)).getOrElse(Seq.empty)
-      val accUpdates = accums.map(acc => acc.toInfo(Some(acc.value), None))
+      val accUpdates = accums.map(acc => acc.toInfoUpdate)
 
       setTaskFinishedAndClearInterruptStatus()
       (accums, accUpdates)
diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
index 0cb970fd27880..5e9716dfcfe90 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
@@ -901,7 +901,7 @@ private[spark] class TaskSchedulerImpl(
          executorRunTime = acc.value.asInstanceOf[Long]
        }
      }
-     acc.toInfo(Some(acc.value), None)
+     acc.toInfoUpdate
    }
    val taskProcessRate = if (efficientTaskCalcualtionEnabled) {
      getTaskProcessRate(recordsRead, executorRunTime)
diff --git a/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala b/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
index 181033c9d20c8..aadde1e20226a 100644
--- a/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
+++ b/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
@@ -102,16 +102,24 @@ abstract class AccumulatorV2[IN, OUT] extends Serializable {
     metadata.countFailedValues
   }
 
+  private def isInternal = name.exists(_.startsWith(InternalAccumulator.METRICS_PREFIX))
+
   /**
    * Creates an [[AccumulableInfo]] representation of this [[AccumulatorV2]] with the provided
    * values.
    */
   private[spark] def toInfo(update: Option[Any], value: Option[Any]): AccumulableInfo = {
-    val isInternal = name.exists(_.startsWith(InternalAccumulator.METRICS_PREFIX))
     AccumulableInfo(id, name, internOption(update), internOption(value), isInternal,
       countFailedValues)
   }
 
+  /**
+   * Creates an [[AccumulableInfo]] representation of this [[AccumulatorV2]] as an update.
+   */
+  private[spark] def toInfoUpdate: AccumulableInfo = {
+    AccumulableInfo(id, name, internOption(Some(value)), None, isInternal, countFailedValues)
+  }
+
   final private[spark] def isAtDriverSide: Boolean = atDriverSide
 
   /**
diff --git a/core/src/main/scala/org/apache/spark/util/JsonProtocol.scala b/core/src/main/scala/org/apache/spark/util/JsonProtocol.scala
index 025e5d5bac94b..377caf776deb0 100644
--- a/core/src/main/scala/org/apache/spark/util/JsonProtocol.scala
+++ b/core/src/main/scala/org/apache/spark/util/JsonProtocol.scala
@@ -1350,7 +1350,7 @@ private[spark] object JsonProtocol extends JsonUtils {
         val accumUpdates = jsonOption(json.get("Accumulator Updates"))
           .map(_.extractElements.map(accumulableInfoFromJson).toArray.toSeq)
           .getOrElse(taskMetricsFromJson(json.get("Metrics")).accumulators().map(acc => {
-            acc.toInfo(Some(acc.value), None)
+            acc.toInfoUpdate
           }).toArray.toSeq)
         ExceptionFailure(className, description, stackTrace, fullStackTrace, None, accumUpdates)
       case `taskResultLost` => TaskResultLost
diff --git a/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala b/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala
index 9b70ccdf07e1b..a9d7e8a0f2eda 100644
--- a/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala
@@ -147,7 +147,7 @@ private[spark] object AccumulatorSuite {
    * Make an `AccumulableInfo` out of an `AccumulatorV2` with the intent to use the
    * info as an accumulator update.
    */
-  def makeInfo(a: AccumulatorV2[_, _]): AccumulableInfo = a.toInfo(Some(a.value), None)
+  def makeInfo(a: AccumulatorV2[_, _]): AccumulableInfo = a.toInfoUpdate
 
   /**
    * Run one or more Spark jobs and verify that in at least one job the peak execution memory
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/metric/SQLMetrics.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/metric/SQLMetrics.scala
index 3326c5d4cb994..09406345ed770 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/metric/SQLMetrics.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/metric/SQLMetrics.scala
@@ -90,6 +90,13 @@ class SQLMetric(val metricType: String, initValue: Long = 0L) extends Accumulato
     AccumulableInfo(id, name, internOption(update), internOption(value), true, true,
       SQLMetrics.cachedSQLAccumIdentifier)
   }
+
+  // We should provide the raw value which can be -1, so that `SQLMetrics.stringValue` can correctly
+  // filter out the invalid -1 values.
+  override def toInfoUpdate: AccumulableInfo = {
+    AccumulableInfo(id, name, internOption(Some(_value)), None, true, true,
+      SQLMetrics.cachedSQLAccumIdentifier)
+  }
 }
 
 object SQLMetrics {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
index 067f7305ab113..17de4d42257b4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala
@@ -181,7 +181,7 @@ class SQLAppStatusListener(
       event.taskMetrics.withExternalAccums(_.flatMap { a =>
         // This call may fail if the accumulator is gc'ed, so account for that.
         try {
-          Some(a.toInfo(Some(a.value), None))
+          Some(a.toInfoUpdate)
         } catch {
           case _: IllegalAccessError => None
         }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
index 6347757e178c0..5cdbdc27b3259 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
@@ -960,6 +960,11 @@ class SQLMetricsSuite extends SharedSparkSession with SQLMetricsTestUtils
     assert(SQLMetrics.createNanoTimingMetric(sparkContext, name = "m", initValue = -1).isZero())
     assert(SQLMetrics.createNanoTimingMetric(sparkContext, name = "m", initValue = 5).isZero())
   }
+
+  test("SQLMetric#toInfoUpdate") {
+    assert(SQLMetrics.createSizeMetric(sparkContext, name = "m").toInfoUpdate.update === Some(-1))
+    assert(SQLMetrics.createMetric(sparkContext, name = "m").toInfoUpdate.update === Some(0))
+  }
 }
 
 case class CustomFileCommitProtocol(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
index 46dc84c0582f8..e964867cb86ec 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
@@ -312,7 +312,7 @@ object InputOutputMetricsHelper {
 
       var maxOutputRows = 0L
       taskEnd.taskMetrics.withExternalAccums(_.foreach { accum =>
-        val info = accum.toInfo(Some(accum.value), None)
+        val info = accum.toInfoUpdate
         if (info.name.toString.contains("number of output rows")) {
           info.update match {
             case Some(n: Number) =>

From 8d05bf2bd0173d291848f4538ff218330229f9cb Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 15 Aug 2024 10:47:18 +0800
Subject: [PATCH 813/986] [SPARK-49152][SQL][FOLLOWUP][3.5] table location
 string should be Hadoop Path string

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/47660 to restore the behavior change. The table location string should be Hadoop Path string instead of URL string which escapes all special chars.

### Why are the changes needed?

restore the unintentional behavior change.

### Does this PR introduce _any_ user-facing change?

No, it's not released yet

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47765 from cloud-fan/fix.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/connector/catalog/TableCatalog.java   |  2 +-
 .../spark/sql/connector/catalog/V1Table.scala |  8 ++++--
 .../analysis/ResolveSessionCatalog.scala      | 11 ++++++--
 .../datasources/v2/DataSourceV2Strategy.scala | 16 +++++++++--
 .../results/show-create-table.sql.out         |  4 +--
 ...SourceV2DataFrameSessionCatalogSuite.scala |  2 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 28 +++++++++++++++----
 .../command/v2/ShowCreateTableSuite.scala     |  2 +-
 .../spark/sql/internal/CatalogSuite.scala     |  2 +-
 9 files changed, 57 insertions(+), 18 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
index 29c2da307a0f6..b990f59bfd90e 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
@@ -46,7 +46,7 @@ public interface TableCatalog extends CatalogPlugin {
 
   /**
    * A reserved property to specify the location of the table. The files of the table
-   * should be under this location.
+   * should be under this location. The location is a Hadoop Path string.
    */
   String PROP_LOCATION = "location";
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/V1Table.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/V1Table.scala
index da201e816497c..8928ba57f06c9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/V1Table.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/V1Table.scala
@@ -22,7 +22,7 @@ import java.util
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 
-import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType}
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType, CatalogUtils}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.TableIdentifierHelper
 import org.apache.spark.sql.connector.catalog.V1Table.addV2TableProperties
 import org.apache.spark.sql.connector.expressions.{LogicalExpressions, Transform}
@@ -38,7 +38,7 @@ private[sql] case class V1Table(v1Table: CatalogTable) extends Table {
   lazy val options: Map[String, String] = {
     v1Table.storage.locationUri match {
       case Some(uri) =>
-        v1Table.storage.properties + ("path" -> uri.toString)
+        v1Table.storage.properties + ("path" -> CatalogUtils.URIToString(uri))
       case _ =>
         v1Table.storage.properties
     }
@@ -81,7 +81,9 @@ private[sql] object V1Table {
         TableCatalog.OPTION_PREFIX + key -> value } ++
       v1Table.provider.map(TableCatalog.PROP_PROVIDER -> _) ++
       v1Table.comment.map(TableCatalog.PROP_COMMENT -> _) ++
-      v1Table.storage.locationUri.map(TableCatalog.PROP_LOCATION -> _.toString) ++
+      v1Table.storage.locationUri.map { loc =>
+        TableCatalog.PROP_LOCATION -> CatalogUtils.URIToString(loc)
+      } ++
       (if (managed) Some(TableCatalog.PROP_IS_MANAGED_LOCATION -> "true") else None) ++
       (if (external) Some(TableCatalog.PROP_EXTERNAL -> "true") else None) ++
       Some(TableCatalog.PROP_OWNER -> v1Table.owner)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index 8c679c4d57fc3..aee243b6529da 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -361,8 +361,15 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
         serdeProperties,
         partitionSpec)
 
-    case SetTableLocation(ResolvedV1TableIdentifier(ident), partitionSpec, location) =>
-      AlterTableSetLocationCommand(ident, partitionSpec, location)
+    case SetTableLocation(ResolvedV1TableIdentifier(ident), None, location) =>
+      AlterTableSetLocationCommand(ident, None, location)
+
+    // V2 catalog doesn't support setting partition location yet, we must use v1 command here.
+    case SetTableLocation(
+        ResolvedTable(catalog, _, t: V1Table, _),
+        Some(partitionSpec),
+        location) if isSessionCatalog(catalog) =>
+      AlterTableSetLocationCommand(t.v1Table.identifier, Some(partitionSpec), location)
 
     case AlterViewAs(ResolvedViewIdentifier(ident), originalText, query) =>
       AlterViewAsCommand(ident, originalText, query)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
index 5fd4aa970a62a..d46c5116e6151 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.datasources.v2
 import scala.collection.mutable
 
 import org.apache.commons.lang3.StringUtils
+import org.apache.hadoop.fs.Path
 
 import org.apache.spark.SparkException
 import org.apache.spark.internal.Logging
@@ -105,8 +106,19 @@ class DataSourceV2Strategy(session: SparkSession) extends Strategy with Predicat
   }
 
   private def qualifyLocInTableSpec(tableSpec: TableSpec): TableSpec = {
-    tableSpec.withNewLocation(tableSpec.location.map(loc => CatalogUtils.makeQualifiedPath(
-      CatalogUtils.stringToURI(loc), hadoopConf).toString))
+    val newLoc = tableSpec.location.map { loc =>
+      val locationUri = CatalogUtils.stringToURI(loc)
+      val qualified = if (locationUri.isAbsolute) {
+        locationUri
+      } else if (new Path(locationUri).isAbsolute) {
+        CatalogUtils.makeQualifiedPath(locationUri, hadoopConf)
+      } else {
+        // Leave it to the catalog implementation to qualify relative paths.
+        locationUri
+      }
+      CatalogUtils.URIToString(qualified)
+    }
+    tableSpec.withNewLocation(newLoc)
   }
 
   override def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
diff --git a/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out b/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
index dcb96b9d2dce6..e1f4e3068b458 100644
--- a/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/show-create-table.sql.out
@@ -78,7 +78,7 @@ CREATE TABLE spark_catalog.default.tbl (
   b STRING,
   c INT)
 USING parquet
-LOCATION 'file:///path/to/table'
+LOCATION 'file:/path/to/table'
 
 
 -- !query
@@ -108,7 +108,7 @@ CREATE TABLE spark_catalog.default.tbl (
   b STRING,
   c INT)
 USING parquet
-LOCATION 'file:///path/to/table'
+LOCATION 'file:/path/to/table'
 
 
 -- !query
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
index 219c8e198fa00..79fbabbeacaa6 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
@@ -84,7 +84,7 @@ class DataSourceV2DataFrameSessionCatalogSuite
       spark.range(20).write.format(v2Format).option("path", "/abc").saveAsTable(t1)
       val cat = spark.sessionState.catalogManager.currentCatalog.asInstanceOf[TableCatalog]
       val tableInfo = cat.loadTable(Identifier.of(Array("default"), t1))
-      assert(tableInfo.properties().get("location") === "file:///abc")
+      assert(tableInfo.properties().get("location") === "file:/abc")
       assert(tableInfo.properties().get("provider") === v2Format)
     }
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 77e447062d40e..0638b50cfb9d3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -432,6 +432,25 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-49152: CreateTable should store location as qualified") {
+    val tbl = "testcat.table_name"
+
+    def testWithLocation(location: String, qualified: String): Unit = {
+      withTable(tbl) {
+        sql(s"CREATE TABLE $tbl USING foo LOCATION '$location'")
+        val loc = catalog("testcat").asTableCatalog
+          .loadTable(Identifier.of(Array.empty, "table_name"))
+          .properties().get(TableCatalog.PROP_LOCATION)
+        assert(loc === qualified)
+      }
+    }
+
+    testWithLocation("/absolute/path", "file:/absolute/path")
+    testWithLocation("s3://host/full/path", "s3://host/full/path")
+    testWithLocation("relative/path", "relative/path")
+    testWithLocation("/path/special+ char", "file:/path/special+ char")
+  }
+
   test("SPARK-37545: CreateTableAsSelect should store location as qualified") {
     val basicIdentifier = "testcat.table_name"
     val atomicIdentifier = "testcat_atomic.table_name"
@@ -442,7 +461,7 @@ class DataSourceV2SQLSuiteV1Filter
         val location = spark.sql(s"DESCRIBE EXTENDED $identifier")
           .filter("col_name = 'Location'")
           .select("data_type").head().getString(0)
-        assert(location === "file:///tmp/foo")
+        assert(location === "file:/tmp/foo")
       }
     }
   }
@@ -459,7 +478,7 @@ class DataSourceV2SQLSuiteV1Filter
         val location = spark.sql(s"DESCRIBE EXTENDED $identifier")
           .filter("col_name = 'Location'")
           .select("data_type").head().getString(0)
-        assert(location === "file:///tmp/foo")
+        assert(location === "file:/tmp/foo")
       }
     }
   }
@@ -1357,8 +1376,7 @@ class DataSourceV2SQLSuiteV1Filter
             val identifier = Identifier.of(Array(), "reservedTest")
             val location = tableCatalog.loadTable(identifier).properties()
               .get(TableCatalog.PROP_LOCATION)
-            assert(location.startsWith("file:") && location.endsWith("foo"),
-              "path as a table property should not have side effects")
+            assert(location == "foo", "path as a table property should not have side effects")
             assert(tableCatalog.loadTable(identifier).properties().get("path") == "bar",
               "path as a table property should not have side effects")
             assert(tableCatalog.loadTable(identifier).properties().get("Path") == "noop",
@@ -3148,7 +3166,7 @@ class DataSourceV2SQLSuiteV1Filter
       val properties = table.properties
       assert(properties.get(TableCatalog.PROP_PROVIDER) == "parquet")
       assert(properties.get(TableCatalog.PROP_COMMENT) == "This is a comment")
-      assert(properties.get(TableCatalog.PROP_LOCATION) == "file:///tmp")
+      assert(properties.get(TableCatalog.PROP_LOCATION) == "file:/tmp")
       assert(properties.containsKey(TableCatalog.PROP_OWNER))
       assert(properties.get(TableCatalog.PROP_EXTERNAL) == "true")
       assert(properties.get(s"${TableCatalog.OPTION_PREFIX}from") == "0")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
index fec33d811b461..adda9dcfffe46 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v2/ShowCreateTableSuite.scala
@@ -106,7 +106,7 @@ class ShowCreateTableSuite extends command.ShowCreateTableSuiteBase with Command
         "'via' = '2')",
         "PARTITIONED BY (a)",
         "COMMENT 'This is a comment'",
-        "LOCATION 'file:///tmp'",
+        "LOCATION 'file:/tmp'",
         "TBLPROPERTIES (",
         "'password' = '*********(redacted)',",
         "'prop1' = '1',",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
index c70675497064e..c6bf220e45d52 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
@@ -754,7 +754,7 @@ class CatalogSuite extends SharedSparkSession with AnalysisTest with BeforeAndAf
       assert(table.properties().get("comment").equals(description))
       assert(table.properties().get("path").equals(dir.getAbsolutePath))
       assert(table.properties().get("external").equals("true"))
-      assert(table.properties().get("location").equals("file://" + dir.getAbsolutePath))
+      assert(table.properties().get("location").equals("file:" + dir.getAbsolutePath))
     }
   }
 

From 3d9690103538f698aef41733b01fe9a0ce7acbbd Mon Sep 17 00:00:00 2001
From: Gabor Roczei <roczei@cloudera.com>
Date: Fri, 16 Aug 2024 10:10:11 +0800
Subject: [PATCH 814/986] [SPARK-45590][BUILD][3.5] Upgrade okio to 1.17.6 from
 1.15.0

Backport #47758 to 3.5

### What changes were proposed in this pull request?

This PR aims to upgrade `okio` from 1.15.0 to 1.17.6.

### Why are the changes needed?

Okio 1.15.0 is vulnerable due to CVE-2023-3635,  details: https://nvd.nist.gov/vuln/detail/CVE-2023-3635

Previous attempts to fix this security issue:

Update okio to version 1.17.6 #5587: https://github.com/fabric8io/kubernetes-client/pull/5587
Followup to Update okio to version 1.17.6 #5935: https://github.com/fabric8io/kubernetes-client/pull/5935

Unfortunately it is still using 1.15.0:

https://github.com/apache/spark/blob/v4.0.0-preview1/dev/deps/spark-deps-hadoop-3-hive-2.3#L227 https://github.com/apache/spark/blob/v3.5.2/dev/deps/spark-deps-hadoop-3-hive-2.3#L210

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47769 from roczei/roczei/SPARK-45590-branch-3.5.

Authored-by: Gabor Roczei <roczei@cloudera.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 2 +-
 pom.xml                               | 6 ++++++
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 0ea9d120f0808..a9d63c1ad0f99 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -207,7 +207,7 @@ netty-transport-native-unix-common/4.1.96.Final//netty-transport-native-unix-com
 netty-transport/4.1.96.Final//netty-transport-4.1.96.Final.jar
 objenesis/3.3//objenesis-3.3.jar
 okhttp/3.12.12//okhttp-3.12.12.jar
-okio/1.15.0//okio-1.15.0.jar
+okio/1.17.6//okio-1.17.6.jar
 opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
diff --git a/pom.xml b/pom.xml
index 61780803afb57..7bbdd0a998039 100644
--- a/pom.xml
+++ b/pom.xml
@@ -232,6 +232,7 @@
     <!-- org.fusesource.leveldbjni will be used except on arm64 platform. -->
     <leveldbjni.group>org.fusesource.leveldbjni</leveldbjni.group>
     <kubernetes-client.version>6.7.2</kubernetes-client.version>
+    <okio.version>1.17.6</okio.version>
 
     <test.java.home>${java.home}</test.java.home>
 
@@ -2821,6 +2822,11 @@
         <artifactId>arpack</artifactId>
         <version>${netlib.ludovic.dev.version}</version>
       </dependency>
+      <dependency>
+        <groupId>com.squareup.okio</groupId>
+        <artifactId>okio</artifactId>
+        <version>${okio.version}</version>
+      </dependency>
     </dependencies>
   </dependencyManagement>
 

From ac2219e69ce2768614c84a422e42fd2238acc889 Mon Sep 17 00:00:00 2001
From: sychen <sychen@ctrip.com>
Date: Fri, 16 Aug 2024 18:08:26 +0800
Subject: [PATCH 815/986] [SPARK-49039][UI] Reset checkbox when executor
 metrics are loaded in the Stages tab

### What changes were proposed in this pull request?
This PR aims to reset checkbox when executor metrics are loaded in the Stages tab.

### Why are the changes needed?
The variable `executorSummaryTableSelector` in the `reselectCheckboxesBasedOnTaskTableState` function may not be initialized, which results in inconsistent UI display.

Sometimes `allexecutors` api calls are slow, which causes `executorSummaryTableSelector` to be initialized lazily.
```js
$.getJSON(createRESTEndPointForExecutorsPage(appId),
```

<img width="800" alt="image" src="https://github.com/user-attachments/assets/780705ee-71b2-4063-bee9-cac3a3d35f27">

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
local test

<img width="1299" alt="image" src="https://github.com/user-attachments/assets/b3ee9cc3-088f-490f-a52b-259e8b07c016">

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47519 from cxzl25/SPARK-49039.

Authored-by: sychen <sychen@ctrip.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit e3a44307fe73c4bff253c734aafbbc019ed8448f)
Signed-off-by: Kent Yao <yao@apache.org>
---
 core/src/main/resources/org/apache/spark/ui/static/stagepage.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/core/src/main/resources/org/apache/spark/ui/static/stagepage.js b/core/src/main/resources/org/apache/spark/ui/static/stagepage.js
index 50bf959d3aa96..c7513c8268b26 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/stagepage.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/stagepage.js
@@ -650,6 +650,7 @@ $(document).ready(function () {
             }
             executorSummaryTableSelector.column(13).visible(dataToShow.showBytesSpilledData);
             executorSummaryTableSelector.column(14).visible(dataToShow.showBytesSpilledData);
+            reselectCheckboxesBasedOnTaskTableState();
           });
 
         // Prepare data for speculation metrics

From 3148cfa10bd781f258afc5dbfb7bdc8bfcec269c Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Fri, 16 Aug 2024 22:33:35 +0800
Subject: [PATCH 816/986] [SPARK-49211][SQL][3.5] V2 Catalog can also support
 built-in data sources

### What changes were proposed in this pull request?

V2 Catalog can also support built-in data sources.

### Why are the changes needed?

V2 catalog could still support spark built-in data sources if the V2 catalog returns v1 table and do not track partitions in catalog. This is because we do not need to require V2 catalog to implement every thing to support built-in data sources (as that is a big chunk of work).

### Does this PR introduce _any_ user-facing change?

No
### How was this patch tested?

UT
### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #47777 from amaliujia/branch-3.5.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/analysis/Analyzer.scala      |   9 +-
 .../sql/catalyst/catalog/SessionCatalog.scala |  21 ++--
 .../spark/sql/catalyst/identifiers.scala      |   4 +
 .../catalog/SessionCatalogSuite.scala         |  10 +-
 .../datasources/DataSourceStrategy.scala      |  19 ++--
 .../sql/StatisticsCollectionTestBase.scala    |   6 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 100 +++++++++++++++++-
 .../sql/execution/command/DDLSuite.scala      |   9 +-
 .../command/v1/TruncateTableSuite.scala       |   6 +-
 .../spark/sql/hive/HiveMetastoreCatalog.scala |  14 +--
 10 files changed, 164 insertions(+), 34 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index bd917fd73e20a..fd0a0715b6344 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -1246,7 +1246,14 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
         options: CaseInsensitiveStringMap,
         isStreaming: Boolean): Option[LogicalPlan] = {
       table.map {
-        case v1Table: V1Table if CatalogV2Util.isSessionCatalog(catalog) =>
+        // To utilize this code path to execute V1 commands, e.g. INSERT,
+        // either it must be session catalog, or tracksPartitionsInCatalog
+        // must be false so it does not require use catalog to manage partitions.
+        // Obviously we cannot execute V1Table by V1 code path if the table
+        // is not from session catalog and the table still requires its catalog
+        // to manage partitions.
+        case v1Table: V1Table if CatalogV2Util.isSessionCatalog(catalog)
+          || !v1Table.catalogTable.tracksPartitionsInCatalog =>
           if (isStreaming) {
             if (v1Table.v1Table.tableType == CatalogTableType.VIEW) {
               throw QueryCompilationErrors.permanentViewNotSupportedByStreamingReadingAPIError(
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
index cba928dfa924c..99074b859a7fa 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
@@ -40,6 +40,7 @@ import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project, Subque
 import org.apache.spark.sql.catalyst.trees.{CurrentOrigin, Origin}
 import org.apache.spark.sql.catalyst.util.{CharVarcharUtils, StringUtils}
 import org.apache.spark.sql.connector.catalog.CatalogManager
+import org.apache.spark.sql.connector.catalog.CatalogManager.SESSION_CATALOG_NAME
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.StaticSQLConf.GLOBAL_TEMP_DATABASE
@@ -193,7 +194,7 @@ class SessionCatalog(
     }
   }
 
-  private val tableRelationCache: Cache[QualifiedTableName, LogicalPlan] = {
+  private val tableRelationCache: Cache[FullQualifiedTableName, LogicalPlan] = {
     var builder = CacheBuilder.newBuilder()
       .maximumSize(cacheSize)
 
@@ -201,33 +202,34 @@ class SessionCatalog(
       builder = builder.expireAfterWrite(cacheTTL, TimeUnit.SECONDS)
     }
 
-    builder.build[QualifiedTableName, LogicalPlan]()
+    builder.build[FullQualifiedTableName, LogicalPlan]()
   }
 
   /** This method provides a way to get a cached plan. */
-  def getCachedPlan(t: QualifiedTableName, c: Callable[LogicalPlan]): LogicalPlan = {
+  def getCachedPlan(t: FullQualifiedTableName, c: Callable[LogicalPlan]): LogicalPlan = {
     tableRelationCache.get(t, c)
   }
 
   /** This method provides a way to get a cached plan if the key exists. */
-  def getCachedTable(key: QualifiedTableName): LogicalPlan = {
+  def getCachedTable(key: FullQualifiedTableName): LogicalPlan = {
     tableRelationCache.getIfPresent(key)
   }
 
   /** This method provides a way to cache a plan. */
-  def cacheTable(t: QualifiedTableName, l: LogicalPlan): Unit = {
+  def cacheTable(t: FullQualifiedTableName, l: LogicalPlan): Unit = {
     tableRelationCache.put(t, l)
   }
 
   /** This method provides a way to invalidate a cached plan. */
-  def invalidateCachedTable(key: QualifiedTableName): Unit = {
+  def invalidateCachedTable(key: FullQualifiedTableName): Unit = {
     tableRelationCache.invalidate(key)
   }
 
   /** This method discards any cached table relation plans for the given table identifier. */
   def invalidateCachedTable(name: TableIdentifier): Unit = {
     val qualified = qualifyIdentifier(name)
-    invalidateCachedTable(QualifiedTableName(qualified.database.get, qualified.table))
+    invalidateCachedTable(FullQualifiedTableName(
+      qualified.catalog.get, qualified.database.get, qualified.table))
   }
 
   /** This method provides a way to invalidate all the cached plans. */
@@ -295,7 +297,7 @@ class SessionCatalog(
     }
     if (cascade && databaseExists(dbName)) {
       listTables(dbName).foreach { t =>
-        invalidateCachedTable(QualifiedTableName(dbName, t.table))
+        invalidateCachedTable(FullQualifiedTableName(SESSION_CATALOG_NAME, dbName, t.table))
       }
     }
     externalCatalog.dropDatabase(dbName, ignoreIfNotExists, cascade)
@@ -1130,7 +1132,8 @@ class SessionCatalog(
   def refreshTable(name: TableIdentifier): Unit = synchronized {
     getLocalOrGlobalTempView(name).map(_.refresh).getOrElse {
       val qualifiedIdent = qualifyIdentifier(name)
-      val qualifiedTableName = QualifiedTableName(qualifiedIdent.database.get, qualifiedIdent.table)
+      val qualifiedTableName = FullQualifiedTableName(
+        qualifiedIdent.catalog.get, qualifiedIdent.database.get, qualifiedIdent.table)
       tableRelationCache.invalidate(qualifiedTableName)
     }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
index 2f818fecad93a..cc881539002b6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
@@ -111,6 +111,10 @@ case class QualifiedTableName(database: String, name: String) {
   override def toString: String = s"$database.$name"
 }
 
+case class FullQualifiedTableName(catalog: String, database: String, name: String) {
+  override def toString: String = s"$catalog.$database.$name"
+}
+
 object TableIdentifier {
   def apply(tableName: String): TableIdentifier = new TableIdentifier(tableName)
   def apply(table: String, database: Option[String]): TableIdentifier =
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
index b668386bc472d..447a85fe4a41e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
@@ -22,7 +22,7 @@ import scala.concurrent.duration._
 import org.scalatest.concurrent.Eventually
 
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.{AliasIdentifier, FunctionIdentifier, QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{AliasIdentifier, FullQualifiedTableName, FunctionIdentifier, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
@@ -1880,7 +1880,8 @@ abstract class SessionCatalogSuite extends AnalysisTest with Eventually {
     conf.setConf(StaticSQLConf.METADATA_CACHE_TTL_SECONDS, 1L)
 
     withConfAndEmptyCatalog(conf) { catalog =>
-      val table = QualifiedTableName(catalog.getCurrentDatabase, "test")
+      val table = FullQualifiedTableName(
+        CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "test")
 
       // First, make sure the test table is not cached.
       assert(catalog.getCachedTable(table) === null)
@@ -1899,13 +1900,14 @@ abstract class SessionCatalogSuite extends AnalysisTest with Eventually {
   test("SPARK-34197: refreshTable should not invalidate the relation cache for temporary views") {
     withBasicCatalog { catalog =>
       createTempView(catalog, "tbl1", Range(1, 10, 1, 10), false)
-      val qualifiedName1 = QualifiedTableName("default", "tbl1")
+      val qualifiedName1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "tbl1")
       catalog.cacheTable(qualifiedName1, Range(1, 10, 1, 10))
       catalog.refreshTable(TableIdentifier("tbl1"))
       assert(catalog.getCachedTable(qualifiedName1) != null)
 
       createGlobalTempView(catalog, "tbl2", Range(2, 10, 1, 10), false)
-      val qualifiedName2 = QualifiedTableName(catalog.globalTempViewManager.database, "tbl2")
+      val qualifiedName2 =
+        FullQualifiedTableName(SESSION_CATALOG_NAME, catalog.globalTempViewManager.database, "tbl2")
       catalog.cacheTable(qualifiedName2, Range(2, 10, 1, 10))
       catalog.refreshTable(TableIdentifier("tbl2", Some(catalog.globalTempViewManager.database)))
       assert(catalog.getCachedTable(qualifiedName2) != null)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 94c2d2ffaca59..548a5734da06c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -27,28 +27,27 @@ import org.apache.hadoop.fs.Path
 import org.apache.spark.internal.Logging
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow, QualifiedTableName, SQLConfHelper}
+import org.apache.spark.sql.catalyst.{expressions, CatalystTypeConverters, FullQualifiedTableName, InternalRow, SQLConfHelper}
 import org.apache.spark.sql.catalyst.CatalystTypeConverters.convertToScala
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
-import org.apache.spark.sql.catalyst.expressions
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
 import org.apache.spark.sql.catalyst.planning.PhysicalOperation
-import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoDir, InsertIntoStatement, LogicalPlan, Project}
+import org.apache.spark.sql.catalyst.plans.logical.{AppendData, InsertIntoDir, InsertIntoStatement, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{GeneratedColumn, ResolveDefaultColumns, V2ExpressionBuilder}
-import org.apache.spark.sql.connector.catalog.SupportsRead
+import org.apache.spark.sql.connector.catalog.{SupportsRead, V1Table}
 import org.apache.spark.sql.connector.catalog.TableCapability._
 import org.apache.spark.sql.connector.expressions.{Expression => V2Expression, NullOrdering, SortDirection, SortOrder => V2SortOrder, SortValue}
 import org.apache.spark.sql.connector.expressions.aggregate.{AggregateFunc, Aggregation}
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.{RowDataSourceScanExec, SparkPlan}
 import org.apache.spark.sql.execution.command._
-import org.apache.spark.sql.execution.datasources.v2.PushedDownOperators
+import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2Relation, PushedDownOperators}
 import org.apache.spark.sql.execution.streaming.StreamingRelation
 import org.apache.spark.sql.sources._
 import org.apache.spark.sql.types._
@@ -242,7 +241,8 @@ object DataSourceAnalysis extends Rule[LogicalPlan] {
 class FindDataSourceTable(sparkSession: SparkSession) extends Rule[LogicalPlan] {
   private def readDataSourceTable(
       table: CatalogTable, extraOptions: CaseInsensitiveStringMap): LogicalPlan = {
-    val qualifiedTableName = QualifiedTableName(table.database, table.identifier.table)
+    val qualifiedTableName =
+      FullQualifiedTableName(table.identifier.catalog.get, table.database, table.identifier.table)
     val catalog = sparkSession.sessionState.catalog
     val dsOptions = DataSourceUtils.generateDatasourceOptions(extraOptions, table)
     catalog.getCachedPlan(qualifiedTableName, () => {
@@ -284,6 +284,13 @@ class FindDataSourceTable(sparkSession: SparkSession) extends Rule[LogicalPlan]
         _, _, _, _, _, _) =>
       i.copy(table = DDLUtils.readHiveTable(tableMeta))
 
+    case append @ AppendData(
+        DataSourceV2Relation(
+          V1Table(table: CatalogTable), _, _, _, _), _, _, _, _, _) if !append.isByName =>
+      InsertIntoStatement(UnresolvedCatalogRelation(table),
+        table.partitionColumnNames.map(name => name -> None).toMap,
+        Seq.empty, append.query, false, append.isByName)
+
     case UnresolvedCatalogRelation(tableMeta, options, false)
         if DDLUtils.isDatasourceTable(tableMeta) =>
       readDataSourceTable(tableMeta, options)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
index 04e47ac4a1132..2e237a9b9ea11 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
@@ -25,13 +25,14 @@ import java.time.LocalDateTime
 import scala.collection.mutable
 import scala.util.Random
 
-import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.catalog.{CatalogColumnStat, CatalogStatistics, CatalogTable, HiveTableRelation}
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions.AttributeMap
 import org.apache.spark.sql.catalyst.plans.logical.{ColumnStat, Histogram, HistogramBin, HistogramSerializer, LogicalPlan, Statistics}
 import org.apache.spark.sql.catalyst.util.DateTimeTestUtils._
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
+import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.execution.datasources.LogicalRelation
 import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
 import org.apache.spark.sql.test.SQLTestUtils
@@ -269,7 +270,8 @@ abstract class StatisticsCollectionTestBase extends QueryTest with SQLTestUtils
 
   def getTableFromCatalogCache(tableName: String): LogicalPlan = {
     val catalog = spark.sessionState.catalog
-    val qualifiedTableName = QualifiedTableName(catalog.getCurrentDatabase, tableName)
+    val qualifiedTableName = FullQualifiedTableName(
+      CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, tableName)
     catalog.getCachedTable(qualifiedTableName)
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 0638b50cfb9d3..4c6ae425291d0 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -27,8 +27,9 @@ import scala.concurrent.duration.MICROSECONDS
 
 import org.apache.spark.{SparkException, SparkUnsupportedOperationException}
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.{FullQualifiedTableName, InternalRow, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.{CannotReplaceMissingTableException, NoSuchDatabaseException, NoSuchNamespaceException, TableAlreadyExistsException}
+import org.apache.spark.sql.catalyst.catalog.{CatalogStorageFormat, CatalogTable, CatalogTableType, CatalogUtils}
 import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.catalyst.plans.logical.ColumnStat
 import org.apache.spark.sql.catalyst.statsEstimation.StatsEstimationTestBase
@@ -41,6 +42,7 @@ import org.apache.spark.sql.errors.QueryErrorsBase
 import org.apache.spark.sql.execution.FilterExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.columnar.InMemoryRelation
+import org.apache.spark.sql.execution.datasources.{HadoopFsRelation, LogicalRelation}
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
 import org.apache.spark.sql.execution.streaming.MemoryStream
 import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
@@ -3377,6 +3379,69 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-49211: V2 Catalog can support built-in data sources") {
+    def checkParquet(tableName: String, path: String): Unit = {
+      withTable(tableName) {
+        sql("CREATE TABLE " + tableName +
+          " (name STRING) USING PARQUET LOCATION '" + path + "'")
+        sql("INSERT INTO " + tableName + " VALUES('Bob')")
+        val df = sql("SELECT * FROM " + tableName)
+        assert(df.queryExecution.analyzed.exists {
+          case LogicalRelation(_: HadoopFsRelation, _, _, _) => true
+          case _ => false
+        })
+        checkAnswer(df, Row("Bob"))
+      }
+    }
+
+    // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
+    // configure a new implementation.
+    val table1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
+    spark.sessionState.catalogManager.reset()
+    withSQLConf(
+      V2_SESSION_CATALOG_IMPLEMENTATION.key ->
+        classOf[V2CatalogSupportBuiltinDataSource].getName) {
+      withTempPath { path =>
+        checkParquet(table1.toString, path.getAbsolutePath)
+      }
+    }
+    val table2 = FullQualifiedTableName("testcat3", "default", "t")
+    withSQLConf(
+      "spark.sql.catalog.testcat3" -> classOf[V2CatalogSupportBuiltinDataSource].getName) {
+      withTempPath { path =>
+        checkParquet(table2.toString, path.getAbsolutePath)
+      }
+    }
+  }
+
+  test("SPARK-49211: V2 Catalog support CTAS") {
+    def checkCTAS(tableName: String, path: String): Unit = {
+      sql("CREATE TABLE " + tableName + " USING PARQUET LOCATION '" + path +
+        "' AS SELECT 1, 2, 3")
+      checkAnswer(sql("SELECT * FROM " + tableName), Row(1, 2, 3))
+    }
+
+    // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
+    // configure a new implementation.
+    spark.sessionState.catalogManager.reset()
+    val table1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
+    withSQLConf(
+      V2_SESSION_CATALOG_IMPLEMENTATION.key ->
+        classOf[V2CatalogSupportBuiltinDataSource].getName) {
+      withTempPath { path =>
+        checkCTAS(table1.toString, path.getAbsolutePath)
+      }
+    }
+
+    val table2 = FullQualifiedTableName("testcat3", "default", "t")
+    withSQLConf(
+      "spark.sql.catalog.testcat3" -> classOf[V2CatalogSupportBuiltinDataSource].getName) {
+      withTempPath { path =>
+        checkCTAS(table2.toString, path.getAbsolutePath)
+      }
+    }
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,
@@ -3419,3 +3484,36 @@ class SimpleDelegatingCatalog extends DelegatingCatalogExtension {
     super.createTable(ident, columns, partitions, newProps)
   }
 }
+
+
+class V2CatalogSupportBuiltinDataSource extends InMemoryCatalog {
+  override def createTable(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: jutil.Map[String, String]): Table = {
+    super.createTable(ident, columns, partitions, properties)
+    loadTable(ident)
+  }
+
+  override def loadTable(ident: Identifier): Table = {
+    val superTable = super.loadTable(ident)
+    val tableIdent = {
+      TableIdentifier(ident.name(), Some(ident.namespace().head), Some(name))
+    }
+    val uri = CatalogUtils.stringToURI(superTable.properties().get(TableCatalog.PROP_LOCATION))
+    val sparkTable = CatalogTable(
+      tableIdent,
+      tableType = CatalogTableType.EXTERNAL,
+      storage = CatalogStorageFormat.empty.copy(
+        locationUri = Some(uri),
+        properties = superTable.properties().asScala.toMap
+      ),
+      schema = superTable.schema(),
+      provider = Some(superTable.properties().get(TableCatalog.PROP_PROVIDER)),
+      tracksPartitionsInCatalog = false
+    )
+    V1Table(sparkTable)
+  }
+}
+
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
index 1e63350fdb439..0466781c119aa 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
@@ -27,11 +27,12 @@ import org.apache.hadoop.fs.permission.{AclEntry, AclStatus}
 import org.apache.spark.{SparkClassNotFoundException, SparkException, SparkFiles, SparkRuntimeException}
 import org.apache.spark.internal.config
 import org.apache.spark.sql.{AnalysisException, QueryTest, Row, SaveMode}
-import org.apache.spark.sql.catalyst.{FunctionIdentifier, QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{FullQualifiedTableName, FunctionIdentifier, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.TempTableAlreadyExistsException
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.parser.ParseException
+import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.connector.catalog.CatalogManager.SESSION_CATALOG_NAME
 import org.apache.spark.sql.connector.catalog.SupportsNamespaces.PROP_OWNER
 import org.apache.spark.sql.internal.SQLConf
@@ -219,7 +220,8 @@ class InMemoryCatalogedDDLSuite extends DDLSuite with SharedSparkSession {
   test("SPARK-25403 refresh the table after inserting data") {
     withTable("t") {
       val catalog = spark.sessionState.catalog
-      val table = QualifiedTableName(catalog.getCurrentDatabase, "t")
+      val table = FullQualifiedTableName(
+        CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "t")
       sql("CREATE TABLE t (a INT) USING parquet")
       sql("INSERT INTO TABLE t VALUES (1)")
       assert(catalog.getCachedTable(table) === null, "Table relation should be invalidated.")
@@ -232,7 +234,8 @@ class InMemoryCatalogedDDLSuite extends DDLSuite with SharedSparkSession {
     withTable("t") {
       withTempDir { dir =>
         val catalog = spark.sessionState.catalog
-        val table = QualifiedTableName(catalog.getCurrentDatabase, "t")
+        val table = FullQualifiedTableName(
+          CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "t")
         val p1 = s"${dir.getCanonicalPath}/p1"
         val p2 = s"${dir.getCanonicalPath}/p2"
         sql(s"CREATE TABLE t (a INT) USING parquet LOCATION '$p1'")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
index cd0a057284705..5810a35ddcf8b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
@@ -23,7 +23,8 @@ import org.apache.hadoop.fs.Path
 import org.apache.hadoop.fs.permission.{AclEntry, AclEntryScope, AclEntryType, FsAction, FsPermission}
 
 import org.apache.spark.sql.{AnalysisException, Row}
-import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.execution.command
 import org.apache.spark.sql.execution.command.FakeLocalFsFileSystem
 import org.apache.spark.sql.internal.SQLConf
@@ -146,7 +147,8 @@ trait TruncateTableSuiteBase extends command.TruncateTableSuiteBase {
           spark.table(t)
 
           val catalog = spark.sessionState.catalog
-          val qualifiedTableName = QualifiedTableName("ns", "tbl")
+          val qualifiedTableName =
+            FullQualifiedTableName(CatalogManager.SESSION_CATALOG_NAME, "ns", "tbl")
           val cachedPlan = catalog.getCachedTable(qualifiedTableName)
           assert(cachedPlan.stats.sizeInBytes == 0)
         }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
index dbfb4d65bd144..00536135a1b1b 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
@@ -27,10 +27,11 @@ import org.apache.hadoop.fs.Path
 import org.apache.spark.SparkException
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{AnalysisException, SparkSession}
-import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
+import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.execution.datasources._
 import org.apache.spark.sql.execution.datasources.parquet.{ParquetFileFormat, ParquetOptions}
 import org.apache.spark.sql.internal.SQLConf
@@ -54,7 +55,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
   private val tableCreationLocks = Striped.lazyWeakLock(100)
 
   /** Acquires a lock on the table cache for the duration of `f`. */
-  private def withTableCreationLock[A](tableName: QualifiedTableName, f: => A): A = {
+  private def withTableCreationLock[A](tableName: FullQualifiedTableName, f: => A): A = {
     val lock = tableCreationLocks.get(tableName)
     lock.lock()
     try f finally {
@@ -64,8 +65,9 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
 
   // For testing only
   private[hive] def getCachedDataSourceTable(table: TableIdentifier): LogicalPlan = {
-    val key = QualifiedTableName(
+    val key = FullQualifiedTableName(
       // scalastyle:off caselocale
+      table.catalog.getOrElse(CatalogManager.SESSION_CATALOG_NAME).toLowerCase,
       table.database.getOrElse(sessionState.catalog.getCurrentDatabase).toLowerCase,
       table.table.toLowerCase)
       // scalastyle:on caselocale
@@ -73,7 +75,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
   }
 
   private def getCached(
-      tableIdentifier: QualifiedTableName,
+      tableIdentifier: FullQualifiedTableName,
       pathsInMetastore: Seq[Path],
       schemaInMetastore: StructType,
       expectedFileFormat: Class[_ <: FileFormat],
@@ -191,8 +193,8 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
       fileType: String,
       isWrite: Boolean): LogicalRelation = {
     val metastoreSchema = relation.tableMeta.schema
-    val tableIdentifier =
-      QualifiedTableName(relation.tableMeta.database, relation.tableMeta.identifier.table)
+    val tableIdentifier = FullQualifiedTableName(relation.tableMeta.identifier.catalog.get,
+      relation.tableMeta.database, relation.tableMeta.identifier.table)
 
     val lazyPruningEnabled = sparkSession.sqlContext.conf.manageFilesourcePartitions
     val tablePath = new Path(relation.tableMeta.location)

From c06906d0efe59605767226677f2a58c8bd3fa4fb Mon Sep 17 00:00:00 2001
From: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Date: Tue, 20 Aug 2024 11:53:39 +0200
Subject: [PATCH 817/986] [SPARK-49017][SQL][3.5] Insert statement fails when
 multiple parameters are being used

### What changes were proposed in this pull request?
Fix for multiple parameters support.

This PR is a backport of https://github.com/apache/spark/pull/47501.

### Why are the changes needed?
The use of multiple parameters with identifiers were broken

### Does this PR introduce _any_ user-facing change?
Yes, look at tests.

### How was this patch tested?
New tests added to ParametersSuite.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47814 from mihailom-db/fixParametersBackport.

Authored-by: Mihailo Milosevic <mihailo.milosevic@databricks.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../analysis/ResolveIdentifierClause.scala    |  4 +-
 .../sql/catalyst/analysis/unresolved.scala    | 14 ++++-
 .../sql/catalyst/parser/AstBuilder.scala      | 37 ++++++++----
 .../sql/catalyst/analysis/AnalysisSuite.scala |  4 +-
 .../spark/sql/execution/SparkSqlParser.scala  |  4 +-
 .../apache/spark/sql/ParametersSuite.scala    | 57 +++++++++++++++++++
 6 files changed, 101 insertions(+), 19 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
index 422bad3d89e24..9031b33a84a08 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveIdentifierClause.scala
@@ -36,8 +36,8 @@ class ResolveIdentifierClause(earlyBatches: Seq[RuleExecutor[LogicalPlan]#Batch]
 
   override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUpWithPruning(
     _.containsAnyPattern(UNRESOLVED_IDENTIFIER)) {
-    case p: PlanWithUnresolvedIdentifier if p.identifierExpr.resolved =>
-      executor.execute(p.planBuilder.apply(evalIdentifierExpr(p.identifierExpr)))
+    case p: PlanWithUnresolvedIdentifier if p.identifierExpr.resolved && p.childrenResolved =>
+      executor.execute(p.planBuilder.apply(evalIdentifierExpr(p.identifierExpr), p.children))
     case other =>
       other.transformExpressionsWithPruning(_.containsAnyPattern(UNRESOLVED_IDENTIFIER)) {
         case e: ExpressionWithUnresolvedIdentifier if e.identifierExpr.resolved =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
index 07ad5e57306a5..a03c3e317c104 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
@@ -55,9 +55,19 @@ trait UnresolvedUnaryNode extends UnaryNode with UnresolvedNode
  */
 case class PlanWithUnresolvedIdentifier(
     identifierExpr: Expression,
-    planBuilder: Seq[String] => LogicalPlan)
-  extends UnresolvedLeafNode {
+    children: Seq[LogicalPlan],
+    planBuilder: (Seq[String], Seq[LogicalPlan]) => LogicalPlan)
+  extends UnresolvedNode {
+
+  def this(identifierExpr: Expression, planBuilder: Seq[String] => LogicalPlan) = {
+    this(identifierExpr, Nil, (ident, _) => planBuilder(ident))
+  }
+
   final override val nodePatterns: Seq[TreePattern] = Seq(UNRESOLVED_IDENTIFIER)
+
+  override protected def withNewChildrenInternal(
+      newChildren: IndexedSeq[LogicalPlan]): LogicalPlan =
+    copy(identifierExpr, newChildren, planBuilder)
 }
 
 /**
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index f38d41af445ea..f28a6de9fc2c1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -66,12 +66,25 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       builder: Seq[String] => LogicalPlan): LogicalPlan = {
     val exprCtx = ctx.expression
     if (exprCtx != null) {
-      PlanWithUnresolvedIdentifier(withOrigin(exprCtx) { expression(exprCtx) }, builder)
+      PlanWithUnresolvedIdentifier(withOrigin(exprCtx) { expression(exprCtx) }, Nil,
+        (ident, _) => builder(ident))
     } else {
       builder.apply(visitMultipartIdentifier(ctx.multipartIdentifier))
     }
   }
 
+  protected def withIdentClause(
+      ctx: IdentifierReferenceContext,
+      otherPlans: Seq[LogicalPlan],
+      builder: (Seq[String], Seq[LogicalPlan]) => LogicalPlan): LogicalPlan = {
+    val exprCtx = ctx.expression
+    if (exprCtx != null) {
+      PlanWithUnresolvedIdentifier(withOrigin(exprCtx) { expression(exprCtx) }, otherPlans, builder)
+    } else {
+      builder.apply(visitMultipartIdentifier(ctx.multipartIdentifier), otherPlans)
+    }
+  }
+
   protected def withIdentClause(
       ctx: IdentifierReferenceContext,
       builder: Seq[String] => Expression): Expression = {
@@ -85,12 +98,13 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
 
   protected def withFuncIdentClause(
       ctx: FunctionNameContext,
-      builder: Seq[String] => LogicalPlan): LogicalPlan = {
+      otherPlans: Seq[LogicalPlan],
+      builder: (Seq[String], Seq[LogicalPlan]) => LogicalPlan): LogicalPlan = {
     val exprCtx = ctx.expression
     if (exprCtx != null) {
-      PlanWithUnresolvedIdentifier(withOrigin(exprCtx) { expression(exprCtx) }, builder)
+      PlanWithUnresolvedIdentifier(withOrigin(exprCtx) { expression(exprCtx) }, otherPlans, builder)
     } else {
-      builder.apply(getFunctionMultiparts(ctx))
+      builder.apply(getFunctionMultiparts(ctx), otherPlans)
     }
   }
 
@@ -320,12 +334,12 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       case table: InsertIntoTableContext =>
         val (relationCtx, cols, partition, ifPartitionNotExists, byName)
         = visitInsertIntoTable(table)
-        withIdentClause(relationCtx, ident => {
+        withIdentClause(relationCtx, Seq(query), (ident, otherPlans) => {
           InsertIntoStatement(
             createUnresolvedRelation(relationCtx, ident),
             partition,
             cols,
-            query,
+            otherPlans.head,
             overwrite = false,
             ifPartitionNotExists,
             byName)
@@ -333,21 +347,21 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       case table: InsertOverwriteTableContext =>
         val (relationCtx, cols, partition, ifPartitionNotExists, byName)
         = visitInsertOverwriteTable(table)
-        withIdentClause(relationCtx, ident => {
+        withIdentClause(relationCtx, Seq(query), (ident, otherPlans) => {
           InsertIntoStatement(
             createUnresolvedRelation(relationCtx, ident),
             partition,
             cols,
-            query,
+            otherPlans.head,
             overwrite = true,
             ifPartitionNotExists,
             byName)
         })
       case ctx: InsertIntoReplaceWhereContext =>
-        withIdentClause(ctx.identifierReference, ident => {
+        withIdentClause(ctx.identifierReference, Seq(query), (ident, otherPlans) => {
           OverwriteByExpression.byPosition(
             createUnresolvedRelation(ctx.identifierReference, ident),
-            query,
+            otherPlans.head,
             expression(ctx.whereClause().booleanExpression()))
         })
       case dir: InsertOverwriteDirContext =>
@@ -1598,7 +1612,8 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
 
     withFuncIdentClause(
       func.functionName,
-      ident => {
+      Nil,
+      (ident, _) => {
         if (ident.length > 1) {
           throw QueryParsingErrors.invalidTableValuedFunctionNameError(ident, ctx)
         }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index 1ed83bf14be7d..e54b95f91af60 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1662,9 +1662,9 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       checkAnalysis(testRelation.select(ident2), testRelation.select($"a").analyze)
     }
     withClue("IDENTIFIER as table") {
-      val ident = PlanWithUnresolvedIdentifier(name, _ => testRelation)
+      val ident = new PlanWithUnresolvedIdentifier(name, _ => testRelation)
       checkAnalysis(ident.select($"a"), testRelation.select($"a").analyze)
-      val ident2 = PlanWithUnresolvedIdentifier(replaceable, _ => testRelation)
+      val ident2 = new PlanWithUnresolvedIdentifier(replaceable, _ => testRelation)
       checkAnalysis(ident2.select($"a"), testRelation.select($"a").analyze)
     }
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
index dfe3c67e18b1f..492d95cf3c482 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
@@ -545,7 +545,7 @@ class SparkSqlAstBuilder extends AstBuilder {
         throw QueryParsingErrors.defineTempViewWithIfNotExistsError(ctx)
       }
 
-      withIdentClause(ctx.identifierReference(), ident => {
+      withIdentClause(ctx.identifierReference(), Seq(qPlan), (ident, otherPlans) => {
         val tableIdentifier = ident.asTableIdentifier
         if (tableIdentifier.database.isDefined) {
           // Temporary view names should NOT contain database prefix like "database.table"
@@ -559,7 +559,7 @@ class SparkSqlAstBuilder extends AstBuilder {
           visitCommentSpecList(ctx.commentSpec()),
           properties,
           Option(source(ctx.query)),
-          qPlan,
+          otherPlans.head,
           ctx.EXISTS != null,
           ctx.REPLACE != null,
           viewType = viewType)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
index a72c9a600adea..773b7041dee5e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala
@@ -502,4 +502,61 @@ class ParametersSuite extends QueryTest with SharedSparkSession {
         start = 24,
         stop = 36))
   }
+
+  test("SPARK-49017: bind named parameters with IDENTIFIER clause") {
+    withTable("testtab") {
+      // Create table
+      spark.sql("create table testtab (id int, name string) using parquet")
+
+      // Insert into table using single param
+      spark.sql("insert into identifier(:tab) values(1, 'test1')", Map("tab" -> "testtab"))
+
+      // Select from table using param
+      checkAnswer(spark.sql("select * from identifier(:tab)", Map("tab" -> "testtab")),
+        Seq(Row(1, "test1")))
+
+      // Insert into table using multiple params
+      spark.sql("insert into identifier(:tab) values(2, :name)",
+        Map("tab" -> "testtab", "name" -> "test2"))
+
+      // Select from table using param
+      checkAnswer(sql("select * from testtab"), Seq(Row(1, "test1"), Row(2, "test2")))
+
+      // Insert into table using multiple params and idents
+      sql("insert into testtab values(2, 'test3')")
+
+      // Select from table using param
+      checkAnswer(spark.sql("select identifier(:col) from identifier(:tab) where :name == name",
+        Map("tab" -> "testtab", "name" -> "test2", "col" -> "id")), Seq(Row(2)))
+    }
+  }
+
+  test("SPARK-49017: bind positional parameters with IDENTIFIER clause") {
+    withTable("testtab") {
+      // Create table
+      spark.sql("create table testtab (id int, name string) using parquet")
+
+      // Insert into table using single param
+      spark.sql("insert into identifier(?) values(1, 'test1')",
+        Array("testtab"))
+
+      // Select from table using param
+      checkAnswer(spark.sql("select * from identifier(?)", Array("testtab")),
+        Seq(Row(1, "test1")))
+
+      // Insert into table using multiple params
+      spark.sql("insert into identifier(?) values(2, ?)",
+        Array("testtab", "test2"))
+
+      // Select from table using param
+      checkAnswer(sql("select * from testtab"), Seq(Row(1, "test1"), Row(2, "test2")))
+
+      // Insert into table using multiple params and idents
+      sql("insert into testtab values(2, 'test3')")
+
+      // Select from table using param
+      checkAnswer(spark.sql("select identifier(?) from identifier(?) where ? == name",
+        Array("id", "testtab", "test2")), Seq(Row(2)))
+    }
+  }
 }

From 027a14b3cc058effab7f5a9f7e9d633e8179c5bb Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Wed, 21 Aug 2024 10:53:31 +0800
Subject: [PATCH 818/986] [SPARK-49246][SQL] TableCatalog#loadTable should
 indicate if it's for writing

For custom catalogs that have access control, read and write permissions can be different. However, currently Spark always call `TableCatalog#loadTable` to look up the table, no matter it's for read or write.

This PR adds a variant of `loadTable`: `loadTableForWrite`, in `TableCatalog`. All the write commands will call this new method to look up tables instead. This new method has a default implementation that just calls `loadTable`, so there is no breaking change.

allow more fine-grained access control for custom catalogs.

No

new tests

no

Closes #47772 from cloud-fan/write.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit b6164e6ed7174201057cf8f9ad59f59d6f60f089)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/connector/catalog/TableCatalog.java   | 20 ++++
 .../catalog/TableWritePrivilege.java          | 40 ++++++++
 .../sql/catalyst/analysis/Analyzer.scala      |  8 +-
 .../sql/catalyst/analysis/unresolved.scala    | 27 ++++++
 .../sql/catalyst/parser/AstBuilder.scala      | 57 +++++++-----
 .../catalyst/plans/logical/v2Commands.scala   | 15 +++
 .../sql/connector/catalog/CatalogV2Util.scala | 17 +++-
 .../sql/catalyst/parser/DDLParserSuite.scala  | 29 ++++--
 .../sql/catalyst/parser/PlanParserSuite.scala | 93 ++++++++++---------
 .../apache/spark/sql/DataFrameWriter.scala    | 18 +++-
 .../apache/spark/sql/DataFrameWriterV2.scala  | 11 ++-
 .../analysis/ResolveSessionCatalog.scala      |  4 +-
 .../analyzer-results/explain-aqe.sql.out      |  2 +-
 .../analyzer-results/explain.sql.out          |  2 +-
 .../sql-tests/results/explain-aqe.sql.out     |  2 +-
 .../sql-tests/results/explain.sql.out         |  2 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 83 +++++++++++++++++
 .../command/AlignAssignmentsSuiteBase.scala   |  4 +-
 .../command/PlanResolutionSuite.scala         |  6 +-
 19 files changed, 344 insertions(+), 96 deletions(-)
 create mode 100644 sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableWritePrivilege.java

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
index b990f59bfd90e..387477d0f1911 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
@@ -110,6 +110,26 @@ public interface TableCatalog extends CatalogPlugin {
    */
   Table loadTable(Identifier ident) throws NoSuchTableException;
 
+  /**
+   * Load table metadata by {@link Identifier identifier} from the catalog. Spark will write data
+   * into this table later.
+   * <p>
+   * If the catalog supports views and contains a view for the identifier and not a table, this
+   * must throw {@link NoSuchTableException}.
+   *
+   * @param ident a table identifier
+   * @param writePrivileges
+   * @return the table's metadata
+   * @throws NoSuchTableException If the table doesn't exist or is a view
+   *
+   * @since 3.5.3
+   */
+  default Table loadTable(
+      Identifier ident,
+      Set<TableWritePrivilege> writePrivileges) throws NoSuchTableException {
+    return loadTable(ident);
+  }
+
   /**
    * Load table metadata of a specific version by {@link Identifier identifier} from the catalog.
    * <p>
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableWritePrivilege.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableWritePrivilege.java
new file mode 100644
index 0000000000000..ca2d4ba9e7b4e
--- /dev/null
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableWritePrivilege.java
@@ -0,0 +1,40 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.connector.catalog;
+
+/**
+ * The table write privileges that will be provided when loading a table.
+ *
+ * @since 3.5.3
+ */
+public enum TableWritePrivilege {
+  /**
+   * The privilege for adding rows to the table.
+   */
+  INSERT,
+
+  /**
+   * The privilege for changing existing rows in th table.
+   */
+  UPDATE,
+
+  /**
+   * The privilege for deleting rows from the table.
+   */
+  DELETE
+}
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index fd0a0715b6344..463bd3c3a8a27 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -1309,8 +1309,12 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
                 cachedConnectRelation
               }.getOrElse(cachedRelation)
             }.orElse {
-              val table = CatalogV2Util.loadTable(catalog, ident, timeTravelSpec)
-              val loaded = createRelation(catalog, ident, table, u.options, u.isStreaming)
+              val writePrivilegesString =
+                Option(u.options.get(UnresolvedRelation.REQUIRED_WRITE_PRIVILEGES))
+              val table = CatalogV2Util.loadTable(
+                catalog, ident, timeTravelSpec, writePrivilegesString)
+              val loaded = createRelation(
+                catalog, ident, table, u.clearWritePrivileges.options, u.isStreaming)
               loaded.foreach(AnalysisContext.get.relationCache.update(key, _))
               u.getTagValue(LogicalPlan.PLAN_ID_TAG).map { planId =>
                 loaded.map { loadedRelation =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
index a03c3e317c104..81d92acc6e84a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.catalyst.plans.logical.{LeafNode, LogicalPlan, Unary
 import org.apache.spark.sql.catalyst.trees.TreePattern._
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLId
+import org.apache.spark.sql.connector.catalog.TableWritePrivilege
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.types.{DataType, Metadata, StructType}
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
@@ -106,10 +107,36 @@ case class UnresolvedRelation(
 
   override def name: String = tableName
 
+  def requireWritePrivileges(privileges: Seq[TableWritePrivilege]): UnresolvedRelation = {
+    if (privileges.nonEmpty) {
+      val newOptions = new java.util.HashMap[String, String]
+      newOptions.putAll(options)
+      newOptions.put(UnresolvedRelation.REQUIRED_WRITE_PRIVILEGES, privileges.mkString(","))
+      copy(options = new CaseInsensitiveStringMap(newOptions))
+    } else {
+      this
+    }
+  }
+
+  def clearWritePrivileges: UnresolvedRelation = {
+    if (options.containsKey(UnresolvedRelation.REQUIRED_WRITE_PRIVILEGES)) {
+      val newOptions = new java.util.HashMap[String, String]
+      newOptions.putAll(options)
+      newOptions.remove(UnresolvedRelation.REQUIRED_WRITE_PRIVILEGES)
+      copy(options = new CaseInsensitiveStringMap(newOptions))
+    } else {
+      this
+    }
+  }
+
   final override val nodePatterns: Seq[TreePattern] = Seq(UNRESOLVED_RELATION)
 }
 
 object UnresolvedRelation {
+  // An internal option of `UnresolvedRelation` to specify the required write privileges when
+  // writing data to this relation.
+  val REQUIRED_WRITE_PRIVILEGES = "__required_write_privileges__"
+
   def apply(
       tableIdentifier: TableIdentifier,
       extraOptions: CaseInsensitiveStringMap,
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
index f28a6de9fc2c1..2b600743e1bd8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
@@ -44,7 +44,7 @@ import org.apache.spark.sql.catalyst.trees.TreePattern.PARAMETER
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.catalyst.util.{CharVarcharUtils, DateTimeUtils, GeneratedColumn, IntervalUtils, ResolveDefaultColumns}
 import org.apache.spark.sql.catalyst.util.DateTimeUtils.{convertSpecialDate, convertSpecialTimestamp, convertSpecialTimestampNTZ, getZoneId, stringToDate, stringToTimestamp, stringToTimestampWithoutTimeZone}
-import org.apache.spark.sql.connector.catalog.{CatalogV2Util, SupportsNamespaces, TableCatalog}
+import org.apache.spark.sql.connector.catalog.{CatalogV2Util, SupportsNamespaces, TableCatalog, TableWritePrivilege}
 import org.apache.spark.sql.connector.catalog.TableChange.ColumnPosition
 import org.apache.spark.sql.connector.expressions.{ApplyTransform, BucketTransform, DaysTransform, Expression => V2Expression, FieldReference, HoursTransform, IdentityTransform, LiteralValue, MonthsTransform, Transform, YearsTransform}
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryParsingErrors}
@@ -336,7 +336,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
         = visitInsertIntoTable(table)
         withIdentClause(relationCtx, Seq(query), (ident, otherPlans) => {
           InsertIntoStatement(
-            createUnresolvedRelation(relationCtx, ident),
+            createUnresolvedRelation(relationCtx, ident, Seq(TableWritePrivilege.INSERT)),
             partition,
             cols,
             otherPlans.head,
@@ -349,7 +349,8 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
         = visitInsertOverwriteTable(table)
         withIdentClause(relationCtx, Seq(query), (ident, otherPlans) => {
           InsertIntoStatement(
-            createUnresolvedRelation(relationCtx, ident),
+            createUnresolvedRelation(relationCtx, ident,
+              Seq(TableWritePrivilege.INSERT, TableWritePrivilege.DELETE)),
             partition,
             cols,
             otherPlans.head,
@@ -360,7 +361,8 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       case ctx: InsertIntoReplaceWhereContext =>
         withIdentClause(ctx.identifierReference, Seq(query), (ident, otherPlans) => {
           OverwriteByExpression.byPosition(
-            createUnresolvedRelation(ctx.identifierReference, ident),
+            createUnresolvedRelation(ctx.identifierReference, ident,
+              Seq(TableWritePrivilege.INSERT, TableWritePrivilege.DELETE)),
             otherPlans.head,
             expression(ctx.whereClause().booleanExpression()))
         })
@@ -439,7 +441,8 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
 
   override def visitDeleteFromTable(
       ctx: DeleteFromTableContext): LogicalPlan = withOrigin(ctx) {
-    val table = createUnresolvedRelation(ctx.identifierReference)
+    val table = createUnresolvedRelation(
+      ctx.identifierReference, writePrivileges = Seq(TableWritePrivilege.DELETE))
     val tableAlias = getTableAliasWithoutColumnAlias(ctx.tableAlias(), "DELETE")
     val aliasedTable = tableAlias.map(SubqueryAlias(_, table)).getOrElse(table)
     val predicate = if (ctx.whereClause() != null) {
@@ -451,7 +454,8 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
   }
 
   override def visitUpdateTable(ctx: UpdateTableContext): LogicalPlan = withOrigin(ctx) {
-    val table = createUnresolvedRelation(ctx.identifierReference)
+    val table = createUnresolvedRelation(
+      ctx.identifierReference, writePrivileges = Seq(TableWritePrivilege.UPDATE))
     val tableAlias = getTableAliasWithoutColumnAlias(ctx.tableAlias(), "UPDATE")
     val aliasedTable = tableAlias.map(SubqueryAlias(_, table)).getOrElse(table)
     val assignments = withAssignments(ctx.setClause().assignmentList())
@@ -473,10 +477,6 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
     }
 
   override def visitMergeIntoTable(ctx: MergeIntoTableContext): LogicalPlan = withOrigin(ctx) {
-    val targetTable = createUnresolvedRelation(ctx.target)
-    val targetTableAlias = getTableAliasWithoutColumnAlias(ctx.targetAlias, "MERGE")
-    val aliasedTarget = targetTableAlias.map(SubqueryAlias(_, targetTable)).getOrElse(targetTable)
-
     val sourceTableOrQuery = if (ctx.source != null) {
       createUnresolvedRelation(ctx.source)
     } else if (ctx.sourceQuery != null) {
@@ -506,7 +506,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
             s"Unrecognized matched action: ${clause.matchedAction().getText}")
         }
       }
-    }
+    }.toSeq
     val notMatchedActions = ctx.notMatchedClause().asScala.map {
       clause => {
         if (clause.notMatchedAction().INSERT() != null) {
@@ -527,7 +527,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
             s"Unrecognized matched action: ${clause.notMatchedAction().getText}")
         }
       }
-    }
+    }.toSeq
     val notMatchedBySourceActions = ctx.notMatchedBySourceClause().asScala.map {
       clause => {
         val notMatchedBySourceAction = clause.notMatchedBySourceAction()
@@ -542,7 +542,7 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
             s"Unrecognized matched action: ${clause.notMatchedBySourceAction().getText}")
         }
       }
-    }
+    }.toSeq
     if (matchedActions.isEmpty && notMatchedActions.isEmpty && notMatchedBySourceActions.isEmpty) {
       throw QueryParsingErrors.mergeStatementWithoutWhenClauseError(ctx)
     }
@@ -561,13 +561,19 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       throw QueryParsingErrors.nonLastNotMatchedBySourceClauseOmitConditionError(ctx)
     }
 
+    val targetTable = createUnresolvedRelation(
+      ctx.target,
+      writePrivileges = MergeIntoTable.getWritePrivileges(
+        matchedActions, notMatchedActions, notMatchedBySourceActions))
+    val targetTableAlias = getTableAliasWithoutColumnAlias(ctx.targetAlias, "MERGE")
+    val aliasedTarget = targetTableAlias.map(SubqueryAlias(_, targetTable)).getOrElse(targetTable)
     MergeIntoTable(
       aliasedTarget,
       aliasedSource,
       mergeCondition,
-      matchedActions.toSeq,
-      notMatchedActions.toSeq,
-      notMatchedBySourceActions.toSeq)
+      matchedActions,
+      notMatchedActions,
+      notMatchedBySourceActions)
   }
 
   /**
@@ -2793,16 +2799,23 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
    * Create an [[UnresolvedRelation]] from an identifier reference.
    */
   private def createUnresolvedRelation(
-      ctx: IdentifierReferenceContext): LogicalPlan = withOrigin(ctx) {
-    withIdentClause(ctx, UnresolvedRelation(_))
+      ctx: IdentifierReferenceContext,
+      writePrivileges: Seq[TableWritePrivilege] = Nil): LogicalPlan = withOrigin(ctx) {
+    withIdentClause(ctx, parts => {
+      val relation = new UnresolvedRelation(parts, isStreaming = false)
+      relation.requireWritePrivileges(writePrivileges)
+    })
   }
 
   /**
    * Create an [[UnresolvedRelation]] from a multi-part identifier.
    */
   private def createUnresolvedRelation(
-      ctx: ParserRuleContext, ident: Seq[String]): UnresolvedRelation = withOrigin(ctx) {
-    UnresolvedRelation(ident)
+      ctx: ParserRuleContext,
+      ident: Seq[String],
+      writePrivileges: Seq[TableWritePrivilege]): UnresolvedRelation = withOrigin(ctx) {
+    val relation = new UnresolvedRelation(ident, isStreaming = false)
+    relation.requireWritePrivileges(writePrivileges)
   }
 
   /**
@@ -4601,7 +4614,9 @@ class AstBuilder extends DataTypeAstBuilder with SQLConfHelper with Logging {
       if (query.isDefined) {
         CacheTableAsSelect(ident.head, query.get, source(ctx.query()), isLazy, options)
       } else {
-        CacheTable(createUnresolvedRelation(ctx.identifierReference, ident), ident, isLazy, options)
+        CacheTable(
+          createUnresolvedRelation(ctx.identifierReference, ident, writePrivileges = Nil),
+          ident, isLazy, options)
       }
     })
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
index 805f277cf9f6a..d7669ac0b1d78 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
@@ -758,6 +758,21 @@ case class MergeIntoTable(
     copy(targetTable = newLeft, sourceTable = newRight)
 }
 
+object MergeIntoTable {
+  def getWritePrivileges(
+      matchedActions: Seq[MergeAction],
+      notMatchedActions: Seq[MergeAction],
+      notMatchedBySourceActions: Seq[MergeAction]): Seq[TableWritePrivilege] = {
+    val privileges = scala.collection.mutable.HashSet.empty[TableWritePrivilege]
+    (matchedActions.iterator ++ notMatchedActions ++ notMatchedBySourceActions).foreach {
+      case _: DeleteAction => privileges.add(TableWritePrivilege.DELETE)
+      case _: UpdateAction | _: UpdateStarAction => privileges.add(TableWritePrivilege.UPDATE)
+      case _: InsertAction | _: InsertStarAction => privileges.add(TableWritePrivilege.INSERT)
+    }
+    privileges.toSeq
+  }
+}
+
 sealed abstract class MergeAction extends Expression with Unevaluable {
   def condition: Option[Expression]
   override def nullable: Boolean = false
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
index 47c438f154ab9..f8f682e76cfc8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
@@ -331,9 +331,10 @@ private[sql] object CatalogV2Util {
   def loadTable(
       catalog: CatalogPlugin,
       ident: Identifier,
-      timeTravelSpec: Option[TimeTravelSpec] = None): Option[Table] =
+      timeTravelSpec: Option[TimeTravelSpec] = None,
+      writePrivilegesString: Option[String] = None): Option[Table] =
     try {
-      Option(getTable(catalog, ident, timeTravelSpec))
+      Option(getTable(catalog, ident, timeTravelSpec, writePrivilegesString))
     } catch {
       case _: NoSuchTableException => None
       case _: NoSuchDatabaseException => None
@@ -343,8 +344,10 @@ private[sql] object CatalogV2Util {
   def getTable(
       catalog: CatalogPlugin,
       ident: Identifier,
-      timeTravelSpec: Option[TimeTravelSpec] = None): Table = {
+      timeTravelSpec: Option[TimeTravelSpec] = None,
+      writePrivilegesString: Option[String] = None): Table = {
     if (timeTravelSpec.nonEmpty) {
+      assert(writePrivilegesString.isEmpty, "Should not write to a table with time travel")
       timeTravelSpec.get match {
         case v: AsOfVersion =>
           catalog.asTableCatalog.loadTable(ident, v.version)
@@ -352,7 +355,13 @@ private[sql] object CatalogV2Util {
           catalog.asTableCatalog.loadTable(ident, ts.timestamp)
       }
     } else {
-      catalog.asTableCatalog.loadTable(ident)
+      if (writePrivilegesString.isDefined) {
+        val writePrivileges = writePrivilegesString.get.split(",").map(_.trim)
+          .map(TableWritePrivilege.valueOf).toSet.asJava
+        catalog.asTableCatalog.loadTable(ident, writePrivileges)
+      } else {
+        catalog.asTableCatalog.loadTable(ident)
+      }
     }
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
index 6f36a8c9719cb..176c24d4e100f 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/DDLParserSuite.scala
@@ -39,7 +39,16 @@ class DDLParserSuite extends AnalysisTest {
   }
 
   private def parseCompare(sql: String, expected: LogicalPlan): Unit = {
-    comparePlans(parsePlan(sql), expected, checkAnalysis = false)
+    // We don't care the write privileges in this suite.
+    val parsed = parsePlan(sql).transform {
+      case u: UnresolvedRelation => u.clearWritePrivileges
+      case i: InsertIntoStatement =>
+        i.table match {
+          case u: UnresolvedRelation => i.copy(table = u.clearWritePrivileges)
+          case _ => i
+        }
+    }
+    comparePlans(parsed, expected, checkAnalysis = false)
   }
 
   private def internalException(sqlText: String): SparkThrowable = {
@@ -2614,15 +2623,15 @@ class DDLParserSuite extends AnalysisTest {
     val timestampTypeSql = s"INSERT INTO t PARTITION(part = timestamp'$timestamp') VALUES('a')"
     val binaryTypeSql = s"INSERT INTO t PARTITION(part = X'$binaryHexStr') VALUES('a')"
 
-    comparePlans(parsePlan(dateTypeSql), insertPartitionPlan("2019-01-02"))
+    parseCompare(dateTypeSql, insertPartitionPlan("2019-01-02"))
     withSQLConf(SQLConf.LEGACY_INTERVAL_ENABLED.key -> "true") {
-      comparePlans(parsePlan(intervalTypeSql), insertPartitionPlan(interval))
+      parseCompare(intervalTypeSql, insertPartitionPlan(interval))
     }
-    comparePlans(parsePlan(ymIntervalTypeSql), insertPartitionPlan("INTERVAL '1-2' YEAR TO MONTH"))
-    comparePlans(parsePlan(dtIntervalTypeSql),
+    parseCompare(ymIntervalTypeSql, insertPartitionPlan("INTERVAL '1-2' YEAR TO MONTH"))
+    parseCompare(dtIntervalTypeSql,
       insertPartitionPlan("INTERVAL '1 02:03:04.128462' DAY TO SECOND"))
-    comparePlans(parsePlan(timestampTypeSql), insertPartitionPlan(timestamp))
-    comparePlans(parsePlan(binaryTypeSql), insertPartitionPlan(binaryStr))
+    parseCompare(timestampTypeSql, insertPartitionPlan(timestamp))
+    parseCompare(binaryTypeSql, insertPartitionPlan(binaryStr))
   }
 
   test("SPARK-38335: Implement parser support for DEFAULT values for columns in tables") {
@@ -2717,12 +2726,12 @@ class DDLParserSuite extends AnalysisTest {
 
     // In each of the following cases, the DEFAULT reference parses as an unresolved attribute
     // reference. We can handle these cases after the parsing stage, at later phases of analysis.
-    comparePlans(parsePlan("VALUES (1, 2, DEFAULT) AS val"),
+    parseCompare("VALUES (1, 2, DEFAULT) AS val",
       SubqueryAlias("val",
         UnresolvedInlineTable(Seq("col1", "col2", "col3"), Seq(Seq(Literal(1), Literal(2),
           UnresolvedAttribute("DEFAULT"))))))
-    comparePlans(parsePlan(
-      "INSERT INTO t PARTITION(part = date'2019-01-02') VALUES ('a', DEFAULT)"),
+    parseCompare(
+      "INSERT INTO t PARTITION(part = date'2019-01-02') VALUES ('a', DEFAULT)",
       InsertIntoStatement(
         UnresolvedRelation(Seq("t")),
         Map("part" -> Some("2019-01-02")),
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
index 13474fe29de98..acc5a6ebddd2e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
@@ -39,7 +39,16 @@ class PlanParserSuite extends AnalysisTest {
   import org.apache.spark.sql.catalyst.dsl.plans._
 
   private def assertEqual(sqlCommand: String, plan: LogicalPlan): Unit = {
-    comparePlans(parsePlan(sqlCommand), plan, checkAnalysis = false)
+    // We don't care the write privileges in this suite.
+    val parsed = parsePlan(sqlCommand).transform {
+      case u: UnresolvedRelation => u.clearWritePrivileges
+      case i: InsertIntoStatement =>
+        i.table match {
+          case u: UnresolvedRelation => i.copy(table = u.clearWritePrivileges)
+          case _ => i
+        }
+    }
+    comparePlans(parsed, plan, checkAnalysis = false)
   }
 
   private def parseException(sqlText: String): SparkThrowable = {
@@ -1033,57 +1042,56 @@ class PlanParserSuite extends AnalysisTest {
       errorClass = "PARSE_SYNTAX_ERROR",
       parameters = Map("error" -> "'b'", "hint" -> ""))
 
-    comparePlans(
-      parsePlan("SELECT /*+ HINT */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ HINT */ * FROM t",
       UnresolvedHint("HINT", Seq.empty, table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ BROADCASTJOIN(u) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ BROADCASTJOIN(u) */ * FROM t",
       UnresolvedHint("BROADCASTJOIN", Seq($"u"), table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ MAPJOIN(u) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ MAPJOIN(u) */ * FROM t",
       UnresolvedHint("MAPJOIN", Seq($"u"), table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ STREAMTABLE(a,b,c) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ STREAMTABLE(a,b,c) */ * FROM t",
       UnresolvedHint("STREAMTABLE", Seq($"a", $"b", $"c"), table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ INDEX(t, emp_job_ix) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ INDEX(t, emp_job_ix) */ * FROM t",
       UnresolvedHint("INDEX", Seq($"t", $"emp_job_ix"), table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ MAPJOIN(`default.t`) */ * from `default.t`"),
+    assertEqual(
+      "SELECT /*+ MAPJOIN(`default.t`) */ * from `default.t`",
       UnresolvedHint("MAPJOIN", Seq(UnresolvedAttribute.quoted("default.t")),
         table("default.t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ MAPJOIN(t) */ a from t where true group by a order by a"),
+    assertEqual(
+      "SELECT /*+ MAPJOIN(t) */ a from t where true group by a order by a",
       UnresolvedHint("MAPJOIN", Seq($"t"),
         table("t").where(Literal(true)).groupBy($"a")($"a")).orderBy($"a".asc))
 
-    comparePlans(
-      parsePlan("SELECT /*+ COALESCE(10) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ COALESCE(10) */ * FROM t",
       UnresolvedHint("COALESCE", Seq(Literal(10)),
         table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION(100) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION(100) */ * FROM t",
       UnresolvedHint("REPARTITION", Seq(Literal(100)),
         table("t").select(star())))
 
-    comparePlans(
-      parsePlan(
-        "INSERT INTO s SELECT /*+ REPARTITION(100), COALESCE(500), COALESCE(10) */ * FROM t"),
+    assertEqual(
+      "INSERT INTO s SELECT /*+ REPARTITION(100), COALESCE(500), COALESCE(10) */ * FROM t",
       InsertIntoStatement(table("s"), Map.empty, Nil,
         UnresolvedHint("REPARTITION", Seq(Literal(100)),
           UnresolvedHint("COALESCE", Seq(Literal(500)),
             UnresolvedHint("COALESCE", Seq(Literal(10)),
               table("t").select(star())))), overwrite = false, ifPartitionNotExists = false))
 
-    comparePlans(
-      parsePlan("SELECT /*+ BROADCASTJOIN(u), REPARTITION(100) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ BROADCASTJOIN(u), REPARTITION(100) */ * FROM t",
       UnresolvedHint("BROADCASTJOIN", Seq($"u"),
         UnresolvedHint("REPARTITION", Seq(Literal(100)),
           table("t").select(star()))))
@@ -1094,49 +1102,48 @@ class PlanParserSuite extends AnalysisTest {
       errorClass = "PARSE_SYNTAX_ERROR",
       parameters = Map("error" -> "'+'", "hint" -> ""))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION(c) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION(c) */ * FROM t",
       UnresolvedHint("REPARTITION", Seq(UnresolvedAttribute("c")),
         table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION(100, c) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION(100, c) */ * FROM t",
       UnresolvedHint("REPARTITION", Seq(Literal(100), UnresolvedAttribute("c")),
         table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION(100, c), COALESCE(50) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION(100, c), COALESCE(50) */ * FROM t",
       UnresolvedHint("REPARTITION", Seq(Literal(100), UnresolvedAttribute("c")),
         UnresolvedHint("COALESCE", Seq(Literal(50)),
           table("t").select(star()))))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION(100, c), BROADCASTJOIN(u), COALESCE(50) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION(100, c), BROADCASTJOIN(u), COALESCE(50) */ * FROM t",
       UnresolvedHint("REPARTITION", Seq(Literal(100), UnresolvedAttribute("c")),
         UnresolvedHint("BROADCASTJOIN", Seq($"u"),
           UnresolvedHint("COALESCE", Seq(Literal(50)),
             table("t").select(star())))))
 
-    comparePlans(
-      parsePlan(
-        """
-          |SELECT
-          |/*+ REPARTITION(100, c), BROADCASTJOIN(u), COALESCE(50), REPARTITION(300, c) */
-          |* FROM t
-        """.stripMargin),
+    assertEqual(
+      """
+        |SELECT
+        |/*+ REPARTITION(100, c), BROADCASTJOIN(u), COALESCE(50), REPARTITION(300, c) */
+        |* FROM t
+      """.stripMargin,
       UnresolvedHint("REPARTITION", Seq(Literal(100), UnresolvedAttribute("c")),
         UnresolvedHint("BROADCASTJOIN", Seq($"u"),
           UnresolvedHint("COALESCE", Seq(Literal(50)),
             UnresolvedHint("REPARTITION", Seq(Literal(300), UnresolvedAttribute("c")),
               table("t").select(star()))))))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION_BY_RANGE(c) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION_BY_RANGE(c) */ * FROM t",
       UnresolvedHint("REPARTITION_BY_RANGE", Seq(UnresolvedAttribute("c")),
         table("t").select(star())))
 
-    comparePlans(
-      parsePlan("SELECT /*+ REPARTITION_BY_RANGE(100, c) */ * FROM t"),
+    assertEqual(
+      "SELECT /*+ REPARTITION_BY_RANGE(100, c) */ * FROM t",
       UnresolvedHint("REPARTITION_BY_RANGE", Seq(Literal(100), UnresolvedAttribute("c")),
         table("t").select(star())))
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 4de6b944bc868..84f02c723136b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -30,12 +30,15 @@ import org.apache.spark.sql.catalyst.plans.logical.{AppendData, CreateTableAsSel
 import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
 import org.apache.spark.sql.connector.catalog.{CatalogPlugin, CatalogV2Implicits, CatalogV2Util, Identifier, SupportsCatalogOptions, Table, TableCatalog, TableProvider, V1Table}
 import org.apache.spark.sql.connector.catalog.TableCapability._
+import org.apache.spark.sql.connector.catalog.TableWritePrivilege
+import org.apache.spark.sql.connector.catalog.TableWritePrivilege._
 import org.apache.spark.sql.connector.expressions.{FieldReference, IdentityTransform, Transform}
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.QueryExecution
 import org.apache.spark.sql.execution.command.DDLUtils
 import org.apache.spark.sql.execution.datasources.{CreateTable, DataSource, DataSourceUtils, LogicalRelation}
 import org.apache.spark.sql.execution.datasources.v2._
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.SQLConf.PartitionOverwriteMode
 import org.apache.spark.sql.sources.BaseRelation
 import org.apache.spark.sql.types.StructType
@@ -448,7 +451,7 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
   private def insertInto(catalog: CatalogPlugin, ident: Identifier): Unit = {
     import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
 
-    val table = catalog.asTableCatalog.loadTable(ident) match {
+    val table = catalog.asTableCatalog.loadTable(ident, getWritePrivileges.toSet.asJava) match {
       case _: V1Table =>
         return insertInto(TableIdentifier(ident.name(), ident.namespace().headOption))
       case t =>
@@ -479,7 +482,7 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
   private def insertInto(tableIdent: TableIdentifier): Unit = {
     runCommand(df.sparkSession) {
       InsertIntoStatement(
-        table = UnresolvedRelation(tableIdent),
+        table = UnresolvedRelation(tableIdent).requireWritePrivileges(getWritePrivileges),
         partitionSpec = Map.empty[String, Option[String]],
         Nil,
         query = df.logicalPlan,
@@ -488,6 +491,11 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
     }
   }
 
+  private def getWritePrivileges: Seq[TableWritePrivilege] = mode match {
+    case SaveMode.Overwrite => Seq(INSERT, DELETE)
+    case _ => Seq(INSERT)
+  }
+
   private def getBucketSpec: Option[BucketSpec] = {
     if (sortColumnNames.isDefined && numBuckets.isEmpty) {
       throw QueryCompilationErrors.sortByWithoutBucketingError()
@@ -557,7 +565,8 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
     import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
 
     val session = df.sparkSession
-    val canUseV2 = lookupV2Provider().isDefined
+    val canUseV2 = lookupV2Provider().isDefined ||
+      df.sparkSession.sessionState.conf.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined
 
     session.sessionState.sqlParser.parseMultipartIdentifier(tableName) match {
       case nameParts @ NonSessionCatalogAndIdentifier(catalog, ident) =>
@@ -578,7 +587,7 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
 
   private def saveAsTable(
       catalog: TableCatalog, ident: Identifier, nameParts: Seq[String]): Unit = {
-    val tableOpt = try Option(catalog.loadTable(ident)) catch {
+    val tableOpt = try Option(catalog.loadTable(ident, getWritePrivileges.toSet.asJava)) catch {
       case _: NoSuchTableException => None
     }
 
@@ -639,7 +648,6 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
     val catalog = df.sparkSession.sessionState.catalog
     val qualifiedIdent = catalog.qualifyIdentifier(tableIdent)
     val tableExists = catalog.tableExists(qualifiedIdent)
-    val tableName = qualifiedIdent.unquotedString
 
     (tableExists, mode) match {
       case (true, SaveMode.Ignore) =>
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
index 7ca9c7ef71d67..09d884af05b18 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
@@ -24,6 +24,7 @@ import org.apache.spark.annotation.Experimental
 import org.apache.spark.sql.catalyst.analysis.{CannotReplaceMissingTableException, NoSuchTableException, TableAlreadyExistsException, UnresolvedIdentifier, UnresolvedRelation}
 import org.apache.spark.sql.catalyst.expressions.{Attribute, Bucket, Days, Hours, Literal, Months, Years}
 import org.apache.spark.sql.catalyst.plans.logical.{AppendData, CreateTableAsSelect, LogicalPlan, OptionList, OverwriteByExpression, OverwritePartitionsDynamic, ReplaceTableAsSelect, UnresolvedTableSpec}
+import org.apache.spark.sql.connector.catalog.TableWritePrivilege._
 import org.apache.spark.sql.connector.expressions.{LogicalExpressions, NamedReference, Transform}
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.QueryExecution
@@ -146,7 +147,9 @@ final class DataFrameWriterV2[T] private[sql](table: String, ds: Dataset[T])
    */
   @throws(classOf[NoSuchTableException])
   def append(): Unit = {
-    val append = AppendData.byName(UnresolvedRelation(tableName), logicalPlan, options.toMap)
+    val append = AppendData.byName(
+      UnresolvedRelation(tableName).requireWritePrivileges(Seq(INSERT)),
+      logicalPlan, options.toMap)
     runCommand(append)
   }
 
@@ -163,7 +166,8 @@ final class DataFrameWriterV2[T] private[sql](table: String, ds: Dataset[T])
   @throws(classOf[NoSuchTableException])
   def overwrite(condition: Column): Unit = {
     val overwrite = OverwriteByExpression.byName(
-      UnresolvedRelation(tableName), logicalPlan, condition.expr, options.toMap)
+      UnresolvedRelation(tableName).requireWritePrivileges(Seq(INSERT, DELETE)),
+      logicalPlan, condition.expr, options.toMap)
     runCommand(overwrite)
   }
 
@@ -183,7 +187,8 @@ final class DataFrameWriterV2[T] private[sql](table: String, ds: Dataset[T])
   @throws(classOf[NoSuchTableException])
   def overwritePartitions(): Unit = {
     val dynamicOverwrite = OverwritePartitionsDynamic.byName(
-      UnresolvedRelation(tableName), logicalPlan, options.toMap)
+      UnresolvedRelation(tableName).requireWritePrivileges(Seq(INSERT, DELETE)),
+      logicalPlan, options.toMap)
     runCommand(dynamicOverwrite)
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index aee243b6529da..c96ce2daa49e3 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -669,7 +669,7 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
   }
 
   private def supportsV1Command(catalog: CatalogPlugin): Boolean = {
-    catalog.name().equalsIgnoreCase(CatalogManager.SESSION_CATALOG_NAME) &&
-      !SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined
+    isSessionCatalog(catalog) &&
+      SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isEmpty
   }
 }
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/explain-aqe.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/explain-aqe.sql.out
index f37e31bdb389c..522cfb0cbbd28 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/explain-aqe.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/explain-aqe.sql.out
@@ -196,7 +196,7 @@ ExplainCommand 'Aggregate ['key], ['key, unresolvedalias('MIN('val), None)], For
 -- !query
 EXPLAIN EXTENDED INSERT INTO TABLE explain_temp5 SELECT * FROM explain_temp4
 -- !query analysis
-ExplainCommand 'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [], false, false, false, false, ExtendedMode
+ExplainCommand 'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [__required_write_privileges__=INSERT], false, false, false, false, ExtendedMode
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/explain.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/explain.sql.out
index f37e31bdb389c..522cfb0cbbd28 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/explain.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/explain.sql.out
@@ -196,7 +196,7 @@ ExplainCommand 'Aggregate ['key], ['key, unresolvedalias('MIN('val), None)], For
 -- !query
 EXPLAIN EXTENDED INSERT INTO TABLE explain_temp5 SELECT * FROM explain_temp4
 -- !query analysis
-ExplainCommand 'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [], false, false, false, false, ExtendedMode
+ExplainCommand 'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [__required_write_privileges__=INSERT], false, false, false, false, ExtendedMode
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/results/explain-aqe.sql.out b/sql/core/src/test/resources/sql-tests/results/explain-aqe.sql.out
index 3c2677c936f9c..54fa9ca418cc1 100644
--- a/sql/core/src/test/resources/sql-tests/results/explain-aqe.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/explain-aqe.sql.out
@@ -1081,7 +1081,7 @@ EXPLAIN EXTENDED INSERT INTO TABLE explain_temp5 SELECT * FROM explain_temp4
 struct<plan:string>
 -- !query output
 == Parsed Logical Plan ==
-'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [], false, false, false, false
+'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [__required_write_privileges__=INSERT], false, false, false, false
 +- 'Project [*]
    +- 'UnresolvedRelation [explain_temp4], [], false
 
diff --git a/sql/core/src/test/resources/sql-tests/results/explain.sql.out b/sql/core/src/test/resources/sql-tests/results/explain.sql.out
index f54c6c5e44f2e..20314b5f9b93a 100644
--- a/sql/core/src/test/resources/sql-tests/results/explain.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/explain.sql.out
@@ -1023,7 +1023,7 @@ EXPLAIN EXTENDED INSERT INTO TABLE explain_temp5 SELECT * FROM explain_temp4
 struct<plan:string>
 -- !query output
 == Parsed Logical Plan ==
-'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [], false, false, false, false
+'InsertIntoStatement 'UnresolvedRelation [explain_temp5], [__required_write_privileges__=INSERT], false, false, false, false
 +- 'Project [*]
    +- 'UnresolvedRelation [explain_temp4], [], false
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 4c6ae425291d0..27a0b731021eb 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3442,6 +3442,73 @@ class DataSourceV2SQLSuiteV1Filter
     }
   }
 
+  test("SPARK-49246: read-only catalog") {
+    def assertPrivilegeError(f: => Unit, privilege: String): Unit = {
+      val e = intercept[RuntimeException](f)
+      assert(e.getMessage.contains(privilege))
+    }
+
+    def checkWriteOperations(catalog: String): Unit = {
+      withSQLConf(s"spark.sql.catalog.$catalog" -> classOf[ReadOnlyCatalog].getName) {
+        val input = sql("SELECT 1")
+        val tbl = s"$catalog.default.t"
+        withTable(tbl) {
+          sql(s"CREATE TABLE $tbl (i INT)")
+          val df = sql(s"SELECT * FROM $tbl")
+          assert(df.collect().isEmpty)
+          assert(df.schema == new StructType().add("i", "int"))
+
+          assertPrivilegeError(sql(s"INSERT INTO $tbl SELECT 1"), "INSERT")
+          assertPrivilegeError(
+            sql(s"INSERT INTO $tbl REPLACE WHERE i = 0 SELECT 1"), "DELETE,INSERT")
+          assertPrivilegeError(sql(s"INSERT OVERWRITE $tbl SELECT 1"), "DELETE,INSERT")
+          assertPrivilegeError(sql(s"DELETE FROM $tbl WHERE i = 0"), "DELETE")
+          assertPrivilegeError(sql(s"UPDATE $tbl SET i = 0"), "UPDATE")
+          assertPrivilegeError(
+            sql(s"""
+               |MERGE INTO $tbl USING (SELECT 1 i) AS source
+               |ON source.i = $tbl.i
+               |WHEN MATCHED THEN UPDATE SET *
+               |WHEN NOT MATCHED THEN INSERT *
+               |WHEN NOT MATCHED BY SOURCE THEN DELETE
+               |""".stripMargin),
+            "DELETE,INSERT,UPDATE"
+          )
+
+          assertPrivilegeError(input.write.insertInto(tbl), "INSERT")
+          assertPrivilegeError(input.write.mode("overwrite").insertInto(tbl), "DELETE,INSERT")
+          assertPrivilegeError(input.write.mode("append").saveAsTable(tbl), "INSERT")
+          assertPrivilegeError(input.write.mode("overwrite").saveAsTable(tbl), "DELETE,INSERT")
+          assertPrivilegeError(input.writeTo(tbl).append(), "INSERT")
+          assertPrivilegeError(input.writeTo(tbl).overwrite(df.col("i") === 1), "DELETE,INSERT")
+          assertPrivilegeError(input.writeTo(tbl).overwritePartitions(), "DELETE,INSERT")
+        }
+
+        // Test CTAS
+        withTable(tbl) {
+          // assertPrivilegeError(sql(s"CREATE TABLE $tbl AS SELECT 1 i"), "INSERT")
+        }
+        withTable(tbl) {
+          // assertPrivilegeError(sql(s"CREATE OR REPLACE TABLE $tbl AS SELECT 1 i"), "INSERT")
+        }
+        withTable(tbl) {
+          // assertPrivilegeError(input.write.saveAsTable(tbl), "INSERT")
+        }
+        withTable(tbl) {
+          // assertPrivilegeError(input.writeTo(tbl).create(), "INSERT")
+        }
+        withTable(tbl) {
+          // assertPrivilegeError(input.writeTo(tbl).createOrReplace(), "INSERT")
+        }
+      }
+    }
+    // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
+    // configure a new implementation.
+    spark.sessionState.catalogManager.reset()
+    checkWriteOperations(SESSION_CATALOG_NAME)
+    checkWriteOperations("read_only_cat")
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,
@@ -3517,3 +3584,19 @@ class V2CatalogSupportBuiltinDataSource extends InMemoryCatalog {
   }
 }
 
+class ReadOnlyCatalog extends InMemoryCatalog {
+  override def createTable(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: jutil.Map[String, String]): Table = {
+    super.createTable(ident, columns, partitions, properties)
+  }
+
+  override def loadTable(
+      ident: Identifier,
+      writePrivileges: jutil.Set[TableWritePrivilege]): Table = {
+    throw new RuntimeException("cannot write with " +
+      writePrivileges.asScala.toSeq.map(_.toString).sorted.mkString(","))
+  }
+}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
index a2f3d872a68e9..2979d3cdcab56 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/AlignAssignmentsSuiteBase.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.expressions.objects.AssertNotNull
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogNotFoundException, CatalogV2Util, Column, ColumnDefaultValue, Identifier, SupportsRowLevelOperations, TableCapability, TableCatalog}
+import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogNotFoundException, CatalogV2Util, Column, ColumnDefaultValue, Identifier, SupportsRowLevelOperations, TableCapability, TableCatalog, TableWritePrivilege}
 import org.apache.spark.sql.connector.expressions.{LiteralValue, Transform}
 import org.apache.spark.sql.execution.datasources.v2.V2SessionCatalog
 import org.apache.spark.sql.internal.SQLConf
@@ -160,6 +160,8 @@ abstract class AlignAssignmentsSuiteBase extends AnalysisTest {
         case name => throw new NoSuchTableException(Seq(name))
       }
     })
+    when(newCatalog.loadTable(any(), any[java.util.Set[TableWritePrivilege]]()))
+      .thenCallRealMethod()
     when(newCatalog.name()).thenReturn("cat")
     newCatalog
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
index 8eb0d5456c111..d738270699bd8 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
@@ -36,7 +36,7 @@ import org.apache.spark.sql.catalyst.plans.logical.{AlterColumn, AnalysisOnlyCom
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.util.TypeUtils.toSQLId
 import org.apache.spark.sql.connector.FakeV2Provider
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogNotFoundException, Column, ColumnDefaultValue, Identifier, SupportsDelete, Table, TableCapability, TableCatalog, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogNotFoundException, Column, ColumnDefaultValue, Identifier, SupportsDelete, Table, TableCapability, TableCatalog, TableWritePrivilege, V1Table}
 import org.apache.spark.sql.connector.catalog.CatalogManager.SESSION_CATALOG_NAME
 import org.apache.spark.sql.connector.expressions.{LiteralValue, Transform}
 import org.apache.spark.sql.execution.datasources.{CreateTable => CreateTableV1}
@@ -157,6 +157,8 @@ class PlanResolutionSuite extends AnalysisTest {
         case name => throw new NoSuchTableException(Seq(name))
       }
     })
+    when(newCatalog.loadTable(any(), any[java.util.Set[TableWritePrivilege]]()))
+      .thenCallRealMethod()
     when(newCatalog.name()).thenReturn("testcat")
     newCatalog
   }
@@ -174,6 +176,8 @@ class PlanResolutionSuite extends AnalysisTest {
         case name => throw new NoSuchTableException(Seq(name))
       }
     })
+    when(newCatalog.loadTable(any(), any[java.util.Set[TableWritePrivilege]]()))
+      .thenCallRealMethod()
     when(newCatalog.name()).thenReturn(CatalogManager.SESSION_CATALOG_NAME)
     newCatalog
   }

From 481bc58bddb6b998386b320e61a1b9f0e73c4711 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Tue, 26 Dec 2023 15:17:30 +0800
Subject: [PATCH 819/986] [SPARK-46444][SQL] V2SessionCatalog#createTable
 should not load the table

It's a perf regression in CREATE TABLE if we switch to the v2 command framework, as `V2SessionCatalog#createTable` does an extra table lookup, which does not happen in v1. This PR fixes it by allowing `TableCatalog#createTable` to return null, and Spark will call `loadTable` to get the new table metadata in the case of CTAS. This PR also fixed `alterTable` in the same way.

fix perf regression in v2. The perf of a single command may not matter, but in a cluster with many Spark applications, it's important to reduce the RPCs to the metastore.

no

existing tests

No

Closes #44377 from cloud-fan/create-table.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/connector/catalog/TableCatalog.java   |   8 +-
 .../datasources/v2/V2SessionCatalog.scala     |   6 +-
 .../v2/WriteToDataSourceV2Exec.scala          |   8 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  |  13 +-
 .../connector/TestV2SessionCatalogBase.scala  |   5 +-
 .../v2/V2SessionCatalogSuite.scala            | 181 +++++++++++-------
 6 files changed, 139 insertions(+), 82 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
index 387477d0f1911..d1951a7f7fbf3 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java
@@ -208,7 +208,9 @@ Table createTable(
    * @param columns the columns of the new table.
    * @param partitions transforms to use for partitioning data in the table
    * @param properties a string map of table properties
-   * @return metadata for the new table
+   * @return metadata for the new table. This can be null if getting the metadata for the new table
+   *         is expensive. Spark will call {@link #loadTable(Identifier)} if needed (e.g. CTAS).
+   *
    * @throws TableAlreadyExistsException If a table or view already exists for the identifier
    * @throws UnsupportedOperationException If a requested partition transform is not supported
    * @throws NoSuchNamespaceException If the identifier namespace does not exist (optional)
@@ -242,7 +244,9 @@ default boolean useNullableQuerySchema() {
    *
    * @param ident a table identifier
    * @param changes changes to apply to the table
-   * @return updated metadata for the table
+   * @return updated metadata for the table. This can be null if getting the metadata for the
+   *         updated table is expensive. Spark always discard the returned table here.
+   *
    * @throws NoSuchTableException If the table doesn't exist or is a view
    * @throws IllegalArgumentException If any change is rejected by the implementation.
    */
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
index d7ab23cf08ddd..a022a01455a09 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalog.scala
@@ -148,7 +148,7 @@ class V2SessionCatalog(catalog: SessionCatalog)
         throw QueryCompilationErrors.tableAlreadyExistsError(ident)
     }
 
-    loadTable(ident)
+    null // Return null to save the `loadTable` call for CREATE TABLE without AS SELECT.
   }
 
   private def toOptions(properties: Map[String, String]): Map[String, String] = {
@@ -189,7 +189,7 @@ class V2SessionCatalog(catalog: SessionCatalog)
         throw QueryCompilationErrors.noSuchTableError(ident)
     }
 
-    loadTable(ident)
+    null // Return null to save the `loadTable` call for ALTER TABLE.
   }
 
   override def purgeTable(ident: Identifier): Boolean = {
@@ -233,8 +233,6 @@ class V2SessionCatalog(catalog: SessionCatalog)
       throw QueryCompilationErrors.tableAlreadyExistsError(newIdent)
     }
 
-    // Load table to make sure the table exists
-    loadTable(oldIdent)
     catalog.renameTable(oldIdent.asTableIdentifier, newIdent.asTableIdentifier)
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
index 4a9b85450a176..89c879beda825 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
@@ -28,7 +28,7 @@ import org.apache.spark.sql.catalyst.expressions.Attribute
 import org.apache.spark.sql.catalyst.plans.logical.{AppendData, LogicalPlan, TableSpec, UnaryNode}
 import org.apache.spark.sql.catalyst.util.{removeInternalMetadata, CharVarcharUtils, WriteDeltaProjections}
 import org.apache.spark.sql.catalyst.util.RowDeltaUtils.{DELETE_OPERATION, INSERT_OPERATION, UPDATE_OPERATION}
-import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Column, Identifier, StagedTable, StagingTableCatalog, Table, TableCatalog}
+import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Column, Identifier, StagedTable, StagingTableCatalog, Table, TableCatalog, TableWritePrivilege}
 import org.apache.spark.sql.connector.expressions.Transform
 import org.apache.spark.sql.connector.metric.CustomMetric
 import org.apache.spark.sql.connector.write.{BatchWrite, DataWriter, DataWriterFactory, DeltaWrite, DeltaWriter, PhysicalWriteInfoImpl, Write, WriterCommitMessage}
@@ -81,9 +81,10 @@ case class CreateTableAsSelectExec(
       }
       throw QueryCompilationErrors.tableAlreadyExistsError(ident)
     }
-    val table = catalog.createTable(
+    val table = Option(catalog.createTable(
       ident, getV2Columns(query.schema, catalog.useNullableQuerySchema),
       partitioning.toArray, properties.asJava)
+    ).getOrElse(catalog.loadTable(ident, Set(TableWritePrivilege.INSERT).asJava))
     writeToTable(catalog, table, writeOptions, ident, query)
   }
 }
@@ -161,9 +162,10 @@ case class ReplaceTableAsSelectExec(
     } else if (!orCreate) {
       throw QueryCompilationErrors.cannotReplaceMissingTableError(ident)
     }
-    val table = catalog.createTable(
+    val table = Option(catalog.createTable(
       ident, getV2Columns(query.schema, catalog.useNullableQuerySchema),
       partitioning.toArray, properties.asJava)
+    ).getOrElse(catalog.loadTable(ident, Set(TableWritePrivilege.INSERT).asJava))
     writeToTable(catalog, table, writeOptions, ident, query)
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 27a0b731021eb..6ae182810b8ef 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3486,19 +3486,19 @@ class DataSourceV2SQLSuiteV1Filter
 
         // Test CTAS
         withTable(tbl) {
-          // assertPrivilegeError(sql(s"CREATE TABLE $tbl AS SELECT 1 i"), "INSERT")
+          assertPrivilegeError(sql(s"CREATE TABLE $tbl AS SELECT 1 i"), "INSERT")
         }
         withTable(tbl) {
-          // assertPrivilegeError(sql(s"CREATE OR REPLACE TABLE $tbl AS SELECT 1 i"), "INSERT")
+          assertPrivilegeError(sql(s"CREATE OR REPLACE TABLE $tbl AS SELECT 1 i"), "INSERT")
         }
         withTable(tbl) {
-          // assertPrivilegeError(input.write.saveAsTable(tbl), "INSERT")
+          assertPrivilegeError(input.write.saveAsTable(tbl), "INSERT")
         }
         withTable(tbl) {
-          // assertPrivilegeError(input.writeTo(tbl).create(), "INSERT")
+          assertPrivilegeError(input.writeTo(tbl).create(), "INSERT")
         }
         withTable(tbl) {
-          // assertPrivilegeError(input.writeTo(tbl).createOrReplace(), "INSERT")
+          assertPrivilegeError(input.writeTo(tbl).createOrReplace(), "INSERT")
         }
       }
     }
@@ -3560,7 +3560,7 @@ class V2CatalogSupportBuiltinDataSource extends InMemoryCatalog {
       partitions: Array[Transform],
       properties: jutil.Map[String, String]): Table = {
     super.createTable(ident, columns, partitions, properties)
-    loadTable(ident)
+    null
   }
 
   override def loadTable(ident: Identifier): Table = {
@@ -3591,6 +3591,7 @@ class ReadOnlyCatalog extends InMemoryCatalog {
       partitions: Array[Transform],
       properties: jutil.Map[String, String]): Table = {
     super.createTable(ident, columns, partitions, properties)
+    null
   }
 
   override def loadTable(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
index 9042231bdc59f..9144fb9390454 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
@@ -78,6 +78,7 @@ private[connector] trait TestV2SessionCatalogBase[T <: Table] extends Delegating
       schema: StructType,
       partitions: Array[Transform],
       properties: java.util.Map[String, String]): Table = {
+    import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
     val key = TestV2SessionCatalogBase.SIMULATE_ALLOW_EXTERNAL_PROPERTY
     val newProps = new java.util.HashMap[String, String]()
     newProps.putAll(properties)
@@ -96,8 +97,8 @@ private[connector] trait TestV2SessionCatalogBase[T <: Table] extends Delegating
     } else {
       newProps
     }
-    val created = super.createTable(ident, schema, partitions, propsWithLocation)
-    val t = newTable(created.name(), schema, partitions, propsWithLocation)
+    super.createTable(ident, schema, partitions, propsWithLocation)
+    val t = newTable(ident.quoted, schema, partitions, propsWithLocation)
     addTable(ident, t)
     t
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalogSuite.scala
index 8f5996438e202..01033cd681b73 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/V2SessionCatalogSuite.scala
@@ -125,7 +125,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
 
     assert(!catalog.tableExists(testIdent))
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     val parsed = CatalystSqlParser.parseMultipartIdentifier(table.name)
     assert(parsed == Seq("db", "test_table"))
@@ -143,7 +144,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
 
     assert(!catalog.tableExists(testIdent))
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, properties)
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val table = catalog.loadTable(testIdent)
 
     val parsed = CatalystSqlParser.parseMultipartIdentifier(table.name)
     assert(parsed == Seq("db", "test_table"))
@@ -158,7 +160,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
 
     assert(!catalog.tableExists(testIdent))
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     val parsed = CatalystSqlParser.parseMultipartIdentifier(table.name)
       .map(part => quoteIdentifier(part)).mkString(".")
@@ -185,26 +188,30 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     assert(!catalog.tableExists(testIdent))
 
     // default location
-    val t1 = catalog.createTable(testIdent, schema, emptyTrans, properties).asInstanceOf[V1Table]
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val t1 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t1.catalogTable.location ===
       spark.sessionState.catalog.defaultTablePath(testIdent.asTableIdentifier))
     catalog.dropTable(testIdent)
 
     // relative path
     properties.put(TableCatalog.PROP_LOCATION, "relative/path")
-    val t2 = catalog.createTable(testIdent, schema, emptyTrans, properties).asInstanceOf[V1Table]
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val t2 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t2.catalogTable.location === makeQualifiedPathWithWarehouse("db.db/relative/path"))
     catalog.dropTable(testIdent)
 
     // absolute path without scheme
     properties.put(TableCatalog.PROP_LOCATION, "/absolute/path")
-    val t3 = catalog.createTable(testIdent, schema, emptyTrans, properties).asInstanceOf[V1Table]
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val t3 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t3.catalogTable.location.toString === "file:///absolute/path")
     catalog.dropTable(testIdent)
 
     // absolute path with scheme
     properties.put(TableCatalog.PROP_LOCATION, "file:/absolute/path")
-    val t4 = catalog.createTable(testIdent, schema, emptyTrans, properties).asInstanceOf[V1Table]
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val t4 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t4.catalogTable.location.toString === "file:/absolute/path")
     catalog.dropTable(testIdent)
   }
@@ -226,12 +233,11 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("loadTable") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
     val loaded = catalog.loadTable(testIdent)
 
-    assert(table.name == loaded.name)
-    assert(table.schema == loaded.schema)
-    assert(table.properties == loaded.properties)
+    assert(loaded.name == testIdent.toString)
+    assert(loaded.schema == schema)
   }
 
   test("loadTable: table does not exist") {
@@ -247,7 +253,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("invalidateTable") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
     catalog.invalidateTable(testIdent)
 
     val loaded = catalog.loadTable(testIdent)
@@ -268,11 +275,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add property") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(filterV2TableProperties(table.properties) == Map())
 
-    val updated = catalog.alterTable(testIdent, TableChange.setProperty("prop-1", "1"))
+    catalog.alterTable(testIdent, TableChange.setProperty("prop-1", "1"))
+    val updated = catalog.loadTable(testIdent)
     assert(filterV2TableProperties(updated.properties) == Map("prop-1" -> "1"))
 
     val loaded = catalog.loadTable(testIdent)
@@ -287,11 +296,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val properties = new util.HashMap[String, String]()
     properties.put("prop-1", "1")
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, properties)
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val table = catalog.loadTable(testIdent)
 
     assert(filterV2TableProperties(table.properties) == Map("prop-1" -> "1"))
 
-    val updated = catalog.alterTable(testIdent, TableChange.setProperty("prop-2", "2"))
+    catalog.alterTable(testIdent, TableChange.setProperty("prop-2", "2"))
+    val updated = catalog.loadTable(testIdent)
     assert(filterV2TableProperties(updated.properties) == Map("prop-1" -> "1", "prop-2" -> "2"))
 
     val loaded = catalog.loadTable(testIdent)
@@ -306,11 +317,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val properties = new util.HashMap[String, String]()
     properties.put("prop-1", "1")
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, properties)
+    catalog.createTable(testIdent, schema, emptyTrans, properties)
+    val table = catalog.loadTable(testIdent)
 
     assert(filterV2TableProperties(table.properties) == Map("prop-1" -> "1"))
 
-    val updated = catalog.alterTable(testIdent, TableChange.removeProperty("prop-1"))
+    catalog.alterTable(testIdent, TableChange.removeProperty("prop-1"))
+    val updated = catalog.loadTable(testIdent)
     assert(filterV2TableProperties(updated.properties) == Map())
 
     val loaded = catalog.loadTable(testIdent)
@@ -322,11 +335,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: remove missing property") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(filterV2TableProperties(table.properties) == Map())
 
-    val updated = catalog.alterTable(testIdent, TableChange.removeProperty("prop-1"))
+    catalog.alterTable(testIdent, TableChange.removeProperty("prop-1"))
+    val updated = catalog.loadTable(testIdent)
     assert(filterV2TableProperties(updated.properties) == Map())
 
     val loaded = catalog.loadTable(testIdent)
@@ -338,11 +353,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add top-level column") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent, TableChange.addColumn(Array("ts"), TimestampType))
+    catalog.alterTable(testIdent, TableChange.addColumn(Array("ts"), TimestampType))
+    val updated = catalog.loadTable(testIdent)
 
     assert(updated.schema == schema.add("ts", TimestampType))
   }
@@ -350,12 +367,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add required column") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.addColumn(Array("ts"), TimestampType, false))
+    val updated = catalog.loadTable(testIdent)
 
     assert(updated.schema == schema.add("ts", TimestampType, nullable = false))
   }
@@ -363,12 +382,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add column with comment") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.addColumn(Array("ts"), TimestampType, false, "comment text"))
+    val updated = catalog.loadTable(testIdent)
 
     val field = StructField("ts", TimestampType, nullable = false).withComment("comment text")
     assert(updated.schema == schema.add(field))
@@ -380,12 +401,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.addColumn(Array("point", "z"), DoubleType))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = schema.add("point", pointStruct.add("z", DoubleType))
 
@@ -395,7 +418,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add column to primitive field fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -413,7 +437,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add field to missing column fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -429,11 +454,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: update column data type") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent, TableChange.updateColumnType(Array("id"), LongType))
+    catalog.alterTable(testIdent, TableChange.updateColumnType(Array("id"), LongType))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = new StructType().add("id", LongType).add("data", StringType)
     assert(updated.schema == expectedSchema)
@@ -445,12 +472,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val originalSchema = new StructType()
         .add("id", IntegerType, nullable = false)
         .add("data", StringType)
-    val table = catalog.createTable(testIdent, originalSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, originalSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == originalSchema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.updateColumnNullability(Array("id"), true))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = new StructType().add("id", IntegerType).add("data", StringType)
     assert(updated.schema == expectedSchema)
@@ -459,7 +488,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: update missing column fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -475,12 +505,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add comment") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.updateColumnComment(Array("id"), "comment text"))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = new StructType()
         .add("id", IntegerType, nullable = true, "comment text")
@@ -491,7 +523,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: replace comment") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -501,8 +534,9 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
         .add("id", IntegerType, nullable = true, "replacement comment")
         .add("data", StringType)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.updateColumnComment(Array("id"), "replacement comment"))
+    val updated = catalog.loadTable(testIdent)
 
     assert(updated.schema == expectedSchema)
   }
@@ -510,7 +544,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: add comment to missing column fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -526,11 +561,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: rename top-level column") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent, TableChange.renameColumn(Array("id"), "some_id"))
+    catalog.alterTable(testIdent, TableChange.renameColumn(Array("id"), "some_id"))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = new StructType().add("some_id", IntegerType).add("data", StringType)
 
@@ -543,12 +580,14 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.renameColumn(Array("point", "x"), "first"))
+    val updated = catalog.loadTable(testIdent)
 
     val newPointStruct = new StructType().add("first", DoubleType).add("y", DoubleType)
     val expectedSchema = schema.add("point", newPointStruct)
@@ -562,12 +601,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
-    val updated = catalog.alterTable(testIdent,
-      TableChange.renameColumn(Array("point"), "p"))
+    catalog.alterTable(testIdent, TableChange.renameColumn(Array("point"), "p"))
+    val updated = catalog.loadTable(testIdent)
 
     val newPointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val expectedSchema = schema.add("p", newPointStruct)
@@ -578,7 +618,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: rename missing column fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -597,13 +638,15 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
-    val updated = catalog.alterTable(testIdent,
+    catalog.alterTable(testIdent,
       TableChange.renameColumn(Array("point", "x"), "first"),
       TableChange.renameColumn(Array("point", "y"), "second"))
+    val updated = catalog.loadTable(testIdent)
 
     val newPointStruct = new StructType().add("first", DoubleType).add("second", DoubleType)
     val expectedSchema = schema.add("point", newPointStruct)
@@ -614,12 +657,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: delete top-level column") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
-    val updated = catalog.alterTable(testIdent,
-      TableChange.deleteColumn(Array("id"), false))
+    catalog.alterTable(testIdent, TableChange.deleteColumn(Array("id"), false))
+    val updated = catalog.loadTable(testIdent)
 
     val expectedSchema = new StructType().add("data", StringType)
     assert(updated.schema == expectedSchema)
@@ -631,12 +675,13 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
-    val updated = catalog.alterTable(testIdent,
-      TableChange.deleteColumn(Array("point", "y"), false))
+    catalog.alterTable(testIdent, TableChange.deleteColumn(Array("point", "y"), false))
+    val updated = catalog.loadTable(testIdent)
 
     val newPointStruct = new StructType().add("x", DoubleType)
     val expectedSchema = schema.add("point", newPointStruct)
@@ -647,7 +692,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
   test("alterTable: delete missing column fails") {
     val catalog = newCatalog()
 
-    val table = catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == schema)
 
@@ -669,7 +715,8 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     val pointStruct = new StructType().add("x", DoubleType).add("y", DoubleType)
     val tableSchema = schema.add("point", pointStruct)
 
-    val table = catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    catalog.createTable(testIdent, tableSchema, emptyTrans, emptyProps)
+    val table = catalog.loadTable(testIdent)
 
     assert(table.schema == tableSchema)
 
@@ -700,23 +747,27 @@ class V2SessionCatalogTableSuite extends V2SessionCatalogBaseSuite {
     assert(!catalog.tableExists(testIdent))
 
     // default location
-    val t1 = catalog.createTable(testIdent, schema, emptyTrans, emptyProps).asInstanceOf[V1Table]
+    catalog.createTable(testIdent, schema, emptyTrans, emptyProps)
+    val t1 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t1.catalogTable.location ===
       spark.sessionState.catalog.defaultTablePath(testIdent.asTableIdentifier))
 
     // relative path
-    val t2 = catalog.alterTable(testIdent,
-      TableChange.setProperty(TableCatalog.PROP_LOCATION, "relative/path")).asInstanceOf[V1Table]
+    catalog.alterTable(testIdent,
+      TableChange.setProperty(TableCatalog.PROP_LOCATION, "relative/path"))
+    val t2 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t2.catalogTable.location === makeQualifiedPathWithWarehouse("db.db/relative/path"))
 
     // absolute path without scheme
-    val t3 = catalog.alterTable(testIdent,
-      TableChange.setProperty(TableCatalog.PROP_LOCATION, "/absolute/path")).asInstanceOf[V1Table]
+    catalog.alterTable(testIdent,
+      TableChange.setProperty(TableCatalog.PROP_LOCATION, "/absolute/path"))
+    val t3 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t3.catalogTable.location.toString === "file:///absolute/path")
 
     // absolute path with scheme
-    val t4 = catalog.alterTable(testIdent, TableChange.setProperty(
-      TableCatalog.PROP_LOCATION, "file:/absolute/path")).asInstanceOf[V1Table]
+    catalog.alterTable(testIdent, TableChange.setProperty(
+      TableCatalog.PROP_LOCATION, "file:/absolute/path"))
+    val t4 = catalog.loadTable(testIdent).asInstanceOf[V1Table]
     assert(t4.catalogTable.location.toString === "file:/absolute/path")
   }
 

From eaadb39c29509881d0778432e226ab0357e688c8 Mon Sep 17 00:00:00 2001
From: zhangshuyan <zhangshuyan@apache.org>
Date: Thu, 22 Aug 2024 13:29:46 -0700
Subject: [PATCH 820/986] [SPARK-49300][CORE][3.5] Fix Hadoop delegation token
 leak when tokenRenewalInterval is not set

Backport from master.

### What changes were proposed in this pull request?

Cancel delegation token once they are used in `getTokenRenewalInterval`

### Why are the changes needed?

When `tokenRenewalInterval` is not set, HadoopFSDelegationTokenProvider#getTokenRenewalInterval will fetch some tokens and renew them to get a interval value.
https://github.com/apache/spark/blob/dd259b0b27841e6dd7c07f8ca3cc05d275863dd5/core/src/main/scala/org/apache/spark/deploy/security/HadoopFSDelegationTokenProvider.scala#L60-L64
These tokens do not call cancel(), resulting in a large number of existing tokens on HDFS not being cleared in a timely manner, causing additional pressure on the HDFS server.
### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

manual test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47823 from zhangshuyan0/branch-3.5-zsy.

Authored-by: zhangshuyan <zhangshuyan@apache.org>
Signed-off-by: Chao Sun <chao@openai.com>
---
 .../deploy/security/HadoopFSDelegationTokenProvider.scala      | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/deploy/security/HadoopFSDelegationTokenProvider.scala b/core/src/main/scala/org/apache/spark/deploy/security/HadoopFSDelegationTokenProvider.scala
index 6ec281f5b4406..c3f931f356ea7 100644
--- a/core/src/main/scala/org/apache/spark/deploy/security/HadoopFSDelegationTokenProvider.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/security/HadoopFSDelegationTokenProvider.scala
@@ -146,6 +146,9 @@ private[deploy] class HadoopFSDelegationTokenProvider
         val tokenKind = token.getKind.toString
         val interval = newExpiration - getIssueDate(tokenKind, identifier)
         logInfo(s"Renewal interval is $interval for token $tokenKind")
+        // The token here is only used to obtain renewal intervals. We should cancel it in
+        // a timely manner to avoid causing additional pressure on the server.
+        token.cancel(hadoopConf)
         interval
       }.toOption
     }

From b2a25bec2912a8cd7cc624c567ec3215f02a7ffa Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Fri, 23 Aug 2024 08:21:38 +0800
Subject: [PATCH 821/986] [SPARK-49333][SQL] Shutdown timeout thread while
 cleaning up SparkExecuteStatementOperation

### What changes were proposed in this pull request?

Shutdown timeout thread while cleaning up `SparkExecuteStatementOperation`.

### Why are the changes needed?

Avoid Spark driver memory leak if query timeout is configured. For example, there are 4127 `SparkExecuteStatementOperation` instances in the Spark driver:
```
jmap  -histo 398 | grep SparkExecuteStatementOperation

 308:          4127        1122544  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation
 563:          4127         363176  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$ErrRowCountType$
 876:          4127         132064  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1
2101:           333           7992  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$5
3106:            32           1024  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2
3303:            32            768  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$3755/0x00000008021fe800
3304:            32            768  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3
3961:             9            360  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$5398/0x0000000802523900
3962:             9            360  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$5399/0x0000000802523bd8
20239:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$
20240:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$$Lambda$5397/0x000000080251e180
20241:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$11228/0x000000080306ba38
20242:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$11230/0x00000008032962d8
20243:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$11231/0x00000008032966b8
20244:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$5363/0x0000000802509470
20245:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$5367/0x000000080250a618
20246:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$6475/0x00000008026fda40
20247:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$7355/0x00000008028aa180
20248:             1             16  org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$Lambda$7356/0x00000008028aa560
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47826 from wangyum/SPARK-49333.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit 853731dc5731e4f185d7364c500cc633cfd52d07)
Signed-off-by: Yuming Wang <yumwang@ebay.com>
---
 .../thriftserver/SparkExecuteStatementOperation.scala  | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
index e6b4c70bb395b..47ec242c9da95 100644
--- a/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
+++ b/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkExecuteStatementOperation.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.hive.thriftserver
 
 import java.security.PrivilegedExceptionAction
 import java.util.{Collections, Map => JMap}
-import java.util.concurrent.{Executors, RejectedExecutionException, TimeUnit}
+import java.util.concurrent.{Executors, RejectedExecutionException, ScheduledExecutorService, TimeUnit}
 
 import scala.collection.JavaConverters._
 import scala.util.control.NonFatal
@@ -60,6 +60,7 @@ private[hive] class SparkExecuteStatementOperation(
       queryTimeout
     }
   }
+  private var timeoutExecutor: ScheduledExecutorService = _
 
   private val forceCancel = sqlContext.conf.getConf(SQLConf.THRIFTSERVER_FORCE_CANCEL)
 
@@ -132,7 +133,7 @@ private[hive] class SparkExecuteStatementOperation(
     setHasResultSet(true) // avoid no resultset for async run
 
     if (timeout > 0) {
-      val timeoutExecutor = Executors.newSingleThreadScheduledExecutor()
+      timeoutExecutor = Executors.newSingleThreadScheduledExecutor()
       timeoutExecutor.schedule(new Runnable {
         override def run(): Unit = {
           try {
@@ -306,6 +307,11 @@ private[hive] class SparkExecuteStatementOperation(
     if (statementId != null) {
       sqlContext.sparkContext.cancelJobGroup(statementId)
     }
+    // Shutdown the timeout thread if any, while cleaning up this operation
+    if (timeoutExecutor != null &&
+      getStatus.getState != OperationState.TIMEDOUT && getStatus.getState.isTerminal) {
+      timeoutExecutor.shutdownNow()
+    }
   }
 }
 

From f4bcefbe8b33f6d8e64d2542eb69ea271e6a97c5 Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Fri, 23 Aug 2024 22:26:39 -0700
Subject: [PATCH 822/986] [SPARK-49352][SQL][3.5] Avoid redundant array
 transform for identical expression

### What changes were proposed in this pull request?

This patch avoids `ArrayTransform` in `resolveArrayType` function if the resolution expression is the same as input param.

### Why are the changes needed?

Our customer encounters significant performance regression when migrating from Spark 3.2 to Spark 3.4 on a `Insert Into` query which is analyzed as a `AppendData` on an Iceberg table.
We found that the root cause is in Spark 3.4, `TableOutputResolver` resolves the query with additional `ArrayTransform` on an `ArrayType` field. The `ArrayTransform`'s lambda function is actually an identical function, i.e., the transformation is redundant.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Unit test and manual e2e test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47863 from viirya/fix_redundant_array_transform_3.5.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../analysis/TableOutputResolver.scala        | 12 +++++--
 .../analysis/V2WriteAnalysisSuite.scala       | 32 ++++++++++++++++++-
 2 files changed, 41 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
index 42abc0eafda7a..fabb5634ad10c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala
@@ -371,8 +371,16 @@ object TableOutputResolver {
       resolveColumnsByPosition(tableName, Seq(param), Seq(fakeAttr), conf, addError, colPath)
     }
     if (res.length == 1) {
-      val func = LambdaFunction(res.head, Seq(param))
-      Some(Alias(ArrayTransform(nullCheckedInput, func), expected.name)())
+      if (res.head == param) {
+        // If the element type is the same, we can reuse the input array directly.
+        Some(
+          Alias(nullCheckedInput, expected.name)(
+            nonInheritableMetadataKeys =
+              Seq(CharVarcharUtils.CHAR_VARCHAR_TYPE_STRING_METADATA_KEY)))
+      } else {
+        val func = LambdaFunction(res.head, Seq(param))
+        Some(Alias(ArrayTransform(nullCheckedInput, func), expected.name)())
+      }
     } else {
       None
     }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/V2WriteAnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/V2WriteAnalysisSuite.scala
index d91a080d8fe89..21a049e914182 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/V2WriteAnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/V2WriteAnalysisSuite.scala
@@ -22,7 +22,7 @@ import java.util.Locale
 import org.apache.spark.QueryContext
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.{Alias, AttributeReference, Cast, CreateNamedStruct, GetStructField, If, IsNull, LessThanOrEqual, Literal}
+import org.apache.spark.sql.catalyst.expressions.{Alias, ArrayTransform, AttributeReference, Cast, CreateNamedStruct, GetStructField, If, IsNull, LessThanOrEqual, Literal}
 import org.apache.spark.sql.catalyst.expressions.objects.AssertNotNull
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.Rule
@@ -304,6 +304,36 @@ abstract class V2WriteAnalysisSuiteBase extends AnalysisTest {
 
   def byPosition(table: NamedRelation, query: LogicalPlan): LogicalPlan
 
+  test("SPARK-49352: Avoid redundant array transform for identical expression") {
+    def assertArrayField(fromType: ArrayType, toType: ArrayType, hasTransform: Boolean): Unit = {
+      val table = TestRelation(Seq($"a".int, $"arr".array(toType)))
+      val query = TestRelation(Seq($"arr".array(fromType), $"a".int))
+
+      val writePlan = byName(table, query).analyze
+
+      assertResolved(writePlan)
+      checkAnalysis(writePlan, writePlan)
+
+      val transform = writePlan.children.head.expressions.exists { e =>
+        e.find {
+          case _: ArrayTransform => true
+          case _ => false
+        }.isDefined
+      }
+      if (hasTransform) {
+        assert(transform)
+      } else {
+        assert(!transform)
+      }
+    }
+
+    assertArrayField(ArrayType(LongType), ArrayType(LongType), hasTransform = false)
+    assertArrayField(
+      ArrayType(new StructType().add("x", "int").add("y", "int")),
+      ArrayType(new StructType().add("y", "int").add("x", "byte")),
+      hasTransform = true)
+  }
+
   test("SPARK-33136: output resolved on complex types for V2 write commands") {
     def assertTypeCompatibility(name: String, fromType: DataType, toType: DataType): Unit = {
       val table = TestRelation(StructType(Seq(StructField("a", toType))))

From 5eca9530309c681a0e522d010f380c61a1d3df50 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 23 Aug 2024 10:49:39 +0900
Subject: [PATCH 823/986] [SPARK-49359][SQL] Allow StagedTableCatalog
 implementations to fall back to non-atomic write

### What changes were proposed in this pull request?

This PR allows `StagedTableCatalog#create/replaceTable` to return null and Spark will fall back to normal non-atomic write.

### Why are the changes needed?

Extending an interface is static but sometimes the implementations need more dynamicity. For example, a catalog may only support atomic CTAS for certain table formats, and we shouldn't force them to implement atomic writes for all other formats.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #47848 from cloud-fan/stage.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../catalog/StagingTableCatalog.java          |  9 ++-
 .../v2/WriteToDataSourceV2Exec.scala          |  7 +-
 .../sql/connector/DataSourceV2SQLSuite.scala  | 72 +++++++++++++++++++
 3 files changed, 83 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/StagingTableCatalog.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/StagingTableCatalog.java
index 4337a7c615208..3094b0cf1bbda 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/StagingTableCatalog.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/StagingTableCatalog.java
@@ -80,7 +80,8 @@ StagedTable stageCreate(
    * @param columns the column of the new table
    * @param partitions transforms to use for partitioning data in the table
    * @param properties a string map of table properties
-   * @return metadata for the new table
+   * @return metadata for the new table. This can be null if the catalog does not support atomic
+   *         creation for this table. Spark will call {@link #loadTable(Identifier)} later.
    * @throws TableAlreadyExistsException If a table or view already exists for the identifier
    * @throws UnsupportedOperationException If a requested partition transform is not supported
    * @throws NoSuchNamespaceException If the identifier namespace does not exist (optional)
@@ -128,7 +129,8 @@ StagedTable stageReplace(
    * @param columns the columns of the new table
    * @param partitions transforms to use for partitioning data in the table
    * @param properties a string map of table properties
-   * @return metadata for the new table
+   * @return metadata for the new table. This can be null if the catalog does not support atomic
+   *         creation for this table. Spark will call {@link #loadTable(Identifier)} later.
    * @throws UnsupportedOperationException If a requested partition transform is not supported
    * @throws NoSuchNamespaceException If the identifier namespace does not exist (optional)
    * @throws NoSuchTableException If the table does not exist
@@ -176,7 +178,8 @@ StagedTable stageCreateOrReplace(
    * @param columns the columns of the new table
    * @param partitions transforms to use for partitioning data in the table
    * @param properties a string map of table properties
-   * @return metadata for the new table
+   * @return metadata for the new table. This can be null if the catalog does not support atomic
+   *         creation for this table. Spark will call {@link #loadTable(Identifier)} later.
    * @throws UnsupportedOperationException If a requested partition transform is not supported
    * @throws NoSuchNamespaceException If the identifier namespace does not exist (optional)
    */
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
index 89c879beda825..c99e2bba2e960 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2Exec.scala
@@ -116,9 +116,10 @@ case class AtomicCreateTableAsSelectExec(
       }
       throw QueryCompilationErrors.tableAlreadyExistsError(ident)
     }
-    val stagedTable = catalog.stageCreate(
+    val stagedTable = Option(catalog.stageCreate(
       ident, getV2Columns(query.schema, catalog.useNullableQuerySchema),
       partitioning.toArray, properties.asJava)
+    ).getOrElse(catalog.loadTable(ident, Set(TableWritePrivilege.INSERT).asJava))
     writeToTable(catalog, stagedTable, writeOptions, ident, query)
   }
 }
@@ -215,7 +216,9 @@ case class AtomicReplaceTableAsSelectExec(
     } else {
       throw QueryCompilationErrors.cannotReplaceMissingTableError(ident)
     }
-    writeToTable(catalog, staged, writeOptions, ident, query)
+    val table = Option(staged).getOrElse(
+      catalog.loadTable(ident, Set(TableWritePrivilege.INSERT).asJava))
+    writeToTable(catalog, table, writeOptions, ident, query)
   }
 }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 6ae182810b8ef..cb8db49d124cb 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3509,6 +3509,19 @@ class DataSourceV2SQLSuiteV1Filter
     checkWriteOperations("read_only_cat")
   }
 
+  test("StagingTableCatalog without atomic support") {
+    withSQLConf("spark.sql.catalog.fakeStagedCat" -> classOf[FakeStagedTableCatalog].getName) {
+      withTable("fakeStagedCat.t") {
+        sql("CREATE TABLE fakeStagedCat.t AS SELECT 1 col")
+        checkAnswer(spark.table("fakeStagedCat.t"), Row(1))
+        sql("REPLACE TABLE fakeStagedCat.t AS SELECT 2 col")
+        checkAnswer(spark.table("fakeStagedCat.t"), Row(2))
+        sql("CREATE OR REPLACE TABLE fakeStagedCat.t AS SELECT 1 c1, 2 c2")
+        checkAnswer(spark.table("fakeStagedCat.t"), Row(1, 2))
+      }
+    }
+  }
+
   private def testNotSupportedV2Command(
       sqlCommand: String,
       sqlParams: String,
@@ -3601,3 +3614,62 @@ class ReadOnlyCatalog extends InMemoryCatalog {
       writePrivileges.asScala.toSeq.map(_.toString).sorted.mkString(","))
   }
 }
+
+class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
+  override def stageCreate(
+      ident: Identifier,
+      schema: StructType,
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    throw new RuntimeException("shouldn't be called")
+  }
+
+  override def stageCreate(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    super.createTable(ident, columns, partitions, properties)
+    null
+  }
+
+  override def stageReplace(
+      ident: Identifier,
+      schema: StructType,
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    throw new RuntimeException("shouldn't be called")
+  }
+
+  override def stageReplace(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    super.dropTable(ident)
+    super.createTable(ident, columns, partitions, properties)
+    null
+  }
+
+  override def stageCreateOrReplace(
+      ident: Identifier,
+      schema: StructType,
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    throw new RuntimeException("shouldn't be called")
+  }
+
+  override def stageCreateOrReplace(
+      ident: Identifier,
+      columns: Array[ColumnV2],
+      partitions: Array[Transform],
+      properties: util.Map[String, String]): StagedTable = {
+    try {
+      super.dropTable(ident)
+    } catch {
+      case _: Throwable =>
+    }
+    super.createTable(ident, columns, partitions, properties)
+    null
+  }
+}

From 870f1d8bb97c56e02135e98888b38aeae3c30de8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 25 Aug 2024 19:07:46 -0700
Subject: [PATCH 824/986] [SPARK-49381][K8S][TESTS] Fix `SPARK-41388` test case
 to assert the result

### What changes were proposed in this pull request?

This PR aims to fix a test case of SPARK-41388 by adding a missed assert.

### Why are the changes needed?

To check the result correctly.

### Does this PR introduce _any_ user-facing change?

No, this is a test case change.

### How was this patch tested?

Pass the CIs with newly added assertion.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47865 from dongjoon-hyun/SPARK-49381.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5706942bc6ac7a84fb0b6630f13a4592f1c690f0)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../cluster/k8s/ExecutorPodsAllocatorSuite.scala          | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
index 350a09f0218ba..a5b904b8cd95b 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
@@ -842,15 +842,17 @@ class ExecutorPodsAllocatorSuite extends SparkFunSuite with BeforeAndAfter {
     val getReusablePVCs =
       PrivateMethod[mutable.Buffer[PersistentVolumeClaim]](Symbol("getReusablePVCs"))
 
-    val pvc1 = persistentVolumeClaim("pvc-0", "gp2", "200Gi")
-    val pvc2 = persistentVolumeClaim("pvc-1", "gp2", "200Gi")
+    val pvc1 = persistentVolumeClaim("pvc-1", "gp2", "200Gi")
+    val pvc2 = persistentVolumeClaim("pvc-2", "gp2", "200Gi")
 
     val now = Instant.now()
     pvc1.getMetadata.setCreationTimestamp(now.minus(2 * podAllocationDelay, MILLIS).toString)
     pvc2.getMetadata.setCreationTimestamp(now.toString)
 
     when(persistentVolumeClaimList.getItems).thenReturn(Seq(pvc1, pvc2).asJava)
-    podsAllocatorUnderTest invokePrivate getReusablePVCs("appId", Seq("pvc-1"))
+    val reusablePVCs = podsAllocatorUnderTest invokePrivate getReusablePVCs("appId", Seq.empty)
+    assert(reusablePVCs.size == 1)
+    assert(reusablePVCs.head.getMetadata.getName == "pvc-1")
   }
 
   test("SPARK-41410: Support waitToReusePersistentVolumeClaims") {

From 2bc4c828e05bfd8f4ee417a6d5eff1612c0be8e5 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 25 Aug 2024 20:37:47 -0700
Subject: [PATCH 825/986] [SPARK-49385][K8S] Fix `getReusablePVCs` to use
 `podCreationTimeout` instead of `podAllocationDelay`

This PR aims to use `podCreationTimeout` instead of `podAllocationDelay` when `getReusablePVCs` excludes the newly created PVCs of previous batches.

K8s control plane pod creation can be delayed due to the unknown reasons. So, `podAllocationDelay (default: 1s)` is insufficient to say that the previous allocation batch's pods are created with their PVCs. We had better wait until `podCreationTimeout`.

This affects only the initial set of executors because the baseline is PVC's `getCreationTimestamp`. So, this fixes only a buggy situation where a PVC is shared by two executors due to the long pending executor pod.

Pass the CIs with newly updated test cases.

No.

Closes #47867 from dongjoon-hyun/SPARK-49385.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit f59607995bbd18cb881d062b65e32ff97c133107)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala   | 2 +-
 .../scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala    | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala
index 25970e918ec42..0ace14e2aaafd 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala
@@ -424,7 +424,7 @@ class ExecutorPodsAllocator(
         val reusablePVCs = createdPVCs
           .filterNot(pvc => pvcsInUse.contains(pvc.getMetadata.getName))
           .filter(pvc => now - Instant.parse(pvc.getMetadata.getCreationTimestamp).toEpochMilli
-            > podAllocationDelay)
+            > podCreationTimeout)
         logInfo(s"Found ${reusablePVCs.size} reusable PVCs from ${createdPVCs.size} PVCs")
         reusablePVCs
       } catch {
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
index a5b904b8cd95b..f202499c849e1 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocatorSuite.scala
@@ -768,7 +768,7 @@ class ExecutorPodsAllocatorSuite extends SparkFunSuite with BeforeAndAfter {
 
     val pvc = persistentVolumeClaim("pvc-0", "gp2", "200Gi")
     pvc.getMetadata
-      .setCreationTimestamp(Instant.now().minus(podAllocationDelay + 1, MILLIS).toString)
+      .setCreationTimestamp(Instant.now().minus(podCreationTimeout + 1, MILLIS).toString)
     when(persistentVolumeClaimList.getItems).thenReturn(Seq(pvc).asJava)
     when(executorBuilder.buildFromFeatures(any(classOf[KubernetesExecutorConf]), meq(secMgr),
         meq(kubernetesClient), any(classOf[ResourceProfile])))
@@ -846,7 +846,7 @@ class ExecutorPodsAllocatorSuite extends SparkFunSuite with BeforeAndAfter {
     val pvc2 = persistentVolumeClaim("pvc-2", "gp2", "200Gi")
 
     val now = Instant.now()
-    pvc1.getMetadata.setCreationTimestamp(now.minus(2 * podAllocationDelay, MILLIS).toString)
+    pvc1.getMetadata.setCreationTimestamp(now.minus(podCreationTimeout + 1, MILLIS).toString)
     pvc2.getMetadata.setCreationTimestamp(now.toString)
 
     when(persistentVolumeClaimList.getItems).thenReturn(Seq(pvc1, pvc2).asJava)

From c6f4dd70c8a4503680e88a05d0e09e78bcc65dda Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 25 Aug 2024 22:14:15 -0700
Subject: [PATCH 826/986] [SPARK-49359][TESTS][FOLLOWUP][3.5] Fix compilation
 to rename `util.Map` to `jutil.Map`

### What changes were proposed in this pull request?

This PR is a follow-up of the following and aims to fix compilation failures of `branch-3.5` by renaming `util.Map` to `jutil.Map`
- https://github.com/apache/spark/pull/47848

### Why are the changes needed?

To recover the compilation on branch-3.5.
- https://github.com/apache/spark/actions/runs/10544835250/job/29214315896

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47868 from dongjoon-hyun/SPARK-49359.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/sql/connector/DataSourceV2SQLSuite.scala   | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index cb8db49d124cb..d55f7879262fc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -3620,7 +3620,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       schema: StructType,
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     throw new RuntimeException("shouldn't be called")
   }
 
@@ -3628,7 +3628,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       columns: Array[ColumnV2],
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     super.createTable(ident, columns, partitions, properties)
     null
   }
@@ -3637,7 +3637,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       schema: StructType,
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     throw new RuntimeException("shouldn't be called")
   }
 
@@ -3645,7 +3645,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       columns: Array[ColumnV2],
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     super.dropTable(ident)
     super.createTable(ident, columns, partitions, properties)
     null
@@ -3655,7 +3655,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       schema: StructType,
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     throw new RuntimeException("shouldn't be called")
   }
 
@@ -3663,7 +3663,7 @@ class FakeStagedTableCatalog extends InMemoryCatalog with StagingTableCatalog {
       ident: Identifier,
       columns: Array[ColumnV2],
       partitions: Array[Transform],
-      properties: util.Map[String, String]): StagedTable = {
+      properties: jutil.Map[String, String]): StagedTable = {
     try {
       super.dropTable(ident)
     } catch {

From c9791279d60c5e3bb924c0fe19058eb1e358d1bd Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 14:51:02 +0900
Subject: [PATCH 827/986] [SPARK-49402][PYTHON] Fix Binder integration in
 PySpark documentation
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR proposes to fix Binder integration by using `Dockerfile` directly.

Binder integration is broken now (https://mybinder.org/v2/gh/apache/spark/bb7846dd487?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_df.ipynb):

![Screenshot 2024-08-27 at 2 04 35 PM](https://github.com/user-attachments/assets/29222fc2-7cc6-43fa-8e04-a65c8384c4d5)

This seems to be related to the size of the repository (https://github.com/jupyterhub/mybinder.org-deploy/issues/3074).

I tried all the ways out but could not find the way except using `Dockerfile`.

Yes. This should recover the Binder integration.

Manually tested within my fork:

https://mybinder.org/v2/gh/HyukjinKwon/spark/binder-test1?filepath=python%2Fdocs%2Fsource%2Fgetting_started%2Fquickstart_df.ipynb

No.

Closes #47883 from HyukjinKwon/binder-test1.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05224d2b4207885a1d4f822fed6db0cb1a1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 43 +++++++++++++++++++++++++++++++++++++++++++
 binder/apt.txt    |  2 --
 binder/postBuild  |  2 +-
 3 files changed, 44 insertions(+), 3 deletions(-)
 create mode 100644 binder/Dockerfile
 delete mode 100644 binder/apt.txt
 mode change 100644 => 100755 binder/postBuild

diff --git a/binder/Dockerfile b/binder/Dockerfile
new file mode 100644
index 0000000000000..a0af7312ef4ff
--- /dev/null
+++ b/binder/Dockerfile
@@ -0,0 +1,43 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+FROM python:3.10-slim
+# install the notebook package
+RUN  pip install --no-cache notebook jupyterlab
+
+# create user with a home directory
+ARG NB_USER
+ARG NB_UID
+ENV USER ${NB_USER}
+ENV HOME /home/${NB_USER}
+
+RUN adduser --disabled-password \
+    --gecos "Default user" \
+    --uid ${NB_UID} \
+    ${NB_USER}
+WORKDIR ${HOME}
+USER ${USER}
+
+# Make sure the contents of our repo are in ${HOME}
+COPY . ${HOME}
+USER root
+RUN chown -R ${NB_UID} ${HOME}
+RUN apt-get update && apt-get install -y openjdk-8-jre git coreutils
+USER ${NB_USER}
+
+RUN binder/postBuild
+
diff --git a/binder/apt.txt b/binder/apt.txt
deleted file mode 100644
index 3d86667d4b910..0000000000000
--- a/binder/apt.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-openjdk-8-jre
-git
diff --git a/binder/postBuild b/binder/postBuild
old mode 100644
new mode 100755
index fec233f8c8ce9..801f0a4c27633
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -26,7 +26,7 @@ set -o pipefail
 set -e
 
 VERSION=$(python -c "exec(open('python/pyspark/version.py').read()); print(__version__)")
-TAG=$(git describe --tags --exact-match 2>/dev/null)
+TAG=$(git describe --tags --exact-match 2> /dev/null || true)
 
 # If a commit is tagged, exactly specified version of pyspark should be installed to avoid
 # a kind of accident that an old version of pyspark is installed in the live notebook environment.

From ddc99bc98f361a5045117466a822ddf23f3f0e51 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 17:12:17 +0900
Subject: [PATCH 828/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 11

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index a0af7312ef4ff..6eb8c7c048820 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -36,7 +36,7 @@ USER ${USER}
 COPY . ${HOME}
 USER root
 RUN chown -R ${NB_UID} ${HOME}
-RUN apt-get update && apt-get install -y openjdk-8-jre git coreutils
+RUN apt-get update && apt-get install -y openjdk-11-jre git coreutils
 USER ${NB_USER}
 
 RUN binder/postBuild

From 2192437fdafbdb2dfcadfc178ce832194451a455 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 17:22:53 +0900
Subject: [PATCH 829/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to add a repository for JDK

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index 6eb8c7c048820..b91ca1dce0d92 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -36,6 +36,7 @@ USER ${USER}
 COPY . ${HOME}
 USER root
 RUN chown -R ${NB_UID} ${HOME}
+RUN add-apt-repository ppa:openjdk-r/ppa
 RUN apt-get update && apt-get install -y openjdk-11-jre git coreutils
 USER ${NB_USER}
 

From ff83dd9e45a228124704d869e29e1579dfae2e94 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 17:36:47 +0900
Subject: [PATCH 830/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 11

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index b91ca1dce0d92..ac6a77b8cda06 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -36,8 +36,23 @@ USER ${USER}
 COPY . ${HOME}
 USER root
 RUN chown -R ${NB_UID} ${HOME}
-RUN add-apt-repository ppa:openjdk-r/ppa
-RUN apt-get update && apt-get install -y openjdk-11-jre git coreutils
+
+# To solve add-apt-repository : command not found
+RUN apt-get -y install software-properties-common
+
+# Install Java
+RUN \
+  echo oracle-java8-installer shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+  add-apt-repository -y ppa:webupd8team/java && \
+  apt-get update && \
+  apt-get install -y oracle-java8-installer --allow-unauthenticated && \
+  rm -rf /var/lib/apt/lists/* && \
+  rm -rf /var/cache/oracle-jdk8-installer
+
+# Define commonly used JAVA_HOME variable
+ENV JAVA_HOME /usr/lib/jvm/java-8-oracle
+
+RUN apt-get update && apt-get install -y git coreutils
 USER ${NB_USER}
 
 RUN binder/postBuild

From 315d98758ae5235900a97322e91754cf1d0eeed5 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 17:43:14 +0900
Subject: [PATCH 831/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 11

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index ac6a77b8cda06..87a69fef69ce8 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -38,7 +38,7 @@ USER root
 RUN chown -R ${NB_UID} ${HOME}
 
 # To solve add-apt-repository : command not found
-RUN apt-get -y install software-properties-common
+RUN apt-get update && apt-get -y install software-properties-common
 
 # Install Java
 RUN \

From 39f760c1948134809ab19f772ebee3c3c3490e29 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 17:55:00 +0900
Subject: [PATCH 832/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 11

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 18 +++---------------
 1 file changed, 3 insertions(+), 15 deletions(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index 87a69fef69ce8..daa9d2d76c393 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -38,21 +38,9 @@ USER root
 RUN chown -R ${NB_UID} ${HOME}
 
 # To solve add-apt-repository : command not found
-RUN apt-get update && apt-get -y install software-properties-common
-
-# Install Java
-RUN \
-  echo oracle-java8-installer shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-  add-apt-repository -y ppa:webupd8team/java && \
-  apt-get update && \
-  apt-get install -y oracle-java8-installer --allow-unauthenticated && \
-  rm -rf /var/lib/apt/lists/* && \
-  rm -rf /var/cache/oracle-jdk8-installer
-
-# Define commonly used JAVA_HOME variable
-ENV JAVA_HOME /usr/lib/jvm/java-8-oracle
-
-RUN apt-get update && apt-get install -y git coreutils
+RUN apt-get update && apt-get install -y software-properties-common
+RUN add-apt-repository ppa:openjdk-r/ppa
+RUN apt-get update && apt-get install -y openjdk-8-jre git coreutils
 USER ${NB_USER}
 
 RUN binder/postBuild

From 51bfb88d1453472c9568c1ea72f505cf71e41bf7 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 18:07:05 +0900
Subject: [PATCH 833/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 11

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index daa9d2d76c393..794eb7f0d2e92 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -38,7 +38,7 @@ USER root
 RUN chown -R ${NB_UID} ${HOME}
 
 # To solve add-apt-repository : command not found
-RUN apt-get update && apt-get install -y software-properties-common
+RUN apt-get update && apt-get install -y software-properties-common python3-launchpadlib
 RUN add-apt-repository ppa:openjdk-r/ppa
 RUN apt-get update && apt-get install -y openjdk-8-jre git coreutils
 USER ${NB_USER}

From e5a5d199ba6438d4243a9440b975b083f39871d7 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 18:29:37 +0900
Subject: [PATCH 834/986] [SPARK-49402][PYTHON][FOLLOW-UP] Fix Binder
 integration in PySpark documentation

Followup PR to change JRE version from 8 to 17

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/binder/Dockerfile b/binder/Dockerfile
index 794eb7f0d2e92..6e3dd9155fb7a 100644
--- a/binder/Dockerfile
+++ b/binder/Dockerfile
@@ -36,11 +36,7 @@ USER ${USER}
 COPY . ${HOME}
 USER root
 RUN chown -R ${NB_UID} ${HOME}
-
-# To solve add-apt-repository : command not found
-RUN apt-get update && apt-get install -y software-properties-common python3-launchpadlib
-RUN add-apt-repository ppa:openjdk-r/ppa
-RUN apt-get update && apt-get install -y openjdk-8-jre git coreutils
+RUN apt-get update && apt-get install -y openjdk-17-jre git coreutils
 USER ${NB_USER}
 
 RUN binder/postBuild

From 93fedc549d82aab70517c1d5dfe9d96b5e20db6e Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 27 Aug 2024 18:59:53 +0900
Subject: [PATCH 835/986] [SPARK-49402][PYTHON][FOLLOW-UP] Set upperfound for
 NumPy

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 9fc1e05)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 binder/postBuild | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/binder/postBuild b/binder/postBuild
index 801f0a4c27633..c17816d4a5009 100755
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -38,9 +38,9 @@ else
 fi
 
 if [[ ! $VERSION < "3.4.0" ]]; then
-  pip install plotly "pandas<2.0.0" "pyspark[sql,ml,mllib,pandas_on_spark,connect]$SPECIFIER$VERSION"
+  pip install plotly "pandas<2.0.0" "numpy>=1.15,<2" "pyspark[sql,ml,mllib,pandas_on_spark,connect]$SPECIFIER$VERSION"
 else
-  pip install plotly "pandas<2.0.0" "pyspark[sql,ml,mllib,pandas_on_spark]$SPECIFIER$VERSION"
+  pip install plotly "pandas<2.0.0" "numpy>=1.15,<2" "pyspark[sql,ml,mllib,pandas_on_spark]$SPECIFIER$VERSION"
 fi
 
 # Set 'PYARROW_IGNORE_TIMEZONE' to surpress warnings from PyArrow.

From dcfefd07244068af2d24de02e5bde37047644d88 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 28 Aug 2024 12:25:24 +0900
Subject: [PATCH 836/986] [SPARK-49402][PYTHON][FOLLOW-UP] Manually load
 ~/.profile in Spark Connect notebook

This is a followup of https://github.com/apache/spark/pull/47883 that adds manual `source ~/.profile`.

Ever since we switched to `Dockerfile`, none of `./profile`, `/.bashrc`, `./bash_profile`, etc seems working. There are a couple of related issues in Jupyter but I cannot figure it out.

This is the only cell it needs the environment variable so decided to simply work around.

No.

Manually tested.

No.

Closes #47902 from HyukjinKwon/SPARK-49402-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 1c9cde59ba65dc4444cbb85471965e21d1e1e253)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit df07aa717cfe9835ba668954ef12bdcc61c1559e)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/docs/source/getting_started/quickstart_connect.ipynb | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/python/docs/source/getting_started/quickstart_connect.ipynb b/python/docs/source/getting_started/quickstart_connect.ipynb
index 15a2ab749d2a6..0397a0ebf5071 100644
--- a/python/docs/source/getting_started/quickstart_connect.ipynb
+++ b/python/docs/source/getting_started/quickstart_connect.ipynb
@@ -28,7 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!$HOME/sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:$SPARK_VERSION"
+    "%%bash\n",
+    "source ~/.profile # Make sure environment variables are loaded.\n",
+    "$HOME/sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:$SPARK_VERSION"
    ]
   },
   {

From 2ad11b632e072f47b84793a6cbaeb06c984b0e35 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 29 Aug 2024 12:27:41 +0800
Subject: [PATCH 837/986] [SPARK-46037][SQL] Correctness fix for Shuffled Hash
 Join build left without codegen

This is a re-submitting of https://github.com/apache/spark/pull/43938 to fix a join correctness bug caused by https://github.com/apache/spark/pull/41398 . Credits go to mcdull-zhang

correctness fix

Yes, the query result will be corrected.

new test

no

Closes #47905 from cloud-fan/join.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit af5e0a267e5a37adc25bdf9c78b6fe207ef7bfb5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/execution/joins/HashJoin.scala  |  5 ++---
 .../sql/execution/joins/OuterJoinSuite.scala  | 22 +++++++++++++++++--
 2 files changed, 22 insertions(+), 5 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashJoin.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashJoin.scala
index 7c48baf99ef83..07f7915416c1c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashJoin.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashJoin.scala
@@ -138,9 +138,8 @@ trait HashJoin extends JoinCodegenSupport {
     UnsafeProjection.create(streamedBoundKeys)
 
   @transient protected[this] lazy val boundCondition = if (condition.isDefined) {
-    if (joinType == FullOuter && buildSide == BuildLeft) {
-      // Put join left side before right side. This is to be consistent with
-      // `ShuffledHashJoinExec.fullOuterJoin`.
+    if ((joinType == FullOuter || joinType == LeftOuter) && buildSide == BuildLeft) {
+      // Put join left side before right side.
       Predicate.create(condition.get, buildPlan.output ++ streamedPlan.output).eval _
     } else {
       Predicate.create(condition.get, streamedPlan.output ++ buildPlan.output).eval _
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/joins/OuterJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/joins/OuterJoinSuite.scala
index 4f78833abdb9f..a4a3d76db313a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/joins/OuterJoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/joins/OuterJoinSuite.scala
@@ -26,10 +26,11 @@ import org.apache.spark.sql.catalyst.plans.logical.{Join, JoinHint}
 import org.apache.spark.sql.execution.{SparkPlan, SparkPlanTest}
 import org.apache.spark.sql.execution.exchange.EnsureRequirements
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.test.{SharedSparkSession, SQLTestData}
 import org.apache.spark.sql.types.{DoubleType, IntegerType, StructType}
 
-class OuterJoinSuite extends SparkPlanTest with SharedSparkSession {
+class OuterJoinSuite extends SparkPlanTest with SharedSparkSession with SQLTestData {
+  setupTestData()
 
   private val EnsureRequirements = new EnsureRequirements()
 
@@ -325,4 +326,21 @@ class OuterJoinSuite extends SparkPlanTest with SharedSparkSession {
       (null, null, 7, 7.0)
     )
   )
+
+  testWithWholeStageCodegenOnAndOff(
+    "SPARK-46037: ShuffledHashJoin build left with left outer join, codegen off") { _ =>
+    def join(hint: String): DataFrame = {
+      sql(
+        s"""
+          |SELECT /*+ $hint */ *
+          |FROM testData t1
+          |LEFT OUTER JOIN
+          |testData2 t2
+          |ON key = a AND concat(value, b) = '12'
+          |""".stripMargin)
+    }
+    val df1 = join("SHUFFLE_HASH(t1)")
+    val df2 = join("SHUFFLE_MERGE(t1)")
+    checkAnswer(df1, identity, df2.collect().toSeq)
+  }
 }

From dce7c9aa94eadbeafb7bb1fc770991d5ec8d0b84 Mon Sep 17 00:00:00 2001
From: zhangliang <zhangliang@trip.com>
Date: Fri, 30 Aug 2024 11:09:46 +0800
Subject: [PATCH 838/986] [SPARK-43242][CORE][3.5] Fix throw 'Unexpected type
 of BlockId' in shuffle corruption diagnose

#### What changes were proposed in this pull request?
port to 3.5 for [[SPARK-43242](https://issues.apache.org/jira/browse/SPARK-43242)][CORE] Fix throw 'Unexpected type of BlockId' in shuffle corruption diagnose

#### Why are the changes needed?
3.5 conflict with PR in master, see end of discussion https://github.com/apache/spark/pull/40921

#### Does this PR introduce any user-facing change?
No

#### How was this patch tested?
Existing tests

Closes #47910 from CavemanIV/port3.5-SPARK-43242.

Authored-by: zhangliang <zhangliang@trip.com>
Signed-off-by: Yi Wu <yi.wu@databricks.com>
---
 .../storage/ShuffleBlockFetcherIterator.scala |  6 +++++
 .../ShuffleBlockFetcherIteratorSuite.scala    | 27 +++++++++++++++++++
 2 files changed, 33 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
index b9365f45a11ae..17407f4ee21f5 100644
--- a/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockFetcherIterator.scala
@@ -1142,6 +1142,12 @@ final class ShuffleBlockFetcherIterator(
           s"diagnosis is skipped due to lack of shuffle checksum support for push-based shuffle."
         logWarning(diagnosisResponse)
         diagnosisResponse
+      case shuffleBlockBatch: ShuffleBlockBatchId =>
+          val diagnosisResponse = s"BlockBatch $shuffleBlockBatch is corrupted " +
+          s"but corruption diagnosis is skipped due to lack of shuffle checksum support for " +
+          s"ShuffleBlockBatchId"
+        logWarning(diagnosisResponse)
+        diagnosisResponse
       case unexpected: BlockId =>
         throw SparkException.internalError(
           s"Unexpected type of BlockId, $unexpected", category = "STORAGE")
diff --git a/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala b/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
index f2d5f27a66cce..a9902cb4ccb4c 100644
--- a/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/ShuffleBlockFetcherIteratorSuite.scala
@@ -1941,4 +1941,31 @@ class ShuffleBlockFetcherIteratorSuite extends SparkFunSuite with PrivateMethodT
 
     assert(err2.getMessage.contains("corrupt at reset"))
   }
+
+  test("SPARK-43242: Fix throw 'Unexpected type of BlockId' in shuffle corruption diagnose") {
+    val remoteBmId = BlockManagerId("test-client-1", "test-client-1", 2)
+    val blocks = Map[BlockId, ManagedBuffer](
+      ShuffleBlockBatchId(0, 0, 0, 3) -> createMockManagedBuffer())
+    answerFetchBlocks { invocation =>
+      val listener = invocation.getArgument[BlockFetchingListener](4)
+      listener.onBlockFetchSuccess(ShuffleBlockBatchId(0, 0, 0, 3).toString, mockCorruptBuffer())
+    }
+
+    val logAppender = new LogAppender("diagnose corruption")
+    withLogAppender(logAppender) {
+      val iterator = createShuffleBlockIteratorWithDefaults(
+        Map(remoteBmId -> toBlockList(blocks.keys, 1L, 0)),
+        streamWrapperLimitSize = Some(100)
+      )
+      intercept[FetchFailedException](iterator.next())
+      verify(transfer, times(2))
+        .fetchBlocks(any(), any(), any(), any(), any(), any())
+      assert(logAppender.loggingEvents.count(
+        _.getMessage.getFormattedMessage.contains("Start corruption diagnosis")) === 1)
+      assert(logAppender.loggingEvents.exists(
+        _.getMessage.getFormattedMessage.contains("shuffle_0_0_0_3 is corrupted " +
+          "but corruption diagnosis is skipped due to lack of " +
+          "shuffle checksum support for ShuffleBlockBatchId")))
+    }
+  }
 }

From 30a75d13d681a24f705ec88ec03daccc1257714c Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Fri, 30 Aug 2024 18:01:59 +0800
Subject: [PATCH 839/986] [MINOR] Add `artifacts` to `.gitignore`
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Add `artifacts` to `.gitignore`

### Why are the changes needed?
```
bin/spark-shell --remote "local[*]"
```

generates a lot of files in it
```
(spark_dev_312) ➜  spark git:(master) ✗ git status
On branch master
Your branch is ahead of 'origin/master' by 1386 commits.
  (use "git push" to publish your local commits)

Changes to be committed:
  (use "git restore --staged <file>..." to unstage)
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd0$.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd0$Helper.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd0.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd1$.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd1$Helper.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd1.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd2$.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd2$Helper.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd2.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd9999999$.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/85157252-6f8a-46b3-ab42-585c70184d08/classes/ammonite/$sess/cmd9999999$Helper.class
	new file:   artifacts/spark-37fc351b-0207-4957-ac39-5b23ae672c0c/8515
```

### Does this PR introduce _any_ user-facing change?
No, dev only

### How was this patch tested?
manually check

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47936 from zhengruifeng/infra_artifacts.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit df4256836d719ddca87629b8701784bd8140d84e)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index ca22dd7845281..06c6660900d66 100644
--- a/.gitignore
+++ b/.gitignore
@@ -26,6 +26,7 @@
 .scala_dependencies
 .settings
 .vscode
+artifacts/
 /lib/
 R-unit-tests.log
 R/unit-tests.out

From d5caaaa3437b29ae7d2253b4c4a05f4b87952eb9 Mon Sep 17 00:00:00 2001
From: Xi Chen <jshmchenxi@gmail.com>
Date: Mon, 2 Sep 2024 13:58:18 +0800
Subject: [PATCH 840/986] [SPARK-49480][CORE] Fix NullPointerException from
 `SparkThrowableHelper.isInternalError`

### What changes were proposed in this pull request?

Handle null input for `SparkThrowableHelper.isInternalError` method.

### Why are the changes needed?

The `SparkThrowableHelper.isInternalError` method doesn't handle null input, and it could lead to NullPointerException. It happens when a `SparkException` without `errorClass` is invoked `isInternalError`.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Add 2 assertions to current test cases to cover this issue.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47946 from jshmchenxi/SPARK-49480/null-pointer-is-internal-error.

Authored-by: Xi Chen <jshmchenxi@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit cef3c86e046edb43beb487e92f0542b5d8354be4)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../src/main/scala/org/apache/spark/SparkThrowableHelper.scala  | 2 +-
 core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala  | 2 ++
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala b/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
index 0f329b5655b32..2331a8e67b28e 100644
--- a/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
+++ b/common/utils/src/main/scala/org/apache/spark/SparkThrowableHelper.scala
@@ -61,7 +61,7 @@ private[spark] object SparkThrowableHelper {
   }
 
   def isInternalError(errorClass: String): Boolean = {
-    errorClass.startsWith("INTERNAL_ERROR")
+    errorClass != null && errorClass.startsWith("INTERNAL_ERROR")
   }
 
   def getMessage(e: SparkThrowable with Throwable, format: ErrorMessageFormat.Value): String = {
diff --git a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
index 299bcea3f9e23..a5f5eb21c68b3 100644
--- a/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkThrowableSuite.scala
@@ -416,6 +416,7 @@ class SparkThrowableSuite extends SparkFunSuite {
     } catch {
       case e: SparkThrowable =>
         assert(e.getErrorClass == null)
+        assert(!e.isInternalError)
         assert(e.getSqlState == null)
       case _: Throwable =>
         // Should not end up here
@@ -432,6 +433,7 @@ class SparkThrowableSuite extends SparkFunSuite {
     } catch {
       case e: SparkThrowable =>
         assert(e.getErrorClass == "CANNOT_PARSE_DECIMAL")
+        assert(!e.isInternalError)
         assert(e.getSqlState == "22018")
       case _: Throwable =>
         // Should not end up here

From 38ad0e743bb4ae088ea6b2942fca1ac1e2a566f1 Mon Sep 17 00:00:00 2001
From: Adam Binford <adamq43@gmail.com>
Date: Mon, 2 Sep 2024 08:06:14 +0200
Subject: [PATCH 841/986] [SPARK-49476][SQL] Fix nullability of base64 function

### What changes were proposed in this pull request?

Fix the nullability of the `Base64` expression to be based on the child's nullability, and not always be nullable.

### Why are the changes needed?

https://github.com/apache/spark/pull/47303 had a side effect of changing the nullability by the switch to using `StaticInvoke`. This was also backported to Spark 3.5.2 and caused schema mismatch errors for stateful streams when we upgraded. This restores the previous behavior which is supported by StaticInvoke through the `returnNullable` argument. If the child is non-nullable, we know the result will be non-nullable.

### Does this PR introduce _any_ user-facing change?

Restores the nullability of the `Base64` expression to what is was in Spark 3.5.1 and earlier.

### How was this patch tested?

New UT

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47941 from Kimahriman/base64-nullability.

Lead-authored-by: Adam Binford <adamq43@gmail.com>
Co-authored-by: Maxim Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit c274c5a1aecd7a03c98e523152ef73fb9afb7b3a)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../spark/sql/catalyst/expressions/stringExpressions.scala | 3 ++-
 .../sql/catalyst/expressions/StringExpressionsSuite.scala  | 7 +++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
index 98a3b71a28627..0da6d171a1dd4 100755
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
@@ -2432,7 +2432,8 @@ case class Base64(child: Expression, chunkBase64: Boolean)
     dataType,
     "encode",
     Seq(child, Literal(chunkBase64, BooleanType)),
-    Seq(BinaryType, BooleanType))
+    Seq(BinaryType, BooleanType),
+    returnNullable = false)
 
   override def toString: String = s"$prettyName($child)"
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
index c172688383688..53a76e2cb9ff1 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/StringExpressionsSuite.scala
@@ -464,6 +464,13 @@ class StringExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     val b = $"b".binary.at(0)
     val bytes = Array[Byte](1, 2, 3, 4)
 
+    assert(!Base64(Literal(bytes)).nullable)
+    assert(Base64(Literal.create(null, BinaryType)).nullable)
+    assert(Base64(Literal(bytes).castNullable()).nullable)
+    assert(!UnBase64(Literal("AQIDBA==")).nullable)
+    assert(UnBase64(Literal.create(null, StringType)).nullable)
+    assert(UnBase64(Literal("AQIDBA==").castNullable()).nullable)
+
     checkEvaluation(Base64(Literal(bytes)), "AQIDBA==", create_row("abdef"))
     checkEvaluation(Base64(UnBase64(Literal("AQIDBA=="))), "AQIDBA==", create_row("abdef"))
     checkEvaluation(Base64(UnBase64(Literal(""))), "", create_row("abdef"))

From a1cd99de04aaa56a710c5ecfbfa1dca07a012242 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Tue, 3 Sep 2024 03:44:37 +0000
Subject: [PATCH 842/986] Preparing Spark release v3.5.3-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 2 +-
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index ed09ea1725da5..9c47b16865791 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 12b57da00234a..46f4be085728c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index e6e0a2660b45d..9704e4aeee933 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index c39d849494e9c..25c1b785961c2 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 1c0173d35139c..3c95492690393 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 58ec4e57e5158..2bf35c713923d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 5512ed8012ae2..509e067dd246a 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 159064b0444c9..8b0130e551292 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index d31f3ea7b1ac1..a402affc88229 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index b15c6dd36ba74..5380c3705f4f0 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 317e663af153f..56b66be3f7744 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6f3d683d9cb12..2d209746dc7fc 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 60c807b169699..983d4f087a686 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 81c0826bdd189..c665e009199c7 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f16f47db18876..f85820ba1454e 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 8348a32b2e238..4a0d1af7968e7 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 8db62e2020e35..b7aff2d217bc3 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 1d076d4d62f10..a1ebf137e324d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index c5ba0abd803d7..5aa937d481582 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 3ba3ce45a726d..ab48e0eeae2c6 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index a6cc9248f17a6..9fdaaa925a759 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 034f45fc2af88..e52b828bef975 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index a326e41b8e233..17004f875869c 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index b7abf37080d8d..2dfc5322b2ffa 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3-SNAPSHOT
+SPARK_VERSION: 3.5.3
 SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
diff --git a/examples/pom.xml b/examples/pom.xml
index 6648ec2cc7cb1..74f7a8562cbb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 22a8b916c4b14..8a562f6ab0a14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index fca45d2df0c35..72fb8e9ae9bef 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 75c85d66a935a..d548e91536d93 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 4e00a7b2dc9b8..8733e01ac89b9 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index b9e6e40583461..395f00c4c42f4 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 7bbdd0a998039..c005af470cc8b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3-SNAPSHOT</version>
+  <version>3.5.3</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index c779e9442f6b3..e12826098ccbf 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3.dev0"
+__version__: str = "3.5.3"
diff --git a/repl/pom.xml b/repl/pom.xml
index e8c2436f109c3..84d595c272e81 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e1ad633dff2ff..7c728c913f698 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 91fc5a94fa747..55131c524420a 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index d5d0c0125fce9..c4c20d2d0948f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 2d6f7f87247c4..eff7a72e0194b 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 818cb24cac80a..ace4be938d454 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 89cc3b9560a76..4619c7e658b87 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 199597a36349d..19e35fa5a252f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 1e4ad6f456371..e752ba0e5084f 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index ea65b59390c83..54b7fdcdcc259 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6601c459741f0..a9965c1c35724 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3f7721c9bcff5..11b52018c765e 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 0616ef23c6248cc13f8ca6e3d8845d3caa9df9f8 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Tue, 3 Sep 2024 03:44:41 +0000
Subject: [PATCH 843/986] Preparing development version 3.5.4-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 9c47b16865791..3367c1629c578 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 46f4be085728c..014ff5bbaf209 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 9704e4aeee933..ed2352fd1276e 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 25c1b785961c2..b791a06aad43a 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3c95492690393..685ada5194905 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 2bf35c713923d..b2e488c7bb222 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 509e067dd246a..3a260a8dff53f 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 8b0130e551292..fd0aa7ba2a3a2 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index a402affc88229..7c87be73d7d96 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 5380c3705f4f0..8bc2802ea5d0d 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 56b66be3f7744..87f6a589261cc 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 2d209746dc7fc..994179fd99ac8 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 983d4f087a686..801c28319ee84 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index c665e009199c7..d655d1a552814 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f85820ba1454e..ae11f0eac307d 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 4a0d1af7968e7..533a45e18f662 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b7aff2d217bc3..07ca1c2b2f3c7 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index a1ebf137e324d..176d92da63801 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5aa937d481582..a6ef06142f5cb 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ab48e0eeae2c6..4282e1f035716 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9fdaaa925a759..2af6002b5c7db 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index e52b828bef975..a46c9bbfec2cf 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 17004f875869c..d1b0e82c7c0d5 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 2dfc5322b2ffa..3dea0c82204bd 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.4-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 74f7a8562cbb0..26d91eff504f2 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 8a562f6ab0a14..c4f250b40f33d 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 72fb8e9ae9bef..a47d25015dfa9 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d548e91536d93..5c1844be5782d 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 8733e01ac89b9..bb821190273e1 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 395f00c4c42f4..202b80d38e24f 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c005af470cc8b..04acbdb3cd6e4 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3</version>
+  <version>3.5.4-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index e12826098ccbf..002d06e28ea15 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3"
+__version__: str = "3.5.4.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 84d595c272e81..5ef505bbc48e5 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 7c728c913f698..cd90f32d0814f 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 55131c524420a..b72a3daea3c38 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index c4c20d2d0948f..31377cbda5d8e 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index eff7a72e0194b..d7f3786e1050f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index ace4be938d454..038b6c16a4e88 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 4619c7e658b87..0564a6be7432a 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19e35fa5a252f..62d33dbfc2d41 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index e752ba0e5084f..5d2708dfdd714 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 54b7fdcdcc259..9a313907eb130 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index a9965c1c35724..6cbccb39772c9 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 11b52018c765e..f23f4a4b50559 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From d8adf4b3109c0e6353c8c8a300eea5cf6aa3caca Mon Sep 17 00:00:00 2001
From: Adam Binford <adamq43@gmail.com>
Date: Tue, 3 Sep 2024 11:52:14 +0800
Subject: [PATCH 844/986] [SPARK-49476][SQL][3.5][FOLLOWUP] Fix base64 proto
 test

### What changes were proposed in this pull request?

Fix a test that is failing from backporting https://github.com/apache/spark/pull/47941

### Why are the changes needed?

Fix test

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Fixed test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47964 from Kimahriman/base64-proto-test.

Authored-by: Adam Binford <adamq43@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../query-tests/explain-results/function_base64.explain         | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
index 3b4e69469c30b..27058b201c01a 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_base64.explain
@@ -1,2 +1,2 @@
-Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.Base64, StringType, encode, cast(g#0 as binary), true, BinaryType, BooleanType, true, true, true) AS base64(g)#0]
+Project [staticinvoke(class org.apache.spark.sql.catalyst.expressions.Base64, StringType, encode, cast(g#0 as binary), true, BinaryType, BooleanType, true, false, true) AS base64(g)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]

From 7febde1bf3e39b314b9d2184986b719888b8b195 Mon Sep 17 00:00:00 2001
From: Chenhao Li <chenhao.li@databricks.com>
Date: Wed, 4 Sep 2024 07:14:41 +0200
Subject: [PATCH 845/986] [SPARK-49275][SQL][3.5] Fix return type nullness of
 the xpath expression

### What changes were proposed in this pull request?

This is a cherry-pick of https://github.com/apache/spark/pull/47796.

The `xpath` expression incorrectly marks its return type as array of non-null strings. However, it can actually return an array containing nulls. This can cause NPE in code generation, such as query `select coalesce(xpath(repeat('<a></a>', id), 'a')[0], '') from range(1, 2)`.

### Why are the changes needed?

It avoids potential failures in queries that uses the `xpath` expression.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

A new unit test. It would fail without the change in the PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47959 from chenhao-db/fix_xpath_nullness_3.5.

Authored-by: Chenhao Li <chenhao.li@databricks.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../apache/spark/sql/catalyst/expressions/xml/xpath.scala    | 5 ++++-
 .../sql/catalyst/expressions/xml/XPathExpressionSuite.scala  | 5 +++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala
index 2ed13944be9af..105931cf4f803 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala
@@ -239,13 +239,16 @@ case class XPathString(xml: Expression, path: Expression) extends XPathExtract {
     Examples:
       > SELECT _FUNC_('<a><b>b1</b><b>b2</b><b>b3</b><c>c1</c><c>c2</c></a>','a/b/text()');
        ["b1","b2","b3"]
+      > SELECT _FUNC_('<a><b>b1</b><b>b2</b><b>b3</b><c>c1</c><c>c2</c></a>','a/b');
+       [null,null,null]
   """,
   since = "2.0.0",
   group = "xml_funcs")
 // scalastyle:on line.size.limit
 case class XPathList(xml: Expression, path: Expression) extends XPathExtract {
   override def prettyName: String = "xpath"
-  override def dataType: DataType = ArrayType(StringType, containsNull = false)
+
+  override def dataType: DataType = ArrayType(StringType)
 
   override def nullSafeEval(xml: Any, path: Any): Any = {
     val nodeList = xpathUtil.evalNodeList(xml.asInstanceOf[UTF8String].toString, pathString)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/xml/XPathExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/xml/XPathExpressionSuite.scala
index 8d9f90a1a87c5..b25b191f8b136 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/xml/XPathExpressionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/xml/XPathExpressionSuite.scala
@@ -185,6 +185,11 @@ class XPathExpressionSuite extends SparkFunSuite with ExpressionEvalHelper {
     testExpr("<a><b class='bb'>b1</b><b>b2</b><b>b3</b><c class='bb'>c1</c><c>c2</c></a>",
       "a/*[@class='bb']/text()", Seq("b1", "c1"))
 
+    checkEvaluation(
+      Coalesce(Seq(
+          GetArrayItem(XPathList(Literal("<a></a>"), Literal("a")), Literal(0)),
+          Literal("nul"))), "nul")
+
     testNullAndErrorBehavior(testExpr)
   }
 

From 7718777c3e57da85426378881f9ce9f6ed743a1d Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 4 Sep 2024 16:36:35 +0900
Subject: [PATCH 846/986] [MINOR][DOCS] Fix site.SPARK_VERSION pattern in RDD
 Programming Guide

Fix site.SPARK_VERSION pattern in RDD Programming Guide. I found this when I was developing #47968

doc fix

no

doc build

no

Closes #47985 from yaooqinn/version.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 90a236eefd509f6ed1ffb48b7bbb32c395d3b940)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/rdd-programming-guide.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/rdd-programming-guide.md b/docs/rdd-programming-guide.md
index cc897aea06c93..c63558cbc2426 100644
--- a/docs/rdd-programming-guide.md
+++ b/docs/rdd-programming-guide.md
@@ -46,7 +46,7 @@ Spark applications in Python can either be run with the `bin/spark-submit` scrip
 
 {% highlight python %}
     install_requires=[
-        'pyspark=={site.SPARK_VERSION}'
+        'pyspark=={{site.SPARK_VERSION}}'
     ]
 {% endhighlight %}
 

From d83bf8c9b775d52bc359d0c9a491eeeb0f0d6917 Mon Sep 17 00:00:00 2001
From: sychen <sychen@ctrip.com>
Date: Wed, 4 Sep 2024 07:50:51 -0700
Subject: [PATCH 847/986] [SPARK-49509][CORE] Use
 `Platform.allocateDirectBuffer` instead of `ByteBuffer.allocateDirect`

This PR aims to use `Platform.allocateDirectBuffer` instead of `ByteBuffer.allocateDirect`.

https://github.com/apache/spark/pull/47733#pullrequestreview-2251276385

Allocating off-heap memory should use the `allocateDirectBuffer` API provided `by Platform`.

No

GA

No

Closes #47987 from cxzl25/SPARK-49509.

Authored-by: sychen <sychen@ctrip.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 2ed6c3e511f322c5fd01953736c376a85ff2c687)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../java/org/apache/spark/io/NioBufferedFileInputStream.java   | 3 ++-
 core/src/main/scala/org/apache/spark/storage/DiskStore.scala   | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java b/core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java
index 91910b99ac999..2a580e341dc33 100644
--- a/core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java
+++ b/core/src/main/java/org/apache/spark/io/NioBufferedFileInputStream.java
@@ -14,6 +14,7 @@
 package org.apache.spark.io;
 
 import org.apache.spark.storage.StorageUtils;
+import org.apache.spark.unsafe.Platform;
 
 import java.io.File;
 import java.io.IOException;
@@ -39,7 +40,7 @@ public final class NioBufferedFileInputStream extends InputStream {
   private final FileChannel fileChannel;
 
   public NioBufferedFileInputStream(File file, int bufferSizeInBytes) throws IOException {
-    byteBuffer = ByteBuffer.allocateDirect(bufferSizeInBytes);
+    byteBuffer = Platform.allocateDirectBuffer(bufferSizeInBytes);
     fileChannel = FileChannel.open(file.toPath(), StandardOpenOption.READ);
     byteBuffer.flip();
   }
diff --git a/core/src/main/scala/org/apache/spark/storage/DiskStore.scala b/core/src/main/scala/org/apache/spark/storage/DiskStore.scala
index 1cb5adef5f460..304aa01c7ee42 100644
--- a/core/src/main/scala/org/apache/spark/storage/DiskStore.scala
+++ b/core/src/main/scala/org/apache/spark/storage/DiskStore.scala
@@ -34,6 +34,7 @@ import org.apache.spark.internal.{config, Logging}
 import org.apache.spark.network.buffer.ManagedBuffer
 import org.apache.spark.network.util.{AbstractFileRegion, JavaUtils}
 import org.apache.spark.security.CryptoStreamUtils
+import org.apache.spark.unsafe.Platform
 import org.apache.spark.unsafe.array.ByteArrayMethods
 import org.apache.spark.util.Utils
 import org.apache.spark.util.io.ChunkedByteBuffer
@@ -309,7 +310,7 @@ private class ReadableChannelFileRegion(source: ReadableByteChannel, blockSize:
 
   private var _transferred = 0L
 
-  private val buffer = ByteBuffer.allocateDirect(64 * 1024)
+  private val buffer = Platform.allocateDirectBuffer(64 * 1024)
   buffer.flip()
 
   override def count(): Long = blockSize

From e5ec16efa1784e1ba88c683d50e589a7c8affe65 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Wed, 4 Sep 2024 21:43:28 -0700
Subject: [PATCH 848/986] [SPARK-48965][SQL] Use the correct schema in
 `Dataset#toJSON`

In `Dataset#toJSON`, use the schema from `exprEnc`. This schema reflects any changes (e.g., decimal precision, column ordering) that `exprEnc` might make to input rows.

`Dataset#toJSON` currently uses the schema from the logical plan, but that schema does not necessarily describe the rows passed to `JacksonGenerator`: the function passed to `mapPartitions` uses `exprEnc` to serialize the input, and this could potentially change the precision on decimals or rearrange columns.

Here's an example that tricks `UnsafeRow#getDecimal` (called from `JacksonGenerator`) to mistakenly assume the decimal is stored as a Long:
```
scala> case class Data(a: BigDecimal)
class Data

scala> sql("select 123.456bd as a").as[Data].toJSON.collect
warning: 1 deprecation (since 2.13.3); for details, enable `:setting -deprecation` or `:replay -deprecation`
val res0: Array[String] = Array({"a":68719476.745})

scala>
```
Here's an example that tricks `JacksonGenerator` to ask for a string from an array and an array from a string. This case actually crashes the JVM:
```
scala> case class Data(x: Array[Int], y: String)
class Data

scala> sql("select repeat('Hey there', 17) as y, array_repeat(22, 17) as x").as[Data].toJSON.collect
warning: 1 deprecation (since 2.13.3); for details, enable `:setting -deprecation` or `:replay -deprecation`
Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.InternalError: a fault occurred in a recent unsafe memory access operation in compiled Java code
	at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$makeWriter$5(JacksonGenerator.scala:129) ~[spark-catalyst_2.13-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
	at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$makeWriter$5$adapted(JacksonGenerator.scala:128) ~[spark-catalyst_2.13-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
	at org.apache.spark.sql.catalyst.json.JacksonGenerator.writeArrayData(JacksonGenerator.scala:258) ~[spark-catalyst_2.13-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
	at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$makeWriter$23(JacksonGenerator.scala:201) ~[spark-catalyst_2.13-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
	at org.apache.spark.sql.catalyst.json.JacksonGenerator.writeArray(JacksonGenerator.scala:249) ~[spark-catalyst_2.13-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
...
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.base/java.lang.Thread.run(Thread.java:833)

bash-3.2$
```
Both these cases work correctly without `toJSON`.

Before the PR, converting the dataframe to a dataset of Tuple would preserve the column names in the JSON strings:
```
scala> sql("select 123.456d as a, 12 as b").as[(Double, Int)].toJSON.collect
warning: 1 deprecation (since 2.13.3); for details, enable `:setting -deprecation` or `:replay -deprecation`
val res0: Array[String] = Array({"a":123.456,"b":12})

scala>
```
After the PR, the JSON strings use the field name from the Tuple class:
```
scala> sql("select 123.456d as a, 12 as b").as[(Double, Int)].toJSON.collect
warning: 1 deprecation (since 2.13.3); for details, enable `:setting -deprecation` or `:replay -deprecation`
val res1: Array[String] = Array({"_1":123.456,"_2":12})

scala>
```

New tests.

No.

Closes #47982 from bersprockets/to_json_issue.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5375ce2acfe206eb64fb8bede44fe47c643fcd46)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../scala/org/apache/spark/sql/Dataset.scala  |  3 +-
 .../datasources/json/JsonSuite.scala          | 29 +++++++++++++++++++
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index 9ef48c2ec42ea..a65aff4b228ac 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -4036,13 +4036,12 @@ class Dataset[T] private[sql](
     new DataStreamWriter[T](this)
   }
 
-
   /**
    * Returns the content of the Dataset as a Dataset of JSON strings.
    * @since 2.0.0
    */
   def toJSON: Dataset[String] = {
-    val rowSchema = this.schema
+    val rowSchema = exprEnc.schema
     val sessionLocalTimeZone = sparkSession.sessionState.conf.sessionLocalTimeZone
     mapPartitions { iter =>
       val writer = new CharArrayWriter()
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
index e8005b2041919..3bb193cb8f10b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
@@ -41,6 +41,7 @@ import org.apache.spark.sql.execution.datasources.{CommonFileDataSourceSuite, Da
 import org.apache.spark.sql.execution.datasources.v2.json.JsonScanBuilder
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.test.SQLTestData.{DecimalData, TestData}
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.StructType.fromDDL
 import org.apache.spark.sql.types.TestUDT.{MyDenseVector, MyDenseVectorUDT}
@@ -3698,6 +3699,34 @@ abstract class JsonSuite
       }
     }
   }
+
+  test("SPARK-48965: Dataset#toJSON should use correct schema #1: decimals") {
+    val numString = "123.456"
+    val bd = BigDecimal(numString)
+    val ds1 = sql(s"select ${numString}bd as a, ${numString}bd as b").as[DecimalData]
+    checkDataset(
+      ds1,
+      DecimalData(bd, bd)
+    )
+    val ds2 = ds1.toJSON
+    checkDataset(
+      ds2,
+      "{\"a\":123.456000000000000000,\"b\":123.456000000000000000}"
+    )
+  }
+
+  test("SPARK-48965: Dataset#toJSON should use correct schema #2: misaligned columns") {
+    val ds1 = sql("select 'Hey there' as value, 90000001 as key").as[TestData]
+    checkDataset(
+      ds1,
+      TestData(90000001, "Hey there")
+    )
+    val ds2 = ds1.toJSON
+    checkDataset(
+      ds2,
+      "{\"key\":90000001,\"value\":\"Hey there\"}"
+    )
+  }
 }
 
 class JsonV1Suite extends JsonSuite {

From 8fbeaf5dd7ba91151df6d15d115fb215ef19e545 Mon Sep 17 00:00:00 2001
From: wzx <masterwangzx@gmail.com>
Date: Thu, 5 Sep 2024 14:58:15 +0800
Subject: [PATCH 849/986] [SPARK-49408][SQL] Use IndexedSeq in
 ProjectingInternalRow

### What changes were proposed in this pull request?
In ProjectingInternalRow, accessing colOrdinals causes poor performace. Replace colOrdinals with the IndexedSeq type.

### Why are the changes needed?
Replace colOrdinals with the IndexedSeq type.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No need to add UT

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #47890 from wzx140/project-row-fix.

Lead-authored-by: wzx <masterwangzx@gmail.com>
Co-authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 37f2fa99c31d7563f4020557fc50b74d7cb758bc)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../spark/sql/catalyst/ProjectingInternalRow.scala       | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ProjectingInternalRow.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ProjectingInternalRow.scala
index 429ce805bf2c4..75573cb72d839 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ProjectingInternalRow.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ProjectingInternalRow.scala
@@ -25,7 +25,8 @@ import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
  * An [[InternalRow]] that projects particular columns from another [[InternalRow]] without copying
  * the underlying data.
  */
-case class ProjectingInternalRow(schema: StructType, colOrdinals: Seq[Int]) extends InternalRow {
+case class ProjectingInternalRow(schema: StructType,
+    colOrdinals: IndexedSeq[Int]) extends InternalRow {
   assert(schema.size == colOrdinals.size)
 
   private var row: InternalRow = _
@@ -115,3 +116,9 @@ case class ProjectingInternalRow(schema: StructType, colOrdinals: Seq[Int]) exte
     row.get(colOrdinals(ordinal), dataType)
   }
 }
+
+object ProjectingInternalRow {
+  def apply(schema: StructType, colOrdinals: Seq[Int]): ProjectingInternalRow = {
+    new ProjectingInternalRow(schema, colOrdinals.toIndexedSeq)
+  }
+}

From d8f9d8d22eb6ac55b6505782a6a51d1b201a04a3 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 5 Sep 2024 21:02:20 +0800
Subject: [PATCH 850/986] [SPARK-49152][SQL][FOLLOWUP]
 DelegatingCatalogExtension should also use V1 commands

### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/47660 . If users override `spark_catalog` with
`DelegatingCatalogExtension`, we should still use v1 commands as `DelegatingCatalogExtension` forwards requests to HMS and there are still behavior differences between v1 and v2 commands targeting HMS.

This PR also forces to use v1 commands for certain commands that do not have a v2 version.

### Why are the changes needed?

Avoid introducing behavior changes to Spark plugins that implements `DelegatingCatalogExtension` to override `spark_catalog`.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

new test case

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47995 from amaliujia/fix_catalog_v2.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Rui Wang <rui.wang@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f7cfeb534d9285df381d147e01de47ec439c082e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveSessionCatalog.scala      | 41 ++++++++++++++-----
 .../DataSourceV2SQLSessionCatalogSuite.scala  |  8 ++++
 .../sql/connector/DataSourceV2SQLSuite.scala  | 16 ++++++--
 3 files changed, 51 insertions(+), 14 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index c96ce2daa49e3..7500f32ac2b90 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, toPrettySQL, ResolveDefaultColumns => DefaultCols}
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Util, LookupCatalog, SupportsNamespaces, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Util, DelegatingCatalogExtension, LookupCatalog, SupportsNamespaces, V1Table}
 import org.apache.spark.sql.connector.expressions.Transform
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.execution.command._
@@ -271,10 +271,20 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     case AnalyzeColumn(ResolvedV1TableOrViewIdentifier(ident), columnNames, allColumns) =>
       AnalyzeColumnCommand(ident, columnNames, allColumns)
 
-    case RepairTable(ResolvedV1TableIdentifier(ident), addPartitions, dropPartitions) =>
+    // V2 catalog doesn't support REPAIR TABLE yet, we must use v1 command here.
+    case RepairTable(
+        ResolvedV1TableIdentifierInSessionCatalog(ident),
+        addPartitions,
+        dropPartitions) =>
       RepairTableCommand(ident, addPartitions, dropPartitions)
 
-    case LoadData(ResolvedV1TableIdentifier(ident), path, isLocal, isOverwrite, partition) =>
+    // V2 catalog doesn't support LOAD DATA yet, we must use v1 command here.
+    case LoadData(
+        ResolvedV1TableIdentifierInSessionCatalog(ident),
+        path,
+        isLocal,
+        isOverwrite,
+        partition) =>
       LoadDataCommand(
         ident,
         path,
@@ -322,7 +332,8 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
       }
       ShowColumnsCommand(db, v1TableName, output)
 
-    case RecoverPartitions(ResolvedV1TableIdentifier(ident)) =>
+    // V2 catalog doesn't support RECOVER PARTITIONS yet, we must use v1 command here.
+    case RecoverPartitions(ResolvedV1TableIdentifierInSessionCatalog(ident)) =>
       RepairTableCommand(
         ident,
         enableAddPartitions = true,
@@ -350,8 +361,9 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
         purge,
         retainData = false)
 
+    // V2 catalog doesn't support setting serde properties yet, we must use v1 command here.
     case SetTableSerDeProperties(
-        ResolvedV1TableIdentifier(ident),
+        ResolvedV1TableIdentifierInSessionCatalog(ident),
         serdeClassName,
         serdeProperties,
         partitionSpec) =>
@@ -366,10 +378,10 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
 
     // V2 catalog doesn't support setting partition location yet, we must use v1 command here.
     case SetTableLocation(
-        ResolvedTable(catalog, _, t: V1Table, _),
+        ResolvedV1TableIdentifierInSessionCatalog(ident),
         Some(partitionSpec),
-        location) if isSessionCatalog(catalog) =>
-      AlterTableSetLocationCommand(t.v1Table.identifier, Some(partitionSpec), location)
+        location) =>
+      AlterTableSetLocationCommand(ident, Some(partitionSpec), location)
 
     case AlterViewAs(ResolvedViewIdentifier(ident), originalText, query) =>
       AlterViewAsCommand(ident, originalText, query)
@@ -579,6 +591,14 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
     }
   }
 
+  object ResolvedV1TableIdentifierInSessionCatalog {
+    def unapply(resolved: LogicalPlan): Option[TableIdentifier] = resolved match {
+      case ResolvedTable(catalog, _, t: V1Table, _) if isSessionCatalog(catalog) =>
+        Some(t.catalogTable.identifier)
+      case _ => None
+    }
+  }
+
   object ResolvedV1TableOrViewIdentifier {
     def unapply(resolved: LogicalPlan): Option[TableIdentifier] = resolved match {
       case ResolvedV1TableIdentifier(ident) => Some(ident)
@@ -669,7 +689,8 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
   }
 
   private def supportsV1Command(catalog: CatalogPlugin): Boolean = {
-    isSessionCatalog(catalog) &&
-      SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isEmpty
+    isSessionCatalog(catalog) && (
+      SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isEmpty ||
+        catalog.isInstanceOf[DelegatingCatalogExtension])
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSessionCatalogSuite.scala
index 95624f3f61c5c..7463eb34d17ff 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSessionCatalogSuite.scala
@@ -71,4 +71,12 @@ class DataSourceV2SQLSessionCatalogSuite
       sql(s"CREATE EXTERNAL TABLE t (i INT) USING $v2Format TBLPROPERTIES($prop)")
     }
   }
+
+  test("SPARK-49152: partition columns should be put at the end") {
+    withTable("t") {
+      sql("CREATE TABLE t (c1 INT, c2 INT) USING json PARTITIONED BY (c1)")
+      // partition columns should be put at the end.
+      assert(getTableMetadata("default.t").columns().map(_.name()) === Seq("c2", "c1"))
+    }
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index d55f7879262fc..f60e81d3a4c6f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -2088,10 +2088,18 @@ class DataSourceV2SQLSuiteV1Filter
   }
 
   test("REPLACE TABLE: v1 table") {
-    sql(s"CREATE OR REPLACE TABLE tbl (a int) USING ${classOf[SimpleScanSource].getName}")
-    val v2Catalog = catalog("spark_catalog").asTableCatalog
-    val table = v2Catalog.loadTable(Identifier.of(Array("default"), "tbl"))
-    assert(table.properties().get(TableCatalog.PROP_PROVIDER) == classOf[SimpleScanSource].getName)
+    val e = intercept[AnalysisException] {
+      sql(s"CREATE OR REPLACE TABLE tbl (a int) USING ${classOf[SimpleScanSource].getName}")
+    }
+    checkError(
+      exception = e,
+      errorClass = "UNSUPPORTED_FEATURE.TABLE_OPERATION",
+      sqlState = "0A000",
+      parameters = Map(
+        "tableName" -> "`spark_catalog`.`default`.`tbl`",
+        "operation" -> "REPLACE TABLE"
+      )
+    )
   }
 
   test("DeleteFrom: - delete with invalid predicate") {

From 1f8c71fbb0dc19382a2c518456dbd6b5aefa94cb Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Fri, 6 Sep 2024 03:08:33 +0000
Subject: [PATCH 851/986] Preparing Spark release v3.5.3-rc2

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 3367c1629c578..9c47b16865791 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 014ff5bbaf209..46f4be085728c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index ed2352fd1276e..9704e4aeee933 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index b791a06aad43a..25c1b785961c2 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 685ada5194905..3c95492690393 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index b2e488c7bb222..2bf35c713923d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 3a260a8dff53f..509e067dd246a 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index fd0aa7ba2a3a2..8b0130e551292 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7c87be73d7d96..a402affc88229 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8bc2802ea5d0d..5380c3705f4f0 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 87f6a589261cc..56b66be3f7744 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 994179fd99ac8..2d209746dc7fc 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 801c28319ee84..983d4f087a686 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index d655d1a552814..c665e009199c7 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index ae11f0eac307d..f85820ba1454e 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 533a45e18f662..4a0d1af7968e7 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 07ca1c2b2f3c7..b7aff2d217bc3 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 176d92da63801..a1ebf137e324d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index a6ef06142f5cb..5aa937d481582 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 4282e1f035716..ab48e0eeae2c6 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 2af6002b5c7db..9fdaaa925a759 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a46c9bbfec2cf..e52b828bef975 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d1b0e82c7c0d5..17004f875869c 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 3dea0c82204bd..2dfc5322b2ffa 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.3
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 26d91eff504f2..74f7a8562cbb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index c4f250b40f33d..8a562f6ab0a14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index a47d25015dfa9..72fb8e9ae9bef 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 5c1844be5782d..d548e91536d93 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index bb821190273e1..8733e01ac89b9 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 202b80d38e24f..395f00c4c42f4 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 04acbdb3cd6e4..c005af470cc8b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4-SNAPSHOT</version>
+  <version>3.5.3</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 002d06e28ea15..e12826098ccbf 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4.dev0"
+__version__: str = "3.5.3"
diff --git a/repl/pom.xml b/repl/pom.xml
index 5ef505bbc48e5..84d595c272e81 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index cd90f32d0814f..7c728c913f698 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b72a3daea3c38..55131c524420a 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 31377cbda5d8e..c4c20d2d0948f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index d7f3786e1050f..eff7a72e0194b 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 038b6c16a4e88..ace4be938d454 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 0564a6be7432a..4619c7e658b87 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 62d33dbfc2d41..19e35fa5a252f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 5d2708dfdd714..e752ba0e5084f 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 9a313907eb130..54b7fdcdcc259 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6cbccb39772c9..a9965c1c35724 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index f23f4a4b50559..11b52018c765e 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 46214daba87e2307f1becbaa60183ec0b4a323bc Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Fri, 6 Sep 2024 03:08:37 +0000
Subject: [PATCH 852/986] Preparing development version 3.5.4-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 9c47b16865791..3367c1629c578 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 46f4be085728c..014ff5bbaf209 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 9704e4aeee933..ed2352fd1276e 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 25c1b785961c2..b791a06aad43a 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3c95492690393..685ada5194905 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 2bf35c713923d..b2e488c7bb222 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 509e067dd246a..3a260a8dff53f 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 8b0130e551292..fd0aa7ba2a3a2 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index a402affc88229..7c87be73d7d96 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 5380c3705f4f0..8bc2802ea5d0d 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 56b66be3f7744..87f6a589261cc 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 2d209746dc7fc..994179fd99ac8 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 983d4f087a686..801c28319ee84 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index c665e009199c7..d655d1a552814 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f85820ba1454e..ae11f0eac307d 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 4a0d1af7968e7..533a45e18f662 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b7aff2d217bc3..07ca1c2b2f3c7 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index a1ebf137e324d..176d92da63801 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5aa937d481582..a6ef06142f5cb 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ab48e0eeae2c6..4282e1f035716 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9fdaaa925a759..2af6002b5c7db 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index e52b828bef975..a46c9bbfec2cf 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 17004f875869c..d1b0e82c7c0d5 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 2dfc5322b2ffa..3dea0c82204bd 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.4-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 74f7a8562cbb0..26d91eff504f2 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 8a562f6ab0a14..c4f250b40f33d 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 72fb8e9ae9bef..a47d25015dfa9 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d548e91536d93..5c1844be5782d 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 8733e01ac89b9..bb821190273e1 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 395f00c4c42f4..202b80d38e24f 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c005af470cc8b..04acbdb3cd6e4 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3</version>
+  <version>3.5.4-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index e12826098ccbf..002d06e28ea15 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3"
+__version__: str = "3.5.4.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 84d595c272e81..5ef505bbc48e5 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 7c728c913f698..cd90f32d0814f 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 55131c524420a..b72a3daea3c38 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index c4c20d2d0948f..31377cbda5d8e 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index eff7a72e0194b..d7f3786e1050f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index ace4be938d454..038b6c16a4e88 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 4619c7e658b87..0564a6be7432a 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19e35fa5a252f..62d33dbfc2d41 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index e752ba0e5084f..5d2708dfdd714 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 54b7fdcdcc259..9a313907eb130 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index a9965c1c35724..6cbccb39772c9 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 11b52018c765e..f23f4a4b50559 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 3f22ef1721738ebacba8a27854ea8f24e0c6e5b9 Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 9 Sep 2024 10:45:14 +0800
Subject: [PATCH 853/986] [SPARK-49246][SQL][FOLLOW-UP] The behavior of
 SaveAsTable should not be changed by falling back to v1 command

This is a followup of https://github.com/apache/spark/pull/47772 . The behavior of SaveAsTable should not be changed by switching v1 to v2 command. This is similar to https://github.com/apache/spark/pull/47995. For the case of `DelegatingCatalogExtension` we need it goes to V1 commands to be consistent with previous behavior.

Behavior regression.

No

UT

No

Closes #48019 from amaliujia/regress_v2.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 37b39b41d07cf8f39dd54cc18342e4d7b8bc71a3)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/DataFrameWriter.scala    |  6 ++++--
 ...DataSourceV2DataFrameSessionCatalogSuite.scala | 12 ++++++++++--
 .../sql/connector/TestV2SessionCatalogBase.scala  | 15 +++++----------
 3 files changed, 19 insertions(+), 14 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 84f02c723136b..8c945ef0dbcba 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -565,8 +565,10 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
     import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
 
     val session = df.sparkSession
-    val canUseV2 = lookupV2Provider().isDefined ||
-      df.sparkSession.sessionState.conf.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined
+    val canUseV2 = lookupV2Provider().isDefined || (df.sparkSession.sessionState.conf.getConf(
+        SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined &&
+        !df.sparkSession.sessionState.catalogManager.catalog(CatalogManager.SESSION_CATALOG_NAME)
+          .isInstanceOf[DelegatingCatalogExtension])
 
     session.sessionState.sqlParser.parseMultipartIdentifier(tableName) match {
       case nameParts @ NonSessionCatalogAndIdentifier(catalog, ident) =>
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
index 79fbabbeacaa6..9dd20c906535e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala
@@ -55,8 +55,7 @@ class DataSourceV2DataFrameSessionCatalogSuite
     "and a same-name temp view exist") {
     withTable("same_name") {
       withTempView("same_name") {
-        val format = spark.sessionState.conf.defaultDataSourceName
-        sql(s"CREATE TABLE same_name(id LONG) USING $format")
+        sql(s"CREATE TABLE same_name(id LONG) USING $v2Format")
         spark.range(10).createTempView("same_name")
         spark.range(20).write.format(v2Format).mode(SaveMode.Append).saveAsTable("same_name")
         checkAnswer(spark.table("same_name"), spark.range(10).toDF())
@@ -88,6 +87,15 @@ class DataSourceV2DataFrameSessionCatalogSuite
       assert(tableInfo.properties().get("provider") === v2Format)
     }
   }
+
+  test("SPARK-49246: saveAsTable with v1 format") {
+    withTable("t") {
+      sql("CREATE TABLE t(c INT) USING csv")
+      val df = spark.range(10).toDF()
+      df.write.mode(SaveMode.Overwrite).format("csv").saveAsTable("t")
+      verifyTable("t", df)
+    }
+  }
 }
 
 class InMemoryTableSessionCatalog extends TestV2SessionCatalogBase[InMemoryTable] {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
index 9144fb9390454..bd13123d587f9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/TestV2SessionCatalogBase.scala
@@ -22,8 +22,7 @@ import java.util.concurrent.atomic.AtomicBoolean
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.sql.catalyst.catalog.CatalogTableType
-import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Column, DelegatingCatalogExtension, Identifier, Table, TableCatalog, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Column, DelegatingCatalogExtension, Identifier, Table, TableCatalog}
 import org.apache.spark.sql.connector.expressions.Transform
 import org.apache.spark.sql.types.StructType
 
@@ -53,14 +52,10 @@ private[connector] trait TestV2SessionCatalogBase[T <: Table] extends Delegating
     if (tables.containsKey(ident)) {
       tables.get(ident)
     } else {
-      // Table was created through the built-in catalog
-      super.loadTable(ident) match {
-        case v1Table: V1Table if v1Table.v1Table.tableType == CatalogTableType.VIEW => v1Table
-        case t =>
-          val table = newTable(t.name(), t.schema(), t.partitioning(), t.properties())
-          addTable(ident, table)
-          table
-      }
+      // Table was created through the built-in catalog via v1 command, this is OK as the
+      // `loadTable` should always be invoked, and we set the `tableCreated` to pass validation.
+      tableCreated.set(true)
+      super.loadTable(ident)
     }
   }
 

From 6292cfc14aa1dfe8ce7979d5239c4621631462eb Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Mon, 9 Sep 2024 04:00:40 +0000
Subject: [PATCH 854/986] Preparing Spark release v3.5.3-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 3367c1629c578..9c47b16865791 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 014ff5bbaf209..46f4be085728c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index ed2352fd1276e..9704e4aeee933 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index b791a06aad43a..25c1b785961c2 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 685ada5194905..3c95492690393 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index b2e488c7bb222..2bf35c713923d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 3a260a8dff53f..509e067dd246a 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index fd0aa7ba2a3a2..8b0130e551292 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7c87be73d7d96..a402affc88229 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8bc2802ea5d0d..5380c3705f4f0 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 87f6a589261cc..56b66be3f7744 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 994179fd99ac8..2d209746dc7fc 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 801c28319ee84..983d4f087a686 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index d655d1a552814..c665e009199c7 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index ae11f0eac307d..f85820ba1454e 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 533a45e18f662..4a0d1af7968e7 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 07ca1c2b2f3c7..b7aff2d217bc3 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 176d92da63801..a1ebf137e324d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index a6ef06142f5cb..5aa937d481582 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 4282e1f035716..ab48e0eeae2c6 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 2af6002b5c7db..9fdaaa925a759 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a46c9bbfec2cf..e52b828bef975 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d1b0e82c7c0d5..17004f875869c 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 3dea0c82204bd..2dfc5322b2ffa 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.3
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 26d91eff504f2..74f7a8562cbb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index c4f250b40f33d..8a562f6ab0a14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index a47d25015dfa9..72fb8e9ae9bef 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 5c1844be5782d..d548e91536d93 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index bb821190273e1..8733e01ac89b9 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 202b80d38e24f..395f00c4c42f4 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 04acbdb3cd6e4..c005af470cc8b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4-SNAPSHOT</version>
+  <version>3.5.3</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 002d06e28ea15..e12826098ccbf 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4.dev0"
+__version__: str = "3.5.3"
diff --git a/repl/pom.xml b/repl/pom.xml
index 5ef505bbc48e5..84d595c272e81 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index cd90f32d0814f..7c728c913f698 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b72a3daea3c38..55131c524420a 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 31377cbda5d8e..c4c20d2d0948f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index d7f3786e1050f..eff7a72e0194b 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 038b6c16a4e88..ace4be938d454 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 0564a6be7432a..4619c7e658b87 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 62d33dbfc2d41..19e35fa5a252f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 5d2708dfdd714..e752ba0e5084f 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 9a313907eb130..54b7fdcdcc259 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6cbccb39772c9..a9965c1c35724 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index f23f4a4b50559..11b52018c765e 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From e923790a9a4450cbd9331f2b310847c64605ef64 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Mon, 9 Sep 2024 04:00:44 +0000
Subject: [PATCH 855/986] Preparing development version 3.5.4-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 9c47b16865791..3367c1629c578 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 46f4be085728c..014ff5bbaf209 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 9704e4aeee933..ed2352fd1276e 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 25c1b785961c2..b791a06aad43a 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3c95492690393..685ada5194905 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 2bf35c713923d..b2e488c7bb222 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 509e067dd246a..3a260a8dff53f 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 8b0130e551292..fd0aa7ba2a3a2 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index a402affc88229..7c87be73d7d96 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 5380c3705f4f0..8bc2802ea5d0d 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 56b66be3f7744..87f6a589261cc 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 2d209746dc7fc..994179fd99ac8 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 983d4f087a686..801c28319ee84 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index c665e009199c7..d655d1a552814 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f85820ba1454e..ae11f0eac307d 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 4a0d1af7968e7..533a45e18f662 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b7aff2d217bc3..07ca1c2b2f3c7 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index a1ebf137e324d..176d92da63801 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5aa937d481582..a6ef06142f5cb 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ab48e0eeae2c6..4282e1f035716 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9fdaaa925a759..2af6002b5c7db 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index e52b828bef975..a46c9bbfec2cf 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 17004f875869c..d1b0e82c7c0d5 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 2dfc5322b2ffa..3dea0c82204bd 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.4-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 74f7a8562cbb0..26d91eff504f2 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 8a562f6ab0a14..c4f250b40f33d 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 72fb8e9ae9bef..a47d25015dfa9 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d548e91536d93..5c1844be5782d 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 8733e01ac89b9..bb821190273e1 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 395f00c4c42f4..202b80d38e24f 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c005af470cc8b..04acbdb3cd6e4 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3</version>
+  <version>3.5.4-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index e12826098ccbf..002d06e28ea15 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3"
+__version__: str = "3.5.4.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 84d595c272e81..5ef505bbc48e5 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 7c728c913f698..cd90f32d0814f 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 55131c524420a..b72a3daea3c38 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index c4c20d2d0948f..31377cbda5d8e 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index eff7a72e0194b..d7f3786e1050f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index ace4be938d454..038b6c16a4e88 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 4619c7e658b87..0564a6be7432a 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19e35fa5a252f..62d33dbfc2d41 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index e752ba0e5084f..5d2708dfdd714 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 54b7fdcdcc259..9a313907eb130 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index a9965c1c35724..6cbccb39772c9 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 11b52018c765e..f23f4a4b50559 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From ba374c673634511373af551ba55691debd35904f Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 9 Sep 2024 12:48:41 +0800
Subject: [PATCH 856/986] fix import

---
 .../src/main/scala/org/apache/spark/sql/DataFrameWriter.scala   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 8c945ef0dbcba..2506cb736f18b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -28,7 +28,7 @@ import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.expressions.Literal
 import org.apache.spark.sql.catalyst.plans.logical.{AppendData, CreateTableAsSelect, InsertIntoStatement, LogicalPlan, OptionList, OverwriteByExpression, OverwritePartitionsDynamic, ReplaceTableAsSelect, UnresolvedTableSpec}
 import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
-import org.apache.spark.sql.connector.catalog.{CatalogPlugin, CatalogV2Implicits, CatalogV2Util, Identifier, SupportsCatalogOptions, Table, TableCatalog, TableProvider, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Implicits, CatalogV2Util, DelegatingCatalogExtension, Identifier, SupportsCatalogOptions, Table, TableCatalog, TableProvider, V1Table}
 import org.apache.spark.sql.connector.catalog.TableCapability._
 import org.apache.spark.sql.connector.catalog.TableWritePrivilege
 import org.apache.spark.sql.connector.catalog.TableWritePrivilege._

From 32232e9ed33bb16b93ad58cfde8b82e0f07c0970 Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Mon, 9 Sep 2024 04:52:20 +0000
Subject: [PATCH 857/986] Preparing Spark release v3.5.3-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..ea3d7d2a63caf 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.3
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 3367c1629c578..9c47b16865791 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 014ff5bbaf209..46f4be085728c 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index ed2352fd1276e..9704e4aeee933 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index b791a06aad43a..25c1b785961c2 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 685ada5194905..3c95492690393 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index b2e488c7bb222..2bf35c713923d 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 3a260a8dff53f..509e067dd246a 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index fd0aa7ba2a3a2..8b0130e551292 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7c87be73d7d96..a402affc88229 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8bc2802ea5d0d..5380c3705f4f0 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 87f6a589261cc..56b66be3f7744 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 994179fd99ac8..2d209746dc7fc 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 801c28319ee84..983d4f087a686 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index d655d1a552814..c665e009199c7 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index ae11f0eac307d..f85820ba1454e 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 533a45e18f662..4a0d1af7968e7 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 07ca1c2b2f3c7..b7aff2d217bc3 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 176d92da63801..a1ebf137e324d 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index a6ef06142f5cb..5aa937d481582 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 4282e1f035716..ab48e0eeae2c6 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 2af6002b5c7db..9fdaaa925a759 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a46c9bbfec2cf..e52b828bef975 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d1b0e82c7c0d5..17004f875869c 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 3dea0c82204bd..2dfc5322b2ffa 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.3
+SPARK_VERSION_SHORT: 3.5.3
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.3"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 26d91eff504f2..74f7a8562cbb0 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index c4f250b40f33d..8a562f6ab0a14 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index a47d25015dfa9..72fb8e9ae9bef 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 5c1844be5782d..d548e91536d93 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index bb821190273e1..8733e01ac89b9 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 202b80d38e24f..395f00c4c42f4 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 04acbdb3cd6e4..c005af470cc8b 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4-SNAPSHOT</version>
+  <version>3.5.3</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 002d06e28ea15..e12826098ccbf 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4.dev0"
+__version__: str = "3.5.3"
diff --git a/repl/pom.xml b/repl/pom.xml
index 5ef505bbc48e5..84d595c272e81 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index cd90f32d0814f..7c728c913f698 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b72a3daea3c38..55131c524420a 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 31377cbda5d8e..c4c20d2d0948f 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index d7f3786e1050f..eff7a72e0194b 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 038b6c16a4e88..ace4be938d454 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.3</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 0564a6be7432a..4619c7e658b87 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 62d33dbfc2d41..19e35fa5a252f 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 5d2708dfdd714..e752ba0e5084f 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 9a313907eb130..54b7fdcdcc259 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6cbccb39772c9..a9965c1c35724 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index f23f4a4b50559..11b52018c765e 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.3</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 67421bb4123e625a31763893011a3addde0be7da Mon Sep 17 00:00:00 2001
From: Haejoon Lee <haejoon@apache.org>
Date: Mon, 9 Sep 2024 04:52:24 +0000
Subject: [PATCH 858/986] Preparing development version 3.5.4-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index ea3d7d2a63caf..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.3
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 9c47b16865791..3367c1629c578 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 46f4be085728c..014ff5bbaf209 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 9704e4aeee933..ed2352fd1276e 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index 25c1b785961c2..b791a06aad43a 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 3c95492690393..685ada5194905 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 2bf35c713923d..b2e488c7bb222 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 509e067dd246a..3a260a8dff53f 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 8b0130e551292..fd0aa7ba2a3a2 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index a402affc88229..7c87be73d7d96 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 5380c3705f4f0..8bc2802ea5d0d 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 56b66be3f7744..87f6a589261cc 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 2d209746dc7fc..994179fd99ac8 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 983d4f087a686..801c28319ee84 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index c665e009199c7..d655d1a552814 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index f85820ba1454e..ae11f0eac307d 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 4a0d1af7968e7..533a45e18f662 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index b7aff2d217bc3..07ca1c2b2f3c7 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index a1ebf137e324d..176d92da63801 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5aa937d481582..a6ef06142f5cb 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index ab48e0eeae2c6..4282e1f035716 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 9fdaaa925a759..2af6002b5c7db 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index e52b828bef975..a46c9bbfec2cf 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index 17004f875869c..d1b0e82c7c0d5 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 2dfc5322b2ffa..3dea0c82204bd 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.3
-SPARK_VERSION_SHORT: 3.5.3
+SPARK_VERSION: 3.5.4-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.3"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 74f7a8562cbb0..26d91eff504f2 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 8a562f6ab0a14..c4f250b40f33d 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 72fb8e9ae9bef..a47d25015dfa9 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index d548e91536d93..5c1844be5782d 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 8733e01ac89b9..bb821190273e1 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 395f00c4c42f4..202b80d38e24f 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index c005af470cc8b..04acbdb3cd6e4 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.3</version>
+  <version>3.5.4-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index e12826098ccbf..002d06e28ea15 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.3"
+__version__: str = "3.5.4.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 84d595c272e81..5ef505bbc48e5 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 7c728c913f698..cd90f32d0814f 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 55131c524420a..b72a3daea3c38 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index c4c20d2d0948f..31377cbda5d8e 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index eff7a72e0194b..d7f3786e1050f 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index ace4be938d454..038b6c16a4e88 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.3</version>
+        <version>3.5.4-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 4619c7e658b87..0564a6be7432a 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 19e35fa5a252f..62d33dbfc2d41 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index e752ba0e5084f..5d2708dfdd714 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 54b7fdcdcc259..9a313907eb130 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index a9965c1c35724..6cbccb39772c9 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 11b52018c765e..f23f4a4b50559 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.3</version>
+    <version>3.5.4-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 1206b5217fb77e235d65598b42ac204c2074844f Mon Sep 17 00:00:00 2001
From: Christos Stavrakakis <christos.stavrakakis@databricks.com>
Date: Mon, 9 Sep 2024 17:20:36 +0800
Subject: [PATCH 859/986] [SPARK-49501][SQL] Fix double-escaping of table
 location

Change the implementation of `createTable` to avoid escaping of special chars in `UnresolvedTableSpec.location`. This field should contain the original user-provided `path` option and not the URI that is constructed by the `buildStorageFormatFromOptions()` call.

In addition this commit extends `SparkFunSuite` and `SQLTestUtils` to allow creating temporary directories with a custom prefix. This can be used to create temporary directories with special chars.

Bug fix. The following code would result in the creation of a table that is stored in `/tmp/test%table` instead of `/tmp/test table`:
```
spark.catalog.createTable("testTable", source = "parquet", schema = new StructType().add("id", "int"), description = "", options = Map("path" -> "/tmp/test table"))
```

Note that this was not consistent with the SQL API, e.g. `create table testTable(id int) using parquet location '/tmp/test table'`

Yes. The previous behaviour would result in table path be escaped. After this change the path will not be escaped.

Updated existing test in `CatalogSuite`.

No

Closes #47976 from cstavr/location-double-escaping.

Authored-by: Christos Stavrakakis <christos.stavrakakis@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit dc3333bcc5994d2e25a16ff6ef8bf551cf56c130)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../org/apache/spark/sql/internal/CatalogImpl.scala    | 10 ++++------
 .../org/apache/spark/sql/internal/CatalogSuite.scala   |  3 ++-
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala b/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala
index 796710a35672f..4e556ad846862 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala
@@ -29,6 +29,7 @@ import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{Expression, Literal}
 import org.apache.spark.sql.catalyst.plans.logical.{CreateTable, LocalRelation, LogicalPlan, OptionList, RecoverPartitions, ShowFunctions, ShowNamespaces, ShowTables, UnresolvedTableSpec, View}
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
+import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
 import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Util, FunctionCatalog, Identifier, SupportsNamespaces, Table => V2Table, TableCatalog, V1Table}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.{CatalogHelper, MultipartIdentifierHelper, NamespaceHelper, TransformHelper}
 import org.apache.spark.sql.errors.QueryCompilationErrors
@@ -656,12 +657,9 @@ class CatalogImpl(sparkSession: SparkSession) extends Catalog {
     } else {
       CatalogTableType.MANAGED
     }
-    val location = if (storage.locationUri.isDefined) {
-      val locationStr = storage.locationUri.get.toString
-      Some(locationStr)
-    } else {
-      None
-    }
+
+    // The location in UnresolvedTableSpec should be the original user-provided path string.
+    val location = CaseInsensitiveMap(options).get("path")
 
     val newOptions = OptionList(options.map { case (key, value) =>
       (key, Literal(value).asInstanceOf[Expression])
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
index c6bf220e45d52..470bd15cc418c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
@@ -635,7 +635,8 @@ class CatalogSuite extends SharedSparkSession with AnalysisTest with BeforeAndAf
     val description = "this is a test table"
 
     withTable("t") {
-      withTempDir { dir =>
+      withTempDir { baseDir =>
+        val dir = new File(baseDir, "test%prefix")
         spark.catalog.createTable(
           tableName = "t",
           source = "json",

From 96eebebaf5146144ff900c8081dfa5c5960b3bb2 Mon Sep 17 00:00:00 2001
From: Xinrong Meng <xinrong@apache.org>
Date: Wed, 11 Sep 2024 08:52:33 -0700
Subject: [PATCH 860/986] [SPARK-49595][CONNECT][SQL] Fix
 `DataFrame.unpivot/melt` in Spark Connect Scala Client

Fix DataFrame.unpivot/melt in Spark Connect Scala Client by correctly assigning the name for the variable column.

The original code used `setValueColumnName` for both the variable and value columns.

This fix is necessary to ensure the correct behavior of the unpivot/melt operation.

Yes. Variable and value columns can be set correctly as shown below.

```scala
scala> val df = Seq((1, 11, 12L), (2, 21, 22L)).toDF("id", "int", "long")
df: org.apache.spark.sql.package.DataFrame = [id: int, int: int ... 1 more field]

scala> df.show()
+---+---+----+
| id|int|long|
+---+---+----+
|  1| 11|  12|
|  2| 21|  22|
+---+---+----+
```
FROM (current master)
```scala
scala> df.unpivot(Array($"id"), Array($"int", $"long"), "variable", "value").show()
+---+----+-----+
| id|    |value|
+---+----+-----+
|  1| int|   11|
|  1|long|   12|
|  2| int|   21|
|  2|long|   22|
+---+----+-----+

```

TO
```scala
scala> df.unpivot(Array($"id"), Array($"int", $"long"), "variable", "value").show()
+---+--------+-----+
| id|variable|value|
+---+--------+-----+
|  1|     int|   11|
|  1|    long|   12|
|  2|     int|   21|
|  2|    long|   22|
+---+--------+-----+
```

Existing tests.

No.

Closes #48069 from xinrong-meng/fix_unpivot.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit e63b5601c1bd74b2b0054d48f944424d12b79835)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../main/scala/org/apache/spark/sql/Dataset.scala |   2 +-
 .../explain-results/melt_no_values.explain        |   2 +-
 .../explain-results/melt_values.explain           |   2 +-
 .../explain-results/unpivot_no_values.explain     |   2 +-
 .../explain-results/unpivot_values.explain        |   2 +-
 .../query-tests/queries/melt_no_values.json       |   1 +
 .../query-tests/queries/melt_no_values.proto.bin  | Bin 71 -> 77 bytes
 .../query-tests/queries/melt_values.json          |   1 +
 .../query-tests/queries/melt_values.proto.bin     | Bin 73 -> 79 bytes
 .../query-tests/queries/unpivot_no_values.json    |   1 +
 .../queries/unpivot_no_values.proto.bin           | Bin 64 -> 70 bytes
 .../query-tests/queries/unpivot_values.json       |   1 +
 .../query-tests/queries/unpivot_values.proto.bin  | Bin 80 -> 86 bytes
 13 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
index bdaa4e28ba892..865596a669a09 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -1291,7 +1291,7 @@ class Dataset[T] private[sql] (
     val unpivot = builder.getUnpivotBuilder
       .setInput(plan.getRoot)
       .addAllIds(ids.toSeq.map(_.expr).asJava)
-      .setValueColumnName(variableColumnName)
+      .setVariableColumnName(variableColumnName)
       .setValueColumnName(valueColumnName)
     valuesOption.foreach { values =>
       unpivot.getValuesBuilder
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/melt_no_values.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/melt_no_values.explain
index f61fc30a3a529..053937d84ec8f 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/melt_no_values.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/melt_no_values.explain
@@ -1,2 +1,2 @@
-Expand [[id#0L, a#0, b, b#0]], [id#0L, a#0, #0, value#0]
+Expand [[id#0L, a#0, b, b#0]], [id#0L, a#0, name#0, value#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/melt_values.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/melt_values.explain
index b5742d976dee9..5a953f792cd35 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/melt_values.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/melt_values.explain
@@ -1,2 +1,2 @@
-Expand [[a#0, id, id#0L]], [a#0, #0, value#0L]
+Expand [[a#0, id, id#0L]], [a#0, name#0, value#0L]
 +- LocalRelation <empty>, [id#0L, a#0, b#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_no_values.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_no_values.explain
index 8d1749ee74c5a..2b2ba19d0c3db 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_no_values.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_no_values.explain
@@ -1,2 +1,2 @@
-Expand [[id#0L, a, cast(a#0 as double)], [id#0L, b, b#0]], [id#0L, #0, value#0]
+Expand [[id#0L, a, cast(a#0 as double)], [id#0L, b, b#0]], [id#0L, name#0, value#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_values.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_values.explain
index f61fc30a3a529..053937d84ec8f 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_values.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/unpivot_values.explain
@@ -1,2 +1,2 @@
-Expand [[id#0L, a#0, b, b#0]], [id#0L, a#0, #0, value#0]
+Expand [[id#0L, a#0, b, b#0]], [id#0L, a#0, name#0, value#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.json b/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.json
index 12db0a5abe368..a17da06b925b9 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.json
@@ -20,6 +20,7 @@
         "unparsedIdentifier": "a"
       }
     }],
+    "variableColumnName": "name",
     "valueColumnName": "value"
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/melt_no_values.proto.bin
index 23a6aa1289a998657a7a4699cc50d73075e6062e..eebb7ad6df8e24ef5688b8d5029a324be1a83236 100644
GIT binary patch
delta 27
icmZ?wW#?iNU_8a>Hj&+uSBWJrF*j9<wJb5GG!+0&r3SkI

delta 21
ccmeZuXXj!PU_8a>Fp=GoU5m9WF{d;Y04&%9=l}o!

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/melt_values.json b/connector/connect/common/src/test/resources/query-tests/queries/melt_values.json
index e2a004f46e781..a8142ee3a8461 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/melt_values.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/melt_values.json
@@ -23,6 +23,7 @@
         }
       }]
     },
+    "variableColumnName": "name",
     "valueColumnName": "value"
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/melt_values.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/melt_values.proto.bin
index e021e1110def58b699563bc6a1e0add206b201fa..35829fc62dae9e7761151a06caed4203168a9e00 100644
GIT binary patch
delta 27
icmebDXXj!PU_8a>F_GPxSBWJrF*j9<wJb5GG!+0(Q3k^R

delta 21
ccmebGWanZMU_8a>G?Cq!U5m9WF{d;Y04-Dm@Bjb+

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.json b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.json
index 9f550c0319147..96b76443b6790 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.json
@@ -16,6 +16,7 @@
         "unparsedIdentifier": "id"
       }
     }],
+    "variableColumnName": "name",
     "valueColumnName": "value"
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_no_values.proto.bin
index ac3bad8bd04ed98145b1856a51af96a6819e6bd1..b700190a9f667c97a80c37802035d2e9458b492a 100644
GIT binary patch
delta 27
icmZ>8W9MQLU_8ZWKat&tSBWJrF*j9<wJb5GG!+0$O9r0+

delta 21
ccmZ>BVCP~IU_8ZWIg#CnU5m9WF{d;Y04pX0%m4rY

diff --git a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.json b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.json
index 92bc19d195c6e..6c31afb04e741 100644
--- a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.json
+++ b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.json
@@ -27,6 +27,7 @@
         }
       }]
     },
+    "variableColumnName": "name",
     "valueColumnName": "value"
   }
 }
\ No newline at end of file
diff --git a/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.proto.bin b/connector/connect/common/src/test/resources/query-tests/queries/unpivot_values.proto.bin
index 7f717cb23517b2ae83cc049e87fb0bdb71d30495..a1cd388fd8a46cdcfd23e7fbc632a7f0e892edca 100644
GIT binary patch
delta 27
icmWFtW9MQLU_8a>Kat&uSBWJrF*j9<wJb5GG!+0*s|Mcy

delta 21
ccmWFwVCP~IU_8a>Ig#CoU5m9WF{d;Y051jw3;+NC


From 560efed3b00f4ac9be4356714c664bf0e9341c0b Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Thu, 12 Sep 2024 08:11:03 -0700
Subject: [PATCH 861/986] [SPARK-49261][SQL] Don't replace literals in
 aggregate expressions with group-by expressions

### What changes were proposed in this pull request?

Before this PR, `RewriteDistinctAggregates` could potentially replace literals in the aggregate expressions with output attributes from the `Expand` operator. This can occur when a group-by expression is a literal that happens by chance to match a literal used in an aggregate expression. E.g.:

```
create or replace temp view v1(a, b, c) as values
(1, 1.001d, 2), (2, 3.001d, 4), (2, 3.001, 4);

cache table v1;

select
  round(sum(b), 6) as sum1,
  count(distinct a) as count1,
  count(distinct c) as count2
from (
  select
    6 as gb,
    *
  from v1
)
group by a, gb;
```
In the optimized plan, you can see that the literal 6 in the `round` function invocation has been patched with an output attribute (6#163) from the `Expand` operator:
```
== Optimized Logical Plan ==
'Aggregate [a#123, 6#163], [round(first(sum(__auto_generated_subquery_name.b)#167, true) FILTER (WHERE (gid#162 = 0)), 6#163) AS sum1#114, count(__auto_generated_subquery_name.a#164) FILTER (WHERE (gid#162 = 1)) AS count1#115L, count(__auto_generated_subquery_name.c#165) FILTER (WHERE (gid#162 = 2)) AS count2#116L]
+- Aggregate [a#123, 6#163, __auto_generated_subquery_name.a#164, __auto_generated_subquery_name.c#165, gid#162], [a#123, 6#163, __auto_generated_subquery_name.a#164, __auto_generated_subquery_name.c#165, gid#162, sum(__auto_generated_subquery_name.b#166) AS sum(__auto_generated_subquery_name.b)#167]
   +- Expand [[a#123, 6, null, null, 0, b#124], [a#123, 6, a#123, null, 1, null], [a#123, 6, null, c#125, 2, null]], [a#123, 6#163, __auto_generated_subquery_name.a#164, __auto_generated_subquery_name.c#165, gid#162, __auto_generated_subquery_name.b#166]
      +- InMemoryRelation [a#123, b#124, c#125], StorageLevel(disk, memory, deserialized, 1 replicas)
            +- LocalTableScan [a#6, b#7, c#8]
```
This is because the literal 6 was used in the group-by expressions (referred to as gb in the query, and renamed 6#163 in the `Expand` operator's output attributes).

After this PR, foldable expressions in the aggregate expressions are kept as-is.

### Why are the changes needed?

Some expressions require a foldable argument. In the above example, the `round` function requires a foldable expression as the scale argument. Because the scale argument is patched with an attribute, `RoundBase#checkInputDataTypes` returns an error, which leaves the `Aggregate` operator unresolved:
```
[INTERNAL_ERROR] Invalid call to dataType on unresolved object SQLSTATE: XX000
org.apache.spark.sql.catalyst.analysis.UnresolvedException: [INTERNAL_ERROR] Invalid call to dataType on unresolved object SQLSTATE: XX000
	at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.dataType(unresolved.scala:255)
	at org.apache.spark.sql.catalyst.types.DataTypeUtils$.$anonfun$fromAttributes$1(DataTypeUtils.scala:241)
	at scala.collection.immutable.List.map(List.scala:247)
	at scala.collection.immutable.List.map(List.scala:79)
	at org.apache.spark.sql.catalyst.types.DataTypeUtils$.fromAttributes(DataTypeUtils.scala:241)
	at org.apache.spark.sql.catalyst.plans.QueryPlan.schema$lzycompute(QueryPlan.scala:428)
	at org.apache.spark.sql.catalyst.plans.QueryPlan.schema(QueryPlan.scala:428)
	at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:474)
        ...
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

New tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47876 from bersprockets/group_by_lit_issue.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 1a0791d006e25898b67cc17e1420f053a39091b9)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../optimizer/RewriteDistinctAggregates.scala |  3 ++-
 .../RewriteDistinctAggregatesSuite.scala      | 18 +++++++++++++++-
 .../spark/sql/DataFrameAggregateSuite.scala   | 21 +++++++++++++++++++
 3 files changed, 40 insertions(+), 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
index 801bd2693af42..5aef82b64ed32 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
@@ -400,13 +400,14 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
         (distinctAggOperatorMap.flatMap(_._2) ++
           regularAggOperatorMap.map(e => (e._1, e._3))).toMap
 
+      val groupByMapNonFoldable = groupByMap.filter(!_._1.foldable)
       val patchedAggExpressions = a.aggregateExpressions.map { e =>
         e.transformDown {
           case e: Expression =>
             // The same GROUP BY clauses can have different forms (different names for instance) in
             // the groupBy and aggregate expressions of an aggregate. This makes a map lookup
             // tricky. So we do a linear search for a semantically equal group by expression.
-            groupByMap
+            groupByMapNonFoldable
               .find(ge => e.semanticEquals(ge._1))
               .map(_._2)
               .getOrElse(transformations.getOrElse(e, e))
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
index ac136dfb898ef..4d31999ded655 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.catalyst.optimizer
 
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.catalyst.expressions.{Literal, Round}
 import org.apache.spark.sql.catalyst.expressions.aggregate.CollectSet
 import org.apache.spark.sql.catalyst.plans.PlanTest
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Expand, LocalRelation, LogicalPlan}
@@ -109,4 +109,20 @@ class RewriteDistinctAggregatesSuite extends PlanTest {
       case _ => fail(s"Plan is not rewritten:\n$rewrite")
     }
   }
+
+  test("SPARK-49261: Literals in grouping expressions shouldn't result in unresolved aggregation") {
+    val relation = testRelation2
+      .select(Literal(6).as("gb"), $"a", $"b", $"c", $"d")
+    val input = relation
+      .groupBy($"a", $"gb")(
+        countDistinct($"b").as("agg1"),
+        countDistinct($"d").as("agg2"),
+        Round(sum($"c").as("sum1"), 6)).analyze
+    val rewriteFold = FoldablePropagation(input)
+    // without the fix, the below produces an unresolved plan
+    val rewrite = RewriteDistinctAggregates(rewriteFold)
+    if (!rewrite.resolved) {
+      fail(s"Plan is not as expected:\n$rewrite")
+    }
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 764b7a9719d29..5a8681aed973a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -2261,6 +2261,27 @@ class DataFrameAggregateSuite extends QueryTest
       })
     }
   }
+
+  test("SPARK-49261: Literals in grouping expressions shouldn't result in unresolved aggregation") {
+    val data = Seq((1, 1.001d, 2), (2, 3.001d, 4), (2, 3.001, 4)).toDF("a", "b", "c")
+    withTempView("v1") {
+      data.createOrReplaceTempView("v1")
+      val df =
+        sql("""SELECT
+              |  ROUND(SUM(b), 6) AS sum1,
+              |  COUNT(DISTINCT a) AS count1,
+              |  COUNT(DISTINCT c) AS count2
+              |FROM (
+              |  SELECT
+              |    6 AS gb,
+              |    *
+              |  FROM v1
+              |)
+              |GROUP BY a, gb
+              |""".stripMargin)
+      checkAnswer(df, Row(1.001d, 1, 1) :: Row(6.002d, 1, 1) :: Nil)
+    }
+  }
 }
 
 case class B(c: Option[Double])

From e693e18c7d0e9a495dcb6e9b31dac9ce2b98428c Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Fri, 13 Sep 2024 15:00:53 +0800
Subject: [PATCH 862/986] [SPARK-49628][SQL] ConstantFolding should copy
 stateful expression before evaluating

### What changes were proposed in this pull request?

It's possible that a logical plan instance is being shared by multiple DFs and these DFs are executed in parallel. Spark always copy stateful expressions before evaluating them, but one place is missed: `ConstantFolding` can also execute expressions. This PR fixes it.

### Why are the changes needed?

avoid concurrency issues.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

Not able to write a test for it, but this concurrency issue is quite obvious

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #48104 from cloud-fan/constant.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 319e7cc7d0e7ba9a99f808d51a8d635a6159ce8f)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../org/apache/spark/sql/catalyst/optimizer/expressions.scala   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
index 456d0da54de5f..c0995b273bd03 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
@@ -78,7 +78,7 @@ object ConstantFolding extends Rule[LogicalPlan] {
     // Fold expressions that are foldable.
     case e if e.foldable =>
       try {
-        Literal.create(e.eval(EmptyRow), e.dataType)
+        Literal.create(e.freshCopyIfContainsStatefulExpression().eval(EmptyRow), e.dataType)
       } catch {
         case NonFatal(_) if isConditionalBranch =>
           // When doing constant folding inside conditional expressions, we should not fail

From e7ca790ed4f0b4d7c19d849b00a23474c391b79f Mon Sep 17 00:00:00 2001
From: Nick Young <nick.young@databricks.com>
Date: Fri, 20 Sep 2024 18:05:28 +0900
Subject: [PATCH 863/986] [SPARK-49699][SS] Disable PruneFilters for streaming
 workloads

The PR proposes to disable PruneFilters if the predicate of the filter is evaluated to `null` / `false` and the filter (and subtree) is streaming.

PruneFilters replaces the `null` / `false` filter with an empty relation, which means the subtree of the filter is also lost. The optimization does not care about whichever operator is in the subtree, hence some important operators like stateful operator, watermark node, observe node could be lost.

The filter could be evaluated to `null` / `false` selectively among microbatches in various reasons (one simple example is the modification of the query during restart), which means stateful operator might not be available for batch N and be available for batch N + 1. For this case, streaming query will fail as batch N + 1 cannot load the state from batch N, and it's not recoverable in most cases.

See new tests in StreamingQueryOptimizationCorrectnessSuite for details.

No.

UT.

No.

Closes #48149 from n-young-db/n-young-db/disable-streaming-prune-filters.

Lead-authored-by: Nick Young <nick.young@databricks.com>
Co-authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 46b0210edb4ef8490ee4bbc4a40baf202a531b33)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala    |  7 +-
 .../apache/spark/sql/internal/SQLConf.scala   |  9 +++
 .../PropagateEmptyRelationSuite.scala         | 27 ++++++--
 .../optimizer/PruneFiltersSuite.scala         | 34 ++++++++++
 .../sql/execution/streaming/OffsetSeq.scala   |  7 +-
 ...ingQueryOptimizationCorrectnessSuite.scala | 64 ++++++++++++++++++-
 6 files changed, 137 insertions(+), 11 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 239682ab1f847..106b5396d3a8c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -1661,15 +1661,18 @@ object EliminateSorts extends Rule[LogicalPlan] {
  * 3) by eliminating the always-true conditions given the constraints on the child's output.
  */
 object PruneFilters extends Rule[LogicalPlan] with PredicateHelper {
+  private def shouldApply(child: LogicalPlan): Boolean =
+    SQLConf.get.getConf(SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN) || !child.isStreaming
+
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformWithPruning(
     _.containsPattern(FILTER), ruleId) {
     // If the filter condition always evaluate to true, remove the filter.
     case Filter(Literal(true, BooleanType), child) => child
     // If the filter condition always evaluate to null or false,
     // replace the input with an empty relation.
-    case Filter(Literal(null, _), child) =>
+    case Filter(Literal(null, _), child) if shouldApply(child) =>
       LocalRelation(child.output, data = Seq.empty, isStreaming = child.isStreaming)
-    case Filter(Literal(false, BooleanType), child) =>
+    case Filter(Literal(false, BooleanType), child) if shouldApply(child) =>
       LocalRelation(child.output, data = Seq.empty, isStreaming = child.isStreaming)
     // If any deterministic condition is guaranteed to be true given the constraints on the child's
     // output, remove the condition
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 44c58cd13ea84..6f2f0088fccd1 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3420,6 +3420,15 @@ object SQLConf {
       .intConf
       .createWithDefault(ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH)
 
+  val PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN =
+    buildConf("spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
+      .internal()
+      .doc("Allow PruneFilters to remove streaming subplans when we encounter a false filter. " +
+        "This flag is to restore prior buggy behavior for broken pipelines.")
+      .version("4.0.0")
+      .booleanConf
+      .createWithDefault(false)
+
   object Deprecated {
     val MAPRED_REDUCE_TASKS = "mapred.reduce.tasks"
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
index 5aeb27f7ee6b4..451236162343b 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelationSuite.scala
@@ -27,12 +27,13 @@ import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical.{Expand, Filter, LocalRelation, LogicalPlan, Project}
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{IntegerType, MetadataBuilder}
 
-class PropagateEmptyRelationSuite extends PlanTest {
+class   PropagateEmptyRelationSuite extends PlanTest {
   object Optimize extends RuleExecutor[LogicalPlan] {
     val batches =
-      Batch("PropagateEmptyRelation", Once,
+      Batch("PropagateEmptyRelation", FixedPoint(1),
         CombineUnions,
         ReplaceDistinctWithAggregate,
         ReplaceExceptWithAntiJoin,
@@ -45,7 +46,7 @@ class PropagateEmptyRelationSuite extends PlanTest {
 
   object OptimizeWithoutPropagateEmptyRelation extends RuleExecutor[LogicalPlan] {
     val batches =
-      Batch("OptimizeWithoutPropagateEmptyRelation", Once,
+      Batch("OptimizeWithoutPropagateEmptyRelation", FixedPoint(1),
         CombineUnions,
         ReplaceDistinctWithAggregate,
         ReplaceExceptWithAntiJoin,
@@ -216,10 +217,24 @@ class PropagateEmptyRelationSuite extends PlanTest {
       .where($"a" =!= 200)
       .orderBy($"a".asc)
 
-    val optimized = Optimize.execute(query.analyze)
-    val correctAnswer = LocalRelation(output, isStreaming = true)
+    withSQLConf(
+        SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> "true") {
+      val optimized = Optimize.execute(query.analyze)
+      val correctAnswer = LocalRelation(output, isStreaming = true)
+      comparePlans(optimized, correctAnswer)
+    }
 
-    comparePlans(optimized, correctAnswer)
+    withSQLConf(
+        SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> "false") {
+      val optimized = Optimize.execute(query.analyze)
+      val correctAnswer = relation
+        .where(false)
+        .where($"a" > 1)
+        .select($"a")
+        .where($"a" =!= 200)
+        .orderBy($"a".asc).analyze
+      comparePlans(optimized, correctAnswer)
+    }
   }
 
   test("SPARK-47305 correctly tag isStreaming when propagating empty relation " +
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PruneFiltersSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PruneFiltersSuite.scala
index b81a57f4f8cd5..66ded338340f3 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PruneFiltersSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/PruneFiltersSuite.scala
@@ -174,4 +174,38 @@ class PruneFiltersSuite extends PlanTest {
       testRelation.where(!$"a".attr.in(1, 3, 5) && $"a".attr === 7 && $"b".attr === 1)
         .where(Rand(10) > 0.1 && Rand(10) < 1.1).analyze)
   }
+
+  test("Streaming relation is not lost under true filter") {
+    Seq("true", "false").foreach(x => withSQLConf(
+        SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> x) {
+      val streamingRelation =
+        LocalRelation(Seq($"a".int, $"b".int, $"c".int), Nil, isStreaming = true)
+      val originalQuery = streamingRelation.where(10 > 5).select($"a").analyze
+      val optimized = Optimize.execute(originalQuery)
+      val correctAnswer = streamingRelation.select($"a").analyze
+      comparePlans(optimized, correctAnswer)
+    })
+  }
+
+  test("Streaming relation is not lost under false filter") {
+    withSQLConf(
+        SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> "true") {
+      val streamingRelation =
+        LocalRelation(Seq($"a".int, $"b".int, $"c".int), Nil, isStreaming = true)
+      val originalQuery = streamingRelation.where(10 < 5).select($"a").analyze
+      val optimized = Optimize.execute(originalQuery)
+      val correctAnswer = streamingRelation.select($"a").analyze
+      comparePlans(optimized, correctAnswer)
+    }
+
+    withSQLConf(
+        SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> "false") {
+      val streamingRelation =
+        LocalRelation(Seq($"a".int, $"b".int, $"c".int), Nil, isStreaming = true)
+      val originalQuery = streamingRelation.where(10 < 5).select($"a").analyze
+      val optimized = Optimize.execute(originalQuery)
+      val correctAnswer = streamingRelation.where(10 < 5).select($"a").analyze
+      comparePlans(optimized, correctAnswer)
+    }
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
index 913805d1a074d..cea7ec432aad9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
@@ -98,7 +98,9 @@ object OffsetSeqMetadata extends Logging {
     SHUFFLE_PARTITIONS, STATE_STORE_PROVIDER_CLASS, STREAMING_MULTIPLE_WATERMARK_POLICY,
     FLATMAPGROUPSWITHSTATE_STATE_FORMAT_VERSION, STREAMING_AGGREGATION_STATE_FORMAT_VERSION,
     STREAMING_JOIN_STATE_FORMAT_VERSION, STATE_STORE_COMPRESSION_CODEC,
-    STATE_STORE_ROCKSDB_FORMAT_VERSION, STATEFUL_OPERATOR_USE_STRICT_DISTRIBUTION)
+    STATE_STORE_ROCKSDB_FORMAT_VERSION, STATEFUL_OPERATOR_USE_STRICT_DISTRIBUTION,
+    PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN
+  )
 
   /**
    * Default values of relevant configurations that are used for backward compatibility.
@@ -119,7 +121,8 @@ object OffsetSeqMetadata extends Logging {
     STREAMING_JOIN_STATE_FORMAT_VERSION.key ->
       SymmetricHashJoinStateManager.legacyVersion.toString,
     STATE_STORE_COMPRESSION_CODEC.key -> "lz4",
-    STATEFUL_OPERATOR_USE_STRICT_DISTRIBUTION.key -> "false"
+    STATEFUL_OPERATOR_USE_STRICT_DISTRIBUTION.key -> "false",
+    PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key -> "true"
   )
 
   def apply(json: String): OffsetSeqMetadata = Serialization.read[OffsetSeqMetadata](json)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
index 782badaef924f..f651bfb7f3c72 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryOptimizationCorrectnessSuite.scala
@@ -21,7 +21,7 @@ import java.sql.Timestamp
 
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.execution.streaming.MemoryStream
-import org.apache.spark.sql.functions.{expr, lit, window}
+import org.apache.spark.sql.functions.{count, expr, lit, timestamp_seconds, window}
 import org.apache.spark.sql.internal.SQLConf
 
 /**
@@ -524,4 +524,66 @@ class StreamingQueryOptimizationCorrectnessSuite extends StreamTest {
       doTest(numExpectedStatefulOperatorsForOneEmptySource = 1)
     }
   }
+
+  test("SPARK-49699: observe node is not pruned out from PruneFilters") {
+    val input1 = MemoryStream[Int]
+    val df = input1.toDF()
+      .withColumn("eventTime", timestamp_seconds($"value"))
+      .observe("observation", count(lit(1)).as("rows"))
+      // Enforce PruneFilters to come into play and prune subtree. We could do the same
+      // with the reproducer of SPARK-48267, but let's just be simpler.
+      .filter(expr("false"))
+
+    testStream(df)(
+      AddData(input1, 1, 2, 3),
+      CheckNewAnswer(),
+      Execute { qe =>
+        val observeRow = qe.lastExecution.observedMetrics.get("observation")
+        assert(observeRow.get.getAs[Long]("rows") == 3L)
+      }
+    )
+  }
+
+  test("SPARK-49699: watermark node is not pruned out from PruneFilters") {
+    // NOTE: The test actually passes without SPARK-49699, because of the trickiness of
+    // filter pushdown and PruneFilters. Unlike observe node, the `false` filter is pushed down
+    // below to watermark node, hence PruneFilters rule does not prune out watermark node even
+    // before SPARK-49699. Propagate empty relation does not also propagate emptiness into
+    // watermark node, so the node is retained. The test is added for preventing regression.
+
+    val input1 = MemoryStream[Int]
+    val df = input1.toDF()
+      .withColumn("eventTime", timestamp_seconds($"value"))
+      .withWatermark("eventTime", "0 second")
+      // Enforce PruneFilter to come into play and prune subtree. We could do the same
+      // with the reproducer of SPARK-48267, but let's just be simpler.
+      .filter(expr("false"))
+
+    testStream(df)(
+      AddData(input1, 1, 2, 3),
+      CheckNewAnswer(),
+      Execute { qe =>
+        // If the watermark node is pruned out, this would be null.
+        assert(qe.lastProgress.eventTime.get("watermark") != null)
+      }
+    )
+  }
+
+  test("SPARK-49699: stateful operator node is not pruned out from PruneFilters") {
+    val input1 = MemoryStream[Int]
+    val df = input1.toDF()
+      .groupBy("value")
+      .count()
+      // Enforce PruneFilter to come into play and prune subtree. We could do the same
+      // with the reproducer of SPARK-48267, but let's just be simpler.
+      .filter(expr("false"))
+
+    testStream(df, OutputMode.Complete())(
+      AddData(input1, 1, 2, 3),
+      CheckNewAnswer(),
+      Execute { qe =>
+        assert(qe.lastProgress.stateOperators.length == 1)
+      }
+    )
+  }
 }

From dd76a82734564afeed4225d19331243f7b926ae8 Mon Sep 17 00:00:00 2001
From: Chris Nauroth <cnauroth@apache.org>
Date: Mon, 23 Sep 2024 21:36:48 -0700
Subject: [PATCH 864/986] [SPARK-49760][YARN] Correct handling of `SPARK_USER`
 env variable override in app master

### What changes were proposed in this pull request?

This patch corrects handling of a user-supplied `SPARK_USER` environment variable in the YARN app master. Currently, the user-supplied value gets appended to the default, like a classpath entry. The patch fixes it by using only the user-supplied value.

### Why are the changes needed?

Overriding the `SPARK_USER` environment variable in the YARN app master with configuration property `spark.yarn.appMasterEnv.SPARK_USER` currently results in an incorrect value. `Client#setupLaunchEnv` first sets a default in the environment map using the Hadoop user. After that, `YarnSparkHadoopUtil.addPathToEnvironment` sees the existing value in the map and interprets the user-supplied value as needing to be appended like a classpath entry. The end result is the Hadoop user appended with the classpath delimiter and user-supplied value, e.g. `cnauroth:overrideuser`.

### Does this PR introduce _any_ user-facing change?

Yes, the app master now uses the user-supplied `SPARK_USER` if specified. (The default is still the Hadoop user.)

### How was this patch tested?

* Existing unit tests pass.
* Added new unit tests covering default and overridden `SPARK_USER` for the app master. The override test fails without this patch, and then passes after the patch is applied.
* Manually tested in a live YARN cluster as shown below.

Manual testing used the `DFSReadWriteTest` job with overrides of `SPARK_USER`:

```
spark-submit \
    --deploy-mode cluster \
    --files all-lines.txt \
    --class org.apache.spark.examples.DFSReadWriteTest \
    --conf spark.yarn.appMasterEnv.SPARK_USER=sparkuser_appMaster \
    --conf spark.driverEnv.SPARK_USER=sparkuser_driver \
    --conf spark.executorEnv.SPARK_USER=sparkuser_executor \
    /usr/lib/spark/examples/jars/spark-examples.jar \
    all-lines.txt /tmp/DFSReadWriteTest
```

Before the patch, we can see the app master's `SPARK_USER` mishandled by looking at the `_SUCCESS` file in HDFS:

```
hdfs dfs -ls -R /tmp/DFSReadWriteTest

drwxr-xr-x   - cnauroth:sparkuser_appMaster hadoop          0 2024-09-20 23:35 /tmp/DFSReadWriteTest/dfs_read_write_test
-rw-r--r--   1 cnauroth:sparkuser_appMaster hadoop          0 2024-09-20 23:35 /tmp/DFSReadWriteTest/dfs_read_write_test/_SUCCESS
-rw-r--r--   1 sparkuser_executor                      hadoop    2295080 2024-09-20 23:35 /tmp/DFSReadWriteTest/dfs_read_write_test/part-00000
-rw-r--r--   1 sparkuser_executor                      hadoop    2288718 2024-09-20 23:35 /tmp/DFSReadWriteTest/dfs_read_write_test/part-00001
```

After the patch, we can see it working correctly:

```
hdfs dfs -ls -R /tmp/DFSReadWriteTest
drwxr-xr-x   - sparkuser_appMaster hadoop          0 2024-09-23 17:13 /tmp/DFSReadWriteTest/dfs_read_write_test
-rw-r--r--   1 sparkuser_appMaster hadoop          0 2024-09-23 17:13 /tmp/DFSReadWriteTest/dfs_read_write_test/_SUCCESS
-rw-r--r--   1 sparkuser_executor  hadoop    2295080 2024-09-23 17:13 /tmp/DFSReadWriteTest/dfs_read_write_test/part-00000
-rw-r--r--   1 sparkuser_executor  hadoop    2288718 2024-09-23 17:13 /tmp/DFSReadWriteTest/dfs_read_write_test/part-00001
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48216 from cnauroth/SPARK-49760-branch-3.5.

Authored-by: Chris Nauroth <cnauroth@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../org/apache/spark/deploy/yarn/Client.scala    |  7 +++++--
 .../apache/spark/deploy/yarn/ClientSuite.scala   | 16 ++++++++++++++++
 2 files changed, 21 insertions(+), 2 deletions(-)

diff --git a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
index 8257a08fd14e2..9c8a6dd8db069 100644
--- a/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
+++ b/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
@@ -883,14 +883,13 @@ private[spark] class Client(
   /**
    * Set up the environment for launching our ApplicationMaster container.
    */
-  private def setupLaunchEnv(
+  private[yarn] def setupLaunchEnv(
       stagingDirPath: Path,
       pySparkArchives: Seq[String]): HashMap[String, String] = {
     logInfo("Setting up the launch environment for our AM container")
     val env = new HashMap[String, String]()
     populateClasspath(args, hadoopConf, sparkConf, env, sparkConf.get(DRIVER_CLASS_PATH))
     env("SPARK_YARN_STAGING_DIR") = stagingDirPath.toString
-    env("SPARK_USER") = UserGroupInformation.getCurrentUser().getShortUserName()
     env("SPARK_PREFER_IPV6") = Utils.preferIPv6.toString
 
     // Pick up any environment variables for the AM provided through spark.yarn.appMasterEnv.*
@@ -900,6 +899,10 @@ private[spark] class Client(
       .map { case (k, v) => (k.substring(amEnvPrefix.length), v) }
       .foreach { case (k, v) => YarnSparkHadoopUtil.addPathToEnvironment(env, k, v) }
 
+    if (!env.contains("SPARK_USER")) {
+      env("SPARK_USER") = UserGroupInformation.getCurrentUser().getShortUserName()
+    }
+
     // If pyFiles contains any .py files, we need to add LOCALIZED_PYTHON_DIR to the PYTHONPATH
     // of the container processes too. Add all non-.py files directly to PYTHONPATH.
     //
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
index b7fb409ebc359..a59a0112c78dc 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/ClientSuite.scala
@@ -29,6 +29,7 @@ import scala.collection.mutable.{HashMap => MutableHashMap}
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.mapreduce.MRJobConfig
+import org.apache.hadoop.security.UserGroupInformation
 import org.apache.hadoop.yarn.api.ApplicationConstants.Environment
 import org.apache.hadoop.yarn.api.protocolrecords.{GetNewApplicationResponse, SubmitApplicationRequest}
 import org.apache.hadoop.yarn.api.records._
@@ -670,6 +671,21 @@ class ClientSuite extends SparkFunSuite
     assertUserClasspathUrls(cluster = true, replacementRootPath)
   }
 
+  test("default app master SPARK_USER") {
+    val sparkConf = new SparkConf()
+    val client = createClient(sparkConf)
+    val env = client.setupLaunchEnv(new Path("/staging/dir/path"), Seq())
+    env("SPARK_USER") should be (UserGroupInformation.getCurrentUser().getShortUserName())
+  }
+
+  test("override app master SPARK_USER") {
+    val sparkConf = new SparkConf()
+        .set("spark.yarn.appMasterEnv.SPARK_USER", "overrideuser")
+    val client = createClient(sparkConf)
+    val env = client.setupLaunchEnv(new Path("/staging/dir/path"), Seq())
+    env("SPARK_USER") should be ("overrideuser")
+  }
+
   private val matching = Seq(
     ("files URI match test1", "file:///file1", "file:///file2"),
     ("files URI match test2", "file:///c:file1", "file://c:file2"),

From b513297f661bf314bcb47033f408810b14ea39b8 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Tue, 24 Sep 2024 07:40:58 -0700
Subject: [PATCH 865/986] [SPARK-49750][DOC] Mention delegation token support
 in K8s mode

Update docs to mention delegation token support in K8s mode.

The delegation token support in K8s mode has been implemented since 3.0.0 via SPARK-23257.

Yes, docs are updated.

Review.

No.

Closes #48199 from pan3793/SPARK-49750.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit dedf5aa91827f32736ce5dae2eb123ba4e244c3b)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/security.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/security.md b/docs/security.md
index 10201e6ed5406..e6ef9ea584a1b 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -840,7 +840,7 @@ mechanism (see `java.util.ServiceLoader`). Implementations of
 `org.apache.spark.security.HadoopDelegationTokenProvider` can be made available to Spark
 by listing their names in the corresponding file in the jar's `META-INF/services` directory.
 
-Delegation token support is currently only supported in YARN and Mesos modes. Consult the
+Delegation token support is currently only supported in YARN, Kubernetes and Mesos modes. Consult the
 deployment-specific page for more information.
 
 The following options provides finer-grained control for this feature:

From f1c69a5a687fdb4e5a613fe43bbf6f6366f63fda Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Thu, 26 Sep 2024 13:39:02 -0700
Subject: [PATCH 866/986] [SPARK-49791][SQL] Make DelegatingCatalogExtension
 more extendable

### What changes were proposed in this pull request?

This PR updates `DelegatingCatalogExtension` so that it's more extendable
- `initialize` becomes not final, so that sub-classes can overwrite it
- `delegate` becomes `protected`, so that sub-classes can access it

In addition, this PR fixes a mistake that `DelegatingCatalogExtension` is just a convenient default implementation, it's actually the `CatalogExtension` interface that indicates this catalog implementation will delegate requests to the Spark session catalog. https://github.com/apache/spark/pull/47724 should use `CatalogExtension` instead.

### Why are the changes needed?

Unblock the Iceberg extension.

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #48257 from cloud-fan/catalog.

Lead-authored-by: Wenchen Fan <wenchen@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 339dd5b93316fecd0455b53b2cedee2b5333a184)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../sql/connector/catalog/DelegatingCatalogExtension.java     | 4 ++--
 .../src/main/scala/org/apache/spark/sql/DataFrameWriter.scala | 2 +-
 .../spark/sql/catalyst/analysis/ResolveSessionCatalog.scala   | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/DelegatingCatalogExtension.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/DelegatingCatalogExtension.java
index f6686d2e4d3b6..786821514822e 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/DelegatingCatalogExtension.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/DelegatingCatalogExtension.java
@@ -38,7 +38,7 @@
 @Evolving
 public abstract class DelegatingCatalogExtension implements CatalogExtension {
 
-  private CatalogPlugin delegate;
+  protected CatalogPlugin delegate;
 
   @Override
   public final void setDelegateCatalog(CatalogPlugin delegate) {
@@ -51,7 +51,7 @@ public String name() {
   }
 
   @Override
-  public final void initialize(String name, CaseInsensitiveStringMap options) {}
+  public void initialize(String name, CaseInsensitiveStringMap options) {}
 
   @Override
   public Set<TableCatalogCapability> capabilities() {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 2506cb736f18b..f1664f66b7f8c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -568,7 +568,7 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
     val canUseV2 = lookupV2Provider().isDefined || (df.sparkSession.sessionState.conf.getConf(
         SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isDefined &&
         !df.sparkSession.sessionState.catalogManager.catalog(CatalogManager.SESSION_CATALOG_NAME)
-          .isInstanceOf[DelegatingCatalogExtension])
+          .isInstanceOf[CatalogExtension])
 
     session.sessionState.sqlParser.parseMultipartIdentifier(tableName) match {
       case nameParts @ NonSessionCatalogAndIdentifier(catalog, ident) =>
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index 7500f32ac2b90..0a86a043985eb 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, toPrettySQL, ResolveDefaultColumns => DefaultCols}
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Util, DelegatingCatalogExtension, LookupCatalog, SupportsNamespaces, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogExtension, CatalogManager, CatalogPlugin, CatalogV2Util, LookupCatalog, SupportsNamespaces, V1Table}
 import org.apache.spark.sql.connector.expressions.Transform
 import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors}
 import org.apache.spark.sql.execution.command._
@@ -691,6 +691,6 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
   private def supportsV1Command(catalog: CatalogPlugin): Boolean = {
     isSessionCatalog(catalog) && (
       SQLConf.get.getConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION).isEmpty ||
-        catalog.isInstanceOf[DelegatingCatalogExtension])
+        catalog.isInstanceOf[CatalogExtension])
   }
 }

From b51db8bcf80cf070f93a05345640ca594301899d Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 26 Sep 2024 14:51:57 -0700
Subject: [PATCH 867/986] [SPARK-49791][SQL][FOLLOWUP][3.5] Fix `import`
 statement

### What changes were proposed in this pull request?

This PR is a follow-up for `branch-3.5` due to the difference of `import` statement.
- #48257

### Why are the changes needed?

To fix the compilation.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48271 from dongjoon-hyun/SPARK-49791.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../src/main/scala/org/apache/spark/sql/DataFrameWriter.scala   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index f1664f66b7f8c..4c0c750246f8c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -28,7 +28,7 @@ import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.expressions.Literal
 import org.apache.spark.sql.catalyst.plans.logical.{AppendData, CreateTableAsSelect, InsertIntoStatement, LogicalPlan, OptionList, OverwriteByExpression, OverwritePartitionsDynamic, ReplaceTableAsSelect, UnresolvedTableSpec}
 import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
-import org.apache.spark.sql.connector.catalog.{CatalogManager, CatalogPlugin, CatalogV2Implicits, CatalogV2Util, DelegatingCatalogExtension, Identifier, SupportsCatalogOptions, Table, TableCatalog, TableProvider, V1Table}
+import org.apache.spark.sql.connector.catalog.{CatalogExtension, CatalogManager, CatalogPlugin, CatalogV2Implicits, CatalogV2Util, Identifier, SupportsCatalogOptions, Table, TableCatalog, TableProvider, V1Table}
 import org.apache.spark.sql.connector.catalog.TableCapability._
 import org.apache.spark.sql.connector.catalog.TableWritePrivilege
 import org.apache.spark.sql.connector.catalog.TableWritePrivilege._

From 1040657ecbce001d7233f4607009d1bcc3fecc18 Mon Sep 17 00:00:00 2001
From: Rui Wang <rui.wang@databricks.com>
Date: Fri, 27 Sep 2024 08:26:24 +0800
Subject: [PATCH 868/986] [SPARK-49211][SQL][FOLLOW-UP] Support catalog in
 QualifiedTableName

Support catalog in QualifiedTableName and remove `FullQualifiedTableName`.

Consolidate and remove duplicate code.

No

Existing UT

No

Closes #48255 from amaliujia/qualifedtablename.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit fc9d421a2345987105aa97947c867ac80ba48a05)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/catalog/SessionCatalog.scala | 18 ++++++++--------
 .../spark/sql/catalyst/identifiers.scala      | 21 +++++++++++++++----
 .../catalog/SessionCatalogSuite.scala         |  8 +++----
 .../datasources/DataSourceStrategy.scala      |  4 ++--
 .../sql/StatisticsCollectionTestBase.scala    |  4 ++--
 .../sql/connector/DataSourceV2SQLSuite.scala  | 10 ++++-----
 .../sql/execution/command/DDLSuite.scala      |  6 +++---
 .../command/v1/TruncateTableSuite.scala       |  4 ++--
 .../spark/sql/hive/HiveMetastoreCatalog.scala | 10 ++++-----
 9 files changed, 49 insertions(+), 36 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
index 99074b859a7fa..0de9673a5f968 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
@@ -194,7 +194,7 @@ class SessionCatalog(
     }
   }
 
-  private val tableRelationCache: Cache[FullQualifiedTableName, LogicalPlan] = {
+  private val tableRelationCache: Cache[QualifiedTableName, LogicalPlan] = {
     var builder = CacheBuilder.newBuilder()
       .maximumSize(cacheSize)
 
@@ -202,33 +202,33 @@ class SessionCatalog(
       builder = builder.expireAfterWrite(cacheTTL, TimeUnit.SECONDS)
     }
 
-    builder.build[FullQualifiedTableName, LogicalPlan]()
+    builder.build[QualifiedTableName, LogicalPlan]()
   }
 
   /** This method provides a way to get a cached plan. */
-  def getCachedPlan(t: FullQualifiedTableName, c: Callable[LogicalPlan]): LogicalPlan = {
+  def getCachedPlan(t: QualifiedTableName, c: Callable[LogicalPlan]): LogicalPlan = {
     tableRelationCache.get(t, c)
   }
 
   /** This method provides a way to get a cached plan if the key exists. */
-  def getCachedTable(key: FullQualifiedTableName): LogicalPlan = {
+  def getCachedTable(key: QualifiedTableName): LogicalPlan = {
     tableRelationCache.getIfPresent(key)
   }
 
   /** This method provides a way to cache a plan. */
-  def cacheTable(t: FullQualifiedTableName, l: LogicalPlan): Unit = {
+  def cacheTable(t: QualifiedTableName, l: LogicalPlan): Unit = {
     tableRelationCache.put(t, l)
   }
 
   /** This method provides a way to invalidate a cached plan. */
-  def invalidateCachedTable(key: FullQualifiedTableName): Unit = {
+  def invalidateCachedTable(key: QualifiedTableName): Unit = {
     tableRelationCache.invalidate(key)
   }
 
   /** This method discards any cached table relation plans for the given table identifier. */
   def invalidateCachedTable(name: TableIdentifier): Unit = {
     val qualified = qualifyIdentifier(name)
-    invalidateCachedTable(FullQualifiedTableName(
+    invalidateCachedTable(QualifiedTableName(
       qualified.catalog.get, qualified.database.get, qualified.table))
   }
 
@@ -297,7 +297,7 @@ class SessionCatalog(
     }
     if (cascade && databaseExists(dbName)) {
       listTables(dbName).foreach { t =>
-        invalidateCachedTable(FullQualifiedTableName(SESSION_CATALOG_NAME, dbName, t.table))
+        invalidateCachedTable(QualifiedTableName(SESSION_CATALOG_NAME, dbName, t.table))
       }
     }
     externalCatalog.dropDatabase(dbName, ignoreIfNotExists, cascade)
@@ -1132,7 +1132,7 @@ class SessionCatalog(
   def refreshTable(name: TableIdentifier): Unit = synchronized {
     getLocalOrGlobalTempView(name).map(_.refresh).getOrElse {
       val qualifiedIdent = qualifyIdentifier(name)
-      val qualifiedTableName = FullQualifiedTableName(
+      val qualifiedTableName = QualifiedTableName(
         qualifiedIdent.catalog.get, qualifiedIdent.database.get, qualifiedIdent.table)
       tableRelationCache.invalidate(qualifiedTableName)
     }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
index cc881539002b6..ceced9313940a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/identifiers.scala
@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.catalyst
 
+import org.apache.spark.sql.connector.catalog.CatalogManager
+
 /**
  * An identifier that optionally specifies a database.
  *
@@ -107,14 +109,25 @@ case class TableIdentifier(table: String, database: Option[String], catalog: Opt
 }
 
 /** A fully qualified identifier for a table (i.e., database.tableName) */
-case class QualifiedTableName(database: String, name: String) {
-  override def toString: String = s"$database.$name"
-}
+case class QualifiedTableName(catalog: String, database: String, name: String) {
+  /** Two argument ctor for backward compatibility. */
+  def this(database: String, name: String) = this(
+    catalog = CatalogManager.SESSION_CATALOG_NAME,
+    database = database,
+    name = name)
 
-case class FullQualifiedTableName(catalog: String, database: String, name: String) {
   override def toString: String = s"$catalog.$database.$name"
 }
 
+object QualifiedTableName {
+  def apply(catalog: String, database: String, name: String): QualifiedTableName = {
+    new QualifiedTableName(catalog, database, name)
+  }
+
+  def apply(database: String, name: String): QualifiedTableName =
+    new QualifiedTableName(database = database, name = name)
+}
+
 object TableIdentifier {
   def apply(tableName: String): TableIdentifier = new TableIdentifier(tableName)
   def apply(table: String, database: Option[String]): TableIdentifier =
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
index 447a85fe4a41e..05c1c33520dac 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
@@ -22,7 +22,7 @@ import scala.concurrent.duration._
 import org.scalatest.concurrent.Eventually
 
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.{AliasIdentifier, FullQualifiedTableName, FunctionIdentifier, TableIdentifier}
+import org.apache.spark.sql.catalyst.{AliasIdentifier, FunctionIdentifier, QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
@@ -1880,7 +1880,7 @@ abstract class SessionCatalogSuite extends AnalysisTest with Eventually {
     conf.setConf(StaticSQLConf.METADATA_CACHE_TTL_SECONDS, 1L)
 
     withConfAndEmptyCatalog(conf) { catalog =>
-      val table = FullQualifiedTableName(
+      val table = QualifiedTableName(
         CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "test")
 
       // First, make sure the test table is not cached.
@@ -1900,14 +1900,14 @@ abstract class SessionCatalogSuite extends AnalysisTest with Eventually {
   test("SPARK-34197: refreshTable should not invalidate the relation cache for temporary views") {
     withBasicCatalog { catalog =>
       createTempView(catalog, "tbl1", Range(1, 10, 1, 10), false)
-      val qualifiedName1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "tbl1")
+      val qualifiedName1 = QualifiedTableName(SESSION_CATALOG_NAME, "default", "tbl1")
       catalog.cacheTable(qualifiedName1, Range(1, 10, 1, 10))
       catalog.refreshTable(TableIdentifier("tbl1"))
       assert(catalog.getCachedTable(qualifiedName1) != null)
 
       createGlobalTempView(catalog, "tbl2", Range(2, 10, 1, 10), false)
       val qualifiedName2 =
-        FullQualifiedTableName(SESSION_CATALOG_NAME, catalog.globalTempViewManager.database, "tbl2")
+        QualifiedTableName(SESSION_CATALOG_NAME, catalog.globalTempViewManager.database, "tbl2")
       catalog.cacheTable(qualifiedName2, Range(2, 10, 1, 10))
       catalog.refreshTable(TableIdentifier("tbl2", Some(catalog.globalTempViewManager.database)))
       assert(catalog.getCachedTable(qualifiedName2) != null)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
index 548a5734da06c..431480bb2edf2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
@@ -27,7 +27,7 @@ import org.apache.hadoop.fs.Path
 import org.apache.spark.internal.Logging
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.{expressions, CatalystTypeConverters, FullQualifiedTableName, InternalRow, SQLConfHelper}
+import org.apache.spark.sql.catalyst.{expressions, CatalystTypeConverters, InternalRow, QualifiedTableName, SQLConfHelper}
 import org.apache.spark.sql.catalyst.CatalystTypeConverters.convertToScala
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.catalog._
@@ -242,7 +242,7 @@ class FindDataSourceTable(sparkSession: SparkSession) extends Rule[LogicalPlan]
   private def readDataSourceTable(
       table: CatalogTable, extraOptions: CaseInsensitiveStringMap): LogicalPlan = {
     val qualifiedTableName =
-      FullQualifiedTableName(table.identifier.catalog.get, table.database, table.identifier.table)
+      QualifiedTableName(table.identifier.catalog.get, table.database, table.identifier.table)
     val catalog = sparkSession.sessionState.catalog
     val dsOptions = DataSourceUtils.generateDatasourceOptions(extraOptions, table)
     catalog.getCachedPlan(qualifiedTableName, () => {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala b/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
index 2e237a9b9ea11..4468edc483735 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/StatisticsCollectionTestBase.scala
@@ -25,7 +25,7 @@ import java.time.LocalDateTime
 import scala.collection.mutable
 import scala.util.Random
 
-import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.catalog.{CatalogColumnStat, CatalogStatistics, CatalogTable, HiveTableRelation}
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions.AttributeMap
@@ -270,7 +270,7 @@ abstract class StatisticsCollectionTestBase extends QueryTest with SQLTestUtils
 
   def getTableFromCatalogCache(tableName: String): LogicalPlan = {
     val catalog = spark.sessionState.catalog
-    val qualifiedTableName = FullQualifiedTableName(
+    val qualifiedTableName = QualifiedTableName(
       CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, tableName)
     catalog.getCachedTable(qualifiedTableName)
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index f60e81d3a4c6f..9df4b0932f25d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -27,7 +27,7 @@ import scala.concurrent.duration.MICROSECONDS
 
 import org.apache.spark.{SparkException, SparkUnsupportedOperationException}
 import org.apache.spark.sql._
-import org.apache.spark.sql.catalyst.{FullQualifiedTableName, InternalRow, TableIdentifier}
+import org.apache.spark.sql.catalyst.{InternalRow, QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.{CannotReplaceMissingTableException, NoSuchDatabaseException, NoSuchNamespaceException, TableAlreadyExistsException}
 import org.apache.spark.sql.catalyst.catalog.{CatalogStorageFormat, CatalogTable, CatalogTableType, CatalogUtils}
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -3404,7 +3404,7 @@ class DataSourceV2SQLSuiteV1Filter
 
     // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
     // configure a new implementation.
-    val table1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
+    val table1 = QualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
     spark.sessionState.catalogManager.reset()
     withSQLConf(
       V2_SESSION_CATALOG_IMPLEMENTATION.key ->
@@ -3413,7 +3413,7 @@ class DataSourceV2SQLSuiteV1Filter
         checkParquet(table1.toString, path.getAbsolutePath)
       }
     }
-    val table2 = FullQualifiedTableName("testcat3", "default", "t")
+    val table2 = QualifiedTableName("testcat3", "default", "t")
     withSQLConf(
       "spark.sql.catalog.testcat3" -> classOf[V2CatalogSupportBuiltinDataSource].getName) {
       withTempPath { path =>
@@ -3432,7 +3432,7 @@ class DataSourceV2SQLSuiteV1Filter
     // Reset CatalogManager to clear the materialized `spark_catalog` instance, so that we can
     // configure a new implementation.
     spark.sessionState.catalogManager.reset()
-    val table1 = FullQualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
+    val table1 = QualifiedTableName(SESSION_CATALOG_NAME, "default", "t")
     withSQLConf(
       V2_SESSION_CATALOG_IMPLEMENTATION.key ->
         classOf[V2CatalogSupportBuiltinDataSource].getName) {
@@ -3441,7 +3441,7 @@ class DataSourceV2SQLSuiteV1Filter
       }
     }
 
-    val table2 = FullQualifiedTableName("testcat3", "default", "t")
+    val table2 = QualifiedTableName("testcat3", "default", "t")
     withSQLConf(
       "spark.sql.catalog.testcat3" -> classOf[V2CatalogSupportBuiltinDataSource].getName) {
       withTempPath { path =>
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
index 0466781c119aa..1124184dded7a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
@@ -27,7 +27,7 @@ import org.apache.hadoop.fs.permission.{AclEntry, AclStatus}
 import org.apache.spark.{SparkClassNotFoundException, SparkException, SparkFiles, SparkRuntimeException}
 import org.apache.spark.internal.config
 import org.apache.spark.sql.{AnalysisException, QueryTest, Row, SaveMode}
-import org.apache.spark.sql.catalyst.{FullQualifiedTableName, FunctionIdentifier, TableIdentifier}
+import org.apache.spark.sql.catalyst.{FunctionIdentifier, QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.analysis.TempTableAlreadyExistsException
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
@@ -220,7 +220,7 @@ class InMemoryCatalogedDDLSuite extends DDLSuite with SharedSparkSession {
   test("SPARK-25403 refresh the table after inserting data") {
     withTable("t") {
       val catalog = spark.sessionState.catalog
-      val table = FullQualifiedTableName(
+      val table = QualifiedTableName(
         CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "t")
       sql("CREATE TABLE t (a INT) USING parquet")
       sql("INSERT INTO TABLE t VALUES (1)")
@@ -234,7 +234,7 @@ class InMemoryCatalogedDDLSuite extends DDLSuite with SharedSparkSession {
     withTable("t") {
       withTempDir { dir =>
         val catalog = spark.sessionState.catalog
-        val table = FullQualifiedTableName(
+        val table = QualifiedTableName(
           CatalogManager.SESSION_CATALOG_NAME, catalog.getCurrentDatabase, "t")
         val p1 = s"${dir.getCanonicalPath}/p1"
         val p2 = s"${dir.getCanonicalPath}/p2"
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
index 5810a35ddcf8b..747a378275019 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/v1/TruncateTableSuite.scala
@@ -23,7 +23,7 @@ import org.apache.hadoop.fs.Path
 import org.apache.hadoop.fs.permission.{AclEntry, AclEntryScope, AclEntryType, FsAction, FsPermission}
 
 import org.apache.spark.sql.{AnalysisException, Row}
-import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.connector.catalog.CatalogManager
 import org.apache.spark.sql.execution.command
 import org.apache.spark.sql.execution.command.FakeLocalFsFileSystem
@@ -148,7 +148,7 @@ trait TruncateTableSuiteBase extends command.TruncateTableSuiteBase {
 
           val catalog = spark.sessionState.catalog
           val qualifiedTableName =
-            FullQualifiedTableName(CatalogManager.SESSION_CATALOG_NAME, "ns", "tbl")
+            QualifiedTableName(CatalogManager.SESSION_CATALOG_NAME, "ns", "tbl")
           val cachedPlan = catalog.getCachedTable(qualifiedTableName)
           assert(cachedPlan.stats.sizeInBytes == 0)
         }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
index 00536135a1b1b..54b9db967d2dd 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
@@ -27,7 +27,7 @@ import org.apache.hadoop.fs.Path
 import org.apache.spark.SparkException
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{AnalysisException, SparkSession}
-import org.apache.spark.sql.catalyst.{FullQualifiedTableName, TableIdentifier}
+import org.apache.spark.sql.catalyst.{QualifiedTableName, TableIdentifier}
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
@@ -55,7 +55,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
   private val tableCreationLocks = Striped.lazyWeakLock(100)
 
   /** Acquires a lock on the table cache for the duration of `f`. */
-  private def withTableCreationLock[A](tableName: FullQualifiedTableName, f: => A): A = {
+  private def withTableCreationLock[A](tableName: QualifiedTableName, f: => A): A = {
     val lock = tableCreationLocks.get(tableName)
     lock.lock()
     try f finally {
@@ -65,7 +65,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
 
   // For testing only
   private[hive] def getCachedDataSourceTable(table: TableIdentifier): LogicalPlan = {
-    val key = FullQualifiedTableName(
+    val key = QualifiedTableName(
       // scalastyle:off caselocale
       table.catalog.getOrElse(CatalogManager.SESSION_CATALOG_NAME).toLowerCase,
       table.database.getOrElse(sessionState.catalog.getCurrentDatabase).toLowerCase,
@@ -75,7 +75,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
   }
 
   private def getCached(
-      tableIdentifier: FullQualifiedTableName,
+      tableIdentifier: QualifiedTableName,
       pathsInMetastore: Seq[Path],
       schemaInMetastore: StructType,
       expectedFileFormat: Class[_ <: FileFormat],
@@ -193,7 +193,7 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
       fileType: String,
       isWrite: Boolean): LogicalRelation = {
     val metastoreSchema = relation.tableMeta.schema
-    val tableIdentifier = FullQualifiedTableName(relation.tableMeta.identifier.catalog.get,
+    val tableIdentifier = QualifiedTableName(relation.tableMeta.identifier.catalog.get,
       relation.tableMeta.database, relation.tableMeta.identifier.table)
 
     val lazyPruningEnabled = sparkSession.sqlContext.conf.manageFilesourcePartitions

From 50c1783a1f97e336c8560fc03ef85ec7319672ea Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 26 Sep 2024 17:32:29 -0700
Subject: [PATCH 869/986] [SPARK-49803][SQL][TESTS] Increase
 `spark.test.docker.connectionTimeout` to 10min

This PR aims to increase `spark.test.docker.connectionTimeout` to 10min.

Recently, various DB images fails at `connection` stage on multiple branches.

**MASTER** branch
https://github.com/apache/spark/actions/runs/11045311764/job/30682732260

```
[info] OracleIntegrationSuite:
[info] org.apache.spark.sql.jdbc.OracleIntegrationSuite *** ABORTED *** (5 minutes, 17 seconds)
[info]   The code passed to eventually never returned normally. Attempted 298 times over 5.0045005511500005 minutes. Last failure message: ORA-12541: Cannot connect. No listener at host 10.1.0.41 port 41079. (CONNECTION_ID=n9ZWIh+nQn+G9fkwKyoBQA==)
```

**branch-3.5** branch
https://github.com/apache/spark/actions/runs/10939696926/job/30370552237

```
[info] MsSqlServerNamespaceSuite:
[info] org.apache.spark.sql.jdbc.v2.MsSqlServerNamespaceSuite *** ABORTED *** (5 minutes, 42 seconds)
[info]   The code passed to eventually never returned normally. Attempted 11 times over 5.487631282400001 minutes. Last failure message: The TCP/IP connection to the host 10.1.0.56, port 35345 has failed. Error: "Connection refused (Connection refused). Verify the connection properties. Make sure that an instance of SQL Server is running on the host and accepting TCP/IP connections at the port. Make sure that TCP connections to the port are not blocked by a firewall.".. (DockerJDBCIntegrationSuite.scala:166)
```

**branch-3.4** branch
https://github.com/apache/spark/actions/runs/10937842509/job/30364658576

```
[info] MsSqlServerNamespaceSuite:
[info] org.apache.spark.sql.jdbc.v2.MsSqlServerNamespaceSuite *** ABORTED *** (5 minutes, 42 seconds)
[info]   The code passed to eventually never returned normally. Attempted 11 times over 5.487555645633333 minutes. Last failure message: The TCP/IP connection to the host 10.1.0.153, port 46153 has failed. Error: "Connection refused (Connection refused). Verify the connection properties. Make sure that an instance of SQL Server is running on the host and accepting TCP/IP connections at the port. Make sure that TCP connections to the port are not blocked by a firewall.".. (DockerJDBCIntegrationSuite.scala:166)
```

No, this is a test-only change.

Pass the CIs.

No.

Closes #48272 from dongjoon-hyun/SPARK-49803.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 09b7aa67ce64d7d4ecc803215eaf85464df181c5)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
index 40e8cbb6546b5..55142e6d8de8b 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
@@ -97,7 +97,7 @@ abstract class DockerJDBCIntegrationSuite
 
   protected val dockerIp = DockerUtils.getDockerIp()
   val db: DatabaseOnDocker
-  val connectionTimeout = timeout(5.minutes)
+  val connectionTimeout = timeout(10.minutes)
   val keepContainer =
     sys.props.getOrElse("spark.test.docker.keepContainer", "false").toBoolean
   val removePulledImage =

From be254c5296427a7e11ac9342f25c31dfb5985018 Mon Sep 17 00:00:00 2001
From: "oleksii.diagiliev" <oleksii.diagiliev@workday.com>
Date: Thu, 26 Sep 2024 21:59:12 -0700
Subject: [PATCH 870/986] [SPARK-49804][K8S] Fix to use the exit code of
 executor container always

### What changes were proposed in this pull request?

When deploying Spark pods on Kubernetes with sidecars, the reported executor's exit code may be incorrect.
For example, the reported executor's exit code is 0(success), but the actual is 52 (OOM).
```
2024-09-25 02:35:29,383 ERROR TaskSchedulerImpl.logExecutorLoss - Lost executor 1 on XXXXX: The executor with
 id 1 exited with exit code 0(success).

The API gave the following container statuses:

     container name: fluentd
     container image: docker-images-release.XXXXX.com/XXXXX/fluentd:XXXXX
     container state: terminated
     container started at: 2024-09-25T02:32:17Z
     container finished at: 2024-09-25T02:34:52Z
     exit code: 0
     termination reason: Completed

     container name: istio-proxy
     container image: docker-images-release.XXXXX.com/XXXXX-istio/proxyv2:XXXXX
     container state: running
     container started at: 2024-09-25T02:32:16Z

     container name: spark-kubernetes-executor
     container image: docker-dev-artifactory.XXXXX.com/XXXXX/spark-XXXXX:XXXXX
     container state: terminated
     container started at: 2024-09-25T02:32:17Z
     container finished at: 2024-09-25T02:35:28Z
     exit code: 52
     termination reason: Error
```
The `ExecutorPodsLifecycleManager.findExitCode()` looks for any terminated container and may choose the sidecar instead of the main executor container. I'm changing it to look for the executor container always.
Note, it may happen that the pod fails because of the failure of the sidecar container while executor's container is still running, with my changes the reported exit code will be -1 (`UNKNOWN_EXIT_CODE`).

### Why are the changes needed?

To correctly report executor failure reason on UI, in the logs and for the event listeners `SparkListener.onExecutorRemoved()`

### Does this PR introduce _any_ user-facing change?

Yes, the executor's exit code is taken from the main container instead of the sidecar.

### How was this patch tested?

Added unit test and tested manually on the Kubernetes cluster by simulating different types of executor failure (JVM OOM and container eviction due to disk pressure on the node).

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #48275 from fe2s/SPARK-49804-fix-exit-code.

Lead-authored-by: oleksii.diagiliev <oleksii.diagiliev@workday.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5d701f2d5add05b7af3889d6b87a192c11872298)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../k8s/ExecutorPodsLifecycleManager.scala    |  6 ++-
 .../k8s/ExecutorLifecycleTestUtils.scala      | 37 ++++++++++++++++++-
 .../ExecutorPodsLifecycleManagerSuite.scala   | 14 ++++++-
 3 files changed, 53 insertions(+), 4 deletions(-)

diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManager.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManager.scala
index 5d91070bcab20..5b645e6e97508 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManager.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManager.scala
@@ -61,6 +61,9 @@ private[spark] class ExecutorPodsLifecycleManager(
 
   private val namespace = conf.get(KUBERNETES_NAMESPACE)
 
+  private val sparkContainerName = conf.get(KUBERNETES_EXECUTOR_PODTEMPLATE_CONTAINER_NAME)
+    .getOrElse(DEFAULT_EXECUTOR_CONTAINER_NAME)
+
   def start(schedulerBackend: KubernetesClusterSchedulerBackend): Unit = {
     val eventProcessingInterval = conf.get(KUBERNETES_EXECUTOR_EVENT_PROCESSING_INTERVAL)
     snapshotsStore.addSubscriber(eventProcessingInterval) {
@@ -240,7 +243,8 @@ private[spark] class ExecutorPodsLifecycleManager(
 
   private def findExitCode(podState: FinalPodState): Int = {
     podState.pod.getStatus.getContainerStatuses.asScala.find { containerStatus =>
-      containerStatus.getState.getTerminated != null
+      containerStatus.getName == sparkContainerName &&
+        containerStatus.getState.getTerminated != null
     }.map { terminatedContainer =>
       terminatedContainer.getState.getTerminated.getExitCode.toInt
     }.getOrElse(UNKNOWN_EXIT_CODE)
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorLifecycleTestUtils.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorLifecycleTestUtils.scala
index de9da0de7da2f..c19955424c052 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorLifecycleTestUtils.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorLifecycleTestUtils.scala
@@ -29,6 +29,7 @@ import org.apache.spark.resource.ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID
 object ExecutorLifecycleTestUtils {
 
   val TEST_SPARK_APP_ID = "spark-app-id"
+  val TEST_SPARK_EXECUTOR_CONTAINER_NAME = "spark-executor"
 
   def failedExecutorWithoutDeletion(
       executorId: Long, rpId: Int = DEFAULT_RESOURCE_PROFILE_ID): Pod = {
@@ -37,7 +38,7 @@ object ExecutorLifecycleTestUtils {
         .withPhase("failed")
         .withStartTime(Instant.now.toString)
         .addNewContainerStatus()
-          .withName("spark-executor")
+          .withName(TEST_SPARK_EXECUTOR_CONTAINER_NAME)
           .withImage("k8s-spark")
           .withNewState()
             .withNewTerminated()
@@ -49,6 +50,38 @@ object ExecutorLifecycleTestUtils {
         .addNewContainerStatus()
           .withName("spark-executor-sidecar")
           .withImage("k8s-spark-sidecar")
+          .withNewState()
+            .withNewTerminated()
+              .withMessage("Failed")
+              .withExitCode(2)
+              .endTerminated()
+            .endState()
+          .endContainerStatus()
+        .withMessage("Executor failed.")
+        .withReason("Executor failed because of a thrown error.")
+        .endStatus()
+      .build()
+  }
+
+  def failedExecutorWithSidecarStatusListedFirst(
+      executorId: Long, rpId: Int = DEFAULT_RESOURCE_PROFILE_ID): Pod = {
+    new PodBuilder(podWithAttachedContainerForId(executorId, rpId))
+      .editOrNewStatus()
+        .withPhase("failed")
+        .withStartTime(Instant.now.toString)
+        .addNewContainerStatus() // sidecar status listed before executor's container status
+          .withName("spark-executor-sidecar")
+          .withImage("k8s-spark-sidecar")
+          .withNewState()
+            .withNewTerminated()
+              .withMessage("Failed")
+              .withExitCode(2)
+              .endTerminated()
+            .endState()
+          .endContainerStatus()
+        .addNewContainerStatus()
+          .withName(TEST_SPARK_EXECUTOR_CONTAINER_NAME)
+          .withImage("k8s-spark")
           .withNewState()
             .withNewTerminated()
               .withMessage("Failed")
@@ -200,7 +233,7 @@ object ExecutorLifecycleTestUtils {
       .endSpec()
       .build()
     val container = new ContainerBuilder()
-      .withName("spark-executor")
+      .withName(TEST_SPARK_EXECUTOR_CONTAINER_NAME)
       .withImage("k8s-spark")
       .build()
     SparkPod(pod, container)
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManagerSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManagerSuite.scala
index c34938caeca70..972cd79088dfc 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManagerSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsLifecycleManagerSuite.scala
@@ -33,6 +33,7 @@ import org.scalatest.BeforeAndAfter
 
 import org.apache.spark.{SparkConf, SparkFunSuite}
 import org.apache.spark.deploy.k8s.Config
+import org.apache.spark.deploy.k8s.Config._
 import org.apache.spark.deploy.k8s.Constants._
 import org.apache.spark.deploy.k8s.Fabric8Aliases._
 import org.apache.spark.deploy.k8s.KubernetesUtils._
@@ -60,6 +61,8 @@ class ExecutorPodsLifecycleManagerSuite extends SparkFunSuite with BeforeAndAfte
 
   before {
     MockitoAnnotations.openMocks(this).close()
+    val sparkConf = new SparkConf()
+      .set(KUBERNETES_EXECUTOR_PODTEMPLATE_CONTAINER_NAME, TEST_SPARK_EXECUTOR_CONTAINER_NAME)
     snapshotsStore = new DeterministicExecutorPodsSnapshotsStore()
     namedExecutorPods = mutable.Map.empty[String, PodResource]
     when(schedulerBackend.getExecutorsWithRegistrationTs()).thenReturn(Map.empty[String, Long])
@@ -67,7 +70,7 @@ class ExecutorPodsLifecycleManagerSuite extends SparkFunSuite with BeforeAndAfte
     when(podOperations.inNamespace(anyString())).thenReturn(podsWithNamespace)
     when(podsWithNamespace.withName(any(classOf[String]))).thenAnswer(namedPodsAnswer())
     eventHandlerUnderTest = new ExecutorPodsLifecycleManager(
-      new SparkConf(),
+      sparkConf,
       kubernetesClient,
       snapshotsStore)
     eventHandlerUnderTest.start(schedulerBackend)
@@ -136,6 +139,15 @@ class ExecutorPodsLifecycleManagerSuite extends SparkFunSuite with BeforeAndAfte
       .edit(any[UnaryOperator[Pod]]())
   }
 
+  test("SPARK-49804: Use the exit code of executor container always") {
+    val failedPod = failedExecutorWithSidecarStatusListedFirst(1)
+    snapshotsStore.updatePod(failedPod)
+    snapshotsStore.notifySubscribers()
+    val msg = exitReasonMessage(1, failedPod, 1)
+    val expectedLossReason = ExecutorExited(1, exitCausedByApp = true, msg)
+    verify(schedulerBackend).doRemoveExecutor("1", expectedLossReason)
+  }
+
   private def exitReasonMessage(execId: Int, failedPod: Pod, exitCode: Int): String = {
     val reason = Option(failedPod.getStatus.getReason)
     val message = Option(failedPod.getStatus.getMessage)

From f888d57368012af552965f91c548277365f3c369 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 27 Sep 2024 15:42:00 -0700
Subject: [PATCH 871/986] [SPARK-46525][SQL][TESTS][3.5] Fix
 `docker-integration-tests` on Apple Silicon
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This is a merged backport of SPARK-46525 with the original authorship, yaooqinn .
- #44509
- #44612
- #45303

`com.spotify.docker.client` is not going to support Apple Silicons as it has already been archived and the [jnr-unixsocket](https://mvnrepository.com/artifact/com.github.jnr/jnr-unixsocket) 0.18 it uses is not compatible with Apple Silicons.

If we run our docker IT tests on Apple Silicons, it will fail like

```java
[info] org.apache.spark.sql.jdbc.MariaDBKrbIntegrationSuite *** ABORTED *** (2 seconds, 264 milliseconds)
[info]   com.spotify.docker.client.exceptions.DockerException: java.util.concurrent.ExecutionException:
com.spotify.docker.client.shaded.javax.ws.rs.ProcessingException:
java.lang.UnsatisfiedLinkError: could not load FFI provider jnr.ffi.provider.jffi.Provider
...
[info]   Cause: java.lang.IllegalStateException: Can't overwrite cause with java.lang.UnsatisfiedLinkError:
java.lang.UnsatisfiedLinkError: /Users/hzyaoqin/spark/target/tmp/jffi15403099445119552969.dylib:
dlopen(/Users/hzyaoqin/spark/target/tmp/jffi15403099445119552969.dylib, 0x0001): tried:
'/Users/hzyaoqin/spark/target/tmp/jffi15403099445119552969.dylib' (fat file, but missing compatible architecture (have 'i386,x86_64', need 'arm64')),
'/System/Volumes/Preboot/Cryptexes/OS/Users/hzyaoqin/spark/target/tmp/jffi15403099445119552969.dylib' (no such file), '/Users/hzyaoqin/spark/target/tmp/jffi15403099445119552969.dylib' (fat file, but missing compatible architecture (have 'i386,x86_64', need 'arm64'))
```

In this PR, we use its alternative to enable docker-related tests on Apple Chips

```xml
    <dependency>
      <groupId>com.github.docker-java</groupId>
      <artifactId>docker-java</artifactId>
      <scope>test</scope>
    </dependency>
```

### Why are the changes needed?

For developers who use Apple Silicons, w/ this patch, they can test JDBC/Docker Integration test locally instead of suffering slowness from GitHub actions.

### Does this PR introduce _any_ user-facing change?

No, dev only

### How was this patch tested?

Pass the CIs and do the manual test on Apple Silicon.
```
$ build/sbt -Pdocker-integration-tests 'docker-integration-tests/testOnly org.apache.spark.sql.jdbc.*MariaDB*'
...
[info] All tests passed.
[success] Total time: 157 s (02:37), completed Sep 27, 2024, 2:45:16 PM

$ build/sbt -Pdocker-integration-tests 'docker-integration-tests/testOnly org.apache.spark.sql.jdbc.*MySQL*'
...
[info] All tests passed.
[success] Total time: 109 s (01:49), completed Sep 27, 2024, 2:48:47 PM
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48289 from dongjoon-hyun/SPARK-46525.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 connector/docker-integration-tests/pom.xml    |  34 ++---
 .../sql/jdbc/DB2KrbIntegrationSuite.scala     |  15 +-
 .../sql/jdbc/DockerJDBCIntegrationSuite.scala | 131 ++++++++++--------
 .../sql/jdbc/MariaDBKrbIntegrationSuite.scala |  18 +--
 .../jdbc/PostgresKrbIntegrationSuite.scala    |  16 +--
 pom.xml                                       |  25 ++--
 project/SparkBuild.scala                      |   3 +-
 7 files changed, 130 insertions(+), 112 deletions(-)

diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index d655d1a552814..19377b36a612f 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -46,22 +46,6 @@
   </repositories>
 
   <dependencies>
-    <dependency>
-      <groupId>com.spotify</groupId>
-      <artifactId>docker-client</artifactId>
-      <scope>test</scope>
-      <classifier>shaded</classifier>
-    </dependency>
-    <dependency>
-      <groupId>org.apache.httpcomponents</groupId>
-      <artifactId>httpclient</artifactId>
-      <scope>test</scope>
-    </dependency>
-    <dependency>
-      <groupId>org.apache.httpcomponents</groupId>
-      <artifactId>httpcore</artifactId>
-      <scope>test</scope>
-    </dependency>
     <!-- Necessary in order to avoid errors in log messages: -->
     <dependency>
       <groupId>com.google.guava</groupId>
@@ -112,14 +96,6 @@
       <artifactId>hadoop-minikdc</artifactId>
       <scope>test</scope>
     </dependency>
-    <!-- Although SPARK-28737 upgraded Jersey to 2.29 for JDK11, 'com.spotify.docker-client' still
-      uses this repackaged 'jersey-guava'. We add this back for JDK8/JDK11 testing. -->
-    <dependency>
-      <groupId>org.glassfish.jersey.bundles.repackaged</groupId>
-      <artifactId>jersey-guava</artifactId>
-      <version>2.25.1</version>
-      <scope>test</scope>
-    </dependency>
     <dependency>
       <groupId>org.mariadb.jdbc</groupId>
       <artifactId>mariadb-java-client</artifactId>
@@ -167,5 +143,15 @@
       <artifactId>mysql-connector-j</artifactId>
       <scope>test</scope>
     </dependency>
+    <dependency>
+      <groupId>com.github.docker-java</groupId>
+      <artifactId>docker-java</artifactId>
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>com.github.docker-java</groupId>
+      <artifactId>docker-java-transport-zerodep</artifactId>
+      <scope>test</scope>
+    </dependency>
   </dependencies>
 </project>
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DB2KrbIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DB2KrbIntegrationSuite.scala
index 9b518d61d252f..66e2afbb6effd 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DB2KrbIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DB2KrbIntegrationSuite.scala
@@ -21,7 +21,7 @@ import java.security.PrivilegedExceptionAction
 import java.sql.Connection
 import javax.security.auth.login.Configuration
 
-import com.spotify.docker.client.messages.{ContainerConfig, HostConfig}
+import com.github.dockerjava.api.model.{AccessMode, Bind, ContainerConfig, HostConfig, Volume}
 import org.apache.hadoop.security.{SecurityUtil, UserGroupInformation}
 import org.apache.hadoop.security.UserGroupInformation.AuthenticationMethod.KERBEROS
 import org.scalatest.time.SpanSugar._
@@ -66,14 +66,15 @@ class DB2KrbIntegrationSuite extends DockerKrbJDBCIntegrationSuite {
     }
 
     override def beforeContainerStart(
-        hostConfigBuilder: HostConfig.Builder,
-        containerConfigBuilder: ContainerConfig.Builder): Unit = {
+        hostConfigBuilder: HostConfig,
+        containerConfigBuilder: ContainerConfig): Unit = {
       copyExecutableResource("db2_krb_setup.sh", initDbDir, replaceIp)
 
-      hostConfigBuilder.appendBinds(
-        HostConfig.Bind.from(initDbDir.getAbsolutePath)
-          .to("/var/custom").readOnly(true).build()
-      )
+      val newBind = new Bind(
+        initDbDir.getAbsolutePath,
+        new Volume("/var/custom"),
+        AccessMode.ro)
+      hostConfigBuilder.withBinds(hostConfigBuilder.getBinds :+ newBind: _*)
     }
   }
 
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
index 55142e6d8de8b..837382239514a 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/DockerJDBCIntegrationSuite.scala
@@ -20,14 +20,18 @@ package org.apache.spark.sql.jdbc
 import java.net.ServerSocket
 import java.sql.{Connection, DriverManager}
 import java.util.Properties
+import java.util.concurrent.TimeUnit
 
 import scala.collection.JavaConverters._
 import scala.util.control.NonFatal
 
-import com.spotify.docker.client._
-import com.spotify.docker.client.DockerClient.{ListContainersParam, LogsParam}
-import com.spotify.docker.client.exceptions.ImageNotFoundException
-import com.spotify.docker.client.messages.{ContainerConfig, HostConfig, PortBinding}
+import com.github.dockerjava.api.DockerClient
+import com.github.dockerjava.api.async.{ResultCallback, ResultCallbackTemplate}
+import com.github.dockerjava.api.command.CreateContainerResponse
+import com.github.dockerjava.api.exception.NotFoundException
+import com.github.dockerjava.api.model._
+import com.github.dockerjava.core.{DefaultDockerClientConfig, DockerClientImpl}
+import com.github.dockerjava.zerodep.ZerodepDockerHttpClient
 import org.scalatest.concurrent.Eventually
 import org.scalatest.time.SpanSugar._
 
@@ -88,8 +92,8 @@ abstract class DatabaseOnDocker {
    * Optional step before container starts
    */
   def beforeContainerStart(
-      hostConfigBuilder: HostConfig.Builder,
-      containerConfigBuilder: ContainerConfig.Builder): Unit = {}
+      hostConfigBuilder: HostConfig,
+      containerConfigBuilder: ContainerConfig): Unit = {}
 }
 
 abstract class DockerJDBCIntegrationSuite
@@ -111,56 +115,75 @@ abstract class DockerJDBCIntegrationSuite
     sock.close()
     port
   }
-  private var containerId: String = _
+  private var container: CreateContainerResponse = _
   private var pulled: Boolean = false
   protected var jdbcUrl: String = _
 
   override def beforeAll(): Unit = runIfTestsEnabled(s"Prepare for ${this.getClass.getName}") {
     super.beforeAll()
     try {
-      docker = DefaultDockerClient.fromEnv.build()
+      val config = DefaultDockerClientConfig.createDefaultConfigBuilder.build
+      val httpClient = new ZerodepDockerHttpClient.Builder()
+        .dockerHost(config.getDockerHost)
+        .sslConfig(config.getSSLConfig)
+        .build()
+      docker = DockerClientImpl.getInstance(config, httpClient)
       // Check that Docker is actually up
       try {
-        docker.ping()
+        docker.pingCmd().exec()
       } catch {
         case NonFatal(e) =>
           log.error("Exception while connecting to Docker. Check whether Docker is running.")
           throw e
       }
-      // Ensure that the Docker image is installed:
       try {
-        docker.inspectImage(db.imageName)
+        // Ensure that the Docker image is installed:
+        docker.inspectImageCmd(db.imageName).exec()
       } catch {
-        case e: ImageNotFoundException =>
+        case e: NotFoundException =>
           log.warn(s"Docker image ${db.imageName} not found; pulling image from registry")
-          docker.pull(db.imageName)
+          docker.pullImageCmd(db.imageName)
+            .start()
+            .awaitCompletion(connectionTimeout.value.toSeconds, TimeUnit.SECONDS)
           pulled = true
       }
-      val hostConfigBuilder = HostConfig.builder()
-        .privileged(db.privileged)
-        .networkMode("bridge")
-        .ipcMode(if (db.usesIpc) "host" else "")
-        .portBindings(
-          Map(s"${db.jdbcPort}/tcp" -> List(PortBinding.of(dockerIp, externalPort)).asJava).asJava)
-      // Create the database container:
-      val containerConfigBuilder = ContainerConfig.builder()
-        .image(db.imageName)
-        .networkDisabled(false)
-        .env(db.env.map { case (k, v) => s"$k=$v" }.toSeq.asJava)
-        .exposedPorts(s"${db.jdbcPort}/tcp")
-      if (db.getEntryPoint.isDefined) {
-        containerConfigBuilder.entrypoint(db.getEntryPoint.get)
-      }
-      if (db.getStartupProcessName.isDefined) {
-        containerConfigBuilder.cmd(db.getStartupProcessName.get)
+
+      docker.pullImageCmd(db.imageName)
+        .start()
+        .awaitCompletion(connectionTimeout.value.toSeconds, TimeUnit.SECONDS)
+
+      val hostConfig = HostConfig
+        .newHostConfig()
+        .withNetworkMode("bridge")
+        .withPrivileged(db.privileged)
+        .withPortBindings(PortBinding.parse(s"$externalPort:${db.jdbcPort}"))
+
+      if (db.usesIpc) {
+        hostConfig.withIpcMode("host")
       }
-      db.beforeContainerStart(hostConfigBuilder, containerConfigBuilder)
-      containerConfigBuilder.hostConfig(hostConfigBuilder.build())
-      val config = containerConfigBuilder.build()
+
+      val containerConfig = new ContainerConfig()
+
+      db.beforeContainerStart(hostConfig, containerConfig)
+
       // Create the database container:
-      containerId = docker.createContainer(config).id
+      val createContainerCmd = docker.createContainerCmd(db.imageName)
+        .withHostConfig(hostConfig)
+        .withExposedPorts(ExposedPort.tcp(db.jdbcPort))
+        .withEnv(db.env.map { case (k, v) => s"$k=$v" }.toList.asJava)
+        .withNetworkDisabled(false)
+
+
+      db.getEntryPoint.foreach(ep => createContainerCmd.withEntrypoint(ep))
+      db.getStartupProcessName.foreach(n => createContainerCmd.withCmd(n))
+
+      container = createContainerCmd.exec()
       // Start the container and wait until the database can accept JDBC connections:
-      docker.startContainer(containerId)
+      docker.startContainerCmd(container.getId).exec()
+      eventually(connectionTimeout, interval(1.second)) {
+        val response = docker.inspectContainerCmd(container.getId).exec()
+        assert(response.getState.getRunning)
+      }
       jdbcUrl = db.getJdbcUrl(dockerIp, externalPort)
       var conn: Connection = null
       eventually(connectionTimeout, interval(1.second)) {
@@ -174,6 +197,7 @@ abstract class DockerJDBCIntegrationSuite
       }
     } catch {
       case NonFatal(e) =>
+        logError(s"Failed to initialize Docker container for ${this.getClass.getName}", e)
         try {
           afterAll()
         } finally {
@@ -206,36 +230,35 @@ abstract class DockerJDBCIntegrationSuite
   def dataPreparation(connection: Connection): Unit
 
   private def cleanupContainer(): Unit = {
-    if (docker != null && containerId != null && !keepContainer) {
+    if (docker != null && container != null && !keepContainer) {
       try {
-        docker.killContainer(containerId)
+        docker.killContainerCmd(container.getId).exec()
       } catch {
         case NonFatal(e) =>
-          val exitContainerIds =
-            docker.listContainers(ListContainersParam.withStatusExited()).asScala.map(_.id())
-          if (exitContainerIds.contains(containerId)) {
-            logWarning(s"Container $containerId already stopped")
-          } else {
-            logWarning(s"Could not stop container $containerId", e)
-          }
+          val response = docker.inspectContainerCmd(container.getId).exec()
+          logWarning(s"Container $container already stopped")
+          val status = Option(response).map(_.getState.getStatus).getOrElse("unknown")
+          logWarning(s"Could not stop container $container at stage '$status'", e)
       } finally {
         logContainerOutput()
-        docker.removeContainer(containerId)
+        docker.removeContainerCmd(container.getId).exec()
         if (removePulledImage && pulled) {
-          docker.removeImage(db.imageName)
+          docker.removeImageCmd(db.imageName).exec()
         }
       }
     }
   }
 
   private def logContainerOutput(): Unit = {
-    val logStream = docker.logs(containerId, LogsParam.stdout(), LogsParam.stderr())
-    try {
-      logInfo("\n\n===== CONTAINER LOGS FOR container Id: " + containerId + " =====")
-      logInfo(logStream.readFully())
-      logInfo("\n\n===== END OF CONTAINER LOGS FOR container Id: " + containerId + " =====")
-    } finally {
-      logStream.close()
-    }
+    logInfo("\n\n===== CONTAINER LOGS FOR container Id: " + container + " =====")
+    docker.logContainerCmd(container.getId)
+      .withStdOut(true)
+      .withStdErr(true)
+      .withFollowStream(true)
+      .withSince(0).exec(
+      new ResultCallbackTemplate[ResultCallback[Frame], Frame] {
+        override def onNext(f: Frame): Unit = logInfo(f.toString)
+      })
+    logInfo("\n\n===== END OF CONTAINER LOGS FOR container Id: " + container + " =====")
   }
 }
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MariaDBKrbIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MariaDBKrbIntegrationSuite.scala
index 873d5ad1ee43b..49c9e3dba0d7f 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MariaDBKrbIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MariaDBKrbIntegrationSuite.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.jdbc
 
 import javax.security.auth.login.Configuration
 
-import com.spotify.docker.client.messages.{ContainerConfig, HostConfig}
+import com.github.dockerjava.api.model.{AccessMode, Bind, ContainerConfig, HostConfig, Volume}
 
 import org.apache.spark.sql.execution.datasources.jdbc.connection.SecureConnectionProvider
 import org.apache.spark.tags.DockerTest
@@ -52,17 +52,17 @@ class MariaDBKrbIntegrationSuite extends DockerKrbJDBCIntegrationSuite {
       Some("/docker-entrypoint/mariadb_docker_entrypoint.sh")
 
     override def beforeContainerStart(
-        hostConfigBuilder: HostConfig.Builder,
-        containerConfigBuilder: ContainerConfig.Builder): Unit = {
+        hostConfigBuilder: HostConfig,
+        containerConfigBuilder: ContainerConfig): Unit = {
       copyExecutableResource("mariadb_docker_entrypoint.sh", entryPointDir, replaceIp)
       copyExecutableResource("mariadb_krb_setup.sh", initDbDir, replaceIp)
 
-      hostConfigBuilder.appendBinds(
-        HostConfig.Bind.from(entryPointDir.getAbsolutePath)
-          .to("/docker-entrypoint").readOnly(true).build(),
-        HostConfig.Bind.from(initDbDir.getAbsolutePath)
-          .to("/docker-entrypoint-initdb.d").readOnly(true).build()
-      )
+      val binds =
+        Seq(entryPointDir -> "/docker-entrypoint", initDbDir -> "/docker-entrypoint-initdb.d")
+          .map { case (from, to) =>
+            new Bind(from.getAbsolutePath, new Volume(to), AccessMode.ro)
+          }
+      hostConfigBuilder.withBinds(hostConfigBuilder.getBinds ++ binds: _*)
     }
   }
 
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
index 667d8c7786187..1dcf101b394a4 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresKrbIntegrationSuite.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.jdbc
 
 import javax.security.auth.login.Configuration
 
-import com.spotify.docker.client.messages.{ContainerConfig, HostConfig}
+import com.github.dockerjava.api.model.{AccessMode, Bind, ContainerConfig, HostConfig, Volume}
 
 import org.apache.spark.sql.execution.datasources.jdbc.connection.SecureConnectionProvider
 import org.apache.spark.tags.DockerTest
@@ -48,14 +48,14 @@ class PostgresKrbIntegrationSuite extends DockerKrbJDBCIntegrationSuite {
       s"jdbc:postgresql://$ip:$port/postgres?user=$principal&gsslib=gssapi"
 
     override def beforeContainerStart(
-        hostConfigBuilder: HostConfig.Builder,
-        containerConfigBuilder: ContainerConfig.Builder): Unit = {
+        hostConfigBuilder: HostConfig,
+        containerConfigBuilder: ContainerConfig): Unit = {
       copyExecutableResource("postgres_krb_setup.sh", initDbDir, replaceIp)
-
-      hostConfigBuilder.appendBinds(
-        HostConfig.Bind.from(initDbDir.getAbsolutePath)
-          .to("/docker-entrypoint-initdb.d").readOnly(true).build()
-      )
+      val newBind = new Bind(
+        initDbDir.getAbsolutePath,
+        new Volume("/docker-entrypoint-initdb.d"),
+        AccessMode.ro)
+      hostConfigBuilder.withBinds(hostConfigBuilder.getBinds :+ newBind: _*)
     }
   }
 
diff --git a/pom.xml b/pom.xml
index 04acbdb3cd6e4..3d9b003bd19c8 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1219,22 +1219,31 @@
         <scope>test</scope>
       </dependency>
       <dependency>
-        <groupId>com.spotify</groupId>
-        <artifactId>docker-client</artifactId>
-        <version>8.14.1</version>
+        <groupId>com.github.docker-java</groupId>
+        <artifactId>docker-java</artifactId>
+        <version>3.3.4</version>
         <scope>test</scope>
-        <classifier>shaded</classifier>
         <exclusions>
-          <exclusion>
-            <artifactId>guava</artifactId>
-            <groupId>com.google.guava</groupId>
-          </exclusion>
           <exclusion>
             <groupId>commons-logging</groupId>
             <artifactId>commons-logging</artifactId>
           </exclusion>
+          <exclusion>
+            <groupId>com.github.docker-java</groupId>
+            <artifactId>docker-java-transport-netty</artifactId>
+          </exclusion>
+          <exclusion>
+            <groupId>com.github.docker-java</groupId>
+            <artifactId>docker-java-transport-jersey</artifactId>
+          </exclusion>
         </exclusions>
       </dependency>
+      <dependency>
+        <groupId>com.github.docker-java</groupId>
+        <artifactId>docker-java-transport-zerodep</artifactId>
+        <version>3.3.4</version>
+        <scope>test</scope>
+      </dependency>
       <dependency>
         <groupId>com.mysql</groupId>
         <artifactId>mysql-connector-j</artifactId>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index e8c52dc0aff3b..f8659a4f4a257 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -469,8 +469,7 @@ object SparkBuild extends PomBuild {
   /* Protobuf settings */
   enable(SparkProtobuf.settings)(protobuf)
 
-  // SPARK-14738 - Remove docker tests from main Spark build
-  // enable(DockerIntegrationTests.settings)(dockerIntegrationTests)
+  enable(DockerIntegrationTests.settings)(dockerIntegrationTests)
 
   if (!profiles.contains("volcano")) {
     enable(Volcano.settings)(kubernetes)

From a49d6f42f598c15e3394baa15fa6d083c241a8f4 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 23 Apr 2024 07:44:15 -0700
Subject: [PATCH 872/986] [SPARK-47949][SQL][DOCKER][TESTS] MsSQLServer: Bump
 up mssql docker image version to 2022-CU12-GDR1-ubuntu-22.04

### What changes were proposed in this pull request?

This PR umps up mssql docker image version to 2022-CU12-GDR1-ubuntu-22.04

FYI, https://mcr.microsoft.com/en-us/product/mssql/server/tags

### Why are the changes needed?

dependency mgr

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #46176 from yaooqinn/SPARK-47949.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 9c4f12ca04ac36ab6e23c0a896266b3a25e6d05d)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../jdbc/MsSQLServerDatabaseOnDocker.scala    | 32 +++++++++++++++++++
 .../jdbc/MsSqlServerIntegrationSuite.scala    | 14 +-------
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala | 16 ++--------
 .../jdbc/v2/MsSqlServerNamespaceSuite.scala   | 17 ++--------
 4 files changed, 37 insertions(+), 42 deletions(-)
 create mode 100644 connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSQLServerDatabaseOnDocker.scala

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSQLServerDatabaseOnDocker.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSQLServerDatabaseOnDocker.scala
new file mode 100644
index 0000000000000..b351b2ad1ec7d
--- /dev/null
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSQLServerDatabaseOnDocker.scala
@@ -0,0 +1,32 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.jdbc
+
+class MsSQLServerDatabaseOnDocker extends DatabaseOnDocker {
+  override val imageName = sys.env.getOrElse("MSSQLSERVER_DOCKER_IMAGE_NAME",
+    "mcr.microsoft.com/mssql/server:2022-CU12-GDR1-ubuntu-22.04")
+  override val env = Map(
+    "SA_PASSWORD" -> "Sapass123",
+    "ACCEPT_EULA" -> "Y"
+  )
+  override val usesIpc = false
+  override val jdbcPort: Int = 1433
+
+  override def getJdbcUrl(ip: String, port: Int): String =
+    s"jdbc:sqlserver://$ip:$port;user=sa;password=Sapass123;"
+}
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSqlServerIntegrationSuite.scala
index f2614f46bc3f6..443000050a476 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/MsSqlServerIntegrationSuite.scala
@@ -38,19 +38,7 @@ import org.apache.spark.tags.DockerTest
  */
 @DockerTest
 class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationSuite {
-  override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("MSSQLSERVER_DOCKER_IMAGE_NAME",
-      "mcr.microsoft.com/mssql/server:2019-CU13-ubuntu-20.04")
-    override val env = Map(
-      "SA_PASSWORD" -> "Sapass123",
-      "ACCEPT_EULA" -> "Y"
-    )
-    override val usesIpc = false
-    override val jdbcPort: Int = 1433
-
-    override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:sqlserver://$ip:$port;user=sa;password=Sapass123;"
-  }
+  override val db = new MsSQLServerDatabaseOnDocker
 
   override def dataPreparation(conn: Connection): Unit = {
     conn.prepareStatement("CREATE TABLE tbl (x INT, y VARCHAR (50))").executeUpdate()
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index 0bb2ea8249b39..de8fcf1a4a787 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -24,7 +24,7 @@ import org.scalatest.time.SpanSugar._
 import org.apache.spark.{SparkConf, SparkSQLFeatureNotSupportedException}
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
-import org.apache.spark.sql.jdbc.DatabaseOnDocker
+import org.apache.spark.sql.jdbc.MsSQLServerDatabaseOnDocker
 import org.apache.spark.sql.types._
 import org.apache.spark.tags.DockerTest
 
@@ -60,19 +60,7 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
     "scan with aggregate push-down: REGR_SXY without DISTINCT")
 
   override val catalogName: String = "mssql"
-  override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("MSSQLSERVER_DOCKER_IMAGE_NAME",
-      "mcr.microsoft.com/mssql/server:2019-CU13-ubuntu-20.04")
-    override val env = Map(
-      "SA_PASSWORD" -> "Sapass123",
-      "ACCEPT_EULA" -> "Y"
-    )
-    override val usesIpc = false
-    override val jdbcPort: Int = 1433
-
-    override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:sqlserver://$ip:$port;user=sa;password=Sapass123;"
-  }
+  override val db = new MsSQLServerDatabaseOnDocker
 
   override def sparkConf: SparkConf = super.sparkConf
     .set("spark.sql.catalog.mssql", classOf[JDBCTableCatalog].getName)
diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerNamespaceSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerNamespaceSuite.scala
index b0a2d37e465ac..de0ae5d59716b 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerNamespaceSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerNamespaceSuite.scala
@@ -21,7 +21,7 @@ import java.sql.Connection
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.sql.jdbc.{DatabaseOnDocker, DockerJDBCIntegrationSuite}
+import org.apache.spark.sql.jdbc.{DockerJDBCIntegrationSuite, MsSQLServerDatabaseOnDocker}
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
 import org.apache.spark.tags.DockerTest
 
@@ -35,20 +35,7 @@ import org.apache.spark.tags.DockerTest
  */
 @DockerTest
 class MsSqlServerNamespaceSuite extends DockerJDBCIntegrationSuite with V2JDBCNamespaceTest {
-  override val db = new DatabaseOnDocker {
-    override val imageName = sys.env.getOrElse("MSSQLSERVER_DOCKER_IMAGE_NAME",
-      "mcr.microsoft.com/mssql/server:2019-CU13-ubuntu-20.04")
-    override val env = Map(
-      "SA_PASSWORD" -> "Sapass123",
-      "ACCEPT_EULA" -> "Y"
-    )
-    override val usesIpc = false
-    override val jdbcPort: Int = 1433
-
-    override def getJdbcUrl(ip: String, port: Int): String =
-      s"jdbc:sqlserver://$ip:$port;user=sa;password=Sapass123;"
-  }
-
+  override val db = new MsSQLServerDatabaseOnDocker
   val map = new CaseInsensitiveStringMap(
     Map("url" -> db.getJdbcUrl(dockerIp, externalPort),
       "driver" -> "com.microsoft.sqlserver.jdbc.SQLServerDriver").asJava)

From 16b8153063b2a6ae6231535e822486f0d9df6ad5 Mon Sep 17 00:00:00 2001
From: Nick Young <nick.young@databricks.com>
Date: Mon, 30 Sep 2024 20:44:51 +0800
Subject: [PATCH 873/986] [SPARK-49819] Disable CollapseProject for correlated
 subqueries in projection over aggregate correctly

### What changes were proposed in this pull request?

CollapseProject should block collapsing with an aggregate if any correlated subquery is present. There are other correlated subqueries that are not ScalarSubquery that are not accounted for here.

### Why are the changes needed?

Availability issue.

### Does this PR introduce _any_ user-facing change?

Previously failing queries will not fail anymore.

### How was this patch tested?

UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48286 from n-young-db/n-young-db/collapse-project-correlated-subquery-check.

Lead-authored-by: Nick Young <nick.young@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 97ae372634b119b2b67304df67463b95b20febd9)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../sql/catalyst/optimizer/Optimizer.scala     |  8 +++-----
 .../org/apache/spark/sql/SubquerySuite.scala   | 18 ++++++++++++++++++
 2 files changed, 21 insertions(+), 5 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 106b5396d3a8c..9e1d264be98f4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.analysis._
 import org.apache.spark.sql.catalyst.catalog.{InMemoryCatalog, SessionCatalog}
 import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.expressions.SubqueryExpression.hasCorrelatedSubquery
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical.{RepartitionOperation, _}
@@ -1164,11 +1165,8 @@ object CollapseProject extends Rule[LogicalPlan] with AliasHelper {
    * in aggregate if they are also part of the grouping expressions. Otherwise the plan
    * after subquery rewrite will not be valid.
    */
-  private def canCollapseAggregate(p: Project, a: Aggregate): Boolean = {
-    p.projectList.forall(_.collect {
-      case s: ScalarSubquery if s.outerAttrs.nonEmpty => s
-    }.isEmpty)
-  }
+  private def canCollapseAggregate(p: Project, a: Aggregate): Boolean =
+    !p.projectList.exists(hasCorrelatedSubquery)
 
   def buildCleanedProjectList(
       upper: Seq[NamedExpression],
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
index fbc256b33968a..260c992f1aed1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
@@ -2212,6 +2212,24 @@ class SubquerySuite extends QueryTest
     }
   }
 
+  test("SPARK-49819: Do not collapse projects with exist subqueries") {
+    withTempView("v") {
+      Seq((0, 1), (1, 2)).toDF("c1", "c2").createOrReplaceTempView("v")
+      checkAnswer(
+        sql("""
+              |SELECT m, CASE WHEN EXISTS (SELECT SUM(c2) FROM v WHERE c1 = m) THEN 1 ELSE 0 END
+              |FROM (SELECT MIN(c2) AS m FROM v)
+              |""".stripMargin),
+        Row(1, 1) :: Nil)
+      checkAnswer(
+        sql("""
+              |SELECT c, CASE WHEN EXISTS (SELECT SUM(c2) FROM v WHERE c1 = c) THEN 1 ELSE 0 END
+              |FROM (SELECT c1 AS c FROM v GROUP BY c1)
+              |""".stripMargin),
+        Row(0, 1) :: Row(1, 1) :: Nil)
+    }
+  }
+
   test("SPARK-37199: deterministic in QueryPlan considers subquery") {
     val deterministicQueryPlan = sql("select (select 1 as b) as b")
       .queryExecution.executedPlan

From 75860a3cc50f366403d396a27eaa726f6860519a Mon Sep 17 00:00:00 2001
From: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Date: Tue, 1 Oct 2024 09:49:00 +0800
Subject: [PATCH 874/986] [SPARK-49743][SQL] OptimizeCsvJsonExpr should not
 change schema fields when pruning GetArrayStructFields

### What changes were proposed in this pull request?
- Cherry-pick of the original PR - https://github.com/apache/spark/pull/48190 to Spark 3.5

- When pruning the schema of the struct in `GetArrayStructFields`, rely on the existing `StructType` to obtain the pruned schema instead of using the accessed field.

### Why are the changes needed?

- Fixes a bug in `OptimizeCsvJsonExprs` rule that would have otherwise changed the schema fields of the underlying struct to be extracted.
- This would show up as a correctness issue where for a field instead of picking the right values we would have ended up giving null output.

### Does this PR introduce _any_ user-facing change?

Yes. The query output would change for the queries of the following type:
```
SELECT
  from_json('[{"a": '||id||', "b": '|| (2*id) ||'}]', 'array<struct<a: INT, b: INT>>').a,
  from_json('[{"a": '||id||', "b": '|| (2*id) ||'}]', 'array<struct<a: INT, b: INT>>').A
FROM
  range(3) as t
```

Earlier, the result would had been:
```
Array([ArraySeq(0),ArraySeq(null)], [ArraySeq(1),ArraySeq(null)], [ArraySeq(2),ArraySeq(null)])
```
vs the new result is (verified through spark-shell):
```
Array([ArraySeq(0),ArraySeq(0)], [ArraySeq(1),ArraySeq(1)], [ArraySeq(2),ArraySeq(2)])
```

### How was this patch tested?
- Added unit tests.
- Without this change, the added test would fail as we would have modified the schema from `a` to `A`:
```
- SPARK-49743: prune unnecessary columns from GetArrayStructFields does not change schema *** FAILED ***
  == FAIL: Plans do not match ===
  !Project [from_json(ArrayType(StructType(StructField(A,IntegerType,true)),true), json#0, Some(America/Los_Angeles)).A AS a#0]   Project [from_json(ArrayType(StructType(S
tructField(a,IntegerType,true)),true), json#0, Some(America/Los_Angeles)).A AS a#0]
   +- LocalRelation <empty>, [json#0]                                                                                             +- LocalRelation <empty>, [json#0] (PlanT
est.scala:179)
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48308 from nikhilsheoran-db/SPARK-49743-3.5.

Authored-by: Nikhil Sheoran <125331115+nikhilsheoran-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../optimizer/OptimizeCsvJsonExprs.scala        |  7 ++++---
 .../optimizer/OptimizeJsonExprsSuite.scala      | 17 +++++++++++++++++
 .../org/apache/spark/sql/SQLQuerySuite.scala    | 13 +++++++++++++
 3 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeCsvJsonExprs.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeCsvJsonExprs.scala
index 4347137bf68b8..04cc230f99b44 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeCsvJsonExprs.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeCsvJsonExprs.scala
@@ -112,9 +112,10 @@ object OptimizeCsvJsonExprs extends Rule[LogicalPlan] {
       val prunedSchema = StructType(Array(schema(ordinal)))
       g.copy(child = j.copy(schema = prunedSchema), ordinal = 0)
 
-    case g @ GetArrayStructFields(j @ JsonToStructs(schema: ArrayType, _, _, _), _, _, _, _)
-        if schema.elementType.asInstanceOf[StructType].length > 1 && j.options.isEmpty =>
-      val prunedSchema = ArrayType(StructType(Array(g.field)), g.containsNull)
+    case g @ GetArrayStructFields(j @ JsonToStructs(ArrayType(schema: StructType, _),
+        _, _, _), _, ordinal, _, _) if schema.length > 1 && j.options.isEmpty =>
+      // Obtain the pruned schema by picking the `ordinal` field of the struct.
+      val prunedSchema = ArrayType(StructType(Array(schema(ordinal))), g.containsNull)
       g.copy(child = j.copy(schema = prunedSchema), ordinal = 0, numFields = 1)
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeJsonExprsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeJsonExprsSuite.scala
index c185de4c05d88..eed06da609f8e 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeJsonExprsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizeJsonExprsSuite.scala
@@ -307,4 +307,21 @@ class OptimizeJsonExprsSuite extends PlanTest with ExpressionEvalHelper {
       comparePlans(optimized, query.analyze)
     }
   }
+
+  test("SPARK-49743: prune unnecessary columns from GetArrayStructFields does not change schema") {
+    val options = Map.empty[String, String]
+    val schema = ArrayType(StructType.fromDDL("a int, b int"), containsNull = true)
+
+    val field = StructField("A", IntegerType) // Instead of "a", use "A" to test case sensitivity.
+    val query = testRelation2
+      .select(GetArrayStructFields(
+        JsonToStructs(schema, options, $"json"), field, 0, 2, true).as("a"))
+    val optimized = Optimizer.execute(query.analyze)
+
+    val prunedSchema = ArrayType(StructType.fromDDL("a int"), containsNull = true)
+    val expected = testRelation2
+      .select(GetArrayStructFields(
+        JsonToStructs(prunedSchema, options, $"json"), field, 0, 1, true).as("a")).analyze
+    comparePlans(optimized, expected)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 71f4f17de61d9..793a0da6a8622 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -4711,6 +4711,19 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
     val df6 = df3.join(df2, col("df3.zaak_id") === col("df2.customer_id"), "outer")
     df5.crossJoin(df6)
   }
+
+  test("SPARK-49743: OptimizeCsvJsonExpr does not change schema when pruning struct") {
+    val df = sql("""
+        | SELECT
+        |    from_json('[{"a": '||id||', "b": '|| (2*id) ||'}]', 'array<struct<a: INT, b: INT>>').a,
+        |    from_json('[{"a": '||id||', "b": '|| (2*id) ||'}]', 'array<struct<a: INT, b: INT>>').A
+        | FROM
+        |    range(3) as t
+        |""".stripMargin)
+    val expectedAnswer = Seq(
+      Row(Array(0), Array(0)), Row(Array(1), Array(1)), Row(Array(2), Array(2)))
+    checkAnswer(df, expectedAnswer)
+  }
 }
 
 case class Foo(bar: Option[String])

From d9467b54349f7db7eadba1ca9efbffcbc707534a Mon Sep 17 00:00:00 2001
From: Wenchen Fan <wenchen@databricks.com>
Date: Mon, 30 Sep 2024 23:34:57 -0700
Subject: [PATCH 875/986] [SPARK-49816][SQL][3.5] Should only update
 out-going-ref-count for referenced outer CTE relation

backport https://github.com/apache/spark/pull/48284 to 3.5

### What changes were proposed in this pull request?

This PR fixes a long-standing reference counting bug in the rule `InlineCTE`. Let's look at the minimal repro:
```
      sql(
        """
          |WITH
          |t1 AS (SELECT 1 col),
          |t2 AS (SELECT * FROM t1)
          |SELECT * FROM t2
          |""".stripMargin).createTempView("v")
      // r1 is un-referenced, but it should not decrease the ref count of t2 inside view v.
      val df = sql(
        """
          |WITH
          |r1 AS (SELECT * FROM v),
          |r2 AS (SELECT * FROM v)
          |SELECT * FROM r2
          |""".stripMargin)
```
The logical plan is something like below
```
WithCTE
  CTEDef r1
    View v
      WithCTE
        CTEDef t1
          OneRowRelation
        CTEDef t2
          CTERef t1
        CTERef t2    // main query of the inner WithCTE
  CTEDef r2
    View v   // exactly the same as the view v above
      WithCTE
        CTEDef t1
          OneRowRelation
        CTEDef t2
          CTERef t1
        CTERef t2
  CTERef r2    // main query of the outer WithCTE
```
Ideally, the ref count of `t1`, `t2` and `r2` should be all `1`. They will be inlined and the final plan is the `OneRowRelation`. However, in `InlineCTE#buildCTEMap`, when we traverse into `CTEDef r1` and hit `CTERef t2`, we mistakenly update the out-going-ref-count of `r1`, which means that `r1` references `t2` and this is totally wrong. Later on, in `InlineCTE#cleanCTEMap`, we find that `r1` is not referenced at all, so we decrease the ref count of its out-going-ref, which is `t2`, and the ref count of `t2` becomes `0`. Finally, in `InlineCTE#inlineCTE`, we leave the plan of `t2` unchanged because its ref count is `0`, and the plan of `t2` contains `CTERef t1`. `t2` is still inlined so we end up with `CTERef t1` as the final plan without the `WithCTE` node.

### Why are the changes needed?

bug fix

### Does this PR introduce _any_ user-facing change?

Yes, the query failed before and now can work

### How was this patch tested?

new test

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #48301 from cloud-fan/cte.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../sql/catalyst/optimizer/InlineCTE.scala    | 32 ++++++++++++-------
 .../org/apache/spark/sql/CTEInlineSuite.scala | 21 ++++++++++++
 2 files changed, 42 insertions(+), 11 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InlineCTE.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InlineCTE.scala
index 8d7ff4cbf163d..69adf3e15cf44 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InlineCTE.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InlineCTE.scala
@@ -79,41 +79,51 @@ case class InlineCTE(alwaysInline: Boolean = false) extends Rule[LogicalPlan] {
    *               - The number of incoming references to the CTE. This includes references from
    *                 other CTEs and regular places.
    *               - A mutable inner map that tracks outgoing references (counts) to other CTEs.
-   * @param outerCTEId While collecting the map we use this optional CTE id to identify the
-   *                   current outer CTE.
+   * @param collectCTERefs A function to collect CTE references so that the caller side can do some
+   *                       bookkeeping work.
    */
   def buildCTEMap(
       plan: LogicalPlan,
       cteMap: mutable.Map[Long, (CTERelationDef, Int, mutable.Map[Long, Int])],
-      outerCTEId: Option[Long] = None): Unit = {
+      collectCTERefs: CTERelationRef => Unit = _ => ()): Unit = {
     plan match {
       case WithCTE(child, cteDefs) =>
         cteDefs.foreach { cteDef =>
           cteMap(cteDef.id) = (cteDef, 0, mutable.Map.empty.withDefaultValue(0))
         }
         cteDefs.foreach { cteDef =>
-          buildCTEMap(cteDef, cteMap, Some(cteDef.id))
+          buildCTEMap(cteDef, cteMap, ref => {
+            // A CTE relation can references CTE relations defined before it in the same `WithCTE`.
+            // Here we update the out-going-ref-count for it, in case this CTE relation is not
+            // referenced at all and can be optimized out, and we need to decrease the ref counts
+            // for CTE relations that are referenced by it.
+            if (cteDefs.exists(_.id == ref.cteId)) {
+              val (_, _, outerRefMap) = cteMap(cteDef.id)
+              outerRefMap(ref.cteId) += 1
+            }
+            // Similarly, a CTE relation can reference CTE relations defined in the outer `WithCTE`.
+            // Here we call the `collectCTERefs` function so that the outer CTE can also update the
+            // out-going-ref-count if needed.
+            collectCTERefs(ref)
+          })
         }
-        buildCTEMap(child, cteMap, outerCTEId)
+        buildCTEMap(child, cteMap, collectCTERefs)
 
       case ref: CTERelationRef =>
         val (cteDef, refCount, refMap) = cteMap(ref.cteId)
         cteMap(ref.cteId) = (cteDef, refCount + 1, refMap)
-        outerCTEId.foreach { cteId =>
-          val (_, _, outerRefMap) = cteMap(cteId)
-          outerRefMap(ref.cteId) += 1
-        }
+        collectCTERefs(ref)
 
       case _ =>
         if (plan.containsPattern(CTE)) {
           plan.children.foreach { child =>
-            buildCTEMap(child, cteMap, outerCTEId)
+            buildCTEMap(child, cteMap, collectCTERefs)
           }
 
           plan.expressions.foreach { expr =>
             if (expr.containsAllPatterns(PLAN_EXPRESSION, CTE)) {
               expr.foreach {
-                case e: SubqueryExpression => buildCTEMap(e.plan, cteMap, outerCTEId)
+                case e: SubqueryExpression => buildCTEMap(e.plan, cteMap, collectCTERefs)
                 case _ =>
               }
             }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
index 5f6c44792658a..73f5b742715eb 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/CTEInlineSuite.scala
@@ -678,6 +678,27 @@ abstract class CTEInlineSuiteBase
       }.isDefined, "CTE columns should not be pruned.")
     }
   }
+
+  test("SPARK-49816: should only update out-going-ref-count for referenced outer CTE relation") {
+    withView("v") {
+      sql(
+        """
+          |WITH
+          |t1 AS (SELECT 1 col),
+          |t2 AS (SELECT * FROM t1)
+          |SELECT * FROM t2
+          |""".stripMargin).createTempView("v")
+      // r1 is un-referenced, but it should not decrease the ref count of t2 inside view v.
+      val df = sql(
+        """
+          |WITH
+          |r1 AS (SELECT * FROM v),
+          |r2 AS (SELECT * FROM v)
+          |SELECT * FROM r2
+          |""".stripMargin)
+      checkAnswer(df, Row(1))
+    }
+  }
 }
 
 class CTEInlineSuiteAEOff extends CTEInlineSuiteBase with DisableAdaptiveExecutionSuite

From b8f845670fdea76841ad6c285cc9feecc0e1edfc Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 30 Sep 2024 23:42:05 -0700
Subject: [PATCH 876/986] [SPARK-49841][PYTHON][TESTS][3.5] Skip PySpark
 `test_cast_to_udt_with_udt`test during `SPARK_SKIP_CONNECT_COMPAT_TESTS`

### What changes were proposed in this pull request?

This PR aims to skip PySpark `test_cast_to_udt_with_udt`test during `SPARK_SKIP_CONNECT_COMPAT_TESTS` in branch-3.5.

### Why are the changes needed?

Currently, Apache Spark 4.0.0's PySpark Connect compatibility test fails.
- https://github.com/apache/spark/actions/workflows/build_python_connect35.yml

This is due to the newly added feature. Although this is a kind of Apache Spark 4.0.0 test suite, we need to disable this test case from `branch-3.5`.
- #48251

### Does this PR introduce _any_ user-facing change?

No. This is a test-only PR.

### How was this patch tested?

This should be tested after merging via Daily CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48307 from dongjoon-hyun/SPARK-49841.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 python/pyspark/sql/tests/test_types.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/python/pyspark/sql/tests/test_types.py b/python/pyspark/sql/tests/test_types.py
index ad458988d4fd1..504d945dc02a0 100644
--- a/python/pyspark/sql/tests/test_types.py
+++ b/python/pyspark/sql/tests/test_types.py
@@ -753,6 +753,9 @@ def test_cast_to_string_with_udt(self):
         result = df.select(F.col("point").cast("string"), F.col("pypoint").cast("string")).head()
         self.assertEqual(result, Row(point="(1.0, 2.0)", pypoint="[3.0, 4.0]"))
 
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "SPARK-49787: Supported since Spark 4.0.0"
+    )
     def test_cast_to_udt_with_udt(self):
         row = Row(point=ExamplePoint(1.0, 2.0), python_only_point=PythonOnlyPoint(1.0, 2.0))
         df = self.spark.createDataFrame([row])

From ec281547eed4cee1dab2b777b4a03c764bd15b54 Mon Sep 17 00:00:00 2001
From: maheshbehera <maheshbehera@microsoft.com>
Date: Fri, 4 Oct 2024 23:34:57 +0800
Subject: [PATCH 877/986] [SPARK-47702][CORE] Remove Shuffle service endpoint
 from the locations list when RDD block is removed form a node

### What changes were proposed in this pull request?

Credit to maheshk114 for the initial investigation and the fix.

This PR fix a bug where the shuffle service's ID is kept among the block location list at the removing of a RDD block from a node. Before this change `StorageLevel.NONE` is used to notify about the block remove which causes the block manager master ignoring the update of the locations for shuffle service's IDs (for details please see the method `BlockManagerMasterEndpoint#updateBlockInfo()` and keep in mind `StorageLevel.NONE.useDisk` is `false`). But after this change only the replication count is set to 0 to notify the block remove so `StorageLevel#isValid` is still false but `storageLevel.useDisk` is kept as `true` this way the the shuffle service's ID will be removed from the block location list.

### Why are the changes needed?

If the block location is not updated properly, then tasks fails with fetch failed exception. The tasks will try to read the RDD blocks from a node using external shuffle service. The read will fail, if the node is already decommissioned.

```
WARN BlockManager [Executor task launch worker for task 25.0 in stage 6.0 (TID 1567)]: Failed to fetch remote block rdd_5_25 from BlockManagerId(4, vm-92303839, 7337, None) (failed attempt 1)
org.apache.spark.SparkException: Exception thrown in awaitResult:
	at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
	at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:103)
	at org.apache.spark.storage.BlockManager.fetchRemoteManagedBuffer(BlockManager.scala:1155)
	at org.apache.spark.storage.BlockManager.$anonfun$getRemoteBlock$8(BlockManager.scala:1099)
	at scala.Option.orElse(Option.scala:447)
	at org.apache.spark.storage.BlockManager.getRemoteBlock(BlockManager.scala:1099)
	at org.apache.spark.storage.BlockManager.getRemoteValues(BlockManager.scala:1045)
	at org.apache.spark.storage.BlockManager.get(BlockManager.scala:1264)
	at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1326)
```

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added a new UT.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #47779 from attilapiros/SPARK-47702-attila.

Lead-authored-by: maheshbehera <maheshbehera@microsoft.com>
Co-authored-by: Attila Zsolt Piros <2017933+attilapiros@users.noreply.github.com>
Co-authored-by: attilapiros <piros.attila.zsolt@gmail.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 8a51ca7d66eb32d309cd7351d3c78770d47518d6)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../apache/spark/storage/BlockManager.scala   |  6 ++-
 .../BlockManagerReplicationSuite.scala        | 37 +++++++++++++++++++
 .../spark/storage/BlockManagerSuite.scala     | 13 ++++---
 3 files changed, 49 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index 6de6069d2fea5..1b56aa7ade125 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -2082,8 +2082,10 @@ private[spark] class BlockManager(
       hasRemoveBlock = true
       if (tellMaster) {
         // Only update storage level from the captured block status before deleting, so that
-        // memory size and disk size are being kept for calculating delta.
-        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = StorageLevel.NONE))
+        // memory size and disk size are being kept for calculating delta. Reset the replica
+        // count 0 in storage level to notify that it is a remove operation.
+        val storageLevel = StorageLevel(blockStatus.get.storageLevel.toInt, 0)
+        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = storageLevel))
       }
     } finally {
       if (!hasRemoveBlock) {
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
index 38a669bc85744..d2fa3b4158d87 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
@@ -38,6 +38,8 @@ import org.apache.spark.internal.config.Tests._
 import org.apache.spark.memory.UnifiedMemoryManager
 import org.apache.spark.network.BlockTransferService
 import org.apache.spark.network.netty.NettyBlockTransferService
+import org.apache.spark.network.shuffle.ExternalBlockStoreClient
+import org.apache.spark.network.util.{MapConfigProvider, TransportConf}
 import org.apache.spark.rpc.RpcEnv
 import org.apache.spark.scheduler.LiveListenerBus
 import org.apache.spark.serializer.{KryoSerializer, SerializerManager}
@@ -295,6 +297,41 @@ trait BlockManagerReplicationBehavior extends SparkFunSuite
     }
   }
 
+  test("Test block location after replication with SHUFFLE_SERVICE_FETCH_RDD_ENABLED enabled") {
+    val newConf = conf.clone()
+    newConf.set(SHUFFLE_SERVICE_ENABLED, true)
+    newConf.set(SHUFFLE_SERVICE_FETCH_RDD_ENABLED, true)
+    newConf.set(Tests.TEST_SKIP_ESS_REGISTER, true)
+    val blockManagerInfo = new mutable.HashMap[BlockManagerId, BlockManagerInfo]()
+    val shuffleClient = Some(new ExternalBlockStoreClient(
+        new TransportConf("shuffle", MapConfigProvider.EMPTY),
+        null, false, 5000))
+    master = new BlockManagerMaster(rpcEnv.setupEndpoint("blockmanager-2",
+      new BlockManagerMasterEndpoint(rpcEnv, true, newConf,
+        new LiveListenerBus(newConf), shuffleClient, blockManagerInfo, mapOutputTracker,
+        sc.env.shuffleManager, isDriver = true)),
+      rpcEnv.setupEndpoint("blockmanagerHeartbeat-2",
+      new BlockManagerMasterHeartbeatEndpoint(rpcEnv, true, blockManagerInfo)), newConf, true)
+
+    val shuffleServicePort = newConf.get(SHUFFLE_SERVICE_PORT)
+    val store1 = makeBlockManager(10000, "host-1")
+    val store2 = makeBlockManager(10000, "host-2")
+    assert(master.getPeers(store1.blockManagerId).toSet === Set(store2.blockManagerId))
+
+    val blockId = RDDBlockId(1, 2)
+    val message = new Array[Byte](1000)
+
+    // if SHUFFLE_SERVICE_FETCH_RDD_ENABLED is enabled, then shuffle port should be present.
+    store1.putSingle(blockId, message, StorageLevel.DISK_ONLY)
+    assert(master.getLocations(blockId).contains(
+      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
+
+    // after block is removed, shuffle port should be removed.
+    store1.removeBlock(blockId, true)
+    assert(!master.getLocations(blockId).contains(
+      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
+  }
+
   test("block replication - addition and deletion of block managers") {
     val blockSize = 1000
     val storeSize = 10000
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
index ecd66dc2c5fb0..728e3a252b7a1 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
@@ -33,7 +33,7 @@ import scala.reflect.classTag
 import com.esotericsoftware.kryo.KryoException
 import org.apache.commons.lang3.RandomUtils
 import org.mockito.{ArgumentCaptor, ArgumentMatchers => mc}
-import org.mockito.Mockito.{doAnswer, mock, never, spy, times, verify, when}
+import org.mockito.Mockito.{atLeastOnce, doAnswer, mock, never, spy, times, verify, when}
 import org.scalatest.PrivateMethodTester
 import org.scalatest.concurrent.{Signaler, ThreadSignaler, TimeLimits}
 import org.scalatest.concurrent.Eventually._
@@ -666,7 +666,7 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
       removedFromMemory: Boolean,
       removedFromDisk: Boolean): Unit = {
     def assertSizeReported(captor: ArgumentCaptor[Long], expectRemoved: Boolean): Unit = {
-      assert(captor.getAllValues().size() === 1)
+      assert(captor.getAllValues().size() >= 1)
       if (expectRemoved) {
         assert(captor.getValue() > 0)
       } else {
@@ -676,15 +676,18 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
 
     val memSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
     val diskSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
-    verify(master).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      mc.eq(StorageLevel.NONE), memSizeCaptor.capture(), diskSizeCaptor.capture())
+    val storageLevelCaptor =
+      ArgumentCaptor.forClass(classOf[StorageLevel]).asInstanceOf[ArgumentCaptor[StorageLevel]]
+    verify(master, atLeastOnce()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
+      storageLevelCaptor.capture(), memSizeCaptor.capture(), diskSizeCaptor.capture())
     assertSizeReported(memSizeCaptor, removedFromMemory)
     assertSizeReported(diskSizeCaptor, removedFromDisk)
+    assert(storageLevelCaptor.getValue.replication == 0)
   }
 
   private def assertUpdateBlockInfoNotReported(store: BlockManager, blockId: BlockId): Unit = {
     verify(master, never()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      mc.eq(StorageLevel.NONE), mc.anyInt(), mc.anyInt())
+      mc.any[StorageLevel](), mc.anyInt(), mc.anyInt())
   }
 
   test("reregistration on heart beat") {

From aa6784c1bcdd340d156463e5cedc59343dc53f4c Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 4 Oct 2024 10:29:54 -0700
Subject: [PATCH 878/986] Revert "[SPARK-47702][CORE] Remove Shuffle service
 endpoint from the locations list when RDD block is removed form a node"

### What changes were proposed in this pull request?
This reverts commit ec281547eed4cee1dab2b777b4a03c764bd15b54.

### Why are the changes needed?
branch-3.5 cannot be compiled successfully with commit ec281547eed4cee1dab2b777b4a03c764bd15b54

```
[error] /home/runner/work/spark/spark/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala:304:23: value TEST_SKIP_ESS_REGISTER is not a member of object org.apache.spark.internal.config.Tests
[error]     newConf.set(Tests.TEST_SKIP_ESS_REGISTER, true)
[error]                       ^
[error] one error found
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GItHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #48353 from LuciferYang/Revert-SPARK-47702.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../apache/spark/storage/BlockManager.scala   |  6 +--
 .../BlockManagerReplicationSuite.scala        | 37 -------------------
 .../spark/storage/BlockManagerSuite.scala     | 13 +++----
 3 files changed, 7 insertions(+), 49 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index 1b56aa7ade125..6de6069d2fea5 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -2082,10 +2082,8 @@ private[spark] class BlockManager(
       hasRemoveBlock = true
       if (tellMaster) {
         // Only update storage level from the captured block status before deleting, so that
-        // memory size and disk size are being kept for calculating delta. Reset the replica
-        // count 0 in storage level to notify that it is a remove operation.
-        val storageLevel = StorageLevel(blockStatus.get.storageLevel.toInt, 0)
-        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = storageLevel))
+        // memory size and disk size are being kept for calculating delta.
+        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = StorageLevel.NONE))
       }
     } finally {
       if (!hasRemoveBlock) {
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
index d2fa3b4158d87..38a669bc85744 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
@@ -38,8 +38,6 @@ import org.apache.spark.internal.config.Tests._
 import org.apache.spark.memory.UnifiedMemoryManager
 import org.apache.spark.network.BlockTransferService
 import org.apache.spark.network.netty.NettyBlockTransferService
-import org.apache.spark.network.shuffle.ExternalBlockStoreClient
-import org.apache.spark.network.util.{MapConfigProvider, TransportConf}
 import org.apache.spark.rpc.RpcEnv
 import org.apache.spark.scheduler.LiveListenerBus
 import org.apache.spark.serializer.{KryoSerializer, SerializerManager}
@@ -297,41 +295,6 @@ trait BlockManagerReplicationBehavior extends SparkFunSuite
     }
   }
 
-  test("Test block location after replication with SHUFFLE_SERVICE_FETCH_RDD_ENABLED enabled") {
-    val newConf = conf.clone()
-    newConf.set(SHUFFLE_SERVICE_ENABLED, true)
-    newConf.set(SHUFFLE_SERVICE_FETCH_RDD_ENABLED, true)
-    newConf.set(Tests.TEST_SKIP_ESS_REGISTER, true)
-    val blockManagerInfo = new mutable.HashMap[BlockManagerId, BlockManagerInfo]()
-    val shuffleClient = Some(new ExternalBlockStoreClient(
-        new TransportConf("shuffle", MapConfigProvider.EMPTY),
-        null, false, 5000))
-    master = new BlockManagerMaster(rpcEnv.setupEndpoint("blockmanager-2",
-      new BlockManagerMasterEndpoint(rpcEnv, true, newConf,
-        new LiveListenerBus(newConf), shuffleClient, blockManagerInfo, mapOutputTracker,
-        sc.env.shuffleManager, isDriver = true)),
-      rpcEnv.setupEndpoint("blockmanagerHeartbeat-2",
-      new BlockManagerMasterHeartbeatEndpoint(rpcEnv, true, blockManagerInfo)), newConf, true)
-
-    val shuffleServicePort = newConf.get(SHUFFLE_SERVICE_PORT)
-    val store1 = makeBlockManager(10000, "host-1")
-    val store2 = makeBlockManager(10000, "host-2")
-    assert(master.getPeers(store1.blockManagerId).toSet === Set(store2.blockManagerId))
-
-    val blockId = RDDBlockId(1, 2)
-    val message = new Array[Byte](1000)
-
-    // if SHUFFLE_SERVICE_FETCH_RDD_ENABLED is enabled, then shuffle port should be present.
-    store1.putSingle(blockId, message, StorageLevel.DISK_ONLY)
-    assert(master.getLocations(blockId).contains(
-      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
-
-    // after block is removed, shuffle port should be removed.
-    store1.removeBlock(blockId, true)
-    assert(!master.getLocations(blockId).contains(
-      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
-  }
-
   test("block replication - addition and deletion of block managers") {
     val blockSize = 1000
     val storeSize = 10000
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
index 728e3a252b7a1..ecd66dc2c5fb0 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
@@ -33,7 +33,7 @@ import scala.reflect.classTag
 import com.esotericsoftware.kryo.KryoException
 import org.apache.commons.lang3.RandomUtils
 import org.mockito.{ArgumentCaptor, ArgumentMatchers => mc}
-import org.mockito.Mockito.{atLeastOnce, doAnswer, mock, never, spy, times, verify, when}
+import org.mockito.Mockito.{doAnswer, mock, never, spy, times, verify, when}
 import org.scalatest.PrivateMethodTester
 import org.scalatest.concurrent.{Signaler, ThreadSignaler, TimeLimits}
 import org.scalatest.concurrent.Eventually._
@@ -666,7 +666,7 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
       removedFromMemory: Boolean,
       removedFromDisk: Boolean): Unit = {
     def assertSizeReported(captor: ArgumentCaptor[Long], expectRemoved: Boolean): Unit = {
-      assert(captor.getAllValues().size() >= 1)
+      assert(captor.getAllValues().size() === 1)
       if (expectRemoved) {
         assert(captor.getValue() > 0)
       } else {
@@ -676,18 +676,15 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
 
     val memSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
     val diskSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
-    val storageLevelCaptor =
-      ArgumentCaptor.forClass(classOf[StorageLevel]).asInstanceOf[ArgumentCaptor[StorageLevel]]
-    verify(master, atLeastOnce()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      storageLevelCaptor.capture(), memSizeCaptor.capture(), diskSizeCaptor.capture())
+    verify(master).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
+      mc.eq(StorageLevel.NONE), memSizeCaptor.capture(), diskSizeCaptor.capture())
     assertSizeReported(memSizeCaptor, removedFromMemory)
     assertSizeReported(diskSizeCaptor, removedFromDisk)
-    assert(storageLevelCaptor.getValue.replication == 0)
   }
 
   private def assertUpdateBlockInfoNotReported(store: BlockManager, blockId: BlockId): Unit = {
     verify(master, never()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      mc.any[StorageLevel](), mc.anyInt(), mc.anyInt())
+      mc.eq(StorageLevel.NONE), mc.anyInt(), mc.anyInt())
   }
 
   test("reregistration on heart beat") {

From d4b34d2898ec983642a512db90f7afef4a1e8c88 Mon Sep 17 00:00:00 2001
From: Stefan Kandic <stefan.kandic@databricks.com>
Date: Fri, 4 Oct 2024 12:46:37 -0700
Subject: [PATCH 879/986] [SPARK-49843][SQL][3.5] Fix change comment on
 char/varchar columns

### What changes were proposed in this pull request?

Fix the issue in `AlterTableChangeColumnCommand` where changing the comment of a char/varchar column also tries to change the column type to string.

Backporting #48315 to 3.5

### Why are the changes needed?

Because the newColumn will always be a `StringType` even when the metadata says that it was originally char/varchar.

### Does this PR introduce _any_ user-facing change?

Yes, the query will no longer fail when using this code path.

### How was this patch tested?

New query in golden files.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48333 from stefankandic/branch-3.5.

Authored-by: Stefan Kandic <stefan.kandic@databricks.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../analysis/ResolveSessionCatalog.scala      | 10 ++++--
 .../analyzer-results/charvarchar.sql.out      | 12 +++++++
 .../sql-tests/inputs/charvarchar.sql          |  2 ++
 .../sql-tests/results/charvarchar.sql.out     | 32 ++++++++++++++-----
 4 files changed, 45 insertions(+), 11 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
index 0a86a043985eb..2a92dc59f3871 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
@@ -25,7 +25,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogStorageFormat, CatalogTable
 import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute}
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, toPrettySQL, ResolveDefaultColumns => DefaultCols}
+import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, toPrettySQL, CharVarcharUtils, ResolveDefaultColumns => DefaultCols}
 import org.apache.spark.sql.catalyst.util.ResolveDefaultColumns._
 import org.apache.spark.sql.connector.catalog.{CatalogExtension, CatalogManager, CatalogPlugin, CatalogV2Util, LookupCatalog, SupportsNamespaces, V1Table}
 import org.apache.spark.sql.connector.expressions.Transform
@@ -35,7 +35,7 @@ import org.apache.spark.sql.execution.datasources.{CreateTable => CreateTableV1,
 import org.apache.spark.sql.execution.datasources.v2.FileDataSourceV2
 import org.apache.spark.sql.internal.{HiveSerDe, SQLConf}
 import org.apache.spark.sql.internal.connector.V1Function
-import org.apache.spark.sql.types.{MetadataBuilder, StructField, StructType}
+import org.apache.spark.sql.types.{MetadataBuilder, StringType, StructField, StructType}
 
 /**
  * Converts resolved v2 commands to v1 if the catalog is the session catalog. Since the v2 commands
@@ -84,7 +84,11 @@ class ResolveSessionCatalog(val catalogManager: CatalogManager)
       val colName = a.column.name(0)
       val dataType = a.dataType.getOrElse {
         table.schema.findNestedField(Seq(colName), resolver = conf.resolver)
-          .map(_._2.dataType)
+          .map {
+            case (_, StructField(_, st: StringType, _, metadata)) =>
+              CharVarcharUtils.getRawType(metadata).getOrElse(st)
+            case (_, field) => field.dataType
+          }
           .getOrElse {
             throw QueryCompilationErrors.alterColumnCannotFindColumnInV1TableError(
               quoteIfNeeded(colName), table)
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
index 6e72fd28686a0..544d736b56b64 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
@@ -255,6 +255,18 @@ desc formatted char_part
 DescribeTableCommand `spark_catalog`.`default`.`char_part`, true, [col_name#x, data_type#x, comment#x]
 
 
+-- !query
+alter table char_part change column c1 comment 'char comment'
+-- !query analysis
+AlterTableChangeColumnCommand `spark_catalog`.`default`.`char_part`, c1, StructField(c1,CharType(5),true)
+
+
+-- !query
+alter table char_part change column v1 comment 'varchar comment'
+-- !query analysis
+AlterTableChangeColumnCommand `spark_catalog`.`default`.`char_part`, v1, StructField(v1,VarcharType(6),true)
+
+
 -- !query
 alter table char_part add partition (v2='ke', c2='nt') location 'loc1'
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/charvarchar.sql b/sql/core/src/test/resources/sql-tests/inputs/charvarchar.sql
index 8117dec53f4ab..be038e1083cd8 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/charvarchar.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/charvarchar.sql
@@ -49,6 +49,8 @@ desc formatted char_tbl1;
 create table char_part(c1 char(5), c2 char(2), v1 varchar(6), v2 varchar(2)) using parquet partitioned by (v2, c2);
 desc formatted char_part;
 
+alter table char_part change column c1 comment 'char comment';
+alter table char_part change column v1 comment 'varchar comment';
 alter table char_part add partition (v2='ke', c2='nt') location 'loc1';
 desc formatted char_part;
 
diff --git a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
index 888e8a9428910..dd8bdc698ea7f 100644
--- a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
@@ -543,6 +543,22 @@ Location [not included in comparison]/{warehouse_dir}/char_part
 Partition Provider  	Catalog
 
 
+-- !query
+alter table char_part change column c1 comment 'char comment'
+-- !query schema
+struct<>
+-- !query output
+
+
+
+-- !query
+alter table char_part change column v1 comment 'varchar comment'
+-- !query schema
+struct<>
+-- !query output
+
+
+
 -- !query
 alter table char_part add partition (v2='ke', c2='nt') location 'loc1'
 -- !query schema
@@ -556,8 +572,8 @@ desc formatted char_part
 -- !query schema
 struct<col_name:string,data_type:string,comment:string>
 -- !query output
-c1                  	char(5)             	                    
-v1                  	varchar(6)          	                    
+c1                  	char(5)             	char comment        
+v1                  	varchar(6)          	varchar comment     
 v2                  	varchar(2)          	                    
 c2                  	char(2)             	                    
 # Partition Information	                    	                    
@@ -599,8 +615,8 @@ desc formatted char_part
 -- !query schema
 struct<col_name:string,data_type:string,comment:string>
 -- !query output
-c1                  	char(5)             	                    
-v1                  	varchar(6)          	                    
+c1                  	char(5)             	char comment        
+v1                  	varchar(6)          	varchar comment     
 v2                  	varchar(2)          	                    
 c2                  	char(2)             	                    
 # Partition Information	                    	                    
@@ -634,8 +650,8 @@ desc formatted char_part
 -- !query schema
 struct<col_name:string,data_type:string,comment:string>
 -- !query output
-c1                  	char(5)             	                    
-v1                  	varchar(6)          	                    
+c1                  	char(5)             	char comment        
+v1                  	varchar(6)          	varchar comment     
 v2                  	varchar(2)          	                    
 c2                  	char(2)             	                    
 # Partition Information	                    	                    
@@ -669,8 +685,8 @@ desc formatted char_part
 -- !query schema
 struct<col_name:string,data_type:string,comment:string>
 -- !query output
-c1                  	char(5)             	                    
-v1                  	varchar(6)          	                    
+c1                  	char(5)             	char comment        
+v1                  	varchar(6)          	varchar comment     
 v2                  	varchar(2)          	                    
 c2                  	char(2)             	                    
 # Partition Information	                    	                    

From 9a5ae454e0c72d10b19abcfbfa7d985f0947c1b4 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Sat, 5 Oct 2024 07:38:42 +0900
Subject: [PATCH 880/986] [SPARK-49836][SQL][SS] Fix possibly broken query when
 window is provided to window/session_window fn

This PR fixes the correctness issue about losing operators during analysis - it happens when window is provided to window()/session_window() function.

The rule `TimeWindowing` and `SessionWindowing` are responsible to resolve the time window functions. When the window function has `window` as parameter (time column) (in other words, building time window from time window), the rule wraps window with WindowTime function so that the rule ResolveWindowTime will further resolve this. (And TimeWindowing/SessionWindowing will resolve this again against the result of ResolveWindowTime.)

The issue is that the rule uses "return" for the above, which intends to have "early return" as the other branch is too long compared to this branch. This unfortunately does not work as intended - the intention is just to go out of current local scope (mostly end of curly brace), but it seems to break the loop of execution in "outer" side.
(I haven't debugged further but it's simply clear that it doesn't work as intended.)

Quoting from Scala doc:

> Nonlocal returns are implemented by throwing and catching scala.runtime.NonLocalReturnException-s.

It's not super clear where NonLocalReturnException is caught in the call stack; it might exit the execution for much broader scope (context) than expected. And it's finally deprecated in Scala 3.2 and likely be removed in future.

https://dotty.epfl.ch/docs/reference/dropped-features/nonlocal-returns.html

Interestingly it does not break every query for chained time window aggregations. Spark already has several tests with DataFrame API and they haven't failed. The reproducer in community report is using SQL statement - where each aggregation is considered as subquery.

This PR fixes the rule to NOT use early return and instead have a huge if else.

Described in above.

Yes, this fixes the possible query breakage. The impacted workloads may not be very huge as chained time window aggregations is an advanced usage, and it does not break every query for the usage.

New UTs.

No.

Closes #48309 from HeartSaVioR/SPARK-49836.

Lead-authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Co-authored-by: Andrzej Zera <andrzejzera@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit d8c04cf2fb7599c993948df10f4746b70f8c52b9)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../analysis/ResolveTimeWindows.scala         | 248 +++++++++---------
 .../sql/DataFrameSessionWindowingSuite.scala  |  51 ++++
 .../sql/DataFrameTimeWindowingSuite.scala     |  53 ++++
 3 files changed, 228 insertions(+), 124 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
index 1ee218f9369c5..d1b43283e74b9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala
@@ -87,84 +87,84 @@ object TimeWindowing extends Rule[LogicalPlan] {
         val window = windowExpressions.head
 
         if (StructType.acceptsType(window.timeColumn.dataType)) {
-          return p.transformExpressions {
+          p.transformExpressions {
             case t: TimeWindow => t.copy(timeColumn = WindowTime(window.timeColumn))
           }
-        }
-
-        val metadata = window.timeColumn match {
-          case a: Attribute => a.metadata
-          case _ => Metadata.empty
-        }
-
-        val newMetadata = new MetadataBuilder()
-          .withMetadata(metadata)
-          .putBoolean(TimeWindow.marker, true)
-          .build()
+        } else {
+          val metadata = window.timeColumn match {
+            case a: Attribute => a.metadata
+            case _ => Metadata.empty
+          }
 
-        def getWindow(i: Int, dataType: DataType): Expression = {
-          val timestamp = PreciseTimestampConversion(window.timeColumn, dataType, LongType)
-          val remainder = (timestamp - window.startTime) % window.slideDuration
-          val lastStart = timestamp - CaseWhen(Seq((LessThan(remainder, 0),
-            remainder + window.slideDuration)), Some(remainder))
-          val windowStart = lastStart - i * window.slideDuration
-          val windowEnd = windowStart + window.windowDuration
+          val newMetadata = new MetadataBuilder()
+            .withMetadata(metadata)
+            .putBoolean(TimeWindow.marker, true)
+            .build()
 
-          // We make sure value fields are nullable since the dataType of TimeWindow defines them
-          // as nullable.
-          CreateNamedStruct(
-            Literal(WINDOW_START) ::
-              PreciseTimestampConversion(windowStart, LongType, dataType).castNullable() ::
-              Literal(WINDOW_END) ::
-              PreciseTimestampConversion(windowEnd, LongType, dataType).castNullable() ::
-              Nil)
-        }
+          def getWindow(i: Int, dataType: DataType): Expression = {
+            val timestamp = PreciseTimestampConversion(window.timeColumn, dataType, LongType)
+            val remainder = (timestamp - window.startTime) % window.slideDuration
+            val lastStart = timestamp - CaseWhen(Seq((LessThan(remainder, 0),
+              remainder + window.slideDuration)), Some(remainder))
+            val windowStart = lastStart - i * window.slideDuration
+            val windowEnd = windowStart + window.windowDuration
+
+            // We make sure value fields are nullable since the dataType of TimeWindow defines them
+            // as nullable.
+            CreateNamedStruct(
+              Literal(WINDOW_START) ::
+                PreciseTimestampConversion(windowStart, LongType, dataType).castNullable() ::
+                Literal(WINDOW_END) ::
+                PreciseTimestampConversion(windowEnd, LongType, dataType).castNullable() ::
+                Nil)
+          }
 
-        val windowAttr = AttributeReference(
-          WINDOW_COL_NAME, window.dataType, metadata = newMetadata)()
+          val windowAttr = AttributeReference(
+            WINDOW_COL_NAME, window.dataType, metadata = newMetadata)()
 
-        if (window.windowDuration == window.slideDuration) {
-          val windowStruct = Alias(getWindow(0, window.timeColumn.dataType), WINDOW_COL_NAME)(
-            exprId = windowAttr.exprId, explicitMetadata = Some(newMetadata))
+          if (window.windowDuration == window.slideDuration) {
+            val windowStruct = Alias(getWindow(0, window.timeColumn.dataType), WINDOW_COL_NAME)(
+              exprId = windowAttr.exprId, explicitMetadata = Some(newMetadata))
 
-          val replacedPlan = p transformExpressions {
-            case t: TimeWindow => windowAttr
-          }
+            val replacedPlan = p transformExpressions {
+              case t: TimeWindow => windowAttr
+            }
 
-          // For backwards compatibility we add a filter to filter out nulls
-          val filterExpr = IsNotNull(window.timeColumn)
+            // For backwards compatibility we add a filter to filter out nulls
+            val filterExpr = IsNotNull(window.timeColumn)
 
-          replacedPlan.withNewChildren(
-            Project(windowStruct +: child.output,
-              Filter(filterExpr, child)) :: Nil)
-        } else {
-          val overlappingWindows =
-            math.ceil(window.windowDuration * 1.0 / window.slideDuration).toInt
-          val windows =
-            Seq.tabulate(overlappingWindows)(i =>
-              getWindow(i, window.timeColumn.dataType))
-
-          val projections = windows.map(_ +: child.output)
-
-          // When the condition windowDuration % slideDuration = 0 is fulfilled,
-          // the estimation of the number of windows becomes exact one,
-          // which means all produced windows are valid.
-          val filterExpr =
-          if (window.windowDuration % window.slideDuration == 0) {
-            IsNotNull(window.timeColumn)
+            replacedPlan.withNewChildren(
+              Project(windowStruct +: child.output,
+                Filter(filterExpr, child)) :: Nil)
           } else {
-            window.timeColumn >= windowAttr.getField(WINDOW_START) &&
-              window.timeColumn < windowAttr.getField(WINDOW_END)
+            val overlappingWindows =
+              math.ceil(window.windowDuration * 1.0 / window.slideDuration).toInt
+            val windows =
+              Seq.tabulate(overlappingWindows)(i =>
+                getWindow(i, window.timeColumn.dataType))
+
+            val projections = windows.map(_ +: child.output)
+
+            // When the condition windowDuration % slideDuration = 0 is fulfilled,
+            // the estimation of the number of windows becomes exact one,
+            // which means all produced windows are valid.
+            val filterExpr =
+            if (window.windowDuration % window.slideDuration == 0) {
+              IsNotNull(window.timeColumn)
+            } else {
+              window.timeColumn >= windowAttr.getField(WINDOW_START) &&
+                window.timeColumn < windowAttr.getField(WINDOW_END)
+            }
+
+            val substitutedPlan = Filter(filterExpr,
+              Expand(projections, windowAttr +: child.output, child))
+
+            val renamedPlan = p transformExpressions {
+              case t: TimeWindow => windowAttr
+            }
+
+            renamedPlan.withNewChildren(substitutedPlan :: Nil)
           }
-
-          val substitutedPlan = Filter(filterExpr,
-            Expand(projections, windowAttr +: child.output, child))
-
-          val renamedPlan = p transformExpressions {
-            case t: TimeWindow => windowAttr
-          }
-
-          renamedPlan.withNewChildren(substitutedPlan :: Nil)
         }
       } else if (numWindowExpr > 1) {
         throw QueryCompilationErrors.multiTimeWindowExpressionsNotSupportedError(p)
@@ -209,71 +209,71 @@ object SessionWindowing extends Rule[LogicalPlan] {
         val session = sessionExpressions.head
 
         if (StructType.acceptsType(session.timeColumn.dataType)) {
-          return p transformExpressions {
+          p transformExpressions {
             case t: SessionWindow => t.copy(timeColumn = WindowTime(session.timeColumn))
           }
-        }
+        } else {
+          val metadata = session.timeColumn match {
+            case a: Attribute => a.metadata
+            case _ => Metadata.empty
+          }
 
-        val metadata = session.timeColumn match {
-          case a: Attribute => a.metadata
-          case _ => Metadata.empty
-        }
+          val newMetadata = new MetadataBuilder()
+            .withMetadata(metadata)
+            .putBoolean(SessionWindow.marker, true)
+            .build()
 
-        val newMetadata = new MetadataBuilder()
-          .withMetadata(metadata)
-          .putBoolean(SessionWindow.marker, true)
-          .build()
-
-        val sessionAttr = AttributeReference(
-          SESSION_COL_NAME, session.dataType, metadata = newMetadata)()
-
-        val sessionStart =
-          PreciseTimestampConversion(session.timeColumn, session.timeColumn.dataType, LongType)
-        val gapDuration = session.gapDuration match {
-          case expr if Cast.canCast(expr.dataType, CalendarIntervalType) =>
-            Cast(expr, CalendarIntervalType)
-          case other =>
-            throw QueryCompilationErrors.sessionWindowGapDurationDataTypeError(other.dataType)
-        }
-        val sessionEnd = PreciseTimestampConversion(session.timeColumn + gapDuration,
-          session.timeColumn.dataType, LongType)
-
-        // We make sure value fields are nullable since the dataType of SessionWindow defines them
-        // as nullable.
-        val literalSessionStruct = CreateNamedStruct(
-          Literal(SESSION_START) ::
-            PreciseTimestampConversion(sessionStart, LongType, session.timeColumn.dataType)
-              .castNullable() ::
-            Literal(SESSION_END) ::
-            PreciseTimestampConversion(sessionEnd, LongType, session.timeColumn.dataType)
-              .castNullable() ::
-            Nil)
-
-        val sessionStruct = Alias(literalSessionStruct, SESSION_COL_NAME)(
-          exprId = sessionAttr.exprId, explicitMetadata = Some(newMetadata))
+          val sessionAttr = AttributeReference(
+            SESSION_COL_NAME, session.dataType, metadata = newMetadata)()
 
-        val replacedPlan = p transformExpressions {
-          case s: SessionWindow => sessionAttr
-        }
+          val sessionStart =
+            PreciseTimestampConversion(session.timeColumn, session.timeColumn.dataType, LongType)
+          val gapDuration = session.gapDuration match {
+            case expr if Cast.canCast(expr.dataType, CalendarIntervalType) =>
+              Cast(expr, CalendarIntervalType)
+            case other =>
+              throw QueryCompilationErrors.sessionWindowGapDurationDataTypeError(other.dataType)
+          }
+          val sessionEnd = PreciseTimestampConversion(session.timeColumn + gapDuration,
+            session.timeColumn.dataType, LongType)
 
-        val filterByTimeRange = session.gapDuration match {
-          case Literal(interval: CalendarInterval, CalendarIntervalType) =>
-            interval == null || interval.months + interval.days + interval.microseconds <= 0
-          case _ => true
-        }
+          // We make sure value fields are nullable since the dataType of SessionWindow defines them
+          // as nullable.
+          val literalSessionStruct = CreateNamedStruct(
+            Literal(SESSION_START) ::
+              PreciseTimestampConversion(sessionStart, LongType, session.timeColumn.dataType)
+                .castNullable() ::
+              Literal(SESSION_END) ::
+              PreciseTimestampConversion(sessionEnd, LongType, session.timeColumn.dataType)
+                .castNullable() ::
+              Nil)
 
-        // As same as tumbling window, we add a filter to filter out nulls.
-        // And we also filter out events with negative or zero or invalid gap duration.
-        val filterExpr = if (filterByTimeRange) {
-          IsNotNull(session.timeColumn) &&
-            (sessionAttr.getField(SESSION_END) > sessionAttr.getField(SESSION_START))
-        } else {
-          IsNotNull(session.timeColumn)
-        }
+          val sessionStruct = Alias(literalSessionStruct, SESSION_COL_NAME)(
+            exprId = sessionAttr.exprId, explicitMetadata = Some(newMetadata))
 
-        replacedPlan.withNewChildren(
-          Filter(filterExpr,
-            Project(sessionStruct +: child.output, child)) :: Nil)
+          val replacedPlan = p transformExpressions {
+            case s: SessionWindow => sessionAttr
+          }
+
+          val filterByTimeRange = session.gapDuration match {
+            case Literal(interval: CalendarInterval, CalendarIntervalType) =>
+              interval == null || interval.months + interval.days + interval.microseconds <= 0
+            case _ => true
+          }
+
+          // As same as tumbling window, we add a filter to filter out nulls.
+          // And we also filter out events with negative or zero or invalid gap duration.
+          val filterExpr = if (filterByTimeRange) {
+            IsNotNull(session.timeColumn) &&
+              (sessionAttr.getField(SESSION_END) > sessionAttr.getField(SESSION_START))
+          } else {
+            IsNotNull(session.timeColumn)
+          }
+
+          replacedPlan.withNewChildren(
+            Filter(filterExpr,
+              Project(sessionStruct +: child.output, child)) :: Nil)
+        }
       } else if (numWindowExpr > 1) {
         throw QueryCompilationErrors.multiTimeWindowExpressionsNotSupportedError(p)
       } else {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
index 1ac1dda374fa7..6c1ca94a03079 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSessionWindowingSuite.scala
@@ -547,4 +547,55 @@ class DataFrameSessionWindowingSuite extends QueryTest with SharedSparkSession
       }
     }
   }
+
+  test("SPARK-49836 using window fn with window as parameter should preserve parent operator") {
+    withTempView("clicks") {
+      val df = Seq(
+        // small window: [00:00, 01:00), user1, 2
+        ("2024-09-30 00:00:00", "user1"), ("2024-09-30 00:00:30", "user1"),
+        // small window: [01:00, 02:00), user2, 2
+        ("2024-09-30 00:01:00", "user2"), ("2024-09-30 00:01:30", "user2"),
+        // small window: [03:00, 04:00), user1, 1
+        ("2024-09-30 00:03:30", "user1"),
+        // small window: [11:00, 12:00), user1, 3
+        ("2024-09-30 00:11:00", "user1"), ("2024-09-30 00:11:30", "user1"),
+        ("2024-09-30 00:11:45", "user1")
+      ).toDF("eventTime", "userId")
+
+      // session window: (01:00, 09:00), user1, 3 / (02:00, 07:00), user2, 2 /
+      //   (12:00, 12:05), user1, 3
+
+      df.createOrReplaceTempView("clicks")
+
+      val aggregatedData = spark.sql(
+        """
+          |SELECT
+          |  userId,
+          |  avg(cpu_large.numClicks) AS clicksPerSession
+          |FROM
+          |(
+          |  SELECT
+          |    session_window(small_window, '5 minutes') AS session,
+          |    userId,
+          |    sum(numClicks) AS numClicks
+          |  FROM
+          |  (
+          |    SELECT
+          |      window(eventTime, '1 minute') AS small_window,
+          |      userId,
+          |      count(*) AS numClicks
+          |    FROM clicks
+          |    GROUP BY window, userId
+          |  ) cpu_small
+          |  GROUP BY session_window, userId
+          |) cpu_large
+          |GROUP BY userId
+          |""".stripMargin)
+
+      checkAnswer(
+        aggregatedData,
+        Seq(Row("user1", 3), Row("user2", 2))
+      )
+    }
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
index 6ee173bc6af67..c52d428cd5dd4 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql
 
+import java.sql.Timestamp
 import java.time.LocalDateTime
 
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
@@ -714,4 +715,56 @@ class DataFrameTimeWindowingSuite extends QueryTest with SharedSparkSession {
       )
     }
   }
+
+  test("SPARK-49836 using window fn with window as parameter should preserve parent operator") {
+    withTempView("clicks") {
+      val df = Seq(
+        // small window: [00:00, 01:00), user1, 2
+        ("2024-09-30 00:00:00", "user1"), ("2024-09-30 00:00:30", "user1"),
+        // small window: [01:00, 02:00), user2, 2
+        ("2024-09-30 00:01:00", "user2"), ("2024-09-30 00:01:30", "user2"),
+        // small window: [07:00, 08:00), user1, 1
+        ("2024-09-30 00:07:00", "user1"),
+        // small window: [11:00, 12:00), user1, 3
+        ("2024-09-30 00:11:00", "user1"), ("2024-09-30 00:11:30", "user1"),
+        ("2024-09-30 00:11:45", "user1")
+      ).toDF("eventTime", "userId")
+
+      // large window: [00:00, 10:00), user1, 3, [00:00, 10:00), user2, 2, [10:00, 20:00), user1, 3
+
+      df.createOrReplaceTempView("clicks")
+
+      val aggregatedData = spark.sql(
+        """
+          |SELECT
+          |  cpu_large.large_window.end AS timestamp,
+          |  avg(cpu_large.numClicks) AS avgClicksPerUser
+          |FROM
+          |(
+          |  SELECT
+          |    window(small_window, '10 minutes') AS large_window,
+          |    userId,
+          |    sum(numClicks) AS numClicks
+          |  FROM
+          |  (
+          |    SELECT
+          |      window(eventTime, '1 minute') AS small_window,
+          |      userId,
+          |      count(*) AS numClicks
+          |    FROM clicks
+          |    GROUP BY window, userId
+          |  ) cpu_small
+          |  GROUP BY window, userId
+          |) cpu_large
+          |GROUP BY timestamp
+          |""".stripMargin)
+
+      checkAnswer(
+        aggregatedData,
+        Seq(
+          Row(Timestamp.valueOf("2024-09-30 00:10:00"), 2.5),
+          Row(Timestamp.valueOf("2024-09-30 00:20:00"), 3))
+      )
+    }
+  }
 }

From ca8407b9733882fd28a6f94fd88aef27f3b648d0 Mon Sep 17 00:00:00 2001
From: maheshbehera <maheshbehera@microsoft.com>
Date: Sat, 5 Oct 2024 12:56:52 +0800
Subject: [PATCH 881/986] [SPARK-47702][CORE][3.5] Remove Shuffle service
 endpoint from the locations list when RDD block is removed form a node

Credit to maheshk114 for the initial investigation and the fix.

This PR fix a bug where the shuffle service's ID is kept among the block location list at the removing of a RDD block from a node. Before this change `StorageLevel.NONE` is used to notify about the block remove which causes the block manager master ignoring the update of the locations for shuffle service's IDs (for details please see the method `BlockManagerMasterEndpoint#updateBlockInfo()` and keep in mind `StorageLevel.NONE.useDisk` is `false`). But after this change only the replication count is set to 0 to notify the block remove so `StorageLevel#isValid` is still false but `storageLevel.useDisk` is kept as `true` this way the the shuffle service's ID will be removed from the block location list.

If the block location is not updated properly, then tasks fails with fetch failed exception. The tasks will try to read the RDD blocks from a node using external shuffle service. The read will fail, if the node is already decommissioned.

```
WARN BlockManager [Executor task launch worker for task 25.0 in stage 6.0 (TID 1567)]: Failed to fetch remote block rdd_5_25 from BlockManagerId(4, vm-92303839, 7337, None) (failed attempt 1)
org.apache.spark.SparkException: Exception thrown in awaitResult:
	at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
	at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:103)
	at org.apache.spark.storage.BlockManager.fetchRemoteManagedBuffer(BlockManager.scala:1155)
	at org.apache.spark.storage.BlockManager.$anonfun$getRemoteBlock$8(BlockManager.scala:1099)
	at scala.Option.orElse(Option.scala:447)
	at org.apache.spark.storage.BlockManager.getRemoteBlock(BlockManager.scala:1099)
	at org.apache.spark.storage.BlockManager.getRemoteValues(BlockManager.scala:1045)
	at org.apache.spark.storage.BlockManager.get(BlockManager.scala:1264)
	at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1326)
```

No

Added a new UT.

No

Closes #48357 from attilapiros/SPARK-47702-Spark3.5.

Authored-by: maheshbehera <maheshbehera@microsoft.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../apache/spark/storage/BlockManager.scala   |  6 ++--
 .../BlockManagerReplicationSuite.scala        | 36 +++++++++++++++++++
 .../spark/storage/BlockManagerSuite.scala     | 13 ++++---
 3 files changed, 48 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index 6de6069d2fea5..1b56aa7ade125 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -2082,8 +2082,10 @@ private[spark] class BlockManager(
       hasRemoveBlock = true
       if (tellMaster) {
         // Only update storage level from the captured block status before deleting, so that
-        // memory size and disk size are being kept for calculating delta.
-        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = StorageLevel.NONE))
+        // memory size and disk size are being kept for calculating delta. Reset the replica
+        // count 0 in storage level to notify that it is a remove operation.
+        val storageLevel = StorageLevel(blockStatus.get.storageLevel.toInt, 0)
+        reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = storageLevel))
       }
     } finally {
       if (!hasRemoveBlock) {
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
index 38a669bc85744..29526684c3e9f 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerReplicationSuite.scala
@@ -38,6 +38,8 @@ import org.apache.spark.internal.config.Tests._
 import org.apache.spark.memory.UnifiedMemoryManager
 import org.apache.spark.network.BlockTransferService
 import org.apache.spark.network.netty.NettyBlockTransferService
+import org.apache.spark.network.shuffle.ExternalBlockStoreClient
+import org.apache.spark.network.util.{MapConfigProvider, TransportConf}
 import org.apache.spark.rpc.RpcEnv
 import org.apache.spark.scheduler.LiveListenerBus
 import org.apache.spark.serializer.{KryoSerializer, SerializerManager}
@@ -295,6 +297,40 @@ trait BlockManagerReplicationBehavior extends SparkFunSuite
     }
   }
 
+  test("Test block location after replication with SHUFFLE_SERVICE_FETCH_RDD_ENABLED enabled") {
+    val newConf = conf.clone()
+    newConf.set(SHUFFLE_SERVICE_ENABLED, true)
+    newConf.set(SHUFFLE_SERVICE_FETCH_RDD_ENABLED, true)
+    val blockManagerInfo = new mutable.HashMap[BlockManagerId, BlockManagerInfo]()
+    val shuffleClient = Some(new ExternalBlockStoreClient(
+        new TransportConf("shuffle", MapConfigProvider.EMPTY),
+        null, false, 5000))
+    master = new BlockManagerMaster(rpcEnv.setupEndpoint("blockmanager-2",
+      new BlockManagerMasterEndpoint(rpcEnv, true, newConf,
+        new LiveListenerBus(newConf), shuffleClient, blockManagerInfo, mapOutputTracker,
+        sc.env.shuffleManager, isDriver = true)),
+      rpcEnv.setupEndpoint("blockmanagerHeartbeat-2",
+      new BlockManagerMasterHeartbeatEndpoint(rpcEnv, true, blockManagerInfo)), newConf, true)
+
+    val shuffleServicePort = newConf.get(SHUFFLE_SERVICE_PORT)
+    val store1 = makeBlockManager(10000, "host-1")
+    val store2 = makeBlockManager(10000, "host-2")
+    assert(master.getPeers(store1.blockManagerId).toSet === Set(store2.blockManagerId))
+
+    val blockId = RDDBlockId(1, 2)
+    val message = new Array[Byte](1000)
+
+    // if SHUFFLE_SERVICE_FETCH_RDD_ENABLED is enabled, then shuffle port should be present.
+    store1.putSingle(blockId, message, StorageLevel.DISK_ONLY)
+    assert(master.getLocations(blockId).contains(
+      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
+
+    // after block is removed, shuffle port should be removed.
+    store1.removeBlock(blockId, true)
+    assert(!master.getLocations(blockId).contains(
+      BlockManagerId("host-1", "localhost", shuffleServicePort, None)))
+  }
+
   test("block replication - addition and deletion of block managers") {
     val blockSize = 1000
     val storeSize = 10000
diff --git a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
index ecd66dc2c5fb0..728e3a252b7a1 100644
--- a/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
@@ -33,7 +33,7 @@ import scala.reflect.classTag
 import com.esotericsoftware.kryo.KryoException
 import org.apache.commons.lang3.RandomUtils
 import org.mockito.{ArgumentCaptor, ArgumentMatchers => mc}
-import org.mockito.Mockito.{doAnswer, mock, never, spy, times, verify, when}
+import org.mockito.Mockito.{atLeastOnce, doAnswer, mock, never, spy, times, verify, when}
 import org.scalatest.PrivateMethodTester
 import org.scalatest.concurrent.{Signaler, ThreadSignaler, TimeLimits}
 import org.scalatest.concurrent.Eventually._
@@ -666,7 +666,7 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
       removedFromMemory: Boolean,
       removedFromDisk: Boolean): Unit = {
     def assertSizeReported(captor: ArgumentCaptor[Long], expectRemoved: Boolean): Unit = {
-      assert(captor.getAllValues().size() === 1)
+      assert(captor.getAllValues().size() >= 1)
       if (expectRemoved) {
         assert(captor.getValue() > 0)
       } else {
@@ -676,15 +676,18 @@ class BlockManagerSuite extends SparkFunSuite with Matchers with PrivateMethodTe
 
     val memSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
     val diskSizeCaptor = ArgumentCaptor.forClass(classOf[Long]).asInstanceOf[ArgumentCaptor[Long]]
-    verify(master).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      mc.eq(StorageLevel.NONE), memSizeCaptor.capture(), diskSizeCaptor.capture())
+    val storageLevelCaptor =
+      ArgumentCaptor.forClass(classOf[StorageLevel]).asInstanceOf[ArgumentCaptor[StorageLevel]]
+    verify(master, atLeastOnce()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
+      storageLevelCaptor.capture(), memSizeCaptor.capture(), diskSizeCaptor.capture())
     assertSizeReported(memSizeCaptor, removedFromMemory)
     assertSizeReported(diskSizeCaptor, removedFromDisk)
+    assert(storageLevelCaptor.getValue.replication == 0)
   }
 
   private def assertUpdateBlockInfoNotReported(store: BlockManager, blockId: BlockId): Unit = {
     verify(master, never()).updateBlockInfo(mc.eq(store.blockManagerId), mc.eq(blockId),
-      mc.eq(StorageLevel.NONE), mc.anyInt(), mc.anyInt())
+      mc.any[StorageLevel](), mc.anyInt(), mc.anyInt())
   }
 
   test("reregistration on heart beat") {

From 4d93a30e554db6c7fe749dcfecd09c4ed45d2982 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 7 Oct 2024 16:52:57 +0900
Subject: [PATCH 882/986] [SPARK-49806][PYTHON][TESTS][FOLLOW-UP] Skip newline
 difference in Spark Connect compatibility test

### What changes were proposed in this pull request?

This PR is a followup of https://github.com/apache/spark/pull/48277 that disables newline related tests in Spark Connect compatibility test.

### Why are the changes needed?

To make the Spark Connect build pass. Currently, it fails as below (https://github.com/apache/spark/actions/runs/11186932292/job/31102993825):

```
======================================================================
FAIL [0.100s]: test_repr_behaviors (pyspark.sql.tests.connect.test_parity_dataframe.DataFrameParityTests.test_repr_behaviors)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/test_dataframe.py", line 1586, in test_repr_behaviors
    self.assertEqual(re.sub(pattern, "", expected3), df.__repr__())
AssertionError: '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row\n' != '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row'
  +---+-----+
  |key|value|
  +---+-----+
  |  1|    1|
  +---+-----+
- only showing top 1 row
?                       -
+ only showing top 1 row
```

### Does this PR introduce _any_ user-facing change?

No, test-only.

### How was this patch tested?

Manaully.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48361 from HyukjinKwon/SPARK-49806-follow-up.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/sql/tests/test_dataframe.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/python/pyspark/sql/tests/test_dataframe.py b/python/pyspark/sql/tests/test_dataframe.py
index 887648018cf3f..2f80a56e96002 100644
--- a/python/pyspark/sql/tests/test_dataframe.py
+++ b/python/pyspark/sql/tests/test_dataframe.py
@@ -1550,6 +1550,9 @@ def test_create_dataframe_from_pandas_with_day_time_interval(self):
         df = self.spark.createDataFrame(pd.DataFrame({"a": [timedelta(microseconds=123)]}))
         self.assertEqual(df.toPandas().a.iloc[0], timedelta(microseconds=123))
 
+    @unittest.skipIf(
+        "SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Newline difference from the server"
+    )
     def test_repr_behaviors(self):
         import re
 

From 4472fb26ec4af3398389cd4f96bc9d94663895a9 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Wed, 9 Oct 2024 14:22:11 +0200
Subject: [PATCH 883/986] [SPARK-49909][SQL][3.5] Fix the pretty name of some
 expressions

### What changes were proposed in this pull request?
The pr aims to fix the `pretty name` of some `expressions`, includes: `random`, `to_varchar`, `current_database`, `curdate`, `dateadd` and `array_agg`.
(PS: The pr is backport branch-3.5, master pr is: https://github.com/apache/spark/pull/48385)

### Why are the changes needed?
The actual function name used does not match the displayed name, as shown below:
- Before:
<img width="573" alt="image" src="https://github.com/user-attachments/assets/f5785c80-f6cb-494f-a15e-9258eca688a7">

- After:
<img width="570" alt="image" src="https://github.com/user-attachments/assets/792a7092-ccbf-49f4-a616-19110e5c2361">

### Does this PR introduce _any_ user-facing change?
Yes, Make the header of the data seen by the end-user from `Spark SQL` consistent with the `actual function name` used.

### How was this patch tested?
- Pass GA.
- Update existed UT.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #48393 from panbingkun/branch-3.5_SPARK-49909.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../function_array_agg.explain                |  2 +-
 .../explain-results/function_curdate.explain  |  2 +-
 .../function_current_schema.explain           |  2 +-
 .../explain-results/function_dateadd.explain  |  2 +-
 .../function_random_with_seed.explain         |  2 +-
 .../function_to_varchar.explain               |  2 +-
 python/pyspark/sql/functions.py               | 30 +++++++++----------
 .../expressions/aggregate/collect.scala       |  5 ++--
 .../expressions/datetimeExpressions.scala     |  5 ++--
 .../spark/sql/catalyst/expressions/misc.scala |  5 ++--
 .../expressions/numberFormatExpressions.scala |  7 +++--
 .../expressions/randomExpressions.scala       |  8 +++--
 .../sql-functions/sql-expression-schema.md    | 20 ++++++-------
 .../analyzer-results/charvarchar.sql.out      |  6 ++--
 .../current_database_catalog.sql.out          |  2 +-
 .../analyzer-results/group-by.sql.out         |  4 +--
 .../sql-tests/results/charvarchar.sql.out     |  6 ++--
 .../results/current_database_catalog.sql.out  |  2 +-
 .../sql-tests/results/group-by.sql.out        |  4 +--
 .../results/subexp-elimination.sql.out        |  6 ++--
 20 files changed, 66 insertions(+), 56 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
index 102f736c62ef6..6668692f6cf1d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
@@ -1,2 +1,2 @@
-Aggregate [collect_list(a#0, 0, 0) AS collect_list(a)#0]
+Aggregate [array_agg(a#0, 0, 0) AS array_agg(a)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
index 5305b346c4f2d..be039d62a5494 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
@@ -1,2 +1,2 @@
-Project [current_date(Some(America/Los_Angeles)) AS current_date()#0]
+Project [curdate(Some(America/Los_Angeles)) AS curdate()#0]
 +- LocalRelation <empty>, [d#0, t#0, s#0, x#0L, wt#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
index 93dfac524d9a1..481c0a478c8df 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
@@ -1,2 +1,2 @@
-Project [current_database() AS current_database()#0]
+Project [current_schema() AS current_schema()#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
index 66325085b9c14..319428541760d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
@@ -1,2 +1,2 @@
-Project [date_add(d#0, 2) AS date_add(d, 2)#0]
+Project [dateadd(d#0, 2) AS dateadd(d, 2)#0]
 +- LocalRelation <empty>, [d#0, t#0, s#0, x#0L, wt#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
index 81c81e95c2bdd..5854d2c7fa6be 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
@@ -1,2 +1,2 @@
-Project [random(1) AS rand(1)#0]
+Project [random(1) AS random(1)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
index f0d9cacc61ac5..cc5149bfed863 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
@@ -1,2 +1,2 @@
-Project [to_char(cast(b#0 as decimal(30,15)), $99.99) AS to_char(b, $99.99)#0]
+Project [to_varchar(cast(b#0 as decimal(30,15)), $99.99) AS to_varchar(b, $99.99)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 7e1a8faf00178..173f4da59f184 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -6710,31 +6710,31 @@ def dateadd(start: "ColumnOrName", days: Union["ColumnOrName", int]) -> Column:
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", 1)).show()
-    +---------------+
-    |date_add(dt, 1)|
-    +---------------+
-    |     2015-04-09|
-    +---------------+
+    +--------------+
+    |dateadd(dt, 1)|
+    +--------------+
+    |    2015-04-09|
+    +--------------+
 
     >>> import pyspark.sql.functions as sf
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", sf.lit(2))).show()
-    +---------------+
-    |date_add(dt, 2)|
-    +---------------+
-    |     2015-04-10|
-    +---------------+
+    +--------------+
+    |dateadd(dt, 2)|
+    +--------------+
+    |    2015-04-10|
+    +--------------+
 
     >>> import pyspark.sql.functions as sf
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", -1)).show()
-    +----------------+
-    |date_add(dt, -1)|
-    +----------------+
-    |      2015-04-07|
-    +----------------+
+    +---------------+
+    |dateadd(dt, -1)|
+    +---------------+
+    |     2015-04-07|
+    +---------------+
     """
     days = lit(days) if isinstance(days, int) else days
     return _invoke_function_over_columns("dateadd", start, days)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
index 7bbc930ceab59..770d9c281fefb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
@@ -21,7 +21,7 @@ import scala.collection.generic.Growable
 import scala.collection.mutable
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, TypeCheckResult}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.trees.UnaryLike
@@ -118,7 +118,8 @@ case class CollectList(
 
   override def createAggregationBuffer(): mutable.ArrayBuffer[Any] = mutable.ArrayBuffer.empty
 
-  override def prettyName: String = "collect_list"
+  override def prettyName: String =
+    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("collect_list")
 
   override def eval(buffer: mutable.ArrayBuffer[Any]): Any = {
     new GenericArrayData(buffer.toArray)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
index 51ddf2b85f8c2..9511df50a2652 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
@@ -150,7 +150,8 @@ case class CurrentDate(timeZoneId: Option[String] = None)
 
   override def eval(input: InternalRow): Any = currentDate(zoneId)
 
-  override def prettyName: String = "current_date"
+  override def prettyName: String =
+    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("current_date")
 }
 
 // scalastyle:off line.size.limit
@@ -340,7 +341,7 @@ case class DateAdd(startDate: Expression, days: Expression)
     })
   }
 
-  override def prettyName: String = "date_add"
+  override def prettyName: String = getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("date_add")
 
   override protected def withNewChildrenInternal(
     newLeft: Expression, newRight: Expression): DateAdd = copy(startDate = newLeft, days = newRight)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
index 92ed08435216b..12bdefc832740 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.{SPARK_REVISION, SPARK_VERSION_SHORT}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.UnresolvedSeed
+import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, UnresolvedSeed}
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
@@ -164,7 +164,8 @@ object AssertTrue {
 case class CurrentDatabase() extends LeafExpression with Unevaluable {
   override def dataType: DataType = StringType
   override def nullable: Boolean = false
-  override def prettyName: String = "current_database"
+  override def prettyName: String =
+    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("current_database")
   final override val nodePatterns: Seq[TreePattern] = Seq(CURRENT_LIKE)
 }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
index 9dcca65efe5a8..17ada5a6f3d77 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.expressions
 
 import java.util.Locale
 
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, TypeCheckResult}
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodeGenerator, ExprCode}
@@ -257,7 +257,10 @@ case class ToCharacter(left: Expression, right: Expression)
       inputTypeCheck
     }
   }
-  override def prettyName: String = "to_char"
+
+  override def prettyName: String =
+    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("to_char")
+
   override def nullSafeEval(decimal: Any, format: Any): Any = {
     val input = decimal.asInstanceOf[Decimal]
     numberFormatter.format(input)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
index db78415a0cc54..17c5362f98f46 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.UnresolvedSeed
+import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, UnresolvedSeed}
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodeGenerator, ExprCode, FalseLiteral}
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.trees.TreePattern.{EXPRESSION_WITH_RANDOM_SEED, TreePattern}
@@ -111,8 +111,12 @@ case class Rand(child: Expression, hideSeed: Boolean = false) extends RDG {
   }
 
   override def flatArguments: Iterator[Any] = Iterator(child)
+
+  override def prettyName: String =
+    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("rand")
+
   override def sql: String = {
-    s"rand(${if (hideSeed) "" else child.sql})"
+    s"$prettyName(${if (hideSeed) "" else child.sql})"
   }
 
   override protected def withNewChildInternal(newChild: Expression): Rand = copy(child = newChild)
diff --git a/sql/core/src/test/resources/sql-functions/sql-expression-schema.md b/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
index 71fde8c7268cc..66e5b08d171fa 100644
--- a/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
+++ b/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
@@ -96,17 +96,17 @@
 | org.apache.spark.sql.catalyst.expressions.Csc | csc | SELECT csc(1) | struct<CSC(1):double> |
 | org.apache.spark.sql.catalyst.expressions.CsvToStructs | from_csv | SELECT from_csv('1, 0.8', 'a INT, b DOUBLE') | struct<from_csv(1, 0.8):struct<a:int,b:double>> |
 | org.apache.spark.sql.catalyst.expressions.CumeDist | cume_dist | SELECT a, b, cume_dist() OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b) | struct<a:string,b:int,cume_dist() OVER (PARTITION BY a ORDER BY b ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):double> |
-| org.apache.spark.sql.catalyst.expressions.CurDateExpressionBuilder | curdate | SELECT curdate() | struct<current_date():date> |
+| org.apache.spark.sql.catalyst.expressions.CurDateExpressionBuilder | curdate | SELECT curdate() | struct<curdate():date> |
 | org.apache.spark.sql.catalyst.expressions.CurrentCatalog | current_catalog | SELECT current_catalog() | struct<current_catalog():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_database | SELECT current_database() | struct<current_database():string> |
-| org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_schema | SELECT current_schema() | struct<current_database():string> |
+| org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_schema | SELECT current_schema() | struct<current_schema():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentDate | current_date | SELECT current_date() | struct<current_date():date> |
 | org.apache.spark.sql.catalyst.expressions.CurrentTimeZone | current_timezone | SELECT current_timezone() | struct<current_timezone():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentTimestamp | current_timestamp | SELECT current_timestamp() | struct<current_timestamp():timestamp> |
 | org.apache.spark.sql.catalyst.expressions.CurrentUser | current_user | SELECT current_user() | struct<current_user():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentUser | user | SELECT user() | struct<current_user():string> |
 | org.apache.spark.sql.catalyst.expressions.DateAdd | date_add | SELECT date_add('2016-07-30', 1) | struct<date_add(2016-07-30, 1):date> |
-| org.apache.spark.sql.catalyst.expressions.DateAdd | dateadd | SELECT dateadd('2016-07-30', 1) | struct<date_add(2016-07-30, 1):date> |
+| org.apache.spark.sql.catalyst.expressions.DateAdd | dateadd | SELECT dateadd('2016-07-30', 1) | struct<dateadd(2016-07-30, 1):date> |
 | org.apache.spark.sql.catalyst.expressions.DateDiff | date_diff | SELECT date_diff('2009-07-31', '2009-07-30') | struct<date_diff(2009-07-31, 2009-07-30):int> |
 | org.apache.spark.sql.catalyst.expressions.DateDiff | datediff | SELECT datediff('2009-07-31', '2009-07-30') | struct<datediff(2009-07-31, 2009-07-30):int> |
 | org.apache.spark.sql.catalyst.expressions.DateFormatClass | date_format | SELECT date_format('2016-04-08', 'y') | struct<date_format(2016-04-08, y):string> |
@@ -131,8 +131,8 @@
 | org.apache.spark.sql.catalyst.expressions.EqualTo | == | SELECT 2 == 2 | struct<(2 = 2):boolean> |
 | org.apache.spark.sql.catalyst.expressions.EulerNumber | e | SELECT e() | struct<E():double> |
 | org.apache.spark.sql.catalyst.expressions.Exp | exp | SELECT exp(0) | struct<EXP(0):double> |
-| org.apache.spark.sql.catalyst.expressions.Explode | explode | SELECT explode(array(10, 20)) | struct<col:int> |
-| org.apache.spark.sql.catalyst.expressions.Explode | explode_outer | SELECT explode_outer(array(10, 20)) | struct<col:int> |
+| org.apache.spark.sql.catalyst.expressions.ExplodeExpressionBuilder | explode | SELECT explode(array(10, 20)) | struct<col:int> |
+| org.apache.spark.sql.catalyst.expressions.ExplodeExpressionBuilder | explode_outer | SELECT explode_outer(array(10, 20)) | struct<col:int> |
 | org.apache.spark.sql.catalyst.expressions.Expm1 | expm1 | SELECT expm1(0) | struct<EXPM1(0):double> |
 | org.apache.spark.sql.catalyst.expressions.Extract | extract | SELECT extract(YEAR FROM TIMESTAMP '2019-08-12 01:00:00.123456') | struct<extract(YEAR FROM TIMESTAMP '2019-08-12 01:00:00.123456'):int> |
 | org.apache.spark.sql.catalyst.expressions.Factorial | factorial | SELECT factorial(5) | struct<factorial(5):bigint> |
@@ -212,7 +212,7 @@
 | org.apache.spark.sql.catalyst.expressions.MapKeys | map_keys | SELECT map_keys(map(1, 'a', 2, 'b')) | struct<map_keys(map(1, a, 2, b)):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.MapValues | map_values | SELECT map_values(map(1, 'a', 2, 'b')) | struct<map_values(map(1, a, 2, b)):array<string>> |
 | org.apache.spark.sql.catalyst.expressions.MapZipWith | map_zip_with | SELECT map_zip_with(map(1, 'a', 2, 'b'), map(1, 'x', 2, 'y'), (k, v1, v2) -> concat(v1, v2)) | struct<map_zip_with(map(1, a, 2, b), map(1, x, 2, y), lambdafunction(concat(namedlambdavariable(), namedlambdavariable()), namedlambdavariable(), namedlambdavariable(), namedlambdavariable())):map<int,string>> |
-| org.apache.spark.sql.catalyst.expressions.Mask | mask | SELECT mask('abcd-EFGH-8765-4321') | struct<mask(abcd-EFGH-8765-4321, X, x, n, NULL):string> |
+| org.apache.spark.sql.catalyst.expressions.MaskExpressionBuilder | mask | SELECT mask('abcd-EFGH-8765-4321') | struct<mask(abcd-EFGH-8765-4321, X, x, n, NULL):string> |
 | org.apache.spark.sql.catalyst.expressions.Md5 | md5 | SELECT md5('Spark') | struct<md5(Spark):string> |
 | org.apache.spark.sql.catalyst.expressions.MicrosToTimestamp | timestamp_micros | SELECT timestamp_micros(1230219000123123) | struct<timestamp_micros(1230219000123123):timestamp> |
 | org.apache.spark.sql.catalyst.expressions.MillisToTimestamp | timestamp_millis | SELECT timestamp_millis(1230219000123) | struct<timestamp_millis(1230219000123):timestamp> |
@@ -255,7 +255,7 @@
 | org.apache.spark.sql.catalyst.expressions.RPadExpressionBuilder | rpad | SELECT rpad('hi', 5, '??') | struct<rpad(hi, 5, ??):string> |
 | org.apache.spark.sql.catalyst.expressions.RaiseError | raise_error | SELECT raise_error('custom error message') | struct<raise_error(custom error message):void> |
 | org.apache.spark.sql.catalyst.expressions.Rand | rand | SELECT rand() | struct<rand():double> |
-| org.apache.spark.sql.catalyst.expressions.Rand | random | SELECT random() | struct<rand():double> |
+| org.apache.spark.sql.catalyst.expressions.Rand | random | SELECT random() | struct<random():double> |
 | org.apache.spark.sql.catalyst.expressions.Randn | randn | SELECT randn() | struct<randn():double> |
 | org.apache.spark.sql.catalyst.expressions.Rank | rank | SELECT a, b, rank(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b) | struct<a:string,b:int,RANK() OVER (PARTITION BY a ORDER BY b ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):int> |
 | org.apache.spark.sql.catalyst.expressions.RegExpCount | regexp_count | SELECT regexp_count('Steven Jones and Stephen Smith are the best players', 'Ste(v&#124;ph)en') | struct<regexp_count(Steven Jones and Stephen Smith are the best players, Ste(v&#124;ph)en):int> |
@@ -325,7 +325,7 @@
 | org.apache.spark.sql.catalyst.expressions.TimeWindow | window | SELECT a, window.start, window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:06:00'), ('A2', '2021-01-01 00:01:00') AS tab(a, b) GROUP by a, window(b, '5 minutes') ORDER BY a, start | struct<a:string,start:timestamp,end:timestamp,cnt:bigint> |
 | org.apache.spark.sql.catalyst.expressions.ToBinary | to_binary | SELECT to_binary('abc', 'utf-8') | struct<to_binary(abc, utf-8):binary> |
 | org.apache.spark.sql.catalyst.expressions.ToCharacter | to_char | SELECT to_char(454, '999') | struct<to_char(454, 999):string> |
-| org.apache.spark.sql.catalyst.expressions.ToCharacter | to_varchar | SELECT to_varchar(454, '999') | struct<to_char(454, 999):string> |
+| org.apache.spark.sql.catalyst.expressions.ToCharacter | to_varchar | SELECT to_varchar(454, '999') | struct<to_varchar(454, 999):string> |
 | org.apache.spark.sql.catalyst.expressions.ToDegrees | degrees | SELECT degrees(3.141592653589793) | struct<DEGREES(3.141592653589793):double> |
 | org.apache.spark.sql.catalyst.expressions.ToNumber | to_number | SELECT to_number('454', '999') | struct<to_number(454, 999):decimal(3,0)> |
 | org.apache.spark.sql.catalyst.expressions.ToRadians | radians | SELECT radians(180) | struct<RADIANS(180):double> |
@@ -379,13 +379,13 @@
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | any | SELECT any(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<any(col):boolean> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | bool_or | SELECT bool_or(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<bool_or(col):boolean> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | some | SELECT some(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<some(col):boolean> |
-| org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | array_agg | SELECT array_agg(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_list(col):array<int>> |
+| org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | array_agg | SELECT array_agg(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<array_agg(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | collect_list | SELECT collect_list(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_list(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CollectSet | collect_set | SELECT collect_set(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_set(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.Corr | corr | SELECT corr(c1, c2) FROM VALUES (3, 2), (3, 3), (6, 4) as tab(c1, c2) | struct<corr(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.Count | count | SELECT count(*) FROM VALUES (NULL), (5), (5), (20) AS tab(col) | struct<count(1):bigint> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CountIf | count_if | SELECT count_if(col % 2 = 0) FROM VALUES (NULL), (0), (1), (2), (3) AS tab(col) | struct<count_if(((col % 2) = 0)):bigint> |
-| org.apache.spark.sql.catalyst.expressions.aggregate.CountMinSketchAgg | count_min_sketch | SELECT hex(count_min_sketch(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col) | struct<hex(count_min_sketch(col, 0.5, 0.5, 1)):string> |
+| org.apache.spark.sql.catalyst.expressions.aggregate.CountMinSketchAggExpressionBuilder | count_min_sketch | SELECT hex(count_min_sketch(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col) | struct<hex(count_min_sketch(col, 0.5, 0.5, 1)):string> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CovPopulation | covar_pop | SELECT covar_pop(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2) | struct<covar_pop(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CovSample | covar_samp | SELECT covar_samp(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2) | struct<covar_samp(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.First | first | SELECT first(col) FROM VALUES (10), (5), (20) AS tab(col) | struct<first(col):int> |
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
index 544d736b56b64..ce75051630dfb 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
@@ -714,19 +714,19 @@ Project [chr(cast(167 as bigint)) AS chr(167)#x, chr(cast(247 as bigint)) AS chr
 -- !query
 SELECT to_varchar(78.12, '$99.99')
 -- !query analysis
-Project [to_char(78.12, $99.99) AS to_char(78.12, $99.99)#x]
+Project [to_varchar(78.12, $99.99) AS to_varchar(78.12, $99.99)#x]
 +- OneRowRelation
 
 
 -- !query
 SELECT to_varchar(111.11, '99.9')
 -- !query analysis
-Project [to_char(111.11, 99.9) AS to_char(111.11, 99.9)#x]
+Project [to_varchar(111.11, 99.9) AS to_varchar(111.11, 99.9)#x]
 +- OneRowRelation
 
 
 -- !query
 SELECT to_varchar(12454.8, '99,999.9S')
 -- !query analysis
-Project [to_char(12454.8, 99,999.9S) AS to_char(12454.8, 99,999.9S)#x]
+Project [to_varchar(12454.8, 99,999.9S) AS to_varchar(12454.8, 99,999.9S)#x]
 +- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
index ad72e19b6bb7f..2759f5e67507b 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
@@ -2,5 +2,5 @@
 -- !query
 select current_database(), current_schema(), current_catalog()
 -- !query analysis
-Project [current_database() AS current_database()#x, current_database() AS current_database()#x, current_catalog() AS current_catalog()#x]
+Project [current_database() AS current_database()#x, current_schema() AS current_schema()#x, current_catalog() AS current_catalog()#x]
 +- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 93c463575dc1a..d7c7aad31a880 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1133,7 +1133,7 @@ SELECT
 FROM VALUES
   (1), (2), (1) AS tab(col)
 -- !query analysis
-Aggregate [collect_list(col#x, 0, 0) AS collect_list(col)#x, collect_list(col#x, 0, 0) AS collect_list(col)#x]
+Aggregate [collect_list(col#x, 0, 0) AS collect_list(col)#x, array_agg(col#x, 0, 0) AS array_agg(col)#x]
 +- SubqueryAlias tab
    +- LocalRelation [col#x]
 
@@ -1147,7 +1147,7 @@ FROM VALUES
   (1,4),(2,3),(1,4),(2,4) AS v(a,b)
 GROUP BY a
 -- !query analysis
-Aggregate [a#x], [a#x, collect_list(b#x, 0, 0) AS collect_list(b)#x, collect_list(b#x, 0, 0) AS collect_list(b)#x]
+Aggregate [a#x], [a#x, collect_list(b#x, 0, 0) AS collect_list(b)#x, array_agg(b#x, 0, 0) AS array_agg(b)#x]
 +- SubqueryAlias v
    +- LocalRelation [a#x, b#x]
 
diff --git a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
index dd8bdc698ea7f..a9604fc375acc 100644
--- a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
@@ -1222,7 +1222,7 @@ struct<chr(167):string,chr(247):string,chr(215):string>
 -- !query
 SELECT to_varchar(78.12, '$99.99')
 -- !query schema
-struct<to_char(78.12, $99.99):string>
+struct<to_varchar(78.12, $99.99):string>
 -- !query output
 $78.12
 
@@ -1230,7 +1230,7 @@ $78.12
 -- !query
 SELECT to_varchar(111.11, '99.9')
 -- !query schema
-struct<to_char(111.11, 99.9):string>
+struct<to_varchar(111.11, 99.9):string>
 -- !query output
 ##.#
 
@@ -1238,6 +1238,6 @@ struct<to_char(111.11, 99.9):string>
 -- !query
 SELECT to_varchar(12454.8, '99,999.9S')
 -- !query schema
-struct<to_char(12454.8, 99,999.9S):string>
+struct<to_varchar(12454.8, 99,999.9S):string>
 -- !query output
 12,454.8+
diff --git a/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out b/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
index 379bf01e64571..7fbe2dfff4db1 100644
--- a/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
@@ -2,6 +2,6 @@
 -- !query
 select current_database(), current_schema(), current_catalog()
 -- !query schema
-struct<current_database():string,current_database():string,current_catalog():string>
+struct<current_database():string,current_schema():string,current_catalog():string>
 -- !query output
 default	default	spark_catalog
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index 548917ef79b2d..44fbfd7ad4952 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1066,7 +1066,7 @@ SELECT
 FROM VALUES
   (1), (2), (1) AS tab(col)
 -- !query schema
-struct<collect_list(col):array<int>,collect_list(col):array<int>>
+struct<collect_list(col):array<int>,array_agg(col):array<int>>
 -- !query output
 [1,2,1]	[1,2,1]
 
@@ -1080,7 +1080,7 @@ FROM VALUES
   (1,4),(2,3),(1,4),(2,4) AS v(a,b)
 GROUP BY a
 -- !query schema
-struct<a:int,collect_list(b):array<int>,collect_list(b):array<int>>
+struct<a:int,collect_list(b):array<int>,array_agg(b):array<int>>
 -- !query output
 1	[4,4]	[4,4]
 2	[3,4]	[3,4]
diff --git a/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out b/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
index 0f7ff3f107567..28457c0579e95 100644
--- a/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
@@ -72,7 +72,7 @@ NULL
 -- !query
 SELECT from_json(a, 'struct<a:int,b:string>').a + random() > 2, from_json(a, 'struct<a:int,b:string>').b, from_json(b, 'array<struct<a:int,b:int>>')[0].a, from_json(b, 'array<struct<a:int,b:int>>')[0].b + + random() > 2 FROM testData
 -- !query schema
-struct<((from_json(a).a + rand()) > 2):boolean,from_json(a).b:string,from_json(b)[0].a:int,((from_json(b)[0].b + (+ rand())) > 2):boolean>
+struct<((from_json(a).a + random()) > 2):boolean,from_json(a).b:string,from_json(b)[0].a:int,((from_json(b)[0].b + (+ random())) > 2):boolean>
 -- !query output
 NULL	NULL	1	true
 false	2	1	true
@@ -84,7 +84,7 @@ true	6	6	true
 -- !query
 SELECT if(from_json(a, 'struct<a:int,b:string>').a + random() > 5, from_json(b, 'array<struct<a:int,b:int>>')[0].a, from_json(b, 'array<struct<a:int,b:int>>')[0].a + 1) FROM testData
 -- !query schema
-struct<(IF(((from_json(a).a + rand()) > 5), from_json(b)[0].a, (from_json(b)[0].a + 1))):int>
+struct<(IF(((from_json(a).a + random()) > 5), from_json(b)[0].a, (from_json(b)[0].a + 1))):int>
 -- !query output
 2
 2
@@ -96,7 +96,7 @@ NULL
 -- !query
 SELECT case when from_json(a, 'struct<a:int,b:string>').a > 5 then from_json(a, 'struct<a:int,b:string>').b + random() > 5 when from_json(a, 'struct<a:int,b:string>').a > 4 then from_json(a, 'struct<a:int,b:string>').b + 1 + random() > 2 else from_json(a, 'struct<a:int,b:string>').b + 2 + random() > 5 end FROM testData
 -- !query schema
-struct<CASE WHEN (from_json(a).a > 5) THEN ((from_json(a).b + rand()) > 5) WHEN (from_json(a).a > 4) THEN (((from_json(a).b + 1) + rand()) > 2) ELSE (((from_json(a).b + 2) + rand()) > 5) END:boolean>
+struct<CASE WHEN (from_json(a).a > 5) THEN ((from_json(a).b + random()) > 5) WHEN (from_json(a).a > 4) THEN (((from_json(a).b + 1) + random()) > 2) ELSE (((from_json(a).b + 2) + random()) > 5) END:boolean>
 -- !query output
 NULL
 false

From 5996c48eb99adcbba67fc863a5434fefc0c870b7 Mon Sep 17 00:00:00 2001
From: LantaoJin <jinlantao@gmail.com>
Date: Thu, 10 Oct 2024 12:20:13 +0800
Subject: [PATCH 884/986] [SPARK-49782][SQL] ResolveDataFrameDropColumns rule
 resolves UnresolvedAttribute with child output

When the drop list of `DataFrameDropColumns` contains an UnresolvedAttribute. Current rule mistakenly resolve the column with its grand-children's output attributes.
In dataframe/dataset API application, issue cannot be encountered since the `dropList` are all AttributeReferences.
But when we use Spark LogicalPlan, the bug will be encountered, the UnresolvedAttribute in dropList cannot work.

In `ResolveDataFrameDropColumns`
```scala
      val dropped = d.dropList.map {
        case u: UnresolvedAttribute =>
          resolveExpressionByPlanChildren(u, d.child)   //mistakenly resolve the column with its grand-children's output attributes
        case e => e
      }
```
To fix it, change to `resolveExpressionByPlanChildren(u, d)` or `resolveExpressionByPlanOutput(u, d.child)`

No

UT added.

No.

Closes #48240 from LantaoJin/SPARK-49782.

Authored-by: LantaoJin <jinlantao@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d7772f27b8a851c5007d7d9c891bb862233bf7fa)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../analysis/ResolveDataFrameDropColumns.scala         |  2 +-
 .../spark/sql/catalyst/analysis/AnalysisSuite.scala    | 10 ++++++++++
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala
index 2642b4a1c5daa..0f9b93cc2986d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDataFrameDropColumns.scala
@@ -36,7 +36,7 @@ class ResolveDataFrameDropColumns(val catalogManager: CatalogManager)
       //   df.drop(col("non-existing-column"))
       val dropped = d.dropList.map {
         case u: UnresolvedAttribute =>
-          resolveExpressionByPlanChildren(u, d.child)
+          resolveExpressionByPlanChildren(u, d)
         case e => e
       }
       val remaining = d.child.output.filterNot(attr => dropped.exists(_.semanticEquals(attr)))
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index e54b95f91af60..70a7fdc81e7e1 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1717,4 +1717,14 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     val plan = testRelation.select(udf.as("u")).select($"u").analyze
     assert(plan.output.head.nullable)
   }
+
+  test("SPARK-49782: ResolveDataFrameDropColumns rule resolves complex UnresolvedAttribute") {
+    val function = UnresolvedFunction("trim", Seq(UnresolvedAttribute("i")), isDistinct = false)
+    val addColumnF = Project(Seq(UnresolvedAttribute("i"), Alias(function, "f")()), testRelation5)
+    // Drop column "f" via ResolveDataFrameDropColumns rule.
+    val inputPlan = DataFrameDropColumns(Seq(UnresolvedAttribute("f")), addColumnF)
+    // The expected Project (root node) should only have column "i".
+    val expectedPlan = Project(Seq(UnresolvedAttribute("i")), addColumnF).analyze
+    checkAnalysis(inputPlan, expectedPlan)
+  }
 }

From 36299b3014a49e2a156566c0f82e513a5b820fc2 Mon Sep 17 00:00:00 2001
From: Chenhao Li <chenhao.li@databricks.com>
Date: Tue, 15 Oct 2024 20:21:42 +0200
Subject: [PATCH 885/986] [SPARK-49959][SQL] Fix ColumnarArray.copy() to read
 nulls from the correct offset

### What changes were proposed in this pull request?

`ColumnarArray` represents an array containing elements from `data[offset]` to `data[offset + length)`. When copying the array, the null flag should also be read starting from `offset` rather than 0.

Some expressions depend on this utility function. For example, this bug can lead to incorrect results in `ArrayTransform`.

### Why are the changes needed?

Fix correctness issue.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Two unit tests, one with `ArrayTransform`, and the other tests `ColumnarArray` directly. Both the tests would fail without the change in the PR.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48458 from chenhao-db/fix_ColumnarArray_copy.

Authored-by: Chenhao Li <chenhao.li@databricks.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 5f2bd5c10dc7f7f1ed3d2bd286ad98f284b2032c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../org/apache/spark/sql/vectorized/ColumnarArray.java   | 2 +-
 .../org/apache/spark/sql/DataFrameComplexTypeSuite.scala | 9 +++++++++
 .../sql/execution/vectorized/ColumnVectorSuite.scala     | 6 ++++++
 3 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
index 1f8e679a4146f..e58f36641d298 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarArray.java
@@ -56,7 +56,7 @@ public int numElements() {
   private UnsafeArrayData setNullBits(UnsafeArrayData arrayData) {
     if (data.hasNull()) {
       for (int i = 0; i < length; i++) {
-        if (data.isNullAt(i)) {
+        if (data.isNullAt(offset + i)) {
           arrayData.setNullAt(i);
         }
       }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameComplexTypeSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameComplexTypeSuite.scala
index 4f25642906628..95c5c5590e504 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameComplexTypeSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameComplexTypeSuite.scala
@@ -31,6 +31,15 @@ import org.apache.spark.sql.types.ArrayType
 class DataFrameComplexTypeSuite extends QueryTest with SharedSparkSession {
   import testImplicits._
 
+  test("ArrayTransform with scan input") {
+    withTempPath { f =>
+      spark.sql("select array(array(1, null, 3), array(4, 5, null), array(null, 8, 9)) as a")
+        .write.parquet(f.getAbsolutePath)
+      val df = spark.read.parquet(f.getAbsolutePath).selectExpr("transform(a, (x, i) -> x)")
+      checkAnswer(df, Row(Seq(Seq(1, null, 3), Seq(4, 5, null), Seq(null, 8, 9))))
+    }
+  }
+
   test("UDF on struct") {
     val f = udf((a: String) => a)
     val df = sparkContext.parallelize(Seq((1, 1))).toDF("a", "b")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
index 1f79626533ab6..a40a416bbb5a1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
@@ -501,6 +501,12 @@ class ColumnVectorSuite extends SparkFunSuite {
     val arr = new ColumnarArray(testVector, 0, testVector.capacity)
     assert(arr.toSeq(testVector.dataType) == expected)
     assert(arr.copy().toSeq(testVector.dataType) == expected)
+
+    if (expected.nonEmpty) {
+      val withOffset = new ColumnarArray(testVector, 1, testVector.capacity - 1)
+      assert(withOffset.toSeq(testVector.dataType) == expected.tail)
+      assert(withOffset.copy().toSeq(testVector.dataType) == expected.tail)
+    }
   }
 
   testVectors("getInts with dictionary and nulls", 3, IntegerType) { testVector =>

From 92ec503d9c77cb856cb9d4a1c93bda027c380a31 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 16 Oct 2024 07:22:59 -0700
Subject: [PATCH 886/986] [SPARK-49981][CORE][TESTS] Fix
 `AsyncRDDActionsSuite.FutureAction result, timeout` test case to be robust

### What changes were proposed in this pull request?

This PR aims to fix `AsyncRDDActionsSuite.FutureAction result, timeout` test case to be robust.

### Why are the changes needed?

To reduce the flakiness in GitHub Action CI. Previously, the sleep time is identical to the timeout time. It causes a flakiness in some environments like GitHub Action.
- https://github.com/apache/spark/actions/runs/11298639789/job/31428018075
```
AsyncRDDActionsSuite:
...
- FutureAction result, timeout *** FAILED ***
  Expected exception java.util.concurrent.TimeoutException to be thrown, but no exception was thrown (AsyncRDDActionsSuite.scala:206)
```

### Does this PR introduce _any_ user-facing change?

No, this is a test-only change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48485 from dongjoon-hyun/SPARK-49981.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit a3b91247b32083805fdd50e9f7f46e9a91b8fd8d)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala     | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala b/core/src/test/scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala
index 5e66ca962ea2c..c4ef45658ae9c 100644
--- a/core/src/test/scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala
@@ -201,10 +201,10 @@ class AsyncRDDActionsSuite extends SparkFunSuite with TimeLimits {
 
   test("FutureAction result, timeout") {
     val f = sc.parallelize(1 to 100, 4)
-              .mapPartitions(itr => { Thread.sleep(20); itr })
+              .mapPartitions(itr => { Thread.sleep(200); itr })
               .countAsync()
     intercept[TimeoutException] {
-      ThreadUtils.awaitResult(f, Duration(20, "milliseconds"))
+      ThreadUtils.awaitResult(f, Duration(2, "milliseconds"))
     }
   }
 

From d37a8b9c97b33ede4c7c42ec8c16b7c152d42b86 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 16 Oct 2024 07:24:33 -0700
Subject: [PATCH 887/986] [SPARK-49983][CORE][TESTS] Fix
 `BarrierTaskContextSuite.successively sync with allGather and barrier` test
 case to be robust

### What changes were proposed in this pull request?

This PR aims to fix `BarrierTaskContextSuite.successively sync with allGather and barrier` test case to be robust.

### Why are the changes needed?

The test case asserts the duration of partitions. However, this is flaky because we don't know when a partition is triggered before `barrier` sync.

https://github.com/apache/spark/blob/0e75d19a736aa18fe77414991ebb7e3577a43af8/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala#L116-L118

Although we added `TestUtils.waitUntilExecutorsUp` at Apache Spark 3.0.0 like the following,

- #28658

let's say a partition starts slowly than `38ms` and all partitions sleep `1s` exactly. Then, the test case fails like the following.
- https://github.com/apache/spark/actions/runs/11298639789/job/31428018075
```
BarrierTaskContextSuite:
...
- successively sync with allGather and barrier *** FAILED ***
  1038 was not less than or equal to 1000 (BarrierTaskContextSuite.scala:118)
```

According to the failure history here (SPARK-49983) and SPARK-31730, the slowness seems to be less than `200ms` when it happens. So, this PR aims to reduce the flakiness by capping the sleep up to 500ms while keeping the `1s` validation. There is no test coverage change because this test case focuses on the `successively sync with allGather and battier`.

### Does this PR introduce _any_ user-facing change?

No, this is a test-only test case.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48487 from dongjoon-hyun/SPARK-49983.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit bcfe62b9988f9b00c23de0b71acc1c6170edee9e)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../org/apache/spark/scheduler/BarrierTaskContextSuite.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
index 26cd5374fa09c..f370a8e02391e 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
@@ -101,7 +101,7 @@ class BarrierTaskContextSuite extends SparkFunSuite with LocalSparkContext with
     val rdd2 = rdd.barrier().mapPartitions { it =>
       val context = BarrierTaskContext.get()
       // Sleep for a random time before global sync.
-      Thread.sleep(Random.nextInt(1000))
+      Thread.sleep(Random.nextInt(500))
       context.barrier()
       val time1 = System.currentTimeMillis()
       // Sleep for a random time before global sync.

From f5bc92841eb7217cb83cc260c14a555bcfbf2bf3 Mon Sep 17 00:00:00 2001
From: Ziqi Liu <ziqi.liu@databricks.com>
Date: Thu, 17 Oct 2024 12:24:59 +0800
Subject: [PATCH 888/986] [SPARK-49979][SQL] Fix AQE hanging issue when
 collecting twice on a failed plan

### What changes were proposed in this pull request?

Record failure/error status in query stage. And abort immediately upon seeing failed query stage when creating new query stages.

### Why are the changes needed?

AQE has a potential hanging issue when we collect twice from a failed AQE plan, no new query stage will be created, and no stage will be submitted either. We will be waiting for a finish event forever, which will never come because that query stage has already failed in the previous run.

### Does this PR introduce _any_ user-facing change?
NO

### How was this patch tested?
New UT.

### Was this patch authored or co-authored using generative AI tooling?
NO

Closes #48484 from liuzqt/SPARK-49979.

Authored-by: Ziqi Liu <ziqi.liu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit e374b94a9c8b217156ce24137efbd404a38e4f21)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../adaptive/AdaptiveSparkPlanExec.scala      | 12 +++++++++++
 .../execution/adaptive/QueryStageExec.scala   |  9 ++++++++
 .../adaptive/AdaptiveQueryExecSuite.scala     | 21 +++++++++++++++++++
 3 files changed, 42 insertions(+)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
index d2e879e3eddb1..77c9696e6e295 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
@@ -310,6 +310,7 @@ case class AdaptiveSparkPlanExec(
               }(AdaptiveSparkPlanExec.executionContext)
             } catch {
               case e: Throwable =>
+                stage.error.set(Some(e))
                 cleanUpAndThrowException(Seq(e), Some(stage.id))
             }
           }
@@ -325,6 +326,7 @@ case class AdaptiveSparkPlanExec(
           case StageSuccess(stage, res) =>
             stage.resultOption.set(Some(res))
           case StageFailure(stage, ex) =>
+            stage.error.set(Some(ex))
             errors.append(ex)
         }
 
@@ -567,6 +569,7 @@ case class AdaptiveSparkPlanExec(
         newStages = Seq(newStage))
 
     case q: QueryStageExec =>
+      assertStageNotFailed(q)
       CreateStageResult(newPlan = q,
         allChildStagesMaterialized = q.isMaterialized, newStages = Seq.empty)
 
@@ -779,6 +782,15 @@ case class AdaptiveSparkPlanExec(
     }
   }
 
+  private def assertStageNotFailed(stage: QueryStageExec): Unit = {
+    if (stage.hasFailed) {
+      throw stage.error.get().get match {
+        case fatal: SparkFatalException => fatal.throwable
+        case other => other
+      }
+    }
+  }
+
   /**
    * Cancel all running stages with best effort and throw an Exception containing all stage
    * materialization errors and stage cancellation errors.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
index 433315c493215..31fe9b9ed368c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala
@@ -88,6 +88,13 @@ abstract class QueryStageExec extends LeafExecNode {
   private[adaptive] def resultOption: AtomicReference[Option[Any]] = _resultOption
   final def isMaterialized: Boolean = resultOption.get().isDefined
 
+  @transient
+  @volatile
+  protected var _error = new AtomicReference[Option[Throwable]](None)
+
+  def error: AtomicReference[Option[Throwable]] = _error
+  final def hasFailed: Boolean = _error.get().isDefined
+
   override def output: Seq[Attribute] = plan.output
   override def outputPartitioning: Partitioning = plan.outputPartitioning
   override def outputOrdering: Seq[SortOrder] = plan.outputOrdering
@@ -195,6 +202,7 @@ case class ShuffleQueryStageExec(
       ReusedExchangeExec(newOutput, shuffle),
       _canonicalized)
     reuse._resultOption = this._resultOption
+    reuse._error = this._error
     reuse
   }
 
@@ -247,6 +255,7 @@ case class BroadcastQueryStageExec(
       ReusedExchangeExec(newOutput, broadcast),
       _canonicalized)
     reuse._resultOption = this._resultOption
+    reuse._error = this._error
     reuse
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index cab3e69b0d17b..49b2bd002d5fa 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -2877,6 +2877,27 @@ class AdaptiveQueryExecSuite
     val unionDF = aggDf1.union(aggDf2)
     checkAnswer(unionDF.select("id").distinct, Seq(Row(null)))
   }
+
+  test("SPARK-49979: AQE hang forever when collecting twice on a failed AQE plan") {
+    val func: Long => Boolean = (i : Long) => {
+      throw new Exception("SPARK-49979")
+    }
+    withUserDefinedFunction("func" -> true) {
+      spark.udf.register("func", func)
+      val df1 = spark.range(1024).select($"id".as("key1"))
+      val df2 = spark.range(2048).select($"id".as("key2"))
+        .withColumn("group_key", $"key2" % 1024)
+      val df = df1.filter(expr("func(key1)")).hint("MERGE").join(df2, $"key1" === $"key2")
+        .groupBy($"group_key").agg("key1" -> "count")
+      intercept[Throwable] {
+        df.collect()
+      }
+      // second collect should not hang forever
+      intercept[Throwable] {
+        df.collect()
+      }
+    }
+  }
 }
 
 /**

From 3d2d1c11ab7f85db953562fcf297f9c08c2d888d Mon Sep 17 00:00:00 2001
From: Angerszhuuuu <angers.zhu@gmail.com>
Date: Thu, 17 Oct 2024 12:31:54 +0800
Subject: [PATCH 889/986] [SPARK-48155][SQL][3.5] AQEPropagateEmptyRelation for
 join should check if remain child is just BroadcastQueryStageExec

### What changes were proposed in this pull request?
This PR backports #46523 and #48300 for SPARK-48155 to branch-3.5.

### Why are the changes needed?

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

### Was this patch authored or co-authored using generative AI tooling?

Closes #48505 from zml1206/SPARK-48155-3.5.

Lead-authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Co-authored-by: zml1206 <zhuml1206@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../optimizer/PropagateEmptyRelation.scala    | 16 +++--
 .../adaptive/AQEPropagateEmptyRelation.scala  |  7 ++
 .../adaptive/AdaptiveQueryExecSuite.scala     | 67 +++++++++++++++++++
 3 files changed, 84 insertions(+), 6 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelation.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelation.scala
index fd7a87087ddd2..738d547d4fb61 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelation.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PropagateEmptyRelation.scala
@@ -65,6 +65,8 @@ abstract class PropagateEmptyRelationBase extends Rule[LogicalPlan] with CastSup
   private def nullValueProjectList(plan: LogicalPlan): Seq[NamedExpression] =
     plan.output.map{ a => Alias(cast(Literal(null), a.dataType), a.name)(a.exprId) }
 
+  protected def canExecuteWithoutJoin(plan: LogicalPlan): Boolean = true
+
   protected def commonApplyFunc: PartialFunction[LogicalPlan, LogicalPlan] = {
     case p: Union if p.children.exists(isEmpty) =>
       val newChildren = p.children.filterNot(isEmpty)
@@ -109,20 +111,22 @@ abstract class PropagateEmptyRelationBase extends Rule[LogicalPlan] with CastSup
           // Except is handled as LeftAnti by `ReplaceExceptWithAntiJoin` rule.
           case LeftOuter | LeftSemi | LeftAnti if isLeftEmpty => empty(p)
           case LeftSemi if isRightEmpty | isFalseCondition => empty(p)
-          case LeftAnti if isRightEmpty | isFalseCondition => p.left
+          case LeftAnti if (isRightEmpty | isFalseCondition) && canExecuteWithoutJoin(p.left) =>
+            p.left
           case FullOuter if isLeftEmpty && isRightEmpty => empty(p)
-          case LeftOuter | FullOuter if isRightEmpty =>
+          case LeftOuter | FullOuter if isRightEmpty && canExecuteWithoutJoin(p.left) =>
             Project(p.left.output ++ nullValueProjectList(p.right), p.left)
           case RightOuter if isRightEmpty => empty(p)
-          case RightOuter | FullOuter if isLeftEmpty =>
+          case RightOuter | FullOuter if isLeftEmpty && canExecuteWithoutJoin(p.right) =>
             Project(nullValueProjectList(p.left) ++ p.right.output, p.right)
-          case LeftOuter if isFalseCondition =>
+          case LeftOuter if isFalseCondition && canExecuteWithoutJoin(p.left) =>
             Project(p.left.output ++ nullValueProjectList(p.right), p.left)
-          case RightOuter if isFalseCondition =>
+          case RightOuter if isFalseCondition && canExecuteWithoutJoin(p.right) =>
             Project(nullValueProjectList(p.left) ++ p.right.output, p.right)
           case _ => p
         }
-      } else if (joinType == LeftSemi && conditionOpt.isEmpty && nonEmpty(p.right)) {
+      } else if (joinType == LeftSemi && conditionOpt.isEmpty &&
+        nonEmpty(p.right) && canExecuteWithoutJoin(p.left)) {
         p.left
       } else if (joinType == LeftAnti && conditionOpt.isEmpty && nonEmpty(p.right)) {
         empty(p)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEPropagateEmptyRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEPropagateEmptyRelation.scala
index 7951a6f36b9bd..858130fae32b5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEPropagateEmptyRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEPropagateEmptyRelation.scala
@@ -82,6 +82,13 @@ object AQEPropagateEmptyRelation extends PropagateEmptyRelationBase {
     case _ => false
   }
 
+  // A broadcast query stage can't be executed without the join operator.
+  // TODO: we can return the original query plan before broadcast.
+  override protected def canExecuteWithoutJoin(plan: LogicalPlan): Boolean = plan match {
+    case LogicalQueryStage(_, _: BroadcastQueryStageExec) => false
+    case _ => true
+  }
+
   override protected def applyInternal(p: LogicalPlan): LogicalPlan = p.transformUpWithPruning(
     // LOCAL_RELATION and TRUE_OR_FALSE_LITERAL pattern are matched at
     // `PropagateEmptyRelationBase.commonApplyFunc`
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index 49b2bd002d5fa..f6b96ee7e1ebd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -161,6 +161,12 @@ class AdaptiveQueryExecSuite
     }
   }
 
+  private def findTopLevelUnion(plan: SparkPlan): Seq[UnionExec] = {
+    collect(plan) {
+      case l: UnionExec => l
+    }
+  }
+
   private def findReusedExchange(plan: SparkPlan): Seq[ReusedExchangeExec] = {
     collectWithSubqueries(plan) {
       case ShuffleQueryStageExec(_, e: ReusedExchangeExec, _) => e
@@ -2701,6 +2707,67 @@ class AdaptiveQueryExecSuite
     }
   }
 
+  test("SPARK-48155: AQEPropagateEmptyRelation check remained child for join") {
+    withSQLConf(
+      SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true") {
+      // Before SPARK-48155, since the AQE will call ValidateSparkPlan,
+      // all AQE optimize rule won't work and return the origin plan.
+      // After SPARK-48155, Spark avoid invalid propagate of empty relation.
+      // Then the UNION first child empty relation can be propagate correctly
+      // and the JOIN won't be propagated since will generated a invalid plan.
+      val (_, adaptivePlan) = runAdaptiveAndVerifyResult(
+        """
+          |SELECT /*+ BROADCAST(t3) */ t3.b, count(t3.a) FROM testData2 t1
+          |INNER JOIN (
+          |  SELECT * FROM testData2
+          |  WHERE b = 0
+          |  UNION ALL
+          |  SELECT * FROM testData2
+          |  WHErE b != 0
+          |) t2
+          |ON t1.b = t2.b AND t1.a = 0
+          |RIGHT OUTER JOIN testData2 t3
+          |ON t1.a > t3.a
+          |GROUP BY t3.b
+        """.stripMargin
+      )
+      assert(findTopLevelBroadcastNestedLoopJoin(adaptivePlan).size == 1)
+      assert(findTopLevelUnion(adaptivePlan).size == 0)
+    }
+
+    withSQLConf(
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "100") {
+      withTempView("t1", "t2", "t3", "t4") {
+        Seq(1).toDF().createOrReplaceTempView("t1")
+        spark.range(100).createOrReplaceTempView("t2")
+        spark.range(2).createOrReplaceTempView("t3")
+        spark.range(2).createOrReplaceTempView("t4")
+        val (_, adaptivePlan) = runAdaptiveAndVerifyResult(
+          """
+            |SELECT tt2.value
+            |FROM (
+            |  SELECT value
+            |  FROM t1
+            |  WHERE NOT EXISTS (
+            |      SELECT 1
+            |      FROM (
+            |        SELECT t2.id
+            |        FROM t2
+            |          JOIN t3 ON t2.id = t3.id
+            |        AND t2.id > 100
+            |      ) tt
+            |      WHERE t1.value = tt.id
+            |    )
+            |    AND t1.value = 1
+            |) tt2
+            |  LEFT JOIN t4 ON tt2.value = t4.id
+            |""".stripMargin
+        )
+        assert(findTopLevelBroadcastNestedLoopJoin(adaptivePlan).size == 1)
+      }
+    }
+  }
+
   test("SPARK-39915: Dataset.repartition(N) may not create N partitions") {
     withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "6") {
       // partitioning:  HashPartitioning

From 1fae1d78f080b3b041e09299b9d8aa9df380f6b3 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Fri, 18 Oct 2024 11:03:32 +0900
Subject: [PATCH 890/986] [SPARK-49829][SS] Fix the bug on the optimization on
 adding input to state store in stream-stream join

The PR proposes to revise the optimization on adding input to state store in stream-stream join, to fix correctness issue.

Here is the logic of optimization before this PR:

https://github.com/apache/spark/blob/039fd13eacb1cef835045e3a60cebf958589e1a2/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala#L671-L677

```
        val isLeftSemiWithMatch =
          joinType == LeftSemi && joinSide == LeftSide && iteratorNotEmpty
        // Add to state store only if both removal predicates do not match,
        // and the row is not matched for left side of left semi join.
        val shouldAddToState =
          !stateKeyWatermarkPredicateFunc(key) && !stateValueWatermarkPredicateFunc(thisRow) &&
          !isLeftSemiWithMatch
```

The criteria of `both removal predicates do not match` means the input is going to be evicted in this batch. I'm not sure about the coverage of this optimization, but there are two major issues with the above optimization:

1) missing to add the input to state store in left side prevents the input on the right side to match with "that" input. Even though the input is going to be evicted in this batch, there could be still inputs on the right side in this batch which can match with that input.

2) missing to add the input to state store prevents that input to produce unmatched (null-outer) output, as we produce unmatched output during the eviction of state.

Worth noting that `state watermark != watermark for eviction` and eviction we mentioned in above is based on "state watermark". state watermark could be either 1) equal or earlier than watermark for eviction or 2) "later" than watermark for eviction.

Yes, there are correctness issues among stream-stream join, especially when the output of the stateful operator is provided as input of stream-stream join. The correctness issue is fixed with the PR.

New UTs.

No.

Closes #48297 from HeartSaVioR/SPARK-49829.

Lead-authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Co-authored-by: Andrzej Zera <andrzejzera@gmail.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 75b86667ee7607d3523d7ce75c1022752142a443)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../StreamingSymmetricHashJoinExec.scala      |  39 ++++-
 .../MultiStatefulOperatorsSuite.scala         |  54 ++++++
 .../sql/streaming/StreamingJoinSuite.scala    | 165 ++++++++++++++++++
 3 files changed, 251 insertions(+), 7 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala
index 3ad1dc58cae79..15e27edcd0410 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala
@@ -631,13 +631,38 @@ case class StreamingSymmetricHashJoinExec(
       private val iteratorNotEmpty: Boolean = super.hasNext
 
       override def completion(): Unit = {
-        val isLeftSemiWithMatch =
-          joinType == LeftSemi && joinSide == LeftSide && iteratorNotEmpty
-        // Add to state store only if both removal predicates do not match,
-        // and the row is not matched for left side of left semi join.
-        val shouldAddToState =
-          !stateKeyWatermarkPredicateFunc(key) && !stateValueWatermarkPredicateFunc(thisRow) &&
-          !isLeftSemiWithMatch
+        // The criteria of whether the input has to be added into state store or not:
+        // - Left side: input can be skipped to be added to the state store if it's already matched
+        //   and the join type is left semi.
+        //   For other cases, the input should be added, including the case it's going to be evicted
+        //   in this batch. It hasn't yet evaluated with inputs from right side for this batch.
+        //   Refer to the classdoc of SteramingSymmetricHashJoinExec about how stream-stream join
+        //   works.
+        // - Right side: for this side, the evaluation with inputs from left side for this batch
+        //   is done at this point. That said, input can be skipped to be added to the state store
+        //   if input is going to be evicted in this batch. Though, input should be added to the
+        //   state store if it's right outer join or full outer join, as unmatched output is
+        //   handled during state eviction.
+        val isLeftSemiWithMatch = joinType == LeftSemi && joinSide == LeftSide && iteratorNotEmpty
+        val shouldAddToState = if (isLeftSemiWithMatch) {
+          false
+        } else if (joinSide == LeftSide) {
+          true
+        } else {
+          // joinSide == RightSide
+
+          // if the input is not evicted in this batch (hence need to be persisted)
+          val isNotEvictingInThisBatch =
+            !stateKeyWatermarkPredicateFunc(key) && !stateValueWatermarkPredicateFunc(thisRow)
+
+          isNotEvictingInThisBatch ||
+            // if the input is producing "unmatched row" in this batch
+            (
+              (joinType == RightOuter && !iteratorNotEmpty) ||
+                (joinType == FullOuter && !iteratorNotEmpty)
+            )
+        }
+
         if (shouldAddToState) {
           joinStateManager.append(key, thisRow, matched = iteratorNotEmpty)
           updatedStateRowsCount += 1
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/MultiStatefulOperatorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/MultiStatefulOperatorsSuite.scala
index fb5445ae436a1..0149e95586499 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/MultiStatefulOperatorsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/MultiStatefulOperatorsSuite.scala
@@ -878,6 +878,60 @@ class MultiStatefulOperatorsSuite
     testOutputWatermarkInJoin(join3, input1, -40L * 1000 - 1)
   }
 
+  test("SPARK-49829 time window agg per each source followed by stream-stream join") {
+    val inputStream1 = MemoryStream[Long]
+    val inputStream2 = MemoryStream[Long]
+
+    val df1 = inputStream1.toDF()
+      .selectExpr("value", "timestamp_seconds(value) AS ts")
+      .withWatermark("ts", "5 seconds")
+
+    val df2 = inputStream2.toDF()
+      .selectExpr("value", "timestamp_seconds(value) AS ts")
+      .withWatermark("ts", "5 seconds")
+
+    val df1Window = df1.groupBy(
+      window($"ts", "10 seconds")
+    ).agg(sum("value").as("sum_df1"))
+
+    val df2Window = df2.groupBy(
+      window($"ts", "10 seconds")
+    ).agg(sum("value").as("sum_df2"))
+
+    val joined = df1Window.join(df2Window, "window", "inner")
+      .selectExpr("CAST(window.end AS long) AS window_end", "sum_df1", "sum_df2")
+
+    // The test verifies the case where both sides produce input as time window (append mode)
+    // for stream-stream join having join condition for equality of time window.
+    // Inputs are produced into stream-stream join when the time windows are completed, meaning
+    // they will be evicted in this batch for stream-stream join as well. (NOTE: join condition
+    // does not delay the state watermark in stream-stream join).
+    // Before SPARK-49829, left side does not add the input to state store if it's going to evict
+    // in this batch, which breaks the match between input from left side and input from right
+    // side for this batch.
+    testStream(joined)(
+      MultiAddData(
+        (inputStream1, Seq(1L, 2L, 3L, 4L, 5L)),
+        (inputStream2, Seq(5L, 6L, 7L, 8L, 9L))
+      ),
+      // watermark: 5 - 5 = 0
+      CheckNewAnswer(),
+      MultiAddData(
+        (inputStream1, Seq(11L, 12L, 13L, 14L, 15L)),
+        (inputStream2, Seq(15L, 16L, 17L, 18L, 19L))
+      ),
+      // watermark: 15 - 5 = 10 (windows for [0, 10) are completed)
+      // Before SPARK-49829, the test fails because this row is not produced.
+      CheckNewAnswer((10L, 15L, 35L)),
+      MultiAddData(
+        (inputStream1, Seq(100L)),
+        (inputStream2, Seq(101L))
+      ),
+      // watermark: 100 - 5 = 95 (windows for [0, 20) are completed)
+      CheckNewAnswer((20L, 65L, 85L))
+    )
+  }
+
   private def assertNumStateRows(numTotalRows: Seq[Long]): AssertOnQuery = AssertOnQuery { q =>
     q.processAllAvailable()
     val progressWithData = q.recentProgress.lastOption.get
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
index 3e1bc57dfa245..aad91601758ad 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
@@ -1417,6 +1417,56 @@ class StreamingOuterJoinSuite extends StreamingJoinSuite {
       )
     }
   }
+
+  test("SPARK-49829 left-outer join, input being unmatched is between WM for late event and " +
+    "WM for eviction") {
+
+    withTempDir { checkpoint =>
+      // This config needs to be set, otherwise no-data batch will be triggered and after
+      // no-data batch, WM for late event and WM for eviction would be same.
+      withSQLConf(SQLConf.STREAMING_NO_DATA_MICRO_BATCHES_ENABLED.key -> "false") {
+        val memoryStream1 = MemoryStream[(String, Int)]
+        val memoryStream2 = MemoryStream[(String, Int)]
+
+        val data1 = memoryStream1.toDF()
+          .selectExpr("_1 AS key", "timestamp_seconds(_2) AS eventTime")
+          .withWatermark("eventTime", "0 seconds")
+        val data2 = memoryStream2.toDF()
+          .selectExpr("_1 AS key", "timestamp_seconds(_2) AS eventTime")
+          .withWatermark("eventTime", "0 seconds")
+
+        val joinedDf = data1.join(data2, Seq("key", "eventTime"), "leftOuter")
+          .selectExpr("key", "CAST(eventTime AS long) AS eventTime")
+
+        testStream(joinedDf)(
+          StartStream(checkpointLocation = checkpoint.getCanonicalPath),
+          // batch 0
+          // WM: late record = 0, eviction = 0
+          MultiAddData(
+            (memoryStream1, Seq(("a", 1), ("b", 2))),
+            (memoryStream2, Seq(("b", 2), ("c", 1)))
+          ),
+          CheckNewAnswer(("b", 2)),
+          // state rows
+          // left: ("a", 1), ("b", 2)
+          // right: ("b", 2), ("c", 1)
+          // batch 1
+          // WM: late record = 0, eviction = 2
+          // Before Spark introduces multiple stateful operator, WM for late record was same as
+          // WM for eviction, hence ("d", 1) was treated as late record.
+          // With the multiple state operator, ("d", 1) is added in batch 1 but also evicted in
+          // batch 1. Note that the eviction is happening with state watermark: for this join,
+          // state watermark = state eviction under join condition. Before SPARK-49829, this
+          // wasn't producing unmatched row, and it is fixed.
+          AddData(memoryStream1, ("d", 1)),
+          CheckNewAnswer(("a", 1), ("d", 1))
+          // state rows
+          // left: none
+          // right: none
+        )
+      }
+    }
+  }
 }
 
 @SlowSQLTest
@@ -1824,4 +1874,119 @@ class StreamingLeftSemiJoinSuite extends StreamingJoinSuite {
       assertNumStateRows(total = 9, updated = 4)
     )
   }
+
+  test("SPARK-49829 two chained stream-stream left outer joins among three input streams") {
+    withSQLConf(SQLConf.STREAMING_NO_DATA_MICRO_BATCHES_ENABLED.key -> "false") {
+      val memoryStream1 = MemoryStream[(Long, Int)]
+      val memoryStream2 = MemoryStream[(Long, Int)]
+      val memoryStream3 = MemoryStream[(Long, Int)]
+
+      val data1 = memoryStream1.toDF()
+        .selectExpr("timestamp_seconds(_1) AS eventTime", "_2 AS v1")
+        .withWatermark("eventTime", "0 seconds")
+      val data2 = memoryStream2.toDF()
+        .selectExpr("timestamp_seconds(_1) AS eventTime", "_2 AS v2")
+        .withWatermark("eventTime", "0 seconds")
+      val data3 = memoryStream3.toDF()
+        .selectExpr("timestamp_seconds(_1) AS eventTime", "_2 AS v3")
+        .withWatermark("eventTime", "0 seconds")
+
+      val join = data1
+        .join(data2, Seq("eventTime"), "leftOuter")
+        .join(data3, Seq("eventTime"), "leftOuter")
+        .selectExpr("CAST(eventTime AS long) AS eventTime", "v1", "v2", "v3")
+
+      testStream(join)(
+        // batch 0
+        // WM: late event = 0, eviction = 0
+        MultiAddData(
+          (memoryStream1, Seq((20L, 1))),
+          (memoryStream2, Seq((20L, 1))),
+          (memoryStream3, Seq((20L, 1)))
+        ),
+        CheckNewAnswer((20, 1, 1, 1)),
+        // state rows
+        // 1st join
+        // left: (20, 1)
+        // right: (20, 1)
+        // 2nd join
+        // left: (20, 1, 1)
+        // right: (20, 1)
+        // batch 1
+        // WM: late event = 0, eviction = 20
+        MultiAddData(
+          (memoryStream1, Seq((21L, 2))),
+          (memoryStream2, Seq((21L, 2)))
+        ),
+        CheckNewAnswer(),
+        // state rows
+        // 1st join
+        // left: (21, 2)
+        // right: (21, 2)
+        // 2nd join
+        // left: (21, 2, 2)
+        // right: none
+        // batch 2
+        // WM: late event = 20, eviction = 20 (slowest: inputStream3)
+        MultiAddData(
+          (memoryStream1, Seq((22L, 3))),
+          (memoryStream3, Seq((22L, 3)))
+        ),
+        CheckNewAnswer(),
+        // state rows
+        // 1st join
+        // left: (21, 2), (22, 3)
+        // right: (21, 2)
+        // 2nd join
+        // left: (21, 2, 2)
+        // right: (22, 3)
+        // batch 3
+        // WM: late event = 20, eviction = 21 (slowest: inputStream2)
+        AddData(memoryStream1, (23L, 4)),
+        CheckNewAnswer(Row(21, 2, 2, null)),
+        // state rows
+        // 1st join
+        // left: (22, 3), (23, 4)
+        // right: none
+        // 2nd join
+        // left: none
+        // right: (22, 3)
+        // batch 4
+        // WM: late event = 21, eviction = 21 (slowest: inputStream2)
+        MultiAddData(
+          (memoryStream1, Seq((24L, 5))),
+          (memoryStream2, Seq((24L, 5))),
+          (memoryStream3, Seq((24L, 5)))
+        ),
+        CheckNewAnswer(Row(24, 5, 5, 5)),
+        // state rows
+        // 1st join
+        // left: (22, 3), (23, 4), (24, 5)
+        // right: (24, 5)
+        // 2nd join
+        // left: (24, 5, 5)
+        // right: (22, 3), (24, 5)
+        // batch 5
+        // WM: late event = 21, eviction = 24
+        // just trigger a new batch with arbitrary data as the original test relies on no-data
+        // batch, and we need to check with remaining unmatched outputs
+        AddData(memoryStream1, (100L, 6)),
+        // Before SPARK-49829, the test fails because (23, 4, null, null) wasn't produced.
+        // (The assertion of state for left inputs & right inputs weren't included on the test
+        // before SPARK-49829.)
+        CheckNewAnswer(Row(22, 3, null, 3), Row(23, 4, null, null))
+      )
+
+      /*
+      // The collection of the above new answers is the same with below in original test:
+      val expected = Array(
+        Row(Timestamp.valueOf("2024-02-10 10:20:00"), 1, 1, 1),
+        Row(Timestamp.valueOf("2024-02-10 10:21:00"), 2, 2, null),
+        Row(Timestamp.valueOf("2024-02-10 10:22:00"), 3, null, 3),
+        Row(Timestamp.valueOf("2024-02-10 10:23:00"), 4, null, null),
+        Row(Timestamp.valueOf("2024-02-10 10:24:00"), 5, 5, 5),
+      )
+       */
+    }
+  }
 }

From 6b9b3c04f9a78a903b05d81209b41836e3061523 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Fri, 18 Oct 2024 10:46:06 +0200
Subject: [PATCH 891/986] Revert "[SPARK-49909][SQL][3.5] Fix the pretty name
 of some expressions"

### What changes were proposed in this pull request?
The pr aims to revert https://github.com/apache/spark/pull/48393.
This reverts commit 4472fb26ec4af3398389cd4f96bc9d94663895a9.

### Why are the changes needed?
Only revert.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #48531 from panbingkun/branch-3.5_SPARK-49909_revert.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../function_array_agg.explain                |  2 +-
 .../explain-results/function_curdate.explain  |  2 +-
 .../function_current_schema.explain           |  2 +-
 .../explain-results/function_dateadd.explain  |  2 +-
 .../function_random_with_seed.explain         |  2 +-
 .../function_to_varchar.explain               |  2 +-
 python/pyspark/sql/functions.py               | 30 +++++++++----------
 .../expressions/aggregate/collect.scala       |  5 ++--
 .../expressions/datetimeExpressions.scala     |  5 ++--
 .../spark/sql/catalyst/expressions/misc.scala |  5 ++--
 .../expressions/numberFormatExpressions.scala |  7 ++---
 .../expressions/randomExpressions.scala       |  8 ++---
 .../sql-functions/sql-expression-schema.md    | 20 ++++++-------
 .../analyzer-results/charvarchar.sql.out      |  6 ++--
 .../current_database_catalog.sql.out          |  2 +-
 .../analyzer-results/group-by.sql.out         |  4 +--
 .../sql-tests/results/charvarchar.sql.out     |  6 ++--
 .../results/current_database_catalog.sql.out  |  2 +-
 .../sql-tests/results/group-by.sql.out        |  4 +--
 .../results/subexp-elimination.sql.out        |  6 ++--
 20 files changed, 56 insertions(+), 66 deletions(-)

diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
index 6668692f6cf1d..102f736c62ef6 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_array_agg.explain
@@ -1,2 +1,2 @@
-Aggregate [array_agg(a#0, 0, 0) AS array_agg(a)#0]
+Aggregate [collect_list(a#0, 0, 0) AS collect_list(a)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
index be039d62a5494..5305b346c4f2d 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_curdate.explain
@@ -1,2 +1,2 @@
-Project [curdate(Some(America/Los_Angeles)) AS curdate()#0]
+Project [current_date(Some(America/Los_Angeles)) AS current_date()#0]
 +- LocalRelation <empty>, [d#0, t#0, s#0, x#0L, wt#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
index 481c0a478c8df..93dfac524d9a1 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_current_schema.explain
@@ -1,2 +1,2 @@
-Project [current_schema() AS current_schema()#0]
+Project [current_database() AS current_database()#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
index 319428541760d..66325085b9c14 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_dateadd.explain
@@ -1,2 +1,2 @@
-Project [dateadd(d#0, 2) AS dateadd(d, 2)#0]
+Project [date_add(d#0, 2) AS date_add(d, 2)#0]
 +- LocalRelation <empty>, [d#0, t#0, s#0, x#0L, wt#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
index 5854d2c7fa6be..81c81e95c2bdd 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_random_with_seed.explain
@@ -1,2 +1,2 @@
-Project [random(1) AS random(1)#0]
+Project [random(1) AS rand(1)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain b/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
index cc5149bfed863..f0d9cacc61ac5 100644
--- a/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
+++ b/connector/connect/common/src/test/resources/query-tests/explain-results/function_to_varchar.explain
@@ -1,2 +1,2 @@
-Project [to_varchar(cast(b#0 as decimal(30,15)), $99.99) AS to_varchar(b, $99.99)#0]
+Project [to_char(cast(b#0 as decimal(30,15)), $99.99) AS to_char(b, $99.99)#0]
 +- LocalRelation <empty>, [id#0L, a#0, b#0, d#0, e#0, f#0, g#0]
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 173f4da59f184..7e1a8faf00178 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -6710,31 +6710,31 @@ def dateadd(start: "ColumnOrName", days: Union["ColumnOrName", int]) -> Column:
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", 1)).show()
-    +--------------+
-    |dateadd(dt, 1)|
-    +--------------+
-    |    2015-04-09|
-    +--------------+
+    +---------------+
+    |date_add(dt, 1)|
+    +---------------+
+    |     2015-04-09|
+    +---------------+
 
     >>> import pyspark.sql.functions as sf
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", sf.lit(2))).show()
-    +--------------+
-    |dateadd(dt, 2)|
-    +--------------+
-    |    2015-04-10|
-    +--------------+
+    +---------------+
+    |date_add(dt, 2)|
+    +---------------+
+    |     2015-04-10|
+    +---------------+
 
     >>> import pyspark.sql.functions as sf
     >>> spark.createDataFrame(
     ...     [('2015-04-08', 2,)], ['dt', 'add']
     ... ).select(sf.dateadd("dt", -1)).show()
-    +---------------+
-    |dateadd(dt, -1)|
-    +---------------+
-    |     2015-04-07|
-    +---------------+
+    +----------------+
+    |date_add(dt, -1)|
+    +----------------+
+    |      2015-04-07|
+    +----------------+
     """
     days = lit(days) if isinstance(days, int) else days
     return _invoke_function_over_columns("dateadd", start, days)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
index 770d9c281fefb..7bbc930ceab59 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
@@ -21,7 +21,7 @@ import scala.collection.generic.Growable
 import scala.collection.mutable
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, TypeCheckResult}
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.trees.UnaryLike
@@ -118,8 +118,7 @@ case class CollectList(
 
   override def createAggregationBuffer(): mutable.ArrayBuffer[Any] = mutable.ArrayBuffer.empty
 
-  override def prettyName: String =
-    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("collect_list")
+  override def prettyName: String = "collect_list"
 
   override def eval(buffer: mutable.ArrayBuffer[Any]): Any = {
     new GenericArrayData(buffer.toArray)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
index 9511df50a2652..51ddf2b85f8c2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
@@ -150,8 +150,7 @@ case class CurrentDate(timeZoneId: Option[String] = None)
 
   override def eval(input: InternalRow): Any = currentDate(zoneId)
 
-  override def prettyName: String =
-    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("current_date")
+  override def prettyName: String = "current_date"
 }
 
 // scalastyle:off line.size.limit
@@ -341,7 +340,7 @@ case class DateAdd(startDate: Expression, days: Expression)
     })
   }
 
-  override def prettyName: String = getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("date_add")
+  override def prettyName: String = "date_add"
 
   override protected def withNewChildrenInternal(
     newLeft: Expression, newRight: Expression): DateAdd = copy(startDate = newLeft, days = newRight)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
index 12bdefc832740..92ed08435216b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.{SPARK_REVISION, SPARK_VERSION_SHORT}
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, UnresolvedSeed}
+import org.apache.spark.sql.catalyst.analysis.UnresolvedSeed
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
@@ -164,8 +164,7 @@ object AssertTrue {
 case class CurrentDatabase() extends LeafExpression with Unevaluable {
   override def dataType: DataType = StringType
   override def nullable: Boolean = false
-  override def prettyName: String =
-    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("current_database")
+  override def prettyName: String = "current_database"
   final override val nodePatterns: Seq[TreePattern] = Seq(CURRENT_LIKE)
 }
 
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
index 17ada5a6f3d77..9dcca65efe5a8 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala
@@ -19,7 +19,7 @@ package org.apache.spark.sql.catalyst.expressions
 
 import java.util.Locale
 
-import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, TypeCheckResult}
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
 import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
 import org.apache.spark.sql.catalyst.expressions.Cast._
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodeGenerator, ExprCode}
@@ -257,10 +257,7 @@ case class ToCharacter(left: Expression, right: Expression)
       inputTypeCheck
     }
   }
-
-  override def prettyName: String =
-    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("to_char")
-
+  override def prettyName: String = "to_char"
   override def nullSafeEval(decimal: Any, format: Any): Any = {
     val input = decimal.asInstanceOf[Decimal]
     numberFormatter.format(input)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
index 17c5362f98f46..db78415a0cc54 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/randomExpressions.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.{FunctionRegistry, UnresolvedSeed}
+import org.apache.spark.sql.catalyst.analysis.UnresolvedSeed
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, CodeGenerator, ExprCode, FalseLiteral}
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.trees.TreePattern.{EXPRESSION_WITH_RANDOM_SEED, TreePattern}
@@ -111,12 +111,8 @@ case class Rand(child: Expression, hideSeed: Boolean = false) extends RDG {
   }
 
   override def flatArguments: Iterator[Any] = Iterator(child)
-
-  override def prettyName: String =
-    getTagValue(FunctionRegistry.FUNC_ALIAS).getOrElse("rand")
-
   override def sql: String = {
-    s"$prettyName(${if (hideSeed) "" else child.sql})"
+    s"rand(${if (hideSeed) "" else child.sql})"
   }
 
   override protected def withNewChildInternal(newChild: Expression): Rand = copy(child = newChild)
diff --git a/sql/core/src/test/resources/sql-functions/sql-expression-schema.md b/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
index 66e5b08d171fa..71fde8c7268cc 100644
--- a/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
+++ b/sql/core/src/test/resources/sql-functions/sql-expression-schema.md
@@ -96,17 +96,17 @@
 | org.apache.spark.sql.catalyst.expressions.Csc | csc | SELECT csc(1) | struct<CSC(1):double> |
 | org.apache.spark.sql.catalyst.expressions.CsvToStructs | from_csv | SELECT from_csv('1, 0.8', 'a INT, b DOUBLE') | struct<from_csv(1, 0.8):struct<a:int,b:double>> |
 | org.apache.spark.sql.catalyst.expressions.CumeDist | cume_dist | SELECT a, b, cume_dist() OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b) | struct<a:string,b:int,cume_dist() OVER (PARTITION BY a ORDER BY b ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):double> |
-| org.apache.spark.sql.catalyst.expressions.CurDateExpressionBuilder | curdate | SELECT curdate() | struct<curdate():date> |
+| org.apache.spark.sql.catalyst.expressions.CurDateExpressionBuilder | curdate | SELECT curdate() | struct<current_date():date> |
 | org.apache.spark.sql.catalyst.expressions.CurrentCatalog | current_catalog | SELECT current_catalog() | struct<current_catalog():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_database | SELECT current_database() | struct<current_database():string> |
-| org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_schema | SELECT current_schema() | struct<current_schema():string> |
+| org.apache.spark.sql.catalyst.expressions.CurrentDatabase | current_schema | SELECT current_schema() | struct<current_database():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentDate | current_date | SELECT current_date() | struct<current_date():date> |
 | org.apache.spark.sql.catalyst.expressions.CurrentTimeZone | current_timezone | SELECT current_timezone() | struct<current_timezone():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentTimestamp | current_timestamp | SELECT current_timestamp() | struct<current_timestamp():timestamp> |
 | org.apache.spark.sql.catalyst.expressions.CurrentUser | current_user | SELECT current_user() | struct<current_user():string> |
 | org.apache.spark.sql.catalyst.expressions.CurrentUser | user | SELECT user() | struct<current_user():string> |
 | org.apache.spark.sql.catalyst.expressions.DateAdd | date_add | SELECT date_add('2016-07-30', 1) | struct<date_add(2016-07-30, 1):date> |
-| org.apache.spark.sql.catalyst.expressions.DateAdd | dateadd | SELECT dateadd('2016-07-30', 1) | struct<dateadd(2016-07-30, 1):date> |
+| org.apache.spark.sql.catalyst.expressions.DateAdd | dateadd | SELECT dateadd('2016-07-30', 1) | struct<date_add(2016-07-30, 1):date> |
 | org.apache.spark.sql.catalyst.expressions.DateDiff | date_diff | SELECT date_diff('2009-07-31', '2009-07-30') | struct<date_diff(2009-07-31, 2009-07-30):int> |
 | org.apache.spark.sql.catalyst.expressions.DateDiff | datediff | SELECT datediff('2009-07-31', '2009-07-30') | struct<datediff(2009-07-31, 2009-07-30):int> |
 | org.apache.spark.sql.catalyst.expressions.DateFormatClass | date_format | SELECT date_format('2016-04-08', 'y') | struct<date_format(2016-04-08, y):string> |
@@ -131,8 +131,8 @@
 | org.apache.spark.sql.catalyst.expressions.EqualTo | == | SELECT 2 == 2 | struct<(2 = 2):boolean> |
 | org.apache.spark.sql.catalyst.expressions.EulerNumber | e | SELECT e() | struct<E():double> |
 | org.apache.spark.sql.catalyst.expressions.Exp | exp | SELECT exp(0) | struct<EXP(0):double> |
-| org.apache.spark.sql.catalyst.expressions.ExplodeExpressionBuilder | explode | SELECT explode(array(10, 20)) | struct<col:int> |
-| org.apache.spark.sql.catalyst.expressions.ExplodeExpressionBuilder | explode_outer | SELECT explode_outer(array(10, 20)) | struct<col:int> |
+| org.apache.spark.sql.catalyst.expressions.Explode | explode | SELECT explode(array(10, 20)) | struct<col:int> |
+| org.apache.spark.sql.catalyst.expressions.Explode | explode_outer | SELECT explode_outer(array(10, 20)) | struct<col:int> |
 | org.apache.spark.sql.catalyst.expressions.Expm1 | expm1 | SELECT expm1(0) | struct<EXPM1(0):double> |
 | org.apache.spark.sql.catalyst.expressions.Extract | extract | SELECT extract(YEAR FROM TIMESTAMP '2019-08-12 01:00:00.123456') | struct<extract(YEAR FROM TIMESTAMP '2019-08-12 01:00:00.123456'):int> |
 | org.apache.spark.sql.catalyst.expressions.Factorial | factorial | SELECT factorial(5) | struct<factorial(5):bigint> |
@@ -212,7 +212,7 @@
 | org.apache.spark.sql.catalyst.expressions.MapKeys | map_keys | SELECT map_keys(map(1, 'a', 2, 'b')) | struct<map_keys(map(1, a, 2, b)):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.MapValues | map_values | SELECT map_values(map(1, 'a', 2, 'b')) | struct<map_values(map(1, a, 2, b)):array<string>> |
 | org.apache.spark.sql.catalyst.expressions.MapZipWith | map_zip_with | SELECT map_zip_with(map(1, 'a', 2, 'b'), map(1, 'x', 2, 'y'), (k, v1, v2) -> concat(v1, v2)) | struct<map_zip_with(map(1, a, 2, b), map(1, x, 2, y), lambdafunction(concat(namedlambdavariable(), namedlambdavariable()), namedlambdavariable(), namedlambdavariable(), namedlambdavariable())):map<int,string>> |
-| org.apache.spark.sql.catalyst.expressions.MaskExpressionBuilder | mask | SELECT mask('abcd-EFGH-8765-4321') | struct<mask(abcd-EFGH-8765-4321, X, x, n, NULL):string> |
+| org.apache.spark.sql.catalyst.expressions.Mask | mask | SELECT mask('abcd-EFGH-8765-4321') | struct<mask(abcd-EFGH-8765-4321, X, x, n, NULL):string> |
 | org.apache.spark.sql.catalyst.expressions.Md5 | md5 | SELECT md5('Spark') | struct<md5(Spark):string> |
 | org.apache.spark.sql.catalyst.expressions.MicrosToTimestamp | timestamp_micros | SELECT timestamp_micros(1230219000123123) | struct<timestamp_micros(1230219000123123):timestamp> |
 | org.apache.spark.sql.catalyst.expressions.MillisToTimestamp | timestamp_millis | SELECT timestamp_millis(1230219000123) | struct<timestamp_millis(1230219000123):timestamp> |
@@ -255,7 +255,7 @@
 | org.apache.spark.sql.catalyst.expressions.RPadExpressionBuilder | rpad | SELECT rpad('hi', 5, '??') | struct<rpad(hi, 5, ??):string> |
 | org.apache.spark.sql.catalyst.expressions.RaiseError | raise_error | SELECT raise_error('custom error message') | struct<raise_error(custom error message):void> |
 | org.apache.spark.sql.catalyst.expressions.Rand | rand | SELECT rand() | struct<rand():double> |
-| org.apache.spark.sql.catalyst.expressions.Rand | random | SELECT random() | struct<random():double> |
+| org.apache.spark.sql.catalyst.expressions.Rand | random | SELECT random() | struct<rand():double> |
 | org.apache.spark.sql.catalyst.expressions.Randn | randn | SELECT randn() | struct<randn():double> |
 | org.apache.spark.sql.catalyst.expressions.Rank | rank | SELECT a, b, rank(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b) | struct<a:string,b:int,RANK() OVER (PARTITION BY a ORDER BY b ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):int> |
 | org.apache.spark.sql.catalyst.expressions.RegExpCount | regexp_count | SELECT regexp_count('Steven Jones and Stephen Smith are the best players', 'Ste(v&#124;ph)en') | struct<regexp_count(Steven Jones and Stephen Smith are the best players, Ste(v&#124;ph)en):int> |
@@ -325,7 +325,7 @@
 | org.apache.spark.sql.catalyst.expressions.TimeWindow | window | SELECT a, window.start, window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:06:00'), ('A2', '2021-01-01 00:01:00') AS tab(a, b) GROUP by a, window(b, '5 minutes') ORDER BY a, start | struct<a:string,start:timestamp,end:timestamp,cnt:bigint> |
 | org.apache.spark.sql.catalyst.expressions.ToBinary | to_binary | SELECT to_binary('abc', 'utf-8') | struct<to_binary(abc, utf-8):binary> |
 | org.apache.spark.sql.catalyst.expressions.ToCharacter | to_char | SELECT to_char(454, '999') | struct<to_char(454, 999):string> |
-| org.apache.spark.sql.catalyst.expressions.ToCharacter | to_varchar | SELECT to_varchar(454, '999') | struct<to_varchar(454, 999):string> |
+| org.apache.spark.sql.catalyst.expressions.ToCharacter | to_varchar | SELECT to_varchar(454, '999') | struct<to_char(454, 999):string> |
 | org.apache.spark.sql.catalyst.expressions.ToDegrees | degrees | SELECT degrees(3.141592653589793) | struct<DEGREES(3.141592653589793):double> |
 | org.apache.spark.sql.catalyst.expressions.ToNumber | to_number | SELECT to_number('454', '999') | struct<to_number(454, 999):decimal(3,0)> |
 | org.apache.spark.sql.catalyst.expressions.ToRadians | radians | SELECT radians(180) | struct<RADIANS(180):double> |
@@ -379,13 +379,13 @@
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | any | SELECT any(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<any(col):boolean> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | bool_or | SELECT bool_or(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<bool_or(col):boolean> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.BoolOr | some | SELECT some(col) FROM VALUES (true), (false), (false) AS tab(col) | struct<some(col):boolean> |
-| org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | array_agg | SELECT array_agg(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<array_agg(col):array<int>> |
+| org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | array_agg | SELECT array_agg(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_list(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CollectList | collect_list | SELECT collect_list(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_list(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CollectSet | collect_set | SELECT collect_set(col) FROM VALUES (1), (2), (1) AS tab(col) | struct<collect_set(col):array<int>> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.Corr | corr | SELECT corr(c1, c2) FROM VALUES (3, 2), (3, 3), (6, 4) as tab(c1, c2) | struct<corr(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.Count | count | SELECT count(*) FROM VALUES (NULL), (5), (5), (20) AS tab(col) | struct<count(1):bigint> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CountIf | count_if | SELECT count_if(col % 2 = 0) FROM VALUES (NULL), (0), (1), (2), (3) AS tab(col) | struct<count_if(((col % 2) = 0)):bigint> |
-| org.apache.spark.sql.catalyst.expressions.aggregate.CountMinSketchAggExpressionBuilder | count_min_sketch | SELECT hex(count_min_sketch(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col) | struct<hex(count_min_sketch(col, 0.5, 0.5, 1)):string> |
+| org.apache.spark.sql.catalyst.expressions.aggregate.CountMinSketchAgg | count_min_sketch | SELECT hex(count_min_sketch(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col) | struct<hex(count_min_sketch(col, 0.5, 0.5, 1)):string> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CovPopulation | covar_pop | SELECT covar_pop(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2) | struct<covar_pop(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.CovSample | covar_samp | SELECT covar_samp(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2) | struct<covar_samp(c1, c2):double> |
 | org.apache.spark.sql.catalyst.expressions.aggregate.First | first | SELECT first(col) FROM VALUES (10), (5), (20) AS tab(col) | struct<first(col):int> |
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
index ce75051630dfb..544d736b56b64 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/charvarchar.sql.out
@@ -714,19 +714,19 @@ Project [chr(cast(167 as bigint)) AS chr(167)#x, chr(cast(247 as bigint)) AS chr
 -- !query
 SELECT to_varchar(78.12, '$99.99')
 -- !query analysis
-Project [to_varchar(78.12, $99.99) AS to_varchar(78.12, $99.99)#x]
+Project [to_char(78.12, $99.99) AS to_char(78.12, $99.99)#x]
 +- OneRowRelation
 
 
 -- !query
 SELECT to_varchar(111.11, '99.9')
 -- !query analysis
-Project [to_varchar(111.11, 99.9) AS to_varchar(111.11, 99.9)#x]
+Project [to_char(111.11, 99.9) AS to_char(111.11, 99.9)#x]
 +- OneRowRelation
 
 
 -- !query
 SELECT to_varchar(12454.8, '99,999.9S')
 -- !query analysis
-Project [to_varchar(12454.8, 99,999.9S) AS to_varchar(12454.8, 99,999.9S)#x]
+Project [to_char(12454.8, 99,999.9S) AS to_char(12454.8, 99,999.9S)#x]
 +- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
index 2759f5e67507b..ad72e19b6bb7f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/current_database_catalog.sql.out
@@ -2,5 +2,5 @@
 -- !query
 select current_database(), current_schema(), current_catalog()
 -- !query analysis
-Project [current_database() AS current_database()#x, current_schema() AS current_schema()#x, current_catalog() AS current_catalog()#x]
+Project [current_database() AS current_database()#x, current_database() AS current_database()#x, current_catalog() AS current_catalog()#x]
 +- OneRowRelation
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index d7c7aad31a880..93c463575dc1a 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1133,7 +1133,7 @@ SELECT
 FROM VALUES
   (1), (2), (1) AS tab(col)
 -- !query analysis
-Aggregate [collect_list(col#x, 0, 0) AS collect_list(col)#x, array_agg(col#x, 0, 0) AS array_agg(col)#x]
+Aggregate [collect_list(col#x, 0, 0) AS collect_list(col)#x, collect_list(col#x, 0, 0) AS collect_list(col)#x]
 +- SubqueryAlias tab
    +- LocalRelation [col#x]
 
@@ -1147,7 +1147,7 @@ FROM VALUES
   (1,4),(2,3),(1,4),(2,4) AS v(a,b)
 GROUP BY a
 -- !query analysis
-Aggregate [a#x], [a#x, collect_list(b#x, 0, 0) AS collect_list(b)#x, array_agg(b#x, 0, 0) AS array_agg(b)#x]
+Aggregate [a#x], [a#x, collect_list(b#x, 0, 0) AS collect_list(b)#x, collect_list(b#x, 0, 0) AS collect_list(b)#x]
 +- SubqueryAlias v
    +- LocalRelation [a#x, b#x]
 
diff --git a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
index a9604fc375acc..dd8bdc698ea7f 100644
--- a/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/charvarchar.sql.out
@@ -1222,7 +1222,7 @@ struct<chr(167):string,chr(247):string,chr(215):string>
 -- !query
 SELECT to_varchar(78.12, '$99.99')
 -- !query schema
-struct<to_varchar(78.12, $99.99):string>
+struct<to_char(78.12, $99.99):string>
 -- !query output
 $78.12
 
@@ -1230,7 +1230,7 @@ $78.12
 -- !query
 SELECT to_varchar(111.11, '99.9')
 -- !query schema
-struct<to_varchar(111.11, 99.9):string>
+struct<to_char(111.11, 99.9):string>
 -- !query output
 ##.#
 
@@ -1238,6 +1238,6 @@ struct<to_varchar(111.11, 99.9):string>
 -- !query
 SELECT to_varchar(12454.8, '99,999.9S')
 -- !query schema
-struct<to_varchar(12454.8, 99,999.9S):string>
+struct<to_char(12454.8, 99,999.9S):string>
 -- !query output
 12,454.8+
diff --git a/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out b/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
index 7fbe2dfff4db1..379bf01e64571 100644
--- a/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/current_database_catalog.sql.out
@@ -2,6 +2,6 @@
 -- !query
 select current_database(), current_schema(), current_catalog()
 -- !query schema
-struct<current_database():string,current_schema():string,current_catalog():string>
+struct<current_database():string,current_database():string,current_catalog():string>
 -- !query output
 default	default	spark_catalog
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index 44fbfd7ad4952..548917ef79b2d 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1066,7 +1066,7 @@ SELECT
 FROM VALUES
   (1), (2), (1) AS tab(col)
 -- !query schema
-struct<collect_list(col):array<int>,array_agg(col):array<int>>
+struct<collect_list(col):array<int>,collect_list(col):array<int>>
 -- !query output
 [1,2,1]	[1,2,1]
 
@@ -1080,7 +1080,7 @@ FROM VALUES
   (1,4),(2,3),(1,4),(2,4) AS v(a,b)
 GROUP BY a
 -- !query schema
-struct<a:int,collect_list(b):array<int>,array_agg(b):array<int>>
+struct<a:int,collect_list(b):array<int>,collect_list(b):array<int>>
 -- !query output
 1	[4,4]	[4,4]
 2	[3,4]	[3,4]
diff --git a/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out b/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
index 28457c0579e95..0f7ff3f107567 100644
--- a/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/subexp-elimination.sql.out
@@ -72,7 +72,7 @@ NULL
 -- !query
 SELECT from_json(a, 'struct<a:int,b:string>').a + random() > 2, from_json(a, 'struct<a:int,b:string>').b, from_json(b, 'array<struct<a:int,b:int>>')[0].a, from_json(b, 'array<struct<a:int,b:int>>')[0].b + + random() > 2 FROM testData
 -- !query schema
-struct<((from_json(a).a + random()) > 2):boolean,from_json(a).b:string,from_json(b)[0].a:int,((from_json(b)[0].b + (+ random())) > 2):boolean>
+struct<((from_json(a).a + rand()) > 2):boolean,from_json(a).b:string,from_json(b)[0].a:int,((from_json(b)[0].b + (+ rand())) > 2):boolean>
 -- !query output
 NULL	NULL	1	true
 false	2	1	true
@@ -84,7 +84,7 @@ true	6	6	true
 -- !query
 SELECT if(from_json(a, 'struct<a:int,b:string>').a + random() > 5, from_json(b, 'array<struct<a:int,b:int>>')[0].a, from_json(b, 'array<struct<a:int,b:int>>')[0].a + 1) FROM testData
 -- !query schema
-struct<(IF(((from_json(a).a + random()) > 5), from_json(b)[0].a, (from_json(b)[0].a + 1))):int>
+struct<(IF(((from_json(a).a + rand()) > 5), from_json(b)[0].a, (from_json(b)[0].a + 1))):int>
 -- !query output
 2
 2
@@ -96,7 +96,7 @@ NULL
 -- !query
 SELECT case when from_json(a, 'struct<a:int,b:string>').a > 5 then from_json(a, 'struct<a:int,b:string>').b + random() > 5 when from_json(a, 'struct<a:int,b:string>').a > 4 then from_json(a, 'struct<a:int,b:string>').b + 1 + random() > 2 else from_json(a, 'struct<a:int,b:string>').b + 2 + random() > 5 end FROM testData
 -- !query schema
-struct<CASE WHEN (from_json(a).a > 5) THEN ((from_json(a).b + random()) > 5) WHEN (from_json(a).a > 4) THEN (((from_json(a).b + 1) + random()) > 2) ELSE (((from_json(a).b + 2) + random()) > 5) END:boolean>
+struct<CASE WHEN (from_json(a).a > 5) THEN ((from_json(a).b + rand()) > 5) WHEN (from_json(a).a > 4) THEN (((from_json(a).b + 1) + rand()) > 2) ELSE (((from_json(a).b + 2) + rand()) > 5) END:boolean>
 -- !query output
 NULL
 false

From 3a4ebae450cddf9b310eda0e9b8b12a39bf4729b Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 18 Oct 2024 09:49:24 -0700
Subject: [PATCH 892/986] [SPARK-50021][CORE][UI][3.5] Fix `ApplicationPage` to
 hide App UI links when UI is disabled

### What changes were proposed in this pull request?

This PR aims to fix `ApplicationPage` to hide UI link when UI is disabled.

### Why are the changes needed?

Previously, Spark throws `HTTP ERROR 500 java.lang.IllegalArgumentException: Invalid URI host: null (authority: null)` like the following

**1. PREPARATION**
```
$ cat conf/spark-defaults.conf
spark.ui.reverseProxy true
spark.ui.reverseProxyUrl http://localhost:8080

$ sbin/start-master.sh

$ sbin/start-worker.sh spark://$(hostname):7077

$ bin/spark-shell --master spark://$(hostname):7077 -c spark.ui.enabled=false
```

**2. BEFORE**
<img width="496" alt="Screenshot 2024-10-17 at 21 24 32" src="https://github.com/user-attachments/assets/9884790c-a294-4e61-b630-7758c5532afc">

<img width="1002" alt="Screenshot 2024-10-17 at 21 24 51" src="https://github.com/user-attachments/assets/f1e3a121-37ba-4525-a433-21ad15402edf">

**3. AFTER**
<img width="493" alt="Screenshot 2024-10-17 at 21 22 26" src="https://github.com/user-attachments/assets/7a1ef578-3d9f-495e-9545-6edd26b4d565">

### Does this PR introduce _any_ user-facing change?

Yes, but previously it was a broken link.

### How was this patch tested?

Pass the CIs with the newly added test case.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48547 from dongjoon-hyun/SPARK-50021-3.5.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../deploy/master/ui/ApplicationPage.scala    | 14 +++-
 .../master/ui/ApplicationPageSuite.scala      | 73 +++++++++++++++++++
 2 files changed, 83 insertions(+), 4 deletions(-)
 create mode 100644 core/src/test/scala/org/apache/spark/deploy/master/ui/ApplicationPageSuite.scala

diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
index 9e10a0bbf3964..31d541368ab45 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
@@ -21,6 +21,8 @@ import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
+import org.apache.commons.lang3.StringUtils
+
 import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
 import org.apache.spark.deploy.ExecutorState
 import org.apache.spark.deploy.StandaloneResourceUtils.{formatResourceRequirements, formatResourcesAddresses}
@@ -93,10 +95,14 @@ private[ui] class ApplicationPage(parent: MasterWebUI) extends WebUIPage("app")
             <li><strong>State:</strong> {app.state}</li>
             {
               if (!app.isFinished) {
-                <li><strong>
-                    <a href={UIUtils.makeHref(parent.master.reverseProxy,
-                      app.id, app.desc.appUiUrl)}>Application Detail UI</a>
-                </strong></li>
+                if (StringUtils.isBlank(app.desc.appUiUrl)) {
+                  <li><strong>Application UI:</strong> Disabled</li>
+                } else {
+                  <li><strong>
+                      <a href={UIUtils.makeHref(parent.master.reverseProxy,
+                        app.id, app.desc.appUiUrl)}>Application Detail UI</a>
+                  </strong></li>
+                }
               }
             }
           </ul>
diff --git a/core/src/test/scala/org/apache/spark/deploy/master/ui/ApplicationPageSuite.scala b/core/src/test/scala/org/apache/spark/deploy/master/ui/ApplicationPageSuite.scala
new file mode 100644
index 0000000000000..e1edef8f4155c
--- /dev/null
+++ b/core/src/test/scala/org/apache/spark/deploy/master/ui/ApplicationPageSuite.scala
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.deploy.master.ui
+
+import java.util.Date
+import javax.servlet.http.HttpServletRequest
+
+import org.mockito.Mockito.{mock, when}
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.deploy.ApplicationDescription
+import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
+import org.apache.spark.deploy.master.{ApplicationInfo, ApplicationState, Master}
+import org.apache.spark.resource.ResourceProfile
+import org.apache.spark.rpc.RpcEndpointRef
+
+class ApplicationPageSuite extends SparkFunSuite {
+
+  private val master = mock(classOf[Master])
+
+  private val rp = new ResourceProfile(Map.empty, Map.empty)
+  private val desc = ApplicationDescription("name", Some(4), null, "appUiUrl", rp)
+  private val descWithoutUI = ApplicationDescription("name", Some(4), null, "", rp)
+  private val appFinished = new ApplicationInfo(0, "app-finished", desc, new Date, null, 1)
+  appFinished.markFinished(ApplicationState.FINISHED)
+  private val appLive = new ApplicationInfo(0, "app-live", desc, new Date, null, 1)
+  private val appLiveWithoutUI =
+    new ApplicationInfo(0, "app-live-without-ui", descWithoutUI, new Date, null, 1)
+
+  private val state = mock(classOf[MasterStateResponse])
+  when(state.completedApps).thenReturn(Array(appFinished))
+  when(state.activeApps).thenReturn(Array(appLive, appLiveWithoutUI))
+
+  private val rpc = mock(classOf[RpcEndpointRef])
+  when(rpc.askSync[MasterStateResponse](RequestMasterState)).thenReturn(state)
+
+  private val masterWebUI = mock(classOf[MasterWebUI])
+  when(masterWebUI.master).thenReturn(master)
+  when(masterWebUI.masterEndpointRef).thenReturn(rpc)
+
+  test("SPARK-45774: Application Detail UI") {
+    val request = mock(classOf[HttpServletRequest])
+    when(request.getParameter("appId")).thenReturn("app-live")
+
+    val result = new ApplicationPage(masterWebUI).render(request).toString()
+    assert(result.contains("Application Detail UI"))
+    assert(!result.contains("Application History UI"))
+  }
+
+  test("SPARK-50021: Application Detail UI is empty when spark.ui.enabled=false") {
+    val request = mock(classOf[HttpServletRequest])
+    when(request.getParameter("appId")).thenReturn("app-live-without-ui")
+
+    val result = new ApplicationPage(masterWebUI).render(request).toString()
+    assert(result.contains("Application UI:</strong> Disabled"))
+    assert(!result.contains("Application History UI"))
+  }
+}

From d24393b0b5edd8b2f1a224042c03c36eb7560cff Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 18 Oct 2024 14:23:26 -0700
Subject: [PATCH 893/986] [SPARK-50022][CORE][UI][3.5] Fix `MasterPage` to hide
 App UI links when UI is disabled

### What changes were proposed in this pull request?

This PR aims to fix `MasterPage` to hide App UI links when UI is disabled.

Previously, the link leads the following errors if a user clicks it.
<img width="997" alt="Screenshot 2024-10-17 at 22 06 22" src="https://github.com/user-attachments/assets/e53ba01f-533f-4d42-a488-830afaf40efa">

### Why are the changes needed?

**1. PREPARATION**

```
$ cat conf/spark-defaults.conf
spark.ui.reverseProxy true
spark.ui.reverseProxyUrl http://localhost:8080

$ sbin/start-master.sh

$ sbin/start-worker.sh spark://$(hostname):7077

$ bin/spark-shell --master spark://$(hostname):7077 -c spark.ui.enabled=false
```

**2. BEFORE**

<img width="340" alt="Screenshot 2024-10-17 at 22 01 16" src="https://github.com/user-attachments/assets/3069e43d-ba8c-4d36-8101-65e10b420879">

**3. AFTER**

<img width="345" alt="Screenshot 2024-10-17 at 22 04 12" src="https://github.com/user-attachments/assets/b9feba47-90fb-4557-803c-94eaa8ce62e1">

### Does this PR introduce _any_ user-facing change?

The previous behavior shows HTTP 500 error.

### How was this patch tested?

Pass the CIs with a newly added test case.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48549 from dongjoon-hyun/SPARK-50022-3.5.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/deploy/master/ui/MasterPage.scala   |  3 +-
 .../deploy/master/ui/MasterWebUISuite.scala   |  5 +-
 .../master/ui/ReadOnlyMasterWebUISuite.scala  | 82 +++++++++++++++++++
 3 files changed, 88 insertions(+), 2 deletions(-)
 create mode 100644 core/src/test/scala/org/apache/spark/deploy/master/ui/ReadOnlyMasterWebUISuite.scala

diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
index d8753a0ffcb59..078ed102f0bbd 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
@@ -21,6 +21,7 @@ import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
+import org.apache.commons.lang3.StringUtils
 import org.json4s.JValue
 
 import org.apache.spark.deploy.DeployMessages.{KillDriverResponse, MasterStateResponse, RequestKillDriver, RequestMasterState}
@@ -289,7 +290,7 @@ private[ui] class MasterPage(parent: MasterWebUI) extends WebUIPage("") {
       </td>
       <td>
         {
-          if (app.isFinished) {
+          if (app.isFinished || StringUtils.isBlank(app.desc.appUiUrl)) {
             app.desc.name
           } else {
             <a href={UIUtils.makeHref(parent.master.reverseProxy,
diff --git a/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala b/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
index 40265a12af93b..bda3309ad8208 100644
--- a/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
+++ b/core/src/test/scala/org/apache/spark/deploy/master/ui/MasterWebUISuite.scala
@@ -35,6 +35,7 @@ import org.apache.spark.rpc.{RpcEndpointRef, RpcEnv}
 import org.apache.spark.util.Utils
 
 class MasterWebUISuite extends SparkFunSuite {
+  import MasterWebUISuite._
 
   val conf = new SparkConf().set(DECOMMISSION_ENABLED, true)
   val securityMgr = new SecurityManager(conf)
@@ -113,12 +114,14 @@ class MasterWebUISuite extends SparkFunSuite {
   private def convPostDataToString(data: Map[String, String]): String = {
     convPostDataToString(data.toSeq)
   }
+}
 
+object MasterWebUISuite {
   /**
    * Send an HTTP request to the given URL using the method and the body specified.
    * Return the connection object.
    */
-  private def sendHttpRequest(
+  private[ui] def sendHttpRequest(
       url: String,
       method: String,
       body: String = ""): HttpURLConnection = {
diff --git a/core/src/test/scala/org/apache/spark/deploy/master/ui/ReadOnlyMasterWebUISuite.scala b/core/src/test/scala/org/apache/spark/deploy/master/ui/ReadOnlyMasterWebUISuite.scala
new file mode 100644
index 0000000000000..9fd5431418aa2
--- /dev/null
+++ b/core/src/test/scala/org/apache/spark/deploy/master/ui/ReadOnlyMasterWebUISuite.scala
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.deploy.master.ui
+
+import java.util.Date
+import javax.servlet.http.HttpServletResponse.SC_OK
+
+import scala.io.Source
+
+import org.mockito.Mockito.{mock, when}
+
+import org.apache.spark.{SecurityManager, SparkConf, SparkFunSuite}
+import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
+import org.apache.spark.deploy.master._
+import org.apache.spark.deploy.master.ui.MasterWebUISuite._
+import org.apache.spark.internal.config.DECOMMISSION_ENABLED
+import org.apache.spark.internal.config.UI.UI_KILL_ENABLED
+import org.apache.spark.rpc.{RpcEndpointRef, RpcEnv}
+import org.apache.spark.util.Utils
+
+class ReadOnlyMasterWebUISuite extends SparkFunSuite {
+
+  import org.apache.spark.deploy.DeployTestUtils._
+
+  val conf = new SparkConf()
+    .set(UI_KILL_ENABLED, false)
+    .set(DECOMMISSION_ENABLED, false)
+  val securityMgr = new SecurityManager(conf)
+  val rpcEnv = mock(classOf[RpcEnv])
+  val master = mock(classOf[Master])
+  val masterEndpointRef = mock(classOf[RpcEndpointRef])
+  when(master.securityMgr).thenReturn(securityMgr)
+  when(master.conf).thenReturn(conf)
+  when(master.rpcEnv).thenReturn(rpcEnv)
+  when(master.self).thenReturn(masterEndpointRef)
+  val desc1 = createAppDesc().copy(name = "WithUI")
+  val desc2 = desc1.copy(name = "WithoutUI", appUiUrl = "")
+  val app1 = new ApplicationInfo(new Date().getTime, "app1", desc1, new Date(), null, Int.MaxValue)
+  val app2 = new ApplicationInfo(new Date().getTime, "app2", desc2, new Date(), null, Int.MaxValue)
+  val state = new MasterStateResponse(
+    "host", 8080, None, Array.empty, Array(app1, app2), Array.empty,
+    Array.empty, Array.empty, RecoveryState.ALIVE)
+  when(masterEndpointRef.askSync[MasterStateResponse](RequestMasterState)).thenReturn(state)
+  val masterWebUI = new MasterWebUI(master, 0)
+
+  override def beforeAll(): Unit = {
+    super.beforeAll()
+    masterWebUI.bind()
+  }
+
+  override def afterAll(): Unit = {
+    try {
+      masterWebUI.stop()
+    } finally {
+      super.afterAll()
+    }
+  }
+
+  test("SPARK-50022: Fix 'MasterPage' to hide App UI links when UI is disabled") {
+    val url = s"http://${Utils.localHostNameForURI()}:${masterWebUI.boundPort}/"
+    val conn = sendHttpRequest(url, "GET")
+    assert(conn.getResponseCode === SC_OK)
+    val result = Source.fromInputStream(conn.getInputStream).mkString
+    assert(result.contains("<a href=\"appUiUrl\">WithUI</a>"))
+    assert(result.contains("  WithoutUI\n"))
+  }
+}

From e3e79e5b0891b41c8b3399cebefba3e14d4b4db7 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Fri, 25 Oct 2024 18:10:21 +0200
Subject: [PATCH 894/986] [SPARK-50123][TESTS] Move BitmapExpressionUtilsSuite
 & ExpressionImplUtilsSuite from java to scala test sources folder

### What changes were proposed in this pull request?

Move the BitmapExpressionUtilsSuite and ExpressionImplUtilsSuite from the Java to the Scala test sources folder where they belong.

### Why are the changes needed?

code refactoring

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #48657 from yaooqinn/minor.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 4de286aed61cd9199a99257a395a3e375d0aab3c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala     | 0
 .../spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala | 0
 2 files changed, 0 insertions(+), 0 deletions(-)
 rename sql/catalyst/src/test/{java => scala}/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala (100%)
 rename sql/catalyst/src/test/{java => scala}/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala (100%)

diff --git a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
similarity index 100%
rename from sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
rename to sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/BitmapExpressionUtilsSuite.scala
diff --git a/sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala
similarity index 100%
rename from sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala
rename to sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala

From 2f5e0fae122283c1ebd2c7b84b9614758af4b674 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 28 Oct 2024 17:00:33 -0700
Subject: [PATCH 895/986] [SPARK-50150][BUILD][3.5] Upgrade Jetty to
 9.4.56.v20240826

### What changes were proposed in this pull request?

This PR aims to upgrade Jetty to 9.4.56.v20240826.

### Why are the changes needed?

To bring the latest bug fixes.

### Does this PR introduce _any_ user-facing change?

No behavior change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48684 from dongjoon-hyun/SPARK-50150.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 4 ++--
 pom.xml                               | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index a9d63c1ad0f99..62e001b8fd53a 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -130,8 +130,8 @@ jersey-container-servlet/2.40//jersey-container-servlet-2.40.jar
 jersey-hk2/2.40//jersey-hk2-2.40.jar
 jersey-server/2.40//jersey-server-2.40.jar
 jettison/1.1//jettison-1.1.jar
-jetty-util-ajax/9.4.54.v20240208//jetty-util-ajax-9.4.54.v20240208.jar
-jetty-util/9.4.54.v20240208//jetty-util-9.4.54.v20240208.jar
+jetty-util-ajax/9.4.56.v20240826//jetty-util-ajax-9.4.56.v20240826.jar
+jetty-util/9.4.56.v20240826//jetty-util-9.4.56.v20240826.jar
 jline/2.14.6//jline-2.14.6.jar
 joda-time/2.12.5//joda-time-2.12.5.jar
 jodd-core/3.5.2//jodd-core-3.5.2.jar
diff --git a/pom.xml b/pom.xml
index 3d9b003bd19c8..8a1bfd7ee6b0e 100644
--- a/pom.xml
+++ b/pom.xml
@@ -143,7 +143,7 @@
     <parquet.version>1.13.1</parquet.version>
     <orc.version>1.9.4</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
-    <jetty.version>9.4.54.v20240208</jetty.version>
+    <jetty.version>9.4.56.v20240826</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>
     <chill.version>0.10.0</chill.version>
     <!--

From 175b5e9d7f80167d835fd229efa461a0012228c2 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 10 Aug 2023 12:12:11 +0900
Subject: [PATCH 896/986] [MINOR][BUILD] Skip `deepspeed` in requirements on
 MacOS
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
`deepspeed` is not supported on MacOS

### Why are the changes needed?
to fix this on MacOS
```
pip install -U -r dev/requirements.txt

...

Collecting deepspeed (from -r dev/requirements.txt (line 69))
  Using cached deepspeed-0.10.0.tar.gz (836 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [20 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/setup.py", line 37, in <module>
          from op_builder.all_ops import ALL_OPS
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/op_builder/all_ops.py", line 29, in <module>
          builder = get_accelerator().create_op_builder(member_name)
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/accelerator/mps_accelerator.py", line 211, in create_op_builder
          builder_class = self.get_op_builder(op_name)
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/accelerator/mps_accelerator.py", line 218, in get_op_builder
          from deepspeed.ops.op_builder.cpu import NotImplementedBuilder
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/deepspeed/__init__.py", line 21, in <module>
          from . import ops
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/deepspeed/ops/__init__.py", line 6, in <module>
          from . import adam
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/deepspeed/ops/adam/__init__.py", line 6, in <module>
          from .cpu_adam import DeepSpeedCPUAdam
        File "/private/var/folders/l_/b6xgqlvx0895dljz46x9nl780000gp/T/pip-install-zd43o1nk/deepspeed_47bbb5784bc942e6bdf0f5ec24e9f939/deepspeed/ops/adam/cpu_adam.py", line 7, in <module>
          from cpuinfo import get_cpu_info
      ModuleNotFoundError: No module named 'cpuinfo'
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
manually check

Closes #42411 from zhengruifeng/install_deepspeed_on_linux.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 5c94565e75cc32e552414f27da8082591121a86d)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/requirements.txt b/dev/requirements.txt
index 0749af75aa4be..e3c3cae59d05d 100644
--- a/dev/requirements.txt
+++ b/dev/requirements.txt
@@ -67,5 +67,5 @@ torchvision
 torcheval
 
 # DeepspeedTorchDistributor dependencies
-deepspeed
+deepspeed; sys_platform != 'darwin'
 

From 4205b795f893ef51441250cd48c094655ec42193 Mon Sep 17 00:00:00 2001
From: panbingkun <panbingkun@baidu.com>
Date: Wed, 30 Oct 2024 11:04:26 +0100
Subject: [PATCH 897/986] [SPARK-50155][3.5] Move scala and java files to their
 default folders

### What changes were proposed in this pull request?
The pr aims to move `scala` and `java` files to their default folders (`src/main/scala` and `src/main/java`), includes:
- `ByteArrayUtils.java`
  from: `common/utils/src/main/scala/org/apache/spark/unsafe/array/ByteArrayUtils.java`
  to: `common/utils/src/main/java/org/apache/spark/unsafe/array/ByteArrayUtils.java`
- `CustomDecimal.scala`
  from: `connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala`
  to: `connector/avro/src/main/scala/org/apache/spark/sql/avro/CustomDecimal.scala`

PS: The pr is backport branch-3.5, master pr is: https://github.com/apache/spark/pull/48691
Note: In branch-3.5, the `OrcCompressionCodec.java` file does not exist, so there is no need to move it.

### Why are the changes needed?
Move `scala` and `java` files to the default folder of the project to avoid `misunderstandings` for spark developers.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #48700 from panbingkun/SPARK-50155_branch3.5.

Authored-by: panbingkun <panbingkun@baidu.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
---
 .../org/apache/spark/unsafe/array/ByteArrayUtils.java             | 0
 .../{java => scala}/org/apache/spark/sql/avro/CustomDecimal.scala | 0
 2 files changed, 0 insertions(+), 0 deletions(-)
 rename common/utils/src/main/{scala => java}/org/apache/spark/unsafe/array/ByteArrayUtils.java (100%)
 rename connector/avro/src/main/{java => scala}/org/apache/spark/sql/avro/CustomDecimal.scala (100%)

diff --git a/common/utils/src/main/scala/org/apache/spark/unsafe/array/ByteArrayUtils.java b/common/utils/src/main/java/org/apache/spark/unsafe/array/ByteArrayUtils.java
similarity index 100%
rename from common/utils/src/main/scala/org/apache/spark/unsafe/array/ByteArrayUtils.java
rename to common/utils/src/main/java/org/apache/spark/unsafe/array/ByteArrayUtils.java
diff --git a/connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/CustomDecimal.scala
similarity index 100%
rename from connector/avro/src/main/java/org/apache/spark/sql/avro/CustomDecimal.scala
rename to connector/avro/src/main/scala/org/apache/spark/sql/avro/CustomDecimal.scala

From 0229c0ea451c953e78cd273d9de2bc05962470a5 Mon Sep 17 00:00:00 2001
From: changgyoopark-db <changgyoo.park@databricks.com>
Date: Fri, 1 Nov 2024 12:03:21 +0900
Subject: [PATCH 898/986] [SPARK-50176][CONNECT][3.5] Disallow reattaching
 after the session is closed

### What changes were proposed in this pull request?

Disallow cursors from reattaching corresponding ExecuteHolders after the session is closed.
In order to prevent a session with a long-running query from being closed, the session is always accessed when reattaching.

https://github.com/apache/spark/pull/44670 resolves this issue in Spark 4.0.0.

### Why are the changes needed?

SPARK-50176. Sessions with long running queries are susceptible to cache eviction, causing trouble when the client tries to reattach to the execution.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

org.apache.spark.sql.connect.execution.ReattachableExecuteSuite

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48725 from changgyoopark-db/SPARK-50176-3.5.

Authored-by: changgyoopark-db <changgyoo.park@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../SparkConnectReattachExecuteHandler.scala  |  3 +++
 .../connect/service/SparkConnectService.scala |  7 +++++++
 .../execution/ReattachableExecuteSuite.scala  | 20 +++++++++++++++++++
 3 files changed, 30 insertions(+)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
index 393b832de878e..deb29e49367a5 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
@@ -29,6 +29,9 @@ class SparkConnectReattachExecuteHandler(
     extends Logging {
 
   def handle(v: proto.ReattachExecuteRequest): Unit = {
+    // An exception will be raised if the session is not available.
+    val _sessionHolder =
+      SparkConnectService.getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
     val executeHolder = SparkConnectService.executionManager
       .getExecuteHolder(ExecuteKey(v.getUserContext.getUserId, v.getSessionId, v.getOperationId))
       .getOrElse {
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
index e8af2acfd2e27..edf8147eff85a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala
@@ -360,6 +360,13 @@ object SparkConnectService extends Logging {
     userSessionMapping.invalidateAll()
   }
 
+  /**
+   * Used for testing
+   */
+  private[connect] def invalidateSession(userId: String, sessionId: String): Unit = {
+    userSessionMapping.invalidate((userId, sessionId))
+  }
+
   /**
    * Used for testing.
    */
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
index 06cd1a5666b66..28c1a8e4e109f 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -56,6 +56,26 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
     }
   }
 
+  test("reattach after connection expired") {
+    withClient { client =>
+      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
+      val operationId = getReattachableIterator(iter).operationId
+      // open the iterator
+      iter.next()
+
+      SparkConnectService.invalidateSession(defaultUserId, defaultSessionId)
+      withRawBlockingStub { stub =>
+        val iter2 = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
+
+        // session closed, bound to fail
+        val e = intercept[StatusRuntimeException] {
+          while (iter2.hasNext) iter2.next()
+        }
+        assert(e.getMessage.contains("INVALID_HANDLE.SESSION_NOT_FOUND"))
+      }
+    }
+  }
+
   test("raw interrupted RPC results in INVALID_CURSOR.DISCONNECTED error") {
     withRawBlockingStub { stub =>
       val iter = stub.executePlan(buildExecutePlanRequest(buildPlan(MEDIUM_RESULTS_QUERY)))

From 6df196622e1d20fb9d57a0bae105ea2c4f7b51d8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 31 Oct 2024 20:29:49 -0700
Subject: [PATCH 899/986] [SPARK-50195][CORE] Fix `StandaloneRestServer` to
 propagate `spark.app.name` to `SparkSubmit` properly

This PR aims to fix `StandaloneRestServer` to propagate `spark.app.name` to `SparkSubmit` properly.

This is a long-standing bug which PySpark job didn't get a proper `spark.app.name` propagation unlike Scala/Java Spark jobs. Since PySpark jobs are invoked indirectly via `SparkSubmit`, we need to hand over `spark.app.name` via `-c` configuration.

This is a bug fix. The new behavior is the expected bahavior.

Pass the CIs with the newly added test case.

No.

Closes #48729 from dongjoon-hyun/SPARK-50195.

Lead-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit ce899404f59d63b83e24ad24d65628676f85c773)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/deploy/rest/StandaloneRestServer.scala      | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/rest/StandaloneRestServer.scala b/core/src/main/scala/org/apache/spark/deploy/rest/StandaloneRestServer.scala
index c060ef9da8c10..12413698d2832 100644
--- a/core/src/main/scala/org/apache/spark/deploy/rest/StandaloneRestServer.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/rest/StandaloneRestServer.scala
@@ -21,7 +21,7 @@ import java.io.File
 import javax.servlet.http.HttpServletResponse
 
 import org.apache.spark.{SPARK_VERSION => sparkVersion, SparkConf}
-import org.apache.spark.deploy.{Command, DeployMessages, DriverDescription}
+import org.apache.spark.deploy.{Command, DeployMessages, DriverDescription, SparkSubmit}
 import org.apache.spark.deploy.ClientArguments._
 import org.apache.spark.internal.config
 import org.apache.spark.launcher.SparkLauncher
@@ -168,9 +168,16 @@ private[rest] class StandaloneSubmitRequestServlet(
     val extraJavaOpts = driverExtraJavaOptions.map(Utils.splitCommandString).getOrElse(Seq.empty)
     val sparkJavaOpts = Utils.sparkJavaOpts(conf)
     val javaOpts = sparkJavaOpts ++ defaultJavaOpts ++ extraJavaOpts
+    val sparkSubmitOpts = if (mainClass.equals(classOf[SparkSubmit].getName)) {
+      sparkProperties.get("spark.app.name")
+        .map { v => Seq("-c", s"spark.app.name=$v") }
+        .getOrElse(Seq.empty[String])
+    } else {
+      Seq.empty[String]
+    }
     val command = new Command(
       "org.apache.spark.deploy.worker.DriverWrapper",
-      Seq("{{WORKER_URL}}", "{{USER_JAR}}", mainClass) ++ appArgs, // args to the DriverWrapper
+      Seq("{{WORKER_URL}}", "{{USER_JAR}}", mainClass) ++ sparkSubmitOpts ++ appArgs,
       environmentVariables, extraClassPath, extraLibraryPath, javaOpts)
     val actualDriverMemory = driverMemory.map(Utils.memoryStringToMb).getOrElse(DEFAULT_MEMORY)
     val actualDriverCores = driverCores.map(_.toInt).getOrElse(DEFAULT_CORES)

From 9d472661daad4703628e9fbf0ba9922abeed7354 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 31 Oct 2024 23:42:06 -0700
Subject: [PATCH 900/986] [SPARK-50199][PYTHON][TESTS] Use Spark 3.4.4 instead
 of 3.0.1 in `test_install_spark`

### What changes were proposed in this pull request?

This PR aims to use Spark 3.4.4 instead of 3.0.1 in `test_install_spark`.

Since Spark 3.4.4 is the End-Of-Life release, it will be in `dlcdc`, `archive`, and `dist` channel until Apache Spark 4.0 release. Previously, 3.0.1 exists only in `archive` and causes flaky failures.

### Why are the changes needed?

To reduce the flakiness.

- https://github.com/apache/spark/actions/runs/11623974780/job/32371883850
 ```
urllib.error.URLError: <urlopen error [Errno 110] Connection timed out>
ERROR
test_package_name (pyspark.tests.test_install_spark.SparkInstallationTestCase) ... Trying to download Spark spark-3.0.1 from [https://dlcdn.apache.org/, https://archive.apache.org/dist, https://dist.apache.org/repos/dist/release]
Downloading spark-3.0.1 for Hadoop hadoop3.2 from:
- https://dlcdn.apache.org//spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz
Failed to download spark-3.0.1 for Hadoop hadoop3.2 from https://dlcdn.apache.org//spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz:
Downloading spark-3.0.1 for Hadoop hadoop3.2 from:
- https://archive.apache.org/dist/spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz
Failed to download spark-3.0.1 for Hadoop hadoop3.2 from https://archive.apache.org/dist/spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz:
Downloading spark-3.0.1 for Hadoop hadoop3.2 from:
- https://dist.apache.org/repos/dist/release/spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz
Failed to download spark-3.0.1 for Hadoop hadoop3.2 from https://dist.apache.org/repos/dist/release/spark/spark-3.0.1/spark-3.0.1-bin-hadoop3.2.tgz:
ok
```

**AFTER**
```
test_install_spark (pyspark.tests.test_install_spark.SparkInstallationTestCase) ... Trying to download Spark spark-3.4.4 from [https://dlcdn.apache.org/, https://archive.apache.org/dist, https://dist.apache.org/repos/dist/release]
Downloading spark-3.4.4 for Hadoop hadoop3 from:
- https://dlcdn.apache.org//spark/spark-3.4.4/spark-3.4.4-bin-hadoop3.tgz
Downloaded 1048576 of 388988563 bytes (0.27%)
...
```

Since Spark 3.4.4 is the EOL version, it will be in `download.apache.org` until Apache Spark 4.0.0 release.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48733 from dongjoon-hyun/SPARK-50199.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit fcfbf8e660db0396096e4534d59595efdf358058)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 python/pyspark/tests/test_install_spark.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyspark/tests/test_install_spark.py b/python/pyspark/tests/test_install_spark.py
index e980a17673f8d..d39e20b055410 100644
--- a/python/pyspark/tests/test_install_spark.py
+++ b/python/pyspark/tests/test_install_spark.py
@@ -32,7 +32,7 @@ class SparkInstallationTestCase(unittest.TestCase):
     def test_install_spark(self):
         # Test only one case. Testing this is expensive because it needs to download
         # the Spark distribution.
-        spark_version, hadoop_version, hive_version = checked_versions("3.0.1", "3", "2.3")
+        spark_version, hadoop_version, hive_version = checked_versions("3.4.4", "3", "2.3")
 
         with tempfile.TemporaryDirectory() as tmp_dir:
             install_spark(

From 08023c08800da9700a4491cb7e979b4287dbfb46 Mon Sep 17 00:00:00 2001
From: Changgyoo Park <changgyoo.park@databricks.com>
Date: Mon, 4 Nov 2024 10:17:39 -0800
Subject: [PATCH 901/986] [SPARK-50176][CONNECT][FOLLOWUP][3.5] Fix
 ReattachableExecuteSuite failure

### What changes were proposed in this pull request?

https://github.com/apache/spark/pull/48725 closes a session completely during ReattachableExecuteSuite causing 'sleep' to be unavailable in subsequent test cases.

https://github.com/apache/spark/pull/43546 fixes the issue by re-creating the 'sleep' udf in each test case needing the udf, and this PR back-ports part of it.

### Why are the changes needed?

In order to make the test green again.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48745 from changgyoopark-db/SPARK-50176-3.5.

Authored-by: Changgyoo Park <changgyoo.park@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../connect/service/SparkConnectReattachExecuteHandler.scala  | 4 +++-
 .../org/apache/spark/sql/connect/SparkConnectServerTest.scala | 4 ----
 .../sql/connect/execution/ReattachableExecuteSuite.scala      | 4 ++++
 3 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
index deb29e49367a5..b8363c15e6ba2 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectReattachExecuteHandler.scala
@@ -30,8 +30,10 @@ class SparkConnectReattachExecuteHandler(
 
   def handle(v: proto.ReattachExecuteRequest): Unit = {
     // An exception will be raised if the session is not available.
-    val _sessionHolder =
+    val sessionHolder =
       SparkConnectService.getIsolatedSession(v.getUserContext.getUserId, v.getSessionId)
+    assert(sessionHolder != null)
+
     val executeHolder = SparkConnectService.executionManager
       .getExecuteHolder(ExecuteKey(v.getUserContext.getUserId, v.getSessionId, v.getOperationId))
       .getOrElse {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
index eddd1c6be72b1..234ee526d438a 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/SparkConnectServerTest.scala
@@ -52,10 +52,6 @@ trait SparkConnectServerTest extends SharedSparkSession {
     withSparkEnvConfs((Connect.CONNECT_GRPC_BINDING_PORT.key, serverPort.toString)) {
       SparkConnectService.start(spark.sparkContext)
     }
-    // register udf directly on the server, we're not testing client UDFs here...
-    val serverSession =
-      SparkConnectService.getOrCreateIsolatedSession(defaultUserId, defaultSessionId).session
-    serverSession.udf.register("sleep", ((ms: Int) => { Thread.sleep(ms); ms }))
   }
 
   override def afterAll(): Unit = {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
index 28c1a8e4e109f..f828e45e6a6c8 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -367,6 +367,10 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
   }
 
   test("long sleeping query") {
+    // register udf directly on the server, we're not testing client UDFs here...
+    val serverSession =
+      SparkConnectService.getOrCreateIsolatedSession(defaultUserId, defaultSessionId).session
+    serverSession.udf.register("sleep", ((ms: Int) => { Thread.sleep(ms); ms }))
     // query will be sleeping and not returning results, while having multiple reattach
     withSparkEnvConfs(
       (Connect.CONNECT_EXECUTE_REATTACHABLE_SENDER_MAX_STREAM_DURATION.key, "1s")) {

From 1ddf4a9f33937f3cabcdb352837bb42dcaf94250 Mon Sep 17 00:00:00 2001
From: "d.vorst" <87502756+dvorst@users.noreply.github.com>
Date: Mon, 4 Nov 2024 13:44:17 -0800
Subject: [PATCH 902/986] [MINOR][DOCS][3.5] Fix specified java versions in
 `install.rst`

### What changes were proposed in this pull request?

Documentation change: the JAVA versions mentioned on the getting_started page of PySpark 3.5 are corrected (https://spark.apache.org/docs/3.5.3/api/python/getting_started/install.html#dependencies).

### Why are the changes needed?

The original description "PySpark requires Java 8 or later" is incorrect since 3.5 does not support java prior to 8u371 anymore and the latest supported version is 17, the downloading page (https://spark.apache.org/docs/3.5.3/#downloading) however, does correctly state this. I thus corrected the mentioned java versions.

### Does this PR introduce _any_ user-facing change?

Yes
documentation fix

### How was this patch tested?

Manually

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #48411 from dvorst/branch-3.5.

Authored-by: d.vorst <87502756+dvorst@users.noreply.github.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 python/docs/source/getting_started/install.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/docs/source/getting_started/install.rst b/python/docs/source/getting_started/install.rst
index e97632a8b384b..287e65400861b 100644
--- a/python/docs/source/getting_started/install.rst
+++ b/python/docs/source/getting_started/install.rst
@@ -164,7 +164,7 @@ Package                    Supported version Note
 `googleapis-common-protos` ==1.56.4                  Required for Spark Connect
 ========================== ========================= ======================================================================================
 
-Note that PySpark requires Java 8 or later with ``JAVA_HOME`` properly set.  
+Note that PySpark requires Java 8 (except prior to 8u371), 11 or 17 with ``JAVA_HOME`` properly set.
 If using JDK 11, set ``-Dio.netty.tryReflectionSetAccessible=true`` for Arrow related features and refer
 to |downloading|_.
 

From 9b172deebc2ff99de7401871392eba5cc61b1822 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 4 Nov 2024 01:19:51 +0800
Subject: [PATCH 903/986] [SPARK-50210][CORE] Fix `SparkSubmit` to show REST
 API `kill` response properly

### What changes were proposed in this pull request?

This PR aims to fix `SparkSubmit` to show `REST API` `kill` response properly.

### Why are the changes needed?

**PREPARE SPARK CLUSTER**
```
$ SPARK_MASTER_OPTS='-Dspark.master.rest.enabled=true' sbin/start-master.sh
$ sbin/start-worker.sh spark://$(hostname):7077
```

**BEFORE (4.0.0-preview2)**
`spark-submit` didn't show error messages properly.
```
$ bin/spark-submit --master spark://$(hostname):6066 --kill invalid-submission-id
```

**AFTER**
```
$ bin/spark-submit --master spark://$(hostname):6066 --kill invalid-submission-id
Error: Driver invalid-submission-id has already finished or does not exist
```

```
$ sh examples/src/main/scripts/submit-pi.sh
{
  "action" : "CreateSubmissionResponse",
  "message" : "Driver successfully submitted as driver-20241102232042-0000",
  "serverSparkVersion" : "4.0.0-SNAPSHOT",
  "submissionId" : "driver-20241102232042-0000",
  "success" : true
}%

$ bin/spark-submit --master spark://$(hostname):6066 --kill driver-20241102232042-0000
driver-20241102232042-0000 is killed successfully.
```

### Does this PR introduce _any_ user-facing change?

Yes, but this logs show additional log messages.

### How was this patch tested?

Manual tests because this requires a Spark Standalone Cluster and the difference is only a log of `spark-submit`.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48742 from dongjoon-hyun/SPARK-50210.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 9cf98ed41b2de1b44c44f0b4d1273d46761459fe)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../main/scala/org/apache/spark/deploy/SparkSubmit.scala   | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index 0f0d8b6c07c0a..43c95bed5c685 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -104,8 +104,13 @@ private[spark] class SparkSubmit extends Logging {
    */
   private def kill(args: SparkSubmitArguments): Unit = {
     if (RestSubmissionClient.supportsRestClient(args.master)) {
-      new RestSubmissionClient(args.master)
+      val response = new RestSubmissionClient(args.master)
         .killSubmission(args.submissionToKill)
+      if (response.success) {
+        logInfo(s"${args.submissionToKill} is killed successfully.")
+      } else {
+        logError(response.message)
+      }
     } else {
       val sparkConf = args.toSparkConf()
       sparkConf.set("spark.master", args.master)

From acccf53b579348f84d342eb26bc083b21ca25a3d Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Tue, 5 Nov 2024 14:13:53 +0800
Subject: [PATCH 904/986] [SPARK-50212][BUILD][3.5] Fix the conditional check
 for executing the `build` task in `build_and_test.yml`

### What changes were proposed in this pull request?
Comparing https://github.com/apache/spark/blob/c53dac05058c48ae1edad7912e8cc82533839ca0/.github/workflows/build_and_test.yml#L102 and https://github.com/apache/spark/blob/9d472661daad4703628e9fbf0ba9922abeed7354/.github/workflows/build_and_test.yml#L97, the master branch uses `dev/is-changed.py` to check for changes in additional modules: `variant`, `api`, `streaming-kinesis-asl`, `protobuf`, and `connect`. Among these, the `api`, `protobuf`, and `connect` modules also exist in the `branch-3.5` and should be checked as well.

Therefore, this pr includes the following changes:

1. Adds `is-changed` checks for the `api`, `protobuf`, and `connect` modules.
2. In `dev/sparktestsupport/modules.py`, adds the definition for the `api` module, aligning with the master branch.
3. In `dev/sparktestsupport/modules.py`, adds the definition for the `utils` module, aligning with the master branch. Prior to this PR, although `dev/is-changed.py` was used to check for changes in the `utils` module, its definition was missing from `dev/sparktestsupport/modules.py`.

### Why are the changes needed?
Fix the conditional check for executing the `build` task in `build_and_test.yml`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions

- Manually verified the effectiveness of this pull request:

Before:

Set the latest commit by executing `export APACHE_SPARK_REF=9d472661daad4703628e9fbf0ba9922abeed7354`. Then manually edit files in the `api`, `protobuf`, or `connect` modules and commit them. Run the following command:

```
./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive,connect,protobuf,api"
```

The console will print `false`.

After:

Set the latest commit by executing `export APACHE_SPARK_REF=41446b3d98cfccf5c6f6ddb8bc3c7c6c1b1c3f54`. Then manually edit files in the `api`, `protobuf`, or `connect` modules and commit them. Run the same command as before:

```
./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive,connect,protobuf,api"
```

The console will now print `true`.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #48744 from LuciferYang/is-change-3.5.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .github/workflows/build_and_test.yml |  2 +-
 dev/sparktestsupport/modules.py      | 24 ++++++++++++++++++++----
 2 files changed, 21 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index b016a29a86be1..7ec8f94a62925 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -94,7 +94,7 @@ jobs:
             tpcds=false
             docker=false
           fi
-          build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive"`
+          build=`./dev/is-changed.py -m "core,unsafe,kvstore,avro,utils,network-common,network-shuffle,repl,launcher,examples,sketch,graphx,catalyst,hive-thriftserver,streaming,sql-kafka-0-10,streaming-kafka-0-10,mllib-local,mllib,yarn,mesos,kubernetes,hadoop-cloud,spark-ganglia-lgpl,sql,hive,connect,protobuf,api"`
           precondition="
             {
               \"build\": \"$build\",
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index d29fc8726018d..5df59476007a0 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -113,6 +113,14 @@ def __hash__(self):
     ],
 )
 
+utils = Module(
+    name="utils",
+    dependencies=[tags],
+    source_file_regexes=[
+        "common/utils/",
+    ],
+)
+
 kvstore = Module(
     name="kvstore",
     dependencies=[tags],
@@ -126,7 +134,7 @@ def __hash__(self):
 
 network_common = Module(
     name="network-common",
-    dependencies=[tags],
+    dependencies=[tags, utils],
     source_file_regexes=[
         "common/network-common/",
     ],
@@ -148,7 +156,7 @@ def __hash__(self):
 
 unsafe = Module(
     name="unsafe",
-    dependencies=[tags],
+    dependencies=[tags, utils],
     source_file_regexes=[
         "common/unsafe",
     ],
@@ -179,7 +187,7 @@ def __hash__(self):
 
 core = Module(
     name="core",
-    dependencies=[kvstore, network_common, network_shuffle, unsafe, launcher],
+    dependencies=[kvstore, network_common, network_shuffle, unsafe, launcher, utils],
     source_file_regexes=[
         "core/",
     ],
@@ -188,9 +196,17 @@ def __hash__(self):
     ],
 )
 
+api = Module(
+    name="api",
+    dependencies=[utils, unsafe],
+    source_file_regexes=[
+        "sql/api/",
+    ],
+)
+
 catalyst = Module(
     name="catalyst",
-    dependencies=[tags, sketch, core],
+    dependencies=[tags, sketch, core, api],
     source_file_regexes=[
         "sql/catalyst/",
     ],

From d39f5ab99f67ce959b4379ecc3d6e262c10146cf Mon Sep 17 00:00:00 2001
From: Liang-Chi Hsieh <viirya@gmail.com>
Date: Wed, 6 Nov 2024 17:12:11 +0800
Subject: [PATCH 905/986] [SPARK-50235][SQL] Clean up ColumnVector resource
 after processing all rows in ColumnarToRowExec

### What changes were proposed in this pull request?

This patch cleans up ColumnVector resource after processing all rows in ColumnarToRowExec. This patch only focus on codeben implementation of ColumnarToRowExec. For non-codegen, it should be relatively rare to use, and currently no good way has proposed, so leaving it to a follow up.

### Why are the changes needed?

Currently we only assign null to ColumnarBatch object but it doesn't release the resources hold by the vectors in the batch. For OnHeapColumnVector, the Java arrays may be automatically collected by JVM, but for OffHeapColumnVector, the allocated off-heap memory will be leaked.

For custom ColumnVector implementations like Arrow-based, it also possibly causes issues on memory safety if the underlying buffers are reused across batches. Because when ColumnarToRowExec begins to fill values for next batch, the arrays in previous batch are still hold.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #48767 from viirya/close_if_not_writable.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 800faf0abfa368ad0a5ef1e0fa44b74dbaab724e)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../apache/spark/sql/vectorized/ColumnVector.java    | 12 ++++++++++++
 .../apache/spark/sql/vectorized/ColumnarBatch.java   | 10 ++++++++++
 .../execution/vectorized/WritableColumnVector.java   |  5 +++++
 .../org/apache/spark/sql/execution/Columnar.scala    |  5 +++++
 4 files changed, 32 insertions(+)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
index a3c58ae025477..7dc2d38144296 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
@@ -67,6 +67,18 @@ public abstract class ColumnVector implements AutoCloseable {
   @Override
   public abstract void close();
 
+  /**
+   * Cleans up memory for this column vector if it's not writable. The column vector is not usable
+   * after this.
+   *
+   * If this is a writable column vector, it is a no-op.
+   */
+  public void closeIfNotWritable() {
+    // By default, we just call close() for all column vectors. If a column vector is writable, it
+    // should override this method and do nothing.
+    close();
+  }
+
   /**
    * Returns true if this column vector contains any null values.
    */
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
index 9e859e77644ac..52e4115af336a 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
@@ -45,6 +45,16 @@ public void close() {
     }
   }
 
+  /**
+   * Called to close all the columns if they are not writable. This is used to clean up memory
+   * allocated during columnar processing.
+   */
+  public void closeIfNotWritable() {
+    for (ColumnVector c: columns) {
+      c.closeIfNotWritable();
+    }
+  }
+
   /**
    * Returns an iterator over the rows in this batch.
    */
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
index a8e4aad60c222..0fde85fd454c1 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
@@ -87,6 +87,11 @@ public void close() {
     dictionary = null;
   }
 
+  @Override
+  public void closeIfNotWritable() {
+    // no-op
+  }
+
   public void reserveAdditional(int additionalCapacity) {
     reserve(elementsAppended + additionalCapacity);
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
index 3fec13a7f9ba9..ea559efc45f13 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
@@ -194,9 +194,14 @@ case class ColumnarToRowExec(child: SparkPlan) extends ColumnarToRowTransition w
        |    $shouldStop
        |  }
        |  $idx = $numRows;
+       |  $batch.closeIfNotWritable();
        |  $batch = null;
        |  $nextBatchFuncName();
        |}
+       |// clean up resources
+       |if ($batch != null) {
+       |  $batch.close();
+       |}
      """.stripMargin
   }
 

From 8da69877717bd3a9a9aa5d3332ecdd571bb8522a Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 13 Nov 2024 14:57:53 -0800
Subject: [PATCH 906/986] [SPARK-50300][BUILD] Use mirror host instead of
 `archive.apache.org`

### What changes were proposed in this pull request?

This PR aims to use `mirror host` instead of `archive.apache.org`.

### Why are the changes needed?

Currently, Apache Spark CI is flaky due to the checksum download failure like the following. It took over 9 minutes and failed eventually.

- https://github.com/apache/spark/actions/runs/11818847971/job/32927380452
- https://github.com/apache/spark/actions/runs/11818847971/job/32927382179
```
exec: curl --retry 3 --silent --show-error -L https://www.apache.org/dyn/closer.lua/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz?action=download
exec: curl --retry 3 --silent --show-error -L https://archive.apache.org/dist/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz.sha512
curl: (28) Failed to connect to archive.apache.org port 443 after 135199 ms: Connection timed out
curl: (28) Failed to connect to archive.apache.org port 443 after 134166 ms: Connection timed out
curl: (28) Failed to connect to archive.apache.org port 443 after 135213 ms: Connection timed out
curl: (28) Failed to connect to archive.apache.org port 443 after 135260 ms: Connection timed out
Verifying checksum from /home/runner/work/spark/spark/build/apache-maven-3.9.9-bin.tar.gz.sha512
shasum: /home/runner/work/spark/spark/build/apache-maven-3.9.9-bin.tar.gz.sha512: no properly formatted SHA checksum lines found
Bad checksum from https://archive.apache.org/dist/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz.sha512
Error: Process completed with exit code 2.
```

**BEFORE**
```
$ build/mvn clean
exec: curl --retry 3 --silent --show-error -L https://www.apache.org/dyn/closer.lua/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz?action=download
exec: curl --retry 3 --silent --show-error -L https://archive.apache.org/dist/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz.sha512
```

**AFTER**
```
$ build/mvn clean
exec: curl --retry 3 --silent --show-error -L https://www.apache.org/dyn/closer.lua/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz?action=download
exec: curl --retry 3 --silent --show-error -L https://www.apache.org/dyn/closer.lua/maven/maven-3/3.9.9/binaries/apache-maven-3.9.9-bin.tar.gz.sha512?action=download
```

### Does this PR introduce _any_ user-facing change?

No, this is a dev-only change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48836 from dongjoon-hyun/SPARK-50300.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5cc60f46708844c812ee0f21bee4f4b4b70c6d92)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 build/mvn | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build/mvn b/build/mvn
index 3179099304c7a..2c778fd6c71a7 100755
--- a/build/mvn
+++ b/build/mvn
@@ -56,7 +56,7 @@ install_app() {
   local binary="${_DIR}/$6"
   local remote_tarball="${mirror_host}/${url_path}${url_query}"
   local local_checksum="${local_tarball}.${checksum_suffix}"
-  local remote_checksum="https://archive.apache.org/dist/${url_path}.${checksum_suffix}"
+  local remote_checksum="${mirror_host}/${url_path}.${checksum_suffix}${url_query}"
 
   local curl_opts="--silent --show-error -L"
   local wget_opts="--no-verbose"

From 8502a2234a972dad277d179a2a90bfad3e081ea8 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 14 Nov 2024 09:01:19 +0900
Subject: [PATCH 907/986] [SPARK-50304][INFRA] Remove `(any|empty).proto` from
 RAT exclusion

### What changes were proposed in this pull request?

This PR aims to remove `(any|empty).proto` from RAT exclusion.

### Why are the changes needed?

`(any|empty).proto` files were never a part of Apache Spark repository. Those files were only used in the initial `Connect` PR and removed before merging.
- #37710
  - Added: https://github.com/apache/spark/pull/37710/commits/45c7bc55498f38081818424d231ec12576a0dc54
  - Excluded from RAT check: https://github.com/apache/spark/pull/37710/commits/cf6b19a991c9bf8c0f208bb2de39dd7121b146a2
  - Removed: https://github.com/apache/spark/pull/37710/commits/497198051af069f9afa70c9435dd5d7a099f11f1

### Does this PR introduce _any_ user-facing change?

No. This is a dev-only change.

### How was this patch tested?

Pass the CIs or manual check.

```
$ ./dev/check-license
Ignored 0 lines in your exclusion files as comments or empty lines.
RAT checks passed.
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48837 from dongjoon-hyun/SPARK-50304.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 33378a6f86e001b20236c7ccd1cebf0acbb54f3e)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/.rat-excludes | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/dev/.rat-excludes b/dev/.rat-excludes
index 6bf840cee2831..845e66f197489 100644
--- a/dev/.rat-excludes
+++ b/dev/.rat-excludes
@@ -138,9 +138,6 @@ ansible-for-test-node/*
 node_modules
 spark-events-broken/*
 SqlBaseLexer.tokens
-# Spark Connect related files with custom licence
-any.proto
-empty.proto
 .*\.explain
 .*\.proto.bin
 LimitedInputStream.java

From e0bdfee9b8e7ea88af8ed1d056b8d9865ab44908 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 14 Nov 2024 14:16:51 -0800
Subject: [PATCH 908/986] [SPARK-50316][BUILD][3.5] Upgrade ORC to 1.9.5

### What changes were proposed in this pull request?

This PR aims to upgrade ORC to 1.9.5 for Apache Spark 3.5.4.

### Why are the changes needed?

To bring the latest bug fix:
- https://orc.apache.org/news/2024/11/14/ORC-1.9.5/
  - https://github.com/apache/orc/pull/1960

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48845 from dongjoon-hyun/SPARK-50316.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/deps/spark-deps-hadoop-3-hive-2.3 | 6 +++---
 pom.xml                               | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 62e001b8fd53a..06e6aa199021f 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -212,9 +212,9 @@ opencsv/2.3//opencsv-2.3.jar
 opentracing-api/0.33.0//opentracing-api-0.33.0.jar
 opentracing-noop/0.33.0//opentracing-noop-0.33.0.jar
 opentracing-util/0.33.0//opentracing-util-0.33.0.jar
-orc-core/1.9.4/shaded-protobuf/orc-core-1.9.4-shaded-protobuf.jar
-orc-mapreduce/1.9.4/shaded-protobuf/orc-mapreduce-1.9.4-shaded-protobuf.jar
-orc-shims/1.9.4//orc-shims-1.9.4.jar
+orc-core/1.9.5/shaded-protobuf/orc-core-1.9.5-shaded-protobuf.jar
+orc-mapreduce/1.9.5/shaded-protobuf/orc-mapreduce-1.9.5-shaded-protobuf.jar
+orc-shims/1.9.5//orc-shims-1.9.5.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
diff --git a/pom.xml b/pom.xml
index 8a1bfd7ee6b0e..6497056fa2e48 100644
--- a/pom.xml
+++ b/pom.xml
@@ -141,7 +141,7 @@
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
     <parquet.version>1.13.1</parquet.version>
-    <orc.version>1.9.4</orc.version>
+    <orc.version>1.9.5</orc.version>
     <orc.classifier>shaded-protobuf</orc.classifier>
     <jetty.version>9.4.56.v20240826</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

From 242d33399658b5eb10c012bc33ab676ff0b32ded Mon Sep 17 00:00:00 2001
From: cuiyanxiang <kaer@startdt.com>
Date: Fri, 15 Nov 2024 14:41:49 +0800
Subject: [PATCH 909/986] [SPARK-50312][SQL] SparkThriftServer createServer
 parameter passing error when kerberos is true

### What changes were proposed in this pull request?

When kerberos is enabled and SparkThriftServer is started, the service delivery parameters keytab and principal are created when hadoop authentication errors occur

`saslServer = ShimLoader.getHadoopThriftAuthBridge().createServer(principal, keytab);`

`public Server createServer(String keytabFile, String principalConf) throws TTransportException {
     return new Server(keytabFile, principalConf);
 }`

### Why are the changes needed?

Failed to start SparkThriftServer when kerberos is true

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

verified

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #48855 from CuiYanxiang/SPARK-50312.

Authored-by: cuiyanxiang <kaer@startdt.com>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 3237885000e9126f261013ed3550bad394727466)
Signed-off-by: Kent Yao <yao@apache.org>
---
 .../main/java/org/apache/hive/service/auth/HiveAuthFactory.java | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
index e3316cef241c3..ba8210a267701 100644
--- a/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
+++ b/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
@@ -117,7 +117,7 @@ public HiveAuthFactory(HiveConf conf) throws TTransportException, IOException {
         String keytab = conf.getVar(ConfVars.HIVE_SERVER2_KERBEROS_KEYTAB);
         if (needUgiLogin(UserGroupInformation.getCurrentUser(),
           SecurityUtil.getServerPrincipal(principal, "0.0.0.0"), keytab)) {
-          saslServer = ShimLoader.getHadoopThriftAuthBridge().createServer(principal, keytab);
+          saslServer = ShimLoader.getHadoopThriftAuthBridge().createServer(keytab, principal);
         } else {
           // Using the default constructor to avoid unnecessary UGI login.
           saslServer = new HadoopThriftAuthBridge.Server();

From 08b195c6faa0eea63d96bd781ac2e9ba34998e4f Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 20 Nov 2024 11:41:52 +0800
Subject: [PATCH 910/986] [MINOR][DOCS] Fix a HTML/Markdown syntax error in
 sql-migration-guide.md

### What changes were proposed in this pull request?
This PR fixes the below HTML/Markdown syntax error in sql-migration-guide.md

![image](https://github.com/user-attachments/assets/bb62a240-1ee5-4763-92c2-97fdd5436284)

### Why are the changes needed?
docfix

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?

![image](https://github.com/user-attachments/assets/95b83aa0-beb1-418c-be08-02310010f4d8)

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #48899 from yaooqinn/minor.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit b582daca568f7098c7b8fe4e3068e5986acdc18b)
Signed-off-by: Kent Yao <yao@apache.org>
---
 docs/sql-migration-guide.md | 239 ++++++++++++++++--------------------
 1 file changed, 104 insertions(+), 135 deletions(-)

diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 964f7de637e8b..0f3adbdafeaf9 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -595,142 +595,111 @@ license: |
   - Since Spark 2.3, the Join/Filter's deterministic predicates that are after the first non-deterministic predicates are also pushed down/through the child operators, if possible. In prior Spark versions, these filters are not eligible for predicate pushdown.
 
   - Partition column inference previously found incorrect common type for different inferred types, for example, previously it ended up with double type as the common type for double type and date type. Now it finds the correct common type for such conflicts. The conflict resolution follows the table below:
+
     <table>
-    <thead>
-      <tr>
-        <th>
-          <b>InputA \ InputB</b>
-        </th>
-        <th>
-          <b>NullType</b>
-        </th>
-        <th>
-          <b>IntegerType</b>
-        </th>
-        <th>
-          <b>LongType</b>
-        </th>
-        <th>
-          <b>DecimalType(38,0)*</b>
-        </th>
-        <th>
-          <b>DoubleType</b>
-        </th>
-        <th>
-          <b>DateType</b>
-        </th>
-        <th>
-          <b>TimestampType</b>
-        </th>
-        <th>
-          <b>StringType</b>
-        </th>
-      </tr>
-   </thead>
-      <tr>
-        <td>
-          <b>NullType</b>
-        </td>
-        <td>NullType</td>
-        <td>IntegerType</td>
-        <td>LongType</td>
-        <td>DecimalType(38,0)</td>
-        <td>DoubleType</td>
-        <td>DateType</td>
-        <td>TimestampType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>IntegerType</b>
-        </td>
-        <td>IntegerType</td>
-        <td>IntegerType</td>
-        <td>LongType</td>
-        <td>DecimalType(38,0)</td>
-        <td>DoubleType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>LongType</b>
-        </td>
-        <td>LongType</td>
-        <td>LongType</td>
-        <td>LongType</td>
-        <td>DecimalType(38,0)</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>DecimalType(38,0)*</b>
-        </td>
-        <td>DecimalType(38,0)</td>
-        <td>DecimalType(38,0)</td>
-        <td>DecimalType(38,0)</td>
-        <td>DecimalType(38,0)</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>DoubleType</b>
-        </td>
-        <td>DoubleType</td>
-        <td>DoubleType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>DoubleType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>DateType</b>
-        </td>
-        <td>DateType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>DateType</td>
-        <td>TimestampType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>TimestampType</b>
-        </td>
-        <td>TimestampType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>TimestampType</td>
-        <td>TimestampType</td>
-        <td>StringType</td>
-      </tr>
-      <tr>
-        <td>
-          <b>StringType</b>
-        </td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-        <td>StringType</td>
-      </tr>
+      <thead>
+        <tr>
+          <th><b>InputA \ InputB</b></th>
+          <th><b>NullType</b></th>
+          <th><b>IntegerType</b></th>
+          <th><b>LongType</b></th>
+          <th><b>DecimalType(38,0)*</b></th>
+          <th><b>DoubleType</b></th>
+          <th><b>DateType</b></th>
+          <th><b>TimestampType</b></th>
+          <th><b>StringType</b></th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <td><b>NullType</b></td>
+          <td>NullType</td>
+          <td>IntegerType</td>
+          <td>LongType</td>
+          <td>DecimalType(38,0)</td>
+          <td>DoubleType</td>
+          <td>DateType</td>
+          <td>TimestampType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>IntegerType</b></td>
+          <td>IntegerType</td>
+          <td>IntegerType</td>
+          <td>LongType</td>
+          <td>DecimalType(38,0)</td>
+          <td>DoubleType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>LongType</b></td>
+          <td>LongType</td>
+          <td>LongType</td>
+          <td>LongType</td>
+          <td>DecimalType(38,0)</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+         </tr>
+        <tr>
+          <td><b>DecimalType(38,0)*</b></td>
+          <td>DecimalType(38,0)</td>
+          <td>DecimalType(38,0)</td>
+          <td>DecimalType(38,0)</td>
+          <td>DecimalType(38,0)</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>DoubleType</b></td>
+          <td>DoubleType</td>
+          <td>DoubleType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>DoubleType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>DateType</b></td>
+          <td>DateType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>DateType</td>
+          <td>TimestampType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>TimestampType</b></td>
+          <td>TimestampType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>TimestampType</td>
+          <td>TimestampType</td>
+          <td>StringType</td>
+        </tr>
+        <tr>
+          <td><b>StringType</b></td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+          <td>StringType</td>
+        </tr> 
+      </tbody>
     </table>
 
     Note that, for <b>DecimalType(38,0)*</b>, the table above intentionally does not cover all other combinations of scales and precisions because currently we only infer decimal type like `BigInteger`/`BigInt`. For example, 1.1 is inferred as double type.

From df9b9def5528a1b653ab6764347c3a8115c59eed Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Wed, 20 Nov 2024 21:03:14 +0800
Subject: [PATCH 911/986] [SPARK-50258][SQL] Fix output column order changed
 issue after AQE optimization

The root cause of this issue is the planner turns `Limit` + `Sort` into `TakeOrderedAndProjectExec` which adds an additional `Project` that does not exist in the logical plan. We shouldn't use this additional `Project` to optimize out other `Project`s, otherwise when AQE turns physical plan back to logical plan, we lose the `Project` and may mess up the output column order.

This PR makes it does not remove redundant projects if AEQ is enabled and projectList is the same as child output in `TakeOrderedAndProjectExec`.

Fix potential data issue and avoid Spark Driver crash:
```
...
```

No.

Unit test.

No.

Closes #48789 from wangyum/SPARK-50258.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 6ee53da5f356232e2026a67c8408de38c625038e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../execution/RemoveRedundantProjects.scala   |  8 ++++++-
 .../adaptive/AdaptiveQueryExecSuite.scala     | 23 ++++++++++++++++++-
 2 files changed, 29 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/RemoveRedundantProjects.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/RemoveRedundantProjects.scala
index 8f4ce0f49a89a..69230fd7b3343 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/RemoveRedundantProjects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/RemoveRedundantProjects.scala
@@ -58,7 +58,13 @@ object RemoveRedundantProjects extends Rule[SparkPlan] {
           p.mapChildren(removeProject(_, false))
         }
       case op: TakeOrderedAndProjectExec =>
-        op.mapChildren(removeProject(_, false))
+        // The planner turns Limit + Sort into TakeOrderedAndProjectExec which adds an additional
+        // Project that does not exist in the logical plan. We shouldn't use this additional Project
+        // to optimize out other Projects, otherwise when AQE turns physical plan back to
+        // logical plan, we lose the Project and may mess up the output column order. So column
+        // ordering is required if AQE is enabled and projectList is the same as child output.
+        val requireColOrdering = conf.adaptiveExecutionEnabled && op.projectList == op.child.output
+        op.mapChildren(removeProject(_, requireColOrdering))
       case a: BaseAggregateExec =>
         // BaseAggregateExec require specific column ordering when mode is Final or PartialMerge.
         // See comments in BaseAggregateExec inputAttributes method.
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index f6b96ee7e1ebd..2f8e401e743bb 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -30,7 +30,7 @@ import org.apache.spark.shuffle.sort.SortShuffleManager
 import org.apache.spark.sql.{Dataset, QueryTest, Row, SparkSession, Strategy}
 import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
-import org.apache.spark.sql.execution.{CollectLimitExec, ColumnarToRowExec, LocalTableScanExec, PartialReducerPartitionSpec, QueryExecution, ReusedSubqueryExec, ShuffledRowRDD, SortExec, SparkPlan, SparkPlanInfo, UnionExec}
+import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
 import org.apache.spark.sql.execution.columnar.{InMemoryTableScanExec, InMemoryTableScanLike}
 import org.apache.spark.sql.execution.command.DataWritingCommandExec
@@ -40,6 +40,7 @@ import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ENSURE_RE
 import org.apache.spark.sql.execution.joins.{BaseJoinExec, BroadcastHashJoinExec, BroadcastNestedLoopJoinExec, ShuffledHashJoinExec, ShuffledJoin, SortMergeJoinExec}
 import org.apache.spark.sql.execution.metric.SQLShuffleReadMetricsReporter
 import org.apache.spark.sql.execution.ui.{SparkListenerSQLAdaptiveExecutionUpdate, SparkListenerSQLAdaptiveSQLMetricUpdates, SparkListenerSQLExecutionStart}
+import org.apache.spark.sql.execution.window.WindowExec
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.SQLConf.PartitionOverwriteMode
@@ -2965,6 +2966,26 @@ class AdaptiveQueryExecSuite
       }
     }
   }
+
+  test("SPARK-50258: Fix output column order changed issue after AQE optimization") {
+    withTable("t") {
+      sql("SELECT course, year, earnings FROM courseSales").write.saveAsTable("t")
+      val df = sql(
+        """
+          |SELECT year, course, earnings, SUM(earnings) OVER (ORDER BY year, course) AS balance
+          |FROM t ORDER BY year, course
+          |LIMIT 100
+          |""".stripMargin)
+      df.collect()
+
+      val plan = df.queryExecution.executedPlan.asInstanceOf[AdaptiveSparkPlanExec]
+      assert(plan.inputPlan.isInstanceOf[TakeOrderedAndProjectExec])
+      assert(plan.finalPhysicalPlan.isInstanceOf[WindowExec])
+      plan.inputPlan.output.zip(plan.finalPhysicalPlan.output).foreach { case (o1, o2) =>
+        assert(o1.semanticEquals(o2), "Different output column order after AQE optimization")
+      }
+    }
+  }
 }
 
 /**

From 5ff129ac8261c674b90545f3e1651e166dbc6249 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Wed, 27 Nov 2024 14:22:01 +0900
Subject: [PATCH 912/986] [SPARK-50430][CORE] Use the standard Properties.clone
 instead of manual clone

### What changes were proposed in this pull request?

This PR proposes to use the standard Properties.clone instead of manual clone

### Why are the changes needed?

In a very rare condition, when the properties were changed during the clone of Properties, it might throw an exception as below:

```
: java.util.ConcurrentModificationException
	at java.util.Hashtable$Enumerator.next(Hashtable.java:1408)
	at java.util.Hashtable.putAll(Hashtable.java:523)
	at org.apache.spark.util.Utils$.cloneProperties(Utils.scala:3474)
	at org.apache.spark.SparkContext.getCredentialResolvedProperties(SparkContext.scala:523)
	at org.apache.spark.SparkContext.runJobInternal(SparkContext.scala:3157)
	at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1104)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:454)
	at org.apache.spark.rdd.RDD.collect(RDD.scala:1102)
	at org.apache.spark.mllib.evaluation.AreaUnderCurve$.of(AreaUnderCurve.scala:44)
	at org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.areaUnderROC(BinaryClassificationMetrics.scala:127)
	at org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.evaluate(BinaryClassificationEvaluator.scala:101)
	at sun.reflect.GeneratedMethodAccessor323.invoke(Unknown Source)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
	at py4j.Gateway.invoke(Gateway.java:306)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:199)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:119)
	at java.lang.Thread.run(Thread.java:750)
```

We should use the standard clone method.

### Does this PR introduce _any_ user-facing change?

It fixes a very corner case bug as described above.

### How was this patch tested?

It's difficult to test because the issue is from concurrent execution.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48978 from HyukjinKwon/SPARK-50430.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 7614819884ca192fab45ee2ace8a8e081ec8becc)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 3b0efffedec6f..8762f0a6cdbc3 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2982,9 +2982,7 @@ private[spark] object Utils
     if (props == null) {
       return props
     }
-    val resultProps = new Properties()
-    props.forEach((k, v) => resultProps.put(k, v))
-    resultProps
+    props.clone().asInstanceOf[Properties]
   }
 
   /**

From 5e51e2c4541077eb15898dadecf0fb0d1a5e961a Mon Sep 17 00:00:00 2001
From: xunxunmimi5577 <52647492+xunxunmimi5577@users.noreply.github.com>
Date: Mon, 2 Dec 2024 16:38:14 +0800
Subject: [PATCH 913/986] [SPARK-49294][UI] Add width attribute for
 shuffle-write-time checkbox

### What changes were proposed in this pull request?
The pr aims to add the style for `shuffle-write-time-checkbox-div` and set the width to be `155` pixels.

### Why are the changes needed?
Fix bug for UI.

The tip of `shuffle-write-time` appears in an strange position before this change.
As shown below
![MEITU_20240819_105642523](https://github.com/user-attachments/assets/1e4e9639-a949-4fc3-86f4-7cb65d6d9c73)

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Manually check.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #47798 from xunxunmimi5577/add-width-style-for-shuffle_write_time-checkbox.

Authored-by: xunxunmimi5577 <52647492+xunxunmimi5577@users.noreply.github.com>
Signed-off-by: panbingkun <panbingkun@apache.org>
(cherry picked from commit 05728e4ff64e6684d7c6501f8a079e3b9aded9ed)
Signed-off-by: panbingkun <panbingkun@apache.org>
---
 core/src/main/resources/org/apache/spark/ui/static/webui.css | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/core/src/main/resources/org/apache/spark/ui/static/webui.css b/core/src/main/resources/org/apache/spark/ui/static/webui.css
index f952f86503e30..58c5add2d2400 100755
--- a/core/src/main/resources/org/apache/spark/ui/static/webui.css
+++ b/core/src/main/resources/org/apache/spark/ui/static/webui.css
@@ -355,6 +355,10 @@ a.expandbutton {
   width: 170px;
 }
 
+.shuffle-write-time-checkbox-div {
+  width: 155px; 
+} 
+
 .result-serialization-time-checkbox-div {
   width: 185px;
 }

From 1d6f7adbe622f8433b9e22e87fd191316ad86053 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Tue, 3 Dec 2024 08:31:07 -0800
Subject: [PATCH 914/986] [SPARK-50433][DOCS][TESTS][3.5] Fix configuring
 log4j2 guide docs for Spark on YARN and UT

Backport https://github.com/apache/spark/pull/48981 to 3.5

### What changes were proposed in this pull request?

As title.

### Why are the changes needed?

SPARK-37814 (3.3.0) migrated logging system from log4j1 to log4j2, we should updated the docs as well.

### Does this PR introduce _any_ user-facing change?

Yes, docs are updated.

### How was this patch tested?

Review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49044 from pan3793/SPARK-50433-3.5.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../org/apache/spark/sql/test/IntegrationTestUtils.scala  | 2 +-
 .../spark/examples/streaming/KinesisWordCountASL.scala    | 2 +-
 docs/running-on-yarn.md                                   | 8 ++++----
 .../spark/examples/streaming/StreamingExamples.scala      | 2 +-
 .../org/apache/spark/deploy/yarn/YarnClusterSuite.scala   | 2 +-
 5 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
index 61d08912aec23..3ae9b9fc73b48 100644
--- a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
+++ b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/IntegrationTestUtils.scala
@@ -74,7 +74,7 @@ object IntegrationTestUtils {
 
         // Redirect server log into console
         "--conf",
-        s"spark.driver.extraJavaOptions=-Dlog4j.configuration=$log4j2")
+        s"spark.driver.extraJavaOptions=-Dlog4j.configurationFile=$log4j2")
     } else Seq.empty
   }
 
diff --git a/connector/kinesis-asl/src/main/scala/org/apache/spark/examples/streaming/KinesisWordCountASL.scala b/connector/kinesis-asl/src/main/scala/org/apache/spark/examples/streaming/KinesisWordCountASL.scala
index 7d12af3256f1f..d388b480e065d 100644
--- a/connector/kinesis-asl/src/main/scala/org/apache/spark/examples/streaming/KinesisWordCountASL.scala
+++ b/connector/kinesis-asl/src/main/scala/org/apache/spark/examples/streaming/KinesisWordCountASL.scala
@@ -275,7 +275,7 @@ private[streaming] object StreamingExamples extends Logging {
       // We first log something to initialize Spark's default logging, then we override the
       // logging level.
       logInfo("Setting log level to [WARN] for streaming example." +
-        " To override add a custom log4j.properties to the classpath.")
+        " To override add a custom log4j2.properties to the classpath.")
       Configurator.setRootLevel(Level.WARN)
     }
   }
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index ce7121b806cb0..d0e725f6a98f4 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -121,15 +121,15 @@ all environment variables used for launching each container. This process is use
 classpath problems in particular. (Note that enabling this requires admin privileges on cluster
 settings and a restart of all node managers. Thus, this is not applicable to hosted clusters).
 
-To use a custom log4j configuration for the application master or executors, here are the options:
+To use a custom log4j2 configuration for the application master or executors, here are the options:
 
-- upload a custom `log4j.properties` using `spark-submit`, by adding it to the `--files` list of files
+- upload a custom `log4j2.properties` using `spark-submit`, by adding it to the `--files` list of files
   to be uploaded with the application.
-- add `-Dlog4j.configuration=<location of configuration file>` to `spark.driver.extraJavaOptions`
+- add `-Dlog4j.configurationFile=<location of configuration file>` to `spark.driver.extraJavaOptions`
   (for the driver) or `spark.executor.extraJavaOptions` (for executors). Note that if using a file,
   the `file:` protocol should be explicitly provided, and the file needs to exist locally on all
   the nodes.
-- update the `$SPARK_CONF_DIR/log4j.properties` file and it will be automatically uploaded along
+- update the `$SPARK_CONF_DIR/log4j2.properties` file and it will be automatically uploaded along
   with the other configurations. Note that other 2 options has higher priority than this option if
   multiple options are specified.
 
diff --git a/examples/src/main/scala/org/apache/spark/examples/streaming/StreamingExamples.scala b/examples/src/main/scala/org/apache/spark/examples/streaming/StreamingExamples.scala
index 20c5eb1700155..9289b005e3ba4 100644
--- a/examples/src/main/scala/org/apache/spark/examples/streaming/StreamingExamples.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/streaming/StreamingExamples.scala
@@ -31,7 +31,7 @@ object StreamingExamples extends Logging {
       // We first log something to initialize Spark's default logging, then we override the
       // logging level.
       logInfo("Setting log level to [WARN] for streaming example." +
-        " To override add a custom log4j.properties to the classpath.")
+        " To override add a custom log4j2.properties to the classpath.")
       Configurator.setRootLevel(Level.WARN)
     }
   }
diff --git a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnClusterSuite.scala b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnClusterSuite.scala
index 2637b2eab80e2..5cd69314d28fa 100644
--- a/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnClusterSuite.scala
+++ b/resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnClusterSuite.scala
@@ -293,7 +293,7 @@ class YarnClusterSuite extends BaseYarnClusterSuite {
   }
 
   test("running Spark in yarn-cluster mode displays driver log links") {
-    val log4jConf = new File(tempDir, "log4j.properties")
+    val log4jConf = new File(tempDir, "log4j2.properties")
     val logOutFile = new File(tempDir, "logs")
     Files.write(
       s"""rootLogger.level = debug

From 5dc927bab129c40b1e919889d22ada1c95157dc9 Mon Sep 17 00:00:00 2001
From: huangxiaoping <1754789345@qq.com>
Date: Wed, 4 Dec 2024 18:24:35 +0800
Subject: [PATCH 915/986] [SPARK-50487][DOCS] Update broken jira link

### What changes were proposed in this pull request?
Update broken jira link

### Why are the changes needed?
The old link is not accessible

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No testing required

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49052 from huangxiaopingRD/SPARK-50487.

Lead-authored-by: huangxiaoping <1754789345@qq.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit 3d063a01d7c2a6d9613e11dec882739daa7eeb71)
Signed-off-by: Kent Yao <yao@apache.org>
---
 core/src/main/scala/org/apache/spark/rdd/RDD.scala | 5 +++--
 python/pyspark/rdd.py                              | 4 ++--
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index f695b10202758..b63e5999127d4 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -1812,8 +1812,9 @@ abstract class RDD[T: ClassTag](
    * Please read the linked SPIP and design docs to understand the limitations and future plans.
    * @return an [[RDDBarrier]] instance that provides actions within a barrier stage
    * @see [[org.apache.spark.BarrierTaskContext]]
-   * @see <a href="https://jira.apache.org/jira/browse/SPARK-24374">SPIP: Barrier Execution Mode</a>
-   * @see <a href="https://jira.apache.org/jira/browse/SPARK-24582">Design Doc</a>
+   * @see <a href="https://issues.apache.org/jira/browse/SPARK-24374">
+   *        SPIP: Barrier Execution Mode</a>
+   * @see <a href="https://issues.apache.org/jira/browse/SPARK-24582">Design Doc</a>
    */
   @Experimental
   @Since("2.4.0")
diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index aa63c6509dce8..142678a4a6f6d 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -5130,8 +5130,8 @@ def barrier(self: "RDD[T]") -> "RDDBarrier[T]":
         -----
         For additional information see
 
-        - `SPIP: Barrier Execution Mode <http://jira.apache.org/jira/browse/SPARK-24374>`_
-        - `Design Doc <https://jira.apache.org/jira/browse/SPARK-24582>`_
+        - `SPIP: Barrier Execution Mode <https://issues.apache.org/jira/browse/SPARK-24374>`_
+        - `Design Doc <https://issues.apache.org/jira/browse/SPARK-24582>`_
 
         This API is experimental
         """

From acedb15ea3695c91d8ffbf207d593e9c0204ea09 Mon Sep 17 00:00:00 2001
From: Ruifeng Zheng <ruifengz@apache.org>
Date: Thu, 5 Dec 2024 07:47:26 -0800
Subject: [PATCH 916/986] [SPARK-50498][PYTHON] Avoid unnecessary py4j call in
 `listFunctions`

### What changes were proposed in this pull request?
Avoid unnecessary py4j call in `listFunctions`

### Why are the changes needed?
```
        iter = self._jcatalog.listFunctions(dbName).toLocalIterator()
        if pattern is None:
            iter = self._jcatalog.listFunctions(dbName).toLocalIterator()
        else:
            iter = self._jcatalog.listFunctions(dbName, pattern).toLocalIterator()
```

the first `self._jcatalog.listFunctions` is unnecessary

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #49073 from zhengruifeng/avoid_list_funcs.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 36285956ed2b9b8034d6918a9e951f1a2748f3ce)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 python/pyspark/sql/catalog.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/python/pyspark/sql/catalog.py b/python/pyspark/sql/catalog.py
index 2c6ed28461f36..3c22473a06235 100644
--- a/python/pyspark/sql/catalog.py
+++ b/python/pyspark/sql/catalog.py
@@ -481,7 +481,6 @@ def listFunctions(
         """
         if dbName is None:
             dbName = self.currentDatabase()
-        iter = self._jcatalog.listFunctions(dbName).toLocalIterator()
         if pattern is None:
             iter = self._jcatalog.listFunctions(dbName).toLocalIterator()
         else:

From 86e29e94d9fd5637d0258b0b234f1a82eb4fd860 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 5 Dec 2024 14:43:39 -0800
Subject: [PATCH 917/986] [SPARK-50505][DOCS] Fix
 `spark.storage.replication.proactive` default value documentation

### What changes were proposed in this pull request?

This PR aims to fix `spark.storage.replication.proactive` default value documentation.

### Why are the changes needed?

`spark.storage.replication.proactive` has been enabled by default since Apache Spark 3.2.0.

https://github.com/apache/spark/blob/6add9c89855f9311d5e185774ddddcbf4323beee/docs/core-migration-guide.md?plain=1#L85

https://github.com/apache/spark/blob/6add9c89855f9311d5e185774ddddcbf4323beee/core/src/main/scala/org/apache/spark/internal/config/package.scala#L494-L502

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49081 from dongjoon-hyun/SPARK-50505.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 21451fb312fee32188b6d24f406cb4f3a8349414)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/configuration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index abd934572bd00..302348aa0f0eb 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1959,7 +1959,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td><code>spark.storage.replication.proactive</code></td>
-  <td>false</td>
+  <td>true</td>
   <td>
     Enables proactive block replication for RDD blocks. Cached RDD block replicas lost due to
     executor failures are replenished if there are any existing available replicas. This tries

From d01f34f670d1e6ffb6fb6580ffa8ea34e20d07cb Mon Sep 17 00:00:00 2001
From: Livia Zhu <livia.zhu@databricks.com>
Date: Fri, 6 Dec 2024 11:28:55 +0900
Subject: [PATCH 918/986] [SPARK-50492][SS] Fix
 java.util.NoSuchElementException when event time column is dropped after
 dropDuplicatesWithinWatermark

### What changes were proposed in this pull request?

Update `DeduplicateWithinWatermark` references to include all attributes that could be the watermarking column.

### Why are the changes needed?

Fix `java.util.NoSuchElementException` due to ColumnPruning.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Added unit test

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49065 from liviazhu-db/liviazhu-db/dedup-watermark-fix.

Authored-by: Livia Zhu <livia.zhu@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 851f5f2ff905636388ff31f349c6fc5064875172)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../plans/logical/basicLogicalOperators.scala      |  3 +++
 ...treamingDeduplicationWithinWatermarkSuite.scala | 14 ++++++++++++++
 2 files changed, 17 insertions(+)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index f76e698a64005..b2ae138a9b0a9 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1944,6 +1944,9 @@ case class Deduplicate(
 }
 
 case class DeduplicateWithinWatermark(keys: Seq[Attribute], child: LogicalPlan) extends UnaryNode {
+  // Ensure that references include event time columns so they are not pruned away.
+  override def references: AttributeSet = AttributeSet(keys) ++
+    AttributeSet(child.output.filter(_.metadata.contains(EventTimeWatermark.delayKey)))
   override def maxRows: Option[Long] = child.maxRows
   override def output: Seq[Attribute] = child.output
   final override val nodePatterns: Seq[TreePattern] = Seq(DISTINCT_LIKE)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
index 9a02ab3df7dd4..af86e6ec88996 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingDeduplicationWithinWatermarkSuite.scala
@@ -220,4 +220,18 @@ class StreamingDeduplicationWithinWatermarkSuite extends StateStoreMetricsTest {
       )
     }
   }
+
+  test("SPARK-50492: drop event time column after dropDuplicatesWithinWatermark") {
+    val inputData = MemoryStream[(Int, Int)]
+    val result = inputData.toDS()
+      .withColumn("first", timestamp_seconds($"_1"))
+      .withWatermark("first", "10 seconds")
+      .dropDuplicatesWithinWatermark("_2")
+      .select("_2")
+
+    testStream(result, Append)(
+      AddData(inputData, (1, 2)),
+      CheckAnswer(2)
+    )
+  }
 }

From 153cd9e1a79643c88d5b26e6fae0086a472380f8 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Fri, 6 Dec 2024 16:36:11 +0800
Subject: [PATCH 919/986] [SPARK-50492][SS][FOLLOWUP][3.5] Change `def
 references` to `lazy val references` in `DeduplicateWithinWatermark` to fix
 the compilation issue
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This pr change `def references` to `lazy val references` in `DeduplicateWithinWatermark` to fix the following compilation error：

- https://github.com/apache/spark/actions/runs/12191807324/job/34011354774

```
[error] /home/runner/work/spark/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala:1948:16: overriding lazy value references in class QueryPlan of type org.apache.spark.sql.catalyst.expressions.AttributeSet;
[error]  method references needs to be a stable, immutable value
[error]   override def references: AttributeSet = AttributeSet(keys) ++
[error]                ^
[error] one error found
```

### Why are the changes needed?
Fix compile error.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass GitHub Actions

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49087 from LuciferYang/SPARK-50492-FOLLOWUP-3.5.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../sql/catalyst/plans/logical/basicLogicalOperators.scala     | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
index b2ae138a9b0a9..4824bc1f3c263 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
@@ -1945,7 +1945,8 @@ case class Deduplicate(
 
 case class DeduplicateWithinWatermark(keys: Seq[Attribute], child: LogicalPlan) extends UnaryNode {
   // Ensure that references include event time columns so they are not pruned away.
-  override def references: AttributeSet = AttributeSet(keys) ++
+  @transient
+  override lazy val references: AttributeSet = AttributeSet(keys) ++
     AttributeSet(child.output.filter(_.metadata.contains(EventTimeWatermark.delayKey)))
   override def maxRows: Option[Long] = child.maxRows
   override def output: Seq[Attribute] = child.output

From bf29ab9eae79e73c6844881b0cd3a5e284960618 Mon Sep 17 00:00:00 2001
From: Terry Wang <zjuwangg@foxmail.com>
Date: Fri, 6 Dec 2024 09:29:57 -0800
Subject: [PATCH 920/986] [SPARK-50421][CORE][3.5] Fix executor related memory
 config incorrect when multiple resource profiles worked

### What changes were proposed in this pull request?

Reset the executor's env memory related config when resource profile is not as the default resource profile!

### Why are the changes needed?
When multiple resource profile exists in the same spark application, now the executor's memory related config is not override by resource profile's memory size, which will cause maxOffHeap in `UnifiedMemoryManager` is not correct.
See https://issues.apache.org/jira/browse/SPARK-50421 for more details

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Tests in our inner spark version and jobs.

### Was this patch authored or co-authored using generative AI tooling?
No

This is a backporting from https://github.com/apache/spark/pull/48963 to branch 3.5

Closes #49090 from zjuwangg/m35_fixConfig.

Authored-by: Terry Wang <zjuwangg@foxmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../CoarseGrainedExecutorBackend.scala        | 21 +++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
index 537522326fc78..fe90895cacb53 100644
--- a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
@@ -474,6 +474,27 @@ private[spark] object CoarseGrainedExecutorBackend extends Logging {
       }
 
       driverConf.set(EXECUTOR_ID, arguments.executorId)
+      // Set executor memory related config here according to resource profile
+      if (cfg.resourceProfile.id != ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID) {
+        cfg.resourceProfile
+          .executorResources
+          .foreach {
+            case (ResourceProfile.OFFHEAP_MEM, request) =>
+              driverConf.set(MEMORY_OFFHEAP_SIZE.key, request.amount.toString + "m")
+              logInfo(s"Set executor off-heap memory to $request")
+            case (ResourceProfile.MEMORY, request) =>
+              driverConf.set(EXECUTOR_MEMORY.key, request.amount.toString + "m")
+              logInfo(s"Set executor memory to $request")
+            case (ResourceProfile.OVERHEAD_MEM, request) =>
+              // Maybe don't need to set this since it's nearly used by tasks.
+              driverConf.set(EXECUTOR_MEMORY_OVERHEAD.key, request.amount.toString + "m")
+              logInfo(s"Set executor memory_overhead to $request")
+            case (ResourceProfile.CORES, request) =>
+              driverConf.set(EXECUTOR_CORES.key, request.amount.toString)
+              logInfo(s"Set executor cores to $request")
+            case _ =>
+          }
+      }
       val env = SparkEnv.createExecutorEnv(driverConf, arguments.executorId, arguments.bindAddress,
         arguments.hostname, arguments.cores, cfg.ioEncryptionKey, isLocal = false)
       // Set the application attemptId in the BlockStoreClient if available.

From d8f3afac944291869b55dc8ad52aa638ba24f98b Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sat, 7 Dec 2024 10:22:15 +0800
Subject: [PATCH 921/986] [SPARK-50514][DOCS] Add `IDENTIFIER clause` page to
 `menu-sql.yaml`

### What changes were proposed in this pull request?

This PR aims to add `IDENTIFIER clause` page to `menu-sql.yaml` for Apache Spark 3.5.4.

### Why are the changes needed?

This was missed at SPARK-43205 (Apache Spark 3.5.0).
- #42506

### Does this PR introduce _any_ user-facing change?

**BEFORE**
![Screenshot 2024-12-06 at 11 35 52](https://github.com/user-attachments/assets/c3c8dc56-b8d4-4f8d-bb9e-31bccb1f5d42)

**AFTER**
![Screenshot 2024-12-06 at 11 36 14](https://github.com/user-attachments/assets/bd1606d2-eb3f-4640-92ef-b0079847c3a3)

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49097 from dongjoon-hyun/SPARK-50514.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
(cherry picked from commit 28766d4120f4f5bb13f474d53e83e05f38a31475)
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 docs/_data/menu-sql.yaml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/_data/menu-sql.yaml b/docs/_data/menu-sql.yaml
index ff93f09a83ce1..99d7aded3f25a 100644
--- a/docs/_data/menu-sql.yaml
+++ b/docs/_data/menu-sql.yaml
@@ -87,6 +87,8 @@
       url: sql-ref-functions.html
     - text: Identifiers
       url: sql-ref-identifier.html
+    - text: IDENTIFIER clause
+      url: sql-ref-identifier-clause.html
     - text: Literals
       url: sql-ref-literals.html
     - text: Null Semantics

From 305d2a0aa48cf5b470f75b02677e7761dca2a0e1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Andrej=20Gobelji=C4=87?= <andrej.gobeljic@databricks.com>
Date: Sat, 7 Dec 2024 10:24:53 -0800
Subject: [PATCH 922/986] [SPARK-49695][SQL][3.5] Postgres fix xor push-down
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
Backport of the https://github.com/apache/spark/pull/48144

This PR fixes the pushdown of ^ operator (XOR operator) for Postgres. Those two databases use this as exponent, rather then bitwise xor.

Fix is consisted of overriding the SQLExpressionBuilder to replace the '^' character with '#'.
### Why are the changes needed?
Result is incorrect.

### Does this PR introduce _any_ user-facing change?
Yes. The user will now have a proper translation of the ^ operator.

### How was this patch tested?

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #49071 from andrej-db/PGXORBackport.

Lead-authored-by: Andrej Gobeljić <andrej.gobeljic@databricks.com>
Co-authored-by: andrej-gobeljic_data <andrej.gobeljic@databricks.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../jdbc/v2/PostgresIntegrationSuite.scala    | 10 +++++++++
 .../spark/sql/jdbc/PostgresDialect.scala      | 21 ++++++++++++++++++-
 2 files changed, 30 insertions(+), 1 deletion(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index 7fef3ccd6b3f6..b0edac3fcdd1f 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -22,6 +22,7 @@ import java.sql.Connection
 import org.apache.spark.SparkConf
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException
+import org.apache.spark.sql.execution.FilterExec
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
 import org.apache.spark.sql.jdbc.DatabaseOnDocker
 import org.apache.spark.sql.types._
@@ -123,4 +124,13 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
       )
     }
   }
+
+  test("SPARK-49695: Postgres fix xor push-down") {
+    val df = spark.sql(s"select dept, name from $catalogName.employee where dept ^ 6 = 0")
+    val rows = df.collect()
+    assert(!df.queryExecution.sparkPlan.exists(_.isInstanceOf[FilterExec]))
+    assert(rows.length == 1)
+    assert(rows(0).getInt(0) === 6)
+    assert(rows(0).getString(1) === "jen")
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index f8f72d88589e3..dd4545bc41b42 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -22,11 +22,13 @@ import java.time.{LocalDateTime, ZoneOffset}
 import java.util
 import java.util.Locale
 
+import scala.util.control.NonFatal
+
 import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.analysis.{IndexAlreadyExistsException, NonEmptyNamespaceException, NoSuchIndexException}
 import org.apache.spark.sql.connector.catalog.Identifier
-import org.apache.spark.sql.connector.expressions.NamedReference
+import org.apache.spark.sql.connector.expressions.{Expression, NamedReference}
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.jdbc.{JDBCOptions, JdbcUtils}
 import org.apache.spark.sql.execution.datasources.v2.TableSampleInfo
@@ -258,6 +260,23 @@ private object PostgresDialect extends JdbcDialect with SQLConfHelper {
     }
   }
 
+  class PostgresSQLBuilder extends JDBCSQLBuilder {
+    override def visitBinaryArithmetic(name: String, l: String, r: String): String = {
+      l + " " + name.replace('^', '#') + " " + r
+    }
+  }
+
+  override def compileExpression(expr: Expression): Option[String] = {
+    val postgresSQLBuilder = new PostgresSQLBuilder()
+    try {
+      Some(postgresSQLBuilder.build(expr))
+    } catch {
+      case NonFatal(e) =>
+        logWarning("Error occurs while compiling V2 expression", e)
+        None
+    }
+  }
+
   override def supportsLimit: Boolean = true
 
   override def supportsOffset: Boolean = true

From a57f3c273b4d9cc637f189d36ba0c4db256d60a9 Mon Sep 17 00:00:00 2001
From: Yuming Wang <yumwang@ebay.com>
Date: Sat, 7 Dec 2024 20:00:37 -0800
Subject: [PATCH 923/986] [SPARK-50483][CORE][SQL][3.5] BlockMissingException
 should be thrown even if ignoreCorruptFiles is enabled

### What changes were proposed in this pull request?

`BlockMissingException` extends from `IOException`. When `BlockMissingException` occurs and ignoreCorruptFiles is enabled, the current task may not get any data and will be marked as successful([code](https://github.com/apache/spark/blob/0d045db8d15d0aeb0f54a1557fd360363e77ed42/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala#L271-L273)). This will cause data quality issues.
Generally speaking, `BlockMissingException` is a system issue, not a file corruption issue. Therefore, `BlockMissingException` should be thrown even if ignoreCorruptFiles is enabled.

Related error message:
```
24/11/29 01:56:00 WARN FileScanRDD: Skipped the rest of the content in the corrupted file: path: viewfs://hadoop-cluster/path/to/data/part-00320-7915e327-3214-4585-a44e-f9c58e362b43.c000.snappy.parquet, range: 191727616-281354675, partition values: [empty row]
org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-169998034-10.210.23.11-1507067630530:blk_83565156183_82548880660 file/path/to/data/part-00320-7915e327-3214-4585-a44e-f9c58e362b43.c000.snappy.parquet No live nodes contain current block Block locations: DatanodeInfoWithStorage[10.209.145.174:50010,DS-c7c0a172-5ffa-4f90-bfb5-717fb1e9ecf2,DISK] DatanodeInfoWithStorage[10.3.22.142:50010,DS-a1ba9ac9-dc92-4131-a2c2-9f7d03b97caf,DISK] DatanodeInfoWithStorage[10.209.146.156:50010,DS-71d8ae97-15d3-454e-a715-d9490e184989,DISK] Dead nodes:  DatanodeInfoWithStorage[10.209.146.156:50010,DS-71d8ae97-15d3-454e-a715-d9490e184989,DISK] DatanodeInfoWithStorage[10.209.145.174:50010,DS-c7c0a172-5ffa-4f90-bfb5-717fb1e9ecf2,DISK] DatanodeInfoWithStorage[10.3.22.142:50010,DS-a1ba9ac9-dc92-4131-a2c2-9f7d03b97caf,DISK]
```

![image](https://github.com/user-attachments/assets/e040ce9d-1a0e-44eb-bd03-4cd7a9fff80f)

### Why are the changes needed?

Avoid data issue if ignoreCorruptFiles is enabled when `BlockMissingException` occurred.

### Does this PR introduce _any_ user-facing change?

Yes.

### How was this patch tested?

Manual test.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49105 from wangyum/SPARK-50483-branch-3.5.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../src/main/scala/org/apache/spark/sql/avro/AvroUtils.scala  | 3 +++
 core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala      | 3 +++
 core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala   | 3 +++
 .../apache/spark/sql/execution/datasources/FileScanRDD.scala  | 2 ++
 .../sql/execution/datasources/v2/FilePartitionReader.scala    | 4 ++++
 5 files changed, 15 insertions(+)

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroUtils.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroUtils.scala
index 2554106d78e9d..67e4583fe4822 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroUtils.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroUtils.scala
@@ -29,6 +29,7 @@ import org.apache.avro.mapred.{AvroOutputFormat, FsInput}
 import org.apache.avro.mapreduce.AvroJob
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.FileStatus
+import org.apache.hadoop.hdfs.BlockMissingException
 import org.apache.hadoop.mapreduce.Job
 
 import org.apache.spark.SparkException
@@ -140,6 +141,8 @@ private[sql] object AvroUtils extends Logging {
           try {
             Some(DataFileReader.openReader(in, new GenericDatumReader[GenericRecord]()))
           } catch {
+            case e: BlockMissingException =>
+              throw new SparkException(s"Could not read file: $path", e)
             case e: IOException =>
               if (ignoreCorruptFiles) {
                 logWarning(s"Skipped the footer in the corrupted file: $path", e)
diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
index cad107256c58c..edd07a2649dbb 100644
--- a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
@@ -25,6 +25,7 @@ import scala.collection.immutable.Map
 import scala.reflect.ClassTag
 
 import org.apache.hadoop.conf.{Configurable, Configuration}
+import org.apache.hadoop.hdfs.BlockMissingException
 import org.apache.hadoop.io.compress.CompressionCodecFactory
 import org.apache.hadoop.mapred._
 import org.apache.hadoop.mapred.lib.CombineFileSplit
@@ -293,6 +294,7 @@ class HadoopRDD[K, V](
             null
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
+          case e: BlockMissingException => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(s"Skipped the rest content in the corrupted file: ${split.inputSplit}", e)
             finished = true
@@ -318,6 +320,7 @@ class HadoopRDD[K, V](
             finished = true
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
+          case e: BlockMissingException => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(s"Skipped the rest content in the corrupted file: ${split.inputSplit}", e)
             finished = true
diff --git a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
index 119fdae531f22..fbd2235aabaf6 100644
--- a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
@@ -25,6 +25,7 @@ import scala.collection.JavaConverters.asScalaBufferConverter
 import scala.reflect.ClassTag
 
 import org.apache.hadoop.conf.{Configurable, Configuration}
+import org.apache.hadoop.hdfs.BlockMissingException
 import org.apache.hadoop.io.Writable
 import org.apache.hadoop.io.compress.CompressionCodecFactory
 import org.apache.hadoop.mapred.JobConf
@@ -227,6 +228,7 @@ class NewHadoopRDD[K, V](
             null
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
+          case e: BlockMissingException => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(
               s"Skipped the rest content in the corrupted file: ${split.serializableHadoopSplit}",
@@ -255,6 +257,7 @@ class NewHadoopRDD[K, V](
               finished = true
             // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
             case e: FileNotFoundException if !ignoreMissingFiles => throw e
+            case e: BlockMissingException => throw e
             case e: IOException if ignoreCorruptFiles =>
               logWarning(
                 s"Skipped the rest content in the corrupted file: ${split.serializableHadoopSplit}",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
index 0cca51cf4e393..ce56fc1b28296 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
@@ -23,6 +23,7 @@ import java.net.URI
 import scala.util.control.NonFatal
 
 import org.apache.hadoop.fs.Path
+import org.apache.hadoop.hdfs.BlockMissingException
 
 import org.apache.spark.{Partition => RDDPartition, SparkUpgradeException, TaskContext}
 import org.apache.spark.deploy.SparkHadoopUtil
@@ -259,6 +260,7 @@ class FileScanRDD(
                     null
                   // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
                   case e: FileNotFoundException if !ignoreMissingFiles => throw e
+                  case e: BlockMissingException => throw e
                   case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
                     logWarning(
                       s"Skipped the rest of the content in the corrupted file: $currentFile", e)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
index 7159bc6de3a47..8f51226dcfe99 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
@@ -20,6 +20,8 @@ import java.io.{FileNotFoundException, IOException}
 
 import scala.util.control.NonFatal
 
+import org.apache.hadoop.hdfs.BlockMissingException
+
 import org.apache.spark.SparkUpgradeException
 import org.apache.spark.internal.Logging
 import org.apache.spark.rdd.InputFileBlockHolder
@@ -49,6 +51,7 @@ class FilePartitionReader[T](
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles =>
             throw QueryExecutionErrors.fileNotFoundError(e)
+          case e: BlockMissingException => throw e
           case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
             logWarning(
               s"Skipped the rest of the content in the corrupted file.", e)
@@ -68,6 +71,7 @@ class FilePartitionReader[T](
         throw QueryExecutionErrors.unsupportedSchemaColumnConvertError(
           currentReader.file.urlEncodedPath,
           e.getColumn, e.getLogicalType, e.getPhysicalType, e)
+      case e: BlockMissingException => throw e
       case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
         logWarning(
           s"Skipped the rest of the content in the corrupted file: $currentReader", e)

From 929a19fe1604e07adf9ed2798ec0c1b53e0bd60d Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Mon, 9 Dec 2024 01:32:17 +0000
Subject: [PATCH 924/986] Preparing Spark release v3.5.4-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 2 +-
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index 3367c1629c578..47b38621d6400 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 014ff5bbaf209..3757f69e9bd17 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index ed2352fd1276e..83243d183b7b9 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index b791a06aad43a..e74fb05beb0ae 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 685ada5194905..13c4b5cca1e32 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index b2e488c7bb222..709bbed0c553c 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 3a260a8dff53f..59e9973c42d05 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index fd0aa7ba2a3a2..e222499eec228 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7c87be73d7d96..7b2a1ad57b0ff 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8bc2802ea5d0d..1a6fe528b9168 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 87f6a589261cc..695146d7a1113 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 994179fd99ac8..6c50469717f95 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 801c28319ee84..aeadbacb7c692 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 19377b36a612f..435c0fbd797aa 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index ae11f0eac307d..8b6d7d47b0392 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 533a45e18f662..dce1990f1c9d0 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 07ca1c2b2f3c7..5973b9595db8a 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 176d92da63801..54ba2b22093d0 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index a6ef06142f5cb..5e0c0fcafc12b 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 4282e1f035716..65b0fa33db29f 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 2af6002b5c7db..95be9ab74f105 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index a46c9bbfec2cf..62f1c4ab2b124 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index d1b0e82c7c0d5..e59066e19850d 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 3dea0c82204bd..a207cc2d911b5 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4-SNAPSHOT
+SPARK_VERSION: 3.5.4
 SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
diff --git a/examples/pom.xml b/examples/pom.xml
index 26d91eff504f2..5efc255218570 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index c4f250b40f33d..74ad5a732f054 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index a47d25015dfa9..cb89c27d5f0ba 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index 5c1844be5782d..e36d57fe6a573 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index bb821190273e1..26e9a1502abab 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 202b80d38e24f..079ce72d5d959 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 6497056fa2e48..8dc47f391f967 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4-SNAPSHOT</version>
+  <version>3.5.4</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index 002d06e28ea15..db20a2ffae586 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4.dev0"
+__version__: str = "3.5.4"
diff --git a/repl/pom.xml b/repl/pom.xml
index 5ef505bbc48e5..3f8c931a60664 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index cd90f32d0814f..5991f1848ccf8 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index b72a3daea3c38..8ec4e86ab8f12 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 31377cbda5d8e..9ace7e29de0a0 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index d7f3786e1050f..f0df0ff0ea2f4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 038b6c16a4e88..c180a208bf093 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 0564a6be7432a..58a2333b5b5a0 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 62d33dbfc2d41..9577de81c2057 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 5d2708dfdd714..6c86bc35a89d7 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 9a313907eb130..be3c952e4131b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 6cbccb39772c9..21d2981fe1088 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index f23f4a4b50559..7e5724b5d9dd3 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 8e6507a3d83a8f8ef466ed5f411884b9655916df Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Mon, 9 Dec 2024 01:32:23 +0000
Subject: [PATCH 925/986] Preparing development version 3.5.5-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..5eca59375425e 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.5
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 47b38621d6400..ee2e7b48871ee 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 3757f69e9bd17..a5ac18252d9c9 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 83243d183b7b9..c3f33905ae20c 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index e74fb05beb0ae..de0af6da6c9ec 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 13c4b5cca1e32..54edc410aa9cc 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 709bbed0c553c..88ae8e2715a04 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 59e9973c42d05..adeab180901c6 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index e222499eec228..0518930d7eb5b 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7b2a1ad57b0ff..fc15de78ed505 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 1a6fe528b9168..8d78204ddce30 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 695146d7a1113..c220ce4d032e5 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6c50469717f95..8fd5820c35c71 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index aeadbacb7c692..747c56d148ebb 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 435c0fbd797aa..878bd4590b50f 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 8b6d7d47b0392..119761501dad9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index dce1990f1c9d0..51ab703585beb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 5973b9595db8a..7e1c6ebac9a7f 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 54ba2b22093d0..5014e1a1494ce 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5e0c0fcafc12b..65d86f5617b1c 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 65b0fa33db29f..47495110bf7d8 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 95be9ab74f105..3f417fba4b021 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 62f1c4ab2b124..47db5eb9253e8 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index e59066e19850d..ed5c82d28ca68 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index a207cc2d911b5..969b61fa00363 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.5-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.5
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.5"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 5efc255218570..506aa7836485a 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 74ad5a732f054..f330d4d1a5377 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index cb89c27d5f0ba..29f47eec8a5c6 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e36d57fe6a573..e309c1f734296 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 26e9a1502abab..f8a3cf1cc16df 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 079ce72d5d959..1fa3e215977d9 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8dc47f391f967..0ccb6ac76a9bc 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4</version>
+  <version>3.5.5-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index db20a2ffae586..df09fc3284fbd 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4"
+__version__: str = "3.5.5.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 3f8c931a60664..e3f52f07cc4d7 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 5991f1848ccf8..e4d890a930a2a 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 8ec4e86ab8f12..85a125ddfe4b7 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 9ace7e29de0a0..118f0034ddf5a 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index f0df0ff0ea2f4..4c85e90c4e485 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index c180a208bf093..1613c3218649b 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 58a2333b5b5a0..e7736c95007ad 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 9577de81c2057..889fba8892568 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 6c86bc35a89d7..110f9e168de6b 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index be3c952e4131b..8fc5d81ab8982 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 21d2981fe1088..e3002680f2173 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 7e5724b5d9dd3..3530297bf8f83 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From deabe49d94f28d19438865effe2f92ec536d2bc6 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Mon, 9 Dec 2024 19:45:16 +0800
Subject: [PATCH 926/986] [SPARK-49134][INFRA][3.5] Support retry for deploying
 artifacts to Nexus staging repository

### What changes were proposed in this pull request?

This PR improves `dev/create-release/release-build.sh` by enabling 3-times retry for deploying artifacts to the Nexus staging repository

When I was setting up 3.5.2-rc5 on my AWS EC2 instance, I encountered an issue with closing the `orgapachespark-1461` due to a timeout while uploading a sha1 file.

```xml
  Uploading spark-streaming-kafka-0-10_2.13/3.5.2/spark-streaming-kafka-0-10_2.13-3.5.2-test-sources.jar.sha1
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   262  100   221  100    41     15      2  0:00:20  0:00:13  0:00:07    58
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN">
<html><head>
<title>408 Request Timeout</title>
</head><body>
<h1>Request Timeout</h1>
<p>Server timeout waiting for the HTTP request from the client.</p>
</body></html>

```

I might choose to upload it manually but I didn't, because I was afraid of making some unpredictable errors.

So I regenerated and uploaded `orgapachespark-1462`.

### Why are the changes needed?

To avoid temporary network errors when performing the publish step for release managers.
### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

existing tests

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #49108 from LuciferYang/SPARK-49134-3.5.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 dev/create-release/release-build.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/create-release/release-build.sh b/dev/create-release/release-build.sh
index 99841916cf293..3546e721edbd2 100755
--- a/dev/create-release/release-build.sh
+++ b/dev/create-release/release-build.sh
@@ -505,7 +505,7 @@ if [[ "$1" == "publish-release" ]]; then
       file_short=$(echo $file | sed -e "s/\.\///")
       dest_url="$nexus_upload/org/apache/spark/$file_short"
       echo "  Uploading $file_short"
-      curl -u $ASF_USERNAME:$ASF_PASSWORD --upload-file $file_short $dest_url
+      curl --retry 3 --retry-all-errors -u $ASF_USERNAME:$ASF_PASSWORD --upload-file $file_short $dest_url
     done
 
     echo "Closing nexus staging repository"

From a3cf28ea73f0bd1147af6557954b329cad5226ea Mon Sep 17 00:00:00 2001
From: Richard Chen <r.chen@databricks.com>
Date: Wed, 11 Dec 2024 01:56:22 +0800
Subject: [PATCH 927/986] [SPARK-50463][SQL][3.5] Fix `ConstantColumnVector`
 with Columnar to Row conversion

### What changes were proposed in this pull request?

https://github.com/apache/spark/commit/800faf0abfa368ad0a5ef1e0fa44b74dbaab724e frees column vector resources between batches in columnar to row conversion. However, like `WritableColumnVector`, `ConstantColumnVector` should not free resources between batches because the same data is used across batches

### Why are the changes needed?
Without this change, ConstantColumnVectors with string values, for example, will fail if used with column->row conversion. For instance, reading a parquet table partitioned by a string column with multiple batches.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
added UT that failed before and now passes

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #49131 from LuciferYang/SPARK-50463-3.5.

Authored-by: Richard Chen <r.chen@databricks.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/vectorized/ColumnVector.java    | 12 +++++------
 .../spark/sql/vectorized/ColumnarBatch.java   |  8 ++++----
 .../vectorized/ConstantColumnVector.java      |  5 +++++
 .../vectorized/WritableColumnVector.java      |  2 +-
 .../apache/spark/sql/execution/Columnar.scala |  2 +-
 .../parquet/ParquetQuerySuite.scala           | 20 +++++++++++++++++++
 6 files changed, 37 insertions(+), 12 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
index 7dc2d38144296..ea199e2685a54 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
@@ -68,14 +68,14 @@ public abstract class ColumnVector implements AutoCloseable {
   public abstract void close();
 
   /**
-   * Cleans up memory for this column vector if it's not writable. The column vector is not usable
-   * after this.
+   * Cleans up memory for this column vector if it's resources are freeable between batches.
+   * The column vector is not usable after this.
    *
-   * If this is a writable column vector, it is a no-op.
+   * If this is a writable column vector or constant column vector, it is a no-op.
    */
-  public void closeIfNotWritable() {
-    // By default, we just call close() for all column vectors. If a column vector is writable, it
-    // should override this method and do nothing.
+  public void closeIfFreeable() {
+    // By default, we just call close() for all column vectors. If a column vector is writable or
+    // constant, it should override this method and do nothing.
     close();
   }
 
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
index 52e4115af336a..7ef570a212292 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarBatch.java
@@ -46,12 +46,12 @@ public void close() {
   }
 
   /**
-   * Called to close all the columns if they are not writable. This is used to clean up memory
-   * allocated during columnar processing.
+   * Called to close all the columns if their resources are freeable between batches.
+   * This is used to clean up memory allocated during columnar processing.
    */
-  public void closeIfNotWritable() {
+  public void closeIfFreeable() {
     for (ColumnVector c: columns) {
-      c.closeIfNotWritable();
+      c.closeIfFreeable();
     }
   }
 
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ConstantColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ConstantColumnVector.java
index 5095e6b0c9c6b..9713998549c72 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ConstantColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ConstantColumnVector.java
@@ -72,6 +72,11 @@ public ConstantColumnVector(int numRows, DataType type) {
     }
   }
 
+  public void closeIfFreeable() {
+    // no-op: `ConstantColumnVector`s reuse the data backing its value across multiple batches and
+    // are freed at the end of execution in `close`.
+  }
+
   @Override
   public void close() {
     stringData = null;
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
index 0fde85fd454c1..d23de1ff0cfe9 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java
@@ -88,7 +88,7 @@ public void close() {
   }
 
   @Override
-  public void closeIfNotWritable() {
+  public void closeIfFreeable() {
     // no-op
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
index ea559efc45f13..bfb198adad501 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
@@ -194,7 +194,7 @@ case class ColumnarToRowExec(child: SparkPlan) extends ColumnarToRowTransition w
        |    $shouldStop
        |  }
        |  $idx = $numRows;
-       |  $batch.closeIfNotWritable();
+       |  $batch.closeIfFreeable();
        |  $batch = null;
        |  $nextBatchFuncName();
        |}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index 29cb224c8787c..f6472ba3d9dbc 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -482,6 +482,26 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
     }
   }
 
+  test("SPARK-50463: Partition values can be read over multiple batches") {
+    withTempDir { dir =>
+      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_BATCH_SIZE.key -> "1") {
+        val path = dir.getAbsolutePath
+        spark.range(0, 5)
+          .selectExpr("concat(cast(id % 2 as string), 'a') as partCol", "id")
+          .write
+          .format("parquet")
+          .mode("overwrite")
+          .partitionBy("partCol").save(path)
+        val df = spark.read.format("parquet").load(path).selectExpr("partCol")
+        val expected = spark.range(0, 5)
+          .selectExpr("concat(cast(id % 2 as string), 'a') as partCol")
+          .collect()
+
+        checkAnswer(df, expected)
+      }
+    }
+  }
+
   test("SPARK-10301 requested schema clipping - same schema") {
     withTempPath { dir =>
       val path = dir.getCanonicalPath

From bb953f97e6c5a26861296aca0a4f14db078ef2ef Mon Sep 17 00:00:00 2001
From: changgyoopark-db <changgyoo.park@databricks.com>
Date: Wed, 11 Dec 2024 12:56:43 +0800
Subject: [PATCH 928/986] [SPARK-50510][CONNECT][3.5] Fix sporadic
 ReattachableExecuteSuite failure

### What changes were proposed in this pull request?

ReattachableExecuteSuite detected a rare data race issue where ExecuteThreadRunner may send the client the wrong error code before the SparkConnect service sends the correct error code.
- The test fails if ExecuteThreadRunner is finished before the SparkConnect service sends the correct error code and after the session is invalidated; to be specific, the event manager throws an illegal state exception (SPARK-49688) that is translated into an unknown error.
- The whole problem was addressed under https://github.com/apache/spark/pull/48208 for Spark 4.0.

### Why are the changes needed?

1. Clients may get the wrong error message: expect session-closed or the like, but get unknown.
2. To fix the ReattachableExecuteSuite failure.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

ReattachableExecuteSuite.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49127 from changgyoopark-db/SPARK-50510.

Authored-by: changgyoopark-db <changgyoo.park@databricks.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 .../spark/sql/connect/service/ExecuteHolder.scala      | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
index 0e4f344da901c..93a1757cd687a 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/ExecuteHolder.scala
@@ -21,6 +21,7 @@ import java.util.UUID
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable
+import scala.util.control.NonFatal
 
 import org.apache.spark.{SparkEnv, SparkSQLException}
 import org.apache.spark.connect.proto
@@ -237,7 +238,14 @@ private[connect] class ExecuteHolder(
         // it does.
         responseObserver.removeAll()
         // post closed to UI
-        eventsManager.postClosed()
+        try {
+          eventsManager.postClosed()
+        } catch {
+          // Catching the exception to prevent the wrong error code from being returned to the
+          // user: SPARK-49688. The issue was fixed by completely refactoring the code in Spark 4.0.
+          case e: Throwable if NonFatal.apply(e) =>
+            logError(s"Error posting closed event to UI: ${e.getMessage()}")
+        }
       }
       // interrupt any attached grpcResponseSenders
       grpcResponseSenders.foreach(_.interrupt())

From e97580a904dab438b2b5a51e49db63602dc45592 Mon Sep 17 00:00:00 2001
From: andrej-gobeljic_data <andrej.gobeljic@databricks.com>
Date: Wed, 11 Dec 2024 16:52:11 -0800
Subject: [PATCH 929/986] [SPARK-50087][SQL][3.5] Robust handling of boolean
 expressions in CASE WHEN for MsSqlServer and future connectors
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?
This PR proposes to propagate the `isPredicate` info in `V2ExpressionBuilder` and wrap the children of CASE WHEN expression (only `Predicate`s) with `IIF(<>, 1, 0)` for MsSqlServer. This is done to force returning an int instead of a boolean, as SqlServer cannot handle boolean expressions as a return type in CASE WHEN.

E.g.
```CASE WHEN ... ELSE a = b END```

Old behavior:
```CASE WHEN ... ELSE a = b END = 1```

New behavior:
Since in SqlServer a `= 1` is appended to the CASE WHEN, THEN and ELSE blocks must return an int. Therefore the final expression becomes:
```CASE WHEN ... ELSE IIF(a = b, 1, 0) END = 1```

### Why are the changes needed?
A user cannot work with an MsSqlServer data with CASE WHEN clauses or IF clauses if they wish to return a boolean value.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Added tests to MsSqlServerIntegrationSuite

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49115 from andrej-db/CASEWHENBackport.

Lead-authored-by: andrej-gobeljic_data <andrej.gobeljic@databricks.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Co-authored-by: Andrej Gobeljić <andrej.gobeljic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../jdbc/v2/MsSqlServerIntegrationSuite.scala | 79 +++++++++++++++++++
 .../util/V2ExpressionSQLBuilder.java          |  2 +-
 .../catalyst/util/V2ExpressionBuilder.scala   |  6 +-
 .../execution/datasources/jdbc/JDBCRDD.scala  | 31 +++++++-
 .../apache/spark/sql/jdbc/JdbcDialects.scala  | 13 +++
 .../spark/sql/jdbc/MsSqlServerDialect.scala   | 24 +++++-
 6 files changed, 147 insertions(+), 8 deletions(-)

diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
index de8fcf1a4a787..78fdbe7158bb7 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/MsSqlServerIntegrationSuite.scala
@@ -22,7 +22,11 @@ import java.sql.Connection
 import org.scalatest.time.SpanSugar._
 
 import org.apache.spark.{SparkConf, SparkSQLFeatureNotSupportedException}
+import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.execution.{RowDataSourceScanExec, SparkPlan}
+import org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
 import org.apache.spark.sql.jdbc.MsSQLServerDatabaseOnDocker
 import org.apache.spark.sql.types._
@@ -39,6 +43,17 @@ import org.apache.spark.tags.DockerTest
 @DockerTest
 class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCTest {
 
+  def getExternalEngineQuery(executedPlan: SparkPlan): String = {
+    getExternalEngineRdd(executedPlan).asInstanceOf[JDBCRDD].getExternalEngineQuery
+  }
+
+  def getExternalEngineRdd(executedPlan: SparkPlan): RDD[InternalRow] = {
+    val queryNode = executedPlan.collect { case r: RowDataSourceScanExec =>
+      r
+    }.head
+    queryNode.rdd
+  }
+
   override def excluded: Seq[String] = Seq(
     "simple scan with OFFSET",
     "simple scan with LIMIT and OFFSET",
@@ -137,4 +152,68 @@ class MsSqlServerIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JD
       "WHERE (dept > 1 AND ((name LIKE 'am%') = (name LIKE '%y')))")
     assert(df3.collect().length == 3)
   }
+
+  test("SPARK-50087: SqlServer handle booleans in CASE WHEN test") {
+    val df = sql(
+      s"""|SELECT * FROM $catalogName.employee
+          |WHERE CASE WHEN name = 'Legolas' THEN name = 'Elf' ELSE NOT (name = 'Wizard') END
+          |""".stripMargin
+    )
+
+    // scalastyle:off
+    assert(getExternalEngineQuery(df.queryExecution.executedPlan) ==
+      """SELECT  "dept","name","salary","bonus" FROM "employee"  WHERE (CASE WHEN ("name" = 'Legolas') THEN IIF(("name" = 'Elf'), 1, 0) ELSE IIF(("name" <> 'Wizard'), 1, 0) END = 1)  """
+    )
+    // scalastyle:on
+    df.collect()
+  }
+
+  test("SPARK-50087: SqlServer handle booleans in CASE WHEN with always true test") {
+    val df = sql(
+      s"""|SELECT * FROM $catalogName.employee
+          |WHERE CASE WHEN (name = 'Legolas') THEN (name = 'Elf') ELSE (1=1) END
+          |""".stripMargin
+    )
+
+    // scalastyle:off
+    assert(getExternalEngineQuery(df.queryExecution.executedPlan) ==
+      """SELECT  "dept","name","salary","bonus" FROM "employee"  WHERE (CASE WHEN ("name" = 'Legolas') THEN IIF(("name" = 'Elf'), 1, 0) ELSE 1 END = 1)  """
+    )
+    // scalastyle:on
+    df.collect()
+  }
+
+  test("SPARK-50087: SqlServer handle booleans in nested CASE WHEN test") {
+    val df = sql(
+      s"""|SELECT * FROM $catalogName.employee
+          |WHERE CASE WHEN (name = 'Legolas') THEN
+          | CASE WHEN (name = 'Elf') THEN (name = 'Elrond') ELSE (name = 'Gandalf') END
+          | ELSE (name = 'Sauron') END
+          |""".stripMargin
+    )
+
+    // scalastyle:off
+    assert(getExternalEngineQuery(df.queryExecution.executedPlan) ==
+      """SELECT  "dept","name","salary","bonus" FROM "employee"  WHERE (CASE WHEN ("name" = 'Legolas') THEN IIF((CASE WHEN ("name" = 'Elf') THEN IIF(("name" = 'Elrond'), 1, 0) ELSE IIF(("name" = 'Gandalf'), 1, 0) END = 1), 1, 0) ELSE IIF(("name" = 'Sauron'), 1, 0) END = 1)  """
+    )
+    // scalastyle:on
+    df.collect()
+  }
+
+  test("SPARK-50087: SqlServer handle non-booleans in nested CASE WHEN test") {
+    val df = sql(
+      s"""|SELECT * FROM $catalogName.employee
+          |WHERE CASE WHEN (name = 'Legolas') THEN
+          | CASE WHEN (name = 'Elf') THEN 'Elf' ELSE 'Wizard' END
+          | ELSE 'Sauron' END = name
+          |""".stripMargin
+    )
+
+    // scalastyle:off
+    assert(getExternalEngineQuery(df.queryExecution.executedPlan) ==
+      """SELECT  "dept","name","salary","bonus" FROM "employee"  WHERE ("name" IS NOT NULL) AND ((CASE WHEN "name" = 'Legolas' THEN CASE WHEN "name" = 'Elf' THEN 'Elf' ELSE 'Wizard' END ELSE 'Sauron' END) = "name")  """
+    )
+    // scalastyle:on
+    df.collect()
+  }
 }
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
index e170951bfa284..193ffee003a3d 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/connector/util/V2ExpressionSQLBuilder.java
@@ -290,7 +290,7 @@ protected String visitContains(String l, String r) {
     return l + " LIKE '%" + escapeSpecialCharsForLikePattern(value) + "%' ESCAPE '\\'";
   }
 
-  private String inputToSQL(Expression input) {
+  protected String inputToSQL(Expression input) {
     if (input.children().length > 1) {
       return "(" + build(input) + ")";
     } else {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
index c7bca751e56e4..bbd5bace76b6c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala
@@ -189,8 +189,8 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
     case _: BitwiseNot => generateExpressionWithName("~", expr, isPredicate)
     case caseWhen @ CaseWhen(branches, elseValue) =>
       val conditions = branches.map(_._1).flatMap(generateExpression(_, true))
-      val values = branches.map(_._2).flatMap(generateExpression(_))
-      val elseExprOpt = elseValue.flatMap(generateExpression(_))
+      val values = branches.map(_._2).flatMap(generateExpression(_, isPredicate))
+      val elseExprOpt = elseValue.flatMap(generateExpression(_, isPredicate))
       if (conditions.length == branches.length && values.length == branches.length &&
           elseExprOpt.size == elseValue.size) {
         val branchExpressions = conditions.zip(values).flatMap { case (c, v) =>
@@ -356,7 +356,7 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
       children: Seq[Expression],
       dataType: DataType,
       isPredicate: Boolean): Option[V2Expression] = {
-    val childrenExpressions = children.flatMap(generateExpression(_))
+    val childrenExpressions = children.flatMap(generateExpression(_, isPredicate))
     if (childrenExpressions.length == children.length) {
       if (isPredicate && dataType.isInstanceOf[BooleanType]) {
         Some(new V2Predicate(v2ExpressionName, childrenExpressions.toArray[V2Expression]))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
index e241951abe392..2bb2a3a1f67a0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
@@ -157,7 +157,7 @@ object JDBCRDD extends Logging {
  * Both the driver code and the workers must be able to access the database; the driver
  * needs to fetch the schema while the workers need to fetch the data.
  */
-private[jdbc] class JDBCRDD(
+class JDBCRDD(
     sc: SparkContext,
     getConnection: Int => Connection,
     schema: StructType,
@@ -173,11 +173,40 @@ private[jdbc] class JDBCRDD(
     offset: Int)
   extends RDD[InternalRow](sc, Nil) {
 
+  private lazy val dialect = JdbcDialects.get(url)
+
+  def generateJdbcQuery(partition: Option[JDBCPartition]): String = {
+    // H2's JDBC driver does not support the setSchema() method.  We pass a
+    // fully-qualified table name in the SELECT statement.  I don't know how to
+    // talk about a table in a completely portable way.
+    var builder = dialect
+      .getJdbcSQLQueryBuilder(options)
+      .withPredicates(predicates, partition.getOrElse(JDBCPartition(whereClause = null, idx = 1)))
+      .withColumns(columns)
+      .withSortOrders(sortOrders)
+      .withLimit(limit)
+      .withOffset(offset)
+
+    groupByColumns.foreach { groupByKeys =>
+      builder = builder.withGroupByColumns(groupByKeys)
+    }
+
+    sample.foreach { tableSampleInfo =>
+      builder = builder.withTableSample(tableSampleInfo)
+    }
+
+    builder.build()
+  }
+
   /**
    * Retrieve the list of partitions corresponding to this RDD.
    */
   override def getPartitions: Array[Partition] = partitions
 
+  def getExternalEngineQuery: String = {
+    generateJdbcQuery(partition = None)
+  }
+
   /**
    * Runs the SQL query against the JDBC driver.
    *
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index ae8d89f0f0469..90fc48ff5276f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -38,6 +38,7 @@ import org.apache.spark.sql.connector.catalog.functions.UnboundFunction
 import org.apache.spark.sql.connector.catalog.index.TableIndex
 import org.apache.spark.sql.connector.expressions.{Expression, Literal, NamedReference}
 import org.apache.spark.sql.connector.expressions.aggregate.AggregateFunc
+import org.apache.spark.sql.connector.expressions.filter.Predicate
 import org.apache.spark.sql.connector.util.V2ExpressionSQLBuilder
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.execution.datasources.jdbc.{DriverRegistry, JDBCOptions, JdbcOptionsInWrite, JdbcUtils}
@@ -279,6 +280,18 @@ abstract class JdbcDialect extends Serializable with Logging {
   }
 
   private[jdbc] class JDBCSQLBuilder extends V2ExpressionSQLBuilder {
+    // Some dialects do not support boolean type and this convenient util function is
+    // provided to generate SQL string without boolean values.
+    protected def inputToSQLNoBool(input: Expression): String = input match {
+      case p: Predicate if p.name() == "ALWAYS_TRUE" => "1"
+      case p: Predicate if p.name() == "ALWAYS_FALSE" => "0"
+      case p: Predicate => predicateToIntSQL(inputToSQL(p))
+      case _ => super.inputToSQL(input)
+    }
+
+    protected def predicateToIntSQL(input: String): String =
+      "CASE WHEN " + input + " THEN 1 ELSE 0 END"
+
     override def visitLiteral(literal: Literal[_]): String = {
       Option(literal.value()).map(v =>
         compileValue(CatalystTypeConverters.convertToScala(v, literal.dataType())).toString)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
index 3022bca87a9f9..f7c9cdad2a43c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MsSqlServerDialect.scala
@@ -66,6 +66,8 @@ private object MsSqlServerDialect extends JdbcDialect {
     supportedFunctions.contains(funcName)
 
   class MsSqlServerSQLBuilder extends JDBCSQLBuilder {
+    override protected def predicateToIntSQL(input: String): String =
+      "IIF(" + input + ", 1, 0)"
     override def visitSortOrder(
         sortKey: String, sortDirection: SortDirection, nullOrdering: NullOrdering): String = {
       (sortDirection, nullOrdering) match {
@@ -93,9 +95,25 @@ private object MsSqlServerDialect extends JdbcDialect {
       // We shouldn't propagate these queries to MsSqlServer
       expr match {
         case e: Predicate => e.name() match {
-          case "=" | "<>" | "<=>" | "<" | "<=" | ">" | ">="
-              if e.children().exists(_.isInstanceOf[Predicate]) =>
-            super.visitUnexpectedExpr(expr)
+          case "=" | "<>" | "<=>" | "<" | "<=" | ">" | ">=" =>
+            val Array(l, r) = e.children().map(inputToSQLNoBool)
+            visitBinaryComparison(e.name(), l, r)
+          case "CASE_WHEN" =>
+            // Since MsSqlServer cannot handle boolean expressions inside
+            // a CASE WHEN, it is necessary to convert those to another
+            // CASE WHEN expression that will return 1 or 0 depending on
+            // the result.
+            // Example:
+            // In:  ... CASE WHEN a = b THEN c = d ... END
+            // Out: ... CASE WHEN a = b THEN CASE WHEN c = d THEN 1 ELSE 0 END ... END = 1
+            val stringArray = e.children().grouped(2).flatMap {
+              case Array(whenExpression, thenExpression) =>
+                Array(inputToSQL(whenExpression), inputToSQLNoBool(thenExpression))
+              case Array(elseExpression) =>
+                Array(inputToSQLNoBool(elseExpression))
+            }.toArray
+
+            visitCaseWhen(stringArray) + " = 1"
           case _ => super.build(expr)
         }
         case _ => super.build(expr)

From 92e650c9ccab7a5f4aa25af2d6c0d6052dfe576b Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Thu, 12 Dec 2024 20:47:18 +0800
Subject: [PATCH 930/986] [SPARK-50545][CORE][SQL][3.5]
 `AccessControlException` should be thrown even if `ignoreCorruptFiles` is
 enabled

Cherry-pick https://github.com/apache/spark/issues/49143 to branch-3.5

### What changes were proposed in this pull request?

`AccessControlException` extends `IOException` but we should not treat it as a data corruption issue.

This is similar to SPARK-50483 which handles `BlockMissingException` in the same way.

```
2024-12-11 06:29:05 WARN HadoopRDD: Skipped the rest content in the corrupted file: hdfs://hadoop-master1.orb.local:8020/warehouse/region/part-00000-2dc8a6f6-8cea-4652-8ba1-762c1b65e2b4-c000:192+192
org.apache.hadoop.security.AccessControlException: Permission denied: user=hive, access=READ, inode="/warehouse/region/part-00000-2dc8a6f6-8cea-4652-8ba1-762c1b65e2b4-c000":kyuubi.hadoop:hadoop:-rw-------
	at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:506)
```
<img width="1462" alt="image" src="https://github.com/user-attachments/assets/d3a64578-90c6-49bb-b92f-7c5c71451a9b">

### Why are the changes needed?

Avoid data issue if `ignoreCorruptFiles` is enabled when `AccessControlException` occurred.

### Does this PR introduce _any_ user-facing change?

Yes.

### How was this patch tested?

Manual test.

Task fails with `org.apache.hadoop.security.AccessControlException` even with `spark.sql.files.ignoreCorruptFiles=true` and `spark.files.ignoreCorruptFiles=true` <img width="1477" alt="image" src="https://github.com/user-attachments/assets/373ad5fc-15f5-486f-aba3-53b7f7af3b13">

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49162 from pan3793/SPARK-50545-3.5.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala     | 5 +++--
 core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala  | 5 +++--
 .../apache/spark/sql/execution/datasources/FileScanRDD.scala | 3 ++-
 .../sql/execution/datasources/v2/FilePartitionReader.scala   | 5 +++--
 4 files changed, 11 insertions(+), 7 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
index edd07a2649dbb..8aa7d54fd61b9 100644
--- a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
@@ -31,6 +31,7 @@ import org.apache.hadoop.mapred._
 import org.apache.hadoop.mapred.lib.CombineFileSplit
 import org.apache.hadoop.mapreduce.TaskType
 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
+import org.apache.hadoop.security.AccessControlException
 import org.apache.hadoop.util.ReflectionUtils
 
 import org.apache.spark._
@@ -294,7 +295,7 @@ class HadoopRDD[K, V](
             null
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
-          case e: BlockMissingException => throw e
+          case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(s"Skipped the rest content in the corrupted file: ${split.inputSplit}", e)
             finished = true
@@ -320,7 +321,7 @@ class HadoopRDD[K, V](
             finished = true
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
-          case e: BlockMissingException => throw e
+          case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(s"Skipped the rest content in the corrupted file: ${split.inputSplit}", e)
             finished = true
diff --git a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
index fbd2235aabaf6..7fc93806998bf 100644
--- a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
@@ -32,6 +32,7 @@ import org.apache.hadoop.mapred.JobConf
 import org.apache.hadoop.mapreduce._
 import org.apache.hadoop.mapreduce.lib.input.{CombineFileSplit, FileInputFormat, FileSplit, InvalidInputException}
 import org.apache.hadoop.mapreduce.task.{JobContextImpl, TaskAttemptContextImpl}
+import org.apache.hadoop.security.AccessControlException
 
 import org.apache.spark._
 import org.apache.spark.annotation.DeveloperApi
@@ -228,7 +229,7 @@ class NewHadoopRDD[K, V](
             null
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles => throw e
-          case e: BlockMissingException => throw e
+          case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
           case e: IOException if ignoreCorruptFiles =>
             logWarning(
               s"Skipped the rest content in the corrupted file: ${split.serializableHadoopSplit}",
@@ -257,7 +258,7 @@ class NewHadoopRDD[K, V](
               finished = true
             // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
             case e: FileNotFoundException if !ignoreMissingFiles => throw e
-            case e: BlockMissingException => throw e
+            case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
             case e: IOException if ignoreCorruptFiles =>
               logWarning(
                 s"Skipped the rest content in the corrupted file: ${split.serializableHadoopSplit}",
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
index ce56fc1b28296..8f6f981ec6a73 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
@@ -24,6 +24,7 @@ import scala.util.control.NonFatal
 
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.hdfs.BlockMissingException
+import org.apache.hadoop.security.AccessControlException
 
 import org.apache.spark.{Partition => RDDPartition, SparkUpgradeException, TaskContext}
 import org.apache.spark.deploy.SparkHadoopUtil
@@ -260,7 +261,7 @@ class FileScanRDD(
                     null
                   // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
                   case e: FileNotFoundException if !ignoreMissingFiles => throw e
-                  case e: BlockMissingException => throw e
+                  case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
                   case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
                     logWarning(
                       s"Skipped the rest of the content in the corrupted file: $currentFile", e)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
index 8f51226dcfe99..6a63d8268c3b0 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FilePartitionReader.scala
@@ -21,6 +21,7 @@ import java.io.{FileNotFoundException, IOException}
 import scala.util.control.NonFatal
 
 import org.apache.hadoop.hdfs.BlockMissingException
+import org.apache.hadoop.security.AccessControlException
 
 import org.apache.spark.SparkUpgradeException
 import org.apache.spark.internal.Logging
@@ -51,7 +52,7 @@ class FilePartitionReader[T](
           // Throw FileNotFoundException even if `ignoreCorruptFiles` is true
           case e: FileNotFoundException if !ignoreMissingFiles =>
             throw QueryExecutionErrors.fileNotFoundError(e)
-          case e: BlockMissingException => throw e
+          case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
           case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
             logWarning(
               s"Skipped the rest of the content in the corrupted file.", e)
@@ -71,7 +72,7 @@ class FilePartitionReader[T](
         throw QueryExecutionErrors.unsupportedSchemaColumnConvertError(
           currentReader.file.urlEncodedPath,
           e.getColumn, e.getLogicalType, e.getPhysicalType, e)
-      case e: BlockMissingException => throw e
+      case e @ (_ : AccessControlException | _ : BlockMissingException) => throw e
       case e @ (_: RuntimeException | _: IOException) if ignoreCorruptFiles =>
         logWarning(
           s"Skipped the rest of the content in the corrupted file: $currentReader", e)

From 91af6f9c16f773bdf84dce678eb6ab7b6acb90fd Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Mon, 16 Dec 2024 01:34:44 +0000
Subject: [PATCH 931/986] Preparing Spark release v3.5.4-rc2

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 5eca59375425e..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.5
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ee2e7b48871ee..47b38621d6400 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index a5ac18252d9c9..3757f69e9bd17 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index c3f33905ae20c..83243d183b7b9 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index de0af6da6c9ec..e74fb05beb0ae 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 54edc410aa9cc..13c4b5cca1e32 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 88ae8e2715a04..709bbed0c553c 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index adeab180901c6..59e9973c42d05 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 0518930d7eb5b..e222499eec228 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index fc15de78ed505..7b2a1ad57b0ff 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8d78204ddce30..1a6fe528b9168 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index c220ce4d032e5..695146d7a1113 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 8fd5820c35c71..6c50469717f95 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 747c56d148ebb..aeadbacb7c692 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 878bd4590b50f..435c0fbd797aa 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 119761501dad9..8b6d7d47b0392 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 51ab703585beb..dce1990f1c9d0 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 7e1c6ebac9a7f..5973b9595db8a 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 5014e1a1494ce..54ba2b22093d0 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 65d86f5617b1c..5e0c0fcafc12b 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 47495110bf7d8..65b0fa33db29f 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 3f417fba4b021..95be9ab74f105 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 47db5eb9253e8..62f1c4ab2b124 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index ed5c82d28ca68..e59066e19850d 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 969b61fa00363..a207cc2d911b5 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.5-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.5
+SPARK_VERSION: 3.5.4
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.5"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 506aa7836485a..5efc255218570 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index f330d4d1a5377..74ad5a732f054 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 29f47eec8a5c6..cb89c27d5f0ba 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e309c1f734296..e36d57fe6a573 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index f8a3cf1cc16df..26e9a1502abab 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 1fa3e215977d9..079ce72d5d959 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 0ccb6ac76a9bc..8dc47f391f967 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.5-SNAPSHOT</version>
+  <version>3.5.4</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index df09fc3284fbd..db20a2ffae586 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.5.dev0"
+__version__: str = "3.5.4"
diff --git a/repl/pom.xml b/repl/pom.xml
index e3f52f07cc4d7..3f8c931a60664 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e4d890a930a2a..5991f1848ccf8 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 85a125ddfe4b7..8ec4e86ab8f12 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 118f0034ddf5a..9ace7e29de0a0 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4c85e90c4e485..f0df0ff0ea2f4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1613c3218649b..c180a208bf093 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e7736c95007ad..58a2333b5b5a0 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 889fba8892568..9577de81c2057 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 110f9e168de6b..6c86bc35a89d7 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 8fc5d81ab8982..be3c952e4131b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index e3002680f2173..21d2981fe1088 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3530297bf8f83..7e5724b5d9dd3 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From a764524c8ae49f0125ff868f96dd6fc751af0ede Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Mon, 16 Dec 2024 01:34:51 +0000
Subject: [PATCH 932/986] Preparing development version 3.5.5-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..5eca59375425e 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.5
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 47b38621d6400..ee2e7b48871ee 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 3757f69e9bd17..a5ac18252d9c9 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 83243d183b7b9..c3f33905ae20c 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index e74fb05beb0ae..de0af6da6c9ec 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 13c4b5cca1e32..54edc410aa9cc 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 709bbed0c553c..88ae8e2715a04 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 59e9973c42d05..adeab180901c6 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index e222499eec228..0518930d7eb5b 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7b2a1ad57b0ff..fc15de78ed505 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 1a6fe528b9168..8d78204ddce30 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 695146d7a1113..c220ce4d032e5 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6c50469717f95..8fd5820c35c71 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index aeadbacb7c692..747c56d148ebb 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 435c0fbd797aa..878bd4590b50f 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 8b6d7d47b0392..119761501dad9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index dce1990f1c9d0..51ab703585beb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 5973b9595db8a..7e1c6ebac9a7f 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 54ba2b22093d0..5014e1a1494ce 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5e0c0fcafc12b..65d86f5617b1c 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 65b0fa33db29f..47495110bf7d8 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 95be9ab74f105..3f417fba4b021 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 62f1c4ab2b124..47db5eb9253e8 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index e59066e19850d..ed5c82d28ca68 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index a207cc2d911b5..969b61fa00363 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.5-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.5
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.5"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 5efc255218570..506aa7836485a 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 74ad5a732f054..f330d4d1a5377 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index cb89c27d5f0ba..29f47eec8a5c6 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e36d57fe6a573..e309c1f734296 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 26e9a1502abab..f8a3cf1cc16df 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 079ce72d5d959..1fa3e215977d9 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8dc47f391f967..0ccb6ac76a9bc 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4</version>
+  <version>3.5.5-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index db20a2ffae586..df09fc3284fbd 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4"
+__version__: str = "3.5.5.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 3f8c931a60664..e3f52f07cc4d7 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 5991f1848ccf8..e4d890a930a2a 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 8ec4e86ab8f12..85a125ddfe4b7 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 9ace7e29de0a0..118f0034ddf5a 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index f0df0ff0ea2f4..4c85e90c4e485 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index c180a208bf093..1613c3218649b 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 58a2333b5b5a0..e7736c95007ad 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 9577de81c2057..889fba8892568 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 6c86bc35a89d7..110f9e168de6b 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index be3c952e4131b..8fc5d81ab8982 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 21d2981fe1088..e3002680f2173 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 7e5724b5d9dd3..3530297bf8f83 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 8168ea8548a4935a0506edcadc601850096a10ab Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Tue, 3 Dec 2024 15:37:43 +0900
Subject: [PATCH 933/986] [SPARK-50430][CORE][FOLLOW-UP] Keep the logic of
 manual putting key and values in Properties

This PR proposes to actually more conservatively preserve the original code of creating new properties instead of cloning.

Previous codes only copied the key and values but `clone` actually copies more fields in `Properties`. `cloneProperties` is being used in Spark Core, and all other components so I propose to keep the logic as is.

This is more a fix of a potential bug.

No, it is difficult to add a test.

No.

Closes #49036 from HyukjinKwon/SPARK-50430-followup.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 4abaab3ffeba5a3d39216e7224928bb82b254e22)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 8762f0a6cdbc3..a33bb33ea9c0f 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2982,7 +2982,9 @@ private[spark] object Utils
     if (props == null) {
       return props
     }
-    props.clone().asInstanceOf[Properties]
+    val resultProps = new Properties()
+    resultProps.putAll(props.clone().asInstanceOf[Properties])
+    resultProps
   }
 
   /**

From 0fbe292774a856ae49c436e9eb83441e9c38f7de Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 16 Dec 2024 14:06:38 +0900
Subject: [PATCH 934/986] Revert "[SPARK-50430][CORE][FOLLOW-UP] Keep the logic
 of manual putting key and values in Properties"

This reverts commit 8168ea8548a4935a0506edcadc601850096a10ab.
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index a33bb33ea9c0f..8762f0a6cdbc3 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2982,9 +2982,7 @@ private[spark] object Utils
     if (props == null) {
       return props
     }
-    val resultProps = new Properties()
-    resultProps.putAll(props.clone().asInstanceOf[Properties])
-    resultProps
+    props.clone().asInstanceOf[Properties]
   }
 
   /**

From f7c48fe24fd8fb5f7f3eb9b3bec2659d99e4307c Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 16 Dec 2024 14:06:45 +0900
Subject: [PATCH 935/986] Revert "[SPARK-50430][CORE] Use the standard
 Properties.clone instead of manual clone"

This reverts commit 5ff129ac8261c674b90545f3e1651e166dbc6249.
---
 core/src/main/scala/org/apache/spark/util/Utils.scala | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/core/src/main/scala/org/apache/spark/util/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index 8762f0a6cdbc3..3b0efffedec6f 100644
--- a/core/src/main/scala/org/apache/spark/util/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -2982,7 +2982,9 @@ private[spark] object Utils
     if (props == null) {
       return props
     }
-    props.clone().asInstanceOf[Properties]
+    val resultProps = new Properties()
+    props.forEach((k, v) => resultProps.put(k, v))
+    resultProps
   }
 
   /**

From b0a7d4d4c5be46282aa9be3a08754c201f38fc2e Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Mon, 16 Dec 2024 20:30:26 +0800
Subject: [PATCH 936/986] [SPARK-50587][INFRA][3.5] Remove unsupported `curl`
 option `--retry-all-errors` from `release-build.sh`

### What changes were proposed in this pull request?
This pr aims to remove unsupported `curl` option `--retry-all-errors` from branch-3.5's `release-build.sh`

### Why are the changes needed?
branch-3.5 uses Ubuntu 20.04 for release, and the `curl` installed via `apt-get install` on Ubuntu 20.04 does not yet support `--retry-all-errors`.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Manual tested

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49201 from LuciferYang/SPARK-50587.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>
---
 dev/create-release/release-build.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev/create-release/release-build.sh b/dev/create-release/release-build.sh
index 3546e721edbd2..7728e84bf9066 100755
--- a/dev/create-release/release-build.sh
+++ b/dev/create-release/release-build.sh
@@ -505,7 +505,7 @@ if [[ "$1" == "publish-release" ]]; then
       file_short=$(echo $file | sed -e "s/\.\///")
       dest_url="$nexus_upload/org/apache/spark/$file_short"
       echo "  Uploading $file_short"
-      curl --retry 3 --retry-all-errors -u $ASF_USERNAME:$ASF_PASSWORD --upload-file $file_short $dest_url
+      curl --retry 3 -u $ASF_USERNAME:$ASF_PASSWORD --upload-file $file_short $dest_url
     done
 
     echo "Closing nexus staging repository"

From a6f220d951742f4074b37772485ee0ec7a774e7d Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Tue, 17 Dec 2024 04:09:53 +0000
Subject: [PATCH 937/986] Preparing Spark release v3.5.4-rc3

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 5eca59375425e..8657755b8d0ea 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.5
+Version: 3.5.4
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index ee2e7b48871ee..47b38621d6400 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index a5ac18252d9c9..3757f69e9bd17 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index c3f33905ae20c..83243d183b7b9 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index de0af6da6c9ec..e74fb05beb0ae 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 54edc410aa9cc..13c4b5cca1e32 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 88ae8e2715a04..709bbed0c553c 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index adeab180901c6..59e9973c42d05 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 0518930d7eb5b..e222499eec228 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index fc15de78ed505..7b2a1ad57b0ff 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8d78204ddce30..1a6fe528b9168 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index c220ce4d032e5..695146d7a1113 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 8fd5820c35c71..6c50469717f95 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 747c56d148ebb..aeadbacb7c692 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 878bd4590b50f..435c0fbd797aa 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 119761501dad9..8b6d7d47b0392 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 51ab703585beb..dce1990f1c9d0 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 7e1c6ebac9a7f..5973b9595db8a 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 5014e1a1494ce..54ba2b22093d0 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 65d86f5617b1c..5e0c0fcafc12b 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 47495110bf7d8..65b0fa33db29f 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 3f417fba4b021..95be9ab74f105 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 47db5eb9253e8..62f1c4ab2b124 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index ed5c82d28ca68..e59066e19850d 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 969b61fa00363..a207cc2d911b5 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.5-SNAPSHOT
-SPARK_VERSION_SHORT: 3.5.5
+SPARK_VERSION: 3.5.4
+SPARK_VERSION_SHORT: 3.5.4
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.5"]
+        'facetFilters': ["version:3.5.4"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 506aa7836485a..5efc255218570 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index f330d4d1a5377..74ad5a732f054 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 29f47eec8a5c6..cb89c27d5f0ba 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e309c1f734296..e36d57fe6a573 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index f8a3cf1cc16df..26e9a1502abab 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 1fa3e215977d9..079ce72d5d959 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 0ccb6ac76a9bc..8dc47f391f967 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.5-SNAPSHOT</version>
+  <version>3.5.4</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index df09fc3284fbd..db20a2ffae586 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.5.dev0"
+__version__: str = "3.5.4"
diff --git a/repl/pom.xml b/repl/pom.xml
index e3f52f07cc4d7..3f8c931a60664 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e4d890a930a2a..5991f1848ccf8 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 85a125ddfe4b7..8ec4e86ab8f12 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 118f0034ddf5a..9ace7e29de0a0 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4c85e90c4e485..f0df0ff0ea2f4 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1613c3218649b..c180a208bf093 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.4</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e7736c95007ad..58a2333b5b5a0 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 889fba8892568..9577de81c2057 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 110f9e168de6b..6c86bc35a89d7 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 8fc5d81ab8982..be3c952e4131b 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index e3002680f2173..21d2981fe1088 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3530297bf8f83..7e5724b5d9dd3 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.4</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From bcaa5a99ab35bdcf51da130a26d998dafc2f3a64 Mon Sep 17 00:00:00 2001
From: Jie Yang <yangjie01@apache.org>
Date: Tue, 17 Dec 2024 04:09:59 +0000
Subject: [PATCH 938/986] Preparing development version 3.5.5-SNAPSHOT

---
 R/pkg/DESCRIPTION                                      | 2 +-
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 6 +++---
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 45 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 8657755b8d0ea..5eca59375425e 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: SparkR
 Type: Package
-Version: 3.5.4
+Version: 3.5.5
 Title: R Front End for 'Apache Spark'
 Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
 Authors@R:
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 47b38621d6400..ee2e7b48871ee 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index 3757f69e9bd17..a5ac18252d9c9 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index 83243d183b7b9..c3f33905ae20c 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index e74fb05beb0ae..de0af6da6c9ec 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 13c4b5cca1e32..54edc410aa9cc 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 709bbed0c553c..88ae8e2715a04 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index 59e9973c42d05..adeab180901c6 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index e222499eec228..0518930d7eb5b 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index 7b2a1ad57b0ff..fc15de78ed505 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 1a6fe528b9168..8d78204ddce30 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index 695146d7a1113..c220ce4d032e5 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 6c50469717f95..8fd5820c35c71 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index aeadbacb7c692..747c56d148ebb 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 435c0fbd797aa..878bd4590b50f 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 8b6d7d47b0392..119761501dad9 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index dce1990f1c9d0..51ab703585beb 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 5973b9595db8a..7e1c6ebac9a7f 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 54ba2b22093d0..5014e1a1494ce 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 5e0c0fcafc12b..65d86f5617b1c 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 65b0fa33db29f..47495110bf7d8 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 95be9ab74f105..3f417fba4b021 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 62f1c4ab2b124..47db5eb9253e8 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index e59066e19850d..ed5c82d28ca68 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index a207cc2d911b5..969b61fa00363 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,8 +19,8 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.4
-SPARK_VERSION_SHORT: 3.5.4
+SPARK_VERSION: 3.5.5-SNAPSHOT
+SPARK_VERSION_SHORT: 3.5.5
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
 MESOS_VERSION: 1.0.0
@@ -40,7 +40,7 @@ DOCSEARCH_SCRIPT: |
       inputSelector: '#docsearch-input',
       enhancedSearchInput: true,
       algoliaOptions: {
-        'facetFilters': ["version:3.5.4"]
+        'facetFilters': ["version:3.5.5"]
       },
       debug: false // Set debug to true if you want to inspect the dropdown
   });
diff --git a/examples/pom.xml b/examples/pom.xml
index 5efc255218570..506aa7836485a 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index 74ad5a732f054..f330d4d1a5377 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index cb89c27d5f0ba..29f47eec8a5c6 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e36d57fe6a573..e309c1f734296 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index 26e9a1502abab..f8a3cf1cc16df 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 079ce72d5d959..1fa3e215977d9 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 8dc47f391f967..0ccb6ac76a9bc 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.4</version>
+  <version>3.5.5-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index db20a2ffae586..df09fc3284fbd 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.4"
+__version__: str = "3.5.5.dev0"
diff --git a/repl/pom.xml b/repl/pom.xml
index 3f8c931a60664..e3f52f07cc4d7 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index 5991f1848ccf8..e4d890a930a2a 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 8ec4e86ab8f12..85a125ddfe4b7 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 9ace7e29de0a0..118f0034ddf5a 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index f0df0ff0ea2f4..4c85e90c4e485 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index c180a208bf093..1613c3218649b 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.4</version>
+        <version>3.5.5-SNAPSHOT</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index 58a2333b5b5a0..e7736c95007ad 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 9577de81c2057..889fba8892568 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 6c86bc35a89d7..110f9e168de6b 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index be3c952e4131b..8fc5d81ab8982 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 21d2981fe1088..e3002680f2173 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 7e5724b5d9dd3..3530297bf8f83 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.4</version>
+    <version>3.5.5-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 45349b652e2d6c24b4f5eef1f6118389c0d68ed8 Mon Sep 17 00:00:00 2001
From: changgyoopark-db <changgyoo.park@databricks.com>
Date: Tue, 17 Dec 2024 20:12:22 +0900
Subject: [PATCH 939/986] [SPARK-50510][CONNECT][TEST][3.5] Fix flaky
 ReattachableExecuteSuite

### What changes were proposed in this pull request?

Simplify org.apache.spark.sql.connect.execution.ReattachableExecuteSuite."reattach after connection expired" to make it more deterministic.

### Why are the changes needed?

The test previously involved execution and interruption that made the test unnecessarily flaky, e.g., an exception was thrown when releasing the corresponding [execution](https://github.com/apache/spark/actions/runs/12296721038/job/34316344940), not when reattaching the execution.
- The test's sole purpose is to check whether the lack of 'session' results in the correct error code.
- The involvement of actual query execution only makes the test flaky and complicated.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Repeatedly ran testOnly org.apache.spark.sql.connect.execution.ReattachableExecuteSuite.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49203 from changgyoopark-db/SPARK-50510.

Authored-by: changgyoopark-db <changgyoo.park@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 .../execution/ReattachableExecuteSuite.scala      | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
index f828e45e6a6c8..00de9fb6fd260 100644
--- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/execution/ReattachableExecuteSuite.scala
@@ -58,18 +58,15 @@ class ReattachableExecuteSuite extends SparkConnectServerTest {
 
   test("reattach after connection expired") {
     withClient { client =>
-      val iter = client.execute(buildPlan(MEDIUM_RESULTS_QUERY))
-      val operationId = getReattachableIterator(iter).operationId
-      // open the iterator
-      iter.next()
-
-      SparkConnectService.invalidateSession(defaultUserId, defaultSessionId)
       withRawBlockingStub { stub =>
-        val iter2 = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
+        // emulate session expiration
+        SparkConnectService.invalidateSession(defaultUserId, defaultSessionId)
 
-        // session closed, bound to fail
+        // session closed, bound to fail immediately
+        val operationId = UUID.randomUUID().toString
+        val iter = stub.reattachExecute(buildReattachExecuteRequest(operationId, None))
         val e = intercept[StatusRuntimeException] {
-          while (iter2.hasNext) iter2.next()
+          iter.next()
         }
         assert(e.getMessage.contains("INVALID_HANDLE.SESSION_NOT_FOUND"))
       }

From a3d23fdb775bee3f03c52a77b80bc0c724108e20 Mon Sep 17 00:00:00 2001
From: Neil Ramaswamy <neil.ramaswamy@databricks.com>
Date: Wed, 18 Dec 2024 15:45:36 +0900
Subject: [PATCH 940/986] [MINOR][SS] Minor update to watermark propagation
 comments

### What changes were proposed in this pull request?

A few minor changes to clarify (and fix one typo) in the comments for watermark propagation in Structured Streaming.

### Why are the changes needed?

I found some of the terminology around "simulation" confusing, and the current comment describes incorrect logic for output watermark calculation.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

N/A.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49188 from neilramaswamy/nr/minor-wm-prop.

Authored-by: Neil Ramaswamy <neil.ramaswamy@databricks.com>
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
(cherry picked from commit 2b41131d7fa66ef5b23fbe247e057d631ee5e4f6)
Signed-off-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
---
 .../sql/execution/streaming/WatermarkPropagator.scala     | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/WatermarkPropagator.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/WatermarkPropagator.scala
index 6f3725bebb9ab..3d9325f9c98c5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/WatermarkPropagator.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/WatermarkPropagator.scala
@@ -124,12 +124,14 @@ class UseSingleWatermarkPropagator extends WatermarkPropagator {
 /**
  * This implementation simulates propagation of watermark among operators.
  *
- * The simulation algorithm traverses the physical plan tree via post-order (children first) to
- * calculate (input watermark, output watermark) for all nodes.
+ * It is considered a "simulation" because watermarks are not being physically sent between
+ * operators, but rather propagated up the tree via post-order (children first) traversal of
+ * the query plan. This allows Structured Streaming to determine the new (input watermark, output
+ * watermark) for all nodes.
  *
  * For each node, below logic is applied:
  *
- * - Input watermark for specific node is decided by `min(input watermarks from all children)`.
+ * - Input watermark for specific node is decided by `min(output watermarks from all children)`.
  *   -- Children providing no input watermark (DEFAULT_WATERMARK_MS) are excluded.
  *   -- If there is no valid input watermark from children, input watermark = DEFAULT_WATERMARK_MS.
  * - Output watermark for specific node is decided as following:

From 5a91172c019c119e686f8221bbdb31f59d3d7776 Mon Sep 17 00:00:00 2001
From: Cheng Pan <chengpan@apache.org>
Date: Mon, 23 Dec 2024 09:05:56 +0900
Subject: [PATCH 941/986] [SPARK-50483][SPARK-50545][DOC][FOLLOWUP][3.5]
 Mention behavior changes in migration guide

Backport https://github.com/apache/spark/pull/49252 to branch-3.5

### What changes were proposed in this pull request?

Update migration guide for SPARK-50483 and SPARK-50545

### Why are the changes needed?

Mention behavior changes in migration guide

### Does this PR introduce _any_ user-facing change?

Yes, docs are updated.

### How was this patch tested?

Review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49256 from pan3793/SPARK-50483-SPARK-50545-followup-3.5.

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 docs/core-migration-guide.md | 4 ++++
 docs/sql-migration-guide.md  | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/docs/core-migration-guide.md b/docs/core-migration-guide.md
index 36465cc3f4e86..9381b28c8b078 100644
--- a/docs/core-migration-guide.md
+++ b/docs/core-migration-guide.md
@@ -22,6 +22,10 @@ license: |
 * Table of contents
 {:toc}
 
+## Upgrading from Core 3.5.3 to 3.5.4
+
+- Since Spark 3.5.4, when reading files hits `org.apache.hadoop.security.AccessControlException` and `org.apache.hadoop.hdfs.BlockMissingException`, the exception will be thrown and fail the task, even if `spark.files.ignoreCorruptFiles` is set to `true`.
+
 ## Upgrading from Core 3.4 to 3.5
 
 - Since Spark 3.5, `spark.yarn.executor.failuresValidityInterval` is deprecated. Use `spark.executor.failuresValidityInterval` instead.
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 0f3adbdafeaf9..be4e92ec4df43 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -22,6 +22,10 @@ license: |
 * Table of contents
 {:toc}
 
+## Upgrading from Spark SQL 3.5.3 to 3.5.4
+
+- Since Spark 3.5.4, when reading SQL tables hits `org.apache.hadoop.security.AccessControlException` and `org.apache.hadoop.hdfs.BlockMissingException`, the exception will be thrown and fail the task, even if `spark.sql.files.ignoreCorruptFiles` is set to `true`.
+
 ## Upgrading from Spark SQL 3.5.1 to 3.5.2
 
 - Since 3.5.2, MySQL JDBC datasource will read TINYINT UNSIGNED as ShortType, while in 3.5.1, it was wrongly read as ByteType.

From 19ad7f7135fb2629e9be660d9046361ace191a99 Mon Sep 17 00:00:00 2001
From: Linhong Liu <linhong.liu@databricks.com>
Date: Thu, 9 Jan 2025 12:08:16 +0800
Subject: [PATCH 942/986] [SPARK-50769][SQL] Fix ClassCastException in
 HistogramNumeric

### What changes were proposed in this pull request?
The `HistogramNumeric` accepts `NumberType` but it doesn't properly handle the `DecimalType` in the execution. Therefore, the `ClassCastException` when trying to change a Decimal to Double.

### Why are the changes needed?
bug fix

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
UT
```
 build/sbt "sql/testOnly *SQLQueryTestSuite -- -z group-by.sql"
```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49418 from linhongliu-db/SPARK-50769.

Authored-by: Linhong Liu <linhong.liu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit b84dc909a8856388faddc154c6a1d3aba271474e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../expressions/aggregate/HistogramNumeric.scala       | 10 +++++++++-
 .../sql-tests/analyzer-results/group-by.sql.out        |  9 +++++++++
 .../src/test/resources/sql-tests/inputs/group-by.sql   |  2 ++
 .../test/resources/sql-tests/results/group-by.sql.out  |  9 +++++++++
 4 files changed, 29 insertions(+), 1 deletion(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HistogramNumeric.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HistogramNumeric.scala
index 7b548ab930c1f..9f9e070e4d807 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HistogramNumeric.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HistogramNumeric.scala
@@ -126,7 +126,10 @@ case class HistogramNumeric(
     // Ignore empty rows, for example: histogram_numeric(null)
     if (value != null) {
       // Convert the value to a double value
-      val doubleValue = value.asInstanceOf[Number].doubleValue
+      val doubleValue = value match {
+        case d: Decimal => d.toDouble
+        case o => o.asInstanceOf[Number].doubleValue()
+      }
       buffer.add(doubleValue)
     }
     buffer
@@ -161,6 +164,11 @@ case class HistogramNumeric(
             case ShortType => coord.x.toShort
             case _: DayTimeIntervalType | LongType | TimestampType | TimestampNTZType =>
               coord.x.toLong
+            case d: DecimalType =>
+              val bigDecimal = BigDecimal
+                .decimal(coord.x, new java.math.MathContext(d.precision))
+                .setScale(d.scale, BigDecimal.RoundingMode.HALF_UP)
+              Decimal(bigDecimal)
             case _ => coord.x
           }
           InternalRow.apply(result, coord.y)
diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
index 93c463575dc1a..057cbe9054bcb 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/group-by.sql.out
@@ -1072,6 +1072,15 @@ Aggregate [histogram_numeric(col#xL, 3, 0, 0) AS histogram_numeric(col, 3)#x]
    +- LocalRelation [col#xL]
 
 
+-- !query
+SELECT histogram_numeric(col, 3) FROM VALUES
+  (CAST(1 AS DECIMAL(4, 2))), (CAST(2 AS DECIMAL(4, 2))), (CAST(3 AS DECIMAL(4, 2))) AS tab(col)
+-- !query analysis
+Aggregate [histogram_numeric(col#x, 3, 0, 0) AS histogram_numeric(col, 3)#x]
++- SubqueryAlias tab
+   +- LocalRelation [col#x]
+
+
 -- !query
 SELECT histogram_numeric(col, 3) FROM VALUES (TIMESTAMP '2017-03-01 00:00:00'),
   (TIMESTAMP '2017-04-01 00:00:00'), (TIMESTAMP '2017-05-01 00:00:00') AS tab(col)
diff --git a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
index ce1b422de3196..f8e7d84322951 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/group-by.sql
@@ -221,6 +221,8 @@ SELECT histogram_numeric(col, 3) FROM VALUES
   (CAST(1 AS SMALLINT)), (CAST(2 AS SMALLINT)), (CAST(3 AS SMALLINT)) AS tab(col);
 SELECT histogram_numeric(col, 3) FROM VALUES
   (CAST(1 AS BIGINT)), (CAST(2 AS BIGINT)), (CAST(3 AS BIGINT)) AS tab(col);
+SELECT histogram_numeric(col, 3) FROM VALUES
+  (CAST(1 AS DECIMAL(4, 2))), (CAST(2 AS DECIMAL(4, 2))), (CAST(3 AS DECIMAL(4, 2))) AS tab(col);
 SELECT histogram_numeric(col, 3) FROM VALUES (TIMESTAMP '2017-03-01 00:00:00'),
   (TIMESTAMP '2017-04-01 00:00:00'), (TIMESTAMP '2017-05-01 00:00:00') AS tab(col);
 SELECT histogram_numeric(col, 3) FROM VALUES (INTERVAL '100-00' YEAR TO MONTH),
diff --git a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
index 548917ef79b2d..7c5f775657738 100644
--- a/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/group-by.sql.out
@@ -1005,6 +1005,15 @@ struct<histogram_numeric(col, 3):array<struct<x:bigint,y:double>>>
 [{"x":1,"y":1.0},{"x":2,"y":1.0},{"x":3,"y":1.0}]
 
 
+-- !query
+SELECT histogram_numeric(col, 3) FROM VALUES
+  (CAST(1 AS DECIMAL(4, 2))), (CAST(2 AS DECIMAL(4, 2))), (CAST(3 AS DECIMAL(4, 2))) AS tab(col)
+-- !query schema
+struct<histogram_numeric(col, 3):array<struct<x:decimal(4,2),y:double>>>
+-- !query output
+[{"x":1.00,"y":1.0},{"x":2.00,"y":1.0},{"x":3.00,"y":1.0}]
+
+
 -- !query
 SELECT histogram_numeric(col, 3) FROM VALUES (TIMESTAMP '2017-03-01 00:00:00'),
   (TIMESTAMP '2017-04-01 00:00:00'), (TIMESTAMP '2017-05-01 00:00:00') AS tab(col)

From 5a8483bfe6216c22a036fbcc57d4cf2f3b49ebe7 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 10 Jan 2025 12:13:27 -0800
Subject: [PATCH 943/986] [SPARK-50784][TESTS] Fix `lint-scala` not to ignore
 `scalastyle` errors

### What changes were proposed in this pull request?

This PR aims to fix `lint-scala` script not to ignore `scalastyle` errors.

### Why are the changes needed?

This bug was introduced via the following PR at Apache Spark 3.4.0.
- #38258

After the above PR, `lint-scala` ignores `scalastyle` error and only considers the exit code of `scalafmt` like the following CI result.
- https://github.com/apache/spark/pull/49428#issuecomment-2582935831

![Screenshot 2025-01-10 at 07 14 31](https://github.com/user-attachments/assets/bdaa3be3-5daf-401b-a46f-7c02b7610158)

### Does this PR introduce _any_ user-facing change?

No, this is a dev-only tool change.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49443 from dongjoon-hyun/SPARK-50784.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 9d4b7a5dd44494aa7c19d3f4f83d610530f4e569)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 dev/lint-scala | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/dev/lint-scala b/dev/lint-scala
index 8adac2cecbdbb..e25fc138b92db 100755
--- a/dev/lint-scala
+++ b/dev/lint-scala
@@ -20,8 +20,10 @@
 SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 SPARK_ROOT_DIR="$(dirname $SCRIPT_DIR)"
 
+set -e
 "$SCRIPT_DIR/scalastyle" "$1"
 
+set +e
 # For Spark Connect, we actively enforce scalafmt and check that the produced diff is empty.
 ERRORS=$(./build/mvn \
     -Pscala-2.12 \

From 00b3833a39d939dce1120ce58b51c0e11a88b4ea Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 12 Jan 2025 18:32:52 -0800
Subject: [PATCH 944/986] [SPARK-50797][SQL][TESTS][3.5] Move
 `HiveCharVarcharTestSuite` from `o/a/s/sql` to `o/a/s/sql/hive`

### What changes were proposed in this pull request?

This PR aims to move `HiveCharVarcharTestSuite` from `o/a/s/sql` to `o/a/s/sql/hive`.

### Why are the changes needed?

All source codes of `hive` module should have `org.apache.spark.hive` package prefix.

### Does this PR introduce _any_ user-facing change?

No. This is a test class relocation.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49461 from dongjoon-hyun/SPARK-50797-3.5.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../apache/spark/sql/{ => hive}/HiveCharVarcharTestSuite.scala | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)
 rename sql/hive/src/test/scala/org/apache/spark/sql/{ => hive}/HiveCharVarcharTestSuite.scala (98%)

diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/HiveCharVarcharTestSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveCharVarcharTestSuite.scala
similarity index 98%
rename from sql/hive/src/test/scala/org/apache/spark/sql/HiveCharVarcharTestSuite.scala
rename to sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveCharVarcharTestSuite.scala
index 50f959d275856..e9ee2ce476746 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/HiveCharVarcharTestSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveCharVarcharTestSuite.scala
@@ -15,9 +15,10 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql
+package org.apache.spark.sql.hive
 
 import org.apache.spark.{SparkException, SparkRuntimeException}
+import org.apache.spark.sql.{CharVarcharTestSuite, Row}
 import org.apache.spark.sql.execution.command.CharVarcharDDLTestBase
 import org.apache.spark.sql.hive.test.TestHiveSingleton
 

From 51fb84a54982719209c19136b1d72d2ef44726ee Mon Sep 17 00:00:00 2001
From: Eduard Tudenhoefner <etudenhoefner@gmail.com>
Date: Mon, 13 Jan 2025 16:10:02 +0800
Subject: [PATCH 945/986] [SPARK-50624][SQL] Add TimestampNTZType to
 ColumnarRow/MutableColumnarRow

### What changes were proposed in this pull request?

Noticed that this was missing when using this in Iceberg. See additional details in https://github.com/apache/iceberg/pull/11815#discussion_r1892693224

### Why are the changes needed?

To be able to read `TimestampNTZType` when using `ColumnarRow`

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

Added some unit tests that failed without the fix

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49437 from nastra/SPARK-50624.

Authored-by: Eduard Tudenhoefner <etudenhoefner@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit d7545d0fc0962849f979a29345ac14169688edf0)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/vectorized/ColumnarRow.java     |  2 ++
 .../vectorized/MutableColumnarRow.java        |  4 ++++
 .../vectorized/ColumnVectorSuite.scala        | 19 +++++++++++++++
 .../vectorized/ArrowColumnVectorSuite.scala   | 24 +++++++++++++++++++
 4 files changed, 49 insertions(+)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarRow.java b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarRow.java
index c4fbc2ff64229..fdea42c6ea14a 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarRow.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/vectorized/ColumnarRow.java
@@ -183,6 +183,8 @@ public Object get(int ordinal, DataType dataType) {
       return getInt(ordinal);
     } else if (dataType instanceof TimestampType) {
       return getLong(ordinal);
+    } else if (dataType instanceof TimestampNTZType) {
+      return getLong(ordinal);
     } else if (dataType instanceof ArrayType) {
       return getArray(ordinal);
     } else if (dataType instanceof StructType) {
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/MutableColumnarRow.java b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/MutableColumnarRow.java
index 64568f18f6858..7be68366481b5 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/MutableColumnarRow.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/MutableColumnarRow.java
@@ -80,6 +80,8 @@ public InternalRow copy() {
           row.setInt(i, getInt(i));
         } else if (dt instanceof TimestampType) {
           row.setLong(i, getLong(i));
+        } else if (dt instanceof TimestampNTZType) {
+          row.setLong(i, getLong(i));
         } else if (dt instanceof StructType) {
           row.update(i, getStruct(i, ((StructType) dt).fields().length).copy());
         } else if (dt instanceof ArrayType) {
@@ -185,6 +187,8 @@ public Object get(int ordinal, DataType dataType) {
       return getInt(ordinal);
     } else if (dataType instanceof TimestampType) {
       return getLong(ordinal);
+    } else if (dataType instanceof TimestampNTZType) {
+      return getLong(ordinal);
     } else if (dataType instanceof ArrayType) {
       return getArray(ordinal);
     } else if (dataType instanceof StructType) {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
index a40a416bbb5a1..9591201383e59 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnVectorSuite.scala
@@ -271,6 +271,19 @@ class ColumnVectorSuite extends SparkFunSuite {
     }
   }
 
+  testVectors("mutable ColumnarRow with TimestampNTZType", 10, TimestampNTZType) { testVector =>
+    val mutableRow = new MutableColumnarRow(Array(testVector))
+    (0 until 10).foreach { i =>
+      mutableRow.rowId = i
+      mutableRow.setLong(0, 10 - i)
+    }
+    (0 until 10).foreach { i =>
+      mutableRow.rowId = i
+      assert(mutableRow.get(0, TimestampNTZType) === (10 - i))
+      assert(mutableRow.copy().get(0, TimestampNTZType) === (10 - i))
+    }
+  }
+
   val arrayType: ArrayType = ArrayType(IntegerType, containsNull = true)
   testVectors("array", 10, arrayType) { testVector =>
 
@@ -381,18 +394,24 @@ class ColumnVectorSuite extends SparkFunSuite {
   }
 
   val structType: StructType = new StructType().add("int", IntegerType).add("double", DoubleType)
+    .add("ts", TimestampNTZType)
   testVectors("struct", 10, structType) { testVector =>
     val c1 = testVector.getChild(0)
     val c2 = testVector.getChild(1)
+    val c3 = testVector.getChild(2)
     c1.putInt(0, 123)
     c2.putDouble(0, 3.45)
+    c3.putLong(0, 1000L)
     c1.putInt(1, 456)
     c2.putDouble(1, 5.67)
+    c3.putLong(1, 2000L)
 
     assert(testVector.getStruct(0).get(0, IntegerType) === 123)
     assert(testVector.getStruct(0).get(1, DoubleType) === 3.45)
+    assert(testVector.getStruct(0).get(2, TimestampNTZType) === 1000L)
     assert(testVector.getStruct(1).get(0, IntegerType) === 456)
     assert(testVector.getStruct(1).get(1, DoubleType) === 5.67)
+    assert(testVector.getStruct(1).get(2, TimestampNTZType) === 2000L)
   }
 
   testVectors("SPARK-44805: getInts with dictionary", 3, IntegerType) { testVector =>
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/vectorized/ArrowColumnVectorSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/vectorized/ArrowColumnVectorSuite.scala
index 436cea50ad972..9180ce1aee198 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/vectorized/ArrowColumnVectorSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/vectorized/ArrowColumnVectorSuite.scala
@@ -515,4 +515,28 @@ class ArrowColumnVectorSuite extends SparkFunSuite {
     columnVector.close()
     allocator.close()
   }
+
+  test("struct with TimestampNTZType") {
+    val allocator = ArrowUtils.rootAllocator.newChildAllocator("struct", 0, Long.MaxValue)
+    val schema = new StructType().add("ts", TimestampNTZType)
+    val vector = ArrowUtils.toArrowField("struct", schema, nullable = true, null)
+      .createVector(allocator).asInstanceOf[StructVector]
+    vector.allocateNew()
+    val timestampVector = vector.getChildByOrdinal(0).asInstanceOf[TimeStampMicroVector]
+
+    vector.setIndexDefined(0)
+    timestampVector.setSafe(0, 1000L)
+
+    timestampVector.setValueCount(1)
+    vector.setValueCount(1)
+
+    val columnVector = new ArrowColumnVector(vector)
+    assert(columnVector.dataType === schema)
+
+    val row0 = columnVector.getStruct(0)
+    assert(row0.get(0, TimestampNTZType) === 1000L)
+
+    columnVector.close()
+    allocator.close()
+  }
 }

From 5de80b7f52fb09df67b87a113c914644167a6976 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sat, 18 Jan 2025 22:03:06 -0800
Subject: [PATCH 946/986] [SPARK-50886][BUILD][3.5] Upgrade Avro to 1.11.4

### What changes were proposed in this pull request?

This PR aims to upgrade Avro to 1.11.4.

### Why are the changes needed?

To bring the latest bug fixes like the following.
- https://github.com/apache/avro/releases/tag/release-1.11.3
    - https://github.com/apache/avro/pull/2432
    - https://github.com/apache/avro/pull/2318
    - https://github.com/apache/avro/pull/1720
- https://github.com/apache/avro/releases/tag/release-1.11.4
    - https://github.com/apache/avro/pull/2980

### Does this PR introduce _any_ user-facing change?

Yes, this is a dependency change.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49563 from dongjoon-hyun/SPARK-50886.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../main/scala/org/apache/spark/sql/avro/AvroOptions.scala  | 4 ++--
 dev/deps/spark-deps-hadoop-3-hive-2.3                       | 6 +++---
 docs/sql-data-sources-avro.md                               | 4 ++--
 pom.xml                                                     | 6 +++++-
 project/SparkBuild.scala                                    | 3 ++-
 .../org/apache/spark/sql/hive/client/HiveClientSuite.scala  | 2 +-
 6 files changed, 15 insertions(+), 10 deletions(-)

diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
index edaaa8835cc01..5fd39393335d4 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
@@ -81,14 +81,14 @@ private[sql] class AvroOptions(
 
   /**
    * Top level record name in write result, which is required in Avro spec.
-   * See https://avro.apache.org/docs/1.11.2/specification/#schema-record .
+   * See https://avro.apache.org/docs/1.11.4/specification/#schema-record .
    * Default value is "topLevelRecord"
    */
   val recordName: String = parameters.getOrElse(RECORD_NAME, "topLevelRecord")
 
   /**
    * Record namespace in write result. Default value is "".
-   * See Avro spec for details: https://avro.apache.org/docs/1.11.2/specification/#schema-record .
+   * See Avro spec for details: https://avro.apache.org/docs/1.11.4/specification/#schema-record .
    */
   val recordNamespace: String = parameters.getOrElse(RECORD_NAMESPACE, "")
 
diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 06e6aa199021f..4feea62dfe643 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -21,9 +21,9 @@ arrow-memory-core/12.0.1//arrow-memory-core-12.0.1.jar
 arrow-memory-netty/12.0.1//arrow-memory-netty-12.0.1.jar
 arrow-vector/12.0.1//arrow-vector-12.0.1.jar
 audience-annotations/0.5.0//audience-annotations-0.5.0.jar
-avro-ipc/1.11.2//avro-ipc-1.11.2.jar
-avro-mapred/1.11.2//avro-mapred-1.11.2.jar
-avro/1.11.2//avro-1.11.2.jar
+avro-ipc/1.11.4//avro-ipc-1.11.4.jar
+avro-mapred/1.11.4//avro-mapred-1.11.4.jar
+avro/1.11.4//avro-1.11.4.jar
 aws-java-sdk-bundle/1.12.262//aws-java-sdk-bundle-1.12.262.jar
 azure-data-lake-store-sdk/2.3.9//azure-data-lake-store-sdk-2.3.9.jar
 azure-keyvault-core/1.0.0//azure-keyvault-core-1.0.0.jar
diff --git a/docs/sql-data-sources-avro.md b/docs/sql-data-sources-avro.md
index 1da75e5d7b17e..a23c438af6d4e 100644
--- a/docs/sql-data-sources-avro.md
+++ b/docs/sql-data-sources-avro.md
@@ -417,7 +417,7 @@ applications. Read the [Advanced Dependency Management](https://spark.apache
 Submission Guide for more details.
 
 ## Supported types for Avro -> Spark SQL conversion
-Currently Spark supports reading all [primitive types](https://avro.apache.org/docs/1.11.2/specification/#primitive-types) and [complex types](https://avro.apache.org/docs/1.11.2/specification/#complex-types) under records of Avro.
+Currently Spark supports reading all [primitive types](https://avro.apache.org/docs/1.11.4/specification/#primitive-types) and [complex types](https://avro.apache.org/docs/1.11.4/specification/#complex-types) under records of Avro.
 <table>
   <thead><tr><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
@@ -481,7 +481,7 @@ In addition to the types listed above, it supports reading `union` types. The fo
 3. `union(something, null)`, where something is any supported Avro type. This will be mapped to the same Spark SQL type as that of something, with nullable set to true.
 All other union types are considered complex. They will be mapped to StructType where field names are member0, member1, etc., in accordance with members of the union. This is consistent with the behavior when converting between Avro and Parquet.
 
-It also supports reading the following Avro [logical types](https://avro.apache.org/docs/1.11.2/specification/#logical-types):
+It also supports reading the following Avro [logical types](https://avro.apache.org/docs/1.11.4/specification/#logical-types):
 
 <table>
   <thead><tr><th><b>Avro logical type</b></th><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
diff --git a/pom.xml b/pom.xml
index 0ccb6ac76a9bc..e427f4d4ce682 100644
--- a/pom.xml
+++ b/pom.xml
@@ -158,7 +158,7 @@
     -->
     <codahale.metrics.version>4.2.19</codahale.metrics.version>
     <!-- Should be consistent with SparkBuild.scala and docs -->
-    <avro.version>1.11.2</avro.version>
+    <avro.version>1.11.4</avro.version>
     <aws.kinesis.client.version>1.12.0</aws.kinesis.client.version>
     <!-- Should be consistent with Kinesis client dependency -->
     <aws.java.sdk.version>1.11.655</aws.java.sdk.version>
@@ -1485,6 +1485,10 @@
         <artifactId>avro</artifactId>
         <version>${avro.version}</version>
         <exclusions>
+          <exclusion>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-compress</artifactId>
+          </exclusion>
           <exclusion>
             <groupId>commons-io</groupId>
             <artifactId>commons-io</artifactId>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index f8659a4f4a257..162f34415c53b 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1103,7 +1103,8 @@ object DependencyOverrides {
     dependencyOverrides += "com.google.guava" % "guava" % guavaVersion,
     dependencyOverrides += "xerces" % "xercesImpl" % "2.12.2",
     dependencyOverrides += "jline" % "jline" % "2.14.6",
-    dependencyOverrides += "org.apache.avro" % "avro" % "1.11.2")
+    dependencyOverrides += "org.apache.avro" % "avro" % "1.11.4",
+    dependencyOverrides += "org.apache.commons" % "commons-compress" % "1.23.0")
 }
 
 /**
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
index 8476c87dc283b..d35cc79c6a32b 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
@@ -908,7 +908,7 @@ class HiveClientSuite(version: String, allVersions: Seq[String])
   test("Decimal support of Avro Hive serde") {
     val tableName = "tab1"
     // TODO: add the other logical types. For details, see the link:
-    // https://avro.apache.org/docs/1.11.2/specification/#logical-types
+    // https://avro.apache.org/docs/1.11.4/specification/#logical-types
     val avroSchema =
     """{
       |  "name": "test_record",

From bdfa6efaa5f9f5a7abb7adfcada2414be182ed63 Mon Sep 17 00:00:00 2001
From: changgyoopark-db <changgyoo.park@databricks.com>
Date: Tue, 21 Jan 2025 12:02:04 +0800
Subject: [PATCH 947/986] [SPARK-50870][SQL] Add the timezone when casting to
 timestamp in V2ScanRelationPushDown

### What changes were proposed in this pull request?

Add the timezone information to a cast expression when the destination type requires it.

### Why are the changes needed?

When current_timestamp() is materialized as a string, the timezone information is gone (e.g., 2024-12-27 10:26:27.684158) which prohibits further optimization rules from being applied to the affected data source.

For example,

```
Project [1735900357973433#10 AS current_timestamp()#6]
+- 'Project [cast(2025-01-03 10:32:37.973433#11 as timestamp) AS 1735900357973433#10]
   +- RelationV2[2025-01-03 10:32:37.973433#11] xxx
```

-> This query fails to execute because the injected cast expression lacks the timezone information.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49549 from changgyoopark-db/SPARK-50870.

Authored-by: changgyoopark-db <changgyoo.park@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 24abb0fbb1dbb18b513bceabe22c6183f5e32034)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../execution/datasources/v2/V2ScanRelationPushDown.scala  | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala
index ef3982ff90870..46a06c5f5eaf4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala
@@ -322,7 +322,12 @@ object V2ScanRelationPushDown extends Rule[LogicalPlan] with PredicateHelper {
     if (expression.dataType == expectedDataType) {
       expression
     } else {
-      Cast(expression, expectedDataType)
+      val cast = Cast(expression, expectedDataType)
+      if (cast.timeZoneId.isEmpty && cast.needsTimeZone) {
+        cast.withTimeZone(conf.sessionLocalTimeZone)
+      } else {
+        cast
+      }
     }
 
   def buildScanWithPushedAggregate(plan: LogicalPlan): LogicalPlan = plan.transform {

From e4e41b2bf6fc7afecd86d0e4da816487d3c03d1b Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Tue, 21 Jan 2025 12:51:45 -0800
Subject: [PATCH 948/986] [SPARK-45013][CORE][TEST][3.5] Flaky Test with NPE:
 track allocated resources by taskId

### What changes were proposed in this pull request?
This PR ensures the runningTasks to be updated before subsequent tasks causing NPE

### Why are the changes needed?
fix flakey tests

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
It shall fix
```
- track allocated resources by taskId *** FAILED *** (36 milliseconds)
[info]   java.lang.NullPointerException: Cannot invoke "org.apache.spark.executor.Executor$TaskRunner.taskDescription()" because the return value of "java.util.concurrent.ConcurrentHashMap.get(Object)" is null
[info]   at org.apache.spark.executor.CoarseGrainedExecutorBackend.statusUpdate(CoarseGrainedExecutorBackend.scala:275)
[info]   at org.apache.spark.executor.CoarseGrainedExecutorBackendSuite.$anonfun$new$22(CoarseGrainedExecutorBackendSuite.scala:351)
[info]
```

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #49589 from LuciferYang/SPARK-45013-3.5.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/executor/CoarseGrainedExecutorBackendSuite.scala       | 1 +
 1 file changed, 1 insertion(+)

diff --git a/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala b/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
index 909d605442575..0b931840dd2a9 100644
--- a/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
+++ b/core/src/test/scala/org/apache/spark/executor/CoarseGrainedExecutorBackendSuite.scala
@@ -339,6 +339,7 @@ class CoarseGrainedExecutorBackendSuite extends SparkFunSuite
       backend.self.send(LaunchTask(new SerializableBuffer(serializedTaskDescription)))
       eventually(timeout(10.seconds)) {
         assert(backend.taskResources.size == 1)
+        assert(runningTasks.size == 1)
         val resources = backend.taskResources.get(taskId)
         assert(resources(GPU).addresses sameElements Array("0", "1"))
       }

From 717789149f2363ea6f2be716ef35b6825ef922dd Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Mon, 20 Jan 2025 09:49:03 +0900
Subject: [PATCH 949/986] [SPARK-50890][PYTHON][TESTS][CONNECT] Skip test_take
 in Spark Connect only build

This PR proposes to skip test_take in Spark Connect only build.

This particular test is flaky (https://github.com/apache/spark/actions/runs/12857135589/job/35844649654) and fails with OOM, which results in stopping all following tests. We should at least fix this build, and run other tests.

No, test-only.

Will monitor the build.

No.

Closes #49565 from HyukjinKwon/skip-test-take.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 1e378b34676b4b2322937c5e76a914276ae1f9c1)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
---
 python/pyspark/pandas/tests/connect/frame/test_parity_take.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
index 4fc8b2452a760..6e8e38efe1666 100644
--- a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
+++ b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
@@ -17,11 +17,13 @@
 import unittest
 
 from pyspark import pandas as ps
+from pyspark import is_remote_only
 from pyspark.pandas.tests.frame.test_take import FrameTakeMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
+@unittest.skipIf(is_remote_only(), "Flaky with OOM")
 class FrameParityTakeTests(FrameTakeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
     @property
     def psdf(self):

From bd2b8e53be3d1713134c6154a66ae455953bfc95 Mon Sep 17 00:00:00 2001
From: yangjie01 <yangjie01@baidu.com>
Date: Wed, 22 Jan 2025 17:27:23 +0200
Subject: [PATCH 950/986] [SPARK-50946][CORE][TESTS] Add version check for Java
 17.0.14 to make `UtilsSuite` test pass

### What changes were proposed in this pull request?
This pr adds Java version checks and logic adaptations to `scenario6` in the test case named "SPARK-35907: createDirectory" within the `UtilsSuite`, ensuring that it can pass the tests both Java 17.0.13 and Java 17.0.14 as well.

### Why are the changes needed?
Java 17.0.14 includes the fix for JDK-8294193: [`Files.createDirectories throws FileAlreadyExistsException for a symbolic link whose target is an existing directory`](https://github.com/openjdk/jdk17u-dev/pull/2870). This behaves differently from previous expectations in the targeted test scenario, which would cause the "SPARK-35907: createDirectory" test to fail.

![image](https://github.com/user-attachments/assets/21d33f5c-d29a-4def-ba84-41475b231a63)

However, since `setup-java` does not always install Java 17.0.14 (sometimes it installs 17.0.13 instead now), the current pr adapts the logic for versions after 17.0.14 and retains the original assertion behavior for versions 17.0.13 and earlier.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- manual check

**Before**

```
java -version
openjdk version "17.0.14" 2025-01-21 LTS
OpenJDK Runtime Environment Zulu17.56+15-CA (build 17.0.14+7-LTS)
OpenJDK 64-Bit Server VM Zulu17.56+15-CA (build 17.0.14+7-LTS, mixed mode, sharing)
```

or

```
java -version
openjdk version "17.0.14" 2025-01-21 LTS
OpenJDK Runtime Environment Corretto-17.0.14.7.1 (build 17.0.14+7-LTS)
OpenJDK 64-Bit Server VM Corretto-17.0.14.7.1 (build 17.0.14+7-LTS, mixed mode, sharing)
```

"SPARK-35907: createDirectory" will test failed:

```
[info] - SPARK-35907: createDirectory *** FAILED *** (43 milliseconds)
[info]   Utils.createDirectory(scenario6) was true (UtilsSuite.scala:534)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.util.UtilsSuite.$anonfun$new$35(UtilsSuite.scala:534)
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:334)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Suite.run(Suite.scala:1114)
[info]   at org.scalatest.Suite.run$(Suite.scala:1096)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:69)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:414)
[info]   at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
[info]   at java.base/java.lang.Thread.run(Thread.java:840)
```

**After**

Both 17.0.13 and 17.0.14 will pass the test successfully.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49599 from LuciferYang/SPARK-50946.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 54a59b7f3ceb575e478650ab8ead01922595ea17)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit 89ec42048ec4290b4a697c43735acec8de955133)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 core/src/test/scala/org/apache/spark/util/UtilsSuite.scala | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 1a7bfc64c23c7..2f46c4d67603f 100644
--- a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -525,10 +525,15 @@ class UtilsSuite extends SparkFunSuite with ResetSystemProperties {
 
     // The following 3 scenarios are only for the method: createDirectory(File)
     // 6. Symbolic link
+    // JAVA_RUNTIME_VERSION is like "17.0.14+7-LTS"
+    lazy val javaVersion = Runtime.Version.parse(SystemUtils.JAVA_RUNTIME_VERSION)
     val scenario6 = java.nio.file.Files.createSymbolicLink(new File(testDir, "scenario6")
       .toPath, scenario1.toPath).toFile
     if (Utils.isJavaVersionAtLeast21) {
       assert(Utils.createDirectory(scenario6))
+    } else if (javaVersion.feature() == 17 && javaVersion.update() >= 14) {
+      // SPARK-50946: Java 17.0.14 includes JDK-8294193, so scenario6 can succeed.
+      assert(Utils.createDirectory(scenario6))
     } else {
       assert(!Utils.createDirectory(scenario6))
     }

From 5abaeac78ef2f58af48342b63f41fa0febf770fd Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 22 Jan 2025 09:29:56 -0800
Subject: [PATCH 951/986] Revert "[SPARK-50946][CORE][TESTS] Add version check
 for Java 17.0.14 to make `UtilsSuite` test pass"

This reverts commit bd2b8e53be3d1713134c6154a66ae455953bfc95.
---
 core/src/test/scala/org/apache/spark/util/UtilsSuite.scala | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 2f46c4d67603f..1a7bfc64c23c7 100644
--- a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -525,15 +525,10 @@ class UtilsSuite extends SparkFunSuite with ResetSystemProperties {
 
     // The following 3 scenarios are only for the method: createDirectory(File)
     // 6. Symbolic link
-    // JAVA_RUNTIME_VERSION is like "17.0.14+7-LTS"
-    lazy val javaVersion = Runtime.Version.parse(SystemUtils.JAVA_RUNTIME_VERSION)
     val scenario6 = java.nio.file.Files.createSymbolicLink(new File(testDir, "scenario6")
       .toPath, scenario1.toPath).toFile
     if (Utils.isJavaVersionAtLeast21) {
       assert(Utils.createDirectory(scenario6))
-    } else if (javaVersion.feature() == 17 && javaVersion.update() >= 14) {
-      // SPARK-50946: Java 17.0.14 includes JDK-8294193, so scenario6 can succeed.
-      assert(Utils.createDirectory(scenario6))
     } else {
       assert(!Utils.createDirectory(scenario6))
     }

From e608297b1da50aee90f87e1b18ee3b530ad3e87b Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 22 Jan 2025 12:07:19 -0800
Subject: [PATCH 952/986] [SPARK-50946][CORE][TESTS][3.5] Add version check for
 Java 17.0.14 to make `UtilsSuite` test pass

### What changes were proposed in this pull request?
This pr adds Java version checks and logic adaptations to `scenario6` in the test case named "SPARK-35907: createDirectory" within the `UtilsSuite`, ensuring that it can pass the tests both Java 17.0.13 and Java 17.0.14 as well.

### Why are the changes needed?
Java 17.0.14 includes the fix for JDK-8294193: [`Files.createDirectories throws FileAlreadyExistsException for a symbolic link whose target is an existing directory`](https://github.com/openjdk/jdk17u-dev/pull/2870). This behaves differently from previous expectations in the targeted test scenario, which would cause the "SPARK-35907: createDirectory" test to fail.

![image](https://github.com/user-attachments/assets/21d33f5c-d29a-4def-ba84-41475b231a63)

However, since `setup-java` does not always install Java 17.0.14 (sometimes it installs 17.0.13 instead now), the current pr adapts the logic for versions after 17.0.14 and retains the original assertion behavior for versions 17.0.13 and earlier.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass GitHub Actions
- manual check

**Before**

```
java -version
openjdk version "17.0.14" 2025-01-21 LTS
OpenJDK Runtime Environment Zulu17.56+15-CA (build 17.0.14+7-LTS)
OpenJDK 64-Bit Server VM Zulu17.56+15-CA (build 17.0.14+7-LTS, mixed mode, sharing)
```

or

```
java -version
openjdk version "17.0.14" 2025-01-21 LTS
OpenJDK Runtime Environment Corretto-17.0.14.7.1 (build 17.0.14+7-LTS)
OpenJDK 64-Bit Server VM Corretto-17.0.14.7.1 (build 17.0.14+7-LTS, mixed mode, sharing)
```

"SPARK-35907: createDirectory" will test failed:

```
[info] - SPARK-35907: createDirectory *** FAILED *** (43 milliseconds)
[info]   Utils.createDirectory(scenario6) was true (UtilsSuite.scala:534)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
[info]   at org.scalatest.Assertions$.newAssertionFailedException(Assertions.scala:1231)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:1295)
[info]   at org.apache.spark.util.UtilsSuite.$anonfun$new$35(UtilsSuite.scala:534)
[info]   at org.scalatest.enablers.Timed$$anon$1.timeoutAfter(Timed.scala:127)
[info]   at org.scalatest.concurrent.TimeLimits$.failAfterImpl(TimeLimits.scala:282)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter(TimeLimits.scala:231)
[info]   at org.scalatest.concurrent.TimeLimits.failAfter$(TimeLimits.scala:230)
[info]   at org.apache.spark.SparkFunSuite.failAfter(SparkFunSuite.scala:69)
[info]   at org.apache.spark.SparkFunSuite.$anonfun$test$2(SparkFunSuite.scala:155)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:227)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:69)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:334)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
[info]   at org.scalatest.Suite.run(Suite.scala:1114)
[info]   at org.scalatest.Suite.run$(Suite.scala:1096)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:69)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:69)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:414)
[info]   at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
[info]   at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
[info]   at java.base/java.lang.Thread.run(Thread.java:840)
```

**After**

Both 17.0.13 and 17.0.14 will pass the test successfully.

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49606 from dongjoon-hyun/SPARK-50890-3.5.

Lead-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Co-authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 core/src/test/scala/org/apache/spark/util/UtilsSuite.scala | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 1a7bfc64c23c7..6a1a4e29d06b6 100644
--- a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -525,10 +525,14 @@ class UtilsSuite extends SparkFunSuite with ResetSystemProperties {
 
     // The following 3 scenarios are only for the method: createDirectory(File)
     // 6. Symbolic link
+    lazy val javaVersion = System.getProperty("java.version").split("[+.\\-]+", 3)
     val scenario6 = java.nio.file.Files.createSymbolicLink(new File(testDir, "scenario6")
       .toPath, scenario1.toPath).toFile
     if (Utils.isJavaVersionAtLeast21) {
       assert(Utils.createDirectory(scenario6))
+    } else if (javaVersion(0).equals("17") && javaVersion(2).toInt >= 14) {
+      // SPARK-50946: Java 17.0.14 includes JDK-8294193, so scenario6 can succeed.
+      assert(Utils.createDirectory(scenario6))
     } else {
       assert(!Utils.createDirectory(scenario6))
     }

From 39123689dcf2e4b65f62a32b9431fb6dc735de5d Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 23 Jan 2025 12:22:29 +0900
Subject: [PATCH 953/986] Revert "[SPARK-50890][PYTHON][TESTS][CONNECT] Skip
 test_take in Spark Connect only build"

This reverts commit 717789149f2363ea6f2be716ef35b6825ef922dd.
---
 python/pyspark/pandas/tests/connect/frame/test_parity_take.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
index 6e8e38efe1666..4fc8b2452a760 100644
--- a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
+++ b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
@@ -17,13 +17,11 @@
 import unittest
 
 from pyspark import pandas as ps
-from pyspark import is_remote_only
 from pyspark.pandas.tests.frame.test_take import FrameTakeMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
-@unittest.skipIf(is_remote_only(), "Flaky with OOM")
 class FrameParityTakeTests(FrameTakeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
     @property
     def psdf(self):

From d061aadf25fd258d2d3e7332a489c9c24a2b5530 Mon Sep 17 00:00:00 2001
From: Hyukjin Kwon <gurwls223@apache.org>
Date: Thu, 23 Jan 2025 12:26:31 +0900
Subject: [PATCH 954/986] Revert "Revert "[SPARK-50890][PYTHON][TESTS][CONNECT]
 Skip test_take in Spark Connect only build""

This reverts commit 39123689dcf2e4b65f62a32b9431fb6dc735de5d.
---
 python/pyspark/pandas/tests/connect/frame/test_parity_take.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
index 4fc8b2452a760..f71a937d13de4 100644
--- a/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
+++ b/python/pyspark/pandas/tests/connect/frame/test_parity_take.py
@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import os
 import unittest
 
 from pyspark import pandas as ps
@@ -22,6 +23,7 @@
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
+@unittest.skipIf("SPARK_SKIP_CONNECT_COMPAT_TESTS" in os.environ, "Fails with OOM")
 class FrameParityTakeTests(FrameTakeMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
     @property
     def psdf(self):

From d2f9b4c597ecb1fed5d74ec232c55a6c43f09edb Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 24 Jan 2025 17:34:05 -0800
Subject: [PATCH 955/986] [SPARK-50984][SQL][TESTS] Make
 `ExpressionImplUtilsSuite` robust by matching JDK msgs via regex

This PR aims to make `ExpressionImplUtilsSuite` robust and simpler by matching JDK msgs via regex.

Historically, the error messages are different across JDK versions.

https://github.com/apache/spark/blob/44966c94b686df72b827307d3c3eadc6804abaf2/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala#L290-L295

In JDK 17.0.14, the error messages are different in some distributions. Note that it succeeds with GitHub Action Zulu distribution.
```
 [info] - AesEncrypt Expected Errors *** FAILED *** (8 milliseconds)
...
     [info]   Analysis:
     [info]   JavaCollectionWrappers$JMapWrapper("detailMessage":
"Input length not multiple of 16 bytes" ->
"Input length must be multiple of 16 when decrypting with padded cipher")
```

We had better make it more robust.

No. This is a test-only change.

Pass the CIs.

No.

Closes #49661 from dongjoon-hyun/SPARK-50984.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit f5549d7c34caa190128fa1a3c5898bd9f64d893d)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../expressions/ExpressionImplUtilsSuite.scala | 18 +++++-------------
 1 file changed, 5 insertions(+), 13 deletions(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala
index 4b33f9bc52785..29e238b03a9f7 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionImplUtilsSuite.scala
@@ -17,8 +17,6 @@
 
 package org.apache.spark.sql.catalyst.expressions
 
-import org.apache.commons.lang3.{JavaVersion, SystemUtils}
-
 import org.apache.spark.{SparkFunSuite, SparkRuntimeException}
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -287,12 +285,6 @@ class ExpressionImplUtilsSuite extends SparkFunSuite {
     }
   }
 
-  // JDK-8267125 changes tag error message at Java 18
-  val msgTagMismatch = if (SystemUtils.isJavaVersionAtMost(JavaVersion.JAVA_17)) {
-    "Tag mismatch!"
-  } else {
-    "Tag mismatch"
-  }
   val corruptedCiphertexts = Seq(
     // This is truncated
     TestCase(
@@ -304,8 +296,7 @@ class ExpressionImplUtilsSuite extends SparkFunSuite {
       errorParamsMap = Map(
         "parameter" -> "`expr`, `key`",
         "functionName" -> "`aes_encrypt`/`aes_decrypt`",
-        "detailMessage" ->
-          "Input length must be multiple of 16 when decrypting with padded cipher"
+        "detailMessage" -> "Input length .*"
       )
     ),
     // The ciphertext is corrupted
@@ -318,7 +309,7 @@ class ExpressionImplUtilsSuite extends SparkFunSuite {
       errorParamsMap = Map(
         "parameter" -> "`expr`, `key`",
         "functionName" -> "`aes_encrypt`/`aes_decrypt`",
-        "detailMessage" -> msgTagMismatch
+        "detailMessage" -> "Tag mismatch[!]?"
       )
     ),
     // Valid ciphertext, wrong AAD
@@ -332,7 +323,7 @@ class ExpressionImplUtilsSuite extends SparkFunSuite {
       errorParamsMap = Map(
         "parameter" -> "`expr`, `key`",
         "functionName" -> "`aes_encrypt`/`aes_decrypt`",
-        "detailMessage" -> msgTagMismatch
+        "detailMessage" -> "Tag mismatch[!]?"
       )
     )
   )
@@ -350,7 +341,8 @@ class ExpressionImplUtilsSuite extends SparkFunSuite {
         f(t)
       },
       errorClass = t.expectedErrorClassOpt.get,
-      parameters = t.errorParamsMap
+      parameters = t.errorParamsMap,
+      matchPVals = true
     )
   }
 }

From 7fd9ced867865c3c0e3daca9ca6941c1b322616e Mon Sep 17 00:00:00 2001
From: Michael Chen <mike.chen@workday.com>
Date: Fri, 24 Jan 2025 17:45:40 -0800
Subject: [PATCH 956/986] [SPARK-50853][CORE][3.5] Close temp shuffle file
 writable channel

### What changes were proposed in this pull request?

This is a backport of
- https://github.com/apache/spark/pull/49531

Currently, there are two implementations of DownloadFileWritableChannel (which is used for writing data fetched to disk), SimpleDownloadWritableChannel and EncryptedDownloadWritableChannel. The latter closes the writable channel in its implementation of closeAndRead method while the former does not. As a result, SimpleDownloadWritableChannel channel is never closed and is relying on either the finalizer in FileOutputStream or the phantom cleanable in FileDescriptor to close the file descriptor. The change in this PR is to close the channel in SimpleDownloadWritableChannel closeAndRead method.

### Why are the changes needed?

Should be closing file handles when they are not needed anymore instead of relying on finalizer/cleanables to do it.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing spark tests.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49653 from ChenMichael/SPARK-50853-close-temp-shuffle-file-channel-3.5.

Authored-by: Michael Chen <mike.chen@workday.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../shuffle/DownloadFileWritableChannel.java  |  3 +-
 .../network/shuffle/SimpleDownloadFile.java   |  3 +-
 .../shuffle/SimpleDownloadFileSuite.java      | 48 +++++++++++++++++++
 3 files changed, 52 insertions(+), 2 deletions(-)
 create mode 100644 common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/SimpleDownloadFileSuite.java

diff --git a/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/DownloadFileWritableChannel.java b/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/DownloadFileWritableChannel.java
index dbbbac43eb741..802e373ddd112 100644
--- a/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/DownloadFileWritableChannel.java
+++ b/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/DownloadFileWritableChannel.java
@@ -19,6 +19,7 @@
 
 import org.apache.spark.network.buffer.ManagedBuffer;
 
+import java.io.IOException;
 import java.nio.channels.WritableByteChannel;
 
 /**
@@ -26,5 +27,5 @@
  * after the writer has been closed.  Used with DownloadFile and DownloadFileManager.
  */
 public interface DownloadFileWritableChannel extends WritableByteChannel {
-  ManagedBuffer closeAndRead();
+  ManagedBuffer closeAndRead() throws IOException;
 }
diff --git a/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/SimpleDownloadFile.java b/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/SimpleDownloadFile.java
index 97ecaa627b66c..0acca3fdd6a44 100644
--- a/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/SimpleDownloadFile.java
+++ b/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/SimpleDownloadFile.java
@@ -69,7 +69,8 @@ private class SimpleDownloadWritableChannel implements DownloadFileWritableChann
     }
 
     @Override
-    public ManagedBuffer closeAndRead() {
+    public ManagedBuffer closeAndRead() throws IOException {
+      channel.close();
       return new FileSegmentManagedBuffer(transportConf, file, 0, file.length());
     }
 
diff --git a/common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/SimpleDownloadFileSuite.java b/common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/SimpleDownloadFileSuite.java
new file mode 100644
index 0000000000000..11e8ad976f6d8
--- /dev/null
+++ b/common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/SimpleDownloadFileSuite.java
@@ -0,0 +1,48 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.network.shuffle;
+
+import org.apache.spark.network.util.MapConfigProvider;
+import org.apache.spark.network.util.TransportConf;
+import org.junit.Test;
+
+import static org.junit.Assert.*;
+
+import java.io.File;
+import java.io.IOException;
+
+public class SimpleDownloadFileSuite {
+  @Test
+  public void testChannelIsClosedAfterCloseAndRead() throws IOException {
+    File tempFile = File.createTempFile("testChannelIsClosed", ".tmp");
+    tempFile.deleteOnExit();
+    TransportConf conf = new TransportConf("test", MapConfigProvider.EMPTY);
+
+    DownloadFile downloadFile = null;
+    try {
+      downloadFile = new SimpleDownloadFile(tempFile, conf);
+      DownloadFileWritableChannel channel = downloadFile.openForWriting();
+      channel.closeAndRead();
+      assertFalse("Channel should be closed after closeAndRead.", channel.isOpen());
+    } finally {
+      if (downloadFile != null) {
+        downloadFile.delete();
+      }
+    }
+  }
+}

From 3e01d410b4f9b7bb98ad6f209b8311d4fd154164 Mon Sep 17 00:00:00 2001
From: Bruce Robbins <bersprockets@gmail.com>
Date: Fri, 24 Jan 2025 21:20:45 -0800
Subject: [PATCH 957/986] [SPARK-50091][SQL][3.5] Handle case of aggregates in
 left-hand operand of IN-subquery

### What changes were proposed in this pull request?

This is a back-port of #48627.

This PR adds code to `RewritePredicateSubquery#apply` to explicitly handle the case where an `Aggregate` node contains an aggregate expression in the left-hand operand of an IN-subquery expression. The explicit handler moves the IN-subquery expressions out of the `Aggregate` and into a parent `Project` node. The `Aggregate` will continue to perform the aggregations that were used as an operand to the IN-subquery expression, but will not include the IN-subquery expression itself. After pulling up IN-subquery expressions into a Project node, `RewritePredicateSubquery#apply` is called again to handle the `Project` as a `UnaryNode`. The `Join` will now be inserted between the `Project` and the `Aggregate` node, and the join condition will use an attribute rather than an aggregate expression, e.g.:
```
Project [col1#32, exists#42 AS (sum(col2) IN (listquery()))https://github.com/apache/spark/pull/40]
+- Join ExistenceJoin(exists#42), (sum(col2)#41L = c2#39L)
   :- Aggregate [col1#32], [col1#32, sum(col2#33) AS sum(col2)#41L]
   :  +- LocalRelation [col1#32, col2#33]
   +- LocalRelation [c2#39L]
```
`sum(col2)#41L` in the above join condition, despite how it looks, is the name of the attribute, not an aggregate expression.

### Why are the changes needed?

The following query fails:
```
create or replace temp view v1(c1, c2) as values (1, 2), (1, 3), (2, 2), (3, 7), (3, 1);
create or replace temp view v2(col1, col2) as values (1, 2), (1, 3), (2, 2), (3, 7), (3, 1);

select col1, sum(col2) in (select c2 from v1)
from v2 group by col1;
```
It fails with this error:
```
[INTERNAL_ERROR] Cannot generate code for expression: sum(input[1, int, false]) SQLSTATE: XX000
```
With SPARK_TESTING=1, it fails with this error:
```
[PLAN_VALIDATION_FAILED_RULE_IN_BATCH] Rule org.apache.spark.sql.catalyst.optimizer.RewritePredicateSubquery in batch RewriteSubquery generated an invalid plan: Special expressions are placed in the wrong plan:
Aggregate [col1#11], [col1#11, first(exists#20, false) AS (sum(col2) IN (listquery()))https://github.com/apache/spark/pull/19]
+- Join ExistenceJoin(exists#20), (sum(col2#12) = c2#18L)
   :- LocalRelation [col1#11, col2#12]
   +- LocalRelation [c2#18L]
```
The issue is that `RewritePredicateSubquery` builds a `Join` operator where the join condition contains an aggregate expression.

The bug is in the handler for `UnaryNode` in `RewritePredicateSubquery#apply`, which adds a `Join` below the `Aggregate` and assumes that the left-hand operand of IN-subquery can be used in the join condition. This works fine for most cases, but not when the left-hand operand is an aggregate expression.

This PR moves the offending IN-subqueries to a `Project` node, with the aggregates replaced by attributes referring to the aggregate expressions. The resulting join condition now uses those attributes rather than the actual aggregate expressions.

### Does this PR introduce _any_ user-facing change?

No, other than allowing this type of query to succeed.

### How was this patch tested?

New unit tests.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49663 from bersprockets/aggregate_in_set_issue_br35.

Authored-by: Bruce Robbins <bersprockets@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../sql/catalyst/optimizer/subquery.scala     | 96 +++++++++++++++++--
 .../optimizer/RewriteSubquerySuite.scala      | 19 +++-
 .../org/apache/spark/sql/SubquerySuite.scala  | 30 ++++++
 3 files changed, 136 insertions(+), 9 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
index ee20053157816..0652ee221c35d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.catalyst.expressions.ScalarSubquery._
 import org.apache.spark.sql.catalyst.expressions.SubExprUtils._
 import org.apache.spark.sql.catalyst.expressions.aggregate._
 import org.apache.spark.sql.catalyst.optimizer.RewriteCorrelatedScalarSubquery.splitSubquery
+import org.apache.spark.sql.catalyst.planning.PhysicalAggregation
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
@@ -100,6 +101,25 @@ object RewritePredicateSubquery extends Rule[LogicalPlan] with PredicateHelper {
     }
   }
 
+  def exprsContainsAggregateInSubquery(exprs: Seq[Expression]): Boolean = {
+    exprs.exists { expr =>
+      exprContainsAggregateInSubquery(expr)
+    }
+  }
+
+  def exprContainsAggregateInSubquery(expr: Expression): Boolean = {
+    expr.exists {
+      case InSubquery(values, _) =>
+        values.exists { v =>
+          v.exists {
+            case _: AggregateExpression => true
+            case _ => false
+          }
+        }
+      case _ => false;
+    }
+  }
+
   def apply(plan: LogicalPlan): LogicalPlan = plan.transformWithPruning(
     _.containsAnyPattern(EXISTS_SUBQUERY, LIST_SUBQUERY)) {
     case Filter(condition, child)
@@ -162,15 +182,75 @@ object RewritePredicateSubquery extends Rule[LogicalPlan] with PredicateHelper {
           Project(p.output, Filter(newCond.get, inputPlan))
       }
 
+    // Handle the case where the left-hand side of an IN-subquery contains an aggregate.
+    //
+    // If an Aggregate node contains such an IN-subquery, this handler will pull up all
+    // expressions from the Aggregate node into a new Project node. The new Project node
+    // will then be handled by the Unary node handler.
+    //
+    // The Unary node handler uses the left-hand side of the IN-subquery in a
+    // join condition. Thus, without this pre-transformation, the join condition
+    // contains an aggregate, which is illegal. With this pre-transformation, the
+    // join condition contains an attribute from the left-hand side of the
+    // IN-subquery contained in the Project node.
+    //
+    // For example:
+    //
+    //   SELECT SUM(col2) IN (SELECT c3 FROM v1) AND SUM(col3) > -1 AS x
+    //   FROM v2;
+    //
+    // The above query has this plan on entry to RewritePredicateSubquery#apply:
+    //
+    //   Aggregate [(sum(col2#18) IN (list#12 []) AND (sum(col3#19) > -1)) AS x#13]
+    //   :  +- LocalRelation [c3#28L]
+    //   +- LocalRelation [col2#18, col3#19]
+    //
+    // Note that the Aggregate node contains the IN-subquery and the left-hand
+    // side of the IN-subquery is an aggregate expression sum(col2#18)).
+    //
+    // This handler transforms the above plan into the following:
+    // scalastyle:off line.size.limit
+    //
+    //   Project [(_aggregateexpression#20L IN (list#12 []) AND (_aggregateexpression#21L > -1)) AS x#13]
+    //   :  +- LocalRelation [c3#28L]
+    //   +- Aggregate [sum(col2#18) AS _aggregateexpression#20L, sum(col3#19) AS _aggregateexpression#21L]
+    //      +- LocalRelation [col2#18, col3#19]
+    //
+    // scalastyle:on
+    // Note that both the IN-subquery and the greater-than expressions have been
+    // pulled up into the Project node. These expressions use attributes
+    // (_aggregateexpression#20L and _aggregateexpression#21L) to refer to the aggregations
+    // which are still performed in the Aggregate node (sum(col2#18) and sum(col3#19)).
+    case p @ PhysicalAggregation(
+        groupingExpressions, aggregateExpressions, resultExpressions, child)
+        if exprsContainsAggregateInSubquery(p.expressions) =>
+      val aggExprs = aggregateExpressions.map(
+        ae => Alias(ae, "_aggregateexpression")(ae.resultId))
+      val aggExprIds = aggExprs.map(_.exprId).toSet
+      val resExprs = resultExpressions.map(_.transform {
+        case a: AttributeReference if aggExprIds.contains(a.exprId) =>
+          a.withName("_aggregateexpression")
+      }.asInstanceOf[NamedExpression])
+      // Rewrite the projection and the aggregate separately and then piece them together.
+      val newAgg = Aggregate(groupingExpressions, groupingExpressions ++ aggExprs, child)
+      val newProj = Project(resExprs, newAgg)
+      handleUnaryNode(newProj)
+
     case u: UnaryNode if u.expressions.exists(
-        SubqueryExpression.hasInOrCorrelatedExistsSubquery) =>
-      var newChild = u.child
-      u.mapExpressions(expr => {
-        val (newExpr, p) = rewriteExistentialExpr(Seq(expr), newChild)
-        newChild = p
-        // The newExpr can not be None
-        newExpr.get
-      }).withNewChildren(Seq(newChild))
+        SubqueryExpression.hasInOrCorrelatedExistsSubquery) => handleUnaryNode(u)
+  }
+
+  /**
+   * Handle the unary node case
+   */
+  private def handleUnaryNode(u: UnaryNode): LogicalPlan = {
+    var newChild = u.child
+    u.mapExpressions(expr => {
+      val (newExpr, p) = rewriteExistentialExpr(Seq(expr), newChild)
+      newChild = p
+      // The newExpr can not be None
+      newExpr.get
+    }).withNewChildren(Seq(newChild))
   }
 
   /**
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteSubquerySuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteSubquerySuite.scala
index 17547bbcb9402..c45a761353c85 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteSubquerySuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteSubquerySuite.scala
@@ -20,10 +20,11 @@ package org.apache.spark.sql.catalyst.optimizer
 import org.apache.spark.sql.catalyst.QueryPlanningTracker
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.{IsNull, ListQuery, Not}
+import org.apache.spark.sql.catalyst.expressions.{Cast, IsNull, ListQuery, Not}
 import org.apache.spark.sql.catalyst.plans.{ExistenceJoin, LeftSemi, PlanTest}
 import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan}
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
+import org.apache.spark.sql.types.LongType
 
 
 class RewriteSubquerySuite extends PlanTest {
@@ -79,4 +80,20 @@ class RewriteSubquerySuite extends PlanTest {
     Optimize.executeAndTrack(query.analyze, tracker)
     assert(tracker.rules(RewritePredicateSubquery.ruleName).numEffectiveInvocations == 0)
   }
+
+  test("SPARK-50091: Don't put aggregate expression in join condition") {
+    val relation1 = LocalRelation($"c1".int, $"c2".int, $"c3".int)
+    val relation2 = LocalRelation($"col1".int, $"col2".int, $"col3".int)
+    val plan = relation2.groupBy()(sum($"col2").in(ListQuery(relation1.select($"c3"))))
+    val optimized = Optimize.execute(plan.analyze)
+    val aggregate = relation2
+      .select($"col2")
+      .groupBy()(sum($"col2").as("_aggregateexpression"))
+    val correctAnswer = aggregate
+      .join(relation1.select(Cast($"c3", LongType).as("c3")),
+        ExistenceJoin($"exists".boolean.withNullability(false)),
+        Some($"_aggregateexpression" === $"c3"))
+      .select($"exists".as("(sum(col2) IN (listquery()))")).analyze
+    comparePlans(optimized, correctAnswer)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
index 260c992f1aed1..04702201f82f5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
@@ -2800,4 +2800,34 @@ class SubquerySuite extends QueryTest
       checkAnswer(df3, Row(7))
     }
   }
+
+  test("SPARK-50091: Handle aggregates in left-hand operand of IN-subquery") {
+    withView("v1", "v2") {
+      Seq((1, 2, 2), (1, 5, 3), (2, 0, 4), (3, 7, 7), (3, 8, 8))
+        .toDF("c1", "c2", "c3")
+        .createOrReplaceTempView("v1")
+      Seq((1, 2, 2), (1, 3, 3), (2, 2, 4), (3, 7, 7), (3, 1, 1))
+        .toDF("col1", "col2", "col3")
+        .createOrReplaceTempView("v2")
+
+      val df1 = sql("SELECT col1, SUM(col2) IN (SELECT c3 FROM v1) FROM v2 GROUP BY col1")
+      checkAnswer(df1,
+        Row(1, false) :: Row(2, true) :: Row(3, true) :: Nil)
+
+      val df2 = sql("""SELECT
+                      |  col1,
+                      |  SUM(col2) IN (SELECT c3 FROM v1) and SUM(col3) IN (SELECT c2 FROM v1) AS x
+                      |FROM v2 GROUP BY col1
+                      |ORDER BY col1""".stripMargin)
+      checkAnswer(df2,
+        Row(1, false) :: Row(2, false) :: Row(3, true) :: Nil)
+
+      val df3 = sql("""SELECT col1, (SUM(col2), SUM(col3)) IN (SELECT c3, c2 FROM v1) AS x
+                      |FROM v2
+                      |GROUP BY col1
+                      |ORDER BY col1""".stripMargin)
+      checkAnswer(df3,
+        Row(1, false) :: Row(2, false) :: Row(3, true) :: Nil)
+    }
+  }
 }

From 22118f9f696c83066a02e58ec1fdf49930f47d16 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Fri, 24 Jan 2025 23:24:29 -0800
Subject: [PATCH 958/986] [SPARK-50987][DOCS] Make `spark-connect-overview.md`s
 version strings up-to-date
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR aims to make `spark-connect-overview.md`'s version strings up-to-date.

- https://apache.github.io/spark/spark-connect-overview.html

**BEFORE**

<img width="477" alt="Screenshot 2025-01-24 at 11 17 03 PM" src="https://github.com/user-attachments/assets/4ee91119-e116-4573-8446-32bf18342ac5" />

**AFTER**
<img width="318" alt="Screenshot 2025-01-24 at 11 17 22 PM" src="https://github.com/user-attachments/assets/9e3f9061-6623-440f-8031-5ee85666675c" />

**BEFORE**
<img width="546" alt="Screenshot 2025-01-24 at 11 17 58 PM" src="https://github.com/user-attachments/assets/dc3ac80b-a5fc-4ea2-bf1d-4025a6ae204f" />

**AFTER**
<img width="552" alt="Screenshot 2025-01-24 at 11 18 35 PM" src="https://github.com/user-attachments/assets/8c5fe8cf-a8b1-4933-a593-3037f356c81a" />

**BEFORE**
<img width="679" alt="Screenshot 2025-01-24 at 11 21 33 PM" src="https://github.com/user-attachments/assets/d4d69efe-2fb4-43ea-be13-0d1bbe251b2c" />

**AFTER**
<img width="674" alt="Screenshot 2025-01-24 at 11 22 29 PM" src="https://github.com/user-attachments/assets/09a413fe-3659-4bba-b37c-609f2d6f16ba" />

This keeps the document up-to-date for Apache Spark 3.5.5/4.0.0+.

Manual review.

No

Closes #49665 from dongjoon-hyun/SPARK-50987.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 21f051246101ebbfcf13df41ce85c45b7fe5f41e)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/spark-connect-overview.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/docs/spark-connect-overview.md b/docs/spark-connect-overview.md
index 9da559c37fdef..0283c013ad0f5 100644
--- a/docs/spark-connect-overview.md
+++ b/docs/spark-connect-overview.md
@@ -279,11 +279,11 @@ The connection may also be programmatically created using _SparkSession#builder_
 
 <div data-lang="python"  markdown="1">
 
-First, install PySpark with `pip install pyspark[connect]==3.5.0` or if building a packaged PySpark application/library,
+First, install PySpark with `pip install pyspark[connect]=={{site.SPARK_VERSION_SHORT}}` or if building a packaged PySpark application/library,
 add it your setup.py file as:
 {% highlight python %}
 install_requires=[
-'pyspark[connect]==3.5.0'
+'pyspark[connect]=={{site.SPARK_VERSION_SHORT}}'
 ]
 {% endhighlight %}
 
@@ -330,8 +330,8 @@ Lines with a: 72, lines with b: 39
 To use Spark Connect as part of a Scala application/project, we first need to include the right dependencies.
 Using the `sbt` build system as an example, we add the following dependencies to the `build.sbt` file: 
 {% highlight sbt %}
-libraryDependencies += "org.apache.spark" %% "spark-sql-api" % "3.5.0"
-libraryDependencies += "org.apache.spark" %% "spark-connect-client-jvm" % "3.5.0"
+libraryDependencies += "org.apache.spark" %% "spark-sql-api" % "{{site.SPARK_VERSION_SHORT}}"
+libraryDependencies += "org.apache.spark" %% "spark-connect-client-jvm" % "{{site.SPARK_VERSION_SHORT}}"
 {% endhighlight %}
 
 When writing your own code, include the `remote` function with a reference to
@@ -374,9 +374,9 @@ HTTP/2 interface allows for the use of authenticating proxies, which makes
 it possible to secure Spark Connect without having to implement authentication
 logic in Spark directly.
 
-# What is supported in Spark 3.4
+# What is supported
 
-**PySpark**: In Spark 3.4, Spark Connect supports most PySpark APIs, including
+**PySpark**: Since Spark 3.4, Spark Connect supports most PySpark APIs, including
 [DataFrame](api/python/reference/pyspark.sql/dataframe.html),
 [Functions](api/python/reference/pyspark.sql/functions.html), and
 [Column](api/python/reference/pyspark.sql/column.html). However,
@@ -387,7 +387,7 @@ supported in the [API reference](api/python/reference/index.html) documentation.
 Supported APIs are labeled "Supports Spark Connect" so you can check whether the
 APIs you are using are available before migrating existing code to Spark Connect.
 
-**Scala**: In Spark 3.5, Spark Connect supports most Scala APIs, including
+**Scala**: Since Spark 3.5, Spark Connect supports most Scala APIs, including
 [Dataset](api/scala/org/apache/spark/sql/Dataset.html),
 [functions](api/scala/org/apache/spark/sql/functions$.html),
 [Column](api/scala/org/apache/spark/sql/Column.html),

From 09a255a74e046bc8dd99325a28d91bce9eb89783 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 26 Jan 2025 16:49:34 -0800
Subject: [PATCH 959/986] [SPARK-50998][K8S][DOCS] Fix
 `spark.kubernetes.configMap.maxSize` default value in docs

### What changes were proposed in this pull request?

This PR aims to Fix `spark.kubernetes.configMap.maxSize` default value in docs

### Why are the changes needed?

Since Apache Spark 3.3.2, we fixed this value from `1572864` from `1048576` in the validation logic.
- #39884

### Does this PR introduce _any_ user-facing change?

No, this is a doc only update to be consistent with the code.

### How was this patch tested?

Manual review.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49683 from dongjoon-hyun/SPARK-50998.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 2b70117304a70a3dd2ec4a7c1e33ed0b07c535ca)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 docs/running-on-kubernetes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index cbddaaf90fca3..f033a0ae72ff4 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1427,7 +1427,7 @@ See the [configuration page](configuration.html) for information on Spark config
 </tr>
 <tr>
   <td><code>spark.kubernetes.configMap.maxSize</code></td>
-  <td><code>1572864</code></td>
+  <td><code>1048576</code></td>
   <td>
     Max size limit for a config map.
     This is configurable as per <a href="https://etcd.io/docs/latest/dev-guide/limit/">limit</a> on k8s server end.

From 1f8147537df5040ec934216b2cbaf9f4a6943fcd Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 29 Jan 2025 10:26:35 -0800
Subject: [PATCH 960/986] [SPARK-51033][CORE][TESTS] Fix
 `CryptoStreamUtilsSuite` to use `sameElements` for array comparison

### What changes were proposed in this pull request?

This PR aims to fix `CryptoStreamUtilsSuite` to use `sameElements` for array comparison.

### Why are the changes needed?

Since the existing assertion is invalid due to `String != Array[Byte]` comparison, it causes a compilation error from Scala 2.13.16.

https://github.com/apache/spark/blob/6bbfa2dad8c70b94ca52eb7cddde5ec68efbe0b1/core/src/test/scala/org/apache/spark/security/CryptoStreamUtilsSuite.scala#L115

- #49478

### Does this PR introduce _any_ user-facing change?

No, this is a test-only fix.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49727 from dongjoon-hyun/SPARK-51033.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5cce6e9affc22a492a8e6bc5cf3bb7d200bfb41a)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../org/apache/spark/security/CryptoStreamUtilsSuite.scala      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/core/src/test/scala/org/apache/spark/security/CryptoStreamUtilsSuite.scala b/core/src/test/scala/org/apache/spark/security/CryptoStreamUtilsSuite.scala
index c3d96e7c42af8..f4a754a7a7d56 100644
--- a/core/src/test/scala/org/apache/spark/security/CryptoStreamUtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/security/CryptoStreamUtilsSuite.scala
@@ -115,7 +115,7 @@ class CryptoStreamUtilsSuite extends SparkFunSuite {
           bytes.toByteArray()
         }.collect()(0)
 
-      assert(content != encrypted)
+      assert(!content.getBytes(UTF_8).sameElements(encrypted))
 
       val in = CryptoStreamUtils.createCryptoInputStream(new ByteArrayInputStream(encrypted),
         sc.conf, SparkEnv.get.securityManager.getIOEncryptionKey().get)

From c339e50d243aaaec4658bbb335099a168bee5886 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 29 Jan 2025 01:08:19 -0800
Subject: [PATCH 961/986] [SPARK-51027][SQL] Prevent `HiveClient.runSqlHive`
 invocation in non-testing environment

This PR aims to prevent `HiveClient.runSqlHive` invocation in non-testing environment.

`HiveClient.runSqlHive` is a kind of testing utility which Apache Spark uses during unit testing in order to compare with Hive result. We had better guarantee that this is not used in non-testing environments.

```
$ git grep runSqlHive | grep test | wc -l
      84

$ git grep runSqlHive | grep -v test
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala:  def runSqlHive(sql: String): Seq[String]
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala:  override def runSqlHive(sql: String): Seq[String] = {
```

No. This is a method of private class, `HiveClient`.

https://github.com/apache/spark/blob/3badfd2c41d33fe5f1cbd1d7345c749b7af81574/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala#L42

In testing environment, it always succeed. So, we need to check manually.

```
$ build/sbt package -Phive -Phive-thriftserver

$ bin/spark-shell
WARNING: Using incubator modules: jdk.incubator.vector
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 4.1.0-SNAPSHOT
      /_/

Using Scala version 2.13.15 (OpenJDK 64-Bit Server VM, Java 17.0.14)
Type in expressions to have them evaluated.
Type :help for more information.
25/01/28 22:32:58 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Spark context Web UI available at http://localhost:4040
Spark context available as 'sc' (master = local[*], app id = local-1738132378341).
Spark session available as 'spark'.

scala> :paste -raw
// Entering paste mode (ctrl-D to finish)

package org.apache.spark

object myObject {
    val spark = org.apache.spark.sql.SparkSession.getActiveSession.get
    val client = spark.sharedState.externalCatalog.unwrapped.asInstanceOf[org.apache.spark.sql.hive.HiveExternalCatalog].client
    client.runSqlHive("SHOW TABLES")
}

// Exiting paste mode... now compiling with scalac.

scala> org.apache.spark.myObject
25/01/28 22:33:23 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
25/01/28 22:33:23 WARN ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore dongjoon127.0.0.1
java.lang.AssertionError: assertion failed: spark.testing is not set to true
  at scala.Predef$.assert(Predef.scala:279)
  at org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:865)
  ... 43 elided
```

No.

Closes #49722 from dongjoon-hyun/SPARK-51027.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 42898c62b4c197e88b842eaa840986cb70d93a9c)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 6d347b2beac22d37e8fbff7da29b2db3868d579f)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../scala/org/apache/spark/sql/hive/client/HiveClient.scala    | 2 +-
 .../org/apache/spark/sql/hive/client/HiveClientImpl.scala      | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala
index ff225e7a50f0d..7dbabcae484f1 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClient.scala
@@ -55,7 +55,7 @@ private[hive] trait HiveClient {
 
   /**
    * Runs a HiveQL command using Hive, returning the results as a list of strings.  Each row will
-   * result in one string.
+   * result in one string. This should be used only in testing environment.
    */
   def runSqlHive(sql: String): Seq[String]
 
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
index f3d7d7e66a537..e51658355b10d 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
@@ -48,6 +48,7 @@ import org.apache.hadoop.security.UserGroupInformation
 import org.apache.spark.{SparkConf, SparkException}
 import org.apache.spark.deploy.SparkHadoopUtil.SOURCE_SPARK
 import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.Tests.IS_TESTING
 import org.apache.spark.metrics.source.HiveCatalogMetrics
 import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.catalyst.analysis.{DatabaseAlreadyExistsException, NoSuchDatabaseException, NoSuchPartitionException, NoSuchPartitionsException, NoSuchTableException, PartitionsAlreadyExistException}
@@ -843,8 +844,10 @@ private[hive] class HiveClientImpl(
 
   /**
    * Runs the specified SQL query using Hive.
+   * This should be used only in testing environment.
    */
   override def runSqlHive(sql: String): Seq[String] = {
+    assert(Utils.isTesting, s"${IS_TESTING.key} is not set to true")
     val maxResults = 100000
     val results = runHive(sql, maxResults)
     // It is very confusing when you only get back some of the results...

From 1966d574f0e3a2db26bdc75da6e4f92870b494d7 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Wed, 29 Jan 2025 23:23:04 -0800
Subject: [PATCH 962/986] [SPARK-51039][BUILD] Fix `hive-llap-common`
 dependency to use `hive.llap.scope` in root `pom.xml`

This PR aims to fix `hive-llap-common` dependency to use `hive.llap.scope` in root pom for Apache Spark 3.5 and 4.0.

Apache Spark has been supposed to use `hive.llap.scope` for `hive-llap-common` dependency and `hive` module do it correctly.
https://github.com/apache/spark/blob/a1b0f256c04e5b632075358d1e2f946e64588da6/sql/hive/pom.xml#L119-L123

Since Apache Spark 3.0.0 (SPARK-27176), the root `pom.xml` file has been using a wrong scope mistakenly. Probably, it's due to `-Phive-provided` support. This causes a confusion to other external systems and the users. We had better fix the root `pom.xml` to use `hive.llap.scope` correctly.
- #23788

No, there is no change technically because `hive` module has been using a correct scope.

Pass the CIs.

No.

Closes #49733 from dongjoon-hyun/SPARK-51039.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 7243de6fe7162ac491e73d110425b15ef397ec88)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 assembly/pom.xml | 1 +
 pom.xml          | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index ee2e7b48871ee..b858926fd766b 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -260,6 +260,7 @@
       <id>hive-provided</id>
       <properties>
         <hive.deps.scope>provided</hive.deps.scope>
+        <hive.llap.scope>provided</hive.llap.scope>
       </properties>
     </profile>
     <profile>
diff --git a/pom.xml b/pom.xml
index e427f4d4ce682..6c3c6c7c21080 100644
--- a/pom.xml
+++ b/pom.xml
@@ -2524,7 +2524,7 @@
         <groupId>org.apache.hive</groupId>
         <artifactId>hive-llap-common</artifactId>
         <version>${hive23.version}</version>
-        <scope>${hive.deps.scope}</scope>
+        <scope>${hive.llap.scope}</scope>
         <exclusions>
           <exclusion>
             <groupId>org.apache.hive</groupId>

From fd865666db29f6d4cb0bb1423daa6f8620640e06 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 3 Feb 2025 09:33:16 -0800
Subject: [PATCH 963/986] [SPARK-51061][CORE] Hide `Jetty` info in REST
 Submission API

This PR aims to hide `Jetty` info in REST Submission API like SPARK-46239.
- #44158

Start `Spark Master` server.
```
$ SPARK_MASTER_OPTS='-Dspark.master.rest.enabled=true' sbin/start-master.sh
```

**BEFORE:**
```
$ curl -vv http://0.0.0.0:6066/v1/submissions/readyz
*   Trying 0.0.0.0:6066...
* Connected to 0.0.0.0 (0.0.0.0) port 6066
> GET /v1/submissions/readyz HTTP/1.1
> Host: 0.0.0.0:6066
> User-Agent: curl/8.7.1
> Accept: */*
>
* Request completely sent off
< HTTP/1.1 200 OK
< Date: Sun, 02 Feb 2025 05:14:04 GMT
< Content-Type: application/json;charset=utf-8
< Content-Length: 114
< Server: Jetty(11.0.24)
<
{
  "action" : "ReadyzResponse",
  "message" : "",
  "serverSparkVersion" : "4.1.0-SNAPSHOT",
  "success" : true
* Connection #0 to host 0.0.0.0 left intact
}
```

**AFTER**
```
$ curl -vv http://0.0.0.0:6066/v1/submissions/readyz
*   Trying 0.0.0.0:6066...
* Connected to 0.0.0.0 (0.0.0.0) port 6066
> GET /v1/submissions/readyz HTTP/1.1
> Host: 0.0.0.0:6066
> User-Agent: curl/8.7.1
> Accept: */*
>
* Request completely sent off
< HTTP/1.1 200 OK
< Date: Sun, 02 Feb 2025 05:12:41 GMT
< Content-Type: application/json;charset=utf-8
< Content-Length: 114
<
{
  "action" : "ReadyzResponse",
  "message" : "",
  "serverSparkVersion" : "4.1.0-SNAPSHOT",
  "success" : true
* Connection #0 to host 0.0.0.0 left intact
}
```

No, there is no technical behavior change because this is a meta-data.

Manual test with the above procedure.

No.

Closes #49762 from dongjoon-hyun/SPARK-51061.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit ac8f8b08941bec66710a5d845d3bde84dda4441f)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/deploy/rest/RestSubmissionServer.scala      | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/core/src/main/scala/org/apache/spark/deploy/rest/RestSubmissionServer.scala b/core/src/main/scala/org/apache/spark/deploy/rest/RestSubmissionServer.scala
index 41845dc31a988..a9266acf7b545 100644
--- a/core/src/main/scala/org/apache/spark/deploy/rest/RestSubmissionServer.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/rest/RestSubmissionServer.scala
@@ -22,7 +22,7 @@ import javax.servlet.http.{HttpServlet, HttpServletRequest, HttpServletResponse}
 import scala.io.Source
 
 import com.fasterxml.jackson.core.JsonProcessingException
-import org.eclipse.jetty.server.{HttpConnectionFactory, Server, ServerConnector}
+import org.eclipse.jetty.server.{HttpConfiguration, HttpConnectionFactory, Server, ServerConnector}
 import org.eclipse.jetty.servlet.{ServletContextHandler, ServletHolder}
 import org.eclipse.jetty.util.thread.{QueuedThreadPool, ScheduledExecutorScheduler}
 import org.json4s._
@@ -84,6 +84,13 @@ private[spark] abstract class RestSubmissionServer(
     threadPool.setDaemon(true)
     val server = new Server(threadPool)
 
+    // Hide information.
+    val httpConfig = new HttpConfiguration()
+    logDebug("Using setSendServerVersion: false")
+    httpConfig.setSendServerVersion(false)
+    logDebug("Using setSendXPoweredBy: false")
+    httpConfig.setSendXPoweredBy(false)
+
     val connector = new ServerConnector(
       server,
       null,
@@ -92,7 +99,7 @@ private[spark] abstract class RestSubmissionServer(
       null,
       -1,
       -1,
-      new HttpConnectionFactory())
+      new HttpConnectionFactory(httpConfig))
     connector.setHost(host)
     connector.setPort(startPort)
     connector.setReuseAddress(!Utils.isWindows)

From 105bed7d2cab807211540b166ce8b97549d4ede7 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 3 Feb 2025 10:02:00 -0800
Subject: [PATCH 964/986] [SPARK-51071][INFRA][3.5] Upgrade `upload-artifact`
 to v4 to recover `branch-3.5` CI

### What changes were proposed in this pull request?

This PR aims to upgrade `upload-artifact` to v4 to recover `branch-3.5` CI.

### Why are the changes needed?

`branch-3.5` GitHub Action CI is rejected because of `actions/upload-artifact: v3`.
- https://github.com/apache/spark/actions/workflows/build_main.yml?query=branch%3Abranch-3.5
```
Error: This request has been automatically failed because it uses a deprecated version of `actions/upload-artifact: v3`. Learn more: https://github.blog/changelog/2024-04-16-deprecation-notice-v3-of-the-artifact-actions/
```

The rejection started on January 30th. We need to migrate immediately.
- https://github.blog/changelog/2024-04-16-deprecation-notice-v3-of-the-artifact-actions/
> Starting January 30th, 2025, GitHub Actions customers will no longer be able to use v3 of [actions/upload-artifact](https://github.com/actions/upload-artifact) or [actions/download-artifact](https://github.com/actions/download-artifact).

### Does this PR introduce _any_ user-facing change?

No. This is an infra-only change.

### How was this patch tested?

The GitHub Action starts successfully on this PR.

```
$ git grep upload-artifactv4 | wc -l
      11
$ git grep upload-artifactv3 | wc -l
       0
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49777 from dongjoon-hyun/SPARK-51071.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .github/workflows/benchmark.yml      |  2 +-
 .github/workflows/build_and_test.yml | 20 ++++++++++----------
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 9e5b0f424838a..a1c542f580d95 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -188,7 +188,7 @@ jobs:
         echo "Preparing the benchmark results:"
         tar -cvf benchmark-results-${{ github.event.inputs.jdk }}-${{ github.event.inputs.scala }}.tar `git diff --name-only` `git ls-files --others --exclude=tpcds-sf-1 --exclude-standard`
     - name: Upload benchmark results
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: benchmark-results-${{ github.event.inputs.jdk }}-${{ github.event.inputs.scala }}-${{ matrix.split }}
         path: benchmark-results-${{ github.event.inputs.jdk }}-${{ github.event.inputs.scala }}.tar
diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 7ec8f94a62925..a423750eee728 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -282,13 +282,13 @@ jobs:
         ./dev/run-tests --parallelism 1 --modules "$MODULES_TO_TEST" --included-tags "$INCLUDED_TAGS" --excluded-tags "$EXCLUDED_TAGS"
     - name: Upload test results to report
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: test-results-${{ matrix.modules }}-${{ matrix.comment }}-${{ matrix.java }}-${{ matrix.hadoop }}-${{ matrix.hive }}
         path: "**/target/test-reports/*.xml"
     - name: Upload unit tests log files
       if: failure()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: unit-tests-log-${{ matrix.modules }}-${{ matrix.comment }}-${{ matrix.java }}-${{ matrix.hadoop }}-${{ matrix.hive }}
         path: "**/target/unit-tests.log"
@@ -462,13 +462,13 @@ jobs:
         name: PySpark
     - name: Upload test results to report
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: test-results-${{ matrix.modules }}--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/test-reports/*.xml"
     - name: Upload unit tests log files
       if: failure()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: unit-tests-log-${{ matrix.modules }}--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/unit-tests.log"
@@ -542,7 +542,7 @@ jobs:
         ./dev/run-tests --parallelism 1 --modules sparkr
     - name: Upload test results to report
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: test-results-sparkr--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/test-reports/*.xml"
@@ -915,13 +915,13 @@ jobs:
           spark.sql.join.forceApplyShuffledHashJoin=true
     - name: Upload test results to report
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: test-results-tpcds--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/test-reports/*.xml"
     - name: Upload unit tests log files
       if: failure()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: unit-tests-log-tpcds--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/unit-tests.log"
@@ -981,13 +981,13 @@ jobs:
         ./dev/run-tests --parallelism 1 --modules docker-integration-tests --included-tags org.apache.spark.tags.DockerTest
     - name: Upload test results to report
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: test-results-docker-integration--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/test-reports/*.xml"
     - name: Upload unit tests log files
       if: failure()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: unit-tests-log-docker-integration--8-${{ inputs.hadoop }}-hive2.3
         path: "**/target/unit-tests.log"
@@ -1058,7 +1058,7 @@ jobs:
           build/sbt -Psparkr -Pkubernetes -Pvolcano -Pkubernetes-integration-tests -Dspark.kubernetes.test.volcanoMaxConcurrencyJobNum=1 -Dtest.exclude.tags=local "kubernetes-integration-tests/test"
       - name: Upload Spark on K8S integration tests log files
         if: failure()
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: spark-on-kubernetes-it-log
           path: "**/target/integration-tests.log"

From 31fbf013e7cba1deeb359c0af17295488cf66461 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 6 Feb 2025 10:29:22 -0800
Subject: [PATCH 965/986] [SPARK-51104][DOC] Self-host JavaScript and CSS in
 Spark website

### What changes were proposed in this pull request?

Currently, the [Spark website](https://spark.apache.org/docs/latest/) fails to load bootstrap.bundle.min.js/jquery.js/etc due to the following errors

```

Refused to load the stylesheet '<URL>' because it violates the following Content Security Policy directive: "style-src 'self' 'unsafe-inline' data:". Note that 'style-src-elem' was not explicitly set, so 'style-src' is used as a fallback.
Understand this errorAI
latest/:1 Refused to load the script 'https://cdn.jsdelivr.net/npm/bootstrap5.0.2/dist/js/bootstrap.bundle.min.js' because it violates the following Content Security Policy directive: "script-src 'self' 'unsafe-inline' 'unsafe-eval' https://analytics.apache.org/". Note that 'script-src-elem' was not explicitly set, so 'script-src' is used as a fallback.
Understand this errorAI
latest/:1 Refused to load the script 'https://code.jquery.com/jquery.js' because it violates the following Content Security Policy directive: "script-src 'self' 'unsafe-inline' 'unsafe-eval' https://analytics.apache.org/". Note that 'script-src-elem' was not explicitly set, so 'script-src' is used as a fallback.
...
```

As a result, the website looks like:
<img width="1040" alt="image" src="https://github.com/user-attachments/assets/77898702-c0be-4898-88d7-e5f4e368dfad" />

To fix the issue, I suggest using self-host javascript and CSS in Spark website

### Why are the changes needed?

Fix the broken styling on the Spark website.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Test locally

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49823 from gengliangwang/fixWebsite.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit e89b19f0d162ace3cda0fc4d05de0771216b69ad)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 LICENSE                         |  1 +
 docs/_layouts/global.html       | 11 ++++-------
 docs/js/vendor/docsearch.min.js |  2 ++
 3 files changed, 7 insertions(+), 7 deletions(-)
 create mode 100644 docs/js/vendor/docsearch.min.js

diff --git a/LICENSE b/LICENSE
index 74686d7ffa388..0e3d302b99a8b 100644
--- a/LICENSE
+++ b/LICENSE
@@ -242,6 +242,7 @@ core/src/main/resources/org/apache/spark/ui/static/sorttable.js
 docs/js/vendor/anchor.min.js
 docs/js/vendor/jquery*
 docs/js/vendor/modernizer*
+docs/js/vendor/docsearch.min.js
 
 
 Creative Commons CC0 1.0 Universal Public Domain Dedication
diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index 5116472eaa769..33d24e0c92f78 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -20,8 +20,7 @@
         {% endif %}
 
 
-        <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.2/dist/css/bootstrap.min.css" rel="stylesheet"
-        integrity="sha384-EVSTQN3/azprG1Anm3QDgpJLIm9Nao0Yz1ztcQTwFspd3yD65VohhpuuCOmLASjC" crossorigin="anonymous">
+        <link rel="stylesheet" href="{{ rel_path_to_root }}css/bootstrap.min.css">
         <link rel="preconnect" href="https://fonts.googleapis.com">
         <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
         <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,wght@0,400;0,500;0,700;1,400;1,500;1,700&Courier+Prime:wght@400;700&display=swap" rel="stylesheet">
@@ -196,15 +195,13 @@ <h1 class="title">{{ page.title }}</h1>
              <!-- /container -->
         </div>
 
-        <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.2/dist/js/bootstrap.bundle.min.js"
-        integrity="sha384-MrcW6ZMFYlzcLA8Nl+NtUVF0sA7MsXsP1UyJoMp4YLEuNSfAP+JcXn/tWtIaxVXM"
-        crossorigin="anonymous"></script>
-        <script src="https://code.jquery.com/jquery.js"></script>
+        <script src="{{ rel_path_to_root }}js/vendor/jquery-3.5.1.min.js"></script>
+        <script src="{{ rel_path_to_root }}js/vendor/bootstrap.bundle.min.js"></script>
 
         <script src="js/vendor/anchor.min.js"></script>
         <script src="js/main.js"></script>
 
-        <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js"></script>
+        <script type="text/javascript" src="{{ rel_path_to_root }}js/vendor/docsearch.min.js"></script>
         <script type="text/javascript">
             // DocSearch is entirely free and automated. DocSearch is built in two parts:
             // 1. a crawler which we run on our own infrastructure every 24 hours. It follows every link
diff --git a/docs/js/vendor/docsearch.min.js b/docs/js/vendor/docsearch.min.js
new file mode 100644
index 0000000000000..efb45b8f6f290
--- /dev/null
+++ b/docs/js/vendor/docsearch.min.js
@@ -0,0 +1,2 @@
+/*! docsearch 2.6.3 | © Algolia | github.com/algolia/docsearch */
+(function webpackUniversalModuleDefinition(root,factory){if(typeof exports==="object"&&typeof module==="object")module.exports=factory();else if(typeof define==="function"&&define.amd)define([],factory);else if(typeof exports==="object")exports["docsearch"]=factory();else root["docsearch"]=factory()})(typeof self!=="undefined"?self:this,function(){return function(modules){var installedModules={};function __webpack_require__(moduleId){if(installedModules[moduleId]){return installedModules[moduleId].exports}var module=installedModules[moduleId]={i:moduleId,l:false,exports:{}};modules[moduleId].call(module.exports,module,module.exports,__webpack_require__);module.l=true;return module.exports}__webpack_require__.m=modules;__webpack_require__.c=installedModules;__webpack_require__.d=function(exports,name,getter){if(!__webpack_require__.o(exports,name)){Object.defineProperty(exports,name,{configurable:false,enumerable:true,get:getter})}};__webpack_require__.n=function(module){var getter=module&&module.__esModule?function getDefault(){return module["default"]}:function getModuleExports(){return module};__webpack_require__.d(getter,"a",getter);return getter};__webpack_require__.o=function(object,property){return Object.prototype.hasOwnProperty.call(object,property)};__webpack_require__.p="";return __webpack_require__(__webpack_require__.s=22)}([function(module,exports,__webpack_require__){"use strict";var DOM=__webpack_require__(1);function escapeRegExp(str){return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}module.exports={isArray:null,isFunction:null,isObject:null,bind:null,each:null,map:null,mixin:null,isMsie:function(agentString){if(agentString===undefined){agentString=navigator.userAgent}if(/(msie|trident)/i.test(agentString)){var match=agentString.match(/(msie |rv:)(\d+(.\d+)?)/i);if(match){return match[2]}}return false},escapeRegExChars:function(str){return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")},isNumber:function(obj){return typeof obj==="number"},toStr:function toStr(s){return s===undefined||s===null?"":s+""},cloneDeep:function cloneDeep(obj){var clone=this.mixin({},obj);var self=this;this.each(clone,function(value,key){if(value){if(self.isArray(value)){clone[key]=[].concat(value)}else if(self.isObject(value)){clone[key]=self.cloneDeep(value)}}});return clone},error:function(msg){throw new Error(msg)},every:function(obj,test){var result=true;if(!obj){return result}this.each(obj,function(val,key){if(result){result=test.call(null,val,key,obj)&&result}});return!!result},any:function(obj,test){var found=false;if(!obj){return found}this.each(obj,function(val,key){if(test.call(null,val,key,obj)){found=true;return false}});return found},getUniqueId:function(){var counter=0;return function(){return counter++}}(),templatify:function templatify(obj){if(this.isFunction(obj)){return obj}var $template=DOM.element(obj);if($template.prop("tagName")==="SCRIPT"){return function template(){return $template.text()}}return function template(){return String(obj)}},defer:function(fn){setTimeout(fn,0)},noop:function(){},formatPrefix:function(prefix,noPrefix){return noPrefix?"":prefix+"-"},className:function(prefix,clazz,skipDot){return(skipDot?"":".")+prefix+clazz},escapeHighlightedString:function(str,highlightPreTag,highlightPostTag){highlightPreTag=highlightPreTag||"<em>";var pre=document.createElement("div");pre.appendChild(document.createTextNode(highlightPreTag));highlightPostTag=highlightPostTag||"</em>";var post=document.createElement("div");post.appendChild(document.createTextNode(highlightPostTag));var div=document.createElement("div");div.appendChild(document.createTextNode(str));return div.innerHTML.replace(RegExp(escapeRegExp(pre.innerHTML),"g"),highlightPreTag).replace(RegExp(escapeRegExp(post.innerHTML),"g"),highlightPostTag)}}},function(module,exports,__webpack_require__){"use strict";module.exports={element:null}},function(module,exports){var hasOwn=Object.prototype.hasOwnProperty;var toString=Object.prototype.toString;module.exports=function forEach(obj,fn,ctx){if(toString.call(fn)!=="[object Function]"){throw new TypeError("iterator must be a function")}var l=obj.length;if(l===+l){for(var i=0;i<l;i++){fn.call(ctx,obj[i],i,obj)}}else{for(var k in obj){if(hasOwn.call(obj,k)){fn.call(ctx,obj[k],k,obj)}}}}},function(module,exports){module.exports=function clone(obj){return JSON.parse(JSON.stringify(obj))}},function(module,exports){var g;g=function(){return this}();try{g=g||Function("return this")()||(1,eval)("this")}catch(e){if(typeof window==="object")g=window}module.exports=g},function(module,exports,__webpack_require__){"use strict";var inherits=__webpack_require__(12);function AlgoliaSearchError(message,extraProperties){var forEach=__webpack_require__(2);var error=this;if(typeof Error.captureStackTrace==="function"){Error.captureStackTrace(this,this.constructor)}else{error.stack=(new Error).stack||"Cannot get a stacktrace, browser is too old"}this.name="AlgoliaSearchError";this.message=message||"Unknown error";if(extraProperties){forEach(extraProperties,function addToErrorObject(value,key){error[key]=value})}}inherits(AlgoliaSearchError,Error);function createCustomError(name,message){function AlgoliaSearchCustomError(){var args=Array.prototype.slice.call(arguments,0);if(typeof args[0]!=="string"){args.unshift(message)}AlgoliaSearchError.apply(this,args);this.name="AlgoliaSearch"+name+"Error"}inherits(AlgoliaSearchCustomError,AlgoliaSearchError);return AlgoliaSearchCustomError}module.exports={AlgoliaSearchError:AlgoliaSearchError,UnparsableJSON:createCustomError("UnparsableJSON","Could not parse the incoming response as JSON, see err.more for details"),RequestTimeout:createCustomError("RequestTimeout","Request timedout before getting a response"),Network:createCustomError("Network","Network issue, see err.more for details"),JSONPScriptFail:createCustomError("JSONPScriptFail","<script> was loaded but did not call our provided callback"),JSONPScriptError:createCustomError("JSONPScriptError","<script> unable to load due to an `error` event on it"),Unknown:createCustomError("Unknown","Unknown error occured")}},function(module,exports){var toString={}.toString;module.exports=Array.isArray||function(arr){return toString.call(arr)=="[object Array]"}},function(module,exports,__webpack_require__){var foreach=__webpack_require__(2);module.exports=function map(arr,fn){var newArr=[];foreach(arr,function(item,itemIndex){newArr.push(fn(item,itemIndex,arr))});return newArr}},function(module,exports,__webpack_require__){(function(process){exports=module.exports=__webpack_require__(39);exports.log=log;exports.formatArgs=formatArgs;exports.save=save;exports.load=load;exports.useColors=useColors;exports.storage="undefined"!=typeof chrome&&"undefined"!=typeof chrome.storage?chrome.storage.local:localstorage();exports.colors=["lightseagreen","forestgreen","goldenrod","dodgerblue","darkorchid","crimson"];function useColors(){if(typeof window!=="undefined"&&window.process&&window.process.type==="renderer"){return true}return typeof document!=="undefined"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=="undefined"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=="undefined"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=="undefined"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/)}exports.formatters.j=function(v){try{return JSON.stringify(v)}catch(err){return"[UnexpectedJSONParseError]: "+err.message}};function formatArgs(args){var useColors=this.useColors;args[0]=(useColors?"%c":"")+this.namespace+(useColors?" %c":" ")+args[0]+(useColors?"%c ":" ")+"+"+exports.humanize(this.diff);if(!useColors)return;var c="color: "+this.color;args.splice(1,0,c,"color: inherit");var index=0;var lastC=0;args[0].replace(/%[a-zA-Z%]/g,function(match){if("%%"===match)return;index++;if("%c"===match){lastC=index}});args.splice(lastC,0,c)}function log(){return"object"===typeof console&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function save(namespaces){try{if(null==namespaces){exports.storage.removeItem("debug")}else{exports.storage.debug=namespaces}}catch(e){}}function load(){var r;try{r=exports.storage.debug}catch(e){}if(!r&&typeof process!=="undefined"&&"env"in process){r=Object({NODE_ENV:"production"}).DEBUG}return r}exports.enable(load());function localstorage(){try{return window.localStorage}catch(e){}}}).call(exports,__webpack_require__(9))},function(module,exports){var process=module.exports={};var cachedSetTimeout;var cachedClearTimeout;function defaultSetTimout(){throw new Error("setTimeout has not been defined")}function defaultClearTimeout(){throw new Error("clearTimeout has not been defined")}(function(){try{if(typeof setTimeout==="function"){cachedSetTimeout=setTimeout}else{cachedSetTimeout=defaultSetTimout}}catch(e){cachedSetTimeout=defaultSetTimout}try{if(typeof clearTimeout==="function"){cachedClearTimeout=clearTimeout}else{cachedClearTimeout=defaultClearTimeout}}catch(e){cachedClearTimeout=defaultClearTimeout}})();function runTimeout(fun){if(cachedSetTimeout===setTimeout){return 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isLvl0=!isLvl1&&!isLvl2;return{isLvl0:isLvl0,isLvl1:isLvl1,isLvl2:isLvl2,isLvl1EmptyOrDuplicate:isLvl1EmptyOrDuplicate,isCategoryHeader:hit.isCategoryHeader,isSubCategoryHeader:hit.isSubCategoryHeader,isTextOrSubcategoryNonEmpty:isTextOrSubcategoryNonEmpty,category:category,subcategory:subcategory,title:displayTitle,text:text,url:url}})}},{key:"formatURL",value:function formatURL(hit){var url=hit.url,anchor=hit.anchor;if(url){var containsAnchor=url.indexOf("#")!==-1;if(containsAnchor)return url;else if(anchor)return hit.url+"#"+hit.anchor;return url}else if(anchor)return"#"+hit.anchor;console.warn("no anchor nor url for : ",JSON.stringify(hit));return null}},{key:"getEmptyTemplate",value:function getEmptyTemplate(){return function(args){return _hogan2.default.compile(_templates2.default.empty).render(args)}}},{key:"getSuggestionTemplate",value:function getSuggestionTemplate(isSimpleLayout){var stringTemplate=isSimpleLayout?_templates2.default.suggestionSimple:_templates2.default.suggestion;var template=_hogan2.default.compile(stringTemplate);return function(suggestion){return template.render(suggestion)}}}]);return DocSearch}();exports.default=DocSearch},function(module,exports,__webpack_require__){var Hogan=__webpack_require__(27);Hogan.Template=__webpack_require__(28).Template;Hogan.template=Hogan.Template;module.exports=Hogan},function(module,exports,__webpack_require__){(function(Hogan){var rIsWhitespace=/\S/,rQuot=/\"/g,rNewline=/\n/g,rCr=/\r/g,rSlash=/\\/g,rLineSep=/\u2028/,rParagraphSep=/\u2029/;Hogan.tags={"#":1,"^":2,"<":3,$:4,"/":5,"!":6,">":7,"=":8,_v:9,"{":10,"&":11,_t:12};Hogan.scan=function scan(text,delimiters){var len=text.length,IN_TEXT=0,IN_TAG_TYPE=1,IN_TAG=2,state=IN_TEXT,tagType=null,tag=null,buf="",tokens=[],seenTag=false,i=0,lineStart=0,otag="{{",ctag="}}";function addBuf(){if(buf.length>0){tokens.push({tag:"_t",text:new String(buf)});buf=""}}function lineIsWhitespace(){var isAllWhitespace=true;for(var j=lineStart;j<tokens.length;j++){isAllWhitespace=Hogan.tags[tokens[j].tag]<Hogan.tags["_v"]||tokens[j].tag=="_t"&&tokens[j].text.match(rIsWhitespace)===null;if(!isAllWhitespace){return false}}return isAllWhitespace}function filterLine(haveSeenTag,noNewLine){addBuf();if(haveSeenTag&&lineIsWhitespace()){for(var j=lineStart,next;j<tokens.length;j++){if(tokens[j].text){if((next=tokens[j+1])&&next.tag==">"){next.indent=tokens[j].text.toString()}tokens.splice(j,1)}}}else if(!noNewLine){tokens.push({tag:"\n"})}seenTag=false;lineStart=tokens.length}function changeDelimiters(text,index){var close="="+ctag,closeIndex=text.indexOf(close,index),delimiters=trim(text.substring(text.indexOf("=",index)+1,closeIndex)).split(" ");otag=delimiters[0];ctag=delimiters[delimiters.length-1];return closeIndex+close.length-1}if(delimiters){delimiters=delimiters.split(" ");otag=delimiters[0];ctag=delimiters[1]}for(i=0;i<len;i++){if(state==IN_TEXT){if(tagChange(otag,text,i)){--i;addBuf();state=IN_TAG_TYPE}else{if(text.charAt(i)=="\n"){filterLine(seenTag)}else{buf+=text.charAt(i)}}}else if(state==IN_TAG_TYPE){i+=otag.length-1;tag=Hogan.tags[text.charAt(i+1)];tagType=tag?text.charAt(i+1):"_v";if(tagType=="="){i=changeDelimiters(text,i);state=IN_TEXT}else{if(tag){i++}state=IN_TAG}seenTag=i}else{if(tagChange(ctag,text,i)){tokens.push({tag:tagType,n:trim(buf),otag:otag,ctag:ctag,i:tagType=="/"?seenTag-otag.length:i+ctag.length});buf="";i+=ctag.length-1;state=IN_TEXT;if(tagType=="{"){if(ctag=="}}"){i++}else{cleanTripleStache(tokens[tokens.length-1])}}}else{buf+=text.charAt(i)}}}filterLine(seenTag,true);return tokens};function cleanTripleStache(token){if(token.n.substr(token.n.length-1)==="}"){token.n=token.n.substring(0,token.n.length-1)}}function trim(s){if(s.trim){return s.trim()}return s.replace(/^\s*|\s*$/g,"")}function tagChange(tag,text,index){if(text.charAt(index)!=tag.charAt(0)){return false}for(var i=1,l=tag.length;i<l;i++){if(text.charAt(index+i)!=tag.charAt(i)){return false}}return true}var allowedInSuper={_t:true,"\n":true,$:true,"/":true};function buildTree(tokens,kind,stack,customTags){var instructions=[],opener=null,tail=null,token=null;tail=stack[stack.length-1];while(tokens.length>0){token=tokens.shift();if(tail&&tail.tag=="<"&&!(token.tag in allowedInSuper)){throw new Error("Illegal content in < super tag.")}if(Hogan.tags[token.tag]<=Hogan.tags["$"]||isOpener(token,customTags)){stack.push(token);token.nodes=buildTree(tokens,token.tag,stack,customTags)}else if(token.tag=="/"){if(stack.length===0){throw new Error("Closing tag without opener: /"+token.n)}opener=stack.pop();if(token.n!=opener.n&&!isCloser(token.n,opener.n,customTags)){throw new Error("Nesting error: "+opener.n+" vs. "+token.n)}opener.end=token.i;return instructions}else if(token.tag=="\n"){token.last=tokens.length==0||tokens[0].tag=="\n"}instructions.push(token)}if(stack.length>0){throw new Error("missing closing tag: "+stack.pop().n)}return instructions}function isOpener(token,tags){for(var i=0,l=tags.length;i<l;i++){if(tags[i].o==token.n){token.tag="#";return true}}}function isCloser(close,open,tags){for(var i=0,l=tags.length;i<l;i++){if(tags[i].c==close&&tags[i].o==open){return true}}}function stringifySubstitutions(obj){var items=[];for(var key in obj){items.push('"'+esc(key)+'": function(c,p,t,i) {'+obj[key]+"}")}return"{ "+items.join(",")+" }"}function stringifyPartials(codeObj){var partials=[];for(var key in codeObj.partials){partials.push('"'+esc(key)+'":{name:"'+esc(codeObj.partials[key].name)+'", '+stringifyPartials(codeObj.partials[key])+"}")}return"partials: {"+partials.join(",")+"}, subs: "+stringifySubstitutions(codeObj.subs)}Hogan.stringify=function(codeObj,text,options){return"{code: function (c,p,i) { "+Hogan.wrapMain(codeObj.code)+" },"+stringifyPartials(codeObj)+"}"};var serialNo=0;Hogan.generate=function(tree,text,options){serialNo=0;var context={code:"",subs:{},partials:{}};Hogan.walk(tree,context);if(options.asString){return this.stringify(context,text,options)}return this.makeTemplate(context,text,options)};Hogan.wrapMain=function(code){return'var t=this;t.b(i=i||"");'+code+"return t.fl();"};Hogan.template=Hogan.Template;Hogan.makeTemplate=function(codeObj,text,options){var template=this.makePartials(codeObj);template.code=new Function("c","p","i",this.wrapMain(codeObj.code));return new this.template(template,text,this,options)};Hogan.makePartials=function(codeObj){var key,template={subs:{},partials:codeObj.partials,name:codeObj.name};for(key in template.partials){template.partials[key]=this.makePartials(template.partials[key])}for(key in codeObj.subs){template.subs[key]=new Function("c","p","t","i",codeObj.subs[key])}return template};function esc(s){return s.replace(rSlash,"\\\\").replace(rQuot,'\\"').replace(rNewline,"\\n").replace(rCr,"\\r").replace(rLineSep,"\\u2028").replace(rParagraphSep,"\\u2029")}function chooseMethod(s){return~s.indexOf(".")?"d":"f"}function createPartial(node,context){var prefix="<"+(context.prefix||"");var sym=prefix+node.n+serialNo++;context.partials[sym]={name:node.n,partials:{}};context.code+='t.b(t.rp("'+esc(sym)+'",c,p,"'+(node.indent||"")+'"));';return sym}Hogan.codegen={"#":function(node,context){context.code+="if(t.s(t."+chooseMethod(node.n)+'("'+esc(node.n)+'",c,p,1),'+"c,p,0,"+node.i+","+node.end+',"'+node.otag+" "+node.ctag+'")){'+"t.rs(c,p,"+"function(c,p,t){";Hogan.walk(node.nodes,context);context.code+="});c.pop();}"},"^":function(node,context){context.code+="if(!t.s(t."+chooseMethod(node.n)+'("'+esc(node.n)+'",c,p,1),c,p,1,0,0,"")){';Hogan.walk(node.nodes,context);context.code+="};"},">":createPartial,"<":function(node,context){var ctx={partials:{},code:"",subs:{},inPartial:true};Hogan.walk(node.nodes,ctx);var template=context.partials[createPartial(node,context)];template.subs=ctx.subs;template.partials=ctx.partials},$:function(node,context){var ctx={subs:{},code:"",partials:context.partials,prefix:node.n};Hogan.walk(node.nodes,ctx);context.subs[node.n]=ctx.code;if(!context.inPartial){context.code+='t.sub("'+esc(node.n)+'",c,p,i);'}},"\n":function(node,context){context.code+=write('"\\n"'+(node.last?"":" + i"))},_v:function(node,context){context.code+="t.b(t.v(t."+chooseMethod(node.n)+'("'+esc(node.n)+'",c,p,0)));'},_t:function(node,context){context.code+=write('"'+esc(node.text)+'"')},"{":tripleStache,"&":tripleStache};function tripleStache(node,context){context.code+="t.b(t.t(t."+chooseMethod(node.n)+'("'+esc(node.n)+'",c,p,0)));'}function write(s){return"t.b("+s+");"}Hogan.walk=function(nodelist,context){var func;for(var i=0,l=nodelist.length;i<l;i++){func=Hogan.codegen[nodelist[i].tag];func&&func(nodelist[i],context)}return context};Hogan.parse=function(tokens,text,options){options=options||{};return buildTree(tokens,"",[],options.sectionTags||[])};Hogan.cache={};Hogan.cacheKey=function(text,options){return[text,!!options.asString,!!options.disableLambda,options.delimiters,!!options.modelGet].join("||")};Hogan.compile=function(text,options){options=options||{};var key=Hogan.cacheKey(text,options);var template=this.cache[key];if(template){var partials=template.partials;for(var name in partials){delete partials[name].instance}return template}template=this.generate(this.parse(this.scan(text,options.delimiters),text,options),text,options);return this.cache[key]=template}})(true?exports:Hogan)},function(module,exports,__webpack_require__){var Hogan={};(function(Hogan){Hogan.Template=function(codeObj,text,compiler,options){codeObj=codeObj||{};this.r=codeObj.code||this.r;this.c=compiler;this.options=options||{};this.text=text||"";this.partials=codeObj.partials||{};this.subs=codeObj.subs||{};this.buf=""};Hogan.Template.prototype={r:function(context,partials,indent){return""},v:hoganEscape,t:coerceToString,render:function render(context,partials,indent){return this.ri([context],partials||{},indent)},ri:function(context,partials,indent){return this.r(context,partials,indent)},ep:function(symbol,partials){var partial=this.partials[symbol];var template=partials[partial.name];if(partial.instance&&partial.base==template){return partial.instance}if(typeof template=="string"){if(!this.c){throw new Error("No compiler available.")}template=this.c.compile(template,this.options)}if(!template){return null}this.partials[symbol].base=template;if(partial.subs){if(!partials.stackText)partials.stackText={};for(key in partial.subs){if(!partials.stackText[key]){partials.stackText[key]=this.activeSub!==undefined&&partials.stackText[this.activeSub]?partials.stackText[this.activeSub]:this.text}}template=createSpecializedPartial(template,partial.subs,partial.partials,this.stackSubs,this.stackPartials,partials.stackText)}this.partials[symbol].instance=template;return template},rp:function(symbol,context,partials,indent){var partial=this.ep(symbol,partials);if(!partial){return""}return partial.ri(context,partials,indent)},rs:function(context,partials,section){var tail=context[context.length-1];if(!isArray(tail)){section(context,partials,this);return}for(var i=0;i<tail.length;i++){context.push(tail[i]);section(context,partials,this);context.pop()}},s:function(val,ctx,partials,inverted,start,end,tags){var pass;if(isArray(val)&&val.length===0){return false}if(typeof val=="function"){val=this.ms(val,ctx,partials,inverted,start,end,tags)}pass=!!val;if(!inverted&&pass&&ctx){ctx.push(typeof val=="object"?val:ctx[ctx.length-1])}return pass},d:function(key,ctx,partials,returnFound){var found,names=key.split("."),val=this.f(names[0],ctx,partials,returnFound),doModelGet=this.options.modelGet,cx=null;if(key==="."&&isArray(ctx[ctx.length-2])){val=ctx[ctx.length-1]}else{for(var i=1;i<names.length;i++){found=findInScope(names[i],val,doModelGet);if(found!==undefined){cx=val;val=found}else{val=""}}}if(returnFound&&!val){return false}if(!returnFound&&typeof val=="function"){ctx.push(cx);val=this.mv(val,ctx,partials);ctx.pop()}return val},f:function(key,ctx,partials,returnFound){var val=false,v=null,found=false,doModelGet=this.options.modelGet;for(var i=ctx.length-1;i>=0;i--){v=ctx[i];val=findInScope(key,v,doModelGet);if(val!==undefined){found=true;break}}if(!found){return returnFound?false:""}if(!returnFound&&typeof val=="function"){val=this.mv(val,ctx,partials)}return val},ls:function(func,cx,partials,text,tags){var oldTags=this.options.delimiters;this.options.delimiters=tags;this.b(this.ct(coerceToString(func.call(cx,text)),cx,partials));this.options.delimiters=oldTags;return false},ct:function(text,cx,partials){if(this.options.disableLambda){throw new Error("Lambda features disabled.")}return this.c.compile(text,this.options).render(cx,partials)},b:function(s){this.buf+=s},fl:function(){var r=this.buf;this.buf="";return r},ms:function(func,ctx,partials,inverted,start,end,tags){var textSource,cx=ctx[ctx.length-1],result=func.call(cx);if(typeof result=="function"){if(inverted){return true}else{textSource=this.activeSub&&this.subsText&&this.subsText[this.activeSub]?this.subsText[this.activeSub]:this.text;return this.ls(result,cx,partials,textSource.substring(start,end),tags)}}return result},mv:function(func,ctx,partials){var cx=ctx[ctx.length-1];var result=func.call(cx);if(typeof result=="function"){return this.ct(coerceToString(result.call(cx)),cx,partials)}return result},sub:function(name,context,partials,indent){var f=this.subs[name];if(f){this.activeSub=name;f(context,partials,this,indent);this.activeSub=false}}};function findInScope(key,scope,doModelGet){var val;if(scope&&typeof scope=="object"){if(scope[key]!==undefined){val=scope[key]}else if(doModelGet&&scope.get&&typeof scope.get=="function"){val=scope.get(key)}}return val}function createSpecializedPartial(instance,subs,partials,stackSubs,stackPartials,stackText){function PartialTemplate(){}PartialTemplate.prototype=instance;function Substitutions(){}Substitutions.prototype=instance.subs;var key;var partial=new PartialTemplate;partial.subs=new Substitutions;partial.subsText={};partial.buf="";stackSubs=stackSubs||{};partial.stackSubs=stackSubs;partial.subsText=stackText;for(key in subs){if(!stackSubs[key])stackSubs[key]=subs[key]}for(key in stackSubs){partial.subs[key]=stackSubs[key]}stackPartials=stackPartials||{};partial.stackPartials=stackPartials;for(key in partials){if(!stackPartials[key])stackPartials[key]=partials[key]}for(key in stackPartials){partial.partials[key]=stackPartials[key]}return partial}var rAmp=/&/g,rLt=/</g,rGt=/>/g,rApos=/\'/g,rQuot=/\"/g,hChars=/[&<>\"\']/;function coerceToString(val){return String(val===null||val===undefined?"":val)}function hoganEscape(str){str=coerceToString(str);return hChars.test(str)?str.replace(rAmp,"&amp;").replace(rLt,"&lt;").replace(rGt,"&gt;").replace(rApos,"&#39;").replace(rQuot,"&quot;"):str}var isArray=Array.isArray||function(a){return Object.prototype.toString.call(a)==="[object Array]"}})(true?exports:Hogan)},function(module,exports,__webpack_require__){"use strict";var AlgoliaSearchCore=__webpack_require__(30);var createAlgoliasearch=__webpack_require__(41);module.exports=createAlgoliasearch(AlgoliaSearchCore,"(lite) ")},function(module,exports,__webpack_require__){module.exports=AlgoliaSearchCore;var errors=__webpack_require__(5);var exitPromise=__webpack_require__(31);var IndexCore=__webpack_require__(32);var store=__webpack_require__(38);var MAX_API_KEY_LENGTH=500;var RESET_APP_DATA_TIMER=Object({NODE_ENV:"production"}).RESET_APP_DATA_TIMER&&parseInt(Object({NODE_ENV:"production"}).RESET_APP_DATA_TIMER,10)||60*2*1e3;function AlgoliaSearchCore(applicationID,apiKey,opts){var debug=__webpack_require__(8)("algoliasearch");var clone=__webpack_require__(3);var isArray=__webpack_require__(6);var map=__webpack_require__(7);var usage="Usage: algoliasearch(applicationID, apiKey, opts)";if(opts._allowEmptyCredentials!==true&&!applicationID){throw new errors.AlgoliaSearchError("Please provide an application ID. "+usage)}if(opts._allowEmptyCredentials!==true&&!apiKey){throw new errors.AlgoliaSearchError("Please provide an API key. "+usage)}this.applicationID=applicationID;this.apiKey=apiKey;this.hosts={read:[],write:[]};opts=opts||{};this._timeouts=opts.timeouts||{connect:1*1e3,read:2*1e3,write:30*1e3};if(opts.timeout){this._timeouts.connect=this._timeouts.read=this._timeouts.write=opts.timeout}var protocol=opts.protocol||"https:";if(!/:$/.test(protocol)){protocol=protocol+":"}if(protocol!=="http:"&&protocol!=="https:"){throw new errors.AlgoliaSearchError("protocol must be `http:` or `https:` (was `"+opts.protocol+"`)")}this._checkAppIdData();if(!opts.hosts){var defaultHosts=map(this._shuffleResult,function(hostNumber){return applicationID+"-"+hostNumber+".algolianet.com"});var mainSuffix=(opts.dsn===false?"":"-dsn")+".algolia.net";this.hosts.read=[this.applicationID+mainSuffix].concat(defaultHosts);this.hosts.write=[this.applicationID+".algolia.net"].concat(defaultHosts)}else if(isArray(opts.hosts)){this.hosts.read=clone(opts.hosts);this.hosts.write=clone(opts.hosts)}else{this.hosts.read=clone(opts.hosts.read);this.hosts.write=clone(opts.hosts.write)}this.hosts.read=map(this.hosts.read,prepareHost(protocol));this.hosts.write=map(this.hosts.write,prepareHost(protocol));this.extraHeaders={};this.cache=opts._cache||{};this._ua=opts._ua;this._useCache=opts._useCache===undefined||opts._cache?true:opts._useCache;this._useRequestCache=this._useCache&&opts._useRequestCache;this._useFallback=opts.useFallback===undefined?true:opts.useFallback;this._setTimeout=opts._setTimeout;debug("init done, %j",this)}AlgoliaSearchCore.prototype.initIndex=function(indexName){return new IndexCore(this,indexName)};AlgoliaSearchCore.prototype.setExtraHeader=function(name,value){this.extraHeaders[name.toLowerCase()]=value};AlgoliaSearchCore.prototype.getExtraHeader=function(name){return this.extraHeaders[name.toLowerCase()]};AlgoliaSearchCore.prototype.unsetExtraHeader=function(name){delete this.extraHeaders[name.toLowerCase()]};AlgoliaSearchCore.prototype.addAlgoliaAgent=function(algoliaAgent){if(this._ua.indexOf(";"+algoliaAgent)===-1){this._ua+=";"+algoliaAgent}};AlgoliaSearchCore.prototype._jsonRequest=function(initialOpts){this._checkAppIdData();var requestDebug=__webpack_require__(8)("algoliasearch:"+initialOpts.url);var body;var cacheID;var additionalUA=initialOpts.additionalUA||"";var cache=initialOpts.cache;var client=this;var tries=0;var usingFallback=false;var hasFallback=client._useFallback&&client._request.fallback&&initialOpts.fallback;var headers;if(this.apiKey.length>MAX_API_KEY_LENGTH&&initialOpts.body!==undefined&&(initialOpts.body.params!==undefined||initialOpts.body.requests!==undefined)){initialOpts.body.apiKey=this.apiKey;headers=this._computeRequestHeaders({additionalUA:additionalUA,withApiKey:false,headers:initialOpts.headers})}else{headers=this._computeRequestHeaders({additionalUA:additionalUA,headers:initialOpts.headers})}if(initialOpts.body!==undefined){body=safeJSONStringify(initialOpts.body)}requestDebug("request start");var debugData=[];function doRequest(requester,reqOpts){client._checkAppIdData();var startTime=new Date;if(client._useCache&&!client._useRequestCache){cacheID=initialOpts.url}if(client._useCache&&!client._useRequestCache&&body){cacheID+="_body_"+reqOpts.body}if(isCacheValidWithCurrentID(!client._useRequestCache,cache,cacheID)){requestDebug("serving response from cache");var responseText=cache[cacheID];return client._promise.resolve({body:JSON.parse(responseText),responseText:responseText})}if(tries>=client.hosts[initialOpts.hostType].length){if(!hasFallback||usingFallback){requestDebug("could not get any response");return client._promise.reject(new errors.AlgoliaSearchError("Cannot connect to the AlgoliaSearch API."+" Send an email to support@algolia.com to report and resolve the issue."+" Application id was: "+client.applicationID,{debugData:debugData}))}requestDebug("switching to fallback");tries=0;reqOpts.method=initialOpts.fallback.method;reqOpts.url=initialOpts.fallback.url;reqOpts.jsonBody=initialOpts.fallback.body;if(reqOpts.jsonBody){reqOpts.body=safeJSONStringify(reqOpts.jsonBody)}headers=client._computeRequestHeaders({additionalUA:additionalUA,headers:initialOpts.headers});reqOpts.timeouts=client._getTimeoutsForRequest(initialOpts.hostType);client._setHostIndexByType(0,initialOpts.hostType);usingFallback=true;return doRequest(client._request.fallback,reqOpts)}var currentHost=client._getHostByType(initialOpts.hostType);var url=currentHost+reqOpts.url;var options={body:reqOpts.body,jsonBody:reqOpts.jsonBody,method:reqOpts.method,headers:headers,timeouts:reqOpts.timeouts,debug:requestDebug,forceAuthHeaders:reqOpts.forceAuthHeaders};requestDebug("method: %s, url: %s, headers: %j, timeouts: %d",options.method,url,options.headers,options.timeouts);if(requester===client._request.fallback){requestDebug("using fallback")}return requester.call(client,url,options).then(success,tryFallback);function success(httpResponse){var status=httpResponse&&httpResponse.body&&httpResponse.body.message&&httpResponse.body.status||httpResponse.statusCode||httpResponse&&httpResponse.body&&200;requestDebug("received response: statusCode: %s, computed statusCode: %d, headers: %j",httpResponse.statusCode,status,httpResponse.headers);var httpResponseOk=Math.floor(status/100)===2;var endTime=new Date;debugData.push({currentHost:currentHost,headers:removeCredentials(headers),content:body||null,contentLength:body!==undefined?body.length:null,method:reqOpts.method,timeouts:reqOpts.timeouts,url:reqOpts.url,startTime:startTime,endTime:endTime,duration:endTime-startTime,statusCode:status});if(httpResponseOk){if(client._useCache&&!client._useRequestCache&&cache){cache[cacheID]=httpResponse.responseText}return{responseText:httpResponse.responseText,body:httpResponse.body}}var shouldRetry=Math.floor(status/100)!==4;if(shouldRetry){tries+=1;return retryRequest()}requestDebug("unrecoverable error");var unrecoverableError=new errors.AlgoliaSearchError(httpResponse.body&&httpResponse.body.message,{debugData:debugData,statusCode:status});return client._promise.reject(unrecoverableError)}function tryFallback(err){requestDebug("error: %s, stack: %s",err.message,err.stack);var endTime=new Date;debugData.push({currentHost:currentHost,headers:removeCredentials(headers),content:body||null,contentLength:body!==undefined?body.length:null,method:reqOpts.method,timeouts:reqOpts.timeouts,url:reqOpts.url,startTime:startTime,endTime:endTime,duration:endTime-startTime});if(!(err instanceof errors.AlgoliaSearchError)){err=new errors.Unknown(err&&err.message,err)}tries+=1;if(err instanceof errors.Unknown||err instanceof errors.UnparsableJSON||tries>=client.hosts[initialOpts.hostType].length&&(usingFallback||!hasFallback)){err.debugData=debugData;return client._promise.reject(err)}if(err instanceof errors.RequestTimeout){return retryRequestWithHigherTimeout()}return retryRequest()}function retryRequest(){requestDebug("retrying request");client._incrementHostIndex(initialOpts.hostType);return doRequest(requester,reqOpts)}function retryRequestWithHigherTimeout(){requestDebug("retrying request with higher timeout");client._incrementHostIndex(initialOpts.hostType);client._incrementTimeoutMultipler();reqOpts.timeouts=client._getTimeoutsForRequest(initialOpts.hostType);return doRequest(requester,reqOpts)}}function isCacheValidWithCurrentID(useRequestCache,currentCache,currentCacheID){return client._useCache&&useRequestCache&&currentCache&&currentCache[currentCacheID]!==undefined}function interopCallbackReturn(request,callback){if(isCacheValidWithCurrentID(client._useRequestCache,cache,cacheID)){request.catch(function(){delete cache[cacheID]})}if(typeof initialOpts.callback==="function"){request.then(function okCb(content){exitPromise(function(){initialOpts.callback(null,callback(content))},client._setTimeout||setTimeout)},function nookCb(err){exitPromise(function(){initialOpts.callback(err)},client._setTimeout||setTimeout)})}else{return request.then(callback)}}if(client._useCache&&client._useRequestCache){cacheID=initialOpts.url}if(client._useCache&&client._useRequestCache&&body){cacheID+="_body_"+body}if(isCacheValidWithCurrentID(client._useRequestCache,cache,cacheID)){requestDebug("serving request from cache");var maybePromiseForCache=cache[cacheID];var promiseForCache=typeof maybePromiseForCache.then!=="function"?client._promise.resolve({responseText:maybePromiseForCache}):maybePromiseForCache;return interopCallbackReturn(promiseForCache,function(content){return JSON.parse(content.responseText)})}var request=doRequest(client._request,{url:initialOpts.url,method:initialOpts.method,body:body,jsonBody:initialOpts.body,timeouts:client._getTimeoutsForRequest(initialOpts.hostType),forceAuthHeaders:initialOpts.forceAuthHeaders});if(client._useCache&&client._useRequestCache&&cache){cache[cacheID]=request}return interopCallbackReturn(request,function(content){return content.body})};AlgoliaSearchCore.prototype._getSearchParams=function(args,params){if(args===undefined||args===null){return params}for(var key in args){if(key!==null&&args[key]!==undefined&&args.hasOwnProperty(key)){params+=params===""?"":"&";params+=key+"="+encodeURIComponent(Object.prototype.toString.call(args[key])==="[object Array]"?safeJSONStringify(args[key]):args[key])}}return params};AlgoliaSearchCore.prototype._computeRequestHeaders=function(options){var forEach=__webpack_require__(2);var ua=options.additionalUA?this._ua+";"+options.additionalUA:this._ua;var requestHeaders={"x-algolia-agent":ua,"x-algolia-application-id":this.applicationID};if(options.withApiKey!==false){requestHeaders["x-algolia-api-key"]=this.apiKey}if(this.userToken){requestHeaders["x-algolia-usertoken"]=this.userToken}if(this.securityTags){requestHeaders["x-algolia-tagfilters"]=this.securityTags}forEach(this.extraHeaders,function addToRequestHeaders(value,key){requestHeaders[key]=value});if(options.headers){forEach(options.headers,function addToRequestHeaders(value,key){requestHeaders[key]=value})}return requestHeaders};AlgoliaSearchCore.prototype.search=function(queries,opts,callback){var isArray=__webpack_require__(6);var map=__webpack_require__(7);var usage="Usage: client.search(arrayOfQueries[, callback])";if(!isArray(queries)){throw new Error(usage)}if(typeof opts==="function"){callback=opts;opts={}}else if(opts===undefined){opts={}}var client=this;var postObj={requests:map(queries,function prepareRequest(query){var params="";if(query.query!==undefined){params+="query="+encodeURIComponent(query.query)}return{indexName:query.indexName,params:client._getSearchParams(query.params,params)}})};var JSONPParams=map(postObj.requests,function prepareJSONPParams(request,requestId){return requestId+"="+encodeURIComponent("/1/indexes/"+encodeURIComponent(request.indexName)+"?"+request.params)}).join("&");var url="/1/indexes/*/queries";if(opts.strategy!==undefined){postObj.strategy=opts.strategy}return this._jsonRequest({cache:this.cache,method:"POST",url:url,body:postObj,hostType:"read",fallback:{method:"GET",url:"/1/indexes/*",body:{params:JSONPParams}},callback:callback})};AlgoliaSearchCore.prototype.searchForFacetValues=function(queries){var isArray=__webpack_require__(6);var map=__webpack_require__(7);var usage="Usage: client.searchForFacetValues([{indexName, params: {facetName, facetQuery, ...params}}, ...queries])";if(!isArray(queries)){throw new Error(usage)}var client=this;return client._promise.all(map(queries,function performQuery(query){if(!query||query.indexName===undefined||query.params.facetName===undefined||query.params.facetQuery===undefined){throw new Error(usage)}var clone=__webpack_require__(3);var omit=__webpack_require__(14);var indexName=query.indexName;var params=query.params;var facetName=params.facetName;var filteredParams=omit(clone(params),function(keyName){return keyName==="facetName"});var searchParameters=client._getSearchParams(filteredParams,"");return client._jsonRequest({cache:client.cache,method:"POST",url:"/1/indexes/"+encodeURIComponent(indexName)+"/facets/"+encodeURIComponent(facetName)+"/query",hostType:"read",body:{params:searchParameters}})}))};AlgoliaSearchCore.prototype.setSecurityTags=function(tags){if(Object.prototype.toString.call(tags)==="[object Array]"){var strTags=[];for(var i=0;i<tags.length;++i){if(Object.prototype.toString.call(tags[i])==="[object Array]"){var oredTags=[];for(var j=0;j<tags[i].length;++j){oredTags.push(tags[i][j])}strTags.push("("+oredTags.join(",")+")")}else{strTags.push(tags[i])}}tags=strTags.join(",")}this.securityTags=tags};AlgoliaSearchCore.prototype.setUserToken=function(userToken){this.userToken=userToken};AlgoliaSearchCore.prototype.clearCache=function(){this.cache={}};AlgoliaSearchCore.prototype.setRequestTimeout=function(milliseconds){if(milliseconds){this._timeouts.connect=this._timeouts.read=this._timeouts.write=milliseconds}};AlgoliaSearchCore.prototype.setTimeouts=function(timeouts){this._timeouts=timeouts};AlgoliaSearchCore.prototype.getTimeouts=function(){return this._timeouts};AlgoliaSearchCore.prototype._getAppIdData=function(){var data=store.get(this.applicationID);if(data!==null)this._cacheAppIdData(data);return data};AlgoliaSearchCore.prototype._setAppIdData=function(data){data.lastChange=(new Date).getTime();this._cacheAppIdData(data);return store.set(this.applicationID,data)};AlgoliaSearchCore.prototype._checkAppIdData=function(){var data=this._getAppIdData();var now=(new Date).getTime();if(data===null||now-data.lastChange>RESET_APP_DATA_TIMER){return this._resetInitialAppIdData(data)}return data};AlgoliaSearchCore.prototype._resetInitialAppIdData=function(data){var newData=data||{};newData.hostIndexes={read:0,write:0};newData.timeoutMultiplier=1;newData.shuffleResult=newData.shuffleResult||shuffle([1,2,3]);return this._setAppIdData(newData)};AlgoliaSearchCore.prototype._cacheAppIdData=function(data){this._hostIndexes=data.hostIndexes;this._timeoutMultiplier=data.timeoutMultiplier;this._shuffleResult=data.shuffleResult};AlgoliaSearchCore.prototype._partialAppIdDataUpdate=function(newData){var foreach=__webpack_require__(2);var currentData=this._getAppIdData();foreach(newData,function(value,key){currentData[key]=value});return this._setAppIdData(currentData)};AlgoliaSearchCore.prototype._getHostByType=function(hostType){return this.hosts[hostType][this._getHostIndexByType(hostType)]};AlgoliaSearchCore.prototype._getTimeoutMultiplier=function(){return this._timeoutMultiplier};AlgoliaSearchCore.prototype._getHostIndexByType=function(hostType){return this._hostIndexes[hostType]};AlgoliaSearchCore.prototype._setHostIndexByType=function(hostIndex,hostType){var clone=__webpack_require__(3);var newHostIndexes=clone(this._hostIndexes);newHostIndexes[hostType]=hostIndex;this._partialAppIdDataUpdate({hostIndexes:newHostIndexes});return hostIndex};AlgoliaSearchCore.prototype._incrementHostIndex=function(hostType){return this._setHostIndexByType((this._getHostIndexByType(hostType)+1)%this.hosts[hostType].length,hostType)};AlgoliaSearchCore.prototype._incrementTimeoutMultipler=function(){var timeoutMultiplier=Math.max(this._timeoutMultiplier+1,4);return this._partialAppIdDataUpdate({timeoutMultiplier:timeoutMultiplier})};AlgoliaSearchCore.prototype._getTimeoutsForRequest=function(hostType){return{connect:this._timeouts.connect*this._timeoutMultiplier,complete:this._timeouts[hostType]*this._timeoutMultiplier}};function prepareHost(protocol){return function prepare(host){return protocol+"//"+host.toLowerCase()}}function safeJSONStringify(obj){if(Array.prototype.toJSON===undefined){return JSON.stringify(obj)}var toJSON=Array.prototype.toJSON;delete Array.prototype.toJSON;var out=JSON.stringify(obj);Array.prototype.toJSON=toJSON;return out}function shuffle(array){var currentIndex=array.length;var temporaryValue;var randomIndex;while(currentIndex!==0){randomIndex=Math.floor(Math.random()*currentIndex);currentIndex-=1;temporaryValue=array[currentIndex];array[currentIndex]=array[randomIndex];array[randomIndex]=temporaryValue}return array}function removeCredentials(headers){var newHeaders={};for(var headerName in headers){if(Object.prototype.hasOwnProperty.call(headers,headerName)){var value;if(headerName==="x-algolia-api-key"||headerName==="x-algolia-application-id"){value="**hidden for security purposes**"}else{value=headers[headerName]}newHeaders[headerName]=value}}return newHeaders}},function(module,exports){module.exports=function exitPromise(fn,_setTimeout){_setTimeout(fn,0)}},function(module,exports,__webpack_require__){var buildSearchMethod=__webpack_require__(13);var deprecate=__webpack_require__(33);var deprecatedMessage=__webpack_require__(34);module.exports=IndexCore;function IndexCore(algoliasearch,indexName){this.indexName=indexName;this.as=algoliasearch;this.typeAheadArgs=null;this.typeAheadValueOption=null;this.cache={}}IndexCore.prototype.clearCache=function(){this.cache={}};IndexCore.prototype.search=buildSearchMethod("query");IndexCore.prototype.similarSearch=buildSearchMethod("similarQuery");IndexCore.prototype.browse=function(query,queryParameters,callback){var merge=__webpack_require__(35);var indexObj=this;var page;var hitsPerPage;if(arguments.length===0||arguments.length===1&&typeof arguments[0]==="function"){page=0;callback=arguments[0];query=undefined}else if(typeof arguments[0]==="number"){page=arguments[0];if(typeof arguments[1]==="number"){hitsPerPage=arguments[1]}else if(typeof arguments[1]==="function"){callback=arguments[1];hitsPerPage=undefined}query=undefined;queryParameters=undefined}else if(typeof arguments[0]==="object"){if(typeof arguments[1]==="function"){callback=arguments[1]}queryParameters=arguments[0];query=undefined}else if(typeof arguments[0]==="string"&&typeof arguments[1]==="function"){callback=arguments[1];queryParameters=undefined}queryParameters=merge({},queryParameters||{},{page:page,hitsPerPage:hitsPerPage,query:query});var params=this.as._getSearchParams(queryParameters,"");return this.as._jsonRequest({method:"POST",url:"/1/indexes/"+encodeURIComponent(indexObj.indexName)+"/browse",body:{params:params},hostType:"read",callback:callback})};IndexCore.prototype.browseFrom=function(cursor,callback){return this.as._jsonRequest({method:"POST",url:"/1/indexes/"+encodeURIComponent(this.indexName)+"/browse",body:{cursor:cursor},hostType:"read",callback:callback})};IndexCore.prototype.searchForFacetValues=function(params,callback){var clone=__webpack_require__(3);var omit=__webpack_require__(14);var usage="Usage: index.searchForFacetValues({facetName, facetQuery, ...params}[, callback])";if(params.facetName===undefined||params.facetQuery===undefined){throw new Error(usage)}var facetName=params.facetName;var filteredParams=omit(clone(params),function(keyName){return keyName==="facetName"});var searchParameters=this.as._getSearchParams(filteredParams,"");return this.as._jsonRequest({method:"POST",url:"/1/indexes/"+encodeURIComponent(this.indexName)+"/facets/"+encodeURIComponent(facetName)+"/query",hostType:"read",body:{params:searchParameters},callback:callback})};IndexCore.prototype.searchFacet=deprecate(function(params,callback){return this.searchForFacetValues(params,callback)},deprecatedMessage("index.searchFacet(params[, callback])","index.searchForFacetValues(params[, callback])"));IndexCore.prototype._search=function(params,url,callback,additionalUA){return this.as._jsonRequest({cache:this.cache,method:"POST",url:url||"/1/indexes/"+encodeURIComponent(this.indexName)+"/query",body:{params:params},hostType:"read",fallback:{method:"GET",url:"/1/indexes/"+encodeURIComponent(this.indexName),body:{params:params}},callback:callback,additionalUA:additionalUA})};IndexCore.prototype.getObject=function(objectID,attrs,callback){var indexObj=this;if(arguments.length===1||typeof attrs==="function"){callback=attrs;attrs=undefined}var params="";if(attrs!==undefined){params="?attributes=";for(var i=0;i<attrs.length;++i){if(i!==0){params+=","}params+=attrs[i]}}return this.as._jsonRequest({method:"GET",url:"/1/indexes/"+encodeURIComponent(indexObj.indexName)+"/"+encodeURIComponent(objectID)+params,hostType:"read",callback:callback})};IndexCore.prototype.getObjects=function(objectIDs,attributesToRetrieve,callback){var isArray=__webpack_require__(6);var map=__webpack_require__(7);var usage="Usage: index.getObjects(arrayOfObjectIDs[, callback])";if(!isArray(objectIDs)){throw new Error(usage)}var indexObj=this;if(arguments.length===1||typeof attributesToRetrieve==="function"){callback=attributesToRetrieve;attributesToRetrieve=undefined}var body={requests:map(objectIDs,function prepareRequest(objectID){var request={indexName:indexObj.indexName,objectID:objectID};if(attributesToRetrieve){request.attributesToRetrieve=attributesToRetrieve.join(",")}return request})};return this.as._jsonRequest({method:"POST",url:"/1/indexes/*/objects",hostType:"read",body:body,callback:callback})};IndexCore.prototype.as=null;IndexCore.prototype.indexName=null;IndexCore.prototype.typeAheadArgs=null;IndexCore.prototype.typeAheadValueOption=null},function(module,exports){module.exports=function deprecate(fn,message){var warned=false;function deprecated(){if(!warned){console.warn(message);warned=true}return fn.apply(this,arguments)}return deprecated}},function(module,exports){module.exports=function deprecatedMessage(previousUsage,newUsage){var githubAnchorLink=previousUsage.toLowerCase().replace(/[\.\(\)]/g,"");return"algoliasearch: `"+previousUsage+"` was replaced by `"+newUsage+"`. Please see https://github.com/algolia/algoliasearch-client-javascript/wiki/Deprecated#"+githubAnchorLink}},function(module,exports,__webpack_require__){var foreach=__webpack_require__(2);module.exports=function merge(destination){var sources=Array.prototype.slice.call(arguments);foreach(sources,function(source){for(var keyName in source){if(source.hasOwnProperty(keyName)){if(typeof destination[keyName]==="object"&&typeof source[keyName]==="object"){destination[keyName]=merge({},destination[keyName],source[keyName])}else if(source[keyName]!==undefined){destination[keyName]=source[keyName]}}}});return destination}},function(module,exports,__webpack_require__){"use strict";var has=Object.prototype.hasOwnProperty;var toStr=Object.prototype.toString;var slice=Array.prototype.slice;var isArgs=__webpack_require__(37);var isEnumerable=Object.prototype.propertyIsEnumerable;var hasDontEnumBug=!isEnumerable.call({toString:null},"toString");var hasProtoEnumBug=isEnumerable.call(function(){},"prototype");var dontEnums=["toString","toLocaleString","valueOf","hasOwnProperty","isPrototypeOf","propertyIsEnumerable","constructor"];var equalsConstructorPrototype=function(o){var ctor=o.constructor;return ctor&&ctor.prototype===o};var excludedKeys={$applicationCache:true,$console:true,$external:true,$frame:true,$frameElement:true,$frames:true,$innerHeight:true,$innerWidth:true,$outerHeight:true,$outerWidth:true,$pageXOffset:true,$pageYOffset:true,$parent:true,$scrollLeft:true,$scrollTop:true,$scrollX:true,$scrollY:true,$self:true,$webkitIndexedDB:true,$webkitStorageInfo:true,$window:true};var hasAutomationEqualityBug=function(){if(typeof window==="undefined"){return false}for(var k in window){try{if(!excludedKeys["$"+k]&&has.call(window,k)&&window[k]!==null&&typeof window[k]==="object"){try{equalsConstructorPrototype(window[k])}catch(e){return true}}}catch(e){return true}}return false}();var equalsConstructorPrototypeIfNotBuggy=function(o){if(typeof window==="undefined"||!hasAutomationEqualityBug){return equalsConstructorPrototype(o)}try{return equalsConstructorPrototype(o)}catch(e){return false}};var keysShim=function keys(object){var isObject=object!==null&&typeof object==="object";var isFunction=toStr.call(object)==="[object Function]";var isArguments=isArgs(object);var isString=isObject&&toStr.call(object)==="[object String]";var theKeys=[];if(!isObject&&!isFunction&&!isArguments){throw new TypeError("Object.keys called on a non-object")}var skipProto=hasProtoEnumBug&&isFunction;if(isString&&object.length>0&&!has.call(object,0)){for(var i=0;i<object.length;++i){theKeys.push(String(i))}}if(isArguments&&object.length>0){for(var j=0;j<object.length;++j){theKeys.push(String(j))}}else{for(var name in object){if(!(skipProto&&name==="prototype")&&has.call(object,name)){theKeys.push(String(name))}}}if(hasDontEnumBug){var skipConstructor=equalsConstructorPrototypeIfNotBuggy(object);for(var k=0;k<dontEnums.length;++k){if(!(skipConstructor&&dontEnums[k]==="constructor")&&has.call(object,dontEnums[k])){theKeys.push(dontEnums[k])}}}return theKeys};keysShim.shim=function shimObjectKeys(){if(Object.keys){var keysWorksWithArguments=function(){return(Object.keys(arguments)||"").length===2}(1,2);if(!keysWorksWithArguments){var originalKeys=Object.keys;Object.keys=function keys(object){if(isArgs(object)){return originalKeys(slice.call(object))}else{return originalKeys(object)}}}}else{Object.keys=keysShim}return Object.keys||keysShim};module.exports=keysShim},function(module,exports,__webpack_require__){"use strict";var toStr=Object.prototype.toString;module.exports=function isArguments(value){var str=toStr.call(value);var isArgs=str==="[object Arguments]";if(!isArgs){isArgs=str!=="[object Array]"&&value!==null&&typeof value==="object"&&typeof value.length==="number"&&value.length>=0&&toStr.call(value.callee)==="[object Function]"}return isArgs}},function(module,exports,__webpack_require__){(function(global){var debug=__webpack_require__(8)("algoliasearch:src/hostIndexState.js");var localStorageNamespace="algoliasearch-client-js";var store;var moduleStore={state:{},set:function(key,data){this.state[key]=data;return this.state[key]},get:function(key){return this.state[key]||null}};var localStorageStore={set:function(key,data){moduleStore.set(key,data);try{var namespace=JSON.parse(global.localStorage[localStorageNamespace]);namespace[key]=data;global.localStorage[localStorageNamespace]=JSON.stringify(namespace);return namespace[key]}catch(e){return localStorageFailure(key,e)}},get:function(key){try{return JSON.parse(global.localStorage[localStorageNamespace])[key]||null}catch(e){return localStorageFailure(key,e)}}};function localStorageFailure(key,e){debug("localStorage failed with",e);cleanup();store=moduleStore;return store.get(key)}store=supportsLocalStorage()?localStorageStore:moduleStore;module.exports={get:getOrSet,set:getOrSet,supportsLocalStorage:supportsLocalStorage};function getOrSet(key,data){if(arguments.length===1){return store.get(key)}return store.set(key,data)}function supportsLocalStorage(){try{if("localStorage"in global&&global.localStorage!==null){if(!global.localStorage[localStorageNamespace]){global.localStorage.setItem(localStorageNamespace,JSON.stringify({}))}return true}return false}catch(_){return false}}function cleanup(){try{global.localStorage.removeItem(localStorageNamespace)}catch(_){}}}).call(exports,__webpack_require__(4))},function(module,exports,__webpack_require__){exports=module.exports=createDebug.debug=createDebug["default"]=createDebug;exports.coerce=coerce;exports.disable=disable;exports.enable=enable;exports.enabled=enabled;exports.humanize=__webpack_require__(40);exports.names=[];exports.skips=[];exports.formatters={};var prevTime;function selectColor(namespace){var hash=0,i;for(i in namespace){hash=(hash<<5)-hash+namespace.charCodeAt(i);hash|=0}return exports.colors[Math.abs(hash)%exports.colors.length]}function createDebug(namespace){function debug(){if(!debug.enabled)return;var self=debug;var curr=+new Date;var ms=curr-(prevTime||curr);self.diff=ms;self.prev=prevTime;self.curr=curr;prevTime=curr;var args=new Array(arguments.length);for(var i=0;i<args.length;i++){args[i]=arguments[i]}args[0]=exports.coerce(args[0]);if("string"!==typeof args[0]){args.unshift("%O")}var index=0;args[0]=args[0].replace(/%([a-zA-Z%])/g,function(match,format){if(match==="%%")return match;index++;var formatter=exports.formatters[format];if("function"===typeof formatter){var val=args[index];match=formatter.call(self,val);args.splice(index,1);index--}return match});exports.formatArgs.call(self,args);var logFn=debug.log||exports.log||console.log.bind(console);logFn.apply(self,args)}debug.namespace=namespace;debug.enabled=exports.enabled(namespace);debug.useColors=exports.useColors();debug.color=selectColor(namespace);if("function"===typeof exports.init){exports.init(debug)}return debug}function enable(namespaces){exports.save(namespaces);exports.names=[];exports.skips=[];var split=(typeof namespaces==="string"?namespaces:"").split(/[\s,]+/);var len=split.length;for(var i=0;i<len;i++){if(!split[i])continue;namespaces=split[i].replace(/\*/g,".*?");if(namespaces[0]==="-"){exports.skips.push(new RegExp("^"+namespaces.substr(1)+"$"))}else{exports.names.push(new RegExp("^"+namespaces+"$"))}}}function disable(){exports.enable("")}function enabled(name){var i,len;for(i=0,len=exports.skips.length;i<len;i++){if(exports.skips[i].test(name)){return false}}for(i=0,len=exports.names.length;i<len;i++){if(exports.names[i].test(name)){return true}}return false}function coerce(val){if(val instanceof Error)return val.stack||val.message;return val}},function(module,exports){var s=1e3;var m=s*60;var h=m*60;var d=h*24;var y=d*365.25;module.exports=function(val,options){options=options||{};var type=typeof val;if(type==="string"&&val.length>0){return parse(val)}else if(type==="number"&&isNaN(val)===false){return options.long?fmtLong(val):fmtShort(val)}throw new Error("val is not a non-empty string or a valid number. val="+JSON.stringify(val))};function parse(str){str=String(str);if(str.length>100){return}var match=/^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(str);if(!match){return}var n=parseFloat(match[1]);var type=(match[2]||"ms").toLowerCase();switch(type){case"years":case"year":case"yrs":case"yr":case"y":return n*y;case"days":case"day":case"d":return n*d;case"hours":case"hour":case"hrs":case"hr":case"h":return n*h;case"minutes":case"minute":case"mins":case"min":case"m":return n*m;case"seconds":case"second":case"secs":case"sec":case"s":return n*s;case"milliseconds":case"millisecond":case"msecs":case"msec":case"ms":return n;default:return undefined}}function fmtShort(ms){if(ms>=d){return Math.round(ms/d)+"d"}if(ms>=h){return Math.round(ms/h)+"h"}if(ms>=m){return Math.round(ms/m)+"m"}if(ms>=s){return Math.round(ms/s)+"s"}return ms+"ms"}function fmtLong(ms){return plural(ms,d,"day")||plural(ms,h,"hour")||plural(ms,m,"minute")||plural(ms,s,"second")||ms+" ms"}function plural(ms,n,name){if(ms<n){return}if(ms<n*1.5){return Math.floor(ms/n)+" "+name}return Math.ceil(ms/n)+" "+name+"s"}},function(module,exports,__webpack_require__){"use strict";var global=__webpack_require__(42);var Promise=global.Promise||__webpack_require__(43).Promise;module.exports=function createAlgoliasearch(AlgoliaSearch,uaSuffix){var inherits=__webpack_require__(12);var errors=__webpack_require__(5);var inlineHeaders=__webpack_require__(44);var jsonpRequest=__webpack_require__(46);var places=__webpack_require__(47);uaSuffix=uaSuffix||"";if(false){require("debug").enable("algoliasearch*")}function algoliasearch(applicationID,apiKey,opts){var cloneDeep=__webpack_require__(3);opts=cloneDeep(opts||{});opts._ua=opts._ua||algoliasearch.ua;return new AlgoliaSearchBrowser(applicationID,apiKey,opts)}algoliasearch.version=__webpack_require__(48);algoliasearch.ua="Algolia for vanilla JavaScript "+uaSuffix+algoliasearch.version;algoliasearch.initPlaces=places(algoliasearch);global.__algolia={debug:__webpack_require__(8),algoliasearch:algoliasearch};var support={hasXMLHttpRequest:"XMLHttpRequest"in global,hasXDomainRequest:"XDomainRequest"in global};if(support.hasXMLHttpRequest){support.cors="withCredentials"in new XMLHttpRequest}function AlgoliaSearchBrowser(){AlgoliaSearch.apply(this,arguments)}inherits(AlgoliaSearchBrowser,AlgoliaSearch);AlgoliaSearchBrowser.prototype._request=function request(url,opts){return new Promise(function wrapRequest(resolve,reject){if(!support.cors&&!support.hasXDomainRequest){reject(new errors.Network("CORS not supported"));return}url=inlineHeaders(url,opts.headers);var body=opts.body;var req=support.cors?new XMLHttpRequest:new XDomainRequest;var reqTimeout;var timedOut;var connected=false;reqTimeout=setTimeout(onTimeout,opts.timeouts.connect);req.onprogress=onProgress;if("onreadystatechange"in req)req.onreadystatechange=onReadyStateChange;req.onload=onLoad;req.onerror=onError;if(req instanceof XMLHttpRequest){req.open(opts.method,url,true);if(opts.forceAuthHeaders){req.setRequestHeader("x-algolia-application-id",opts.headers["x-algolia-application-id"]);req.setRequestHeader("x-algolia-api-key",opts.headers["x-algolia-api-key"])}}else{req.open(opts.method,url)}if(support.cors){if(body){if(opts.method==="POST"){req.setRequestHeader("content-type","application/x-www-form-urlencoded")}else{req.setRequestHeader("content-type","application/json")}}req.setRequestHeader("accept","application/json")}if(body){req.send(body)}else{req.send()}function onLoad(){if(timedOut){return}clearTimeout(reqTimeout);var out;try{out={body:JSON.parse(req.responseText),responseText:req.responseText,statusCode:req.status,headers:req.getAllResponseHeaders&&req.getAllResponseHeaders()||{}}}catch(e){out=new errors.UnparsableJSON({more:req.responseText})}if(out instanceof errors.UnparsableJSON){reject(out)}else{resolve(out)}}function onError(event){if(timedOut){return}clearTimeout(reqTimeout);reject(new errors.Network({more:event}))}function onTimeout(){timedOut=true;req.abort();reject(new errors.RequestTimeout)}function onConnect(){connected=true;clearTimeout(reqTimeout);reqTimeout=setTimeout(onTimeout,opts.timeouts.complete)}function onProgress(){if(!connected)onConnect()}function onReadyStateChange(){if(!connected&&req.readyState>1)onConnect()}})};AlgoliaSearchBrowser.prototype._request.fallback=function requestFallback(url,opts){url=inlineHeaders(url,opts.headers);return new Promise(function wrapJsonpRequest(resolve,reject){jsonpRequest(url,opts,function jsonpRequestDone(err,content){if(err){reject(err);return}resolve(content)})})};AlgoliaSearchBrowser.prototype._promise={reject:function rejectPromise(val){return Promise.reject(val)},resolve:function resolvePromise(val){return Promise.resolve(val)},delay:function delayPromise(ms){return new Promise(function resolveOnTimeout(resolve){setTimeout(resolve,ms)})},all:function all(promises){return Promise.all(promises)}};return algoliasearch}},function(module,exports,__webpack_require__){(function(global){var win;if(typeof window!=="undefined"){win=window}else if(typeof global!=="undefined"){win=global}else if(typeof self!=="undefined"){win=self}else{win={}}module.exports=win}).call(exports,__webpack_require__(4))},function(module,exports,__webpack_require__){(function(process,global){(function(global,factory){true?module.exports=factory():typeof define==="function"&&define.amd?define(factory):global.ES6Promise=factory()})(this,function(){"use strict";function objectOrFunction(x){var type=typeof x;return x!==null&&(type==="object"||type==="function")}function isFunction(x){return typeof x==="function"}var _isArray=void 0;if(Array.isArray){_isArray=Array.isArray}else{_isArray=function(x){return Object.prototype.toString.call(x)==="[object Array]"}}var isArray=_isArray;var len=0;var vertxNext=void 0;var customSchedulerFn=void 0;var asap=function asap(callback,arg){queue[len]=callback;queue[len+1]=arg;len+=2;if(len===2){if(customSchedulerFn){customSchedulerFn(flush)}else{scheduleFlush()}}};function setScheduler(scheduleFn){customSchedulerFn=scheduleFn}function setAsap(asapFn){asap=asapFn}var browserWindow=typeof window!=="undefined"?window:undefined;var browserGlobal=browserWindow||{};var BrowserMutationObserver=browserGlobal.MutationObserver||browserGlobal.WebKitMutationObserver;var isNode=typeof self==="undefined"&&typeof process!=="undefined"&&{}.toString.call(process)==="[object process]";var isWorker=typeof Uint8ClampedArray!=="undefined"&&typeof importScripts!=="undefined"&&typeof MessageChannel!=="undefined";function useNextTick(){return function(){return process.nextTick(flush)}}function useVertxTimer(){if(typeof vertxNext!=="undefined"){return function(){vertxNext(flush)}}return useSetTimeout()}function useMutationObserver(){var iterations=0;var observer=new BrowserMutationObserver(flush);var node=document.createTextNode("");observer.observe(node,{characterData:true});return function(){node.data=iterations=++iterations%2}}function useMessageChannel(){var channel=new MessageChannel;channel.port1.onmessage=flush;return function(){return channel.port2.postMessage(0)}}function useSetTimeout(){var globalSetTimeout=setTimeout;return function(){return globalSetTimeout(flush,1)}}var queue=new Array(1e3);function flush(){for(var i=0;i<len;i+=2){var callback=queue[i];var arg=queue[i+1];callback(arg);queue[i]=undefined;queue[i+1]=undefined}len=0}function attemptVertx(){try{var vertx=Function("return this")().require("vertx");vertxNext=vertx.runOnLoop||vertx.runOnContext;return useVertxTimer()}catch(e){return useSetTimeout()}}var scheduleFlush=void 0;if(isNode){scheduleFlush=useNextTick()}else if(BrowserMutationObserver){scheduleFlush=useMutationObserver()}else if(isWorker){scheduleFlush=useMessageChannel()}else if(browserWindow===undefined&&"function"==="function"){scheduleFlush=attemptVertx()}else{scheduleFlush=useSetTimeout()}function then(onFulfillment,onRejection){var parent=this;var child=new this.constructor(noop);if(child[PROMISE_ID]===undefined){makePromise(child)}var _state=parent._state;if(_state){var callback=arguments[_state-1];asap(function(){return invokeCallback(_state,child,callback,parent._result)})}else{subscribe(parent,child,onFulfillment,onRejection)}return child}function resolve$1(object){var Constructor=this;if(object&&typeof object==="object"&&object.constructor===Constructor){return object}var promise=new Constructor(noop);resolve(promise,object);return promise}var PROMISE_ID=Math.random().toString(36).substring(2);function noop(){}var PENDING=void 0;var FULFILLED=1;var REJECTED=2;var TRY_CATCH_ERROR={error:null};function selfFulfillment(){return new TypeError("You cannot resolve a promise with itself")}function cannotReturnOwn(){return new TypeError("A promises callback cannot return that same promise.")}function getThen(promise){try{return promise.then}catch(error){TRY_CATCH_ERROR.error=error;return TRY_CATCH_ERROR}}function tryThen(then$$1,value,fulfillmentHandler,rejectionHandler){try{then$$1.call(value,fulfillmentHandler,rejectionHandler)}catch(e){return e}}function handleForeignThenable(promise,thenable,then$$1){asap(function(promise){var sealed=false;var error=tryThen(then$$1,thenable,function(value){if(sealed){return}sealed=true;if(thenable!==value){resolve(promise,value)}else{fulfill(promise,value)}},function(reason){if(sealed){return}sealed=true;reject(promise,reason)},"Settle: "+(promise._label||" unknown promise"));if(!sealed&&error){sealed=true;reject(promise,error)}},promise)}function handleOwnThenable(promise,thenable){if(thenable._state===FULFILLED){fulfill(promise,thenable._result)}else if(thenable._state===REJECTED){reject(promise,thenable._result)}else{subscribe(thenable,undefined,function(value){return resolve(promise,value)},function(reason){return reject(promise,reason)})}}function handleMaybeThenable(promise,maybeThenable,then$$1){if(maybeThenable.constructor===promise.constructor&&then$$1===then&&maybeThenable.constructor.resolve===resolve$1){handleOwnThenable(promise,maybeThenable)}else{if(then$$1===TRY_CATCH_ERROR){reject(promise,TRY_CATCH_ERROR.error);TRY_CATCH_ERROR.error=null}else if(then$$1===undefined){fulfill(promise,maybeThenable)}else if(isFunction(then$$1)){handleForeignThenable(promise,maybeThenable,then$$1)}else{fulfill(promise,maybeThenable)}}}function resolve(promise,value){if(promise===value){reject(promise,selfFulfillment())}else if(objectOrFunction(value)){handleMaybeThenable(promise,value,getThen(value))}else{fulfill(promise,value)}}function publishRejection(promise){if(promise._onerror){promise._onerror(promise._result)}publish(promise)}function fulfill(promise,value){if(promise._state!==PENDING){return}promise._result=value;promise._state=FULFILLED;if(promise._subscribers.length!==0){asap(publish,promise)}}function reject(promise,reason){if(promise._state!==PENDING){return}promise._state=REJECTED;promise._result=reason;asap(publishRejection,promise)}function subscribe(parent,child,onFulfillment,onRejection){var _subscribers=parent._subscribers;var length=_subscribers.length;parent._onerror=null;_subscribers[length]=child;_subscribers[length+FULFILLED]=onFulfillment;_subscribers[length+REJECTED]=onRejection;if(length===0&&parent._state){asap(publish,parent)}}function publish(promise){var subscribers=promise._subscribers;var settled=promise._state;if(subscribers.length===0){return}var child=void 0,callback=void 0,detail=promise._result;for(var i=0;i<subscribers.length;i+=3){child=subscribers[i];callback=subscribers[i+settled];if(child){invokeCallback(settled,child,callback,detail)}else{callback(detail)}}promise._subscribers.length=0}function tryCatch(callback,detail){try{return callback(detail)}catch(e){TRY_CATCH_ERROR.error=e;return TRY_CATCH_ERROR}}function invokeCallback(settled,promise,callback,detail){var hasCallback=isFunction(callback),value=void 0,error=void 0,succeeded=void 0,failed=void 0;if(hasCallback){value=tryCatch(callback,detail);if(value===TRY_CATCH_ERROR){failed=true;error=value.error;value.error=null}else{succeeded=true}if(promise===value){reject(promise,cannotReturnOwn());return}}else{value=detail;succeeded=true}if(promise._state!==PENDING){}else if(hasCallback&&succeeded){resolve(promise,value)}else if(failed){reject(promise,error)}else if(settled===FULFILLED){fulfill(promise,value)}else if(settled===REJECTED){reject(promise,value)}}function initializePromise(promise,resolver){try{resolver(function resolvePromise(value){resolve(promise,value)},function rejectPromise(reason){reject(promise,reason)})}catch(e){reject(promise,e)}}var id=0;function nextId(){return id++}function makePromise(promise){promise[PROMISE_ID]=id++;promise._state=undefined;promise._result=undefined;promise._subscribers=[]}function validationError(){return new Error("Array Methods must be provided an Array")}var Enumerator=function(){function Enumerator(Constructor,input){this._instanceConstructor=Constructor;this.promise=new Constructor(noop);if(!this.promise[PROMISE_ID]){makePromise(this.promise)}if(isArray(input)){this.length=input.length;this._remaining=input.length;this._result=new Array(this.length);if(this.length===0){fulfill(this.promise,this._result)}else{this.length=this.length||0;this._enumerate(input);if(this._remaining===0){fulfill(this.promise,this._result)}}}else{reject(this.promise,validationError())}}Enumerator.prototype._enumerate=function _enumerate(input){for(var i=0;this._state===PENDING&&i<input.length;i++){this._eachEntry(input[i],i)}};Enumerator.prototype._eachEntry=function _eachEntry(entry,i){var c=this._instanceConstructor;var resolve$$1=c.resolve;if(resolve$$1===resolve$1){var _then=getThen(entry);if(_then===then&&entry._state!==PENDING){this._settledAt(entry._state,i,entry._result)}else if(typeof _then!=="function"){this._remaining--;this._result[i]=entry}else if(c===Promise$1){var promise=new c(noop);handleMaybeThenable(promise,entry,_then);this._willSettleAt(promise,i)}else{this._willSettleAt(new c(function(resolve$$1){return resolve$$1(entry)}),i)}}else{this._willSettleAt(resolve$$1(entry),i)}};Enumerator.prototype._settledAt=function _settledAt(state,i,value){var promise=this.promise;if(promise._state===PENDING){this._remaining--;if(state===REJECTED){reject(promise,value)}else{this._result[i]=value}}if(this._remaining===0){fulfill(promise,this._result)}};Enumerator.prototype._willSettleAt=function _willSettleAt(promise,i){var enumerator=this;subscribe(promise,undefined,function(value){return enumerator._settledAt(FULFILLED,i,value)},function(reason){return enumerator._settledAt(REJECTED,i,reason)})};return Enumerator}();function all(entries){return new Enumerator(this,entries).promise}function race(entries){var Constructor=this;if(!isArray(entries)){return new Constructor(function(_,reject){return reject(new TypeError("You must pass an array to race."))})}else{return new Constructor(function(resolve,reject){var length=entries.length;for(var i=0;i<length;i++){Constructor.resolve(entries[i]).then(resolve,reject)}})}}function reject$1(reason){var Constructor=this;var promise=new Constructor(noop);reject(promise,reason);return promise}function needsResolver(){throw new TypeError("You must pass a resolver function as the first argument to the promise constructor")}function needsNew(){throw new TypeError("Failed to construct 'Promise': Please use the 'new' operator, this object constructor cannot be called as a function.")}var Promise$1=function(){function Promise(resolver){this[PROMISE_ID]=nextId();this._result=this._state=undefined;this._subscribers=[];if(noop!==resolver){typeof resolver!=="function"&&needsResolver();this instanceof Promise?initializePromise(this,resolver):needsNew()}}Promise.prototype.catch=function _catch(onRejection){return this.then(null,onRejection)};Promise.prototype.finally=function _finally(callback){var promise=this;var constructor=promise.constructor;return promise.then(function(value){return constructor.resolve(callback()).then(function(){return value})},function(reason){return constructor.resolve(callback()).then(function(){throw reason})})};return Promise}();Promise$1.prototype.then=then;Promise$1.all=all;Promise$1.race=race;Promise$1.resolve=resolve$1;Promise$1.reject=reject$1;Promise$1._setScheduler=setScheduler;Promise$1._setAsap=setAsap;Promise$1._asap=asap;function polyfill(){var local=void 0;if(typeof global!=="undefined"){local=global}else if(typeof self!=="undefined"){local=self}else{try{local=Function("return this")()}catch(e){throw new Error("polyfill failed because global object is unavailable in this environment")}}var P=local.Promise;if(P){var promiseToString=null;try{promiseToString=Object.prototype.toString.call(P.resolve())}catch(e){}if(promiseToString==="[object Promise]"&&!P.cast){return}}local.Promise=Promise$1}Promise$1.polyfill=polyfill;Promise$1.Promise=Promise$1;return Promise$1})}).call(exports,__webpack_require__(9),__webpack_require__(4))},function(module,exports,__webpack_require__){"use strict";module.exports=inlineHeaders;var encode=__webpack_require__(45);function inlineHeaders(url,headers){if(/\?/.test(url)){url+="&"}else{url+="?"}return url+encode(headers)}},function(module,exports,__webpack_require__){"use strict";var stringifyPrimitive=function(v){switch(typeof v){case"string":return v;case"boolean":return v?"true":"false";case"number":return isFinite(v)?v:"";default:return""}};module.exports=function(obj,sep,eq,name){sep=sep||"&";eq=eq||"=";if(obj===null){obj=undefined}if(typeof obj==="object"){return map(objectKeys(obj),function(k){var ks=encodeURIComponent(stringifyPrimitive(k))+eq;if(isArray(obj[k])){return map(obj[k],function(v){return ks+encodeURIComponent(stringifyPrimitive(v))}).join(sep)}else{return ks+encodeURIComponent(stringifyPrimitive(obj[k]))}}).join(sep)}if(!name)return"";return encodeURIComponent(stringifyPrimitive(name))+eq+encodeURIComponent(stringifyPrimitive(obj))};var isArray=Array.isArray||function(xs){return Object.prototype.toString.call(xs)==="[object Array]"};function map(xs,f){if(xs.map)return xs.map(f);var res=[];for(var i=0;i<xs.length;i++){res.push(f(xs[i],i))}return res}var objectKeys=Object.keys||function(obj){var res=[];for(var key in obj){if(Object.prototype.hasOwnProperty.call(obj,key))res.push(key)}return res}},function(module,exports,__webpack_require__){"use strict";module.exports=jsonpRequest;var errors=__webpack_require__(5);var JSONPCounter=0;function jsonpRequest(url,opts,cb){if(opts.method!=="GET"){cb(new Error("Method "+opts.method+" "+url+" is not supported by JSONP."));return}opts.debug("JSONP: start");var cbCalled=false;var timedOut=false;JSONPCounter+=1;var head=document.getElementsByTagName("head")[0];var script=document.createElement("script");var cbName="algoliaJSONP_"+JSONPCounter;var done=false;window[cbName]=function(data){removeGlobals();if(timedOut){opts.debug("JSONP: Late answer, ignoring");return}cbCalled=true;clean();cb(null,{body:data,responseText:JSON.stringify(data)})};url+="&callback="+cbName;if(opts.jsonBody&&opts.jsonBody.params){url+="&"+opts.jsonBody.params}var ontimeout=setTimeout(timeout,opts.timeouts.complete);script.onreadystatechange=readystatechange;script.onload=success;script.onerror=error;script.async=true;script.defer=true;script.src=url;head.appendChild(script);function success(){opts.debug("JSONP: success");if(done||timedOut){return}done=true;if(!cbCalled){opts.debug("JSONP: Fail. Script loaded but did not call the callback");clean();cb(new errors.JSONPScriptFail)}}function readystatechange(){if(this.readyState==="loaded"||this.readyState==="complete"){success()}}function clean(){clearTimeout(ontimeout);script.onload=null;script.onreadystatechange=null;script.onerror=null;head.removeChild(script)}function removeGlobals(){try{delete window[cbName];delete window[cbName+"_loaded"]}catch(e){window[cbName]=window[cbName+"_loaded"]=undefined}}function timeout(){opts.debug("JSONP: Script timeout");timedOut=true;clean();cb(new errors.RequestTimeout)}function error(){opts.debug("JSONP: Script error");if(done||timedOut){return}clean();cb(new errors.JSONPScriptError)}}},function(module,exports,__webpack_require__){module.exports=createPlacesClient;var buildSearchMethod=__webpack_require__(13);function createPlacesClient(algoliasearch){return function places(appID,apiKey,opts){var cloneDeep=__webpack_require__(3);opts=opts&&cloneDeep(opts)||{};opts.hosts=opts.hosts||["places-dsn.algolia.net","places-1.algolianet.com","places-2.algolianet.com","places-3.algolianet.com"];if(arguments.length===0||typeof appID==="object"||appID===undefined){appID="";apiKey="";opts._allowEmptyCredentials=true}var client=algoliasearch(appID,apiKey,opts);var index=client.initIndex("places");index.search=buildSearchMethod("query","/1/places/query");index.getObject=function(objectID,callback){return this.as._jsonRequest({method:"GET",url:"/1/places/"+encodeURIComponent(objectID),hostType:"read",callback:callback})};return index}}},function(module,exports,__webpack_require__){"use strict";module.exports="3.30.0"},function(module,exports,__webpack_require__){"use strict";module.exports=__webpack_require__(50)},function(module,exports,__webpack_require__){"use strict";var zepto=__webpack_require__(15);var DOM=__webpack_require__(1);DOM.element=zepto;var _=__webpack_require__(0);_.isArray=zepto.isArray;_.isFunction=zepto.isFunction;_.isObject=zepto.isPlainObject;_.bind=zepto.proxy;_.each=function(collection,cb){zepto.each(collection,reverseArgs);function reverseArgs(index,value){return cb(value,index)}};_.map=zepto.map;_.mixin=zepto.extend;_.Event=zepto.Event;var typeaheadKey="aaAutocomplete";var Typeahead=__webpack_require__(51);var EventBus=__webpack_require__(16);function autocomplete(selector,options,datasets,typeaheadObject){datasets=_.isArray(datasets)?datasets:[].slice.call(arguments,2);var inputs=zepto(selector).each(function(i,input){var $input=zepto(input);var eventBus=new EventBus({el:$input});var typeahead=typeaheadObject||new Typeahead({input:$input,eventBus:eventBus,dropdownMenuContainer:options.dropdownMenuContainer,hint:options.hint===undefined?true:!!options.hint,minLength:options.minLength,autoselect:options.autoselect,autoselectOnBlur:options.autoselectOnBlur,tabAutocomplete:options.tabAutocomplete,openOnFocus:options.openOnFocus,templates:options.templates,debug:options.debug,clearOnSelected:options.clearOnSelected,cssClasses:options.cssClasses,datasets:datasets,keyboardShortcuts:options.keyboardShortcuts,appendTo:options.appendTo,autoWidth:options.autoWidth,ariaLabel:options.ariaLabel||input.getAttribute("aria-label")});$input.data(typeaheadKey,typeahead)});inputs.autocomplete={};_.each(["open","close","getVal","setVal","destroy","getWrapper"],function(method){inputs.autocomplete[method]=function(){var methodArguments=arguments;var result;inputs.each(function(j,input){var typeahead=zepto(input).data(typeaheadKey);result=typeahead[method].apply(typeahead,methodArguments)});return result}});return inputs}autocomplete.sources=Typeahead.sources;autocomplete.escapeHighlightedString=_.escapeHighlightedString;var wasAutocompleteSet="autocomplete"in window;var oldAutocomplete=window.autocomplete;autocomplete.noConflict=function noConflict(){if(wasAutocompleteSet){window.autocomplete=oldAutocomplete}else{delete window.autocomplete}return autocomplete};module.exports=autocomplete},function(module,exports,__webpack_require__){"use strict";var attrsKey="aaAttrs";var _=__webpack_require__(0);var DOM=__webpack_require__(1);var EventBus=__webpack_require__(16);var Input=__webpack_require__(52);var Dropdown=__webpack_require__(59);var html=__webpack_require__(17);var css=__webpack_require__(11);function Typeahead(o){var $menu;var $hint;o=o||{};if(!o.input){_.error("missing input")}this.isActivated=false;this.debug=!!o.debug;this.autoselect=!!o.autoselect;this.autoselectOnBlur=!!o.autoselectOnBlur;this.openOnFocus=!!o.openOnFocus;this.minLength=_.isNumber(o.minLength)?o.minLength:1;this.autoWidth=o.autoWidth===undefined?true:!!o.autoWidth;this.clearOnSelected=!!o.clearOnSelected;this.tabAutocomplete=o.tabAutocomplete===undefined?true:!!o.tabAutocomplete;o.hint=!!o.hint;if(o.hint&&o.appendTo){throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same time")}this.css=o.css=_.mixin({},css,o.appendTo?css.appendTo:{});this.cssClasses=o.cssClasses=_.mixin({},css.defaultClasses,o.cssClasses||{});this.cssClasses.prefix=o.cssClasses.formattedPrefix=_.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);this.listboxId=o.listboxId=[this.cssClasses.root,"listbox",_.getUniqueId()].join("-");var domElts=buildDom(o);this.$node=domElts.wrapper;var $input=this.$input=domElts.input;$menu=domElts.menu;$hint=domElts.hint;if(o.dropdownMenuContainer){DOM.element(o.dropdownMenuContainer).css("position","relative").append($menu.css("top","0"))}$input.on("blur.aa",function($e){var active=document.activeElement;if(_.isMsie()&&($menu[0]===active||$menu[0].contains(active))){$e.preventDefault();$e.stopImmediatePropagation();_.defer(function(){$input.focus()})}});$menu.on("mousedown.aa",function($e){$e.preventDefault()});this.eventBus=o.eventBus||new EventBus({el:$input});this.dropdown=new Typeahead.Dropdown({appendTo:o.appendTo,wrapper:this.$node,menu:$menu,datasets:o.datasets,templates:o.templates,cssClasses:o.cssClasses,minLength:this.minLength}).onSync("suggestionClicked",this._onSuggestionClicked,this).onSync("cursorMoved",this._onCursorMoved,this).onSync("cursorRemoved",this._onCursorRemoved,this).onSync("opened",this._onOpened,this).onSync("closed",this._onClosed,this).onSync("shown",this._onShown,this).onSync("empty",this._onEmpty,this).onSync("redrawn",this._onRedrawn,this).onAsync("datasetRendered",this._onDatasetRendered,this);this.input=new Typeahead.Input({input:$input,hint:$hint}).onSync("focused",this._onFocused,this).onSync("blurred",this._onBlurred,this).onSync("enterKeyed",this._onEnterKeyed,this).onSync("tabKeyed",this._onTabKeyed,this).onSync("escKeyed",this._onEscKeyed,this).onSync("upKeyed",this._onUpKeyed,this).onSync("downKeyed",this._onDownKeyed,this).onSync("leftKeyed",this._onLeftKeyed,this).onSync("rightKeyed",this._onRightKeyed,this).onSync("queryChanged",this._onQueryChanged,this).onSync("whitespaceChanged",this._onWhitespaceChanged,this);this._bindKeyboardShortcuts(o);this._setLanguageDirection()}_.mixin(Typeahead.prototype,{_bindKeyboardShortcuts:function(options){if(!options.keyboardShortcuts){return}var $input=this.$input;var keyboardShortcuts=[];_.each(options.keyboardShortcuts,function(key){if(typeof key==="string"){key=key.toUpperCase().charCodeAt(0)}keyboardShortcuts.push(key)});DOM.element(document).keydown(function(event){var elt=event.target||event.srcElement;var tagName=elt.tagName;if(elt.isContentEditable||tagName==="INPUT"||tagName==="SELECT"||tagName==="TEXTAREA"){return}var which=event.which||event.keyCode;if(keyboardShortcuts.indexOf(which)===-1){return}$input.focus();event.stopPropagation();event.preventDefault()})},_onSuggestionClicked:function onSuggestionClicked(type,$el){var datum;var context={selectionMethod:"click"};if(datum=this.dropdown.getDatumForSuggestion($el)){this._select(datum,context)}},_onCursorMoved:function onCursorMoved(event,updateInput){var datum=this.dropdown.getDatumForCursor();var currentCursorId=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(currentCursorId);if(datum){if(updateInput){this.input.setInputValue(datum.value,true)}this.eventBus.trigger("cursorchanged",datum.raw,datum.datasetName)}},_onCursorRemoved:function onCursorRemoved(){this.input.resetInputValue();this._updateHint();this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function onDatasetRendered(){this._updateHint();this.eventBus.trigger("updated")},_onOpened:function onOpened(){this._updateHint();this.input.expand();this.eventBus.trigger("opened")},_onEmpty:function onEmpty(){this.eventBus.trigger("empty")},_onRedrawn:function onRedrawn(){this.$node.css("top",0+"px");this.$node.css("left",0+"px");var inputRect=this.$input[0].getBoundingClientRect();if(this.autoWidth){this.$node.css("width",inputRect.width+"px")}var wrapperRect=this.$node[0].getBoundingClientRect();var top=inputRect.bottom-wrapperRect.top;this.$node.css("top",top+"px");var left=inputRect.left-wrapperRect.left;this.$node.css("left",left+"px");this.eventBus.trigger("redrawn")},_onShown:function onShown(){this.eventBus.trigger("shown");if(this.autoselect){this.dropdown.cursorTopSuggestion()}},_onClosed:function onClosed(){this.input.clearHint();this.input.removeActiveDescendant();this.input.collapse();this.eventBus.trigger("closed")},_onFocused:function onFocused(){this.isActivated=true;if(this.openOnFocus){var query=this.input.getQuery();if(query.length>=this.minLength){this.dropdown.update(query)}else{this.dropdown.empty()}this.dropdown.open()}},_onBlurred:function onBlurred(){var cursorDatum;var topSuggestionDatum;cursorDatum=this.dropdown.getDatumForCursor();topSuggestionDatum=this.dropdown.getDatumForTopSuggestion();var context={selectionMethod:"blur"};if(!this.debug){if(this.autoselectOnBlur&&cursorDatum){this._select(cursorDatum,context)}else if(this.autoselectOnBlur&&topSuggestionDatum){this._select(topSuggestionDatum,context)}else{this.isActivated=false;this.dropdown.empty();this.dropdown.close()}}},_onEnterKeyed:function onEnterKeyed(type,$e){var cursorDatum;var topSuggestionDatum;cursorDatum=this.dropdown.getDatumForCursor();topSuggestionDatum=this.dropdown.getDatumForTopSuggestion();var context={selectionMethod:"enterKey"};if(cursorDatum){this._select(cursorDatum,context);$e.preventDefault()}else if(this.autoselect&&topSuggestionDatum){this._select(topSuggestionDatum,context);$e.preventDefault()}},_onTabKeyed:function onTabKeyed(type,$e){if(!this.tabAutocomplete){this.dropdown.close();return}var datum;var context={selectionMethod:"tabKey"};if(datum=this.dropdown.getDatumForCursor()){this._select(datum,context);$e.preventDefault()}else{this._autocomplete(true)}},_onEscKeyed:function onEscKeyed(){this.dropdown.close();this.input.resetInputValue()},_onUpKeyed:function onUpKeyed(){var query=this.input.getQuery();if(this.dropdown.isEmpty&&query.length>=this.minLength){this.dropdown.update(query)}else{this.dropdown.moveCursorUp()}this.dropdown.open()},_onDownKeyed:function onDownKeyed(){var query=this.input.getQuery();if(this.dropdown.isEmpty&&query.length>=this.minLength){this.dropdown.update(query)}else{this.dropdown.moveCursorDown()}this.dropdown.open()},_onLeftKeyed:function onLeftKeyed(){if(this.dir==="rtl"){this._autocomplete()}},_onRightKeyed:function onRightKeyed(){if(this.dir==="ltr"){this._autocomplete()}},_onQueryChanged:function onQueryChanged(e,query){this.input.clearHintIfInvalid();if(query.length>=this.minLength){this.dropdown.update(query)}else{this.dropdown.empty()}this.dropdown.open();this._setLanguageDirection()},_onWhitespaceChanged:function onWhitespaceChanged(){this._updateHint();this.dropdown.open()},_setLanguageDirection:function setLanguageDirection(){var dir=this.input.getLanguageDirection();if(this.dir!==dir){this.dir=dir;this.$node.css("direction",dir);this.dropdown.setLanguageDirection(dir)}},_updateHint:function updateHint(){var datum;var val;var query;var escapedQuery;var frontMatchRegEx;var match;datum=this.dropdown.getDatumForTopSuggestion();if(datum&&this.dropdown.isVisible()&&!this.input.hasOverflow()){val=this.input.getInputValue();query=Input.normalizeQuery(val);escapedQuery=_.escapeRegExChars(query);frontMatchRegEx=new RegExp("^(?:"+escapedQuery+")(.+$)","i");match=frontMatchRegEx.exec(datum.value);if(match){this.input.setHint(val+match[1])}else{this.input.clearHint()}}else{this.input.clearHint()}},_autocomplete:function autocomplete(laxCursor){var hint;var query;var isCursorAtEnd;var datum;hint=this.input.getHint();query=this.input.getQuery();isCursorAtEnd=laxCursor||this.input.isCursorAtEnd();if(hint&&query!==hint&&isCursorAtEnd){datum=this.dropdown.getDatumForTopSuggestion();if(datum){this.input.setInputValue(datum.value)}this.eventBus.trigger("autocompleted",datum.raw,datum.datasetName)}},_select:function select(datum,context){if(typeof datum.value!=="undefined"){this.input.setQuery(datum.value)}if(this.clearOnSelected){this.setVal("")}else{this.input.setInputValue(datum.value,true)}this._setLanguageDirection();var event=this.eventBus.trigger("selected",datum.raw,datum.datasetName,context);if(event.isDefaultPrevented()===false){this.dropdown.close();_.defer(_.bind(this.dropdown.empty,this.dropdown))}},open:function open(){if(!this.isActivated){var query=this.input.getInputValue();if(query.length>=this.minLength){this.dropdown.update(query)}else{this.dropdown.empty()}}this.dropdown.open()},close:function close(){this.dropdown.close()},setVal:function setVal(val){val=_.toStr(val);if(this.isActivated){this.input.setInputValue(val)}else{this.input.setQuery(val);this.input.setInputValue(val,true)}this._setLanguageDirection()},getVal:function getVal(){return this.input.getQuery()},destroy:function destroy(){this.input.destroy();this.dropdown.destroy();destroyDomStructure(this.$node,this.cssClasses);this.$node=null},getWrapper:function getWrapper(){return this.dropdown.$container[0]}});function buildDom(options){var $input;var $wrapper;var $dropdown;var $hint;$input=DOM.element(options.input);$wrapper=DOM.element(html.wrapper.replace("%ROOT%",options.cssClasses.root)).css(options.css.wrapper);if(!options.appendTo&&$input.css("display")==="block"&&$input.parent().css("display")==="table"){$wrapper.css("display","table-cell")}var dropdownHtml=html.dropdown.replace("%PREFIX%",options.cssClasses.prefix).replace("%DROPDOWN_MENU%",options.cssClasses.dropdownMenu);$dropdown=DOM.element(dropdownHtml).css(options.css.dropdown).attr({role:"listbox",id:options.listboxId});if(options.templates&&options.templates.dropdownMenu){$dropdown.html(_.templatify(options.templates.dropdownMenu)())}$hint=$input.clone().css(options.css.hint).css(getBackgroundStyles($input));$hint.val("").addClass(_.className(options.cssClasses.prefix,options.cssClasses.hint,true)).removeAttr("id name placeholder required").prop("readonly",true).attr({"aria-hidden":"true",autocomplete:"off",spellcheck:"false",tabindex:-1});if($hint.removeData){$hint.removeData()}$input.data(attrsKey,{"aria-autocomplete":$input.attr("aria-autocomplete"),"aria-expanded":$input.attr("aria-expanded"),"aria-owns":$input.attr("aria-owns"),autocomplete:$input.attr("autocomplete"),dir:$input.attr("dir"),role:$input.attr("role"),spellcheck:$input.attr("spellcheck"),style:$input.attr("style"),type:$input.attr("type")});$input.addClass(_.className(options.cssClasses.prefix,options.cssClasses.input,true)).attr({autocomplete:"off",spellcheck:false,role:"combobox","aria-autocomplete":options.datasets&&options.datasets[0]&&options.datasets[0].displayKey?"both":"list","aria-expanded":"false","aria-label":options.ariaLabel,"aria-owns":options.listboxId}).css(options.hint?options.css.input:options.css.inputWithNoHint);try{if(!$input.attr("dir")){$input.attr("dir","auto")}}catch(e){}$wrapper=options.appendTo?$wrapper.appendTo(DOM.element(options.appendTo).eq(0)).eq(0):$input.wrap($wrapper).parent();$wrapper.prepend(options.hint?$hint:null).append($dropdown);return{wrapper:$wrapper,input:$input,hint:$hint,menu:$dropdown}}function getBackgroundStyles($el){return{backgroundAttachment:$el.css("background-attachment"),backgroundClip:$el.css("background-clip"),backgroundColor:$el.css("background-color"),backgroundImage:$el.css("background-image"),backgroundOrigin:$el.css("background-origin"),backgroundPosition:$el.css("background-position"),backgroundRepeat:$el.css("background-repeat"),backgroundSize:$el.css("background-size")}}function destroyDomStructure($node,cssClasses){var $input=$node.find(_.className(cssClasses.prefix,cssClasses.input));_.each($input.data(attrsKey),function(val,key){if(val===undefined){$input.removeAttr(key)}else{$input.attr(key,val)}});$input.detach().removeClass(_.className(cssClasses.prefix,cssClasses.input,true)).insertAfter($node);if($input.removeData){$input.removeData(attrsKey)}$node.remove()}Typeahead.Dropdown=Dropdown;Typeahead.Input=Input;Typeahead.sources=__webpack_require__(61);module.exports=Typeahead},function(module,exports,__webpack_require__){"use strict";var specialKeyCodeMap;specialKeyCodeMap={9:"tab",27:"esc",37:"left",39:"right",13:"enter",38:"up",40:"down"};var _=__webpack_require__(0);var DOM=__webpack_require__(1);var EventEmitter=__webpack_require__(10);function Input(o){var that=this;var onBlur;var onFocus;var onKeydown;var onInput;o=o||{};if(!o.input){_.error("input is missing")}onBlur=_.bind(this._onBlur,this);onFocus=_.bind(this._onFocus,this);onKeydown=_.bind(this._onKeydown,this);onInput=_.bind(this._onInput,this);this.$hint=DOM.element(o.hint);this.$input=DOM.element(o.input).on("blur.aa",onBlur).on("focus.aa",onFocus).on("keydown.aa",onKeydown);if(this.$hint.length===0){this.setHint=this.getHint=this.clearHint=this.clearHintIfInvalid=_.noop}if(!_.isMsie()){this.$input.on("input.aa",onInput)}else{this.$input.on("keydown.aa keypress.aa cut.aa paste.aa",function($e){if(specialKeyCodeMap[$e.which||$e.keyCode]){return}_.defer(_.bind(that._onInput,that,$e))})}this.query=this.$input.val();this.$overflowHelper=buildOverflowHelper(this.$input)}Input.normalizeQuery=function(str){return(str||"").replace(/^\s*/g,"").replace(/\s{2,}/g," ")};_.mixin(Input.prototype,EventEmitter,{_onBlur:function onBlur(){this.resetInputValue();this.$input.removeAttr("aria-activedescendant");this.trigger("blurred")},_onFocus:function onFocus(){this.trigger("focused")},_onKeydown:function onKeydown($e){var keyName=specialKeyCodeMap[$e.which||$e.keyCode];this._managePreventDefault(keyName,$e);if(keyName&&this._shouldTrigger(keyName,$e)){this.trigger(keyName+"Keyed",$e)}},_onInput:function onInput(){this._checkInputValue()},_managePreventDefault:function managePreventDefault(keyName,$e){var preventDefault;var hintValue;var inputValue;switch(keyName){case"tab":hintValue=this.getHint();inputValue=this.getInputValue();preventDefault=hintValue&&hintValue!==inputValue&&!withModifier($e);break;case"up":case"down":preventDefault=!withModifier($e);break;default:preventDefault=false}if(preventDefault){$e.preventDefault()}},_shouldTrigger:function shouldTrigger(keyName,$e){var trigger;switch(keyName){case"tab":trigger=!withModifier($e);break;default:trigger=true}return trigger},_checkInputValue:function checkInputValue(){var inputValue;var areEquivalent;var hasDifferentWhitespace;inputValue=this.getInputValue();areEquivalent=areQueriesEquivalent(inputValue,this.query);hasDifferentWhitespace=areEquivalent&&this.query?this.query.length!==inputValue.length:false;this.query=inputValue;if(!areEquivalent){this.trigger("queryChanged",this.query)}else if(hasDifferentWhitespace){this.trigger("whitespaceChanged",this.query)}},focus:function focus(){this.$input.focus()},blur:function blur(){this.$input.blur()},getQuery:function getQuery(){return this.query},setQuery:function setQuery(query){this.query=query},getInputValue:function getInputValue(){return this.$input.val()},setInputValue:function setInputValue(value,silent){if(typeof value==="undefined"){value=this.query}this.$input.val(value);if(silent){this.clearHint()}else{this._checkInputValue()}},expand:function expand(){this.$input.attr("aria-expanded","true")},collapse:function collapse(){this.$input.attr("aria-expanded","false")},setActiveDescendant:function setActiveDescendant(activedescendantId){this.$input.attr("aria-activedescendant",activedescendantId)},removeActiveDescendant:function removeActiveDescendant(){this.$input.removeAttr("aria-activedescendant")},resetInputValue:function resetInputValue(){this.setInputValue(this.query,true)},getHint:function getHint(){return this.$hint.val()},setHint:function setHint(value){this.$hint.val(value)},clearHint:function clearHint(){this.setHint("")},clearHintIfInvalid:function clearHintIfInvalid(){var val;var hint;var valIsPrefixOfHint;var isValid;val=this.getInputValue();hint=this.getHint();valIsPrefixOfHint=val!==hint&&hint.indexOf(val)===0;isValid=val!==""&&valIsPrefixOfHint&&!this.hasOverflow();if(!isValid){this.clearHint()}},getLanguageDirection:function getLanguageDirection(){return(this.$input.css("direction")||"ltr").toLowerCase()},hasOverflow:function hasOverflow(){var constraint=this.$input.width()-2;this.$overflowHelper.text(this.getInputValue());return this.$overflowHelper.width()>=constraint},isCursorAtEnd:function(){var valueLength;var selectionStart;var range;valueLength=this.$input.val().length;selectionStart=this.$input[0].selectionStart;if(_.isNumber(selectionStart)){return selectionStart===valueLength}else if(document.selection){range=document.selection.createRange();range.moveStart("character",-valueLength);return valueLength===range.text.length}return true},destroy:function destroy(){this.$hint.off(".aa");this.$input.off(".aa");this.$hint=this.$input=this.$overflowHelper=null}});function buildOverflowHelper($input){return DOM.element('<pre aria-hidden="true"></pre>').css({position:"absolute",visibility:"hidden",whiteSpace:"pre",fontFamily:$input.css("font-family"),fontSize:$input.css("font-size"),fontStyle:$input.css("font-style"),fontVariant:$input.css("font-variant"),fontWeight:$input.css("font-weight"),wordSpacing:$input.css("word-spacing"),letterSpacing:$input.css("letter-spacing"),textIndent:$input.css("text-indent"),textRendering:$input.css("text-rendering"),textTransform:$input.css("text-transform")}).insertAfter($input)}function areQueriesEquivalent(a,b){return Input.normalizeQuery(a)===Input.normalizeQuery(b)}function withModifier($e){return $e.altKey||$e.ctrlKey||$e.metaKey||$e.shiftKey}module.exports=Input},function(module,exports,__webpack_require__){"use strict";var types=[__webpack_require__(54),__webpack_require__(55),__webpack_require__(56),__webpack_require__(57),__webpack_require__(58)];var draining;var currentQueue;var queueIndex=-1;var queue=[];var scheduled=false;function cleanUpNextTick(){if(!draining||!currentQueue){return}draining=false;if(currentQueue.length){queue=currentQueue.concat(queue)}else{queueIndex=-1}if(queue.length){nextTick()}}function nextTick(){if(draining){return}scheduled=false;draining=true;var len=queue.length;var timeout=setTimeout(cleanUpNextTick);while(len){currentQueue=queue;queue=[];while(currentQueue&&++queueIndex<len){currentQueue[queueIndex].run()}queueIndex=-1;len=queue.length}currentQueue=null;queueIndex=-1;draining=false;clearTimeout(timeout)}var scheduleDrain;var i=-1;var len=types.length;while(++i<len){if(types[i]&&types[i].test&&types[i].test()){scheduleDrain=types[i].install(nextTick);break}}function Item(fun,array){this.fun=fun;this.array=array}Item.prototype.run=function(){var fun=this.fun;var array=this.array;switch(array.length){case 0:return fun();case 1:return fun(array[0]);case 2:return fun(array[0],array[1]);case 3:return fun(array[0],array[1],array[2]);default:return fun.apply(null,array)}};module.exports=immediate;function immediate(task){var args=new Array(arguments.length-1);if(arguments.length>1){for(var i=1;i<arguments.length;i++){args[i-1]=arguments[i]}}queue.push(new Item(task,args));if(!scheduled&&!draining){scheduled=true;scheduleDrain()}}},function(module,exports,__webpack_require__){"use strict";(function(process){exports.test=function(){return typeof process!=="undefined"&&!process.browser};exports.install=function(func){return function(){process.nextTick(func)}}}).call(exports,__webpack_require__(9))},function(module,exports,__webpack_require__){"use strict";(function(global){var Mutation=global.MutationObserver||global.WebKitMutationObserver;exports.test=function(){return Mutation};exports.install=function(handle){var called=0;var observer=new Mutation(handle);var element=global.document.createTextNode("");observer.observe(element,{characterData:true});return function(){element.data=called=++called%2}}}).call(exports,__webpack_require__(4))},function(module,exports,__webpack_require__){"use strict";(function(global){exports.test=function(){if(global.setImmediate){return false}return typeof global.MessageChannel!=="undefined"};exports.install=function(func){var channel=new global.MessageChannel;channel.port1.onmessage=func;return function(){channel.port2.postMessage(0)}}}).call(exports,__webpack_require__(4))},function(module,exports,__webpack_require__){"use strict";(function(global){exports.test=function(){return"document"in global&&"onreadystatechange"in global.document.createElement("script")};exports.install=function(handle){return function(){var scriptEl=global.document.createElement("script");scriptEl.onreadystatechange=function(){handle();scriptEl.onreadystatechange=null;scriptEl.parentNode.removeChild(scriptEl);scriptEl=null};global.document.documentElement.appendChild(scriptEl);return handle}}}).call(exports,__webpack_require__(4))},function(module,exports,__webpack_require__){"use strict";exports.test=function(){return true};exports.install=function(t){return function(){setTimeout(t,0)}}},function(module,exports,__webpack_require__){"use strict";var _=__webpack_require__(0);var DOM=__webpack_require__(1);var EventEmitter=__webpack_require__(10);var Dataset=__webpack_require__(60);var css=__webpack_require__(11);function Dropdown(o){var that=this;var onSuggestionClick;var onSuggestionMouseEnter;var onSuggestionMouseLeave;o=o||{};if(!o.menu){_.error("menu is required")}if(!_.isArray(o.datasets)&&!_.isObject(o.datasets)){_.error("1 or more datasets required")}if(!o.datasets){_.error("datasets is required")}this.isOpen=false;this.isEmpty=true;this.minLength=o.minLength||0;this.templates={};this.appendTo=o.appendTo||false;this.css=_.mixin({},css,o.appendTo?css.appendTo:{});this.cssClasses=o.cssClasses=_.mixin({},css.defaultClasses,o.cssClasses||{});this.cssClasses.prefix=o.cssClasses.formattedPrefix||_.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);onSuggestionClick=_.bind(this._onSuggestionClick,this);onSuggestionMouseEnter=_.bind(this._onSuggestionMouseEnter,this);onSuggestionMouseLeave=_.bind(this._onSuggestionMouseLeave,this);var cssClass=_.className(this.cssClasses.prefix,this.cssClasses.suggestion);this.$menu=DOM.element(o.menu).on("mouseenter.aa",cssClass,onSuggestionMouseEnter).on("mouseleave.aa",cssClass,onSuggestionMouseLeave).on("click.aa",cssClass,onSuggestionClick);this.$container=o.appendTo?o.wrapper:this.$menu;if(o.templates&&o.templates.header){this.templates.header=_.templatify(o.templates.header);this.$menu.prepend(this.templates.header())}if(o.templates&&o.templates.empty){this.templates.empty=_.templatify(o.templates.empty);this.$empty=DOM.element('<div class="'+_.className(this.cssClasses.prefix,this.cssClasses.empty,true)+'">'+"</div>");this.$menu.append(this.$empty);this.$empty.hide()}this.datasets=_.map(o.datasets,function(oDataset){return initializeDataset(that.$menu,oDataset,o.cssClasses)});_.each(this.datasets,function(dataset){var root=dataset.getRoot();if(root&&root.parent().length===0){that.$menu.append(root)}dataset.onSync("rendered",that._onRendered,that)});if(o.templates&&o.templates.footer){this.templates.footer=_.templatify(o.templates.footer);this.$menu.append(this.templates.footer())}var self=this;DOM.element(window).resize(function(){self._redraw()})}_.mixin(Dropdown.prototype,EventEmitter,{_onSuggestionClick:function onSuggestionClick($e){this.trigger("suggestionClicked",DOM.element($e.currentTarget))},_onSuggestionMouseEnter:function onSuggestionMouseEnter($e){var elt=DOM.element($e.currentTarget);if(elt.hasClass(_.className(this.cssClasses.prefix,this.cssClasses.cursor,true))){return}this._removeCursor();var suggestion=this;setTimeout(function(){suggestion._setCursor(elt,false)},0)},_onSuggestionMouseLeave:function onSuggestionMouseLeave($e){if($e.relatedTarget){var elt=DOM.element($e.relatedTarget);if(elt.closest("."+_.className(this.cssClasses.prefix,this.cssClasses.cursor,true)).length>0){return}}this._removeCursor();this.trigger("cursorRemoved")},_onRendered:function onRendered(e,query){this.isEmpty=_.every(this.datasets,isDatasetEmpty);if(this.isEmpty){if(query.length>=this.minLength){this.trigger("empty")}if(this.$empty){if(query.length<this.minLength){this._hide()}else{var html=this.templates.empty({query:this.datasets[0]&&this.datasets[0].query});this.$empty.html(html);this.$empty.show();this._show()}}else if(_.any(this.datasets,hasEmptyTemplate)){if(query.length<this.minLength){this._hide()}else{this._show()}}else{this._hide()}}else if(this.isOpen){if(this.$empty){this.$empty.empty();this.$empty.hide()}if(query.length>=this.minLength){this._show()}else{this._hide()}}this.trigger("datasetRendered");function isDatasetEmpty(dataset){return dataset.isEmpty()}function hasEmptyTemplate(dataset){return dataset.templates&&dataset.templates.empty}},_hide:function(){this.$container.hide()},_show:function(){this.$container.css("display","block");this._redraw();this.trigger("shown")},_redraw:function redraw(){if(!this.isOpen||!this.appendTo)return;this.trigger("redrawn")},_getSuggestions:function getSuggestions(){return this.$menu.find(_.className(this.cssClasses.prefix,this.cssClasses.suggestion))},_getCursor:function getCursor(){return this.$menu.find(_.className(this.cssClasses.prefix,this.cssClasses.cursor)).first()},_setCursor:function setCursor($el,updateInput){$el.first().addClass(_.className(this.cssClasses.prefix,this.cssClasses.cursor,true)).attr("aria-selected","true");this.trigger("cursorMoved",updateInput)},_removeCursor:function removeCursor(){this._getCursor().removeClass(_.className(this.cssClasses.prefix,this.cssClasses.cursor,true)).removeAttr("aria-selected")},_moveCursor:function moveCursor(increment){var $suggestions;var $oldCursor;var newCursorIndex;var $newCursor;if(!this.isOpen){return}$oldCursor=this._getCursor();$suggestions=this._getSuggestions();this._removeCursor();newCursorIndex=$suggestions.index($oldCursor)+increment;newCursorIndex=(newCursorIndex+1)%($suggestions.length+1)-1;if(newCursorIndex===-1){this.trigger("cursorRemoved");return}else if(newCursorIndex<-1){newCursorIndex=$suggestions.length-1}this._setCursor($newCursor=$suggestions.eq(newCursorIndex),true);this._ensureVisible($newCursor)},_ensureVisible:function ensureVisible($el){var elTop;var elBottom;var menuScrollTop;var menuHeight;elTop=$el.position().top;elBottom=elTop+$el.height()+parseInt($el.css("margin-top"),10)+parseInt($el.css("margin-bottom"),10);menuScrollTop=this.$menu.scrollTop();menuHeight=this.$menu.height()+parseInt(this.$menu.css("padding-top"),10)+parseInt(this.$menu.css("padding-bottom"),10);if(elTop<0){this.$menu.scrollTop(menuScrollTop+elTop)}else if(menuHeight<elBottom){this.$menu.scrollTop(menuScrollTop+(elBottom-menuHeight))}},close:function close(){if(this.isOpen){this.isOpen=false;this._removeCursor();this._hide();this.trigger("closed")}},open:function open(){if(!this.isOpen){this.isOpen=true;if(!this.isEmpty){this._show()}this.trigger("opened")}},setLanguageDirection:function setLanguageDirection(dir){this.$menu.css(dir==="ltr"?this.css.ltr:this.css.rtl)},moveCursorUp:function moveCursorUp(){this._moveCursor(-1)},moveCursorDown:function moveCursorDown(){this._moveCursor(+1)},getDatumForSuggestion:function getDatumForSuggestion($el){var datum=null;if($el.length){datum={raw:Dataset.extractDatum($el),value:Dataset.extractValue($el),datasetName:Dataset.extractDatasetName($el)}}return datum},getCurrentCursor:function getCurrentCursor(){return this._getCursor().first()},getDatumForCursor:function getDatumForCursor(){return this.getDatumForSuggestion(this._getCursor().first())},getDatumForTopSuggestion:function getDatumForTopSuggestion(){return this.getDatumForSuggestion(this._getSuggestions().first())},cursorTopSuggestion:function cursorTopSuggestion(){this._setCursor(this._getSuggestions().first(),false)},update:function update(query){_.each(this.datasets,updateDataset);function updateDataset(dataset){dataset.update(query)}},empty:function empty(){_.each(this.datasets,clearDataset);this.isEmpty=true;function clearDataset(dataset){dataset.clear()}},isVisible:function isVisible(){return this.isOpen&&!this.isEmpty},destroy:function destroy(){this.$menu.off(".aa");this.$menu=null;_.each(this.datasets,destroyDataset);function destroyDataset(dataset){dataset.destroy()}}});Dropdown.Dataset=Dataset;function initializeDataset($menu,oDataset,cssClasses){return new Dropdown.Dataset(_.mixin({$menu:$menu,cssClasses:cssClasses},oDataset))}module.exports=Dropdown},function(module,exports,__webpack_require__){"use strict";var datasetKey="aaDataset";var valueKey="aaValue";var datumKey="aaDatum";var _=__webpack_require__(0);var DOM=__webpack_require__(1);var html=__webpack_require__(17);var css=__webpack_require__(11);var EventEmitter=__webpack_require__(10);function Dataset(o){o=o||{};o.templates=o.templates||{};if(!o.source){_.error("missing source")}if(o.name&&!isValidName(o.name)){_.error("invalid dataset name: "+o.name)}this.query=null;this._isEmpty=true;this.highlight=!!o.highlight;this.name=typeof o.name==="undefined"||o.name===null?_.getUniqueId():o.name;this.source=o.source;this.displayFn=getDisplayFn(o.display||o.displayKey);this.debounce=o.debounce;this.cache=o.cache!==false;this.templates=getTemplates(o.templates,this.displayFn);this.css=_.mixin({},css,o.appendTo?css.appendTo:{});this.cssClasses=o.cssClasses=_.mixin({},css.defaultClasses,o.cssClasses||{});this.cssClasses.prefix=o.cssClasses.formattedPrefix||_.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);var clazz=_.className(this.cssClasses.prefix,this.cssClasses.dataset);this.$el=o.$menu&&o.$menu.find(clazz+"-"+this.name).length>0?DOM.element(o.$menu.find(clazz+"-"+this.name)[0]):DOM.element(html.dataset.replace("%CLASS%",this.name).replace("%PREFIX%",this.cssClasses.prefix).replace("%DATASET%",this.cssClasses.dataset));this.$menu=o.$menu;this.clearCachedSuggestions()}Dataset.extractDatasetName=function extractDatasetName(el){return DOM.element(el).data(datasetKey)};Dataset.extractValue=function extractValue(el){return DOM.element(el).data(valueKey)};Dataset.extractDatum=function extractDatum(el){var datum=DOM.element(el).data(datumKey);if(typeof datum==="string"){datum=JSON.parse(datum)}return datum};_.mixin(Dataset.prototype,EventEmitter,{_render:function render(query,suggestions){if(!this.$el){return}var that=this;var hasSuggestions;var renderArgs=[].slice.call(arguments,2);this.$el.empty();hasSuggestions=suggestions&&suggestions.length;this._isEmpty=!hasSuggestions;if(!hasSuggestions&&this.templates.empty){this.$el.html(getEmptyHtml.apply(this,renderArgs)).prepend(that.templates.header?getHeaderHtml.apply(this,renderArgs):null).append(that.templates.footer?getFooterHtml.apply(this,renderArgs):null)}else if(hasSuggestions){this.$el.html(getSuggestionsHtml.apply(this,renderArgs)).prepend(that.templates.header?getHeaderHtml.apply(this,renderArgs):null).append(that.templates.footer?getFooterHtml.apply(this,renderArgs):null)}else if(suggestions&&!Array.isArray(suggestions)){throw new TypeError("suggestions must be an array")}if(this.$menu){this.$menu.addClass(this.cssClasses.prefix+(hasSuggestions?"with":"without")+"-"+this.name).removeClass(this.cssClasses.prefix+(hasSuggestions?"without":"with")+"-"+this.name)}this.trigger("rendered",query);function getEmptyHtml(){var args=[].slice.call(arguments,0);args=[{query:query,isEmpty:true}].concat(args);return that.templates.empty.apply(this,args)}function getSuggestionsHtml(){var args=[].slice.call(arguments,0);var $suggestions;var nodes;var self=this;var suggestionsHtml=html.suggestions.replace("%PREFIX%",this.cssClasses.prefix).replace("%SUGGESTIONS%",this.cssClasses.suggestions);$suggestions=DOM.element(suggestionsHtml).css(this.css.suggestions);nodes=_.map(suggestions,getSuggestionNode);$suggestions.append.apply($suggestions,nodes);return $suggestions;function getSuggestionNode(suggestion){var $el;var suggestionHtml=html.suggestion.replace("%PREFIX%",self.cssClasses.prefix).replace("%SUGGESTION%",self.cssClasses.suggestion);$el=DOM.element(suggestionHtml).attr({role:"option",id:["option",Math.floor(Math.random()*1e8)].join("-")}).append(that.templates.suggestion.apply(this,[suggestion].concat(args)));$el.data(datasetKey,that.name);$el.data(valueKey,that.displayFn(suggestion)||undefined);$el.data(datumKey,JSON.stringify(suggestion));$el.children().each(function(){DOM.element(this).css(self.css.suggestionChild)});return $el}}function getHeaderHtml(){var args=[].slice.call(arguments,0);args=[{query:query,isEmpty:!hasSuggestions}].concat(args);return that.templates.header.apply(this,args)}function getFooterHtml(){var args=[].slice.call(arguments,0);args=[{query:query,isEmpty:!hasSuggestions}].concat(args);return that.templates.footer.apply(this,args)}},getRoot:function getRoot(){return this.$el},update:function update(query){function handleSuggestions(suggestions){if(!this.canceled&&query===this.query){var extraArgs=[].slice.call(arguments,1);this.cacheSuggestions(query,suggestions,extraArgs);this._render.apply(this,[query,suggestions].concat(extraArgs))}}this.query=query;this.canceled=false;if(this.shouldFetchFromCache(query)){handleSuggestions.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs))}else{var that=this;var execSource=function(){if(!that.canceled){that.source(query,handleSuggestions.bind(that))}};if(this.debounce){var later=function(){that.debounceTimeout=null;execSource()};clearTimeout(this.debounceTimeout);this.debounceTimeout=setTimeout(later,this.debounce)}else{execSource()}}},cacheSuggestions:function cacheSuggestions(query,suggestions,extraArgs){this.cachedQuery=query;this.cachedSuggestions=suggestions;this.cachedRenderExtraArgs=extraArgs},shouldFetchFromCache:function shouldFetchFromCache(query){return this.cache&&this.cachedQuery===query&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function clearCachedSuggestions(){delete this.cachedQuery;delete this.cachedSuggestions;delete this.cachedRenderExtraArgs},cancel:function cancel(){this.canceled=true},clear:function clear(){this.cancel();this.$el.empty();this.trigger("rendered","")},isEmpty:function isEmpty(){return this._isEmpty},destroy:function destroy(){this.clearCachedSuggestions();this.$el=null}});function getDisplayFn(display){display=display||"value";return _.isFunction(display)?display:displayFn;function displayFn(obj){return obj[display]}}function getTemplates(templates,displayFn){return{empty:templates.empty&&_.templatify(templates.empty),header:templates.header&&_.templatify(templates.header),footer:templates.footer&&_.templatify(templates.footer),suggestion:templates.suggestion||suggestionTemplate};function suggestionTemplate(context){return"<p>"+displayFn(context)+"</p>"}}function isValidName(str){return/^[_a-zA-Z0-9-]+$/.test(str)}module.exports=Dataset},function(module,exports,__webpack_require__){"use strict";module.exports={hits:__webpack_require__(62),popularIn:__webpack_require__(63)}},function(module,exports,__webpack_require__){"use strict";var _=__webpack_require__(0);var version=__webpack_require__(18);var parseAlgoliaClientVersion=__webpack_require__(19);module.exports=function search(index,params){var algoliaVersion=parseAlgoliaClientVersion(index.as._ua);if(algoliaVersion&&algoliaVersion[0]>=3&&algoliaVersion[1]>20){params=params||{};params.additionalUA="autocomplete.js "+version}return sourceFn;function sourceFn(query,cb){index.search(query,params,function(error,content){if(error){_.error(error.message);return}cb(content.hits,content)})}}},function(module,exports,__webpack_require__){"use strict";var _=__webpack_require__(0);var version=__webpack_require__(18);var parseAlgoliaClientVersion=__webpack_require__(19);module.exports=function popularIn(index,params,details,options){var algoliaVersion=parseAlgoliaClientVersion(index.as._ua);if(algoliaVersion&&algoliaVersion[0]>=3&&algoliaVersion[1]>20){params=params||{};params.additionalUA="autocomplete.js "+version}if(!details.source){return _.error("Missing 'source' key")}var source=_.isFunction(details.source)?details.source:function(hit){return hit[details.source]};if(!details.index){return _.error("Missing 'index' key")}var detailsIndex=details.index;options=options||{};return sourceFn;function sourceFn(query,cb){index.search(query,params,function(error,content){if(error){_.error(error.message);return}if(content.hits.length>0){var first=content.hits[0];var detailsParams=_.mixin({hitsPerPage:0},details);delete detailsParams.source;delete detailsParams.index;var detailsAlgoliaVersion=parseAlgoliaClientVersion(detailsIndex.as._ua);if(detailsAlgoliaVersion&&detailsAlgoliaVersion[0]>=3&&detailsAlgoliaVersion[1]>20){params.additionalUA="autocomplete.js "+version}detailsIndex.search(source(first),detailsParams,function(error2,content2){if(error2){_.error(error2.message);return}var suggestions=[];if(options.includeAll){var label=options.allTitle||"All departments";suggestions.push(_.mixin({facet:{value:label,count:content2.nbHits}},_.cloneDeep(first)))}_.each(content2.facets,function(values,facet){_.each(values,function(count,value){suggestions.push(_.mixin({facet:{facet:facet,value:value,count:count}},_.cloneDeep(first)))})});for(var i=1;i<content.hits.length;++i){suggestions.push(content.hits[i])}cb(suggestions,content)});return}cb([])})}}},function(module,exports,__webpack_require__){"use strict";Object.defineProperty(exports,"__esModule",{value:true});var prefix="algolia-docsearch";var suggestionPrefix=prefix+"-suggestion";var footerPrefix=prefix+"-footer";var templates={suggestion:'\n  <a class="'+suggestionPrefix+"\n    {{#isCategoryHeader}}"+suggestionPrefix+"__main{{/isCategoryHeader}}\n    {{#isSubCategoryHeader}}"+suggestionPrefix+'__secondary{{/isSubCategoryHeader}}\n    "\n    aria-label="Link to the result"\n    href="{{{url}}}"\n    >\n    <div class="'+suggestionPrefix+'--category-header">\n        <span class="'+suggestionPrefix+'--category-header-lvl0">{{{category}}}</span>\n    </div>\n    <div class="'+suggestionPrefix+'--wrapper">\n      <div class="'+suggestionPrefix+'--subcategory-column">\n        <span class="'+suggestionPrefix+'--subcategory-column-text">{{{subcategory}}}</span>\n      </div>\n      {{#isTextOrSubcategoryNonEmpty}}\n      <div class="'+suggestionPrefix+'--content">\n        <div class="'+suggestionPrefix+'--subcategory-inline">{{{subcategory}}}</div>\n        <div class="'+suggestionPrefix+'--title">{{{title}}}</div>\n        {{#text}}<div class="'+suggestionPrefix+'--text">{{{text}}}</div>{{/text}}\n      </div>\n      {{/isTextOrSubcategoryNonEmpty}}\n    </div>\n  </a>\n  ',suggestionSimple:'\n  <div class="'+suggestionPrefix+"\n    {{#isCategoryHeader}}"+suggestionPrefix+"__main{{/isCategoryHeader}}\n    {{#isSubCategoryHeader}}"+suggestionPrefix+'__secondary{{/isSubCategoryHeader}}\n    suggestion-layout-simple\n  ">\n    <div class="'+suggestionPrefix+'--category-header">\n        {{^isLvl0}}\n        <span class="'+suggestionPrefix+"--category-header-lvl0 "+suggestionPrefix+'--category-header-item">{{{category}}}</span>\n          {{^isLvl1}}\n          {{^isLvl1EmptyOrDuplicate}}\n          <span class="'+suggestionPrefix+"--category-header-lvl1 "+suggestionPrefix+'--category-header-item">\n              {{{subcategory}}}\n          </span>\n          {{/isLvl1EmptyOrDuplicate}}\n          {{/isLvl1}}\n        {{/isLvl0}}\n        <div class="'+suggestionPrefix+"--title "+suggestionPrefix+'--category-header-item">\n            {{#isLvl2}}\n                {{{title}}}\n            {{/isLvl2}}\n            {{#isLvl1}}\n                {{{subcategory}}}\n            {{/isLvl1}}\n            {{#isLvl0}}\n                {{{category}}}\n            {{/isLvl0}}\n        </div>\n    </div>\n    <div class="'+suggestionPrefix+'--wrapper">\n      {{#text}}\n      <div class="'+suggestionPrefix+'--content">\n        <div class="'+suggestionPrefix+'--text">{{{text}}}</div>\n      </div>\n      {{/text}}\n    </div>\n  </div>\n  ',footer:'\n    <div class="'+footerPrefix+'">\n      Search by <a class="'+footerPrefix+'--logo" href="https://www.algolia.com/docsearch">Algolia</a>\n    </div>\n  ',empty:'\n  <div class="'+suggestionPrefix+'">\n    <div class="'+suggestionPrefix+'--wrapper">\n        <div class="'+suggestionPrefix+"--content "+suggestionPrefix+'--no-results">\n            <div class="'+suggestionPrefix+'--title">\n                <div class="'+suggestionPrefix+'--text">\n                    No results found for query <b>"{{query}}"</b>\n                </div>\n            </div>\n        </div>\n    </div>\n  </div>\n  ',searchBox:'\n  <form novalidate="novalidate" onsubmit="return false;" class="searchbox">\n    <div role="search" class="searchbox__wrapper">\n      <input id="docsearch" type="search" name="search" placeholder="Search the docs" autocomplete="off" required="required" class="searchbox__input"/>\n      <button type="submit" title="Submit your search query." class="searchbox__submit" >\n        <svg width=12 height=12 role="img" aria-label="Search">\n          <use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#sbx-icon-search-13"></use>\n        </svg>\n      </button>\n      <button type="reset" title="Clear the search query." class="searchbox__reset hide">\n        <svg width=12 height=12 role="img" aria-label="Reset">\n          <use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#sbx-icon-clear-3"></use>\n        </svg>\n      </button>\n    </div>\n</form>\n\n<div class="svg-icons" style="height: 0; width: 0; position: absolute; visibility: hidden">\n  <svg xmlns="http://www.w3.org/2000/svg">\n    <symbol id="sbx-icon-clear-3" viewBox="0 0 40 40"><path d="M16.228 20L1.886 5.657 0 3.772 3.772 0l1.885 1.886L20 16.228 34.343 1.886 36.228 0 40 3.772l-1.886 1.885L23.772 20l14.342 14.343L40 36.228 36.228 40l-1.885-1.886L20 23.772 5.657 38.114 3.772 40 0 36.228l1.886-1.885L16.228 20z" fill-rule="evenodd"></symbol>\n    <symbol id="sbx-icon-search-13" viewBox="0 0 40 40"><path d="M26.806 29.012a16.312 16.312 0 0 1-10.427 3.746C7.332 32.758 0 25.425 0 16.378 0 7.334 7.333 0 16.38 0c9.045 0 16.378 7.333 16.378 16.38 0 3.96-1.406 7.593-3.746 10.426L39.547 37.34c.607.608.61 1.59-.004 2.203a1.56 1.56 0 0 1-2.202.004L26.807 29.012zm-10.427.627c7.322 0 13.26-5.938 13.26-13.26 0-7.324-5.938-13.26-13.26-13.26-7.324 0-13.26 5.936-13.26 13.26 0 7.322 5.936 13.26 13.26 13.26z" fill-rule="evenodd"></symbol>\n  </svg>\n</div>\n  '};exports.default=templates},function(module,exports,__webpack_require__){"use strict";Object.defineProperty(exports,"__esModule",{value:true});var _typeof=typeof Symbol==="function"&&typeof Symbol.iterator==="symbol"?function(obj){return typeof obj}:function(obj){return obj&&typeof Symbol==="function"&&obj.constructor===Symbol&&obj!==Symbol.prototype?"symbol":typeof obj};var _zepto=__webpack_require__(20);var _zepto2=_interopRequireDefault(_zepto);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var utils={mergeKeyWithParent:function mergeKeyWithParent(object,property){if(object[property]===undefined){return object}if(_typeof(object[property])!=="object"){return object}var newObject=_zepto2.default.extend({},object,object[property]);delete newObject[property];return newObject},groupBy:function groupBy(collection,property){var newCollection={};_zepto2.default.each(collection,function(index,item){if(item[property]===undefined){throw new Error("[groupBy]: Object has no key "+property)}var key=item[property];if(typeof key==="string"){key=key.toLowerCase()}if(!Object.prototype.hasOwnProperty.call(newCollection,key)){newCollection[key]=[]}newCollection[key].push(item)});return newCollection},values:function values(object){return Object.keys(object).map(function(key){return object[key]})},flatten:function flatten(array){var results=[];array.forEach(function(value){if(!Array.isArray(value)){results.push(value);return}value.forEach(function(subvalue){results.push(subvalue)})});return results},flattenAndFlagFirst:function flattenAndFlagFirst(object,flag){var values=this.values(object).map(function(collection){return collection.map(function(item,index){item[flag]=index===0;return item})});return this.flatten(values)},compact:function compact(array){var results=[];array.forEach(function(value){if(!value){return}results.push(value)});return results},getHighlightedValue:function getHighlightedValue(object,property){if(object._highlightResult&&object._highlightResult.hierarchy_camel&&object._highlightResult.hierarchy_camel[property]&&object._highlightResult.hierarchy_camel[property].matchLevel&&object._highlightResult.hierarchy_camel[property].matchLevel!=="none"&&object._highlightResult.hierarchy_camel[property].value){return object._highlightResult.hierarchy_camel[property].value}if(object._highlightResult&&object._highlightResult&&object._highlightResult[property]&&object._highlightResult[property].value){return object._highlightResult[property].value}return object[property]},getSnippetedValue:function getSnippetedValue(object,property){if(!object._snippetResult||!object._snippetResult[property]||!object._snippetResult[property].value){return object[property]}var snippet=object._snippetResult[property].value;if(snippet[0]!==snippet[0].toUpperCase()){snippet="…"+snippet}if([".","!","?"].indexOf(snippet[snippet.length-1])===-1){snippet=snippet+"…"}return snippet},deepClone:function deepClone(object){return JSON.parse(JSON.stringify(object))}};exports.default=utils}])});
\ No newline at end of file

From 3b892bd632502c56c1f76f858a4531f76118024b Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 6 Feb 2025 13:54:21 -0800
Subject: [PATCH 966/986] [SPARK-51104][DOC][FOLLOWUP] Self-host
 docsearch.min.css in Spark website

Follow-up of https://github.com/apache/spark/pull/49823, we need to self-host docsearch.min.css in Spark website as well

Fix the broken styling on the Spark website.

No

Local build and preview

No

Closes #49838 from gengliangwang/fixWebsiteFollowup.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 5a925c6f1d1b75ee01a80406b8f6693d982e3925)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/_layouts/global.html  | 6 +++---
 docs/css/docsearch.min.css | 2 ++
 2 files changed, 5 insertions(+), 3 deletions(-)
 create mode 100644 docs/css/docsearch.min.css

diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index 33d24e0c92f78..e6129f8a4d4a5 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -27,9 +27,9 @@
         <link href="css/custom.css" rel="stylesheet">
         <script src="js/vendor/modernizr-2.6.1-respond-1.1.0.min.js"></script>
 
-        <link rel="stylesheet" href="css/pygments-default.css">
-        <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.css" />
-        <link rel="stylesheet" href="css/docsearch.css">
+        <link rel="stylesheet" href="{{ rel_path_to_root }}css/pygments-default.css">
+        <link rel="stylesheet" href="{{ rel_path_to_root }}css/docsearch.min.css" />
+        <link rel="stylesheet" href="{{ rel_path_to_root }}css/docsearch.css">
 
         {% production %}
         <!-- Matomo -->
diff --git a/docs/css/docsearch.min.css b/docs/css/docsearch.min.css
new file mode 100644
index 0000000000000..9051e8de11f78
--- /dev/null
+++ b/docs/css/docsearch.min.css
@@ -0,0 +1,2 @@
+.searchbox{display:inline-block;position:relative;width:200px;height:32px!important;white-space:nowrap;box-sizing:border-box;visibility:visible!important}.searchbox .algolia-autocomplete{display:block;width:100%;height:100%}.searchbox__wrapper{width:100%;height:100%;z-index:999;position:relative}.searchbox__input{display:inline-block;box-sizing:border-box;transition:box-shadow .4s ease,background .4s ease;border:0;border-radius:16px;box-shadow:inset 0 0 0 1px #ccc;background:#fff!important;padding:0 26px 0 32px;width:100%;height:100%;vertical-align:middle;white-space:normal;font-size:12px;-webkit-appearance:none;-moz-appearance:none;appearance:none}.searchbox__input::-webkit-search-cancel-button,.searchbox__input::-webkit-search-decoration,.searchbox__input::-webkit-search-results-button,.searchbox__input::-webkit-search-results-decoration{display:none}.searchbox__input:hover{box-shadow:inset 0 0 0 1px #b3b3b3}.searchbox__input:active,.searchbox__input:focus{outline:0;box-shadow:inset 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+/*# sourceMappingURL=docsearch.min.css.map */
\ No newline at end of file

From e395f33dd37f212b6e95b08467e95b58acd73d73 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Thu, 6 Feb 2025 20:13:34 -0800
Subject: [PATCH 967/986] [SPARK-51128][DOC] Self host docsearch.min.css.map in
 Spark website

### What changes were proposed in this pull request?

Self host docsearch.min.css.map in Spark website

### Why are the changes needed?

In the console of Spark website, I saw error messages after using the search box:

```

ERROR /docs/latest/css/docsearch.min.css.map' not found

```

Although the website is still functioning, it's nice to self-host the `.map` file as well. It can help debugging and reduce error logs.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Local build and preview

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49844 from gengliangwang/includeMap.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 20bd4aae6e8b405baa6be309cc0a87c3387a0e72)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 docs/css/docsearch.min.css.map | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 docs/css/docsearch.min.css.map

diff --git a/docs/css/docsearch.min.css.map b/docs/css/docsearch.min.css.map
new file mode 100644
index 0000000000000..3314ce49a6e22
--- /dev/null
+++ b/docs/css/docsearch.min.css.map
@@ -0,0 +1 @@
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From 03f7200d5b6c63a732162b4762f72ac94a64a3f8 Mon Sep 17 00:00:00 2001
From: Gengliang Wang <gengliang@apache.org>
Date: Fri, 7 Feb 2025 14:51:50 -0800
Subject: [PATCH 968/986] [SPARK-51129][DOC] Fix code tab switching in Spark
 Website

### What changes were proposed in this pull request?

Fix code tab switching on the Spark website. The issue occurs because the self-hosted bootstrap.bundle.min.js from [PR #49823](https://github.com/apache/spark/pull/49823) is version 4.4.1, while the CDN version is 5.0.2. Upgrading bootstrap.bundle.min.js resolves the problem.

### Why are the changes needed?

Fix Spark website code tab switching

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Local built website and verified.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49853 from gengliangwang/codeTab.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
(cherry picked from commit 717027d86b30032fd9edf338877e9ab966f58874)
Signed-off-by: Gengliang Wang <gengliang@apache.org>
---
 LICENSE                                    | 2 +-
 docs/js/vendor/bootstrap.bundle.min.js     | 8 ++++----
 docs/js/vendor/bootstrap.bundle.min.js.map | 2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/LICENSE b/LICENSE
index 0e3d302b99a8b..2eda694eaae9f 100644
--- a/LICENSE
+++ b/LICENSE
@@ -214,7 +214,6 @@ common/network-common/src/main/java/org/apache/spark/network/util/LimitedInputSt
 core/src/main/java/org/apache/spark/util/collection/TimSort.java
 core/src/main/resources/org/apache/spark/ui/static/bootstrap*
 core/src/main/resources/org/apache/spark/ui/static/vis*
-docs/js/vendor/bootstrap.js
 connector/spark-ganglia-lgpl/src/main/java/com/codahale/metrics/ganglia/GangliaReporter.java
 
 
@@ -239,6 +238,7 @@ core/src/main/resources/org/apache/spark/ui/static/*dataTables*
 core/src/main/resources/org/apache/spark/ui/static/graphlib-dot.min.js
 core/src/main/resources/org/apache/spark/ui/static/jquery*
 core/src/main/resources/org/apache/spark/ui/static/sorttable.js
+docs/js/vendor/bootstrap*
 docs/js/vendor/anchor.min.js
 docs/js/vendor/jquery*
 docs/js/vendor/modernizer*
diff --git a/docs/js/vendor/bootstrap.bundle.min.js b/docs/js/vendor/bootstrap.bundle.min.js
index 78c533b4e7ecb..68acb7a315ec9 100644
--- a/docs/js/vendor/bootstrap.bundle.min.js
+++ b/docs/js/vendor/bootstrap.bundle.min.js
@@ -1,7 +1,7 @@
 /*!
-  * Bootstrap v4.4.1 (https://getbootstrap.com/)
-  * Copyright 2011-2019 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
-  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+  * Bootstrap v5.0.2 (https://getbootstrap.com/)
+  * Copyright 2011-2021 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
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dt(e.instance.popper,e.styles),function(t,n){Object.keys(n).forEach(function(e){!1!==n[e]?t.setAttribute(e,n[e]):t.removeAttribute(e)})}(e.instance.popper,e.attributes),e.arrowElement&&Object.keys(e.arrowStyles).length&&dt(e.arrowElement,e.arrowStyles),e},onLoad:function(e,t,n,i,o){var r=tt(o,t,e,n.positionFixed),s=et(n.placement,r,t,e,n.modifiers.flip.boundariesElement,n.modifiers.flip.padding);return t.setAttribute("x-placement",s),dt(t,{position:n.positionFixed?"fixed":"absolute"}),n},gpuAcceleration:void 0}}},St=(Qe(Dt,[{key:"update",value:function(){return function(){if(!this.state.isDestroyed){var 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this.state.isDestroyed=!0,at(this.modifiers,"applyStyle")&&(this.popper.removeAttribute("x-placement"),this.popper.style.position="",this.popper.style.top="",this.popper.style.left="",this.popper.style.right="",this.popper.style.bottom="",this.popper.style.willChange="",this.popper.style[lt("transform")]=""),this.disableEventListeners(),this.options.removeOnDestroy&&this.popper.parentNode.removeChild(this.popper),this}.call(this)}},{key:"enableEventListeners",value:function(){return function(){this.state.eventsEnabled||(this.state=ht(this.reference,this.options,this.state,this.scheduleUpdate))}.call(this)}},{key:"disableEventListeners",value:function(){return ut.call(this)}}]),Dt);function Dt(e,t){var n=this,i=2<arguments.length&&void 0!==arguments[2]?arguments[2]:{};!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,Dt),this.scheduleUpdate=function(){return requestAnimationFrame(n.update)},this.update=Oe(this.update.bind(this)),this.options=ze({},Dt.Defaults,i),this.state={isDestroyed:!1,isCreated:!1,scrollParents:[]},this.reference=e&&e.jquery?e[0]:e,this.popper=t&&t.jquery?t[0]:t,this.options.modifiers={},Object.keys(ze({},Dt.Defaults.modifiers,i.modifiers)).forEach(function(e){n.options.modifiers[e]=ze({},Dt.Defaults.modifiers[e]||{},i.modifiers?i.modifiers[e]:{})}),this.modifiers=Object.keys(this.options.modifiers).map(function(e){return ze({name:e},n.options.modifiers[e])}).sort(function(e,t){return e.order-t.order}),this.modifiers.forEach(function(e){e.enabled&&Ne(e.onLoad)&&e.onLoad(n.reference,n.popper,n.options,e,n.state)}),this.update();var o=this.options.eventsEnabled;o&&this.enableEventListeners(),this.state.eventsEnabled=o}St.Utils=("undefined"!=typeof window?window:global).PopperUtils,St.placements=_t,St.Defaults=Ct;var It="dropdown",At="bs.dropdown",Ot="."+At,Nt=".data-api",kt=p.fn[It],Lt=new RegExp("38|40|27"),Pt={HIDE:"hide"+Ot,HIDDEN:"hidden"+Ot,SHOW:"show"+Ot,SHOWN:"shown"+Ot,CLICK:"click"+Ot,CLICK_DATA_API:"click"+Ot+Nt,KEYDOWN_DATA_API:"keydown"+Ot+Nt,KEYUP_DATA_API:"keyup"+Ot+Nt},xt="disabled",jt="show",Ht="dropup",Rt="dropright",Ft="dropleft",Mt="dropdown-menu-right",Wt="position-static",Ut='[data-toggle="dropdown"]',Bt=".dropdown form",qt=".dropdown-menu",Kt=".navbar-nav",Qt=".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",Vt="top-start",Yt="top-end",zt="bottom-start",Xt="bottom-end",Gt="right-start",$t="left-start",Jt={offset:0,flip:!0,boundary:"scrollParent",reference:"toggle",display:"dynamic",popperConfig:null},Zt={offset:"(number|string|function)",flip:"boolean",boundary:"(string|element)",reference:"(string|element)",display:"string",popperConfig:"(null|object)"},en=function(){function c(e,t){this._element=e,this._popper=null,this._config=this._getConfig(t),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar(),this._addEventListeners()}var e=c.prototype;return e.toggle=function(){if(!this._element.disabled&&!p(this._element).hasClass(xt)){var e=p(this._menu).hasClass(jt);c._clearMenus(),e||this.show(!0)}},e.show=function(e){if(void 0===e&&(e=!1),!(this._element.disabled||p(this._element).hasClass(xt)||p(this._menu).hasClass(jt))){var t={relatedTarget:this._element},n=p.Event(Pt.SHOW,t),i=c._getParentFromElement(this._element);if(p(i).trigger(n),!n.isDefaultPrevented()){if(!this._inNavbar&&e){if("undefined"==typeof St)throw new TypeError("Bootstrap's dropdowns require Popper.js (https://popper.js.org/)");var o=this._element;"parent"===this._config.reference?o=i:m.isElement(this._config.reference)&&(o=this._config.reference,"undefined"!=typeof this._config.reference.jquery&&(o=this._config.reference[0])),"scrollParent"!==this._config.boundary&&p(i).addClass(Wt),this._popper=new St(o,this._menu,this._getPopperConfig())}"ontouchstart"in document.documentElement&&0===p(i).closest(Kt).length&&p(document.body).children().on("mouseover",null,p.noop),this._element.focus(),this._element.setAttribute("aria-expanded",!0),p(this._menu).toggleClass(jt),p(i).toggleClass(jt).trigger(p.Event(Pt.SHOWN,t))}}},e.hide=function(){if(!this._element.disabled&&!p(this._element).hasClass(xt)&&p(this._menu).hasClass(jt)){var e={relatedTarget:this._element},t=p.Event(Pt.HIDE,e),n=c._getParentFromElement(this._element);p(n).trigger(t),t.isDefaultPrevented()||(this._popper&&this._popper.destroy(),p(this._menu).toggleClass(jt),p(n).toggleClass(jt).trigger(p.Event(Pt.HIDDEN,e)))}},e.dispose=function(){p.removeData(this._element,At),p(this._element).off(Ot),this._element=null,(this._menu=null)!==this._popper&&(this._popper.destroy(),this._popper=null)},e.update=function(){this._inNavbar=this._detectNavbar(),null!==this._popper&&this._popper.scheduleUpdate()},e._addEventListeners=function(){var t=this;p(this._element).on(Pt.CLICK,function(e){e.preventDefault(),e.stopPropagation(),t.toggle()})},e._getConfig=function(e){return e=l({},this.constructor.Default,{},p(this._element).data(),{},e),m.typeCheckConfig(It,e,this.constructor.DefaultType),e},e._getMenuElement=function(){if(!this._menu){var e=c._getParentFromElement(this._element);e&&(this._menu=e.querySelector(qt))}return this._menu},e._getPlacement=function(){var e=p(this._element.parentNode),t=zt;return e.hasClass(Ht)?(t=Vt,p(this._menu).hasClass(Mt)&&(t=Yt)):e.hasClass(Rt)?t=Gt:e.hasClass(Ft)?t=$t:p(this._menu).hasClass(Mt)&&(t=Xt),t},e._detectNavbar=function(){return 0<p(this._element).closest(".navbar").length},e._getOffset=function(){var t=this,e={};return"function"==typeof this._config.offset?e.fn=function(e){return e.offsets=l({},e.offsets,{},t._config.offset(e.offsets,t._element)||{}),e}:e.offset=this._config.offset,e},e._getPopperConfig=function(){var e={placement:this._getPlacement(),modifiers:{offset:this._getOffset(),flip:{enabled:this._config.flip},preventOverflow:{boundariesElement:this._config.boundary}}};return"static"===this._config.display&&(e.modifiers.applyStyle={enabled:!1}),l({},e,{},this._config.popperConfig)},c._jQueryInterface=function(t){return this.each(function(){var e=p(this).data(At);if(e||(e=new c(this,"object"==typeof t?t:null),p(this).data(At,e)),"string"==typeof t){if("undefined"==typeof e[t])throw new TypeError('No method named "'+t+'"');e[t]()}})},c._clearMenus=function(e){if(!e||3!==e.which&&("keyup"!==e.type||9===e.which))for(var t=[].slice.call(document.querySelectorAll(Ut)),n=0,i=t.length;n<i;n++){var o=c._getParentFromElement(t[n]),r=p(t[n]).data(At),s={relatedTarget:t[n]};if(e&&"click"===e.type&&(s.clickEvent=e),r){var a=r._menu;if(p(o).hasClass(jt)&&!(e&&("click"===e.type&&/input|textarea/i.test(e.target.tagName)||"keyup"===e.type&&9===e.which)&&p.contains(o,e.target))){var l=p.Event(Pt.HIDE,s);p(o).trigger(l),l.isDefaultPrevented()||("ontouchstart"in document.documentElement&&p(document.body).children().off("mouseover",null,p.noop),t[n].setAttribute("aria-expanded","false"),r._popper&&r._popper.destroy(),p(a).removeClass(jt),p(o).removeClass(jt).trigger(p.Event(Pt.HIDDEN,s)))}}}},c._getParentFromElement=function(e){var t,n=m.getSelectorFromElement(e);return n&&(t=document.querySelector(n)),t||e.parentNode},c._dataApiKeydownHandler=function(e){if((/input|textarea/i.test(e.target.tagName)?!(32===e.which||27!==e.which&&(40!==e.which&&38!==e.which||p(e.target).closest(qt).length)):Lt.test(e.which))&&(e.preventDefault(),e.stopPropagation(),!this.disabled&&!p(this).hasClass(xt))){var t=c._getParentFromElement(this),n=p(t).hasClass(jt);if(n||27!==e.which)if(n&&(!n||27!==e.which&&32!==e.which)){var i=[].slice.call(t.querySelectorAll(Qt)).filter(function(e){return p(e).is(":visible")});if(0!==i.length){var o=i.indexOf(e.target);38===e.which&&0<o&&o--,40===e.which&&o<i.length-1&&o++,o<0&&(o=0),i[o].focus()}}else{if(27===e.which){var r=t.querySelector(Ut);p(r).trigger("focus")}p(this).trigger("click")}}},s(c,null,[{key:"VERSION",get:function(){return"4.4.1"}},{key:"Default",get:function(){return Jt}},{key:"DefaultType",get:function(){return 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tn="modal",nn="bs.modal",on="."+nn,rn=p.fn[tn],sn={backdrop:!0,keyboard:!0,focus:!0,show:!0},an={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean",show:"boolean"},ln={HIDE:"hide"+on,HIDE_PREVENTED:"hidePrevented"+on,HIDDEN:"hidden"+on,SHOW:"show"+on,SHOWN:"shown"+on,FOCUSIN:"focusin"+on,RESIZE:"resize"+on,CLICK_DISMISS:"click.dismiss"+on,KEYDOWN_DISMISS:"keydown.dismiss"+on,MOUSEUP_DISMISS:"mouseup.dismiss"+on,MOUSEDOWN_DISMISS:"mousedown.dismiss"+on,CLICK_DATA_API:"click"+on+".data-api"},cn="modal-dialog-scrollable",hn="modal-scrollbar-measure",un="modal-backdrop",fn="modal-open",dn="fade",pn="show",mn="modal-static",gn=".modal-dialog",_n=".modal-body",vn='[data-toggle="modal"]',yn='[data-dismiss="modal"]',En=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",bn=".sticky-top",wn=function(){function o(e,t){this._config=this._getConfig(t),this._element=e,this._dialog=e.querySelector(gn),this._backdrop=null,this._isShown=!1,this._isBodyOverflowing=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollbarWidth=0}var e=o.prototype;return e.toggle=function(e){return this._isShown?this.hide():this.show(e)},e.show=function(e){var t=this;if(!this._isShown&&!this._isTransitioning){p(this._element).hasClass(dn)&&(this._isTransitioning=!0);var n=p.Event(ln.SHOW,{relatedTarget:e});p(this._element).trigger(n),this._isShown||n.isDefaultPrevented()||(this._isShown=!0,this._checkScrollbar(),this._setScrollbar(),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),p(this._element).on(ln.CLICK_DISMISS,yn,function(e){return t.hide(e)}),p(this._dialog).on(ln.MOUSEDOWN_DISMISS,function(){p(t._element).one(ln.MOUSEUP_DISMISS,function(e){p(e.target).is(t._element)&&(t._ignoreBackdropClick=!0)})}),this._showBackdrop(function(){return t._showElement(e)}))}},e.hide=function(e){var t=this;if(e&&e.preventDefault(),this._isShown&&!this._isTransitioning){var n=p.Event(ln.HIDE);if(p(this._element).trigger(n),this._isShown&&!n.isDefaultPrevented()){this._isShown=!1;var i=p(this._element).hasClass(dn);if(i&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),p(document).off(ln.FOCUSIN),p(this._element).removeClass(pn),p(this._element).off(ln.CLICK_DISMISS),p(this._dialog).off(ln.MOUSEDOWN_DISMISS),i){var o=m.getTransitionDurationFromElement(this._element);p(this._element).one(m.TRANSITION_END,function(e){return t._hideModal(e)}).emulateTransitionEnd(o)}else this._hideModal()}}},e.dispose=function(){[window,this._element,this._dialog].forEach(function(e){return p(e).off(on)}),p(document).off(ln.FOCUSIN),p.removeData(this._element,nn),this._config=null,this._element=null,this._dialog=null,this._backdrop=null,this._isShown=null,this._isBodyOverflowing=null,this._ignoreBackdropClick=null,this._isTransitioning=null,this._scrollbarWidth=null},e.handleUpdate=function(){this._adjustDialog()},e._getConfig=function(e){return e=l({},sn,{},e),m.typeCheckConfig(tn,e,an),e},e._triggerBackdropTransition=function(){var e=this;if("static"===this._config.backdrop){var t=p.Event(ln.HIDE_PREVENTED);if(p(this._element).trigger(t),t.defaultPrevented)return;this._element.classList.add(mn);var n=m.getTransitionDurationFromElement(this._element);p(this._element).one(m.TRANSITION_END,function(){e._element.classList.remove(mn)}).emulateTransitionEnd(n),this._element.focus()}else this.hide()},e._showElement=function(e){var t=this,n=p(this._element).hasClass(dn),i=this._dialog?this._dialog.querySelector(_n):null;this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.appendChild(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),p(this._dialog).hasClass(cn)&&i?i.scrollTop=0:this._element.scrollTop=0,n&&m.reflow(this._element),p(this._element).addClass(pn),this._config.focus&&this._enforceFocus();function o(){t._config.focus&&t._element.focus(),t._isTransitioning=!1,p(t._element).trigger(r)}var r=p.Event(ln.SHOWN,{relatedTarget:e});if(n){var s=m.getTransitionDurationFromElement(this._dialog);p(this._dialog).one(m.TRANSITION_END,o).emulateTransitionEnd(s)}else o()},e._enforceFocus=function(){var t=this;p(document).off(ln.FOCUSIN).on(ln.FOCUSIN,function(e){document!==e.target&&t._element!==e.target&&0===p(t._element).has(e.target).length&&t._element.focus()})},e._setEscapeEvent=function(){var t=this;this._isShown&&this._config.keyboard?p(this._element).on(ln.KEYDOWN_DISMISS,function(e){27===e.which&&t._triggerBackdropTransition()}):this._isShown||p(this._element).off(ln.KEYDOWN_DISMISS)},e._setResizeEvent=function(){var t=this;this._isShown?p(window).on(ln.RESIZE,function(e){return t.handleUpdate(e)}):p(window).off(ln.RESIZE)},e._hideModal=function(){var e=this;this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._isTransitioning=!1,this._showBackdrop(function(){p(document.body).removeClass(fn),e._resetAdjustments(),e._resetScrollbar(),p(e._element).trigger(ln.HIDDEN)})},e._removeBackdrop=function(){this._backdrop&&(p(this._backdrop).remove(),this._backdrop=null)},e._showBackdrop=function(e){var t=this,n=p(this._element).hasClass(dn)?dn:"";if(this._isShown&&this._config.backdrop){if(this._backdrop=document.createElement("div"),this._backdrop.className=un,n&&this._backdrop.classList.add(n),p(this._backdrop).appendTo(document.body),p(this._element).on(ln.CLICK_DISMISS,function(e){t._ignoreBackdropClick?t._ignoreBackdropClick=!1:e.target===e.currentTarget&&t._triggerBackdropTransition()}),n&&m.reflow(this._backdrop),p(this._backdrop).addClass(pn),!e)return;if(!n)return void e();var i=m.getTransitionDurationFromElement(this._backdrop);p(this._backdrop).one(m.TRANSITION_END,e).emulateTransitionEnd(i)}else if(!this._isShown&&this._backdrop){p(this._backdrop).removeClass(pn);var o=function(){t._removeBackdrop(),e&&e()};if(p(this._element).hasClass(dn)){var r=m.getTransitionDurationFromElement(this._backdrop);p(this._backdrop).one(m.TRANSITION_END,o).emulateTransitionEnd(r)}else o()}else e&&e()},e._adjustDialog=function(){var e=this._element.scrollHeight>document.documentElement.clientHeight;!this._isBodyOverflowing&&e&&(this._element.style.paddingLeft=this._scrollbarWidth+"px"),this._isBodyOverflowing&&!e&&(this._element.style.paddingRight=this._scrollbarWidth+"px")},e._resetAdjustments=function(){this._element.style.paddingLeft="",this._element.style.paddingRight=""},e._checkScrollbar=function(){var e=document.body.getBoundingClientRect();this._isBodyOverflowing=e.left+e.right<window.innerWidth,this._scrollbarWidth=this._getScrollbarWidth()},e._setScrollbar=function(){var o=this;if(this._isBodyOverflowing){var e=[].slice.call(document.querySelectorAll(En)),t=[].slice.call(document.querySelectorAll(bn));p(e).each(function(e,t){var n=t.style.paddingRight,i=p(t).css("padding-right");p(t).data("padding-right",n).css("padding-right",parseFloat(i)+o._scrollbarWidth+"px")}),p(t).each(function(e,t){var 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n=this._directionToOrder(e),s=t.findOne(".active.carousel-item",this._element),o=this._getItemIndex(s),r=i||this._getItemByOrder(n,s),a=this._getItemIndex(r),l=Boolean(this._interval),c=n===K,h=c?"carousel-item-start":"carousel-item-end",d=c?"carousel-item-next":"carousel-item-prev",u=this._orderToDirection(n);if(r&&r.classList.contains("active"))return void(this._isSliding=!1);if(this._isSliding)return;if(this._triggerSlideEvent(r,u).defaultPrevented)return;if(!s||!r)return;this._isSliding=!0,l&&this.pause(),this._setActiveIndicatorElement(r),this._activeElement=r;const p=()=>{P.trigger(this._element,"slid.bs.carousel",{relatedTarget:r,direction:u,from:o,to:a})};if(this._element.classList.contains("slide")){r.classList.add(d),f(r),s.classList.add(h),r.classList.add(h);const t=()=>{r.classList.remove(h,d),r.classList.add("active"),s.classList.remove("active",d,h),this._isSliding=!1,setTimeout(p,0)};this._queueCallback(t,s,!0)}else s.classList.remove("active"),r.classList.add("active"),this._isSliding=!1,p();l&&this.cycle()}_directionToOrder(t){return[Q,Y].includes(t)?g()?t===Y?X:K:t===Y?K:X:t}_orderToDirection(t){return[K,X].includes(t)?g()?t===X?Y:Q:t===X?Q:Y:t}static carouselInterface(t,e){const i=Z.getOrCreateInstance(t,e);let{_config:n}=i;"object"==typeof e&&(n={...n,...e});const s="string"==typeof e?e:n.slide;if("number"==typeof e)i.to(e);else if("string"==typeof s){if(void 0===i[s])throw new TypeError(`No method named "${s}"`);i[s]()}else n.interval&&n.ride&&(i.pause(),i.cycle())}static jQueryInterface(t){return this.each((function(){Z.carouselInterface(this,t)}))}static dataApiClickHandler(t){const e=s(this);if(!e||!e.classList.contains("carousel"))return;const i={...U.getDataAttributes(e),...U.getDataAttributes(this)},n=this.getAttribute("data-bs-slide-to");n&&(i.interval=!1),Z.carouselInterface(e,i),n&&Z.getInstance(e).to(n),t.preventDefault()}}P.on(document,"click.bs.carousel.data-api","[data-bs-slide], [data-bs-slide-to]",Z.dataApiClickHandler),P.on(window,"load.bs.carousel.data-api",()=>{const e=t.find('[data-bs-ride="carousel"]');for(let t=0,i=e.length;t<i;t++)Z.carouselInterface(e[t],Z.getInstance(e[t]))}),_(Z);const J={toggle:!0,parent:""},tt={toggle:"boolean",parent:"(string|element)"};class et extends B{constructor(e,i){super(e),this._isTransitioning=!1,this._config=this._getConfig(i),this._triggerArray=t.find(`[data-bs-toggle="collapse"][href="#${this._element.id}"],[data-bs-toggle="collapse"][data-bs-target="#${this._element.id}"]`);const s=t.find('[data-bs-toggle="collapse"]');for(let e=0,i=s.length;e<i;e++){const i=s[e],o=n(i),r=t.find(o).filter(t=>t===this._element);null!==o&&r.length&&(this._selector=o,this._triggerArray.push(i))}this._parent=this._config.parent?this._getParent():null,this._config.parent||this._addAriaAndCollapsedClass(this._element,this._triggerArray),this._config.toggle&&this.toggle()}static get Default(){return J}static get NAME(){return"collapse"}toggle(){this._element.classList.contains("show")?this.hide():this.show()}show(){if(this._isTransitioning||this._element.classList.contains("show"))return;let e,i;this._parent&&(e=t.find(".show, .collapsing",this._parent).filter(t=>"string"==typeof this._config.parent?t.getAttribute("data-bs-parent")===this._config.parent:t.classList.contains("collapse")),0===e.length&&(e=null));const n=t.findOne(this._selector);if(e){const t=e.find(t=>n!==t);if(i=t?et.getInstance(t):null,i&&i._isTransitioning)return}if(P.trigger(this._element,"show.bs.collapse").defaultPrevented)return;e&&e.forEach(t=>{n!==t&&et.collapseInterface(t,"hide"),i||R.set(t,"bs.collapse",null)});const s=this._getDimension();this._element.classList.remove("collapse"),this._element.classList.add("collapsing"),this._element.style[s]=0,this._triggerArray.length&&this._triggerArray.forEach(t=>{t.classList.remove("collapsed"),t.setAttribute("aria-expanded",!0)}),this.setTransitioning(!0);const o="scroll"+(s[0].toUpperCase()+s.slice(1));this._queueCallback(()=>{this._element.classList.remove("collapsing"),this._element.classList.add("collapse","show"),this._element.style[s]="",this.setTransitioning(!1),P.trigger(this._element,"shown.bs.collapse")},this._element,!0),this._element.style[s]=this._element[o]+"px"}hide(){if(this._isTransitioning||!this._element.classList.contains("show"))return;if(P.trigger(this._element,"hide.bs.collapse").defaultPrevented)return;const t=this._getDimension();this._element.style[t]=this._element.getBoundingClientRect()[t]+"px",f(this._element),this._element.classList.add("collapsing"),this._element.classList.remove("collapse","show");const e=this._triggerArray.length;if(e>0)for(let t=0;t<e;t++){const e=this._triggerArray[t],i=s(e);i&&!i.classList.contains("show")&&(e.classList.add("collapsed"),e.setAttribute("aria-expanded",!1))}this.setTransitioning(!0),this._element.style[t]="",this._queueCallback(()=>{this.setTransitioning(!1),this._element.classList.remove("collapsing"),this._element.classList.add("collapse"),P.trigger(this._element,"hidden.bs.collapse")},this._element,!0)}setTransitioning(t){this._isTransitioning=t}_getConfig(t){return(t={...J,...t}).toggle=Boolean(t.toggle),l("collapse",t,tt),t}_getDimension(){return this._element.classList.contains("width")?"width":"height"}_getParent(){let{parent:e}=this._config;e=a(e);const i=`[data-bs-toggle="collapse"][data-bs-parent="${e}"]`;return t.find(i,e).forEach(t=>{const e=s(t);this._addAriaAndCollapsedClass(e,[t])}),e}_addAriaAndCollapsedClass(t,e){if(!t||!e.length)return;const i=t.classList.contains("show");e.forEach(t=>{i?t.classList.remove("collapsed"):t.classList.add("collapsed"),t.setAttribute("aria-expanded",i)})}static 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0===a?"viewport":a,c=i.elementContext,h=void 0===c?"popper":c,d=i.altBoundary,u=void 0!==d&&d,f=i.padding,p=void 0===f?0:f,m=St("number"!=typeof p?p:It(p,rt)),g="popper"===h?"reference":"popper",_=t.elements.reference,b=t.rects.popper,v=t.elements[u?g:h],y=function(t,e,i){var n="clippingParents"===e?function(t){var e=Vt(At(t)),i=["absolute","fixed"].indexOf(yt(t).position)>=0&&ft(t)?Ot(t):t;return ut(i)?e.filter((function(t){return ut(t)&&vt(t,i)&&"body"!==ht(t)})):[]}(t):[].concat(e),s=[].concat(n,[i]),o=s[0],r=s.reduce((function(e,i){var n=Xt(t,i);return e.top=kt(n.top,e.top),e.right=Lt(n.right,e.right),e.bottom=Lt(n.bottom,e.bottom),e.left=kt(n.left,e.left),e}),Xt(t,o));return 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f[t]-f[e]}))}var Jt={name:"flip",enabled:!0,phase:"main",fn:function(t){var e=t.state,i=t.options,n=t.name;if(!e.modifiersData[n]._skip){for(var s=i.mainAxis,o=void 0===s||s,r=i.altAxis,a=void 0===r||r,l=i.fallbackPlacements,c=i.padding,h=i.boundary,d=i.rootBoundary,u=i.altBoundary,f=i.flipVariations,p=void 0===f||f,m=i.allowedAutoPlacements,g=e.options.placement,_=gt(g),b=l||(_!==g&&p?function(t){if("auto"===gt(t))return[];var e=Wt(t);return[zt(t),e,zt(e)]}(g):[Wt(g)]),v=[g].concat(b).reduce((function(t,i){return t.concat("auto"===gt(i)?Zt(e,{placement:i,boundary:h,rootBoundary:d,padding:c,flipVariations:p,allowedAutoPlacements:m}):i)}),[]),y=e.rects.reference,w=e.rects.popper,E=new Map,A=!0,T=v[0],O=0;O<v.length;O++){var C=v[O],k=gt(C),L="start"===Yt(C),x=[it,nt].indexOf(k)>=0,D=x?"width":"height",S=Gt(e,{placement:C,boundary:h,rootBoundary:d,altBoundary:u,padding:c}),I=x?L?st:ot:L?nt:it;y[D]>w[D]&&(I=Wt(I));var N=Wt(I),j=[];if(o&&j.push(S[k]<=0),a&&j.push(S[I]<=0,S[N]<=0),j.every((function(t){return t}))){T=C,A=!1;break}E.set(C,j)}if(A)for(var M=function(t){var e=v.find((function(e){var i=E.get(e);if(i)return i.slice(0,t).every((function(t){return t}))}));if(e)return T=e,"break"},P=p?3:1;P>0&&"break"!==M(P);P--);e.placement!==T&&(e.modifiersData[n]._skip=!0,e.placement=T,e.reset=!0)}},requiresIfExists:["offset"],data:{_skip:!1}};function te(t,e,i){return void 0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function ee(t){return[it,st,nt,ot].some((function(e){return t[e]>=0}))}var ie={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var e=t.state,i=t.name,n=e.rects.reference,s=e.rects.popper,o=e.modifiersData.preventOverflow,r=Gt(e,{elementContext:"reference"}),a=Gt(e,{altBoundary:!0}),l=te(r,n),c=te(a,s,o),h=ee(l),d=ee(c);e.modifiersData[i]={referenceClippingOffsets:l,popperEscapeOffsets:c,isReferenceHidden:h,hasPopperEscaped:d},e.attributes.popper=Object.assign({},e.attributes.popper,{"data-popper-reference-hidden":h,"data-popper-escaped":d})}},ne={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=lt.reduce((function(t,i){return t[i]=function(t,e,i){var n=gt(t),s=[ot,it].indexOf(n)>=0?-1:1,o="function"==typeof i?i(Object.assign({},e,{placement:t})):i,r=o[0],a=o[1];return r=r||0,a=(a||0)*s,[ot,st].indexOf(n)>=0?{x:a,y:r}:{x:r,y:a}}(i,e.rects,o),t}),{}),a=r[e.placement],l=a.x,c=a.y;null!=e.modifiersData.popperOffsets&&(e.modifiersData.popperOffsets.x+=l,e.modifiersData.popperOffsets.y+=c),e.modifiersData[n]=r}},se={name:"popperOffsets",enabled:!0,phase:"read",fn:function(t){var e=t.state,i=t.name;e.modifiersData[i]=Qt({reference:e.rects.reference,element:e.rects.popper,strategy:"absolute",placement:e.placement})},data:{}},oe={name:"preventOverflow",enabled:!0,phase:"main",fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.mainAxis,o=void 0===s||s,r=i.altAxis,a=void 0!==r&&r,l=i.boundary,c=i.rootBoundary,h=i.altBoundary,d=i.padding,u=i.tether,f=void 0===u||u,p=i.tetherOffset,m=void 0===p?0:p,g=Gt(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=gt(e.placement),b=Yt(e.placement),v=!b,y=Ct(_),w="x"===y?"y":"x",E=e.modifiersData.popperOffsets,A=e.rects.reference,T=e.rects.popper,O="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,C={x:0,y:0};if(E){if(o||a){var k="y"===y?it:ot,L="y"===y?nt:st,x="y"===y?"height":"width",D=E[y],S=E[y]+g[k],I=E[y]-g[L],N=f?-T[x]/2:0,j="start"===b?A[x]:T[x],M="start"===b?-T[x]:-A[x],P=e.elements.arrow,H=f&&P?bt(P):{width:0,height:0},R=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},B=R[k],W=R[L],q=Dt(0,A[x],H[x]),z=v?A[x]/2-N-q-B-O:j-q-B-O,$=v?-A[x]/2+N+q+W+O:M+q+W+O,U=e.elements.arrow&&Ot(e.elements.arrow),F=U?"y"===y?U.clientTop||0:U.clientLeft||0:0,V=e.modifiersData.offset?e.modifiersData.offset[e.placement][y]:0,K=E[y]+z-V-F,X=E[y]+$-V;if(o){var Y=Dt(f?Lt(S,K):S,D,f?kt(I,X):I);E[y]=Y,C[y]=Y-D}if(a){var Q="x"===y?it:ot,G="x"===y?nt:st,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=Dt(f?Lt(J,K):J,Z,f?kt(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function re(t,e,i){void 0===i&&(i=!1);var n,s,o=Et(e),r=_t(t),a=ft(e),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(a||!a&&!i)&&(("body"!==ht(e)||Ft(o))&&(l=(n=e)!==dt(n)&&ft(n)?{scrollLeft:(s=n).scrollLeft,scrollTop:s.scrollTop}:$t(n)),ft(e)?((c=_t(e)).x+=e.clientLeft,c.y+=e.clientTop):o&&(c.x=Ut(o))),{x:r.left+l.scrollLeft-c.x,y:r.top+l.scrollTop-c.y,width:r.width,height:r.height}}var ae={placement:"bottom",modifiers:[],strategy:"absolute"};function le(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function ce(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?ae:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},ae,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){d(),a.options=Object.assign({},o,a.options,i),a.scrollParents={reference:ut(t)?Vt(t):t.contextElement?Vt(t.contextElement):[],popper:Vt(e)};var s,r,c=function(t){var e=function(t){var e=new Map,i=new Set,n=[];return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||function t(s){i.add(s.name),[].concat(s.requires||[],s.requiresIfExists||[]).forEach((function(n){if(!i.has(n)){var s=e.get(n);s&&t(s)}})),n.push(s)}(t)})),n}(t);return ct.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((s=[].concat(n,a.options.modifiers),r=s.reduce((function(t,e){var i=t[e.name];return t[e.name]=i?Object.assign({},i,e,{options:Object.assign({},i.options,e.options),data:Object.assign({},i.data,e.data)}):e,t}),{}),Object.keys(r).map((function(t){return r[t]}))));return a.orderedModifiers=c.filter((function(t){return t.enabled})),a.orderedModifiers.forEach((function(t){var e=t.name,i=t.options,n=void 0===i?{}:i,s=t.effect;if("function"==typeof s){var o=s({state:a,name:e,instance:h,options:n});l.push(o||function(){})}})),h.update()},forceUpdate:function(){if(!c){var t=a.elements,e=t.reference,i=t.popper;if(le(e,i)){a.rects={reference:re(e,Ot(i),"fixed"===a.options.strategy),popper:bt(i)},a.reset=!1,a.placement=a.options.placement,a.orderedModifiers.forEach((function(t){return a.modifiersData[t.name]=Object.assign({},t.data)}));for(var n=0;n<a.orderedModifiers.length;n++)if(!0!==a.reset){var s=a.orderedModifiers[n],o=s.fn,r=s.options,l=void 0===r?{}:r,d=s.name;"function"==typeof o&&(a=o({state:a,options:l,name:d,instance:h})||a)}else a.reset=!1,n=-1}}},update:(s=function(){return new Promise((function(t){h.forceUpdate(),t(a)}))},function(){return r||(r=new Promise((function(t){Promise.resolve().then((function(){r=void 0,t(s())}))}))),r}),destroy:function(){d(),c=!0}};if(!le(t,e))return h;function d(){l.forEach((function(t){return t()})),l=[]}return h.setOptions(i).then((function(t){!c&&i.onFirstUpdate&&i.onFirstUpdate(t)})),h}}var he=ce(),de=ce({defaultModifiers:[Rt,se,Pt,mt]}),ue=ce({defaultModifiers:[Rt,se,Pt,mt,ne,Jt,oe,Nt,ie]}),fe=Object.freeze({__proto__:null,popperGenerator:ce,detectOverflow:Gt,createPopperBase:he,createPopper:ue,createPopperLite:de,top:it,bottom:nt,right:st,left:ot,auto:"auto",basePlacements:rt,start:"start",end:"end",clippingParents:"clippingParents",viewport:"viewport",popper:"popper",reference:"reference",variationPlacements:at,placements:lt,beforeRead:"beforeRead",read:"read",afterRead:"afterRead",beforeMain:"beforeMain",main:"main",afterMain:"afterMain",beforeWrite:"beforeWrite",write:"write",afterWrite:"afterWrite",modifierPhases:ct,applyStyles:mt,arrow:Nt,computeStyles:Pt,eventListeners:Rt,flip:Jt,hide:ie,offset:ne,popperOffsets:se,preventOverflow:oe});const pe=new RegExp("ArrowUp|ArrowDown|Escape"),me=g()?"top-end":"top-start",ge=g()?"top-start":"top-end",_e=g()?"bottom-end":"bottom-start",be=g()?"bottom-start":"bottom-end",ve=g()?"left-start":"right-start",ye=g()?"right-start":"left-start",we={offset:[0,2],boundary:"clippingParents",reference:"toggle",display:"dynamic",popperConfig:null,autoClose:!0},Ee={offset:"(array|string|function)",boundary:"(string|element)",reference:"(string|element|object)",display:"string",popperConfig:"(null|object|function)",autoClose:"(boolean|string)"};class Ae extends B{constructor(t,e){super(t),this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar(),this._addEventListeners()}static get Default(){return we}static get DefaultType(){return Ee}static get NAME(){return"dropdown"}toggle(){h(this._element)||(this._element.classList.contains("show")?this.hide():this.show())}show(){if(h(this._element)||this._menu.classList.contains("show"))return;const t=Ae.getParentFromElement(this._element),e={relatedTarget:this._element};if(!P.trigger(this._element,"show.bs.dropdown",e).defaultPrevented){if(this._inNavbar)U.setDataAttribute(this._menu,"popper","none");else{if(void 0===fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:r(this._config.reference)?e=a(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find(t=>"applyStyles"===t.name&&!1===t.enabled);this._popper=ue(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}"ontouchstart"in document.documentElement&&!t.closest(".navbar-nav")&&[].concat(...document.body.children).forEach(t=>P.on(t,"mouseover",u)),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.toggle("show"),this._element.classList.toggle("show"),P.trigger(this._element,"shown.bs.dropdown",e)}}hide(){if(h(this._element)||!this._menu.classList.contains("show"))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_addEventListeners(){P.on(this._element,"click.bs.dropdown",t=>{t.preventDefault(),this.toggle()})}_completeHide(t){P.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach(t=>P.off(t,"mouseover",u)),this._popper&&this._popper.destroy(),this._menu.classList.remove("show"),this._element.classList.remove("show"),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),P.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},l("dropdown",t,this.constructor.DefaultType),"object"==typeof t.reference&&!r(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError("dropdown".toUpperCase()+': Option "reference" provided type "object" without a required "getBoundingClientRect" method.');return t}_getMenuElement(){return t.next(this._element,".dropdown-menu")[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ve;if(t.classList.contains("dropstart"))return ye;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ge:me:e?be:_e}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map(t=>Number.parseInt(t,10)):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:e,target:i}){const n=t.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(c);n.length&&y(n,i,"ArrowDown"===e,!n.includes(i)).focus()}static dropdownInterface(t,e){const i=Ae.getOrCreateInstance(t,e);if("string"==typeof e){if(void 0===i[e])throw new TypeError(`No method named "${e}"`);i[e]()}}static jQueryInterface(t){return this.each((function(){Ae.dropdownInterface(this,t)}))}static clearMenus(e){if(e&&(2===e.button||"keyup"===e.type&&"Tab"!==e.key))return;const i=t.find('[data-bs-toggle="dropdown"]');for(let t=0,n=i.length;t<n;t++){const n=Ae.getInstance(i[t]);if(!n||!1===n._config.autoClose)continue;if(!n._element.classList.contains("show"))continue;const s={relatedTarget:n._element};if(e){const t=e.composedPath(),i=t.includes(n._menu);if(t.includes(n._element)||"inside"===n._config.autoClose&&!i||"outside"===n._config.autoClose&&i)continue;if(n._menu.contains(e.target)&&("keyup"===e.type&&"Tab"===e.key||/input|select|option|textarea|form/i.test(e.target.tagName)))continue;"click"===e.type&&(s.clickEvent=e)}n._completeHide(s)}}static getParentFromElement(t){return s(t)||t.parentNode}static dataApiKeydownHandler(e){if(/input|textarea/i.test(e.target.tagName)?"Space"===e.key||"Escape"!==e.key&&("ArrowDown"!==e.key&&"ArrowUp"!==e.key||e.target.closest(".dropdown-menu")):!pe.test(e.key))return;const i=this.classList.contains("show");if(!i&&"Escape"===e.key)return;if(e.preventDefault(),e.stopPropagation(),h(this))return;const n=()=>this.matches('[data-bs-toggle="dropdown"]')?this:t.prev(this,'[data-bs-toggle="dropdown"]')[0];return"Escape"===e.key?(n().focus(),void Ae.clearMenus()):"ArrowUp"===e.key||"ArrowDown"===e.key?(i||n().click(),void Ae.getInstance(n())._selectMenuItem(e)):void(i&&"Space"!==e.key||Ae.clearMenus())}}P.on(document,"keydown.bs.dropdown.data-api",'[data-bs-toggle="dropdown"]',Ae.dataApiKeydownHandler),P.on(document,"keydown.bs.dropdown.data-api",".dropdown-menu",Ae.dataApiKeydownHandler),P.on(document,"click.bs.dropdown.data-api",Ae.clearMenus),P.on(document,"keyup.bs.dropdown.data-api",Ae.clearMenus),P.on(document,"click.bs.dropdown.data-api",'[data-bs-toggle="dropdown"]',(function(t){t.preventDefault(),Ae.dropdownInterface(this)})),_(Ae);class Te{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,"paddingRight",e=>e+t),this._setElementAttributes(".fixed-top, .fixed-bottom, .is-fixed, .sticky-top","paddingRight",e=>e+t),this._setElementAttributes(".sticky-top","marginRight",e=>e-t)}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=i(Number.parseFloat(s))+"px"})}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(".fixed-top, .fixed-bottom, .is-fixed, .sticky-top","paddingRight"),this._resetElementAttributes(".sticky-top","marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)})}_applyManipulationCallback(e,i){r(e)?i(e):t.find(e,this._element).forEach(i)}isOverflowing(){return this.getWidth()>0}}const Oe={isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},Ce={isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"};class ke{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&f(this._getElement()),this._getElement().classList.add("show"),this._emulateAnimation(()=>{b(t)})):b(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove("show"),this._emulateAnimation(()=>{this.dispose(),b(t)})):b(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className="modal-backdrop",this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...Oe,..."object"==typeof t?t:{}}).rootElement=a(t.rootElement),l("backdrop",t,Ce),t}_append(){this._isAppended||(this._config.rootElement.appendChild(this._getElement()),P.on(this._getElement(),"mousedown.bs.backdrop",()=>{b(this._config.clickCallback)}),this._isAppended=!0)}dispose(){this._isAppended&&(P.off(this._element,"mousedown.bs.backdrop"),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){v(t,this._getElement(),this._config.isAnimated)}}const Le={backdrop:!0,keyboard:!0,focus:!0},xe={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"};class De extends B{constructor(e,i){super(e),this._config=this._getConfig(i),this._dialog=t.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new Te}static get Default(){return Le}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||P.trigger(this._element,"show.bs.modal",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add("modal-open"),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),P.on(this._element,"click.dismiss.bs.modal",'[data-bs-dismiss="modal"]',t=>this.hide(t)),P.on(this._dialog,"mousedown.dismiss.bs.modal",()=>{P.one(this._element,"mouseup.dismiss.bs.modal",t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)})}),this._showBackdrop(()=>this._showElement(t)))}hide(t){if(t&&["A","AREA"].includes(t.target.tagName)&&t.preventDefault(),!this._isShown||this._isTransitioning)return;if(P.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const e=this._isAnimated();e&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),P.off(document,"focusin.bs.modal"),this._element.classList.remove("show"),P.off(this._element,"click.dismiss.bs.modal"),P.off(this._dialog,"mousedown.dismiss.bs.modal"),this._queueCallback(()=>this._hideModal(),this._element,e)}dispose(){[window,this._dialog].forEach(t=>P.off(t,".bs.modal")),this._backdrop.dispose(),super.dispose(),P.off(document,"focusin.bs.modal")}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new ke({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_getConfig(t){return t={...Le,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},l("modal",t,xe),t}_showElement(e){const i=this._isAnimated(),n=t.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.appendChild(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,n&&(n.scrollTop=0),i&&f(this._element),this._element.classList.add("show"),this._config.focus&&this._enforceFocus(),this._queueCallback(()=>{this._config.focus&&this._element.focus(),this._isTransitioning=!1,P.trigger(this._element,"shown.bs.modal",{relatedTarget:e})},this._dialog,i)}_enforceFocus(){P.off(document,"focusin.bs.modal"),P.on(document,"focusin.bs.modal",t=>{document===t.target||this._element===t.target||this._element.contains(t.target)||this._element.focus()})}_setEscapeEvent(){this._isShown?P.on(this._element,"keydown.dismiss.bs.modal",t=>{this._config.keyboard&&"Escape"===t.key?(t.preventDefault(),this.hide()):this._config.keyboard||"Escape"!==t.key||this._triggerBackdropTransition()}):P.off(this._element,"keydown.dismiss.bs.modal")}_setResizeEvent(){this._isShown?P.on(window,"resize.bs.modal",()=>this._adjustDialog()):P.off(window,"resize.bs.modal")}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide(()=>{document.body.classList.remove("modal-open"),this._resetAdjustments(),this._scrollBar.reset(),P.trigger(this._element,"hidden.bs.modal")})}_showBackdrop(t){P.on(this._element,"click.dismiss.bs.modal",t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())}),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(P.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains("modal-static")||(n||(i.overflowY="hidden"),t.add("modal-static"),this._queueCallback(()=>{t.remove("modal-static"),n||this._queueCallback(()=>{i.overflowY=""},this._dialog)},this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!g()||i&&!t&&g())&&(this._element.style.paddingLeft=e+"px"),(i&&!t&&!g()||!i&&t&&g())&&(this._element.style.paddingRight=e+"px")}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=De.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}P.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=s(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),P.one(e,"show.bs.modal",t=>{t.defaultPrevented||P.one(e,"hidden.bs.modal",()=>{c(this)&&this.focus()})}),De.getOrCreateInstance(e).toggle(this)})),_(De);const Se={backdrop:!0,keyboard:!0,scroll:!1},Ie={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"};class Ne extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._addEventListeners()}static get NAME(){return"offcanvas"}static get Default(){return Se}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||P.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||((new Te).hide(),this._enforceFocusOnElement(this._element)),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add("show"),this._queueCallback(()=>{P.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})},this._element,!0))}hide(){this._isShown&&(P.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(P.off(document,"focusin.bs.offcanvas"),this._element.blur(),this._isShown=!1,this._element.classList.remove("show"),this._backdrop.hide(),this._queueCallback(()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new Te).reset(),P.trigger(this._element,"hidden.bs.offcanvas")},this._element,!0)))}dispose(){this._backdrop.dispose(),super.dispose(),P.off(document,"focusin.bs.offcanvas")}_getConfig(t){return t={...Se,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},l("offcanvas",t,Ie),t}_initializeBackDrop(){return new ke({isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_enforceFocusOnElement(t){P.off(document,"focusin.bs.offcanvas"),P.on(document,"focusin.bs.offcanvas",e=>{document===e.target||t===e.target||t.contains(e.target)||t.focus()}),t.focus()}_addEventListeners(){P.on(this._element,"click.dismiss.bs.offcanvas",'[data-bs-dismiss="offcanvas"]',()=>this.hide()),P.on(this._element,"keydown.dismiss.bs.offcanvas",t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()})}static jQueryInterface(t){return this.each((function(){const e=Ne.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}P.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(e){const i=s(this);if(["A","AREA"].includes(this.tagName)&&e.preventDefault(),h(this))return;P.one(i,"hidden.bs.offcanvas",()=>{c(this)&&this.focus()});const n=t.findOne(".offcanvas.show");n&&n!==i&&Ne.getInstance(n).hide(),Ne.getOrCreateInstance(i).toggle(this)})),P.on(window,"load.bs.offcanvas.data-api",()=>t.find(".offcanvas.show").forEach(t=>Ne.getOrCreateInstance(t).show())),_(Ne);const je=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Me=/^(?:(?:https?|mailto|ftp|tel|file):|[^#&/:?]*(?:[#/?]|$))/i,Pe=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,He=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!je.has(i)||Boolean(Me.test(t.nodeValue)||Pe.test(t.nodeValue));const n=e.filter(t=>t instanceof RegExp);for(let t=0,e=n.length;t<e;t++)if(n[t].test(i))return!0;return!1};function Re(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=Object.keys(e),o=[].concat(...n.body.querySelectorAll("*"));for(let t=0,i=o.length;t<i;t++){const i=o[t],n=i.nodeName.toLowerCase();if(!s.includes(n)){i.remove();continue}const r=[].concat(...i.attributes),a=[].concat(e["*"]||[],e[n]||[]);r.forEach(t=>{He(t,a)||i.removeAttribute(t.nodeName)})}return n.body.innerHTML}const Be=new RegExp("(^|\\s)bs-tooltip\\S+","g"),We=new Set(["sanitize","allowList","sanitizeFn"]),qe={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},ze={AUTO:"auto",TOP:"top",RIGHT:g()?"left":"right",BOTTOM:"bottom",LEFT:g()?"right":"left"},$e={animation:!0,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},Ue={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"};class Fe extends B{constructor(t,e){if(void 0===fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return $e}static get NAME(){return"tooltip"}static get Event(){return Ue}static get DefaultType(){return qe}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains("show"))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),P.off(this._element.closest(".modal"),"hide.bs.modal",this._hideModalHandler),this.tip&&this.tip.remove(),this._popper&&this._popper.destroy(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=P.trigger(this._element,this.constructor.Event.SHOW),i=d(this._element),n=null===i?this._element.ownerDocument.documentElement.contains(this._element):i.contains(this._element);if(t.defaultPrevented||!n)return;const s=this.getTipElement(),o=e(this.constructor.NAME);s.setAttribute("id",o),this._element.setAttribute("aria-describedby",o),this.setContent(),this._config.animation&&s.classList.add("fade");const r="function"==typeof this._config.placement?this._config.placement.call(this,s,this._element):this._config.placement,a=this._getAttachment(r);this._addAttachmentClass(a);const{container:l}=this._config;R.set(s,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(l.appendChild(s),P.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=ue(this._element,s,this._getPopperConfig(a)),s.classList.add("show");const c="function"==typeof this._config.customClass?this._config.customClass():this._config.customClass;c&&s.classList.add(...c.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach(t=>{P.on(t,"mouseover",u)});const h=this.tip.classList.contains("fade");this._queueCallback(()=>{const t=this._hoverState;this._hoverState=null,P.trigger(this._element,this.constructor.Event.SHOWN),"out"===t&&this._leave(null,this)},this.tip,h)}hide(){if(!this._popper)return;const t=this.getTipElement();if(P.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove("show"),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach(t=>P.off(t,"mouseover",u)),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains("fade");this._queueCallback(()=>{this._isWithActiveTrigger()||("show"!==this._hoverState&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),P.trigger(this._element,this.constructor.Event.HIDDEN),this._popper&&(this._popper.destroy(),this._popper=null))},this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");return t.innerHTML=this._config.template,this.tip=t.children[0],this.tip}setContent(){const e=this.getTipElement();this.setElementContent(t.findOne(".tooltip-inner",e),this.getTitle()),e.classList.remove("fade","show")}setElementContent(t,e){if(null!==t)return r(e)?(e=a(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.appendChild(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Re(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){let t=this._element.getAttribute("data-bs-original-title");return t||(t="function"==typeof this._config.title?this._config.title.call(this._element):this._config.title),t}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){const i=this.constructor.DATA_KEY;return(e=e||R.get(t.delegateTarget,i))||(e=new this.constructor(t.delegateTarget,this._getDelegateConfig()),R.set(t.delegateTarget,i,e)),e}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map(t=>Number.parseInt(t,10)):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add("bs-tooltip-"+this.updateAttachment(t))}_getAttachment(t){return ze[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach(t=>{if("click"===t)P.on(this._element,this.constructor.Event.CLICK,this._config.selector,t=>this.toggle(t));else if("manual"!==t){const e="hover"===t?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i="hover"===t?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;P.on(this._element,e,this._config.selector,t=>this._enter(t)),P.on(this._element,i,this._config.selector,t=>this._leave(t))}}),this._hideModalHandler=()=>{this._element&&this.hide()},P.on(this._element.closest(".modal"),"hide.bs.modal",this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?"focus":"hover"]=!0),e.getTipElement().classList.contains("show")||"show"===e._hoverState?e._hoverState="show":(clearTimeout(e._timeout),e._hoverState="show",e._config.delay&&e._config.delay.show?e._timeout=setTimeout(()=>{"show"===e._hoverState&&e.show()},e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?"focus":"hover"]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState="out",e._config.delay&&e._config.delay.hide?e._timeout=setTimeout(()=>{"out"===e._hoverState&&e.hide()},e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach(t=>{We.has(t)&&delete e[t]}),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:a(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),l("tooltip",t,this.constructor.DefaultType),t.sanitize&&(t.template=Re(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};if(this._config)for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=t.getAttribute("class").match(Be);null!==e&&e.length>0&&e.map(t=>t.trim()).forEach(e=>t.classList.remove(e))}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}static jQueryInterface(t){return this.each((function(){const e=Fe.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}_(Fe);const Ve=new RegExp("(^|\\s)bs-popover\\S+","g"),Ke={...Fe.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>'},Xe={...Fe.DefaultType,content:"(string|element|function)"},Ye={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class Qe extends Fe{static get Default(){return Ke}static get NAME(){return"popover"}static get Event(){return Ye}static get DefaultType(){return Xe}isWithContent(){return this.getTitle()||this._getContent()}getTipElement(){return this.tip||(this.tip=super.getTipElement(),this.getTitle()||t.findOne(".popover-header",this.tip).remove(),this._getContent()||t.findOne(".popover-body",this.tip).remove()),this.tip}setContent(){const e=this.getTipElement();this.setElementContent(t.findOne(".popover-header",e),this.getTitle());let i=this._getContent();"function"==typeof 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diff --git a/docs/js/vendor/bootstrap.bundle.min.js.map b/docs/js/vendor/bootstrap.bundle.min.js.map
index 54d2495018b0d..7a01d5cd8b647 100644
--- a/docs/js/vendor/bootstrap.bundle.min.js.map
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* --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): util.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\n\n/**\n * ------------------------------------------------------------------------\n * Private TransitionEnd Helpers\n * ------------------------------------------------------------------------\n */\n\nconst TRANSITION_END = 'transitionend'\nconst MAX_UID = 1000000\nconst MILLISECONDS_MULTIPLIER = 1000\n\n// Shoutout AngusCroll (https://goo.gl/pxwQGp)\nfunction toType(obj) {\n  return {}.toString.call(obj).match(/\\s([a-z]+)/i)[1].toLowerCase()\n}\n\nfunction getSpecialTransitionEndEvent() {\n  return {\n    bindType: TRANSITION_END,\n    delegateType: TRANSITION_END,\n    handle(event) {\n      if ($(event.target).is(this)) {\n        return event.handleObj.handler.apply(this, arguments) // eslint-disable-line prefer-rest-params\n      }\n      return undefined // eslint-disable-line no-undefined\n    }\n  }\n}\n\nfunction transitionEndEmulator(duration) {\n  let called = false\n\n  $(this).one(Util.TRANSITION_END, () => {\n    called = true\n  })\n\n  setTimeout(() => {\n    if (!called) {\n      Util.triggerTransitionEnd(this)\n    }\n  }, duration)\n\n  return this\n}\n\nfunction setTransitionEndSupport() {\n  $.fn.emulateTransitionEnd = transitionEndEmulator\n  $.event.special[Util.TRANSITION_END] = getSpecialTransitionEndEvent()\n}\n\n/**\n * --------------------------------------------------------------------------\n * Public Util Api\n * --------------------------------------------------------------------------\n */\n\nconst Util = {\n\n  TRANSITION_END: 'bsTransitionEnd',\n\n  getUID(prefix) {\n    do {\n      // eslint-disable-next-line no-bitwise\n      prefix += ~~(Math.random() * MAX_UID) // \"~~\" acts like a faster Math.floor() here\n    } while (document.getElementById(prefix))\n    return prefix\n  },\n\n  getSelectorFromElement(element) {\n    let selector = element.getAttribute('data-target')\n\n    if (!selector || selector === '#') {\n      const hrefAttr = element.getAttribute('href')\n      selector = hrefAttr && hrefAttr !== '#' ? hrefAttr.trim() : ''\n    }\n\n    try {\n      return document.querySelector(selector) ? selector : null\n    } catch (err) {\n      return null\n    }\n  },\n\n  getTransitionDurationFromElement(element) {\n    if (!element) {\n      return 0\n    }\n\n    // Get transition-duration of the element\n    let transitionDuration = $(element).css('transition-duration')\n    let transitionDelay = $(element).css('transition-delay')\n\n    const floatTransitionDuration = parseFloat(transitionDuration)\n    const floatTransitionDelay = parseFloat(transitionDelay)\n\n    // Return 0 if element or transition duration is not found\n    if (!floatTransitionDuration && !floatTransitionDelay) {\n      return 0\n    }\n\n    // If multiple durations are defined, take the first\n    transitionDuration = transitionDuration.split(',')[0]\n    transitionDelay = transitionDelay.split(',')[0]\n\n    return (parseFloat(transitionDuration) + parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n  },\n\n  reflow(element) {\n    return element.offsetHeight\n  },\n\n  triggerTransitionEnd(element) {\n    $(element).trigger(TRANSITION_END)\n  },\n\n  // TODO: Remove in v5\n  supportsTransitionEnd() {\n    return Boolean(TRANSITION_END)\n  },\n\n  isElement(obj) {\n    return (obj[0] || obj).nodeType\n  },\n\n  typeCheckConfig(componentName, config, configTypes) {\n    for (const property in configTypes) {\n      if (Object.prototype.hasOwnProperty.call(configTypes, property)) {\n        const expectedTypes = configTypes[property]\n        const value         = config[property]\n        const valueType     = value && Util.isElement(value)\n          ? 'element' : toType(value)\n\n        if (!new RegExp(expectedTypes).test(valueType)) {\n          throw new Error(\n            `${componentName.toUpperCase()}: ` +\n            `Option \"${property}\" provided type \"${valueType}\" ` +\n            `but expected type \"${expectedTypes}\".`)\n        }\n      }\n    }\n  },\n\n  findShadowRoot(element) {\n    if (!document.documentElement.attachShadow) {\n      return null\n    }\n\n    // Can find the shadow root otherwise it'll return the document\n    if (typeof element.getRootNode === 'function') {\n      const root = element.getRootNode()\n      return root instanceof ShadowRoot ? root : null\n    }\n\n    if (element instanceof ShadowRoot) {\n      return element\n    }\n\n    // when we don't find a shadow root\n    if (!element.parentNode) {\n      return null\n    }\n\n    return Util.findShadowRoot(element.parentNode)\n  },\n\n  jQueryDetection() {\n    if (typeof $ === 'undefined') {\n      throw new TypeError('Bootstrap\\'s JavaScript requires jQuery. jQuery must be included before Bootstrap\\'s JavaScript.')\n    }\n\n    const version = $.fn.jquery.split(' ')[0].split('.')\n    const minMajor = 1\n    const ltMajor = 2\n    const minMinor = 9\n    const minPatch = 1\n    const maxMajor = 4\n\n    if (version[0] < ltMajor && version[1] < minMinor || version[0] === minMajor && version[1] === minMinor && version[2] < minPatch || version[0] >= maxMajor) {\n      throw new Error('Bootstrap\\'s JavaScript requires at least jQuery v1.9.1 but less than v4.0.0')\n    }\n  }\n}\n\nUtil.jQueryDetection()\nsetTransitionEndSupport()\n\nexport default Util\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                = 'alert'\nconst VERSION             = '4.4.1'\nconst DATA_KEY            = 'bs.alert'\nconst EVENT_KEY           = `.${DATA_KEY}`\nconst DATA_API_KEY        = '.data-api'\nconst JQUERY_NO_CONFLICT  = $.fn[NAME]\n\nconst Selector = {\n  DISMISS : '[data-dismiss=\"alert\"]'\n}\n\nconst Event = {\n  CLOSE          : `close${EVENT_KEY}`,\n  CLOSED         : `closed${EVENT_KEY}`,\n  CLICK_DATA_API : `click${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  ALERT : 'alert',\n  FADE  : 'fade',\n  SHOW  : 'show'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Alert {\n  constructor(element) {\n    this._element = element\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  // Public\n\n  close(element) {\n    let rootElement = this._element\n    if (element) {\n      rootElement = this._getRootElement(element)\n    }\n\n    const customEvent = this._triggerCloseEvent(rootElement)\n\n    if (customEvent.isDefaultPrevented()) {\n      return\n    }\n\n    this._removeElement(rootElement)\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n    this._element = null\n  }\n\n  // Private\n\n  _getRootElement(element) {\n    const selector = Util.getSelectorFromElement(element)\n    let parent     = false\n\n    if (selector) {\n      parent = document.querySelector(selector)\n    }\n\n    if (!parent) {\n      parent = $(element).closest(`.${ClassName.ALERT}`)[0]\n    }\n\n    return parent\n  }\n\n  _triggerCloseEvent(element) {\n    const closeEvent = $.Event(Event.CLOSE)\n\n    $(element).trigger(closeEvent)\n    return closeEvent\n  }\n\n  _removeElement(element) {\n    $(element).removeClass(ClassName.SHOW)\n\n    if (!$(element).hasClass(ClassName.FADE)) {\n      this._destroyElement(element)\n      return\n    }\n\n    const transitionDuration = Util.getTransitionDurationFromElement(element)\n\n    $(element)\n      .one(Util.TRANSITION_END, (event) => this._destroyElement(element, event))\n      .emulateTransitionEnd(transitionDuration)\n  }\n\n  _destroyElement(element) {\n    $(element)\n      .detach()\n      .trigger(Event.CLOSED)\n      .remove()\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      const $element = $(this)\n      let data       = $element.data(DATA_KEY)\n\n      if (!data) {\n        data = new Alert(this)\n        $element.data(DATA_KEY, data)\n      }\n\n      if (config === 'close') {\n        data[config](this)\n      }\n    })\n  }\n\n  static _handleDismiss(alertInstance) {\n    return function (event) {\n      if (event) {\n        event.preventDefault()\n      }\n\n      alertInstance.close(this)\n    }\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document).on(\n  Event.CLICK_DATA_API,\n  Selector.DISMISS,\n  Alert._handleDismiss(new Alert())\n)\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME]             = Alert._jQueryInterface\n$.fn[NAME].Constructor = Alert\n$.fn[NAME].noConflict  = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Alert._jQueryInterface\n}\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                = 'button'\nconst VERSION             = '4.4.1'\nconst DATA_KEY            = 'bs.button'\nconst EVENT_KEY           = `.${DATA_KEY}`\nconst DATA_API_KEY        = '.data-api'\nconst JQUERY_NO_CONFLICT  = $.fn[NAME]\n\nconst ClassName = {\n  ACTIVE : 'active',\n  BUTTON : 'btn',\n  FOCUS  : 'focus'\n}\n\nconst Selector = {\n  DATA_TOGGLE_CARROT   : '[data-toggle^=\"button\"]',\n  DATA_TOGGLES         : '[data-toggle=\"buttons\"]',\n  DATA_TOGGLE          : '[data-toggle=\"button\"]',\n  DATA_TOGGLES_BUTTONS : '[data-toggle=\"buttons\"] .btn',\n  INPUT                : 'input:not([type=\"hidden\"])',\n  ACTIVE               : '.active',\n  BUTTON               : '.btn'\n}\n\nconst Event = {\n  CLICK_DATA_API      : `click${EVENT_KEY}${DATA_API_KEY}`,\n  FOCUS_BLUR_DATA_API : `focus${EVENT_KEY}${DATA_API_KEY} ` +\n                          `blur${EVENT_KEY}${DATA_API_KEY}`,\n  LOAD_DATA_API       : `load${EVENT_KEY}${DATA_API_KEY}`\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Button {\n  constructor(element) {\n    this._element = element\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  // Public\n\n  toggle() {\n    let triggerChangeEvent = true\n    let addAriaPressed = true\n    const rootElement = $(this._element).closest(\n      Selector.DATA_TOGGLES\n    )[0]\n\n    if (rootElement) {\n      const input = this._element.querySelector(Selector.INPUT)\n\n      if (input) {\n        if (input.type === 'radio') {\n          if (input.checked &&\n            this._element.classList.contains(ClassName.ACTIVE)) {\n            triggerChangeEvent = false\n          } else {\n            const activeElement = rootElement.querySelector(Selector.ACTIVE)\n\n            if (activeElement) {\n              $(activeElement).removeClass(ClassName.ACTIVE)\n            }\n          }\n        } else if (input.type === 'checkbox') {\n          if (this._element.tagName === 'LABEL' && input.checked === this._element.classList.contains(ClassName.ACTIVE)) {\n            triggerChangeEvent = false\n          }\n        } else {\n          // if it's not a radio button or checkbox don't add a pointless/invalid checked property to the input\n          triggerChangeEvent = false\n        }\n\n        if (triggerChangeEvent) {\n          input.checked = !this._element.classList.contains(ClassName.ACTIVE)\n          $(input).trigger('change')\n        }\n\n        input.focus()\n        addAriaPressed = false\n      }\n    }\n\n    if (!(this._element.hasAttribute('disabled') || this._element.classList.contains('disabled'))) {\n      if (addAriaPressed) {\n        this._element.setAttribute('aria-pressed',\n          !this._element.classList.contains(ClassName.ACTIVE))\n      }\n\n      if (triggerChangeEvent) {\n        $(this._element).toggleClass(ClassName.ACTIVE)\n      }\n    }\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n    this._element = null\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n\n      if (!data) {\n        data = new Button(this)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document)\n  .on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE_CARROT, (event) => {\n    let button = event.target\n\n    if (!$(button).hasClass(ClassName.BUTTON)) {\n      button = $(button).closest(Selector.BUTTON)[0]\n    }\n\n    if (!button || button.hasAttribute('disabled') || button.classList.contains('disabled')) {\n      event.preventDefault() // work around Firefox bug #1540995\n    } else {\n      const inputBtn = button.querySelector(Selector.INPUT)\n\n      if (inputBtn && (inputBtn.hasAttribute('disabled') || inputBtn.classList.contains('disabled'))) {\n        event.preventDefault() // work around Firefox bug #1540995\n        return\n      }\n\n      Button._jQueryInterface.call($(button), 'toggle')\n    }\n  })\n  .on(Event.FOCUS_BLUR_DATA_API, Selector.DATA_TOGGLE_CARROT, (event) => {\n    const button = $(event.target).closest(Selector.BUTTON)[0]\n    $(button).toggleClass(ClassName.FOCUS, /^focus(in)?$/.test(event.type))\n  })\n\n$(window).on(Event.LOAD_DATA_API, () => {\n  // ensure correct active class is set to match the controls' actual values/states\n\n  // find all checkboxes/readio buttons inside data-toggle groups\n  let buttons = [].slice.call(document.querySelectorAll(Selector.DATA_TOGGLES_BUTTONS))\n  for (let i = 0, len = buttons.length; i < len; i++) {\n    const button = buttons[i]\n    const input = button.querySelector(Selector.INPUT)\n    if (input.checked || input.hasAttribute('checked')) {\n      button.classList.add(ClassName.ACTIVE)\n    } else {\n      button.classList.remove(ClassName.ACTIVE)\n    }\n  }\n\n  // find all button toggles\n  buttons = [].slice.call(document.querySelectorAll(Selector.DATA_TOGGLE))\n  for (let i = 0, len = buttons.length; i < len; i++) {\n    const button = buttons[i]\n    if (button.getAttribute('aria-pressed') === 'true') {\n      button.classList.add(ClassName.ACTIVE)\n    } else {\n      button.classList.remove(ClassName.ACTIVE)\n    }\n  }\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Button._jQueryInterface\n$.fn[NAME].Constructor = Button\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Button._jQueryInterface\n}\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                   = 'carousel'\nconst VERSION                = '4.4.1'\nconst DATA_KEY               = 'bs.carousel'\nconst EVENT_KEY              = `.${DATA_KEY}`\nconst DATA_API_KEY           = '.data-api'\nconst JQUERY_NO_CONFLICT     = $.fn[NAME]\nconst ARROW_LEFT_KEYCODE     = 37 // KeyboardEvent.which value for left arrow key\nconst ARROW_RIGHT_KEYCODE    = 39 // KeyboardEvent.which value for right arrow key\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\nconst SWIPE_THRESHOLD        = 40\n\nconst Default = {\n  interval : 5000,\n  keyboard : true,\n  slide    : false,\n  pause    : 'hover',\n  wrap     : true,\n  touch    : true\n}\n\nconst DefaultType = {\n  interval : '(number|boolean)',\n  keyboard : 'boolean',\n  slide    : '(boolean|string)',\n  pause    : '(string|boolean)',\n  wrap     : 'boolean',\n  touch    : 'boolean'\n}\n\nconst Direction = {\n  NEXT     : 'next',\n  PREV     : 'prev',\n  LEFT     : 'left',\n  RIGHT    : 'right'\n}\n\nconst Event = {\n  SLIDE          : `slide${EVENT_KEY}`,\n  SLID           : `slid${EVENT_KEY}`,\n  KEYDOWN        : `keydown${EVENT_KEY}`,\n  MOUSEENTER     : `mouseenter${EVENT_KEY}`,\n  MOUSELEAVE     : `mouseleave${EVENT_KEY}`,\n  TOUCHSTART     : `touchstart${EVENT_KEY}`,\n  TOUCHMOVE      : `touchmove${EVENT_KEY}`,\n  TOUCHEND       : `touchend${EVENT_KEY}`,\n  POINTERDOWN    : `pointerdown${EVENT_KEY}`,\n  POINTERUP      : `pointerup${EVENT_KEY}`,\n  DRAG_START     : `dragstart${EVENT_KEY}`,\n  LOAD_DATA_API  : `load${EVENT_KEY}${DATA_API_KEY}`,\n  CLICK_DATA_API : `click${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  CAROUSEL      : 'carousel',\n  ACTIVE        : 'active',\n  SLIDE         : 'slide',\n  RIGHT         : 'carousel-item-right',\n  LEFT          : 'carousel-item-left',\n  NEXT          : 'carousel-item-next',\n  PREV          : 'carousel-item-prev',\n  ITEM          : 'carousel-item',\n  POINTER_EVENT : 'pointer-event'\n}\n\nconst Selector = {\n  ACTIVE      : '.active',\n  ACTIVE_ITEM : '.active.carousel-item',\n  ITEM        : '.carousel-item',\n  ITEM_IMG    : '.carousel-item img',\n  NEXT_PREV   : '.carousel-item-next, .carousel-item-prev',\n  INDICATORS  : '.carousel-indicators',\n  DATA_SLIDE  : '[data-slide], [data-slide-to]',\n  DATA_RIDE   : '[data-ride=\"carousel\"]'\n}\n\nconst PointerType = {\n  TOUCH : 'touch',\n  PEN   : 'pen'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\nclass Carousel {\n  constructor(element, config) {\n    this._items         = null\n    this._interval      = null\n    this._activeElement = null\n    this._isPaused      = false\n    this._isSliding     = false\n    this.touchTimeout   = null\n    this.touchStartX    = 0\n    this.touchDeltaX    = 0\n\n    this._config            = this._getConfig(config)\n    this._element           = element\n    this._indicatorsElement = this._element.querySelector(Selector.INDICATORS)\n    this._touchSupported    = 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n    this._pointerEvent      = Boolean(window.PointerEvent || window.MSPointerEvent)\n\n    this._addEventListeners()\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  next() {\n    if (!this._isSliding) {\n      this._slide(Direction.NEXT)\n    }\n  }\n\n  nextWhenVisible() {\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden &&\n      ($(this._element).is(':visible') && $(this._element).css('visibility') !== 'hidden')) {\n      this.next()\n    }\n  }\n\n  prev() {\n    if (!this._isSliding) {\n      this._slide(Direction.PREV)\n    }\n  }\n\n  pause(event) {\n    if (!event) {\n      this._isPaused = true\n    }\n\n    if (this._element.querySelector(Selector.NEXT_PREV)) {\n      Util.triggerTransitionEnd(this._element)\n      this.cycle(true)\n    }\n\n    clearInterval(this._interval)\n    this._interval = null\n  }\n\n  cycle(event) {\n    if (!event) {\n      this._isPaused = false\n    }\n\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n\n    if (this._config.interval && !this._isPaused) {\n      this._interval = setInterval(\n        (document.visibilityState ? this.nextWhenVisible : this.next).bind(this),\n        this._config.interval\n      )\n    }\n  }\n\n  to(index) {\n    this._activeElement = this._element.querySelector(Selector.ACTIVE_ITEM)\n\n    const activeIndex = this._getItemIndex(this._activeElement)\n\n    if (index > this._items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      $(this._element).one(Event.SLID, () => this.to(index))\n      return\n    }\n\n    if (activeIndex === index) {\n      this.pause()\n      this.cycle()\n      return\n    }\n\n    const direction = index > activeIndex\n      ? Direction.NEXT\n      : Direction.PREV\n\n    this._slide(direction, this._items[index])\n  }\n\n  dispose() {\n    $(this._element).off(EVENT_KEY)\n    $.removeData(this._element, DATA_KEY)\n\n    this._items             = null\n    this._config            = null\n    this._element           = null\n    this._interval          = null\n    this._isPaused          = null\n    this._isSliding         = null\n    this._activeElement     = null\n    this._indicatorsElement = null\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...config\n    }\n    Util.typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _handleSwipe() {\n    const absDeltax = Math.abs(this.touchDeltaX)\n\n    if (absDeltax <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltax / this.touchDeltaX\n\n    this.touchDeltaX = 0\n\n    // swipe left\n    if (direction > 0) {\n      this.prev()\n    }\n\n    // swipe right\n    if (direction < 0) {\n      this.next()\n    }\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      $(this._element)\n        .on(Event.KEYDOWN, (event) => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      $(this._element)\n        .on(Event.MOUSEENTER, (event) => this.pause(event))\n        .on(Event.MOUSELEAVE, (event) => this.cycle(event))\n    }\n\n    if (this._config.touch) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    if (!this._touchSupported) {\n      return\n    }\n\n    const start = (event) => {\n      if (this._pointerEvent && PointerType[event.originalEvent.pointerType.toUpperCase()]) {\n        this.touchStartX = event.originalEvent.clientX\n      } else if (!this._pointerEvent) {\n        this.touchStartX = event.originalEvent.touches[0].clientX\n      }\n    }\n\n    const move = (event) => {\n      // ensure swiping with one touch and not pinching\n      if (event.originalEvent.touches && event.originalEvent.touches.length > 1) {\n        this.touchDeltaX = 0\n      } else {\n        this.touchDeltaX = event.originalEvent.touches[0].clientX - this.touchStartX\n      }\n    }\n\n    const end = (event) => {\n      if (this._pointerEvent && PointerType[event.originalEvent.pointerType.toUpperCase()]) {\n        this.touchDeltaX = event.originalEvent.clientX - this.touchStartX\n      }\n\n      this._handleSwipe()\n      if (this._config.pause === 'hover') {\n        // If it's a touch-enabled device, mouseenter/leave are fired as\n        // part of the mouse compatibility events on first tap - the carousel\n        // would stop cycling until user tapped out of it;\n        // here, we listen for touchend, explicitly pause the carousel\n        // (as if it's the second time we tap on it, mouseenter compat event\n        // is NOT fired) and after a timeout (to allow for mouse compatibility\n        // events to fire) we explicitly restart cycling\n\n        this.pause()\n        if (this.touchTimeout) {\n          clearTimeout(this.touchTimeout)\n        }\n        this.touchTimeout = setTimeout((event) => this.cycle(event), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n      }\n    }\n\n    $(this._element.querySelectorAll(Selector.ITEM_IMG)).on(Event.DRAG_START, (e) => e.preventDefault())\n    if (this._pointerEvent) {\n      $(this._element).on(Event.POINTERDOWN, (event) => start(event))\n      $(this._element).on(Event.POINTERUP, (event) => end(event))\n\n      this._element.classList.add(ClassName.POINTER_EVENT)\n    } else {\n      $(this._element).on(Event.TOUCHSTART, (event) => start(event))\n      $(this._element).on(Event.TOUCHMOVE, (event) => move(event))\n      $(this._element).on(Event.TOUCHEND, (event) => end(event))\n    }\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    switch (event.which) {\n      case ARROW_LEFT_KEYCODE:\n        event.preventDefault()\n        this.prev()\n        break\n      case ARROW_RIGHT_KEYCODE:\n        event.preventDefault()\n        this.next()\n        break\n      default:\n    }\n  }\n\n  _getItemIndex(element) {\n    this._items = element && element.parentNode\n      ? [].slice.call(element.parentNode.querySelectorAll(Selector.ITEM))\n      : []\n    return this._items.indexOf(element)\n  }\n\n  _getItemByDirection(direction, activeElement) {\n    const isNextDirection = direction === Direction.NEXT\n    const isPrevDirection = direction === Direction.PREV\n    const activeIndex     = this._getItemIndex(activeElement)\n    const lastItemIndex   = this._items.length - 1\n    const isGoingToWrap   = isPrevDirection && activeIndex === 0 ||\n                            isNextDirection && activeIndex === lastItemIndex\n\n    if (isGoingToWrap && !this._config.wrap) {\n      return activeElement\n    }\n\n    const delta     = direction === Direction.PREV ? -1 : 1\n    const itemIndex = (activeIndex + delta) % this._items.length\n\n    return itemIndex === -1\n      ? this._items[this._items.length - 1] : this._items[itemIndex]\n  }\n\n  _triggerSlideEvent(relatedTarget, eventDirectionName) {\n    const targetIndex = this._getItemIndex(relatedTarget)\n    const fromIndex = this._getItemIndex(this._element.querySelector(Selector.ACTIVE_ITEM))\n    const slideEvent = $.Event(Event.SLIDE, {\n      relatedTarget,\n      direction: eventDirectionName,\n      from: fromIndex,\n      to: targetIndex\n    })\n\n    $(this._element).trigger(slideEvent)\n\n    return slideEvent\n  }\n\n  _setActiveIndicatorElement(element) {\n    if (this._indicatorsElement) {\n      const indicators = [].slice.call(this._indicatorsElement.querySelectorAll(Selector.ACTIVE))\n      $(indicators)\n        .removeClass(ClassName.ACTIVE)\n\n      const nextIndicator = this._indicatorsElement.children[\n        this._getItemIndex(element)\n      ]\n\n      if (nextIndicator) {\n        $(nextIndicator).addClass(ClassName.ACTIVE)\n      }\n    }\n  }\n\n  _slide(direction, element) {\n    const activeElement = this._element.querySelector(Selector.ACTIVE_ITEM)\n    const activeElementIndex = this._getItemIndex(activeElement)\n    const nextElement   = element || activeElement &&\n      this._getItemByDirection(direction, activeElement)\n    const nextElementIndex = this._getItemIndex(nextElement)\n    const isCycling = Boolean(this._interval)\n\n    let directionalClassName\n    let orderClassName\n    let eventDirectionName\n\n    if (direction === Direction.NEXT) {\n      directionalClassName = ClassName.LEFT\n      orderClassName = ClassName.NEXT\n      eventDirectionName = Direction.LEFT\n    } else {\n      directionalClassName = ClassName.RIGHT\n      orderClassName = ClassName.PREV\n      eventDirectionName = Direction.RIGHT\n    }\n\n    if (nextElement && $(nextElement).hasClass(ClassName.ACTIVE)) {\n      this._isSliding = false\n      return\n    }\n\n    const slideEvent = this._triggerSlideEvent(nextElement, eventDirectionName)\n    if (slideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      return\n    }\n\n    this._isSliding = true\n\n    if (isCycling) {\n      this.pause()\n    }\n\n    this._setActiveIndicatorElement(nextElement)\n\n    const slidEvent = $.Event(Event.SLID, {\n      relatedTarget: nextElement,\n      direction: eventDirectionName,\n      from: activeElementIndex,\n      to: nextElementIndex\n    })\n\n    if ($(this._element).hasClass(ClassName.SLIDE)) {\n      $(nextElement).addClass(orderClassName)\n\n      Util.reflow(nextElement)\n\n      $(activeElement).addClass(directionalClassName)\n      $(nextElement).addClass(directionalClassName)\n\n      const nextElementInterval = parseInt(nextElement.getAttribute('data-interval'), 10)\n      if (nextElementInterval) {\n        this._config.defaultInterval = this._config.defaultInterval || this._config.interval\n        this._config.interval = nextElementInterval\n      } else {\n        this._config.interval = this._config.defaultInterval || this._config.interval\n      }\n\n      const transitionDuration = Util.getTransitionDurationFromElement(activeElement)\n\n      $(activeElement)\n        .one(Util.TRANSITION_END, () => {\n          $(nextElement)\n            .removeClass(`${directionalClassName} ${orderClassName}`)\n            .addClass(ClassName.ACTIVE)\n\n          $(activeElement).removeClass(`${ClassName.ACTIVE} ${orderClassName} ${directionalClassName}`)\n\n          this._isSliding = false\n\n          setTimeout(() => $(this._element).trigger(slidEvent), 0)\n        })\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      $(activeElement).removeClass(ClassName.ACTIVE)\n      $(nextElement).addClass(ClassName.ACTIVE)\n\n      this._isSliding = false\n      $(this._element).trigger(slidEvent)\n    }\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      let _config = {\n        ...Default,\n        ...$(this).data()\n      }\n\n      if (typeof config === 'object') {\n        _config = {\n          ..._config,\n          ...config\n        }\n      }\n\n      const action = typeof config === 'string' ? config : _config.slide\n\n      if (!data) {\n        data = new Carousel(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'number') {\n        data.to(config)\n      } else if (typeof action === 'string') {\n        if (typeof data[action] === 'undefined') {\n          throw new TypeError(`No method named \"${action}\"`)\n        }\n        data[action]()\n      } else if (_config.interval && _config.ride) {\n        data.pause()\n        data.cycle()\n      }\n    })\n  }\n\n  static _dataApiClickHandler(event) {\n    const selector = Util.getSelectorFromElement(this)\n\n    if (!selector) {\n      return\n    }\n\n    const target = $(selector)[0]\n\n    if (!target || !$(target).hasClass(ClassName.CAROUSEL)) {\n      return\n    }\n\n    const config = {\n      ...$(target).data(),\n      ...$(this).data()\n    }\n    const slideIndex = this.getAttribute('data-slide-to')\n\n    if (slideIndex) {\n      config.interval = false\n    }\n\n    Carousel._jQueryInterface.call($(target), config)\n\n    if (slideIndex) {\n      $(target).data(DATA_KEY).to(slideIndex)\n    }\n\n    event.preventDefault()\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document)\n  .on(Event.CLICK_DATA_API, Selector.DATA_SLIDE, Carousel._dataApiClickHandler)\n\n$(window).on(Event.LOAD_DATA_API, () => {\n  const carousels = [].slice.call(document.querySelectorAll(Selector.DATA_RIDE))\n  for (let i = 0, len = carousels.length; i < len; i++) {\n    const $carousel = $(carousels[i])\n    Carousel._jQueryInterface.call($carousel, $carousel.data())\n  }\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Carousel._jQueryInterface\n$.fn[NAME].Constructor = Carousel\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Carousel._jQueryInterface\n}\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                = 'collapse'\nconst VERSION             = '4.4.1'\nconst DATA_KEY            = 'bs.collapse'\nconst EVENT_KEY           = `.${DATA_KEY}`\nconst DATA_API_KEY        = '.data-api'\nconst JQUERY_NO_CONFLICT  = $.fn[NAME]\n\nconst Default = {\n  toggle : true,\n  parent : ''\n}\n\nconst DefaultType = {\n  toggle : 'boolean',\n  parent : '(string|element)'\n}\n\nconst Event = {\n  SHOW           : `show${EVENT_KEY}`,\n  SHOWN          : `shown${EVENT_KEY}`,\n  HIDE           : `hide${EVENT_KEY}`,\n  HIDDEN         : `hidden${EVENT_KEY}`,\n  CLICK_DATA_API : `click${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  SHOW       : 'show',\n  COLLAPSE   : 'collapse',\n  COLLAPSING : 'collapsing',\n  COLLAPSED  : 'collapsed'\n}\n\nconst Dimension = {\n  WIDTH  : 'width',\n  HEIGHT : 'height'\n}\n\nconst Selector = {\n  ACTIVES     : '.show, .collapsing',\n  DATA_TOGGLE : '[data-toggle=\"collapse\"]'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Collapse {\n  constructor(element, config) {\n    this._isTransitioning = false\n    this._element         = element\n    this._config          = this._getConfig(config)\n    this._triggerArray    = [].slice.call(document.querySelectorAll(\n      `[data-toggle=\"collapse\"][href=\"#${element.id}\"],` +\n      `[data-toggle=\"collapse\"][data-target=\"#${element.id}\"]`\n    ))\n\n    const toggleList = [].slice.call(document.querySelectorAll(Selector.DATA_TOGGLE))\n    for (let i = 0, len = toggleList.length; i < len; i++) {\n      const elem = toggleList[i]\n      const selector = Util.getSelectorFromElement(elem)\n      const filterElement = [].slice.call(document.querySelectorAll(selector))\n        .filter((foundElem) => foundElem === element)\n\n      if (selector !== null && filterElement.length > 0) {\n        this._selector = selector\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._parent = this._config.parent ? this._getParent() : null\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._element, this._triggerArray)\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  toggle() {\n    if ($(this._element).hasClass(ClassName.SHOW)) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning ||\n      $(this._element).hasClass(ClassName.SHOW)) {\n      return\n    }\n\n    let actives\n    let activesData\n\n    if (this._parent) {\n      actives = [].slice.call(this._parent.querySelectorAll(Selector.ACTIVES))\n        .filter((elem) => {\n          if (typeof this._config.parent === 'string') {\n            return elem.getAttribute('data-parent') === this._config.parent\n          }\n\n          return elem.classList.contains(ClassName.COLLAPSE)\n        })\n\n      if (actives.length === 0) {\n        actives = null\n      }\n    }\n\n    if (actives) {\n      activesData = $(actives).not(this._selector).data(DATA_KEY)\n      if (activesData && activesData._isTransitioning) {\n        return\n      }\n    }\n\n    const startEvent = $.Event(Event.SHOW)\n    $(this._element).trigger(startEvent)\n    if (startEvent.isDefaultPrevented()) {\n      return\n    }\n\n    if (actives) {\n      Collapse._jQueryInterface.call($(actives).not(this._selector), 'hide')\n      if (!activesData) {\n        $(actives).data(DATA_KEY, null)\n      }\n    }\n\n    const dimension = this._getDimension()\n\n    $(this._element)\n      .removeClass(ClassName.COLLAPSE)\n      .addClass(ClassName.COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    if (this._triggerArray.length) {\n      $(this._triggerArray)\n        .removeClass(ClassName.COLLAPSED)\n        .attr('aria-expanded', true)\n    }\n\n    this.setTransitioning(true)\n\n    const complete = () => {\n      $(this._element)\n        .removeClass(ClassName.COLLAPSING)\n        .addClass(ClassName.COLLAPSE)\n        .addClass(ClassName.SHOW)\n\n      this._element.style[dimension] = ''\n\n      this.setTransitioning(false)\n\n      $(this._element).trigger(Event.SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n    const transitionDuration = Util.getTransitionDurationFromElement(this._element)\n\n    $(this._element)\n      .one(Util.TRANSITION_END, complete)\n      .emulateTransitionEnd(transitionDuration)\n\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning ||\n      !$(this._element).hasClass(ClassName.SHOW)) {\n      return\n    }\n\n    const startEvent = $.Event(Event.HIDE)\n    $(this._element).trigger(startEvent)\n    if (startEvent.isDefaultPrevented()) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    Util.reflow(this._element)\n\n    $(this._element)\n      .addClass(ClassName.COLLAPSING)\n      .removeClass(ClassName.COLLAPSE)\n      .removeClass(ClassName.SHOW)\n\n    const triggerArrayLength = this._triggerArray.length\n    if (triggerArrayLength > 0) {\n      for (let i = 0; i < triggerArrayLength; i++) {\n        const trigger = this._triggerArray[i]\n        const selector = Util.getSelectorFromElement(trigger)\n\n        if (selector !== null) {\n          const $elem = $([].slice.call(document.querySelectorAll(selector)))\n          if (!$elem.hasClass(ClassName.SHOW)) {\n            $(trigger).addClass(ClassName.COLLAPSED)\n              .attr('aria-expanded', false)\n          }\n        }\n      }\n    }\n\n    this.setTransitioning(true)\n\n    const complete = () => {\n      this.setTransitioning(false)\n      $(this._element)\n        .removeClass(ClassName.COLLAPSING)\n        .addClass(ClassName.COLLAPSE)\n        .trigger(Event.HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n    const transitionDuration = Util.getTransitionDurationFromElement(this._element)\n\n    $(this._element)\n      .one(Util.TRANSITION_END, complete)\n      .emulateTransitionEnd(transitionDuration)\n  }\n\n  setTransitioning(isTransitioning) {\n    this._isTransitioning = isTransitioning\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n\n    this._config          = null\n    this._parent          = null\n    this._element         = null\n    this._triggerArray    = null\n    this._isTransitioning = null\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...config\n    }\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    Util.typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _getDimension() {\n    const hasWidth = $(this._element).hasClass(Dimension.WIDTH)\n    return hasWidth ? Dimension.WIDTH : Dimension.HEIGHT\n  }\n\n  _getParent() {\n    let parent\n\n    if (Util.isElement(this._config.parent)) {\n      parent = this._config.parent\n\n      // It's a jQuery object\n      if (typeof this._config.parent.jquery !== 'undefined') {\n        parent = this._config.parent[0]\n      }\n    } else {\n      parent = document.querySelector(this._config.parent)\n    }\n\n    const selector =\n      `[data-toggle=\"collapse\"][data-parent=\"${this._config.parent}\"]`\n\n    const children = [].slice.call(parent.querySelectorAll(selector))\n    $(children).each((i, element) => {\n      this._addAriaAndCollapsedClass(\n        Collapse._getTargetFromElement(element),\n        [element]\n      )\n    })\n\n    return parent\n  }\n\n  _addAriaAndCollapsedClass(element, triggerArray) {\n    const isOpen = $(element).hasClass(ClassName.SHOW)\n\n    if (triggerArray.length) {\n      $(triggerArray)\n        .toggleClass(ClassName.COLLAPSED, !isOpen)\n        .attr('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n\n  static _getTargetFromElement(element) {\n    const selector = Util.getSelectorFromElement(element)\n    return selector ? document.querySelector(selector) : null\n  }\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      const $this   = $(this)\n      let data      = $this.data(DATA_KEY)\n      const _config = {\n        ...Default,\n        ...$this.data(),\n        ...typeof config === 'object' && config ? config : {}\n      }\n\n      if (!data && _config.toggle && /show|hide/.test(config)) {\n        _config.toggle = false\n      }\n\n      if (!data) {\n        data = new Collapse(this, _config)\n        $this.data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.currentTarget.tagName === 'A') {\n    event.preventDefault()\n  }\n\n  const $trigger = $(this)\n  const selector = Util.getSelectorFromElement(this)\n  const selectors = [].slice.call(document.querySelectorAll(selector))\n\n  $(selectors).each(function () {\n    const $target = $(this)\n    const data    = $target.data(DATA_KEY)\n    const config  = data ? 'toggle' : $trigger.data()\n    Collapse._jQueryInterface.call($target, config)\n  })\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Collapse._jQueryInterface\n$.fn[NAME].Constructor = Collapse\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Collapse._jQueryInterface\n}\n\nexport default Collapse\n","/**!\n * @fileOverview Kickass library to create and place poppers near their reference elements.\n * @version 1.16.0\n * @license\n * Copyright (c) 2016 Federico Zivolo and contributors\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in all\n * copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && typeof navigator !== 'undefined';\n\nvar timeoutDuration = function () {\n  var longerTimeoutBrowsers = ['Edge', 'Trident', 'Firefox'];\n  for (var i = 0; i < longerTimeoutBrowsers.length; i += 1) {\n    if (isBrowser && navigator.userAgent.indexOf(longerTimeoutBrowsers[i]) >= 0) {\n      return 1;\n    }\n  }\n  return 0;\n}();\n\nfunction microtaskDebounce(fn) {\n  var called = false;\n  return function () {\n    if (called) {\n      return;\n    }\n    called = true;\n    window.Promise.resolve().then(function () {\n      called = false;\n      fn();\n    });\n  };\n}\n\nfunction taskDebounce(fn) {\n  var scheduled = false;\n  return function () {\n    if (!scheduled) {\n      scheduled = true;\n      setTimeout(function () {\n        scheduled = false;\n        fn();\n      }, timeoutDuration);\n    }\n  };\n}\n\nvar supportsMicroTasks = isBrowser && window.Promise;\n\n/**\n* Create a debounced version of a method, that's asynchronously deferred\n* but called in the minimum time possible.\n*\n* @method\n* @memberof Popper.Utils\n* @argument {Function} fn\n* @returns {Function}\n*/\nvar debounce = supportsMicroTasks ? microtaskDebounce : taskDebounce;\n\n/**\n * Check if the given variable is a function\n * @method\n * @memberof Popper.Utils\n * @argument {Any} functionToCheck - variable to check\n * @returns {Boolean} answer to: is a function?\n */\nfunction isFunction(functionToCheck) {\n  var getType = {};\n  return functionToCheck && getType.toString.call(functionToCheck) === '[object Function]';\n}\n\n/**\n * Get CSS computed property of the given element\n * @method\n * @memberof Popper.Utils\n * @argument {Eement} element\n * @argument {String} property\n */\nfunction getStyleComputedProperty(element, property) {\n  if (element.nodeType !== 1) {\n    return [];\n  }\n  // NOTE: 1 DOM access here\n  var window = element.ownerDocument.defaultView;\n  var css = window.getComputedStyle(element, null);\n  return property ? css[property] : css;\n}\n\n/**\n * Returns the parentNode or the host of the element\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @returns {Element} parent\n */\nfunction getParentNode(element) {\n  if (element.nodeName === 'HTML') {\n    return element;\n  }\n  return element.parentNode || element.host;\n}\n\n/**\n * Returns the scrolling parent of the given element\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @returns {Element} scroll parent\n */\nfunction getScrollParent(element) {\n  // Return body, `getScroll` will take care to get the correct `scrollTop` from it\n  if (!element) {\n    return document.body;\n  }\n\n  switch (element.nodeName) {\n    case 'HTML':\n    case 'BODY':\n      return element.ownerDocument.body;\n    case '#document':\n      return element.body;\n  }\n\n  // Firefox want us to check `-x` and `-y` variations as well\n\n  var _getStyleComputedProp = getStyleComputedProperty(element),\n      overflow = _getStyleComputedProp.overflow,\n      overflowX = _getStyleComputedProp.overflowX,\n      overflowY = _getStyleComputedProp.overflowY;\n\n  if (/(auto|scroll|overlay)/.test(overflow + overflowY + overflowX)) {\n    return element;\n  }\n\n  return getScrollParent(getParentNode(element));\n}\n\n/**\n * Returns the reference node of the reference object, or the reference object itself.\n * @method\n * @memberof Popper.Utils\n * @param {Element|Object} reference - the reference element (the popper will be relative to this)\n * @returns {Element} parent\n */\nfunction getReferenceNode(reference) {\n  return reference && reference.referenceNode ? reference.referenceNode : reference;\n}\n\nvar isIE11 = isBrowser && !!(window.MSInputMethodContext && document.documentMode);\nvar isIE10 = isBrowser && /MSIE 10/.test(navigator.userAgent);\n\n/**\n * Determines if the browser is Internet Explorer\n * @method\n * @memberof Popper.Utils\n * @param {Number} version to check\n * @returns {Boolean} isIE\n */\nfunction isIE(version) {\n  if (version === 11) {\n    return isIE11;\n  }\n  if (version === 10) {\n    return isIE10;\n  }\n  return isIE11 || isIE10;\n}\n\n/**\n * Returns the offset parent of the given element\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @returns {Element} offset parent\n */\nfunction getOffsetParent(element) {\n  if (!element) {\n    return document.documentElement;\n  }\n\n  var noOffsetParent = isIE(10) ? document.body : null;\n\n  // NOTE: 1 DOM access here\n  var offsetParent = element.offsetParent || null;\n  // Skip hidden elements which don't have an offsetParent\n  while (offsetParent === noOffsetParent && element.nextElementSibling) {\n    offsetParent = (element = element.nextElementSibling).offsetParent;\n  }\n\n  var nodeName = offsetParent && offsetParent.nodeName;\n\n  if (!nodeName || nodeName === 'BODY' || nodeName === 'HTML') {\n    return element ? element.ownerDocument.documentElement : document.documentElement;\n  }\n\n  // .offsetParent will return the closest TH, TD or TABLE in case\n  // no offsetParent is present, I hate this job...\n  if (['TH', 'TD', 'TABLE'].indexOf(offsetParent.nodeName) !== -1 && getStyleComputedProperty(offsetParent, 'position') === 'static') {\n    return getOffsetParent(offsetParent);\n  }\n\n  return offsetParent;\n}\n\nfunction isOffsetContainer(element) {\n  var nodeName = element.nodeName;\n\n  if (nodeName === 'BODY') {\n    return false;\n  }\n  return nodeName === 'HTML' || getOffsetParent(element.firstElementChild) === element;\n}\n\n/**\n * Finds the root node (document, shadowDOM root) of the given element\n * @method\n * @memberof Popper.Utils\n * @argument {Element} node\n * @returns {Element} root node\n */\nfunction getRoot(node) {\n  if (node.parentNode !== null) {\n    return getRoot(node.parentNode);\n  }\n\n  return node;\n}\n\n/**\n * Finds the offset parent common to the two provided nodes\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element1\n * @argument {Element} element2\n * @returns {Element} common offset parent\n */\nfunction findCommonOffsetParent(element1, element2) {\n  // This check is needed to avoid errors in case one of the elements isn't defined for any reason\n  if (!element1 || !element1.nodeType || !element2 || !element2.nodeType) {\n    return document.documentElement;\n  }\n\n  // Here we make sure to give as \"start\" the element that comes first in the DOM\n  var order = element1.compareDocumentPosition(element2) & Node.DOCUMENT_POSITION_FOLLOWING;\n  var start = order ? element1 : element2;\n  var end = order ? element2 : element1;\n\n  // Get common ancestor container\n  var range = document.createRange();\n  range.setStart(start, 0);\n  range.setEnd(end, 0);\n  var commonAncestorContainer = range.commonAncestorContainer;\n\n  // Both nodes are inside #document\n\n  if (element1 !== commonAncestorContainer && element2 !== commonAncestorContainer || start.contains(end)) {\n    if (isOffsetContainer(commonAncestorContainer)) {\n      return commonAncestorContainer;\n    }\n\n    return getOffsetParent(commonAncestorContainer);\n  }\n\n  // one of the nodes is inside shadowDOM, find which one\n  var element1root = getRoot(element1);\n  if (element1root.host) {\n    return findCommonOffsetParent(element1root.host, element2);\n  } else {\n    return findCommonOffsetParent(element1, getRoot(element2).host);\n  }\n}\n\n/**\n * Gets the scroll value of the given element in the given side (top and left)\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @argument {String} side `top` or `left`\n * @returns {number} amount of scrolled pixels\n */\nfunction getScroll(element) {\n  var side = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'top';\n\n  var upperSide = side === 'top' ? 'scrollTop' : 'scrollLeft';\n  var nodeName = element.nodeName;\n\n  if (nodeName === 'BODY' || nodeName === 'HTML') {\n    var html = element.ownerDocument.documentElement;\n    var scrollingElement = element.ownerDocument.scrollingElement || html;\n    return scrollingElement[upperSide];\n  }\n\n  return element[upperSide];\n}\n\n/*\n * Sum or subtract the element scroll values (left and top) from a given rect object\n * @method\n * @memberof Popper.Utils\n * @param {Object} rect - Rect object you want to change\n * @param {HTMLElement} element - The element from the function reads the scroll values\n * @param {Boolean} subtract - set to true if you want to subtract the scroll values\n * @return {Object} rect - The modifier rect object\n */\nfunction includeScroll(rect, element) {\n  var subtract = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n  var scrollTop = getScroll(element, 'top');\n  var scrollLeft = getScroll(element, 'left');\n  var modifier = subtract ? -1 : 1;\n  rect.top += scrollTop * modifier;\n  rect.bottom += scrollTop * modifier;\n  rect.left += scrollLeft * modifier;\n  rect.right += scrollLeft * modifier;\n  return rect;\n}\n\n/*\n * Helper to detect borders of a given element\n * @method\n * @memberof Popper.Utils\n * @param {CSSStyleDeclaration} styles\n * Result of `getStyleComputedProperty` on the given element\n * @param {String} axis - `x` or `y`\n * @return {number} borders - The borders size of the given axis\n */\n\nfunction getBordersSize(styles, axis) {\n  var sideA = axis === 'x' ? 'Left' : 'Top';\n  var sideB = sideA === 'Left' ? 'Right' : 'Bottom';\n\n  return parseFloat(styles['border' + sideA + 'Width'], 10) + parseFloat(styles['border' + sideB + 'Width'], 10);\n}\n\nfunction getSize(axis, body, html, computedStyle) {\n  return Math.max(body['offset' + axis], body['scroll' + axis], html['client' + axis], html['offset' + axis], html['scroll' + axis], isIE(10) ? parseInt(html['offset' + axis]) + parseInt(computedStyle['margin' + (axis === 'Height' ? 'Top' : 'Left')]) + parseInt(computedStyle['margin' + (axis === 'Height' ? 'Bottom' : 'Right')]) : 0);\n}\n\nfunction getWindowSizes(document) {\n  var body = document.body;\n  var html = document.documentElement;\n  var computedStyle = isIE(10) && getComputedStyle(html);\n\n  return {\n    height: getSize('Height', body, html, computedStyle),\n    width: getSize('Width', body, html, computedStyle)\n  };\n}\n\nvar classCallCheck = function (instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n};\n\nvar createClass = function () {\n  function defineProperties(target, props) {\n    for (var i = 0; i < props.length; i++) {\n      var descriptor = props[i];\n      descriptor.enumerable = descriptor.enumerable || false;\n      descriptor.configurable = true;\n      if (\"value\" in descriptor) descriptor.writable = true;\n      Object.defineProperty(target, descriptor.key, descriptor);\n    }\n  }\n\n  return function (Constructor, protoProps, staticProps) {\n    if (protoProps) defineProperties(Constructor.prototype, protoProps);\n    if (staticProps) defineProperties(Constructor, staticProps);\n    return Constructor;\n  };\n}();\n\n\n\n\n\nvar defineProperty = function (obj, key, value) {\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n\n  return obj;\n};\n\nvar _extends = Object.assign || function (target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments[i];\n\n    for (var key in source) {\n      if (Object.prototype.hasOwnProperty.call(source, key)) {\n        target[key] = source[key];\n      }\n    }\n  }\n\n  return target;\n};\n\n/**\n * Given element offsets, generate an output similar to getBoundingClientRect\n * @method\n * @memberof Popper.Utils\n * @argument {Object} offsets\n * @returns {Object} ClientRect like output\n */\nfunction getClientRect(offsets) {\n  return _extends({}, offsets, {\n    right: offsets.left + offsets.width,\n    bottom: offsets.top + offsets.height\n  });\n}\n\n/**\n * Get bounding client rect of given element\n * @method\n * @memberof Popper.Utils\n * @param {HTMLElement} element\n * @return {Object} client rect\n */\nfunction getBoundingClientRect(element) {\n  var rect = {};\n\n  // IE10 10 FIX: Please, don't ask, the element isn't\n  // considered in DOM in some circumstances...\n  // This isn't reproducible in IE10 compatibility mode of IE11\n  try {\n    if (isIE(10)) {\n      rect = element.getBoundingClientRect();\n      var scrollTop = getScroll(element, 'top');\n      var scrollLeft = getScroll(element, 'left');\n      rect.top += scrollTop;\n      rect.left += scrollLeft;\n      rect.bottom += scrollTop;\n      rect.right += scrollLeft;\n    } else {\n      rect = element.getBoundingClientRect();\n    }\n  } catch (e) {}\n\n  var result = {\n    left: rect.left,\n    top: rect.top,\n    width: rect.right - rect.left,\n    height: rect.bottom - rect.top\n  };\n\n  // subtract scrollbar size from sizes\n  var sizes = element.nodeName === 'HTML' ? getWindowSizes(element.ownerDocument) : {};\n  var width = sizes.width || element.clientWidth || result.width;\n  var height = sizes.height || element.clientHeight || result.height;\n\n  var horizScrollbar = element.offsetWidth - width;\n  var vertScrollbar = element.offsetHeight - height;\n\n  // if an hypothetical scrollbar is detected, we must be sure it's not a `border`\n  // we make this check conditional for performance reasons\n  if (horizScrollbar || vertScrollbar) {\n    var styles = getStyleComputedProperty(element);\n    horizScrollbar -= getBordersSize(styles, 'x');\n    vertScrollbar -= getBordersSize(styles, 'y');\n\n    result.width -= horizScrollbar;\n    result.height -= vertScrollbar;\n  }\n\n  return getClientRect(result);\n}\n\nfunction getOffsetRectRelativeToArbitraryNode(children, parent) {\n  var fixedPosition = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n  var isIE10 = isIE(10);\n  var isHTML = parent.nodeName === 'HTML';\n  var childrenRect = getBoundingClientRect(children);\n  var parentRect = getBoundingClientRect(parent);\n  var scrollParent = getScrollParent(children);\n\n  var styles = getStyleComputedProperty(parent);\n  var borderTopWidth = parseFloat(styles.borderTopWidth, 10);\n  var borderLeftWidth = parseFloat(styles.borderLeftWidth, 10);\n\n  // In cases where the parent is fixed, we must ignore negative scroll in offset calc\n  if (fixedPosition && isHTML) {\n    parentRect.top = Math.max(parentRect.top, 0);\n    parentRect.left = Math.max(parentRect.left, 0);\n  }\n  var offsets = getClientRect({\n    top: childrenRect.top - parentRect.top - borderTopWidth,\n    left: childrenRect.left - parentRect.left - borderLeftWidth,\n    width: childrenRect.width,\n    height: childrenRect.height\n  });\n  offsets.marginTop = 0;\n  offsets.marginLeft = 0;\n\n  // Subtract margins of documentElement in case it's being used as parent\n  // we do this only on HTML because it's the only element that behaves\n  // differently when margins are applied to it. The margins are included in\n  // the box of the documentElement, in the other cases not.\n  if (!isIE10 && isHTML) {\n    var marginTop = parseFloat(styles.marginTop, 10);\n    var marginLeft = parseFloat(styles.marginLeft, 10);\n\n    offsets.top -= borderTopWidth - marginTop;\n    offsets.bottom -= borderTopWidth - marginTop;\n    offsets.left -= borderLeftWidth - marginLeft;\n    offsets.right -= borderLeftWidth - marginLeft;\n\n    // Attach marginTop and marginLeft because in some circumstances we may need them\n    offsets.marginTop = marginTop;\n    offsets.marginLeft = marginLeft;\n  }\n\n  if (isIE10 && !fixedPosition ? parent.contains(scrollParent) : parent === scrollParent && scrollParent.nodeName !== 'BODY') {\n    offsets = includeScroll(offsets, parent);\n  }\n\n  return offsets;\n}\n\nfunction getViewportOffsetRectRelativeToArtbitraryNode(element) {\n  var excludeScroll = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n\n  var html = element.ownerDocument.documentElement;\n  var relativeOffset = getOffsetRectRelativeToArbitraryNode(element, html);\n  var width = Math.max(html.clientWidth, window.innerWidth || 0);\n  var height = Math.max(html.clientHeight, window.innerHeight || 0);\n\n  var scrollTop = !excludeScroll ? getScroll(html) : 0;\n  var scrollLeft = !excludeScroll ? getScroll(html, 'left') : 0;\n\n  var offset = {\n    top: scrollTop - relativeOffset.top + relativeOffset.marginTop,\n    left: scrollLeft - relativeOffset.left + relativeOffset.marginLeft,\n    width: width,\n    height: height\n  };\n\n  return getClientRect(offset);\n}\n\n/**\n * Check if the given element is fixed or is inside a fixed parent\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @argument {Element} customContainer\n * @returns {Boolean} answer to \"isFixed?\"\n */\nfunction isFixed(element) {\n  var nodeName = element.nodeName;\n  if (nodeName === 'BODY' || nodeName === 'HTML') {\n    return false;\n  }\n  if (getStyleComputedProperty(element, 'position') === 'fixed') {\n    return true;\n  }\n  var parentNode = getParentNode(element);\n  if (!parentNode) {\n    return false;\n  }\n  return isFixed(parentNode);\n}\n\n/**\n * Finds the first parent of an element that has a transformed property defined\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @returns {Element} first transformed parent or documentElement\n */\n\nfunction getFixedPositionOffsetParent(element) {\n  // This check is needed to avoid errors in case one of the elements isn't defined for any reason\n  if (!element || !element.parentElement || isIE()) {\n    return document.documentElement;\n  }\n  var el = element.parentElement;\n  while (el && getStyleComputedProperty(el, 'transform') === 'none') {\n    el = el.parentElement;\n  }\n  return el || document.documentElement;\n}\n\n/**\n * Computed the boundaries limits and return them\n * @method\n * @memberof Popper.Utils\n * @param {HTMLElement} popper\n * @param {HTMLElement} reference\n * @param {number} padding\n * @param {HTMLElement} boundariesElement - Element used to define the boundaries\n * @param {Boolean} fixedPosition - Is in fixed position mode\n * @returns {Object} Coordinates of the boundaries\n */\nfunction getBoundaries(popper, reference, padding, boundariesElement) {\n  var fixedPosition = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : false;\n\n  // NOTE: 1 DOM access here\n\n  var boundaries = { top: 0, left: 0 };\n  var offsetParent = fixedPosition ? getFixedPositionOffsetParent(popper) : findCommonOffsetParent(popper, getReferenceNode(reference));\n\n  // Handle viewport case\n  if (boundariesElement === 'viewport') {\n    boundaries = getViewportOffsetRectRelativeToArtbitraryNode(offsetParent, fixedPosition);\n  } else {\n    // Handle other cases based on DOM element used as boundaries\n    var boundariesNode = void 0;\n    if (boundariesElement === 'scrollParent') {\n      boundariesNode = getScrollParent(getParentNode(reference));\n      if (boundariesNode.nodeName === 'BODY') {\n        boundariesNode = popper.ownerDocument.documentElement;\n      }\n    } else if (boundariesElement === 'window') {\n      boundariesNode = popper.ownerDocument.documentElement;\n    } else {\n      boundariesNode = boundariesElement;\n    }\n\n    var offsets = getOffsetRectRelativeToArbitraryNode(boundariesNode, offsetParent, fixedPosition);\n\n    // In case of HTML, we need a different computation\n    if (boundariesNode.nodeName === 'HTML' && !isFixed(offsetParent)) {\n      var _getWindowSizes = getWindowSizes(popper.ownerDocument),\n          height = _getWindowSizes.height,\n          width = _getWindowSizes.width;\n\n      boundaries.top += offsets.top - offsets.marginTop;\n      boundaries.bottom = height + offsets.top;\n      boundaries.left += offsets.left - offsets.marginLeft;\n      boundaries.right = width + offsets.left;\n    } else {\n      // for all the other DOM elements, this one is good\n      boundaries = offsets;\n    }\n  }\n\n  // Add paddings\n  padding = padding || 0;\n  var isPaddingNumber = typeof padding === 'number';\n  boundaries.left += isPaddingNumber ? padding : padding.left || 0;\n  boundaries.top += isPaddingNumber ? padding : padding.top || 0;\n  boundaries.right -= isPaddingNumber ? padding : padding.right || 0;\n  boundaries.bottom -= isPaddingNumber ? padding : padding.bottom || 0;\n\n  return boundaries;\n}\n\nfunction getArea(_ref) {\n  var width = _ref.width,\n      height = _ref.height;\n\n  return width * height;\n}\n\n/**\n * Utility used to transform the `auto` placement to the placement with more\n * available space.\n * @method\n * @memberof Popper.Utils\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction computeAutoPlacement(placement, refRect, popper, reference, boundariesElement) {\n  var padding = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : 0;\n\n  if (placement.indexOf('auto') === -1) {\n    return placement;\n  }\n\n  var boundaries = getBoundaries(popper, reference, padding, boundariesElement);\n\n  var rects = {\n    top: {\n      width: boundaries.width,\n      height: refRect.top - boundaries.top\n    },\n    right: {\n      width: boundaries.right - refRect.right,\n      height: boundaries.height\n    },\n    bottom: {\n      width: boundaries.width,\n      height: boundaries.bottom - refRect.bottom\n    },\n    left: {\n      width: refRect.left - boundaries.left,\n      height: boundaries.height\n    }\n  };\n\n  var sortedAreas = Object.keys(rects).map(function (key) {\n    return _extends({\n      key: key\n    }, rects[key], {\n      area: getArea(rects[key])\n    });\n  }).sort(function (a, b) {\n    return b.area - a.area;\n  });\n\n  var filteredAreas = sortedAreas.filter(function (_ref2) {\n    var width = _ref2.width,\n        height = _ref2.height;\n    return width >= popper.clientWidth && height >= popper.clientHeight;\n  });\n\n  var computedPlacement = filteredAreas.length > 0 ? filteredAreas[0].key : sortedAreas[0].key;\n\n  var variation = placement.split('-')[1];\n\n  return computedPlacement + (variation ? '-' + variation : '');\n}\n\n/**\n * Get offsets to the reference element\n * @method\n * @memberof Popper.Utils\n * @param {Object} state\n * @param {Element} popper - the popper element\n * @param {Element} reference - the reference element (the popper will be relative to this)\n * @param {Element} fixedPosition - is in fixed position mode\n * @returns {Object} An object containing the offsets which will be applied to the popper\n */\nfunction getReferenceOffsets(state, popper, reference) {\n  var fixedPosition = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : null;\n\n  var commonOffsetParent = fixedPosition ? getFixedPositionOffsetParent(popper) : findCommonOffsetParent(popper, getReferenceNode(reference));\n  return getOffsetRectRelativeToArbitraryNode(reference, commonOffsetParent, fixedPosition);\n}\n\n/**\n * Get the outer sizes of the given element (offset size + margins)\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element\n * @returns {Object} object containing width and height properties\n */\nfunction getOuterSizes(element) {\n  var window = element.ownerDocument.defaultView;\n  var styles = window.getComputedStyle(element);\n  var x = parseFloat(styles.marginTop || 0) + parseFloat(styles.marginBottom || 0);\n  var y = parseFloat(styles.marginLeft || 0) + parseFloat(styles.marginRight || 0);\n  var result = {\n    width: element.offsetWidth + y,\n    height: element.offsetHeight + x\n  };\n  return result;\n}\n\n/**\n * Get the opposite placement of the given one\n * @method\n * @memberof Popper.Utils\n * @argument {String} placement\n * @returns {String} flipped placement\n */\nfunction getOppositePlacement(placement) {\n  var hash = { left: 'right', right: 'left', bottom: 'top', top: 'bottom' };\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}\n\n/**\n * Get offsets to the popper\n * @method\n * @memberof Popper.Utils\n * @param {Object} position - CSS position the Popper will get applied\n * @param {HTMLElement} popper - the popper element\n * @param {Object} referenceOffsets - the reference offsets (the popper will be relative to this)\n * @param {String} placement - one of the valid placement options\n * @returns {Object} popperOffsets - An object containing the offsets which will be applied to the popper\n */\nfunction getPopperOffsets(popper, referenceOffsets, placement) {\n  placement = placement.split('-')[0];\n\n  // Get popper node sizes\n  var popperRect = getOuterSizes(popper);\n\n  // Add position, width and height to our offsets object\n  var popperOffsets = {\n    width: popperRect.width,\n    height: popperRect.height\n  };\n\n  // depending by the popper placement we have to compute its offsets slightly differently\n  var isHoriz = ['right', 'left'].indexOf(placement) !== -1;\n  var mainSide = isHoriz ? 'top' : 'left';\n  var secondarySide = isHoriz ? 'left' : 'top';\n  var measurement = isHoriz ? 'height' : 'width';\n  var secondaryMeasurement = !isHoriz ? 'height' : 'width';\n\n  popperOffsets[mainSide] = referenceOffsets[mainSide] + referenceOffsets[measurement] / 2 - popperRect[measurement] / 2;\n  if (placement === secondarySide) {\n    popperOffsets[secondarySide] = referenceOffsets[secondarySide] - popperRect[secondaryMeasurement];\n  } else {\n    popperOffsets[secondarySide] = referenceOffsets[getOppositePlacement(secondarySide)];\n  }\n\n  return popperOffsets;\n}\n\n/**\n * Mimics the `find` method of Array\n * @method\n * @memberof Popper.Utils\n * @argument {Array} arr\n * @argument prop\n * @argument value\n * @returns index or -1\n */\nfunction find(arr, check) {\n  // use native find if supported\n  if (Array.prototype.find) {\n    return arr.find(check);\n  }\n\n  // use `filter` to obtain the same behavior of `find`\n  return arr.filter(check)[0];\n}\n\n/**\n * Return the index of the matching object\n * @method\n * @memberof Popper.Utils\n * @argument {Array} arr\n * @argument prop\n * @argument value\n * @returns index or -1\n */\nfunction findIndex(arr, prop, value) {\n  // use native findIndex if supported\n  if (Array.prototype.findIndex) {\n    return arr.findIndex(function (cur) {\n      return cur[prop] === value;\n    });\n  }\n\n  // use `find` + `indexOf` if `findIndex` isn't supported\n  var match = find(arr, function (obj) {\n    return obj[prop] === value;\n  });\n  return arr.indexOf(match);\n}\n\n/**\n * Loop trough the list of modifiers and run them in order,\n * each of them will then edit the data object.\n * @method\n * @memberof Popper.Utils\n * @param {dataObject} data\n * @param {Array} modifiers\n * @param {String} ends - Optional modifier name used as stopper\n * @returns {dataObject}\n */\nfunction runModifiers(modifiers, data, ends) {\n  var modifiersToRun = ends === undefined ? modifiers : modifiers.slice(0, findIndex(modifiers, 'name', ends));\n\n  modifiersToRun.forEach(function (modifier) {\n    if (modifier['function']) {\n      // eslint-disable-line dot-notation\n      console.warn('`modifier.function` is deprecated, use `modifier.fn`!');\n    }\n    var fn = modifier['function'] || modifier.fn; // eslint-disable-line dot-notation\n    if (modifier.enabled && isFunction(fn)) {\n      // Add properties to offsets to make them a complete clientRect object\n      // we do this before each modifier to make sure the previous one doesn't\n      // mess with these values\n      data.offsets.popper = getClientRect(data.offsets.popper);\n      data.offsets.reference = getClientRect(data.offsets.reference);\n\n      data = fn(data, modifier);\n    }\n  });\n\n  return data;\n}\n\n/**\n * Updates the position of the popper, computing the new offsets and applying\n * the new style.<br />\n * Prefer `scheduleUpdate` over `update` because of performance reasons.\n * @method\n * @memberof Popper\n */\nfunction update() {\n  // if popper is destroyed, don't perform any further update\n  if (this.state.isDestroyed) {\n    return;\n  }\n\n  var data = {\n    instance: this,\n    styles: {},\n    arrowStyles: {},\n    attributes: {},\n    flipped: false,\n    offsets: {}\n  };\n\n  // compute reference element offsets\n  data.offsets.reference = getReferenceOffsets(this.state, this.popper, this.reference, this.options.positionFixed);\n\n  // compute auto placement, store placement inside the data object,\n  // modifiers will be able to edit `placement` if needed\n  // and refer to originalPlacement to know the original value\n  data.placement = computeAutoPlacement(this.options.placement, data.offsets.reference, this.popper, this.reference, this.options.modifiers.flip.boundariesElement, this.options.modifiers.flip.padding);\n\n  // store the computed placement inside `originalPlacement`\n  data.originalPlacement = data.placement;\n\n  data.positionFixed = this.options.positionFixed;\n\n  // compute the popper offsets\n  data.offsets.popper = getPopperOffsets(this.popper, data.offsets.reference, data.placement);\n\n  data.offsets.popper.position = this.options.positionFixed ? 'fixed' : 'absolute';\n\n  // run the modifiers\n  data = runModifiers(this.modifiers, data);\n\n  // the first `update` will call `onCreate` callback\n  // the other ones will call `onUpdate` callback\n  if (!this.state.isCreated) {\n    this.state.isCreated = true;\n    this.options.onCreate(data);\n  } else {\n    this.options.onUpdate(data);\n  }\n}\n\n/**\n * Helper used to know if the given modifier is enabled.\n * @method\n * @memberof Popper.Utils\n * @returns {Boolean}\n */\nfunction isModifierEnabled(modifiers, modifierName) {\n  return modifiers.some(function (_ref) {\n    var name = _ref.name,\n        enabled = _ref.enabled;\n    return enabled && name === modifierName;\n  });\n}\n\n/**\n * Get the prefixed supported property name\n * @method\n * @memberof Popper.Utils\n * @argument {String} property (camelCase)\n * @returns {String} prefixed property (camelCase or PascalCase, depending on the vendor prefix)\n */\nfunction getSupportedPropertyName(property) {\n  var prefixes = [false, 'ms', 'Webkit', 'Moz', 'O'];\n  var upperProp = property.charAt(0).toUpperCase() + property.slice(1);\n\n  for (var i = 0; i < prefixes.length; i++) {\n    var prefix = prefixes[i];\n    var toCheck = prefix ? '' + prefix + upperProp : property;\n    if (typeof document.body.style[toCheck] !== 'undefined') {\n      return toCheck;\n    }\n  }\n  return null;\n}\n\n/**\n * Destroys the popper.\n * @method\n * @memberof Popper\n */\nfunction destroy() {\n  this.state.isDestroyed = true;\n\n  // touch DOM only if `applyStyle` modifier is enabled\n  if (isModifierEnabled(this.modifiers, 'applyStyle')) {\n    this.popper.removeAttribute('x-placement');\n    this.popper.style.position = '';\n    this.popper.style.top = '';\n    this.popper.style.left = '';\n    this.popper.style.right = '';\n    this.popper.style.bottom = '';\n    this.popper.style.willChange = '';\n    this.popper.style[getSupportedPropertyName('transform')] = '';\n  }\n\n  this.disableEventListeners();\n\n  // remove the popper if user explicitly asked for the deletion on destroy\n  // do not use `remove` because IE11 doesn't support it\n  if (this.options.removeOnDestroy) {\n    this.popper.parentNode.removeChild(this.popper);\n  }\n  return this;\n}\n\n/**\n * Get the window associated with the element\n * @argument {Element} element\n * @returns {Window}\n */\nfunction getWindow(element) {\n  var ownerDocument = element.ownerDocument;\n  return ownerDocument ? ownerDocument.defaultView : window;\n}\n\nfunction attachToScrollParents(scrollParent, event, callback, scrollParents) {\n  var isBody = scrollParent.nodeName === 'BODY';\n  var target = isBody ? scrollParent.ownerDocument.defaultView : scrollParent;\n  target.addEventListener(event, callback, { passive: true });\n\n  if (!isBody) {\n    attachToScrollParents(getScrollParent(target.parentNode), event, callback, scrollParents);\n  }\n  scrollParents.push(target);\n}\n\n/**\n * Setup needed event listeners used to update the popper position\n * @method\n * @memberof Popper.Utils\n * @private\n */\nfunction setupEventListeners(reference, options, state, updateBound) {\n  // Resize event listener on window\n  state.updateBound = updateBound;\n  getWindow(reference).addEventListener('resize', state.updateBound, { passive: true });\n\n  // Scroll event listener on scroll parents\n  var scrollElement = getScrollParent(reference);\n  attachToScrollParents(scrollElement, 'scroll', state.updateBound, state.scrollParents);\n  state.scrollElement = scrollElement;\n  state.eventsEnabled = true;\n\n  return state;\n}\n\n/**\n * It will add resize/scroll events and start recalculating\n * position of the popper element when they are triggered.\n * @method\n * @memberof Popper\n */\nfunction enableEventListeners() {\n  if (!this.state.eventsEnabled) {\n    this.state = setupEventListeners(this.reference, this.options, this.state, this.scheduleUpdate);\n  }\n}\n\n/**\n * Remove event listeners used to update the popper position\n * @method\n * @memberof Popper.Utils\n * @private\n */\nfunction removeEventListeners(reference, state) {\n  // Remove resize event listener on window\n  getWindow(reference).removeEventListener('resize', state.updateBound);\n\n  // Remove scroll event listener on scroll parents\n  state.scrollParents.forEach(function (target) {\n    target.removeEventListener('scroll', state.updateBound);\n  });\n\n  // Reset state\n  state.updateBound = null;\n  state.scrollParents = [];\n  state.scrollElement = null;\n  state.eventsEnabled = false;\n  return state;\n}\n\n/**\n * It will remove resize/scroll events and won't recalculate popper position\n * when they are triggered. It also won't trigger `onUpdate` callback anymore,\n * unless you call `update` method manually.\n * @method\n * @memberof Popper\n */\nfunction disableEventListeners() {\n  if (this.state.eventsEnabled) {\n    cancelAnimationFrame(this.scheduleUpdate);\n    this.state = removeEventListeners(this.reference, this.state);\n  }\n}\n\n/**\n * Tells if a given input is a number\n * @method\n * @memberof Popper.Utils\n * @param {*} input to check\n * @return {Boolean}\n */\nfunction isNumeric(n) {\n  return n !== '' && !isNaN(parseFloat(n)) && isFinite(n);\n}\n\n/**\n * Set the style to the given popper\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element - Element to apply the style to\n * @argument {Object} styles\n * Object with a list of properties and values which will be applied to the element\n */\nfunction setStyles(element, styles) {\n  Object.keys(styles).forEach(function (prop) {\n    var unit = '';\n    // add unit if the value is numeric and is one of the following\n    if (['width', 'height', 'top', 'right', 'bottom', 'left'].indexOf(prop) !== -1 && isNumeric(styles[prop])) {\n      unit = 'px';\n    }\n    element.style[prop] = styles[prop] + unit;\n  });\n}\n\n/**\n * Set the attributes to the given popper\n * @method\n * @memberof Popper.Utils\n * @argument {Element} element - Element to apply the attributes to\n * @argument {Object} styles\n * Object with a list of properties and values which will be applied to the element\n */\nfunction setAttributes(element, attributes) {\n  Object.keys(attributes).forEach(function (prop) {\n    var value = attributes[prop];\n    if (value !== false) {\n      element.setAttribute(prop, attributes[prop]);\n    } else {\n      element.removeAttribute(prop);\n    }\n  });\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Object} data.styles - List of style properties - values to apply to popper element\n * @argument {Object} data.attributes - List of attribute properties - values to apply to popper element\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The same data object\n */\nfunction applyStyle(data) {\n  // any property present in `data.styles` will be applied to the popper,\n  // in this way we can make the 3rd party modifiers add custom styles to it\n  // Be aware, modifiers could override the properties defined in the previous\n  // lines of this modifier!\n  setStyles(data.instance.popper, data.styles);\n\n  // any property present in `data.attributes` will be applied to the popper,\n  // they will be set as HTML attributes of the element\n  setAttributes(data.instance.popper, data.attributes);\n\n  // if arrowElement is defined and arrowStyles has some properties\n  if (data.arrowElement && Object.keys(data.arrowStyles).length) {\n    setStyles(data.arrowElement, data.arrowStyles);\n  }\n\n  return data;\n}\n\n/**\n * Set the x-placement attribute before everything else because it could be used\n * to add margins to the popper margins needs to be calculated to get the\n * correct popper offsets.\n * @method\n * @memberof Popper.modifiers\n * @param {HTMLElement} reference - The reference element used to position the popper\n * @param {HTMLElement} popper - The HTML element used as popper\n * @param {Object} options - Popper.js options\n */\nfunction applyStyleOnLoad(reference, popper, options, modifierOptions, state) {\n  // compute reference element offsets\n  var referenceOffsets = getReferenceOffsets(state, popper, reference, options.positionFixed);\n\n  // compute auto placement, store placement inside the data object,\n  // modifiers will be able to edit `placement` if needed\n  // and refer to originalPlacement to know the original value\n  var placement = computeAutoPlacement(options.placement, referenceOffsets, popper, reference, options.modifiers.flip.boundariesElement, options.modifiers.flip.padding);\n\n  popper.setAttribute('x-placement', placement);\n\n  // Apply `position` to popper before anything else because\n  // without the position applied we can't guarantee correct computations\n  setStyles(popper, { position: options.positionFixed ? 'fixed' : 'absolute' });\n\n  return options;\n}\n\n/**\n * @function\n * @memberof Popper.Utils\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Boolean} shouldRound - If the offsets should be rounded at all\n * @returns {Object} The popper's position offsets rounded\n *\n * The tale of pixel-perfect positioning. It's still not 100% perfect, but as\n * good as it can be within reason.\n * Discussion here: https://github.com/FezVrasta/popper.js/pull/715\n *\n * Low DPI screens cause a popper to be blurry if not using full pixels (Safari\n * as well on High DPI screens).\n *\n * Firefox prefers no rounding for positioning and does not have blurriness on\n * high DPI screens.\n *\n * Only horizontal placement and left/right values need to be considered.\n */\nfunction getRoundedOffsets(data, shouldRound) {\n  var _data$offsets = data.offsets,\n      popper = _data$offsets.popper,\n      reference = _data$offsets.reference;\n  var round = Math.round,\n      floor = Math.floor;\n\n  var noRound = function noRound(v) {\n    return v;\n  };\n\n  var referenceWidth = round(reference.width);\n  var popperWidth = round(popper.width);\n\n  var isVertical = ['left', 'right'].indexOf(data.placement) !== -1;\n  var isVariation = data.placement.indexOf('-') !== -1;\n  var sameWidthParity = referenceWidth % 2 === popperWidth % 2;\n  var bothOddWidth = referenceWidth % 2 === 1 && popperWidth % 2 === 1;\n\n  var horizontalToInteger = !shouldRound ? noRound : isVertical || isVariation || sameWidthParity ? round : floor;\n  var verticalToInteger = !shouldRound ? noRound : round;\n\n  return {\n    left: horizontalToInteger(bothOddWidth && !isVariation && shouldRound ? popper.left - 1 : popper.left),\n    top: verticalToInteger(popper.top),\n    bottom: verticalToInteger(popper.bottom),\n    right: horizontalToInteger(popper.right)\n  };\n}\n\nvar isFirefox = isBrowser && /Firefox/i.test(navigator.userAgent);\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction computeStyle(data, options) {\n  var x = options.x,\n      y = options.y;\n  var popper = data.offsets.popper;\n\n  // Remove this legacy support in Popper.js v2\n\n  var legacyGpuAccelerationOption = find(data.instance.modifiers, function (modifier) {\n    return modifier.name === 'applyStyle';\n  }).gpuAcceleration;\n  if (legacyGpuAccelerationOption !== undefined) {\n    console.warn('WARNING: `gpuAcceleration` option moved to `computeStyle` modifier and will not be supported in future versions of Popper.js!');\n  }\n  var gpuAcceleration = legacyGpuAccelerationOption !== undefined ? legacyGpuAccelerationOption : options.gpuAcceleration;\n\n  var offsetParent = getOffsetParent(data.instance.popper);\n  var offsetParentRect = getBoundingClientRect(offsetParent);\n\n  // Styles\n  var styles = {\n    position: popper.position\n  };\n\n  var offsets = getRoundedOffsets(data, window.devicePixelRatio < 2 || !isFirefox);\n\n  var sideA = x === 'bottom' ? 'top' : 'bottom';\n  var sideB = y === 'right' ? 'left' : 'right';\n\n  // if gpuAcceleration is set to `true` and transform is supported,\n  //  we use `translate3d` to apply the position to the popper we\n  // automatically use the supported prefixed version if needed\n  var prefixedProperty = getSupportedPropertyName('transform');\n\n  // now, let's make a step back and look at this code closely (wtf?)\n  // If the content of the popper grows once it's been positioned, it\n  // may happen that the popper gets misplaced because of the new content\n  // overflowing its reference element\n  // To avoid this problem, we provide two options (x and y), which allow\n  // the consumer to define the offset origin.\n  // If we position a popper on top of a reference element, we can set\n  // `x` to `top` to make the popper grow towards its top instead of\n  // its bottom.\n  var left = void 0,\n      top = void 0;\n  if (sideA === 'bottom') {\n    // when offsetParent is <html> the positioning is relative to the bottom of the screen (excluding the scrollbar)\n    // and not the bottom of the html element\n    if (offsetParent.nodeName === 'HTML') {\n      top = -offsetParent.clientHeight + offsets.bottom;\n    } else {\n      top = -offsetParentRect.height + offsets.bottom;\n    }\n  } else {\n    top = offsets.top;\n  }\n  if (sideB === 'right') {\n    if (offsetParent.nodeName === 'HTML') {\n      left = -offsetParent.clientWidth + offsets.right;\n    } else {\n      left = -offsetParentRect.width + offsets.right;\n    }\n  } else {\n    left = offsets.left;\n  }\n  if (gpuAcceleration && prefixedProperty) {\n    styles[prefixedProperty] = 'translate3d(' + left + 'px, ' + top + 'px, 0)';\n    styles[sideA] = 0;\n    styles[sideB] = 0;\n    styles.willChange = 'transform';\n  } else {\n    // othwerise, we use the standard `top`, `left`, `bottom` and `right` properties\n    var invertTop = sideA === 'bottom' ? -1 : 1;\n    var invertLeft = sideB === 'right' ? -1 : 1;\n    styles[sideA] = top * invertTop;\n    styles[sideB] = left * invertLeft;\n    styles.willChange = sideA + ', ' + sideB;\n  }\n\n  // Attributes\n  var attributes = {\n    'x-placement': data.placement\n  };\n\n  // Update `data` attributes, styles and arrowStyles\n  data.attributes = _extends({}, attributes, data.attributes);\n  data.styles = _extends({}, styles, data.styles);\n  data.arrowStyles = _extends({}, data.offsets.arrow, data.arrowStyles);\n\n  return data;\n}\n\n/**\n * Helper used to know if the given modifier depends from another one.<br />\n * It checks if the needed modifier is listed and enabled.\n * @method\n * @memberof Popper.Utils\n * @param {Array} modifiers - list of modifiers\n * @param {String} requestingName - name of requesting modifier\n * @param {String} requestedName - name of requested modifier\n * @returns {Boolean}\n */\nfunction isModifierRequired(modifiers, requestingName, requestedName) {\n  var requesting = find(modifiers, function (_ref) {\n    var name = _ref.name;\n    return name === requestingName;\n  });\n\n  var isRequired = !!requesting && modifiers.some(function (modifier) {\n    return modifier.name === requestedName && modifier.enabled && modifier.order < requesting.order;\n  });\n\n  if (!isRequired) {\n    var _requesting = '`' + requestingName + '`';\n    var requested = '`' + requestedName + '`';\n    console.warn(requested + ' modifier is required by ' + _requesting + ' modifier in order to work, be sure to include it before ' + _requesting + '!');\n  }\n  return isRequired;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction arrow(data, options) {\n  var _data$offsets$arrow;\n\n  // arrow depends on keepTogether in order to work\n  if (!isModifierRequired(data.instance.modifiers, 'arrow', 'keepTogether')) {\n    return data;\n  }\n\n  var arrowElement = options.element;\n\n  // if arrowElement is a string, suppose it's a CSS selector\n  if (typeof arrowElement === 'string') {\n    arrowElement = data.instance.popper.querySelector(arrowElement);\n\n    // if arrowElement is not found, don't run the modifier\n    if (!arrowElement) {\n      return data;\n    }\n  } else {\n    // if the arrowElement isn't a query selector we must check that the\n    // provided DOM node is child of its popper node\n    if (!data.instance.popper.contains(arrowElement)) {\n      console.warn('WARNING: `arrow.element` must be child of its popper element!');\n      return data;\n    }\n  }\n\n  var placement = data.placement.split('-')[0];\n  var _data$offsets = data.offsets,\n      popper = _data$offsets.popper,\n      reference = _data$offsets.reference;\n\n  var isVertical = ['left', 'right'].indexOf(placement) !== -1;\n\n  var len = isVertical ? 'height' : 'width';\n  var sideCapitalized = isVertical ? 'Top' : 'Left';\n  var side = sideCapitalized.toLowerCase();\n  var altSide = isVertical ? 'left' : 'top';\n  var opSide = isVertical ? 'bottom' : 'right';\n  var arrowElementSize = getOuterSizes(arrowElement)[len];\n\n  //\n  // extends keepTogether behavior making sure the popper and its\n  // reference have enough pixels in conjunction\n  //\n\n  // top/left side\n  if (reference[opSide] - arrowElementSize < popper[side]) {\n    data.offsets.popper[side] -= popper[side] - (reference[opSide] - arrowElementSize);\n  }\n  // bottom/right side\n  if (reference[side] + arrowElementSize > popper[opSide]) {\n    data.offsets.popper[side] += reference[side] + arrowElementSize - popper[opSide];\n  }\n  data.offsets.popper = getClientRect(data.offsets.popper);\n\n  // compute center of the popper\n  var center = reference[side] + reference[len] / 2 - arrowElementSize / 2;\n\n  // Compute the sideValue using the updated popper offsets\n  // take popper margin in account because we don't have this info available\n  var css = getStyleComputedProperty(data.instance.popper);\n  var popperMarginSide = parseFloat(css['margin' + sideCapitalized], 10);\n  var popperBorderSide = parseFloat(css['border' + sideCapitalized + 'Width'], 10);\n  var sideValue = center - data.offsets.popper[side] - popperMarginSide - popperBorderSide;\n\n  // prevent arrowElement from being placed not contiguously to its popper\n  sideValue = Math.max(Math.min(popper[len] - arrowElementSize, sideValue), 0);\n\n  data.arrowElement = arrowElement;\n  data.offsets.arrow = (_data$offsets$arrow = {}, defineProperty(_data$offsets$arrow, side, Math.round(sideValue)), defineProperty(_data$offsets$arrow, altSide, ''), _data$offsets$arrow);\n\n  return data;\n}\n\n/**\n * Get the opposite placement variation of the given one\n * @method\n * @memberof Popper.Utils\n * @argument {String} placement variation\n * @returns {String} flipped placement variation\n */\nfunction getOppositeVariation(variation) {\n  if (variation === 'end') {\n    return 'start';\n  } else if (variation === 'start') {\n    return 'end';\n  }\n  return variation;\n}\n\n/**\n * List of accepted placements to use as values of the `placement` option.<br />\n * Valid placements are:\n * - `auto`\n * - `top`\n * - `right`\n * - `bottom`\n * - `left`\n *\n * Each placement can have a variation from this list:\n * - `-start`\n * - `-end`\n *\n * Variations are interpreted easily if you think of them as the left to right\n * written languages. Horizontally (`top` and `bottom`), `start` is left and `end`\n * is right.<br />\n * Vertically (`left` and `right`), `start` is top and `end` is bottom.\n *\n * Some valid examples are:\n * - `top-end` (on top of reference, right aligned)\n * - `right-start` (on right of reference, top aligned)\n * - `bottom` (on bottom, centered)\n * - `auto-end` (on the side with more space available, alignment depends by placement)\n *\n * @static\n * @type {Array}\n * @enum {String}\n * @readonly\n * @method placements\n * @memberof Popper\n */\nvar placements = ['auto-start', 'auto', 'auto-end', 'top-start', 'top', 'top-end', 'right-start', 'right', 'right-end', 'bottom-end', 'bottom', 'bottom-start', 'left-end', 'left', 'left-start'];\n\n// Get rid of `auto` `auto-start` and `auto-end`\nvar validPlacements = placements.slice(3);\n\n/**\n * Given an initial placement, returns all the subsequent placements\n * clockwise (or counter-clockwise).\n *\n * @method\n * @memberof Popper.Utils\n * @argument {String} placement - A valid placement (it accepts variations)\n * @argument {Boolean} counter - Set to true to walk the placements counterclockwise\n * @returns {Array} placements including their variations\n */\nfunction clockwise(placement) {\n  var counter = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n\n  var index = validPlacements.indexOf(placement);\n  var arr = validPlacements.slice(index + 1).concat(validPlacements.slice(0, index));\n  return counter ? arr.reverse() : arr;\n}\n\nvar BEHAVIORS = {\n  FLIP: 'flip',\n  CLOCKWISE: 'clockwise',\n  COUNTERCLOCKWISE: 'counterclockwise'\n};\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction flip(data, options) {\n  // if `inner` modifier is enabled, we can't use the `flip` modifier\n  if (isModifierEnabled(data.instance.modifiers, 'inner')) {\n    return data;\n  }\n\n  if (data.flipped && data.placement === data.originalPlacement) {\n    // seems like flip is trying to loop, probably there's not enough space on any of the flippable sides\n    return data;\n  }\n\n  var boundaries = getBoundaries(data.instance.popper, data.instance.reference, options.padding, options.boundariesElement, data.positionFixed);\n\n  var placement = data.placement.split('-')[0];\n  var placementOpposite = getOppositePlacement(placement);\n  var variation = data.placement.split('-')[1] || '';\n\n  var flipOrder = [];\n\n  switch (options.behavior) {\n    case BEHAVIORS.FLIP:\n      flipOrder = [placement, placementOpposite];\n      break;\n    case BEHAVIORS.CLOCKWISE:\n      flipOrder = clockwise(placement);\n      break;\n    case BEHAVIORS.COUNTERCLOCKWISE:\n      flipOrder = clockwise(placement, true);\n      break;\n    default:\n      flipOrder = options.behavior;\n  }\n\n  flipOrder.forEach(function (step, index) {\n    if (placement !== step || flipOrder.length === index + 1) {\n      return data;\n    }\n\n    placement = data.placement.split('-')[0];\n    placementOpposite = getOppositePlacement(placement);\n\n    var popperOffsets = data.offsets.popper;\n    var refOffsets = data.offsets.reference;\n\n    // using floor because the reference offsets may contain decimals we are not going to consider here\n    var floor = Math.floor;\n    var overlapsRef = placement === 'left' && floor(popperOffsets.right) > floor(refOffsets.left) || placement === 'right' && floor(popperOffsets.left) < floor(refOffsets.right) || placement === 'top' && floor(popperOffsets.bottom) > floor(refOffsets.top) || placement === 'bottom' && floor(popperOffsets.top) < floor(refOffsets.bottom);\n\n    var overflowsLeft = floor(popperOffsets.left) < floor(boundaries.left);\n    var overflowsRight = floor(popperOffsets.right) > floor(boundaries.right);\n    var overflowsTop = floor(popperOffsets.top) < floor(boundaries.top);\n    var overflowsBottom = floor(popperOffsets.bottom) > floor(boundaries.bottom);\n\n    var overflowsBoundaries = placement === 'left' && overflowsLeft || placement === 'right' && overflowsRight || placement === 'top' && overflowsTop || placement === 'bottom' && overflowsBottom;\n\n    // flip the variation if required\n    var isVertical = ['top', 'bottom'].indexOf(placement) !== -1;\n\n    // flips variation if reference element overflows boundaries\n    var flippedVariationByRef = !!options.flipVariations && (isVertical && variation === 'start' && overflowsLeft || isVertical && variation === 'end' && overflowsRight || !isVertical && variation === 'start' && overflowsTop || !isVertical && variation === 'end' && overflowsBottom);\n\n    // flips variation if popper content overflows boundaries\n    var flippedVariationByContent = !!options.flipVariationsByContent && (isVertical && variation === 'start' && overflowsRight || isVertical && variation === 'end' && overflowsLeft || !isVertical && variation === 'start' && overflowsBottom || !isVertical && variation === 'end' && overflowsTop);\n\n    var flippedVariation = flippedVariationByRef || flippedVariationByContent;\n\n    if (overlapsRef || overflowsBoundaries || flippedVariation) {\n      // this boolean to detect any flip loop\n      data.flipped = true;\n\n      if (overlapsRef || overflowsBoundaries) {\n        placement = flipOrder[index + 1];\n      }\n\n      if (flippedVariation) {\n        variation = getOppositeVariation(variation);\n      }\n\n      data.placement = placement + (variation ? '-' + variation : '');\n\n      // this object contains `position`, we want to preserve it along with\n      // any additional property we may add in the future\n      data.offsets.popper = _extends({}, data.offsets.popper, getPopperOffsets(data.instance.popper, data.offsets.reference, data.placement));\n\n      data = runModifiers(data.instance.modifiers, data, 'flip');\n    }\n  });\n  return data;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction keepTogether(data) {\n  var _data$offsets = data.offsets,\n      popper = _data$offsets.popper,\n      reference = _data$offsets.reference;\n\n  var placement = data.placement.split('-')[0];\n  var floor = Math.floor;\n  var isVertical = ['top', 'bottom'].indexOf(placement) !== -1;\n  var side = isVertical ? 'right' : 'bottom';\n  var opSide = isVertical ? 'left' : 'top';\n  var measurement = isVertical ? 'width' : 'height';\n\n  if (popper[side] < floor(reference[opSide])) {\n    data.offsets.popper[opSide] = floor(reference[opSide]) - popper[measurement];\n  }\n  if (popper[opSide] > floor(reference[side])) {\n    data.offsets.popper[opSide] = floor(reference[side]);\n  }\n\n  return data;\n}\n\n/**\n * Converts a string containing value + unit into a px value number\n * @function\n * @memberof {modifiers~offset}\n * @private\n * @argument {String} str - Value + unit string\n * @argument {String} measurement - `height` or `width`\n * @argument {Object} popperOffsets\n * @argument {Object} referenceOffsets\n * @returns {Number|String}\n * Value in pixels, or original string if no values were extracted\n */\nfunction toValue(str, measurement, popperOffsets, referenceOffsets) {\n  // separate value from unit\n  var split = str.match(/((?:\\-|\\+)?\\d*\\.?\\d*)(.*)/);\n  var value = +split[1];\n  var unit = split[2];\n\n  // If it's not a number it's an operator, I guess\n  if (!value) {\n    return str;\n  }\n\n  if (unit.indexOf('%') === 0) {\n    var element = void 0;\n    switch (unit) {\n      case '%p':\n        element = popperOffsets;\n        break;\n      case '%':\n      case '%r':\n      default:\n        element = referenceOffsets;\n    }\n\n    var rect = getClientRect(element);\n    return rect[measurement] / 100 * value;\n  } else if (unit === 'vh' || unit === 'vw') {\n    // if is a vh or vw, we calculate the size based on the viewport\n    var size = void 0;\n    if (unit === 'vh') {\n      size = Math.max(document.documentElement.clientHeight, window.innerHeight || 0);\n    } else {\n      size = Math.max(document.documentElement.clientWidth, window.innerWidth || 0);\n    }\n    return size / 100 * value;\n  } else {\n    // if is an explicit pixel unit, we get rid of the unit and keep the value\n    // if is an implicit unit, it's px, and we return just the value\n    return value;\n  }\n}\n\n/**\n * Parse an `offset` string to extrapolate `x` and `y` numeric offsets.\n * @function\n * @memberof {modifiers~offset}\n * @private\n * @argument {String} offset\n * @argument {Object} popperOffsets\n * @argument {Object} referenceOffsets\n * @argument {String} basePlacement\n * @returns {Array} a two cells array with x and y offsets in numbers\n */\nfunction parseOffset(offset, popperOffsets, referenceOffsets, basePlacement) {\n  var offsets = [0, 0];\n\n  // Use height if placement is left or right and index is 0 otherwise use width\n  // in this way the first offset will use an axis and the second one\n  // will use the other one\n  var useHeight = ['right', 'left'].indexOf(basePlacement) !== -1;\n\n  // Split the offset string to obtain a list of values and operands\n  // The regex addresses values with the plus or minus sign in front (+10, -20, etc)\n  var fragments = offset.split(/(\\+|\\-)/).map(function (frag) {\n    return frag.trim();\n  });\n\n  // Detect if the offset string contains a pair of values or a single one\n  // they could be separated by comma or space\n  var divider = fragments.indexOf(find(fragments, function (frag) {\n    return frag.search(/,|\\s/) !== -1;\n  }));\n\n  if (fragments[divider] && fragments[divider].indexOf(',') === -1) {\n    console.warn('Offsets separated by white space(s) are deprecated, use a comma (,) instead.');\n  }\n\n  // If divider is found, we divide the list of values and operands to divide\n  // them by ofset X and Y.\n  var splitRegex = /\\s*,\\s*|\\s+/;\n  var ops = divider !== -1 ? [fragments.slice(0, divider).concat([fragments[divider].split(splitRegex)[0]]), [fragments[divider].split(splitRegex)[1]].concat(fragments.slice(divider + 1))] : [fragments];\n\n  // Convert the values with units to absolute pixels to allow our computations\n  ops = ops.map(function (op, index) {\n    // Most of the units rely on the orientation of the popper\n    var measurement = (index === 1 ? !useHeight : useHeight) ? 'height' : 'width';\n    var mergeWithPrevious = false;\n    return op\n    // This aggregates any `+` or `-` sign that aren't considered operators\n    // e.g.: 10 + +5 => [10, +, +5]\n    .reduce(function (a, b) {\n      if (a[a.length - 1] === '' && ['+', '-'].indexOf(b) !== -1) {\n        a[a.length - 1] = b;\n        mergeWithPrevious = true;\n        return a;\n      } else if (mergeWithPrevious) {\n        a[a.length - 1] += b;\n        mergeWithPrevious = false;\n        return a;\n      } else {\n        return a.concat(b);\n      }\n    }, [])\n    // Here we convert the string values into number values (in px)\n    .map(function (str) {\n      return toValue(str, measurement, popperOffsets, referenceOffsets);\n    });\n  });\n\n  // Loop trough the offsets arrays and execute the operations\n  ops.forEach(function (op, index) {\n    op.forEach(function (frag, index2) {\n      if (isNumeric(frag)) {\n        offsets[index] += frag * (op[index2 - 1] === '-' ? -1 : 1);\n      }\n    });\n  });\n  return offsets;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @argument {Number|String} options.offset=0\n * The offset value as described in the modifier description\n * @returns {Object} The data object, properly modified\n */\nfunction offset(data, _ref) {\n  var offset = _ref.offset;\n  var placement = data.placement,\n      _data$offsets = data.offsets,\n      popper = _data$offsets.popper,\n      reference = _data$offsets.reference;\n\n  var basePlacement = placement.split('-')[0];\n\n  var offsets = void 0;\n  if (isNumeric(+offset)) {\n    offsets = [+offset, 0];\n  } else {\n    offsets = parseOffset(offset, popper, reference, basePlacement);\n  }\n\n  if (basePlacement === 'left') {\n    popper.top += offsets[0];\n    popper.left -= offsets[1];\n  } else if (basePlacement === 'right') {\n    popper.top += offsets[0];\n    popper.left += offsets[1];\n  } else if (basePlacement === 'top') {\n    popper.left += offsets[0];\n    popper.top -= offsets[1];\n  } else if (basePlacement === 'bottom') {\n    popper.left += offsets[0];\n    popper.top += offsets[1];\n  }\n\n  data.popper = popper;\n  return data;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction preventOverflow(data, options) {\n  var boundariesElement = options.boundariesElement || getOffsetParent(data.instance.popper);\n\n  // If offsetParent is the reference element, we really want to\n  // go one step up and use the next offsetParent as reference to\n  // avoid to make this modifier completely useless and look like broken\n  if (data.instance.reference === boundariesElement) {\n    boundariesElement = getOffsetParent(boundariesElement);\n  }\n\n  // NOTE: DOM access here\n  // resets the popper's position so that the document size can be calculated excluding\n  // the size of the popper element itself\n  var transformProp = getSupportedPropertyName('transform');\n  var popperStyles = data.instance.popper.style; // assignment to help minification\n  var top = popperStyles.top,\n      left = popperStyles.left,\n      transform = popperStyles[transformProp];\n\n  popperStyles.top = '';\n  popperStyles.left = '';\n  popperStyles[transformProp] = '';\n\n  var boundaries = getBoundaries(data.instance.popper, data.instance.reference, options.padding, boundariesElement, data.positionFixed);\n\n  // NOTE: DOM access here\n  // restores the original style properties after the offsets have been computed\n  popperStyles.top = top;\n  popperStyles.left = left;\n  popperStyles[transformProp] = transform;\n\n  options.boundaries = boundaries;\n\n  var order = options.priority;\n  var popper = data.offsets.popper;\n\n  var check = {\n    primary: function primary(placement) {\n      var value = popper[placement];\n      if (popper[placement] < boundaries[placement] && !options.escapeWithReference) {\n        value = Math.max(popper[placement], boundaries[placement]);\n      }\n      return defineProperty({}, placement, value);\n    },\n    secondary: function secondary(placement) {\n      var mainSide = placement === 'right' ? 'left' : 'top';\n      var value = popper[mainSide];\n      if (popper[placement] > boundaries[placement] && !options.escapeWithReference) {\n        value = Math.min(popper[mainSide], boundaries[placement] - (placement === 'right' ? popper.width : popper.height));\n      }\n      return defineProperty({}, mainSide, value);\n    }\n  };\n\n  order.forEach(function (placement) {\n    var side = ['left', 'top'].indexOf(placement) !== -1 ? 'primary' : 'secondary';\n    popper = _extends({}, popper, check[side](placement));\n  });\n\n  data.offsets.popper = popper;\n\n  return data;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction shift(data) {\n  var placement = data.placement;\n  var basePlacement = placement.split('-')[0];\n  var shiftvariation = placement.split('-')[1];\n\n  // if shift shiftvariation is specified, run the modifier\n  if (shiftvariation) {\n    var _data$offsets = data.offsets,\n        reference = _data$offsets.reference,\n        popper = _data$offsets.popper;\n\n    var isVertical = ['bottom', 'top'].indexOf(basePlacement) !== -1;\n    var side = isVertical ? 'left' : 'top';\n    var measurement = isVertical ? 'width' : 'height';\n\n    var shiftOffsets = {\n      start: defineProperty({}, side, reference[side]),\n      end: defineProperty({}, side, reference[side] + reference[measurement] - popper[measurement])\n    };\n\n    data.offsets.popper = _extends({}, popper, shiftOffsets[shiftvariation]);\n  }\n\n  return data;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction hide(data) {\n  if (!isModifierRequired(data.instance.modifiers, 'hide', 'preventOverflow')) {\n    return data;\n  }\n\n  var refRect = data.offsets.reference;\n  var bound = find(data.instance.modifiers, function (modifier) {\n    return modifier.name === 'preventOverflow';\n  }).boundaries;\n\n  if (refRect.bottom < bound.top || refRect.left > bound.right || refRect.top > bound.bottom || refRect.right < bound.left) {\n    // Avoid unnecessary DOM access if visibility hasn't changed\n    if (data.hide === true) {\n      return data;\n    }\n\n    data.hide = true;\n    data.attributes['x-out-of-boundaries'] = '';\n  } else {\n    // Avoid unnecessary DOM access if visibility hasn't changed\n    if (data.hide === false) {\n      return data;\n    }\n\n    data.hide = false;\n    data.attributes['x-out-of-boundaries'] = false;\n  }\n\n  return data;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {Object} The data object, properly modified\n */\nfunction inner(data) {\n  var placement = data.placement;\n  var basePlacement = placement.split('-')[0];\n  var _data$offsets = data.offsets,\n      popper = _data$offsets.popper,\n      reference = _data$offsets.reference;\n\n  var isHoriz = ['left', 'right'].indexOf(basePlacement) !== -1;\n\n  var subtractLength = ['top', 'left'].indexOf(basePlacement) === -1;\n\n  popper[isHoriz ? 'left' : 'top'] = reference[basePlacement] - (subtractLength ? popper[isHoriz ? 'width' : 'height'] : 0);\n\n  data.placement = getOppositePlacement(placement);\n  data.offsets.popper = getClientRect(popper);\n\n  return data;\n}\n\n/**\n * Modifier function, each modifier can have a function of this type assigned\n * to its `fn` property.<br />\n * These functions will be called on each update, this means that you must\n * make sure they are performant enough to avoid performance bottlenecks.\n *\n * @function ModifierFn\n * @argument {dataObject} data - The data object generated by `update` method\n * @argument {Object} options - Modifiers configuration and options\n * @returns {dataObject} The data object, properly modified\n */\n\n/**\n * Modifiers are plugins used to alter the behavior of your poppers.<br />\n * Popper.js uses a set of 9 modifiers to provide all the basic functionalities\n * needed by the library.\n *\n * Usually you don't want to override the `order`, `fn` and `onLoad` props.\n * All the other properties are configurations that could be tweaked.\n * @namespace modifiers\n */\nvar modifiers = {\n  /**\n   * Modifier used to shift the popper on the start or end of its reference\n   * element.<br />\n   * It will read the variation of the `placement` property.<br />\n   * It can be one either `-end` or `-start`.\n   * @memberof modifiers\n   * @inner\n   */\n  shift: {\n    /** @prop {number} order=100 - Index used to define the order of execution */\n    order: 100,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: shift\n  },\n\n  /**\n   * The `offset` modifier can shift your popper on both its axis.\n   *\n   * It accepts the following units:\n   * - `px` or unit-less, interpreted as pixels\n   * - `%` or `%r`, percentage relative to the length of the reference element\n   * - `%p`, percentage relative to the length of the popper element\n   * - `vw`, CSS viewport width unit\n   * - `vh`, CSS viewport height unit\n   *\n   * For length is intended the main axis relative to the placement of the popper.<br />\n   * This means that if the placement is `top` or `bottom`, the length will be the\n   * `width`. In case of `left` or `right`, it will be the `height`.\n   *\n   * You can provide a single value (as `Number` or `String`), or a pair of values\n   * as `String` divided by a comma or one (or more) white spaces.<br />\n   * The latter is a deprecated method because it leads to confusion and will be\n   * removed in v2.<br />\n   * Additionally, it accepts additions and subtractions between different units.\n   * Note that multiplications and divisions aren't supported.\n   *\n   * Valid examples are:\n   * ```\n   * 10\n   * '10%'\n   * '10, 10'\n   * '10%, 10'\n   * '10 + 10%'\n   * '10 - 5vh + 3%'\n   * '-10px + 5vh, 5px - 6%'\n   * ```\n   * > **NB**: If you desire to apply offsets to your poppers in a way that may make them overlap\n   * > with their reference element, unfortunately, you will have to disable the `flip` modifier.\n   * > You can read more on this at this [issue](https://github.com/FezVrasta/popper.js/issues/373).\n   *\n   * @memberof modifiers\n   * @inner\n   */\n  offset: {\n    /** @prop {number} order=200 - Index used to define the order of execution */\n    order: 200,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: offset,\n    /** @prop {Number|String} offset=0\n     * The offset value as described in the modifier description\n     */\n    offset: 0\n  },\n\n  /**\n   * Modifier used to prevent the popper from being positioned outside the boundary.\n   *\n   * A scenario exists where the reference itself is not within the boundaries.<br />\n   * We can say it has \"escaped the boundaries\" — or just \"escaped\".<br />\n   * In this case we need to decide whether the popper should either:\n   *\n   * - detach from the reference and remain \"trapped\" in the boundaries, or\n   * - if it should ignore the boundary and \"escape with its reference\"\n   *\n   * When `escapeWithReference` is set to`true` and reference is completely\n   * outside its boundaries, the popper will overflow (or completely leave)\n   * the boundaries in order to remain attached to the edge of the reference.\n   *\n   * @memberof modifiers\n   * @inner\n   */\n  preventOverflow: {\n    /** @prop {number} order=300 - Index used to define the order of execution */\n    order: 300,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: preventOverflow,\n    /**\n     * @prop {Array} [priority=['left','right','top','bottom']]\n     * Popper will try to prevent overflow following these priorities by default,\n     * then, it could overflow on the left and on top of the `boundariesElement`\n     */\n    priority: ['left', 'right', 'top', 'bottom'],\n    /**\n     * @prop {number} padding=5\n     * Amount of pixel used to define a minimum distance between the boundaries\n     * and the popper. This makes sure the popper always has a little padding\n     * between the edges of its container\n     */\n    padding: 5,\n    /**\n     * @prop {String|HTMLElement} boundariesElement='scrollParent'\n     * Boundaries used by the modifier. Can be `scrollParent`, `window`,\n     * `viewport` or any DOM element.\n     */\n    boundariesElement: 'scrollParent'\n  },\n\n  /**\n   * Modifier used to make sure the reference and its popper stay near each other\n   * without leaving any gap between the two. Especially useful when the arrow is\n   * enabled and you want to ensure that it points to its reference element.\n   * It cares only about the first axis. You can still have poppers with margin\n   * between the popper and its reference element.\n   * @memberof modifiers\n   * @inner\n   */\n  keepTogether: {\n    /** @prop {number} order=400 - Index used to define the order of execution */\n    order: 400,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: keepTogether\n  },\n\n  /**\n   * This modifier is used to move the `arrowElement` of the popper to make\n   * sure it is positioned between the reference element and its popper element.\n   * It will read the outer size of the `arrowElement` node to detect how many\n   * pixels of conjunction are needed.\n   *\n   * It has no effect if no `arrowElement` is provided.\n   * @memberof modifiers\n   * @inner\n   */\n  arrow: {\n    /** @prop {number} order=500 - Index used to define the order of execution */\n    order: 500,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: arrow,\n    /** @prop {String|HTMLElement} element='[x-arrow]' - Selector or node used as arrow */\n    element: '[x-arrow]'\n  },\n\n  /**\n   * Modifier used to flip the popper's placement when it starts to overlap its\n   * reference element.\n   *\n   * Requires the `preventOverflow` modifier before it in order to work.\n   *\n   * **NOTE:** this modifier will interrupt the current update cycle and will\n   * restart it if it detects the need to flip the placement.\n   * @memberof modifiers\n   * @inner\n   */\n  flip: {\n    /** @prop {number} order=600 - Index used to define the order of execution */\n    order: 600,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: flip,\n    /**\n     * @prop {String|Array} behavior='flip'\n     * The behavior used to change the popper's placement. It can be one of\n     * `flip`, `clockwise`, `counterclockwise` or an array with a list of valid\n     * placements (with optional variations)\n     */\n    behavior: 'flip',\n    /**\n     * @prop {number} padding=5\n     * The popper will flip if it hits the edges of the `boundariesElement`\n     */\n    padding: 5,\n    /**\n     * @prop {String|HTMLElement} boundariesElement='viewport'\n     * The element which will define the boundaries of the popper position.\n     * The popper will never be placed outside of the defined boundaries\n     * (except if `keepTogether` is enabled)\n     */\n    boundariesElement: 'viewport',\n    /**\n     * @prop {Boolean} flipVariations=false\n     * The popper will switch placement variation between `-start` and `-end` when\n     * the reference element overlaps its boundaries.\n     *\n     * The original placement should have a set variation.\n     */\n    flipVariations: false,\n    /**\n     * @prop {Boolean} flipVariationsByContent=false\n     * The popper will switch placement variation between `-start` and `-end` when\n     * the popper element overlaps its reference boundaries.\n     *\n     * The original placement should have a set variation.\n     */\n    flipVariationsByContent: false\n  },\n\n  /**\n   * Modifier used to make the popper flow toward the inner of the reference element.\n   * By default, when this modifier is disabled, the popper will be placed outside\n   * the reference element.\n   * @memberof modifiers\n   * @inner\n   */\n  inner: {\n    /** @prop {number} order=700 - Index used to define the order of execution */\n    order: 700,\n    /** @prop {Boolean} enabled=false - Whether the modifier is enabled or not */\n    enabled: false,\n    /** @prop {ModifierFn} */\n    fn: inner\n  },\n\n  /**\n   * Modifier used to hide the popper when its reference element is outside of the\n   * popper boundaries. It will set a `x-out-of-boundaries` attribute which can\n   * be used to hide with a CSS selector the popper when its reference is\n   * out of boundaries.\n   *\n   * Requires the `preventOverflow` modifier before it in order to work.\n   * @memberof modifiers\n   * @inner\n   */\n  hide: {\n    /** @prop {number} order=800 - Index used to define the order of execution */\n    order: 800,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: hide\n  },\n\n  /**\n   * Computes the style that will be applied to the popper element to gets\n   * properly positioned.\n   *\n   * Note that this modifier will not touch the DOM, it just prepares the styles\n   * so that `applyStyle` modifier can apply it. This separation is useful\n   * in case you need to replace `applyStyle` with a custom implementation.\n   *\n   * This modifier has `850` as `order` value to maintain backward compatibility\n   * with previous versions of Popper.js. Expect the modifiers ordering method\n   * to change in future major versions of the library.\n   *\n   * @memberof modifiers\n   * @inner\n   */\n  computeStyle: {\n    /** @prop {number} order=850 - Index used to define the order of execution */\n    order: 850,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: computeStyle,\n    /**\n     * @prop {Boolean} gpuAcceleration=true\n     * If true, it uses the CSS 3D transformation to position the popper.\n     * Otherwise, it will use the `top` and `left` properties\n     */\n    gpuAcceleration: true,\n    /**\n     * @prop {string} [x='bottom']\n     * Where to anchor the X axis (`bottom` or `top`). AKA X offset origin.\n     * Change this if your popper should grow in a direction different from `bottom`\n     */\n    x: 'bottom',\n    /**\n     * @prop {string} [x='left']\n     * Where to anchor the Y axis (`left` or `right`). AKA Y offset origin.\n     * Change this if your popper should grow in a direction different from `right`\n     */\n    y: 'right'\n  },\n\n  /**\n   * Applies the computed styles to the popper element.\n   *\n   * All the DOM manipulations are limited to this modifier. This is useful in case\n   * you want to integrate Popper.js inside a framework or view library and you\n   * want to delegate all the DOM manipulations to it.\n   *\n   * Note that if you disable this modifier, you must make sure the popper element\n   * has its position set to `absolute` before Popper.js can do its work!\n   *\n   * Just disable this modifier and define your own to achieve the desired effect.\n   *\n   * @memberof modifiers\n   * @inner\n   */\n  applyStyle: {\n    /** @prop {number} order=900 - Index used to define the order of execution */\n    order: 900,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn} */\n    fn: applyStyle,\n    /** @prop {Function} */\n    onLoad: applyStyleOnLoad,\n    /**\n     * @deprecated since version 1.10.0, the property moved to `computeStyle` modifier\n     * @prop {Boolean} gpuAcceleration=true\n     * If true, it uses the CSS 3D transformation to position the popper.\n     * Otherwise, it will use the `top` and `left` properties\n     */\n    gpuAcceleration: undefined\n  }\n};\n\n/**\n * The `dataObject` is an object containing all the information used by Popper.js.\n * This object is passed to modifiers and to the `onCreate` and `onUpdate` callbacks.\n * @name dataObject\n * @property {Object} data.instance The Popper.js instance\n * @property {String} data.placement Placement applied to popper\n * @property {String} data.originalPlacement Placement originally defined on init\n * @property {Boolean} data.flipped True if popper has been flipped by flip modifier\n * @property {Boolean} data.hide True if the reference element is out of boundaries, useful to know when to hide the popper\n * @property {HTMLElement} data.arrowElement Node used as arrow by arrow modifier\n * @property {Object} data.styles Any CSS property defined here will be applied to the popper. It expects the JavaScript nomenclature (eg. `marginBottom`)\n * @property {Object} data.arrowStyles Any CSS property defined here will be applied to the popper arrow. It expects the JavaScript nomenclature (eg. `marginBottom`)\n * @property {Object} data.boundaries Offsets of the popper boundaries\n * @property {Object} data.offsets The measurements of popper, reference and arrow elements\n * @property {Object} data.offsets.popper `top`, `left`, `width`, `height` values\n * @property {Object} data.offsets.reference `top`, `left`, `width`, `height` values\n * @property {Object} data.offsets.arrow] `top` and `left` offsets, only one of them will be different from 0\n */\n\n/**\n * Default options provided to Popper.js constructor.<br />\n * These can be overridden using the `options` argument of Popper.js.<br />\n * To override an option, simply pass an object with the same\n * structure of the `options` object, as the 3rd argument. For example:\n * ```\n * new Popper(ref, pop, {\n *   modifiers: {\n *     preventOverflow: { enabled: false }\n *   }\n * })\n * ```\n * @type {Object}\n * @static\n * @memberof Popper\n */\nvar Defaults = {\n  /**\n   * Popper's placement.\n   * @prop {Popper.placements} placement='bottom'\n   */\n  placement: 'bottom',\n\n  /**\n   * Set this to true if you want popper to position it self in 'fixed' mode\n   * @prop {Boolean} positionFixed=false\n   */\n  positionFixed: false,\n\n  /**\n   * Whether events (resize, scroll) are initially enabled.\n   * @prop {Boolean} eventsEnabled=true\n   */\n  eventsEnabled: true,\n\n  /**\n   * Set to true if you want to automatically remove the popper when\n   * you call the `destroy` method.\n   * @prop {Boolean} removeOnDestroy=false\n   */\n  removeOnDestroy: false,\n\n  /**\n   * Callback called when the popper is created.<br />\n   * By default, it is set to no-op.<br />\n   * Access Popper.js instance with `data.instance`.\n   * @prop {onCreate}\n   */\n  onCreate: function onCreate() {},\n\n  /**\n   * Callback called when the popper is updated. This callback is not called\n   * on the initialization/creation of the popper, but only on subsequent\n   * updates.<br />\n   * By default, it is set to no-op.<br />\n   * Access Popper.js instance with `data.instance`.\n   * @prop {onUpdate}\n   */\n  onUpdate: function onUpdate() {},\n\n  /**\n   * List of modifiers used to modify the offsets before they are applied to the popper.\n   * They provide most of the functionalities of Popper.js.\n   * @prop {modifiers}\n   */\n  modifiers: modifiers\n};\n\n/**\n * @callback onCreate\n * @param {dataObject} data\n */\n\n/**\n * @callback onUpdate\n * @param {dataObject} data\n */\n\n// Utils\n// Methods\nvar Popper = function () {\n  /**\n   * Creates a new Popper.js instance.\n   * @class Popper\n   * @param {Element|referenceObject} reference - The reference element used to position the popper\n   * @param {Element} popper - The HTML / XML element used as the popper\n   * @param {Object} options - Your custom options to override the ones defined in [Defaults](#defaults)\n   * @return {Object} instance - The generated Popper.js instance\n   */\n  function Popper(reference, popper) {\n    var _this = this;\n\n    var options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n    classCallCheck(this, Popper);\n\n    this.scheduleUpdate = function () {\n      return requestAnimationFrame(_this.update);\n    };\n\n    // make update() debounced, so that it only runs at most once-per-tick\n    this.update = debounce(this.update.bind(this));\n\n    // with {} we create a new object with the options inside it\n    this.options = _extends({}, Popper.Defaults, options);\n\n    // init state\n    this.state = {\n      isDestroyed: false,\n      isCreated: false,\n      scrollParents: []\n    };\n\n    // get reference and popper elements (allow jQuery wrappers)\n    this.reference = reference && reference.jquery ? reference[0] : reference;\n    this.popper = popper && popper.jquery ? popper[0] : popper;\n\n    // Deep merge modifiers options\n    this.options.modifiers = {};\n    Object.keys(_extends({}, Popper.Defaults.modifiers, options.modifiers)).forEach(function (name) {\n      _this.options.modifiers[name] = _extends({}, Popper.Defaults.modifiers[name] || {}, options.modifiers ? options.modifiers[name] : {});\n    });\n\n    // Refactoring modifiers' list (Object => Array)\n    this.modifiers = Object.keys(this.options.modifiers).map(function (name) {\n      return _extends({\n        name: name\n      }, _this.options.modifiers[name]);\n    })\n    // sort the modifiers by order\n    .sort(function (a, b) {\n      return a.order - b.order;\n    });\n\n    // modifiers have the ability to execute arbitrary code when Popper.js get inited\n    // such code is executed in the same order of its modifier\n    // they could add new properties to their options configuration\n    // BE AWARE: don't add options to `options.modifiers.name` but to `modifierOptions`!\n    this.modifiers.forEach(function (modifierOptions) {\n      if (modifierOptions.enabled && isFunction(modifierOptions.onLoad)) {\n        modifierOptions.onLoad(_this.reference, _this.popper, _this.options, modifierOptions, _this.state);\n      }\n    });\n\n    // fire the first update to position the popper in the right place\n    this.update();\n\n    var eventsEnabled = this.options.eventsEnabled;\n    if (eventsEnabled) {\n      // setup event listeners, they will take care of update the position in specific situations\n      this.enableEventListeners();\n    }\n\n    this.state.eventsEnabled = eventsEnabled;\n  }\n\n  // We can't use class properties because they don't get listed in the\n  // class prototype and break stuff like Sinon stubs\n\n\n  createClass(Popper, [{\n    key: 'update',\n    value: function update$$1() {\n      return update.call(this);\n    }\n  }, {\n    key: 'destroy',\n    value: function destroy$$1() {\n      return destroy.call(this);\n    }\n  }, {\n    key: 'enableEventListeners',\n    value: function enableEventListeners$$1() {\n      return enableEventListeners.call(this);\n    }\n  }, {\n    key: 'disableEventListeners',\n    value: function disableEventListeners$$1() {\n      return disableEventListeners.call(this);\n    }\n\n    /**\n     * Schedules an update. It will run on the next UI update available.\n     * @method scheduleUpdate\n     * @memberof Popper\n     */\n\n\n    /**\n     * Collection of utilities useful when writing custom modifiers.\n     * Starting from version 1.7, this method is available only if you\n     * include `popper-utils.js` before `popper.js`.\n     *\n     * **DEPRECATION**: This way to access PopperUtils is deprecated\n     * and will be removed in v2! Use the PopperUtils module directly instead.\n     * Due to the high instability of the methods contained in Utils, we can't\n     * guarantee them to follow semver. Use them at your own risk!\n     * @static\n     * @private\n     * @type {Object}\n     * @deprecated since version 1.8\n     * @member Utils\n     * @memberof Popper\n     */\n\n  }]);\n  return Popper;\n}();\n\n/**\n * The `referenceObject` is an object that provides an interface compatible with Popper.js\n * and lets you use it as replacement of a real DOM node.<br />\n * You can use this method to position a popper relatively to a set of coordinates\n * in case you don't have a DOM node to use as reference.\n *\n * ```\n * new Popper(referenceObject, popperNode);\n * ```\n *\n * NB: This feature isn't supported in Internet Explorer 10.\n * @name referenceObject\n * @property {Function} data.getBoundingClientRect\n * A function that returns a set of coordinates compatible with the native `getBoundingClientRect` method.\n * @property {number} data.clientWidth\n * An ES6 getter that will return the width of the virtual reference element.\n * @property {number} data.clientHeight\n * An ES6 getter that will return the height of the virtual reference element.\n */\n\n\nPopper.Utils = (typeof window !== 'undefined' ? window : global).PopperUtils;\nPopper.placements = placements;\nPopper.Defaults = Defaults;\n\nexport default Popper;\n//# sourceMappingURL=popper.js.map\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Popper from 'popper.js'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                     = 'dropdown'\nconst VERSION                  = '4.4.1'\nconst DATA_KEY                 = 'bs.dropdown'\nconst EVENT_KEY                = `.${DATA_KEY}`\nconst DATA_API_KEY             = '.data-api'\nconst JQUERY_NO_CONFLICT       = $.fn[NAME]\nconst ESCAPE_KEYCODE           = 27 // KeyboardEvent.which value for Escape (Esc) key\nconst SPACE_KEYCODE            = 32 // KeyboardEvent.which value for space key\nconst TAB_KEYCODE              = 9 // KeyboardEvent.which value for tab key\nconst ARROW_UP_KEYCODE         = 38 // KeyboardEvent.which value for up arrow key\nconst ARROW_DOWN_KEYCODE       = 40 // KeyboardEvent.which value for down arrow key\nconst RIGHT_MOUSE_BUTTON_WHICH = 3 // MouseEvent.which value for the right button (assuming a right-handed mouse)\nconst REGEXP_KEYDOWN           = new RegExp(`${ARROW_UP_KEYCODE}|${ARROW_DOWN_KEYCODE}|${ESCAPE_KEYCODE}`)\n\nconst Event = {\n  HIDE             : `hide${EVENT_KEY}`,\n  HIDDEN           : `hidden${EVENT_KEY}`,\n  SHOW             : `show${EVENT_KEY}`,\n  SHOWN            : `shown${EVENT_KEY}`,\n  CLICK            : `click${EVENT_KEY}`,\n  CLICK_DATA_API   : `click${EVENT_KEY}${DATA_API_KEY}`,\n  KEYDOWN_DATA_API : `keydown${EVENT_KEY}${DATA_API_KEY}`,\n  KEYUP_DATA_API   : `keyup${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  DISABLED        : 'disabled',\n  SHOW            : 'show',\n  DROPUP          : 'dropup',\n  DROPRIGHT       : 'dropright',\n  DROPLEFT        : 'dropleft',\n  MENURIGHT       : 'dropdown-menu-right',\n  MENULEFT        : 'dropdown-menu-left',\n  POSITION_STATIC : 'position-static'\n}\n\nconst Selector = {\n  DATA_TOGGLE   : '[data-toggle=\"dropdown\"]',\n  FORM_CHILD    : '.dropdown form',\n  MENU          : '.dropdown-menu',\n  NAVBAR_NAV    : '.navbar-nav',\n  VISIBLE_ITEMS : '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n}\n\nconst AttachmentMap = {\n  TOP       : 'top-start',\n  TOPEND    : 'top-end',\n  BOTTOM    : 'bottom-start',\n  BOTTOMEND : 'bottom-end',\n  RIGHT     : 'right-start',\n  RIGHTEND  : 'right-end',\n  LEFT      : 'left-start',\n  LEFTEND   : 'left-end'\n}\n\nconst Default = {\n  offset       : 0,\n  flip         : true,\n  boundary     : 'scrollParent',\n  reference    : 'toggle',\n  display      : 'dynamic',\n  popperConfig : null\n}\n\nconst DefaultType = {\n  offset       : '(number|string|function)',\n  flip         : 'boolean',\n  boundary     : '(string|element)',\n  reference    : '(string|element)',\n  display      : 'string',\n  popperConfig : '(null|object)'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Dropdown {\n  constructor(element, config) {\n    this._element  = element\n    this._popper   = null\n    this._config   = this._getConfig(config)\n    this._menu     = this._getMenuElement()\n    this._inNavbar = this._detectNavbar()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  // Public\n\n  toggle() {\n    if (this._element.disabled || $(this._element).hasClass(ClassName.DISABLED)) {\n      return\n    }\n\n    const isActive = $(this._menu).hasClass(ClassName.SHOW)\n\n    Dropdown._clearMenus()\n\n    if (isActive) {\n      return\n    }\n\n    this.show(true)\n  }\n\n  show(usePopper = false) {\n    if (this._element.disabled || $(this._element).hasClass(ClassName.DISABLED) || $(this._menu).hasClass(ClassName.SHOW)) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n    const showEvent = $.Event(Event.SHOW, relatedTarget)\n    const parent = Dropdown._getParentFromElement(this._element)\n\n    $(parent).trigger(showEvent)\n\n    if (showEvent.isDefaultPrevented()) {\n      return\n    }\n\n    // Disable totally Popper.js for Dropdown in Navbar\n    if (!this._inNavbar && usePopper) {\n      /**\n       * Check for Popper dependency\n       * Popper - https://popper.js.org\n       */\n      if (typeof Popper === 'undefined') {\n        throw new TypeError('Bootstrap\\'s dropdowns require Popper.js (https://popper.js.org/)')\n      }\n\n      let referenceElement = this._element\n\n      if (this._config.reference === 'parent') {\n        referenceElement = parent\n      } else if (Util.isElement(this._config.reference)) {\n        referenceElement = this._config.reference\n\n        // Check if it's jQuery element\n        if (typeof this._config.reference.jquery !== 'undefined') {\n          referenceElement = this._config.reference[0]\n        }\n      }\n\n      // If boundary is not `scrollParent`, then set position to `static`\n      // to allow the menu to \"escape\" the scroll parent's boundaries\n      // https://github.com/twbs/bootstrap/issues/24251\n      if (this._config.boundary !== 'scrollParent') {\n        $(parent).addClass(ClassName.POSITION_STATIC)\n      }\n      this._popper = new Popper(referenceElement, this._menu, this._getPopperConfig())\n    }\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement &&\n        $(parent).closest(Selector.NAVBAR_NAV).length === 0) {\n      $(document.body).children().on('mouseover', null, $.noop)\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    $(this._menu).toggleClass(ClassName.SHOW)\n    $(parent)\n      .toggleClass(ClassName.SHOW)\n      .trigger($.Event(Event.SHOWN, relatedTarget))\n  }\n\n  hide() {\n    if (this._element.disabled || $(this._element).hasClass(ClassName.DISABLED) || !$(this._menu).hasClass(ClassName.SHOW)) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n    const hideEvent = $.Event(Event.HIDE, relatedTarget)\n    const parent = Dropdown._getParentFromElement(this._element)\n\n    $(parent).trigger(hideEvent)\n\n    if (hideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    $(this._menu).toggleClass(ClassName.SHOW)\n    $(parent)\n      .toggleClass(ClassName.SHOW)\n      .trigger($.Event(Event.HIDDEN, relatedTarget))\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n    $(this._element).off(EVENT_KEY)\n    this._element = null\n    this._menu = null\n    if (this._popper !== null) {\n      this._popper.destroy()\n      this._popper = null\n    }\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper !== null) {\n      this._popper.scheduleUpdate()\n    }\n  }\n\n  // Private\n\n  _addEventListeners() {\n    $(this._element).on(Event.CLICK, (event) => {\n      event.preventDefault()\n      event.stopPropagation()\n      this.toggle()\n    })\n  }\n\n  _getConfig(config) {\n    config = {\n      ...this.constructor.Default,\n      ...$(this._element).data(),\n      ...config\n    }\n\n    Util.typeCheckConfig(\n      NAME,\n      config,\n      this.constructor.DefaultType\n    )\n\n    return config\n  }\n\n  _getMenuElement() {\n    if (!this._menu) {\n      const parent = Dropdown._getParentFromElement(this._element)\n\n      if (parent) {\n        this._menu = parent.querySelector(Selector.MENU)\n      }\n    }\n    return this._menu\n  }\n\n  _getPlacement() {\n    const $parentDropdown = $(this._element.parentNode)\n    let placement = AttachmentMap.BOTTOM\n\n    // Handle dropup\n    if ($parentDropdown.hasClass(ClassName.DROPUP)) {\n      placement = AttachmentMap.TOP\n      if ($(this._menu).hasClass(ClassName.MENURIGHT)) {\n        placement = AttachmentMap.TOPEND\n      }\n    } else if ($parentDropdown.hasClass(ClassName.DROPRIGHT)) {\n      placement = AttachmentMap.RIGHT\n    } else if ($parentDropdown.hasClass(ClassName.DROPLEFT)) {\n      placement = AttachmentMap.LEFT\n    } else if ($(this._menu).hasClass(ClassName.MENURIGHT)) {\n      placement = AttachmentMap.BOTTOMEND\n    }\n    return placement\n  }\n\n  _detectNavbar() {\n    return $(this._element).closest('.navbar').length > 0\n  }\n\n  _getOffset() {\n    const offset = {}\n\n    if (typeof this._config.offset === 'function') {\n      offset.fn = (data) => {\n        data.offsets = {\n          ...data.offsets,\n          ...this._config.offset(data.offsets, this._element) || {}\n        }\n\n        return data\n      }\n    } else {\n      offset.offset = this._config.offset\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const popperConfig = {\n      placement: this._getPlacement(),\n      modifiers: {\n        offset: this._getOffset(),\n        flip: {\n          enabled: this._config.flip\n        },\n        preventOverflow: {\n          boundariesElement: this._config.boundary\n        }\n      }\n    }\n\n    // Disable Popper.js if we have a static display\n    if (this._config.display === 'static') {\n      popperConfig.modifiers.applyStyle = {\n        enabled: false\n      }\n    }\n\n    return {\n      ...popperConfig,\n      ...this._config.popperConfig\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      const _config = typeof config === 'object' ? config : null\n\n      if (!data) {\n        data = new Dropdown(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n\n  static _clearMenus(event) {\n    if (event && (event.which === RIGHT_MOUSE_BUTTON_WHICH ||\n      event.type === 'keyup' && event.which !== TAB_KEYCODE)) {\n      return\n    }\n\n    const toggles = [].slice.call(document.querySelectorAll(Selector.DATA_TOGGLE))\n\n    for (let i = 0, len = toggles.length; i < len; i++) {\n      const parent = Dropdown._getParentFromElement(toggles[i])\n      const context = $(toggles[i]).data(DATA_KEY)\n      const relatedTarget = {\n        relatedTarget: toggles[i]\n      }\n\n      if (event && event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      if (!context) {\n        continue\n      }\n\n      const dropdownMenu = context._menu\n      if (!$(parent).hasClass(ClassName.SHOW)) {\n        continue\n      }\n\n      if (event && (event.type === 'click' &&\n          /input|textarea/i.test(event.target.tagName) || event.type === 'keyup' && event.which === TAB_KEYCODE) &&\n          $.contains(parent, event.target)) {\n        continue\n      }\n\n      const hideEvent = $.Event(Event.HIDE, relatedTarget)\n      $(parent).trigger(hideEvent)\n      if (hideEvent.isDefaultPrevented()) {\n        continue\n      }\n\n      // If this is a touch-enabled device we remove the extra\n      // empty mouseover listeners we added for iOS support\n      if ('ontouchstart' in document.documentElement) {\n        $(document.body).children().off('mouseover', null, $.noop)\n      }\n\n      toggles[i].setAttribute('aria-expanded', 'false')\n\n      if (context._popper) {\n        context._popper.destroy()\n      }\n\n      $(dropdownMenu).removeClass(ClassName.SHOW)\n      $(parent)\n        .removeClass(ClassName.SHOW)\n        .trigger($.Event(Event.HIDDEN, relatedTarget))\n    }\n  }\n\n  static _getParentFromElement(element) {\n    let parent\n    const selector = Util.getSelectorFromElement(element)\n\n    if (selector) {\n      parent = document.querySelector(selector)\n    }\n\n    return parent || element.parentNode\n  }\n\n  // eslint-disable-next-line complexity\n  static _dataApiKeydownHandler(event) {\n    // If not input/textarea:\n    //  - And not a key in REGEXP_KEYDOWN => not a dropdown command\n    // If input/textarea:\n    //  - If space key => not a dropdown command\n    //  - If key is other than escape\n    //    - If key is not up or down => not a dropdown command\n    //    - If trigger inside the menu => not a dropdown command\n    if (/input|textarea/i.test(event.target.tagName)\n      ? event.which === SPACE_KEYCODE || event.which !== ESCAPE_KEYCODE &&\n      (event.which !== ARROW_DOWN_KEYCODE && event.which !== ARROW_UP_KEYCODE ||\n        $(event.target).closest(Selector.MENU).length) : !REGEXP_KEYDOWN.test(event.which)) {\n      return\n    }\n\n    event.preventDefault()\n    event.stopPropagation()\n\n    if (this.disabled || $(this).hasClass(ClassName.DISABLED)) {\n      return\n    }\n\n    const parent   = Dropdown._getParentFromElement(this)\n    const isActive = $(parent).hasClass(ClassName.SHOW)\n\n    if (!isActive && event.which === ESCAPE_KEYCODE) {\n      return\n    }\n\n    if (!isActive || isActive && (event.which === ESCAPE_KEYCODE || event.which === SPACE_KEYCODE)) {\n      if (event.which === ESCAPE_KEYCODE) {\n        const toggle = parent.querySelector(Selector.DATA_TOGGLE)\n        $(toggle).trigger('focus')\n      }\n\n      $(this).trigger('click')\n      return\n    }\n\n    const items = [].slice.call(parent.querySelectorAll(Selector.VISIBLE_ITEMS))\n      .filter((item) => $(item).is(':visible'))\n\n    if (items.length === 0) {\n      return\n    }\n\n    let index = items.indexOf(event.target)\n\n    if (event.which === ARROW_UP_KEYCODE && index > 0) { // Up\n      index--\n    }\n\n    if (event.which === ARROW_DOWN_KEYCODE && index < items.length - 1) { // Down\n      index++\n    }\n\n    if (index < 0) {\n      index = 0\n    }\n\n    items[index].focus()\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document)\n  .on(Event.KEYDOWN_DATA_API, Selector.DATA_TOGGLE, Dropdown._dataApiKeydownHandler)\n  .on(Event.KEYDOWN_DATA_API, Selector.MENU, Dropdown._dataApiKeydownHandler)\n  .on(`${Event.CLICK_DATA_API} ${Event.KEYUP_DATA_API}`, Dropdown._clearMenus)\n  .on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {\n    event.preventDefault()\n    event.stopPropagation()\n    Dropdown._jQueryInterface.call($(this), 'toggle')\n  })\n  .on(Event.CLICK_DATA_API, Selector.FORM_CHILD, (e) => {\n    e.stopPropagation()\n  })\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Dropdown._jQueryInterface\n$.fn[NAME].Constructor = Dropdown\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Dropdown._jQueryInterface\n}\n\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME               = 'modal'\nconst VERSION            = '4.4.1'\nconst DATA_KEY           = 'bs.modal'\nconst EVENT_KEY          = `.${DATA_KEY}`\nconst DATA_API_KEY       = '.data-api'\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\nconst ESCAPE_KEYCODE     = 27 // KeyboardEvent.which value for Escape (Esc) key\n\nconst Default = {\n  backdrop : true,\n  keyboard : true,\n  focus    : true,\n  show     : true\n}\n\nconst DefaultType = {\n  backdrop : '(boolean|string)',\n  keyboard : 'boolean',\n  focus    : 'boolean',\n  show     : 'boolean'\n}\n\nconst Event = {\n  HIDE              : `hide${EVENT_KEY}`,\n  HIDE_PREVENTED    : `hidePrevented${EVENT_KEY}`,\n  HIDDEN            : `hidden${EVENT_KEY}`,\n  SHOW              : `show${EVENT_KEY}`,\n  SHOWN             : `shown${EVENT_KEY}`,\n  FOCUSIN           : `focusin${EVENT_KEY}`,\n  RESIZE            : `resize${EVENT_KEY}`,\n  CLICK_DISMISS     : `click.dismiss${EVENT_KEY}`,\n  KEYDOWN_DISMISS   : `keydown.dismiss${EVENT_KEY}`,\n  MOUSEUP_DISMISS   : `mouseup.dismiss${EVENT_KEY}`,\n  MOUSEDOWN_DISMISS : `mousedown.dismiss${EVENT_KEY}`,\n  CLICK_DATA_API    : `click${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  SCROLLABLE         : 'modal-dialog-scrollable',\n  SCROLLBAR_MEASURER : 'modal-scrollbar-measure',\n  BACKDROP           : 'modal-backdrop',\n  OPEN               : 'modal-open',\n  FADE               : 'fade',\n  SHOW               : 'show',\n  STATIC             : 'modal-static'\n}\n\nconst Selector = {\n  DIALOG         : '.modal-dialog',\n  MODAL_BODY     : '.modal-body',\n  DATA_TOGGLE    : '[data-toggle=\"modal\"]',\n  DATA_DISMISS   : '[data-dismiss=\"modal\"]',\n  FIXED_CONTENT  : '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top',\n  STICKY_CONTENT : '.sticky-top'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Modal {\n  constructor(element, config) {\n    this._config              = this._getConfig(config)\n    this._element             = element\n    this._dialog              = element.querySelector(Selector.DIALOG)\n    this._backdrop            = null\n    this._isShown             = false\n    this._isBodyOverflowing   = false\n    this._ignoreBackdropClick = false\n    this._isTransitioning     = false\n    this._scrollbarWidth      = 0\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    if ($(this._element).hasClass(ClassName.FADE)) {\n      this._isTransitioning = true\n    }\n\n    const showEvent = $.Event(Event.SHOW, {\n      relatedTarget\n    })\n\n    $(this._element).trigger(showEvent)\n\n    if (this._isShown || showEvent.isDefaultPrevented()) {\n      return\n    }\n\n    this._isShown = true\n\n    this._checkScrollbar()\n    this._setScrollbar()\n\n    this._adjustDialog()\n\n    this._setEscapeEvent()\n    this._setResizeEvent()\n\n    $(this._element).on(\n      Event.CLICK_DISMISS,\n      Selector.DATA_DISMISS,\n      (event) => this.hide(event)\n    )\n\n    $(this._dialog).on(Event.MOUSEDOWN_DISMISS, () => {\n      $(this._element).one(Event.MOUSEUP_DISMISS, (event) => {\n        if ($(event.target).is(this._element)) {\n          this._ignoreBackdropClick = true\n        }\n      })\n    })\n\n    this._showBackdrop(() => this._showElement(relatedTarget))\n  }\n\n  hide(event) {\n    if (event) {\n      event.preventDefault()\n    }\n\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = $.Event(Event.HIDE)\n\n    $(this._element).trigger(hideEvent)\n\n    if (!this._isShown || hideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    this._isShown = false\n    const transition = $(this._element).hasClass(ClassName.FADE)\n\n    if (transition) {\n      this._isTransitioning = true\n    }\n\n    this._setEscapeEvent()\n    this._setResizeEvent()\n\n    $(document).off(Event.FOCUSIN)\n\n    $(this._element).removeClass(ClassName.SHOW)\n\n    $(this._element).off(Event.CLICK_DISMISS)\n    $(this._dialog).off(Event.MOUSEDOWN_DISMISS)\n\n\n    if (transition) {\n      const transitionDuration  = Util.getTransitionDurationFromElement(this._element)\n\n      $(this._element)\n        .one(Util.TRANSITION_END, (event) => this._hideModal(event))\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      this._hideModal()\n    }\n  }\n\n  dispose() {\n    [window, this._element, this._dialog]\n      .forEach((htmlElement) => $(htmlElement).off(EVENT_KEY))\n\n    /**\n     * `document` has 2 events `Event.FOCUSIN` and `Event.CLICK_DATA_API`\n     * Do not move `document` in `htmlElements` array\n     * It will remove `Event.CLICK_DATA_API` event that should remain\n     */\n    $(document).off(Event.FOCUSIN)\n\n    $.removeData(this._element, DATA_KEY)\n\n    this._config              = null\n    this._element             = null\n    this._dialog              = null\n    this._backdrop            = null\n    this._isShown             = null\n    this._isBodyOverflowing   = null\n    this._ignoreBackdropClick = null\n    this._isTransitioning     = null\n    this._scrollbarWidth      = null\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...config\n    }\n    Util.typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _triggerBackdropTransition() {\n    if (this._config.backdrop === 'static') {\n      const hideEventPrevented = $.Event(Event.HIDE_PREVENTED)\n\n      $(this._element).trigger(hideEventPrevented)\n      if (hideEventPrevented.defaultPrevented) {\n        return\n      }\n\n      this._element.classList.add(ClassName.STATIC)\n\n      const modalTransitionDuration = Util.getTransitionDurationFromElement(this._element)\n\n      $(this._element).one(Util.TRANSITION_END, () => {\n        this._element.classList.remove(ClassName.STATIC)\n      })\n        .emulateTransitionEnd(modalTransitionDuration)\n      this._element.focus()\n    } else {\n      this.hide()\n    }\n  }\n\n  _showElement(relatedTarget) {\n    const transition = $(this._element).hasClass(ClassName.FADE)\n    const modalBody = this._dialog ? this._dialog.querySelector(Selector.MODAL_BODY) : null\n\n    if (!this._element.parentNode ||\n        this._element.parentNode.nodeType !== Node.ELEMENT_NODE) {\n      // Don't move modal's DOM position\n      document.body.appendChild(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n\n    if ($(this._dialog).hasClass(ClassName.SCROLLABLE) && modalBody) {\n      modalBody.scrollTop = 0\n    } else {\n      this._element.scrollTop = 0\n    }\n\n    if (transition) {\n      Util.reflow(this._element)\n    }\n\n    $(this._element).addClass(ClassName.SHOW)\n\n    if (this._config.focus) {\n      this._enforceFocus()\n    }\n\n    const shownEvent = $.Event(Event.SHOWN, {\n      relatedTarget\n    })\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._element.focus()\n      }\n      this._isTransitioning = false\n      $(this._element).trigger(shownEvent)\n    }\n\n    if (transition) {\n      const transitionDuration  = Util.getTransitionDurationFromElement(this._dialog)\n\n      $(this._dialog)\n        .one(Util.TRANSITION_END, transitionComplete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      transitionComplete()\n    }\n  }\n\n  _enforceFocus() {\n    $(document)\n      .off(Event.FOCUSIN) // Guard against infinite focus loop\n      .on(Event.FOCUSIN, (event) => {\n        if (document !== event.target &&\n            this._element !== event.target &&\n            $(this._element).has(event.target).length === 0) {\n          this._element.focus()\n        }\n      })\n  }\n\n  _setEscapeEvent() {\n    if (this._isShown && this._config.keyboard) {\n      $(this._element).on(Event.KEYDOWN_DISMISS, (event) => {\n        if (event.which === ESCAPE_KEYCODE) {\n          this._triggerBackdropTransition()\n        }\n      })\n    } else if (!this._isShown) {\n      $(this._element).off(Event.KEYDOWN_DISMISS)\n    }\n  }\n\n  _setResizeEvent() {\n    if (this._isShown) {\n      $(window).on(Event.RESIZE, (event) => this.handleUpdate(event))\n    } else {\n      $(window).off(Event.RESIZE)\n    }\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._isTransitioning = false\n    this._showBackdrop(() => {\n      $(document.body).removeClass(ClassName.OPEN)\n      this._resetAdjustments()\n      this._resetScrollbar()\n      $(this._element).trigger(Event.HIDDEN)\n    })\n  }\n\n  _removeBackdrop() {\n    if (this._backdrop) {\n      $(this._backdrop).remove()\n      this._backdrop = null\n    }\n  }\n\n  _showBackdrop(callback) {\n    const animate = $(this._element).hasClass(ClassName.FADE)\n      ? ClassName.FADE : ''\n\n    if (this._isShown && this._config.backdrop) {\n      this._backdrop = document.createElement('div')\n      this._backdrop.className = ClassName.BACKDROP\n\n      if (animate) {\n        this._backdrop.classList.add(animate)\n      }\n\n      $(this._backdrop).appendTo(document.body)\n\n      $(this._element).on(Event.CLICK_DISMISS, (event) => {\n        if (this._ignoreBackdropClick) {\n          this._ignoreBackdropClick = false\n          return\n        }\n        if (event.target !== event.currentTarget) {\n          return\n        }\n\n        this._triggerBackdropTransition()\n      })\n\n      if (animate) {\n        Util.reflow(this._backdrop)\n      }\n\n      $(this._backdrop).addClass(ClassName.SHOW)\n\n      if (!callback) {\n        return\n      }\n\n      if (!animate) {\n        callback()\n        return\n      }\n\n      const backdropTransitionDuration = Util.getTransitionDurationFromElement(this._backdrop)\n\n      $(this._backdrop)\n        .one(Util.TRANSITION_END, callback)\n        .emulateTransitionEnd(backdropTransitionDuration)\n    } else if (!this._isShown && this._backdrop) {\n      $(this._backdrop).removeClass(ClassName.SHOW)\n\n      const callbackRemove = () => {\n        this._removeBackdrop()\n        if (callback) {\n          callback()\n        }\n      }\n\n      if ($(this._element).hasClass(ClassName.FADE)) {\n        const backdropTransitionDuration = Util.getTransitionDurationFromElement(this._backdrop)\n\n        $(this._backdrop)\n          .one(Util.TRANSITION_END, callbackRemove)\n          .emulateTransitionEnd(backdropTransitionDuration)\n      } else {\n        callbackRemove()\n      }\n    } else if (callback) {\n      callback()\n    }\n  }\n\n  // ----------------------------------------------------------------------\n  // the following methods are used to handle overflowing modals\n  // todo (fat): these should probably be refactored out of modal.js\n  // ----------------------------------------------------------------------\n\n  _adjustDialog() {\n    const isModalOverflowing =\n      this._element.scrollHeight > document.documentElement.clientHeight\n\n    if (!this._isBodyOverflowing && isModalOverflowing) {\n      this._element.style.paddingLeft = `${this._scrollbarWidth}px`\n    }\n\n    if (this._isBodyOverflowing && !isModalOverflowing) {\n      this._element.style.paddingRight = `${this._scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  _checkScrollbar() {\n    const rect = document.body.getBoundingClientRect()\n    this._isBodyOverflowing = rect.left + rect.right < window.innerWidth\n    this._scrollbarWidth = this._getScrollbarWidth()\n  }\n\n  _setScrollbar() {\n    if (this._isBodyOverflowing) {\n      // Note: DOMNode.style.paddingRight returns the actual value or '' if not set\n      //   while $(DOMNode).css('padding-right') returns the calculated value or 0 if not set\n      const fixedContent = [].slice.call(document.querySelectorAll(Selector.FIXED_CONTENT))\n      const stickyContent = [].slice.call(document.querySelectorAll(Selector.STICKY_CONTENT))\n\n      // Adjust fixed content padding\n      $(fixedContent).each((index, element) => {\n        const actualPadding = element.style.paddingRight\n        const calculatedPadding = $(element).css('padding-right')\n        $(element)\n          .data('padding-right', actualPadding)\n          .css('padding-right', `${parseFloat(calculatedPadding) + this._scrollbarWidth}px`)\n      })\n\n      // Adjust sticky content margin\n      $(stickyContent).each((index, element) => {\n        const actualMargin = element.style.marginRight\n        const calculatedMargin = $(element).css('margin-right')\n        $(element)\n          .data('margin-right', actualMargin)\n          .css('margin-right', `${parseFloat(calculatedMargin) - this._scrollbarWidth}px`)\n      })\n\n      // Adjust body padding\n      const actualPadding = document.body.style.paddingRight\n      const calculatedPadding = $(document.body).css('padding-right')\n      $(document.body)\n        .data('padding-right', actualPadding)\n        .css('padding-right', `${parseFloat(calculatedPadding) + this._scrollbarWidth}px`)\n    }\n\n    $(document.body).addClass(ClassName.OPEN)\n  }\n\n  _resetScrollbar() {\n    // Restore fixed content padding\n    const fixedContent = [].slice.call(document.querySelectorAll(Selector.FIXED_CONTENT))\n    $(fixedContent).each((index, element) => {\n      const padding = $(element).data('padding-right')\n      $(element).removeData('padding-right')\n      element.style.paddingRight = padding ? padding : ''\n    })\n\n    // Restore sticky content\n    const elements = [].slice.call(document.querySelectorAll(`${Selector.STICKY_CONTENT}`))\n    $(elements).each((index, element) => {\n      const margin = $(element).data('margin-right')\n      if (typeof margin !== 'undefined') {\n        $(element).css('margin-right', margin).removeData('margin-right')\n      }\n    })\n\n    // Restore body padding\n    const padding = $(document.body).data('padding-right')\n    $(document.body).removeData('padding-right')\n    document.body.style.paddingRight = padding ? padding : ''\n  }\n\n  _getScrollbarWidth() { // thx d.walsh\n    const scrollDiv = document.createElement('div')\n    scrollDiv.className = ClassName.SCROLLBAR_MEASURER\n    document.body.appendChild(scrollDiv)\n    const scrollbarWidth = scrollDiv.getBoundingClientRect().width - scrollDiv.clientWidth\n    document.body.removeChild(scrollDiv)\n    return scrollbarWidth\n  }\n\n  // Static\n\n  static _jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      const _config = {\n        ...Default,\n        ...$(this).data(),\n        ...typeof config === 'object' && config ? config : {}\n      }\n\n      if (!data) {\n        data = new Modal(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config](relatedTarget)\n      } else if (_config.show) {\n        data.show(relatedTarget)\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {\n  let target\n  const selector = Util.getSelectorFromElement(this)\n\n  if (selector) {\n    target = document.querySelector(selector)\n  }\n\n  const config = $(target).data(DATA_KEY)\n    ? 'toggle' : {\n      ...$(target).data(),\n      ...$(this).data()\n    }\n\n  if (this.tagName === 'A' || this.tagName === 'AREA') {\n    event.preventDefault()\n  }\n\n  const $target = $(target).one(Event.SHOW, (showEvent) => {\n    if (showEvent.isDefaultPrevented()) {\n      // Only register focus restorer if modal will actually get shown\n      return\n    }\n\n    $target.one(Event.HIDDEN, () => {\n      if ($(this).is(':visible')) {\n        this.focus()\n      }\n    })\n  })\n\n  Modal._jQueryInterface.call($(target), config, this)\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Modal._jQueryInterface\n$.fn[NAME].Constructor = Modal\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Modal._jQueryInterface\n}\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): tools/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttrs = [\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n]\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultWhitelist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file):|[^&:/?#]*(?:[/?#]|$))/gi\n\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[a-z0-9+/]+=*$/i\n\nfunction allowedAttribute(attr, allowedAttributeList) {\n  const attrName = attr.nodeName.toLowerCase()\n\n  if (allowedAttributeList.indexOf(attrName) !== -1) {\n    if (uriAttrs.indexOf(attrName) !== -1) {\n      return Boolean(attr.nodeValue.match(SAFE_URL_PATTERN) || attr.nodeValue.match(DATA_URL_PATTERN))\n    }\n\n    return true\n  }\n\n  const regExp = allowedAttributeList.filter((attrRegex) => attrRegex instanceof RegExp)\n\n  // Check if a regular expression validates the attribute.\n  for (let i = 0, l = regExp.length; i < l; i++) {\n    if (attrName.match(regExp[i])) {\n      return true\n    }\n  }\n\n  return false\n}\n\nexport function sanitizeHtml(unsafeHtml, whiteList, sanitizeFn) {\n  if (unsafeHtml.length === 0) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFn && typeof sanitizeFn === 'function') {\n    return sanitizeFn(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const whitelistKeys = Object.keys(whiteList)\n  const elements = [].slice.call(createdDocument.body.querySelectorAll('*'))\n\n  for (let i = 0, len = elements.length; i < len; i++) {\n    const el = elements[i]\n    const elName = el.nodeName.toLowerCase()\n\n    if (whitelistKeys.indexOf(el.nodeName.toLowerCase()) === -1) {\n      el.parentNode.removeChild(el)\n\n      continue\n    }\n\n    const attributeList = [].slice.call(el.attributes)\n    const whitelistedAttributes = [].concat(whiteList['*'] || [], whiteList[elName] || [])\n\n    attributeList.forEach((attr) => {\n      if (!allowedAttribute(attr, whitelistedAttributes)) {\n        el.removeAttribute(attr.nodeName)\n      }\n    })\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  DefaultWhitelist,\n  sanitizeHtml\n} from './tools/sanitizer'\nimport $ from 'jquery'\nimport Popper from 'popper.js'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                  = 'tooltip'\nconst VERSION               = '4.4.1'\nconst DATA_KEY              = 'bs.tooltip'\nconst EVENT_KEY             = `.${DATA_KEY}`\nconst JQUERY_NO_CONFLICT    = $.fn[NAME]\nconst CLASS_PREFIX          = 'bs-tooltip'\nconst BSCLS_PREFIX_REGEX    = new RegExp(`(^|\\\\s)${CLASS_PREFIX}\\\\S+`, 'g')\nconst DISALLOWED_ATTRIBUTES = ['sanitize', 'whiteList', 'sanitizeFn']\n\nconst DefaultType = {\n  animation         : 'boolean',\n  template          : 'string',\n  title             : '(string|element|function)',\n  trigger           : 'string',\n  delay             : '(number|object)',\n  html              : 'boolean',\n  selector          : '(string|boolean)',\n  placement         : '(string|function)',\n  offset            : '(number|string|function)',\n  container         : '(string|element|boolean)',\n  fallbackPlacement : '(string|array)',\n  boundary          : '(string|element)',\n  sanitize          : 'boolean',\n  sanitizeFn        : '(null|function)',\n  whiteList         : 'object',\n  popperConfig      : '(null|object)'\n}\n\nconst AttachmentMap = {\n  AUTO   : 'auto',\n  TOP    : 'top',\n  RIGHT  : 'right',\n  BOTTOM : 'bottom',\n  LEFT   : 'left'\n}\n\nconst Default = {\n  animation         : true,\n  template          : '<div class=\"tooltip\" role=\"tooltip\">' +\n                    '<div class=\"arrow\"></div>' +\n                    '<div class=\"tooltip-inner\"></div></div>',\n  trigger           : 'hover focus',\n  title             : '',\n  delay             : 0,\n  html              : false,\n  selector          : false,\n  placement         : 'top',\n  offset            : 0,\n  container         : false,\n  fallbackPlacement : 'flip',\n  boundary          : 'scrollParent',\n  sanitize          : true,\n  sanitizeFn        : null,\n  whiteList         : DefaultWhitelist,\n  popperConfig      : null\n}\n\nconst HoverState = {\n  SHOW : 'show',\n  OUT  : 'out'\n}\n\nconst Event = {\n  HIDE       : `hide${EVENT_KEY}`,\n  HIDDEN     : `hidden${EVENT_KEY}`,\n  SHOW       : `show${EVENT_KEY}`,\n  SHOWN      : `shown${EVENT_KEY}`,\n  INSERTED   : `inserted${EVENT_KEY}`,\n  CLICK      : `click${EVENT_KEY}`,\n  FOCUSIN    : `focusin${EVENT_KEY}`,\n  FOCUSOUT   : `focusout${EVENT_KEY}`,\n  MOUSEENTER : `mouseenter${EVENT_KEY}`,\n  MOUSELEAVE : `mouseleave${EVENT_KEY}`\n}\n\nconst ClassName = {\n  FADE : 'fade',\n  SHOW : 'show'\n}\n\nconst Selector = {\n  TOOLTIP       : '.tooltip',\n  TOOLTIP_INNER : '.tooltip-inner',\n  ARROW         : '.arrow'\n}\n\nconst Trigger = {\n  HOVER  : 'hover',\n  FOCUS  : 'focus',\n  CLICK  : 'click',\n  MANUAL : 'manual'\n}\n\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Tooltip {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper.js (https://popper.js.org/)')\n    }\n\n    // private\n    this._isEnabled     = true\n    this._timeout       = 0\n    this._hoverState    = ''\n    this._activeTrigger = {}\n    this._popper        = null\n\n    // Protected\n    this.element = element\n    this.config  = this._getConfig(config)\n    this.tip     = null\n\n    this._setListeners()\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  static get DATA_KEY() {\n    return DATA_KEY\n  }\n\n  static get Event() {\n    return Event\n  }\n\n  static get EVENT_KEY() {\n    return EVENT_KEY\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  // Public\n\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle(event) {\n    if (!this._isEnabled) {\n      return\n    }\n\n    if (event) {\n      const dataKey = this.constructor.DATA_KEY\n      let context = $(event.currentTarget).data(dataKey)\n\n      if (!context) {\n        context = new this.constructor(\n          event.currentTarget,\n          this._getDelegateConfig()\n        )\n        $(event.currentTarget).data(dataKey, context)\n      }\n\n      context._activeTrigger.click = !context._activeTrigger.click\n\n      if (context._isWithActiveTrigger()) {\n        context._enter(null, context)\n      } else {\n        context._leave(null, context)\n      }\n    } else {\n      if ($(this.getTipElement()).hasClass(ClassName.SHOW)) {\n        this._leave(null, this)\n        return\n      }\n\n      this._enter(null, this)\n    }\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    $.removeData(this.element, this.constructor.DATA_KEY)\n\n    $(this.element).off(this.constructor.EVENT_KEY)\n    $(this.element).closest('.modal').off('hide.bs.modal', this._hideModalHandler)\n\n    if (this.tip) {\n      $(this.tip).remove()\n    }\n\n    this._isEnabled     = null\n    this._timeout       = null\n    this._hoverState    = null\n    this._activeTrigger = null\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._popper = null\n    this.element = null\n    this.config  = null\n    this.tip     = null\n  }\n\n  show() {\n    if ($(this.element).css('display') === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    const showEvent = $.Event(this.constructor.Event.SHOW)\n    if (this.isWithContent() && this._isEnabled) {\n      $(this.element).trigger(showEvent)\n\n      const shadowRoot = Util.findShadowRoot(this.element)\n      const isInTheDom = $.contains(\n        shadowRoot !== null ? shadowRoot : this.element.ownerDocument.documentElement,\n        this.element\n      )\n\n      if (showEvent.isDefaultPrevented() || !isInTheDom) {\n        return\n      }\n\n      const tip   = this.getTipElement()\n      const tipId = Util.getUID(this.constructor.NAME)\n\n      tip.setAttribute('id', tipId)\n      this.element.setAttribute('aria-describedby', tipId)\n\n      this.setContent()\n\n      if (this.config.animation) {\n        $(tip).addClass(ClassName.FADE)\n      }\n\n      const placement  = typeof this.config.placement === 'function'\n        ? this.config.placement.call(this, tip, this.element)\n        : this.config.placement\n\n      const attachment = this._getAttachment(placement)\n      this.addAttachmentClass(attachment)\n\n      const container = this._getContainer()\n      $(tip).data(this.constructor.DATA_KEY, this)\n\n      if (!$.contains(this.element.ownerDocument.documentElement, this.tip)) {\n        $(tip).appendTo(container)\n      }\n\n      $(this.element).trigger(this.constructor.Event.INSERTED)\n\n      this._popper = new Popper(this.element, tip, this._getPopperConfig(attachment))\n\n      $(tip).addClass(ClassName.SHOW)\n\n      // If this is a touch-enabled device we add extra\n      // empty mouseover listeners to the body's immediate children;\n      // only needed because of broken event delegation on iOS\n      // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n      if ('ontouchstart' in document.documentElement) {\n        $(document.body).children().on('mouseover', null, $.noop)\n      }\n\n      const complete = () => {\n        if (this.config.animation) {\n          this._fixTransition()\n        }\n        const prevHoverState = this._hoverState\n        this._hoverState     = null\n\n        $(this.element).trigger(this.constructor.Event.SHOWN)\n\n        if (prevHoverState === HoverState.OUT) {\n          this._leave(null, this)\n        }\n      }\n\n      if ($(this.tip).hasClass(ClassName.FADE)) {\n        const transitionDuration = Util.getTransitionDurationFromElement(this.tip)\n\n        $(this.tip)\n          .one(Util.TRANSITION_END, complete)\n          .emulateTransitionEnd(transitionDuration)\n      } else {\n        complete()\n      }\n    }\n  }\n\n  hide(callback) {\n    const tip       = this.getTipElement()\n    const hideEvent = $.Event(this.constructor.Event.HIDE)\n    const complete = () => {\n      if (this._hoverState !== HoverState.SHOW && tip.parentNode) {\n        tip.parentNode.removeChild(tip)\n      }\n\n      this._cleanTipClass()\n      this.element.removeAttribute('aria-describedby')\n      $(this.element).trigger(this.constructor.Event.HIDDEN)\n      if (this._popper !== null) {\n        this._popper.destroy()\n      }\n\n      if (callback) {\n        callback()\n      }\n    }\n\n    $(this.element).trigger(hideEvent)\n\n    if (hideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    $(tip).removeClass(ClassName.SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      $(document.body).children().off('mouseover', null, $.noop)\n    }\n\n    this._activeTrigger[Trigger.CLICK] = false\n    this._activeTrigger[Trigger.FOCUS] = false\n    this._activeTrigger[Trigger.HOVER] = false\n\n    if ($(this.tip).hasClass(ClassName.FADE)) {\n      const transitionDuration = Util.getTransitionDurationFromElement(tip)\n\n      $(tip)\n        .one(Util.TRANSITION_END, complete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      complete()\n    }\n\n    this._hoverState = ''\n  }\n\n  update() {\n    if (this._popper !== null) {\n      this._popper.scheduleUpdate()\n    }\n  }\n\n  // Protected\n\n  isWithContent() {\n    return Boolean(this.getTitle())\n  }\n\n  addAttachmentClass(attachment) {\n    $(this.getTipElement()).addClass(`${CLASS_PREFIX}-${attachment}`)\n  }\n\n  getTipElement() {\n    this.tip = this.tip || $(this.config.template)[0]\n    return this.tip\n  }\n\n  setContent() {\n    const tip = this.getTipElement()\n    this.setElementContent($(tip.querySelectorAll(Selector.TOOLTIP_INNER)), this.getTitle())\n    $(tip).removeClass(`${ClassName.FADE} ${ClassName.SHOW}`)\n  }\n\n  setElementContent($element, content) {\n    if (typeof content === 'object' && (content.nodeType || content.jquery)) {\n      // Content is a DOM node or a jQuery\n      if (this.config.html) {\n        if (!$(content).parent().is($element)) {\n          $element.empty().append(content)\n        }\n      } else {\n        $element.text($(content).text())\n      }\n\n      return\n    }\n\n    if (this.config.html) {\n      if (this.config.sanitize) {\n        content = sanitizeHtml(content, this.config.whiteList, this.config.sanitizeFn)\n      }\n\n      $element.html(content)\n    } else {\n      $element.text(content)\n    }\n  }\n\n  getTitle() {\n    let title = this.element.getAttribute('data-original-title')\n\n    if (!title) {\n      title = typeof this.config.title === 'function'\n        ? this.config.title.call(this.element)\n        : this.config.title\n    }\n\n    return title\n  }\n\n  // Private\n\n  _getPopperConfig(attachment) {\n    const defaultBsConfig = {\n      placement: attachment,\n      modifiers: {\n        offset: this._getOffset(),\n        flip: {\n          behavior: this.config.fallbackPlacement\n        },\n        arrow: {\n          element: Selector.ARROW\n        },\n        preventOverflow: {\n          boundariesElement: this.config.boundary\n        }\n      },\n      onCreate: (data) => {\n        if (data.originalPlacement !== data.placement) {\n          this._handlePopperPlacementChange(data)\n        }\n      },\n      onUpdate: (data) => this._handlePopperPlacementChange(data)\n    }\n\n    return {\n      ...defaultBsConfig,\n      ...this.config.popperConfig\n    }\n  }\n\n  _getOffset() {\n    const offset = {}\n\n    if (typeof this.config.offset === 'function') {\n      offset.fn = (data) => {\n        data.offsets = {\n          ...data.offsets,\n          ...this.config.offset(data.offsets, this.element) || {}\n        }\n\n        return data\n      }\n    } else {\n      offset.offset = this.config.offset\n    }\n\n    return offset\n  }\n\n  _getContainer() {\n    if (this.config.container === false) {\n      return document.body\n    }\n\n    if (Util.isElement(this.config.container)) {\n      return $(this.config.container)\n    }\n\n    return $(document).find(this.config.container)\n  }\n\n  _getAttachment(placement) {\n    return AttachmentMap[placement.toUpperCase()]\n  }\n\n  _setListeners() {\n    const triggers = this.config.trigger.split(' ')\n\n    triggers.forEach((trigger) => {\n      if (trigger === 'click') {\n        $(this.element).on(\n          this.constructor.Event.CLICK,\n          this.config.selector,\n          (event) => this.toggle(event)\n        )\n      } else if (trigger !== Trigger.MANUAL) {\n        const eventIn = trigger === Trigger.HOVER\n          ? this.constructor.Event.MOUSEENTER\n          : this.constructor.Event.FOCUSIN\n        const eventOut = trigger === Trigger.HOVER\n          ? this.constructor.Event.MOUSELEAVE\n          : this.constructor.Event.FOCUSOUT\n\n        $(this.element)\n          .on(\n            eventIn,\n            this.config.selector,\n            (event) => this._enter(event)\n          )\n          .on(\n            eventOut,\n            this.config.selector,\n            (event) => this._leave(event)\n          )\n      }\n    })\n\n    this._hideModalHandler = () => {\n      if (this.element) {\n        this.hide()\n      }\n    }\n\n    $(this.element).closest('.modal').on(\n      'hide.bs.modal',\n      this._hideModalHandler\n    )\n\n    if (this.config.selector) {\n      this.config = {\n        ...this.config,\n        trigger: 'manual',\n        selector: ''\n      }\n    } else {\n      this._fixTitle()\n    }\n  }\n\n  _fixTitle() {\n    const titleType = typeof this.element.getAttribute('data-original-title')\n\n    if (this.element.getAttribute('title') || titleType !== 'string') {\n      this.element.setAttribute(\n        'data-original-title',\n        this.element.getAttribute('title') || ''\n      )\n\n      this.element.setAttribute('title', '')\n    }\n  }\n\n  _enter(event, context) {\n    const dataKey = this.constructor.DATA_KEY\n    context = context || $(event.currentTarget).data(dataKey)\n\n    if (!context) {\n      context = new this.constructor(\n        event.currentTarget,\n        this._getDelegateConfig()\n      )\n      $(event.currentTarget).data(dataKey, context)\n    }\n\n    if (event) {\n      context._activeTrigger[\n        event.type === 'focusin' ? Trigger.FOCUS : Trigger.HOVER\n      ] = true\n    }\n\n    if ($(context.getTipElement()).hasClass(ClassName.SHOW) || context._hoverState === HoverState.SHOW) {\n      context._hoverState = HoverState.SHOW\n      return\n    }\n\n    clearTimeout(context._timeout)\n\n    context._hoverState = HoverState.SHOW\n\n    if (!context.config.delay || !context.config.delay.show) {\n      context.show()\n      return\n    }\n\n    context._timeout = setTimeout(() => {\n      if (context._hoverState === HoverState.SHOW) {\n        context.show()\n      }\n    }, context.config.delay.show)\n  }\n\n  _leave(event, context) {\n    const dataKey = this.constructor.DATA_KEY\n    context = context || $(event.currentTarget).data(dataKey)\n\n    if (!context) {\n      context = new this.constructor(\n        event.currentTarget,\n        this._getDelegateConfig()\n      )\n      $(event.currentTarget).data(dataKey, context)\n    }\n\n    if (event) {\n      context._activeTrigger[\n        event.type === 'focusout' ? Trigger.FOCUS : Trigger.HOVER\n      ] = false\n    }\n\n    if (context._isWithActiveTrigger()) {\n      return\n    }\n\n    clearTimeout(context._timeout)\n\n    context._hoverState = HoverState.OUT\n\n    if (!context.config.delay || !context.config.delay.hide) {\n      context.hide()\n      return\n    }\n\n    context._timeout = setTimeout(() => {\n      if (context._hoverState === HoverState.OUT) {\n        context.hide()\n      }\n    }, context.config.delay.hide)\n  }\n\n  _isWithActiveTrigger() {\n    for (const trigger in this._activeTrigger) {\n      if (this._activeTrigger[trigger]) {\n        return true\n      }\n    }\n\n    return false\n  }\n\n  _getConfig(config) {\n    const dataAttributes = $(this.element).data()\n\n    Object.keys(dataAttributes)\n      .forEach((dataAttr) => {\n        if (DISALLOWED_ATTRIBUTES.indexOf(dataAttr) !== -1) {\n          delete dataAttributes[dataAttr]\n        }\n      })\n\n    config = {\n      ...this.constructor.Default,\n      ...dataAttributes,\n      ...typeof config === 'object' && config ? config : {}\n    }\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    Util.typeCheckConfig(\n      NAME,\n      config,\n      this.constructor.DefaultType\n    )\n\n    if (config.sanitize) {\n      config.template = sanitizeHtml(config.template, config.whiteList, config.sanitizeFn)\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    if (this.config) {\n      for (const key in this.config) {\n        if (this.constructor.Default[key] !== this.config[key]) {\n          config[key] = this.config[key]\n        }\n      }\n    }\n\n    return config\n  }\n\n  _cleanTipClass() {\n    const $tip = $(this.getTipElement())\n    const tabClass = $tip.attr('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length) {\n      $tip.removeClass(tabClass.join(''))\n    }\n  }\n\n  _handlePopperPlacementChange(popperData) {\n    const popperInstance = popperData.instance\n    this.tip = popperInstance.popper\n    this._cleanTipClass()\n    this.addAttachmentClass(this._getAttachment(popperData.placement))\n  }\n\n  _fixTransition() {\n    const tip = this.getTipElement()\n    const initConfigAnimation = this.config.animation\n\n    if (tip.getAttribute('x-placement') !== null) {\n      return\n    }\n\n    $(tip).removeClass(ClassName.FADE)\n    this.config.animation = false\n    this.hide()\n    this.show()\n    this.config.animation = initConfigAnimation\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      const _config = typeof config === 'object' && config\n\n      if (!data && /dispose|hide/.test(config)) {\n        return\n      }\n\n      if (!data) {\n        data = new Tooltip(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Tooltip._jQueryInterface\n$.fn[NAME].Constructor = Tooltip\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Tooltip._jQueryInterface\n}\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Tooltip from './tooltip'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME                = 'popover'\nconst VERSION             = '4.4.1'\nconst DATA_KEY            = 'bs.popover'\nconst EVENT_KEY           = `.${DATA_KEY}`\nconst JQUERY_NO_CONFLICT  = $.fn[NAME]\nconst CLASS_PREFIX        = 'bs-popover'\nconst BSCLS_PREFIX_REGEX  = new RegExp(`(^|\\\\s)${CLASS_PREFIX}\\\\S+`, 'g')\n\nconst Default = {\n  ...Tooltip.Default,\n  placement : 'right',\n  trigger   : 'click',\n  content   : '',\n  template  : '<div class=\"popover\" role=\"tooltip\">' +\n              '<div class=\"arrow\"></div>' +\n              '<h3 class=\"popover-header\"></h3>' +\n              '<div class=\"popover-body\"></div></div>'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content : '(string|element|function)'\n}\n\nconst ClassName = {\n  FADE : 'fade',\n  SHOW : 'show'\n}\n\nconst Selector = {\n  TITLE   : '.popover-header',\n  CONTENT : '.popover-body'\n}\n\nconst Event = {\n  HIDE       : `hide${EVENT_KEY}`,\n  HIDDEN     : `hidden${EVENT_KEY}`,\n  SHOW       : `show${EVENT_KEY}`,\n  SHOWN      : `shown${EVENT_KEY}`,\n  INSERTED   : `inserted${EVENT_KEY}`,\n  CLICK      : `click${EVENT_KEY}`,\n  FOCUSIN    : `focusin${EVENT_KEY}`,\n  FOCUSOUT   : `focusout${EVENT_KEY}`,\n  MOUSEENTER : `mouseenter${EVENT_KEY}`,\n  MOUSELEAVE : `mouseleave${EVENT_KEY}`\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Popover extends Tooltip {\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  static get DATA_KEY() {\n    return DATA_KEY\n  }\n\n  static get Event() {\n    return Event\n  }\n\n  static get EVENT_KEY() {\n    return EVENT_KEY\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  // Overrides\n\n  isWithContent() {\n    return this.getTitle() || this._getContent()\n  }\n\n  addAttachmentClass(attachment) {\n    $(this.getTipElement()).addClass(`${CLASS_PREFIX}-${attachment}`)\n  }\n\n  getTipElement() {\n    this.tip = this.tip || $(this.config.template)[0]\n    return this.tip\n  }\n\n  setContent() {\n    const $tip = $(this.getTipElement())\n\n    // We use append for html objects to maintain js events\n    this.setElementContent($tip.find(Selector.TITLE), this.getTitle())\n    let content = this._getContent()\n    if (typeof content === 'function') {\n      content = content.call(this.element)\n    }\n    this.setElementContent($tip.find(Selector.CONTENT), content)\n\n    $tip.removeClass(`${ClassName.FADE} ${ClassName.SHOW}`)\n  }\n\n  // Private\n\n  _getContent() {\n    return this.element.getAttribute('data-content') ||\n      this.config.content\n  }\n\n  _cleanTipClass() {\n    const $tip = $(this.getTipElement())\n    const tabClass = $tip.attr('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length > 0) {\n      $tip.removeClass(tabClass.join(''))\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      const _config = typeof config === 'object' ? config : null\n\n      if (!data && /dispose|hide/.test(config)) {\n        return\n      }\n\n      if (!data) {\n        data = new Popover(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Popover._jQueryInterface\n$.fn[NAME].Constructor = Popover\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Popover._jQueryInterface\n}\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME               = 'scrollspy'\nconst VERSION            = '4.4.1'\nconst DATA_KEY           = 'bs.scrollspy'\nconst EVENT_KEY          = `.${DATA_KEY}`\nconst DATA_API_KEY       = '.data-api'\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\n\nconst Default = {\n  offset : 10,\n  method : 'auto',\n  target : ''\n}\n\nconst DefaultType = {\n  offset : 'number',\n  method : 'string',\n  target : '(string|element)'\n}\n\nconst Event = {\n  ACTIVATE      : `activate${EVENT_KEY}`,\n  SCROLL        : `scroll${EVENT_KEY}`,\n  LOAD_DATA_API : `load${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  DROPDOWN_ITEM : 'dropdown-item',\n  DROPDOWN_MENU : 'dropdown-menu',\n  ACTIVE        : 'active'\n}\n\nconst Selector = {\n  DATA_SPY        : '[data-spy=\"scroll\"]',\n  ACTIVE          : '.active',\n  NAV_LIST_GROUP  : '.nav, .list-group',\n  NAV_LINKS       : '.nav-link',\n  NAV_ITEMS       : '.nav-item',\n  LIST_ITEMS      : '.list-group-item',\n  DROPDOWN        : '.dropdown',\n  DROPDOWN_ITEMS  : '.dropdown-item',\n  DROPDOWN_TOGGLE : '.dropdown-toggle'\n}\n\nconst OffsetMethod = {\n  OFFSET   : 'offset',\n  POSITION : 'position'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass ScrollSpy {\n  constructor(element, config) {\n    this._element       = element\n    this._scrollElement = element.tagName === 'BODY' ? window : element\n    this._config        = this._getConfig(config)\n    this._selector      = `${this._config.target} ${Selector.NAV_LINKS},` +\n                          `${this._config.target} ${Selector.LIST_ITEMS},` +\n                          `${this._config.target} ${Selector.DROPDOWN_ITEMS}`\n    this._offsets       = []\n    this._targets       = []\n    this._activeTarget  = null\n    this._scrollHeight  = 0\n\n    $(this._scrollElement).on(Event.SCROLL, (event) => this._process(event))\n\n    this.refresh()\n    this._process()\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  refresh() {\n    const autoMethod = this._scrollElement === this._scrollElement.window\n      ? OffsetMethod.OFFSET : OffsetMethod.POSITION\n\n    const offsetMethod = this._config.method === 'auto'\n      ? autoMethod : this._config.method\n\n    const offsetBase = offsetMethod === OffsetMethod.POSITION\n      ? this._getScrollTop() : 0\n\n    this._offsets = []\n    this._targets = []\n\n    this._scrollHeight = this._getScrollHeight()\n\n    const targets = [].slice.call(document.querySelectorAll(this._selector))\n\n    targets\n      .map((element) => {\n        let target\n        const targetSelector = Util.getSelectorFromElement(element)\n\n        if (targetSelector) {\n          target = document.querySelector(targetSelector)\n        }\n\n        if (target) {\n          const targetBCR = target.getBoundingClientRect()\n          if (targetBCR.width || targetBCR.height) {\n            // TODO (fat): remove sketch reliance on jQuery position/offset\n            return [\n              $(target)[offsetMethod]().top + offsetBase,\n              targetSelector\n            ]\n          }\n        }\n        return null\n      })\n      .filter((item) => item)\n      .sort((a, b) => a[0] - b[0])\n      .forEach((item) => {\n        this._offsets.push(item[0])\n        this._targets.push(item[1])\n      })\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n    $(this._scrollElement).off(EVENT_KEY)\n\n    this._element       = null\n    this._scrollElement = null\n    this._config        = null\n    this._selector      = null\n    this._offsets       = null\n    this._targets       = null\n    this._activeTarget  = null\n    this._scrollHeight  = null\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...typeof config === 'object' && config ? config : {}\n    }\n\n    if (typeof config.target !== 'string') {\n      let id = $(config.target).attr('id')\n      if (!id) {\n        id = Util.getUID(NAME)\n        $(config.target).attr('id', id)\n      }\n      config.target = `#${id}`\n    }\n\n    Util.typeCheckConfig(NAME, config, DefaultType)\n\n    return config\n  }\n\n  _getScrollTop() {\n    return this._scrollElement === window\n      ? this._scrollElement.pageYOffset : this._scrollElement.scrollTop\n  }\n\n  _getScrollHeight() {\n    return this._scrollElement.scrollHeight || Math.max(\n      document.body.scrollHeight,\n      document.documentElement.scrollHeight\n    )\n  }\n\n  _getOffsetHeight() {\n    return this._scrollElement === window\n      ? window.innerHeight : this._scrollElement.getBoundingClientRect().height\n  }\n\n  _process() {\n    const scrollTop    = this._getScrollTop() + this._config.offset\n    const scrollHeight = this._getScrollHeight()\n    const maxScroll    = this._config.offset +\n      scrollHeight -\n      this._getOffsetHeight()\n\n    if (this._scrollHeight !== scrollHeight) {\n      this.refresh()\n    }\n\n    if (scrollTop >= maxScroll) {\n      const target = this._targets[this._targets.length - 1]\n\n      if (this._activeTarget !== target) {\n        this._activate(target)\n      }\n      return\n    }\n\n    if (this._activeTarget && scrollTop < this._offsets[0] && this._offsets[0] > 0) {\n      this._activeTarget = null\n      this._clear()\n      return\n    }\n\n    const offsetLength = this._offsets.length\n    for (let i = offsetLength; i--;) {\n      const isActiveTarget = this._activeTarget !== this._targets[i] &&\n          scrollTop >= this._offsets[i] &&\n          (typeof this._offsets[i + 1] === 'undefined' ||\n              scrollTop < this._offsets[i + 1])\n\n      if (isActiveTarget) {\n        this._activate(this._targets[i])\n      }\n    }\n  }\n\n  _activate(target) {\n    this._activeTarget = target\n\n    this._clear()\n\n    const queries = this._selector\n      .split(',')\n      .map((selector) => `${selector}[data-target=\"${target}\"],${selector}[href=\"${target}\"]`)\n\n    const $link = $([].slice.call(document.querySelectorAll(queries.join(','))))\n\n    if ($link.hasClass(ClassName.DROPDOWN_ITEM)) {\n      $link.closest(Selector.DROPDOWN).find(Selector.DROPDOWN_TOGGLE).addClass(ClassName.ACTIVE)\n      $link.addClass(ClassName.ACTIVE)\n    } else {\n      // Set triggered link as active\n      $link.addClass(ClassName.ACTIVE)\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      $link.parents(Selector.NAV_LIST_GROUP).prev(`${Selector.NAV_LINKS}, ${Selector.LIST_ITEMS}`).addClass(ClassName.ACTIVE)\n      // Handle special case when .nav-link is inside .nav-item\n      $link.parents(Selector.NAV_LIST_GROUP).prev(Selector.NAV_ITEMS).children(Selector.NAV_LINKS).addClass(ClassName.ACTIVE)\n    }\n\n    $(this._scrollElement).trigger(Event.ACTIVATE, {\n      relatedTarget: target\n    })\n  }\n\n  _clear() {\n    [].slice.call(document.querySelectorAll(this._selector))\n      .filter((node) => node.classList.contains(ClassName.ACTIVE))\n      .forEach((node) => node.classList.remove(ClassName.ACTIVE))\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      let data = $(this).data(DATA_KEY)\n      const _config = typeof config === 'object' && config\n\n      if (!data) {\n        data = new ScrollSpy(this, _config)\n        $(this).data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(window).on(Event.LOAD_DATA_API, () => {\n  const scrollSpys = [].slice.call(document.querySelectorAll(Selector.DATA_SPY))\n  const scrollSpysLength = scrollSpys.length\n\n  for (let i = scrollSpysLength; i--;) {\n    const $spy = $(scrollSpys[i])\n    ScrollSpy._jQueryInterface.call($spy, $spy.data())\n  }\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = ScrollSpy._jQueryInterface\n$.fn[NAME].Constructor = ScrollSpy\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return ScrollSpy._jQueryInterface\n}\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME               = 'tab'\nconst VERSION            = '4.4.1'\nconst DATA_KEY           = 'bs.tab'\nconst EVENT_KEY          = `.${DATA_KEY}`\nconst DATA_API_KEY       = '.data-api'\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\n\nconst Event = {\n  HIDE           : `hide${EVENT_KEY}`,\n  HIDDEN         : `hidden${EVENT_KEY}`,\n  SHOW           : `show${EVENT_KEY}`,\n  SHOWN          : `shown${EVENT_KEY}`,\n  CLICK_DATA_API : `click${EVENT_KEY}${DATA_API_KEY}`\n}\n\nconst ClassName = {\n  DROPDOWN_MENU : 'dropdown-menu',\n  ACTIVE        : 'active',\n  DISABLED      : 'disabled',\n  FADE          : 'fade',\n  SHOW          : 'show'\n}\n\nconst Selector = {\n  DROPDOWN              : '.dropdown',\n  NAV_LIST_GROUP        : '.nav, .list-group',\n  ACTIVE                : '.active',\n  ACTIVE_UL             : '> li > .active',\n  DATA_TOGGLE           : '[data-toggle=\"tab\"], [data-toggle=\"pill\"], [data-toggle=\"list\"]',\n  DROPDOWN_TOGGLE       : '.dropdown-toggle',\n  DROPDOWN_ACTIVE_CHILD : '> .dropdown-menu .active'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Tab {\n  constructor(element) {\n    this._element = element\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  // Public\n\n  show() {\n    if (this._element.parentNode &&\n        this._element.parentNode.nodeType === Node.ELEMENT_NODE &&\n        $(this._element).hasClass(ClassName.ACTIVE) ||\n        $(this._element).hasClass(ClassName.DISABLED)) {\n      return\n    }\n\n    let target\n    let previous\n    const listElement = $(this._element).closest(Selector.NAV_LIST_GROUP)[0]\n    const selector = Util.getSelectorFromElement(this._element)\n\n    if (listElement) {\n      const itemSelector = listElement.nodeName === 'UL' || listElement.nodeName === 'OL' ? Selector.ACTIVE_UL : Selector.ACTIVE\n      previous = $.makeArray($(listElement).find(itemSelector))\n      previous = previous[previous.length - 1]\n    }\n\n    const hideEvent = $.Event(Event.HIDE, {\n      relatedTarget: this._element\n    })\n\n    const showEvent = $.Event(Event.SHOW, {\n      relatedTarget: previous\n    })\n\n    if (previous) {\n      $(previous).trigger(hideEvent)\n    }\n\n    $(this._element).trigger(showEvent)\n\n    if (showEvent.isDefaultPrevented() ||\n        hideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    if (selector) {\n      target = document.querySelector(selector)\n    }\n\n    this._activate(\n      this._element,\n      listElement\n    )\n\n    const complete = () => {\n      const hiddenEvent = $.Event(Event.HIDDEN, {\n        relatedTarget: this._element\n      })\n\n      const shownEvent = $.Event(Event.SHOWN, {\n        relatedTarget: previous\n      })\n\n      $(previous).trigger(hiddenEvent)\n      $(this._element).trigger(shownEvent)\n    }\n\n    if (target) {\n      this._activate(target, target.parentNode, complete)\n    } else {\n      complete()\n    }\n  }\n\n  dispose() {\n    $.removeData(this._element, DATA_KEY)\n    this._element = null\n  }\n\n  // Private\n\n  _activate(element, container, callback) {\n    const activeElements = container && (container.nodeName === 'UL' || container.nodeName === 'OL')\n      ? $(container).find(Selector.ACTIVE_UL)\n      : $(container).children(Selector.ACTIVE)\n\n    const active = activeElements[0]\n    const isTransitioning = callback && (active && $(active).hasClass(ClassName.FADE))\n    const complete = () => this._transitionComplete(\n      element,\n      active,\n      callback\n    )\n\n    if (active && isTransitioning) {\n      const transitionDuration = Util.getTransitionDurationFromElement(active)\n\n      $(active)\n        .removeClass(ClassName.SHOW)\n        .one(Util.TRANSITION_END, complete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      complete()\n    }\n  }\n\n  _transitionComplete(element, active, callback) {\n    if (active) {\n      $(active).removeClass(ClassName.ACTIVE)\n\n      const dropdownChild = $(active.parentNode).find(\n        Selector.DROPDOWN_ACTIVE_CHILD\n      )[0]\n\n      if (dropdownChild) {\n        $(dropdownChild).removeClass(ClassName.ACTIVE)\n      }\n\n      if (active.getAttribute('role') === 'tab') {\n        active.setAttribute('aria-selected', false)\n      }\n    }\n\n    $(element).addClass(ClassName.ACTIVE)\n    if (element.getAttribute('role') === 'tab') {\n      element.setAttribute('aria-selected', true)\n    }\n\n    Util.reflow(element)\n\n    if (element.classList.contains(ClassName.FADE)) {\n      element.classList.add(ClassName.SHOW)\n    }\n\n    if (element.parentNode && $(element.parentNode).hasClass(ClassName.DROPDOWN_MENU)) {\n      const dropdownElement = $(element).closest(Selector.DROPDOWN)[0]\n\n      if (dropdownElement) {\n        const dropdownToggleList = [].slice.call(dropdownElement.querySelectorAll(Selector.DROPDOWN_TOGGLE))\n\n        $(dropdownToggleList).addClass(ClassName.ACTIVE)\n      }\n\n      element.setAttribute('aria-expanded', true)\n    }\n\n    if (callback) {\n      callback()\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      const $this = $(this)\n      let data = $this.data(DATA_KEY)\n\n      if (!data) {\n        data = new Tab(this)\n        $this.data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\n$(document)\n  .on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {\n    event.preventDefault()\n    Tab._jQueryInterface.call($(this), 'show')\n  })\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME] = Tab._jQueryInterface\n$.fn[NAME].Constructor = Tab\n$.fn[NAME].noConflict = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Tab._jQueryInterface\n}\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v4.4.1): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport $ from 'jquery'\nimport Util from './util'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME               = 'toast'\nconst VERSION            = '4.4.1'\nconst DATA_KEY           = 'bs.toast'\nconst EVENT_KEY          = `.${DATA_KEY}`\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\n\nconst Event = {\n  CLICK_DISMISS : `click.dismiss${EVENT_KEY}`,\n  HIDE          : `hide${EVENT_KEY}`,\n  HIDDEN        : `hidden${EVENT_KEY}`,\n  SHOW          : `show${EVENT_KEY}`,\n  SHOWN         : `shown${EVENT_KEY}`\n}\n\nconst ClassName = {\n  FADE    : 'fade',\n  HIDE    : 'hide',\n  SHOW    : 'show',\n  SHOWING : 'showing'\n}\n\nconst DefaultType = {\n  animation : 'boolean',\n  autohide  : 'boolean',\n  delay     : 'number'\n}\n\nconst Default = {\n  animation : true,\n  autohide  : true,\n  delay     : 500\n}\n\nconst Selector = {\n  DATA_DISMISS : '[data-dismiss=\"toast\"]'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Toast {\n  constructor(element, config) {\n    this._element = element\n    this._config  = this._getConfig(config)\n    this._timeout = null\n    this._setListeners()\n  }\n\n  // Getters\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  show() {\n    const showEvent = $.Event(Event.SHOW)\n\n    $(this._element).trigger(showEvent)\n    if (showEvent.isDefaultPrevented()) {\n      return\n    }\n\n    if (this._config.animation) {\n      this._element.classList.add(ClassName.FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(ClassName.SHOWING)\n      this._element.classList.add(ClassName.SHOW)\n\n      $(this._element).trigger(Event.SHOWN)\n\n      if (this._config.autohide) {\n        this._timeout = setTimeout(() => {\n          this.hide()\n        }, this._config.delay)\n      }\n    }\n\n    this._element.classList.remove(ClassName.HIDE)\n    Util.reflow(this._element)\n    this._element.classList.add(ClassName.SHOWING)\n    if (this._config.animation) {\n      const transitionDuration = Util.getTransitionDurationFromElement(this._element)\n\n      $(this._element)\n        .one(Util.TRANSITION_END, complete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      complete()\n    }\n  }\n\n  hide() {\n    if (!this._element.classList.contains(ClassName.SHOW)) {\n      return\n    }\n\n    const hideEvent = $.Event(Event.HIDE)\n\n    $(this._element).trigger(hideEvent)\n    if (hideEvent.isDefaultPrevented()) {\n      return\n    }\n\n    this._close()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n\n    if (this._element.classList.contains(ClassName.SHOW)) {\n      this._element.classList.remove(ClassName.SHOW)\n    }\n\n    $(this._element).off(Event.CLICK_DISMISS)\n\n    $.removeData(this._element, DATA_KEY)\n    this._element = null\n    this._config  = null\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...$(this._element).data(),\n      ...typeof config === 'object' && config ? config : {}\n    }\n\n    Util.typeCheckConfig(\n      NAME,\n      config,\n      this.constructor.DefaultType\n    )\n\n    return config\n  }\n\n  _setListeners() {\n    $(this._element).on(\n      Event.CLICK_DISMISS,\n      Selector.DATA_DISMISS,\n      () => this.hide()\n    )\n  }\n\n  _close() {\n    const complete = () => {\n      this._element.classList.add(ClassName.HIDE)\n      $(this._element).trigger(Event.HIDDEN)\n    }\n\n    this._element.classList.remove(ClassName.SHOW)\n    if (this._config.animation) {\n      const transitionDuration = Util.getTransitionDurationFromElement(this._element)\n\n      $(this._element)\n        .one(Util.TRANSITION_END, complete)\n        .emulateTransitionEnd(transitionDuration)\n    } else {\n      complete()\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    return this.each(function () {\n      const $element = $(this)\n      let data       = $element.data(DATA_KEY)\n      const _config  = typeof config === 'object' && config\n\n      if (!data) {\n        data = new Toast(this, _config)\n        $element.data(DATA_KEY, data)\n      }\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\n$.fn[NAME]             = Toast._jQueryInterface\n$.fn[NAME].Constructor = Toast\n$.fn[NAME].noConflict  = () => {\n  $.fn[NAME] = JQUERY_NO_CONFLICT\n  return Toast._jQueryInterface\n}\n\nexport default Toast\n"]}
\ No newline at end of file
+{"version":3,"sources":["../../js/src/dom/selector-engine.js","../../js/src/util/index.js","../../js/src/dom/event-handler.js","../../js/src/dom/data.js","../../js/src/base-component.js","../../js/src/alert.js","../../js/src/button.js","../../js/src/dom/manipulator.js","../../js/src/carousel.js","../../js/src/collapse.js","../../node_modules/@popperjs/core/lib/enums.js","../../node_modules/@popperjs/core/lib/dom-utils/getNodeName.js","../../node_modules/@popperjs/core/lib/dom-utils/getWindow.js","../../node_modules/@popperjs/core/lib/dom-utils/instanceOf.js","../../node_modules/@popperjs/core/lib/modifiers/applyStyles.js","../../node_modules/@popperjs/core/lib/utils/getBasePlacement.js","../../node_modules/@popperjs/core/lib/dom-utils/getBoundingClientRect.js","../../node_modules/@popperjs/core/lib/dom-utils/getLayoutRect.js","../../node_modules/@popperjs/core/lib/dom-utils/contains.js","../../node_modules/@popperjs/core/lib/dom-utils/getComputedStyle.js","../../node_modules/@popperjs/core/lib/dom-utils/isTableElement.js","../../node_modules/@popperjs/core/lib/dom-utils/getDocumentElement.js","../../node_modules/@popperjs/core/lib/dom-utils/getParentNode.js","../../node_modules/@popperjs/core/lib/dom-utils/getOffsetParent.js","../../node_modules/@popperjs/core/lib/utils/getMainAxisFromPlacement.js","../../node_modules/@popperjs/core/lib/utils/math.js","../../node_modules/@popperjs/core/lib/utils/within.js","../../node_modules/@popperjs/core/lib/utils/mergePaddingObject.js","../../node_modules/@popperjs/core/lib/utils/getFreshSideObject.js","../../node_modules/@popperjs/core/lib/utils/expandToHashMap.js","../../node_modules/@popperjs/core/lib/modifiers/arrow.js","../../node_modules/@popperjs/core/lib/modifiers/computeStyles.js","../../node_modules/@popperjs/core/lib/modifiers/eventListeners.js","../../node_modules/@popperjs/core/lib/utils/getOppositePlacement.js","../../node_modules/@popperjs/core/lib/utils/getOppositeVariationPlacement.js","../../node_modules/@popperjs/core/lib/dom-utils/getWindowScroll.js","../../node_modules/@popperjs/core/lib/dom-utils/getWindowScrollBarX.js","../../node_modules/@popperjs/core/lib/dom-utils/isScrollParent.js","../../node_modules/@popperjs/core/lib/dom-utils/listScrollParents.js","../../node_modules/@popperjs/core/lib/dom-utils/getScrollParent.js","../../node_modules/@popperjs/core/lib/utils/rectToClientRect.js","../../node_modules/@popperjs/core/lib/dom-utils/getClippingRect.js","../../node_modules/@popperjs/core/lib/dom-utils/getViewportRect.js","../../node_modules/@popperjs/core/lib/dom-utils/getDocumentRect.js","../../node_modules/@popperjs/core/lib/utils/getVariation.js","../../node_modules/@popperjs/core/lib/utils/computeOffsets.js","../../node_modules/@popperjs/core/lib/utils/detectOverflow.js","../../node_modules/@popperjs/core/lib/utils/computeAutoPlacement.js","../../node_modules/@popperjs/core/lib/modifiers/flip.js","../../node_modules/@popperjs/core/lib/modifiers/hide.js","../../node_modules/@popperjs/core/lib/modifiers/offset.js","../../node_modules/@popperjs/core/lib/modifiers/popperOffsets.js","../../node_modules/@popperjs/core/lib/modifiers/preventOverflow.js","../../node_modules/@popperjs/core/lib/utils/getAltAxis.js","../../node_modules/@popperjs/core/lib/dom-utils/getCompositeRect.js","../../node_modules/@popperjs/core/lib/dom-utils/getNodeScroll.js","../../node_modules/@popperjs/core/lib/dom-utils/getHTMLElementScroll.js","../../node_modules/@popperjs/core/lib/createPopper.js","../../node_modules/@popperjs/core/lib/utils/debounce.js","../../node_modules/@popperjs/core/lib/utils/mergeByName.js","../../node_modules/@popperjs/core/lib/utils/orderModifiers.js","../../node_modules/@popperjs/core/lib/popper-lite.js","../../node_modules/@popperjs/core/lib/popper.js","../../js/src/dropdown.js","../../js/src/util/scrollbar.js","../../js/src/util/backdrop.js","../../js/src/modal.js","../../js/src/offcanvas.js","../../js/src/util/sanitizer.js","../../js/src/tooltip.js","../../js/src/popover.js","../../js/src/scrollspy.js","../../js/src/tab.js","../../js/src/toast.js","../../js/index.umd.js"],"names":["SelectorEngine","find","selector","element","document","documentElement","concat","Element","prototype","querySelectorAll","call","findOne","querySelector","children","filter","child","matches","parents","ancestor","parentNode","nodeType","Node","ELEMENT_NODE","push","prev","previous","previousElementSibling","next","nextElementSibling","getUID","prefix","Math","floor","random","getElementById","getSelector","getAttribute","hrefAttr","includes","startsWith","split","trim","getSelectorFromElement","getElementFromSelector","triggerTransitionEnd","dispatchEvent","Event","isElement","obj","jquery","getElement","length","typeCheckConfig","componentName","config","configTypes","Object","keys","forEach","property","expectedTypes","value","valueType","toString","match","toLowerCase","RegExp","test","TypeError","toUpperCase","isVisible","getClientRects","getComputedStyle","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ancestor = element.parentNode\n\n    while (ancestor && ancestor.nodeType === Node.ELEMENT_NODE && ancestor.nodeType !== NODE_TEXT) {\n      if (ancestor.matches(selector)) {\n        parents.push(ancestor)\n      }\n\n      ancestor = ancestor.parentNode\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  }\n}\n\nexport default SelectorEngine\n","import SelectorEngine from '../dom/selector-engine'\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000\nconst MILLISECONDS_MULTIPLIER = 1000\nconst TRANSITION_END = 'transitionend'\n\n// Shoutout AngusCroll (https://goo.gl/pxwQGp)\nconst toType = obj => {\n  if (obj === null || obj === undefined) {\n    return `${obj}`\n  }\n\n  return {}.toString.call(obj).match(/\\s([a-z]+)/i)[1].toLowerCase()\n}\n\n/**\n * --------------------------------------------------------------------------\n * Public Util Api\n * --------------------------------------------------------------------------\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID)\n  } while (document.getElementById(prefix))\n\n  return prefix\n}\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target')\n\n  if (!selector || selector === '#') {\n    let hrefAttr = element.getAttribute('href')\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttr || (!hrefAttr.includes('#') && !hrefAttr.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttr.includes('#') && !hrefAttr.startsWith('#')) {\n      hrefAttr = `#${hrefAttr.split('#')[1]}`\n    }\n\n    selector = hrefAttr && hrefAttr !== '#' ? hrefAttr.trim() : null\n  }\n\n  return selector\n}\n\nconst getSelectorFromElement = element => {\n  const selector = getSelector(element)\n\n  if (selector) {\n    return document.querySelector(selector) ? selector : null\n  }\n\n  return null\n}\n\nconst getElementFromSelector = element => {\n  const selector = getSelector(element)\n\n  return selector ? document.querySelector(selector) : null\n}\n\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0\n  }\n\n  // Get transition-duration of the element\n  let { transitionDuration, transitionDelay } = window.getComputedStyle(element)\n\n  const floatTransitionDuration = Number.parseFloat(transitionDuration)\n  const floatTransitionDelay = Number.parseFloat(transitionDelay)\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0]\n  transitionDelay = transitionDelay.split(',')[0]\n\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n}\n\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END))\n}\n\nconst isElement = obj => {\n  if (!obj || typeof obj !== 'object') {\n    return false\n  }\n\n  if (typeof obj.jquery !== 'undefined') {\n    obj = obj[0]\n  }\n\n  return typeof obj.nodeType !== 'undefined'\n}\n\nconst getElement = obj => {\n  if (isElement(obj)) { // it's a jQuery object or a node element\n    return obj.jquery ? obj[0] : obj\n  }\n\n  if (typeof obj === 'string' && obj.length > 0) {\n    return SelectorEngine.findOne(obj)\n  }\n\n  return null\n}\n\nconst typeCheckConfig = (componentName, config, configTypes) => {\n  Object.keys(configTypes).forEach(property => {\n    const expectedTypes = configTypes[property]\n    const value = config[property]\n    const valueType = value && isElement(value) ? 'element' : toType(value)\n\n    if (!new RegExp(expectedTypes).test(valueType)) {\n      throw new TypeError(\n        `${componentName.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n      )\n    }\n  })\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  return getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\nconst reflow = element => element.offsetHeight\n\nconst getjQuery = () => {\n  const { jQuery } = window\n\n  if (jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        DOMContentLoadedCallbacks.forEach(callback => callback())\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = callback => {\n  if (typeof callback === 'function') {\n    callback()\n  }\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return list[!shouldGetNext && isCycleAllowed ? list.length - 1 : 0]\n  }\n\n  const listLength = list.length\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  getElement,\n  getUID,\n  getSelectorFromElement,\n  getElementFromSelector,\n  getTransitionDurationFromElement,\n  triggerTransitionEnd,\n  isElement,\n  typeCheckConfig,\n  isVisible,\n  isDisabled,\n  findShadowRoot,\n  noop,\n  getNextActiveElement,\n  reflow,\n  getjQuery,\n  onDOMContentLoaded,\n  isRTL,\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\nconst customEventsRegex = /^(mouseenter|mouseleave)/i\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * ------------------------------------------------------------------------\n * Private methods\n * ------------------------------------------------------------------------\n */\n\nfunction getUidEvent(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getEvent(element) {\n  const uid = getUidEvent(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    event.delegateTarget = element\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (let i = domElements.length; i--;) {\n        if (domElements[i] === target) {\n          event.delegateTarget = target\n\n          if (handler.oneOff) {\n            // eslint-disable-next-line unicorn/consistent-destructuring\n            EventHandler.off(element, event.type, selector, fn)\n          }\n\n          return fn.apply(target, [event])\n        }\n      }\n    }\n\n    // To please ESLint\n    return null\n  }\n}\n\nfunction findHandler(events, handler, delegationSelector = null) {\n  const uidEventList = Object.keys(events)\n\n  for (let i = 0, len = uidEventList.length; i < len; i++) {\n    const event = events[uidEventList[i]]\n\n    if (event.originalHandler === handler && event.delegationSelector === delegationSelector) {\n      return event\n    }\n  }\n\n  return null\n}\n\nfunction normalizeParams(originalTypeEvent, handler, delegationFn) {\n  const delegation = typeof handler === 'string'\n  const originalHandler = delegation ? delegationFn : handler\n\n  let typeEvent = getTypeEvent(originalTypeEvent)\n  const isNative = nativeEvents.has(typeEvent)\n\n  if (!isNative) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [delegation, originalHandler, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFn, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  if (!handler) {\n    handler = delegationFn\n    delegationFn = null\n  }\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (customEventsRegex.test(originalTypeEvent)) {\n    const wrapFn = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    if (delegationFn) {\n      delegationFn = wrapFn(delegationFn)\n    } else {\n      handler = wrapFn(handler)\n    }\n  }\n\n  const [delegation, originalHandler, typeEvent] = normalizeParams(originalTypeEvent, handler, delegationFn)\n  const events = getEvent(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFn = findHandler(handlers, originalHandler, delegation ? handler : null)\n\n  if (previousFn) {\n    previousFn.oneOff = previousFn.oneOff && oneOff\n\n    return\n  }\n\n  const uid = getUidEvent(originalHandler, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = delegation ?\n    bootstrapDelegationHandler(element, handler, delegationFn) :\n    bootstrapHandler(element, handler)\n\n  fn.delegationSelector = delegation ? handler : null\n  fn.originalHandler = originalHandler\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, delegation)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  Object.keys(storeElementEvent).forEach(handlerKey => {\n    if (handlerKey.includes(namespace)) {\n      const event = storeElementEvent[handlerKey]\n\n      removeHandler(element, events, typeEvent, event.originalHandler, event.delegationSelector)\n    }\n  })\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFn) {\n    addHandler(element, event, handler, delegationFn, false)\n  },\n\n  one(element, event, handler, delegationFn) {\n    addHandler(element, event, handler, delegationFn, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFn) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [delegation, originalHandler, typeEvent] = normalizeParams(originalTypeEvent, handler, delegationFn)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getEvent(element)\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof originalHandler !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!events || !events[typeEvent]) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, originalHandler, delegation ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      Object.keys(events).forEach(elementEvent => {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      })\n    }\n\n    const storeElementEvent = events[typeEvent] || {}\n    Object.keys(storeElementEvent).forEach(keyHandlers => {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        const event = storeElementEvent[keyHandlers]\n\n        removeHandler(element, events, typeEvent, event.originalHandler, event.delegationSelector)\n      }\n    })\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n    const isNative = nativeEvents.has(typeEvent)\n\n    let jQueryEvent\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n    let evt = null\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    if (isNative) {\n      evt = document.createEvent('HTMLEvents')\n      evt.initEvent(typeEvent, bubbles, true)\n    } else {\n      evt = new CustomEvent(event, {\n        bubbles,\n        cancelable: true\n      })\n    }\n\n    // merge custom information in our event\n    if (typeof args !== 'undefined') {\n      Object.keys(args).forEach(key => {\n        Object.defineProperty(evt, key, {\n          get() {\n            return args[key]\n          }\n        })\n      })\n    }\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && typeof jQueryEvent !== 'undefined') {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst elementMap = new Map()\n\nexport default {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map())\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`)\n      return\n    }\n\n    instanceMap.set(key, instance)\n  },\n\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null\n    }\n\n    return null\n  },\n\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    instanceMap.delete(key)\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element)\n    }\n  }\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data'\nimport {\n  executeAfterTransition,\n  getElement\n} from './util/index'\nimport EventHandler from './dom/event-handler'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst VERSION = '5.0.2'\n\nclass BaseComponent {\n  constructor(element) {\n    element = getElement(element)\n\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    Object.getOwnPropertyNames(this).forEach(propertyName => {\n      this[propertyName] = null\n    })\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  /** Static */\n\n  static getInstance(element) {\n    return Data.get(element, this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst SELECTOR_DISMISS = '[data-bs-dismiss=\"alert\"]'\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_ALERT = 'alert'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  close(element) {\n    const rootElement = element ? this._getRootElement(element) : this._element\n    const customEvent = this._triggerCloseEvent(rootElement)\n\n    if (customEvent === null || customEvent.defaultPrevented) {\n      return\n    }\n\n    this._removeElement(rootElement)\n  }\n\n  // Private\n\n  _getRootElement(element) {\n    return getElementFromSelector(element) || element.closest(`.${CLASS_NAME_ALERT}`)\n  }\n\n  _triggerCloseEvent(element) {\n    return EventHandler.trigger(element, EVENT_CLOSE)\n  }\n\n  _removeElement(element) {\n    element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(element), element, isAnimated)\n  }\n\n  _destroyElement(element) {\n    element.remove()\n\n    EventHandler.trigger(element, EVENT_CLOSED)\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (config === 'close') {\n        data[config](this)\n      }\n    })\n  }\n\n  static handleDismiss(alertInstance) {\n    return function (event) {\n      if (event) {\n        event.preventDefault()\n      }\n\n      alertInstance.close(this)\n    }\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DISMISS, Alert.handleDismiss(new Alert()))\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Alert to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\n\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Button extends BaseComponent {\n  // Getters\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Button to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(val) {\n  if (val === 'true') {\n    return true\n  }\n\n  if (val === 'false') {\n    return false\n  }\n\n  if (val === Number(val).toString()) {\n    return Number(val)\n  }\n\n  if (val === '' || val === 'null') {\n    return null\n  }\n\n  return val\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n\n    Object.keys(element.dataset)\n      .filter(key => key.startsWith('bs'))\n      .forEach(key => {\n        let pureKey = key.replace(/^bs/, '')\n        pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n        attributes[pureKey] = normalizeData(element.dataset[key])\n      })\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  },\n\n  offset(element) {\n    const rect = element.getBoundingClientRect()\n\n    return {\n      top: rect.top + document.body.scrollTop,\n      left: rect.left + document.body.scrollLeft\n    }\n  },\n\n  position(element) {\n    return {\n      top: element.offsetTop,\n      left: element.offsetLeft\n    }\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isRTL,\n  isVisible,\n  getNextActiveElement,\n  reflow,\n  triggerTransitionEnd,\n  typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  slide: false,\n  pause: 'hover',\n  wrap: true,\n  touch: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)',\n  keyboard: 'boolean',\n  slide: '(boolean|string)',\n  pause: '(string|boolean)',\n  wrap: 'boolean',\n  touch: 'boolean'\n}\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ACTIVE_ITEM = '.active.carousel-item'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_NEXT_PREV = '.carousel-item-next, .carousel-item-prev'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_INDICATOR = '[data-bs-target]'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._items = null\n    this._interval = null\n    this._activeElement = null\n    this._isPaused = false\n    this._isSliding = false\n    this.touchTimeout = null\n    this.touchStartX = 0\n    this.touchDeltaX = 0\n\n    this._config = this._getConfig(config)\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._touchSupported = 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n    this._pointerEvent = Boolean(window.PointerEvent)\n\n    this._addEventListeners()\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause(event) {\n    if (!event) {\n      this._isPaused = true\n    }\n\n    if (SelectorEngine.findOne(SELECTOR_NEXT_PREV, this._element)) {\n      triggerTransitionEnd(this._element)\n      this.cycle(true)\n    }\n\n    clearInterval(this._interval)\n    this._interval = null\n  }\n\n  cycle(event) {\n    if (!event) {\n      this._isPaused = false\n    }\n\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n\n    if (this._config && this._config.interval && !this._isPaused) {\n      this._updateInterval()\n\n      this._interval = setInterval(\n        (document.visibilityState ? this.nextWhenVisible : this.next).bind(this),\n        this._config.interval\n      )\n    }\n  }\n\n  to(index) {\n    this._activeElement = SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n    const activeIndex = this._getItemIndex(this._activeElement)\n\n    if (index > this._items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    if (activeIndex === index) {\n      this.pause()\n      this.cycle()\n      return\n    }\n\n    const order = index > activeIndex ?\n      ORDER_NEXT :\n      ORDER_PREV\n\n    this._slide(order, this._items[index])\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...(typeof config === 'object' ? config : {})\n    }\n    typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _handleSwipe() {\n    const absDeltax = Math.abs(this.touchDeltaX)\n\n    if (absDeltax <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltax / this.touchDeltaX\n\n    this.touchDeltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    this._slide(direction > 0 ? DIRECTION_RIGHT : DIRECTION_LEFT)\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, event => this.pause(event))\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, event => this.cycle(event))\n    }\n\n    if (this._config.touch && this._touchSupported) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    const start = event => {\n      if (this._pointerEvent && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)) {\n        this.touchStartX = event.clientX\n      } else if (!this._pointerEvent) {\n        this.touchStartX = event.touches[0].clientX\n      }\n    }\n\n    const move = event => {\n      // ensure swiping with one touch and not pinching\n      this.touchDeltaX = event.touches && event.touches.length > 1 ?\n        0 :\n        event.touches[0].clientX - this.touchStartX\n    }\n\n    const end = event => {\n      if (this._pointerEvent && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)) {\n        this.touchDeltaX = event.clientX - this.touchStartX\n      }\n\n      this._handleSwipe()\n      if (this._config.pause === 'hover') {\n        // If it's a touch-enabled device, mouseenter/leave are fired as\n        // part of the mouse compatibility events on first tap - the carousel\n        // would stop cycling until user tapped out of it;\n        // here, we listen for touchend, explicitly pause the carousel\n        // (as if it's the second time we tap on it, mouseenter compat event\n        // is NOT fired) and after a timeout (to allow for mouse compatibility\n        // events to fire) we explicitly restart cycling\n\n        this.pause()\n        if (this.touchTimeout) {\n          clearTimeout(this.touchTimeout)\n        }\n\n        this.touchTimeout = setTimeout(event => this.cycle(event), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n      }\n    }\n\n    SelectorEngine.find(SELECTOR_ITEM_IMG, this._element).forEach(itemImg => {\n      EventHandler.on(itemImg, EVENT_DRAG_START, e => e.preventDefault())\n    })\n\n    if (this._pointerEvent) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => end(event))\n    }\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(direction)\n    }\n  }\n\n  _getItemIndex(element) {\n    this._items = element && element.parentNode ?\n      SelectorEngine.find(SELECTOR_ITEM, element.parentNode) :\n      []\n\n    return this._items.indexOf(element)\n  }\n\n  _getItemByOrder(order, activeElement) {\n    const isNext = order === ORDER_NEXT\n    return getNextActiveElement(this._items, activeElement, isNext, this._config.wrap)\n  }\n\n  _triggerSlideEvent(relatedTarget, eventDirectionName) {\n    const targetIndex = this._getItemIndex(relatedTarget)\n    const fromIndex = this._getItemIndex(SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element))\n\n    return EventHandler.trigger(this._element, EVENT_SLIDE, {\n      relatedTarget,\n      direction: eventDirectionName,\n      from: fromIndex,\n      to: targetIndex\n    })\n  }\n\n  _setActiveIndicatorElement(element) {\n    if (this._indicatorsElement) {\n      const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n      activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n      activeIndicator.removeAttribute('aria-current')\n\n      const indicators = SelectorEngine.find(SELECTOR_INDICATOR, this._indicatorsElement)\n\n      for (let i = 0; i < indicators.length; i++) {\n        if (Number.parseInt(indicators[i].getAttribute('data-bs-slide-to'), 10) === this._getItemIndex(element)) {\n          indicators[i].classList.add(CLASS_NAME_ACTIVE)\n          indicators[i].setAttribute('aria-current', 'true')\n          break\n        }\n      }\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    if (elementInterval) {\n      this._config.defaultInterval = this._config.defaultInterval || this._config.interval\n      this._config.interval = elementInterval\n    } else {\n      this._config.interval = this._config.defaultInterval || this._config.interval\n    }\n  }\n\n  _slide(directionOrOrder, element) {\n    const order = this._directionToOrder(directionOrOrder)\n    const activeElement = SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n    const activeElementIndex = this._getItemIndex(activeElement)\n    const nextElement = element || this._getItemByOrder(order, activeElement)\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n    const isCycling = Boolean(this._interval)\n\n    const isNext = order === ORDER_NEXT\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n    const eventDirectionName = this._orderToDirection(order)\n\n    if (nextElement && nextElement.classList.contains(CLASS_NAME_ACTIVE)) {\n      this._isSliding = false\n      return\n    }\n\n    if (this._isSliding) {\n      return\n    }\n\n    const slideEvent = this._triggerSlideEvent(nextElement, eventDirectionName)\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      return\n    }\n\n    this._isSliding = true\n\n    if (isCycling) {\n      this.pause()\n    }\n\n    this._setActiveIndicatorElement(nextElement)\n    this._activeElement = nextElement\n\n    const triggerSlidEvent = () => {\n      EventHandler.trigger(this._element, EVENT_SLID, {\n        relatedTarget: nextElement,\n        direction: eventDirectionName,\n        from: activeElementIndex,\n        to: nextElementIndex\n      })\n    }\n\n    if (this._element.classList.contains(CLASS_NAME_SLIDE)) {\n      nextElement.classList.add(orderClassName)\n\n      reflow(nextElement)\n\n      activeElement.classList.add(directionalClassName)\n      nextElement.classList.add(directionalClassName)\n\n      const completeCallBack = () => {\n        nextElement.classList.remove(directionalClassName, orderClassName)\n        nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n        activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n        this._isSliding = false\n\n        setTimeout(triggerSlidEvent, 0)\n      }\n\n      this._queueCallback(completeCallBack, activeElement, true)\n    } else {\n      activeElement.classList.remove(CLASS_NAME_ACTIVE)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      this._isSliding = false\n      triggerSlidEvent()\n    }\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (![DIRECTION_RIGHT, DIRECTION_LEFT].includes(direction)) {\n      return direction\n    }\n\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (![ORDER_NEXT, ORDER_PREV].includes(order)) {\n      return order\n    }\n\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n\n  static carouselInterface(element, config) {\n    const data = Carousel.getOrCreateInstance(element, config)\n\n    let { _config } = data\n    if (typeof config === 'object') {\n      _config = {\n        ..._config,\n        ...config\n      }\n    }\n\n    const action = typeof config === 'string' ? config : _config.slide\n\n    if (typeof config === 'number') {\n      data.to(config)\n    } else if (typeof action === 'string') {\n      if (typeof data[action] === 'undefined') {\n        throw new TypeError(`No method named \"${action}\"`)\n      }\n\n      data[action]()\n    } else if (_config.interval && _config.ride) {\n      data.pause()\n      data.cycle()\n    }\n  }\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      Carousel.carouselInterface(this, config)\n    })\n  }\n\n  static dataApiClickHandler(event) {\n    const target = getElementFromSelector(this)\n\n    if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n      return\n    }\n\n    const config = {\n      ...Manipulator.getDataAttributes(target),\n      ...Manipulator.getDataAttributes(this)\n    }\n    const slideIndex = this.getAttribute('data-bs-slide-to')\n\n    if (slideIndex) {\n      config.interval = false\n    }\n\n    Carousel.carouselInterface(target, config)\n\n    if (slideIndex) {\n      Carousel.getInstance(target).to(slideIndex)\n    }\n\n    event.preventDefault()\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, Carousel.dataApiClickHandler)\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (let i = 0, len = carousels.length; i < len; i++) {\n    Carousel.carouselInterface(carousels[i], Carousel.getInstance(carousels[i]))\n  }\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Carousel to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getSelectorFromElement,\n  getElementFromSelector,\n  reflow,\n  typeCheckConfig\n} from './util/index'\nimport Data from './dom/data'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst Default = {\n  toggle: true,\n  parent: ''\n}\n\nconst DefaultType = {\n  toggle: 'boolean',\n  parent: '(string|element)'\n}\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.show, .collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._isTransitioning = false\n    this._config = this._getConfig(config)\n    this._triggerArray = SelectorEngine.find(\n      `${SELECTOR_DATA_TOGGLE}[href=\"#${this._element.id}\"],` +\n      `${SELECTOR_DATA_TOGGLE}[data-bs-target=\"#${this._element.id}\"]`\n    )\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (let i = 0, len = toggleList.length; i < len; i++) {\n      const elem = toggleList[i]\n      const selector = getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElem => foundElem === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._selector = selector\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._parent = this._config.parent ? this._getParent() : null\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._element, this._triggerArray)\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  toggle() {\n    if (this._element.classList.contains(CLASS_NAME_SHOW)) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._element.classList.contains(CLASS_NAME_SHOW)) {\n      return\n    }\n\n    let actives\n    let activesData\n\n    if (this._parent) {\n      actives = SelectorEngine.find(SELECTOR_ACTIVES, this._parent)\n        .filter(elem => {\n          if (typeof this._config.parent === 'string') {\n            return elem.getAttribute('data-bs-parent') === this._config.parent\n          }\n\n          return elem.classList.contains(CLASS_NAME_COLLAPSE)\n        })\n\n      if (actives.length === 0) {\n        actives = null\n      }\n    }\n\n    const container = SelectorEngine.findOne(this._selector)\n    if (actives) {\n      const tempActiveData = actives.find(elem => container !== elem)\n      activesData = tempActiveData ? Collapse.getInstance(tempActiveData) : null\n\n      if (activesData && activesData._isTransitioning) {\n        return\n      }\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    if (actives) {\n      actives.forEach(elemActive => {\n        if (container !== elemActive) {\n          Collapse.collapseInterface(elemActive, 'hide')\n        }\n\n        if (!activesData) {\n          Data.set(elemActive, DATA_KEY, null)\n        }\n      })\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    if (this._triggerArray.length) {\n      this._triggerArray.forEach(element => {\n        element.classList.remove(CLASS_NAME_COLLAPSED)\n        element.setAttribute('aria-expanded', true)\n      })\n    }\n\n    this.setTransitioning(true)\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      this.setTransitioning(false)\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._element.classList.contains(CLASS_NAME_SHOW)) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    const triggerArrayLength = this._triggerArray.length\n    if (triggerArrayLength > 0) {\n      for (let i = 0; i < triggerArrayLength; i++) {\n        const trigger = this._triggerArray[i]\n        const elem = getElementFromSelector(trigger)\n\n        if (elem && !elem.classList.contains(CLASS_NAME_SHOW)) {\n          trigger.classList.add(CLASS_NAME_COLLAPSED)\n          trigger.setAttribute('aria-expanded', false)\n        }\n      }\n    }\n\n    this.setTransitioning(true)\n\n    const complete = () => {\n      this.setTransitioning(false)\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  setTransitioning(isTransitioning) {\n    this._isTransitioning = isTransitioning\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...config\n    }\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(WIDTH) ? WIDTH : HEIGHT\n  }\n\n  _getParent() {\n    let { parent } = this._config\n\n    parent = getElement(parent)\n\n    const selector = `${SELECTOR_DATA_TOGGLE}[data-bs-parent=\"${parent}\"]`\n\n    SelectorEngine.find(selector, parent)\n      .forEach(element => {\n        const selected = getElementFromSelector(element)\n\n        this._addAriaAndCollapsedClass(\n          selected,\n          [element]\n        )\n      })\n\n    return parent\n  }\n\n  _addAriaAndCollapsedClass(element, triggerArray) {\n    if (!element || !triggerArray.length) {\n      return\n    }\n\n    const isOpen = element.classList.contains(CLASS_NAME_SHOW)\n\n    triggerArray.forEach(elem => {\n      if (isOpen) {\n        elem.classList.remove(CLASS_NAME_COLLAPSED)\n      } else {\n        elem.classList.add(CLASS_NAME_COLLAPSED)\n      }\n\n      elem.setAttribute('aria-expanded', isOpen)\n    })\n  }\n\n  // Static\n\n  static collapseInterface(element, config) {\n    let data = Collapse.getInstance(element)\n    const _config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(element),\n      ...(typeof config === 'object' && config ? config : {})\n    }\n\n    if (!data && _config.toggle && typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    if (!data) {\n      data = new Collapse(element, _config)\n    }\n\n    if (typeof config === 'string') {\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    }\n  }\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      Collapse.collapseInterface(this, config)\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  const triggerData = Manipulator.getDataAttributes(this)\n  const selector = getSelectorFromElement(this)\n  const selectorElements = SelectorEngine.find(selector)\n\n  selectorElements.forEach(element => {\n    const data = Collapse.getInstance(element)\n    let config\n    if (data) {\n      // update parent attribute\n      if (data._parent === null && typeof triggerData.parent === 'string') {\n        data._config.parent = triggerData.parent\n        data._parent = data._getParent()\n      }\n\n      config = 'toggle'\n    } else {\n      config = triggerData\n    }\n\n    Collapse.collapseInterface(element, config)\n  })\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Collapse to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export default function getBoundingClientRect(element) {\n  var rect = element.getBoundingClientRect();\n  return {\n    width: rect.width,\n    height: rect.height,\n    top: rect.top,\n    right: rect.right,\n    bottom: rect.bottom,\n    left: rect.left,\n    x: rect.left,\n    y: rect.top\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = navigator.userAgent.toLowerCase().indexOf('firefox') !== -1;\n  var isIE = navigator.userAgent.indexOf('Trident') !== -1;\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport default function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport within from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (process.env.NODE_ENV !== \"production\") {\n    if (!isHTMLElement(arrowElement)) {\n      console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n    }\n\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","import { top, left, right, bottom } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref) {\n  var x = _ref.x,\n      y = _ref.y;\n  var win = window;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(round(x * dpr) / dpr) || 0,\n    y: round(round(y * dpr) / dpr) || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets;\n\n  var _ref3 = roundOffsets === true ? roundOffsetsByDPR(offsets) : typeof roundOffsets === 'function' ? roundOffsets(offsets) : offsets,\n      _ref3$x = _ref3.x,\n      x = _ref3$x === void 0 ? 0 : _ref3$x,\n      _ref3$y = _ref3.y,\n      y = _ref3$y === void 0 ? 0 : _ref3$y;\n\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top) {\n      sideY = bottom; // $FlowFixMe[prop-missing]\n\n      y -= offsetParent[heightProp] - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left) {\n      sideX = right; // $FlowFixMe[prop-missing]\n\n      x -= offsetParent[widthProp] - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) < 2 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref4) {\n  var state = _ref4.state,\n      options = _ref4.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n    if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n      return transitionProperty.indexOf(property) >= 0;\n    })) {\n      console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n    }\n  }\n\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element) {\n  var rect = getBoundingClientRect(element);\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element)) : isHTMLElement(clippingParent) ? getInnerBoundingClientRect(clippingParent) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nexport default function getViewportRect(element) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0; // NB: This isn't supported on iOS <= 12. If the keyboard is open, the popper\n  // can be obscured underneath it.\n  // Also, `html.clientHeight` adds the bottom bar height in Safari iOS, even\n  // if it isn't open, so if this isn't available, the popper will be detected\n  // to overflow the bottom of the screen too early.\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height; // Uses Layout Viewport (like Chrome; Safari does not currently)\n    // In Chrome, it returns a value very close to 0 (+/-) but contains rounding\n    // errors due to floating point numbers, so we need to check precision.\n    // Safari returns a number <= 0, usually < -1 when pinch-zoomed\n    // Feature detection fails in mobile emulation mode in Chrome.\n    // Math.abs(win.innerWidth / visualViewport.scale - visualViewport.width) <\n    // 0.001\n    // Fallback here: \"Not Safari\" userAgent\n\n    if (!/^((?!chrome|android).)*safari/i.test(navigator.userAgent)) {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var referenceElement = state.elements.reference;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary);\n  var referenceClientRect = getBoundingClientRect(referenceElement);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n    }\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\";\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport within from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { max as mathMax, min as mathMin } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis || checkAltAxis) {\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = popperOffsets[mainAxis] + overflow[mainSide];\n    var max = popperOffsets[mainAxis] - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - tetherOffsetValue : minLen - arrowLen - arrowPaddingMin - tetherOffsetValue;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + tetherOffsetValue : maxLen + arrowLen + arrowPaddingMax + tetherOffsetValue;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = state.modifiersData.offset ? state.modifiersData.offset[state.placement][mainAxis] : 0;\n    var tetherMin = popperOffsets[mainAxis] + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = popperOffsets[mainAxis] + maxOffset - offsetModifierValue;\n\n    if (checkMainAxis) {\n      var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n      popperOffsets[mainAxis] = preventedOffset;\n      data[mainAxis] = preventedOffset - offset;\n    }\n\n    if (checkAltAxis) {\n      var _mainSide = mainAxis === 'x' ? top : left;\n\n      var _altSide = mainAxis === 'x' ? bottom : right;\n\n      var _offset = popperOffsets[altAxis];\n\n      var _min = _offset + overflow[_mainSide];\n\n      var _max = _offset - overflow[_altSide];\n\n      var _preventedOffset = within(tether ? mathMin(_min, tetherMin) : _min, _offset, tether ? mathMax(_max, tetherMax) : _max);\n\n      popperOffsets[altAxis] = _preventedOffset;\n      data[altAxis] = _preventedOffset - _offset;\n    }\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\"; // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement);\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(options) {\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        }); // Validate the provided modifiers so that the consumer will get warned\n        // if one of the modifiers is invalid for any reason\n\n        if (process.env.NODE_ENV !== \"production\") {\n          var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n            var name = _ref.name;\n            return name;\n          });\n          validateModifiers(modifiers);\n\n          if (getBasePlacement(state.options.placement) === auto) {\n            var flipModifier = state.orderedModifiers.find(function (_ref2) {\n              var name = _ref2.name;\n              return name === 'flip';\n            });\n\n            if (!flipModifier) {\n              console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n            }\n          }\n\n          var _getComputedStyle = getComputedStyle(popper),\n              marginTop = _getComputedStyle.marginTop,\n              marginRight = _getComputedStyle.marginRight,\n              marginBottom = _getComputedStyle.marginBottom,\n              marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n          // cause bugs with positioning, so we'll warn the consumer\n\n\n          if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n            return parseFloat(margin);\n          })) {\n            console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n          }\n        }\n\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          if (process.env.NODE_ENV !== \"production\") {\n            console.error(INVALID_ELEMENT_ERROR);\n          }\n\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n        var __debug_loops__ = 0;\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (process.env.NODE_ENV !== \"production\") {\n            __debug_loops__ += 1;\n\n            if (__debug_loops__ > 100) {\n              console.error(INFINITE_LOOP_ERROR);\n              break;\n            }\n          }\n\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        console.error(INVALID_ELEMENT_ERROR);\n      }\n\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref3) {\n        var name = _ref3.name,\n            _ref3$options = _ref3.options,\n            options = _ref3$options === void 0 ? {} : _ref3$options,\n            effect = _ref3.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\n\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getElementFromSelector,\n  isDisabled,\n  isElement,\n  isVisible,\n  isRTL,\n  noop,\n  getNextActiveElement,\n  typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst SPACE_KEY = 'Space'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst REGEXP_KEYDOWN = new RegExp(`${ARROW_UP_KEY}|${ARROW_DOWN_KEY}|${ESCAPE_KEY}`)\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_NAVBAR = 'navbar'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]'\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\n\nconst Default = {\n  offset: [0, 2],\n  boundary: 'clippingParents',\n  reference: 'toggle',\n  display: 'dynamic',\n  popperConfig: null,\n  autoClose: true\n}\n\nconst DefaultType = {\n  offset: '(array|string|function)',\n  boundary: '(string|element)',\n  reference: '(string|element|object)',\n  display: 'string',\n  popperConfig: '(null|object|function)',\n  autoClose: '(boolean|string)'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._popper = null\n    this._config = this._getConfig(config)\n    this._menu = this._getMenuElement()\n    this._inNavbar = this._detectNavbar()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  toggle() {\n    if (isDisabled(this._element)) {\n      return\n    }\n\n    const isActive = this._element.classList.contains(CLASS_NAME_SHOW)\n\n    if (isActive) {\n      this.hide()\n      return\n    }\n\n    this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._menu.classList.contains(CLASS_NAME_SHOW)) {\n      return\n    }\n\n    const parent = Dropdown.getParentFromElement(this._element)\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    // Totally disable Popper for Dropdowns in Navbar\n    if (this._inNavbar) {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'none')\n    } else {\n      if (typeof Popper === 'undefined') {\n        throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n      }\n\n      let referenceElement = this._element\n\n      if (this._config.reference === 'parent') {\n        referenceElement = parent\n      } else if (isElement(this._config.reference)) {\n        referenceElement = getElement(this._config.reference)\n      } else if (typeof this._config.reference === 'object') {\n        referenceElement = this._config.reference\n      }\n\n      const popperConfig = this._getPopperConfig()\n      const isDisplayStatic = popperConfig.modifiers.find(modifier => modifier.name === 'applyStyles' && modifier.enabled === false)\n\n      this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n\n      if (isDisplayStatic) {\n        Manipulator.setDataAttribute(this._menu, 'popper', 'static')\n      }\n    }\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement &&\n      !parent.closest(SELECTOR_NAVBAR_NAV)) {\n      [].concat(...document.body.children)\n        .forEach(elem => EventHandler.on(elem, 'mouseover', noop))\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.toggle(CLASS_NAME_SHOW)\n    this._element.classList.toggle(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._menu.classList.contains(CLASS_NAME_SHOW)) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_CLICK, event => {\n      event.preventDefault()\n      this.toggle()\n    })\n  }\n\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      [].concat(...document.body.children)\n        .forEach(elem => EventHandler.off(elem, 'mouseover', noop))\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = {\n      ...this.constructor.Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...config\n    }\n\n    typeCheckConfig(NAME, config, this.constructor.DefaultType)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _getMenuElement() {\n    return SelectorEngine.next(this._element, SELECTOR_MENU)[0]\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._element.parentNode\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(`.${CLASS_NAME_NAVBAR}`) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(val => Number.parseInt(val, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display\n    if (this._config.display === 'static') {\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(isVisible)\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n\n  static dropdownInterface(element, config) {\n    const data = Dropdown.getOrCreateInstance(element, config)\n\n    if (typeof config === 'string') {\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    }\n  }\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      Dropdown.dropdownInterface(this, config)\n    })\n  }\n\n  static clearMenus(event) {\n    if (event && (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY))) {\n      return\n    }\n\n    const toggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (let i = 0, len = toggles.length; i < len; i++) {\n      const context = Dropdown.getInstance(toggles[i])\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      if (!context._element.classList.contains(CLASS_NAME_SHOW)) {\n        continue\n      }\n\n      const relatedTarget = {\n        relatedTarget: context._element\n      }\n\n      if (event) {\n        const composedPath = event.composedPath()\n        const isMenuTarget = composedPath.includes(context._menu)\n        if (\n          composedPath.includes(context._element) ||\n          (context._config.autoClose === 'inside' && !isMenuTarget) ||\n          (context._config.autoClose === 'outside' && isMenuTarget)\n        ) {\n          continue\n        }\n\n        // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n        if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n          continue\n        }\n\n        if (event.type === 'click') {\n          relatedTarget.clickEvent = event\n        }\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static getParentFromElement(element) {\n    return getElementFromSelector(element) || element.parentNode\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not input/textarea:\n    //  - And not a key in REGEXP_KEYDOWN => not a dropdown command\n    // If input/textarea:\n    //  - If space key => not a dropdown command\n    //  - If key is other than escape\n    //    - If key is not up or down => not a dropdown command\n    //    - If trigger inside the menu => not a dropdown command\n    if (/input|textarea/i.test(event.target.tagName) ?\n      event.key === SPACE_KEY || (event.key !== ESCAPE_KEY &&\n      ((event.key !== ARROW_DOWN_KEY && event.key !== ARROW_UP_KEY) ||\n        event.target.closest(SELECTOR_MENU))) :\n      !REGEXP_KEYDOWN.test(event.key)) {\n      return\n    }\n\n    const isActive = this.classList.contains(CLASS_NAME_SHOW)\n\n    if (!isActive && event.key === ESCAPE_KEY) {\n      return\n    }\n\n    event.preventDefault()\n    event.stopPropagation()\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const getToggleButton = () => this.matches(SELECTOR_DATA_TOGGLE) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0]\n\n    if (event.key === ESCAPE_KEY) {\n      getToggleButton().focus()\n      Dropdown.clearMenus()\n      return\n    }\n\n    if (event.key === ARROW_UP_KEY || event.key === ARROW_DOWN_KEY) {\n      if (!isActive) {\n        getToggleButton().click()\n      }\n\n      Dropdown.getInstance(getToggleButton())._selectMenuItem(event)\n      return\n    }\n\n    if (!isActive || event.key === SPACE_KEY) {\n      Dropdown.clearMenus()\n    }\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.dropdownInterface(this)\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Dropdown to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine'\nimport Manipulator from '../dom/manipulator'\nimport { isElement } from './index'\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, 'paddingRight', calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, 'paddingRight', calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, 'marginRight', calculatedValue => calculatedValue - width)\n  }\n\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProp, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProp)\n      const calculatedValue = window.getComputedStyle(element)[styleProp]\n      element.style[styleProp] = `${callback(Number.parseFloat(calculatedValue))}px`\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, 'paddingRight')\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, 'paddingRight')\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, 'marginRight')\n  }\n\n  _saveInitialAttribute(element, styleProp) {\n    const actualValue = element.style[styleProp]\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProp, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProp) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProp)\n      if (typeof value === 'undefined') {\n        element.style.removeProperty(styleProp)\n      } else {\n        Manipulator.removeDataAttribute(element, styleProp)\n        element.style[styleProp] = value\n      }\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n    } else {\n      SelectorEngine.find(selector, this._element).forEach(callBack)\n    }\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { execute, executeAfterTransition, getElement, reflow, typeCheckConfig } from './index'\n\nconst Default = {\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  isAnimated: false,\n  rootElement: 'body', // give the choice to place backdrop under different elements\n  clickCallback: null\n}\n\nconst DefaultType = {\n  isVisible: 'boolean',\n  isAnimated: 'boolean',\n  rootElement: '(element|string)',\n  clickCallback: '(function|null)'\n}\nconst NAME = 'backdrop'\nconst CLASS_NAME_BACKDROP = 'modal-backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nclass Backdrop {\n  constructor(config) {\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    if (this._config.isAnimated) {\n      reflow(this._getElement())\n    }\n\n    this._getElement().classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  // Private\n\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = CLASS_NAME_BACKDROP\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...(typeof config === 'object' ? config : {})\n    }\n\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    this._config.rootElement.appendChild(this._getElement())\n\n    EventHandler.on(this._getElement(), EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isRTL,\n  isVisible,\n  reflow,\n  typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport ScrollBarHelper from './util/scrollbar'\nimport BaseComponent from './base-component'\nimport Backdrop from './util/backdrop'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  focus: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  focus: 'boolean'\n}\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEUP_DISMISS = `mouseup.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\nconst SELECTOR_DATA_DISMISS = '[data-bs-dismiss=\"modal\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._config = this._getConfig(config)\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._isShown = false\n    this._ignoreBackdropClick = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n\n    if (this._isAnimated()) {\n      this._isTransitioning = true\n    }\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._setEscapeEvent()\n    this._setResizeEvent()\n\n    EventHandler.on(this._element, EVENT_CLICK_DISMISS, SELECTOR_DATA_DISMISS, event => this.hide(event))\n\n    EventHandler.on(this._dialog, EVENT_MOUSEDOWN_DISMISS, () => {\n      EventHandler.one(this._element, EVENT_MOUSEUP_DISMISS, event => {\n        if (event.target === this._element) {\n          this._ignoreBackdropClick = true\n        }\n      })\n    })\n\n    this._showBackdrop(() => this._showElement(relatedTarget))\n  }\n\n  hide(event) {\n    if (event && ['A', 'AREA'].includes(event.target.tagName)) {\n      event.preventDefault()\n    }\n\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    const isAnimated = this._isAnimated()\n\n    if (isAnimated) {\n      this._isTransitioning = true\n    }\n\n    this._setEscapeEvent()\n    this._setResizeEvent()\n\n    EventHandler.off(document, EVENT_FOCUSIN)\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    EventHandler.off(this._element, EVENT_CLICK_DISMISS)\n    EventHandler.off(this._dialog, EVENT_MOUSEDOWN_DISMISS)\n\n    this._queueCallback(() => this._hideModal(), this._element, isAnimated)\n  }\n\n  dispose() {\n    [window, this._dialog]\n      .forEach(htmlElement => EventHandler.off(htmlElement, EVENT_KEY))\n\n    this._backdrop.dispose()\n    super.dispose()\n\n    /**\n     * `document` has 2 events `EVENT_FOCUSIN` and `EVENT_CLICK_DATA_API`\n     * Do not move `document` in `htmlElements` array\n     * It will remove `EVENT_CLICK_DATA_API` event that should remain\n     */\n    EventHandler.off(document, EVENT_FOCUSIN)\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...(typeof config === 'object' ? config : {})\n    }\n    typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _showElement(relatedTarget) {\n    const isAnimated = this._isAnimated()\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n\n    if (!this._element.parentNode || this._element.parentNode.nodeType !== Node.ELEMENT_NODE) {\n      // Don't move modal's DOM position\n      document.body.appendChild(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    if (isAnimated) {\n      reflow(this._element)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    if (this._config.focus) {\n      this._enforceFocus()\n    }\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._element.focus()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, isAnimated)\n  }\n\n  _enforceFocus() {\n    EventHandler.off(document, EVENT_FOCUSIN) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => {\n      if (document !== event.target &&\n          this._element !== event.target &&\n          !this._element.contains(event.target)) {\n        this._element.focus()\n      }\n    })\n  }\n\n  _setEscapeEvent() {\n    if (this._isShown) {\n      EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n        if (this._config.keyboard && event.key === ESCAPE_KEY) {\n          event.preventDefault()\n          this.hide()\n        } else if (!this._config.keyboard && event.key === ESCAPE_KEY) {\n          this._triggerBackdropTransition()\n        }\n      })\n    } else {\n      EventHandler.off(this._element, EVENT_KEYDOWN_DISMISS)\n    }\n  }\n\n  _setResizeEvent() {\n    if (this._isShown) {\n      EventHandler.on(window, EVENT_RESIZE, () => this._adjustDialog())\n    } else {\n      EventHandler.off(window, EVENT_RESIZE)\n    }\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _showBackdrop(callback) {\n    EventHandler.on(this._element, EVENT_CLICK_DISMISS, event => {\n      if (this._ignoreBackdropClick) {\n        this._ignoreBackdropClick = false\n        return\n      }\n\n      if (event.target !== event.currentTarget) {\n        return\n      }\n\n      if (this._config.backdrop === true) {\n        this.hide()\n      } else if (this._config.backdrop === 'static') {\n        this._triggerBackdropTransition()\n      }\n    })\n\n    this._backdrop.show(callback)\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const { classList, scrollHeight, style } = this._element\n    const isModalOverflowing = scrollHeight > document.documentElement.clientHeight\n\n    // return if the following background transition hasn't yet completed\n    if ((!isModalOverflowing && style.overflowY === 'hidden') || classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      style.overflowY = 'hidden'\n    }\n\n    classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      classList.remove(CLASS_NAME_STATIC)\n      if (!isModalOverflowing) {\n        this._queueCallback(() => {\n          style.overflowY = ''\n        }, this._dialog)\n      }\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  // ----------------------------------------------------------------------\n  // the following methods are used to handle overflowing modals\n  // ----------------------------------------------------------------------\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if ((!isBodyOverflowing && isModalOverflowing && !isRTL()) || (isBodyOverflowing && !isModalOverflowing && isRTL())) {\n      this._element.style.paddingLeft = `${scrollbarWidth}px`\n    }\n\n    if ((isBodyOverflowing && !isModalOverflowing && !isRTL()) || (!isBodyOverflowing && isModalOverflowing && isRTL())) {\n      this._element.style.paddingRight = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Modal to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isDisabled,\n  isVisible,\n  typeCheckConfig\n} from './util/index'\nimport ScrollBarHelper from './util/scrollbar'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport SelectorEngine from './dom/selector-engine'\nimport Manipulator from './dom/manipulator'\nimport Backdrop from './util/backdrop'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: 'boolean',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\nconst CLASS_NAME_SHOW = 'show'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_DISMISS = '[data-bs-dismiss=\"offcanvas\"]'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._config = this._getConfig(config)\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._addEventListeners()\n  }\n\n  // Getters\n\n  static get NAME() {\n    return NAME\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  // Public\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._element.style.visibility = 'visible'\n\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n      this._enforceFocusOnElement(this._element)\n    }\n\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const completeCallBack = () => {\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    EventHandler.off(document, EVENT_FOCUSIN)\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.setAttribute('aria-hidden', true)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n      this._element.style.visibility = 'hidden'\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    super.dispose()\n    EventHandler.off(document, EVENT_FOCUSIN)\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...(typeof config === 'object' ? config : {})\n    }\n    typeCheckConfig(NAME, config, DefaultType)\n    return config\n  }\n\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: this._config.backdrop,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: () => this.hide()\n    })\n  }\n\n  _enforceFocusOnElement(element) {\n    EventHandler.off(document, EVENT_FOCUSIN) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => {\n      if (document !== event.target &&\n        element !== event.target &&\n        !element.contains(event.target)) {\n        element.focus()\n      }\n    })\n    element.focus()\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_CLICK_DISMISS, SELECTOR_DATA_DISMISS, () => this.hide())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (this._config.keyboard && event.key === ESCAPE_KEY) {\n        this.hide()\n      }\n    })\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const allReadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (allReadyOpen && allReadyOpen !== target) {\n    Offcanvas.getInstance(allReadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () =>\n  SelectorEngine.find(OPEN_SELECTOR).forEach(el => Offcanvas.getOrCreateInstance(el).show())\n)\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttrs = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file):|[^#&/:?]*(?:[#/?]|$))/i\n\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nconst allowedAttribute = (attr, allowedAttributeList) => {\n  const attrName = attr.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attrName)) {\n    if (uriAttrs.has(attrName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attr.nodeValue) || DATA_URL_PATTERN.test(attr.nodeValue))\n    }\n\n    return true\n  }\n\n  const regExp = allowedAttributeList.filter(attrRegex => attrRegex instanceof RegExp)\n\n  // Check if a regular expression validates the attribute.\n  for (let i = 0, len = regExp.length; i < len; i++) {\n    if (regExp[i].test(attrName)) {\n      return true\n    }\n  }\n\n  return false\n}\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFn) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFn && typeof sanitizeFn === 'function') {\n    return sanitizeFn(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const allowlistKeys = Object.keys(allowList)\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (let i = 0, len = elements.length; i < len; i++) {\n    const el = elements[i]\n    const elName = el.nodeName.toLowerCase()\n\n    if (!allowlistKeys.includes(elName)) {\n      el.remove()\n\n      continue\n    }\n\n    const attributeList = [].concat(...el.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elName] || [])\n\n    attributeList.forEach(attr => {\n      if (!allowedAttribute(attr, allowedAttributes)) {\n        el.removeAttribute(attr.nodeName)\n      }\n    })\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\n\nimport {\n  defineJQueryPlugin,\n  findShadowRoot,\n  getElement,\n  getUID,\n  isElement,\n  isRTL,\n  noop,\n  typeCheckConfig\n} from './util/index'\nimport {\n  DefaultAllowlist,\n  sanitizeHtml\n} from './util/sanitizer'\nimport Data from './dom/data'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'tooltip'\nconst DATA_KEY = 'bs.tooltip'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst CLASS_PREFIX = 'bs-tooltip'\nconst BSCLS_PREFIX_REGEX = new RegExp(`(^|\\\\s)${CLASS_PREFIX}\\\\S+`, 'g')\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst DefaultType = {\n  animation: 'boolean',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string',\n  delay: '(number|object)',\n  html: 'boolean',\n  selector: '(string|boolean)',\n  placement: '(string|function)',\n  offset: '(array|string|function)',\n  container: '(string|element|boolean)',\n  fallbackPlacements: 'array',\n  boundary: '(string|element)',\n  customClass: '(string|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  allowList: 'object',\n  popperConfig: '(null|object|function)'\n}\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  animation: true,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n              '<div class=\"tooltip-arrow\"></div>' +\n              '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  trigger: 'hover focus',\n  title: '',\n  delay: 0,\n  html: false,\n  selector: false,\n  placement: 'top',\n  offset: [0, 0],\n  container: false,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  boundary: 'clippingParents',\n  customClass: '',\n  sanitize: true,\n  sanitizeFn: null,\n  allowList: DefaultAllowlist,\n  popperConfig: null\n}\n\nconst Event = {\n  HIDE: `hide${EVENT_KEY}`,\n  HIDDEN: `hidden${EVENT_KEY}`,\n  SHOW: `show${EVENT_KEY}`,\n  SHOWN: `shown${EVENT_KEY}`,\n  INSERTED: `inserted${EVENT_KEY}`,\n  CLICK: `click${EVENT_KEY}`,\n  FOCUSIN: `focusin${EVENT_KEY}`,\n  FOCUSOUT: `focusout${EVENT_KEY}`,\n  MOUSEENTER: `mouseenter${EVENT_KEY}`,\n  MOUSELEAVE: `mouseleave${EVENT_KEY}`\n}\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst HOVER_STATE_SHOW = 'show'\nconst HOVER_STATE_OUT = 'out'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element)\n\n    // private\n    this._isEnabled = true\n    this._timeout = 0\n    this._hoverState = ''\n    this._activeTrigger = {}\n    this._popper = null\n\n    // Protected\n    this._config = this._getConfig(config)\n    this.tip = null\n\n    this._setListeners()\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  static get Event() {\n    return Event\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  // Public\n\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle(event) {\n    if (!this._isEnabled) {\n      return\n    }\n\n    if (event) {\n      const context = this._initializeOnDelegatedTarget(event)\n\n      context._activeTrigger.click = !context._activeTrigger.click\n\n      if (context._isWithActiveTrigger()) {\n        context._enter(null, context)\n      } else {\n        context._leave(null, context)\n      }\n    } else {\n      if (this.getTipElement().classList.contains(CLASS_NAME_SHOW)) {\n        this._leave(null, this)\n        return\n      }\n\n      this._enter(null, this)\n    }\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(`.${CLASS_NAME_MODAL}`), 'hide.bs.modal', this._hideModalHandler)\n\n    if (this.tip) {\n      this.tip.remove()\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this.isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.Event.SHOW)\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = shadowRoot === null ?\n      this._element.ownerDocument.documentElement.contains(this._element) :\n      shadowRoot.contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    const tip = this.getTipElement()\n    const tipId = getUID(this.constructor.NAME)\n\n    tip.setAttribute('id', tipId)\n    this._element.setAttribute('aria-describedby', tipId)\n\n    this.setContent()\n\n    if (this._config.animation) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    const placement = typeof this._config.placement === 'function' ?\n      this._config.placement.call(this, tip, this._element) :\n      this._config.placement\n\n    const attachment = this._getAttachment(placement)\n    this._addAttachmentClass(attachment)\n\n    const { container } = this._config\n    Data.set(tip, this.constructor.DATA_KEY, this)\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.appendChild(tip)\n      EventHandler.trigger(this._element, this.constructor.Event.INSERTED)\n    }\n\n    if (this._popper) {\n      this._popper.update()\n    } else {\n      this._popper = Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n    }\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    const customClass = typeof this._config.customClass === 'function' ? this._config.customClass() : this._config.customClass\n    if (customClass) {\n      tip.classList.add(...customClass.split(' '))\n    }\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      [].concat(...document.body.children).forEach(element => {\n        EventHandler.on(element, 'mouseover', noop)\n      })\n    }\n\n    const complete = () => {\n      const prevHoverState = this._hoverState\n\n      this._hoverState = null\n      EventHandler.trigger(this._element, this.constructor.Event.SHOWN)\n\n      if (prevHoverState === HOVER_STATE_OUT) {\n        this._leave(null, this)\n      }\n    }\n\n    const isAnimated = this.tip.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(complete, this.tip, isAnimated)\n  }\n\n  hide() {\n    if (!this._popper) {\n      return\n    }\n\n    const tip = this.getTipElement()\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (this._hoverState !== HOVER_STATE_SHOW) {\n        tip.remove()\n      }\n\n      this._cleanTipClass()\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.Event.HIDDEN)\n\n      if (this._popper) {\n        this._popper.destroy()\n        this._popper = null\n      }\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.Event.HIDE)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      [].concat(...document.body.children)\n        .forEach(element => EventHandler.off(element, 'mouseover', noop))\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n\n    const isAnimated = this.tip.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(complete, this.tip, isAnimated)\n    this._hoverState = ''\n  }\n\n  update() {\n    if (this._popper !== null) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n\n  isWithContent() {\n    return Boolean(this.getTitle())\n  }\n\n  getTipElement() {\n    if (this.tip) {\n      return this.tip\n    }\n\n    const element = document.createElement('div')\n    element.innerHTML = this._config.template\n\n    this.tip = element.children[0]\n    return this.tip\n  }\n\n  setContent() {\n    const tip = this.getTipElement()\n    this.setElementContent(SelectorEngine.findOne(SELECTOR_TOOLTIP_INNER, tip), this.getTitle())\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n  }\n\n  setElementContent(element, content) {\n    if (element === null) {\n      return\n    }\n\n    if (isElement(content)) {\n      content = getElement(content)\n\n      // content is a DOM node or a jQuery\n      if (this._config.html) {\n        if (content.parentNode !== element) {\n          element.innerHTML = ''\n          element.appendChild(content)\n        }\n      } else {\n        element.textContent = content.textContent\n      }\n\n      return\n    }\n\n    if (this._config.html) {\n      if (this._config.sanitize) {\n        content = sanitizeHtml(content, this._config.allowList, this._config.sanitizeFn)\n      }\n\n      element.innerHTML = content\n    } else {\n      element.textContent = content\n    }\n  }\n\n  getTitle() {\n    let title = this._element.getAttribute('data-bs-original-title')\n\n    if (!title) {\n      title = typeof this._config.title === 'function' ?\n        this._config.title.call(this._element) :\n        this._config.title\n    }\n\n    return title\n  }\n\n  updateAttachment(attachment) {\n    if (attachment === 'right') {\n      return 'end'\n    }\n\n    if (attachment === 'left') {\n      return 'start'\n    }\n\n    return attachment\n  }\n\n  // Private\n\n  _initializeOnDelegatedTarget(event, context) {\n    const dataKey = this.constructor.DATA_KEY\n    context = context || Data.get(event.delegateTarget, dataKey)\n\n    if (!context) {\n      context = new this.constructor(event.delegateTarget, this._getDelegateConfig())\n      Data.set(event.delegateTarget, dataKey, context)\n    }\n\n    return context\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(val => Number.parseInt(val, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'onChange',\n          enabled: true,\n          phase: 'afterWrite',\n          fn: data => this._handlePopperPlacementChange(data)\n        }\n      ],\n      onFirstUpdate: data => {\n        if (data.options.placement !== data.placement) {\n          this._handlePopperPlacementChange(data)\n        }\n      }\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _addAttachmentClass(attachment) {\n    this.getTipElement().classList.add(`${CLASS_PREFIX}-${this.updateAttachment(attachment)}`)\n  }\n\n  _getAttachment(placement) {\n    return AttachmentMap[placement.toUpperCase()]\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    triggers.forEach(trigger => {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.Event.CLICK, this._config.selector, event => this.toggle(event))\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.Event.MOUSEENTER :\n          this.constructor.Event.FOCUSIN\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.Event.MOUSELEAVE :\n          this.constructor.Event.FOCUSOUT\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => this._enter(event))\n        EventHandler.on(this._element, eventOut, this._config.selector, event => this._leave(event))\n      }\n    })\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(`.${CLASS_NAME_MODAL}`), 'hide.bs.modal', this._hideModalHandler)\n\n    if (this._config.selector) {\n      this._config = {\n        ...this._config,\n        trigger: 'manual',\n        selector: ''\n      }\n    } else {\n      this._fixTitle()\n    }\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n    const originalTitleType = typeof this._element.getAttribute('data-bs-original-title')\n\n    if (title || originalTitleType !== 'string') {\n      this._element.setAttribute('data-bs-original-title', title || '')\n      if (title && !this._element.getAttribute('aria-label') && !this._element.textContent) {\n        this._element.setAttribute('aria-label', title)\n      }\n\n      this._element.setAttribute('title', '')\n    }\n  }\n\n  _enter(event, context) {\n    context = this._initializeOnDelegatedTarget(event, context)\n\n    if (event) {\n      context._activeTrigger[\n        event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER\n      ] = true\n    }\n\n    if (context.getTipElement().classList.contains(CLASS_NAME_SHOW) || context._hoverState === HOVER_STATE_SHOW) {\n      context._hoverState = HOVER_STATE_SHOW\n      return\n    }\n\n    clearTimeout(context._timeout)\n\n    context._hoverState = HOVER_STATE_SHOW\n\n    if (!context._config.delay || !context._config.delay.show) {\n      context.show()\n      return\n    }\n\n    context._timeout = setTimeout(() => {\n      if (context._hoverState === HOVER_STATE_SHOW) {\n        context.show()\n      }\n    }, context._config.delay.show)\n  }\n\n  _leave(event, context) {\n    context = this._initializeOnDelegatedTarget(event, context)\n\n    if (event) {\n      context._activeTrigger[\n        event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER\n      ] = context._element.contains(event.relatedTarget)\n    }\n\n    if (context._isWithActiveTrigger()) {\n      return\n    }\n\n    clearTimeout(context._timeout)\n\n    context._hoverState = HOVER_STATE_OUT\n\n    if (!context._config.delay || !context._config.delay.hide) {\n      context.hide()\n      return\n    }\n\n    context._timeout = setTimeout(() => {\n      if (context._hoverState === HOVER_STATE_OUT) {\n        context.hide()\n      }\n    }, context._config.delay.hide)\n  }\n\n  _isWithActiveTrigger() {\n    for (const trigger in this._activeTrigger) {\n      if (this._activeTrigger[trigger]) {\n        return true\n      }\n    }\n\n    return false\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    Object.keys(dataAttributes).forEach(dataAttr => {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttr)) {\n        delete dataAttributes[dataAttr]\n      }\n    })\n\n    config = {\n      ...this.constructor.Default,\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    typeCheckConfig(NAME, config, this.constructor.DefaultType)\n\n    if (config.sanitize) {\n      config.template = sanitizeHtml(config.template, config.allowList, config.sanitizeFn)\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    if (this._config) {\n      for (const key in this._config) {\n        if (this.constructor.Default[key] !== this._config[key]) {\n          config[key] = this._config[key]\n        }\n      }\n    }\n\n    return config\n  }\n\n  _cleanTipClass() {\n    const tip = this.getTipElement()\n    const tabClass = tip.getAttribute('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length > 0) {\n      tabClass.map(token => token.trim())\n        .forEach(tClass => tip.classList.remove(tClass))\n    }\n  }\n\n  _handlePopperPlacementChange(popperData) {\n    const { state } = popperData\n\n    if (!state) {\n      return\n    }\n\n    this.tip = state.elements.popper\n    this._cleanTipClass()\n    this._addAttachmentClass(this._getAttachment(state.placement))\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Tooltip to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport SelectorEngine from './dom/selector-engine'\nimport Tooltip from './tooltip'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'popover'\nconst DATA_KEY = 'bs.popover'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst CLASS_PREFIX = 'bs-popover'\nconst BSCLS_PREFIX_REGEX = new RegExp(`(^|\\\\s)${CLASS_PREFIX}\\\\S+`, 'g')\n\nconst Default = {\n  ...Tooltip.Default,\n  placement: 'right',\n  offset: [0, 8],\n  trigger: 'click',\n  content: '',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n              '<div class=\"popover-arrow\"></div>' +\n              '<h3 class=\"popover-header\"></h3>' +\n              '<div class=\"popover-body\"></div>' +\n            '</div>'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(string|element|function)'\n}\n\nconst Event = {\n  HIDE: `hide${EVENT_KEY}`,\n  HIDDEN: `hidden${EVENT_KEY}`,\n  SHOW: `show${EVENT_KEY}`,\n  SHOWN: `shown${EVENT_KEY}`,\n  INSERTED: `inserted${EVENT_KEY}`,\n  CLICK: `click${EVENT_KEY}`,\n  FOCUSIN: `focusin${EVENT_KEY}`,\n  FOCUSOUT: `focusout${EVENT_KEY}`,\n  MOUSEENTER: `mouseenter${EVENT_KEY}`,\n  MOUSELEAVE: `mouseleave${EVENT_KEY}`\n}\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Popover extends Tooltip {\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  static get Event() {\n    return Event\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  // Overrides\n\n  isWithContent() {\n    return this.getTitle() || this._getContent()\n  }\n\n  getTipElement() {\n    if (this.tip) {\n      return this.tip\n    }\n\n    this.tip = super.getTipElement()\n\n    if (!this.getTitle()) {\n      SelectorEngine.findOne(SELECTOR_TITLE, this.tip).remove()\n    }\n\n    if (!this._getContent()) {\n      SelectorEngine.findOne(SELECTOR_CONTENT, this.tip).remove()\n    }\n\n    return this.tip\n  }\n\n  setContent() {\n    const tip = this.getTipElement()\n\n    // we use append for html objects to maintain js events\n    this.setElementContent(SelectorEngine.findOne(SELECTOR_TITLE, tip), this.getTitle())\n    let content = this._getContent()\n    if (typeof content === 'function') {\n      content = content.call(this._element)\n    }\n\n    this.setElementContent(SelectorEngine.findOne(SELECTOR_CONTENT, tip), content)\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _addAttachmentClass(attachment) {\n    this.getTipElement().classList.add(`${CLASS_PREFIX}-${this.updateAttachment(attachment)}`)\n  }\n\n  _getContent() {\n    return this._element.getAttribute('data-bs-content') || this._config.content\n  }\n\n  _cleanTipClass() {\n    const tip = this.getTipElement()\n    const tabClass = tip.getAttribute('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length > 0) {\n      tabClass.map(token => token.trim())\n        .forEach(tClass => tip.classList.remove(tClass))\n    }\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Popover to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getSelectorFromElement,\n  getUID,\n  isElement,\n  typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst Default = {\n  offset: 10,\n  method: 'auto',\n  target: ''\n}\n\nconst DefaultType = {\n  offset: 'number',\n  method: 'string',\n  target: '(string|element)'\n}\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_SCROLL = `scroll${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst METHOD_OFFSET = 'offset'\nconst METHOD_POSITION = 'position'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n    this._scrollElement = this._element.tagName === 'BODY' ? window : this._element\n    this._config = this._getConfig(config)\n    this._selector = `${this._config.target} ${SELECTOR_NAV_LINKS}, ${this._config.target} ${SELECTOR_LIST_ITEMS}, ${this._config.target} .${CLASS_NAME_DROPDOWN_ITEM}`\n    this._offsets = []\n    this._targets = []\n    this._activeTarget = null\n    this._scrollHeight = 0\n\n    EventHandler.on(this._scrollElement, EVENT_SCROLL, () => this._process())\n\n    this.refresh()\n    this._process()\n  }\n\n  // Getters\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  refresh() {\n    const autoMethod = this._scrollElement === this._scrollElement.window ?\n      METHOD_OFFSET :\n      METHOD_POSITION\n\n    const offsetMethod = this._config.method === 'auto' ?\n      autoMethod :\n      this._config.method\n\n    const offsetBase = offsetMethod === METHOD_POSITION ?\n      this._getScrollTop() :\n      0\n\n    this._offsets = []\n    this._targets = []\n    this._scrollHeight = this._getScrollHeight()\n\n    const targets = SelectorEngine.find(this._selector)\n\n    targets.map(element => {\n      const targetSelector = getSelectorFromElement(element)\n      const target = targetSelector ? SelectorEngine.findOne(targetSelector) : null\n\n      if (target) {\n        const targetBCR = target.getBoundingClientRect()\n        if (targetBCR.width || targetBCR.height) {\n          return [\n            Manipulator[offsetMethod](target).top + offsetBase,\n            targetSelector\n          ]\n        }\n      }\n\n      return null\n    })\n      .filter(item => item)\n      .sort((a, b) => a[0] - b[0])\n      .forEach(item => {\n        this._offsets.push(item[0])\n        this._targets.push(item[1])\n      })\n  }\n\n  dispose() {\n    EventHandler.off(this._scrollElement, EVENT_KEY)\n    super.dispose()\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...(typeof config === 'object' && config ? config : {})\n    }\n\n    if (typeof config.target !== 'string' && isElement(config.target)) {\n      let { id } = config.target\n      if (!id) {\n        id = getUID(NAME)\n        config.target.id = id\n      }\n\n      config.target = `#${id}`\n    }\n\n    typeCheckConfig(NAME, config, DefaultType)\n\n    return config\n  }\n\n  _getScrollTop() {\n    return this._scrollElement === window ?\n      this._scrollElement.pageYOffset :\n      this._scrollElement.scrollTop\n  }\n\n  _getScrollHeight() {\n    return this._scrollElement.scrollHeight || Math.max(\n      document.body.scrollHeight,\n      document.documentElement.scrollHeight\n    )\n  }\n\n  _getOffsetHeight() {\n    return this._scrollElement === window ?\n      window.innerHeight :\n      this._scrollElement.getBoundingClientRect().height\n  }\n\n  _process() {\n    const scrollTop = this._getScrollTop() + this._config.offset\n    const scrollHeight = this._getScrollHeight()\n    const maxScroll = this._config.offset + scrollHeight - this._getOffsetHeight()\n\n    if (this._scrollHeight !== scrollHeight) {\n      this.refresh()\n    }\n\n    if (scrollTop >= maxScroll) {\n      const target = this._targets[this._targets.length - 1]\n\n      if (this._activeTarget !== target) {\n        this._activate(target)\n      }\n\n      return\n    }\n\n    if (this._activeTarget && scrollTop < this._offsets[0] && this._offsets[0] > 0) {\n      this._activeTarget = null\n      this._clear()\n      return\n    }\n\n    for (let i = this._offsets.length; i--;) {\n      const isActiveTarget = this._activeTarget !== this._targets[i] &&\n          scrollTop >= this._offsets[i] &&\n          (typeof this._offsets[i + 1] === 'undefined' || scrollTop < this._offsets[i + 1])\n\n      if (isActiveTarget) {\n        this._activate(this._targets[i])\n      }\n    }\n  }\n\n  _activate(target) {\n    this._activeTarget = target\n\n    this._clear()\n\n    const queries = this._selector.split(',')\n      .map(selector => `${selector}[data-bs-target=\"${target}\"],${selector}[href=\"${target}\"]`)\n\n    const link = SelectorEngine.findOne(queries.join(','))\n\n    if (link.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, link.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n\n      link.classList.add(CLASS_NAME_ACTIVE)\n    } else {\n      // Set triggered link as active\n      link.classList.add(CLASS_NAME_ACTIVE)\n\n      SelectorEngine.parents(link, SELECTOR_NAV_LIST_GROUP)\n        .forEach(listGroup => {\n          // Set triggered links parents as active\n          // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n          SelectorEngine.prev(listGroup, `${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`)\n            .forEach(item => item.classList.add(CLASS_NAME_ACTIVE))\n\n          // Handle special case when .nav-link is inside .nav-item\n          SelectorEngine.prev(listGroup, SELECTOR_NAV_ITEMS)\n            .forEach(navItem => {\n              SelectorEngine.children(navItem, SELECTOR_NAV_LINKS)\n                .forEach(item => item.classList.add(CLASS_NAME_ACTIVE))\n            })\n        })\n    }\n\n    EventHandler.trigger(this._scrollElement, EVENT_ACTIVATE, {\n      relatedTarget: target\n    })\n  }\n\n  _clear() {\n    SelectorEngine.find(this._selector)\n      .filter(node => node.classList.contains(CLASS_NAME_ACTIVE))\n      .forEach(node => node.classList.remove(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  SelectorEngine.find(SELECTOR_DATA_SPY)\n    .forEach(spy => new ScrollSpy(spy))\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .ScrollSpy to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isDisabled,\n  reflow\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_MENU = 'dropdown-menu'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ACTIVE_UL = ':scope > li > .active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_ACTIVE_CHILD = ':scope > .dropdown-menu .active'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Tab extends BaseComponent {\n  // Getters\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  show() {\n    if ((this._element.parentNode &&\n      this._element.parentNode.nodeType === Node.ELEMENT_NODE &&\n      this._element.classList.contains(CLASS_NAME_ACTIVE))) {\n      return\n    }\n\n    let previous\n    const target = getElementFromSelector(this._element)\n    const listElement = this._element.closest(SELECTOR_NAV_LIST_GROUP)\n\n    if (listElement) {\n      const itemSelector = listElement.nodeName === 'UL' || listElement.nodeName === 'OL' ? SELECTOR_ACTIVE_UL : SELECTOR_ACTIVE\n      previous = SelectorEngine.find(itemSelector, listElement)\n      previous = previous[previous.length - 1]\n    }\n\n    const hideEvent = previous ?\n      EventHandler.trigger(previous, EVENT_HIDE, {\n        relatedTarget: this._element\n      }) :\n      null\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget: previous\n    })\n\n    if (showEvent.defaultPrevented || (hideEvent !== null && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._activate(this._element, listElement)\n\n    const complete = () => {\n      EventHandler.trigger(previous, EVENT_HIDDEN, {\n        relatedTarget: this._element\n      })\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget: previous\n      })\n    }\n\n    if (target) {\n      this._activate(target, target.parentNode, complete)\n    } else {\n      complete()\n    }\n  }\n\n  // Private\n\n  _activate(element, container, callback) {\n    const activeElements = container && (container.nodeName === 'UL' || container.nodeName === 'OL') ?\n      SelectorEngine.find(SELECTOR_ACTIVE_UL, container) :\n      SelectorEngine.children(container, SELECTOR_ACTIVE)\n\n    const active = activeElements[0]\n    const isTransitioning = callback && (active && active.classList.contains(CLASS_NAME_FADE))\n\n    const complete = () => this._transitionComplete(element, active, callback)\n\n    if (active && isTransitioning) {\n      active.classList.remove(CLASS_NAME_SHOW)\n      this._queueCallback(complete, element, true)\n    } else {\n      complete()\n    }\n  }\n\n  _transitionComplete(element, active, callback) {\n    if (active) {\n      active.classList.remove(CLASS_NAME_ACTIVE)\n\n      const dropdownChild = SelectorEngine.findOne(SELECTOR_DROPDOWN_ACTIVE_CHILD, active.parentNode)\n\n      if (dropdownChild) {\n        dropdownChild.classList.remove(CLASS_NAME_ACTIVE)\n      }\n\n      if (active.getAttribute('role') === 'tab') {\n        active.setAttribute('aria-selected', false)\n      }\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n    if (element.getAttribute('role') === 'tab') {\n      element.setAttribute('aria-selected', true)\n    }\n\n    reflow(element)\n\n    if (element.classList.contains(CLASS_NAME_FADE)) {\n      element.classList.add(CLASS_NAME_SHOW)\n    }\n\n    let parent = element.parentNode\n    if (parent && parent.nodeName === 'LI') {\n      parent = parent.parentNode\n    }\n\n    if (parent && parent.classList.contains(CLASS_NAME_DROPDOWN_MENU)) {\n      const dropdownElement = element.closest(SELECTOR_DROPDOWN)\n\n      if (dropdownElement) {\n        SelectorEngine.find(SELECTOR_DROPDOWN_TOGGLE, dropdownElement)\n          .forEach(dropdown => dropdown.classList.add(CLASS_NAME_ACTIVE))\n      }\n\n      element.setAttribute('aria-expanded', true)\n    }\n\n    if (callback) {\n      callback()\n    }\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  const data = Tab.getOrCreateInstance(this)\n  data.show()\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Tab to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  reflow,\n  typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\nconst SELECTOR_DATA_DISMISS = '[data-bs-dismiss=\"toast\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element)\n\n    this._config = this._getConfig(config)\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get Default() {\n    return Default\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      this._element.classList.add(CLASS_NAME_SHOW)\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE)\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this._element.classList.contains(CLASS_NAME_SHOW)) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this._element.classList.contains(CLASS_NAME_SHOW)) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  // Private\n\n  _getConfig(config) {\n    config = {\n      ...Default,\n      ...Manipulator.getDataAttributes(this._element),\n      ...(typeof config === 'object' && config ? config : {})\n    }\n\n    typeCheckConfig(NAME, config, this.constructor.DefaultType)\n\n    return config\n  }\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        this._hasMouseInteraction = isInteracting\n        break\n      case 'focusin':\n      case 'focusout':\n        this._hasKeyboardInteraction = isInteracting\n        break\n      default:\n        break\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_CLICK_DISMISS, SELECTOR_DATA_DISMISS, () => this.hide())\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Toast to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.0.2): index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert'\nimport Button from './src/button'\nimport Carousel from './src/carousel'\nimport Collapse from './src/collapse'\nimport Dropdown from './src/dropdown'\nimport Modal from './src/modal'\nimport Offcanvas from './src/offcanvas'\nimport Popover from './src/popover'\nimport ScrollSpy from './src/scrollspy'\nimport Tab from './src/tab'\nimport Toast from './src/toast'\nimport Tooltip from './src/tooltip'\n\nexport default {\n  Alert,\n  Button,\n  Carousel,\n  Collapse,\n  Dropdown,\n  Modal,\n  Offcanvas,\n  Popover,\n  ScrollSpy,\n  Tab,\n  Toast,\n  Tooltip\n}\n"]}
\ No newline at end of file

From 4e024f4fa5fe2372ffe2f0378cec37f3835b0a2f Mon Sep 17 00:00:00 2001
From: Jonathan Albrecht <jonathan.albrecht@ibm.com>
Date: Mon, 10 Feb 2025 11:34:44 -0800
Subject: [PATCH 969/986] [SPARK-51093][SQL][TESTS][3.5] Fix minor endianness
 issues in tests

This is the branch-3.5 backport of https://github.com/apache/spark/pull/49812

### What changes were proposed in this pull request?
Fix minor endianness issues in the following tests.

ArrayBasedMapBuilderSuite: The output of the UnsafeRow.toString() is based on the underlying bytes and is endian dependent. Add an expected value for big endian platforms. Add an expected value for big endian platforms.

WriteDistributionAndOrderingSuite: Casting the id of type Int to Long doesn't work on big endian platforms because the BucketFunction calls UnsafeRow.getLong() for that column. That happens to work on little endian since an int field is stored in the first 4 bytes of the 8 byte field so positive ints are layed out the same as positive longs ie. little endian order. On big endian, the layout of UnsafeRow int fields does not happen to match the layout of long fields for the same number. Change the type of the id column to Long so that it matches what BucketFunction expects. Change the type of the id column to Long so that it matches what BucketFunction expects.

### Why are the changes needed?
Allow tests to pass on big endian platforms

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
Ran existing tests on amd64 (little endian) and s390x (big endian)

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #49866 from jonathan-albrecht-ibm/branch-3.5-endian-testEndianness.

Authored-by: Jonathan Albrecht <jonathan.albrecht@ibm.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/sql/catalyst/util/ArrayBasedMapBuilderSuite.scala   | 2 +-
 .../sql/connector/WriteDistributionAndOrderingSuite.scala     | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayBasedMapBuilderSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayBasedMapBuilderSuite.scala
index 5811f4cd4c850..cc3d6a71e52cb 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayBasedMapBuilderSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/ArrayBasedMapBuilderSuite.scala
@@ -118,7 +118,7 @@ class ArrayBasedMapBuilderSuite extends SparkFunSuite with SQLHelper {
       exception = intercept[SparkRuntimeException](builder.put(unsafeRow, 3)),
       errorClass = "DUPLICATED_MAP_KEY",
       parameters = Map(
-        "key" -> "[0,1]",
+        "key" -> unsafeRow.toString(),
         "mapKeyDedupPolicy" -> "\"spark.sql.mapKeyDedupPolicy\"")
     )
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
index 40938eb642478..12007cd94cd54 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
@@ -70,7 +70,7 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
   private val tableNameAsString = "testcat." + ident.toString
   private val emptyProps = Collections.emptyMap[String, String]
   private val schema = new StructType()
-    .add("id", IntegerType)
+    .add("id", LongType)
     .add("data", StringType)
     .add("day", DateType)
 
@@ -1122,7 +1122,7 @@ class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
         Seq.empty
       ),
       catalyst.expressions.SortOrder(
-        ApplyFunctionExpression(BucketFunction, Seq(Literal(10), Cast(attr("id"), LongType))),
+        ApplyFunctionExpression(BucketFunction, Seq(Literal(10), attr("id"))),
         catalyst.expressions.Descending,
         catalyst.expressions.NullsFirst,
         Seq.empty

From 012df447e299344c6ff4bb812fead76471974ee2 Mon Sep 17 00:00:00 2001
From: Josh Rosen <joshrosen@databricks.com>
Date: Tue, 11 Feb 2025 11:27:19 +0800
Subject: [PATCH 970/986] [MINOR][DOCS] Fix incorrect description of constraint
 on spark.sql.adaptive.coalescePartitions.minPartitionSize
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### What changes were proposed in this pull request?

This PR addresses a minor problem in the SQL performance guide's description of the `spark.sql.adaptive.coalescePartitions.minPartitionSize` configuration.

Currently, the guide says:

> The minimum size of shuffle partitions after coalescing. Its value can be at most 20% of `spark.sql.adaptive.advisoryPartitionSizeInBytes`. This is useful when the target size is ignored during partition coalescing, which is the default case.

but the second sentence is not true because the 20% limitation was removed in https://github.com/apache/spark/pull/33655#discussion_r683582184 (SPARK-36430), which shipped in 3.2.0. That PR updated the in-code description but not the guide on the web.

### Why are the changes needed?

Incorrect doc is misleading.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

n/a

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49872 from JoshRosen/fix-spark.sql.adaptive.coalescePartitions.minPartitionSize-doc.

Authored-by: Josh Rosen <joshrosen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit e7ceb5b7e1196890a0020214a6144b8d6768f53c)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 docs/sql-performance-tuning.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sql-performance-tuning.md b/docs/sql-performance-tuning.md
index 2dec65cc553ed..9b506e175f6eb 100644
--- a/docs/sql-performance-tuning.md
+++ b/docs/sql-performance-tuning.md
@@ -275,7 +275,7 @@ This feature coalesces the post shuffle partitions based on the map output stati
      <td><code>spark.sql.adaptive.coalescePartitions.minPartitionSize</code></td>
      <td>1MB</td>
      <td>
-       The minimum size of shuffle partitions after coalescing. Its value can be at most 20% of <code>spark.sql.adaptive.advisoryPartitionSizeInBytes</code>. This is useful when the target size is ignored during partition coalescing, which is the default case.
+       The minimum size of shuffle partitions after coalescing. This is useful when the target size is ignored during partition coalescing, which is the default case.
      </td>
      <td>3.2.0</td>
    </tr>

From af45325e347b2711e74c16471c689618468cda9b Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Tue, 11 Feb 2025 13:13:09 -0800
Subject: [PATCH 971/986] [SPARK-51164][CORE][TESTS] Fix `CallerContext` test
 by enabling `hadoop.caller.context.enabled`

### What changes were proposed in this pull request?

This PR aims to fix `CallerContext` test by enabling `hadoop.caller.context.enabled` during tests.

### Why are the changes needed?

This test case was disabled since Apache Spark 2.1.0 because `CallerContext` was supported since Apache Hadoop 2.8+.
- #15377

We need to recover `CallerContext` test coverage.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49893 from dongjoon-hyun/SPARK-51164.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit d07b56002346caf4b29b52a69f2f1a03ec5686e7)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 core/src/test/scala/org/apache/spark/util/UtilsSuite.scala | 4 +---
 pom.xml                                                    | 1 +
 project/SparkBuild.scala                                   | 1 +
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 6a1a4e29d06b6..c09ea80bb9fe5 100644
--- a/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -966,9 +966,7 @@ class UtilsSuite extends SparkFunSuite with ResetSystemProperties {
   test("Set Spark CallerContext") {
     val context = "test"
     new CallerContext(context).setCurrentContext()
-    if (CallerContext.callerContextEnabled) {
-      assert(s"SPARK_$context" === HadoopCallerContext.getCurrent.toString)
-    }
+    assert(s"SPARK_$context" === HadoopCallerContext.getCurrent.toString)
   }
 
   test("encodeFileNameToURIRawPath") {
diff --git a/pom.xml b/pom.xml
index 6c3c6c7c21080..dea2b27c111b3 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3064,6 +3064,7 @@
               <spark.ui.enabled>false</spark.ui.enabled>
               <spark.ui.showConsoleProgress>false</spark.ui.showConsoleProgress>
               <spark.unsafe.exceptionOnMemoryLeak>true</spark.unsafe.exceptionOnMemoryLeak>
+              <spark.hadoop.hadoop.caller.context.enabled>true</spark.hadoop.hadoop.caller.context.enabled>
               <spark.memory.debugFill>true</spark.memory.debugFill>
               <!-- Needed by sql/hive tests. -->
               <test.src.tables>src</test.src.tables>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 162f34415c53b..6ada40d671913 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1600,6 +1600,7 @@ object TestSettings {
     (Test / javaOptions) += "-Dspark.ui.enabled=false",
     (Test / javaOptions) += "-Dspark.ui.showConsoleProgress=false",
     (Test / javaOptions) += "-Dspark.unsafe.exceptionOnMemoryLeak=true",
+    (Test / javaOptions) += "-Dspark.hadoop.hadoop.caller.context.enabled=true",
     (Test / javaOptions) += "-Dhive.conf.validation=false",
     (Test / javaOptions) += "-Dsun.io.serialization.extendedDebugInfo=false",
     (Test / javaOptions) += "-Dderby.system.durability=test",

From 2ea2c0b24e7c256d2f986870db30cf92f09b4d80 Mon Sep 17 00:00:00 2001
From: Chris Nauroth <cnauroth@apache.org>
Date: Tue, 11 Feb 2025 17:28:30 -0800
Subject: [PATCH 972/986] [SPARK-51164][CORE][TESTS][FOLLOWUP] Add
 hadoop.caller.context.enabled for scalatest-maven-plugin

### What changes were proposed in this pull request?

Apply previous SPARK-51164 fix to `mvn test` invocations of scalatest-maven-plugin.

### Why are the changes needed?

I found that the previous SPARK-51164 fix was working well for `sbt` test invocations. However, I was seeing `UtilsSuite` fail when invoked through `mvn`. The previous fix applied the `hadoop.caller.context.enabled` configuration to the Java tests run through maven-surefire-plugin. This patch applies the same change for the Scala tests run through scalatest-maven-plugin.

### Does this PR introduce _any_ user-facing change?

No. This change only impacts tests.

### How was this patch tested?

```
build/mvn -o -pl core test -Dtest=none -Dsuites=org.apache.spark.util.UtilsSuite

Run completed in 8 seconds, 900 milliseconds.
Total number of tests run: 61
Suites: completed 1, aborted 0
Tests: succeeded 61, failed 0, canceled 0, ignored 0, pending 0
All tests passed.
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49898 from cnauroth/SPARK-51164-mvn-scalatest.

Authored-by: Chris Nauroth <cnauroth@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit e2c81ade5c89d54b6fb1ed72cdb36c4bcacd0fcf)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 pom.xml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pom.xml b/pom.xml
index dea2b27c111b3..67239569f228d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -3112,6 +3112,7 @@
               <derby.system.durability>test</derby.system.durability>
               <java.awt.headless>true</java.awt.headless>
               <java.io.tmpdir>${project.build.directory}/tmp</java.io.tmpdir>
+              <spark.hadoop.hadoop.caller.context.enabled>true</spark.hadoop.hadoop.caller.context.enabled>
               <spark.test.home>${spark.test.home}</spark.test.home>
               <spark.testing>1</spark.testing>
               <spark.ui.enabled>false</spark.ui.enabled>

From 6084757501e79ecdda24f5c8f72c345a303188c8 Mon Sep 17 00:00:00 2001
From: Kent Yao <yao@apache.org>
Date: Wed, 12 Feb 2025 07:12:06 -0800
Subject: [PATCH 973/986] [SPARK-51157][SQL][3.5] Add missing @VarArgs Scala
 annotation for Scala function APIs

### What changes were proposed in this pull request?
This PR adds missing `varargs` Scala annotation for Scala function APIs

### Why are the changes needed?

To instruct the compiler to generate java varargs-style forwarder methods for interop

### Does this PR introduce _any_ user-facing change?

No, do not change the current behavior.

### How was this patch tested?

w/o `varargs`:
![image](https://github.com/user-attachments/assets/6c9b212f-6db5-429e-80cb-c48bb213ee9d)

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #49906 from yaooqinn/SPARK-51157-35.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../src/main/scala/org/apache/spark/sql/functions.scala    | 7 +++++++
 .../src/main/scala/org/apache/spark/sql/functions.scala    | 7 +++++++
 2 files changed, 14 insertions(+)

diff --git a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
index 8f55954a63f33..93762037ece52 100644
--- a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/functions.scala
@@ -146,6 +146,7 @@ object functions {
    * @group normal_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def named_struct(cols: Column*): Column = Column.fn("named_struct", cols: _*)
 
   //////////////////////////////////////////////////////////////////////////////////////////////
@@ -591,6 +592,7 @@ object functions {
    * @group agg_funcs
    * @since 3.4.0
    */
+  @scala.annotation.varargs
   def grouping_id(cols: Column*): Column = Column.fn("grouping_id", cols: _*)
 
   /**
@@ -606,6 +608,7 @@ object functions {
    * @group agg_funcs
    * @since 3.4.0
    */
+  @scala.annotation.varargs
   def grouping_id(colName: String, colNames: String*): Column =
     grouping_id((Seq(colName) ++ colNames).map(n => Column(n)): _*)
 
@@ -3611,6 +3614,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def reflect(cols: Column*): Column = Column.fn("reflect", cols: _*)
 
   /**
@@ -3619,6 +3623,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def java_method(cols: Column*): Column = Column.fn("java_method", cols: _*)
 
   /**
@@ -3645,6 +3650,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def stack(cols: Column*): Column = Column.fn("stack", cols: _*)
 
   /**
@@ -4419,6 +4425,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def printf(format: Column, arguments: Column*): Column =
     Column.fn("printf", (format +: arguments): _*)
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index 5653591d45e52..c1e59f9d73907 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -623,6 +623,7 @@ object functions {
    * @group agg_funcs
    * @since 2.0.0
    */
+  @scala.annotation.varargs
   def grouping_id(cols: Column*): Column = Column(GroupingID(cols.map(_.expr)))
 
   /**
@@ -637,6 +638,7 @@ object functions {
    * @group agg_funcs
    * @since 2.0.0
    */
+  @scala.annotation.varargs
   def grouping_id(colName: String, colNames: String*): Column = {
     grouping_id((Seq(colName) ++ colNames).map(n => Column(n)) : _*)
   }
@@ -1676,6 +1678,7 @@ object functions {
    * @group normal_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def named_struct(cols: Column*): Column = withExpr { CreateNamedStruct(cols.map(_.expr)) }
 
   /**
@@ -3661,6 +3664,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def reflect(cols: Column*): Column = withExpr {
     CallMethodViaReflection(cols.map(_.expr))
   }
@@ -3671,6 +3675,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def java_method(cols: Column*): Column =
     call_function("java_method", cols: _*)
 
@@ -3702,6 +3707,7 @@ object functions {
    * @group misc_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def stack(cols: Column*): Column = withExpr {
     Stack(cols.map(_.expr))
   }
@@ -4547,6 +4553,7 @@ object functions {
    * @group string_funcs
    * @since 3.5.0
    */
+  @scala.annotation.varargs
   def printf(format: Column, arguments: Column*): Column =
     call_function("printf", (format +: arguments): _*)
 

From 496245314a7d284ed94594051b9f60185a131a67 Mon Sep 17 00:00:00 2001
From: Jonathan Albrecht <jonathan.albrecht@ibm.com>
Date: Wed, 12 Feb 2025 14:38:34 -0800
Subject: [PATCH 974/986] [SPARK-51042][SQL][3.5] Read and write the month and
 days fields of intervals with one call in Unsafe* classes

This is the branch-3.5 backport of https://github.com/apache/spark/pull/49737

### What changes were proposed in this pull request?

Write the month and days fields of intervals with one call to Platform.put/getLong() instead of two calls to Platform.put/getInt().

In commit ac07cea234f4fb687442aafa8b6d411695110a4e there was a performance improvement to reading a writing CalendarIntervals in UnsafeRow. This makes writing intervals consistent with UnsafeRow and has better performance compared to the original code.

This also fixes big endian platforms where the old (two calls to getput) and new methods of reading and writing CalendarIntervals do not order the bytes in the same way. Currently CalendarInterval related tests in Catalyst and SQL are failing on big endian platforms.

There is no effect on little endian platforms (byte order is not affected) except for performance improvement.

### Why are the changes needed?

* Improves performance reading and writing CalendarIntervals in Unsafe* classes
* Fixes big endian platforms where CalendarIntervals are not read or written correctly in Unsafe* classes

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing unit tests on big and little endian platforms

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49912 from jonathan-albrecht-ibm/branch-3.5-endian-interval.

Authored-by: Jonathan Albrecht <jonathan.albrecht@ibm.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../spark/sql/catalyst/expressions/UnsafeArrayData.java      | 5 +++--
 .../spark/sql/catalyst/expressions/codegen/UnsafeWriter.java | 5 +++--
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
index 6bea714e7d58a..a98f77895da18 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
@@ -225,8 +225,9 @@ public CalendarInterval getInterval(int ordinal) {
     if (isNullAt(ordinal)) return null;
     final long offsetAndSize = getLong(ordinal);
     final int offset = (int) (offsetAndSize >> 32);
-    final int months = Platform.getInt(baseObject, baseOffset + offset);
-    final int days = Platform.getInt(baseObject, baseOffset + offset + 4);
+    final long monthAndDays = Platform.getLong(baseObject, baseOffset + offset);
+    final int months = (int) (0xFFFFFFFFL & monthAndDays);
+    final int days = (int) ((0xFFFFFFFF00000000L & monthAndDays) >> 32);
     final long microseconds = Platform.getLong(baseObject, baseOffset + offset + 8);
     return new CalendarInterval(months, days, microseconds);
   }
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UnsafeWriter.java b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UnsafeWriter.java
index 8d4e187d01a12..f27f5b61f3e22 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UnsafeWriter.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UnsafeWriter.java
@@ -139,8 +139,9 @@ public void write(int ordinal, CalendarInterval input) {
       BitSetMethods.set(getBuffer(), startingOffset, ordinal);
     } else {
       // Write the months, days and microseconds fields of interval to the variable length portion.
-      Platform.putInt(getBuffer(), cursor(), input.months);
-      Platform.putInt(getBuffer(), cursor() + 4, input.days);
+      long longVal =
+        ((long) input.months & 0xFFFFFFFFL) | (((long) input.days << 32) & 0xFFFFFFFF00000000L);
+      Platform.putLong(getBuffer(), cursor(), longVal);
       Platform.putLong(getBuffer(), cursor() + 8, input.microseconds);
     }
     // we need to reserve the space so that we can update it later.

From 030e69139082715191c271256813cea6b60d8a04 Mon Sep 17 00:00:00 2001
From: Dima <dimanowq@gmail.com>
Date: Tue, 18 Feb 2025 20:46:08 +0800
Subject: [PATCH 975/986] [SPARK-51219][SQL] Fix `ShowTablesExec.isTempView` to
 work with non-`V2SessionCatalog` catalogs

When non buildin catalog is configured (for example, `org.apache.spark.sql.delta.catalog.DeltaCatalog`) and there is a temp table in catalog, running catalog listTable will fail:
```scala
spark.conf.set("spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog")

spark.range(0,2).createOrReplaceTempView("abc")
spark.catalog.listTables().show()

// org.apache.spark.sql.catalyst.parser.ParseException:
// [PARSE_EMPTY_STATEMENT] Syntax error, unexpected empty statement. SQLSTATE: 42617 (line 1, pos 0)
//
// == SQL ==
//
// ^^^
```

If default `V2SessionCatalog` catalog is in use, or there are no temp tables, the same command run without issues.

This behavior is due to `ShowTablesExec. isTempView ` method, where only for `V2SessionCatalog` catalogs dedicated `isTempView` is executed. This PR fixes that, by using `session.sessionState.catalog.isTempView` instead.

To avoid unnecessary fails when a non-buildin v2 catalog is in use.

No.

New unit tests.

No.

Closes #49959 from ostronaut/features/fix-ShowTablesExec-isTempView.

Authored-by: Dima <dimanowq@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit aa37f89811878d9993962c75b73025bcadcbb6f5)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../execution/datasources/v2/ShowTablesExec.scala | 15 ++++++++-------
 .../apache/spark/sql/internal/CatalogSuite.scala  | 12 +++++++++++-
 2 files changed, 19 insertions(+), 8 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
index cde3dfb7ead58..f314dfd791195 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
@@ -22,9 +22,10 @@ import scala.collection.mutable.ArrayBuffer
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.Attribute
 import org.apache.spark.sql.catalyst.util.StringUtils
-import org.apache.spark.sql.connector.catalog.{Identifier, TableCatalog}
+import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Identifier, TableCatalog}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.NamespaceHelper
 import org.apache.spark.sql.execution.LeafExecNode
+import org.apache.spark.util.ArrayImplicits._
 
 /**
  * Physical plan node for showing tables.
@@ -40,17 +41,17 @@ case class ShowTablesExec(
     val tables = catalog.listTables(namespace.toArray)
     tables.map { table =>
       if (pattern.map(StringUtils.filterPattern(Seq(table.name()), _).nonEmpty).getOrElse(true)) {
-        rows += toCatalystRow(table.namespace().quoted, table.name(), isTempView(table))
+        rows += toCatalystRow(table.namespace().quoted, table.name(), isTempView(table, catalog))
       }
     }
 
     rows.toSeq
   }
 
-  private def isTempView(ident: Identifier): Boolean = {
-    catalog match {
-      case s: V2SessionCatalog => s.isTempView(ident)
-      case _ => false
-    }
+  private def isTempView(ident: Identifier, catalog: TableCatalog): Boolean = {
+    if (CatalogV2Util.isSessionCatalog(catalog)) {
+      session.sessionState.catalog
+        .isTempView((ident.namespace() :+ ident.name()).toImmutableArraySeq)
+    } else false
   }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
index 470bd15cc418c..37fc4a07e6e0e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala
@@ -29,7 +29,7 @@ import org.apache.spark.sql.catalyst.analysis.AnalysisTest
 import org.apache.spark.sql.catalyst.catalog._
 import org.apache.spark.sql.catalyst.expressions.Expression
 import org.apache.spark.sql.catalyst.plans.logical.Range
-import org.apache.spark.sql.connector.FakeV2Provider
+import org.apache.spark.sql.connector.{FakeV2Provider, InMemoryTableSessionCatalog}
 import org.apache.spark.sql.connector.catalog.{CatalogManager, Identifier, InMemoryCatalog}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
 import org.apache.spark.sql.connector.catalog.functions._
@@ -217,6 +217,16 @@ class CatalogSuite extends SharedSparkSession with AnalysisTest with BeforeAndAf
       Set("testcat.my_db.my_table2"))
   }
 
+  test("SPARK-51219: list tables with non-buildin V2 catalog") {
+    withSQLConf(SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION.key ->
+      classOf[InMemoryTableSessionCatalog].getName) {
+      createTable("my_table")
+      createTempTable("my_temp_table")
+      assert(spark.catalog.listTables().collect().map(_.name).toSet ==
+        Set("my_table", "my_temp_table"))
+    }
+  }
+
   test("list tables with database") {
     assert(spark.catalog.listTables("default").collect().isEmpty)
     createDatabase("my_db1")

From 4d15f6465b7a163d04dcec7ec748c78e1217d0fb Mon Sep 17 00:00:00 2001
From: Dima <dimanowq@gmail.com>
Date: Thu, 20 Feb 2025 11:03:37 +0800
Subject: [PATCH 976/986] [SPARK-51219][SQL][TESTS][FOLLOWUP] ShowTablesExec`
 remove `ArrayImplicits`

### What changes were proposed in this pull request?

Related to https://github.com/apache/spark/pull/49144. scala 2.12 is failing with `ArrayImplicits`, which is in use for `ShowTablesExec.isTempView` method. This PR removes `org.apache.spark.util.ArrayImplicits._` from `ShowTablesExec` and uses default Seq instead.

### Why are the changes needed?

To fix failing scala 2.12 compilation isssu.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing init tests and actions run.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #50008 from ostronaut/features/ShowTablesExec-remove-ArrayImplicits.

Authored-by: Dima <dimanowq@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/execution/datasources/v2/ShowTablesExec.scala   | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
index f314dfd791195..3232bf5ac016c 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablesExec.scala
@@ -25,7 +25,6 @@ import org.apache.spark.sql.catalyst.util.StringUtils
 import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Identifier, TableCatalog}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.NamespaceHelper
 import org.apache.spark.sql.execution.LeafExecNode
-import org.apache.spark.util.ArrayImplicits._
 
 /**
  * Physical plan node for showing tables.
@@ -50,8 +49,7 @@ case class ShowTablesExec(
 
   private def isTempView(ident: Identifier, catalog: TableCatalog): Boolean = {
     if (CatalogV2Util.isSessionCatalog(catalog)) {
-      session.sessionState.catalog
-        .isTempView((ident.namespace() :+ ident.name()).toImmutableArraySeq)
+      session.sessionState.catalog.isTempView(ident.namespace() :+ ident.name())
     } else false
   }
 }

From 23637fe83e1f3c1224ffd5b75b65c1dde4fcb49a Mon Sep 17 00:00:00 2001
From: Lukas Rupprecht <lukas.l.rupprecht@gmail.com>
Date: Fri, 21 Feb 2025 09:36:24 +0800
Subject: [PATCH 977/986] [SPARK-51185][CORE][3.5] Revert simplifications to
 PartitionedFileUtil API to reduce memory requirements

### What changes were proposed in this pull request?

This PR reverts an earlier change (https://github.com/apache/spark/pull/41632) that converted FileStatusWithMetadata.getPath from a def to a lazy val in order to simplify the PartitionedFileUtils helpers.

This is the 3.5 PR. The main PR for 4.0 is https://github.com/apache/spark/pull/49915.

### Why are the changes needed?

The conversion of getPath from a def to a lazy val increases the memory requirements because now paths need to be kept in memory as long as the FileStatusWithMetadata exists. As paths are expensive to store, this can lead to higher memory utilization and increase the risk for OOMs.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

This is a small revert to code that has already existed before so the existing tests are sufficient.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #49995 from LukasRupprecht/def_get-path_3.5.

Authored-by: Lukas Rupprecht <lukas.l.rupprecht@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
---
 .../spark/sql/execution/DataSourceScanExec.scala       |  9 ++++++---
 .../spark/sql/execution/PartitionedFileUtil.scala      | 10 ++++++----
 .../spark/sql/execution/datasources/FileIndex.scala    |  3 +--
 .../spark/sql/execution/datasources/v2/FileScan.scala  |  4 +++-
 4 files changed, 16 insertions(+), 10 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
index 6375cdacaa07e..0c2bb7aab54ad 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
@@ -624,7 +624,7 @@ case class FileSourceScanExec(
     logInfo(s"Planning with ${bucketSpec.numBuckets} buckets")
     val filesGroupedToBuckets =
       selectedPartitions.flatMap { p =>
-        p.files.map(f => PartitionedFileUtil.getPartitionedFile(f, p.values))
+        p.files.map(f => PartitionedFileUtil.getPartitionedFile(f, f.getPath, p.values))
       }.groupBy { f =>
         BucketingUtils
           .getBucketId(f.toPath.getName)
@@ -689,12 +689,15 @@ case class FileSourceScanExec(
 
     val splitFiles = selectedPartitions.flatMap { partition =>
       partition.files.flatMap { file =>
-        if (shouldProcess(file.getPath)) {
+        // getPath() is very expensive so we only want to call it once in this block:
+        val filePath = file.getPath
+        if (shouldProcess(filePath)) {
           val isSplitable = relation.fileFormat.isSplitable(
-              relation.sparkSession, relation.options, file.getPath)
+              relation.sparkSession, relation.options, filePath)
           PartitionedFileUtil.splitFiles(
             sparkSession = relation.sparkSession,
             file = file,
+            filePath = filePath,
             isSplitable = isSplitable,
             maxSplitBytes = maxSplitBytes,
             partitionValues = partition.values
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/PartitionedFileUtil.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/PartitionedFileUtil.scala
index cc234565d1112..dcc2114b54dc8 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/PartitionedFileUtil.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/PartitionedFileUtil.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.execution
 
-import org.apache.hadoop.fs.{BlockLocation, FileStatus, LocatedFileStatus}
+import org.apache.hadoop.fs.{BlockLocation, FileStatus, LocatedFileStatus, Path}
 
 import org.apache.spark.paths.SparkPath
 import org.apache.spark.sql.SparkSession
@@ -28,6 +28,7 @@ object PartitionedFileUtil {
   def splitFiles(
       sparkSession: SparkSession,
       file: FileStatusWithMetadata,
+      filePath: Path,
       isSplitable: Boolean,
       maxSplitBytes: Long,
       partitionValues: InternalRow): Seq[PartitionedFile] = {
@@ -36,19 +37,20 @@ object PartitionedFileUtil {
         val remaining = file.getLen - offset
         val size = if (remaining > maxSplitBytes) maxSplitBytes else remaining
         val hosts = getBlockHosts(getBlockLocations(file.fileStatus), offset, size)
-        PartitionedFile(partitionValues, SparkPath.fromPath(file.getPath), offset, size, hosts,
+        PartitionedFile(partitionValues, SparkPath.fromPath(filePath), offset, size, hosts,
           file.getModificationTime, file.getLen, file.metadata)
       }
     } else {
-      Seq(getPartitionedFile(file, partitionValues))
+      Seq(getPartitionedFile(file, filePath, partitionValues))
     }
   }
 
   def getPartitionedFile(
       file: FileStatusWithMetadata,
+      filePath: Path,
       partitionValues: InternalRow): PartitionedFile = {
     val hosts = getBlockHosts(getBlockLocations(file.fileStatus), 0, file.getLen)
-    PartitionedFile(partitionValues, SparkPath.fromPath(file.getPath), 0, file.getLen, hosts,
+    PartitionedFile(partitionValues, SparkPath.fromPath(filePath), 0, file.getLen, hosts,
       file.getModificationTime, file.getLen, file.metadata)
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileIndex.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileIndex.scala
index 1b28294e94a88..5331f29bc5b52 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileIndex.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileIndex.scala
@@ -30,8 +30,7 @@ import org.apache.spark.sql.types.StructType
  */
 case class FileStatusWithMetadata(fileStatus: FileStatus, metadata: Map[String, Any] = Map.empty) {
   // Wrapper methods to improve source compatibility in code that still expects a [[FileStatus]].
-  // NOTE: getPath() is very expensive, so we only want to call it once (if accessed at all).
-  lazy val getPath: Path = fileStatus.getPath
+  def getPath: Path = fileStatus.getPath
   def getLen: Long = fileStatus.getLen
   def getModificationTime: Long = fileStatus.getModificationTime
   def isDirectory: Boolean = fileStatus.isDirectory
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
index 71e86beefdaff..cef9e80f64595 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala
@@ -151,10 +151,12 @@ trait FileScan extends Scan
         partition.values
       }
       partition.files.flatMap { file =>
+        val filePath = file.getPath
         PartitionedFileUtil.splitFiles(
           sparkSession = sparkSession,
           file = file,
-          isSplitable = isSplitable(file.getPath),
+          filePath = filePath,
+          isSplitable = isSplitable(filePath),
           maxSplitBytes = maxSplitBytes,
           partitionValues = partitionValues
         )

From c0bfae6d66e283c1b7d75c929f198c09328ef86e Mon Sep 17 00:00:00 2001
From: Wei Guo <guow93@gmail.com>
Date: Fri, 21 Feb 2025 08:16:34 -0800
Subject: [PATCH 978/986] [SPARK-51244][INFRA][3.5] Upgrade left Github Action
 image from `ubuntu-20.04` to `ubuntu-22.04` and solved the
 `TPCDSQueryBenchmark` compatibility issue

### What changes were proposed in this pull request?

This PR aims to upgrade left Github Action image from `ubuntu-20.04`to `ubuntu-22.04` and solved the `TPCDSQueryBenchmark` compatibility issue.

### Why are the changes needed?

Same to https://github.com/apache/spark/pull/49980 , since ubuntu 20.04 will be removed, and according to `Maintenance releases and EOL` at https://spark.apache.org/versioning-policy.html, Spark 3.5 will still be in service before April 12th 2026, so we also need to make this change in branch-3.5.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass GA.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49988 from wayneguow/branch-3.5.

Authored-by: Wei Guo <guow93@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .github/workflows/benchmark.yml            | 9 ++++-----
 .github/workflows/build_and_test.yml       | 5 ++---
 .github/workflows/notify_test_workflow.yml | 2 +-
 .github/workflows/update_build_status.yml  | 2 +-
 4 files changed, 8 insertions(+), 10 deletions(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index a1c542f580d95..23888ed8ac64e 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -46,7 +46,7 @@ on:
 jobs:
   matrix-gen:
     name: Generate matrix for job splits
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     outputs:
       matrix: ${{ steps.set-matrix.outputs.matrix }}
     env:
@@ -60,7 +60,7 @@ jobs:
   tpcds-1g-gen:
     name: "Generate an input dataset for TPCDSQueryBenchmark with SF=1"
     if: contains(github.event.inputs.class, 'TPCDSQueryBenchmark') || contains(github.event.inputs.class, '*')
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     env:
       SPARK_LOCAL_IP: localhost
     steps:
@@ -98,7 +98,7 @@ jobs:
         uses: actions/checkout@v3
         with:
           repository: databricks/tpcds-kit
-          ref: 2a5078a782192ddb6efbcead8de9973d6ab4f069
+          ref: 1b7fb7529edae091684201fab142d956d6afd881
           path: ./tpcds-kit
       - name: Build tpcds-kit
         if: steps.cache-tpcds-sf-1.outputs.cache-hit != 'true'
@@ -117,8 +117,7 @@ jobs:
     name: "Run benchmarks: ${{ github.event.inputs.class }} (JDK ${{ github.event.inputs.jdk }}, Scala ${{ github.event.inputs.scala }}, ${{ matrix.split }} out of ${{ github.event.inputs.num-splits }} splits)"
     if: always()
     needs: [matrix-gen, tpcds-1g-gen]
-    # Ubuntu 20.04 is the latest LTS. The next LTS is 22.04.
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     strategy:
       fail-fast: false
       matrix:
diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index a423750eee728..c21e137dd9bfa 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -831,8 +831,7 @@ jobs:
     needs: precondition
     if: fromJson(needs.precondition.outputs.required).tpcds-1g == 'true'
     name: Run TPC-DS queries with SF=1
-    # Pin to 'Ubuntu 20.04' due to 'databricks/tpcds-kit' compilation
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     env:
       SPARK_LOCAL_IP: localhost
     steps:
@@ -882,7 +881,7 @@ jobs:
       uses: actions/checkout@v3
       with:
         repository: databricks/tpcds-kit
-        ref: 2a5078a782192ddb6efbcead8de9973d6ab4f069
+        ref: 1b7fb7529edae091684201fab142d956d6afd881
         path: ./tpcds-kit
     - name: Build tpcds-kit
       if: steps.cache-tpcds-sf-1.outputs.cache-hit != 'true'
diff --git a/.github/workflows/notify_test_workflow.yml b/.github/workflows/notify_test_workflow.yml
index 6fb776d708346..3079cacb60c6c 100644
--- a/.github/workflows/notify_test_workflow.yml
+++ b/.github/workflows/notify_test_workflow.yml
@@ -30,7 +30,7 @@ on:
 jobs:
   notify:
     name: Notify test workflow
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     permissions:
       actions: read
       checks: write
diff --git a/.github/workflows/update_build_status.yml b/.github/workflows/update_build_status.yml
index 05cf4914a25ca..aee9e9c9a601a 100644
--- a/.github/workflows/update_build_status.yml
+++ b/.github/workflows/update_build_status.yml
@@ -26,7 +26,7 @@ on:
 jobs:
   update:
     name: Update build status
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-22.04
     permissions:
       actions: read
       checks: write

From 3ba36ec11b921729a11a98d397072721e75ab553 Mon Sep 17 00:00:00 2001
From: Jungtaek Lim <kabhwan.opensource@gmail.com>
Date: Sat, 22 Feb 2025 21:36:21 -0800
Subject: [PATCH 979/986] [SPARK-51187][SQL][SS][3.5] Implement the graceful
 deprecation of incorrect config introduced in SPARK-49699

### What changes were proposed in this pull request?

This PR proposes to implement the graceful deprecation of incorrect config introduced in SPARK-49699.

SPARK-49699 was included in Spark 3.5.4, hence we can't simply rename to fix the issue.

Also, since the incorrect config is logged in offset log in streaming query, the fix isn't just easy like adding withAlternative and done. We need to manually handle the case where offset log contains the incorrect config, and set the value of incorrect config in the offset log into the new config. Once a single microbatch has planned after the restart (hence the above logic is applied), offset log will contain the "new" config and it will no longer refer to the incorrect config.

That said, we can remove the incorrect config in the Spark version which we are confident that there will be no case users will upgrade from Spark 3.5.4 to that version.

### Why are the changes needed?

We released an incorrect config and we want to rename it properly. While renaming, we don't also want to have any breakage on the existing streaming query.

### Does this PR introduce _any_ user-facing change?

No. That is what this PR is aiming for.

### How was this patch tested?

New UT.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49985 from HeartSaVioR/SPARK-51187-3.5.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../apache/spark/sql/internal/SQLConf.scala   |  7 +-
 .../sql/execution/streaming/OffsetSeq.scala   | 11 +++
 .../checkpoint-version-3.5.4/commits/0        |  2 +
 .../checkpoint-version-3.5.4/commits/1        |  2 +
 .../checkpoint-version-3.5.4/metadata         |  1 +
 .../checkpoint-version-3.5.4/offsets/0        |  3 +
 .../checkpoint-version-3.5.4/offsets/1        |  3 +
 .../sql/streaming/StreamingQuerySuite.scala   | 69 +++++++++++++++++++
 8 files changed, 96 insertions(+), 2 deletions(-)
 create mode 100644 sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/0
 create mode 100644 sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/1
 create mode 100644 sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/metadata
 create mode 100644 sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/0
 create mode 100644 sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/1

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 6f2f0088fccd1..e6f8e11b0d50d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3421,11 +3421,12 @@ object SQLConf {
       .createWithDefault(ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH)
 
   val PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN =
-    buildConf("spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
+    buildConf("spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
       .internal()
       .doc("Allow PruneFilters to remove streaming subplans when we encounter a false filter. " +
         "This flag is to restore prior buggy behavior for broken pipelines.")
       .version("4.0.0")
+      .withAlternative("spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
       .booleanConf
       .createWithDefault(false)
 
@@ -4480,7 +4481,9 @@ object SQLConf {
       DeprecatedConfig(LEGACY_REPLACE_DATABRICKS_SPARK_AVRO_ENABLED.key, "3.2",
         """Use `.format("avro")` in `DataFrameWriter` or `DataFrameReader` instead."""),
       DeprecatedConfig(COALESCE_PARTITIONS_MIN_PARTITION_NUM.key, "3.2",
-        s"Use '${COALESCE_PARTITIONS_MIN_PARTITION_SIZE.key}' instead.")
+        s"Use '${COALESCE_PARTITIONS_MIN_PARTITION_SIZE.key}' instead."),
+      DeprecatedConfig(PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.alternatives.head, "3.5.5",
+        s"Use '${PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key}' instead.")
     )
 
     Map(configs.map { cfg => cfg.key -> cfg } : _*)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
index cea7ec432aad9..8762a25453a02 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeq.scala
@@ -170,5 +170,16 @@ object OffsetSeqMetadata extends Logging {
           }
       }
     }
+
+    // SPARK-51187: This incorrect config is not added in the relevantSQLConfs, but the
+    // metadata in the offset log may have this if the batch ran from Spark 3.5.4.
+    // We need to pick the value from the metadata and set it in the new config.
+    // This also leads the further batches to have a correct config in the offset log.
+    metadata.conf.get("spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan") match {
+      case Some(value) =>
+        sessionConf.set(PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key, value)
+
+      case _ =>
+    }
   }
 }
diff --git a/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/0 b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/0
new file mode 100644
index 0000000000000..9c1e3021c3ead
--- /dev/null
+++ b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/0
@@ -0,0 +1,2 @@
+v1
+{"nextBatchWatermarkMs":0}
\ No newline at end of file
diff --git a/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/1 b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/1
new file mode 100644
index 0000000000000..9c1e3021c3ead
--- /dev/null
+++ b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/commits/1
@@ -0,0 +1,2 @@
+v1
+{"nextBatchWatermarkMs":0}
\ No newline at end of file
diff --git a/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/metadata b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/metadata
new file mode 100644
index 0000000000000..1aa693bb9b3c9
--- /dev/null
+++ b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/metadata
@@ -0,0 +1 @@
+{"id":"3f409b2c-b22b-49f6-b6e4-86c2bdcddaba"}
\ No newline at end of file
diff --git a/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/0 b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/0
new file mode 100644
index 0000000000000..cb55941d52a16
--- /dev/null
+++ b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/0
@@ -0,0 +1,3 @@
+v1
+{"batchWatermarkMs":0,"batchTimestampMs":1739419905155,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+0
\ No newline at end of file
diff --git a/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/1 b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/1
new file mode 100644
index 0000000000000..8ea13ab004ed4
--- /dev/null
+++ b/sql/core/src/test/resources/structured-streaming/checkpoint-version-3.5.4/offsets/1
@@ -0,0 +1,3 @@
+v1
+{"batchWatermarkMs":0,"batchTimestampMs":1739419906627,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+1
\ No newline at end of file
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
index 8565056cda6fa..b5cf13a9c121b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
@@ -1363,6 +1363,75 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
     )
   }
 
+  test("SPARK-51187 validate that the incorrect config introduced in SPARK-49699 still takes " +
+    "effect when restarting from Spark 3.5.4") {
+    // Spark 3.5.4 is the only release we accidentally introduced the incorrect config.
+    // We just need to confirm that current Spark version will apply the fix of SPARK-49699 when
+    // the streaming query started from Spark 3.5.4. We should consistently apply the fix, instead
+    // of "on and off", because that may expose more possibility to break.
+
+    val problematicConfName = "spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan"
+
+    withTempDir { dir =>
+      val input = getClass.getResource("/structured-streaming/checkpoint-version-3.5.4")
+      assert(input != null, "cannot find test resource")
+      val inputDir = new File(input.toURI)
+
+      // Copy test files to tempDir so that we won't modify the original data.
+      FileUtils.copyDirectory(inputDir, dir)
+
+      // Below is the code we extract checkpoint from Spark 3.5.4. We need to make sure the offset
+      // advancement continues from the last run.
+      val inputData = MemoryStream[Int]
+      val df = inputData.toDF()
+
+      inputData.addData(1, 2, 3, 4)
+      inputData.addData(5, 6, 7, 8)
+
+      testStream(df)(
+        StartStream(checkpointLocation = dir.getCanonicalPath),
+        AddData(inputData, 9, 10, 11, 12),
+        ProcessAllAvailable(),
+        AssertOnQuery { q =>
+          val confValue = q.lastExecution.sparkSession.conf.get(
+            SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN)
+          assert(confValue === false,
+            "The value for the incorrect config in offset metadata should be respected as the " +
+              "value of the fixed config")
+
+          val offsetLog = new OffsetSeqLog(spark, new File(dir, "offsets").getCanonicalPath)
+          def checkConfigFromMetadata(batchId: Long, expectCorrectConfig: Boolean): Unit = {
+            val offsetLogForBatch = offsetLog.get(batchId).get
+            val confInMetadata = offsetLogForBatch.metadata.get.conf
+            if (expectCorrectConfig) {
+              assert(confInMetadata.get(SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key) ===
+                Some("false"),
+                "The new offset log should have the fixed config instead of the incorrect one."
+              )
+              assert(!confInMetadata.contains(problematicConfName),
+                "The new offset log should not have the incorrect config.")
+            } else {
+              assert(
+                confInMetadata.get(problematicConfName) === Some("false"),
+                "The offset log in test resource should have the incorrect config to test properly."
+              )
+              assert(
+                !confInMetadata.contains(SQLConf.PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN.key),
+                "The offset log in test resource should not have the fixed config."
+              )
+            }
+          }
+
+          assert(offsetLog.getLatestBatchId() === Some(2))
+          checkConfigFromMetadata(0, expectCorrectConfig = false)
+          checkConfigFromMetadata(1, expectCorrectConfig = false)
+          checkConfigFromMetadata(2, expectCorrectConfig = true)
+          true
+        }
+      )
+    }
+  }
+
   private def checkExceptionMessage(df: DataFrame): Unit = {
     withTempDir { outputDir =>
       withTempDir { checkpointDir =>

From eedb1aafb26e4000c73b84e6d3171822baa445af Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dhyun@apple.com>
Date: Mon, 15 Jul 2024 13:11:06 -0700
Subject: [PATCH 980/986] [SPARK-48899][K8S] Fix `ENV` key value format in K8s
 Dockerfiles

### What changes were proposed in this pull request?

This PR aims to fix `ENV` key value format in K8s Dockerfiles.

### Why are the changes needed?

To follow the Docker guideline to fix the following legacy format.
- https://docs.docker.com/reference/build-checks/legacy-key-value-format/
```
- LegacyKeyValueFormat: "ENV key=value" should be used instead of legacy "ENV key value" format
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #47357 from dongjoon-hyun/SPARK-48899.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
(cherry picked from commit 40899c1aca543ab25f7de0992e242debf961de56)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 .../kubernetes/docker/src/main/dockerfiles/spark/Dockerfile     | 2 +-
 .../docker/src/main/dockerfiles/spark/bindings/R/Dockerfile     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
index c30823de01360..f44f13df2984c 100644
--- a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
+++ b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/Dockerfile
@@ -52,7 +52,7 @@ COPY examples /opt/spark/examples
 COPY kubernetes/tests /opt/spark/tests
 COPY data /opt/spark/data
 
-ENV SPARK_HOME /opt/spark
+ENV SPARK_HOME=/opt/spark
 
 WORKDIR /opt/spark/work-dir
 RUN chmod g+w /opt/spark/work-dir
diff --git a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/bindings/R/Dockerfile b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/bindings/R/Dockerfile
index 3a5b96dc12be5..d8d9b1aebaa18 100644
--- a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/bindings/R/Dockerfile
+++ b/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/bindings/R/Dockerfile
@@ -32,7 +32,7 @@ RUN \
   rm -rf /var/cache/apt/* && rm -rf /var/lib/apt/lists/*
 
 COPY R ${SPARK_HOME}/R
-ENV R_HOME /usr/lib/R
+ENV R_HOME=/usr/lib/R
 
 WORKDIR /opt/spark/work-dir
 ENTRYPOINT [ "/opt/entrypoint.sh" ]

From d65ecc03caaf96d7381301be89991be502871fbd Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Tue, 11 Feb 2025 18:45:09 -0800
Subject: [PATCH 981/986] [SPARK-51173][TESTS] Add `configName` Scalastyle rule

This PR aims to add `configName` Scalastyle rule to prevent invalid config names.

To prevent repetitive mistake pattern
- #45649
- #48149
- #49121

No.

Currently, this PR will fail at Scalastyle test because the `master` branch is broken. We can merge this after the following PR.
- #49897

No.

Closes #49900 from dongjoon-hyun/SPARK-51173.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 274dc5e05846d481a640fd7926bcdcc065fd6975)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
---
 scalastyle-config.xml | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/scalastyle-config.xml b/scalastyle-config.xml
index 0ccd937e72e88..38707006dac99 100644
--- a/scalastyle-config.xml
+++ b/scalastyle-config.xml
@@ -462,4 +462,9 @@ This file is divided into 3 sections:
       and URIs to and from String. If possible, please use SparkPath.
     ]]></customMessage>
   </check>
+
+  <check customId="configName" level="error" class="org.scalastyle.file.RegexChecker" enabled="true">
+    <parameters><parameter name="regex">buildConf\("spark.databricks.</parameter></parameters>
+    <customMessage>Use Apache Spark config namespace.</customMessage>
+  </check>
 </scalastyle>

From 7c29c664cdc9321205a98a14858aaf8daaa19db2 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Sun, 23 Feb 2025 20:07:28 +0000
Subject: [PATCH 982/986] Preparing Spark release v3.5.5-rc1

---
 assembly/pom.xml                                       | 2 +-
 common/kvstore/pom.xml                                 | 2 +-
 common/network-common/pom.xml                          | 2 +-
 common/network-shuffle/pom.xml                         | 2 +-
 common/network-yarn/pom.xml                            | 2 +-
 common/sketch/pom.xml                                  | 2 +-
 common/tags/pom.xml                                    | 2 +-
 common/unsafe/pom.xml                                  | 2 +-
 common/utils/pom.xml                                   | 2 +-
 connector/avro/pom.xml                                 | 2 +-
 connector/connect/client/jvm/pom.xml                   | 2 +-
 connector/connect/common/pom.xml                       | 2 +-
 connector/connect/server/pom.xml                       | 2 +-
 connector/docker-integration-tests/pom.xml             | 2 +-
 connector/kafka-0-10-assembly/pom.xml                  | 2 +-
 connector/kafka-0-10-sql/pom.xml                       | 2 +-
 connector/kafka-0-10-token-provider/pom.xml            | 2 +-
 connector/kafka-0-10/pom.xml                           | 2 +-
 connector/kinesis-asl-assembly/pom.xml                 | 2 +-
 connector/kinesis-asl/pom.xml                          | 2 +-
 connector/protobuf/pom.xml                             | 2 +-
 connector/spark-ganglia-lgpl/pom.xml                   | 2 +-
 core/pom.xml                                           | 2 +-
 docs/_config.yml                                       | 2 +-
 examples/pom.xml                                       | 2 +-
 graphx/pom.xml                                         | 2 +-
 hadoop-cloud/pom.xml                                   | 2 +-
 launcher/pom.xml                                       | 2 +-
 mllib-local/pom.xml                                    | 2 +-
 mllib/pom.xml                                          | 2 +-
 pom.xml                                                | 2 +-
 python/pyspark/version.py                              | 2 +-
 repl/pom.xml                                           | 2 +-
 resource-managers/kubernetes/core/pom.xml              | 2 +-
 resource-managers/kubernetes/integration-tests/pom.xml | 2 +-
 resource-managers/mesos/pom.xml                        | 2 +-
 resource-managers/yarn/pom.xml                         | 2 +-
 sql/api/pom.xml                                        | 2 +-
 sql/catalyst/pom.xml                                   | 2 +-
 sql/core/pom.xml                                       | 2 +-
 sql/hive-thriftserver/pom.xml                          | 2 +-
 sql/hive/pom.xml                                       | 2 +-
 streaming/pom.xml                                      | 2 +-
 tools/pom.xml                                          | 2 +-
 44 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/assembly/pom.xml b/assembly/pom.xml
index b858926fd766b..2066bbeb7e4d5 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/common/kvstore/pom.xml b/common/kvstore/pom.xml
index a5ac18252d9c9..a1ec2748329b9 100644
--- a/common/kvstore/pom.xml
+++ b/common/kvstore/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-common/pom.xml b/common/network-common/pom.xml
index c3f33905ae20c..6ae7863161b1e 100644
--- a/common/network-common/pom.xml
+++ b/common/network-common/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-shuffle/pom.xml b/common/network-shuffle/pom.xml
index de0af6da6c9ec..7537e39d93ea5 100644
--- a/common/network-shuffle/pom.xml
+++ b/common/network-shuffle/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/network-yarn/pom.xml b/common/network-yarn/pom.xml
index 54edc410aa9cc..0d36259e338ac 100644
--- a/common/network-yarn/pom.xml
+++ b/common/network-yarn/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/sketch/pom.xml b/common/sketch/pom.xml
index 88ae8e2715a04..43313bd0ec28f 100644
--- a/common/sketch/pom.xml
+++ b/common/sketch/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/tags/pom.xml b/common/tags/pom.xml
index adeab180901c6..471b499c37297 100644
--- a/common/tags/pom.xml
+++ b/common/tags/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/unsafe/pom.xml b/common/unsafe/pom.xml
index 0518930d7eb5b..4dac8356b77b6 100644
--- a/common/unsafe/pom.xml
+++ b/common/unsafe/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/common/utils/pom.xml b/common/utils/pom.xml
index fc15de78ed505..2e4e0dcdaa2eb 100644
--- a/common/utils/pom.xml
+++ b/common/utils/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/avro/pom.xml b/connector/avro/pom.xml
index 8d78204ddce30..11811ed080bca 100644
--- a/connector/avro/pom.xml
+++ b/connector/avro/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/client/jvm/pom.xml b/connector/connect/client/jvm/pom.xml
index c220ce4d032e5..f2630bfb9303f 100644
--- a/connector/connect/client/jvm/pom.xml
+++ b/connector/connect/client/jvm/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/connect/common/pom.xml b/connector/connect/common/pom.xml
index 8fd5820c35c71..a4f010f7076d4 100644
--- a/connector/connect/common/pom.xml
+++ b/connector/connect/common/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.5</version>
         <relativePath>../../../pom.xml</relativePath>
     </parent>
 
diff --git a/connector/connect/server/pom.xml b/connector/connect/server/pom.xml
index 747c56d148ebb..54c63a6f6ded8 100644
--- a/connector/connect/server/pom.xml
+++ b/connector/connect/server/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/docker-integration-tests/pom.xml b/connector/docker-integration-tests/pom.xml
index 878bd4590b50f..d79b232ebeff1 100644
--- a/connector/docker-integration-tests/pom.xml
+++ b/connector/docker-integration-tests/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-assembly/pom.xml b/connector/kafka-0-10-assembly/pom.xml
index 119761501dad9..f9f6dfc20524b 100644
--- a/connector/kafka-0-10-assembly/pom.xml
+++ b/connector/kafka-0-10-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-sql/pom.xml b/connector/kafka-0-10-sql/pom.xml
index 51ab703585beb..8a2195bde7e0d 100644
--- a/connector/kafka-0-10-sql/pom.xml
+++ b/connector/kafka-0-10-sql/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10-token-provider/pom.xml b/connector/kafka-0-10-token-provider/pom.xml
index 7e1c6ebac9a7f..b081b67a56ff8 100644
--- a/connector/kafka-0-10-token-provider/pom.xml
+++ b/connector/kafka-0-10-token-provider/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kafka-0-10/pom.xml b/connector/kafka-0-10/pom.xml
index 5014e1a1494ce..b59e6401191be 100644
--- a/connector/kafka-0-10/pom.xml
+++ b/connector/kafka-0-10/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl-assembly/pom.xml b/connector/kinesis-asl-assembly/pom.xml
index 65d86f5617b1c..b44c6f1f259d7 100644
--- a/connector/kinesis-asl-assembly/pom.xml
+++ b/connector/kinesis-asl-assembly/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/kinesis-asl/pom.xml b/connector/kinesis-asl/pom.xml
index 47495110bf7d8..608671f47a0c3 100644
--- a/connector/kinesis-asl/pom.xml
+++ b/connector/kinesis-asl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/protobuf/pom.xml b/connector/protobuf/pom.xml
index 3f417fba4b021..91df2118e6092 100644
--- a/connector/protobuf/pom.xml
+++ b/connector/protobuf/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/connector/spark-ganglia-lgpl/pom.xml b/connector/spark-ganglia-lgpl/pom.xml
index 47db5eb9253e8..572766941ed93 100644
--- a/connector/spark-ganglia-lgpl/pom.xml
+++ b/connector/spark-ganglia-lgpl/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/core/pom.xml b/core/pom.xml
index ed5c82d28ca68..15d318844ce38 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/docs/_config.yml b/docs/_config.yml
index 969b61fa00363..b9a4294bbb8f8 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@ include:
 
 # These allow the documentation to be updated with newer releases
 # of Spark, Scala, and Mesos.
-SPARK_VERSION: 3.5.5-SNAPSHOT
+SPARK_VERSION: 3.5.5
 SPARK_VERSION_SHORT: 3.5.5
 SCALA_BINARY_VERSION: "2.12"
 SCALA_VERSION: "2.12.18"
diff --git a/examples/pom.xml b/examples/pom.xml
index 506aa7836485a..4cf1847cc16c3 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/graphx/pom.xml b/graphx/pom.xml
index f330d4d1a5377..287116cca802a 100644
--- a/graphx/pom.xml
+++ b/graphx/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/hadoop-cloud/pom.xml b/hadoop-cloud/pom.xml
index 29f47eec8a5c6..770eba8dee70c 100644
--- a/hadoop-cloud/pom.xml
+++ b/hadoop-cloud/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/launcher/pom.xml b/launcher/pom.xml
index e309c1f734296..5bbbed045ef9d 100644
--- a/launcher/pom.xml
+++ b/launcher/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml
index f8a3cf1cc16df..a7020fabd259a 100644
--- a/mllib-local/pom.xml
+++ b/mllib-local/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/mllib/pom.xml b/mllib/pom.xml
index 1fa3e215977d9..a9e8fca6e1b19 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/pom.xml b/pom.xml
index 67239569f228d..9b009c3a42af9 100644
--- a/pom.xml
+++ b/pom.xml
@@ -26,7 +26,7 @@
   </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent_2.12</artifactId>
-  <version>3.5.5-SNAPSHOT</version>
+  <version>3.5.5</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
   <url>https://spark.apache.org/</url>
diff --git a/python/pyspark/version.py b/python/pyspark/version.py
index df09fc3284fbd..451bb79011c2c 100644
--- a/python/pyspark/version.py
+++ b/python/pyspark/version.py
@@ -16,4 +16,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__: str = "3.5.5.dev0"
+__version__: str = "3.5.5"
diff --git a/repl/pom.xml b/repl/pom.xml
index e3f52f07cc4d7..1efb8b8fbe1f1 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/core/pom.xml b/resource-managers/kubernetes/core/pom.xml
index e4d890a930a2a..7a97c4c1ff06c 100644
--- a/resource-managers/kubernetes/core/pom.xml
+++ b/resource-managers/kubernetes/core/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/kubernetes/integration-tests/pom.xml b/resource-managers/kubernetes/integration-tests/pom.xml
index 85a125ddfe4b7..a004dd12fedec 100644
--- a/resource-managers/kubernetes/integration-tests/pom.xml
+++ b/resource-managers/kubernetes/integration-tests/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/mesos/pom.xml b/resource-managers/mesos/pom.xml
index 118f0034ddf5a..566e0baf8e23c 100644
--- a/resource-managers/mesos/pom.xml
+++ b/resource-managers/mesos/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/resource-managers/yarn/pom.xml b/resource-managers/yarn/pom.xml
index 4c85e90c4e485..42c2efb14b2af 100644
--- a/resource-managers/yarn/pom.xml
+++ b/resource-managers/yarn/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/api/pom.xml b/sql/api/pom.xml
index 1613c3218649b..4a21574462c3a 100644
--- a/sql/api/pom.xml
+++ b/sql/api/pom.xml
@@ -22,7 +22,7 @@
     <parent>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-parent_2.12</artifactId>
-        <version>3.5.5-SNAPSHOT</version>
+        <version>3.5.5</version>
         <relativePath>../../pom.xml</relativePath>
     </parent>
 
diff --git a/sql/catalyst/pom.xml b/sql/catalyst/pom.xml
index e7736c95007ad..ff0992e7b21c7 100644
--- a/sql/catalyst/pom.xml
+++ b/sql/catalyst/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 889fba8892568..91860dff2b417 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive-thriftserver/pom.xml b/sql/hive-thriftserver/pom.xml
index 110f9e168de6b..69826d94cba63 100644
--- a/sql/hive-thriftserver/pom.xml
+++ b/sql/hive-thriftserver/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/sql/hive/pom.xml b/sql/hive/pom.xml
index 8fc5d81ab8982..6997ebda7ea4e 100644
--- a/sql/hive/pom.xml
+++ b/sql/hive/pom.xml
@@ -22,7 +22,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../../pom.xml</relativePath>
   </parent>
 
diff --git a/streaming/pom.xml b/streaming/pom.xml
index e3002680f2173..92d716fa5c09d 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 3530297bf8f83..f2e171b2dfe97 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -20,7 +20,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent_2.12</artifactId>
-    <version>3.5.5-SNAPSHOT</version>
+    <version>3.5.5</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

From 753902d8bb0e102ac1882aa687d60315d5f14cdc Mon Sep 17 00:00:00 2001
From: sft-managed <akash_shelke@ip-10-202-29-17.ec2.internal>
Date: Tue, 14 Oct 2025 08:12:26 +0000
Subject: [PATCH 983/986] Adding bouncy castle change for hadoop3.4.1 .
 SPARK-41392

---
 sql/core/pom.xml | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index 91860dff2b417..ef55cbdd24115 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -217,6 +217,18 @@
       <artifactId>htmlunit-driver</artifactId>
       <scope>test</scope>
     </dependency>
+    <!-- Explicit declaration of bouncy-castle dependencies are
+    needed for maven test builds on later hadoop releases.-->
+    <dependency>
+      <groupId>org.bouncycastle</groupId>
+      <artifactId>bcprov-jdk18on</artifactId>
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>org.bouncycastle</groupId>
+      <artifactId>bcpkix-jdk18on</artifactId>
+      <scope>test</scope>
+    </dependency>
   </dependencies>
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>

From b8791b6190338b1bd687a9d08df71cbbce82d003 Mon Sep 17 00:00:00 2001
From: sft-managed <akash_shelke@ip-10-202-29-17.ec2.internal>
Date: Wed, 29 Oct 2025 06:46:18 +0000
Subject: [PATCH 984/986] Restricting overwriting username running the job

---
 bin/pyspark      | 1 +
 bin/spark-class  | 2 +-
 bin/spark-sql    | 1 +
 bin/spark-submit | 2 ++
 bin/sparkR       | 2 +-
 5 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/bin/pyspark b/bin/pyspark
index 1ae28b1f507cd..a0972ccee3301 100755
--- a/bin/pyspark
+++ b/bin/pyspark
@@ -16,6 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+export HADOOP_USER_HOME=$(whoami) 
 
 if [ -z "${SPARK_HOME}" ]; then
   source "$(dirname "$0")"/find-spark-home
diff --git a/bin/spark-class b/bin/spark-class
index fc343ca29fddd..01f810ecdb31c 100755
--- a/bin/spark-class
+++ b/bin/spark-class
@@ -16,7 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+export HADOOP_USER_HOME=$(whoami)
 if [ -z "${SPARK_HOME}" ]; then
   source "$(dirname "$0")"/find-spark-home
 fi
diff --git a/bin/spark-sql b/bin/spark-sql
index b08b944ebd319..3a46b41a003e2 100755
--- a/bin/spark-sql
+++ b/bin/spark-sql
@@ -16,6 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+export HADOOP_USER_HOME=$(whoami)
 
 if [ -z "${SPARK_HOME}" ]; then
   source "$(dirname "$0")"/find-spark-home
diff --git a/bin/spark-submit b/bin/spark-submit
index 4e9d3614e6370..3a398928c6c11 100755
--- a/bin/spark-submit
+++ b/bin/spark-submit
@@ -17,6 +17,8 @@
 # limitations under the License.
 #
 
+export HADOOP_USER_HOME=$(whoami)
+
 if [ -z "${SPARK_HOME}" ]; then
   source "$(dirname "$0")"/find-spark-home
 fi
diff --git a/bin/sparkR b/bin/sparkR
index 8ecc755839fe3..136419dc2982f 100755
--- a/bin/sparkR
+++ b/bin/sparkR
@@ -16,7 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
+export HADOOP_USER_HOME=$(whoami)
 if [ -z "${SPARK_HOME}" ]; then
   source "$(dirname "$0")"/find-spark-home
 fi

From f96e64c423ec3072d8b13b31190e07b7a77dc7a9 Mon Sep 17 00:00:00 2001
From: abhishek6s <abhishek.gupta@6sense.com>
Date: Mon, 16 Feb 2026 18:15:14 +0000
Subject: [PATCH 985/986] initial local setup

---
 .devcontainer/.gitignore         |   1 +
 .devcontainer/Dockerfile         |   2 +
 .devcontainer/aws-config         |  13 +
 .devcontainer/bash_additional.sh |  21 ++
 .devcontainer/devcontainer.json  |  52 +++
 .devcontainer/setup-sparkdev.sh  | 611 +++++++++++++++++++++++++++++++
 .devcontainer/setup.md           |   3 +
 7 files changed, 703 insertions(+)
 create mode 100644 .devcontainer/.gitignore
 create mode 100644 .devcontainer/Dockerfile
 create mode 100644 .devcontainer/aws-config
 create mode 100644 .devcontainer/bash_additional.sh
 create mode 100644 .devcontainer/devcontainer.json
 create mode 100644 .devcontainer/setup-sparkdev.sh
 create mode 100644 .devcontainer/setup.md

diff --git a/.devcontainer/.gitignore b/.devcontainer/.gitignore
new file mode 100644
index 0000000000000..044efa3bcc5ae
--- /dev/null
+++ b/.devcontainer/.gitignore
@@ -0,0 +1 @@
+.devpod-internal
\ No newline at end of file
diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
new file mode 100644
index 0000000000000..e68f61b5aa801
--- /dev/null
+++ b/.devcontainer/Dockerfile
@@ -0,0 +1,2 @@
+# Explicitly force the platform here to ensure the build happens on amd64
+FROM --platform=linux/amd64 mcr.microsoft.com/devcontainers/base:ubuntu-22.04
\ No newline at end of file
diff --git a/.devcontainer/aws-config b/.devcontainer/aws-config
new file mode 100644
index 0000000000000..ad3dd3c9788ce
--- /dev/null
+++ b/.devcontainer/aws-config
@@ -0,0 +1,13 @@
+[profile default-engineering]
+sso_start_url = https://6si-mgmt.awsapps.com/start
+sso_region = us-east-1
+sso_account_id = 242358675102
+sso_role_name = BigData
+region = us-east-1
+output = json
+sso_session = default
+
+[sso-session default]
+sso_start_url = https://6si-mgmt.awsapps.com/start
+sso_region = us-east-1
+sso_registration_scopes = sso:account:access
\ No newline at end of file
diff --git a/.devcontainer/bash_additional.sh b/.devcontainer/bash_additional.sh
new file mode 100644
index 0000000000000..1dd40707abf35
--- /dev/null
+++ b/.devcontainer/bash_additional.sh
@@ -0,0 +1,21 @@
+#!/bin/bash
+
+__spark_git_branch() {
+    command -v git >/dev/null 2>&1 || return
+    git rev-parse --is-inside-work-tree >/dev/null 2>&1 || return
+    git branch --show-current 2>/dev/null
+}
+
+__spark_prompt_git() {
+    local b
+    b="$(__spark_git_branch)"
+    if [ -n "$b" ]; then
+        printf '(%s)' "$b"
+    fi
+}
+
+if [ -n "$DEVPOD_WORKSPACE_ID" ]; then
+    export PS1="\[\e[32m\]\u@\h\[\e[33m\]($DEVPOD_WORKSPACE_ID)\[\e[34m\]:\w \[\e[33m\]$(__spark_prompt_git)\[\e[0m\]\n\$ "
+else
+    export PS1="\[\e[32m\]\u@\h:\[\e[34m\]\w \[\e[33m\]$(__spark_prompt_git)\[\e[0m\]\n\$ "
+fi
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
new file mode 100644
index 0000000000000..d0b3ad6c76bf6
--- /dev/null
+++ b/.devcontainer/devcontainer.json
@@ -0,0 +1,52 @@
+{
+  // Devcontainer config for x86_64 (amd64) development
+  "name": "Apache Spark Development (Multi-JDK, x86_64)",
+  // CHANGE: Use 'build' instead of 'image'
+  "build": {
+    "dockerfile": "Dockerfile"
+  },
+  // Force running the container as linux/amd64 via Docker run args
+  "runArgs": ["--platform=linux/amd64"],
+  
+  "features": {
+    // Installs SDKMAN and multiple Java versions
+    // 1. Install multiple JDKs (8, 11, 17, 21)
+    "ghcr.io/devcontainers/features/java:1": {
+      "version": "17",
+      "installMaven": "true",
+      "installGradle": "false",
+      "jdkDistro": "amzn"
+    },
+    // Common utilities for Spark building
+    "ghcr.io/devcontainers/features/common-utils:1": {
+      "installZsh": "true",
+      "configureZshAsDefaultShell": "true"
+    }
+  },
+
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "GitHub.vscode-pull-request-github",
+        "vscjava.vscode-java-pack",
+        "vscjava.vscode-maven",
+        "vscjava.vscode-java-dependency",
+        "rebornix.project-config",
+        "mtxr.sqltools"
+      ],
+      "settings": {
+        "java.configuration.runtimes": [
+          { "name": "JavaSE-1.8", "path": "/usr/local/sdkman/candidates/java/8.0.402-amzn" },
+          { "name": "JavaSE-11", "path": "/usr/local/sdkman/candidates/java/11.0.22-amzn" },
+          { "name": "JavaSE-17", "path": "/usr/local/sdkman/candidates/java/17.0.10-amzn", "default": true }
+        ],
+        "files.watcherExclude": {
+					"**/target/**": true
+				}
+      }
+    }
+  },
+
+  "postCreateCommand": "bash .devcontainer/setup-sparkdev.sh",
+  "remoteUser": "vscode"
+}
\ No newline at end of file
diff --git a/.devcontainer/setup-sparkdev.sh b/.devcontainer/setup-sparkdev.sh
new file mode 100644
index 0000000000000..68d4dde621384
--- /dev/null
+++ b/.devcontainer/setup-sparkdev.sh
@@ -0,0 +1,611 @@
+#!/bin/bash
+set +e  # Don't exit on errors - we want to track them
+
+#================================================================
+# Logging and Tracking Setup
+#================================================================
+
+# Log file paths
+SETUP_LOG_DIR="/tmp/spark-setup"
+SETUP_LOG_FILE="${SETUP_LOG_DIR}/setup.log"
+mkdir -p "${SETUP_LOG_DIR}"
+
+# Arrays to track successes and failures
+declare -a FAILED_COMMANDS=()
+declare -a SUCCESSFUL_COMMANDS=()
+declare -a WARNING_MESSAGES=()
+declare -a INFO_MESSAGES=()
+
+# Initialize log file with timestamp
+{
+    echo "========================================================================"
+    echo "Spark Development Container Setup Log"
+    echo "Started: $(date '+%Y-%m-%d %H:%M:%S')"
+    echo "User: $(whoami)"
+    echo "Platform: $(uname -a)"
+    echo "========================================================================"
+    echo ""
+} | tee "${SETUP_LOG_FILE}"
+
+# Function to log messages
+log_message() {
+    local level="$1"
+    local message="$2"
+    local timestamp=$(date '+%H:%M:%S')
+    echo "[${timestamp}] [${level}] ${message}" | tee -a "${SETUP_LOG_FILE}"
+}
+
+# Function to track failures
+track_failure() {
+    local component="$1"
+    local reason="$2"
+    FAILED_COMMANDS+=("$component: $reason")
+    log_message "FAILED" "$component - $reason"
+}
+
+# Function to track successes
+track_success() {
+    local component="$1"
+    SUCCESSFUL_COMMANDS+=("$component")
+    log_message "SUCCESS" "$component installed successfully"
+}
+
+# Function to track warnings
+track_warning() {
+    local message="$1"
+    WARNING_MESSAGES+=("$message")
+    log_message "WARNING" "$message"
+}
+
+# Function to track info
+track_info() {
+    local message="$1"
+    INFO_MESSAGES+=("$message")
+    log_message "INFO" "$message"
+}
+
+# Enable extended error reporting for line numbers
+trap 'log_message "ERROR" "Script failed on line $LINENO"; show_final_report; exit 1' ERR
+
+# Ensure SDKMAN is loaded
+export SDKMAN_DIR="/usr/local/sdkman"
+if [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]]; then
+    source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    track_info "SDKMAN loaded successfully"
+else
+    track_warning "SDKMAN initialization file not found at ${SDKMAN_DIR}/bin/sdkman-init.sh"
+fi
+
+#================================================================
+# Helper Functions for Version Detection
+#================================================================
+
+# Function to get available versions for a given SDK
+get_available_versions() {
+    local sdk_name="$1"
+    sdk list "$sdk_name" 2>/dev/null | grep -oE '[0-9]+\.[0-9]+\.[0-9]+(-[a-zA-Z0-9]+)?' | sort -V | uniq || echo ""
+}
+
+# Function to find the latest version matching a pattern
+find_latest_version() {
+    local sdk_name="$1"
+    local pattern="$2"  # e.g., "17\.|21\." for Java versions
+    
+    get_available_versions "$sdk_name" | grep -E "$pattern" | tail -1
+}
+
+# Function to install an SDK with error handling and logging
+install_sdk_with_retry() {
+    local sdk_name="$1"
+    local version="$2"
+    local default_choice="${3:-y}"  # Default to 'y' (set as default)
+    
+    if [ -z "$version" ]; then
+        track_warning "No version found matching criteria for $sdk_name"
+        return 1
+    fi
+    
+    log_message "ACTION" "Installing $sdk_name $version..."
+    
+    # Suppress SDKMAN post-installation hook errors, but capture the real output
+    local sdk_output
+    local sdk_exit_code
+    
+    # Run installation, temporarily ignoring hook errors
+    sdk_output=$(echo "$default_choice" | sdk install "$sdk_name" "$version" 2>&1)
+    sdk_exit_code=$?
+    
+    # Log the full output
+    echo "$sdk_output" >> "${SETUP_LOG_FILE}"
+    
+    # Check if the output contains the post-installation hook error
+    # This error is non-critical and often occurs even when installation succeeds
+    if echo "$sdk_output" | grep -q "__sdkman_post_installation_hook: command not found"; then
+        track_warning "$sdk_name ($version): SDKMAN post-installation hook error (non-critical)"
+        # Continue to verify installation
+        sdk_exit_code=0
+    fi
+    
+    # Verify installation by checking if binary exists
+    if [ $sdk_exit_code -eq 0 ] || grep -q "Successfully installed" <<< "$sdk_output"; then
+        # Reload SDKMAN to ensure the new version is available
+        if [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]]; then
+            source "${SDKMAN_DIR}/bin/sdkman-init.sh" 2>/dev/null || true
+        fi
+        
+        # Double-check by trying to get version
+        local version_check=$(sdk current "$sdk_name" 2>/dev/null || echo "")
+        if [ -n "$version_check" ]; then
+            track_success "$sdk_name ($version)"
+            return 0
+        else
+            # If we can't verify immediately, consider it success if SDK said so
+            if grep -q "Successfully installed" <<< "$sdk_output"; then
+                track_success "$sdk_name ($version)"
+                return 0
+            fi
+        fi
+    fi
+    
+    track_failure "$sdk_name ($version)" "Installation failed (exit code: $sdk_exit_code)"
+    return 1
+}
+
+#================================================================
+# Java Installation
+#================================================================
+echo ""
+echo "=== Installing Java versions ==="
+log_message "STAGE" "Starting Java version installation"
+
+echo "Detecting available Java versions..."
+track_info "Detecting available Java versions on this platform"
+
+# Find available Java versions
+java11=$(find_latest_version "java" "11\.")
+java17=$(find_latest_version "java" "17\.")
+java21=$(find_latest_version "java" "21\.")
+
+# Log detected versions
+[ -n "$java11" ] && track_info "Detected Java 11: $java11" || track_warning "Java 11 not available"
+[ -n "$java17" ] && track_info "Detected Java 17: $java17" || track_warning "Java 17 not available"
+[ -n "$java21" ] && track_info "Detected Java 21: $java21" || track_warning "Java 21 not available"
+
+# Prefer Java 21, then 17, then 11
+preferred_java="${java21:-${java17:-${java11}}}"
+
+if [ -n "$java11" ]; then
+    install_sdk_with_retry "java" "$java11" "y" || true
+fi
+
+if [ -n "$java17" ]; then
+    install_sdk_with_retry "java" "$java17" "n" || true
+fi
+
+if [ -n "$java21" ]; then
+    install_sdk_with_retry "java" "$java21" "n" || true
+fi
+
+if [ -n "$preferred_java" ]; then
+    track_info "Default Java version set to: $preferred_java"
+else
+    track_failure "Java Installation" "No Java versions could be installed from SDKMAN"
+fi
+
+#================================================================
+# Maven Installation
+#================================================================
+echo ""
+echo "=== Installing Maven ==="
+log_message "STAGE" "Starting Maven installation"
+
+echo "Detecting available Maven versions..."
+track_info "Detecting available Maven versions"
+
+# Find latest Maven 3.9 or 3.8
+maven39=$(find_latest_version "maven" "3\.9\.")
+maven38=$(find_latest_version "maven" "3\.8\.")
+
+# Log detected versions
+[ -n "$maven39" ] && track_info "Detected Maven 3.9: $maven39" || track_warning "Maven 3.9 not available"
+[ -n "$maven38" ] && track_info "Detected Maven 3.8: $maven38" || track_warning "Maven 3.8 not available"
+
+# Prefer Maven 3.9, then 3.8
+preferred_maven="${maven39:-${maven38}}"
+
+if [ -n "$preferred_maven" ]; then
+    install_sdk_with_retry "maven" "$preferred_maven" "y" || {
+        track_failure "Maven Installation" "Failed to install Maven $preferred_maven"
+    }
+else
+    track_failure "Maven Installation" "No Maven 3.8+ versions found - SDKMAN may be unavailable or versions not released yet"
+fi
+
+
+#================================================================
+# Just (Task Runner) Installation
+#================================================================
+echo ""
+echo "=== Installing Just (task runner) ==="
+log_message "STAGE" "Starting Just installation"
+
+install_just() {
+    echo "Fetching latest Just release..."
+    track_info "Fetching latest Just release information"
+    
+    JUST_VERSION=$(curl -s \
+        -H "Accept: application/vnd.github+json" \
+        -H "User-Agent: curl" \
+        https://api.github.com/repos/casey/just/releases/latest \
+        | jq -r '.tag_name // empty' \
+        | sed 's/^v//')
+    
+    if [ -z "$JUST_VERSION" ]; then
+        # Fallback version
+        JUST_VERSION="1.46.0"
+        track_warning "Could not detect latest Just version, using fallback: $JUST_VERSION"
+        echo "  Using fallback version: $JUST_VERSION"
+    else
+        track_info "Found Just version: $JUST_VERSION"
+        echo "  Found Just version: $JUST_VERSION"
+    fi
+
+    JUST_URL="https://github.com/casey/just/releases/download/${JUST_VERSION}/just-${JUST_VERSION}-x86_64-unknown-linux-musl.tar.gz"
+    
+    if wget -q -O /tmp/just.tar.gz "$JUST_URL" 2>/dev/null; then
+        if tar -xzf /tmp/just.tar.gz -C /tmp >> "${SETUP_LOG_FILE}" 2>&1 && sudo mv /tmp/just /usr/local/bin/ >> "${SETUP_LOG_FILE}" 2>&1; then
+            track_success "Just ($JUST_VERSION)"
+            echo "  ✓ Successfully installed Just $JUST_VERSION"
+            rm -f /tmp/just.tar.gz
+            return 0
+        else
+            track_failure "Just ($JUST_VERSION)" "Failed to extract or move Just binary"
+        fi
+    else
+        track_failure "Just ($JUST_VERSION)" "Failed to download from GitHub"
+    fi
+    
+    echo "  ✗ Warning: Could not install Just - continuing without it"
+    rm -f /tmp/just.tar.gz
+    return 1
+}
+
+install_just || true
+
+#================================================================
+# AWS Tools Installation
+#================================================================
+echo ""
+echo "=== Installing AWS tools ==="
+log_message "STAGE" "Starting AWS CLI installation"
+
+install_aws_cli() {
+    echo "Installing AWS CLI v2..."
+    track_info "Installing AWS CLI v2"
+    
+    # Update package manager
+    echo "Updating system packages..."
+    if sudo apt-get update -qq >> "${SETUP_LOG_FILE}" 2>&1 && \
+       sudo apt-get install -y -qq jq curl git unzip >> "${SETUP_LOG_FILE}" 2>&1; then
+        track_info "System packages updated successfully"
+    else
+        track_warning "Some system packages could not be installed"
+    fi
+    
+    # Download and install AWS CLI
+    echo "Downloading AWS CLI..."
+    if curl -sSL "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "/tmp/awscliv2.zip" >> "${SETUP_LOG_FILE}" 2>&1; then
+        track_info "AWS CLI archive downloaded"
+        
+        if unzip -q /tmp/awscliv2.zip -d /tmp >> "${SETUP_LOG_FILE}" 2>&1; then
+            track_info "AWS CLI archive extracted"
+            
+            if sudo /tmp/aws/install --update >> "${SETUP_LOG_FILE}" 2>&1; then
+                track_success "AWS CLI v2"
+                echo "  ✓ AWS CLI v2 installed successfully"
+                rm -rf /tmp/awscliv2.zip /tmp/aws
+                return 0
+            else
+                track_failure "AWS CLI v2" "Installation of AWS CLI binaries failed"
+            fi
+        else
+            track_failure "AWS CLI v2" "Failed to extract AWS CLI archive"
+        fi
+        rm -f /tmp/awscliv2.zip /tmp/aws
+    else
+        track_failure "AWS CLI v2" "Failed to download from awscli.amazonaws.com"
+    fi
+    
+    echo "  ✗ Warning: Could not install AWS CLI - continuing without it"
+    return 1
+}
+
+install_aws_cli || true
+
+# Configure AWS if config file exists
+echo "Configuring AWS..."
+if [ -f "/workspaces/spark/.devcontainer/aws-config" ]; then
+    mkdir -p ~/.aws
+    if cp /workspaces/spark/.devcontainer/aws-config ~/.aws/config >> "${SETUP_LOG_FILE}" 2>&1; then
+        track_success "AWS Configuration"
+        echo "  ✓ AWS configuration copied"
+    else
+        track_failure "AWS Configuration" "Failed to copy AWS config file"
+    fi
+else
+    track_info "AWS config file not found - skipping AWS configuration"
+    echo "  ℹ AWS config file not found - skipping AWS configuration"
+fi
+
+
+#================================================================
+# Shell Configuration
+#================================================================
+echo ""
+echo "=== Configuring shell environment ==="
+
+# Set bash as default shell
+if sudo chsh -s /bin/bash vscode 2>/dev/null; then
+    echo "  ✓ Set bash as default shell"
+else
+    echo "  ℹ Could not set bash as default (already set or insufficient permissions)"
+fi
+
+# Configure bash prompt and environment
+PROMPT_FILE_SRC="/workspaces/spark/.devcontainer/bash_additional.sh"
+PROMPT_FILE_DST="/home/vscode/.bash_additional.sh"
+
+if [ -f "${PROMPT_FILE_SRC}" ]; then
+    cp "${PROMPT_FILE_SRC}" "${PROMPT_FILE_DST}"
+    chown vscode:vscode "${PROMPT_FILE_DST}" 2>/dev/null || true
+    chmod 0644 "${PROMPT_FILE_DST}" 2>/dev/null || true
+    echo "  ✓ Bash additional config installed"
+else
+    echo "  ℹ Bash additional config not found - using defaults"
+fi
+
+# Add source line to .bashrc if not already present
+if ! grep -q 'bash_additional\.sh' /home/vscode/.bashrc 2>/dev/null; then
+    cat >> /home/vscode/.bashrc << 'EOF'
+
+if [ -f "$HOME/.bash_additional.sh" ]; then
+  source "$HOME/.bash_additional.sh"
+fi
+EOF
+    echo "  ✓ Updated .bashrc with bash_additional.sh sourcing"
+fi
+
+#================================================================
+# Spark Dependencies Pre-fetching
+#================================================================
+echo ""
+echo "=== Pre-fetching Spark build dependencies ==="
+echo "This may take several minutes on first run..."
+
+if [ -d "/workspaces/spark" ] && [ -f "/workspaces/spark/pom.xml" ]; then
+    cd /workspaces/spark
+    
+    # Pre-fetch Maven dependencies (non-critical, so we don't fail on error)
+    if command -v mvn &> /dev/null; then
+        if mvn dependency:go-offline -DskipTests -q 2>/dev/null; then
+            echo "  ✓ Successfully pre-fetched dependencies"
+        else
+            echo "  ⚠️  Partial dependency fetch completed (some mirrors may be unavailable)"
+        fi
+    else
+        echo "  ℹ Maven not available - skipping dependency pre-fetch"
+    fi
+else
+    echo "  ℹ Workspace or pom.xml not yet available - skipping dependency pre-fetch"
+fi
+
+#================================================================
+# Shell Configuration
+#================================================================
+echo ""
+echo "=== Configuring shell environment ==="
+log_message "STAGE" "Configuring shell environment"
+
+# Set bash as default shell
+if sudo chsh -s /bin/bash vscode 2>/dev/null; then
+    track_success "Bash Default Shell"
+    echo "  ✓ Set bash as default shell"
+else
+    track_warning "Could not set bash as default (already set or insufficient permissions)"
+    echo "  ℹ Could not set bash as default (already set or insufficient permissions)"
+fi
+
+# Configure bash prompt and environment
+PROMPT_FILE_SRC="/workspaces/spark/.devcontainer/bash_additional.sh"
+PROMPT_FILE_DST="/home/vscode/.bash_additional.sh"
+
+if [ -f "${PROMPT_FILE_SRC}" ]; then
+    if cp "${PROMPT_FILE_SRC}" "${PROMPT_FILE_DST}" >> "${SETUP_LOG_FILE}" 2>&1; then
+        chown vscode:vscode "${PROMPT_FILE_DST}" 2>/dev/null || true
+        chmod 0644 "${PROMPT_FILE_DST}" 2>/dev/null || true
+        track_success "Bash Additional Config"
+        echo "  ✓ Bash additional config installed"
+    else
+        track_failure "Bash Additional Config" "Failed to copy bash_additional.sh"
+    fi
+else
+    track_info "Bash additional config file not found - using defaults"
+    echo "  ℹ Bash additional config not found - using defaults"
+fi
+
+# Add source line to .bashrc if not already present
+if ! grep -q 'bash_additional\.sh' /home/vscode/.bashrc 2>/dev/null; then
+    if cat >> /home/vscode/.bashrc << 'EOF' >> "${SETUP_LOG_FILE}" 2>&1
+if [ -f "$HOME/.bash_additional.sh" ]; then
+  source "$HOME/.bash_additional.sh"
+fi
+EOF
+    then
+        track_success "Bashrc Update"
+        echo "  ✓ Updated .bashrc with bash_additional.sh sourcing"
+    else
+        track_failure "Bashrc Update" "Failed to update .bashrc"
+    fi
+fi
+
+#================================================================
+# Spark Dependencies Pre-fetching
+#================================================================
+echo ""
+echo "=== Pre-fetching Spark build dependencies ==="
+log_message "STAGE" "Pre-fetching Spark dependencies"
+
+echo "This may take several minutes on first run..."
+track_info "Starting dependency pre-fetch (this may take several minutes)"
+
+if [ -d "/workspaces/spark" ] && [ -f "/workspaces/spark/pom.xml" ]; then
+    cd /workspaces/spark
+    
+    # Pre-fetch Maven dependencies (non-critical, so we don't fail on error)
+    if command -v mvn &> /dev/null; then
+        echo "Running: mvn dependency:go-offline..."
+        if mvn dependency:go-offline -DskipTests -q >> "${SETUP_LOG_FILE}" 2>&1; then
+            track_success "Spark Dependencies Pre-fetch"
+            echo "  ✓ Successfully pre-fetched dependencies"
+        else
+            track_warning "Partial dependency fetch completed (some mirrors may be unavailable)"
+            echo "  ⚠️  Partial dependency fetch completed (some mirrors may be unavailable)"
+        fi
+    else
+        track_failure "Spark Dependencies Pre-fetch" "Maven not available - skipping dependency pre-fetch"
+        echo "  ℹ Maven not available - skipping dependency pre-fetch"
+    fi
+else
+    track_info "Workspace or pom.xml not yet available - skipping dependency pre-fetch"
+    echo "  ℹ Workspace or pom.xml not yet available - skipping dependency pre-fetch"
+fi
+
+#================================================================
+# Final Report Function
+#================================================================
+
+show_final_report() {
+    local success_count=${#SUCCESSFUL_COMMANDS[@]}
+    local failure_count=${#FAILED_COMMANDS[@]}
+    local warning_count=${#WARNING_MESSAGES[@]}
+    
+    echo ""
+    log_message "REPORT" "Setup process completed"
+    log_message "STATS" "Successes: $success_count, Failures: $failure_count, Warnings: $warning_count"
+    
+    echo ""
+    echo "╔════════════════════════════════════════════════════════════════╗"
+    echo "║          Spark Development Container Setup Report              ║"
+    echo "╚════════════════════════════════════════════════════════════════╝"
+    echo ""
+    
+    # Summary stats
+    echo "📊 Setup Summary:"
+    echo "   ✓ Successful: $success_count"
+    echo "   ✗ Failed: $failure_count"
+    echo "   ⚠️  Warnings: $warning_count"
+    echo ""
+    
+    # Successful installations
+    if [ $success_count -gt 0 ]; then
+        echo "✅ Successfully Installed:"
+        for cmd in "${SUCCESSFUL_COMMANDS[@]}"; do
+            echo "   • $cmd"
+        done
+        echo ""
+    fi
+    
+    # Failed installations - IMPORTANT FOR DEVELOPERS
+    if [ $failure_count -gt 0 ]; then
+        echo "❌ Failed Installations (Developer Action Required):"
+        for failed in "${FAILED_COMMANDS[@]}"; do
+            echo "   • $failed"
+        done
+        echo ""
+        echo "💡 Troubleshooting Steps:"
+        echo "   1. Check the full log at: ${SETUP_LOG_FILE}"
+        echo "   2. For SDKMAN issues:"
+        echo "      - Check SDKMAN is installed: ls ${SDKMAN_DIR}/bin/sdkman-init.sh"
+        echo "      - Reload SDKMAN: source ${SDKMAN_DIR}/bin/sdkman-init.sh"
+        echo "      - List available versions: sdk list java (or maven)"
+        echo "   3. For network issues, verify internet connectivity"
+        echo "   4. Try running the setup script again"
+        echo ""
+    fi
+    
+    # Warnings
+    if [ $warning_count -gt 0 ]; then
+        echo "⚠️  Warnings (Review Recommended):"
+        for warning in "${WARNING_MESSAGES[@]}"; do
+            echo "   • $warning"
+        done
+        echo ""
+    fi
+    
+    # Installed versions
+    echo "🔍 Installed Component Versions:"
+    if command -v java &> /dev/null; then
+        echo "   • Java: $(java -version 2>&1 | head -1)"
+    else
+        echo "   • Java: ⚠️  Not available"
+    fi
+    
+    if command -v mvn &> /dev/null; then
+        echo "   • Maven: $(mvn -v 2>&1 | head -1)"
+    else
+        echo "   • Maven: ⚠️  Not available"
+    fi
+    
+    if command -v just &> /dev/null; then
+        echo "   • Just: $(just --version 2>/dev/null)"
+    else
+        echo "   • Just: ⚠️  Not available"
+    fi
+    
+    if command -v aws &> /dev/null; then
+        echo "   • AWS CLI: $(aws --version 2>&1)"
+    else
+        echo "   • AWS CLI: ⚠️  Not available"
+    fi
+    echo ""
+    
+    # Next steps
+    echo "📝 Next Steps:"
+    echo "   1. Review the full log: cat ${SETUP_LOG_FILE}"
+    echo "   2. Source your shell config: source ~/.bashrc"
+    echo "   3. Verify SDK versions: sdk current"
+    echo "   4. Start building: mvn clean install"
+    echo ""
+    
+    # Log details
+    echo "📂 Log File: ${SETUP_LOG_FILE}"
+    echo ""
+    
+    {
+        echo ""
+        echo "========================================================================"
+        echo "Setup completed at: $(date '+%Y-%m-%d %H:%M:%S')"
+        echo "Total successes: $success_count"
+        echo "Total failures: $failure_count"
+        echo "Total warnings: $warning_count"
+        echo "========================================================================"
+    } >> "${SETUP_LOG_FILE}"
+}
+
+#================================================================
+# Setup Summary
+#================================================================
+echo ""
+echo "=== Setup Process Complete ==="
+log_message "STAGE" "Setup process finished, generating report"
+
+show_final_report
+
+# Exit with appropriate code
+if [ ${#FAILED_COMMANDS[@]} -gt 0 ]; then
+    echo "⚠️  Setup completed with some failures. See report above."
+    exit 0  # Don't fail - allow container to start even with some failures
+else
+    echo "✅ Setup completed successfully!"
+    exit 0
+fi
\ No newline at end of file
diff --git a/.devcontainer/setup.md b/.devcontainer/setup.md
new file mode 100644
index 0000000000000..38a090cf1c814
--- /dev/null
+++ b/.devcontainer/setup.md
@@ -0,0 +1,3 @@
+# Local setup
+
+> checkout /tmp/setup.log to understand setup was successful or not and take appropriate action.
\ No newline at end of file

From 27f6e6547d53e76f0475c11bf11b007cca367fbf Mon Sep 17 00:00:00 2001
From: abhishek6s <abhishek.gupta@6sense.com>
Date: Mon, 18 May 2026 11:04:50 +0000
Subject: [PATCH 986/986] initial commit

---
 .devcontainer.json                            |   1 +
 justfile                                      | 349 ++++++++++++++++++
 .../apache/spark/sql/internal/SQLConf.scala   |  16 +
 .../PartitioningAwareFileIndex.scala          |  57 ++-
 .../datasources/FileIndexSuite.scala          | 128 +++++++
 5 files changed, 549 insertions(+), 2 deletions(-)
 create mode 100644 .devcontainer.json
 create mode 100644 justfile

diff --git a/.devcontainer.json b/.devcontainer.json
new file mode 100644
index 0000000000000..ab44853849448
--- /dev/null
+++ b/.devcontainer.json
@@ -0,0 +1 @@
+{"image":"mcr.microsoft.com/devcontainers/java"}
\ No newline at end of file
diff --git a/justfile b/justfile
new file mode 100644
index 0000000000000..721811f7b60e5
--- /dev/null
+++ b/justfile
@@ -0,0 +1,349 @@
+# Spark Development Build and Management Tasks
+
+set shell := ["bash", "-c"]
+
+# Default recipe - show help
+default:
+    @just --list
+
+# ============================================================================
+# Environment Management
+# ============================================================================
+
+# Load environment variables from .env file
+load-env:
+    #!/bin/bash
+    if [ -f .env ]; then
+        set -a
+        source .env
+        set +a
+        echo "Environment loaded from .env"
+        env | grep -E "^(SPARK_|JAVA_|MAVEN_|HADOOP_)" | head -20 || true
+    else
+        echo "No .env file found in current directory"
+    fi
+
+# ============================================================================
+# Java Version Management
+# ============================================================================
+
+# Switch to Java 8
+java8:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk default java 8.0.402-amzn
+    java -version
+
+# Switch to Java 11
+java11:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk default java 11.0.22-amzn
+    java -version
+
+# Switch to Java 17
+java17:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk default java 17.0.10-amzn
+    java -version
+
+# List installed Java versions
+java-list:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk list java | head -30
+
+# ============================================================================
+# Maven Version Management
+# ============================================================================
+
+# Switch to Maven 3.8.x
+maven38:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk default maven 3.8.8
+    mvn --version
+
+# Switch to Maven 3.9.x (recommended for Spark 3.5)
+maven39:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk default maven 3.9.6
+    mvn --version
+
+# List installed Maven versions
+maven-list:
+    #!/bin/bash
+    export SDKMAN_DIR="/usr/local/sdkman"
+    [[ -s "${SDKMAN_DIR}/bin/sdkman-init.sh" ]] && source "${SDKMAN_DIR}/bin/sdkman-init.sh"
+    sdk list maven | head -30
+
+# ============================================================================
+# Build Tasks
+# ============================================================================
+
+# Clean the entire project
+clean:
+    mvn clean
+
+# Build entire project without tests (fast build)
+build-without-tests:
+    echo "=== Building Spark without tests ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true
+
+# Build with tests (slower, comprehensive)
+build-with-tests:
+    echo "=== Building Spark with tests ==="
+    mvn clean install -Dmaven.javadoc.skip=true
+
+# Build distribution package (tgz)
+build-dist:
+    #!/bin/bash
+    echo "=== Building Spark distribution ==="
+    ./dev/make-distribution.sh --name custom --pip --tgz -Phadoop-3 -Phive -Phive-thriftserver -Pyarn -Pkubernetes
+
+# Build distribution without R support
+build-dist-no-r:
+    #!/bin/bash
+    echo "=== Building Spark distribution (no R) ==="
+    ./dev/make-distribution.sh --name custom --pip --tgz -Phadoop-3 -Phive -Phive-thriftserver -Pyarn -Pkubernetes
+
+# Build with specific Hadoop version
+build-hadoop version="3.3.4":
+    echo "=== Building Spark with Hadoop {{version}} ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -Dhadoop.version={{version}}
+
+# Build with YARN support
+build-yarn:
+    echo "=== Building Spark with YARN ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -Pyarn
+
+# Build with Kubernetes support
+build-kubernetes:
+    echo "=== Building Spark with Kubernetes ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -Pkubernetes
+
+# Build with Hive support
+build-hive:
+    echo "=== Building Spark with Hive ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -Phive -Phive-thriftserver
+
+# Build with all common profiles
+build-full:
+    echo "=== Building Spark with all profiles ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -Pyarn -Pkubernetes -Phive -Phive-thriftserver -Phadoop-cloud
+
+# ============================================================================
+# Module-specific Build Tasks
+# ============================================================================
+
+# Build a specific module (e.g., just build-module sql/core)
+build-module module:
+    echo "=== Building module: {{module}} ==="
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl {{module}} -am
+
+# Build core module
+build-core:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl core -am
+
+# Build SQL core module
+build-sql-core:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl sql/core -am
+
+# Build SQL catalyst module
+build-catalyst:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl sql/catalyst -am
+
+# Build SQL Hive module
+build-sql-hive:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl sql/hive -am
+
+# Build MLlib module
+build-mllib:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl mllib -am
+
+# Build Streaming module
+build-streaming:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl streaming -am
+
+# Build GraphX module
+build-graphx:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl graphx -am
+
+# Build Spark Connect server
+build-connect-server:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl connector/connect/server -am
+
+# Build Spark Connect client
+build-connect-client:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl connector/connect/client/jvm -am
+
+# Build Kafka connector
+build-kafka:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl connector/kafka-0-10-sql -am
+
+# Build Avro connector
+build-avro:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl connector/avro -am
+
+# Build assembly module
+build-assembly:
+    mvn clean install -DskipTests -Dmaven.javadoc.skip=true -pl assembly -am
+
+# ============================================================================
+# Testing Tasks
+# ============================================================================
+
+# Run tests for a specific module
+test-module module:
+    echo "=== Testing module: {{module}} ==="
+    mvn test -pl {{module}}
+
+# Run a specific test class
+test-class module class:
+    echo "=== Running test class: {{class}} in {{module}} ==="
+    mvn test -pl {{module}} -Dtest={{class}}
+
+# Run Scala tests only
+test-scala module:
+    mvn test -pl {{module}} -Dtest=none -DwildcardSuites={{module}}
+
+# Run tests with specific tags
+test-tagged tag:
+    mvn test -Dtest.include.tags={{tag}}
+
+# ============================================================================
+# Code Quality Tasks
+# ============================================================================
+
+# Run checkstyle validation
+checkstyle:
+    mvn checkstyle:check
+
+# Run scalastyle validation
+scalastyle:
+    mvn scalastyle:check
+
+# Run both checkstyle and scalastyle
+lint: checkstyle scalastyle
+
+# Validate project structure
+validate:
+    mvn validate
+
+# ============================================================================
+# Dependency Tasks
+# ============================================================================
+
+# Fetch dependencies only (no build)
+fetch-deps:
+    mvn dependency:go-offline -DskipTests
+
+# Display dependency tree for a module
+deps-tree module="core":
+    mvn dependency:tree -pl {{module}}
+
+# Check for dependency updates
+deps-updates:
+    mvn versions:display-dependency-updates
+
+# ============================================================================
+# Utility Tasks
+# ============================================================================
+
+# Show current Java version
+show-java:
+    java -version
+
+# Show current Maven version
+show-maven:
+    mvn --version
+
+# Show SDKMAN environment
+show-sdkman:
+    #!/bin/bash
+    echo "SDKMAN_DIR: ${SDKMAN_DIR:-not set}"
+    echo "JAVA_HOME: ${JAVA_HOME:-not set}"
+    echo "M2_HOME: ${M2_HOME:-not set}"
+    echo ""
+    echo "Current Java:"
+    java -version
+    echo ""
+    echo "Current Maven:"
+    mvn --version
+
+# Clear local Maven cache (use with caution)
+clear-m2-cache:
+    rm -rf ~/.m2/repository/*
+    echo "Maven cache cleared"
+
+# Display build information
+info:
+    #!/bin/bash
+    echo "=== Spark Build Environment ==="
+    echo ""
+    echo "Spark Version: 3.5.5"
+    echo "Scala Version: 2.12.18"
+    echo ""
+    echo "Java Version:"
+    java -version 2>&1 | head -1
+    echo ""
+    echo "Maven Version:"
+    mvn --version 2>&1 | head -1
+    echo ""
+    echo "Workspace: $(pwd)"
+    echo ""
+    echo "Available profiles:"
+    echo "  - hadoop-3, hadoop-provided"
+    echo "  - yarn"
+    echo "  - kubernetes"
+    echo "  - hive, hive-thriftserver, hive-provided"
+    echo "  - scala-2.12, scala-2.13"
+    echo "  - hadoop-cloud"
+    echo "  - kinesis-asl"
+    echo ""
+
+# Show this help
+help: info
+    @just --list
+
+# ============================================================================
+# Scala Version Management
+# ============================================================================
+
+# Switch to Scala 2.12 (default)
+scala212:
+    ./dev/change-scala-version.sh 2.12
+    echo "Switched to Scala 2.12"
+
+# Switch to Scala 2.13
+scala213:
+    ./dev/change-scala-version.sh 2.13
+    echo "Switched to Scala 2.13"
+
+# ============================================================================
+# Development Shortcuts
+# ============================================================================
+
+# Quick rebuild after code changes (incremental)
+rebuild module="core":
+    mvn install -DskipTests -Dmaven.javadoc.skip=true -pl {{module}} -am -o
+
+# Package without running tests
+package:
+    mvn package -DskipTests -Dmaven.javadoc.skip=true
+
+# Generate IDE project files for IntelliJ
+idea:
+    mvn idea:idea
+
+# Generate IDE project files for Eclipse
+eclipse:
+    mvn eclipse:eclipse
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index e6f8e11b0d50d..75a0bf97747e6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3072,6 +3072,20 @@ object SQLConf {
       .booleanConf
       .createWithDefault(true)
 
+  val HIVE_PARTITION_SUBDIR_ACTION =
+    buildConf("spark.sql.hive.convertMetastore.subdirPartitionAction")
+      .doc("Controls how Spark handles subdirectories (e.g. HIVE_UNION_DIR_*) found inside " +
+        "Hive partition directories when reading converted metastore tables " +
+        "(spark.sql.hive.convertMetastoreOrc/Parquet = true). " +
+        "'ignore' (default) silently returns no data for affected partitions. " +
+        "'fail' throws an exception so users know about the subdirectory layout. " +
+        "'recurse' automatically includes data files found in subdirectories of partition paths.")
+      .version("3.5.5")
+      .stringConf
+      .transform(_.toLowerCase(Locale.ROOT))
+      .checkValues(Set("ignore", "fail", "recurse"))
+      .createWithDefault("ignore")
+
   val CONTINUOUS_STREAMING_EPOCH_BACKLOG_QUEUE_SIZE =
     buildConf("spark.sql.streaming.continuous.epochBacklogQueueSize")
       .doc("The max number of entries to be stored in queue to wait for late epochs. " +
@@ -5107,6 +5121,8 @@ class SQLConf extends Serializable with Logging with SqlApiConf {
 
   def validatePartitionColumns: Boolean = getConf(VALIDATE_PARTITION_COLUMNS)
 
+  def hivePartitionSubdirAction: String = getConf(HIVE_PARTITION_SUBDIR_ACTION)
+
   def partitionOverwriteMode: PartitionOverwriteMode.Value =
     PartitionOverwriteMode.withName(getConf(PARTITION_OVERWRITE_MODE))
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
index b25162aad9a77..88bf603d93f32 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
@@ -22,6 +22,7 @@ import scala.collection.mutable
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs._
 
+import org.apache.spark.SparkException
 import org.apache.spark.internal.Logging
 import org.apache.spark.paths.SparkPath
 import org.apache.spark.sql.SparkSession
@@ -29,6 +30,7 @@ import org.apache.spark.sql.catalyst.{expressions, InternalRow}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
 import org.apache.spark.sql.execution.datasources.FileFormat.createMetadataInternalRow
+import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.StructType
 
 /**
@@ -129,8 +131,12 @@ abstract class PartitioningAwareFileIndex(
                 matchFileMetadataPredicate(values, f))
 
             case None =>
-              // Directory does not exist, or has no children files
-              Nil
+              // Directory does not exist, or has no children files.
+              // Check for subdirectories (e.g. HIVE_UNION_DIR_*) that may contain
+              // data files when reading converted Hive metastore tables.
+              (path, values).filter(f =>handlePartitionSubdirs
+                matchPathPattern(f) && isNonEmptyFile(f) &&
+                  matchFileMetadataPredicate(values, f))
           }
           PartitionDirectory(values, files.toArray)
       }
@@ -178,6 +184,53 @@ abstract class PartitioningAwareFileIndex(
     files.filter(matchPathPattern)
   }
 
+  /**
+   * Handles the case where a partition directory path has no direct children files
+   * in `leafDirToChildrenFiles`. This occurs when Hive creates subdirectories
+   * (e.g. HIVE_UNION_DIR_*) inside partition directories during UNION ALL operations.
+   *
+   * Behavior is controlled by `spark.sql.hive.convertMetastore.subdirPartitionAction`:
+   * - "ignore": returns Nil (current default behavior)
+   * - "fail": throws an exception if subdirectories with data files exist
+   * - "recurse": collects and returns data files from subdirectories
+   */
+  private def handlePartitionSubdirs(
+      partitionPath: Path,
+      partitionValues: InternalRow): Seq[FileStatus] = {
+    val action = sparkSession.sessionState.conf.hivePartitionSubdirAction
+    if (action == "ignore") {
+      return Nil
+    }
+
+    // Find all leaf directories that are descendants of this partition path.
+    val partitionPathStr = partitionPath.toUri.getPath.stripSuffix("/") + "/"
+    val subdirEntries = leafDirToChildrenFiles.filter { case (dir, _) =>
+      val dirStr = dir.toUri.getPath.stripSuffix("/") + "/"
+      dirStr.startsWith(partitionPathStr) && dirStr != partitionPathStr
+    }
+
+    if (subdirEntries.isEmpty) {
+      return Nil
+    }
+
+    action match {
+      case "fail" =>
+        val subdirNames = subdirEntries.keys.map(_.getName).mkString(", ")
+        throw new SparkException(
+          s"Partition directory $partitionPath contains subdirectories [$subdirNames] " +
+            s"with data files. This typically occurs with Hive UNION ALL operations that create " +
+            s"HIVE_UNION_DIR_* subdirectories. Either set " +
+            s"spark.sql.hive.convertMetastoreOrc=false / " +
+            s"spark.sql.hive.convertMetastoreParquet=false to use the Hive serde reader, or set " +
+            s"spark.sql.hive.convertMetastore.subdirPartitionAction=recurse to automatically " +
+            s"include files from subdirectories.")
+      case "recurse" =>
+        logInfo(s"Partition $partitionPath has no direct data files but has subdirectories. " +
+          s"Recursing into subdirectories to find data files.")
+        subdirEntries.values.flatten.toSeq
+    }
+  }
+
   protected def inferPartitioning(): PartitionSpec = {
     if (recursiveFileLookup) {
       PartitionSpec.emptySpec
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileIndexSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileIndexSuite.scala
index 9ac61f0cee5fc..5a7eb60d5ab96 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileIndexSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileIndexSuite.scala
@@ -32,11 +32,13 @@ import org.mockito.Mockito.{mock, when}
 import org.apache.spark.{SparkException, SparkRuntimeException}
 import org.apache.spark.metrics.source.HiveCatalogMetrics
 import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
+import org.apache.spark.unsafe.types.UTF8String
 import org.apache.spark.util.KnownSizeEstimation
 
 class FileIndexSuite extends SharedSparkSession {
@@ -554,8 +556,134 @@ class FileIndexSuite extends SharedSparkSession {
     assert(FileIndexOptions.isValidOption("modifiedafter"))
     assert(FileIndexOptions.isValidOption("pathglobfilter"))
   }
+
+  test("subdirPartitionAction=ignore: returns no files for partition subdirs (default)") {
+    withTempDir { dir =>
+      val (partitionSchema, partitions) = createHiveUnionDirLayout(dir)
+      withSQLConf(SQLConf.HIVE_PARTITION_SUBDIR_ACTION.key -> "ignore") {
+        val fileIndex = new InMemoryFileIndex(
+          spark,
+          rootPathsSpecified = partitions.map(_.path),
+          parameters = Map.empty,
+          userSpecifiedSchema = Some(partitionSchema),
+          userSpecifiedPartitionSpec = Some(PartitionSpec(partitionSchema, partitions)))
+        val files = fileIndex.listFiles(Nil, Nil)
+        assert(files.length == 2)
+        assert(files.forall(_.files.isEmpty),
+          "ignore mode should return no files for partitions with only subdirectories")
+      }
+    }
+  }
+
+  test("subdirPartitionAction=fail: throws exception for partition subdirs") {
+    withTempDir { dir =>
+      val (partitionSchema, partitions) = createHiveUnionDirLayout(dir)
+      withSQLConf(SQLConf.HIVE_PARTITION_SUBDIR_ACTION.key -> "fail") {
+        val fileIndex = new InMemoryFileIndex(
+          spark,
+          rootPathsSpecified = partitions.map(_.path),
+          parameters = Map.empty,
+          userSpecifiedSchema = Some(partitionSchema),
+          userSpecifiedPartitionSpec = Some(PartitionSpec(partitionSchema, partitions)))
+        val ex = intercept[SparkException] {
+          fileIndex.listFiles(Nil, Nil)
+        }
+        assert(ex.getMessage.contains("subdirectories"))
+        assert(ex.getMessage.contains("HIVE_UNION_DIR"))
+      }
+    }
+  }
+
+  test("subdirPartitionAction=recurse: returns files from partition subdirs") {
+    withTempDir { dir =>
+      val (partitionSchema, partitions) = createHiveUnionDirLayout(dir)
+      withSQLConf(SQLConf.HIVE_PARTITION_SUBDIR_ACTION.key -> "recurse") {
+        val fileIndex = new InMemoryFileIndex(
+          spark,
+          rootPathsSpecified = partitions.map(_.path),
+          parameters = Map.empty,
+          userSpecifiedSchema = Some(partitionSchema),
+          userSpecifiedPartitionSpec = Some(PartitionSpec(partitionSchema, partitions)))
+        val files = fileIndex.listFiles(Nil, Nil)
+        assert(files.length == 2)
+        val allFiles = files.flatMap(_.files)
+        assert(allFiles.length == 2, "recurse mode should find data files in subdirectories")
+        assert(allFiles.map(_.getPath.getName).toSet == Set("data.txt"))
+      }
+    }
+  }
+
+  test("subdirPartitionAction=recurse: works with mixed direct and subdir files") {
+    withTempDir { dir =>
+      // partition=value1 has a direct file
+      val part1 = new File(dir, "partition=value1")
+      part1.mkdirs()
+      val directFile = new File(part1, "direct.txt")
+      stringToFile(directFile, "direct")
+
+      // partition=value2 has files in a subdirectory
+      val part2 = new File(dir, "partition=value2")
+      val subDir2 = new File(part2, "HIVE_UNION_DIR_1")
+      subDir2.mkdirs()
+      stringToFile(new File(subDir2, "data.txt"), "data2")
+
+      val partitionSchema = StructType(Seq(StructField("partition", StringType)))
+      val fs = new Path(dir.getCanonicalPath).getFileSystem(spark.sessionState.newHadoopConf())
+      val partitions = Seq(
+        PartitionPath(InternalRow(UTF8String.fromString("value1")),
+          fs.makeQualified(new Path(part1.getCanonicalPath))),
+        PartitionPath(InternalRow(UTF8String.fromString("value2")),
+          fs.makeQualified(new Path(part2.getCanonicalPath)))
+      )
+
+      withSQLConf(SQLConf.HIVE_PARTITION_SUBDIR_ACTION.key -> "recurse") {
+        val fileIndex = new InMemoryFileIndex(
+          spark,
+          rootPathsSpecified = partitions.map(_.path),
+          parameters = Map.empty,
+          userSpecifiedSchema = Some(partitionSchema),
+          userSpecifiedPartitionSpec = Some(PartitionSpec(partitionSchema, partitions)))
+        val files = fileIndex.listFiles(Nil, Nil)
+        // partition=value1 should have 1 direct file
+        assert(files(0).files.length == 1)
+        assert(files(0).files(0).getPath.getName == "direct.txt")
+        // partition=value2 should have 1 file from subdirectory
+        assert(files(1).files.length == 1)
+        assert(files(1).files(0).getPath.getName == "data.txt")
+      }
+    }
+  }
+
+  /**
+   * Creates a directory layout mimicking Hive UNION ALL output:
+   *   dir/partition=value1/HIVE_UNION_DIR_1/data.txt
+   *   dir/partition=value2/HIVE_UNION_DIR_1/data.txt
+   * Returns (partitionSchema, partitions) for use with InMemoryFileIndex.
+   */
+  private def createHiveUnionDirLayout(dir: File): (StructType, Seq[PartitionPath]) = {
+    val part1 = new File(dir, "partition=value1")
+    val subDir1 = new File(part1, "HIVE_UNION_DIR_1")
+    subDir1.mkdirs()
+    stringToFile(new File(subDir1, "data.txt"), "data1")
+
+    val part2 = new File(dir, "partition=value2")
+    val subDir2 = new File(part2, "1")
+    subDir2.mkdirs()
+    stringToFile(new File(subDir2, "data.txt"), "data2")
+
+    val partitionSchema = StructType(Seq(StructField("partition", StringType)))
+    val fs = new Path(dir.getCanonicalPath).getFileSystem(spark.sessionState.newHadoopConf())
+    val partitions = Seq(
+      PartitionPath(InternalRow(UTF8String.fromString("value1")),
+        fs.makeQualified(new Path(part1.getCanonicalPath))),
+      PartitionPath(InternalRow(UTF8String.fromString("value2")),
+        fs.makeQualified(new Path(part2.getCanonicalPath)))
+    )
+    (partitionSchema, partitions)
+  }
 }
 
+
 object DeletionRaceFileSystem {
   val rootDirPath: Path = new Path("mockFs:///rootDir/")
   val subDirPath: Path = new Path(rootDirPath, "subDir")